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"Installing collected packages: catboost, vaderSentiment, autoviml\n", "Successfully installed autoviml-0.1.623 catboost-0.23 vaderSentiment-3.3.1\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "fUbFvR7LDB3U", "colab_type": "code", "colab": {} }, "source": [ "import tensorflow_datasets as tfds\n", "import numpy as np\n", "import pandas as pd" ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "QDH43tw-DN4y", "colab_type": "code", "outputId": "e89546c8-57b0-4982-9b41-585e1e03839e", "colab": { "base_uri": "https://localhost:8080/", "height": 55, "referenced_widgets": [ "741e53c8bd28476085863de2c59b0b81", "e30f4bb0c630413ebca72d6579dc5bb5", "0603328e61444890aea273fe83c9bb2e", "3795d7657b1b44628f0e2194e3ff96a0", "9957b6f294014591acb4fe3ceb7a7814", "3cd73538536e4b489c20a29894ecc9a5", "f255cc7855cc4475aee6c3462fb3651a", "4def18a488844517bee227667979e9c4", "0db890d94b2f41bd94a182aaaa6582a1", "b4d3fff6bdd24b0fb78ed2d1a8a03f4a", "ee85418a863b46b0b2813e68ef956c38", "fc0d056b3f3849b29b78e54c6a3daac5", "0e7758dc2498446aa6f03e0ef1610642", "c8f9b9858019469fa7797c180590df0c", "e1df2b3c28514245997e3217c1701bc5", "dbfa10d3706b42229f1e10ff485bce0a", "44c8fe14b41b4778ba9de6fbd19a1f91", "f149a05c24204eeab163fd7675fdf2ae", "aa42e04992eb46b7be6af79a7d7fb211", "b8d08a0f6c0f4852aa84e3813ae43c0d", "cd8f9d784a67490f88c1d397d1e4a172", "30a0b48c2b6f4c46a09aaee9e8c3f446", "e277ba0b894a4316a5cbead050a839d7", "17883cfdbb0648c89a7a36f28ff6c48a", "4d6e0a71879b461b94cf116a2d42f37a", "4fa107e6a6a845c6a1bddae6d7bb06b6", "a6dc638166254dee86bf416d3ef2dd41", "bb870373a2164a119b67525d02e4bbb5", "f0591d4b3feb4ec4b361f2b621d7b4d9", "a8213c49b8434bd0a5b71fa0919c7276", "24fb5753af724ec78ce17dbbaf05a457", "fc0cc317e6d14d3b86a0d9593f893db3", "7340cebb85f44019a9988bbc71711714", "40b4ead79bd749a09a953a5ba8920436", "2a1e4ccdea6a43f2a1a0f1f184012313", "3f55cc7f65324ac7bbfc8463a6f0d571" ] } }, "source": [ "dataset, info = tfds.load('amazon_us_reviews/Personal_Care_Appliances_v1_00', with_info=True, batch_size=-1)\n", "train_dataset = dataset['train']" ], "execution_count": 0, "outputs": [ { "output_type": "stream", "text": [ "\u001b[1mDownloading and preparing dataset amazon_us_reviews/Personal_Care_Appliances_v1_00/0.1.0 (download: 16.82 MiB, generated: Unknown size, total: 16.82 MiB) to /root/tensorflow_datasets/amazon_us_reviews/Personal_Care_Appliances_v1_00/0.1.0...\u001b[0m\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "741e53c8bd28476085863de2c59b0b81", "version_minor": 0, "version_major": 2 }, "text/plain": [ "HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Dl Completed...', max=1.0, style=Progre…" ] }, "metadata": { "tags": [] } }, { "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0db890d94b2f41bd94a182aaaa6582a1", "version_minor": 0, "version_major": 2 }, "text/plain": [ "HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Dl Size...', max=1.0, style=ProgressSty…" ] }, "metadata": { "tags": [] } }, { "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "44c8fe14b41b4778ba9de6fbd19a1f91", "version_minor": 0, "version_major": 2 }, "text/plain": [ "HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Extraction completed...', max=1.0, styl…" ] }, "metadata": { "tags": [] } }, { "output_type": "stream", "text": [ "/usr/local/lib/python3.6/dist-packages/urllib3/connectionpool.py:847: InsecureRequestWarning: Unverified HTTPS request is being made. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings\n", " InsecureRequestWarning)\n" ], "name": "stderr" }, { "output_type": "stream", "text": [ "\n", "\n", "\n", "\n", "\n", "\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4d6e0a71879b461b94cf116a2d42f37a", "version_minor": 0, "version_major": 2 }, "text/plain": [ "HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))" ] }, "metadata": { "tags": [] } }, { "output_type": "stream", "text": [ "\rShuffling and writing examples to /root/tensorflow_datasets/amazon_us_reviews/Personal_Care_Appliances_v1_00/0.1.0.incompleteW5XX91/amazon_us_reviews-train.tfrecord\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7340cebb85f44019a9988bbc71711714", "version_minor": 0, "version_major": 2 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, max=85981.0), HTML(value='')))" ] }, "metadata": { "tags": [] } }, { "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "783b771747d94c6dac45108ae5354f86", "version_minor": 0, "version_major": 2 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, description='Computing statistics...', max=1.0, style=ProgressStyle(de…" ] }, "metadata": { "tags": [] } }, { "output_type": "stream", "text": [ "\r" ], "name": "stdout" }, { "output_type": "display_data", "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c267bf2e9a4645bb9ac1669aa7aa20b4", "version_minor": 0, "version_major": 2 }, "text/plain": [ "HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))" ] }, "metadata": { "tags": [] } }, { "output_type": "stream", "text": [ "ERROR:absl:Statistics generation doesn't work for nested structures yet\n" ], "name": "stderr" }, { "output_type": "stream", "text": [ "\r\n", "\u001b[1mDataset amazon_us_reviews downloaded and prepared to /root/tensorflow_datasets/amazon_us_reviews/Personal_Care_Appliances_v1_00/0.1.0. Subsequent calls will reuse this data.\u001b[0m\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "u1diITDtD9xD", "colab_type": "code", "outputId": "97ad7df6-54c3-4334-c57e-a7b76298fb10", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 } }, "source": [ "info" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "tfds.core.DatasetInfo(\n", " name='amazon_us_reviews',\n", " version=0.1.0,\n", " description='Amazon Customer Reviews (a.k.a. Product Reviews) is one of Amazons iconic products. In a period of over two decades since the first review in 1995, millions of Amazon customers have contributed over a hundred million reviews to express opinions and describe their experiences regarding products on the Amazon.com website. This makes Amazon Customer Reviews a rich source of information for academic researchers in the fields of Natural Language Processing (NLP), Information Retrieval (IR), and Machine Learning (ML), amongst others. Accordingly, we are releasing this data to further research in multiple disciplines related to understanding customer product experiences. Specifically, this dataset was constructed to represent a sample of customer evaluations and opinions, variation in the perception of a product across geographical regions, and promotional intent or bias in reviews.\n", "\n", "Over 130+ million customer reviews are available to researchers as part of this release. The data is available in TSV files in the amazon-reviews-pds S3 bucket in AWS US East Region. Each line in the data files corresponds to an individual review (tab delimited, with no quote and escape characters).\n", "\n", "Each Dataset contains the following columns : \n", " marketplace - 2 letter country code of the marketplace where the review was written.\n", " customer_id - Random identifier that can be used to aggregate reviews written by a single author.\n", " review_id - The unique ID of the review.\n", " product_id - The unique Product ID the review pertains to. In the multilingual dataset the reviews\n", " for the same product in different countries can be grouped by the same product_id.\n", " product_parent - Random identifier that can be used to aggregate reviews for the same product.\n", " product_title - Title of the product.\n", " product_category - Broad product category that can be used to group reviews \n", " (also used to group the dataset into coherent parts).\n", " star_rating - The 1-5 star rating of the review.\n", " helpful_votes - Number of helpful votes.\n", " total_votes - Number of total votes the review received.\n", " vine - Review was written as part of the Vine program.\n", " verified_purchase - The review is on a verified purchase.\n", " review_headline - The title of the review.\n", " review_body - The review text.\n", " review_date - The date the review was written.\n", "',\n", " homepage='https://s3.amazonaws.com/amazon-reviews-pds/readme.html',\n", " features=FeaturesDict({\n", " 'data': FeaturesDict({\n", " 'customer_id': tf.string,\n", " 'helpful_votes': tf.int32,\n", " 'marketplace': tf.string,\n", " 'product_category': tf.string,\n", " 'product_id': tf.string,\n", " 'product_parent': tf.string,\n", " 'product_title': tf.string,\n", " 'review_body': tf.string,\n", " 'review_date': tf.string,\n", " 'review_headline': tf.string,\n", " 'review_id': tf.string,\n", " 'star_rating': tf.int32,\n", " 'total_votes': tf.int32,\n", " 'verified_purchase': ClassLabel(shape=(), dtype=tf.int64, num_classes=2),\n", " 'vine': ClassLabel(shape=(), dtype=tf.int64, num_classes=2),\n", " }),\n", " }),\n", " total_num_examples=85981,\n", " splits={\n", " 'train': 85981,\n", " },\n", " supervised_keys=None,\n", " citation=\"\"\"\"\"\",\n", " redistribution_info=,\n", ")" ] }, "metadata": { "tags": [] }, "execution_count": 4 } ] }, { "cell_type": "code", "metadata": { "id": "FeuwcjT2oLWd", "colab_type": "code", "colab": {} }, "source": [ "dataset=tfds.as_numpy(train_dataset)" ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "FCy_iKoLwZWH", "colab_type": "code", "outputId": "d99c1f8d-b6db-4b6e-a795-7e4ead1d6a65", "colab": { "base_uri": "https://localhost:8080/", "height": 783 } }, "source": [ "dataset" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "{'data': {'customer_id': array([b'13986323', b'50574716', b'50593972', ..., b'40719682',\n", " b'35596948', b'29430209'], dtype=object),\n", " 'helpful_votes': array([0, 3, 0, ..., 0, 0, 0], dtype=int32),\n", " 'marketplace': array([b'US', b'US', b'US', ..., b'US', b'US', b'US'], dtype=object),\n", " 'product_category': array([b'Personal_Care_Appliances', b'Personal_Care_Appliances',\n", " b'Personal_Care_Appliances', ..., b'Personal_Care_Appliances',\n", " b'Personal_Care_Appliances', b'Personal_Care_Appliances'],\n", " dtype=object),\n", " 'product_id': array([b'B00847JQZ6', b'B00N5HD340', b'B0077L1X24', ..., b'B000UZ8X2W',\n", " b'B000NURPPK', b'B001EY5GNW'], dtype=object),\n", " 'product_parent': array([b'997683625', b'955577225', b'120764066', ..., b'96066145',\n", " b'58591097', b'986877728'], dtype=object),\n", " 'product_title': array([b'SE - Reading Glass - Spring Loaded Hinges, 4.0x - RTS62400',\n", " b'Straight Razor',\n", " b'Philips Sonicare Flexcare & Healthy White Plastic Travel Handle Case New Bulk Package',\n", " ...,\n", " b'Remington R-9200 Microflex Ultra TCT Shaver [Health and Beauty]',\n", " b'SUNBEAM Cool Mist HUMIDIFIER with PermaFilter # 1120 \\xe2\\x80\\x93 1 Ea',\n", " b'Andis Blade Set for T-Outliner Trimmer'], dtype=object),\n", " 'review_body': array([b\"These glasses are an excellent value. The fit is good and they are very comfortable. Because of my legal blindness, there aren't a lot of options to try to see better, but I believe these help with my other visual aids, and because they are reasonably priced I can have more than one pair available.\",\n", " b\"Always wanted to try straight razor shaving (as a DE safety razor user), and this was a cheap way for me to determine I was not into it.

