diff --git a/examples/bart/bart_categorical_hawks.ipynb b/examples/bart/bart_categorical_hawks.ipynb new file mode 100644 index 000000000..03b8a6acf --- /dev/null +++ b/examples/bart/bart_categorical_hawks.ipynb @@ -0,0 +1,2575 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d68537ba", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "(bart_categorical)=\n", + "# Categorical regression\n", + "\n", + ":::{post} May, 2024\n", + ":tags: BART, regression\n", + ":category: beginner, reference\n", + ":author: Pablo Garay, Osvaldo Martin\n", + ":::" + ] + }, + { + "cell_type": "markdown", + "id": "0cf4f392-fdc7-4175-9e72-c8a334abea84", + "metadata": {}, + "source": [ + "In this example, we will model outcomes with more than two categories. \n", + ":::{include} ../extra_installs.md\n", + ":::" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "7c087cca", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import warnings\n", + "\n", + "import arviz as az\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import pymc as pm\n", + "import pymc_bart as pmb\n", + "import seaborn as sns\n", + "\n", + "warnings.simplefilter(action=\"ignore\", category=FutureWarning)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "25cf7b45", + "metadata": {}, + "outputs": [], + "source": [ + "# set formats\n", + "RANDOM_SEED = 8457\n", + "az.style.use(\"arviz-darkgrid\")" + ] + }, + { + "cell_type": "markdown", + "id": "e73740d8-8e70-48b4-b6f9-eb0c1f7ce72f", + "metadata": {}, + "source": [ + "## Hawks dataset \n", + "\n", + "Here we will use a dataset that contains information about 3 species of hawks (*CH*=Cooper's, *RT*=Red-tailed, *SS*=Sharp-Shinned). This dataset has information for 908 individuals in total, each one containing 16 variables, in addition to the species. To simplify the example, we will use the following 5 covariables: \n", + "- *Wing*: Length (in mm) of primary wing feather from tip to wrist it attaches to. \n", + "- *Weight*: Body weight (in gr). \n", + "- *Culmen*: Length (in mm) of the upper bill from the tip to where it bumps into the fleshy part of the bird. \n", + "- *Hallux*: Length (in mm) of the killing talon. \n", + "- *Tail*: Measurement (in mm) related to the length of the tail. \n", + "\n", + "Also we are going to eliminate the NaNs in the dataset. With these we will predict the \"Species\" of hawks, in other words, these are our dependent variables, the classes we want to predict. " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "71f3a9bc-979f-44fc-8227-133349e4dfb1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
WingWeightCulmenHalluxTailSpecies
0385.0920.025.730.1219RT
2381.0990.026.731.3235RT
3265.0470.018.723.5220CH
4205.0170.012.514.3157SS
5412.01090.028.532.2230RT
\n", + "
" + ], + "text/plain": [ + " Wing Weight Culmen Hallux Tail Species\n", + "0 385.0 920.0 25.7 30.1 219 RT\n", + "2 381.0 990.0 26.7 31.3 235 RT\n", + "3 265.0 470.0 18.7 23.5 220 CH\n", + "4 205.0 170.0 12.5 14.3 157 SS\n", + "5 412.0 1090.0 28.5 32.2 230 RT" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Load data and eliminate NANs\n", + "try:\n", + " Hawks = pd.read_csv(os.path.join(\"..\", \"data\", \"Hawks.csv\"))[\n", + " [\"Wing\", \"Weight\", \"Culmen\", \"Hallux\", \"Tail\", \"Species\"]\n", + " ].dropna()\n", + "except FileNotFoundError:\n", + " Hawks = pd.read_csv(pm.get_data(\"Hawks.csv\"))[\n", + " [\"Wing\", \"Weight\", \"Culmen\", \"Hallux\", \"Tail\", \"Species\"]\n", + " ].dropna()\n", + "\n", + "Hawks.head()" + ] + }, + { + "cell_type": "markdown", + "id": "dcd94b1d-c0e1-417a-bef2-07fb09bd16af", + "metadata": {}, + "source": [ + "## EDA \n", + "The following compares covariables to get a rapid data visualization for the 3 species. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "5d72ac94-e129-4c56-a20a-896071084851", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/pablo/anaconda3/envs/py310/lib/python3.10/site-packages/seaborn/axisgrid.py:123: UserWarning: The figure layout has changed to tight\n", + " self._figure.tight_layout(*args, **kwargs)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.pairplot(Hawks, hue=\"Species\");" + ] + }, + { + "cell_type": "markdown", + "id": "d23645c6", + "metadata": {}, + "source": [ + "It can be seen that the RT species have distributions more differentiated than the other two in almost all covariables, and the covariables wing, weight, and culmen present certain separations between species. Still, none of the variables have a marked separation among the species distributions such that they can cleanly separate them. It is possible to make a combination of covariables, probably wing, weight, and culmen, to achieve the classification. These are the principal reasons for realizing the regression. " + ] + }, + { + "cell_type": "markdown", + "id": "837acd3c-3799-4636-b543-6584e3bf36ba", + "metadata": {}, + "source": [ + "## Model Specification \n", + "\n", + "First, we are going to prepare the data for the model, using \"Species\" as response and, \"Wing\", \"Weight\", \"Culmen\", \"Hallux\" and \"Tail\" as predictors. Using `pd.Categorical(Hawks['Species']).codes` we can codify the name species into integers between 0 and 2, being 0=\"CH\", 1=\"RT\" and 2=\"SS\". " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "0cef813f-4b9e-45cc-9de8-0b572ff24a71", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "891 (891, 5) (891,)\n" + ] + } + ], + "source": [ + "y_0 = pd.Categorical(Hawks[\"Species\"]).codes\n", + "x_0 = Hawks[[\"Wing\", \"Weight\", \"Culmen\", \"Hallux\", \"Tail\"]]\n", + "print(len(x_0), x_0.shape, y_0.shape)" + ] + }, + { + "cell_type": "markdown", + "id": "9fad0a4e-951a-4bc3-ba67-31de2336d66e", + "metadata": {}, + "source": [ + "We only can have an instance of {class}`~pymc_bart.BART()` in each pymc model (for now), so to model 3 species we can use coordinate and dimension names to specify the shapes of variables, *indicating* that there are 891 rows of information for 3 species. This step facilite the later selection of groups from the `InferenceData`. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bc1f6da6-4658-4515-a7f0-85a4dde4f913", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['CH', 'RT', 'SS'], dtype='object')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "_, species = pd.factorize(Hawks[\"Species\"], sort=True)\n", + "species" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "28aaff11-b625-48b2-81cb-e53ed9db299e", + "metadata": {}, + "outputs": [], + "source": [ + "coords = {\"n_obs\": np.arange(len(x_0)), \"species\": species}" + ] + }, + { + "cell_type": "markdown", + "id": "ed6f7fe2-5fb9-4b35-8713-2b8f849d519a", + "metadata": {}, + "source": [ + "In this model we use the `pm.math.softmax()` function, for $\\mu$ from `pmb.BART()`, because guarantees that the vector sums to 1 along the `axis=0` in this case. " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c8e25287-6a64-4426-9bae-ee0403933d97", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "clusterspecies (3) x n_obs (891)\n", + "\n", + "species (3) x n_obs (891)\n", + "\n", + "\n", + "cluster3 x 891\n", + "\n", + "3 x 891\n", + "\n", + "\n", + "cluster891\n", + "\n", + "891\n", + "\n", + "\n", + "\n", + "μ\n", + "\n", + "μ\n", + "~\n", + "BART_μ\n", + "\n", + "\n", + "\n", + "θ\n", + "\n", + "θ\n", + "~\n", + "Deterministic\n", + "\n", + "\n", + "\n", + "μ->θ\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "y\n", + "\n", + "y\n", + "~\n", + "Categorical\n", + "\n", + "\n", + "\n", + "θ->y\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model(coords=coords) as model_hawks:\n", + " μ = pmb.BART(\"μ\", x_0, y_0, m=50, dims=[\"species\", \"n_obs\"])\n", + " θ = pm.Deterministic(\"θ\", pm.math.softmax(μ, axis=0))\n", + " y = pm.Categorical(\"y\", p=θ.T, observed=y_0)\n", + "\n", + "pm.model_to_graphviz(model=model_hawks)" + ] + }, + { + "cell_type": "markdown", + "id": "2a11faec-d6fd-4f71-bf6a-3bf465340075", + "metadata": {}, + "source": [ + " Now fit the model and get samples from the posterior." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "8354d731-7b27-4c01-84d3-7279842598cb", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Multiprocess sampling (4 chains in 3 jobs)\n", + "PGBART: [μ]\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d937c8183fca496aaf2aae397436c1a5", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "
\n" + ], + "text/plain": [ + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 155 seconds.\n", + "Sampling: [y]\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a9c75e927fb440f6ae09ae520f115714", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "
\n" + ], + "text/plain": [ + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with model_hawks:\n", + " idata = pm.sample(chains=4, compute_convergence_checks=False, random_seed=123)\n", + " pm.sample_posterior_predictive(idata, extend_inferencedata=True)" + ] + }, + { + "cell_type": "markdown", + "id": "fb2e357e-502e-4ac5-9d53-928437bd2a4e", + "metadata": {}, + "source": [ + "## Results \n", + "\n", + "### Variable Importance \n", + "\n", + "It may be that some of the input variables are not informative for classifying by species, so in the interest of parsimony and in reducing the computational cost of model estimation, it is useful to quantify the importance of each variable in the dataset. PyMC-BART provides the function {func}`~pymc_bart.plot_variable_importance()`, which generates a plot that shows on his x-axis the number of covariables and on the y-axis the R$^2$ (the square of the Pearson correlation coefficient) between the predictions made for the full model (all variables included) and the restricted models, those with only a subset of the variables. The error bars represent the 94 % HDI from the posterior predictive distribution. " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "a9d1c616-8c1f-4907-ad5a-adffb290c0c2", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pmb.plot_variable_importance(idata, μ, x_0, method=\"VI\", random_seed=RANDOM_SEED);" + ] + }, + { + "cell_type": "markdown", + "id": "70e45086-9516-4d2e-9357-56c1f4cfc9d4", + "metadata": {}, + "source": [ + "It can be observed that with the covariables `Hallux`, `Culmen`, and `Wing` we achieve the same R$^2$ value that we obtained with all the covariables, this is that the last two covariables contribute less than the other three to the classification. One thing we have to take into account in this is that the HDI is quite wide, which gives us less precision on the results, later we are going to see a way to reduce this. " + ] + }, + { + "cell_type": "markdown", + "id": "9f6a3a64-244c-4902-b6ee-d8f2cb192ee4", + "metadata": {}, + "source": [ + "### Partial Dependence Plot\n", + "\n", + "Let's check the behavior of each covariable for each species with `pmb.plot_pdp()`, which shows the marginal effect a covariate has on the predicted variable, while we average over all the other covariates. " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "d07c4ab5-5881-4dea-aab6-d857b7710682", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pmb.plot_pdp(μ, X=x_0, Y=y_0, grid=(5, 3), figsize=(6, 9));" + ] + }, + { + "cell_type": "markdown", + "id": "79778c32-0ad5-4553-9279-1ec054909d3d", + "metadata": {}, + "source": [ + "The pdp plot, together with the Variable Importance plot, confirms that `Tail` is the covariable with the smaller effect over the predicted variable. In the Variable Importance plot `Tail` is the last covariable to be added and does not improve the result, in the pdp plot `Tail` has the flattest response. For the rest of the covariables in this plot, it's hard to see which of them have more effect over the predicted variable, because they have great variability, showed in the HDI wide, same as before later we are going to see a way to reduce this variability. Finally, some variability depends on the amount of data for each species, which we can see in the `counts` from one of the covariables using Pandas `.describe()` and grouping the data from \"Species\" with `.groupby(\"Species\")`. " + ] + }, + { + "cell_type": "markdown", + "id": "af3f0f6e-706f-4bb0-80b1-36fd5997d010", + "metadata": {}, + "source": [ + "### Predicted vs Observed \n", + "\n", + "Now we are going to compare the predicted data with the observed data to evaluate the fit of the model, we do this with the Arviz function `az.plot_ppc()`. " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b807f230", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = az.plot_ppc(idata, kind=\"kde\", num_pp_samples=200, random_seed=123)\n", + "# plot aesthetics\n", + "ax.set_ylim(0, 0.7)\n", + "ax.set_yticks([0, 0.2, 0.4, 0.6])\n", + "ax.set_ylabel(\"Probability\")\n", + "ax.set_xticks([0.5, 1.5, 2.5])\n", + "ax.set_xticklabels([\"CH\", \"RT\", \"SS\"])\n", + "ax.set_xlabel(\"Species\");" + ] + }, + { + "cell_type": "markdown", + "id": "24c05611-1d2d-424c-9546-a5ab840cebe1", + "metadata": {}, + "source": [ + "We can see a good agreement between the observed data (black line) and those predicted by the model (blue and orange lines). As we mentioned before, the difference in the values between species is influenced by the amount of data for each one. Here there is no observed dispersion in the predicted data as we saw in the previous two plots. " + ] + }, + { + "cell_type": "markdown", + "id": "cb877ab9-b941-467d-9602-d72e702e6b93", + "metadata": {}, + "source": [ + "Below we see that the in-sample predictions provide very good agreement with the observations. " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "11282942", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.DataArray 'y' ()> Size: 8B\n",
+       "array(96.34186308)
" + ], + "text/plain": [ + " Size: 8B\n", + "array(96.34186308)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.mean((idata.posterior_predictive[\"y\"] - y_0) == 0) * 100" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "a591793d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Size: 8B\n", + "array(6.06369248)\n", + " Size: 8B\n", + "array(62.75785634)\n", + " Size: 8B\n", + "array(27.52031425)\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.DataArray 'y' ()> Size: 8B\n",
+       "array(96.34186308)
" + ], + "text/plain": [ + " Size: 8B\n", + "array(96.34186308)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all = 0\n", + "for i in range(3):\n", + " perct_per_class = np.mean(idata.posterior_predictive[\"y\"].where(y_0 == i) == i) * 100\n", + " all += perct_per_class\n", + " print(perct_per_class)\n", + "all" + ] + }, + { + "cell_type": "markdown", + "id": "488792c2-e8a0-4d5f-b57c-8f1d2d7e5414", + "metadata": {}, + "source": [ + "So far we have a very good result concerning the classification of the species based on the 5 covariables. However, if we want to select a subset of covariable to perform future classifications is not very clear which of them to select. Maybe something sure is that `Tail` could be eliminated. At the beginning when we plot the distribution of each covariable we said that the most important variables to make the classification could be `Wing`, `Weight` and, `Culmen`, nevertheless after running the model we saw that `Hallux`, `Culmen` and, `Wing`, proved to be the most important ones.\n", + "\n", + "Unfortunatelly, the partial dependence plots show a very wide dispersion, making results look suspicious. One way to reduce this variability is adjusting independent trees, below we will see how to do this and get a more accurate result. " + ] + }, + { + "cell_type": "markdown", + "id": "87ca460c-61ef-4fc9-a5fc-f58bdebe248e", + "metadata": {}, + "source": [ + "## Fitting independent trees \n", + "\n", + "The option to fit independent trees with `pymc-bart` is set with the parameter `pmb.BART(..., separate_trees=True, ...)`. As we will see, for this example, using this option doesn't give a big difference in the predictions, but helps us to reduce the variability in the ppc and get a small improvement in the in-sample comparison. In case this option is used with bigger datasets you have to take into account that the model fits more slowly, so you can obtain a better result at the expense of computational cost. The following code runs the same model and analysis as before, but fitting independent trees. Compare the time to run this model with the previous one. " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "eaf020bd-fd05-4ffd-a3f7-98f3a4a5c6ad", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Multiprocess sampling (4 chains in 3 jobs)\n", + "PGBART: [μ]\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4e929298cc5f4262a0302f7d4e8366ab", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "
\n" + ], + "text/plain": [ + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 423 seconds.\n", + "Sampling: [y]\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "fd3bc21fab6642fa80eb59bfd081901f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "
\n" + ], + "text/plain": [ + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with pm.Model(coords=coords) as model_t:\n", + " μ_t = pmb.BART(\"μ\", x_0, y_0, m=50, separate_trees=True, dims=[\"species\", \"n_obs\"])\n", + " θ_t = pm.Deterministic(\"θ\", pm.math.softmax(μ_t, axis=0))\n", + " y_t = pm.Categorical(\"y\", p=θ_t.T, observed=y_0)\n", + " idata_t = pm.sample(chains=4, compute_convergence_checks=False, random_seed=123)\n", + " pm.sample_posterior_predictive(idata_t, extend_inferencedata=True)" + ] + }, + { + "cell_type": "markdown", + "id": "60dc23a9-2351-4502-824a-944e0f454c4c", + "metadata": {}, + "source": [ + "Now we are going to reproduce the same analyses as before. " + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "a05a3d39-307a-4c08-93ec-3a0503ea6c25", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pmb.plot_variable_importance(idata_t, μ_t, x_0, method=\"VI\", random_seed=RANDOM_SEED);" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "38535013-27be-438a-b91d-d687d4a6ece2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pmb.plot_pdp(μ_t, X=x_0, Y=y_0, grid=(5, 3), figsize=(6, 9));" + ] + }, + { + "cell_type": "markdown", + "id": "c4da7fc0-7a91-4ab0-81a2-5ed27e65c3ed", + "metadata": {}, + "source": [ + "Comparing these two plots with the previous ones shows a marked reduction in the variance for each one. In the case of `pmb.plot_variable_importance()` there are smallers error bands with an R$^{2}$ value more close to 1. And for `pm.plot_pdp()` we can see thinner bands and a reduction in the limits on the y-axis, this is a representation of the reduction of the uncertainty due to adjusting the trees separately. Another benefit of this is that is more visible the behavior of each covariable for each one of the species. \n", + "\n", + "With all these together, we can select `Hallux`, `Culmen`, and, `Wing` as covariables to make the classification." + ] + }, + { + "cell_type": "markdown", + "id": "2d118516-b630-4b7e-9ebe-364ff8cb9739", + "metadata": {}, + "source": [ + "Concerning the comparison between observed and predicted data, we obtain the same good result with less uncertainty for the predicted values (blue lines). And the same counts for the in-sample comparison. " + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "58bc471b-e67e-4d9b-a504-da5913e923db", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtsAAAHrCAYAAAAe4lGYAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAABiCElEQVR4nO3deVyU5f7/8fcwDDsqIlogbsdcSw0zsVzApVzQ0iw9VtrBHTU1l47lyTI7/syOmdsxt9LUSs0ytzKXLM3dTM00j+YCboWgLLLO/P7wy+QI4iCMM8Tr+Xj06Jrrvu/r/swMI++5ue77NlgsFosAAAAAFDk3ZxcAAAAA/FURtgEAAAAHIWwDAAAADkLYBgAAAByEsA0AAAA4CGEbAAAAcBDCNgAAAOAghG0AAADAQdydXYArS0hIcHYJcKLSpUvrypUrzi4DcCl8LgBbfCZKtoCAgNuuw5Ft4Bbc3Ph4ADfjcwHY4jOB2+EnBAAAAHAQwjYAAADgIIRtAAAAwEEI2wAAAICDELYBAAAAByFsAwAAAA5C2AYAAAAchLANAAAAOAhhGwAAAHAQwjYAAADgIIRtAAAAwEEI2wAAAICDELYBAAAAByFsAwAAAA5C2AYAAAAchLANAAAAOAhhGwAAAHAQwjYAAADgIIRtAAAAwEEI2wAAAICDELYBAAAAByFsAwAAAA5C2AYAAAAchLANAAAAOAhhGwAAAHAQwjYAAADgIIRtAAAAwEEI2wAAAICDELYBAAAAByFsAwAAAA5C2AYAAAAcxN3ZBQDA7ZjNZmeXgP9jNpt5P1yEmxvHy4DigLANwKWZzWZ9vUHKznZ2JZAkH98UpaY4uwoYjdLjj5kJ3EAxQNgG4NLS06X5H0q+vs6uBJLk7p6hrCxnV4GUFCmiheTt7exKANwOYRuAS0tPlxJ/vybP7EzldRAvJdtfksGmz8eYJIMsdo2fZTEp3WybWNwNGfJ0S7O7xmvZvjLLaNPn7ZYiN4N9h+OzLUalmW2/TbgpS97GVLtrSDN7K9tisunzckuV0WBfMrbITanZfjZ9BpnlY0y26csySuZbPK0Ms5cyLR42fR5uaTIZMuyqQZJSskvl6vM1XrV7+0yLhzLMXjZ9JkOGPArwfqZm+8ly0ylNPsZkGWTf9Jlsi7vSzD42fUZDprzcrtldw7VsH5lv+hXt5ZYioyFbZrOUeNmk9HRvwjZQDBC2Abg00zdv6JvWn8rNkPfyNl9vVnK2v03fhjat5G9KznuDm6w920ETDr1u09c+ZLX+VX+83TX2/H6xjifVtOlb2LSHapQ6btf2++PDNGjX+zZ9D5bdp1kPDbC7hpf3TtZ3lyJs+iaFjVTze7batf35a/eoy5bVNn33ep3T4pZP2F3D1CPD9empHjZ9w2r/R92qfmL3GE3W7cnVt6N9uN3bf/pbd039ZYRNX7cqSzWszrt2j9Fl8ypdSAu26VsZ2Un3el+wa/vvLrTQy/vfselrXv5bTXpwlN01xOycrR8vN7Tpm9m4v8IC90uSvNwNit/YTer6ut1jAnAOg8Vise/wTwmUkJDg7BLgRAEBAfwMOJklI1VRD1XVjthMZ5cCuJRHKpq0uVdZpb64XzJxeNuZ+F1RsgUEBNx2Hc6sAOCyUpOvErSBPPwQm6lrmRYpm88H4OqYRgKgWIgdHqQBB1YrNct2XnFytp9unrPta0y2e852psWk9Jvm+LobMuVVoDm+PrnnbBtTZZT9c7av3TzHV1nyNhZgjq/ZW9mWm+f4XpO7nXO2zXJTarbtvHGDzPI13nTpETfpVlOX081eyrxp3riHW7o8CjBn++YpQZLkZ0yye/sMi4cyzJ42fSZDZoHm4Kdk++YxZztFbnbO2c6yuCvtpvMAjIYseRdozra3sm/6Fe3tlioftwta/12k3eMAcD7CNoBiwddkkE/p8pLZ9gQ6n7zXvhslFWkNuSOmJJW+qzX45dlrW5mbu2S+RX4vihoKO0be2xdMUTyP3Kd5SkXxfnrc6uxUAC6LsA2g2OjQQco03n49OI6Pj5Rq/0VSUMTMqdLKNc6uAkBBELYBuC7jn9MB5h3vq1NJnuISz87l4WFURgZHV53FnQ8AUOwQtgG4Lvc/r9l8NrSfuj3tmc/KuBtKlfLS1avcQtJZMq5KM+c6uwoABUHYBlAslC8v1a1zi4tt464JCPBUQgLzSJwl5TKfAaC4IWwDKDYMBoKGsxkMBt4HJzK4/flr+w+3+xToxkkMgKvjOtsAABQXHn9ep+RTv6WSx9298g6AgiNsA3BdWX9en7lR2hwpK92JxQAAUHCEbQCuK/vPcP1wxlzCNgCg2CFsAwAAAA5C2AYAoLi44Q6S5bKP2TwG4JoI2wAAFBeZf152sVvKc1IG1zwHXB1hGwAAAHAQwjYAAADgIC59U5uDBw9q+vTpOnDggDIzM1W9enX16tVLHTt2LNA4ycnJWrBggTZs2KCzZ8/KZDIpNDRUrVq10uDBgx1UPQAAAEo6lw3bu3btUu/evWUymdShQwf5+/trw4YNGjlypOLi4jRgwAC7xjl37px69eqls2fP6pFHHlGLFi2UkZGhM2fO6OuvvyZsAwAAwGFcMmxnZWVp7NixMhgMWrJkierUqSNJGjRokLp3767p06erbdu2qlKlSr7jZGdn68UXX9SlS5f04YcfKjw8PNd+AAAAAEdxyTnbO3fu1JkzZxQVFWUN2pLk5+enmJgYZWVlaeXKlbcd5+uvv9ahQ4cUHR2dK2hLkru7S37XAAAAwF+ES6bN3bt3S5KaNm2aa9mjjz5qs05+1q1bJ0lq27atzp8/r2+//VZJSUkKDQ1V8+bN5evrW4RVAwAAALZcMmyfOnVKklS5cuVcy0qXLq2AgACdPn36tuMcPnxYkrRv3z5NnDhRGRkZ1mVly5bV1KlT1bhx46IpGkDR8/CzNuf6b1YfT38nFgMAQMG5ZNhOTk6WJPn75/2L1c/PTxcuXLjtOPHx8ZKkCRMmKDo6Ws8995w8PDy0du1aTZo0SYMGDdK6detUvnz5PLcvXbq03NxccqYN7pKAgABnl1CieXh4WNs+Af4KKFvWidUgB58L5zFlX7N5XKZMGRm8SzupGuTgM4H8uGTYLioWi0WSFBERoZEjR1r7n3/+eV28eFFz587VihUrFBMTk+f2V65cuSt1wjUFBAQoISHB2WWUaCkpf94dLzFRvB8ugM+Fc6Xc9HspMTFRSjM7pxhI4jNR0tnzRcslD9v6+V3/03FSUlKey5OTk2951DuvcVq2bJlrWWRkpKQ/p5oAAODy3D2tzU1er0kmLycWA8AeLhm2cy7pl9e87CtXrighISHP+dw3q1q1qiSpVKlSuZbl9KWnpxeiUgAA7iLjn1Orjnp0tHkMwDW5ZNhu1KiRJGnbtm25lm3fvl2S9PDDD992nJzL/f3vf//LtSynLyQk5I7rBOBgGcnWZp+rkVJ63n/tAgDAVblk2G7SpIlCQ0O1Zs0a/fLLL9b+5ORkzZo1S+7u7urcubO1//Llyzpx4oQuX75sM06XLl3k4eGhxYsX6+LFizbjvP/++5Kkdu3aOfjZALhj/3fehSR5KtnmMQAAxYFLniDp7u6uCRMmqE+fPurRo4eioqLk5+enDRs2KDY2VsOGDbNOEZGkJUuWaMaMGRo8eLCGDBli7Q8NDdXo0aM1YcIEderUSW3atJGHh4e+/fZbxcXFqVu3bmrSpIkzniIAAABKAJcM29L1KSBLly7VtGnTtH79emVmZqp69eoaOnSoOnXqZPc4zz//vEJCQjR//nytXbtW2dnZql69ugYMGKBnnnnGgc8AAIAilplmbba69rqUOUEyeTuvHgC3ZbBY+LvsrXApn5KNyzk5X8rlCwqtXkeSlDC6vCzDdkteuU94xt3D58K5+Ey4Hj4TJVuxvfQfAAAA8FdA2AYAAAAchLANAAAAOAhhGwAAAHAQwjYAAADgIIRtAAAAwEEI2wBcl5vJ2jxq6iAZTfmsDACA6yFsA3BdJi9rc5P369y8AwBQ7BC2AQAAAAchbAMAUFwYDNZmuvxsHgNwTYRtAACKCw8/a3NeqS2Sp78TiwFgD8I2ANeVnWFt1spYbfMYAIDigLANwHVlpVubrdLGS5lpTiwGAICCI2wDAAAADkLYBgCguLBYrE0PS5LNYwCuibANAEBxkZFsbfZNaimlJzmxGAD2IGwDAAAADkLYBgAAAByEsA0AAAA4CGEbAAAAcBDCNgAAAOAghG0AAADAQQjbAAAAgIMQtgG4LpOPtfmp72LJw9eJxQAAUHCEbQCuy81obf5hrGnzGACA4oCwDQAAADgIYRsAgOLC6Glt7vboK7l75rMyAFdA2AYAoLhw97A293j1I2wDxQBhG4Dryki1Nrsl95AyUpxYDAAABUfYBuC6LNnWZjnzccmcnc/KAAC4HsI2AAAA4CCEbQAAiousDGuzUdocKSvdicUAsAdhGwCA4iL7z3D9cMZcwjZQDBC2AQAAAAchbAMAAAAOQtgGAAAAHISwDQAAADgIYRsAAABwEMI2AAAA4CCEbQCuy2C0NuOMYZKbMZ+VAQBwPYRtAK7Lw8fa/ML3fcnD14nFAABQcIRtAAAAwEEI2wAAAICDELYBACguPPyszbn+myVPfycWA8AehG0ArsucZW0GZ+2zeQyUSAaDtZlh8Ld5DMA1EbYBuK7Ma9Zm59QBUkaqE4sBAKDgCNsAAACAgxC2AQAAAAchbAMAUFxkJFubfa5GSulJTiwGgD0I2wAAFBcWi7XpqWSbxwBcE2EbAAAAcBDCNgAAAOAghG0AAADAQQjbAAAAgIMQtgEAAAAHIWwDAAAADkLYBuC63L2szXXekyWTtxOLAQCg4AjbAFyX0WRt/maKsHkMAEBxQNgGAAAAHISwDQBAceH25193jpo68NceoBggbAMAUFyY/jyPYZP365zHABQDhG0ArivzmrXZLnWklJnqxGIAACg4wjYA12XOsjarZW2VsrPyWRkAANdD2AYAAAAchLANAEBxkZ1hbdbKWG3zGIBrImwDAFBcZKVbm63SxkuZaU4sBoA9CNsAAACAgxC2AQAAAAchbAMAAAAOQtgGAAAAHISwDQAAADgIYRsAAABwEMI2ANdl+POfqKuGe2weAwBQHPCbC4Dr8vC1Nj/yXy15+jmxGAAACo6wDQAAADgIYRsAAABwEMI2AADFhcnH2vzUd7HNVCsAromwDcB1WczWpr/5nM1joERyM1qbfxhr2jwG4JoI2wBcV0aKtdkz+QkpPdmJxQAAUHCEbQAAAMBBCNsAAACAgxC2AQAoLjJSrc1uyT1sploBcE2EbQAAigtLtrVZznxcMmfnszIAV0DYBgAAAByEsA0AAAA4CGEbAAAAcBDCNgAAAOAghG0AAADAQQjbAAAAgIMQtgG4LqOntfm953DJ3cuJxQAAUHCFCtuzZ8/WpUuXiqoWALDl7mFtHvTsYfMYAIDioFBhe+rUqWrZsqUGDRqkrVu3ymKxFFVdAAAAQLFXqLA9ePBglS9fXps2bdKAAQMUERGh6dOn69y5c0VVHwAAyGEwWptxxjDJzZjPygBcQaHD9qZNmzRnzhy1adNG8fHxmjlzplq3bq2+ffvqm2++UXY2t5IFAKBIePhYm1/4vi95+DqxGAD2cC/sAAaDQc2bN1fz5s11+fJlffbZZ1qxYoW+//57bdu2TWXLllWXLl3UtWtXVa5cuShqBlBSZKZbm03T/iNl/lMycZIkAKD4KNKrkZQtW1Z9+/bV119/rY8++kjt2rVTfHy85s2bp7Zt26pXr1765ptvinKXAP7KzBnWZv2MT6TsjHxWBgDA9Tjk0n9nz57Vtm3btHfvXkmSxWJRUFCQdu3apRdffFFPP/20Lly44IhdAwAAAC6jyMJ2Zmam1q1bp3/84x96/PHH9f777ys9PV09e/bU2rVr9d1332np0qVq3ry5Dh06pDfffLOodg0AQMlgzrI2g7P22TwG4JoKPWf7xIkTWr58uVatWqXExERZLBY1aNBA3bt3V7t27eTp+edNKcLCwvT+++/rmWee0a5duwq7awAASpbMa9Zm59QBsmTslrxKObEgALdTqLDdo0cP/fjjj7JYLPLz81P37t3VvXt31axZM9/tqlevrkOHDhVm1wAAAIDLK1TY3r9/v+rWravu3bsrKipK3t7edm339NNPq1GjRoXZNQAAAODyChW2ly9frgceeKDA2z344IN68MEHC7NrAAAAwOUV6gTJrVu3atOmTbddb/PmzZoxY0ZhdgUAAAAUO4UK2zNmzNDGjRtvu97mzZs1c+bMwuwKAAAAKHYccp3tm2VnZ8vN7a7sCgAAAHAZdyUB/+9//1OpUgW/NNHBgwfVt29fNWrUSA0aNFDXrl21evXqO64jMzNTTzzxhGrWrKm2bdve8TgAAACAPQp8guSYMWNsHu/fvz9XX47s7Gz99ttvOnz4sFq3bl2g/ezatUu9e/eWyWRShw4d5O/vrw0bNmjkyJGKi4vTgAEDClq6Zs2apTNnzhR4OwBO4ulvbc4stUcxXv75rAwAgOspcNj+/PPPrW2DwaDTp0/r9OnT+W5Ts2ZNjR492u59ZGVlaezYsTIYDFqyZInq1KkjSRo0aJC6d++u6dOnq23btqpSpYrdY/7888+aM2eO/vnPf2rChAl2bwcAAADcqQKH7UWLFkmSLBaLevXqpWbNmqlv3755rmsymVS+fHmFhIQUaB87d+7UmTNn1KVLF2vQliQ/Pz/FxMRo+PDhWrlypV566SW7xsvIyNA///lP1a9fX8899xxhGwAAAHdFgcP2ww8/bG137txZDRs2tOkrCrt375YkNW3aNNeyRx991GYde8yYMUOnT5/WqlWrZDAYiqZIAADuNncva3Od92S1M9l3MzkAzlOom9pMnDixqOqwcerUKUlS5cqVcy0rXbq0AgICbjt1JcfBgwc1b948DR8+XFWrVi3KMgEAuLuMJmvzN1OEzWMArqlQYdtRkpOTJUn+/nmfDOXn56cLFy7cdpyMjAyNGTNGtWvXVnR0dIHrKF26NJcsLOECAgKcXUKJZsq+Zm0PutpIpb1+lcG7tBMrgsTnwpk8PDys7TJleC9cBe8D8lOgsN2qVSsZDAZ98MEHCg0NVatWreze1mAw2HUDnKI0depUnT59Wp999pmMRmOBt79y5YoDqkJxERAQoISEBGeXUaKl3PQZTExMlNLMzikGkvhcOFtKSoq1nZgo3gsXwGeiZLPni1aBwnZcXJyk61cLufFxUfPz85MkJSUl5bk8OTn5lke9c/z888/68MMPFRMTo5o1axZ5jQAAAMDtFChsHz16NN/HRSXnkn6nT5/W/fffb7PsypUrSkhI0IMPPpjvGMeOHVN2dramT5+u6dOn51r+22+/qWbNmvL399fevXuLrHYAABwm88+pVe1SR0qZ70omHycWBOB2XHLOdqNGjfT+++9r27Zt6tChg82y7du3S9Jtr4BSpUoVde3aNc9lK1askL+/vx5//HF5e3MmNwCgmDBnWZvVsrbKkp0lcY4k4NJcMmw3adJEoaGhWrNmjXr27KnatWtLuj59ZNasWXJ3d1fnzp2t61++fFkJCQkKCAhQ2bJlJUlhYWEKCwvLc/wVK1aoXLlyeuuttxz/ZAAAAFBiueSlNtzd3TVhwgRZLBb16NFD//rXvzRp0iQ98cQTOn78uAYPHmxzGb8lS5aoffv2WrJkiROrBgAAAGwV6Mh2zhHmO2EwGHTkyBG71w8PD9fSpUs1bdo0rV+/XpmZmapevbqGDh2qTp063XEdAAAAwN1SoLB97733OqqOPNWrV0/z5s277XpDhgzRkCFD7B732LFjhSkLAAAAsEuBwvbmzZsdVQcAAADwl+OSc7YBAACAvwLCNgDX5fbnral/8uguGT3yWRkAANdToGkk586dkyRVqFBBRqPR+thewcHBBVofQAln8rQ2t3mNUD2TlxOLAQCg4AoUtlu2bCk3NzetXbtWVatWVcuWLWUwGOzatqBXIwEAAACKuwKF7UaNGkmS9a6LOY8BAMBdYPhz9udVwz3yNzAbFHB1BQrbH330Ub6PAQCAA3n4Wpsf+a9WjKefE4sBYA++EgNwXVkZ1ma99KU2jwEAKA6KPGwnJycrOTm5qIcFUBJlp1ubzdLflbLSnFgMAAAFV6BpJLeyZcsWLVmyRD/++KNSU1MlXZ/XHRYWph49eqhly5ZFsRsAAACgWClU2LZYLHr11Vf1+eefy2KxSJJKlSoli8WipKQkbdu2Tdu3b9cTTzyhiRMn2n3lEgAAkAeL2dr0N5+TLPfZnDQJwPUUKmwvXLhQK1euVPny5RUTE6OoqCj5+V0/WSM5OVlr1qzRrFmztGrVKtWqVUsvvPBCUdQMAEDJlJFibfZMfkKW9N2SVyknFgTgdgr1dXjZsmXy9vbWkiVL1L17d2vQliQ/Pz91795dS5YskZeXl5YtW1boYgEAAIDipFBhOzY2VuHh4QoNDb3lOqGhoQoPD1dsbGxhdgUAAAAUO4UK22XLlpXJZLrteiaTSQEBAYXZFQAAAFDsFCpst27dWrt27dKVK1duuU5iYqJ27dql1q1bF2ZXAAAAQLFTqLA9bNgwVaxYUb169dKOHTtyLd+xY4eio6NVsWJFDR8+vDC7AgAAAIqdAl2NpGfPnrn6TCaTfv75Z0VHR6t06dIKDg6WJJ0/f16JiYmSpPr162vQoEFauHBh4SsGAAAAiokChe3du3ffcpnFYlFiYqI1YN/owIEDXGMbAAAAJU6BwvamTZscVQcA5Obha20u8lul5z398lkZAADXU6CwHRIS4qg6ACC3G+6Ml+QWzJ3yAADFDr+5AAAAAAcp1O3ab3b16lWlpKTIYrHkuTzn5EkAAHAHjJ7W5veew9XU3cuJxQCwR6HD9u+//66pU6dq06ZN+V5v22Aw6MiRI4XdHQAAJZe7h7V50LOHmt7wGIBrKlTYvnTpkrp27apLly6pQoUKKlu2rOLj49WgQQPFxsbqjz/+kMFgUIMGDeTuXqQH0QGUBBkp1ubzSR2l9DUSJ0kCAIqRQs3Z/u9//6tLly7pxRdf1NatW9W8eXMZDAZ98skn2rZtmz766CNVq1ZNBoNB8+bNK6qaAZQUFrO1WcpyweYxAADFQaHC9vfff6+KFSsqJiYmz+WNGjXSggUL9Msvv2jWrFmF2RUAAABQ7BQqbF+8eFG1a9f+czC368NlZGRY+ypUqKDGjRtr/fr1hdkVAADITLc2m6b9R8pMc2IxAOxRqLDt5+dnc+WRUqVKSboewm/k4eGRqw8AABSQ+c+DWfUzPpGyM/JZGYArKFTYvvfeexUXF2d9fN9990mStm7dau27du2a9u/fr6CgoMLsCgAAACh2CnWJkPDwcC1atEh//PGHypUrp5YtW8rb21uTJk3S+fPndc899+jLL79UfHy8/v73vxdVzQAAAECxUKiw3alTJ124cEEnTpxQuXLlVKZMGY0fP15jxozR/PnzZTAYZLFYdN9992n48OFFVTMAAABQLBQqbNeqVUtTpkyx6YuKilJYWJi2bt2qq1evqkqVKmrZsqVMJlOhCgUAAACKG4fcaSY4OJhpIwAAACjxCnWCZF6Sk5OVnJxc1MMCAAAAxU6RHNnesmWLlixZoh9//FGpqamSJG9vb4WFhalHjx5q2bJlUewGQEnj9uc/USfdW6iq0SF/jAMAwGEK9ZvLYrHo1Vdf1eeff2693napUqVksViUlJSkbdu2afv27XriiSc0ceJEGQyGIikaQAlh8rY21/u8oxiTjxOLAQCg4AoVthcuXKiVK1eqfPnyiomJUVRUlPz8/CRdn06yZs0azZo1S6tWrVKtWrX0wgsvFEXNAAAAQLFQqDnby5Ytk7e3t5YsWaLu3btbg7Z0/e6S3bt315IlS+Tl5aVly5YVulgAAACgOClU2I6NjVV4eLhCQ0NvuU5oaKjCw8MVGxtbmF0BAABPf2tzZqk9klcpJxYDwB6FCttly5a16/rZJpNJAQEBhdkVgJIoO9ParJr5rc1jAACKg0KF7datW2vXrl26cuXKLddJTEzUrl271Lp168LsCkBJlJVmbba/NkrKvObEYgAAKLhChe1hw4apYsWK6tWrl3bs2JFr+Y4dOxQdHa2KFStyu3YAAACUOAW6GknPnj1z9ZlMJv3888+Kjo5W6dKlFRwcLEk6f/68EhMTJUn169fXoEGDtHDhwsJXDAAAABQTBQrbu3fvvuUyi8WixMREa8C+0YEDB7jGNgAAhZWeZG0OutpIlrTdnCQJuLgChe1NmzY5qg4AAADgL6dAYTskJMRRdQAAAAB/OYU6QRIAAADArRXqdu05Ll++rM8++0z79u3TpUuXJEnly5fXQw89pM6dOyswMLAodgMAAAAUK4UO219//bVeffVVpaSkyGKxWPuPHDmirVu3avbs2fr3v/+txx57rLC7AgAAAIqVQoXtQ4cOacSIETKbzWrTpo06deqkihUrSpLi4uK0atUqbdy4US+99JI+/vhjPfDAA0VSNAAAAFAcFCpsz5kzR9nZ2XrvvfdyHbmuVauWWrVqpY0bN2rw4MGaO3eupk2bVqhiAQAAgOKkUCdI7tu3Tw8++GC+U0Rat26tsLAw7d27tzC7AlASmbytzc99ZksePk4sBgCAgitU2E5KStK999572/XuvfdeJSUl3XY9ALDh9ucf3865N7R5DABAcVCo31xBQUE6evTobdc7evSogoKCCrMrAABwE7PZLJnNzi6jRDObzdffBzidm5trXtG6UGG7adOmWr58uaZOnaqhQ4fmuiW7xWLR1KlTdfLkST399NOFKhQAgBLPzcPaXHOpu0zfecjsmvmixPDzzVRyirOrgI+X1Ly5s6vIW6HCdkxMjDZs2KD3339f69atU7t27RQSEiKDwaDY2FitW7dOsbGxKlOmjGJiYoqqZgAASiaTp7V5osoI9Y/0cmIxkKSAACkhwdlVwJUVKmzfc889WrhwoUaOHKnjx4/r/ffftx7dzrnmdo0aNfTOO+/onnvuKXy1AEqWjFRr88mU/lLGXMnD14kFAa7jkxXS2XPOrgIepmRlZDq7Cvj6Sq//y9lV5K3QZxvVrFlTq1ev1q5du7R3795cd5Bs3LhxoYsEUEJZsq3NkOz9spiz81kZKFl8DRd14bR9V+i5lu0ry03XRPByS5Gbwb65xlkWd2WYvW363AxZ8nK7Zl+xkq5le8tyU+zwdEuV0WDf59psMSrNbPt8DcqWtzH1Flvklm72UrbFZNPn4ZYmd4N9adkig65l+9n0GY0WeSrZ7hoyzJ7KsnjY9LkbMuThlm73GKnZfpJsp+56G5NlkCXvDW6SZTEpw2z7VxGjIVOebml213At20cWGW36vNxS5Wbn+5ltMSo91/uZJW+j/T9TaWZvmS3Xf6b8fF33alWFCtuDBw9WUFCQxo0bp8aNGxOsAQC4S/Ydelg65OwqANfg7dNYFsu6XOcPuoJCnVaxdetWJSYmFlEpAAAgPz4+PqpdmwNbQHFSqCPbFStW1LVr9h/uBwAAd85gMGjWrDX69j/zNKzOu3Zv12XzKp1PC7bpWxnZUfd6X7Br++8utNDL+9+x6Wte/ltNemiU3TXE7JytHy83tOmb2bi/wgL327X9r1fvU69tS2367vM/pkXNnrO7hjd/ek3r4jra9I194HV1CF1r1/ZJmX567JstNn1+xiR983hLu2uYd7yv5h/vZ9PX+7456nPfXLvHaPP1ZiVn+9v0bWgTKX+TfdNZ1p7toAmHXrfpax+yWv+qP97uGnp+v1jHk2ra9C1s2kM1Sh23a/v98WEatOt9m74Hy+7TrPABdtfw8t7J+u5ShCTJYPBxyaPakmSw5JzJeAdmzJihBQsW6Ouvv/5LXkc7gdOLS7SAgAB+Bpws5fIFhVavI0lKGF1elmG7Ja9STq6qZONz4XwXLpj19x4ZujcwTR4et19fuj7H9+Y52z5uyTIUYM72zfNrjYbMAs7Z9pH5pmN8Xm4pBZqzfc1se4K0m7LlbbT/unvpZq9c86U93a4VaM526k0h1+hukZfF/hv3ZZg9lWnxtOkzGdILNGc7JdtfN8/Z9jEmFWjOdvpNc/DdDRkFnLPtK/NNc7a93VIKNGc7Ldf7mVWgOfhpZm/rHHwvb+mjD+7+dTADAgJuu06hjmz3799fBw8e1HPPPaeRI0cqIiJCJpPp9hsCAIA74ukpZVk8dDXTQ4asOx8nTX63XylfJqWocL/z01TYqwsZlarCfQFPk7ck79uud8sKMg1KMRe2Bk9JnrddL/8x/G+/Ur48lCw7v73dsobCvp/ud/x+uuhBbUmFDNtt27aVxWLR+fPn9eKLL8pgMKhs2bLy9Mz9A2MwGLRx48bC7A4AgBLP21sKDZXq1HLtgFFSeHpK6fYflIaD+LjuxUgKF7bj4uJsHlssFv3xxx+FKggAANyau7sU1kAqU+bmiQRwBi9vD6Vdy3B2GSXeXzZsHz16tKjqAAAAdjAaDWrf1qIaNTiy7QoCAnyUkEDYxq0V+qY2AADg7nIzGuTmRth2BW5ubnJz443Ard1R2N66das2btyo8+fPy8PDQzVr1lSXLl0UGhpa1PUBKMkMf57p/ofbfQp0M+azMlByGN2kX+27whocrFSpbF296uwq4GGSqlVzdhV5K3DYHjFihNatWyfp+hxtSdqyZYsWLFigKVOmqFWrVkVbIYCSy+PPSXif+i1VjEdhz3QHij+DwaDq1e/4qr0oYgEBRnE1TOSnQGF7+fLlWrt2rdzd3dWpUyfVqVNHKSkp2rJliw4cOKCXX35ZW7Zskb9/YS8/AwAAbsVVb95REhkMBt4P5KtAYfuLL76Qm5ub5s6dqyZNmlj7+/fvrzFjxuiLL77Qhg0b9NRTTxV5oQAAAEBxU6Bb7fz666+qX7++TdDO0b9/f1ksFv36669FVhwAAABQnBUobCcnJ6tSpUp5LsvpT05OLnxVACBJ5j9v+1su+5jNYwAAioMChW2LxSI3t7w3yek3m82FrwoAJCkz1drslvKclJHixGIAACi4AoVtAAAAAPYr8KX/vvjiC33xxRd5LjMYDLdcbjAYdOTIkYLuDgAAACi2Chy2c66tfbe2AwAAAIqrAoXto0ePOqoOAAAA4C+HOdsAAACAgxC2AQAAAAchbAMAAAAOQtgGAAAAHISwDQAAADgIYRsAAABwEMI2ANfl7mltbvJ6TTJ5ObEYAAAKjrANwHUZPazNox4dbR4DAFAcELYBAAAAByFsAwAAAA5C2AYAAAAchLANwHVlplmbra69LmVec14tAADcAcI2ANdlzrQ2a2WulbIz81kZAADXQ9gGAAAAHISwDQAAADgIYRsAAABwEMI2AAAA4CCEbQAAAMBBCNsAAACAgxC2AQAAAAchbAMAAAAOQtgGAAAAHISwDcB1GQzWZrr8bB4DAFAcELYBuC4PP2tzXqktkqe/E4sBAKDgCNsAAACAgxC2AQAAAAchbAMAAAAO4u7sAvJz8OBBTZ8+XQcOHFBmZqaqV6+uXr16qWPHjnZtv3fvXm3cuFG7d+9WXFycUlNTFRISolatWql///4qVaqUg58BgEKxWKxND0uSZOEkSQBA8eKyYXvXrl3q3bu3TCaTOnToIH9/f23YsEEjR45UXFycBgwYcNsxhg4dqoSEBDVs2FBPPPGEDAaDdu/erXnz5mnDhg365JNPFBgYeBeeDYA7kpFsbfZNailL+m7Jiy/JAIDiwyXDdlZWlsaOHSuDwaAlS5aoTp06kqRBgwape/fumj59utq2basqVarkO06vXr305JNPqnz58tY+i8WiN954Qx9//LFmzJihcePGOfKpAAAAoARzyTnbO3fu1JkzZxQVFWUN2pLk5+enmJgYZWVlaeXKlbcdp1+/fjZBW5IMBoNiYmIkSXv27CnawgEAAIAbuGTY3r17tySpadOmuZY9+uijNuvcCXf36wf0jUbjHY8BAAAA3I5Lhu1Tp05JkipXrpxrWenSpRUQEKDTp0/f8fifffaZpD+DOwAAAOAILjlnOzn5+klR/v553y3Oz89PFy5cuKOxf/nlF82cOVOBgYHq06dPvuuWLl1abm4u+X0Ed0lAQICzSyjRTNnXbB6XKVNGBu/STqoGOfhcALb4TCA/Lhm2HeXs2bPq37+/srOzNWXKFJUtWzbf9a9cuXKXKoMrCggIUEJCgrPLKNFSbvoMJiYmSmlm5xQDSXwugJvxmSjZ7Pmi5ZJh28/PT5KUlJSU5/Lk5ORbHvW+lbi4OPXq1UuXL1/W9OnTFR4eXug6AQAAgPy45ByJnEv65TUv+8qVK0pISMhzPvetxMbG6vnnn9elS5c0depURUZGFlWpAAAAwC25ZNhu1KiRJGnbtm25lm3fvl2S9PDDD9s1VmxsrHr27KlLly7p3XffVevWrYuuUAAAACAfLhm2mzRpotDQUK1Zs0a//PKLtT85OVmzZs2Su7u7OnfubO2/fPmyTpw4ocuXL9uMkxO0L168qClTpqhNmzZ37TkAAAAALjln293dXRMmTFCfPn3Uo0cPRUVFyc/PTxs2bFBsbKyGDRumqlWrWtdfsmSJZsyYocGDB2vIkCHW/p49eyouLk4NGjTQsWPHdOzYsVz7unF9AC7G6Glt7vboq0bunvmsDACA63HJsC1J4eHhWrp0qaZNm6b169crMzNT1atX19ChQ9WpUye7xoiLi5MkHThwQAcOHMhzHcI24MLcPazNPV79CNsAgGLHYLFYLM4uwlVxKZ+Sjcs5OV9KSopCQ0MlSRMmnFZMTMGuQoSix+cCsMVnomSz59J/LjlnGwAAAPgrIGwDAAAADkLYBuC6sjKszUZpc6SsdCcWAwBAwRG2Abiu7D/D9cMZcwnbAIBih7ANAAAAOAhhGwAAAHAQwjYAAADgIIRtAAAAwEEI2wAAAICDELYBAAAAByFsAwAAAA5C2AYAAAAchLANAAAAOAhhGwAAAHAQwjYA1+XhZ23O9d8sefo7sRgAAAqOsA3AdRkM1maGwd/mMQAAxQFhGwAAAHAQwjYAAADgIIRtAAAAwEEI2wBcV0aytdnnaqSUnuTEYgAAKDjCNgDXZbFYm55KtnkMAEBxQNgGAAAAHISwDQAAADgIYRsAAABwEMI2AAAA4CCEbQAAAMBBCNsAAACAgxC2AQAAAAchbAMAAAAOQtgGAAAAHISwDcB1uZmszaOmDpLRlM/KAAC4HsI2ANdl8rI2N3m/Lpm8nVcLAAB3gLANAAAAOAhhGwAAAHAQwjYAAADgIIRtAK4rO8ParJWx2uYxAADFAWEbgOvKSrc2W6WNlzLTnFgMAAAFR9gGAAAAHISwDQAAADgIYRsAAABwEMI2AAAA4CCEbQAAAMBBCNsAAACAgxC2AQDAX8q5c+cUHh6uffv2ObuUIrNmzRqFh4dbH+/bt0/h4eE6d+5ckY6LokfYBgAAtzR+/HiFh4crPDxcjzzyiDp27KjXX39dFy9eLLJ9PPnkk5o7d26RjVehQgWtXbtW9erVK7IxXU29evW0du1aVahQwa71b/UFpHXr1lq7dq0jSsT/IWwDAIB8PfDAA1q7dq1WrVqlsWPH6tChQxo5cqTMZrOzS8slIyNDRqNRgYGBMplMhR6rKBXleCaTSYGBgTIajYUax8vLS4GBgUVUFfJC2AYA4C6zWCy6du3u/2exWO6oXnd3dwUGBiooKEiNGzdWnz59dPz4ccXGxkqSvvnmGz377LNq1qyZOnTooClTpigt7c87vp48eVJDhw5V69at1aJFC3Xr1k3r16+XJPXo0UMXLlzQ/PnzrUfQc6ZGxMXFacyYMWrTpo1at26tIUOG6Pjx49Zxc6ZS/PDDDxo4cKBatGihxYsX53kUNzY2VqNHj1arVq0UERGhwYMH69dff7Uuz9lm/fr1GjlypCIjIzV58uQ8X4+cqRf79+9Xx44d1bx5cz377LM2+8tvvD179qhfv35q0aKFoqKiNH78eCUkJNj8fLz//vtq166dIiMjNXbsWCUlJdnUkNc0ktjYWL366qt67LHH1KJFC/3973/Xxo0blZiYqC5dukiSBg0apPDwcD355JM2z0WSUlNTFRkZqdWrV9vs69q1a4qMjNSXX35p7VuxYoW6deum5s2bq2vXrlqwYIGysrLyfL1KOndnFwAAt2TysTY/9V2sZzx8nVgMUDQsFotihlh06PDd3/cD90uzpksGg6FQ43h6ekqSMjMztWvXLr322mvq3bu32rRpo7Nnz2rSpElKSkrSuHHjJEn/+te/VLVqVc2ZM0eenp46c+aMsrOzJUn//e9/9fzzz6t169Z69tlnJUllypTR5cuX1a9fPzVv3lyzZs2Sh4eHli9frpiYGH3yySc2R2OnTJmiQYMGqWbNmjIYDLm+VGRkZGjo0KEqV66cpk2bJg8PD82fP1+DBw/WsmXLVKZMGeu6M2fO1IABAzR8+PDbfjl599139corr8jT01MLFy7UiBEjtGLFCpUrV+6W4+3bt08jR47UoEGDNHbsWKWkpGj69OkaPXq05syZI4PBoGXLlmnp0qUaOXKk6tevr61bt2r+/Pn51hIfH6++ffuqatWqevvttxUUFKRTp04pMzNTpUuX1oIFCxQdHa2JEyeqXr16cnPLfbzVx8dHkZGRWrdunTp27Gjt37x5sywWi1q1aiVJWrBggVatWqXhw4erRo0aOnXqlCZNmqS0tDTFxMTkW2dJxJFtAK7L7c8/j/5hrGnzGIBznDt3Th999JEqVKigypUr68MPP1SzZs3Up08fVa5cWU2bNtXIkSP11VdfWY+6nj9/Xo888oiqVaumkJAQNWnSRE2bNpUklS5dWm5ubvL29lZgYKB1asTKlSsVFBSkl19+Wffdd58qV66sESNGqFSpUvrqq69saurVq5ciIyMVHByse++9N1fNGzZs0O+//65///vfqlu3ru677z698cYbMplMWr58uc26nTp1UlRUlEJCQlSxYsV8X4uBAwdan9fYsWPl7++vzz77LN/x5s+fr6eeekrPPPOMKlWqpNq1a+u1117ToUOHdPToUUnS4sWL9fTTT6tjx46qVKmSnn/+eTVq1CjfWlasWCFJmjx5sho0aKCQkBA9+uijioiIkMFgsH6hKFWqlAIDAxUQEJDnOO3bt9eBAwdsjpivW7dOERER8vX1VVpamhYtWqRRo0YpIiJCwcHBeuSRR9S/f3+tWLHijv968lfGkW0AAO4ig8GgWdOlG2ZZ3DVeXnd2VPunn35SZGSkzGaz0tPTVadOHU2aNEnu7u46ceKEoqOjbdZ/8MEHZbFYdOLECQUHB+u5557TW2+9pdWrVyssLEzNmjVTrVq18t3nkSNHdPz4cUVGRtr0p6en6+zZszZ9devWzXesEydOqHLlyjZHwz09PVWnTh2dOHGiQGPd6MYTME0mk2rXrq2TJ0/mO96RI0d0+PBhff7557nGO3v2rCpVqqTff/8918md9evX15YtW25Zy9GjR1W3bl35+hbuL4ANGzZUhQoVtH79evXu3Vvnz5/X/v37NW3aNEnXpwSlpaVp7NixNj9LOT8b8fHxNkf2QdgGAOCuMxgM8vZ2dhX2q1Wrlt544w0ZjUaVLVtWXl5e+a6fE8Jy/h8dHa3HH39cO3bs0N69e7Vw4UI9++yzGjhw4C3HMJvNCgsL0+jRo3MtuzlQ3q6e/I623vzl43Zj3c7txrNYLOrRo4c6dOiQa9uyZcsW6shwYacH5YzRrl07a9hev369KlSooIYNG0qS9aTYN998U1WqVMm1/Y1TcnAd00gAAEC+PD09FRoaquDg4FzhsVq1atq/f79NX87jatWqWftCQkLUtWtX/b//9//Ur18/67QH6fpR4ZuvbFK7dm2dOnVKQUFBCg0NtfmvbNmyBar/b3/7m06fPq34+HhrX3p6uo4cOWJTY0EdPHjQ2s7MzNQvv/ySZwC9Ua1atXTy5Mlczyk0NFS+vr7y8/NTUFCQzdg37ysvtWvX1uHDh5WSkpLn8pwrs9hzBZkOHTooNjZWBw4c0Lp169SuXTvrHO9q1arJ09NTcXFxeT4Hd3eO496MsA3AdWWkWpvdkntIGXn/EgHgPC+88IK+//57zZs3T2fOnNG2bdv0zjvv6PHHH1dwcLBSU1M1efJk7d27V+fOndOxY8e0Y8cOVa1a1TpGSEiIDh48qIsXLyoxMVFms1ldu3aVxWLRqFGjrHOIDxw4oNmzZ+vAgQMFqvGxxx5TYGCgXn31Vf388886fvy4xo0bp4yMDHXt2vWOn/vs2bO1Y8cO/fbbb/r3v/+tq1ev6qmnnsp3m379+mn79u2aMmWKjh07ptjYWO3YsUNvvfWWNSj36NFDK1as0Nq1a3XmzBktWbJEe/bsyXfcnP3e+Hrt3LlTW7dulSTrXyR27dql+Ph4Xb169ZZjVaxYUfXq1dOUKVMUGxur9u3bW5f5+PioV69emjNnjpYtW6bTp0/r5MmT+uabbzR9+nS7XreShq8fAFyXJdvaLGc+Los5O5+VAThDeHi4xo0bp0WLFunDDz+Uv7+/WrVqpUGDBkmSjEajkpKS9NZbbyk+Pl6+vr4KCwvTkCFDrGP0799fEydO1DPPPKP09HStXLlSwcHBmjt3rmbPnq0xY8YoOTlZgYGBqlevXoHnBHt6euq9997TtGnTNGTIEGVnZ+uBBx7Q9OnTb3mioD2GDh2qt956S6dOnVJoaKgmT56soKCgfLdp2LChZs6cqXnz5mngwIEym82qUKGCGjduLA8PD0lSt27dlJiYqGnTpik9PV1NmjRRdHS03nvvvVuOGxgYqDlz5mjGjBkaOXKkMjMzFRISot69e0u6/j6MGjVK8+bN08cff6ygoCB98cUXtxyvQ4cOmjhxourXr6/Q0FCbZdHR0SpXrpyWL1+uGTNmWP/ycWMox58MFk4bvaUbr3mJkicgIICfASdLuXxBodXrSJISRpeXZdhuyauUk6sq2fhcANevTT1hwgTt3LmTz0QJZ8+XNaaRAAAAAA7CNBIXxB8bXIPFcud3W0PR4PUHABR3hG0XdOKkRZmZzq4C/v6ZSkoi7DlTxlVefwCuJyoqSlFRUc4uA8UEYdsFnTktXXPCzQ5gy9c3U7e4ghLukuzU268DAIArI2y7oAuXpNRrzq4C3l7ZfOlxNl5/AEAxR9h2QVlZUhbTSJwu0z2L98HZspxdAAAAhUPYdkE7dkqp/Pnc6dyNFmVxWWen8rj9jc4AAHBphG0XFBQkpRC2nc7DXcrgyKpTufP6AwCKOcK2i7FYLDryU4LMmel2b5Oc5SfJYNPna0yWwWDflRwyzSalm71s+twNmfIy2j9hNjXLR2YZbfq8jakyGuw7NJxtMepato9Nn9GQJW+j/ZPXr2V7K9ti+yPt5XZN7m72JTazxU2p2b7Wx25GyZJtlq+7/WdJpmd7KdNisunzcEuXh1uG3WMkZ/nn6vNzT7J7+wyzhzLMnjZ9JkOmPAvwfqZk+cpy02X4fYwpcjPYd6g5y+yuNLO3Td+dvJ9Gy5+fg0teYQpyM+azBQAAroew7UIsFovatWun3bt3O7sUwOXsqPa+Onn43n5FAE4THh6usWPH/uUuizd37lytXbs239ubA7dC2HYxBoPh9isBJYy3T2OVK+dz+xUBOMS1a9e0ePFibdq0SefOnZPJZFLNmjXVvXt3NW/e3NnlAS6NsO1CDAaD1q1bpw/6TlHv6nPt3q7N15uVnG079WBDm0j5m5Lt2n7t2Q6acOh1m772Iav1r/rj7a6h5/eLdTyppk3fwqY9VKPUcbu23x8fpkG73rfpe7DsPs0KH2B3DS/vnazvLkXY9E0KG6nm92y1a/vz1+5Rly2rbfru9TqnlS2fsLuGqUeG69NTPWz6htX+j7pV/cTuMZqs25Orb0f7RnZv/+lv3TX1lxE2fd2qLNWwOu/aPUaXzat0Pi3Ypm9lZEfd633Bru2/u9BCL+9/x6aveflvNemhUXbXELNztn683FCSZDD4yMeHL6KAM6SkpGjgwIG6evWqBg4cqAceeEDXrl3Thg0bNGbMGPXu3VvR0dFOrTEjI0MeHh5OrQG4FYOF+yHfUkJCglP2+0zXa7JkFWTOtr9yz9lOKuCcbdv5te6GjALO2fbNY852SgHnbNtOEbg+x9f+M0Wvz9m2nS/t5ZZawDnbfn/u310yZ5nl627flxYpZ8627T/4Hm5pBZyzXSpXn5/7Vbu3vz5n23YOvsmQUcA52355zNlOLuCc7Zvn4GcWcM62j7It7srMktLSpCULpcqV3W6/IRwqICDAaf82/pVYLBalOuGyUz4+PgX+C+qUKVP0xRdfaOnSpapYsaLNsgULFmju3Ln68MMPVbNmTYWHh2vYsGE6fPiwtm/fLk9PTz355JPq16+f3Nyuf36/++47zZs3T6dPn5bJZFKlSpX08ssvq2bN6wds4uLiNGPGDO3du1cWi0W1a9fWiy++qPvuu0+StG/fPg0aNEhTpkzRRx99pCNHjqhXr15avXq12rVrp379+lnrs1gseuqpp/T444+rf//+kqSNGzdq0aJFOnXqlMqWLauIiAj1799f3t7Xfw9mZGTo3Xff1YYNG+Tm5qY2bdrIz89PGzZsyHMaCZ+Jki0gIOC263Bk2wVduOwp800nuBVUknKfZFcwHv/3X2FqKOz8WnclKnfwLFgNhZ164KarhaxB8vq//+5cUqFrKIr30+/2K+XLpESZbr/aLXgV7iUEXIYzz89p3Lix1q1bZ3fgtlgs+uqrr/TYY4/lCtqS1KNHDy1cuFDr16+3huX58+frhRdeUL9+/fTTTz/pnXfeUUBAgLp166b4+Hi98sor6tevn1q1aqXMzEz9+uuvMhqvH6y5fPmy+vXrp+bNm2vWrFny8PDQ8uXLFRMTo08++USBgYHWfU+ZMkWDBg1SzZo1ZTAYlJ2drbVr16pv377W5/fjjz/q3Llzat++vSRp/fr1mjJlioYPH6569erp999/1zvvvKP4+Hi9+eabkqRZs2Zp8+bN+te//qWqVatq1apVWrFihUqVKuy/wyipCNsuqGOUlGr/wVQ4iIeXlMEdDJ3OLOnCecmOgwdAsVFczs9JSEjQ1atXVa1atTyXe3l5qWLFijpz5oy17+GHH9azzz4rSapUqZJ+++03LVmyRN26ddPvv/+urKwsPfbYY7rnnnskSVWqVLFuu3LlSgUFBenll1+29o0YMUI7duzQV199ZR1Xknr16qXIyEjr4/bt22vBggXav3+/Gja8PgVt3bp1ql+/vkJDQyVJc+bMUb9+/azhu2LFiho5cqQGDhyoESNGyNPTUytXrtTQoUMVEREhSXrxxRe1f/9+JSYm3uGriJKOsO2Chr/o7AogSQEBpZWQcMXZZZR4ZrP0zUbJnX+t8BeRc35OcZhGkjPTtCDb1KtXz+Zx/fr1tXTpUqWkpOi+++5T48aN1aNHDz300ENq2LChIiIiVKFCBUnSkSNHdPz4cZsQLUnp6ek6e/asTV/dunVtHoeEhKh+/fpav369GjZsqLS0NG3evFnDhg2TdP2Lw/nz5zVjxgzNmjUr13M8e/asvLy8lJGRkedz2LrVvvN/gJvx68sFGY3F44jHX53RaOS9cAEGg0VG/qXCX4zBYJCvr+tfyjIgIEClSpXSiRMn8lyenp6uuLg4NWpk30ncRqNRU6dO1ZEjR7Rnzx5t3rxZs2bN0oQJE9SsWTOZzWaFhYVp9OjRuba9+fXyymNuWfv27TV16lSNHDlSW7ZskdlsVqtWrSRJZvP1c05efPFFPfzww7m2DQoKyhXogaLArzAXdPI3izLtP58ODuJfKktJVzl/2Nksktw4LxJwCjc3Nz3++ONatWqVoqOjFRxse5Wijz/+WOnp6WrXrp217+DBg+rWrZvN46CgIGtYNhgMqlu3rurWrasXXnhBw4YN05dffqlmzZqpdu3aWrNmjYKCgvIM07fTqlUrTZkyRVu2bNHatWsVERFh3W9gYKAqVKigM2fO6Kmnnspz+4oVK8pkMungwYPWEzIl6dChQwWuBchB2HZFlusBA87H++AaqlQqPnNcgb+a/v37a//+/Ro8eLAGDhyo+++/X9euXdM333yjRYsWqW/fvtaTIyVp9+7dWrp0qZo2baqDBw9qxYoVGjDg+mVcDx48qL1796px48YKDAzU2bNn9b///c86h7pr165avXq1Ro0apd69e6t8+fK6dOmSdu7cqfDwcDVo0CDfWn19fdWiRQstXbpUJ06c0HvvvWezfMCAAZowYYJKly6tFi1ayN3dXadPn9a2bdv0yiuvyNvbW507d9a8efNUrlw5ValSRV9++aVOnTrFCZK4Y4RtF1StGqHCFQQEuCshgffCVRC2Aefw8/PT3LlztXjxYs2bN8/mpjYTJ07MdVOb6OhoHTx4UHPmzJGnp6e6detmPdLt5+enQ4cOacWKFUpKSlJgYKDatGmjPn36SLp+9Hnu3LmaPXu2xowZo+TkZAUGBqpevXoqV66cXfV26NBBL774oipUqGA9UTJHu3bt5Ovrq0WLFmnhwoUyGo0KCQmxeQ4xMTHKyMjQ+PHX7zXRunVrde3aVRs2bLjj1xAlG9fZzgfXzSzZuHYqkBufC8AWn4mSzZ7rbDMTEgAAAHAQwjYAAADgIIRtAAAAwEEI2wAAAICDELYBAAAAByFsAwAAAA5C2AYAAAAchLANAAAAOAhhGwAAAHAQwjYAAPhLOXfunMLDw7Vv3z5nl1Jk1qxZo/DwcOvjffv2KTw8XOfOnSvScVH0CNsAAOCWxo8fr/DwcIWHh+uRRx5Rx44d9frrr+vixYtFto8nn3xSc+fOLbLxKlSooLVr16pevXpFNqarqVevntauXasKFSrYtf6tvoC0bt1aa9eudUSJ+D+EbQAAkK8HHnhAa9eu1apVqzR27FgdOnRII0eOlNlsdnZpuWRkZMhoNCowMFAmk6nQYxWlohzPZDIpMDBQRqOxUON4eXkpMDCwiKpCXgjbAAA4Q1a6lHbV/v8sltxjpCfZv33mtTsu1d3dXYGBgQoKClLjxo3Vp08fHT9+XLGxsZKkb775Rs8++6yaNWumDh06aMqUKUpLS7Nuf/LkSQ0dOlStW7dWixYt1K1bN61fv16S1KNHD124cEHz58+3HkHPmRoRFxenMWPGqE2bNmrdurWGDBmi48ePW8fNmUrxww8/aODAgWrRooUWL16c51Hc2NhYjR49Wq1atVJERIQGDx6sX3/91bo8Z5v169dr5MiRioyM1OTJk/N8PXKmXuzfv18dO3ZU8+bN9eyzz9rsL7/x9uzZo379+qlFixaKiorS+PHjlZCQYN3WYrHo/fffV7t27RQZGamxY8cqKSnJpoa8ppHExsbq1Vdf1WOPPaYWLVro73//uzZu3KjExER16dJFkjRo0CCFh4frySeftHkukpSamqrIyEitXr3aZl/Xrl1TZGSkvvzyS2vfihUr1K1bNzVv3lxdu3bVggULlJWVlefrdePr8fXXX2vEiBFq0aKFOnfurC1btiglJUXjx49Xy5Yt1alTJ33xxRe59v/uu++qY8eOatGihXr27KnNmzfbrDN79mz9/e9/V0REhKKiojRu3DjFx8fbrBMeHq7ly5drwoQJatWqlTp06KDp06crOzv7lnUXBXeHjg4AAPLksXuuPHbOtHv95Jhdklcpmz7fea1kSE+6xRa2Mus8qfS2EwtU4614enpeHzMzU7t27dJrr72m3r17q02bNjp79qwmTZqkpKQkjRs3TpL0r3/9S1WrVtWcOXPk6empM2fOWAPOf//7Xz3//PNq3bq1nn32WUlSmTJldPnyZfXr10/NmzfXrFmz5OHhoeXLlysmJkaffPKJzdHYKVOmaNCgQapZs6YMBoMsN30xycjI0NChQ1WuXDlNmzZNHh4emj9/vgYPHqxly5apTJky1nVnzpypAQMGaPjw4bnGudm7776rV155RZ6enlq4cKFGjBihFStWqFy5crccb9++fRo5cqQGDRqksWPHKiUlRdOnT9fo0aM1Z84cGQwGLVu2TEuXLtXIkSNVv359bd26VfPnz8+3lvj4ePXt21dVq1bV22+/raCgIJ06dUqZmZkqXbq0FixYoOjoaE2cOFH16tWTm1vu460+Pj6KjIzUunXr1LFjR2v/5s2bZbFY1KpVK0nSggULtGrVKg0fPlw1atTQqVOnNGnSJKWlpSkmJibfOv/73/9qyJAhGjp0qD766CO9/vrrevDBBxUREaF//OMfWrdund5++22FhYWpUqVKkqRRo0YpOztbb775poKCgrRnzx699tpr8vHxsX5R8PDw0KhRo3TPPffo0qVLmjZtml577TXNnGn7GZs/f76io6PVq1cv/fzzz3rzzTdVtWpVRUVF5Vt3YXBkGwAA2O3cuXP66KOPVKFCBVWuXFkffvihmjVrpj59+qhy5cpq2rSpRo4cqa+++sp61PX8+fN65JFHVK1aNYWEhKhJkyZq2rSpJKl06dJyc3OTt7e3AgMDrVMjVq5cqaCgIL388su67777VLlyZY0YMUKlSpXSV199ZVNTr169FBkZqeDgYN177725at6wYYN+//13/fvf/1bdunV133336Y033pDJZNLy5ctt1u3UqZOioqIUEhKiihUr5vtaDBw40Pq8xo4dK39/f3322Wf5jjd//nw99dRTeuaZZ1SpUiXVrl1br732mg4dOqSjR49KkhYvXqynn35aHTt2VKVKlfT888+rUaNG+dayYsUKSdLkyZPVoEEDhYSE6NFHH1VERIQMBoP1C0WpUqUUGBiogICAPMdp3769Dhw4YHPEfN26dYqIiJCvr6/S0tK0aNEijRo1ShEREQoODtYjjzyi/v37a8WKFbf9gvLUU0+pVatWqlSpkvr166f09HQFBwfrySefVGhoqHr37i2TyWT9K8H+/ft14MAB/b//9/+sz+vJJ59U27Ztbd676OhohYWFKTg4WA0aNNCIESO0b98+/f777zb7j4iI0DPPPKPQ0FC1bdtWDz74oHbv3p1vzYXFkW0AAJCvn376SZGRkTKbzUpPT1edOnU0adIkubu768SJE4qOjrZZ/8EHH5TFYtGJEycUHBys5557Tm+99ZZWr16tsLAwNWvWTLVq1cp3n0eOHNHx48cVGRlp05+enq6zZ8/a9NWtWzffsU6cOKHKlSvbHA339PRUnTp1dOLEiQKNdaMbT8A0mUyqXbu2Tp48me94R44c0eHDh/X555/nGu/s2bOqVKmSfv/991wnd9avX19btmy5ZS1Hjx5V3bp15evra3f9eWnYsKEqVKig9evXq3fv3jp//rz279+vadOmSbo+JSgtLU1jx46VwWCwbpfzsxEfH29zZP9mNWrUsLZz1ruxz93dXQEBAbp8+bKk669Xdna2ddpLjszMTAUHB1sff/fdd/r4448VGxurlJQU6/kE58+fV1BQkHW9m3/uypcvX6Qn++aFsA0AgBNkPNxXGWE97d/A0z9XV0qfTXnP5c6L8c5PFqxVq5beeOMNGY1GlS1bVl5eXvmunxPCcv4fHR2txx9/XDt27NDevXu1cOFCPfvssxo4cOAtxzCbzQoLC9Po0aNzLbs5UN6unvyOtt4YGO0Z63ZuN57FYlGPHj3UoUOHXNuWLVv2tkeGC7LvOx2jXbt21rC9fv16VahQQQ0bNpQka4h98803VaVKlVzb3zglJy/u7n9Gz5x6b+zLkbMfs9ksb29vLVy48JZjHT58WP/85z/17LPPatCgQfL399f58+c1bNgwZWZm3nL/N+/LUQjbAAA4g7vn9f8KI48A7gienp4KDQ3Nc1m1atW0f/9+de/e3dq3f/9+67IcISEh6tq1q7p27apFixZp4cKF1rBtMplyBZ7atWtrzZo1CgoKKnQA/tvf/qaVK1cqPj7eenQ7PT1dR44cyXXEtCAOHjxofV0yMzP1yy+/5Bmib1SrVi2dPHnylq+nJAUFBengwYNq3ry5zb7yU7t2bX3++edKSUnJ8+h2zpVZ7AmWHTp00AcffKADBw5o3bp1ateunXWOd7Vq1eTp6am4uDg1a9bstmMVVu3atZWamqpr167ZHAG/0U8//SQ/Pz8NGjTI2nf48GGH12Yv5mwDAIA79sILL+j777/XvHnzdObMGW3btk3vvPOOHn/8cQUHBys1NVWTJ0/W3r17de7cOR07dkw7duxQ1apVrWOEhITo4MGDunjxohITE2U2m9W1a1dZLBaNGjXKOof4wIEDmj17tg4cOFCgGh977DEFBgbq1Vdf1c8//6zjx49r3LhxysjIUNeuXe/4uc+ePVs7duzQb7/9pn//+9+6evWqnnrqqXy36devn7Zv364pU6bo2LFjio2N1Y4dO/TWW28pJSVF0vUrtKxYsUJr167VmTNntGTJEu3ZsyffcXP2e+PrtXPnTm3dulWSrH+R2LVrl+Lj43X16tVbjlWxYkXVq1dPU6ZMUWxsrNq3b29d5uPjo169emnOnDlatmyZTp8+rZMnT+qbb77R9OnT7XrdCuKhhx5So0aN9Morr+jbb79VXFycjh49quXLl1un4lSpUkVXr17VypUrde7cOW3atEkffPBBkddypziyDQAA7lh4eLjGjRunRYsW6cMPP5S/v79atWplPcpoNBqVlJSkt956S/Hx8fL19VVYWJiGDBliHaN///6aOHGinnnmGaWnp2vlypUKDg7W3LlzNXv2bI0ZM0bJyckKDAxUvXr18p0TnBdPT0+99957mjZtmoYMGaLs7Gw98MADmj59+i1PFLTH0KFD9dZbb+nUqVMKDQ3V5MmTbeYH56Vhw4aaOXOm5s2bp4EDB8psNqtChQpq3LixPDw8JEndunVTYmKipk2bpvT0dDVp0kTR0dF67733bjluYGCg5syZoxkzZmjkyJHKzMxUSEiIevfuLen6+zBq1CjNmzdPH3/8sYKCgnJdYu9GHTp00MSJE1W/fv1cR+Gjo6NVrlw5LV++XDNmzLD+5ePGUF5UDAaDJk+erAULFui9997T77//rlKlSqlGjRrq0aOHJOnRRx9V7969NX/+fL333nuqU6eOXnrpJb300ktFXs+dMFgKMznoL+7Ga16i5AkICOBnALgJnwvg+rWpJ0yYoJ07d/KZKOHs+bLGNBIAAADAQQjbAAAAgIMQtgEAAAogKipKO3fudHYZKCYI2wAAAICDELYBAAAAByFsAwAAAA5C2AYAAAAchLANAAAAOAhhGwAAAHAQlw7bBw8eVN++fdWoUSM1aNBAXbt21erVqws0htls1uLFi9WxY0fVq1dP4eHhGjp0qE6dOuWYogEAAID/4+7sAm5l165d6t27t0wmkzp06CB/f39t2LBBI0eOVFxcnAYMGGDXOOPGjdOyZctUvXp1Pffcc4qPj9e6deu0fft2ffLJJ6pevbqDnwkAAABKKoPFYrE4u4ibZWVlqV27drpw4YI+/fRT1alTR5KUnJys7t2767ffftPatWtVpUqVfMfZuXOnevXqpYceekgffPCBPDw8JEk7duzQP/7xDz300ENavHjxLbdPSEgosueE4icgIICfAeAmfC4AW3wmSraAgIDbruOS00h27typM2fOKCoqyhq0JcnPz08xMTHKysrSypUrbzvO8uXLJUnDhg2zBm1JatKkiZo2bao9e/bot99+K/onAAAAAMhFw/bu3bslSU2bNs217NFHH7VZJz+7du2Sj4+PwsLCci3LGXvPnj2FKRUAAAC4JZcM2zknL1auXDnXstKlSysgIECnT5/Od4zU1FT9/vvvqlixooxGY67lOVNQOFESAAAAjuKSJ0gmJydLkvz9/fNc7ufnpwsXLuQ7RlJSknXdW41x477yYs88HPy18TMA5MbnArDFZwL5cckj2wAAAMBfgUuG7ZyjzjlHp2+WnJx8y6PeOXKW3+rIdU7/rY58AwAAAIXlkmE7Zz51XvOyr1y5ooSEhDznc9/Ix8dHQUFBio2NVXZ2dq7lOXO1b3f5QAAAAOBOuWTYbtSokSRp27ZtuZZt375dkvTwww/fdpyHH35Yqamp2r9/f65lOWPn7AsAAAAoai4Ztps0aaLQ0FCtWbNGv/zyi7U/OTlZs2bNkru7uzp37mztv3z5sk6cOKHLly/bjPPMM89IkqZOnaqMjAxr/44dO7Rt2zY1atRIVatWdfCzAQAAQEnlkneQlK7f2KZPnz4ymUyKioqSn5+fNmzYoNjYWA0bNkwDBw60rjt9+nTNmDFDgwcP1pAhQ2zGGTt2rJYvX67q1aurRYsW1tu1e3p6crv2Euzw4cNaunSp9u7dq0uXLslsNqt8+fJ68MEH9eSTT1qv557zszVlyhR16NAhz7Fee+01ffrpp1q0aJEaN258N58GUCRiY2PVqlUrmz53d3eVLVtWYWFh6tOnjx544AG1bNlScXFxdo+7adMmVaxYsajLBRzu2rVrWrhwob7++mudOnVKWVlZCggIUMWKFdWwYUM9/fTTqlSpknX9b7/9VkuXLtWhQ4d09epV+fn5KSgoSA888IBatWql1q1bO/HZwNlc8tJ/khQeHq6lS5dq2rRpWr9+vTIzM1W9enUNHTpUnTp1snuc8ePHq2bNmvr000/10UcfycfHR5GRkRo+fDhHtUsgs9msSZMm6cMPP5S7u7vCw8PVsmVLubu76+zZs9q6dau+/PJLvfjiixo0aJCzywXuqkqVKln/fU1NTdXPP/+sr776Sps2bdIHH3ygnj175jpxfeHChUpKStLgwYNzjVeqVKm7UjdQlJKTk9WjRw8dO3ZMlStXVseOHVWqVCmdP39e//vf/zRnzhxVqlTJGrZnzJih6dOny9vbWxEREQoJCVFSUpLOnj2r9evX69SpU4TtEs5lw7Yk1atXT/PmzbvtekOGDMl1RDuHm5ubnn/+eT3//PNFXR6KoalTp+rDDz9U7dq1NW3aNJsjE5KUlpamxYsXKzEx0TkFAk5UqVKlXP+WzpkzR//5z3/03nvvafHixbm2+fzzz5WUlHTLf4OB4mbhwoU6duyYunbtqgkTJshgMNgsP3v2rHVqamxsrGbOnKl7771Xn376qSpUqGCzblpamn766ae7Vjtck0uHbaAonT59WvPmzVOZMmU0b948lStXLtc6Xl5e6tOnj80cf6Ak69q1q/7zn//o559/dnYpwF1x4MABSdJzzz2XK2hLUmhoqLV98OBBmc1mtWnTJlfQlq7/TmF6IVzyBEnAEVauXKns7Gx17949z6B9Iw8Pj7tUFVA8GI1GZ5cA3BWlS5eWlPflh29WpkwZSdKZM2ccWRKKOY5so8TIuQRkeHh4gbf9+uuvdfLkyTyXHT58uFB1Aa7sk08+kSQ1bNjQyZUAd0fbtm21evVqvfrqqzp8+LAeffRR1alTxxrCb1S/fn3dc889+vbbbxUTE6MOHTrogQceUGhoaJ5HxVEyEbZRYvzxxx+SlOef+m7n66+/1tdff13UJQEu5cyZM5o+fbqk6ydIHj58WLt371ZgYKBGjx7t5OqAu6N169YaNWqUZs6cqblz52ru3LmSrp/T0KxZM/Xs2dN6QzxfX1/NnDlTL7/8sjZt2qRNmzZJun4X64ceekhPPfWU2rRp46ynAhdB2AbsYM+l/4Di7syZM5oxY4ZNX2BgoJYsWcLVm1Ci9OnTR927d9f333+vH3/8UYcPH9bBgwe1ZMkSrVixQu+++671cpn333+/1qxZox9//FG7du3Szz//rH379mnLli3asmWLOnbsqMmTJ3OkuwRjzjZKjJx52hcvXnRyJYBratq0qY4dO6Zjx45px44dGj16tBISEjRo0CClpKQ4uzzgrvLz81O7du30yiuvaOnSpdqxY4d69Oih9PR0vfrqqzYn0hsMBoWFhWngwIGaMWOGfvjhB82cOVO+vr5avXq1Nm7c6MRnAmcjbKPECAsLk3T9hkkA8le2bFn17t1b/fv314kTJzR16lRnlwQ4lb+/v1577TWFhIQoISFBv/766y3XNRgMat26tV544QVJ/N4p6QjbKDG6dOkio9GoTz/9VJcvX853XS79B1w3YMAAlS9fXh9//LFiY2OdXQ7gVAaDQV5eXnav7+3t7cBqUFwQtlFiVK5cWX369FFCQoL69Omjs2fP5lonPT1dH3zwgfUkMaCk8/LyUt++fZWZmalZs2Y5uxzA4T755BMdPHgwz2UbNmzQyZMnVapUKdWoUUMHDx7UF198ofT09FzrxsfHa8WKFZK4mk9JxwmSKFGGDRum9PR0ffjhh2rXrp0aN26sGjVqyN3dXbGxsfrhhx+UmJioYcOGObtUwGV069ZNc+fO1apVqzRgwIBcd14F/kq+++47jRs3TpUrV1ZYWJjKly+v1NRU/fLLL9q7d6/c3Nw0btw4eXh46NKlS3r55Zc1fvx4NWrUSNWqVZPRaFRcXJy+/fZbpaamKiIiQm3btnX204ITEbZRori5uWnMmDGKiorSxx9/rL1792rv3r0ym80KCgpS06ZN1aVLFz366KPOLhVwGZ6enurfv7/efPNNzZgxQ2+//bazSwIcZuTIkQoLC9MPP/ygPXv26Pfff5d0/bKxnTt31nPPPaf7779f0vX7NkyePFnbtm3TkSNHtH//fqWmpqpUqVKqX7++oqKi1LlzZ7m5MZGgJDNYLBaLs4sAAAAA/or4qgUAAAA4CGEbAAAAcBDCNgAAAOAghG0AAADAQQjbAAAAgIMQtgEAAAAHIWwDAAAADkLYBgAAAByEsA0AAAA4CGEbAFzU9u3bFRMTo0cffVT333+/GjdurPbt22vEiBFatmyZMjIynF1ivqZPn66aNWtq5cqVzi4FAJzG3dkFAABymzZtmmbOnClJqlGjhsLCwuTm5qbffvtNa9eu1Zo1axQZGamgoCAnVwoAyI/BYrFYnF0EAOBPhw4dUteuXWUymTRz5ky1aNHCZvnFixe1bNky9ezZU6VLl3ZSlbd3+fJlJSQkqHz58vL393d2OQDgFBzZBgAXs3HjRklSu3btcgVtSapQoYKGDBlyt8sqsLJly6ps2bLOLgMAnIqwDQAu5vLly5JUoKBas2ZNhYSE6KuvvtLs2bP15Zdf6uLFiypfvrw6deqkAQMGyNPTM9d2GRkZ+vjjj/Xll1/q5MmTslgsql69urp166auXbvKYDDkWd8HH3ygLVu2KDY2Vu7u7goJCVFERIReeOEFBQQESLo+Z3vGjBmaOHGiunTpUqj9nj9/XnPmzNEPP/ygCxcuyNPTU0FBQWrYsKFeeOEFVatWze7XCgDuJsI2ALiYChUqSJI2bNig/v372x26LRaLXnzxRe3YsUNNmjRR7dq1tWPHDs2aNUs//vij5s+fL6PRaF0/NTVVffv21d69exUQEKCGDRvKzc1NBw4c0NixY3Xo0CGNHz/eZh//+9//FB0drYsXLyooKEjNmjVTdna2fvvtN82ePVuPPPKIGjdunG+dBd3vhQsX1LlzZyUkJKhmzZqKjIxUenq6zp07p2XLlqlBgwaEbQAui7ANAC6mU6dOmjNnjs6dO6c2bdqodevWeuihh9SgQQNVr149z6PNknTu3DmZzWatWbNGoaGhkq4fhe7Vq5d27NihJUuWqGfPntb13377be3du1dPPPGExo0bJ19fX+s2AwYM0KeffqqWLVsqIiJCkpSVlaUhQ4bo4sWLio6O1ksvvSSTyWQd78iRI3Z9MSjofpcvX66EhAT985//1D/+8Q+bseLi4pSdnW3fCwsATsCl/wDAxVSqVEmzZs1S+fLllZycrC+++EJjx45VVFSUHn30Ub399tu6evVqntsOGjTIGrSl61NRRo0aJUlasmSJtT8+Pl4rVqxQxYoVNWHCBGvgzdkm58jyJ598Yu3fsGGDTp48qZo1a2rUqFE2QVuS6tSpo3vuuSff53Yn+42Pj5ckhYeH5xovJCRElSpVynefAOBMhG0AcEFNmzbVpk2bNHXqVD3zzDOqWbOm3NzcFB8fr/nz56tr167Wud03at++fa6+5s2bq3Tp0jp16pR1m927dyszM1PNmjWTh4dHrm1q1aolX19fHT582Nq3Y8cOSdIzzzwjN7c7+/VxJ/utW7euJOmNN97Qzp07lZWVdUf7BgBnYBoJALgoDw8PtWvXTu3atZN0fZrFypUrNWPGDJ0+fVpTpkzRhAkTrOuXLl1afn5+eY4VHBysK1eu6NKlSypbtqzi4uIkSR9//LE+/vjjW9aQnp5ubZ8/f16SbI6cF9Sd7LdLly7avn271q9fr169esnb21v333+/mjdvrqeeekqBgYF3XA8AOBphGwCKibJly6pPnz7y8vLSm2++qW+//dbubW++pYLZbJZ0fepHzZo1C1THreaM2+NO9ms0GjV16lT169dPmzZt0q5du3TgwAHt2bNH77//vubPn68GDRrccU0A4EiEbQAoZh5++GFJUmJiok3/lStXlJycnOfR7Zyj0jl3nMy54snDDz+sMWPG2LXfe++9V5J05syZO6r7Tvebo06dOqpTp46GDBmi5ORkzZgxQx988IHeeustLV++/I5rAgBHYs42ALiY293YNyfsli9fPtey9evX5+r7/vvvdeXKFVWpUsU65SI8PFxGo1Hffvut3VfzaNKkiaTrVwe505sP38l+8+Ln56eXXnpJBoNBv/766x2PAwCORtgGABczdepUvf322zp79myuZadOndKkSZMkSW3atMm1fObMmYqNjbU+vnz5siZPnixJ+vvf/27tr1Chgjp37qxTp05p9OjReZ5suX//fm3dutX6+LHHHlOVKlV09OhRvfPOO7lOVPzll1904cKFfJ/bnez3iy++yDNQf/fdd7JYLNYj7gDgiphGAgAuJjU1VYsWLdKCBQtUtWpV/e1vf5O7u7vOnz+vgwcPymw2q27duho8eLDNdsHBwapZs6aioqIUHh4uk8mknTt36urVq2rcuLGee+45m/XHjh2rs2fPas2aNdqyZYtq166t8uXL648//tDp06d18eJF9ezZ03rLeHd3d02fPl3R0dGaN2+evvzySz344IPWm9qcOHFCixYtuu3l/wq63w0bNujll19WpUqVVKNGDXl5eSkuLk4HDhyQ0WjUSy+9VISvPgAULYPlTv8WCABwiMuXL+u7777Ttm3bdOzYMV26dEnJycny9/dXjRo19Pjjj+vpp5+2uXTejbdrnzlzplavXq1Lly6pfPny6tixowYOHCgvL69c+8rKytLnn3+uL7/8UseOHVNqaqoCAwMVGhqqiIgIRUVF5QrPf/zxh+bPn6/Nmzfr3Llz8vb2VnBwsPV27WXKlJGU/+3aC7LfPXv2aP369dq/f7/Onz+va9euqUKFCqpXr5569+6tOnXqFPE7AABFh7ANAH8BOWF78+bNzi4FAHAD5mwDAAAADkLYBgAAAByEsA0AAAA4CHO2AQAAAAfhyDYAAADgIIRtAAAAwEEI2wAAAICDELYBAAAAByFsAwAAAA5C2AYAAAAchLANAAAAOAhhGwAAAHCQ/w8dmdo7JSZyBAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = az.plot_ppc(idata_t, kind=\"kde\", num_pp_samples=100, random_seed=123)\n", + "ax.set_ylim(0, 0.7)\n", + "ax.set_yticks([0, 0.2, 0.4, 0.6])\n", + "ax.set_ylabel(\"Probability\")\n", + "ax.set_xticks([0.5, 1.5, 2.5])\n", + "ax.set_xticklabels([\"CH\", \"RT\", \"SS\"])\n", + "ax.set_xlabel(\"Species\");" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "2c369133-8f7d-407d-a2c2-bddc664eacb7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.DataArray 'y' ()> Size: 8B\n",
+       "array(97.26565657)
" + ], + "text/plain": [ + " Size: 8B\n", + "array(97.26565657)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.mean((idata_t.posterior_predictive[\"y\"] - y_0) == 0) * 100" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "ca9fcfd1-0064-4c5a-a29b-4fdfea24347e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Size: 8B\n", + "array(6.48922559)\n", + " Size: 8B\n", + "array(62.95244108)\n", + " Size: 8B\n", + "array(27.8239899)\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.DataArray 'y' ()> Size: 8B\n",
+       "array(97.26565657)
" + ], + "text/plain": [ + " Size: 8B\n", + "array(97.26565657)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all = 0\n", + "for i in range(3):\n", + " perct_per_class = np.mean(idata_t.posterior_predictive[\"y\"].where(y_0 == i) == i) * 100\n", + " all += perct_per_class\n", + " print(perct_per_class)\n", + "all" + ] + }, + { + "cell_type": "markdown", + "id": "fc13da7e-8209-44f4-b72d-3e3562fabc9a", + "metadata": {}, + "source": [ + "## Authors\n", + "- Authored by [Pablo Garay](https://github.com/PabloGGaray) and [Osvaldo Martin](https://aloctavodia.github.io/) in May, 2024 " + ] + }, + { + "cell_type": "markdown", + "id": "1f1a0244-9527-4226-a3e1-4baef47f85f4", + "metadata": {}, + "source": [ + "## References \n", + ":::{bibliography} :filter: docname in docnames :::" + ] + }, + { + "cell_type": "markdown", + "id": "9181cbd4-3d3e-4fa6-b2b5-ffeb19617464", + "metadata": {}, + "source": [ + "## Watermark " + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "e03237e2-f7d4-4f76-954c-06c8e87bcc7e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Last updated: Wed May 29 2024\n", + "\n", + "Python implementation: CPython\n", + "Python version : 3.10.0\n", + "IPython version : 8.24.0\n", + "\n", + "pytensor: 2.20.0\n", + "\n", + "numpy : 1.26.4\n", + "arviz : 0.18.0\n", + "pymc : 5.15.0\n", + "seaborn : 0.13.2\n", + "pymc_bart : 0.5.14\n", + "pandas : 2.2.2\n", + "matplotlib: 3.8.4\n", + "\n", + "Watermark: 2.4.3\n", + "\n" + ] + } + ], + "source": [ + "%load_ext watermark\n", + "%watermark -n -u -v -iv -w -p pytensor" + ] + }, + { + "cell_type": "markdown", + "id": "2529c41f-a6e6-49ff-915e-cff5c886e1d3", + "metadata": {}, + "source": [ + ":::{include} ../page_footer.md :::" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "29d5164fb80017af7e68c98cc3a90e69a0f56286ef7c61f6b2eff22042ebabb0" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.10.0" + }, + "myst": { + "substitutions": { + "conda_dependencies": "pymc-bart", + "pip_dependencies": "pymc-bart" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/bart/bart_categorical_hawks.myst.md b/examples/bart/bart_categorical_hawks.myst.md new file mode 100644 index 000000000..76530d197 --- /dev/null +++ b/examples/bart/bart_categorical_hawks.myst.md @@ -0,0 +1,273 @@ +--- +jupytext: + text_representation: + extension: .md + format_name: myst + format_version: 0.13 +kernelspec: + display_name: Python 3 (ipykernel) + language: python + name: python3 +myst: + substitutions: + conda_dependencies: pymc-bart + pip_dependencies: pymc-bart +--- + ++++ {"editable": true, "slideshow": {"slide_type": ""}} + +(bart_categorical)= +# Categorical regression + +:::{post} May, 2024 +:tags: BART, regression +:category: beginner, reference +:author: Pablo Garay, Osvaldo Martin +::: + ++++ + +In this example, we will model outcomes with more than two categories. +:::{include} ../extra_installs.md +::: + +```{code-cell} ipython3 +import os +import warnings + +import arviz as az +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +import pymc as pm +import pymc_bart as pmb +import seaborn as sns + +warnings.simplefilter(action="ignore", category=FutureWarning) +``` + +```{code-cell} ipython3 +# set formats +RANDOM_SEED = 8457 +az.style.use("arviz-darkgrid") +``` + +## Hawks dataset + +Here we will use a dataset that contains information about 3 species of hawks (*CH*=Cooper's, *RT*=Red-tailed, *SS*=Sharp-Shinned). This dataset has information for 908 individuals in total, each one containing 16 variables, in addition to the species. To simplify the example, we will use the following 5 covariables: +- *Wing*: Length (in mm) of primary wing feather from tip to wrist it attaches to. +- *Weight*: Body weight (in gr). +- *Culmen*: Length (in mm) of the upper bill from the tip to where it bumps into the fleshy part of the bird. +- *Hallux*: Length (in mm) of the killing talon. +- *Tail*: Measurement (in mm) related to the length of the tail. + +Also we are going to eliminate the NaNs in the dataset. With these we will predict the "Species" of hawks, in other words, these are our dependent variables, the classes we want to predict. + +```{code-cell} ipython3 +# Load data and eliminate NANs +try: + Hawks = pd.read_csv(os.path.join("..", "data", "Hawks.csv"))[ + ["Wing", "Weight", "Culmen", "Hallux", "Tail", "Species"] + ].dropna() +except FileNotFoundError: + Hawks = pd.read_csv(pm.get_data("Hawks.csv"))[ + ["Wing", "Weight", "Culmen", "Hallux", "Tail", "Species"] + ].dropna() + +Hawks.head() +``` + +## EDA +The following compares covariables to get a rapid data visualization for the 3 species. + +```{code-cell} ipython3 +sns.pairplot(Hawks, hue="Species"); +``` + +It can be seen that the RT species have distributions more differentiated than the other two in almost all covariables, and the covariables wing, weight, and culmen present certain separations between species. Still, none of the variables have a marked separation among the species distributions such that they can cleanly separate them. It is possible to make a combination of covariables, probably wing, weight, and culmen, to achieve the classification. These are the principal reasons for realizing the regression. + ++++ + +## Model Specification + +First, we are going to prepare the data for the model, using "Species" as response and, "Wing", "Weight", "Culmen", "Hallux" and "Tail" as predictors. Using `pd.Categorical(Hawks['Species']).codes` we can codify the name species into integers between 0 and 2, being 0="CH", 1="RT" and 2="SS". + +```{code-cell} ipython3 +y_0 = pd.Categorical(Hawks["Species"]).codes +x_0 = Hawks[["Wing", "Weight", "Culmen", "Hallux", "Tail"]] +print(len(x_0), x_0.shape, y_0.shape) +``` + +We only can have an instance of {class}`~pymc_bart.BART()` in each pymc model (for now), so to model 3 species we can use coordinate and dimension names to specify the shapes of variables, *indicating* that there are 891 rows of information for 3 species. This step facilite the later selection of groups from the `InferenceData`. + +```{code-cell} ipython3 +_, species = pd.factorize(Hawks["Species"], sort=True) +species +``` + +```{code-cell} ipython3 +coords = {"n_obs": np.arange(len(x_0)), "species": species} +``` + +In this model we use the `pm.math.softmax()` function, for $\mu$ from `pmb.BART()`, because guarantees that the vector sums to 1 along the `axis=0` in this case. + +```{code-cell} ipython3 +with pm.Model(coords=coords) as model_hawks: + μ = pmb.BART("μ", x_0, y_0, m=50, dims=["species", "n_obs"]) + θ = pm.Deterministic("θ", pm.math.softmax(μ, axis=0)) + y = pm.Categorical("y", p=θ.T, observed=y_0) + +pm.model_to_graphviz(model=model_hawks) +``` + + Now fit the model and get samples from the posterior. + +```{code-cell} ipython3 +with model_hawks: + idata = pm.sample(chains=4, compute_convergence_checks=False, random_seed=123) + pm.sample_posterior_predictive(idata, extend_inferencedata=True) +``` + +## Results + +### Variable Importance + +It may be that some of the input variables are not informative for classifying by species, so in the interest of parsimony and in reducing the computational cost of model estimation, it is useful to quantify the importance of each variable in the dataset. PyMC-BART provides the function {func}`~pymc_bart.plot_variable_importance()`, which generates a plot that shows on his x-axis the number of covariables and on the y-axis the R$^2$ (the square of the Pearson correlation coefficient) between the predictions made for the full model (all variables included) and the restricted models, those with only a subset of the variables. The error bars represent the 94 % HDI from the posterior predictive distribution. + +```{code-cell} ipython3 +--- +editable: true +slideshow: + slide_type: '' +--- +pmb.plot_variable_importance(idata, μ, x_0, method="VI", random_seed=RANDOM_SEED); +``` + +It can be observed that with the covariables `Hallux`, `Culmen`, and `Wing` we achieve the same R$^2$ value that we obtained with all the covariables, this is that the last two covariables contribute less than the other three to the classification. One thing we have to take into account in this is that the HDI is quite wide, which gives us less precision on the results, later we are going to see a way to reduce this. + ++++ + +### Partial Dependence Plot + +Let's check the behavior of each covariable for each species with `pmb.plot_pdp()`, which shows the marginal effect a covariate has on the predicted variable, while we average over all the other covariates. + +```{code-cell} ipython3 +pmb.plot_pdp(μ, X=x_0, Y=y_0, grid=(5, 3), figsize=(6, 9)); +``` + +The pdp plot, together with the Variable Importance plot, confirms that `Tail` is the covariable with the smaller effect over the predicted variable. In the Variable Importance plot `Tail` is the last covariable to be added and does not improve the result, in the pdp plot `Tail` has the flattest response. For the rest of the covariables in this plot, it's hard to see which of them have more effect over the predicted variable, because they have great variability, showed in the HDI wide, same as before later we are going to see a way to reduce this variability. Finally, some variability depends on the amount of data for each species, which we can see in the `counts` from one of the covariables using Pandas `.describe()` and grouping the data from "Species" with `.groupby("Species")`. + ++++ + +### Predicted vs Observed + +Now we are going to compare the predicted data with the observed data to evaluate the fit of the model, we do this with the Arviz function `az.plot_ppc()`. + +```{code-cell} ipython3 +ax = az.plot_ppc(idata, kind="kde", num_pp_samples=200, random_seed=123) +# plot aesthetics +ax.set_ylim(0, 0.7) +ax.set_yticks([0, 0.2, 0.4, 0.6]) +ax.set_ylabel("Probability") +ax.set_xticks([0.5, 1.5, 2.5]) +ax.set_xticklabels(["CH", "RT", "SS"]) +ax.set_xlabel("Species"); +``` + +We can see a good agreement between the observed data (black line) and those predicted by the model (blue and orange lines). As we mentioned before, the difference in the values between species is influenced by the amount of data for each one. Here there is no observed dispersion in the predicted data as we saw in the previous two plots. + ++++ + +Below we see that the in-sample predictions provide very good agreement with the observations. + +```{code-cell} ipython3 +np.mean((idata.posterior_predictive["y"] - y_0) == 0) * 100 +``` + +```{code-cell} ipython3 +all = 0 +for i in range(3): + perct_per_class = np.mean(idata.posterior_predictive["y"].where(y_0 == i) == i) * 100 + all += perct_per_class + print(perct_per_class) +all +``` + +So far we have a very good result concerning the classification of the species based on the 5 covariables. However, if we want to select a subset of covariable to perform future classifications is not very clear which of them to select. Maybe something sure is that `Tail` could be eliminated. At the beginning when we plot the distribution of each covariable we said that the most important variables to make the classification could be `Wing`, `Weight` and, `Culmen`, nevertheless after running the model we saw that `Hallux`, `Culmen` and, `Wing`, proved to be the most important ones. + +Unfortunatelly, the partial dependence plots show a very wide dispersion, making results look suspicious. One way to reduce this variability is adjusting independent trees, below we will see how to do this and get a more accurate result. + ++++ + +## Fitting independent trees + +The option to fit independent trees with `pymc-bart` is set with the parameter `pmb.BART(..., separate_trees=True, ...)`. As we will see, for this example, using this option doesn't give a big difference in the predictions, but helps us to reduce the variability in the ppc and get a small improvement in the in-sample comparison. In case this option is used with bigger datasets you have to take into account that the model fits more slowly, so you can obtain a better result at the expense of computational cost. The following code runs the same model and analysis as before, but fitting independent trees. Compare the time to run this model with the previous one. + +```{code-cell} ipython3 +with pm.Model(coords=coords) as model_t: + μ_t = pmb.BART("μ", x_0, y_0, m=50, separate_trees=True, dims=["species", "n_obs"]) + θ_t = pm.Deterministic("θ", pm.math.softmax(μ_t, axis=0)) + y_t = pm.Categorical("y", p=θ_t.T, observed=y_0) + idata_t = pm.sample(chains=4, compute_convergence_checks=False, random_seed=123) + pm.sample_posterior_predictive(idata_t, extend_inferencedata=True) +``` + +Now we are going to reproduce the same analyses as before. + +```{code-cell} ipython3 +pmb.plot_variable_importance(idata_t, μ_t, x_0, method="VI", random_seed=RANDOM_SEED); +``` + +```{code-cell} ipython3 +pmb.plot_pdp(μ_t, X=x_0, Y=y_0, grid=(5, 3), figsize=(6, 9)); +``` + +Comparing these two plots with the previous ones shows a marked reduction in the variance for each one. In the case of `pmb.plot_variable_importance()` there are smallers error bands with an R$^{2}$ value more close to 1. And for `pm.plot_pdp()` we can see thinner bands and a reduction in the limits on the y-axis, this is a representation of the reduction of the uncertainty due to adjusting the trees separately. Another benefit of this is that is more visible the behavior of each covariable for each one of the species. + +With all these together, we can select `Hallux`, `Culmen`, and, `Wing` as covariables to make the classification. + ++++ + +Concerning the comparison between observed and predicted data, we obtain the same good result with less uncertainty for the predicted values (blue lines). And the same counts for the in-sample comparison. + +```{code-cell} ipython3 +ax = az.plot_ppc(idata_t, kind="kde", num_pp_samples=100, random_seed=123) +ax.set_ylim(0, 0.7) +ax.set_yticks([0, 0.2, 0.4, 0.6]) +ax.set_ylabel("Probability") +ax.set_xticks([0.5, 1.5, 2.5]) +ax.set_xticklabels(["CH", "RT", "SS"]) +ax.set_xlabel("Species"); +``` + +```{code-cell} ipython3 +np.mean((idata_t.posterior_predictive["y"] - y_0) == 0) * 100 +``` + +```{code-cell} ipython3 +all = 0 +for i in range(3): + perct_per_class = np.mean(idata_t.posterior_predictive["y"].where(y_0 == i) == i) * 100 + all += perct_per_class + print(perct_per_class) +all +``` + +## Authors +- Authored by [Pablo Garay](https://github.com/PabloGGaray) and [Osvaldo Martin](https://aloctavodia.github.io/) in May, 2024 + ++++ + +## References +:::{bibliography} :filter: docname in docnames ::: + ++++ + +## Watermark + +```{code-cell} ipython3 +%load_ext watermark +%watermark -n -u -v -iv -w -p pytensor +``` + +:::{include} ../page_footer.md ::: diff --git a/examples/conf.py b/examples/conf.py index a0185dad9..054a17871 100644 --- a/examples/conf.py +++ b/examples/conf.py @@ -181,6 +181,7 @@ def setup(app: Sphinx): "numpy": ("https://numpy.org/doc/stable/", None), "pandas": ("https://pandas.pydata.org/pandas-docs/stable/", None), "pymc": ("https://www.pymc.io/projects/docs/en/stable/", None), + "pymc-bart": ("https://www.pymc.io/projects/bart/en/latest/", None), "pytensor": ("https://pytensor.readthedocs.io/en/latest/", None), "pmx": ("https://www.pymc.io/projects/experimental/en/latest/", None), "scipy": ("https://docs.scipy.org/doc/scipy/reference/", None), diff --git a/examples/data/Hawks.csv b/examples/data/Hawks.csv new file mode 100644 index 000000000..7f98898aa --- /dev/null +++ b/examples/data/Hawks.csv @@ -0,0 +1,909 @@ +rownames,Month,Day,Year,CaptureTime,ReleaseTime,BandNumber,Species,Age,Sex,Wing,Weight,Culmen,Hallux,Tail,StandardTail,Tarsus,WingPitFat,KeelFat,Crop +1,9,19,1992,13:30,,877-76317,RT,I,,385,920,25.7,30.1,219,,,,, +2,9,22,1992,10:30, ,877-76318,RT,I,,376,930,,,221,,,,, +3,9,23,1992,12:45, ,877-76319,RT,I,,381,990,26.7,31.3,235,,,,, +4,9,23,1992,10:50, ,745-49508,CH,I,F,265,470,18.7,23.5,220,,,,, +5,9,27,1992,11:15, ,1253-98801,SS,I,F,205,170,12.5,14.3,157,,,,, +6,9,28,1992,11:25, ,1207-55910 ,RT,I,,412,1090,28.5,32.2,230,,,,, +7,9,28,1992,13:30, ,877-76320,RT,I,,370,960,25.3,30.1,212,,,,, +8,9,29,1992,11:45, ,877-76321,RT,A,,375,855,27.2,30,243,,,,, +9,9,29,1992,15:35, ,877-76322,RT,A,,412,1210,29.3,31.3,210,,,,, +10,9,30,1992,13:45, ,1207-55911,RT,I,,405,1120,26,30.2,238,,,,, +11,10,5,1992,13:30, ,877-76323,RT,I,,393,1010,26.3,30.8,222,,,,, +12,10,8,1992,13:45, ,877-76324,RT,I,,371,1010,25.4,29.7,217,,,,, +13,10,9,1992,12:30, ,877-76325,RT,A,,390,1120,28.9,30.9,213,,,,, +14,10,10,1992,11:05, ,1207-55917,RT,A,,393,,28.2,30.6,238,,,,, +15,10,11,1992,11:00, ,1207-55912,RT,I,,416,1170,26.5,34,243,,,,, +16,10,11,1992,11:45, ,1207-55913,RT,A,,436,1390,30.5,34,232,,,,, +17,10,11,1992,12:40, ,877-76326,RT,I,,418,1150,27.1,31,238,,,,, +18,10,11,1992,14:20, ,877-76327,RT,A,,381,950,28.9,28.9,202,,,,, +19,10,12,1992,13:40, ,877-76328,RT,I,,378,910,25.7,28.2,227,,,,, +20,10,13,1992,11:00, ,877-76329,RT,I,,396,1010,24,26.9,227,,,,, +21,10,13,1992,14:50, ,877-76330,RT,I,,399,1070,26.4,31.2,222,,,,, +22,10,14,1992,13:15, ,877-76331,RT,I,,416,1190,28.8,31.6,237,,,,, +23,10,17,1992,12:10, ,877-76332,RT,I,,415,101,24.9,30.7,238,,,,, +24,10,22,1992,13:05, ,877-76333,RT,A,,392,1330,27,30.3,213,,,,, +25,10,23,1992,11:45, ,877-76334,RT,I,,380,990,26,30,211,,,,, +26,10,23,1992,16:05, ,1173-19901,SS,I,M,173,100,,,130,,,,, +27,10,24,1992,14:35, ,877-76335,RT,I,,399,1100,26.2,32.5,190,,,,, +28,10,25,1992,12:05, ,1207-55914,RT,A,,401,1190,28.6,31.6,245,,,,, +29,10,27,1992,10:05, ,1253-98802,SS,I,F,205,180,11.7,15,164,,,,, +30,10,27,1992,10:45, ,608-48703,RT,I,,427,1490,30.1,32.4,246,,,,, +31,10,27,1992,15:15, ,1207-55915,RT,A,,395,1040,27.1,31.4,207,,,,, +32,10,30,1992,11:05, ,877-76336,RT,I,,362,820,24.9,27.9,209,,,,, +33,11,3,1992,10:15, ,1207-55916,RT,A,,396,1030,26,29.7,200,,,,, +34,11,8,1992,11:45, ,1207-55918,RT,A,,391,1300,25.5,32.4,215,,,,, +35,11,8,1992,13:30, ,1207-55919,RT,A,,413,1500,26.5,31.3,219,,,,, +36,11,13,1992,10:45, ,987-53707,RT,A,,371,1080,25.3,27.2,198,,,,, +37,11,16,1992,11:15, ,1207-55920,RT,A,,385,1320,27.3,30.1,207,,,,, +38,11,21,1992,14:00, ,877-76337,RT,A,,378,1490,25.4,31.3,204,,,,, +39,11,22,1992,10:08, ,1207-55921,RT,A,,416,1500,29.1,30.8,205,,,,, +40,9,13,1993,14:25, ,173-19904,SS,I,M,193,100,9.3,101,144,,,,, +41,9,17,1993,15:25, ,193-19905,SS,I,M,171,88,9.7,11.5,136,,,,, +42,9,20,1993,13:45, ,120407-804,CH,I,,233,324,16,19.3,191,,,,, +43,9,21,1993,15:11, ,877-76339,RT,I,,384,1060,26.1,31.2,230,,,,, +44,9,22,1993,13:50, ,877-76340,RT,I,,382,1140,25.1,29.4,227,,,,, +45,9,22,1993,15:55, ,877-76341,RT,I,,390,1030,27.6,30.3,208,,,,, +46,9,27,1993,12:15, ,877-76342,RT,I,,390,1000,25.1,28.3,231,,,,, +47,9,27,1993,13:00, ,877-76344,RT,I,,393,1050,28.7,29.8,222,,,,, +48,9,27,1993,13:20, ,877-76345,RT,I,,378,1040,26.2,31.2,225,,,,, +49,9,27,1993,15:03, ,877-76346,RT,I,,398,1110,26.5,30.9,225,,,,, +50,9,28,1993,11:50, ,877-76347,RT,I,,412,1300,27.9,31.55,233,,,,, +51,9,28,1993,12:45, ,877-76348,RT,I,,400,980,25.7,29.3,214,,,,, +52,9,29,1993,9:53, ,877-76349,RT,I,,422,1120,26.4,28.3,233,,,,, +53,9,29,1993,10:25, ,1253-98803,SS,I,F,202,134,12.4,13.7,158,,,,, +54,9,29,1993,15:30, ,877-76350,RT,I,,394,1270,27.8,31.6,245,,,,, +55,9,30,1993,13:25, ,787-53708,RT,I,,369,880,25,26.5,210,,,,, +56,10,1,1993,10:20, ,745-49512,CH,I,F,252,340,16,20.8,230,,,,, +57,10,1,1993,10:45, ,745-49513,CH,A,M,240,340,16.1,19.3,192,,,,, +58,10,3,1993,13:35, ,1207-55922,RT,I,,410,1255,29.7,31.4,229,,,,, +59,10,4,1993,11:25, ,1207-55923,RT,I,,241,1320,28.6,36.4,235,,,,, +60,10,7,1993,14:40, ,1207-55924,RT,I,,408,1320,30,33.4,221,,,,, +61,10,9,1993,9:38, ,877-76351,RT,I,,37.2,1180,20.2,26.65,210,,,,, +62,10,9,1993,10:20, ,877-76552,RT,I,,380,760,24.5,26.1,212,,,,, +63,10,10,1993,11:25, ,1207-55927,RT,I,,396,1250,26.6,32.5,225,,,,, +64,10,10,1993,13:27, ,877-76353,RT,I,,326,,25.2,27.7,215,,,,, +65,10,11,1993,11:35, ,1173-19906,SS,I,M,158,100,10.8,10.5,122,,,,, +66,10,11,1993,14:00, ,877-76354,RT,I,,416,1300,27.3,32.7,235,,,,, +67,10,12,1993,13:15, ,745-49515,CH,I,F,271,475,18.2,24.75,232,,,,, +68,10,13,1993,9:23, ,1173-19907,SS,A,M,176,100,9.8,11.1,133,,,,, +69,10,14,1993,14:05, ,1373-35272,SS,A,F,194,,11.4,14.2,154,,,,, +70,10,21,1993,9:20, ,877-76355,RT,A,,390,1080,30.2,29.1,209,,,,, +71,10,21,1993,15:30, ,877-76357,RT,A,,391,1130,26.4,29.4,212,,,,, +72,10,22,1993,16:35, ,877-76358,RT,A,,387,1160,26.8,31,209,,,,, +73,10,23,1993,13:05, ,1207-55941,RT,I,,420,1345,29.5,34.3,250,,,,, +74,10,25,1993,14:12, ,877-76359,RT,A,,435,1385,32.6,30.6,235,,,,, +75,10,26,1993,15:55, ,877-76360,RT,A,,400,1210,25.5,28.6,222,,,,, +76,10,31,1993,11:35, ,1207-55947,RT,I,,398,1455,28,31.5,236,,,,, +77,11,5,1993,11:00, ,877-76361,RT,I,,395,1180,25,28.9,210,,,,, +78,11,18,1993,10:37, ,877-76362,RT,I,,410,1500,27.1,33.2,239,,,,, +79,9,6,1994,9:55, ,1387-99101,RT,I,,369,1025,27.1,31.5,228,,,,, +80,9,6,1994,10:40, ,1387-99102,RT,I,,372,930,26.1,31.1,220,,,,, +81,9,7,1994,12:27, ,1387-99104,RT,I,,415,1360,28.6,33.5,233,,,,, +82,9,7,1994,13:35, ,1387-99103,RT,I,,412,1255,27.7,32.6,236,,,,, +83,9,8,1994,12:10, ,1423-16201,SS,I,F,205,194,12.6,14.4,155,,,,, +84,9,9,1994,9:02, ,2003-58433,SS,I,F,204,159,12.5,14.8,152,,,,, +85,9,9,1994,10:47, ,872-09611,SS,I,M,170,90,9.5,11.3,135,,,,, +86,9,12,1994,11:24, ,1204-45804,CH,A,M,233,340,17.8,19.4,186,,,,, +87,9,12,1994,13:50, ,1387-97105,RT,I,,375,1065,25.9,30,216,,,,, +88,9,13,1994,11:58, ,1387-79106,RT,I,,385,1125,19.6,31.4,233,,,,, +89,9,15,1994,12:45, ,1207-64601,RT,I,,422,1340,28.7,32,248,,,,, +90,9,15,1994,13:20, ,1387-79107,RT,I,,391,1050,26.6,32.2,221,,,,, +91,9,15,1994,13:35, ,1387-79108,RT,I,,410,1210,27.5,308,227,,,,, +92,9,16,1994,10:23, ,1387-79109,RT,I,,385,980,26.8,27.8,223,,,,, +93,9,16,1994,11:20, ,1387-79111,RT,I,,381,1000,25.5,29.8,219,,,,, +94,8,18,1994,12:05, ,1207-64602,RT,A,,416,1390,28.1,31.3,225,,,,, +95,9,18,1994,13:20, ,1207-64603,RT,I,,406,1275,29,33.7,238,,,,, +96,9,19,1994,12:58, ,1207-64604,RT,I,,418,1180,30.1,341.4,235,,,,, +97,9,19,1994,14:05, ,1207-64605,RT,I,,412,1210,29.3,33.8,222,,,,, +98,9,20,1994,9:05, ,2003-58435,SS,A,F,208,168,12.7,14.8,155,,,,, +99,9,20,1994,9:33, ,2003-58436,SS,I,F,208,146,11.8,14.9,160,,,,, +100,9,20,1994,11:04, ,1423-16203,SS,I,M,175,108,10,11.5,137,,,,, +101,9,20,1994,12:10, ,1423-16204,SS,I,M,166,94,9.5,11.3,127,,,,, +102,9,29,1994,13:55, ,1387-79112,RT,I,,405,1085,27.7,29.9,238,,,,, +103,9,20,1994,14:00, ,2003-58437,SS,A,F,198,188,12.2,143,150,,,,, +104,9,29,1994,14:45, ,2003-58438,SS,I,F,200,154,12.4,14.4,150,,,,, +105,9,21,1994,13:50, ,1387-79113,RT,I,,380,810,25.9,28.7,229,,,,, +106,9,23,1994,11:48, ,1387-79114,RT,I,,381,905,27.9,29.1,227,,,,, +107,9,26,1994,10:28, ,872-09612,SS,I,M,169,94,9,10.2,129,,,,, +108,9,26,1994,10:54, ,2206-35417,CH,I,F,260,420,19.6,23.9,220,,,,, +109,9,26,1994,12:10, ,1207-64606,RT,I,,428,1240,29.1,34.7,245,,,,, +110,9,26,1994,14:02, ,1207-64607,RT,I,,400,990,26.9,31.4,223,,,,, +111,9,27,1994,8:00, ,1705-24603,CH,I,F,265,365,16.8,22.5,224,,,,, +112,9,27,1994,11:55, ,1423-16205,SS,I,M,177,91,10.2,11.3,133,,,,, +113,9,27,1994,15:40, ,1307-79115,RT,I,,381,1010,25.8,31.7,210,,,,, +114,9,28,1994,9:25, ,1387-79116,RT,I,,403,980,26.3,29.7,234,,,,, +115,9,28,1994,11:10, ,1387-79117,RT,I,,382,860,26.5,29,219,,,,, +116,9,28,1994,11:38, ,1387-79118,RT,I,,382,970,25.8,29,216,,,,, +117,9,28,1994,13:02, ,1387-79119,RT,I,,399,980,27.5,29.9,230,,,,, +118,9,29,1994,13:55, ,1387-79120,RT,I,,380,985,23.9,29,223,,,,, +119,9,29,1994,13:16, ,1387-79121,RT,I,,375,990,25.6,30.6,220,,,,, +120,9,30,1994,10:39, ,1207-64608,RT,I,,420,1210,27.8,32.6,241,,,,, +121,10,3,1994,11:13, ,872-09613,SS,I,M,170,89,8.6,11,136,,,,, +122,10,3,1994,13:07, ,872-09614,SS,A,M,177,97,10,11.3,137,,,,, +123,10,4,1994,13:37, ,1387-79122,RT,I,,375,990,28,29.5,223,,,,, +124,10,4,1994,14:45, ,1207-64609,RT,I,,395,1170,28.1,31.7,238,,,,, +125,10,5,1994,11:55, ,872-09615,SS,A,M,170,93,10.1,11.2,126,,,,, +126,10,5,1994,13:55, ,1207-64610,RT,I,,406,1350,30.5,32,235,,,,, +127,10,5,1994,15:17, ,1207-64611,RT,I,,414,1370,29.3,33,240,,,,, +128,10,5,1994,16:00, ,872-09616,SS,I,M,173,103,9.7,19.4,137,,,,, +129,10,6,1994,10:45, ,2003-58439,SS,I,F,209,151,12.2,13.9,160,,,,, +130,10,6,1994,11:23, ,872-09617,SS,I,M,177,101,10.3,12.1,140,,,,, +131,10,7,1994,10:50, ,1387-79123,RT,I,,388,985,26.9,29.8,220,,,,, +132,10,7,1994,11:24, ,1387-79124,RT,I,,277,940,26.5,30.4,218,,,,, +133,10,7,1994,12:15, ,1207-64612,RT,I,,423,1310,27.4,34.1,234,,,,, +134,10,7,1994,15:40, ,1387-79125,RT,I,,365,1035,26.1,30.8,232,,,,, +135,10,7,1994,16:35, ,1387-79126,RT,I,,383,965,26.1,31.8,221,,,,, +136,10,10,1994,11:02, ,1387-79127,RT,I,,391,1125,25.4,30.9,220,,,,, +137,10,10,1994,12:01, ,1387-79128,RT,I,,389,975,26.4,30.3,232,,,,, +138,10,10,1994,12:23, ,1387-79129,RT,I,,392,1140,26.2,29.8,214,,,,, +139,10,10,1994,13:10, ,1387-79130,RT,I,,375,950,25.3,29.9,225,,,,, +140,10,10,1994,13:50, ,1207-64613,RT,I,,410,1210,28.1,28.9,238,,,,, +141,10,10,1994,15:07, ,872-09618,SS,I,M,179,95,10.8,11.6,133,,,,, +142,10,11,1994,8:52, ,872-09619,SS,I,M,172,89,9.4,10.8,136,,,,, +143,10,11,1994,12:36, ,2003-58440,SS,A,F,202,195,12.4,14.1,151,,,,, +144,10,12,1994,11:15, ,1423-16206,SS,I,M,174,93,9.5,11,131,,,,, +145,10,13,1994,13:05, ,1207-64614,RT,I,,422,1205,28.8,31.3,238,,,,, +146,10,13,1994,14:00, ,1387-79131,RT,I,,385,1045,27.6,27.5,229,,,,, +147,10,16,1994,12:05, ,1387-79132,RT,I,,363,1090,26.6,28.8,202,,,,, +148,10,16,1994,11:30, ,1207-64615,RT,I,,450,1190,30.3,32.8,226,,,,, +149,10,18,1994,10:00, ,1287-79133,RT,I,,380,960,25.6,30.1,220,,,,, +150,10,18,1994,12:35, ,1387-79134,RT,I,,385,955,26.3,30.1,215,,,,, +151,10,18,1994,13:30, ,1387-79135,RT,I,,385,1110,24.7,30.2,122,,,,, +152,10,19,1994,9:08, ,872-09620,SS,I,M,171,100,19.1,11.5,134,,,,, +153,10,19,1994,10:46, ,1387-79136,RT,I,,380,900,24,26.5,215,,,,, +154,10,19,1994,11:27, ,1387-79137,RT,I,,384,1075,26.5,30.7,208,,,,, +155,10,19,1994,12:15, ,1387-79138,RT,I,,373,980,27.9,32.1,211,,,,, +156,10,19,1994,12:55, ,1387-79139,RT,I,,381,940,27.8,34.2,220,,,,, +157,10,19,1994,13:35, ,1387-79140,RT,I,,363,1070,25.6,30.4,204,,,,, +158,10,19,1994,13:50, ,1387-79141,RT,I,,409,1120,29.4,31.6,229,,,,, +159,10,20,1994,12:00, ,1387-79142,RT,A,,390,1060,27.6,29,205,,,,, +160,10,21,1994,10:12, ,2003-58441,SS,I,F,204,168,12.1,14.3,155,,,,, +161,10,22,1994,14:45, ,1423-16207,SS,I,F,197,211,11.5,13.9,150,,,,, +162,10,23,1994,11:06, ,1387-79143,RT,I,,420,1125,27.2,27.4,244,,,,, +163,10,23,1994,11:36, ,1387-79144,RT,I,,381,1100,27,28.2,225,,,,, +164,10,23,1994,13:09, ,1207-64616,RT,I,,408,1360,30,33.9,239,,,,, +165,10,23,1994,14:25, ,1387079145,RT,I,,388,995,26.7,30.7,222,,,,, +166,10,23,1994,15:00, ,1387-79146,RT,A,,398,1095,21.1,31.4,209,,,,, +167,10,24,1994,9:05, ,1423-16208,SS,I,F,209,196,12.1,14.6,164,,,,, +168,10,25,1994,10:25, ,2003-58442,SS,I,F,209,176,11.7,15.1,159,,,,, +169,10,25,1994,14:00, ,1387-079147,RT,A,,394,1075,25.5,29.7,211,,,,, +170,10,25,1994,14:19, ,1423-11209,SS,A,F,204,180,12.3,15.2,160,,,,, +171,10,26,1994,9.12, ,1423-16210,SS,I,F,204,164,12.3,14.3,157,,,,, +172,10,26,1994,10:29, ,2003-58443,SS,I,F,209,158,12.2,14.4,160,,,,, +173,10,26,1994,11:39, ,1387-79148,RT,I,,394,1140,26.8,29.2,216,,,,, +174,10,26,1994,14:55, ,1207-64617,RT,I,,416,1240,27.9,31.8,250,,,,, +175,10,26,1994,15:40, ,1207-64618,RT,I,,445,1465,29.7,34.6,260,,,,, +176,10,27,1994,9:15, ,2003-58444,SS,I,F,209,169,12.1,14.5,164,,,,, +177,10,27,1994,10:55, ,1387-79149,RT,I,,388,1105,26.7,28.9,217,,,,, +178,10,27,1994,11:50, ,1387-79150,RT,I,,397,1010,27.1,31.4,228,,,,, +179,10,27,1994,12:24, ,1387-79151,RT,I,,384,1075,26.3,30.5,218,,,,, +180,10,27,1994,13:37, ,1387-79152,RT,I,,379,1060,27.9,30.9,220,,,,, +181,10,28,1994,10:05, ,1387-79199,RT,I,,393,1015,27.6,31.1,227,,,,, +182,10,28,1994,10:45, ,1387-79153,RT,I,,386,1100,26,30.2,211,,,,, +183,10,29,1994,11:05, ,1387-79154,RT,I,,397,1010,25,30.6,222,,,,, +184,10,29,1994,11:50, ,1387-79155,RT,I,,382,1000,26.3,30.1,225,,,,, +185,11,1,1994,10:45, ,1387-79156,RT,I,,386,980,25.4,30.2,221,,,,, +186,11,1,1994,11:21, ,1387-79157,RT,I,,417,1240,28.7,32.4,231,,,,, +187,11,2,1994,11:41, ,1387-79158,RT,I,,403,1360,27.9,33.1,235,,,,, +188,11,2,1994,12:26, ,1204-45805,CH,A,M,239,183,17.3,19.2,182,,,,, +189,11,2,1994,12:20, ,1207-64619,RT,I,,401,1405,29.1,82.8,235,,,,, +190,11,2,1994,14:52, ,1387-79159,RT,A,,377,1055,27,29.1,200,,,,, +191,11,6,1994,9:55, ,1207-64620,RT,A,,432,1670,27.1,32.9,216,,,,, +192,11,6,1994,10:30, ,1207-64621,RT,I,,390,1250,26.2,30.5,223,,,,, +193,11,6,1994,11:40, ,1387-79160,RT,I,,381,1030,25.3,29.9,210,,,,, +194,11,7,1994,11:22, ,1387-79161,RT,I,,403,1040,,29.9,229,,,,, +195,11,7,1994,12:47, ,1423-16211,SS,I,F,213,190,12.2,15.5,160,,,,, +196,11,9,1994,9:46, ,872-09621,SS,I,M,172,105,10,10.8,125,,,,, +197,11,9,1994,15:02, ,1807-53101,RT,I,,390,1090,26.2,28.8,226,,,,, +198,11,11,1994,10:00, ,1423-16212,SS,I,F,204,190,11.8,13.9,154,,,,, +199,11,11,1994,11:59, ,1387-79162,RT,A,,386,1050,28.4,29.4,207,,,,, +200,11,11,1994,14:42, ,1387-79163,RT,I,,402,1110,26.1,30,238,,,,, +201,11,11,1994,15:01, ,1423-16213,SS,I,F,201,206,12.1,13.5,151,,,,, +202,11,11,1994,15:23, ,1423-16214,SS,I,F,202,195,12.1,14.8,158,,,,, +203,11,15,1994,11:40, ,1387-79164,RT,A,,374,1010,24.9,30.1,197,,,,, +204,11,16,1994,11:15, ,1807-53103,RT,I,,358,880,24.2,28.7,250,,,,, +205,11,16,1994,12:19, ,1387-79165,RT,I,,370,1060,24.3,29.8,215,,,,, +206,11,21,1994,10:40, ,1387-79166,RT,I,,390,920,25.7,30,214,,,,, +207,11,21,1994,13:33, ,1387-79167,RT,I,,398,1195,26.2,29.8,230,,,,, +208,9,8,1995,13:30, ,1387-170,RT,I,,360,890,26,28.4,213,,,,, +209,9,8,1995,14:20, ,1387-79171,RT,I,,355,900,25.3,29,214,,,,, +210,9,13,1995,14:30, ,1207-64623,RT,A,,375,1110,22.2,31.5,224,,,,, +211,9,13,1995,14:45, ,2003-59463,SS,I,F,200,160,10.2,13.2,153,,,,, +212,9,14,1995,10:05, ,972-09622,SS,I,M,179,105,10.1,11.3,131,,,,, +213,9,15,1995,9:40, ,2003-58464,SS,I,M,175,99,9.6,12.7,145,,,,, +214,9,15,1995,9:50, ,2003-58465,SS,I,F,203,165,12,14.4,165,,,,, +215,9,15,1995,11:05, ,2003-58466,SS,I,F,205,100,12,12.5,168,,,,, +