diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index bec0cfd..1a3eb23 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,6 +1,6 @@ repos: - repo: https://github.com/psf/black - rev: 22.1.0 + rev: 22.3.0 hooks: - id: black-jupyter diff --git a/demo.ipynb b/demo.ipynb index 69d5be3..867cde3 100644 --- a/demo.ipynb +++ b/demo.ipynb @@ -4,108 +4,343 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# How to reproduce (and play) with `neos`:" + "# Build your own neos!" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/lib/__init__.py:33: UserWarning: JAX on Mac ARM machines is experimental and minimally tested. Please see https://github.com/google/jax/issues/5501 in the event of problems.\n", + " warnings.warn(\"JAX on Mac ARM machines is experimental and minimally tested. \"\n" + ] + } + ], + "source": [ + "from __future__ import annotations\n", + "\n", + "import jax\n", + "import jax.numpy as jnp\n", + "from jax.random import PRNGKey, multivariate_normal\n", + "import pyhf\n", + "from typing import Callable, Any, Generator, Iterable\n", + "from functools import partial\n", + "import matplotlib.pyplot as plt\n", + "import neos\n", + "\n", + "jax.config.update(\"jax_enable_x64\", True)\n", + "pyhf.set_backend(\"jax\")\n", + "\n", + "# matplotlib settings\n", + "plt.rc(\"figure\", figsize=(6, 3), dpi=150, facecolor=\"w\")\n", + "plt.rc(\"legend\", fontsize=6)\n", + "\n", + "Array = jnp.ndarray" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Preamble\n", + "`neos` tackles the problem of learning optimal summary statistics from data. The workflow is explained in more detail [in our paper]() -- this notebook is designed to get you up-and-running with how that workflow looks in code, including how to do this for your own use-case! (if you want to do that for real, please reach out -- we'd love to help you!)\n", + "\n", + "To construct this kind of workflow, you need to specify three things:\n", + "- How to construct your summary statistic from data\n", + "- How to build your likelihood function from that summary statistic\n", + "- A choice of metric relating to how you deem your analysis to be \"optimal\"\n", + "\n", + "The second bullet in-particular is very important; while we've abstracted away all the technical detail, `neos` is still not a drop-in loss function in the typical sense, since it requires *detailed information from the analyser on how to build the likelihood*. No longer do we have a problem-agnostic notion of \"signal\" and \"background\"; instead, we're wanting to optimise our specific problem, so we need to provide specific information. That is how `neos` is \"systematic-aware\" -- it's a technique that explicitly takes into account how your systematics are modelled. But to do this, we of course need to model them in the first place!\n", + "\n", + "Here, we're going to re-implement the example from the paper with 2-dimensional Gaussian blobs making up our data. We have a nominal estimate for signal and background data, and we also provide \"up\" and \"down\" variations that correspond to moving the mean of the background blob. The helper function to generate this dataset is below:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We first need to install a special branch of `pyhf`:" + "### Dataset generation helper function + visualisation" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "Collecting git+http://github.com/scikit-hep/pyhf.git@make_difffable_model_ctor\n", - " Cloning http://github.com/scikit-hep/pyhf.git (to revision make_difffable_model_ctor) to /tmp/pip-req-build-ol32u9ie\n", - " Running command git clone --filter=blob:none --quiet http://github.com/scikit-hep/pyhf.git /tmp/pip-req-build-ol32u9ie\n", - " warning: redirecting to https://github.com/scikit-hep/pyhf.git/\n", - " Running command git checkout -b make_difffable_model_ctor --track origin/make_difffable_model_ctor\n", - "^C\n", - "\u001b[31mERROR: Operation cancelled by user\u001b[0m\u001b[31m\n", - "\u001b[0mNote: you may need to restart the kernel to use updated packages.\n" + "WARNING:absl:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" ] } ], "source": [ - "%pip install git+http://github.com/scikit-hep/pyhf.git@make_difffable_model_ctor" + "def generate_data(\n", + " rng: int = 0,\n", + " num_points: int = 10000,\n", + " sig_mean: tuple[float, float] = (-1, 1),\n", + " bup_mean: tuple[float, float] = (2.5, 2),\n", + " bdown_mean: tuple[float, float] = (-2.5, -1.5),\n", + " b_mean: tuple[float, float] = (1, -1),\n", + ") -> tuple[Array, Array, Array, Array]:\n", + " sig = multivariate_normal(\n", + " PRNGKey(rng),\n", + " jnp.asarray(sig_mean),\n", + " jnp.asarray([[1, 0], [0, 1]]),\n", + " shape=(num_points,),\n", + " )\n", + " bkg_up = multivariate_normal(\n", + " PRNGKey(rng),\n", + " jnp.asarray(bup_mean),\n", + " jnp.asarray([[1, 0], [0, 1]]),\n", + " shape=(num_points,),\n", + " )\n", + " bkg_down = multivariate_normal(\n", + " PRNGKey(rng),\n", + " jnp.asarray(bdown_mean),\n", + " jnp.asarray([[1, 0], [0, 1]]),\n", + " shape=(num_points,),\n", + " )\n", + "\n", + " bkg_nom = multivariate_normal(\n", + " PRNGKey(rng),\n", + " jnp.asarray(b_mean),\n", + " jnp.asarray([[1, 0], [0, 1]]),\n", + " shape=(num_points,),\n", + " )\n", + " return sig, bkg_nom, bkg_up, bkg_down\n", + "\n", + "\n", + "data = generate_data()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def plot_data_space(\n", + " ax: Any,\n", + " data: Array,\n", + " params: dict[str, Any] | None = None,\n", + " nn: Callable | None = None,\n", + " bins: Array | None = None,\n", + ") -> None:\n", + " if nn is not None:\n", + " network = params[\"nn_pars\"]\n", + " bins = params[\"bins\"] if \"bins\" in params else bins\n", + " g = jnp.mgrid[-10:10:101j, -10:10:101j]\n", + " levels = [0, *bins, 1]\n", + " ax.contourf(\n", + " g[0],\n", + " g[1],\n", + " nn(network, jnp.moveaxis(g, 0, -1)).reshape(101, 101, 1)[:, :, 0],\n", + " levels=levels,\n", + " cmap=\"binary\",\n", + " )\n", + " ax.contour(\n", + " g[0],\n", + " g[1],\n", + " nn(network, jnp.moveaxis(g, 0, -1)).reshape(101, 101, 1)[:, :, 0],\n", + " colors=\"w\",\n", + " levels=levels,\n", + " )\n", + " sig, bkg_nom, bkg_up, bkg_down = data\n", + " # should definitely not have to repeat this every time lmao\n", + " ax.scatter(sig[:, 0], sig[:, 1], alpha=0.3, c=\"C9\", label=\"signal\")\n", + " ax.scatter(\n", + " bkg_up[:, 0],\n", + " bkg_up[:, 1],\n", + " alpha=0.1,\n", + " c=\"orangered\",\n", + " marker=6,\n", + " label=\"bkg up\",\n", + " )\n", + " ax.scatter(\n", + " bkg_down[:, 0],\n", + " bkg_down[:, 1],\n", + " alpha=0.1,\n", + " c=\"gold\",\n", + " marker=7,\n", + " label=\"bkg down\",\n", + " )\n", + " ax.scatter(bkg_nom[:, 0], bkg_nom[:, 1], alpha=0.3, c=\"C1\", label=\"bkg\")\n", + " ax.set_xlabel(\"x\")\n", + " ax.set_ylabel(\"y\")\n", + " ax.legend()\n", + "\n", + "\n", + "fig, ax = plt.subplots()\n", + "plot_data_space(ax, data)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Start with a couple of imports:" + "Now that we have our data, we need to specify how we construct our summary statistic. We will use a neural network for this, left unspecified until later. Since our likelihood modelling stage will later involve using histograms, we'll also construct a histogram of the output, then scale the yields in each batch for a more \"realistic\" analysis. This step is wrapped up in a simple convenience function called `neos.hists_from_nn`, which we'll use in a moment.\n", + "\n", + "After this comes the problem-specific part: the likelihood model construction. I mentioned before that we have \"up\" and \"down\" datasets -- this is a typical construct in HEP that we use to model the effect of physical parameters. We will then have three histograms for the background data: one for each of the nominal, up, and down samples. The HistFactory prescription for building likelihood functions then models the uncertainty between these by interpolating between their yields. Luckily, this is done under the hood for us in `pyhf` -- we just need to write a dictionary specifying the format of our histograms. This can be found below for our case, where we describe our uncertainty by forming a nuisance parameter `\"correlated_bkg_uncertainty\"` that modifies the shape of the histogram in a bin-correlated fashion. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Physicist's input: how to build your statistical model from histograms " ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ - "from jax.example_libraries import stax # neural network library for JAX\n", - "from jax.random import PRNGKey # random number generator\n", - "import jax.numpy as jnp # JAX's numpy\n", - "import neos # :)" + "# assume we give a dict of histograms with keys \"sig\", \"bkg_nominal\", \"bkg_up\", \"bkg_down\".\n", + "def model_from_hists(hists: dict[str, Array]) -> pyhf.Model:\n", + " \"\"\"How to make your HistFactory model from your histograms.\"\"\"\n", + " spec = {\n", + " \"channels\": [\n", + " {\n", + " \"name\": \"singlechannel\", # we only have one \"channel\" (data region)\n", + " \"samples\": [\n", + " {\n", + " \"name\": \"signal\",\n", + " \"data\": hists[\"sig\"], # signal\n", + " \"modifiers\": [\n", + " {\n", + " \"name\": \"mu\",\n", + " \"type\": \"normfactor\",\n", + " \"data\": None,\n", + " }, # our signal strength modifier (parameter of interest)\n", + " ],\n", + " },\n", + " {\n", + " \"name\": \"background\",\n", + " \"data\": hists[\"bkg_nominal\"], # background\n", + " \"modifiers\": [\n", + " {\n", + " \"name\": \"correlated_bkg_uncertainty\",\n", + " \"type\": \"histosys\",\n", + " \"data\": {\n", + " \"hi_data\": hists[\"bkg_up\"], # up sample\n", + " \"lo_data\": hists[\"bkg_down\"], # down sample\n", + " },\n", + " },\n", + " ],\n", + " },\n", + " ],\n", + " },\n", + " ],\n", + " }\n", + " return pyhf.Model(spec, validate=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "`neos` experiments have been designed to run through a flexible `Pipeline` class, which will compose the necessary ingredients to train differentiable analyses end-to-end.\n", + "Now we just have to form our metric of choice from our likelihood model. Here, we have a variety to choose from: uncertainty on the signal strength modifier (cross-section), discovery significance, CLs, even the classic binary cross-entropy (that doesn't use the likelihood at all). Instead of overloading the notebook with losses, I've baked them all into `neos.loss_from_model`, which takes in a `pyhf` model and a string with the metric you want to calculate.\n", "\n", - "We have other examples in the works, but for now, we have wrapped up our current experiments in a module called `nn_observable`:" + "With these ingredients, we just need to compose them in one function, so we can take the gradient of that function with respect to our free parameters:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Build pipeline by combining functions from the `neos` module with our model builder" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ - "from neos.experiments.nn_observable import (\n", - " nn_summary_stat, # create a summary statistic from a neural network\n", - " make_model, # use the summary statistic to make a HistFactory style model\n", - " generate_data, # generates gaussian blobs to feed into the nn\n", - " first_epoch, # special plotting callback for the first epoch\n", - " last_epoch, # special plotting callback for the last epoch\n", - " per_epoch, # generic plotting callback for each epoch\n", - " plot_setup, # inital setup for the plotting\n", - ")" + "def pipeline(\n", + " pars: dict[str, Array],\n", + " data: tuple[Array, ...],\n", + " nn: Callable,\n", + " loss: str,\n", + " bandwidth: float,\n", + " sample_names: Iterable[str], # we're using a list of dict keys for bookkeeping!\n", + " scale_factors: dict[str, float],\n", + " bins: Array | None = None, # in case you don't want to optimise binning\n", + " lumi: float = 10.0, # overall scale factor\n", + ") -> float:\n", + " # zip up our data arrays with the corresponding sample names\n", + " data_dct = {k: v for k, v in zip(sample_names, data)}\n", + "\n", + " # if you want s/b discrimination, no need to do anything complex!\n", + " if loss.lower() in [\"bce\", \"binary cross-entropy\"]:\n", + " return neos.losses.bce(data=data_dct, pars=pars[\"nn_pars\"], nn=nn)\n", + "\n", + " # use a neural network + differentiable histograms [bKDEs] to get the yields\n", + " hists = neos.hists_from_nn(\n", + " pars=pars[\"nn_pars\"],\n", + " nn=nn,\n", + " data=data_dct,\n", + " bandwidth=bandwidth, # for the bKDEs\n", + " bins=jnp.array([0, *pars[\"bins\"], 1]) if \"bins\" in pars else bins,\n", + " scale_factors=scale_factors,\n", + " overall_scale=lumi,\n", + " )\n", + "\n", + " # build our statistical model, and calculate the loss!\n", + " model = model_from_hists(hists)\n", + " return neos.loss_from_model(model, loss=loss)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Each of these functions are pretty lightweight (with the exception of the plotting) -- if you want to get experimental and write your own pipeline, you'll find the code for those functions as a good starting point!\n", - "\n", - "Now we'll jump into training! First, we set up a neural network (for regression) and a random state:" + "Below is now mostly training boilerplate! I'll add titles, but should be mostly clear what's going on (ask if not!)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Initialise network architecture + params" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "WARNING:absl:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/experimental/stax.py:28: FutureWarning: jax.experimental.stax is deprecated, import jax.example_libraries.stax instead\n", + " warnings.warn('jax.experimental.stax is deprecated, '\n" ] } ], "source": [ + "from jax.experimental import stax\n", + "\n", "rng_state = 0 # random state\n", "\n", "# feel free to modify :)\n", @@ -118,403 +353,716 @@ " stax.Sigmoid,\n", ")\n", "\n", - "_, init_pars = init_random_params(PRNGKey(rng_state), (-1, 2))" + "num_features = 2\n", + "_, init = init_random_params(PRNGKey(rng_state), (-1, num_features))\n", + "init_pars = dict(nn_pars=init)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "From there, we compose our pipeline with the relevant ingredients. I'll point out things you can play with immediately:" + "### Define batching mechanism for data" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ - "p = neos.Pipeline(\n", - " data=generate_data(rng=rng_state, num_points=10000), # total number of points\n", - " yield_kwargs=dict(\n", - " bandwidth=1e-1, # bandwidth of the KDE (lower = more like a real histogram)\n", - " bins=jnp.linspace(0, 1, 5), # binning of the summary stat (over [0,1])\n", - " ),\n", - " nn=nn, # the nn we defined above\n", - " loss=lambda x: x[\n", - " \"CLs\" # our chosen loss metric!\n", - " ], # you can compose your own loss from a dict of metrics (see p.possible_metrics)\n", - " num_epochs=5, # number of epochs\n", - " batch_size=2000, # number of points per batch\n", - " plot_name=\"demo_nn_observable.png\", # save the final plot!\n", - " animate=True, # make cool animations!\n", - " animation_name=\"demo_nn_observable.gif\", # save them!\n", - " random_state=rng_state,\n", - " yields_from_pars=nn_summary_stat,\n", - " model_from_yields=make_model,\n", - " init_pars=init_pars,\n", - " first_epoch_callback=first_epoch,\n", - " last_epoch_callback=last_epoch,\n", - " per_epoch_callback=per_epoch,\n", - " plot_setup=plot_setup,\n", - ")" + "from sklearn.model_selection import train_test_split\n", + "import numpy.random as npr\n", + "\n", + "batch_size = 2000 # change me if you want!\n", + "split = train_test_split(*data, random_state=rng_state)\n", + "train, test = split[::2], split[1::2]\n", + "\n", + "\n", + "def batches(training_data: Array, batch_size: int) -> Generator:\n", + " num_train = training_data[0].shape[0]\n", + " num_complete_batches, leftover = divmod(num_train, batch_size)\n", + " num_batches = num_complete_batches + bool(leftover)\n", + "\n", + " # batching mechanism, ripped from the JAX docs :)\n", + " def data_stream():\n", + " rng = npr.RandomState(rng_state)\n", + " while True:\n", + " perm = rng.permutation(num_train)\n", + " for i in range(num_batches):\n", + " batch_idx = perm[i * batch_size : (i + 1) * batch_size]\n", + " yield [points[batch_idx] for points in train]\n", + "\n", + " return data_stream()\n", + "\n", + "\n", + "batch_iterator = batches(train, batch_size)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Then we run! Each epoch takes around 15s on my local CPU, so expect something similar :)\n", + "### Training loop definition\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "from jaxopt import OptaxSolver\n", + "import optax\n", + "from time import perf_counter\n", + "\n", + "\n", + "def run_optimisation(\n", + " num_steps: int,\n", + " objective: str,\n", + " test_objective: str,\n", + " lr: float,\n", + " bins: Array,\n", + " data_types: Iterable[str],\n", + " scale_factors: dict[str, float],\n", + " include_bins: bool = True,\n", + ") -> tuple[Array, dict[str, list]]:\n", + "\n", + " loss = partial(\n", + " pipeline,\n", + " nn=nn,\n", + " sample_names=data_types,\n", + " scale_factors=scales,\n", + " )\n", + "\n", + " solver = OptaxSolver(loss, opt=optax.adam(lr), jit=True)\n", + "\n", + " pyhf.set_backend(\"jax\", default=True)\n", + "\n", + " if include_bins:\n", + " init_pars[\"bins\"] = bins[\n", + " 1:-1\n", + " ] # don't want to float endpoints [will account for kde spill]\n", + " state = solver.init_state(init_pars)\n", + " else:\n", + " if \"bins\" in init_pars:\n", + " del init_pars[\"bins\"]\n", + " state = solver.init_state(init_pars)\n", "\n", - "You'll see some cool plots and animations, so it's worth it ;)" + " params = init_pars\n", + " best_params = init_pars\n", + " best_sig = 999\n", + " metrics = {k: [] for k in [\"cls\", \"discovery\", \"poi_uncert\"]}\n", + "\n", + " for i in range(num_steps):\n", + " print(f\"step {i}: loss={objective}\")\n", + " data = next(batch_iterator)\n", + " start = perf_counter()\n", + " params, state = solver.update(\n", + " params, state, bins=bins, data=data, loss=objective, bandwidth=9e-2\n", + " )\n", + " end = perf_counter()\n", + " print(f\"update took {end-start:.4g}s\")\n", + " if \"bins\" in params:\n", + " print(\"bin edges: [0 \", *[f\"{f:.3g}\" for f in params[\"bins\"]], \" 1]\")\n", + " for metric in metrics:\n", + " test_metric = loss(\n", + " params, bins=bins, data=test, loss=metric, bandwidth=1e-8\n", + " )\n", + " print(f\"{metric}={test_metric:.4g}\")\n", + " metrics[metric].append(test_metric)\n", + " if metrics[\"discovery\"][-1] < best_sig:\n", + " best_params = params\n", + " best_sig = metrics[\"discovery\"][-1]\n", + " print()\n", + " return best_params, metrics" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run!" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "epoch 4/5: 4 batches\n", - "batch 4/4 took 5.0345s.\n", - "\n", - "batch loss: 9.36e-06\n", - "metrics evaluated on test set:\n", - "yields:\n", - " s = [1.84, 2.31, 5.04, 10.8]\n", - " b = [90.3, 6.25, 3, 0.4]\n", - " bup = [72.4, 13.1, 9.3, 5.15]\n", - " bdown = [72, 14.5, 9.85, 3.75]\n", - "CLs = 1.05e-06\n", - "mu_uncert = 0.0795\n", - "pull_width = 0.906\n", - "1-pull_width**2 = 0.00877\n", - "pull = -0.00898\n", - "loss = 1.05e-06\n", - "\n" + "step 0: loss=cls\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "WARNING:matplotlib.animation:MovieWriter imagemagick unavailable; using Pillow instead.\n" + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n" ] }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "update took 4.098s\n", + "bin edges: [0 0.251 0.501 0.749 1]\n", + "cls=0.003638\n", + "discovery=0.01031\n", + "poi_uncert=0.4557\n", + "\n", + "step 1: loss=cls\n", + "update took 2.434s\n", + "bin edges: [0 0.252 0.5 0.749 1]\n", + "cls=7.551e-06\n", + "discovery=0.009023\n", + "poi_uncert=0.4866\n", + "\n", + "step 2: loss=cls\n", + "update took 2.348s\n", + "bin edges: [0 0.252 0.5 0.748 1]\n", + "cls=1.343e-06\n", + "discovery=0.002171\n", + "poi_uncert=0.4345\n", + "\n", + "step 3: loss=cls\n", + "update took 2.584s\n", + "bin edges: [0 0.253 0.499 0.748 1]\n", + "cls=9.016e-07\n", + "discovery=0.000938\n", + "poi_uncert=0.3335\n", + "\n", + "step 4: loss=cls\n", + "update took 2.421s\n", + "bin edges: [0 0.253 0.499 0.748 1]\n", + "cls=1.144e-06\n", + "discovery=0.0007609\n", + "poi_uncert=0.2733\n", + "\n", + "step 5: loss=cls\n", + "update took 2.367s\n", + "bin edges: [0 0.254 0.498 0.747 1]\n", + "cls=1.444e-06\n", + "discovery=0.002308\n", + "poi_uncert=0.2688\n", + "\n", + "step 6: loss=cls\n", + "update took 2.385s\n", + "bin edges: [0 0.254 0.498 0.747 1]\n", + "cls=1.663e-06\n", + "discovery=0.003885\n", + "poi_uncert=0.3062\n", + "\n", + "step 7: loss=cls\n", + "update took 2.312s\n", + "bin edges: [0 0.254 0.498 0.747 1]\n", + "cls=2.248e-06\n", + "discovery=0.004728\n", + "poi_uncert=0.3386\n", + "\n", + "step 8: loss=cls\n", + "update took 2.432s\n", + "bin edges: [0 0.254 0.498 0.747 1]\n", + "cls=2.669e-06\n", + "discovery=0.005359\n", + "poi_uncert=0.3538\n", + "\n", + "step 9: loss=cls\n", + "update took 2.288s\n", + "bin edges: [0 0.255 0.497 0.747 1]\n", + "cls=3.216e-06\n", + "discovery=0.006356\n", + "poi_uncert=0.3739\n", + "\n", + "step 10: loss=cls\n", + "update took 2.418s\n", + "bin edges: [0 0.255 0.497 0.747 1]\n", + "cls=3.095e-06\n", + "discovery=0.006671\n", + "poi_uncert=0.3821\n", + "\n", + "step 11: loss=cls\n", + "update took 2.331s\n", + "bin edges: [0 0.255 0.497 0.746 1]\n", + "cls=3.402e-06\n", + "discovery=0.006874\n", + "poi_uncert=0.379\n", + "\n", + "step 12: loss=cls\n", + "update took 2.488s\n", + "bin edges: [0 0.255 0.497 0.746 1]\n", + "cls=3.233e-06\n", + "discovery=0.006641\n", + "poi_uncert=0.3761\n", + "\n", + "step 13: loss=cls\n", + "update took 2.47s\n", + "bin edges: [0 0.255 0.497 0.746 1]\n", + "cls=3.247e-06\n", + "discovery=0.006868\n", + "poi_uncert=0.3743\n", + "\n", + "step 14: loss=cls\n", + "update took 2.331s\n", + "bin edges: [0 0.255 0.497 0.746 1]\n", + "cls=3.207e-06\n", + "discovery=0.006235\n", + "poi_uncert=0.3691\n", + "\n", + "step 15: loss=cls\n", + "update took 2.198s\n", + "bin edges: [0 0.255 0.497 0.746 1]\n", + "cls=3.096e-06\n", + "discovery=0.00578\n", + "poi_uncert=0.3621\n", + "\n", + "step 16: loss=cls\n", + "update took 2.579s\n", + "bin edges: [0 0.255 0.496 0.746 1]\n", + "cls=3.032e-06\n", + "discovery=0.005504\n", + "poi_uncert=0.3494\n", + "\n", + "step 17: loss=cls\n", + "update took 2.375s\n", + "bin edges: [0 0.256 0.496 0.746 1]\n", + "cls=2.846e-06\n", + "discovery=0.004628\n", + "poi_uncert=0.3378\n", + "\n", + "step 18: loss=cls\n", + "update took 2.326s\n", + "bin edges: [0 0.256 0.496 0.745 1]\n", + "cls=2.736e-06\n", + "discovery=0.004427\n", + "poi_uncert=0.3281\n", + "\n", + "step 19: loss=cls\n", + "update took 2.501s\n", + "bin edges: [0 0.256 0.496 0.745 1]\n", + "cls=2.654e-06\n", + "discovery=0.003429\n", + "poi_uncert=0.3114\n", + "\n", + "step 20: loss=cls\n", + "update took 2.359s\n", + "bin edges: [0 0.256 0.496 0.745 1]\n", + "cls=2.415e-06\n", + "discovery=0.002622\n", + "poi_uncert=0.2968\n", + "\n", + "step 21: loss=cls\n", + "update took 2.573s\n", + "bin edges: [0 0.256 0.496 0.745 1]\n", + "cls=2.286e-06\n", + "discovery=0.001933\n", + "poi_uncert=0.2804\n", + "\n", + "step 22: loss=cls\n", + "update took 2.348s\n", + "bin edges: [0 0.256 0.496 0.745 1]\n", + "cls=2.261e-06\n", + "discovery=0.001534\n", + "poi_uncert=0.2705\n", + "\n", + "step 23: loss=cls\n", + "update took 2.46s\n", + "bin edges: [0 0.256 0.496 0.745 1]\n", + "cls=2.141e-06\n", + "discovery=0.001064\n", + "poi_uncert=0.2641\n", + "\n", + "step 24: loss=cls\n", + "update took 2.377s\n", + "bin edges: [0 0.256 0.496 0.745 1]\n", + "cls=2.075e-06\n", + "discovery=0.001474\n", + "poi_uncert=0.2633\n", + "\n", + "step 25: loss=cls\n", + "update took 2.622s\n", + "bin edges: [0 0.256 0.496 0.744 1]\n", + "cls=1.983e-06\n", + "discovery=0.001475\n", + "poi_uncert=0.2667\n", + "\n", + "step 26: loss=cls\n", + "update took 2.483s\n", + "bin edges: [0 0.256 0.496 0.744 1]\n", + "cls=1.677e-06\n", + "discovery=0.00139\n", + "poi_uncert=0.2726\n", + "\n", + "step 27: loss=cls\n", + "update took 2.507s\n", + "bin edges: [0 0.256 0.496 0.744 1]\n", + "cls=1.468e-06\n", + "discovery=0.001338\n", + "poi_uncert=0.2812\n", + "\n", + "step 28: loss=cls\n", + "update took 2.406s\n", + "bin 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"poi_uncert=0.3911\n", + "\n", + "step 40: loss=cls\n", + "update took 2.824s\n", + "bin edges: [0 0.256 0.496 0.743 1]\n", + "cls=8.551e-07\n", + "discovery=0.001213\n", + "poi_uncert=0.3924\n", + "\n", + "step 41: loss=cls\n", + "update took 2.38s\n", + "bin edges: [0 0.256 0.496 0.743 1]\n", + "cls=9.515e-07\n", + "discovery=0.001177\n", + "poi_uncert=0.3924\n", + "\n", + "step 42: loss=cls\n", + "update took 2.377s\n", + "bin edges: [0 0.256 0.495 0.743 1]\n", + "cls=1.02e-06\n", + "discovery=0.001073\n", + "poi_uncert=0.3941\n", + "\n", + "step 43: loss=cls\n", + "update took 2.706s\n", + "bin edges: [0 0.256 0.495 0.743 1]\n", + "cls=1.126e-06\n", + "discovery=0.001054\n", + "poi_uncert=0.394\n", + "\n", + "step 44: loss=cls\n", + "update took 2.395s\n", + "bin edges: [0 0.256 0.495 0.743 1]\n", + "cls=1.062e-06\n", + "discovery=0.0009801\n", + "poi_uncert=0.3922\n", + "\n", + "step 45: loss=cls\n", + "update took 2.363s\n", + "bin edges: [0 0.256 0.495 0.743 1]\n", + "cls=1.094e-06\n", + "discovery=0.0007876\n", + "poi_uncert=0.3889\n", + "\n", + "step 46: loss=cls\n", + "update took 2.385s\n", + "bin edges: [0 0.256 0.495 0.743 1]\n", + "cls=1.11e-06\n", + "discovery=0.0006497\n", + "poi_uncert=0.3844\n", + "\n", + "step 47: loss=cls\n", + "update took 2.294s\n", + "bin edges: [0 0.256 0.495 0.743 1]\n", + "cls=1.092e-06\n", + "discovery=0.0005086\n", + "poi_uncert=0.3801\n", + "\n", + "step 48: loss=cls\n", + "update took 2.376s\n", + "bin edges: [0 0.256 0.495 0.743 1]\n", + "cls=1.082e-06\n", + "discovery=0.000462\n", + "poi_uncert=0.3768\n", + "\n", + "step 49: loss=cls\n", + "update took 2.345s\n", + "bin edges: [0 0.256 0.495 0.743 1]\n", + "cls=1.053e-06\n", + "discovery=0.0003942\n", + "poi_uncert=0.3731\n", + "\n", + "step 50: loss=cls\n", + "update took 2.993s\n", + "bin edges: [0 0.256 0.495 0.742 1]\n", + "cls=1.083e-06\n", + "discovery=0.0003195\n", + "poi_uncert=0.373\n", + "\n", + "step 51: loss=cls\n", + "update took 2.281s\n", + "bin edges: [0 0.256 0.495 0.742 1]\n", + "cls=1.152e-06\n", + "discovery=0.0003122\n", + "poi_uncert=0.3784\n", + "\n", + "step 52: loss=cls\n", + "update took 2.7s\n", + "bin edges: [0 0.256 0.495 0.742 1]\n", + "cls=1.152e-06\n", + "discovery=0.0003515\n", + "poi_uncert=0.378\n", + "\n", + "step 53: loss=cls\n", + "update took 2.785s\n", + "bin edges: [0 0.256 0.495 0.742 1]\n", + "cls=1.25e-06\n", + "discovery=0.0002365\n", + "poi_uncert=0.3693\n", + "\n", + "step 54: loss=cls\n", + "update took 3.45s\n", + "bin edges: [0 0.256 0.495 0.742 1]\n", + "cls=1.31e-06\n", + "discovery=0.0002016\n", + "poi_uncert=0.366\n", + "\n", + "step 55: loss=cls\n", + "update took 2.471s\n", + "bin edges: [0 0.256 0.495 0.742 1]\n", + "cls=1.382e-06\n", + "discovery=0.0001776\n", + "poi_uncert=0.3631\n", + "\n", + "step 56: loss=cls\n", + "update took 2.403s\n", + "bin edges: [0 0.256 0.495 0.742 1]\n", + "cls=1.24e-06\n", + "discovery=0.0001441\n", + "poi_uncert=0.3598\n", + "\n", + "step 57: loss=cls\n", + "update took 2.368s\n", + "bin edges: [0 0.256 0.495 0.742 1]\n", + "cls=1.322e-06\n", + "discovery=0.0001589\n", + "poi_uncert=0.3584\n", + "\n", + "step 58: loss=cls\n", + "update took 3.348s\n", + "bin edges: [0 0.256 0.495 0.742 1]\n", + "cls=1.423e-06\n", + "discovery=0.0001391\n", + "poi_uncert=0.3565\n", + "\n", + "step 59: loss=cls\n", + "update took 2.262s\n", + "bin edges: [0 0.256 0.495 0.742 1]\n", + "cls=1.506e-06\n", + "discovery=0.0001375\n", + "poi_uncert=0.3524\n", + "\n" + ] + } + ], + "source": [ + "include_bins = True # simultaneously optimise binning and neural net!\n", + "num_bins = 4\n", + "bins = jnp.linspace(0, 1, num_bins + 1) # keep in [0,1] if using sigmoid activation\n", + "lr = 1e-3\n", + "num_steps = 60\n", + "# can choose from \"CLs\", \"discovery\", \"poi_uncert\" [approx. uncert. on mu], \"bce\" [classifier]\n", + "objective = \"cls\"\n", + "test_metric = \"discovery\"\n", + "\n", + "# the same keys you used in the model building step [model_from_hists]\n", + "data_types = [\"sig\", \"bkg_nominal\", \"bkg_up\", \"bkg_down\"]\n", + "scales = {k: 2.0 if k == \"sig\" else 10.0 for k in data_types}\n", + "\n", + "\n", + "best_params, metrics = run_optimisation(\n", + " num_steps, objective, test_metric, lr, bins, data_types, scales, include_bins\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Random visualisations!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ { "data": { + "image/png": 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", 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DeviceArray(2.19693968e-05, dtype=float64),\n", - " DeviceArray(1.48435742e-05, dtype=float64),\n", - " DeviceArray(9.35913565e-06, dtype=float64)],\n", - " 'test_loss': [DeviceArray(2.35287632e-05, dtype=float64),\n", - " DeviceArray(1.70566834e-06, dtype=float64),\n", - " DeviceArray(1.11617354e-06, dtype=float64),\n", - " DeviceArray(1.08438735e-06, dtype=float64),\n", - " DeviceArray(1.97689571e-06, dtype=float64),\n", - " DeviceArray(3.39126491e-06, dtype=float64),\n", - " DeviceArray(3.25749298e-06, dtype=float64),\n", - " DeviceArray(3.22669855e-06, dtype=float64),\n", - " DeviceArray(3.14261578e-06, dtype=float64),\n", - " DeviceArray(3.12066055e-06, dtype=float64),\n", - " DeviceArray(2.90500077e-06, dtype=float64),\n", - " DeviceArray(2.84339593e-06, dtype=float64),\n", - " DeviceArray(2.31737151e-06, dtype=float64),\n", - " DeviceArray(1.39411512e-06, dtype=float64),\n", - " DeviceArray(1.07047366e-06, dtype=float64),\n", - " DeviceArray(9.87367532e-07, dtype=float64),\n", - 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DeviceArray(-0.00183691, dtype=float64),\n", - " DeviceArray(-0.00774666, dtype=float64),\n", - " DeviceArray(-0.00998592, dtype=float64),\n", - " DeviceArray(-0.00897645, dtype=float64)],\n", - " 'epoch_grid': [],\n", - " 'pars': {'post-epoch-0': [(DeviceArray([[ 0.03461211, 0.08963372, 0.00074539, ..., -0.03061933,\n", - " -0.03610808, -0.03041384],\n", - " [ 0.0715813 , 0.02988483, 0.00811483, ..., -0.05734253,\n", - " -0.05504322, -0.00157194]], dtype=float32),\n", - " DeviceArray([ 0.01778431, -0.00402131, -0.00365581, ..., 0.0119588 ,\n", - " -0.00207934, -0.00749448], dtype=float32)),\n", - " (),\n", - " (DeviceArray([[ 0.00173731, 0.00430168, 0.00511208, ..., -0.03397341,\n", - " -0.00374931, -0.01860504],\n", - " [-0.02090159, 0.04028343, 0.05571346, ..., 0.04406765,\n", - " -0.01242392, 0.06297275],\n", - " [ 0.02269247, -0.00992602, -0.04954783, ..., 0.00636522,\n", - " -0.03133326, -0.05437366],\n", - " ...,\n", - " [-0.00065288, 0.01556657, -0.0116964 , ..., 0.03372836,\n", - " 0.00836964, -0.00823315],\n", - " [-0.01722111, -0.02237464, -0.01559007, ..., 0.02027703,\n", - " 0.06176555, 0.05073778],\n", - " [-0.01017749, 0.02014277, -0.04629378, ..., -0.0658423 ,\n", - " -0.06948105, 0.0396019 ]], dtype=float32),\n", - " DeviceArray([-0.00349353, -0.00035816, 0.01397473, ..., -0.00181315,\n", - " -0.0241263 , 0.00324436], dtype=float32)),\n", - " (),\n", - " (DeviceArray([[-0.04651356],\n", - " [ 0.03184702],\n", - " [-0.05227218],\n", - " ...,\n", - " [ 0.00777215],\n", - " [ 0.02719924],\n", - " [-0.03107622]], dtype=float32),\n", - " DeviceArray([0.00653545], dtype=float32)),\n", - " ()],\n", - " 'post-epoch-1': [(DeviceArray([[ 0.03300948, 0.09120078, -0.00025366, ..., -0.03095743,\n", - " -0.03790518, -0.03191839],\n", - " [ 0.07303267, 0.02846871, 0.00905005, ..., -0.05957199,\n", - " -0.05401719, 0.00013198]], dtype=float32),\n", - " DeviceArray([ 0.01737212, -0.00212188, -0.0045023 , ..., 0.01405519,\n", - " -0.00257346, 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dtype=float32),\n", - " DeviceArray([0.00388367], dtype=float32)),\n", - " ()],\n", - " 'post-epoch-2': [(DeviceArray([[ 3.2281853e-02, 9.2181161e-02, -2.1387808e-05, ...,\n", - " -3.2303683e-02, -3.9687011e-02, -3.2599136e-02],\n", - " [ 7.3500268e-02, 2.7700869e-02, 8.3445786e-03, ...,\n", - " -6.1134338e-02, -5.3452242e-02, 1.0178870e-03]], dtype=float32),\n", - " DeviceArray([ 0.01579907, -0.00055085, -0.00710869, ..., 0.01731742,\n", - " -0.00261137, -0.00539406], dtype=float32)),\n", - " (),\n", - " (DeviceArray([[ 0.00335429, 0.00619762, 0.00285042, ..., -0.03448601,\n", - " -0.00374931, -0.01966722],\n", - " [-0.01807399, 0.0376292 , 0.05838328, ..., 0.04147416,\n", - " -0.01242392, 0.06582875],\n", - " [ 0.02252917, -0.00815426, -0.0521327 , ..., 0.00746765,\n", - " -0.03133326, -0.0544034 ],\n", - " ...,\n", - " [ 0.00214813, 0.01318577, -0.00904041, ..., 0.03171881,\n", - " 0.00621027, -0.00533723],\n", - " [-0.01452005, -0.02468678, -0.01299596, ..., 0.01833109,\n", - " 0.05961392, 0.05352702],\n", - " [-0.01214267, 0.02214357, -0.04881328, ..., -0.06711706,\n", - " -0.07162184, 0.03808565]], dtype=float32),\n", - " DeviceArray([-0.00018717, -0.00326605, 0.01864611, ..., -0.00446187,\n", - " -0.02632264, 0.00655048], dtype=float32)),\n", - " (),\n", - " (DeviceArray([[-0.04973336],\n", - " [ 0.02930642],\n", - " [-0.05045142],\n", - " ...,\n", - " [ 0.00543852],\n", - " [ 0.02524832],\n", - " [-0.03422985]], dtype=float32),\n", - " DeviceArray([0.00060639], dtype=float32)),\n", - " ()],\n", - " 'post-epoch-3': [(DeviceArray([[ 0.03194332, 0.09291041, 0.00048266, ..., -0.03374135,\n", - " -0.04123077, -0.03294481],\n", - " [ 0.07342307, 0.0273406 , 0.0070903 , ..., -0.06178537,\n", - " -0.05303269, 0.00146356]], dtype=float32),\n", - " DeviceArray([ 0.01381254, 0.00085352, -0.00981413, ..., 0.02060601,\n", - " -0.00247614, -0.00514659], dtype=float32)),\n", - " (),\n", - " (DeviceArray([[ 0.00437782, 0.0058378 , 0.00236915, ..., -0.03507716,\n", - " -0.00374931, -0.01970195],\n", - " [-0.01731944, 0.03690399, 0.05910962, ..., 0.04080106,\n", - " -0.01242392, 0.06662571],\n", - " [ 0.02241883, -0.00822063, -0.05276915, ..., 0.00751226,\n", - " -0.03133326, -0.0544284 ],\n", - " ...,\n", - " [ 0.00288264, 0.01252365, -0.00833978, ..., 0.03121953,\n", - " 0.0056723 , -0.00458386],\n", - " [-0.01381773, -0.02533099, -0.01231753, ..., 0.01784828,\n", - " 0.05907791, 0.05424607],\n", - " [-0.01256784, 0.02227502, -0.04940869, ..., -0.06789716,\n", - " -0.0721459 , 0.03773886]], dtype=float32),\n", - " DeviceArray([ 0.0007551 , -0.00445799, 0.02079784, ..., -0.00520574,\n", - " -0.02687146, 0.00751692], dtype=float32)),\n", - " (),\n", - " (DeviceArray([[-0.05060438],\n", - " [ 0.02838052],\n", - " [-0.05004761],\n", - " ...,\n", - " [ 0.00478811],\n", - " [ 0.02476073],\n", - " [-0.03508484]], dtype=float32),\n", - " DeviceArray([-0.00260078], dtype=float32)),\n", - " ()],\n", - " 'post-epoch-4': [(DeviceArray([[ 0.03178716, 0.09343064, 0.00093899, ..., -0.03486153,\n", - " -0.04236264, -0.03315259],\n", - " [ 0.07320864, 0.02715596, 0.00601478, ..., -0.0619179 ,\n", - " -0.0526996 , 0.0017091 ]], dtype=float32),\n", - " DeviceArray([ 0.01208899, 0.00197776, -0.01187852, ..., 0.02333199,\n", - " -0.00233972, -0.00502234], dtype=float32)),\n", - " (),\n", - " (DeviceArray([[ 0.00539733, 0.00537654, 0.00206398, ..., -0.03553127,\n", - " -0.00374931, -0.01962758],\n", - " [-0.0167809 , 0.03640136, 0.05961957, ..., 0.04034355,\n", - " -0.01242392, 0.0672012 ],\n", - " [ 0.02234982, -0.0083178 , -0.0531976 , ..., 0.00752538,\n", - " -0.03133326, -0.05444454],\n", - " ...,\n", - " [ 0.00336435, 0.01207753, -0.00786968, ..., 0.03088279,\n", - " 0.00530899, -0.00408948],\n", - " [-0.01335931, -0.02576389, -0.01186466, ..., 0.01752286,\n", - " 0.05871592, 0.05471517],\n", - " [-0.01291023, 0.02227196, -0.04981849, ..., -0.06842809,\n", - " -0.07249686, 0.03746387]], dtype=float32),\n", - " DeviceArray([ 0.00140617, -0.00536992, 0.02245046, ..., -0.00571594,\n", - " -0.02724266, 0.00819512], dtype=float32)),\n", - " (),\n", - " (DeviceArray([[-0.05118783],\n", - " [ 0.02766497],\n", - " [-0.04979014],\n", - " ...,\n", - " [ 0.00434128],\n", - " [ 0.02443091],\n", - " [-0.03566821]], dtype=float32),\n", - " DeviceArray([-0.00523573], dtype=float32)),\n", - " ()]},\n", - " 'yields': [array([ 1.84, 2.31, 5.04, 10.81]),\n", - " array([90.35, 6.25, 3. , 0.4 ]),\n", - " array([72.4 , 13.15, 9.3 , 5.15]),\n", - " array([71.95, 14.45, 9.85, 3.75])],\n", - " 'pull_width': DeviceArray(0.90635093, dtype=float64)})" + "
" ] }, - "execution_count": 5, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "epoch_grid = (jnp.array(list(range(1, num_steps + 1))) * batch_size) / train[0].shape[0]\n", + "for k, v in metrics.items():\n", + " if k != \"generalised_variance\":\n", + " plt.plot(epoch_grid, v, label=k)\n", + "plt.yscale(\"log\")\n", + "plt.legend()\n", + "plt.xlabel(\"epoch\")\n", + "plt.ylabel(\"metric\")\n", + "plt.savefig(\"float.png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Histograms" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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" + "
" ] }, "metadata": {}, "output_type": "display_data" - }, + } + ], + "source": [ + "yields = neos.hists_from_nn(\n", + " best_params[\"nn_pars\"],\n", + " {k: v for k, v in zip(data_types, test)},\n", + " nn,\n", + " bandwidth=1e-8,\n", + " scale_factors={k: 2.0 if k == \"sig\" else 10.0 for k in data_types},\n", + " bins=jnp.array([0, *best_params[\"bins\"], 1]),\n", + ")\n", + "binning = best_params[\"bins\"]\n", + "\n", + "for c, (l, a) in zip(\n", + " [\"C0\", \"C1\", \"C2\", \"C3\"], zip(yields, jnp.array(list(yields.values())))\n", + "):\n", + " plt.bar(range(len(a)), a, label=l, alpha=0.4, fill=None, edgecolor=c, linewidth=2)\n", + "plt.legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Neural network contours (only relevant for the blobs problem)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ { "data": { - "image/png": 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", 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" ] }, "metadata": {}, @@ -522,7 +1070,349 @@ } ], "source": [ - "p.run()" + "plot_data_space(ax, best_params, data=test, nn=nn)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## More hacky way of doing the same thing\n", + "The above pipeline is actually limited by the fact that we've only got `pyhf` to construct models differentiably for this particular systematic type -- there are currently some technical roadblocks to doing it for others.\n", + "\n", + "One way to circumvent this is to just hack the model structure itself, because all we care about is the likelhood, and that uses class attributes to calculate it. We'll have to make a copy of the model each time so we don't mutate the global state of the program (`jax` hates when you do this), but it's possible, albeit a bit cumbersome to write. \n", + "\n", + "(apologies in advance if you read the code -- let's discuss if you want to do this!)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "from copy import deepcopy\n", + "\n", + "\n", + "def hacked_pipeline(\n", + " pars: dict[str, Array],\n", + " data: tuple[Array, ...],\n", + " nn: Callable,\n", + " loss: str | Callable,\n", + " bandwidth: float,\n", + " sample_names: Iterable,\n", + " skeleton_model: pyhf.Model, # new argument: dummy model with random yields\n", + " scale_factors: dict[str, float],\n", + " bins: Array | None = None,\n", + " lumi: float = 10.0,\n", + ") -> float:\n", + " data_dct = {k: v for k, v in zip(sample_names, data)}\n", + " if loss.lower() in [\"bce\", \"binary cross-entropy\"]:\n", + " return neos.losses.bce(data=data_dct, pars=pars[\"nn_pars\"], nn=nn)\n", + " hists = neos.hists_from_nn(\n", + " pars=pars[\"nn_pars\"],\n", + " nn=nn,\n", + " data=data_dct,\n", + " bandwidth=bandwidth,\n", + " bins=jnp.array([0, *pars[\"bins\"], 1]) if \"bins\" in pars else bins,\n", + " scale_factors=scale_factors,\n", + " overall_scale=lumi,\n", + " )\n", + " # NB: below is a way to hack your model with yield information so you don't have\n", + " # to go through all the pyhf boilerplate when taking gradients.\n", + " # This could be the more realistic way to do this if you want to do it *now* for an\n", + " # arbitrary model that we haven't tested.\n", + " # to start: make a copy of a dummy model with the same spec as your real model\n", + " model = deepcopy(skeleton_model)\n", + "\n", + " # the model yields are in two places in our case:\n", + " # - the nominal sig + bkg yields\n", + " # - the up/down/nominal templates for the systematic [histosys],\n", + " # located in the interpolation settings\n", + " # => we find these attributes, and hack in our calculated values from the nn.\n", + " #\n", + " # start by getting the infromation on the interpolator type:\n", + " interpcode = model.main_model.modifiers_appliers[\"histosys\"].interpcode\n", + " interp_maker = getattr(pyhf.interpolators, interpcode)\n", + "\n", + " # then we update the model in-place with the new nominal and template information:\n", + " def model_update_from_hists(hists):\n", + " nominal_rates = jnp.stack([hists[\"bkg_nominal\"], hists[\"sig\"]]).reshape(\n", + " model.main_model.nominal_rates.shape\n", + " )\n", + " histoset = [\n", + " [\n", + " [hists[\"bkg_down\"], hists[\"bkg_nominal\"], hists[\"bkg_up\"]],\n", + " [hists[\"sig\"]] * 3,\n", + " ]\n", + " ]\n", + "\n", + " return nominal_rates, histoset\n", + "\n", + " def update_model(new_nominal, new_histoset):\n", + " model.main_model.nominal_rates = new_nominal\n", + " interpolator = interp_maker(new_histoset)\n", + " model.main_model.modifiers_appliers[\"histosys\"].interpolator = interpolator\n", + "\n", + " update_model(*model_update_from_hists(hists))\n", + "\n", + " # back to normal code...