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            "Collecting stable-baselines3\n",
            "  Downloading stable_baselines3-2.2.1-py3-none-any.whl (181 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m181.7/181.7 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting gymnasium\n",
            "  Downloading gymnasium-0.29.1-py3-none-any.whl (953 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m953.9/953.9 kB\u001b[0m \u001b[31m10.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting JaxFin\n",
            "  Downloading JaxFin-0.2.0-py3-none-any.whl (16 kB)\n",
            "Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.10/dist-packages (from stable-baselines3) (1.25.2)\n",
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            "  Downloading Farama_Notifications-0.0.4-py3-none-any.whl (2.5 kB)\n",
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            "Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch>=1.13->stable-baselines3)\n",
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            "Installing collected packages: farama-notifications, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, nvidia-cusparse-cu12, nvidia-cudnn-cu12, gymnasium, nvidia-cusolver-cu12, JaxFin, stable-baselines3\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.25.2\n",
            "    Uninstalling numpy-1.25.2:\n",
            "      Successfully uninstalled numpy-1.25.2\n",
            "Successfully installed JaxFin-0.2.0 farama-notifications-0.0.4 gymnasium-0.29.1 numpy-1.26.2 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.4.99 nvidia-nvtx-cu12-12.1.105 stable-baselines3-2.2.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install sbx-rl"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0dRqmOTW6nEy",
        "outputId": "7a7121e5-7c51-4fbb-be33-228958dc0c96"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting sbx-rl\n",
            "  Downloading sbx_rl-0.12.0-py3-none-any.whl (46 kB)\n",
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            "\u001b[?25hCollecting stable-baselines3>=2.3.0a1 (from sbx-rl)\n",
            "  Downloading stable_baselines3-2.3.0a4-py3-none-any.whl (182 kB)\n",
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            "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (8.9.2.26)\n",
            "Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (12.1.3.1)\n",
            "Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (11.0.2.54)\n",
            "Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (10.3.2.106)\n",
            "Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (11.4.5.107)\n",
            "Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (12.1.0.106)\n",
            "Requirement already satisfied: nvidia-nccl-cu12==2.19.3 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (2.19.3)\n",
            "Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (12.1.105)\n",
            "Requirement already satisfied: triton==2.2.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (2.2.0)\n",
            "Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.10/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (12.4.99)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0a1->sbx-rl) (1.2.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0a1->sbx-rl) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0a1->sbx-rl) (4.50.0)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0a1->sbx-rl) (1.4.5)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0a1->sbx-rl) (24.0)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0a1->sbx-rl) (9.4.0)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0a1->sbx-rl) (3.1.2)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0a1->sbx-rl) (2.8.2)\n",
            "Requirement already satisfied: etils[epath,epy] in /usr/local/lib/python3.10/dist-packages (from orbax-checkpoint->flax->sbx-rl) (1.7.0)\n",
            "Requirement already satisfied: nest_asyncio in /usr/local/lib/python3.10/dist-packages (from orbax-checkpoint->flax->sbx-rl) (1.6.0)\n",
            "Requirement already satisfied: protobuf in /usr/local/lib/python3.10/dist-packages (from orbax-checkpoint->flax->sbx-rl) (3.20.3)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->stable-baselines3>=2.3.0a1->sbx-rl) (2023.4)\n",
            "Requirement already satisfied: importlib_resources in /usr/local/lib/python3.10/dist-packages (from etils[epath,epy]->orbax-checkpoint->flax->sbx-rl) (6.4.0)\n",
            "Requirement already satisfied: zipp in /usr/local/lib/python3.10/dist-packages (from etils[epath,epy]->orbax-checkpoint->flax->sbx-rl) (3.18.1)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (2.1.5)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.13->stable-baselines3>=2.3.0a1->sbx-rl) (1.3.0)\n",
            "Installing collected packages: stable-baselines3, sbx-rl\n",
            "  Attempting uninstall: stable-baselines3\n",
            "    Found existing installation: stable-baselines3 2.2.1\n",
            "    Uninstalling stable-baselines3-2.2.1:\n",
            "      Successfully uninstalled stable-baselines3-2.2.1\n",
            "Successfully installed sbx-rl-0.12.0 stable-baselines3-2.3.0a4\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from itertools import product\n",
        "\n",
        "import numpy as np\n",
        "from numpy.random import choice\n",
        "\n",
        "from gymnasium import Env, spaces\n",
        "from gymnasium.spaces import Box, Discrete\n",
        "from gymnasium.wrappers import NormalizeObservation\n",
        "\n",
        "from jax import vmap\n",
        "\n",
        "from jaxfin.price_engine.black_scholes import european_price, delta_european\n",
        "from jaxfin.models.gbm import UnivGeometricBrownianMotion\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "from stable_baselines3.common.callbacks import BaseCallback\n",
        "from stable_baselines3.common.env_checker import check_env\n",
        "from stable_baselines3.common.env_util import make_vec_env\n",
        "from stable_baselines3.common.vec_env import DummyVecEnv, SubprocVecEnv, VecMonitor\n",
        "from stable_baselines3.common.evaluation import evaluate_policy\n",
        "from stable_baselines3.common.monitor import Monitor\n",
        "from sbx import TD3\n",
        "\n",
        "import pprint\n",
        "\n",
        "import torch as th\n",
        "\n",
        "SEED: int = 0\n",
        "\n",
        "np.random.seed(SEED)"
      ],
      "metadata": {
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "smzTly_7z5Li",
        "outputId": "398563bc-f589-4196-9c46-a8faf745e16c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/tensorflow_probability/python/__init__.py:57: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
            "  if (distutils.version.LooseVersion(tf.__version__) <\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## BS environment\n"
      ],
      "metadata": {
        "id": "itXumkeX0Fpu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "v_delta_european = vmap(delta_european, in_axes=(0, None, None, None, None))\n",
        "\n",
        "\n",
        "def flatten(fn):\n",
        "    def wrapper(*args, **kwargs):\n",
        "        return fn(*args, **kwargs).flatten()\n",
        "\n",
        "    return wrapper\n",
        "\n",
        "\n",
        "class BlackScholesEnvBase(Env):\n",
        "    metadata = {\"render.modes\": [\"human\"]}\n",
        "    action_space: spaces.Space\n",
        "    observation_space: spaces.Space\n",
        "\n",
        "    def __init__(\n",
        "        self,\n",
        "        s0: float,\n",
        "        strike: float,\n",
        "        expiry: float,\n",
        "        r: float,\n",
        "        mu: float,\n",
        "        sigma: float,\n",
        "        n_steps: int,\n",
        "    ):\n",
        "        self.s0 = s0\n",
        "        self.strike = strike\n",
        "        self.expiry = expiry\n",
        "        self.r = r\n",
        "        self.mu = mu\n",
        "        self.sigma = sigma\n",
        "        self.n_steps = n_steps\n",
        "        self.dt = expiry / n_steps\n",
        "        self._current_step = 0\n",
        "\n",
        "        self.render_mode = \"human\"\n",
        "\n",
        "        self._stock_path = np.array([])\n",
        "        self._call_prices = np.array([])\n",
        "        self._deltas = np.array([])\n",
        "\n",
        "        self._hedging_portfolio_value = 0.0\n",
        "        self._current_hedging_delta = 0.0\n",
        "        self._previous_hedging_delta = 0.0\n",
        "        self._back_account_value = 0.0\n",
        "        self._ddelta = 0.0\n",
        "\n",
        "        self._epsilon = 1\n",
        "        self._lambda = 0.1\n",
        "        self._tick_size = 0.01\n",
        "\n",
        "    def reset(self, seed=None):\n",
        "        super().reset(seed=seed)\n",
        "\n",
        "        self._current_step = 0\n",
        "        self._stock_path = self._generate_stock_path(seed=seed)\n",
        "        self._call_prices = self._get_call_prices()\n",
        "        self._deltas = self._get_deltas()\n",
        "        self._hedging_portfolio_value = self._call_prices[0]\n",
        "        self._current_hedging_delta = -self._deltas[0]\n",
        "        self._back_account_value = (\n",
        "            self._hedging_portfolio_value - self.current_hedging_delta * self.s0\n",
        "        )\n",
        "\n",
        "        observations = self._get_observations()\n",
        "        infos = self._get_infos()\n",
        "\n",
        "        return observations, infos\n",
        "\n",
        "    def step(self, action: float):\n",
        "        self._current_step += 1\n",
        "\n",
        "        done = self._current_step == (self.n_steps - 1)\n",
        "        reward = self._calculate_reward()\n",
        "\n",
        "        self._hedging_portfolio_value = self._calculate_hedging_portfolio_value(action)\n",
        "\n",
        "        observations = self._get_observations()\n",
        "        infos = self._get_infos()\n",
        "        self._update_delta(action)\n",
        "\n",
        "        return observations, reward, done, False, infos\n",
        "\n",
        "    def render(self, mode=\"human\"):\n",
        "        pass\n",
        "\n",
        "    def _update_delta(self, new_delta: float):\n",
        "        self._ddelta = new_delta - self.current_hedging_delta\n",
        "        self._previous_hedging_delta = self.current_hedging_delta\n",
        "        self.current_hedging_delta = new_delta\n",
        "\n",
        "    def _calculate_reward(self) -> float:\n",
        "        if self._current_step == 1:\n",
        "            return - self._get_transaction_costs(self.current_hedging_delta)\n",
        "\n",
        "        pnl = self._calculate_pnl()\n",
        "        return pnl - self._lambda / 2 * pnl**2\n",
        "\n",
        "    def _calculate_pnl(self) -> float:\n",