Because the blades are disposable and always sharp, I could put a new one in and reasonably rely upon that fact that cuts were probably due to my technique and not the blade.

It's very hard to do straight razor shaving on yourself because the ANGLE is difficult to control without switching hands. Being very right-handed, I really couldn't do that. I bet I could shave someone else's face with it though.

An immediate upside? Using a DE safety razor (slant edged even) seems SUPER safe now! I'm increased my speed with the DE due to that confidence, and I'd been using it for years now.\",\n", " b'I usually either throw my toothbrush in a plastic bag with spare head so this product is very convenient for keeping all the parts apart, dry and undamaged, and i now keep it in my travel bag all the time ready to go.',\n", " ...,\n", " b\"I have had a Remington before but needed a new one when the batteries died and the cutters were all but gone. It was cheaper to buy a new one. The new one has a nice charge level but the trimmer didn't work when I got it.\",\n", " b\"I was surprised that it really didn't do much compared to the 1950s version that I'd inherited. Keeping a wet wash cloth next to my bed for when I start coughing in the middle of the night works better.\",\n", " b'The blades were an excellent fit for my T-line trimmers. Within five minutes I had my trimmers cleaned, the blades installed, and was putting them to use. I saw the blades in several locations for almost twice the price I paid, so this worked out to be an awesome deal.'],\n", " dtype=object),\n", " 'review_date': array([b'2015-01-04', b'2015-08-05', b'2012-11-17', ..., b'2008-02-08',\n", " b'2007-09-07', b'2012-07-26'], dtype=object),\n", " 'review_headline': array([b'These glasses are an excellent value. The fit is good and they are ...',\n", " b'A fantastic way to cheaply try straight razor shaving.',\n", " b'Great for travel', ..., b'Trimmer Not Working',\n", " b'Loud and ineffectual', b'Excellent product, awesomoe price'],\n", " dtype=object),\n", " 'review_id': array([b'R3VEUFVA9QJY55', b'R2DTQV5SMJ0CK7', b'R3OJ06NK99WLNJ', ...,\n", " b'R1ZQ0XZXOD9N18', b'R1FJ9OU429X00Y', b'RI28R1W94N1R6'],\n", " dtype=object),\n", " 'star_rating': array([4, 5, 4, ..., 3, 2, 5], dtype=int32),\n", " 'total_votes': array([0, 3, 0, ..., 0, 0, 0], dtype=int32),\n", " 'verified_purchase': array([0, 0, 0, ..., 1, 0, 0]),\n", " 'vine': array([1, 1, 1, ..., 1, 1, 1])}}" ] }, "metadata": { "tags": [] }, "execution_count": 6 } ] }, { "cell_type": "code", "metadata": { "id": "F1pGPYGcoLNz", "colab_type": "code", "colab": {} }, "source": [ "helpful_votes=dataset['data']['helpful_votes']\n", "review_headline=dataset['data']['review_headline']\n", "review_body=dataset['data']['review_body']\n", "rating=dataset['data']['star_rating']" ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "DmS7qQuCoLGF", "colab_type": "code", "colab": {} }, "source": [ "reviews_df=pd.DataFrame(np.hstack((helpful_votes[:,None],review_headline[:,None],review_body[:,None],rating[:,None])),columns=['votes','headline','reviews','rating'])" ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "m0DWbO1y1Vzc", "colab_type": "code", "colab": {} }, "source": [ "convert_dict = {'votes': int, \n", " 'headline': str,\n", " 'reviews': str,\n", " 'rating': int\n", " } " ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "HWiWrKmS1lwR", "colab_type": "code", "colab": {} }, "source": [ "reviews_df = reviews_df.astype(convert_dict) " ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "AsmO113-vaVY", "colab_type": "code", "outputId": "3a18c18a-b7e0-4749-ed81-f7af629f36c0", "colab": { "base_uri": "https://localhost:8080/", "height": 407 } }, "source": [ "reviews_df" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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votesheadlinereviewsrating
00b'These glasses are an excellent value. The fi...b\"These glasses are an excellent value. The f...4
13b'A fantastic way to cheaply try straight razo...b\"Always wanted to try straight razor shaving ...5
20b'Great for travel'b'I usually either throw my toothbrush in a pl...4
30b'Five Stars'b'Top quality.'5
41b'*Product sent not as shown'b'Today I received 1 Fl. Oz, Natures Balance ...3
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859762b'YES!'b\"This is the real deal. Don't bother with the...5
859771b'Bryton Picks'b'I like the Bryton Picks very much. Have orde...5
859780b'Trimmer Not Working'b\"I have had a Remington before but needed a n...3
859790b'Loud and ineffectual'b\"I was surprised that it really didn't do muc...2
859800b'Excellent product, awesomoe price'b'The blades were an excellent fit for my T-li...5
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\n", "
" ], "text/plain": [ " votes headline ... rating target\n", "0 0 b'These glasses are an excellent value. The fi... ... 4 1\n", "1 3 b'A fantastic way to cheaply try straight razo... ... 5 1\n", "2 0 b'Great for travel' ... 4 1\n", "3 0 b'Five Stars' ... 5 1\n", "4 1 b'*Product sent not as shown' ... 3 0\n", "... ... ... ... ... ...\n", "85976 2 b'YES!' ... 5 1\n", "85977 1 b'Bryton Picks' ... 5 1\n", "85978 0 b'Trimmer Not Working' ... 3 0\n", "85979 0 b'Loud and ineffectual' ... 2 0\n", "85980 0 b'Excellent product, awesomoe price' ... 5 1\n", "\n", "[85981 rows x 5 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 13 } ] }, { "cell_type": "code", "metadata": { "id": "SbU4KHtEyJdM", "colab_type": "code", "outputId": "2f574877-8eb4-4caa-fc72-47358acbcb27", "colab": { "base_uri": "https://localhost:8080/", "height": 35 } }, "source": [ "reviews_df.shape[0]" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "85981" ] }, "metadata": { "tags": [] }, "execution_count": 14 } ] }, { "cell_type": "code", "metadata": { "id": "f1p0u2X8yJaX", "colab_type": "code", "outputId": "e234b434-a329-4a8e-9400-1d08ce373a83", "colab": { "base_uri": "https://localhost:8080/", "height": 72 } }, "source": [ "reviews_df[\"target\"].value_counts()" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "1 62554\n", "0 23427\n", "Name: target, dtype: int64" ] }, "metadata": { "tags": [] }, "execution_count": 15 } ] }, { "cell_type": "code", "metadata": { "id": "Nkj87kcOyyhE", "colab_type": "code", "outputId": "43373564-02cd-4ff4-9aba-fc47259e8122", "colab": { "base_uri": "https://localhost:8080/", "height": 235 } }, "source": [ "reviews_df.info()" ], "execution_count": 0, "outputs": [ { "output_type": "stream", "text": [ "\n", "RangeIndex: 85981 entries, 0 to 85980\n", "Data columns (total 5 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 votes 85981 non-null int64 \n", " 1 headline 85981 non-null object\n", " 2 reviews 85981 non-null object\n", " 3 rating 85981 non-null int64 \n", " 4 target 85981 non-null int64 \n", "dtypes: int64(3), object(2)\n", "memory usage: 3.3+ MB\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "inj7K9BixwSl", "colab_type": "code", "colab": {} }, "source": [ "from sklearn.model_selection import train_test_split\n", "train, test = train_test_split(reviews_df, test_size=0.25)" ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "C_9D_SnZxZ2P", "colab_type": "code", "outputId": "42b8a6d5-b3d1-41b3-b92d-1570d0c5b78a", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 } }, "source": [ "from autoviml.Auto_NLP import Auto_NLP" ], "execution_count": 0, "outputs": [ { "output_type": "stream", "text": [ "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n", " import pandas.util.testing as tm\n" ], "name": "stderr" }, { "output_type": "stream", "text": [ "[nltk_data] Downloading collection 'popular'\n", "[nltk_data] | \n", "[nltk_data] | Downloading package cmudict to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/cmudict.zip.\n", "[nltk_data] | Downloading package gazetteers to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/gazetteers.zip.\n", "[nltk_data] | Downloading package genesis to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/genesis.zip.\n", "[nltk_data] | Downloading package gutenberg to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/gutenberg.zip.\n", "[nltk_data] | Downloading package inaugural to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/inaugural.zip.\n", "[nltk_data] | Downloading package movie_reviews to\n", "[nltk_data] | /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/movie_reviews.zip.\n", "[nltk_data] | Downloading package names to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/names.zip.\n", "[nltk_data] | Downloading package shakespeare to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/shakespeare.zip.\n", "[nltk_data] | Downloading package stopwords to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/stopwords.zip.\n", "[nltk_data] | Downloading package treebank to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/treebank.zip.\n", "[nltk_data] | Downloading package twitter_samples to\n", "[nltk_data] | /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/twitter_samples.zip.\n", "[nltk_data] | Downloading package omw to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/omw.zip.\n", "[nltk_data] | Downloading package wordnet to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/wordnet.zip.\n", "[nltk_data] | Downloading package wordnet_ic to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/wordnet_ic.zip.\n", "[nltk_data] | Downloading package words to /root/nltk_data...\n", "[nltk_data] | Unzipping corpora/words.zip.\n", "[nltk_data] | Downloading package maxent_ne_chunker to\n", "[nltk_data] | /root/nltk_data...\n", "[nltk_data] | Unzipping chunkers/maxent_ne_chunker.zip.\n", "[nltk_data] | Downloading package punkt to /root/nltk_data...\n", "[nltk_data] | Unzipping tokenizers/punkt.zip.\n", "[nltk_data] | Downloading package snowball_data to\n", "[nltk_data] | /root/nltk_data...\n", "[nltk_data] | Downloading package averaged_perceptron_tagger to\n", "[nltk_data] | /root/nltk_data...\n", "[nltk_data] | Unzipping taggers/averaged_perceptron_tagger.zip.