diff --git a/doc/source/getting_started.rst b/doc/source/getting_started.rst index 048623d9..cd491642 100644 --- a/doc/source/getting_started.rst +++ b/doc/source/getting_started.rst @@ -15,33 +15,35 @@ Coba can be installed via pip. Coba has no hard dependencies, but it does have optional depdencies for certain functionality. +Coba will let you know if a dependency is needed, so there is no need to install things upfront. + The examples contained in the documentation use the following optional dependencies. .. code-block:: bash - $ pip install matplotlib pandas scipy numpy vowpalwabbit + $ pip install matplotlib pandas scipy numpy vowpalwabbit cloudpickle -About Contextual Bandits -~~~~~~~~~~~~~~~~~~~~~~~~ +Contextual Bandits +~~~~~~~~~~~~~~~~~~ A contextual bandit (sometimes called a contextual multi-armed bandit) is an abstract game where players repeatedly interact with a "contextual bandit". In each interaction the contextual bandit presents the -player with a context and a choice of actions. The player must then choose to play one action from the -set of presented actions. +player with a context and a choice of actions. + +The player must choose an action to play from the set of presented actions. If the player chooses well +the contextual bandit gives a large reward. If the player chooses poorly the contextual bandit gives a +small reward. The player only observes the reward for the action they chose. -If the player chooses well the contextual bandit gives a large reward. If the player chooses poorly the -contextual bandit gives a small reward. The player only observes the reward for the action they choose. The player's goal is to earn as much reward as possible. To succeed players need to learn what actions give large rewards in what contexts. This game is of interest to researchers because it ammenable to mathematical analysis while also being applicable to many real world problems. -About Contextual Bandit Learners -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Contextual Bandit Learners +~~~~~~~~~~~~~~~~~~~~~~~~~~ Contextual bandit learners are machine learning algorithms that have been designed to play contextual bandits. -They should be used to solve problems with partial feedback. Partial feedback is common in the real world where -we can observe the result of what we chose to do but don't know what would have happened had we done something -else. +They are particularly good at solving problems with partial feedback. That is, problems where we can observe +the consequence of an action but don't entirely know what would have happened had we done something else. About Coba ~~~~~~~~~~ @@ -51,11 +53,11 @@ coba supports two use cases. One, evaluating a contextual bandit learner on *many* contextual bandits. This is useful for algorithm researchers who want to broadly evaluate a contextual bandit learner's capabilities. Coba achieves this by creating contextual bandits from the -many real-world supervised datasets hosted on openml.org. +hundreds of real-world supervised datasets hosted on openml.org. Two, evaluating *many* contextual bandit learners on a particular contextual bandit. This is useful for application -researchers who are trying to solve a specific use-case. Coba achives this by providing robust implementations of -well-known algorithms behind a common interface. +researchers who are trying to solve a specific use-case. Coba achieves this by providing robust implementations of +well-known algorithms behind a common interface. Key Concepts ~~~~~~~~~~~~ @@ -68,15 +70,17 @@ Key Concepts 3. Learner -- A player in a contextual bandit game. 4. Evaluator -- A method to evaluate how well a Learner plays an Environment 5. Experiment -- A collection of Environments, Learners, and Evaluators. - 6. Result -- Data generated when Learners were evaluated playing an Environment. + 6. Result -- Data generated when an Experiment Evaluates Learners in an Environment. Knowing these concepts can help you find help and perform advanced experiments. -The core concepts help in finding more information about Coba. For example, all built-in learners can be -found at :ref:`coba-learners`. Help with creating environments can be found at :ref:`coba-environments`. The -types of evaluation that coba supports out of the box can be found at :ref:`coba-evaluators`. The various ways -an experiment can be configured is described at :ref:`coba-experiments`. And details regarding analysis -functionality can be found at :ref:`coba-results`. +Knowing the key concepts makes it easier to find help and information about Coba. +For example, notebooks for each of the six key concepts are available under Basic Examples on the left. +All built-in learners can be found at :ref:`coba-learners`. +All environments and their filters can be found at :ref:`coba-environments`. +The types of evaluators that coba supports out of the box can be found at :ref:`coba-evaluators`. +The various ways an experiment can be configured is described at :ref:`coba-experiments`. +And details regarding analysis functionality can be found at :ref:`coba-results`. Next Steps ~~~~~~~~~~ diff --git a/doc/source/notebooks/First_Algorithm.ipynb b/doc/source/notebooks/First_Algorithm.ipynb index 414c74eb..62504ce9 100644 --- a/doc/source/notebooks/First_Algorithm.ipynb +++ b/doc/source/notebooks/First_Algorithm.ipynb @@ -7,7 +7,7 @@ "source": [ "# First Algorithm\n", "\n", - "This notebook introduces basic Coba functionality for contextual bandit learner (algorithm) research.\n", + "This notebook introduces basic Coba functionality for contextual bandit learner research (i.e., algorithms).\n", "\n", "## Creating a Learner\n", "\n", @@ -15,34 +15,30 @@ "\n", "```python\n", "class Learner:\n", - "\n", " @property\n", " def params(self) -> Dict[str,Hashable]:\n", " \"\"\"(Optional) Return the hyperparameters for the learner.\"\"\"\n", - "\n", " def score(self, context: Context, actions: Sequence[Action], action:Action) -> float:\n", " \"\"\"(Optional) Return the propensity score for the given action.\"\"\"\n", - "\n", " def predict(self, context: Context, actions: Sequence[Action]) -> Action | Tuple[Action,float]:\n", " \"\"\"Choose which action to take.\"\"\"\n", - "\n", " def learn(self, context: Context, action: Action, reward: Reward, probability: float, **kwargs) -> None:\n", " \"\"\"Learn from the results of an action in a context.\"\"\"\"\n", "```\n", "\n", - "For example, below we define a new learner that we will evaluate in this notebook." + "For example, below we define a new learner that we call `MyRandom` which we will demonstrate how to evaluate in this notebook." ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 4, "id": "a2d28943", "metadata": {}, "outputs": [], "source": [ "import coba as cb\n", "\n", - "class MyRandomLearner:\n", + "class MyRandom:\n", " def __init__(self,seed):\n", " self._rng = cb.CobaRandom(seed)\n", " @property\n", @@ -61,7 +57,7 @@ "id": "9abb0ffd", "metadata": {}, "source": [ - "## Debugging our Learner" + "## Validating MyRandom" ] }, { @@ -69,22 +65,21 @@ "id": "c2140211", "metadata": {}, "source": [ - "Once we have a learner defined we can use Coba's synthetic datasets and baseline learners to make sure our learner is working as expected.\n", - "\n", - "+ We create a simple environment with a linear reward function and a single context feature.\n", - "+ We include in our evaluation a RandomLearner, which a learner should beat if it learns anything\n", - "+ And we include a BanditUCBLearner, which we should beat if our learner is using the context features." + "Using Coba's synthetic datasets and baseline learners we can quickly validate that our learner is working as expected. To do this:\n", + "+ We create a simple linear environment with a single context feature.\n", + "+ We compare our learner's performance to a RandomLearner (learners learning anything should beat this)\n", + "+ We compare our learner's perofmrnace to a BanditUCBLearner (learners using context features should beat this)" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "id": "7945be28", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -96,8 +91,8 @@ "source": [ "import coba as cb\n", "\n", - "env = cb.Environments.from_linear_synthetic(n_interactions=100, n_context_features=1, n_action_features=0, n_actions=5,seed=3)\n", - "lrn = [cb.RandomLearner(), cb.BanditUCBLearner(), MyRandomLearner(seed=2) ]\n", + "env = cb.Environments.from_linear_synthetic(n_interactions=100, n_context_features=1, n_action_features=0, n_actions=5, seed=3)\n", + "lrn = [cb.RandomLearner(), cb.BanditUCBLearner(), MyRandom(seed=2) ]\n", "\n", "cb.Experiment(env,lrn).run(quiet=True).plot_learners()" ] @@ -107,22 +102,24 @@ "id": "ab74641d", "metadata": {}, "source": [ - "These results seem a little odd given that `cb.RandomLearner` is doing about as well as `cb.BanditUCBLearner` and our learner is doing the worst.\n", + "We expected `MyRandom` to perform the same as `cb.RandomLearner` and worse than `cb.BanditUCBLearner`.\n", "\n", - "To make sure this result isn't due to chance we can increase the interaction count of our environment. This will give the learners more time to learn. \n", + "What we actually see above is that `MyRandom` did worse than both `cb.RandomLearner` and `cb.BanditUCBLearner`.\n", "\n", - "We can also add multiple random permutation of our environment to the experiment which will allow us to plot confidence intervals." + "It seems plausible that `MyRandom` is doing worse due to chance. We make two changes to our experiment to rule this out:\n", + "1. We set `n_interactions` to `500` instead of `100`. This will give `cb.BanditUCBLearner` more time to learn.\n", + "2. We add `shuffle(n=10)` to our environment to create 10 shuffled copies. This is the coba equivalent of `sklearn.model_selection.RepeatedKFold`.