        "        dv = (\n",
        "            self._call_prices[self._current_step]\n",
        "            - self._call_prices[self._current_step - 1]\n",
        "        )\n",
        "        ds = (\n",
        "            self._stock_path[self._current_step]\n",
        "            - self._stock_path[self._current_step - 1]\n",
        "        )[0]\n",
        "        ddelta = self._ddelta\n",
        "\n",
        "        if self._current_step == (self.n_steps - 1):\n",
        "            liquidation_value = self._get_transaction_costs(self.current_hedging_delta)\n",
        "            return (\n",
        "                dv\n",
        "                + self.current_hedging_delta * ds\n",
        "                - self._get_transaction_costs(ddelta)\n",
        "                - liquidation_value\n",
        "            )\n",
        "\n",
        "        return (\n",
        "            dv + self.current_hedging_delta * ds - self._get_transaction_costs(ddelta)\n",
        "        )\n",
        "\n",
        "    def _get_transaction_costs(self, ddelta: float):\n",
        "        return self._epsilon * self._tick_size * (np.abs(ddelta) + 0.01 * ddelta**2)\n",
        "\n",
        "    def _get_observations(self):\n",
        "        log_price_strike = self._get_log_ratio()\n",
        "        time_to_expiration = self.expiry\n",
        "        bs_delta = self._deltas[self._current_step]\n",
        "        call_price = self._call_prices[self._current_step]\n",
        "        return np.asarray(\n",
        "            [\n",
        "                log_price_strike,\n",
        "                self.sigma,\n",
        "                time_to_expiration,\n",
        "                bs_delta,\n",
        "                call_price / self._call_prices[0],\n",
        "                self.current_hedging_delta,\n",
        "            ],\n",
        "            dtype=np.float32,\n",
        "        )\n",
        "\n",
        "    def _get_infos(self):\n",
        "        return {\n",
        "            \"price\": self._call_prices[self._current_step],\n",
        "            \"time_to_expiration\": self.expiry - self._current_step * self.dt,\n",
        "            \"bs_delta\": self._deltas[self._current_step],\n",
        "            \"stock_price\": self._get_current_stock_price(),\n",
        "            \"current_delta\": self.current_hedging_delta,\n",
        "            \"log(S/K)\": self._get_log_ratio(),\n",
        "            \"hedge_portfolio_value\": self._hedging_portfolio_value,\n",
        "            \"bank_account\": self._back_account_value,\n",
        "        }\n",
        "\n",
        "    @property\n",
        "    def current_hedging_delta(self):\n",
        "        return self._current_hedging_delta\n",
        "\n",
        "    @current_hedging_delta.setter\n",
        "    def current_hedging_delta(self, new_hedge: float):\n",
        "        self._current_hedging_delta = new_hedge\n",
        "\n",
        "    def _get_log_ratio(self):\n",
        "        if self._current_step == -1:\n",
        "            return np.log(self.s0 / self.strike)\n",
        "        return np.log(self._stock_path[self._current_step, 0] / self.strike)\n",
        "\n",
        "    def _generate_stock_path(self, seed=None) -> np.ndarray:\n",
        "        if seed:\n",
        "            seed = 0\n",
        "\n",
        "        gbm = UnivGeometricBrownianMotion(self.s0, self.mu, self.sigma)\n",
        "\n",
        "        return np.asarray(gbm.sample_paths(0, self.expiry, self.n_steps, 1))\n",
        "\n",
        "    @flatten\n",
        "    def _get_call_prices(self) -> np.ndarray:\n",
        "        return np.asarray(\n",
        "            [\n",
        "                european_price(\n",
        "                    self._stock_path[i],\n",
        "                    self.strike,\n",
        "                    self.expiry - i * self.dt,\n",
        "                    self.sigma,\n",
        "                    self.r,\n",
        "                )\n",
        "                for i in range(self.n_steps)\n",
        "            ]\n",
        "        )\n",
        "\n",
        "    @flatten\n",
        "    def _get_deltas(self) -> np.ndarray:\n",
        "        return np.asarray(\n",
        "            [\n",
        "                v_delta_european(\n",
        "                    self._stock_path[i],\n",
        "                    self.strike,\n",
        "                    self.expiry - i * self.dt,\n",
        "                    self.sigma,\n",
        "                    self.r,\n",
        "                )\n",
        "                for i in range(self.n_steps)\n",
        "            ]\n",
        "        )\n",
        "\n",
        "    def _calculate_hedging_portfolio_value(self, new_delta: float):\n",
        "        if self._current_step == 0:\n",
        "            self._hedging_portfolio_value = self._call_prices[0]\n",
        "            self._back_account_value = (\n",
        "                self._hedging_portfolio_value - self._current_hedging_delta * self.s0\n",
        "            )\n",
        "            return self._hedging_portfolio_value\n",
        "\n",
        "        new_hedging_port_value = (\n",
        "            self._back_account_value\n",
        "            + self._current_hedging_delta * self._get_current_stock_price()\n",
        "        )\n",
        "        self._back_account_value = (\n",
        "            new_hedging_port_value - new_delta * self._get_current_stock_price()\n",
        "        )\n",
        "\n",
        "        return new_hedging_port_value\n",
        "\n",
        "    def _get_current_stock_price(self):\n",
        "        return self._stock_path[self._current_step, 0]\n",
        "\n",
        "\n",
        "class BlackScholesEnvCont(BlackScholesEnvBase):\n",
        "\n",
        "    def __init__(\n",
        "        self,\n",
        "        s0: float,\n",
        "        strike: float,\n",
        "        expiry: float,\n",
        "        r: float,\n",
        "        mu: float,\n",
        "        sigma: float,\n",
        "        n_steps: int,\n",
        "    ):\n",
        "        super().__init__(\n",
        "            s0=s0,\n",
        "            strike=strike,\n",
        "            expiry=expiry,\n",
        "            r=r,\n",
        "            mu=mu,\n",
        "            sigma=sigma,\n",
        "            n_steps=n_steps,\n",
        "        )\n",
        "        self.action_space = Box(low=-1.0, high=0.0, shape=(1,))\n",
        "        self.observation_space = Box(\n",
        "            low=np.array([-np.inf, 0.0, 0.0, 0.0, 0.0, -1.0], dtype=np.float32),\n",
        "            high=np.array([np.inf, 2.0, np.inf, 1.0, np.inf, 1.0], dtype=np.float32),\n",
        "            shape=(6,),\n",
        "        )\n",
        "\n",
        "    def step(self, action: np.ndarray):\n",
        "        new_hedge = action[0]\n",
        "        return super().step(new_hedge)\n",
        "\n",
        "\n",
        "class BlackScholesEnvDis(BlackScholesEnvBase):\n",
        "\n",
        "    def __init__(\n",
        "        self,\n",
        "        s0: float,\n",
        "        strike: float,\n",
        "        expiry: float,\n",
        "        r: float,\n",
        "        mu: float,\n",
        "        sigma: float,\n",
        "        n_steps: int,\n",
        "    ):\n",
        "        super().__init__(\n",
        "            s0=s0,\n",
        "            strike=strike,\n",
        "            expiry=expiry,\n",
        "            r=r,\n",
        "            mu=mu,\n",
        "            sigma=sigma,\n",
        "            n_steps=n_steps,\n",
        "        )\n",
        "        self.action_space = Discrete(100)\n",
        "        self.observation_space = Box(\n",
        "            low=np.array([-np.inf, 0.0, 0.0, 0.0, 0.0, -1.0], dtype=np.float32),\n",
        "            high=np.array([np.inf, 2.0, np.inf, 1.0, np.inf, 1.0], dtype=np.float32),\n",
        "            shape=(6,),\n",
        "        )\n",
        "\n",
        "    def step(self, action: float):\n",
        "        return super().step(-(action / 100))"
      ],
      "metadata": {
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3y4-ffSEz5Lk",
        "outputId": "2e736a3f-f2a9-480b-b0a3-fd762ba4fb8d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
            "  and should_run_async(code)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "check_env(BlackScholesEnvCont(100, 100, 1.0, 0.0, 0.0, 0.2, 252))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jWToW1I9z5Lo",
        "outputId": "f17e810f-bbe6-49aa-c0f3-7653aa4ed9e7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/stable_baselines3/common/env_checker.py:453: UserWarning: We recommend you to use a symmetric and normalized Box action space (range=[-1, 1]) cf. https://stable-baselines3.readthedocs.io/en/master/guide/rl_tips.html\n",
            "  warnings.warn(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## T3D"
      ],
      "metadata": {
        "id": "n2N6qZ0V0QAN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "initial_prices = [80, 90, 100, 110, 120]\n",
        "expires = [0.25, 0.5, 1.0, 2.0]\n",
        "sigmas = [0.1, 0.2, 0.3, 0.4, 0.5]\n",
        "n_steps = [63, 126, 252, 504]\n",
        "\n",
        "cartesian_product = list(product(initial_prices, expires, sigmas, n_steps))"
      ],
      "metadata": {
        "id": "nO4HIkZojtRz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "indexes = choice(np.asarray(range(len(cartesian_product))), 19, replace=False)\n",
        "random_sample = np.asarray(cartesian_product)[indexes]"
      ],
      "metadata": {
        "id": "go271hh2mHZr"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "r = 0.0\n",
        "mu = 0.0\n",
        "\n",
        "init_s0 = 100\n",
        "init_K = 100\n",
        "init_T = 1.0\n",
        "init_vol = 0.2\n",
        "init_n_steps = 252\n",
        "\n",
        "n_episodes = 100"
      ],
      "metadata": {
        "trusted": true,
        "id": "qv66MvdIz5Ln"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def make_env(s0, strike, expiry, r, mu, vol, n_steps):\n",
        "    def _create_env():\n",
        "        return BlackScholesEnvCont(s0, strike, expiry, r, mu, vol, n_steps)\n",
        "    return _create_env\n",
        "\n",
        "def make_vec_env(s0: float, strike: float, expiry:float, r: float, mu: float, vol: float, n_steps: int) -> Env:\n",
        "    vec_env = DummyVecEnv([make_env(s0, strike, expiry, r, mu, vol, n_steps) for _ in range(5)])\n",
        "    return VecMonitor(vec_env, filename='./training.log')"
      ],
      "metadata": {
        "id": "DPgr1MG2z5Lo"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "initial_env = make_vec_env(init_s0, init_K, init_T, r, mu, init_vol, init_n_steps)"
      ],
      "metadata": {
        "trusted": true,
        "id": "JI2gCMeuz5Lp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "learning_rate = 0.001\n",