\n", + " return neos.loss_from_model(model, loss=loss)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "step 0: loss=cls\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "update took 2.506s\n", + "bin edges: [0 0.251 0.501 0.749 1]\n", + "cls=0.003912\n", + "discovery=0.009824\n", + "poi_uncert=0.4526\n", + "\n", + "step 1: loss=cls\n", + "update took 2.477s\n", + "bin edges: [0 0.252 0.5 0.748 1]\n", + "cls=9.274e-06\n", + "discovery=0.008902\n", + "poi_uncert=0.4859\n", + "\n", + "step 2: loss=cls\n", + "update took 2.473s\n", + "bin edges: [0 0.252 0.5 0.748 1]\n", + "cls=1.447e-06\n", + "discovery=0.002055\n", + "poi_uncert=0.4358\n", + "\n", + "step 3: loss=cls\n", + "update took 3.282s\n", + "bin edges: [0 0.253 0.499 0.747 1]\n", + "cls=9.776e-07\n", + "discovery=0.0009045\n", + "poi_uncert=0.3611\n", + "\n", + "step 4: loss=cls\n", + "update took 2.485s\n", + "bin edges: [0 0.253 0.499 0.747 1]\n", + "cls=1.111e-06\n", + "discovery=0.0006624\n", + "poi_uncert=0.3007\n", + "\n", + "step 5: loss=cls\n", + "update took 2.432s\n", + "bin edges: [0 0.254 0.498 0.747 1]\n", + "cls=1.268e-06\n", + "discovery=0.0007909\n", + "poi_uncert=0.2642\n", + "\n", + "step 6: loss=cls\n", + "update took 2.436s\n", + "bin edges: [0 0.254 0.498 0.747 1]\n", + "cls=1.432e-06\n", + "discovery=0.002224\n", + "poi_uncert=0.27\n", + "\n", + "step 7: loss=cls\n", + "update took 3.096s\n", + "bin edges: [0 0.254 0.498 0.746 1]\n", + "cls=1.807e-06\n", + "discovery=0.002976\n", + "poi_uncert=0.2939\n", + "\n", + "step 8: loss=cls\n", + "update took 2.432s\n", + "bin edges: [0 0.254 0.498 0.746 1]\n", + "cls=2.518e-06\n", + "discovery=0.004231\n", + "poi_uncert=0.3203\n", + "\n", + "step 9: loss=cls\n", + "update took 2.437s\n", + "bin edges: [0 0.255 0.497 0.746 1]\n", + "cls=2.697e-06\n", + "discovery=0.00392\n", + "poi_uncert=0.3322\n", + "\n", + "step 10: loss=cls\n", + "update took 2.389s\n", + "bin edges: [0 0.255 0.497 0.746 1]\n", + "cls=2.759e-06\n", + "discovery=0.004981\n", + "poi_uncert=0.3446\n", + "\n", + "step 11: loss=cls\n", + "update took 2.303s\n", + "bin edges: [0 0.255 0.497 0.745 1]\n", + "cls=2.876e-06\n", + "discovery=0.005473\n", + "poi_uncert=0.3513\n", + "\n", + "step 12: loss=cls\n", + "update took 3.467s\n", + "bin edges: [0 0.255 0.497 0.745 1]\n", + "cls=3.035e-06\n", + "discovery=0.005761\n", + "poi_uncert=0.3573\n", + "\n", + "step 13: loss=cls\n", + "update took 2.399s\n", + "bin edges: [0 0.255 0.497 0.745 1]\n", + "cls=2.904e-06\n", + "discovery=0.005735\n", + "poi_uncert=0.3544\n", + "\n", + "step 14: loss=cls\n", + "update took 2.423s\n", + "bin edges: [0 0.255 0.497 0.745 1]\n", + "cls=2.958e-06\n", + "discovery=0.005783\n", + "poi_uncert=0.3499\n", + "\n", + "step 15: loss=cls\n", + "update took 2.496s\n", + "bin edges: [0 0.255 0.497 0.745 1]\n", + "cls=2.916e-06\n", + "discovery=0.005053\n", + "poi_uncert=0.3452\n", + "\n", + "step 16: loss=cls\n", + "update took 2.474s\n", + "bin edges: [0 0.255 0.496 0.745 1]\n", + "cls=2.846e-06\n", + "discovery=0.004658\n", + "poi_uncert=0.3396\n", + "\n", + "step 17: loss=cls\n", + "update took 2.428s\n", + "bin edges: [0 0.256 0.496 0.744 1]\n", + "cls=2.679e-06\n", + "discovery=0.004739\n", + "poi_uncert=0.3335\n", + "\n", + "step 18: loss=cls\n", + "update took 2.429s\n", + "bin edges: [0 0.256 0.496 0.744 1]\n", + "cls=2.698e-06\n", + "discovery=0.00402\n", + "poi_uncert=0.3213\n", + "\n", + "step 19: loss=cls\n", + "update took 2.283s\n", + "bin edges: [0 0.256 0.496 0.744 1]\n", + "cls=2.693e-06\n", + "discovery=0.003039\n", + "poi_uncert=0.309\n", + "\n" + ] + } + ], + "source": [ + "from jaxopt import OptaxSolver\n", + "import optax\n", + "from time import perf_counter\n", + "\n", + "include_bins = True\n", + "num_bins = 4\n", + "bins = jnp.linspace(0, 1, num_bins + 1) # keep in [0,1] if using sigmoid activation\n", + "lr = 1e-3\n", + "num_steps = 20\n", + "# can choose from \"CLs\", \"discovery\", \"poi_uncert\" [approx. uncert. on mu], \"bce\" [classifier]\n", + "objective = \"cls\"\n", + "keep_metric = \"discovery\"\n", + "\n", + "# the same keys you used in the model building step [model_from_hists]\n", + "data_types = [\"sig\", \"bkg_nominal\", \"bkg_up\", \"bkg_down\"]\n", + "scales = {k: 2.0 if k == \"sig\" else 10.0 for k in data_types}\n", + "loss = partial(\n", + " hacked_pipeline,\n", + " nn=nn,\n", + " sample_names=data_types,\n", + " scale_factors=scales,\n", + " skeleton_model=model_from_hists(\n", + " {k: v for k, v in zip(data_types, [jnp.ones(num_bins)] * 4)}\n", + " ),\n", + ")\n", + "\n", + "jax.jit(loss, static_argnames=(\"loss\"))\n", + "\n", + "solver = OptaxSolver(loss, opt=optax.adam(lr), jit=True)\n", + "\n", + "pyhf.set_backend(\"jax\", default=True)\n", + "\n", + "if include_bins:\n", + " init_pars[\"bins\"] = bins[\n", + " 1:-1\n", + " ] # don't want to float endpoints [will account for kde spill]\n", + " state = solver.init_state(init_pars)\n", + "else:\n", + " if \"bins\" in init_pars:\n", + " del init_pars[\"bins\"]\n", + " state = solver.init_state(init_pars)\n", + "\n", + "params = init_pars\n", + "best_params = init_pars\n", + "best_sig = 999\n", + "metrics = {k: [] for k in [\"cls\", \"discovery\", \"poi_uncert\"]}\n", + "\n", + "for i in range(num_steps):\n", + " print(f\"step {i}: loss={objective}\")\n", + " data = next(batch_iterator)\n", + " start = perf_counter()\n", + " params, state = solver.update(\n", + " params, state, bins=bins, data=data, loss=objective, bandwidth=9e-2\n", + " )\n", + " end = perf_counter()\n", + " print(f\"update took {end-start:.4g}s\")\n", + " if \"bins\" in params:\n", + " print(\"bin edges: [0 \", *[f\"{f:.3g}\" for f in params[\"bins\"]], \" 1]\")\n", + " for metric in metrics:\n", + " test_metric = loss(params, bins=bins, data=test, loss=metric, bandwidth=1e-8)\n", + " print(f\"{metric}={test_metric:.4g}\")\n", + " metrics[metric].append(test_metric)\n", + " if metrics[\"discovery\"][-1] < best_sig:\n", + " best_params = params\n", + " best_sig = metrics[\"discovery\"][-1]\n", + " print()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DeviceArray(0.00066241, dtype=float64)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "best_sig" ] }, { @@ -535,10 +1425,10 @@ ], "metadata": { "interpreter": { - "hash": "add7f649dd775e2836e5066b13fa3fabbf6edcd3797c3e56305cb8e8cb136921" + "hash": "22d6333b89854cd01c2018f3ca2f5a59a2cde2765fbca789ff36cfad48ca629b" }, "kernelspec": { - "display_name": "Python 3.9.0 64-bit ('venv': venv)", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -552,9 +1442,8 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" - }, - "orig_nbformat": 4 + "version": "3.9.12" + } }, "nbformat": 4, "nbformat_minor": 2 diff --git a/examples/ap000.gif b/examples/ap000.gif new file mode 100644 index 0000000..88c77d5 Binary files /dev/null and b/examples/ap000.gif differ diff --git a/examples/binning.ipynb b/examples/binning.ipynb new file mode 100644 index 0000000..7a2f92a --- /dev/null +++ b/examples/binning.ipynb @@ -0,0 +1,1081 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/lib/__init__.py:33: UserWarning: JAX on Mac ARM machines is experimental and minimally tested. Please see https://github.com/google/jax/issues/5501 in the event of problems.\n", + " warnings.warn(\"JAX on Mac ARM machines is experimental and minimally tested. \"\n" + ] + } + ], + "source": [ + "from __future__ import annotations\n", + "\n", + "import jax\n", + "import jax.numpy as jnp\n", + "from jax.random import PRNGKey\n", + "import matplotlib as mpl\n", + "import matplotlib.pyplot as plt\n", + "import relaxed\n", + "from jaxopt import OptaxSolver\n", + "from optax import adam\n", + "from functools import partial\n", + "import jax.scipy as jsp\n", + "from plothelp import autogrid\n", + "import pyhf\n", + "from celluloid import Camera\n", + "\n", + "pyhf.set_backend(\"jax\", default=True)\n", + "\n", + "# matplotlib settings\n", + "plt.rc(\"figure\", figsize=(6, 3), dpi=150, facecolor=\"w\")\n", + "plt.rc(\"legend\", fontsize=6)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Binning optimisation with `relaxed` and gradient descent\n", + "\n", + "Normally, when we choose a binning, we pick something with uniform widths. It's easy, convenient, and can often aid in reasoning. However, if you wanted to squeeze every last drop of sensitivity out of an analysis, this binning (i.e. the location of the bin edges) can be further optimised for the best significance. That's what we'll be exploring below.\n", + "\n", + "To start, we'll generate some toy signal and background data to play with." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:absl:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# generate background data from an exponential distribution with a little noise\n", + "def generate_background(key, n_samples, n_features, noise_std):\n", + " key, subkey = jax.random.split(key, 2)\n", + " data = jax.random.exponential(subkey, (n_samples, n_features))\n", + " key, subkey = jax.random.split(key, 2)\n", + " data += jax.random.normal(subkey, (n_samples, n_features)) * noise_std\n", + " return data\n", + "\n", + "\n", + "# generate signal data from a normal distribution close to the background\n", + "def generate_signal(key, n_samples, n_features):\n", + " key, subkey = jax.random.split(key, 2)\n", + " data = jax.random.normal(subkey, (n_samples, n_features)) / 2 + 2\n", + " return data\n", + "\n", + "\n", + "# get 1000 samples from the background and 100 samples from the signal\n", + "bkg = generate_background(PRNGKey(0), 1000, 1, 0.1).ravel()\n", + "sig = generate_signal(PRNGKey(1), 100, 1).ravel()\n", + "\n", + "plt.hist(\n", + " [bkg, sig], stacked=True, bins=30, histtype=\"step\", label=[\"background\", \"signal\"]\n", + ")\n", + "plt.legend();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we've just used an arbitrary binning for display purposes, but now we'll seek to find something more optimal. We can come up with a criteria for this using the infamous formula for median discovery significance in the case of known background:\n", + "\n", + "$$\n", + "Z_A = 2 \\sum_{i=0}^{\\mathrm{num~bins-1}}(s_i + b_i)\\log(1 + s_i / b_i) - s_i\n", + "$$\n", + "\n", + "We can then seek to minimise 1/$Z_A$ (since there are far more minimisation than maximisation routines) using gradient descent. One optimisation step will then involve constructing the histogram with our current binning, calculating the significance of that histogram, then updating the bin edges with the gradient of the significance. For the last step, we'll use the `jaxopt` library for minimisation, and the `adam` optimiser from `optax`.\n", + "\n", + "There is one important caveat though -- this workflow contains histograms, which are not a differentiable operation. To circumvent this issue, we'll be using `relaxed.hist`, which is a surrogate for the traditional histogram calculated via kernel density estimation. The main difference is that `relaxed.hist` has a parameter called the *bandwidth*, where lower bandwidth = less approximation [but more unstable gradients]. (see section 2.1 of https://arxiv.org/abs/2203.05570 for more info). Note that after optimisation, we'd use this binning for a true histogram, so we should calculate that significance too as our main performance measure.\n", + "\n", + "Below, we set this all up, then perform the optimisation!" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# differentiable significance pipeline\n", + "def asimov_pipe(bins, s, b, bandwidth=1e-2):\n", + " # restrict bin edges so they don't overlap during optimisation\n", + " bins_new = jnp.concatenate(\n", + " (\n", + " jnp.array([bins[0]]),\n", + " jnp.where(bins[1:] > bins[:-1], bins[1:], bins[:-1] + 1e-4),\n", + " ),\n", + " axis=0,\n", + " )\n", + " # make differentiable histograms for each dataset\n", + " s_hist = relaxed.hist(s, bins=bins_new, bandwidth=bandwidth) + 1e-4\n", + " b_hist = relaxed.hist(b, bins=bins_new, bandwidth=bandwidth) + 1e-4\n", + " # 1/significance because we want to minimise this function\n", + " return 1 / relaxed.metrics.asimov_sig(s_hist, b_hist)\n", + "\n", + "\n", + "# significance with true histograms for comparison\n", + "def hard_asimov_pipe(bins, s, b):\n", + " s_hist = jnp.histogram(s, bins=bins)[0] + 1e-4\n", + " b_hist = jnp.histogram(b, bins=bins)[0] + 1e-4\n", + " return relaxed.metrics.asimov_sig(s_hist, b_hist)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n" + ] + } + ], + "source": [ + "# optimisation!\n", + "def run(num_bins):\n", + " bins = jnp.linspace(0, 8, num_bins + 1)\n", + " loss = partial(asimov_pipe, s=sig, b=bkg, bandwidth=1e-1)\n", + " solver = OptaxSolver(loss, adam(learning_rate=1e-3), maxiter=10000, tol=1e-6)\n", + " opt = solver.run(bins).params\n", + " return opt\n", + "\n", + "\n", + "# scan over a range of bin numbers to find the best significance\n", + "bin_number_range_to_scan = [2, 4, 6, 8] # add more bins here as you like\n", + "results = [run(i) for i in bin_number_range_to_scan]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib as mpl\n", + "\n", + "\n", + "def plot_bins(ax, bins_opt, i, title=True) -> None:\n", + " a = ax.hist(\n", + " [bkg, sig],\n", + " stacked=True,\n", + " bins=bins_opt,\n", + " histtype=\"step\",\n", + " label=[\"background\", \"signal\"],\n", + " color=[\"C0\", \"C1\"],\n", + " )\n", + " handles = [\n", + " mpl.patches.Patch(edgecolor=\"C0\", facecolor=\"w\", label=\"background\"),\n", + " mpl.patches.Patch(edgecolor=\"C1\", facecolor=\"w\", label=\"signal\"),\n", + " ]\n", + " labels = [\"background\", \"signal\"]\n", + " # add legend\n", + " ax.legend(handles, labels, loc=\"upper right\")\n", + " significance = hard_asimov_pipe(bins_opt, sig, bkg)\n", + " if title:\n", + " ax.set_title(f\"#bins={len(bins_opt)-1}, sig={significance:.3f}\")\n", + " else:\n", + " ax.text(\n", + " 0.6,\n", + " 0.7,\n", + " f\"#bins={len(bins_opt)-1}, significance={significance:.3f}\",\n", + " ha=\"center\",\n", + " va=\"center\",\n", + " transform=ax.transAxes,\n", + " )\n", + "\n", + "\n", + "# plot helper function I wrote for automatic grids\n", + "# see github.com/phinate/plothelp\n", + "_ = autogrid(\n", + " data=results,\n", + " subplot_kwargs={\"sharex\": True, \"sharey\": True},\n", + " plot_func=plot_bins,\n", + " title=\"optimised bins (stat-only)\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here's the same calculation, but producing an animation of how the bin edges (and significance) change during training." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n", + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "num_bins = 4\n", + "pars = jnp.linspace(0, 8, num_bins + 1)\n", + "\n", + "# differentiable significance pipeline\n", + "def asimov_pipe(bins, s, b, bandwidth=1e-2):\n", + " # restrict bin edges so they don't overlap during optimisation\n", + " bins_new = jnp.concatenate(\n", + " (\n", + " jnp.array([bins[0]]),\n", + " jnp.where(bins[1:] > bins[:-1], bins[1:], bins[:-1] + 1e-4),\n", + " ),\n", + " axis=0,\n", + " )\n", + " # make differentiable histograms for each dataset\n", + " s_hist = relaxed.hist(s, bins=bins_new, bandwidth=bandwidth) + 1e-4\n", + " b_hist = relaxed.hist(b, bins=bins_new, bandwidth=bandwidth) + 1e-4\n", + "\n", + " # 1/significance because we want to minimise this function\n", + " return 1 / relaxed.metrics.asimov_sig(s_hist, b_hist)\n", + "\n", + "\n", + "loss = partial(asimov_pipe, s=sig, b=bkg, bandwidth=1e-1)\n", + "solver = OptaxSolver(loss, adam(learning_rate=5e-3), maxiter=10000, tol=1e-6)\n", + "state = solver.init_state(pars) # we're doing init, update steps instead of .run()\n", + "\n", + "fig, ax = plt.subplots()\n", + "cam = Camera(fig)\n", + "steps = 200 # increase me for better results! (100ish works well)\n", + "for i in range(steps):\n", + " pars, state = solver.update(pars, state)\n", + " s_hist = jnp.histogram(sig, bins=pars)[0] + 1e-4\n", + " b_hist = jnp.histogram(bkg, bins=pars)[0] + 1e-4\n", + " significance = relaxed.metrics.asimov_sig(s_hist, b_hist)\n", + " plot_bins(ax, pars, 0, False)\n", + " cam.snap()\n", + "\n", + "ani = cam.animate()\n", + "# uncomment this to save and view the animation!\n", + "ani.save(\"ap000.gif\", fps=14)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Systematic-aware binning (prototype)\n", + "\n", + "The above code concerns the problem of optimising with known background. A more realistic scenario would be that we have some kind of uncertainty on this background, which would strongly affect the significance if it isn't negligible.\n", + "\n", + "Not to worry -- we can still optimise while accounting for this uncertainty! The issue is that we're now forced to describe in detail our statistical modelling step, as this will let us calculate the significance in a way that includes the treatment of nuisance parameters that model the background uncertainty.\n", + "\n", + "We'll look at the case of a simple three-point systematic, which contains a nominal estimation of the background histogram at the best estimate of some physical parameter, e.g. the jet energy scale (JES), but also two variations of the background that correspond to simulating physics at+-1 standard deviations away from that estimate. Here, we're just going to transpose the background data to the right and the left by a shift value.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "shift = 0.4\n", + "bup = bkg + shift\n", + "bdown = bkg - shift\n", + "\n", + "from copy import deepcopy\n", + "\n", + "# specify the workspace for a simple model with a three-point background systematic\n", + "def correlated_background(signal, bkg, bkg_up, bkg_down):\n", + " spec = {\n", + " \"channels\": [\n", + " {\n", + " \"name\": \"single_channel\",\n", + " \"samples\": [\n", + " {\n", + " \"name\": \"signal\",\n", + " \"data\": signal,\n", + " \"modifiers\": [\n", + " {\"name\": \"mu\", \"type\": \"normfactor\", \"data\": None}\n", + " ],\n", + " },\n", + " {\n", + " \"name\": \"background\",\n", + " \"data\": bkg,\n", + " \"modifiers\": [\n", + " {\n", + " \"name\": \"correlated_bkg_uncertainty\",\n", + " \"type\": \"histosys\",\n", + " \"data\": {\"hi_data\": bkg_up, \"lo_data\": bkg_down},\n", + " }\n", + " ],\n", + " },\n", + " ],\n", + " }\n", + " ]\n", + " }\n", + " return pyhf.Model(\n", + " spec, validate=False\n", + " ) # false validation enables the use of jax arrays\n", + "\n", + "\n", + "from pyhf import interpolators\n", + "\n", + "# pipeline to calculate the full CLs for the model, given a number of bins\n", + "def pipe(num_bins):\n", + " def cls_pipe(bins, s, b, bup, bdown, bandwidth=1e-2, skeleton_model=None):\n", + " # restrict bin edges so they don't overlap\n", + " bins_new = jnp.concatenate(\n", + " (\n", + " jnp.array([bins[0]]),\n", + " jnp.where(bins[1:] > bins[:-1], bins[1:], bins[:-1] + 1e-3),\n", + " ),\n", + " axis=0,\n", + " )\n", + " # make differentiable histograms for each dataset\n", + " s_hist = relaxed.hist(s, bins=bins_new, bandwidth=bandwidth) + 1e-4\n", + " b_hist = relaxed.hist(b, bins=bins_new, bandwidth=bandwidth) + 1e-4\n", + " bup_hist = relaxed.hist(bup, bins=bins_new, bandwidth=bandwidth) + 1e-4\n", + " bdown_hist = relaxed.hist(bdown, bins=bins_new, bandwidth=bandwidth) + 1e-4\n", + "\n", + " # we hack our new values into the model since we already have the structure\n", + " # NB: this only approximates the model (there's other metadata to edit somewhere)\n", + " # but it's good enough for a loose optimisation, and it's super fast!\n", + " # make a dummy model with unit yields\n", + " model = deepcopy(skeleton_model)\n", + " interpcode = model.main_model.modifiers_appliers[\"histosys\"].interpcode\n", + "\n", + " def update_model(new_nominal, new_histoset):\n", + " model.main_model.nominal_rates = new_nominal\n", + " interpolator = getattr(interpolators, interpcode)(new_histoset)\n", + " model.main_model.modifiers_appliers[\"histosys\"].interpolator = interpolator\n", + "\n", + " nominal_rates = jnp.stack([b_hist, s_hist]).reshape(\n", + " model.main_model.nominal_rates.shape\n", + " )\n", + " histoset = [[[bdown_hist, b_hist, bup_hist], [s_hist] * 3]]\n", + "\n", + " update_model(nominal_rates, histoset)\n", + " # differentiabe cls calculation\n", + " nominal = (\n", + " jnp.array(model.config.suggested_init()).at[model.config.poi_index].set(0.0)\n", + " )\n", + " data = model.expected_data(nominal)\n", + " pval = relaxed.infer.hypotest(\n", + " 1, lr=1e-3, model=model, data=data, test_stat=\"q\", expected_pars=nominal\n", + " )\n", + " return pval\n", + "\n", + " return cls_pipe\n", + "\n", + "\n", + "# use true histograms to calculate the CLs for a given binning\n", + "def pipe_uncert_hard(bins, s, b):\n", + " s_hist = jnp.histogram(s, bins=bins)[0] + 1e-4\n", + " b_hist = jnp.histogram(b, bins=bins)[0] + 1e-4\n", + " bup_hist = jnp.histogram(bup, bins=bins)[0] + 1e-4\n", + " bdown_hist = jnp.histogram(bdown, bins=bins)[0] + 1e-4\n", + " uncert = jnp.abs(bup_hist - bdown_hist) + 1e-4\n", + " model = correlated_background(s_hist, b_hist, bup_hist, bdown_hist)\n", + " nominal = model.config.suggested_init()\n", + " data = model.expected_data(nominal)\n", + " pval = pyhf.infer.hypotest(0, pdf=model, data=data, test_stat=\"q0\")\n", + " return jsp.stats.norm.ppf(1 - pval), [s_hist, b_hist, uncert]" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n" + ] + }, + { + "data": { + "text/plain": [ + "(DeviceArray(0.00171969, dtype=float64),\n", + " DeviceArray([-0.00830832, 0.01676664, -0.00397049, 0.00054664,\n", + " 0. ], dtype=float64))" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bins = jnp.linspace(0, 8, num_bins + 1)\n", + "cls_pipe = pipe(num_bins)\n", + "loss = partial(\n", + " cls_pipe,\n", + " s=sig,\n", + " b=bkg,\n", + " bup=bup,\n", + " bdown=bdown,\n", + " bandwidth=1e-2,\n", + " skeleton_model=correlated_background(*[jnp.ones(num_bins)] * 4),\n", + ")\n", + "jax.value_and_grad(loss)(bins)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n" + ] + } + ], + "source": [ + "# optimisation!\n", + "def run_uncert(num_bins):\n", + " bins = jnp.linspace(0, 8, num_bins + 1)\n", + " cls_pipe = pipe(num_bins)\n", + " skeleton = correlated_background(*[jnp.ones(num_bins)] * 4)\n", + " loss = partial(\n", + " cls_pipe,\n", + " s=sig,\n", + " b=bkg,\n", + " bup=bup,\n", + " bdown=bdown,\n", + " bandwidth=1e-2,\n", + " skeleton_model=skeleton,\n", + " )\n", + " solver = OptaxSolver(\n", + " loss, adam(learning_rate=1e-3), maxiter=10000, tol=1e-6, jit=True\n", + " )\n", + " opt = solver.run(bins).params\n", + " return opt # , pipe_uncert_hard(opt, sig, bkg)\n", + "\n", + "\n", + "# slower than before, since we're doing a full CLs calculation\n", + "bin_number_range_to_scan = [2, 3, 6] # add more bins here as you like\n", + "many = [run_uncert(i) for i in bin_number_range_to_scan]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def plot_bins(ax, bins_opt, i) -> None:\n", + " ax.hist(\n", + " [bkg, sig],\n", + " stacked=True,\n", + " bins=bins_opt,\n", + " histtype=\"step\",\n", + " label=[\"background\", \"signal\"],\n", + " )\n", + " ax.hist(\n", + " bdown.tolist(),\n", + " bins=bins_opt,\n", + " histtype=\"step\",\n", + " label=\"bdown\",\n", + " alpha=0.5,\n", + " linestyle=\"--\",\n", + " )\n", + " ax.hist(\n", + " bup.tolist(),\n", + " bins=bins_opt,\n", + " histtype=\"step\",\n", + " label=\"bup\",\n", + " alpha=0.5,\n", + " linestyle=\"--\",\n", + " )\n", + " ax.legend()\n", + " significance, _ = pipe_uncert_hard(bins_opt, sig, bkg)\n", + " ax.set_title(f\"#bins={len(bins_opt)-1}, sig={significance:.3f}\")\n", + "\n", + "\n", + "_ = autogrid(\n", + " data=many,\n", + " subplot_kwargs={\"sharex\": True, \"sharey\": True},\n", + " plot_func=plot_bins,\n", + " title=\"optimised bins (including systematic uncertainty)\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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3tmfPHqnLkcz58+cxduxYPPbYY/ocBAQE4PHHH8fPP/8MIYTZ60pNTcWHH36IYcOGoXHjxnB0dDT79b19+zamTJmCBg0aQKVSwdvbG82bN8cbb7xR6DJnzpzB0KFDUbNmTbi4uKBq1aqIjIzEqlWrzK65PDCHxduwYQOefPJJ+Pn5wdXVFYGBgejbty+OHTsmdWmSuHHjBiZOnIg2bdrA398fLi4uqF69Ojp06IAVK1YgNze33Nd19+5dTJ8+HU2aNEGlSpXg6+uLFi1a4MMPP0RaWprR/N9++y369euHevXqwdPTE+7u7mjUqBFeeOEFXL58udSvhaUwh4XTarVYs2YNOnToAH9/f7i5uSE4OBjPP/88Ll68KHV5krFkDgEgLS0Nb775Jho2bAhXV1d4e3vjySefxO+//25y/qioKMyePRt9+/ZFYGCg/jtKSf5eDxw4AKVSCYVCgbfeeqtE9T7KsUxLy9Thw4eRnZ2NLl266Kf9/vvv6NixIxwdLfOSvPfee3jjjTdQo0YNi6zPGj799FO8//77qF27Njp37gx/f3/Exsbi559/xp49ezBlyhR89NFHVqunf//+aNu2LapVq2a1bRZm1qxZ+PHHH9G4cWP06NEDPj4+uHz5Mn799Vf8+uuv+OSTT/DKK6+UaJ1NmzZFv379jKY3adLEaNozzzyDe/fuITw8HMOGDYOjoyOOHj2Kb775Bj/88AN2796Ndu3a6ef38vLC7NmzTW73xo0b+Pbbb+Hr64vWrVuXqGZLYg7Nc+bMGcybNw8eHh5IT0+3+vYnTZqEwYMHIzAw0OrbftTp06exadMmtG3bFuHh4VCr1bh9+za2bNmCZ555BiNGjDC7gRgTE4Pp06cDAGrWrAk/Pz/cuXOn2OUOHz6MXr16ISMjAz169ED//v2RmZmJ6Oho/PDDD1i4cKHRMkuXLsWrr74Kb29v9OzZEzVq1EBycjIuXLiA7du347nnnivZC2FBzGHh8vLyMHLkSKxduxb169fHoEGD9H9zR48exenTp9G2bVur1GJLn4dXr17FmjVr0KZNG/Tr1w8+Pj5ISkrCjh07MHr0aKxevRq//fabWX8/pVlXTEwM2rRpg7t376JTp07o3r07srKy8Ntvv2H69On4/vvvcezYMahUKv0y33//PRISEvRf/h0cHHDx4kWsWLECq1atwqZNm9C9e/dyeb3MwRwWbujQofjpp59Qs2ZNPP3006hUqRLOnz+PlStXYu3atdixY4fB61ae7DWHKSkpiIiIwN9//42QkBCMHz8e6enp2Lx5Mx5//HEsX74cY8aMMVhm165dmDdvHpRKJerXrw9XV1dkZWWZXX9aWhpGjhwJNzc3y3y3ERXQjBkzhFKpFBqNRgghxPXr1wUA8X//938m51+xYoUAIFasWGHFKq1v48aNYt++fUbT//77b+Hp6SkAiFOnTklQmfRWrFghzpw5YzR93759wsnJSTg7O4tbt26ZtS7d39vIkSPN3v7ChQtFfHy80fQFCxYIAKJJkyZmr+uNN94QAMSUKVPMXqY8MIfFy8zMFI0bNxbh4eFixIgRAoDYvXu31GVJJisry+R0jUYjGjVqJACI48ePm7Wu5ORksWfPHpGUlCSEEGLkyJHFvr4JCQnC19dXBAUFicuXLxs9n5OTYzRt165dQqFQiCeeeELcv3/frGWsiTks3MyZMwUA8eabbwqtVmv0vNS/O6lkZ2cX+np06tRJABA//vhjua1r4sSJAoCYM2eOwfS8vDzRpUsXAUCsXLnS4LnMzEyT2//tt98EANGoUSOz6i0vzKFpJ06cEABESEiIePDggcFz3377rQAgOnfuLFF10rJkDl955RUBQDz99NMiNzdXP/3OnTsiICBAqFQqcePGDYNlLl26JI4dOyYyMjKEEEIEBQUJAAbLF+X5558X3t7e+u+xb775plnLFaZCdDlOS0tDdHS0/vHbb7+hUaNGuHv3LqKjo/HTTz8BAGrXrq2fJzMz0+S6tm3bhvDwcLi7u8Pb2xsDBgzAP//8YzSfqbEKum6go0aNQkxMDAYPHqzvwtSyZUts3brVaD05OTlYsmQJmjdvDm9vb7i5uaFWrVro27evxbsePv3004iMjDSa3qhRIwwaNAgALDKO7tq1axg3bhzq1asHlUoFHx8fhIaGYvz48UhKStLPV9RYhV27dqF9+/Zwd3eHj48P+vXrh0uXLpXbGJFRo0bhscceM5oeGRmJTp06IScnB0eOHLHoNh/2+uuvo3r16ianq1QqXLhwweC1K0xubq7+9Rw3bpylyywSc1hyM2bMwPXr1/Hdd9/BwcGyb9fnzp3DkCFD9MMLKleujObNm2Py5MkGXZWKGkO7Zs0aNG/eHCqVClWqVMGIESNw69YtdOrUCQqFwqL1AoCLi4vJ6Z6ennjyyScBwOTfgSne3t7o2rUrfHx8zN7+u+++i6SkJHzxxRcIDg42et7Jyclo2muvvQaVSoW1a9eiUqVKZi1TnphD89y+fRuLFi1C27ZtMX/+fJP5s8TvTo6fh87OzoW+HrpeR+bmsDTrunbtGgCgT58+BtOVSiV69uwJALh3757Bc66uria3361bN3h5eZkculOemEPz6H7XXbt2hZubm8Fzffv2BWD8uy7tdipyDn/55RcAwLx58wzO6FapUgVTp05FZmYmvv32W4NlGjRogDZt2hj0hDDX5s2bsWLFCixZssTkd9vSqBBdjjdu3Ijnn3/eaHr9+vUNfn766af1/9+7dy86depk8PzPP/+MHTt2oH///ujUqRPOnj2LjRs3Yu/evThy5AgaNGhgVj2xsbFo3bo16tSpgxEjRiA5ORk//vij/s2gc+fO+nlHjRqFdevWoUmTJnjuueegUqlw69YtHDp0CDt37sTjjz9eglei9HQf3GXt+pKQkIBWrVrh/v376NGjB5555hlkZWXh+vXrWL16NSZNmgRfX98i1/HDDz9g6NChcHV1xcCBA1GtWjUcOXIE7dq1Q9OmTctUX2mU9rW5desWvvzySyQlJcHX1xft2rVDWFhYidahUCj021UqlcXO/+uvv+L27dvo2LEjGjZsWKJtlRVzWDJ//PEHPvnkE3z88cdGr1FZnTt3Dm3atIFCoUCfPn1Qu3Zt3L9/H9HR0fjss88wf/78Yr+sf/DBB3j99dfh7e2NkSNHQq1WY/fu3Wjfvj3UarVF6y1ORkYG/vjjDwBAaGhouW1n3bp1+nFFf//9N37//XdkZGSgbt26eOqpp+Dh4WEw/4ULF3Du3Dl9d7C9e/fi9OnTUCgUaNasGTp37mzxAxXFYQ7Ns2HDBuTk5GDw4MHIzMzEtm3bEB0djUqVKiEiIsIinzX29nmo1Wqxfft2ACjxZ1lJ1hUSEoKdO3di27ZtBgea8/PzsWPHDjg4OJjdBfXQoUNITU1F8+bNy1RvSTGH5gkJCQFQ8HmYmZlp0HjSNbbLuj3msOAAHgDUqVPH6DndtN9//x1vv/12meu7e/cuXnjhBfTr1w/Dhw+32AW2KkSDtnPnzli/fj0A4MiRI/j4448xb948NGrUCAAwcuRItGnTBhMnTtQvowvRw7Zs2YItW7agV69e+mmffPIJJk+ejIkTJxY6cPpR+/btw5w5cwzGOA4dOhRPPfUUPvzwQ/0bh0ajwQ8//IAWLVrg+PHjRg2WR8/IfffddyU6AlSrVi2MGjWq2Pnu37+PjRs3QqFQ4IknnjB7/aZs2LABycnJWLx4MV599VWD5x48eFDsl7u0tDRMmDABTk5OOHr0qMEbxRtvvIH333/f5HKLFy9Gamqq2XU2a9bM5PjWR8XGxuL333+Hm5sbOnbsaPb6AWD37t3YvXu3wbROnTph5cqVZo9XXL9+PdLS0tC2bVt4eXkVO/9XX30FAHjxxRdLVKslMIemmcqhRqPBqFGj0KFDhxKPzTbHypUrkZWVhU2bNumPcuukpKQYHQl/1LVr1/Dmm2/Cz88PZ86cQUBAAABg4cKFGDp0KH744QeTy82ZM6dEdXbq1MnoCxwAREdH4/vvv4dWq8WdO3ewbds23Lp1CzNmzCjzF+nCXL9+HYmJiWjVqhWmTJmCTz75xOB5X19frFq1Cj169NBPO3nyJICCo9ydOnXCgQMHDJYJDQ3Fzz//jHr16pVLzaYwh6Y9mkPd7y4jIwMNGzZEXFycwfzPPPMMVq1aVWxWiiL3z8PExEQsXboUQgjcu3cPu3fvRnR0NIYOHYrevXubvf6Srmv69OnYunUrZs2ahb1796J58+bIycnBb7/9htu3b2P58uUme1QBBa/5hQsXkJmZiStXrmD79u3w8fHB0qVLS1RvWTGHpj2awyZNmmDKlCn4+OOP0bBhQ/Tq1QuVKlXCxYsXsXPnTgwePBjz5883e/2mMIeAn58fEhIScP36dTRu3NjgOd1ZcktdPO2FF15Afn4+vvjiC4usT69MHZZlaOrUqcLJyUmkp6cLIYS4fPmyACA+++yzQpfRjVXo0qWL0XN5eXmibt26AoCIiYnRT9eNx7p+/bp+mm5MRFBQkMjLyzNaV2BgoPD19dX/rNFoBAARHh4u8vPzi923yMhIAcDsR2RkZLHrzM/PF88++6wAICZOnFjs/MVZsmSJACC+/PLLYuc1NUZk9erVAoB4/vnnjeZPS0sTXl5eRq+7EP/17Tf3Yc741qysLNG+fXsBQHzwwQfFzq9z584dMWvWLHH69GmRkpIiUlJSxP79+0Xnzp0FAFGvXj3932dRrl27JipXriwcHR3FkSNHip3/+vXrQqFQCF9f30LHIloLc1h0DkeMGCHc3d3F1atXjfbFEmNop06dKgCIXbt2FTvv7NmzBQCxd+9e/bR33nlHABBz5841mj8mJkYolUph6uOlJK8LADF79myTNe3YscNgPmdnZ/Hhhx+a9fspTHGv77FjxwQAoVQqhUqlEkuXLhV3794Vt27dEh988IFwdHQUrq6u4u+//9Yvs3DhQv0ygYGBYtu2bUKj0YgrV66I4cOHCwAiODhYZGdnl7rusmAOC8/hU089pf/ddezYUZw5c0akp6eLY8eOiZYtW5r9OVEUuX8eRkVFGcynUCjEtGnTSjW2uKTrSklJEf379zdaZty4cSIuLq7Q7QwaNMhgmfr164uTJ0+WuF5LYg6L/176xRdfCJVKZTBvixYtxI4dO4qtoTjMoRBjx44VAMSAAQMM/g7u3r0rAgMD9Z+zRTFnDO0333wjAMOxvbrXtKxjaCtcg7ZZs2YiPDxc//NXX30lAIiLFy8WuozuxTb15U2I/94kfvnlF6Nppt44+vbta3I97du3Fw4ODgbTevfuLQCIsLAwMXfuXPHHH38YDYwvT1OmTBEARIcOHSzSCIqJiREeHh7C0dFRPP300+LLL78UFy5cMPnGaOqNQ/dF/JtvvjG5ft1A+EffOCwtLy9P39AfNGhQmb5I6+Tm5oo2bdoIAGLx4sVFznvnzh3RoEEDAUAsW7bMrPXrLnAyderUMtdaVsxh4TZs2GDy92rJBu3x48f1DbMRI0aIlStXiujoaJPzmmrQPv300wKA+P33300uU6tWLQGU/8dLTk6OiI6OFnPnzhVOTk6iV69epW4cFvf6HjlyRP+F4b333jN6XvfeNG7cOP20d999V7/Mowed8vPz9Q2jtWvXlqrmsmIOC/fEE08IAKJy5cr6C/Xo3Lp1S3h4eAgHBwdx8+bNUm/Dnj4PY2NjxeLFi4Wnp6do27at/mJr5bGu69evi9DQUFGvXj2xfft2odFoREJCgvjiiy+Eu7u7qFq1qrh27VqR29FoNOLw4cPiiSeeEM7OzpJeXIk5LFx+fr54+eWXhVKpFO+99564ceOGSEtLEwcPHtS/fy5durRM22AOC97TAgICBFBwkdFXX31VjB07VlSuXFk0a9ZMABCurq5FrqO4Bu3169dFpUqVxLPPPmsw3VINWrvvcrxv3z79xUzy8/Px119/oWXLlvqub9u3b4dSqdQPwAcK7xZXtWpVk9P9/f0BFHTFMEdhXUMdHR2Rn59vMO3HH3/E+++/j7Vr1+q7gri6umLAgAFYtGhRoTVZwvTp0/Hxxx+jY8eO2LZtW6EXZCmJoKAgnDhxAnPmzMHOnTv197cNCAjAtGnTiu1eqXuNC9vv8nw9dLRaLYYPH47169dj4MCB+P777y1yARxHR0eMHTsWx48fx4EDB4y6vujcvXsXXbp0weXLl/HJJ58YdEkqTF5eHlasWAHA+heDAphDcyUnJ2P8+PHo2rUrJkyYYJF1mtK6dWscPHgQCxYswIYNG7B69WoABRd5mD17NoYMGVLk8ubk0NIXwDDFyckJdevWxdtvvw1nZ2fMmDEDS5YswbRp0yy+rYf/Xvr372/0fP/+/fHRRx/hxIkTRsv4+/sb3FYLKBj/3rdvX5w6dQonTpwo9jW3BObQfLq6unbtCk9PT4PnqlWrhjZt2uD333/HqVOnSn0bFHv4PAQKrt8QGBiIV199FVWrVsWQIUPw9ttvl6obrznrGjVqFM6fP4+//vpLP8TA09MTL774IrKysjB58mTMnTu3yLF5np6eCA8Px5YtW9CyZUtMmDABjz/+OGrWrFnimkuKOTTfypUr8emnn2LKlCkG9/mOiIjAli1bUKdOHbzxxhsYOXKk0TUMzMUcFrynnTx5Eu+88w62bt2Kzz77DH5+fhg0aBBeffVV1K9fH1WqVClTfaNHj4ZKpcJnn31WpvUUpkI0aOfOnWsw7eTJk/rxMToPz1PYG0dh9yjUDaYujwuhqFQqzJkzB3PmzMGNGzdw4MABfPfdd/j+++8RExODgwcP6ue15BjaKVOmYPHixejcuTO2bt1apnFCj2rUqBF+/PFH5OXl4a+//sKePXvw6aef4tVXX4W7u7vRva4epvtiUdjvorDplhqrkJubi2HDhmH9+vUYOnQoVq1aZdbFmMxVuXJlAAXjNkxJSEhA165dcenSJSxbtsysxixQMM4mISEBkZGRZl8kwpKYw8I9nMO4uDgkJibi999/L3TcTrdu3QAAH3/8MSZPnlzaXUK7du2wdetWZGdn4/Tp09i5cyc+/fRTDB06FJUrVy7yQhsP59DUuK7CfkeWGkNrSvfu3TFjxgzs27evXBq0devWhaOjI/Ly8kx++fP29gYAgyuR6rJW2JdFU8uUJ+awcI9+Hlrrdyfnz0NTdPdytcQdEUytKy0tDfv374ePj4/J8fK6sZ6nT582axvOzs7o2rUrzp8/j2PHjmHAgAFlrrs4zGHhHs2h7sJPD1+USsff3x8NGzbEn3/+icuXL6NFixal3ifmsKDhvXTpUqMGsO6Ci61atTJ7XaacOXMGGo1G/z33UQsWLMCCBQvQt29fbNq0qeQbKNP5XZn53//+J1xcXPT3I9P1O//888+LXM7SYxUK6wevG2tQHK1WK+rVqycAiMTERKPlzX2YGquQn5+vv8dbt27d9PeXKm8HDhwQAESvXr3000x17Vi1apVkYxWys7NF3759BQDx3HPPmbz/V1np7hE7YcIEo+du3Lgh6tevLxQKhVljPR6mGw+2Zs0aS5Vaasxh4TmMi4sTY8aMMfmoX7++ACC6d+8uxowZUy73o9Xla9KkSfppprocz5s3r9DubtYYQ2vKtm3biuw6VxxzunTrxrnv2bPH6LkffvhBABBPPfWUftqDBw+Eu7u7cHV1NTkufvz48QKAWLhwYalqLgvmsOjPw/379wsAIiIiwuR2dfc9PnbsWLE1lpQcPg8Lc/HiRQFANG3atIR7bd66EhMTBQDh6OhocnjBnj17BADRvHlzs7ejGz70cPdca2EOi85hr169BFB4d96aNWsKAOLcuXPF1lhSzGEB3d/Nxo0bi5yvuC7HL7/8ssnvNh07dhQARLNmzcSYMWNK3YW8QjVomzdvbhCWzz//XAAQUVFRRS6n+wMGILZs2WLw3OLFiwVgfGNnS7xx3L1712RI79+/L/z9/YWjo6O4f/9+kbWXRH5+vn5gePfu3Qu9EfmjdK+NOU6dOiVSU1ONpq9fv14AEAMHDtRPM/XGodFohFqtFs7OzuLs2bMG63j99df1tVh6rEJWVpbo0aOHACDGjBljVmM2NTVVREVFiVu3bhlMP336tMnl9+zZI1xcXAQAcfjwYYPnYmJiRO3atYWDg0OJx/rExMQIBwcHm7gYlBDMYWkV1eB6+MIe5jh8+LDJg1UffvihACCmT5+un2aqQRsdHS0cHR2Fn5+fwQVY8vPzxZAhQ0r0nlAShV285e7duyI0NFQAEF999ZXBc/fu3RNRUVHi3r17Ra7bnAbtzz//LICCC6I83EBNSUkRISEhAoBYuXKlwTK6G9ZPnjzZYEzWuXPnhKurq3B0dCx0/HJ5Yg6Llp+frx879vPPPxs8pxvjWK9ePaML6VSEz8PTp0+bvIBQWlqaePzxxwUAMXPmTIPnivo8LOm6dAcT3nrrLYPpmZmZ+vGKr732mn56YmKiwQX2HrZlyxbh6OgoPDw8RHJyctE7Xg6Yw6K9//77AoAICQkxyorutfL392cOH1KaHGq1WpGWlma0rlWrVgmFQiHCw8OL/d5rzkWhTOEY2hJKTU3F2bNnMWvWLP20ffv26bssmKN3797o378/+vfvj3r16uHs2bPYsWMHfHx8yqVPeHx8PB577DGEhoYiLCwMAQEBuH//PrZu3Yrbt2/jlVdeQaVKlSy2vXnz5mH58uVQqVRo1qwZFi5caDTPo10edGMrzO12u3r1anz55ZeIiIhA3bp14e3tjatXr2LLli1wcXEptgulp6cnli1bhhEjRiA8PNzgfl9//fUXIiMjsX//fovf23H8+PHYvn07/Pz8UKNGDcybN89onke7R/7yyy94/vnnMXLkSIOxPFOnTsU///yD8PBw/Xidc+fO6bt1vPPOOwgPDzdad0xMDFq0aIGYmBiT3Y9GjRqFWrVqGU1fvnw58vPzMXLkSIuMgy4L5rB86HJo7r2QP/jgA/zxxx/o0KEDateuDQ8PD1y8eBE7duyAt7d3seOs69ati3nz5mHmzJlo2rQpBg0apL8PbXJyMpo2bYpz586Veb8eNXbsWCQlJaF169YIDAyEUqlETEwMtm/fjszMTPTr1w+jR482WGbp0qWYO3cuZs+ebZSbadOmITExEUDB/SgB4MMPP8T3338PAOjXr5/B+13//v3x/PPPY8WKFQgNDUX37t2h1WqxdetWxMfH45lnnsHw4cMNtvHOO+/gwIEDWLx4MY4ePYr27dvjzp07+Pnnn5GVlYXFixejbt26Fn6lisYcFk+hUGDlypWIjIzEM888g969eyM4OFifE3d3d6xcudLgs6+ifB7OmzcPhw8fRnh4OAIDA+Hm5oYbN25gx44dSE1NRXh4OGbMmGGwTGGfh6VZ15IlS9CzZ0/Mnz8fu3fvRnh4ODIzM7Fjxw7ExsaiXr16eP311/Xz37hxAy1atEDLli3RoEED1KhRQ5+BY8eOwcnJCcuXL9d3I7cW5rB4EydOxJo1a3Du3DkEBwejT58+8PLywpkzZ/DHH39AqVRi2bJlzGEZc5iRkYGqVauiW7duqFu3LhwcHHD48GEcPXoUjRo1wvr1643qT0xMNBjeo/ssHTNmjP66Mm+88YbZf8tlVqbmsIxs2rTJ6CyDv7+/GDRoULHLPnxEZsuWLaJt27bCzc1NqNVq8fTTT4vLly8bLWOJI2EpKSli7ty5onPnzqJ69erC2dlZ+Pv7i8jISLF27VqLXFnXVM1FPR6t/ezZswKAGDZsmFnbOHbsmBg/frwICwsT3t7ewtXVVdStW1eMGjVKnD9/3mBeU0fCdLZv3y7atWsnVCqV8PLyEn369BFRUVGiZ8+eAoBISUkp5atgmjndZh7tHqmr/9HXbPny5aJnz54iKChIuLu7C2dnZxEQECAGDhwoDhw4YHL7xW370b9tnby8PFG9enUBQFy6dMlCr0bpMYelV9QZRN3rau4Rzl27dolRo0aJRo0aCU9PT+Hm5iaCg4PFyy+/bNBFTQjTZ2h1Vq1aJZo1ayZcXFyEn5+fGDZsmIiPjxchISFCrVaXZjeLtHr1avHMM8+I2rVrC3d3d+Hk5CSqVasmevbsKX744QeTvwtd/aa6LxfX5cvUMvn5+eLrr78WLVu2FG5ubkKlUokWLVqIpUuXFnoEOy0tTcycOVPUr19fODs7C7VaLbp162bWbZPKA3NovmvXromRI0eKatWqCUdHR+Hv7y+GDRtm8v20onwebt26VQwbNkzUr19feHp6CkdHR1G5cmXRtWtX8eWXX5o8Q1PY52Fp1iWEEH/99ZcYPny4CAgIEE5OTsLV1VU0btxYzJgxw2h/k5OTxZtvvikiIiKEv7+/cHJyEm5ubqJhw4bixRdfNLjVljUxh+ZJS0sTc+fOFU2bNhVubm7C0dFRVKtWTTz77LPi+PHjRvMzhyXPYU5Ojhg9erQIDg4Wbm5uws3NTTRt2lQsWLCg0CtY6/52Svq9tLCaynqGViGEEKVpCBMBBUdKJ0+ejPPnz5u8OIw1abVa1KlTBzk5OUhISJC0FiJrmjp1Kr788kvExsbCz89P0lru37+PqlWrolmzZjh69KiktRBZEz8PiaTHHFZMlj3/TRXO/v370adPH6u+aaSmpiIjI8NgmhAC8+fPR1xcnMlbahDZs/379+OFF16wamP23r17yM3NNZiWl5eH//3vf8jKymIOqcLh5yGR9JjDiolnaEl2du7ciUGDBuGJJ55ArVq1kJ6ejmPHjuHs2bMICAjAqVOnyny/LCIq2hdffIG3334bjz/+OAICApCcnIwDBw7gypUraNasGY4cOQKVSiV1mUR2jZ+HRNJjDqXHBi3JzvXr1/HWW2/h8OHDuHfvHvLy8lCzZk306tULM2fOtNpNrIkqsj///BPvvPMOTpw4gaSkJABA7dq18fTTT+P111+X/EJZRBUBPw+JpMccSo8NWiIiIiIiIpIljqElIiIiIiIiWWKDloiIiIiIiGSJDVoiIiIiIiKSJTZoiYiIiIiISJYcpS6gvKSmpmL//v0ICAiAi4uL1OUQ2azs7GzcuHEDkZGR8PLysui6mUMi85RnDgFmkcgczCGR9EqVQ2GnNm3aJADwwQcfZj42bdrEHPLBh8SP8sghs8gHHyV7MId88CH9oyQ5tNsztAEBAQCATZs2oV69ehJXQ2S7oqOj0a9fP31mLIk5JDJPeeYQYBaJzMEcEkmvNDm02watritHvXr1EBISInE1RLavPLo/MYdEJVNe3RCZRSLzMYdE0itJDnlRKCIiIiIiIpIluz1DWxaardug1aQaTVf37Amllxe0qanQbNtmclmfYcMAADmxsUg/dMjoeaXaC+pePQEAmefOIfP8eaN5nAMD4dGhAwAg/eBB5MTFGc2jCg2FKizMoN6H123rUlJSoNFokJ+fL3UpFYaDgwPUajW8vb2lLoVsBHNofcwhPYo5tD7mkB7FHFqfJXPIBq0JWk0qtMkpUPrI541Oq9FIXYLZUlJScPv2bTg4OMDR0REKhULqkuyeEALZ2dm4ffs2APBDnJhDCTCH9Cjm0PqYQ3oUc2h9ls4hG7Qm6M6yFkbp5VXsPM5BQfAJCipyHlVYmP4sa2F0Z2qLou7VE8lr1hQ7n63QaDRwcHBA3bp14ejIP0FrycvLw9WrV6HRaPgBTsyhRJhDehhzKA3mkB7GHErDkjnkGFqyuvz8fDg6OvJNw8p0rzm70xDAHEqFOaSHMYfSYA7pYcyhNCyZQzZoTciJjUVObKzUZdg1dueQBl93ehj/HqTB150exr8HafB1p4fx70EalnrdeSjChPTFY4CMJPiEOUtditk8UvMBdU0ARXeFtklrBwMp1y27Tu/awNAfSrTI2LFjMXXqVDRu3NiipXh4eCA9Pd2i6ySyOOaQSHrMIZH0bCSHALNoLjZoTclIAh4kAqgudSVmc86PARQyPeGech1Ivgb41LHM+pKvlWqx5cuXW2b7RHLEHBJJjzkkkp6N5BBgFs3FBm1h3P2Al45LXYX5lrWRuoKy8aljudfbjNfiwYMHGDhwIG7evAmtVotZs2bh888/x6JFi9CyZUt88803eP/99+Hl5YWmTZvCxcUFS5cuxahRo+Dp6YlTp07h9u3b+OCDDzBgwACkp6ejb9++SElJQW5uLubPn4++fftaZn+IrIU5JJIec0gkPSvnEGAWy4INWjuRfC4HAOAjcR1ysXPnTlSvXh3b/r2fsEajweeffw4AuHXrFt555x2cOXMGlSpVQpcuXdC0aVP9sgkJCTh06BAuXbqEPn36YMCAAXB1dcUvv/wCT09PJCYmom3btujTpw/HZBAVgTkkkh5zSGQbmMXSk2kfVaKyCQ0Nxe7du/H666/j4MGDUKvV+udOnDiByMhI+Pj4wMnJCc8++6zBsv369YODgwMaN26MO3fuACi4n9bMmTMRFhaGxx9/HPHx8frniMg05pBIeswhkW1gFkuPZ2hNULra35ELMhQcHIwzZ85g+/bteOutt9C1a1ezl3VxcdH/XwgBAFizZg3u3buH06dPw8nJCbVq1UJWVpbF6yayJ8whkfSYQyLbwCyWHs/QmqAOdoI62EnqMqgc3bp1C25ubhg+fDhee+01nDlzRv9cq1atsH//fqSkpCAvLw8bN24sdn0ajQZVqlSBk5MT9u7di1je9omoWMwhkfSYQyLbwCyWHs/Qkm1Ivma5C1uZcWW68+fP47XXXoODgwOcnJzw+eefY9q0aQCAGjVqYObMmWjdujV8fHzQsGFDg24fpgwbNgy9e/dGaGgoWrZsiYYNG1pmX4isiTkkkh5zSCQ9K+cQYBbLgg1aEzJvawEAKonrqDC8a1t2fT51il3nk08+iSeffNJg2r59+/T/Hzp0KMaNG4e8vDz0798f/fr1AwB89913Bsvo7uHl5+eHo0ePmtyWPd3ni+wYc0gkPeaQSHoS5BBgFsuCDVoTMu/Kr0Er6y7SpbjRdHmbM2cO9uzZg6ysLDzxxBP6Nw0iu8UcEkmPOSSSng3mEGAWi8IGrZ3ghawsa9GiRVKXQFThMYdE0mMOiWwDs1g4NmjthDar4IpmSonrICoPmq3boNWkGk33iIiAc1AQACB5zRqTy6p79oTSywva1FRo/r2326N8hg0DAOTExiL90CGj55VqL6h79QQAZJ47h8zz543mcQ4MhEeHDmbtDxERERFZBhu0dkJzJRcA4CNxHUTl4sgSaG/ehlL1yIXZYxYDXv9OO5djetnbnwCuCiBLAP/mxEjqkn//zQfi8oyfd1UAsfP+XZ8W+HdYggG1A3Cjvs12VSIiIiKyR2zQEpHNU9dIBVS3irxKoE+Yc5HrULoqip3H2csBPl5Fz6PyV0Llb6IvRPI1IIVvqURERETWxG9fJjireXteIpvjUwd46bjUVRQqfXoLIC0PHlIXQkRERFSBsEFrgkcQXxZrGrvyJGKTMiy6ziBfNywf2arQ52NiYtCrVy9cuHCh1NvYt28fFi1ahK1bt5Z6HeWlVq1aOHXqFPz8/KQuxSLkcCutHE2+1CWUiRQ5BJhFoocxh+WDOaSSYA7LR3nmkC03klxsUgZikzIQ5OtmsfXZOiEEhBBwcGBvAHPI8VZaclMRcwgwi2RbmEPmkKTHHMovh2zQmpAeW3BRGHYdtJ4gXzfsnhppkXV1+2i/WfPl5eVh2LBhOHPmDEJCQrBq1SosWrQIW7ZsQWZmJsLDw/Hll19CoVAgOjoa48ePx71796BUKrF+/XqDdZ08eRLjxo3Dhg0b4OnpiaFDh+LWrVto164ddu/ejdOnTyM9PR1PPvkk2rRpg9OnT2P79u1YunQpduzYAYVCgbfeeguDBg0yOro2adIktGzZEqNGjUKtWrUwcuRIbNmyBbm5uVi/fj0aNmyIpKQkDBkyBPHx8WjXrh2EEBZ5LalikSKHALNI9DDmkDkk6TGH8sqh/JrgVpCjyZdd90GfMOdiL3hDhi5fvoyJEyciKioKnp6e+OyzzzBp0iScPHkSFy5cQGZmpj64w4YNw0svvYS//voLR44cQbVq1fTrOXLkCMaPH4/Nmzejbt26mDt3Lrp06YKLFy9iwIABiIuL08/7zz//YOLEibh48SJOnTqFs2fP4q+//sKePXvw2muvISEhodi6/fz8cObMGUyYMEF/T7K5c+ciIiICFy9eRP/+/Q22SWTrmEUi6TGHRNJjDkuHDVqqsAICAtC+fXsAwPDhw3Ho0CHs3bsXbdq0QWhoKP744w9cvHgRaWlpiI+PR//+/QEArq6ucHMr6IYSFRWFcePGYcuWLQgMDAQAHDp0CIMHDwYAPPXUU/D29tZvMygoCG3bttXPN2TIECiVSlStWhWRkZE4efJksXU//fTTAIAWLVogJiYGAHDgwAEMHz4cANCzZ0+DbRLZOmaRSHrMIZH0mMPSYYPWTuSk5iMnVV5nlaWmUCiMfp44cSI2bNiA8+fP44UXXkBWVlaR66hWrRpcXV3x559/mrVNd3f3YudxdHREfv5/v8tHa3BxcQEAKJVK5OWZuGcqSUJVRQlVFRO386FiMYtE0mMOiaTHHJYOG7R2Ij0uD+lxfCMvibi4OBw9ehQAsHbtWkRERAAo6DaRnp6ODRs2AAAqVaqEmjVrYtOmTQCA7OxsZGQUDPD38vLCtm3bMGPGDOzbtw8A0L59e/z0008AgN9++w0pKSkmt9+hQwf8+OOP0Gq1uHfvHg4cOIDWrVsjKCgIf//9N7Kzs5Gamorff/+92H3p2LEj1q5dCwDYsWNHoduUK2e1g83fTqvQ+9NSsZhFIukxh0TSYw5LhxeFIpsQm5RRokHzxa3LnCvTNWjQAMuWLcPo0aPRuHFjTJgwASkpKWjSpAn8/f3RqtV/l1dfvXo1XnzxRbz99ttwcnIyGHhftWpVbN26Fd27d8e3336L2bNnY8iQIVi9ejXatWsHf39/VKpUCenp6Qbb79+/P44ePYqmTZtCoVDggw8+gL+/PwBg4MCBaNKkCWrXro3HHnus2H3RbTMkJATh4eH6Lib2grfSsg4pcggwi0QPYw6ZQ5IecyivHCqEnV767eLFi2jSpAkuXLiAkJCQEi2bOaslAED1zqnyKK1cJL9Y8Ifl86V53QukdO3aNQBAnTp1AEh3v6/ykp2dDaVSCUdHRxw9ehQTJkzA2bNnJanlUY++9kDZslIci617WZuCf186bpnCyoHm1eYAAPUnZySuxDz2nkPAdrNo7RxaY/1UOsyhdJhD0mEOpWOpHJbqtMfJkyexcuVK7N27FzExMfD19UXbtm0xf/58BAcHG8wbFRWFKVOm4NChQ3B2dkbPnj3x0UcfoXLlygbz5efnY9GiRfj888+RkJCA4OBgzJgxA0OGDClNiWXCboPWJWXAy0NcXBwGDhyI/Px8ODs74+uvv5a6JNmTw620tFnyPjZobzkEmMVysXYwkHJdmm171waG/iDNtq2EOSSSHnMoP6Vq0L7//vs4fPgwnn32WYSFheH27dtYunQpmjdvjmPHjqFJkyYAgJs3b6Jjx45Qq9V49913kZ6ejkWLFuH8+fM4ceIEnJ3/u83Mm2++iYULF+KFF15Aq1atsHnzZgwdOhQKhUJ/VS4iOahfv77ZA/HJPHK7jRbZBmaxHKRcB5KvAT51ip/XkpKvWXd7ZDHMIZH07D2HpWrQTp06FWvXrjVokA4aNAihoaFYuHAhvv/+ewDAu+++iwcPHuD06dP6ftOtW7dGt27d8N1332HcuHEAgPj4ePzf//0fXnrpJSxduhQAMHbsWERGRuK1117Ds88+C6XSemdNNVdyAQBqq22x7JSuiuJnIiIiKiufOtbv/q8bdkBERPSIUl02NDw83KAxCxS0/ENCQhAVFaWftnHjRvTq1ctgEPDjjz+O4OBg/ZW2AGDz5s3Izc3FxIkT9dMUCgUmTJiAmzdv6q/2ZS3aLCG77oPqYCeog52kLoOIiIiIiMhqLHbpUCEE7ty5ox+8Gx8fj7t376Jly5ZG87Zu3Rrbt2/X//znn3/C3d0djRo1MppP97zustVEREQkDc2V3IIDvmvWAACcAwPh0aEDACD94EHkxMUZLaMKDYUqLKxg+a3boNWkGs3jEREB56AgAEDyv+s2cC4HSleFrHpOERGRdVisQbtmzRrEx8dj3rx5AICEhAQABTf3fVS1atWQnJyM7OxsuLi4ICEhAVWrVjW6mbBu2Vu3bhW57bt37+LevXsG06Kjo0u9L3KUeVsLAFBJXAdVXBU9hx6BvLUQ2YbyzKKuB5O1L53o6K6Aew1mjOSjon8mElmTRT4dLl26hJdeegnt2rXDyJEjAQCZmZkAABcXF6P5XV1d9fO4uLjo/y1qvqJ89tlnmDt3bpn2Qe4y78q3Qbv92nZocjQAALWzGj3q9AAAnL93HheSLhjNH1ApABE1Cs7YH4o/hBtpN4zmeXg9psTExKBXr164cMF4/Tr79u3DokWLsHXr1hLtT0VVnjlUVbH9K487e5VqBIfNkCKHALNYHsr7M1HpqoDPsGFG03Vnaoui7tWz2HlMrRupS8yqTe6YQ/vB76byxRzKT5kbtLdv30bPnj2hVquxYcMG/cWbVKqCplV2drbRMllZWQbzqFQqs+YrzMSJE/Hss88aTIuOjka/fv1KtjMkCU2OBppsDdQululMlp2XjQDfAIusi8xXnjnkrbTKH3NoP8o1ixIdXNJd18Le3wmYQ/vB76byxRzKT5katBqNBt27d0dqaioOHjyI6tWr65/TdRfWdT1+WEJCAnx8fPRnZatVq4a9e/dCCGHQ7Vi37MPrNaVKlSqoUqVKWXbFALsOWp/aRY0hDQ3vORxaORShlUOLXE53RKw08vLyMGzYMJw5cwYhISFYtWoVDhw4gMmTJ8PNzc1g3HZycjJGjx6Na9euwc3NDV999RXCwsIQGhqKgwcPQq1Ww8/PDx9//DGee+45PPfccxgxYgTi4+Px66+/IiMjA1evXkX//v3xwQcflLpmW2bpHMpN8rkcAICPxHWUhRQ5BJhFSyvPLEp1cEl39wE558tczKF9qOifiXLHHMpLqVtuWVlZ6N27N65cuYI9e/agcePGBs/XqFEDlStXxqlTp4yWPXHiBJo1a6b/uVmzZli+fDmioqIM1nP8+HH989Y0MXcIYvO8gY/2W3W7ZdFBEwEfZQYmSV2IjFy+fBnffPMN2rdvj9GjR+Ojjz7Cl19+iT/++AP16tXDoEGD9PPOnj0bjz32GDZt2oQ//vgDzz33HM6ePYv27dvj8OHDCAoKQp06dXDw4EE899xzOHr0KD7//HOsX78eZ8+exZ9//gkXFxc0aNAAL7/8MgICeKSuJOR4Ky0yH7NIJD3mkEh6zGHplGrQl1arxaBBg3D06FGsX78e7dq1MznfM888g61bt+LGjf/6kv/++++4cuWKQTeMvn37wsnJCZ999pl+mhACX3zxBWrUqIHw8PDSlFlqsZ4tECv8rbrNskrOd0ey1k3qMkqlffX2aF+9vcXWt/3admy/tr3Y+QICAtC+fcF2hw8fjlOnTqF27dqoX78+FAoFhg8frp/30KFDGDFiBACgS5cuSEpKwv3799GhQwccOHAABw4cwIQJE3D+/HnEx8fD29sb7u7uAICuXbtCrVbD1dUVjRs3RmxsrMX2taKQ46205EaqHALMopxoruTqDzCR5TGHRNJjDuWnVGdo//e//+HXX39F7969kZycjO+//97ged2LPXPmTKxfvx6dO3fGq6++ivT0dHz44YcIDQ3F888/r5+/Zs2amDx5Mj788EPk5uaiVatW2LRpEw4ePIg1a9box+VaS4eL+9ABwNsLZlt1u2Xxytg9SISX1GWUSqBnYPEzlYBuIH9xHr2qtkZj3nIP69ixI5YtW4a4uDgsWLAAv/zyCzZs2IAOD10c5eELnimVSuTl5ZV4O0TlTaocAsyinPDAUvliDomkxxzKT6nO0J49exYAsGXLFowYMcLooRMQEID9+/ejbt26eOONN/DBBx+gR48e2L17t9FVjRcuXIh3330Xu3btwksvvYSYmBh8//33GDp0aOn3rgKJ8q+DKP86UpchK3FxcTh69CgAYO3atXj88ccRExODq1evAgDWrVunn7dDhw5Y8++9Efft2wc/Pz94enoiICAAiYmJ+Oeff1CnTh1ERERg0aJF6Nixo/V3iEimmEUi6TGHRNJjDkunVGdo9+3bZ/a8ISEh2LVrV7HzOTg4YMaMGZgxY0ZpSiIZW3dpHVKyUuDt6m30XI/aPaB2UUOTrcH266a7a+gG7cfdj8PhW4fNvjJdgwYNsGzZMowePRqNGzfGkiVL0KJFC/Ts2RNubm7o0KED0tLSAABz5szB6NGjERYWBjc3N6xcuVK/njZt2kCrLbhtUocOHTBjxgyDQftEciBVDgFmkUiHOSSSHnMoP7ycr51odPua1CWU2pCGQ7Du0rriZzST2kUNtXPRbxy1atXCpUuXjKY/9dRTJqf7+Phg06ZNJte1evVq/f/Dw8ORn5+v/3nUqFEYNWqU/mfeN8x+qYOdpC6hTKTIIcAsknl8wpylLsEqmEMi6TGH8sMGrZ3wS0+VuoQyefTS6I8ydfn0RwV6Blp83APZBjncSkvpqih+JhvHHBJJjzkkkh5zKC+2/y2RiCo8Z69SDfe3Kt3FcqS5SyeRdUh1cCknteDsQsU4T0tERCXBBq0Jp+u2kroEIpIZ3a1MfCSug6g8SXVwKT2u4AqczBcRET2KDVoTMlzdpS6BiB6y9EgTJGvdcDB7v9SlFKqDJgI+ygxMkroQIiIiogqEDVoT3LIeSF0CET0kWeuG5HzbPtBk6/URWULyuRwAPFNKRES2gw1aE1pcPfnv/3pIWkdJxPpUk7oEonLl4/AAu6dGSl1GoeYN3iB1CUREREQVDhu0diJOxg1azdZt0GpSAQBKtRfUvXoCADLPnUPm+fNG8zsHBsKjQwcAQPrBg8iJizOa5+H1mBITE4NevXrhwoULFtgDIvmTIocAs0j0MOaQSHrMofzY/qVDye5pNanQajQWW5/IyoZzYIDF1kdUETCHZMuUrgq7uDVWcZhDIukxh/LDM7R2onnc31KXUCZKtRo+w4YZTFOFhUEVFlbkcrojYqWRl5eHYcOG4cyZMwgJCcGqVavQuHFjnDp1Cn5+fjh16hSmTZuGffv2Yc6cObh69Sqio6ORmJiI6dOn44UXXij1tsn+HKzXXOoSykyKHALMIhVPHewkdQlWwxwSSY85lBeeobUT7jlZcM/JkroMWbl8+TImTpyIqKgoeHp64rPPPity/nPnzuGPP/7A0aNHMW/ePNy6dctKldLpwEY4HdhI6jKonDCLRNJjDomkxxyWDhu0JDmPiAh4RERYbH2ardug2bqt2PkCAgLQvn17AMDw4cNx6NChIufv27cvVCoV/Pz80LlzZ5w4ccIi9VLxMpxVyHBWSV1GkfzSU+CXniJ1GaUmVQ4BZlFO1MFOkpwtzbytReZtrdW3a23MIZH0mEP5YZdjEw6GdJK6hArFOSjIouvTDeQvjkKhMPrZ0dER+fn5AICsrKxi5yfrcMvJlLqEYjW6fV3qEspEqhwCzKKcvJg2GLF53sBH1r0ndId/2lWI+zwzh0TSYw7lh2doqcKKi4vD0aNHAQBr165FREQEatWqhdOnTwMANm7caDD/5s2bkZWVhaSkJOzbtw+tWrWyes0VVYu4KLSIi5K6DConzKJ83MtwRVKGq9W3m5zvjmStm9W3W5Ewh0TSYw5Lh2doTfDT3JW6hAolec0aaJNToPTxNnpO3bMnlF5e0KamQrPNdHcN3aD9nNhYpB86BK1GA6VaXex2GzRogGXLlmH06NFo3LgxJkyYgNatW2PMmDGYNWsWOnXqZDB/WFgYOnfujMTERMyaNQvVq1cv+c4S2Sipcggwi3LSIi4KLQC8/dGnVt1uRbnPM3NIJD3mUH7YoDWh0U35XTE4yr+21CWUms+wYUhes8Zi61Oq1VCqvYqcp1atWrh06ZLR9A4dOuDKlSsmlwkLC8OqVassUSKRzZEihwCzSPQw5pCK8vD9UYGSNa7IfMyh/LBBa0KOMg5CkY11l9ahffX2CPQMBACsu7TO5Pw9aveA2kUNTbYG269vNznPkIZDAABx9+Nw+NZho+fVzmr0qNMDAHD+3nlcSDK+qXJApQBE1CgYpH4o/hBupN3QPxdbIxYOWut3A7OU4t5wlV5exc7jHBQEHwuPeyCqSJhDIukxh1QY3f1RzT3bR6XHHMoLG7QmCEU2oMiRuowSEcos5EtdhB2bM2eO1CWQjXvgLN8DSnLCLFZMiR5eUpdAD2EOpWPq/qhFNa5yYmMBWP5CRyQ95vA/bNAWRjjrz6rqPPrzo9Qu6mLnCfQM1J/xLUxo5VCEVg4tch7dmVqdqPk7AcjnPrRCCKlLqJCEEBX2Cnjl7UxgY6lLKDHmUBrMYclF+deRuoRywxxKo6LkMP3f277wTGHRmENpWCqHbNDaCcc8T6lLMJuDgwOys7ORl5cHR0f+CVpLXl4e8vLy4OLiInUpJXawXnOpS7A7zKE05JxDsjzmUBpyzSHHw5YP5lAalswhf2smZLrIp3EoR2q1Grdv38bVq1fh6OhYIY6QSk0Igby8POTn50PNsTflIjA5QeoSSoQ5tD57yKFUB5ca3b4myXbLG3NoffaQQ7Is5tD6LJ1DNmhNOF9rkNQllFiOyx2pSzCbt3fBZdA1Go3+RtFUvhQKBVxcXKBWq/Wvv5z4padIXUKxgmTWoGUOrU/uOZSSX3qq1CWUC+bQ+uScQ46HLR/MofVZOods0NoJ4ZArdQkl4u3tLbsPEpJO3ZRjEA65iLs/wGavOp6tuglFvlPJd05CzCGVlBwOLskNc0jm4njY8sMcyhsbtCZUTzry7/8iJa2DiAoIh1zAIU/qMormkAdeUoLsXaPb16UugciuabZug3NgAFRhYfqfdfee1R5cDqVIBVKXmL0+5ZV/T3iUYBmTvGsDQ38o2zqIygkbtCbUTLwodQkldqJuNalLICpf+Y4GVwi3tauO78j/vyLnIZID3ZdnVWioyS/UbjlZyOAtqojKjVaTioyTd/T5e5hSpEKZdxdATbPXpw62QM+hZPscw072gw1aO/HARV5dHYke9fCX5ke/TLtn5/JvnMgKtJpUaDWaQp/PcHblPZeJypnC9b+rvqp79fzvidQlAGoCLx23bkHL2lh3e0QlxAatnXDPltcYWqJH6b5IK01c7e6Bi5PNN2jvebpJXQKRRSjVaoOzQw9/oT4YlSNFSYj1YS8kotLIPHcOAEye8SWyF2zQ2onwqGypSyAqM6VabXSfPXWvnth/4YBEFZnvsl+I1CUQ2a04NmiJSiXz/HkAbNCSfWOD1k4otTw7RPZLld5Q6hKK5ZzNL9xERERE1sYGrQnJlWpIXQJRheMcWPTFmWxdo9u8aAbJn63msHnc31KXQGQVtppBIlvGBq0J0dV7SF1CiWWrbkpdAlGZeHToUOhzOS4JVqykdDxzL0tdAlGZFZXDR22/th2aHOMLSLWv3t7i94t2VEbL7j7PRKVRkgyaS6vRIP3gQf260w8eRE5cnNF8hV3dHOdyoHRVwPgKF0S2gQ1aIrJ5ua53pC6hWMKBF2Yj+yfZwSXe55moVJRqrzKvQ5vF9JFtY4PWhHq3dEeLIyWtg6giST94EED5HJ0mIvMUl8OHDy71qFN8byZL3S8a+fy6QhWDpT8LDW778y9z1v3wcskHFlmkFqLywk8IE3zS4qUuocT2NuaYC5I3U92fiMi6mEMiaRWVwbH3BiE2zxv4aH+J1hnk64blI1uVuiaPQDYXyLbxL5SIbMOpFUBG0r83jn9EfivAQWn9mogqmqJyCDCLRBKKzfNGbJ4PgkqyTFJGmbfr7OVQ5nUQlSc2aO1Elftlf8MiklRGEvAgEUB14+cclDb/JTqmMi+XQXagqBwCkmXx72qF1ENUwQQ5JmP31L5mz9+thGdzieSIDVo78Vi0bX/ZJzKLux/w0nGjyY6ffi5BMSVzy503rSc7UUgOAQDL5lm3ln+lO7SUZLtEVldULwntGEBp/at9J5/LAQD4WH3LROZhg9ZOKIQT3HKykLxmDYCCq9rpBvRnnjuHzPPnjZZxDgws/SXcH+IREQHnoIIOMLrtP0rdsyeUXl7QpqZCs22byXl8hg0DAOTExiL90CGj57lPJd+nh9cvZy65jaUuoViOud5Sl0BU7hzzK0tdApF9K6qXhNIJUDpbvSQiW8cGrQk3/UKkLqHE0l2VEAqepaX/aDXG94e0Zaoq8v77bR73t9QlEJVZcTmU6uBSu5h9//7veUm2T2QtBRmsarqXBLsPE5nEBq0Jt3zDpS6hxA6FCAAumP3vGcGHqcLC9GfvClPSS7gXxsfE9h+m9PIqdh7noCD4BBV9yQPuU+F0+1TYmWVb9bJyaKFXb4zL/BNVPV1gy7fSclRGm5xu770AuE/m7ZNceksUlUOg4AIzQb5uVq4K0Drdt/o2iaSg8pf3wV0iKbBBS0Q2IdazRcGXZRPP+Xrdh6eHfLpZZZ47BwDFHqCgisGlfn24t24tdRlmKSqHAODvHwO1jR9celRFO3gi531KP3RYFgd+ylNRt+Yp7QGl2KSMMl0cqoMmAj7KDEwq9RqIyhcbtCaExvz47//k84FN9CiPiAipSyiR5tEn0RzA+wumGT237tIt6xdUBroviKqwMLvuBVAU7pM8FZVDQH5ZJPl4cPKkyUZxReN7Nx8i/RbifOoYPRfk61biBq0lelQk57uXeR1E5YkNWhNU2ezaRPLnXExDwNa4Zz+QugSicpETGwtAHpm0txxqU1MBFH8wwh4Pnshtn/Lu3i