rl-hedging/hedging-bs-t3d-training-zero.ipynb

{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":12795,"status":"ok","timestamp":1715450256247,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"wU4puw-Bz5Le","outputId":"da7f5cbf-faa2-40ae-a49a-0ec5d27e6223"},"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: stable-baselines3 in /usr/local/lib/python3.10/dist-packages (2.3.2)\n","Requirement already satisfied: gymnasium in /usr/local/lib/python3.10/dist-packages (0.29.1)\n","Requirement already satisfied: JaxFin in /usr/local/lib/python3.10/dist-packages (0.3.3)\n","Requirement already satisfied: scienceplots in /usr/local/lib/python3.10/dist-packages (2.1.1)\n","Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.10/dist-packages (from stable-baselines3) (1.25.2)\n","Requirement already satisfied: torch>=1.13 in /usr/local/lib/python3.10/dist-packages (from stable-baselines3) (2.2.1+cu121)\n","Requirement already satisfied: cloudpickle in /usr/local/lib/python3.10/dist-packages (from stable-baselines3) (2.2.1)\n","Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from stable-baselines3) (2.0.3)\n","Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from stable-baselines3) (3.7.1)\n","Requirement already satisfied: typing-extensions>=4.3.0 in /usr/local/lib/python3.10/dist-packages (from gymnasium) (4.11.0)\n","Requirement already satisfied: farama-notifications>=0.0.1 in /usr/local/lib/python3.10/dist-packages (from gymnasium) (0.0.4)\n","Requirement already satisfied: jax==0.4.23 in /usr/local/lib/python3.10/dist-packages (from JaxFin) (0.4.23)\n","Requirement already satisfied: jaxlib==0.4.23 in /usr/local/lib/python3.10/dist-packages (from JaxFin) (0.4.23)\n","Requirement already satisfied: ml-dtypes>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from jax==0.4.23->JaxFin) (0.2.0)\n","Requirement already satisfied: opt-einsum in /usr/local/lib/python3.10/dist-packages (from jax==0.4.23->JaxFin) (3.3.0)\n","Requirement already satisfied: scipy>=1.9 in /usr/local/lib/python3.10/dist-packages (from jax==0.4.23->JaxFin) (1.11.4)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3) (3.14.0)\n","Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3) (1.12)\n","Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3) (3.3)\n","Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3) (3.1.4)\n","Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3) (2023.6.0)\n","Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3) (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) (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) (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) (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) (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) (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) (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) (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) (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) (2.19.3)\n","Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3) (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) (2.2.0)\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) (12.4.127)\n","Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3) (1.2.1)\n","Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3) (0.12.1)\n","Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3) (4.51.0)\n","Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3) (1.4.5)\n","Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3) (24.0)\n","Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3) (9.4.0)\n","Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3) (3.1.2)\n","Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3) (2.8.2)\n","Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->stable-baselines3) (2023.4)\n","Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas->stable-baselines3) (2024.1)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib->stable-baselines3) (1.16.0)\n","Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.13->stable-baselines3) (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) (1.3.0)\n"]}],"source":["!pip install stable-baselines3 gymnasium JaxFin scienceplots"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":14474,"status":"ok","timestamp":1715450270711,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"0dRqmOTW6nEy","outputId":"2d0f6d81-fb11-4ccd-ea73-73cf632665a7"},"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: sbx-rl in /usr/local/lib/python3.10/dist-packages (0.15.0)\n","Requirement already satisfied: stable-baselines3>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from sbx-rl) (2.3.2)\n","Requirement already satisfied: jax in /usr/local/lib/python3.10/dist-packages (from sbx-rl) (0.4.23)\n","Requirement already satisfied: jaxlib in /usr/local/lib/python3.10/dist-packages (from sbx-rl) (0.4.23)\n","Requirement already satisfied: flax in /usr/local/lib/python3.10/dist-packages (from sbx-rl) (0.8.3)\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from sbx-rl) (4.66.4)\n","Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from sbx-rl) (13.7.1)\n","Requirement already satisfied: tensorflow-probability in /usr/local/lib/python3.10/dist-packages (from sbx-rl) (0.23.0)\n","Requirement already satisfied: optax in /usr/local/lib/python3.10/dist-packages (from sbx-rl) (0.2.2)\n","Requirement already satisfied: gymnasium<0.30,>=0.28.1 in /usr/local/lib/python3.10/dist-packages (from stable-baselines3>=2.3.0->sbx-rl) (0.29.1)\n","Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.10/dist-packages (from stable-baselines3>=2.3.0->sbx-rl) (1.25.2)\n","Requirement already satisfied: torch>=1.13 in /usr/local/lib/python3.10/dist-packages (from stable-baselines3>=2.3.0->sbx-rl) (2.2.1+cu121)\n","Requirement already satisfied: cloudpickle in /usr/local/lib/python3.10/dist-packages (from stable-baselines3>=2.3.0->sbx-rl) (2.2.1)\n","Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from stable-baselines3>=2.3.0->sbx-rl) (2.0.3)\n","Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from stable-baselines3>=2.3.0->sbx-rl) (3.7.1)\n","Requirement already satisfied: msgpack in /usr/local/lib/python3.10/dist-packages (from flax->sbx-rl) (1.0.8)\n","Requirement already satisfied: orbax-checkpoint in /usr/local/lib/python3.10/dist-packages (from flax->sbx-rl) (0.4.4)\n","Requirement already satisfied: tensorstore in /usr/local/lib/python3.10/dist-packages (from flax->sbx-rl) (0.1.45)\n","Requirement already satisfied: typing-extensions>=4.2 in /usr/local/lib/python3.10/dist-packages (from flax->sbx-rl) (4.11.0)\n","Requirement already satisfied: PyYAML>=5.4.1 in /usr/local/lib/python3.10/dist-packages (from flax->sbx-rl) (6.0.1)\n","Requirement already satisfied: ml-dtypes>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from jax->sbx-rl) (0.2.0)\n","Requirement already satisfied: opt-einsum in /usr/local/lib/python3.10/dist-packages (from jax->sbx-rl) (3.3.0)\n","Requirement already satisfied: scipy>=1.9 in /usr/local/lib/python3.10/dist-packages (from jax->sbx-rl) (1.11.4)\n","Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->sbx-rl) (3.0.0)\n","Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->sbx-rl) (2.16.1)\n","Requirement already satisfied: absl-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from optax->sbx-rl) (1.4.0)\n","Requirement already satisfied: chex>=0.1.86 in /usr/local/lib/python3.10/dist-packages (from optax->sbx-rl) (0.1.86)\n","Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-probability->sbx-rl) (1.16.0)\n","Requirement already satisfied: decorator in /usr/local/lib/python3.10/dist-packages (from tensorflow-probability->sbx-rl) (4.4.2)\n","Requirement already satisfied: gast>=0.3.2 in /usr/local/lib/python3.10/dist-packages (from tensorflow-probability->sbx-rl) (0.5.4)\n","Requirement already satisfied: dm-tree in /usr/local/lib/python3.10/dist-packages (from tensorflow-probability->sbx-rl) (0.1.8)\n","Requirement already satisfied: toolz>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from chex>=0.1.86->optax->sbx-rl) (0.12.1)\n","Requirement already satisfied: farama-notifications>=0.0.1 in /usr/local/lib/python3.10/dist-packages (from gymnasium<0.30,>=0.28.1->stable-baselines3>=2.3.0->sbx-rl) (0.0.4)\n","Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->sbx-rl) (0.1.2)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0->sbx-rl) (3.14.0)\n","Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0->sbx-rl) (1.12)\n","Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0->sbx-rl) (3.3)\n","Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0->sbx-rl) (3.1.4)\n","Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0->sbx-rl) (2023.6.0)\n","Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->stable-baselines3>=2.3.0->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>=2.3.0->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>=2.3.0->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>=2.3.0->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>=2.3.0->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>=2.3.0->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>=2.3.0->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>=2.3.0->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>=2.3.0->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>=2.3.0->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>=2.3.0->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>=2.3.0->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>=2.3.0->sbx-rl) (12.4.127)\n","Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0->sbx-rl) (1.2.1)\n","Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0->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>=2.3.0->sbx-rl) (4.51.0)\n","Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0->sbx-rl) (1.4.5)\n","Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0->sbx-rl) (24.0)\n","Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->stable-baselines3>=2.3.0->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>=2.3.0->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>=2.3.0->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>=2.3.0->sbx-rl) (2023.4)\n","Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas->stable-baselines3>=2.3.0->sbx-rl) (2024.1)\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>=2.3.0->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>=2.3.0->sbx-rl) (1.3.0)\n"]}],"source":["!pip install sbx-rl"]},{"cell_type":"code","execution_count":3,"metadata":{"cellView":"form","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":17417,"status":"ok","timestamp":1715450288099,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"smzTly_7z5Li","outputId":"29a7db2c-d5e2-4906-e371-79cd2f5ef144"},"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"]}],"source":["# @title Imports\n","# @markdown Do you want to save the model?\n","from abc import ABCMeta, abstractmethod\n","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","from google.colab import drive\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","import scienceplots\n","\n","import pprint\n","\n","import torch as th\n","\n","SEED: int = 0\n","SAVE: bool = True # @param [\"False\", \"True\"] {type:\"raw\"}\n","\n","plt.style.use(['science','no-latex'])\n","np.random.seed(SEED)"]},{"cell_type":"markdown","metadata":{"id":"itXumkeX0Fpu"},"source":["## BS environment\n"]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":39,"status":"ok","timestamp":1715450288100,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"3y4-ffSEz5Lk","outputId":"fa11daa2-777d-4ed2-8ff0-b04b37916923"},"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"]}],"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 HedgingEnvBase(Env):\n","    metadata = {\"render.modes\": [\"human\"]}\n","    action_space: spaces.Space\n","    observation_space: spaces.Space\n","\n","    __metaclass__ = ABCMeta\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._current_pnl = 0.0\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 = 0.00\n","\n","    def reset(self, seed=None):\n","        super().reset(seed=seed)\n","\n","        self._current_step = 0\n","        self._current_pnl = 0.0\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","        pnl = self._calculate_pnl()\n","        self._current_pnl = 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","        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._get_current_stock_vol(self._current_step),\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","            \"current_pnl\": self._current_pnl,\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","    @abstractmethod\n","    def _get_current_stock_vol(self, step: int) -> float:\n","        raise NotImplementedError(\"Subclasses must implement this method\")\n","\n","    @abstractmethod\n","    def _generate_stock_path(self, seed=None) -> np.ndarray:\n","        raise NotImplementedError(\"Subclasses must implement this method\")\n","\n","    @abstractmethod\n","    def _get_call_prices(self) -> np.ndarray:\n","        raise NotImplementedError(\"Subclasses must implement this method\")\n","\n","    @abstractmethod\n","    def _get_deltas(self) -> np.ndarray:\n","        raise NotImplementedError(\"Subclasses must implement this method\")\n","\n","    def _calculate_hedging_portfolio_value(self, new_delta: float):\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 BlackScholesEnvBase(HedgingEnvBase):\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","        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","\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(self.expiry, self.n_steps, 1))\n","\n","    def _get_current_stock_vol(self, step: int) -> float:\n","        return self.sigma\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","\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))"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2848,"status":"ok","timestamp":1715450290911,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"jWToW1I9z5Lo","outputId":"74ce5b1e-120e-4c10-8156-7b277ee1bbce"},"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"]}],"source":["check_env(BlackScholesEnvCont(100, 100, 1.0, 0.0, 0.0, 0.2, 252))"]},{"cell_type":"markdown","metadata":{"id":"n2N6qZ0V0QAN"},"source":["## T3D"]},{"cell_type":"code","execution_count":6,"metadata":{"executionInfo":{"elapsed":13,"status":"ok","timestamp":1715450290912,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"nO4HIkZojtRz"},"outputs":[],"source":["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(expires, sigmas, n_steps))"]},{"cell_type":"code","execution_count":7,"metadata":{"executionInfo":{"elapsed":12,"status":"ok","timestamp":1715450290912,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"go271hh2mHZr"},"outputs":[],"source":["indexes = choice(np.asarray(range(len(cartesian_product))), 79, replace=False)\n","random_sample = np.asarray(cartesian_product)[indexes]"]},{"cell_type":"code","execution_count":8,"metadata":{"executionInfo":{"elapsed":12,"status":"ok","timestamp":1715450290913,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"qv66MvdIz5Ln"},"outputs":[],"source":["r = 0.0\n","mu = 0.0\n","\n","init_s0 = 100\n","s0 = init_s0\n","init_K = 100\n","init_T = 1.0\n","init_vol = 0.2\n","init_n_steps = 252\n","\n","n_episodes = 100"]},{"cell_type":"code","execution_count":9,"metadata":{"executionInfo":{"elapsed":12,"status":"ok","timestamp":1715450290913,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"DPgr1MG2z5Lo"},"outputs":[],"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, info_keywords=(\"current_pnl\",), filename='./training.log')"]},{"cell_type":"code","execution_count":10,"metadata":{"executionInfo":{"elapsed":11,"status":"ok","timestamp":1715450290913,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"JI2gCMeuz5Lp"},"outputs":[],"source":["initial_env = make_vec_env(init_s0, init_K, init_T, r, mu, init_vol, init_n_steps)"]},{"cell_type":"code","execution_count":11,"metadata":{"executionInfo":{"elapsed":5868,"status":"ok","timestamp":1715450296770,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"JN-V1E9whS8V"},"outputs":[],"source":["learning_rate = 0.0005\n","batch_size = 128\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)"]},{"cell_type":"markdown","metadata":{"id":"imxGot_00TYK"},"source":["## Training"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":50,"referenced_widgets":["804b3038c528499cada05956d1158dcb","0b3df585c98c4cceb3f32de7b8b73125"]},"executionInfo":{"elapsed":67088,"status":"ok","timestamp":1715450363852,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"0UAQkuJMilb9","outputId":"61410b9c-fada-49f2-b185-3ea6ead0082f"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Output()"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"804b3038c528499cada05956d1158dcb"}},"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":"execute_result","data":{"text/plain":["<sbx.td3.td3.TD3 at 0x78922ba3fdc0>"]},"metadata":{},"execution_count":12}],"source":["model.learn(total_timesteps=252*n_episodes, log_interval=10, progress_bar=True)"]},{"cell_type":"code","execution_count":13,"metadata":{"executionInfo":{"elapsed":6415,"status":"ok","timestamp":1715450370236,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"},"user_tz":-120},"id":"Lm3wEGlqnRBa"},"outputs":[],"source":["training_rewards = [evaluate_policy(model, initial_env, n_eval_episodes=10)[0]]"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["840356fb5e38496598a61ee36706a752","ff62728183f8438facfd7447e977d383","3c59dc01b63548c4ab1c411c21c205a5","d186142af1c54c86ac959418efe424a9","c3d26ac08fbd4793916d8f0b90f8f958","b96e444b6b08496391e765c2e53c2b04","f3cb005f646b44288dbfa95da56260c1","0942dba471c042a5b92f62ba0635962f","969599bff45046e9b692cedfbe87ad87","afe5aabe44e1424fb0fa2f04d9e0a2e6","be36c8aac7d7436ebe403edcc70009ae","d7e0aa86cc8e4855b0c06d7605b67405","fba18ac281ff47588497cc69a2995012","96f603dc04614e3084d3d8c83ea7dac5","a2005033ec004a5a8e07dfe10838dae3","4e1fd1b9664b402f87b1166910aba08e","6ff6a2a87deb455a9c88470f85945653","63d0fc9f6e274400bd63c198b4dcf8ec","722678d47cae487bab56e9fa70a1e531","3d3799ffcb58422d91ee1c81c34558d1","9639accdd04740afa638b2e9402a60c1","96335b6872ec4aba9bb5d83af1c31caa","d0ee7cbde57047a7bd40b6f69a281b60","00348c576d244b1787b1824f29a45ded","2f6f6fb7f05342b18aa50b26dd2a0cf3","0ca0cfd8d9454fcd869b9c4b21c36704","c2cc29d542e64a7a87b64f2fa608be95","309beaf759464f6fa71096b3eeb006c8","2e68427d2042484e8e7e02175f47d022","771fe0dd11ab4eb596ea2ee24ae06127","cdff35cd9ad74eb6837f040ff4ce669d","f5e7b89428e44b3292d9be174b9ed89b","adf4a2a1191a4bffa0772f44a4a366ea","60b52ac07ab8482383289807d67c4a07","4f8816a5ce0444449ec233c632908637","bb890a3ac36e40fca24eb8a9e626ba83","9a8c64c4e67d4db09f1804f07e653bdd","0385ffa0b31841b282d7928f29cb3cf9","0ee0e00a286249f9a120445654852579","50590adb1b3f4a7b9f2fd4ad531d12da","2068aab414474373ad53c3d9cf3ca43e","2bd53b1f82a5410d9df71e4e1ab725b3","bd0538c411904cc7b598478e3fc57ced","854005628602403e92eaad86b14e1904","c923bf3ea4c644a1ab77ded2749084e4","63c8c75484db4ccc9d6edfe3b9e93c4d","3681f489896c4e30a57f610fd386bc66","78a205f26945430dabdf5affaaec564d","0e7df54e67114345899ee079c22cca0b","08265ddef8394908bba314eb61fdbcfb","5c11673de97b4300a79dac32683584c4","80c0845f59d743d3a35b280111946931","12a42846b6cb4a08ae38ae15eee95ad2","15fdbea4b40c48429878d24b1e609564","47d7f580fb114bc58eff7dc4fbbeb996","b02dd457b62a4acd8a623752fc4b271a","434af01d668c4233af244a7b9409aab5","524287ba9e8b47818bb1c8bc719d585d","358926bdfcd241a2ba29d47ecdbe5ed8","f6c0ccfe13f34f56a4da70bdaee83f66","f36a7d62392d44c485176bea49cd8326","7bd2eb3fb65e42cbbe0d232fedb425a9","c09b96e596c942d992546cff9da69fcf","d95e2e368f0e48cdb7fc4a0e65ef08ad","74bf22503ce24ec59fc093a8523da29c","d476021a5fdd4fb9847ef0377b223cef","a123f6866a14437089049661e320da18","ea99d1056864414eaba8dbdadcc65799","ee5e4dfb87b74c80890487877d395e57","74ca1fda146c470988d0c2ddfcc93ff9","4f2b30f3d3004ad5b2d564b3e9d7f2e6","75ce156e83714fc0a47e330a5dce1939","63c69bef55cc4ebbb46229a5c9b9124a","2862f2cf74354f3c9dccea12ecb8abd2","5a46d0daff7e44b59470986d1ab9712a","e6aacb3af9c84359b1e3c2a9101891d2","da0bb4434885445491aa5d12bd76c4fe","fbdb365463f3487e8b03763ce8fe6235","16244366b8d546fab8814f4a76a8af21","c483f9c897274c6485ae67a006921941","f7be72752f1840508c0c91e29bd265b1","184fac54e0484b1ba8d275f962ebe190","0f4c457332814286b5316bf2f9cbee7a","d6887cb93dd84d4885fdd6b166ea568e","1e20b0676cac447e8138695f2607e653","264d0a267fff40a0a113ec246f6e5a70","3b3bda655c6f4798b4c670d5e5603a36","579584bcfcc84c21a8cb024f0089f753","1a3f51ae89314956a9d62379eb9e1ccb","50819277916546dd90ea04bd99d2922b","2e88162058f14db7b43efb55b3552b8e","7648f49a686442e087c8905bdbe01033","bdc85b5a88274160b25c146467a772fd","ee401e0fcf9d4d76bcc5aa20d114bfb8","6ba12c1f12ff42cea74955989f1f3a1e","d17067d4083547538e0a4e220cf9c365","dbee6e004be54108a46ebcdddbbfb401","b4aed83779d04570a7a442780a21e57c","ead6d9e357b64296a9de6fee581b9d84","998575312b47496888d96b1207d7e69d","768a61cc3bb84dc88b456a900e4db6f3","ea71f1b03041481eae3cd2f1a5dbb5d9","83ce2974f9b04220ba8f731c4bce6bd8","1813a3e611f64fe480cb609d6572feb5","26c90a13f9944fe684646d2625186cb9","63dd182ba36c488b99b5d00e8561d0c5","1300643ed76c4ad7967a00fbb252f8e3","3a3d021696e047a886340ce0ea7ba18a","68e6fe92ae5446428caf823623d8470e","023dfc1463fb4d43ae9191ad262049f7","e40e54cf8ca04552a900bf8e0362aacb","28b8c9382fa64d85991d3864623945b1","9bbb45729a554a6f8c204028e6b753bb","be2ed81b8b9747568795d5b39f6822ce","20e78bc864354665b043f11c9033b04f","ab93c60456854be5acbcdb68ed9350df","0da8c9158e9747b783d1a1121e87cfef","b5253c0797574385a60d0d6bccbb9652","3e5351151f9f4c0bb3ac4bfbfc5e07e9","19a4df5038c842d991b22a684d54e62c","4dc343c751124f1ba010df3d3259ba6c","958493a3dcef40bdaa879aa2ff3dee1d","f6b5470451974b40afa49f6b153732bc","b532a0a2610748118a0ff85e064cf621","e0c2e6644bd94c48adbdfa44f0796377","0a91fbd65ccf478584f4137c01ef75d3","9f336f637c3e4d06b0291f212367fc08","7226ba5a088b4c8b985adfbc52b07102","3c0b161fc5dd470db9b517a84a456f06","407d63cf9fc34b05808fa0ff3dedeee2","396b4324d2e4401e9e210ebea5fc7ad3","9a67d90aba7848efb45afdbe0a3f56a8","c393af2ec1004009a4301dda5fc8474d","6602c37c1f74419fb5d1883eea968820","cf1650386ccd4ae1942f9ddac5739fe8","de0c389bb81a470ea5eb8613c193cbea","faa26d50b11d480c9b6a04c22629c58b","c15c17a324f046bb9e5ee5c22cb95a64","03a7af0291ba4d939ece5df6b934eed4","98bd0560ad344debaf88f0661e9d8f00","e3c7c8e914024a95b85fbb94ec23cbbd","94ffd988e6e3491da3c0396b21147266","d3b14b56ec59400aa915052f4746243e","f7786f7439f743dbb516153f137c6c5d","6b4a6c71446b4c4cac4348401eea41e7","13b99d0eb4234eb4b63717c53500f243","efc2479736644104bc5b7e0fdb489cb0","b81670263bd64acbb28df803f2f69492","33fb4de8258a43d08fd1b7710a4b552a","0e3233fb11304fca938321c3efaeebee","b84368c42eed4944bb9c0a40e6593746","e523fa63b1e041a599dd01885f13a6f9","e15b3d6718e04ae6a299e38d3e81e494","3cf7e654bbd24ba2b70e6d2841ac5b36","1403c8f53e384707a4cb66855ee0b144","f92444caf6b045fbb0362ccfb7448fbb","0039e23ed1e54649b587b1c684abdeaf","d20cbf6d145d464898df1b30167fee0e"]},"id":"rouv6cQrngxv","executionInfo":{"status":"ok","timestamp":1715454132799,"user_tz":-120,"elapsed":3762592,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"}},"outputId":"9d435930-5eff-408a-d6ac-8585df63fd0b"},"outputs":[{"output_type":"stream","name":"stdout","text":["s0: 100, K: 98, T: 0.25, 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":"840356fb5e38496598a61ee36706a752"}},"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":["Training reward: -0.4589434564113617\n","s0: 100, K: 94, T: 0.25, vol: 0.3, 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":"3c59dc01b63548c4ab1c411c21c205a5"}},"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":["Training reward: 0.6087982058525085\n","s0: 100, K: 118, T: 2.0, vol: 0.2, 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":"c3d26ac08fbd4793916d8f0b90f8f958"}},"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":["Training reward: -0.20271730422973633\n","s0: 100, K: 105, T: 2.0, 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":"f3cb005f646b44288dbfa95da56260c1"}},"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":["Training reward: -2.5315604209899902\n","s0: 100, K: 117, T: 1.0, vol: 0.2, 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":"969599bff45046e9b692cedfbe87ad87"}},"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":["Training reward: 0.3038598597049713\n","s0: 100, K: 87, T: 1.0, vol: 0.4, 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":"be36c8aac7d7436ebe403edcc70009ae"}},"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":["Training reward: -3.765209197998047\n","s0: 100, K: 98, T: 1.0, vol: 0.4, 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":"fba18ac281ff47588497cc69a2995012"}},"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":["Training reward: -3.771925687789917\n","s0: 100, K: 109, T: 0.25, vol: 0.1, 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":"a2005033ec004a5a8e07dfe10838dae3"}},"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":["Training reward: -1.1350255012512207\n","s0: 100, K: 81, 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":"6ff6a2a87deb455a9c88470f85945653"}},"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":["Training reward: -13.016634941101074\n","s0: 100, K: 89, T: 0.25, 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":"722678d47cae487bab56e9fa70a1e531"}},"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":["Training reward: -6.956539154052734\n","s0: 100, K: 98, T: 0.5, 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":"9639accdd04740afa638b2e9402a60c1"}},"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":["Training reward: -11.714517593383789\n","s0: 100, K: 82, T: 1.0, vol: 0.1, 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":"d0ee7cbde57047a7bd40b6f69a281b60"}},"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":["Training reward: -5.181368350982666\n","s0: 100, K: 109, T: 1.0, vol: 0.3, 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":"2f6f6fb7f05342b18aa50b26dd2a0cf3"}},"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":["Training reward: 0.33142322301864624\n","s0: 100, K: 107, T: 0.25, vol: 0.1, 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":"c2cc29d542e64a7a87b64f2fa608be95"}},"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":["Training reward: -0.2220856249332428\n","s0: 100, K: 119, T: 1.0, vol: 0.3, 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":"2e68427d2042484e8e7e02175f47d022"}},"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":["Training reward: -0.2867736220359802\n","s0: 100, K: 88, T: 0.25, vol: 0.4, 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":"cdff35cd9ad74eb6837f040ff4ce669d"}},"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":["Training reward: -6.018503665924072\n","s0: 100, K: 87, T: 0.25, vol: 0.5, 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":"adf4a2a1191a4bffa0772f44a4a366ea"}},"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":["Training reward: -7.749381065368652\n","s0: 100, K: 106, T: 0.5, vol: 0.5, 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":"4f8816a5ce0444449ec233c632908637"}},"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":["Training reward: -5.643004417419434\n","s0: 100, K: 92, T: 2.0, vol: 0.3, 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":"9a8c64c4e67d4db09f1804f07e653bdd"}},"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":["Training reward: -2.445246934890747\n","s0: 100, K: 103, T: 0.25, vol: 0.3, 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":"0ee0e00a286249f9a120445654852579"}},"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":["Training reward: 0.6791418194770813\n","s0: 100, K: 106, T: 0.5, vol: 0.1, 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":"2068aab414474373ad53c3d9cf3ca43e"}},"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":["Training reward: -0.5942699313163757\n","s0: 100, K: 117, T: 0.5, 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":"bd0538c411904cc7b598478e3fc57ced"}},"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":["Training reward: -1.0701344013214111\n","s0: 100, K: 104, T: 0.5, vol: 0.3, 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":"c923bf3ea4c644a1ab77ded2749084e4"}},"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":["Training reward: -0.3660939335823059\n","s0: 100, K: 114, T: 0.5, vol: 0.5, 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":"3681f489896c4e30a57f610fd386bc66"}},"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":["Training reward: 0.21590915322303772\n","s0: 100, K: 83, T: 1.0, vol: 0.5, 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":"0e7df54e67114345899ee079c22cca0b"}},"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":["Training reward: -33.96358871459961\n","s0: 100, K: 113, T: 0.5, vol: 0.2, 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":"5c11673de97b4300a79dac32683584c4"}},"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":["Training reward: -0.38925236463546753\n","s0: 100, K: 87, T: 0.5, vol: 0.4, 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":"12a42846b6cb4a08ae38ae15eee95ad2"}},"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":["Training reward: -1.0284430980682373\n","s0: 100, K: 98, T: 2.0, vol: 0.2, 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":"47d7f580fb114bc58eff7dc4fbbeb996"}},"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":["Training reward: -1.0340723991394043\n","s0: 100, K: 106, T: 1.0, vol: 0.3, 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":"434af01d668c4233af244a7b9409aab5"}},"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":["Training reward: -0.11730184406042099\n","s0: 100, K: 92, T: 0.5, 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":"358926bdfcd241a2ba29d47ecdbe5ed8"}},"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":["Training reward: -0.38353681564331055\n","s0: 100, K: 82, T: 0.5, vol: 0.2, 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":"f36a7d62392d44c485176bea49cd8326"}},"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":["Training reward: 0.3701139986515045\n","s0: 100, K: 111, T: 0.25, 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":"c09b96e596c942d992546cff9da69fcf"}},"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":["Training reward: -0.664059042930603\n","s0: 100, K: 87, T: 2.0, 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":"74bf22503ce24ec59fc093a8523da29c"}},"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":["Training reward: -9.526305198669434\n","s0: 100, K: 113, T: 2.0, vol: 0.3, 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":"a123f6866a14437089049661e320da18"}},"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":["Training reward: -4.2398600578308105\n","s0: 100, K: 99, T: 1.0, vol: 0.5, 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":"ee5e4dfb87b74c80890487877d395e57"}},"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":["Training reward: -20.368684768676758\n","s0: 100, K: 99, T: 0.5, vol: 0.4, 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":"4f2b30f3d3004ad5b2d564b3e9d7f2e6"}},"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":["Training reward: -0.6510408520698547\n","s0: 100, K: 88, T: 1.0, vol: 0.2, 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":"63c69bef55cc4ebbb46229a5c9b9124a"}},"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":["Training reward: -0.44312921166419983\n","s0: 100, K: 108, T: 0.5, vol: 0.1, 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":"5a46d0daff7e44b59470986d1ab9712a"}},"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":["Training reward: -0.7071536183357239\n","s0: 100, K: 116, T: 0.5, vol: 0.4, 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":"da0bb4434885445491aa5d12bd76c4fe"}},"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":["Training reward: -1.6284948587417603\n","s0: 100, K: 118, T: 0.25, vol: 0.4, 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":"16244366b8d546fab8814f4a76a8af21"}},"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":["Training reward: -0.07889815419912338\n","s0: 100, K: 116, T: 1.0, vol: 0.4, 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":"f7be72752f1840508c0c91e29bd265b1"}},"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":["Training reward: -3.1475484371185303\n","s0: 100, K: 81, T: 0.25, vol: 0.2, 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":"0f4c457332814286b5316bf2f9cbee7a"}},"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":["Training reward: -1.580478310585022\n","s0: 100, K: 107, T: 1.0, 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":"1e20b0676cac447e8138695f2607e653"}},"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":["Training reward: -0.25902456045150757\n","s0: 100, K: 93, T: 0.25, vol: 0.1, 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":"3b3bda655c6f4798b4c670d5e5603a36"}},"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":["Training reward: 0.14059482514858246\n","s0: 100, K: 84, T: 2.0, vol: 0.4, 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":"1a3f51ae89314956a9d62379eb9e1ccb"}},"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":["Training reward: -9.733412742614746\n","s0: 100, K: 94, T: 0.5, vol: 0.3, 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":"2e88162058f14db7b43efb55b3552b8e"}},"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":["Training reward: -1.0558453798294067\n","s0: 100, K: 99, T: 1.0, vol: 0.1, 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":"bdc85b5a88274160b25c146467a772fd"}},"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":["Training reward: 0.3479330539703369\n","s0: 100, K: 104, T: 2.0, vol: 0.5, 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":"6ba12c1f12ff42cea74955989f1f3a1e"}},"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":["Training reward: -72.58383178710938\n","s0: 100, K: 82, T: 2.0, vol: 0.3, 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":"dbee6e004be54108a46ebcdddbbfb401"}},"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":["Training reward: -5.586933135986328\n","s0: 100, K: 84, T: 0.5, 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":"ead6d9e357b64296a9de6fee581b9d84"}},"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":["Training reward: 0.04148366302251816\n","s0: 100, K: 111, T: 2.0, vol: 0.5, 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":"768a61cc3bb84dc88b456a900e4db6f3"}},"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":["Training reward: -31.993825912475586\n","s0: 100, K: 93, T: 0.5, vol: 0.5, 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":"83ce2974f9b04220ba8f731c4bce6bd8"}},"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":["Training reward: -5.827794551849365\n","s0: 100, K: 117, T: 2.0, vol: 0.3, 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":"26c90a13f9944fe684646d2625186cb9"}},"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":["Training reward: -4.565979480743408\n","s0: 100, K: 80, T: 0.25, vol: 0.3, 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":"1300643ed76c4ad7967a00fbb252f8e3"}},"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":["Training reward: 0.47308310866355896\n","s0: 100, K: 116, T: 0.5, vol: 0.3, 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":"68e6fe92ae5446428caf823623d8470e"}},"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":["Training reward: 0.4069865345954895\n","s0: 100, K: 89, T: 0.25, 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":"e40e54cf8ca04552a900bf8e0362aacb"}},"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":["Training reward: -0.680134654045105\n","s0: 100, K: 97, T: 0.5, vol: 0.3, 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":"9bbb45729a554a6f8c204028e6b753bb"}},"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":["Training reward: 0.5375167727470398\n","s0: 100, K: 98, T: 2.0, vol: 0.2, 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":"20e78bc864354665b043f11c9033b04f"}},"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":["Training reward: -1.001160979270935\n","s0: 100, K: 85, 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":"0da8c9158e9747b783d1a1121e87cfef"}},"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":["Training reward: -0.48012128472328186\n","s0: 100, K: 108, T: 2.0, 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":"3e5351151f9f4c0bb3ac4bfbfc5e07e9"}},"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":["Training reward: 1.3683509826660156\n","s0: 100, K: 92, T: 0.25, vol: 0.4, 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":"4dc343c751124f1ba010df3d3259ba6c"}},"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":["Training reward: -1.4202196598052979\n","s0: 100, K: 114, T: 0.5, vol: 0.2, 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":"f6b5470451974b40afa49f6b153732bc"}},"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":["Training reward: -4.341627597808838\n","s0: 100, K: 102, 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":"e0c2e6644bd94c48adbdfa44f0796377"}},"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":["Training reward: -1.67138671875\n","s0: 100, K: 100, T: 0.25, vol: 0.2, 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":"9f336f637c3e4d06b0291f212367fc08"}},"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":["Training reward: 0.6534622311592102\n","s0: 100, K: 106, T: 2.0, vol: 0.4, 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":"3c0b161fc5dd470db9b517a84a456f06"}},"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":["Training reward: -18.08042335510254\n","s0: 100, K: 111, 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":"396b4324d2e4401e9e210ebea5fc7ad3"}},"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":["Training reward: -9.894317626953125\n","s0: 100, K: 116, T: 0.25, vol: 0.5, 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":"c393af2ec1004009a4301dda5fc8474d"}},"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":["Training reward: -4.626898765563965\n","s0: 100, K: 88, T: 1.0, vol: 0.1, 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":"cf1650386ccd4ae1942f9ddac5739fe8"}},"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":["Training reward: -0.11789549887180328\n","s0: 100, K: 111, T: 2.0, vol: 0.4, 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":"faa26d50b11d480c9b6a04c22629c58b"}},"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":["Training reward: -9.090866088867188\n","s0: 100, K: 102, T: 2.0, vol: 0.5, 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":"03a7af0291ba4d939ece5df6b934eed4"}},"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":["Training reward: -14.61872673034668\n","s0: 100, K: 113, T: 0.25, vol: 0.3, 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":"e3c7c8e914024a95b85fbb94ec23cbbd"}},"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":["Training reward: -1.8795289993286133\n","s0: 100, K: 114, T: 0.5, vol: 0.1, 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":"d3b14b56ec59400aa915052f4746243e"}},"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":["Training reward: -1.9372766017913818\n","s0: 100, K: 99, T: 2.0, vol: 0.1, 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":"6b4a6c71446b4c4cac4348401eea41e7"}},"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":["Training reward: -0.2042471468448639\n","s0: 100, K: 100, T: 1.0, vol: 0.2, 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":"efc2479736644104bc5b7e0fdb489cb0"}},"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":["Training reward: -0.8289192914962769\n","s0: 100, K: 91, T: 0.25, vol: 0.5, 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":"33fb4de8258a43d08fd1b7710a4b552a"}},"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":["Training reward: -0.1989741027355194\n","s0: 100, K: 117, T: 2.0, vol: 0.1, 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":"b84368c42eed4944bb9c0a40e6593746"}},"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":["Training reward: -1.4794752597808838\n","s0: 100, K: 83, T: 1.0, vol: 0.3, 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":"e15b3d6718e04ae6a299e38d3e81e494"}},"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":["Training reward: -0.5692011713981628\n","s0: 100, K: 115, T: 0.25, vol: 0.2, 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":"1403c8f53e384707a4cb66855ee0b144"}},"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":["Training reward: -1.8239185810089111\n","s0: 100, K: 116, T: 1.0, vol: 0.5, 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":"0039e23ed1e54649b587b1c684abdeaf"}},"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":["Training reward: 0.6105878949165344\n"]}],"source":["# train loop\n","for 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'Training reward: {mean_reward}')"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":528},"id":"v5shY4N58OLe","executionInfo":{"status":"ok","timestamp":1715454133930,"user_tz":-120,"elapsed":1158,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"}},"outputId":"f39f8b04-2669-49f1-9dc4-b5302cc0425a"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"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()"]},{"cell_type":"markdown","metadata":{"id":"63PqbMfqMZAl"},"source":["### Save the model"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"tLU6aEuyM-S1","executionInfo":{"status":"ok","timestamp":1715454610545,"user_tz":-120,"elapsed":476622,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"}},"outputId":"265e92b1-f872-4893-bb17-4e29face6a02"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["if SAVE:\n","    drive.mount('/content/drive')\n","    SAVE_MODEL_DIR = \"/content/drive/MyDrive/Uni DK/Master's Thesis/Nets/\"\n","    model.save(SAVE_MODEL_DIR + \"td3-bs-zero\")"]},{"cell_type":"markdown","metadata":{"id":"dmSTcsbt0WBs"},"source":["## Evaluation"]},{"cell_type":"code","execution_count":22,"metadata":{"id":"DAoMjSndz5Lq","executionInfo":{"status":"ok","timestamp":1715454685917,"user_tz":-120,"elapsed":728,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"}}},"outputs":[],"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","        break"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":525},"id":"j5H8IIhtz5Lr","executionInfo":{"status":"ok","timestamp":1715454686494,"user_tz":-120,"elapsed":578,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"}},"outputId":"cf0d4497-9400-477f-c0a4-fa1fb1ffaea5"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"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()"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":525},"id":"mdKzRISMz5Ls","executionInfo":{"status":"ok","timestamp":1715454687829,"user_tz":-120,"elapsed":1341,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"}},"outputId":"cb343937-5c50-4465-d9b7-7005506be1d0"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAA+cAAAH8CAYAAACzcN7NAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9d5hkZ3nmj98nVew8PbFnNKOcBRIIFGxYe7GxMWqLNcLbi02wvfD12iZ896cNXryLg7wYC2zzxcvagDHG0A7EweSgALJGEkhi0CjMSDPSzPSEnulY8eTfH+e8p06uU1WnUvfzuS4uRh2q3q46dc553vt+7oczTdMEQRAEQRAEQRAEQRB9g+/3AgiCIAiCIAiCIAhis0PFOUEQBEEQBEEQBEH0GSrOCYIgCIIgCIIgCKLPiP1eQL+5+uqrcfHFF8f+zMLCAmZmZnq0osFexyCsgdZB6xiGdQzCGmgdtI5BXwOtg9YxDOsYhDXQOmgdg74GWkfr63juuedw6NAh7xfNTc5tt92Wys/0gkFYxyCswTRpHX5oHV4GYR2DsAbTpHX4oXUM1hpMk9bhh9bhZRDWMQhrME1ahx9ax2CtwTRpHX6arSPs+2RrT8Dc3Fy/lzAwDMprQevwMijrGBQG4fUYhDUAtI5BZRBej0FYA0DrGFQG5fUYhHUMwhqAwVnHoDAor8cgrGMQ1gAMzjoGhXZeD840N/cotdnZWezfv7/fy0jEMK2V2JzQMUoMOnSMEoMOHaPEoEPHKDHoDMsxGrZOUs6HCNqNIgYdOkaJQYeOUWLQoWOUGHToGCUGnWE+Rkk5H5KdFYIgCIIgCIIgCGJjQMo5QRAEQRAEQRAEQQwgVJwTBEEQBEEQBEEQRJ+h4pwgCIIgCIIgCIIg+gwV5wRBEARBEARBEATRZ6g4JwiCIAiCIAiCIIg+Q8U5QRAEQRAEQRAEQfQZKs4JgiAIgiAIgiAIos9s+uJ8YWEBs7OzmJ+f7/dSCIIgCIIgCIIgiA3M/Pw8ZmdnsbCwEPgeZ5qm2Yc1DQxhw98JgiAIgiAIgiAIoluE1aGbXjknCIIgCIIgCIIgiH5DxTlBEARBEARBEARB9BkqzgmCIAiCIAiCIAiiz1BxThAEQRAEQRAEQRB9hopzgiAIgiAIgiAIgugzVJwTfeXceh2Kpvd7GQRBEARBEARBEH2FinOir7zqD76JT91/tN/LIAiCIAiCIAiC6CtUnBN9ZbksY7ks93sZBEEQBEEQBEEQfYWKc6KvaIYJ3TD7vQyCIAiCIAiCIIi+QsU50Vc0nYpzgiAIgiAIgiAIKs6JvqKTck4QBEEQBEEQBEHF+cLCAmZnZzE/P9/vpWxKNMOg4pwgCIIgCIIgiE3B/Pw8ZmdnsbCwEPie2If1DBQzMzPYv39/v5exKTEME6YJKs4JgiAIgiAIgtgUzM3NYW5uDrOzs4HvbXrlnOgfrCin4pwgCIIgCIIgiM0OFedE39AMA4CloBMEQRAEQRAEQWxmqDgn+oamk3JOEARBEARBEAQBUHFO9BGytRMEQRAEQRAEQVhQcU70DWZr100qzgmCIAiCIAiC2NxQcU70DZ1s7QRBEARBEARBEACoOCf6CNnaCYIgCIIgCIIgLKg4J/qGZhflhm1vJwiCIAiCIAiC2KxQcU70DU23e85JOScIgiAIgiAIYpNDxTnRN8jWThAEQRAEQRAEYbHpi/OFhQXMzs5ifn6+30vZdFBxThAEQRAEQRDEZmJ+fh6zs7NYWFgIfE/sw3oGipmZGezfv7/fy9iUUHFOEARBEARBEMRmYm5uDnNzc5idnQ18b9Mr50T/oJ5zgiAIgiAIgiAICyrOib7B0to1Ks4JgiAIgiAIgtjkUHFO9A3dGaVGxTlBEARBEARBEJsbKs6JvkG2doIgCIIgCIIgCAsqzom+QYFwBEEQBEEQBEEQFlScE32DinOCIAiCIAiCIAgLKs6JvkG2doIgCIIgCIIgCAsqzom+oTnKudHnlRAEQRAEQRAEQfQXKs6JvuGktZuknBMEQRAEQRAEsbmh4pzoG5pOPecEQRAEQRAEQRAAFedEH2F2dirOCYIgCIIgCILY7Gz64nxhYQGzs7OYn5/v91I2HZTWTqTBFx8+jjd9+Pv9XgZBEARBEARBNGV+fh6zs7NYWFgIfE/sw3oGipmZGezfv7/fy9iUaFScEynw6LFlfPNHp/q9DIIgCIIgCIJoytzcHObm5jA7Oxv43qZXzon+QaPUiDSQVR0VWUNV1vq9FIIgCIIgCIJoGyrOib7hpLVTcU50QE3VAQDnS3KfV0IQBEEQBEEQ7UPFOdE3qOecSIO6Yinm59frfV4JQRAEQRAEQbQPFedE3yBbO5EGNcVSzs+VqDgnCIIgCIIghhcqzom+4SjnJhXnRPuw4vz8OtnaCYIgCIIgiOGFinOib1BaO5EGst1zfo5s7QRBEARBEMQQQ8U50Teo55xIAwqEIwiCIAiCIDYCG7I4f+ihh3D8+HHouo6FhQUcOHCg30siQtB0SmsnOqeukHJOEARBEARBDD8DV5w/8sgjeNe73oVPfvKTeNvb3oZjx46F/tzevXsxMTHh+d+73vUuAMBHPvIR7N27F6Io4vbbb8fU1FQP/wIiKbpBgXBE5zg956ScEwRBEARBEEOM2O8FuJFlGXfccQceeughbN++HZdddhne+ta34t577/X83OLiIt75znfi9ttvB8dx4DgO73//+/He974XALBv3z4sLCzAMAzs3r27938IkQiytRNpwHrOlyitnSAIgiAIghhiBqo4v//++zE2Nobt27cDAF72spfhwIEDOHv2rPM1ADAMA29+85uxZcsWAMCnP/1pvOlNb8LExITzM7t27erp2onWYbZ2Ks6JTqipOniOwzlKaycIgiAIgiCGmIEqzp9//nmPBV0QBIyOjuLQoUOe4nzHjh3Ov0+cOIHDhw/jjW98o/O1SqWCT3ziE8hms/j2t7+NO++8E1deeWXocy4sLGB2dtb577m5OczNzaX5ZxERaGRrJ1KgrujYOZnHeeo5JwiCIAiCIAaU+fl5zM/PO/+9sLAQ+JmBKs7Pnz+PXC7n+Voul8Pq6mrk7/yP//E/8Pu///uer73+9a/Hy1/+cgDAtm3b8LrXvQ5PPvkkeD7YYj8zM4P9+/d3vniiZcjWTqRBTdFx5e5xLCxXUZE1FLMDdVojCIIgCIIgiIAI7BaIGQMVCDc+Pg7T9BZq5XIZ09PToT9/5swZ3HPPPbjwwgs9X3/JS17i/PuSSy7BM888g4MHD6a/YKIjdJbWbpqB950gkqAbBlTdwJ4tRQAg9ZwgCIIgCIIYWgaqOL/iiiuwuLjo/LcsyyiVSti7d2/oz3/9618PFO4HDhzAxMQE6nXrJr1UKgEAMplMl1ZNtAuztQNWgU4QrVJXrWOIFec0To0gCIIgCIIYVgaqOH/FK16BxcVFnDx5EgBw33334cYbb8TevXtxzz334IknnvD8/KFDh1AoFDxf2717N+68807HHv/AAw/glltuwVVXXdWbP4JIjNvOTtZ2oh1qigYA2LPFOg/QODWCIAiCIAhiWBmo5kxRFPHJT34Sd911F2666Sbcd999+PSnPw0A+NCHPoQbb7wR11xzjfPzY2NjuOyyyzyPsXv3btxwww24++67oes6Dh8+jC984Qs9/TuIZLC0doCKc6I96vaM8xm7OCflnCAIgiAIghhWBqo4B4BXvepVeNWrXgUAePOb3+x8PazA/r3f+73Qx7jttttw2223dWeBRGpopJwTHVKzi/OxvISJgkTKOUEQBEEQBDG0DJStndhcGK6ecyrOiXaQVas4z0kCtozmcJ5mnRMEQRAEQRBDChXnRN8gWzvRKTW7OM9nRGwdy5GtnSAIgiAIghhaqDgn+sZGsrUrmo73ffHHUDS930vZVLCe81xGwPRYFkslKs4JgiAIgiCI4YSKc6JvuAtyY8iL84MvrOCuz/8YB19Y6fdSNhWs5zwnCZgezeIc2doJgiAIgiCIIYWKc6JvaLoBgecADL9yzuZty5rR5CeJNKm7es63juVwnpRzgiAIgiAIYkih4pzoG5phIitah+DQF+f2vG0WUEb0BmZrz2cayrlpDvexRBAEQRAEQWxONn1xvrCwgNnZWczPz/d7KZsOwzCRlQQAgD7kBRVTzutUnPeUmk85r6s6KrLW51URBEEQBEEQRDjz8/OYnZ3FwsJC4HsDN+e818zMzGD//v39XsamRNMNSBtFOVeZck629l5SVzRkRB48z2F6NAcAOF+SMZKT+rwygiAIgiAIgggyNzeHubk5zM7OBr636ZVzon/o5gaytZNy3hfqqoF8xnJfbB3LAgCNUyMIgiAIgiCGEirOib6h6SYydnE+7GntrPeZ/T/RG+qKhpzdGjE9ZivnlNhOEARBEARBDCFUnBN9Q9MNZES753zYi3NbMadAuN5SU3VHOd8yQso5QRAEQRAEMbxQcU70DcM0kZU2hq2dzdsmW3tvqSu6EyooiTwmixmcL5FyThAEQRAEQQwfVJwTfUPTTUjCxijOZVLO+0JNaSjngGVtJ+WcIAiCIAiCGEaoOCf6huYepWYMd8o5U85lbbj/jmGjrurISY2hE9OjWSyVhqc4l1Ud7/7bR7BeU/u9FIIgCIIgCKLPUHFO9A3d2Dhp7UwxJ1t7b6n7lfPRLM4NUSDckdPr+Nh3j+DgC8v9XgpBEARBEATRZ6g4J/rGRppzXiNbe1+oqTpyruJ861gO54dIOWfHjaoN9/FPEARBEARBdA4V50Tf0F22dsMc7uKkoZyTrb2X1BXdGaUGWMr5MI1Sq8nWcaPotKlDEARBEASx2aHinOgbG8nW7vSck3LeU6yec69yfq5Uhzkkmz01VQMAKJRVQBAEQRAEsenZ9MX5wsICZmdnMT8/3++lbDosW7tg/3s4iqko6tRz3hcCPedjWciqgXJd6+OqklO3N3WG/fgnCIIgCIIgkjE/P4/Z2VksLCwEvieG/PymYmZmBvv37+/3MjYl2gZSzlmRxf6f6A011Vucbx3LAQDOrdcxmpf6tazEVO3jRdHouCEIgiAIgtgMzM3NYW5uDrOzs4HvbXrlnOgfVs/5BinOKRCuL9QVzcktAIDpUas4P18ajr7zmlOck62dIAiCIAhis0PFOdE3dN2AJLA550NenCsUCNcP6qoRGKUGWMr5MFCTLfu9SrZ2giAIgiCITQ8V50Tf0Eg5JzqkrmieQLipEas4XxoW5dwZpUbHDUEQBEEQxGaHinOib7jT2od9lBoFwvUHf8+5JPKYKEhYKg9HcV4nWztBEARBEARhQ8U50Tc03XTS2nVjuIsTUs57j2GYkFUDuYw313LLaG5oZp1XFbK1EwRBEARBEBZUnBN9QzOMDZXWPpITSTnvIey1zkne09iW0ezQKedkaycIgiAIgiCoOCf6gmGYME04SdtDX5yrOiYKGQqE6yGN4tyrnE+PZrFUGo5AuCrZ2gmCIAiCIAgbKs6JvsCKcamHyvlffv1pHDhyLvXH1Q0DimZgvJghW3sPYaqzu+ccsJTzYRmlVidbO0EQBEEQBGFDxTnRF1gx3ktb+0e++Qy+8ujJ1B9XttVySzmn4rxXsKTzsOJ8eUiK88acczpuCIIgCIIgNjtUnBN9QbMD4ESBA8dZNvduoxsm1C7Yh1mBNV6QoBsmNJ0syr2AKedZyVucT4/mhkY5Z8eOSscMQRAEQRDEpoeKc6IvaLaNV+R5CDzXE+XcMM2u9PYytXyimAEAyNQ/3BPqMcr5ek0dCjW6UZyTrZ0gCIIgCGKzs+mL84WFBczOzmJ+fr7fS9lUsGKc5zmIPN+T4lw3zK4Uzk5xXrCKc6boEt2FFba5gHKeBQAsDYF6XrN7zikQjiAIgiAIYnMwPz+P2dlZLCwsBL4nhvz8pmJmZgb79+/v9zI2HbrL1t475bw7I6vqLls7QLPOewULUwtTzgGrON85Wej5ulqBbTBQKwRBEARBEMTmYG5uDnNzc5idnQ18b9Mr50R/CNjazd4o5920tY8z5ZyK857AAuHCes4BDEXfOTtWSDknCIIgCIIgqDgn+gJTygW+d8q52aWec6Z+Oj3nVJz3BDmm5xwYDlt7VSZbO0EQBEEQBGFBxTnRFzS7GBcFDnyPivNu9ZzLAeWcCq1eUIuYcz6aEyEJPM6X6v1YVksw5ZzS2gmCIAiCIAgqzom+wHpsBdvWvhFGqTHlnGztvaGu6JAEHgLvPY1xHIfpsezAK+emaTbS2kk5JwiCIAiC2PRQcU70hX7Y2rs1Sk120topEK6X1FQ9oJoztoxkB77nXNUN57gnWztBEARBEARBxTnRF3SXrV3gemdr78bs65pKynk/qCt6IAyOMT06+Mo5U81HciLZ2gmCIAiCIAgqzol0ePz5Zbz3nx9P/PPM1u6ktfdIOe9GESSrOgSeQzFHynkvqccp56NZLJWHozgfy0tkaycIgiAIgiCoOCfS4d5DZ/B/v3k48c/3w9auGybkLoS11RSrSMxJ1seJlPPeUFN05CKV89zA29qd4ryQgULKOUEQBEEQxKaHinMiFXTDhGYkLzB6ndZumiZMszu9vXXVsldnRcH+byq0ekFdaaKcD3hxXlesMWqknBMEQRAEQRAAFedESlhJ6MkL7EZaO1POu1ucGKa1tm7Y2uuKjrwkgOc5ZESebO09oqZG95yz4tw0u+/IaJeqwkbwSdRzThAEQRAEQVBxTqSDphswTDPxSDRWLLPi3OhyEcVq/24q5wCQkwSytfcIOabnfHo0C1U3sF5Te7yq5Lh7zimtnSAIgiAIgtj0xfnCwgJmZ2cxPz/f76UMNcyWnlQB1HRma+9NIBx7/G6o2m57dVYSSDnvEXE951tGswAw0H3nNWZrL2RIOScIgiAIgtgkzM/PY3Z2FgsLC4HvbfrifGZmBvv378fc3Fy/lzLUsB5yLWGR3Uhr700gnN5NW7vaKBJzEo+6QsV5L6grWoxyngOAge47p7R2giAIgiCIzcfc3Bz279+PmZmZwPc2fXFOpANTwpMWGbrZ27R2Zrfvlq0951bOqdDqCbUmo9QA4Hyp3ssltUTd1XNOtnaCIIggh06sDnR2CEEQRNpQcU6kAgt0a8fWznO9s7UrmpH6hd6rnJOtvVfIcYFwI1ZxPsjKedW2tY/mKBCOIAjCz5nVGm5+z1fx4OFz/V4KQRBEz6DifAOjagbWqkpPnosVv0mLbO+cc777yrmrIGcbA2lRUxrKOQXC9Y5azCg1SeQxXpAGuue8rujISjyyktCVTSOCIIhhZqUswzSB1R7dxxAEQQwCVJxvYD76ncP4ubu+3ZPnatnWbvjS2nuknAOArKVbPMsu5ZwC4XpHXdGRk8TI708P+KzzmqqjkBEhidZpOO1NI4IgiGGmIlvuIlklZxFBEJsHKs43MGdW6z1TDlsNXHMC4XqU1u5WJdPu73WnhmclHnW6kegJcT3nADA1kh1o5bwma8hlBGQE6zRM1naCIIgGVdna6CY3GkEQmwkqzjcwiqY7RXC3Yc+TtMBgxXjP0tpdj592MrZfOacbid5g2cKji/Mto1ksDXAgXE3VkZcEZGzlnELhCIIgGrBcDpqAQhDEZoKK8w2MohldL3oZzJKb9Pk0n61d73K/rXtZXVHOMxQI12vqTZTz6dHcYNvaZR35rAiRlHOCIIgAVdvWrqTcikYQBDHIDGVx/tBDD+H48ePQdR0LCws4cOBAv5c0kMg9LM5Z4FpSVZop7QLPge+xct7NnvOcxJNy3gNM0/S0E4SxZQh6zt3KOc06JwiCaMB6zqlVjCCIzcRAFeePPPII3vWud+GTn/wk3va2t+HYsWOhP/eRj3wEe/fuhSiKuP322zE1NdXyY2wGFHVwbe2GYYLnOHDc8Nva3b3PFAjXG1hAULxynsVSeXCL87pi95wzWzsp5wRBEA41285O11SCIDYT0VHHPUaWZdxxxx146KGHsH37dlx22WV461vfinvvvTfws/v27cPCwgIMw8Du3bvbeozNgKwZjn2827DnURMmTmuGCVHgAFjqebf7bY0uBsK5521bo9SoyOo2NftmrZlyvlZVoWg6MmL0z/WLqqKjkBEcWzv1nBMEQTRoKOdUnBMEsXkYGOX8/vvvx9jYGLZv3w4AeNnLXoYDBw7g7NmzoT+/a9cuT2HezmNsdGRV75mtvTHnPLmtXeQbxXkvR6mlrVC6521nJYHCa3oAU1JyTXrOAWC5PJgzcuuKjlxGdJTzXrlcCIIghoEqFecEQWxCBkY5f/755z32dEEQMDo6ikOHDjnFNqNSqeATn/gEstksvv3tb+POO+/ElVde2dJjMBYWFjA7O+v899zcHObm5lL+6/oDC4QzTRMcx3X1uRxbu5asyNYNEwIrzrnu29rdxX+aCqVhmFA0w6OckwWv+zC7Y5ytfctoFgBwfr2OHRP5nqyrFaqKhunRLKW1EwRBhMCUc4XcaARBbBDm5+cxPz/v/PfCwkLgZwamOD9//jxyuZzna7lcDqurq4Gfff3rX4+Xv/zlAIBt27bhda97HZ588smWHoMxMzOD/fv3d7z+QYTd7OsuC3m30I0W55wbpmPn7UXPucfWnuKFnu3o52mUWk+p2yN2mtnaAQxs33ndTvmXKK2dIAgiQI3mnBMEscHwi8BugZgxMLb28fFxmL5xWuVyGdPT04GffclLXuL8+5JLLsEzzzyDgwcPtvQYmwGWSt4La3vLxbnuUs57UZx7bO3pXeiZgtsYpcaTct4DGsp59P7itKOcD2ZxztohJFLOCYIgAjDlnK6pBEFsJgamOL/iiiuwuLjo/LcsyyiVSti7d6/n5w4cOICJiQnU63UAQKlUAgBkMpnEj7FZYApxL0Lh2JxzLWEgnGEYTnHe61FqaRZBsi+YjALhegNTUrJS9ClsLC9BEviBVc5rioa8q+ecRqkRBEE0qCrUc04QxOZjYIrzV7ziFVhcXMTJkycBAPfddx9uvPFG7N27F/fccw+eeOIJAMDu3btx5513Ovb1Bx54ALfccguuuuqq2MfYjDDlvBdBU6z4TfpcQVt7t9PaG/9OswhiqeHuQDhVN7r+92x2nHaCGOWc4zhsGc3i/Hq9V8tqCUc5J1s7QRBEABYIJ9PGJUEQm4iB6TkXRRGf/OQncdddd+Gmm27Cfffdh09/+tMAgA996EO48cYbcc0112D37t244YYbcPfdd0PXdRw+fBhf+MIXmj7GZoTNgu6FrV0zWptzrummN63d7LZy3lhXmhd62VFwG8q59XUDhezA7H1tOJIEwgFW3/mgKud1Vfco52RrJwiCaFCVac45QRCbj4EpzgHgVa96FV71qlcBAN785jc7X2fFN+O2227Dbbfd1tJjbEZYodyTnnO9tZ5zT1r7ENva/UUiK9JlzUAhm9rTED7YuLq4QDgAmBrJDOwotarsU86pOCcIgnCgUWoEQWxGSNrbwLDd5t7a2pMV2ZphQOhpWnvj32kWQXW/cp6x/iba6e8uNTVZcT6oo+003YCqG8hJjUA4srUTBEE0oEA4giA2I1Scb2Dco9S6DbO1J90I0H229t4q5+ld6JmCm/fZ2mmnv7vIqg6B55zCNgpJ4AfSLs4cF4WsgIxAtnaCIAg/NYUV53RuJAhi80DF+QbGUc57mNbejq2d57jEinu7uEfspVkEsSI857O1s6Kd6A4sTK0ZWUkYyKLXOW4kEaJgfQ66sc6DL6zg//vaU6k/LkEQRLep0JxzgiA2IVScb2BY8Fkvbe1qC7Z2VpQIPD+0Pef+3udGINxg30yU6yr++2ceTdVF0Etqit7U0g4AGXGwlfN8RgDHcZAEviuf0y//8AT+6HMHPZtTBEEQw0BV1jCWlwb+ekoQBJEmVJxvUHTDcArSngTCtWprN0yIfKPnvNtp7Ua3lfMhs7U//vwKPvz1p3H41Hq/l9IWdUVLpJxbxfngvRcs6Ij9Dd3aRKirOqqKjlJdS/2xCYIguoVuGKirOqZGMqiTrZ0giE3Epi/OFxYWMDs7i/n5+X4vJVXcN/o96TnXW5xzrpvg+9BznpXSLYLqvt5nNhZr0HvkWMFaG/BNhCjqquG0EMQxqMq5f057RuShdEE5Z4rT6ZVq6o9NEATRLZi7aGokS8o5QRAbjvn5eczOzmJhYSHwvYEapdYPZmZmsH///n4vI3XcxWG3+7mB1m3tusfW3ou0duvx85KQeiCc2149LMo5Oz6GtTe+rrainA9ece5XzsUu2drZDe7Z1Tou3zWe+uMTBEF0A3aOnCxmIA+g+4kgCKIT5ubmMDc3h9nZ2cD3Nr1yvlFxF6C9SWu3lXOjPVt7r5TzXEZMd865qjthcIArEG7Ai3NHOR/S4jx5z3m6mzFp0VDOu2trd5TzVVLOCYIYHlgY3ORIFrJqUG4GQRCbBirONyge5TxhwdwJTPVTtYSBcHojrb0nyrn9EuRStrXLqk85zwxHIBw7PtiommGjruiOJTyOQVXO3YFwQDd7zq3HPLNaT/2xCYIgugW7Nk2NZAAMfqsYQRBEWlBxvkGRe6ycs+dI3HNumI6tnR9m5dyn4GbtnvNBV87lYVfOVR05qfnpKyvyztSCQYLdeLINBlHgE48hbOd5qOecIIhhoiKz4jwLYPCvqQRBEGlBxfkGRdX61XPe+pxzgedgdFndd/ecp1kEyT5buyjwEAVu4Hf52QbFsBbn1uveXDmXRMHzWRgUwpTzbqyTHYdn10g5JwhieHD3nAMYyPYkgiCIbkDF+QZF9qS1987WriVUwDXdgNDDnnPDUc6F1JXzvK/3OScJA7/Lz2z3g77OKGqKnigQLjvAtnZJ4CEKdsq/0L1RagBwZrWW+mMTBEF0C6acTzrK+eCdxwmCILoBFecbFHfPc09s7bYynVT90122doHrna09nxFS7QeXVT0w0is7DMW5/T4xdWLY8KfkR5ER+YFM+vVvLogC1xVbe2OUGhXnBEEMDzWZjVKzlPNBv6YSBEGkBRXnGxSlx7b2VuecW2ntrkC4LiexMlt7NmVbe00NKrg5Kd0NgG6gDLtyriYrziWRh6abjnNiUKgrmqcdItMl+31N0cFxwNk1Ks4JghgeHOW8aCnng35NJQiCSAsqzjco7gtZt9PaTdNsuedcM4yeprU7yrmUrq29rgSV85zED3zRKw95z3ld8fb6R8Hem0GztlcVHQVPcd69UWq7pwoo1zWUamrqj08QBNENqrKGrMSjmLWyRag4Jwhis0DF+QbF23PeG1UaaKXn3Oxtz7nZnZ7zeohynh0C5ZwFhdWHtDj3j7CLImP3dCtdsIx3grW50Ai0k7pka6+rOvZtGwFAfecEQQwPFVlDISMi40xAGaxzOEEQRLeg4nyD4rbI6l22tbtt8630nDPlnOc5mKalwHcLZ5SaJKSa+loP6Tm3bO2DfSPBXoPqkM451wwTkp1ZEEfGHrc2aEm/NdUbJCiJ6W4aOc+j6Ng7TcU5QRDDRU3RUcyKzibsoG94EwRBpAUV5xsUdwhWt23tbrU8ec+50QiEs4v0bqrnhglwHJCV0rUP10PS2ocpEG5YlXNNNyAIzU9fTHVRBmyzpCZryGe9tvZuBcJdSMo5QRBDRkXWUMiKTvvSoF9TCYIg0mLTF+cLCwuYnZ3F/Px8v5eSKm7ltlf93ACgJlTpNd2E6LK1+x8nbQxbqZeE9G3tWcn7MRqGQDi2vtqArzMKt/Mijoxg95wPmK09oJx3wdZumibqqoHp0SyKWZGKc4IghoaqrKGQFRxn2qBfUwmCIFphfn4es7OzWFhYCHxPDPn5TcXMzAz279/f72WkTi/T2plans8IiVV6d3HVi+JcNwzwHGcplGkr5xnvxygr8QPfH6dsAOVcTFKc2xsng3ZjZynnrp7zLtjaNd2EYZrISgJ2TORxmopzgiCGhJpiKedZ2/0kD1ioJ0EQRCfMzc1hbm4Os7Ozge9teuV8oyK7gsqShrS1i7ufW9USKufuOec9srULPGfZ2lNUKOuqjtwQK+f96Dl//PllvHCu3NFj6IYJsQVbezfGlHVCqHKe8hqZKyKfsYrzs1ScEwQxJFRkq+fcCYQb0o1kgiCIVqHifIOi6AZykgCe692YsqwkJO4513TDldbOex6nG+iOrZ1PNaytrnpTtwGrOB/0/rh+9py/+28fwZ9/5amOHkNLaGvPirYlctCKc98ouG70nLMNmKwkYOckKecEQQwPVbvnnOO4odjwJgiCSAsqzjcoiqojI/LWmLIu99u6be1JCwzDndbO9UI5N1229nTT2v3KebuBcIdOrOKi3/58T+ZRK6znvA/FeVXRPIGF7WBlFiSwtbNAuAEszgueUWrpzzlnGy85ScD28RzOrNZTfXyCIIhuYY1SszYwcxI/8BveBEEQaUHF+QZF1gxkJQGiwPXM1p6VhORzzkNs7UaXR6kJvFWcp2VrNwwTsmqEKuft7PIfP1/BufU6lspyKuuLw1HO+3DDo2hGRxsxpmn1UreS1j5otva6onmUc0nkE7tOksJs7Tnb1n5mpZrq4xMEQXQL1nMOABmpO6MmCYIgBhEqzjcosmpAEniIfPdt7ZrTc548bE03Gspnr9LaOY5Dxg7eSmOmOlN//cp5ps1AOOY66IV9z5lzLve+51zRDBgdvNfsOGlFOe9UqU+bqqI7qhAAZLqgnLPjKGfb2kt1DZU+vN8EQRCtUpF1pzgfhlYxgiCItKDifIOiaNaIL4HnUlfk/LDHz0liiz3nvQyEayjnpplOgn3NsQ2no5yzvz/NIk3R9NCNCNZ3P4zKOXvvEo1SG1Bbe13xZhVkxC7Y2l3F+Y6JPACadU4QxHBQlTWn9afdVjGCIIhhhIrzDYqsGciKAgSB77qt3XAr50mLc6NhS+6Vcs5zrmIthQ0Lp6c3E0xrb+dGQktZOTdNE1e9+0v46mPBGYqyZgUG9qPnvNPiXLc3G1hbRBwZOxBu0IrzmtKYpgAAosBDTXnkYSMQjneK89MrVJwTBDH4sEA4wLq3oEA4giA2C1Scb1AUzUBGsmztnViIk+DY2jPJe86NHtva3T3nQDrFGivA85J/znl7yjl77dKakV5XdZxdq+PE+Urge6qmY7wg2YVybwtXVdOdArsd2CaGyCfvOVcGyNZuGCbqqrc4TzuoEGg4O/IZ0SnOaZwaQRDDQFXRUMxa58isKKQ6ZYUgCGKQoeJ8g6KouqWc98TW7p5z3omtvXvr1A0rrV1yAsI6L4TqLmXSTbvJsuy1S6uQZP3FYWuRNQPjhQyA3ie2K3o6tnY+ySg1+70ZpBu7umv+OCPNoEL/82QlHmN5CYWMQOPUCIIYeHTDgKwajnLe7oY3QRDEMELF+QbFSmvnIfbA1s6K6lwrc84NE6Jta+dTVM5N0wztsTZMaxMgm6LNue5SJt1YNxKth86x9ymtQrIqW+sLLc5VAxPF3hfnpmlC0YyONoyMFmztAs+D57jUZ4h3QlhWgSTwULXu2NpzkgCO46zEdirOCYIYcCr2tYv1nNMoNYIgNhNUnG9QZFXvfVp7C7b2sLT2NOz3/+uffoS3/OUDoc/ntrXLKRTntUjl3NoAaLXIZvPo01LOqzHKuaLpmChI1vd7WJzrhgnT7Oy9bsXWDljvzyD1nNcU630pZL2j1AzTTNU9wtoj2PG4Y5KKc4IgBp+azM6RFAhHEMTmY9MX5wsLC5idncX8/Hy/l5Iqij3nnOe5VJLJ4/DY2hOntZtdSWs/sVTByeXgPGfDtEapSSnOvZbVcOWcFUOt3kykrZw7tvaQ4ltWDYwxW3sPb3rYpkiv0toByzI+SJbIRi+419YOpBtcV1d0iALnOFR2jFNxThDE4MOuXUWPrX1wNlgJgiA6ZX5+HrOzs1hYCIY2b/rifGZmBvv378fc3Fy/l5IqimYgK1q29m4HfjEVNCsJiay5pmlao83sooEpoGkU56oePkPbUc6F9Iqghj3Z+zHKSsw631pB6Mw5T0k5Zwqtf5PAMEyouoFxWzmv9XD2tZJGcW4kt7UDtmW8C7b25bKMP91/CKsVpaXfq4W0Q0j2cZlmYntd1Z2NIgBkaycIYiioyl53UU7iU7suEgRBDAJzc3PYv38/ZmZmAt8TQ36e2ADImo6MJPTI1m4VPvmMAMM0rbFlMaomW0830trViDFdpmmtKc30bqenN1I5b60gZIpwWuopUx/8PeXs8Z2e8x6qyiyIr5O0drbZJCS2taevutx76Aze/tcP4tRKDRduK+L1N+1L/Lts08StnEue41JKZY11VXc2igCytRMEMRxUQmztg+R+IgiC6CabXjnfqCiqpZwLPbS1s0JAa6LU+23JTnHeQcHWeOzw4txRzlk/eIrKed5VAAGNHvRWbe2s6EzrJoQFwvkfjykQLK29lz3nqSjnbdja09rwUDQdvzv/KG77k+/ikh1jABrhRUmpu4La3GsE0mm3cJ5H0T3H5o6JPNaqqqNKEQRBDCLs2tqYcy6kNmKUIAhi0Iktzv/kT/4Ef/M3fwNZlvGGN7wBr371q3Hffff1am1EB8iajozIQxS4psVyp7BCixUbzay5bD3Mlpymcq5oRmiRb5gmeC7dIkhWdfAcF7BXNwLhWuw5t1+3NDYOgObKeT9GqaVRnOst2tqt4jydv/Hv7z+Kv/z6M7hr7np8+b/+NHKS0HKxyzZN2I0n0D1bu1s532nPOif1nCCIQSas57yXm8gEQRD9JLY4HxkZwVvf+lZ88IMfBMdx+MY3voFHH320V2sjOkDRDGREAQLP99TWDjQvfBu29vRHqam6GTqmq1s95/mMNabKTS7TXiAc64tWUlPOrRucgHJu/zdLa2c2616QanGe0NaepnK+sFzFrsk83vHzV4LnORSyonMjmZQ45TytTQTAep9zGa9yDoBmnW9APvz1p/GZ7x/t9zIIIhXYtYvdU2RT3GAlCIIYdGLvbnft2gWO43DPPffgLW95CwBg+/btvVgX0SGyqiMr9cbWrut+5TyZrZ3vwig1NcbWzrvS2lOZc+5TJhnZQVPOA7Z2X895DxUJdmykMUotqa09KwqpFedrVRXj9usGAMVsO8p5yCg1oQu2dtVra58asdbdaoAdMdiYpom/+OpT+MqjwcRXghhGqszWzuacZ8jW3gwzhbZAgiAGg9jifHFxEceOHcMPfvAD/MRP/AQURcHy8nKv1kZ0AFPORYHrelq739beTBXVu2hr1yLS2g3T2gzIJtxASEJd1T2hXgwnEK7Foldzes7Teb9qEco5U+aLWRE8x/V0fixbS0/T2lNUXdaqipNyD1jW9FaL87rdDsEKcqBLtnbFu3nEbPTUc76xeP5cBWdWazQHmtgwVGUN+YzgbOBTIFxz/uNfPYj//hlythLERiC2OL/++uvxjne8Ax/96EexuLiIt7zlLXj88cd7tDSiE6w55zzEHtrancI3oa3dCYTj0rS1NwmEs4ugNC701qiq4EeoEQjXWpGtO2nt6dyEsKAyvzLOlPOsJCCfEYa257wfgXCrVcXp1QesDY5Wbe1h7RDdsLX7j0+mQrW6XmKwefDwIoDeBjsSRDepyJonk8MKhKPjO4qqrOFLj5zA0bOlfi+FIIgUiB2l9rKXvQxf/vKXnf/+zGc+g2eeeabriyI6R9b0Rlp7t4tzu6h0es4T2tpZz3DqgXBhyrlja+ecn+sUvzLJaDcQjr1uad2ENOs5z4q8XZz3rlhjf2Mnx2TDeZFwlJrIp9YqsF5TsXe66Px3O8p5TdECjos02y0Y/rYLnueQz7RuwycGmwcPnwPQ2+wIgugmVVlDIePN5FA0A6ZpBjJeCOB7T59FXdXJXUAQGwRPcf7ss8/i1KlTkT+s6zo+8IEP4F/+5V+6vjCifUzThKwakEShNz3nhneUWrPinKWpd8vWHlb4GaalnAu8tWGRhq19taI4fdtuGnPOW7W12z3nKdnam6W1Z4ZUOW91lJqUcs/5WL7xnluBcK29fkw596zR3mhI87NaV3RsGc16vtbOeonBhhXnnW7q/f4//wgv3jeFX7xxTxrLIoi2qYYo54B1bcyFtJJtdr7xuHXfntYmNEEQ/cVTnH/kIx/B17/+dWzbtg0AcP78eei6jmLRUopWVlYwMjLS+1USLcEKT6acd7vnXLNVaWbNbVZ4+QO90k5rj1POgfRszktlGVtGsoGviwIPnuPaCISz09pTsjZXbSXNb693K+e5jNiX4tzo4Jhkr5OYOBCOT00tXqt4e86LWbHlgLWaoiOX8ZqWumNrNwLOjmIbSj8xuJwv1fHMqXVsH891/Dn+wsPHsVyWqTgn+k5V0Z0xaoB3w5uKcy+maeKbP7KLc1LOCWJD4LlDvPjii/HYY48hk7GUob/7u7/Dm970Juf7pmniM5/5TG9X2GUWFhYwOzuLubk5zM3N9Xs5qaA4PcU8RIHvut3RsPu5WbHUrOe8oXymb2tv1nMO2DbnFC5iSyUZ1+2dDP1eTuJbV85TTmtngXB13/vv6Tnv8fxYNY2ec8d5kXyUmpxmIFzR23O+sFxt6TFkX4o6WyMAKCk4OtzPk/M9Tzs2fGJweejIeQDAT129A99/erGjx5JVHeW6msayCKIj/Mp5uxNQNgPPnFrHC+cr2DtdTM11RxBE95mfn8f8/DwWFoKTVjx3t//pP/0npzAHgHw+7/lhjuOQzQaVwmFmZmYG+/fv3zCFOdCwRWdEAWIPbO2abkAUGmPKmlnGjQhbu5HCKBBFM0JVWcM0wYRWSRRSsbUvleSAbZiRlVof/aKlPOec2ZfrquEZs+LY2kUe+azgKOy9oB+29oyUjq1dNwyU6logEK71nnPdCQ1kiM4otRRt7SHTBIo9fr+J7vLg4XPYNZnHZbvGAyMTW6Wu6livpVecG4aZ6mhAYvNQ8fWcs/Ml2baDfONHp5DPCHjVdTtT24QmCKL7zM3NYf/+/ZiZmQl8L1Z6OnjwoKfQMQwDDz/8cPorJFKFWWPZnPPup7VbqnTScVBOccX5e847v/BqCZTzbtvaAWsua8u2diNd5ZyNozFM07MZ0bC19145ZzcPPS3OBR5KCorCes0qasfznY1Sk0OsmRlnYyvdtHa/rT2fIeV8I/Hg4XO4+bKtyLdxvvFTV3WU6+kdG//f15/Ga/73d1J7PGLzUItQzimxPcg3f3QKr7hyO8YLGXIWEMQGIbY4v/XWW3HVVVdhbm4Ov/Ebv4EXvehFuOWWW3q1NqJNWHGXEaw551oP5pyLPOco4c2KbKdnWOiCrT0irV03GimvaRTndcW6kY1SztsZ/cJelzQD4abszQO3ii+7lPNcRuhYcWuFNGztRhu29jTs4mtVq7fcq5wLLY8mq8fZ2lNOaw+ztVMg3Magpmh47NiyU5x32nNeT9nWfvx8GSeWKqk9HrF5qMh6RCAcnbvcrNdU/OvhRbz6RbtSnUpCEER/ib27/bmf+zn8wz/8A2ZmZjAxMYG//du/xe23396jpRHtwi5gGYmHwPM9sbULAp/YmtvNtHZVN2PT2gErGbvTImi5LAMApkdzod/PSu0r56kFwskapkasQtLdd66oOiSBt0driU5vei9Ix9buDRRsRkbiU2kVWKuw4rwz5TxM0U7qOmnpeUJG/VEg3Mbhh0eXoeoGbr5sG3KSAL0DG7mmG9B0E6UUbe01RadjjWgLa5RaeCAc0eCeJ05D0038zIt22fccVJwTxEYgds75/v378eIXvxh33313r9ZDpIATCGentRtdtrXrAVt7skA4PmBr72ydpm3fDivaDMOEZPetZSW+4wJ4yS7OI3vORb7lC6WjnKe0+12RNVyyYxRAUDlnPXz5jIBTPbzhYQp2R8W5/btJ09ozKWzGAHD6cf2BcBVZb2n+bl3VMVHwjuDjOMt5kmaPbljPeaGNADtiMDlw5BxGcyKu3jOOI6fXAQA1VXeyP1qBnXNKKdra64re00kQxMahqnht7cxZRMq5l2/86BQu3zWGfVtH2hIECIIYTGKv4h/+8IcDKXJnzpzp6oKIzlFcady9tLVLthLe7PmY7Z0p56xI77Q4Z0V/6Cg1szGyLQ1b+1IpvjiXBL7l0DknrT2lC2xN0R1buzuxX1Z1ZESraMtnettz7oxS6yD8j72/7PhpRlYSUrG1r9q29jFfz7lhmi1txIQp2oC1iZD0mJHVeFXSNM1Qhb6YFUjN3CA8ePgcXn7pVgg872QY+CczJIWdA9JUzquKjrqqd31zmNh4VGUNxWzj3OWec05YGIY1Qu3VL7LCpHKSQIFwBLFBiC3O3/CGN2Dr1q2er33oQx/q6oKIznFs7SIPsUe2dlHgndFoTW3thrdnmOM48FznwXXuwsZ/Q6gbphNAJwmdp3c7xXlEIJzYTnFusDnn6SSL11Xd2Txw39QoLuU8J3Xeq9oKTBnu5JhkDgM+oVItiSnZ2qu2cu6ztQNoqe9cVo2Aog3Y60z43v+vf3ocv/aRf438vqobME1rpJ8bGqW2MTAMEw8dscLgADjHU7ufZXbNqCm68/nqFLZRQFZkolX8o9SczSc6lhxOr9Zwdq2OW6+wzgEZ0brXSyNYlyCI/hJbnH/0ox/Ftddei+3bt+Oiiy7ChRdeiD//8z/v0dKIdnEr5z1Na7etZ81u7vxp7QBSWae7GPY/lmGaHuW8U/vwUllGRuQxkgvvDGnnOdJUzqt26FeYcq5oBrIis7WLnu91mzR6zlkbRVIbeTaldP61ioJCRnBcB4BlawdaK85rIYo20FoWwsJyFYtrtcjvszaGfMZ7fFo2fCrOh52Ty1WsVVVcf+EUgIay2G5x7g6FTCuxnT0mje4jWsUfCNerOed//72jqYYidhPmcmEtUs64OXIXEMTQE1uc79u3D4cOHcLDDz+Me+65B/feey/e+MY39mptbfPQQw/h+PHj0HUdCwsLOHDgQL+X1FOYtSkj8BAELjQgLU0aPedWsdS059xnawe6X5y7R6llpc5TTdmM86gCURK40NfBNE386f4nQgsr1UlrT6M4t26IWSCc7Ok51yHZBWYh21vlPI1RarphJra0A0BGFFLp41+vqZ5+c6ChnLeiRsshKeqApZwnVS2rih77GjLV0j9PvZAVqQ94A8AKiAn7eGSbMO0qi+5zTlrWdmaVr9F0AKIFVM2Aqhu+tHbrPNZN5XypJOM3P3oA//LDk117jjRh1xy2QexY/ymxnSCGntji/C/+4i9w0UUXYe/evdizZw+OHz+Ou+66q6sLeuSRR/Cud70Ln/zkJ/G2t70Nx44dC/25hx56CB/4wAfw3ve+F69+9atx3333Od/7yEc+gr1790IURdx+++2Ymprq6poHDVaIZSTL1m502ebEbO0sEK7ZZoDf1g6kVJy7Lkr+vnfDNMHywyyFssNAuFL0jHOA2dqDf896TcUffPYg7j10NvA9nSnnKVxcK05xbivnqjutvaGctzPyrRPSGKWm6QZEPnnolSTy0I3O7X5rVcXTbw60p5yHBbUBrQXX1RQttjWAKeeBUWoZSzk3O+j5J/oPU7fZ8Zfv0Pbrzp1ISzmsKqScE63Djpeiqzhn9xbdVIXZZ+f0arQjaZBgrxPbxGCOLgqFI4jhJzatfceOHc6/eZ7HBRdcgLvvvhvvf//7u7IYWZZxxx134KGHHsL27dtx2WWX4a1vfSvuvfdez89Vq1V88YtfxP/+3/8bAPDZz34WP//zP48jR45gZmYG+/btw8LCAgzDwO7du7uy1kFGddLaLVt7t3vOmSrNlOlmdm5/WjuQlnLe+P0w5Zy3C7qMyHesDi2V5cgwOPYcYRdJVnyFqeqaYUAUuFRuQNiuOltjXfEq5420dktJbSVtvBPcgXDtPqfmckEkgW1EqJoJIdPkh2NYraqeGeeA5TwAWlPOowLhWuk5r8l6bPAiu9H0P08ha43csnIHgmsghoOKrzhvBMK1WZy7zlXrqSnn1hrJqTH81O1wv4liByfQhLBzacEVCMdxnBV41sXCkz32mZXhKM79G3QNWzt93ghi2ImVn37wgx9g586dEAQBPM/joosuwrlz57q2mPvvvx9jY2PYvn07AOBlL3sZDhw4gLNnvSrjs88+i/e973149tlnAQCvfvWrUavV8MADDzg/s2vXrk1ZmAMN63BW4u209u4X56LdAywKXFNrbljadi9s7ayey4h8x+ndzZRzKUI5Z69NaHGumyja6d+dhjIx1Yop53WXci6rhrPLnsvY85FTCoFqhrv4bDexXdNbK86dMTwduiXWqgomCuko5/6gNsA6ZpLb2pso5/b7nw+Zcw60tl5i8CjLVgFdtDMv8h32nLs3BFPrOWfKOR1rQ88H/uUQfukD9/bkudi5qeDLy8hJfFddXuzadGZYlHNma8+x4pxs7UQ4//LDk3j1Xd/q9zKIFohVzv/pn/4Jjz/+OL71rW/hV37lV3DixImAip0mzz//vMeCLggCRkdHcejQIadgB4Brr70WDzzwAC6++GIAwPHjxwEAl156KQCgUqngE5/4BLLZLL797W/jzjvvxJVXXhn6nAsLC5idnXX+e25uDnNzc6n/bb2E3WhJAg+xR4FwrNBOMkKsMUqtUaDwKdva/Y9lmo2CThLTSWtnM8TDkMTw10GJSStXdQPFrIi1qgpZMzyvT6tUfbb2uietXXfU5IIr5dkddNYt/Bso7fyJVs958l9kf1en7/l6VcX28Zzna632nBu2ap3LBE+9rYz4qyk64vYn2E1sLmTOOVvvVMzmEjHYsONtJGttFrEb87Zt7Wr6tnZWnJNyPvycWKribI+KVna8uHvOAXR9jrc8ZLb2iq/nPEuz4IkInlpYxQ+PLvV7GYTN/Pw85ufnnf/2jywHmhTnL37xi7F9+3asra1hfX0de/bsweTkZPortTl//jxyOe/Nby6Xw+rqqudrHMfhlltucf77fe97H971rnfh+uuvBwC8/vWvx8tf/nIAwLZt2/C6170OTz75pGNrdjMzM4P9+/en/Jf0F8W2LXMcB55Prsa1i6YbjkVdEvimSn1UWnunvfFNR6mxQDiRh9KhdbyZrT1qlJoao5zrhunckMiq7um5axV24R7JichKvGf+sawZyEgN5RywlNbxQttPlxglZgMlKbphtKWcd1qcr1UVXLrTuyHTqhLtFM1hynkLjo6a0thgCUOOtLWTcr4RqNQ18Bznak9hm2xtzjnvgq2divONw1pVcdxY3cZfdDKykjfY87Fjy/jd+Ufx5f/60x1tZDPkIVTOMyLv/O25HiXaE8NHVdYhq4Z979T5Z4XoDL8I7BaIGbHv0rFjx/C2t70Nl156Kd7+9rfjySefxPe+9730V2ozPj4eCCoql8uYnp6O/J2/+Zu/wY4dO/DBD37Q+dpLXvIS59+XXHIJnnnmGRw8eDD9BQ8osmYgY5+wRaH7yrlbyRR4rnnPebds7TGFn2E0etw7tbWbptnU1h41Sk2N6znXDWc0W6eFJFPW8hnBDn1zKedqo7DLS9bz1Xp0QU+jONd0q40iKayASaM49/eciwKPjMgnVs4bxXn4KLWk4/dqihbrUGHPE2Vrr1KC9lBTljWM5EQnsyEj8uC4znvOBZ5LxdauG4ZzfPZyVCPRHVYrSs/eR/e1y03WF1760JFz+P7Ti1guy6k8LwuJPb1SG4rAzIrs3cDPkK2diIB9dus0Zm9oiC3O77jjDmzfvh233norLrzwQtx888246KKLuraYK664AouLi85/y7KMUqmEvXv3hv78V7/6Vei6jj/90z+FLMt4/vnnceDAAUxMTKBerwMASqUSACCT6X6QyaAgqw1ltB1b++s/cC8eeGax+Q/auEdbJRkHxdbjVj8FLt2ec796r3ts7Z3Nva7a4ThxynnUKDXWhx5WhGk+5bwT3H17OUkIKOdZn3Je65GS6k7Jb185b22UWiPpt9Oe82AgHMBmhyd7bDnCbg7YGzpJe85lPdahwtTKbivnjx5dwvHzlVQei0hOVdacXlPAcpPlpfbHIrKifrKYCQ3LvOeJMy1NuHCvo1eKK9E91qoKqrLek6KVbRz6be05yRuyenbNusdbLiupPC9rB6yrOtaqgz/rvFJXPcU52dqJKKqOi4k2SoeF2OI8k8ngD//wD1EsFvHHf/zHWFtbw9vf/vauLeYVr3gFFhcXcfKkNWfyvvvuw4033oi9e/finnvuwRNPPOH87P33349Tp07htttuw5kzZ/D1r38dp0+fxu7du3HnnXc69vgHHngAt9xyC6666qqurXvQUF09xVZae/JC1DBMfONHp/DE8ZXEv6PphmNRjwpCc6PbNnjOn9be4YU/Lq3dMEyPcq52EA62VLJ26uOL8/DXgRVfYe+JqhnOxbbT3e+qrCGfEcDzXEA5twLhgj3nvUDRjMbIvTanCGht2to7Cb0zTRNrVTUQCAdYN5HJlfPwEWdsnUk2jdgc4LjXL2oToNCh/dnPb338IXzwXw6l8lhEcsp1LRiYlRHbdsDIqo6cJGC8IKHk6zlfKsmYff938bXHTiV+PPf5pFcbf0T3WKuqMEyzY/dREvzzuxlZ33Vscd0qzpdSUs7dgaHDYG2vyJpvFjyztZM6Snhh5+B2nVVE74ltav33//7f4xvf+AbGx8d7sxhRxCc/+UncdddduOmmm3Dffffh05/+NADgQx/6EG688UZcc801OHr0KF772tc6qjhjbW0NY2NjuOGGG3D33XdD13UcPnwYX/jCF3qy/kHBrYyKCXrA3bCbu1YKJ7etXRK42BFPjZ/3Fldp2No1T9iYdw3WKDW7OG9hnnQYTnHebM55yHM0RqkF/1Z3z7nS4e53VdGdx8plBE8xZmUS+JTzHtra8xkBas3oMK09ed8U+1s7ec/LdQ2GaWIsojhP3HNuvw9hY8yicgr8sPcqbm57VG97qwF2zVguyzi3ns7NMZGcSl1zWmAY+Uz7gVlsgsBITkK55j02ztlF0Eol+ftMyvnGYq1qqdPViDGQaVKJsrWL3uN7cc0qoFOztbuK2tMrNVwxk+y+93ypjsW1Oq7aPZHKOpJSVSJs7aScEz6qlP8xdMQW5/l8Hl/60pdQKpVw8cUX42d/9mdDQ9XS5FWvehVe9apXAQDe/OY3O193F9gXXXQR1tfXIx/jtttuw2233da9RQ44sqo7amGrtnZ2096Kiu2eOy3wPFStSSBcyJzqNNLa4/qZDdOlnPuCZVplqWTdrDabcx7VVw5E95ynqZw7M5AlwbObLmtGo+fcVt96taOq2sX5ek1t+/02+mBrZzen4bZ2ITXlvJKg35cV+PHKueVQ8G9ipD1Kba2qpnZzTCSnIqseWztgHVPtj1Kziq6RXFA5X6lYx36Y3T0K92YgWSmHG8MwnZDAmqxhssuzzquyhkJG8DjrgKCtfTFtW7tLOT+9Wk38e3fvP4RvHTyNH/7Ja1NZR1KqPuU8m9LIUGLj0eg5p2NjWIgtzr/yla+gULAinJ966im89rWvxVVXXYW77767J4sj2kPRGrZlVvSaphm42IXBioxWlHNNNzz93M1s9JpuBAK9rLT29HrO/Y9luDYEosLaksJsdHGjqKJGyilxgXCG2SjOO1XOXRfuXEbwKOPW5o1VHDJ1otqjG2hFM5x1tR0I16KtnSk9ndjaWQ9iWHHemq09OhAuI/BYSXBcsl3wOIdKTdFCE+EzIg+B51IJhFM1AxVZo+K8D/jDoADrs9zuJlvNtrWP5sVAEc7e31aC4jzKOYUPDjXrNRVsr74X1wm368uNPxCuUZynZGu3N05HcyLOrNYT/97h0+tYraazQdAK5bo3d4IFnw6Lrb2msIkT3R/hutlh52BSzoeHWBn8wx/+ML7//e/j7W9/O26//XZcdtlleOMb39irtRFtYimjDVs7kLwQYh/eVgonw2drbz7nPDinOn1be3CUGhMR07C1FzJC6A0EI8rWHttzrhuuQLjOLrAVW30AmHLeOCkrmhEYwdQr5VzRDacw7SytvZU5553ftDSU86CtvdiSrT06EC6xrT3BBlpdNUJvejiOa2m9cbAbUtbmQfQOfxgUYCvn7draFR25jIDRnBQowlnx08qINXYdyYg8KedDzpqr8OzFzX1d0QKWdsDrADNN0+k5Ty+t3dr0ndlSxJkWlPOjZ0uptQm1gtsdB1iuRVHghsbW/pa/fADv+YfH+r2MTYGjnFNxPjTEKufvec978KIXvQjXX389HnvsMUdFJwYbVdORkRqBcAAriJv/rmNrb2HmuNumnmjOuav/m5HKKLWYtHbDNJ3QuqTBW1EsleJnnLPniFXOfdZ/0zSh6S7lvENrmkc599ldZfcotR4Hwqma7qjP7SvnJoQWbO1pzDlnyvlEhHJeTli4xCrnCR0dVdcGWpQjRlb10Btctt40bibZTftyWUnszCHSoSxr2DHpvR7nMt6pDK0gq4atnEt49ow3y6UdWzu7CZwayZJaM+S4k8t7UYQquuE4u9xkJd45f65WVed8nl5au3Vd3DmRx+mVZIFwqmbghfOVltyJaVGRNeya8p0DOmzZ6yUnliothRVvVg6dWMUffPZHmH/nKwL3zUlxes7V1j6/b/urB/FLN12AV79opq3nJdonVn56z3veg0ceeQS/93u/h7//+7/HH//xH+Ohhx7q1dqINpFVl3Juf5iThsJV21DO3XOnk8w51yNs7d3sOdfdtnZJgGGabV8YlsrNi3NJCH8donrOWTgas6l1rpx7A+H8yjkLjxF4HpLA96wXSdEMRzVuZQPIjW60p5y3MgrKDytEQwPhMm2MUusgrd2tREap57WY4KZiVkhFOWc37apupDIbm0iOpZp53998poNRajE950yZbKU4Z/bnqZEMKec2v/ePj+H7T5/t9zJaxq2c9+I6obra8txkJcE5h7MwuNGcmJpzhwXp7pjI43TCtHarwDRhmr23DIedAzJi+6GQvWa9qqa2sbKReeS58/jqYwuB83IrtJvW/sVHjuMj33im7ecl2if2Dvf6669HqVTCt7/9bczPz+MjH/kI9u/f36u1EW0iuy5uojO2KlkhVEsQNuWnnTnn3bC1x45SM+FJawfaV1LPl+TYpHag+Sg1f3HOXm+mnHdSSALW+8geyz//2K2cA9ZNfa9sebJmIN+hrV3X2xul1plyriAj8qFF9UguuRJdiynOo3IKAo/hei+j+s7ZaKwwClkxlYLJfdNOfefWZ+5df/twS0Vsu1TqGopZ70ZRzteT2wpybM+5rZy3cHPoVs4prd3iE/c8iy//4GS/l9Ey7n7qXuQHKBHFuXskKJsgcPnMeIq2dmuDaudkHmcTFudHzzZcJmmFbCalIgfPAVlfaN4gs16jMNEksI3vTu7R2klrVzUDNUXHvU+epda1PhBbnL/pTW/CxRdfjHvuuQe/+7u/ixdeeAF33XVXr9ZGtIl7VBZLKE9aCDVs7a2ktRtOin+SAiM0rZ3rfs+5OxAOaL9YS2JrZ/3Dpi/1nj2nfwODvWaFlNLa3TNQs76ec/eoPcAOkurRBV3VDOTshPh2AwC1FtPa0yjO12sqxguZUNtia6PUrNc5GxLWJiVUzt03yFGbaPWY4jzfgtIfh9vuShdv4MmTa/j4d5/FEydWu/5cZTl8lFonynlO4mN7zku18GM8bDOCbUJNjWRpzjmstqVyXcPxpUq/l9Iy7s95L1wQimZAilDO2fnzrB3YdsWu9Ipzy3HIO8q5/9odxtHFsvPv/hTn3nP8sNjaTdOaAJDWjPqNTMXeFO1kk5Pd17dyfVirWZtyumHiq48N36bisBNbnP/kT/4kjh07hr/7u7/Dz/zMz3R9jFo/WFhYwOzsLObn5/u9lNSQVbdy3mJxniAJ2o9lM7aeR+S55j3nLhs8Q+D5zpXzJqPUWGHFLvztpncn7TkHgsUTU9P9qjr7uZwkgOe4zuecuwLh8q60dt0woBumR5no5Ka+Vdicc2stbSrnRvD4iUPgrYTyTorz1YoaGgYHWG6HpCnGTKEMK/Kjcgr8eGztEa+hrOqhoXPOetMIhKsMtnJelTV8/fEFfOhrT7XdQtEKrEjtReiOPwwKAHIZse1NNsfWnpdQkTXP67USo5z/6zOLuPh3Ph8Ii6srOkSBw2heIuUc1uurGyZODmNxXlGczcRevJdRynlWbKjCi+t15CQB+7YWUx2llpEE7JzIQ1YNJ2shDo9y3uPWHv8oNcC6hgyDcl5TrM/DWlWlvvMmlDpUzk3TdO5PWtlcY5ux+YyALz5yoq3nJuKZn5/H7OwsFhYWAt+LDYT78Ic/jGKxiEqlgmKxCFVVIUnhN6jDyszMzIaz6suaHijOE9va7RNAK6qmrjeUzKiUcs/PGyaEEFu70cJs9TBUj3Lu6+lOUzkvJ7O1szW5VQDVtqsHbO32ekWBs6xpKcw5dyvnrGBgvexZV+BOLiP2Lq1dSyOtvTVbO2Dd2HXacx5VnLc6Si1sxBmQ3NbuvkGO+lzXmtja0+k5V5w++UHqHXzoyDm8/0tP4P6nFp1i9d9ctQPX7Z3s6vOyArXbLhTDMD3OGEZeaj5K7WPfOYJDJ1bxZ2+50fP1uqpjspjBWN46xst1zQlujOs5f/5cGTVFx1JJdn4XsHrO85KAQkagnnM0rKnHzydPAR8U1qoKtoxkcb4k98QFoeqG03rmJpdpqMJn12rYNp7D1EgWKxU5lTA2hSnnk3kAwJnVWuy4VAB47mwJF0wXcfx8pafKuWmatnLuPQdkRWEoRqm5N/NWKgq2juX6uJrBptJhcS6rhjMKsRURZt1uZ7n9xgvw2QMvYLWiYKIYDMQl2mdubg5zc3OYnZ0NfC9WCj927Bj27NmDd7zjHQCAT33qU7jvvvu6s0oiNVSXbVlo1dbOlPNW5pwbrc0510PmVHc7EM4wTcfizwrTdnaYTdO0lfP4i0mUOu8o577im73eksB7FIJ2cc9BdtvW2c2N21adl4SezK81TdMeF2e9/klDCv1oIZs7zciInW14WMV5+IWppVFqanRQW1Jbu/sGOeozU28SCJdOWruKHRN5ZCV+oJTz//utw/jxiVX8z9dfh8/9538DAFipdH99vSrOa6oO00TA1p6VmjtgHjpyDt9/ZjHwdXa8sMd0W9uXyzJykhBanDPLc7keVM7zWRH5jEhzztF4PZfLcs/tz52yVrVaegoZob/Kuas9a3Gtjm1jOWwZzULTzZbG/EUhazqykpXWDljFeTOOni3j2gusTb9eKuc1xToHFAPnAL7jSS+9wP1+UUtUPOzc2u551H1v18q1ib1Hv/qKi6DqBr72eFDdJbpH7B3u/v37cfDgQaeq/7Vf+zUcOXKkJwsj2seac+4LhEs857z1nnN3enaiUWqhtvbe9ZxLHSjna1UVumFiumlae/hzRPWcs/8WeQ4ZSejIgg1Y76NHObdPyswu7x5Vk882V9zSgG1U5O2e817Z2gEroT/JmLIoWM95GIWsAE03Eynz9ZgRZ62OUgOilfNejVKbKGQwNZIdqN7B0ys1vOLK7fidn78SL7tkGkDDmt1NSj0qzlkPov/GPEl2xHpNDX3v2Si1kZylfpd8ytYF00Ws19RAHy4LBfT3qdcU3VLOs73LsxhkKq7Ni2Gztq/aG5P5lIIkm6FoOqSQUWruwMPFtbqjnAPpjFOTVR0Z0UprB9B0nJpuGHj+XBnXXjABoLc95+y5/O4Zf77MoLLuChkcpGvHIFK23+t2BRT3hm1Lyrl9DbhiZhwvv3QaX3j4eFvPT7RHbHH+kpe8BJOTXitguVyO+GliUGAXGaB1Wzs76bfSc67pjbnTIs81tea6090ZaaW1R/XYG4YJVs9lOug5ZxeSpqPUxPDXvTFKzddzbq9XTE0596a1O7Z2u/jz9JxLjZ70bsI2HDruOW/D1p4ROpttH2drZ69zkpC1OEU7qa3dPcs6bCIAYKmr0cp5erb28aKEqZHsQCnnZ1arzg32WF4Cz3E9WV+ves7ZcRbsOW+unJfqauh7zxwdzJrO+strioaaomPv1iJ0wwwU2ix3wK+c1xQNuYxgK+fDpRSHoelG2wGWQKNvFABOnB+u4txSziXLYdUDF0T8KDXrfQgW551/vlkgXFYSMFnMNB2ndnKpCkUzGsq53P0pDQz2mQqcA4YkEM4dLknKeTyd2trdv9fKtYkV56M5CbffeAG+8+PTqThUiGTEFuePPvoonnnmGXAch1qths9//vN45hmaeTfouG1hraa11+TW55y7bepWz3kT5TzE1s6nUpxH9zPrZjo95+xC0nzOOdsACE9rD45Sa/ScZ8TWLrD+G0dF06HppmMfz7kUNabuum3tuYzYk0A41gvXcc95yCi+Zli29vb/xtWKirF8lHJu3SAluXjGpagnnXOeVDmP6m1PSzlfte2uUyOZgek5N00Tp1dqjjWV5zlMFDNYThDu1CnM4t0z5Ty05zz+fS1FKOfsuHRs7TVmw7Zet73TI87vu1m1/2a/pbemWM6NQg/DJrvJv7v7Xrx//xNt/75bOT+xNFx952tVq9e0Z8q5Hh0IB1j288V1y9Y+NeLNRegEWTOQsc/NOyfzONNEOT961hKqrto9Do5LtjmbFtUI5XxYAuHWa4MdJjpIlDpMa2fnX4HnWhJh1tn42IyAX3zpHiiaga8/Rtb2XhEbCPc7v/M7uO222/DUU0/BMAzcdNNN+NKXvtSrtRFtIqu6U3yxIiZ5z3mbc86ZrT1Bz7mmmxB8yf+Wct7Zjq9i99qX61qorZ1tVLDCuZ2LmFOctxAI56bZnHNR4JGVWgsve+OHvocLt43gfW98CYDGTULBto/nJAG6YULVDKf489jaMwLW17pfvDRs7dZzt6tE9cPWbt2gRgfCAUH1MIy6asQq57phWi6PmL/PfYMc2XOuGrGj1NLoHV2rKrhkxxhEvjfKdBLWayqqio6ddqgTAEyNZHpja6/3pjhnNkdmQWewqQxx4VilmmonJRueczALKmSPyRQS9r5esLXofH3beOO1ZbZ2f5K7VZyLyGetBPlmx/Sgc/D4CnZNFdr+fWb7L2ZFnBgyW/taVcFVu8eR72HPuRQWCGefz+qqgcW1OrZP5B3lPA31VdEaG6c7J/I4s9akOF8sQeA57J0ewUhW9GzAdBvmfhkJsbWv9mAjslMaqqw4MBu7g0rHyrl9vzA1km26eetmvaY5Tqo900W89OIt+OIjx/GGW/a1tQ6iNWKL87179+LgwYM4ePAgBEHA5ORkotmPRH+xlHPb1s4ze3XSnnPr4ttKcrrmspNLAtfUEh9la1c6TBnVdAP5CFXWMOAo56w46sTW3izF1QmE08KL87ie86wooJ7wtTBNEw8ePuc5cft31Rs3Nborrb33o9TYxkCuw55zTW/9Rj8j8G2n2LKZrHGBcECywJa4XnB3iGCWD/8Z9jzMAh+rnEeOUksvEG6iICEr8ji2OBjtTqxPlNnaAWCymOnJ5gHro+y2rT1KNctlBJhmY5MyjMZYHh2j+cY5wDpeRIzmvRtNK45ybhXn/lnnrDj3K+csW4GNc6ypekDpHxZqioalktzRZ4ZtqFwxMzZ0PeeNQDixN2ntMbZ2ADi7WoOqG9g2lkMhKyInCanZ2tk5fsdkAUdOr8f+/HNnS9g7XYQk8qm5kZIS1XOeG5ZAuKqKQkbAtvEc2dqb0AiEa7Pn3L4vmRrJtNhzrngmcPzkFdvxhYdfaGsNROsk8oZed911uPrqqzE5OYl//Md/7PaaiA5RXIFwrCBNrJyznvMWClfNFbYm8nxkHyyjW2ntqt64KXWr8KZpWmntKdnaxwuSZzxaGJHKuWNrj+45z0jJrWlnVmtYqShYcFnw/BduVqTVVd25cLtv3vOZ3gTCMTdAo+e8vWJZM4zWbe0SD6XNeap1VYeiGbGj1IBkgUC1mJ7zTESIYPAxNIzZa4kKX6wp8aPUaoreUQ8tAGe0yiD1nLOE5Z2TDZVzciSbaGZxp/QqEM6twrphQYtxz8/W6L/RY8p5RhSQlXjn59j7undruK19rWL9d8lXnFdlDTlJcM49w9x3vrBs2dA7UUbLNRVZicdF20aHbpwam1TRS+U8rDhn57Pjds/+tnFrYkpabTXuEbQ7JnJN09qPni3j4h2jAKzJCeU+FOf+c0BGHI5AuFJdxVhhsK4dg0o5TeW8JVu76txnAMBoXuxp68ZmJ/QO9wtf+ALe+c534umnn3a+Zpomjh07hqeeeqpniyPawxoJwgLhWFp7ssLEKc5bTGtnFklR4Jrah620dp+tnUsnEC4sbIyZAJitvdPivJmlHXAV5xHKeXCUmlc5T7q2J0+uAQBOLVcdV0vNd+F2lHNFd9wJ7pufnNSbnnP2NzM1TW/ThaOHpP03IyPyTlJ9q7Be4qie82ILPedyTM951Pg9PzVFd3a045TzuEA4oP30Vwa7ad8ymh0YayILcdox0Rh1OFXM9GiUmvV6dj8Qjtnag2FQcc+vaobzOXdvJJmmaYVh2b8/mpOcYnu5LIPnOOy2Ld1++7qjnPvCsOqqjkJWdFprBrXv/D/8xf24/8mzsT/DivNOiq+yrKGYlbB7SzE15fxvvnsEv/ePj6XyWFEYBnMNSfamXi/S2o3Qze+M3arH2gIaxXk6BZ7i+gzsnMjj9Eot1il69GwJF22zivNCVuzpKLUo90xWat8h1kvWqipG84MXJjqIsHN1+z3njeK8lfNwqebN2dko4Z7DQuAM+JWvfAV33HEHPvOZz+BnfuZnsLq6it/6rd/CyMgIrr32Wuj6YF5kCQvDMKHpplN8CS3a2tkJoJVCWdONhq09yZxzMyKtvcOWCVULD4Rj/3ZGqUUUzklYKsuYahIGZz2H9Vx+tTZqlJrq6zlPuvt96OQqAOsEzorIhnLeCIQDLGtplHLeq5su93o6GaXWalp7KxseflgPXzPlPGkgXKStPeFxWVN0pzCL2kSrq7rT4tHJeqOQVR01Rcd4QcLUSAYVWeuJ+6IZp1dqmCxmHBUZsG5KetFzzkKOuq2cV2XNDo70Xr7ZuS8q9MddWLuLc39Q42hecqyUS2UFkyMZR0EJKOdslJrP7s6cG/kBVs4X12r48g9P4psHT8X+XEM576A4r6sYzYm4YLqIhZVqx/kqAPDlH57EVx/tbkDTWk2FaQITTDnvRVp7RCBcUDm3WlfSKvBkTXcchzsmClB1I3LMl2GYOLZYxkXbLUdJMSv1eJSanSuT9Z7js0OT1q5i3C7OaZRaNIqmO/ct7ae1W8fKZDHT0jV6rWZtoDAKWRFVRQvdsPq1//MA/vjzB9taXxhfefQk3vKX30/t8YaRQBPYZz/7WbzwwguYmZnBAw88gF/5lV/BxMQEPvjBD2JychK33357H5ZJJIUVX/7iPHFauxMIl/wE75khnnDOOc91x9YeVvix/nm/rb2d3qzEyrn9HNGj1LxfZzdrraa1P3lyzUn5PrVSxUQxExizwm5qZFfPeaYfPecsEE7qsOfcMAKbO82QxPZt7Sy8ZqIYpZxbr2+Sm7N6jKKd1NFRVTTnohn2OTVNM9Y+38rotyjYazJeyDif/eWy3FFoVhqcWa16wuAAYHKkNz3nvbS1F7NiIPTNaV+J+Cy7C2v3scqKeXaeGMmJzs+uVGRMFjPISQJEgfM8hmGYWLP/268q1xTN6jnPNrfa94tDJyzX0XNnS7E/5xTnHRRflbqGYk7E7i0FaLqJM6t1zHT4WTm2WOq6Y4Vtvjg95z3axM3EBMKdOF9BPiNg1N6gTM3Wrjayetg55OxqHdOjucDPnl6toa7quGi7pZwXs0Jvi/O6inxGCATrZofE1r5uF35bRrP4wdGlfi9nYCm7NgTb/ezVFKvFqJgVW0xrV3HhthHnv4tZK9OkpugBx8ZTC2vOtSANDhw5h69t8mT4QHF+wQUXYGZmBgBw66234qKLLsKHPvShni+MaA8n8Mtna0+6U8922VrpR3WnZyebcx7sGU5rlBrb+Q5VzjkWCNeZrZ3tlsfRUEGjRqn5es5dynlO4hP3Nz55YhW3Xr4N9xw6g5NLVVy1e8Ipuph6yNSrmqK7Rqn5es57cEFnx2beLmb1FiYCuAlL+29GZ7b2xg1q+GNbhUsi5VyJHnGWacHWzjaIwhwxfoeCnzSU84abIOOsexCK81OuMWqMyWIGKxUlNsU8DXo257yuhoaruT/nYbgL66pHObeL80xQOV8uK5gayYLjOIzmJM+c23VbVQXC5pzr9pzzwVXOmevouTPxxfnJpc6L81Jdw0hOwp4tVrDeiaVKR8W5pht44XwFmm7azrXWzodJWXO5hvLZHqa1i8FzF7tuv3C+gm1jOeezPDWSTSWQUtEaU27YOeT0ShVX75kI/OxRe0PHKc5zUo8D4YIFEmAHwg1BcV6qWf3MZGuPhxXnAs+1vZletcda5jJCS4GOpbrqcQu6s3X8x15V1nB6Jb0sjZWygqqiW/dLEfcxG53AGb1Q8F4wbrnlFs9/f/GLX+zqgnrNwsICZmdnMT8/3++lpAK7sWc3zK2ntbfec+4O6JJEvqktNyqtvePi3O5V43396w3lnD2X9TPt2tqbzTgH4kapmaFfd/ecJ1XOdcPA06fW8FPX7ADHNRQe1kvMbuCzbuVcC6a1sznn3Z7EwF7vqET9pIQdP83IJpwhHgYrzt3JpX6KWTGxcp6TwlOrxaSBcLIW23Ne9ymhYWsFOus5Z6/JREFyPg+D0Hd+eqWGHZPea9jUSBaKZnS1sLAS/e2e8x6MUivmgseiY2uPeF/XI5Rz//EykpOcv2W5LDuzpMfykkfJaWxaScG0dkVHITPYPeeHTqwCAI4tlmM3o9OwtVfqKkZyIvbYqfcnznfWd35iqepc07uZds1apcaLvUxr1yPmnFvH58mlCraON9RsK/MinTnn7Lq43c6sOB0RCvfc2RJ4jnOmGBSzguez0W2qsha6QZeR2m/f6iVrVQWjOevasVJWOg4n3agwkWbrWK595dwupgv2qM2krFcVj609LlunLGs4tRIfoNgKLMB1tdr/e4puMj8/j9nZWSwsBF0CgTPgU089hUceeQQPP/wwHn74YRw9etT598MPP4xPfepTPVl0r5iZmcH+/fsxNzfX76WkAts1bTutva2ec1dau5BwznmIrb3TE7SmW/NR/YV+o+e8cbhn2izWWrW1+58japQaK9qlFuacH1sso6boeNHeSWwfz+OUvXNZlTXwHOeoAHmpoaix48Nvawe6X1Qouleha784D6b9NyMj8m334q1VVfAcFwjgcpN0lI6spqCcq3rD1h7yGspNivM01Eznpt1O3AUwEL2DZ1bDlXMAWOni+iqy5mwC9qLnvJgNvrfNPseennNXIcGU/kYgnOgZpTZZtN7f0bzkUd/ZMTAzVQjOObdH+TGXTKfhg93gqYVVbBvPoa7qzrkzjIXlKiSBR0UO77dMQtlWzsfyEsYLEk4sdaYyHVtsqP3nu1icr7o2YPqe1m4f36dXa9g+3viMW+pr5zfxiqojY38GMqKALaPZyMT2586WsGdLwfnMFLO9Vc6jivOsyA9kC4mfUl3DeEHClpEMDNPc8EVYu7Bgzm1jubadOw3lXGzJ1bVeUz2CRJzjripb4ybTco2xANdm1+y1qoJPf+/o0I74npubw/79+x23upvAGfDv/u7v8PKXvxw33XQTbrrpJrznPe9x/n3TTTdtOOV8o+Eoo46t3VbOW01rT6i0m6bZcs95t5RzdlGPKs7d9Vw7xZppmlitKM7NfhxMOQ8U4czW7k9rt98fQeDsvrHma2NJ7VfvnsDMVL6hnNs375xj42/ctLPXyG3vLTSxw6YF26hgdvt2AwDD0v6bkRGFtpwSAJvzK8VaoguZZGNGajE2Lac4T6CcN3rOg68hex+bKeed2HQd1bSYwXheAs9xqdsTa4qGt//1gzi3Xk/086Zp4vRKLaTnPF1l/3MHXggkbrOitdVxNe1QqVvJ3346trWHBMK5lfMRn62dHQMzU4WAqlyTNeQloaGcD9gIHsMw8dTJNbz2ht0A4vvOF5aruHjHKHTDbDsJm+UEAMCeLcWOlfOjZxs27qSfj3ZwPuf5TO/S2iMC4dh1zDQbSe0AUgukdCvngGVtjyrOj54tO5Z2wCpceqmclyOK85xk3TsMerHCVNkp59zc/43dQYSdV7eN59o+h9YUDYWMGJkt9PCz5/Hg4XOer1lOMGvcHaPhuNMDP8vuJaKcJq3C2uaWm4xA/dpjC/h/PnrAcUFtJAJnwN/+7d+GYRiR//vt3/7tfqyTSIjiU0aZWpyk2DYM0/nwJi2UmVrELLlJes41wwj0DKcTCGeGKuf+QDigPeW8qugwTNMz+zGKqLFYzig13/vB+q9F3p5znmBtT51cxdRIFtvGc9g1WcApV3Hu7gnKu4KiZFX33IAAzYOk0oIVnWGJ+q0QlvbfDGszpv2e86gwOEaxJeU8Pq29WXBd1TVKLSxLghWH2QiFPpWec+YmyIrgec4OZUr3Buupk2v4zPeP4d5DZxL9/FJZhqob2BGlnKcwTs00Tfw/Hz2A+QeOeb7OVORt47muf44sW3vIjbldCEf1nK7XNHBcsAWjYWu3jhe/rZ21LYzlRY9CzqyHM1MFT8+5aZqoqTryWdE51gdNOT92royqouPnr5+BwHORfecVWcNKRcHlu8YAAGW5vdCjcl3FaN56f3ZvKTjjwNrl6GIJW8esAvV8qZvFuZVvIIm8c3Pvd7i98xMP46++9Uwqz8emzUihgXCNr20bcxfn6RR4smp4zs07J/NYWI4qzkue7JmRnNjRMf6lR47jY985kvjn/dd4RkYSYJhmYnGlX5RsVZadW7rZmjHMsPPN1k6Uc1lHPisgJ1nZQv6Nm/d/6Qnc5UtaL9c1mCYwnkA5t1oirX/HOZBagU1XaTZlhV2DvvLoyVSed5AInAHf9KY3xf7Cr/7qr3ZtMUTnsKKOpY4yRTuJZZzdpOUzQmKlnV0EHOVc5AMhaGG/47clp5XWLoYV575RaoBVrKktFmvrtoowGtN7zHBGqfmK7EYgnHd3W3OltWdFIVF42aGTa7h6zzg4jsPMVAELds9PRdY9u+o5l3Iua4Zj3WOw9PRW+pHagf3tbPxL22ntIcdPM9ptYwDYPO/497yQuOfcaD7nPGadmm5A0YxY5dwJ3suE2/ALTrp8++83e03YhtfUSDb1GyzWw/bMqfVEP3/G/nm/cs5u3tMYp1aua6ireuBvZUXrtrFcj2zt4WFQQLxyPpaXUMx5N5IamznWcTFmK+emaWKlEmdrdxfnjcdTNAOmaV1HeJ5DTurNNIhWYErLi/dNYe90Ec9GKOfMjXT5Tqs4b7fvvCI33A4XTBdxcrlTW3sZ110wgZwk4Nx6N3vOGxuTzAXhP76/9/QiHnkuncRtf2aOG3fBvn083eJc0w0Ypum5Nl62cwxPL6yF/uxzZ0u4ZMeY87VO55z/04Mv4FP3P5f4561QruB1hJ0D2t2I7gW6YaBU13zKOdnawyi7lfM2N3+qckM5B4Kf31JdDbTGMIdUWM+5/z7H/d9phcKxorvZhjpT2L+6AZPdA2fAl770pbG/0Oz7RH9RHFu7rWS3YGtnO78jOSlx/zcrsERXz7lhmrG/b4TY2v0hbu2g6VYgXFA5bzwHI9PGaC3nhBUSxuQnOhDOcNbhXqO/5zyJcv7kyVVcNTMBANg15VXO866bd563ZiLXVR1KjHLe7bAf59gUOy3Og86LZnRqax/LN1POhabKiW4Y1kSBJsp5nPOEFTnsohn2s+wiHtXbLvA8cpLQYc+5d8OiG6m77EL/9KngDXLoz9uWOn/P+ViKtnvWVx8ozmsN5bzbaclui7QbSbCCLiN7zmsqRnMSRrKiZ/SZe1MWsFTAck3Fek2FbpiOrd1tdwcaqupEIeMpzpntkWVd9GpUYys8abuOto/ncPGO0UjlfMHuDb/MVs7b/cyUam7lPA1bewkXbhvF9Gi267Z29jmPyg9YryrOTXKnKFp0cc5xnLOx6be1A50VeGFBqddeMImjiyXPhhQAHDm97mS9MEZyYkeZBMtl2dnsSkJVtjIM/DBRpt32i17AzhVWXon13g1CXskgUqlrEAUOk8VMB2nt1ljLqLanck0LnEPYMe92iUZl1biL8zRC4RRNdx6z2WeanXcePbbs3P9uFLozf4PoG0rEnPMkNifW0zKWFxPbojSfKi0l2AzQQgK9BJ5PRTnPOMp54/n1EOVcEltPNXXPdm4Gx3EQBS7wOqqa4YQ5uQsrJ62dzTlvcoMvqzqePVPCVfaYl5nJAtbtG+qKrDl95AxmaZK1YHHo9JynWFSomhHY6VU0az45z3MdBQAabdva25xznlA5b3bjXncU7fbnnLPXlG0QhQfCeXMnotbbUc95RfV8DraMZrGUsvrRqnJ+2v55d1gUYG1OTRQzTfvXknDevonx30yuVxvKebcL0YqshYYTchwXWwiX7NnC/mO1rniPl5GchFJdczYgmLrltrsDjcKtmBNRV3XnHFZnm0P2cd6rXuVWOHRi1XEdXbx9NLLn/OSyVURfuoPZ2jtRzq337IItRazX1JaKMTemaeL5xTIu2j6CrWO57gbCuT7nUfkBa1XVaevoFHbuk0KKc6Cx4bg1ZVt7Iyi1cc68bu8kTLMxco/xoxdWAFjFO6OQFTvKJFguy1ht4TWs1MNt7UyUGeRxauxcOZoTkRGtefXUcx5Oqa5iJCtaM8rbnnNujd2Lal8s11WcX5c992ONrInmyrn7WpJGgeze6GumnK9UFFwxMw6B5/C1xzeWek7F+QbDuTG3LzIsOCtJ4cs+dKN5KXFYF7shY0omez5/T7X3d4KBXgLPOb3h7cKKvyhbe0A5b/FCWgqx+sQhCXyocs4uqu7XiBXxPMchKzafVXr49Dp0w8RVu8cBADNbrPFRp5arobbXXEZwes79qkQ3es7v/vIh/OL77/F8TdF0ZITGplFYv3QSwtL+m2El4Ec/38e+cwTv/ttHQr+3WlWbbsgkGaXmT8X2IyUYpdZQzq33t51RatZ601DOG69JN3rOWf/ac2dKTSdAAFZS+9axXOiN/dRIJhVbOyuE/Mo527ibHss6mzBuji2W8WdfebLj5wei+00B67McVZyvu4pztwrjD4RjeQasL5oVP2MhtvaJYsbZKGKKGHt+VszlMwKqAxYId+jkGq7ePQEAuHj7KI4tlkPPRwvLVWwdy2HK7o1tx7qs6QZqiu4onbvtc3W76vnZtTqqim4p52M9VM4zQeVc0XTUVR3rtXQ25uJs7UDj3Lnd5Y6ZKGQ6dsb4HYcAcPmuMUgCjx/bxTjj8eeXceG2EU8OSachm8tlBWtVJbHyXomY2MA+w+1uRPcC1gLEwsZo1nk0FXvKQz4rhuY9JKEq28p5RPviek2FYZpYdhXCYbZ2UeCREflI5XzrWM7ZIO8Et1re7Jq9WlWwd7qIWy/ftuH6zqk432CwXiN2kXGU8wQfardlNsnNMOCytQuNnnMgvm+2W2ntUbZ2ttHgVs6zbdjaHatPC8V5WM+5U5xrXnVfEqwU9azUfM4565m8csYuzqfs4nyliqoSvHlnyrmiGc7GDSPfhVnET5xYdfo1Ge4ROZ2835phtKycW+9F9N/3wDOL+NfDi6Hf848UCSOJct5sxBn77MR99th7lM+Ika+hU5xHKPRJ1xvHaoitPe1RZWdWa9gymoWqGzi6WG7686dXgmPUGJPFTCqBcEsRxXmpZlm8CxnRUY7dfO2xk/if//h4Kn351liu8OI8Lwmhzw9YN8VjeSkQXugPEByxN35eOGcVjyxQz99zzlRVFk7HLO/+46+QGSzlvK7oeO5MCVfZxflF20ehaEZo+NfCchW7pwodFV/sd9h7dgGbdd7mODWm8l+8fQTTozmc72rPuYoJppxng9cJppinrZxnhPBzFyvO3YFwzBnTiXOnMYK28bwZUcCVM+M4eNxbnB88vuKxtAOdFeemaWK5LEPTzcTX4MhAOMfWPlibYW7YscKuqVtG088r2SiU6yqKOdHZiGnH3VhTrAyiaOXcOmbd55GGrd0rShSzwak0bMPykh2jqdjaWb/5rsm88+8o1qrW9KRfuGEG9z15NtCCMswkKs4rFesiraob5w/fqDA1WLJP0jzPgeMAPUEh6u45T1o4+S3jrGiK65vVDNOTnM5+v2tp7SHKudRGQBi7qDDVshmSGFTONZdy7i7CrDA7a30Z0bL4xynLT55cw54tBUe9ZEXJwnIVVV8gHAAnlMkKhOMD3wOQ6g30yaVKYLSMqhvOcSl2UpzrpjMdIClZKb6NYbksR94Y1WKUSoZfjQx9nCbFeSaBcs6KqkJGsNsmQpTzJqPUrN8XO5pZvFrxK+fdCYR75ZXbAQDPJOg7P71aw47JiOI8pVnIjnLut7XXVIzZs6DrIaOM2LHxxAnvjX47VOpqaM85YCvncT3ndiCcu4iQVd0+b1rHH1PCHeV8tBEIV5E157zENmhGfMo5O0aZ0prP9mY+dlKeObUGw2y4ji7eYY3ECus7X1iuYmaLqzhvQzlnrwt7nbaP5yEJfKLE9vWaiq8+5lWEjtkbVfu2jfRIObc+52E9q0xha9ei74dtoEbZ2rOSgEJGCGxOdercYRtK/mvjtXsn8WNXcW6aJg6+sILr9k55fo5tULWz4Vmua845P+nr6A4YdMN65ge5OPeLHGnNqd+IlOsaRnOSI6C0c3zVFA15VyCc+z5P0w3n2HefR9aqKjgOGPFdZ8I29dm1xCrOO7e1s030i7aPNt3wX61Y7q3X3LAbimbgOz8+3fHzDwqxd7j33Xcf9uzZg3e84x0AgE996lO47777erIwoj0c5dx1cRMT9nOzQLCxfOvFuRMIl8BGr+tGqK09jZ7zsOLcmXPeYVo7U8eShpFJAh+cc66bzknS33POXsNG31hccb6KK23lx/odAVvHco6tPR9SnMtOIJyv5zwbvOnqlJPLVVR8Y4f8ynkSN4cf0zShG6ZnoyUJzdLal0py5IWvquihybhuRnItKOcRirYkhif8+9cCAPmsaB9fMcp5k57zzmztqkc53zKaxWpVTey4ScLplSpefOEUxgtSor7zM6vVSOV8KmXlvFz3zlVet8PWsvYoI/+mHHutD77QWXFuGCaqio5iRChlPhOdV8Fs7UVfsnRN1T3hgczK+MK5MrIS72RSsJtpVmyuVRVMFDJOoeRXzvNu5bzLYZOtwHqImXK+d7oIUeBC+85PLlUxM1lAPiOA49rrOWevCyvgeJ7DzFQ+UXH+V986jF/+s/vx/LmGc+TY2RJ2TuaRz4jYOpbDUldHqTUcMk7Puevmfs1Wtsp1LZXPPnOTSRHOqJzEY9t4Dpzv/N+pNboRVuq9tl93wQQOnVhz/rbnz1WwVlXx4n3hyrk7MDEp7nUndSBUo2ztmcG3tbMWiFGnOE+/JWqjULHHZjozxts4/7D7F/fUHkbJdR1wZ1ew65lfRAvLqmHXkkt3juH0Sq3tLCEG6zm/cNtIU+WcFef7to7g6j0TgY3MYSa2yti/fz8OHjyI2dlZAMCv/dqv4ciR5LMYid4T1jslCskKIXbjP5ITExfKjSAz6/nYRbUftnZFi7C1O8p542czQusBYUwdS4okcIHXQdEM5ybH03NuNNRgVjzHre/Jk6tOzyRjZiqPhZVaaD8a60W1AuGilPN0ivO6omNxrQ5ZNTx/v7s459sMAGS5BO0EwsW5EWKVc3vnOY5EgXBNFG2Bt9K2423tLuU8YoOD5Qr4L6xuilmhs0A43+x3lrrb7GKalIqsYa2qYtdkHpftHMPhJMr5Si0wRq2xvmxKPeeNQsh9Q8nGlDXG1XjfQ/a+/fj4akfPz9xNYTfmAGLHlllp7WLgWJVV3ZmRDjQU3hfOVzBZzDqFECvCS7WGlXm8kHF+nh1P7tYLwDr3DNKc80Mn1rB3uugUB6LAY+/0CJ49E9wAOrViKeccx9mbGq0XX2wzwz3lY890ssT2bx08BQD4mmtU0NHFMi7aZqn9W8dyWK2qsS07nbBWVTFuf86dtHY5qJz7/90ujbT2aFu7OwyOsWW0s+LcsbX7zs3X7Z1E3Q5fBYAfPb8MAJG29nayFdyq8WoC5Zxt0IXb2gdfOV+vaZYqa59PyNYeTammWj3nEUnpSajJXuXcfYyWXZ9Zt3K+XlVCW/mKWSHgsKzI1vt50bZRqLrRcfL+SllBISNgx0RzW/tqRXHabl5z/Qy+/vipVAWCfhJbnL/kJS/B5KT3JFQuN+/9GyYWFhYwOzuL+fn5fi8lFRTNSkJ3q7sCH3/Dz2Af/FZ6zgNp7aznvImt3Z/WzqfVc27bM93rN0N6ztuxtbPdxKSEjWuzbO1hyrmrOLdvEKJmna/XVJxYqjq2TMauyYJtaw/vOZdV3bGwumEjatKaz7zgsja5C0C/ct7ODitTilu1tTdLQl8uK6FFjWmaqMp6IP3eT5JAuJqvtzdqnUkC4fIZEUKIMwOwdsbjVHMgHeV8wmdrBzpLTHbDUl93TRZw+a7xpsq5bhg4u1aP7jlPSZ05X5Kd4sB9E8I27thn139zzI6NHx/vTDlnKkWYpRVoBD+GwTYQChnvxkxd8Svn1rnj+LmKs+lifV1yHgewVNOJYsZVtDNbu3cTqjBgo9SePLnqTLlgXLwjmNheqlkp5LvtPA9/r35SnPfMZcXePVVs2nO+WlHw8LPnIQm8J+zo2GIJF24bAQBM2y0H3ShudMPAei0krd2tnFfV0H+3C7teRgXC5TOCJwyO0WlbjayFP+81e6z73x+9sGz//wp2TuaxzTcRwlHO5U6V8+bFeWODLlic5yLOP91kca2Gd3zi4cSjSlnhxzb9KBAuGjaZw9n8aeM8WlWs+5dcSFuK2+nhLs5L9XAhKuy+gc1R3+0KJe6ElYqCyZEsJovx12xF01FVdEck+IUbdmOlouDAkXMdPX8vmZ+fx+zsLBYWgknzsXe4jz76KJ555hlwHIdarYbPf/7zeOaZZ7q20H4wMzOD/fv3Y25urt9LSQU5ZI510v7eqqI7fSbt95zboVYxv++2cDOsYq2zHS9VMyDZae3u5PewUWpZqfW516UWlXNR4GOVc81vaxd8tvaI9bGT396tI56vz9izzt1jexisF1UJGaUGsETldNStky67prc41zsOhPO3USQlbv6rrFpzNVXdCH2/DNMMtAn4KWRFKJoRu6klq15FMXyd8UGFjnKetZXziOI8bowaW2+7ynldsRKax13K+ZaRdIsElvq6czKPy3eN4fDp9dgk4/PrMnTDjO45L2awUkmehhzFUknG5fbMa/ffyvq5o2bJss/WM6fWO1I5ma06LhCuWc/5SE7yBcJ5zwlsA/LUSs3ZdAEatnZ3n7HVc87CsJit3ddznhEHqjg/FOI6umT7KJ476xUeWKAlC9scyYlt2dpZOvWouzjfUmh6E3vvoTPQDRO//XNX4PtPLzoq0tGzZVy0vaGcA8C5LoTCsbF5E/Y1jxV+VU87R6OYXE+h77zZKLX/8e+uw3+ZvSbwdcsa3f7zKxHjJyeKGeydLuLgC6sArCL9ugsm/b/eUc+5pzivNC/u2XMUQ84BzuZgD23t//rMOXzinmdxdDF8HKGfkk/kYD3nUefmheUqnvKNs9sslO18kXybtnZNN6BoBvJZ0bnvYOdnoGFrz4h8oOc8bCpRIRMSCGeLQbvsa2+noXCrFSvkbXIka+cxhF87mP2dFefX75vCtvEcvnVwePrO5+bmsH//fszMzAS+F1uc/87v/A7uuOMO/NIv/RJGRkbwgQ98AH/4h3/YtYUSnRM2x1oQ+GRp7fYOWNKfBxpBc6woZ0VTXJGiGyYEn/LZ1UA4+5+eUWohSerNSJLa7SasJ9gzSk3zFec8C4SL3/1uzFv3rmXXlKWc1xTd2QBgOMq5Fty8AWAHWaVzA+1WhNw7s2mktfudGknJxDg63DdH/sKG3YgmUc6B+LTeRi949Gk3bEPHsx6XKilGfE79SmjUetvdjGE35P6ecwCpBfuwYBmmnJfrWiD9383p1Zrz82FMjWShaEbHwWRLpTou2xkszteqitNzDiDwWarIOiaLGai6gacXks1tD8MJBIwMhBNDlXPDMFGqa65Raj5bu+uakZUESAIPwzSdpHagUbSXala2QKmuYbyQQU4SwHNcYJSao5yHWCH7xXJZxumVGq7e43UdXbxjFM8vlj3XLbbJyIrzgq9XPykN5bzxeWHzyeM2i7558BQu3zWGt//MZdANE9/60SmsVBSsVBRc5FPOuxEK58w6tpVznrccVu78gLSVczVCwWbcevk2XH/hVODrnaqvYVk9DBYKZ5omHn9+BS/eF3x+dr31h6AmYbksIyPyEAUuUWsAK47ClPN+2NqX7SJpcS3ZMehvD9wyYk3kKEW8dn/w2R/htX/y3YG26neLsj1Krd1pADXX/Us+pH2R3Z/t3Tri2eBbr6meGeeMqEC4kZyIbeM5CDyH0x2Gwq1UZEyOZBzX1mqEtZ1tVrrPT7devg3/+szwKOdxxN7B7d69GwcPHsQPf/hDHDx4EA888ACmp6d7tTaiDRRVD+w6J7UQVxUd+YzQkuU4YGsXko1S8xdXnaR3A5b9WI0apRZS0LVja2fKU1IkwauCmqZpj1ILsbW7e86leAs2O6GO+Cz2M1MFrFQUZyfTTd62liqagUyEcp6WuuVRzutu5dyAZI/Iabs4t1+zpKF8jLibFneR5Q+uYmOpmvecN+8JazbnnK0zriXE6n8XwHGcrZyHBcIZnh7i8PW2X5yvVtnmUKNwY0Vcarb2lRomClYhyZTqpxei+85ZMR83Sg1Ax+Pelkoy9m0bgSTwHlu7VahKjdAd32eppmh46cVbwHHx1nbdMJw+4zDKjq09QjmP+Bwzxdcapea1tddC2iBGXUnK/q+V65pTiI0XMuA4DqN50VOc5yTByTzIZ8SBmXP+5EnrGPIr5xdtG4GqGzjp2gBaWKmB4xobPsWs1JbbpFy3ko/dG3xbRrKo246dMEzTxLd/fBo/c90uzEwVcP2+KXz1sZM4ZlvvHVu7rZyf70Io3Jrv5hewHVZu5byqONerJP3SzWiMUmvt/D41ksVqVYmdcBIHc1SF9bpfd8EkDh5fwemVGs6t13Hd3qByzvMcCk3cZ9/80Sm8+M4vB+6tlkoytoxmMV7IJHoNWe5B2AZdP+acs3NqK8W5+z6qWUvUC+cqWFyr458PvNDhSocPNjYzypHVjJrr/oXnOWQl3nNtYq1IF24b8draa2pgjBoQnlVTqVv3mwLPY/t4rmPlfMXuI58sxm/4s6LdvYF86+Vb8cOjSwOzGdwJsWfAX/3VXwUAXHfddbj66qt7siCiM6w51kFbe5Ie8po9HzvpzwNBm3GinvMIW3s76d2Nx7R+N1w5D09rb9VeuhYRkhGFJPKBWeZA46LqCYTTQwLhYuypAAIbBTMu1dCfLp5lc87V4PHBvp/WzvSJpapjhXQHQakpKOfO8dZiIBx7TcM2PNwnf7+y6qSjJ1TO45QTf4p1GM16zq0NNOu5rKDHMFu71lQ5L2TaH2/FFDV3z7ko8BgvSKkV56dXqthpH897txaRlfjYvvMzKzUIPIfpsWzo9ydHOlf2Vc3AalXF9Gg2EGLkt7UHlXMNW8dyuGjbaGxxvv8HJ/Hv7r43Miys4mzMRSjnkuCxLbrXB8BRzt0tGFYgnK84tx/fXZyz51yvqY1joGh9zotZ0dk0rNmbvAyr53wwbpbYxuGFdqAa4+Id1gaQe5zawlLFGntmn7NGcu21gpRlDSNZ0ZMwzo7TqDaQQydWcXqlhp+5bicA4DU3zOBbB0/jmdPWZ+BC29ZezIooZISu2NobGzCN60wh651Zv15TsXuq6Py7U5rZ2qPYMpKBaQKrCWzh4c8bnQdy7QWTWCrJ+PrjVl9omHIOWM6IuOPjkefO47mzpUBg1nJZwdRIFhMFKVHPOXuOOOU8KneiG7Bz6tm1ZEWZX5V1XFcRn4WFZesz++GvP91xW9KwUamrGMmJjjPDf3z98OgSvvDw8cjfd5x/9v2gv+2JtdxcuHXEm9YeZWuPUM7ZsbhrstDxOLWVcqPnHIgOmWXnpwlPcb4Nqm7gB88tdbSGQSD2DPjggw/iAx/4AL72ta/1aj1Eh8iaEdj9jbK/+qnKmqOct5/W3rznXDeCc6qFNtO7GWwzIG6UmqfnXIyfex1Gqa61YWv3ppUDiO45d2zt8T3nJSf913tx3jXVUA0DyrlkBUXJmh56A5JmINzJpQoun7Fso+5iVdFdae1cZ8V5q7Z2drMXXpw3Lkp1XxHBlPRmxXkhwRzSumqA4xAI5POsU+DilXNZcxQ4K/gwXDlP0nPernLeUNS8n4UtI9mOk1oZp1ZqTg+bwPO4dMeYU5iEcXq1hu3juUhHReNC3/762HEyPZoLFOfrVQWjeZetPaTnvJgVce0FEzgYU5w/eHjReryIQodZWqNs7VHKubs491skwwIE3WOOGKJgjVVjQWlAY4NmJCc5n/W67e5w1pQdnJ7zUk2FJPCBzYg9WwqQBN4TCndyueqEwQFWj29bc85rKkZ8143pUaZ4hx+P3zx4GoWMgFsv3wbACjtar6n4u/ues/oxXTeklkU+feV8tRqhnLtcEGtVFVMjGRQygnNe6AR27ouytUfRaSAlu9b6x4wCcJTyT33vKCaLGezZEt4602wCxnF7w+3MqreIXS7LmBrJYLyQSdQaUI2xtXMc15bw0AnsnLqYsLXC70Bk55iwa4dhmFhYrmH2pXtw6MQq7jl0JoUVDwemaaIsayjmJEgiD0ngA86+j37nCP7jX/1rpJW8cf/CJmd4257KNRVZiceuqQLOu9Paa+FCVFhWTdVVnO+czDt5Me2yYvecNybAhH+m/T3ngDUec7KYwfefXuxoDYNA7Bnw3nvvxX/+z/8Zl112Gf7P//k/+OhHP4rFxeH/ozcySkjxlbTYrtq9ykmLeSBoa2f/H6e8dyOt3SnORT5QtDjKOde5rb214txbaLF/N5Rzt63dHQjHVN5o5TyfEQIbHO5+W/+FmynnshrcvGHfj5ur3gonlqq4YpdVnAds7R7lvPXnczaDWizOswmL8yjlPKoYYhQS9ISx3l7/jF43khgfVFhTdSccRhL50NdQVvVESn+7gXBrIbZ2oBHskwanXMo5AFy+awzPxIxTixujxtYGoKNxaqyQ2jKa9WxEsH7usbzk9PX5N7qq9jib6/ZO4onjq5EK0IOHrX65qNFjLHQtUjmPmHPOiv2xvOQESVWcYjoYIMhaZiZHvE6E0byEUr2hnLNQwJGcSzlXg8r5oIxS81tqGaLAY9+2Ea9yvlzFLldxXsiIbfUUl0MCOplaGFVUf+vgKbziqu3O+3LNnglcMF3E959exEXbvUGg02PZrijnqyGbcIVMUDmfKGYwXswkUn2bwa55vS7OFdUKww1zZO3ZUsBEQcIPnlvCi/ZORp6/izkpdvOGzbX3Fy9WcW7Z2pNscLDzdmTuhCT01NbuKOerCW3tVa9lOu69O7deh6obmLv1Qlx3wSQ+/PWnU1jxcFBVdJhmQ4QJ2/xZKcuQVQN/9pUnIx8DaLTU+DdvS3ZP+9axLFYqivP5W69pgc13aw3BTf2yq42STQzqBFacTzitaBG29qoCyd4wZvA8h5sv24oHnhn+OjX2DFgoWBem0dFRrK6u4o//+I/xG7/xGz1ZGNEesmoEdn+FiN5UPzWZ9Y4kL5T9SqZja9eaKOchtnYAbY3XAhqFrhiT1u63tccplGEwdSwp/g0ApzjPRIxS45mt3bamRSjZ5boa6DcHrIs1U1TCes7rim5t3oTZ2kU+FVu7aZo4uVTBZXafsDvd2G1rFwXve5QUzbG1tztKLaTn3HXy99tvawl7zhtzbqNvzlgvbuw6mwQV1mTdKQCje86TjVLTdLMthWWtqoDnuECBOJXSuDIgWGw3G6d2erWGHRPhihZgFaU8xznhRe3ACim/rd3dzx0VCFdVdBSzAq7ZM4mVioKTIWO0ynXVmYMedRxV6hokgY+cA52PmHPuKOch4ULWppH388TGqbmVc+vrEko1LRAWNuIqTGqyd256LiNCVo22+4Gj+G+f/iG++tjJ5j/oolRXMZYP/yxfvN0763zBp5yP5Npzm5TrWmAEZ9wItPWaigNHzuFnrtvlfI3jOLzmeivR9yKfJX96NOdRvdJirapgJCd6zrX5rLcdhrV6jRcyKc85b7U4Z5kX7X2+Zc26bworvDmOw7W2en7d3nBLO2Bd1+M2b1iryumAcm7Z2scS29qt1zkqdyKT0rU8Ka0q5/6RtIWs1VMd9t6xDIjdWwr47Z+/At86eHrTJLezFia2mRrmQFqpKBAFDp+457mAIwNw3b/Yx4q/7alcVzGaExvjQe3z0XpNCR0bHDVKjd0L7JoqdBQIZximk9aeEQWM5MTIe4pVe5Sn/zN76xXb8PCz53vqHukGsWfAX/7lX8Yb3vAGXHfddTh37hy+9rWvYf/+/b1aG9EGskudZIhCuMLmp6roKGQbtvYk/T26b+60EwgXUfiaphmZ1g6gbfXcnfIa6DlnxbnrM9zqBcyddpwUSfBuALA1shOlewPDCoSzbe1slFqEkm2lxodfmGdcM3ndOMp5xCi1bEq2djYvfO900Zqn7EprdyfFJ90w8tOprT1MUVguy87FxR9cxf67WVp7QzmPfg3DenuD6+Sa9JxryNv9Y2KEBb4WooT6KSZYbxSrVRXjBSlwUfRbvdtFNwycWa15nCCX7xrDUkmOVBrPrNQiw+AAa2Nuosnc1Gawv216LGcp5+xGxr6h9vSch9jaC1nRscj++ETQ2v6D55ac4zsqQK3suhEKI9usOM9LgRaMsDYIdmM25VPOx2zlnPUBsvNQMSc6/Ys1tbGBBDQ+O/WUnDmMzx54AV965ERLvxMX6nnzZdvwzYOn8V/+/geoKzoWlquYcVmYiznRKYxaoVJXA2OvspKA0ZwYamu/99AZaLrpKc4B4DXX7wbQCINjTI/lupTWrgbcMYWM6LHWMhV0LC85QZGdoGoGeI5rOfCzY1u7Gt7uxWDj0168LxgGx/CPKHSjG42wwTO+4mXJbWtPmNbOcdGtVrkUXXBJYEX1Yis95z5VNmpOPdvEnJkq4JdefgF2Tubx4W9srHHOgLVR+ro/vceTNdJoX7ReK2uMmff4Wq0o+OVbLkRW4vHnIeq5//7Fr5wzoacx9UG2pvqoRujY4GJWDLgLWSAcAOyazGO1qnYwCUa1poTYn2c2AjWMFbs493Pr5dtQU3Q8dmy5rTUMCrFnwCNHjuA1r3kNjh07hj/7sz/DFVdc0at1EW2ihFxkkirhVhK02FCxExTnLJCqkdbOeb7uJ6q46rg4TxAI577gNwve8sNuPP03K3FIotdez9bICiPNV7j7A+HibO1RN5i7XGN/3LBRaYqqh6oSuUzrPfhhsMCl3VuKgYAcy9aeVlp7i7Z2u1gIs4wvlWRnU8Nf2Dghbk1s7Y5yHmPfTaJoN0vsdY/Ji+o594/GCqOQQOmPYjXiotjpOCMGm1nuVs6vsDMMotTz06vxtnZrfZmObe2SwGM0J1obEfbfWnJZxtm5NywQrmjPgp0sZvDjF4LF+YOHzzk33FHvS1UOTmJwEzUScd0pzsVAC4YVIOiztbOec9/7PJKTnJ7zsbzknFNHXWFpddcGkrWm9o+1OCqyhiMxOQRhxJ073/0LV+L9v/IS/M09z+In/ufXUK5r3p7zbHu29lI9fENly2gW50Ps6N86eAqX7BgNFOE/ccU2XHfBJG69Ypvn61vHspG9652wVg1+zvO+FgXWm5o0zKwZ7nGbrRC32ZH0eeM2NNmm2osiwuAA65xajjjGz6zWnXN1UDmXsWUki/GClLDn3DqXRNnrsxLvjIbrBStl67yYNK097DO4JeLasbBcQU4SMD2aRUYU8PZXXYZ//NdjOLZYTmXtg8LhU+v49o9P4+Fnzztfq/gmc4SNpFypKNi3tYj/9LOX4+PffRZnfceW3/mXsx2UjFKN2dobUx8aLVDBa7w/TBQIBsIBaDsUjt37MAfo1Eg22tZeUZzgYTcv2juJYlbEA0M+Ui32LHjXXXfhLW95C/L5+JseYnBQ9KCtPcr+6qcq6yi4epmT/I4/rZ3drEXZ2v0/zxDsC43eZhpnq4Fw/rC2ZjRsofFFmhvJZ1FmxXY+xNaue3rO45VzNvsyDGcmr29XPddEOU8rEI7NON+zpWD3oXYrrb1FW7vAlPPg37hclp2bcP/FjxUU+SbFblbiwXNc01FqzRTtnZMFnIrp2WKhjYClnIc5YpLa2oHW56YC1k17WD9aWj3nbBSLWzm/ePsoeI4LLc51w8D5Uh3bxnOxj2vtwnemnE+PZcFxnFVYleowTdPTzy3wVnCP+7OkaDo03UTevqG+bu8kfnxiNfD4B46cw0/YhVfUJk+5HuxfdpPLWNZHv+upVFNRtMfdsEKx4lLO/SpcWFo7YCnvLK3dXbgVcxLK9liequJTzrPtjQGKwzBMlOsannX1iCehFGIxZ3Ach9/82ctx33t/zskn2TNddL4f1m+ZhErE+Xp6NBcagvWj51dw82VbA1+XRB4P/NHP46ev2en5+tax7tna/Z/zgs9ay9T18UIG6yko5+7Q0FbZOpZLVCDWFT1w7ZfV8HYvxutedgH+5jdvwaU7RiN/Jq7tgYXBXTBd9PScK5qOcl2z09qT9e0326DLiOlNXmmGaZpYLiu4ZMcoFtfrTdsSFU1HXdUD2T1TI5lw5Xy5ipmpvLMR8Rv/9lLsmizgP/zF/W1npgwip1eta767qC35bO1WGJvf1i5jopDBb776CmREHn/+1ac832/kE4SntZfrKkbzojOS8dx63XM988PuK92vvT8QDgjmKiSFFeKsOI+7Zq+GbB4C1r3hTZdOD33feexZ8E1velPga5TcPtjIIcpo1MglP1VZQz4rNgrlBMWT5tjavT3nUYVvo2c4ZeVca6TGC75RcFG29paU84jxZXH4be2aTzmP6jmXhGgLNhAdagQAM/bJ0X/xzmUEaLppWZ5DbkIyIp9KcX5yqYKsxGN6NGeFjvkC4ViR3Ou09kzM7PjlsowdkwVwXDAQrqboEAWu6WgfjuOapvXWfXbfMHZOxKed1lXdeW/FqLT2BL3t7BhkFtXVioK/u++52N9hWDftwYvi9KilfrSbG8FgNyi7XEp4VhJw4bYRHA4JhVutqDBNOHNRo5jscPPgfKmOLXaxOj2ahawaqMiaS5W2PpN+9dqfrnzNnomAcq7pBh5+9jxuvXwbMiIf3XPexNbOimz/xl6p3jhn+F0TlqU3PK190tdzPpYXbeXcW7iN5BqqYV3x9px3Qzlnn7OVitJSK0WSUM+r90zgvt9/Nf75/30lXnrRFufrxZyEsqy1PM6pbI9D8jM1mg0tqk+teHvdmzE9mkWprqU+Pms1xNaed83yNk3TLs6lxP3SzVBC2vKSsnU8mb3/F//0u/jgv3gtwGFTbtzkMyLuuHlfbJhnIRud5s/syi+7ZNozcoydj6Yc5TxZIFzsBl0Pbe0VWYOqG7h81xg03Yy0IDP850pGlOtqYamKmanGBtl4IYN/eNcrcGyxjN/86IENM1qNXfPdropKiK3d3VJSUzTIqoHJEWt6w2/+7OX4+HePeF7HmqJD4DnnnpJt3jKY0FPMiihmRZxbl51NtjBbe5jjruIOhJvqTDlnhTgruidHspHH1Ko9Dz2MW6/YhgOHz6Wec9JLAmfBP/qjP8Lhw4cBAO94xzvwa7/2a57/vfvd7+75IonkhNmzkhZCVUWzlXNmTU9ua+d9tvaonvOGLTnlnnPXCJaAcm4GC7qMKEBpQTlnvWCt2trdrwMrDBvKubfnnL12HMchK/FQYgLhohT8K2YmMFGQAhdvd+BTJkI5T2O3/cSSdWPJ8xyKOa/Nz5vW3t7oPGczqNXiXIy2tVuBPJnAxQ9gn4lkbolm48nqIUWQn12TeZxZq0UWuH7lPOwzWm/SPwk0jkFW5Hz0O4fxWx9/yElojiOsFxWwel91w8RyB+o0YN2oiALnWO0YF0wXQ5Ng/Va4KKY6VM7Pr8tOb94WV6CXY2u3X5Os5LUOVn3qxXV7J3F0sewJ0Dp0YhXluoabL9saO4O+qa3dPr5qvs/yeq1RICYZpbZzIo8dE/lAwTKal1Cuq4FjYDQneeacu5077N9pKudlV5bFkTPJre2lkLFmYeQzIn7uxTOeYqyYFWCarf8dUW6H6dGgHV3TDSyu17FjMnlx7rakpslaNWgbLbhu7uuqDlU3nEC4NIpztU1bOwBsS9h7//xi2VGyGWFTblolbgLG8aUKJosZXLJj1LP5ygop1nMuq0bTTRZ3j28YGSmdjfYkMKWTtR016zsv2e6awBjO0fCNU0s5934Wrto9gb9++834wsPHcfeXw1PKhw3mlnMfG848e49y3ji+GiqzdS16/U17UVN0PL3Q2MCu2qNX2XnM6jlvPEbJtXG4dSyLc+t1T5uWH/+1g/3bfW0ZL0iO+61VnL/J3XMesaEe1nbDuOXybVivNQJWh5HA2eixxx7D6dOnAQCHDh3CT/zET+CVr3yl8789e/b0fJHdZGFhAbOzs5ifn+/3UlLBSmsPBsIlSmtXdCetHUhWKBuOTT3ZnPMo5ZN3nrO9nS5WdDFbu7tfnj2ke5SaKFhW/6QqX3vKuVfBZ4V6VhLAc8HvuUPy4sahxPVNzr50N5744C8GbN85qXExD01rT2m3/eRSBbu3WDvdI1nREwin6l5be3tp7Q2HRCtkYtwIrOcvH1IU1WSt6VgyRrPxZJaiHb/unZMFaLoZeaNdU3RXcR7empEkeM6fLr//Byfsx2+ubq5G2NqdIqHDsU6nVqrYMZ73TFcAosNh1kLmnYYR17+WhKWy7Nj/mIK+VJKdInvEfk39yrlzk2V//1o7XOoJ17zzA0fOISPyuOHCLbGbPM1t7SyQzvv7bsWYbWAyRT+s3eJXX3Exvv8HPxd4fCutXcVqxeuecM8Ar6ua5/hjeQ1pjlMruRTKVqzt/qToVihmrd9r1U5broefr6dHcwHVf3GtDtP0ukaawWampz1OLWwTLu/qe3UrbElndDfD7a5qlW3jyWzt6zXVs7kDhE+5aZXY4vx8BRdMF7FzIo+za3XnPqdRnGcdpbLZJkcz5TwrppMfkwS2fjY69WyT198Jz8wFlfOwFo+F5Sp2h8yVn33pHvz326/BH37uR/jOj0+3tfZBghWz7uKc3XOywrfgC3Nb8V33ttuBqO7PALunZ+R8gaHu68L0qLW5tVZrBJz6aSjn1mOomgFFMzzPsXOy/cT21aoCgecc8WlyJMbWHpF9AwAvuXALshKPBwZ83vn8/DxmZ2exsLAQ+F7gE/65z33O+fef/umf4oYbbvB8/7LLLuvCEvvHzMzMhkqglzU9JK092UxpNouXqdpJerJZ0e+fcx41q1lvYmvvdJSaZI9SC+s5949SY7+X5ZtflJ0bkRZt7WGj1CSBhyRyntdI172Oh4woxATCRafGcxwXqmp6lPPQOefpjF85sVTBZfaFuuhLr1VS7Dlv2dYeMedcNwysVq1RNta4Ob9yrseqFG6SKOfNimZ2U35qpYZt48EbdBbaCNhZEiGvYZIbXHe6/Avnynj8+RX78ZsfA1HK+dYxlvhad5SUdjgVMbN8opjBc2eDhRhTzpsV59aFvrNAOHYT6ijnZdku+ETn/OKffODkFtjv2+W7xjA9msUH/+VJ3HzZVnAchwNHzuPF+6aQywjIZ8TItPZKXXWeOwwnLd5va3dt6HH2GDxWoISNUpNE3rnZczOSk7Be07BaVXDx9lHP18t1y/JdlYNzzgEEXCmdUHa5DloJhSvFTLpohrtXP9gRHk1UMWVNN/AWM8zWGjd5wA/73KWunFeC7SuFTCOt2e0mY2FmpmnGWr+b0ZGtfSyHc01eA90wUK5rgWA/WTOc1qd2Kcb0nJ84X8Ge6SJ2TOahGybOr8vYPpF3Nme2jGaxuG691ms1NfSzx6g2Kc5zKV3Lk8DOpw3lPP71Z33Ufst02BhOTTdweqUW2eLx326/Fl/+4Un804PP499e681hKNVUvPK938DH3n4zbnC1pgwqrJh1F7UVWxhg9+P++wv22jPH2ERBQkbkPW0TVcXrsmAjdRnu/KJpWzln97pRc87Z2tz/P+J6jpnJPBaW21POl8ve8WiTxehWtLjiPJcR8NKLrL7z3/q5wQ0yn5ubw9zcHGZnZwPfiz0b7du3z/n3gw8+iC996Ut40YtelPoCifRQtZA55wlt7cyO2Eqh3FAyG5Zs0acYe34+Im27VbXev/Otuka6RaW1u5Vzd3GehPWaCo6Lni0ahmVrd6W1M3Vf5IP96IbpUYOtueMRynm9dfXH3QMaZt9LKxDu5HIVe7awcW6Cx9Zu5SF0mtbeXnHO89Zx6W8VWKkoME3YxXlwTIhVDCdTVMICW9wkSVFv1rNVdVmGo5RzVTedVPwo3OnyX/5hY1Z01DHgPheE2V0BOJsJSVN7ozi9UnVeBzdRxTWz4ofdTHh+3x6l1m6fIguEAxpBaczWPuYqYvJ+W7vi7TnPiAI+8h9vwjd+dAr/xx4L9ODhc04IWFzwWKWJrd2Zsx6inLs39NiNnmmaqCU4LhljLuXc3UYwkhVhmFamhWWTd885FzyvQxqwm8J9W4stKedxrqNmMHtpVF9xGKZpRm6mTo9msVpVPZu0TDlrNnnA+ziNMKcwnj2zjh88dz70e2dXa5FW5LBsk3xGcDZZnFn3eQnjBQmGabaVZu9G1cOniSSB2drj7lvWbVu1f52KqqeinEf9/cfPV3DBliJ2TljnNbYJs1RWwHMcJgoZp382iXIeb2tvv0Xtlz5wL8be/BlMvGUeU2/9B9z6nq/Fni9ZQb3bDoA928TWvhYhcsxMFVBTdM8xfGa1BsM0PeMM3fA8hxsu2oKnTgZzSA4eX8GR0+vY/8PWRi32i1N2K9fp1ZrzerMxZ4xC1jspgSnKLBeE4zhsH8953As130ZpLnSUGrO153Devp7lJCFUxPH3nDdatrzKeSc95+7rymQxg/WaGhD7NN1Aqa5F9pwDwE9fswMdxt/0ldiz4Mc+9jHn3zfffDNe+cpX4uMf/3jXF0W0j5XGHWJrb3KUmqZpz1AWW+o51322diAYhNbs54HWivMv//AErv5/93suGqxIkUTenusenHPuTWtn48qSF+ejOSlgtY3DnwjvUc4Fb+Gu6Y2ecyB+HEo7N5huZSzsJiQrdW6FUzQdZ1ZrrlnrkudG1m9rb085b8/WDoTb/diu7JbRTOioEvfosmY0S3NOUgRtHctC4LnIULi6ojs24agpDKrW/AbXnS7/5R+ecDZUwtZ/95cP4WW/+xWcsW8oo3q9RnMishLf8czlUyu1UFvvZDEb2hO/WrFucJttWE2NZKFoRltFommaWCrJjp29kBVRyAhOce7+PGZ9PZ9hNzA/9+IZ/NarL8fv/ePj+PIPT2BhuYqbLrWK87zvJsxN00A41nPu+xvXa96UcmtmrtUzbJpo6uhgjOYlqLqBxbW6R1UdsdXocl21rZRu5dz6XpqBZUyBe9G+qcTKuaZb733bxXm28Tcmpa7qMEwzvOd8LDib+8xqDQLPOQV3EnIZa4yY29a+UlHwse8cwU///jdw/X/5F/zsH30bL5zzjp/SDQOv/ZPv4r/8/Q8j1+7fmCy45hw3bO0Z51hw5yi0Q7uj1ADL1t4slIzZqv3z6pPkdDSjmBWh6kbA8WaaJk4s2cr5hPW+svP7clnGRDEDnueczcW1Ju4ey4kR/XmNa4mL4/RKFd/80Sn8+k9dirt/9aV40ysvwsHjK6F2c8ZKxbIhj+UlbBvLYbHJub/Rz+y9fly31xpR555NzebC73YFwvm5amYcT59aCzhDn7SnYXzvqdZszR//7hG8+cPfb+l30uD0ShXX7plETdGxan+uyr4RjAHl3L53cReo28fzznUaCGbmFDKic23ybxyyqQ9xgcPsvM42R8sh17Zdk/GhtnGslL2bvmwT3D9eNolb7r/84jX4h3e9oq11DAKBs9ELL7yA+++/H/fffz+OHj3q/Pv+++/H9773PTzyyCP9WCeREMWlTjKEBKPU6qoO07TUzlYK5TAlM8puCzQK/k6U82OLZSyXZd+4IjsQTuDtfu6EtvaEF7EkKb9+gqPUGqF1ftVT1Q3fHHYBSohyrukGaooee4MeRt51gg6z76WhnJ9aqcE0gT12z3nRN0otTVt7q4FwgPW6+29a3D1/YXbimtLcis6w+m6jb06T9IILPI/t47nIixsLbQSipzAomuHZ6AmDpcsfWyzjwcPn8IZb9gEIV86PLZbxzKl1vPZ938GJ8xXIqhFqa+c4LnEoUxynV6rYMRFUSybsXXS/W2ClYvXAN9s4Yxf9lTZmsa/XVKi64fScA3Bmna9VvQGN/lmy/nE2jN9/w4tx9Z5xvOUvHwAAvPzSaQBNlPO65vQ+h8GOL38gXKnuPX+x52D296TKOSvw2WvOGLHXVK5rqCneuens30l6znXDwG3v+w4eiVB6GWxs2/X7pnB0sZSobYudi1o9jzPCwpCSPmfYKDW20eMOhTu1UsWOiWDeQjOmx3KOrV3TDfzUe7+B/9+nfoAto1n8zW/egsmRDN73xSc8v/MPDzyPpxfWQnvFDcMMDZfNZwRnzrF75BJ7TTsNhbPOXe0Vye5xUFGwNbNgMkaztPYkNI4P72fvfElGTdGxZ0sRW8dy4DnOUc6XyzKmbOVz3FHO4zc4qrKGYsxGZCbGdRfH1x5bgMBz+L3XX4ff+LeX4td/+lIAwHMxzpTlsqV0chyHbeN5nF1t0nNeUyEJfGAjZN/WIiaLGTz+fKM4X7DHsvoD4dxctXsCNUXH8+e8AX+HTq4CAB49ttTSZtpDR87jmwdP9TQFviprWK2quOEia4PijK06l+uqZ1Ov4HP2rVYVjOUlj1Cxza+cKzry2XDlvKZYG4du5fzcunU9izpHOlNeFK9y7r4f3b2liDOrNWcjphVWq4oTBgc0XAH+DTe2SR+nnA87gbPgyMgISqUS7rzzTnz729/G//pf/8v538c+9jH8+q//ej/WSSQkTDm3CqH4kzUrSvIZ0VG1E/WcGyY4zlv4igIfWfSyx+xklBq7wLoLKdWlnPv/XiMkrZ0VL0nV4nbUakngPA4C1fW3+7+n6YbnNYlSzktt3mBmJa9lPvB9e5RaJxelk0vWBZIFuIzkvAE5/uK8lTnzjHZt7YB106L6XlN3cV7IBJVzlnaahFG7HzeKumokKoJ2RdjCdMOArBpOi4IQMUpN1c1EN5qFrIjPHXgBPMfhl16+F0B4z3lN1nDpzjGsVhT8wvu+AyB6asHWBOpJHBVZw1pVjVDOrecM20VvltQONBJg2+k7ZwXUFteNg9UzLKNU9/bg5yN6zv0OjKwk4BP/6VZkRB6X7hxzAvXC2isY5WZp7REqtf/8VcyJqMiqY39tNkWA4T7veJTzHFOVNU9oIWBdG/I+O2UUR06XcO+TZwOj5vyU6yp4e2a8rBo4udTcRtkIWOrQ1h5TnD/+/DIeOnLOtc7gzSuDFZPuULjTEXkLzZgezTrK+RcePo7nzpbw3f/5s/jn//ff4I6b9+HO267GZ75/DIdtl4Gs6vjjL/wYQPiGHLv2+LMI2DFcU3SsVRVwHJy0dgCJpj3EoXZQJG9LUJyzwtf/HipN5pwngR0f/o21E64Z56LAY9t4zinArEkh1jllJCeC57hktvaYa1K2TVv7Vx49iVsu3+qs5yI7UyIs54OxXG4UU9sSjLJbr6kYK0iBXAKO4/CivZN47Hmvcj6SE2Pbla7cbfW6P2kX44wnTqzixfsmoekmDhw+F/Kb4SyV6ijXtY5bs1qBXetfYvfGs3A4dz84EK6c+697OybynjYVliPFsFquWGuH93w4PZpFRdZwdq0W+ZrnJAEc19iAYuc39zXpVdfuhG6Y+MqjJ0MfI46Ach6xob6aMAR2mAmcjbZs2YJf+IVfwBe+8AW8+93vxj333OP870tf+hJe+cpX9mOdREL8fSoAAjbvMFhRUsgIEITW+r/9FnVJDO+FdT9mJ6PU2MXLXUg1iv5gWrvznJ6ec9vWnrBAXLMvKq0giYJnk0J1lHMhYP3XfT3nGVEIhDoBjSCkVm8w856e83Bbu2km78EPg90gs7T2oiutXTcM6IbpqCKdp7W3V5xH2dqnRjKBGaAA23lO5lIYL0iO3TaMsFTsMHZG2MLY2jzKue/9Mk0Tqp4sVKmQFXFyuYpbL9+GXZPM1h68qasqOi7aNoJ/+W//1ilwoi7e0/bue7uwkTK7QkZJNZTv4C56kos0+/2webrNYPOomRUZsAr1pXKYrd1XnCs6OA6h2QWX7BjDP7zrFXjff2gErxazQqRyXk0459x/HAeKczsfgRXxSZVz93P709oBYL2mQNEMz/nGWld8ywfjiRPJgglLtuXz0p1jAJKFwrHPZqe29rie87u/fAj//TOPOv/duAEOH6UGeIPczqzWWgqDYzBLqmma+IuvPoWfvmaHJwjrrT91CWam8rjrcwcBAJ+451mcXKri5ZdOhxfnEY4KpsLVFM12jFiOFfb567etHYjPvFi3k6gDae0hokarFCLaHk7Ym9Z7pq1z2s6JvEc5ZwGPVpir5Niao0gUCBfREhdFqabi3ifP4heu3+18rZgVsXMyj6Nny5G/t+LKnrD6nePtzOsxquyLL5zC4y5b+8JyBTNThdiAwe3jOUwWM56+c9M08eSJVdx+4wXYPp7D/S1Y29km7LMxGxJpw671N1xofV7ZseFvYSpkBFTlhoCyUpED171Az7lvrGU+I6BmizAl3xx1tjn83NlSbOBwwXUud5Rz1/G4Z7qIWy7fin968PlWXgbnb/L0nEdsqG/K4pyxa9cu/NZv/Zbz34Zh4FOf+tSGSjbfaJimGdovksTWzpSafIuj1DTdCKiY/n5qN5Gj1LhWinPVs2YgPq3dCYRzHe1ST2zt4aPUJIGz3QXxPedhc87bvcHMetLaw23tADoap3ZiqYqpkaxz41DMSSjboVPsb+3U1t5Qzlu/kQqztS+VZIzmRGREITCqBPDayJsxmpecnsYwwno4w4hSztnanLT2kE039zHWDHYzOfvS3Y7luq4GC4+anfh6xcw4vvxffxqvunYnLt8Vnsa+bSzXdNZtHHGBWJHKecLinClC7YxTY32X06NB5Xy96j3n+kepWe4LMfIm85VX7cDPvmiX6/fF0JF2umG1tMTfmAffR3ZdcJ+/Co6tvTXl3P13ul9zdoPHxugFepUTKucHX1gFELTl+2FBRnu2FJCV+EShcG4bdjvk7BGYccp5VdY8a4mztY/lJUgC77G1n15tUzm3be33PXkWP3phBe98zZWe72clAf/19mvx+YeP48HD5/D+/Ycw9xMX4kV7J0NV1ihHBVPOq4qOddtWy/4WIAVbe8KNxTDG8lZadayt3aWcu4PjFC3YDtgqrEDxb3AeP19BISM4rpsdrs3XpZLsnJcAa9OTbSBEUW4251xsXTn/zo9PQ9EMvOaG3Z6vX7RttIly3rDlJxllF3cfdf2+KZxcrjrv38mlamRSO4PjOFy1e8KjnB8/X0GpruHqPRP4ySu343tPn419DDfsuY/2sDhn1/q9W4vYMpp1EtvLNTXQc26YpnOP5g/lBKxxaotrjVDEquJVznMZS4RRNMMl9DRs7QBw9Gw59hzpVvDD8lQA4A0378N3nzjTcovbiu9vYrZ1f3HOaoBNWZwDgK7r+Ou//mv8wR/8Af7oj/4IR48exYc+9KFerY1okYqswTQRGBUjJiiEai7rpdhCcW4pvt6bTqvnPMrWHt4z7CTEJ1BT2a5ZzWeZBhozfMNGqQlhPedJ09qrSssJ6ZLAe5R59xr97gJVNzwOhKwYHupSavMG09NzHhEIB0SndSfh5FLFCRYDrJsV07SKSvY6dFqch4X7JSXjczIA7ObCujnKZ8VAX6yVdppMOWdJ1lFYoUPtK+eNC6H1GNbmj784926CxME2HV77kj2NvuAw5dyV+HrNBZP4wp0/FTnOiyW+tgu7UQlLa5+IU84T9J6N5SXwHIfldmztdtE5WQwpzn03nFl/WrucPPEfaKjaftjXWlXOa4oO3TAx6rouFLMCKq7i3G9fjsL9d7oT+5lyzm7G/NkKYZ+tMH5sz35vFh7HLJ8Cz+OibaM4ciaBcl7rTDlnI+jiivOaomOlojhW9TjlnOM45xhinF6pheYtNGPrWBbn12X8xVefwnUXTOKnrt4R+Jk3/sSFuHj7KH7p7nuwWlHwu6+71nZ5BK8zzqaN71rhHF+y5liU2dclge941nknyjnLvIhrq2EbNKbpzUCQ1fSUc3/Y3ImlCi7YOuJszu2caIR2uYtbwHKjrFWaKOdKvHsmbtJLFF959CSu2j2OC7eNeL5+8Y7R2J5zy4bMbO15nFuXY1so12tK5OfvxfusnmvWd76wXMXMlugwOMZVu8fxpEs5Z/3m19jF+WPHlhP3P7NrV9yGRNqcWqlhLC9hJCdh12Qep+wxZGVftkDe2RizjtuVkE3pbeM56IbpbCbXZG84Z97VluIo504gXCOgcizmesquHWyN1te8x+Mv3rgHHGe12Lj5q289g7u/fCjysVcr3p7zXMYSTZZ99xT+eegbkdiz0Xvf+1489thjOHjwoJU4eeIE3vSmN3VtMY888gje9a534ZOf/CTe9ra34dixYy3/XNLH2IhE3XxEBUe5YR8291zFpD3n/kLbrwq7acw578TWHqacW78nCbw9192tnFv/HzZKLXHPeb11W7vV4+wapaZb/fkCzwd7zg3TaSdgvxu2+12qRd/sxZFr1nNuf7+T+agnlyqOpR3w9miyBFupU+W8Q1u73+7nLs6jlPOkhdVY3uo5j+rbTzJKDbCK85WKEpocD7iUc54PfK7Z8cymEcQxXsjgpRdtcayDfsW38bxa4sT6rfas1HY5vWr1u4Wpw+yi7e9rXY1Ij/fD7Lft2NqX7OAjt6rHbO3+4jygnCvxNlQ/+awQOhM8SqVwI9rnP/fNedh1oZiVPMp50g0o92OE9Zyzm1v/8ZKXBNRixgwyDh5PZmt3jwC6ZMdoIuW80+IcsMclxtja2evJbu7Zz0YFeE2PZh1bu6zqWC7Lbfac53BiqYpv//g03vmaK0NdGqLA4z2/dC1KdQ2//tOX4ILporUJHPKZbzgqfD3n2YZyvlZtZC0wS3anxbmqGci0GQgHNFdv3etzv49pBMKNRGQSHD9fxQWuTeudk25bu+JTzjOx7gOWOxJ3DshlWktr13QD3/jRKfyCTzUHgIu3W8p51DXNo5yP5WDYUy2i8J8r3Vy4bQQTBckpzk8uN1fOASsU7siZdece49CJNYwXJMxMFfCTV2yDbph4MEHfeUXWnPNO3IZE2pxeqTqfeXfLQ7mueYpPltDPrgMrZW8hC1hp7YA1IhEIUc5dIoz/fOjecPcLfG78yjkTm9xMj+bwb6/Z6bG2P3F8Bf/tM4/iswdeCH3cmmK9/v5r+dRINqCcW4GkmdiWh2En9oq8d+9e/OEf/iE+/vGPO0Fwn/vc57qyEFmWcccdd+Chhx7C9u3bcdlll+Gtb30r7r333sQ/l/QxNipsV9iv8PIRwVFu2EmJjQMBktva+RZ6zlkxEUxr5xM/Z1TPucBz4DguNK2d4+D5ILPe5+Sj1MJn1cYhCjwM04RhmODtADT2vIGec79yLgmh4Tr+3c6kWBsC1nNGpbUDnSnnJ5aqeOVV253/dt+ssBuubEpzzv05B0mI6jlnNxdWyrb3xqqu6LE3Qm7G7Fm/Vq9Y8P2pKcmKc9ZvfXql5oTysN8HGoq3IHCB9hHV2QRpftH6o39/vedzmJPCrcf+xNc4to3nUK5rlpW7hYKUcWal5txg+CnY6hyb78pIamsHrGyB9nrOvfZTANgymsNSSUZW5EN6zhvHWauvhaWcBwvAOBXWjfU+Nn4/zM5dsGcyyxFFWBTW5q312R13veYCzyOfEWKUc6GpVd2auW39flh7hRt3WNKlO8cib/jcsNdhpI3jkhE3yxpoKP7PnlnHyy6ZdtqQop5zy2jWcWWwm/KwMMRmbB3LwjBN7NlSwOtedkHkz/27l+2Fqpt4zfUzAKxN25Z6zl3OjDWXrR2AXZx3ntbernIOsMyL5j3ngLXhvh3Wa62kMErNUc7r/uK8jJddMu38946JPM6t16FoOlYr3uJ8rMlryNwzcZt9rdraHzx8DisVJbI4X6+pOF+SHduzmxXX+rdPNHr+t0Wcw9drKi6IUMM5jsOL9k3h0WPLkFUdi2t1J1w2jit3j0PTTTx3poQrd0/g0IkVXL1nAhzH4ZIdo9gxkcf3nj7raR0Kg+WKXLhtpOfKObvm75wsOO6hSl11BA4ATvYNE6XCglC327kLZ9fquAbhPeewv+6/nmREAZPFDFYqSmDUnZuC6/pUrkdvPL/h5n349f/7r3j+XBl7thTwO3/zMDTd9Ix6c8Pud/1/0+RIJvSaP1lsf5N1GIg9G4miiOPHj0OSJHzrW9/q6kLuv/9+jI2NYft26+b+ZS97GQ4cOICzZ88m/rmkj7FRKUcUbiLPefqrwmBWmbxrlFqSOeeGGbS1SzFKfVTadsdp7a4RLALv7cU1TdOjmgOt95yvVxWMt9pz7rPOu288RP+cc8PXcx6i8gLtK+dAQz2PmnPO1tgu1g5w42LqDlDy29p5vnlIYRhRmQVJaGZr948qAawLYVLlnH3u1kPUI023AvGSjGVju+infNZ29hlljyHyPHTfJphja0+gPl29ZwJXzDR6x/MhafVAq8p588TkOBbX69gREYjFcRwmRzJB5byF4nzrWA7n2kjiPV+qe8LgAKuw0g0TVUX3KueSd5OnIsf3ifvJhwQTAi4VNmaUGhAci1gK2bQt2rPUWw2E4zjLSshzXKDgHMlJzvueD+lVDnMDuGE3pVtGs80D4Wpe5fzEUiX02HXDlKhWx5S5GbFT7qPwK2+VuoasFFSWGNP2OD7AlbfQRiAcm4v+2z93RWzPNs9zmLv1QkfxzkpCaLaJk9YeyA5ojFJar6meYMhmqm8SFE1vu+ccQHNbe1V17gX8ynnYdbEVokbtnThfccaLAtb53TStyQSGaWKLz9YeFwjHAlZjlfMWA+G+8uhJ7JzM43rbVu7mkh3W5nCYM8U0TaxUGtdPlpZ/Nub8WmoSrPvifVYoHLv2xc04Z1w5wxLbLWv7oZNruHr3BADrfPWKK7fhe081rwHYuevll0zj6Nlyz8apnVp2KeeTXuV8xHPO9k4DWCmHBcLZyrmd+1KVNU+grTNqU9FQqmvgOO9GD1PP496jok85j7q2veaGGRQyAv75wRfw198+gh8eW8KbXnkxlkpy6H33SlRxXsyGtrJFTYzZKMSeBdfW1nD55ZfjhhtuwDve8Q684Q1vwOc///muLOT555/H1FTj5CAIAkZHR3Ho0KHEP5f0MTYqndjameWwkGkEwiWyteshtna+eSBcJ6PU2A2AO/1X1RuzncPS2v3FHCtekvactztKDWgUvKpPOQ/0nLvT2qXwOeelmjX7sp1ANDaCK0whcJTzBKFNYVihU1pgljJgKX6O3dpla2+2YRSG1kFxbo2nCxbn7IKUzwTtxDWfLSwOttsclljcSm9vQzn3hsK5cyEA9rn2voaKayJAq0QVhdUWZr13WpyfXas5u/9hTBQyHoubYZhYq6mJ551uH29v1NtSSfaMUQO8Y9Xcx30uE1TOkzoPANs2qATbI6Lmpfvxjy0L27RtBMJZ60waCMceJ2yu/EhOdJL6/Rta+YzQtOf84PFVjOZEXLFrvKnyV643nEyX7hyDaSI2VRqwC/oOLO2A1aoTlzrPPuesmCnVw100jOnRRkYDU5R2hEwqaMbLL53Gu3/hKrz531zS0u/lInrOowLhHPVO1u3k7cbnbiwvhW5MtoKqd6acbxuP33xbr6mOwltyF+eq3tHzAtaGe1biPUX/ek3FalXFBdONInOHXUCxyQRuO/FEQYpNvGfngLjNeUs5NxIVl6Zpjbx6zfUzoZtWrAc9LCCtVNeg6aZTTDlp+U02R+Luo1go3I9sa/tMAuV8aiSLnZN5PHlyFbKq48jpdVyzZ8L5/k9csR2PHVtpOkmAfQ5ffulWe6RYb8apnfYp52dX69B0wyrO3XPOXcW5bhhYraqBQjaXETBRkJy1B5Rzyaucj2S9QaXs+t0sEI4dh5UYV9hITsIv3LAbn7z3Wfz+P/8Iv/HTl2L2pZY7I+wYWYlIYLeU8/Za2YaZ2LPRO9/5TqytreGaa67BV7/6Vdx88834kz/5k64s5Pz588jlvDdluVwOq6uriX8u6WO4WVhYwOzsrPO/+fn5jv6OfhJla0+W1m6rclJDOU8SzhaW1i4KXKQirTu29vZ6ztlJy71mwCpKpAjLtG4ElfNWes5VzUBV0dsozq31sA0AVWsk0Uq+10jTvQ6EqN1vd69lq7DCUApRVdnr0a6tXVYNGKbpsWGxPsuKrLnGyHXWc67rBniOa0v9koSgrd2dlmsVRY2/3zRNVGU9cVo7u6CF3QSwYilJETSalzCaE0OUczZRgSnnwVFqrO+unZ78fEYI3ZyptTDrnakn7c46P7tad27ywvBfqNdqKkwzuNseub4EicJhLJVkZy41w31THbC1u85NLK09KQU7Udf/WWzcmDdRzn2bLOuhPeeiHQjXOO8nZTQvhd4YjeREp3/aP36wkA3f+HHz4+MruOaCSRSyzZPd/T3nQPNxaus1teVQTz/NbO01xVucV2Q11kZv2dqt1+z0ShU5SfAE7SVlJCfhD375xS05NIDG2D9/IcfOA/58ksbNvYb1moJxl7V0vJiGct5Zcb61ma29qmDGLoTcDghFM1raoIqimJU8yjmbcb5n2qucA1ZvNICWes6rLhElCrb5nuTe5uALK3j+XCXU0g5Yn9tdk/lQmzdrD3ICVTPWTPKzEbZlgPWcR5+rr7/QEtfYjOwkPecAcNXMOJ5cWMMzp9ahGyauchXnr7hqOwzTxL8+Ez9SjRXnrAUhSY5FpxiGiTNrNaeVZedEHoZp4vRKDXVV99xPsWtwVdac7AR3QClj23geZ1dr1v1LSFo7YBfnIZuVSYrzoutcXmky1u+Om/fhhfMVjBckvPcNLw70xLtZccbaev8my2of0so2xMr5/Py8p+5cWFgI/EzTM3kmY70AF154Id797nfjH//xH/HLv/zL///23jxOjru88//U0fdMz4w0lzSSR5Zs+bblQ7YRRMYgMBA8MYsJO5sNDtnFJGEXnLzWhGTzW0wSJyxHsnECJGGJcYiZZEkCURJiiLGQiUGyDcE3tmVJljSWZjSjObqnzzp+f1R9667qu7t6+nm/XrywZnpmqrurq77P9/N5Pk/TD3ZgYMB1g8hmsxgeHq76cWfOnKnqd1iZmJhYN+PhTOXcmdZe2ULMEoV5njMU3EoFPQDIquoKd6tmzrlTbeerLM6tgS7WBZzkUM5tgXAeynmkhuKc9Q0G3VS8YH2/7LWwKeeivedc2+Swzzn3Slytp/edEY+KiEV4zxANdtGu19a+5lB1AatyLmEopRfn+vOvZoKAF14uiGqJivb+SlVV7T3nEQElSYGsaO9FSdI2HKqdc85uaF7JsEyJctp9/RgfSrqUc7ZgNpVz3qWcOzdBaiHuoW5qN/jqE+tZwVrvrPP5lbxvvyIAoyeOUeu809F0vC5FZDFbtI1RAxwBOpaCKuHRc+5ccASRtNhjra+7aWsPfi8SjrR48/plT1eXZNVQOmtJk+/XR1Y5ScUimD23ahyD7Zii/rPbGU+/uoSbLxvHa0u5ipuEWq+jHmTUF8NQKoqXKyym6xmH6SQVEwMVuGJZxpYNSSNEK5uXAtV6ZmtXVdUYo9bOkCPrdd9anPo5KrT7hxkIZ70nDiSjmF10j4CshZKkVBVm6cdoOo4cUwU9NmJW8mWjOM7mrbb26vJAKmFNsga0sV4AbH3Ww/1xCDxnpIo7R6mtBEyTMN0zlccpFqvYcLj/u0ewaSiBN17qTvdn+CW2s2JqyGLLHwloK/Aa6eiEhcI99ONZDKWiVWd1XLJlEP/y76eM1/RS3dYOANtH+7B5KIFHX5jD23ZN+P6OhdUC0okIdm5Kg+O0UMc3XDxa1d+vl7OrBUiyarQDsiKdbQxYNxOtYYx+FnBA6/2fXyno7gl4prUXdFu78zPCEtuD3qNE1DzHc0XJtoHg5M1XjOMdV0/gg2/ZiXQiYrSsed2DWQHuLLr9bO07LHk83cb09DSmp6eNf09NTbkeY3tVM5kMPvKRjwT+0u9///stKc4vvvhifPGLXzT+XSwWkclkMDk5WfXjJEmq6nd0G2VJweEjZ3HheBpjAf1omXwZ8YjgsrQKHvZXJzlL8JVQw8xxSfYofD2KBuvjAX9beyWrs3VX2W5rV43C15nWLqvex6j9XGWluN7xZc7QOXfPuSUQztlzHuENFdR2LIX6F5jxCO/bV9doIBx7L1KWG0GfR1q7TTmvo6dL8hjdVy2xiGBbWGcLEsqyYlHOzV3lvjhvKNW1zDkHKtjaq/xdmz3GqVndLYBenPuOUqt9oZmMii7lnB13JSs1QxR4bOirL7G9UJKxnCsH2tqHUlEcP7tm/LvW4nxkIIHFTNHYgKmWhdWCa3ycdQSSdREViwgoy+Ymz1pRsk0xqAQrvvNFGbCsP/zG1jiJR+3ha5l8GVGRty3U2e9YzGojaZwbrEGkExGUPBb9/QnRUNO8epWD1HA2H/zD77gES2tFl43RSbZQNjahWfDTkQrj1OppTXKSikeMnlAnqqoiX5LxhosH8a2nXsOZ5bw2Ding/RpOxyHJKlZyZZxeqm/GeSNYr/vW86NotOHY30eO47RsjqK75zydiGClypFVfpQbVM4Na/VKwbs4z5Wxa1JTZ9nnSVFUSLLasK0d0M4P67rk5OIaIgJvy9HgeQ7jgwk8f3IZAFyj1HIl2Xfueq6KawD7uWJZBgLO90y+jL/5/vGKOQU7xvrx78fOub7OiilrgTg2kPB1JrGRjkHrFxYKd/D5OVxx3qDv45xcMjGAz33rJ3jylQVMDqdsf4PjOFy7fSOe019vP86uFjGSjiEeFbB1Y6ots86dIZDs889GQ9qVc9PWvqRfZ60bI4yxgQTOrOQtE5gsoXJMOS9rG1jOUWSGch44Ss1s7QmytQPaufg3v3qT8e/h/hg4Dp6hcMtrJfTHRde56GVrX+k1W3s0GsXzzz+PvXv34qabbvL839atW1tyIHv37sX8/DxOndLsLAcPHsTu3bsxOTmJAwcO4Nlnn634uKDvdTOyouLtv/cdPPzM6cDHaTth7g+KwHOu4CgnVusqK34q9akDPrZ2nvPt5fZPa29MOS/Liq2f2arcK4oKp9hai63dSDuu0W5obgCoxjGKtp5z65g1e8+535zzbN5bEagGbePG+ybMvl7vKDWvHf2oqI11WtOLYAC+71G1SLLicl1US0Swz3/1suUB5nmV97i5BcGKBa/ivFhjb+/moYTL1s7S3pnLRNuE8ra1R+rYwNCUc0cgXrG2UVtA5b5PP5jiElycxxpSzscGKo/7efn0Kqb/6FH8ty8dhiQrKJa1mbBO5TwqCsYi0DlKDTDVR23js/rNEvbzzmApv7E1Xj9fcKS1O4tS9jk9ly3WrBj+55/ajvft3eH6urVgcI1Si3mHDTKeP7UMRVVxxdZBxD02iZw4w5IuGE9XtLVnCk0ozmOC7yi1sqw5bS7Xi4ojZzKeC2ArLLdgIVPQivM6wuAawW+EphEI53FuJKICFjIFV6E12Iy09gZ7zitlXqzmShjqiyIZFZDVr9PsuTaa1g5o54e17eHEwhq2bEy62rA2DSZw6lwOfXHRVoSzNYbfSDr2u4PUyniVY1H/3w+OI1eUccdN7s+yFb9xas77J+DfNrSYKeLg81ooW6XPIJt3PlGlpR3QZp2rKvCNJ07aLO2MiQ1J35RwxkKmgI16sCJ7zq3mNd0dt1l/rsP9cYgCZ1zL+mybvjx4jkOuJPsmmwPaPW5uuWBcb73S2gsl2ZbbwWD3uEo950Zx7uiLr4Qo8Jq7YsXD1u4T7LqhL4blXMm21qklBLZbsb2qsVgMf/iHf4jXve51vj9w8cUXt+ZARBEPPPAA7r33Xtx44404ePAgHnzwQQDAfffdh927d+Pyyy8PfFzQ97oZFvJQ6eLiZ9urytZusa7WEs6meNjatTnn3oVX2QgGc6j7hlofXLCxm39U5N095/px8JxHz7lz3JujcA7Cq2ezGpxp7VbrvWvOuSNYT5tz7mVrr3+BGY8KvsVh85Rz85LC6YnO2ULZLE71952ve865+3yrlliEtzklzjl6nKw70wAM9bHawkrgefTFRax6LFDZjbJaW/umoSS+/6J9NitrPWGIvDvbwbkJUgvJqOCy5BvKeQ22Z69Z535ZE1bYDTvIHTSYsqe1L+uvdbX9Z1ZlzWmfX82X8al/eBaf/9aLGBuI4/RyHrmihE/87C4AcCnn7GurjgRi9hkrlLSU9nwdo9QA96zvoLE1Vpyj3LzuC9bivNZe2/9wg/dmN1tICjznOv8SEffGj5WnTyxD4DlcsmVAm4kecB1SFDau0Hwtdm5O45v/fgqqqvrawjN5KbBlohqcPcVW2Pt1ycQAeI7DkTMZrBUk3xnnAIwJAIuZIk4v52tSC5sBux47Q+EKZQUc551dkYyJOLOsfb6ticnNSWtXGktrrxBKxmzVqbj5PjrvTY3g1XO+1cM1M64rpM6QSXYdW8mVPEeXsTVP0HUgZrG1+6GqKr70yMt4267NFV09O8b7kS1ImF8p2K7NS9kSRIGzfQ7HBuJ48bUV499/f/hV/I+v/NAcsRgRjJA5P1hqfDVJ7Qw2dWR+pWALg2OMD7qdaE4WMmbr0vaxPhx+eaHqv18vp5fyEHjOsJPzPIfxgYSlOLevp5IxrT3ILzwN0O6f8yt5S0aNh3JekvWJF/ZrE7s+DlRIa2cj/daKUk2bKIC+eeBla8+WPHvoh1JRqCqwvFbGxv5YzSGw3YrrEx5UmAPA4cOHccMNN7TkYPbt24d9+/YBAO644w7j61//+terelyl73Uz40NJYzyCH362Pa9UZyf5kmQUIWwBXU3PuVdae0TkPcezANYboU8gXAWrM9tRHh9MGAnz2nHYlXNrmJ2iwqWca731/sF1VlhfZr22dqYQW23tzjnnkqJAsCrnEe9ZpdmChK1VJJh6kYgIrtfd/Htst72+nnO2aHAWIWwRVPIIhKsnrV3WZ8bXg3PO+aIeXmWktVts7YCpnNeiLKYT3mm7taZib9ZHqliLjbxj5rp3z3n9tvZEVHAtatlGRbV99wAw0u8OZfrVB55ENl/GX/zK631/jt2wK9nareEwS2slcFz1n03ruJ/LLV/PlyS8/re+ibmVAj522+X472+/GN/68Wv4hc8/hlf1vlE2rsrKxv4Yjp/N2hbLpnJeXWiOE/ZaO4vAasMgExZVENDvC45FGFM7FjPFqiYIVAM7Nq/+9UQsWA1/5tUl7NyURiIqugL1nDA7svU5XTU5hJVcGcfms9ju04uYqaBiV0Nf3D8Qjj2//kQE20ZSOHImg0yhHBhwyIqBhUwRZxyjKNuBUcg5lfOy5tLx2uhIRAUj0Mm6KZVORlAsKyjUMN3BSaO29g19UfAc5+nckRUtTDadjKI/LhpZDEbLVTOU87ho+9y+dHoV12zf6Hocc0g4syjYZodf6n2uKEHgucDXqBoX3BOvLOKZE8vGxmMQrLf3lbmMrThnY0it58iopfAqlGT8+oM/wmVbBvD+m6/FxRMD2DHWX/EeuEsPhasmqZ3RF9c+c8fPrhlj1KxsGkpgaa0UeG4uZgq4bOuQ8Zxn/u1Y4GZfM3jtXA7jgwnbpvWmoYSRn+EsnrVgTa04jwi8531lbCCO5VzZsL5bHyPwPCKClr2TKbhnzt9y1Wb86QduDLwOJR229lpDKMcGEp5C49Ja0dOmz9o+lta0yTq1hsB2K4Gv6pve9Cbbv2VZxk9+8hN8+MMfbulBEW7GB+LGbrUffra9aizEuaJbOa+meJK8wtYE3jf8x89CVr2tXdsxHB2I25Rz5yg1eyCc23oPaOFkXn3dTprVc16WTdXX6i5QFBWqarciB805r1c5j0UERH1ujOyi7XVD/+HRRezaNhSoeq55KOfs39bi3LqBUm9ae722dmfInqmcaxd5pmobMzxZz3kNN590MhoYCFdtoT8+mERJUrCQKRoKSt4xc130mMJQkhuxtYu2DS/2N4HqFX9A+2z+xKKeAMD3XpireD2ZWymA5zhPhZoxmIqiWFaMEXcstbXaDRs/Ze3YfBbHz65h/0ffhJsv18KRbrv+PNwP4P2ffwyAj3LeF0M6EbEt4JwulFzdyrn9GrqaK1c12zUREWybI17XjEZs7X6whaTX70tWGKX2zMklXDmpLYwTUe/xXgw267nPEnzKrLA/Pn7OvzhvQs+5dWHqpGCEPopGD/yaT6sZgylFr57NIlOQ2m5r97NAF8r+AWnJqGj0yg5YXk+jsMyXEI/W9zxKkmKEhtaDwPMY9nDuaMelvW8DiYhWRBdaoZyLhq17bjmPZ08u4yPvuMT1ONZbvMFRjAxUsLWzYiioYDQC4QI+Q1965GVMDqfw5ss3BTwbDaZ0vzKXwZ6LzIC0pbWSq0AaHUjgXFabY/2VR1/B/EoB//wbb8bOTemKf4exfbQPt+3eijdeOlb1zwBaKNzxs2u4zEc5B4AzK3lsG/FW7lnPOaC5BXIlGWeW856F6omFNfzLv5/CB99yket7337qNWQLZV+HkZXXPHImNg0l8eTRRQDukXlJPYxNVbV7odd5wBLRX9WzWbzGWmpp7e5AuGRMxM/91PbAY7aO+qwUCOfF2GDCswVp2eN8AsxrJHMLMOfcep9zHviqKoqCj3/84+B5Hoqi4Omnn0Yy2d6dXUJjfDBhKDh++Fmehaps7eYOWC09517p2UE95yVJK5SdhV71ae1aaEQ6EXH0nNsLX1txrsJz8e5UUv3IFMoQeK6mRGP2+7VjY6PUzFmqWqK9avu+c865JKtav7zl2LMN9E0mov7KOaBtmDht7YuZIm7+xLfw1Q/vxTuv9R63AphJ0s4ipE9fBDE7uaGcc+23tUcdCfnnskVERXP3mSmWzFJrWNFr6Lfuj4ueCyt2rlYdCLdBX0ws5y3FuX0klyDwUFT7OeLcBKmFZNRtJ/ZzRAShjTMy1e21ooRX5jLgOc436AjQbO0j6VjgJhDbWV/KlpDYINbce5aIatcOZ1/kyUXt2rpzs30R+a7rzwMA3PcvL3gWThv7Y65NO6utXVVVrBXlmkapseuMswhcyZWqyr2IO0biafcF96YZoBfndaqcTtgizetcSURFFMuKZxCfoqh49sQy3qmPc4pHg0epZYzUevO1GEnHsWVDEv9+/JzvorgpgXD6ZqPzugzYP+M7xvvxnWfOoCTJgRkhEZHHUCqKZ/WwKva5bxd+7UxFR0CclURMwInXtM9L2mFrB4DlXLnu9oFGR6kB/onhrN0onYygLx5BttCKnnNz8+bhZ06D44A3X+EugMcrKOd+7QFL2VKg5Riw2tq9P0PnskX8/eET+Nhtl1e1qZmIisYEAufvcR7/aDoOVdV6qT/7T8/j9hvPq6kwBzT79lf++0/V9DOA1nf+yLOnjdGKVti1+8yyf3G+sFow3FHbR023gFdx/o9PnsTHvvoj/Mzu82xhfwDwyW88g2JZqao4P72UM2acMzYPJcCMn67iPKZtoBdKsq9yzJxnx89mtZ9x3HvieiZJtlC2bXBWSyqmjfrMl+Q6lfM4/u2FOdfXl9ZKtpGDDLZh8sqZDHbvGK45Z6ZbCbwa3Xfffbj55ptx00034eabb8ZHPvIRKs47xNhgInB+JKAVbp4950LlQihv6WetpefcOQJM+3u8Ya91UizLngVi9WntmnqUiNrtY2VLz7nXnHPBY4fRmZge9Ded6lg1sE2OskU5N0apWXrOmTXZqgiz18h5g11tIBBudCARaLF09qqyv6eqwNH54HAUX+U8Lvra2utJa290lJpVIXLa8lhfNbOzmzNlqy9eBpJRwy5ppVblnN2wX7OMU8uVZMN6D5jni/VclxpIa2c3bSt5IxCu+t83nI4bieiAFvalqtpxWpPWnVSacQ6YPZms13w5V/u805F03NUidGoxB4HnMD7o/vvvuv48HPj4LZ7FylWTQ7jivCHb16y2djaOr5ZAOPYZcvZor+SrVM4dxa3XhAdTOS81TTlnlnFP5dzRMmLl6HwGa0XJVM4r2dpZBohj4brr/A34sUeqNFDdGKdqYItlLxdAwfIZv2A8jWPzWazkKrcibOyP4dkTywDgWui3GmMjyXHdL5YV33aHZFQ0AhWthSL7b6/MjWqQFe2z0kjPOaAViF6hZKsWB5y1PcG8NzVHOWdtF//69Gu4etsGz95xP1s720Rb9nkNXz2bxXnDwT3blWztM/92DLKi4n0VguCseI1TO5d1K52sMPzDf34ery3lcPfU5WgXv/SWizDzkb2em/fj+v30jE/f+VpRQq4kG20m54/2GbkRXrDNk0Mv2XNh8iUJPz6+hFcXslUd82tL5oxz41j1c4PnONe1NKmve5fWSp4WcMDMbDk6rx1DwnHvYZkemYLkaneqBuuoz7Uqc1CsjA8mMLdScAUMLmaKvnPb33DxKP7iwBEAtYfAdiuBV8Err7zS9bWVlRWPRxKtZnxQ69NwntBWtIAH77T2irZ2Sz+rWEPPuewx2ipoznmh7D1702tD4IdHF13Pl6lHyag9/bdsSXkVHHZfvz7lqOgfXGel3vm4ZuhccM+55KGcx3ysadpCu76+yf91+5V44ENv8P2+NufbmdatvcYnK7g2/JKkUzFtEWQouj4bKNXilXFQLVFRsDklrDPOAVMhZ0WRoZzXcPPpT0Q8+wULNRbnYwNx8ByH186Zi4l8UbLZy70cLo2ktXuFdtWjnI+mtUR01jbwjF54APCcl8uYXy0Yljw/hvTFLPvd9aS2eqXJn1xcw8SGZE3j1QDgV2652DYqBrAWPLLvplUQUVFP5fVQzgerUc4jok0J9VKM2fEsrZVqDoTzgwWfefacOyYhWGHBh2yTI6E7OPzudayocs4Pv3rbBjz16pLnz7ExTvUsRq0wd4CXtd1oAYkK2DHWj7KsYGmtVHEzdWN/DM/PLgNof3FuWqDdtna/YtW6iW89r03Vt75xas4N3HoZHbA7dxjsuNLJqK6ca+8hc5kEucqqJRXXlHNZUfDIs2fwlis3ez6Ovc/OVhmB57WRdD6v4bGzWWyrEKhWydb+jSdO4i1XbvLcNPDDK718aa3kVs714vz+A6/gXbvPM4La2sH4YML39R5MRhCPCL5jEBd0pwV7TWIRAVs3JnF0zrvIZhs9P3AU5z88eg5lWcFKrmwLLvXjtEfOBEtu74u72xdYWw1r5/JiY18MAs/h+HyQci5XnWHiJGUpznOl2lq2AG1tUyjLtmyekiTj5GLO99z+4L6d+MFLZ/H0q0tmCGwvF+fbt2+3/W/Lli147bXX2nVshIXxwThyJdmw9HnhGwhXRSGk9XDWrpzLirtYEnnO1xJfsli7rTj/5pEzq3jjPd/C4SP2xMyVXAkDyahh72FoPedmWruiqsYiTfGYcw7otvYqlPPVfKkuO6RRnBvKuWKz3ktGce6e/W6OejOfY0mSUSwrdSvniagY+DziHrZ2VpydqFCcrxVlzwIkFROxVigbzgZ2s+GraLXwwhmcVwvONganLc9MMrX3nNfSb51ORDx7zgtlGTzHVT2jXRR4jA7EcdqmnEu2jQIzcNB8HRtZ4HqFdpnW/trS2gFznNEzry7h4okBJKJC4HiauZV8ReWcKTXLa/UX52MDbtvrqcUcttQZtOgkYbG1syKulgUMx3FI6am8VjQHTx3Kucd9ISLyxjnSbOXcqw3EOQmB8dLpVfzmzI/wjqsnjIVxPKrZJv1ajpgzxaWcb9uApbWSpzuDfSabYWsH4BkKV7DY2q3W2kobM8P9cRTLiq7oNnZ8tRK3uDysFIN6zvXn43STmf3S9SnnzVKwh/tj3rb2vN6rmojom8bM1l5bWGcQSX0z+slXFrG0VsJbrvTu6R736TkHtNfR7zV89ewazh8JTjFnwXZek1cWMgU8fmQB77jGv0XNix3j/Tg6l7VtfJ3LugO82GdYUVV89Gfap5pXguM4bBryT2xf0J0g1nGZ2wPGqbHNk0Mv24tza7H+6tlg9TxXlLCcK7uUc+aq8CqcE/q4U21jxPtewPMcRgfihq3d+TlORAVkChLypeCWGz/Y9X0xU4Sq1rbxDJiJ8NZQuGPzWSiqigs9WhIA4J3XbsHEhiT+/OGXsKyHwA40eC0PO4EruCuuuALf+c53cODAARw4cABPP/00fvd3f7ddx0ZYYDut1sW6k9W85GNrd6c6O8lZ+iJ5ngPHoeLPAN5zzjVV2M/WXp1yzi6iTsVWs7VHtJESVuVcUozCx7DI6zcS2WPOOaCNc6uq59wxKqlazJ5z1ThGu3Kufd1Qzi2qnWFrt41E0lOKW3RR0gLTfJTzxcrKuVcBkopHkC1KKDp6CUWhvrR2pQFbe8yZ1p4t2pQLdhNjhU2hJCMiVJ4rbaU/EcGKV3Guh7nV0hrhnHWeL8k2i70xVcHyOpZlFTznznSohkTE3eubq8PWzhZozFr6zMklXHneoLbYCVLOVyor50wtYInt9SrnXj3nXiOP6sFa8DDlvJbcAkDbKHEWsqu5yv2m7O/b55x73xfYoqoZvbbW3+ed1u62ta/kSviP/+dRjA0k8OcfNKfEBKnsAIyiyrmwvPp8MxTOiVHQN6k49xqnZgbCCdiyMWm8rpX+JisI2q2aA/4W6EJZ9j0v2PvrPKf64xFwXOPKeaSBQDhAW/yf9ZhsY0xdSUbQnzDb4oy09iYo53365/Zfnz6NoVQU1+1wJ7UDmrr5vpt2YO8l7tCzgWTU032VLZRxdrVQtXLuFXb78NOnoagqbrnKW2H2Y/toP9aKkm0ElhYIZ1fOYxEBG/tjmLpuq2cwWyfR3Kfe6+cFfXLLsMVNEDTrnKm+T726ZFyPAODQS/PYtU1zAAW1cAGWGecO5ZwFxHmNYGSZBl6vvZWxgTheW8ohERVcrtF4RDScAvU4Qtk1kL1mtQbCsdYx6z2YtQ9c6JNPIAo8/subLsD/+8FxHD+bxUAiUvfUnm4h8Gr0+c9/Hueffz4mJycxOTmJDRs2oFh024W6mdnZWUxNTWFmZqbThxIIW7TOBSS2e43MAdw2by9yRcnWm1LtqCtJUV1KZtCIsmKVyjnraXOOXFjJafMNE1HRtniTZHvPufV3Kap7zjlQva19NV9fb47osLVb1X3PnnNrWrtHqEvWUIxaU5zHI4LLCseKs1OL/ptCgLZY9SrO+2JaIJwz6MfP1j63nA887xqztQcr57we+sfOq1xJqqkoBTTVw085r1WZGR9M2Gx4Wlq7dZSabmu3uD/KPp+vakjERJRlxfb7NHsrX1Oxz9Tvs6sFKIqK504u4/LzhgIXO6qqYm45HzhGDdAU3/64aCa31tFzPpp2z1ltpnIetyjn7FyqVV2wzpJlrOTKtgCuoL9fKCsolmX8+cMv4Vy26Nmrzj6vTUtr1xd6XgFzzE3w1KvnUCzLkBUFv/j5x3B2JY+/+dW9tuOL+SSIM9YKEnjOHdA5ko5jYkMS/+7Rd25sbDY8Sk17jp7KedlUzgWex/l6qFSl955tEDoVtHZgWKAd98Fi2X/kFNvEd55TPM/pluz6lPNyE23ty7myqzhdzZcREXjEIwJSMdPWXqxxzGUQyZjWUvKtp2bxpsvHfa+bHMfhc//lBlziMfbLb148S9+e9Ak0Y7DUeS9b+7/8+yyuOX9DzRtBzAnCiihFUbGULWGjh3r74Id/Cv/nF3bX9PvbQdCs84VVt3KuuQUynuuRlVwJl24ZgKyoePIVLVldUVQcPrKAd16zBcmoULHvnB2LV1o74H2tSuhJ6ZU2pUcHtFA5r03hRNSc5lGPrZ3lh7Diup5RaoB9bX/kTAZ9cTHw/v8Lb7wAsqLi/gNH1o2lfWZmBlNTU5idnXV9L/AqODEx4fra//pf/6t5RxYCJiYmsH//fkxPT3f6UAIZH3Sf0FbKkoJCWfYdpWa1eXuRK9ltySLv3zduxcvWHtRzXiornotBV3GeZcW5fRFt2NqjdtuntfhjRYtRnPuorRGBq0o5X81Xp1i5fj9TziVrcc4Z32Nf91TOjd1vq3LO1J/GFph+aIFw3sr50lrJs+i0Pi7lEXrFAuGcRaPAuXMQypKCq+7+R/zzv5/y/TuSolRtDXcSjQhQVBUHnj2DlVzJ1XMOaDcz9pytIYnV0h+PeAYiaTbR2hadm4eSNqdMviTZgsW8ivOSpNTVbw6YBZR10ytXlGoKxAO0mzVbABw7m0W2IOHKCsV5tqAF8ox5BLI5GUxFG7K1jwwkbIF1sqJg9lyuecq5R895LYFwALOmm9c3WVGwmi9Xp5zrn+Ndd/8j7v7KD/GeGyfx3j3bXI8LUrrrgc1O92oD2bwhicFkBP/1T3+AiV/6Gnb/xjfx8DNn8OUPvQEXjNvVkkTEPjXBSUYfT+blQtm1bYO3ct4kWzvb0PDuOde+xt5/VtBUWgCzgsC5SG8H7JrsbGcpSt73acB0QXi5ybTCsk7lXG5OcW621diFJG1zS7PiWwPhis1UzvX3+sfHl7DPp/+5EulkxDMQ7pjeQ3x+heJcFDTno3NzqywpePiZ03jbLve6vhLnj/YhFRPxPT1lezVfhqKqRgaIlddfNFpTP3u72OTY7LZydrWAdCJi26DZPtaHvD5OzclqrozdO4YxlIoaVvYXZlewkitjz0WjmBzpw4lqlfMN9k1hFljopUizdqeltWLgnG9W5Hrdu+PW4rwB5Zx9vmpVzvv1tpI5m3K+igvG+wOdhSPpON59w3lYWiutmzFq09PT2L9/v2etHXg1+pM/+ROMjIxAEAQIggCe5/GZz3ymZQdK+NOvf2DPeNi1ANO259VDwhTcoB5fNjeYUW1gl+xhaxd5fxt9UfK2y/Gct3I+v+JUzrVCORGzK+fWJHRP5dzL1l5lWnu9I3iiHoFwEX1X29Zzrh9nRPRIa7fa2guttbXHIu4559bWgSBru6+t3RII51LOHZtFrJgJUukbSWu/aHMa6UQEU596BFt+6W9xYmHNFWiTtCnncs1hJ+lkBLmS7Np4yJflmougzRvstvZcUUY8Yt9AA+w952VZNc6xWmFKmbUozJfkmgLxAE0VGtXHGT17YgkAcMV5g9gx3o+Ti2uuQgCAkZ4+mq5coAylYljKlqAoqqac19FzrqiqxZ1TgKyoTVPORYEDz3EolM2e81rVhWTMPo2CKb/VuAQmNiTBccDrdo7g8d9/B774S3s8FzOmrb25yrnX+TKSjuPon7wbB++5Bb/z3qtx9bYhfPGDr/McM2W0BQTY2v0K3qu3DeHHx8+5NqJX29RzznFmkWcW5xVs7XohMz7Y/kk4nJ4I7bK1l/wD4Zhy7mWJTSciRm93rTQyBtIKu4Y4W1dW8yWjT1UrzrVzotRk5ZzxFo9zuxoGk96BcMfPZpGIChVzOYz31CE8/OCls1jNl/H2q2svzmMRAe++cRJfefQVyIqCc7p44tf3HEbGh/wnHi1kijbVHIAxcs1rhPFqXrvv3LhzxCjOf/DSWYgCh2u3b8R5wymj59uP15byGEhGPO8N44MJz+tGQp+UUCwrvmntgKlOe12LExHBKKwbSWtna/Na723a8dknphw5k3Ft0npx576dANZ/GBxQYc758vIyTp48iXjcvBh89KMfbflBEd6MDSR8lfOMZUyIE1bMSLIKr/utqqp6z7ldlauq51xRkXLY2q2WbSfFsuJ50+c4zghyA4Jt7elkFMmoaO85t4StCY6ixa+gi4pCdbb2XH3FOSu2ranshnJu6TlnxyB4KOdWW7uh/rTI1u41Ss2qEJ1YWMOlHjY8AMgWJUM5s9Knp9eW5Mq2dvY6BaWcSrJaVz81AOzeMYwTX3g3Xj6dwQ+PLuKF2RVMXbfV9ph41MwyyNdha2efv9V82Vb4B80N9uPKySEsZor49P7ncPfUZf7KubXnvAFbe9Kj1zdXql05B8xZ58+cWMboQByjAwnsGOuHqgLH5jMuOydbSFdaeAK6cp4rGWP+ghQEL9jfmF8pYHQgYWw6NUs553TLtTUQrtae86SjbWfFMqO5Em+5chNO/el7KvYTNtvWngpQzgGt6Lpm+0Zcs30jgIt8f48ZzOijnAeMk9x1vhYK9+rCmm2eMdu8btYotbWiu3jKl2QkImauxI6x6pTzjX2dU84B7yDQYln2PW72/ni5OBpRzptpawfMQErGas7MjumLR1CSFC1klc05b6JyftXkkDHSqla013DJ9fVXz2axbaSvqtySmOjeaP+XH89i01ACV00O+fxUMHfctAN/efAVfPe5OaM4Cup7DhubBhNYzpU9hYSFTNGVnM/u317rEZZ99LqdI/jf33gWkqzgBy/NY9fkBiRjIraN9OGgxyxvK8+eWPLtsb54YgDjHvkrqZhouEmDCtRKyjnb+G0krZ2F6NVTnI8O2DdKjpzJ4A0Xj1b8uet2DOOGC4cxsaH9G5ntJvBV3bFjh60wB4APfvCDLT0gwp/xgFnnQZZnYx6yj62dzeK17rLxXJXKuY+t3a/oLUnec84Be8Fm2Notu99Wa2dE4CHJqpYCrtvo2Y67U4VXFPNrVpw9yH5o83Fr36kTeB4cZy467KPUzER72aPn3EhrL3vZ2lvXc553zO/NlWSkExHkSlLgOLVc0Sd0Kh5BoSwjX5Rtiq5ncS5VLs7lBmzt2t/lcfHEgO+Il2TUTCy3hiRWCztPMo7ivODTzhHELVdN4H/+hyvw23/7FCIC5+o5NzehmmNrj3sURfmiXHNhCQDD6RjOrhawsFrAFXowkNG3OOdfnFezoB3qi2IpWzRHqtTRcw4AcysFXA7glF6cb2lScQ6YLSK5OnvOkzHBppwz5bcaOx/HcVUVoawNpVnKOds09OtVrhYzmNF7Mkm2IPm29ly9TQ+FO3bOXpzny4iKfMPPVctf4IwsDiuFsoy45bNy82XjePvVE67AJyfDHew5B7T33x0I5x3cCpibOl7n4kAyUtUIKS+MtPYGA+HY6+lMbLfex1lRki1IhjutGbZ2dr/Y55PSXg1+GxzH5iuPUWNEPd7Th348i1uu2lxTKKmV3Ts24pKJATxw8BX8/N7tALpLOWebX2eW89g+Zk8FX1gt2MLgAPO+4tVisKqP171q2wasFSU8c2IZh15eMDb7J0dSOPGolm7v93o/8coi3uHjYvjSL+3xXLMmooIhYAUGwun3Ub+ec0Y9ae2ioE36YJtftboLAS0UjtnaM/kyziznbRMugvj7/3Fz3e7JbiLwarRp0yb87d/+LY4dO4YTJ07gxIkT+NSnPtWuYyMcjA/GXT3YjCDbnqmcexeiRl+kTTnnjZ7MIDQl02FrF/x7zouSgqjPTd9asLE0SetmxKrF2skuCOzYy7Ji3NRdae0+o9QiVY5Sa2S2uNU6X5ZVQ92PCDzKUkBau6Vv1XocQH07ldXgOUqtqPV3btmQxIkAW3tQIByg3eCsiy6e56CqsNlPDeU8IFBIC4RrTrq0F4mYYJtznqixV5gVDauO/vxCSaqraPnYbVfgo1OX4f/7mx9jaa1k+4xGHNkKgHaO1R0I51Gc1xOKB7DE5AKeObGEy/X51WMDcfTFRc/E9rmVPKIiX9Uc78GkppyzIqCetHbAXLyfXMxhIBlpWFW1kogKhq2d57iaE9GTURF5S3HOlPN6si98/0aTlfNYRCtc63FaWGHnm9coKIDZ2r1fh9GBBDYPJfAjRyjcap2tSU7MfmXv0EfrZ2VypA//71dvqvi53zHej2u3b8AufWOh3cQ9HFNBo9T80toB7fx0Xvv8cLYeNCs1PRYRMJiMuG3tuZJNOQegh5VqbqN6i1Yrm4YSiEV43Hrt1soP9mEg6Z1bcvxsFtsqjFFjOG3tL59exZEzmbr6zRkcx+GOm3bgn354Ci+fXgUAz57zsGJMPPIQuBYyBVeffDwqIBEVsJS1ZxcUSjJKkoJ0Moqrt21ALMLja4eO48TCGm68cASA9tnPlWRDXXZydrWAY/NZXH/BsOf3kzHR87phXftVpZx7rF+sBXu9+UWpmFh3IJx2fAmjOGc5NNXY2gHtutOqNXCYCLwK/sM//AM+8IEP4E1vehNuuukm3HTTTfirv/qrdh0b4UAbBeGtnLMeOG9be3DPOVuMW4uranvOveZOa3POfVT6cvXKeTIqYGmtZCiZq8YCNeqaSV3yGKXGfpc2Ss0rEK6ycl4sa7PFq0lJ9iIqWu3rsiW0joeiqlAU1ew591DOnbb2/rjYshESUVFw9Xnmilrf9dbhVEXl3HPOua5QnMsWXbZ2wF1YApWU8/p7zqvBWhQ5lepqYOeJqzivQzln/Na7r8RdP30JAHv4CtvosSvnct09587PlPbftffdA1oo0ytzGZxczOFKvTjnOM43FG5upYCxgXhVC2RNOS/VXbAmoiLSCXPxfmpxramqOWBudK3pQYm1LvydPefLa9Ur59WSapLSzeA4DoOpaF0hQ1acIw2dZAve1xqGVyhctlBuOKmdkXK8N4x8qfbQR0B7T797z9sqpnC3Cq8g0KIUMOec9Zx7KufeSeNOvv/iPM7/b39vTF0AzM3ZRnvOAS300WlrX9HVTsC8jmYLZRQlpSmWdkBL2j71hffg2u3eI9SqYSAZRaYg2a7riqLi1bP2Vo0goqJ9o/1bT72GeETAzZeN131cAPDe128DxwF/9q8vISryDW/EtRMjVNkjsX1h1d1zDtjDRxlGi5EeIHfN+Rtx/4EjAIDX7dSKbfY++fWdH355AYDWalcLVndrYCBcFcp5VOR9cyUqkYyJOLtaAMfVFyg6ZqlljpzRNnp2jFWnnPcKFdPal5aWcOzYMeN/v/7rv96uYyMcjAUU58zy7B0I5y6ErHj1RYpVjF9jv9Nlaw8IWitK/nY5W3GeKeKSLZr1mClczOo1kIwYCwSmclpt7V5p7V4FbTQgVZ6x2mCft1M5N0apGTPQFeP7ouBWzq229mxBanjhG4T3KDUJyaiIrRtTOFGhOPcLhAOApWwJ0Uil4rwK5VxRG7K1V8Lec157iJvRc55zFue195wzOI7Db//sLjz44Z+yKTLsc1eW7a9h3Wnt+mfKuqjTCo46es7748bC+4rzBo2vBxfn1dl6B5NRLK3Vr5wDWk88C6Q5uZjDlib3sMX19ghtRGV942qsxSkL2Wqmus9s7c1SzgHgb+7ai/ft3dHQ72CbBX6j1DRbu//rcPX5G1yhcPWGenqRikd8A+HidbSAdJpYhHeNHSuWZdv12oqR1u6pnFfXc/5H33wBi5kizlimURi29joLBisjeluNldWcOe2A3c+zRc3W7ufmq4dGN7vYMVo3eOdW8iiU5apt7fGIYFs7PPTjWey9dKyujVYrw/1xvPOaLTg6n8WGvlhT3AbtIp2IIBkVfJRzn+Jcd2lZWXG0GL1u5wiyBQk7xvoxqt/DzhvWNntf9SnOHz+ygE1DiZpDSFPVFucBPedsTdPI9TARFbCQKSIV856aUYmxgTgWM0WUJQVHzmQwko73RMhbLQQW55s3u0dB/OzP/mzLDoYIZnwwgdV82XOMy2q+DI7ztphUsrUbyrnlg1x9WrtbydR6zn3S2suKr23NWZyz8DG2IWEoZamoYdfJG7Z2d1o7e75+ynk1PeerAUF71SAKvK3n3DrnXDtuxdgEsb6OMQ/lfNVnjn2ziEV4298D9ECwmIjzhlM4dc4/RX2tKHuee2yzaGmtaLO1ix5uDqmqQDj3dIBmYk9rrz0MjZ0nzrFzBT0sql44jsPUdVttNzBDObe0nzTD1m7tp82XvDddKsGs47EIbwu92THeb8zKtTK3nMdIFWFwgGalXNZH4QH1Wb1HB+I4a1HOmxUGx2DKec7nc1GJZEy0XedXcmUkokLT+sPZ39COtXm/84YLR1zBSrVSKRAuKK0dAK6aNEPhGE0tzmOC9yi1cmOf8U7hFQQa5PRhG+Nei+l0svKc8+Nns/iXH2tzfbOOcahAc3q/R9Nxj7R2s+fcUM7zmq29mZ+BRmG9xNbNheP6WK5KY9QY1nt5viTh+y+exVsb6IO3cscbd+jH2V3FFMdx2DTknnWeK0pYK0qe49+YS8vKqsOx9bqdmpX9Rv3/Ae2zMZiMGLPpnTx+ZAHXXzBcc2FrFNZx0SbmOOmLa9Zvr41hdq434iRKxUTIilq3vZy5GOZXC3pSO6nmTgKvgoqi4LOf/SwOHDiARx99FI8++ui6m3PeTWwKmHWeKWiFm5dCLHqolFaYUmhdhIuWwLIgZA8l02rZdlKS/BVEXi/Oc0Vt5vFljuJ82WInMubN6gs4TTH0HqWm+vWcV2FrN1Lw6+z1tCbXW9V9dqxlWTV6+60XW8PWblPOy01VzpzEo+4QGU0RF7B1YwpnlvMuhcX+OPeFmm2inMuWKtraS1UFwtWf1l4NCUtKdj1haImoAIHnPGzt9SvnflinMDC0DaDGbO2FsrlgzhVrdw8AMBY6l0wM2M7rHWP9OL2Ud9mCz64WjN3+SgylolBVbXrAQDJS1/kwNhA3HDmnFnNNG6PGiEXMtPZ6Nje0aRT2tPZmf/bNUWqt+zzVQ0TgjVF0XgT1nAOacg4ATx03E69X81LTNjZTsYinrb1YlpvWItBOPEepBVyvgnrOd25KI1uQ8JPZFd+/9+cPv2Rcu9YK7uI80mAgHKD1fs86NpPtPed6cV4so1hunq29GVw5OQSB5/DYi2eNrzF79HlV29rN9/SpV5dQlhXccOFIhZ+qjjdeOo7zhlOBo7zCyvhg0jbCCzBTx/2U8yXHesQp2Nxw4QhiER43XTpme9zkSJ/nGLaypOBHxxZ9+82DYNfsanr9xwcTngU4W9PUEwbHYPe0eotzdq+fW84bM84JO4Gv7K/92q/h4osvxj/90z8ZX3vhhRdaflCEN+OD/mmTQcqAqbD59JzrSpl1Ec7zfNU9586ALrYZICkKorz9Bh/U3yXwHBRFMcao7dychihwRiic1dbObIXWnnNW+Hr1nHuPUvNPlWcwe3K9qovWc85s7eYGgrVfuGwsSsxj5DhOV/btPef1jL6olpjoMUpN7zneujEFVdUKGee5p6qq3lvrr5wv50qutHbA29YeZIuUFRXxaAuV85iZWF9PGBpLynYW561YuJvtGxblXJKNEX614quc12HVZcX55VvtY3t26Dfho3MZXHGe+b1abO1MsTl+NltzUjtjdCCOI2cyyOTLWForNV05T+h9vGKxvlF0Xsp5M/vNAXNhFSbVEDBH0fmOUitIgarP2EAcG/pieP7UMn5mt9YGksmXq978qUQqLnra2utpgwkDca+e84BAuLGBBESBw9Zh92fmjZeOoy8u4h+eOIGLJ65wfX+tKOErB1/Be/ecjwe/d9QIOQWaN0oNAC4cT+P/fucIJH3EqqwoyBTMiSJ9Md3WzgLhQvQZGExFcd2OjfjOM6fxizdfAAA4Pp/F6EC86mLI2qL2w1cWEY8IhtjRKDzP4Y9/8fqq2h7DhpdyzsKHnWntgPZeONuw2JqQZS4MpaL48adudU1lmBzp87S1P3tyGfmSXFdxzq4v1bgW/vTOGz0nRbB1SCPFOTsP622TYD3xZ1byePl0BlPXnVf3saxXAq+Cv/mbv4lHH30UBw4cMP738Y9/vF3HRjhgJ/TcijuxPag4rzqt3aqc8xzkKi6+kuzu57aqwk6KZdm3p4zZ2tkYtZF03DbbfUVPq46KgrHgZYWEZCl8XaPUVBVeTuiIUDmtvRm29pLnKDX9NZIUY9PEaVOKibwtcbWZ1kwvvEbqsKC3rcPaRf6kR2J7saxoFiePBTO7iKuqfdHFWzZwGGxxtlaUfDdNJFlxZRw0k0RUNM6pesPQtOLcvtteKNcXFhWEucHjSGuvU3kSeN4VJJQryTUn1gOmrd3abw6YoS/WxHZFUTG/UptyDmjz0uvtUxtNa6NcmLrWEuW83IhybmYfAJpy3sykdsCqnIenMGHEA4rzbMCcc0Ar7i/bOoDnTi0bX2uurV30tLUXSlIoX8tKMJeHlSA1eetwCq9+/nbs9JjRHI8KeNuuCfzDkyc9f/ZvHjuG1byEX9UDLm3KudzE4nxTGmVZMRTnjD7phW1wxSI8RIHDmj5KLUzKOQDsu2ITDj5/xlizHZvPVh0GB2ivIVs7PHl0Ebu2bWhK0B7jTZdvwluvcre9hp3xwYSr5zxIOR9KuW3tK8aa0Lyub9mYcq2DzxtOeRbnjx85i4jAY9dk7dMZ2DW7mvvejReOGL3vVljrTb1J7YBFOa9TLBpJx8BzHJ49sYzVfJmUcw8CP6133XWX62vXXHNNq46FqMBgMoJYhPextUu+qqqXSmmFKYWJenrOPWztRtiZR4FVkhRfG6Wgz1ZnyvnGvpg2Pk7fjFjNlzGgX5RYLw079rJlvjMrWoxRaj7KedA8dsZakQXt1T9KTZIVqKqKsr6Lz74O+PecA+5Fk/YetzIQjvcszhNRAVs2aBd5r1A4cxSfv60dgKetXbH1nJv/7RcK5zcWr1loip2unBelumZ8p5MRz57zeKS5rgfRY9PN6iCpB6dimS/Wp5wP98fwO+/dhfe8bpvr64PJCI5Y1IiltRLKsmKE6VRi0CjO1+ovzgcSWMwU8eqCtnhqunIe1W3tdfbsJ2MiJFk1nDOtUM7ZcYVR7U1EBBQ85pzLioJcSa64KLxsyyCeO7ls/LtZo9QAbYHsNUqtW3vOndd9WdFCSoM2GoI2q3/muq145sQyjjoUR1VV8af/+hLecc0Edm5KQ+A5mwOhmbZ2tnHwkj7yy7nJznEc+mIiMoUyipYpKmHhTZdvwkqujCePLgLQXELnVxkGB9g32p98ZQHXbu/MmL6wMT6YsIUQAmZv/3C/R895yh0It5oroS8uVmyn2jaSwomFnKu98/EjC7hq21BdTjq27m2k3785yrmg/399axqB5zGcjuGxF+cBABdSce4i8Oz6y7/8S9v/7r//ftx9993tOra2MDs7i6mpKczMzHT6UCrCcRzGB7wT2zN5/35kVhD6FdsLmSJiEd72Qau+59zD1i64VVFGsdIoNdVSnPfHMDqQsNjaS8YClS2C1gIC4UzlHL5p7X6p8oy1ogyOq9/6GdXD8WRFtanHzHpclhXPnnNAswBbF5hB73EzYMFA1pTjXEkLtIpHBYwNxD3HqTEVKeWhsAq8OW7FuugKsrUDcPV5MSS5fT3nhbJclyW5PxHxTGtvtnIe8WhXKUtyQ4vbeESwjVLLleqz43Mch7t++lJXyA7Hcdgx3m9Tzuf1HsCxweoD4QBtPF/9xXkciqriqeNL4PWgoGbCPkuNBMIBpjNotQXKeSsC4ZpFLCIg79Fzvqa/HpX6xy/dMoijc1njXG7mKLW+eMAotRBudFTCGQjH7ND1nhdvuWozElHBpZ4/+sIcXphdwS+/5SLPefFlfRxqM0aFbhpKoC8u4qXX9OKc5dVYPkN98Yg+5zx4I6ITXLt9A4ZSUXznmdMAtNTvWpTzuB4Id3a1gONn12oe2bVe2TSYQKYg2TbPFzJF9Me954oP9cWwlC3Z1kTVbpROjvShLCsupf7xIwu4oQ5LO1Bbz7kfCaM4b4Jy3kD6//hAAodfXgDHAeeP9mZxPjMzg6mpKczOzrq+F7iKu/vuu/HII4/gwIED+M53voM//uM/xkUXXdSyA+0EExMT2L9/P6anpzt9KFXhN06tOlu7d3F+ZjmP8YGELTmy6jnnHmntrFj3+nvaiJbKtvZEVEAyJmJ8MGEEeCxbRqFERB4RgUe+JBuqtLPnnP39RtLamXJY78gQNkrNmOHqUPclWXV9j/H6i0bx2Ivzxo0hW2i9rV1RVdv7ZlWPtw6ncGLRndju1RZhhc1TrjYQDvAPhdN6CFuf1q6qat1haOlExLC+MbKF+hTUIARL4j/D2jpRD8mYaFPOC3Uk1ldix5g9sZ216Yx69Px50R8XjfOnkZ5zQLN8bh5KBCbf1kMiKqBQluq3tcdY24722WqFcs4WZ2ErTADt9fMapZZlI0MrWDIv2zoIRVXxk1mtOGumrT0ZE212bEax3J0957GIYMs2YW0t9Z4XqZiIfVdswv4nzOJcVhTc+/fP4NItA/ipS0YB6MWxLa1drrslxwnHcbhwPI2X9evMikd7WkrfHAgSDDqFwPN442Xj+M4zp1EoyXhtKY/JkerdPVFRc+48+YqmvF+3o/656+sJtglrXUMvZAqe/eaAdn8py4otnHM1X104p9es8/mVPI6fXaur3xwwC+t673uANa29c4FwgLYZv1aUcN7GVFduajaD6elp7N+/HxMTE67vBV6Rfud3fgdf/vKXcf/99+OBBx7Aj370I+zZs6dlB0pUZtynOA8as1Uprf3Mct7oZ2cIPF/dnHPVw9bOigaPwjcoEI7XZ6svZorYqO8Mjg/EcWaZzTkvYcByUUzqI23YcbqVc+3vK6r/nPNKxXmuwZAf1nPunOHqZWt3OhBef9Eo5lYKRiDJat6/daEZMGXXOk7NWlyctzFVQTn3PjazCKheOfcrzpVW29pjIgplGYWyDEVV65pRPZCM2nbmz2WLWM2XMVmD8lENxjg6Z895AwvNuKWVQlVV/fxv7jnnnHXORh6NVtlzznGcoZg30nMOAD86uogtTba0AyxkS8FavYFwUTaNQvtsreZLdU+M8IMVq40ssFqFX885CxCrZMm8ZGIAAPDcqWVI+uK6WcV5oHLe5NaVdsDG/jHYpkg8Wv915Gd2b8WTRxdxSs8o+dy3XsShl8/is++7ztjoTsVE23Wy0Y1FJzs3py3KuX02NaAVJ9mChKLU3DnnzeJNl4/jh0fP4alXzwFATbb2eERASVLw5CsLGEnHPXuPe5FxI7fJUpyves84B8z7i3U9spIrV3Ut9pp1/vgRbbOk3uKc3RcaSco309obUM6jjQXCATDa2Kjf3JvAK+Gdd97p+los1tgMU6IxNvkU50FjtrzmIVuZW84bFy1GI8q50XPuYRkvlv0tZFpau4qFTMGYlTs+mMD8SgGyoths7YBpQTaV59rS2rUZ5N6hQ4x8yTuFvFoiIqclssvMus7ZjtUeCGc/xhsuHAbPmSNVWj1Kjb0vtkAwS3GxZWPKWGxZ8RrFZ4W9ftYRX17FubV32m9WriSrrk2MZsLaJdgM7bps7XG7rf3YvHZzrmVxVQ1e7SMlSW5IBU7GzCAydh4k6wiEC2LHeD/OrhaM69jcSh59cbGmHjimHDRia9f+dgFbmxwGB7C8CKnuOfFOW/tyC5Tza8/fiK/8tzfg0i0DTf29zYD17DthPcqVVJ/+RATbRlJ47uQyMvrPNOvaqfWcewXCNb91pR04g0BZkFjMJ7i1Gt62awIRgcf+J0/i+VPL+MTXnsKHbrkYb7jYHDfVn7Bvcmjut+Zday4c78fLZ1jPuTmGlRFm5RwA3nz5Jiiqii9/9xUAqMnWrs05V/Dk0UVct2Nj3c6/9QZb51oT28+u+ivnrAhe0kOKAT37qIprSTImYiQdt+X0PH5kAZuHEnVvCPM8h5993SRef9FoXT8PWGalN3A9bDQQDgDG9Ta2C8bdwZJEhVFqv/3bv237d6lUwunTp/Gf/tN/aulBEf5otvZ609p9lPOVAvY4xmOJAmcb0eSHJCuuHmD2b+foNklWoKj+yp5ha8+YO5ljgwkoqoqF1SJW1sq4aJO5kEzphYRRnIs+ae1+tnaB90yUt5IrSnWpp/a/objU/YjFksyKUucGwkAyiisnB/HYT+bxH/dsQ0lS0NfK4lxfGLGeQ6acGsr5cBKnzmkBJ1YnwloF5ZxdwCvZ2qtRziWPAMJmwpLJWe5B3YFwll5KFozU9OLco32kLDemPsUjolEU5YwRi81VA990+SYM98fwK//3EP72196oj1GrbczVUF8UmKs/GCcRFY2Rd61QzjVbuz7FoM60dkDb+FJVFSu5UkNWRi94nsNt14dzhE3Cp+c8W6g+oPPSLYN4/tSyoc42SznvT0RQKMvGmC5Gviwj3uTPSjuIO3rO2ee/kXaHgWQUN18+jr87fAJf/bdj2D7Wj4/ffpXtMalYxDXnvLnK+QAWM0UsZApYzZUhCpzNBdfHlPOyglg6fMr51uEUdm5K4+8Ov4qoyNeUi6HZ2iX88OgiPvKOS1p4lN1FfyKC/rho6wNfzBRxic8GJbvmWkPhVnPlql1ekyMpHD+rFeeqquIHL52tWzVnfOmXX9/Qz8ebUJw3GggHwBideuEmUs69CLwSfuUrX4Esa/2Xqqpiw4YN+L3f+712HRvhwfhgHOeyRVuPGBA8A7tSWruncs5Vp5wrAbZ25+i2Sjvy1p5zq3IOaNb7lVwJAynzgpKIisgXZZcqzf6fpbX7WaGrtbU30nMr6hsApq3dPue8LGs93qLAee5us75zljbbSJ9QJVgvElNRmK2UKadbh1MoSYrNEgaYRZyfQtgX8yrO3SGFbKPEKyGVoW0GtbLnXDvWc/pOeT2qcX8iYpvVfmw+i439saYrn6Zy3jxbeyIqGP11LEyr2T3nI+k4vvjB1+Ffnz6NP/qXFzC/kq86qZ3BivJGClYWVtcq5byoj1Krpy3GVM4l5EsyJFltqWsmbMSjYqByXk1xftlWLbG96cW5fg3OONTzQpfOOWdj/xiGrb1Bq/fPXLcVjx9ZwHOnlvHFD77O1Veaiou2TcymF+d6YvvLpzOG88R6j+3T59WHMa2dse+KTciXZGzdmKopCDUe4XFiIYeVXBnXbacwOCtjg/ZZ5wuZgmdSO2A6s6wBtdX2nAOa2+HVs1moqop7vvYUDr18FlPXbW3g6BuHuQM7Hgg3yGztpJx7EfjKfvrTn8Ztt93WpkMhqsHomVkuYKve06KqKlbzUhVp7e5CtCwpWMgUXT3nosC7lG8vJFmFwDmLc+9RakUjaKZyWvvlWwcBWHuECpqdyGZr15VzR+HrLPwCR6npY878bF/5OsdpWf9Gqey23jOVX9KVcz+r9p6LRvG5b72IF06tAGhsNmUl2PvC3ienXf28jeY4tU1DZkHD1Cx/5dwM8WMYo9QsKahlSQHHARv6Yr5p7dp72cq09saV84GENkqNnVdH52sbg1MtpiPGHgjXiK1dsxPro+T04qgR54gf+67cjF9756X4xNeewuahBK7dXltg0VCDPeeAZm1/ZS7TGuU8/25CugAAWXFJREFUol2bSpLScFo7a/GwbkyudxJRwfgMWslW2XMOaOPU5lYKRltJszY2WZGfyZdtzo1ClwbCxR229oJRnDd2nf3pa7bgN2d+hLt++lLs2uYe5eVUMEuS0pQxaoztY33gOODl06tYzZdcVmQtO6AMRWnMwt9K3nzFJnz+2y/WfP+I6uGuHAdcQ2PUbGwaMltDD718FicXc9jmE7bHPt/WWee1hHNOjqRw+OWz+M2Zf8efPPQT/P5/usY1XrTdDKdjmH79+bjxwpG6f0eqCcX5JRMDGExGcMV5g3X/jvWM65X93ve+Z6RDb92q7fBks1nMzc1hx44d7T06woWhJK/kjeI8V9LCq+qxtc/rMx7HHWOM+Gp7zhV3erZfz7kzFM3rOJmtnQXCjaS1/z+9nHddFFmydNknEI49X0VV4SW2Ri3H6XdMa0XJc0RYtUQEHmsFcwOBvTa2QLgAq/aei7QL6ENPaaMW2qGcM4ujoYhb0toB4OTiGm6wXNhzRQlRkfedr81ev2ps7RGB15TzgOK8pWntMbtyXs9iuz8RQVlW9MW6iGPzGWxvQXHOcZzefmIfpdaocs5cC3m9XaFVs5v/v3dfie+/eBaHXj6Lt1/tTisNotFAOACGlb51yrn2OWqs51wyXBjpRHOdF2HG2QfNyBYk8BxX1efyMn2D9/EjCwCaa2sHYAszK0taC0MYx9JVIu5SznWHW4PPZWN/DC/+0bsCN22zeTMYstxk5TwRFTE5nMJLp1e1MaSOEK9ULIJMXoIocL6CQad5/cWjiIp8Tf3mAIwe+p2b0k13bHU7mwYTmD2Xx+mlHP7zfd/DDRcO4+f3etc2osCjPy7anHzVBsIBwHnDfTi5mMOfPPQTfPZ91+HOfTub8hwaQeB5/PkHX9fQ72D3p0YC4S6eGMDJP31PQ8exnnFdkY4ePYqpqSn88z//M8pl7eYTi8Vw/PhxfP7zn4ckuYNQiPZhtXkzshVse0Fp7ez3jDtspSLPuWzpXmjFkmPOOe+22wKVlXOe0/6mZmvXFs5RUcDG/hiOnFmFoqq23e9EVEtrrzcQjj0+yNqeL8mN9ZyLzlFq3j3noo9Ve7g/jksmBvCtH78GoHkLTC+cgXA5x4i0gWQUA8kITizYx6mtVZjlnIrpo9QqzTnXlZPBVNRmC7cS9Fo1A7a4Xsw21nMOmIv3o3PZls3xFHne9jkty2pD44jieqsIAKPnt9kj4BiiwOP+X9mD4f4YdozV9voMpbRNu0aVcwAt6zln1PP6sQ2RXEkylPPBJqe1hxm/nnMtW6W60ZY7xvoRFXkcelkL1GyerV17P1ctxTk71m5UzqOiNpmFOevYtI5mjNgLvi+IyFpHqTWYl+HFzk1pvHR6Fav5smtziwXSaXb6cL5vqZiI//MLu/H+my+o6efYfew6mm/uYnwwiZOLa/jPf/xvEHgOX/lvb/AVFgDtHsPEAs2l6nZh+HHV5BB4jsMfvf/6UBTmzYJ9rls5PajXcb2ykUgEBw8exFVXXWX72pvf/Gbs3r0bX/3qV/G+972vrQdJmGzsi0EUOMxZQuFWKxXnHqnODKM490hrl8rBxbmqz8R2hq2ZM7x9es5909p5LK+VIMmqbbTF+GACL+ojUQYsC9RkVMS5bNFQpUWf4lxR4LmYM5Vzf4dAriQZ6n09uEepOXrOJRVl2b3BYeX1F43i/z7yMoD2FOcsz8Aozi0Lzq0e49QqzXI2AuEs77uXJVtTzrUxWWy8lhO/jZZmwZ4Hs9TW02/N2ktWcmX0xSM4s5xvia0d0D7b1vO3JDWWeJyMmkVRvtj6gmPLxhSe/YOfqVmdb0bP+eahJAaTEds1pVlYFdR6ziGe54zNxxWPMVDrnbilvcJKtiBVneofEXlctDmNHx3Txhf1NWmTiV2Ds5Z+aXasYZwZXwkza0RBMsZb5py3Vk3uj4tYc/ScBxVJ9XDhpjS+9dRr2D7a56Gca2ntPNf659oIfqpuEOxee12N7UK9wKahBE4srOHMch4P/c99FfNOhlIxw9Zu5H9Uec+4dvtGvPbn7wnluMpGaIZyTgTjuiK99tprtsLcSjqdxvLycquPiQiA5zmMpuM4vWSql5kKYWF8gK19bjkPnuMw7ChAq+k5Z/3CvrZ2yf7zJXbTD0hrZ0XZRmtxPhDHS69pPdcDFqUsERORs4xSM3vOncq5d4iYeZz+49TyxcbmPEcE+yg1Uzk3NzBkJbhP+PUXmxbyVhbnrMfQUM5LbuV0YkMSp87Zi/O1CsV5X9Vp7domxUAyUiGtvfU954atvY6bD1NoMvkyjp9tzRg1htPhUpZkw5VRD3Fbz3nwiLxmkYqJtvT/arhwUxoj6TgGG+jD/i9vuhD7f/3NLRkzZC3S6n39ElHt+saU82bPOQ8zCZ8559mCf/CpF5dtGUSxrKA/Xvs55oeXrZ0dazcq507HVLMC4SqR0tPSGY225Hixc1Max+azWMwWXZk8ffEI1ooSCuXwKuf1wu7l1+2g4twJa2P6wzt2Y3cVzoJBS0AtE8JqaTFab4U5YK7P/YL0iMZxXQmZld2PXC4X+H2i9WwaSuCMRVlkiaf+tnbtbVZ8bO2jA3GPcWiVe87Z953FkrWf2kpl5ZwzeuCtxfnYYALH5rWC0NZzHhWQtwTC+dnaVRW+o9SAYFt7pcKzEoatPajnXFYDrdp7dmozLXmOa3pythVjkVZiPefu4mwkHceCI6gpV6Evn92crHZr57g7QNuoiIq87WboRJLbq5zX02/NPoer+TKOzmnFea227WoRHJtojaa1J/WCEDDT2sNYcLzlyk14+b7bGgoHHExFcfX5rQlLsr5m9S7OUjFNOV/NlyHw3Lpc5PkRj/gV51JNxfmlet95Mzc1+zxs7YU2FbStIB61B4GyzJFWP5d+PS2dZRyVJKWhlhwvdm5OQ1ZUPHdyxeWQ6YuLUFVgJVcKtXJeD9ftGMZ/3LPNCNYlTN5+9QS+/Vtvwftuqs6RMNRn2tp7caPUi20jfTh07zuwa9tQpw9l3eK6Ip04cSLwB44dO9aygyGqY2wggTMW5dy0tXsvWgJt7SsFVxgcwBS54OKcfd+Z1m72nHuntQfNOTeU8z67rZ2p9Na+y0RURK5oTULnjN8DmMq+nxWa7ZYH95xLDRXEEX2Umjut3dJz7hGqZ2XzhiS2j/ZV3WtZLzHD3ugYpWUpCobTMVeKcmVbu95zXiGtnaX1Dib9A+EUHxdEs0hYes4jgn/IXRBpa3E+n0EqJlY9F7VWRJ6D7Ehrb0QF0pRz55zz8BUcHMe1NLW/UZqmnBclLK+VXGOg1jvanHg/5bz6hfFlWwYBNLc4F3geqZhoU84LhnLefRsoziDQYlmGwHMtdSgBWruToqrGJkxLbO36mKZCWXapnew8khXV183XrewY68cXf2lPy9/DbiQqCnjdzuqTygeTUSytaWse1mLUSDvVeuGyrYM9dU9qN65P7saNG/F3f/d3ng/+8pe/jJGR+uP3w8js7CympqYwMzPT6UOpmgvG00YPNmDOfvWztQeltWvKubvnppq0dknxtrWb/dTeae1ByjlbkG1wFOcM6w02GdOVc9mu4Dv7mWXF3RdvPe6g4jzXYCCcKPAoS14bCDw4TlM6y1Jlq/aei0ZbPueYLVBYINCaR8/5SDqOhVV7P7iWaB9ga9e/5zVKzZnWLuqBcKv5sufov1bb2nleS+49ly3VNeMcsBfnx+ay2Dba17KbmLX9RFVV/TWs/2+xEWCAtjkTi/ChLoLDSqOBcICmuGu29nJL+uLDTDyqTeJQVfs9KFNDzzlgJrY3e8pFf8Juye7mQDjnpmyxLLelWGVBoew+EzQ1pV5GB+LGZ8epdlodGN2YFUC0B2sg3CpTzlu8FiN6g5mZGUxNTWF2dtb1Pdeq4aMf/Siuv/56fPOb38TNN9+MsbExzM3N4cCBA/jBD36Aw4cPt+Wg28XExAT279/f6cOoiV3bhnDfv7yAc9kiNvTFkMmXEYvwvjcY0TH328r8Sh6XbXVbU7RFf3AgHPt9zsU7W6A4lQ8jBdbnxs96AgeSEVshx4rzWIRH3LHo1QI67JZxVyCc6qecewfXWckXm6Oclxy2dva9anrOAeCjP3M5/sMN59V9HNUgCjxEgTNG6eRLmoJiVbyH+2PIFCQUSrLxXqwVpcCbVarKnnNJ1pQTFva1kivbNmm0xwS3ADQDFjRYr404IvJIRAVk8mUcm8+0rN8csDtc2P83NEotJqJYVqAoqrYxRYvWuog3QzmPCcgXJfAceq84j5gtR9b7WrZQxnk1pOtvHkpgMBlpelZHfyJit7WXmpdw3m7ijp7zQllpy/NgTr9sQcJIWnuvB5LN3RTgOA4Xjqfx5NFFz55zRje+b0R7GEpFcS7r6Dnvsesx0Rqmp6cxPT2Nqakp1/dcV8J0Oo0DBw5gfn4ed9xxB2655RbccccdWFhYwCOPPIL+/tb0ThLVc9U2rU/y6VeXAGgXjCA1wVCSPXvOCxj3sNwKPOfZo26FFbXOwpfd7JktlsGKvqA55wBsSe2AOfLImVacjGoqn5GEXuMotUq2dlagNKPnXHLMYmf/XZYq95wDWqDYW67cXPdxVEtMNO2kTBG3qr4sAGQhY6rn9QTCsc0I95xzzhiP5WVtl1psawe0zaVsobGsgf5EBKu5Eo7NZ1tbnFs20UqOYMR6SFgW6oUGXSO9TNzWc17fwj8V00Y9acp5b9komT3c2XeezdemnHMch6u2bXDdUxolnRDXTSCcszgvlmXb+dsq2OYnS71nbU3N5sJNmrXd+RlKWZXzdWZrJ5rHkD7aVVFUrOTK4LjmO3EIwonnymvTpk34x3/8R5w+fRqvvvoqtm3bhvHx8XYfG+HDBWP96IuL+PHxc3jjZePI5MuByiXPc+A42HpTAa34nFvJu8aoAdX1nMs+tnY2BsipnJeM+an+PecAXGopOz7nzTUR1VQ+psgzVdrpFFBUFV6uYlbElHyUc3b8yQb6CM1Rau5++4jAVdVz3k5iEcHsOS9KrsUmW+QuZIrGfOhcBVs7+5514eWX1h4ReON99irOZUWF0OI+OvacG1lopxMRnMuWcGJxrWVhcIA+Sk3fXCo5ghHrgS3KcyUJuQbzFnoZVvCIAle3VZf1nBfLcs/ZKJ0FI2OtWLYVVdXwZ3e+rukben3xiG2UWrsSzluBcR/UN88LZbktz4NtsrD2gLLU/DnngBYKB7ityP2W82i9pbUTzWMwFYWiqsgUyljNl9EfjzRt8gNB+BF4l9u0aRM2bdrUrmMhqoTnOVxx3hCe0pXzjH7BCELkeZetfTFbhCSrGPMozgWeq9rW7qX6soWlFaacx3xuhOz3bOz3K87tz5H1BK/qIR1MjeU9lXP3Td8cpeb9PFnvbaJO5QuwjlJzK+eiERbX2j7qWohHeGOhuVaUXUX3cFpXzi1955UC4SZH+rB9tA+TI6aC7FWcs0AgQzl3JLYrigpV9T7fmglT7RrZlEknInj+1DIkWW25cs5eQ2d7Rz2wYrxQkhseI9jLsOKmkXMoFRNwdrUAWVGxc1PwLN71BtsYcyrnmYJkK6qqYWJDsmnHxehPROzKeRf3nHsp560okp0wR9WaRTlvxd9loXCuOec2W3s47r9E+BhKaevRpbUSVnOlntsoJToDXZG6lF3bhvDj4+cAaLawSj11WrFtL87nlvMA4Kmce41SO7tawL7f+bYxA9q0tbtPo6THnNpiWQbHuZV2698EgI2O2YmpmIj+uOhKyGSFAxtvYZ3vLPCckQSuqiq8Mq1Yoexna2e2/EZGGDHreklSwHH2FoCIqPWcS7JiqP2dJh4RjNTeXFFy2ZqtyjnDq4i3MpKO46nPTNkWyX6j1FhaO+BWztlmUTts7UBjmzLpRMTYPDt/tIXKucXh4mzvqIe4xU6cK7mdE0R1GMV5A9eORFREviRhJVfqvZ5zY5PIvsGbrdDC1S764xGs5i2BcCXt3taOorbZuOecK21RzlMO5bwkt6Y433PRCN5+9QR26vZ24+9bru9+ggFBWNvsVvNlDKR6q8WI6AzddychAABXTm7AkTMZrObLWM1LvmPUGKKu4Fo5E1ic8y5b+5EzGRx+eQEvndaS4v1s7YC2uMo5FlZFSUFMFHyTq43ivM/dHzg2mHAr50Zxru28OwPHrGntQYFwznnsDKb8N6Ieaj3nqlF4Wp+7FhanQFbU0NjaoxZbu5etORkTkYqJOFuDcu6Fp61d7zlMJyLgOGA5V7b9TND51kzYc2nkfe9PRLC0VoIocNi6sfnKHUMUTIeLV+hgrVgVy3yDeQu9DFPi6u03B7TzcK0oawvCXus5j7iVc1lRkCvJ6AuBcpVORJApWAPhJMQj/ve2MMM2Qsw553JbAtLYFI8sS2uX5KaPUgO0zeH/96s3uT5DAs8b97coKeeED0N9ZnG+Qso50SZo5dWl7JrUEtafObGETL6MsQpzlEUPJfyMPlPc62dFgbPNoAZM+zdTNJkS71X4JqMi8q5AODnQPmYEwqXdxfmt127FNoc9mCmbpnJuL87NnnN4jlKrpJyzhWEjfbeiXoB7hd0YPeey0nKrdrXEI7zRw+9XdA/3xwzlXFXViqPUvDCLc/O1Z4FwPM95zjpnm0WtdhmwArWR9z2tLwTP25hqacuCdRPNHNfXuK09X5KQK0pd2UMbBjiOQzwiNLS5kYxqae0ra72rnOctPefmyNDOL1v6EiKyjkC4bv2ssDA0WyBcG55LROQRi/DG61iSlIZcP/XQl4ggV5JJOSd8YU6+pbUSVnLB+U4E0Sw6f5cj6uKizQOIRXg8dfwcMvkyLhgPts7yPO+ytZ9ZzmMoFfXcJbcqzwwWarakF02yT1o7oBXOTuVc6ynzvwnyetHlpZz/9nt3ub7GlPPVfBkCz9lUC2txXlE5r9hz3oCtXf8b+ZK7j0/ULe9lWW2JYlAPMaut3Uc5HU6bxXmxrCn/tYY0Bc05B+yzRRlSm5Rzppg3Yuke0G/g21sYBgdorwXb4GDncSPWUKutPV+SDUsfUTvxCN+Q+yIZE7GSKyFXkntOOWfFYdGjOA+Prd0eCNetLSDOEZpaIFx77kepWMRQzlvVcx5EX0zEPKjnnPCHOfmWdFv75qHeyv8gOgNdkbqUiMjj8q2D+PHxJS1BssJunihwrrT2uWXvpHbAW2lnqeZLes+5aTP26jkXjdmvjGJZDhxZIvgEwvnBFkOr+bJLLRQdxbmXcl4prZ3Z2hvpOWdKQK4ouV4nbc65ZnlvdR91tcSttnafGe8b++NGINya/hrVGnzlPedcNd6TgWTEFQjHitBWJ6Waae2N2doBtDQMDjDPIaA5ae1Ji62des4bIx4VG7p2JGMiMnpB2mtzdb0C4Vg6eq0bga2A2dpV3V2W7+LiHGBZI5ZAuDa5APrjItYKZnEeabOCzTZ6ujErgGgPViffaq6MdKK3NkqJzkBXpC7mqskNeOrVc8gWKlttvIrtuZWCrx3eK0DOz9bundbu03Neha292uKcqbqrubItDA7QVHjrKDWv4rfaQLhGFl1MEc8VJdcCgPWcS0p40tpjIm8s0vxs7SPpuKGcmxsYtb1GvmntTDn3sLXLbbK1J5ugnLNiqtXFuWj5nJabMOfcCOLS55w3kjbe68QjfGO2dsvPOsMw1zvMwVEoednaO79R0ZeIQJJVU20uycYxdyNR0dyULUrtCYQDtI0WtulSblEgXKW/D1AgHBHMUCqKpbUiVvOlntsoJTpDOCoCoi6u2rYBP5ldxdJaqa609jMByrkguEevsSKW2dqlAFt7Mia60tpLkhxoaxc4/0A4L9jidSVXcu24O23tXmorz3Oe9n1GvlSfKmyFWbDXipJrA0HUe87lEPWcxyICSkYgnHdxNtwfw2LGoZw3IxDOYWtfyXXI1h5rPGmbFRCtTGoHtM8pK8qbGQiXK0rIleSGEut7HU05byAQzrI51Gu2diMQzmJrZyMzK93r2gH7fLNQOK3nvHuXU9YRmu0KhAPYvPjO2dpZfgHZ2okgWJvdSq73wjmJzkBXpC5m1+QQFFVFSVKMmaF+iII7fX1uOe854xzQi1tXz7ldOQ+ytSeiguec86Yq51EWCOdWzm2BcD62dkBTGX2Vc308TiM3bqYE50uSawOBjVIry2pDVuRmYh2llg8IhDu76lTOaytkOY4Dz3FQHMU5Kyy9es7lgADCZsIKg0Zs7SzAa/tYG5Rz2d5z3si5FBF4CDyHQlnW3v8uVgM7zWAyaszIrQfrZ6/X1JqIqJ+Hlg3eBX1DcLjK+0MrYU411neu9Wl372fFet0vtrHnvC8uYq0oQdXXMe2+D6YMWzttQhL+aMq5Pkqtx67FRGcIR0XQQWZnZzE1NYWZmZlOH0rNXLpl0ChUKtnanXPLVVUNVM49e871xf85h63dS5VOeM05rxAIJ+hKdrUWzqjIg+c4z55ze1q7t62d/Q5/W7uWQt7IeBymBKwVZdcGgmZrVyEpSqhGqTFb+1pRQtJD+RtOx7GaL6NYlo3WhXpUZuc5Kelp7YBPIJxehLY8rV1/Lo2ktd944QjuuGkHLhxPV35wA4gWh0szbO0cxxmf3Vypu/toO83//aXX4WPvurzun7dujPSiWqOdh+YG70KmiHhEqLgR3Q6Yep+xFOfd/FmJWbJGCm2acw5om7rZQtkQDtoeCEfKOVEFg6koZs/lICsqpbUTTWNmZgZTU1OYnZ11fa/nr0gTExPYv38/pqenO30oNROPCrhkYgBAZaufVgiZRWimoNlWxwdr6DmXHcq5HNRzLtoWVgBQqjBKjec5bOiLVR34xXEckjFBt7UHFOeKCr9fGRH8i/N8SWpIPWW/H6jQcy6rEFpccFZLPMIbqfx+c66ZcrWYKRq29nqCr5zFudVBMJiMGu0TDGN0X6vnnLNAuAZs7Zs3JPEn/+WGlqfwa8q5IxCuwb8Zj2hFUZ4C4RpicqQPw/3BIy6DsG6MpROdL0jbjVXNBYCzqwWMpGOhmCXOirqs1dbexZ8VVyBcm5RkZmsvNWFjsb6/Tz3nRGUGU1G8enYNQO+5mIjWMT09jf3792NiYsL1vXBUBETdXLVtA4DKxbnT1n5mOQ8A/sp5FT3nwWntAnIeynnQTfDyrYN446Vjgc/DSSIqetrhnGntfso5s5Z7kSvKDamngPna5ErutHZR4FCWFMghUs7ZgpjNL/eyNY+ktYJjIVM0QvOaoZxrab3WnvOyzfYeNLqvmTRjlFq7EAUOEhul1oQ554D2XuaK2ii1RjeniPphn6n+uBiazbt2Eo8IKFg2eM+uFhra7GgmLlt7STbaYbqRmKM4b6etPVsoG2uL9hfnEYgC1/IJIER3M5SK4aw+oYbS2ol20Ht3/HXGrskhAJUTbJ029Tm9OB8b8O85d/aoM9sbG6XGigLvOefeo9SCbr4/91Pb8Re/8vrA5+GEFc9OtZC32drh33MeoJz7pZXXArNp54qSq2jSxmApKEvh6Tln9sayrM0v97S168r5QqZgjjeqsziXXLZ2UzlXVNUIXAIsm0EtXkix59zoxkw7EHjrKDXt89boAjceEbC0pn3Gvd5/oj2wa08vWtoBzRlmDYRbyBQxku58vzngtrXnS1LbQtRagT0QTmlrINxaQUJZv3a12mnk9ffbZeEnupfBlHkNHiTlnGgDJIt0OW++YhN2bRvCxIZk4OO0QsgsQisp5wLPQVFVqKpq2AgNW3uuBFVVjaLAq1hKeoxSK0kKhlLNXWgy67F3IJx2vJWUc/9AOO+e61pg9sBcUcIGRwp9ROCRLUih6jlno9TWdEXcq+ge1pXzs6sFw65fz6LKZWu3jlLTzxNrOqoU4NRoJizYqRtUY6vzo9ykvs1kTMC5rOaO6YbXYL3CNod61UaZiAq2Dd6zqwVsb/H0g2pJRAUIPIdMXrvHdXvPeTQioChZA+HaVZyLyBYlUzlv8yb1e/dsw7aRVFv/JtF9WNet6R7dLCXaSzjkOqJuLtyUxvd+++3VjVJz2NpTMdH35/zmUAOAJKvIFiQzPdujsExERRTLiq3PvSgF95zXA1vAOgu2akapAVohU5Zlz+81w9YbMUapyW7lXAxfz7mmnCvI673kXs8/FRORiApYWC1irSjXpZoDdncDoKe1WwLhANhC4YJG9zUTQznvAtXY2XPOc1zD51I8IuKc7o7pBvfAeqXnlfOIPVR0YbVotNR0Go7j0B8XDWdPoax0fc+5dZRau55LKiYim7fa2tv7Gk5sSOI/3DDZ1r9JdB9W5ZwC4Yh2EI6KgGg5zh7yuZWCbxgcezzgXZwDWtEkG7Z2j55zvbCxLq5K5eC09npgxWOltPa6RqkVpab1nGuj1Jw957xuHw+Pcs4WaZXmlw/3x/Se8/qt/wLPQbFs3pRl1TbnHLAX5+2ytZs95+FXjW0955KMiNj4a5OICljMaMV5I6F4RGOwvIdeHd2TiIpGHzSgtdEMh8TWDmjWdiOtvSR1dc95PKI5piS9naldvd99iQhyJdl4n9ttayeIamDKOc9xoZgWQax/6ErYIzjT2ueW8xj16TcHAEEvZiWH7ZixtFYKtLWzwsZanLdCOU/pmwDOxYTIa5sRLFDMT20V9XFmXjSj59wcpebVc86Fb855VAsGYu+b3+bEcH8cC5mCPm6t/uLcOUqNvV5snJ41sd1Ma2/ta3XBeD+uPG8Ik11gdxQtPedlWW2KLTQRFQzlvJsLjm4nIvKICHzvKueWcZwlScZKrhwa5RywF+daWnv3LtpjEa2FgFnb22Zr1+8dbBO23YFwBFENrDhPJxobrUsQ1bIur4SHDx/GiRMnIMsyZmdncejQoU4fUscRHbZ2TTn3L86ZkutUzvvj5s3UTGv3nnMOaAUuo9gK5TwWrJwrqv8sdkC3tUvetvZcU2zt2nFJsluNiAg8ypIKSVZargZXS1TUNjVYCrFf4T2SNpXzVJ32b4HzSGvXXy+mFi7nLMq5HLzR0izGBxN47HffHppk6CAEwQzV09LuG/98acW59ro3ujlFNEYyJvSscm61Wi+saptFLIwyDPQnIsgUzJ7zdiWct4K43s7EevzbFQiX0tcTS1ScEyGGOfmo35xoF6G6Ej7xxBO466678MADD+DOO+/EsWPHfB97+PBhfPazn8U999yDW265BQcPHjS+94UvfAGTk5MQRRG33XYbNmzY0I7DDzWiwENWzUJoIVMITL5lBZB1zFhJVgy1fWmtGJzW7qWcV5hzXg9mz7n9GFg/s1xBOQ9Ka883IRDOatNzhtYZc84VteUhZ9XCFBMzrdu7ONvYHzcC4eot4ESBs52TZdkcpSYKPPrjIlZy7be1dxMizxsj5sqS7DrH6iFusRN3c8jVemAwGcXGvvAUpO0kYVHOF/Q2i1Ap53G7ct4NbTB+sFFqbDOkfYFw2sYTK87D4iAjCCusOO/VjVKi/YTmblIsFvGe97wHhw8fxtjYGHbu3In3v//9+O53v+t6bC6Xwze+8Q38/u//PgDgb//2b/H2t78dL7/8MiYmJrBt2zbMzs5CURRs2bKlzc8knPAO5XwhUwxc9LE+cnuatoyRdBxH5zM4ly0ZBa/o1XMedfecV5pzXg/BPeeKqZz71CzBPeeNL7isRbd7zrkZCBeW4pwpJqZy6mNrT8fw+JEFjKbjdQfCWW3tqqptpFhfh8FU1B4Ip28GheW1CgOiRTkve7gz6sHaykDKeWf56kf2VpzEsV6JRwQUypoyzWYMh005X14rGX3a6yEQjm3KNXsT3Q/Wv8vaaEg5J8JIKiYiIvA045xoG6G5Ej766KNIp9MYGxsDAFx//fU4dOgQ5ubmXI89cuQIPvnJT+LIkSMAgFtuuQX5fB6PPfaY8ZjNmzdTYW5BtPScq6qKxUwRGwMWOn5p7YmogIFEBMs5zdbOcd6WcWY3t45TqzTnvB6Ysuf8vUKVynlEFAID4eotPBnW43LZ2kWt51ySwxUIB5iz7JM+mxPD/XEs6j3n9ae1myGFbEyfVfl1FecBGQe9SkQwR6mVJKUpny9rkUHKeWe5cnIo8Dq9nrEr53pxHiblXO85Z8fYzfkM8QiPoqQY98L2zTnXbe1ZsrUT4YXjOAymoj071pJoP6GRRY4fP26znwuCgP7+fjz33HNGwc644oor8Nhjj2HHjh0AgBMnTgAALrzwQgDA2toa7r//fsRiMTz88MO4++67cckll3j+3dnZWUxNTRn/np6exvT0dFOfWxgQBR55vVDOFrS5okGLPr+e84jIY6gvhqVsCf3xiG/Rayjnlp7zkqQ0/aafrNhzrv3bL609InAolPzmnDc+u9ZabLoD4bQwujD1nDPFhNkM/Z7/cH8My7kyVnKlwOyCILS0dlP1BeyvkZ9y7pcf0IuIAme8diVJboqrwLohQ8U50SniljnnZ1eLSEaFhjdLmwkbpcbU5m5WzqMO5bz9tnZSzolwM5iKYoDGqBFNYGZmBjMzM8a/Z2dnXY8JzZ1uYWEB8bh9Vzwej2N5edn1WI7jsGfPHuPfn/zkJ3HXXXfh6quvBgDcfvvtuOGGGwAAo6OjeNe73oXnn38evIf9emJiAvv372/iMwkn1jnni1kWruOvQnj2nOvK3GAyiuVcCZvlhKelHTDt5jlnWnvTlXPt77gs49X2nIs8SnJQz3lzAuEA95iYMPacm7Z2bTHsl0zKej9PLORwzfkb6/pbVlu7OefWUpzr5xlDMQIIw/FahQGBN5Vzr9DBemBFRizCNzwznSDqJRERkC+bynmY+s0BD+W8i4vzuN5z3u7inG22sDaqZgRaEkQruPXaLdi5Kd3pwyDWAU4R2CoQM9pSnH/uc58LDHfbu3cvBgYGoFrCoQAgm81ieHg48Hf/xV/8BcbHx/GpT33K+Nq1115r/PcFF1yAF198EU8//TR27dpV3xNYB4iWQmhB798LVM69es5lBamYiKG+KJayRb1H2Ec5N+aca8q5oqha8dBs5VxfEDkLX9PWrhUufkWmn61dUVTkS3LDxTnHcVpfsMe4NFHgUZbC1XNuBsKVAp87mzd8drVQ/yg1ztwwYgWm9XVIJ6OYP7Nq/Jts7W5EwbLBITfH1s7sud1s0yW6n3hUtCnnYZpxDliLc+0e1y4reCtggXBtT2uPMVs7KedEuPnEz+7q9CEQPURbivMPfehDFR/zyCOP4Itf/KLx72KxiEwmg8nJSd+f+eY3vwlZlvHpT38ahUIBZ86cwZkzZ7Bv3z5Dic9kMgCAaLS3gxwEnjNswUw5DwyEE9xzzq3K+blsEZKi+irSrMjLFbWbfVEfV9Z05dywtXuntbP9niDlvOxRnDPFxm/Ody1ofcHufvuIwKEkaaF1YSk42fuzlK1QnFtcFw0FwulvEHsPrBsY/XHRSEMGEDgdoFfRRiSaPefN2ORhn6lEiCzERO8Rj/CGkruwWgjdaMP+eATZorRues5VFcgUtOtts+/TfvA8h1RMNJTzaEg2qQmCIDpJaK6Ee/fuxfz8PE6dOgUAOHjwIHbv3m0U5wcOHMCzzz5rPP7RRx/Fa6+9hltvvRVnzpzBQw89hNOnT2PLli24++67DYv8Y489hj179uDSSy9t/5MKEYLAm7Z2fSxNNYFwimfPeRRL+pxzP9srx3FIRAVjcVUstyZoxlDOXT3nPKQGRqmx+ezNGI/Djs2r55wt7MISCBezjFILLs7Nc6du5dzi5jAD4czXqC8eQbZgZhYYo9RC8lqFAVHgjQ00qVnKuf6ZasbGFEHUSzwqIl+Soaoqzq4WQhUGBwD9CRGqat5Pu93WDgCrOb04b+NGQ19cNHrO6dpOEAQRop5zURTxwAMP4N5778WNN96IgwcP4sEHHzS+f99992H37t24/PLLcfToUbzzne80VHHGysoK0uk0rrnmGnzmM5+BLMt46aWX8PWvf73dTyd0iJbwrcVMEf1xMfAGLHr0nJd15XwoFdOL8+CU8URUNIrckq6cN9u2ZgTCedjai2XVeM5+gXBaoJaHcq4XzY3OOdf+Bu95jBGRN0a9+fXut5u4ZZTa2ID/YrgvLiIW4VEsKw2ktXsU56L5PjHbKMO0tYfjtQoDoiVLoiQpTVGeDFt7F89tJrofVuwWywoWM0WMhNDWDgDzeptYvIs/L2wtsKJnfLQz3K4vLmJupYCoyPu2nxEEQfQSobqb7Nu3D/v27QMA3HHHHbbvWQvs7du3Y3V1FX7ceuutuPXWW1tzkF2K1da+UGGMmvZ4d88562llKdqS7G9rBzTljRW5hnLe7OLcRzmvPhBO8LS1s02FZsx5ZhsSXj3nDGfh3ilillFq54/2+T6O4ziM9Mdx6lwOqXj9yrmin5PsPRCdtvZCGaqqguPMed6U1m4iCNoGj6KoTbS1s+K8e5VAovthm0T5soyzqyEMhNOTxtkM9m7+vMSN4ry9tnYASMUiyBayxlg1giCIXiccFQHRclgoGYCKM87Z4wF7z3mxLCMiCBhKRbGaL6MoyYG90omYaMw5N3rOm2yXS1QcpRasnEfFYFu735zvWmD98M6+eOu/w9JHzUap5aoIw2MBTfW+RtYwMzYOzKr89iUikGTV2NhRAgIIe5WIZeRhuWmBcNr72YyNKYKoF6beruRKyBQkWytNGEgz5XxFK867OxBOu26s5EoQBa6tAaV9Ce97OEEQRK9CV8MeQeR5oxBazBaxsUK4DisWbWntkqmcA1qRX1E51wPhvEZlNQNWGPqntdc3Si3XxPE4Rs+5Y0yMdTESlqLTOkKnUs8xC2hK1Wn9FzgvW7tVOdcWvyykSJsHT5csK+z1KMuK8flsFKact2ucEkF4wa69pxbXACB0ynlfwqGcd/HnJWZRzmNtHmfWp28CUlI7QRCEBl0NewSeN23Bi5liYFI74DPnXFfmNvRpxflCphg4BzkRtSjnLQqES/jY2nmncu5zmBGftPZm2tqNnnOXcm4pzkNSdIoCb7z3FZVzXclqVSBcv66osL7zoOkAvYrV4VKSlKaoT6zIIOWc6CRsc+jkYg4AQpnWDmhJ8hxnqs/diBEIly+33QGQ0l9HKs4JgiA06GrYI4gCB1mupedcT2tX3Wntg0m9OF8tVgiEs/Sct2iUWtJnlBrrsZcrBMJFBN4nEK75PefOxYet5zxElj62UKtkV2fnUEOj1CxJ44DdQdCnL9pYYrtMtnYXbHNMkhWUZaUp2QXMTtzNPbRE98OuQ6ZyHi5bO9s8nF8tIB4RujrMzBoIF2/zJgPrNafinCAIQoOuhj2CzdZeVc85W/S7be1Duup+drUQqGRqxbme1q4r59E2KeeCnk6vVAgR8+05LzV3zrnXMVqTycNUdLJFUqWNCWYzrXcDw5bWLmn/b1fO3bb2IKdGLyJae86bZGtnmzLNyFsgiHphm0QnFrTiPGzKeVQUEIvwmF8pdH0LSNxWnLfZ1h5nrWnd/RoSBEE0C1rp9giCbmuXFQVLa8WK4ToC5+45Z6Oahoye80KgHTsZE9unnDtVaX0zgh2+3yZCRJ9zrlocAgCQL0rgOa4pxQ4roFyj1CyFaJjs2mxRXGmMHJs7XL9ybs7oLsnuUXv9cbutnZRzN4atXVZQkptjazeU8yaMESSIemGj/E4t5tAfF9s63qta+uMRnF0thvLYaiFuBMK139bOHFLNGANJEASxHuj5q+Hs7CympqYwMzPT6UNpKVpau4KltRJUFTWktVt6znVlLhEVEBV5LOfKFW3trHe7VT3nyaiAn75mC3Zt22D7ujMQLiitHbA7BABgrSghFWuOVTEqeqv79kC48HwU41X2HF9z/gZcNTlU8Vzyg7kbAFM5t74Opq3dqpxTcW5F5M3ztyw1x9bO3CiknBOdJGFRzodDFgbHSCciKMtKV4fBAY5AuDbb2lMUCEcQRA8yMzODqakpzM7Our7X86uviYkJ7N+/v9OH0XIEXUleWC0CQNWBcKy4lRUFiqoiIvLgOA5DqSjmVgqBM6eTUYtyXm7NKDWO4/DXd+31PH5rIFxQWjughd1ZC5t8STbGtDWKOUqtO3rODVt7BTXoivOG8G+/8/a6/45Xz7n1dUjFRHAckMlbes6pOLfBXi+piaPU2OYM9ZwTncTac37Z1sHOHowPrPWm25VzltC+mi8hFulv6982be3huQcSBEG0munpaUxPT2Nqasr1Pboa9gisEFrMasV5JSVC4O2KMuvLZjdxNk4tyNaeiJk9562ytfvBVzlKjRU3zsT2XElqSr85YC46nIWTNcQuTHbtapXzRvFMa7e8RjzPoS8mmj3nihoqh0EYEPTzpiwrTUtr5zgOExuS2Lwh2fDvIoh6YZtDuZIcWuWcuXu6fSOLqeWSrHag55zS2gmCIKz0vHLeKzBb+2KmNuWc2Y6dc8qHUjHj9/qRjIpGsBqztbfrBqwVfoo5Ss0vrV0050RbyRdlo+exUVhB6Sws7aPUwlOcx6pMa28U71Fq9tehLxFBlo1Sk1Xf97FXYeeNrKe1N+vz9cTv/3TFzAGCaCWiwOv3LTV0M84ZLLE9HunupRTHcYhFeBTLSgd6zsnWThAEYYWuhj2CyJTzTBE8x2EwFQl+vKPnnBXnrJhlPx/UAxyPCsjrPeclSUZUt8S3A2fPeUVbu0M513rOm7Pg8hulZlWJhRApwp1Qzo3zy/E69McjyBij1JRQOQzCgGi1tTdJOQc0uy4l4xOdhl2LKgWYdoo0s7V38YxzBnutO6Wch6m1iyAIopPQ1bBHYGntC5kihvqiFRfezp7zsp9yHthzLiBfZmntStss7YC5GcGUf789Ab/iPF+SmpZW7TdKLaw958zi2GrllLkbAE0VFwXOtXnTnxAdae3heZ3CAPv8SbJqBDYSxHqBFYrhVc5Zz3l3K+eA6Zhq530aAFKknBMEQdigq2GPIAo8JFnFYqZQlQohOnvOZWdxrvWcBym+iaiIYlmBrCgolpWmzzgPotpAOFYUl/SeeEau1DxbO7Nqu3vOQ25rb4Nyzt6fss8YsL54xJLWrhoj/ggNUzlvXs85QYQF1ssdVuV8vfScA+ZGSNtt7ZTWThAEYYOuhj0CK4QWM8WqRl+xYlbysR0P9UVtj/OCKa/5koySJLd1R77aUWrMWu4cpZYrNi8Qzuw5tx9D6APh2txz7lVY9icstnaV5pw7YZ+/sqT1nFPiMbGeYIp0WJVz09be/cV5rFO2dv01jIjd/xoSBEE0A1rJ9QhsET+/WqgYBgdoSdkcF2RrZ2ntQXPOtYVVviS3PWiG53lIigo2pt2351zwtrXninLTlGOz59z+/MM657ydyrn1/PJ6DfrjIs05D4BtVrQ7cJEg2kGiS2zt60M5164dNOecIAiis9DVsEdghc/cSqEq5RzQiyfZHggXdY5SCygqmfKaK0pGIFy7EHgOiqIaPc1+yrnZc263tedLUtOUY7Pn3H4MYliLc/01SbWl59yqnLvfo754xOg5l2SVQsocsHMrp48sJFs7sZ6Ih9zWzorzdlvBWwEbk9qxtHa6dhEEQQCg4rxnYAr33HIew/3VqRAizxvFE5tT7gyEC1IyExZbe7GsGDf/diAKrOdc+7dvz7nPKLVcSW5aIJzvKDXLZkWYes6ZrbFZPfd+8BxntBOUfcLMtJ5zrfBUyNbugp1Teb04J/WJWE8YPefpkBbnemG5HpTzTtna4xEBAs9RSw5BEIQOXQ17BFacLmar6zlnPyM5bO3mKLXKtnarcl6UZETbaJcTuGpHqWkLEbetvXnKue8otZD2nJu29lYr57xFOVf9e87zpq09TJsYYYC9HrmitnlGC1xiPRGLCBhIRlwtQWFhfdra2/tcOI5DX1ykjUWCIAgduhr2CMwOrKqoujhn6jNgsbWzQLgq0tqZJTFfllGS2qucO9Paed+0dj1Qy6mcF6Wm9Vz7jVKzp7WH56MYj/CIRfiWW8idae1+PecZ1nNOo9RcCPr5mydbO7EOSUSFqp1enaB/XQbCtf8asmkoGdrWBYIgiHbT8yu52dlZTE1NYWZmptOH0lKsymy1N0HNduzsObcr54Fp7aw4L0ooluW2Bs3UmtbunnMuNy2t3W+UmvW1C5NyPpCMYkMVoYGNYt38kXySxvsSERTLCsqSAklWfTdZehW2qZMv2dtOCGI9sLEvhq0bk50+DF/6jVFq3T/nPN4hWzsAPPSb+3Dnvp1t/7sEQRCdYmZmBlNTU5idnXV9r/vvKA0yMTGB/fv3d/owWo61EKwmrR3Q+lmZslly2NprSWvPlWQUfXqKW4VmyVegVlDOmV2ybCnOFUVFoSwj0STlnKm9zo0MjuMQ0V9jLkTzu3/h5gvw1qs2t/zvVBMIxxa/mUIZskK2dieioZzrtnZSzol1xD0/uwtlR1hnmDAD4br/c8eU82gHivNq3XwEQRDrhenpaUxPT2Nqasr1vZ4vznsFa1FTU885C+yS7cqcKPBIJyJVzjmXUCrLxjzTdsDzHFTVnF9eyyg1lnzdrLTyqMgjKvKeBXhE4OAYsd5xUjERF25Kt/zvWIvzkt8otYR2icrky5AVFdF10NvZTJhybqS1k3JOrCPYJnBYGUxFEYvwobbeVwtrQ+uErZ0gCIIwoeK8R7D2D1fdc8579JxbFv+DqWigHZvZ43JFTTnf2MbCgRV6rJfcbw8hImrfsBbnTIVsllXx+guG8Z7XbfP5+zy4sFXnbcJanEuyf1o7AGQLkj5KjZRzK+z8LTBbOynnBNE2UjERT37ynThvY6rTh9IwbITmehgLRxAE0c1Qcd4jsCI6HhGQqtKuzazhgMXWbln8/8Ibd+DKySHfn+c4DsmogHxJ6zlvZ+IuK+JYce5X1Ak8b+utB7QwOABNS2u/4cIR3HDhiOf3RIEHB8Xze+sdnuMqprWnE1Zbu0q2dgcsS2GtSKPUCKITbBvp6/QhNIVOjVIjCIIg7FBx3iOw4nRjf6zq/mZrYBebQ2392bunLq/4OxIx0Zxz3uZRaoDZS+4XCAdoBY3N1q4XOs2acx5EL/cICzwHRd/80XrOvZRz09YuKUqogvPCAMdxEAXOcHtQmj1BEPXQyUA4giAIwoSK8x7BKM5rSOHmed7o2S7VGeiWiAhacS7JbR+lBpiKf5AdOiryKFmVc73QqdZh0AgRgYOq9mbBaQuEk7wLb6etnQ/RyLmwIPI8pbUTBNEQRiAcXUMIgiA6Cl2FewSmqNWSiiryHBTWc+6jbFYiERORK0lacd/mUWoAjKI7qDiPOJRzNjM60YbwsYjA96zaqbVNWNPagwPhFLK1e6Ip52RrJwiiflgQHCnnBEEQnYVWcj0CK2qqnXEO2HvOy3Uq58mogHxR1uact1E55x3KeZCVPyrytlFquaKmQjar5zwIUeA9R4j1Ak7l3Ov8EngeyahAtvYARJ4zztle3eghCKIxWFFOgXAEQRCdhWztPYK157xarD3nddvao5pyXpSUtt70WREnyUrFhO+IwBvBcYC157wNtnaRN17jXkPg+YqBcADQl4ggWyhTWrsPgsCjUCblnCCI+jEC4WhcJUEQREehlVyPUI+t3TrnvN7iPBnTes5LZbm9gXAW5TwoDA7QivNWzjkP/ttcz6rBNuVc9p5zDgD98QgyBQmSohpzvQkTq3JOxTlBEPUQI1s7QRBEKCDlvEcQDFt7vIaf4S3KuYxIHbb0RFRErqgr520sHIy09iqUc6etPV+SIfBcW5LURYGHKPSqcq69L4qiQpIVRHzOj/6EiExeG6Um9OhGRhARgTd6zns5/Z8giPrZNJhEIiqgXx9fSRAEQXQGWsn1CPXY2jVl0xx1Fa1j4a/NOZd15b2dae3asZYlBZWc0F6j1JJRoeqRc40Q6fGecwCQFVUPhPN+Hfrimq1drmKjpRcRBQ65kgyOCw4+JAiC8OOnLhnFC394W1umlBAEQRD+9HxxPjs7i6mpKczMzHT6UFrKcDqO80f7cOmWgap/xtpzXizXZ2uPRwWs5EoA0DFbe8Wec+cotaKEZJsWKBGB71mrtrU4L0n+0wD6E2RrD0LgeeSLEqIi35YNJYIg1h8cx9W0eU8QBEHUz8zMDKampjA7O+v6Xs9vkU5MTGD//v2dPoyWk05E8PRnpmr6GYGz95z72Y6DSEZFLK/pxXk7lXPB0nNeTSCcZJ9z3r7inOtZq7ZRnKsVbO1xEaeX85AVtWf784Ngynl/vOcv5wRBEARBEKFnenoa09PTmJpy12YkQxG+iAIPWTUDu+pKa48JWNaV847MOa8iEC4q2tPa8yWpLTPOAb3nvEfVYLutPSCtPR7RRqnJCs0594AF6dEYNYIgCIIgiO6GVnOEL3wz0tqjIlZyZQBtVs756kepOXvO14pyW2acA5qlnnrOWc95gK09r9na+R7dyAiCbVhQUjtBEARBEER3Qz5IwhfREghXkuS6kqCtCnRbe851tbwkV2drL0my8e98G3vOzx/tQyZfbsvfChu8ZQOlLAWNUhORLZShkK3dE/aaUHFOEARBEATR3VBxTvgi8BzKZT2tXVLqGrFiLXLbm9ZefSBcVORtBXKuJLfN1v5709e05e+EEesotUpp7Zl8GQLPka3dA7apQWPUCIIgCIIguhtazRG+iIJlznm9PedW5bydc871Iq5cRc95ROBRls1Z4yu5Es16bQM2W3tA20R/IoJcSUaJRql5wjIL6glsJAiCIAiCIMIDreYIXwRXz3ntarLd1t4+5ZypieUqCrqIo+f82HwW20b6Wnp8hFlUVgqEYxslxbK/9b2XIVs7QRAEQRDE+oBWc4QvWs+5ntZeZyBcImq1tbfvdONtae3Bj9XS2rWe83xJwuy5HLaPUXHeaqyj1Mqyf+HdZxkRRrZ2N+w1IVs7QRAEQRBEd0OrOcIXnucgGYFw9ae1M9qpnBu29hrT2o/PZwEA28f6W3uAhPG+FMvaxoifLbsvbrYYVAr360UEgWztBEEQBEEQ6wFazRG+2HrOJaWuxX8i1tme81JZAVdFzzkrzo/qxfkOKs5bDm8U59pr7xcIl7b0/5Ot3Q2NUiMIgiAIglgf0GqO8EXgOch6z3m5zkA4q3IebadybhmlVk3PuSTrxflcBsmogLGBeMuPsddh70uBKedka68LSmsnCIIgCIJYH/T8am52dhZTU1OYmZnp9KGEDmvPeUlSEG10znmH0tor2tqtyvlcFtvH+iuq7UTj1GNrp7R2N9RzThAEQRAE0T3MzMxgamoKs7Ozru/1/JzziYkJ7N+/v9OHEUoER895pI60duuc81ikfcUDS7Auy0rFmeXWnvOj8xnqN28TzN1QSTnvT1iUcypAXbBNDbK1EwRBEARBhJ/p6WlMT09jamrK9T1azRG+CLa0drmhOecCz0Hg25/WXt0oNcGinGcoqb1NsPclXwouzqOiYGzskHLuRiDlnCAIgiAIYl1AqznCF4HnHXPO6y/O22lpB2BsBGij1CqntZdlBSVJxomFHLaPknLeDoye8wrFOWBa20Wf0LhehrkJSDknCIIgCILobmg1R/giChwUVSvOi3UW53E9BK6dY9SA2nrOIwKHsqzg1bNrUFSVktrbhDMQLqjwZontpJy7MXrOqTgnCIIgCILoamg1R/gi8BwkWYGsKJAVtS7bLMdxSEaFjhXnJUlBpWw3Zmt/ZS4DAGRrbxNsPjcLhAva/GGJ7WIbWyO6BbapQbZ2giAIgiCI7oZWc4QvLK29LGnqeb222URMbLutXbT1nAf/7ajIQ1WBl0+vIhbhsXko2Y5D7HmqHaUGkK09CLZhQbZ2giAIgiCI7oZWc4QvWlq7ipI+A7zexX8yKrR1xjlgFn6yoqKS2MpGxP3ktVWcP9pvhMkRrcUszrXzK8iW3U+2dl8EgWztBEEQBEEQ64GeH6VG+CMIPGRFRUkKnkNdiURUbLuqZy3iKs4514/tJ7Mr2D5KlvZ2YYxSK0kAgsek9eu29nYm/ncLzHFAtnaCIAiCIIjupmtXc4cPH8aJEycgyzJmZ2dx6NChTh/SukPgOciygrLUoHIeE9o64xzQet1Zr7lQoemcFYUvvrZCM87biEs5J1t7XbAWDrK1EwRBEARBdDehWs098cQTuOuuu/DAAw/gzjvvxLFjx3wf+4UvfAGTk5MQRRG33XYbNmzYUNfvIfxhPedsBnhMrM+aHo+IiNb5s43Air9KNnVW1KzkypTU3kbY+1M0es793yfD1l4p3a8HoVFqBEEQBEEQ64PQ2NqLxSLe85734PDhwxgbG8POnTvx/ve/H9/97nc9H79t2zbMzs5CURRs2bKl7t9D+GP0nEuVe4KDSMYEKIrazEOrCi1tXq3a1g5QUns74R2BcEHFJbO1B1nfexVKaycIgiAIglgfhGY19+ijjyKdTmNsbAwAcP311+PQoUOYm5vz/ZnNmzfbCvN6fw/hjSjwkGQV5QYD4cYHExgdiDfz0KqCpVhzFdTWiK04J+W8XbjnnAfY2hNka/eD9eFTcU4QBEEQBNHdhEY5P378uM2aLggC+vv78dxzzxmFtpW1tTXcf//9iMViePjhh3H33Xfjkksuqfn3zM7OYmpqyvj39PQ0pqenm/zsuhPBYWuP1rn4/4M7djfzsKqGFX/VKucRgceWDTRGrV2w9yVfqjxKrV/vOefJ1u6CbViQrZ0gCIIgCCK8zMzMYGZmxvj37Oys6zGhKc4XFhYQj9vV1Xg8juXlZc/H33777bjhhhsAAKOjo3jXu96F559/vubfMzExgf379zd8/OsRgeegqKrRE1zv4j8V68xpZvScV1LO9aJwciRFtuk2Usuc8/4Es7VTce6EBcLRKDWCIAiCIIjw4hSBrQIxoy1V0+c+97nAULa9e/diYGAAqmrvS85msxgeHvb8mWuvvdb47wsuuAAvvvginn766Zp/D+GPq3jqssU/X6NyTpb29sLaDoxAOLFyIBxtnrgRaZQaQRAEQRDEuqAtxfmHPvShio955JFH8MUvftH4d7FYRCaTweTkpOuxhw4dwr59+wyVPJPJAACi0Sguvvjiqn8PEQxb9OeKTDlvf+J6I5jKefDjWFGzg8Lg2op184fnuMAZ5m+4eAyf+NldOG9jql2H1zVQWjtBEARBEMT6IDSrub1792J+fh6nTp0CABw8eBC7d+82iuoDBw7g2WefBQBs2bIFd999t2Fff+yxx7Bnzx5ceumlFX8PUT1sbFU1adphRKxVOR8l5bydWEepBanmgNYa8WvvvLTiWLxehOacEwRBEARBrA9C03MuiiIeeOAB3Hvvvbjxxhtx8OBBPPjgg8b377vvPuzevRuXX345tmzZgmuuuQaf+cxnIMsyXnrpJXz961+v6vcQ1cP6e3NFCUD32WarDYQbSEYRjwjYdf6GwMcRzcUcpaZ03bkVJtjnlCz/BEEQBEEQ3U1oinMA2LdvH/bt2wcAuOOOO2zfY8U349Zbb8Wtt95a8+8hqsfZc95tyly1gXCDqShe/fy7kexQcF0vI/AcCiWJivMGYL373fb5JAiCIAiCIOzQao7whfUAM+W82xb/RnFehRWaCvPOIPAcCmWFVN8GoFFqBEEQBEEQ6wNazRG+1DKHOozw+uYCzcYOLwLPaT3nNCKtbtgmGm1wEARBEARBdDe0miN8MXrOSxJEgeu6MK5qe86JziHwHPIlmVTfBiDlnCAIgiAIYn1AqznCF6PnvCQj2oWqnFiDrZ3oDJqtXSbVtwGYo6UbP6MEQRAEQRCECa3mCF9Y0FSuS5VNQzknW3toYS0H3dYyESaYch7pws8oQRAEQRAEYUKrOcIXY9RVSUJEFDp8NLVjBsJ1+EAIX5hiTsV5/bBNNHoNCYIgCIIgupueX83Nzs5iamoKMzMznT6U0GH2nMuIdaEqx1PPeehh701EpPeoXq6/YBi/N301doz1d/pQCIIgCIIgiArMzMxgamoKs7Ozru/1/PyoiYkJ7N+/v9OHEUpES1p7N9vaKa09vBjFudB9zoywEI8K+O9vv6TTh0EQBEEQBEFUwfT0NKanpzE1NeX6XvdVXETbYCOa8iWpK/tZa5lzTnQGUs4JgiAIgiAIQqP7Ki6ibTBbe7cq56wXl2zt4cVUzrvv/CIIgiAIgiCIZkIrYsIXgWztRIth7w2NUiMIgiAIgiB6HVoRE74I1rT2LuwJFigQLvSQck4QBEEQBEEQGrQiJnxhhVO3zjnnSTkPPWZxTu8RQRAEQRAE0dt0X8VFtA1mNS50aXFOynn4Ye9NN55fBEEQBEEQBNFMaEVM+CJwTDnvzrR20VDOO3wghC8sdJB6zgmCIAiCIIheh1bEhC+scCqWla5UNs1Rat137L0C9ZwTBEEQBEEQhAatiAlfrHbwaBcWTwIp56GH5QFQcU4QBEEQBEH0OrQiJnwRLIpzN9raqec8/LBzLCLSe0QQBEEQBEH0Nt1XcTWZ2dlZTE1NYWZmptOHEjpsyjkV50QLMG3t3TeqjyAIgiAIgiBqZWZmBlNTU5idnXV9T+zA8YSKiYkJ7N+/v9OHEUpEobuLc9ZrTqPUwotRnJNyThAEQRAEQfQA09PTmJ6extTUlOt73VdxEW3Dqjh3Y0+wSMp56KFAOIIgCIIgCILQoBUx4Yto6TmPRbrPdmymtVNxHlaoOCcIgiAIgiAIDVoRE75QzznRatjGCc05JwiCIAiCIHodWhETvvA8B9au3c3FOUc956HFVM7pPSIIgiAIgiB6m+6ruIi20s22Y1LOww/LBejGzR+CIAiCIAiCaCa0IiYCYX3n3Vg8Mcs01ebhpZs3fwiCIAiCIAiimdCKmAhEMJTN7guEYxsLpJyHF4F6zgmCIAiCIAgCABXnRAXYrPNIFyrnZGsPP+ac8+47vwiCIAiCIAiimdCKmAiE57q3J9gYpUaBcKGFAuEIgiAIgiAIQqP7Ki6irTC7cbQLbceknIcfXm89oJ5zgiAIgiAIotehFTERSDfbjkk5Dz/dfH4RBEEQBEEQRDPp+RXx7OwspqamMDMz0+lDCSXdPOrKKM5JOQ8tlNZOEARBEARB9BIzMzOYmprC7Oys63tiB44nVExMTGD//v2dPozQIqyH4pyU89AicFScEwRBEARBEL3D9PQ0pqenMTU15foerYiJQFhaezcX59RzHl5olBpBEARBEARBaNCKmAikmwO7TFt7hw+E8MUY1Udp7QRBEARBEESPQ2ULEYjZcy50+Ehqx1DOydYeWvguPr8IgiAIgiAIoplQcU4E0t0957zt/4nwQXPOCYIgCIIgCEKDqhYikPXQc061eXihnnOCIAiCIAiC0KAVMRFIdyvnFAgXdoy09i48vwiCIAiCIAiimdCKmAiEWcK7uTjnqOc8tNCcc4IgCIIgCILQoBUxEYhRPHVxcU7KeXihnnOCIAiCIAiC0Oi+iotoK2bPefelaRs956SchxZjVF8Xbv4QBEEQBEEQRDOhFTERCOsJjnah7ZiU8/BDtnaCIAiCIAiC0KAVMREIS9GOiN1X4LJ+eVLOwwsV5wRBEARBEASh0fMr4tnZWUxNTWFmZqbThxJKeJ6DwHNdOSuclPPwI1JxThAEQRAEQfQQMzMzmJqawuzsrOt7YgeOJ1RMTExg//79nT6M0CLyXFcmtQNUnHcD5pxzeo8IgiAIgiCI9c/09DSmp6cxNTXl+l53Vl1E2xDWQXFOtXl4SScjGExGaNwdQRAEQRAE0fP0vHJOBCMKfNdajo3inKrz0HL7jZN43c7RTh8GQRAEQRAEQXSc7qy6iLbRzco5s0pTIFx4iYoCzh/t6/RhEARBEARBEETH6c6qi2gb3dxzPjnShx1j/RgdiHf6UAiCIAiCIAiCIAIhWzsRCM9ziIhCpw+jLraN9OHHn76104dBEARBEARBEARRke6URIm2IQp81yrnBEEQBEEQBEEQ3QJVXUQgo+k4xskWThAEQRAEQRAE0VLWpa398OHD2LRpEyYmJnDmzBmcPHkSN954Y6cPqyv5jXddDklWO30YBEEQBEEQBEEQ65pQKedPPPEE7rrrLjzwwAO48847cezYMd/HTk5OYnBw0Pa/u+66CwDwhS98AZOTkxBFEbfddhs2bNjQpmew/oiKApKxdbmHQxAEQRAEQRAEERpCU3UVi0W85z3vweHDhzE2NoadO3fi/e9/P7773e+6Hjs/P4+PfOQjuO2228BxHDiOw6c+9Sncc889AIBt27ZhdnYWiqJgy5Yt7X0iBEEQBEEQBEEQBFEjoSnOH330UaTTaYyNjQEArr/+ehw6dAhzc3PG1xiKouCOO+7Axo0bAQAPPvgg3ve+92FwcNB4zObNm9t27ARBEARBEARBEATRCKEpzo8fP26znwuCgP7+fjz33HOu4nx8fNz475MnT+Kll17Cz/3czxlfW1tbw/33349YLIaHH34Yd999Ny655BLPvzs7O4upqSnj39PT05ienm7W0yIIgiAIgiAIgiB6nJmZGczMzBj/np2ddT0mNMX5wsIC4nF7Kng8Hsfy8nLgz/3P//k/8YlPfML2tdtvvx033HADAGB0dBTvete78Pzzz4Pn3S32ExMT2L9/f2MHTxAEQRAEQRAEQRA+OEVgq0DMaEtx/rnPfS4w3G3v3r0YGBiAqtpTwbPZLIaHh31/7syZMzhw4AD+8i//0vb1a6+91vjvCy64AC+++CKefvpp7Nq1q74nQBAEQRAEQRAEQRAtpC3F+Yc+9KGKj3nkkUfwxS9+0fh3sVhEJpPB5OSk78889NBDruL90KFD2Ldvn6HEZzIZAEA0Gq3z6AmCIAiCIAiCIAiitYRmlNrevXsxPz+PU6dOAQAOHjyI3bt3G8X5gQMH8Oyzz9p+5rnnnkMymbR9bcuWLbj77rsNi/xjjz2GPXv24NJLL23DsyAIgiAIgiAIgiCI2glNz7koinjggQdw77334sYbb8TBgwfx4IMPGt+/7777sHv3blx++eXG19LpNHbu3Gn7PVu2bME111yDz3zmM5BlGS+99BK+/vWvt+15EARBEARBEARBEEStcKqz0bvHmJqaokA4giAIgiAIgiAIom141aGhsbUTBEEQBEEQBEEQRK9CxTlBEARBEARBEARBdBgqzgmCIAiCIAiCIAiiw1BxThAEQRAEQRAEQRAdhopzgiAIgiAIgiAIgugwPV+cz87OYmpqCjMzM50+lIp0wzESvQ2do0TYoXOUCDt0jhJhh85RIuyE/RydmZnB1NQUZmdnXd/r+eJ8YmIC+/fvx/T0dKcPpSJhP9EIgs5RIuzQOUqEHTpHibBD5ygRdsJ+jk5PT2P//v2YmJhwfa/ni/NqCPsb3E7C8lrQcdgJy3GEhTC8HmE4BoCOI6yE4fUIwzEAdBxhJSyvRxiOIwzHAITnOMJCWF6PMBxHGI4BCM9xhIV6Xg8qzquATjSTsLwWdBx2wnIcYSEMr0cYjgGg4wgrYXg9wnAMAB1HWAnL6xGG4wjDMQDhOY6wEJbXIwzHEYZjAMJzHGGhnteDU1VVbcGxdA2XXXYZduzYEfiY2dlZT9tBuwnDcYThGOg46Di64TjCcAx0HHQcYT8GOg46jm44jjAcAx0HHUfYj4GOo/bjeOWVV/Dcc8/ZvtbzxTlBEARBEARBEARBdBqytRMEQRAEQRAEQRBEh6HinCAIgiAIgiAIgiA6DBXnBEEQBEEQBEEQBNFhqDgnCIIgCIIgCIIgiA5DxTlBEARBEARBEARBdBgqzkPOE088gbvuugsPPPAA7rzzThw7dqzTh0QQOHz4ME6cOAFZljE7O4tDhw51+pAIAgCQzWZx++2348SJE8bXgq6jdI0lwgBdU4mwcPjwYXz2s5/FPffcg1tuuQUHDx4EQNdRIvysm+uoSoSWQqGgTk5OqmfOnFFVVVW///3vqzfddFNnD4ogVFW94447VAAqAPW6665TX3zxRVVVVfXxxx9XP/KRj6hf/vKX1Q984APq0aNHO3ykRC/xpS99Sf34xz+uAlCPHTumqmrwdZSusUQnyGQy6rvf/W711VdfNb7md01VVbquEu1jbW1N/djHPmb8+2tf+5qaSCTU48eP03WUCA2HDh1SP/OZz6gf//jH1be+9a3qd7/7XVVV1891lIrzEPPtb39bveKKK4x/S5KkxmIx4wJIEJ3i4x//uDo7O6uePHnS+BrdoImwYC3Og66jdI0l2o3XBpKqel9TVZWuq0R7eeqpp1QA6ssvv6yqqqqurq6qANS//uu/pusoEQr8NpBOnTq1bq6jZGsPMcePH8eGDRuMfwuCgP7+fjz33HMdPCqC0Ni8eTO2bNli/PvRRx9FOp3G2NgYAOD666/HoUOHMDc316lDJIjA6yhdY4l284u/+Iu45557PL/nvKYCdF0l2ssVV1yBxx57DDt27AAAoz3oxIkTdB0lQsGRI0fwyU9+EkeOHAEA3HLLLcjn83jssccArI/rKBXnIWZhYQHxeNz2tXg8juXl5c4cEEHorK2t4f7778dXv/pV/OIv/iJeeOEFukEToSToOkrXWCIseF1TAdqkJ9oLx3HYs2cPOI4DAHzyk5/EXXfdBUmS6DpKhAK/DaQLL7xw3VxHxU4fAOHPwMAAVFW1fS2bzWJ4eLhDR0QQGrfffjtuuOEGAMDo6Cje9a534ed//ufpBk2EjqDr6JkzZ+gaS4QCr2vq888/T4UP0TH+4i/+AuPj4/jUpz6FL3zhC3QdJUIB20BisA2kq6++GqVSaV1cR0k5DzEXX3wx5ufnjX8Xi0VkMhlMTk528KgIArj22muN/77gggvw4osvguM4ukEToSPoOkrXWCIseF1Tn376adqkJzrCN7/5TciyjE9/+tMoFouIx+N0HSVCB9tA+oM/+AMA6+c6SsV5iNm7dy/m5+dx6tQpAMDBgwexe/duuuARHeXQoUMYHBxEoVAAAGQyGQDA4OAg3aCJ0BF0HaVrLBEG/K6p0WiUCh+i7Tz66KN47bXXcOutt+LMmTN46KGHcOGFF9J1lAgVzg2k9XQdJVt7iBFFEQ888ADuvfde3HjjjTh48CAefPDBTh8W0eNs2bIFd999t2EReuyxx7Bnzx7ceeeduPfee3Hq1Cls2bKFbtBE25mZmcGjjz4KAPjYxz6GvXv34ld+5Vd8r6N0jSXCgN819dJLL8XOnTuNwoeuq0SrOXr0KN75zncahQ1jZWWFrqNEaHBuIB06dAgbN25cN9dRTnXq/ARBEBX4x3/8R7z44ouQZRkvvfQSfv/3fx+jo6N4+OGH8Xd/93fGDfq3fuu3sH379k4fLkEQRChgG0h/+qd/ive+973GBpLfNRUAXVcJgiB0jh49il27dnluIB08eHBdXEepOCcIgiAIgiAIgiCIDkM95wRBEARBEARBEATRYag4JwiCIAiCIAiCIIgOQ8U5QRAEQRAEQRAEQXQYKs4JgiAIgiAIgiAIosNQcU4QBEEQBEEQBEEQHYaKc4IgCIIgCIIgCILoMFScEwRBEARBEARBEESHoeKcIAiCIAiCIAiCIDoMFecEQRAEQVTkySef7PQhEARBEMS6hopzgiAIgiAq8td//dedPgSCIAiCWNdwqqqqnT4IgiAIgiDCy+OPP463ve1tOHfuXKcPhSAIgiDWLWKnD4AgCIIgiPAwNzeHBx98EFu3boUsy/jqV7+KPXv2YGlpCZ/85CeRTCbx4Q9/GADwx3/8x5BlGYODg3jiiSfwh3/4h/jXf/1X/MZv/AZ27dqFffv2IZfL4cCBA/jEJz6Biy++uMPPjiAIgiDCCxXnBEEQBEEYfOUrX8HQ0BDe8573AABWV1dx55134jd+4zfwsY99zHjc1772Nfzbv/0b/uZv/gYA8NRTT+FLX/oSfvmXfxmPP/44FhYW8L73vQ8AsGXLFtxyyy146aWXEIvF2v+kCIIgCKILoOKcIAiCIAiDd77znXjrW9+KP/uzP8PrX/96/Oqv/qrn47761a8imUziG9/4BgCtAI/H4wAAjuMwMjJiPPYd73gHFhcXcfDgQbz1rW9t+XMgCIIgiG6EinOCIAiCIAxEUcQrr7yCH/zgB/jnf/5nvPGNb8QLL7xgfP/FF1/E8PAwBEHA5s2bcdttt1X8nTzPG/8jCIIgCMIbuksSBEEQBGHw4IMP4vnnn8fevXvxv//3/8bVV1+NYrGIvr4+rKys4PnnnwfP8/iv//W/4tvf/jYURQEA5HI5PPDAA8bvOXv2rPHf3/zmN7Fp0ybcdNNNbX8+BEEQBNEtkHJOEARBEIRBIpHAP/zDP+CZZ55BPp/H29/+dqTTaXziE5/A7/7u7+KSSy7B0NAQ3va2t2FhYQG/9mu/hksuuQSlUgkf+MAHjN8zOzuLv/qrv0I+n8f3vvc9fPvb30YkEungMyMIgiCIcEOj1AiCIAiCaCr33HOP7f8JgiAIgqgM2doJgiAIgiAIgiAIosOQrZ0gCIIgiKbx0EMPYf/+/VAUBddffz3e8Y53dPqQCIIgCKIrIFs7QRAEQRAEQRAEQXQYsrUTBEEQBEEQBEEQRIeh4pwgCIIgCIIgCIIgOgwV5wRBEARBEARBEATRYf5/jitZ4f3ddFEAAAAASUVORK5CYII=\n"},"metadata":{}}],"source":["fig = plt.figure(figsize=(12, 6))\n","\n","plt.plot(rewards)\n","plt.xlabel('step')\n","plt.ylabel('Cumulative Rewards')\n","plt.show()"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":529},"id":"cxdp6i3dz5Ls","executionInfo":{"status":"ok","timestamp":1715454688748,"user_tz":-120,"elapsed":927,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"}},"outputId":"cdb5c58b-b415-4c90-ce4a-277a6fb3d035"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"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()"]},{"cell_type":"code","execution_count":26,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":525},"id":"CT71dUMq5xgp","executionInfo":{"status":"ok","timestamp":1715454688748,"user_tz":-120,"elapsed":10,"user":{"displayName":"Paolo D'Elia","userId":"16550478439128156798"}},"outputId":"c568d46d-9a23-4305-f2a1-db71de8f5599"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"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":{"colab":{"collapsed_sections":["itXumkeX0Fpu"],"provenance":[{"file_id":"1aIBCdqVeDkAurfcZLSt0mQnPig3-U6EE","timestamp":1713259921432}]},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[],"dockerImageVersionId":30674,"isGpuEnabled":true,"isInternetEnabled":true,"language":"python","sourceType":"notebook"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.13"},"widgets":{"application/vnd.jupyter.widget-state+json":{"804b3038c528499cada05956d1158dcb":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_0b3df585c98c4cceb3f32de7b8b73125","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  97%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m \u001b[32m24,510/25,200 \u001b[0m [ \u001b[33m0:01:02\u001b[0m < \u001b[36m0:00:02\u001b[0m , \u001b[31m584 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  97%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺━</span> <span style=\"color: #008000; text-decoration-color: #008000\">24,510/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:02</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:02</span> , <span style=\"color: #800000; text-decoration-color: #800000\">584 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"0b3df585c98c4cceb3f32de7b8b73125":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"840356fb5e38496598a61ee36706a752":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_ff62728183f8438facfd7447e977d383","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:21\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m562 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:21</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">562 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"ff62728183f8438facfd7447e977d383":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"3c59dc01b63548c4ab1c411c21c205a5":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_d186142af1c54c86ac959418efe424a9","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,015/50,400 \u001b[0m [ \u001b[33m0:01:29\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m625 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,015/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:29</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">625 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"d186142af1c54c86ac959418efe424a9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"c3d26ac08fbd4793916d8f0b90f8f958":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_b96e444b6b08496391e765c2e53c2b04","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m536 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">536 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"b96e444b6b08496391e765c2e53c2b04":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"f3cb005f646b44288dbfa95da56260c1":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_0942dba471c042a5b92f62ba0635962f","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,100/25,200 \u001b[0m [ \u001b[33m0:00:43\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m567 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,100/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:43</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">567 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"0942dba471c042a5b92f62ba0635962f":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"969599bff45046e9b692cedfbe87ad87":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_afe5aabe44e1424fb0fa2f04d9e0a2e6","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,230/50,400 \u001b[0m [ \u001b[33m0:01:29\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m634 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,230/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:29</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">634 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"afe5aabe44e1424fb0fa2f04d9e0a2e6":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"be36c8aac7d7436ebe403edcc70009ae":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_d7e0aa86cc8e4855b0c06d7605b67405","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,100/25,200 \u001b[0m [ \u001b[33m0:00:44\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m565 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,100/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:44</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">565 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"d7e0aa86cc8e4855b0c06d7605b67405":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"fba18ac281ff47588497cc69a2995012":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_96f603dc04614e3084d3d8c83ea7dac5","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,030/50,400 \u001b[0m [ \u001b[33m0:01:27\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m645 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,030/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:27</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">645 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"96f603dc04614e3084d3d8c83ea7dac5":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"a2005033ec004a5a8e07dfe10838dae3":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_4e1fd1b9664b402f87b1166910aba08e","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m24,955/25,200 \u001b[0m [ \u001b[33m0:00:45\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m591 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">24,955/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:45</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">591 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"4e1fd1b9664b402f87b1166910aba08e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"6ff6a2a87deb455a9c88470f85945653":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_63d0fc9f6e274400bd63c198b4dcf8ec","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,090/25,200 \u001b[0m [ \u001b[33m0:00:44\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m608 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,090/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:44</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">608 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"63d0fc9f6e274400bd63c198b4dcf8ec":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"722678d47cae487bab56e9fa70a1e531":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_3d3799ffcb58422d91ee1c81c34558d1","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m49,970/50,400 \u001b[0m [ \u001b[33m0:01:27\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m636 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">49,970/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:27</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">636 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"3d3799ffcb58422d91ee1c81c34558d1":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"9639accdd04740afa638b2e9402a60c1":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_96335b6872ec4aba9bb5d83af1c31caa","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,300/50,400 \u001b[0m [ \u001b[33m0:01:29\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m582 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,300/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:29</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">582 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"96335b6872ec4aba9bb5d83af1c31caa":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"d0ee7cbde57047a7bd40b6f69a281b60":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_00348c576d244b1787b1824f29a45ded","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  95%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m \u001b[32m12,000/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:02\u001b[0m , \u001b[31m530 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  95%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,000/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:02</span> , <span style=\"color: #800000; text-decoration-color: #800000\">530 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"00348c576d244b1787b1824f29a45ded":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"2f6f6fb7f05342b18aa50b26dd2a0cf3":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_0ca0cfd8d9454fcd869b9c4b21c36704","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,100/25,200 \u001b[0m [ \u001b[33m0:00:44\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m560 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,100/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:44</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">560 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"0ca0cfd8d9454fcd869b9c4b21c36704":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"c2cc29d542e64a7a87b64f2fa608be95":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_309beaf759464f6fa71096b3eeb006c8","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,300/50,400 \u001b[0m [ \u001b[33m0:01:28\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m578 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,300/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:28</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">578 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"309beaf759464f6fa71096b3eeb006c8":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"2e68427d2042484e8e7e02175f47d022":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_771fe0dd11ab4eb596ea2ee24ae06127","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  93%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m \u001b[32m5,890/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m542 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  93%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">5,890/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">542 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"771fe0dd11ab4eb596ea2ee24ae06127":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"cdff35cd9ad74eb6837f040ff4ce669d":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_f5e7b89428e44b3292d9be174b9ed89b","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  93%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m \u001b[32m5,890/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m543 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  93%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">5,890/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">543 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"f5e7b89428e44b3292d9be174b9ed89b":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"adf4a2a1191a4bffa0772f44a4a366ea":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_60b52ac07ab8482383289807d67c4a07","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  97%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m \u001b[32m24,530/25,200 \u001b[0m [ \u001b[33m0:00:43\u001b[0m < \u001b[36m0:00:02\u001b[0m , \u001b[31m594 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  97%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺━</span> <span style=\"color: #008000; text-decoration-color: #008000\">24,530/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:43</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:02</span> , <span style=\"color: #800000; text-decoration-color: #800000\">594 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"60b52ac07ab8482383289807d67c4a07":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"4f8816a5ce0444449ec233c632908637":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_bb890a3ac36e40fca24eb8a9e626ba83","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  94%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m \u001b[32m11,875/12,600 \u001b[0m [ \u001b[33m0:00:21\u001b[0m < \u001b[36m0:00:02\u001b[0m , \u001b[31m570 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  94%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">11,875/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:21</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:02</span> , <span style=\"color: #800000; text-decoration-color: #800000\">570 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"bb890a3ac36e40fca24eb8a9e626ba83":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"9a8c64c4e67d4db09f1804f07e653bdd":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_0385ffa0b31841b282d7928f29cb3cf9","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m25,295/25,200 \u001b[0m [ \u001b[33m0:00:45\u001b[0m < \u001b[36m0:00:00\u001b[0m , \u001b[31m544 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,295/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:45</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span> , <span style=\"color: #800000; text-decoration-color: #800000\">544 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"0385ffa0b31841b282d7928f29cb3cf9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"0ee0e00a286249f9a120445654852579":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_50590adb1b3f4a7b9f2fd4ad531d12da","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m6,200/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m538 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">6,200/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">538 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"50590adb1b3f4a7b9f2fd4ad531d12da":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"2068aab414474373ad53c3d9cf3ca43e":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_2bd53b1f82a5410d9df71e4e1ab725b3","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m536 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">536 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"2bd53b1f82a5410d9df71e4e1ab725b3":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"bd0538c411904cc7b598478e3fc57ced":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_854005628602403e92eaad86b14e1904","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:21\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m564 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:21</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">564 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"854005628602403e92eaad86b14e1904":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"c923bf3ea4c644a1ab77ded2749084e4":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_63c8c75484db4ccc9d6edfe3b9e93c4d","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m49,900/50,400 \u001b[0m [ \u001b[33m0:01:29\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m618 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">49,900/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:29</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">618 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"63c8c75484db4ccc9d6edfe3b9e93c4d":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"3681f489896c4e30a57f610fd386bc66":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_78a205f26945430dabdf5affaaec564d","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,100/25,200 \u001b[0m [ \u001b[33m0:00:46\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m537 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,100/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:46</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">537 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"78a205f26945430dabdf5affaaec564d":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"0e7df54e67114345899ee079c22cca0b":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_08265ddef8394908bba314eb61fdbcfb","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m544 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">544 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"08265ddef8394908bba314eb61fdbcfb":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"5c11673de97b4300a79dac32683584c4":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_80c0845f59d743d3a35b280111946931","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m6,200/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m555 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">6,200/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">555 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"80c0845f59d743d3a35b280111946931":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"12a42846b6cb4a08ae38ae15eee95ad2":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_15fdbea4b40c48429878d24b1e609564","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,000/50,400 \u001b[0m [ \u001b[33m0:01:27\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m644 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,000/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:27</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">644 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"15fdbea4b40c48429878d24b1e609564":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"47d7f580fb114bc58eff7dc4fbbeb996":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_b02dd457b62a4acd8a623752fc4b271a","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m49,985/50,400 \u001b[0m [ \u001b[33m0:01:30\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m638 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">49,985/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:30</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">638 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"b02dd457b62a4acd8a623752fc4b271a":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"434af01d668c4233af244a7b9409aab5":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_524287ba9e8b47818bb1c8bc719d585d","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:23\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m520 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:23</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">520 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"524287ba9e8b47818bb1c8bc719d585d":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"358926bdfcd241a2ba29d47ecdbe5ed8":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_f6c0ccfe13f34f56a4da70bdaee83f66","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,100/25,200 \u001b[0m [ \u001b[33m0:00:44\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m572 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,100/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:44</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">572 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"f6c0ccfe13f34f56a4da70bdaee83f66":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"f36a7d62392d44c485176bea49cd8326":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_7bd2eb3fb65e42cbbe0d232fedb425a9","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m49,830/50,400 \u001b[0m [ \u001b[33m0:01:30\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m598 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">49,830/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:30</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">598 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"7bd2eb3fb65e42cbbe0d232fedb425a9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"c09b96e596c942d992546cff9da69fcf":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_d95e2e368f0e48cdb7fc4a0e65ef08ad","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  93%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m \u001b[32m5,890/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m525 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  93%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">5,890/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">525 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"d95e2e368f0e48cdb7fc4a0e65ef08ad":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"74bf22503ce24ec59fc093a8523da29c":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_d476021a5fdd4fb9847ef0377b223cef","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,085/50,400 \u001b[0m [ \u001b[33m0:01:28\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m648 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,085/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:28</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">648 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"d476021a5fdd4fb9847ef0377b223cef":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"a123f6866a14437089049661e320da18":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_ea99d1056864414eaba8dbdadcc65799","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  93%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m \u001b[32m5,890/6,300 \u001b[0m [ \u001b[33m0:00:10\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m603 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  93%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">5,890/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:10</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">603 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"ea99d1056864414eaba8dbdadcc65799":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"ee5e4dfb87b74c80890487877d395e57":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_74ca1fda146c470988d0c2ddfcc93ff9","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m6,200/6,300 \u001b[0m [ \u001b[33m0:00:10\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m574 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">6,200/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:10</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">574 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"74ca1fda146c470988d0c2ddfcc93ff9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"4f2b30f3d3004ad5b2d564b3e9d7f2e6":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_75ce156e83714fc0a47e330a5dce1939","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m \u001b[32m24,580/25,200 \u001b[0m [ \u001b[33m0:00:45\u001b[0m < \u001b[36m0:00:02\u001b[0m , \u001b[31m558 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺━</span> <span style=\"color: #008000; text-decoration-color: #008000\">24,580/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:45</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:02</span> , <span style=\"color: #800000; text-decoration-color: #800000\">558 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"75ce156e83714fc0a47e330a5dce1939":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"63c69bef55cc4ebbb46229a5c9b9124a":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_2862f2cf74354f3c9dccea12ecb8abd2","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m6,200/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m530 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">6,200/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">530 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"2862f2cf74354f3c9dccea12ecb8abd2":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"5a46d0daff7e44b59470986d1ab9712a":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_e6aacb3af9c84359b1e3c2a9101891d2","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,150/50,400 \u001b[0m [ \u001b[33m0:01:28\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m631 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,150/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:28</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">631 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"e6aacb3af9c84359b1e3c2a9101891d2":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"da0bb4434885445491aa5d12bd76c4fe":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_fbdb365463f3487e8b03763ce8fe6235","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  93%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m \u001b[32m5,890/6,300 \u001b[0m [ \u001b[33m0:00:10\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m583 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  93%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">5,890/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:10</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">583 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"fbdb365463f3487e8b03763ce8fe6235":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"16244366b8d546fab8814f4a76a8af21":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_c483f9c897274c6485ae67a006921941","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,250/50,400 \u001b[0m [ \u001b[33m0:01:29\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m624 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,250/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:29</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">624 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"c483f9c897274c6485ae67a006921941":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"f7be72752f1840508c0c91e29bd265b1":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_184fac54e0484b1ba8d275f962ebe190","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m6,200/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m531 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">6,200/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">531 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"184fac54e0484b1ba8d275f962ebe190":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"0f4c457332814286b5316bf2f9cbee7a":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_d6887cb93dd84d4885fdd6b166ea568e","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,295/50,400 \u001b[0m [ \u001b[33m0:01:31\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m645 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,295/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:31</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">645 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"d6887cb93dd84d4885fdd6b166ea568e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"1e20b0676cac447e8138695f2607e653":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_264d0a267fff40a0a113ec246f6e5a70","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m6,200/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m552 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">6,200/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">552 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"264d0a267fff40a0a113ec246f6e5a70":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"3b3bda655c6f4798b4c670d5e5603a36":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_579584bcfcc84c21a8cb024f0089f753","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:21\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m557 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:21</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">557 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"579584bcfcc84c21a8cb024f0089f753":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"1a3f51ae89314956a9d62379eb9e1ccb":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_50819277916546dd90ea04bd99d2922b","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m6,200/6,300 \u001b[0m [ \u001b[33m0:00:12\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m479 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">6,200/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:12</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">479 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"50819277916546dd90ea04bd99d2922b":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"2e88162058f14db7b43efb55b3552b8e":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_7648f49a686442e087c8905bdbe01033","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,100/25,200 \u001b[0m [ \u001b[33m0:00:44\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m567 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,100/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:44</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">567 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"7648f49a686442e087c8905bdbe01033":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"bdc85b5a88274160b25c146467a772fd":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_ee401e0fcf9d4d76bcc5aa20d114bfb8","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,130/50,400 \u001b[0m [ \u001b[33m0:01:27\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m654 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,130/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:27</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">654 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"ee401e0fcf9d4d76bcc5aa20d114bfb8":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"6ba12c1f12ff42cea74955989f1f3a1e":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_d17067d4083547538e0a4e220cf9c365","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,130/25,200 \u001b[0m [ \u001b[33m0:00:43\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m561 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,130/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:43</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">561 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"d17067d4083547538e0a4e220cf9c365":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"dbee6e004be54108a46ebcdddbbfb401":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_b4aed83779d04570a7a442780a21e57c","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,035/50,400 \u001b[0m [ \u001b[33m0:01:26\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m673 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,035/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:26</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">673 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"b4aed83779d04570a7a442780a21e57c":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"ead6d9e357b64296a9de6fee581b9d84":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_998575312b47496888d96b1207d7e69d","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  93%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m \u001b[32m5,890/6,300 \u001b[0m [ \u001b[33m0:00:10\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m587 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  93%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">5,890/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:10</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">587 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"998575312b47496888d96b1207d7e69d":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"768a61cc3bb84dc88b456a900e4db6f3":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_ea71f1b03041481eae3cd2f1a5dbb5d9","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m6,200/6,300 \u001b[0m [ \u001b[33m0:00:10\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m563 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">6,200/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:10</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">563 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"ea71f1b03041481eae3cd2f1a5dbb5d9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"83ce2974f9b04220ba8f731c4bce6bd8":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_1813a3e611f64fe480cb609d6572feb5","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m6,200/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m564 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">6,200/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">564 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"1813a3e611f64fe480cb609d6572feb5":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"26c90a13f9944fe684646d2625186cb9":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_63dd182ba36c488b99b5d00e8561d0c5","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m534 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">534 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"63dd182ba36c488b99b5d00e8561d0c5":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"1300643ed76c4ad7967a00fbb252f8e3":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_3a3d021696e047a886340ce0ea7ba18a","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,100/25,200 \u001b[0m [ \u001b[33m0:00:44\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m552 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,100/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:44</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">552 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"3a3d021696e047a886340ce0ea7ba18a":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"68e6fe92ae5446428caf823623d8470e":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_023dfc1463fb4d43ae9191ad262049f7","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m6,200/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m538 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">6,200/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">538 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"023dfc1463fb4d43ae9191ad262049f7":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"e40e54cf8ca04552a900bf8e0362aacb":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_28b8c9382fa64d85991d3864623945b1","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,100/25,200 \u001b[0m [ \u001b[33m0:00:43\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m577 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,100/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:43</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">577 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"28b8c9382fa64d85991d3864623945b1":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"9bbb45729a554a6f8c204028e6b753bb":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_be2ed81b8b9747568795d5b39f6822ce","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  94%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━\u001b[0m \u001b[32m11,875/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:02\u001b[0m , \u001b[31m540 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  94%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">11,875/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:02</span> , <span style=\"color: #800000; text-decoration-color: #800000\">540 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"be2ed81b8b9747568795d5b39f6822ce":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"20e78bc864354665b043f11c9033b04f":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_ab93c60456854be5acbcdb68ed9350df","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m6,200/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m539 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">6,200/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">539 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"ab93c60456854be5acbcdb68ed9350df":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"0da8c9158e9747b783d1a1121e87cfef":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_b5253c0797574385a60d0d6bccbb9652","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m535 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">535 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"b5253c0797574385a60d0d6bccbb9652":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"3e5351151f9f4c0bb3ac4bfbfc5e07e9":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_19a4df5038c842d991b22a684d54e62c","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,525/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m540 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,525/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">540 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"19a4df5038c842d991b22a684d54e62c":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"4dc343c751124f1ba010df3d3259ba6c":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_958493a3dcef40bdaa879aa2ff3dee1d","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  97%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m \u001b[32m24,545/25,200 \u001b[0m [ \u001b[33m0:00:44\u001b[0m < \u001b[36m0:00:02\u001b[0m , \u001b[31m572 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  97%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺━</span> <span style=\"color: #008000; text-decoration-color: #008000\">24,545/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:44</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:02</span> , <span style=\"color: #800000; text-decoration-color: #800000\">572 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"958493a3dcef40bdaa879aa2ff3dee1d":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"f6b5470451974b40afa49f6b153732bc":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_b532a0a2610748118a0ff85e064cf621","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:21\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m582 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:21</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">582 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"b532a0a2610748118a0ff85e064cf621":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"e0c2e6644bd94c48adbdfa44f0796377":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_0a91fbd65ccf478584f4137c01ef75d3","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  93%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m \u001b[32m5,890/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m566 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  93%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">5,890/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">566 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"0a91fbd65ccf478584f4137c01ef75d3":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"9f336f637c3e4d06b0291f212367fc08":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_7226ba5a088b4c8b985adfbc52b07102","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  93%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m \u001b[32m5,890/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m538 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  93%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">5,890/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">538 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"7226ba5a088b4c8b985adfbc52b07102":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"3c0b161fc5dd470db9b517a84a456f06":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_407d63cf9fc34b05808fa0ff3dedeee2","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,060/25,200 \u001b[0m [ \u001b[33m0:00:45\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m599 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,060/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:45</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">599 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"407d63cf9fc34b05808fa0ff3dedeee2":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"396b4324d2e4401e9e210ebea5fc7ad3":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_9a67d90aba7848efb45afdbe0a3f56a8","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m49,700/50,400 \u001b[0m [ \u001b[33m0:01:29\u001b[0m < \u001b[36m0:00:02\u001b[0m , \u001b[31m597 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">49,700/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:29</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:02</span> , <span style=\"color: #800000; text-decoration-color: #800000\">597 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"9a67d90aba7848efb45afdbe0a3f56a8":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"c393af2ec1004009a4301dda5fc8474d":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_6602c37c1f74419fb5d1883eea968820","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  93%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━\u001b[0m \u001b[32m5,890/6,300 \u001b[0m [ \u001b[33m0:00:11\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m541 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  93%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">5,890/6,300 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:11</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">541 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"6602c37c1f74419fb5d1883eea968820":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"cf1650386ccd4ae1942f9ddac5739fe8":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_de0c389bb81a470ea5eb8613c193cbea","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,055/25,200 \u001b[0m [ \u001b[33m0:00:45\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m604 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,055/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:45</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">604 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"de0c389bb81a470ea5eb8613c193cbea":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"faa26d50b11d480c9b6a04c22629c58b":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_c15c17a324f046bb9e5ee5c22cb95a64","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m50,055/50,400 \u001b[0m [ \u001b[33m0:01:27\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m642 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">50,055/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:27</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">642 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"c15c17a324f046bb9e5ee5c22cb95a64":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"03a7af0291ba4d939ece5df6b934eed4":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_98bd0560ad344debaf88f0661e9d8f00","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12,650/12,600 \u001b[0m [ \u001b[33m0:00:24\u001b[0m < \u001b[36m0:00:00\u001b[0m , \u001b[31m498 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,650/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:24</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span> , <span style=\"color: #800000; text-decoration-color: #800000\">498 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"98bd0560ad344debaf88f0661e9d8f00":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"e3c7c8e914024a95b85fbb94ec23cbbd":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_94ffd988e6e3491da3c0396b21147266","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m525 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">525 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"94ffd988e6e3491da3c0396b21147266":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"d3b14b56ec59400aa915052f4746243e":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_f7786f7439f743dbb516153f137c6c5d","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,100/25,200 \u001b[0m [ \u001b[33m0:00:43\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m571 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,100/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:43</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">571 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"f7786f7439f743dbb516153f137c6c5d":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"6b4a6c71446b4c4cac4348401eea41e7":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_13b99d0eb4234eb4b63717c53500f243","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m24,885/25,200 \u001b[0m [ \u001b[33m0:00:42\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m620 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">24,885/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:42</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">620 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"13b99d0eb4234eb4b63717c53500f243":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"efc2479736644104bc5b7e0fdb489cb0":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_b81670263bd64acbb28df803f2f69492","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m533 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">533 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"b81670263bd64acbb28df803f2f69492":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"33fb4de8258a43d08fd1b7710a4b552a":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_0e3233fb11304fca938321c3efaeebee","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m533 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">533 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"0e3233fb11304fca938321c3efaeebee":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"b84368c42eed4944bb9c0a40e6593746":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_e523fa63b1e041a599dd01885f13a6f9","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,590/12,600 \u001b[0m [ \u001b[33m0:00:24\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m496 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,590/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:24</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">496 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"e523fa63b1e041a599dd01885f13a6f9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"e15b3d6718e04ae6a299e38d3e81e494":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_3cf7e654bbd24ba2b70e6d2841ac5b36","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  98%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[32m49,620/50,400 \u001b[0m [ \u001b[33m0:01:25\u001b[0m < \u001b[36m0:00:02\u001b[0m , \u001b[31m597 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  98%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #008000; text-decoration-color: #008000\">49,620/50,400 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:01:25</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:02</span> , <span style=\"color: #800000; text-decoration-color: #800000\">597 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"3cf7e654bbd24ba2b70e6d2841ac5b36":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"1403c8f53e384707a4cb66855ee0b144":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_f92444caf6b045fbb0362ccfb7448fbb","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m  99%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m12,500/12,600 \u001b[0m [ \u001b[33m0:00:22\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m527 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">  99%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">12,500/12,600 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:22</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">527 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"f92444caf6b045fbb0362ccfb7448fbb":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"0039e23ed1e54649b587b1c684abdeaf":{"model_module":"@jupyter-widgets/output","model_name":"OutputModel","model_module_version":"1.0.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_model_name":"OutputModel","_view_count":null,"_view_module":"@jupyter-widgets/output","_view_module_version":"1.0.0","_view_name":"OutputView","layout":"IPY_MODEL_d20cbf6d145d464898df1b30167fee0e","msg_id":"","outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[35m 100%\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m \u001b[32m25,100/25,200 \u001b[0m [ \u001b[33m0:00:44\u001b[0m < \u001b[36m0:00:01\u001b[0m , \u001b[31m557 it/s\u001b[0m ]\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\"> 100%</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span> <span style=\"color: #008000; text-decoration-color: #008000\">25,100/25,200 </span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:44</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span> , <span style=\"color: #800000; text-decoration-color: #800000\">557 it/s</span> ]\n</pre>\n"},"metadata":{}}]}},"d20cbf6d145d464898df1b30167fee0e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}}}}},"nbformat":4,"nbformat_minor":0}