\n" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 8, "id": "c2fc8aa0", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -134,14 +131,11 @@ "source": [ "import coba as cb\n", "\n", - "#Increased the number of interactions from 100 to 500\n", - "env = cb.Environments.from_linear_synthetic(n_interactions=500, n_context_features=1, n_action_features=0, n_actions=5,seed=3)\n", - "lrn = [cb.RandomLearner(), cb.BanditUCBLearner(), MyRandomLearner(seed=2) ]\n", - "\n", - "#Replicating our environment 10 times where the only difference between replications is the interaction order\n", - "env = env.shuffle(n=10)\n", + "#Increased the number of interactions to 500 and created 10 shuffled copies of our environment\n", + "env = cb.Environments.from_linear_synthetic(n_interactions=500, n_context_features=1, n_action_features=0, n_actions=5,seed=3).shuffle(n=10)\n", + "lrn = [cb.RandomLearner(), cb.BanditUCBLearner(), MyRandom(seed=2) ]\n", "\n", - "cb.Experiment(env,lrn).run(quiet=True).plot_learners(err='se')" + "cb.Experiment(env,lrn).run(quiet=True).plot_learners(err='bs')" ] }, { @@ -149,9 +143,11 @@ "id": "db19e0b2", "metadata": {}, "source": [ - "Ok, now we see that \n", - "+ `MyRandomLearner` (defined in this notebook) is performing similarly to the baseline `cb.RandomLearner`. \n", - "+ `cb.BanditUCBLearner` is learning a more effective strategy than randomly picking actions." + "With those two changes we now we see what we expected: \n", + "+ `MyRandom` is performing similarly to `cb.RandomLearner`. \n", + "+ `MyRandom` is performing worse than `cb.BanditUCBLearner`.\n", + "\n", + "This outcome is merely meant as an example. In practice, had `MyRandom` been an actual contextual bandit algorithm it should have beaten both `cb.RandomLearner` and `cb.BanditUCBLearner`. To demonstrate how a real contextual bandit algorithm performs we repeat example using `cb.VowpalEpsilonLearner` instead of `MyRandom`." ] }, { @@ -163,18 +159,18 @@ "\n", "The toy learner we made above obviously wasn't going to do well since it just randomly selected actions. \n", "\n", - "How about if we include a real linear contextual bandit learner? Does it outperform both the `cb.RandomLearner` and `cb.BanditUCBLearner`?" + "How about if we use a real linear contextual bandit learner? Does it outperform both the `cb.RandomLearner` and `cb.BanditUCBLearner`?" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 9, "id": "ecb0ecdf", "metadata": {}, "outputs": [ { "data": { - "image/png": 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bCwD2exIQEIDIyEh7sLJt2zYMGjQIgwcPRmpqKhITE/H333/DZrM5VL5LSkowd+5c+/gaX19f+Pn5IT8/v8pruPgzK/v8IyMjHbar1Wq0adPmsvegjLhoPFVtlAVhVa39UZvB75GRkYiNja30qjiuBgBat25d6VgvLy+H8VHdu3dHhw4d7N8jQA6EfX19azSw/OL7DMj3OioqqtL2i38XqytnWZBYsZwAEBISUmm2Lg8Pj0rd/8oC0rLjs7KykJ+fj48//rjS93Py5MkAyr+ftS1TVZ577jm4urqib9++iIyMxPTp06vtJlb2feIsZERE1FxxDEwN9O3bt9IYgYtptVooFI0XD15csbTZbJAkCevXr69yZqayvvAAsHDhQkyaNAlr167F77//jieeeAILFizArl27EBISAicnJ/z111/YvHkzfvvtN2zYsAGrVq3CDTfcgN9//73amZ+Cg4MxaNAgrF69Gi+88AJ27dqFs2fP4s0333QoJwC8/fbb6NGjR5X5VCxrdcoqzABw6623QqlU2tc9KfusbDYbbrzxRjz77LNV5tG+fXv7zwMHDkRcXBxKSkqwb98+zJ07F126dIGnpye2bduG48ePw9XV1WFa4McffxzLly/HrFmzEBMTAw8PD0iShHHjxlUZ7NX3TFje3t6QJKlGFdjqBAUFAZDXjblYWloagoOD65x3Var77lwchI0dOxavvfYasrOz4ebmhp9//hnjx493GE9Tnfq4zzUtZ3XpLnd82ffjvvvuqzTWp0zZ2KvalqkqHTt2RHx8PH799Vds2LABP/zwAz788EPMnTsX8+fPd0ibl5cHZ2dnztxGRETNFgOYBhQWFoY//vgDhYWFDq0wJ06csO8v+9dmsyEpKcnhafzFsx5dStu2bSGEQEREhEPFvDpdu3ZF165d8Z///Ac7duzAgAEDsGTJErz66qsAAIVCgWHDhmHYsGFYtGgRXn/9dbz44ovYvHmzPXCoytixY/HYY48hPj4eq1atgrOzM0aNGuVQTgBwd3e/ZD619eKLL+KTTz7Bf/7zH3uXvLZt26KoqKhG5xk0aBCWL1+OlStXwmq1on///lAoFBg4cKA9gOnfv79DJfL777/HxIkTsXDhQvu20tJS5Ofn16jMZZ//qVOnHFoWzGYzkpKS0L1790ser1Kp0LZtW/tseHXRpUsXqFQq7N2712EqZpPJhIMHD1aanrmxjB07FvPnz8cPP/yAgIAA6PV6h65atRUWFob4+PhK2y/+XWwsfn5+cHNzg9Vqrdffg0u1mri4uGDs2LEYO3YsTCYT7rzzTrz22muYM2eOw5ToSUlJ9pYpIiKi5ohdyBpQ2UKL//d//+ew/X//+x8kScLIkSMBwN4d7eL1S95///0an+vOO++EUqnE/PnzKz2RFUIgJycHgDxtrsVicdjftWtXKBQKezei3NzcSvmXtZZU1dWoorvuugtKpRLffvstvvvuO9x6660O651ER0ejbdu2eOedd6pc6T0rK+vyF1sFT09PPPzww9i4cSMOHjwIQJ4ZbefOndi4cWOl9Pn5+Q73oaxr2Jtvvolu3brZu/wMGjQIcXFx2Lt3r0P3MUB+In7xvX7//fcrdWWrTu/eveHn54clS5bAZDLZt69YsaLGQVBMTAz27t1bo7RV8fDwQGxsLL766isUFhbat3/55ZcoKiq65PoxDaljx47o2rUrVq1ahVWrViEoKAiDBw+uc34333wz/vnnH4cFPQ0GAz7++GOEh4dXGqvT0JRKJe666y788MMPOHLkSKX9df09cHFxqbL7YtnvfxmNRoNOnTpBCAGz2eywb//+/ejfv3+dzk9ERNQY2ALTgEaNGoWhQ4fixRdfRHJyMrp3747ff/8da9euxaxZs+ytEdHR0bjrrruwePFi5OTk2KdRPnnyJICa9UVv27YtXn31VcyZMwfJycm4/fbb4ebmhqSkJPz444+YNm0ann76afz555+YMWMGxowZg/bt28NiseDLL7+0V6gA4OWXX8Zff/2FW265BWFhYcjMzMSHH36IkJAQh0HQVfH398fQoUOxaNEiFBYWVhp0rVAo8Omnn2LkyJHo3LkzJk+ejFatWuH8+fPYvHkz3N3d8csvv9TldmPmzJlYvHgx3njjDaxcuRLPPPMMfv75Z9x66632qXoNBgMOHz6M77//HsnJyfD19QUgjzcKDAxEfHy8w+QJgwcPxnPPPQcAlQKYW2+9FV9++SU8PDzQqVMn7Ny5E3/88YfD9NqXolar8eqrr+Lhhx/GDTfcgLFjxyIpKQnLly+v8RiY2267DV9++SVOnjxZqeWtrDXt6NGjAOSgZPv27QCA//znP/Z0r732Gvr3748hQ4Zg2rRpSElJwcKFC3HTTTdhxIgRNSrH/v378dVXX1Xa3rZtW8TExNQoj4uNHTsWc+fOhU6nw5QpU66oi+bzzz+Pb7/9FiNHjsQTTzwBb29vfP7550hKSsIPP/zQqN0/y7zxxhvYvHkz+vXrh6lTp6JTp07Izc3F/v378ccff1T5IOFyoqOjsWrVKsyePRt9+vSBq6srRo0ahZtuugmBgYEYMGAAAgICcPz4cfzf//0fbrnlFofW4X379iE3N9c+6QYREVGz1OjznrUgZdO07tmz55LpJk6cKFxcXKrcV1hYKJ588kkRHBws1Gq1iIyMFG+//bbDFMJCCGEwGMT06dOFt7e3cHV1FbfffruIj48XAMQbb7xhT1c2jXJ1Uxz/8MMPYuDAgcLFxUW4uLiIDh06iOnTp4v4+HghhBCJiYniwQcfFG3bthU6nU54e3uLoUOHij/++MOeR1xcnLjttttEcHCw0Gg0Ijg4WIwfP95hOuKqplEu88knnwgAws3NTZSUlFRZzgMHDog777xT+Pj4CK1WK8LCwsQ999wj4uLiqr7JF5337bffrnL/pEmThFKptE9RXVhYKObMmSPatWsnNBqN8PX1Ff379xfvvPOOMJlMDseOGTNGABCrVq2ybzOZTMLZ2VloNJpK15KXlycmT54sfH19haurqxg+fLg4ceKECAsLExMnTrSnu9z36MMPPxQRERFCq9WK3r17i7/++ksMGTLkstMoCyFPL+zr6yteeeWVSvtwiemNL7Zt2zbRv39/odPphJ+fn5g+fbrQ6/WXPf/lplGueB/CwsLELbfcUimP6q711KlT9ny2b99eaX910yhXdQ4hhDh9+rS4++67haenp9DpdKJv377i119/dUhTNmXxxdOMV/V9HzJkSJVTE1dXBgBi+vTpDtsyMjLE9OnTRWhoqFCr1SIwMFAMGzZMfPzxx3UqU1FRkbj33nuFp6enAGCfUnnp0qVi8ODB9t+3tm3bimeeeUYUFBQ45Pncc8+J1q1bV/r/iYiIqDmRhLiCKYyoQR08eBA9e/bEV199hQkTJjR1caiZeuWVV7B8+XKcOnWq2oHeRJdjNBoRHh6O559/HjNnzmzq4hAREVWLY2CaiarW21i8eDEUCsUV9f2nq9+TTz6JoqIirFy5sqmLQi3Y8uXLoVarK60xRURE1NywBaaZmD9/Pvbt24ehQ4dCpVJh/fr1WL9+PaZNm4alS5c2dfGIiIiIiJoFBjDNxKZNmzB//nwcO3YMRUVFaN26Ne6//368+OKLNVr7goiIiIjoWsAAhoiIiIiIWgyOgSEiIiIiohaDAQwREREREbUYHFxRBZvNhtTUVLi5udVoEUkiIiJqekIIFBYWIjg4uEkWqCWixsEApgqpqakIDQ1t6mIQERFRHZw7dw4hISFNXQwiaiAMYKrg5uYGQP4P0N3dvYlLQ0RERDWh1+sRGhpq/ztORFcnBjBVKOs25u7uzgCGiIiohWH3b6KrGzuIEhERERFRi8EAhoiIiIiIWgwGMERERERE1GIwgCEiIiIiohaDAQwREREREbUYDGCIiIiIiKjFYABDREREREQtBgMYIiIiIiJqMRjAEBERUZXWJa5rUfkS0bWBAQwREVEjaImV9vVJ61tUvkR0bWAAQ0R0DWvISnVLzLshy9xQlfaWGBgREV0JBjBERC1AQ1VSG/JJeEvMuyW2DLTEMhMRXQkGMERELQArqURERDIGMETULLH7EREREVVF1dQFICKqyvqk9bi5zc0tKu+GLDNRU7PYLNCb9DBZTSi2FEOr1MJsNcNV44r80nwEuwbDWe0Ms9WMAlMBDGYDisxFMJgM0Cg1kCQJhaZClFhKkG5Ix7GcY+jk06mpL4uIWiAGMERUZ+sS17HCfo2x2CwQEFAr1E1dlGar1FKKEksJSiwlKDQVwiIsCHENgcVmkSv/5mKkGlJxvug8JEgw28wIdQtFe6/2SClMwbnCcyi2FMNoNcJN7YbBoYMd7rfFZkG+MR85JTkQEBBC2PeZrCZkFGcguyQb3jpvOciwmWGxWewvtUKNrJIsFJoKoZAUkCQJVpsV+cZ8CCGQZ8zD0eyjSDWkIqUwBff8cg/yjfnILM6EVVirvW61Qg2tUosic1GN7tMfZ/5gAENEdcIAhuga0FCBBlscmo8SSwkS8hJgERZolBp4a71RZC5CvjEf6YZ0+Oh8EBMcA0mSHI4TQqDYXIzEgkQ4q5zRxrMNACC3NBdHso/gXOE5nMg9gX+z/kVuaS4KjAUAABe1C7RKLSRIUEgK+8tL54UuPl0Q6haKInMRjmYfhd6kR3ZJNkosJcgpzYGHxgPhHuG4Lug6KCQFhBCw2CwwWo2wCitc1a4othRDo9TAYDZAKSlhspqQXZKNrJIs5JTk4Iz+DN7d/y6UkhI5pTnILsmGq9oVAc4BUEgKGK1G6FQ6uKnd4KpxhavGFW5qNygkBaK8o+Ct867yPgohYDAboDfqkVGcgVJrKWw2G6zCCpuwodRairzSPOSV5iGnNAe5pbn2+6I36lFgKoDRaqz2c4r+KrrWn62zyhluGjcUm4thERaUWEoc9jupnDDu13FIN6QjpzSn1vlfzvHc4w7vlZISOpUOJqvJ/hmpJBXMNjPMNjMAQIIEF7ULnNXOcFG7wGQ1AQBc1a5wVjsjuSAZoW6h9V5WIro2MIAhqqWW2OrAQOPqklOSg9SiVCTkJ+Bw9mEczj6MU3mnLvl0HAC8tF5wUjmh1FoKo9UIo9UIi82Cft/0s6cJdw+H2WbG+aLzl8zLYDbAYDZU2p5mSMOxnGP29+N+G1dtHmUBkNFqhEB5K4IEyeF9dT49/Oll01TFVe2KkREjYRM2FJuLkaxPht6kR6GpEHqTHtd9c12d8r2YSqGCp9YTAJBdku2wz13jjgiPCCgkBWzChuM5x2GymeCsckaYexjcNG5QKVQ4mnMUBcYCFFuKHY5XSAp4aDyQZ8xDiaUER3OO2vdplVr46HyQU5oDq7BCrVBDJamgUsivEksJ3DXuCHINghACNmGDJEnw1HpCggQvnRdC3ULR0bsjPjz4IaZ1nyandwmCr5OvvdVGCAFJkuTjISGxIFEOYrVecNO4QalQVntvHo97HHdE3lEv95mIrj0MYIhqicEA1TerzYrUolQ4qZ3gofVAbkkuTuSeQHZJtr3l4nD2Ydy/7n5kFGcgzZBWZT7eOm+4ql1RYilBXmke3DRu8NB6wE3jhoT8BOQZ85BnzLtkWZL1yfaf23q0RYRHBELcQtAvqB8CnQPhpfOCQlKgwFgAs80Mm7BBQK4EW21WHMg8gFP5p3Ao6xDO6M/A18kXbho3+Dr5yhVrJx/kl+Zjd/ruKgMgAFUGLwpJAW+dN3ydfOHr5IuEvAQMCxsGs9UMXydf+DjJFXa9UQ+bsEGj1KDEUiKPwzAVodBciCJTEVINqSg0FeK7k99d8j6oJBX8nP3gonaBUlJCISmglJRy65bOG146L3jrvO0vT50nPDQe8NDKL51SB0mSW6cAIL80H3O2zcEbg9+As9q5Uhe8UoscVLpr3B1ayUotpTijPwOLzQInlRPUSjWcVc7w1HpCqVDinP4cZm2Zhek9piPQJRCBLoHw0npVammrq29PfIvBIYOr3Fd2jrJrbOvZtl7OSUR0OQxg6KrUEltJWmKZmzOrzXrJJ8ANck5hRXxuPEosJXLlFQooFApYbVakFKbgbOFZ5JbmQikpkVqUiiM5R2C1WVFsKa7ULagqZd2DJEjwc/ZDa7fW6OrbFV18u6CbXzcEOAdUW3Eta2koq9zrlDpolBq89PdLWDR0EXQqHZILkpFSlAJXtSsiPCLgpfOqtizV7evq19X+8+Nxj+P9Ye9XW5704nRolVpolVpolBpolVoAQF5pHjy1njDbzHBSOcEmbFBICqgUKoe8n+/7/KVvWBXMNjN+SvgJWcVZUClU0Cg0aO3eGt46b7hp3PDmP2/i3RvetQcg9cVT5wmVQgUPrUeV+3UqHXQqXZXbo7yjqs031D0UwS7BuKH1DfVWViKi5o4BDF2VWmIrSUssc30qMBYgozgD7b3aV5vGJmyw2CxyX3urGaXWUhzMPIgkfRKclE7IM+bheM5xJOuTkWZIg5vGDd46bzirnKFSqDAoZBDuirzLYdCzEAJ6kx7phnQAcves9OJ0BLsGw2A2QK1QQ6fUodRainOF56CSVLDBZm8dySrOQnZJNgpNhUg1pGLb+W11un61Qm0fIA8AUV5RCHQJhI+TD3RKHXan7caMnjPgofVAJ59OcFG71Cp/Z7VzlQOm1Uo1nNXOAIA2nm3sY2AamrPaGW08qj5XoEsgAECHyhX6K6VWqDGm/Zhq92uVWjipnOr9vEREVH8YwBBRoztfdB5bz23Fvox9OJ57HCarCTmlObDYLOjl3wtuGjfE58ZjdfxqlFhKoDfpcST7CHal7YJN2Gp8nkJTIQpNhfb3h7MP48ODH0KChJu+vwlapRYZxRk1av2oKXeNOzy1nrAJm/yCPD4gyCUIrd1bw8/JDzZhkwe7+3aBq9oVWqUWIW4hkCBPMytJUqUn9Y/HPY7YsNh6KycREVFLxQCGiK6Y1WZFVkkWcktzkVeah3xjPgKcAxDiFoL9GfuRkJ8AXydf5Bvz8efZPxGfF19tXvsz99t/fmXXK5c8r0JSINw9HD39e6LEUgJXtSs6+nREmHsYwtzDUGQqQk5pDkotcuvJtye+xdnCs7AJW6VxJGXjBjy1nvDUeiJZn4xAl0BIkFBqKYVKoUIr11awCitUChV8nXzh5+Qn/+vsB3eNO97b/x4+G/7ZFXU98tR51vlYIiKiawEDGGoyHPPRspUFB/N3zseWc1sqzbJ0KQpJgV7+vdA/uD+6+XWDq8YVTionCCGwO203BARWHFmBKO8oeQpctStaubbC4JDBCHAOgFopz6p0uTEu/s7+aIPybkr3drwXFpsFj256FDN6zYDJaoK/sz8CnAOqHH9QWy5ql3odN0FERESVMYChJnOtj/loTEIIpBWl4UjOEZzRn7H38Y9wj4BFWNDGow0CnANQbClGZnEmPLQeOKM/g5TCFBitRhSZi7AtZZs8BkShcpjW9XD2YQDyrE1eOi946bzgrnHH+aLzSDOkIdIrEt18u6HAWACFpMDgkMEYHDK42kHgZTMZ7UrdVe0A8CuhUqigU+nQ3a97vedNdLUZGTGyReVLRNcGBjBEV5myFbUlSUJqUSq+Ov4VtqVuw00/3FTv51Ir1Lgr8i4MChmEmKAYqJWOU8OareZK24jqQ0usALfEYKChHjLx4RURXQkGMEQtkMlqwuHsw0gtkte0CHULhSRJSMhLwDcnvqlynRClpESkVyQiPCJgtppRYi1BhiEDVmFFUkGSPZ2TygkllhIEuwQjwjMCzipnaJQatPNsh5igGFiFFe4ad/g7++O5v57Di9e9WG05Gbw0fw1Z+W2JFeuWWGYGA0R0rWEAQ3QZVpsVvyX9hh9O/oBRbUc1+vlNVhNO5p3EnvQ9+CXxF2QWZ8JoMaLUWnrZY13ULujl3wsGkwHLRiyrdsxIalEqJEjwdvKGVqmFyWqCRqmp70uhZqghK78tsWLdEstMRHStYQBDVI0CYwE2n9uMFUdW4HTBaQDAoaxDaO3eGhPWTYCT0gkDWg3AfZ3uq7Sqdm3OEZ8bj/TidKQb0vH01qdxVn8WJqsJaYY0+7onFmGpdKyPzgeRXpHQKXVI0idBp9TBSeWEUW1HYVTbUVAr1PaF/x6Pe/ySA96DXYMd3jN4aX5aYpcpIiKihsAAhq4pBrMBqUWpiPSKBCCvyr03fS+KzEXoG9gXHloPHM05il9P/4qfT/8MvUkPQF7bw13jjpSiFCQWJNrz252+Gz8l/ISnej+FwSGDL3lum7Dht8TfsOXcFkiShMSCRJzKO+WQ5kTeiSqP9dZ5I8Q1BHdE3oEO3h2gU+rQ1rMtZ7y6hrBlgIiISMYAhq5apZZSrDyxEucKz6HUWgp3jTs2JG9Adkk2BgQPgJ+zH7ae24o8Y579GE+tJ/KN+fb3rd1aY1TbUZjQcQJO55/Go388CoPZgNva3QY/Jz98cvgTJBYkYnrcdKwZvcYeGJXJK83DD6d+wOZzm5FUkOSwqGKZVq6tEOoWiuM5x3Fd8HW4PvR6eOu8EeQSBK1SCwAIcglisNICsJWEiIio4TV5APPBBx/g7bffRnp6Orp37473338fffv2rTZ9fn4+XnzxRaxZswa5ubkICwvD4sWLcfPN8tPJl156CfPnz3c4JioqCidOVP1km64+BcYCJBUk4c6f78S5wnNVpvk79W/7z946bwBAbmmuPXjpH9wf14dej7si77J3p+rh3wM7xu/AjLgZeGWAvMCih9YD7+x9BwBw5893oqN3RwDygHmFpMDRnKOwCqv9XE4qJ0zoOAFOKieEuoWiX1A/+/kfj3sc7wx5px7vRMvWEgeXs5WEiIio4TVpALNq1SrMnj0bS5YsQb9+/bB48WIMHz4c8fHx8Pf3r5TeZDLhxhtvhL+/P77//nu0atUKZ86cgaenp0O6zp07448//rC/V6maPE6jRiCEwOr41XjvwHv2rl+eWk/cE3UPdEodMosz0d67Pbr4dMFPCT+h1FqKG8NuxHVB18FsM2NX6i546jzho/Oxz+p1MUmSoJAU9vcTO09Ed7/uuH/9/QCA47nHKx3TyacT7ml/D9p5tUOYWxhXWq8hDi4nIiKiqjRpzX7RokWYOnUqJk+eDABYsmQJfvvtNyxbtgzPP/98pfTLli1Dbm4uduzYAbVaHjQdHh5eKZ1KpUJgYGCDlp0ank3YsP38dnx86GNkFmfis+GfIdQttFK6jw99jKX/LoVaqYbBbAAAuKhc8GzfZzEkZAh8nHwqHdPRp6PDe5VChaGth9apnD38e+ClmJdQYCpAO892kCDBYrOg0FyIXv69EOIWUqd8iYiIiKiyJgtgTCYT9u3bhzlz5ti3KRQKxMbGYufOnVUe8/PPPyMmJgbTp0/H2rVr4efnh3vvvRfPPfcclMryGZZOnTqF4OBg6HQ6xMTEYMGCBWjdunW1ZTEajTAajfb3er2+Hq6Q6iq7JBu/nP4FHx/6GEXmIvv2dYnr8HD3hwEAaUVpiDsbh01nNmF/5n4AgMlmgkpSYVb0LOxJ24M7I+9stDLf1f6uRjtXc8IxH0RERNTYmiyAyc7OhtVqRUBAgMP2gICAaserJCYm4s8//8SECROwbt06JCQk4LHHHoPZbMa8efMAAP369cOKFSsQFRWFtLQ0zJ8/H4MGDcKRI0fg5uZWZb4LFiyoNG6GGl+JpQQfHPgAXx7/EjZhAwCoJBUUkgImmwm70nbhuuDrsHDvQhzIPOBw7MROEzGq7Sj4O/vDS+eFvel7m+ISrjnsikVERESNrUUNDrHZbPD398fHH38MpVKJ6OhonD9/Hm+//bY9gBk5svyJcLdu3dCvXz+EhYVh9erVmDJlSpX5zpkzB7Nnz7a/1+v1CA2t3FWJ6o/FZkGJpQQWmwUqhQp70vfgpR0v4WzhWQDyrFv3RN2DiZ0m4nzReYz6aRT2ZuzFfevuAwBIkNAroBdiW8fihtY3VFrHhIiIiIiuTk0WwPj6+kKpVCIjI8Nhe0ZGRrXjV4KCgqBWqx26i3Xs2BHp6ekwmUzQaCovvufp6Yn27dsjISGh2rJotVpotdo6XsnVb13iunp90p5YkIjZm2fjdMFpDF41GB4aD6QUpQAA/J39MS9mnsOaKmHuYWjl2grni84DAG5vdzse7/k4/J0rT/RAVWNXLyIiIrpaKC6fpGFoNBpER0cjLi7Ovs1msyEuLg4xMTFVHjNgwAAkJCTAZrPZt508eRJBQUFVBi8AUFRUhNOnTyMoKKh+L+Aasj5pfb3lZbKa8NSWp+wr2xeaCpFSlAKFpMDYqLH46bafKi0IKUkSFg9djOf7Po81o9fglQGvMHipJXb1IiIioqtFk3Yhmz17NiZOnIjevXujb9++WLx4MQwGg31WsgceeACtWrXCggULAACPPvoo/u///g8zZ87E448/jlOnTuH111/HE088Yc/z6aefxqhRoxAWFobU1FTMmzcPSqUS48ePb5JrpHJmmxlPb30aCfkJ8NZ5o71newxtPRRHc45iYueJaO/VvtpjO3h3QAfvDo1YWiIiIiJqjpo0gBk7diyysrIwd+5cpKeno0ePHtiwYYN9YP/Zs2ehUJQ3EoWGhmLjxo148skn0a1bN7Rq1QozZ87Ec889Z0+TkpKC8ePHIycnB35+fhg4cCB27doFPz+/Rr8+crT036XYfG4zNAoN3hj0Br45/g3u7XhvUxeLiIiIiFqQJh/EP2PGDMyYMaPKfVu2bKm0LSYmBrt27ao2v5UrV9ZX0aie6E16/Hr6V3x6+FMAwGsDX0NMcAy+Of5NE5eseeE4FSIiIqLLa/IAhq5uBcYC3LH2DmSVZAGQB+CPiBjRxKVqnjhOhYiIiOjyGMBQg3pv/3v24OW+jvfhqd5PNXGJrhxbSoiIiIiaDgMYajBxZ+Ow+uRqAMCy4cvQJ7BPE5eofrClhIiIiKjpMIChBrFo7yIsP7ocADA2auxVE7wQERERUdNqsnVg6Or17Ylv7cHLLW1uuSq6jRERERFR88AWGKo3O1N3YuHehYjPiwcATOs2DY/3fLxJysJxKkRERERXJwYwVC/+OPMHntzyJABArVDjsR6P4cEuDzZZeThOhYiIiOjqxACGrtj5ovOYv3M+AGBUm1F4ru9z8NB6NHGpiIiIiOhqxACG6sQmbJi/cz62n9+OQlMhSiwl6OjdEfP7z4daqW7q4hERERHRVYoBDNXJtye+xZpTa+zvw93D8X/D/o/BCxERERE1KAYwVCNn9Gfwzt53MLXrVGSXZOPtPW8DAGb2mokhIUMQ7hEOtYLBCxERERE1LAYwVCNPbnkSp/JOYcu5LVAr1LAKK0a3HY0pXaZAkqQ65cmZwoiIiIiotrgODF2WwWzAqbxT9vdmmxmxrWMxv//8OgcvAGcKIyIiIqLaYwBDl3Qg8wD2Z+6vtP31Qa9DpWADHhERERE1LgYw5CDdkI6/z/9t/3l63HRYhRU9/Xtifv/5iPCIwKc3fQonlVMTl5SIiIiIrkV8hE52FpsF434dh5zSHCwbvgzfnvgWhaZCuKndsPTGpXBSOeHOyDubuphEREREdA1jC8xVYl3iuivOY23CWuSU5gAAXt75Mjad2QSlpESUVxRbXIiIiIioWWAA04heXvI6ej3/DR5789V6z3t90vo6H3sw8yBG/TgKL+18yb4tWZ8MABjfYTxcNa5XWDoiIiIiovrBAKYRGc025MIDJea6z9zVED44+IE9YOnl38u+3UPrgcd6PNZEpSIiIiIiqowBTCNSKOTbLSCauCTlkguSsSttFwBg4ZCFWD5iOa4Lug7uGnd8cuMncNO4NXEJiYiIiIjKcRB/I1JIcgBjaybxS1pRGh5Y/wAAoH9wf9wUfhMAYOmNS2G0GjnuhYiIiIiaHbbANKKyAEaI5hHBrD29FnnGPIS7h+O/1/3Xvl0hKRi8EBEREVGzxACmESntXciah63ntgIAJneZjBC3kCYuDRERERHR5TGAaURKhRIA0BwaYDIMGTiScwQAMKjVoCYuDRERERFRzTCAaURKexeyJi4IgPcOvAdAnnXMz9mviUtDRERERFQzDGAaUdksZLYmLseBzAP4+fTPkCDh6d5PN3FpiIiIiIhqjgFMI7KPgWnCFpiDmQfxzNZnAAB3Rt6Jrn5dm64wRERERES1xGmUG5FSkm93UwUwhaZCPPbHYyg0F8JH54OZvWY2TUGIiIiIiOqIAUwjUjTRLGRCCLyy6xV8d/I7AIC3zhvfj/4eXjqvRi4JEREREdGVYReyRqS6MAtZY/sp4Sd78AIAkztPhq+Tb5OUhYiIiIjoSjCAaURl0yjbhGTftnDvQjz+5+OwiYYZ2i+EwLIjy+zv+wT2wR2RdzTIuYiIiIiIGhq7kDUipb0FRkAIAYvNghVHVwAAjuUcQxffLvV+zgOZB5CsT4aTygmb79kMF7VLvZ+DiIiIiKixsAWmEZV1IROQYBEWpBnS7PtEA4zst9gsWLx/MQBgRPgIBi9ERERE1OIxgGlESsWFBi8hwWw141zhOfu+YktxvZ9vzak1OJB5AC5qF0zrNq3e8yciIiIiamxNHsB88MEHCA8Ph06nQ79+/fDPP/9cMn1+fj6mT5+OoKAgaLVatG/fHuvWrbuiPBtLxRYYk9WElMIU+74ic1G9n++nhJ8AAI92fxQhbiH1nj8RERERUWNr0gBm1apVmD17NubNm4f9+/eje/fuGD58ODIzM6tMbzKZcOONNyI5ORnff/894uPj8cknn6BVq1Z1zrMxlU2jDEgw2UxIKSoPYIrN9dsCk5CXgMPZh6GUlLi1za1XlNfIiJH1VCoiIiIioivTpAHMokWLMHXqVEyePBmdOnXCkiVL4OzsjGXLllWZftmyZcjNzcVPP/2EAQMGIDw8HEOGDEH37t3rnGdjUkjy7GMCgMlqcuhCVp8tMIkFiXjmr2cAAINCBsHHyeeK8ru5zc31USwiIiIioivWZAGMyWTCvn37EBsbW14YhQKxsbHYuXNnlcf8/PPPiImJwfTp0xEQEIAuXbrg9ddfh9VqrXOeAGA0GqHX6x1eDUGyBzCKSl3IDGZDvZwjuSAZ434dh4T8BHjrvPFivxfrJV8iIiIiouagyQKY7OxsWK1WBAQEOGwPCAhAenp6lcckJibi+++/h9Vqxbp16/Df//4XCxcuxKuvvlrnPAFgwYIF8PDwsL9CQ0Ov8OqqplCUr/9ispmgN5UHSvXVhWzJoSUosZSgrUdbLB++HIEugfWSLxERERFRc9Dkg/hrw2azwd/fHx9//DGio6MxduxYvPjii1iyZMkV5TtnzhwUFBTYX+fOnbv8QXUgSfLtFkIexF9iKbHvq2kXsnRDOmK/i8UHBz+otC+vNA/rk9YDAF4f9DraeLaph1ITERERETUfTRbA+Pr6QqlUIiMjw2F7RkYGAgOrbjUICgpC+/btoVQq7ds6duyI9PR0mEymOuUJAFqtFu7u7g6vBiGVtcDIAUyppdS+q6ZdyL469hUyijOw5N/KQdvejL2wCRvaebZDJ59O9VFiIiIiIqJmpckCGI1Gg+joaMTFxdm32Ww2xMXFISYmpspjBgwYgISEBNhsNvu2kydPIigoCBqNpk55NiaFVN6FzGg1otRa+wDGaDVWe8ye9D0AgD6Bfa6kmEREREREzVaTdiGbPXs2PvnkE3z++ec4fvw4Hn30URgMBkyePBkA8MADD2DOnDn29I8++ihyc3Mxc+ZMnDx5Er/99htef/11TJ8+vcZ5NqXyQfwSCk2FDvtqGsAUmsuPe3Lzk0grSgMgz2r2W+JvAIDeAb3ro7hERERERM2OqilPPnbsWGRlZWHu3LlIT09Hjx49sGHDBvsg/LNnz1ZYOwUIDQ3Fxo0b8eSTT6Jbt25o1aoVZs6cieeee67GeTalskH8AhIKjAUO+wxmA7KKs/Da7tcQHRCN+zreZw94Kqo49fLOtJ14edfLeGvwW9ifuR+l1lK4qF3YAkNEREREVy1JCCGauhDNjV6vh4eHBwoKCup1PMz6Pzbh0T9M6KyMx+1j3fDegffs+9p4tEFnn874JfEXAMDUrlPxRK8nKuUxZNUQ5JbmOmy7pc0t+C3xNwQ4B2Dx0MXo4tul3spMRETUUjTU328ial5a1CxkLZ1UYRD/xS0wiQWJ+DXxV/v7z458huM5xx3SGMyGSsELAHvXsYXXL2TwQkRERERXNQYwjcg+BkZIDmvAlBEQ6BPYB7GtY2ETNoeABgDO6s8CADy0HlgauxT9gvrZ9wW7BKO7X/cGLD0RERERUdNr0jEw1xr7OjAVWmDcNG4OA/r7BPSBVqXFH2f/QL4x3+H4w9mHAQAdvDqgf6v+8NJ5YemhpWjj0QYnck40zkUQERERETUhtsA0orJB/ABQYJIDmECXQDirnO3bewX0gpvGDQAqzVR2MPMgAKCHfw8AQEefjlg8dDGe6PUElAoliIiIiIiudgxgGlHFFpiyLmRuajdM6jzJnqarb1e4a+SBhxd3MzuQeQAA0NO/ZyOUloiIiIio+WEXskZUcRD/Ob08HbKTygkPdX0IecY8hLmHwVntXGULzA8nf0BKUQokSOjq17Wxi05ERERE1CwwgGlE0oU1bWyQUGotBQDoVDqolWq80O8Fe7qyFpiyAMZkNWHBPwsAAPd3ut++n4iIiIjoWsMuZI2oYgtMGSeVU6V0F3chyzBkwGg1QqfU4eneTzd4OYmIiIiImqsat8DMnj27xpkuWrSoToW52inKplGuEDfqVLpK6cq6kBnMBlhsFqQZ0gDIA/7LgyAiIiIiomtPjQOYAwcOOLzfv38/LBYLoqKiAAAnT56EUqlEdHR0/ZbwKlI2iF+q0AKjU1YOYFw1rvafDWaDPYAJcglq4BISERERETVvNQ5gNm/ebP950aJFcHNzw+effw4vLy8AQF5eHiZPnoxBgwbVfymvEgpFWcvLpbuQqRVqOKucUWwpht6od2iBISIiIiK6ltVpDMzChQuxYMECe/ACAF5eXnj11VexcOHCeivc1UaqogtZVQEMUN6NTG/WI92QDoAtMEREREREdQpg9Ho9srKyKm3PyspCYWFhFUcQAKDCOjBlqhoDA1QIYNgCQ0RERERkV6cA5o477sDkyZOxZs0apKSkICUlBT/88AOmTJmCO++8s77LeNUo60JWMYApsZRUmbZsJrJ8Yz7O6M8AAIJc2QJDRERERNe2Oq0Ds2TJEjz99NO49957YTab5YxUKkyZMgVvv/12vRbwalLehaxcZnFmlWnLAphn/3oWgDwupp1nuwYtHxERERFRc1frAMZqtWLv3r147bXX8Pbbb+P06dMAgLZt28LFxaXeC3g1qdgC09mnM47mHMXw8OFVpvVx8rH/rJSUeGfIO/B18m2UchIRERERNVe1DmCUSiVuuukmHD9+HBEREejWrVtDlOuqVLEFZtnwZUgtSkU7r6pbVR7o9AA2n9uM3NJcTOs2DTe0vqERS0pERERE1DzVqQtZly5dkJiYiIiIiPouz1XNHsAICc5q52qDFwBo49kGP4z+AcdzjmNAqwGNVUQiIiIiomatToP4X331VTz99NP49ddfkZaWBr1e7/CiqpUtZGmrMIj/UnydfDEoZBAUUp0+JiIiIiKiq06dWmBuvvlmAMDo0aPtrQoAIISAJEmwWq31U7qrjGQfA0NERERERHVRpwBm8+bN9V2Oa4KiinVgiIiIiIio5uoUwAwZMqS+y3FNkBSVp1EmIiIiIqKaq1MAU6a4uBhnz56FyWRy2M6Zyapmb4ERbIEhIiIiIqqLOgUwWVlZmDx5MtavX1/lfo6BqYaiwiB+IQCJgQwRERERUW3UaXqrWbNmIT8/H7t374aTkxM2bNiAzz//HJGRkfj555/ru4xXDaniGBjBjmRERERERLVVpxaYP//8E2vXrkXv3r2hUCgQFhaGG2+8Ee7u7liwYAFuueWW+i7nVUFxYQyM3AJjQx3jRyIiIiKia1adatAGgwH+/v4AAC8vL2RlZQEAunbtiv3799df6a4ykn09l7IAhoiIiIiIaqNOAUxUVBTi4+MBAN27d8fSpUtx/vx5LFmyBEFBQfVawKuJwmEMDAMYIiIiIqLaqlMXspkzZyItLQ0AMG/ePIwYMQJff/01NBoNVqxYUZ/lu6o4joFhAENEREREVFt1CmDuu+8++8/R0dE4c+YMTpw4gdatW8PX17feCne1kRRlAQzqPYAZGTGyXvMjIiIiImqO6tSFLDEx0eG9s7MzevXqxeDlMspaYGxQ1HsAc3Obm+s1PyIiIiKi5qhOLTDt2rVDSEgIhgwZguuvvx5DhgxBu3bt6rtsV52GbIEhIiIiIroW1KkF5ty5c1iwYAGcnJzw1ltvoX379ggJCcGECRPw6aef1ncZrxoKRYUxMOA6MEREREREtVWnAKZVq1aYMGECPv74Y8THxyM+Ph6xsbFYvXo1Hn744fou41WDC1kSEREREV2ZOgUwxcXF+P333/HCCy+gf//+6NatG/7991/MmDEDa9asqXV+H3zwAcLDw6HT6dCvXz/8888/1aZdsWIFJElyeOl0Ooc0kyZNqpRmxIgRtS5XfeM0ykREREREV6ZOY2A8PT3h5eWFCRMm4Pnnn8egQYPg5eVVpwKsWrUKs2fPxpIlS9CvXz8sXrwYw4cPR3x8vH2xzIu5u7vb16EBAEmSKqUZMWIEli9fbn+v1WrrVL56daGcnEaZiIiIiKhu6tQCc/PNN8NqtWLlypVYuXIlvvvuO5w8ebJOBVi0aBGmTp2KyZMno1OnTliyZAmcnZ2xbNmyao+RJAmBgYH2V0BAQKU0Wq3WIU1dA6z6VBZnMYAhIiIiIqqbOgUwP/30E7Kzs7FhwwbExMTg999/x6BBg+xjY2rKZDJh3759iI2NLS+QQoHY2Fjs3Lmz2uOKiooQFhaG0NBQ3HbbbTh69GilNFu2bIG/vz+ioqLw6KOPIicnp9r8jEYj9Hq9w6shKNgCQ0RERER0ReoUwJTp2rUrBgwYgJiYGPTp0weZmZlYtWpVjY/Pzs6G1Wqt1IISEBCA9PT0Ko+JiorCsmXLsHbtWnz11Vew2Wzo378/UlJS7GlGjBiBL774AnFxcXjzzTexdetWjBw5Elartco8FyxYAA8PD/srNDS0xtdQG2yBISIiIiK6MnUaA7No0SJs2bIF27dvR2FhIbp3747Bgwdj2rRpGDRoUH2X0UFMTAxiYmLs7/v374+OHTti6dKleOWVVwAA48aNs+/v2rUrunXrhrZt22LLli0YNmxYpTznzJmD2bNn29/r9foGCWLKWmA4iJ+IiIiIqG7qFMB8++23GDJkiD1g8fDwqNPJfX19oVQqkZGR4bA9IyMDgYGBNcpDrVajZ8+eSEhIqDZNmzZt4Ovri4SEhCoDGK1W2yiD/MumGmALDBERERFR3dQpgNmzZ0+9nFyj0SA6OhpxcXG4/fbbAQA2mw1xcXGYMWNGjfKwWq04fPgwbr755mrTpKSkICcnB0FBQfVR7LqzdyEDAxgiIiIiojqo8xiYbdu24b777kNMTAzOnz8PAPjyyy+xffv2WuUze/ZsfPLJJ/j8889x/PhxPProozAYDJg8eTIA4IEHHsCcOXPs6V9++WX8/vvvSExMxP79+3HffffhzJkzeOihhwDIA/yfeeYZ7Nq1C8nJyYiLi8Ntt92Gdu3aYfjw4XW93HpRPohfwYUsiYiIiIjqoE4BzA8//IDhw4fDyckJBw4cgNFoBAAUFBTg9ddfr1VeY8eOxTvvvIO5c+eiR48eOHjwIDZs2GAf2H/27FmkpaXZ0+fl5WHq1Kno2LEjbr75Zuj1euzYsQOdOnUCACiVShw6dAijR49G+/btMWXKFERHR2Pbtm1NvhZMxdVqhK3qCQWIiIiIiKh6khC1bwro2bMnnnzySTzwwANwc3PDv//+izZt2uDAgQMYOXJktTOItRR6vR4eHh4oKCiAu7t7veWbZzCh5yubAACnn2wLZUCHesubiIjoWtdQf7+JqHmpUwtMfHw8Bg8eXGm7h4cH8vPzr7RMVy2pQhOM4BgYIiIiIqJaq1MAExgYWOWsX9u3b0ebNm2uuFBXK6lCBGOzMYAhIiIiIqqtOgUwU6dOxcyZM7F7925IkoTU1FR8/fXXeOqpp/Doo4/WdxmvGg4tMAxgiIiIiIhqrU7TKD///POw2WwYNmwYiouLMXjwYGi1