{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Adding New Anomaly Detection Models\n", "\n", "This notebook provides a minimal example on how to add a new anomaly detection model to Merlion. We follow the instructions in [CONTRIBUTING.md](https://github.com/salesforce/Merlion/blob/main/CONTRIBUTING.md). We suggest you review this [notebook](1_AnomalyFeatures.ipynb) explaining how to use a Merlion anomaly detection model before reading this notebook.\n", "\n", "More specifically, let's implement an anomaly detection model whose anomaly score is just equal to the value of the time series metric (after mean and variance normalization). By default, we want the model to fire an alarm when the value of the time series metric is more than 3 standard deviations away from the mean value.\n", "\n", "Note that this is already implemented [here](https://github.com/salesforce/Merlion/blob/main/merlion/models/anomaly/stat_threshold.py) as the `StatThreshold` algorithm. For a more complete example, see our implementation of [Isolation Forest](https://github.com/salesforce/Merlion/blob/main/merlion/models/anomaly/isolation_forest.py)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Config Class\n", "\n", "The first step of creating a new model is defining an appropriate config class, which inherits from `DetectorConfig`:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from merlion.models.anomaly.base import DetectorConfig\n", "from merlion.post_process.threshold import Threshold\n", "from merlion.transform.normalize import MeanVarNormalize\n", "\n", "class StatThresholdConfig(DetectorConfig):\n", " # If the transform argument is not provided when initializing the config,\n", " # we will pre-process the input by normalizing it to be zero mean (but\n", " # not unit variance!)\n", " _default_transform = MeanVarNormalize(normalize_scale=False)\n", "\n", " # When you call model.get_anomaly_label(), you will transform the model's\n", " # raw anomaly scores (returned by model.get_anomaly_score() into z-scores,\n", " # and you will apply a thresholding rule to suppress all anomaly scores\n", " # with magnitude smaller than the threshold. Here, we only wish to report\n", " # 3-sigma events.\n", " _default_threshold = Threshold(alm_threshold=3.0)\n", "\n", " def __init__(self, **kwargs):\n", " \"\"\"\n", " Provide model-specific config parameters here, with kwargs to capture any\n", " general-purpose arguments used by the base class. For DetectorConfig,\n", " these are transform and post_rule.\n", " \n", " We include the initializer here for clarity. In this case, it may be\n", " excluded, as it only calls the superclass initializer.\n", " \"\"\"\n", " super().__init__(**kwargs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Class\n", "\n", "Next, we define the model itself, which must inherit from the `DetectorBase` base class and define all abstract methods. See the API docs for more details." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "\n", "from merlion.evaluate.anomaly import TSADMetric\n", "from merlion.models.anomaly.base import DetectorBase\n", "from merlion.utils import TimeSeries\n", "\n", "\n", "class StatThreshold(DetectorBase):\n", " # The config class for StatThreshold is StatThresholdConfig, defined above\n", " config_class = StatThresholdConfig\n", "\n", " # By default, we would like to train the model's post-rule (i.e. the threshold\n", " # at which we fire an alert) to maximize F1 score\n", " _default_post_rule_train_config = dict(metric=TSADMetric.F1)\n", "\n", " @property\n", " def require_even_sampling(self) -> bool:\n", " \"\"\"\n", " Many models assume the input time series is sampled evenly.\n", " That isn't a necessary assumption for this model, so override the property.\n", " \"\"\"\n", " return False\n", "\n", " @property\n", " def require_univariate(self) -> bool:\n", " \"\"\"\n", " Specify that this model only works for univariate data.\n", " \"\"\"\n", " return True\n", "\n", " def __init__(self, config: StatThresholdConfig):\n", " \"\"\"\n", " Sets the model config and any other local variables. We include the\n", " initializer here for clarity. In this case, it may be excluded, as it\n", " only calls the superclass initializer.\n", " \n", " :param config: model configuration\n", " \"\"\"\n", " super().__init__(config)\n", "\n", " def _train(self, train_data: pd.DataFrame, train_config=None) -> pd.DataFrame:\n", " # Since this model's anomaly scores are just the values of the time\n", " # series metric, there is no model to train.\n", " # In general, you should train your model here, and determine its\n", " # anomaly scores on the training data.\n", " return train_data\n", "\n", " def _get_anomaly_score(self, time_series: pd.DataFrame,\n", " time_series_prev: pd.DataFrame = None) -> pd.DataFrame:\n", " # The time series values (assuming a univariate time series) are the anomaly scores.\n", " return time_series" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Running the Model: A Simple Example\n", "\n", "Let's try running this model on some actual data! This next part assumes you've installed `ts_datasets`. We'll begin by getting a time series from the NAB dataset & visualizing it." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Time series /Users/abhatnagar/Desktop/Merlion_public/data/nab/realKnownCause/ec2_request_latency_system_failure.csv (index 2) has timestamp duplicates. Kept first values.\n", "Time series /Users/abhatnagar/Desktop/Merlion_public/data/nab/realKnownCause/machine_temperature_system_failure.csv (index 3) has timestamp duplicates. Kept first values.