216,9,17,1995,11:20, ,1343-78401,SS,I,F,213,125,11.5,14.4,156,,,,, +217,9,17,1995,12:15, ,1387-79173,RT,I,,409,1100,29,32.6,215,,,,, +218,9,17,1995,14:58, ,1343-78402,SS,I,F,202,,,,164,,,,, +219,9,18,1995,14:20, ,1343-78403,SS,I,F,195,155,11.9,14.6,155,,,,, +220,9,18,1995,15:10, ,1207-64624,RT,I,,415,1285,29.5,31.8,239,,,,, +221,9,19,1995,10:05, ,1204-45806,CH,A,M,236,390,15.1,20.4,185,,,,, +222,9,20,1995,10:50, ,1387-79174,RT,I,,363,920,26.8,30.2,214,,,,, +223,9,23,1995,10:10, ,1387-79175,RT,I,,381,1025,25.4,30.8,232,,,,, +224,9,26,1995,11:05, ,1387-79176,RT,A,,350,940,26,29.1,205,,,,, +225,9,26,1995,13:03, ,1387-79177,RT,I,,398,1240,28.5,30.8,243,,,,, +226,9,26,1995,12:55, ,1207-64625,RT,I,,412,1160,27.8,33,255,,,,, +227,9,26,1995,13:55, ,2003-58467,SS,I,F,203,150,11.5,13.9,159,,,,, +228,9,27,1995,9:40, ,2003-58468,SS,I,F,201,130,11.7,14.4,156,,,,, +229,9,27,1995,12:50, ,1387-79178,RT,I,,411,1240,26.8,32.7,276,,,,, +230,9,27,1995,13:55, ,1807-53104,RT,I,,373,930,24.4,27.4,210,,,,, +231,10,1,1995,10:15, ,1423-16221,SS,I,M,178,90,10.9,12.1,145,,,,, +232,10,1,1995,12:04, ,1207-64626,RT,I,,415,1240,25.6,31.2,231,,,,, +233,10,1,1995,12:50, ,1387-79179,RT,I,,383,1030,25.2,29.8,216,,,,, +234,10,2,1995,13:55, ,1705-24606,CH,I,M,223,550,18.8,21.3,210,,,,, +235,10,3,1995,11:20, ,1387-79180,RT,I,,390,1250,26.5,32,210,,,,, +236,10,3,1995,11:45, ,1387-79181,RT,I,,390,999,25.3,29.8,220,,,,, +237,10,4,1995,12:20, ,1387-79182,RT,A,,365,1120,26.5,30.8,260,,,,, +238,10,4,1995,12:54, ,1387-79183,RT,A,,345,1000,26.4,30.1,200,,,,, +239,10,5,1995,11:08, ,1705-24607,CH,I,F,273,530,19.2,24.7,213,,,,, +240,10,6,1995,12:15, ,1207-64627,RT,I,,400,1040,27.7,32.1,230,,,,, +241,10,6,1995,12:36, ,1207-64628,RT,I,,380,1150,27.8,31.1,220,,,,, +242,10,6,1995,13:05, ,1207-79184,RT,I,,330,1000,25.9,30.2,220,,,,, +243,10,6,1995,13:10, ,1207-64629,RT,I,,410,1360,33.3,28.6,235,,,,, +244,10,7,1995,12:00, ,1387-79185,RT,I,,313,930,25.7,28.9,215,,,,, +245,10,9,1995,11:35, ,1387-79186,RT,I,,384,980,25.8,30.4,215,,,,, +246,10,9,1995,11:50, ,1207-64660,RT,I,,409,1260,27.7,31.8,221,,,,, +247,10,9,1995,12:50, ,1387-79187,RT,I,,390,900,27.5,28.6,225,,,,, +248,10,10,1995,11:50, ,1207-64630,RT,I,,411,1300,25.9,31.9,238,,,,, +249,10,10,1995,14:25, ,1705-24608,CH,I,F,259,470,16.6,23.4,221,,,,, +250,10,11,1995,14:25, ,1387-79188,RT,A,,380,1040,26.4,30.9,212,,,,, +251,10,11,1995,14:25, ,1387-79189,RT,I,,370,950,27.3,30.5,215,,,,, +252,10,11,1995,13:15, ,1387-79190,RT,I,,415,1320,29.4,33.9,235,,,,, +253,10,12,1995,10:37, ,1204-45807,SS,I,F,215,180,14.1,12.7,132,,,,, +254,10,12,1995,13:20, ,1387-79191,RT,I,,410,1280,27.9,32.7,229,,,,, +255,10,12,1995,14:20, ,1387-79192,RT,I,,412,1310,26.1,31.1,251,,,,, +256,10,12,1995,14:30, ,1207-64631,RT,A,,384,910,26.4,28.4,215,,,,, +257,10,13,1995,12:05, ,1207-64632,RT,I,,404,1220,28.6,30.4,225,,,,, +258,10,13,1995,13:00, ,1387-79193,RT,I,,375,920,23.8,28.8,210,,,,, +259,10,13,1995,15:00, ,1387-79794,RT,I,,410,1135,26.4,32.4,267,,,,, +260,10,14,1995,10:05, ,1387-79195,RT,I,,384,940,26.2,29.8,220,,,,, +261,10,14,1995,13:25, ,1207-64634,RT,I,,385,920,25,32.2,238,,,,, +262,10,14,1995,13:40, ,1387-79196,RT,I,,398,1280,28,32.4,248,,,,, +263,10,15,1995,14:20, , ,CH,A,,,480,17.7,32.1,198,,,,, +264,10,15,1995,14:30, ,1387-79197,RT,I,,425,1220,27.3,33,241,,,,, +265,10,15,1995,15:00, ,1397-79198,RT,I,,401,1000,26.7,28,212,,,,, +266,10,16,1995,12:35, ,1387-79172,RT,I,,387,1120,26.8,50.2,221,,,,, +267,10,16,1995,13:33, ,1807-53105,RT,I,,376,925,26,30.8,233,,,,, +268,10,17,1995,11:10, ,1423-16223,SS,A,M,171,90,9.9,11.9,138,,,,, +269,10,17,1995,11:45, ,1207-64635,RT,A,,420,1280,27.5,31.8,230,,,,, +270,10,18,1995,12:20, ,877-76379,RT,I,,385,985,27.5,30.8,223,,,,, +271,10,18,1995,13:05, ,2107-64631,RT,I,,405,1350,28.3,32.6,226,,,,, +272,10,18,1995,13:15, ,1807-53107,RT,I,,350,730,24.6,25.7,208,,,,, +273,10,18,1995,12:00, ,1387-79200,RT,I,,388,890,27.8,31.2,231,,,,, +274,10,18,1995,12:02, ,877-76380,RT,I,,398,1020,26.5,31.1,217,,,,, +275,10,20,1995,10:10, ,1207-64637,RT,A,,410,1000,27.1,30.6,230,,,,, +276,10,23,1995,10:30, ,2003-58469,SS,I,F,202,150,11.7,14.1,153,,,,, +277,10,23,1995,12:20, ,1343-78405,SS,I,F,204,180,11.5,12.4,186,,,,, +278,11,2,1995,12:05, ,8777-63481,RT,A,,382,1020,26.5,29.4,225,,,,, +279,11,2,1995,13:00, ,1207-64638,RT,I,,111,1340,26.85,31.9,226,,,,, +280,11,20,1995,14:10, ,1207-64639,RT,I,,396,1300,27.3,30.5,214,,,,, +281,11,21,1995,11:45, ,8777-6382,RT,I,,363,1015,25.5,30.1,242,,,,, +282,10,2,1996,9:47, ,1807-53108,RT,I,,360,900,30.5,28.8,220,,,,, +283,10,10,1996,10:45, ,1207-64640,RT,I,,390,1000,26.1,29.6,250,,,,, +284,10,10,1996,11:07, ,1204-45808,SS,I,M,195,150,12.3,14.6,178,,,,, +285,10,10,1996,12:15, ,1207-64641,RT,A,,390,1050,24.8,32.5,220,,,,, +286,10,10,1996,13:20, ,1207-64642,RT,I,,380,950,24.9,29,240,,,,, +287,10,14,1996,9:40, ,1705-24609,CH,I,M,225,350,12.6,26,215,,,,, +288,10,17,1996,13:05, ,1705-24610,CH,A,M,247,375,16.9,18.2,160,,,,, +289,10,18,1996,10:58, ,1207-64643,RT,A,,415,1175,28.3,33.2,230,,,,, +290,10,23,1996,9:25, ,1387-92101,RT,I,,354,980,25.8,29.3,220,,,,, +291,10,24,1996,10:35, ,1387-92102,RT,A,,417,1260,29,32.8,234,,,,, +292,10,24,1996,11:18, ,1387-92103,RT,I,,379,1050,25.9,31.3,226,,,,, +293,10,25,1996,10:40, ,1207-64644,RT,A,,412,1330,29.2,32.2,218,,,,, +294,10,27,1996,16:16, ,1387-92104,RT,A,,377,980,28,29.1,209,,,,, +295,10,28,1996,12:40, ,1387-92105,RT,I,,372,920,25.3,30,228,,,,, +296,10,30,1996,9:25, , ,RT,I,,420,1540,29.9,35.5,235,,,,, +297,10,30,1996,11:30, ,1387-92106,RT,I,,368,1060,25.5,26.9,223,,,,, +298,11,1,1996,14:05, ,1207-64645,RT,I,,406,1420,29.9,32,245,,,,, +299,11,7,1996,13:20, ,1705-24611,CH,I,M,225,400,15,20,202,,,,, +300,9,9,1997,12:01, ,1387-92125,RT,I,,392,1142,27.2,33,235,244,89.3,0,1,0 +301,9,9,1997,13:06,13:26,2003-58576,SS,I,F,191,157,12,13.8,158,162,57,2,2,0 +302,9,10,1997,10:39,10:53,1423-16276,SS,I,M,161,98,10.3,11.7,133,137,48.4,1,2,0.25 +303,9,10,1997,14:35,14:50,1387-92127,RT,I,,365,813,26.2,30.1,221,224,86.6,0,0,0 +304,9,11,1997,10:05,10:32,1423-16277,SS,I,M,156,94,9.9,11.4,125,129,48.6,1,2,0.25 +305,9,12,1997,11:00,10:20,2003-58577,SS,I,F,191,155,16.5,14.4,158,161,54.3,0,1,0 +306,9,14,1997,10:46,11:00,2003-58578,SS,I,F,198,181,12.5,14.1,159,164,56,2,2,0 +307,9,14,1997,12:35,12:50,872-09631,SS,I,M,160,92,9.8,11,132,135,48.3,2,1,0 +308,9,17,1997,12:26,13:10,872-09633,SS,I,M,164,98,10.1,11.4,136,138,50.5,2,1,0 +309,9,17,1997,13:04,13:45,1387-92128,RT,I,,352,1024,26.6,30.3,216,225,90.2,0,0,0 +310,9,17,1997,15:02,14:07,1705-24626,CH,I,F,265,464,19.2,24.1,225,229,73.3,0,0,0 +311,9,18,1997,11:16,11:28,872-09634,SS,I,M,163,100,10.4,11.2,137,139,44.5,1,1,0.25 +312,9,18,1997,14:33,14:45,1423-16228,SS,I,F,193,186,12.8,14,155,159,57.6,3,2,0.25 +313,9,19,1997,13:05,13:36,1423-16229,SS,I,F,190,164,11.9,14.5,155,160,57.5,2,1,0 +314,9,20,1997,10:30,10:42,972-04635,SS,I,M,165,98,10.1,11.4,138,142,50.2,0,1,0 +315,9,21,1997,10:56,11:22,972-09636,SS,I,M,162,,,,130,,,2,1,0.25 +316,9,21,1997,11:42,11:50,1426-16230,SS,A,F,198,158,12.1,14.5,154,160,55,0,1,0 +317,9,21,1997,11:55,12:07,1387-92129,RT,I,,370,1023,25.8,30.1,216,228,82.8,1,0,0.25 +318,9,23,1997,13:35,11:55,1202-72601,RT,I,,230,340,16.5,30.5,200,225,85.5,0,0,0.25 +319,9,23,1997,11:43,12:09,1705-24627,CH,I,M,194,163,12.2,20,158,206,67.5,2,1,0 +320,9,23,1997,12:00,12:24,1423-16231,SS,I,F,157,92,9.8,14.7,132,160,55,1,1,0 +321,9,23,1997,12:13,10:50,872-09638,SS,I,M,260,550,19.5,11.2,215,136,49.8,1,0,0 +322,9,24,1997,10:19, ,1705-24628,CH,A,F,377,1119,25.4,23.9,226,224,24.7,1,1,1 +323,9,24,1997,11:20, ,1387-92130,RT,I,,364,917,26,29.6,216,225,85.1,0,0,0 +324,9,25,1997,10:45, ,1387-92131,RT,I,,367,946,26.7,28.9,221,232,88.9,0,1,0 +325,9,25,1997,11:00, ,1387-92132,RT,I,,233,337,15.7,31.9,196,225,87.4,0,0,0.5 +326,9,25,1997,12:05, ,1204-45809,CH,I,M,336,742,23.4,18.8,221,205,67.2,0,0,0 +327,9,26,1997,10:10, ,1423-16233,SS,I,F,259,439,18.8,15.2,218,171,57,0,0,0 +328,9,26,1997,10:59, ,1705-24629,CH,I,F,199,187,12.2,24.2,157,221,74.4,1,1,0.5 +329,9,26,1997,13:35,13:52,1423-16232,SS,I,F,165,92,9.7,14.6,135,162,56.5,2,1,0 +330,9,26,1997,13:36,14:40,872-09639,SS,I,M,370,1094,27.3,11.5,221,139,47.7,1,0,0 +331,9,26,1997,14:26, ,1387-92133,RT,I,,362,832,23.8,32.6,210,230,87.1,0,1,0 +332,9,30,1997,12:10, ,1207-72602,RT,A,,368,1244,,,220,,,,, +333,9,30,1997,12:50, ,1387-92134,RT,I,,368,1244,26.7,30.2,220,228,85.4,1,1,0 +334,10,1,1997,10:50,11:00,1387-92135,RT,I,,367,974,25.2,29.6,221,240,85.2,0,0,0 +335,10,1,1997,11:58,12:27,1387-92136,RT,I,,400,1289,28.6,32.1,242,261,86.9,0,0,0 +336,10,1,1997,12:25,12:41,1387-92137,RT,I,,379,999,28.3,32,220,238,90.1,0,1,0 +337,10,1,1997,12:32,12:59,1387-92138,RT,I,,360,994,26.5,30.4,210,232,84.8,0,1,0 +338,10,1,1997,12:57,13:14,1387-92139,RT,I,,362,1004,27,31.4,221,240,86.8,0,1,0 +339,10,2,1997,11:52,12:05,1387-92140,RT,I,,378,1097,28.9,33.4,236,244,91.3,0,1,0 +340,10,2,1997,13:17,13:32,1423-16234,SS,I,F,201,185,13.1,14.5,162,167,58.1,1,1,0 +341,10,6,1997,12:01,12:21,1423-16235,SS,I,M,193,181,12.8,11.5,150,152,52.4,0,0,0 +342,10,6,1997,14:08,14:37,1387-92141,RT,I,,372,1092,27.2,31.8,235,239,85.2,0,1,0 +343,10,8,1997,10:00,10:25,1387-92142,RT,I,,369,1049,30.1,32,231,240,84.9,0,0,0 +344,10,8,1997,11:52,12:13,1387-92143,RT,I,,354,998,27.2,29.2,227,234,81.7,1,1,0 +345,10,9,1997,9:57,11:07,1387-92144,RT,I,,367,1091,31.8,34.2,238,249,91.7,0,0,0 +346,10,9,1997,13:00,13:32,1387-92145,RT,I,,349,987,29,31.1,225,237,89,0,0,0 +347,10,9,1997,13:27,13:57,1387-92146,RT,I,,375,1151,34.1,33.7,249,250,94,1,1,0.25 +348,10,9,1997,14:27,14:50,1387-92147,RT,I,,343,971,25.1,26.1,213,224,79.3,0,0,0 +349,10,9,1997,14:58,15:15,1387-92148,RT,I,,360,1159,32.9,34,240,252,91.2,1,1,0 +350,10,10,1997,11:45,12:00,1387-92149,RT,I,,395,1239,26.7,33.2,231,243,90.3,0,2,0 +351,10,10,1997,11:55,12:08,1397-92150,RT,I,,400,1216,28.5,32.1,227,239,84.4,0,2,0 +352,10,10,1997,12:10,12:30,1423-16236,SS,A,F,170,177,12.3,14.4,155,165,54.6,3,2,0 +353,10,13,1997,14:21,14:45,1705-24630,CH,I,F,268,469,20,24.9,227,232,75.3,1,1,0 +354,10,14,1997,11:52,12:05,1387-92151,RT,I,,369,1039,26.9,29.5,223,245,87.4,1,2,0 +355,10,14,1997,14:15,14:30,1387-92152,RT,I,,365,1079,25.2,30,228,239,86.2,0,0,0 +356,10,16,1997,13:05,13:25,1387-92153,RT,A,,375,1159,33.8,32.7,242,252,91,1,0,0 +357,10,17,1997,10:00, ,1423-16238,SS,I,M,230,162,12.3,13.8,149,153,52.5,0,0,0 +358,10,17,1997,14:35,15:00,12044-5876,CH,A,M,213,339,23.5,13.8,184,181,71.2,0,1,0 +359,10,20,1997,11:21,11:35,1387-92154,RT,A,,382,1403,34.9,34.7,247,259,92.5,0,1,1 +360,10,20,1997,12:34,12:50,1423-16239,SS,I,M,168,175,12.9,14,158,167,55.9,2,2,0 +361,10,20,1997,12:49,13:05,1387-92155,RT,A,,478,1473,39.2,44.7,267,272,,2,2,0.5 +362,10,20,1997,13:05,13:20,1387-92157,RT,I,,469,1001,29.9,43.2,257,269,,1,0,0 +363,10,21,1997,12:16,12:33,1423-16278,SS,I,M,172,98,8.7,10.9,148,148,53.4,1,0,0 +364,10,21,1997,13:47,14:10,1387-92156,RT,I,,373,914,25.9,30.4,221,251,93.7,1,1,0.5 +365,10,23,1997,12:10,12:36,1387-92158,RT,A,,386,1059,25.5,30.5,214,227,92.5,,1,0.5 +366,10,23,1997,14:36,15:03,1207-72603,RT,I,,384,1147,29,35,229,236,91.9,,, +367,10,31,1997,11:00,11:47,1807-53127,RT,I,,351,949,26.8,29.7,213,216,,0,0,0 +368,10,31,1997,11:50,12:14,872-09640,SS,I,M,168,102,9.6,11.9,138,136,50,2,1,0 +369,11,1,1997,12:21,12:34,1807-53128,RT,I,,363,973,24.8,27.3,213,220,84.1,0,1,0.75 +370,11,1,1997,14:22,14:34,1423-16240,SS,I,F,199,196,12.4,15.2,158,163,56.5,2,2, +371,11,3,1997,11:30,12:01,12044-5877,CH,I,M,235,327,16.5,20.3,193,196,69.2,1,1,0 +372,11,3,1997,12:15, ,1387-92159,RT,A,,374,1064,26,32.1,201,210,85.2,1,1,0.5 +373,11,3,1997,12:52, ,1807-53129,RT,I,,369,749,24,26.8,216,224,60.1,0,0,0 +374,11,6,1997,11:22,11:41,1343-78476,SS,I,F,202,201,11.7,14.9,165,166,56.8,3,2,0 +375,11,7,1997,11:26,11:46,1423-16241,SS,I,F,202,180,12.4,14.1,160,164,55.3,2,2,0 +376,11,10,1997,12:30,12:49,1387-92160,RT,I,,374,1213,24.9,28,244,218,87.9,1,2,0 +377,11,11,1997,11:10,11:35,1387-92161,RT,I,,389,1200,28.2,30.8,230,240,81.7,2,1,0 +378,11,15,1997,12:54,13:08,1387-92162,RT,I,,379,1040,25.3,29.4,227,234,80.8,1,0,0 +379,11,18,1997,11:25, ,872-09641,SS,I,M,170,113,10.6,11.1,139,141,54,0,1,0 +380,9,20,1998,14:45, ,1387-92166,RT,I,,373,919,24.2,28.5,233,,,,, +381,9,21,1998,11:45, ,1207-72604,RT,I,,403,1487,26,32.5,240,,,,, +382,10,1,1998,10:42, ,1207-72606,RT,I,,400,1254,25.2,30,237,,,,, +383,10,8,1998,9:45, ,2003-58581,SS,A,F,205,156,10.8,14.1,144,,,,, +384,10,8,1998,10:45, ,1207-72607,RT,I,,405,1189,27.7,31.3,210,,,,, +385,10,8,1998,14:10, ,1387-92173,RT,I,,382,979,24.8,27.9,225,,,,, +386,10,9,1998,11:15, ,1142-19209,SS,A,M,165,96,10.7,11.4,125,,,,, +387,10,9,1998,12:10, ,1387-92174,RT,I,,407,1339,27.3,33.4,246,,,,, +388,10,9,1998,12:25, ,1387-92175,RT,I,,403,1199,28.8,31,225,,,,, +389,10,10,1998,11:00, ,1207-72608,RT,I,,406,1344,27.9,33.1,230,,,,, +390,10,10,1998,12:05, ,1387-92196,RT,I,,381,969,26.1,31.1,220,,,,, +391,10,12,1998,10:15, ,1387-92177,RT,I,,395,1039,26,29.7,230,,,,, +392,10,12,1998,11:45, ,1207-72609,RT,I,,410,1054,28.5,31.5,233,,,,, +393,10,12,1998,14:30, ,1204-45878,CH,A,F,243,334,17.5,19.2,196,,,,, +394,10,14,1998,13:30, ,1423-16242,SS,I,M,170,101,9.8,11,135,,,,, +395,10,15,1998,14:35, ,1343-78477,SS,A,F,210,181,12.2,15,170,,,,, +396,10,21,1998,10:40, ,1207-72610,RT,A,,425,1449,30.3,33,232,,,,, +397,10,22,1998,14:01, ,1387-92178,RT,I,,402,985,26.6,29.8,234,,,,, +398,10,26,1998,10:17, ,1387-92180,RT,A,,480,1598,34.2,35.4,239,,,,, +399,10,26,1998,12:15, ,1387-92181,RT,I,,412,992,30.1,31.5,230,,,,, +400,10,29,1998,10:25, ,1705-24634,CH,I,F,260,569,19.1,24,227,,,,, +401,11,2,1998,11:55, ,1207-72611,RT,A,,381,1354,28.2,32,213,,,,, +402,11,3,1998,14:53, ,1207-72612,RT,A,,392,969,25.9,29,207,,,,, +403,11,4,1998,10:35, ,9387-92182,RT,I,,382,1080,25.3,31,214,,,,, +404,11,4,1998,12:10, ,1343-78478,SS,A,F,196,185,12.5,14,146,,,,, +405,11,9,1998,1:31, ,1387-92183,RT,A,,391,1097,27.9,32.8,217,,,,, +406,11,11,1998,11:48, ,1207-72613,RT,A,,397,1439,28.8,31.4,216,,,,, +407,11,11,1998,12:52, ,1807-53130,RT,I,,361,,24.4,27.9,214,,,,, +408,11,11,1998,14:15, ,1387-92184,RT,I,,376,1019,25.8,29.5,216,,,,, +409,11,12,1998,14:00, ,1207-726114,RT,A,,410,1239,29.5,31.8,222,,,,, +410,11,18,1998,11:30, ,1207-72615,RT,I,,381,1399,27.6,31.3,288,,,,, +411,11,19,1998,13:07, ,1387-92185,RT,I,,396,1169,27.5,25.2,238,,,,, +412,11,20,1998,10:30, ,1387-92186,RT,I,,383,1164,27,29.9,199,,,,, +413,11,20,1998,11:52, ,1343-78479,SS,I,F,203,176,11.5,14.7,161,,,,, +414,9,5,1999,11:35, ,1387-92187,RT,I,,271,,27.4,33,235,236,,,2,0 +415,9,7,1999,11:00, ,1205-24636,CH,I,F,255,429,19,22.9,208,216,,,, +416,9,10,1999,11:05, ,1423-16243,SS,I,F,196,160,12.3,14.7,137,136,,,4,1 +417,9,13,1999,10:15, ,872-09646,SS,I,M,168,105,10.2,11,143,139,,,2,0 +418,9,14,1999,15:30, ,1387-92188,RT,I,,392,890,24.1,29.2,219,200,,,0,1 +419,9,16,1999,12:08, ,1142-19210,SS,I,M,163,100,9.7,11.6,128,115,,,2,1 +420,9,18,1999,11:10, ,2003-99306,SS,I,F,205,,13.7,15,161,164,,,, +421,9,18,1999,12:08, ,1207-72616,RT,I,,395,1215,28.3,33,236,240,,,2,1 +422,9,18,1999,15:08, ,1142-19211,SS,I,M,163,100,9.9,11.3,131,137,,,3,3 +423,9,18,1999,15:45, ,1387-92189,RT,I,,370,1030,27.6,31.4,225,227,,,2,0 +424,9,20,1999,10:17, ,1204-45867,CH,A,M,225,340,15.7,19.4,190,198,,,2,1 +425,9,21,1999,12:12, ,1213-58901,SS,I,F,197,165,11.9,9.6,150,152,,,1,0 +426,9,21,1999,13:00, ,1387-92190,RT,I,,376,985,26.4,30.3,223,219,,,1,0 +427,9,22,1999,10:55, ,1387-92191,RT,I,,372,975,26.5,31.6,225,220,,,1,0.5 +428,9,23,1999,11:11, ,1207-72617,RT,I,,391,1165,28.2,32.4,241,241,,,1,1 +429,9,24,1999,12:30, ,1142-19212,SS,I,,165,95,9.7,11.2,136,138,,,1,1 +430,9,24,1999,14:24, ,1387-92192,RT,I,,364,1044,23.5,29,210,222,,,1,1 +431,9,25,1999,11:35, ,2003-99307,SS,A,F,202,180,12.9,15,160,158,,,3,0 +432,9,25,1999,12:00, ,1142-19213,SS,I,M,163,125,9.7,10.9,135,131,,,2,1 +433,9,25,1999,12:35, ,1387-92193,RT,I,M,381,1080,,32.3,223,216,,,, +434,9,25,1999,14:10, ,1387-92194,RT,I,,375,890,24.6,28,219,216,,,, +435,9,26,1999,12:55, ,1387-92195,RT,I,,392,1105,26.4,33.6,229,225,,,, +436,9,29,1999,13:08, ,1207-72618,RT,A,,398,1310,28.3,35.2,211,217,,,2,0 +437,9,30,1999,9:20, ,1387-19197,RT,I,,371,895,26.8,31,204,206,,,1,0 +438,9,30,1999,12:31, ,1387-19298,RT,A,,367,1060,26.8,31,204,206,,,3,1 +439,9,30,1999,13:10, ,2003-99308,SS,A,F,193,165,13.2,14.6,146,156,,,1,0 +440,10,2,1999,10:25, ,1387-19299,RT,A,,375,960,28.9,29.3,214,202,,,, +441,10,4,1999,13:21, ,1387-19220,RT,I,,408,1270,29.4,33,236,231,,,1,1 +442,10,4,1999,15:10, ,22-06-35428,CH,A,F,252,540,20,28.8,185,211,,,1,1 +443,10,5,1999,9:38, ,1204-45868,CH,A,M,237,365,17.3,19.9,195,191,,,3, +444,10,5,1999,10:43, ,1177-04601,RT,I,,399,1170,28.3,29.9,247,236,,,0,3 +445,10,6,1999,9:45, ,1705-24637,CH,A,F,268,590,20,19.9,215,206,,,2,0.5 +446,10,7,1999,12:40, ,1207-72619,RT,I,,388,1225,29,31.5,227,219,,,3,0 +447,10,8,1999,13:39, ,2003-99309,SS,A,F,200,175,12.3,15.6,155,152,,,3,0.5 +448,10,11,1999,11:13, ,2003-99310,SS,I,F,192,170,12.4,15.5,159,150,,,4,0.5 +449,10,11,1999,13:11, ,1142-19214,SS,A,M,167,100,10,11.3,132,131,,,4,0.25 +450,10,11,1999,15:00, ,1177-04699,RT,I,,370,1060,26.6,31.9,225,220,,,2,0 +451,10,11,1999,15:00, ,1142-19215,SS,A,M,162,110,10,11.8,130,131,,,3,1 +452,10,12,1999,11:05, ,1177-04602,RT,I,,363,850,25.5,30,220,216,,,0,0 +453,10,12,1999,11:20, ,1177-04603,RT,I,,371,1145,25.5,10.3,215,214,,,2,1 +454,10,13,1999,9:01, ,2003-99311,SS,A,F,199,165,12.5,15.7,161,155,,,4,1 +455,10,14,1999,9:23, ,1177-04604,RT,I,,386,1090,26.1,28.2,226,225,,,2,0.5 +456,10,14,1999,9:52, ,1207-72620,RT,I,,400,1345,32.6,33.9,227,233,,,3,0.25 +457,10,14,1999,13:15, ,1177-04605,RT,I,,390,1050,26.6,29,236,232,,,1,1 +458,10,14,1999,13:49, ,2003-99312,SS,A,F,199,200,12.5,14.9,169,156,,,3,1 +459,10,14,1999,14:45, ,1705-24639,CH,A,F,254,505,19.6,24,212,209,,,3,0.25 +460,10,15,1999,10:08, ,1177-14606,RT,A,,382,1040,27.1,30.8,210,203,,,1,0 +461,10,15,1999,10:50, ,803-05929,SS,A,F,196,155,12.7,14.3,164,154,,,4,0 +462,10,15,1999,11:29, ,1177-04607,RT,I,,354,965,26.2,28.5,226,222,,,2,0 +463,10,15,1999,12:27, ,1177-04608,RT,I,,403,1105,28.9,33.2,242,236,,,1,0 +464,10,15,1999,13:35, ,2003-99313,SS,I,F,194,155,12.6,13.7,153,149,,,0,4 +465,10,15,1999,14:08, ,1177-04609,RT,I,,375,1045,27.2,30,221,214,,,2,1 +466,10,15,1999,14:39, ,1807-53131,RT,I,,369,900,24.4,27.3,220,212,,,2,0 +467,10,15,1999,15:33, ,1177-04610,RT,I,,368,1015,25.7,30.3,219,216,,,2,0 +468,10,16,1999,13:05, ,1177-04611,RT,A,,393,1385,27.9,32.6,225,222,,,2,0 +469,10,20,1999,11:28, ,1177-04612,RT,I,,370,1165,26,31.5,221,212,,,2,0.25 +470,10,20,1999,13:07, ,1177-04613,RT,I,,378,905,28,32.3,215,216,,,0,0 +471,10,21,1999,11:50, ,1177-04614,RT,I,,369,985,26,31.1,223,228,,,2,0 +472,10,21,1999,13:56, ,1807-53132,RT,I,,364,800,25.5,28.6,219,211,,,2,0 +473,10,22,1999,9:40, ,1177-06415,RT,I,,387,995,26.9,31.4,235,226,,,2,0 +474,10,23,1999,10:40, ,1207-72621,RT,A,,410,1460,29.4,33.6,216,221,,,2,1 +475,10,23,1999,11:39, ,2003-99314,SS,I,F,194,165,11.9,14.1,151,158,,,3,0 +476,10,25,1999,14:00, ,1207-72622,RT,A,,410,1585,30.6,39.8,130,251,,,3,0 +477,10,27,1999,11:48, ,803-05930,SS,A,F,194,185,13.1,15.5,154,163,,,1,0 +478,10,27,1999,12:55, ,1177-04616,RT,I,,373,920,25,28.3,223,226,,,2,0 +479,11,1,1999,12:55, ,1207-72623,RT,I,,390,1460,29.3,35.6,221,234,,,1,0.5 +480,11,2,1999,10:00, ,1207-72624,RT,A,,404,1315,30,32.5,220,245,,,1,0 +481,11,2,1999,11:35, ,1177-04617,RT,I,,375,1019,26,29.9,186,205,,,0,1 +482,11,3,1999,10:27, ,1207-72625,RT,I,,395,1215,29.7,31.3,217,223,,,2,0 +483,11,3,1999,14:30, ,1177-04618,RT,I,,379,1005,27.8,31.4,209,224,,,1,0 +484,11,4,1999,12:15, ,1207-72626,RT,I,,382,1350,27.9,29.9,215,217,,,2,0 +485,11,4,1999,14:00, ,1207-72627,RT,I,,404,1145,27.7,31.8,214,226,,,1,0 +486,11,5,1999,10:48, ,2003-99315,SS,A,F,205,175,12.25,15.5,169,164,,,4,0 +487,11,5,1999,14:10, ,1177-04619,RT,A,,377,1010,25.4,29,207,214,,,0,0.5 +488,11,6,1999,11:54, ,2003-99316,SS,I,M,184,155,12,14.9,153,157,,,3,0 +489,11,8,1999,12:25, ,1177-04620,RT,I,,390,1120,26.6,30,210,225,,,1,0.5 +490,11,9,1999,10:25, ,1177-14621,RT,A,,404,280,28.2,31.55,224,226,,,3,0 +491,11,10,1999,10:15, ,1177-04622,RT,I,,351,775,25.4,29.3,200,215,,,1,0 +492,11,10,1999,12:45, ,1207-72628,RT,I,,394,1210,29.4,31.7,207,227,,,2,0 +493,11,10,1999,1:15, ,1142-19227,SS,A,M,175,107,10,11.4,137,146,,,1,0 +494,11,12,1999,13:50, ,1807-53133,RT,A,,372,909,24.4,25.4,212,216,,,2,0.25 +495,11,13,1999,10:30, ,1142-19228,SS,I,M,169,95,10,11.85,132,144,,,2,0 +496,11,13,1999,11:30, ,1177-04623,RT,I,,376,1145,25.1,31.55,226,234,,,2,0.75 +497,11,13,1999,12:05, ,1177-04624,RT,I,,399,1150,27.2,29.55,232,243,,,2,0 +498,11,17,1999,13:11, ,1207-72629,RT,I,,399,1560,30,33.85,228,232,,,3,1 +499,11,19,1999,9:58, ,1177-04625,RT,I,,357,940,23.6,28.35,205,212,,,3,0 +500,9,7,2000,10:30, ,2003-94317,SS,I,F,195,145,11.7,14.6,155,160,,,4,0 +501,9,7,2000,13:25, ,1207-22630,RT,I,,400,1089,27.3,33.1,228,238,,,1,0.5 +502,9,9,2000,9:29, ,1207-72631,RT,I,,382,1194,29.4,33.8,237,234,,,1,0 +503,9,9,2000,9:38, ,1142-18229,SS,I,M,161,95,10.1,11.3,135,129,,,4,0 +504,9,13,2000,9:35, ,1177-04626,RT,I,,390,1015,28,30.1,230,220,,,2,0 +505,9,13,2000,10:35, ,1177-04627,RT,I,,379,975,24.1,29.1,219,227,,,2,0 +506,9,13,2000,11:35, ,1177-04628,RT,I,,376,1035,26.8,30.5,223,234,,,2,5 +507,9,13,2000,12:10, ,1177-04629,RT,A,,331,1055,27,30.4,210,223,,,2,1 +508,9,13,2000,14:02, ,1177-04630,RT,I,,371,945,26.1,30.2,222,226,,,1,0 +509,9,14,2000,11:34, ,1213-58902,SS,I,M,160,90,11,11.8,124,129,,,3,0.5 +510,9,15,2000,14:12, ,1177-04631,RT,I,,361,785,25.2,28.7,201,211,,,1,0.5 +511,9,16,2000,12:23, ,1705-37411,CH,A,F,268,56,19.3,26.1,206,223,,,3,0.25 +512,9,18,2000,12:05, ,1207-72632,RT,I,,394,1220,30.3,34.5,234,234,,,1,0 +513,9,18,2000,12:35, ,2003-99318,SS,A,F,191,175,13,15.3,149,154,,,4,0.5 +514,9,18,2000,13:39, ,1207-77633,RT,A,,358,1025,27.4,29,204,201,,,1,1 +515,9,18,2000,14:33, ,1177-04632,RT,I,,380,1000,26.9,29,204,217,,,3,1 +516,9,21,2000,10:40, ,803-05931,SS,A,F,188,175,12.1,14.2,154,150,,,4,0 +517,9,21,2000,11:35, ,1207-72634,RT,I,,397,1210,28.3,34,224,219,,,2,0.5 +518,9,21,2000,12:58, ,803-05932,SS,A,F,196,180,13.1,13.9,150,160,,,4,1 +519,9,21,2000,13:32, ,803-05933,SS,A,F,190,175,12.8,14.6,147,149,,,4,0.25 +520,9,22,2000,13:34, ,1142-19230,SS,I,M,161,90,9.8,11.1,130,136,,,3,0.5 +521,9,25,2000,9:50, ,1705-37412,CH,A,F,145,320,16.5,20.5,180,196,,,1,0.25 +522,9,25,2000,12:06, ,1207-72635,RT,I,,392,1185,28.5,33,229,234,,,2,0 +523,9,25,2000,12:20, ,803-05934,SS,I,F,190,,11.9,14.6,153,160,,,2,0.5 +524,9,25,2000,13:18, ,1204-45869,CH,I,M,230,350,16.4,21.3,187,206,,,2,1 +525,9,25,2000,14:52, ,1207-72636,RT,A,,406,,27,31.1,222,224,,,2,0.5 +526,9,26,2000,10:35, ,1177-04633,RT,I,,363,950,24.6,30.3,214,219,,,2,0 +527,9,26,2000,11:40, ,1142-19231,SS,I,M,162,85,10.1,11.4,132,137,,,2,0 +528,9,26,2000,12:10, ,1177-04634,RT,I,,374,895,26.4,30.8,219,227,,,2,0 +529,9,26,2000,12:40, ,1177-04635,RT,I,,412,1150,27.8,33.2,230,240,,,1,0.25 +530,9,26,2000,13:23, ,2206-35431,CH,I,F,272,565,20.7,24,219,240,,,2,0 +531,9,26,2000,14:25, ,1177-04636,RT,I,,388,950,26.5,32.2,230,235,,,2,0 +532,9,27,2000,11:30, ,1177-04637,RT,I,,371,990,26.9,29.7,217,221,,,2,0 +533,9,27,2000,12:20, ,1204-45870,CH,I,M,225,325,15.8,18.7,179,187,,,2,0.5 +534,9,27,2000,13:00, ,1207-72637,RT,I,,391,1120,29,33.9,225,236,,,2,0.25 +535,9,28,2000,14:30, ,1142-19232,SS,I,M,163,90,9.8,11.5,123,131,,,3,0.5 +536,9,29,2000,10:25, ,1207-72638,RT,I,F,410,1120,28.5,33.6,229,237,,,2,0.5 +537,9,29,2000,11:47, ,1177-04638,RT,I,,368,820,25.2,28.7,215,205,,,2,0 +538,9,29,2000,13:00, ,1177-04639,RT,I,F,410,1200,26.7,29.4,247,255,,,2,0 +539,9,29,2000,13:30, ,1207-74639,RT,A,F,425,1120,29.4,33.3,222,227,,,2,0 +540,9,30,2000,13:30, ,1177-04640,RT,I,,368,1120,24.7,30.8,220,224,,,2,1 +541,9,30,2000,15:01, ,1207-74640,RT,I,,392,1220,27.3,34.1,234,237,,,1,0 +542,10,1,2000,14:00, ,1705-37413,SS,I,M,250,470,18.9,25.3,192,195,,,1,0 +543,10,1,2000,14:50, ,1207-72641,RT,I,,418,1310,29.1,31.9,248,255,,,2,0.5 +544,10,2,2000,13:20, ,1177-04641,RT,I,,370,920,26.8,29.7,221,223,,,3,0 +545,10,3,2000,10:52, ,1142-19233,SS,A,M,170,100,10.9,12.2,132,136,,,2,0.5 +546,10,3,2000,14:05, ,803-05935,SS,A,F,203,180,13.2,15.6,162,164,,,3,1 +547,10,4,2000,10:40, ,1177-04642,RT,A,,370,955,26.5,30.5,218,223,,,2,0 +548,10,4,2000,11:56, ,1207-72642,RT,A,,408,1225,28.8,32.7,225,225,,,2,0 +549,10,6,2000,12:59, ,1207-72643,RT,A,,393,1400,27.9,35.3,215,221,,,3,0 +550,10,7,2000,9:55, ,1177-04643,RT,I,,365,1025,24.6,30.1,225,224,,,1,0 +551,10,7,2000,10:27, ,1207-72644,RT,I,,405,1140,28.2,31.9,244,249,,,1,0 +552,10,7,2000,10:43, ,1207-72645,RT,I,,381,1080,26.1,31.6,232,233,,,0,0 +553,10,7,2000,12:24, ,1177-04644,RT,I,,390,1135,27.6,31.1,238,239,,,2,0 +554,10,7,2000,15:12, ,1207-72646,RT,I,,384,1430,29.8,35,231,235,,,1,0.25 +555,10,8,2000,12:25, ,1177-04645,RT,I,,390,1050,25.6,29.9,218,221,,,1,0.25 +556,10,8,2000,13:29, ,1177-04646,RT,I,,381,920,27,29.6,223,226,,,1,0.25 +557,10,9,2000,10:10, ,803-05936,SS,A,F,194,175,12.4,14,152,152,,,4,1 +558,10,9,2000,14:00, ,1807-82702,RT,I,,371,905,23.6,26.8,197,204,,,3,0.5 +559,10,9,2000,14:26, ,1177-04647,RT,I,,356,915,26.4,28.9,195,204,,,2,0 +560,10,9,2000,14:38, ,1177-04648,RT,I,,377,910,25,29,206,217,,,1,0 +561,10,10,2000,13:57, ,1177-04649,RT,I,,362,950,25.4,29.7,213,215,,,2,0.5 +562,10,11,2000,12:21, ,1142-19234,SS,A,M,165,105,10.1,11.8,127,132,,,4,1 +563,10,12,2000,10:10, ,1142-19235,SS,A,M,155,100,9.3,11.8,122,130,,,4,0.5 +564,10,12,2000,13:35, ,1207-72647,RT,I,,400,1225,27.3,34.2,222,233,,,2,0 +565,10,13,2000,9:33, ,1142-19236,SS,A,M,161,105,10.4,12,124,138,,,2,0 +566,10,13,2000,9:58, ,1207-72648,RT,I,,387,1090,27.9,32.4,227,227,,,2,0 +567,10,13,2000,11:08, ,1207-72649,RT,I,,409,1350,30,32.7,235,245,,,2,0 +568,10,13,2000,12:35, ,2003-99320,SS,A,F,195,200,13,13.4,158,172,,,3,1 +569,10,13,2000,14:45, ,2003-99321,SS,A,F,196,200,13.5,15.4,150,156,,,4,0 +570,10,14,2000,11:35, ,1142-19237,SS,A,M,169,100,10,11.7,133,135,,,3,1 +571,10,14,2000,12:07, ,1177-04650,RT,I,,385,940,26.2,30.5,228,235,,,2,0 +572,10,14,2000,13:07, ,1807-82703,RT,I,,377,920,24.7,29.3,219,225,,,2,0 +573,10,14,2000,13:12, ,1177-04651,RT,I,,400,1190,29.4,33.3,231,237,,,2,0 +574,10,15,2000,12:50, ,1142-19238,SS,I,M,164,90,9.4,10.7,127,132,,,3,0 +575,10,16,2000,14:30, ,1142-19239,SS,A,M,165,95,10.4,11.4,127,130,,,3,0 +576,10,17,2000,15:03, ,1177-04652,RT,I,,363,915,25,28.3,209,219,,,2,0 +577,10,18,2000,12:14, ,2206-35432,CH,A,F,266,535,18.8,25.4,223,229,,,3,0 +578,10,18,2000,14:28, ,1177-04653,RT,I,,403,1310,29.1,33.3,237,241,,,2,0 +579,10,19,2000,12:14, ,1177-04654,RT,I,,375,950,26.9,30.1,210,211,,,2,0 +580,10,19,2000,13:38, ,1142-09240,SS,A,M,166,120,10.1,11.7,133,137,,,2,1 +581,10,20,2000,9:48, ,1177-04655,RT,I,,373,975,26.1,27.9,215,221,,,2,0 +582,10,20,2000,11:46, ,1177-04656,RT,I,,373,990,27.9,31,217,219,,,2,0 +583,10,20,2000,12:38, ,1142-09241,SS,A,M,170,110,11.4,121,135,143,,,1,1 +584,10,20,2000,14:12, ,1177-04657,RT,A,,373,1270,26.5,29.6,207,210,,,2,0 +585,10,20,2000,14:27, ,1807-82704,RT,I,,354,960,26,31,211,213,,,3,0.25 +586,10,20,2000,14:45, ,1207-72650,RT,I,,394,1290,28.8,30.7,225,232,,,2,0 +587,10,21,2000,9:22, ,1142-09242,SS,I,M,165,95,10.2,11.6,131,139,,,3,0 +588,10,21,2000,13:57, ,1705-24640,CH,A,F,261,505,19.2,25.1,203,203,,,2,0 +589,10,21,2000,14:12, ,1177-04658,RT,I,,377,1045,26.9,31.5,223,225,,,2,0 +590,10,25,2000,12:51, ,1177-04659,RT,I,,364,1090,27.1,30.3,218,223,,,2,1 +591,10,25,2000,13:45, ,1177-04660,RT,I,,385,1180,28.6,30,222,225,,,2,0 +592,10,26,2000,9:21, ,1177-04661,RT,I,,390,1195,27.6,34.7,235,237,,,2,0 +593,10,26,2000,10:53, ,1177-04662,RT,A,,383,1055,27.7,32.7,208,208,,,2,0 +594,10,26,2000,12:53, ,1177-04663,RT,I,,365,1025,26.1,30.3,216,223,,,2,0 +595,10,27,2000,10:49, ,803-05937,SS,I,F,201,175,12,14.8,157,163,,,3,0 +596,10,27,2000,13:15, ,1177-04664,RT,I,,376,940,25.1,31.7,217,220,,,2,0 +597,10,27,2000,14:49, ,1207-72651,RT,A,,402,1335,28.3,33.3,219,217,,,2,0.25 +598,10,29,2000,9:45, ,1177-04665,RT,I,,394,1085,29.4,32.7,235,230,,,1,0.25 +599,10,29,2000,13:36, ,1204-45871,CH,I,M,223,375,16.2,20.7,185,208,,,2,1 +600,10,30,2000,11:20, ,1177-04666,RT,A,,378,1090,28,30.9,212,217,,,2,0.25 +601,11,1,2000,12:08, ,1177-04667,RT,I,,369,995,26,28.2,211,225,,,2,0 +602,11,1,2000,13:16, ,1177-04668,RT,A,,378,1090,28,30.7,201,209,,,1,0.5 +603,11,2,2000,9:55, ,1177-04669,RT,A,,262,1020,28,31.2,200,207,,,2,0 +604,11,2,2000,10:28, ,1142-19243,SS,I,M,165,100,10.6,12.1,137,150,,,4,1 +605,11,2,2000,12:47, ,1177-04670,RT,A,,379,1000,28.6,32.2,217,224,,,1,0 +606,11,3,2000,9:42, ,1177-04671,RT,I,,380,1085,27.4,33.3,223,225,,,1,0 +607,11,4,2000,11:20, ,1177-04672,RT,A,,380,1045,24.9,27,199,206,,,2,0 +608,11,4,2000,13:10, ,1177-04673,RT,I,,393,1060,27.7,32.4,217,225,,,1,0 +609,11,4,2000,13:24, ,1207-72652,RT,A,,389,1135,27.1,32.1,207,210,,,2,0 +610,11,8,2000,10:31, ,1207-72653,RT,I,,395,1210,28.5,28.5,222,223,,,3,0 +611,11,12,2000,13:50, ,2003-99233,SS,I,F,207,185,13,14.3,163,172,,,2,1 +612,11,14,2000,11:40, ,1807-82705,RT,I,,367,965,24.8,24.1,217,220,,,3,0 +613,11,14,2000,11:57, ,1177-04674,RT,A,,368,905,26.8,27,200,204,,,0,0.5 +614,11,18,2000,10:47, ,1177-04675,RT,I,,377,1125,25.3,29.5,220,226,,,2,0 +615,11,20,2000,11:15, ,1177-04676,RT,I,,374,950,27.2,29.8,216,224,,,2,1 +616,11,21,2000,12:03, ,1177-04677,RT,A,,385,1195,27.3,30.9,216,227,,,3,0 +617,9,3,2001,13:30, ,1177-04698,RT,I,,363,1005,25,31.6,222,226,,,2,0 +618,9,9,2001,11:51, ,1142-19244,SS,I,M,164,95,11.4,130,136,136,,,4,0 +619,9,10,2001,9:39, ,2003-99323,SS,A,F,199,175,12.3,15,142,149,,,4,0 +620,9,10,2001,14:05, ,1177-04678,RT,I,,378,995,26.2,30,213,222,,,2,0 +621,9,12,2001,11:03, ,803-05938,SS,I,F,200,165,12.1,14.2,154,158,,,4,0.25 +622,9,12,2001,11:35, ,1207-72654,RT,I,,405,1170,29.25,39.8,226,230,,,2,0 +623,9,13,2001,10:20, ,2003-99324,SS,I,F,194,145,12,14.6,156,161,,,3,0 +624,9,13,2001,11:00, ,2003-99325,SS,I,F,190,175,12.4,15.2,160,159,,,1,0.5 +625,9,13,2001,13:03, ,2003-99326,SS,I,F,195,170,13.1,14.8,149,161,,,2,1 +626,9,14,2001,10:35, ,1213-58903,SS,I,M,161,105,10.3,11.2,131,135,,,3,1 +627,9,14,2001,13:05, ,1213-58904,SS,I,M,168,95,10,11.4,137,139,,,3,0.25 +628,9,14,2001,13:55, ,1213-58905,SS,I,M,160,95,9.8,10.8,126,132,,,2,1 +629,9,16,2001,14:00, ,1177-04679,RT,I,,392,1085,31.2,34.6,210,219,,,1,0 +630,9,19,2001,10:11, ,2003-99327,SS,I,F,201,165,12.3,14.8,165,168,,,4,0 +631,9,19,2001,11:55, ,1207-72655,RT,I,,395,1115,27.4,32.7,235,240,,,1,0 +632,9,20,2001,12:50, ,1207-72656,RT,I,,390,1195,27.6,33,222,228,,,1,0.5 +633,9,22,2001,9:45, ,1142-19245,SS,I,M,161,100,9.8,11.9,129,132,,,3,0 +634,9,22,2001,10:45, ,1705-24641,CH,A,M,230,365,16.9,23.55,192,204,,,3,0.25 +635,9,22,2001,14:57, ,2003-99328,SS,I,F,192,170,11.9,9.5,156,161,,,4,0.5 +636,9,24,2001,12:50, ,1213-58906,SS,I,M,156,90,9.8,11.3,135,138,,,1,0 +637,9,24,2001,14:20, ,1213-58907,SS,I,M,158,95,10.7,11.1,129,136,,,2,1 +638,9,26,2001,10:15, ,1142-19246,SS,I,M,167,115,9.8,11.4,131,135,,,3,1 +639,9,26,2001,12:20, ,804-00201,SS,I,F,199,155,11.9,14.5,160,165,,,4,0 +640,9,27,2001,13:40, ,1705-24642,CH,I,F,320,229,17,21,195,199,,,2,0 +641,9,30,2001,12:33, ,1207-72657,RT,A,,389,1165,29,33.1,223,226,,,2,0 +642,10,2,2001,11:00, ,804-00202,CH,I,M,227,155,17.1,21,192,204,,,1,0.25 +643,10,2,2001,13:15, ,804-00203,CH,A,M,230,340,16.1,20.2,198,202,,,2,0 +644,10,3,2001,10:29, ,2003-99329,SS,A,F,199,180,12,15.5,152,159,,,4,0 +645,10,5,2001,14:29, ,1177-04680,RT,I,,378,235,25.4,30.7,223,231,,,1,0.5 +646,10,9,2001,13:25, ,1142-19247,SS,I,M,164,105,10.2,11.2,132,137,,,2,1 +647,10,9,2001,14:58, ,1207-72658,RT,A,,385,1085,27.5,30.8,216,226,,,2,0.5 +648,10,14,2001,9:36, ,1177-04681,RT,I,,369,970,26.1,30.4,207,212,,,2.5,0 +649,10,14,2001,10:27, ,1177-04682,RT,I,,378,1030,28.5,31.9,218,223,,,2,0 +650,10,14,2001,11:52, ,1177-04683,RT,I,,373,1015,25.5,29.6,215,335,,,2.5,0 +651,10,14,2001,12:20, ,1177-04684,RT,A,,419,1030,29.2,31.5,224,229,,,2.5,0 +652,10,14,2001,14:12, ,1177-04685,RT,I,,414,1215,26.4,29.2,242,232,,,2,0 +653,10,15,2001,13:20, ,2003-99330,SS,A,F,203,185,13.5,14.2,157,170,,,2.5,0 +654,10,17,2001,9:50, ,1142-19248,SS,A,M,162,95,10.2,11,119,121,,,3,0.25 +655,10,17,2001,10:36, ,1142-19249,SS,I,M,165,95,10,11,130,138,,,3,0 +656,10,17,2001,10:58, ,1142-19250,SS,A,M,161,95,9.7,11,124,134,,,4,0.5 +657,10,17,2001,11:35, ,1142-19251,SS,I,M,161,110,10.1,11.8,130,137,,,2,0.75 +658,10,17,2001,12:59, ,1177-04686,RT,I,,404,1170,28.4,32.8,237,240,,,1,0 +659,10,17,2001,13:48, ,1142-19252,SS,I,M,165,105,10.4,11.2,140,139,,,3,0.25 +660,10,17,2001,14:03, ,2003-99331,SS,A,F,199,175,12.8,14.5,159,160,,,3,0 +661,10,18,2001,9:24, ,1142-19253,SS,I,M,171,95,10.9,11.7,138,145,,,3,0 +662,10,18,2001,9:58, ,2003-99332,SS,A,F,213,190,13.7,15.2,159,269,,,4,0 +663,10,18,2001,10:11, ,1142-19254,SS,A,M,169,105,10.2,11.8,136,142,,,3,1 +664,10,18,2001,10:35, ,1207-72659,RT,I,,379,1435,27.4,32.7,221,221,,,3,0 +665,10,18,2001,12:00, ,1207-72660 ,RT,I,,407,1235,30.1,35.8,243,246,,,2,0 +666,10,18,2001,12:42, ,1177-04689,RT,I,,376,1055,29.5,32.2,222,220,,,3,0 +667,10,18,2001,13:56, ,1177-04688,RT,I,,380,1105,22,30.8,208,212,,,2,0.5 +668,10,18,2001,14:29, ,1142-19255,SS,A,M,172,120,9.8,11.8,132,141,,,2,1 +669,10,18,2001,15:30, ,1207-72661,RT,I,,408,1390,28.4,32.7,245,243,,,1,0.75 +670,10,19,2001,11:53, ,1142-19256,SS,A,M,167,105,10.3,10.8,131,138,,,2,0 +671,10,19,2001,12:42, ,1177-04690,RT,A,,374,1080,26.5,31.3,206,214,,,3,0 +672,10,21,2001,12:48, ,1177-04691,RT,I,,376,910,26.1,32.2,220,224,,,2,0 +673,10,23,2001,10:55, ,1705-24643,CH,I,F,258,490,18,24.2,214,214,,,2,0 +674,10,23,2001,12:24, ,1807-66307,RT,I,,370,845,25,27.4,217,220,,,2,0 +675,10,23,2001,12:55, ,2003-99333,SS,A,F,202,175,13.3,14.9,162,171,,,3.5,0 +676,10,25,2001,10:29, ,1807-66308,RT,I,,363,865,25.6,27.3,210,211,,,3,0 +677,10,25,2001,11:04, ,2003-99334,SS,A,F,200,180,11.9,13.5,163,173,,,3,0 +678,10,25,2001,11:50, ,1177-04692,RT,I,,372,2030,26.2,30.2,196,204,,,3,0 +679,10,25,2001,12:55, ,1807-66309,RT,A,,378,960,24.6,30,206,214,,,3,0 +680,10,26,2001,12:20, ,1750-24644,CH,A,F,254,515,19.5,23.8,218,221,,,3,0 +681,10,26,2001,13:00, ,1177-04694,RT,I,,361,970,26.3,30.7,218,219,,,2,0 +682,10,28,2001,10:46, ,1177-04695,RT,A,,389,1265,26.6,30.6,210,217,,,3,0.25 +683,10,28,2001,11:37, ,1207-72662,RT,A,,404,1300,29.4,32.8,224,229,,,4,0 +684,10,31,2001,13:30, ,2003-99335,SS,I,F,195,170,12.9,14.7,154,162,,,2,1 +685,11,1,2001,11:45, ,2003-99336,SS,I,F,203,191,13.5,15.5,161,166,,,3,0 +686,11,1,2001,13:45, ,1705-24645,CH,A,F,253,540,19.1,22.6,209,214,,,3,0 +687,11,2,2001,9:41, ,2003-99337,SS,I,F,199,185,12,14.9,157,162,,,4,0 +688,11,3,2001,13:58, ,2003-99338,SS,I,F,194,165,11.9,14.4,158,160,,,4,0.25 +689,11,3,2001,14:23, ,2003-99339,SS,A,F,196,205,12.2,14,156,159,,,3,1 +690,11,5,2001,14:40, ,1142-19257,SS,I,M,168,95,10.4,12.1,133,142,,,3,0 +691,11,6,2001,13:05, ,1177-04696,RT,A,,395,1170,25.8,30.5,218,225,,,3,0.25 +692,11,7,2001,11:15, ,1177-04697,RT,I,,368,1075,27.7,31.7,213,222,,,3,0 +693,11,7,2001,13:15, ,803-05939,SS,I,F,210,200,12.1,15.3,165,174,,,4,0 +694,11,9,2001,9:40, ,1177-04700,RT,I,,401,965,25.8,29.1,235,241,,,2,0 +695,11,9,2001,10:40, ,1807-53134,RT,I,,355,785,22.7,25,206,212,,,2,0.75 +696,11,10,2001,10:27, ,1177-04701,RT,A,,377,1095,25.6,31.7,206,210,,,3,0 +697,11,11,2001,9:44, ,2003-99340,SS,I,F,197,160,12,14.7,153,162,,,4,0 +698,11,14,2001,10:04, ,1142-19258,SS,I,M,171,95,9.1,11.5,135,142,,,3,0 +699,11,19,2001,9:48, ,1177-04702,RT,A,,277,1500,29.7,32.1,207,217,,,4,0 +700,11,19,2001,14:05, ,1207-72663,RT,A,,435,1595,27.4,34.5,230,233,,,3,0.25 +701,9,4,2002,10:00, ,1177-04703,RT,I,,372,985,25.4,31,224,227,,,3,0 +702,9,5,2002,12:45, ,1705-24648,CH,A,F,260,565,20,24.2,216,215,,,2,0 +703,9,8,2002,12:20, ,1177-04704,RT,I,,390,240,25.2,29.3,218,215,,,2,0.25 +704,9,8,2002,12:44, ,1177-04705,RT,I,,359,875,26,31.1,215,220,,,2,0 +705,9,10,2002,12:39, ,1177-04706,RT,I,,393,1225,29,33.4,226,224,,,2,0 +706,9,12,2002,10:13, ,1207-72664,RT,I,,402,1255,30.6,34.6,242,243,,,3,0.25 +707,9,12,2002,11:51, ,1177-04707,RT,I,,362,950,26.8,30.7,212,219,,,2,0 +708,9,13,2002,12:55, ,1705-14646,CH,I,M,227,330,16,18.5,193,205,,,3,0.25 +709,9,16,2002,13:14, ,1807-53135,RT,A,,359,895,27.5,30.1,201,219,,,2,0.25 +710,9,17,2002,11:20, ,1142-19259,SS,I,M,155,100,9.8,12,129,133,,,3,0 +711,9,18,2002,12:08, ,1705-24647,CH,I,F,261,455,17.1,26.8,216,220,,,2,0 +712,9,19,2002,9:30, ,1142-19260,SS,I,M,160,90,10.3,11.5,132,132,,,3,0 +713,9,19,2002,12:01, ,1142-19261,SS,I,M,166,105,11.3,11.4,131,139,,,2,1 +714,9,21,2002,13:38, ,1207-72665,RT,I,,362,1305,28.2,34.3,234,235,,,2,1 +715,9,22,2002,10:50, ,1177-04708,RT,I,,375,975,27.2,31.8,220,226,,,2,0 +716,9,22,2002,11:57, ,1177-04709,RT,I,,388,1185,28.9,34.3,225,226,,,3,0 +717,9,22,2002,13:47, ,1177-04710,RT,I,,392,1030,26.1,30.5,214,215,,,2,0 +718,9,22,2002,14:29, ,1207-72666,RT,I,,412,1215,28.7,34.1,230,237,,,2,0 +719,9,23,2002,13:15, ,1177-04711,RT,I,,371,1075,26.9,32.8,220,220,,,2,0 +720,9,23,2002,14:23, ,1705-24649,CH,A,F,255,960,19.7,42.8,200,213,,,3,0.75 +721,9,24,2002,12:50, ,1807-53136,RT,I,,391,795,24.3,27.6,209,210,,,3,0 +722,9,24,2002,13:26, ,2003-99341,SS,I,F,190,180,12.2,14.2,156,161,,,4,0.5 +723,9,25,2002,12:36, ,1177-04712,RT,I,,385,1225,27.8,32,225,228,,,3,0 +724,9,25,2002,14:05, ,1142-19262,SS,I,M,166,110,10,11.9,139,141,,,3,1 +725,9,26,2002,10:49, ,2003-99342,SS,A,F,197,165,12.2,14.9,159,159,,,4,0 +726,9,29,2002,10:10, ,1177-04713,RT,I,,370,920,26.3,32,226,230,,,2,0 +727,9,29,2002,10:50, ,2003-99345,SS,I,F,190,170,12,15,154,160,,,4,1 +728,9,29,2002,12:52, ,1207-72667,RT,I,,400,1315,29.6,34,230,238,,,2,1 +729,9,29,2002,13:06, ,1142-19263,SS,I,M,162,100,9.4,11.1,131,137,,,3,1 +730,9,30,2002,11:26, ,2003-00344,SS,I,F,194,155,12.5,14.5,156,160,,,4,0 +731,9,30,2002,11:45, ,1207-72668,RT,I,,395,1155,29.9,34.4,233,230,,,2,0 +732,9,30,2002,12:46, ,1207-72669,RT,I,,403,1160,29,32.3,235,236,,,3,0.25 +733,10,3,2002,9:58, ,1177-04714,RT,I,,386,955,27.9,30.4,226,239,,,3,0 +734,10,4,2002,9:53, ,803-05940,SS,A,F,193,190,13.1,14.9,145,146,,,4,0 +735,10,4,2002,15:15, ,2003-99346,SS,A,F,203,180,13.8,14.7,156,166,,,2,0 +736,10,5,2002,8:34, ,1142-19264,SS,A,M,159,90,10,11.5,130,134,,,3,0 +737,10,5,2002,9:59, ,1142-19265,SS,I,M,163,100,9.8,11.7,130,129,,,3,0.25 +738,10,5,2002,10:34, ,2003-99348,SS,A,M,191,190,12.4,14.8,147,155,,,3,1 +739,10,5,2002,13:08, ,1142-19266,SS,I,M,166,105,10.3,12,141,142,,,3,0 +740,10,5,2002,13:30, ,1177-04715,RT,I,,361,1030,27,30.5,231,233,,,2,0 +741,10,5,2002,14:27, ,1705-37416,CH,A,F,260,565,19.7,54.5,205,212,,,2,0 +742,10,6,2002,9:48, ,804-00205,CH,A,M,234,380,12.4,21.9,192,195,,,3,0 +743,10,6,2002,10:43, ,1177-04716,RT,I,,377,1040,28.1,30.9,225,231,,,2,0 +744,10,6,2002,12:03, ,1807-53137,RT,I,,361,910,24.3,27.5,205,210,,,3,0 +745,10,6,2002,12:34, ,1177-04717,RT,I,,375,1005,26,32.5,226,234,,,2,0 +746,10,6,2002,14:56, ,2003-99349,SS,I,F,193,180,11.9,14.3,156,163,,,4,0 +747,10,7,2002,9:40, ,803-05941,SS,I,F,196,175,12.4,15.6,153,159,,,4,0 +748,10,7,2002,13:25, ,1142-19267,SS,I,M,159,105,9.8,11,131,137,,,4,0.25 +749,10,7,2002,13:25, ,1213-58908,SS,I,F,192,190,11.8,14.2,155,162,,,3,1 +750,10,7,2002,13:29, ,1207-72670,RT,I,,401,1250,28.2,35.3,230,235,,,2.5,0 +751,10,8,2002,14:40, ,2003-99350,SS,I,F,198,185,12.6,15.2,165,169,,,3,0.25 +752,10,10,2002,11:36, ,1177-04718,RT,I,,407,1275,27.5,33.7,238,245,,,2,0 +753,10,10,2002,12:46, ,1142-19268,SS,I,M,162,105,9.8,12.5,132,138,,,2.5,1 +754,10,11,2002,11:23, ,2206-35435,CH,A,F,169,640,16.7,23.6,233,230,,,2.5,1 +755,10,11,2002,14:50, ,1142-19269,SS,I,M,168,100,10.5,10.7,135,140,,,1,0.25 +756,10,13,2002,9:38, ,1142-19270,SS,A,M,168,105,10.7,11.6,134,136,,,3,0 +757,10,13,2002,10:00, ,804-00206,CH,A,M,223,390,15.9,20.6,181,187,,,2.5,1 +758,10,13,2002,10:42, ,1177-04719,RT,I,,375,1030,26.9,31.3,217,226,,,2,0 +759,10,13,2002,11:33, ,1177-04720,RT,A,,406,1290,29.3,33.3,227,226,,,2,0 +760,10,14,2002,9:50, ,1177-04721,RT,I,,386,1020,26.9,31.6,230,231,,,2,0 +761,10,14,2002,10:14, ,1142-19271,SS,A,M,160,105,9.9,11.4,136,140,,,4,0 +762,10,14,2002,12:59, ,1177-04722,RT,I,,378,1055,26.5,29.9,217,226,,,3,0 +763,10,14,2002,14:16, ,803-05942,SS,A,F,193,185,12.3,14.8,154,158,,,3,0.33 +764,10,17,2002,9:46, ,1177-04723,RT,I,,379,1010,25,29.3,216,230,,,2,0 +765,10,18,2002,10:00, ,1177-04724,RT,I,,364,1015,24.9,29.5,215,219,,,2,0.5 +766,10,18,2002,12:50, ,1177-04725,RT,A,,350,1115,29.5,30.3,199,204,,,2,0.33 +767,10,18,2002,13:10, ,1207-7267,RT,I,,380,1320,26.7,31.6,210,216,,,3,0 +768,10,19,2002,10:34, ,1207-72672,RT,A,,395,1180,30.3,33.4,217,222,,,3,0 +769,10,19,2002,11:22, ,1177-04726,RT,I,,372,1145,25.9,32.2,212,225,,,3.5,0.4 +770,10,19,2002,13:22, ,1177-04727,RT,I,,376,995,28,30.2,223,228,,,2,0 +771,10,20,2002,13:24, ,1177-04728,RT,I,,367,1045,26.1,30.5,215,221,,,2,0.25 +772,10,21,2002,11:05, ,1204-5874,CH,I,M,230,340,16,19.5,196,198,,,3,0 +773,10,21,2002,13:55, ,1807-53138,RT,I,,366,935,25.7,27.1,218,222,,,3,0.33 +774,10,23,2002,12:56, ,1177-04729,RT,I,,386,1065,26.1,31,221,229,,,2,0.25 +775,10,26,2002,12:45, ,1177-04730,RT,I,,375,1110,27.7,31.3,215,217,,,3,0 +776,10,30,2002,10:30, ,2003-99351,SS,I,F,199,190,12,15.2,163,173,,,4,0 +777,10,30,2002,12:40, ,1177-04731,RT,A,,405,1255,27.9,31.8,218,225,,,3,0 +778,10,31,2002,10:18, ,1177-04732,RT,A,,371,1015,24.9,28.4,204,208,,,2,0 +779,10,31,2002,12:00, ,2003-99352,SS,I,F,193,190,12.2,15.2,151,156,,,3,0 +780,10,31,2002,12:15, ,1177-04733,RT,I,,350,960,26.6,29.9,218,224,,,2,0 +781,10,31,2002,13:20, ,2003-99353,SS,I,F,193,200,11.3,13.5,155,161,,,4,0 +782,11,1,2002,10:50, ,1177-04734,RT,A,,368,1090,27.3,30.4,216,220,,,2,0 +783,11,2,2002,10:34, ,2003-99354,SS,I,M,185,170,12,14.7,156,160,,,4,0 +784,11,2,2002,10:48, ,1177-04735,RT,I,,372,1085,25.4,29.8,220,220,,,2,0 +785,11,2,2002,11:00, ,1177-04736,RT,I,,396,1065,27.7,30,230,235,,,3,0 +786,11,2,2002,11:18, ,1177-04737,RT,I,,365,1125,26.9,29.3,213,220,,,3.5,0 +787,11,3,2002,11:36, ,1177-04738,RT,I,,374,1050,25.5,30.3,220,225,,,2,0 +788,11,4,2002,9:33, ,1705-24644,CH,I,F,253,525,19.5,23.5,213,216,,,3,0 +789,11,6,2002,12:06, ,1177-04739,RT,I,,372,980,26.4,29,215,215,,,1.5,0 +790,11,6,2002,14:06, ,1177-04740,RT,I,,376,1180,24.4,30.7,214,218,,,2,0 +791,11,7,2002,10:20, ,1142-19272,SS,I,M,166,115,9.9,11.6,136,140,,,2.5,1 +792,11,7,2002,11:58, ,1177-04741,RT,I,,369,1095,26.6,28.4,215,220,,,2,0 +793,11,7,2002,12:28, ,1207-72673,RT,A,,391,1330,26.8,30.1,217,220,,,2,0 +794,11,7,2002,12:59, ,2003-99355,SS,I,F,193,185,12.1,14.9,158,166,,,4,0 +795,11,8,2002,11:45, ,1177-0472,RT,A,,397,1100,22.1,28.8,219,215,,,2,0 +796,11,8,2002,14:29, ,1177-0473,RT,I,,366,1115,27.1,21,215,219,,,2,0.75 +797,11,10,2002,11:35, ,1207-72674,RT,A,,385,1400,30.3,33.3,211,220,,,3,0 +798,11,10,2002,12:35, ,1177-0744,RT,I,,400,1175,27.6,32.6,234,235,,,2,0 +799,11,11,2002,11:48, ,2003-99356,SS,I,F,198,185,11.8,15.1,161,170,,,4,0 +800,9,5,2003,10:38, ,1177-0745,RT,A,,365,970,25.9,31.6,208,215,,,3,0 +801,9,14,2003,10:18, ,2003-99357,SS,I,F,194,170,11.6,14,153,159,,,4,1 +802,9,16,2003,10:15, ,803-05943,SS,I,F,195,175,12,15.6,152,159,,,3,0.25 +803,9,16,2003,10:57, ,2003-99358,SS,I,F,200,165,11.5,14.5,163,168,,,3,0 +804,9,16,2003,12:55, ,1207-72675,RT,I,,384,1260,28.6,32.5,226,226,,,2.5,0 +805,9,17,2003,9:40, ,1142-19273,SS,I,M,159,110,9.9,11.1,125,126,,,3,1 +806,9,18,2003,10:17, ,1142-19274,SS,I,M,161,100,9.3,11.5,134,138,,,2,0.25 +807,9,18,2003,10:17, ,2003-99359,SS,I,F,191,190,12.3,14.8,162,168,,,3,1 +808,9,18,2003,11:55, ,1204-45879,CH,I,M,216,305,16,20.4,185,191,,,2,0 +809,9,18,2003,13:50, ,1705-37417,CH,I,F,256,510,18.8,23.3,212,217,,,2.5,0.125 +810,9,19,2003,10:59, ,1142-19275,SS,I,M,161,90,9.5,11.3,123,132,,,3,0 +811,9,20,2003,12:04, ,1207-99560,RT,A,,396,1195,27,23.8,228,225,,,2,0 +812,9,20,2003,13:35, ,1177-04746,RT,I,,391,1035,27.9,33.1,221,226,,,2,0 +813,9,20,2003,14:12, ,1142-19276,SS,I,M,160,90,8.8,11.4,131,135,,,2.5,0 +814,9,21,2003,9:52, ,2003-99360,SS,I,M,183,160,12.7,14.6,143,146,,,4,0 +815,9,22,2003,14:21, ,1142-19277,SS,I,M,156,85,9.7,11,129,313,,,3,0 +816,9,23,2003,10:44, ,1207-72676,RT,I,,393,1155,28.3,30.9,223,230,,,2,0 +817,9,23,2003,11:16, ,1207-72677,RT,I,,397,1260,27.8,32.9,232,231,,,3,0 +818,9,23,2003,13:13, ,1142-19278,SS,I,M,159,95,8.9,10.4,125,130,,,3,0.25 +819,9,23,2003,14:00, ,1705-37418,CH,I,F,255,440,18.6,22.8,214,220,,,2,0 +820,9,24,2003,9:35, ,2003-99362,SS,I,M,197,175,10,14.9,150,162,,,3,0 +821,9,24,2003,9:53, ,1204-45880,CH,I,M,218,295,16.1,19.4,183,187,,,2.5,0 +822,9,25,2003,9:49, ,2003-99363,SS,I,F,196,160,12.6,14.5,158,166,,,4,0 +823,9,25,2003,13:08, ,1177-04747,RT,I,,384,1010,26.8,31.1,230,235,,,2,0.5 +824,9,25,2003,13:30, ,1177-04748,RT,I,,385,990,26,29.6,225,229,,,3,0 +825,9,26,2003,10:19, ,2003-99364,SS,I,M,181,150,11.4,14.3,141,150,,,3,0 +826,9,26,2003,11:27, ,1204-45881,CH,I,M,225,300,16,20.1,183,192,,,2,0 +827,9,17,2003,9:18, ,1177-04749,RT,I,,379,945,24.5,31.3,224,231,,,2.5,0 +828,9,27,2003,10:10, ,2003-99365,SS,I,F,201,188,11.7,14.9,162,168,,,4,0 +829,9,28,2003,9:36, ,1142-19279,SS,I,M,161,95,10.6,11.5,131,138,,,1,0 +830,9,28,2003,10:11, ,1705-37419,CH,A,M,230,330,15.7,19.4,188,196,,,1,0 +831,9,28,2003,12:12, ,1142-19280,SS,I,M,159,95,9.9,11.2,132,134,,,1,0 +832,9,29,2003,11:20, ,1177-04750,RT,I,,367,970,26.4,30.5,215,215,,,3,0 +833,9,29,2003,12:02, ,1207-72678,RT,I,,396,1240,28.9,32.8,237,245,,,3,0 +834,9,29,2003,12:58, ,1142-19281,SS,I,M,157,105,10,11.5,133,137,,,3,1 +835,9,29,2003,13:51, ,2003-99366,SS,I,F,191,165,11.5,14.9,156,159,,,4,0 +836,9,29,2003,14:47, ,2003-99367,SS,I,F,191,170,12.1,15.1,163,163,,,4,0 +837,9,29,2003,15:15, ,1142-19282,SS,I,M,168,100,10.2,11.9,134,137,,,3,0 +838,9,29,2003,15:55, ,1207-72679,RT,I,,428,1290,28.4,33.9,253,256,,,2,0 +839,9,30,2003,12:05, ,1705-37420,CH,A,F,252,470,19.5,28.4,211,213,,,3,0 +840,9,30,2003,12:53, ,2003-99368,SS,A,F,192,175,11.7,14.2,160,167,,,3,1 +841,9,30,2003,13:22, ,2003-99369,SS,A,F,195,195,13.6,14,158,163,,,4,1 +842,10,1,2003,10:07, ,1204-45882,CH,A,M,233,335,16.3,21.3,187,194,,,3,0 +843,10,1,2003,11:53, ,1177-04751,RT,A,,364,1150,26.1,28.2,196,202,,,2,0 +844,10,1,2003,13:40, ,1177-04752,RT,I,,370,960,25.4,30.4,217,224,,,2,0 +845,10,1,2003,14:30, ,1207-72680,RT,I,,400,1130,28.3,29.4,227,230,,,2,0 +846,10,3,2003,9:18, ,1177-04753,RT,I,,375,925,25.4,28.6,220,226,,,1,0 +847,10,3,2003,14:43, ,1207-72681,RT,I,,398,1205,27.6,33.4,227,235,,,2,0 +848,10,4,2003,11:04, ,1177-04754,RT,I,,385,1040,27.2,31.5,238,245,,,2,0 +849,10,4,2003,11:58, ,1142-19283,SS,I,M,156,100,9.9,11.2,122,130,,,4,0.25 +850,10,4,2003,12:46, ,1204-45883,CH,I,M,230,335,16.3,19.7,201,210,,,2.5,0.5 +851,10,5,2003,10:58, ,1204-45884,CH,I,M,220,335,16.2,20,185,190,,,2,0 +852,10,6,2003,14:12, ,1142-19284,SS,I,M,163,105,10.3,11.7,137,140,,,3,0 +853,10,7,2003,10:46, ,1807-53139,RT,I,,376,860,25.6,30,220,227,,,2,0 +854,10,7,2003,11:17, ,1177-04755,RT,I,,360,935,25.8,30,212,221,,,3,0 +855,10,7,2003,11:42, ,1177-04756,RT,A,,372,1010,24.3,29,197,203,,,1,0 +856,10,7,2003,11:58, ,1207-72682,RT,I,,400,1285,29.7,33.5,230,237,,,2,0 +857,10,7,2003,12:10, ,2003-99370,SS,A,F,194,210,13,14.5,147,150,,,4,1 +858,10,7,2003,12:49, ,1807-53140,RT,I,,370,830,23.6,27.8,233,231,,,2,0 +859,10,8,2003,10:31, ,1142-19285,SS,I,M,160,95,10.2,11.2,135,142,,,3,0 +860,10,8,2003,11:08, ,1207-72683,RT,I,,403,1350,28,32.8,140,245,,,2,0 +861,10,8,2003,12:28, ,1177-04757,RT,I,,375,1010,25,30.8,218,222,,,2,1 +862,10,8,2003,14:48, ,1177-04758,RT,I,,373,960,27.7,32.5,222,225,,,2,0 +863,10,10,2003,11:43, ,1177-04759,RT,I,,385,1370,26.4,29.2,233,235,,,3,0 +864,10,12,2003,10:10, ,2003-99371,SS,I,F,143,170,12.8,13.9,159,,,,3,0.5 +865,10,12,2003,11:30, ,1142-19286,SS,I,M,162,100,8.7,11.4,136,143,,,4,0 +866,10,12,2003,12:10, ,1207-72684,RT,I,,392,1250,28.6,32.9,222,229,,,2,0.25 +867,10,12,2003,13:15, ,1807-53141,RT,I,,372,915,24.7,28.2,203,,,,3,0.5 +868,10,13,2003,12:00, ,1177-04760,RT,I,,375,850,25,28,218,226,,,2,0 +869,10,13,2003, , ,1207-72685,RT,I,,415,1285,29.4,34,242,242,,,2,0.25 +870,10,14,2003,10:53, ,1142-19287,SS,A,M,161,95,9.8,11.7,129,136,,,4,0 +871,10,14,2003,12:24, ,1177-04761,RT,A,,380,1005,27,31.6,205,214,,,2,0 +872,10,18,2003,12:45, ,788-36611,RT,A,,411,1220,28.1,32.7,236,245,,,2,0 +873,10,21,2003,9:08, ,1142-19288,SS,A,M,161,95,9.6,12.4,121,128,,,2.5,0 +874,10,21,2003,10:19, ,1142-19289,SS,I,M,165,100,9.8,12,134,140,,,3,0 +875,10,21,2003,11:35, ,1207-72686,RT,I,,393,1265,28.3,32.7,233,236,,,2,0 +876,10,21,2003,13:02, ,1177-04762,RT,I,,370,1020,24.6,30,211,215,,,2,0 +877,10,22,2003,12:19, ,1204-45885,CH,A,M,230,360,16,22.1,186,190,,,3,0 +878,10,25,2003,11:07, ,1177-04763,RT,I,,365,895,24.5,28.9,217,221,,,1,0 +879,10,25,2003,11:53, ,1177-04764,RT,I,,371,1160,25.7,28.4,218,224,,,3,0 +880,10,25,2003,12:47, ,1207-72687,RT,I,,400,1585,29,33.8,241,248,,,4,0.25 +881,10,25,2003,12:55, ,1177-04765,RT,A,,382,1140,24.9,31.6,218,222,,,2,0 +882,10,25,2003,13:27, ,1807-53142,RT,A,,371,1115,25.3,29.2,208,214,,,3,0.25 +883,10,25,2003,13:40, ,1177-04766,RT,A,,370,1145,25.4,30.2,212,215,,,2,0 +884,10,26,2003,11:35, ,2003-99372,SS,A,F,194,185,12.8,14.8,152,161,,,2,0.25 +885,10,26,2003,12:15, ,1177-04767,RT,A,,347,990,25.3,29.8,203,206,,,1,0 +886,10,30,2003,10:40, ,1177-04768,RT,I,,363,945,24.5,,218,229,,,2,0 +887,10,30,2003,13:13, ,1213-58909,SS,I,F,195,165,11.7,14.5,153,163,,,3,0 +888,10,30,2003,13:35, ,1177-04769,RT,A,,392,1030,26.3,28.1,196,201,,,2,0.5 +889,10,31,2003,11:20, ,1204-45886,CH,I,M,220,320,15.5,19.5,184,187,,,2,0.25 +890,11,6,2003,10:06, ,2003-99373,SS,I,F,193,105,13,15.6,156,163,,,4,0 +891,11,6,2003,13:02, ,1177-04770,RT,I,,365,990,26.4,30,217,226,,,2,0 +892,11,7,2003,12:30, ,1177-04771,RT,A,,387,1065,28,32.7,212,218,,,2,0.25 +893,11,7,2003,13:45, ,1177-04772,RT,I,,400,1050,26.1,29.7,237,246,,,3,0.25 +894,11,8,2003,13:01, ,1801-53143,RT,I,,362,840,23.2,26.1,206,216,,,2,0 +895,11,9,2003,12:00, ,803-05944,SS,I,F,198,190,12.2,15.8,158,165,,,3,0 +896,11,9,2003,13:31, ,2003-99374,SS,I,F,190,200,12.7,15,157,164,,,3,0.25 +897,11,11,2003,10:15, ,2003-99375,SS,I,F,197,185,12.8,15.6,157,166,,,4,0 +898,11,13,2003,14:00, ,1177-04773,RT,A,,370,1000,26.9,31.4,201,206,,,2,0 +899,11,14,2003,13:35, ,1213-58910,SS,I,F,200,185,12.8,15.2,158,166,,,4,1 +900,11,17,2003,10:19, ,1177-04774,RT,A,,360,1325,26.2,30.6,224,230,,,4,0.75 +901,11,18,2003,13:29, ,1177-04775,RT,A,,366,945,25.3,27.2,199,205,,,2,0 +902,11,18,2003,13:45, ,1177-04776,RT,A,,402,1350,28.7,31,219,214,,,3,0 +903,11,18,2003,14:07, ,1207-53144,RT,I,,366,805,23.5,25.7,217,222,,,1.5,0.25 +904,11,18,2003,14:44, ,1177-04777,RT,I,,380,1525,26,27.6,224,227,,,3,0 +905,11,19,2003,10:18, ,803-05985,SS,I,F,190,175,12.7,15.4,150,153,,,4,0 +906,11,19,2003,12:02, ,1807-53145,RT,I,,360,790,21.9,27.6,211,215,,,2,0 +907,11,20,2003,9:56, ,1177-04778,RT,I,,369,860,25.2,28,207,210,,,2,0 +908,11,20,2003,13:30, ,1207-53145,RT,A,,199,1290,28.7,32.1,222,226,,,1,0