\n", "[nltk_data] | \n", "[nltk_data] Done downloading collection popular\n", "Imported Auto_NLP version: 0.0.33.. Call using:\n", " train_nlp, test_nlp, nlp_pipeline, predictions = Auto_NLP(\n", " nlp_column, train, test, target, score_type='balanced-accuracy',\n", " modeltype='Classification',top_num_features=200, verbose=0,\n", " build_model=True)\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "DJDEh3pgxZtz", "colab_type": "code", "outputId": "74d67a74-de0a-41ab-c986-d34774c0e24f", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 } }, "source": [ "nlp_column = 'reviews'\n", "target = 'target'\n", "train_nlp, test_nlp, nlp_transformer, preds = Auto_NLP(\n", " nlp_column, train, test, target, score_type='balanced_accuracy',\n", " modeltype='Classification',top_num_features=50, verbose=2,\n", " build_model=True)" ], "execution_count": 0, "outputs": [ { "output_type": "stream", "text": [ "Auto NLP processing on NLP Column: reviews\n", "Shape of Train Data: 64485 rows\n", " Shape of Test Data: 21496 rows\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", 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AbCr1c1jzyi+kIND/9Vy913WVgly2ruMCAABAcyKYAQAAAADMa6VWZlcMvKPrz/5JkvTKB++QoWIGAAAAdUAwAwAAAACY10qtzCxj9ME//V62pL7l1+mdzqUKxqw/AwAAANQCwQwAAAAAYF4rVczYxmhxfkQ3LYpLkn79wTtkclTNAAAAoLYIZgAAAAAA85opFsXYxshyHd1x9QLZnqd3/2y5Tl0Yqe/gAAAA0HQIZgAAAAAA89rYihk5jha1xLTs9B8kSe8OUzEDAACA2iKYAQAAAADMa35YMePLchxJUqtXCGSGc369hgUAAIAmRTADAAAAAJjXShUzVmBkOa4kKe4XApmsRzADAACA2iKYAQAAAADMa6b4tdDKrHAb3GIKgcyITzADAACA2iKYAQAAAADMW0EQhK3MLGPCVmbxoBTMBPUaGgAAAJoUwQwAAAAAYN4aG7vYxshyC63MWoqvZA3BDAAAAGqLYAYAAAAAMG+NLYixAyPZhYqZ0WCmHqMCAABAMyOYAQAAAADMWyYYTWZs48tyi8GMVdiWlVWPYQEAAKCJEcwAAAAAAOatsZ3K7DFrzLQW74az3BYDAACgxvgECgAAAACYt/wxFTPWmGCmxSlUymQtbosBAABQW3wCBQAAAADMW6UlZKzAFJqWlSpmil/ztlPW7gwAAACYbQQzAAAAAIB5q9TKzC6GL2HFTMwJ98n6BDMAAACoHbfeAwAAAAAAYLaUqmFsU6idCYaH5Q8MyM3nZHuejOsqM/Ce4m6htZndnpDV3la38QIAAGD+I5gBAAAAAMxbpWIYqxjM5M68q/T//b3yg+cUXzqiETepc384pZjJSZISq/5CDsEMAAAAZhGtzAAAAAAA81ZYMRMUV5uxi7fBrqN4LitJylncGgMAAKB2+PQJAAAAAJi3wjVmTHkwY7muYsVgJsutMQAAAGqIT58AAAAAgHnLH7fGjFUKZhw3rJjJUjEDAACAGuLTJwAAAABg3irWyYRrzMi2Cj+7BDMAAACoDz59AgAAAADmrbCVWTB1KzPWmAEAAEAt8ekTAAAAADBvmbCVmS9ptJWZXEfx3Igk1pgBAABAbfHpEwAAAAAwb/nFipmwlZlFxQwAAADqi0+fAAAAAIB5a7RiphDMlCpmLGd0jZkRbo0BAABQQ3z6BAAAAADMW+EaM8VWZqNrzDhhMJOTVY+hAQAAoEkRzAAAAAAA5i2/WDETtjKziyGM4ygWrjFDMAMAAIDaIZgBAAAAAMxbxThGtl+omAlbmVmW4r4nScqyxgwAAABqiE+fAAAAAIB5q9TKbLRiZvQ2eDSYcWo9LAAAADQxghkAAAAAwLxVamVWWmPGGhPMtBSDmZzNrTEAAABqh0+fAAAAAIB5q1QxUwpmxlbMtBS35SxHQa0HBgAAgKZFMAMAAAAAmLdMWDEzSSuzoLjNspTj9hgAAAA1widPAAAAAMC85YcVM4UQxrKs8DXXluxwnRlujwEAAFAbfPIEAAAAAMxbpYoZa5KKGct1Fc9lJRHMAAAAoHb45AkAAAAAmLeKccxoxcy4YCZGMAMAAIAac+s9AAAAAAAAZkuplZkVGMm2le5aOvpaYkFYMTO0sFNpx1feaZGdN+E+rY6tNjIbAAAARIhgBgAAAAAwb5VamdnGlxxHf7iQCV9bZKR4bkSS9KdMTp7JKt42LNt3wn1WLGpVm00yAwAAgOjw6RIAAAAAMG+ZYsWMbUzZ+jKSFIxpZebRygwAAAA1widPAAAAAMC8NVoxM3kwU2pl5smq+dgAAADQnAhmAAAAAADzlj+2YsZxyl4zbmxMxQzBDAAAAGqDYGYO8U0QPu0FAAAAALi00j2UFRhZ4ytmYlTMAAAAoPYIZuYI30hP/NDX//ejfL2HAgAAAABzhil+tX1/QsVM4MYUz45IYo0ZAAAA1I5b7wGgMqkRaTAlDaYCBUEgizJ7AAAAALikUiszK5h8jZkYFTMAAACoMR4JmiPy/uhNgufXcSAAAAAAMIeUWpnZZpJgxhnTyoyH3wAAAFAjBDNzRM4b/Z5gBgAAAAAqY4oVM7bxJXtcK7OyNWa4PQYAAEBt8MlzjsiPCWbyBDMAAAAAUJHRiplAcsa3MouNtjKjYgYAAAA1QjAzR4xtZUYwAwAAAACV8cdUzFjjWpkZ11UszxozAAAAqC2CmTmivJVZUL+BAAAAAMAcUqqYsQIzsZWZO7aVmSXutAAAAFALBDNzxNgqGSpmAAAAAKAypvjVNkayJ7Yyi+dGCj9YlnyqZgAAAFADBDNzRL6sYqZ+4wAAAACAuaTUcMAyZpI1Zlw5nifLL9xk0c4MAAAAtUAwM0fkxq4x402zIwAAAAAgVGplZht/Qisz2bZk26PtzCyCGQAAAMw+t9oD+vr6tGfPHp04cUKtra2644479MADD8h1pz9VEAQ6ePCgDh8+rKGhIfX09GjLli1auXJl2X6Dg4Pas2ePjh07JsdxdMstt+jTn/602tvbw32MMTp06JB++tOfamBgQIsXL9Ytt9yij33sY2ptba32Lc0JY8OYPGvMAAAAAEBFTPH2qdDKzJnwemmdmWxbuzyeXQQAAEANVPWpM5VKaceOHfI8T1u3btXmzZv1wgsv6Dvf+c4ljz148KD279+ve++9V48++qg6Ojq0c+dOnTlzJtzH8zzt3LlTb7/9tr7whS/ob//2b/Wb3/xGTzzxRNm5vv/97+t73/ue7rzzTj366KO69957deTIEf3bv/1bNW9nTsmNaV9GKzMAAAAAqMxoxYyR5Uy8Bfbb2hUrVszkqZgBAABADVRVMXPkyBFlMhk98sgjSiaTkgrVK7t371Zvb686OzsnPS6Xy+nAgQPatGmTNm3aJElatWqVHnroIR06dEgPPvigJOno0aM6ffq0vvGNb+jqq6+WJCUSCe3cuVNvvPGGrrvuOknSL37xC33oQx/SRz7yEUnSjTfeqIsXL+rgwYPyfV+OM/EpqLku741pZUYwAwAAAAAV8csqZiYGM/mOKxTPjUhijRkAAADURlUVM6+99ppWr14dhjKStGHDBgVBoGPHjk153IkTJzQ8PKzbbrst3Oa6rtavX69XX3217PzLly8PQxlJWrNmjZLJpF555ZVwm+/7Za3NJKm9vV3GmGrezpwyNowhmAEAAACAypQqZqxg8lZm+SuuCCtmWGMGAAAAtVBVMNPX16fu7u6ybYlEQosXL1ZfX9+0x0kqC1wkqbu7WwMDA8rlclOe37IsdXd3q7+/P9x299136+c//7mOHz+ukZERvfHGG/rRj36kjRs3zstqGUnKjVljhlZmAAAAAFCZ0uN7tvEnr5jpvELxUjDDGjMAAACogapamaXTaSUSiQnbk8mkUqnUtMfFYjHF4/EJxwVBoFQqpc7OTqXT6QmVMFIh/Bl7/t7eXuXzef3zP/+zguLTT3/5l3+pv/7rv67m7UzKdauaksiUfq9t2ZPGZXl/9Mkt31hhAOXYjtxYrCZjnGtKc1qvv+l8w3xGi/mMHnMaLeYzWsxn9JjTmWPu0CxKrcwsY6RJ1pjJd3Yp/qfC2qf+PO7CAAAAgMYxJ+/Gnn/+ef3oRz/Sli1b1NPTo9OnT2vfvn3as2dPuF7N5ero6IholNW7ePG9CeFVieePlsxYblzJBYV2cq0LFmjBoiU1Gd9cVc+/6XzEfEaL+Ywecxot5jNazGf0mFMAl1JqZVZYY2ZihwXT2ionKAQyJpur6dgAAADQnKoKZhKJhDKZzITtqVSqbN2ZyY7L5/PK5XJlwUMqlZJlWeGxU50/nU7riiuukCRdvHhRzzzzjD75yU/qr/7qryRJH/jAB9TW1qYnn3xS99xzz4SWadU4d+6cPM+79I4RKz2xmMvlZIKJT2llPUcqLkSZzmSVuli4ufB0USO5OZmvzTrXddXR0VG3v+l8w3xGi/mMHnMaLeYzWsxn9JjTmSvNITDfmWLFjG2MrEkqZiTJiRXuqXz+fwIAAIAaqOpf9Lu7uyesJZPJZHT+/PkJa8OMP06S+vv71dPTE27v7+9XV1dXGNZ0d3frj3/8Y9mxQRCov79fq1evliSdOXNG+Xy+7DySdO2114avzySY8TxP+Xz+so+fKRMYmXHl80Egef7onyqXD+T7hYVmfOMrqON454J6/03nG+YzWsxn9JjTaDGf0WI+o8ecAriU8oqZyYMZu6VwT+r7tDIDAADA7KtqZcO1a9fq9ddfVzqdDre99NJLsixLa9asmfK4lStXqq2tTUePHg23eZ6nl19+WTfddFPZ+d966y29/fbb4bbXX39dFy9e1Lp16yRJXV1dkqT//d//Lfsdb775piRpyZL519Yr75f/7JWaJAMAAAAApuWHFTP+pK3MJMlubSvsW6tBAQAAoKlVVTGzceNGPf/889q1a5d6e3s1ODiovXv3auPGjers7Az327Fjh86ePasnn3xSkhSPx9Xb26tnn31WCxcu1PLly3X48GGlUindd9994XG33nqrDhw4oK997WvavHmzstmsnnnmGa1bt07XXXedJGnx4sX64Ac/qH379sn3fV177bU6ffq09u/fr9WrV2vZsmVRzEtDyY2rph8f1AAAAAAAJleqmLECI03RykyJdklS3nYknxsuAAAAzK6qgplkMqnt27fr6aef1q5du9TW1qa7775bmzdvLtvPmIntuO6//34FQaBDhw5paGhIPT092rZtm5YuXTo6GNfVtm3btGfPHn3zm9+U4zhav369tmzZUnauv//7v9dzzz2nH//4xxocHFRHR4c+9KEP6eMf/3i1739OGB/EEMwAAAAAQGVKd6bTtzJrlSTlYy1yB96VWbSoRqMDAABAM6p61fhly5Zp+/bt0+7z2GOPTdhmWZZ6e3vV29s77bGdnZ16+OGHp92nvb1dn/rUp/SpT33qkuOdD3KeVfazRzADAAAAAJcUBEHYysyaJphxrcJOuXiL3DN/VG7F9bUaIgAAAJpQVWvMoD7y41uZeZPvBwAAAAAYNXZ1TtsYWVOsMeMW253l4y1yzrxTg5EBAACgmRHMzAETW5kFk+8IAAAAAAiNvXWyjT/lGjOxYsOzwLalgYFaDA0AAABNrOpWZqg9WpkBAAAAc0tfX5/27NmjEydOqLW1VXfccYceeOABue70t2BBEOjgwYM6fPhwuDbnli1btHLlynCfoaEhPffcczp58qROnTolx3H0zDPPTDjXt771Lf3Xf/3XhO3/9E//pLVr1878Tc4BJhhNZuxgmjVmJFlBoMCyZIYuSNO0PQMAAABmimBmDihVzMScwvfjK2gAAAAANI5UKqUdO3boqquu0tatWzU4OKjvfve7ymaz+sxnPjPtsQcPHtT+/fv1iU98Qtdcc40OHz6snTt36qtf/aqWLl0qSRocHNSLL76oFStWaMWKFTp16tSU51u6dKk+//nPl21btmzZjN/jXGHKKmaMNEUrM0uSq0B5WfJkyx58T6ZrSW0GCQAAgKZDMDMHlNaUSbRI5zMEMwAAAEAjO3LkiDKZjB555BElk0lJkjFGu3fvVm9vrzo7Oyc9LpfL6cCBA9q0aZM2bdokSVq1apUeeughHTp0SA8++KAkafny5XrqqackSfv37582mInH42XVNs3GH1MxY12iCsYNAuUtKdfSora3+5UjmAEAAMAsoTZ7Dsj5hVZmidbCzx5rzAAAAAAN67XXXtPq1avDUEaSNmzYoCAIdOzYsSmPO3HihIaHh3XbbbeF21zX1fr16/Xqq6+G22xabFXMFL9axsiSplxjRpLc4t65eIvct/tnfWwAAABoXlTMzAFhxUyrJSmgYgYAAABoYH19fbrrrrvKtiUSCS1evFh9fX3THidJV199ddn27u5uDQwMKJfLKR6PVzWWd955R1u2bFEul9Py5cv10Y9+VOvXr6/qHHNZqZWZHRRCF2uKVmZSoZWZJOXjLXLenvrvBAAAAMwUwcwcUApiEi2Frx7BDAAAANCw0um0EonEhO3JZFKpVGra42Kx2ITwJZlMKggCpVKpKdugTebaa6/VihUr9L73vU/pdFpHjhzR448/rn/4h3/QrbfeWvkbGsd1638bWRrDpcZiF7sP2KYYzLiuLGvyqhm32P6XltkAACAASURBVPYsF2+V+8cTcmxbsiw5jqNYrP7vGdWr9DoBuFZQKa4VVIprZf6Yrb8hV8YckPOKrcyKwQwVMwAAAAAu5Z577in7+eabb9b27du1b9++GQUzHR0dMx1aZC41Fi81IuntMJiJt7WotbVl0n1bgkJgk4u3yk6ntcD40uIOJZOtWrI4OekxmBsa6ZpFY+NaQaW4VlAprhVMhWBmDggrZoqtzDxfCoJAlmXVdVwAAAAAJkokEspkMhO2p1KpsnVnJjsun89PaFmWSqVkWda0x1bCtm3dcsst2rt372W1RSs5d+6cPM+b0VhmynVddXR0XHIsA5mcJMkqtjLLe0YjI9lJ97VcV3Jiyi5aLEkaPnlC3vs/oJSd19n8cMTvALVQ6XUCcK2gUlwrqBTXyvxR+ltGft7Iz4jIhWvMjHmwy/MlqukBAACAxtPd3T1hLZlMJqPz58+ru7t72uMkqb+/Xz09PeH2/v5+dXV1XXaQEjXP85TP5+s9DEmXHkuueDNlm8LTbkZSUAxpxnOL20vBjH36T/Kv/wv5vq98Pohw1Ki1Rrpm0di4VlAprhVUimsFU5m8uS4aSm7cGjMS7cwAAACARrV27Vq9/vrrSqfT4baXXnpJlmVpzZo1Ux63cuVKtbW16ejRo+E2z/P08ssv66abbprxuIwxeumll/S+972vYUKe2eYX142xiq3M5DhT7huuMdNeqEyyz5+b3cEBAACgaVFzMQfki2vMtMUtWZYUBAQzAAAAQKPauHGjnn/+ee3atUu9vb0aHBzU3r17tXHjRnV2dob77dixQ2fPntWTTz4pSYrH4+rt7dWzzz6rhQsXavny5Tp8+LBSqZTuu+++st9RCm9Onz4tY0z484oVK7RkyRKdPXtW3/rWt3T77bfrqquuUjqd1o9//GO9+eab2rp1a41mov5KtTG2X/jOsu3RjeO4xRdy8cITcfYk7egAAACAKBDMzAGlipl4TIo5Us4rtDIDAAAA0HiSyaS2b9+up59+Wrt27VJbW5vuvvtubd68uWw/Y4yMKU8J7r//fgVBoEOHDmloaEg9PT3atm2bli5dWrbf17/+9Ul//tznPqc777xTbW1tam9v1/e//31duHBBrutqxYoV+tKXvqS1a9fOwrtuTKbYgazUykzTBTPFipm8G5MkWZn05DsCAAAAM0QwMweU1phpcccGM4Ekq67jAgAAADC5ZcuWafv27dPu89hjj03YZlmWent71dvbO+2x+/fvn/b1ZDKpf/zHf7zkOOc7M1krM2+KNWZUDGacwm2ynSaYAQAAwOxgjZkG5xvJBIUApiUmucWWyDmvjoMCAAAAgDnADytmimGMPfUtsBsU9snbhZsuKmYAAAAwWwhmGtzYACZerJiRaGUGAAAAAJdSqpixgwqCmVLFjFXYxx4elnxuvAAAABA9gpkGly/eB7h2IMe2FHMK1TMEMwAAAAAwvUnXmJlCaY0ZT5aMVbjvsoYzszo+AAAANCeCmQaX9wo3BLHiakBu8Wu+VJMPAAAAAJiUP3aNGcuSVUHFTCApv2ChJNaZAQAAwOwgmGlwueKDXaUWZqU1ZvJUzAAAAADAtIoNzAprzBSrYKbiKJCKQU524WJJrDMDAACA2UEw0+DyxTVm4m7hBoE1ZgAAAACgMqOtzMy01TKSZGm0aia3cFHhOCpmAAAAMAsIZhpcflzFTGmNGSpmAAAAAGB6YSuzwEy7vkxJKZjJJgutzKiYAQAAwGwgmGlwufFrzJRamXl1GhAAAAAAzBGjFTN+ZcFMUGh+lksuKBxHxQwAAABmAcFMg8uVWpk541uZBXUaEQAAAADMDaWKmUpamUljWpm1JSRRMQMAAIDZQTDT4MJWZsWKmVIwQyszAAAAAJje2DVmZFuX3N8NSsFMe+G4dGbWxgYAAIDmRTDT4PLFVmbxYiDjFteY8QhmAAAAAGBaprTGjDGybOeS+8dUaGWWbW0rHJdJzd7gAAAA0LQIZhpcjooZAAAAALgspvi10oqZluIaM8MthWCGihkAAADMBoKZBpcvrjETK64x4xYDmjxrzAAAAADAtPywlZkvWZe+/Q2DGTcuiTVmAAAAMDsIZhpc3i+2MhtXMUMrMwAAAACYXtjKLDCy7MqDmRG7cANmZ9IKAh6KAwAAQLQIZhpcLqyYKf9KKzMAAAAAmJ4JK2aMVFEwU7jRGi7eKlueJ+VyszY+AAAANCeCmQaXD9eYKbYycwoVNKUWZwAAAACAyfnFapeK15gprkqTNYFMsY+0SaVmb4AAAABoSgQzDS7vFVuZjauYoZUZAAAAAExvbMWMZTuX3L/UysxIGum4QpIUEMwAAAAgYgQzDW60Yqb4NWxlRp9jAAAAAJjO2DVmKqmYsSXFirulO7okEcwAAAAgegQzDW50jZlSK7PCz6wxAwAAAADTM8Wvtu/LqmCNGUlqLQYzmcUdkqQgnZ6FkQEAAKCZufUeAKYWBKMBTLxUMeMW7hJoZQYAAACgmZ1LD+u9rCffN1PuM+yPrjHjtbXLSSSkC5lpz9tqSxeNlFmwWJJkUgQzAAAAiBbBTAMrhC+FIKbUyoyKGQAAAACQ0nlff7gwIt+f+uboQq7wmhUYpTyjpHXpqpmW4i6ZxAJJtDIDAABA9Ghl1sBKbcwsBXKLf6nSGjMea8wAAAAAwLSCoFQx4yuospXZcFuicA5amQEAACBiBDMNrPhwl2KuZBVvDmJUzAAAAABARcI1ZkygwHYqOqbFLtx8ZVraCuegYgYAAAARI5hpYL4p3BC4Y/5KtDIDAAAAgMoUC2ZkG1+qsmJmJNZSOEeaYAYAAADRIphpYKWbiFK1jCTFnMIPHsEMAAAAAEyr1ADaCkzFrcxKa8wMO4WFPoMUrcwAAAAQLYKZBmZKT3eNDWYK9wbyfMkErDMDAAAAAFMx4RozpvKKmeJuI5atQFJAKzMAAABEjGCmgU1WMeOOaYtM1QwAAAAATK30KJtt/MorZqzSsZZGWtsVDA8r8Ln5AgAAQHQIZhrYpBUzBDMAAAAAUJHwYbcqKmZsy1K8eBOWSSyQgkAmnZmtIQIAAKAJEcw0sNGKmdGWZY5thUFNnmAGAAAAAKZkil9tU/kaM5LUWlzbM91xhSTJT9PODAAAANEhmGlgk1XMSKPtzAhmAAAAAGBqwWWsMSNJrU5h38yiTkmSf5FgBgAAANEhmGlgk60xI422M/P8QAAAAACAyY2uMWMU2M60+45VqpjJLFosSTKpdNRDAwAAQBMjmGlgl6yY8Wo7HgAAAACYS0r3VFZQZSuzsWvMSPJTVMwAAAAgOgQzDWzqipnCBlqZAQAAAMDURitm/KpambUUW5kNtyUlEcwAAAAgWgQzDWyqipnRVma1HQ8AAAAAzCVmzBozVVXMlFqZtbYVzkMrMwAAAESIYKaBBUHhZmB8xYzrFr7mWWMGAAAAAKZUumOyjKmqYqa1VDETa5FExQwAAACiRTDTwKiYAQAAAIDLV2oPfbkVMyNOTMayZAhmAAAAECGCmQY21RozbjGYYY0ZAAAAAJiaKX61q6yYiZeejrMsjbQlqJgBAABApAhmGtjUFTOFDVTMAAAAAMDUgnCNGb+qihnbstRSvBHLtCfls8YMAAAAIuRWe0BfX5/27NmjEydOqLW1VXfccYceeOABue70pwqCQAcPHtThw4c1NDSknp4ebdmyRStXrizbb3BwUHv27NGxY8fkOI5uueUWffrTn1Z7e3vZfrlcTgcOHNDPf/5znTt3TosWLdJtt92mT33qU9W+pYZ1yYoZr7bjAQAAAIC5pFQxY1XTyswYmVRKrVagrKThxAKZvgF5Z8/KGndzZrcnZLW3RTpmAAAAzH9VBTOpVEo7duzQVVddpa1bt2pwcFDf/e53lc1m9ZnPfGbaYw8ePKj9+/frE5/4hK655hodPnxYO3fu1Fe/+lUtXbpUkuR5nnbu3ClJ+sIXvqBcLqdnnnlGTzzxhB599NHwXMYY7dq1S2fOnNHHPvYxXXnllTp79qz6+/urff8NzUwRzIyuMRMIAAAAADC5cI2ZwEi2U9lB+bxy584pFlskOS3KtCcVeJ7Sx/9H1rgHEhOr/kIOwQwAAACqVFUwc+TIEWUyGT3yyCNKJpOSCiHJ7t271dvbq87OzkmPK1W3bNq0SZs2bZIkrVq1Sg899JAOHTqkBx98UJJ09OhRnT59Wt/4xjd09dVXS5ISiYR27typN954Q9ddd50k6Wc/+5lOnjypb3zjG+ro6Li8dz4HhDcRVnkAE2ONGQAAAACYVhAEKt1J2dVUzBS1BIV6m0xyoSTJZLNyLtEpAgAAAKhEVZ9MX3vtNa1evToMZSRpw4YNCoJAx44dm/K4EydOaHh4WLfddlu4zXVdrV+/Xq+++mrZ+ZcvXx6GMpK0Zs0aJZNJvfLKK+G2//zP/9Stt946r0MZaeqKGbe4xgzBDAAAAABcmmWMVHUwU7jhyixYLEkKRrKRjwsAAADNqarHffr6+nTXXXeVbUskElq8eLH6+vqmPU5SWeAiSd3d3RoYGFAul1M8HldfX5+6u7vL9rEsS93d3WGbMs/z9Oabb2rdunX6l3/5F7388suyLEtr167V3/zN32jx4sXVvKWGNloxU759tJVZbccDAAAAAHOFGfO9bfzqK2aKZxgeUzEDAAAARKGqYCadTiuRSEzYnkwmlUqlpj0uFospHo9POC4IAqVSKXV2diqdTqu9vX3C8YlEIjx/KpWS7/s6ePCgVq1apYcfflhDQ0Pau3evHn/8cX3lK1+p5i1N4NapNL30e23LHlPHVEhkbNuSbduybFuO4ygeKyQynrHk2I7cWKwOI258pTmt1990vmE+o8V8Ro85jRbzGS3mM3rM6cwxd5jvgjEdoQtrzFxeK7Ph9sI9cJAdiWxsAAAAaG5z7m7MmMKH47a2Nj388MOKFUOJRYsW6Stf+YqOHz+uG2+88bLPX8/2aBcvvlcWXtmOkWQUcxy1tsTV2tKi5IJ2JdrTklKS7Sq5YIEWLFpStzHPBfO95V2tMZ/RYj6jx5xGi/mMFvMZPeYUwFTKK2aqX2OmtbTGTGshmDHZXFRDAwAAQJOrKphJJBLKZDITtqdSqbJ1ZyY7Lp/Phy3Lxh5nWVZ47FTnT6fTuuKKK8J9LMvSypUrw1BGkm644QbZtq0//elPMwpmzp07J8/zLvv4y1V6YjGXy8kUbwDyeUuSIxP4GsnmNZK1lbroy/h5SdLwSF6pixc1kptz+VpNuK6rjo6Ouv1N5xvmM1rMZ/SY02gxn9FiPqPHnM5caQ6B+SoYUzJjXUYwEy+uMTMcb5GxbQUjVMwAAAAgGlX9i353d/eEtWQymYzOnz8/YW2Y8cdJUn9/v3p6esLt/f396urqCsOa7u5u/fGPfyw7NggC9ff3a/Xq1ZKklpYWLVkydYVIPp+v5i1N4HnejM8xEyYwYVWQbwqLyVgKZIxRYIx835djFW4wcvlAvvEV1HG8c0G9/6bzDfMZLeYzesxptJjPaDGf0WNOAUylFMtYxhSaRFcbzCiQFQQKLEvDbQm1scYMAAAAIlLVJ9O1a9fq9ddfVzqdDre99NJLsixLa9asmfK4lStXqq2tTUePHg23eZ6nl19+WTfddFPZ+d966y29/fbb4bbXX39dFy9e1Lp168Jt69at0+9//3vlcqOl5MePH5cxRn/+539ezVtqaKZ4J2FZ5dtjhbxGeT8QAAAAAGCi0v2UbQqVL4HtVHW8JSlebIiWaV+ggFZmAAAAiEhVwczGjRvV1tamXbt26Te/+Y1++tOfau/evdq4caM6OzvD/Xbs2KHPf/7z4c/xeFy9vb06dOiQfvjDH+r48eP65je/qVQqpfvuuy/c79Zbb9WyZcv0ta99Tb/+9a/14osv6l//9V+1bt06XXfddeF+H/7wh5XP57Vr1y698sor+tnPfqZvfetbev/7368bbrhhJvPRUEqxiz1FMOP5NR0OAAAAAMwZYytmJFVdMSNJLaV1ZhJJmSytzAAAABCNqlqZJZNJbd++XU8//bR27dqltrY23X333dq8eXPZfsaMtuMquf/++xUEgQ4dOqShoSH19PRo27ZtWrp06ehgXFfbtm3Tnj179M1vflOO42j9+vXasmVL2bm6urr05S9/Wf/xH/+hr33ta2ppadEHP/hBffrTn5Y1vrxkDiveA0yomHHDipnajgcAAAAA5gpTXGPGLt6bVrvGjDQazAy3L1Aw+E50gwMAAEBTq3rV+GXLlmn79u3T7vPYY49N2GZZlnp7e9Xb2zvtsZ2dnXr44YcvOY6enp5Jf898Uoq2JlTMuIUNVMwAAAAAwOTCDgTBTCpmCjddVMwAAAAgStV/MkXNBKU1ZsZtj1ExAwAAAADTCsI1ZowCy5rYiqACo63MCmvM+GPWWwUAAAAuF8FMAwtbIVtB2fbRVmaBAAAAAAATlToQWMaXHOeyztFSPMvI4sKaqvn+t6MYGgAAAJocwUwDCxerHPdXKlXM0MoMAAAAACYXjFljJrAvM5gpVcwkF0mScgQzAAAAiADBTAMzpdL7cdvDVmZeTYcDAAAAAHNGuGanMZJzebe+4RozrW2SpPw77yjweUIOAAAAM0Mw08DCNWbGtUJ2ncIG1pgBAAAAgMmF91MRVMyMODGZRELyfeXfPRvVEAEAANCkCGYamBkXzPhGSg37yhUTGd9IFzOeBi7kNHAhp0yWpAYAAAAApNHW0IWKmcsLZmIKZBfP5F3TI4l1ZgAAADBzBDMNrPSEl10MZvK+r/73Mjp7YTjc5/RARv/z1nn9z1vnlRkhmAEAAAAASTKlNWYCI9mXd+trSWovBjPZ7uWSpNzb/ZGMDwAAAM2LYKaBmaCQyNgTWpmNfp/3jAAAAAAA5UYrZnwFl1kxI0kJqxjMLLlSsiyZoYvyU6kIRggAAIBmRTDTwKZaY8a2JNcpvJjLBwIAAAAAlBu7xszlVsxIo8FMOtYqd0mXJNqZAQAAYGYIZhrY+FZmY7W4ha9ZghkAAAAAmKDUW8A2ZkYVM0mrcKYLtqv41VdLknL9tDMDAADA5SOYaWBmiooZSYoVg5lcnlZmAAAAADBeUFpjxhjJvvxgZnExmBm044pd/WeSpPyZdxV43swHCQAAgKZEMNPApgtm4sVWZlmPihkAAAAAGK90p2QFRoFz+be+HcVg5j07JmfRItntbZLvK//uuxGMEgAAAM2IYKaBTdfKLE7FDAAAAABMqfSgm238SCpmLtoxeZatWLGdGevMAAAA4HIRzDSw0YqZiVUxcdaYAQAAAIAple6UZrrGTJsltRlfkjRoxxT/s0I7s1x/f9guDQAAAKgGwUwDm75ipvBijlZmAAAAADCBKVtjZma3vp0mJ6m4zsxVSyXblkml5b03OONxAgAAoPkQzDSwYLo1ZmhlBgAAAABTCteYMX4EwUxeUqFixorF5HZ1SZKyb/1xRucFAABAcyKYaWBmmoqZGK3MAAAAAGBKYQcCE8yolZlUXjEjSc6ihZIk79y5GZ0XAAAAzYlgpoFN28rMKbUyo2IGAAAAAMYr3SnZxpdmHMwUKmbeKwUziYQkyTt3fkbnBQAAQHMimGlgpoJWZlTMAAAAAMBEQfFJNyswCmbYyuyKYsXMeTsmI8lOJiVRMQMAAIDL49Z7AJhaEBQSmenXmCGYAQAAABpNX1+f9uzZoxMnTqi1tVV33HGHHnjgAbnu9LdgQRDo4MGDOnz4sIaGhtTT06MtW7Zo5cqV4T5DQ0N67rnndPLkSZ06dUqO4+iZZ56Z9Hy/+tWvtG/fPvX396urq0sf+chHdNddd0X6XhtV6U7JNmbGFTMLAk9uYORZti5YMS0oBTODBDMAAACoHhUzDWy6NWbibuHFLK3MAAAAgIaSSqW0Y8cOeZ6nrVu3avPmzXrhhRf0ne9855LHHjx4UPv379e9996rRx99VB0dHdq5c6fOnDkT7jM4OKgXX3xRCxcu1IoVK6Y81+9+9zs9/vjjuv766/WlL31JGzZs0Le//W0dPXo0kvfZ6ML7KWMU2DMLZmxJHcV2ZoN2THay0MrMpNMy2eyMzg0AAIDmQ8VMAwsqaGVGxQwAAADQWI4cOaJMJqNHHnlEyWJlhTFGu3fvVm9vrzo7Oyc9LpfL6cCBA9q0aZM2bdokSVq1apUeeughHTp0SA8++KAkafny5XrqqackSfv379epU6cmPd9zzz2n66+/Xp/97GclSTfeeKPOnDmjffv26dZbb43yLTeksoqZGbYyk6ROk9NZp0WDdlwr4nFZ8biCXE7ewHuKd1894/MDAACgeVAx08Cmr5gpfCWYAQAAABrLa6+9ptWrV4ehjCRt2LBBQRDo2LFjUx534sQJDQ8P67bbbgu3ua6r9evX69VXXw232RWEDPl8XsePH58QwNx+++3q6+vTu+++W81bmpNMaY0Z48+4lZkkdRYrZt5zYpIUVs3kB96b8bkBAADQXAhmGtj0FTPFVmZ5Ey5qCQAAAKD++vr61N3dXbYtkUho8eLF6uvrm/Y4Sbr66vLqi+7ubg0MDCiXy1U8hjNnzsj3/QnjKP3c399f8bnmqrEVM0FEFTOSNGjHJUlOorjOzMDAjM8NAACA5kIrswZWScWMCaQI1rIEAAAAEJF0Oq1EIjFhezKZVCqVmva4WCymeDw+4bggCJRKpaZsgzZe6fe0t7eXbS+Na7pxXIrr1v820nVdZSXZznSBS+FGyjZGlhuXZdmyLEuWdYmQZtw+tm3LcRwtkS+puMaM48hduEA5SebcOcVisZm9IcyK0rXaCNcsGhvXCirFtYJKca3MH7P1N+TKaGCjFTMTK2JiY4KYvG/kkMwAAAAAqIGOjo56D0GSlD6fUqJ9YgBW4pzPSsrJCoyceItaW1vkxly1trZMe14rFpMzZp+W1rgWLEiqNZAsEyhrObKTC9TedYUykqyhIS1ZsiSid4XZ0CjXLBof1woqxbWCSnGtYCoEMw1suooZy5JiTqC8bymXN2qNE8wAAAAAjSCRSCiTyUzYnkqlytadmey4fD6vXC5XVjWTSqVkWda0x45X2nf8ONLpdNnrl+PcuXPyPO+yj4+C67qSFVM6k5bxzaT75PKFNWFs48sLjEZGsvLynkZGstOeO9aWV37MPtkRRxcvFiqMFrUu0nk7prcyeS11C1Uy6b5+nT17Noq3hYi5rquOjo6GuGbR2LhWUCmuFVSKa2X+KP0tIz9v5GdEZKZbY0YqtDPL+4WKGQAAAACNobu7e8JaMplMRufPn5+w5sv446TC+i89PT3h9v7+fnV1dU1ocTadpUuXynEc9ff3a+3ateH2qdaxqYbnecoXQ4+6isVkfCPf9yd92S/eUNkmkLFtBUFhfc4guMT907h9jBn9HR0mp/N2TANydFV7myQpf7aw/o811Y0b6q5hrlk0PK4VVIprBZXiWsFUZr4CImbNdBUzkhR3CzvkvYmtzgAAAADUx9q1a/X666+H1SmS9NJLL8myLK1Zs2bK41auXKm2tjYdPXo03OZ5nl5++WXddNNNVY0hFovpxhtvLDuXJL344ovq7u7WlVdeWdX55qLSg2628SU7mg4DnabwDyvv2THZ7e2SZSnI5+UPXYzk/AAAAGgOVMw0sEoqZiQp71ExAwAAADSKjRs36vnnn9euXbvU29urwcFB7d27Vxs3blRnZ2e4344dO3T27Fk9+eSTkqR4PK7e3l49++yzWrhwoZYvX67Dhw8rlUrpvvvuK/sdpcDl9OnTMsaEP69YsSJc7+SjH/2oHnvsMe3evVsbNmzQb3/7W/3yl7/UF7/4xVpMQ92VHl+zjFEQ0aKtnSYnSRq047IcR87ChfIvXJA3MCB30cJIfgcAAADmv/+fvTsNjuM+733/+3fPDGYDSIDgJlBcJIoybZGhZJlabMeyEsWOLV0dXDs+ZnJLTE7sSm5ckaoiOWVbxVOKKsy514ria6v85lybOo5UuY6UE5mhcyxGjuzEi2g71kLJskXLEldwA7HODGbp7v990TMDgARAQBxgGsD3U4US2Oju+U8PXqD16+d5CGYiylrJKkxkCGYAAACA+SObzWrXrl169NFH9dBDDymVSunWW2/Vjh07xu0XBIGCYPzf8nfeeaestdq3b5+Ghoa0fv163X///Vq5cuW4/f7mb/5mwn//yZ/8iW655RZJ0tve9jbdd999+vrXv65nn31WnZ2d+qM/+iPddNNNDX7H0RTUWpnZQDYeb8g5axUzfU54vlhHexjMnDsnXXlFQ14DAAAACx/BTETZMd3JLt7KjGAGAAAAiJI1a9Zo165dU+7zwAMPXLDNGKPu7m51d3dPeewTTzwxrXVcf/31uv7666e170JTu6VyAr9hwcwyP6yYGXbiKsso1r5UpTelSu+5hpwfAAAAiwMzZiJq7NSYyYKZeLVNMjNmAAAAAGC82sxOEwRSPNGQc6YUKBX4kqR+J65Ye7skyevtbcj5AQAAsDgQzERUMCZruWgrM5+KGQAAAAAYa7RipnGtzKTxc2ZGgxkqZgAAADB9BDMRNbbVNK3MAAAAAGBmbG3GTMODmdE5M7GOMJihlRkAAABmgmAmosY2J5skl6lXzJQJZgAAAABgnNmqmFlWrZg55yQUa18qSfIHBmQrlYa9BgAAABY2gpmImlErM2bMAAAAAMA4QbVixgT+LFXMJORkMjKJhGStvP7+hr0GAAAAFjaCmYiytUGVxk4RzNDKDAAAAAAmYqtPuzk2kI0nGnbe2oyZficuKynWuUwS7cwAAAAwfQQzEVUPZqbYZ7RihmAGAAAAAMaq31MFVnLdhp23zXqK2UCBMer3pPiyMJjxzvY27DUAAACwsBHMRFStlZkzRTITr95bEMwAAAAAwHhBdcqM4zqT94d+C4yk9mo7s17PKtbZKUnyzlExAwAAdk+6RQAAIABJREFUgOmJNXsBmNhoK7PJ92mptTLzmTEDAAAAAGNZayUZGdfVJd0xZbLKn7dpScXR2UA65rvq6OiQJBXO9MpUAiVdRykegQQAAMAUCGYialoVM2NamVlLOAMAAAAANUGYy8g4l5aSlI3RscHC+HO7kuJxHS1UtCrZqjZJI2fO6tRgUVcuSSp1ia8JAACAhY2/FiPK2jCRmapipjZjxlrJDwhmAAAAAKCmfofkNv55xLT1JUl5Xwraw4oZp7+/4a8DAACAhYlgJqJmMmNGkioewQwAAAAA1NTukEys8be9mVowE0h+LZgpjsiMFKY6DAAAAJBEMBNZ05kxY4zUEg93qHjBHKwKAAAAAOaHQOG9kjOLFTNlK5VjcQXZbPhafX0Nfy0AAAAsPAQzETWdihlJSsQIZgAAAABgLGutbO0pN9edeue3ICarRK1qxgvqVTNuP8EMAAAALo5gJqKmUzEjSS3x8CMkmAEAAACA0NhGzybe+IoZabSdWa7iK2hfJklyCGYAAAAwDQQzETXtiplaKzOfGTMAAAAAIJ0XzMxCxYwkpYOxFTPtkqiYAQAAwPQQzETUaMXM1IFLojrIskzFDAAAAABIGr2fkiQTj8/Ka6StJ0nKeYGCjmors9OnZ+W1AAAAsLAQzETUdCtmWuLMmAEAAACAscbeHZnY7AQzmTEzZiobrpQ1RvGjh+WfOjUrrwcAAICFg2AmoqY7YyZBMAMAAAAA49ixJTOzNGMmPSaY8Ze2q3L1ZklS6d//fVZeDwAAAAsHwUxETXvGTLWVWcVjxgwAAAAASKMzZkwQSInErLxGyvoyknwrFX2rkZveI0kq//gn8vOFWXlNAAAALAwEMxE13YoZWpkBAAAAwHj1B90CXzY+O8GMIyldvaPOeYG8DVfIW7FKKpeV++Fzs/KaAAAAWBhmXNN94sQJ7dmzR4cOHVIymdT73vc+ffzjH1csNvWprLXau3ev9u/fr6GhIa1fv147d+7Upk2bxu3X19enPXv26ODBg3JdVzfccIPuuusupdPpCc/7xhtv6LOf/awSiYQee+yxmb6dyAqmHczUKmYIZgAAAABAmpuKGUnKOFI+CNuZLU/GVLzp3cru/Z8a+u6/q+033i/j8CwkAAAALjSjvxJzuZwefPBBeZ6ne++9Vzt27NC3v/1tfe1rX7vosXv37tUTTzyhD3/4w/rMZz6j9vZ27d69W6dPn67v43medu/erZMnT+ruu+/WJz/5Sb300kv60pe+NOE5rbX66le/qra2tpm8jXnB2jCRuWgrMypmAAAAAGCcoNqCwAkC2Xh81l4nU72jHi4UFeRyGrnyKplUSl5fn3Lf/4H83t76ly2MzNo6AAAAML/MqGLmmWeeUaFQ0Kc//Wlls1lJUhAE+spXvqLu7m51dHRMeFy5XNZTTz2l22+/XbfffrskafPmzbrnnnu0b98+feITn5AkHThwQMePH9cXvvAFXXbZZZKkTCaj3bt36/XXX9fGjRvHnfc73/mOhoeH9f73v1/f+ta3ZvbOI266FTOJWDWY8ZkxAwAAAADSaMWME/iys1gxk7WepJiGR0oqDw2Gr/n2d8j/6X9o4F+/K2tGn4XMbL5abjo1a2sBAADA/DGjipkXX3xRW7ZsqYcyknTTTTfJWquDBw9OetyhQ4c0MjKim2++ub4tFotp+/bteuGFF8adf+3atfVQRpK2bt2qbDar559/ftw58/m8/u7v/k47d+68aBu1+ag2Y+ZiFTO0MgMAAACA8er3U9bO2owZScpU79cKxq1vi23dKhkj78wZef0Ds/baAAAAmL9mFMycOHFCXV1d47ZlMhktXbpUJ06cmPI4SeMCF0nq6upSb2+vyuXypOc3xqirq0s9PT3jtn/961/XFVdcoXe+850zeQvzxnSDmVorszLBDAAAAABIkmp3RybwZ7mVWXjjNmLc0ddsbVXi8jWSpOKhQ7P22gAAAJi/ZlRqks/nlclkLtiezWaVy+WmPC4ejytxXgl5NpuVtVa5XE4dHR3K5/NKp9MXHJ/JZMad//Dhw3r22Wf1+c9/fibLn5ZmVd/UXtcxjuRIVmHgYozkVAdGGuPUv69JOuFxnmfluq7is3jTMd/UrulCrKhqBq5nY3E9G49r2lhcz8biejYe1/TSce2wkNkxM2aUmL32YS2SXBvIN44KxlXW+pKk5NWbVD56TKU3Dyt97TY5s9hODQAAAPPPvLsbs9bqq1/9qj7wgQ9cUF3TCO3t7Q0/53QND5+rh1euG0gKFI+5SraE28Lvx5fQxGNJSWErs0wmo+XLJ57zs5g18zNdiLiejcX1bDyuaWNxPRuL69l4XFNg8ark8/KHhxUEF3YP8L3RYMavVCTfn5U1GCOlra/h84KZWGennHRKQWFE/uCgnOXLZ+X1AQAAMD/NKJjJZDIqFAoXbM/lcuPmzkx0XKVSUblcHlc1k8vlZIypHzvZ+fP5vJYtWyZJ+uEPf6jjx4/r7rvvVj6flyRVKpX6fhNV5sxEf3+/PM97y8e/VbUnFsvlsgIbqFwxklwFga9iKXx/qUSLiqXS+OPc8GdWUt/AkDKJ2bnhmI9isZja29ub9pkuNFzPxuJ6Nh7XtLG4no3F9Ww8rumlq11DYL7ySyWVTp6StRcGM2UTl1raZYJA5f5+xZKzVzWTsb6GFVfBxCSFbbqNMXJaWxUURhQM5ySCGQAAAIwxo2Cmq6vrglkyhUJBAwMDU1av1H7W09Oj9evX17f39PSos7OzHqR0dXXp6NGj44611qqnp0dbtmyRFM6hyefz+tSnPnXB6/zBH/yB7rzzTv3e7/3eTN7WOJ7n1YOeZghsoCAI5Ae19mW2/gSYrf5sLNcJZEw4kyY/Umnq2qOq2Z/pQsP1bCyuZ+NxTRuL69lYXM/G45oCmFC1QsYJAtnE7DaKSFerZPLGHbfdzWblnT4jf4q23wAAAFicZvQX6rZt2/TUU0+NmzXz3HPPyRijrVu3Tnrcpk2blEqldODAgXow43mefvSjH+naa68dd/7vfe97OnnypFavXi1JevnllzU8PKzrrrtOknTLLbfoHe94x7jzf/e739UPf/hDfe5zn1NnZ+dM3lJkVVsiyzFT72eMUSLmqFQJNFLkaVEAAAAAsNUH2pzAl53leUrpILwPKzgXBjOSCGYAAABwgRn9hXrbbbfp6aef1kMPPaTu7m719fXp8ccf12233aaOjtHZJg8++KDOnj2rRx55RJKUSCTU3d2tJ598Um1tbVq7dq3279+vXC6nO+64o37cjTfeqKeeekoPP/ywduzYoVKppMcee0zXXXedNm7cKElasWKFVqxYMW5dP/vZz+Q4zgWBzXxWC2bMRYIZSUq1uCpVAg2PEMwAAAAAQK1ixshO76bqEmSqFTNhK7NRTmsYzATDBDMAAAAYb0bBTDab1a5du/Too4/qoYceUiqV0q233qodO3aM2y8ILmy5deedd8paq3379mloaEjr16/X/fffr5UrV44uJhbT/fffrz179uiLX/yiXNfV9u3btXPnzkt4i/NTMM2KGUlKJlxJFeVGaOMBAAAAAPWKmdoTb7Oo1sqsbBxVNHoDR8UMAAAAJjPjmu41a9Zo165dU+7zwAMPXLDNGKPu7m51d3dPeWxHR4fuu+++Ga3pYx/7mD72sY/N6Jioq1fMTGPfZEtYMp+jYgYAAAAA6sGMmYNgJiarhPVVNq4KY+bMONVgxpZKsszCAgAAwBhOsxeAiQU2jGScaXxCqUT4x/9wgWAGAAAAADSHwYw0tp3ZmGAmkZBpSUiiagYAAADjEcxEVO32YTrtkJOJ8GOklRkAAAAASLYayMzudJlR6SAMZvLO+KYU9XZmzJkBAADAGAQzEVWfMTONfTvSRbW4Hq3MAAAAAEBjZsxobipm0ja8FxtbMSONtjMLqJgBAADAGAQzEWXD+wiZi3xCJijo3Sv/Vf/H9T/TMMEMAAAAANSfdJuripmJWplJYypmCGYAAAAwBsFMRFVzmYveSLj+OTnGakW2QCszAAAAAJBkq0+6zVkrs2owkzcxjR1r47RWK2ZoZQYAAIAxCGYiqvbHvHOROwknGJQktcR8lcsV+X4w9QEAAAAAsMDVZszMVSuzlPVlrFVgjPJj4iAqZgAAADARgpmIqs+YMVPfSLj+QP37dKKioQLtzAAAAAAsbrZ2Q2XmpmbGURjOSNKgHb3NdrOtkqSgUJD1/DlZCwAAAKKPYCai7DTvI2oVM5KUjlc0XKCdGQAAAIDFrX4/NYevWWtnNmBHX9WkkpLrStbKGxyY7FAAAAAsMgQzERVMo5WZkS/HFur/ziQqGswTzAAAAABY3KxqrczmTqYazJwL3Po2Y0y9nZnX1z+HqwEAAECUEcxE1HQqZmIqjPt3OlHREMEMAAAAgEWudj81lyUzS4OyJOn4mGBGkpx6MNM3d4sBAABApBHMRNR0WiLHNDLu3+l4RYO0MgMAAACwyNlqMuPM0YwZSeoIKjLWakiO+k2svp2KGQAAAJyPYCai7DRamcXM+IqZTMLTMBUzAAAAABCaw2AmJqulQXg/9mYsXd/uthLMAAAAYDyCmYgKqgMjp9PKrGxbJYWtzJgxAwAAAGCxC6r/NXMYzEhSZ7Wd2eExwQytzAAAAHA+gpmIunjFjK23MitolaTqjJmCN/uLAwAAAIAIG53ZObfBzLKgJEk65qbkVQfc1FuZ9ffXW6wBAABgcSOYiSh7kRkzjspyjC8ro6JdLknKxCsaomIGAAAAwCJXbUAgM1Vv6FmQtb4yCuQZR8fdpCTJyaQlY2QrnvzBoTldDwAAAKKJYCaigotUzNTamAVOmzylJNUqZghmAAAAACxugerJzJy+rpF0ueNLGp0zY1xXTjr83jt7dk7XAwAAgGgimImoi1XM1NqYBc4S+QqfxEonKhop+ap4wcQHAQAAAMAiUGsYZpy5v+Vd64TtpQ+7o3Nmau3MKr29c74eAAAARA/BTERdrGImbmoVM0vkq0WSlI57MrJUzQAAAABY1Gy1YmauW5lJUpfjy1irPjehQROTJDmt1TkzZwlmAAAAQDATWUG9Ymbi4ZC1ihnfHQ1mjJFScY85MwAAAAAWL2tla60HmlAx02Kky/yiJOlwtZ1ZvWKGYAYAAAAimIksO2XFTCB3TCszyZFvE5LCdmaDBDMAAAAAFivfV1ANZJrRykySNvhhh4M3q+3MnGow49HKDAAAACKYiaypZszEVJQxUmBdWZOSpHrVTCZRoZUZAAAAgEXL8TxZ09xgZr0XBjNHYyn5ktzW2oyZc01ZDwAAAKKFYCaippoxE1P4R76ndD25qc+ZSVRoZQYAAABg0TKeN1oxM9GTbnNgRVBWOvBUMY5OuKl6K7Mgl1MwMtKUNQEAACA6CGYiasqKGVMLZlL1bb6SkqR0nGAGAAAAwOJlvIoCxw2/b9YaNKadWSwtE4/LyYRtzSq0MwMAAFj0CGYiauqKmfAJK8+m69vGtjJjxgwAAACAxcr4YypmZJu2jvVeeN922A0fqIt1dEiSvLMEMwAAAIsdwUxEWRsmMhPPmJmoYma0ldlwwZv9BQIAAABABJmKJ1sNZpp5w7vOK8hYq163RUPGVay9XZJUOX2miasCAABAFBDMRNRkFTNGFbkmrIjxNKZixtZamXlUzAAAAABYtKJSMZNSoFVBSZJ0OJZWYs1lkqSh7/1AQbnctHUBAACg+QhmImqyGTOjbcxaZOXWt49tZcaMGQAAAACLlfHGBjPNtd4Lux0ccdPKXv9Oue3t8vv7NfjtZ5u8MgAAADQTwUxETVYxM1EbM2l8K7OyF6hY9md9jQAAAAAQNWEwEz7EZppXMCNJWuuHD9Ydd5MysZg6uu+UJA3uf0bewEAzlwYAAIAmIpiJqMkqZuKmWjEzpo2ZJPkKW5llEmG1DFUzAAAAABYj41VkTW3GTHOTmVV+Sa4NVHBiOudJmeuvU8sVG2TLZfV/Y19T1wYAAIDmIZiJqGDSVmbVihl7fjBTq5jxJFkNEMwAAAAAWIScCLUyi8lqtR/OmTlSsjLGaNnvfESSlPvRj1U6fKSZywMAAECTEMxElK23MrPjNtZnzFzQyiysmIk5gRKur4FhhkkCAAAAWHzGz5hpci8zSZdX25kdKYVraVm/TtkbtkuSzj35P2Vt89cIAACAuUUwE1G1P83HzZixRRkTyFpTD2JG949JJiYprJrpI5gBAAAAsAgZz5ONSMWMJK0ZE8zUQpj2/3SHTCKh0htvKv/T55u5PAAAADQBwUxEBUH437GtzEwQlsCHbcsmuMVwRufM9BPMAAAAAFiEjOcpME0MZjJZ5TtX1r+WLF0iR1bDgXQ4X1F/JdBwpk0tv/mbkqRze7+pgk/VDAAAwGISa/YCMLGg3sps7FYv/NlkH5uTkvyc0nGCGQAAAACLk/EqChxXkuQ0oZVZ2RgdGyyM29aWSGjASej5cwWtyyTCje+8SR379yvo7VXh1Gmlu1bN+VoBAADQHFTMRFTt9mFcLmP96s/cCY8xbjh3Jp2oqD9HMAMAAABg8TGePzpjJiKFKO1BRZJ0ruSPbkwk5K1dJ0nyXjvUjGUBAACgSQhmIshaydowkjFjPiFzkWCGVmYAAAAAFj2vIuuG90ymCRUzE2kPwvuzcyMV+cPDCnI5Bbmcyl2XS5Iqr74qv7e3/mULI81cLgAAAGYZrcwiaOytw0StzCatmHFSsgorZoYLnipeoHiM7A0AAACYaydOnNCePXt06NAhJZNJve9979PHP/5xxWJT34JZa7V3717t379fQ0NDWr9+vXbu3KlNmzaN26+vr0979uzRwYMH5bqubrjhBt11111Kp9P1fb785S/r3/7t3y54jc997nPatm1bY95oFPmjVSlRuRtaGlRkZFW0RkNnziplq0NFW5coI8n71a+Ue/UXMtUho5nNV8tNp5q3YAAAAMwqgpkIsmOSmYlamQWT3V64YcVMtiUMcAZyZS1fmpyFFQIAAACYTC6X04MPPqhVq1bp3nvvVV9fn/72b/9WpVJJf/iHfzjlsXv37tUTTzyh3/3d39W6deu0f/9+7d69W5///Oe1cuVKSZLnedq9e7ck6e6771a5XNZjjz2mL33pS/rMZz4z7nwrV67Un/7pn47btmbNmga+2+gxQTD6fRPXMZYraYljNRAY9TsJpfyiJKncuVxBLC6nWJTfP6BYR3tzFwoAAIA5QTATQcGYYMYZm8FcbMaMEz5RtSQV7tefqxDMAAAAAHPsmWeeUaFQ0Kc//Wlls1lJUhAE+spXvqLu7m51dHRMeFy5XNZTTz2l22+/XbfffrskafPmzbrnnnu0b98+feITn5AkHThwQMePH9cXvvAFXXbZZZKkTCaj3bt36/XXX9fGjRvr50wkEhdU2yx0dlwwE41WZpK0zLEaCKQ+J67LqsGMHEflVauUPH5MldOnCWYAAAAWiahUdmOMySpmTK2VmZ1sxkwYzLRWK2aYMwMAAADMvRdffFFbtmyphzKSdNNNN8laq4MHD0563KFDhzQyMqKbb765vi0Wi2n79u164YUXxp1/7dq19VBGkrZu3apsNqvnn3++we9m/rF+9CpmJKnDCW/0+k1i3Pbiqi5JUuXU6TlfEwAAAJqDipkIGlcxM/ZO4iIVM7VWZql4RRLBDAAAANAMJ06c0Pvf//5x2zKZjJYuXaoTJ05MeZykcYGLJHV1dam3t1flclmJREInTpxQV1fXuH2MMerq6lJPT8+47adOndLOnTtVLpe1du1afeQjH9H27dsv5e1FnrWjM2aiFswYa1V0XI3IUUphgFRaHX7elTNnZH1fxp3kfg8AAAALBsFMBI2rmJkgmAku0sqsJRYGMgQzAAAAwNzL5/PKZDIXbM9ms8rlclMeF4/HlUiMr6jIZrOy1iqXy6mjo0P5fF7pdPqC4zOZzLjzb9iwQVdeeaUuv/xy5fN5PfPMM/rrv/5r/dmf/ZluvPHGt/z+YrHm30bW1uA4RkFwXiOIasGMsVaOqf7MGBnjyFT/O6Xz9pnymAl+Ntn+Mceo1XoaMnENuC1KByVJkt/RKaVS0siIgv4BJVaukOu6isfjU68TF1X7PYnC7yyijd8VTBe/K5guflcWjtn6DPnNiKBaxYyRHRfM1FuZTVYxUw1mYqYi1wQEMwAAAMAi9qEPfWjcv6+//nrt2rVLf//3f39JwUx7ezTmoJzrH74gxJK1skH4QJuRlEy2hN/H43KTLYrFY/Vtk6ntWzPVMefvO9X+Jh7XcqekIUlD8RZdMeZeL75+nSo//4VMX59aN16hdLZVbcuXT7lOTF9UfmcRffyuYLr4XcF08buCyRDMRFCtYsacX3d/sVZmTovC2w+rVNwjmAEAAACaIJPJqFAoXLA9l8uNmzsz0XGVSqXesmzsccaY+rGTnT+fz2vZsmWTnt9xHN1www16/PHHL3iNmejv75fneW/p2EapPblYLpcVjO0F7fuKVatVjKyKxbAqJZ6qqFIsyat49W2Tqe1bM9Ux5+871f7xVEVtlREpntBZ66pYGt3HXLZG+vkvlDt6VPHNb1OQG1bp7Nkp14mLi8Viam9vj8TvLKKN3xVMF78rmC5+VxaO2mfZ8PM2/Iy4ZLX7CueChshTtzLzAyM5SSkYUSZR0bmhsnoHR8OZdNJVuoV+xQAAAMBs6urqumCWTKFQ0MDAwAWzYc4/TpJ6enq0fv36+vaenh51dnbWg5Suri4dPXp03LHWWvX09GjLli0NeheT8zxPlUpl1l9nOoLAytqg/m9TKStwasGMRn9mw/2sHb//hM7bZ8pjJvjZpPtbqyV+WYpZjRhXI1ZK1vqurVkjSaqc7ZVXLMr3fSki13ghiNLvLKKN3xVMF78rmC5+VzCZizTXRTNMXjEzdSuzYsVTyQ9v1tKJivJFTy+/2a9Xjwzo1SMDKhT9CY8DAAAA0Djbtm3Tyy+/rHw+X9/23HPPyRijrVu3Tnrcpk2blEqldODAgfo2z/P0ox/9SNdee+248x85ckQnT56sb3v55Zc1PDys6667btLzB0Gg5557TpdffvlbrpaJOuNVZKvBTBRvduOyaq3e1/U7ozNknCVL5GQykrWqUCkDAACw4FExE0ETV8wEMgp/MGkrM0m+wl7G2Zbwj/1C0VNrmqGRAAAAwFy57bbb9PTTT+uhhx5Sd3e3+vr69Pjjj+u2225TR0dHfb8HH3xQZ8+e1SOPPCJJSiQS6u7u1pNPPqm2tjatXbtW+/fvVy6X0x133FE/7sYbb9RTTz2lhx9+WDt27FCpVNJjjz2m6667Ths3bpQknT17Vl/+8pf17ne/W6tWrVI+n9e//Mu/6I033tC99947txdkDjmep2BMK7Moag8qGnbi6nMSWh2MtjOLr1yh0htvqnL6TBNXBwAAgLlAMBNB1oaJzNiKGaPRapepg5mkJGlpuhbM+AQzAAAAwBzKZrPatWuXHn30UT300ENKpVK69dZbtWPHjnH7BUGgIBjf8urOO++UtVb79u3T0NCQ1q9fr/vvv18rV66s7xOLxXT//fdrz549+uIXvyjXdbV9+3bt3Lmzvk8qlVI6ndY//uM/anBwULFYTFdeeaU++9nPatu2bbN7AZrIeJ4CJ7xfuqAzdESs8Es6GkvrlJvUJi+neDVAiq9aGQYzp043eYUAAACYbQQzETRRxYxTmy9jHU11i1GrmFmSCvcvlBguBQAAAMy1NWvWaNeuXVPu88ADD1ywzRij7u5udXd3T3lsR0eH7rvvvkl/ns1m9ed//ufTWutCYnxvdMaMjWbFzFJbUTbwlHNi6nGTWuePSJLi1fDN7++XXyhM8TgeAAAA5rsott1d9CaaMVOrmJmqWkaaqJUZc2UAAAAALA6m4kV6xowUPma3xi9Iko67qXrDNSeVkrtkiSQp9x/PN2dxAAAAmBNR/Vt1UZuoYmbawYwNW5llWiqSpEKJYAYAAADA4jCuYqbJa5nKar+kmA1UcGI65yTq25Obr5YkDT77XZVP9DRreQAAAJhlBDMR1IiKmXS8GswUaWUGAAAAYHEIZ8zUgplotjKTpJisVvtFSdIxN1Xf3rJhg+KXXSb5vs5+7TFZj/s5AACAhYhgJoKCCYKZ+oyZaQYzLW4tmKFiBgAAAMDiYDxP1gnvmaJcMSNJl1dny/Q6CQ3ZcLXGGGVveJecVErlY8c18K39zVwiAAAAZklspgecOHFCe/bs0aFDh5RMJvW+971PH//4xxWLTX0qa6327t2r/fv3a2hoSOvXr9fOnTu1adOmcfv19fVpz549OnjwoFzX1Q033KC77rpL6XRakhQEgfbt26fnn39ex48fVxAEWr9+vT72sY9p8+bNM307kWTrrcxGn/AyCsKfXTSYCVuZJdySJClPxQwAAACARcJ4FQUm+hUzkpSxvjr8svrchF7141pd3e6kUmq/48M698Q/aODpf1F6yzVqWb+uqWsFAABAY82oYiaXy+nBBx+U53m69957tWPHDn3729/W1772tYseu3fvXj3xxBP68Ic/rM985jNqb2/X7t27dfr06fo+nudp9+7dOnnypO6++2598pOf1EsvvaQvfelL9X3K5bK+8Y1vaMOGDfrUpz6le+65R5lMRn/xF3+hV155ZSZvJ7Jm0sosm3S0aklZq5aUlY0XtKw1/EjjTllGVqVKoM5sSauWlNXi5BR4g1JQmpP3AQAAAABzaWwrs/nQHuJyvyBJ+oUflzemxiez5R3KvPM6KQh09muPKSiXm7VEAAAAzIIZVcw888wzKhQK+vSnP61sNisprGD5yle+ou7ubnV0dEx4XLlc1lNPPaXbb79dt99+uyRp8+bNuueee7Rv3z594hOfkCQdOHBAx48f1xe+8AVddtllkqRMJqPdu3fr9ddf18aNG5VIJPTII48Cbcw1AAAgAElEQVTUX1+Stm7dqnvvvVff/OY3dc0118z8KkRMUK+YGd1mzMTBjCNPhcFjkqSkbVF+eERZJ3w6LJ3wlC/H1XvmqNrS0kgsLbfiKtm2To7TMifvBQAAAADmijN2xky0C2YkScuDspLWV9G4ei2W1Tu84frPln38Yyr+8nVVTp3WwLf2q+POO5q4UgAAADTSjB4ievHFF7Vly5ZxochNN90ka60OHjw46XGHDh3SyMiIbr755vq2WCym7du364UXXhh3/rVr19ZDGSkMXbLZrJ5//vlwwY4z7vVr29auXav+/v6ZvJ3IshMEM9OdMSM5Cmy4T2c2nDMzXIx6d2UAAAAAuHThjJn50cpMCufgrPHCWTMvJNrG/czNZtTxO/+7JCn/4/+QtdF/PwAAAJieGQUzJ06cUFdX17htmUxGS5cu1YkTJ6Y8TtK4wEWSurq61Nvbq3K1LHui8xtj1NXVpZ6enknP7/u+fvnLX15w7HwVTNXKzF4smJGCaiHUitbwuvblCGYAAAAALHxhK7Pwnmm+3AV1+SNyZHXaTerkeZ0N0tdcI7muvL4+eb29TVohAAAAGm1Grczy+bwymcwF27PZrHK53JTHxeNxJRKJC46z1iqXy6mjo0P5fF7pdPqC4zOZzJTn37t3r/r6+upt0i5FLDajS9Iwtdd1jCNVn+xyjJFT748cBjNyYnLG5GlmzD7GOHIcR1ZxSSWtWOJJknqHHTmOZBxHruvKdVzF4vG5eWNNVLumzfpMFxquZ2NxPRuPa9pYXM/G4no2Htf00nHtsBAZr6IgFt5TOvOgYkaSErLa6Hg6FMT1QmKJVhfP1H/mJFuUvGKDir98XSM/f03x5cubuFIAAAA0yry/Gzt48KCefPJJffSjH9UVV1xxyedrb29vwKremuHhc0okEorFAkmBXNco2ZKUJLllK1kpFksq6Sbrx8Rjsfo+8ZirZIuRqbRIQU4r28Iw51zOUbIloWRLi7KtaSVbW9W6ZPH8Qd/Mz3Qh4no2Ftez8bimjcX1bCyuZ+NxTQGMNb6V2fyxxa3oUBDXa7Gs3mP6NPZxyOTbrg6DmV+8prZff0/T1ggAAIDGmVEwk8lkVCgULtiey+UumPty/nGVSkXlcnlc1Uwul5Mxpn7sZOfP5/NatmzZBdvfeOMNPfzww3r3u9+tj370ozN5K5Pq7++X53kNOddM1J5YLJfLKpWtJFeygYqloiQpqXBeTNkLVPaK9eMqnlffJ5VoUbFUUkyOYpKyiXD7uWGrXKGoYtZRbtiXp2EVy/M+k7uoWCym9vb2pn2mCw3Xs7G4no3HNW0srmdjcT0bj2t66WrXEFhIwlZm8y+YWe4EWusVdDSW1k8TSzS2F0TqbVdrYN8/q/jaIdkgkHFm1JEcAAAAETSj/zvf1dV1wSyZQqGggYGBKee71H7W09Oj9evX17f39PSos7OzHtZ0dXXp6NGj44611qqnp0dbtmwZt/3UqVP6b//tv2nTpk364z/+45m8jSl5nqdKpdKw881UYAP5Qfi9MVIQBNXvfclIfmAUKKjvb62t72NtoCAIFBhXMlKLW1EyblWsGPUOWa3pDOT7vvzAl23ie5xrzf5MFxquZ2NxPRuPa9pYXM/G4no2HtcUwFjjg5n50cqs5l3lAR2NpfVyvE2/EVjVHn1sWbdWJplUUCiofOy4Wtatbeo6AQAAcOlm9KjNtm3b9PLLLyufz9e3PffcczLGaOvWrZMet2nTJqVSKR04cKC+zfM8/ehHP9K111477vxHjhzRyZMn69tefvllDQ8P67rrrqtv6+/v11/+5V+qs7NT995774Lrj22r9w9mzCNepjpjxsq96PGBDefHOKaiztbwZL3D8+l5MQAAAACYOeN7CpzwnsmZX7mM1vkjWu6XVDGOfpIbXbxxXaWuvkqSNPLzXzRreQAAAGigGSUat912m55++mk99NBD6u7uVl9fnx5//HHddttt6ujoqO/34IMP6uzZs3rkkUckSYlEQt3d3XryySfV1tamtWvXav/+/crlcrrjjjvqx91444166qmn9PDDD2vHjh0qlUp67LHHdN1112njxo2SwlZff/VXf6Xh4WH9/u///rgKm3g8rg0bNlzSBYmCoPo3uPNWg5nqx+rI0/I2q+N90tkhghkAAAAAC5vjVcbMmJlfyYxRWDXzv1Ir9ePhQDedPat49Wm9ljVrVHjpZRVefkWt11837jgnnZFJp5qwYgAAALxVMwpmstmsdu3apUcffVQPPfSQUqmUbr31Vu3YsWPcfkEQ1Ntr1dx5552y1mrfvn0aGhrS+vXrdf/992vlypWji4nFdP/992vPnj364he/KNd1tX37du3cubO+z8DAgI4cOSJJ+vznPz/uNZYvX64vf/nLM3lLkXRhxYyVY8LrGcwwmKFiBgAAAMBiYTx/Xs6Yqbnay+n7QYeGnLh+/KtT2lYZkiTZ6s1h6fAR5V7+mcyYrhGZzVfLJZgBAACYV2bcA2zNmjXatWvXlPs88MADF2wzxqi7u1vd3d1THtvR0aH77rtv0p+vWLFCTzzxxLTWOl+NVsyE39SqZaTpVsxUW5mpos7WMNA5lzPyg/n1xBgAAAAAzITxKgrM/A1mHEnXlwf0bHK5/iOxVFsrQ3IkOa2tctIpBYURVc6eVWL16mYvFQAAAJdgRjNmMDdq8Ymp/7fWxsxoOh9ZoIQkyVFZS9O+4q6VHxidHWr8WgEAAAAgKozn1VuZOfOslVnNNZVhpYzVoBPXoVhGUvigY3zVKklS5dTpZi4PAAAADUAwE0G1LnDV+4kxFTMXr5aRwmDGsy0yRmoxQ/V2Zif75+eNCQAAAABcVBDIBMG8bmUmSXFZvaslvAf8SaK9Hi/FV4VtwAlmAAAA5j+CmQg6f8aMUwtmzPQ7z5W1RJKUMENa3haesIdgBgAAAMACZTxPkhQ44QNt8zWYkaR3JXzFbKAzbouOuOH8mPjKsGLG7+9XUCw2c3kAAAC4RAQzEVQtmLmglZnM9CpmJKls2yRJCQ1SMQMAAABgwXMqZUlS4FaDGTt/73/SjrSlEvai/kliqSTJSSXlLg2/r5w+07S1AQAA4NIRzESQrbUyqyYzozNmZhDMqE3WSjFT1Kol4dNUJ/ulYB7fnAAAAADAZJxqFUkQi0uaZxUzmazynSvrX4PJjN6ejcuR1dFYWm90rFa+c6W0YYMkaWRgUF7HsiYvGgAAAG/V9HtjYc4E1VuIS2llZhWTp4ziymtFelCuk1HZM+odslq7pNErBgAAAIDmckphMOPHw2DG0fx5KK1sjI4NFur/TjgtKg/ltSrmqCeW0veLrrZVcmrpWKlOSeVfvaFcLK5YfljFV38uJ5vR0g//tmLVihoAAABEG8FMBNWKWs6vmJlJKzNJKmmJ4sqrxRnSstbVOjNodOKc1drLG7hYAAAAAIiAesWMG97mzquKmUms9wvqcZM667Yo57kyK1fJuq7c4oj8l16UL6lU3ddJptTxkf/UzOUCAABgmghmIig4P5gxM29lJlXnzJgeJTSkZdlAZwYdnRqYP0+NAQAAAMB0nV8xsxCCmYz1tSIo6Yyb1JuxjLZYX+du+U21nOzR0kxSiVJRxhgVXjqo4uHDzV4uAAAApolgJoJqFTPmgoqZmX1cFWVlrSPXVHT50oJ+fqKNYAYAAADAgnRhxczCuPfZ4BV0xk3qlNOiK40jrVmr0pq1Wr4krXTvaSWWdajw0kGVjx6T9X0Zd2YP9AEAAGDuOc1eAC4UnBfMOAqqG2b6B7ajslolSWuWDEiSThPMAAAAAFiARoOZ8L5podzstllPy/ySZIwOu5kLfh7rXCaTTMqWy6qcOt2EFQIAAGCmFsrfqgvKpDNmZtjKTKq2M5PUmR6UJJ0dsvJ8whkAAAAAC4tbOq9ixi6c+54NXkGS1OMmVTzvNt44jlqqg0RLR47M+doAAAAwcwQzETRaMRN+Uwtm7AxbmUlSWUskSUlnWOl4oMBKZwbKjVkoAAAAAESEUxpfMbMQZszUtNuKlgZlWWN0NJa+4Oct69dJkkqHCWYAAADmA4KZCJq0YmbGrcwkTyn5NibHBHpH15Ak6WQfwQwAAACAheX8VmYLKZiRRqtmjrtJlc97dy3r1kqSSoePzvm6AAAAMHMEMxFkz5sxcymtzCRTr5q5qjNsZ3byXOnSFggAAAAAEVMPZpzajJmF08pMkpYFZbUGFfnGuaBqplYxUz5xQkGl0ozlAQAAYAYIZiIoOK9ixqlXzMy8lZk0OmfmsrYBSVTMAAAAAFhgrK23MhuJxSVJCRs0c0UNZzRaNXPETWvYjlbNuO3tclpbpSBQ+djxJq0QAAAA00UwE0GTVczYt9DKTJLKCoOZTGxYyZink+cIZgAAAAAsHKZclrFWnhtT2QkfaEtZ/yJHzT8rgpLag7ICY/QDr6W+3Rgzpp0Zc2YAAACijmAmgsZXzNgxrczeWsVMoBZ5NiljpA0dAzo9UJbvL6ynxwAAAAAsXrVqmaH2ZZIk1waKL7BWZlJYNfO2yrCMtTocxPT6mJZmtXZmpSPMmQEAAIg6gpkICqol6WHFTFCvnNFbrJiRRqtmrlo+oCCQzgwwZwYAAADAwuBW58sMdyyXFFbLmKkOmMey1tc6P2xp9mxLp8rVJ/tqFTNlKmYAAAAij2AmguyYipnafJlw21v/uMp2iSTpys5wzkzPuZFLWSIAAAAARIZTC2aWhhUzqQU2X+Z8V3h5tSrQsBPXvw2F77VWMVM5c0Z+odDM5QEAAOAiCGYiaOyMmfp8GbmjQ2fegrBixmhJsqj21IhOEswAAAAAWCBqrcyG29olLcz5MmO5kt4TC7sgHMhZnRqpyM1mFVsWBlNl2pkBAABEGsFMBAWTBTOXwMqVYmE7s42d/Tp5rnhJ5wMAAACAqKgFM7nWsFPAQg9mJGmd6+uqSk5W0jePDSmwljkzAAAA8wTBTARN1MosuMRgRpJMvENSGMzQygwAAADAQlFrZZZLt0paHMGMJL2/1KuEkY4VKnr+3Iha1odzZkrMmQEAAIg0gpkICsYEM42qmJEkEwuDmQ0dg+odKMivvRAAAAAAzGO1YKaQTEtaPMFMq/V1Szb8fv+JofqMndKbb8rv7Z3wyxZ4SA8AAKDZYs1eAC40OmPGjgtm3vqEmSo3K+MklIiVtWbJgM4OFLWqI3WpZwUAAACApnJKRZUSSVVicUmLJ5iRpHc5Jf3MC3QiltI/aal+y3WloWEN//