12HRWBe/YDuDsB30y1zEmV5SNblXkdfadfxPUyLF/YGXw59ybQ9ZCQy3ASe8cGLRERUTnSfVErrnFBlqf70in3M+dEALD92nZocgwv+BhQKQARNQp6ZB2KP4QbaTeMllM7q9GjTo9SbzfDWVXqZQFAq0mFNjkFSh/7uhuA3C6+ac/YoCWyU7ojjPwiZx0Xa/pJXQKR3Tod2EDqEogkp8nRQJOtgdpFbfYy2XnZCPANKNN23XIyy7S8umfBGUyll5fJ5+XWm0DXQ0JuF9+0Z2zQ2gl3TTOpSyAqkxxlHIQiG+surdNP0x1VbuLbRMLKzJOmeEzqEojKrKgcAgVfjl0cXaxel1bLBi2R7rMwtHKoyed1Z2otrUVcVJmWL6whS2QpbNDakdg8b3R7a4XUZZCN6BB9Bj5VqmOSTE7QCkU2oMgx+VxhH962xCH/vy5ZzoGBElZCVHpF5RAAWlRtYbJLY3kr6xkiInsgh89CU3Rj2dmwpfLCBq0J/1QvvsuCranqcQd52SlArn2NT6DSS853Bx4U/sXU1uhyt6DhEIkrKZ2Iq8f//d/zZnV7IrJFxeUwtHKoJF+qm97WXTBmotW3TdbB4TEFomo2htYh2aCXhE5pxsJuv7YdMfdj4O1q+P2wffX2CPQsOPhqalsA0KN2D6hd1BCKXDjjttFQJnMu5gTY71h2e9sfOWOD1oSUSg2lLqHEevYrGHswRKaNAbK8eWPmSl1Cicgxdw/Lcb2j///YBV8gNtP63TLJNjWP+xuV/QMwTQbffWw1h1plJtyzcw3GrBX1pVr3hXrtrkNIznHEwSj5HNyryIJU2Vj+5nipy5BUoroK8hwUAHItts5HG7MlpfF4AFWewkLVEFkeG7RERBbmdj0ePloPJNeoInUpZAN+qR6BoCpeMH1nVzLHAxcns+d9+MqjmwNbIzbPG0FIKY+yyIKyU7V4kJ4hdRk2wTG/MoY0tMxte8w5o1vcyZBjwT5AvhoLUpcUTFhW8K8zAB9TC6QCmbNmA57VoXrt1xLVKydyuiWbvWOD1oTWl7/+93+WeTMhksLpumW/95w12VPu/NJT4YdUvD3/dalLIRvQ7aP9UpdgNlvN4Ym61QAAC0x08Xv0CqmardsMng9yTMHu+c+Xb4FUZvMGvyx1CTbBJjPooCzxIpnX7wDuWqgAu+0p0SH6DHyc8zBp1edSl1LhsUFLZKcyXN2lLoGIAATevf7v/2zoC6ode3jsnl86z8wSlZmrV8G/Lx0vcjYD5/678n9yjiOS890sW5MNSM53A3LYq8AWsEFLZKfcsh5IXQIRAQi6Fyt1CRVWo9vXi5+JiMqdj0OG3fWUYK8C28EGrZ1QO/93k+3z987jQtIFo3kCKgXo71F2KP6QyVsvNPFtor+C5fZr26HJ0RjNU5Ir42myNdh+fbvJeXRjNuLux+HwrcMm90k39oP7VPJ9anbtDJTCA0DJrohIpaPrEklElueUVRXIzwOWtSl23szbWrsfu0ckJwfrNZe6BLJzbNDaiZJexp2ILCzrvzHLOS53IBxyDQ6OVNQDK9wnDbId/4FC8KrXZeGcFwRozRt/9/DYPV0Wt1/bbrN/H/b4N1+afcpW3YQi3/yLf5H1uGdHIjYpo0TXA+igiYCPMgOTyrEuIh02aO2QOfcJ1H3AFcUSV8ZTu6iLnSfQM1D/QVkY7lPhCtuneeJKscuS5bjlZOr/f72qG4RDNppIWA/ZDqHIlroE+VPXLPjXnDF8D43dEw65gENeORVFlpSuElDmsUFri4J8Sz7+9aIqAFWVaQAAj/xTEMocxN3valcHe5K97sCBB2FsAhu0Jpyr1U/qEojKLNvxH6lLKBG5565Z/Gn9/294FXxgF3bgoyIdWHlYRd0nOZ2dtdUcZjqfQp7yDtZdumUw3dSZQz+lFq4C6KCbKd/R4Hdpa38f9vg3X5p9+tYnq9htVwS2mMG3+1fF6TunkaU1/B0V1XD8VBuPeK0rAKBxwi27PLB0sk4AnDNrSF0GgQ1ak7JcKktdAlGFI/fc5Tkn6//vklFbwkrI1txTe0hdgtlsOYepaS749HfDA3Vf5TrBMb/gwk8PXAqe65wdBHeRjw4o2f1riWyBLWbwQuIFo8ZscYQyC/kPT8h3NDiIYQ8He779ngdhbAUbtCa4Zt+TugSiCseectc87m+pSyAbciGoutQlmM1Wc9iwUkfE5mQARfTeds8uuC1ShvYioCgYb8uLtclH9bTzUpdgE2wxg+acuX+04Xjg070AMgtfwA4EJidIXQL9iw1aE8JiNv37vwFSlkFUJnvDgqUuoUTsKXcuiJe6BKJSsdUcLh/ZqviZ/jXu1a/w4N+vNy4ZQeVVEllYzfu8xRJguxksqWpJ8hlqUVr+mSelLoH+5SB1AQ/Lzs7G66+/jurVq0OlUqFNmzbYvXu31GUREZWIVpkJrdK+j0yT+VpG+6FltJ/UZVQYV9XtcVXdHgBQ504W6txht0AiKSnynXgFaypXNtWgHTVqFD766CMMGzYMn3zyCZRKJXr06IFDhw5JXRqR7FRJTUOV1DSpy6hQMoQzur21AhnCWepSyIb43b8Hv/u2143QXjnkq3Ajpzq6vbUClRI1CGK3QCKry3NOQrJjOrq9tQIJ2sbIFewtQeXHZrocnzhxAj/88AM+/PBDTJs2DQDw3HPPoUmTJpg+fTqOHDkicYVE8vLYNR4NtaaLobWRmOOEgNspqJzzAHBTSl0S2QitIl3qEiqUiJTzeCohCQ+cPeHoeJ1ZJJKAq/MDuGbcR1pyAuJqBUGhss/bl7ln5yL94EF4dCi4rnr6wYPIiYszmk8VGgpVWBgAQLN1G7SaVKN5PCIi4BxU0PBPXrPG5PbUPXtC6eUFbWoqNNu2mZzHZ9gwAEBObCzSTZwUVKq9oO7VEwCQee4cMs+fL/R5ubCZBu2GDRugVCoxbtw4/TRXV1eMGTMGM2fOxI0bNxAQECBhhUTyooD9j1+xJZumfgQAOP/nblzf/Q+cvHwkrohsRZ6SZwitqXVTFXICVXBzckJmXgCzSCSBx1o3QW5qMkIaOiOljgItqraXuiSLe+DihAwF8Maqrbi8Kxr5DpmoqzmMyvczjOa9fTgWcT6nkeeUgqYJx+CenWvwvCLfCVdP3kGihzdyXBIQcc14fK5Sq8Jff2mQ4ayCUnkZLeIuG8+T64mjUQUXxfPIP1Vwy6RH5KAazh67CwCokrMfte79d39d9+xcOKhc8AYbtKXz559/Ijg4GJ6engbTW7duDQA4e/ZsoQ3au3fv4t49w+5cf/9dcJXR6OjoEtdyLzkVAHDx4sUSL0tkK+6k3ARQ/N+xLiPZ2WU7elrWHNpL7qLT0xHdqA48nDxkvy9kGeb8bVsqh0DZsmgPOYwJrIn0al76n5lFeYjOUuJ+vivavTgfgffPQp2ZYjTPHY8auOtecMHD+klH4ZpnPD461isY910K7g0aemevwXOvLlhSdA02kEN7yCDwcA4FcP0eDt08BIcAmxrpWGbnPF2RrHWGywMnONyLR74iCyfcFYCPu9G8qvR84F48tI73sc/dGXA3HJrkkO8Cl4wMIDMDuc73sM3EOpR5HnDWFNwiMMc11eQ8jjlecLpXcGHKJLcsXDcxj3OWB5T/znPPIw8XH5rH/04KxAMXbH5xPmolXUelvBij5eN9PJDsVHChvoZ3LsAJxkNqrlauggyHEABA0/iTyHf8r6dSueRQ2IiQkBDRpUsXo+kXL14UAMQXX3xR6LKzZ88WAPjgg48yPDZt2lSmDDOHfPBR9kdZc8gs8sFH2R/MIR98SP8oSQ4VQggBG1C3bl00aNAA27dvN5h+7do11K1bFx9//DEmT55scllTR8Hu37+PK1euIDQ0FC4u1ut6GR0djX79+mHTpk2oV6+e1bZrDfa6bxV9v7Kzs3Hjxg1ERkbCy8ur1NtjDq3DXvfNXvcLMG/fLJVDwHayWNF/p3Jkr/sFVNwcAvb7e+V+yU955dBmuhyrVCqTp5azsrL0zxemSpUqqFKlitH0du3aWa7AEqpXrx5CQkIk2355std9q8j71bx58zJvhzm0LnvdN3vdL6D4fbNEDgHby2JF/p3Klb3uF1BxcwjY7++V+yU/ls6hzXRmr1atGhISjC+coZtWvXp1a5dERERERERENsxmGrTNmjXDlStXcP/+fYPpx48f1z9PREREREREpGMzDdoBAwZAq9Xiq6++0k/Lzs7GihUr0KZNG96yh4iIiIiIiAzYzBjaNm3a4Nlnn8WMGTNw9+5d1KtXDytXrkRMTAy++eYbqcszW+XKlTF79mxUrlxZ6lIszl73jftlf+x53+113+x1vwD73rei2PN+2+u+2et+Afa9b8Wx133nfslPee2bzVzlGCi4ANSsWbPw/fffIyUlBWFhYXjnnXfw5JNPSl0aERERERER2RibatASERERERERmctmxtASERERERERlQQbtERERERERCRLbNASERERERGRLLFBS0RERERERLLEBq0FnDx5EpMmTUJISAjc3d0RGBiIgQMH4sqVK1KXZnELFiyAQqFAkyZNpC7FIs6cOYM+ffrAx8cHbm5uaNKkCZYsWSJ1WWXyzz//YPDgwahZsybc3NzQsGFDzJs3DxkZGVKXVq6YQ/liDu0Hcyhf9phDgFm09ywyh/JQ3jnkVY4tYMCAATh8+DCeffZZhIWF4fbt21i6dCnS09Nx7NgxuwnZzZs30aBBAygUCtSqVQsXLlyQuqQy+e2339C7d2889thjGDRoEDw8PHD16lXk5+fjgw8+kLq8Urlx4wbCwsKgVqsxfvx4+Pj44OjRo/juu+/Qp08fbN68WeoSyw1zKE/MoX1hDuXJHnMIMIv2nkXmUB6skkNBZXb48GGRnZ1tMO3KlSvCxcVFDBs2TKKqLG/QoEGiS5cuIjIyUoSEhEhdTploNBpRtWpV0b9/f6HVaqUux2IWLFggAIgLFy4YTH/uuecEAJGcnCxRZeWPOZQf5tD+MIfyY685FIJZtPcsMofyYI0cssuxBYSHh8PZ2dlgWv369RESEoKoqCiJqrKsAwcOYMOGDVi8eLHUpVjE2rVrcefOHSxYsAAODg548OAB8vPzpS6rzO7fvw8AqFq1qsH0atWqwcHBwejv1J4wh/LDHNof5lB+7DWHALNoz1lkDuXDGjlkg7acCCFw584d+Pn5SV1KmWm1Wrz88ssYO3YsQkNDpS7HIvbs2QNPT0/Ex8ejQYMG8PDwgKenJyZMmICsrCypyyu1Tp06AQDGjBmDs2fP4saNG/jxxx/x+eef45VXXoG7u7u0BVoZc2jbmMOKgTm0bfaaQ4BZfJS9ZJE5lBer5LDM53jJpNWrVwsA4ptvvpG6lDJbunSpUKvV4u7du0IIYRddO8LCwoSbm5twc3MTL7/8sti4caN4+eWXBQAxePBgqcsrk3feeUeoVCoBQP948803pS5LEsyhbWMOKwbm0LbZcw6FYBYfZi9ZZA7lp7xzyAZtOYiKihKenp6iXbt2Ii8vT+pyyiQxMVH4+PiIRYsW6afZwxtHnTp1BAAxfvx4g+kvvviiACCuXLkiUWVlt3r1avHkk0+Kr776SmzcuFGMHj1aKBQK8emnn0pdmlUxh7aPObR/zKHts+ccCsEs6thLFplDeSrvHLJBa2EJCQmiTp06IiAgQMTHx0tdTpmNHz9e1KtXz+DCAvbwxhESEiIAiP379xtM379/vwAgVq5cKVFlZbNu3TqhUqnEjRs3DKaPGjVKuLm5icTERIkqsy7mUB6YQ/vGHMqDveZQCGZRx56yyBzKjzVyyDG0FqTRaNC9e3ekpqZi586dqF69utQllck///yDr776Cq+88gpu3bqFmJgYxMTEICsrC7m5uYiJiUFycrLUZZaK7nfz6AD1KlWqAABSUlKsXpMlfPbZZ3jsscdQs2ZNg+l9+vRBRkYG/vzzT4kqsx7mUD6YQ/vFHMqHveYQYBYB+8oicyhP1sghG7QWkpWVhd69e+PKlSvYunUrGjduLHVJZRYfH4/8/Hy88sorqF27tv5x/PhxXLlyBbVr18a8efOkLrNUWrRoAaBgHx9269YtAEDlypWtXpMl3LlzB1qt1mh6bm4uACAvL8/aJVkVcygvzKF9Yg7lxV5zCDCL9pZF5lCerJFDxzKvgaDVajFo0CAcPXoUmzdvRrt27aQuySKaNGmCX375xWj6W2+9hbS0NHzyySeoW7euBJWV3cCBA7Fw4UJ888036NKli3768uXL4ejoqL8im9wEBwfjt99+w5UrVxAcHKyfvm7dOjg4OCAsLEzC6soXcyg/zKH9YQ7lx15zCDCL9pZF5lCerJFDhRBClHktFdzkyZPxySefoHfv3hg4cKDR88OHD5egqvLTqVMnJCYm4sKFC1KXUiZjxozBt99+i4EDByIyMhL79u3D+vXrMWPGDLz77rtSl1cqBw4cQJcuXeDr64tJkybB19cXW7duxY4dOzB27Fh8/fXXUpdYbphDeWIO7QtzKE/2mEOAWawoWWQObZtVcljmUbgkIiMjDS5D/ejD3tjD4HshhMjJyRFz5swRQUFBwsnJSdSrV098/PHHUpdVZsePHxfdu3cX/v7+wsnJSQQHB4sFCxaI3NxcqUsrV8yhPDGH9oU5lCd7zaEQzGJFyCJzaPvKO4c8Q0tERERERESyxItCERERERERkSyxQUtERERERESyxAYtERERERERyRIbtERERERERCRLbNASERERERGRLLFBS0RERERERLLEBi0RERERERHJEhu0REREREREJEts0BIREREREZEssUFLREREREREssQGLREREREREckSG7REREREREQkS2zQEhERERERkSyxQUtERERERESyxAYtERERERERydL/A1vsVh1hNNaoAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# comparison to stat-only:\n", + "_ = autogrid(\n", + " data=results,\n", + " subplot_kwargs={\"sharex\": True, \"sharey\": True},\n", + " plot_func=plot_bins,\n", + " title=\"optimised bins\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n" + ] + }, + { + "data": { + "text/plain": [ + "DeviceArray(0.00130859, dtype=float64)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "class A:\n", + " x: float\n", + " y: float\n", + "\n", + " def __init__(self, x, y):\n", + " self.x = x\n", + " self.y = y\n", + "\n", + " def logpdf(self):\n", + " return self.x**2 + self.y * 2\n", + "\n", + "\n", + "model = A(1, 2)\n", + "\n", + "\n", + "def function(pars):\n", + " a, b = pars\n", + " model.x = a\n", + " model.y = b\n", + " return abs(model.logpdf() - 5)\n", + "\n", + "\n", + "solver = OptaxSolver(\n", + " function, adam(learning_rate=1e-2), maxiter=10000, tol=1e-6, jit=True\n", + ")\n", + "function(solver.run((3.0, 4.0)).params)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "interpreter": { + "hash": "22d6333b89854cd01c2018f3ca2f5a59a2cde2765fbca789ff36cfad48ca629b" + }, + "kernelspec": { + "display_name": "Python 3.9.12 ('venv': venv)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/cuts.ipynb b/examples/cuts.ipynb new file mode 100644 index 0000000..48d56a4 --- /dev/null +++ b/examples/cuts.ipynb @@ -0,0 +1,457 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/lib/__init__.py:33: UserWarning: JAX on Mac ARM machines is experimental and minimally tested. Please see https://github.com/google/jax/issues/5501 in the event of problems.\n", + " warnings.warn(\"JAX on Mac ARM machines is experimental and minimally tested. \"\n" + ] + } + ], + "source": [ + "import jax\n", + "import jax.numpy as jnp\n", + "from jax.random import PRNGKey\n", + "import matplotlib.pyplot as plt\n", + "import relaxed\n", + "from functools import partial\n", + "\n", + "# matplotlib settings\n", + "plt.rc(\"figure\", figsize=(6, 3), dpi=150, facecolor=\"w\")\n", + "plt.rc(\"legend\", fontsize=6)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Optimising cuts using gradient descent\n", + "\n", + "This is a simple example to show how you would implement optimisation of cuts for best significance in a differentiable way, and examines some of the trade-offs that one has to make in order to do this." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:absl:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# generate background data from an exponential distribution with a little noise\n", + "def generate_background(key, n_samples, n_features, noise_std):\n", + " key, subkey = jax.random.split(key, 2)\n", + " data = jax.random.exponential(subkey, (n_samples, n_features))\n", + " key, subkey = jax.random.split(key, 2)\n", + " data += jax.random.normal(subkey, (n_samples, n_features)) * noise_std\n", + " return data\n", + "\n", + "\n", + "# generate signal data from a normal distribution close to the background\n", + "def generate_signal(key, n_samples, n_features):\n", + " key, subkey = jax.random.split(key, 2)\n", + " data = jax.random.normal(subkey, (n_samples, n_features)) / 2 + 2\n", + " return data\n", + "\n", + "\n", + "# get 1000 samples from the background and 100 samples from the signal\n", + "bkg = generate_background(PRNGKey(0), 1000, 1, 0.1).ravel()\n", + "sig = generate_signal(PRNGKey(1), 100, 1).ravel()\n", + "\n", + "# plot!\n", + "plt.hist(\n", + " [bkg, sig], stacked=True, bins=30, histtype=\"step\", label=[\"background\", \"signal\"]\n", + ")\n", + "plt.xlabel(\"x\")\n", + "plt.ylabel(\"count\")\n", + "plt.legend();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's treat this as a one-bin counting experiment, where we'll make a cut (=keep data above/below a threshold value) in order to get a better chance of discovering the signal.\n", + "\n", + "To do this, let's write a function to get the significance, and get its value at a random cut value (that you can change!)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def significance_after_cut(cut):\n", + " # treat analysis as a one-bin counting experiment\n", + " s = len(sig[sig > cut])\n", + " b = len(bkg[bkg > cut])\n", + " return relaxed.metrics.asimov_sig(s, b) # stat-only significance\n", + "\n", + "\n", + "cut = 2 # change me to change the plot!\n", + "\n", + "significance = significance_after_cut(cut)\n", + "plt.hist(\n", + " [bkg, sig], stacked=True, bins=30, histtype=\"step\", label=[\"background\", \"signal\"]\n", + ")\n", + "plt.axvline(x=cut, color=\"k\", linestyle=\"--\", alpha=0.5, label=f\"cut = {cut:.2f}\")\n", + "plt.text(\n", + " 0.5,\n", + " 0.5,\n", + " f\"significance at cut = {significance:.2f}\",\n", + " ha=\"center\",\n", + " va=\"center\",\n", + " transform=plt.gca().transAxes,\n", + ")\n", + "plt.xlabel(\"x\")\n", + "plt.ylabel(\"count\")\n", + "plt.legend();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What's the best cut we can make? We can find out through a quick grid search over all cut values since this is a toy example:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'significance')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot significance for all cut values\n", + "cut_values = jnp.linspace(0, 8, 100)\n", + "significances_hard = jnp.array([significance_after_cut(cut) for cut in cut_values])\n", + "plt.plot(cut_values, significances_hard, label=\"significance\")\n", + "optimal_cut = cut_values[jnp.argmax(significances_hard)]\n", + "plt.axvline(x=optimal_cut, color=\"k\", linestyle=\"--\", alpha=0.5, label=\"optimal cut\")\n", + "plt.text(\n", + " 0.5,\n", + " 0.5,\n", + " f\"optimal cut = {optimal_cut:.2f}\",\n", + " ha=\"center\",\n", + " va=\"center\",\n", + " transform=plt.gca().transAxes,\n", + ")\n", + "plt.xlabel(\"x\")\n", + "plt.ylabel(\"significance\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we'll introduce `relaxed.cut`, which is a softened version of a cut that uses the sigmoid function $1/(1+e^{-x})$. Normally, the sigmoid serves to map values on the real line to [0,1], so we leverage this to be used as a cut by applying it to data, which results in a set of weights for each point in [0,1]. (A normal cut does this too, but the weights are all 0 or 1, and you drop the 0s. One could similarly threshold on a minimum weight value here.)\n", + "\n", + "Practically, we introduce slope and intercept terms that control the sigmoid's x position and how \"hard\" the cut is: $1/(1+e^{-\\mathrm{slope}(x-\\mathrm{cut~value}})$. High slopes mean less approximate cuts, but at the risk of gradient instability.\n", + "\n", + "Let's look at this in practice:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cut_val = 5 # translates on the x-axis\n", + "plt.plot(cut_values, cut_values > cut_val, label=\"hard cut\")\n", + "plt.plot(\n", + " cut_values, relaxed.cut(cut_values, cut_val, slope=1), label=\"soft cut\", color=\"C1\"\n", + ")\n", + "plt.plot(\n", + " cut_values,\n", + " relaxed.cut(cut_values, cut_val, slope=10),\n", + " label=\"less soft cut (high slope)\",\n", + " color=\"C2\",\n", + " alpha=0.4,\n", + ")\n", + "plt.plot(\n", + " cut_values,\n", + " relaxed.cut(cut_values, cut_val, slope=0.5),\n", + " label=\"more soft cut (low slope)\",\n", + " color=\"C3\",\n", + " alpha=0.4,\n", + ")\n", + "plt.ylabel(\"weight applied at x\")\n", + "plt.xlabel(\"x\")\n", + "plt.legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Since the cuts are approximate, the significance will also be approximate. Not to worry, as we're going to use the optimised cut value in an analysis with actual cuts (although there's nothing stopping us from using the soft cuts instead), and trust that the optimised cut value is still good. We can do this if the soft cut-significance faithfully represents the shape of the actual significance, which we can check:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def significance_after_soft_cut(cut, slope):\n", + " s_weights = (\n", + " relaxed.cut(sig, cut, slope) + 1e-4\n", + " ) # add small offset to avoid 0 weights\n", + " b_weights = relaxed.cut(bkg, cut, slope) + 1e-4\n", + " return relaxed.metrics.asimov_sig(s_weights.sum(), b_weights.sum())\n", + "\n", + "\n", + "# choosing the cut slope: increasing slope reduces bias but also noises gradients.\n", + "# I increased it until gradients were nan in the next step, then went a touch lower.\n", + "# I'll think about a more principled way to do this (suggestions welcome!)\n", + "slope = 2.7\n", + "\n", + "# plot significance for all cut values\n", + "cut_values = jnp.linspace(0, 8, 100)\n", + "soft = partial(significance_after_soft_cut, slope=slope)\n", + "significances = jax.vmap(soft, in_axes=(0))(cut_values)\n", + "plt.plot(cut_values, significances_hard, label=\"significance with hard cut\")\n", + "plt.plot(cut_values, significances, label=\"significance with soft cut\")\n", + "plt.xlabel(\"x\")\n", + "plt.ylabel(\"significance\")\n", + "plt.legend();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks like the maxima of the significance are in the same region as the softened version, so we're good to go from an optimisation standpoint!\n", + "\n", + "We'll use gradient descent through the adam optimiser, and see how we do." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/phinate/code/relaxed/venv/lib/python3.9/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.\n", + " warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '\n" + ] + }, + { + "data": { + "text/plain": [ + "DeviceArray(1.3602657, dtype=float32)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from jaxopt import OptaxSolver\n", + "from optax import adam\n", + "\n", + "# define something to minimise (1/significance)\n", + "def loss(cut):\n", + " s_weights = relaxed.cut(sig, cut, slope) + 1e-4\n", + " b_weights = relaxed.cut(bkg, cut, slope) + 1e-4\n", + " return 1 / relaxed.metrics.asimov_sig(s_weights.sum(), b_weights.sum())\n", + "\n", + "\n", + "# play with the keyword arguments to the optimiser if you want :)\n", + "solver = OptaxSolver(loss, adam(learning_rate=1e-2), maxiter=10000, tol=1e-6)\n", + "init = 6.0\n", + "cut_opt = solver.run(init).params\n", + "cut_opt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Okay, now let's see how good we did!" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "significance = significance_after_cut(cut_opt)\n", + "plt.hist(\n", + " [bkg, sig], stacked=True, bins=30, histtype=\"step\", label=[\"background\", \"signal\"]\n", + ")\n", + "plt.axvline(\n", + " x=cut_opt,\n", + " color=\"r\",\n", + " linestyle=\"-\",\n", + " alpha=0.5,\n", + " label=f\"optimised cut = {cut_opt:.2f}\",\n", + ")\n", + "significance = significance_after_cut(cut_opt)\n", + "plt.axvline(\n", + " x=optimal_cut,\n", + " color=\"k\",\n", + " linestyle=\"--\",\n", + " alpha=0.5,\n", + " label=f\"true best cut = {optimal_cut:.2f}\",\n", + ")\n", + "plt.text(\n", + " 0.6,\n", + " 0.5,\n", + " f\"significance at optimised cut = {significance:.2f}\",\n", + " ha=\"center\",\n", + " va=\"center\",\n", + " transform=plt.gca().transAxes,\n", + ")\n", + "plt.text(\n", + " 0.6,\n", + " 0.6,\n", + " f\"significance at true best cut = {significance_after_cut(optimal_cut):.2f}\",\n", + " ha=\"center\",\n", + " va=\"center\",\n", + " transform=plt.gca().transAxes,\n", + ")\n", + "plt.xlabel(\"x\")\n", + "plt.ylabel(\"count\")\n", + "plt.legend();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On my computer, we're .01 away from the best significance, so I'm pretty happy with that ;)\n", + "\n", + "Thanks go to Alex Held, who provided a very similar nice example in the early days that I used as inspiration ([see here](https://github.com/alexander-held/differentiable-analysis-example/blob/master/Significance_optimization.ipynb))" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "22d6333b89854cd01c2018f3ca2f5a59a2cde2765fbca789ff36cfad48ca629b" + }, + "kernelspec": { + "display_name": "Python 3.9.12 ('venv': venv)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/diffable_histograms.ipynb b/examples/diffable_histograms.ipynb new file mode 100644 index 0000000..fe46165 --- /dev/null +++ b/examples/diffable_histograms.ipynb @@ -0,0 +1,380 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cef825ee", + "metadata": {}, + "source": [ + "# Differentiable Histograms\n", + "\n", + "One of the most common data structures in HEP is the **histogram**. It is a very powerful data reduction and density estimation technique, and ubiquitous in the field.\n", + "\n", + "A histogram can be thought of as a set of intervals on a 1D domain (bins), and a set of counts for each interval (yields).\n", + "\n", + "We want to take the gradient of the yields with respect to the parameters that control the data (φ). But this is ill-defined -- histograms are discrete!\n", + "\n", + "To illustrate this further: gradients are the language of small changes, so how do the yields change when we wiggle φ?\n", + "\n", + "- events migrate between bins (discontinuous) \n", + "- ...or stay in the same bin (zero gradient) \n", + "\n", + "So what do we do? That's the subject of this notebook :)\n", + "\n", + "Check out this preprint https://arxiv.org/abs/2203.05570 for more information (section 3.2), which describes binned Kernel Density Estimates (bKDEs)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "b5316505", + "metadata": {}, + "outputs": [], + "source": [ + "import relaxed\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# matplotlib settings\n", + "plt.rc(\"figure\", figsize=(6, 3), dpi=150, facecolor=\"w\")\n", + "plt.rc(\"legend\", fontsize=6)" + ] + }, + { + "cell_type": "markdown", + "id": "d511200d", + "metadata": {}, + "source": [ + "The trick is that instead of using a \"hard\" histogram function like `np.histogram` (using the jax version `jnp.histogram` doesn't make it differentiable by default, but for fun you can try what happens if you use that) you would use a \"relaxed\" version from the `relaxed` library.\n", + "\n", + "As a user you will need to specify the degree of relaxation, here given by the \"bandwidth\" of the kernel density estimate. Try playing with the bandwidth parameter to see the effect it has on the shape -- higher = more bias, more stable gradients, and lower = more histogram-like, less stable gradients." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "87ecf1d5", + "metadata": {}, + "outputs": [], + "source": [ + "inputs = np.random.normal(1, 1, size=1000)\n", + "bins = np.linspace(-10, 10, 51)\n", + "ctrs = bins[:-1] + np.diff(bins) / 2\n", + "counts_soft_p1 = relaxed.hist(inputs, bandwidth=0.5, bins=bins)\n", + "counts_soft_p2 = relaxed.hist(inputs, bandwidth=1.0, bins=bins)\n", + "\n", + "counts_hard, _ = np.histogram(inputs, bins=bins)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3fde4ab3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(-5.0, 5.0)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.step(ctrs, counts_hard, label=\"hard\", where=\"mid\")\n", + "plt.step(ctrs, counts_soft_p1, label=\"small bw\", where=\"mid\")\n", + "plt.step(ctrs, counts_soft_p2, label=\"large bw\", where=\"mid\")\n", + "plt.legend()\n", + "plt.xlim(-5, 5)" + ] + }, + { + "cell_type": "markdown", + "id": "1de316a2", + "metadata": {}, + "source": [ + "# Optimizing through histogramming\n", + "\n", + "\n", + "The main advantage of \"soft\" histograms through `relaxed` is that you can optimise by taking gradients across the histogramming operation, i.e. histograms can be part of a loss function. We will demonstrate this by doing a \"gradient-based\" shift of the histogram.\n", + "\n", + "If you have many events $x_i$, we ask what is the value $\\Delta$ such that the peak of the histogram of $x_i + \\Delta$ is at some desired value (e.g. t=3.0). Not really a useful problem, but it's illustrative enough!\n", + "\n", + "For this we will set up a loss term \n", + "\n", + "$$L(\\Delta) = (\\mathrm{mean}(\\mathrm{histo}(x_i+\\Delta)) - t)^2$$\n", + "\n", + "and we will the minimize $L$ by computing gradients $\\partial L \\over \\partial \\Delta$, allowing us to perform gradient descent.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "981cdb1c", + "metadata": {}, + "outputs": [], + "source": [ + "def shift_histo(factor, inputs):\n", + " shifted_inputs = factor + inputs\n", + " soft_counts = relaxed.hist(shifted_inputs, bandwidth=0.5, bins=bins)\n", + " binned_mean = np.sum(ctrs * soft_counts / len(shifted_inputs))\n", + " return binned_mean\n", + "\n", + "\n", + "def loss(param, target, inputs):\n", + " binned_mean = shift_histo(param, inputs)\n", + " loss = (binned_mean - target) ** 2\n", + " return loss" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "498c14c3", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.03999973 3.9501262\n" + ] + }, + { + "data": { + "image/png": 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", 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", 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", 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", 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", 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", 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", 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", 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YsaOSkpI0fPhwtWvXTjk5Ofr88881a9YspaWlqaysTBs3bqw4v6CgoOKf/at5PVhAQIAkKT8/v0Y1dOvWzWH76dOnFR4eXtNbAQAAABo9U0LDuHHjKn0OCAjQk08+qcGDB6t79+7atGmTMjIy1K9fPzPKAwAAAHATt9oROjQ0VBMmTFBSUpJ27NhRERpunqpUVFSk5s2bV+lbWFgoSWrWrFmNxjp27JjD9uqeQAAAAACeyu3entSpUydJ0qVLlyramjdvrqCfdz28cOGCw37l7e3atavnCgEAAADP4nahIScnR9L/rVEoFxERIUk6fPhwlT6lpaX69ttv5efnp86dO9d/kQAAAIAHcavQYLfbKxZA//LVqrGxsZKk1NTUKv22bt0qm82moUOHys/Pr/4LBQAAADyIy0NDdna2li9fXuUtRwUFBZo8ebIyMzPVunXrSrs+S9KkSZPUvHlzbd68WRs2bKho/+mnnzRr1ixJ0syZM+v/BgAAAAAP45SF0Nu2bVNiYmLF55KSEkmq9PajefPmKTY2VoWFhZo6darmzJmjqKgohYaGKjs7W4cPH9bly5dltVqVmppa5dWqwcHBevvtt/XrX/9aY8eOVXR0tFq0aKHdu3crNzdXM2bMUHR0tDNuBwAAAMBNnBIasrOzlZmZWaX95rbs7GxJUosWLTR79mxlZGTo1KlTSk9Pl5eXlzp06KD4+Hi99NJLatOmjcNxxowZo88//1wLFy5URkaGSkpKdO+992rq1KkaP368M24FAAAAwC84JTTEx8crPj6+Ruc2a9ZMixYtuu2xBgwYoI8//vi2+wMAAACoHbdaCA0AAADA/RAaAAAAABgiNAAAAAAwRGgAAAAAYIjQAAAAAMAQoQEAAACAIUIDAAAAAEOEBgAAAACGCA0AAAAADBEaAAAAABgiNAAAAAAwRGgAAAAAYIjQAAAAAMAQoQEAAACAIUIDAAAAAEOEBgAAAACGCA0AAAAADBEaAAAAABgiNAAAAAAwRGgAAAAAYIjQAAAAAMAQoQEAAACAIUIDAAAAAEOEBgAAAACGCA0AAAAADDklNBw6dEiLFi1SXFycwsLCZLFYZLFYHJ57/fp17du3T7NmzVLv3r3VrFkz+fr6Kjw8XAkJCTpz5ozDfp9++mnFdR399evXzxm3AgAAAOAX7nDGRRITE7V58+YanfvDDz/ogQcekCS1bt1aQ4YMkZeXl7788kutXLlS69at0/bt2zVw4ECH/cPDwx0eCw8Pv/0bAAAAAFAtp4SG/v37q0ePHoqKilJUVJTat2+v4uJih+daLBY99NBDmjNnjgYPHlzxRKK4uFgJCQlas2aNnnrqKX3//ffy9vau0n/gwIFas2aNM8oGAAAAUANOCQ2zZ8+u8bnh4eHauXNnlXZfX1+tWLFCGzdu1Llz55Senq4HH3zQGeUBAAAAqAO3WgjdtGlTde7cWZL097//3eRqAAAAAEhOetLgLNevX1dWVpakG+sdHPnuu+/0yiuv6PLlywoJCdHAgQM1bNgwNWniVvkHAAAAaDTcKjSsX79eP/30k1q2bKn777/f4Tnp6elKT0+v1Na9e3elpaWpU6dOrigTAAAA8ChuExrOnz+v6dOnS5IWLFggX1/fSseDgoL0m9/8RmPGjKkIB0eOHNHvfvc7ZWRkKCYmRkeOHFFQUFCNxuvWrZvD9tOnT/MmJgAAAOAmbhEaCgsLFRcXp3/+858aPXq0EhISqpzTq1cv9erVq1LbkCFD9MUXX2jw4MHat2+fVqxYoVdeecVVZQMAAAAewfTQUFpaqscee0wHDx7UwIEDtW7dulr19/Ly0uzZs7Vv3z598sknNQ4Nx44dc9he3RMIAAAAwFOZunr4+vXrGj9+vD7++GP17NlTW7ZsUdOmTWt9nfLpSpcuXXJ2iQAAAIDHMzU0vPDCC1q/fr06d+6sTz75RFar9bauk5OTI0kKCAhwYnUAAAAAJBNDw9y5c7VixQq1bdtWu3btUqtWrW77WmlpaZKkyMhIZ5UHAAAA4GemhIY333xTr776qlq3bq3du3erbdu2t+yzdOlSnT9/vlKb3W7XypUr9eabb8pisWjy5Mn1VTIAAADgsZyyEHrbtm1KTEys+FxSUiJJ6tevX0XbvHnzFBsbqyNHjmjmzJmSpA4dOujVV191eM1JkyZp4MCBFZ+XLl2ql19+WZGRkerQoYNsNpu++eYbnTlzRk2aNNEf//hH9e7d2xm3AwAAAOAmTgkN2dnZyszMrNJ+c1t2drYkKTc3V3a7XZJ04MABHThwwOE1o6OjK4WGmTNnaufOnTp27JiOHz+u0tJShYaGaty4cXrxxRcVFRXljFsBAAAA8AtOCQ3x8fGKj4+v0bnR0dEVoaE2XnjhBb3wwgu17gcAAACgbkx9exIAAAAA90doAAAAAGCI0AAAAADAEKEBAAAAgCFCAwAAAABDhAYAAAAAhggNAAAAAAwRGgAAAAAYIjQAAAAAMERoAAAAAGCI0AAAAADAEKEBAAAAgCFCAwAAAABDhAYAAAAAhggNAAAAAAzdYXYBAAAA8By2vDyXjOPl4yNvf3+XjOUJCA0AAABwmeT27V0zkMWiPgkJil2xwjXjNXJMTwIAAEC98fLxkSwW1w9st+tgSopKi4pcP3YjRGgAAABAvfH291efhATTgkNZSYnrx22EmJ4EAACAehW7YoVikpJc8gPelpfnuilQHoTQAAAAgHrn7e/PwuQGjOlJAAAAAAwRGgAAAAAYYnoSAABoMEqLiup9Xryr9hEAGhJCAwAAaBC2TZmigykpkt1udimAx2F6EgAAcHulRUXmBAaL5cY+A4CHc0poOHTokBYtWqS4uDiFhYXJYrHIUoN38a5Zs0Z9+/ZVYGCggoODNWLECKWnpxv22b9/v0aMGKHg4GAFBgaqb9++Wrt2rTNuAwAAuKmykhJTAkOfhATe+APISdOTEhMTtXnz5lr1mT59upKTk9W0aVPFxMTIZrNp165d2rlzp1JTUzV69OgqfdLS0vT444/r+vXreuCBBxQSEqI9e/Zo/PjxOnr0qJKSkpxxOwAAwM1NO3tWfkFB9TqGl48PgQH4mVNCQ//+/dWjRw9FRUUpKipK7du3V3FxcbXn7969W8nJyWrRooUOHDigTp06SZIOHDig6OhoTZgwQdHR0bJarRV9rly5omeeeUZlZWVKS0tTXFycJOnHH3/UwIEDtXjxYj3yyCOKjo52xi0BAAA35hcUJL+bficAqF9OmZ40e/ZsLViwQCNHjlTr1q1vef6SJUskSXPnzq0IDNKN8JGQkKDc3FytXr26Up9Vq1bp6tWrGjVqVEVgkKS77rpLr7/+uiRp8eLFzrgdAAAAADdx+ULoa9euae/evZKksWPHVjle3rZly5ZK7du2bau2T2xsrPz8/LR7927ZbDZnlwwAAAB4NJeHhpMnT6q4uFgtW7ZUWFhYleORkZGSpKNHj1Zq//rrrysdv5mPj4/uu+8+2Ww2nTp1qh6qBgAAADyXy0PDuXPnJMlhYJCkgIAAWa1W5eTkKD8/X5J09epV5f280Up1/crbs7KynF0yAAAA4NFcvrlbQUGBJMnf4G0EAQEBys3NVX5+vpo1a1bRx6hfQECAJFUEjVvp1q2bw/bTp08rPDy8RtcAAAAAPAGbuwEAAAAw5PInDYGBgZKkoqKias8pLCyUJDVr1qxSn/J+zZs3v2WfWzl27JjD9uqeQAAAAACeyuVPGtq2bStJunDhgsPjhYWFys3N1Z133lkRAJo3b66gnzdwqa5feXu7du2cXTIAAADg0VweGrp06SJfX19lZ2fr4sWLVY4fPnxYktSjR49K7REREZWO36y0tFTffvut/Pz81Llz53qoGgAAAPBcLg8NTZs21ZAhQyRJH330UZXjqampkqSRI0dWao+Nja10/GZbt26VzWbT0KFD5efn5+ySAQAAAI9mykLoGTNmSJIWLlyo7777rqL9wIEDWrlypaxWqyZOnFipz6RJk9S8eXNt3rxZGzZsqGj/6aefNGvWLEnSzJkzXVA9AAAA4FmcEhq2bdumfv36VfyVlJRIUqW28h2dJWno0KGaNm2aLl++rJ49e2r06NEaMWKEHnjgAf3rX//SO++8I6vVWmmM4OBgvf3222rSpInGjh2rIUOG6LHHHlOXLl30/fffa8aMGYqOjnbG7QAAAAC4iVPenpSdna3MzMwq7Te3ZWdnVzq2dOlS9ezZU8uWLdOuXbvk4+OjoUOHat68ebr//vsdjjNmzBh9/vnnWrhwoTIyMlRSUqJ7771XU6dO1fjx451xKwAAAAB+wSmhIT4+XvHx8S7pN2DAAH388ce1HgsAAADA7WFzNwAAAACGCA0AAAAADBEaAAAAABgiNAAAAAAwRGgAAAAAYIjQAAAAAMAQoQEAAACAIUIDAAAAAEOEBgAAAACGCA0AAAAADBEaAAAAABgiNAAAAAAwRGgAAAAAYIjQAAAAAMAQoQEAAACAIUIDAAAAAEOEBgAAAACGCA0AAAAADBEaAAAAABgiNAAAAAAwRGgAAAAAYIjQAAAAAMAQoQEAAACAIUIDAAAAAEOEBgAAAACGTAsNn376qSwWyy3/FixYUNFn/vz5hufOmTPHrNsBAAAAGq07zBq4devWGj9+vMNjZWVlev/99yVJgwYNqnJ8wIAB6tixY5X23r17O7dIAAAAAOaFhnvuuUdr1qxxeOzjjz/W+++/r3//939XdHR0leOTJk1SfHx8vdYHAAAA4Aa3XNNQ/pThqaeeksViMbkaAAAAwLOZ9qShOoWFhdq8ebMk6emnnza5GgAAADRktrw8l4zj5eMjb39/l4xlBrcLDRs2bFBhYaF69eqle++91+E5e/fu1ZEjR2Sz2RQWFqbhw4ezngEAAABVJLdv75qBLBb1SUhQ7IoVrhnPxdwuNJRPTTJ6yvDee+9V+jxv3jyNGTNGa9asUWBgYL3WBwAAAPfl5eMjWSyS3e7age12HUxJUUxSUqN84uBWaxouXbqkPXv2yMvLS0888USV4x07dlRSUpKOHTumgoICnT9/Xn/+85/Vpk0bpaWl1Wo6U7du3Rz+nT592pm3BAAAABfy9vdXn4SEG8HB1ex2lZWUuH5cF3CrJw3r169XWVmZhg0bptatW1c5Pm7cuEqfAwIC9OSTT2rw4MHq3r27Nm3apIyMDPXr189VJQMAAMDNxK5YoZikJJf8gLfl5bluCpSJ3Co01GRqkiOhoaGaMGGCkpKStGPHjhqFhmPHjjls79atW63GBgAAgPvx9vdvlNOEzOI205P+9re/6auvvlJgYKBGjx5d6/6dOnWSdGOKEwAAAADncZvQUL64OS4uTv63kQpzcnIk3ZiyBAAAAMB53CI02O12rVu3TtLt7c1gt9u1ceNGSVJkZKRTawMAAAA8nVuEhn379ikrK0tt2rTRkCFDHJ6TnZ2t5cuXKz8/v1J7QUGBJk+erMzMTLVu3VpxcXGuKBkAAADwGG6xELp8AfSTTz6pJk0c55jCwkJNnTpVc+bMUVRUlEJDQ5Wdna3Dhw/r8uXLslqtSk1Nva2pTQAAAACqZ3poKC4uVmpqqqSqr1S9WYsWLTR79mxlZGTo1KlTSk9Pl5eXlzp06KD4+Hi99NJLatOmjavKBgAAADyG6aHB19dXV65cueV5zZo106JFi1xQEQAAqKnSoiKXvQsfgHlMDw0AAKBh2jZlig6mpEh2u9mlAKhnbrEQGgAANCylRUXmBQaLRV4+Pq4fF/BghAYAAFBrZSUlpgWGPgkJ7PQLuBjTkwAAQJ1NO3tWfkFB9T6Ol48PgQEwAaEBAADUmV9QkPysVrPLAFBPmJ4EAAAAwBChAQAAAIAhQgMAAAAAQ4QGAAAAAIYIDQAAAAAMERoAAAAAGCI0AAAAADBEaAAAAABgiNAAAAAAwBChAQAAAIAhQgMAAAAAQ4QGAAAAAIYIDQAAAAAMERoAAAAAGCI0AAAAADBEaAAAAABgiNAAAAAAwBChAQAAAIAhQgMAAAAAQ4QGAAAAAIYIDQAAAAAMmRoaoqOjZbFYqv3bsWOHw35r1qxR3759FRgYqODgYI0YMULp6ekurh4AAADwDHeYXYAkjRkzRoGBgVXa27RpU6Vt+vTpSk5OVtOmTRUTEyObzaZdu3Zp586dSk1N1ejRo11QMQAAAOA53CI0JCUlqX379rc8b/fu3UpOTlaLFi104MABderUSZJ04MABRUdHa8KECYqOjpbVaq3fggEAAAAP0qDWNCxZskSSNHfu3IrAIEn9+/dXQkKCcnNztXr1arPKAwAAABqlBhMarl27pr1790qSxo4dW+V4eduWLVtcWhcAAADQ2LnF9KTVq1fr8uXLatKkiTp37qzRo0erbdu2lc45efKkiouL1bJlS4WFhVW5RmRkpCTp6NGjLqkZAAAA8BRuERoWLlxY6fPLL7+sefPmad68eRVt586dkySHgUGSAgICZLValZOTo/z8fDVr1sxwzG7dujlsP336tMLDw2tTPgAAANComTo96YEHHtB7772n06dPq6ioSCdPntSrr76qO+64Q7///e+VnJxccW5BQYEkyd/fv9rrBQQESJLy8/Prt3AAAADAg5j6pGHBggWVPnfu3Fm//e1v1adPHz388MOaP3++nnvuOTVt2tTpYx87dsxhe3VPIAAAAABP5ZYLoWNiYtSnTx/l5uYqMzNTkir2cSgqKqq2X2FhoSTdcmoSAAAAgJpzy9AgqeKVqpcuXZKkioXRFy5ccHh+YWGhcnNzdeeddxIaAAAAACdy29CQk5Mj6f/WKXTp0kW+vr7Kzs7WxYsXq5x/+PBhSVKPHj1cVyQAAADgAdwyNGRnZ2vfvn2S/u9Vqk2bNtWQIUMkSR999FGVPqmpqZKkkSNHuqhKAAAAwDOYFhrS09O1adMmlZWVVWo/e/asfvWrX6mwsFCPPvpopVeszpgxQ9KNV7R+9913Fe0HDhzQypUrZbVaNXHiRNfcAAAAAOAhTHt70qlTpzRhwgS1bt1akZGRslqtysrK0qFDh2Sz2dStWze99dZblfoMHTpU06ZNU3Jysnr27KmHHnpIJSUl2rVrl+x2u9555x1ZrVZzbggAAABopEwLDf/xH/+hyZMnKzMzU3/961+Vk5OjgIAA9ezZU4899pgmT57s8FWrS5cuVc+ePbVs2TLt2rVLPj4+Gjp0qObNm6f777/fhDsBAAAAGjfTQkPXrl21YsWK2+obHx+v+Ph45xYEAAAAwCG3XAgNAAAAwH0QGgAAAAAYIjQAAAAAMERoAAAAAGCI0AAAAADAEKEBAAAAgCFCAwAAAABDpu3TAAAAADQ2trw8l4zj5eMjb39/l4wlERoAAAAAp0lu3941A1ks6pOQoNjb3Cy5tpieBAAAANwmLx8fyWJx/cB2uw6mpKi0qMglwxEaAAAAgNvk7e+vPgkJpgWHspISlwzF9CQAAACgDmJXrFBMUpJLfsDb8vJcNwXqJoQGAAAAoI68/f1dujDZ1ZieBAAAAMAQoQEAAACAIUIDAAAAAEOEBgAAAACGWAgNAEAjUlpU5LI3uADwHIQGAAAaiW1TpuhgSopkt5tdCoBGhulJAAA0AqVFReYFBovlxq64ABotQgMAAI1AWUmJaYGhT0JCo34/PQCmJwEA0ChNO3tWfkFB9T6Ol48PgQHwAIQGAAAaIb+gIPlZrWaXAaCRYHoSAAAAAEOEBgAAAACGTAsNRUVF2rRpkyZOnKguXbrIz89PAQEBioiI0IIFC1RQUFClz/z582WxWKr9mzNnjgl3AgAAADRupq1pWLdunZ599llJUteuXfXoo4/q6tWrSk9P1x/+8AetX79en332mVq1alWl74ABA9SxY8cq7b179673ugEAqA02WwPQGJgWGry9vfXcc89p+vTp6tq1a0X7pUuXFBsbq6+++krTp0/XunXrqvSdNGmS4uPjXVgtAAC1x2ZrABoL06YnjR8/XitXrqwUGCQpNDRUy5cvlyRt2LBBJS74rzMAADgbm60BaEzcciF0RESEJKm4uFiXL182uRoAAGqPzdYANCZuuU/DDz/8IOnGFKbg4OAqx/fu3asjR47IZrMpLCxMw4cPZz0DAMCtsdkagIbMLUNDcnKyJGnYsGHy9fWtcvy9996r9HnevHkaM2aM1qxZo8DAQJfUCABAbbDZGoCGzO1Cw/bt27V69Wp5e3srMTGx0rGOHTsqKSlJw4cPV7t27ZSTk6PPP/9cs2bNUlpamsrKyrRx48YajdOtWzeH7adPn1Z4eHid7wMAAABoLNwqNJw4cULjxo2T3W7XG2+8UbG2ody4ceMqfQ4ICNCTTz6pwYMHq3v37tq0aZMyMjLUr18/V5YNAAAANGpuExouXryoYcOGKScnRzNmzNC0adNq3Dc0NFQTJkxQUlKSduzYUaPQcOzYMYft1T2BAAAAADyVW7w96cqVK4qJiVFWVlbFj//a6tSpk6Qb+zwAAAAAcB7TQ0NBQYGGDx+u48ePKy4uTm+99ZYsFkutr5OTkyPpxpQlAAAAAM5jamgoLi7WqFGj9OWXX+rhhx/W+vXr5eXlVevr2O32igXQkZGRzi4TAAAA8GimhYaysjI98cQT2rt3rwYNGqQNGzbIx2D3yuzsbC1fvlz5+fmV2gsKCjR58mRlZmaqdevWiouLq+/SAQAAAI9i2kLoZcuWVTwdCAkJ0ZQpUxyel5SUpJCQEBUWFmrq1KmaM2eOoqKiFBoaquzsbB0+fFiXL1+W1WpVamqq/NnQBgAAAHAq00JD+RoESYZ7K8yfP18hISFq0aKFZs+erYyMDJ06dUrp6eny8vJShw4dFB8fr5deeklt2rRxRekAAACARzEtNMyfP1/z58+v8fnNmjXTokWL6q8gAAAAoIGx5eXV+Fz79euyNLm91Qlus08DAAAAgNpJbt++xuf+U1LLe++9rXFMf+UqAAAAgJrx8vGRbmN7groiNAAAAAANhLe/v/okJLg8ODA9CQAAAGhAYlesUExSkspKSmrV78P+/W97TEIDAAAA0MB4+/vLu5ZbDdzuImiJ6UkAAAAAboHQAAAAAMAQoQEAAACAIUIDAAAAAEMshAYAeJTSoqJav3HkdtRml1YAcHeEBgCAx9g2ZYoOpqRIdrvZpQBAg8L0JACARygtKjIvMFgsN3ZxBYAGitAAAPAIZSUlpgWGPgkJtX6fOgC4E6YnAQA80rSzZ+UXFFTv43j5+BAYADR4hAYAgEfyCwqSn9VqdhkA0CAwPQkAAACAIUIDAAAAAEOEBgAAAACGCA0AAAAADBEaAAAAABgiNAAAAAAwRGgAAAAAYIjQAAAAAMAQoQEAAACAIUIDAAAAAEOEBgAAAACG7jC7gNtx7do1vfbaa/rggw907tw5BQcHa9iwYUpMTFSbNm3MLg8AUAulRUUqKymp93FseXn1PgYANFYNLjTYbDYNGTJEGRkZCg0N1ahRo3T27Fm988472rp1qzIyMnT33XebXSYAoAa2TZmigykpkt1udikAAAMNbnrSwoULlZGRof79++vUqVP68MMPlZmZqcWLFys7O1vPPPOM2SUCAGqgtKjIvMBgscjLx8f14wJAA9WgQkNJSYmWLVsmSVq+fLkCAwMrjs2YMUM9evTQZ599pkOHDplVIgCghspKSkwLDH0SEuTt7+/6sQGggWpQ05P279+vvLw8hYeHq1evXlWOjx07VkePHtWWLVvUu3dvEyoEANyuaWfPyi8oqN7H8fLxITAAQC01qNDw9ddfS5IiIyMdHi9vP3r0aJ3GsV+/Lltubp2uAQAw9suFyX5BQfKzWs0pBgBgqEGFhnPnzkmSwsLCHB4vb8/Kyrrltbp16+aw/cSJE7Jcv662d955m1UCAG7Hh/37y9KkQc2aBUz1r9LSSp8ffOgh3eHtbVI1aAhOnz4t79v8jjSo0FBQUCBJ8q/msXJAQIAkKT8//7bHsFgsahoYqJZt2972NRqj06dPS5LCw8NNrgQNAd8X1BTfFdQG35fK7vD21r333mt2GW6J74pj3t7eFb+Xa6tBhQZnOnbsmNklNCjlT2b43w01wfcFNcV3BbXB9wU1xXfF+RrUc+DytyUVFRU5PF5YWChJatasmctqAgAAABq7BhUa2v48ZejChQsOj5e3t2vXzmU1AQAAAI1dgwoNERERkqTDhw87PF7e3qNHD5fVBAAAADR2DSo0DBgwQEFBQTp9+rSOHDlS5XhqaqokaeTIkS6uDAAAAGi8GlRo8PHx0dSpUyVJzz//fMUaBklasmSJjh49qgcffJCN3QAAAAAnstjtdrvZRdSGzWZTdHS0MjMzFRoaqkGDBikrK0uZmZlq2bKlMjIydPfdd5tdJgAAANBoNLjQIEnXrl3Ta6+9pnXr1un8+fMKDg7WsGHDlJiYWO3GbwAAAABuT4MMDQAAAABcp0GtaQAAAADgeoQGAAAAAIYIDQAAAAAMERoAAAAAGCI0AAAAADBEaIDTJCYmymKxyGKx6P333ze7HLiJEydO6L/+6780ePBghYSEyNvbW61bt1ZcXJz27dtndnkwybVr1/T73/9enTt3lp+fn/7t3/5NzzzzjC5evGh2aXATRUVF2rRpkyZOnKguXbrIz89PAQEBioiI0IIFC1RQUGB2iXBjly9fVqtWrWSxWNSxY0ezy2kUeOUqnOLkyZOKiIhQSUmJ7Ha73nvvPY0bN87ssuAGwsLCdPHiRQUGBqpfv34KDg7W8ePH9e2338pisWjJkiWaPn262WXChWw2mwYPHqyMjIyKTTrPnj2rL7/8kk06UWHVqlV69tlnJUldu3bVfffdp6tXryo9PV35+fm655579Nlnn6lVq1YmVwp3FB8fr7Vr18putys8PFzff/+92SU1eDxpQJ3Z7XY999xzslqtevTRR80uB27mnnvu0dq1a5Wdna1du3bpww8/1DfffKOUlBTZ7Xa9/PLLOn78uNllwoUWLlyojIwM9e/fX6dOndKHH36ozMxMLV68WNnZ2XrmmWfMLhFuwNvbW88995yOHz+u48eP63/+53+0Y8cOnTx5Ur169dKJEyf4Dw5waM+ePXr33XcrQiecgycNqLO33npLzz33nN5//33t2rVL7777Lk8aUCMPP/ywdu7cqfnz5+sPf/iD2eXABUpKStSqVSvl5eXp8OHD6tWrV6XjEREROnr0qA4ePKjevXubVCXc3YEDB3T//ffL19dXV69elY+Pj9klwU1cu3ZN3bt3l6+vrzZt2qTOnTvzpMFJeNKAOvnHP/6hWbNm6T//8z/11FNPmV0OGpiIiAhJ0t///neTK4Gr7N+/X3l5eQoPD68SGCRp7NixkqQtW7a4ujQ0IOX/7iguLtbly5dNrgbu5P/9v/+nH374QSkpKfL29ja7nEaF0IA6efHFF3Xt2jX96U9/MrsUNEA//PCDJKl169YmVwJX+frrryVJkZGRDo+Xtx89etRlNaHhKf93h7e3t4KDg02uBu7i6NGjWrx4sSZMmKBBgwaZXU6jQ2jAbdu6das++ugj/fa3v1WnTp3MLgcNzOnTp7V161ZJYi2MBzl37pykGwvkHSlvz8rKcllNaHiSk5MlScOGDZOvr6/J1cAdXL9+XZMmTZLVatXrr79udjmN0h1mF4CGqaCgQFOmTFHnzp01e/Zss8tBA/Ovf/1L8fHxKi4u1uOPP87cdQ9S/ppMf39/h8cDAgIkSfn5+S6rCQ3L9u3btXr1anl7eysxMdHscuAm/vu//1t//etf9c4776hFixZml9MoERo81K9+9Sv97W9/q1WftWvXqm/fvpKk3/72tzp//rz27NnDf+Vp5Or6XXHkxRdf1BdffKG7775bK1asqGuJADzEiRMnNG7cONntdr3xxhsVaxvg2c6dO6e5c+fqwQcfVHx8vNnlNFqEBg915swZnTx5slZ9ioqKJElffvmlli9frqefflpDhgypj/LgRuryXXHk1Vdf1Z/+9Cfddddd+uSTT5iP7GECAwMlVf8dKSwslCQ1a9bMZTWhYbh48aKGDRumnJwczZgxQ9OmTTO7JLiJ559/XiUlJUpJSTG7lEaN0OChjhw5ctt9t2/fruvXr+ubb75RdHR0pWMnTpyQdOOH4apVqzRs2DDNmTOnDpXCbHX5rvxSSkqK5s6dq6CgIO3YsYNdOj1Q27ZtJUkXLlxweLy8vV27di6rCe7vypUriomJUVZWliZMmKCkpCSzS4Ib2bp1q6xWqxISEiq122w2STcCZ/nvlQ8++ICXb9wmQgNum9GPyRMnTujEiRNq3769y+qBe/vggw/0/PPPy9/fX9u2bVPPnj3NLgkmKJ9OcvjwYYfHy9t79Ojhsprg3goKCjR8+HAdP35ccXFxeuutt2SxWMwuC24mNzdXn332mcNjNput4lh5kEDtsbkbnCo+Pp7N3VDF9u3bNXr0aFksFm3ZskUxMTFmlwST3Ly521dffVUlPLK5G25WXFysESNGaO/evXr44Yf1v//7v2zkhho7e/asOnTowOZuTsIrVwHUq/3792vs2LGy2+368MMPCQwezsfHR1OnTpV0Yx5y+RoGSVqyZImOHj2qBx98kMAAlZWV6YknntDevXs1aNAgbdiwgcAAmIjpSQDq1SOPPKJr166pQ4cO2rRpkzZt2lTlnIEDB2rSpEmuLw6mmDt3rnbv3q309HR16tRJgwYNUlZWljIzM9WyZUu9/fbbZpcIN7Bs2TJt3LhRkhQSEqIpU6Y4PC8pKUkhISGuLA3wSIQGAPUqNzdX0o23MJ05c6ba8wgNnsPPz09/+ctf9Nprr2ndunXatGmTgoODFR8fr8TExGo3foNnycnJqfjn8vDgyPz58wkNgAuwpgEAAACAIdY0AAAAADBEaAAAAABgiNAAAAAAwBChAQAAAIAhQgMAAAAAQ4QGAAAAAIYIDQAAAAAMERoAAAAAGCI0AAAAADBEaAAAAABgiNAAAAAAwBChAQAAAIAhQgMAAAAAQ4QGAAAAAIYIDQAAAAAMERoAAAAAGCI0AAAAADBEaAAAAABg6P8D04hRE8/F6kUAAAAASUVORK5CYII=", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import jax\n", + "import optax\n", + "\n", + "opt = optax.adam(4e-2)\n", + "params = 0.0\n", + "state = opt.init(params)\n", + "target = 3.0\n", + "\n", + "for i in range(100):\n", + " lvalue, g = jax.value_and_grad(loss)(params, target, inputs)\n", + " updates, state = opt.update(g, state)\n", + " params = optax.apply_updates(params, updates)\n", + " if i % 10 == 0:\n", + " print(params, lvalue)\n", + "\n", + " hard_hist = np.histogram(params + inputs, bins=bins)[0]\n", + " hard_mean = np.sum(ctrs * hard_hist / len(inputs))\n", + " plt.step(ctrs, hard_hist, where=\"mid\", color=\"maroon\")\n", + " plt.xlim(-5, 5)\n", + " plt.ylim(0, 200)\n", + " plt.vlines(hard_mean, 0, 200, colors=\"maroon\")\n", + " plt.vlines(target, 0, 200, colors=\"k\")\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f65ffb2c", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "interpreter": { + "hash": "22d6333b89854cd01c2018f3ca2f5a59a2cde2765fbca789ff36cfad48ca629b" + }, + "kernelspec": { + "display_name": "Python 3.9.12 ('venv': venv)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/float.png b/examples/float.png new file mode 100644 index 0000000..3142f10 Binary files /dev/null and b/examples/float.png differ diff --git a/examples/requirements.txt b/examples/requirements.txt new file mode 100644 index 0000000..0b86a6d --- /dev/null +++ b/examples/requirements.txt @@ -0,0 +1,3 @@ +celluloid +git+http://github.com/scikit-hep/pyhf.git@make_difffable_model_ctor +plothelp diff --git a/examples/simple-analysis-optimisation.ipynb b/examples/simple-analysis-optimisation.ipynb new file mode 100644 index 0000000..49b1376 --- /dev/null +++ b/examples/simple-analysis-optimisation.ipynb @@ -0,0 +1,234 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import jax\n", + "import jax.numpy as jnp\n", + "import matplotlib.pyplot as plt\n", + "import optax\n", + "from jaxopt import OptaxSolver\n", + "import relaxed\n", + "from celluloid import Camera\n", + "from functools import partial\n", + "import matplotlib.lines as mlines\n", + "\n", + "# matplotlib settings\n", + "plt.rc(\"figure\", figsize=(6, 3), dpi=220, facecolor=\"w\")\n", + "plt.rc(\"legend\", fontsize=6)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Optimising a simple one-bin analysis with `relaxed`\n", + "\n", + "Let's define an analysis with a predicted number of signal and background events, with some uncertainty on the background estimate. We'll abstract the analysis configuration into a single parameter $\\phi$ like so:\n", + "\n", + "$$s = 15 + \\phi $$\n", + "$$b = 45 - 2 \\phi $$\n", + "$$\\sigma_b = 0.5 + 0.1*\\phi^2 $$\n", + "\n", + "Note that $s \\propto \\phi$ and $\\propto -2\\phi$, so increasing $\\phi$ corresponds to increasing the signal/backround ratio. However, our uncertainty scales like $\\phi^2$, so we're also going to compromise in our certainty of the background count as we do that. This kind of tradeoff between $s/b$ ratio and uncertainty is important for the discovery of a new signal, so we can't get away with optimising $s/b$ alone.\n", + "\n", + "To illustrate this, we'll plot the discovery significance for this model with and without uncertainty." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# model definition\n", + "def yields(phi, uncertainty=True):\n", + " s = 15 + phi\n", + " b = 45 - 2 * phi\n", + " db = (\n", + " 0.5 + 0.1 * phi**2 if uncertainty else jnp.zeros_like(phi) + 0.001\n", + " ) # small enough to be negligible\n", + " return jnp.asarray([s]), jnp.asarray([b]), jnp.asarray([db])\n", + "\n", + "\n", + "# our analysis pipeline, from phi to p-value\n", + "def pipeline(phi, return_yields=False, uncertainty=True):\n", + " y = yields(phi, uncertainty=uncertainty)\n", + " # use a dummy version of pyhf for simplicity + compatibility with jax\n", + " model = relaxed.dummy_pyhf.uncorrelated_background(*y)\n", + " nominal_pars = jnp.array([1.0, 1.0])\n", + " data = model.expected_data(nominal_pars) # we expect the nominal model\n", + " # do the hypothesis test (and fit model pars with gradient descent)\n", + " pvalue = relaxed.infer.hypotest(\n", + " 0.0, # value of mu for the alternative hypothesis\n", + " data,\n", + " model,\n", + " test_stat=\"q0\", # discovery significance test\n", + " lr=1e-3,\n", + " expected_pars=nominal_pars, # optionally providing MLE pars in advance\n", + " )\n", + " if return_yields:\n", + " return pvalue, y\n", + " else:\n", + " return pvalue\n", + "\n", + "\n", + "# calculate p-values for a range of phi values\n", + "phis = jnp.linspace(0, 10, 100)\n", + "\n", + "# with uncertainty\n", + "pipe = partial(pipeline, return_yields=True, uncertainty=True)\n", + "pvals, ys = jax.vmap(pipe)(phis) # map over phi grid\n", + "# without uncertainty\n", + "pipe_no_uncertainty = partial(pipeline, uncertainty=False)\n", + "pvals_no_uncertainty = jax.vmap(pipe_no_uncertainty)(phis)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig, axs = plt.subplots(2, 1, sharex=True)\n", + "axs[0].plot(phis, pvals, label=\"with uncertainty\", color=\"C2\")\n", + "axs[0].plot(phis, pvals_no_uncertainty, label=\"no uncertainty\", color=\"C4\")\n", + "axs[0].set_ylabel(\"$p$-value\")\n", + "# plot vertical dotted line at minimum of p-values + s/b\n", + "best_phi = phis[jnp.argmin(pvals)]\n", + "axs[0].axvline(x=best_phi, linestyle=\"dotted\", color=\"C2\", label=\"optimal p-value\")\n", + "axs[0].axvline(\n", + " x=phis[jnp.argmin(pvals_no_uncertainty)],\n", + " linestyle=\"dotted\",\n", + " color=\"C4\",\n", + " label=r\"optimal $s/b$\",\n", + ")\n", + "axs[0].legend(loc=\"upper left\", ncol=2)\n", + "s, b, db = ys\n", + "s, b, db = s.ravel(), b.ravel(), db.ravel() # everything is [[x]] for pyhf\n", + "axs[1].fill_between(phis, s + b, b, color=\"C9\", label=\"signal\")\n", + "axs[1].fill_between(phis, b, color=\"C1\", label=\"background\")\n", + "axs[1].fill_between(phis, b - db, b + db, facecolor=\"k\", alpha=0.2, label=r\"$\\sigma_b$\")\n", + "axs[1].set_xlabel(\"$\\phi$\")\n", + "axs[1].set_ylabel(\"yield\")\n", + "axs[1].legend(loc=\"lower left\")\n", + "plt.suptitle(\"Discovery p-values, with and without uncertainty\")\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using gradient descent, we can optimise this analysis in an uncertainty-aware way by directly optimising $\\phi$ for the lowest discovery p-value. Here's how you do that:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# The fast way!\n", + "# use the OptaxSolver wrapper from jaxopt to perform the minimisation\n", + "# set a couple of tolerance kwargs to make sure we don't get stuck\n", + "solver = OptaxSolver(pipeline, opt=optax.adam(1e-3), tol=1e-8, maxiter=10000)\n", + "pars = 9.0 # random init\n", + "result = solver.run(pars).params\n", + "print(\n", + " f\"our solution: phi={result:.5f}\\ntrue optimum: phi={phis[jnp.argmin(pvals)]:.5f}\\nbest s/b: phi=10\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# The longer way (but with plots)!