\n" ] }, { "data": { "image/png": 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mnG67EKxeqBmP6TedgMMPqMw4l5t7ZuS1Oevwp3cX4ZpnoqHLIcEqjxECy+fbrDv6/LXbsXRTelIS2XLdYEx/oBSspGZ80ZSpsTo8pCSKN/0rnQn49Tnr8K0/+S8bocrKzAG0NzhzTvp7PX7wtzpdYslcEpOEvepBXUJpQ1A4zRV177uLcOur83D1375MbfvjO+m8bVZBB14Z0sNDXSkikgzo0i71umv78ozPnfhPOvUDdeKvlWv+dvURyu3GFD0AcJYiN1Z5aQzHDddH+jdrk0CnijIM6t4er/zw6IzjxKK1ECDBKo8RAstXNs/j2Q9/glP+ki5mbDdBPX1Vdca2ObefhmuPHZx6rzqDfNpTe6QndCEAlrm0of/hvNH2Ozng3QV6jdGaAPxhrlc4csYTPEPgWqGZFbKl7rdDNqP2lyYMr7Uiw8Rphmphhv1osTo/XjaypCfIeb1gkFNnqPIvfb1ePeD+5/pjU6+d5opboNC8Z6OYvRvMTHKqxaSVANmvMp2aRGisyjXzSizGUPebU3T7qwS3fIUEqzym0YESRFWhvcGmEO+JB+lNRqeO7IVYjOEnUtFk1Twidzu5fqEQAMtcpFsA9DW0ooZqELj6mEEZKSWE+jysUGKREdpIFFfKdsx3Yf6VMU5UVx092GRP77w9f0Pg5yTCQX5eVm91vggb3b9z6vUjHyx1dEyTwsk6m1n8nSyoDujWzvLzfpVtcfohyZzgVoLV9ScNS70WglVpLC1ydO/QBoO6tcP4IUm/3kMC1CSP03yFw4IEqzxlp8EjfPlujjHT4xgzPY67F6cf9kWKEFa7cjZyuZOPf3Eiaq+oAgB0rChDwz0TMKA8rtRYyfOXPDaIDPFmpWrMkDth1FDlqbrsyAPw9FV6NXpJjgWrF79chUG3vJmaHIJOTREmt72+wNNxxqirYT07uDr+za/WZy07NhE9nCboF8IFAPTuVAEAqDl+CABgp8OFi9w/f3XWCADBa7fLJKfzEbe9oxyL1jalBcg+2ndR8cmSzeCco1zTalmNL7LfobhkzOCHOv3mE/Hz0w4CAFw2ZSbOfPBjmLG/NY7X56zN0AaqAgVuO3uk6XlyQXRnLsISYxT6+V+mN7y4jqcm1iue+kK33ypDpIgdA7q2y6grx6A2Bcrzlyz3ib7nJvM6gNRKJl+oKCvBkYP1bRaCVbaKoBr5pRYtOfjWt3TbjX5F65qsV+ITHvoYr81ORjkGKZyJIAInGCcAJ+0waqc4577v/XXPzcI5j34KQG/eIAqLqt+/hwsf/wwrNjtLyyGnV3n/598CAHRpl+mTZcVbUl40sZDcEXCqgA9v1pcre2PuWsQTHHe/tTCVKmGi5PQds7AsXP7UTMQ5T0WTW/Wt0f3SGrz3vk5qdFV1GGVha+H6Haaa6fMe/Qw/eWEOLnj8M932pr2Zppuw1+S2RZiJaGKnANnUDHRTbD/eoeP25MmTTT+LMfX15U1ydxMaK7d5SnJdKNiuOHGrzQTdqaIso9yOEKzCLtLbrX0b3fsvVmzFof0rlftyzrFg3Q7c+OIcVLYrw1V//RLXnzgMN51+UA5amsaLQGRMhfH2/A04eqiqJ7iHc65b2ROFxZbdzdiyuxl1Dv2jOrQpxY9PGIrR/TqjQ5vkVFrmcvEom91e09K1/Oa1+Rmabz8Yx92fvjgX73+9CW/OW48lm3bh6auOwG4tlUn3DnrBsHPbsoycUBt37E99T6tSTrJbhNHPVcYox23csQ+jJKFMYObbxhShVG6qfGQD0ljlKXYyx+kzMiclYwexio6qqalBTU2N8rMYgIRCZyVrrOK6rNTJ/25NgdnCLLv8HpvcMzv2Wav3VTUMhY9V2Ca5cYOda//ksVKkKXhkmjOfESvc+nV5EaxWGGpg3vjCHDz9aUPq/Ss/Osr1OQV2ZYqmLsycPLLpiPzEh8vwKuXPChwhJNkxsFt7/OKMEThTioyrdKmxGtojaZYe0bsjvlqT1NR88M0mq0Mcc8YhvQEA3Tq0yfhMVBAQ4xI3MdWZBWXEYgxlJcx1Al9VRnqjwOR2Pb1QIXBV+MiJFQTRmOmInGBMmlZ7RWb0n1NU84W8STYFevWxMnLKwb3sd7Lg6ztOBwCccJA6n5NdtOAuG8FKRUnMXmXulnlrtqN+5TY07WnGxh37TAc/OaFm9UB9qoWnPllh3D2FLBQHKRe4NXGoMlK/NW89NioCMsxojifwkJQAtGqgd/Pyy/XWQsw1z9ThkyWbcdTdU7G/NY5Jf6/LMMkGyT1vf4OfvTTXfkfCFTecPEz3Xk78K9OjY6bAcvahmekHrLhDK2h8oxQYFBRd2pcr2yizV3Nm59roLRaCJx6UTJdw6ZEHKI+LsaRWSC6Tc/7YfrZt2rQzs9Bz0x79uPDQ1KUZCxIrp/uOFZmC8KDu4aY/IcFKwZ/e/Qa3vvpV2M2wRJ5zhnl8hvp0NndSrK2tRW1trfKzGFP7WHGeTlaa4MCX2ziqP4xji7ZI8StYefU96KIlsWtXXoqKspgyhBoAnpnRYH19Ra253haOnqu27EkNVBt3mFeOd8OnSzfj2498ggse/wznPPopjvzDVAz51VtKzYicGdzoN2FVvkL2bRrZN63VFP5RTn2kjKza6s6/TyWM/vifs3DZFH8ZpL1iJoweNzxd3+nyp2Zi/fZ9eGf+BkvzBxEuF0+eoUyZAmS6OfzkhTmOz6tKommF0OKu2OyubzihJZ5I+UKZJQeuX7kNa5v2pqIf12njwsOXjcXPTj0QvzxjhPI4BoayWEznaD9aYb4zokp1coQhgm/O6iYs08qGzVuzHWc88BFG3PaO6TlVGrmwIcFKwaPTlnkuGJwr5HnUq5XJyp9o0qRJmDRpkvKzGMx9vISLQZwDT69KoJUDb2/U5zDxyq8nHOzpuHGDu+KgXknzX2ksphMcZIHkuZnWGZBV9ac2WGhPjv/TtJTq+4f/qHfVZjPkVBkrpUCEvyiyh/9NKr0hBrTLFCtQo7Ak+4O1KQtuiFgm1Vi081cD0maKX5yh9+1a5yHBbTZROSzPcuinY8emHfuwcP0OvGKjLQuSl+vX4P2vC1sonLliK/771XrlZ6pn00kZG0Dv2/O/BZkpOPY0typLM40f0hUXVvV3dA2ntMQTKV+oy8erNU8AcMw9H2Rs69CmFDecPNzUVynBOfbHE7qknk4c91XjiUrjxBjDis278e1HPrE1wcd9ZGzPFiRY5SkzpGzr23OcksgsKpBDL1jN0OaW9zcn/2/yoLWRB5vDpNVOWxeleKZ905hKOxFjeo2MU0dVAFizLXNVebPm0D3SpKSJ0+LOTjEzzT1skzdHrKQ7ty2z3A/Q35+/ftLguG12yKv5WTYFYYG0xqpThb7NZkqB+pWZdd1kBtrk5/GKSkshF3xW5ZJT8cmSzRh0y5spAXT7nhaM+8NUnPngx/j5v3Jn8rvpX3Nx7bPRKA2SbXYr/P5UgSa/fcNZqg95sVrz98zF1Mjb38XI29/N2N67c0XguZda4gmUahqrEw4MtpxV/cptGX6jZ47ubXucquzXgb0yfV5LYwz3/W9RxnaZeIJjX0s89MAgFSRY5SlytvVtkiLlz4ekf9L5e8yFD2NaADfEGHekscr4zEOkhll4u1U0ihFZuCmJMZ3g4KT+3I0vzMa5j36qNGVdMLY/Gu6ZgLd+cpzj9vjB6lu3xBOmPhViwBcOrVbI9ydIwVAeAFUTmhHhY9XJgTAI6J3LjxqSGQn40CWHOzqPW1Th6fLK3KgZbti8W/n935ib9OURhX+NGlIzX7qgIhX3NLfinfl6LU5dw1YMuuVNzF3dhLMf/liptc0ntu9pwdJNaaFXVUblgfeti3KP7tc5K3U3K6TKAm+aaNOcctKfp+OteRtSQn0sxvDadcf4OqeMSotU7sDVQzUHlMQYGu6ZoKslm+DW1Qz2tcQx9FdvYcRt7+CMB8xzX4UFCVZZgnOO1S59SoLgZKmUzFVLzRMhvjjJe3QUgz6dgoBD72NlxG1JGwC47kS9I+lTV1bjkL6dTDvd81+swjcbzGv8lMRiOqHMiRbjtTnrMGd1E05XCCV2ubmCznv0rkWG7zXb9tqa2JwUC/ZTDNUKeRKzc6oF0o61Ru2kqrQGANz/XnpCfG7ikRmfH9LX+ruf88gnuMIkU72MUWhTPQHTF6XL6cg+fdMXbcIJ903HIb/N1Fqkz5c848qt+gjHjTvTmq/lkln1mHs+8JyVXmbk7e/ih//Q+x0J/6JzHv0U89fuyAiAccM789fjzAc/Dq0KAQCc99inOOUv6ZQcKrOcHdxyeaOnuTWBO/7zNbbtbsa0Relov937W/HIB3oBTk44ep2J/5cTnmssT5WykiOZnUY7GrEyI8o4SY9jtbiW3TLemrfe1BcWgKXPVRQgwSpLPP/Fahx37zTMyVLG5r7mPtO2ONFaWMFgbpISckar4nMnKxojwswiHIRPPrgXThrRMyUcfbZ0s07rdOur8yxXMJt37cc7knBiNDNZoZoQuts4Topwaid8sSKpHViwznyS/GTpZtPPznjgI2zbY61RcKI1dDLxeak1WN+QNrs6CWR4WIvmm7XKmbl28660qVk1yJfaXHPumu34eIn+/qoE+Ce0SgSpfWxul3w/r/rrl6b7vVSX9KNq0QTbdwxC9Mt1aT8rY76usx/+xLoRHgkyb9f1z83GwvU7Qq1TudyQjuNB7RlzImDJhdSd6t7fnr8eT3+6An94ayGuln77216bj/v+l/aL5Ny8Rp9b/rJevZhz61gvuPPcYGq2AmpToOBmKU9ea5zb+lZFmaISrMTE9bVJFe19LfHA8s7MW9sEAJaTpB+Gtzd/QL/T27oDGScGt5hGBYKnBCuVzqNXJ/fRG7EYw8I7zsAzV4+Trs/AeXKFc9mTM3H6A8kC03bZxAVyLhU5FF/FdGmVabWCMkOVGmBfS1ypYbjy6WSW/DfmrnN9HcBZKQwnY2uryo5r4Ks1211rHuTySk6OFcKziOp0y0UBOAOrTM6d25bhrvNGAQCqBnbBKza5pMR3daod2bM/KXj80xBM8ef3FruunBAlhCnYSz/KFrM1Xz+V35OxCPwXK5ImWjfNF799a4Lr8jMtMwh4Xdu7y3/lBT9JM4cbykBVGdK3XHnUQEfnscrq3kuKsN7fGtcF5+QbRSVYvatFaXyqWPVv39uCEbe9E1jeGfEQZ6vqvZj7BkiLk+Fa2gWVdarhngmpP7+YmQLla6vm5iHd3dVoE7QtL9F1SJHETr61yxt3KXOk2DHVJhmfrGHw4m6k0jCNuO0dnP3wJ/iyQe9sLUxfyzZlltRo2Lxbt2L2iqzJMaYzEP4zTpxBvzt5Bv70rrVzqRVOJtcJWuJFlQnWyL/qMqN4/3TRYY6ee6uKAGYC4PeOHIiGeybglR8dbdu2eILj3QUblJO3QBa6PlrSaLrf8X+alsp9ZMaG7ftwziOfYKciPUgUiKCvsRJjBK38zDpNYim+K2N6gcxYe7LCRTCOFXO3m99ctyXFZIyme2O9vouqB3g+t0C2aDymJSbOV4pKsHpbyzaryrC93caE4hbV5B8kwtQ2RHIRun5w8ufcsM//RTnnpto7Bph6UYvhQSVYBVWhRvQ/edI76c8f4oeKKBwVqvBegVWG9KB9Qz5Zojbrvb9QL+ztb43jhPumY8wd72Uk+vSD0SRTo0WCmeX3MfLRYnMBwA4n91I8fnYmPAC4+WVveefGDKhEpYVGLIjfPM45Hv7AWjMqC107bRLRPv2peXJXABh/91TMXbMdTwcY0Rkk2VpsesVKk/jJL9N19sTz6EZjJYQxY0bzbHHnYvPxy4/Gys7FIIivZ6XNyjeKSrASyc9UYfNlihxLfsyCYtLKVkkLYaJoIz2MIhBpxjbVEcFhqrHiaY2VauwMqvaf6IDG3E1yTil5sOzdqQIXayuqw/p3xtgDzIWTTTvNQ+ODLqTs9HwNUvJAN+kh7DBO4OKZVUVKqTCr3eUEJxoroTmz8w0xmk5n33aq43aUlbAM4UlOBBtEKPdLX6525V945dHOzCp2LNkUTR8VVQmSMFm2abfpZ/27pFeuA7vJmZidjWU8JVg5a4tVmTEnLDH/Kqkiz16w+81yJTjmC0UlWAlUq9B/z84sW+B2tbqnuRX/qluNF79clXJEXdZo8aT7QGiEKiQNsln+zXPG9FV/4BEzHyvxGaB2Xg8K4QP0xIfm6uIWqQGtCZ4SxkpizHJSt/rN5wUQeSXjVLCyitJ784ZjlRFwTjDeh7lrtuPfs3OTiNKJYNWslcuwW2nf8Pxs3Xun6RmA5ISwe39cJ4hf+0w6h1MQ2pXJHy23TGpq9A30WufMuIgzS4Cpwkt0nFc2K+rFhcnyzZmmd5nfaImJRQoNN0+EeHzenmcezdtOSrPw+nXHuji7O4IoTGws0ixwIlcd2t8+M3uhUJSClYr/zs0chNyuVkfe/i5ufvkr/PKVealtcuHZ8x77FINueTMQ88K/1mmreemB3mUyNj7oIX9PVVUVqqrUTu5mUYEc6XXc1zuzJ1mpsowb2d3civ/MXQfOORKcp7QepbGYpXP2hxbmLac16lQZlIf2yKw75LQws1UNQwaGQ/tX6rYN6NoWf7zAPpJHdR9++mI6EeWFVf0D8clTYVVSR/A7G18iM9xMIDNXbMXelrjOFCeclIFgNFaAdYb+ow2Zr71e008UlZn/VxCTsZFsFqb2wu2vWyf/FP5FaVMgd+FjlTxop0Xett9955DU62zcb4GTqEA5l5SKIwcnU40YNWvMgQbvmmMH2+7jlsV3npm1McoPRSlYDVdkelWtoJ1EWS3euNOyOKuox/eb1+alIlBU2jG3zNU0s+83ptu9YX/md/CayG7WrFmYNUvta2PlvC4GnE+sk2BnncufnIn/e342bnllHlrjidSAFYtZa6Vuf30BZi7fovxMVRRYhSqkWHVks8PzWWm2VNr9S444ACP72K8O7Sbw9duDC7U3YqVtFHTTIqWM+XdOOTj45IxmOFkE/fiEoa7Pe5BiDBJ4zSP2wTebAk9lcMX4YMySMlb1NcPALulp2swlOa87PPf+Fvvf8twx9sWLvSLX5nMitN3/3cMsP2/fJqld69pe78zuRB60S03jhai6ZRWlYCWrXgWq1Z6T7Len3f8RbrIoNyHS9f/j83To9N4AB78d0kJI9WN+YBP15oUYc+fAGQYiX82LdauxY19rSjgpNSQIVXFxbbrIbyfJ0d2pWUhVrFklWTk1BVa2NQ/F7lvZFhWGqLb5a7djtIXa/epjBgGwn8B3789evqHTR9pH+l0ybgBKYywjYkoWdrbsCqa4tRlOMvwP7u6+Cno3E5MK4CzdhdlxQZf38Jr7yIrHHQjVYTOgazrcWshVXm6tk2i/cg+Jk53w6o+PxjM/SKepsROsjhve3TZQ5IsVW3H3+aPxwMVjdNudaPAOUxRgNmJVcqtCUWdQ5bf754ushcNcUJSCleoHUiEXjfUKY5kJDrMmZSvOqyq66x9umnldptJbot+sIHIClcQYWuMJXS4rKy4+Ih1GrCppo0LlyClrRIUjs5WmUxYeHpxqbvrsVFGWMRi+rSWWFJnG595+mu7z8Vrm8NY4txQWzxiVFH6+vuN0jBvUFTeeMtx0X7ds2rnf1iT06LRlSkFB3rbRQ/1JO2RhOq4JOcK8a8xtBHgLyrD66l6Fo2WNuzIy7+/c14LHpi/FNo9+TVsDSPFRv3KrLv+WnJU+qtx+dto8J8xc8m9m9ZN3k3JSddCepaOHZpZYyiY3nDQMYw/oohNUrJJzAsDfrzH31RTnadiyB5eOO0CRd8v63OMGd3WU+f3Oc0cptw/o2hbf/D7T7Cfm0kvHpee5CwIuZu2FohSsnEZHuHHoNDMZvLtgA85/7DPdtiUb/QtsKlTfqtKFI6+b65hNDHL3GilZOx4bHNx39lMmpjTGMHfNdoz9/Xu6rNJmjpXyPDXDxERoRBU2LN+ug3qnb4xZmo+ZK7bghS9W4e63FmLHXvvn8JhhmQP3mzcch4Z7JqCzIZ2AqHjfmrDWcNQcNwQA0K68FC/98CiM6O0vYknm75+v9JwzTtbo/O9rc6dgr8h9WWisjh3WHQ33TFAuVMTPfd7h/ZT+HtcqfEusyqLYlSUy44256zJqO47+3f9w7zuLcPjv33N9vt37W/HqLH9uC4s37sQFj8/A8X+altpmTC6ZTRo278Zny8yrFZgxTEqIKeQR8ZvZKTG/Jz0j4rf8bJmzsSMovnVQprncKp3B+YdbmyPttPV2yoIhLrW6IoedwMyHSyxqDnegDcslRSlYOXUedzOB//Af6hxKbymiQf72WYPj89rRWVoEHNM1+ZC9VJ3+WYNOEQBYZV5PM74L8JmkqBtUEVw7nNS7M0POYbZWcgrvYWL/95Il+rJxmZOvWXJBsxI1izfsxC2vzsPkj5Y7Mkf96FvDbPcRlGgLi3giYdkXjAOxyixklZ4iSOSVt9zmIM3qKuKaudRqUkqbikzyvikO/Xy5uROin4zTTv0AnXDvO9/4Psdp93+Usa1+5TZdUE82OeG+6bhsin39RyNyYEnKw0rWWFloaP7v5OE4dWSy7p/Z+PutA3u4bpMb3FYrOMnGb1E435vVVjXT2oo6nycoBD31eZL/3dRjBIDTtDqLToJ2ckFRCVaHH1AJwFrVLk8eKid3M977eqPndvnh3D7p9or6gQd2YDheU2BM+dg6maBXTJ3XkcwG36VM39HKbFY0bmir8JFziqx1+s/cdTikbydUDeyC6kFdlft7cSQ+SqH21w/Kab5a06Q8x98/X5l67Tbk/8nvV1t+XqY94y1xnqpL54QSRebm7z4xw1XbvHK9VIxb/k3+MWOlanfHiFB6GfluiwzTZmWwgLTpV/zG0286Qfe5W8vek58467OqhZ+Vtssq4lXFMz7vrdVze4KkwcoV+1u9CeGpyV5EBdpM+mUlsdR8MHWh2sf1iEFJrV1PRTFyr2kJZNP6EIc1Sm88ZTh+duqBGRoiM84/XG1mMxveR2ruCGZpGoyIYK8DDXOv7IYgjwWCynblaLhnAi4+IhuuL+4pKsFKDIBxi8lELm/xvwXhCEtuqBmY/E7D2+tXDTt9LggnTpyIiRMnKj+LAUqVlejXTPFxl9LgVtJWmdPdsKc5jgXrdqB+5TZligTAWrvppr6XLFj1lKKiJn+0XLl/Nynqxlg4VnDV0YNSr+VJ42Sb1adwYr2k9nP84l/qjOU/OTnTn0qlsWrwWc/r7Ic/xi9enovvPjEDF0+egRe+SPrCGYuXX3vcYFx/4jAM69khtTD6fPkW7FZUUXCDKmpW1jy9q40BqjJYgjNG9cYlRwzAb85OCmny4r1jm1LPtfGEU7zsKNxeW1QM7dEe028+AXedNwqDJC2ClYb6yqe/wFdrmtBg8jwBmUKhV5pbE5ZBPZt3NWOvz9/OLXIwRsM9E/D/pDQHghG9O+K2s0fiwF6yYKIJznJUoMOF4jYTHzWrIuSj+nV2LIjIeHnKTjyoJ244ebhjP8E35qpNw2YJQsX3cFI9AQCqBnbFyz88Cv93Unr8abhnAs4fmx6fb5KKNUeVCLkXZx+x+mzcZe6Q2aasJDVYvzJrDf5sEX4ahXws7UsZ5pyQqcGZ7TOXZW1trelnVukWAGsfrCDo6MAJ0ogqElTu62aWHqsIrUcudZ4fbG3TXhx/7zT8+8dHZ9Sm+2hxI443mAa6d7QfWGVfrQO6pidXu0FSHuTeWZBpqjbLC2Pn/GqFWRqA+Wt3YP7atDZo5oqtSHDgV/+ep9uPMYabTj8I32zYifcXbsSrs9bgZy+ZT9xOKSuJoeGeCRh0y5tSW9NPtxBUrCKq2pSW4J4LDk29l82Wxhpxgm42QvnDU5dgULd26NCmFKuloIkFd5yh2+97Rw7EuEFdcapmcrMzBX7nkU8BmP/Ggxz4wiTzOFk/Cwf+5m3b8xx8+zu+chDFExw/f2kOrj1uCEb1s9fyNBpqiarMcd06lGfkW8rQWLkY275s2KbcLvqg6jaa5Qm0w4sV2G3GdLN1ptlp7r3wMBw7bC0Oc6GFM7Me5BNFpbESPDR1CZZsVCfTcxotBjjLc6UiG7lhcglj1uYNxvSC1y+HBRsGefoo81B9M7+49gphTOQVA8yFEZV/05zbT8XTV1Xj6GHdbVqaRIRur9q6By/VrclYWU58ti7jGCd+gPJ3GupQ9Q/4CKFXHNbWYfHYpYrC0mYYhSoZ0XajUHVuwNUFBEKwLnNRwFZXMDzGlAle7QSTP7+3GNMWNWLe2u1YZ5NPTDb7ePGpnO+yokBUSv2ta9qL1+asM/VvNfKFoei5mb+QEdUv5beCi5WgEWPMk/ap0UMAp9vv4VaZ0LltGa44apCnyNnZt52KL399iuvjokBRClYAsGLzbrTGE7j/vcVo8hhSbGUeMKNTRWlWs+sGRX19Perr1QOW3UOTNAWmO+Cl/YN9zMxWWR/efAI+veUk5WdiPJCTOcpOwmbaGJWAU9muHCeN6GXZxgmH9sGofp1w0oieOGZoWgBbuH5Hhs5+f2tCF44OAKMdrMA7tEkLNaL5TsK6PVe5V4ypTp3HP3cYUWmHys8L8G4esBvvRYHm3p2dB7LIzxID8P7CTJcCN+ZBuzqD8njiRbCyS5AJ6J8rr6bNoBERkFaVCWTihnujmuxVTunM4EPn5NuP07QucnQhAIwf0hVL7zozVYNQfT1v97iNi2HWawCQmQkzGwWUu7QvT2W9zzeKSrCS81e9OW89Pl6yGQ9OXYI/vvMNKspirjM6OymtIuhX2Rbv/+x47NjX6jgfUhAYzU5Oqa6uRnW12gnaLvO6V1W2U7yYpIQp8Ks16dV5G+l5kFMS9OqU7sxecwo9etlY/Pf/jsPTVx2hm7zjCY4352Umnp29Wm8y2Gxhrha0K09rrBhjmH3bqbqEgGb4KcaqwpgQdcnGnRkCqRxwUHP8EM/XMtO2eU2yaLeSPlcLQ1elTDBDFnTMFgFbdzfjiQ+X6TQAb1x/jHLfo4Y604wC3qICjaWVltx1ZsY+z00cj5s14XXLrmbMNfjAhcErFnngVDjpy8cotNCpqEBd5nXr5+bXWlCEMXfT364epzPFqx6PGGOexs9y7bQ39DYXNJPj0rGpqEGn/Ub4k543Vp2WIfqqgtxSZIJVenCfuXxrKoS0aU8LKspKXKVX+NlLc7BAESk06fghGTb6Hh3b4NNbTsKwnkmfGFU29K/WNAUaui6i8Nw4WDvFzG9EbLIq0hzU9VVYOUiKCVlOb7Bzn9rDX17YbnRQ084OefJWCVWAXuADnKXkkP2qgOQKz8opVuBZY2XCob/7X+r1og07cer9H+GRD5YCSDqhPzZ9KRZLlQ1+dVZmJJ5TzCLbnJokjdjdCfGcu7lnsjBlJbfd8/Y3+O0b6Tp1xpqPgqO1HGV3n28fSr7bQxoDsfgSzvJmz5D4Lmc++BHOefRT19cJGqe1NoHkc2lX7uezW07CD7+VKfRn+ljZj27iHhqvKeagru3L0amiVNkXvGqsxCFWj2pSk94ZD116OO4455CM6DszfqEJ1WYl0vyaRguNonJel1fRG3bsS4Umi0zVQDLizGzClTFLnHdo/0owBjwlhUyrNCxNe5pR2S4t9Ng5lbrlrfExnDojgXd/enwg55OJWQQcM+0vm34YZqbUMgt19LjB5g6Rt509UvdejhqtW6nXJN3sweTkZMx5ymGIvYxXNblVe+RIQyPiJ+3ctgx/v2Zc6pmVadiSjDib/NEy1K3cio+XbE4dI9O1fbkrf0ZBk0lC1Y4V3hLh2jnvignOjfle3teoETM6yj9rSGnQu1NFRsHmThVljscFkR9qaI/2WNZoHv23ace+VHRqJ+23sXu2hZZmm8lvIJhiiHQ9/sAe+MhlqgcnuDF7rtm2B8/NXGW5T1+ThXUqnYa80eZxED55ZjnJyktj+Op3pys/Y/CmsXLYNADJun3fP2qQ43NefMQAnHZIb9OFulsn+EKnaDRWe5pbMwQmY8TXMzNW4mSPRYsF44d0xZGGSVzlhzLmDveZkN3Qow1D3aHb0cnjhGOFmeAkNjEG7NXGvCpvKVksMevEbRRaiy9+fTIurOpvudovNyzxrEwGkzyYsbwOOnall7xG6Vm1x4k2aWSfThmFdEUIvygdtKc5nhKqgHR+GoEot2PHcxPNy2wYmfStIa7NjHa3MCVYubjXsgwWY8CQHklN0EMOokiNQpVbhGAlC1XfPizTsV8OJhDO63aCilG2NEuX8Mi0pbr3z0rm6VH9OuG9gBZ7bvJsNbcmsE7TPst1AAXGxZUO7XuLZ8GJzLNFWzR4SWCbrMXqXbLKhozDGLO0fpBYpadoNFYvfLE6Y5sqx4hfJ7ySGNNpogB751CnmeCjQjNn2GbxlRiAVdpCrd5n2gcVsqVi/JCuOO/wfti4Y7+ygGfPjhW4z6QoZ3lpDM2tiVQ29tm3nYq7316oK749fkhXJBLAT089ED06tnGcj0VGHuhKY8yx35Yc9i/zxOVj8ddPGzw/q6qB94nLq9CrUxtHPheMpbUcgsumfI7Pbj0Z+0wm25F9O+GbDTvx228nJ7Cjh3ZPCV6vX3cMljXuQjzBcfPL+rxaR9v4F43o3RH/+uFRAIBbz3RvYrS7g6JvuolqkvdlYKkFnFl2/yB5ffa6jG2//fZILN6wE4ukSOg5a5pw9LDu4JzjlleTUZgzV2zFOWPMS5sYBfI9za3KZL3yePfctXrBuG1ZiS7xchhj3+DumRG0xw03f85SPlYmSX6DJhZjnjT+oc4iJFnpKBqNlaoD3/12ZskGP7l6AHVYvx1ealmFyYc7yrDdxFrKkHyogi+kk0Ye4M8a3QcXH3EAbpASWk79+bcAqMOp5cSXB2kD/ApN29KlfTm6tC/XCT6JRFJYPmpot4wIH6fIT5Td43XrmSOU22UzzRmj+uDFSUd5agug1ljFGHD4AV0sjxNZog8bUKnzVwSQ0gaMNakDJzQkY7SaXnIS08MGVOL8sf1xUfUA1aGW3HHOKM9mQACpH+es0ekUHrIfScpvxaMQG2PpbOhB+7apMKYUAJJmn3duPE637d53FgHQ53Yyi64T9RGNj42T5LDGlCTNBitBNkpuqdgp+Z5dIDlgD9f6tJWCKC0oOw8LdJOeI+N68Bd5GYaMQ6ZAPUUjWDl5UC+s6o9/uYw0MeLEediIk3DnfCB1i1l2fazkTqy630N7dMCjl41NaTJkfnrqgfjm92cgxtITxVlSOYcSxnRCeGsi4Ts9hqzBkB9DlYlGlY+qvCSmSxPhF9UYKBekNmN4r45464bj8PNTDzTdR5+xOo1wzhf3wqyffPP7dAJMVWFpI34L+gq/obvPTyf4lJPJimfB7SMwfkhX3HXeKDDGUsJEmGlWzDRu+mdT3WnbaUK08RxyxNu+ljjema8OzADSRXj7d9Gb4Z74cJlFq4Pj2RkNqdfy7zBayydlJfQaNVYc9hrMLu28Bw0xj3mswtRYkVilp2gEK7PSITIv+xSqZJ6+Kp2qYERv68iLXK3a3FBXV4e6uszElXYIjZWXZHVOkQdGswl6wqF90LNjhfKzirISlMRYarKX0wWUxpguKWic+58Q5TFYFvBVp1VF3Sy+60xPCfbM25N5Lqea1pF9O6XMoeOHZAYEPDR1ieXx4juLKM2+Bt+rirKSVHmh//edURnHG/3OgvptOrctQyetVJIsX4hnwe2K/IWao/C9IweCMWDzrqRWaLuN07cfnGhIPrz5hNRrEUUp3z6VKR0AyjTzsPFWy6lcrnhqJn74j1mYtUqdafyBS8YAAC45Qq+VfGWW9zF3nE2GbllQlDVz8rjwi9NH4M5zR6UEPxXpwsDSNpu2mTnCO4F59LEKM71YkONTIVA0gpWXCCQAGHTLmxj2q7dMP59xqzoh5UkjeqVWvnad7Inp9kJfrqmqqkJVVZWrYySFVVaR+7BZ+K8d8kQpBzHEYsmIHFFANh6Axkq+lqzJe19RuDsWYykTZbZQfZ0TFOU97HihRq8RXLBuu615SNyLlFO4QiC476LD8M3vz1CaXmfddirevOFY1201Q776V787HQf26oA3561P/TZrtJxz3k2B6eNma0LHV787LcP530yoOdZhdv9fG4IOVFrFgd3ap8YkESUr572SJ0c5b5dYvBjvwOtz1mHQLW+iaU9zqnSLXKxa9q86tH8llv3hLBw3XP+crd7qLLmnimMt/KIAYL2UKmXjjrRgJRc57t25ApePH2gpGAitppt0C37kjKTzuvfjwxBxSKzSUzSClROuOnoQTh2ZmVG7NcFNM0f3scjILAZjeVCWTR2CRSbldezoGnzAnyNO7GTtuZ7txYt8P1U1AN2eQ27vwvXJiUFoseKJALQiJtvNCgjLz8NIjxmSrduj8LEKwEw14aFPHO8rtF6Duqk1BUYfLkG78lIc3Du4e2KcUIWQfdPLcwEAD2n5uOxyIJmfP/1amPw7VZTh81+djMMPqEx99uKk8crjv1rT5Og6xqCKSpMIrt9phYdFPrBpi9I59c6SSkXJ/olCwDU+I/e/n0yQLEc4/+a1+anXww0LhKBNoV6T95o9W2ak81jxjG1mqJLwOv36Mca85bFyfURwkI+VHhKsJEb27WSqLbj11XT9MqeRLGIgqZdyIbnt1CpEB9+aRdesmpoa1NTUKD+btsNaopO72Ehv/t6WyAEGXju0ruyI9PrdBUlNxcwVWzFz+ZakxsrnoGEmtHxH4WNlxK8PkQpVc7zex9+fc4jLayev06+yLR773lg8culY19cMsnyG8VRy0uBgzp++gLG47L9/nM60PsJEWNzhIKceoA8GAGA6jskO6vEEx18/TedPO0VaVJ52SFrIEs+gW3NP9w7mfkZeM+XLyPnmVMjNdar5U55H+88N/61QCZHP/sBZ6pCk87qjXU2PzzkkV+kgwUqihDHTlamIHAOc+0QJPxI7M6RbrUsuViZTpkzBlClTXB0j2jVXSkg/pnPwPY7pBCtv59AVypXOIfIrTfp7PS6u/RyLN+4yrU/nFLOoQCcJPuUJ6IKx/R3nf7Jsj0lUoBcud1lQXF7InzW6j66UkBueuHws3rrhOPsdbTBq72RfHN1+HgVP+bBDFYV37zpvVMqnzA/tyvQ+cmaZ6E8/JC087WluxY69acFNXkDIpYPEK7fPiNU9e/VHR7s7mQK7YfjlurT/lqpUjWNSGquMTY4Y1rMDZv7qZFvTZercqdqE3kb6UEyBJFjpIMFKoiTG8KSDDNhCBf09LQzZDLuSC6Lj7DExCZke52rv4Lm6R9J3QaWuNvav7/QOvsfJq0Gv5gX5ODkr+3UnDsvYV85r5QWzqEAjQtCSv5LsnP/n7x6GN4MQJhS3zLvg4O44uxprTjljVB+MDEDINGuO+FpCGOpbqQ6EcHP6Xp0yz/G9Iwea5lkDnBXjli8kBCIzjVDHNmlBdu7q7bqEpPJiQzYtCq1bUL8dEEz+KjuN1Z+lWq679nvXQKZ8rLSR1628Uxpjyt/ejFSmd5fXIVNgdCDBSsKpiUHkpVGFxsvYqfG9Di5hF5cXVdSdNH/FnuAbK/9MXgUCeSCQo4S8Fq22wqyJxsftrnOTUXDyffWTD8cMszxWuSDEjANKTOtOag094aCkia1NqTcTvl1qECPGdBXXn5Qp6KsQl4nFGMpKmGn6APn7Xv7UzNRrOQ8coPZBDPK3M9a59IJY4HZ0ENFqVoLMCcY0Vsltzm+G2xQ84tRec1mFIeNErFuHDglWEk4HDhFJ43fSMzpfOi2YHLbGStwn1XrReEeO7poFwSCAEV6cwphXR6UB81rg13gtI8ai3yoNzFibpJ1BtcfPivNgFw72UQvLNmuNmAw55z4jvNxpV3sbgmFKHT7rYq9EgoMx5vg4gTHthd4HMfnfzTNiN5Z1CaA4vAg02Lm/FZtsSgGJlBdeMNYKNK+UqqeLZuZ2q1UXu7sd58NNtxDetaOIL8GKMfZTxtgCxth8xtjzjLEKxthgxthMxthSxtiLjDH/PShHmNW+MtKaEJmU9bfPOFGaIaKBjBorK2dPmV2aIiysqMCY1uWNGitVxy7Pguju15kcSA92xmzTqtXlRdX+fGDMJqQrDEVQ+3fJXMWLTOVBoowK9HFPRSJWq8ShqWtHbAA2CnrdtAk/LVj5uzduD31Iy/ckcDopizbGOQezOM5pe+T9Ut/fxXepvcJdqhYvtEqmwNXbrNN8tMS9Sx0qDZKTWyECEtwKueKZdKuxIlNgdPA87THG+gG4AUA153wUgBIAlwD4I4D7OefDAGwDcE0QDfVDk6ImoIonP870rxIFVGX++mkDgMwq7s9PVIdMXzBWPzFP0DJ9i+SD3z9K7QD85/8twl1vfp2xfYO2+MpmVKAV4qFRmQKN3assC/0tiE5sdg7VhOT3emZaGieTZjYGLKbo9X4uIyYOJ3UUozYAG1sjAlO2723BnuZWJDRBxfP5te/rdNFU2a4cp0nReaqwffV1kv+FIGh2nNn9N2pL5f2YYpsdo5z6hgHY4SzwMQPZxcppjuVyL7U+tf/pPFbOjhPmWLeljOTf0gvR6mHZoeb4Ibp0JVHDrz6hFEBbxlgpgHYA1gM4CcDL2ufPADjX5zV8s2qrfU0rgTHqqruicGqtJlAtlyIFAaBdG7XJ6NuH9dG9FxNRPC40P8n/xoikhz9YiikKYa+9dpmfDMleFxo7dizGjlWHwluZAo1kozyaw7nG0zlU5l2/woAfDZtKCPKLqjV+cgy58QmJuo+VbJ6va9gGDp8aK8UrO86Xatk5/V1kLWSMuddYGbXt8vHi+7v57dwIMGuarU3tzQmOPyxOoKlF/3zJJjm7QCHBYIsM62aoMq87+Tk/W5bMffj58sz6jVbko/N6rtdLvzrrYF26kqjhedjmnK8FcB+AVUgKVNsB1ANo4pyLNcgaAObl0nOE/IC+WKPWKgFA53Zl+O//HYv3f3Z8apuTweSLX52Mey88VCmEJc+hP4kYtITGSozl20xy57QalmNCq93HPlrfM/X19aivr1d+ZqaxUnXsbPjUBKH1MBN2ShQSl4dFrg4/wkQ2NDxq53Xv10lPBA4yUkdsPW383nIqFQ5NWPTz+8XEdZwfc5CU08qptsNoujMzP5nd/26GsUsfIJJ5DTvc+EE22zw2b2/keGkdx31LOU75LI7JDQkkOPCSlE7hixXqBM5GfnP2wfY7ZaB/vp0KPF6Dk1L+ch5Ngd4qDfojaprosPFjCuwC4BwAgwH0BdAeQGZacfPjaxhjdYyxusbGRq/NcIRc++3IIeaFXa8/cRgYYxjWM51cz+rZbq/ln+rZqQLfrR5gul+mYJW87aLj2U1Ixv4pBKsgfI28YOm8noMmBfG9zQYC1YTkd9Bw62z/9R2np16395hZ3oqgowJT/j2KB+Km0/R+V1EffzOyefNg7o2b7y0HVDh99nS7MXOBzLmPFct4na3Js9TmtOIX+e9Gjs3NwOMNHHsMz5rQDtlhVj/UCpXGKpsLBKOzvFvC6GIR79Y5x89a/BQAKzjnjZzzFgCvAjgGQKVmGgSA/gCUca6c81rOeTXnvLpHD/d1ytxg/NHNwnPtQu2NAtAPvzXUcn8xIBvHI6EBEYKVTTqWjJVLa0qwsj4uW7jRWGWDIMZ3M2FHNSH5jUJ0a2ZrV16Kb35/Bpb/4aysaPyCzGMFSIK2YoFw/UnDcem49KIjyKzpQWD82vJX4JxrPlb+TYFuzmGWqNP6OnrTnZmPlZdvktZYZR598+kHeThjEpG/qw3zX76lalAXPDptKb7ZsEO5v8CLyTt1hMtmOkkDobyeC9O6jlCjAqPVr8PGj2C1CsB4xlg7lryrJwP4GsA0ABdq+1wJ4HV/TfSPKHD6izO0QcDkGZAH/cvHJ5N/ys+qcTXrtDxNpmCl11jJHSihUB8b+5fQWNmt9PzAGDPtLOmJ1Pocfb3lVLQliE68zSQbvmpC8l3SxsPhFWUlWRNCgh4Dk8+KueZVLrwbteHXSgvDIZzBvZ8/re1x0SYPCXDl3ax9rNx/mXSC0EzkTO5u6ViRFDzsYrHXKOo0Gx+1+oZt+NO7i3DOI59anqu9iR+sFalM6NJs4OQ2njW6j/1OVtdz6JCfcby3w3wRsfVS6PjxsZqJpJP6LADztHPVAvglgJ8xxpYC6AbgqQDa6QshuIhw9p0miTvlZ+MIra7Xnub0vsZyN3YTnxA8jIO3WIUKQU02VaoKi8YNo0g8ZI1VygfAZr/B/nMAZo1mkzAitSnQ37Wi5n+QDTNGsnCs+jOVI3RUsGtNggejzfN6Duc+VnrTnamPlYdmiFOpfrsu7bxn0xELlgS3btTfVmc+WAnDL9ekFbjeb+PE7skUqP1PRwU6Uw15DbJJ57HKn3QLpLHS48stl3P+W875CM75KM75FZzz/Zzz5ZzzcZzzYZzzizjn3jOzBYSYQ+00D/LHr81OWjDnr02rlve16DutU8HGuJsQyNI+VunPDvzN29hucGI3OkGGLVi9uiU5mNY1GaN08gezsTEbpsCoDTrZWF3GWHIBoEqmqi+aHfy1/WAp6PHk5Obn5/P72zvVlsp7xZj5M6vaOryndQUJIYirTtmhotSzOVAI3HYLtEv6ZV7YmJZKLksFmAs/nkyBQtARghWcaYXEb3/JEeb+t8rjtP9ufd9Tu0esjxUjRZF5XQgm9tFd6SdytyJZ6O79rYgneKrsxBCbkjYC4yBXahCsjLb0FVt264Qp4yARto/Von3JyXOlIouF3KSwS+9YYTZfqUyBvp3XIzbQZSvSMMG5Trv667OSEVi6ySwi92LCoUkzjd2t8BkUmNb2eBxpHadb0O1mfoxK0Otmk2PLyseqTWkJrjtxGBrumeCkmTpSC0ybcaKbonnG0bmLoZh3kGNPulagtM3Bz2LmY2t7nHZgPhVhJvQUhWAlBBe7CUX+WKVSPuG+6Tj1/g9xxfhkQk+npTyMY2NJhmCl/zye4LqwbzONVTZ9rJyQ0e1Dcmb3gvgN7j5/tG67ah7zk+MJcDbQ/fGC0fY7BUQ2FGgxxsC5fjIYpmlClFm8Q+b+747Bl78+xVKjxMHBOfelsRSTslfzq/MEoenzy+VbTjm4p6E9mTgdF4P+6VKmQJv9HlyuMAUaNhkzq6scv48Y1MVV+wRpjZW7dAtpbaO7Gyd+S6MLiB1RHm+LjaIQrNIaq+QDO6CruvSMPMBsMakttbxxdzpfiFNToDHdAjMKVgaTGjcOEvrzhW0K7FKSHArLVBm8pddR7ujiFrczpDNQTaK5SLfgNBAiCLKTWywZeCE/q6oFTVQEq/LSGHp0tE4Ex7nmY+XjOn6FkhIfnXzub0/DY99Tl5aRE3ja/SbpBKHB/nZCZvRSbabVcIwxsa8QSi6q6u/bz03gNt2CuJ5rjVXKqcvdcanrejuMCJDiEKzEAK89se3Lk9Eof79mHCYeNzi1n/xAnjmqt+n5xKTsOMeM4b0YLEWtK6MgFU