WjzzzDP22cCoModB/OxCRkRERERUa3VqgZEkCS+++CJyc3Nx5MgR7Nq1C1lZWfDw8EBERER9l/GqoajQBMNZyIiIiIiIaq9WAYzRaMScOXPQu3dvDBgwAOvWrUOnTp1w9OhRREVF4d1338WTTz7ZUGVt8TiIn4iIiIjoytSqC9ncuXOxdOlSxMbGYseOHRgzZgwmT56MXbt2YeHChRgzZgyUSmVDlbXFUzgM4udClkREREREtVWrAOa7777DF198gdGjR+PIkSPo1q0bLBYL/v33X4cZtujy2AJDRERERFR7tepClpKSgujoaABAly5doNVq8eSTTzJ4qaGKt4nTKBMRERER1V6tAhir1QqNRmN/r1Kp4OrqWu+FulopHOdRbrqCEBERERG1ULXqQiaEwKRJk6DVagEApaWleOSRR+Di4uKQbs2aNfVXwquIwzTKbIEhIiIiIqq1WgUwEydOdHh/33331WthrnaOg/gZwBARERER1VatApjly5c3VDmuCY7TKHMWMiIiIiKi2qrTQpZUNxJbYIiIiIiIrggDmEYmQW554TTKRERERES1xwCmkZUFMGAXMiIiIiKiWmMA08gUFwIYdiEjIiIiIqo9BjCNrGwUDLuQERERERHVHgOYRiZJZS0w7EJGRERERFRbDGAaWXkLDAMYoks6/H1Tl4CIiIiaIQYwjcw+CxnHwBBdWkMGMAyO6GrSEr/PLbHMRNRsMIBpZGU3vN7HwPCPAVHN8feFriYtMdjn7yARXQEGMI2sbAyMEDbsSc7FZ9uT6qc7Gf8YUFPg946o5lri70tDlFkIwGIEinPrP28iuiaomroA15ryaZQFxizZCQAI9XLCTZ0Dm7JYRHVz+Hug691NXYrmoyXej5ZY5paqJd9rY6H8r9YNsFmB4hwgLxkoSAFsFiD1IJB6APBuAzh5AgolkJ0AWEoAi0n+15AFFKbLxwsrsHcZMPjpJrwoImqpGMA0EXHwGwAPAgASsopwU9MWh652Lbni1JI05H1uqLxbYpkbUlOU2WYDTIWAsQgwFQGQAKsJ0KfKFf3iHMBUDBSmAZICyEsCzCVyMFBwTm7J+GiA3LIhrIDVDBRlAGpnwCMECOwCBHYDnH0AYQOUGjkvq0neplABGUfkVhGrWQ5ITAagJFcOTD4eCqTul8uq9ZCPs5RUfS1nd9T8ukvzr/DGEdG1igFMIyubhcyWccy+zWq9NmckW3vwPG7r0aqpi3FtaMqKpM0GFKYCTl5yhcpqAjKPA0WZgNkA5CYBOQnyq7QACO4J9HlIroxdLP+s/ArtByjVQGEGoNLKT3yvdgwGGifv6vI1FQPph+TvndoZUOnkFoXM44BRD5hL5e95bqIcUHiFA2onOViQJDlwSD8EfHE7UJInf2ctRjlgyU2WA5grkXGkijIXAYbM8uCjrkoqdPUyFpT/rPME/DvJrS0+bYHArnKLjMUkpwvsLrfYqHWAUisHS26BcsD065PATa9eWbmI6JrFAKaRKaTKlTLrNTql8i//pjKAaa5sNuDM38DxnwFzMXDTazULEoQA0g/LFTNnb+DcbmDbIiDnFABJrvRV9+S2TNYJ4N9v5UrOh/3lJ8hqHZC4RQ5wADkflU5+gispAZ0H4BoABHUDej0AaFyAc3uA/DNA8jagJF+uRPp1AKJGyk+uDdmAi+8V3aZrms0KpOyVWwB0HnIl1sVPDkwLUuTPoCgDOLRarrCf2SHv17jIlXqlWr7/nq0BhVre5tkasJTKrQyGLLklwCNEzl/n4Xj+mgQwQsj5WYzyvyaDXKF29a+czpAlBx8FKcCez+RWj/TDQNq/F8qTXbsgI/1Q1dv156s/RqGW7w8gf1/dQy7cV195u7OPHCh5hADuQYCLP+AZCmx4ARj4pJxWoSr/LEwGuZtX2r/y71VpgXwtllL5fjp5ycGWsVBupXHylo9XqgCVk/w7vGsJMOAJIKS3fH59qvw75x0h5yVJ1V/PpUgcgktEdccAppHZW2BQ/p++zSZgMFrw8Jf7cH2UHx4a1KZpCkc10xK78pQ5vw84+pNcgVcogQ63AGED5MpMxhEg+W+54nV+H5B9svy41H+BEQvktKX5cqtHzmk5zVd3yZXCkrwLLSsZ1ZxclAcvWne5AqRykitgvu0Bn3ZyJe3QauDkRrmymHlUfl3MUiq/ALnLTEmu/Mo6DhxaVf315yUDJzfIP7/THgjpA2ic5SfJnq3llp2okXWvlDUXFqP8GdWFEOUVeicvOYg4/gtw4hf5/uUmy60JVhNgM18+vzVT61YOB5JcIVfr5NYPr3Dg7C7gm7Fy4Goqkr/Trv7ydyv7FJAdLweuwlo5O8/WcuVfqZZb9Ery5dbAMr/NrroYOk85f3Ox/NJ5yC0QLr5yAOYWJH+fdZ5yeaxG+bOAkCvs/64CBs6S72up/sL1uMitEj7t5Pd1oXUDImOr3hfcA+h8e93yBYBjPzv+v+QXVfe8KmpprYlE1KwwgGlkZYP4TVDbt1mFwJoD57E9IRvbE7IxZWAEpJZegWpiDdo9rbkFMELIFf6jawCNq1xpMhbJT0/DB8ndWLJOAMtGAGd3Oh7777fyv5KyckVP4wZ0HCVX+DMOA5/fWnW63NOO75UaubJpyJYrij3ulbuEWUrlJ8AuvnLeymr++2k/HLBagM9HyQN8cxLkJ+NtrgfC+stBT/4ZuWLt4g8UZ8vjAYoygCNrgMPfyZX38EGAbyTg31EeWGyzyAFa0lb5ybqpCDi3q/L5te5Au2FAUA/5ybW5RD6vV5hchotbAmrCZgP0FbrWuPjLZXT2BRSXeRJts8oBw8UttTmny5+sx6+T761PpNxlKP2w/F3QecifmbFArugr1OUtH4Bcuc48DnwyTA7aSvXy52mz1Oy6dJ5AQGe5C5XFJH8WrgHyqyBFflof2keuvAd2u/D03ygHPhaj3HpjyJI/b3Ox/LmqneVrdfWTr92QLX+nDZnl5806If9bFozWhKSQgwVTUXlXRMcEgEeoHMiEXgfo3OXgJLiH3P1J2OSAt7rvbU2c2yP/PhADGCK6IgxgGllZXFKC8qejVhuQU2S0v+/zWhxevb0LRnSp+cxka/PCcVu9lbKR6NMaLOsW2z0tfoNcGexwq9wycLHTfwIn1l2o1J+WK1YqnRxgVGXvsvKf85LkymyXO+XKZEGK3C0rO14OSrTuQOvrgFbRciWy692Ae7D8OW17B9j3ueMTd5WTXMkb8pz8tBkCaHuDXOmrsruZe+WuO9VRquTKd7th8utivpHlP7v4lP/cfjhw2wdy61JVDwEiBgND5wDfjAOGvwac3y9X1osy5Kf2R76X7//RH+VXmZPr5X8VKrn7TllAoVDJrTYaZ7kCn3YQWDlBDhD8OwFJf8n3Jv+sYwW8IrWzfN/9OgJF6XIlV6GQP4+iDLmCX7Zu1Hwv+Zxl3YAuVrFSbiobEH5BWfe7qhRnV78PkAPO3pOA4F7yOIeybkpuQXJAVJ1vxgH3rrx03hVZTHJ+F392RZnyy1Iqt/RlHAGO/Aj0nixvlxSATxu5hchqBrwi5MC1rMuaSleer7EISN5eHkR5hMqfl0eIHFR+Mw4Y/03Ny0xERI2OAUwjK/uzXCI09m1mq80hgMkuMuKRr/Yh+Y1bapzvL/ktMYBJbeoSNC0h5KfoZX3c0w8B346V9ynUcguKpLjwFLin/FT91Maq81JqgW73yE++1U5ypS3zOJAVL3f5Ki0ABs6WK/heYY7HluTJA5TdAuWyXMw9CLhlIXDDf+XWCGcfuSKpcQVW3gv0mVKvt+WK1fQJuU9b+VXRyDfl+3bkB7nrWuuY8hmaMo/LXebykh2PyUtyfH/i12pOKMkVZI2L3NJhswAQcsvD6T/l1+WUdd0qyy+om1wB73CLXAE/s1PuwhQ+SE6XflgOgAK7yRV2q1nebsiSv1tKDbB9MXD983Irh0Itf9dUWrl1xai/UGbXxulWp9JUvd3V3zH4jbwROLtbDmBqS+sKRI2oW/maq4ZszWBLCRE1QwxgGpl0oQtZxRaYYpMVp7OKKqUVQrArWV01YOvOFbd2pR8GEuLkJ/xpB6tOYzOXjyUpTANOx8k/Swqg5/1AaF/Au61cGS3KkCvanqHVn/ObcUC/aVXvc/KSX5fj5FneslJdRbOl07rKXZ5C+1S9PzepvPIvSUDmCSBxsxxEaJyBQ98BXcdcGDCdD7TqLQcZzj5yYFA2IxVwoTuZXm6hObXxwgBrJdBmiBxImIrkgNQtUG5B+P5B4PaP5MDHZpGDioqtT4DcwlTRxQFaVQ5/D3S8tep9qmtwkoOWGAy0xDITEV0BBjCNrKzuUoryCmCxyYLTWYZKaTMLjQhwr+OgzmtdA7bu1Lq1qyRfHmuSflhuETm/t3yfpJCf8FtNcsvJvd8B4QPlsQGlermLy9E1wOnN8va+0wDfdvV8RVRj3hHyq0yraKDnhPL3KfuAIc/ULC+VRg4QXHzlGaAuR6kB3AJqV96m1hIr1i2xzERE1xgGMI2sbBB/xS5k53KLUVBSeTafY2n6ugcw5lK560d9tOC0xPUnGovVLA8aNxcDAV3kaUvP7pQHi6ceADxaAQXnHacOVqiAdjfKT8u7jpGf3Bemy1OhRgyS03i2Lk8fEt2413QNaJFjxloiBgNERNQAmsVE7B988AHCw8Oh0+nQr18//PPPP9WmXbFiBSRJcnjpdI6VfCEE5s6di6CgIDg5OSE2NhanTp1q6Muokaq6kB0+Lw+uDfV2wj8vDsOIzvLg/eNp+tqfwFQsr5r8WgCwbDjw+3/kp/5X4vD3dT9Wnyq3PFxFXIUBOLYWyDgqz5T106PAb0/J9/urO4G/3pZXo7aUyIPtLSXyAO3rX5C7AD1xUB7YHPOYPNOSxkXu6sPugg7W5oU3WN6/5DdM3g1ZZiIiIpI1eQvMqlWrMHv2bCxZsgT9+vXD4sWLMXz4cMTHx8Pfv+oZi9zd3REfX14pv3icyFtvvYX33nsPn3/+OSIiIvDf//4Xw4cPx7FjxyoFO41NujCbUAkqDuKXg5q2fq7wd9OhY5A7NhxNx5ns4tqfIHFz+arL53bLr/TDwANr61zmSk+rLUZ5LIBHK3n9AUCe6nT9c/L6DN3Hy7MpeYYBHw+RF4TrNlaeHepSMxY1Z6Zi4O/FQHEOXrasBFZfNGZJqS1fET6gizzIOLin3A1M6yb/fJkApUW2CjTgU/BfbP0b7n64BzdIti1yMg22ZBARUQvT5AHMokWLMHXqVEyeLM8ms2TJEvz2229YtmwZnn/++SqPkSQJgYFVTzEshMDixYvxn//8B7fdJlclvvjiCwQEBOCnn37CuHHjKh1jNBphNJbPAqbX16Hlo4YkyAFMqai8yFxbP1cAQJCnHGSl6auYJvVyErdWsW0LkHem8uxTNeRQKRMCWHW/POhY6w48tlNe6GzjC8CF1iVse6dyJodWyWs2tB8J9J8hT8Va0alN8uxOPm3lweleYXJQtOdTOQDybgP0mVp5hqnCDDnfLneWB1NXymSQu3SVDYC22YC10+WxKADcy9Ip1PI1j/sWaH+TfG+uoBWlQSu/LXG8gHtQy8y7gax1G9sw3w8GMERE1MI0aQBjMpmwb98+zJkzx75NoVAgNjYWO3furPa4oqIihIWFwWazoVevXnj99dfRuXNnAEBSUhLS09MRG1u+KrGHhwf69euHnTt3VhnALFiwAPPnz6/HK6ueJMq6kFWexaksgAn2cAIApOWXVEpTnRHWLcAX6+VgBQDu+kye1eivd4DCVOCj/nIrTFB34JdZ8roft/5PHjheGwl/lE/la9QDqx+QV22vjsoJiJ0HbJgjl+fQSiB+PXDTywgRqYCxEBmH/oD+1/8gw+YJJ8mIaOVpeRHBspakMgoV0HeqPHvT34vl2beOrZVnhUr6C7j7s9pdy8XMJcC2hcDupfK19X1YniL49/8Ap36X03Qbh2VHbXjwuXflKW1NhvKB1VfaBayBWgUAYK01pkEqvw26YGhL1ICf4S+5IS2vdYeIiKgBNGkAk52dDavVioAAx5l1AgICcOLEiSqPiYqKwrJly9CtWzcUFBTgnXfeQf/+/XH06FGEhIQgPT3dnsfFeZbtu9icOXMwe/Zs+3u9Xo/Q0EtMSXsFFCjrQlZVC4wLACDQ40ILTIHcAlNqtsJstcFNV033K3MpbrdtBBIvLHYnKeQFBZ295e5M39wjT+n66UULAtqswF2f1KzgJzfK07iaLuo6VTF4iZ4M3PyOvGbGjveB4z8DY5YDUSOBtsPkdU52/p88uP2XmZgqfPDsy8VYYx0EC94CAChhxVfq1/Hv2WDkifYYrv4XyU6dEVR0FNf9tRDSmb8dFxgsc+R7+Tw6TyDrOPrbDgG7PpKnmm1zvbzYXep+ea2NnvfLFU21M+DXXg6sjv4op8+q8L37Z6n8AuQuYnd8BHS5CzuOL8GDZYtMal1rdv9qogFbBRpqYc8Wu2BoQ2mBLTtEREQtTZN3IautmJgYxMTE2N/3798fHTt2xNKlS/HKK6/UKU+tVguttnJA0RDsY2BE5RaYNmVdyC4EMEVGC7KLjLjv0904n1eC7c/dAA/nKoKY8/uguhAYoeNooOMoOXgBgNb9gFmHgC9ukwOHig6vBm56RV5n4hK0wgismVYevCi1wH0/AJ9fWDsibCAw8Rd59XAACO4B3PkJYF4MaN1gtFghPNtC59ceiLwRu3/9DP855IdTJu9K57JCifHm/9rfL7WOBkoB4E48mrcWzxWtKk/s31leyO7kBrll6IfyBRUfBIANq6u+oPh18r+SUl7l/ewuucUFkAOe2/5PDgJ/eEie3rjtMPk+BXS+5H0iaonYikZERC1NkwYwvr6+UCqVyMjIcNiekZFR7RiXi6nVavTs2RMJCQkAYD8uIyMDQUHlT0MzMjLQo0eP+in4FShrgSm9qAUm0F0HX1c5qHHRquCuU0FfasFz3x/CifRCAEBCViGiwypX+nHmb/nfzncAY1ZU3q/zAKZskivqecnyWJEd78mtJ/HrL7ua9W22TXILTpmb35bXJPHvDOjPA6PfKw9e7BeqQKnCGVm5xbj/s904k1uMkV0C4e+mw7cHO8Joke9Dd08j5o3ugnN6G84alPj531ScyiyCt4sGFqsN+lKLPcuPrLeht+IkhgVb5DKXrQDf7R5g2yLg0Gp5vEzboUg/uReBfn7yyvIZR+SubJZSeZC9QiV3OxPW8q5h3m3kRQf7PQyE9C7fVpghBzmcIaxZM1tt+DshG52C3eHvxrWTaqMhW9EYHBERUUNo0gBGo9EgOjoacXFxuP322wEANpsNcXFxmDFjRo3ysFqtOHz4MG6++WYAQEREBAIDAxEXF2cPWPR6PXbv3o1HH320IS6jdqqYhQwAeoR6OsymFuzpBH16IeJOZNq35RSZqs4z4Q/537AB1Z9XqZbXGClbZyQnQQ5gjv986QAm/QiG2S4ESBN+kCv3ZauxP/SH3EJR9r4Cq03g3k92Yf/ZfPu2dYfLu/A5qZWIUqXju2cegFqpQK8L26cPbYcjqQUI83EBBPDH8QzEdgzA+3+ewqfbk/C6+39gGtgZZpvA0fXH0TPUEzkGE/JV9yMx9A6Eejnj4SFt8Z+3P8Gn0x+RMzUWyVMV26zyJAAXxiFZD3wL6dBKKPw7yC0sKjmoLCw1Y93hNAAeGBPdBQoGL83a+fwSTP18L46l6aFWSrihgz/CfV1wV68QRPq7VpqlMLOwFHnFJpSardCplU1U6mtDSwyOWmLQ1RLLTER0JZq8C9ns2bMxceJE9O7dG3379sXixYthMBjss5I98MADaNWqFRYsWAAAePnll3HdddehXbt2yM/Px9tvv40zZ87goYceAiDPUDZr1iy8+uqriIyMtE+jHBwcbA+SmpICVgCVx8D0bO3pmK6KSnOOoYoAJvlv4NxuWKCEKurmmhek0+1I+/MjPHFsIG74bh0euXtkpYoebDbgt9lQwiZ3TYuUJ0YwGC1IzS9BhK8LVh/IRnpBBvq380XfcG8oFHIeX+8+4xC8AHKQFhXgBncnFSb2D8dLH34BtdKx5UahkNAtpPxe3BUdAgB4fFgk1hw4j9M5Rjz69UWD+y+yOO4UvJR+WLM/BWE+zogMcMOBU9nwd9OiY5A7IEnILCzFvVtaQat6Bl/f0w/JacU4lJKGtn6umLv2CE5nGQAABSVmTBvctub3la5YqdmKb/85iwNn8/HIl/swJMoPQR466NRKHE3VY//ZPCRmGaBVKVBisiK1oASFF1rqzFaBjUflFt2lWxOhVSmgVirsY8g0SgmpF8aWDX5rM27pFoRbuwVV3bJZBSEEkrINMBitcNIoEO7jglyDCVtOZiEltxi5BhNS8oqhUSqgUSmgVEjYm5yHMzkGxGcUYkA7X9zcJcj+e0J11xLHdTVUoNESy0xEdCWaPIAZO3YssrKyMHfuXKSnp6NHjx7YsGGDfRD+2bNnoajQPSkvLw9Tp05Feno6vLy8EB0djR07dqBTp072NM8++ywMBgOmTZuG/Px8DBw4EBs2bGjyNWAAoKzacvEYmFHdHWcvGtElEMfS9JgxtB0yC0uxem8KcoqMqGTH+wCA7Yo+uN6jFn9kfNvhbc//YE+6P/bsE9CoNmLKwAjAt315d6l/vwHO7UYpNNCNkANIq03ggWX/YN+ZPIfs3vszATFtfPDRfb1QWGrB2xvL1+np39YHn07sDWdN3b9uHk5qLL0/Gg989g9KzFaHfd4uGvSL8EaQhxNW7jmLYpMVeVYdZq/+t1I+80Z1wvi+rTHjmwNIyJTH9PR4eVO1531rQzxMFhvu7ReGnCIjik1WmGzNYv3Xq8rR1AIs+v0kjqQWwGC0osgoByQbjqZjw9GqJ9+oKMLXBV8/1A9ZhUZsjs/E/rP52H4qC0aLzd5d0Xjh90eSAAggs9CI5X8nY/nfyYjtGIBOQW44k1uM01lFMJptOJtbjE7B7mjjK49NSysowZmcYpyvMDugUiHBahMOZRn45uZqy/ntP+fQyvMEwn2d4apVoXeYNyb2D8exND08ndQQAHINRng4qdHK0xlOGrYQXU1a4qQXDVVmBkZEdCWaPIABgBkzZlTbZWzLli0O7//3v//hf//73yXzkyQJL7/8Ml5++eX6KmK9kS6slVI2BmacbxKmP/gggj0dpzOeMbQd7ooOQStPJ7y5QZ4Zq1ILjCEbSJAr33GK/ri+FuU4k2PAjxnlC4W+vzsf4w8OgnP0WODWd4H8M8Dv8mD6nxWxuMdDbgn5atcZh+DFWaNEn3Bv7E7Kwc7EHIdgoFuIB358bACU9fS0uU+4N7Y8cz0AwMdFA4Uk4cC5PHQIdIeLVv4qT+ofjl1JOXjzx93w9vFDjsGE3Ar3bf4vx/DJX4n2p/BlVAoJQZ46nMstQbcQDywc0x1Ltibih/0peOf3k3jn95MVUgfj022JeGhQGwghKrdc1ZLNJiBJ8tN9IQRKzFYUlVqw8Wg6Atx16N/OFy4aJYTAFT25t9mE/XibTeBgSj5sNoHe4ZdvfbDZBExWG37+NxVLt55GVKAbeoZ62QON6hxKyceuxBx0C/GETQgUllrQzt8Vi34/iYISMzIL5c/hVGZRWc8+APJEFq5aFW7tFoxNx9NhstiQWWhEr9Ze6NLKA11beUAIAWeNCs5aJToHu0OrUiLY0wndQz0ByONi0vJLYbbZoFEqUGS0oNhkQRtfVzz13UGM7xuG9YfT8NPB8/jjeAb+OJ5RqfwHzubjwEUtiRqVAj4uGhSUmFFsskIhAR0C3RHs6YStJzNhtQkI2HsqIsBdi3AfFwR66PDHsQyczy+xB0Ebj2bgtXXHq7x37joVXhrdGZH+bvB0VsN84f4nZhUhwtcFXVp5IMLHha051CK1xGCOiJqPZhHAXEsUcFwHJlhdhFBv58rpFBJaXQhqfFzktJXGwBz8GrBZgKAeSMsOuDiLS1p3OB1CADHh7kg7cxLJIhAvWR5A5D/n8c2ebxGCdPxXckL74G6Iyx6IeyB3p/rfH+UV+Y5B7lh0T3d0DHLH0dQCPPHtAZzOMkCSgC7BchBQX8FLmQB3x1a0i7v+tPZxRmsfZ/y+8Td8OvtumK027E3OQ6dgd0xZsQd7z+QhtaAULholPpvUB+0D3PBPUi6iAt0Q4esCi9UG1YVube+M6Ya+EV5Y+lciEi90KfN30yKz0IhXfzuOT7clIbOwFEEeThjRJRDPjegAjUphDxS+2X0WX+xMxg0d/DG+b2sAQIiXE7YnZMNiFThwNg/f7UtBWkEpNEoFTFYbIuasq/K6XbUqSABmxkZiUv9wGC02KBVSpTEcQggcS9PjZEYhikot9m58+8/moc0L69A9xAPXtfHB5vhMnMyQW6D6hHuhnb8rEjKL0KWVB2YOi4STRolMvREalQJf7TqDr3efdQgET2cZ7GOaRiz+C52DPZBXbMKhlAL4u2kR5KHDifRCh9aKy7mhgz8mDwiHq1aFbiGeePjLvZgZG4mZsZE1zqMitVKB1j6Vf7cAuYvmjZ0CcGOnADw0qA1+O5yKXIMZIV5OiPR3hVqlgLezBonZRTiRVoi8YhN6hHoh0EOL69r4wFmjgsVqQ0JWEVp5OtmnOJ+y4h8sub83rBeCUn2JBd4uGvvvQVahEQfP5UNfYsbJzEJ8ufMMik1W6NQKOUCVJPi4apBfbIa+1FKpFXHryWyH9y4aJZQKCb5uWjxwXRjCfV1gsthgstqQX2xGekEpAty16BDkjsJSM46c16PUbEVesQmtvV2gUkg4n1eCL3Ymo3uIJzoHu9u//xUD3pYiz2BCur4UYT7O9hbfYpMFh1MKUGy2osRkRbHJinb+rvB21kCnVuBEeiHyS8xo5+eKMB9nFJssOJ9fAh8XDY6mFuDguQLkGUwwW23oHuoJN50KSkmCUiEh1Nu50sOnhpSQWYT49EJsO5UFfakZWpUS6QWlSMgsxNPf/QulJEGhkGCx2nAmtxgKSV5fzGSxoaDEjFOZRcgvNsFgtMLPTYsIXxe4O6ng76ZDrzAvRId5Qa2QkJJfApPFhkB3HUpMcouoi0Z5xQ9riIjqCwOYxuYVBuQKlKg8ADOgFRWCkoQ/AJ92gFe4wyE+F2YnyzFU6EJ2djcQd6GFqdf9wO/VPwk3WWxQKyW8/OsxrD+cjq4hHkgrkCuWt/RoDfe8JXii4F6stg61H5MET9wtvYytd1wH66e/IinbgDFLdiK/2Iy2fi7YOGuwvaIDAJ2DPbDpySFIzDbA310L9+rWrGlkaqUCMW19AABL7o/GpmMZ0CgVuD7KDz6ucivYiC7lM95VvCZJkjC2T2uM7t4Ky/5OQscgN9zQIQD9X/4FqcUKpOvl1oPz+SX4bHsSNh5Nh5tOjYTMQmiUChhMcle3E+mF+HDLaSgkwN9NZz+uIpPVVmlbkIcONiGQoTfaWzpe/e043o07JVd6VQoM7xwID2c1zuYUo0srD+xJzsWO0znV3o9/Uwrwb0qBw7Y9yXnYk5xn//nbf85CrVCgsIrWFW8XDUZ0CYSzWonTWUXYEp+FE+mF9pnyACC7yIhjafK01AoJCPJwgtFihZNGCa1Kae+6N6l/OAa084VOrYCnkwZdWrk3SQWpU7A7OgW7V7mve6gn0LPq41RKBToEOh4nSRLUSgXK4ko/N8cA089Nixs7lT9seOKGSGQVGhHs6QSNqvy7Z7RY8eb6eOw4nY38YjPyik0wWmyI8HVBj1BPnMkx4Fia3v4d05da8NIvx2p55eXmrj0KQJ5cQ6WQoFRKKCy1IMhDBw8nNVy0Krxwc0f4uGiQkFkEk9UGi1WgjZ8L/N208HKW/4/KKzbBJoAdp7ORnF2M1PwSbDiSBo1KgUB3J+SXmBAV4AYXrQpqpaLSA47LtWiWmq0QAkjKNiAp24CxS3ei+MI9yCs2ISVP/n/NRaNEhJ8LSkxWnM8vQam58u/XpQx4488ap+0e4gEBIDHLAHedCiHezhjYzhceTmoUGS0wGC2QJPkB1KGUAkz7Yi98XLVIyCxEur4U/m46BHro4K5TwcdFC2etEn6uWpSYrcguNMJoscEmBA6ey7f/nlbl+30pVW7flZhb5faKLYEAsGJHcrV5d5m3ESqFBE9nNTydNQhw16J7iCfO5BYjJa8EZosNLlol/Nzk//tzDCbkFBmRlG2A2SqgVkrwddXKLzctfFw0SMo2YFdiDq5r41Oj+0xEVBEDmEam0LoB0KMEckuCTroQwJzdDXx1l/zzS44VTB8XuaLt0AJz4Eu59aXDrUD0g8DvHzscs+FIOj7YnIDD5+W8Aty1yNDLAVD6sfIK9I2dAhAQNB2F36zAiwXl63y3cSpGYokzVp+Qj/lwcwKyL4wheO2Org4Vffu1KSS086/HhR3rma+r1t4SUhtOGiWmD21nf9+xdQA+uCHS/tT2n6RcvPDj4QuVJ7lCYLbKlaoQLycUGS3ILzbDJmAPXjQqBXqHeWF839boF+ENg8mKycv/QZ9wb8yMjYSnswauF7rF5RlMSCsoxbZTWViy9TTyis0AAIPJijUHztvLVTZjnUapQHSYF9ydVLAJYG9yLiQAn0zsg4Pn8nE6qwjt/FxxV3QI1h48j8QsA1y1KphtNmy9EJCUorzC1zvMCw8OjEDvMC94OmscKtoPfLYbY/u0xt+ns2GzCYzoEohTGUVyK1wrD3QKdq8UzB44mwc3nQrt/N1q/VlcbVy0Knv3x4q0KiXmjiof1yeEwKTl/2DF5L72Cr7FasPpLAMKS834N6UAG4+ko8hogVatgEapgItWhSAPHf5JykVaQSlCvZ0R6uUEPzf5/5P49EJ4uWiw70wuOgd74N9z+Q7TlgNASl6JPSi4/YO/q70O7YXvRNl4o4oe+ar6STckCVArFFAp5RaNIqMFvq5ahHnLLakWq0CGvhRJ2QYUlloqjX8rm2yjIie1EgaTFUfO6+3bgjx08HTWQK2U4K5TY9+ZPFhsNpitAq29neHnpsXxND2KTVZ764rJaoOLRomBkb4I8nBCqdmKo6l6mK1yQGGxCiTlGBweCBQZLUgtKMU/SVUHDQDw+zHHrorncmveSqmQ5JbvXq290NbPBYWlFgR7OuGTbYm4rUcr2ISA1SagVEgI9tTBagPi0/XwcFJDrVSgaysP+Lhq4axR4lxeMTL0pSgoNuNMbjF2JebiRLoeEuQxh2Wfh8lig00AFptAdpEJ2UUmJGQW4e+E6h+UVCWvWG4BqmhLfBYDGCKqEwYwjazs4WLphb/DWnGhVSW1wh/5A18B7UcALr4A5KfewEVjYM7skP/t9UClNVgOnM3DI1/tc9hWFrxUNCjSV+6S5d4f9zx7HV58cT0AYFI3Z3SK7IpnfziML3aeQZQA/rxQOV4+qU/L+IPjHnz5NHUkSRJ6tvayvw/1dkb/dj44cDYf6guzT204ko7Bkb4Y0SUQ2UUmpOaXwGKzYdupbHQO9nB4Cl+mnb8r3h7TvdJ2LxcNvFw06BTsjon9w3EqowiuOhXSCkqwJykPBSVmFJSYcTxNj1BvJzx9UxQiA8qDAyEEpn6xF9EXuohU9EBMuMP750d0wPG0QhhMFrT3d0Ox2YIgj+q7yGhUCtzSLQi3dCtfc+n6KP9q0wNwuHdUM2UtOxVbJ1RKBaIC5c+5d7i3PAlHHTz0+R58OrEPbDaBU5lFMFtt0JeaoVIocCglH94uGny9+yz2ncmDQgLaB7jBWaOEAHA0VQ9ThYkSyvi6ajEo0hd/nshEGz8XlJptSMougptOjazC8v+LhJBbH00V4pKsQiOyCo3Ye6b61gY3nQoqhYTZN0WhlacONps8Hq9LiAdcNSocSS1AdpERTmoV/Nw0aOvnOJ122bgzo8Vm74ZZarZCX2rGC2sO45MHeiMlrwReLuUPEqqSWViKLfFZcNGo0D7AFUVGCw6fL8D+M3kXAiA5QBVCwMtFg/WH0zC+b2ukFpSifYAbwnyckVVoRFpBKQxGCzL0pSgxW5GpN8JVq4KvmwYqhQJWm0CXVu7o39a3yi7H64+k4dHrazdbYlX5VNUCNmXFP/i/e6ORV2xCfrEZ+SUmnMoowqnMQvi4aNGllQfUSjnYyS40Ir/EDB9XLdy0KkQFusFJrYTRYkNWoRE5BuOFIMiItQfOV5p9k4iophjANLKyvw1mm/yDDheCEk2Flou10+VFFe//Ecg+CV9XeQX4XINJ7pduyARyTwOQgNB+lc7xY4Wn8p2C3NGllTu8XbSIDvNChK8zYhf9BQB4/IbysQVqpQLfPNQPaw6cx6xbOkKnVuLNDfE4n18Ck8oHORYT3HQqDIz0rb+b0YBBBtyDLp+mHgV5OCGoa3lFf0h7P/vPfm5a+1Pvmk7XWx2dWomuIR4A5Jm3+re9/OdRm25ZkiQ5dKfyQPPoCkgNT6GQ7AFRmb4R8vf1jp6tkJJXAletCl4u5TMoWm0CNiGQll8KSZJbOhSSBEmSv0tlwVFFpWarvQuaxWqD2Sb/a7EJOF8Ye3UmtxhncwwwWQUifJ3h76ZDsKcTPJ3UUCgkuOtUmPrFXtx/XViV11JxKvbqrhWAwxgynVppfy9JUpUV/Iv5u+lwT+9Qh209W3tVejBQ5sj5AkwaULdAszFU9X+FJElw0ijhpHGyj/epyf87F7v4u3UqoxDDO9dswWoioosxgGlkF6/v4nyhyxGMhY4Jz+8FfpkJHF0D7x6ToFQMh9UmcOBcPqILt8tpArtUWkTSYrVh/RF5cPXySX0wtEPlp+EvjeoEi03YKydl+rfzRf925X+YHhnSFq+tO44si/yH/OYuQZXWbbkijRxkEFHdVFehVyokKCFVO1lCVSoGClUJ8iifSY6IiKgqXNCikV38fKutUu6ahdL8yomPrgEAaA6uwB1t5NnLXl93HDj1h7w/YohDciEEpn+zH1mFRng6qzGgXdVPySYNiMBDg9pctqz3x4QhtqMcAHUL8cB/bu142WOIiKhxXbyOGBHR1Y4BTCOr2ESvhQnhiiz5TUn1/b0B4BnNGqgUEvadyUPiiQPyxvbDHdJsO5WNjUczoFEpsHBMd4fB1nWhUyvx6cQ+GOiSiu8f6W+fKpaIiJqPhlxPpaGCIwZdRHQlGMA0soo9yNpLKVDaLgxoLcmv+gA/udUjIPknxITLYxN+N7QFtO5A6xiHpJ9tTwIATOjXGsM61m5dmEvRKaxXHAwR1VZDVnBYKaPqtMTvXUNqqOCIi1gS0ZVgrbSRVRwDE6U4B9jkKXEdupD1f0KehQwAbnhRXhfGZsFNwXKws8kaLQcvyvIWEauQsO2U3JpT3QDSOmvIwfZE1WjICg4rZeVaYqW6IbXE7x0R0bWGg/gbWcUxMJHSeSAvWV7AsqwFZuxXQMdR8vyiJXmAszewbwWQl4wBrqkAvHFUhMMWWOIQfRbb5DU/PJ3VCK/FgNoaaaDB9qw4tXz8DFu+ltj9qKHzJiKi5o0BTCOr2IXMHRcWYfvqLthDG51neULnC7OEecnTbrY2nYYaHiiFFqnu3RBSIV+DTW6NifR3bZLVzOuCTyNbPn6GjaclVtjZmkFERA2BXcgaWcXgQi1VXPVanmXs4mmRAQDe8oxhqpyTaC3JqzgnKh3XEjDY5Fi0nb8rqGXi02q6FFbYiYiIZAxgGlnFthENLJUTlLXAVHQhgEH8b2gjpQIAEktcHJIUXWiBaefvuFjYtaolBgN8Wk1ERER0eQxgGlnFQfxVBjBVtsCUt7aUBTD/phTYt5mtNhRa5dWxI9kCA4DBABEREdHVigFMI6s4PEUD80U7lYCmigDEMwxQyF3E2kppAIAfD5zH//15CgDw5c4zKBUqeDmr0bO1Z0MUm4iIiIioWWAA08gqBjDqi1tgAjo5JrAn1AEdRwMABikP2zf/dFBujflq9xkAwFM3RXGxSSIiIiK6qjGAaWQOXcikiwKYW9+t/sABTwAAglQG7JszGACQkFmEhMwiJGbJs5nd2q1hpjsmIiIiImouOI1yE7K3wCg1wJRNQHCP6hMH9wQe+BnQusLHww1tfF2QmG1A7KKtAAAXrRKezpqGLzQRERERURNiANPIHAfxXxgD0/q6SwcvZdoMsf8YHeaFxGyD/b2XE4MXIiIiIrr6sQtZI3McxH+hBUbtXOt87o4OQYC71v7ez40BDBERERFd/dgC08iqnEZZpat1Pv3a+GD3C7Gw2QQyC434z0+HL38QEREREVELxxaYRlZxjjG1VPcWmDIKhYRAj9oHQLXBVdyJiIiIqLlgANPIqlwHRu3UNIWpIS7cSERERETNBQOYRma1CfvPGljlH5p5AENERERE1FwwgGlkFocApqwFpu5dyIiIiIiIriUMYBqZ2Wqz/2xfB8bFr4lKQ0RERETUsjCAaWQWa3kLjGrk60C7WKDXA01YIiIiIiKiloPTKDeyii0wuO5R+UVERERERDXCFphGZq7QAkNERERERLXDAKaRWWy2yyciIiIiIqIqMYBpZBa2wBARERER1RkDmEZmZgsMEREREVGdNYsA5oMPPkB4eDh0Oh369euHf/75p0bHrVy5EpIk4fbbb3fYPmnSJEiS5PAaMWJEA5S89tgCQ0RERERUd00ewKxatQqzZ8/GvHnzsH//fnTv3h3Dhw9HZmbmJY9LTk7G008/jUGDBlW5f8SIEUhLS7O/vv3224Yofq1xED8RERERUd01eQCzaNEiTJ06FZMnT0anTp2wZMkSODs7Y9myZdUeY7VaMWHCBMyfPx9t2rSpMo1Wq0VgYKD95eXl1VCXUCsO0ygTEREREVGtNGkAYzKZsG/fPsTGxtq3KRQKxMbGYufOndUe9/LLL8Pf3x9TpkypNs2WLVvg7++PqKgoPProo8jJyak2rdFohF6vd3g1FAsDGCIiIiKiOmvSACY7OxtWqxUBAQEO2wMCApCenl7lMdu3b8dnn32GTz75pNp8R4wYgS+++AJxcXF48803sXXrVowcORJWq7XK9AsWLICHh4f9FRoaWveLugyzjV3IiIiIiIjqStXUBaiNwsJC3H///fjkk0/g6+tbbbpx48bZf+7atSu6deuGtm3bYsuWLRg2bFil9HPmzMHs2bPt7/V6fYMFMWyBISIiIiKquyYNYHx9faFUKpGRkeGwPSMjA4GBgZXSnz59GsnJyRg1apR9m+3CtMQqlQrx8fFo27ZtpePatGkDX19fJCQkVBnAaLVaaLXaK72cGmEDDBERERFR3TVpFzKNRoPo6GjExcXZt9lsNsTFxSEmJqZS+g4dOuDw4cM4ePCg/TV69GgMHToUBw8erLbVJCUlBTk5OQgKCmqwayEiIiIioobX5F3IZs+ejYkTJ6J3797o27cvFi9eDIPBgMmTJwMAHnjgAbRq1QoLFiyATqdDly5dHI739PQEAPv2oqIizJ8/H3fddRcCAwNx+vRpPPvss2jXrh2GDx/eqNdGRERERET1q8kDmLFjxyIrKwtz585Feno6evTogQ0bNtgH9p89exYKRc0bipRKJQ4dOoTPP/8c+fn5CA4Oxk033YRXXnml0bqJERERERFRw5CEEByVcRG9Xg8PDw8UFBTA3d29XvMOf/43+8/Jb9xSb/k+9PkefDqxT73lR0RE1NI05N9vImo+mnwhSyIiIiIioppiAENERERERC0GA5hG9tGEXnDTqbB8Mrt7ERERERHVVpMP4r/WjOwahOGdA6FQSE1dFCIiIiKiFoctME2AwQsRERERUd0wgLlKjOoe3NRFICIiIiJqcAxgrhK39WjV1EUgIiIiImpwDGCIiIiIiKjFYABDREREREQtBgMYIiIiIiJqMRjAEBERERFRi8EAhoiIiIiIWgwGMERERERE1GIwgCEiIiIiohaDAQwREREREbUYqqYuQHMkhAAA6PX6Ji4JERER1VTZ3+2yv+NEdHViAFOFwsJCAEBoaGgTl4SIiIhqq7CwEB4eHk1dDCJqIJLgY4pKbDYbUlNT4ebmBkmS6i1fvV6P0NBQnDt3Du7u7vWWLznifW4cvM+Nh/e6cfA+N46GvM9CCBQWFiI4OBgKBXvJE12t2AJTBYVCgZCQkAbL393dnX8cGwHvc+PgfW48vNeNg/e5cTTUfWbLC9HVj48niIiIiIioxWAAQ0RERERELQYDmEak1Woxb948aLXapi7KVY33uXHwPjce3uvGwfvcOHifiehKcRA/ERERERG1GGyBISIiIiKiFoMBDBERERERtRgMYIiIiIiIqMVgAENERERERC0GA5hG8sEHHyA8PBw6nQ79+vXDP//809RFalH++usvjBo1CsHBwZAkCT/99JPDfiEE5s6di6CgIDg5OSE2NhanTp1ySJObm4sJEybA3d0dnp6emDJlCoqKihrxKpq/BQsWoE+fPnBzc4O/vz9uv/12xMfHO6QpLS3F9OnT4ePjA1dXV9x1113IyMhwSHP27FnccsstcHZ2hr+/P5555hlYLJbGvJRm76OPPkK3bt3si/nFxMRg/fr19v28zw3jjTfegCRJmDVrln0b7/WVe+mllyBJksOrQ4cO9v28x0RUnxjANIJVq1Zh9uzZmDdvHvbv34/u3btj+PDhyMzMbOqitRgGgwHdu3fHBx98UOX+t956C++99x6WLFmC3bt3w8XFBcOHD0dpaak9zYQJE3D06FFs2rQJv/76K/766y9MmzatsS6hRdi6dSumT5+OXbt2YdOmTTCbzbjppptgMBjsaZ588kn88ssv+O6777B161akpqbizjvvtO+3Wq245ZZbYDKZsGPHDnz++edYsWIF5s6d2xSX1GyFhITgjTfewL59+7B3717ccMMNuO2223D06FEAvM8NYc+ePVi6dCm6devmsJ33un507twZaWlp9tf27dvt+3iPiaheCWpwffv2FdOnT7e/t1qtIjg4WCxYsKAJS9VyARA//vij/b3NZhOBgYHi7bfftm/Lz88XWq1WfPvtt0IIIY4dOyYAiD179tjTrF+/XkiSJM6fP99oZW9pMjMzBQCxdetWIYR8X9Vqtfjuu+/saY4fPy4AiJ07dwohhFi3bp1QKBQiPT3dnuajjz4S7u7uwmg0Nu4FtDBeXl7i008/5X1uAIWFhSIyMlJs2rRJDBkyRMycOVMIwe90fZk3b57o3r17lft4j4movrEFpoGZTCbs27cPsbGx9m0KhQKxsbHYuXNnE5bs6pGUlIT09HSHe+zh4YF+/frZ7/HOnTvh6emJ3r1729PExsZCoVBg9+7djV7mlqKgoAAA4O3tDQDYt28fzGazw73u0KEDWrdu7XCvu3btioCAAHua4cOHQ6/X21sXyJHVasXKlSthMBgQExPD+9wApk+fjltuucXhngL8TtenU6dOITg4GG3atMGECRNw9uxZALzHRFT/VE1dgKtddnY2rFarw3/KABAQEIATJ040UamuLunp6QBQ5T0u25eeng5/f3+H/SqVCt7e3vY05Mhms2HWrFkYMGAAunTpAkC+jxqNBp6eng5pL77XVX0WZfuo3OHDhxETE4PS0lK4urrixx9/RKdOnXDw4EHe53q0cuVK7N+/H3v27Km0j9/p+tGvXz+sWLECUVFRSEtLw/z58zFo0CAcOXKE95iI6h0DGCKq0vTp03HkyBGHfuxUv6KionDw4EEUFBTg+++/x8SJE7F169amLtZV5dy5c5g5cyY2bdoEnU7X1MW5ao0cOdL+c7du3dCvXz+EhYVh9erVcHJyasKSEdHViF3IGpivry+USmWl2VYyMjIQGBjYRKW6upTdx0vd48DAwEqTJlgsFuTm5vJzqMKMGTPw66+/YvPmzQgJCbFvDwwMhMlkQn5+vkP6i+91VZ9F2T4qp9Fo0K5dO0RHR2PBggXo3r073n33Xd7nerRv3z5kZmaiV69eUKlUUKlU2Lp1K9577z2oVCoEBATwXjcAT09PtG/fHgkJCfw+E1G9YwDTwDQaDaKjoxEXF2ffZrPZEBcXh5iYmCYs2dUjIiICgYGBDvdYr9dj9+7d9nscExOD/Px87Nu3z57mzz//hM1mQ79+/Rq9zM2VEAIzZszAjz/+iD///BMREREO+6Ojo6FWqx3udXx8PM6ePetwrw8fPuwQMG7atAnu7u7o1KlT41xIC2Wz2WA0Gnmf69GwYcNw+PBhHDx40P7q3bs3JkyYYP+Z97r+FRUV4fTp0wgKCuL3mYjqX1PPInAtWLlypdBqtWLFihXi2LFjYtq0acLT09NhthW6tMLCQnHgwAFx4MABAUAsWrRIHDhwQJw5c0YIIcQbb7whPD09xdq1a8WhQ4fEbbfdJiIiIkRJSYk9jxEjRoiePXuK3bt3i+3bt4vIyEgxfvz4prqkZunRRx8VHh4eYsuWLSItLc3+Ki4utqd55JFHROvWrcWff/4p9u7dK2JiYkRMTIx9v8ViEV26dBE33XSTOHjwoNiwYYPw8/MTc+bMaYpLaraef/55sXXrVpGUlCQOHToknn/+eSFJkvj999+FELzPDaniLGRC8F7Xh6eeekps2bJFJCUlib///lvExsYKX19fkZmZKYTgPSai+sUAppG8//77onXr1kKj0Yi+ffuKXbt2NXWRWpTNmzcLAJVeEydOFELIUyn/97//FQEBAUKr1Yphw4aJ+Ph4hzxycnLE+PHjhaurq3B3dxeTJ08WhYWFTXA1zVdV9xiAWL58uT1NSUmJeOyxx4SXl5dwdnYWd9xxh0hLS3PIJzk5WYwcOVI4OTkJX19f8dRTTwmz2dzIV9O8PfjggyIsLExoNBrh5+cnhg0bZg9ehOB9bkgXBzC811du7NixIigoSGg0GtGqVSsxduxYkZCQYN/Pe0xE9UkSQoimafshIiIiIiKqHY6BISIiIiKiFoMBDBERERERtRgMYIiIiIiIqMVgAENERERERC0GAxgiIiIiImoxGMAQEREREVGLwQCGiIiIiIhaDAYwRERERETUYjCAISKqg5deegk9evRo6mIQERFdcxjAEFGDmzRpEm6//fYap5ckCT/99FODlae2qirP008/jbi4uKYpEBER0TVM1dQFICJqKGazGWq1ukHydnV1haura4PkTURERNVjCwwRNarrr78eTzzxBJ599ll4e3sjMDAQL730kn1/eHg4AOCOO+6AJEn29wCwdu1a9OrVCzqdDm3atMH8+fNhsVjs+yVJwkcffYTRo0fDxcUFr732GqxWK6ZMmYKIiAg4OTkhKioK7777bqVyLVu2DJ07d4ZWq0VQUBBmzJhxyfJc3IXMZrPh5ZdfRkhICLRaLXr06IENGzbY9ycnJ0OSJKxZswZDhw6Fs7Mzunfvjp07d17ZDSUiIrrGMIAhokb3+eefw8XFBbt378Zbb72Fl19+GZs2bQIA7NmzBwCwfPlypKWl2d9v27YNDzzwAGbOnIljx45h6dKlWLFiBV577TWHvF966SXccccdOHz4MB588EHYbDaEhITgu+++w7FjxzB37ly88MILWL16tf2Yjz76CNOnT8e0adNw+PBh/Pzzz2jXrt0ly3Oxd999FwsXLsQ777yDQ4cOYfjw4Rg9ejROnTrlkO7FF1/E008/jYMHD6J9+/YYP368QxBGRERElyGIiBrYxIkTxW233SaEEGLIkCFi4MCBDvv79OkjnnvuOft7AOLHH390SDNs2DDx+uuvO2z78ssvRVBQkMNxs2bNumx5pk+fLu666y77++DgYPHiiy9Wm76q8sybN090797dIY/XXnvNIU2fPn3EY489JoQQIikpSQAQn376qX3/0aNHBQBx/Pjxy5aZiIiIZBwDQ0SNrlu3bg7vg4KCkJmZeclj/v33X/z9998OLS5WqxWlpaUoLi6Gs7MzAKB3796Vjv3ggw+wbNkynD17FiUlJTCZTPbuX5mZmUhNTcWwYcPqfD16vR6pqakYMGCAw/YBAwbg33//ddhW8dqDgoLsZejQoUOdz09ERHQtYQBDRI3u4oH1kiTBZrNd8piioiLMnz8fd955Z6V9Op3O/rOLi4vDvpUrV+Lpp5/GwoULERMTAzc3N7z99tvYvXs3AMDJyamul1EnFa9dkiQAuOy1ExERUTkGMETU7KjValitVodtvXr1Qnx8vH1sSk39/fff6N+/Px577DH7ttOnT9t/dnNzQ3h4OOLi4jB06NAal6cid3d3BAcH4++//8aQIUMczt23b99alZeIiIgujQEMETU7ZQHFgAEDoNVq4eXlhblz5+LWW29F69atcffdd0OhUODff//FkSNH8Oqrr1abV2RkJL744gts3LgRERER+PLLL7Fnzx5ERETY07z00kt45JFH4O/vj5EjR6KwsBB///03Hn/88WrLc7FnnnkG8+bNQ9u2bdGjRw8sX74cBw8exNdff13/N4iIiOgaxlnIiKjZWbhwITZt2oTQ0FD07NkTADB8+HD8+uuv+P3339GnTx9cd911+N///oewsLBL5vXwww/jzjvvxNixY9GvXz/k5OQ4tMYAwMSJE7F48WJ8+OGH6Ny5M2699VaH2cOqKs/FnnjiCcyePRtPPfUUunbtig0bNuDnn39GZGTkFd4NIiIiqkgSQoimLgQREREREVFNsAWGiIiIiIhaDAYwRERERETUYjCAISIiIiKiFoMBDBERERERtRgMYIiIiIiIqMVgAENERPT/7d13WBRX+zfw79IX2aWXhVBEAdFIEwugohGCRomax0jQCETUWNEodiPYk6gRjSUaHyVRjBr9maJoLBElGI0NbAhCQBKFYFcEROB+//BlHoa2C6IEc3+ua6+LnTnnzD2zMztz78w5MMYYazY4gWGMMcYYY4w1G5zAMMYYY4wxxpoNTmAYY4wxxhhjzQYnMIwxxhhjjLFmgxMYxhhjjDHGWLPBCQxjjDHGGGOs2eAEhjHGGGOMMdZscALDGGOMMcYYazY4gWGMMcYYY4w1G5zAMMYYY4wxxpoNTmAYY4wxxhhjzQYnMIwxxhhjjLFmgxMYxhhjjDHGWLPBCQxjjDHGGGOs2eAEhjHGGGOMMdZscALDGGOMMcYYazY4gWGMMcYYY4w1G5zAMMYYY4wxxpoNjaYOoLkoKyvD06dPmzoMxhhjjDHGXimamppQV1dXuTwnMEoQEfLy8nD//v2mDoUxxhhjjLFXkoGBASwsLCCRSJSW5QRGiYrkxczMDLq6uiptVMYYY4wxxphyRITCwkLk5+cDABQKhdI6nMDUoaysTEhejI2NmzocxhhjjDHGXjlSqRQAkJ+fDzMzM6WPk3En/jpU9HnR1dVt4kgYY4wxxhh7dVVcb6vS55wTGBXwY2OMMcYYY4y9OPW53uYE5iWK/yO+qUNgjDHGGGOsWeME5iXan7W/qUNoUiUlJWjdujVOnDjRqO326NEDkyZNatQ2G1t0dDTc3NyaOowGqSn26OhomJubQyKR4Pvvv2+SuFRVOcbs7GxIJBIkJyc3aUyseRy3L8I/ab1f5eOhOXw3vSixsbEwMDBo6jAaRdV1ac7n0n+yF71db9++DTMzM/z111+N1iYnMK+gJUuWoGPHjpDJZDAzM8OAAQOQlpbW1GHhyy+/RMuWLeHt7d3UobDnkJqainnz5mH9+vXIzc1Fnz59mjqkOjVVjN999x3atGkDHR0dtG/fHvHxyu/AJiQkwMPDA9ra2mjdujViY2NF86OjoyGRSESvNm3avKA1YE0hNzcXQ4YMgaOjI9TU1F5osmNtbY3c3Fy8/vrrKtf5p11A1hZPc/huelGCgoKQnp7e1GG8EJGRkThy5EhTh8Gq2LBhA3r06AG5XA6JRFLtX4+YmJggJCQEUVFRjbZMTmBeQceOHcO4ceNw8uRJHDp0CE+fPsWbb76Jx48fN1lMRITVq1cjPDy8yWJo7v4p/0g1MzMTANC/f39YWFhAW1u7iSOqW1PEeOLECQQHByM8PBznz5/HgAEDMGDAAFy6dKnWOllZWejbty969uyJ5ORkTJo0CSNGjMDPP/8sKteuXTvk5uYKr19//fWFrENJSckLaZfV7cmTJzA1NcWcOXPg6ur6Qpelrq4OCwsLaGi8/AFJX/T+1Ry+m14UqVQKMzOzpg4DZWVlKC8vb9Q29fT0/hGjwvL3o1hhYSF69+6NWbNm1Vrmgw8+QFxcHO7evdsoy+QE5hV04MABhIWFoV27dnB1dUVsbCxycnJw9uxZleqXl5fjtddew7p160TTz58/DzU1NVy/fh2RkZHo16+fMC8mJgYSiQQHDhwQprVu3RobN24EAJw9exaZmZno27dvg9YpKSkJPXr0gK6uLgwNDREQEIB79+4J80tLSzF+/Hjo6+vDxMQEH3/8MYhIpbafPHmCyMhIWFlZoUWLFujcuTMSEhIAAMXFxWjXrh1GjRollM/MzIRMJsOmTZsA/O8W9/fffw8HBwfo6OggICAAf/75Z63LLC8vx/z58/Haa69BW1sbbm5uom1X8WjHjh074OvrCx0dHcTFxQEANm7cCGdnZ+jo6KBNmzZYu3atyttx+vTpcHR0hK6uLuzt7fHxxx9XS4w++eQTmJubQyaTITw8HMXFxcK86OhoBAYGAgDU1NQaZYCLH374AR4eHtDR0YG9vT3mzZuH0tJSYb5EIsG6devQp08fSKVS2NvbY9euXcL8kpISjB8/HgqFAjo6OrC1tcWSJUtE9et6lOTYsWPo1KkTtLW1oVAoMGPGDNHye/TogYiICEybNg1GRkawsLBAdHR0neu0cuVK9O7dG1OnToWzszMWLFgADw8PrF69utY6FXcoly9fDmdnZ4wfPx6DBg3CihUrROU0NDRgYWEhvExMTOqMRVV2dnZYsGABQkJCIJfLhX1e2T5T8Qv4li1bYGdnB319fbz33nt49OiRUObx48cICQmBnp4eFAoFli9fXm359+7dQ0hICAwNDaGrq4s+ffrg2rVrwvyK42zv3r1wcnKCrq4uBg0ahMLCQnz99dews7ODoaEhIiIiUFZWptI6r127Vjhmzc3NMWjQIGFeeXk5lixZgpYtW0IqlcLV1VW03wHApUuX0KdPH+jp6cHc3BzDhg3D7du367XeVdnZ2WHlypUICQmBvr6+SuvRUFUfIUtISIBEIsGRI0fg6ekJXV1deHt7C3fwY2NjMW/ePKSkpAh3ACvuEt6/fx8jRoyAqakp5HI53njjDaSkpAjLqthPNm7ciJYtW0JHRwfAs/NV165dYWBgAGNjY/Tr10/4kaTCX3/9heDgYBgZGaFFixbw9PTEqVOn6oyn6nF/8eJFvPHGG5BKpTA2NsaoUaNQUFAgzA8LC8OAAQOwbNkyKBQKGBsbY9y4caJ9va79pao7d+4gODgYVlZW0NXVRfv27fHtt98K82/dugULCwssXrxYmHbixAloaWk99x2Gmh4hW7hwIczMzCCTyTBixAjMmDFDdOdKlfVX9Rj98ccf0bZtW2hrayMnJ6fOc2x9Vb3jpkrcypav7LMCnp0Hxo8fj0mTJsHExAQBAQHVYlPlekEVCQkJ6NSpE1q0aAEDAwP4+Pjg+vXrwnxl50xlxyJQ93m+ISZNmoQZM2agS5cutZZp164dLC0tsWfPnudaloBYrYqKiujKlStUVFQkTCsvL6fHJY8b9BpzcEyD65aXlzd4Pa5du0YA6OLFiyrXiYyMpK5du4qmTZkyRZj2448/kr6+PpWWlhIR0YABA8jExISmT59ORER//fUXAaBr164REdHnn39Obdq0aVD858+fJ21tbRozZgwlJyfTpUuX6IsvvqBbt24REZGvry/p6enRxIkT6erVq7R161bS1dWlDRs2qNT+iBEjyNvbm44fP04ZGRm0dOlS0tbWpvT0dGH5Wlpa9P3331NpaSl16dKFBg4cKNTfvHkzaWpqkqenJ504cYLOnDlDnTp1Im9vb6FMVFQUubq6Cu8///xzksvl9O2339LVq1dp2rRppKmpKSwzKyuLAJCdnR3t3r2b/vjjD7p58yZt3bqVFAqFMG337t1kZGREsbGxKq3rggULKCkpibKysujHH38kc3Nz+vTTT4X5O3bsIG1tbdq4cSNdvXqVZs+eTTKZTIj90aNHtHnzZgJAubm5lJubq9Jya3P8+HGSy+UUGxtLmZmZdPDgQbKzs6Po6GihDAAyNjamr776itLS0mjOnDmkrq5OV65cISKipUuXkrW1NR0/fpyys7MpMTGRtm3bJqq/Z88e0XY9f/48ET3bT3V1dWns2LGUmppKe/bsIRMTE4qKihLq+/r6klwup+joaEpPT6evv/6aJBIJHTx4sNb1sra2phUrVoimzZ07l1xcXGqt061bN5o4caJo2qZNm0gulwvvo6KiSFdXlxQKBbVs2ZKGDBlC169fr7XN+rC1tSW5XE7Lli2jjIwMysjIICLl+0xUVBTp6enRO++8QxcvXqTjx4+ThYUFzZo1SygzZswYsrGxocOHD9OFCxeoX79+JJPJROv79ttvk7OzMx0/fpySk5MpICCAWrduTSUlJUT0v+PM39+fzp07R8eOHSNjY2N68803afDgwXT58mX66aefSEtLi7Zv3650fU+fPk3q6uq0bds2ys7OpnPnztHKlSuF+QsXLqQ2bdrQgQMHKDMzkzZv3kza2tqUkJBARET37t0jU1NTmjlzJqWmptK5c+fI39+fevbsWa/1rouvr6/KZRui6vFw9OhRAkCdO3emhIQEunz5MnXr1k34LissLKQpU6ZQu3bthOO/sLCQiIj8/PwoMDCQTp8+Tenp6TRlyhQyNjamO3fuENGz/aRFixbUu3dvOnfuHKWkpBAR0a5du2j37t107do1On/+PAUGBlL79u2prKyMiJ5959jb21O3bt0oMTGRrl27Rjt27KATJ07UGU/l476goIAUCoWwjx45coRatmxJoaGhwrYIDQ0luVxOo0ePptTUVPrpp59E5xFl+0tVf/31Fy1dupTOnz9PmZmZtGrVKlJXV6dTp04JZfbt20eampp0+vRpevjwIdnb29NHH330nJ/qs2NFX19feL9161bS0dGhTZs2UVpaGs2bN4/kcrnonKRs/YlUP0a9vb0pKSmJrl69So8fP1Z6jq3PulQ9l6oSt7Llq/JZVVxnTJ06la5evUpXr16tMV5l1wvKPH36lPT19SkyMpIyMjLoypUrFBsbK3zPq3LOVHYsKjvPEz3bZ1q0aFHn6/jx49Xir/gOuXfvXo3rFxQUJDruqqrpurs2nMDUoaYN+bjkMb0e+/pLfz0uedygdSgrK6O+ffuSj49PveqdP3+eJBKJcNCUlZWRlZUVrVu3joienbzV1NTo9OnTVF5eTkZGRrRkyRLq3LkzET3b+a2srIT2Jk6cSG+88UaD1iE4OLjO+H19fcnZ2VmU5E2fPp2cnZ2Vtn39+nVSV1enGzduiKb36tWLZs6cKbz/7LPPyMTEhMaPH08KhYJu374tzKu4oD958qQwLTU1lQAIX4BVv3QtLS1p0aJFomV27NiRxo4dS0T/u7CIiYkRlWnVqpXo4pzo2QWml5eX0nWtydKlS6lDhw7Cey8vLyGGCp07dxbFvmfPHmqs3z569epFixcvFk3bsmULKRQK4T0AGj16dLWYxowZQ0REEyZMoDfeeKPWJL+uBGbWrFnk5OQkqrtmzRrS09MTLqB8fX2rJfMdO3YUkvWaaGpqVvuc1qxZQ2ZmZrXWcXBwqLYt9u3bRwCEi7L4+HjauXMnpaSk0IEDB8jLy4tsbGzo4cOHtbarKltbWxowYIDSclX3mYqkqnIMU6dOFb4LHj16RFpaWrRz505h/p07d0gqlQoX5+np6QSAkpKShDK3b98mqVQq1Ks4zioSKyKiDz/8kHR1denRo0fCtICAAPrwww+Vrsfu3btJLpfXuO2Ki4tJV1eXTpw4IZoeHh5OwcHBRPTsuHvzzTdF8//8808CQGlpaSqttzJNlcAcPnxYKFOxD1acB6t+lxERJSYmklwup+LiYtH0Vq1a0fr164V6mpqalJ+fX2dMt27dEv3gtn79epLJZMLFV1U1xUMkPu43bNhAhoaGVFBQIFovNTU1ysvLI6JnF8K2trbCj3JERO+++y4FBQURUd37i6r69u1LU6ZMEU0bO3YsOTo60pAhQ6h9+/bVtmFDVL3o79y5M40bN05UxsfHp1oiUNf61+cYTU5OFsqoeo5VdV1qSmDqiruhy6/6Wfn6+pK7u7vSeInqvl5Q5s6dOwRA+KGkKmXnTFWORVXO8w8fPqRr167V+ao4L1WmLIH56KOPqEePHrWuf30SGH6E7BU3btw4XLp0Cdu3b69XPTc3Nzg7O2Pbtm0Anj1mk5+fj3fffRcAYGBgAFdXVyQkJODixYvQ0tLCqFGjcP78eRQUFODYsWPw9fUV2isqKhIeGahQ8eiFnp4e2rVrB+DZLcaKaRUdMJOTk9GrV6864+3SpYvocSYvLy9cu3ZN6aMkFy9eRFlZGRwdHYXl6unp4dixY6LHGKZMmQJHR0esXr0amzZtqvYMroaGBjp27Ci8b9OmDQwMDJCamlptmQ8fPsTNmzfh4+Mjmu7j41OtvKenp/D348ePkZmZifDwcFGsCxcurPbIRW127NgBHx8fWFhYQE9PD3PmzEFOTo4wPzU1FZ07dxbV8fLyUqntymr6HCvHPHr0aABASkoK5s+fL5o3cuRI5ObmorCwsNYYvLy8hG0VFhaG5ORkODk5ISIiAgcPHlQ5ztTUVHh5eYn2HR8fHxQUFIhGS3FxcRHVUygUyM/PV3k5jaVPnz5499134eLigoCAAMTHx+P+/fvYuXNnjeUTExNF2zYuLg5xcXGiaYmJiUL5yvtbBWX7DPDssSeZTCa8r7x9MjMzUVJSItqvjIyM4OTkJLxPTU2FhoaGqIyxsTGcnJxEx4Suri5atWolvDc3N4ednR309PRE01T5bPz9/WFrawt7e3sMGzYMcXFxwj6XkZGBwsJC+Pv7i7bVN998IxxrKSkpOHr0qGh+xYAKmZmZKq33i7J48WJRXDk5ORg9erRoWl0q7+8KhQIA6tymKSkpKCgogLGxsWgZWVlZou8mW1tbmJqaiupeu3YNwcHBsLe3h1wuh52dHQAI+1hycjLc3d1hZGRUr21QWWpqKlxdXdGiRQthmo+PD8rLy0UD3LRr1070378r78d17S81KSsrw4IFC9C+fXsYGRlBT08PP//8c7VjZ9myZSgtLcV3332HuLi4OvvtqHrOrCotLQ2dOnUSTav6Xtn6q3qMamlpifYfVc+xz6OuuFVZvqqfVYcOHVSKR9n1Ql2MjIwQFhaGgIAABAYGYuXKlcjNzRXmKztnqnIsqnKel8lkaN26dZ0vqVSq8npVkEqldR439fHye+41c1INKU4NOdWgupEJkVjWY1mDl1tf48ePx969e3H8+HG89tpr9a4/dOhQbNu2DTNmzMC2bdvQu3dv0YHYo0cPJCQkQFtbG76+vjAyMoKzszN+/fVXHDt2DFOmTBHKmpiY4OLFi6L2N27ciKKiIgCApqYmACA+Pl54drXi4GjIQaKqgoICqKur4+zZs6IvQACik3x+fj7S09Ohrq6Oa9euoXfv3i8spsoqn3Arntf+6quvqn35VI29Jr/99huGDh2KefPmISAgAPr6+ti+fbtKz+XXV02fY+WhWuVyOYBn6zRv3jy888471dqomvDWxsPDA1lZWdi/fz8OHz6MwYMHw8/Pr1p/hedRsX9WkEgkdXZOtbCwwN9//y2a9vfff8PCwqLedeRyea3HgIGBARwdHZGRkVHjfE9PT9F2Nzc3BwDR/mNlZSX8XXl/A1TfZ+q7fRqqpuU0dNkymQznzp1DQkICDh48iLlz5yI6OhqnT58WjrV9+/aJtg8A4QKzoKAAgYGB+PTTT6u1rVAoav1MXobRo0dj8ODBwntLS0vMnz8fkZGRKtWvvE0rkvu6tmlBQQEUCkWN/Roq98Woun8BQGBgIGxtbfHVV1/B0tIS5eXleP3114VO0i/y+7+quvaluvaXmoYsXrp0KVauXImYmBi0b98eLVq0wKRJk6p1/s7MzMTNmzdRXl6O7OxstG/fvtb4VD1nNlRjHMdSqVT0g5Cq59jnUVfcqixf1c+qpv23Js97vbB582ZERETgwIED2LFjB+bMmYNDhw6hS5cuSs+Zqh6LysTFxeHDDz+ss8z+/fvRrVs3ldsEgLt371b7EaOhOIGpJ4lEAl1N3QbVVVdTb3Dd+iAiTJgwAXv27EFCQgJatmzZoHaGDBmCOXPm4OzZs9i1axe+/PJL0XxfX19s2rQJGhoawgHao0cPfPvtt0hPT0ePHj2Esu7u7li3bh2ISPhyq3phADz7ha4qFxcXHDlyBPPmzas11lOnxEnlyZMn4eDgoPTC3t3dHWVlZcjPz6/zQBw+fDjat2+P8PBwjBw5En5+fnB2dhbml5aW4syZM8KvWmlpabh//76oTAW5XA5LS0skJSWJ7lIlJSXV+KtYBXNzc1haWuKPP/7A0KFD61yvmpw4cQK2traYPXu2MK1yx0AAcHZ2xqlTpxASEiJMO3nyZL2XVdPn2Lp162rTPDw8kJaWVuO8yk6ePFktJnd3d+G9XC5HUFAQgoKCMGjQIPTu3Rt3795V+quts7Mzdu/eLdovk5KSIJPJGpT0V/Dy8sKRI0dEQ+AeOnSozrtZXl5e1YZaVlanoKAAmZmZGDZsWI3zpVJpjdu28t2SuqiyzyjTqlUraGpq4tSpU7CxsQHwrDNwenq6sP87OzujtLQUp06dEoZZv3PnDtLS0tC2bdt6La8+NDQ04OfnBz8/P0RFRcHAwAC//PIL/P39hQ7IlY/Ryjw8PLB7927Y2dnVOIqXKuv9ohgZGVXb983MzBplZCotLa1qd7Y9PDyQl5cHDQ0N4Q6KKio+46+++kr4/q06qp6Liws2btxY6/FcUzxVOTs7IzY2Fo8fPxYuQpOSkqCmplavO2K17S81XUwmJSWhf//+eP/99wE8SwDT09NF+3NJSQnef/99BAUFwcnJCSNGjMDFixdr/ZxUPWdW5eTkhNOnT4u+Q0+fPq20XmUNPUZVPce+KKosX5XPqj6UXS+oGre7uztmzpwJLy8vbNu2DV26dFF6zlTlWFTlPP/2229X+6G0qpr2R2UuXbokujZ8HpzAvILGjRuHbdu24YcffoBMJkNeXh4AQF9fX/iFJiQkBFZWVqLRmqqys7ODt7c3wsPDUVZWhrfffls0v3v37nj06BH27t2LTz75BMCzBGbQoEFQKBRwdHQUyvbs2RMFBQW4fPlyvf7nAADMnDkT7du3x9ixYzF69GhoaWnh6NGjePfdd4URmHJycjB58mR8+OGHOHfuHL744guV7iw4Ojpi6NChCAkJwfLly+Hu7o5bt27hyJEjcHFxQd++fbFmzRr89ttvuHDhAqytrbFv3z4MHToUJ0+ehJaWFoBnvwBNmDABq1atgoaGBsaPH48uXbrUmpBMnToVUVFRaNWqFdzc3LB582YkJycLI43VZt68eYiIiIC+vj569+6NJ0+e4MyZM7h37x4mT55cZ10HBwfk5ORg+/bt6NixI/bt21dtNJCJEyciLCwMnp6e8PHxQVxcHC5fvgx7e3ul27Ih5s6di379+sHGxgaDBg2CmpoaUlJScOnSJSxcuFAo991338HT0xNdu3ZFXFwcfv/9d/z3v/8FAHz++edQKBRwd3eHmpoavvvuO1hYWKj0a9PYsWMRExODCRMmYPz48UhLS0NUVBQmT54MNbWGP2E7ceJE+Pr6Yvny5ejbty+2b9+OM2fOYMOGDUKZmTNn4saNG/jmm28APPvVfPXq1Zg2bRqGDx+OX375BTt37sS+ffuEOpGRkcIv1jdv3kRUVBTU1dURHBzc4Fjroso+o4yenh7Cw8MxdepUGBsbw8zMDLNnzxZtXwcHB/Tv3x8jR47E+vXrIZPJMGPGDFhZWaF///6NvVoAgL179+KPP/5A9+7dYWhoiPj4eJSXl8PJyQkymQyRkZH46KOPUF5ejq5du+LBgwdISkqCXC5HaGgoxo0bh6+++grBwcHCCHUZGRnYvn07Nm7cqNJ616birllBQQFu3bqF5ORkaGlpvdBkTlV2dnbIyspCcnIyXnvtNchkMvj5+cHLywsDBgzAZ599BkdHR9y8eRP79u3DwIEDa3w0EQAMDQ1hbGyMDRs2QKFQICcnBzNmzBCVCQ4OxuLFizFgwAAsWbIECoUC58+fh6WlJby8vGqMp+pjWEOHDkVUVBRCQ0MRHR2NW7duYcKECRg2bJhwV1KZuvaXmjg4OGDXrl04ceIEDA0N8fnnn+Pvv/8WfYazZ8/GgwcPsGrVKujp6SE+Ph7Dhw/H3r17VYpJVRMmTMDIkSPh6ekJb29v7NixAxcuXKjX93pDj1FVzrEvkirLV+WzUpUq1wt1ycrKwoYNG/D222/D0tISaWlpuHbtmpBsKDtnqnIsqnKel8lkKv/QBQB5eXnIy8sT7jxfvHgRMpkMNjY2wg8PhYWFOHv2rGjkveeitJfMv1h9OhOpYvzh8Y3SjjIAanxt3rxZKOPr61vnSBAV1q5dSwAoJCSkxvmurq5kYWEhvL9z5w5JJBJ67733qpUdPHgwzZgxo97rQ0SUkJBA3t7epK2tTQYGBhQQECB0EvP19aWxY8fS6NGjSS6Xk6GhIc2aNUvlkdtKSkpo7ty5ZGdnR5qamqRQKGjgwIF04cIFSk1NJalUKuqQfe/ePbK2tqZp06YR0f86Ge7evZvs7e1JW1ub/Pz8RKNDVe14WFZWRtHR0WRlZUWamprk6upK+/fvF+ZX7VxbWVxcHLm5uZGWlhYZGhpS9+7d6f/+7/9UWtepU6eSsbEx6enpUVBQEK1YsULUQZKIaNGiRWRiYkJ6enoUGhpK06ZNe2Gd+ImIDhw4QN7e3iSVSkkul1OnTp1EI8gAoDVr1pC/vz9pa2uTnZ0d7dixQ5i/YcMGcnNzoxYtWpBcLqdevXrRuXPnRPVr68RP9Gzf6tixI2lpaZGFhQVNnz6dnj59KsyvqSN1//79lR4/O3fuJEdHR9LS0qJ27drRvn37RPNDQ0PJ19dXNO3o0aPCZ2tvby86ZomejeCiUChIS0uLrKysKCgoSNSp/XnY2tpWGzmNSPk+U1Mn6hUrVpCtra3w/tGjR/T++++Trq4umZub02effVZtu969e5eGDRtG+vr6JJVKKSAgQDRKUdXOvLUtOzQ0lPr37690fRMTE8nX15cMDQ1JKpWSi4uLaL8qLy+nmJgYcnJyIk1NTTI1NaWAgAA6duyYUCY9PZ0GDhxIBgYGJJVKqU2bNjRp0iThu0eV9a5JTd/flbdnY6mtE3/lDrjnz58nAJSVlUVEzwY4+M9//kMGBgai88rDhw9pwoQJZGlpSZqammRtbU1Dhw6lnJwcIqq9s/2hQ4fI2dmZtLW1ycXFhRISEkTHLBFRdnY2/ec//yG5XE66urrk6ekpDJBSWzxV27hw4QL17NmTdHR0yMjIiEaOHCka/KGm/WbixInCMapsf6nqzp071L9/f9LT0yMzMzOaM2cOhYSECMs4evQoaWhoUGJioujzkMvltHbt2lrbVUVNx8r8+fOF7/Xhw4dTREQEdenSReX1J2rYMUpU9zm2vutSUyd+ZXErW76yz4pItQE1VLleIKJq12OV5eXl0YABA4TveVtbW5o7d64wqAyR8nOmsmORSPl5vr6ioqKUXndu27aNnJyc6mynPtfdEiIV/1nGv1BxcTGysrJEY9Y/jwlHJuCLXl80QmTN04ULF+Dv74/MzMxGe/b1nyA2NhaTJk2q9p9nWeOQSCTYs2cPBgwY0NShMMbYK8Hf3x8WFhbYsmVLU4fyr5KVlQVHR0dcuXIFDg4OTR3OS9WlSxdERERgyJAhtZapz3U3P0L2EvVpWfMIIf8WLi4u+PTTT5GVlVVnR0XGGGOMNY7CwkJ8+eWXCAgIgLq6Or799lscPnwYhw4daurQ/nXi4+MxatSof13ycvv2bbzzzjuN+rgzD6P8Er1l/1ZTh9DkwsLCXmryUnUY2aqvV0nVoVMrv2obXpOxV9W/6dhnrC4SiQTx8fHo3r07OnTogJ9++gm7d++Gn59fU4cmGhq66qvR+kr8g4wbNw5r1qxp6jBeOhMTE0ybNk00Qt3z4kfI6tDYj5Cxl6+oqAg3btyodb6y0a+ak7t37+Lu3bs1zpNKpQ0aMYSx5urfdOwz1lzduHFDGBq6qppG02OvNn6EjLH/r7ZhZF9F/GXP2P/8m459xpor/mGNNRQ/QsYYY4wxxhhrNjiBYYwxxhhjjDUbnMAwxhhjjDHGmg1OYBhjjDHGGGPNBicwL9PFXU0dAWOMMcYYY80aJzAvEycwjDHGGGOMPRdOYNg/UnZ2NiQSCZKTkwEACQkJkEgkuH//fpPGVZdhw4Y1+T/e6tGjByZNmvTC2j9w4ADc3NxQXl7+wpbBGGOMMVYXTmBeQcePH0dgYCAsLS0hkUjw/fffN6gdiUQivDQ0NGBjY4PJkyfjyZMnjRuwCry9vZGbmwt9fX0AQGxsLAwMDKqVs7OzQ0xMTLXp0dHRcHNzE03Ly8vDhAkTYG9vD21tbVhbWyMwMBBHjhwRtVexDdTV1WFpaYnw8HDcu3dP1FZKSgri4+MRERHx3OvalCIiItChQwdoa2tX214A0Lt3b2hqaiIuLu7lB8cYY4wxBk5gXkmPHz+Gq6sr1qxZ89xtbd68Gbm5ucjKysLatWuxZcsWLFy4sBGirB8tLS1YWFhAIpE0SnvZ2dno0KEDfvnlFyxduhQXL17EgQMH0LNnT4wbN05Udv78+cjNzUVOTg7i4uJw/PjxaonKF198gXfffRd6enqNEl9TGj58OIKCgmqdHxYWhlWrVr3EiBhjjDHG/ocTmPoiAkoeN+xVXtrwukQqh9inTx8sXLgQAwcOfO7VNTAwgIWFBaytrdGvXz/0798f586dE+ZnZmaif//+MDc3h56eHjp27IjDhw+L2rCzs8PixYsxfPhwyGQy2NjYYMOGDaIyv//+O9zd3aGjowNPT0+cP39eNL/yI2QJCQn44IMP8ODBA+HuSHR0dL3Wa+zYsZBIJPj999/xn//8B46OjmjXrh0mT56MkydPisrKZDJYWFjAysoKPXv2RGhoqGgblJWVYdeuXQgMDBTVW7t2LRwcHKCjowNzc3MMGjRImFdeXo4lS5agZcuWkEqlcHV1xa5d4j5Sly5dQp8+faCnpwdzc3MMGzYMt2/fFuY/fvwYISEh0NPTg0KhwPLly+u1DWqyatUqjBs3Dvb29rWWCQwMxJkzZ5CZmfncy2OMMcYYqy+Npg6g2XlaCCy2bHj9htaddRPQatHw5TaC9PR0/PLLLwgLCxOmFRQU4K233sKiRYugra2Nb775BoGBgUhLS4ONjY1Qbvny5ViwYAFmzZqFXbt2YcyYMfD19YWTkxMKCgrQr18/+Pv7Y+vWrcjKysLEiRNrjcPb2xsxMTGYO3cu0tLSAKBedz7u3r2LAwcOYNGiRWjRovo2renRtAo3btzATz/9hM6dOwvTLly4gAcPHsDT01OYdubMGURERGDLli3w9vbG3bt3kZiYKMxfsmQJtm7dii+//BIODg44fvw43n//fZiamsLX1xf379/HG2+8gREjRmDFihUoKirC9OnTMXjwYPzyyy8AgKlTp+LYsWP44YcfYGZmhlmzZuHcuXOiR79Gjx6NrVu31rk9CgoKlG0yERsbG5ibmyMxMRGtWrWqV13GGGOMsefFCQyrU3BwMNTV1VFaWoonT56gX79+mDlzpjDf1dUVrq6uwvsFCxZgz549+PHHHzF+/Hhh+ltvvYWxY8cCAKZPn44VK1bg6NGjcHJywrZt21BeXo7//ve/0NHRQbt27fDXX39hzJgxNcakpaUFfX19SCQSWFhY1HudMjIyQERo06aNSuWnT5+OOXPmoKysDMXFxejcuTM+//xzYf7169ehrq4OMzMzYVpOTg5atGiBfv36QSaTwdbWFu7u7gCAJ0+eYPHixTh8+DC8vLwAAPb29vj111+xfv16+Pr6YvXq1XB3dxcNCrBp0yZYW1sjPT0dlpaW+O9//4utW7eiV69eAICvv/4ar732mij2+fPnIzIyst7bSBlLS0tcv3690dtljDHGGFOGE5j60tR9djekIXaGAoO/bvhym8CKFSvg5+eHsrIyZGRkYPLkyRg2bBi2b98O4Nmv99HR0di3bx9yc3NRWlqKoqIi5OTkiNpxcXER/q5IPPLz8wEAqampcHFxgY6OjlCm4sL+RaB6PI4HPLvTERYWBiLCn3/+iVmzZqFv3744fvw41NXVUVRUBG1tbVH/HH9/f9ja2sLe3h69e/dG7969MXDgQOjq6iIjIwOFhYXw9/cXLaekpERIclJSUnD06NEa7yxlZmaiqKgIJSUlojtBRkZGcHJyEpU1MzMTJVaNRSqVorCwsNHbZYwxxhhThhOY+pJIGv4ol5pGkz8GVl8WFhZo3bo1AMDJyQmPHj1CcHAwFi5ciNatWyMyMhKHDh3CsmXL0Lp1a0ilUgwaNAglJSWidjQ1NUXvJRLJCxmKVy6X48GDB9Wm379/XxjBzMHBARKJBFevXlWpTRMTE2EbODg4ICYmBl5eXjh69Cj8/PxgYmKCwsJClJSUQEtLC8CzfjPnzp1DQkICDh48iLlz5yI6OhqnT58WHtnat28frKysRMvS1tYG8CwxDAwMxKefflotHoVCgYyMDJVifxGPkAHPHsMzNTWtdz3GGGOMsefFCQyrF3V1dQBAUVERACApKQlhYWHCgAEFBQXIzs6uV5vOzs7YsmULiouLhbswVTvSV6WlpYWysrJq052cnHD27Nlq08+dOyfcnTAyMkJAQADWrFmDiIiIav1g7t+/X2c/mKrboKLPyZUrV0T9TzQ0NODn5wc/Pz9ERUXBwMAAv/zyC/z9/aGtrY2cnBz4+vrWuAwPDw/s3r0bdnZ20NCofpi2atUKmpqaOHXqlNDX6N69e0hPTxe1+SIeISsuLkZmZqZwt4gxxhhj7GXiBOYVVFBQIPqFPisrC8nJyTAyMhIudmfOnIkbN27gm2++qbOt+/fvIy8vD+Xl5bh27Rrmz58PR0dHODs7A3h2R+L//u//EBgYCIlEgo8//rjed1aGDBmC2bNnY+TIkZg5cyays7OxbNmyOuvY2dmhoKAAR44cgaurK3R1daGrq4uPPvoI3bp1w6JFi/DOO++grKwM3377LX777TesXbtWqL9mzRr4+PigU6dOmD9/PlxcXFBaWopDhw5h3bp1SE1NFco+evQIeXl5wiNk06ZNg6mpKby9vQEApqam8PDwwK+//iokMHv37sUff/yB7t27w9DQEPHx8SgvL4eTkxNkMhkiIyPx0Ucfoby8HF27dsWDBw+QlJQEuVyO0NBQjBs3Dl999RWCg4Mxbdo0GBkZISMjA9u3b8fGjRuhp6eH8PBwTJ06FcbGxjAzM8Ps2bOhpiYeWLC+j5BlZGSgoKAAeXl5KCoqEv6RaNu2bYW7SydPnoS2tvYLfcyPMcYYY6xWxGpVVFREV65coaKiosZpMC6ocdpR4ujRowSg2is0NFQoExoaSr6+vnW2U7muRCIhhUJBQUFBlJmZKZTJysqinj17klQqJWtra1q9ejX5+vrSxIkThTK2tra0YsUKUduurq4UFRUlvP/tt9/I1dWVtLS0yM3NjXbv3k0A6Pz586J1unfvnlBn9OjRZGxsTABEbf3888/k4+NDhoaGZGxsTD169KBjx45VW7+bN2/SuHHjyNbWlrS0tMjKyorefvttOnr0qCj2ytvB1NSU3nrrLSGuCmvXrqUuXboI7xMTE8nX15cMDQ1JKpWSi4sL7dixQ5hfXl5OMTEx5OTkRJqammRqakoBAQGiONPT02ngwIFkYGBAUqmU2rRpQ5MmTaLy8nIiInr06BG9//77pKurS+bm5vTZZ59V2/b15evrW+O+k5WVJZQZNWoUffjhhw1eBmOMMcZYVfW57pYQ1bNH879IcXExsrKy0LJlS1EH8wbb9h4wZPvzt8P+cYqKiuDk5IQdO3a80ncmbt++DScnJ5w5cwYtW7Zs6nAYY4wx9oqoz3U3/yPLl6n9IOVlWLMklUrxzTffiP7R5KsoOzsba9eu5eSFMcYYY02G78DUodHvwDDGGGOMMcaq4TswjDHGGGOMsVcSJzCMMcYYY4yxZoMTGMYYY4wxxlizwQkMY4wxxhhjrNngBIYxxhhjjDHWbHAC8xL9kHyjqUNgjDHGGGOsWeME5iX6KeVmU4fAGGOMMcZYs8YJDPtHio6Ohpub20tZVklJCVq3bo0TJ068lOXVRiKR4Pvvv39h7c+YMQMTJkx4Ye0zxhhjjL0MnMC8otasWQM7Ozvo6Oigc+fO+P333+tVPzs7GxKJRHgZGRnB19cXiYmJLyjipvPll1+iZcuW8Pb2bupQGiw3NxdDhgyBo6Mj1NTUMGnSpGplIiMj8fXXX+OPP/54+QEyxhhjjDUSTmBeQTt27MDkyZMRFRWFc+fOwdXVFQEBAcjPz693W4cPH0Zubi6OHz8OS0tL9OvXD3///fcLiLppEBFWr16N8PDwpg7luTx58gSmpqaYM2cOXF1dayxjYmKCgIAArFu37iVHxxhjjDHWeDiBqSciQmFJaYNeZeUNr0tEKsf4+eefY+TIkfjggw/Qtm1bfPnll9DV1cWmTZvqvb7GxsawsLDA66+/jlmzZuHhw4c4deqUMH/Lli3w9PSETCaDhYUFhgwZIkqUEhISIJFIcOTIEXh6ekJXVxfe3t5IS0sTLeeTTz6Bubk5ZDIZwsPDUVxcLJpfXl6O+fPn47XXXoO2tjbc3Nxw4MABYX7FHaOdO3eiW7dukEql6NixI9LT03H69Gl4enpCT08Pffr0wa1bt4R6Z8+eRWZmJvr27StMKykpwfjx46FQKKCjowNbW1ssWbJEmH///n2MGDECpqamkMvleOONN5CSkiKK94cffoCHhwd0dHRgb2+PefPmobS0VJh/7do1dO/eHTo6Omjbti0OHTpU349GxM7ODitXrkRISAj09fVrLRcYGIjt27c/17IYY4wxxpqSRlMH0NwUPS1D27k/N7h+Q+temR8AXS3lH1dJSQnOnj2LmTNnCtPU1NTg5+eH3377rUHLBoCioiJ88803AAAtLS1h+tOnT7FgwQI4OTkhPz8fkydPRlhYGOLj40X1Z8+ejeXLl8PU1BSjR4/G8OHDkZSUBADYuXMnoqOjsWbNGnTt2hVbtmzBqlWrYG9vL9RfuXIlli9fjvXr18Pd3R2bNm3C22+/jcuXL8PBwUEoFxUVhZiYGNjY2GD48OEYMmQIZDIZVq5cCV1dXQwePBhz584V7kIkJibC0dERMplMaGPVqlX48ccfsXPnTtjY2ODPP//En3/+Kcx/9913IZVKsX//fujr62P9+vXo1asX0tPTYWRkhMTERISEhGDVqlXo1q0bMjMzMWrUKCG+8vJyvPPOOzA3N8epU6fw4MGDGh/5ateuHa5fv17rZ9KtWzfs379f6WdXWadOnfDXX38hOzsbdnZ29arLGGOMMfZPwAnMK+b27dsoKyuDubm5aLq5uTmuXr1a7/a8vb2hpqaGwsJCEBE6dOiAXr16CfOHDx8u/G1vb49Vq1ahY8eOKCgogJ6enjBv0aJF8PX1BfCsM3nfvn1RXFwMHR0dxMTEIDw8XHiMa+HChTh8+LDoLsyyZcswffp0vPfeewCATz/9FEePHkVMTAzWrFkjlIuMjERAQAAAYOLEiQgODsaRI0fg4+MDAAgPD0dsbKxQ/vr167C0tBStc05ODhwcHNC1a1dIJBLY2toK83799Vf8/vvvyM/Ph7a2thDb999/j127dmHUqFGYN28eZsyYgdDQUGG7LFiwANOmTUNUVBQOHz6Mq1ev4ueffxaWvXjxYvTp00cUR3x8PJ4+fVrrZyOVSmudV5uK5V2/fp0TGMYYY4w1S5zA1JNUUx1X5gc0qO64uHNYM9SjwcttCjt27ECbNm1w6dIlTJs2DbGxsdDU1BTmnz17FtHR0UhJScG9e/dQXl4O4FkS0LZtW6Gci4uL8LdCoQAA5Ofnw8bGBqmpqRg9erRouV5eXjh69CgA4OHDh7h586aQhFTw8fGp9uhW5eVUJHHt27cXTav8iFtRURF0dHREbYSFhcHf3x9OTk7o3bs3+vXrhzfffBMAkJKSgoKCAhgbG4vqFBUVITMzUyiTlJSERYsWCfPLyspQXFyMwsJCpKamwtraWpQ4eXl5oarKiVNjqUh6CgsLG71txhhjjLGXgROYepJIJCo9ylUTdbWG11WViYkJ1NXVq3W0//vvv2FhYVHv9qytreHg4AAHBweUlpZi4MCBuHTpErS1tfH48WMEBAQgICAAcXFxMDU1RU5ODgICAlBSUiJqp3LSI5FIAEBIdhpTTcupOq3yck1MTHDx4kVRGx4eHsjKysL+/ftx+PBhDB48GH5+fti1axcKCgqgUCiQkJBQbdkGBgYAgIKCAsybNw/vvPNOtTJVk6W6vIhHyO7evQsAMDU1rVc9xhhjjLF/Ck5gXjFaWlro0KEDjhw5ggEDBgB4ligcOXIE48ePf662Bw0ahLlz52Lt2rX46KOPcPXqVdy5cweffPIJrK2tAQBnzpypd7vOzs44deoUQkJChGknT54U/pbL5bC0tERSUpLwGBoAJCUloVOnTs+xRoC7uzvWrVsHIhISnoplBgUFISgoCIMGDULv3r1x9+5deHh4IC8vDxoaGrU+guXh4YG0tDS0bt261vX9888/kZubK9yNqry+FV7EI2SXLl2CpqYm2rVrV++6jDHGGGP/BJzAvIImT56M0NBQeHp6olOnToiJicHjx4/xwQcfCGVCQkJgZWUlGl1LGYlEgoiICERHR+PDDz+EjY0NtLS08MUXX2D06NG4dOkSFixYUO94J06ciLCwMHh6esLHxwdxcXG4fPmyqBP/1KlTERUVhVatWsHNzQ2bN29GcnIy4uLi6r28ynr27ImCggJcvnwZr7/+OoBno7gpFAq4u7tDTU0N3333HSwsLGBgYAA/Pz94eXlhwIAB+Oyzz+Do6IibN29i3759GDhwIDw9PTF37lz069cPNjY2GDRoENTU1JCSkoJLly5h4cKF8PPzg6OjI0JDQ7F06VI8fPgQs2fPrhZbfR8hS05OBvDsDtCtW7eQnJwMLS0t0aN8iYmJwihtjDHGGGPNEQ+j/AoKCgrCsmXLMHfuXLi5uSE5ORkHDhwQdezPyclBbm5uvdsODQ3F06dPsXr1apiamiI2Nhbfffcd2rZti08++QTLli1rULwff/wxpk2bhg4dOuD69esYM2aMqExERAQmT56MKVOmoH379jhw4AB+/PFH0QhkDWFsbIyBAweKEiGZTIbPPvsMnp6e6NixI7KzsxEfHw81NTVIJBLEx8eje/fu+OCDD+Do6Ij33nsP169fF7ZvQEAA9u7di4MHD6Jjx47o0qULVqxYISQkampq2LNnD4qKitCpUyeMGDFC1F+modzd3eHu7o6zZ89i27ZtcHd3x1tvvSUqs337dowcOfK5l8UYY4wx1lQkVJ9/MPIvU1xcjKysLLRs2bJefRdqM+Lr09gY2rERImON6cKFC/D390dmZqZo5LRXzf79+zFlyhRcuHABGhp885Uxxhhj/xz1ue7mOzAvUaCrpfJC7KVzcXHBp59+iqysrKYO5YV6/PgxNm/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", "text/plain": [ "