RFOekL7/cym6+WO8F2AAAAzB0qZiJotipmAmuk2Gg7s9eODqt3sFz/KpQWz80LAAAAgIXDLRaVa1sqSUpYvwF3T/OHY6QPFU8raX2djiX1wns/IEny+s41eWUAAACYDMFMBI1WzEiOAkmNmTFT8X31FzOSpKs6+/Ufh/r06pGB+lehSDADAAAAYP5xSkUNt4bBTMoGTV7N3Guzvj4wckaS9MrV1+rY2o3yzvVJkoJyWZXec/LOEdQAAABEBa3MIigYE8wY07iKGUkqa4mslZZnRzQw0Cdr22XMJTdJAwAAAICmccZUzCyaNmaZrPKSKsmMyp0rtVrSNV5Zr/gJff+WO9Sx72+VObxPyufrh7T++nuV2Xx105YMAACAEBUzEWQnamVmGxPMWMXku+FAyMuX9OrsQKkh5wUAAACApvB9OZXymIqZxRHMlI3RrwYL+tXgSPW/Ba3MD6itUlQplda/v+e3FRQKkqQgHs7eyb/4oqy/OK4PAABAlBHMRNC4ipkGzpip8WOrJIXtzI6eLjTsvAAAAAAw15xS+LBZrhrMJBdJMDMRR9I1QV5u4Ov0Zev0w//8CfXsuEunPvq7UjKlYGhYuZ++0OxlAgAALHoEMxFkbdhazDGSUw1mGjFjpsaLrZYkbVg2qONnc7K1Eh0AAAAAmGecUlGSNLykXdLiqZiZTMb62uzlJEmvL1mhU8k22URCsRtukCQNPvtdBcViM5cIAACw6BHMRJCd5YqZwFkqzybVEvO1PN2v3kHamQEAAACYn5ziiKykXLZNkpRe5MGMJK0OSrrcC7sjvBJv05CJyb3mGjmtrQryeQ0+869NXiEAAMDiRjATQcFEM2Ya+VEZo4LCqhnamQEAAACYz9xSUYV0qwI3JmOtWmzQ7CVFwiYvp2V+SYExejGxRHknpvS2rZKkwW8/K29gsMkrBAAAWLwIZiJo4mCmcRUzkpS3l0mSNnb26+iZAu3MAAAAAMxLTrGkXNsSSVKLDbjJrXIkbakMKRN4KhlXT1eSMmsuV2Lt5bLlsvq/+c/NXiIAAMCixd+sETS2ldlszJiRpIJWyVppZWtBMVvQuaFyQ88PAAAAAHPBKY4o17pUEvNlzheX1bWVAcVtoF7r6luplVr6gdskSbkfHlD5RE+TVwgAALA4EcxEUDDLM2YkKVBSRS2TJF3Z2a+fvtYvz6fkHwAAAMD84pSKGiaYmVTKBtpWHpQjq9fjWX237TIlt/2aZK1OPvz/aGD/MwrKPKgHAAAwlwhmIqjWVMyVL2NsdVtjgxlJKlTbmW1a0a/ewZL+6QcnaGkGAAAAYF4JW5kRzExlqa3ollhJkvTjnNXTv36HKhuuUDAyov5v/JOO/9e/0ND3vi/rc/0AAADmAsFMBNWyEdcZ/aN4NoKZvMJg5qrOQS1Lj+inh/r07AunG/46AAAAADBbnNIIFTPTsMn19KGR04ob6XDJ6hsf+l3l/uATii3rkD84pHN/9/fq+b8eUjAy0uylAgAALHgEMxFQKHr67/90SAffGJIkBdWOYrFqMBNYR5Jp+OuW1KGiXaaY4+kPb3xVrS0lPfndY/rF0aGGvxYAAAAAzAanWGTGzDRt9nL65DJpZVzKe1b/kFipX+z8P7Xkwx+Uk06pfPyEzn7tcfm9vfJ7e2ULhDQAAACzgWAmAg6fyuvAq7365wNnJY22MnPM7MyXGeWox96ism1VOj6iT978cyVjFf3dt4/IZ94MAAAAgPmgUlE+2yYpnKeCSWSyyneuVCwW0x0mp7c7FUnS9/PSo2uu1Q9/57/oV1ddo7Ovv6mT3zugM2cHNFKpNHnRAAAAC1Os2QuA1NGWkCSd6S/JWimoJjOxWQpmsklHq1Qb7uioHLxXscJ31JbI6a7rX9WjP36HvvvCUb1/W3v9GMdJSk5LQ9cBAAAAAJfEWo3EEpIxcmyghAhmJlM2RscGC0o4LSoPFdSlglynRT+Pt2rIOBpKLtUvbr1TkpQdHlBnX0UfWCGlm7xuAACAhYhgJgKWL2mR6xiVPatcUbI2bFs2WxUzjjwVBo+N21bURnW6P9fqtmF9/Nqf6xs/cvRrXYNKt4RrSbatk0MwAwAAACBCjFdRPlOrlvFnoQH0wrYqKGlZqawBJ65+J6F+E9OwiSnXulQ5SY/3FHSHm9DmpclmLxUAAGBBIZiJANd11Lm0Raf7iurPj95K1CpmgllrZTbKV0pKb5XyL+mKZYP64Nte0//66WZ98NrwV8RNWbXw2wIAAAAgQpxiUQNttfkyVMu8FXFZLQ/KWh6EXRVsPi/vxZf00+t/XcNLOvT1wwPa5JT1vnNHlDx1UskrNyjzrutlDDEYAADAW8WMmYhY3ZGSJPXlRrfN/oyZ8Somo77gKgXW6O0rz6nV/Eo//MWIfnakoIE8vYUBAAAARItTLGq4tRbM+E1ezcJgMhm1dq3SnU/+v9r6/A9kfF+HgoT+R2atDvSX1PPY/6cz//0r8nP5Zi8VAABg3iKYiYiV1WCmPzf61JE7x8GMJFXUpiF7hSTpxnUn1dd3Rl9/LqH/+rXD2vuD43O2DgAAAAC4GKdUVK6NYKbRiuuvUPHKq3TdT76r/+0f92jFuVOqJFr0k5tv0z/83p/qB7Glev3//hvlf/wT+b298nt7ZQsjzV42AADAvEFzqohYVauYGdPKbK4rZmpKWqazpbKWtxzTB9/2pvLlFr1yqlPPPn9aH9y+Wi3xuV0PAAAAAEzEKRaVW75KEsFMow3e+G6tuP231VIsqduN6RdBUS94CQ0lU3rpne/VK792oza+dlDXvPiqlpYKMr4vWyhIlYqW3vJetb3v15v9FgAAACKLYCYiVnWEwxTHtjIzczhj5nxBfJUKtqi0OauPbD2kwEnr1Z60fvpav26+pnPO1wMAAAAA53OKIxpuXSKJGTMNZ4wqHZ06/Ms3JZWVkLRd0hmnRYfdlIZiCb32jnfqNWu15ujrevvLP9HqE8dkJJ37+pPy+gfUfucdzKIBAACYAMFMRKxaFlbMlL0xrcxUrZixzahQMRq26+WqrBYzqO53vKKe/q36wStnCWYAAAAAREJQqaiUykiSklTMzDojaWVQ0oqgpH4vrmOe0ZnMUh1fd5WOr7tKrUFF2/p7tPYbf6/B/c8oyOe1bMd/lnHoog4AADAWfx1FRFs6rlRi9OMwsjImfOJrrluZjTIatBtVsWnFnbLuuv4VlfI9OtVH72AAAAAAzTdiwnulRKWsuGyTV7N4GEkdtqJfc8u6uXROl3sFuZKGnbi+t2ydnvgv9+nZ3/qonj+T05FHH1dQqTR7yQAAAJFCxUxEGGO0or1FR06PVP8tGTVnxsxYVq4G7CatiP1SHem8/vCGgzr1xpBWtH1QTizVtHUBAAAAQMFNSJJSlRKPHTZJxvp6m5fT5va0jntGJyrSoOfo6IardXTD1fqBtVrxnZd12amjWjLQq9b+XrXlh7Rs21Yt+c1bFV+xotlvAQAAYM4RzESADTz1n/iB3rbK0ZHT4UfiGMlR82bMjBUoofTq23W253mlg19qZfKwzvzyfyiz/D16va9LvpWWtSXUuaRF2VSMHsIA8BZ954XTirmO3rt1ebOXAgDAvJBPtEiS0n6ZYKbJ4l5FXf39em9bWvl8v34Vy+h1m9DZZFZnVlymMysuG7d/S7GgJc8f0Wr7S224Yo2u2LBGSxLNvfcFAACYKwQzEVAZOa3hMz/Wu1bG9f3EtcqXE5GpmKkJTFLZ1bfp8W9m9BsbD2lla0G5U9+Wm0upL5/WsWKLBkcSSqaW6rduers6OlY2e8kAMK8cO1PQ1589KknatKZVKzuSTV4RAADRV2gJq/hTAfNlosJks8oa6dcUfg2X+nUkX9HZeEpDblz/P3t3Hh9VdTd+/HOXWZLJRhKSkBAWQfZdRYEWBbVWu2htQWmttGr7vH7qU1vbPn2s7aO2Wpcu9tVHfbW1Ym1rCwoq9VFLaSkugEUEWYQEkMUsZCF7Zr3L+f0xmSGTBRJEAvJ9v15DmHvPPffc75yZOeeee8+06B5CmkHUn05dUTp1wNYwsLOe9GAbBQ01FDTWUdTaSJFXI72kGN+IYXiKCkHTUJaNsiyUZeEpKsIIpA/sAQshhBBCHAcZmDkFeNKH4EkrgHAdl43dz3Pbx55yAzO65tDSWk9WTiG/2ZDOBcOruWjU+wzOCDM4I/U3Z6LV71B1uJSC0jm023m8ufMwpqFz8TmF6HI3jRBC9Gj9u4dT/v+5jw8dwNIIIYQQp56GFc8TKSun8P/9B57C+PRXwbQAAH5c5JaZU0NM06hoCaUsSzNgmBsGN9531HMG0dLSSigcwwqFqfOk0ZhXSCiQyYFAJgeGnR1P5zjkHq4hf+t+ctZuIrv5MNnNDaSF2tEAze+n8P99nbQxZ5/swxRCCCGE+EBkYOYUoGk6uaWXUbP7j0wpruedqkKq27JPmanMADRlEWo5yLgC2FPpYX9zMYMachmV34apxcjyu8SsCA0tEQoz29BjFdTtXcq26gLW7h1Gc8RP9eEwX/7ECHRdBmeEEKIz23HZuKsh+fzNnYe5ck6JfF4KIYQQndi1dcQqq6j/058pvf02GsIxagvjFzKkyXfmacXUIFM5ZPoNRp11FqqpEStaS71rUKuZ1Gleag0fYcPD4cISDheWpGzvsWJktzSS3VhH9qubGVrfRslZpeRlBvBkxO+gsQ4fpvmN9ajx42DC+IE4TCGEEEKIXvV7YKaqqoolS5awe/du/H4/F154Iddeey2mefSslFKsXLmSVatW0drayogRI1i8eDFjxoxJSdfY2MiSJUvYtm0bhmFw/vnnc/3115Oennp78qZNm1i2bBnV1dXk5+dz1VVXMW/evP4ezinDFxiCL3sCsZadfGrCXp56exqa5gKgTqErvzLT4ItzrI5nJhaDsIA0r4+mSBTLByt2xJhUUMH4wgamldQxeUg926oLqG49xItra7l89jg8viw07dQ5LiGEOFlaQxa/XrmX4YXpLJw3DE3T2L6vhfawTXbAg+24NLdb7Hq/lYkjsge6uEIIIY6T9JtOvEFXX0W4rJzIrjIOrX2d5TlnYfn85NdWkZNpADI4czqKaRoVYRs6LkjMVjbZyma0GyJi67Rn5NAUjhLUTEKaQUgzsDxeDucXcTi/CIDNALUO1LaSprfiD4fwNjbgdzPxbtmHs/cwFBdjZ2QSdRQKGBbwMDbbz4iAB68hfVMhhBAfjNXQiJmTjWYM/AX2HyXtlsNbDWEmZPsoTPMMdHFOqH4NzLS3t/OjH/2IoqIivv3tb9PY2Mgf/vAHotEoN95441G3XblyJc888wxf/OIXGT58OKtWreK+++7joYceorAw/nsktm1z3333AfCNb3yDWCzGH//4R371q1/x3//938m8ysrK+NnPfsb8+fNZvHgxO3bs4Ne//jVpaWlccMEF/Y3BKSOzYCYH6/aQF4hw4VkHk8tPhanM+srngTnjvby9bwwNtsuUwv1kmXVMH1rLdGqB92jYuwGFgenJQNNN0AwsRyNmQdg2qQ3mUR8u5IIpZ1FaIPMFCyFOX01tMbICHoyOq3iVUvxh1X7eq27nvep2hhUGmDUxn/U74tOYXTAhj6jlsvadOtbvOCwDM0J8RCjlEm56FzvWTCD/HAxT2jcfddJv+nB4iwoZdNVnqUGL+5EAACAASURBVF/xAs+2mzRnKDJam5m3ZiXNn/vCQBdPnGAakKZcsk3FYDuYXO4CeYUFNAfDNLkaTTX1NGPQkpOH5fURdiHsS4chPXzWBq3kf+siNpsawphWjKEthzk7P4O84UPxmgZeXcOja6iGBlp3lhEKhdEnTMLJyyPqKry6ht/Q8Rvxvz5dQwGOUjgq/tdVkO3RyfYaMqW3EEJ8hCnXpemFv9Ky+p94Soop/H9fx5OXN9DF+kioDlks3d9Ei+XSGnO4cthH6xxJvwZmVq9eTSgU4rvf/S4ZGRkAuK7L7373Oz73uc+Rm5vb43axWIznn3+eT3/603z6058GYPz48dx22228+OKL3HTTTQC8+eabVFZW8vDDD1NcXAxAIBDgvvvuY+/evYwePRqAFStWcPbZZ/P1r38dgEmTJlFbW8uyZctOyw5Ggm74+HflSC4etZtzhh4CQCmN022uZEOHmaMdCgpH0h4ZRsiuI8usp7W1iWCwmUHpEUzdwbFakttogA/wmZCTXcXYbKjfl0b1/hLGjhpHWloamqajaQZoBppmopvp6IZ3wI5TCCEAYpZDeUUbo0sySfPFB9JdpVj5RhV/23iIYQXp3PK5s8nJ8PL6tnq27zvy2bd0zUEKB/nZsb8ZgNkT84nZ8YGZd/Y2EYzYBPwy66gQpzLXtUC56Iavx/VWuJaW6n9ihWsBCDVtJ6vwY6QNmowmJ+o+sqTf9OHJvPDjvBjzU1tUiicW5ZJXluHFHehiiZNIBzJMjab2NnKAnEwvGdvfIWvLJqL+dCL+dNqHDqNl2rmEBxeiXPDs30Ng72484SAeK4ZjeKgqPYuK4WcTysjiQH4xBwAOtnbfYcG4+N8QEOph/TGYGuR7DQZ7IN9nMijNS5bPJMtrkOmJDwJ1pVwXu7GRWFU1OC7eYUMx8/Lke0MIIT4EbiSKsi2MjjZbV+Gycpr/9nf0QDqDrrgcb0lxyrb1Tz5FaNt2AKyqaqof/DmF/3ETnnFjT0r5TzWuUrTEnKNemNAYtXm9Nkh5a5TSdA8XFmVQnJ56N8y2xjArK1qwFeT5DD5WGDgZxT+p+nW255133mHy5MnJzgXArFmzePzxx9m2bRsXXXRRj9vt3r2bcDjM7Nmzj+zYNJk5cyYbN25MyX/YsGHJzgXAlClTyMjIYPPmzYwePRrLstixYwfXXXddyj7mzJnDunXrqKuro6CgoD+HdUppjuWxp34QZw9uAk6N35c5Xjo2oZYKADxZebSpDGqtYfxjh0Zjm0WaGcPQFYbu4jMVg7MNCjJjlGQ2kOlpZHBGGNhLuGYv4d52opmEbR9NQZOY60c3M/D5A7THfNQ269S2aGSla4wa4mX4YA+mYRMMhWmLgK77yMvJJDcrA83w0NreRktrMzghMv0xPFoU3Ugj7KRT0+Kh3fIzaugQivI6fVBrGqD1OC2bq1S3DyDLdqlviZId8PT5ZGs46uC6inS/IQ1xIY7CdlyUUt2Wt4YsdE0jI+3Ie851FZX1IWK2y/DCAB4z/h6OxBy272umud1i/PAsSvLT0DSN2qYIa9+p4/3aIJNGZvPxyYMJpJls2dPEs2sraGyLkZVucvXcUs4dm8tTq/bzVlkjAO/XhXjgz7u4Zt4wnlkb/0z8/NyhvLO3mfeq23n42XJcBSOHBCjKS0MpRUl+GlWHw7xV1shF007f7zQhTjXKtXGsdtB0DE9Gz9/fThQrUo8drgPATCvA4x+cMvDi2mEibfuItO4h2v4+KBdvejH+rNH4s0ZjeLNwnShttesJNW4FFJruw/BkYEcbaKn+J6GmnWQXX4wnbfDJOnxxEkm/6cPzWn2YPUUj0FyXeX9fQU7zYaKDCwe6WGIgaRrtU6bjBDLIqDiIM3IU2rAR5GiKQU11+P0+IrnZlFx6Ia3//CdmcxgnEGBQus5YWmmxbBoON9OgdGzDxDY92KYXy+PBMU08ysXrOHhbm/FGo5iOhVtQSEzTicYsYqaXmNeHrlx0x0V3HXTXATSCGZnYhklN1KEmCrQ7QDSl+F4rhqFclKbFHyp+l7VhW3hjBh7LwXNoL163HD09DTc9gK2IPwAbDccwcUwTRzewNR0/LrnKZpBrkevGyHVipOsKzTDQTRPdNNFMAwwDZZgow8Q19I6/Bq5hoHQdFw1XgalrBEydDFMnYMbvFDpW39RVCst2sKJRbI8PB7BcheUqNCDDY5Dp0TE0DaVUr/k5rW3EqqtB0/CWFPd64rS/lFK4be0o10VPTwPPR2t6HCEGkmtZqJiFnp7W43s7/v5rAzT0zIxuaZRSOK2tWIdq0APpeIqK0Lu8R532dqL7DxA7VIOnYDC+ESMwc47cTeFGokT27CH07k7sww34zhpJ+oTxeIeVouk6ynUJl5XTvuHfhLZuQ1kW/jFnkzHrfALTp6H7fEQPvk/jyheJ7CpL5hvaspWMmeeS8+kr0HSd2sd+Q6yqGs00yf38VbSte5NYZSWHfvm/qMVfZvBnP31ig8uRuzI9R/l9PVcpWi2XqOOS4zXw9TBlp+pIUxexCdoueT6DwX4Tf5e0YdulIhjj/aBFY8yh0G8yLOChJOBNXlzgKMWB9hg7myPsaokStF0yTJ1x2T4m5vgZnuHF0DQOR2xer21nW1MkeVlNWWuUstYoY7J8XFgYYEi6h39Ut7G+PgTA2ZlePj88hzTz9LpxoS/6NTBTVVXVbT7iQCBATk4OVVVVR90OSOk4AJSUlHD48GFisRher5eqqipKSlJ/1E/TNEpKSqiurgagtrYWx3G6pUs8r66uPi07GAmDAvDSrlHckrsZj+GeVtOY9UVhtqIwW+G4BlWN6QSjGoOzFKOHePAHCqmprSBCDlE1nGBbK6FwK3np7ZiaQtcVhuZi6Aqv4eA1XVA2aYZNWhZACxC/GrXQhFHpQOcq1wIO4O944AKN0Nh4JEniZncnFk+bLDdQ6IlnX1Pb/bhsVyfmeLBcD2HLIBg1UMrF54E0j8JruijXwXZdlKtRj4auaZimgYaGo8B1NdA0dE1H03UsWxGJuUSt+AeuoYPfA15T4TFcTEOhobAdsJ1EGh3D0NF1HaXijXpXxW+rB63jDiyIbxl/rojfmaVp8TJpuobrKhxX4brxBrKhaxiGjmEYWLaN6yjQ6EgPKA1XxdMD6Ho8L6XAcVX8hDlgdCzX9XjjO3EOXdOONOxjtkPMcrEdhcfQ8Xp0vKaOS/xkuqtA147sw3EVjhMvr6aBYeiYHVMJJNJrncoEHV9iibJ2lAc6vvxdUBzZh6aB68bzUiqRT7zM8WM+MgiXWOeqjn27oOnx49Y6xcN1FZqu4fOYKOXiOPEY2a5CQ8MwNExDQyMRv3ic4q9DvKyW7WI5CuUqTFPHY+jouobjxvOL1wct+bBdFa8nrkrmY+h68vWxnfhy09AxjHgdsOz4Ol3X8Bg6pqmBcrEdB8dx0DWFx4zno9CJWoqYFT9+T8frpmkaluUQtV1cVyVfT0PXiNkO0ZiD43Qs9+iYhk4k5hCK2EQsF5/HIN1n4vfqxGyXUMQhEnPwmHp8uc8gZru0h23CUQfT0Aj4TQJ+A9txaQtZxKx4ANN8OpnpHpSraAnFcJz4O2G3rpGZbmLoGs3tVrJubKnX2OU18Hl1mtss/GiMyYLoYVjzKqT7PLSHLWaWxN9fAIf27+ZvFRq5SnHZOI3RxRlUHQ4Tiji8V1bOvFGKvCwv00ramJpvs3lPQ3J/o0oyaK6qQkPj89NC7KsOopoP0FKdS+qc+VoP/9U6Le2SNvE0OWbVefBKdXqmUlbpukb4cBrhcBjXdU/4frv+m7I69UkP+9bo+m9KOi2RRSIfdWRf3cqT2L9KptLQOgbe9Y7PJr0jDwXKBeUeSavpHcerd0RDQ+GmplMKwzAJH04nHImh3ERpOtJ0pI1nqHfkqScHDZRygUQ6B5TquHtU75ReS65XykUpB1AdaYwjfzvSKWXH07oO4HakMTrdmaqjlBN/uDYoG6WcjvUmmm6iaeaRdK7V8bBRyo7npZtouif+0AyUa+O6FsqNdTws0Ax03Yume9EML5ruiefjRHGdCK4TRTlRNN1AM/zohg/d8KPpPjQcWipswqEmbCuIa4fQNCN+R62ZjmGmo5sBlBvDjrXgxFpx7fZO9SU+OGN4szE8WSg3hhWuS7mjtzPDm43HX4DrRIgFK7vV01ioilioitaaV/H4C3DsIG7H1Dv+7HFkFc1FN9MINbxDW916rPAhDr/3NIH8c8ksnCMXX3zESL/pw7GjKcy/auLv4084TQyp2g+A6/cPZLHEKSI86mycc2cSa2rqcb0WCNB6zvnJ595Bg4g1NeF1bIYMymCI45D2/gHS39uN0nQiw0eSO/NcKhvb8RYVYBohAv96De/BAyn5OhmZRCdMws4fTE5zA9GD72PWHkKzbVxNoy1rEC05+TQPyqdlUB7BQBahQCahQCa2x0vM0/MsEJbXRyT9+AYhwhhUaQZVes93c3aM6HThArE+5a+7Dj7bJt6zBFS8Xa3QsHUdRzdwjM6nm9p6zkgp0iIh0ttb8TsWeLy4Xi/KMLEdB9e2UW5HG0kBFe+hGXr8BK1poikX5SqU6+ICStNxdR2lGyhdw1AKQ7mYroup4g/XsnHtjgfE++COg+G6mHr8l44MTUN5PNgeL47Hg6Pp2GgYroPHsfA6Nl7l4kHh6ga2YWKhxR+ahu64mK6DicKDwqOB6ui72ired3U6+rWGBqamYeoaBgrXdbFUIi8d2zTRNC2Zj8d1MR0LzVU4gIOG3fFXUy664yQfhmOhXIVrmjheH27H8SjDQFMKzXU7Hg5K03ANs+O1M3A0HVwX04rhiUUxY1E8ysU09GQ+rm5gq3h/WHPjg5Ip5xUMM15GFX8opTA64mISv5vM0OL1wHVdlKPi7VQ00HWUYYChozQ9fv7Ajb/erlLxtrquo3fEz0Ch2za6Y+MqhYOGqxsdA41mPNZKodlWPJ1l4SqFMj24poky44OSmqvQHRvNttBsG8N1cE1PvB6YHhzDxFYK3XHQwmH0SCT+Wps6mteL8vri6R0H23HBttBjsXg5DQPDNNA8Xlxdx3bdeF1wFbgOOmDq8f64YRgopbAche0qLMDWdNB1PJqGR++oN7aFsqz4oKdS2Eb8tVaGiUcDr6YwrBhGNALRGI7j4pgmrs+H6/WBaWJooMei6JEoejSMilm4Xh+u34/j8+N6vbiahh6NokcjGOEwejSCbpq46ek4/nRsnw8LDdt2MCIRjEgI07LidcbrwU0P4KSlEXPc+LkM18WwYngsC9N18HoMPD4vts9PxHKI2C4x04Pl8WBaQbxbK/FrCp/Xg1e5xIIhoo5LzOvD8mRjNYBRuxevcknzmniiEbSGBhxdx/LmYZUWE9N8WO81Y+xtwu8xMFtbMYPteLy5uOdfTMzrI+bzYzXrxNbvxjQMzLZWPKWT8BaNISM/F