        "batch_size = 64\n",
        "gamma = 0.9999\n",
        "train_freq = 100\n",
        "policy_kwargs = dict(net_arch=dict(pi=[64, 64], qf=[64, 64]))\n",
        "\n",
        "model = TD3(\"MlpPolicy\",\n",
        "             initial_env,\n",
        "             learning_rate=learning_rate,\n",
        "             batch_size=batch_size,\n",
        "             gamma=gamma,\n",
        "             train_freq=train_freq,\n",
        "             policy_kwargs=policy_kwargs,\n",
        "             verbose=0)"
      ],
      "metadata": {
        "id": "JN-V1E9whS8V"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Training"
      ],
      "metadata": {
        "id": "imxGot_00TYK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "model.learn(total_timesteps=252*n_episodes, log_interval=10, progress_bar=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50,
          "referenced_widgets": [
            "af546ade42794f8bb9a22bc9bbc04d41",
            "1ad35c7c3b674ff087c457e0f7480056"
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        },
        "id": "0UAQkuJMilb9",
        "outputId": "d7511b48-b390-4c76-a6ff-5a7856891186"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Output()"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "af546ade42794f8bb9a22bc9bbc04d41"
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
            ]
          },
          "metadata": {}
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        {
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          "data": {
            "text/plain": [
              "\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<sbx.td3.td3.TD3 at 0x7bcf379afcd0>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "training_rewards = [evaluate_policy(model, initial_env, n_eval_episodes=10)[0]]"
      ],
      "metadata": {
        "id": "Lm3wEGlqnRBa"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# train loop\n",
        "for s0, T, vol, steps in random_sample:\n",
        "    n_steps = int(steps)\n",
        "    K = np.random.randint(low=int(s0 * 0.8), high=int(s0 * 1.2))\n",
        "    print(f's0: {s0}, K: {K}, T: {T}, vol: {vol}, steps: {steps}')\n",
        "    env = make_vec_env(s0, K, T, r, mu, vol, n_steps)\n",
        "    model.set_env(env)\n",
        "    model.learn(total_timesteps=n_steps*n_episodes, log_interval=10, progress_bar=True)\n",
        "    mean_reward, std_reward = evaluate_policy(model, env, n_eval_episodes=10)\n",
        "    training_rewards.append(mean_reward)\n",
        "    print(f'Val reward: {mean_reward}')"
      ],
      "metadata": {
        "id": "rouv6cQrngxv",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 980,
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "s0: 90.0, K: 97, T: 1.0, vol: 0.4, steps: 63.0\n"
          ]
        },
        {
          "output_type": "display_data",
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              "</pre>\n"
            ]
          },
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Val reward: -6.573449611663818\n",
            "s0: 110.0, K: 130, T: 2.0, vol: 0.3, steps: 126.0\n"
          ]
        },
        {
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              "</pre>\n"
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        {
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          "text": [
            "Val reward: 1.743837594985962\n",
            "s0: 120.0, K: 111, T: 0.5, vol: 0.1, steps: 126.0\n"
          ]
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              "</pre>\n"
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        {
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          "text": [
            "Val reward: 2.769899368286133\n",
            "s0: 100.0, K: 96, T: 0.5, vol: 0.5, steps: 63.0\n"
          ]
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        {
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              "</pre>\n"
            ]
          },
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        {
          "output_type": "stream",
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          "text": [
            "Val reward: 3.8020126819610596\n",
            "s0: 110.0, K: 111, T: 0.25, vol: 0.2, steps: 252.0\n"
          ]
        },
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          "text": [
            "Val reward: -2.0047659873962402\n",
            "s0: 80.0, K: 84, T: 2.0, vol: 0.1, steps: 63.0\n"
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        {
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          "text": [
            "Val reward: 2.5531201362609863\n",
            "s0: 90.0, K: 86, T: 2.0, vol: 0.4, steps: 504.0\n"
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              "</pre>\n"
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        {
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          "text": [
            "Val reward: 12.452169418334961\n",
            "s0: 110.0, K: 101, T: 0.5, vol: 0.1, steps: 126.0\n"
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              "</pre>\n"
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        {
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          "text": [
            "Val reward: 2.999764919281006\n",
            "s0: 90.0, K: 99, T: 2.0, vol: 0.1, steps: 126.0\n"
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              "</pre>\n"
            ]
          },
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        {
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          "text": [
            "Val reward: 3.351525068283081\n",
            "s0: 100.0, K: 113, T: 1.0, vol: 0.4, steps: 252.0\n"
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              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Val reward: -0.6764698028564453\n",
            "s0: 80.0, K: 85, T: 0.5, vol: 0.5, steps: 126.0\n"
          ]
        },
        {
          "output_type": "display_data",
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          },
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        },
        {
          "output_type": "display_data",
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            "text/plain": [],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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        },
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              "\n"
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              "</pre>\n"
            ]
          },
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Val reward: 4.313231945037842\n",
            "s0: 90.0, K: 95, T: 1.0, vol: 0.4, steps: 252.0\n"
          ]
        },
        {
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            "text/plain": [
              "Output()"
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              "model_id": "6674fe2eb5574b0f87e557afe5f67b00"
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        },
        {
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        },
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              "\n"
            ],
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              "</pre>\n"
            ]
          },
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Val reward: 1.3819025754928589\n",
            "s0: 90.0, K: 78, T: 0.5, vol: 0.4, steps: 126.0\n"
          ]
        },
        {
          "output_type": "display_data",
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            "text/plain": [
              "Output()"
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              "model_id": "1b4f7e3b0f8b4d6b988441e14317d8f9"
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          },
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        {
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          },
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        },
        {
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              "\n"
            ],
            "text/html": [
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              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Val reward: 5.579888343811035\n",
            "s0: 120.0, K: 129, T: 0.5, vol: 0.3, steps: 63.0\n"
          ]
        },
        {
          "output_type": "display_data",
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            "text/plain": [
              "Output()"
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            "application/vnd.jupyter.widget-view+json": {
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              "model_id": "89b46e78d1c7458597980b2f9f003232"
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        {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
            ]
          },
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        },
        {
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              "\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Val reward: 0.5191851854324341\n",
            "s0: 80.0, K: 68, T: 0.25, vol: 0.4, steps: 63.0\n"
          ]
        },
        {
          "output_type": "display_data",
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            "text/plain": [
              "Output()"
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c816ee5944424c78974eeafb2bf89a13"
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        },
        {
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          "data": {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
            ]
          },
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        },
        {
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          "data": {
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              "\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Val reward: 3.4623827934265137\n",
            "s0: 80.0, K: 94, T: 1.0, vol: 0.5, steps: 504.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Output()"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "56a9a43cf34d4245b4f750db1b3cb957"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Val reward: 8.004752159118652\n",
            "s0: 110.0, K: 111, T: 1.0, vol: 0.4, steps: 126.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Output()"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3b3b5b92071647c380ae67e393f05cd2"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Val reward: 10.671625137329102\n",
            "s0: 90.0, K: 91, T: 2.0, vol: 0.1, steps: 63.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Output()"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e8393f9a3dfd45f3ae815da2a41e23ad"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Val reward: 3.5927398204803467\n",
            "s0: 100.0, K: 97, T: 1.0, vol: 0.2, steps: 252.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Output()"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c6334773cb3944bdb89d6f91382ab122"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Val reward: 2.0203843116760254\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=(12, 6))\n",