\n", + "pipe = partial(pipeline, return_yields=True, uncertainty=True)\n", + "solver = OptaxSolver(pipe, opt=optax.adam(1e-1), has_aux=True)\n", + "pars = 9.0\n", + "state = solver.init_state(pars) # we're doing init, update steps instead of .run()\n", + "\n", + "plt.rc(\"figure\", figsize=(6, 3), dpi=220, facecolor=\"w\")\n", + "plt.rc(\"legend\", fontsize=8)\n", + "fig, axs = plt.subplots(1, 2)\n", + "cam = Camera(fig)\n", + "steps = 5 # increase me for better results! (100ish works well)\n", + "for i in range(steps):\n", + " pars, state = solver.update(pars, state)\n", + " s, b, db = state.aux\n", + " val = state.value\n", + " ax = axs[0]\n", + " cv = ax.plot(phis, pvals, c=\"C0\")\n", + " cvs = ax.plot(phis, pvals_no_uncertainty, c=\"green\")\n", + " current = ax.scatter(pars, val, c=\"C0\")\n", + " ax.set_xlabel(r\"analysis config $\\phi$\")\n", + " ax.set_ylabel(\"p-value\")\n", + " ax.legend(\n", + " [\n", + " mlines.Line2D([], [], color=\"C0\"),\n", + " mlines.Line2D([], [], color=\"green\"),\n", + " current,\n", + " ],\n", + " [\"p-value (with uncert)\", \"p-value (without uncert)\", \"current value\"],\n", + " frameon=False,\n", + " )\n", + " ax.text(0.3, 0.61, f\"step {i}\", transform=ax.transAxes)\n", + " ax = axs[1]\n", + " ax.set_ylim((0, 80))\n", + " b1 = ax.bar(0.5, b, facecolor=\"C1\", label=\"b\")\n", + " b2 = ax.bar(0.5, s, bottom=b, facecolor=\"C9\", label=\"s\")\n", + " b3 = ax.bar(\n", + " 0.5, db, bottom=b - db / 2, facecolor=\"k\", alpha=0.5, label=r\"$\\sigma_b$\"\n", + " )\n", + " ax.set_ylabel(\"yield\")\n", + " ax.set_xticks([])\n", + " ax.legend([b1, b2, b3], [\"b\", \"s\", r\"$\\sigma_b$\"], frameon=False)\n", + " plt.tight_layout()\n", + " cam.snap()\n", + "\n", + "ani = cam.animate()\n", + "# uncomment this to save and view the animation!\n", + "# ani.save(\"ap00.gif\", fps=9)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "interpreter": { + "hash": "22d6333b89854cd01c2018f3ca2f5a59a2cde2765fbca789ff36cfad48ca629b" + }, + "kernelspec": { + "display_name": "Python 3.9.12 ('venv': venv)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/withbinfloat.png b/examples/withbinfloat.png new file mode 100644 index 0000000..2142aff Binary files /dev/null and b/examples/withbinfloat.png differ diff --git a/examples/withnobinfloat.png b/examples/withnobinfloat.png new file mode 100644 index 0000000..af2793a Binary files /dev/null and b/examples/withnobinfloat.png differ diff --git a/nbs/00_data.ipynb b/nbs/00_data.ipynb deleted file mode 100644 index 63881e8..0000000 --- a/nbs/00_data.ipynb +++ /dev/null @@ -1,182 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# default_exp data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# neos.data\n", - "\n", - "> Helper module to easily generate example data." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# export\n", - "import jax\n", - "import jax.numpy as jnp\n", - "\n", - "\n", - "def generate_blobs(\n", - " rng,\n", - " blobs,\n", - " NMC=500,\n", - " sig_mean=jnp.asarray([-1, 1]),\n", - " bup_mean=jnp.asarray([2.5, 2]),\n", - " bdown_mean=jnp.asarray([-2.5, -1.5]),\n", - " b_mean=jnp.asarray([1, -1]),\n", - "):\n", - " \"\"\"\n", - " Function that returns a callable to generate a set of 2D normally\n", - " distributed blobs, corresponding to signal, background, and background\n", - " uncertainty modes.\n", - "\n", - " Args:\n", - " rng: jax PRNG key (random seed).\n", - " blobs: Number of blobs to generate (3 or 4).\n", - " NMC: Number of 'monte carlo' samples to generate.\n", - " sig_mean: jax array of the mean of the signal distribution.\n", - " bup_mean: jax array of the mean of the 'up' background distribution.\n", - " bdown_mean: jax array of the mean of the 'up' background distribution.\n", - " b_mean: jax array of the mean of the nominal background distribution.\n", - " \"\"\"\n", - " if blobs == 3:\n", - "\n", - " def gen_blobs():\n", - " sig = jax.random.multivariate_normal(\n", - " rng, sig_mean, jnp.asarray([[1, 0], [0, 1]]), shape=(NMC,)\n", - " )\n", - " bkg_up = jax.random.multivariate_normal(\n", - " rng, bup_mean, jnp.asarray([[1, 0], [0, 1]]), shape=(NMC,)\n", - " )\n", - " bkg_down = jax.random.multivariate_normal(\n", - " rng, bdown_mean, jnp.asarray([[1, 0], [0, 1]]), shape=(NMC,)\n", - " )\n", - "\n", - " return sig, bkg_up, bkg_down\n", - "\n", - " elif blobs == 4:\n", - "\n", - " def gen_blobs():\n", - " sig = jax.random.multivariate_normal(\n", - " rng, sig_mean, jnp.asarray([[1, 0], [0, 1]]), shape=(NMC,)\n", - " )\n", - " bkg_up = jax.random.multivariate_normal(\n", - " rng, bup_mean, jnp.asarray([[1, 0], [0, 1]]), shape=(NMC,)\n", - " )\n", - " bkg_down = jax.random.multivariate_normal(\n", - " rng, bdown_mean, jnp.asarray([[1, 0], [0, 1]]), shape=(NMC,)\n", - " )\n", - " bkg_nom = jax.random.multivariate_normal(\n", - " rng, b_mean, jnp.asarray([[1, 0], [0, 1]]), shape=(NMC,)\n", - " )\n", - "\n", - " return sig, bkg_nom, bkg_up, bkg_down\n", - "\n", - " else:\n", - " assert False, (\n", - " f\"Unsupported number of blobs: {blobs}\"\n", - " \" (only using 3 or 4 blobs for these examples).\"\n", - " )\n", - "\n", - " return gen_blobs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Usage:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[(100, 2), (100, 2), (100, 2)]" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import jax\n", - "from jax.random import PRNGKey\n", - "\n", - "import neos\n", - "from neos.data import generate_blobs\n", - "\n", - "# initialize generator, then call for data\n", - "data_gen = generate_blobs(rng=PRNGKey(2), blobs=3, NMC=100)\n", - "data = data_gen()\n", - "\n", - "[x.shape for x in data]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Same for 4 blobs, but half the number of samples:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[(50, 2), (50, 2), (50, 2), (50, 2)]" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# initialize generator, then call for data\n", - "data_gen = generate_blobs(rng=PRNGKey(2), blobs=4, NMC=50)\n", - "data = data_gen()\n", - "\n", - "[x.shape for x in data]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/nbs/02_makers.ipynb b/nbs/02_makers.ipynb deleted file mode 100644 index 5180aea..0000000 --- a/nbs/02_makers.ipynb +++ /dev/null @@ -1,731 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# default_exp makers" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# neos.makers\n", - "\n", - "> Functions that define the workflow from parametric observable --> statistical model." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This module contains example workflows to go from the output of a neural network to a differentiable histogram, and to then use that as a basis for statistical modelling via the [HistFactory likelihood specification](https://scikit-hep.org/pyhf/intro.html#histfactory).\n", - "\n", - "These functions are designed to be composed such that a final metric (e.g. expected p-value) is explicitly made a function of the parameters of the neural network. You can see this behaviour through the nested function design; one can specify all other hyperparameters ahead of time when initializing the functions, and the nn weights don't have to be specified until the inner function is called. Keep reading for examples!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## differentiable histograms from neural networks" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# export\n", - "from functools import partial\n", - "\n", - "import jax\n", - "import jax.numpy as jnp\n", - "import numpy as np\n", - "\n", - "from relaxed import hist_kde as hist" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# export\n", - "def hists_from_nn(\n", - " data_generator,\n", - " predict,\n", - " hpar_dict,\n", - " method=\"softmax\",\n", - " LUMI=10,\n", - " sig_scale=2,\n", - " bkg_scale=10,\n", - " reflect_infinities=False,\n", - "):\n", - " \"\"\"Initialize a function `hist_maker` that returns a 'soft' histogram based\n", - " on a neural network with a softmax output. Choose which example problem to\n", - " try by setting the `example` argument.\n", - "\n", - " Args:\n", - " data_generator: Callable that returns generated data (in jax array\n", - " format).\n", - "\n", - " predict: Decision function for a parameterized observable, e.g. neural\n", - " network.\n", - "\n", - " method: A string to specify the method to use for constructing soft\n", - " histograms. Either \"softmax\" or \"kde\".\n", - "\n", - " LUMI: 'Luminosity' scaling factor for the yields.\n", - "\n", - " sig_scale: Individual scaling factor for the signal yields.\n", - "\n", - " bkg_scale: Individual scaling factor for the signal yields.\n", - "\n", - " Returns:\n", - " hist_maker: A callable function that takes the parameters of the\n", - " observable (and optional hyperpars), then constructs signal,\n", - " background, and background uncertainty yields.\n", - " \"\"\"\n", - "\n", - " data = data_generator()\n", - "\n", - " if len(data) == 3:\n", - " if method == \"softmax\":\n", - "\n", - " def hist_maker(hm_params):\n", - " \"\"\"Uses the nn decision function `predict` to form histograms\n", - " from signal and background data, all drawn from multivariate\n", - " normal distributions with different means. Two background\n", - " distributions are sampled from, which is meant to mimic the\n", - " situation in particle physics where one has a 'nominal'\n", - " prediction for a nuisance parameter (taken here as the mean of\n", - " two modes) and then alternate values (e.g. from varying up/down\n", - " by one standard deviation), which then modifies the background\n", - " pdf. Here, we take that effect to be a shift of the mean of the\n", - " distribution. The value for the background histogram is then\n", - " the mean of the resulting counts of the two modes, and the\n", - " uncertainty can be quantified through the count standard\n", - " deviation.\n", - "\n", - " Arguments:\n", - " hm_params: a list containing:\n", - " nn: jax array of observable parameters.\n", - " \"\"\"\n", - " nn = hm_params\n", - " s, b_up, b_down = data\n", - " NMC = len(s)\n", - " s_hist = predict(nn, s).sum(axis=0) * sig_scale / NMC * LUMI\n", - "\n", - " b_hists = [\n", - " predict(nn, b_up).sum(axis=0) * bkg_scale / NMC * LUMI,\n", - " predict(nn, b_down).sum(axis=0) * bkg_scale / NMC * LUMI,\n", - " ]\n", - "\n", - " b_mean = jnp.mean(jnp.asarray(b_hists), axis=0)\n", - " b_unc = jnp.std(jnp.asarray(b_hists), axis=0)\n", - "\n", - " return s_hist, b_mean, b_unc\n", - "\n", - " elif method == \"kde\":\n", - "\n", - " def hist_maker(hm_params):\n", - " \"\"\"Uses the nn decision function `predict` to form histograms\n", - " from signal and background data using a kde, all drawn from\n", - " multivariate normal distributions with different means. Two\n", - " background distributions are sampled from, which is meant to\n", - " mimic the situation in particle physics where one has a\n", - " 'nominal' prediction for a nuisance parameter (taken here as\n", - " the mean of two modes) and then alternate values (e.g. from\n", - " varying up/down by one standard deviation), which then modifies\n", - " the background pdf. Here, we take that effect to be a shift of\n", - " the mean of the distribution. The value for the background\n", - " histogram is then the mean of the resulting counts of the two\n", - " modes, and the uncertainty can be quantified through the count\n", - " standard deviation.\n", - "\n", - " Arguments:\n", - " hm_params: Array-like, consisting of:\n", - " nn: jax array of observable parameters.\n", - "\n", - " bins: Array of bin edges, e.g. np.linspace(0,1,3)\n", - " defines a two-bin histogram with edges at 0, 0.5,\n", - " 1.\n", - "\n", - " bandwidth: Float that controls the 'smoothness' of the\n", - " kde. It's recommended to keep this fairly\n", - " similar to the bin width to avoid\n", - " oversmoothing the distribution. Going too low\n", - " will cause things to break, as the gradients\n", - " of the kde become unstable.\n", - " \"\"\"\n", - " nn = hm_params\n", - " bins, bandwidth = hpar_dict[\"bins\"], hpar_dict[\"bandwidth\"]\n", - " s, b_up, b_down = data\n", - " NMC = len(s)\n", - "\n", - " nn_s, nn_b_up, nn_b_down = (\n", - " predict(nn, s).ravel(),\n", - " predict(nn, b_up).ravel(),\n", - " predict(nn, b_down).ravel(),\n", - " )\n", - "\n", - " s_hist = (\n", - " hist(nn_s, bins, bandwidth, reflect_infinities=reflect_infinities)\n", - " * sig_scale\n", - " / NMC\n", - " * LUMI\n", - " )\n", - "\n", - " b_hists = jnp.asarray(\n", - " [\n", - " hist(\n", - " nn_b_up,\n", - " bins,\n", - " bandwidth,\n", - " reflect_infinities=reflect_infinities,\n", - " )\n", - " * bkg_scale\n", - " / NMC\n", - " * LUMI,\n", - " hist(\n", - " nn_b_down,\n", - " bins,\n", - " bandwidth,\n", - " reflect_infinities=reflect_infinities,\n", - " )\n", - " * bkg_scale\n", - " / NMC\n", - " * LUMI,\n", - " ]\n", - " )\n", - "\n", - " kde_counts = [\n", - " s_hist,\n", - " jnp.mean(b_hists, axis=0),\n", - " jnp.std(b_hists, axis=0),\n", - " ]\n", - "\n", - " return kde_counts\n", - "\n", - " else:\n", - " assert False, (\n", - " f\"Unsupported method: {method}\"\n", - " \" (only using kde or softmax for these examples).\"\n", - " )\n", - "\n", - " elif len(data) == 4:\n", - " if method == \"softmax\":\n", - "\n", - " def hist_maker(hm_params):\n", - " \"\"\"Uses the nn decision function `predict` to form histograms\n", - " from signal and background data, all drawn from multivariate\n", - " normal distributions with different means. Three background\n", - " distributions are sampled from, which mimics the situation in\n", - " particle physics where one has a 'nominal' prediction for a\n", - " nuisance parameter (taken here as the mean of two modes) and\n", - " then alternate values (e.g. from varying up/down by one\n", - " standard deviation), which then modifies the background pdf.\n", - " Here, we take that effect to be a shift of the mean of the\n", - " distribution. The HistFactory 'histosys' nusiance parameter\n", - " will then be constructed from the yields downstream by\n", - " interpolating between them using pyhf.\n", - "\n", - " Arguments:\n", - " hm_params: a list containing:\n", - " nn: jax array of observable parameters.\n", - "\n", - " Returns:\n", - " Set of 4 counts for signal, background, and up/down modes.\n", - " \"\"\"\n", - " nn = hm_params\n", - " s, b_nom, b_up, b_down = data\n", - " NMC = len(s)\n", - " counts = [\n", - " predict(nn, s).sum(axis=0) * sig_scale / NMC * LUMI,\n", - " predict(nn, b_nom).sum(axis=0) * bkg_scale / NMC * LUMI,\n", - " predict(nn, b_up).sum(axis=0) * bkg_scale / NMC * LUMI,\n", - " predict(nn, b_down).sum(axis=0) * bkg_scale / NMC * LUMI,\n", - " ]\n", - "\n", - " return counts\n", - "\n", - " elif method == \"kde\":\n", - "\n", - " def hist_maker(hm_params):\n", - " \"\"\"Uses the nn decision function `predict` to form histograms\n", - " from signal and background data, all drawn from multivariate\n", - " normal distributions with different means. Three background\n", - " distributions are sampled from, which mimics the situation in\n", - " particle physics where one has a 'nominal' prediction for a\n", - " nuisance parameter (taken here as the mean of two modes) and\n", - " then alternate values (e.g. from varying up/down by one\n", - " standard deviation), which then modifies the background pdf.\n", - " Here, we take that effect to be a shift of the mean of the\n", - " distribution. The HistFactory 'histosys' nusiance parameter\n", - " will then be constructed from the yields downstream by\n", - " interpolating between them using pyhf.\n", - "\n", - " Arguments:\n", - " hm_params: Array-like, consisting of:\n", - " nn: jax array of observable parameters.\n", - "\n", - " bins: Array of bin edges, e.g. np.linspace(0,1,3)\n", - " defines a two-bin histogram with edges at 0, 0.5,\n", - " 1.\n", - "\n", - " bandwidth: Float that controls the 'smoothness' of the\n", - " kde. It's recommended to keep this fairly\n", - " similar to the bin width to avoid\n", - " oversmoothing the distribution. Going too low\n", - " will cause things to break, as the gradients\n", - " of the kde become unstable.\n", - "\n", - " Returns:\n", - " Set of 4 counts for signal, background, and up/down modes.\n", - " \"\"\"\n", - " nn = hm_params\n", - " bins, bandwidth = hpar_dict[\"bins\"], hpar_dict[\"bandwidth\"]\n", - " s, b_nom, b_up, b_down = data\n", - " NMC = len(s)\n", - "\n", - " nn_s, nn_b_nom, nn_b_up, nn_b_down = (\n", - " predict(nn, s).ravel(),\n", - " predict(nn, b_nom).ravel(),\n", - " predict(nn, b_up).ravel(),\n", - " predict(nn, b_down).ravel(),\n", - " )\n", - "\n", - " kde_counts = [\n", - " hist(nn_s, bins, bandwidth, reflect_infinities=reflect_infinities)\n", - " * sig_scale\n", - " / NMC\n", - " * LUMI,\n", - " hist(\n", - " nn_b_nom, bins, bandwidth, reflect_infinities=reflect_infinities\n", - " )\n", - " * bkg_scale\n", - " / NMC\n", - " * LUMI,\n", - " hist(\n", - " nn_b_up, bins, bandwidth, reflect_infinities=reflect_infinities\n", - " )\n", - " * bkg_scale\n", - " / NMC\n", - " * LUMI,\n", - " hist(\n", - " nn_b_down,\n", - " bins,\n", - " bandwidth,\n", - " reflect_infinities=reflect_infinities,\n", - " )\n", - " * bkg_scale\n", - " / NMC\n", - " * LUMI,\n", - " ]\n", - "\n", - " return [k + 1e-8 for k in kde_counts]\n", - "\n", - " else:\n", - " assert False, (\n", - " f\"Unsupported method: {method}\"\n", - " \" (only using kde or softmax for these examples).\"\n", - " )\n", - " else:\n", - " assert False, (\n", - " f\"Unsupported number of blobs: {blobs}\"\n", - " \" (only using 3 or 4 blobs for these examples).\"\n", - " )\n", - "\n", - " return hist_maker" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Usage:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Begin by instantiating `hists_from_nn` with a function that generates a 3 or 4-tuple of data (we have `generate_blobs` for this!), and a neural network `predict` method (takes inputs & weights, returns output)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import jax\n", - "import jax.numpy as jnp\n", - "from jax.random import PRNGKey\n", - "from jax.experimental import stax\n", - "\n", - "import neos\n", - "from neos.makers import hists_from_nn\n", - "from neos.data import generate_blobs\n", - "\n", - "# data generator\n", - "gen_data = generate_blobs(rng=PRNGKey(1), blobs=4)\n", - "\n", - "# nn\n", - "init_random_params, predict = stax.serial(\n", - " stax.Dense(1024), stax.Relu, stax.Dense(1), stax.Sigmoid\n", - ")\n", - "\n", - "hist_maker = hists_from_nn(\n", - " gen_data,\n", - " predict,\n", - " method=\"kde\",\n", - " hpar_dict=dict(bandwidth=0.5, bins=jnp.linspace(0, 1, 3)),\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, when we initialize our neural network's weights and pass them to `hist_maker` along with some hyperparameters for the histogram (binning, bandwidth), we should get back a set of event yields:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[DeviceArray([6.76080181, 6.8832221 ], dtype=float64),\n", - " DeviceArray([34.14177765, 34.12072566], dtype=float64),\n", - " DeviceArray([35.10574108, 33.04116608], dtype=float64),\n", - " DeviceArray([32.32513054, 35.63212448], dtype=float64)]" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "_, network = init_random_params(jax.random.PRNGKey(13), (-1, 2))\n", - "\n", - "hist_maker(network)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## statistical models" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# export\n", - "\n", - "import pyhf\n", - "\n", - "jax_backend = pyhf.tensor.jax_backend(precision=\"64b\")\n", - "pyhf.set_backend(jax_backend)\n", - "\n", - "from neos.models import hepdata_like" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# export\n", - "def hepdata_like_from_hists(histogram_maker):\n", - " \"\"\"Returns a function that constructs a typical 'hepdata-like' statistical\n", - " model with signal, background, and background uncertainty yields when\n", - " evaluated at the parameters of the observable.\n", - "\n", - " Args:\n", - " histogram_maker: A function that, when called, returns a secondary function\n", - " that takes the observable's parameters as argument, and returns yields.\n", - "\n", - " Returns:\n", - " nn_model_maker: A function that returns a Model object (either from\n", - " `neos.models` or from `pyhf`) when evaluated at the observable's parameters,\n", - " along with the background-only parameters for use in downstream inference.\n", - " \"\"\"\n", - "\n", - " def nn_model_maker(hm_params):\n", - " s, b, db = histogram_maker(hm_params)\n", - " m = hepdata_like(s, b, db) # neos 'pyhf' model\n", - " nompars = m.config.suggested_init()\n", - " bonlypars = jnp.asarray([x for x in nompars])\n", - " bonlypars = jax.ops.index_update(bonlypars, m.config.poi_index, 0.0)\n", - " return m, bonlypars\n", - "\n", - " return nn_model_maker" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Usage:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# define a hist_maker as above\n", - "\n", - "import jax\n", - "import jax.numpy as jnp\n", - "from jax.random import PRNGKey\n", - "from jax.experimental import stax\n", - "\n", - "import neos\n", - "from neos.makers import hists_from_nn, hepdata_like_from_hists\n", - "from neos.data import generate_blobs\n", - "\n", - "# data generator, three blobs only for this model\n", - "gen_data = generate_blobs(rng=PRNGKey(1), blobs=3)\n", - "\n", - "# nn\n", - "init_random_params, predict = stax.serial(\n", - " stax.Dense(1024), stax.Relu, stax.Dense(1), stax.Sigmoid\n", - ")\n", - "\n", - "hist_maker = hists_from_nn(\n", - " gen_data,\n", - " predict,\n", - " method=\"kde\",\n", - " hpar_dict=dict(bandwidth=0.5, bins=jnp.linspace(0, 1, 3)),\n", - ")\n", - "\n", - "# then use this to define your model:\n", - "model = hepdata_like_from_hists(hist_maker)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Similar to above, we can get output at this stage by initializing the neural network. `hepdata_like_from_hists` will return a `Model` object with callable `logpdf` method, as well as the model parameters in the background-only scenario for convenience. See [this link](https://scikit-hep.org/pyhf/_generated/pyhf.simplemodels.hepdata_like.html) for more about the type of model being used here, as well as the rest of the `pyhf` docs for added physics context." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "DeviceArray([-1338.66123891], dtype=float64)" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "_, network = init_random_params(jax.random.PRNGKey(13), (-1, 2))\n", - "\n", - "m, bkg_only_pars = model(network)\n", - "m.logpdf(bkg_only_pars, data=[1, 1])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# export\n", - "import sys\n", - "from unittest.mock import patch\n", - "\n", - "jax_backend = pyhf.tensor.jax_backend(precision=\"64b\")\n", - "pyhf.set_backend(jax_backend)\n", - "\n", - "\n", - "def histosys_model_from_hists(histogram_maker):\n", - " \"\"\"Returns a function that constructs a HEP statistical model using a\n", - " 'histosys' uncertainty for the background (nominal background, up and down\n", - " systematic variations) when evaluated at the parameters of the observable.\n", - "\n", - " Args:\n", - " histogram_maker: A function that, when called, returns a secondary function\n", - " that takes the observable's parameters as argument, and returns yields.\n", - "\n", - " Returns:\n", - " nn_model_maker: A function that returns a `pyhf.Model` object when\n", - " evaluated at the observable's parameters (nn weights), along with the\n", - " background-only parameters for use in downstream inference.\n", - " \"\"\"\n", - "\n", - " @patch(\"pyhf.default_backend\", new=jax_backend)\n", - " @patch.object(\n", - " sys.modules[\"pyhf.interpolators.code0\"], \"default_backend\", new=jax_backend\n", - " )\n", - " @patch.object(\n", - " sys.modules[\"pyhf.interpolators.code1\"], \"default_backend\", new=jax_backend\n", - " )\n", - " @patch.object(\n", - " sys.modules[\"pyhf.interpolators.code2\"], \"default_backend\", new=jax_backend\n", - " )\n", - " @patch.object(\n", - " sys.modules[\"pyhf.interpolators.code4\"], \"default_backend\", new=jax_backend\n", - " )\n", - " @patch.object(\n", - " sys.modules[\"pyhf.interpolators.code4p\"], \"default_backend\", new=jax_backend\n", - " )\n", - " @patch.object(\n", - " sys.modules[\"pyhf.modifiers.shapefactor\"], \"default_backend\", new=jax_backend\n", - " )\n", - " @patch.object(\n", - " sys.modules[\"pyhf.modifiers.shapesys\"], \"default_backend\", new=jax_backend\n", - " )\n", - " @patch.object(\n", - " sys.modules[\"pyhf.modifiers.staterror\"], \"default_backend\", new=jax_backend\n", - " )\n", - " def from_spec(yields):\n", - "\n", - " s, b, bup, bdown = yields\n", - "\n", - " spec = {\n", - " \"channels\": [\n", - " {\n", - " \"name\": \"nn\",\n", - " \"samples\": [\n", - " {\n", - " \"name\": \"signal\",\n", - " \"data\": s,\n", - " \"modifiers\": [\n", - " {\"name\": \"mu\", \"type\": \"normfactor\", \"data\": None}\n", - " ],\n", - " },\n", - " {\n", - " \"name\": \"bkg\",\n", - " \"data\": b,\n", - " \"modifiers\": [\n", - " {\n", - " \"name\": \"nn_histosys\",\n", - " \"type\": \"histosys\",\n", - " \"data\": {\n", - " \"lo_data\": bdown,\n", - " \"hi_data\": bup,\n", - " },\n", - " }\n", - " ],\n", - " },\n", - " ],\n", - " },\n", - " ],\n", - " }\n", - "\n", - " return pyhf.Model(spec)\n", - "\n", - " def nn_model_maker(hm_params):\n", - " yields = histogram_maker(hm_params)\n", - " m = from_spec(yields)\n", - " nompars = m.config.suggested_init()\n", - " bonlypars = jnp.asarray([x for x in nompars])\n", - " bonlypars = jax.ops.index_update(bonlypars, m.config.poi_index, 0.0)\n", - " return m, bonlypars\n", - "\n", - " return nn_model_maker" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Usage:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "DeviceArray([-62.62101506], dtype=float64)" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# define a hist_maker as above\n", - "\n", - "import jax\n", - "import jax.numpy as jnp\n", - "from jax.random import PRNGKey\n", - "from jax.experimental import stax\n", - "\n", - "import neos\n", - "from neos.makers import hists_from_nn, histosys_model_from_hists\n", - "from neos.data import generate_blobs\n", - "\n", - "# data generator, four blobs only for this model\n", - "gen_data = generate_blobs(rng=PRNGKey(1), blobs=4)\n", - "\n", - "# nn\n", - "init_random_params, predict = stax.serial(\n", - " stax.Dense(1024), stax.Relu, stax.Dense(1), stax.Sigmoid\n", - ")\n", - "\n", - "hyperpars = dict(bandwidth=0.5, bins=jnp.linspace(0, 1, 3))\n", - "\n", - "hist_maker = hists_from_nn(gen_data, predict, method=\"kde\", hpar_dict=hyperpars)\n", - "\n", - "# then use this to define your model:\n", - "model = histosys_model_from_hists(hist_maker)\n", - "\n", - "_, network = init_random_params(jax.random.PRNGKey(13), (-1, 2))\n", - "\n", - "\n", - "# instantiate model and eval logpdf\n", - "m, bkg_only_pars = model(network)\n", - "m.logpdf(bkg_only_pars, data=[1, 1, 1])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.9.1 64-bit ('3.9.1': pyenv)", - "name": "python3" - }, - "language_info": {} - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/nbs/99_models.ipynb b/nbs/99_models.ipynb deleted file mode 100644 index 5095d76..0000000 --- a/nbs/99_models.ipynb +++ /dev/null @@ -1,138 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# default_exp models" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# neos.models\n", - "\n", - ">This module implements a very lightweght version of pyhf-like model building. For now, there are some hard-coded numbers (bounds, init) that help with the three gaussian blobs demonstration." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# export\n", - "import jax\n", - "import jax.numpy as jnp\n", - "import pyhf\n", - "\n", - "pyhf.set_backend(\"jax\")\n", - "\n", - "# class-based\n", - "class _Config(object):\n", - " def __init__(self):\n", - " self.poi_index = 0\n", - " self.npars = 2\n", - "\n", - " def suggested_init(self):\n", - " return jnp.asarray([1.0, 1.0])\n", - "\n", - " def suggested_bounds(self):\n", - " return jnp.asarray([jnp.asarray([0.0, 10.0]), jnp.asarray([0.0, 10.0])])\n", - "\n", - "\n", - "class Model(object):\n", - " \"\"\"Dummy class to mimic the functionality of `pyhf.Model`.\"\"\"\n", - "\n", - " def __init__(self, spec):\n", - " self.sig, self.nominal, self.uncert = spec\n", - " self.factor = (self.nominal / self.uncert) ** 2\n", - " self.aux = 1.0 * self.factor\n", - " self.config = _Config()\n", - "\n", - " def expected_data(self, pars, include_auxdata=True):\n", - " mu, gamma = pars\n", - " expected_main = jnp.asarray([gamma * self.nominal + mu * self.sig])\n", - " aux_data = jnp.asarray([self.aux])\n", - " return jnp.concatenate([expected_main, aux_data])\n", - "\n", - " def logpdf(self, pars, data):\n", - " maindata, auxdata = data\n", - " main, _ = self.expected_data(pars)\n", - " _, gamma = pars\n", - " main = pyhf.probability.Poisson(main).log_prob(maindata)\n", - " constraint = pyhf.probability.Poisson(gamma * self.factor).log_prob(auxdata)\n", - " # sum log probs over bins\n", - " return jnp.asarray([jnp.sum(main + constraint, axis=0)])\n", - "\n", - "\n", - "def hepdata_like(signal_data, bkg_data, bkg_uncerts, batch_size=None):\n", - " \"\"\"Dummy class to mimic the functionality of `pyhf.simplemodels.hepdata_like`.\"\"\"\n", - " return Model([signal_data, bkg_data, bkg_uncerts])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Usage:\n", - "\n", - "Let's build an example model, and get gradients of the likelihood function with respect to the model parameters: " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(DeviceArray(-27.74804929, dtype=float64),\n", - " [DeviceArray(-22., dtype=float64), DeviceArray(-19., dtype=float64)])" - ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import jax\n", - "import jax.numpy as jnp\n", - "\n", - "import neos\n", - "from neos.models import hepdata_like\n", - "\n", - "# three-bin model example data\n", - "sig = jnp.asarray([20, 40, 3])\n", - "bkg = jnp.asarray([40, 20, 3])\n", - "uncert = jnp.asarray([3, 3, 3])\n", - "\n", - "# construct model\n", - "m = hepdata_like(sig, bkg, uncert)\n", - "d = m.expected_data([1.0, 1.0])\n", - "\n", - "# need scalar output (logpdf returns array w/ one element)\n", - "def logpdf_scalar(pars):\n", - " return m.logpdf(pars, d)[0]\n", - "\n", - "\n", - "# check we can get gradients!\n", - "jax.value_and_grad(logpdf_scalar)([2.0, 1.0])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/nbs/demo_2models.ipynb b/nbs/demo_2models.ipynb deleted file mode 100644 index 12c5e9c..0000000 --- a/nbs/demo_2models.ipynb +++ /dev/null @@ -1,529 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![](assets/2_model_demo.gif)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Optimizing two models at once " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "One might be interested in optimizing for two \"compteting\" models at the same time. Consider having 3 separate samples A, B, C and we'd be interesting in extracting the significance for two out of the three at the same time. Two models would be fitted, e.g one where A is signal and B & C are backgrounds and one where B is signal and A & C are backgrounds. This example shows how to optimize for both of them at the same time." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import time\n", - "\n", - "import jax\n", - "import jax.experimental.optimizers as optimizers\n", - "import jax.experimental.stax as stax\n", - "import jax.random\n", - "from jax.random import PRNGKey\n", - "import numpy as np\n", - "from functools import partial\n", - "\n", - "from neos import data, makers\n", - "\n", - "from relaxed import infer\n", - "\n", - "rng = PRNGKey(22)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def hists_from_nn_three_samples(\n", - " predict,\n", - " NMC=500,\n", - " s1_mean=[-2, 2],\n", - " s2_mean=[2, 2],\n", - " s3_mean=[0, -2],\n", - " LUMI=10,\n", - " sig_scale=1,\n", - " bkg_scale=1,\n", - " group=1,\n", - " real_z=False,\n", - "):\n", - " \"\"\"\n", - " Same as hists_from_nn_three_blobs, but parametrize grouping of signal and background for\n", - " three separatate samples\n", - " Args:\n", - " predict: Decision function for a parameterized observable. Assumed softmax here.\n", - "\n", - " Returns:\n", - " hist_maker: A callable function that takes the parameters of the observable,\n", - " then constructs signal, background, and background uncertainty yields.\n", - " \"\"\"\n", - "\n", - " def get_hists(network, s, bs):\n", - " NMC = len(s)\n", - " s_hist = predict(network, s).sum(axis=0) * sig_scale / NMC * LUMI\n", - "\n", - " b_hists = tuple(\n", - " [\n", - " predict(network, bs[0]).sum(axis=0) * sig_scale / NMC * LUMI,\n", - " predict(network, bs[1]).sum(axis=0) * bkg_scale / NMC * LUMI,\n", - " ]\n", - " )\n", - "\n", - " b_tot = jax.numpy.sum(jax.numpy.asarray(b_hists), axis=0)\n", - " b_unc = jax.numpy.sqrt(b_tot)\n", - " # append raw hists for signal and bkg as well\n", - " results = s_hist, b_tot, b_unc, s_hist, b_hists\n", - " return results\n", - "\n", - " def hist_maker():\n", - " sig1 = np.random.multivariate_normal(s1_mean, [[1, 0], [0, 1]], size=(NMC,))\n", - " sig2 = np.random.multivariate_normal(s2_mean, [[1, 0], [0, 1]], size=(NMC,))\n", - " bkg = np.random.multivariate_normal(s3_mean, [[1, 0], [0, 1]], size=(NMC,))\n", - "\n", - " def make(network):\n", - " if group == 1:\n", - " return get_hists(network, sig1, (sig2, bkg))\n", - " elif group == 2:\n", - " return get_hists(network, sig2, (sig1, bkg))\n", - " elif group == 3:\n", - " return get_hists(network, bkg, (sig1, sig2))\n", - " else:\n", - " raise UserWarning\n", - "\n", - " make.bkg = bkg\n", - " make.sig2 = sig2\n", - " make.sig1 = sig1\n", - " return make\n", - "\n", - " return hist_maker" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import pyhf\n", - "\n", - "pyhf.set_backend(pyhf.tensor.jax_backend())\n", - "\n", - "from neos import models\n", - "\n", - "\n", - "def nn_hepdata_like_w_hists(histogram_maker):\n", - " \"\"\"\n", - " Analogous function to `makers.nn_hepdata_like`, but modified to pass through\n", - " the additional info added in hists_from_nn_three_samples.\n", - " \"\"\"\n", - " hm = histogram_maker()\n", - "\n", - " def nn_model_maker(hpars):\n", - " network = hpars\n", - " s, b, db, _, _ = hm(network) # Changed here\n", - " m = models.hepdata_like(s, b, db) # neos model\n", - " nompars = m.config.suggested_init()\n", - " bonlypars = jax.numpy.asarray([x for x in nompars])\n", - " bonlypars = jax.ops.index_update(bonlypars, m.config.poi_index, 0.0)\n", - " return m, bonlypars\n", - "\n", - " nn_model_maker.hm = hm\n", - " return nn_model_maker" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Initialise network using `jax.experimental.stax`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "NOUT = 3\n", - "init_random_params, predict = stax.serial(\n", - " stax.Dense(1024),\n", - " stax.Relu,\n", - " stax.Dense(1024),\n", - " stax.Relu,\n", - " stax.Dense(NOUT),\n", - " stax.Softmax,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define hitsogram and model maker functions" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hmaker = hists_from_nn_three_samples(predict, group=1)\n", - "nnm = nn_hepdata_like_w_hists(hmaker)\n", - "\n", - "hmaker2 = hists_from_nn_three_samples(predict, group=2)\n", - "nnm2 = nn_hepdata_like_w_hists(hmaker2)\n", - "\n", - "loss1 = infer.make_hypotest(nnm, solver_kwargs=dict(pdf_transform=True))\n", - "loss2 = infer.make_hypotest(nnm2, solver_kwargs=dict(pdf_transform=True))\n", - "\n", - "# optimize the average significance!\n", - "loss = (\n", - " lambda params, test_mu: (\n", - " loss1(params, test_mu)[\"CLs\"] + loss2(params, test_mu)[\"CLs\"]\n", - " )\n", - " / 2\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Randomly initialise nn weights and check that we can get the gradient of the loss wrt nn params" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "DeviceArray(0.05143708, dtype=float32)" - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "_, network = init_random_params(jax.random.PRNGKey(2), (-1, 2))\n", - "\n", - "loss(network, 1.0)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "(DeviceArray([3.184768 , 3.3555813, 3.4596505], dtype=float32),\n DeviceArray([6.6250687, 6.9932375, 6.381694 ], dtype=float32),\n DeviceArray([2.573921 , 2.644473 , 2.5262015], dtype=float32),\n DeviceArray([3.184768 , 3.3555813, 3.4596505], dtype=float32),\n (DeviceArray([3.1510186, 3.7200375, 3.1289444], dtype=float32),\n DeviceArray([3.47405 , 3.2732 , 3.2527497], dtype=float32)))" - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "nnm.hm(network)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "a, b, c, d, e = nnm.hm(network)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define training loop!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# jit_loss = jax.jit(loss)\n", - "\n", - "opt_init, opt_update, opt_params = optimizers.adam(0.5e-3)\n", - "\n", - "\n", - "def train_network(N, cont=False, network=None):\n", - " if not cont:\n", - " _, network = init_random_params(jax.random.PRNGKey(4), (-1, 2))\n", - " if network is not None:\n", - " network = network\n", - " losses = []\n", - " cls_vals = []\n", - " state = opt_init(network)\n", - "\n", - " # parameter update function\n", - " # @jax.jit\n", - " def update_and_value(i, opt_state, mu, loss_choice):\n", - " net = opt_params(opt_state)\n", - " value, grad = jax.value_and_grad(loss_choice)(net, mu)\n", - " return opt_update(i, grad, state), value, net\n", - "\n", - " for i in range(N):\n", - " start_time = time.time()\n", - " loss_choice = loss\n", - " state, value, network = update_and_value(i, state, 1.0, loss_choice)\n", - " epoch_time = time.time() - start_time\n", - " losses.append(value)\n", - " metrics = {\"loss\": losses}\n", - " yield network, metrics, epoch_time" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plotting helper function for awesome animations :)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Choose colormap\n", - "import matplotlib.pylab as pl\n", - "from matplotlib.colors import ListedColormap\n", - "\n", - "\n", - "def to_transp(cmap):\n", - " # cmap = pl.cm.Reds_r\n", - " my_cmap = cmap(np.arange(cmap.N))\n", - " # my_cmap[:,-1] = np.geomspace(0.001, 1, cmap.N)\n", - " my_cmap[:, -1] = np.linspace(0, 0.7, cmap.N)\n", - " # my_cmap[:,-1] = np.ones(cmap.N)\n", - " return ListedColormap(my_cmap)\n", - "\n", - "\n", - "def plot(axarr, network, metrics, hm, hm2, maxN, ith):\n", - " xlim = (-5, 5)\n", - " ylim = (-5, 5)\n", - " g = np.mgrid[xlim[0] : xlim[1] : 101j, ylim[0] : ylim[1] : 101j]\n", - " levels = np.linspace(0, 1, 20)\n", - "\n", - " ax = axarr[0]\n", - " ax.contourf(\n", - " g[0],\n", - " g[1],\n", - " predict(network, np.moveaxis(g, 0, -1)).reshape(101, 101, NOUT)[:, :, 0],\n", - " levels=levels,\n", - " cmap=to_transp(pl.cm.Reds),\n", - " )\n", - " ax.contourf(\n", - " g[0],\n", - " g[1],\n", - " predict(network, np.moveaxis(g, 0, -1)).reshape(101, 101, NOUT)[:, :, 1],\n", - " levels=levels,\n", - " cmap=to_transp(pl.cm.Greens),\n", - " )\n", - " if NOUT > 2:\n", - " ax.contourf(\n", - " g[0],\n", - " g[1],\n", - " predict(network, np.moveaxis(g, 0, -1)).reshape(101, 101, 3)[:, :, 2],\n", - " levels=levels,\n", - " cmap=to_transp(pl.cm.Blues),\n", - " )\n", - "\n", - " # print(list(map(len, [hm.sig1[:, 0], hm.sig2[:, 0], hm.bkg[:, 0]])))\n", - " ax.scatter(hm.sig1[:, 0], hm.sig1[:, 1], alpha=0.25, c=\"C9\", label=\"sig1\")\n", - " ax.scatter(hm.sig2[:, 0], hm.sig2[:, 1], alpha=0.17, c=\"C8\", label=\"bkg2\")\n", - " ax.scatter(hm.bkg[:, 0], hm.bkg[:, 1], alpha=0.17, c=\"C1\", label=\"bkg2\")\n", - " ax.set_xlim(*xlim)\n", - " ax.set_ylim(*ylim)\n", - " ax.set_xlabel(\"x\")\n", - " ax.set_ylabel(\"y\")\n", - "\n", - " ax = axarr[1]\n", - " ax.axhline(0.05, c=\"slategray\", linestyle=\"--\")\n", - " ax.plot(metrics[\"loss\"][:ith], c=\"steelblue\", linewidth=2.0)\n", - "\n", - " ax.set_ylim(0, metrics[\"loss\"][0])\n", - " ax.set_xlim(0, maxN)\n", - " ax.set_xlabel(\"epoch\")\n", - " ax.set_ylabel(r\"$cl_s$\")\n", - "\n", - " ax = axarr[2]\n", - " s, b, db, sig, bs = hm(network)\n", - " ytop = np.max(np.sum([s, b], axis=0)) * 1.3\n", - " ax.bar(range(NOUT), sig, bottom=bs[0] + bs[1], color=\"C9\", label=\"Sample 1\")\n", - " ax.bar(range(NOUT), bs[0], bottom=bs[1], color=\"C8\", label=\"Sample 2\")\n", - " ax.bar(range(NOUT), bs[1], color=\"C1\", label=\"Sample 3\")\n", - " ax.set_ylabel(\"frequency\")\n", - " ax.set_xlabel(\"nn output\")\n", - " ax.set_title(\"Raw histograms\")\n", - " ax.set_ylim(0, ytop)\n", - " if ith == 0:\n", - " ax.legend()\n", - "\n", - " ax = axarr[3]\n", - " s, b, db, sig, bs = hm(network)\n", - " ax.bar(range(NOUT), s, bottom=b, color=\"#722620\", label=\"sig\", alpha=0.9)\n", - " ax.bar(range(NOUT), b, color=\"#F2BC94\", label=\"bkg\")\n", - " ax.bar(\n", - " range(NOUT),\n", - " db,\n", - " bottom=b - db / 2.0,\n", - " alpha=0.3,\n", - " color=\"black\",\n", - " label=\"bkg error\",\n", - " hatch=\"////\",\n", - " )\n", - " ax.set_ylabel(\"frequency\")\n", - " ax.set_xlabel(\"nn output\")\n", - " ax.set_title(\"Model 1: sig1 vs (sig2 + bkg)\")\n", - " ax.set_ylim(0, ytop)\n", - " if ith == 0:\n", - " ax.legend()\n", - "\n", - " ax = axarr[4]\n", - " s, b, db, sig, bs = hm2(network)\n", - " ax.bar(range(NOUT), s, bottom=b, color=\"#722620\", label=\"sig\")\n", - " ax.bar(range(NOUT), b, color=\"#F2BC94\", label=\"bkg\")\n", - " ax.bar(\n", - " range(NOUT),\n", - " db,\n", - " bottom=b - db / 2.0,\n", - " alpha=0.3,\n", - " color=\"black\",\n", - " label=\"bkg error\",\n", - " hatch=\"////\",\n", - " )\n", - " ax.set_ylabel(\"frequency\")\n", - " ax.set_xlabel(\"nn output\")\n", - " ax.set_title(\"Model 2: sig2 vs (sig1 + bkg)\")\n", - " ax.set_ylim(0, ytop)\n", - " if ith == 0:\n", - " ax.legend()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's run it!!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "epoch 0: CLs = 0.05124938488006592, took 7.84034276008606s\n", - "epoch 1: CLs = 0.038916826248168945, took 0.24336791038513184s\n", - "epoch 2: CLs = 0.02349996566772461, took 0.23299694061279297s\n", - "epoch 3: CLs = 0.011642754077911377, took 0.24342584609985352s\n", - "epoch 4: CLs = 0.005460619926452637, took 0.2316129207611084s\n", - "epoch 5: CLs = 0.002736389636993408, took 0.23945212364196777s\n", - "epoch 6: CLs = 0.0015284419059753418, took 0.292529821395874s\n", - "epoch 7: CLs = 0.0009472370147705078, took 0.22985506057739258s\n", - "epoch 8: CLs = 0.000640869140625, took 0.23697280883789062s\n", - "epoch 9: CLs = 0.0004658699035644531, took 0.2311398983001709s\n", - "epoch 10: CLs = 0.00035893917083740234, took 0.2465968132019043s\n", - "epoch 11: CLs = 0.00028961896896362305, took 0.23459291458129883s\n", - "epoch 12: CLs = 0.0002422928810119629, took 0.23319482803344727s\n", - "epoch 13: CLs = 0.00020873546600341797, took 0.2266685962677002s\n", - "epoch 14: CLs = 0.00018399953842163086, took 0.24457406997680664s\n", - "epoch 15: CLs = 0.0001652836799621582, took 0.22907018661499023s\n", - "epoch 16: CLs = 0.0001507401466369629, took 0.3017148971557617s\n", - "epoch 17: CLs = 0.0001392960548400879, took 0.22998595237731934s\n", - "epoch 18: CLs = 0.00013005733489990234, took 0.2310020923614502s\n", - "epoch 19: CLs = 0.00012248754501342773, took 0.22712182998657227s\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": "
" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "from matplotlib import pyplot as plt\n", - "from celluloid import Camera\n", - "from IPython.display import HTML\n", - "\n", - "plt.rcParams.update(\n", - " {\n", - " \"axes.labelsize\": 13,\n", - " \"axes.linewidth\": 1.2,\n", - " \"xtick.labelsize\": 13,\n", - " \"ytick.labelsize\": 13,\n", - " \"figure.figsize\": [12.0, 8.0],\n", - " \"font.size\": 13,\n", - " \"xtick.major.size\": 3,\n", - " \"ytick.major.size\": 3,\n", - " \"legend.fontsize\": 11,\n", - " }\n", - ")\n", - "\n", - "fig, axarr = plt.subplots(2, 3, dpi=120)\n", - "axarr = axarr.flatten()\n", - "# fig.set_size_inches(15, 10)\n", - "camera = Camera(fig)\n", - "\n", - "maxN = 20 # make me bigger for better results!\n", - "\n", - "animate = True # animations fail tests\n", - "\n", - "# Training\n", - "for i, (network, metrics, epoch_time) in enumerate(train_network(maxN)):\n", - " print(f\"epoch {i}:\", f'CLs = {metrics[\"loss\"][-1]}, took {epoch_time}s')\n", - " if animate:\n", - " plot(axarr, network, metrics, nnm.hm, nnm2.hm, maxN=maxN, ith=i)\n", - " plt.tight_layout()\n", - " camera.snap()\n", - "if animate:\n", - " camera.animate().save(\"animation.gif\", writer=\"imagemagick\", fps=10)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.8.3 ('venv': venv)", - "name": "python3" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/nbs/demo_kde_pyhf.ipynb b/nbs/demo_kde_pyhf.ipynb deleted file mode 100644 index 5c19e9f..0000000 --- a/nbs/demo_kde_pyhf.ipynb +++ /dev/null @@ -1,360 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# KDE demo, with histosys!\n", - "\n", - "> It works :)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![](assets/kde_pyhf_animation.gif)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "import time\n", - "\n", - "import jax\n", - "import jax.experimental.optimizers as optimizers\n", - "import jax.experimental.stax as stax\n", - "import jax.random\n", - "from jax.random import PRNGKey\n", - "import numpy as np\n", - "from functools import partial\n", - "\n", - "import pyhf\n", - "\n", - "pyhf.set_backend(\"jax\")\n", - "pyhf.default_backend = pyhf.tensor.jax_backend(precision=\"64b\")\n", - "\n", - "from neos import data, makers\n", - "from relaxed import infer\n", - "\n", - "rng = PRNGKey(22)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "# regression net\n", - "init_random_params, predict = stax.serial(\n", - " stax.Dense(1024),\n", - " stax.Relu,\n", - " stax.Dense(1024),\n", - " stax.Relu,\n", - " stax.Dense(1),\n", - " stax.Sigmoid,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Compose differentiable workflow" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "dgen = data.generate_blobs(rng, blobs=4)\n", - "\n", - "# Specify our hyperparameters ahead of time for the kde histograms\n", - "bins = np.linspace(0, 1, 4)\n", - "bandwidth = 0.27\n", - "reflect_infinite_bins = True\n", - "\n", - "hmaker = makers.hists_from_nn(\n", - " dgen,\n", - " predict,\n", - " hpar_dict=dict(bins=bins, bandwidth=bandwidth),\n", - " method=\"kde\",\n", - " reflect_infinities=reflect_infinite_bins,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "nnm = makers.histosys_model_from_hists(hmaker)\n", - "get_cls = infer.make_hypotest(nnm, solver_kwargs=dict(pdf_transform=True))\n", - "\n", - "# loss returns a list of metrics -- let's just index into one (CLs)\n", - "def loss(params, test_mu):\n", - " return get_cls(params, test_mu)[\"CLs\"]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Randomly initialise nn weights and check that we can get the gradient of the loss wrt nn params" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "(DeviceArray(0.05989214, dtype=float64),\n [(DeviceArray([[-2.6561793e-05, -1.3431838e-04, 3.7267394e-04, ...,\n -9.5937648e-05, -3.1907926e-04, -4.7556667e-05],\n [ 3.2410408e-05, 1.6153457e-04, -2.3639399e-04, ...,\n -7.6833248e-06, 3.2346524e-04, 2.8453616e-05]], dtype=float32),\n DeviceArray([-1.0775060e-06, 1.6448357e-05, 2.5383127e-04, ...,\n 9.4325784e-05, -2.0307447e-04, -1.4521212e-05], dtype=float32)),\n (),\n (DeviceArray([[ 2.0301204e-07, -2.2220850e-06, 6.1780779e-06, ...,\n -1.0296096e-07, 6.6260043e-07, 4.6643160e-07],\n [ 4.1513945e-07, 9.9888112e-08, 1.8419865e-05, ...,\n 4.3947058e-08, 6.2674635e-06, -1.1988274e-06],\n [-2.0467695e-08, -1.2231366e-05, 5.6882186e-08, ...,\n -6.0378164e-07, -1.1139725e-05, 3.0422871e-06],\n ...,\n [ 4.0854286e-07, -6.6176659e-07, 1.1947506e-05, ...,\n -2.9116174e-08, 3.6848719e-06, 7.2041793e-08],\n [-5.8339246e-08, -1.7854960e-05, 5.4534485e-07, ...,\n -9.0966802e-07, -1.6797023e-05, 4.3758305e-06],\n [ 4.5675144e-08, -3.7403470e-06, 5.2949540e-06, ...,\n -2.3437008e-07, -4.0581904e-06, 8.9615037e-07]], dtype=float32),\n DeviceArray([ 1.49559655e-05, -8.68027928e-05, 5.29851706e-04, ...,\n -3.46148317e-06, 5.94751364e-05, -9.33103820e-06], dtype=float32)),\n (),\n (DeviceArray([[ 3.7021862e-05],\n [-2.0765483e-04],\n [ 3.0189482e-04],\n ...,\n [-4.2103562e-05],\n [ 2.0076217e-04],\n [ 6.4033600e-05]], dtype=float32),\n DeviceArray([-5.677808e-06], dtype=float32)),\n ()])" - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "_, network = init_random_params(jax.random.PRNGKey(2), (-1, 2))\n", - "\n", - "# gradient wrt nn weights\n", - "jax.value_and_grad(loss)(network, test_mu=1.0)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define training loop!" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "opt_init, opt_update, opt_params = optimizers.adam(1e-3)\n", - "\n", - "\n", - "def train_network(N):\n", - " cls_vals = []\n", - " _, network = init_random_params(jax.random.PRNGKey(1), (-1, 2))\n", - " state = opt_init(network)\n", - " losses = []\n", - "\n", - " # parameter update function\n", - " # @jax.jit\n", - " def update_and_value(i, opt_state, mu):\n", - " net = opt_params(opt_state)\n", - " value, grad = jax.value_and_grad(loss)(net, mu)\n", - " return opt_update(i, grad, state), value, net\n", - "\n", - " for i in range(N):\n", - " start_time = time.time()\n", - " state, value, network = update_and_value(i, state, 1.0)\n", - " epoch_time = time.time() - start_time\n", - " losses.append(value)\n", - " metrics = {\"loss\": losses}\n", - "\n", - " yield network, metrics, epoch_time" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plotting helper function for awesome animations :)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "def plot(axarr, network, metrics, maxN):\n", - " ax = axarr[0]\n", - " g = np.mgrid[-5:5:101j, -5:5:101j]\n", - " levels = bins\n", - " ax.contourf(\n", - " g[0],\n", - " g[1],\n", - " predict(network, np.moveaxis(g, 0, -1)).reshape(101, 101, 1)[:, :, 0],\n", - " levels=levels,\n", - " cmap=\"binary\",\n", - " )\n", - " ax.contour(\n", - " g[0],\n", - " g[1],\n", - " predict(network, np.moveaxis(g, 0, -1)).reshape(101, 101, 1)[:, :, 0],\n", - " colors=\"w\",\n", - " levels=levels,\n", - " )\n", - " sig, bkg_nom, bkg_up, bkg_down = dgen()\n", - "\n", - " ax.scatter(sig[:, 0], sig[:, 1], alpha=0.3, c=\"C9\")\n", - " ax.scatter(bkg_up[:, 0], bkg_up[:, 1], alpha=0.1, c=\"C1\", marker=6)\n", - " ax.scatter(bkg_down[:, 0], bkg_down[:, 1], alpha=0.1, c=\"C1\", marker=7)\n", - " ax.scatter(bkg_nom[:, 0], bkg_nom[:, 1], alpha=0.3, c=\"C1\")\n", - "\n", - " ax.set_xlim(-5, 5)\n", - " ax.set_ylim(-5, 5)\n", - " ax.set_xlabel(\"x\")\n", - " ax.set_ylabel(\"y\")\n", - "\n", - " ax = axarr[1]\n", - " # ax.axhline(0.05, c=\"slategray\", linestyle=\"--\")\n", - " ax.plot(metrics[\"loss\"], c=\"steelblue\", linewidth=2.0)\n", - " ax.set_yscale(\"log\")\n", - " ax.set_ylim(1e-4, 0.06)\n", - " ax.set_xlim(0, maxN)\n", - " ax.set_xlabel(\"epoch\")\n", - " ax.set_ylabel(r\"$CL_s$\")\n", - "\n", - " ax = axarr[2]\n", - " s, b, bup, bdown = hmaker(network)\n", - "\n", - " bin_width = 1 / (len(bins) - 1)\n", - " centers = bins[:-1] + np.diff(bins) / 2.0\n", - "\n", - " ax.bar(centers, b, color=\"C1\", width=bin_width)\n", - " ax.bar(centers, s, bottom=b, color=\"C9\", width=bin_width)\n", - "\n", - " bunc = np.asarray([[x, y] if x > y else [y, x] for x, y in zip(bup, bdown)])\n", - " plot_unc = []\n", - " for unc, be in zip(bunc, b):\n", - " if all(unc > be):\n", - " plot_unc.append([max(unc), be])\n", - " elif all(unc < be):\n", - " plot_unc.append([be, min(unc)])\n", - " else:\n", - " plot_unc.append(unc)\n", - "\n", - " plot_unc = np.asarray(plot_unc)\n", - " b_up, b_down = plot_unc[:, 0], plot_unc[:, 1]\n", - "\n", - " ax.bar(\n", - " centers, bup - b, bottom=b, alpha=0.4, color=\"red\", width=bin_width, hatch=\"+\"\n", - " )\n", - " ax.bar(\n", - " centers,\n", - " b - bdown,\n", - " bottom=bdown,\n", - " alpha=0.4,\n", - " color=\"green\",\n", - " width=bin_width,\n", - " hatch=\"-\",\n", - " )\n", - "\n", - " ax.set_ylim(0, 120)\n", - " ax.set_ylabel(\"frequency\")\n", - " ax.set_xlabel(\"nn output\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's run it!!" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "# slow\n", - "import numpy as np\n", - "from IPython.display import HTML\n", - "\n", - "from matplotlib import pyplot as plt\n", - "\n", - "plt.rcParams.update(\n", - " {\n", - " \"axes.labelsize\": 13,\n", - " \"axes.linewidth\": 1.2,\n", - " \"xtick.labelsize\": 13,\n", - " \"ytick.labelsize\": 13,\n", - " \"figure.figsize\": [13.0, 4.0],\n", - " \"font.size\": 13,\n", - " \"xtick.major.size\": 3,\n", - " \"ytick.major.size\": 3,\n", - " \"legend.fontsize\": 11,\n", - " }\n", - ")\n", - "\n", - "\n", - "fig, axarr = plt.subplots(1, 3, dpi=120)\n", - "\n", - "maxN = 500 # make me bigger for better results!\n", - "\n", - "animate = True # animations fail tests...\n", - "\n", - "if animate:\n", - " from celluloid import Camera\n", - "\n", - " camera = Camera(fig)\n", - "\n", - "# Training\n", - "for i, (network, metrics, epoch_time) in enumerate(train_network(maxN)):\n", - " # print(f\"epoch {i}:\", f'CLs = {metrics[\"loss\"][-1]}, took {epoch_time}s')\n", - " if animate:\n", - " plot(axarr, network, metrics, maxN=maxN)\n", - " plt.tight_layout()\n", - " camera.snap()\n", - " # if i % 10 == 0:\n", - " # camera.animate().save(\"animation.gif\", writer=\"imagemagick\", fps=8)\n", - " # HTML(camera.animate().to_html5_video())\n", - " # break\n", - "if animate:\n", - " camera.animate().save(\"animationinfesoft.gif\", writer=\"imagemagick\", fps=15)" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "interpreter": { - "hash": "653c4ff722aa20b955619ff1fd61a2acdddc645229f21af3c6e92ae1ff77e485" - }, - "kernelspec": { - "display_name": "Python 3.8.3 ('venv': venv)", - "name": "python3" - }, - "language_info": { - "name": "python", - "version": "" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/nbs/demo_softmax.ipynb b/nbs/demo_softmax.ipynb deleted file mode 100644 index 900776d..0000000 --- a/nbs/demo_softmax.ipynb +++ /dev/null @@ -1,359 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# The simple 2-bin demo w/ sigmoid activation\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![](assets/training.gif)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import time\n", - "\n", - "import jax\n", - "import jax.experimental.optimizers as optimizers\n", - "import jax.experimental.stax as stax\n", - "import jax.random\n", - "from jax.random import PRNGKey\n", - "import numpy as np\n", - "from functools import partial\n", - "\n", - "import pyhf\n", - "\n", - "pyhf.set_backend(\"jax\")\n", - "pyhf.default_backend = pyhf.tensor.jax_backend(precision=\"64b\")\n", - "\n", - "from neos import data, makers\n", - "from relaxed import infer\n", - "\n", - "rng = PRNGKey(22)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Initialise network using `jax.experimental.stax`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "init_random_params, predict = stax.serial(\n", - " stax.Dense(1024),\n", - " stax.Relu,\n", - " stax.Dense(1024),\n", - " stax.Relu,\n", - " stax.Dense(2),\n", - " stax.Softmax,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dgen = data.generate_blobs(rng, blobs=3)\n", - "hmaker = makers.hists_from_nn(dgen, predict, method=\"softmax\", hpar_dict=None)\n", - "nnm = makers.hepdata_like_from_hists(hmaker)\n", - "get_cls = infer.make_hypotest(nnm, solver_kwargs=dict(pdf_transform=True))\n", - "\n", - "# get_cls returns a list of metrics -- let's just index into the first one (CLs)\n", - "def loss(params, test_mu):\n", - " return get_cls(params, test_mu)[\"CLs\"]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Randomly initialise nn weights and check that we can get the gradient of the loss wrt nn params" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "(DeviceArray(0.07398323, dtype=float64),\n [(DeviceArray([[-0.01394723, 0.00889332, -0.00755367, ..., -0.01692521,\n 0.00212111, -0.01970101],\n [-0.00611163, 0.0067339 , -0.00618019, ..., -0.01004537,\n 0.00136268, -0.01124781]], dtype=float32),\n DeviceArray([ 0.0052404 , 0.00297238, 0.00319649, ..., 0.00691849,\n -0.00113235, -0.00695833], dtype=float32)),\n (),\n (DeviceArray([[-5.5783303e-06, -4.1947313e-04, -6.2398164e-04, ...,\n -1.7087770e-03, 1.4778219e-05, -5.8028835e-04],\n [ 1.7306319e-04, -7.9908472e-07, 5.1939214e-04, ...,\n 4.1677014e-04, -1.1140389e-05, 9.1133501e-05],\n [ 1.3320147e-06, -1.7716239e-04, -1.8571694e-04, ...,\n -7.1186345e-04, 4.9324703e-06, -2.4198412e-04],\n ...,\n [-1.0420149e-05, -7.0664223e-04, -1.0708836e-03, ...,\n -2.8783218e-03, 2.5193000e-05, -9.7777299e-04],\n [ 3.6760284e-06, -3.1483595e-04, -3.7518013e-04, ...,\n -1.2577748e-03, 9.4429461e-06, -4.2865335e-04],\n [ 2.1981435e-04, 1.4891838e-06, 5.9667905e-04, ...,\n 6.1379891e-04, -1.2930058e-05, 8.6282926e-05]], dtype=float32),\n DeviceArray([ 2.1595680e-03, -3.3895427e-03, 1.5025048e-03, ...,\n -7.7358135e-03, -2.3924757e-05, -3.4947770e-03], dtype=float32)),\n (),\n (DeviceArray([[-0.0019205 , 0.0019205 ],\n [ 0.01192059, -0.01192059],\n [-0.00670956, 0.00670956],\n ...,\n [ 0.01208128, -0.01208128],\n [-0.00236412, 0.00236412],\n [ 0.00288121, -0.00288121]], dtype=float32),\n DeviceArray([-1.2484001e-05, 1.2484001e-05], dtype=float32)),\n ()])" - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "_, network = init_random_params(jax.random.PRNGKey(2), (-1, 2))\n", - "\n", - "# gradient wrt nn weights\n", - "jax.value_and_grad(loss)(network, test_mu=1.0)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define training loop!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "opt_init, opt_update, opt_params = optimizers.adam(1e-3)\n", - "\n", - "\n", - "def train_network(N):\n", - " cls_vals = []\n", - " _, network = init_random_params(jax.random.PRNGKey(1), (-1, 2))\n", - " state = opt_init(network)\n", - " losses = []\n", - "\n", - " # parameter update function\n", - " # @jax.jit\n", - " def update_and_value(i, opt_state, mu):\n", - " net = opt_params(opt_state)\n", - " value, grad = jax.value_and_grad(loss)(net, mu)\n", - " return opt_update(i, grad, state), value, net\n", - "\n", - " for i in range(N):\n", - " start_time = time.time()\n", - " state, value, network = update_and_value(i, state, 1.0)\n", - " epoch_time = time.time() - start_time\n", - " losses.append(value)\n", - " metrics = {\"loss\": losses}\n", - " yield network, metrics, epoch_time" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plotting helper function for awesome animations :)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def plot(axarr, network, metrics, maxN):\n", - " ax = axarr[0]\n", - " g = np.mgrid[-5:5:101j, -5:5:101j]\n", - " levels = np.linspace(0, 1, 21)\n", - " ax.contourf(\n", - " g[0],\n", - " g[1],\n", - " predict(network, np.moveaxis(g, 0, -1)).reshape(101, 101, 2)[:, :, 0],\n", - " levels=levels,\n", - " cmap=\"BrBG\",\n", - " )\n", - " ax.contour(\n", - " g[0],\n", - " g[1],\n", - " predict(network, np.moveaxis(g, 0, -1)).reshape(101, 101, 2)[:, :, 0],\n", - " colors=\"w\",\n", - " levels=levels,\n", - " )\n", - "\n", - " sig, bkg1, bkg2 = dgen()\n", - "\n", - " ax.scatter(sig[:, 0], sig[:, 1], alpha=0.25, c=\"C9\", label=\"sig\")\n", - " ax.scatter(bkg1[:, 0], bkg1[:, 1], alpha=0.17, c=\"C1\", label=\"bkg1\")\n", - " ax.scatter(bkg2[:, 0], bkg2[:, 1], alpha=0.17, c=\"C1\", label=\"bkg2\")\n", - " ax.set_xlim(-5, 5)\n", - " ax.set_ylim(-5, 5)\n", - " ax.set_xlabel(\"x\")\n", - " ax.set_ylabel(\"y\")\n", - "\n", - " ax = axarr[1]\n", - " ax.axhline(0.05, c=\"slategray\", linestyle=\"--\")\n", - " ax.plot(metrics[\"loss\"], c=\"steelblue\", linewidth=2.0)\n", - "\n", - " ax.set_ylim(0, 0.6)\n", - " ax.set_xlim(0, maxN)\n", - " ax.set_xlabel(\"epoch\")\n", - " ax.set_ylabel(r\"$cl_s$\")\n", - "\n", - " ax = axarr[2]\n", - " s, b, db = hmaker(network)\n", - " ax.bar([0, 1], b, color=\"C1\", label=\"bkg\")\n", - " ax.bar([0, 1], s, bottom=b, color=\"C9\", label=\"sig\")\n", - " ax.bar([0, 1], db, bottom=b - db / 2.0, alpha=0.4, color=\"black\", label=\"bkg error\")\n", - " ax.set_ylim(0, 100)\n", - " ax.set_ylabel(\"frequency\")\n", - " ax.set_xlabel(\"nn output\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's run it!!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "epoch 0: CLs = 0.0728174959879968, took 1.5502469539642334s\n", - "epoch 1: CLs = 0.6033747613050151, took 1.305609941482544s\n", - "epoch 2: CLs = 0.4772362510826502, took 1.2987580299377441s\n", - "epoch 3: CLs = 0.303203522165707, took 1.3123400211334229s\n", - "epoch 4: CLs = 0.17807919527972027, took 1.3043370246887207s\n", - "epoch 5: CLs = 0.09792412166611708, took 1.3042569160461426s\n", - "epoch 6: CLs = 0.05045661928240319, took 1.312431812286377s\n", - "epoch 7: CLs = 0.024775323853546416, took 1.312417984008789s\n", - "epoch 8: CLs = 0.012006326372574483, took 1.3048739433288574s\n", - "epoch 9: CLs = 0.005995956652717016, took 1.3154382705688477s\n", - "epoch 10: CLs = 0.003201696644957508, took 1.304189920425415s\n", - "epoch 11: CLs = 0.0018730477806756518, took 1.32132887840271s\n", - "epoch 12: CLs = 0.0012097872459944092, took 1.3092951774597168s\n", - "epoch 13: CLs = 0.000855258798814873, took 1.312361240386963s\n", - "epoch 14: CLs = 0.0006508069683333062, took 1.3200039863586426s\n", - "epoch 15: CLs = 0.0005240430154678233, took 1.3494877815246582s\n", - "epoch 16: CLs = 0.0004404998669957916, took 1.377411127090454s\n", - "epoch 17: CLs = 0.00038245353794441606, took 1.3657469749450684s\n", - "epoch 18: CLs = 0.00034024091764739417, took 1.3846428394317627s\n", - "epoch 19: CLs = 0.00030837757126023213, took 1.4826250076293945s\n", - "epoch 20: CLs = 0.0002835917177304026, took 1.6086061000823975s\n", - "epoch 21: CLs = 0.00026380282667526345, took 1.5852391719818115s\n", - "epoch 22: CLs = 0.0002476531490986922, took 1.5814290046691895s\n", - "epoch 23: CLs = 0.00023425802988708, took 1.6054887771606445s\n", - "epoch 24: CLs = 0.0002229236297943693, took 1.5866038799285889s\n", - "epoch 25: CLs = 0.00021321015619446548, took 1.5590381622314453s\n", - "epoch 26: CLs = 0.00020480094785124692, took 1.5385549068450928s\n", - "epoch 27: CLs = 0.00019743821334361478, took 1.5394530296325684s\n", - "epoch 28: CLs = 0.0001909311924312984, took 1.4920289516448975s\n", - "epoch 29: CLs = 0.00018512781060087136, took 1.459669828414917s\n", - "epoch 30: CLs = 0.00017990690840319346, took 1.4979851245880127s\n", - "epoch 31: CLs = 0.00017517614911688462, took 1.5110201835632324s\n", - "epoch 32: CLs = 0.00017085840239827732, took 1.5598220825195312s\n", - "epoch 33: CLs = 0.00016689837871886049, took 1.4957211017608643s\n", - "epoch 34: CLs = 0.0001632393686050726, took 1.5260207653045654s\n", - "epoch 35: CLs = 0.0001598474709885167, took 1.472264051437378s\n", - "epoch 36: CLs = 0.00015668811114721848, took 1.475229024887085s\n", - "epoch 37: CLs = 0.0001537304234133785, took 1.4605090618133545s\n", - "epoch 38: CLs = 0.00015094518410441182, took 1.44688081741333s\n", - "epoch 39: CLs = 0.0001483019560855059, took 1.4090900421142578s\n", - "epoch 40: CLs = 0.00014579038403894629, took 1.4354889392852783s\n", - "epoch 41: CLs = 0.00014338054588325377, took 1.4165687561035156s\n", - "epoch 42: CLs = 0.00014105497004068823, took 1.456571102142334s\n", - "epoch 43: CLs = 0.00013886767077475604, took 1.476653814315796s\n", - "epoch 44: CLs = 0.00013673005949699224, took 1.4481470584869385s\n", - "epoch 45: CLs = 0.00013470501189205564, took 1.4955050945281982s\n", - "epoch 46: CLs = 0.00013274539790075757, took 1.4935669898986816s\n", - "epoch 47: CLs = 0.00013083557800119827, took 1.554062843322754s\n", - "epoch 48: CLs = 0.0001289809847608847, took 1.5153779983520508s\n", - "epoch 49: CLs = 0.00012718516979659533, took 1.516117811203003s\n" - ] - }, - { - "data": { - "image/png": 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yNetcDmF3VRgpCAuJJit65mOohI4dZaEWCpNtRye1GQXm3DNoJoBVAhhjjDHGGGOMOVUsCWCMMSdh98Q2fuy1rwfgw/d+kyeOHOb/uuNdBHnv/wuGRwBodruUowjn3KZbAvUfo1AZBSCJu3znrr9idOeF7L3yVQDc/bm/WLbfdBvi1FEJNfgeeBpQn2w5kswxWhQGLEhepjc8eKNlY7UQKuHS0OGRgrCzDJ1MaLSPP7kHlAOdE9BKhUbs8EVnFNQiTWxMnwOx0l5SJGNzyRVzdrKZAMYYY4wxxhhjXkiWBDDGmJPwS3e8iyjU3v+/+vEPUwhDfuF1PwTA948c5oodOwHI8jY+m0kAOJch4pF2WwSFMseeeoB9194GwKPf/CTN+Sle8aafWtz+7s/++XHHqMdQj91xQefIh6HC+oYHp073O1njRZ07UPC1EkHQNkTVUPASHUq80Leyv+jrcynQTcD3HBnQSU79jIIXysqkiFU5nJ8GJQFmFjqkWbapIeLGGGOMMcYYY8wg9j9NY4xZpygMed/r3wTAXY98l3uefJx3veoGtg8PA/DczDQAmcuoFgqL+210JoCI/ogOCmUAGtMHCYtVAO7/3P/C8wNe8UM/qed+7EEOPPnwqsfqptBOl1add1MNPheDtbMAxUBoxie/Wr0WagLAEx3220wgziBJdQCwCNRCodjX778UCJGv14WDQJb/I3WqZhS8UMaLsLOiA5s9IMn0/iZKws6KzkEw54dB7YAcML1gcwGMMcYYY4wxxmw9SwIYY8w6/fCrb2Qib/fz23d+FoCfvU1bAx2Zn+fa3XsBmG9rWw+3BdUAcasO6GDgiQuvBWDywGM8ds+nedENb2V42x4A7vzg+0/62OsZHtxJ3bK+/etVCbUCoH/ocOagl0voJFqNUMqTEIHo53EGngACyYAKhP4ZBWeTQUmRTgrNRD/3RKsczPlhUCUAWEsgY4wxxhhjjDGnhiUBjDFmnX7iDW8GYKaxwEfu/SYv2befG/IhwF9+4lG21WoAjJR05f5mZwEAeIFG6KeefYjq+G4Avv6h/4pzjuvf9gsALMxN8fVP/9lJH7sew1TbkTkNUJcDKPjak3+sKGROnz/ZNjWRrzMI2sny5EGcwUIXHG4x4B/5+Yr/fNV/6iD0Hc7ptvGKCoTecOOz7R+vQUmRfr0qB3N+SFYZxjE5b0kAY4wxxhhjjDFbz2YCGGPMOuwcG+cNL9cBvB/42pdpx11+6pbbAciyjNDTpem9nt5bMxA4ww+1rVBY0gTDwuxRHvjCn7L7iley78U/AMDffOR3IWlR9E9+0Oxaw4M32qfeQwP1yYDFzo3YUe/mrW8EXKIJgCxf9V8JAYSZ2NFKjg+UbmZGwemyWlJkpRM9b84NzjmrBDDGGGOMMeYF1vz4B0/3JRijXnvdaTmtJQGMMWYd3vYDN+H7Guj/k69+Cd/zeNerbwDgrscf5Za8IsCx+UBuL4GQdtsEhTLN2SOM7LwEgHs/+Xsk3TY3vfMfA5DEXR765G+zpyobHjS72vDgjcpYWrG/UjOBI01H4MH2EpR9oZ1CmkE1dFRC4WDDcbjpaAy4/mIgTLbcmte3VfexVdZKivRbZXG4Occk2epv9FTdZgIYY4wxxhhzKvynR//T6b4EY3L/9rSc1ZIAxhizDnfc8IMAHJyZ5u4nHuO1L76aHfl8gEMzkwznSYAgrwjYSBVAL/jf27c3EHjyme+wb2QHAN+56y8pVoa54tU6oPjhL/45UeMQGRpk9kUHzdYiCNuO6ZNYWLzRgPnKoHtv6PBESWgOWN0+19HqA0HvM3NaDXC0CZ445ruOuQGx0BPNKKiF2nanHLLhhMipsFZSpJ91Azo/rBwK3KuEAZi0SgBjjDHGGGOMMaeAJQGMMeYEhsoVbr32ZQB89L57cM7xt/IqgDhJuGHf/sWPwyAgcw5vA0mA/sSBy1LE8+m26pSHNQFw9JmHmXzu+7zkte/BD0IAHrnrL5huLw+KNxMd9jteFOL01AXA1wq6N2K9hlrEwD74vgdPzzvqnYwUcBnMJ1AN9brHikI7cYvB82IgdFK36oyC8aLOMSj4ut9mEyJb6URJkZ5iYFmA80G8oiRkYqjE0bkWYO2AjDHGGGOMOVV+5uXR6b4EY06rs222ojHGvOB+/LY3EIUadP/Ifd/E94R3vPLVADz5/ONceMFeAMJA86obSQD0OKcBQskrCp669+NMXHgNAA9/9a8BuOrmdwDQXpjhu/feNfA4vUGzlfDUBJbHi7CzIkyUBA+tQvDQQPfOihD6aw8dLvgapC9HwkhBGCoKYwUhTuFwwzHZcmTojIIMnVFwuDE4kF8L9ZiewHTb0Uygk2rroem2wxNNLNTCU/JSrEsjdnRSTYwM0qtyMOe+lfMAdo6UFj+2SgBjjDHGGGOMMaeCVQIYY8wafM/nl9/5HgCeOHKYzz/0ID/28pcyVhsGIBYN1idpSpDPDNgMkdVzsw9+8QOUhya47BWvB+CRL32ILE1W3b6dOMqhtus52VY/kQ9FDxBop8v3HyvCzrIgHky3Vq9CONzQwP3KocNJpvMHAk9IsuNX7U+1dSbAenv7V0KtAFhZEdFT72qSoBLq7IPToR5rNcKJqhzMuW9lO6AdI2V4ZhqAaZsJYIwxxhhjjDHmFLAkgDHGrOGdN9/CRTt3AfCfP/lRMpfyS2++A4CFdpMrdl8EQLPbZqhU2dS5nMsQ8Ui6LYKoxNzhJ9j7ktsAePo7X2bqwOO8+od/drEV0Lc//6drHi91Gng/mZKvWgjbyxqorgTg0BX1M23HQuwAYW9NGCvATBe8ErSS5UN8+4Puh5tu2dDhct7up5NCvbv5NkaRr8dsr9FmBzaXENkq022dhbAyKTLZcqd9boF54RxfCVBe/LjZTWh2EsoF+/XMGGOMMcYYY8zWsf9lGmPOQY6y5/DFkTqhmQmwsbY4//Rd7wXg6Nwcf/ilL3LLZZfxssuuAuB7zz/FKy7VjzebAIClKoAg0vYgk88+xCWvehsA3/rMHwFw7e0/DsDMoac4+PDX1jxer09/tuZWS8aLcOGQMF7ywDnaiSYBRgvCnip0M2G+o8H8VqKPowUN9gfe8mG+K4PuvcD7SGFrV+17+X0mJ7jJjSREToV6zLKkyImqHMy5J1nR9qm/HRBoS6B9heoLeUnGGGOMMcYYY85x53USQHQK513AzfmXrnHOPXQaL8kYsymOiSBlIkgYCVJ8IAVmE5/JJGAy8TmZZMDLLr2Cl192BQC/+blP0Y67/PRtbwR0CPBYVVsCLbSbVIvlVY9zMtJuGz8qAjC0TQcOtxZmefirH2bvi17N7st0QPG3PvunFIMTD5qdbLl1BZlrIeyuCsMFyQf7Lj2XOEc1EoYi6CaOONMkQDeDdr6yfaSgrX16+w0Kup+KVftZfi7/BG/rySZETjUL/J+/1qoEAB0OvG/CkgDGGGOMMcYYY7bO6V4Uebr9fTQBYI2YjTnrOfZFMVcUO1xY7OLjiB34OC4sdrmi2GFvFHMyf93/zus04J9lGb//pS8wUq5wx6tuAOCBx7/DxTv3AFAIVpn2ugFZpj3+Zw58j20XXQfAvZ/8XeJOixvf8Y8AiLsd/uYj/3Ndg2Yb6+yBXwmFkUhIM5YlAEAHDKcZNGOoRFAIBL/vX49GDJEnlIKlSPygoLvX9/W19IL66/kHqpvqdRWDtbMAxUBoxhZ8N6ffyiTAxFAR31v6/p2ct+HAxhhjjDHGGGO21nmbBBCRi4D/AHwSePY0X44xZpMmgpS9UUzoOZ7thMykAQuZz0wa8GwnJPQ0STARrC8KHAYB733t6wD4/Hcf5MD0ND9+4w9SigoANBpzy7bdKmFRVwCncReAJO7wjb/+LcZ3X8oV178FgK9/+k85cPgwU21H5rR9TjmAgg/lQHv6B5723F9vX/3hgtZIdFcslQ88PW43hTiDzAm+OEorbrmTOooBhPls5EFB91O1ar8Ruy1NiBhzKq0cDFwIfMaqhcXPpxcsCWCMMcYYY4wxZmudl0mAvA3Q76JLgn/uNF+OMWbTHBNBQi1IORoPavkjHI19akHKeJCwnmqAN77i1UwMjwDwx1/+GwB+4hYd0vvs1DEu2XsZoG2BADK3+UYzcbuePzYY26ezBr595wdYmDnMDT/yS3ie/sj+zJ/9BqCDZg83HJMtR4YGu0eLQuhpIL0cCjvLQi0cfL7Ih6IPRU+D/Q5YEZ9cXL3fC+A7B3EKSQqVvuNmfav3Vwu6n6pV+/WYVRMiY0Uhc/q8Dd41Z4J4xQCLwPcYrxUXP5+sWxLAGGOMMcYYY8zWOi+TAMDPALcC/9I5Z1UAxpzlyp5jJEipJx6r9/wX6onHaJBS9k6cBHj7ja8BoNnp8OF77+byC3Zx3f6LAPj897/H3u27gaUqAE9O/sepc8uvIyzWAJh8+kE8T5fU3/+5PyYslHjJre8B4IGvfIJDz3xvcZ96DIebjmbiSDMdkDvTdtS7+gN+oiTsrAhjSzFGaiHsLAt7qsLemnBBVRiOhKLPsjY/sBT87yUDRKCZwExHzzccQSkPuoeezgZYK+h+qlbtr0yIBJ5e+2TLcbjhmD7FcdVeQiXyT+15zNlvZTugMFieBJiydkDGGGOMMcYYY7bYeTcYWET2Ar8KfB34zdN8OcaYLeCLwwdit/YK89gJoej2ax7P8/nh628E4NMP3k+r2+Wdr/yBxed35RUCmXN4Ijjn0AKjk9O/j3MZIh4uy/ACXWI/N3mA5x+5myuufwtRsQLAlz/2h8cdpxZCLRQSBzPN5ffWTDTgPl4U4tQR+bo6vuAL7cSRZBrc9wVqBSHwHa1kaf8kg06qwX6ADMdCDFNtaCWOSigUfKgVhZm241BDA/irrbqvxxC2HeNFYayo19BrEVQMhE7qNrxqvx5DPdZ79NAkwKmeAVALdZ5COVxqY9SMWfM1MOe3le2AQl+YWFYJ0HmhL8kYY4wxxhhjzDnuvEsCAL8DFIGfcm4L+ncYY0671AkpEJ4guB+KI0VIT5AsuP1lr2B8aBiAj37rHgDe8arrAXj0yGFuv/LFgA4M9nx/QwmAnl7wH+dA4LnvfIG912jboYe//CGcc7zohrcC0Gk1+O7dnzvuGBqIF6bbg++/3tXA/46yruT3hOO2Pdx0VCMYioTx1DHVtxi5kzp8T4P9hxZYXKXfTDTJMFaExoLj8IJjah3xy+k2xKmjEkI51FX7qdNV+1sRPH+hhv+OFwcnVCZKQi3SZMeprkAwZ5/+SgABPJHllQA2E8AYY4wxxhhjzBY7r5IAIvJ3gTcC/8Y59/AGj7Ed2LaV12WM2ZxmJswmPhcWu8ykjsEtgRy1IOOpdkQzWzto/49+5N0ANNptPnrfPVy28wJeeuHFABxbqHP5jp0ABP5S75eNVwNo/x3J2/80pw8gee//h778QcJCiSvzgcDf+cZn6XZay/aPfA2kt5O1EyDtxDFaFOIMjjaP37YRw9PzjitHYaSow3/bic4JKAVC5hzzXejk8cuCf/zq/emTWMB8Olbtb6VaqAmAQQmVldUXVhFg+iXp0vdLGHiICBO1vsHA9Q5ppok3Y4wxxhhjjDFmK5w3MwFE5ALg/wUeBv79Jg7188BDfX+MMaedMJkE1BOf7WHK8YN/HdvDlHriM5UErD43AK6+8GLe8IpXA/D7d32B2WaDX3z9mxef7yUA5loajO/19d9IAqC3b5Zo9Lw9f4zdV96gxz/4GO2nv8m1N72VYkWrEr7xmQ8cd4xer/70BC30PU8H5XbX2HCuA0/MOY41HPOxVgx4ov3/H5p03Hck46m5re25302hnZ5dCQBYqr6odwc/X+9CwRcqoQVyzXL9lQBBPoSjvxIgc47ZhrUEMsYYY4wxxhizdc6nSoD3A0PAm5xzq4Rt1uW3gL/q+9wSAcacASYTn1I3ZF8Us68QU0+8fAaAVgDUE59nuyGTydqTW//R2/8WoK1+fv3Tn2C8WuN9r7kVgAeee5br9u4DoFLQlbubaQXU21c8/VE8++Q32XmdJhy+9/nfYySCl73ubwNQnznGt7/6yeOO0Rvc65/gMkLR1EdygiZo9a72+j/SdJpLkZVB+rN39f5WOZnqi3Ko25+Pr5MZrD8JEA5IAgBM1dvHfc0YY4wxxhhjjNmo8ykJ8FagAfyHAUG7nfnjH4hIA/hD59wfDjqIc+4ocLT3+WYCgMaYrSQ81w1pZR7jQcJokBIKpAhPtSOmkiBPAKz+d3b7yCg/9trXAfDhe7/JU8eO8H/e8U7KecC/k+rE3E6SUAi25senSxPEz48V6fDfpNvmO3f+KeHIPna/RBMQ933uA6TJ8X1luqkOop0oCc01gtKRLywkkJ2gYqBXVbDW6vzVvn6+JAd61RcnSqikTismzpuSO7MuyYAkwMTQ8oD/ZL3N5S/oVRljjDHGGGOMOZedT0kAgArwmjWef0X++Den/lKMMVtP2wJNJj5lz+GLI3WSzwA4ccLux297A4UoAuDXP/0xPPH4qVtuB+C7Bw/w8r37AUiylMImf3z2Zggk7TphZZTW9AG2X3ETAI9//UO061O88l3/v8XtH/zcHwODA+2NWHvQ1yIGtqepRbAQOzKn/f3XShYUA2Gy5U4qiF8LtT1OOVxKIjRjtmTI75lovdUXvdfCJtCbfsmydkD6TVSKAsqFgGZHE41TdWsHZIwxxhhjjDFm65w3SQDn3KrhGhF5GtgPXOOcs/Y+xpz15ITDfwf58VtfD8D3Dx3gq49+j9dfcx37JnQO+IMHn+eqXbsBqESFVY9xIr3gf6+KKKyMAtCcOUBpTI//wMf+G8WhCV58+/sAeOpbXyA59BD7akLgDQ60h23HeFEYKwrtxC0GqfsH98Yp7KysnSzopI5GfIJygT7jRR2QW/D1vEmm550oCbVIr2uj8wLOVOutvthIQsWc++Lk+EoAgPFqoS8JcI79pTHGGGOMMcYYc1pZlwJjzkJSKCGlKlIone5LOWdctf8iXnqpNuD4069+CWBxFkCz22XnkA7n7eYtgTK3/kB5v/4WYmmnocdKY4b3XA3Asw98jsmnvs21b/p5wkIZgPs/+GtMlISJouChbWg8NAi9syKMFWG6DYcbjsnW6oN7OxksdB2eaOC+HEDB14HBY0UhczDVXv/q/Vqo+3kC021HM4FOCs1EP/cExotCLdzQS3VGa8SOTqoVGINsJKFizg+DBgMDjPe1BJq0JIAxxhhjjDHGmC103lQCGHMu8IZG8YfG8MpV8DzIMrLmAun8NNn8zOm+vLPae2993eLHf/rVLzNSrnDHy18FwKce/g5vu+Y6AKK8f7+3BfNAvEArCuaefoDRS14JwIOf+h08P+CaN/40AAe+900Wvn8XIjDV0dX8Pc1Eg9DjRUGco5HAdMcx3VneMqgWws7yUrsePx8SXAw0aJ86TRacbPueSqgVANPtwYHueleTBJUQ6iuC4Wf7/ID1Vl+ci+2QzOYMGgwMMNE3CNgqAYwxxhhjjDHGbCVLAhhzlgi27cIf34EUy7h2C5eliOfjT+zEqw6RFkokxw6e7ss8a739Rh0Xcvfjj/LUsSP87ZteQyHUJewL7TaB72/5OXsDgV2mkeJOY47nvv15dl/1gxRr4wA89Mn3U43g2TrLEgA9aQa7KsJIQZjtuOPaBA1q1xOIrlTPHNS7jkPNkw/ERz4MF7QiIvQgXqXxfTtxlEPdvpeQqITCcEGrFZIM5jpn5/yA6TbEqaMSQjnU+9loQsWcP5J0KSEWBn2VAJYEMMYYY4wxxhhzilgSAHDOXXi6r8GYtXhDo/jjOyAISaePLn7dATTri89nnZZVBGzAlXv3c2U+9PfD994NwNtfeT0A040Gr3vRVYC2Aor8YLGv/0Y4lyHikaUJnh8w9cyDjFz4MgCevPujpHGHi69/GwBp3GX6258kiaE1oPf8SAGGIqEYAAJzXfDcUj/+0cRRCJba9ZQD2FEWhiINxBd9YW8NHp/NeHr+5NoA7SgL+6pCmsFCqBUFjVhbAvVLnQbHPTQhsbsqjESCoN+/AuwowWwXnl9YfX7AmVo5UI+1yuFMvT5z5lm1HZAlAYwxxhhjjDHGnCKWBDDmLOAPjSHF8rIEQL9sfgZ/bDv+0JglATbg595yx+LHH7nvbrYVQ96Qt/955PBBbrzkMmCpFdBGEwC6rwb9vPxYR5+4n/H9LwHgwDf+ilLgccmr3wrA8w9+kbg5x0zH0VgRoC8HmgDwPZjtgO9ppYD25Nc2QRdUPTIHBxYcIwWtGNheEqLA4RyIaGC+Fgm1Anxv+sRDfPfVYFfFY7Sg7YWcg0LqSDOY7wpzXU0E9ALivSHG5RAuHBKGC5o46GZaxeB7EHmauAg9XVnfn4xYVjkgkLgzs3LAAv9mvVZLAvS3A1poJ7TjlGK49RVIxhhjjDHGGGPOP5YEMOYMJ4USXrmKa7fW3M61W3jlvmHBng9Ziuusvd/5bqRa4yff+BYAvvidb+FNPsYv3nwbxUgnvu6pVQFoxV1KYbSpKoCeXiunpNNkZJcOI27MHuV73/oiF11zM+WRHQB8+66/ZrLlaCfHH0P78evq/6Kvgfb+jjztVFv+zHc0YbC9JOyoaFVAnAlJptsnKZRC4cKaIC7je9M6W2DQivZ9Nbh42KPow2zXkThhpAAhIAjbSo6RgkczccSZXlPBg0MNx2hBGC95NOIVCY0MWkAlhPGSx/ZORn1Oqx56lQPDkdD/km8v6X2vVTlgzJkqWWUmQH8lAMDUfJvd45UX7LqMMcYYY4wxxpy7LAlgzJnO88HzcNnaS41dluJVhgj3XIL4vg0OXqefeuNbqBQ1cfKxz/05+4M2733DuwGYqc+yf/sFgLatgc1VAfQSCM45BDj0/a+z9yW3AfDtOz/AsWbKa295HwBxp83nPvMhaomukm/2tQMKPSj4upoeoOALMyuGBnvoSnvt3S9MlHS/TqoJAg/wBBJ0gG/Bh0tGPDxxHG4eP1ugFsIFFY+SLxxq9q7FEXqCiA7/LQba5udIE9ptqIYQ+MJQwTESCbjjKxp6GjFUAsdoUYgWHAVPKwdGCkKS6aDdzOk1F3xhW0nbDK2sHDDmTLc8CbD082RiZRJgwZIAxhhjjDHGGGO2hiUBjDnTZSlkGeL5HN8Vfok/MoFXqYHv4xbmT8vgYCmUkFIFHLh244yvQvA9n7//1ncA8PTBp3ngkXu44sU3cdHuC/Vrxw4xWhsBoBhGi/tttBqgt4+3OBBYg4FZlvHNj/8O5aEJrrjhDgDuufODNOZn8EJd0V+LNFgPGgj3RIP8lRC6mTtuZkCGDust+tqSpxDouTOnwflQANEWO5Ifqxg6xktwpLV8tkDYdlRD/Xims3SeVgK+OMZLQjWAKNBrLAZCLdSKgrlmRtHX4cTz3bW+g6GdQDWAogfby8JEUVhINBGxbLt8GO+2ojBfZrFywJizQZwMbgc0Wo3wRP+OAkzOW5mLMcYYY4wxxpitYUkAY85wrtMiay7gT+yEZn3gNl65ij+2TVf9Hz2wtC+8IIODvaFRgp37CcZ3IMUy4HDtJun0UeJDz5yxVQg/fP2N7N+xE4CP3flBjqYh/+GN7wKg0Wlx4fZdANTbTWrF8mLwfyMJgN6+3cY0UWWM7sI0F1z5AwA8du9nmDn8FDe+4x8S5MmGL3309/XcsQbhx4vCWFFoJ05Xw3sa2K/HjtkBMwPiVJMAQ6EgzhHkiYNKqCvok0y/P0qBFo3ECXRTwdeLpZkszRbYWRZtOZQtBSh7FmJNKnQC6HbzIcAO5ruaMGgmkIQQ+rqCnzVSWS7/E/kwWhQcclwCoEcrB4TRIkQLznrym7NG3PeXqL8dkO95jFQKTC90ABsObIwxxhhjjDFm63gn3sQYc7ql89O4dhNvaHTg88H23brd0cEr/bP5GaRYxh8a2/JrC7btonjly4guvhJveAzBAYI3PE540ZUUrnwpwbZdeZVA38yCM8D7Xv8mAOrNBT76tS+wf8ceXv2i6wD45qMPMVodBqBWLAObHQis+4alEQAWjjxOWNR5A9/8+G/jByGv+uGfA+DQM9/n0Qe+srjvdBsONxyTLUeGBsqbKbQS/dpcZ/A5nYO52OH72u6nGGgioJVogqBXTdBNdOBuwdNgveu7zXoXqqEwFOk76614CQJPr2emDTMdDc7PdBxHW5oAAJ0tsNDN2wOt8a9OKZDFfcoBx1U3rNRKHEMhDEeaODDmbJCsMhgYlrcEmrQkgDHGGGOMMcaYLWKVAMacBbL5GdJCCX98B/7Ydly7pe1+fB+vMgx+SDp9jGyVSgFYPjh4s216pFACz8er1Aj2XII3PIprNcgafeevg1eu4W/bjVcZJp05osONz5A5BaO1Gm98xasB+Jt776Le6fC+G25ffD7LW/WkWYbvbU2+NI3b+KEG+SrbLgbgyNMP8cR9n+Pa236Mke17AfjMn/36cfvWY6jHjsjX7O1UXh2wMijf02vd004d+2sexQAiD1qxtgIKfV3VH6NVA6GnrYHiPCkAWjVQCoRq3nonA2IHR5qOVr6Nh7YbSt1SVrke63F64gxmO1pVUA1hdkDSohKC4Jhp66r+vFvRqkoBjERaDbGroq2K+mcYGHOm6m8HFK3Iio3XinBoDrBKAGOMMcYYY4wxW8eSAMacJZJjB8k6LfyhMQ3mex6kKcn0Mfw0IWvMr7m/zgjwdNDwBnlDo4vnx/PwR7cRTFxAFnfIGpPH7yAefqkMlRqu2yZpNk5iToGj7Dl8caROaGYnCgufnHfcdAtRGALw2bvvJPLgrXkS4KFnHufll75Yr8Jtvt/80gwBvf755x9iaM/VAHz9w/8d5xw3vvMfATB77CBf+9SfrHqsXtubdgqwvE1Q6jQgXwx0kO5U2zHdBlzGxcM+O8pQCKCTsBjEL6IJAQHamQ7aBRgp6EDhWihEnqMQQOjrfdQi4VDDMdnS2QO9BEAt0qqEuc7xr9lcx1GLhMiD4ej4Qb+B5zjWdhxpOjoZNBIYLcD8gIB+LYJaKIyVHFMdaOWDjvtnGEyvEj/tJVGyvtfSnH1EJAD+IfB/AJcCLeBu4P9xzn3pJI5zIfDUCTb7AefcNzZ2pcdbsxJgaKkSYKq+SomPMcYYY4wxxhhzkiwJYMxZJJuf0dY++Up8Mo1iesHlJxwcLL3ts41FPoNtu/Dznv+u3QLfx6sOI6UqnufjKsNkjbnF7b1iGb9agzTFdbt6/jQhazdPMKfAMRGkTAQJI0GKD6TAbOIzmQRMJj5bkQx4z2tuA+DgzDRffOS7/MhVV3HB+HYAHnn+Sa7ef6net7/5PjO9VkB+WACgPX+MISCJuzzytb9m58XXsn3fiwD4/F/9JkncXddxp9satK+EUM5b7aQOJltu2Yr4Yy14fC4DPIYi8EOtAvDR/UDb9Uy2tZd/NYKhSHRbgVKo7YfSrlDKBxVfNCQUPMexlr4bOyow0xaOtbLFlj79MoQn5hwF//j2PZlzHGs5nl9YuubptmO06FEJl887KAWaACiF0EiEY03HQv5y9WYYjBeFOF1eEVALYaQgVCJNArRTqxw4W4lICHwSuB2YAj4BjANvAN4gIu9zzv3xSR62AfzvVZ47ttFrHSTuTwKsKOUZqxYWP7ZKAGOMMcYYY4wxW8WSAMachVa28znR4GAAKZZIJw9vqBVQL2BPEJJOH9XjFUq4OMZ1GiB+HvCPNcifn48gJG038cIC+D7IUuQ3m5/BH9uOPzTWlwRw7Iti9kYxtSClnnjETgjFcWGxy3iSUuqGPNcN2UwiYKw2xC0veSkAn7jnqwxLl9te8YMAJGnCi3deACy1AnIuQ2RjLYF6VQBZGuP5Ic2p5xnedx0AT9z/BdqNOa66+e2L29/9ub88qeOvbBM0aIV7BhxuQDXM8MVjuKDzAlKXtwIKNCjeTrWPf8HXCgBfQEQHBs93daDpUCbEmWO0IIyVhMQ5As8x0xam2hmHG8dfYy2CTuqYbjlEYDbUYH4gOotgrnN8MP5o0zFSyBguCIFAN9P5BVqh4GinwkLXMd1envqqd2GsKFRCfV0A9tVgV8WjFmlyIMnvOytqa6K1KgfMGemfogmA+4HbnHMzACJyO/Ap4HdE5G+cc8+exDEnnXN/d8uvdID+JEAYLE8yLq8EaJM5h7eJWSTGGGOMMcYYYwxYEsCYc0I6P41XHcIbGh3YZ98bGsW1m6Tz0xs6vj80hhTLiwkAIK8qSBAnuKQDQaiB/3YTCUIkLOKSWFsQAaQpuOXR6ZVzCiaClL1RTOg5nu0sD/TPpI7tYcq+KKaVeUwmG//x9e7X3Iqfr/B/8IE7GfZTrr3uFgAOPPcIV11yjd53fu0bTQDovnoPnq9L7g989y4u+8Ef03Pf+QEArrrpRwB44qG7mTp8MnHLJWu1tun12AePZ+sOWYBKKIs9/EMPfA8iTwh8Bxl44gh8SDOhmw8hbqeQOk0UdNI8uJ/AI/MOR0bRX2pN5IlWJkS+kDnt8z9clMX5Ac1YjzkfD772egxPzTv2VLV9UCTgB1D29Xpm8tZBjQGr+NuJoxxqtcHOMlw87FH0Ya7rSDO912Kg9zBcADi+csCcmfI2QP84//TnewkAAOfc50Xk94C/B/wS8E9OwyWeUH87oNBfHuAf7xsMnGSO+WaXkUoBY4wxxhhjjDFmMywJYMw5YK3BwVIoaQJg6siGBvFKoYRXrmoLoD4u7pI15nEj2yAINeAfFpEgBPEQT3BZhkRFnMvImnXcijY3y+cUOCaChFqQHpcAyK+Eo7HPvkLMeJBsuC2Q7/n88jt+FIBDk4d55IkH2XXRyxkdngCglf9Y3Mzq/5UWqwGylKim52k35/n+3Z9g58XXMr5bWw/d84UPbsn5BhFAnAbyG7EO6u1VDhR92F7WfvrlDmQeVALB82Ah0RX17TxQ38rnCWTOEacwFzsONzXIXwsd28v5SvwAHNrzP3NCM9HAfZJpi6HhglAMIMMxvUoCo7/d0XABygHgwXxHA/qDEgCgSYbAg6EQLqh4lHzhULOvYiDTBvKVEMiEkYJWEPQqB8wZ7Qa09c/Tq/Tp/3M0CfA2ztAkQLzWTIC+JABoNYAlAYwxxhhjjDHGbJYlAYw5w/T3+z+Z1j2rDQ5OJw+Tzk9vKAEA6LV4Hm7ALIGssUC6MEcwMgpeAbodEA9chsscUiqDAzc/O3Bwcf+cgrLnGMlbAK0e3BfqicdooNvrsOCT87YbbuKSXbsB+PBn/5zDsc8v334HAHGScPEeDcg3O20qxfJJH79fL5GQpV38oMCRx77JnqtvAeCRr/41cafFtbf96OL2937xQ5s632oiX4P9x9qOgi/LBvMGAr4I020d6ps6KHjaBmiuA/PdpQQAaBufgq/zAkIPtgH7azDdciAa9E8yONbSSoKxglDKV92HPjTzWadr9e/v12t3NN2BogcXVLUtUG/uQOj1Eg0Q57HVXrXBcEETGzMDBhWDJkOGI01q9CoHbFjwGe+l+eN9qzzf+/olIlJzzq3eI225ioj8S2A/0Aa+C/y1c+7Ixi91sCRd+n4MVyQBxlckASbrbS7ZObzVl2CMMcYYY4wx5jxjSQBjzhDe0OhiAB/Pgywjay6cVAB/0ODgjcwAWH7QFLJs4ODhrFknPXYQCUL80W0QFfE6HVya4JUr2kLo2EGSowfJmgvHHbp/ToHvO3wgdkuBfYkKS/fR1eixzggAXwYFdh1lz+GLI3WSJwmWJwp+4Ye1//58o86Hv/JZdo3v5HUvvxGA7x14imv2XwawLAHQW8l/snqVBH6gK3k7jdnF4cDf+swfEhZKXHf7jwPwyH1/w/SR5076HOvhoYHxmTYEnqMUaDscPx8kPNNxtBJdpV8M9BXbV5NlFQCgw3VrkRB6uoreOagFwqUjQjakvfan8zY9ABMlIXPC4Wa+mj/vyd8L4A/q37+abqp/yh09LjiG8wRD7/lOqrMFioEw19FzppkmCFY9bqbB/2I+U8Gc8fbnjwP/sjjn6iIyDwzl2z60zuNOAP9uxdd+Q0T+pXPu/93Qla5irUqASiGgEPp0Yv2LN1XvbOWpjTHGGGOMMcacpywJYMwKWxpAX6dg2y788R1IsbzUysfz8Sd24lWHSAslkmMH1328jV73oHt3ndaag4fTuSlt8yMgCC5NAEcydQTxfNL5adK5qeP2WzmnIHVCCoTi8KpD+JVhrSToVRa0mqSNOcLWNClC6vqD8o6JIGUiSBgJUnwgBWYTn8kkWGwd9KJ9F3LrdS8H4FNf/TT1Toeffdvb8D2dD1CKNEDf7LQpF5ZW5G4kAdATt+uExRpJp8X2S14BwIFH7+PZh7/Oda/725RrYwDc+cH3b/gca4l8iPLV8r7o6vdG7Aj7Bgnn8UbK+Yr9ubZjKHKMFHSVPGgFQC0SRPqO5zlmujDdgt1VGIr0fewNGNa++xqB7626r4RCM1mKyvf371/PKvxG7LhkBC4d8RaTPUmWVwE4R+w0AdBKHNVIiDO91tWkGRQCfR2y1Td7QdTC03wBZ4dq/jhgBPWiBTQJUFvH8TrAbwN/CTwCzAOXAj8L/AzwX0Sk6Zz77RMdSES2o8Uxa4qT/pkAy5MAIsJErciBab29yXmbWG2MMcYYY4wxZvMsCWBMbitW4m/4vOM7IAiXDd51AM364vNZp3XKruNE936iwcMEAcnBp0lmjuG6HVyng2s38PNrX8+cgmYmzCY+l2yv0ajuyocFtxdb6nijE0i5wsiC4/Gj9b5WQI59UczeKKaWtxPSagHHhcUu40lKqRvyXDfk595yx+Ilf/CLH2OoWOQdN78RgO888zjX7NdWQFGwdT8a/UCTCVPPPsSOy14JwNc/8t8AeNVb/h4As8cO8sCXPrZl5wQNKFdCoRxq8H8oEoo+HM6H6cYDAu7FQJhsOaY6UG5kFAOPC8rCTMdRDUV78qNBcwccawkLXUfgQTfTvv/lAEYK4OG0LU9fZL2bQcHXFj691j29/v3rXYU/WoSRglYPdBIhy7RyoRZqEqqdOWY7GtDvpHqeoq+JiUF8T4ezNrrutLYCGi9qVYR5YTnnDqEB/37fBn5ORL4D/Cbw70XkD51zJ1qW//PAr5zgfCsGAx//nT9eKywmAabqlgQwxhhjjDHGGLN5lgQwhq1fiX8y/KExbZvTlwDol83P4I9txx8a23ASYK3qhvXe+2qDh73hcW0V1G3jV4eXEgguPck5BcJ0aZwLasNsCxKOzk3Ra+XjANdusL0W0axtY6YeQVuDZBNByt4oJvTccQOFZ1LH9jBlXxQTS8h7X/s6AD7z4P08dPgIP/2aW6mVKwAcnD66mAQI/K350ZilMV6gy7tLIzsAmJ88yMNf+TD7r76J3Ze9DIC7/vr3SNNkS84JSwHlgi+08zY/ncQxWvTYV4ODDe3/368W6ar9Rt6W57k6iMu4oOoxWtDns0xzRL445rqCiCYHIl+rALJMA/rlQOgkGuDvX4Wf9lrvBECqiYhe//71rMKvhbCr4pFm8MSsoxTouT00weCLzgoIRIg8aMbgitDNtDXQoEHCw/nMgNlV5ga8EGqhvl9rVSyYRb2+YpU1tulVC6x3HsBq3g/8a3R1//XAXSfY/reAv+r7/LhWRJlzy9qqBf7xb3r/cOCpBUsCGGOMMcYYY4zZPEsCmPPe6VyJL4USXrmKa6/dvse1WxpEL5ROqtVPb4W/PzwGfghpTDo3vRiA94ZGCXbuhSAim5/Wtj4MvvdBAX2vMoTnB7g0IVuYx+WzA1YmENY7p2CmsoPnoyq76s+x149ZyEJiPEIyql5MvRFzsLaXmUoRZp5E2wAl1IL0uARA/gpzNPbZV4h58zUvY3xIB2z+yVe/xGQaccv1bwBgcn6Gyy7YB0A3iYmCcMNzAGBphkCWxHh+SH3yOYa26fHv/uhvkSYxN7/7n+r5Oi3u/NDxnUaivnY9J7NCvT+gPN1eCjd2UohdxgUVYV9VOOQ56l0NnBcDHRQ81V4+oPfZBZjpZOwoCxcO66tb8IXeonrf0377SabfM+UQfB/iVIcCpxmUQl2FXwq0GiH09TidDNqJ9uJ/tr6+VfgjBaEWCXP5sOJ26ghkaTBw4nTugIi2GJprO2Y6WpkQeMsHInsCowWhlToONrJVBxOvtNH3ZS2VUBM2/e+XWdUz+ePeQU+KSA1tBdS/7YY45zIReRxNAuxax/ZHgcV/RAb9/OhvBQQQBoMqAZaSANYOyBhjjDHGGGPMVrAkgDnvvRAr8Vfl+eB5uGztaKKuzvd0+3UKtu0i2HMJwfA4iKBhS49g226SuSnSmWMEo9vwt+3CNefxSxVNdDTmF4f4rrz3/sHD3vA4YRiRtJvLXpfVkicnSl5oQqTGsy2PhaTGuNdhRGICyUic8HRaYSorMN3y8co1pFCiFDcYyVsAHZ8AWDwy9cTjjptvA6Dd7fLRb93D6OguXnrldQA8+P1vcesr9fkoX7m/kQRAL/jf2zco6HDhucOPU5vQmOW37/wAw9v3ctkrtCrhyx/7Q+ozxxaPsbKNT+p0RXsjdusKVK8VUJ7raID+gopu0/IcqWOxh/7CgOPXY+gsOHwPSj5MFMFD5ze0kqXXqBFrmx+AQiiUU8expiPyYUcZfBGGC5qY6KQahN9d0SB86J84+B35GswHt+ydThz0L63upI7Q07ZDjQRc2wHCaAHaTp8LPU1gTHcchxYynjt+ZvVxNvu+rHVf5VBnI5h1uT9/fPkqz/e+/qRzbrOVAABj+eM6vktOLF7RlmrlYGBYngSwdkDGGGOMMcYYY7aCJQHMWeFUDes91SvxTyhLIV89v1YIUPJ75wTJgh5vaJToohfhDY/i0hS6nXyVvgdRgWjPJbi9l0CW4VoLuMzpyv7hMbxSmXRuZnGY76B7d50WXlQAPyDbquTJYkIkYzIrMJlFlCXFx5EiNJ0O95XefXg+vjh8IHZrB+ydH/KaV98KwKcffIB6q8Uv3P7Gxee7QWn59husAujfJ0sTPD+gvTDN0I5LAHjmu1+jPn2I69/2C4vbffljf7D48aA2Pr7AREmoRRC2HdPt1Vejryeg3EzgUEOD+guxI/R0dX4xEIYKgwPb3VQTCKWK4HlQCBxT7eWvT+IgEN02QPvsLySOou8olj2GQk0otGINwEeetuFJnKPoC2NFRzMevMK+V92wvSQMRUIpgPmuBvxbK7ooZU6D/C5vMTTd1sBrvauvTcHX55oJzLTXF8Bf7/uyER56rGQ9/ZAMwNeAKeBCEbneOfeNFc+/J3/8yGZPJCLXAFfkn9632eMBxOnyb+5BMwH62wHNt2K6SUoUrD8BbIwxxhhjjDHGrGRJAHNGO+XDek/hSvz1cJ0WWXMBf2InNFdftCrFEunk4XUnIIKd+/HGtuFaDbLG0nEdOrCV4XG8cg1XnyNtNXSYL0C7iVep4Q+P4uIOWXNh4L2fkuTJcQkRoemO/xHVnxBJna5ID2XtVdSvvuYV1KraIeR/f/NrALzjVT8AwPePHObmF2tv/jTL8D1vw22AYCmB4OVzBZ799ue5/MZ3A/DwVz4EwNWveRcAxw48xbOPfhtYvY0PQDNx1CLYUxXGChrcHrQafb0B5dTBcKi980UGB7bLXZ0b0AvKN2Jt2VMKlwcti74mH2oRIBpkH4r0uYKvPc99cUy2tBVPN9NA/Wx+3SKwsyxMlIT5jiNxmnDo3VMvAF8JhSSDbuIoRxB6QicVZjvLKxg80SRDM1lKJtRjqMduQ6181vO+jBdFEw0bqAjI8vdjQGt4M4BzLhGR/wL8O+A3ReQ259wsgIjcDvwk0AF+o7ePiOwGvpB/eptz7kDfcz8NfMI5t2zoi4i8EviT/NO/Wvn8RiUrKgEGDgYeKi77fLreYedoeStOb4wxxpy3ROQS4J8DtwF7gBR4GvgE8KvOuWMD9pkA/hXwVuACYBL4LPCvnXObajtojDHGvNAsCWDOWC/IsN5TtBL/ZKTz03jVIbyh0YGJDX9suyY/2s11HU8KJYLxHYAsSwAsPl+s6H1020iphIQFXHdpSmzW0FY+XmWIrLkw+N5PQfJkIwmRJsJs4nNhsctMqm1fBhyZv/UmXRzc7nb5xAP3sX9iGy+/SFfnT88e5YodOwHwvaWA3FZUAwD4eXuhNIl58It/yejOC9l75asAuPtzf7G43Yn6wvsCOyserdhxqDF4NfpCPDigHHpLffPjTAPb1VDoZI7p1vLziTgmSsLemjDf1RX0vaD8TMfRSRylgjAc9a5bB/12Uphpa1IgEE0MbC/pO/J8HabbGXG2/DpGCrC9LIwX9YJLvlYUbC/BXFcrBYq+BuCPNh3FmhCF2t+/mFc9lAPhaMsxm38LjxaE6Y5jZsDruJEe/id6X+rdXpJCEw0nq5tqImeiJDStJdB6/RrwWuB24HER+SLatucW9Fvup5xzz/ZtH7K0oj9ccaxfAN4vIt8BHkfzMpcC1+XH+ibw97bqwuN0eYZuYDugamHZ55P1tiUBjDHGmE0QkRvQ4H0FeBL4OFAAXg38MvBjInKTc+7Jvn32AF9HEwaPAR8GrgT+LnCHiNzsnHvohbwPY4wxZjOO/9+nMWeAlcN6s2Yd126SNevauz8I8cd34A2Nbuo8vcCzFEtrbifFkq6K38pWQLlsfoZ06ggkMf7Ydu13XyzjT+wkuuTF+KPb8IplgrHthHsuOeE9S6mCFMsw4FolCPHCAiQxWbeNIEipevxBuh28QgkJo8H33pc8WfNaPB+ybN3Jk3R+GtdurnqP3tAort0knZ/unYHJJKCe+GwPUzguleO4/pKLefXLXwPAH335i8w1m7zvB1+7uMXlO3cD0OpqPxfn8jqEDc0E0ABfGuuxjj31AHtfcjsAj97zaZrzk1zzmncvbv+Nz/45cOI2PuUgX43uHJneNgCx09Xpnuhq9IKnAeViIIv7bSsJO8pLf7aVhB0VIXMwveJbZKQAu6vCtqKwowQ7S8LOknD5iHDRsOAcPL/gONZy+ALbStrWpxlri51qCOLBfAztVC+zkej2zUQD/51UHyuhnmssTwAk+XPdFDzR67x8xGO0INS7em2lAMTpdSR5smOsBLvKwkQRdpahlWqf/8306e9Zb7/+dqKDiKMNFgo1Ykcn1aoCc2LOuRh4E/DPgMPAW4CXof+5v8U590cncbj/hv6nvowmFX4EHTp8J/AzwE3OuS0bBnPcYOABSYCx2vJKgEmbC2CMMcZs1m+jCYBfBS5zzr3DOfcW4ELg0+gq//9nxT6/jyYAfh+40jn3HufcdcC/AUaAD4iIxVOMMcacNawSwJyRXshhvSdaiX984HnrJccOknVai62P/JFxvMow4hzJ3BRZY37NKoj+mQkaB3crxqf2NvTAQ2cAOHBJjEu6eOUaWd/qe50fIHhD47hW/bh7P1VtjLL5GdJCCX98B/7Y9qUKEN/XlkLtJunUkWXv02TiU+qG7Iti9hVi6olH7IRQHLUg4x1v+dsApFnKr33irymGET+fzwM4cOwgu7ftAiDyNz4QePF+8/8H+KEG8eaPPs22i64D4IHP/wkiwrW3vVfP/fh3mHz2EWDtNj6VEHZVhIkSgDBWguFIV403E2gn0EocBV9XozdiDSbvruow3oIP3QzSTNvk7ClBKRCacXbceXZXhWokZBm0UgGBDE0y7CgL5QDm2nCkCe1UZzVEnq7+9yUfIpxAKXQ4J4xEQuDBfOf4IPp4UZ9vploZ4Bx0Mn0N2qljONL7TjNHJYThgtDN4HDTMRQJ5dDRTTUhUI3A84Tn6o4n59c36Hc9Tqa9UuBtPKtej7WSo1cRYU4sTwT8Wv7nRNs+zSqTw51zvwf83pZe3BqS9MRJgND3GKlEzDa6gA0HNsYYYzZDRMaBq9H2P//a9VbtAM65hoj838Abgev79rkOeB0wA/yD/n3QJMC782O+GfjYqb4HY4wxZitYEsCccV7oYb0bCTyfCtn8jCY3Ji4gLFZIu51lSRAH0KwvVklk+T0fNzMh1mXZUizByvi8yyAD8QSJItKFOunUEfxKDX9olKzbgSzFK1XAD2BuetV7P1XJk5UJEfE8SFPSycOrzIIQnuuGtDKP8SBhNEgJBVKE6WCC197wegA+cu89PHn0CO/7wdcyMTQMwNRCnd3bIEkTAn9rfhymcRs/LOKyjPH9LwFgbvIAj93zaa565euY2HM5AI9+8Y/ZUxWasQ6uHdTGZ6SgwfKJkgbbC74G8tNMW+IEnqOUB/87qa5Gn+5oEL0SepR8YabjyJy24SkFQjt1hL7D94RK6GjkK+bHisJwQWgl0Eq0hZAvIKL7VkJhW1mYbjraqa7ATzMohBr8biYaZR0pQuaETgrlUBiKHILwvRm32JbI92CoIDj0XNXIMd9ZHmxvJXruSiTUuhB5wlxXkwmp0wRI0Yck1dxWveN4fsHx3Oo5qZO23n79vfkMm5ntO90GcdYO6FyXZCvbAQ3+5pqoFReTAFYJYIwxxmxKr++p4/iy4X5TfR+/NX/8a+fcsp6szjknIn8J/ArwNiwJYIwx5ixhSQBz5jkNw3pPPvC8fPX9VrYJ8opl8OSEVRDRvstwSXz8zIThKng+Uiwdv8I/icniDv7oNnAZWX2adOowrtXAq1SRQllb+AQB6dGDdJ95dNXkx6lMnvQSIut/jbUt0GTiU/YcvjhSJ/zM6+6gVNBV+e//wmcA+KU3vBmA6flprtxzIQBJ0t2yJEDP5DPfYdtF1wLwjY/8d7aFMTe//RcAiFt1nv/SH7OtKGRFmO1oIDnwlvrC91a/+54Gx4ue5nkm29qHvhRoYLwR60r9aiiA0xY/TpML9a6jGEA10BY7oN2ZEidsKy0N/A19PRdOg++gwfpioNUE4jkcGnTfVhEEHdjreY5WLMy0tRVQNdIV/cfaepzMh+0lYUdZA/9znfy4PmwrasugUgBJqkOD+2VolUM11EHD7b7n41QTEO3E0fT19Zlp6zVG/sZ6/w+y3n79xUCYbLkNn7cWapKlvLJbvTnnrGwHNGgmAMB4rcjjh+cBHQxsjDHGmI1xzi2IyFeBG4F/IyL/oreyX0Qq6OBfWF4Z+NL88b5VDnvfiu2MMcaYM54lAcyZ5zQN611v4NkbGj1+9X1zYdVkwclYbxUE4uFv20U6c2xgtYAEIV65gtSG8YNgcYU/eYAfEbJ2h3RK982adbJmHQlDqsND+HOHaD37BNn8HKt00QA2ljw5GSefXBGa2dL1/uyb7wDg0UMHufPh73DzFS/mJfsvAuDZZ77LddfcDECxsDVDN53LFlsBBZE+thtzHP7S7/Piyy9n50teB8D37vwT2o35xYG6w4Ve4Fpb+WiQX4g8YSF2bCtCJYL5rgbAQYPstRAKvgbQLygLtUhIsozdFR2m2061Z38p1BkAsx1HN4OS7xgqCklZg9vtRIfy9gexq6Gu4E9EEwElX1f8l3wd2ps4qHhCLFCONLhf72rroSxbaqOz0IViCLuqUI2E2ZYj8mGoADUHx1pwpOkWkw89SaYVEpVIqxLiTBMCpUBbHIF+LfIdRxp6r5tpybOaXnul3vuyUi3SKozGBoYCgyZTxoo6fPhEswfM2S9ekewKg9WTAD1WCWCMMcZs2k+jvf//GfBOEbkfHQx8PRoT+RfOuf/et/3+/PG5VY73/IrtViUi24FtG7loY4wxZitZEsCccU5Vv/mTOf9qgm278Md3HL/6fkCv/g1VCqyzCsIrlpBCkawx+PVJjh7AK1YgjIAMCQv6hOj9JYefJWs3tVoAcFnCtiBhouAY7jwHc9N000lmi/7iCvvVkgEnv2p/M9yylf4a8B98Xa+4/Equ2LsPgP/5xc/hnOMnbrkV0JX/1bIORI6TmDAIcc5tah4AQNJpEBZrdJpzjO6+AoAnvvB77AvrvOjN/3Fxu/s//j+07Q664p9MEB/mu9q6Z0dZqEXgiWMohGpBZzws5AN3e7opjBYgzrS1j0PYUxH2VIUwgG6iwfpmDKnAjpIQO+3BnzqYKEMzEY62XP7qql6VQeA7Ql+ohvoyp3mg3WVwcAH2DWnQ38sH9c7kC5bLIYS+JiCiQM+FEwKgUhBc5liItSIgza9lkCjQ1kLby7rCP/L13e5mmgTxBZwT6oFjtACNRLfJOLlqgChPcAzar79f/1hRA/W9FkHFQBMwU223oUHEtTAf+Cw64Nmc+9YzEwCWJwFsJoAxxhizOc65R0TkBuAv0IqAi/ue/jzwpRW7VPPHxiqH7E2gqq3j9D+Ptg4yxhhjTitLApgz0pkwrBeWB/KlUMQf3wFBuGavfsII8fyNVQqsowpCwgivWMF1OmtWQSSTh5BikWxuFq+c9/hPE9K56cXXTVfwV9gftNhDncr8AnMLDToLC4TiuLDYZTxJKXVDnusGlD1WDcCfusA/gGMiSJkIEkaCFB+d7DWbrJ6keMdNtyx+/IGvf4VSFPH2V+i8r0cevY8XX/EqgMU2QBtJAKxMHIRF/X/A7HPfZccVNwBw4K7fZ2R4jInr84HA93yM5Ohjem7Rlf3VSFfMx5mu1g8E9tQ8ojw+mGXazDTytff+4vl83TdOoZMIpUAD04mDRkeDzNVQA9bdTM+XOliINWgfOdhTRVf8OxgOQTxHwROKPiBCIdDAfy/hkAg40QHA7d7sAG/5dSWptvDxRRMKzUSD6d0UFmJH4EFDR1cQ+Y6Cz3GVADvKWjmQpI6Rog5GTlNNgnQzPW831eqIWgQTZY+jDbeY4GjGuop/reB8fxueXl//QftNt/OqhFATHIGn20623AnPsZZKqBUAlgA4f8TrTAJM1AqLH0/Ot7ckSWmMMcacr0TkFuCDwBF0CPDdQBl4C/CrwN+IyDucc6eiv/9vAX/V9/lDp+AcxhhjzAlZEsCckU73sN5BLX+8yhBSKBIffHrVa472XY4/toOsWT9hpcAg66qCEB8KBbK5aVw8oD9J71hZCu0W8eFnl1oBrViln83PsK0SsKPYBRKebKZoMF37rcykju1hwkvKLfZEPg5ZVwB+azn2RTF7o5hakFJPPGInA5IU4bLreOfNtwDwtUe/x+zsMd71qhuolUoAHJ6f4xpf73EzgbX+fXvvdRp3KNXGAZh86ts0jz7J3tf+OF4QAfD0Z3+LHWVhOF+l76G992sRiGhrHsmTA+3Y0UkhLgrDkVYNhJ5jvqvtfWohVALHsVgIPb39ZgwNp0H4bqqJg0oExUyD8eUgD3ijbX0AhiJtC+QQPDRZEOYr6quR/kNRCTTwLk6TAd1M2+NsKwMZOB9aeTyz4Gug3Ie8DZEmDPz8+jIgwFHOWx6NFyHN9F59T+9rZ0Vf2/luPvg40SSJQ68tyWA+1vOMFATBMdnUr/uiffxrka7in24fv9p/ZRue1fbrqcdQj92aVQMnI/I1oWAtgM4vK5MAvjf4589odSkJEKcZzW5CpWBDI4wxxpiTJSJjaAKgALzROfds/tQs8DsiMotWCPw3EfmUcy5haaV/ZZXD9ioFVi9bzznnjgKLK8gsqW+MMeZ0sSSAOWOd6n7zqxnU8scrlPC374Ikxh8eJ52bOm4/r1xFCgUQj+zIc4sB+pWVAlmntea1n7AKolrDdTonnBvQPzNh9VX6jvF0gWra5dnOUhBdosJi0sB3da4odpjPPB5pFoidd8IA/FaaCFL2RjGh55ZdI/SSFCn7ophW5jGZ6I+0l1x8KZfu2gPAl++7i5dEdX7yJl2Z32wtcNUlLwEgTVN839/UKlvnMkQ8EI2AH3zg0+x95dsAePIbHwFg28vuAKAzf4zkqa+wuwJdBwudPCDuadB+NPKYKDoONByHGo6JfHhuK3aQ9+YPRYh8wGlSYKajQ4DHy7qavh1rEiHNoJLHEQuetgPyRGcQFAOtBgBoJ3q8gwuOycBx6bAwWtBtQx/KeUAf8lX4qZ53LB8iPN/Wnv+gwfE4/3rRhzDU4Hmc6nOhpwkH39Pjg8PL76fg6TsraPUCOA41IMuETgqHGtpeqBjoddUKejzndKejTaGZOjI0YdBMtJf/nqrej2Nptb+HBuA76fFteHr7jReFOD1+lf9WDR32WJqbYM4f/YOBQ99b9efOcDla9nm9GVsSwBhjjNmYNwNjwBf6EgD9PgR00f7+FwOPAs+gQ3/3rnLMPfnjM1t7qcYYY8ypY0kAc0Z7YfvNs9TSZ0XLn8w5XKOOFEv4w6O4uEPWXFi+b2UI/FBX8Hv+wHvxx7bjD42teU/rqoI4dgCCtQNC65mZUPYcI/nqehC86hB+ZRgplUE8RmmxJw5JurM0Frq0nU8r04jwagH4reWYCBJqQXpcAiC/S47GPvsKMeNBsliV8Hdf90OLWzz87TupFou86mpt//P8c49w+eWvBMDfkmoAb9kx0s7SgqAnvv4hKpVxxq7WgcDTD3ycopeSOl1tP1LU1fIJGhSvRdoCpxwKja6jEAjjJV0BH3oaYHfoPlH+LeYB2yt5//9MkwpxCgsJVAsasPc9DXh7mQb0k3wV/1xXhxKLvpTMdxzgEWe6TzXQ1j/tXhueRM/neUsr66c7UMn02puJVgjU8vY6nUwrANopbC9pVQBoID11UO8KIwVNGiykjnpXryUKPBKnAfodZd22kwIBFPLXwHNacdBMNOhf8LVC4Vhz6b3xBS4oC80EDjWWVvtfUBFKofBcfXAEvt7VKoFKqKv/T4UMFmcLmPNHki1PAqymVlqeBJhrddk5ujUDzI0xxpjzTC9gPz/oSedcIiINIAJG8y/fD9wBvHyVY/a+/sDWXKIxxhhz6lkSwJwVTm2/+SX+0BhSLC9LAAAaqM8yXLuFREW8ytCyJICEEV6hBGmMy7JVe/W7dgt/fCeEBbwwXHVmwImqIADCXRduemaCLw4fiJ0QjG3HGx5HCkVcp41zKSN+TGWoynSnQuTN4rX7IqyrBOC30sokxWBCPfEYDVLKnqNYGeZnfuiHAfjWI9/ivqMzvPn6WymEGlTzSsMApGmC7webrALQfdOkix9EzB78Pjuvvh2Ag498jakDj3HlW38WL0/YTH79z3CiQf1ynsMJPO3FP9vW/vbVCPZW9T1pxhqwH/I0WBx4+scTHYIbCoyVdIV8XTQ43s1769e72sJnIq8GSBJ9vpPkQfd8u9RplUHBFxqxziY41oKdFfK5AFpV0IiXAvyegyhvKdTKW+l0UgHRlfqJ0+RA5vRaRwoQ+HqMlSvrG7EG++c6cKypAffxoh6z4Os9pk6P63vQzqDe0tep4MNsV+9pKNIe+8VA2wpVQhguCI6lgcedVKsIOhmEqWM40tX+/fMMetqJoxxqsmOrVv/366baGmmipK2YzPmhfzBwsEYGaGUlwHxz9dZvxhhjjFnTofzxpSIS5O1+FonI5SwF/5/OHz8K/BvgrSJSds41+7YX4N35px85VRdtjDHGbDVLAhiTk0IJr1wd2GbHxV1cp4k/PI7rdvAKJSSMlnryi6/RTj/EdZqr9uqX6pAmGqICWX12zZkBJ6qCSKsjBBMXEGzfQ7Ywt6GZCakTUqBQrdIdHocgIJvTxEFREir+As2uIyhVSCvDGlWuN/rvaFkAXocFb53+JMVadEaAbv8P3vYOKiVdMftbn/gLQPg/Xv92AOabC1y8+1IAsjwJsBUzAfy83//0s9/l4uv1XA9/4Q8B2H/jjwLQOvYMzae+RggUI105DxqUxmk7nGqogXcRHdrbEZiNNfg9FGqyIPJ18G4sGmwXBwuZfvsNF/R4hxtLrX9iwOVBf+c0kL+QaGC/FECSCp3MUQo0cD7XcaTAdFvoJCx+PfBZHLpbCpZ69A8FwmTLMZVljBQ8BMdM1+EhVAKoFXRgcZzCXGf561cO9XqONR2+JwQeCI7hgiwOIy5FUPTya3VLA4SzDCTQhESvusEBoSeAY6wobCsKGbqv6w1Ezhy+6Md6b0tB+DBPsPTuM/C02uFUacTaeqgWadLGnPv62wEFa1QCVAoBngiZ0+/NemuD06eNMcYY8ymgBVwI/EcR+ee9RICITAD/M9/uLufcEQDn3AMi8jngdcB/FZGfcc71/hH/V8CL0AG/n3jhbsMYY4zZHEsCGNPj+eB5OlB3gKyxgFeqapC909TAf49LkUIFl8RkjYWB+3vlmiYAREinj6w5M8B12qu2P1o2tNj3kTDEH91G1m7iGvMnNTOhmQmzic+l1QoLhQLZ3NI+2rPckThhqD3PocpOuuVoRRJAA/BRISJwZSSRLa3a6CUpQll7pXQojhTBDyL+/lvfAcAjT32Pbzz8AC+//GquuvByAJ48coDrLrpC94mKW3KNWRrj+bqsvzS6C4Buc57Hv/Yhtu+/irFLtfXQs1/5c9LUEQUwHOXBf7RdTidvv7OtBL4P9Q7MdDUoDTDZ0hXxzul29S4819DqgOF8RXzXQcmDsYK2GmrG2qs/y8BlupK+m0KW5H33I0eSCs3YUQr04HGmFQYjRd1vrqvB8k4KQ3lrIZwG/yfbjk4qOuw3dRxtwZFmhqCtbraXtFJgsumYKGuZQtFfaoETeuDjONLW85QDxwUVfc8Dz1H0oRELSQrlgt5jkmkSIBQdcByIVgREnh6jFTuKgVYx7CzrsOTE6X69ioTU6QyCZl7ZUPD1NYx8oeAvJQEEaCQ6Y+BUqcc6gHi8KIwVxYYEnwfidOk9DoPVkwAiQq0UMpdXAMxZJYAxxhizIc65IyLyi8BvA/8YeKeIfAsoAa8GRoAjwM+s2PUnga/njzeLyP3AlcC1wBzw3r7EgDHGGHPGsySAMT1ZClmGeD6DQnFZs07aqBCUh/BqY3hz02Se9K2+b+BEyJr1AXuDV6niVaokB58ZWCmQzc8Q7LqQQqlK1pgf2CrouKHF3TaZeEi5gnhC2pgnPvDUSdy0MOVXuaBQZZtrcCSKNAKaxIs9yye8DrNZxGzHIaUKEhVwXV3S7VWHKI8OkxUrBG6MqJMe19poM3pJiguLXWbSfALscRy1IOOpdsQbrn8NE8MjAHzgcx8E4EdvfSsA3SRm1+gEoBUBQ+XqploBLZ496YAfUj/0KBdccT0Aj3/pz6hkTV761l8EIEtTHvzcHzIWayDa5av0W4mukMfTJqSRp0HpOIRCqs9FnrbgqYQafM/yIHwzX83fTWFHGcaK+lzkafC94Ov+nVSTA5Foq59WqomH3qs5XBSiPBY5FAlZ5mgnQrWkx26n4Dq6cSXQtjtJBu1UmG075rqOJ2Yd7WypbU7k63yBbXkgHtEV+p5ocil1QKaVAUcb+ret4Gv7num248AC7K1qNUAjhtkObC/ryvzxom5byhMfEyW9n9DXeQqe5+gkOny4HkMhcCz0tSGqhBB5QhDBbMcxFEHRF0Q0KZDmCZnxItASqqFj+hS0A+qZbmtguBIutYgy567+dkCht3adyXA5Wgz+z7csCWCMMcZslHPud0XkO8A/BG5EhwUnwFPA7wK/5pw7umKf50TkpejK/7cCPwJMAX8E/IpzzoYCG2OMOatYEsCYnOu0yJoL+BM7dbhvH69cw6tUkUIZKRRw3S5edQSCpdX3ydED+EOjA/v0SxjhjW7HNRc0wD+APzyOV64hQ2O4pEvWaS9rFZSN7cArliAI89kC2zUZUSxr/xgRvKFxnHMkB59e933PjO7j4MRe9noNLurWqbuQOO7gtxpUklkiXzgkQ8xIUXvP5EOPwz0XEUzsYrSU8nRao8MofhzjZQne7PLWRiutf9CzMJkEjCcp28OUo7FHyQNPHJkTWhlsDzPqic9UEvDTP6QB/7mFeb76rS8xMTzGbS+7EYBvP/FdXnnFdQBUi9ouaCMJgJWJA79QBZYGAmdpwnc//hts334Bl9z0twA4eO9f0zr2NFlZ8NBWOoIGtUMvz/c4Dd47NMBd9qGVB6TLQT6I11/aN0S3byZaKVANoRBogD3NYKqtx0pxeJGwEMNMG6bausq+HArlUBMR7cwx1c6D60WP2U5GJxFGio5qpivkI1/P20x01f18V7dvJTCfB9h7w4IzYLINGY4dZQ3mx6mjm+ZzDXyYi2Guq9UHBR9G8hZAc12dM1CLNCmROEc31dZEo5Hu64kmOLqp1na3E00WDEcwHApHW/p5OdBZBZ2+1deNGKqBw/M0gRCIEGeOub4Ya8XX16+b6ir9OHXHzTLYSvVYBxD3hj2bc1e8bCbA2kmAWmkpK2QzAYwxxpjNcc7dDfzoSe5zDPgH+R9jjDHmrGZJAHPOW3/AGdL5abzq0LJAvj88jj+sffzxA9zCLMnstPZtSROy/tX3cRd/fAf+2HZdqZ/36feqI5BlpHPTywYK93jlmp5DBNecJ2u1cN3WslZB0e6dZGmCa9QJ912GN7YNCULtESMe4vl4w2N45QqtuLtqAH7xnEOjRPsuI7hgP4dHtxHHswzXDzOS1ClEEUllhMfS7YymdTwignAUF3dIZyfxxncQ7rqYbVHKfKPLlAPnJ3jFolYJjG4DIOu0liVEeq2M/OEx8ENIY9K56QGVA46y5/BF5ww82/V5SbnDDdUOnjicEyRPBByKAx5sFxnato/bXvoKAD7y1c8TpU3ec8u7CQP9MefH2sYoyzK8E6zAXUt/AiBpzROUhki7TYb2XgvA83d/kPbkM7zoR/8NXj4r4OjnfoOxolAMIHbgZXlQ3cuTAflcgCAftgswWsyD6p6+xcVAcz2tvBd/f1FEoW94rUMTAXHiqCc6H6AYOCqhMNfRAHo5EgQ41NCWT73hvCKwrwbVUGjGGWMFj22VvEVOXrHQTqAV50OD0WvcWQbQpIKfD/Jtxtrz/vm6IxBhZ0Vop452Cp2uJlMiT6iV9Rh7qsJMxxGKBuoPLDjSsl5LJz/eSKTXMt/VIH2vj37o6V/HQl5JUY/1RfBFmO+6xTkCPfP5PIDtRUC0lVGUzwMo+EI3c8x2dFjxWFGohBqkP9VOxQBic2ZZVgmwRjsgWD4ceN5mAhhjjDHGGGOM2QRLAphz1rLe+QNa6wySzc+QFkqLgXzEwx+ZQIIAlybQWiCdmyGdm1o8h1cbWUwaJMcOknVai+cVz4M0JZ08jIvbuHZ78LVWqtpmp9PSJeFueTTQtRrIrovw4i5SqeGNbkO8AJemkMQ4z0PEwytVCLbtonD1q8juu2vV2QLBtl0Eey4h2LFbr29+hqnKEJPlAqWkgZ+luGKJhldi18yT7G4fZm/Ypo6js3MnheFRan6H+Zl5nqXGMTyIm6TtplZNAIxM4C/ML77Wi+ccHtdoNhngEWzbTTI3RfL8EyTHDjARpEwECSNBio8GxcuSMuRlIPn0V8iTH2hvHeA9t9y2eH//+65PcXnY5G03vh6Awwe+zxUXXZXvpufdCn6hAsDCgYcZvkgTEM9+7jfpBBUuu13bij7/3a/x4P3fZKIMvi90E+gA20IohZDkK/sdLH4QeLqavzc3IM1bABXzioD5bp4IQFsFjeQ98wuBBsuzDMqRzmuYaWdMtWFHSfdPMn1+pqMDchuJrshv5oHygw3HlSOCV/DA0wG/HlDI2wB1PRgqOFqxMNOBHWWhFAiNGNqJI8k0ETBREmqRVh48PZ+ROp0fMN/VljxDkVYYpE5bDAkazJ8oCXNdDcAn+cDiaqQB8mokFBw8NQf1vB1S7zUYD/IgfqizFZ6ah3rqBrb2SjN9jecTaHT1O9H39FpmOo5WookR0Hsq5wOZLUhvNmt5JcDalUhDpf4kgFUCGGOMMcYYY4zZOEsCmHPScb3zs3RZa521WtX0B/LDvZdo+5/5WV3V3phftpI/m5/BH9uOPzS2GOzO5mfI5meOq0AI91wysNWQhBFSKJN1O0hUIJubPn5mgPiQxnjVGl6hjBcWyOI2OKethvx8mXiWQaFAtPsSXLtFOnX4uAQIoEmO6jCu2yGbn8ErlnC+B55Pu1jDK5bJ2i1IU573hmkFjrHWArW5gxTGJ3DDYzw902ASn0mK9C9Lz5p1/KFRJHOaCCmUkEKR6KIX4Q2PauKi28FlmSZJogLBxA68MGRPNsPuziS1IKWeeMRO2BakXFFq03XCI62I2TTIW84stQPaFyW8+6bXAPDIc0/BsUe49oorGZnYC8CBZ7/Dy3frQGDf35ofe845JG+N1Fvx3zz6FMeeuJeLX/4jFCrDANz1l7/OsbajFnkMBdBx0I2hm0A1AC/Qle+dTD8vBUsDcHt/mgng4IKqtrhJMg1YF3wNkPf6yXuilQatBJJMGClA4Hkca2UkTtsMRZGQOG0HNNdxTLWWEgCgbXZaKZQFuonQdfoPRTfWRIUOjBYW8pXxI5EQiONw0+l8g1wzb+kzXhQON/T58aKwvSxU8vt06Cp70PvJnDASOQJPW/A0YuhmjnYCzVATDu1E8z6h6Ld2NdQkQOa0BVGct1DCCalz+QBhbQmUOX2NhiIhc47JluNYs5eO0sd4RaA/zZMyW5M2Mue7/iRAeFLtgKwSwBhjjDHGGGPMxlkSwJxzvKFR/PEdEISk00vznfpb6/jjO45rVdMvm5/Bddr4w2NkjQWyxtzAYb4Art1aDHb3r7Zf2XpoUKshvWAf8TykWMK1m4NnBuSVAVKsIkGIy8OxXrGgiYY00aC07yHiI7VhoguvpL0we9xsAQlCpFiBNAGnAams3QJ/Ab9aRaJhKFa0Z4tk+CMTTE4mHJltUGxXKLIDifayUKyTNA4Pfv26HSSKkEIRPJ9g5368sW24VoOssZQEcQDtJl6lxvaRChfuGIHnj/FsJ6S3LH67JCxkQscJF4Qp7cxnJl360XU0Fl6xZxvXXnolAN+4/0uMBwn7X/YWvZYspTa2R8+XJx6cyxDZWFh3cV+XgfjMP/5Vhi7VuQOT932Q4RAuv/5tAHSa8zz/rc/gOQ1MNxNd9R55kDjtf5/mBQ1ZBolA5mtAu5vqNi7v8V8JdZW/L1AJHAVfqIYwVoBaQYPi812od3SYb5QPBt5RdlRDj/muYz6GMHV4QIAOBA59dCxarhJqkmCy5dhVE9IsX3Wf5kmAfFDxaEFb7RRDRz0WvAFr7uvdpXY6miRwFH1hVxVACAQWYsicYyQS9g3BQixMOEc5FOY7+Sp90YRH4On2s229P51toK9TK9HXciTfNgyAVL/WzisCeqv9W4ljsunoOD12Jznu0hf12htlq29izLolJ5EEWN4OyCoBjDHGGGOMMcZsnCUBzDnHHxpDiuVlCYB+g1bvD+T5uDTBxd1VEwBAXmXgLQ7MXc3KVkO9CgWvUEIqNUhi0rmZgTMDXNzFJSkShuAFOJfhFQogoj34cxIVtPJABIIIwiJubnoxAeKPbccf3UbWWABPcNlSQCprzAEOKVWhEyBRRNZMcK0G6cwk6dw0zUKJWAr4sc5akCDEJQNWqGYpeEVwIGFIML4DkGUJgGWbN+YZK0aMjI3w+LFRiHW7kueo+RnN1Gcu87ggTBkJUmZSn6XqA+H6V79x8VjffuCLJM7jZS+7HYDHn3uUSy97Vb6p5A+bmQmg+/aqABqHH11MAsw/8GFSv8iO6/R6Dn7r0+wrd/FEKPsaoBc0kF4Itb9+M9EAc6+ffTPvud/K2wSV8uqByNNV7lNtXYm/uwxRoPsIGvifjzVI3s5Xs9dCCH1hyIM405XxQ5FQCvRYYyVhvAhPzjsmW9qOp+BDkmrroLKvVQcLMUSi5wtEkxTjJRguCJ0078nvsTTQoE9/O51OBg5HoyskmWMh781fDQWHVkREHkS+thKaacFkxzHf0aC+QwP/caZth6qhEIq+fuMlTZhE+bDi0NPtyyIsdB3PNzT5UYlgJoHDDZ2TMFESmsnq/f6LgTDZctYKyGyJOFn/YOCh/iSADQY2xhhjjDHGGLMJlgQw5xQplPDKVVx77QHArt3CHx4jrc/h2o3BA4OzFLIM8fyBfcUXz5m3/NHJqWsbNDPAdVqkRw8iheLirIGB15zEZO02wdAI4jIQb3kCIFxqHeG6LcT38MrlZXFZ12njlWt6T0mM+OC67b79OrjWAi6OwTmyxny+en9u8TXRhESMFAo62XYQz0fCUIP+no8Uy7DKUGYplqkWfEbDFs2RXYR7PbLpo6SNObzWDD7a2x6ERiYM+Rklz9HKNKAfBiHveNN7AXjm4NM88txT3Hj5NYyO6HDidrezOAi4f6jvRjjndHhzmiB+QHfuMKOX3gBA5+jjTD15P0PXvYuwNATA41/9MGMFoRiCOM1BdFIgg1oApUjj5p1kaaBvs6OBfoCRIvgOPKcB/k6q7WwCAXGOWkH76s+1odurHsiWWts4dPW8j/bJLwSCJ7q6ves0sL6zIngixFlGO8mP7wmZ0+shbyNU9LVqIMk0CZA5DahHSV7RsMpS+ZXtdCqhvpezXUfR10C+58F0B8qpDkQeLWiCJHb6vI9jrgvPzDl2VmH/kLYFqoZ6j1Ggx++dp5E42ongi+B7eo+t1NFNhU7imGo7HR6MtiyqRUtDhvvVIkidI8mczQQwWyJOl/41OVElQP9MgG6S0Y5TiuHayWZjjDHGGGOMMWYQSwKYF8zKHvmnhOeD5+HWCMh75Sr+6ARSrBD5gbbgGTAw2HVaZM2FgX38+0mxpIN/13lPg2YGSKFIuOvC41sF9a55aJR06hAuS/Br1+KVqrhOC/F9jSx7HjiHyxxCCghZuwHi68yBMMKrDOGPbscfHQfZges0QYR06giu3dCWQC6DLB8v0O0inkfWaS5WQri4q/vhoNtFSmVc3Bl4vdnsFMnUIZ1ngMNxfADeqwzhVYcIvYzANelmAiJ4oxNIuYrMBaTtA4TiwEHihBC3rPXM2177ZraPbwfgLz/953SccMuNb9XXOku5ZPdlALQ6TUqF8rreo9UsJhHyKoDmk99g5KV3AHDky79PlsG+m/82AO35KdoPf4rhAALPkWQasJ9qa1C+EUAJKHraAqiZr4LXfv4ajG/G+l7EwHQLEufwRAh97dY0Ws6H9WaaTBgtwEg+RLeV6Gr+guiq+NRpoLuTtyQSTxMORDBWgv2J8My8o1YAX7R/fiPWFfkjBT1+O9Hgf+jpqn4/X3EfeZoo6Az4a9ffTifKtwVH5EEtEiKfPCCvVRDlRO8nQe+t6MGCg7mOVisUAuGiYejklQWBaBWFI1/9nycxtGJAWwUVfG1DdHDB0Yjd4vnqMYRtnVUwVhTaiSPNWwSNFSVP2jhGi8JQQd+P/v23WmTx3XNekp5MJUC47PP5ZpficOmUXJcxxhhjjDHGmHObJQHMKecNjS6ufF85pHbNdjwbcYLV+/7wOP7wKFIdwXXauDSBNQYGr9rHv+/eXLu5OHD3ZKycHzCoVZD4vs4aaDdJp44QH3waf2wHhT0Xa7JDAHRlOmmKFAINtqcxrjGPOO3p75XKeMPjSBgBnrbxiX28MMLbsYd09hj4Ovsgizv4Q6MQx3kVwPL2RFljARd3cA7otvGGRpcN+pWhUVy7RXLo6cVkh2s38YbHoS+XIsUyXnUIxCNu1UlKHkG3TlafhSRGqkN0h7ez4OpckMwwl3kE4kidkOUJBb9Q4ife/ncAODR1lI994062jW7nhle/AYCnDjzJJXs1CbDZBMDie9U3T0CKNX1N4g6P3fUnyPAedl59q17PN/6CHcUuzkGjK0TBUt/6qY4Gq7eXNNgvveC46Ir7Vp4MCDwN2h9qatucIG/pc3BBA/ULHWG4qvu0Uw2Kh2iroUoAvq/HFYBEg9si0Ei0yqAW6ddKAVw8on3+43z1f4q2DdLhwhr8L3oaoI88aKaaFPBCRycVAl9nOKzU305nKNTZBsMF/Xot0uPGmV5/LybaivU8caZJj3IojJVgoauJhoUuII5qIJQjTXR4ns5AmI+1GsDryzktxDDfdUx3jm/rM93W1dm94cpBPmxY8rZHC/ncBl9goqTXHLYd0222TC3UCokVMV9zDjq5wcDRss/nm122WxLAGGOMMcYYY8wGWBLAnFLBtl344zuQYnkpsL1G0H2zXKeFi2P8iXENVPf18vfKVfzhUfAD6LbJ5qc04AyrDgxerY//yuD8ViQzBrUKIk1JJw8vS5jEj32bIE9kaLhTV8Y7P8DzfbIkJp2fI23WIYzwfB+Jivr6JAnZwixesYJrLZAlERIV8IbGISyAhw7zRdfup3PTZCurIIKAdPooLo7xCkVwbbwgRAoB+CFubprugaeIn/7e4nuSTh/FGx7DK9cWj+cVS0gQkTXrtAtDzHmOPY1nIekCgluYxxseY744xvDcPONBSiSOA92QTnmYcGQ7t77iRvZfsBeA3/rynUyHQ/yD2+4g8PVHWzHQpdXtTotiYXPBs14roLQ1T1AeoTX1HNVLbwLg8L0foT4zydXv+hV934DJr/wxpXw1+mhRg/pH2g7nhGrkCEQW29i086G7caqB5yjfr5NqABt0/21FmO8KSZpRLghxXgVQCLTCIEOD3yMRBL6ujPfynvntVIP9YR7QF32TNQkhUPSEkSJMt/U+dxY1KF4K9boa+XUMF7T1z1xXZwfETkicoxhou6C4L8hei3QlfSN2jBdhW1nb82SZrtT3JU9SRODFes+lQK/JE61k6LVQ99G+/5VAmO04fA+Cgg4CThx08jkKiAbyCwHMdGHUh64TCp6jnK+0X5kIqMdQj7Xlz1AIoadzAla2CGom2j5ovCjE6dZUBIwXteqg4Gslgjm3LRsMHKx/MDDAfOsUlaAYY4wxxhhjjDnnWRLAnDK9oDpBuGxIb29I7aCg+6bPNzSGNzyCVxvBGx4jmzlK1lgga9bxKkMQFSFJcN3O8SvcVxkYvN7g/FYY1CpoZZuhzqMP4l9wEYVLykgQ4bJMV+WnMRlAmuLaC4hzOtxYBFy2GHAXv0ramIMsQyOmIS6OkUKJYGwHyfQx0umj2h7I9/HKteMSH/FT38M5hzc0jl8qkXnajyVt1EmnDh33msSHntEkwPA4fhCQpalWhgh5hYjPZD2lNl9nu9fhaFYABNdpM1cYJqDMi706kZcR7NjD2NhFROUS77nhFgAWOh3e/+QRhrZdzOtuejMAjz73GJfnVQCbmQXQC/73jhGURwBoTB+gNK4JiOfufD9Rucq+234GgKnHvkn9+QfxIg1sCxqonu9oa6CJUBgu5EOCIa8W0GC078FYEaqRfi11Oqw39B2dTEjRgbZRoNvHmW4zXtKkQeRrIL3Xw77o63kbXWikuuq8FGprm8k2jEa6f5InHDwRKtFSa50khVA0oJ84DfI7tKVQK4bDTcdcR4/T6EITDe4XA6GTav990EB35uC5OuypapC/EgH5/RUDXZHve9oiaK4Lsx2h4GkSo5mCl8JwBEVf6GZwpOkIPaHk60yBnnK+qn801NekGsLOqkcrzWinq7f16aYQFHRGwmxncEC+3tV7qYSaONiMWqjH8kSTL+bcFy9rB7T2z6VqMaS/vsaGAxtjjDHGGGOM2ShLAphTxh8aQ4rlZQmAfqsF3TdiZcVBNjeNPzJGsOtCTQI05vHLNYiKuO7c4BXu6MBgr1zVYHdf8H09wfmttNaxtTXRNMmR58APEfIl1XEXlyZ4tSG8oTF93ZM4nzlQxiVdvEIJkphsbhqHrsbXobmiQ5IXZuk8/hDJwacXkyr+8BgSFSBNdPZBliKFEn6vvROQNRukc1Okk4cGXnM2P0P81PcI9lyCPzKmlQlhUWcQJDHp3DSHj03iNYW9vsdev8lCFhI7n8jTthlPdkI62y4k3XEJhUJEFZ+XXXoVAH/16OO0HLzlZa9hpDoMwNHJQ4tJgEJeCbER/QmEtL2AX6ySpQnDe/Tck9//Kq0n7+ayN/wSUWUUgEc/9p9JMpjPY3ZZ3mJnuCCLPfXbCTQ6MFzUFeYiQuDpPvXYMZQPzPUl7/ufav/7SiDUQg2MlwJt7VPyNaheDfQt8dCV8b2V9L7H4oDoXm/+Jhp8B80H+T6M+HpdkQd4ECcQBJBJ3qong3YGCwmUAw1O1mNIcEx1hCQfApw6mGxpBUAngwvKQjUUjjQdWeiY6ej8giQVJvICjYIPC7FWCvjiaKf6uvcSAkne/7+ZwI4yzHUdz8xru6JCnvhIsjxgmmkSoBNB2oXId0isSQyP1dv6RL7ud6IV+e3EUQ7Z9LDgSqgVAJYAOH/EJzETwPeEaimknlcAzLcsCWCMMcYYY4wxZmMsCWBOCSmU8MpVXHvtQPlqQfeTMajiIGvWyRpzOgx3ZAJ/eAIE0rkpspnJgQkAIG9X5C0Ofj3u+VMY+F8vf2gMXEb87BPa3qhU1f79aYI4nYcg1WEN/Gfz4IVIoaD31GmRLtTJ2k28YgmQPAIcaEBe/FXuPe/BP5K3DXLZYmskSPFqw0gYIiKrtnfqr6jwx3cgaGQ8nT5G1pgnay7wHCVazmfc6zAiMZEnpC7j6XbAtL+LxsSrqFSG4NgBfvammwjya/1f37ofEZ+fftl1AEw1FtixYz8A3SQmCsLFFf2b4YUFAOae+w6jF74UgO989DeIooj9r/9Ffe75Rzh038cZL2gA3/e0FU871YB1I1nqV18tamB6rqMry32BhdixEMOsrwNpMwfdxFEKtUd/6vKkAhqsL/r6tVYKDQfVgrbOydDBv+K0Nc5YUfvfF319y6uhrmqP3VL1QOK0pU4lzBME+b6Rp8H+ha5WC3QctNt6Lw6oBcITDcezC448V0DB0yD3roImATIgdUKSOXxxlAKPcqjfWb6nwfRKntxInTAUaUKhFWtLIdDr6804SDIh9LVlT+DlSQqnrY18T6/TOU0czLSFRuyIU60MWK2tj8dS0mUtaZ7sWDuEu7b1JhzMuSVJl97vE80EABgqRUtJAKsEMMYYY4wxxhizQZYEMKeG5+vg2mztZbInCrqvx2oVB1lzQQcQz04SbN+DBMGaCQAAyVf5c4LrPl36kytZs46LO3iVIbxCCfF0kml8+FmIiojfF/zPMly3TTY/qwmAyjB+tQpBBGGE+D6+PwxDIxCGRHsv0XZAvWB/3MWrDBHs2I1LU9LDzy2+jifT3imbn6a4MEUw9RxSn6Y7tnNZ0kDCAlNemaksZjxdoBiO0Z6e5NC8I7xoP4XaCI16nYyIO15yHQCPTk1x94EDXDgyzP/H3p9HW5aeZ53g7/u+PZ7xjjFHplKpWWkNli1P8oQH2jYYl20MNM1YrAIMXbgKWE03qymoXhS9oAqKaigKY2NDGxpsjLHBLlvYICRsyeVJtmQNqZwjM8Y7nnFP3/f2H+8+996IjIiMyIy0ZOX+LceKe+85Z5999jlxlX6e932eL79wHoCffPIp/vA73gFAEmnb6is1AACM02M1jX4+ltNdrv3GT/P2L/4GkrWzAHz63/4dai8sGtgcxJRtbn8e1aROr9d6qvn5PmhJ8LJRcX6cCoe1YVYLQWDZCLGF9dxQeiiDsKggsuZo4j4EnfLfL47F8BDanHyvxz7b1+dKnd7eAFWjsThrGWSxPqbyWla8luobO/dtZJFtBXrR4+7PNRZoNVkvxiBo6W7iYCuDtTZWJ4gc9Ry8bqiT784di+3LALSFxkVQ08KjcUOZgxcawQf9OnWGwgvTxoD+H4XnyAhI2+NOKzVa8kjUAGiEeaMGw4rbxfqoAaHHuBvOtNf+Hj4ziePIGDm5NXCvhkPH5xfNfRQDA4x6MS+0vfNdJ0BHR0dHR0dHR0dHR0fHy6UzATpeHYKHoFPpd5tzvZvofi/RO/eycSB1hd+/gVvfxgxGcDcTIMs18uZzYOL/ttxirqyMDhMnOsUvHqkrTNZrC2oNdrhGmBhcf3S0AeAGg/baCi7vIXWNSIM/nGDTDLt5Bj89oLn0xJHYb4ZrSFVC0+DGG0hd3WSo3D3eSdiKPFtRw1rkcSwJs8eZZwW74yG75JjeGJskbIU5G2HG2KXYxZRlcYW1kWE6iDhoKiQEHl5f593nVfD/V5/QAuJvf8tbjp/O3CyuvZItgNVjg6+xLmZ25VNsPvJOAPZ+9ce5mDdsf+HvAaCpllz6yI8RegMOsh7zLCa1sNdYzsqUQViwUVc60R9UoF+00/TzBvLYcKanGf5N0Nt6J6J+ymCovBA7nWSvg6ESFfTrcFwijFGReV7r31cXrRhtIGmjibyosN6LWiMhqPCeu+NYHdeWBreHJGmF9shoTJC1wqSCwzKQR/DQUCf4t3J90H6hx40sDBJDQMgiQ+r0tTuj8UfBq9Hg2un6xML1ojUdgsFZwQvsl0IT1Bjpx4YsMqze1aLR8xL0/PNIS5T3SsEZLd2tb/k140VYS/W6zWoV6Re1nv/iLhP6WWTYWcpdo4CGsZ5jLz42DU52Edyr4dDx+UV9vyZAflwO3MUBdXR0dHR0dHR0dHR0dLxcOhOg41VByiVhMcNtnblv0f2o4HeVOR+CTvTfroT3PjYOQrEA37SZ+i+eVLejdaRY4Cd79/difwsxcYyJEowBXyyOfi71zeLQylxp9q4TIUcCvu0NNd8/SqCpcWsbiA+EaqlGQLGAVPPzrbG48TpSl7oJkOZQlYRigRutY/uDF21V3D7eSXgoqbmY1Awjz7Sx1GKIFxMe8vucPnOKy+uP8rxd52J5jbPVlGGwTEJKVVUkacrDTKjsAZebPS6ZHt/x2GNHz/kTn/40AN/+VjUBPnNwyLe+8Q0ANCEQWfuKtgBWj7XtFkDx7C8zOKvPtfvLP4xzEZvv0jLia7/+79mNMnb7p6nijFEz53RYcDpq6EUpdYgozQJfLcgjLcZdRfxUQQt4EwsX+rBXGialEICyEZqgRbtVACpwGJJIKL3BGe0ZmNcqrm/kKmgPYo3EKbxO7i9qwaeGzTaW6KDSf2JZpKJ16qAQ6HEsqHtRUX3VZbDRbjGUNRzWhn4kRAYwpu1vgMjoxP7ZHog1DCM9x73KkFk1JCLXTuyrV0UT4MZSzYaNTG+b1dJO9stRoS9oLJGIMCm1KLiJDJlTId8ZPd7QQlnpa1o0wvKEqN+PIY+OI4cwcFCoQD+v1WAZJnoOtzJMNJ5ofpdS4M1MtwxSp+ZDE/S8bu0iuBfDoePzi/vpBIBbTIAuDqijo6Ojo6Ojo6Ojo6PjZdKZAB2vGn6yhx2M7kt0v7XgV+OCHG7rDHYwwqf5zZnz97FxIPMJYT7BDtdwG6eOj++citbFAr977RWXFL8anDRG7GgdOxhjkuwoS/9WVuaK37mCMQYHSJrrFsB4E0Qw/THECVIWGBeB6NaA7Y3aYHWHyQfY/gh/uA/WIEEFrFCVmLSHiZObDIjbxTttRZ6LSU1shefKmFW/QLRxikX/PGfjiPPLK2QcsCkLYme55IeEyS6+qGF4hj3vOFMXnK938f0e3/3lXwbAp3Z2+dj1Gzyytsa7z54B4LnZnDeuaTlwZI9Ftle0DdB+Dv1yQrr1OgAWe5e5+on/zPpbvpp4sAnA7sf+d9xojBWHm+wzR1hEnrMswQuLOKOJR9hQs25rXHuZ6kbLdg0qjq9nGmHTiJBhuDKHgzJQt1n+mTNETkgjQy/iyAQQgdgKiTX0neb4Tyo1AIzR6B1bCaWHg0KogmEUG7JUxXSMxvGARv2ssu8br+e1GruPgUPRvP7Tfeg5y0ElXFsIw0QjdtYyQxbpcWMLh6UaCdbo1kIeQdmoQbGetqJ/pU+eOcM4UQMmaV9XEXRroR+LmmDAKNXHZ16wTqfuFzVkVp9rLYVGDNM6MG8NhK0erMWG2Bl8UIHeyLFAv1sIu4Vwpmc40zMsGzUgnNENgNLr7dM7JLMMYzUArOFFhb+3dhG8lOHQ8flH3ZzcBHjp30ejXnz0dRcH1NHR0dHR0dHR0dHR0fFy6UyAjleNMNnHpzlu8/Q9ie63K/iFu2fO3+/GQf3C0zcJ6sZa8F4F89ttGjwA7iXW6G7caoyE+RST9XCnL2Ane/jDffzh7tH9bzVXVoW8YTYhOvswJutjkgS8R6oCmgoCSLVEjMU4g3EJMhgijW4AhGgCQTDW6vsRPCZOMWkfON5EeHG8k7AVNQwjf5MBYAcj7HgT2x9yfSk8svgMW5GhMTFPyggT55g4hlmDSTNsknN9EXjdaMkffNOjnBuNAPg7H/4IAN/5trcevf7XDwcALKqKXpIcif8vxwA4Ng5UzJ088Z9Z/4JvBuDSR34EkcCF9/0hAEJdcumTH2I9EdxklxsmxhlhI2qYe8eNJuKCrzF5DxcyvK/B65EjB3m7DVB5vUyVF16YC6NEI3UWjYraw+Q4Tqf2gjWG831o2in8eaWCtTX6mKJRwX1eg/eGhQhDK2zmhl6sE/R5pCZBHutzFV7PJbUqkDvXmgyocO8c2FbQT51hsw/OGt6+AaPUEFu9n0eNhNxq1FDcRhJ5r1sPqVOToWp0E6Bptw6sEfLI0IuFaW0wFnoGHh4CWPZLYWcpDGLDZmYYtMbAsobICoU3lEvBo6/bGcNWrsc80zO4dmuiF8P1BRxW+lkdJnBhYKi9RiXlbaSPRi3pc67ifO5EP9YNgFsNgBUnuwiuLoS4EDYzw0ZmupLg1wA3dQJEL92F020CdHR0dHR0dHR0dHR0dDwIOhOg41VlJUDfi+h+p4LfFXfKnL/fjYMw2SdM9l+xOP9S3Fes0d2OcasxsphC8LjxBma0QZTmOqVflXfcaFi9Zj/ZQ5Zz6A2J1jexuQr9R6/fOaSqITEYjF6jrIc0nlAuseMNLIIdbWCiGBCoazUZ5pMXxTv1rLDWRgAdjZEDrj/GjtZYl5K1sOQCM841M64woKHhsMk57G9he33CYo7Je/jDPaazgj/yZV8FwAuzGT/8xFNkWc6f/uL3APD0ZMojYzUIknbM/kFEARmrvypPHunxn/0+kmyD01/0XwDw3C/9OAd1Q40ldoEshKPc9+eajEPvOJ/UDMMS4oh5HSNNTeQgCSpIR0H7AAQV07cyjYrJI0MvErZ6mtGzVx6fRzMTHIYAXF8IjcCsERZ1G3mTqri+bIT9EoaJcDq2GBGuzmEr1+n1KoBrNI4os/paA/rYvC3cLUKbbd/oP521VP/UXsuFTw8MSTvpPxX9eWxhGiCJ1GywgIv1uAPg+lKNCt+WDGet4XBQCT4YyqCGQi+CojEYK8xrFdOnlWAxxNYQRA2MnUI7CoLAOFXBfz01jJM2rsjqhoRuUOh1Hae6qTCI4ZGxJQSd4m/a8l9rVpFNdzcAEqfv493E/NhCEH3OvRL2CjVz+rE+tuPzm+amOKB72QToOgE6Ojo6Ojo6Ojo6Ojo6XjmdCdDxqnMvovu9FPzC7TPn73fj4OhYr2L5733HGt2BOxkj/nBXc/qXM9zWWdxgTQ2Xw338/PCOJkOY7OMPdnBZDsZhIkeYn7gO3uv0f3+An+yDc9gkBfGE+YRo8wxmvKlRRJN9pK4x1mLHG7iNU4TDPaoT8U7OCA6o5YQBsL5NdPYiZ1PhbNrQ84KzfVxTQA1nWbBGzbU64lqcE+wSAoTlnC986It43alzAPz9X/5VGmP5Y+98jNN93Ui4dnjAI6OhdgG4l56yvRurLYBmeUiUj6mnNxi+8SsBuPLr72dx7Uke+uY/i41TAD7zgX9KYSIOa0vURFxrYgbOs9vEXKtTYhOovCPCk6JT8iIatZPG7SR8K7IfFiBiOD+AEIRxBoPY4oxm+Q8TOCxFM/0N7JQaazPKQPxqsl0jcfaWwqQWDkqdvj/ftxiBncKwW2ie/1qi0/aJBdrpfwlQ1Cpse9FzNQKl18n9RHulmdcq6KcOBg4mbS5/1hYI5067DyKrx6xbsX5eayFx1nYi1LV6Zady7Q/YL4VFI1ReMGi0UOp0M2A70+e+uhAWXmgWbQdCosfdX5kkRjidG9ZSQcSw8O25tl0Kk0oQYC01bGTCVmZJrTD1hqotR04slEF7BFYxPncyAiz62k8kvhyhUUa6xZG1GxFFo2bDtIZpLSSv7CPb8duAmzoBTsSV3YlRfuwMLStP1XiSe9gg6Ojo6Ojo6Ojo6Ojo6Og4yWvGBDDGxMDXAN/S/v0GNNr6MvAfgP9RRD752Tq/1wJ3Fd3vo+D31sx5uL+Ng1eb+401upM58lLGSFhMCYspUlVqNmAwcUy0cQrWtu64deAne7j1LWyWc7siBeMi8M2JnoVjAV8QNQV8TaiW7U9U/JSj744jkAIVnoK4DZqPNk7hts6y3o85Xe/iQsw1N2IzsyzqmqXNuFHCBgWnZUJpLLsuRvwSgue7vkYLeA+XS77vgx+gEfgz73g7AM8fHPCuM9oLMCtL1vL8Ht+x27PaAnDpEIDi6qeOTYAP/EPWMsujv+NPADC98hnKz3yIbHyWwqXgoW+EhXcEsQQgc8I1H5HjWKc8urLOHJf3FrVex8KrSHyqB4PI6gS90Wl9i2bhb6SGSQ2X58ILM2lNBMPpniFqhCKokL5s5EQefhuxU6mofn5gGMYqdPec/m1RgwLAWFh4cBX0EjUsGtGPq0HNhsjqtPwg0pig1Ud4nOr5JlZF77qNGcoc+Da6pxadvt8YwEEpbKQak9MENRmaoOJ9P9L89Kot2E0cnO8bLEJkW2MiaERS2m4SgIrstcDS6+uKjN53Vmu577LR+53KDaNEzYedwhwJ+VWAJWoAEAxrbXfB9A6lwKvNj1sHvNdSGLUxTitzIaCxQIk7Lgqu7v7rr+O3OT4I4cRHJ47uwQQ4sQkAMF3WbA47E6Cjo6Ojo6Ojo6Ojo6Pj/njNmADAVwPvb79+HvhZVOv6QuCPA3/QGPP7ROTHP0vn99rmPgp+b86cP3GIyb6W3GZ9MCDL+as67X8n7jXWKD77MOFucUH3aIyQZtjhmh57enDbrQO/Ol7w7TbALqFYYsdaMizFEpOm2hcAhMarAWEMoaww2QC3toFJM5obV8DX7RaAQ0LAH+4S5jPc2ibpo49p14CL8b5iNn+Wi+V1DpsEO94EaxjPd8iZc91uYVOLqwtuuCGJNdgAezWcpWYsBXtxTjjc5fRozHu+4L0A/JMP/hy7z3yKr3rL23nz1hYAv/DkZ/iu93wxwCs2AFb4co5rew+yU28AYHntCW78+s9w5j3fyuDsmwB4/P3fS1VWlEVJOuoxK+B649j1MSPruZBUWAKTELFjMvJmSdbUlEHF9zRSkTyOAA9rGQwjFa0XQct900gFeKyaBZHVeJ0gwmE7+X59qdPk+4Ww1xYCr4itZtw3QQt0cwdJm+hUBBiI9gIEIDEgVs+pDiqsBw9zr+cSGRXc9ysV8Qdt3YNB72/bToJ+pOdgTes3tZFCi1qF+Vl9PBWfRoZpDaHWn0cW1lLL0gsHhb7+kwL7WgqxszTtVsFBKfi2PPhUbjBGv17LDCboNsRqC+HWSf7YCuPUcG3RmiBtDNCKea0Fx8tGI3sSd3vBvvL62rZyjXECPYdRorFEqw2NcWKOeg1OFgXfLWqo47c/J6OAQD+/L8XJTgDQXoDNYfZAz6ujo6Ojo6Ojo6Ojo6Pj85/XkgkQgB8B/raIfGT1Q2OMA/468H8D/okx5lER2b3DMTpeJe634PdWcf9B5O8/CO411sgkGW79FGF6QJgd3lm4v8UYMXFyvDVQV9jeUE0HY/B7144KeldbB9Gp80SnLhCWc6SYI2VBWMwIyznN1WeIfI3NB9j1TayNQAKhLHRSOQRMFEEcEW1sg3P43Rv4vWuExfRF5+LGm9i1bVzex08PwFeAZRbWKadPcc6X3LApyeEOwyynGGxhTcZGVFMMttn3lnVK1v0hu7WwiHJGoSFdHDCdH/D7vunbsG18xg9+8ANIVfJffsX7ACibms02EqhqGpIoOlHqe/8cPbbtAlhe+ST5WS0ffuan/2cSE3jdt/xFfe7pDtc/9ANIgLycMqsHTNIN4nrBSAKCYREM65FwmI25UVZsVxXG65T8MNGYnaI5FpY3UhWb6wAHi+Pp9qJWEbsJsFvoY3NnWUnWIeikuhgVlVfE7fPkUStKZ/rLX4CmzfCft0W+gwiMU8MheC0tLhoQA7vLNu6mPV/Qc64jzfyvmmPxfPVa0qh9bUGf0LcRQpGFQSLMao3lmZQaXTTKDKXXPoNTOdTBkDidoB4kGmnUaw0Rg4r26xkY9H6CIY/0xszp9H4vMrilRu/ILR+JyOqWgbT/cBKnYv0q0ieyx8ZAsoryuctnZ16rsD9M9L1YRQCtDIB+rN0Cy9YkOFkUfKcNg47PD+qXYwLcUhRx2PUCdHR0dHR0dHR0dHR0dLwMXjMmgIj8BzT259afe2PM/x34NuDNaFzQP/2tPbsOuP+C3xUPKn//gXAP0/tuvIEdb2KsxR/saoi7cYgvCbfGBbXGiAVsf4BJexhrkRCQcoFJ+9j+gObys0cGwIr4zEO4zTPY9S3CbEKY7CFVhbUgkwMMhubGZUySEp9+CJ8k0DSYOMEgSLmAJkKqGgmBUCwIh7tIsQC46flsb0B89mHMYIQgSFNrUbG13Ij7ZFtv5CEmXNi9RBgm9CNwLtCXKYs65Xpvk+u9TarmgFPAWTtBEMLkkLXpjHG9yzd+9e8G4OOXnuOjzz7NxmDAd37xlwHw07/5cb7p7V8AHOdsP4hCYNfm/VezXXJ0M2D2K/+Cc295L+PXvRuAyz/7Dzjl5oSx4bCcE6Z7RHlKvL7BelVQNMLU9tnLhfPhkHJ6wLJeMsg1D79qdDJ91pbVpk7F5shAMCrg161hMIh1Ej+LVLRf1DDOYD2BmYcsMuwXgjEqQvugU+mjRMtx13PYTCF2aigUAYq2iLhqy3lLryZE0U7+z2tAYJTon0UDVdsDACruR0Yfj6iJQLtRYND7L2s1AoaJenSr+J7IaOTPsoFBanTrIDKst5n/0xoip5E/xmhckBcV4peNvo6kfS3jDAaRTuAfBEPkhDroeSy99glspHp70xoRcJzjXwctN160UUF5BKlTAd+1mw3OwKIWbpZyb2Zaa7zPZmY41TOMY417ypwerwrCQXkc0QRaJLzaMOj4/OXWTYDoZWwCTBfdukhHR0dHR0dHR0dHR0fH/fOaMQHuhoiIMeY3UBPg/Gf7fF6rvJyC3/vN33+QrHLvTRwjdX0cU3SHWCPbG2D7I6Lt89jxBlJXJI+8BfEVVCUE0fOcTzBZDzfawE/2iM49jNs+h/ENoSrVYLAOt3EaO95CihlhPrnpuaIzDxGdfRiSFFlMMQRIUqLROmCQjdNIWWifgLX4+SFmYbDDdT3vUuN8JDSINNjNbWxZUk8PbhvX5DbOYEZrmNAQlktCMYem1vsWCy6N1qk2TjP2KWcW17BhH6YHvJCfZhKPOKhi8Euu9zaokh79+hlO3XgCv3eN5UFgfOExXnfh9QD80M//JwC+871fRpaoQPb07g5JpL/O7D2Ubd4L4muMi6kOXmBw4R0A3PjY+9mfLTj7ru/Q+4TA4sPfTxIZDkq4sYSq2eNcXTPNxuzGI9IoBl9zsDNnWN9gXE04MBoJ04s0s96gwnsSQWo0lse0wnMeqfC/bKfsM6cT++tpm51vYTky1F4F952lUAV4ZGS4OLT0IkicELcmQqI+FYMEQqXGQ6vz44NOvt9Yqki/uxR8MPrYRM+z12b2r7U5/70YHBxlna/lYAUqgf0Cyqad2l9tHJR63CbA2YGaLaNEz7kRqL2QZ7oJsF9A4Q2Zg0GswvxKsE8d5FajixZR22sQQbPQnP2yMUcGgTFwfamFwpkzxEbYTPXaI2q0mLb4eFJpWfIw0dddeTVHYqtdDHlhGMTC3l1SuvYKfR0bmb7PoO/drR0NK7wcbxx0fP5y6yZAdGt5xG2InKWXRixKXb2ZdJsAHR0dHR0dHR0dHR0dHS+DzgQ45g3t31c/q2fxGud+C35vzd+/NaJmlb/vRhsPzARYRQ+5rdO4/hjiBKlKwnyK372KYLR090SskRtv4sbrkA8wSQpxgjEGt7GtUUizKVLMseMNbN4jVBW2NyAUCwxGJ/NREVYw+ncUa4mvuVk6tL0B8dYZSFLCwQ5EMTbrYzMDxuo1DR6ynnYAJInG/giYKNbb0hxCgy8KTBBsvw+DdTCO+plP3hQHZJzDjdYBEB+QuoDmZpUzLGbsbp9jd/NtPM+QyeHjnGPO08Fh8oCJamhqfPDsRo6rOwvq5y5xqYz5VJHz1973u46O9S8+/PMAfPsXfykAVw4P+Lq3aFRPEwKRtQQR7CvYBAAwTmM4Fk98iLUv+v0AXPqFH+awMmy859sB2PnUh9jbu07eZt8nTvP2Y5lx3pcsOeRKYXBlwbWDkmdL4UzPMIgNV+bCfgmbuWErVZG4Un+H1ICzOvGfOY2Q2VnqlHpwWhhsEhXNGw+nA0xK/XQME0PhdXoeVNgPbanulRmUmZb2ZpF2BHjANiqU92PdMJiWKrRHxmAsFEG4MjeMk2PhfxiraF0FPdcqqKjea+N6ogCHqDi/kajQXawEdWdYy2AUa6xRI4ZJpSbGolFD4vVj2Mpgr9SNgUFyHNnTj3RLwoief9/q8zRBX9NuoddzXsOiETJnyCOd0h8nOnXvxdBvr7FDmDf6uLSd2Dfm5u6AcSpcX2jcz71k+E9rKIOQtd0Os+bmjoaTOPPiHoKOzz/q5uZ3OInubfVjlMdHJsDhojMBOjo6Ojo6Ojo6Ojo6Ou6fzgQAjDFfD7wbKIGf/iyfzmueMNknTPaPJu0J/rYFvyfz921veNu4nDCftbcPNE6ondh/uYXBq+ihaOscJk3B6ZS3GYwxWQ87HBPmU2ycIG2ske0N1ABwETI7xKxvY2in/meH2CzHpgm+mOn9+0NcP0FEcC4mBI+/9CR2tInNe9hehrEOE6UQPKY/Jj73CPXlpwmLGXa0CVn/yISwaYbJMmTeEMqF9hEMRogXpCq0VyDNCAIyP0B8wDgwSQ/nYsRAWM6xowQ3HMOjb0Omh0hTq6GQZLjxBmIsYTkn3K4PoamRosBtbrOc9Hgu2iTDcMoU3CgMwRT6WvIhspyzVe2za3rsNHB6bZ0/9S3fBsAHP/UJntu9wXp/wNe+9TEAfvXSc3zLYzqpv4oCeqUGgEjAGEuoS6LeBgB+sU/85E/z+re/l96GLgzd+KUfxQfIDIRERe4o7+n1jhJ6Fka9iLrIOZ8sKK8ccmmqE+K9yDCvYVkLfmDwQf2ci8M2d9+reBzZtmA3UZPA0f7cgdSwW8ONAkIbqzNOYdNYje6pBRsb+m2Rr6DGQeVVuHdtmW+mHhDzWk2Aea3RPf0YDipYFIZeGy9UBzgodKsgazcXZrXer/F6HQyA6CZD1kaaN0En5JeNPu9mJqSRIfVwWGgEz4qDUg2L8wMV5aP2XGeVTuPXbV9B7FRYr4L+Uwzo9z5oh0DqDM4aEqvn0oshMSrwX58LJYZlKYisOgaE2FrGKRyWOv3vjBoeRWO4sQxcX9x7hn/l9Thb+c0dDbeSRUY3OF6iA7zjtzcvigOy9/Z7atRLuHqgv1enyy4OqKOjo6Ojo6Ojo6Ojo+P+ec2bAMaYLeD722//RxG58hL3PwVsv+on9gB4KRH9c52XPOc2f98MRrish0nSm+NyxpvYfIAIIAGTZEhTvezSYDtaJzpzETtYA+eQpiYcHvcT2N5Qxc8oQhBMnOI2TmH7I0xvpHn/gzFYpxn7s0MAQmtSmKwPxRLxHrd5lmS4SagWGBcj66egqTFZjh2uYaKIUJUYazB5D3vmIcRF+J0r2LwHoUHafBaT9TA2wliL3TiDTTNwkcYLadg6RDEs5/jlApoam/cR3za/RjEmeGR6CNbgBmuwfgq/v4MsZ9i0pyZIUxMOw1FnwElM1ms3DlKirfNMxltcY8KFeoeH/YJZcCpMzw/Ii2s4G/DWci4p+bO/77sY5D0A/u6/+WeA8Hve88XEbfzPxfEQgMY3RO6VFgKr+E9owCXMn/gggzd/LQDTj/4YmZSM3/udet/gmf/6TzBOAKvLDzIcscjGzFyGa0q2Q8GpqGZ3OCDupbwujrnywi77pXBloQJz7gxZLKynhrN9yKxOtwevwryICueRhY0cEP35otbtgOcmwk6p59+PIcKwkRmySEX7QaJ5/Y3o5L604nzRHEfQLGpYeC2ptcB2fpzfv2zgVK6mQWQhavSfnm+F8xA081+Cit6X55AXsJbqFP7MaFTRvFJR3UK7OdHGDEVwozUwTnJQCWlhGKcwKYQy0pLfRtRMyCOgUQOibGOMBg5CDJs9gxfh5Kcgd0I/1t6BsoRlgGlxHM9zbgBrqaEXC/PaYNs+hsgKk8pwbRG42n60T2b4v5Rwf2tR8K0MEzVA5l0p8Oc9L44DurcAqJO9AN0mQEdHR0dHR0dHR0dHR8fL4TVtAhhjMuBHgYeADwJ/7R4e9t3Af/dqntcrZRVXY3sDVfFepuj9W8ErMiqCx6SanU9T4295bb5Y4DbP4oZjpFgQpvtIm9d/v6XBdrRO+uhjuO1z2CiCvE843MVmPY3siWKkrrCDEWY5Q7xHlnNCVeHWto6m5sNiju0vNH7nJE2NjVMYa7yRHQyRpiFipCK8s1A3iDOYIGAt1ljEN5imhjTFjdexcYw0NXiPsQZ6Az0uYAdjTBwDooZCnGDR6WepK7AWl2SIi3RroRXzbRsb5OdTbJQidY2NIqLBmOAc4hvC7BATp2rKZL2bjADbH+l1SXLteGg3Jq7INsVyjY1qj3FYkkpN7Rvq5YQolIwzyygf823fqKL7xz79Ua5/5sNcjHL+zDd8EwAH8ynvuPiIvt8hELlXWgjclgq7VnQrZ0exQNNf+ueYKGf7S/8AAHuf/E/I7DqDTIVoyTJsOmBBTLyY0LOByNWMCEhTcS1aIxqtsV3V2B3tcEicitygor3IqsQWomgV/6QT93VQkd+0U/1FDVcXxwYA6AT/VgY9p5P600oz+VeCPeiUfd4WEC8qnaovvIrZyxrWc53ezyI4rPSYQfR70A2EUaI/W3qdvC+8Hn/ZtHFCqICeOS3ynTUqnHunefoGw9Jr/M4ogcSuXukxywbqIFRByxGiVVxRW6DcBI0OKloRflGreUEN4wCTxlC2PQoWMJGW/C4amFXCQSE3RfRcnnG0MbA4IcgvaphUgcUJk+J+MvxPFgVvZEavg6gBlEWG0gu7xd2jhTo+P7h1GySO7s0EGPeOTYBp1wnQ0dHR0dHR0dHR0dHR8TJ4zZoAxpgI+GHgq4BfBb5VRO5FhvlfgR858f3HX4XTe9ms4mpUiG2LdW8jen+2twRerlFx63kba7H9Ac2V5178HFkPG2mpcNi/gW+n9u+3NDjaPkd05iLu1DlVPl0EvsH2RzAY45oGWYnuLsZsR9S712Axw+9fx2+dweU9zdyP2xx/l+CGI/xUxWAJgk0TbJxg+kMIooXIWJBAmM+x401ckhCWC6RYYNIcsxoLF9Hv4wwp5lpO3BtimgqMIfhGBW5jkWKJSRJtGbC2LQdWYVbiFBMnN30mjLGIeExvgE1zNVPmE0QgzKdgDVLE4Cw2HyLFgrQ4xCGEtEfZH6oB4RxGgCRGfIP4ht14yK7JyeZ7OF8yzhMeixpGhxVlGPN/+spvo98bAPD//el/SWwD3/H2t/OeRx4F4Lmrz7H26NsBSONjoeyVbAOEcoZNB4RyRu+RLwNg+fxvUD79C6x/yR8m6ms80JUPfB+x0wgcZ6COEpZRipsvSI3Qs57UCB5hHHnm1ZSDfJOo32c8nVB5Lbvd7llEVFg+KPWfw1qqInqDHr9BRftYXRsKD89MhetLFa4DKooDlB7SqJ1SDy8Wq8s2luf8QPPzZ0s1AGKrUUKR1WPMa7g2VxG7Hx8XAo8SFeHnjZoWqVPzIHMwO/FE01rNhmklOGNoAsxq4cZSDZtBYtRIaKAfG071DEUtNOh2QeoMi1qYlgHB8LqRRiY5A5Nar0t5YrDatNeqF6n5sayPjQ+LXtfK62vcymHpDWvS3rfdBtgv9VwnpYryQdR8uZX7zfBfFQWvrmNk9fE7S90A6AyA1wa3xgHF97gJMMzjo68nXRxQR0dHR0dHR0dHR0dHx8vgNWkCGGMc8M+A3w18EvidInJ4L48VkevA9RPHelXO8eWwErWJ4qOiXLhZ9I4uPIrbONVmgnx2tgTu1ah40Wu7xTSQuoY0QxYzbH+ogvQJTJZDbwjzA32OONGJ95Z7KQ0+uqZxgsynakAkMdI0mCjCjjcx1uJnh8hyjoktdrxBZB0hScEY3GCESXNkdoh4dGMgSTFZD1xKWEwwUYxJB1rMK42+Nl8jSYoR0fMPHlyMzXLEGH0tkY6GS7nAVAWkOSbJNJt/socdaheBdZEW+RqrzxUnSFNrdNIqvshq0LxxDvE1xhj9WjwCuHyAVEv87BATJRgLYTHVHBgXEWU9NmzBZr+mXy1wTYXkhlnfs+tq9oxBQoNpAN+AaUfdk4ylH0Fd84Uc8gaZMsHjjeHrv/LbALh643muX/o1LMIf/RadxJ+XBRe2zwFwuFwwzntH4v8r2gaIMgCq5z9K9uj7ANj5j3+PZQMX3vcnAVjuXebKr/w71mM4qKGXxURRSmhqQEitp289ifXEwCwYKnGYumKUJ0iWktUVqYV+JETWsNZO169iaAD2SxX5vegEe4RO+Jc1OGfYzI4F6dJrrIyXVhAPgFEjYBhrJNCKotH757Eerx9BEfS+qdPtgcPyeMq+H0Hu9HihnYLPY91GqNsugwh9ntV5DiONNpobQ4EK9rNaODixubCWHovskYX1TN+3pYdJqbn+z00hdcJaqkZC4tBIJNFuBIt2A4AaE4M2pieyQNDbs0ivaewgtVrGvGhF/s1UTYVrC6FoVsaJuamj4FZeTob/tNYOgcTpOa2KoDteO3RxQB0dHR0dHR0dHR0dHR2fLV5zJoBRdfD7ge8CngS+XkR2Prtn9WBwI42SOWkAnMQYS3T6PFIuaa5cuifx/UFzL0bFrdP5dzYNNrG9ITSNTuaP1qEqNfInTrHjTahL/GwGdaUC/i2sSoNNmt92I2J1TcPhHjbr6xR/ANsfYvO+RvVYixutI60AjwGbD2DrDM3WGaQ9P0EF6tCUsDAYZ3U6Pkkh0w0HqUto43mMc8hiqsW7aa4ivniMjQgirRERQ/B6rUS3AqSpaK49hxtvYZIEkgQjKujjIn0N3hOapYbGx4mWKS8XGluU5dpDUDeEegEi2mWAHPUYqGEQ44brelwjXAj7XGj26LPgMIqpo5Ss3+di2GV9vs8ls8/l9DTiYmyWQewwNkIkQN7ngrvOo5Or1MD1ZJ13v+UxtjdOA/DjH/kZkrzHV1x8M+9487sB+OjTn+Qr3qJfD1MV7l+pKSd1gYn1WG6oz91MrrH3Kz9C//VfSnZRn+8T7/9+rkxr7MAwiGHmoTCWodRUJjC0noH1YGDqLYchZhIcJghL6zTqKDXkUVv8G6twb43G/cCxQFx4SIx+H7Xlt4MUTgvsLVXQF4FxAnUwBBGM0Qn3VfFvsxL3vYr5w1QF8Hmlx7er5xMwApUXBMMoUSNimKroXwWd0q88xBGECIyH0Ob9J23Gf2L1MZUAVihKjQayKQjCYalZ+ad6hs1Mc/p3Fyr6OwOx0+Ld/VIn5WvfbhRYo8XGQZ9jZYDU7TmtOg8OK709svraIwtrifYa+PZa5JH2ICBqPsRWjYB5refxamX4d8L/a5eXuwkw6uKAOjo6Ojo6Ojo6Ojo6Ol4hrzkTAPh7wB8BngN+h4i8uqr3bxEmzbG9AVLcPtrH9ga48Tp4j5QlUpdIXd13NM4r5aWMilun8+9mGkhdYscbYCL8ZB+zXGDTXAVqpC26nelUfQjatHoLaijY2xoEJ6+p1BVSLrBZDpHDjtcx1ultSa5RPFkf4yxS6bUl6+EwUJWYNIWzD0O5QIyW8UrwEAI2H2m/QZyoiSCCLBcEXyNlqe9ZFGOiBMEh0mCiBLK2lbUukbpGfI3rDXVLYjFDxlsa8TObYvIBJs/VJyiXWvpbl+04daImRV1CXRKsttxKMddC5dE64gNSTo7Kgm1/dFQ8TFOz0cw4Pz8gTjMu+T5NtYByzrK/wX5j2Jw8z4X+kjLus2uGuj3QeH0tSYKxjq1il95yn6vxJqTwNV/yDQAsigUf+MWfJfS3+UPv+12AxsmI+KOvnb03Me1OrDYIJDQqmh88T3zqjQDsfOgfURYlr//Gv6jPV5f85s/8Y0qvmfXWGJY13GhixjaQmJpR1ADCjSamEcdhE1ELnI48IQhGAplT8f+w0o9rkqswXTSaQ6+Z+iriuzYGKI808mZW6RR8FqlxMKt1An+9jbopAhReSJ0hjfTxQTQKp9cuYJStAL6zhEkliOiEfGyhtIakjR+K2ucVjjcDSg9J1B6jjQhqdCGERo57C2oPpTdMKi3g7ce0E/362RFUoJ+3uT22/ZkPgrMcFfvultp/MEwhNYbE6rkYAeegqKARYTM37JXw7ESI29fQb/sPQAX4otHzS9XPY9ZGC41TfbaP7QhV6DL8Ox48L94EuDfTcnQiDmhWNA/kd15HR0dHR0dHR0dHR0fHa4vXlAlgjPmbaLHvZdQAeHGQ/G9XrNN899sI3aCiLUlGmE8w1r1I9L6XaJxXyksZFStOTuffzTSQuiLsXyc69zrMwa52HcQJGIeJHGyc1gLdvE+YHtz+nNp+gdsZBLde0zCfYcdbmN5Is/q9B2MwzqghYEAwKrTXFdS1vt4k0Yl9HzSHv6mxvZGW9BqH1AVhqUW6JuurOJ8k2BpC3idM98E5wmgTkzqkjXmRqmzHsiuO0smNQYIQyhK7mNDsOGySanxQHAOGUCw0jidJAdF+BV8TiqXGvexc1biiJEaCQWYTQl0DQU2WJNPi4HpBWMxAhI1wQM/PuByNCPM9ZHaoJcjDNTCOGz7hIanY8FP20g29RouZmiYIfRvoLfeZE+N8zSAf84Vv+UIAPvyxD1MbQ5b3eM/bvwKAX3/q47zzdW8FwEvA3VNF620+a7fEB9lU+wf87jNEaxcQ33Dwn7+X9MybGT6mZcRP/Id/QnFwlSDw7ARCEGZNxb7z1OMha2XNQRPRCMyCQ7AUYthwHhslNPM5xbJmva/xNEYgtL6VMypaV6EV4G1b3LuK3amPJ99DG/szSlTcd2YVe2NYLoQqwH6hwnimH2V8UGH+oNSInUWjX8fWEEXCtIKNTM2J0musTtZO9gcBh5oOzrTxQu2U/SBSs6ASGDSrTH5hp9Bzta3WOa9hnOgGBEBsDDcWgqDmgGs3IWaVsFcKldeNgDKoibCoDb1Ir9EoVaNhWmqmfz8xLBvtAtDIIWEYa+lwQM/Ji762aaXxPJHV+KBJpTFBqTNUIXQZ/r8NaHt9vgf4w8AbgCXwi8D/W0Q++AqP/Q3A+9tvf1REvvOVHG9F3by8TYCTxcAA02XNWj99EKfU0dHR0dHR0dHR0dHR8RrhNWMCGGO+FfiL7bdPAf/PO0SH/GcR+b7fshN7ULRT5cY6bg2pMHGCTXOoSo2cudNU/EtE47xiXsKoODqPdjrf5P2XNA3CfEaYz3BrW/iDnePMf0kgTnCnLkC5RLwnOn0RKRf6mIX2B5jBCJlNVHyHm1/3Ldc0LKbgNfNdQqP5+r0BNtEoH2NFp9uzHB10Fp3YDw3hcA/jIi3EbSN7SFKstYiNoK4Q5zB1iVRLQrnERgl2MIKmhrpGipmaG02tmwLFAhsnujHgvXYMGIM0Na4/wO9cQ5Zz3PY55DAQ6gKb5JgoRgxqBHiv70e1xGQ5UpU0Ny5j0wy3vg0iNAc7agrkfb2mSUZo6qNooB41axQskhHSNPj9G2AdtteHKMENhkgcMU+EtSjQTyzzWjcKxAcMBhc83kQcRkPGfsHbXvcW4kinXz/4ax/E9YZ8yVvfSy/rAfDx3V2+8A3vACBxL//X2MnfAeIrjEsIi32ibd0CmD/+AarJDme++b86ut/7/39/l4M2uiaLVORuAjQyZ5qOWcZrjMINcgelCGWA3Hhs1sM3ntl0wVqkYnsewYWhiv5LD1FbbNuLNOWqbqNrvNWNgUmbhZ85FeKjGLI21z8A81In+wuv8Tt1JDx5KIwTFfStUXE/NjBItHg3daYtA9ai3mmlWf2rbYFxoh0B1ur0P+i0/7yNG0paU8BaiAW8UdPgcmW4vggsvQr/47bzwBnhTE/PxRqhFjUmRITIqWGxnkEvtjRB2EgNS6/lwYPYUNS6KeArQ96aFNbC1bmwXwjDWI2DeQ3O6msL0l5fo9dJOI4SGrTbFEV7Dk3766nL8P/cxRgTAz8FfD2wC/wksAn8TuB3GmP+mIj805d57AHwj9CPyQMt/TkZBxTZe+8uGeY3mwCHi6ozATo6Ojo6Ojo6Ojo6Ojrui9eMCQBsnPj6fe2fO/HbzgSQcklYzHBbZ2Bxc0EuRtU/CQGb5fjD3ZsKco+OcZdonAfCXYyKm053NZ0vvKRpEBZT/GQPN9rAbZw+yrSPNk4RrW3p9oO1mOk+Yi1uvInNB4RqXaOGegNCVRCdfQgpFvi969RXniVM9l90TbVYuMbv3YCmwY43MFGqGSigQv2qr6DfFhhjCLNDTJoTijk0beyPsVAuIetBXRBWx3cOXIJNA4jBphlm87SWHrtIo43a8HibZhojJAE33sAkucb3OIvdPAPzicYVlQWmNyBMDpBooeXKSQq+wRhHWM6gLsCURzFBfrqP372KCBgEs3UWk2T62te3waBdBiEQGSGSjNrFhIN9wvQQt3UWOxhj40S3FeKEyhekCC6O9TOwmGn/QBThJeD7Yxa1IS2E3/PFXwvA7uEun7r+HGa8zVe+9T0AzBZTTq2f0fdfNI4nSMCaV7gN4FRoW3z65xi8Wwd/d3/137DwMHjXtwNw9YmPcnDlSZ3YjzUa5pmJZtb3Fwdge1Sbm2zlG5ySKT0LtSRYlxL7imo2ZVzPOT9Q4d4E8LSpTFbF8NrqzxeNGgCrKfbrC90O8AL9/nGJcOVh1m4RrMp8K29YNkLuDKdynVzvRYYs1vez9FAFYZAY1lN9Dmv1n51tRfNeojE51rTxQ63xkLfnEAJEEUi7FRC1hcLzWot2RWCUGCYzYVELmTNs5Ibcru4rVAIH1arcV6OIigYCWno8TAw+CDeWhsMKri91ur8IGsV0w7fZ/g08OwnMa3jjOqynhqztFVgVCDujpsre8jjrf3X9qqAdBcuGF8m+nfD/OclfRA2AXwO+TkT2AYwxXw/878D3GmM+8DK3/f4mcBH4XuBPPqDzBTiKwYJ7LwWGF28CTJbdKkpHR0dHR0dHR0dHR0fH/fGaMQFE5AeBH/wsn8arip/sYQcj7Gj95kgf8RAE2x8iyzlhPrvt4+8ajfMAuJ2ojnEg/iZTwmQ5fueqZtLfg2kgswm+rsEY3Pq2XoMkw88m4Pcgy7Gbp2FyQJgd4jbPkKxtEoKH+RTKAjDY8SZ2vIEdb1A//SmaG5fVYFjfwm2eQYoFxlrC/BATxdjRBhCQsgA5Vg8FwESYyCESNPbHWkxTgwu6aRE8RqTN2DcaCTSfgHW4tQ1MlhOaCvENxkUaq6Oj00hVg7FgLNLUEGeYNEWaGimW+MM9bJzixpuIO0SaBmm8lvuGgFirx0xzPb/ljPrqdTUDqoLq+aeRYn60FWHSHHuwS3z6vPYHoAaAMRZjLd4bvATsZJdmdw+T9bQ0GaHZvYZbU/8ttp56scCPBZP3cGnWno9jScwsW2PNz3n3u76RUxsq8v/ML/wEeRIzigyPnX89AL/8zKf5hjYqaKXXvlwDAG7ZBgieGjXBfF3yxC/8GGw+Rv/82wD4xAf/1R2jYaa1ED/3AqOi5PmtHDtIqLFYBDOfsCYzYl+QjlpB2q/EbP3emWP/rQr6HBqrAzsFzBsYxvpnlSoya1T0X4sBq+J7FkFuYLeAfiQ0Qaf180jLcfW9gLVMDQAvKvoH0bJf115Y3+hEv4iK9iIaX+Ta6XvamJxlDaHN6C+D/omtRvZEOSSRoWracmGnWw6Rhc0MvBgcaoQ0gaNrmTo9LwBrdeL/uleRftkcFynvFcK8VrMADNNaTZlmoN0IqTO6xYO+lv0KDgo1DZw5jjYCcMawaOSo96Djc5M2Bui/bb/97pUBACAiP2uM+X5UvP9zwJ+/z2N/NfCngP8PajA8UBOgOhEHFEf3/jtr1Itv+n666MqBOzo6Ojo6Ojo6Ojo6Ou6P14wJ8FogTPbxaY7bPI3bOKVT4MFjnGtz3B3+cO8oCudWjsT3VyMKqMVP9nDb50gefrOqjNZAEC0knk8ginUif7J32+0GEyeqlIZj48BkObKcgzH4fdHHjNY0lgawWY4bb2P7Q0ySYvMeOIdMD6iff/L45KZge0PseJPowqMQa2GtSXPsaAOTZtg4JZQLFcEzjQHCVxoHFEXgAyEEjPGAw4ho7j8Bk2Y6Nu0sUhXYrIf4djvCqNEhswNkMMLETn/mK0JdQLVEXIRNM6Tx+J3LhKYC43C9IbKYEaolspzre9gfammyddg4RgR9/c5pwbD3WkBcLBEEN97A5j3KT3+UcLij1zXNj661v/48RgLRmYvab1CXhKoCFzGPIvYWJRfK60gAN97UTYPZBClmyMxBktOXA56NTzGbzLBRT1Vl6zDBI77hRh1x1iR817s19//64S6/8IkPExvhHa9/jKjduKiT0VEp5r3GadwJkYAxltBU2Cjh8MmPMHrbNwLwzC//JJ+5ts/7vvG/Obr/z/3UD7M/lTtGw2QWNpa7mKtwLU/JE0toAkNqmgwGiYrRpYf9GvJYRW1rVBhfdX2usvFXk//DRO8XWy20bdpYoBDaxRB73BMQ6UeMrdxQe9jONTPfIxyUhiAGZ2EQCf3IMGsn91estVn7RQON1a+T9ryC6NR+7fU5fNCNAe/hylJLdsexivrGQOIMj2RqZgTURIidivCJNeQxXByqkXB5cXwOqWtz+IO+NmNU0F+2BcLaLaBdBnUQikboxRp5tMrzPyghjPWaNcEwToR5bVhoEhVe9I9tr2npNU7oQUz+dxFCrypfjkb/PCMiH7nN7f8CFe9/D/dhAhhjesD3A5eAvww8kB6Ak5yMA7rXPgCAJHKksaOs9cN0uOxMgI6Ojo6Ojo6Ojo6Ojo77ozMBPs9oblwmlEvcaEPz/a0W2FaXn9FNAAm3fZwdrR+J7w+ak2KyTXNMHGP6A8BoVA2CG63jts8S9m5QPf3Jo02G1XaDO30BYy12ld1fV0i5QKyK+SJg8x5hekDUGxKW85vOIZQLXN7HxKkK6XWt4nuWq9IoAWlqwmKKiyLiMw9rofBiSphNkLrG9kfYM+dx/dPYKML4Nii9ncrXMW6LidtclSAq+kexRuokqfYxiMe4vpYEB31eERV3TG8ACOI9EhrEWqhrmoNd/MENTJTg1raQ5QK/ewU7PoXEMbKcI1V5wuQRbN7DDte0FNpGGO+PIoVMkkJdIssZsphh17eQqsSONrCjvaPPj2bDBMJihp/sUT37uJ7DqXNQFkhVIJVhl4zNfINzQ8du/zTYCD+fEqaHgHCmP2caZ+yWQr13nSTJNNNmNseXBeHwOtddzLd82XtZ62k578985CfI8hTKit/xDjUGDoslX/7wIwDMqopBcnNMxn1/NtsNAttuOCx2L7H2Rn2uT/yHH8Iby8Nf/l0APPEbP8+VF5696/HWUsMwNuwWQs+X2MSQOpiKZoAPExX4mzYGx1idqp+3xb89pwJ7QKN4Fl4F+FVBbdEW3/Zinc4HSI3evqhhI299tbZLAPS+1sKiNhRBo48GDg5Kw1qu94stIO19V48xGu+zbIQQGWjP+VSuz9cEPQdrjst/RVTgH8RQWX2do0SF8KXXY68m8S26VdCP22z+WP/J1EG/7sfaXeAMNE4n+5ugRgPotsTq3H0bp7SSVVd5/iKwnRuenwbOD83RJkXdblo4o6XKRQPXFsK1xd12jl6aYawxUb34uHNgUdOVCT9Y3t3+/St3uH3180eNMUMRub3r/WL+OvAo8E0iMnulBuPtqE92AtyHCQAaCXT9UA36yaL7MHV0dHR0dHR0dHR0dHTcH50J8HlImOwTJvs3ie9SLom2z91+SyDN1QDYvXZzjNArxI7WbxKTTZZjeyNCXVI/8zi2P8CkPc39LwuIIkJdEU5sIoTJPub1byM5+zrMYARlqaW8wYPVzQa/mEGotEDYOsyJHgHbH+MGA2in322eAxpn4zZOQZLAcgYBQl1qBJEx2H6fEBrCtUu6cbCY4vevE6Z7JG/4Atg8S6hrWM51U6AVrnEWE4TQqOJp4gwTULPCex1pXkUc+RoTpYTpPlJV2P4QO1zHxrmqoxWY2CDW4cYbSDGnufYCYTHDZjkkOTbPW/F/96bC47CYEaoKl+YQpxo9RDs1HseEqtD+gCTDSiAc7kKak5x/pN1YCMefEetwW2ewgxF+9xrlkx8naSqIExBw69sc9E9zJRxwnkMeygNzA4teih1m9BdXmDcjns/OsJNEYApCVeDihBA8YbYHGB5lwnc8pjE/z1x/nl9++uMkccq7Tl3k9Wc1Cuij12/w1Q89BPCKDYCjz1hdYOOM4BtGD70TgPn+VZ776L/n4S/8Jobb+ny/9P5/ccdjDGNYzwwPD40W9lpD6WFRC8tGjYBlI1TeULW59wdtse5GrlE9SesjVeF4W+D6HBInOAweFeUHscbqxO1v7yD6vq4lULURQtNKJ/XzNs5nZ2nYSKEOhiBCEwyDRO83imE70xgrQc+NdqOgREX8WoR5cxyts2z7ChJUlPft/Y1RsT9vxfYgbRRPrKXCB4UaA0m7EWBEfz5CBf46wNDARqrnUjaaGIbR41WpAUSfMxwlZB0J7rdanAelaHGwgRdmwulcY4kia3CiRkMIwvWlxgi9EqF+M4ONzJA6Q9FoDJMzupExTCAuhL3i5R+/44iH278v3e5GEZkaYybox+ph4OMvdUBjzJcD/zXwz0Tkp1/uiRljTgHbd7r95W4CAIzy+NgE6DYBOjo6Ojo6Ojo6Ojo6Ou6TzgT4PObWWJ87bQn4nav4yd4DNQBWhoPJekdisuuPcRvbmP0dfLGkuXHlRfE+buMUbrRxdC7JI2/BbZwGA+FgB+MiFchdDMVczQAXYZJM44SC12l76zQGaDAA61Q4T3OQAeKcxshEMTbJNdaGGtsfQppC3Jb9lsXNRkpdIXWtOf1xgklSQgGySqYXwDcaMWPNcbaLMUhdEsoCYyzSVBjADMf6oLZk1w3XsUmGiWNERFXcukKaGpvlxOcewUQxoWgFfOeQqJ3wj5L2BE7ga0KxwFY1Zn2rLVsOarK04fO2NyCIIIf7UCxwW2dxdUX11G8ef44AFlM1dTZPEy4/Q3P1EtGFR0kefhMmSZDGc8lvsLB9toxn7GdkWUazfYFnLzt25g070wm2J5h8gGn7CcJyBkHYMkv+0NvfyDjvAfC9v/YrfNScIk56/MEv/WYAqrrk9bme96wsGKTZg/mwthO/k2d+lbVH3wvAb/zUP0CC512/+88CUMwO+MjP/LPbPnwl/g5jc1Tu6yysRVB6w2Gl0TT7lU6rn++pKZC3sTh5fTx5H0Sn5iVSUVx7AQyVF2JruDAU1lKDO/HcZdst4IMeszCwkWkkT2ZhUmkM0byB2GmJ8UEpRFZF/cRqTv+80fOpGxXTvWjhb5YbqgpmleBFC3sjox0ASaSmRRN0Cj+xKtw3Hhqjr6tqNwD2SzUAIqMGQBB9XFHr90k77V+23QLzCsSC8fqYeaObE8PY0ATBGH3NQXT6fmf54iifaa3i+2ZmiK1hrxBmtWE7F4aJUYOk0ELlxBqG8cszAoaxfgas0Z6CkywaYZjAZmaofbcR8ABoHVfmd7nPDDUBhi91MGNMBvxjYA/4nld4bt8N/Hd3uvHmTYD72zQYnSgHnnSdAB0dHR0dHR0dHR0dHR33SWcCvMa405bAg2QlFhPF+L3rgGb5GxHC/o6W3443kLp6UT+BFEs1KNIck2ZEZ1+HyXLqF57W40SxKoHSZuz7BjtaAx+09LhYIOVCc+mtgyghLNoiZGOOxX/n8NMDdJTdEpYlVCW2N8D2xwiC6Q2Jts5oZE8ImCjWbYY4ISxnuLyHiRLdZACoCt1SQLcRjDFa3NtUunHhNFqHKFYDpqoQaxEMbvMMJh9A1KrBdYMsZkhZEqolNkkxcYrbPIsNHnyDnx7g+iOMs9jhGNk4RbN7jebqc3q9055GGUUJ5D1skmqET/A6Xh1HEDymPyDirHYE2PbaxslNZc2rz87KpKmff5Lo/CO60VDX7WsXdoDd3phhuoFNPGE95dDdoLn+PJG1asTECW64BgIyPyQs56wlS77jnX8QgKvTCf/puacJUY8vWhvxrguPAvD0Z36RN7/tqwAVbB8EEjw2SgFwif5dF3M+/v7vY+t17+DCY18NwC/91A8wnb1Yczwp/u6WQuQMFhXIl2hu/XZmuCHCYQUvzGA9UfG8XQrhsNTp+c0MqlrjbaSdkF9PYacQJhVs50JqDf1Ij1/UbUGw6PejRI+50dPIoEU70T9OVGCfVFB5wziHg1IfM2/a/xHIYVK2PQDSxvA4NYBmFZigJb77pTBotwrySAX4XtQaH+1Ufup0MyGgk/1lo6J+4SFtk7PmjZ67AZI2OWte63k2Xs9vI9MonWUD65kef1rpNc8j3Wg4aIuQS68lzbdj1RGwilRad0IZDGUhHBbCXnlvE/t3y/nvx7oBcKsBsGJa6eekH2tMUcfnFH8NeDPwfxGRnVd4rP8V+JET39+0hVA3r2QT4IQJsOycpI6Ojo6Ojo6Ojo6Ojo77ozMBXqO8muW/brSByXpHBgCgorM1SAhIscCN1rH9wYtNgOBVILeOaPMsdji+aUNBmvqmr+1oHcoCEOxgrBn+8xl2sEY02kDq8vjg1iJNjekPCHWtxzIG4xKdqvceKUvsqT4SBIkOaELQLoO8j1vfhkjvi9cyWzEWI0EFc/HIcqGvIelhTIbMJvj5RI2NvA9LbT8NTY1UJcYaTJxj01QVXK/qYpgeaDFyK8SHqsTlfWwUIS7BlEvNs48TNSXCDLO2RZxmgOD3d45ikUwcq9gfxYivIYBJI1VjfaMj4y7G9vr6PL0BtXHcjpVJY0fr2HyAX0wJBztgLCbvqzFiYG4iMDG4lPjMRY1Lqgr84a4WExcFdjjCjTfIfcXXveEcD22dBeBHH/8k0huy5qf8vre9AwDvG2qv772IkMTpfX8ub3odotn4TTEl7q1Rz/cYXtQooE/83D+hnO3zlX/sb+q1957/8K/+wW2Pc6v4WzSw3kbW5JEhcTCMhTQyJAvIIkEMGAyxgQIVhXsCdWLoOxWZ90uYVkIQQ2QM2z3RYtwAO0sV1ZftxH7mNAooas0DEZ3IP/QQ2pgcY1XoFlHBfdTqiVmkuf4+qOAfO7ACDhXPGy9gNOO+52C/3VSIbBv1E9SsSBI1L/KgkT91UNMhs0IvNiwKPafYqQEA+hpMo+cS2nz+uC0BjqxQB0MjakpMK/17GOtjN3N9nqTdptgt7j5hv+oI2Mggd4YyCHu3/Aq808T+S+X8J27V13B3cf9kefHKROgKhF8WratL/y73WW0L3LUPwBjzRWh58E+LyO1Xfe4DEbkOHP0P3629Ak04/ozcrwkwzOOjr7tNgI6Ojo6Ojo6Ojo6Ojo77pTMBOh4oq3x8KW5R2ETHfU07NR+qEpP2XjRxbtrtBBPHWmRc1xpjcyeqEhvF+GXZFtuuEyb7+Okhbn1LnwMwK/HeWFidWxuHZKxFpTivkUA2Al/hD/eQQkV7ehorZKIYm/WRpiIsF3qevZHG9xiHyY3GBrVRPr5YgK9V5SyX+MVUo4KMdgJIFQCLSRJoGt0kEEGC1wz/1pwAFa5tf4zxNSIJclhCU8NgiM36hHKJ7Y+Its5qUXAI2P5Iy3+TTDcQfK2RR8YgVaWxRwihXGB7/dZYSLF5jq9ebBStTBrTG2KyHpTLNq6oh8t7YCz+cA+b9TB5Xyf/owjyHkY8ZjBCZhPq6T7R5hns+jaJ9fyBr/gGAMqm4See+DRI4JxtePcjjwHwySd+iYuPaF9AWZdkSXYk5N8Pq8esHhf31gBYXHuS8es3APjET/09ts48xJu+8vcB8LEP/RjPXnpxIfDtxN9lI5zuwUZuCG3GfRVUQH54KORtA+9BpVP9IwtxBllkyFpB+6DUktqDCkAYJyqUN0GoGoM42C00+ieyGtlTOhgbjeapvIrez8+EcWLIYzhcaJdA2m4EZK7tIrD69uwtNX4njdronVbkntd6zTIHcaST8lkrYjeiRsRWrufng4rjYuCwgktTYT01nHMwiIAIJrcR6lfPNUjNkRGwU8CyViOlFwn7hb62PDKspWqOHNbCpen9le4mVt/7veW9TezfS87/om7Li2/fuX7EyfLiuxkLHS/J6h/jxdvdaIwZolFAJ+97J34X6nldNMZ84JbbzrR/f/XqNhH5mvs815toXmEx8IquE6Cjo6Ojo6Ojo6Ojo6PjfulMgI4Hi3U6cX+LcC9t4a8db0CxUKHfuqNs+hUmy/E7V1X8NxwVAN8JCQGTRshiTrN3HTda08LfukDmM+gNsFkP8Q1+Mccs5zq1nubY/hCTR1rKm/UgctphUFeEYoZUukVgsxw73NAJ9rokRJEaD4e7KsJvhtbQiLWroGmgqRDvNWImy1XUL5Yav2QiKBcQGoxxSFUgLoI4xroIMUaje6yDptJtgLrSbYIoQpoamR22/QQ1iGDzHjbvAwa3vk2YTTBJikly/OEepiqQstCoI99AuyFhnEPKJcbFSNMKS85hktvn7a9MGnybQxNFmDjF9IcQxUfRS6FYYILHZANsbGExR6IUZI4/3MUf7gEQ94d88xe8my+88AgA/+6px5nWJZlUfO0jbySOdPr1iWvP8dibvwyArD23+zUAbn2MDx5nHb6pcaPTAFz79EdY3HiGL/g9fwHr9Nfjj/3A37ztsSy3F38DIFFMg8U3AeNreg6cU5F7t4DrSyG2MEoN27mhb1RQn1bCs1ONzlkxb1R0roNO0pdexeoQaSRPr03IWgnhhyXMGo3vMeo5sKV92AxTkNbXWtSQZ7odEFs1NQw6iZ9Fghc4rLRD4EzfsBZDPzIYjiODBI3vCW1/QNWWFEdGs/uDCHul4WxPtw6ySA2CxqtZYNvrcVBCVAhrscFaNRmWXqOQQM/RGjVcpjUs68BnDrQg+F6534n9zRRO9QyxPb4OK05uDRjRa/VSEe8rsX8thWFyZ2Oh4yX5tfbv99zh9tXPnxKRu24CnODtd7ltC/jqezzOXbkpDii6/2LgFd0mQEdHR0dHR0dHR0dHR8f90pkAHQ+W4CEEzYq/9ab5RMXq/lCjd9qonRV2tI4UC/xkr+0qKFqBPtOJ+ttgrAUX4+dTmstPE2brR8XHoZ269wc7yHKJVEuijdNHGf62WCfa2NZon+AJyxJblYgcYAzY8To0NTYf4MbrWr67mAKmLf+1el6TQ9wICBkiQeOJjNERawd+/wbGWaT2QCBMD9qS4kCQgN+9RnT6Am7jFCbLtVy4LDAuwkQpLs0R71XUB/06zTHxvI33qXXCPQSNHEozovOP4A93wDmSC49i8h4m62OyHtYYQrXUWCBfqwFRFUhdY4zROKU0v20vwMqkQTwmyXBrW9isj+2PCE2DSeoj80R8gzFCWMwIdYEFbNrDrW9rqfJkn3R+yF95p+pv03LJP/qNj0KU4jC8703vBuBwusepdR3KXU3yv5wtgBWrx9r28Z944qN8wVu+GIBf/+C/5toCvvlL/gsAXnjqEzz3+K/f9jir8tyV+CuAG69xOB5wORlqFA4N/WZKEqbYZcGkVnHcY7g2F5ZNoPaGK6ICeUBLhTkhOFvUaOi1ZcHWwFamWf+DhKOImRBUnB/FahSMEn2sMYDROJ+A/lwECi9cXxryCLwIjRi8VwNCxLBshMNSRWtjDF70uYJo7NEg0XMeRHq6Hi0VbkSvSz8GZ9X4KD30Et1G6LWdBtNKOKwMy7aQuPT6G2MrM4TWTCganY6vw3Fx8jAx7Cy5LwNgdR3vdWJ/mMB6YlnPdVMhi/Rclo1uR8Dx1kDs1FDZyg2LuxgMWaSi/zC5e4Fwx0vyC8Au8DpjzJeKyEduuf33t3//m5c6kIj8VeCv3u42Y8wfBX4A+FER+c6Xea43Ub+CTYCTxcCzoiaIHP0O6+jo6Ojo6Ojo6Ojo6Oh4KToToOOBIuWSsJjhts60gvkxYTHDH+7jxuu49W387g1wkZbeprkaALvXjjoAwmKGDY3G/PSGL+oPADCjdeRwD797RR9zovi4OdghPn0BXKQT6uKPthFkso9YR72YEmZaTosI0eZpTG8I1mLTHmac6+S80zJf0xoYpqoQAbd5BrsS2KMI03jq6QGmqTUWyXtM2kPmhxhjVbQHQrnErW0h84m+LmMwkUOaBiSoMSE6qW+M0xJkY483JJxTQyXttepmpD0PcQJxgkkybJwhzmEHI40FAi05trrxYHxASoB2Q2Ex42h0vI0sOsnKpCGKibbOYATA6CaANbg0JViDWC1otmkPohhpGmyUqOFjBGyEG29iB2v86Xe/iwv9HgA/8NFfJFncwEQjzvb7vO7UQwD85lO/xhe//Sv183VLnM/LYfVYY1SEm5bHLbAf/8//hsHZN3D2DWpA/MoHfuyOx6n8sfg7b4R6+zxhe4PDJKUsaxZNw6GLeKTvKHxMzYyqmCACPauPa7xO4R+WUASd7DeowF8FXbhInYrQBqgaYS0znOnp45xtPw5Gs/kxOqFvDCza81s0Gp6+QI9Xts9ZeMNBIRrPBRjRKXtr22JgC+MUzg/UELg6F071DGupYdTGAiVWzY9pqRE+K3xQwX4Q6dd7hT5vFun9EwMBw2EpXF1AbIXEGgaxivuCPn4t1Qigw0oNiWFy9xLgu3GraXMnNjJYSw2xVdHetwbEeqoxQZHVc4HjrYGDUii9nt/0NkPaq/MWIHuJAuGOuyMijTHmbwN/Hfj7xpivE5EDAGPM1wP/JVACf3f1GGPMeeDn2m+/TkRe+K09a+WkCRDfZ7n5yWLgIGoEnPxZR0dHR0dHR0dHR0dHR8fd6EyAjgeOn+yp8Nzm89902+GuCtp7NwjziU7ye4/fuYqf7N10fz/Zwx6MYH1bde7ROqEqjyKCVJReUr3w9IueR8qlCtYiuPVTRGcuQlmqwJ7kuFM9ZLKPP9zTWB/AxAlkPbCOUBVYRKNy0kxz/TGE5azN0TftpH6kqmnwEJyWvlqDGIOfHmD7Q2wc4+O0ndiPMAlH0UIEj+0N1SAoC0ycYJMMsZrVb5wDAQmCcWAiq4WsixkmSjFJilQlYTnTxzo1EsJkTzsA4phQLBGMxiKFgFBhjUWMAQMmybTQuFrSTPbU8OiNsPkewRo1IlqTRsolNsshiqme+zQJQY0Y025+xCk2TrUvIE4wIUBdEBZTjTgKghRzQlOzvnWW7/mSLwLgN/cP+f4nL3EO4VxxlW940/uO3ss+njhSscva4+nZl9cJEDDG4n2DcxHPP/8473iDFgI/+bEPcXjjeb7uD//Vo/t/5P3/8kXlrSe/n9c6vZ1tbDDbOIuxNXaySyRqppyKalKpKbKcvXSbKBWknGKBWSXkMfQiLaJdNCraTyohtoZUu7QpPewXwiABwZC1HznblvOuhO001il3LdaFvlXPJbZ6HwJMSs3T323059Ya9kvRLoPccGGoWwAW7Qd4/RCsMVxeyNFUP6LntGzUgDjVRg1FRiN84tY80Dgh/XkjcH2p96eNAUqtRh0tajmKwrk8h9IHUmdIrKH0Qh6pcD5oxfaXKgG+EydNmztN7Pdj3URYthsIQdSMAd2c6MdqEDRBNwJWOf+LGkDYzAwbWWsetO9LFunrmFRCPzYvGUfUcU/8LeBrga8HnjDG/EdgA/ga9GP2J0TkuRP3j4E3n/j6s8LJToA4unPM3e04uQkAGgnUmQAdHR0dHR0dHR0dHR0d90pnAnQ8cMJkH5/muM3TuI1TSLHUQtlWTA6zQ+pnH8dP9jX3PnidYr/DcQBY28IE0QJdl2GimHCwS3PlGepnPvWix0bb53CbpyGK8Qc7mCzHZn1Mlms0T1URmhqpK52KXwndixnu1DlIUqgrVXsFLdGNAvhai33TDCpDmE+xIRBkgYlTzdUPgsv7hPmE5tolTD5EioVuDDiLNIJUBUQJJhsQDcaYNNMYHWMhFlVyrUWM03ggH9TAMAabJEgbtmTiWI8F2mtgDDQlJk6OCnwBNQLqEpMPsaHRzP4oItSlDv73BvimVjPAWii1Q+BWk8ZtnsUN1/F715C6or7yHLGL2qLgPkaCxib5mlAutbPB6rYHUUyYT5FGFdzvftfbWc9SAP76L3+UZ+dQjC9wXpZ862NqDlzfucSb3qRdAIuqoHeiEPjldQKoieDavP8b15/lwoU3AfCLP/svMNbyzq/7PwPw9Mc/Ajce58JAxe/UgcEg6NT3qsy1aISyv844cwwW1xELkQipDaQmUHlHOS+h36PMhgyqqRo5ohsAo1gjbsqgU+fzGuogN+X0u7bQditXAX41gW+titCRhdrr9H5swcR6ft7DfqmiO+2GQC/S75eNxvNMKxgnhnFqGCSiwnXboS1BhfwQ9DnHqWGcwLTRn49i7R+ILEQO2n+tJG13Qdlm//di2C+FotE4pMSBdVp6DIb1dNUNoFP2/bgV/9vooH4MRQFX5y/PAFixMm3uNLG/lauBd2MZGCZGo5nCycfrtcojPdYq5z+g2w51axT0Yr0mXmBnKUeRRlrw/PLPv0MRkdoY883A9wB/BC34LYD3A39DRD74WTy9O3JzMfD9bgLc7F1Mlq/gH0JHR0dHR0dHR0dHR0fHa47OBOh4RZg0v62Q39y4rJE3bT7/3Sb+78bRcWYTPU6agUCYT2l2r9z2OHa0fmwA7F0/Ptc40Q2C/hCMJcynGOSmc2NTwD2MyVNksqcT+NRqYtgUk/Whnc431mHzQTvx7lVZrQt8UWKSBAmCP9jFFksIgXo+xQ6G0HhcnukUfwi089GAwViHL+ZIUWL67XWra0Q81BFiLQawoy1oSj2vJMO6tpDZC+I9NsnA6rYCUYRLEkys5gmkYFCR3zgIDVJXSFNhxxs0O1epnvw4UhZH761JM6LNs8QPvxHjHDZOCOUS0ozgPWE5w0YxxLEejza7vyoxcYzbOoufHiDFHICNPOf/+mVfCsCv7h3ybx//DDQVN4Zr/PHH3sk4Uzn5l/cO+eatiwBk7TbAK4kCAo62AADW266B2XzKJz78E7zpnV/LePsCAJ/+jz/EVq6T2/34OA5mVun0/HwVBeQydrI1ygUMvWUzaii8YdpEEEEZILfC0BccZilJGbM8IeBNa2GcGDYzuDSFus3/78e6DTBIwAokRrCoMG1RA0Bav8gHFe1rr5P3cesl1U4jdXYLPW4QwziF9VSn8IO0ZgKGyOprG7fZ/YWH/Voji7JIOwGKRgX5noPS6ke+8noOBn1cLahxht4eu+Pi4FkNTRDyyOCsYRircH5jqRn5q7z9ea0ie9xuXWRRayq8QgF9WkNc3H5if5gYEgs7i8BhpUbGWgS32pOlF7JIX1cWGXaWQuWPjz+t5UXbI6DHu5c4oo57Q0RqdCPgb93DfZ/h+BftvR7/B4EffBmndkeqB9QJAF05cEdHR0fH5x7GmC8TkQ9/ts+jo6Ojo6Oj4/Z0JsAD4lPf98958soLPHH5eZ64/AKPv3CJx5+/xLPXrxLC59/opx0dF/BqLknQzP8TAv/JfH6T91UYLOa3nfq/GyePc7fNgRVutIHJejcZAMBRya0vl7qhsJhS37iswr7RaXgTp5rbP690or2pCCFgi4VGBTmHVBVGPESx3keCZvJXS0JZQqh1G2C8jp9sIMVCI4Imh5DluPEGNBXS1IRijo1TJEqwUaSqblkR5odYX2s/bFNr7FAUY4Jopn8cY5JM1V8rqjTGOTQVNHUbFp/qdkAU6Si3sW3mP0d5/aEo2nMOum3gHNTl8fUGoq0z2OEadrgOVuOGTN4jPvMQttdH6gZZzpC0UFPDq7psnMNYR/Aeawwu6+GTHBOEP/c1X8MoywD4G7/+CTAGKZb065I/+caHAfjo3gEXttUAmBcL+lnvvj43d2JlAly58hSve+QLAPjIh38KO9vly7/9vwagLpd86kP/ir1CDYAsMixdyvXGMnSBLCqZ18JeIWTjiMwZdkvDp8s+5+MSYwKVGAaiAvsywDg0vD5ucAlQw2ZuqDz4IASEMqhQfKYHg1hjf8BQeKH0QhJbxMCyhtzpL+9V2W1Af76qcojanyURpB7WEhX9XWsUDBMYWRXWgxgQofA64R473RJYNhrrMzfgrFAFw7zWjYhhCv1Wk3Ttuawn+qugWm0kAE1bNDyrtKMA9PuiLQFOnW4I7LadAbdSn/hZ1Jofr5Q7TezvFWoIrDYE5rWaFf2YI3MC1NBwVnsbtCj4xfE+1W1ey73EEXV8ftP44/c9vk8TIIsdsbNHvQKTZWcCdHR0dHR8zvHzxphfB/4B8M9EZP7ZPqGOjo6Ojo6OYzoT4AHx5osP8eaLD73o52VV8cSVF/jUpWf55HPP8snnnuETzz3Dpy49S1H99vx/4ldROybrHUf9WIfbOoMdjPBpTnPjMnBvZsG9ci/mgUlzLeQtlkeT/wR/ZAAcHatY4jbPQJzixmu4/hi7fgqb5SpkS93G7BiM1bz+5sYV7Hhdp+A9WBfrcxiQxYxQVRqvYw1+MSMarhFtnKLZuw7FgjA/xK1vgnOYqI/Upeb524g4TQCjJglGzYamUfPAN7pt0NT45RxjI0yvj6lK/blvWuPiUM+9qTDDNWx/pJP5YoBWlZQ2n0XUFDBJgs1zpHaYOCHMJpj+mPiRt2HjGNMfEW2d0Z6B+SH45ui9NEmCaaN/TH+oWwfVQiOMgmj+fhwj00Oq6T5uMMImGW9fH/Hn2i2AX758hZ/59Kf1XAYj/sgbH2EtVXX5h5+7wv/wrrcCUGDp39en5c4kiZoPTdOaQt7z4R//e5x7w7t5w3u+AYCPv/8H2dk7QAA3XqMZD7kej8E4puLZrg+JJzPkxj6zwpNLzSCKuDF39G3EQ0nBlmsYRA0iGt60FkUkptHX08YLjRKd2j8o4al9jXu6MNCp/INKo4aWjU6aOyOMYkPeRgGVrajv/XHZb+pUxPeiAvqsAUFII0ODelteNKN/M9NomsSqyeFq3RaQNst/WsN2Gx8kaIRP2WjRsF31DkSwkR93E/i2U9qh8UCg49f75YtjcGKrxcDT+qWn40/G7jwIbjexDxz3HqCv87DSLY2TRc29SF/bQcl99xO8VBzRsIt4/7zmpk6A+zQBjDGMejG7U22lniy6OKCOjo6Ojs85fgN4J2oC/C1jzA8B/5uIfOyze1odHR0dHR0d0JkAD4wf/T8+whtOn+HR06cZZPnRz9Mk4e0PP8LbH37kpvt773ni8gt8/Nmn+NjTT/Hp55/j2etXefbaVa7u733Obg/cKWpHABbTo9tDucS2vQD3Yha8fISeFZwRvBiW1mL6I83+N1YF/BCQckGYzwiLKQBmMMKNNog2ttWcSDJslmlcUBRDNCDsX8MvC2Q5RUSgqYmsw26dxsapTvP7RmN4kgyXZLjhWjt1r8KpyftEZy9SP/O4bkTYCCkLxDfaM1BXiIvxkwkmy7DGAAFjHCIe6zLtAYhipKkwgk7YNzXiBRtFNHvXaXYuY3pD4q1zmv0eJ5g40jcmBMR7jAOVZz0GAeu0JDfSLgBjDNGpc4DB5n384a4aPttnMGgmvRijZsFijgHCYoqJEu06WM4RY7BxTDPdQeoKN1pHKi0GpipIspx/+Lu+jcQ5Gu/5c//+55Bqic0HxOL4M+94GwCfnsw4lx1nYG+2WwOvlMVyRi8fUJZLzp/XLoBf+chPwtO/wlf/pR8CwDc1P/8jfwcB6u3zhO0NDpMUyhoTPGIdh8NTuHRMTZ/oxvM08znZxphziwm59QQMB8HQF9iKaxICpYtYLBooavJIRXEtnTXMa+H6UqN2JpVm4weOJ+HjdoK/bISNTGOCmtD+aV+bayN5RPQj2KBi/7w29No4nUUNywAjUcNgUsI4Oy4PXugSy9FU/rL9O491qh/UKFgZDr32Laq9TssnrfDfAHWpMUEawnLz5Hs/BoNwYynM7mE6/tbYnQfFrcdbTerXQbBGv9etgeOi5tgZrs6F56f3309wtziiVYFwx+cv9Qkn7H7jgABGeXLCBPjtOUTQ0dHR0fH5i4i8yxjzpcB3A98J/GngTxljfgE1Bv6ViHT/A9bR0dHR0fFZojMBHhC/9385jiU+s7bGm86c0z9nz/Hms+d56/nzvH77NNauiknd0fbAd7zva246Vt00PHf9Gk9fu8LTVy/z9NUrPHXlMk9eeYEnr7zA/nT6W/nSbuJOUTsrwmQft3GK+OzDqgDeg1lwvxsBqyNtRZ6tqGEt8q20DbONU0zHObvpBmE+QXRkHzfexOYD/GHSitMbmCxD5jPdFFjMjgwDl/Ww1mAGazgO8NUCKZbYLMcYbVsN5VJjerI+Nu9hUxXrjQi+LDS3virAtVE8UYyJtNDX71wh7O9opE9/hK2WhLnFRREMRhiXYOyUUJaYJFVBvy4JjdeJ/xCp+J728MsFIXg9l7SH7fUh3tANhVWrcWjaHH0HItpzECeAR4LFWKdbFtbo440j2jyNSRLc5imsbV+DtVqu7CKd3A++jRLykCT6+ldvj/fIfIJk+U2lzH/+y7+Ud5w7B8Df+tVf52NLVZ1DMef3vvUtnO2pgfb3PvMMf/ltbwDgsKoZJzFBpDVJXj55Gyl0fecFLp7X4z/+I/89b3rkUd7y5d8GwBMf+pdUe89RjTapNs5hbIWd7BLJsWgXl4HQG1FunEXKgmy2z8ZwQD3uMVju4ggMXSDGM7INeeKYhgLTLDloYCk6UZ63cTjLBtazdgPAZEzTCOsbhmbJoBWgexE4Z0gijfvxrZAf0CLf3HGUeh6MCvkmoIaDQGIgjcB4vdusghuFbglI0Lz/WTvlb41+dIpG75uIPsco0TifQQy9RDcLlo0aA5HV57FGPxKm7QyIDKTOkFgV1lNniKxwoxCuLVT0fqnp+NLfPnbnwSMMYtN2QRxvOGjsj17LSSVcehkGwIqXKhDu+PylfgWbAHBzL0AXB9TR0dHR8bmIiHwE+Igx5s8Bfxz4k8BXAF8O/M/GmB8A/qGIPPVZPM2Ojo6Ojo7XJJ0J8Cpw9eCAqwcHfPBTn7jp51mc8KazZ3nb+Ys8duEh3n5B/3709Jmb7hdHEY+eO8+j587f9vj70ymfuXyJz7zwPI8/f4nPXH6eT116lsefv8S8uL+8/fvhZNTOXfGe6PQFpCqpLz9z27uszAI32ngZJoDwUFJzMakZRp5pY6nFkA4GPDIyLOtrZDQ8V3hWqqgvFtjeEDfeQCRg+wM1AJzT549izbG3Fj87bGN0BDNYxwpI2MGONjHDNfx8AoAbrWFcOwq9amg1DpdmahJYp5P+5ZIwPaTZuwa+1gn8/hA3GGOcI1QlMjtob7PY0ZpuT8ynhHnAZLmW7y4mmCRVhTV4/I3nsWvbRONNzNqWGgRRjM1zjekxRrNiAGzUBqobjI1UnfUWQyvu9waYKMJkOVLVuM0zmP4IxCO+ISznaqbECSKiVzXtYV1MqAuMSyAVpJgTFjN9j5sas1jg1jaJTp3l4dGI//Y97wTgY7v7/O3Hn8O4mPrwEgB/9O3fBsDVZcHlyYQzuU7/jxO9xq/UABAJmLYTYdQbAHD9M7+EXP0Eb/j2/4eWMANP/Lu/w1Zu2B+uMUt6uMUO1gjVCX3WGYHlIWXvYdxwndHOZ8imFj/eIl4bcCpMMcHhbU6ILVZKhs2CvitxuUbNZE7jfEAnwkeba+zn60zSdQoTs0FBXh/QLw8IswmLBqalEPp6HXptlJCz+ovcAPXRa9Xp8lL0bW9aMTtyGs2TtIK9922dhFGDTkS3E0aJCuCxVZG/sUIZDE1QA8BZnZL3oqYAomK/c9pNUHk1BmYVhFZYr70+ZxDdAHh+diykv9R0/P3G7rwcNjMtB16VHG9mhsgIWWww6PlfWwrPTsMrPpe7FQh3fP7ShJObAPf/+2yUH29HdZsAHR0dHR2fy4jIPvA/Af+TMebr0a2A3w38BeDPG2P+Pbod8G9FpJuC6Ojo6Ojo+C2gMwEeEOc3Nnhhb++u9ynqit947ll+47lnb/p5P8143fY2D29t89DmNq/b2ubh7VM8sn2K122d4tR4fNP914dD3vvmt/HeN7/tRc/x3PVrfOrSs3ziuWf4zWef1j/PPM1k8QB6mazT6Jtwe7XK9obY/gC7to1b2yJM9om2K8J8ciQMn0SKpYrPaX5fZcFbkediUhNb4ZIMII4geMp8i1m8ydbBNS6OPUXvFNcXx6JLWExx69vY3ghZtBE/tUYr0NRIXWD7Y83pn08xLkb8EhPFmKyPiSJkucDv38CmOWZt80R2v9PA8ChqM/8TpJ5pZn9VEK1vtxP5luihN6hojhAmuxqrU5X4qsQf7pE8/BYEodnfwQSPHa1D8Fqu3DSExRS/dx0JAdsbYaOYUFdQFIibI2mGMV7PxRgV7UNA24+tbieI6Jh4E/T2tKfdACvTwFlc3kNECLMJvVASxSliPEtifV3WYXoppk70cd4SyoJQFRhrdfvAWaRaIk3D3/j6ryKP9FfOf/MfP0Q1P8QXC9xgzBtjw5ecVTPsn3/mKX7vxbP6nj2A6X8R0Sij1qd57vlP89CFNwPw1C/8MIc1PPzebwXg8hMf5YnHP8HptYRRP2ZRzyi8ZSNqWCC0gTsk1rM0OZtmSX8952JIGTa7+MUc8X324wFzydkOS6qy5EZd0mtKxgmczmGv1Ez5ZaMROuOtNZp8k9qOWBQwDCXrcUPd2+T5ckzGDfKDq0xruNH+Ux6uTAD0tKq2hLdstBDYo6/XCUwb2F2qSO+MUDQq9qfOsGx0yyBxag4kVife+63e6APU3jCptdh0MzM0ApNCP06x1edZNDAvdJo/tBsBTdDnypywX4rm7JeajX9SSH+p6fhX2wAYxrCRGayBZyfC2b5em1Gq1zeLwEdap1EHi5HAcy/+lXbfdML/a4uTcUBx9Eo3AbpOgI6Ojo6O3x6IyM8aY34N+MvA96D/Qf07gW8EnjLG/CUR+dHP4il2dHR0dHS8JuhMgAfEpf/lH3Ewn/Px55/jyetXefbGDZ7Zuc4z7d/P7+3S+NsrPvOy4Defv8RvPn/ptrf304zXnzrNo6dP8+ipM233wFnedOYsD21t33Tfh06d5qFTp/nG97z35vO7cY3ffPYZnrl2hWevXeW569d45tpVnrl2hSt7u9zTAEbwEILGx9xykxtv4sYbOqkeRSo6S8CON7B5D3+4jz/cvekx2hFg1Vy4Z4StqGE07HE53SbO+xpN4xx2MCKUJdeXgYeiPTb6PXaG53QaPwQVppMME0U0yxkWQYwW4ooIoVhqbn+ag2+AmjCbAIKfHGCSBJkeasZ9FKlR0B9pjJBvNAJHPMY7NUq8R4IgxuLGG7itM0hTq/GRZMh8gt06RyjmsL9LmB9i+0Oaa8+CizWiqD9EljNkuUB2rhGKucYc1RXxxUexozXCYoIslwRf4+IYqSpN74mcbgDgCeVcNxuygW4CoC2rgl4XcVY7CggYZ8EHBGGj3GPTHDJwB8RiCOWcw2jIPgN2zZq+Thfr+fka2x9hXEQoC8xgDRPFSFnwDedO8c0PXwTghz7+m/zS/gTjIlySQz7kv/ridxy9wx986il+9Fu/GdDJ2cS5V2QGmPZxqyiu2XS3/fwFfuVXP8D4zOvZep0+/yc+9OPMa2GvcWxEnllVMAuWnhiG1jMNlryXQTrGxhmDOCWhx74/R6+4zimWlIuCupmQYthIBGdrQoAFKrbbtgh4p9BtAPKcdNBnQ2r6xRW2guXAR2QE9pcx0lvDrm0wZM64ntFPVJhvPEzb6X4r2g9gjRoAxkBmYTNVvydLVOiOHRwWhkWjE/uYNrdfv2QrV6G78roN0I91or8O2g8wr9VQEDRySASKNhKoaGDR/opbT2EjRXs6Gj232MKiDlxd3P59upfp+Fdrcl4z/w17hdCLtLRYRJhWGsV0UGn00rw2bKSQRxYxgUvTV++cOj7/aE50PrysOKD82AQ47DYBOjo6Ojp+G2CM+XLgT6EdASm6uPqvgX8P/AHg64AfNsb8aRH53s/aiXZ0dHR0dLwG6EyAB8hav8/73vxW3vfmt77otsZ7ntvd4anr13j6+jWevH6VJ65d5YlrV3jy2jXmZXHH487Lgo9depaPXXr2RbflScIbTp/lzWfP8ZZz59v+gQu89dx58iQ9ut/F7dNc3D592+NXdc2z16/y1JXLPNV2EDx55QWeuPwCT15+4ShiSMolYTHDbZ2BxXEvwSpmB+vwk33s+jZhOScUC6RYYPtD3HgdqcubNgKMdUfRNvdKzwqbW+sU43VsMtaSXQkYm2IGY1xSga+Zzm4wbF4gyyKKZEjfNjgf8PtXWQ43MBKwQzUtNGdfkLpAqgqTJNj+UL+OU/ANNs2QskTKBQYDdU0o5lhrMXkfaVRRNc4h3iNVAUkKxRJpakzeww3WkKbSsHQB0xuA97g4waQZ/jBHZof4w32krjBRjG8qpKqRYobUx6KPiRPscEPfl6bRDQeAyGGMwUROVVpndIOhcW1BcI3xbRyQoY0MapDFVCORAJP1QOBifYOz82cZRjDP+lRNTexrHmKHjWqf1M15IT3V9gsYpCox+QA3WsMWBX4xwTjHxTjif/td3wTAQVHyV37x1443SuKEN50+zZ94x2MAfODKNb7rbW/FWUsQIXFqEL1cA2C1BRCCx1rHjd3LPPSQbtA8/dxvcr1qeM9XfdfR/T/x8z/OogFTCIPGcC5ueL4QFt6xGVecH/ZYZCOIIlzjMRgmJBzkZxlH0K93SIs5Z5IaH1SIj12b3d/qf6VXQXwY64Q5WY6LDNenFTHCqbjmdFRz3Ufs49gqd0lHA7JBj2Q6w4sW9XpAgsbyJA76SVs/YTVKpwkq1scOBg62czgsYK4pVcROj5M6nXavA5TaaU1sYd4cFwP7toR4UkHlhWFqSNotgCDCXnn8/mxnaiZkMewvtQC49HCqB73Y0osDz07uLJrf7mfDWIX6XqyvbVVifLstgduJ8ncT6gcxrKXgWyO0HxvGCThrEDQ+CY7fvxtLYSuH148siRWElz6njg6A+sQgwMsqBj6xCTDtNgE6Ojo6Oj5HMcYMgD+M9gE8hv7n5WXge9E+gGvtXf+xMeargJ9EY4JedROgPbfvAb4DeBT9z+ArwEeA/0FEPnHL/beAvwJ8K3AW2AHeD/xVEXnx/3Pe0dHR0dHxOUxnAjwg/sK//mHedvYsbz19loc3tzgzHB1NHgNEzvH6U6d5/anbC/Ev7O3y+NUrPH7lBR6/eoVPXX6BT15+nmd3btx1Sn9ZVbc1CKyxPHLqFI9deIjHLlzkbRce4i1nz/HQ5jabw+FN903imDeev8gbz1+87XNc2d3hM5ef59PPP8dndnZ4sqj59M4aTz7zBD5ovr5JUjUA+kNYzvBBsFmOLxaEuRYB2/7oZhMgy/E7V+8rCigejUnGQ2qXEA6P45eC97jZFPI+bjCmqRe4csbG4mmy2LJmPU48IUqZpa9nb7TBXpRg4oRQlxhrNQqoqZC6RuJGr3uvR9jboX7+KWx/iB1tYNIU8Y2aAi5BVtsPWN2EaGrI+zom7Rui3hCTZqrQoqKhxhC1Qrx12KxPODyg3rlKWMwwWQ9jYqhr8PVNBgC0/QxJCsbixptqKNSVlhyHoNPvRkC0GNkmGaEs2hggUXW48UhTEab7hMUMm/fVAAieLUrOlddxVcnz8RndXGCJSTIOrWOz3OOC32NZROwWGeIbjHMYDEbA1wVhNmVtNOZfftPvYLuvhbx/6QMf4trONaLxhm5d2Ij/17vfTtyK/v/g8af5oa/ULZbrRcmZPHtAWwBqJly+cYl3vuVLAPg/fvU/UuRj3vp1f0Rve+KjXH9G/7t/Nl1SzBrSzXWEQ2bBUrgtltk227ZgWBwyDRkH0ZBqNiXeu0G1HpHmPaCm7yuWtYrnzqggnqj3w7JS8XwQQ+NimiihaqAKEWI8Bs961DCOGtasJ2Cpmzk+zVlMY6K6YpgYgqiJsGyn9FfRPE2b/LTK7A9OjYGigiJogfAwUUG/9IJgcAIYofSG4PWYuYU01lz/WS1YdBNgXsMgFryBSAzGGPJItwGGMaxlKrpPSjUSppVhv9TfYef6sJU51tLAjeXtRfNbBfvNTKN6UmfwIojo6+lFRiORCmGvuL1R0FZjv0ior4K+nl57/zM97TvIIxjFgDHElpvOa3U82xos5/oGC1yaCU37Pm/lN59TR8dJ6le8CXCiE2BZHZmcHR0dHR0dnwsYY74Qnfr//UAf/f90Pgj8feBfi8iLRj1E5IPGmJ8Evv234PzeiG4gPAy8APws+p+Jj6BbCT8NfOLE/S8AHwb+/+z9eZhsW17XCX/WnnfMETnnOZlnvmNNtyZmEARBaQbFF19R21ZQabqdWqVttRXnobHlVVuhRRReEQWxQKQKFIvqgpqounWr6g51z71nznPy5BjzsMe1+o8VkRmRGXnGPPeeqtqf58knMmOvvfbaO3ZkZP6G7/ck8DrwPuAp4H8AvlMI8TVKqZce9bozMjIyMjKOiywJcEx89bnzfH7jNh967SKf37jNWqPOQqnESrXG6doMp2qznJ6Z4fTMLOdm56jlCxP7n6jNcKI2w9c/85aJ5wdRyKvrt3j51hqv3FzjpZtrvHTzxl2TA1JJLm9ucHlzg198/rcmthU8T3sPDH0ITs/Oc3punrPzC5yZm6dWmEwSLM3MsjQzy9e+9R0Tz4dJwqWdHV5rtHi1XufVnV0+f3udV69eJgoGiNlFjFwR2e9AFGodfdtBxRFGqYoK+qTtO/soHKJYI3UsrHYd2K+KJImRcYDhumA7ODmXalzHMyW2knRjmxgDt1pkNW0wEw5Yi3qsq0UM19NdC1GIUShjVucBNfQMiFBuF5ErknaaCMdFlKoQDnTnQOIiu22MYhXh+wgMlDAgifCjLkWRICxBF5teHKGSSAfUDQuiQB8ninRkcSiyJBx/2HkQoOIYo1zd67wQtqMTAH4B4fn6muaKWvNeSp1oUCEqdrUJrjCBRG8zTYQwUHEMQiCjAJIUmehIp0piRBKD7VJLWuSDFjftCkKlqGHSQikFScKOVeZksEHNaLIVFRBCYBTKyH6bZHsdOehAq8mPf+s38kytCsCPvfgS//HFF3TyQYGZK/H1CzN8ywntBfAzN27z9ctL2MPkWc3Rr+/DegJIKfcScuXqMgD9fosXrnyO0099BeX5UwA8//5/tbePAES3yVauxi1nFdHZoVM+xcBa4B2919ihTD03R5RAvj/AViZi0MEsGZiOS68dwdCM1zR0IH0+pwPFgbFv6Ns3tJxPJwHHSMkLRSBNdqSgbCXM2TESwW1p01A+bmJiCUE3hvzwt3fO1F4AQQLGMADe0x7TCPRxejH0I+ilertramminUAHtj1L0QqgFSncoYe05Qr6w+cGiQ6QuyYkSiGEQcXRcyv07ZuztAFwyYU4GRoTp9COFJYBRVsQK0XFgZJtsDuQE0HzOD0cxBdoSaLRzzlb7H0fJDqRAoKCrXBNQcEWRKkiVlB1YNYTKCHY6UsaIVQ9OF0U5G2BRK9vkOjXAwU1V1B29Xl1wsn7aHRc19TrUGhfhZFcEkA/URQdbSocp1lHQMYkSTrmCfCQckCpVPTDhLxn32GPjIyMjIyMN5RPDR976Kr+/+seg+RdHnFcQghRQicAVoE/B/yIUkqObV+esoafQCcAfgL4Y6PxQogfAv4a8DNCiLePz5ORkZGRkfE4kyUBjonvfPs7+c637/+cSsl6q8mN+i7X67tcq+/yX199heu7O1yt7xDEMadrs5yZneP83DznZue5MD/PhfkFKn5ubx7fcXnu9FmeO3124nhhHLNW3+Ha9jbXd7a4tr3F1b2vTTaazSPX2g0CXrm1xiu3pnsQVHJ5zs4vcH5hkfMLS5xf1P4DTywtM1ss7Y1zLYtnFxd5dnFxYn8pJRvtFmvNFjd7fW52e6y1O1xvNriS97neatJtN0l3N5Htxj1fY+H6BH6ZZthh1YhppDY6TDg8br+H4frg+Jy0Y7CgHcNNexZMG8P1CIRLK0qYC1qslGxi36LuVTGLNV2Y73pguag4QjU2SQd9hO3gnH0KWd8mbe5oiaPanO5qUEMHVPTffjLsUeve5lyyw8mkTslMEIFFW+RYEyUuixp1MaPHC6FlgSwbkJiVWazlMxANELkS6fY68eYaInAxF05iOC5GsaY7AFwPszaP8Hwd+E+SfXF3qSCJkDLG8AuoJNEJDCFQMkWmsTb1dT2EYSMsB/ZkKhQ5FVGOu3SEpz0FXB+SBBUOEEmCQoJSdOKUkqiTkxB4FZSUyEEfYRqYpSp/9+u/jm8+fw6Aj155lV/86H/irUaHhoppmjU6ls3feu5ZfU/GCf/k4hX+2zd8BQAXOz2eLObv+d6YxqhKNk5jXMPl5s46pxd0t8tHXv44PSfHe75SGwLH4YDPfvDfT+xfHDRo7GzSKZcIFp8mKC2QUwGhW6Bt54jiFLe9jdVvEQF9KUhTRWrZ2LYNaUyS6LnsYSIgN7xlBTpwnyjopyahsDGQ9BRIDFJpD6vRJYk0CC2HIDUQiURZ0Ip0xXwQ6mD+qBJfDn0BbBPyhjYJTtHH7sSA0okAOfQQCBKBlIq8ravstwc68u4Ng/tRqgPdoLsayi6Eqdi71YqODo7nLDARlDz9logTnXgIEoVtgG/pfbqR7hTxLH0d6oEOmp8pCWIJUgmCZL+yfjkvmPGhG0OUCsJUkQ7PseoKIqmlfJQShFIH6T1LSxXlLEEoFWGiKDmCmgd5R5C3dPIglrDeVVhCYBk6UbE9UFRcQd7W1y4c+5fONnQXh2lon4CuzqXpt/8YnUh3LuRt7XGQkQFaNiuV+/fDw8oBgTYHzpIAGRkZGRmPEa+jq/7/tVKqfa87KaW+D/i+R7Yqzf+O7gD4/yml/s8pa1gf/1kI8Q7gm4AG8CcPBPr/OvDdaKmjbwV+6RGtOSMjIyMj41jJkgDHxO1Om6WxALlpGKxUa6xUa3zVuQuHxg/iiGu7O1zZ2ebKzjafuHaFf/upj3Npe4s4Tbkwv8AT8ws8ubDIUwtLPL24xHK5sre/a9s6QL+wNHU9vSDgyvYmlzY3uLK5weubt3nt9m1e21hnvXHn6vtmv8enr13h09euHNpWKxR4cukETy2d4JkTJ3l69TTPnFzldLW6N8YwDJYrVZYrVb7siGNst1tcWb+150Nw5fYtXr91k0vrN7ld352+k2GCYbKTOlSVzbwRsiVdRokAFfSRQY8FV2HlSySWQ8NbxS0UwbC0bn+SIAdddgKLFTWg3FpjOzEx80VEvgzC0Ma/rV2Sxg5q0AMlEbkCRm0BhSLeuoWlFCJXQAXa5VT5BZRMOBFs8Vxyg1PJNkoIulYRECxFOyyqTRbMWT4tIxpWEVNKUtOkb/oI14Yk0fr6wtBrdT3MUhWjUMaaP4lZmUENg/2G5yNsT5v8ComMI4Rtgzk8T6VAmKgoRCUxsrFD2muBZWtvAgGmaYPnYuYKKCFQCi0vJGOMNCR2chhOHmxHS6oMK8sFBioJCIMBVhRCqlCLVQyZYlgWKMn3P/s0P/DedwNwdec2/+BDv0yYJFiWySlvwIKo88z8kzxd1h0xP/L6dX7b4hx5S8v22Mb9B8hGjIL/I5kM19beGOmw40FKyS999pP4tVWee0ZLD7384fcRdJt7cxQdrX2vbt+g2o5oLZwjKM+TKi1bVOhsEfYHWP0WAnCEQimDzcSmbBlYQ9PcWIJKIBZ6zjDVhry9GGIF3SAmcBNkocBgEFE2Fa3EpK8MSgiKQnFTCrBtiv0OaRwiTYEtdBA6SSFOdXC+F2uZHIAZU8vexBKQ0B+a+ZoGiOG/MEGqq9oHSicFbFMHtMNhPiiSkwHuvK0r4G1DEaU6wC3RAXfT0AkOC9iOYK2j53csKDkCIRTbAz1ZqptSGNmBS6Ur9tsxXG+PyaUY+viuqbMmt7uKYKyJPEgVeRsWcuBacLMj6MU6SeA7gooHzUDgGIraUKKoFenzihRYAsquoNfT51N0BGVH0QoVs74O9I8q+X1LJ0TiYcJEKUWi9HNySpw/SBQ5Wx8zMwvOgMkuAHh4OSDQ5sBL1dwRozMyMjIyMt5YlFJPvtlrmIYQwgW+d/jjj9zjbt8+fPxFpVR/fINSSgkhfhbdDfAdZEmAjIyMjIwvELIkwDGxVCwRpSlbnQ6tYECU6hJg33ao5XLMH5DY8W2HpxeXeXpx+dBc/Sji8s4Wr29t8trWJj/9yY9xcXODrU6HszOzPLW4zJmZWVZrtaHc0CxzB3T+857HW1dO8daVU4fm7wUBr22s8+rtdS6u3xz6D9zi4u1bRKPS5SOod7t87PWLfOz1i3vPWQsrlOaWueBZPLO4yNmZWU5WKqxWKqxUqqxUq7jW5K02VyozVyrzZU89M2V9Ay6t3+LizRtcXLvBxZs3eHXtOhe3toilZNfI4aU5Vsw+K2afrrRJ3DxuuUIp55LmigS5WRpWGdsuQRwggwFCGNqboFhGdlu0d65SEhu4PcWgMI+FQpi21tS3Hcx8EYoVHVxHgGlh5vJEcUxy+5qWv/Fy5Czwkh61cp5n2GIpbbBr5GlaJYRpIyyTbXeGatTgQrzDbL/JDVGia+VQbp6WV6FuVNnBxCxWkf026c4GycYNzIWTmDNLCNsmbdURpqm9C6RE9loY+TLCtDBsF5mmYAiE4+kSZdNAhhEq6iM8H9N2wDQxc3ktD6Qkab+DYTsIPwdpqs2IVUiSKCwClMxpXwKldPBfpiBAxhE2kFoWFOcxSxXkYIDstvgb3/D1/Jl3vm14v7T4U7/0H9k1c8iciwoDGnaRRdPgB57VBtq7UcyPX1/nl77yOQA2g4izef+O9+GdGNfI7ocDcq5PGIeszOsugI+++gIfUVX+9lufwxx6BXzqfT+iDXKFriQPU8VuoOjG4Dc3MIMuiV8ktWzE4BY1Ouwkw3J2tHxOADSli5UOqKJ19cNEB9nzDhjDwH+UQk/qZEA/VjhBj8jN4+byREGXvjLoS4NeYlExU/K+TxCH1OIWXVN7C6RK0QnAFIKcNZTKGfo9O0Nj4EGqA/E2+vm8qW8LW+h1pBKM4ToiqeeSQ4mxeCgvVHUFwVDHvODowHmMrurfDQRRqo9tC2hYsKy9rgmHX4kUlPOAEnhD2SLT0B0Lo9i4bwkUglTqroGRtI4xfC3iocqVb+2vZYSBDuTHEjqRIhoaIyugGeiOg7wtsE1tojxItOb/INavnGNCxRXsBgrXBNvQ1yBMoebp5Ikp2Et6REOD4yjVHRRhur/ecdKhb8GDp7IyvtiIDyQBLPP+Zc7KBzoBOoPoiJEZGRkZGRkZY7wLqAI3lVLXhBDvRQfvZ9GGxf9ZKfX8gX2eGz4efJ4Dzz93xPaMjIyMjIzHjiwJcIw4psnJSoWTVA5t2+y0udVustvrE6YJtmFQ8nzmCwVOlieD5DnH4a3LJ3nr8smJOaSUXK3vcHFjg89v3uYDL7/Itd0drjd26QQhK9Uqp2uznJqZ4czMHOdm5zgzo392rf0KwrznTZUYStKUS5sbvHxzjZdv3uDz6ze5tr3FtZ1tNlvNI89b9tr0ckU+MzD59M2bE9sMP49VnWe+VGTFMjjlu6wU8pwuFzldqXJufoHV2dm9YKxen8/bz57n7WfPHzrWtZ1tXt3Z5ZXrV7m1uUa7cZtB1KVlmAxcnzW7SFKc5QR9UtPe1+iXqa6QRyG8nA54ihWcsItjzRAVqghAJQlGXkvoEMe6st3W104ohbRszBNnUUiqrXVmOl1qpTyO3WIlirhgdelhs0sNszIMSCtASAwhqCQ9ZpOAju3QNCo4QrCaNqglHZzA4lo3QaAwHFcb/soUs1RBBQPS5g723Amt7Z+Ew6r/cM9cGNPUOiyOCYlEhaE2KVYCo1RBJTGq3ybttjGLVYTrYoTalwDXxzQsZBLR60W0YsEqPZpSmw+rNEaFge6KcFwwLfJhj+uUCQo1TNPGMwJ+9Hd/G99xTt9XzV6bP/UzP8HtzVtY8ycQju4oEJbN+VNPc642D8D//fo1zroWbx12BQytkx/KEHhEztXJhM36JqsLqwD8k1cvseCYfMMz7wHgxZc+xs2br+MaOni7M1CHzGrtoIvfuE134SzdMCGwDcpmSivV9+2MFXHKDvE8QTnsIdIYIXQQuhfD9gDaocIxFY4hdEeF0CJShbCL3zdp5GbZ9RfphglCJnQsh6t2hVzax+o3cKMeHbTGfnloXDuKI0bpUJBK6pe/F0M91MH8eV9X8VtCB7UROqies8BRkEpBmCh6CZSGhsGxhEGiK+3ztg5oCwSJVFimlvUZVccrFIYFWwP93JyvK+cDnZMiSnWlvj1MAuRsuN3VnQq2OTQ3ThTGAWkdc+iXkAw19x1Tn0Mylgfwh4mPeGiMjNSB95F+vwJyQ7WrUOnnjeE20L7ZrqkTAPVA4QxlfjxTsZgXzPiKzd6ww0BBwdXrkSjakTY1nsbo+PcrEOuYdx+T8YVJnDx8J0DOtTANsScr1O5nSYCMjIyMjMcHf73dIgABAABJREFUIcT3AH8L+B+VUr96xJhvAf4Z8L8qpX7uDVrayHTvlhDiR4A/fWD7Dwkh/iXw/UqpUUXcqJJuun4u3DwwLiMjIyMj47EnSwIcE/04ZhBHKHQyoOC4EwHMhWKJhTG5oBHJUD9/s9uhG4bEMsUyTEqux0KxyFKpvDePYRicm9X+Ab/rLW+bmCdMYm7U61yr73B9d5dr9R0+cvl1ruxuc313l1o+z7nZec7Pz3NhboHzc/M8Mb/Aam1mbw7LNHlq+QRPLZ/gu9775RPzD6KQ6zs7XN3e5Nr2Fle2NrmytcnlrQ0ub24SNHewKrOY5RlUFKDSFLNUxSzr+W/vbHOr3eATpqmNcaOApLlD2tjCMk1Oz85zbmGBC6tnuLC8oj0IZmc5VansmboCnJ6d4/TsHN/y1FOHruXuYMCNfsDtMCJob7LV3OVyGHO7N2DdNOg362BYGKaJdPN4UZtoIEhNE8PLgeMhtCYOpCmGqcuHZbeNsGxEvohhORBHrMwVWPZyeJsbtDd3EKTU8hFVu4PplJgvzdIw7T3d/2IaMJO0SIRJ387j2jbKL9C0fJpKMdNcY3H7Nq2Byw4+Rq6IWZsH2wWZYrge1uwiRq6AShPSKMawteGtShKEKQGBSmMIYlQUoQZ9jEIJo1jS56QU2C6G4yNsC4YdD1qCyBwmEwxUHLKjPCpRQi26wY5ZxMiXUMLUHQNxwly0S98t03SXQCmeThr86Dd/Lc/O6sD+xs4t/tFP/x9stGPAI+21MM0aMgyxLZMfeKeW4elFIf/2tYv84HPvAHTgf9HT8j0PmwAYyQIBuDn93ntpa4P1m6/zvU89hTNM7vzr9/9HGoGN1+8jmS7fIoBca5OwNMdWYYlC/yYLVsSyHVAxE+atmNmcgaMGDIKIQaCD0omCVii52tGB6pqnNe8VcLIgKFhDff5Wi0FPEbgx+AUKliJIBa3dHrWoQS1usZPoYLk0ha7st3V1vpT7kjQKxVpH7Jny6ue07E8wlK5JhxXxo4B4xdVJCqkUM75gMS9oh4purAhTxZwnMA2BUArD0Ia4RVtfp0GidLX+8FjtSCcSap7245BK33YobWCc83Uioj4U2x8F7AV67Li0Tiq1+alrQZAKDCb8s7GMUeX+cN9hjFUy7E4YGjBHse7ECIddC3Jo4yGG48JUdylEqSKW0AgUgxiaob5/nGGHiAK6IRjD69CKpE6qTMGzBDsDdc9SQEV73xQ544uT5EAXi23dfxJACEHRt2n2dPC/NcicpzMyMjIyHiv+AFACPniHMR8EysAfAt6oJEBt+PhO4L3A3wd+DGgB3wL8U7Rc0G20dwBAYfjYO2LO7vCxeMT2PYQQ88Dcfa86IyMjIyPjmMmSAMdEzrbJ2dMjOHGaEiYJCPAtG3MsqG0ZBicrVU5WqlP33e312O526EQhqVL4ls1MPs9isYQ1No9r2VyYX+DC/MLUeTbbLS7vbHN5e4vLO9v8xuXXuLS9xe1mk9XaDE8tat+BpxeWeGpxidO1mYngu++4ewmCqfO3mlza3uZSvc7lZovLnR6XgohLO7v0d26jkmiodR8hBz2MfAmrMouKQ5Jui0ubt7kapXyoEyFev76XSPBcl/MLSzxZKXGhmOepWpW3nDrDE/MLOAckhmZ8nxnf1z2Zy4evQ33QZ73bYb3f41anTW+7zPMbu1xuSgbBADNX0HJAQU9HCC0L2e8iHE+b8Zo2WBazIuBktINdKrHJs0Q3XiMNIoJajnqSYBkWM6pHLHN0RQGQ5JMuroxoWAVy6QDbVBi2hTBMZL/H7WafE3GHGdtiV1nIfkcb/7o+CBPhuog0RcUBSgJpAoMOyrK1OXCiOx1UEuttgDJNsB2EYaDiBOIQMLREkWEikxgVDbsd0gSVSBC6/HonFjiBzYrqcSLZom9JYtPFCnoUoi6dWHHTKrMrBT/49Cx/+su+grzjAfDi2mX+7c/8TdSgzSnh44oiW6qICgaooMcPfMvv4XxVJ4fe9/kXOFnI8z2n9H1VDyNmPZdYygf2BRgF/6VSmELw+u3rXFjSRTq/9cKHWbn6Cb7u278LgLWNNV557XPMxum+Ps0ReM0NlnMe5vwS1swsKmoza3RYdSMSw2ctgmLQRHQD2sMC3aoHFc+gHMqhRI5is6+7DLqxYtYTLOTR5rTdFvP9FlbfJcCkFUiCzoC+CzNFg5yluwjytg5IGwI6w2r/UMKMBxKBGlapVz0toWMIXUmfM8E1tMyPN3zrBKkiSXVnwnYfPEtX/xdd8G1BM1RcbiksQ2mTXk/LDPVinQAQAkoGjGLh/WEHgmPCYk4fq2DrtQgB9QB2Q0V/GLscBeyLttbrH5fWkejjjM65F08mCQx0h8Eg0ZX5o10TqQP+BVuPiYdB/1QOjY5NnRQQCoKhb4Ip9Fco9XFNQ/BaU9GLpTYKdoaST6k+h5ytpnoBwMj7QR3ZJXCQGU8nh1xTJ4gyvjg56AnwIMbAACXf2UsCdLJOgIyMjIyMx4u3Ap9TSh2ZpVZKRUKIzwJvO2rMI2D0oWsDP6GU+otj2/6tEKIPvA/4X4QQf18p1T00w8PxA2j/gIyMjIyMjDeVLAlwjEil9gKP47rktmlim9N1HsIkIUi1a6drmXjWZCJhJp9nJp+fuu9mp81Or0c3Cklkim2YlD2fpVKZkudNjF0olVkolfnKAxI7UkpuNOq8trXJa5sbvP/lz/GPPvhfuF7fpZYvsFqtcWpugdVajVOVKqeqNU7NzFDxJ80IF8oVFsoVvurgNZGSG+02F+sNXq3XtZTPxgafv3mDrrIx8iVkt6XNbyuzYJikrX1j4EEU8GKnxcv5EsiUePsWstvCLlU5d/o8py88w+rsAieLBVYKeVbyeVYKOVZyHt6Ba17zc9T83F4/KLxj77tWGHG5H3C5N+D1ZotLzTYXt7e5nCZEtquD6aYBSjArAoq2wZrMQVFgzi6S9pskwsLIFRg4Pl4aUoi6tF0fT6TkZUBoOFhpilCKWJhIocvAVTQAFIPCAjOGoGRU6Q6DgcK0dCLANFBhD2GUEIZApSDjGII+hm0jbBfiECUlpp8H00YkEcKykP0+stdC9buIfBGQyCAEwxj6HRg6caAUGBLhehh+gZtBmUDYVGWPGgLHNohaIVcDk61Gh+WZlA/93t/BO06d2buOP//yZ/jnH/mvrAoHwy1jA0siIVJ96s0e76hW+J63vQuA13Y2+Hcvfpq/+ju+G1NoqZnZYReA+RBdAKP33ijZ1qvfhqVTSCl5+b/9NKdyHmdOaz+CD332kzjdBlZw97/1Zz2o9q8j6h1afo2WX2DVBFtJ6p0BYXdA2OtQsgVFWweXu5EOhq8UdFB5N9iXGdrsa0+AMIWTBV3V342g0w3pxYp+sl8hv9GTeKZgPif2zH9vdPY16Q3gVg9O5HWQvhFo096Vgg6y92IIhEIg9irvQwlRImjHSksHKegHWhbHNqHs6LlHSYsoBc/U41OlpXhylqDk6lunZ2i5nu2+Dsp7pqDq6kC9lHpdmz1tqLucFzQixe5gKGkkBL0D4vpxCs1QB/NtAxxTr8uQQyPioVRQkEA7ErimYqS4EqaKKBX43rALYuiVDfo8SoAS2rPBEPoaO4agFSk8cz+I34m1F4Bj6ms86hSpeTDjib3OjlQd9pPo3EORdtHWCQBD6Oue8cVLdAzGwAClMV+AVuYJkJGRkZHxeDEPfPgext0GvuIRr2Wcztj3P35wo1LqF4QQ2+hq/feiuxVG/xxM/0d8v1Ogc8T2cf4Zk10PL93DPhkZGRkZGcdOlgQ4RgwhjpQwidIUUNiGOZEgcC3rkGku6O6BThQSJQmGYZCzbQqOOzHmKImh3V6P52/eoN7vE6UJQgh826bm5zlRLjObL+yNNQyD0zOznJ6Z5Xc8/ezEPLfbbV7d2eZKq831dpvnr1zj+s5vcW1jnXTQ4cyM9hw4M6v9B87NznF2do6FUnly/kqF05UK33z2zMT8N1otXtnY4PLN66z1B6yFCVdv3eCGkGx3J4OystfGLM/sJQ3idoOLr73M1URhVbYxXB8hJSJfwMiVEEryVtXkOS/hVM6nWp5nrlhhuVBkuVBkJl+aeK3KrsM7XYd3Vktwcr+LQCrF9d6AS90+Nwchu702Yjdkp+RhBylbnQad8ixBFNKwK5xyW3hCERgOuXSAKyMMy8REkiSKvAyRCHZEgX4sgQRhuxjFCvGggSVTTEth5IuAAtNCuA4qCJBRBE6MYfswqqTud7SUkWljuL4O7JsWMuhrE99YoKIBwjDBy2nTYNPUUkCGlmYSto1KBSqVIGNQIDwfYVnUzRp1e5HNfB7LdYhFi/Nejv/5G1f5w+99716g/Vazzt97/8/ziZ0tDC9H36uxKBtsqALz0Q7ldEB/EPI3vv/PYwhBmCT8sw/+B966eIavmJ8F4NV2h7dU9P38oFJAoy6ANE0wTYsbu1t7Af9XLz5Pu7XDt3zzH9gb/5GP/xq51iZ3O9p4sLazW8cz6tTyLrWKoCMVThxjS2hIaIQK3xJ7geN+DAhBJ5LUg8l5OzF0Wlp6Z8YX2Ma+/nzO2g8qb/UVOVtr6PumoBntB7zH2RpAwRbsDhSvNyThnKDqGdooONFnKZWWvjENXaGfpIKcpXCHRrZS6QD8zkCfc97WgfDtgWI+p1jOa3key1S6CyHV0kQ1SycNUgXrPWijjZXDBOZyQueYhJZA8lz9XMtXdGLF7kCv5yCDRCc6FLA70M+Nqvp3Yp1sCA3YCRS2ISg72uQ4HXoazAidkLndUwxSQcXV27pjxsCOqfaMjD1TdxYcDOIflPWpBxCnumsiN/RMOMpP4k7kbd0BkCUAvvg5rk6Asr9fKNDu3+ONlpGRkZGR8cbQAZbvYdwi0H/Eaxnn2hHfHxwzh14bwHW06e/KEeNPjo27I0qpLWBr9LN4SMnTjIyMjIyMByVLAjwC1LDkdPwD3jmiEwC0LwAwIe9jmya1A9X2I6SUdOOIJJWYhiDvOFhjxrp36h7oRRGv72xR7/cJEh3w9R2H2Vyek+XKhMTOUqnEUqnE10+ZpxOGXNvd5truDtd2d3j+xnV+7tOf4vLOFs0k5fyTb+eJhSUulEucLxV4olrlfLWCO3YdVstlVstlePLJKesMuV5vcLW+y83dbW7Ud7ja6fHKTo7XOg2CfhdkCpE2q8UwUSgtmZMmCMfhc0GeW+0OtWad8s1bmEhSCU3h0y3M40vBaRVzvlblfK3GE/MLXKiWWfL3uygMIThTyHGmMHotTgBPH1rrVrdDo98l6W6SttZp9Zps99qkoclu2CNNJZW0hzIMbtsztMyC1uFXEmwH081h9XdIZUocxci4i1ksQy4PSQpS6iB/NADbxnBcZBRiFMogBCoK98rGVRqCEAjLASREAcpxMbwSwvYQhgG29j2QMsbA1kkEkSATBVFPJx9yZQxLGw57hTK/Z+UEf/DsSd4+sy9dlaQJ//43f4V//vynCIfrQsFuJCnEMRVRZ2D5lGTE7/td382JGZ1g+cmP/QqXugP+8Td/NaBlgFZy+ro/jCHwXheAqe/jW5vXWH1G+w/8xgsfIXSLvPcrvhXQUkA7L3yIYnPjrvOOgrVBopjzBa4JRStizhAMJLSVDij7lqARKoJUYQ019/uJlsIJjtCPB9joa5PZo4LKsRxK6qBlhKYlAEAHuONU4Vjaj6CfCNxhpf+okj2Rev5ZT9CJoOqAbQkdwB/6C4SpXk+Q6OSDY+qERSOUrBRNZm3YHoi9yviCrfdVw2N4w7d5PWAo5aMwhdbwF0pfi7ytDXm3BvqcTDFZWe8Nr2cnVqSh1u5PpZb9MdCSPbuBwjJ0p0Mq1fB10te9HcFGX9GL9XkmSpG3tIdAa6DlfGq+wDIE7UjRDBW3e9xzEP+oLoF7xTH1a51JAH1pEB9TJ0BxrBOgk3UCZGRkZGQ8XnwG+BohxKpS6sa0AUKIVeCrgI++get6Yez7GXQnwkFGRnmjSrQXgO8E3nXEnKPnP/OQa8vIyMjIyHjDyJIAj4A7ZffHzUpHWHfQPk+VxGBSXsgwDEquN3W8VIowSZBKYRnGoS6DvONwYWjeepAoSbher9MMQ0IEtmlQcRxmfJ+SO9mFUHRd3rp8krcun5w6z7VOl8udLpd2tvnQ2ho//rkXudxsUXQcnpqp8WS1yjMLizxZLnAyn6d8QL4o77g8s7jIM4uLh+aXUrJW3+X1jdtc7g24qkyuRJLXGk1uDkKUYYBUCMdnNzHZNWbIyRBTpSRJwsAtgpQk9S1ebe3C1WtgGJjlWYx8kbxMdeJibo5ny3nOFwucyfss+j41zz20nrzjcqbmcqY2C5yeem2DoEu/s81Wv8/VQcyZIGUrDNhst9hsN9hOE8qlPFcjj0FaxPBzGMUKSilkrAM9ZmkGL+5ipgHS9RlUFxC2pU2AkwDD8yDokyYxBANEoYxwHESxggj6OgHgeag4RsXDKGcCOClgIJXUyQM3hyFTnls5yTcuzvKNJ5d419zMRGA+lZJfu3KZn/3AT3Fx7SpBZRkzN4/h5Ul7HZrSxrMrLKoe1bjJ0vx5vuvLvwGAl6+/yi88/xGeecvXcbasu0Z+bX2D7z6zCjy8IfB4EuFkQXt19XptfuuF/4fzF97OytAf4Dff/9MUNy/ftQtgFKx1DEVhmACIpK56l0M9e9A/O6aWxEmU/kJBDh0gv1usdzyo7Jl632CoY++YQ19n486BZnNoRmywL34KWmppnJHJrmvqIL2t9qWHTAMqlg7ADxItSzSaqxXqLgPH1B0CqdJJhVYIvq07DCwhKNi6o6HsCITQRsidWAfYR8kRx9TnIpWWf+pEig4w6+tuBtvQ17kX66SBQs9jiqF0UaiIpO5gqHgC29LHHCQ6yeGYgstNRaokrinwTUEDiRDagNe3tGzSpYFio69ox/cXxB/xIPuMXgNTcGRCJ+OLi4OdAA8sB+SPyQFlngAZGRkZGY8X/xr47cAvCiG+Uyk1USUvhDiF1t63gZ98oxallLophPgk8B7g6zkgxyOEOAecGv74/PDxPwF/Hfh2IUROKdUfGy+A7x7++AuPcOkZGRkZGRnHSpYEeMQcDPrfb4LAFNMDBUopkmGCYNxo2BhK/0wjSVN6cUQidYJAdxDs7+tYFqdqtb2/gMZpBQHr3Q67g4BBmoBhkjcM5j2XlUp1ItngWBZPVCs8Ua3A6mSSoBEEvFZvcLHR4NM7u/z0yy/z0ssvEPgFVisVTuY8Vktl3lLJcb5SYrkyw1xljtxY0sMwDE7NznFqdo5vPLDOQZJyudfn9V7Aa90+F3sBFzt9LjXbpChwBarfId7dJG1sY7geGAYoRdrcBqVotne5/Ppt2rUy10o+ZhoRRxEdt0LXLnOBPm8tGIjqCnNejvl8gYVShblcjoV8kZqfOxTI9rwCnlegBjw15fqmUtIY9LjZD7kexNwKItZ7A2436my0mgy626T9Onbax5YJcQTdqMauU2ZrIDHLM6g4QvZbpJ02wjQxLBthmrpjwjBRSIQwMAyL1NBRZst1WXZtFl2HC6UCb6uUeHu5yLPFHHnrcPfKjU6Hn3rxFX7q+edpIXmm28ExBQOZIkwTFelkhPBy7AhBHDWpGj3+8Hf9GQzDIEpi/uovv49L7jI//C4tBboThjxR0sH6h+kCGL1/4jTFtSyubN3i7Kru2njhAz/O3KWP8G3f/t8DkMQRH/8P//SuCQDQwdqCrQPTKdrAFmCA1qyf8wGhA/eJ1AFuxmLuBQeut7UEzd0o2rrrIGfrAHGqtJzQyCPANIbzH4FjaDmbINVrClNFkLJnrDtCorX65zzth9wMhqa5Um8coPepuoJU6er7UTLkRkchhKLkCDxLJw8iyd61LFqKiifoJTrIXnS08XGY6osySo6APpderM+5A8RSkSpBlEIrUgTJpNZ+O1K0QshbYJuCiiv2TH0F2vA4TEcGvvvSPEV7v8vCFPq5INFJl4MSTW8UI1NkM+sI/5LgYCeA9YAvfCm3//neGWRyQBkZGRkZjxX/Fvge4HcCrwkhPgRcHG57Ah2At4FfBX7qDV7b30EnIP6KEOLDSqnPAgghysCPASbwC0qpWwBKqc8IIf4r8E3APxZC/HGl1OjD/K+iW8NfAn75DT6PjIyMjIyMByZLAhwzDxP0P2qsUroC1jgw1hbTJYYSmZIqhSWMiQSBZZqUTf/Q+FRKulFEmCa62tiyKDvOxL5lzztUrQ8QJDE3W022uh16YUgiJaZlkc+XmM/nWM3nJ6SQqp7Hly0v8WXLS/uTfNvvohtF3Gh3uNHYZau5y6B5kw9ef5HPNzusN+s4ls3JxVVO+h4XCh5L8yvMzp/idG12okvBt0zeUi7ylnLxwDVR3A5Cbvb6rDXqXFvzud4ocb3V4lqzxVqzTmQ5qDjiZFpnRTQp9tsE+VMkbhHHijglO3SSkLqy+dRuiL2zxUY3wazNa2NeQFgWi2mHslfArZxgtlhkwc9TzpU45TuseA7zuRx5Z/JamobBbL7IbL44Zld8mFSm9MKQftAnikP6cUxHClrCIUxTkki/BlIplGVjWzYGYBkC13Ep2BZ5y6RgmpQdi4pt3zXo/kqrw3+5cpX3f/qTfOTWOkZ1DsMrIhyPnpdyMu8xKJxECSCKIImRpolIUuz8LH/2276fWll32P6Dz3yOX3dP8q3nzvNMVXcB/OZWne9c0ffDgyQARu+j0ftnlJBKhh0UaZrwif/0z5nP+bzty7UU0Cc/+PN0Gtv3NL8EXFMHvLcGk9vakaLkDiVoAGtY2T5iztfB/+3B3cu9ZzytwT+SHUqkDhDP+oKiA0Gq6ESCmiu43T/cVpC32dPP78c6EN6NwTIUrikoOzqQ7hg6GD7vQ8nRkj3aeHeYBBjSi7Vh8W4giFJtmDuqXA8TnZiwx6Rw4mFFfNUFDC1zYwm9XtPQ8j1ae19X65vGvvxQkChmfZBKkCot4zNOP9HJhJKjDYBdc/I6KaUTAFJpaaHdYLJCP5QQh9qjIJH3L93zKIhS/TrN+oJ+Jgn0RU+cPJpOgGnFAxkZGRkZGW8GSiklhPjdwD8E/jg6gP5NY0Ni4P8C/rwa6ee+cWv7BSHEPwb+FPAJIcTHgRbaoHgOeBX4Ewd2+17gY8PHrxFCvICu53r7cN/vGUsMZGRkZGRkPPZkSYBj5n7+Gb/XsUKIIyuWp/kPWIZ55AsrlUSqSQki0zCmBvhHRElMlMSgFI7t4Fj7lYieZXNuZpZzM7NT990JAm632rTDiERJbMOg4rqcyOUou/vBjILj8MzsDM/Mzkydp9Hvcqu5y82t26xt3eKlKy/ywksv8uu3W1iWxZOLyzyxep4n5+c5XyrwZCG3pzGvr4lgJeexkvP4irkaPHH+0DFutVqsbW/Q2LnJVnuHi+0+G7bHrTilGUc0Q5fZsE5OhPTcMvlYcqoEPSMlJsFOAwpJhKFS6jIhCALWtgQpgpbhU3f1uZVat1jsb7NUmWGmXKNYO0GlNEvFz3Mi53HC91jyHHJTDKNNw6Tk5ygd4RfxsPTTlJfbfV5sd3ih0eZDG9vcandI6pvEt66BZWPaLsIrYHg+Tf8Esy7Mm4ptUQAMZBSgum1mcnl+9L/7PSxV9Hn/09eu8CM3W+RzeX7oHc8A0Ipi3l3TyYBIShzDuO+g1vjYdhRSclzCJObckpYXeu0j78Pp3uIr/79/GdPW99zn3v8vKNrcs4Hr8EhMlPgDjVAby87nBFVXV3bnbT2y4Ogg/I2OZOMu1mfjxsMHTWJHAXDPFDRDiW8ZLOZ0R0IqdTDdMXQCIFG6Ur4Xq70gc87SUju+paV2So7AMXSVfTpMNDiGfp6hmS/sdw8otETRtMr1eEogPdQWFtQ8QZTqc0pSnSwoOxBLgSm0R0Az1jJKhtDdAHF6OAEwohPByYJO9jRDdeR1KtiCbqTP/06dFW92EgD0OooOFB19fhlfvCTp5P1qWw9oDDzmCRCnkjBO8ZzsT7mMjIyMjMcDpVQE/EkhxN8EvgFYRf8BfQP49aFJ7pu1tj8thPgI8D+hTX9d4Arwo8APK6XaB8avCSGeQ1f+fzvwu4FdtJTRXzsod5SRkZGRkfG4k/3n+AXO3ToNDo4xhHGknIhUCqXURAcAgGPZE4H/caI0IUx0NM21rEMGyLOex+wRCYZ6ELDT6zEIB1qiyLIpei6LuRw5Z1J7v5orUM0VeMvyYbGier/PpXqd19sdXm81+I3r13m912M7TDhXyPGEa3Iu73My53GmWmGlUGC+VMY0Jtd6olzmRLkM5w8bFbeCATdbTW40d2nW13lxIHkpNtjq7uINGli9JonjEkmJR4oTh8SeQ2y4WGnMyXCbWtrjhlnldVXlRhJhdSzAIgj6sHmLtNtCWB4CSdrvUDYEX1lSPCX64M9ScWwKlkWxUKLg5fAdB9e0KJuAm0dZ/lAaRWAODVhTIFWKREpipehEMZ0woI9BRyp2Y8lGFLM+CLnR63Op2ydJEkhilCEQSQKmqeWGEu1wazgeqBRkyg45XKPMiupyUtbpuR5hKpkt+fzwd/5BTlTnAPiXl67zQy9fBgR/711v51xFB/4/vnGbb17VwXpneN89TFVraXjf3KxvcW7+BAAX//P/yUzB55lv+eMArL/2KXqXP8ZiXmAHd5eDMThaVgdgs68lZpJUoAQ4FgQx3OpCPZDcvksCAPaNhw8Gtkd0IljICeqBTirM+QYlRxCnikRpCSCF1ubfDfaNbUdBZkNAP1ZEjqAV6nOpuroTwDZ1MN+zdLLMMhRKCSKpqIeKcBjAD+6xcr3m6Wr+INVmvUGqJXtCqb98C+ZzYk+uB/SxHQPa4Z2LwoTQyYqN3tHXqeZpvwLHVHfsrLiX1/5R04n1Oma8fVPkjC9ODnoCHPycvVeK/uRncXsQZ0mAjIyMjIzHjmGw/9+92es4iFLqZ4GfvY/x28CfHH5lZGRkZGR8QZP95/hFxP1KER0cYwiho2xTSNIUicI2zIl9HNPCMQ/fRlIpOnHMIEkA8IcSQ+PUPI/alARBkibcamyz1evSCQakaYJnmpRcj7lyjdliGWPMK6GWy/HeXI73HpgnTFMuNVu8urXJ5zc3eGntRV5vX0c1rtHc3SJXmqcwc4JqeZ5KdYG56iKrM3PMzixRLk12NpQ9n7Ln8+zCEvAWfv/Yea71elxqNLjZaVOv32KnvctrsUkvTUiEhRIxTVxmZZeTyRaBu8CWmgMUhp3HtF1kHGNYLtgOSiYIwyJRIbvba3xCQJ0uKhogkwhhOwgMZBxg5opU4jbSL/Jq6Sl6WKhBF0xLmwJbNioaRoRtG5XEyH4Hw/bAcfSjKQCBQKAwUOEAlcQIy0EJ9PfCwJpdRMkUFQy0UayCdNDhpsgTOC4zVkol6fHlp87yZ7/ym5jJa0mmf/XaZf7ii5cQtsu3zZX5A0+cA+DjG5u8e16bVDejiMqB++N+kUpiCAOpFCVPy15tvfZbNK5/ltWv+UP4JZ2Q+PDP/gj1oVb9jKcD6dM6AhSQeAWwTZoiwowDvDFZHalG5rqCRqjY6EuiFLqRwjQECm1Oe7KwX30+7Tgjrf2jAsB5W5v0Fh0oO4LbfdgZKNqhQonJAP3BY4wHmZfzWtKoGepj+pbebydQpFLgmLoi3TF1kH2QKCxD3x6WAaR3r1wvOvpXSD/RsjxlR1ByFZ6pEwOGANNQGOiq/77+9YBvCiI59DI4AtvUskVKKTwLSHQXwUEOSgsd1TFwp9f+jaQeQJzuexZkfHEy7glgDBO1D8K4HBBoSaD58mGZv4yMjIyMjIyMjIyMjIyMcbIkwBcRx+E/ADqYKhCTEkPmdP8BOawyFwLsscp6QwjKjnMo8A8QpymdJCFJEkwBvm2Ts/fHWabFiercXhX5OP0w4MbOBp2gzyCO6WBjWTZV32e5UGLW308quKbJszM1np2pwdNPo72oNGEUsFPfpNm4TbO+Tr9xk82XP8dLu7e5XK8TWR6rJ85QnjmJX1uhOnuKk9UZVss15gr7fgOGEJwqFDhVKAyfeXZivTuDAVuDHhvtFpu9LkF3m1cCwSe6BldbTXpy6KgqdBW5YRoIw0blCliRwowhFlq3X9q27l6wHVQ00BJRMiWKJa45wBASEIhcQT8apo7ICpBBD8MsIYSBsB3SbgPD9VG+0ubBhgGmjVAKLAuSCJQEw0QIE2SM4eWQYYhigHB9VDiANAYvx47h4ZWq/OW3nufbTizunf9PXrzEX/jsRYSbYyHn8w/f9RYAGmHEZ3brfPnign6tHrAqFg7f2y/eXuPty7q74MbH/wO9BM5+2bcD0G1s8cqH3wdMVo134v1AsQKCyiL98gJRoYoyTCyjg4h3kO0m1aCJZw017RU0Qh0wd01BKhW2eX/V5wbgmlrXflSVP6LiQtkVOIZADg16TQH20Ci3Eyqa4Z017usBCKWouPpeMA2t/b8z0Dr/OwN91pbQiQSJli7xLcF8Tl+nSEJhmGTYPVC5PpII8ixtIhymim6kA/xxqpBKsJjXyYx+DO0QUIp4eL6eCYNUEck7m+QWLB24N4T2WohSLT00Mk0eoSWZ7i4tNO21f7PoxHodzvRfsxlfBIwnAR5UCggm5YAA2oNMRyojIyMj4/FCCOED7waW0ZI7U1FKvdHmwBkZGRkZGV/SZEmALxHuR2JlvMr+IAcDroYQhySAxkmkxBBiwvDVNk1qpgnu9L8JB1GIlAmGYeHZzsTxcq7H6bnlqfulUrLW6bITDHQHgqENcJc8ZyJwD+A6HicWT3Fi8bC8EECr12aztUu9ucHm7gavXHuF932mw1q3TUUGLMyfxFx9F6ulEk/kPJ4s+pwrlbAPyiH5PrO+zzO16Z4JzSjmen/Ajd7waxByvd/nervLTi8m7RtYSYByPISwkCqEaABKIWwHFUXYIiW1XNI4BtfHQAwr+FNIUlQYoKIIKVuIfBFhWAjHRZgmCgmGhWFZqDQFFMIwUQhUHCKEj7BtlBAgDIRpYOZKqDTW402blUqVP3L+FH/s/CkKlj7/bpzwlz7zMj99eQ0jnwdh8A/fco6qo0ud/8pnXuFvDX0B6mFI7Yh74V4Y3R+j+7Yz6AEgZcrFj/xHTMfj5Nt0AujiJz6AlPvR8iBR5OyhKe7QVLezcI7u/Bliv4g96GCkMS3Dxy+fxPOrXNvZpNK4hcm+Ia6W3FEYJsj03qvPizZUXMGsJ7AM6CUQJBBLhYEOVEugNdT0T6WWI4rlqCJfHNlhME4vgWaoaEV6vRKwh8mJkcRRonRQveyCmRPkLcEgUXQjvZZRImM3UGz09ivXrWEyZGegSKSiOpQD0ucN/a4iSHVXwMi7wATyFsy4gk6s2B4oHEMcKTVUcaHq6a6CVqANgD1LXz/fErQi7YUA9y4tdPC1fxx4XNaRcfyMywHZd8p23YW8Z0+4k7T7WRIgIyMjI+PxQQjxF4H/DSjcbSyQJQEyMjIyMjLeQLIkwDFzv6amjzv3KzF0cLt1RIW3UopEKS2LcGAf33GZVjQilSKMQ2QagzBxHRdrrPvANAxWigVWiof/5kzThGanQSsYEIZ9lIyxTZuy51Mpz+G4k0a75XyJcr4Ey2cA+I6xbfVOkyuNOi+Ggtf7If9mZ5dbt29Qa15kdvYEleoSC77PvOczny+yWCiw4OdZKBRwD0gnVRybimPz9kpp6nXa6v82dtt1rvYDbrVbrLca3GjssrZ1k7ZhI8MO+ajJmjtDLxEIW6Esk7TfgURHhoVhaIkhaQ6r9yUqSVDCREiJEAaMrKcVCNPG8PLIfhuVxgjLRKFApiglIAkRUvLbV5b53qfO8zuWFyekLX5hfZv//bOvcLsfgG2h0oQ/tLrMNy/qRMjP37jFkmNSHRpDl+wH10AZ3XOJlFiGweWtdd6xtALAldc+xXoqePItX4c9fH1f/fj7Sdwc0jQx0pQk6WMbuhofdAdAd/4M0rTJb1/fM+QOBopOP8EoFyjMzUM6gHYdW0DR01X5YQq2oU14p3Gw+nzGY0+zPkrBtSBnwYIvyNkCe9gdsN6F1FQ4xr6R7rT57sTI1NcYBvoBYnRyoewIys6w2n+YlBgkip2BmgiujycyNnqKjb6uXDfY70RwTCi5hyv6dwbak0B7H+hzTaSWImoMPQyK9nSpobytuyF8C9qhli0qDX0OpIKapeWG4lR3BNyLtBDD62GNvfYZGY+SiU6AOyTO74ZpCIq+TXugf7+PHjMyMjIyMt5shBD/E/B3hj++DFwEOm/eijIyMjIyMjLGyZIAx8wXegLgYYL+R41VSqFgohtACIF9xPhUShKZYgqBNRY0N4TAdzzgsI9AP0loRxGx0gazZcfGGwu0mKbFTGWOmSnHa7e2WF9/jTDsEUiFROA4Pm6+ymxphkp+MkBfK1aoFSu8e+LZ9xDEEWvNXa50e2z0e2x2O7zcanK73WKjtUsYx5wWEbOFEvGJt7NYqrKaczmVy7Ga8zjpe3jmZEhyPpdnPpfn6Snr7sUR2+0mt5s7XA0kNyLYlbAbp2y3FfUgoJmkNPt92r0OomgipIUMexBFJGGAZZpa89+0tCRQmiAwwLYxciUM02LWFsyTsFoq8WylzNtLeb5ycZ6yMxm8/63dJn/vtTV+Y7ehkw1SQhLzPedO8cPP6ar/zSDkJy5d5+e+Vjs4dJOEgvXgv4ZG99wo2dS4/iLn3vPNAHz6+f9Cv7LIyS/7TgCSOOLT6zforjzLXsl+0MDp1kk7uyigX14g9osTCYDhkdhNLKJmj8bsPHP5DtVuHTmsgI+klttJ5b1Vn8+4OoBvCN01kLow4wtOlQQ5EwoOuEPZnpoLvURwo7NvpHtwvrtVs0dHmPq2wpEevQ7OlxxBKmGtc1hmB/YTD1VPdyNIJoPtRx0Hhl0BicI2dCJhe6BY6+6PmWaSmyp9vBlPd0gkSuEI8G1BP9aJAMuEWUuQSNgO1D1JC4HeniqdwMjIeNSMJwGsh+gEAO0LsJcEyDoBMjIyMjIeH34ASIHfp5T6j2/2YjIyMjIyMjImyZIAj4hH1RHwqDsN7mfuOwX9DyYHjpp1mkGxaRiYR3QQSJkODWBNjLExOcsid0QwOU4ioiggVQrLtPAcf2LfUnmeUnl+6r7dQZe1rTUGQZuuNIiECZZH0SuwUixSGguEe7bDhbklLhy2MgBgt99jt7XD1U6PVxKLa70eL2xscj2MWR8ESAQLvsepQpFTxQKreY8zOZcLrsGpnMdMbrLDIW875GfmOT0zz1dMP+QeUZrSjhP6SUI/junHCUGSoEyLVAgUAsMw8EwDzzDxTUHRtph17EOdGuP0koSfu7rGv756k5d6IcLxdFLB9lAy5X975jx//tkn9sb+2U98mn/w3LPkLAup1F4CIJXqgY0ypUwxDBMpJbUZ7UfQ73d45bc+gJX3OfvcNwHw+uUXaeRr2GEPkSYo04SZedb9WZrJJl5ri6hQxR50jrhfBZ3UIuwpmvYic/E6ZtDTVfwmlEs+gTBJYokZ9qfOMao+Lzi6AyBMFbO+oOrC+bJgxteB7WBY3GsKqPlQSLUU0LWWNscdVcHfTzX7Uaa+o+D8fF4nBeqBYnswfY68rb+qrqBgTzckvpt5sGfpzoXmFLmegya5+9I++pwHoV5jydFeAlEKYSLwHVgpCQap4mr7ztJC++sQOoGTSfBkvAHEyXgS4OH6T0o5B+pa9izzBMjIyMjIeIw4C/xGlgDIyMjIyMh4PMmSAMeEkqk2Yh1y5wr6oYHrPQTcH1aO583guAyKp52PYZgYHG1SjFITAX4A23KwrcMGxaBlgpJEB1Esy8E8INdT8AsU/OmSloM05fVOj0YYMpAKTyXMWFD181T8HOYBb4WZXJ6ZXJ4nluCbD8wVS8laf8CV7oBrg5CrQcxnWx3ed3ODa9vblAebLJkpTxUclvN5liqzVIszzJZqLOZLLHgONXf6OQI4psmsaXIHb6575mpvwG/VW/zmxja/dOMGnURLCinTRvU7oCSO4/JP3vUs37WyBEA9CPkjH/4Y33HqBM9WywBc6/U5W8gj1YMnAACklBiGydqNVzh79u0AfPRjH6AVpTyxcpLKjPaQ+OxLn8BvrA+D84qymZIEgpZ3ku78WZRhoQwLI72zvIaRJgSmSx8bJx1KCFXm8CoOhiHopgZ2v43f3cVp70wkA0yhg9meBa6pKDra9PdkXgfNY6mr/4d+zqQSmoEOeM/nBG+fhbXufhJAAL1E3VM1+1GV9iNT3zhRNFA0wun7j0yK85YgkXrfca+Akenx3Y4Tptpc+Cgfg3GT3JypzzFn7XsXAKRKGzG7pp63l+jr2Y91IuEoaaERRQfC9HBnRUbGoyJJ9+81+2GTAP5+8rndz+SAMjIyMjIeG5rAxpu9iIyMjIyMjIzpZEmAY2I8ATBCyZHR6uRlFvdhvHtcAfXHheNMEBwcYwiho6dTkDJBSYlhWhPX3zStQ4H/EWESM4gjUCmm6ZBz3ImqeN80uVDMQzF/aN9+FLLRbdHsthlEAYZMwHJw/BJzpRmWfXfCL8E2DM4W8pwtHJ4rlpLr3T6X2x1u9Htc7fb4YKfHy402twebQwkfgWkY1FyXGddl1oSq61A2BWWhqJiComWR8zxyfp6cKfAMEzH0ZDAMbfzblxBISRDHJGGPbr9Jv9eg0ayz1W3x0iDlVuEEdbsMSoKTR4gY0hiiABEFfNvyHH/pPc9xoVIB4GqrxR/9wPs5W5vhjz55AYDXWm2eKJf2X7cHRCmJZemAWDxM5kgp+W8f/Dm60mTlqa/eG3vls7+G49g4SUDOkAykwU7iEDbrxHOnCQo1kAnSnOZRoHCFwhC69D5KY0SajJkIFyhHmyyqPl3Dpz9zkrhQxXd88jtre4kAz9KeAWUX8rY20O0liqIrMAzYGlbgewb6t7MayeDAcg5OlgRbA+0/YBow4wEDQcFW1O+hov1gpf24qe9I0miaUslIl98Qer2pHBkYTzc9vtNx7sXIGPbljVKlTYSjsUzHIIFBova6IBxzmBgZfv+wiYiMjONm0hj44ZIAxdx+wjfrBMjIyMjIeIz4FeBrhRBCjf5Zy8jIyMjIyHhsyJIAx0QaDTAdf+K5aYmBEUopUPLQmEdZRf+4c1znLpVEHOi0MAxrqmaKUhKZRCgEpmVPJAhcy8a1DgeE41TSjGPCVILQyYCybU0E9XOOy9naPNQmZYaiVLI+CPj4ToN6HNFPQQGOZVGyLBY9h7M5j7y1f1/YhsH5UoHzpcMdCYM05fYgYCOIWO8PWO92uR1GrPdDbjYafDII2axvETW2UOEAc/ksolhDWDa6G8UA00SZ9jB/IiBNODm4zXKwST7t0TN8YgVWGjOb9vAI8J0FbtpzQy0awZyCbzk5x/c9fYFnZ2f31vdb27t8769/GN/J8X987dcC0I1jelE4vP76db3f+3U0fhD0yfkFut0Gp0+/BYAXPvNhdnbWUQjOve23AXBz5zbXlYU5t0IUDNjt9wm6PTqpiUBgDzqkjocZBQTVJZxufa9joGSmlIyEnCkxUPTyCrWzSVTIsTN/emgifIPATIjtkFkxoNlvERXmGNROYEcD3PbOXvV5J1bM5ww8Uwf0a472ABiM6e8HEtzhv06+pQPcUaovtyWgIyFvwm4AUaomAvB3Y7zSftzUF7T0zjQZHd/SHQvaSHjSoBimmxTf6Tj3SpTqZINrCwbB4f8lRworviXoxQqp9t/mx5GIyMg4LiY9AR4uCVAeTwJkngAZGRkZGY8Pfwl4HvhHQoi/oJTK/trKyMjIyMh4jMiSAMfEwQSATGPSsIdSKYZpYzr5w3JB4ghZmzQBFMaBiuQ7afCDmghgf6EnCB4m4WHcV6eFgWkfNhoekcgUEJNV+6bBnHm0rE43jgnSdChjYuGPeRU4psHpQo7ThdzUfYNUshaEbLYi2klKJFNsISiaBguuw6m8P2F47JvmWAdBdeqcUim2BwM2+gGbYcTmIGBzELCtDBpS0YxiGmFEK5H0ZYoXNDkx2AAZsW7NYJompmFgKDCo8bacxVcVcxi5PE8vnOBdszVW8pPnsxuE/ONXLvL/f/0ST1cq/POvei81T1/nT25v8/XLy8PrLyYe78bo9RuNzw2lmjZuX+X8hXcC8Gu/9u9RQDR/jidOngPg/3n9Na7IEhgGcTlP7Ef4xga5oTyQkcZI08bt1km9AkF5Aa+1wbwVM2vF+IakLw0GhRncsMtsuE1rtkY3Z9Pb2kAgaKcmjnCYsyLmrYR+f5NueQmzVKEa7RINq8+7e/8O6aC2IXTg+mB8PEHLAZmGlgNKABstJVRGEEmtq98KDwfg74VpAflpev62qY8ZDgPqYcpUGZ2jTIofVnO/GymiYbfBbqCTICM5pETpLoVI6k6Gg0a/x5GIyMg4DsaTALZ1jHJAgyy+kpGRkZHx2PDHgA8AfxL4diHErwNrMFW5Uiml/uYbubiMjIyMjIwvdbIkwDERD9rYfmnvZ8O0MXKVqWOTqE8a9bR+veVhecXJIPYR8jRKSZTU0i9iLEGg971TgoAvuA6CRyWDdL/nbt2hmyORck9OZ5yCbVOwp0nKQJimDNIUicA1jImKfwDPNLiQ97mQ96fuvxGErLd7tOKYKFUIJbEFFB2beddh0fdwzMk5DSFYyOVYyE1PPBwnNztd/s3V6/zr164QNLf4nqef5q99+ZfhDtf0m1v7CYAoTXFM877uufFxaRJhWg5pmuxJOm1v3+LS5c/Rz9U49dw37hlMv/D6yyThMKo9CFD5GoPqElYc4HbrSNNGyIRcYx1DpnTnz2DNL1FOtiG1WBcesVvADnsY9S2a3QHMFFhOdtkyU9qpBQh2EotICYpGQt6UeHGP0C+xKT3CXp9OrAP6YaoIEh24D6QOTPtjb3vb0AmAMNXv7L6EsqslcaIUGqFikKg9jfyjAvD3yzQZHcuA0rCSvhtDK1LEUpshS7XfEXA/JsX3w24IG33Fhar2IxDo9MnosR0rNvsKUwj68XSj3yzwn/Fmk0x0AjzcZ2wp6wTIyMjIyHg8+SH2/0w7DfyRKWPG/4zLkgAZGRkZGRlvIFkS4Jiw3AKD1hZRr46MAxAC0/ZxClW84tzkWCeH5UwPyMo0RsYhoDBsF8Pc/2dfCANhHm3+qmQKQjxUR8DjkAC4G8eVxLifZEKq1KFgv2VMD3dKpYikRMBe8HuEa5qHnhvRihM6SUqiFI5hULFNcgfGLnoui970LoT1/oBPbW1xK4hopNCXCoTANU3KhmDBc1jwHOZdl1nPfSgt/hGbgwHP11u80GjxwuYmn9zeRgqLatzj737NV/O7n3wS0AmTn75yle8+fQrQMkb+8Nwe9J4bJcuef+kjPPfsVwDwuYsv0MvX2Fl4mm9bPQ9AmqZ8ev323n8cAnB6dYLKImG+it2tE/tFCptXsIOu/gq71Oaq+EWPbeGBlOR2b+6Z/ca5Ii1c5uWAopHQTs292dupRTs1cRNFajgkpkMhsnGHAXuJDqZbQuEMzW17MZQ88CUopRMAkdRyN0KBYej/lNY6ikttRXwgqH2cAfh6AKAo2lDzIGcLSo42A/ZNWPAFyoNQ6iTAqDPANkAJvY5DbQ0PST9RxKkYSirp5xT6WgEUbGiGmdFvxuNLfIyeACV//++AIE6JkhTHOjphnZGRkZGR8QbxNxi1umZkZGRkZGQ8dmRJgGNCGAZ+eR6/PD91e9irE7S3ScMeoOWD3HwNr7wwMc4w7UMyQCOUTEnjAUJJhOVhWJMJgTt6EBxDguALgePoCph27gcTAONj5YHthhATkj3jJFISK4VA4B0IBJVti7I9/S3ZjBN6SUKqFJYwKNomRWty7HLOZzk3vYMgTCWbYcjtfsDHOrtsDEJaqWKQSkIEKQIpU1wVcVq1sU0HTIdUKVKlkElMLBNaYUSr3yFqbtIZtPko83S8CsowOe/bfN+Fc3zj8iLvWZjfS5LsDAb8w09/ij/1jnfiWxZSKVIptRfBQ9xno3u5/uIHsd/+dQB87rXPIg0bO+jwnsVFAF67/jpht4HKV3F6jb1EgBn2ifwivblTOIMOudbmXj9NubPJktpCtXzKysJIU8ywv7fdSFOQkr5pkzdD3EQRqvHzEIRKEBo+Ik30+CFRCv0YcpagHSnytmBjoCh5grylq/FjqSVvlNJyPAUHGiFc6xxOAIA2vD0ohfMgFG1tWJyzoepCxRG62j5U5BxB3gHfUvRjvfYghQVX3/OuJdjoKaIcFGKOTXe/aINrCnYCRTOEnAPJ0CxZAWUHQLDZk3RiMumfjMeSJN2PiTx8EmDyb4R2P2a2lCUBMjIyMjLeXJRSP/RmryEjIyMjIyPjaLIkwDHx/C/8MKW5VYpzqxRnT5GrLCDGKsXdfA03Xzu0XxJ06TfWifoN0jgABJbj4+Qq+JUlLG/fDFYYJpZ72BwWIAl7yCQABYbtHhp3VIJASYlSCUKYhz0LjkApCQeMd48e++CV+W8W95tIuFPo5eA5WYZxxzddLBWGOJx0qNgWlSMSBKlUdNOEUCoMIG+Ze1X2I1zTYDXns5rzOco7AHSyoBMNaIcBzThhkCQEScIgjohkyopSmHIGf3kZ27L5/uIs84Uii74/tcPh01ub/NqNG/z5d72bGU8nKLpxTMnRCaz7NQVWMkUYJmkcYNoety9+jIWyPh8pJc0P/RsW4wRzKWV1/gQAr1/8LLnGbfrVJYLyIlbUQ6QpqeOTuHm8zg6Frat4zY294xjowHoSDHCmBd3DPna/TTCzSGHQwRDqUN2Tgr0OAyvoTmwbae+bBmwPdHA7TBVnSgYFGyxLdwNgQM5ShLHgtYZkrTN5DFv7MlNwhgH4sbXebzB8xtPeAq4pMFDkLZ0ASJXAtrTcUCxhsy/wLfBMgSkUliGY9RWDRN+LBtpcuOhoaSHdWXA0d1tn3tZrWu8qcpYin+juiZEvwO2ensM2BYs5bQI8Sor0HyAZkSURMh4Fx2kMPC4HBNAeRMyWjva2ycjIyMjIyMjIyMjIyMjIkgDHRKG2THPjMmsv/jqdrWv0mhsYlkNl8TzVk09SXX6CyvKTVJcvYI8F9i2vQGnpialzxoMOrfXPE/YaqCRCmCa2V8IrzeOVJpMMlpsHNz91niTsIpNIm+A6uYkOAmEYCKZLDCkpQaVgmAc6CO7HePfRaPt/oXC/3Ra2cfT4RCokCltMJmBMQ1A2pnePgA7sd5OESCoQ4BqComVhT5Ezck0D188z60+/l+6Fm90uH11f55X6Lt+0eooffPd79ra1opCyMylndD+JgFGiamTmfOMz/4XT7/pdAGxc/izsXMdzC8yXqzjD41zfvIU1aOMDieOT+EWkqTX8/eZtqmsvUdy8MuGqIdFB5KOkuwXgd3eRxQJBvkYaDia2KyCoLGIf6DAYMU17//UGhIlkOS8o2IJEQTeCZguiVLLR398/Z42C47pLQEo9tji8DUbV/PcSDHdMrfk/nxOkCuqBYs4XCAH1UJ9N3gbHUAwSQdHWwfGaB4YhSCTsDPQZRlLQTxT9oZHvjCeI0+nHHe86OGqdjqmD+kGiMyz9REsDjZIfI0+CxRycLAjaEXQiRSL1nPeTjLiX9WRkPCiPSg4IMl+AjIyMjIzHDyFEBXg3MAdcV0p99M1dUUZGRkZGRkaWBDgmnvza7zn0XBqHdOu36Oys0dm+weWP/Tz1m68S9Vs4+TKVpfNUli5QXjpPeeEshdqJicC+7Rcp+09PPZ6SkqC9QzxoIdMIpRSW4+MWZ7G94sRYyy3AdBl5ZJqg0giEwLDcyWC/YXCUyrhSCpQ81GHwpR70P4r78V9QSpEC1iEPgqMNoMNUywxZ4rDMkGsauEd4SSRSsRPF1OOYfipJFTgqIa9ibNNAGDa2YeCaJo5pIqUEmaJQDCTcDmM2g5DtXpdut8lmEOH7eZ4tl/jBd7+bnKWj0u0ooh6GnC7qezOWciIJcT9dJVGvgZPX1f/rn/8I7/muvwTAtRc/DIATdlmq7Hc7XIyhtfwkyjCHFfwtnPY2YW2Z0s3PH0oAwL5kz6yvg9rTcNo7+Hmba4VV+rMncYMuKk0YGC6xX8IedA51GIxTDyBOdYA9NzTeXevCxYbCNiRRqgPc9VAH3EcJA8dQFGyBZwEIglTRjRWeJXiiqhMQUaoTC3cKho8Hved8Qc0VbA8UrqlwTe1JAHpdUgkGCYSJfq7gaBkex4QN7XHOIFV4lpYvilPoRLqzIG9D54BW/3jXwZ3WudeRcUDnKB77OWdBwRZYhvYFCMeq9+8lGXE/68nIeFCSY0wCFA/KAQ2yLFVGRkZGxuPBMPj/I8DvZz/W8JPAR4fbvw/tHfB7lFIffxOWmJGRkZGR8SVLlgQ4Jjr1TYq1SX1/03YpL5ylvHD20Piw16KxfpHm+mvc/NwHeen2j9HduQlCUJxbpTR/htLCaUrz+qs4s4Jh7f/jLwwDrzSLV5o9NHeaRAStDaJegzQOEYaB5eZxi7OHTIoN0wJz+m0g4wCZhCAMTNtHjI0TQoA4QmJISV2abJgP3BVwJx4X2aD74X6TI3d6Y0qlDpn6uqZxVJ5nz6hYAY5hTEgNWYZg0XNY9I42nB7NMUgiFDrZECpFiMmS73O2kMednyVnT+9GuNhsUnGcvQRAciABcDdG12d0jYLODk6+Snf3Jrab33tfXHvxN/f2mVs6s/f95W6PsDhL4uVJbR8zHmANupQ2Lk2t0h8xkuwpOjqgfZCSA27zNsuDkGphF5UrklgW/TRisLNBUt/Bax49P+iOgE6s7ipBM0oYzOdgpjAMeEe6Qn6QKHqxlg2azwkEcKOj6Cf7+x8MhjvmftDbNRSzvpb4KTiQKu1CvBMoBuh1GQKCBHybPU+CQOqvfrIvx2MZiu2xjoUg0TJCjrl/XtpwWGAI3XUwzsF1hvLOHRmgExmepa/HNE+EOyUj7nc9WUdAxoMSJ+NyQA/3+WWZBnnXojfMyrUHWSdARkZGRsabjxCiAHwYeAuwCXwK+NYDw34J+DHg9wBZEiAjIyMjI+MNJEsCHBM//AfPYLs+lflTVJfOUJlfpTy/QmV+lcrCKWrL58gV9z0B3HyZxQvvZfHCeyfmkUlMe/s6rc0rtDevcOOFX6W1eYXOzk1UmpCvLVOaP0VhZoXi3AqFmRVKC2co1Jb35jAth/zMKvmZ1UPrDLu7DJq3ifst0jRCIDAdHydfJVdbwXL2jWUN28OwD+sMK5mShl1UEiIEGHYOY8yDQAhDi51PQckEJSXCtO7DpFh+URsa3+96DyYAxpl2/ncyKh4RS4mAPTPfacfM2y7YR6UaJgnSlN0wpGhZPFmp7D0vlTryGEcxfj5pHJKr6nv95ksforay3ymz/vqnAeiWFrEL+++127kZEi/FiAJIYwalOYzCDHavSeLmUUzvr5gm2TMKSHuWwDUVCqgEDdxuncjxMSyTE6TEgwH1QFG/x3O8F+35Tgz5GNqRrniXMGESnLeF9hFAB/R7BwLeo2D4Qg79vhX69cg7enyYaDmfogMVVyeIpNLmv1Lpinvfho7Sc3mm9i0YSP1YcSFvCXxzvxo/VbqTYPwVH2n8Hwy4H1xn3oZOX92xI8M2wDX1OQfJdNNkmJ6MeKD1TEkiZByNEOLbgVQp9ctv9lrebCY6AayHN/Et5Zz9JEAmB5SRkZGR8Xjwg+gEwE8CP6CUGgghJmo0lFKbQohXgN/2JqwvIyMjIyPjS5osCXCMxOGA7bVX2V57der2QnWR+dPPML/6NHMrTzG3+hSzK0+SL+9X8xuWPZQJOn9ofyWllhfavkFn+zrtrevceuU36G6vMejWcXJFqksXqJ54ivJwjuLcKYwxyR63MINbmJm+/kGb9u014qCDkjGWaeP4JZzSApZf2hsnDBPLLx95HdKoj0pjMExMJ3dAYsjiKEsBqSQoNbFeeHQeBF8M3K/EklQKMWXc3SrzpVKEaUqsFKlUw9dKIpVCoZBKB0dd06LkuHimyYlcbm//XpLgGsZ9JwBGjAyBm7deYub0uwBYf+U3WX76qwHod+p06rdRQLe4gOkPuw7SFLpNDNsmdfNI08YK+0jDIijPsXvmOaywR+4+JHtSBYNEGziHqdag1wcbkAIteCTV4yN9/E60H2QfaeObgj0JH6UmZXnGCRJF1RPEUicJap7uHOhEeo5Y6nN2DEXegVIsSENFmCoW8oAS9BJAgSUgVEMDY/SjVKMqZ31NRtr68sA5BEdILI2vcxS0v1NHhjZFhiDVHRG2Ce7wFgvl/vlPS0Y86Hoys+D74ofQFX+/DCCEeAfwU4AJ/FOl1D9/01b2BjNhDHwH75d7peQ73G7otptMDigjIyMj4zHh9wK3gD+hlLpThvo14CvemCVlZGRkZGRkjMiSAMfE6bd+Dds3XqXX2j5yTLexQbexwZUXPjjxfK40y8zJ88ycuMDsiQvMnLhAbfkstaVzON5+IFUYBsXZFYqzK/D0Vx2aX8qUzvZ1GrcuUr/xMpc//j7aW1dRaUpldpn86lsoLj9Jaf4MldoJ8mOdCQC2X8IeC/YfJO43ibs7EA9ACEy3gFWcx3RyE+MO/jyOUhKVhPp8DngQGMI4SvJ+b9+DCYEvNQ+Ch0163KmLQCpFqhSmEIfGGULgWxb+EfsexSBJMIC8ZR25pnth5D0R9Dt7z936/G/y7Dd9HwBb118BIHIL9HMVvFEgOIlxOzsE5XmMNMYadDCTkMQtEPslmiefwQr6eJ95PwJIvALStDDSBCvo6gD5FMmemivwLbGfADjAo6geH9fHHzcGHiUBSo6gG2sJHXNKwBvAMPS+2wOFbwkcQ9CKdEKj5EAwDHD3Ey2PU3H097HUhtTBsOrftxjKDek+Ct/SwfFBMpmA8CzBzkDtBc6P0vg/yHjQ/k4dGQVHICWkUm8vuQJ/mEMcpNAKFfVAodRkMmLaNb3X9WTcF+eZbPX/h4CNTgz8sBBiSyn182/Kyt5gjtMYGKCU25dfyzoBMjIyMjIeE84AH7hLAgAgAKZXpWVkZGRkZGQ8Mr7kkgBCCAv4M8B/jw5QDIBPAH9PKfXhB533j/z9XwWg19phe+1Vdm++zu6t19m5+To7N1+juXmNNJlerddv79B/ZYe1VyZlEYUQFGpLzCyfo7J4mtriGS0ttHSW8vwqpZmlifGGYe55EJx+5++c2Natr9Oo32KrvsH6ix+ivXONsLtD3ynhFxeZ9fMsF0uU5k5RnD9NceYk5gHpFztXwc5VDq0/CXuErduk/SYyjZGGhekMPQhK8wfOyUDY00PJaTRAJiFCCAzbx7CcQ/tOQ0mJUrpS/FHIBj1OHQT3s467jT14XsaU4P80pFJIBaC7Cg6GuMfn8a39XzHHcR2DnP5/YXt3nc87s3zX0G9jZ+01QrdAP1cjcguYQ5+AOE2JCzMYCpwx/X+hwDJMhExoL13A674XIw6JClWUYSFkgtNtkGtt4jU3EOxXgL9Z1eMSHYyuuuCYYq/yP5W6I0AfS9CLFe14uj6+LRh2goBnQZjqcxgkCs/UwfxBor9GsuUznmKQ6qC6VLCQ09vbkTYjnvO0RFEn1sH+UQKi6Oj5x2WJRudwN0n0gx0ER3VkbPQUBnCqJLCEQKG7MwRQsnVipORAN4arLXXodXjQ9WTcMwn6H32EEEvA1wHfqJT6kBCiDvwF4IGTAMf1eS6EeAb4fuBdwGl0YCIFrqC7GH5YKbXzoOsESNL994FtHUMSwN//fMw8ATIyMjIyHhMC4OhqsH1OoZtnMzIyMjIyMt5AvqSSAEIIG3g/8I3ALvqf+xngm4FvFkL8EaXUTz3MMfLlWfLlr+b0W7564nmZprS216jfvkx9/QqNjas0Nq7R2LxOc+Mag27j0FxKKTq763R21+HF3zi03bLdoe/AKe09sHia2ZNPMH/qaapLZzHHjHwLtWUKtWVWDsyRJjGt5gZb9Q16t16j/eKv096+Tnv7OmkU4Bdr1OZXKc+tMLN0luLyU+QWn8Ty9j0ALDePNX9Yvggg7NYZtDaI+w1krD0ELLeAW1rAr57QxsRDTMfHdA4nCJSSxFGfNIkRQmA7Pqa1n6AQhoE4okZXyVRLydyXB8EXXwfBNO43STBCB/nhjm0bU+Y4ONfdkgKj7d2gR8HL0+y1qJR1UunWxg22q6fx8hUA1rG5ufouIqdAo3aKvqvlgAzDIHVcnG59YrXKMECl2J1d+nOn2Tn7HvzmOs6gg5HGSNOmu3CWsDRHwc1T3Ly8t/+bVT0eDYPbszmDXqxojcX9IglWoJjLaYPeTjxdH98xBd2hnI8p9qV8glQH8Yu2oGjrJEGY6sBlwYE0hUagiOX+OoIUcqnCNQWp0tX5rqn3rbi6K2E3mJRDilLuqPE/4mAHAUzvyHANfb6uKYgVNIKxSRLdsTDrC0yhOJyuerj1ZNwTLwJfC/w68PuBulLqQ8NtHwf+4oNOfMyf518J/Em0hMFFtJlhBXgP8L8Cf1gI8XVKqdcedL3jngDWsXQCjCUB+pkcUEZGRkbGY8ErwLuEEAWlVHfaACHEPPAO4KNv5MIyMjIyMjIyjiEJIITwlVKD41jMG8BfQAcMXgB+u1KqASCE+EbgA8D/LYT4kFLqxv1O/I/+7LezfOZplk4/yfKZp1lYuUCxMqb1b5pUF09TXTzNued++6H9g36b1tYNmps3aG7doLW9RmtrjcbGNbZvfJ4o6B3aJ4lDdm9dYvfWpUPbTMth5sR5zp57iuozX4lz4lkWqwvMLKziurmxcTa12RVqsyvwxHsOr6tbp7N9g2Zzk3p3m6uv/CbbH/vPDAZdfBmxWJ5hbvYkxYVzFBfOkZs5ObG/W6jhjpm0jiOTiKBxk3TQJk1jhGFhuXmcwiymN2k07LgFOMKTViYxKg1BCAzLR4zpzgvD3JOSmbqvklqGaIwvNV+BoziO8xyfY/za3ek6jrbtbTf0r6nXdzZ41+oFAG5vr6HyMxjD1/pqcZn67Fn83i5WHBBYOplkGiZmFE4mAIDU9nA7u0g3h7QcYq9AtbWFHe3/KnO6dYLyAt35M9hhD3/oG/Aoq8fHA9zTAs4CEGp6sDpIIZGCnDk9PVN0oBvrLo6SI0gVjEuTd2NIpJYJqnmKgYQggZ0QbnYkrqnleDb7as+LQCqwDbUnTVT0BI1AcbunOwCm+SHcSeN/tM6DHQTjjF+XmqsljdrDeQqOIk4FcnhupqF/3r96h+d82PVk3JG/C7xv6AXwjcCPj22b5eGaK47z8/zXgCcPBvmFELnhmn8/8E/QCYYH4tjlgPwxOaCsEyAjIyMj4/HgZ4B/DPwzIcQfVUolU8b8COAD/+aNXFhGRkZGRkbG8XQC3BJC/CTwY0qp6Y64jwFD2YD/ZfjjD4wCBgBKqV8TQvxL4E8Afxr4c/c7/4sf/1Ve/PivTjyXL9VYPPUEiysXmD95jvmT51gYPuaKlYmxXq6Ed/otLJx+y9T5dTLgVbZuvMLW9c+zs3aRnZuvEfbbU8enSURj7RWutq/yyfWrdIWLH+iuy1JlntrcKjNzK9TmV5ifX6E0t0qltoznTXZweoUaXqHG3LRjpAn13Vu0119l5/WPc+XDP0Wwex0DSEsnyc+foTSUJyrNnyJfXZ4I0BuWg1c9CdXp1zTsNekN2qRhHyEEluPj56u4Q9PX/XlssOypcyglUXEASiJsD2FM3vIHEwDjSCURiC+JroB74WETIEKIiQD/6Ps7dV6kUlJwdPbnRj/kPcPX64XEoXH6y/bG1VPoFuZRwsCO+pj9JgCWaZLYDlakk2gKSPwSZhxiBR36s6sImeL06nDQkBrwWpv05k7RLy9MyAIdd/V40dYa/zl7P3nQj5kIpDumjphuB7r6vuwIwlTtBbx1MFwRmNost+zqIL4p9FrCVFfmx6kePzv0BEiU2ks8BKkOnG/2deW/bQo2eoqNPhRtXYV/MFgeS+gnipoHva5io6vYDffXfDCpcSeN//F13s1Q2TH1OQoB9UAhhubInqnnkgraIQgUUuqx9fBwcuW41pNxGKXUrwghfifwPcC/BP7K2ObfhjYGvG+O+/NcKXXtiOf7QogfRCcBvkEIYSilHihxET/SToAsCZCRkZGR8VjwY+jP/D8IvEcI8UvD558WQvx14HcDbwF+gywJkJGRkZGR8YZzHEmAPPof7T8lhPgQ8KPA+47I/L+ZfCVaKuCaUurjU7b/O3TQ4Dt4gCTANHrtOpdf/DiXXzx8uFyxwuzSaeaWTzN34iwzi6sTX7lCeWL8qIvgifd+y8TznfoGOzdfY/fWJerrl9hdv0x9/TL121cwkgAMi0RYmHL/5Wg3t2g3t7j2+qcAcEWCYXvcpMRS6zbz5RkqC6eoLJwif/JpCitPMVubZ64ygz0m12OaFnPzp5ibPwXv2C+QVFLS3b1Ja+Myrc0rXHv+l2ltXKG7ewuFolBbpjR/iuLsKoXZFcpzqxTmVvGK+50TAG6+gjuUexknjgYE7U3CQQcj6WMjMSwP0y9jlxYwnfzeWCEMxBFGxWkckMQhKIlp2ZhO/oBG/tGBmlimCLSu/L2ghtXbX4g+BCMeZj0Hq/sPygSNfpZKYQhBIlMsw+Rmu86pYUdNL9zvKr4cSfyxMvYOJonj0xOz5Lo7iFhHoQ0hGFSWMMMBwjBJbRczDnG6u6RODiUE9qCFIVOEPBytF4A96BAVqiReATvQazjO6vEZT5sIu6YOQCdSB6BnfUHR0QHqerAvQ9QIwDIUvqV1/c2hPn4jVAwShWNow1yl9rXzdwaTlfl2oIP28/7wGiUgDFBS0Y5gc6CTC1G8fw73Giyvh3dPahyl8X9wnXfCAKzhLSDVyJhYX5tR4iGR4Bg6MXAnaabjWE/GdIbyPx+asskC/v0DTvtGfp6PPjwjprWS3OskE50AD/+7fdwToBcmJKk8luRCRkZGRkbGg6KUiofJ/38B/F7gyeGmLxt+Afwn4A8/aFI9IyMjIyMj48E5jiTASeD7gD8OfD26um9LCPHjwL94EGmdR8Rzw8fnj9g+ev6cEKKolOo8ysUk/SZblz/DxuXPTK0U9vMlaosrLK4+wclzb2H5zNMsn36ahdULWGNV78XaIsXaImfe9rWH5mjvrtPdvs5Wu8FWY4vu5lWau+s06+t0mttImZATkpoRgWWi0i7l8DbB9StcufxJeglsnHg79ZkzVBrXWDJDTlbyUF5ldvEM80vnmF86x+yJJ5ipLewdVxgGxblVinOrnHzr10+saZQgaG9fp7N9nfraK1z/9K/Q2b5G1N3FNC1mls4yt/IUpaUncE68hcrCORzH25vDdnzs2dNM9gNoZDwg2L5E0qsjkwiEwHF9rPwsZmkJYe5fO9P2MG1vyiyQJBFREiOUxLQcnIMmyXcI/qfDBIExNuZ+9fe/2CSJDgb/D65/9LOx96iDWa1wX54njvcjsXF7C6uwnzRS0QBpWkhp0c/PIlMdmbcNA2k5hOU5rKCLHXQxY50cEyrFHnbS2IMOZjRd1WzkESDH/CuOq3q8aOsEgDGsZh+nn+hEw4wniFNFKPdliHrDgLo9Vmk/8gBQFgwGiq2+TihMkxYS6IB5J9YJi5yt/QFSQycWKq7uYjh4DvcSLL/XpMY0jf/70dyXwKgRY1zW6KBXg2no8x1di6N42PV8KSGE+BTwSeDT6M/OF5VS95UqUUp9/0Ms4Q35PB/6DvyN4Y8fUOoILa57IE6OWQ4oN9n91h5E1ArTP88yMjIyMjLeKJRSLeC7hRDPAN8CnAVMYA34FaXUp9/M9WVkZGRkZHwp89BJAKXUNvB3hRB/D/idwP84fPzLwF8UQrwf+FGl1Ace9lgPyanh49q0jUqpjhCiDZSGY196FIu4F9kPgEGvza3LL3Pr8ss8/+vv23veNC0WVs5rmaFTT7I0/JpfOU+hNKm9X5pZpjSzzPKUdUiZ0m1u0W+uEzdvcatZZ/3yi6QqINy8RC5JkeTp58q4YQeBoKssmu02ZudF1m+8wkh5fOCVcUyT56yI2vwpnIWnKC2dZ+bEBWZOnMfN7YfrxxME8DWH1pUmEb3dW/TrN4nqa9Q/+R94ZfsW9TRF5GvMzJygNLtKuXqC6swy5dryhOa/Yft4c+eZql8EJEGHpNeAZIBQEiwXwy9j52cmxlmWg2U50ycBkiQmVRLTMLHMybeReYcEgY4hqQmTYvjiNSo+au1BmuANr9uo6j9IUzxTX7tRMiBJdRQ2ShIic//1qMcpC2PSUlJJnEGH2MsjpCIck32qblyBqIs96OxV/NuDDkY0oL38BIZUuL3GkTbH0rQRMsFIJ5ub7hQQ78aKhplH5m2MNMEKulPn11r64lACYEQn0gH1vA2dvjokQzTN/HckQ9Q9IiQ7SjyEKXxuR1FxFDlb4Fq6ot4z9WMn0sH6Q2u6Q7D8fpIao993dwu0HxWUj1JohbqbwTUFQTr9GjqGPp/WFCmgaWSB/3vincOv0UWPhBAvoYPvo6/PPcKOwEfyeS6EWEL7GIDuNHg3sAh8AvifH3SxSikSuX9/HkfFfi0/mZje7YRZEiAjIyMj47FBKfUK2ig4IyMjIyMj4zHhODoBABhWyL0feL8QYgXdiv+9wLcB/50Q4jpaJ/AnhomDN5qR0+xhh919uuigwbQicwCEEPMcGWK+M/daIXsn0jRh/dqrrF87bL+QL1VZOHme+ZXzzJ04w4mVsyytnKO2fJZ8dXFirGGYlGpLlGpLwLtYAfiG4THikNb6a9RvX+GtrTbX19fYuXmRrc0b1FNJzYypmjGhNEkBWwXYUrC5donrr3yS1gF5lEJ1kdryWWpL+qu6dIbq4hmqC6coVBcmxpqWQ2nhDKWFM3vPPTV8TKIB7c0r1G9fYuelD3Jl4wrd7cusOjEnFhZxZk8jamcxZ05j105j11YxxqSBACyviOVNf3njQZuwu0sa9wkxSew8OcejmC9jHkgIWJZ95JsniUOkjBHCxLLdiYC/DoIfbYirlNQSRo+oK+CN7iI4eKxRoH+UAAjTBHf4fSuO8UyTZhhScXWAyx0G+re6LfKefi1TpRhEIeb4dYxDTBkjk4jUcojU/raZncsk7V1Sv4gV9jHiECFTYr+I02uBaWJ361PXr4DYL1LYvIIVdA9tPxgQT4F2cYH+3CJRoYoyLIRMcLoNcq3NPV8B0MHtnA3BHXwFQG/P2Xr8ccgQHUw8NCNoRpNdBUV7dJ8ePc+0YPl9JTXuIpV0LwnTXqxoRTDnQ97WHRKT69GdAI1BZux7zDwBvGvs651