9wfaSg4fM1+5LvW0KSXG7pnwzTGdtZ/82MzYmyYCUwCyzQ7+PvGk4GdKeaiagSYwxxznXaVVHWRFUeJR/gmo9VEMlTvZ7DbZ05mc5ty1BuSCEjgmMqpFWRXdPEx3JTxh5QiT9deKjntgGy87r7Y+Mw9lv99xRD5pAeHTxljpcxJsB16lTuVdMthDbXPlb5MOAWCfk9mjtEpDAoSXWQ5PaSGEPb8nSuEXmAOX+seeHd9Erc2fWNg+qG7clK7O8u2Ki1T79/nHNdJzEKVq+sS75fsjt7PWny5MmYPHmy8rPOJWoTJhD9BJACMUgaBz/VYOjXFOjk8Kj5YbklFmMZqULEs6BPBZBfXzQZFej9+JTGyuPxQd8vodkRUc+AveAv2iBHLJ9+SG9cZJEU2Qlp53Xr63dTFJs3jj3G8mLyGC0W1F7vpdF5Xd5mRczjb+81KlCQXz2sMCkKwcpoChSUMKaLupHVu1YrRdGpnfpNGDt0t/ZJb8wnPlyGkbe/kyE4JRJ6YcroY3XVAcnzjavMXheqqalBTU2N8jOhdTfzjfj+gNTIEHmMP3PHisxR3K8JwcmAnmfyRgYxlpkqRPQtXSqAPBtxuO90C97MQQI/GisVle3K8cqPjsbDlx2eGg/tLiHa/uyMhoxtfhACz0tbyjFmehz7TGyCFzmICvzP3HW693KqG6t0EU5ghuHMqWZIfD/3pkDvmjyABKsokGfDnDfiBl8PsRIoiTFdpKDcAYb36ojJV1Rh4R2ZVXqEtsPpJGHsWEOl8OY9zXGFD5V+rWLUaHlziQwO8bWNg5t4279C/z6K7NBymTkZbP36sjk5PN/V+DHG0Gp4IMTEPXv1ttS2fBr0OZJ9PRgfK29n8eNjZUbVwC5oV16a+n3sriDavssk/5+Rf157pKP9hOD90Y7kYma7ulSqUsCwa4lYmDLmX7hNRQW61liJ++vuwuLcqmTRVuR6CHnse2NzfMX8oSgEKyGYiIEk5SMVYzrHYmNnOf2Q3mhbXpKh6XLtY2XYzZibJsNZPcF1WXcznNtNzhsktbW1qK2tVX4mxnrVApNBVmVHHydmPv+mwHwSJ7zBGEOLYQUgJuT1TftS2/LpXnDNJO+nzSkHZo/HB62xUp3b6fcbM6Ay9dpKWBh7QBdH5zP2KzMNeO3KzJEkbpNUVIyfSY1VpubUDWmNlfCxckaJR4EulXndrY9V6gTujvOK18zyxUBRCFbxlD9N8r14AEtjTL8KMXkiRekFQWo15PD6xg6SMaAonNdlnZUx7DYlWDm8vhcmTZqESZMmKT8r0VpgprFihvdRxpmZzt+dziNZwjMlsUyNhnjOzxvbL7Ut6oLVw5cennp977uLsHHnPl+/n18zVDbvV2nMncBxpjSRWh3S1mHhcKNjvZvxYkfcus1xycdK5evnhtR4xlVbzYk51AhmHEc+VnlPUQhWQqUqBqmlm3al3v/p3UWp/cwGi/blesFKPO5OBz2jj5Qx/F5lCpS3ZSSKC1liSflY2Wms8kCycpIKIRcaq0P6dvZ1Da8YEyt6JcYY9hlyv4nb1kEqRmucTKPGtw/rm3q9dNMuTF/U6E9jJf57ndSzOEsKc7jjtDEBX994X92MFw+sty5NI8qPMUljlXMfK4+ae68+Vvkw3hYL3spv5xlmzuu79utX2Gb9zlRj5bCfGmsMGk2Bmc7rXCdMGcva5UJjZYW4jcZcMoJ8WDEN69kBSzftyknEnpPn5IBu4RRWnPrzE7DVpCC1G2JMERWYSo6Zxq+Qmm/41Thlo66jEacZvo31CI08eMkYrDBE51lhfBTcyAV7bDRWj0xbCgD49+y1ktbQxQV0CNNcuoVOftZ0Ogl3Ek/Kx4oyr+ct0V4+BoTReV1QGmM434GZwihYiefd6Zi5p9lYvFn/ebNhpW/UWIXhY2WFuBuZiU2T//Nh7hRtdFKLzX9JG/PjbzxlOLp3sE5UmU26ti9PZUj3A2PpvGwCYRLK94W0nxRjLCBtSTbxGn1m5Jwx/XDjKQc63j/Dd9XFtY7uaOLprrFNWyzs3t8amI9VGmctTZemcXu9TEHOCfnezwqJohCsDuzVEbeeOQK9O+vVx4wxjJPzuZgcL5sygPQD73SwzBCsjHmtduzTvW+NG3ysEiaClaOrB48YD80yJouHKpsd/aBeHXVCsVtS5gEHUqBvrYPF4TeeciDqfnOKr/NHgZIYy4heLRT8Oa/r/+fy2k5xrrGSXgdwXZUp8F9rE5jVZN+e6g7pMVV1i+TFb1q49dZOlY+Vk1N5NemJduZDuoVbzxyBQ/uH48YQZYrCFDi4e3tM+tbQjO1tSmP6wcLUFKj3Q5FzpDhhT7PB5Gj4fK9B8NrbEtd14gwXq1QerXAoYZrzusnnRp+EbPDuT4/3dbwbTQJFBdpTEsuMChTku++Hn1/PayHeIK7tFKc/j9yWIB5p4zk4gLuWcAAcc05IO8Af2QWYuS1zX4HI+i8jl1NKJ+r0qrHSNEgiKtClj5XbkTCd6d3VYSlyOdpM+tZQ5dxa7BSFxsqM1gTHV2u2S1ucmQLdRgXuNfhYGVXSRh+sW1+dp+tUbotxZhsx5CnTLbD8eKhSpkAHjfVThDd5rSIQrBhLaVbvvfBQNNwzIfWZmJDManRGHX/O69E3BTodXrKtsTKjS1nmfnrBKvMYWbBKRQV6HJiUGisnPlYis7xLTW5aY0WmwHylKDRWRq47cSgenbYMg7u3T9UzA8w7SwefPlblNrO3sTI7YJ15PRcdyMo8YGYK5NBHBc7ejsjixu8iF87r+U5JLJ0g1Ph1RVTtof0rc9uooPDx+4nJ3OspslEw24hZT6/7zSkok6QRXc3HANplFKzcmL70Qg6D8VukrAoxd31dhVGD5FjD59l53dtxEVt/FzX5oFwInJtPH4GGeyagc9synf+UqfO6wcfqtTlrAdh31H9ck8xAfM4YvS9Q57Z602JzPIHDDHZquY+YCTlhTdiWGivkJpLJL27qeDlxcHdyrUImJmmsjAzo2g7PXXuk76K9YeFHY/XWvA3JFxGWrs3Gl+4d2qCzlI4j6IhOowbJTC5QPVZi0/MTx9tqrIJKtyALOk7GOKu0NJbX0/57NgVG91ErGopSYyUjDxZmz6PRx2rllj2Ozn3s8O46k4jqmkAyOrGTJGydfWgfXeh61JzX7QaMvBAkUn4TTnb167yeDzfEH6UlDPtb07mDjBw9rHuumxQYwZi9AjhJlnA6gevGygC+T4bzusl+CcUnYkvvzhVKgUn2g/WbINR4TafO/umowNz4WJHCKjoUvWAldzZTU2Cb7N6mlnhCN2j996v1+O9X61PvjQJMLpzXq6qqAAD19fUZn6Wc1xWmQCA/1KDpJKb2wxE5r9sja6wK7dsG8fu5PcNfvntYRhoWO7p3aIPNu/a7vJJznCxC3eA0QaiVxoopziNTVhKcxkpclMOZYBlzsXjTHacNoJTHKn/Jhzkwq+j8BkweyfZZEKyG9Gifep3g1p1eaAIEudBYzZo1C7NmzVJ+ZlaEGcifTp1O3me/rzG4wC35ck/8UBJjaBWCVYF94WxoZ+w4f2x/XDLuAFfH3Hy68xxSMk5Lp+hM4oH4WOnfm4mRVoKVrJGSmTC6NwDgF2eM8B+ZaYgKBBy6EAjn9Vz5WLnam8gmRS9YOVFvO6195Yafn3qQ7r2VUsQsQWhYM3bKFGjYbhwHjqjMRWu8IdT0rWbJuAAM6Z4UfsuchA5aXsvX4XmBHBVYeIJVABqrHNyTE0f09HSc06i1wDVWNqW9AKA5wbGjNXO7HEC0c1/mDr98ZR4AoEu78rTzutd0C9r/5VpWecemU+26Zr6HdtdzXdLGcDwRHkUw5Fujj3RR79OzY/CZsY8e2k33njGGBy8Zo9zXbOALzcdK+68qaSPH53SIsKG51MFqUghUxmADtxSDj1VJjKWiW/MheMENQXybXNyTMo8SvGONVZZ9rFTD3NWzE5i1PXO788g8pH5ArxZ9kcB58ofLpfPan8xr5vWY0fboEka6q9AhwUo3WKg7y0G9OgZ+3TJDMdoYy4weFBjzWIWfIDT532xFlQ8rJzFJtFosC0u1L+p3EikGH6uSGENcWwHk+9d984Zjde/9aBx/cMzg5Isc3BOv+dacJ7wMOCrQcDqV8njBTvWxqTHGha+T1/Yb/TCdOqO/VLcaADB3TZOr63nN2E7yVHQgwUp2GzDbJwshPaWGc1p1+oyOrf0Pa/6yymMFSBE5OWuRe2485UB071COMQMqTfdZsG4HAKBpj3VdMjuiHBEWFDHJxyrfGdy9ve69H21TubaAysUj4PU5c/qr6U2BQfhYOXNeV5EWrKzbwTlPF2H2OCD175IskN6v0l2C20O1HInGqHI7UglCXfanwuh9hUGU576cUOLAFJgNjH47VoJV3KAjd7Nayyar9yo2Msm0EGGBompgF9T95lRHZr4vVmz1da1CM42pKGHuJ4KoYuyLfgRjsYDKRV/1HL3q8GcrDdgUaDyHqxjIVDoFm92kwCCvJvlu7csBABcfMUC+tC3HaClGurZ3J1gxrxqr1PHejiOCI8JeMLkhFvAqzCnGQdCqM3gNu/XDxIkTbfd5exPH3SPT742tLBSBwugP55Zi0FglawUK5/X8/sIZixwf30f081z0Bc+mLoeign6s9I8x8a4bQUIIYXb3VY649toPxW8oO6G7KWnj2nldO7fb/FeFsawpDEiwknpImBOglbnJLCowm82tra31dBxDfpgCnTC6X2fMW7sdPXwGL+S7oOGEpI9VYeSxMo4DfsaF1OSag8WRdx8iZ/sFrd134rxuxo64M00gB0/9Bt7zWCVTOqTGYZcaPve1Apmby2SQ7/2vEMj3uc83OoucxRN52shegV/7uWuPTL3+ZOlm0/0yNFYRX5pExVTpld9MOBjlpTF075A0AfhPEBpEq6KNTrDK8++boU0O4FxutQ9+ruWU9i7TyJSUBPvDGp8Ti8wnGewUgpXNfomEu/JVZsjpRJLnsj/bPi3/4JJNJh74JlAR5vyn6DVWsjbBqrN01ezsQTLKUB/QDOOKJxcaK5FxXWRgdwpD/nfwa48bgmuPG4Jtu5vxxtx1OKRvJ1/nKwaNlZNEu/mC8ffyEw1X6tEc5AW3Avwj3xuLq//6pXPn9YB/Y+N93u9Cs1MqDnWgsRLX8dMPYzGW0jo6vV8fLU4ulre5DH7x6mMVdrQ4kYY0Vg7V2y98uTrwazvtABnpFsTxWexB1dXVqK6u9nQsLxBTYJf25bjy6EG+BaNi0VgJCk2O9PN9vPrZeMHrc/qVw3QAOo1YFn5jNxorsa+yTqB0rzmHb1MgkJwnEi59rL59WB9P11IVfXZ1vKejiCDJ97nPN16yCffv0hbfOaxvdhqkIGrpFswwuiAU2gTrlWK4D0Fn5Y4SfgTr0hz6WLll2+5mAEgldrVDr5UMhsp26Yi5eTuc36NWbm4KjHOeCjgZ0btjOt2Cj0bvbYnjlVlrATg36/bqVAEA6Nu5wtW10kWYo/fMEM4gU6DU2ZyuaBIJHshk2b7c2e3PSLcQYZWvbAqMYvvC4OMl5v5zYfHY98ai3GepHhljhFchEYSPlVsH5lywe3+yFExFmbPnQJ9uIZjfWz7L06vsBYmL+jL8ax2HqN7JGEOPjm3QuDNdfDqe4BjSoz0WbdiJ0pJYOirQp+p4qyaIGtttRqmWOMutUJ2qY+rymSExLDqQxsqDCaMlwQOvlWXlw2VaKzBiGBOEFu5U6w55QI4KZ43ug1MCDMgoZFOgHxOS6ONhpEyx4/dvLgQA7GtxNoMHnW4BAEpcZu3sqK1FW6Ux5tdnHazbJ57gSPC08JfOY+WrqSmc/pLiq22ShD4niHZ61XIWWPfLS4pesFq0IR2x4dQhs3Hnfrw2Z12g7bj8SPNK9maDchQnMLlNUWxfGFwwtn/YTcg6em1AYf3wvnysUmadgBoTIOeZlNDKJcYKFGZUVwJ/OSSGgzok36cEKwacfkhvHD20Gy7REnjGOQfnaatCED5WgD6fnZNTiQLvbn/7VLktN05niO6CuxgpesHq4D5SxJdFZzl/bHYHoUO08gcf3nxCxmfGjNZRMrWp/AC6lidb1t+da0HB0tZlWHs+EnRW7ihRqBorP89lUL+xWYqI3yxMYNP+9D1rGwNO6sFSgmrKx4oxtC0vwXMTx+Og3smarvE41zKu69vqt8mfLdsCwLmg1KVd0gpRc/wQV9cRz9vNL891dZyg0PpfPlL0PlbdJBOc1QM5fkg3vKo5L2YDMWAM7NY+4zOXC5eckgAghmfRzOO6Ag+NiuHoriE1KmIUwziXDcfmqOA0M7mKKDuvu619JxPU5G1mCfzvRp7SSun21/7HJY2VQL7XCc5Tz2RQGivhaC+ncLCibXkJGu6Z4NoJXQiEe5rj1jsaiOAjVrQUvWBVKjnwBl293Q0j+nRMve5X2RZrm9KF+DKrqyf/Z7O1dXV1jvaL82SdOBnGGI7vnoVG5SmqVXmb0sJSFpdkwbE5Krg1ycikE4QG1ZrguOqYQZi5Yiv+cP4o18cGlavMKujhky1S2gTtv8hf1aoYA2NSagt9KRvx33s7R/bphL6VaRW8m1O57Q9Ofd6MRMmSUeyQYBWRMHFRQR3InHSNOXBy0YGcJgZtTQDlWnMjOHdEglLFsny6wuSbzxRyuoVWHzmoxKSeizxWbikrieHJK73lqgtKdt5toZU5oB3wteYC+4lWB108ZnGkTYGCUp1glb7ffoswA8nnW/yE2RaSnRSGt6LQ+l8+UljLZg+UlsgrbfP9cqnNuqBK7+xsHJOjkCfqpqHC10G/nTp1JqWKUiB9Ons3w0QRv2V/okyrMd+JC0py7GP11g3H4ZNfnpiTawVBo0XEXL+KzGcqJVipNFayEMvTZsbSAEyBMWYQjrP4uB/QrZ39TgqiJ7oXL6SxkrQJVuptOSIEAL6dxQShw3p20L0Pw/G1pqYGgHkx5lLDAAeAerYJTiOf8pmgC/RGCacJNFVs3LEPALBm216bPYNhpM/yS1Glh+YKK9YoYkEnC0tiASM0VikfqxL/psBYjKXGYRrmCDuKXmPlNP9O38q2uPfCQ1PvDzQIP0FilKMyogJz4GM1ZcoUTJkyxfTzEpVgleU25SulASbijCqxAo4K/Hr9Ds/HBp2WJSrkwo9OXlCO0uRFo2ClSvDcKvJYQRzjP4+VlyLMYRHdlhUPhT/iu8Cu48mrcr9ZfAW/P3cU7jxX7zwqO0kCwJ/fW6x7HwUnxefWJlvx9zW0frNDZQosNIIu0Bs2d5xzSCDnKdSfPhdfa1dr5jYRgRxXtEBYHxI8GcdpTAzqZ4Eja6yiqrKKYoBEsUKClYTdhJANP5Irxg/E5eMH6raN6tvZ8pgo+Fit2JP8/8zqzMgdQk9RmALlkaQAvu73jxqE0f2s+6ETVIELhUAuxp6ZTZnbYhYaK/EMtsaTpkBj/io//TDG9CVmcjX2ehGWCk1jnI8UZq/3iN0DKWupsunMbqcNi4LGygzq1JkUsmO3oETnq1gYWJWZcsqBvbPnMhAmYWklhQawhYv36XaUyBorycdKmC3LfGisSmIslYvMT14ztzS2Or/PtLCNDiRYSdg9wjpTYJizR0R7UESbFTplBaq1kJHnrELJY/WTU4b7Psf5RVDOKAiuGuDsmRH1ovcm9Mk/k6+T/1sTHImElHGdIWNft8QyfKxyw91rnEcPR3nBXWwU/ojvArsJQZ48wkwmKgizBSdqCUCNRTHCvyvRIyh/vChTiJnX25f7D5r+ePHmAFoSPYIa/q45djBO6tySKq5sh1YtC82a4MQUGqt4IgEOSWOlPZF+TIElMZZK1JxLX6aPd7rPaVUo/S+fKfp0CzJ2/W5d077U6zDlqlz067Fjx1p+Pr4Lw7TNHHJ6P9JYFS+FaO4M4jt1qCisIZaxpGAR1K9929kjsXnHHPx9lzOzq8id3MxZRtZ28T6eSOb+E0KXsWagF5Zs3KWrhhGBdXUGNP5GB18aK8ZYJWPsZcbYN4yxhYyxoxhjXRlj7zHGlmj/uwTV2Gxjp7F6Z8GG1OswNVa5cF6vr69HfX296eeHd1ZfPILjDZEDCrEIc4uPxKCCk0f0DKAl0cEYaRcUpQ7PJ/bbl8gUfMX71kQCnPPUWCTa7EfTpCsx5v002SWyDSs+/JoCHwTwDud8BIDDACwEcAuAqZzz4QCmau8LgkUbdqZe53rykAeFVm3FGKYdt1DDyAlv6PJYFYh4LZJ7+qHQNHlpP6Ngv9fRXZ2dTwhW2+Mx7G/VC75iTG7cuR9cyrwutgdZVSjbz/j3jjzA87GMJKzQ8Tw3M8Y6AzgewFMAwDlv5pw3ATgHwDPabs8AONdfE6ODnBE91xoreQhpSQBlzF7Dlk1UK0zKo1K8FGLm9TalRg9C9xTKvcg2Q9tb36ivtif/W2m2ZizbAgC49dV5uszrYpz0E83Xv0vaiZznYKAr91CknYbf6OBH6TEYQCOAvzLGZjPGnmSMtQfQi3O+XttnA4BefhsZFY4Z1j31OtcLUbkmX5xnX2PEGLMU3Jyq7ok0QYTvRxW9xqowGNnHf3mYKAS5BIl4hnP9tba0JP9byRtCO7inOa7LvB6Exqqb9r2FUJXt79+2zLtQX1hPXH7iR7AqBTAWwOOc88MB7IbB7MeTT6HycWaM1TDG6hhjdY2NjT6akTsuPmJA6nWutUUtORas7OhWuDJCVphx60mYdtMJYTcja8xauS39pkBG9k5t/TueF5pglXIEz8G1yhUXKbO4cBtJ6uLIdF73o2mauyapMtu+tyUnmqGLqgfY72SANFbRwc/IsQbAGs75TO39y0gKVhsZY3045+sZY30AbFIdzDmvBVALANXV1aE+E1/8+mRs2G7vT9G3c7rUTK4HzFX7S1CpvY7z8DVGFSaSXYHNI4HRp7PzfDT5yAtfrk69LhQfKzExH+xDc1Vo/YEZzGtBMrAtsFKqVa2qfW017smC1UeL04t1MVYba656Yfnm3YFGRZoxuHt718dEoSIHkcSzxopzvgHAasbYQdqmkwF8DeANAFdq264E8LqvFuaAnh0rcGj/Stv95MEk16bAVfvTP1UUNFaEN1677hj88owRYTcjcLxMBPnAKz86Cs9de2TYzYgM2dRYyULVuEroUrkIrMa9sw/rCwA45WB9JGaLJqGVBFAMPSW8RVh6iW7Lige/uu7/A/BPxlg5gOUArkZSWHuJMXYNgJUAvuvzGpEk1xqrAW3S7utRFaxIFW3PmAGVGDOgMuxmBM6abXtSryM857imamBXX8cnCiyiI1vpFmRO7cEwrD3wRVPmvbPSlAm/pIYte3TbD+yVDDoa2sO/8N+iUqNlmb1xjrYOBvwCe9TyGl+CFed8DoBqxUcn+zlvXpDlyaNLuzJs29OCru3LsXV3s855fXc8mXk4ihTQnEq4YHS/zpi1qgkAPQMyQYb4R4FsLij7tAHW7weO6wZs2q//7BiFfCsEJkGpJnws3bRLt/3KowbhiEFdMSqAotrnPvopgNw+41ubgX6F7UlQcFBJG49kW2M1+YqkvFo9MJlf9S/r0v5d/2vkaGrN6uU9UWBzCOECOeKxUGoFBkGBpbHKqL8XJC8dEcMtwxi+3YtlaOQfPTQzSq5Hxza696UmNTljMRaIUBUWrTSw5h2FVW8hh2R7wBw3uCvm/vY0fP+pZGzAgr25/akmT57s6bgCm0cIhzRLJhKSq9KIoIVC8UEz1t8Lko6lDJf0T563hJlLE73bABv2ZwpSuRRic/mMNzYDA9vZ70dFmKMDCVYeyYWPVee2Zajwkc/EDzU1Na6PIRt/8fKjbw1NRWLRwK5n7u2noaK8MIwDKeElyz+y1d0SbTAWVc6mpvSx743Fj/85K2vnt+KuxQn8e5zzeYD6X/gURm8PgVytWC6s6p+bC/lAdtClTl2ctC1PD/yksdLTuV1ZIFnco0DjzqTzU7Z/4k3N5p9tF8lCbRy6jz+wR2DtOWZod937XKYUWbHHfh+AXDGiBAlWHslVVOAZo3rr3ueinAIA1NbWora21nKfMVp6nxACZYiIodcekGRVqOxuViVBCJ69FpfZrX322dItlue4+phBgbWnLOzEgQ4QUwMtbMKHBCuP5Orh7dBGb63dkSOn9UmTJmHSpEmW+xzTLXkThHMlyVfFS+e2ZWE3gcgh2Q5QGC3lZB1q4l+0c7/1YHjiQT0tP3eD0Z8rF+N/mcecOiRXhQ8JVh7ZtS83Eo5xAPv5gujkWXhiRVKUWrhT2ki9uigZ0DU9+9GKufDJ9k8syxSXD3B/tfblwZpevQo5fjAuqu2ghW10IMHKIztzJFgZqWsK5bJKhLZ+437q0kSaQquPR2SS7Z9Ytry9uFY/vhzZxf74WMAhgsYFbi6e8O9omeSJ/IMEK49wWh+kkJOVFkqdOMI7W3btt9+JyEtEdvNs9/MSSZDZZVjDiknr+0cNzGobwubY4e6c72lGig4kWHlk7ba99jsVCf9YQ12aSLPLxveFyF/2tiT11Ft2Z1d4li1vNw1TT1O9OlUotwNAPMsp73OhlD3xIG9RjbS0DR8SrDzyzIyVoV4/CkEq7TU3BqGxIvGKAMwzYBP5z7jB/monOkUWrNob3KXEOGPMYwUAPbVs7HtyFL2YTUo8mjMjMDUUPTQC5hFyvqirPDh0Bs3RXUUW5jTht4oIG7v8QkT+0rdzUkuU7eLS8sKx1GSWUgkem3bmxgydi7JNbq9BCZqjAwlWHhnRu2POrynXjPrBAdnt2Jxz25xZYiUp8spQxyaAcCKoiNwgAhPiWQ5Olh8hM+28SrAqLyneKY1K2kSH4n0KfRKGYCVXfG8XAVvgyT2SbTi2a7ot4beKCJt9LdFJCUIEi/Cfa27N7m+8Xzp9mWFQEW9VpsAu7Qszn9pmF5HXFJQbPiRYueSaYwcDAEb3r8zZNbu2LwcAnPtFtCasgzsk/w/SUhiRwooAgGE9O4TdBCJLfKjVg5y/bntWryNrv81NgZkfdGlXnqUWhct7jfajK42/0YEEK5fccPJwXHbkAbhs3AE5u6ZQv7fmsOdUVVWhqqrKch+xMrp/Oc/YRhQvw0mwKlguOzI57g3u1j6r15FNgUaNlZXzemW73Giscj3ObbGonUhED3epXQl0bluGP5w3OqfXDMNnZdYs+0ruWY5oJvKM//30eCxv3J0Tx14iHER+qWzn8bMa8vZpPp37WjMj/3Klscp1vr4PNnNcP8R6HxqOowNprPKAlohWOTa2KpqtJHLFgb06ZhQNJwoLkdE824EqsgtpuWGWmrMj+f/x6csyjqvMomD1oxOGZu3cdizf42AnUYQ5qy0hnECCVR4wuLtJFdKQaRdsOS6CICJON83fs1OWi26XSTOT2bpy/fZ9Gdu6ZNEUOLh72vwZZaVshJtWNJApMA/ooSW9E7x5ZDTk4Q6GyETSWBFEYXPNsYPRpV05Lqzqn9XrjOoIHNUlmdKln0mC9eOGd8/Ylk1TYNTTiND4Gx1IsMoDNu/Uey72axvdDh7dlhEE4ZfSkhi+e8SA7F8nxvD4YdYqcaE9k8mm87pcUSBX41wMHAmHV0vnsSIRK2yiofogLDlqaLewm2DLgh2clkwEQeSMmMIel02NVbvy3Ps+/HaA+5q0tLgNHxKs8oDTDumV82tOnDgREydOdLz/A8uTObaoUxMEkQuqBnXJ2JZNjdWIPp1Sr3PlY3VS5xbH+9K6NjqQKTAPOKRv55xfs7a21tX+XzYB/c2LzRMEQQSKKpdWu/LsTWmiTmIu8ZTShla3oUMaqzzjsn7R7jVRjpYhCKJwUNUKbN8me+Y6OT9brvJYtXMxQ1Ot1uhAglWe8Z3euenQ9fX1qK+vz8m1CIIgnHJR3+QYOKpfpiY/mxqrMPCyUKW1bfgU1lNYBBiT5WWL6upqAAB3sQyiBRNBENnml8MYJlZuR/s2mdNXrhzMw9DM741ztHWQ8oEEq/AhjVWecGu/vTimKzCkfXS7DQd1aoIgsktpjKFrqXoZV1GWG8Fq1VYnqdCDZf4O689pYRsdSLDKEy7o1oxHD41eqvOHRqUfoXWZiZAJgiByhsrvKhts2ZX7qshLdluLTuk8VkTYkGBF+OK46KfYIgiCCJRsF6FWsS+z5rQSEqzChwQrwheMwgAJgigyPlq8OWfXGtA2+f+hFTYaK7IFRgYSrIhAITGLIIhCZ9f+1pxda9N+lwfQIBw6FBVIEARBFAz3X3wYhvboEHYzAmN/wtl+pLCKDiRYEUrq6uoc7/vAqBhunK+VtKHVEkEQIXLe4f3DbkKgHNcV+Hir/X7C74uG4PAhwYpQUlVV5XjfAwtncUgQBBEprj4gho+3OlRbgQSrKEA+VoRv+lbIpR4IgiAKkyMUhZ+zzbDMkohExCHBilBSU1ODmpqasJtBEAQRGXKVgFTGqXuFiAqkxW34kGBFKJkyZQqmTJnieP9juib/U6cmCKJQOeXgXjm/ZgeXshyNweFDghVBEARBOKBqYNIUeHCfTjm7ptNcgRQVGB1IsCICgRn+EwRBFBq9OlUAAM4Z0zeU6++Nk/iUD1BUIBEIJFARBFHo9OjYBl/fcTrahuBrBQAr9wAjOqo/I5ErOpDGiggEoa1u2EvdmyCIwqVdeWlopbwW7jIfX1NFmGmVGzokWBGBkNB69ezt4baDIAiiUEk4WLeSXBU+ZAoklIwdO9bV/jHqzQRBEFmlS5nFQEvGgshAghWhpL6+3tX+JFcRBEFkl/uXJ3BSD7V/V8oUmLvmECaQKZAgCIIgIsxRWsL31Xvt9yXBKnxIsCICQXTm6wZRtyYIggiSHm3sx1WyBEYH34IVY6yEMTabMfZf7f1gxthMxthSxtiLjLFy/80kcg1jLLTIF4IgCCLNWT3djMUkYoVNEBqrnwBYKL3/I4D7OefDAGwDcE0A1yAiDqMMoQRBEFlhQFv7fUicig6+BCvGWH8AEwA8qb1nAE4C8LK2yzMAzvVzDSI/IHmKIAgiO5Q7mKlTRZhpMA4dvxqrBwD8AkBCe98NQBPnvFV7vwZAP9WBjLEaxlgdY6yusbHRZzOIsKG+TBAEkR2c+FgJaCwOH8+CFWPsbACbOOfu4vI1OOe1nPNqznl1jx49vDaDiBjUqQmCIHIPmQKjg588VscA+A5j7CwAFQA6AXgQQCVjrFTTWvUHsNZ/M4moQwIVQRBE+NBYHD6eNVac81s55/0554MAXALgA8759wBMA3ChttuVAF733Uoi+lBvJgiCIIisZF7/JYAXGGN3ApgN4KksXIPIMpMnT3a1PwMDwEm+IgiCyCIb93H0qsgcaSnzenQIRLDinE8HMF17vRzAuCDOS4RHTU2Nq/2pMxMEQWSfnXGgV9iNICyhzOtEoJCARRAEkT2mNqrd1Dl5r0cGEqwIJbW1taitrXW8PwlUBEEQ2efxBhPBSvtPY3H4ZMPHiigAJk2aBMC5SZCS0hEEQYQPjcXhQxorIlCoUxMEQQRP/wrrz8kSGB1IsCICgeQpgiCI7HFqD2ejLI3F4UOCFREI1JkJgiCyh6oQ87ubEjjp0zhaEqSvihIkWBEEQRBExDm1Z+by9Zdfc2xtAVbtlYow57hdRCYkWBGBQL5VBEEQ2aNjqfkg+/p60lhFCRKsiEAguYogCCIcnl3DyXk9QlC6BUIJ95htjgQsgiCI7LO1WT9GUx6r6EAaKyIQqDMTBEHkhtYExwtr1YtfcssIHxKsiECgzkwQBJEbVu0F/rFGrbEiwocEK0JJVVUVqqqqXB9H8hVBEER2aRMD9sT129btTf6nMTh8yMeKUDJr1ixX+1NnJgiCCI9n15DOKiqQxooIFDIJEgRBZJe3N5kLUTQEhw8JVkQgUGcmCILILm21GfuRFaSdijIkWBGBQIIVQRBEdtmbCLsFhBNIsCKCgen+EQRBECFAY3D4kGBFBAJ1ZoIgiOzSszxz2w8H6UdfRokXQoeiAgklEydOdLU/CVYEQRDZ5aHRMVxSr7cHntGT4YmGtDBFAUThQ4IVoaS2tjbsJhAEQRASB3XQvx/bGRjUTi9JlZNgFTpkCiQCgfoyQRBEdmEGddQTh2VO4WU0GIcOCVaEkvr6etTX1zven9TPBEEQuaU8ljnwKjYROYZMgYSS6upqAADn7hwhqU8TBEFkn87S7D2hF8ObG8lpPSqQYEUEAglUBEEQuWN7a/r17w5iGNgWuKw/A3aE1yYiCQlWRKCQSZAgCCK3lMUYarS0C602+xLZh3ysiEAgeYogCIIgSLAiAoI0VQRBELmjS1nYLSDMIMGKCASSqwiCILLP6T2So+22lpAbQphCghURKC6DCAmCIAgXHNAu7BYQdpDzOqGkrq7O1f6ksSIIgsg+dU20eo06JFgRSqqqqjwdR12eIAgie5zRk2H2dhppowyZAolAIOd1giCI7NOdigFGHhKsCCU1NTWoqalxvD91dYIgiOzTs03y/+X9adSNKmQKJJRMmTIFAFBbW+tof9HFSUFNEASRPUZ3Ynji0BjGVobdEsIMEqyIQBCCVYIkK4IgiKwyvitpq6IMmQKJYKB+ThAEQRAkWBHBQgorgiAIopghwYoIBFJYEQRBEAQJVgRBEARBEIFBzuuEkrFjx7raX0joVNKGIAiCKGZIsCKU1NfXu9pfJAgluYogCIIoZsgUSAQKCVYEQRBEMUOCFREoJFgRBEEQxQwJVoQSxhiYiwKAFBVIEARBECRYEUFDKiuCIAiiiCHBigiEGDmvEwRBEIR3wYoxNoAxNo0x9jVjbAFj7Cfa9q6MsfcYY0u0/12Cay4RVagIM0EQBEH401i1Avg553wkgPEArmOMjQRwC4CpnPPhAKZq74kigQQrgiAIopjxLFhxztdzzmdpr3cCWAigH4BzADyj7fYMgHN9tpEgCIIgCCIvCMTHijE2CMDhAGYC6MU5X699tAFAL5NjahhjdYyxusbGxiCaQUQAyrxOEARBFDO+M68zxjoAeAXAjZzzHXKIPuecM8aUUy3nvBZALQBUV1fTdBwxJk+e7Gp/8rEiCIIgCJ+CFWOsDEmh6p+c81e1zRsZY3045+sZY30AbPLbSCL31NTUuNrfRcorgiAIgihY/EQFMgBPAVjIOf+L9NEbAK7UXl8J4HXvzSPyBdJYEQRBEIQ/jdUxAK4AMI8xNkfb9isA9wB4iTF2DYCVAL7rq4VEKNTW1gJwrrlKCVYkWREEQRBFjGfBinP+CcwrmZzs9bxENJg0aRIAD4JVltpDEARBEPkAZV4ngoEyrxMEQRAECVZEMJDvOkEQBEGQYEUEBPlYEQRBEAQJVkRAkI8VQRAEQZBgRQQEIx8rgiAIgiDBiggWEqwIgiCIYsZ3SRuiMOEunaVSzuskWREEQRBFDGmsiECgqECCIAiCIMGKCAjhY5UItxkEQRAEESokWBFKqqqqUFVV5Xh/igokCIIgCPKxIkyYNWtW2E0gCIIgiLyDNFZEoFCCUIIgCKKYIcGKCAQyBRIEQRAECVZEQDAKCyQIgiAIEqwIgiAIgiCCggQrIhDEg0SmQIIgCKKYoahAQsnEiRNd7Z/ysSLJiiAIgihiSLAilNTW1no6juQqgiAIopghUyARDOS8ThAEQRAkWBFq6uvrUV9f7/o40lgRBEEQxQyZAgkl1dXVAADu0GmKFFYEQRAEQRorIiBIsCIIgiAIEqyIgKCoQIIgCIIgwYoICJF5PRFuMwiCIAgiVEiwIgiCIAiCCAgSrIhAIUsgQRAEUcyQYEUEQsp5nSQrgiAIooihdAuEkrq6Olf7U1QgQRAEQZBgRZhQVVXl6ThSWBEEQRDFDJkCiUCIaSorEqwIgiCIYoYEK0JJTU0NampqXB9HghVBEARRzJBgRSiZMmUKpkyZ4vo4ShBKEARBFDMkWBGBQM7rBEEQBEGCFREwpLAiCIIgihkSrIhAYKSyIgiCIAgSrIhgILmKIAiCIEiwIgJCCFZkCiQIgiCKGUoQSigZO3asq/2FYJUgyYogCIIoYkiwIpTU19e7O4BsgQRBEARBpkAiWEhhRRAEQRQzJFgRgUAKK4IgCIIgwYowgTEG5iKHAglWBEEQBEGCFREwVNKGIAiCKGZIsCICIaaprChRKEEQBFHMUFQgEQgndWe4qC/ww0EkWREEQRDFCwlWRCCUxRh+fSAJVQRBEERxkxVTIGPsDMbYIsbYUsbYLdm4BkEQBEEQRNQIXLBijJUAeBTAmQBGAriUMTYy6OsQBEEQBEFEjWyYAscBWMo5Xw4AjLEXAJwD4OssXIvIEpMnTw67CQRBEASRd2RDsOoHYLX0fg2AI7NwHSKL1NTUhN0EgiAIgsg7Qku3wBirYYzVMcbqGhsbw2oGQRAEQRBEYGRDsFoLYID0vr+2TQfnvJZzXs05r+7Ro0cWmkH4oba2FrW1tWE3gyAIgiDyimwIVl8CGM4YG8wYKwdwCYA3snAdIotMmjQJkyZNCrsZBEEQBJFXBO5jxTlvZYxdD+BdACUAnuacLwj6OgRBEARBEFEjKwlCOedvAXgrG+cmCIIgCIKIKlQrkCAIgiAIIiBIsCIIgiAIgggIEqwIgiAIgiACggQrgiAIgiCIgGCc87DbAMZYI4CVLg/rDmBzFppD6KH7nJ/Q75Yb6D7nJ/S75YZCvs8DOefKJJyREKy8wBir45xXh92OQofuc35Cv1tuoPucn9DvlhuK9T6TKZAgCIIgCCIgSLAiCIIgCIIIiHwWrKiQXW6g+5yf0O+WG+g+5yf0u+WGorzPeetjRRAEQRAEETXyWWNFEARBEAQRKQITrBhjAxhj0xhjXzPGFjDGfqJt78oYe48xtkT730XbPoIxNoMxtp8xdpN0ngrG2BeMsbnaef6fxTXfYYw1Mcb+a9j+T8bYIsbYfMbY04yxMpPjBzPGZjLGljLGXmSMlWvbj2eMzWKMtTLGLgzi/gRFnt7n67V7zBlj3aXtJzDGtjPG5mh/t/u9P1ElqN9NOl8JY2y28Tcx7HOldt4ljLErpe13McZWM8Z22bS5ijE2T/vtHmKMMW37Rdp3SDDGIhXxk6f3WbkfY+wqxlij1D+udXs/8oWo/G6MsXaMsTcZY99o7bjH4njqH7m5z/nXPzjngfwB6ANgrPa6I4DFAEYCuBfALdr2WwD8UXvdE8ARAO4CcJN0Hgagg/a6DMBMAONNrnkygG8D+K9h+1naeRiA5wH8yOT4lwBcor1+QuwHYBCAQwE8C+DCoO5REd/nw7V72gCgu7T9BOM5C/UvqN9NOt/PADxndv8AdAWwXPvfRXvdRftsvNaeXTZt/kLblwF4G8CZ2vaDARwEYDqA6rDvbQHcZ+V+AK4C8EjY97SYfjcA7QCcqO1TDuBj8dwrzkH9Izf3Oe/6R2AaK875es75LO31TgALAfQDcA6AZ7TdngFwrrbPJs75lwBaDOfhnHMhmZZpf0pHMM75VAA7Fdvf0s7DkXz4+xv30VYXJwF4WdG2Bs75VwASTr57Lsm3+6ztN5tz3uDiaxYcQf1uAMAY6w9gAoAnLS55OoD3OOdbOefbALwH4Azt3J9zztdbtZcx1gdAJ21fjuQiQ7RtIed8kZPvnWvy7T672a+Qicrvxjnfwzmfpl2jGcAsqOcP6h85uM/a53nXP7LiY8UYG4SklmImgF7STdkAoJeD40sYY3MAbELyR5npsR1lAK4A8I7i424Amjjnrdr7NUg+YHlDntxnO45iSXPk24yxQ7xcP9/w+7sBeADAL2At+PcDsFp67/b57qcd4/X40MmT+2zHBYyxrxhjLzPGBgR43sgSld+NMVaJpKZ+qsnx1D+yf5/tiGT/CFywYox1APAKgBs55zvkzzTJ3jYMkXMe55yPQVKCHccYG+WxOY8B+Ihz/rHH4yNLgdznWUiWBTgMwMMAXvN4/bzB7+/GGDsbwCbOeX32Wpn/FMh9/g+AQZzzQ5Fc6T9js3/eE5XfjTFWiqR7w0Oc8+V+zhVFCuQ+R7Z/BCpYaZqLVwD8k3P+qrZ5o6Y2FerTTU7PxzlvAjANwBmMsSMlJ7XvOGjLbwH0QNIGLLa9qx3/JIAtACq1HxZIChdrnbYtTPLsPltdd4cwR3LO3wJQxiTn9kIjoN/tGADfYYw1AHgBwEmMsX8ofre1AOQVnOXzLbSX2t8d2r6yar7Y+keu7rMpnPMtnPP92tsnAVTZtDmvidjvVgtgCef8Ae3a1D/05Oo+mxLp/sGDc4pjSNqZHzBs/xP0TnH3Gj7/HfRO1T0AVGqv2yLp1Ha2xXVPQKZT9bUAPgPQ1qbN/4Leef3Hhs//hug5r+fdfZb2b4Deeb030rnUxgFYJd4X2l9Qv5vdbyJ91hXACiQdRbtor7sa9nHrvH6W4fPpiJ5zbt7dZ7P9APSRXp8H4POw728x/G4A7kRS8IjZtJn6Rw7us3SuvOkfQf5gxyKpPvwKwBzt7ywkfZmmAlgC4H3ppvZG0t66A0CT9roTktF4s7XzzAdwu8U1PwbQCGCvdvzp2vZWAMukdijPAWCI1jmWIilktdG2H6GdbzeSmq0FYf9QeX6fb9COawWwDsCT2vbrASwAMBfA5wCODvv+Rv13M5zzBFhEVQL4gfZsLwVwtbT9Xu18Ce3/70yOr9aejWUAHkFaCD5PO24/gI0A3g37/ub5fVbuB+BuqX9MAzAi7Ptb6L8bkhoVjqRTt2jHtdQ/Qr3Pedc/KPM6QRAEQRBEQFDmdYIgCIIgiIAgwYogCIIgCCIgSLAiCIIgCIIICBKsCIIgCIIgAoIEK4IgCIIgiIAgwYogCIIgCCIgSLAiCIIgCIIICBKsCIIgCIIgAuL/A737G8fd7KV1AAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "from merlion.plot import plot_anoms\n", "from merlion.utils import TimeSeries\n", "from ts_datasets.anomaly import NAB\n", "\n", "# This is a time series with anomalies in both the train and test split.