" ] @@ -186,14 +182,10 @@ "source": [ "import coba as cb\n", "\n", - "#Increased the number of interactions from 100 to 500\n", - "env = cb.Environments.from_linear_synthetic(n_interactions=500, n_context_features=1, n_action_features=0, n_actions=5,seed=3)\n", + "env = cb.Environments.from_linear_synthetic(n_interactions=500, n_context_features=1, n_action_features=0, n_actions=5,seed=3).shuffle(n=10)\n", "lrn = [cb.RandomLearner(), cb.BanditUCBLearner(), cb.VowpalEpsilonLearner(features=(1,'a','ax')) ]\n", "\n", - "#Replicating our environment 10 times where the only difference between replications is the interaction order\n", - "env = env.shuffle(n=10)\n", - "\n", - "cb.Experiment(env,lrn).run(quiet=True).plot_learners(err='se')" + "cb.Experiment(env,lrn).run(quiet=True).plot_learners(err='bs')" ] }, { @@ -203,10 +195,10 @@ "source": [ "## Real-Data Experiment\n", "\n", - "The `cb.VowpalEpsilonLearner` looks really good on our synthetic dataset. We are ready tosee how it performs on real-world datasets.\n", + "The `cb.VowpalEpsilonLearner` looks good on the synthetic dataset. We are now ready to see how it performs on real-world datasets.\n", "\n", "For this experiment we're going to do the following:\n", - "1. Use the Feurer benchmark to download 240 classification datasets from openml, which coba will turn into contextual bandit environments. \n", + "1. Use the [Feurer benchmark](https://jmlr.org/papers/v23/21-0992.html) to download 247 classification datasets from openml, which coba will turn into contextual bandit environments. \n", "2. Save the results of our experiment to disk in case we want to look at them again later or resume the experiment if anything goes wrong.\n", "3. Turn on multiprocessing so that Environments and Learners are evaluated in parallel up to our requested processes." ] diff --git a/doc/source/notebooks/First_Application.ipynb b/doc/source/notebooks/First_Application.ipynb index de2b18f9..bafa4923 100644 --- a/doc/source/notebooks/First_Application.ipynb +++ b/doc/source/notebooks/First_Application.ipynb @@ -7,19 +7,19 @@ "source": [ "# First Application\n", "\n", - "This notebook introduces basic Coba functionality for contextual bandit application research.\n", + "This notebook introduces basic Coba functionality for contextual bandit application research. That is, evaluating how learners perform in specific environments.\n", "\n", "## Creating Environments\n", "\n", - "The primary means of performing this type of research is to create environments representing the desired use-case.\n", + "The primary means of performing application research in coba is to create coba environments that emulate the desired application.\n", "\n", - "This is often done with domain specific datasets. Here we discuss three types of datasets that can be used.\n", + "The easiest way to do this is with domain specific datasets. Here we discuss three types of datasets that can be used.\n", "\n", "### 1. Supervised Datasets\n", "\n", "Perhaps the easiest way to get started is with domain relevant supervised datasets.\n", "\n", - "These kind of datasets can be generated in lab based validation studies which provide ground truth data that may not be available at deployment time. Using these kinds of datasets can give one a sense of whether this problem is even feasibly solvable by contextual bandit learners. To ingest this data into a coba environment prepping your labeled data into the `X` and `Y` variable shown below. After that simply call `cb.Environments.from_supervised`." + "These kind of datasets can be generated in lab based validation studies that provide ground truth data that may not be available at deployment time. While these datasets may be unrealistic in a deployment scenario they can still indicate the feasiblility of using contextual bandit learners. Use `cb.Environments.from_supervised`, as shown below, to ingest labeled features as a coba environment." ] }, { @@ -52,14 +52,14 @@ "source": [ "### 2. Explicit Datasets\n", "\n", - "If you have a better understanding of your domain you might want to create an environment from scratch.\n", + "If you have a good model or understanding of your domain you might want to create an environment from scratch.\n", "\n", - "This can be done by using Pandas dataframes to define a context, actions, and rewards for each interaction." + "This can be done by implementing the environments interface (This could also be done using dataframes with appropriate column names)." ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "id": "c2140211", "metadata": {}, "outputs": [ @@ -77,21 +77,25 @@ " 'rewards': DiscreteReward([['c', 'f'], [0.3, 5]])}]" ] }, - "execution_count": 5, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "import pandas as pd\n", + "import coba as cb\n", "\n", - "context = [[1,2,3,4], [4,5,6,7], [7,8,9,0]]\n", - "actions = [['a','b'], ['a','c'], ['c','f']]\n", - "rewards = [[1.2,0.1], [0.5,0.0], [0.3,5.0]]\n", + "class MyEnvironment:\n", "\n", - "df = pd.DataFrame({'context':context, 'actions':actions, 'rewards':rewards})\n", + " def read(self):\n", + " context = [[1,2,3,4], [4,5,6,7], [7,8,9,0]]\n", + " actions = [['a','b'], ['a','c'], ['c','f']]\n", + " rewards = [[1.2,0.1], [0.5,0.0], [0.3,5.0]]\n", "\n", - "list(cb.Environments.from_dataframe(df)[0].read())" + " for C,A,R in zip(context,actions,rewards):\n", + " yield {'context':C, 'actions': A, 'rewards': R }\n", + "\n", + "list(cb.Environments.from_custom(MyEnvironment())[0].read())" ] }, { @@ -103,9 +107,9 @@ "\n", "If you are working with an already deployed system there's a good chance you will have logged bandit data.\n", "\n", - "Coba has many tools to work with this kind of data once it has also been ingested.\n", + "Coba has many tools to work with this kind of data once it has been ingested.\n", "\n", - "The easiest way to ingest this data is to used dataframes as well. The only difference from above are the columns." + "The easiest way to ingest this data is to use dataframes." ] }, { @@ -128,6 +132,7 @@ } ], "source": [ + "import coba as cb\n", "import pandas as pd\n", "\n", "context = [[1,2,3,4], [4,5,6,7], [7,8,9,0]]\n", @@ -147,12 +152,12 @@ "source": [ "## Pre-processing Environments\n", "\n", - "Once you've created the environments you'd like to apply contextual bandit learners on it's time to pre-process. Coba provides several convenience methods to prep your data for learning. In fact, you can even run experiments to see which pre-processing steps most improve CB learner performance. Below we demonstrate a few of these on synthetic data but you'd be working with the environments created following the steps above. " + "Once you've created an environment you'd like to apply contextual bandit learners on it's time to pre-process. Coba provides several convenience methods to prep your data for learning. In fact, you can even run experiments to see which pre-processing steps most improve CB learner performance. Below we demonstrate a few of these on synthetic data but you'd be working with an environment created using one of the methods described at the top of this notebook. " ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 3, "id": "ecb0ecdf", "metadata": {}, "outputs": [ @@ -160,7 +165,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "1. LinearSynth(A=5,c=5,a=5,R=['a', 'xa'],seed=1) | Scale('shift': 'med', 'scale': 'iqr', 'scale_using': 100) | BatchSafe(Finalize())\n" + "1. LinearSynth(A=5,c=5,a=5,R=['a', 'xa'],seed=1) | Sort('sort_keys': '*') | BatchSafe(Finalize())\n" ] } ], @@ -182,11 +187,11 @@ "cb.Environments.from_linear_synthetic(100).noise(context=(0,.1),reward=(0,1))\n", "\n", "#cycle can be used to check your robustness to non-stationarity. Cycle will wrap\n", - "#reward values to the right one space. This means optimal actions wrap to the right.\n", + "#reward values to the right one space, which cycles the optimal action right as well.\n", "cb.Environments.from_linear_synthetic(100).cycle(after=100)\n", "\n", "#sort can be used to check your robustness to domain-shift. Sorting on context\n", - "#values creates an environment context distributions is a function of time step\n", + "#creates an environment where context distribution is a function of time step\n", "cb.Environments.from_linear_synthetic(100).sort()" ] }, @@ -199,7 +204,7 @@ "\n", "Once your environment has been prepped you are ready to run an experiment. \n", "\n", - "For this example we're going to use an openml dataset but everything we do below could be done with your environment used in place.\n", + "For this example we're going to use an openml dataset, but everything we do below could be done with an environment you created.\n", "\n", "### Feature Scaling Experiment" ] @@ -244,7 +249,9 @@ "\n", "Coba doesn't offer any out of the box methods like random search or halving.\n", "\n", - "Instead we rely primarily on experiment level paralellization to make explicit searches computationally viable." + "Instead we rely primarily on experiment level paralellization to make explicit searches computationally viable.\n", + "\n", + "The legend in coba plots will always be sorted according to learner performance to make it easier to pick out the best." ] }, {