        "\n",
        "plt.plot(training_rewards)\n",
        "plt.title('Validation rewards')\n",
        "plt.ylabel('Val reward')\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "v5shY4N58OLe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 545
        },
        "outputId": "2dced922-ef8b-4d4f-b80d-e0fa163d8f94"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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NwPCD9PLykjgaIiIiIiIicnQNDQ2IjIw056OXwoT+CkzL7L28vJjQExERERERUY+50rZvNsUjIiIiIiIiskNM6ImIiIiIiIjsEBN6IiIiIiIiIjvEhJ6IiIiIiIjIDjGhJyIiIiIiIrJDTOiJiIiIiIiI7BATeiIiIiIiIiI7xISeiIiIiIiIyA4xoSciIiIiIiKyQ0zoiYiIiIiIiOwQE3oiIiIiIiIiO8SEnoiIiIiIiMgOMaEnIiIiIiIiskM2k9Dv2LEDt912G8LCwiAIAn788UfzYxqNBn/+85+RmJgIDw8PhIWFYe7cuSgpKbnsa77yyisQBKHTLSEhwcrfCREREREREZH12UxC39zcjOTkZLz//vsXPNbS0oIjR47gxRdfxJEjR/D999/j1KlTmDJlyhVfd8CAASgtLTXfdu3aZY3wiYiIiIiIiHqUQuoATCZPnozJkydf9DFvb29s3Lix032LFy/GsGHDUFBQgKioqEu+rkKhQEhIiEVjJSIiIiIiIpKazVTou6u+vh6CIMDHx+eyx2VnZyMsLAwxMTGYM2cOCgoKLnt8e3s7GhoaOt2IiIiIiIiIbI1dJvRtbW3485//jFmzZsHLy+uSxw0fPhxLlizB+vXr8cEHHyA3Nxdjx45FY2PjJZ+zaNEieHt7m2+RkZHW+BaIiKgLCmta8PiyI8guv/TfbSIiIiJnZXcJvUajwfTp0yGKIj744IPLHjt58mRMmzYNSUlJmDRpEn7++WfU1dVhxYoVl3zOs88+i/r6evOtsLDQ0t8CERF10Sc7c7AuoxSLt56ROhQiIiIim2Mze+i7wpTM5+fnY8uWLZetzl+Mj48P+vbtizNnLv3BUKVSQaVSXWuoRERkAelF9QCAtMI6aQMhIiIiskF2U6E3JfPZ2dnYtGkT/P39u/0aTU1NOHv2LEJDQ60QIRERWVKHVo8TpYY+JvnVLahp7pA4IiIiIiLbYjMJfVNTE9LS0pCWlgYAyM3NRVpaGgoKCqDRaHD33Xfj0KFDWLp0KXQ6HcrKylBWVoaOjnMf8G644QYsXrzY/PUf//hHbN++HXl5edizZw/uuOMOyOVyzJo1q6e/PSIi6qbT5Y3o0OrNX6ezSk9ERETUic0suT906BAmTJhg/nrhwoUAgPvuuw+vvPIK1qxZAwBISUnp9LytW7ciNTUVAHD27FlUVVWZHysqKsKsWbNQXV2NwMBAjBkzBvv27UNgYKB1vxkiIrpmGcbl9iZHC+swISFIomiIiIiIbI/NJPSpqakQRfGSj1/uMZO8vLxOX3/77bfXGhYREUkko6gOABDgqURVUwf30RMRERH9hs0suSciIjqfqSHerGFRhq8L67p0cZeIiIjIWTChJyIim9Om0eG0cfb8tCGRUClkqG/VILeqWeLIiIiIiGwHE3oiIrI5x0oaoNOLCPBUItLPDYnh3gA4vo6IiIjofEzoiYjI5mQa988nRfhAEASkRPoAYEJPREREdD4m9EREZHNMHe5NlfmUKB8ATOiJiIiIzseEnoiIbE5GsSGhT440JvTGCv3xkga0aXRShUVERERkU5jQExGRTWlq1+JsZRMAIDHcBwAQ7uOGAE8VtHoRx0rqL/NsIiIiIufBhJ6IiGxKVnE9RBEI83ZFoFoFAJ320R8tqJMuOCIiIiIbwoSeiIhsSoaxIV5ihHen+wdxHz0RERFRJ0zoiYjIppga4iVF+HS6n53uiYiIiDpjQk9ERDblXELfuUKfFOENQQCKaltR1dQuRWhERERENoUJPRER2Yy6lg4U1LQAAJKMDfFM1K4uiA30BACkcR89ERERERN6IiKyHabqfC9/d3i7u1zwOJfdExEREZ3DhJ6IiGyGqSHeb/fPm6SwMR4RERGRGRN6IiKyGaYKffJv9s+bmCr06YV10OvFngqLiIiIyCYxoSciIpthSugTwy+e0McHq+HmIkdjuxY5VU09GRoRERGRzWFCT0RENqGioQ1lDW0QBGDgJRJ6hVxmTvaPsjEeEREROTkm9EREZBNM1fnYQE94qBSXPI776ImIiIgMmNATEZFNyCg2zZ/3uexx7HRPREREZMCEnoiIbMK5DvcXX25vYkroT5Y1orVDZ+WoiIiIiGwXE3oiIpKcKIrILDJV6C+f0Id6uyJIrYJOLyKrpL4nwiMiIiKySUzoiYhIcsV1rahu7oBCJqBfqNdljxUE4dyyezbGIyIiIifGhJ6IiCRnqs7Hh6jh6iK/4vFsjEdERETEhJ6IiGxAeheX25uwMR4RERERE3oiIrIBmcV1AK7c4d4kKcIHgmBYql/R2Ga9wIiIiIhsGBN6IiKSlF4vmmfQd7VC76lSoG+QGgD30RMREZHzYkJPRESSyq9pQWObFiqFDH2D1V1+HpfdExERkbNjQk9ERJIyzZ/vH+YFF3nX35bYGI+IiIicHRN6IiKSVHqhcbl9eNeW25uYKvQZRfXQ6UVLh0VERERk85jQExGRpLrbEM+kb7Aa7ko5mtq1OFvZZPnAiIiIiGwcE3oiIpKMVqdHVnEDgK43xDORywQkGqv6bIxHREREzogJPRERSeZsZTNaNTp4KOWICfTs9vNN++iPch89EREROSEm9EREJJl0Y0O8AeHekMuEbj9/EDvdExGRg8gqrsf/fXUYJ0obpA6F7IhC6gCIiMh5ZRrnzyd3c7m9SUqkLwDgVFkDWjq0cFfybY2IiOxPdVM75n95CGUNbVDIBSyePVjqkMhOsEJPRESSMY2sS+xmQzyTEG9XhHi5Qi+euzhARERkT3R6EU8vT0NZQxsAYMfpSmh1eomjInvBhJ6IiCTRodXjRGkjgKuv0APnxtdx2T0REdmj97ZkY2d2Fdxc5FCrFGho0/I9jbqMCT0REUniVFkjOnR6eLu5IMrP/apfx9QYjx9+iIjI3uzMrsQ7m7MBAP+8YyBSE4IAANtOVUoZFtkRJvRERCSJDPP8eW8IQvcb4pmwQk9ERPaorL4NT3+bBlEEZg2LxJ2DIzAhPhAAsPVUhcTRkb1gQk9ERJLIKDTsee/u/PnfSgz3hkwASuvbUG7cf0hERGTLNDo9Hl92BNXNHegf6oWXbxsAABjX15DQHytpQAXf06gLmNATEZEkMooNCX1iuM81vY6HSoG+wWoAwNGCumuMioiIyPr+s+EUDuXXQq1S4IN7BsPVRQ4ACPBUmfvKbDvNZfd0ZUzoiYiox7V26HC63NgQL/LaKvQAMIj76ImIyE78eqwMH+/IAQD8Z1oSevl7dHp8fLxhH/127qOnLmBCT0REPe54aT10ehEBniqEeLle8+ud20dfe82vRUREZC0F1S34w8p0AMCDY6Jx08DQC44x7aPfkc3xdXRlTOiJiKjHZRhnxidfY0M8k5RIXwCGWfQ6vXjNr0dERGRpbRodHl12GI1tWgyO8sFfJidc9LikCB/4urugsU2LI9xKRlfAhJ6IiHqcKaFPvMaGeCaxQZ7wUMrR3KFDdkWjRV6TiIjIkv6+7jiyihvg6+6CxbMHw0V+8VRMLhMwvi+73VPX2ExCv2PHDtx2220ICwuDIAj48ccfOz0uiiJeeuklhIaGws3NDRMnTkR2dvYVX/f9999H79694erqiuHDh+PAgQNW+g6IiKirMorqAADJET4WeT25TECS8bXSWM0gIiIbszqtGEv3F0AQgLdnDkKYj9tlj0+N5zx66hqbSeibm5uRnJyM999//6KP//vf/8a7776LDz/8EPv374eHhwcmTZqEtrZLj3NYvnw5Fi5ciJdffhlHjhxBcnIyJk2ahIoKXukiIpJKY5sGOVXNACxXoQeAFDbGIyIiG3SmohHPfp8JAHhiQqy5+n454/oGQhCAE6UNKKvn+Dq6NJtJ6CdPnox//OMfuOOOOy54TBRFvP3223jhhRdw++23IykpCf/73/9QUlJyQSX/fG+++SYWLFiAefPmoX///vjwww/h7u6Ozz//3IrfCRERXU5WcQNEEQj3cUOAp8pir3uuMV6dxV6TiIjoWrR0aPHI10fQ0qHD6Fh/PDWxb5ee5+ehNK9i236axUi6NJtJ6C8nNzcXZWVlmDhxovk+b29vDB8+HHv37r3oczo6OnD48OFOz5HJZJg4ceIlnwMA7e3taGho6HQjIiLLMS23Twy3XHUeAAYZE/rT5Y1obtda9LWJiIi6SxRFPP9DFrIrmhCkVuHtGYMgl3W9EewE47L7rSe57J4uzS4S+rKyMgBAcHBwp/uDg4PNj/1WVVUVdDpdt54DAIsWLYK3t7f5FhkZeY3RExHR+TKKDQ3xkiwwf/58QV6uCPN2hV4813SPiIhIKt8cKMQPR4shlwlYPHswAtXdW5WWahxft+tMFTQcX0eXYBcJfU969tlnUV9fb74VFhZKHRIRkUOxdEO883EfPRER2YKs4nq8svYYAOCZSfEYFu3X7ddIDPeGv4cSTe1aHMqrtXSI5CDsIqEPCQkBAJSXl3e6v7y83PzYbwUEBEAul3frOQCgUqng5eXV6UZERJZR29yBwppWAMBACy+5B87toz9awA8+REQkjfpWDR5degQdWj0m9gvCQ2Njrup1ZOeNr9vGffR0CXaR0EdHRyMkJASbN28239fQ0ID9+/dj5MiRF32OUqnEkCFDOj1Hr9dj8+bNl3wOERFZl2m5fXSAB7zdXCz++imRvgAMFXpRFC3++kRERJcjiiKeWZmOgpoWRPi64Y1pKZB1Y9/8b403LrvfzvF1dAk2k9A3NTUhLS0NaWlpAAyN8NLS0lBQUABBEPD000/jH//4B9asWYPMzEzMnTsXYWFhmDp1qvk1brjhBixevNj89cKFC/HJJ5/gyy+/xIkTJ/DII4+gubkZ8+bN6+HvjoiIACDTSg3xTBLDvSGXCahobEcpx/wQEVEP+2xXLn49Xg6lXIb/zhkMb/dru3g9Li4QMgE4WdaIkrpWC0VJjkQhdQAmhw4dwoQJE8xfL1y4EABw3333YcmSJfjTn/6E5uZmPPTQQ6irq8OYMWOwfv16uLq6mp9z9uxZVFVVmb+eMWMGKisr8dJLL6GsrAwpKSlYv379BY3yiIioZ6Qbm9UlWXD+/PnclHIkhKhxrKQBaYV1CPNxs8p5iIiIfutwfg3+9ctJAMCLt/ZDkgV6xfh6KJES6YMjBXXYfroSs4ZFXfNrkmMRRK5JvKyGhgZ4e3ujvr6e++mJiK7RiFc3o6yhDSseHnlVDYK64vkfMrF0fwEeGheD527uZ5VzEBERna+6qR23vLsLZQ1tuC05DO/OTIEgXP1S+/O9tzkbb2w8jRv7B+PjuddZ5DXJ9nU1D7WZJfdEROTYKhraUNbQBpkADAiz3gVSU2O8tII6q52DiIjIRKcX8fTyNJQ1tCEm0AOL7ky0WDIPAKnGefS7z1ShQ8vxddQZE3oiIuoRpuX2sUGe8FBZb8fXIOPousziemg5t5eIiKxs8ZYz2JldBVcXGT6YMwSeFn6PGxDmhQBPFZo7dDiUV2PR1yb7x4SeiIh6hKkhniX2FF5OTIAn1K4KtGp0OFXeaNVzERGRc9uVXYW3N58GAPxzaiLiQ9QWP0fn8XXsdk+dMaEnIqIeYe2GeCYymYBk40WDtMI6q56LiIicV1l9G5769ihEEZg5NBJ3DYmw2rkmJBgS+q0nOY+eOmNCT0REVieKIjKLTQm9j9XPx330RERkTRqdHo8vO4Lq5g70D/XCK1MGWPV8Y2MN4+uyK5pQVNti1XORfWFCT0REVldU24qa5g4oZAISrLAc8bfMCT0r9EREZAX/2XAKh/JroVYp8N85g+HqIrfq+bzdXTCkly8AYNspLrunc5jQExGR1Zmq8wmhaqt/6AGAFGNjvDOVTWhs01j9fERE5Dx+PVaGj3fkAAD+My0JvQM8euS8pm73TOjpfEzoiYjI6tJ7qCGeSYCnChG+bhBFIMO4d5+IiOhaFVS34A8r0wEAD4yOxk0DQ3vs3Knxhn30e85WoV2r67Hzkm1jQk9ERFaXaWqIF27dhnjn47J7IiKypDaNDo8uO4zGNi0GRfngL5MTevT8/UO9EKRWoaVDh4O5tT16brJdTOiJiMiq9HrxXELfQxV64FxCf5SN8YiIyAL+vu44soob4OvugvdnD4ZS0bOplCAI5ir91lPsdk8GTOiJiMiq8qqb0diuhUohQ1ywZ4+dd5BxH31aYR1EUeyx8xIRkeNZnVaMpfsLIAjAWzNSEObjJkkc5/bRM6EnAyb0RERkVaY97APCvOAi77m3nQFh3lDIBFQ1taO4rrXHzktERI7lTEUjnv0+EwDw+IRYc1IthdGxAZDLBJytbEZhDcfXERN6IiKysgwJltsDgKuLHP1CvQBwHz0REV2dlg4tHvn6CFo6dBjVxx9PT+wraTzebuePr2OVnpjQExGRlWWYO9z3XEM8E3NjPO6jJyKibhJFEc//kIXsiiYEqVV4Z+YgyGWC1GGZ99FzfB0BTOiJiMiKtDo9jpU0AJA4oWeFnoiIuumbA4X44Wgx5DIB780ahEC1SuqQAAATjEv+d5+tQpuG4+ucHRN6IiKymjOVTWjV6OChlCMmoOca4pmkGBvjZRbXQ6PT9/j5iYjIPmUV1+OVtccAAH+8MR7DY/wljuichBA1Qrxc0abR40BujdThkMSY0BMRkdVkFBr2zw8M94ZMgmWK0f4e8HJVoF2rx6myxh4/PxER2Z/6Vg0eXXoEHVo9bkgIwsPjYqQOqROOr6PzMaEnIiKrySiuAwAkG5e+9zSZTDCf+yiX3RMR0RWIoohnVqajoKYF4T5ueGN6siQXpK/ElNBv5z56p8eEnoiIrOZch/ue3z9vMoiN8YiIqIs+25WLX4+XQymX4b9zBsPHXSl1SBc1OjYACpmAnKpm5Fc3Sx0OSYgJPRERWUW7VocTpcaGeOE+ksVh2kefVlgrWQxERGT7DufX4F+/nAQAvHBrP8lWl3WF2tUF1/U2ja9jld6ZMaEnIiKrOFXWCI1OhI+7CyL93CSLIznCBwBwtrIZ9a0ayeIgIiLbVd3UjseWHoVWL+K25DDcO6KX1CFdkanbPffROzcm9EREZBWm5faJ4d4QBOn2H/p7qhDl526MqU6yOIiIyDbp9CKeXp6GsoY2xAR6YNGdiZK+b3VVqjGh33u2muPrnBgTeiIisgpT8myqkEsphfvoiYjoEhZvOYOd2VVwdZHhgzlD4KlSSB1Sl/QN9kSYtyvatXrszamWOhySCBN6IiKyCnOFXsKGeCbmhJ6d7omI6Dy7sqvw9ubTAIB/TE1EfIha4oi6ThAEjDdW6dnt3nkxoSciIotr7dAhu6IJgI1U6M2N8eogiqK0wRARkU0oq2/DU98ehSgCM66LxN1DIqQOqdsmcB6902NCT0REFne8tB46vYhAtQrBXiqpw0H/UC+4yAVUN3egqLZV6nCIiEhiGp0eT3xzBNXNHegX6oW/3j5A6pCuyqjYALjIBeRXtyC3iuPrnBETeiIisrj0QsNy++QIaRvimbi6yNE/1AsAcJTL7omInN7rG07hYF4tPFUK/HfOYLi6yKUO6ap4qhQY2tsPALCNVXqnxISeiIgsLrPY1OHeR9pAzsPGeEREBAAbj5fjox05AID/3J2E6AAPiSO6NufG13EfvTNiQk9ERBaXbuxwnxQpfUM8k3P76GulDYSIiCRTWNOCP6xIAwDMG90bkxNDpQ3IAlKN++j35VSjtYPj65wNE3oiIrKohjYNcioN+/iSwm0ooY/0BQBklTSgQ6uXOBoiIuppbRodHl16BA1tWgyK8sGzk/tJHZJFxAZ5ItzHDR1aPfbmVEkdDvUwJvRERGRRWcbl9uE+bvD3lL4hnklvf3f4uLugQ6vHybIGqcMhIqIe9o+fjiOzuB4+7i5YPHswlArHSIUEQTBX6bdx2b3TcYz/iomIyGaY5s8n29Bye8Dwgcc0Qo/z6ImInMvqtGJ8va8AAPDWjBSE+7hJHJFlndtHX8HxrE6GCT0REVlUZpHtNcQzYWM8IiLnc6aiEc9+nwkAeHxCrDn5dSSjYv2hlMtQWNOKHI6vcypM6ImIyKJMDfGSI2yrQg+c3xivTtI4iIioZ7R0aPHI10fQ0qHDyBh//P53faUOySrclQoMjzGMr9t6kuPrnAkTeiIispia5g4U1bYCAAbYUEM8kxTjkvucqmbUt2ikDYaIiKxKFEW88EMWsiuaEKhW4Z1ZKZDLBKnDsprxfQ376Lef5j56Z8KEnoiILCbDWJ2PCfCAt5uLtMFchK+HEr393QEAacZYiYjIMX17sBDfHy2GTADemzUIQWpXqUOyqgkJhq0E+3Nq0NyulTga6ilM6ImIyGLM++dtcLm9CffRExE5vuqmdvx17TEAwB8nxWNEjL/EEVlfTIAHIv3c0KHTY+/ZaqnDoR7ChJ6IiCwm3ZjQJxmXttsic0JfWCttIEREZDVf7ytAm0aPxHBv/N+4PlKH0yMEQejU7Z6cAxN6IiKymMziOgBAki1X6KN8ARga43G0DxGR42nT6PDVvjwAwIJxMZA58L753zp/Hj3f45wDE3oiIrKI8oY2lDe0QyYAA8K8pA7nkvqFqqGUy1DbokFBTYvU4RARkYWtTitGVVMHwn3ccPPAEKnD6VEjYwKgVMhQXNeKMxVNUodDPYAJPRERWUSGcbl9XJAa7kqFxNFcmkohR3/jBYej3EdPRORQRFHEpztzAQD3j+oNhdy50h03pdzcL2DbKXa7dwbO9V84ERFZjanDvS0vtzc5t4++TtI4iIjIsrafrkR2RRM8VQrMGBYpdTiSmGBadn+a++idARN6IiKyCFOFPsmYLNuyQVE+AICjTOiJiByKqTo/Y2gkvFxtb3xqT0g1NsY7kFuDJo6vc3h2k9D37t0bgiBccHvssccuevySJUsuONbV1bFnTxIRSUUUxXMV+nD7qdCfKGlAu1YnbTBERGQRJ0obsOtMFWQCMG90b6nDkUx0gAd6+btDoxOx50yV1OGQldlNQn/w4EGUlpaabxs3bgQATJs27ZLP8fLy6vSc/Pz8ngqXiMipFNW2orZFAxe5gIRQtdThXFGUnzv8PJTo0OlxvKRB6nCIiMgCTNX5yYmhiPB1lzgaaZ0bX8d99I7ObhL6wMBAhISEmG/r1q1Dnz59MH78+Es+RxCETs8JDg7uwYiJiJyHabl9QogXVAq5xNFcmSAISDbu9ec+eiIi+1fR0IY16cUAgAVjYySORnrjjfvot5+q4Pg6B2c3Cf35Ojo68PXXX+OBBx6AIFx6rmRTUxN69eqFyMhI3H777Th27FgPRklE5DzsqSGeSUrkuXn0RERk377cmweNTsR1vXzN26qc2cgYf6gUMpTUt+F0OcfXOTK7TOh//PFH1NXV4f7777/kMfHx8fj888+xevVqfP3119Dr9Rg1ahSKioou+9rt7e1oaGjodCMiosszN8Szp4Te2BiPCT0RkX1r6dBi6f4CAMB8VucBAK4ucozsYxpfx273jswuE/rPPvsMkydPRlhY2CWPGTlyJObOnYuUlBSMHz8e33//PQIDA/HRRx9d9rUXLVoEb29v8y0y0jnHXRARdZVeLyKr2JTQ+0gbTDekGGPNr25BTXOHtMEQEdFV++5wEepaNOjl747f9ecWW5Nz++iZ0Dsyu0vo8/PzsWnTJsyfP79bz3NxccGgQYNw5syZyx737LPPor6+3nwrLCy8lnCJiBxebnUzGtu1cHWRIS7IU+pwuszb3QUxAR4AgHRW6YmI7JJeL+KzXYZmeA+MjoZcduntuM4m1biP/lBeLRrbNBJHQ9Zidwn9F198gaCgINxyyy3dep5Op0NmZiZCQ0Mve5xKpYKXl1enGxERXZpp//yAMG8o5Pb1tmLaZ8l59ERE9mnTiXLkVbfAy1WBu4dESB2OTenl74GYAA9o9SJ2c3ydw7KrT156vR5ffPEF7rvvPigUik6PzZ07F88++6z567/97W/49ddfkZOTgyNHjuCee+5Bfn5+tyv7RER0eab984l2MH/+t7iPnojIvn1qrM7PGdELHirFFY52PqZu99s4vs5h2VVCv2nTJhQUFOCBBx644LGCggKUlpaav66trcWCBQvQr18/3HzzzWhoaMCePXvQv3//ngyZiMjhmRL65Eg7TOiNFfr0wjqO9SEisjMZRXU4kFsDhUzAfSN7Sx2OTTLto992qpLvcw7Kri5j3XjjjZf8D3Hbtm2dvn7rrbfw1ltv9UBURETOS6vT41iJqULvI20wVyEhxAtKhQz1rRrkVjUjJtB+egAQETm7T3caqvNTksMQ4u0qcTS2aVi0H9xc5ChraMPJskb0C+V2YkdjVxV6IiKyLdkVTWjT6KFWKcwN5uyJUiHDwDDDhxsuuycish/Fda34KdOwOveBMdESR2O7XF3kGGUcX8du946JCT0REV21TONy+4Hh3pDZaWfhQVG+AJjQExHZky/35EGnFzEyxh8D7bCHS09K5T56h8aEnoiIrlq6scN9UoT9fpgy7aNnQk9EZB8a2zT4Zn8BAGDBOFbnryTVuI/+cH4tGji+zuEwoScioqtmaoiXFOEjbSDXwJTQnyhtQJtGJ20wRER0RSsOFaGxXYuYQA+k9g2SOhybF+nnjj6BHtDpRezK5vg6R8OEnoiIrkq7VoeTZQ0A7LtCH+HrhgBPJTQ6EcdKGqQOh4iILkOr0+Nz46i6+WNi7Ha7V09LNXe75z56R8OEnoiIrsrJ0kZodCJ83V0Q4esmdThXTRAELrsnIrITG46Vo7iuFX4eStw5OFzqcOwGx9c5Lib0RER0VTKKjePqInwgCPZdIWFCT0Rk+0RRxCc7cwAA94zoBVcXucQR2Y+h0b5wV8pR0diO46VcjeZImNATEdFVyTAmv8l2vNzeJCXS1Om+VuJIiIjoUo4U1CKtsA5KhQz3jugldTh2RaWQY1SfAADsdu9omNATEdFVyTRV6B1gXFBSpDcEASisaUV1U7vU4RAR0UV8ssOwd/6OlHAEqlUSR2N/zo2v4z56R8KEnoiIuq2lQ4vT5Y0AgGTjcnV75uXqgj6BngC47J6IyBblVzdjw/EyAMCDYzmq7mqYEvrD+bWob+H4OkfBhJ6IiLrteEkD9CIQpFYh2MtV6nAsgvvoiYhs1xe78yCKwPi+gegbrJY6HLsU4euOuCBP6EVg5xkuu3cUTOiJiKjb0h1g/vxvMaEnIrJN9S0arDhUCACYz+r8NZmQYOh2v/UkE3pHwYSeiIi6LbOoDoBjNMQzOT+h1+s50oeIyFYsO1CAlg4dEkLUGBMbIHU4di21r2HZ/fbTlXyvcxBM6ImIqNsyikwj6xwnoU8IUcPVRYbGNi1yqpqlDoeIiAB0aPVYssfQDO/BMdF2PyZVatf19oOHUo6qpnYcK+H4OkfAhJ6IiLqloU1jTngdacm9Qi4zd+znsnsiItvwU2YJyhvaEahWYUpKmNTh2D2lQobRsabxdex27wiY0BMRUbdkGavzEb5u8PNQShyNZZ1bds959EREUhNFEZ/uNFTn7xvZCyqFXOKIHIN5Hz0TeofAhJ6IiLolwzh/PtmBqvMmKZG+AFihJyKyBXtzqnGspAGuLjLMGd5L6nAchml8XVphHepaOiSOhq4VE3oiIuqWDGNDPEfaP2+SEuUDADhZ2og2jU7aYIiInNxnxur83UMi4OtgK8KkFOrthoQQNfQisCO7Supw6BoxoSciom5JLzSNrHO8hD7M2xWBahW0ehFZxpUIRETU885UNGHzyQoIAvDAaI6qs7Txxir9tpNcdm/vmNATEVGXVTe1o7iuFQAwMNzxEnpBEDiPnojIBny+21CdvyEhGDGBnhJH43gmxBv20XN8nf1jQk9ERF1m2j8fE+gBL1cXiaOxDlNCf5QJPRGRJKqb2vHd4SIAwIKxrM5bw5BevlCrFKhu7kAmV6TZNSb0RETUZZnGDvdJDlidNxlkqtAX1EkaBxGRs1q6vwDtWj0Sw70xLNpP6nAckov8/PF1lRJHQ9eCCT0REXWZqSGeI82f/63ECG8IAlBc14rKxnapwyEiciptGh3+tzcPADB/bDQEQZA2IAc2IcGwj57j6+wbE3oiIuqyjCLHbYhnonZ1QVyQYb8m99ETEfWsNWklqGrqQKi3K25ODJU6HIc2vq9hH316UR1qmjm+zl4xoScioi4pq29DRWM75DIBA8IcN6EHcF5jvFppAyEiciKiKOLTXTkAgHmje8NFzlTFmkK8XdEv1AuiCOw4zWX39oq/JURE1CWm5fZxQZ5wU8qlDcbKUiJ9AbBCT0TUk3ZkV+F0eRM8lHLMGBoldThOIdU0vo7L7u0WE3oiIuoSZ1hub2Kq0GcU1nOcDxFRD/l0p6E6P2NoFLzdHHOSiq05f3ydju93dokJPRERdYlpZJ0jN8Qz6RvsCTcXORrbtThb2SR1OEREDu9kWQN2ZldBJhiW21PPGBzlA7WrArUtGvNKPLIvTOiJiOiKRFE8r8O941foFXIZEo3fJ+fRExFZ36c7cwEAkweGItLPXeJonIdCLsO4OFO3e+6jt0dM6ImI6IqKaltR16KBUi5DfIha6nB6hHkePRN6IiKrqmhow+q0YgDAg2OjJY7G+Yw37qPfzn30dokJPRERXVG6sTqfEKqGSuHYDfFMzJ3uC+okjYOIyNH9b28+NDoRQ3r5YnCUr9ThOJ3UvoaEPr2oHlVN7RJHQ93FhJ6IiK7ImRrimaRE+QAw7Ots6dBKGwwRkYNq7dDh6/35AID5Y1idl0KQlysGhHkB4Pg6e8SEnoiIrsi8fz7cR9I4elKotxuCvVTQi0Cm8YIGERFZ1qojRahr0SDSzw03DgiROhynZep2z3309ocJPRERXZZeLyKruAEAkBTpPBV64Lxl99xHT0RkcXq9iM93GZrhPTA6GnKZIHFEzss0j35nNsfX2Rsm9EREdFk5Vc1oatfC1UWG2EBPqcPpUSmRhr2cTOiJbJsoijhb2QQ9ExG7svlkBXKrmqF2VWD6dZFSh+PUUiJ94O3mgroWDd/z7AwTeiIiuizTcvuBYd5QyJ3rbYMVeiL78PGOHNzwxnZ8uOOs1KFQN3y6MwcAMHt4FDxUComjcW4KuQxj4wIAANvY7d6uONcnMyIi6rZzDfF8pA1EAkkR3pAJQGl9G8ob2qQOh4guoqldi/9uMyTyX+zOg0anlzgi6orMonrsz62BQibg/lG9pQ6HAKQa99Fv4z56u8KEnoiILsvcEM+JOtybeKgU6BusBgAc5fg6Ipv09b581LdqAACVje3YfKJc4oioKz7dZajO35oUilBvN4mjIQAYbxxfl1lcj4pGXsS2F0zoiYjokrQ6PY6VGBviOWFCD3DZPZEta9PozMu244IMPT6W7i+QMiTqgpK6VqzLKAUAzB8bI3E0ZBKoViEx3PBev+N0lcTRUFcxoScioks6Xd6Edq0eapUCvf09pA5HEucS+lppAyGiC3x7oABVTR2I8HXDR/cOAQDszK5CYU2LxJHR5Xy5Jw86vYgRMX4YGO6cF4tt1QRjt/ut3EdvN5jQExHRJWUW1wEAEiO8IXPScUIpUT4ADPs9OcqHyHa0a3X4aIehOv9Iah/EBHqam3p9c4BVelvV1K7FMuO/zwJW523OeOM++p2nK6FlPwq7wISeiIguKd3YEC/RSZfbA0BckBoeSjmaO3TIrmiUOhwiMvr+SDFK69sQ7KXC3UMiAABzhkcBAFYcKmJzPBu14mAhGtu0iAn0wARj8ki2IyXSBz7uLmho0+Iot5rZBSb0RER0SZnGhD7ZCTvcm8hlgvmCRhob4xHZBK1Oj/9uOwMAeHhcH6gUcgDADf2CEahWoaqpHRuPszmerdHq9Ph8dy4A4MEx0U678suWyWUCxsUZlt1zfJ19YEJPREQX1a7V4WSZoSFeopPvcUyJ9AXAxnhEtmJNegkKa1rh76HErGFR5vtd5DJMv85Qreeye9vz6/FyFNW2wtfdBXcOipA6HLqECQnGffQnOb7OHthNQv/KK69AEIROt4SEhMs+Z+XKlUhISICrqysSExPx888/91C0RET272RpIzQ6EX4eSkT4OvdIIXa6J7IdOr2I97caqvPzx8bATSnv9PjMoVEQBENzvPzqZilCpEv4xDiR4N4RvS74dyPbMS4uEIIAHC9tQHkDx9fZOrtJ6AFgwIABKC0tNd927dp1yWP37NmDWbNm4cEHH8TRo0cxdepUTJ06FVlZWT0YMRGR/TLNn08M94YgOPeyyEHGxninyxvR3K6VNhgiJ7c+qwxnK5vh7eaCe0ZEXfB4pJ+7ecnwNwcKezo8uoTD+bU4WlAHpVyGe0b2kjocugx/TxWSjFvttp9ild7W2VVCr1AoEBISYr4FBARc8th33nkHN910E5555hn069cPf//73zF48GAsXry4ByMmIrJf6eb988693B4Agr1cEertCr0IZBh/LkTU80RRxHtbsgEA94/qDbWry0WPm21sjrfqcCE6tGyOZws+NVbnpw4KQ5DaVeJo6EpS+xr30Z/mPnpbZ1cJfXZ2NsLCwhATE4M5c+agoODSe6P27t2LiRMndrpv0qRJ2Lt3r7XDJCJyCJnmDvc+0gZiI7jsnkh6m09U4GRZIzyUcswb3fuSx12fEIQgtQpVTR349XhZzwVIF1VQ3YINxwz/Dg+O4ag6ezAhwTS+rooTI2yc3ST0w4cPx5IlS7B+/Xp88MEHyM3NxdixY9HYePERQmVlZQgODu50X3BwMMrKLv9Hvb29HQ0NDZ1uRETOpqVDax7Rxgq9wbmEvlbaQIiclCiKWGzcO3/vyN7wcVde8lgXuQwzhkYCYHM8W/D57lzoRWBc30DEh6ilDoe6ICncG34eSjS2a3Ekn+97tsxuEvrJkydj2rRpSEpKwqRJk/Dzzz+jrq4OK1assOh5Fi1aBG9vb/MtMjLSoq9PRGQPjpU0QC8CIV6uCPLi0kiAFXoiqe0+U420wjq4usgwf2z0FY+fMTQSgmB4Xl4Vm+NJpb5VgxWHDL0M5o+58r8b2QaZTMB487J77qO3ZXaT0P+Wj48P+vbtizNnzlz08ZCQEJSXd54/Wl5ejpCQkMu+7rPPPov6+nrzrbCQzVSIyPmkG5PWRFbnzRIjvCGXCShvaEdpfavU4RA5HdPe+VnDohDgqbri8RG+7uZ9wKzSS+ebAwVo6dAhPliNsXGX7n9Ftic13jS+jvvobZndJvRNTU04e/YsQkNDL/r4yJEjsXnz5k73bdy4ESNHjrzs66pUKnh5eXW6ERE5m8xiNsT7LXelAn2DDUtF0wrqpA2GyMkcyK3B/twaKOUyPDSu63uwZw83dFNfebgI7VqdtcKjS9Do9FiyOw8A8ODYaKefmGJvTOPrTpY1oqye4+tsld0k9H/84x+xfft25OXlYc+ePbjjjjsgl8sxa9YsAMDcuXPx7LPPmo9/6qmnsH79erzxxhs4efIkXnnlFRw6dAiPP/64VN8CEZHdyGBDvIvisnsiaZj2zt99XQRCvd26/LwJ8YEI8XJFTXMHfj1WfuUnkEX9lFGKsoY2BHiqcHtKmNThUDf5eijN73vbTrFKb6vsJqEvKirCrFmzEB8fj+nTp8Pf3x/79u1DYKBhKUhBQQFKS0vNx48aNQrLli3Dxx9/jOTkZKxatQo//vgjBg4cKNW3QERkF+pbNcg17jdNCmeF/nyDjB9sjjKhJ+ox6YV12HG6EnKZgEfG9+nWcxVyGaYbm+Mt289l9z1JFEV8usswqu6+kb2gUsgljoiuRmpfQ7f7bZxHb7MUUgfQVd9+++1lH9+2bdsF902bNg3Tpk2zUkRERI4py7jcPtLPDb4el+4i7YxSonwAGEb6aXV6KOR2c12cyG6ZqvNTU8IR6efe7efPHBqJxVuysTenGjmVTYgJ9LR0iHQR+3JqkFXcAFcXGeaM6CV1OHSVJiQE4q1Np7HrTBU6tHooFXzfszX8FyEiok5My+2TuNz+An0CPeGpUqBVo8Pp8iapwyFyeCfLGrDxeDkEAXh0Qveq8yZhPm6YEG+oMrI5Xs/5zFidv2twBPx4cdhuDQzzRoCnEk3tWhzm+DqbxISeiIg6ySiqA8Dl9hcjlwlIMjYK5D56Iut7f+tZAMDNiaHocw2V9VnDogAAqw4XoU3D5njWdrayCZtOGPZcP8hRdXZNJhMwzjS+jvvobRITeiIi6oQV+ss71xiPlQoiazpb2YR1GSUAgMcnxF7Ta6XGByLU2xW1LRpsOFZmifDoMj7flQsAmNgviFscHEBqPPfR2zIm9EREZFbd1I7iulYIAjAwnGM7L4ad7ol6xgfbzkIUgYn9gtEv9Nr+HinkMsxgc7weUdPcgVWHiwAA88d2fcQg2a5xcQGQCcCp8kaU1LVKHQ79BhN6IiIyM1XnYwI8oHZ1kTga22RqjJdd0YTGNo20wRA5qMKaFvxwtBgA8Pj111adN5kxNBIyAdifW4MzFeyBYS1L9+WjXavHwHAvDI/2kzocsgAfdyUGRfkCYJXeFnWpy/2aNWu6/IJTpky56mCIiEhapoQ+mcvtLylI7YpwHzcU17Uis6geo2IDpA6JyOF8uP0sdHoRY+MCzKtirlWotxuuTwjCphMV+OZAAV68tb9FXpfOadPo8OXefADAgrExEARB4ojIUibEB+Jwfi22nqrA7OFRUodD5+lSQj916tROXwuCAFEUO31totOx0QgRkb0yNcRLjGBDvMtJifJBcV0rjhbWMaEnsrCy+jasPGRYsv3E9XEWfe3Zw6Ow6UQFvjtShGcmxcPVhbPRLWlNegmqmtoR6u2KmxNDpQ6HLCg1Pgiv/3oae85UoV2rg0rB3x1b0aUl93q93nz79ddfkZKSgl9++QV1dXWoq6vDzz//jMGDB2P9+vXWjpeIiKxEFEVkFLMhXlcM4j566oamdi2+2puHupYOqUOxCx/vyEGHTo9h0X4YZuEl2+P7BiHcxw11LRqsz2JzPEsSRRGf7TQ0w7t/VG+4yLmz15H0D/VCoFqF5g4dDuWxKawt6fZv2tNPP4133nkHkyZNgpeXF7y8vDBp0iS8+eabePLJJ60RIxER9YCyhjZUNrZDLhPQ/xobUDm68xvjnb9ijehi/r3+JF5cfQwPf3UYej3/e7mcqqZ2LDtgWLJ9rZ3tL0YuE9gcz0p2ZlfhVHkjPJRyzBzGJdmORiYTMJ7j62xStxP6s2fPwsfH54L7vb29kZeXZ4GQiIhICqb9832D1XBTcind5QwM94ZCJqCysR0l9W1Sh0M2rLldi++PGJq77c+twWfGcV50cZ/tykWbRo/kCG+MjbPOdpbp10VCLhNwIK8G2eWNVjmHM/pkZw4AYPrQSHi7samqI5rA8XU2qdsJ/dChQ7Fw4UKUl5eb7ysvL8czzzyDYcOGWTQ4IiLqOab980nh3D9/Ja4uciSEqgEAaQV10gZDNm11Wgma2rVwdTF85PrPhlM4WdYgcVS2qb5Fg6+MDdUevz7Oag3VQrxdcX2CITH55kChVc7hbE6VNWJndhVkAvDA6GipwyErGRMXALlMQHZFE4pqW6QOh4y6ndB/9tlnKC0tRVRUFGJjYxEbG4uoqCgUFxfjs88+s0aMRETUA0wV+qRIJvRdcW7ZPfcS0sWJooil+w0J6h9vjMcNCUHo0Onx++XpaNeyifBvLdmTh6Z2LRJC1LjBmHBbi6lL93dHitCm4b/FtfrUWJ2/aWAIIv3cJY6GrMXbzQVDOL7O5nQ7oY+Li0NGRgbWrl2LJ598Ek8++STWrVuHzMxMxMZafq8TERFZnyiKyDQ1xAv3kTYYO5ESafhQw8Z4dCnpRfU4VtIApUKGu4dEYNFdifDzUOJEaQPe2pgtdXg2paldi893G7YjPH59LGQy6447GxcXiHAfN9S3avBzZqlVz+XoKhrbsDqtBADw4JgYiaMhaxsfz330tqZbCb1Go4FCocCxY8dw4403mhP63/3ud5wzSURkxwprWlHXooFSLkN8iFrqcOyCqUKfWVwPjU4vbTBkk77eZ6jO35oUCh93JYLUrnj1jkQAwEc7zuJgXo2U4dmUr/flo75Vg5hAD0weaP1xZ3KZgFnD2BzPEr7am48OnR6Do3wwpJev1OGQlaUaE/rdZ6q50shGdCuhd3FxQVRUFGfNExE5mHTj/vl+oWooFRw11BUxAR5QuyrQptHjVBkba1Fn9S0arE03VC3nDO9lvv+mgSG4a3AERBFYuCINTe1aqUK0Ga0dOvOS7cdSYyG3cnXeZJqxOd6h/FqcZnO8q9LaoTNfuJo/ltV5Z9A/1AtBahVaNTocyOVFSVvQ7U9tzz//PJ577jnU1PAfkIjIUWRy/ny3yWRCp/F1ROf77kgR2rV6JISoMTjKp9NjL0/pj3AfNxTWtOLva49LE6AN+fZgAaqaOhDp54YpKWE9dt5gL1dM7GfYq88q/dX57kgRals0iPRzw6QBIVKHQz1AEARzlZ776G1DtxP6xYsXY8eOHQgLC0N8fDwGDx7c6UZERPYn3ZiQJkawIV53MKGnizm/Gd49I3pdsC3Ry9UFb0xPhiAAyw8VYuPx8ou9jFNo1+rw0XZDdf6R8bFwkffsCqHZxtUT37M5Xrfp9SI+N45hnDcqusdWVpD0TOPrtnIfvU1QdPcJU6dOtUIYREQkFb1eRJaxQp/MCn23MKGni9mXU4Ozlc3wUMoxdVD4RY8ZEeOPBWNj8PGOHPzluwwMihqHAE9VD0cqve8OF6OsoQ0hXq64a8jFf1bWNDY2AJF+htUS6zJKcfeQiB6PwV5tOVmBnKpmqF0VmD40UupwqAeNjguAQiYgp7IZBdUtiPLnZAMpdTuhf/nll60RBxERiutaAQDhPm4SR+Jccqqa0Nyhg5uLHLFBnlKHY1dMCf3ZyiY0tGng5eoibUBkE0zV+dsHhcNTdemPWgt/1xfbT1XiVHkjnv0+Ex/fO8SpmgxrdXp8sP0MAOChcTFQKeQ9HoNMJmDm0Cj8Z8MpLNufz4S+Gz7dZVhZMXtY1GX/OyfH4+XqgiG9fLE/twbbTldg7sjeUofk1Nj5iIgkd7ayCU99exRjXtuCyW/vQE1zh9QhOZX0QkN1fmC4F5dMdpO/pwqRfm4QRSDD+HMk51bZ2I4Nx8oAGBKdy3F1keOtGSlwkQvYeLwcKw8X9USINmNNegkKa1rh76HErCv8rKxp2nURUMgEHCmow8myBsnisCdZxfXYl1MDhUzA/aN7Sx0OSSDVuOye++il1+2EXqfT4fXXX8ewYcMQEhICPz+/Tjcioq7Kr27GwhVp+N2b27E6rQSiCDS0aTkTuIexId61OTePvlbiSMgWrDxcCI1OREqkDwaGX7knRf8wLyz8XTwA4K9rjqGwpsXaIdoEnV7E+1sN1fn5Y2Pgpuz56rxJkNoVv+sfDAD4hs3xusQ0leCWpFCEenNVnTOakGBojLfnbBX7T0is2wn9X//6V7z55puYMWMG6uvrsXDhQtx5552QyWR45ZVXrBAiETmawpoW/HlVBq5/Yzu+P1IMvQhM7BeE2cMNFZo1aSUSR+hcTCPrktgQ76qYlt0fLaiTNA6Snl4vmrul3zOi1xWOPuehcTEY2tsXzR06/GFFOnR60Voh2oz1WWU4W9kMbzcX3DNCuuq8ien95/ujxWjtYHJyOaX1hn4DADB/DEfVOav4YDVCvFzRptFjP8fXSarbCf3SpUvxySef4A9/+AMUCgVmzZqFTz/9FC+99BL27dtnjRiJyEEU17XiuR8yMeH1bVh+qBA6vYjU+ECsfmw0Pr1vKB6fEAsAOJBXgxLjfnqyLo1Oj+MlhiWmrNBfnfMb44mi4ydidGnbsytRVNsKL1cFbk0K7fLz5DIBb0xLgYdSjgN5NfjEWP10VKIo4r0t2QCAeaN7Q20DvSdG9wlAlJ87Gtu0WJvBi8qXs2RPHrR6EcOj/TgZxYkJgmCu0m89yW73Uup2Ql9WVobExEQAgKenJ+rrDUs1b731Vvz000+WjY6IHEJZfRteWp2FCf/ZhmX7C6DVixgbF4DvHhmFJfOGIdmYEIX5uGFYtGHrztp0fqDqCafLG9Gu1UPtqkAvP3apvRoDwrzgIhdQ3dyBolpeiHJmS/cZqvN3D4mEq0v3lpBH+bvjpdv6AwDe+PWU+UKbI9p8ogInyxrhqVLg/lG9pQ4HgLE53jBDp3bOpL+0pnat+eezYCyr885ufF/DPvotJyu47F5C3U7oIyIiUFpqWGbTp08f/PrrrwCAgwcPQqVyvnErRHRpFY1t+OvaYxj3n6343958dOj0GBnjjxUPj8RXDw7HkF6+Fzzn9pQwAIZmSWR9mUWm/fPekLEh3lVxdZGjX6gXAOAox9c5rZK6Vmw5aZgnb1q+3V3Tr4vExH7B0OhELFyRhnat431AFkUR7xn3zt87shd83JUSR3TOtCGRUMgEpBXWOfQFlWux8lAhGtu0iAnwwPUJQVKHQxIbExcAD6UcBTUtuPvDPU7TA8TWdDuhv+OOO7B582YAwBNPPIEXX3wRcXFxmDt3Lh544AGLB0hE9qeqqR3//Ok4xv17K77YnYcOrR5De/ti2YLh+OahEeYq/MXcPDAUCpmAYyUNOFPR1INRO6d0Y0KfGO4jbSB2zrzsnvvonda3BwuhF4GRMf5XPf5REAT8665E+HsocbKsEW/+etrCUUpv15kqpBfWwdVFhgfHREsdTieBahUmDQgBAHxzgFX639LpRXy+OxcA8MCYaF4EJniqFPhk7nXw81Aiq7gBt7y703xhk3pOtxP6f/3rX3juuecAADNmzMDOnTvxyCOPYNWqVfjXv/5l8QCJyH7UNHfgX7+cxNjXtuKTnblo0+gxKMoHXz84HCseHolRfQKu+Bq+HkqM62vYk8UqvfVlFtcBAJK5D/KanNtHz073zkij0+NbYwI45xobvAV4qrDoTsPWxo935mB/TvU1x2dL3ttiqM7PGhaFAE/bW9lpWl3x49FitHRoJY7GtvySVYrCmlb4urvgrsERUodDNmJUbADWPTEGg6J80NCmxQNLDuHNX085RXNPW3HNc+hHjBiBhQsX4rbbbrNEPERkh+paOvD6hlMY+9oWfLj9LFo1OiRFeGPJvKH4/pFRGBMXAEHo+pX8KcnGZfdpxWwyZkVtGh1OljYCABsbXSNTQp9V0oAOrV7aYKjHbT5RjorGdgR4KnFj/5Brfr0bB4Rg+nUREEVg4Yp0NLZpLBCl9A7k1uBAbg2UchkeGmeb+69Hxvijl787Gtu17OVyntrmDvx17XEAwL0je0s6ZpBsT5iPG5Y/NBL3jTRM93h3yxnc/8UB1DR3SByZc+h2Qh8VFYW5c+fis88+w9mzZ60RExHZiYY2Dd7edBpjX9uKxVvPoLlDh/6hXvh07nVY/dhopMYHdSuRN/ld/2C4usiQV92CDOOScLK8k2WN0OpF+HsoEe7DOcLXIjrAA95uLujQ6nGyzD723oqiiIqGNuzMrsTKQ4Voamc18motNTYJm35dJJSKa66VAABevLU/InzdUFzXir8ZEyl7t9i4d/7u6yJsdna5TCZg1jBDlX7ZgUKJo7ENoijihR+zUNnYjtggTzya2kfqkMgGKRUy/PX2gXhnZgrcXOTYmV2FW9/diaMFXLlmbYruPuHVV1/Fjh078Nprr2HBggUIDw/H+PHjMX78eKSmpiIuLs4acRKRDWlq12LJ7lx8vCMHDW2GJCAhRI2nJ/bFpAHBV5XEn89DpcDEfsFYl1GKNekl5i74ZFkZ582fv9Z/M2cnCAKSI32w43Ql0grrbG4EYH2rBtnljThV3ohTZYbb6fJG1Lacq/zuOVuNt2akSBekncqrasbO7CoIAsyJoCWoXV3w5vQUzPh4L1YeLsLE/sHm/d32KL2wDjtOV0IuE/DIeNtOCO8eEoE3fj2F9MI6HCupx4Aw517BtDqtBD9llkIhE/DW9JRuT3Ag53J7Sjj6hXrh/746jJyqZkz/aC9eurU/7hnRi581rKTbCf0999yDe+65BwBQWlqK7du3Y926dXj00Ueh1+uh0zleR1YiMmhu1+J/e/Px0Y6zqDMmAnFBnnh6Yl9MHhhi0QY5t6eEY11GKdaml+C5m/tBzuY7Fmda/ZBoY8mnvUoxJfQFdZg7UpoY2jQ6nKlowmlT4l7eiNNljSipb7vo8TIB6OXvgdyqZqxOK8ZjE2KvuqGbszI1T0vtG4hIC49+HBbth4fGxeCj7Tl49vtMDI7yRaDa9vadd4WpOj81JdziPydLC/A0NMdbl1GKZfsL8M87EqUOSTKl9a14cXUWAOCJ6+O4PYu6pG+wGqsfH40/f5eBnzPL8OLqYzicX4tX70yEu7Lb6SddwVX9RFtaWrBr1y5s27YNW7duxdGjRzFw4ECkpqZaODwisgWtHTp8vS8fH24/i2rjfqiYAA88NTEOtyaFWSXZHtc3AF6uClQ0tmN/bnWXGupR95gq9GyIZxmDzI3x6qx+Lq1Oj/yaFpwua8RJY7X9VHkj8qqacak+RGHerugbokZ8sBrxIWr0DVYjNsgTri5yzP/yEDadKMe7m7Px7qxBVo/fUbRpdFhxyLAse87wXlY5x8Lf9cX2U5U4WdaIv3yXgU/vu87uqlwnShuw8Xg5BAF4dIJtV+dNZg+PwrqMUqxOM1xU9lA5XxKi14t4ZmUGGtu0SI70wWN28m9HtkHt6oL3Zw/GZ7tyseiXk/gxrQTHSxvw4T1DEBPIC8eW1O2/TqNGjcLRo0fRr18/pKam4i9/+QvGjRsHX98L50kTkX1r0+iwbH8B/rvtLKqa2gEAvfzd8dQNcZiSHAaF3DJ7RS9GpZDj5sRQfHuwEGvSSpjQW1hzu9Y8FpAVF8swbQ3JqWpGfYsG3u4u1/yaoiiitL7NvFT+tLHqnl3RdMnmez7uLuakPd6YwMcFq+Htdul4np4Yh00nyrE2owRPXB+LuGD1NcfuDNZnlaG2RYMwb1dMsNJMbpVCjrdnpmDKe7ux+WQFlh8sxEwLLu3vCe8bq/O3JIaij518kB8Z44/oAMPqlbXpJXb3M7eE/+3Nw64zVXB1keHN6clWfc8nxyQIAuaPjUFShA8eW3YEp8ubMGXxbvzn7iRMTgyVOjyH0e2E/uTJk/Dw8EBCQgISEhLQr18/JvNEDqZdq8Pyg4V4f+sZlDcYEvkIXzc8eUMc7hwU3mNv6lNSwvDtwUL8klWGv94+ACoF9+1ZyrGSBuhFINTbFUFqV6nDcQh+Hkr08ndHfnUL0orqMN44frGraps7zu1xLz+XvDe2XbxZnZuLHH2DPdH3N8l7oFrV7QruwHBvTBoQjA3HyvHO5mwsnj24W893Vkv35wMAZg6Lsuq2oIQQL/zhxr5Y9MtJ/G3dcYzs449e/h5WO58lna1swk+ZpQCAxybEShxN1wmCgFnDIvHqzyex7ECB0yX0ZyqasOiXkwCAZyf3s5sLMWSbhkX74acnx+DxZUdxILcGjyw9ggVjo/GnmxLgwgtF16zbCX11dTUyMzOxbds2bNiwAc8//zyUSiXGjx+PCRMmYMGCBdaIk4h6QIdWj5WHC7F4yxmUGvfchnm74okb4nDX4AiLdW/uquHR/ghSq1DR2I4dp6vwu/7BPXp+R2Zabp8Yzuq8JaVE+hgS+oJLJ/QtHVpklzedS9zLDcvmKxvbL3q8QiYgJtADfYPVSDAulY8PUSPS192ifSuentgXG46V46fMUjxR1oj4EFbpL+dUWSMO5tVCLhMwY2ik1c83f2wMNp+swIHcGvxhRTqWPzzSLnqL/HfrWYgiMLFfMPqFekkdTrfcPSQSr284jYyiemQV12Ogk/y91Oj0+MOKNLRr9RgbF4B7R1hnOwk5lyC1K5bNH47/bDiFj3bk4JOduUgvrMfi2YMQ5MXCwrXodkIvCAKSkpKQlJSEJ554AocPH8bixYuxdOlSLF++nAk9kR3S6PT4/kgR3t18BsV1rQCAEC9XPHZ9LKZfFyFZZVwuE3Bbchg+25WL1WnFTOgtyNQQjxMELCsl0ger00qQVlgLjU6P3Kpmwx73snMd5gtrWyBeYp97pJ9bpz3u8SFqxAR49sjFtH6hXpg8MAS/ZJXhnc2n8d85Q6x+Tntmqs7f2D8YwT3wYVQuE/DGtGRMfmcnDuXX4qMdZ/Foqm1XvAtrWvBjWjEA4PHrbTvWi/HzUOKmgSFYk16CpfsLsOhO52iO9/7WM0gvqoeXqwL/vjvJohcOybkp5DI8e3M/DIrywR9XZuBAXg1ueW8XFs8ahOEx/lKHZ7e6ndAfOXIE27Ztw7Zt27Br1y40NjYiMTERTzzxBMaPH2+NGInISrQ6PVanleDdLdnIr24BAASqVXg0tQ9mDYuyidE0U4wJ/aYT5Whu1zplYyJrYIXeOlKMF0h2ZFeh/0vrodFdPHMP8FQhPsQT8cFeiA8xLJvvG6yW/L/vpybG4ZesMvycWYYTpQ12V1HtKc3tWnx/xJCoWqsZ3sVE+rnj5dv645lVGXhr42mM7xto0yPVPtx+Fjq9iLFxAebfDXsza1gU1qSXYE1aMZ6/pR88Hfw9KKOoDu9tMfQ8+PvUgQj1dpM4InJENw0MRd9gNR75+ghOlTdi9qf78ZebEjB/bLTdNf20Bd3+qzRs2DAMGjQI48ePx4IFCzBu3Dh4e9vumwkRXUinF7EuowTvbMpGTlUzAMDfQ4lHUvtgzvBecFNKn8ibJEV4o7e/O/KqW7DxeDmmDgqXOiS7V9+iQZ7xAk4SG+JZVP8wL/i6u6C2RQMdAE+VAn2DPREf4oX4YE9zl3l/T9scPZYQ4oVbEkPxU2Yp3tmUjQ/vZZX+Ytaml6CpXYve/u4Y1adnq0p3D4nAxuPl+PV4OX6/PA1rHh9jExdff6usvg0rDxUBMIw7s1cjYvwQE+iBnMpmrEkrwezhjruXvk2jw++Xp0GnF3FLUiimJIdJHRI5sJhAT/zw2Cg8/0MWfjhajH/+fAKH82vxn2lJULtee1NZZ9LthL6mpgZeXrxiT2SP9HoRP2eV4u1N2eYO577uLnh4fB/MHdnLJmeDCoKAKclheHfLGaxJL2FCbwGZxYbl9lF+7vBxV0ocjWNRKeT4/tHRyKtuRlyQJ8J93Oyu2vDUxDj8nFWK9cfKcKyk3qYrwFJZut8we3728KgeX44sCAIW3ZmIIwW1OF3ehNc3nMILt/bv0Ri64uMdOejQ6TEs2g/Dov2kDueqCYKA2cOi8I+fTmDZgXyHTuj/9ctJnK1sRpBahX9OHWh3f7vI/rgrFXhzejIG9/LF39Yew/pjZThV3ogP7xnCPi7d0O1NeV5eXqirq8Onn36KZ599FjU1NQAMS/GLi4stHiARXTu9XsT6rFJMfmcnHl92FGcqmuDt5oJnJsVj55+vx/+N72OTybzJlBRDlWDH6UrUNndIHI39yyiuA8DqvLVEB3hgQnwQInzd7fIDcd9gNW4xjhN6Z1O2xNHYnvTCOmQW10OpkOHuIdZvhncx/p4q/OvOJADAZ7tzsfdstSRxXEpVUzuWHTD0GHjCDvfO/9ZdgyOglMuQVdxg3q7kaHafqcKSPXkAgH/fncSLvdRjBEHAvSN6YeX/jUKYtytyq5ox9f3d+PEo88qu6nZCn5GRgbi4OLz22mt4/fXXUVdXBwD4/vvv8eyzz1o6PiK6BqIoYuPxctz63i78n3GfktpVgd9P7Iudf56AxybE2sV+wNggNQaEeUFrXGFA1yaj0FChZ0JPl/LUDXEQBODX4+XIMq7oIANTM7xbEkPh5yFd0jOxfzBmDo2EKAJ/XJmOhjaNZLH81me7ctGm0SM50gdjYgOkDuea+XooMTkxBACwzLg6w5HUt2rwx5XpAIA5w6OQGh8kcUTkjFIifbDuybEYGxeAVo0OTy9Pw0urs9Cu1Ukdms3rdkK/cOFCzJs3D9nZ2XB1PdfV9eabb8aOHTssGhwRXR1RFLHlZDluf383FvzvEI6XNsBTpcCT18di15+ux1MT4+BlZ/uTTHv5VqeVSByJ/TMtuU+K8JE2ELJZccFq8+/c26zSm9W3arAm3fA3aI4NLL1+4db+iPJzR3FdK15Zc0zqcAAAdS0d+J+x0vvEhFi7XKVyMbONc+jXpJeg0YYunljCK2uOobS+Db393fH8Lf2kDoecmJ+HEkvmDcOTNxj6bvxvbz5mfLQPJcYJTHRx3U7oDx48iIcffviC+8PDw1FWVmaRoIjo6oiiiG2nKjD1v3vwwJJDyCiqh7tSjkdT+2DnnyZg4Y3x8Ha3r0Te5DZjcnEgt4Z/2K9BVVM7iutaIQhwmpnKdHWevCEOMgHYdKIcmUWs0gPAD0eK0KbRIz5YjSG9fKUOB54qw/5TmQB8f6QYv2RKv4JpyZ48NHfokBCixg39HKfSOyzaD7FBnmjp0DnUheWfM0vxw9FiyATgjekpNr39jpyDXCZg4e/64ov7h8LbzQVphXW45d2d2JldKXVoNqvbCb1KpUJDQ8MF958+fRqBgYEWCYqIukcURew4XYk7P9iD+784iPTCOri6yPDQuBjs/NME/OmmBPhKuDTUEsJ83DCst6Gx0roMx/kw1dNMiVmfQE+72G5B0ukT6InbUwxNKN/edFriaKQniqK5Gd6cEVE2U3m+rrcf/m98HwDAcz9koqKhTbJYmtq1+GJ3HgDD3Hlb+RlZgiAImGWs0i/bXwBRvPhISntS0dCG53/IBAA8ktrHJi5SEZlMSAjCuifGYGC4F2pbNJj7+QEs3pINvd7+f/csrdsJ/ZQpU/C3v/0NGo1huZEgCCgoKMCf//xn3HXXXRYP0GTRokUYOnQo1Go1goKCMHXqVJw6deqyz1myZAkEQeh0O3+bAJG9E0URu89UYdqHezH38wM4WlAHlUKG+WOisfNP1+O5m/vZ7Hisq2FqjudI1ZGelm5s6MT989QVT1wfC5kAbD5ZgbTCOqnDkdSB3BpkVzTBXSnHHTY2bePpiX3RP9TwoffP32VIlmx+vS8f9a0axAR6YPLAUElisKa7BodDqZDheGkD0u181YooivjzdxmobdFgQJgXnrqhr9QhEV0g0s8dq/5vFGYNM/QLef3X05j/v0Oob3GsbS/XqtsJ/RtvvIGmpiYEBQWhtbUV48ePR2xsLNRqNf75z39aI0YAwPbt2/HYY49h37592LhxIzQaDW688UY0Nzdf9nleXl4oLS013/Lz860WI1FP2nu2GjM+2oc5n+7HofxaKBUyPDA6Gjv/PAEv3NofgWrHSeRNbk4MhUIm4FhJg3nsHnWPqUKfxOX21AUxgZ7mUZHOXqU3VedvTwmzuRnJSoUMb81IgVIuw9ZTlVh2oOcbt7V26PDpzhwAwGOpsZD38Di/nuDjrjRPgFi2374/T35zoBBbT1We+29H0e2UgKhHuLrIsejOJPz77iSoFDJsOVmBW97byYat5+n2ektvb29s3LgRu3fvRnp6OpqamjB48GBMnDjRGvGZrV+/vtPXS5YsQVBQEA4fPoxx48Zd8nmCICAkJMSqsRH1pP051Xhr02nsyzGMjFTKZZg9PAqPpPZBsJdjr0Dx81BibFwAtp6qxJr0Eiz8HSsK3SGKormqlBTpI20wZDeevD4Oq9NKsO1UJY4U1GJwlPMty61qascvxgkbs4f1kjiai4sPUeNPN8XjHz+dwD/WncDoPgHoHeDRY+f/9mABqpo6EOnnZl5N5YhmD4/CD0eLsTa9FC/c2t/uGswCQH51M/7x03EAwDM3xqNvMOd9k+2bfl0kBoR54ZGvj6CgpgV3frAHf799AGYMlb5BqdS6dTlOo9FAoVAgKysLo0ePxqOPPoo//elPVk/mL6a+3vCh1M/P77LHNTU1oVevXoiMjMTtt9+OY8cu3wW2vb0dDQ0NnW5EtuBgXg1mf7IPMz7eh305NVDKZbh3RC9s/1MqXpkywOGTeRPTnt616SUOsYexJ207XYmqpnZ4qhToH+oldThkJ3oHeJiXmDtrx/tVh4ug0YlIjvBGog1vV3lgdDRGxPihVaPDwhVp0Or0PXLedq0OH203VOcfGR8LF7njVnuv6+WLuCBPtGp0WG2Hc7J1ehF/WJGOlg4dhkf74cEx0VKHRNRlA8K8sfaJMZjYLwgdWj3+/F0m/rQqHW0a5x5t162/uC4uLoiKioJOJ+0PTa/X4+mnn8bo0aMxcODASx4XHx+Pzz//HKtXr8bXX38NvV6PUaNGoaio6JLPWbRoEby9vc23yMhIa3wLRF12OL8W9362H9M+3Is9Z6vhIhcwZ3gUtj2Tir9PHYhQbzepQ+xRv+sfDFcXGXKrms3j16hrPtuZCwCYOTQSri5yiaMhe/LE9YYl1DtOV+Jwfq3U4fQovV40zx6fM8I2q/MmMpmA16clQ61S4EhBHT7cfrZHzvvd4WKUNbQhxMsVdw2xrf4CliYIAmYbRxYutcPmeB/tOItD+bXwVCnwxvRkyBxwawQ5Nm83F3x873V4ZlI8ZAKw4lAR7vzvHhRUt0gdmmS6fQn1+eefx3PPPYeamhprxNMljz32GLKysvDtt99e9riRI0di7ty5SElJwfjx4/H9998jMDAQH3300SWf8+yzz6K+vt58KywstHT4RF2SVliH+z4/gLs+2IOd2VVQyATMGhaJrX9MxT/vSESYj3Ml8iYeKgUm9gsGAKxhc7wuO1HagF1nqiATgPtH95Y6HLIzvfw9cPfgCADOt5d+55kqFNS0QO2qwG1Jtr+UPMLXHa9MGQDAsKLC2vtMNTo9/rvtDADg4fExUCkc/2LhnYMioFLIcLKsEUftqFnk8ZIGvLXR8Pv78m39EeHrLnFERFdHJhPw2IRYfPXgcPh7KHG8tAG3vrcTm46XSx2aJLqd0C9evBg7duxAWFgY4uPjMXjw4E43a3v88cexbt06bN26FREREd16rouLCwYNGoQzZ85c8hiVSgUvL69ON6KelFFUh3lfHMDU93dj++lKyGUCZlxnSOQX3ZnEN2AAU4wz6ddmlEDH8SVd8tkuQ3V+cmIo/xuiq/L49bFQyATszK7CoTzpLur3tKX7DM3P7hocATelfSSrdw4Ox+SBIdDqRTy9PM2qy1HXpJWgqLYV/h5KzHSSvaze7i64JcnQHO+b/T3fgPBqtGsN2zA0OhG/6x+Mu4d07zM0kS0aHRuAdU+OweAoHzS0aTH/f4fwnw0nne6zYbeb4k2dOtUKYVyZKIp44okn8MMPP2Dbtm2Iju7+nh+dTofMzEzcfPPNVoiQ6NpkFdfj7U2nselEBQBALhNwx6BwPHF9LHr591xjI3swPj4QXq4KlDe0Y39uNUb1CZA6JJtW0dCG1WmGvZ7zuV+SrlKknzumXReBbw4U4q1Np7F0/gipQ7K60vpWbD5p+Js8Z7j9JKuCIOCfdyTiYF4tzlQ04d/rT+Gl2/pb/Dw6vYj3jdX5+WNj7OaChyXMGR6F748UY21GCV64tT+83Wy7Od6bv57GybJGBHgqsejORAgCl9qTYwj1dsO3D43Eqz+fwJI9eXh/61mkFdbh3ZmDHGp08+V0O6F/+eWXrRHHFT322GNYtmwZVq9eDbVajbKyMgCGrvtuboalx3PnzkV4eDgWLVoEAPjb3/6GESNGIDY2FnV1dfjPf/6D/Px8zJ8/X5LvgehijpXU4+1N2dhoXCYkE4Cpg8Lx5PVxPdqh2J6oFHJMHhiK5YcKsTa9hAn9FXy1Lx8anYghvXwxyAk7lJPlPDYhFqsOF2H3mWrsz6nG8Bh/qUOyqm8PFEKnFzEs2g9xdtYJ3M9DiX/fnYgHlhzC57tzcUO/IIyOtezfyvVZZcipbIa3mwvuGWE/FzwsYXCUL+KD1ThV3ogfjxbjvlG9pQ7pkg7k1uBj40jBV+9IRICTJDnkPJQKGV6ZMgCDonzwl+8ysftMNW59bxfenzPYKSaz2E0b0g8++AD19fVITU1FaGio+bZ8+XLzMQUFBSgtLTV/XVtbiwULFqBfv364+eab0dDQgD179qB/f8tfpSbqrpNlDfi/rw7jlnd3YePxcggCMDUlDBsXjseb01OYzF/B7caxSD9nlqFD2zOdnO1Ra4cOXxuXDLM6T9cqwtcd064zNIt9y8H30mt1enx70LCc+h4bb4Z3KdcnBJsbuP1xZTrqWzUWe21RFPHeFsPUg3mje0Nth+PbroUgGPraAMAyG26O19SuxR9WpkEUgWlDInDjAI5yJsd1e0o4Vj8+GjGBHiitb8OMj/biyz15Nvv7aSl2k9CLonjR2/33328+Ztu2bViyZIn567feegv5+flob29HWVkZfvrpJwwaNKjngyc6z+nyRjy29Ahuensn1h8rgyAAtyWHYePvx+HtmYPQJ9BT6hDtwvAYfwSpVahv1WDH6Uqpw7FZ3x8tQm2LBpF+bvwgRxbx2IRYuMgF7Mupwd6z1VKHYzWbT1agvKEd/h5KTBoQLHU4V+35m/uhl787Suvb8Mqay4/u7Y7NJypwsqwRnioF7rfh6rQ13TE4Aq4uMpwqb8SRgjqpw7mov689jsKaVkT4ulll2wWRrekbrMaax8fglsRQaHQiXl5zDE99m4bmdq3UoVmN3ST0RPbuTEUjnvjmKCa9vQM/ZRpWktySGIoNT4/De7MGITbIvpZzSk0uE3CrseP06nR2u78YvV40N8N7YHQ05BxPRBYQ7uOGGUPPVekdtfKx1NjsbNp1kXbdud1DpcCb01MgE4Afjhbjp4zSKz/pCkRRxHtbDXvn7x3ZCz7uymt+TXvk7eZifh9aZoPN8TYeL8fyQ4UQBBjGGTrZKgpyXp4qBRbPHoQXb+0PhUzAmvQSTH1/N85UNEkdmlUwoSeysrOVTXjq26P43Vs7sDa9BKIITB4YgvVPj8X7cwajr53ty7QlpmX3m46XO/SV16u19VQFciqboXZVmJdJE1nCYxNioZTLcCDXMav0BdUt2HG6EoIAzB5m/3vDh/TyxaOpsQCA53/MRHlD2zW93q4zVUgvrIOriwwPOvlWHtOWhnUZJahvsdyWhmtV3dSOZ7/PAGDYbjXCwftdEP2WIAh4cEw0vnloBILUKmRXNOH2xbvwc+a1X9S0NUzoiawkt6oZC5en4XdvbsfqNEMif2P/YPz85Fh8cM8QJIRwJOK1SorwRi9/d7RqdNh0wjlnj17OpzsN1fnZw6Lgqep2D1SiSwr1dsPMYY5bpV96wNB3YlxcIKL8HWPM45M3xGFguBfqWjR4ZlXGNf2bvbfFUJ2fPayX0zdYGxTpg4QQNdq1enx/tEjqcAAYVlA890Mmqpo6EB+sxh9ujJc6JCLJDO3th3VPjsGIGD80d+jw6NIj+Me649DoHKf/Upc+4S1cuLDLL/jmm29edTBEjiC/uhnvbj6DH9OKzXMwJ/YLxtMT4zAw3Fvi6ByLIAi4PTkM7245g9VpJbg9JVzqkGxGVnE99uZUQy4TbLr7MtmvR1Nj8e3BQhzMq8XuM9UYE+cY0ybatTqsPGRIzOxpVN2VKBUyvDU9Bbe8tws7Tlfi6/0FuPcqmv3tz6nGgdwaKOUyPDQuxgqR2hdBEDB7eBReWn0My/YX4P5RvSUfCffdkWJsOFYOF7mAN2ckw9XFfreMEFlCkNoVXz84HK//ehofbj+LT3florC2BR/de53UoVlElxL6o0ePdunFpP4DRiSlwpoWvLclG98dOZfIX58QhKcnxiEpwkfa4BzYlBRDQr/jdCVqmzvg6+Gcezl/63Pj3vlbEkMR5uMmcTTkiEK8XTF7WBSW7MnDW5tOY3Ssv0N8DlifVYaa5g6EeLni+oQgqcOxqLhgNf58UwL+vu44Xv3pBEb38UdMNxuxLjbunb/7ugiEeLtaI0y7M3VQOBb9fBLZFU04nF+L63r7SRZLUW0L/mpsfvj0xL4YEMZCAhEAKOQy/GVyAgZF+eBPqzJw74jeUodkMV1K6Ldu3WrtOIjsVlFtCxZvOYNVh4ugNSbyqfGBeHpiX6RE+kgbnBOIDVKjf6gXjpc24OesUswZbp/jpSyprL4Na4yNAuePde79rWRdj6b2wTcHCnA4vxY7s6swrm+g1CFdM1MzvJnDIqGQO97OxHmjemPziXLsOVuN369Ix3f/N7LL32d6YR12ZldBLhPwyPg+Vo7Ufni5uuC25FCsOFSEZfsLJEvo9XoRz6zMQGO7FoOjfPAwV1AQXWDSgBCM7OMPLwdqEul471REPaS4rhXP/ZCJCa9vw7cHC6HVixgbF4DvHx2FJfOGMZnvQVOMzfHWpLHbPQD8b28etHoRw3r7cXUIWVWQl6v5Ipoj7KU/Xd6IA7k1kMsEzBzqOMvtzyeTCcaO5wqkF9bhv9vOdvm5pur81JRwRPo5Rm8BS5lt/D1Yl1mKupYOSWL4fHcu9uZUw10px5vTUxzyghSRJThSMg90sUL/W4cOHcKKFStQUFCAjo7Of7S+//57iwRGZKtK61vx361n8e3BAmh0hg+vY2ID8PvfxWFIL+mW2Tmz25LD8K9fTuJAXg1K61sR6u28S8xbOrTmCuODrM5TD/i/1BgsO5CPowV12Ha6EhPi7XeZumn02MR+QQ69nDzMxw1/v30gnl6ehnc2ZyM1PvCKF/9OlDZg4/FyCALw6ARW538rOcIb/UK9cKK0Ad8dKe7x7v/Z5Y3494ZTAIDnb+mH3gEePXp+IpJOty/dffvttxg1ahROnDiBH374ARqNBseOHcOWLVvg7c19OuS4Khra8PLqLIz/9zZ8tS8fGp2IkTH+WPHwSHw9fziTeQmF+7hhWG8/iCKwLt3xxpF0x3eHi1DfqkEvf3dM7BcsdTjkBILUrrjHWJ18e6P9VulbOrT47oipGZ7jb925PSUMtySGQqcX8fvlaWjt0F32+PeN1flbEkPRp5v77p2BqTkeAHxzoKBHfw86tHr8fkUaOrR6pMYHOsSoRSLqum4n9K+++ireeustrF27FkqlEu+88w5OnjyJ6dOnIyqKf0DIMen0ImZ+vA9f7s1Hh06PYdF++GbBCHzz0AgMi2YibwtuMy67X51eLHEk0tHrRXxmbIb34JhoyGX236CM7MPD4/vA1UWG9KJ6bD1VIXU4V2Vdeika27SI8nPHmFjH6Nh/OYIg4B9TByJIrcLZyma8tv7kJY89W9mEn4yzmx+bENtTIdqdqSlhcFfKcaaiCQfzanvsvO9tyUZWcQN83F3w77uSHKI5JRF1XbcT+rNnz+KWW24BACiVSjQ3N0MQBPz+97/Hxx9/bPEAiWzBidIG5FQ1w0Mpx7L5w7H8oREY2cdf6rDoPLckhkIhE5BV3ICzlU1ShyOJzScrkFfdAm83F9w9JELqcMiJBKpVmDuyNwDg7U3ZdlmlX7rfMHt+9vAoyJzkYpivhxL/vjsJALBkTx52Zlde9Lj/bj0LUQR+1z8Y/UK9ejJEu6J2dcGUZMPF5WXG/56s7UhBrXn1xD+nJiLIy3G3ihDRxXU7off19UVjYyMAIDw8HFlZWQCAuro6tLS0WDY6IhuxP7cGADA02g+jYgN49dsG+XkozXOwnbU53ic7cwAYEhJ35VW1SCG6ag+Pi4G7Uo6MonpsPmFfVfrMonqkF9VDKZdhmpNdDEuND8I9IwwrLJ9ZmYH6Fk2nxwtrWvBjmmHl0+Oszl/RLONy95+zylDbbN3meC0dWvxhRTr0onELRVKoVc9HRLap2wn9uHHjsHHjRgDAtGnT8NRTT2HBggWYNWsWbrjhBosHSGQLDuRWAwCGR7Mqb8tuN3W7Ty+xywrhtcgoqsOB3BooZALuM1ZKiXqSv+d5VfrN9rWX3lSdn5wYAn9PlcTR9Lznbu6H6AAPlDW04cXVWZ0e+2D7WeiMU1ySOb3lipIivDEgzAsdWr25J4O1LPr5JHKrmhHi5Yq/TRlo1XMRke3qckJvqsQvXrwYM2fOBAA8//zzWLhwIcrLy3HXXXfhs88+s06URBLS60UcMFbouV/etv2ufwhUChlyq5qRVdwgdTg9yrR3/rbkMIfuzk227aFxMfBQypFVbOiIbg8a2jRYbVzV4wzN8C7GXanAm9OTIZcJWJNegjXphp9HWX0bVh0yJKVPXB8nZYh24/zmeMus2Bxv++lKfLXPcCHq9WnJ8HZ3rDFcRNR1XU7ok5KSMHz4cHz33XdQq9WGJ8tk+Mtf/oI1a9bgjTfegK+vr9UCJZJKdkUTals0cHORIzGckxxsmadKgYn9DZ3dV6c5T3O8krpW/JRhaFjV06OSiM7n56HEfaN6AwDe2pQNvd72q/Q/Hi1Gq0aHuCBPDO3tvJ9jBkX5mhvevfBDJsrq2/DxjhxzI1he0O6621PC4aGUI6ey2bxlz5LqWjrwp1XpAID7R/U2bzcjIufU5YR++/btGDBgAP7whz8gNDQU9913H3bu3GnN2Ihsgmm5/eBePlAqur1LhXrY7caGRGszSqCzg2TCEr7cmwetXsSIGD8M5EUnktiCsTHwVClworQBvx4vkzqcyxJFEV8bq5xzhkc5fX+UJ66PRVKENxratHjym6NYdiDffD91nadKgSkp4QCAZfsLLP76L64+hvKGdsQEeuDPNyVY/PWJyL50OTsZO3YsPv/8c5SWluK9995DXl4exo8fj759++K1115DWZltv2kTXa19xqvr3D9vH8bHB8LLVYHyhnbzVglH1tyuNX9gnD8mRuJoiAyd0+83VunftvEq/aH8Wpwub4Kbixx3OlkzvItxkcvw5vQUqBQyHMirQZtGj+RIH6cY42dpplnw67PKUGPB5nhr0kuwNr0EcpmAt6anwE0pt9hrE5F96na50cPDA/PmzcP27dtx+vRpTJs2De+//z6ioqIwZcoUa8RIJBlRPLd/fjiXG9oFlUKOyQMNnX7XOMFM+pWHCtHYpkVMgAeuTwiSOhwiAMD8sdFQqxQ4WdaI9cds94L/UmN1fkpyGLxcuQcZAGKDPPHs5HNV3ycmxDr9yoWrkRjhjcRwb3To9PjusGWa45XVt+HFHw09rR6fEMsmhUQE4CoS+vPFxsbiueeewwsvvAC1Wo2ffvrJUnER2YTcqmZUNrZDqZDxjdOOTDF2u/85swwdWr3E0ViPTi/i8915AIAHxkQ7zexssn0+7krMG90bAPCOjVbpa5o78HOm4WLDHOPYNjKYO7I35o+Jxv2jeuOGfrxQeLVMzfG+sUBzPFEU8afvMlDfqkFShDce5zYIIjK66oR+x44duP/++xESEoJnnnkGd955J3bv3m3J2IgkZ6rOp0T6wNWFy9rsxYgYfwSqVahv1WDH6Uqpw7GajcfLUVDTAh93F9w1mMuFybY8OCYGalcFTpU34uesUqnDucDKQ4Xo0OmRGO6NpAgfqcOxKTKZgBdu7Y9Xpgxgdf4aTEkOMzTHq2rG3pzqa3qtr/flY8fpSqgUhm0RLnL29CEig279NSgpKcGrr76Kvn37IjU1FWfOnMG7776LkpISfPLJJxgxYoS14iSSxH4ut7dLcpmAW5NMy+5LJI7Gej7blQMAuGd4L+6jJJvj7e5inrrwzqZsm2pSqdeLWHbA0HviHlbnyUo8VArcPujam+PlVjXjnz+fAAD8ZXICYoM8LRIfETmGLif0kydPRq9evfDee+/hjjvuwIkTJ7Br1y7MmzcPHh4e1oyRSDIH2BDPbt1u7DC88Xg5Wjq0EkdjeWmFdTiYVwsXuYC5I51zdjbZvgfGRMPLVYHsiib8lGk7VfrdZ6uQX90CtUqB24yTMYiswdQcb8OxMlQ3tXf7+VqdHr9fnoY2jR6jY/1x38jeFo6QiOxdlxN6FxcXrFq1CkVFRXjttdcQHx9vzbiIJFdY04LiulYoZAIG9/KROhzqpuQIb/Tyd0erRoeNx8ulDsfiPt1pqM5PSQ5HkJerxNEQXZyXqwvmjzVMX3hn02mbqdIv3Weolt45OBzuSoXE0ZAjGxjujeQIb2h0IlZdRXO8D7adRVphHdSuCvzn7mT2SiGiC3Q5oV+zZg1uv/12yOVc1knOwVSdT4zw5gc+OyQIAqYYK29r0hxr2X1RbQt+yTI08zItaSayVfNG94a3mwvOVjZjXYb0v4vlDW3YeMJwkW/2cK5uIes7vzledxpEZhXX453N2QCAv90+AGE+blaJj4jsGztqEF3C/lxDA5th3D9vt243drvffroStRacAyy1L/fkQacXMTrWH/3DvKQOh+iy1K4uWDD23F56rU7ayRPfHiiETi9iaG9fxIeoJY2FnMOtSWHwVCmQV93S5eZ4bRodfr88DVq9iJsTQzDVuI2MiOi3mNATXYKpQj+C++ftVmyQGv1CvaDVi+aKtr1rbNPg2wOFAID5Y2Ikjoaoa+4b1Rs+7i7IqWqWtFGlVqfHtwdNzfBYnaee4aFSYOogwwXmrjbH+8+GU8iuaEKApwr/mJrIaQNEdElM6IkuoryhDXnVLZAJwJDevlKHQ9fAVKVfnVYscSSWseJQERrbtegT6IHxfQOlDoeoSwxVesMFqHc3S1el33qqEqX1bfDzUOKmgSGSxEDOafYwwwWkDcfKUNl4+eZ4e85W4bNduQCAf9+dCD8PpdXjIyL7xYSe6CJM4+r6h3nBy9VF4mjoWpg6WB/Iq0FpfavE0VwbrU6PL3YbPuTNHxvD5khkV+4b1Ru+7i7Iq27BjxL1tVi6Px8AMG1IBFQK9gSintM/zAspkT7Q6i/fHK+hTYNnVmYAAGYNi8L1CcE9FSIR2Skm9EQXsd+4x21Yby63t3fhPm4Y2tsXogisS7edsVlX49fj5SiqbYWfhxJ3DOJ+SrIvnioFHh7fBwDw3paer9IX1rRg++lKAIZEiaindaU53l/XHEdxXSui/Nzxwi39ejI8IrJTTOiJLsJUoR8ew4Z4jmCKsZmQlHt3LcE0qu6eEb3g6sLqItmfuSN7wd9DifzqFnx/tGe3wSw7UABRBMbGBaB3gEePnpsIAG5NCoVapUBBTQt2n6264PH1WWX47kgRZALw5vRkeKg4YYeIrowJPdFvVDW140xFEwBgaG8m9I7g5oEhkMsEZBbXI6eySepwrsrh/FocKaiDUi7DvWzmRXbKXanAw+MNe+nf25INTQ9V6Tu0eqw4aGgmOYej6kgi7koF7hhsuMD8zYHOzfEqG9vx3A+ZAICHx/fBdfz8QURdxISe6DcOGqvz8cFqNqJxEP6eKoyNCwBgv1X6z3YZqvNTB4UhUK2SOBqiq3fPiF4I8FSisKYV3x+59F5iS9pwrAzVzR0I9lLhhn5BPXJOoosxLbv/9Vg5KhrbAACiKOLZ7zNQ09yBhBA1np4YJ2WIRGRnmNAT/QaX2zumKcbmeGvSSiCKF9+7aKsKa1qw3jh270GOqiM7565U4P/Me+nPoENr/Sr91/sMzfBmDI2Ci5wffUg6CSFeGBxlaI638pDhgtaKQ4XYdKICSrkMb89MYcNGIuoWvqsR/YYpoR8WzYTekdw4IAQqhQw5Vc3IKm6QOpxu+WJ3HvTGvb/xIWqpwyG6ZnOG90KApwpFta2X7fhtCWcqGrE/twYyAZg5NNKq5yLqClNTxm8PFiC/uhl/W3scAPCHG/siIcRLytCIyA4xoSc6T32LBifLDMkeE3rH4qlSYGI/w/ifNen2M5O+oU2D5QcNey3nj2V1nhyDm1KOR1INVfr3t1q3Sr90v+H354Z+wQjzcbPaeYi66takMKhdFSisacWsj/ehuUOHYb39+DeeiK4KE3qi8xzMq4EoAjEBHghSu0odDlnYlBTDsvu16aWXHBlka5YfKERzhw5xQZ4YZ+wDQOQI5gyPQpBaheK6Vqw4VGiVc7R26PCdcQXAnOEcVUe2wU0px12DIwAAJfVt8FDK8cb0ZMhlgsSREZE9YkJPdJ4Dedw/78hS4wOhdlWgrKHN/G9ty7Q6Pb7YnQsAmD82GoLAD3vkOFxd5Hj0vCp9u1Zn8XOsyyhBQ5sWEb5uGBcXaPHXJ7papmX3APDSbf0R6ecuYTREZM+Y0BOdZ39ONQAut3dUKoUckweGAABWp9l+t/tfsspQUt+GAE8lbk8JlzocIoubOSwKIV6uKK1vM4+Vs6SvjcvtZw+PgozVT7Ih8SFqvHxbf/zppnhMv469HYjo6jGhJzJqatciq8Swf354tL/E0ZC1mBLjX7JKe6S79tUSRRGf7jSMqrt3RG+4urDrMTkeVxc5Hp1gqtKfRZvGclX6rOJ6pBfWwUUuMGEimzRvdDQeTY3l6isiuiZM6ImMDufXQqcXEeHrxsZJDmxEjD8C1SrUtWiwM7tS6nAu6XB+LdKL6qFUyHDPCO79Jcc1Y2gkQr1dUdbQhuUWrNKbmuHdNDAUAZ4qi70uERGRLWFCT2R0INew3J7Veccmlwm4NSkUgG0vu//EWJ2/a3A4/JmMkANTKeR4dEIsAOC/285YpErf2KbB6jTDNAs2wyMiIkfGhJ7IaH+OsSEe9887vCnJhm73G4+Xo6VDK3E0F8qvbsavx8sBAA+MjpY4GiLrm35dBMK8XVHe0I5vDhRc8+v9eLQYLR069An04N90IiJyaEzoiQC0aXRIL6oDwA73ziAl0gdRfu5o1eiw0Zg425IvdudBFA1d+eOC1VKHQ2R1KoUcj11vqtJf2156URTNy+3nDO/F/clEROTQmNATAThSUAuNTkSwlwpRHB3j8ARBMFfp16bb1rL7+haNeSb3/DExEkdD1HOmDYlEuI8bKhvb8fW+/Kt+nSMFtThZ1ghXF5l51jcREZGjsruE/v3330fv3r3h6uqK4cOH48CBA5c9fuXKlUhISICrqysSExPx888/91CkZE/OLbf3ZzXHSdyeYkjot5+uRF1Lh8TRnPPNwQK0dOiQEKLG6Fj2cyDnoVTI8ISxSv/h9hy0dlxdlX7pPkN1/rakMHi7u1gsPiIiIltkVwn98uXLsXDhQrz88ss4cuQIkpOTMWnSJFRUVFz0+D179mDWrFl48MEHcfToUUydOhVTp05FVlZWD0dOtu5AriGh5/x55xEXrEa/UC9odCJ+ySqTOhwAgEanx5LdeQCAB8dE8+ISOZ27hkQg0s8NVU1XV6Wvbe7AusxSAMCcEb0sHR4REZHNsauE/s0338SCBQswb9489O/fHx9++CHc3d3x+eefX/T4d955BzfddBOeeeYZ9OvXD3//+98xePBgLF68uIcjJ1vWrtXhSEEtAGAE9887FdOye1M3bKn9nFmKsoY2BKpVmGJcQUDkTFzkMjwxIQ4A8OH2s91uWrnqcBE6tHoMCPNCcoS3NUIkIiKyKXaT0Hd0dODw4cOYOHGi+T6ZTIaJEydi7969F33O3r17Ox0PAJMmTbrk8QDQ3t6OhoaGTjdybJlF9WjX6uHvoUSfQE+pw6EedFuyYXzd/twalNW3SRqLKIrmUXX3jewFlUIuaTxEUrljcDii/NxR3dyBr/Z2vUqv14tYZuyQf88INsMjIiLnYDcJfVVVFXQ6HYKDgzvdHxwcjLKyiy+XLSsr69bxALBo0SJ4e3ubb5GRkdcePNm0/ectt+cHQOcS4euO63r5QhSBdRnSNsc7kFuDrOIGuLrIMHs4lwqT83KRn9tL/9GOHDS3d61KvzenGrlVzfBUKcyrb4iIiByd3ST0PeXZZ59FfX29+VZYWCh1SGRlpoSes4qdk6k53uo0aRP6T3bmAgDuGhwBPw+lpLEQSe2OQeHo7e+OmuYO/K+LVfql+/PNz/VQKawZHhERkc2wm4Q+ICAAcrkc5eWdZ0aXl5cjJCTkos8JCQnp1vEAoFKp4OXl1elGjkur0+NwnqlCz47izujmxFDIZQIyi+uRU9kkSQw5lU3YfNLwt+qBMdGSxEBkSxRyGZ643rCX/uMdZ9F0hSp9RUMbfj1m+B2aPTzK6vERERHZCrtJ6JVKJYYMGYLNmzeb79Pr9di8eTNGjhx50eeMHDmy0/EAsHHjxkseT87nWEkDmjt08HJVICFELXU4JAF/TxXGxAYAANZINJP+i915EEXghoQg9nEgMro9JQzRAR6obdHgyz15lz12+cFCaPUihvTyRb9QXognIiLnYTcJPQAsXLgQn3zyCb788kucOHECjzzyCJqbmzFv3jwAwNy5c/Hss8+aj3/qqaewfv16vPHGGzh58iReeeUVHDp0CI8//rhU3wLZmP251QAM++dlMu6fd1amZfdr0ksgimKPnruupQMrDxu29jw4ltV5IhOFXIYnbzDspf94Rw4a2zQXPU6nF/GNuRkeq/NERORc7CqhnzFjBl5//XW89NJLSElJQVpaGtavX29ufFdQUIDS0lLz8aNGjcKyZcvw8ccfIzk5GatWrcKPP/6IgQMHSvUtkI05YN4/z+X2zuzGASFQKWTIqWzGsZKenWyxdH8B2jR69A/1wsgY/ndIdL4pyeGICfRAfasGS3bnXfSYbacqUFLfBh93F0weGNqzARIREUnMrhJ6AHj88ceRn5+P9vZ27N+/H8OHDzc/tm3bNixZsqTT8dOmTcOpU6fQ3t6OrKws3HzzzT0cMdkqnV40J/TD2BDPqXmqFJjYz3BhsCdn0ndo9ealxPPHRnPKAtFvyGUCnrrBsJf+k505aLhIlf7rfYZmeNOGRMDVheMeiYjIudhdQk9kKafKGtHQpoWHUo4BYdxz6exuM465WpteCr2+Z5bdr8soQUVjO4K9VLg1iWO2iC7m1qQwxAZ5oqFNiy925XV6rLCmBdtOVwIAxz0SEZFTYkJPTsu0f35Ibz8o5PxVcHap8YFQuypQ1tCGA8bJB9YkiiI+NY6qu29UbygV/G+Q6GLOr9J/uisH9a3nqvTfHiyAKAJjYgMQHeAhVYhERESS4SdIcloHOH+ezuPqIsdNAwwjLXui2/3enGocL22Am4scs4exkRfR5dySGIq+wZ5obNPi812GC2EdWj2WHywCAMzhqDoiInJSTOjJKYmiyISeLnB7SjgA4OfMUnRo9VY912fG6vy06yLg46606rmI7J1MJuCpG/oCAD7flYv6Fg02Hi9HVVM7AtUqTOwfLHGERERE0mBCT07pTEUTqps7oFLIkBThI3U4ZCNG9vFHgKcKdS0a7DpTabXznKlowuaTFRAEYN5ojqoj6orJA0OQEKJGY7sWn+7KMTfDmzk0Ei7cNkVERE6K74DklPYbq/ODo3y5d5nM5DIBtyYZxl6tTrPesvvPdxuq8xP7BXPfL1EXyc7fS78zF3tzqiETgJncskJERE6MmQw5JVNCPzyGy+2ps9tTDN3mNx4vR0uH1uKvX9Pcge8OG/b9zh/D6jxRd0waEIJ+oV5o1egAANcnBCHcx03iqIiIiKTDhJ6cjmH/vKHD/fBof4mjIVuTEumDKD93tHTosOlEhcVff+m+fLRr9UgM98Yw9m8g6haZTMDTE+PMX8/hqDoiInJyTOjJ6eRXt6C8oR1KuQyDonykDodsjCAImGKcSb8mrdiir92u1eHLvYZ9v/PHRkMQBIu+PpEzuLF/MKZfF4GpKWEY1zdQ6nCIiIgkpZA6AKKeZupunxzpDVcXucTRkC2akhKGxVvPYPvpStS1dFisC/2atBJUNbUj1NsVNyeGWuQ1iZyNIAj4993JUodBRERkE1ihJ6ezz7jcnsud6VL6BquREKKGRifil6wyi7ymKIr4zDg/+/5RvdmVm4iIiIiuGT9RktM5N3+e++fp0qakmJbdW6bb/e4z1ThZ1gh3pZxduYmIiIjIIpjQk1MprmtFUW0r5DIBg3v5Sh0O2bDbkgwJ/b7capTVt13z6326KwcAMP26SHi7uVzz6xERERERMaEnp2Lqbj8w3BueKraQoEuL9HPHdb18IYrAuoxrq9Jnlzdi26lKCALwwGiOqiMiIiIiy2BC///t3Xtw1NX9//HX5rKbBHIhF3KBkAutYOWiUBLAatHwFdBvwTHjvVVaxOoXbQU7A/xGi5c/0GqtU8ZSZ4qhfr1VZ1Bs7egXUKgXSCgXEcWUQAgQkoCRXEjMZpM9vz9CFgK5LST57Cf7fMxkZHfP57PvzOHs+uJzzvkgqBQebJ9uz/p59Mw37f7ziwv07WvnZ/0gRaMSoi66LgAAAEAi0CPInFk/T6BHz64fn6rQEIf2HK1V6TcNF3SOb065tW5X2+3v7rmKq/MAAADoOwR6BI3jdU06+E2DHA7ph5kEevQscahLV34vUdKFb473yrYyNbd4NTE9TpPZtwEAAAB9iECPoFF0qO3q/KUpMWxKhl6bN7Ft2v36z8tljPHr2CZPq/53a5kk6Z4fZcnhcPR5fQAAAAheBHoEjfb189x/Hv647rJkucJCdPBEg748VufXset3l6u6oVkj4iI1Z1xKP1UIAACAYEWgR9BoXz8/NZtAj96LjghX3qXDJfm3OZ4xRn/5uG0zvJ9fmamwUD5uAQAA0Lf4P0wEhW8bmlVcVS9JmsL6efhp7sQRkqS/f35MXm/vpt3/a/832n/8lIa6wnTLlPT+LA8AAABBikCPoNB+df77w4cqYajL4mpgNzPGJCnaFaaK2iZtP70XQ0/+8vFBSdKtU9IVE8GeDQAAAOh7BHoEBd/t6phujwsQER6q2afXwK/vxbT74sp6fbz/G4U4pPnTM/u5OgAAAAQrAj2CQmFptSQpJyvB4kpgV3Mvb9vt/p9fVKi5xdtt2/ar83PGpSo9PqrfawMAAEBwItBj0Ktr8uirirbdyXPZ4R4XaFp2ghKHulTT6NEnJSe6bHe8vknrT9+zfsFVWQNVHgAAAIIQgR6D3r8PfStjpMyEKCXHRFhdDmwqLDRE/z0hVZL07u6up92/srVMza1eTRoVp0mjhg1UeQAAAAhCBHoMeoXt6+eZbo+L1D7t/v++qtJ3za3nvd7kadX/biuTJN1zVfaA1gYAAIDgQ6DHoFd4sC3Q5zDdHhfpivQ4pcdHqrG5VRv3VZ33+rqd5TrZ6NHIYZG67gfJFlQIAACAYEKgx6DW4G7R3vJaSexwj4vncDg0d2LbVfr150y793qN1nzSthneL67MUlgoH68AAADoX/wfJwa1nYdPqsVrNCIuUiOHsds4Lt68y0dIkrb857hqGpt9z2/5zwkdONGgaFeYbpmSblV5AAAACCIEegxqvvvPM90efeSS5GiNTYmWp9Xo/b2Vvuf/cvrq/O25ozTUFWZVeQAAAAgiBHoMaqyfR39o3xyvfdr9V8fq9GlJtUJDHLp7eqaFlQEAACCYEOgxaDV5WrX7SI0kKTebHe7Rd34yoS3QbyutVlVdk9Z8UipJun58qkbERVpZGgAAAIIIgR6D1u4jNWpu9Sop2qXMBNbPo++kx0dpcsYwGSO99Emp3v28XJK04EdZFlcGAACAYEKgx6B19vp5h8NhcTUYbOadnnb/4r8OytNqNCVzmC5Pj7O2KAAAAAQVAj0GrcLSaklsiIf+cf34VIWGnPmHogU/yrawGgAAAAQjAj0GpeYWr3aUnZTE+nn0j8ShLl35vURJ0qj4KP3XD5ItrggAAADBhkCPQemL8lo1ebyKH+LU94cPtbocDFL/M2O00mIj9P+uv7TD1XoAAABgIHCzZAxK7dPtp2QOY/08+s3U7AR9tjzP6jIAAAAQpLhCj0HpzIZ4TLcHAAAAMDgR6DHotLR69e9Dbevnc9gQDwAAAMAgRaDHoLOvol6n3C2KjgjTpakxVpcDAAAAAP2CQI9B58z6+Xg2KgMAAAAwaNki0B86dEgLFixQVlaWIiMjNXr0aK1YsULNzc3dHjdjxgw5HI4OP/fdd98AVQ2rFPrWzzPdHgAAAMDgZYtd7r/++mt5vV69+OKL+t73vqe9e/dq4cKFamho0LPPPtvtsQsXLtQTTzzhexwVFdXf5cJCXq/R9kNtgZ718wAAAAAGM1sE+tmzZ2v27Nm+x9nZ2SouLtbq1at7DPRRUVFKSUnp7xIRIP5zvF41jR5FOUM1bkSs1eUAAAAAQL+xxZT7ztTW1io+vucrsK+++qoSExM1btw4LV++XI2NjQNQHaxSeLDt6vzkjGEKD7XtX28AAAAA6JEtrtCfq6SkRKtWrerx6vwdd9yhjIwMpaWlac+ePVq6dKmKi4u1bt26Lo9xu91yu92+x3V1dX1WN/pfEevnAQAAAAQJSwP9smXL9PTTT3fbZt++fRo7dqzvcXl5uWbPnq2bb75ZCxcu7PbYe++91/fn8ePHKzU1VXl5eTpw4IBGjx7d6TErV67U448/7sdvgUBhjPHtcJ+TlWBxNQAAAADQvxzGGGPVm584cULV1dXdtsnOzpbT6ZQkHTt2TDNmzNDUqVO1du1ahYT4N6W6oaFBQ4cO1fvvv69Zs2Z12qazK/Tp6emqra1VTAz3NA9kB06cUt7vt8gZFqIvHrtOrrBQq0sCAAAAAL/V1dUpNja2xxxq6RX6pKQkJSUl9apteXm5rrnmGk2ePFkFBQV+h3lJ2r17tyQpNTW1yzYul0sul8vvc8N67evnr0iPI8wDAAAAGPRssWtYeXm5ZsyYoVGjRunZZ5/ViRMnVFlZqcrKyg5txo4dq6KiIknSgQMH9OSTT2rHjh06dOiQ3n33Xd111126+uqrNWHCBKt+FfSj9un2udlMtwcAAAAw+NliU7wNGzaopKREJSUlGjlyZIfX2lcMeDweFRcX+3axdzqd2rhxo55//nk1NDQoPT1d+fn5euSRRwa8fvQ/Y4zvCv1UNsQDAAAAEAQsXUNvB71duwBrHa5u1NXPfKTwUIf2rJilSCdT7gEAAADYU29zqC2m3AM9aZ9uP2FkHGEeAAAAQFAg0GNQKDx9//kcptsDAAAACBIEegwKRacDfS6BHgAAAECQINDD9ipqv9PhbxsV4pAmZwyzuhwAAAAAGBAEethe+9X5cSNiFR0RbnE1AAAAADAwCPSwvW2nb1eXk8l0ewAAAADBg0AP2ys6vcN9bnaCxZUAAAAAwMAh0MPWTtS7deBEgxwOaUom6+cBAAAABA8CPWxt+6G26fZjkqMVF+W0uBoAAAAAGDgEetha4cHT0+25XR0AAACAIEOgh60Vtt9/nvXzAAAAAIIMgR62VdPYrOKqeknSFHa4BwAAABBkCPSwraLSb2WMNDppiJKiXVaXAwAAAAADikAP2ypiuj0AAACAIEagh2351s+zIR4AAACAIESghy3VN3n05bFaSVIOgR4AAABAECLQw5b+XXZSXiONio9Samyk1eUAAAAAwIAj0MOWiphuDwAAACDIEehhS4UHqyUx3R4AAABA8CLQw3a+a27VnqNt6+enssM9AAAAgCBFoIft7Dx8Ui1eo9TYCI0cxvp5AAAAAMGJQA/bOft2dQ6Hw+JqAAAAAMAaBHrYzpn180y3BwAAABC8CPSwFXdLq3YdqZEk5WazIR4AAACA4EWgh618fqRWzS1eJQ51KTtxiNXlAAAAAIBlCPSwlaLStun2rJ8HAAAAEOwI9LCV9g3xuP88AAAAgGBHoIdteFq92lF2UhLr5wEAAACAQA/b2Fteq8bmVsVFheuS4dFWlwMAAAAAliLQwzbap9tPyYxXSAjr5wEAAAAENwI9bKPodKDPZf08AAAAABDoYQ+tXqPtvkCfYHE1AAAAAGA9Aj1sYV9FnerdLRrqCtMP0mKsLgcAAAAALEeghy20r5//YeYwhbJ+HgAAAAAI9LCHotJqSUy3BwAAAIB2BHoEPK/X+DbEy2FDPAAAAACQRKCHDZScOKWTjR5Fhodq/IhYq8sBAAAAgIBAoEfAKzzYNt1+UkacnGH8lQUAAAAAiUAPGyjkdnUAAAAAcB4CPQKaMcYX6Fk/DwAAAABnEOgR0A5VN+pEvVvO0BBdnh5ndTkAAAAAEDAI9Aho7evnL0+PU0R4qMXVAAAAAEDgINAjoPnWz2cz3R4AAAAAzkagR0ArYkM8AAAAAOiUbQJ9ZmamHA5Hh5+nnnqq22Oampq0aNEiJSQkaOjQocrPz1dVVdUAVYyLdeTbRpXXfKewEIcmZcRZXQ4AAAAABBTbBHpJeuKJJ1RRUeH7efDBB7ttv3jxYv3973/XW2+9pS1btujYsWO66aabBqhaXKz2q/PjR8YqyhlmcTUAAAAAEFhslZKio6OVkpLSq7a1tbVas2aNXnvtNV177bWSpIKCAl166aXatm2bpk6d2p+log8UlrZtiMft6gAAAADgfLa6Qv/UU08pISFBV1xxhZ555hm1tLR02XbHjh3yeDyaOXOm77mxY8dq1KhR2rp160CUi4vUfoV+KuvnAQAAAOA8trlC/6tf/UqTJk1SfHy8PvvsMy1fvlwVFRV67rnnOm1fWVkpp9OpuLi4Ds8nJyersrKyy/dxu91yu92+x3V1dX1SP/xTVdekQ9WNCnFIkzOHWV0OAAAAAAQcS6/QL1u27LyN7s79+frrryVJS5Ys0YwZMzRhwgTdd999+v3vf69Vq1Z1CN99YeXKlYqNjfX9pKen9+n50Tvtt6v7QVqMYiLCLa4GAAAAAAKPpVfoH374Yc2fP7/bNtnZ2Z0+n5ubq5aWFh06dEhjxow57/WUlBQ1Nzerpqamw1X6qqqqbtfhL1++XEuWLPE9rqurI9RboPDg6fXzmUy3BwAAAIDOWBrok5KSlJSUdEHH7t69WyEhIRo+fHinr0+ePFnh4eHatGmT8vPzJUnFxcU6fPiwpk2b1uV5XS6XXC7XBdWEvuO7/3w2G+IBAAAAQGdssYZ+69atKiws1DXXXKPo6Ght3bpVixcv1k9/+lMNG9a2vrq8vFx5eXl6+eWXlZOTo9jYWC1YsEBLlixRfHy8YmJi9OCDD2ratGnscB/gqk+5tf/4KUnSlEwCPQAAAAB0xhaB3uVy6Y033tBjjz0mt9utrKwsLV68uMPUeI/Ho+LiYjU2Nvqe+8Mf/qCQkBDl5+fL7XZr1qxZ+tOf/mTFrwA/bD/UdnV+THK04oc4La4GAAAAAAKTwxhjrC4ikNXV1Sk2Nla1tbWKiYmxupyg8Ni7X2rtZ4f0s6kZevLGcVaXAwAAAAADqrc51Fb3oUdwYP08AAAAAPSMQI+AUtvo0b7KOklSThaBHgAAAAC6QqBHQPl32bcyRspOHKLh0RFWlwMAAAAAAYtAj4BSyHR7AAAAAOgVAj0CSuHBaklMtwcAAACAnhDoETBOuVu091jb+vncrASLqwEAAACAwEagR8DYUXZSrV6jkcMilRYXaXU5AAAAABDQCPQIGEWlbdPtuToPAAAAAD0j0CNgFB48vSEe6+cBAAAAoEcEegSEJk+rPj9aI4kd7gEAAACgNwj0CAg7D5+Up9UoOcalUfFRVpcDAAAAAAGPQI+AUNR+//msBDkcDourAQAAAIDAR6BHQGhfP8/95wEAAACgdwj0sFxzi1c7D5+UJE1l/TwAAAAA9AqBHpbbc7RG7havEoY4NTppqNXlAAAAAIAtEOhhucLSM9PtWT8PAAAAAL1DoIflzg70AAAAAIDeIdDDUi2tXu04dGaHewAAAABA7xDoYakvj9WpoblVMRFhGpsSbXU5AAAAAGAbBHpYqrC0WlLbdPuQENbPAwAAAEBvEehhqaJSptsDAAAAwIUg0MMyrV7jC/RsiAcAAAAA/iHQwzLFlfWqa2rREGeoLkuLsbocAAAAALAVAj0s075+fnJmvMJC+asIAAAAAP4gRcEyZ9bPM90eAAAAAPxFoIcljDEEegAAAAC4CAR6WOLAiVOqbmiWKyxEE0bGWV0OAAAAANhOmNUFwP5aWr2q+c6jmsZm1TR6dLLRo5ONzappbNbJxrOfP/Pfk40eSdKkUcPkDOPflQAAAADAXwR6+BhjdMrdcl747iyM157+78nGZtU3tVzQ+4U4pJsmjejj3wIAAAAAggOBfpBqbvH6rpC3h/Gzr5ifCeZnhfTvmuVpNRf8njERYYqLcmpYVPg5/3Vq2JBwxUaGt/05yqm4qHAlDHUqyslfQQAAAAC4EKSpQaDJ06p7/vpv1XzXrJMNbYG9obn1gs/nCgvxhe64qPDTf24L6Gee7xjcYyPDufUcAAAAAAwgAv0g4AoL0baD1Wrxdry6HuKQ76p4ewhvD+hnXz0/O7gPi3Iq0hlq0W8CAAAAAOgtAv0g4HA49Pxtl2uIM0yxZwX2mIhwhYQ4rC4PAAAAANAPCPSDxH9PSLO6BAAAAADAAGLRMwAAAAAANkSgBwAAAADAhgj0AAAAAADYEIEeAAAAAAAbItADAAAAAGBDBHoAAAAAAGyIQA8AAAAAgA0R6AEAAAAAsCECPQAAAAAANkSgBwAAAADAhmwR6Ddv3iyHw9Hpz/bt27s8bsaMGee1v++++wawcgAAAAAA+keY1QX0xvTp01VRUdHhuUcffVSbNm3SD3/4w26PXbhwoZ544gnf46ioqH6pEQAAAACAgWSLQO90OpWSkuJ77PF4tH79ej344INyOBzdHhsVFdXhWAAAAAAABgNbTLk/17vvvqvq6mr9/Oc/77Htq6++qsTERI0bN07Lly9XY2Njt+3dbrfq6uo6/AAAAAAAEGhscYX+XGvWrNGsWbM0cuTIbtvdcccdysjIUFpamvbs2aOlS5equLhY69at6/KYlStX6vHHH+/rkgEAAAAA6FMOY4yx6s2XLVump59+uts2+/bt09ixY32Pjx49qoyMDL355pvKz8/36/0+/PBD5eXlqaSkRKNHj+60jdvtltvt9j2uq6tTenq6amtrFRMT49f7AQAAAADgr7q6OsXGxvaYQy29Qv/www9r/vz53bbJzs7u8LigoEAJCQmaO3eu3++Xm5srSd0GepfLJZfL5fe5AQAAAAAYSJYG+qSkJCUlJfW6vTFGBQUFuuuuuxQeHu73++3evVuSlJqa6td7SmItPQAAAABgQLTnz54m1NtqDf2HH36o0tJS3XPPPee9Vl5erry8PL388svKycnRgQMH9Nprr+n6669XQkKC9uzZo8WLF+vqq6/WhAkTev2e9fX1kqT09PQ++z0AAAAAAOhJfX29YmNju3zdVoF+zZo1mj59eoc19e08Ho+Ki4t9u9g7nU5t3LhRzz//vBoaGpSenq78/Hw98sgjfr1nWlqajhw5oujo6B5vkWel9rX+R44cYa2/zdB39kb/2Rd9Z1/0nX3Rd/ZG/9kXfWc/xhjV19crLS2t23aWboqHvtPbTRMQeOg7e6P/7Iu+sy/6zr7oO3uj/+yLvhu8bHkfegAAAAAAgh2BHgAAAAAAGyLQDxIul0srVqzglns2RN/ZG/1nX/SdfdF39kXf2Rv9Z1/03eDFGnoAAAAAAGyIK/QAAAAAANgQgR4AAAAAABsi0AMAAAAAYEMEegAAAAAAbIhAbyMvvPCCMjMzFRERodzcXBUVFXXb/q233tLYsWMVERGh8ePH65///OcAVYp2K1eu1JQpUxQdHa3hw4frxhtvVHFxcbfHrF27Vg6Ho8NPRETEAFWMsz322GPn9cXYsWO7PYZxFxgyMzPP6zuHw6FFixZ12p5xZ51//etf+slPfqK0tDQ5HA698847HV43xui3v/2tUlNTFRkZqZkzZ2r//v09ntff70z4r7u+83g8Wrp0qcaPH68hQ4YoLS1Nd911l44dO9btOS/kcxcXpqexN3/+/PP6Yvbs2T2el7HX/3rqu86+/xwOh5555pkuz8nYsy8CvU387W9/05IlS7RixQrt3LlTEydO1KxZs3T8+PFO23/22We6/fbbtWDBAu3atUs33nijbrzxRu3du3eAKw9uW7Zs0aJFi7Rt2zZt2LBBHo9H1113nRoaGro9LiYmRhUVFb6fsrKyAaoY57rssss69MUnn3zSZVvGXeDYvn17h37bsGGDJOnmm2/u8hjGnTUaGho0ceJEvfDCC52+/rvf/U5//OMf9ec//1mFhYUaMmSIZs2apaampi7P6e93Ji5Md33X2NionTt36tFHH9XOnTu1bt06FRcXa+7cuT2e15/PXVy4nsaeJM2ePbtDX7z++uvdnpOxNzB66ruz+6yiokIvvfSSHA6H8vPzuz0vY8+mDGwhJyfHLFq0yPe4tbXVpKWlmZUrV3ba/pZbbjE33HBDh+dyc3PNL3/5y36tE907fvy4kWS2bNnSZZuCggITGxs7cEWhSytWrDATJ07sdXvGXeD69a9/bUaPHm28Xm+nrzPuAoMk8/bbb/see71ek5KSYp555hnfczU1NcblcpnXX3+9y/P4+52Ji3du33WmqKjISDJlZWVdtvH3cxd9o7P+u/vuu828efP8Og9jb+D1ZuzNmzfPXHvttd22YezZF1fobaC5uVk7duzQzJkzfc+FhIRo5syZ2rp1a6fHbN26tUN7SZo1a1aX7TEwamtrJUnx8fHdtjt16pQyMjKUnp6uefPm6csvvxyI8tCJ/fv3Ky0tTdnZ2brzzjt1+PDhLtsy7gJTc3OzXnnlFf3iF7+Qw+Hosh3jLvCUlpaqsrKyw7iKjY1Vbm5ul+PqQr4zMTBqa2vlcDgUFxfXbTt/PnfRvzZv3qzhw4drzJgxuv/++1VdXd1lW8ZeYKqqqtJ7772nBQsW9NiWsWdPBHob+Oabb9Ta2qrk5OQOzycnJ6uysrLTYyorK/1qj/7n9Xr10EMP6corr9S4ceO6bDdmzBi99NJLWr9+vV555RV5vV5Nnz5dR48eHcBqIUm5ublau3at3n//fa1evVqlpaW66qqrVF9f32l7xl1geuedd1RTU6P58+d32YZxF5jax44/4+pCvjPR/5qamrR06VLdfvvtiomJ6bKdv5+76D+zZ8/Wyy+/rE2bNunpp5/Wli1bNGfOHLW2tnbanrEXmP76178qOjpaN910U7ftGHv2FWZ1AUCwWLRokfbu3dvjeqRp06Zp2rRpvsfTp0/XpZdeqhdffFFPPvlkf5eJs8yZM8f35wkTJig3N1cZGRl68803e/Uv3QgMa9as0Zw5c5SWltZlG8Yd0H88Ho9uueUWGWO0evXqbtvyuRs4brvtNt+fx48frwkTJmj06NHavHmz8vLyLKwM/njppZd055139rjRK2PPvrhCbwOJiYkKDQ1VVVVVh+erqqqUkpLS6TEpKSl+tUf/euCBB/SPf/xDH330kUaOHOnXseHh4briiitUUlLST9Wht+Li4nTJJZd02ReMu8BTVlamjRs36p577vHrOMZdYGgfO/6Mqwv5zkT/aQ/zZWVl2rBhQ7dX5zvT0+cuBk52drYSExO77AvGXuD5+OOPVVxc7Pd3oMTYsxMCvQ04nU5NnjxZmzZt8j3n9Xq1adOmDleUzjZt2rQO7SVpw4YNXbZH/zDG6IEHHtDbb7+tDz/8UFlZWX6fo7W1VV988YVSU1P7oUL449SpUzpw4ECXfcG4CzwFBQUaPny4brjhBr+OY9wFhqysLKWkpHQYV3V1dSosLOxyXF3Idyb6R3uY379/vzZu3KiEhAS/z9HT5y4GztGjR1VdXd1lXzD2As+aNWs0efJkTZw40e9jGXs2YvWufOidN954w7hcLrN27Vrz1VdfmXvvvdfExcWZyspKY4wxP/vZz8yyZct87T/99FMTFhZmnn32WbNv3z6zYsUKEx4ebr744gurfoWgdP/995vY2FizefNmU1FR4ftpbGz0tTm37x5//HHzwQcfmAMHDpgdO3aY2267zURERJgvv/zSil8hqD388MNm8+bNprS01Hz66adm5syZJjEx0Rw/ftwYw7gLdK2trWbUqFFm6dKl573GuAsc9fX1ZteuXWbXrl1GknnuuefMrl27fDuhP/XUUyYuLs6sX7/e7Nmzx8ybN89kZWWZ7777zneOa6+91qxatcr3uKfvTPSN7vquubnZzJ0714wcOdLs3r27w3eg2+32nePcvuvpcxd9p7v+q6+vN7/5zW/M1q1bTWlpqdm4caOZNGmS+f73v2+ampp852DsWaOnz01jjKmtrTVRUVFm9erVnZ6DsTd4EOhtZNWqVWbUqFHG6XSanJwcs23bNt9rP/7xj83dd9/dof2bb75pLrnkEuN0Os1ll11m3nvvvQGuGJI6/SkoKPC1ObfvHnroIV8/Jycnm+uvv97s3Llz4IuHufXWW01qaqpxOp1mxIgR5tZbbzUlJSW+1xl3ge2DDz4wkkxxcfF5rzHuAsdHH33U6edke/94vV7z6KOPmuTkZONyuUxeXt55fZqRkWFWrFjR4bnuvjPRN7rru9LS0i6/Az/66CPfOc7tu54+d9F3uuu/xsZGc91115mkpCQTHh5uMjIyzMKFC88L5ow9a/T0uWmMMS+++KKJjIw0NTU1nZ6DsTd4OIwxpl+nAAAAAAAAgD7HGnoAAAAAAGyIQA8AAAAAgA0R6AEAAAAAsCECPQAAAAAANkSgBwAAAADAhgj0AAAAAADYEIEeAAAAAAAbItADAAAAAGBDBHoAAAAAAGyIQA8AAAAAgA0R6AEAAAAAsCECPQAAAAAANvT/Aenhh0aXe42DAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Evaluation"
      ],
      "metadata": {
        "id": "dmSTcsbt0WBs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "test_env = BlackScholesEnvCont(init_s0, init_K, init_T, r, mu, init_vol, init_n_steps)\n",
        "obs, info = test_env.reset(seed=SEED)\n",
        "\n",
        "pp = pprint.PrettyPrinter(indent=4)\n",
        "log_infos = False\n",
        "\n",
        "rewards = []\n",
        "hedges = []\n",
        "bs_deltas = []\n",
        "hedge_port = []\n",
        "call_price = []\n",
        "\n",
        "for i in range(252):\n",
        "    action, _states = model.predict(obs)\n",
        "\n",
        "    obs, reward, done, _, info = test_env.step(action)\n",
        "\n",
        "    rewards.append(reward)\n",
        "    hedges.append(action)\n",
        "    bs_deltas.append(info['bs_delta'])\n",
        "    hedge_port.append(info['hedge_portfolio_value'])\n",
        "    call_price.append(info['price'])\n",
        "\n",
        "    if log_infos:\n",
        "        print(f'Step: {i}')\n",
        "        print('Action:', action)\n",
        "        print('Observations:')\n",
        "        pp.pprint(obs)\n",
        "        print('Infos')\n",
        "        pp.pprint(info)\n",
        "        print('Reward:', reward)\n",
        "\n",
        "    if done:\n",
        "        obs, info = test_env.reset()"
      ],
      "metadata": {
        "trusted": true,
        "id": "DAoMjSndz5Lq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=(12, 6))\n",
        "\n",
        "plt.plot(np.cumsum(rewards))\n",
        "plt.xlabel('step')\n",
        "plt.ylabel('Cumulative Rewards')\n",
        "plt.show()"
      ],
      "metadata": {
        "trusted": true,
        "id": "j5H8IIhtz5Lr",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "703f4eff-3dc8-4f21-f86b-7905eafee2f2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=(12, 6))\n",
        "\n",
        "plt.plot(rewards)\n",
        "plt.xlabel('step')\n",
        "plt.ylabel('Cumulative Rewards')\n",
        "plt.show()"
      ],
      "metadata": {
        "trusted": true,
        "id": "mdKzRISMz5Ls",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "bbb353ae-1757-422b-8c09-41c07c8dad36"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=(12, 6))\n",
        "\n",
        "plt.plot(-np.array(hedges), label='Actor delta')\n",
        "plt.plot(bs_deltas, label='BS delta')\n",
        "plt.xlabel('Time step')\n",
        "plt.ylabel('Delta')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "trusted": true,
        "id": "cxdp6i3dz5Ls",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "02fe20b1-8ae9-48fa-918e-e0c0d733b38e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=(12, 6))\n",
        "\n",
        "plt.plot(hedge_port, label='Hedge portfolio value')\n",
        "plt.plot(call_price, label='Call price')\n",
        "plt.xlabel('Time step')\n",
        "plt.ylabel('Value')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "CT71dUMq5xgp",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "f60ff19c-2e86-46a5-9faa-ed91c4847276"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}