\n", "# time_series and metadata are both time-indexed pandas DataFrames.\n", "time_series, metadata = NAB(subset=\"realKnownCause\")[3]\n", "\n", "# Visualize the full time series\n", "fig = plt.figure(figsize=(10, 6))\n", "ax = fig.add_subplot(111)\n", "ax.plot(time_series)\n", "\n", "# Label the train/test split with a dashed line & plot anomalies\n", "ax.axvline(metadata[metadata.trainval].index[-1], ls=\"--\", lw=2, c=\"k\")\n", "plot_anoms(ax, TimeSeries.from_pd(metadata.anomaly))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we'll split the data into train & test splits, and run our anomaly detection model on it." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Get training split\n", "train = time_series[metadata.trainval]\n", "train_data = TimeSeries.from_pd(train)\n", "train_labels = TimeSeries.from_pd(metadata[metadata.trainval].anomaly)\n", "\n", "# Get testing split\n", "test = time_series[~metadata.trainval]\n", "test_data = TimeSeries.from_pd(test)\n", "test_labels = TimeSeries.from_pd(metadata[~metadata.trainval].anomaly)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ " anom_score\n", "time \n", "2013-12-02 21:15:00 -9.065700\n", "2013-12-02 21:20:00 -8.097140\n", "2013-12-02 21:25:00 -6.908860\n", "2013-12-02 21:30:00 -4.892315\n", "2013-12-02 21:35:00 -3.703186\n", "... ...\n", "2013-12-14 16:25:00 15.041999\n", "2013-12-14 16:30:00 14.494303\n", "2013-12-14 16:35:00 16.234568\n", "2013-12-14 16:40:00 15.160902\n", "2013-12-14 16:45:00 15.055357\n", "\n", "[3403 rows x 1 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Initialize a model & train it. The dataframe returned & printed\n", "# below is the model's anomaly scores on the training data.\n", "model = StatThreshold(StatThresholdConfig())\n", "model.train(train_data=train_data, anomaly_labels=train_labels)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " no post rule with post rule\n", "time \n", "2013-12-14 16:50:00 14.520900 0.0\n", "2013-12-14 16:55:00 15.065935 0.0\n", "2013-12-14 17:00:00 15.825172 0.0\n", "2013-12-14 17:05:00 13.846644 0.0\n", "2013-12-14 17:10:00 15.050966 0.0\n", "... ... ...\n", "2014-02-19 15:05:00 15.152393 0.0\n", "2014-02-19 15:10:00 14.771146 0.0\n", "2014-02-19 15:15:00 14.102446 0.0\n", "2014-02-19 15:20:00 15.023830 0.0\n", "2014-02-19 15:25:00 13.870839 0.0\n", "\n", "[19280 rows x 2 columns]\n" ] } ], "source": [ "# Let's run the our model on the test data, both with and without\n", "# applying the post-rule. Notice that applying the post-rule filters out\n", "# a lot of entries!\n", "import pandas as pd\n", "anom_scores = model.get_anomaly_score(test_data).to_pd()\n", "anom_labels = model.get_anomaly_label(test_data).to_pd()\n", "print(pd.DataFrame({\"no post rule\": anom_scores.iloc[:, 0],\n", " \"with post rule\": anom_labels.iloc[:, 0]}))" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " anom_score\n", "time \n", "2013-12-16 06:40:00 -3.024196\n", "2013-12-16 06:45:00 -3.012073\n", "2013-12-16 07:00:00 -3.468464\n", "2013-12-16 07:05:00 -3.124039\n", "2013-12-16 07:10:00 -3.491421\n", "... ...\n", "2014-02-09 11:35:00 -4.819248\n", "2014-02-09 11:40:00 -4.823173\n", "2014-02-09 11:45:00 -4.822201\n", "2014-02-09 11:50:00 -4.677379\n", "2014-02-09 11:55:00 -4.300280\n", "\n", "[721 rows x 1 columns]\n" ] } ], "source": [ "# Additionally, notice that the nonzero post-processed anomaly scores,\n", "# are interpretable as z-scores. This is due to the automatic calibration.\n", "print(anom_labels[anom_labels.iloc[:, 0] != 0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualization\n", "\n", "Qualitatively, we can plot the anomaly score sequences to see the difference." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "no post rule\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"no post rule\")\n", "fig, ax = model.plot_anomaly(test_data, filter_scores=False)\n", "plot_anoms(ax, test_labels)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "with post rule\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"with post rule\")\n", "fig, ax = model.plot_anomaly(test_data, filter_scores=True)\n", "plot_anoms(ax, test_labels)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Customizing the Post-Rule\n", "\n", "The example above uses a simple threshold as the post-processing rule. As a result, the model is continuously firing alerts when the differenced time series value is far from 0. We support an alternative option which combines successive alerts into a single alert. We demonstrate this below." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from merlion.post_process.threshold import AggregateAlarms\n", "\n", "# We use a custom post-rule (AggegateAlarms instead of the default Threshold),\n", "# where we suppress all alarms for a day after the most recent one is fired.\n", "threshold = AggregateAlarms(alm_threshold=3.0, alm_suppress_minutes=24*60)\n", "model2 = StatThreshold(StatThresholdConfig(threshold=threshold))\n", "\n", "# Train the model as before\n", "model2.train(train_data, train_labels)\n", "\n", "# Visualize the model's anomaly scores with the new post-rule\n", "fig, ax = model2.plot_anomaly(test_data, filter_scores=True)\n", "plot_anoms(ax, test_labels)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Quantitative Evaluation\n", "\n", "Finally, you may quantitatively evaluate the performance of your model as well. Here, we compute precision, recall, and F1 score for `model2` above." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model Evaluation\n", "Precision: 0.5000\n", "Recall: 1.0000\n", "F1 Score: 0.6667\n" ] } ], "source": [ "anom_labels2 = model2.get_anomaly_label(test_data)\n", "\n", "print(\"Model Evaluation\")\n", "print(f\"Precision: {TSADMetric.Precision.value(ground_truth=test_labels, predict=anom_labels2):.4f}\")\n", "print(f\"Recall: {TSADMetric.Recall.value(ground_truth=test_labels, predict=anom_labels2):.4f}\")\n", "print(f\"F1 Score: {TSADMetric.F1.value(ground_truth=test_labels, predict=anom_labels2):.4f}\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.5" } }, "nbformat": 4, "nbformat_minor": 4 }