8e2CbW0EvP6sd7aT8zvRzv/cnyuTUbJENIzA/hGTiG4q5xge5DYoQjqxfVE0gOgIM3QSDN10gw9PsigFEHbTXkoBQFPfBA8YOqkmzoa0Ga5tFoObVZHOsCva2R6DbI8OpkeA1ODpphDU9ShxXJwOnVX0g2NQT6TQd74nZqHozZ1YZuI2/3i1hyPTkGah3RTpypkUR9J/cJ4N/FdAAxJ9zDIa7CvLUrISc2r3XbZ1BBmU0OYdEOjKM3D/vZYshc1OtPLuXnp7GqJsK0pwu7WKLtbo2R7dFqs+Gf/xwsDzC/K+MhOCdqvgZlgMEgg0P22oYyMDNrb23vY4sh2Ho8Hrze1wZGRkYFSivb2dnJzcwkGg91+rBLinZhE/om/XdMlynW0cvSFz+c75g9yfhgMw8C2fYwdlkNVq87B8AwmDzmETTo5xKc6CAQ8uJqVsl16eoCc7N7Xd5ZY33mbntb3xOdP73Gbo217rLLlDTry/8yAB48vtVzZ2QXxk/C6J9HcIxiFd6sU++tcdM0l3WMxqlCnJE9hEMW2IigVJd20SPdaeHQbB4NITCMY1Yk5Orpm4PcqdM1BUzYe3cZjuERsk6jjJWJ7aA4ZhC2TNI9Nlt9iULpFuieK1+jWev0ISnxEaqSe8HQ7Hj2l7fpBrros046yrqft9S7rHPquP2kHWt86Pqc2Rfd6cTx6ykOj9w5ib8sVYHU8EjrXJ6uHZYntFPQ4GO72stzpIZ+ERJ1vZ1hu1+UWWIfx6TBrbOd8I2BHUEBJDpTkGIBCWQ297KP7EZxIDtAePWayE77f/viw9t19COmDp3UcaO/jW763T9b+pOvabO0trdYlQU/ptM5/E28Vt+dPei351eGCssAJx8eSOqeB+FtHT7S3rHhaO5iSztDB0D1drmCNgRNL5hkj3oYyjCwgq8tBh1FW/J5b09Aw07KB7PggES7JqwNwwWlGA7z+DPBnYJgBPP74m9eKNOIkfttAhTB0SMssxuMbhD9zOL6M4WiGSaTtfSJtB7DC9fF9enIwPCVk5k3Dk544+e3gLZxMVt5o2hu2EQ1W40ar8eoxTH8OJ5shP0z6ofmo95sGqs/0fk2IYVlpTM8L8PHiUVS+vwdr3z60EaNQOUefc9zMDGArl0AgnUF9TJtwtG26pj1a+p7S9rbN0dJ23aYvaY8nPUB6mv+Y8epa5v7G+FjpP0iMdV3D4/GQnubrW4zzcnGnzwDiU21n5OcyyNUw/V7s7Bzsqz6PXltD2sH9OD4/0ZJSrLx80DRMIFCQSyRiEW5pxQgFQdfxGQaDDYN8wwBXoXec8MVqQsOLV9NobWlDS5xU9vlxAhnYgQC2puN0nNDXlQtNzZjhEOl+H1HbRtcNMA1M28aIhDEjYcxICNv0EEzLIJgWIJgeIJSWgWWYKd/3SuPIyfnEiWblHnnuOvGT1MrFMQyivjSivjRsb/+nE9dcF8O20V0H07FRmkbEn47SdchOh8L8ZNrEN9OHNWm5Tu8teEX3MSuN+Imzzp94MXrvySXSucdIl0hj0/UeqlSJeDgdj8hR0p4oXWOUiMkH3Xfn3t2J7An3octywnX+5DhZ+0+0yXscV+2STiNeX3qdfaaT3s8ipjrWt4YGJFrtPfXKE3Tin69HS9f1PQfx4wl1PBKMjkfnyzN6yk+n00XaHXqqi93zK0nm2XnIP3EMnYe+o0DUAdBgzPjkccCRuCTL50JrLNEX0cHQSTcgvctYelB1/mk0HY9HJ9cDXc/OWkBjolJoBhl+gwx/fPDXo+lE3SOvXmvi1J5hUpBhogE5XpM0U6cl5hDsuDI4AkRsSPN6GOb1kOM1GZLuIcdnUB+2ORSykmlbXcgP+PEbOmdl+RiV5aM4zUt1OMZ7LVH2tUWJOC42UJqVRkm6lyl56eR1zCR0Vl4mc2MO25vC7G+NnxPJTdeYXZjB2Ow0/KfAnTIfVr9JJq7vIisr69iJPsR9f3ZIKZ/9xIAV4ahGjJww0EUA4BQNjxBCCCHOZAWlwJw+Jy8sGffhlUWID9lA9ZluGjQo5Xn2f948IOU400waPXygiyCEEEKI00wBMK207+mn9CPtR0W/hpwCgQChUKjb8vb29pT5k3vazrIsYrHUMfH29nY0TUtu21v+wWAwmSbxt2u6YDCYsl4IIYQQQgghBoL0m4QQQgghhBBH06+BmZKSkm5zIodCIZqbm7vNXdx1OyA533FCdXU1+fn5yVv1O8+JnKCUorq6OjnPcmFhIYZhdEvX23zMQgghhBBCCHEySb9JCCGEEEIIcTT9GpiZNm0a27dvT15lBbBhwwY0TWPKlCm9bjdmzBjS0tJ48803k8ts2+bf//4306dPT8n/4MGDHDp0KLls+/bttLW1MWNGfJ5Xj8fDpEmTUvICWL9+PSUlJafdD1gKIYQQQgghPlqk3ySEEEIIIYQ4GuPuu+++u6+JS0tLWbNmDdu2bWPQoEHs2rWLP/7xj8ybN485c47Mqf2jH/2I5cuXc8UVV8R3Yhhomsbzzz9PWloa0WiUp59+moqKCm699dbkbfTFxcVs3LiRDRs2kJeXx4EDB3jiiScYP348n/3sZ5P5FxQUsGLFCpqbm/H5fKxdu5ZVq1Zx4403Ulp6Bk5IJ4QQQgghhDhlSL9JCCGEEEIIcTSaUkr1Z4PKykqefPJJysvLSUtLY+7cuSxatAjTNJNp7r77burr63n00UeTy5RSvPDCC/z973+ntbWVESNGsHjxYsaMGZOSf2NjI0uWLGHbtm0YhsHMmTNZvHgx6enpKek2bdrE0qVLk7f1X3XVVcyfP/94YiCEEEIIIYQQJ5T0m4QQQgghhBC96ffAjBBCCCGEEEIIIYQQQgghhDg+/fqNGSGEEEIIIYQQQgghhBBCCHH8ZGBGCCGEEEIIIYQQQgghhBDiJJGBGSGEEEIIIYQQQgghhBBCiJNEBmaEEEIIIYQQQgghhBBCCCFOEhmYEUIIIYQQQgghhBBCCCGEOElkYEYIIYQQQgghhBBCCCGEEOIkMQe6AGe6qqoqlixZwu7du/H7/Vx44YVce+21mKa8NJ2tXbuWxx57rNvyK6+8ki996UvJ52vWrGHlypUcPnyY4uJirr32Ws4555yUbUKhEE899RQbN27EcRymTp3KDTfcwKBBgz704xgoNTU1/PWvf2XPnj1UVFRQUlLCz3/+827pTmT8ysvL+cMf/sCBAwfIzs7mE5/4BFdeeSWapn2ox3qy9CWmd999Nzt37uy27cMPP0xJSUnyucQUNmzYwOuvv86+ffsIBoMUFRVx+eWXM2/evJTjkzraN32Jp9TPvtu8eTMrV66ksrKScDhMbm4u5513HgsWLCA9PT2ZbtOmTSxbtozq6mry8/O56qqrmDdvXkpetm3zl7/8hddee41IJMKYMWO48cYbKS4uTkn3UW8f9CWmjz76KK+++mq3bb///e8zbdq05HOJqRBnFnkvn9kGos0oTn+RSIRvfvObNDY2cv/99zNq1KjkOqkrImHt2rW8/PLLVFVV4ff7GTVqFN/5znfwer3AiW3ri9PTpk2beO6556isrMTv9zNu3Di+9KUvUVhYmJJOPldEXxl333333QNdiDNVe3s7d955J+np6dxwww2MHj2a559/nqamJmbMmDHQxTulHDhwgLfeeovvf//7XHbZZcyfP5/58+czefLk5AmcdevW8dhjj3HppZfy+c9/nlAoxJ///GemTJlCXl5eMq+HHnqIPXv28NWvfpXZs2ezYcMG3njjDS6++GJ0/aN5E9muXbt45ZVXGDZsWPIYL7vsspQ0JzJ+NTU1/M///A8jRozgK1/5CgUFBSxduhSv18vYsWNP3oF/iPoS07Vr15Kbm8u3vvWtZJ2dP38+JSUlGIaRTCcxhV//+tdkZWVxxRVXJI/76aefBmDixImA1NH+6Es8pX723Z49ezBNk0svvZRLLrmEoqIiXnnlFcrKypg7dy4AZWVl/OQnP+Hcc8/li1/8Ij6fjz/96U+UlpYydOjQZF6/+93veO2117juuuu4+OKL2blzJy+//DLz58/H4/EAZ0b7oC8xfeutt4hEItxxxx0pdXTkyJHJWIHEVIgzibyXxcluM4qPhqVLl7J//36i0SiXXHIJubm5gNQVccRzzz3H0qVL+cQnPsHnPvc5Jk2aRDAYZPLkyZimeULb+uL09O6773L//fczZcoUrr32WiZMmMC6det49dVXueSSS5J9aPlcEf2ixIB57rnn1HXXXafa2tqSy1avXq2uueYa1dDQMIAlO/X861//UgsWLFAtLS29pvnGN76hfvnLX6Ysu/POO9VPfvKT5PPy8nK1YMEC9c477ySXVVVVqYULF6p169ad+IKfIhzHSf7/kUceUbfffnu3NCcyfr/5zW/UzTffrCzLSi57+umn1Ve+8hUVi8VOyDENtL7E9K677lL333//UfORmMb19N7+9a9/ra6//vpkrKWO9l1f4in184NZvXq1WrBgQfL7+t5771U/+MEPUtL88pe/VN/85jeTzw8fPqyuueYatXr16uSytrY2dd1116kXXnghuexMbR90jWlvn62dSUyFOLPIe1mc7DajOP1VVlaq6667Tv39739XCxYsUHv37k2uk7oilIq/ntdee63avHlzr2lOZFtfnJ5+85vfqFtuuUW5rptctn37drVgwQK1c+fO5DL5XBH9IUNwA+idd95h8uTJZGRkJJfNmjULpRTbtm0bwJKdfmprazl06BCzZs1KWT579my2b9+OZVkAbNmyhUAgwJQpU5JpiouLGTFiBFu2bDmpZT6ZjjXafqLjt2XLFs4777yUKSXmzJlDMBhk9+7dJ+KQBtyJuoJBYhqXlZXVbdnIkSMJh8NEo1Gpo/10rHj2lcSzd5mZmUB8ugLLstixYwcXXHBBSpo5c+ZQVVVFXV0dAFu3bkUplZIuIyODqVOnpsTzTG0fdI5pX0lMhTizyHtZnOw2ozj9LVmyhEsvvbTbVFJSV0TCv/71LwoKCpg+fXqP6090W1+cnhzHIS0tLWXazMQMPkopQD5XRP/JwMwAqqqqSpnHHyAQCJCTk0NVVdUAlerU9u1vf5trrrmGW2+9leeffx7XdQGS8eoaz6FDh2LbdvKLsqqqiuLi4m6/eVBSUkJ1dfVJOIJT04mMXyQSoaGhoVvDt6SkBE3Tzri6vXPnTr785S/zpS99ibvuuqvbb3pITHtXVlZGbm4uaWlpUkdPgM7xTJD62T+u6xKLxdi3bx/Lly/n3HPPpaCggNraWhzH6VY/E88TsaquriYrKyvlhGIiXec4nUntg95imlBTU8PixYtZtGgR3/ve99i4cWPK9hJTIc4s8l4WPfmw2ozi9Pfmm2/y/vvv84UvfKHbOqkrImHPnj2UlpayYsUKbrrpJhYtWsQPf/hD9uzZA3DC2/ri9HTRRRdRWVnJqlWrCIVC1NbW8pe//IWRI0cybtw4QD5XRP/JkGKfZQAAIABJREFULyQOoGAwSCAQ6LY8IyOD9vb2ASjRqSsnJ4eFCxcyevRoNE1j06ZNLF26lMbGRm688UaCwSBAt3gmnifiGQwGU36ouXO6MznmJzJ+oVCox7xM08Tr9Z5RcZ4wYQJz585lyJAhNDU18eKLL/LjH/+Ye+65hzFjxgAS096UlZWxbt06rr/+ekDq6AfVNZ4g9fN43HzzzTQ2NgIwbdo0vvGNbwBH6l/XWHWtn+3t7T1+73f9DjqT2ge9xRTiV0CPGjWK0tJSgsEgq1ev5mc/+xm333578kpEiakQZxZ5L4uuPsw2ozi9RaNRnnrqKRYtWtTjay11RSQ0Nzezb98+KioquOmmm/B6vTz//PPce++9/OpXvzrhbX1xeho/fjzf+c53+NWvfsUTTzwBwIgRI/j+97+fnFFFPldEf8nAjDgtTJs2jWnTpiWfT506Fa/Xy0svvcTVV189gCUToncLFy5MeT5jxgy+/e1vs2LFCu64444BKtWpr6GhgYcffphJkyZx+eWXD3RxTnu9xVPqZ//dcccdRKNRKioqeO6553jwwQf54Q9/ONDFOq31FlNd17niiitS0p577rn88Ic/ZNmyZd2mkhBCCHHmkTajOJoVK1aQk5PDvHnzBroo4hSnlCISiXD77bczfPhwAMaMGcMtt9zC3/72N6ZOnTrAJRSngvLych555BEuvvhiZsyYQXt7OytWrOCBBx7gRz/6EV6vd6CLKE5DMpXZAAoEAskrjTtrb2/vduuj6G7WrFm4rsuBAweSo89d45kYrU7Es7eYB4PBMzrmJzJ+iVH/ruls2yYWi53Rcfb7/UyfPp19+/Yll0lMUwWDQX7yk5+QmZnJt7/97eSVJ1JHj09v8eyJ1M9jGz58OGPGjOHiiy/mu9/9Lu+++y4bN25MHuOx6mdGRkafvoPOpPZBbzHtia7rnH/++VRVVRGLxQCJqRBnGnkvi4ST0WYUp6/6+nr+7//+jwULFhAKhQgGg0QiESA+DW8kEpG6IpICgQCZmZnJQRmIv/4jRoygoqLihLf1xenpySefZOLEiVx//fVMmjSJCy64gP/+7/9m//79vPbaa4B8B4n+k4GZAdTTPJOhUIjm5uZu8xGKo0vEq2s8q6qqME2TwsLCZLrq6urkD3N1Ttf19xHOJCcyfn6/n7y8vG55JbaTup1KYnpELBbjgQceIBQK8f3vfz/l1l6po/13tHj2lcSzd8OHD8cwDGpqaigsLMQwjG7zASdikohVcXExLS0t3W5P7/qbCWdq+6BzTPtKYirEmUXeywJOXptRnL7q6uqwbZsHHniAr371q3z1q1/lwQcfBOCee+7hxz/+sdQVkTR06NBe11mWdcLb+uL0VFlZyYgRI1KW5eXlkZmZmey/yOeK6C8ZmBlA06ZNY/v27cmRU4ANGzagaRpTpkwZwJKdHtavX4+u64wcOZLCwkKGDBnChg0buqWZPHkyphmftW/69OkEg0G2b9+eTFNdXc2BAweYPn36SS3/qeREx2/69Ols2rQJ27ZT8goEAowdO/ZDPppTVyQSYfPmzYwaNSq5TGIa5zgOv/jFL6iqquLOO+8kNzc3Zb3U0f45Vjx7IvWzf/bs2YPjOBQUFODxeJg0aRJvvvlmSpr169dTUlKS/DH7qVOnomka//73v5Np2tvb2bZtW0o8z9T2QeeY9sR1XTZs2EBpaWlyqgCJqRBnFnkvi5PdZhSnpxEjRnDXXXelPBYvXgzA1772NW688UapKyLpnHPOoa2tjQMHDiSXtbW1sX//fs4666wT3tYXp6fBgwezf//+lGX19fW0tbUl64B8roj+Mu6+++67B7oQZ6rS0lLWrFnDtm3bGDRoELt27eKPf/wj8+bNY86cOQNdvFPKfffdR2NjI6FQiEOHDvHiiy+yatUqLr/88uQ885mZmSxfvjw54rxy5Urefvttbr75ZvLy8oD4aPbu3btZs2YNeXl51NbW8vjjj5OTk8NXvvKVo07zczqLRqNs2rSJyspKtm/fTlNTE/n5+VRWVpKVlYXP5zuh8SspKeHFF1/k4MGDZGVlsWnTJp599lkWLFjA+PHjBywOJ9KxYrpv3z6WLFmCZVkEg0HKy8v57W9/S11dHbfcckuyEykxjXv88cdZv3491157LVlZWTQ0NCQfWVlZGIYhdbQfjhXP3bt3S/3sh5/97GfU1NQQCoVoaGjgrbfe4sknn6SwsJDFixej6zoFBQWsWLGC5uZmfD4fa9euZdWqVdx4442UlpYC8WnfGhsbefnll8nOzqa1tZUlS5YQjUa5+eab8Xg8wJnRPjhWTBsaGvjpT3+KZVmEQiH279/Pk08+ye7du/na176WvBpNYirEmUXey+JktxnF6cnr9VJQUJDysCyLV199lQULFiQvRJK6IiB+p8uWLVt49dVXycnJoba2lt/97neEw2Fuvvlm/H7/CW3ri9OT67q8/PLLtLe3YxgG7733Ho8//jgAN910Ez6fD5DPFdE/mup635Q4qSorK3nyyScpLy8nLS2NuXPnsmjRouQoqoh78skneeedd2hoaEApxZAhQ5g/fz6XX345mqYl061Zs4YXXniBw4cPU1xczKJFizjnnHNS8gqFQjz11FNs3LgRx3GYMmUKN9xwQ5+uKD9d1dXVceutt/a47q677mLixInAiY1feXk5f/jDHzhw4ABZWVlcdtllXHnllSmv1+nsWDHNy8vjiSee4ODBg7S1teH3+xkzZgwLFixg9OjRKeklpnDLLbdQX1/f47pHHnkkeQWK1NG+OVY8XdeV+tkPL7zwAuvXr6e2thbXdSkoKGDmzJl85jOfSZk+ZdOmTSxdupTq6mry8/O56qqrmD9/fkpelmXxl7/8hddff51wOMzYsWO54YYbuk1v8FFvHxwrpu3t7Tz22GPs37+flpYWTNNk1KhRXHnllUybNi0lL4mpEGcWeS+f2QaizSg+Gt59913uuece7r///pQ7xKWuCIDW1laeeuop3n77bWzbZvz48SxevDhlmrMT2dYXpx+lFKtXr2b16tXU1NSQlpbGmDFjWLRoUbfXVz5XRF/JwIwQQgghhBBCCCGEEEIIIcRJIvdGCSGEEEIIIYQQQgghhBBCnCQyMCOEEEIIIYQQQgghhBBCCHGSyMCMEEIIIYQQQgghhBBCCCHESSIDM0IIIYQQQgghhBBCCCGEECeJDMwIIYQQQgghhBBCCCGEEEKcJDIwI4QQQgghhBBCCCGEEEIIcZLIwIwQQgghhBBCCCGEEEIIIcRJIgMzQgghhBBCCCGEEEIIIYQQJ4kMzAghxCnu7rvv5u677x7oYpz2brnlFh599NGBLoYQQgghhBAfOdJniaurq2PhwoWsXbt2oIty2nr00Ue55ZZbBroYQgjxoZOBGSGEEOI09cYbb/DSSy8NdDGEEEIIIYQQQvSivLycZ555hmAwONBFEUKcQsyBLoAQQoij+8EPfjDQRRCnqDfeeIOKigo+9alPDXRRhBBCCCHEGUz6LHGDBw/mT3/6E6Ypp9vEEeXl5SxfvpyLLrqIQCAw0MURQpwi5I4ZIYQ4gSKRyAnP0zRNadj3wYcReyGEEEIIIT5qpM/y4dE0Da/Xi67L6bbexGIxXNcd6GIIIcSAk29NIYQ4Ts888wzLly/nF7/4BStWrOCdd95h8ODBPPTQQ7z22mu89NJLVFZW4vV6mTp1Ktdddx35+fkAPPHEE6xdu5bf/e53+Hy+lHx/+ctf8u677/Kb3/wGXdeTczV3nrPZsiyef/55Xn/9dRoaGsjOzmbOnDlcc801eDweAH72s59RX1/Pgw8+mNzugQceYPPmzfzXf/0X5557LgB79uzhzjvv5I477mD69OnYtp2St8/no6SkhAULFjBlypRjxkUpxU033cTcuXNZvHgxAK7rcsMNNxAOh1myZEnyKqEXXniBpUuX8vvf/x6/3w/Ajh07eOaZZ9i/fz+GYTBhwgS++MUvMnTo0D7FXinFc889x+rVq2lvb+fss8/mhhtu6M9Lm+K1117jlVdeoaKiAo/Hw7Bhw7j66quZOnVqMs2qVatYtWoVNTU1ZGZmct5557Fo0aKUq6FuueUWJkyY0G2+5K6v77vvvss999zDN7/5TWpqavj73/9OW1sbY8eO5etf/zpFRUXJ9Dt37gRg4cKFQPwKPfkdHSGEEEIIkSB9lt6tXbuWxx57jEceeYSCgoLk8kR7/K677mLixInJ42pra+Nb3/oWTzzxBHv27CEQCHDFFVdw5ZVXJretq6vj1ltv5eabb+aiiy5KLt+4cSPLli2jpqaGoqIirrnmGt566y127tyZbL/3tN+j5VlVVcXSpUvZsWMHsViM0tJSvvCFLyRj1hfHG3+A2tpann76abZv345lWQwfPpzPf/7zzJgxo1ssb7vtNioqKvjXv/5Fc3Nzsk/YU1yO1549e1i+fDm7d+/Gtm0KCwuZP38+V1xxRTJNX/qajz76aMrrkpB4Lz3zzDPJZQsXLuSyyy5j8uTJLFu2jEOHDlFUVMT111/PtGnTUrYDuPXWW5Pbdq13QogzjwzhCyHEB/SLX/yCaDTKokWLuPjii3nuued49NFHGTJkCIsXL+ZTn/oU27dv56677krOKTt79myi0SibN29OySsajfL2229zwQUX9HqVleu6PPTQQ7z44oucc8453HDDDZx33nm89NJLPPzww8l048aN48CBA4RCISA+YFJeXo6maezatSuZbteuXWiaxtixYwF49tlnWb58ORMnTuSGG27g6quvJj8/n3379vUpHom8Ou/j/fffT5ajvLw8ubysrIyRI0cmB2W2bdvGfffdR0tLCwsWLODTn/405eXl/PCHP6Suru6YsQdYtmwZy5YtY/jw4Vx33XUUFBRw7733HteVgc8++yyPPPIIpmmycOFCFixYQF5eHjt27EimeeaZZ3jiiScYNGgQ119/Peeffz7/+Mc/uPfee7Ftu9/7TFi5ciUbN27kM5/5DFdddRV79uzhV7/6VXL91VdfzYgRI8jMzOTWW2/l1ltvTQ6ECSGEEEII0Zn0WT649vZ27rvvPoYPH871119PSUkJTz/9NFu2bDnqdlu3buXnP/85AIsWLeK8887jscce+0Blraio4M4776SqqoqrrrqKL3/5y/h8Pn7605+ycePGPudzvPFvbm7mBz/4AVu3buWyyy7j2muvJRaL8eCDD/a4/xUrVrB582Y+85nPsGjRIkzTPKFx2bZtG3fddReVlZVcfvnlfPnLX2bixIm8/fbbKWn609fsq7KyMp544glmz57Nddddh2VZ/PznP6etrQ2A888/nzlz5gCwePHiZN8tKyvruPcphPhokDtmhBDiAxo+fDi33XYbAPX19fznf/4n11xzDVdffXUyzcyZM/ne977HqlWruPrqqxk3bhy5ubmsX7+eWbNmJdNt3ryZaDTK7Nmze93fG2+8wbZt27jnnnsYN25ccnlpaSmPP/445eXljB07lvHjxycb1tOnT6eiooJgMMgFF1xAWVlZcruysjJGjBhBenp6sgzTp0/nP/7jP447JuPGjePPf/4z4XCYtLQ0du3axeDBg8nOzmbXrl3MmDED13UpLy9PuerrT3/6ExkZGdx3331kZGQAcN555/Ff//VfPPPMMylXGEFq7AFaW1v561//yowZM/je976HpmkA/OUvf+H555/v1zHU1NSwfPlyZs6cye23357S6VRKJff3wgsvMHXqVO64445kmuLiYpYsWcLrr7/OvHnz+rXfhFgsxk9/+tPklBCBQIDf//73vP/++wwbNowpU6aQm5tLMBhk7ty5x7UPIYQQQghxZpA+ywfX1NTErbfemmx7z58/n5tvvpk1a9Yk7yLpydNPP01OTg4//vGPk+WfMGEC9957L4MHDz6usvz+978nPz+f+++/P3n30WWXXcb//M//8PTTTzNz5sw+5XO88X/hhRdoaWnhRz/6UfL1veSSS/jOd77DU089xbnnnpvSf7IsiwceeACv13vC4+K6Lr/97W8ZNGgQDz30UMqsBYl+G/S/r9lXVVVV/OIXv0jObDBx4kS++93vsm7dOj75yU8yfPhwRo4cybp16zjvvPPkLhkhRJLcMSOEEB/QpZdemvz/v//9b5RSzJ49m9bW1uQjJyeHoqIi3n33XSB+V8kFF1zAli1bUu7kWL9+Pbm5uSmdl67efPNNhg4dSnFxcco+Jk2aBJDcR+JOlMSVTrt27SIvL48LL7yQffv2EY1GUUpRVlaWsr9AIEBFRQWHDh067piMHz8+OfCS2Pe4ceMYN25csoGfaPSPHz8eiHd0Dhw4wIUXXphsKEO8EzllypQer0TrHHuIXwVl2zaf/OQnk4MyAJ/61Kf6fQwbN25EKcUXvvCFblcCJvJO7O+KK65ISXPJJZeQlpbW7erC/pg3b17KPN2JOH2Qq7mEEEIIIcSZSfosH5zf7+fjH/948rlpmowePfqo7fPOfZzE4APAlClTUqbP6o/29nZ27NjBrFmzCIfDydi2tbUxdepUDh06RGNjY5/yOt74b9myhdGjR6cs8/v9XHLJJdTX11NZWZmynwsvvDBlUOZExmX//v3U1dVxxRVXpAzKwJF+2/H0Nftq8uTJyUGZRJ5paWnU1tYed55CiDOD3DEjhBAfUOcrXmpqalBK8Y1vfKPHtJ1PtM+ePZuXX36ZTZs28bGPfYxIJMKWLVu45JJLUgYVujp06BBVVVXcdNNNPa5vaWkBQNd1xowZk9LITgyOuK7Lnj17yM7Opr29PXnSH+Lz5P70pz/ltttuo7S0lGnTpjF37lyGDx/e55iMHDkSn89HWVkZ06ZNo6ysjIULF5KTk8Pf/vY3YrFYslyJxnx9fT0Qv9ukq5KSErZu3UokEklOewZ0u9ro8OHDAAwZMiRleVZWVrdG+rHU1taiadpROwaJ/XUts2maFBYWJtcfj8Tc3gmJ8re3tx93nkIIIYQQ4swkfZYPLi8vr9sxBwIBDh482Os2iT5O5xP3CcXFxezfv7/f5Ui8fokpnHvS0tJCbm7uMfM63vgfPnyYs88+u1t+JSUlyfXDhg1LLu/abzuRcUkMgJSWlvaa5nj6mn3Vtd8GkJGRkZwSUAgheiMDM0II8QF1vvLHdV00TUuZ1qqzzg29MWPGMHjwYNavX8/HPvYxNm3aRCwWO+qUABC/HXvYsGFcf/31Pa7v3DAcN24czz33HLFYjLKyMq6++moCgQDDhg1j165dZGdnJ9MlTJgwgf/93//lrbfeYuvWraxZs4aXXnqJr33ta8nfcTmWxNVju3btoqamhubmZsaNG0dOTg6O47B3717KysooKSn5QHPrdo796cp13R7rSm/zdQshhBBCCNFf0mfpO9d1e1z+YbfPexvo6lqexPPPfOYzTJ06tcdtehrw6M3xxL+/Tqd+W19fh4Te6kXnadSEEKInMjAjhBAnUFFREUopCgoKerwap6tZs2bxyiuvEAqFWL9+PYMHD2bMmDFH3aawsJCDBw8yefLko16lBvHGs23brFu3jsbGxmRjevz48ZSVlZGdnc2QIUPIyclJ2S4jI4N58+Yxb948IpEId911F88++2y/Ojnjx49n5cqVbNu2jczMTEpKSpJ3oOzatYtdu3ZxzjnnJNMn5hGurq7ulld1dTWZmZnHvIIp0cE7dOgQhYWFyeWtra39vmKpsLAQpRSVlZWMGDHiqPurrq5O2Z9t29TV1TF58uTkst6umqqvr0/ZVgghhBBCiA+T9FmObA8kf/g+IXF3xYmQ6OPU1NR0W9e135O4Q75rn6HrXfiJvoNhGEyZMuUDl/F44p+fn99jv62qqiq5/mj6E5djScSjoqKi13j0p68ZCAR67Ld9kNkQjvUeEEKcmeRyXCGEOIFmzpyJrussX7682xUySina2tpSls2ePRvLsnj11VfZunVryo9q9mbWrFk0Njbyz3/+s9u6WCyWMv/z2WefjWEYrFy5koyMjOTt3ePGjWP37t3s3Lkz5ZZ0oFsZ/X4/hYWFWJZ1zLJ1Nm7cOCzL4uWXX2bcuHHJxuj48eN57bXXaGpqSrnqatCgQYwYMYJXX301pSH8/vvvs3Xr1qP+oGbClClTMAyDv/3tbynxf+mll/pVdoi/lpqmsXz58m5XRyXynjJlCqZp8sorr6Tsb82aNYRCIWbMmJFcVlhYyJ49e7BtO7ns7bffpqGhod9lS/D7/d06kkIIIYQQQhyN9FniEif0d+7cmVzmum6PZT5enfs4ndvt27Zt6/Y7LIMHD0bX9eS0YgmrVq1KeZ6dnc3EiRP5xz/+QVNTU7d9tra29quMxxP/6dOns3fvXnbv3p1cFolE+Oc//8ngwYOP+Tsx/YnLsYwcOZKCggJefvnlbgMqifrdn75mYWEhoVAoZYq6pqYmNm7c2K9ydebz+YDug4BCiDOb3DEjhBAnUFFREddeey1//vOfqa+v57zzzsPv91NXV8dbb73FxRdfzGc/+9lk+rPOOouioiKWLl2KZVnHnBIAYO7cuWzYsIHHH3+c/8/e/QdZWd154n/f7qblR8sAyy8BBSXyjQFdLIkjmBqFDLulpaM9lgadVKhdXVPlVn5U0GQTQ/mjYuJEKls7jlvJxDGl41QUg4qYlMisk+yUgBkncRiz62DGdSY2BjGopBulf9z7/QO6pWloaYn3Prf79fqn7z3P89x77jneFDfv53PO888/37f+b1tbW7Zs2ZIbb7wxc+fOTbL/H4CnnHJKXnzxxZx11ll94chHPvKR7Nu3L/v27RtQkv6FL3whH/nIR3LKKaekpaUl//Iv/5Jnnnkm//E//schjcW8efPS2NiYHTt25A//8A/72k877bQ8+eSTfY8P9slPfjLf+MY38tWvfjVLly5NZ2dnnnjiiYwdOzZXXHHFe77n+PHjc/HFF+fRRx/N7bffnjPPPDMvv/xyfv7zn+f4448fUv+nT5+eP/7jP866dety00035eyzz86oUaPyy1/+MpMmTcpVV12V8ePH59JLL80PfvCDfP3rX89ZZ52VHTt25Mknn8zcuXP7bQ66bNmybN26NbfddlsWL16cnTt35u/+7u+OqVrmlFNOyebNm3Pvvfdm7ty5GT16dBYtWvS+Xw8AgOHPb5b9TjzxxJx66qn5/ve/n/b29rS0tGTz5s3p6ek56tc4GldddVW+8Y1vZPXq1Vm6dGna29vzxBNP5MQTT+wXUI0dOzbnnHNOnnjiiZRKpUybNi0/+9nP+vbjOdjVV1+d1atX5/rrr8/HP/7xTJ06NW+99Va2b9+e3bt354477jjq/r2f8b/00kvz9NNP5+tf/3ouuOCCtLS05Cc/+Ulee+21rFq16qiWfTvacXkvDQ0Nueaaa/Knf/qn+eIXv5jzzz8/EydOTFtbW1555ZXceOONSY7+t+a5556bv/7rv86aNWtywQUXZN++fXnyySdzwgknvK89gZL936Ek+f73v59zzz03jY2NOeuss97XnjbA8CGYAfgdu/TSS3PCCSfkhz/8YR566KEk+0u5zzjjjMP+n+ZLlizJww8/nOnTp/f9g20wDQ0NueGGG/LDH/4w//t//+/8/d//fZqbmzNt2rRceOGFAza+P+200/Liiy/2+8f0hAkTMn369Pz6178eEI5ccMEFefbZZ7Nt27Z0dXVlypQp+cQnPtHvx9nRGD16dObMmZN/+Zd/6ffeve/37/7dv+srKe91xhln5Ctf+UrWrl2btWvXprGxMR/5yEfyJ3/yJwM2jDySFStWpLm5OZs2bcovfvGLnHrqqfnqV7+a22+/fUj9T5JPfOITmTp1ap544ok88MADaW5uzuzZs/MHf/AHfedcccUVGT9+fDZu3Jh77703LS0t+cM//MNceeWV/TZOXbhwYT71qU/l8ccfz7333ptTTjkl/+2//bfcd999Q+5Xr//wH/5DXn755fz4xz/OD3/4w0yZMkUwAwDAe/KbZb/Pfvaz+Yu/+IusX78+Y8eOzbJlyzJ//vx87WtfG9LrDGbhwoX5whe+kAceeCDf//73M23atFx33XX5+7//+37VOknyn//zf05PT082bdqUpqamLF68OJ/85Ce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6asV7dUtne7VDrGuRaIPWrf8d5fM36+CBrYoX96gpXlCTXlfm2Bt6fk+3WrrepWuvWibbfmfP1QMAAGofiZka8aEPfUjf/e53NTg4qO3/uU3z7+gsV8y4s1wxc66GZINuueNWxVob9fyzv9XB/9ijoeFhrfyjDbLdMBHz25Mvqz83pE3Lf1dzogk1OPGqxgwAAN4Z/MDXa4P7tbJlmRpcXn8AmF1B4On48b0a6dut9ugpdTqSHGk4G9Ogf41WrbpJVzUnqx3m20os1qA1a+9Q4L9fBw/tVHFkp9oaRrWs+biUO65dL81R1l6upUuv0/y5bdUOFwAA4IJIzNSIaDSqe+65R9/97nfV+x+HdPA9xxQUS63MqjypYTHwNJwd0aIVi/WxZZ/U5u//WAM7etVTjOkT939aJiq9euY17Rk8oOH0iD67+uNqmMMbIwAAoPKeOvyMnjv5iq5qWqw/X/8Z2ZZd7ZAAvM0ZY9Tff0I9x1/THB1WY7SgztLlz6lUs/z4Gq1e9y6tikeqG+jbSCbvK5PzJy1rjDtaufLdMuYGnT51RGd6X1ZbpFddyTFJOxSc2qGXDnQoaFihpUtWa157U3WCBwAAuICKvePf09Ojxx57TPv371c8Htdtt92mu++++7LVH8YYPf3009qyZYtGR0e1dOlS3XvvvVq5cuWk9QYHB/XYY49p165dchxHN910kz772c+qsbGxUnep4j75yU/qvz36PaV7RnT4tYOSCZdXu2LmbLfd8gEt6F6g7//f/1XHXn9T/+2L35YTcZXP5pTPF6TA6On4D/Wh3/2Q/uBjf6BVa1Zr3/Bhvdr3mobzo9rQsVo3dl2nuMsEjQAA4K3ZM3hAz518RZJ0ePSYfnniBX1w0S1VjurCDhw4oGPHjunOO++UZdFiB9NT6WsrXF4QeOrtPayBM/vUqBNKRnPqioY/SxUiOp1brLnzr9f1axbxGK+ATM7XnqPDk5atXtKixpgjy7I0b/4yzZu/TLlsSm++uVNBZr/a4sNa1NwvqV9ez1a9sq9FRXexOuau0NKF3Yq4JPIBAED1OA8++OCDM73TVCqlr33ta2psbNTnPvc5XX311Xrqqac0NDSkd73rXZfc9umnn9YTTzyhT3ziE9q4caN6enr0ox/9SDfffLOSybAE3PM8feMb31AqldJ9992n66+/Xs8884z27dun97///W8p9kwmoyAI3tI+rlQikVDfUJ/27H5duf60CiM5SdLaG9df9sV9PBJXe1u7es/0TulY01k/Hokr5+UlSVctXKaWlhZds/Za7X51l9JjaeWzefmeX04kBV6g/fv266c//an+ZfMTeqV3p/o0or6BPu148zX9/LVf6+CRQ/JTRXV3LZBt84L4SjiOo0QiUdVzFvWD8wXTwfmCqar0uXIyfUZHx3rU2dB23muhVCGt//raP6sQFLUoOV+jhZQOjRzV6rYVao7OmfFY3orf/OY3+vM//3M988wz6uvr0y233FITr3/Gxw+1rdLXVldiph/ztfh3Jwh8DQyc1OHDO9Vz5AXl+36taHGfEs6goo6ngm+rNzVX2di7ddW1H9byZavV3tpc10kZx3HkeXn19Z+WMaa8fE5jRNHIxHOWG2uRZc9uh4RM3ldf6fp4XGdLXI3xyXOcupGoOjsXa+6CDQqiy3VqOJBfTCvuFtUUy6klclrRwh6dOLZTB948opN9Q8oWLCUaE3Kd2nlerqXHwjsNY1B9jEH1MQbVxxhU39ljIKki100VKcX4+c9/rkwmoy9/+cvlF/xBEOjRRx/Vpk2b1NZ24T6vhUJBTz31lDZu3KiNGzdKklatWqUvfvGL2rx5s+677z5J0tatW3XixAl9+9vf1oIFCySFv5yHH35YBw8e1NVXX12JuzUrvvRnX9ST//KEUsfCTwPZjl0TF+7jcpmsXt4dfjL19z71+xoZGJYTceS6rtyIK69JOh6c0emXjql/Z68yp8d0ZPMeHdm8Z9J+XpH03yXFmxp01buv0XW3bNC1a1erpaFJS+Ys0IJEV11f1AAAgEvzAk+O5Vz07/0LJ7fpR4f+Xb4JdH3Hat2z8qOKOeHH040x+v8O/pvGimnNa+zU/37dn+if9j6lXQN79fjen+j+Dfcp6sxOC6EjR44onU5rzZo1F/z5M888o2984xvy/bAFz09+8hNls1k9+OCDNVUVjdpV6WsrhM8pY6ODOt3Xq/TYaZniGbVEBxR3PbVLUqkpQ7oQ0ZnsPDU0X62rr75WSxK0b65lzS1z1dzyu5KksdF+HT/+hvzMEbXGBtTWmFNb4wlJJ6TUyzrxWkT9mRZ5dpuiDR1qa52nzs4uNTVGuS4FAAAVUZGrwR07dmjdunWTPoX1vve9T9/73ve0a9cu3X777Rfcbv/+/cpms7r55psnAnRd3XjjjXrppZcm7X/x4sXlpIwkrV+/XslkUtu2bavrxMzSpUu16sa1euPF1yRJTrR2L9gj0Yg65ndOXuhL61quUfvHO2X9zgYNvtqrkcMD6jl+Qm4kokjElRVxFDhGmZG0cqNZ7fnlDu355Q5F5sTUfHWH/IInk/Fl54wKqbwCP9DKlSu1ctU1uvraFVqycpnmzevS3MYOubZz4eAuwfd9Oc70twMAAJc3mBtWf3ZIS5sWXjA5MpIf07PH/1PPn9qmrsZ2fWjxbVrXfk35jS8v8PTjQ1v0wqlt5W129O/R6Uy/Pr/6k+poaNOLp3fotYH9cixHn7nmDxSxXf3hio/oyNgJnc72a/ORX+gTyz90xffB933t3r1bkrRu3boLvm44ceKE/v7v/15btmyRMUY33XSTvvCFL2j16tXldZ5++mk9/PDDMsbowx/+sG655RZ985vf1JYtW5TL5fTwww8rFqO9Ky6t0tdW7xRBECidyWhwuE9jo4PK54YVFEcU1aiaYmOKu56SkpIRSaWnrrznqC/TosCdr7aOpVpyzTJdXeX5P9+RgrxidlrzmguTFsfslAIvfH627bhkX/z5dE5Th1avuVXSrfK9nE6dOqzBgWOyiqfVHB1WIlpUItonqU/SPikljY5YOpxpVNZLyLOSst0mxRpalJzTpuZks5KJRiUbIrJtEjcAAGD6KvKqsqenR3fcccekZYlEQi0tLerp6bnkdpImJVwkqbu7W/39/SoUCopGo+rp6VF3d/ekdSzLUnd3t3p7p9bKq5Z95rOf0f/14lckSU6k/hIIc/JxdQ2H5V1zV1yj93z83eUqm7Pl7aJ6T55U36GTOrHvmIpjefVvv/D5sWPHDu3YsaN824m74Rs4gZEJJBMEkpGijTFFG6NyGqNy4o6i8ZiCnK9ipqBCKqdsKiuvUFTL3DZ1LZ6nuUvmafGyJVp99bVqtpMqpPIaGhrS8PCwRkdH1ZBoUKy5QQ3NCXV1ztWCzvlKuA0yvlE+n1cun1Mqm5aJSE48ojlz5qgt2aJEtFFROyLf9zUyOqq+4X6dGeqT5wRqbGrUos5udTa2n/eGlTFGqXxaY8W0EtFGzYkmzpvE2BijVDGt4cyYzpghOTkp4TTKuchkx8aYy37KyxijQqEgY4zicT75BwBXwhgj3/hy7Yu/vApMoIyXU8R2y9Uf5/IDX6OFlIqBp+bYnAuu5wWeBnMjGimMKRFpUHu89bz18n5BfdkBnc4MyCjQ3IYOzW1onzTPW9bL6UTqlE6kTmkgN6TOhnYtSs5Xd7KrvL90MatDI0e1b/CQDo+dUNSJaGXLUq1oWaaVbcskhW3FXj65Sy+f2qWDZ96UE3PVEItrXfs1uqFzrVa2XqVMMaNnjz+v/zz5irJjGRVTBWXiKX1/9H9oUfMCfXjJ7epOdOkHb/xIR8d6FOQ9vSe+Ro2ZiH7V95KONB3VX+ce1X+56oP6yeFnJEkfWnSriv05/eLFX+jIkSNqlatj5ox+MfpbrWq9Wqvbwg/rDA4OateuXdq5c6def/11RaNRrV+/XuvXr9fatWuVTCbl+762b9+uZ599Vr/61a80ODgoSWpra9Mdd9yhD37wg9qwYYMGBwf1/e9/Xz/5yU/KVTCO4+jFF1/Uiy++qDvuuEN/+qd/qq1bt+pb3/qWJOnjH/+4vvKVr8i2bSUSCX3lK1/Rr3/9a91///165JFH1NDQcPkTDO9Ylb62qjfFYkG5XE6FQk6FYl6FYk5eIS/PC78KxZx8r6DAz8s2GUWsnGJOXg2RvKJOoKgUVsFES18lfmBpKJtQJmiRE+1US/tiLVqwSEujs1N993aRyfvK5PxJyxrjjhpjV35dGwQ5ZUePKjOSmbQ86zbKKYb7jTctkX2JxMzZHDeu7oWr1b0wTKSbwNPgYK/6+o6pkO2XEwxqTmRMESfQvDlpSWlJZ866k+HXiG+ppxBVphhVwY/LWFFZdkSyo7LsqCwnKseJynFiciMxRSJxuW5UjuPKddyw64QbkeM4ijiOIhFHlu1MaiMHAADeviqSmEmn0xfsu5ZMJpVKpS65XSQSOe8CIZlMhm9Gp1Jqa2tTOp1WY2PjedsnEolL7n8qYrFY1dpKjH8a82N3bNRPf2+zUj3DamhJaOH8hZfdtimaUFtL65TWne76TdGEkoWwV/tUtjl7/ctts7xrmZpuTGg4N6bB0/0aG0lp2ZKlKsR8ZSMFpWN5FfyismfGlDk5psypMWX7UjLBFF+segrP8qbS19ly0tC+Mxrad0Y79fLU9jcFlmPJiboKvEBB0b/wSrYltyGiWGNMju3Iy3sqFgryC54CLyjvx3Yc2RFHjuvItmwFgS8/CMqJKNmWnIgty3UVibrhp26NUbFQlFcoyit68ovh/D+O68h2XLml/RkTqJjzVMwX5BU8GT88rhNxFWmIKt4Yk9sQk+VaKuaL8kpfftGX8QO5sYiisagisYicqCPLteV7vryiL+P7CjwjExi5ji3bdWTZlizHkpHK66m8XiAnErbDsyK2LNeW5Vjyip4Cz5fxjIwXyHhGjuvIidiS68hyJeOECbpwx5KMkQKFn1yzLVm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" ] }, "metadata": { "tags": [] } }, { "output_type": "stream", "text": [ " Added 9 summary columns for counts of words and characters in each row\n", " Cleaning text in reviews before doing transformation...\n", "Train and Test data Text cleaning completed. Time taken = 337 seconds\n", " A U T O - N L P P R O C E S S I N G O N N L P C O L U M N = reviews \n", "#################################################################################\n", "Generating new features for NLP column = reviews using NLP Transformers\n", " Cleaning text in reviews before doing transformation...\n", " However max_features limit = 4846 will limit numerous features from being generated\n", "\n", "#### Optimizing Count Vectorizer with best max_df=0.50, 1-3 n-grams and high features...\n", " balanced_accuracy Metrics for 4846 features = 0.7589\n", "\n", "#### Using Count Vectorizer with limited max_features and a min_df=2 with n_gram (1-5)\n", " balanced_accuracy Metrics for 4846 features = 0.7677\n", "\n", "# Using TFIDF vectorizer with min_df=2, ngram (1,3) and very high max_features\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "aZ6DDWuExZli", "colab_type": "code", "colab": {} }, "source": [ "nlp_transformer" ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "svsToSQr4y6B", "colab_type": "code", "colab": {} }, "source": [ "nlp_transformer.predict(test[nlp_column])" ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "uYFdvCdi48cc", "colab_type": "code", "colab": {} }, "source": [ "nlp_transformer." ], "execution_count": 0, "outputs": [] } ] }