j3x+VGPgUumPgOBIDx/J5PoUy8IcPPPfrwPcppTbutvNRfx+M+wHA8XQCzJQmA/67nYALS+UjRmdkZGRkZGRkZGRkZGR8qXNsSYBxlFJrwF8RQvwQ8LeBv4Cuxvs7wA8JIX4G+OtKqeuP4viPmB8A/tr97vQgFbL3S6/d4Morn+TKK5+cSDjYpsKbP0n5zNPk5k7jFeepVuep1BaxaiuUKkuUqwsYw4CrabvUTr2V2qm3cv7AMXbrG+xu3aC5fYPuzhrN7RtstBvc2t4gGkiSKYHJbmODbmODGy9/9NA2281RWThFdfE05bkVKvMrlOdXqcyvUlk4TXFMZshyfGorz1JbeRbe+x0T88TNdeLdK6S7V4mufZLuJ/89Sf0aKuyQuGWs2mnC0gpOdYXS3Ap27RTuzCmsMY8D2y9h+6VDa1RK0uns0hp0GcQRVtTFEgLPdsh5BfzKEsaYzJBlu4B7aB4pJUESEaYptkpwTBvH3fcr0DI507sIpJQkSmIgsMx7kxma5kNwv7JE94NSaixkrACxV9E/YlTpH6YJO4MuJwoVAG62dzlZ0t0YnWhAxXXpBl0qng503ep1yNs6EdONIuyojzsWSxTRQEswyZTE9vY6CACqG5dg4wqD8sJEYL64eYWyukS/vEBYXsBrbU6kZxQQVBaxBx1yB7YdJEr1+M7CObrzZ4j9ou42GEoJdRfOEpbmKLh5ipuX9VrRwe2D8jUHSdW+nv3DyhDdKfEw3lUQiP3Ew71Wxj9IUuOoue9HUuhmV2EZMOcJ8pZgkCht6mwBQrA7kNzsZrr+x4lS6hJwiTFNfyHEOe4tMfCiUuq9b+yK7w2l1KuAEPqX4Am0vOHfBl4UQnyPUuoX7zLF1L8PkgNdKrb18EmAvGvjOyaD4Ztop3OXCoKMjIyMjIxHjBBi9X7GP0aywRkZGRkZGV8SPJIkgBDCB34/8P3oAADALbQ54LcB/wPwe4UQ36qU+o1HsYYpjMp483cYM6ouvJN+8D8Dfm7s53uSGTjOCtm7MS3hkLt5k0ani1G8SClnUzZTNmOH9Y4kbTfIRwMWTj3NwulnWTjzLHOrTzF/6ikqC6cm5p6pLTJTW4SnDsdweq1tGhvXaW5eo7Fxjdb2TZpbN2htr9HavEE4OHxZ47DP9o3Ps33j81PPxS9UmVt9irnVp5lbeZLZlaeYW32Syvzk35h2ZRm7sgznvvrQHGnQJtq5RnfnBkF9jZ0rv0X9c79Kt7Org7T5BfyFC/gnnmGmdoK5yhxerrK3vxAGxeIMxeLMobkB4l6DQWeLJOgQYZA4BWyvSDFfxh0L8huGQc7xmG5TDGk8IE1iEAam40/IChmGgXOkran2ITDuo4MApgf8HyZJIIQYC5RPH7MZBHyu2cBWCV+7eBKAZtDnZq+7lwQoOTrYf33rBueXzgGw1WnhDF+TXpKQmjaMJV5ErANg0jBJDRvC/QLh0qBJ0tzAb26QeAWkae1J9ACYC32682fozZ2aCNyPAvmFrat4zbsWARNUFunOn0GaNvnt6xNXwOnWCcoLdOfPYIc9/OYGkn2N/zsxqoIf5QoexsT2QRIP98pxzX2/CdPR9WjnoOpBztJ3Xz2ERiDZ6mcJgDcCpdRl4DLws6PnhBBnmUwMjL4eluP6PJ/KsLPxJvBvhBCfBF4A/pUQ4pxSqnGHXaf+fZAc6AQ4LgPfmaLHzV39u263nSUBMjIyMjLedK5xpzbSSRSPKBaRkZGRkZGRMZ1j/eAdGgB9P/AH0W31Ah34/6fALyqlUiFEDvhzwA8B/wD4iuNcwx0YdR2sTNsohCiipQPGxx5CKbUFbI3td9cDH2eF7L0wLeHQj4GdJlajSei7lMoGoi8xGyEWkAC3Lj7PrYv7PouuCWLuBM2nvoXa0hlOl8ucWFrlxNIqiwsnKeQnVRby5Tny5TlOPvnuqesadJvsrF1k89rLbF17ia0bn2fr+ufpNbemjtf7NLjxyse48crHJp633Ry15XMsnDzPqdNPMHPyPMWFsxQXzuKWD0gMeSX8k2/DP/m2qcdI4oDm7i1uN7e4euV5Lt9+GWv3EqGVp7n4HObcE8zXFlkqVViozJBzJ8P4dr6Kna8eeQ5h2KfTa9GPQ4RS2I5POV/Gd/2JcabtY9r+EbNAnMSkKsU27UO+A3fzIVBwqCr/USQJxpFKIqVEKkmqUhIFC57PNy0u7Y2JZcoHblzk9114BwCXG5ucG0pEXWvu8OzqMwDsdhqcKehrHEQhse1TCvdjcYGTJ3R8esU5vH6bZMy/M99r0EL/MrKnSPoUNy9jhz36w06BkQdAYfPKIQmfo1BAv7xA7BcPJQAYHttrbdKbO0W/vIDX3CBKOaTxP42Rxv/474QHNbF90MTDvXAvc9umDtInd5j7QRKmnRg6LYXTVXgmoCCQmb7/G4UQ4t3Al6PNcy+PnldKXQGuMBYYF0KcOTzDfXMsn+f3glLqohDi48DXo41s/tMdxk79++CgHNBxJQFmx5IAWSdARkZGRsZjwA2mJwEMYIn92MMXohpARkZGRkbGFzwPnQQQQtjA/wcd/P8qdLyrC/wo/y977x0myXWe9/5O5a7Ok2d3NmMBLMIiB4IECYIgwSwmUSIlKli0ki0H2Zbl6yDL9/rKtmxZV7Z0fSnJIqlASzJzDiARSeS4yIvNYfJM58rn/nGqZ2bzYrGzC5Dn9zzzzE53ddWp6prZme/9vveFP8xDgZaQUnaB/1MIcRPwxld6/JfBY/nnE3Uh9h/fJaV82Z2DJ2M1u2+P5lSCQ5KC6IUElqAiYd6A+ATrMgVkswc5/Ogd7Bjawh1HWZwUBsdZVy6zyTVZX/QZXrORoTWbGB7fSH10Asuyj9hfoVRj3bYbWLfthiMe7zRmmdn/HLP7nmf2wPPMHHiBuQMvsDi9D5kdf3Fx2GVq91Ms7n2KxceWi4+eCcViidLoZvzhjbhDGykNb6QyuonS8DoKQxuw3KNyAmyPobEtDI1tYaUmlYRtGjN7WJjZy/Se7/PQ3DS7W03accQbg/2sr1VxBzcg6hvxBjfiD07gD67DtI+0AnJd/4iJAFAF8qnGHPOteaJeiyxLKIiMslekWB2jXB44prBvWzY2R17TOAroBG2SNEYIA8fxKRWKx+QQHF2XlTIjiCN6aQrCoGQ7OOaRxzu64J9lGe0kJspSQOBbNr514h8hhjAwTlLsWug2ePTQC7xv0+UYQpBlCcHci5CLAAvxcvv2/MIkN02oqZSwu8hA8wDu4CXLa4sCOqVRzCSivrCXcjFces40T/5jTgCFxUm8IyYFYvy4gwlkpyHKJV6JqFTH7rVOKBgIwO61iEp1Eq+EHbRfscf/yy1yvxLh4ZXsu2hDwRJ4FtQdmAthwD02EP2VCqZRqgv/54m/D3wMONbz7SiklLvPwvHO9f/n/RyjM8oDWo1MAFCTAH3mtAig0Wg0mvOMlHLjiZ4TyvP0VuAPgEeklD99rtal0Wg0Go1GcTYmAQ4Cg6ga13OocfhPncYf3gcB7xTbnE2+D8wBG4UQN0op7z/q+Z/MP3/hbB/4bHTfnm7H7+kIDnFerBsoCAxx6kKgc3g39V7vmE7pbPeTzDSmaC1O8tRRrxWGQW1wnIGxdQyNrWdgdB1D4xtZu/kSJi64HL+0HGBYrA5RrL6BjZcdaeWTxCHzh3cxd3An8wd3Mj+5m/nDu1g4vIvG9H6yLCUDMgmGgF6qPlpxG2PxSbLnn6RfS/RMSB2PyeGL2Frx8IbWE49cRHlgnJFyjbHhdQyMbsYvDSwd33JLDE5cxuDEZUdkI0RxRGfqReLJZ+lO7qT94r3svuuTzB/eRRp18aqjFAfXUR+ZIBvcjDlyISNrLmR4zVbsvPvfEAaj1UFGq0daDCVJxOLcfnYefJawNQ3deWQaI5wS9tjFjAyto14fw8iL/LbjUXOO/DaKk4jFxUnC1gxR1KYjLSgNs25gjJqvmmOFMCg4HivnDoIk4lC7yWTQI0gSPNPkwkqNoaJ6jWEYVJwjBY5W1GO602Sm12EmiiinTYbNFMtySQyPWDhIYVEwwCclbBwkXtyD1dqN63jcfO0v49hq/fc+fQfb1l8JwFxrnjF7WZRwnvkSEze+BYDm9F4KUYfyikajKOgwevglhqZfYO3eB6kWP7j0nJQnLyj36U8KLAXSlsQJA2mPJjMtpKHEg5PRF9CyXJh4pR7/Z8LZCBd+OfuuuVB1BY4hMIWkl0CUyOMGop9LwVRzVnk98LSU8tETbSCEeA/wXuC/SSmffIXHO2f/nwshHOCm/MudZ7KPo+2A7FP9MnCaDK0QAfQkgEaj0WhezUgpU+Db+e8DTwgh/rGU8r+e73VpNBqNRvOjxNkQAQaAL6K6/u94Ga/7T8Cfn4XjnxZSykQI8XuokL8/FEK8RUq5CCCEuA34BSAE/p+zfexX0n27VJC0Oa2C5OkKDlEmiRLVoRseR1RYWQg8fqe08lQ/0WFklrEwc5CFmYO89NTR9Rmoj0ywdvMlrN10CWs2b2PNxm2Mb7gIv1xb2sayXUbWb2Nk/bZjXp+mCc2Z/TSm9tCb2Uswu4eZw3tYnNzF3N6niOLwiO1dAyZTm8OijBNG1OcO0FmYIYgjhggYpkvg1ylV6lQGNmCNXkypsoaxoTXURzbhrsgIcGwHZ+JSmLj0mHX1FidpTe6kPb2LxflDTDdmePSlrzHZ/AwmknW+T33jdoYnLmLt8HrWjK1nbIUQYFkOQ6NbGBrdcuT5Rh3m5g6yZ2oP9z9zP+V4gaJMKA1vpjJ2EcMDa7DywrJtOQwPrYeh5dyEJE052JhlYf/jmMECC+4g1cowa4bW4ThqSsGzHDbXhtjcP2aWsb+1wNP7X4Sog2m5jFeH2FAZwMqnFMpOgbJTYMsKN6Ru0ILuJAc6TQ50F2k1DlOafx47bhGYHrFTZ7S0gasufQeOp8Sge1+4n0OLk7zxcjUF8MRLj3LBmHINWZzcycbpp/Arqgk32v8kG6Z2MLLlwqVjDr5wD7WdD1JuKuueMy2xnW4g7dEYaaKEMdM+9skV9AU0I10ONX4lHv9nwmoKD0fv2xCSmiuwDUgySTeBRiRphADH+vuvpl2RZlVZy6kL7vcDnwVS1OTgGXMm/58LIdYC/d9R3iKlPLjiuX8I/O+Vj+WPjwC/D0ygmhzuPZP1xskqTQJU9CSARqPRaF5bSCl3CiEeAP4uoEUAjUaj0WjOIWdDBNgkpdz/cl8kpXwBeOEsHP/l8LsoX9/bgJ1CiO+hRIxbUHXDj0sp963Ggc+k+/ZMCpKnKzhkUjDZVcW/0y0EnshT/UxYmD7AwvQBdtz/rSMer9RHGNt4EePrL2Rk3QWMrdvK6LoLGF67GXtFF7ppWtTHNlEfO9ZeOk1i5vY9zfTOR5je+QitPY8yt/8ZgjijlRo8V9jIJrvFht5hLFJ8YsqEDERzLLQl+8KIhcmD+J151oa5H3xpGH/NJbQGL2fU81k/PEZp/EKKKwrtAIXaGIXaGCMXL081vAOYnT/MC7ueZsf+F3ly7/PM7d2NkCmBU8Jxi1xY8tk+VOPCwUEGRzdTHtqEvyKI2HSKjIxfyMj4cuE7jgP27nmCO566hyem9zPil9lcHWDdwDjrBscYGtqInU8JWKbJhoFRGFBF9vXA4Zk93P/A3zI3t4/BgXWMjG5hbPQCajXl2W8aBhurg2zMRYowTbh/8iCf2/k0JAEX1+psrgywpjZC3V+e7PC9MnhlLhyA5dVCGLax7QLGUTZHL+38PlPPfJmrr3z/0mMzL36PN17+JgAO732c0tByQHVzchcji7tZE8wtPTa08z56zeWveRnZBX1ebiDtSqygjdNeoD26Gac9f1wRQgJxoUxpatdSKHGfM/X4P1NWU3hYue91ZYFnCRYDSZiqn4PdZf3jGH//1bQr0qwqIeCcbAMp5YwQ4gmUr/7Z4OX+f24DF63490r+MfB7QoinUb+XJKjC/9VAATW5+KG8i/Flk2RH3stnMxOgTztICOIUzzZP8gqNRqPRaF4VNDh3uYAajUaj0WhyXrEIcCYCwPlCShkLId4J/CPgZ4F3AwHwLeB3pJR3r9axX2737SspSJ6u4DDZUfs9Vx3IfU5W6GwuTNNcmOaFx+458gnDwN9yBRsv3s6GDZsYHVlLpb6GgYFRBofWUKysKJhbNiObr2Rk85Xwtl8AIAl7TO7ZwYvTh3mkJ5nf9yQvHcwYTeapEmEhaScprUTQcT1MIUjdAlHmAwKRxcg9D7D49L0c2vU8ex1AQGoWGJm4gIG1W7GHt1Ic3YK/5mJKY1spFJcL40MD4wwNjHPTtbcBcGDmEM/teYbHDu3j0clDPNNcpDj9CPN0OUQVOwtZm/VYVxlgZGCMytpt2BNXUBm/GK+gAplt2+OCrTdwwdYb+Ikk5tmDL/DEnh18/ZFvUGnsY1M0iRzYSmPDG1kzsoHNg6OsG16HmwsD48MbGR/eSBwH7Nr1EDufu4v77/oTHK/C0NiF1MYvZXRsK2sH1mCZJq5p8aa1G3jT2g1M9zrcd3A3X3xpB0n7MF1ngCuqJbaUKwxWxxipjFBeMT0B4LqlY+6FZw48y9SDf0q1MsGWdVera3PgaQYHJrDyrvrn9j/HyAXLdcMnIsHU+FVcNa7qeUkcEbYXj7xdVuQAyOz06nZnEkjbRwB+Y4qwMkxQHcVrTB0hBEggqI1h91r4Rz23knNZ1F5N4aEVQ5hJqrnvfyc+cfbI0f7+q2lXpFk1ngOuO43tdgG3n40DnuX/z/8l8HbgWuAtQAloAo8AXwb+h5SyeaZrXa1g4JWZAABzzYC1g8UTbK3RaDQazflHCDGMshFcPM9L0Wg0Go3mR46zMQnwmkJKGaM6CH/3XB/75XTfvpKC5MsVHM5VB/LLtTbqI4HW8CY6fgVzdjczh3bQiAXStIndInbYodad5/KSxdjGS6ltvpqRrdcyuuVKXF8VzC23wMRF1zFxkWodhR8jTVMOzx6iMfkcvcPP0pl8CXN2H2bQoit8Isuha5cQQmIkCV4aUs4CZkc2YfQWGY4XsLMeTD5Fc+opZkNV6GzV1xNX6owR0x3YhrPxBrZdfB0XXLAdN88EmBhew8TwGm5DBe4enHyJhT0Pseelx+jte5py8xCFoEFvT4N9+VWQfonJ8gRzA5dQ2Hw9N15wOZduvgLXK2JbNts3XMr2DZcSv/79HNrzGLtevI+79h9g/84dDD59J4W4gzRsrrd6DF79AbZdeTu1Uh3b9rjoopu56KKbac3vZ99zd/DS8/fxlclJGtb9lEXGyJptXLXlam4cX49tmowUirz/gst4/wWXcaC1wNOTu5g99AQPTT9HnDu1V8i42OhRLI9QqK2n4NeJog5Bd4Fmr8VT3Yzp5gw3+MNce8PHlgJ8H33sy1xxxTsACMIud80u8PO3KovvVrvB9ORuMsOmskaJALMzB0iz9IjCumUvNyVHYe+U9+YrDaQF8BYnKblF2iOb6AxvOCJEO85DtUvTu/EWJ0+5ntXmXHy/G6i8jig9sQAAx/r7n4+cBM0r5svA/ymE+Fkp5adOsl0FcE/y/Mvi5fx/LqXcwwmcwqSUfwn85dla19EcbQfkWGd/EgBULoAWATQajUZzvhBCvPEkT5dQE3m/isoT/LNzsiiNRqPRaDRL/MiJAOeb0+m+PRsFyZdr97HaHchn6rUOqoO6PbKRCSum3jzMbGJh5bUcq9sgKg2x6A/wxKEXmd7zLI1v/i0zPYltGQyuvZB1F1/NxIXXsP7CK1h/0VUUfNWRbpomE6PrmBhdB1e8del43dYcC4dfYHJqN3PPfpv40OPYQYckAyFMksowB7065Z7JaDSLI2AuhF4CsVWg4ZQpxhG9uM1s83F273yBb3zrM0TlEdZdeA3bLrqS7ZsvZduaddimhWEYrFuzlXVrtrL9po+Shh0Wd/6Ayce+wqH7/5Ys7gECJ2hTN2c5UGxw16EZnnrhU4zLNpdtvoTNl9zCxZuvwnN9bMthwwU3sOGCG7gpDnn+pUd58sEv8MS8xACmZ55n+pu/z9cf+BqXbbqEGy+5iYmtN2GYFuWBdVx608+x7caPcen+p7n/+Qdp7/0B03tb/OHMLP/VH+Zd4yO8ecOFbB4YAWCiXGeifA1svYbFboPJmV28NLuX+cln6SwcoNU4RHL4mSPe0x4208YQm8Yu4Oarb8fzlFizZ8+jtFtzrJu4HIDHXniEKafOprWq4L9n1+MUImWls6Y2BMDBuWnalTHKzeXiumUvF8eS6Mh8iONxNgJpBVCeegk77BwTol2a2oXfmMJbnDzjvIKzwZkKcWfCK/H3P9c5CZpXzB8B/wD4IyFEIKX866M3EEJUgetR1jo/UhwdDHy2JgHqJQdDKLENdC6ARqPRaM47d6L6t06GAHYAv7nqq9FoNBqNRnMEWgQ4T5ys6H42CpJw7n3GT8TLsTYKsyPXKoFudRSz4FNvvUiAwcpmTgE47Vl69TX0SkP0pueouiCEwDIk5vzzHLzveV688zOqeJgInBvezdh1t7N1ZJQt67Zw4Zq1DKwIJPbLg/jl17H2wtfBzR8lmN/H7BNfZd8TX+fQ3meoZNPMu2MsFodZa/bIgg4AtgFYBkXHIMos9skyrgioGRHz5XFa5VEemG/y2D3f5M/v+y7jHrxxsML2DRewZfMV1NerwrfpFhm89DYGL72Nre/7N+y/+8/Yf+efkjQPU4qaeEGHujHJovCIhcHiSy/yg90v4ToW24fXsuXSN3HxhddT9Hxc22X7xa9j+8Wv4/JDe/jGQ99kT9KjHDUYiOZZfPFuvrLrARz3T9h22S1s2/42BgYnMAyTLRu2s2XDdubn3sbjT32L5MA+nge+uKfJt3Y9w9pimRsmtnDTxCbW1VRob82vUttwFRdvuIo0ew+91jTd1iTN9izdzhyGYWJZHpFd5orBLWwdXrd03R998WHuuv9veNvV78Aw1F39nRefZHxgDZViBYDdu55U18i0GRxcA8CB+Vna5VFKzeUCu+WsEAGS43jKHMXZCqQ9kxDtc8UrEeLOhChVP8OGPEEsJfEJfvacyN//1fLzS3NqpJSLQogPA18B/koI8TPAJ1BhwG1gG/AfgRrwmfO1zvPFatkBmYZBveQy11JC56wWATQajUZzfrmbE4sAEXAI+B7wv6SUp/4FXaPRaDQazVlFiwCvQs5WQXJl8Sw4j8Wz07E2WlsSeKagk8gjOpQXTZ+oVKMQtDCRJPLYiyIAO+wQ+2UKJY8hEeIY0IyOX+icfeEBnuy2eMRwSHttMExuqJu8ZdMwAxPbsCe2MzixjYGxCwDwBtYz8eZfYeLNv0Jnbj+7H/8mlUe/Q2+hw6SoIHodMglhoUq7NMKB4jpapo8ddhihzQApoe0wks3T60zRwiN0igy3Fpnet4/PPV1ijWxyMR3WXnAtpW1vYfjyt+HV1+CUBtjyzn/Cprf9GlMPf45D9/4ZaTOh1tiHmaVIYYJMSC2XA9UJdk8uYu35S9LvfInLNl3CLRdeztUXXY1j2VyxZiNX/NgvsXv/m/jmQ98g3HkXlXiebtSlm6Y8+tCXeOzBL7BxZIKLr3g76y97K45TYGBwPbfe8nGub8/x8M5H+da+3RyII7qLB/lu4wDfeuYHXOyZXDe+novHNjIyfjGG5WAaJqXqOKXqOCMnuT+iqMdXH/oKXzxwmMtGLuWSS24BYM++HTzRbPOzl128tO0Lzz8IwPoN27AslRmwZ/cOun6NyC3hhmpKoFCuA9DrNMnSU9/8ZzuQ9myGaJ8NXknGyJker+YKhjwY8KDqCuYC6CUqH2Bpu9Pw99eF/9cGUsq7hRC3oGx13oHy2F+JAKaBf39uV3b+OVoEsM+SCAAqF6AvAuhJAI1Go9GcT6SUt5zvNWg0Go1GozkxWgR4FfJKC5Ln0vLjVJyOtVHNhaIFVRcOtiFIlgv3rm3QslPasSRFYAmZ95dIHCGXRI4kjSlaUPMMRAhz4ZGdx91EMurDgGewPp2h0XmeVnUtM/Uq3V7C442QwgvPMrpvBzU+jW2alP0qA9veyvhV72Jgyw0AFAfXcdlbPs5lb/k4zfmDPPv499j5nf/Jgen9tCtrCJ0ijcTBLlcYdTOqhgDDxLMHKHabjBk9usEsDQPKQZNuHFNJ5nAqPiLs0Hzss7Qf/yy7/sJk5Jr3MnrrrzGw9UYMy2H8xp9k/MafZGjv09xx/zd46bFvkmWq6COTENeap1cao1MaQWJy9+FD3HP4EJVHH+Jjl27ntstvxLEdNq27mF9edzGTh97BYw98luSpr1Fr78fOYkyZ4M09yQsvfpfv3XM1V151O5dd/R4KpQFKpUFuufKtvOmKjJ2Tu/jB7h384PBBrCSkMP0czQPfZXe8wD7LJdt4M2L9jQxVhhmtDOJXxzAMc+n9SLOUXtTjyV1P8J0dd7NPusRWkQ/d8G6EMEiSmL+6+/PYmeCGLZcCcODA88zNHQJg85Yrl/b1wguPIQ2LzFj+ceZXlVVQa2H2tO/VH+ZA2leSMfJyWV+GNUWDsqNEBdOAogF1DxYCwXwo6UTa3/+HESnlo0KIy4CPAR8ErgKGgQbwbeBfSSkPn8clnhdW2gEZAkzj7M0FDZU9XqABwGxTiwAajUaj0Wg0Go1Gozk+WgR4lXKmBclzbflxKk5lbeRbar22qTz1+7WSWEI3kPhWyqjoElkluj2DETsCJEUjpWBmSyJAy3HxZUTZSDkYcIz1SM1V3cjjPrQjQbk3RSp6bPDLLFhV9hpF9sUOfjiDRQ+nWKIVzDFz1yd5/q5PY1XGGbnydrZe/U4Gt1wPQGVgLTfc+tPccOtPMzt7kLvv+RxP3PUZutURxu2AiikAm45VYsEbQnoDlINF6t0Z1rQOMpNIXNehRoCf9GiaRRzRwJExNSul+/jneeaRz5OuvY6L3vFrjFzzPgzTYsOGS/k7Gy5l8faP8d07/oJHHvo6WZZRb0/iJCGtQo3p2gYyYWHIBPfA43z9xTt59Ct/wBvf9OPccON7cd0CY2su4h3v/z+YedPP8+h9f8XhJ79GNZjHSwK8JMBqHea+h77Mzvv+guHt7+ayq9/F2PgFCGGwdfwCto5fwE8mEXv2PkG6Y4bmvheRQJaEyJ3fYc+Bp7nbGcGUKWuSBeoFn71GnX34eHETN4toWkUOuyMctof4yYsuZWNtEID//fTDzM/uZfvYhYzUxwB46om7lt7PDRsuA+DQod0s9rqILMHIkqXni1VlT9RcmD7te/WHNZD2bGSMnC7ry7C5auCZ0IgkaQZhBtIGMxP4tkQiSDOp/f1/SJFSpsAn8w8NR04CnC0roD6DK8KB9SSARqPRaDQajUaj0WhOhBYBXqWcSUHyXFt+rKRvPWQZquDf9+8+mbVR0YY1RcFQAQwhGCxAxVHTD91ETQR0wx7lcJFCZYBGx2CdkIy5AQkQZiapFJhCMujCumCOLInoHVXsLNrKbqjkCBIJhgmplLhBk8G0ySZvhq2pYL4nGbFibNdmn1dlwJQ4CDpSEC1MEd79Z0zd/WcY5XGsy9/LBde9m60XbAdgaGgtH3j/r/GWt/4M9zx1F1NPfYm5tIAlJLNWjYZRRIiMZqlMZtqsTeZJiGkWBuiQMo3FQNzCyaaoypgkUwJJxYH5/Q9x7x/8DN3CWjbe9otc/Y5foFQZoFYb4QMf/HVufuOP882v/ylP77iHYrBAbNqMLewmNh38sEW9rbzyO8DXvvoJvvjQd3njG97PW6+8Gd8rMjwwzu3v+SfMv/4jPPbg55h5+G8Zbu6lFi6S2AUWLJ/JJ77NY09+l5GRTVy2/S1cctmbKBQqOJbDhVuugy3XEXcXaex/hMb+R2nuf4wNzcP4acCMVWPBKDIfZLSsiJIMSQ2TjunjypRL6kN8dPOV3LJFZSLsbzb4zNOPc30wz7u3XbX0Pj755J0AWJbNho2XAPDiS08SumUG5nbjhMv2O5WhtQA0509fBIAfzkDas5UxcirKNowXDQqm4HB3xfdgpgS+oi0RqBDTRgiT3dfeRIVGcyYk6fK9fjatgEBNAvTRmQAajUajOZ/kmUBnjJTy02drLRqNRqPRaI5FiwCvYl5uQfJoyw/bUNYDmYQ4O7uWH3361kNDBfXZMdSx2rFktqcmGo5nbVRzlSAxVFCvKdrqdb4FlqFCfQtmvtbeIjWvwWx5EBkfQAAizwaQQOxXKCc9/LhL9zhrHPAEVVfQS6Cb9YUU8EyBMCRmGrPWhloGvgMlO2bcnKNpVwjSFEdm2KYkloJOZuC2DtG57xP8+cPfoGZ5bL3uHdz45o8wPDhGtVTl3a97L8FVt/LIU3fw0NN30xEFECDSDEHMnDtIzy0xHE4iM8GUUSX0KkxGPp4zRdo8gGtCIsEzYboLu9vQnT/IS5/6Le78zO+w5T2/xu3v/3sMDYwwPLyOn/6Zf8ueAy/y+Xu+QOfZ+xloTdL0B7Cy5IhA2o5XY9oo8uc/uINH7vkMb7rmzVx3/fuplKoMDKzhLW//+3Te8FH2/OAvse79BHZvkpf8DRwojuMnXToL07x4z//mrx/8Fles3cx1W7az+aKbsJwCtl9j6KK3MHTRWwAIW1P05vcRNg/Tbs2y0G4y7Q7Qcyokts+o57F9w2UMlAeW1hdEIX/87b/AinqUB9Zy6WVvBuCxZx5gYWEKAWzefCWOUwDgkd3P44YtSq2ppfM0LYeBNVsAmNz7/Mu+p3/YAmnPVsbIqah7atpoITz+z5ZODFVHXUvbfGUTBxrNa4lzNQkw3w7JpMQQ5zuGXKPRaDQ/onySEwcDnw5aBNBoNBqNZhXRIsCrnNMtSK60/PCtviCwLAKEqSrI9y0/SvaRHftnQt96aLigjmUKQZJJXEcV2MsOzPYgSCVhumxtVLSVNY+ZTw2UHYiy/rZQsMAxBJ1YYgioR4tkrf045bV0K8PMhhF1QnxTUnRs7KRLuTuPCHtUHMHaouBgJ6MTq2Jj1RUgVTeyY4KwbRwXDAlGFmMKcAyIbDV9UHOhLAIy6ZA6HmbcwzUkiYSuNGhmBpWCx2i8QLrQZM+DTV565htsvuytvO5NH2F4cC2eV+L11/0Y1135Du7d+QTfePZhFpozGFlGbJq0rBLrRMRCCn5qgDDw0oDYq9AMKtjdJmUb5gJoxEog6ZNGAc9/9nd54s6/5tp3/wrveNfPUS5V2TixlX/8kX/GgZ2PcP8X/jP3NHqkhr30Ogm0vTqhXaDamWFBSu566Js8+Oh3uH7bjVz/+h+nXBulWBrg0rf+Gukb/w7Tj30B89GvES8eoOVUSYWFmSWMNHYTTT7Es/f9IS+6RcYveyvjl76VwS034Pg1ANzyKG55FIDRU9xLWZbxwoEX+MoDX+Xg/Bye6XHj6z6EYaofUd+882+YrU5QCDtsufQNACRpwjPPPEx9bjel5uTyfbn2Asz8dQd3P3NmNzc/PAXqsx16fDwcUwl4aaZ+3pxwLZna1jPPfOJAo3mtEa8Yw7GtszwJUFkWAdJMstgJGSh5J3mFRqPRaDSrxqeBGvBe1J8eTwJ78uc2Atvzf38JWDynK9NoNBqNRqNFgNcKpyrM9S0/ipYq5rmmKrilGZgG1CwoWAL1+5jqvk/lmYcGl20Y8QWVPHw4yjgin6Bog5TqMwjCROJaYmkSoZhbGlVdsAUczgUAUMX6sg2uqbYZ9wUD2QxD7S5GVqLn+KSYuMQM9Wbx4y5xr4dhQtmF9QZYpuBgW3mSF0wlgsSFEkaxgPAcPAOQGbW0ixWHJGFA0YREqIJ70I4J3ZDUsYmdEq00Q8gMw7GQZoFWHFHqzGNGbRJrjFlsnnnyDp45+DS3rV/P5ht+moGxrTi2w63bruONF13N955/lK8/9j06QQeJwDYEI2ZAFUk5XaAYNIgdB1mxcAV0EmgHSsg5umwkgMLcPnZ86l/w9Jf+gJvf9/e5+d1/F7dQYuKCa/jQP/0MV77wMJ+778t0nr1LCQCWT+CWcOMAATRx6bk1Nrf3sveeP+Ol+/6KTdvfxpW3/AzDY5sx3SLjN/4U4zf+FDfsfYzn7/8b9j5zJ0QdCkl3qfM+DTsceOQLHHjkCyAElfFtDF9wI0MbrsQfmMCrT2AXBzgee6f28vALj/DozkdpdVtIIPQG2eJ7XH3J6wHY8+jXMZ76OiPFETqFGpdefB0AO198nMqehyk1J4+YdhjesG3p3wd3nbkI8MPEaoceG4DIv3dOlnmaZuBaSnw804kDjea1xspg4LNtB7RyEgBgrqVFAI1Go9GcN/4p8ABwH/CrUsqnVj4phLgM+COUGHCjlHLm3C9Ro9FoNJofXbQI8CrildiPZIBrQs0VxBIa0ZFP9oDRAlQcg24qaUSQpGcWGly2YWPFYLQIllBF/fkAUlMuFfLDBGoeRD0lSLQiWOhI6h7UXQFCYgo1uZAY0E2OrBxGKdRdiDNB0ZYEiWAtHYpxBwubGDABkcSkQJhPNkSJ6kiuu2p/Mz1V1AzLNYRfx3QElawLWYYhTDKvSMcqULWb+HGXIFHiRZqB6LSppgmR7XFYlEA4lIhxe3N0O13KSY+eadMVGTYZXQQLVo3v79nFczv/Edamm7ny2h/j4vXbsAyTt267jjds2c5dT3yXhfufIcSiQkKZOZw4IMsSIlKwDRzXRoiYmgtTXSXkuPn7vHIqQAAsHOaeP/uXPPLZ3+P1H/xHXP+eX8bxilxw4bX8xoXXsuuFB3jkG3/EzqkDNGVIJ7ORQKcwgJnGtCKJJ128NOGlx77Gjh13Mnrh67npijez/vI3YxgmAxuu4nUbruLaXotDT36N/Y98nvndDx97c0hJ89AzBId2sCAShIBICky3jFMZYcap81T9Euy0h9eZYa8o0zR9DCmxgJZT5fLhMX71tp/Eyrv5H/3if6HWmabamWZ4+9sYrKu5gl13/S/KKyYA+qy7SAU3J3HE4b3PnfqG/hFgtUOPM3KhLVNTQEF6fDHBNMA2BZ3ozCYONJrXIitFAOtkKtkZMHSUCDDbDNg6Xj2rx9BoNBqN5jT5v4Ay8E4pZevoJ6WUO4QQ7wZeAv498IvneH0ajUaj0fxIo0WAVwF9X33fXvblPt3u/JXCgUBQcuBA+9jtPFOF7xYdmG6oYM4+Lyc0eNCDUV8wVhRIKbFMVXyv5BZAsZSkmViy/PBKsJBnFMyH0I0lGYI07xjOEEiUBc/iijXZJpQciFMIE4FrQcFWwsVcJ2a0AFUXGkAQKjsf32apI7zqgG8LJQx4PtVykVQaON0mGAlJZuBbMTKBxPaRjgcyJoliLFPlKUgJZhIg4oBy3CERgqIhydKYgpQUHEGYCWSc4tldmvjUoyaGAZaE7u77+czB3VgTV/ChG97OtjWbKTgub7/uHfS2Xc/zd/4J4pE/wQq7JElGKgRISU+YtBJwJKzxWXLW7Fs7BSl0E/Wxkm5zjm//2b9mx1f+Gzf/5G9w8W2/gGm7bL7wBjZfeAO7nv8+X3/omzy00GXWHMSJe1SCRXoZHDBrFJMuJtAy6ux5cQczd/8FQ6Uq2978s2x7889QqAxjF8psuOEn2HDDT9CZ28fkM3cw/eydzO16iCztK08SW6SYQhJIAxCkYZveTBsf8GLBi7WLGLQrNK06B9wREAbIjA9fsJWPXfeWJTufR7/0e8zufhxQ7+1Vb/oIAFHQ5Yk7/uq49+iGy5Rd0O5nHyYOdVBmn9UMPe5bDkkPokwdo3Oc/VXzzIDFE+QGaDQ/jEQrJwEs86zu23ctfMeiG6n/EHQ4sEaj0WjOI+8G7jyeANBHStkUQnwPeOe5W5ZGo9FoNBrQIsB5p++r75qqOzfJTq87/2jhwBAw4KpO3OMV4AqW2t9iqIqptnFkR/nphAaXbbWNKaAVSSyhRIg4Ux8jBfLzUJ3HqVTTCcM+VByBQJJKgW8psSHMVPGwYIJlg21ImpEgk/n5WZKZWGAbSuToxss2IjL/7AioFyDOC+KpXLY7KbswXBDstcokhofVbSKMDENA1UoomRJBhkkDw7QJLAfDiElSFRzsAjJ3UCrIGAFkibp+JVvQSaARSqIwxDO6VC0IozauK/GNGD/tIlLB84ef4398aTcXr9vKh66/neHhDRRKg1z57n9O9LqfYN+3/jOtx7+AJzOkmVEmIzHBEst5CdOBOjdDQM1R0w6NSH3YxrIQZBtg96Z58JP/lAc//1+56kP/gstv/RimZbP5opv4exfdxDMHXuTTj3yfh2bm6bgV5uIJClGTQtSm2Fuk6xapt6ZJhcVsu8FDn/0dHv3if2HDlW9j6xt+gvXbb8OwbIqD69ly88+z5eafJwk7zOz8AQt7HqGx9zGyg4+SxgFwZNerAEpxC1smtOwKxTTAyyJG6+P8xGXXcMumCwGIk5jvfOa32f/t/7H0Wr8+xoar3wHAjrv/N0F78Zh71PUrjG1WdqMvPH7vce/jH2VWM/S4E0sWQiXoWYag6qgJgyy/b+uuoJdKDnWyVyQ4aDSvNY6YBDhVQvcZMFh26c6p/wTntAig0Wg0mvPHIOpPqFPh5NtqNBqNRqM5h2gR4DzSL6obAuaDIwvvJ+vOP55wULDAtQWGUMHAllguwDkmDHiqmNwIlWXP8RwJ+qHBjnn8wqAKGxY0I0nBAvJOYs9Uhb+qqwr6DVSRvmiDYUCWCbwirCmaHOpI5gNJJRcsokTSECpU2BZqggAJJRdaoVBBwbbKCUjy0OCixdIEgmWoY/UAIVWnfCNWgkEqVQjwPnOISi/lKjPDFSmOyPDNDM/IcIRESuhlJqnpYlsRWaIudpDv38inM/pWQVVX+Z83IzCSmHraxpbgdNssypS54Y14ZpGq7FCNWoyJOSadQQ7tfZIv7/wOF2+9nstf/zHK1VGcwY1c8JH/zpqbf5HJr/07unsfxIoDLCsmTnMP9TzrYS6flAhS9fVIQd1DsDwlULCUELDHHKBrlnju65/iqw9+m1tu/3luuPpWLNPikomt/IeJrTxwcB+ffupRnj24h8S06DlFDg5eiBP3EBIix8eQKcXeIrXONOnDX2H3w1/BKw+y5cYPsOm69zC29XoM08Jyi4xfehvjl94GQJbGdCafpze/n6g5RdicJmrN0LOLbPFHWOtWKTgua9dcxMTYFoqev3SfzbYa/OWn/hXy8S8h3SqGTPCiDpe/7ZeWgoIf+uonjvs9teGyN2CYqtP2hcd+OESA1SjYr4YVT99yCAR1FwIplShlKBug+VByuJ2x/ziTShrNDzPxKmYCAAxWPPbPdQA9CaDRaDSa88o+4M1CiDVSykPH20AIsRZ4S76tRqPRaDSac4gWAc4j/aL60QJAn+N1559IOMgkLAZKOEglBKlEoopvEjUZ0EskUaa2zY5zyFTmRe/jrMUxlYVIkEjiTPl/Fyy1fd1V9j2moYr1RQcGfNWt3g6hGStbn7IDG0zBeFFimYIkXe5u73f5F0z1uoIJmaUK7mEKEdDOt6+byv7HUU4z9GIomipIN0rVsUDZ5Xi2IMRmNhEkNjiGIMSgRIYlIJHQSi0CwwIhEEKdR5goy6SaC5FUEwpSwkBBCQELoRIhCiYMpm0WE485WcSan8KLU2aGxujYFVLLomWXaFhFogSKskHn8Tv5/vc+zztuuJUtb/01vOoI/sR2Nv/i/6ax814Wv/KviXY/QJCqgr9rgl9wWTAdgjjFjrsYAoY8dW1m8ikBx1DTIM3iMGlhHQ27hhN1mW03+dPvfpa/eez7vOfqN/KmK2/GtmxuWLueG9au5+npw/zVk49w375dRLaHY3kML5qYWUJq2EzXN9DyBwmdIiMLuwlaczz97T/m6W//MY5fYeKyN7PuittYe8kbKQ2uBcAwbcprL6O89rKX9T2xY/cz/OfvfBbR6FAevwopTAyZMmabXPLWvwvA3h33cejFR4/7+m03vReAKOzx/BP3EnslMtPCSBOsoM3Z78FdPV6JTRisjnhwKvqWQ61I/bxwTfX90k2ULZieAND8KJKsyMhYDRFgZS6AngTQaDQazXnkU6hcgDuFEP9CSvnZlU8KIT4A/A7g59tqNBqNRqM5h2gR4Dyxsqh+Mo7uzj+RcLBUmM8ABL1E0ogkBqqoHXuqIOiaqphuiGMtgfqFxoxjMfLnk/zJTiypu4KSrbriDUN1yrumygew8wK9Z6kJhHYMkYSKC0IK2nlnv2sqMaHuqn8j1LZJCrYFbl+UyMWNhRAIoGJD0VfnnElVzA9yn/z++h1D0o4kphMT47CQ2szEkrqV4iLpZQa2IUkw6GBTlTEFC3rYSrjIIqa7AtsUeFY+ZRBCkkkyKShYau1G1KOdthF+gahUx4q6WDN78YsFHitfSiRd5nsh0ewkRrofISNEZrDnB59h9xNfZcstf5etN/8sluNTveANVP/R92g9+WV2ff63SOf2sWgXaBerdCkzk9gMRIsMxDPIqKHEHImyVrILUKwQl4Ypk2C0DtCVJoFXwZAZyf4n+WS7yZef+j4f3H4jN2x/E65tc+nIOP/+tnezp7HIN3Y8yD1PPwjCwItU0bwYLNAojjBdXY8bdah1ppfui6jb5KUHv8ijT/+AxeII5sgmNqzfxmUTm1g/uh6/PIhfGcHxK8e9vxfnDvLi3ufYve85du15it3NFgv1LSQDm3BmQgpRm9SwefP7fx3bUYWu73zqt467L8MwufjGdwHwxCN3c3jkAqJSHWlYiCzBaS/gN6bwFidf9WLAmdqEwSsXD14pq2k5pNG8FomPsANahUmA0rIIMNvUIoBGo9Fozhu/C9wM3A78jRAiBPbnz61DWQUJ4Fv5thqNRqPRaM4hWgQ4TxxdVD8RK7vzTyUcdGJJwRL4lsTLPePDFGwJWQYTZUE3kSDB9pX3fpiq13UTKDmChUDiGMcW77J8LX07426i1p5mEKYS3xEU8/UVHUhTJTDYpir8l3NhIEjzvIBcGAgzKFmwoaxe20vUh0TdnAtxbnNjK0ujMN9vI1Jd70EC7USdn0QJDmluj2QagqATUbZaNGrjTLYdymZKM4NObCKloGwmVM0U13MIU4EpSixaLokLiZewfz7AaTUZ9gwkkrlA4hiCotW/1mothAv4YULolUm9AtU0JFnsUDj0AG6cUO0skrZbrK9ElCtFZs0S1IrUzYC993yCgw/8NZvf9HE23vBhDMuhvP09bL/snUw/+nkeuuOPaczN4qcRtmHjVqu4SUbSM6n15gkKVXpOnZZToVOpE3lVasE0CJe4FxM7Bfy4jW0KQhnQbi3wN9/5S/7825/jzTe/n/dc8wbKXoGN1Rq//Pq38XduuJV7X3ySJ77350zveRIBVDvTzFYnWCyOUO1MLxXRJTBd38R0dT09t0Sh3aK14z5eeuZeqnaKH3dxWrOMhA0YWM/B+kZEElEJF4iThMNBSgfladT26izWNigrqd4CftjCiztcedVbuPHymwB45Kn7eXr/LsrHuf83XP4G/IqyF73zuR20Rzdj91oYaUxm2rRHNxNWhim5RcpTL71qhYAztQmDVyYenG104V+jUcTJKosAFT0JoNFoNJrzj5QyFkK8C/gH+cdGYOuKTfYA/w34Ayml/k1Ro9FoNJpzjBYBzhNHF9VPxMru/FMJB90EGpEqUtcdVRgHQdGCsaKg4kApg31NVVg3DahZKrDTNlVHf80RrC8L4gzasWS2t9xB3I1VMbGbKK/vKIO5QGIKVaT3XNX5n2Yshf4K1JRAxVFiRhqowrEQyzZApXxawJNKIJjpqfOsOipvIMrUuZRsWFOCRqCmBqJM7adgqWNFkTregCsp2II4nyaYSBcopj69Qg03mGfAkrRSk0iatDKT6fIQRVswzCJxmnEgdghwwHeZEibMTTM/f0gFA6O8+FNgsiMZ8dUbWDAhDVuUohZmYONYBgc7GWI2pJhnMiQm2IbA6HUpuoJuUmBI9FiXzjHfmOT5v/lN5r77B2x6+68zeM2PIwyT0Ws/xNu3v4tnvvdnPH7HnzIRzDEuA4TrEReqzNs+LbOMY3u4lkevWMUwLGbcDVBOiCNJXcZUoyYWKeXUwc3m2GPW2ZWWee6RB/nE8y/yru3X8RMXXsT6SgXHsrh129Xcuu1qJid38+gj3+Lxx+6gE3boFGoETpFCpPyn+xMCiekw1DiworAukWFEVPCxygP0ki7m3G5SYeEISTfssYhDByffGtqFGqHt4cUdTJkhZMqll93Mhz78GwC02ov8v1/6NEZ5lFLz2G7+K279KABJmnD/049RnNl7xDZOe56gOkp7ZBN22KGwOHnyb77zxJnYhMErEw80Gs3qkaxyJsBKO6BOmBBECZ6jf73TaDQazblHSpkBvw/8vhBiAlibP3VQSnngvC1Mo9FoNBqNFgHOF1F6ZFEdVNd8vwO/72vvWYLZniRK1STAqYSDRgi2kBiGoOIKbKH210kgRmJKwZCv8gOakSqSjxYFrgELkSTLVMKs64Bnqu7h2Z7qIO7EqpA4UFDrc0yVNRBlqshfc6ATqcJ8lAJCBfjK/HxcQ4kFfgZRos61ZEHJASnUBECGeq4vIoz6qoCe5eftm2B6aqKgnajCpyXUREAk1TE8W5AkMJsXQtN2k7ptYReH6JaGCLNFylZMFwvhl3BsSTlu4nQWaWUmc4FNN4vptTJe8tYRlGv4CwmFxSkcE5qhZNgXS3kLnqXeEAO1ThHFzHckc22JQK2xZAvmQsn+FqwtQbdUAuEx325RdjPG7YQgM6Cxm8bf/j069/0Rtdv/FdVtb8NyCmy//Ve58Kaf4Jnv/gnTP/g0zSAgqY4yj0+310NmJoZTwDBNzDTEi1oI28Eu+JiZIDGKiKBJLetimAYlS1J2bWaEAa1Z/uLpp/irHY/zppLDj11xPTdvuQjLMBgb28Q73/VLvP0dH+eFl57k8WcfpHXvLHLyOSSwWByh55aOEgAABE3p4HcDFsuDiEKH8YVduGGbg+V1uMEcXSx1kwCR5RE4JZy4R2QXqLemuPri6/jIT/0rTNMiikL++I9/i97sfoRfI3JLuOFywmyhVOeyN34IgPuefJj48LGd/gLwGlN0hjfQrY6+Km2BztQmDM5cPNBoNKvLkSLA2f+pM7hCBACYa4WsHdS/3mk0Go3m/JIX/XXhX6PRaDSaVwn6r8TzSL+oPupDKpXvfL/zP0jAFJJ2rIrvcALhwFAd9Zlc9vd3LUEvgU4i6eSFv5ItabShYCkv/7Ir8CyJbQo6MUhLEq4onAMUbRXqWbQBBK1IYggYdNV0QcEWhCmEiaToqCKrbaq1FB01sZBk+TRA3u1PHmBrWOBYav9OXkyPJMhMnQ+oyYbZnpoAcFdMGMwFfasiCVIQZHCoraxPyrag1YWFUK01zWC2J/GjeYYHE2K7RK/gUXagKrtU0h42gjTokBkGZJI1ToSUBk8HPr3FeTrDG3FrI7itKSQwG0CGZNATZI46h3YksQwlejRiNZERZ2piYcgTxBLme1C0JXOZg7TLpGFGljjYQrLWDrAtiSENusJmdmaa4K9/g/Laz3DZ2/4htQ1X4pUHufrH/jnBrR9n152f4OEnv0fDrGL1YgK/RoJNJe4RC5tqGjCYzHLQG2HSHsbybMphg4402eeuI0UwIjsQ9Ji3K6SGhR0GPLF3Lw/MzLLuji/ytouv4O2XXMHEyBrlt7/1Ki7eehW895eY3fskLz15J8nsLOGBE1nrCLrYtGOD0B0HpglabRqeICmuPdJWyDBJhUngFNlQcHjvVe/m1te9WwkAccR//6Pf5NnnHsZ0y6SmTWYc+aPrird8BNstAPD1733phMV9Adi9FlGpTuKVsIP2CbY8P7xcmzAvFw4t48zFA41Gs7qszASwrdWdBACYbQWsHSye9eNoNBqNRnO6CCFqwLXAMLBXSvn987sijUaj0Wg0WgQ4D/QDM8MMMimpugYlG9qRKv65prKcaceCRpQdYd3RFw7WlkBKgZtPB/T9/YVQ9jxZXnS2DVVUjFYUFbtJXli381yADAQCIcC3JFFevO/EypKnlwiGC0pM6MSwEEg6pmCNkAz6giRTAkaYquJ8PxhYoAqTqQQhIcsDhMu2EiziFFJb2flAHm6cqbX3cc1lWyGRn1eYSNqJmnowjIyaa5BJyFIITSUAOIZaTyNSeQdCSLrNJhf6TaLIwXOUDVJiFAkzAxtl8ZMiKBgZQkqGrYgJ2yKOpijVHAa6PiLsLYWsTnYkUsJECbz8/QsjkFJZMg2UoepCyRJMdSW+pa6pTGws4VDIIlqZxQuUMcwOI2bIYVHmkFnjsDlEjR61vU/T++/vZ+Ky29l4+69TGLsQrzzIJe/5F2x48y/z3fs+x1MPfonEcPGCRWKjSGg7CCRNUWAh83CzHpHlsb+4jqzXZsaukxkWG1u7CaXLtDWkuuplRuiVsOKAdnOSz917kM/d82Vu8AQ3X3crV13zFurlGgBDG7YztGE7NwBJErN/37Ps2vUEhw/tZGpqD/Nzh8iUHxVmlhAYDgE2fmeWEWc/09X1zFYnKIQdzCzGGljLFZfeyDsuvpIr12/BEKpQFiYJv/H1L7Ij9qgNbsbpLWJmCUaWHPE9ddXbfhaAg1MHefLph/OUgePTzwjIzFffj7/TtQkrO+CaYkkANA2oOmIp3+NErMwY0Wg054bVDgaul5ylnwWgcwE0Go1Gc/7Ii/+/D3yE5VrDp4Dv589/HPh3wAeklPefhyVqNBqNRvMjy6uvCvZDTNlWlh2+rYp8rqlsYsJUshCogr4hlB3OQtgv6AvK9pEe3nUXNpQNfAe6kbL6STOJbUKQqP0dVpbtGLn3fpqp45cdgW2oYqBrQRDDsK+68V0LTJF396cq8DfK1PFsA2KpfPDVxIGkE8NEBmuKAgPopiASZcljO+r8EBAmEKOsfHLnHMIVhcooU7ZErlB5AGG2fL2GCqrg6ZhKJIgkDBYEZggLQcZiDwqGpOaC6wpSqc6xEUrmessF0U4MZUdiGQaeiCECx7WRQpBKSZgZSKEEgLnEoZsajNsRDnBY2HSFQyxMPJZDVucCyc6GmtYYLAhsQ2AKyVBRULbBMQQZ6toOeiCEEgPmgoQktqiaBgW/QOQXCS1BNxEsSI+2cDA9h650GMg6yE7G5ONfJN7xBdzLf4zR2/4JtTUXUizVec/tv8Drr38Xd37vr3ju8W9iRBHDRoOuU2QqKzBr1QCBTKDjFBHWAHYSENk+i/4QRipxRYboNVSoseVRau3HCVsktk9mmOzc/wLPTh/G+tKnuMYzuOrS67nwhney5oIrAbAsm02bt7Np8/al9zSOI+ZmD9DpNGiFIUHQxp3fg5UlCMMkdkpkfo36yEbGRtbhF0rHfL88dugAn7j/Lh6bniIa3ES7PEyht8gFz3wbZ4UV0KYrbmFs0+UAfPu+b5GZJ5MAIDNtRJZgpCeplp8njjftczQ1F8Z9QTeBhSwv7AuoOCqoOpWSRnj8/a/MGNFoNOeGJF3+Xl6NTADTMKiXXOZa6ht/VosAGo1GozkPCCFKwN3AZcAU8DDwrqM2+zLw/wEfAM6bCCCEEMBdwM35Q5dLKXecYNsh4N8A7wXGgVngW8C/lVLuPQfL1Wg0Go3mrKBFgHPEoKc66V1TECTKumbAEwwVYLYniDLJYnistc9KD+9BD9aWBDXPoJ1IFiNBwYKiBVEmmA0kcSrxbWX1003UvrLc0qdgqW7/VqwK8gVLdRCbBnh5XcJEdQlXHYgzQS+RuHlbci+WeBaQqPU1IliTAblXv2NBO14+JihBI81U8dEWeQBspF7byvMEyFTgr7GiNuKa6ppVXWV5IoFmAu38Gg0VoOoaTHWVUNFLIcqkOq5UHdK2qdbaJ81UYVVKwYCniqFRJpSNj5BEEjzAkJLFTDBqSaQd84x0iVOBHWdkybEhq5NdNRkw4sNFdUHZESQZzIfKsqhiCzxbMFJQ52J3Atphg2R0gtgA30gxgh6T2ExLByvp4bGIXa4SmA4N4ZFEYBJjPvYlHrz/24xf/0Gufe+vUxsYZ6A+xgc+8OvMvv597Ljrkzz7/APMOgNMe8N0zQJGluIELQxT4nfnsaIundIQWCZ+3KMkU5KwR2p6pLZLZlhEXpnY8siEoFVdQ7E9S21uNwuzu/je49/ie3/5f1GoDFF540fZcMUtXLFxKxNrtyxda9t2GBvf/LK/T1phyFde2sm3HryDvXPTAPiA15lncWAjieUR+rUj7H5u+sA/BCAMunzna39FXBzEac8f1xJIAnGhTGlqF9arzAqoT3/ap+woH/+VFG0YLyp7qcOdZZErTMHpSsaLUHMFSaZEuqNZmTGi0WjODfEqBwODygXoiwB6EkCj0Wg054nfQAkAnwJ+VUrZE0Ic0XsipZwSQjwD3HIe1reSv48SACScOCYsDzf+ATABvAh8HrgY+DngfUKIm08kHmg0Go1G82pDiwDngLKtivmGYCm0084L27O9ZSuPOD3WyqPv4T3g9b39BWEiaUQAcsnao2Crwns7hqqrhIP5QHXthymMFtV2SxMFQnUPO/kdEEhlASSF6sQPMyUS1D0VGhwmEis364/ySQHPkhQdQZYqH/wBUwkSpqmsfrp50K9rqE7+Xi4IBIkq5FtCTQhUC2rywTXBNpTXvm/DYEE9ZhjK2mi6qwKB+9d0qKBO5FBbYhpK5AC1Td1Uwcb9YqhtqH218+s2UBB0w5iOlRJ7FQppG8fIcM2MNSKkaKaYgMwMLKcAc9OYYXfpfTk6ZLUVw2j+3FRHfR1aDp5jUrJTPDMmA7b4gkFPcDCbZa9YR8sfxFvcQ9HKiKVJV1p0pI0tCgyFPbqiQGyVKEYRBpKCKbGMjL1PfYsXdz3Cuus+wC23fJRSeYCh0c3c8uF/x2WzB/jOfV9i8fmHaZfKWHGAyBIqCwdYu/9RCp055kYvIqsMUGhNE2ZlkgzMuEfgD9D164ReidApU2keZnjyOUqtKZywTVCoYWQJTtim15xl+u6/4b4Xn+bPTZvhuM2aNRtZM76JNWs2MTIygVsepOj5lB0Hr1AEKcmyFJmlpEnCwuRuZvY9x/T+53jIHuTb1JDtWTLLxXR8jCwlM0xSy6HYniL0arSLg2So+3l4/TYuvO52AO776qdJD76Ave4yguooXmPqiN/oJRDUxrB7Lfyjnns10YpVEPegJxjwlGjYtwga8wWmIdjfyo75WdGJJYuhoO4q267OUeG/ZUdN9xz9uEajWV2SVbYDApUL8AINAGabWgTQaDQazXnhQ8BB4JeklNFJtnsBeN25WdKxCCE2Ab8DfA24FNhwks3/J0oA+J/A35VSZvk+/i3wW8BnhBBX9B/XaDQajebVjBYBzgFFW00AzK8I3e0HgKaZsuSpOmq7oy1A+h7eZVtQtFWH+cot+gGiUaiEBMuAZigpu0poiPMOeYGxFLgLyzkBvq32YeZF+n6GQCrV1+N+XrA3odtVAoBpwKgLg65B0VH2JVmiLHcsASUBiVj2+E9z+6F2Ar1Y7a+SWwx1ElWYj1NYDKFgCmygbKlrFGdq/zPBsgAA6hpICWUXNhiCViwxUJ32Qaqer7mCKIXdsVyyRbIMQZrJpRtfBiGOEyFclzgOSVJByUgZtWICadBxy1i9DnZ77pii8cqQVVCCSZwJpu0KQbVG0fdwrYSUmE7axU86OAQMejDfjXCSkEaUEPo1JpOQgkwomwIsj6F4nuGoTWY7eD5YwsTKDFrSQvhl3CSiuriH5779P/nKYw9x203v4u033k6pVGVoaIKf/LFf5fbFab7xwLd47N7P0pMGA3O7qC7uRwDVhb3YdsqsXcJptRHSAAR+dx6vO8/iwHqK7TlGDj+NE3XplEeZGb0IaViILMHvLlJqTVFsTlJ3fBYGN3G4MMT85GGePbiP1Po+oVPGDVvU53YzMLvrpEX3ZnmUHVd9EMdcxIvahG6Z2CkgDQNDpridedywRRC0aVfGaJdHqbSmuPVj/xqALMv41v/6A7zFSUpukfbIJjrDG7B7raUMgLhQxu61KE3vxlucPMlqzj/zAcSppGir71ErDwDvpdAIs+Pa/XQTlYHhmTDiq+8dFTCuJgDCVDIXHGktptFoVp84WX0RYHBFOLCeBNBoNBrNeWIT8PVTCAAAATB4DtZzDLkN0J+g/lz8FZR90Ym2vRJ4K7AA/NpRhf7fBj6Mmnx4F8rmSKPRaDSaVzVaBFhlHFMV8YKjivv9ANB+YT7K+p3wy1ZAoAp4hgDPUtYynilIT9BnEKbKridIJYVMUHXUpEGQW9j4pqDkqJwBKVURva8odCNAqMK7kYsAVVc9ZxswFwgWQ7lk3zPoCaqeei5Fefw3I3UOBUs97luQxhBkap9BooqYlqFsfWQuNHTyNbj9aYF8KjPM1IRAkql1Wf3gw9xaqL9GG2hGgnaiTsc0IEPgm7ChqgSCRqiuYSrVOWSAA5SSHmlg0XbLZE4FLw1pyoSCmeEaBlYSU144TNScPeZ6rwxZdUx1vovFIdrFcVzXppIuYsmMKVwKns9EZpOlDZJuD9+GiXiGatpl3ihwwK4wLLqslU2iYIFS2sOKQ4RbwLBsbGIMIWhnJmm7iRd2KMddNhV6zIdjfOfJu/j6849zzSU38YFr38hYuUK9NsJHbv9p3vuG9/KD+77As1/8rwigYMK4nCfqmaSFNVCvE0ch3USwaBYInQpe0KI2txsBTI9fSuiqgr6ZxqSmzfzgJjqlIeqOT312F07UpV0epevXSE0bkSYMzO2m1Jqi1Jw8Zdd9arlkpo2dRLhBCydokVouUhgImWEmIQJIDYfEckgtl63XvZ1LXv8+AB749l8zfeAlBFCeegk77NCtjhKV6ksZAKWpXfiNKbzFU6/n1UArVlMmJVvd+/37PzlJn1EjBANJyVHf41YuwM321ASAFgA0mnNPnK2+HdDQChFAZwJoNBqN5jwRoJw8T8UGyMfXzj2/CNwK/AMp5T6lCZyQ9+afvyil7K58QkophRB/g5oG+DG0CKDRaDSa1wBaBFhl+h3/Rxfu4lQVxeuuIEglabYc4rsSzxK0IoljqqJ5JlWR+3jJnv3nkhQWQ2UFNOCp4NsgAROJA6RCdRlLlOc/QuCakqItsG0VACyQeJYAJI1IqPWmqhBZdpQ9UTdRhXtLQJxnDUz3AAklW63FMtWUQJy/tmQrK6FeoiYVXENNACRS0ksEtglhDLKYF9gNJSjULHX+UaqEBN+EkqXEgF6qxII4D0mteaog75lKJEhSweGOutkzkYsQMawpghDQ6LZw44TYKWA7Fj1h4mYpZhpgtdpUm12OlQCOClmVkPllZKWOJQW19iS+ldFITUwSZJQSFB2adgnbzojCDE8mNOOAbrvHguVQ93pUrTZmltLNDEwjw5MBIupRiFqQQTkC0Y2JM0gMFYpcDRs8F9rMOFV+8PwB/vj5v+D9F17Ix6+6kjX1IYrFCre97We45ZYPs/+BzzJ195+wuPMBwoUZrHZKtdhBFAr0bAcrkfTmZim1ppEoASA1bWoLe48onBe687TLoywMbsKJupSbk5Sak0RuicywliyD+q+xc7Ek40iRa+laJiFGGpNYDqCMOa3k2Hb3xHIw0hjPELzrV34PgG67wd/8t99c2kYAhcVJvMVJEq9EZloYaYIVtF8Txf8+RweJG3n4b5hIwpN4+ocp9HqS6a7KHslAZwBoNOeR5IhMgNX5KbRyEmC+HZJJiXHywoZGo9FoNGebZ4BrhBAlKeVxw7eEECPAlcD3z+XC8mOvA/4TyuP/D0/jJVflnx85wfOPHLWdRqPRaDSvarQIsMr0O/6P93d/L1F2H8Xczz/NlgN1YdnDux1Jqp7AQBX4ahb0jnOsfge/YwoOd1Tnb99OJM5Ud/y+liRKMxJguABZBkJIXBPGfCVWRGm+DgmtSIkUUsKaoiCVMOAq+6JWpASHoqNeF+eFxkakpgGCeDlzQBiq4D/dUWJBzVXHmeqpba1MiRWH2qqTuRMJBly1viBVtkJeLiKUXXXj+jYkMg9FzScoBHmyU349MVRGQphILEvlBFQctU3FVSKAa0I37iHiHnFiY0g1JSCJaTbUdEXfWmkl/ZBV14CqJ7BLPjU3odSeomRnRHJlx6dAhl0C36UlfKJwHhFG+CWfoaBHK00Jo4ieVGJJ0cgoGjGWKbCTENKYZgxmuiwUxa5Pq1CnG2b4z9xDtbIOSkMkbpFvHHiGr33/Dt6zaYKfuvGNbNxyOZbjsenmn2LTzT/F3J4neeJr/4PWfX+LNbWT2C4w5liMpgmLrR7dBCbXXkHolo8RAMivcak1xWJ9A+3y6FK3vxse+fu+b6kP14TMKZAIizBJibtdeis87UutKcrNSabWXE6peZjj9cpmQFCoMXZ4Bx/+6X9OfWwjAJ/9f/81jblj7X0EYL9Kw39PxfGCxE2hhK26ZxDL41sCwfJ92dZd/xrNq4JzYQc0VFkWAdJMstgJGSh5J3mFRqPRaDRnnc8AfwD8kRDi70gpk+Ns8/tAAfiLc7mwnE8AHvDx0/Tw72cF7D/B8weO2u645MLH8GmtUKPRaDSaVUSLAKtMlCpP+6HCsX7/nRgsQ1JzBYOeCr41RN7FvsLDez5UReihgqATSwqWCqTtHFXkc01BlEkW4mXrj1aspgiaoWTEV0X8IFVd2WECJVvQiJRn/oG2ZD6QS77/wwVVNO+lqlBftHJrotwDv+Io+51UqumBmqsKr0VHPWcZ6pwWAnDtPJzXAoQqvrdzt8heAsOesvRJ0gzfFvQSVdR3LSUaGEBqKSsbIcBETRn0QrWmYu7N37dTaseqkzpOc9slA2whqNhKSHDyznRDQslRgkuSQS+OaaVKfOjk2QJmbpO0kr5A45iSsiOwCh7zVoVSElI2M0pmSpRJEgRhJrBFhidSilnIrFPAdhyysINwi0i/zEjQoGymNDMDKQyGRELNtkmzjE6YEOV2TVZ+DRciqBQKlCzB+mAanALd3m467b0smCUaKAXljpndPPjlT3LzYIW3//gvs+0N78O0bAY3bufWX/0j3vDz/5EX7/ssz373U0w+/wBVG2ILFs0iXb+GG7ZO2D2viv4tun6NyC0dIwBU8/sgLddZcAfpuhUMU1CQESLoYTYaJPMzCPKQ3+kXadTXsVjfQG1h7xHXPAMWBzbiBw3+8dt/nGtvVtO5O5/6AXd+4Y9P+j34WuN4QeJ9JruS9WUYLx4/SFyH/2o0rz6SdPn70bZWPxMAYK6lRQCNRqPRnHP+P+CjwE8D1wkh+hY524QQvw28H+Whfw/nWAQQQvwc8Hbgt6WUz5zmy0r5584Jnu//8VM+xX5+FWUbpNFoNBrNeUWLAOeATiwp54Xm1lExSY0QPFMy01MiwYk8vPv7MA0V/ll1lOd/lKmO97IDlpAshMeGf0YpzKbgW5LxkkHZUa8x8+J5zYOpjtpvv7vYNlTB2TQktlSF9amuxLcFlqm6701j2aM/SdX+7NweKMpU978wJMIQNEK1v+GC6uDvROo8XRNsUxJmghRlSVRw1DRBJ1bd+kOFfL358ZZuWglS5NdUqKJzhnqta6ptJWpNoASQKFXbZ6hiq2cCGYh8oqCbqOdNodbYD/318oOuDFlNpaRsC4QBk4lJmpVxYslwFiKNjJqZUhYJsRRkQlI3MwwhSfBoZgZ+pwNGg06hSNsfpSJnKRMzKx1eMj2sdIFK0qLRXr5p/HyyY7Ri07UdyllAT0AsBSaSUTumkjWYSRxmE4us1yIqDfDccw8R/IePcUd9lEtu+1muf+8vUh2ewCmUufS2n+PS236OhYPPs+f+z7P7/i8yuXsP0rAw05O3k/czAjLjyB8lvqUEgE5tDQfL64icEk7UwUwTOoZPoVLFKFSJLB9nWk0ajBx6im6xzqGJq5gd3YbXW8RKIhLbIfBqFMMm//bNb+Wma94MwOTeF/ij/+MjyOx0GnleOxwvSLxPJ4ZDHcn6kmC8qCZ++pNGOvxXo3l1Eq+wA7KM1c8EAJhtBmwdr67KsTQajUajOR5SylgI8Q7gj4EPARflT92QfwB8CfjZ0+zEPysIIcaB/4qyK/q/z9VxV/BHwN+u+HrHeViDRqPRaDRaBDgXtGKwA8mgJxjwlL3HysJdO5bMtTLa8bJv+tEe3iv3YRuCbixJMkHRAtcTRInkYFdysH38AuCgB64lyCQ0Q1Xclrl3jpSq03+2p4rn/XUFifLUdwxBlIGZd/GnGUvHqDhg5rXKw101DSDzaQNCZQlUMFWXfSeGvYmkYgsMYzkrIcrzAoqWoGyr8zdFnjlgLYsLplDbpnnugcyL9UULuqkqjkeZ+jpOlWd+38anZCsRopR3/COXrZdaeZ5AN1FrTzKYDyHMJCULZkMlEPQFmiCRSGDQMxhwVVf+qJFyOEvZg4+bdVkjMupmimFJuplBKxWEmYEtDVyZUBIZtgnB4jxeOyEtVqEscawUN005tNgislsIehQstSaJujnKrvo8h0kvlfSkJJAGkTRoZwZVM2XYioikYC6NyUwbLAtTQHN+irs+85+456//C1uvv51r3v6zXHTjOzEtm/rai6h/8De56oO/yS1Te7j/mUd4/LnH2L/jXpLk+FXlNA/dNbIjW9J9S00AHCyvIzNtKs1DR0wUyEDiFEu0B8dpBwHl5hQGsPHFu/E7C8yMbKVVGVMZAEnMhtkX+I0f+xmuvOpNAOzf+RT/5R+8k+bC9Ol8C75mOFGQ+EoaIRw2JK4pMA0lYOnwX43m1ctKEWC1JgF818J3LLqR+lmsw4E1Go1Gcz6QUjaADwshLkF13m9GDXHvB74hpXz0PCzrfwAV4J1SyuhUG6+g3+lfPMHz/UmB1sl2IqWcBpb+aDlFGLFGo9FoNKuGFgHOIo554iL+fKDCePse/Sfq+D8ZR+/DTNXrgpbKDZg7gUf4SnuRg21VXLQNZaOTNSV1T1kJeZYqdvfXJZA4wsRx1LFTqexzTKHONc5U0dy0VJd+0Vbd+J6lzm8xgMVIMOKrAvZsoLzNF01J3VOCRJRICragYOUhu3nts+SoQnIzhGYEo746ZpJBEqt1JlJNFhgGkAIq45hekmcnuGodoIrVjgmWBUURY6AEDye/DvOhyixI8oJqL1XBypYhmAsyDrQlBmqfZUdQsgW+qY5lAIMiwk7nCAtDWL2MUBp0pESkECEIUgsM6IgKhbTBhBezEICUkkrQwImbmJGNWQArgIFWRLcgaHp5EHR+bqahxJQYCDIDKUwiGamcAAkgaKQmw1ZC2UiYMS1ElkCSkNrL2RRZlvL8/V/j+fu/RrE2wpVv/SiX3/IhJi66FoCB0Y28c3Qj73zzBwmCLk8//QBPPHkfzz73EAuLs8R2gcww6ZSGGJ58DmeFFZBtqGu74A4SOaVjBAC1SoHoNrHL4/QqI8jm1JIt0Nihpxg59BTt8ihOZYg3vuUneNPbf4NSbQSA3c88zO/943fTaS6c+pvmNcaJgsSPphVBz5BMdZV9lw7/1WheG9irlAkAMFh26c4pEWBOiwAajUajOccIIX4PWJRS/rvccud0bXdWm/eiLH1+5zgF+LH8858JITrAJ6WUn8wf24sK/V13gv1OrNhOo9FoNJpXPVoEOEuM+UIV5vNw3m7MMcX9vkd/yVad74nkZYd3rvT5P5HgcDTHsxeJVxQZp7sw4KkO40YoIc8lsIQglpIwEtiWJE5V4b6TqCK9Zaju+WakOu7rrhICRG6l01jRZzHgKiFhMVSF/l4isQ2oFwRhqrruu5EquluGqmcbQq2zE8N0T13bOBci+hbLXu7tn0lJNxWQWxe5psS3BJHp0nY8hG0zbEX4IkZkBmmaYRFjGmqawTahEajjZJnab5DAbDejf9WKFgwWBAJ1nTxTXQ/TAFNItsgFbCNFFi06UcJC6OAbCTaChcygWrBx0wDZC4jyzIMoy/3uQ0k3DilKg4Kh/PaD3LrIMpYnNLqx+togxoxCForD9LKUTK78hVaQSMGAFTNZcEmnDpB2O3R9cfxsisVp7vvb3+e+v/19NqzbwPi172brTe9j6/abMEwTz/O55po3c01uw3Nw5jCP732RJw/vZ8+h3aStKdqVUUorCvmZU6DrVnCizgkzBTLAjduEhcoRmQKm5bBu61Vc/Lr3cO07P47nV5Ze8/xjd/MH/+yD9DrNk9/0r1FOFiS+kv7PmSDVxX+N5rWEdapv7lfAYMVj/5yyLdaTABqNRqM5D/x9lN3Pq5Ei8KaTPH9t/vnOFY89BrwPuOYEr+k//vgrWJdGo9FoNOcMLQKcJYYKyuYnyb32hwqCsqMsfObzv8XLtirIrxQLSscRC06H0y38rbQXWer+l0eKAAAGkrGiYKgAjikY9lRBP5GCLLfhIS9OBgnsbylrIs+ESKguejMvVrciWIxUl7yVd67XXBjOrxEo8cA31XpKFoSZIEoltimpupBmyoIok+oc0gy1jkxNG8QZ2AJ6qeo873f0m8bytW27JWKvjGkajNPGFzEW0LMcMCRJCmTxEdMHiVRCS1+cCXMroXFfMOIL6p4KZ6676roCmEJgmRIj6FL2BD23SFYoksWSXmbTFOoxL21TjdosdHpMR2rSYK4nCTNlWWQbMOJLKo5QYcN5rShIlGgkUdfBMJQY0Aq7pE5EwxskDLsIoGSklIyUipVAoUQcT5GEh0jsk2dTgHp8dnIvO/76v/O5v/jvFMo1Nr/1p7jy5ndz3eXXUymqide1w+OsHR7nXf17MQqYPLybqb3P0Dn4ImFzBuI2vl2g3Qugs0AcB8RRiBAGhmEgDJOSZWDWxhkqr2XNpdcyVBtk3SU3svbCa7GdI/2t973wBF/789/loe9+9ocuA2AlJwsSX4lnCWZ7UgsAGs1rDNs0V23fK3MB9CSARqPRaM4Dh4ET/wJ7npBSnlCBF0LsATYAl0spj/bq/xLw28B7hRC+lLK74nUC+HD+5RfO6oI1Go1Go1kltAhwljg6xLObqILroCeIU9W5P+CpjvxTiQVnEwNVxHYMZQfUFwHCVBWFu4kq0NdcwWAB2rHAQFkDGUJ1xFccmOqqomQ3Ud3KSaYCfcdzK58gVQX6IFBF+lFffaSZEgIEalIgA1qhoBlKMiBMVLZBmEoMkd+QUtCvk5RsdawgVTZDvq0K/o4J3UiJACKfqrAM9XUrksxZRYadOkUyanET307IsgwpBDJOCQ0bTJcSINMYkb++YKoJBsMQjBQk474gzJS4UXeVkDPkKSGnYKkJgtkOzIcqIDhqd3DTlJZIMR2XgimZjV3mmh2MpIEr20R597YpOKJL3jaUYSaoxz1LfYhcmDBzIcC3lchRDJuEiy7dUolefZyJZJ5ButiWTWSWyOKIwuIk5XieqCiYC1Ro7ImyKY4Ole21FtnxuT/k4e9+lv+y7lLW3PBO3rRlA9dNbGDLhouwbRcAx/FYv2Eb6zdsO+v37wuP38tXP/27PPWDb5z1fb9aOR2xJkyVjZhGo3ltYa/mJMAKEWC2qUUAjUaj0Zxzvg68TwhRkFL2zvdiXilSyseFEN8G3gr8gRDiF1cEGv8bYBsq5Per52uNGo1Go9G8HLQIsIq0IlX4H/FZKsCfSiw426GeNQ/qrlAd+rEqypsG1CwoWKr73jEFRQcyqb7uJRLTEKRSFZyFUAHBIAgzSZSoAriUglgq659ODEgVWluwYCAv3rcjlRsQ5scdykOMEynxEBzuwGKY4dtQcwSdFHpdScESuEUoeao43ghVSHA/t2C+p2yJTKGK9nEG3UgihERKwWCtRNkWjMRNqlaMgUQgSKUgBUgTcCxSKXBQkQJh3mUv80mCog0jBcFCCPNBxkDBoGipa9jLr0HJAlFcznhIAC8O8KOAzLBxHUGxI+k0InomdAuCqqNsj/o2/lGmzrHqAAYshJIwVdMIa0tQtgW2qeyU7DwUecCTRJmg3Zim1IlYW6syUjQwDUE3hVq4yFyjRzzVYAGW7rHJjmS+Jyk5ywLDybIpBOAtTtKpjjLz7L088dCf87RM6WUG69ZfzNqJraxZt5W167YyumYzxWIFwzizTtcsyziw8ylefPL7vPD4vex88gd05g9ioESfH5Wu91MFiR8t1mg0mtcO1ipmAuhJAI1Go9GcZ/41Kgz4r4UQvyKlPHi+F3QW+AXgB/nnm4UQjwEXA1cADeCjK4QBjUaj0Whe1WgRYJVJM8loURCny6G8R9MXC4q28vs/W5RtVUCOMgBBr28vkkEPVeQedQ1SKbGE8rdv5B70mVSiRSMPzM2kEgJSKUgzZVlTd6EZKH//qiewBVRcQECULIcFdxOIYmVpYxgQpZKDHUnFUQV121ACgBAsTUN4piTOBOtQ+QRCqO5nEDRjNRlg5hMGrqmEgUYkGfENCgWbtmtTSEN8I8NBYCBJkWRS4giDgsjIMiV2WNikqaqoSgkVW3Xkl2xldyQlXDJoYIncpz/vyu/E6htIGFAv5OJArM6/7EKjF9OOwYzVOQYpGEIJHBVXMt1Vrf11B0aLKhthdzOjFanJjIqjHrPzmpFvSbqJYKqrroNhqPfBM3uU4hCnY9IKE4YNiZnGpJEkcNV72IpgbUkFGvdSFXKcSlVYb8Unn0JJvBJxqcZEZ5Jy0mEmsQDBnpeeYs9LTy1tF/sVRowIa3aG2CgxtHErxYkN+K6LmUlM28OQGRYJQSqZtSocXGySvfgo4d5naC/OkqbJ0r1btAX1kjhpzsYPK2cjSFyj0bz6WM1g4JUiQCdMCKIEz9G/5mk0Go3mnPEfgaeAdwNvzQvme1F/eh6NlFL+wrlc3JkgpdwvhLgK1fn/XuD9wBzwKeC3pJQ6FFij0Wg0rxn0X4erhG/lRUxXWf4shJKwoArxneMU8IJEKqubV9jxvDIwuB8IPNuTDBVUQX7lscMEfF8FASdpHgqM6uAPU0nZhTAVNHNhIIkltqmscGwT2rHkYBsyJEMFQcVVhf4wVR3uXt7qLlDHjjP1eMUVDOVP1guCkqMsh5qRsizqJZIghcmuxDaE2pelLJSCRCIRyiZIKuufmR6AZKQg8E0IDcFkViTNenimSSYlRVNgG5JQqv1lQiClWlwmVfe/yFNtfVPZIJmG6vh3LfAdVYTuBxI7hnqPEeqcTQG2q3IF5nrKx78fkGwK9Z54Zl8MkEz2IIglSR4s3I4krUTlCySZZLYncQ11nnM98G3JQgBT3Yx2DAVbMjhYZWLIomH5dKVNSIawAzpBl14rQqLEhCRTgssaHzxbMBeo9cUpZA44obp+JxICMtPCMQ3KMqSXGXDcqF+Jm8WkhsSNFjg8vZ+Du59FrNmIMTKOV3Bxow4ySWkKl3m3TrcbUpreQ3nqpSP2OOidH+usVxtnEgKu0Whe3azmJMBg5cgsldlWwMRgadWOp9FoNBrNUfzcin+7wI35x/GQqO7684qUcuNpbDMD/Fr+odFoNBrNaxYtAqwCNRcqjrLgsQ31G04mlS1P0QbLkDTCI1+T5p70Z1oeODp02BBqDWEuOliGpOYKqo6yE8mk6qB3TUGaQieVRJkqbmeorvVCqvz+kwxkCs1YBQgvhhLHgGaiOpN9W6ig3/zYmVSviRIlSgSpKqSTQSNQNkJb66pIXrFVEHGYgFUAmalcgrlAIoHZQHU+VxzBqK/sitqJZKarhIp2XsxeXxbUXOXf34skWQahaavJBUNgiIyCgAzBYmISAL5lYssIsowsgzhR9jixhMVACR2GUGs3UEKJJWDYU9fINtX1Evk5C6mmBpIkD0U2YaSgpis8E0Z9Zbu0tymZ7EqQUHUFjqmslwzUvg0BM11JLCVT3X63vvrcjtX9NFcdx6rV8L0U4ghPpgTCYsEfJbQSsmSOwuIUNUewvqymGoq2ynQIYmV/1LdW6ls9nciOSqQJwjRJ3SJhliKjeEXRXlIyMopGguNYuDKm4iakvmA+kDQP7aHT7dGsjZCWqiSGTZRkOAsHqTem8BYnjxAAyrYSAM6HddarFV3412h+eDhXkwCgRQCNRqPRnHN+/nwvQKPRaDQazYnRIsBZxrdU8d00VPF30BW0cvuaXqLsPfrd2Su78vuWJ2diKHi8zmnfggEXeqYglkp0SDJJIffVN/NifyNSAb9G3mmdZP3gYLmUF1BxJGEqcFK1RuVLriYBYqn2txAqMcAUqgAeZ+DZan0SVRiXLAf81mwwTXWdzLybvptAZqjzqbiC/S3JVFetPcjDlRcCyXykCv997Dy8uJ8HUBYxm+QcnutTSDOKRpYXmiWekWJnArDoCgc/6+EQk0i1NoDZnpqYUN796loZEtqJCir2zPy9yoWUVEKQKZEkSSHKRRBQgpAQfdseZcvTS9T7Y+ed/qD2UbCg5kDdE9Ty3IBuot63KFWvGSkIknKVZKDGoJ2SdprEmUkoBRGSVtoi9uuI6ihWHCLiRUaLAilhIRBK4MnU+vqWUGSCmqvWttKOSgJBbYxOdZRedYxm2cTzZwmCFKfXwOouMmAm1K0Ex8hoOi5Ws4ERRwx4AsfMu/YXp5CLUyReicy0MNIEK2gfd56gP71ytADQZ7WsszQajeZcYFurJwLUii6GEGRS/Wyc0+HAGo1Go1lFhBAp8MkVtj4bgMellF86j8vSaDQajUZzArQIcJZRRUxVXC/a0E0lMlHF4h794rLqsO+sKGJ6lrLtebldvyfqnM6AhUgF11Yd1TndyT3V7RX2Ip6pRAukxDOgLZVvv2NBkgqiTC4V/4u2Ks5OdlRBvmApr/2+P347P2fXVAXycu5lLvJqb5zCsA91V3XRt0LV+S8NdUzbVBZFcd4Vj2RpYiLLVAFYCnUuR17zPDxXKDsew4Cq7CClIDRdhEwwBISZsgQqmRlNYWBmMT4SgRItQBXyw1Rdm1jmnf75cQR5iK+AVqIK9kaeExDkHfrzofocZ+p8hFBZAYfbEtdW9kAVBwqWQS9VtjaWAUVH7dcQ6uuSI0izXIgQAsdUNkiGkEwXygjbxY8mKZgZTQG9xMEU6rrY3UWCyjCBX6XQXcS3YLqjpjIa0bJAYRnqPSm50A45wo5KAq3RLbRHNhEVyqRxRlvaFP0yPcciLpQZtA3qwSFMYMYdQoQxbq/FYqgmRI7u2reD9knvZcdUawiSkxf3z5Z1lkaj0ZxrLPN48ufZwTQEAyWX2TwUeLYVnuIVGo1Go9G8IgRH+oT+W+CTgBYBNBqNRqN5FaJFgLPEgKcCc8uO+k2o6qgC+mIoiVPVZd/35A9TiWepInGcQtlRj3XOoLP5RJ3Tcap83wumwDUlRVvQzYur/S5634KiJcgyEAgsCwYs9booE1QcsHO7oAxVhA5iZR8TJCrktuiwZGUzF0hKjupwr7hKYEhym50MVbSte+q4rVAVpB0TirllUpp30Pftc3xbULIlYaZEkoVAIoS6Xq1I7afqCAY8GPJVl34qVTe+yAIWuxapV6JpF6nSwyIlzEwawqFEjJXEBGmsgozzwn+YkAcpq8d8WwkQicy9/1Gd/kECkalsg4JUnUecqY80UyG+SSqY7KhC/0wgqUl1rc1MUDchzkUJISQDrrIEsvJfpYuWOn5/cmLQE8wGkpZwcPwCpaxNwUjxRUYqBYGREmYGZSOjlRlYUQ9RKOJmDkkWY5tqAiFM1TSIayqxysxFh4IBiZQcyuv0QW2M1sgmwvIQZCmJ47EofIqORcmWLDglTCtEdkNmUgsr6jHUmUR2GksB1C+3a99AracvUpyIV2qdpdFoNOcL2zRXdf+DZW9JBJhr6UkAjUaj0awqXWDkfC9Co9FoNBrN6aFFgLPEbE9S8/IA3QyakTwiBLgRSaqOoOoo33iE6tIXtvLonwtevsf5qTqn+/ZDvsVSPkGc5d79wJqSwDRUIG3RFAj6WQLKB982wRWSVixYCFUIL0IwXFDF6TBVXfSuoaYCgkTSjdXzAmWf04pUMbviqMK+gfo6QRV841T99mgJ1QmfmWq9pgHDNvRSAVJZBc32VG7BoCe4qC6o2ALPljiGYKigXhckIHOxxe61IUuJXZtZ22HYTOhkgkPdjEIc48QhqVTXwzaWpxb6Qb+WgTp2rB73bHWuYX4NM2AuUO+lRE0QpLnVTpIX1Tsx1Dxlx+PZAt9SUxKtGCxT4prKBqhg5aHDue2QlGo6wEnANNX1EAJqBUFqpkSpqpQLIBFQMRMa0qIrBXUroytDDENlRIh8kqMZSSwBZUdgG+p9SCWYUgk7USqouZLDXehUR2mPbgYpSR0fK+rQa7WZ8y2GPMGE2aZWsEhil4GFg5SDBrLToBEeaXP1crr2M/L1nKJR9pVYZ2k0Gs35xF7FSQCAobLL8/m/Z7UIoNFoNJrV5RngNiHEbwG788cuEEL8zOm8WEr56VVbmUaj0Wg0mmPQIsBZYrIraceAqpMfE/zbCCFOVUd+zVGPJRIaefDtmYScnqpzOsogSiU1RzBWFFRsiW0alB1wTEnREcQpTHYkBzoS11QiRclWAgASIgRBAofbuWc/SliwhSo+hyk0QmUJZJmqUO9agrqhCtmukVsSuarQHaW53Y0FmaeK4XEC7dz6puqA76gg4lSqrv9moMSJsqMCg00hqTgGRRskAstU3f8yL5ZLVJFeSuilPaxuD8u2CfLtOnMRh0NlV+SYIIQgNdTXlVykEX0RgDzYOVMiRtWDXqTsfxKWpx3mA1gM1D3g9a2SBFQcJVwkUr3/BU89txBAkArqrrrevUTZGHmGuk4G6lwK5nK4ctUWSCmZSSWuadCObHpIehI8I6NgZkwlNlEGri2oEdCLlQVRkF/PuisQgiPuNyN/H4NUXeNF06czuonEKWLGPbzGcnhvO5IIESFLHqNmFyOJcRpTdHrhEaJXn5fTtR+lSnAZKixPrRyPM7XO0mg0mvONtYrBwACDleVwYD0JoNFoNJpV5neBvwL+zYrHXp9/nA5aBNBoNBqN5hyiRYCzSDuGxVAVMVXp+Ei6CXQTiRCCdiSZ7kmC9Mx9zU/UOV20Vbf8sC+o2MqDv+yAIQwSqdbYitQ0gGvDYEEgkMzk6+klqttdIBgrqjMpOoKqpzrmQRWmZ3qCIJYc7kimFzIGCwLfUhY47Ujtd8hVxWwzn0KIUvVvzwbLUkXu6QAWukow8D3ViS9NVRBO8uL0bE9iGjBREtRdNT0xH6hrnWUwLdU6C9ZyN79jqsdMA2wR0wnUe1A0BaViLjZkcmkCYiFUExAVV63VFGpNGaqQLlHe+RlqlENKyAR0kr64oWyQaq6kYMJiBFIKmlH/vVf72FyFIU/lB/i2ugZBCr5Qnf0lWxXNk/x4piERqK7+uXaMEXVplwYRaYCBgWOkCAlDRkJkCdqZieMZJI2QuWakgplzAcA2OEZwKjsqfPlwR+JZAt8yCIsDZJZNYfHQUQG+gpZ0iVoRbr2Obwn80EL0jl9serld+51YWWr1LZ+O5pVYZ2k0Gs35RKB8+1eTofKyCKAnATQajUazmkgp/1YIsQt4L7AO+DngJeC+87kujUaj0Wg0x0eLAGeZUxUxR/y8e9yCUV/5wHfzwN4TTQM4K4J8VwoGx+ucrrmwtiQY8wWeqTr6q7k/fwpEkep0N8Ty/ko2VGxVZO7EylZHymXboKIN5UQVdPsiAAIGXWgb6jjPLUj2NSUDnsoZmEugF0uMisCzwEpVgR5U17mR++t7FlRtCGw1SWAb6vleCofaeWHeVOfYiCRDrqDmCRZCyYCnJhdCqYKMM6kEDN9WhX/DAA81EdGOlLAhUbkEjqUemw8FI4XcDkioa6RyDSBNlbDTitUkQJwpq54kE0sWTH1rhzhT11PZLym//YKERqCK1n0WQzVVsbakhBBbqPVbfaEE6OTn3MtDkp1UULTUe2MgqcctROZgliwIe8QSPJFhGSlDNrSsGtM9gdXoUUnzsGZDYhtKBPDMZfGobEOQCGZ6Gd0EQFIoOliOTZTGnKhcFWKxkDn4tk1oOHgn2O7ldu2rAGHJoCcY8NR17q/Vs87cOkuj0fxwIYSwgH8E/AxwAdADHgD+g5Ty7pexnw3Au4B3AlehvI07wA7gL4A/llKelbkjyzQQYnVFgMEVIsB8KyTN5KoLDxqNRqP50UVK+QjwCIAQ4ueAe6WUf+e8Lkqj0Wg0Gs1x0SLAWeZkRcxhXxWHwzy0t//4UEFQdtTr5lc07pVtFfzr28sd1UcLBitFh0zCiC8Y9FRLeZiBkdvVdFBFZNNQokKYiiWrmXYMTm5DEyRqXyIPp0VAlKiifYo6PiixoeLm3vW24CJhsKchmQ+Vp7wpVCjxUEHiW4JSfg5S5MG9qKJ5kuVFfh8coaYDFiOY7sJUN59MYHm6wbNVkV8IQclR+0qkKtibrsoYaMdqnzJT/+4k6tzrLhQcda79Tv+JErhCnS9CCSCOoYrzgVBF/76AEKdquwFPYuTb9sN7izZIKUkzQTdWIkLJgplM0kuOvEcWI4kbKCuguZ5EGII1RXVtmqF6T3r5msMMfFNNKJQdiSEEGV1aPYueV8XwigzIHmWRMpsWeN4a5FDgkMxOUZxdoAWsKakpAMuQBKmyKVIZCJJmJJjqZkx21dpSCWYWYUc9pFfLZx6ORSJYsCsMtudZY0SEx9nmTLv254O+dZZ6ry1DrWu2d+bWWRqN5ocHIYQNfA24DZgDvgoMArcDtwshfv5l+Az/Jcq2IAIeBu4GxoGb8sc/LIR4l5Sy90rXba+yFRAcOQmQScliJzxCGNBoNBqNZhX5beCx870IjUaj0Wg0x0eLAKvA8YqYrqmK9I1QMh8ud/aHuUVQ2VFF7jhVRc5BDwY8gWsqISHJji8YrBQdxnIBwDFV0d42VUE7AdJEdcR7eeht2VVrNfMCeDdets/pxDBYUB3x3RjI/fH7xddCXigvWhDb6nxtQzBezIvpgGMKBguqU16iivRYIKQqaEtUiK5ETQDUDRWAO9uDuR7MBZJMLgctd2JloVO01eRBlqlrl0olArRj8CK15l6i9h1lqkCfSXW9UwmeJZGZWArhNY1lgSPJoJi/J0Fetxb5dEFnRSE/SASWUI93E1XoDlJ1nkJKUgTdjsoXcIxjraF6CcSZeo0wBK6hwo2TTAkLSZbvN/fQyTK1jpItiDM43BWkQQsZZfTcAn5BIAywRcpQZ47WbIBsztNf8qG2KvpLIE4k/ZbWbgzNqD8BsHw/pGmK015A+INExQGczvwRQoAEotIA3cRksROzJknPetd+K4ZWLE84BaPRaH6k+WcoAeAx4C1SygUAIcRtwNeBTwgh7pRS7juNfR0A/gHwaSllo/+gEOJi4NvAm4F/CfyrV7po21p9EeDogv9cK9AigEaj0WjOCVLK3z7fa9BoNBqNRnNitAiwShxdxBzxBb4FqRSM+sud/UECvUTSilTRv2gDKKsbQ8B8cGQB+XiCgZoekAwVBKbIC94ZIFUB2cw7qckftwywJAgjD6RFFeZT1LqMXLRIUiUMLIbLBVgnD9AtOctWQr0EwlAV09081LZkS9aUVHivEBBkyhLIywOHJarYHaXqWLatOu1bETQjcM3+9VKTE2EqCVPln28ISZSpgNt+SSXM1GstU3Xgx7kFkCmg5ELPVNZDvUgQpDDZUUJIQUIrVedatPPJiRQiuWxXVLCOFAHiTO1zqivpxnC4K5U9UJ4hMOwvWxMVbcGIr7ITEtT74ZqCbixZ6GXEUrC1LuhlebFbqnNJMjUZYZvKEqidQsVWx3fzSQY36lDLOripTRsYdsCKIjIJaUnQilgK653pShJPCRVzPSWwxMcx6vcsQbvTw5zei10ZQwJBbQwz7GJkCZlhkbo+RtjFThM6k4eYWejSyydWznbXvi78azSaleQ2QL+ef/mrfQEAQEr5HSHEnwK/BPxD4J+can9Syp88wePPCSH+OWpS4KOcBRHAOjrAZxUYqhxZ8J9tBVy46kfVaDQajUaj0Wg0Gs2rHS0CrDJRXkgf9FSRuZB3SKeZKprXXVX4twxVSPZt1VXvmuIYAaDPSsGglVutdGNohpKGrTzrE6m6yg0J/orwYAkglDAQJarYbOb+95mhnutnDRTyIrxjstQtXnag4kGWqqJ1nBeTiza4lmAxVJY1A64SCwqWspMJU1Wgd/KqfX9/hqH20eupbm/LgKqjhIA07+CvOhBnSvSwLegmgk6s7Ijs/DwAmrF6fbkEJVPtTwCNUE0SCJSnfi8VFGxVTLcNJX4UDFVw90xV/JdSTRIgoWCDGSkBxTWgbKmPyBEYBhRjZbvQiZWQUYiUXVK/yG4ZUPfUG9BL1fuUSdjXgiTLGPQM0kxNAiRSXaO+SBTnEw92vq4s/1hpD+WYMbX/v73/jpMtv+p778/aoWKnk2bO5NGMhBBJiSCChGQEAowkbHMBgw2SwcIIuHAJ9mOuQYQLwkQLIx6wCRIPmCB4kAhCBoGESCKMNEgClEaaPCf06dOx0q69f/ePtau7Tp/qdDpUh+/79epXdVXtveu3d/c5Vb3W77dWBWoBZmrGTV3f70zVr8nFVqBTrlgY/Dy3arrbXLhE99JH6U6ehZV5+vVJiijBipza3OMQJ1QXL9NcuMRyBsuatS8iB+Mz8NI/D4YQ3jni+V/DkwAvZRtJgC3cX97etsvjAAdTDqheSWhUE1pdf2O8oubAIiIiIiIigpIAB2Iqhemqz8Je6F0b2O+UZYNmqsZSby1IO2g8u5FBwqASe8C1wAPIWVliZ9AHMC88SD5V8QB0Wfoegu/XLaCKz+C/2ILZViAt+wMUwYiiQBG8AW8omwFb8GNlZdmaxcx/kaYqcPtkRBp5eaJ+4cevx77qIC9r9NtgfGVz4G5ZvgfzZEJezoYf1NvvFj6emxpGKLykkhl0cl8tMJH6iorB990c2gHaWdkvIAxq4MNK5n0ZpstrF0VeIikvG//mhV+LfrlaoZ15YiA1XxXQSHwFQS8AUSDLYTL1YyZRKBMOYbU3Q1bAQjus1davVKg2I+Y7geWsTa/wIH019pn07a4nEhLz8kidHvRDoNmosBxgNoMsz8hzL/M0lcJNdT+XvIC0/P0pe/xyqubNgC+2AssZtLLAZGXrpru1+QtMVpsY0KtPUlu4hIWCYBFFklJZucrEpY9Sm7+w+jupwL+IHIBnlrf3bfD84PF7zWwyhLC0i9d6cnl7YdOttik5gCQAeF+Ah7vLAMwuKgkgIiIiIiIiSgLsmcmUDUuf1BMjjYzlDRqkrmQwXfGZ/Qtdbzqbb54DIC/r5Q9CCr3cg8DN1Gd0R94bmCTyoHI/+Bj7wWe5F6zN4k8M5vow3/GgcNaHR5fgbN1n5DcTmK56ELwAVnp+romVM/YL7yFQBE8ERBhJ7GWKTpuX52mWJXoi89ePy1r//TLg30x9/7mOB6VvrkMr9yB8r0wkTNf8tQO+WiIxT0LUYh9rLfGER7vjr7PQLXsGFIE48iB7NfWkw0RlrczPcKmfXr42RsPH1c09+J9GUEnKmv65N1de7AXa/bVETr/wH1zAjx/lgamq0a81KWpNikqFHilLWZWr1UB/7gpPrFxiphbIg69QaPWgG6CbwVJ1im69ye2TfWaJ+XDSJOm0mewtMtNf5nTNr1cv9/MK+BgLPOHSzz0BBXBpNnCh5UmKrZruGjB58QHS7gqt6ZvpTZwiRAlW9KlcuUpj4SK1+QsjmwaLiOyju8rbR0Y9GUJYMrNFYKrc9n038iJmZsC3l3ffdCPHWO8gVgKA9wV4eNaTAFeWRrVtFxERERERkZNGSYA90kxttTTPsErspVwWu8Fr0m+wfzf3Wv+zbQ/kblU6eFAOZlDW/UzNg7qGeQC7rO3fSPz72LysTaVsaLuSeUmbSgxzbXhwqeDiigfAi3I2eS32QPKjSwXnG8b5pq0GwOPIZ8MXhScIkthL07R6HpAPZU37Xl423K348QrWmgcn5uPo5R7oT8oyOK3MA++TVZ+xn+MrBryHgDdJXu77jPZ+AZ3Mm+zWEy9zM131APpgtUK7770Spqt+/E7urzlVhVoBncE5J347GHMj9X4F3cyTAXHk413pBWY7a0kN//nBTMXoVnzf6dRYzvxnZBNTpM0pkjQiyvss5z1uSYyLN9/MwtQM1aUY610gMm9aXEu8zNNs8yz9qXPM1GC+WCKEwGxRoz9xhjP9RaqdJyhYYKksnTRVgdkOLPR83BNp2V8h8j4EvcJ/W7bbdNeA+vwFavMX6NcmKOKEKO+TdJYV/BeRcZkob1c22WYZTwJM7uJ1vh14LnAF+MHt7GBmNwHnNnr+oJIAZ4caAc+qHJCIiIiIiIigJMCeGS7NMyzCA8/LWcDMZ/uvjFgxUE88eLzQDSSRcbZutDYpCVRLjNl2oJf7DP/TNaObw4cWCm6bMG5peCC6EvuxMa/j38ED3UnZFPhSK/Dh+cBse/3x4XInlD0DfCy9wpiswOlqWa6nXEUQm68qmO96aZpzNU9knKn79VjO/PUnEn/dblGuUiiD7/O9te9P1+BUfVDrfq2nwFIfOj2fLW8EsgCPLAemK/76S32/Fo0EwOj2A5XE+yNUYz/2cs9XE6TlKoRe38dVjf2c8+AJgiL3lQvVsodBkcCppOynEGC+ayz1Cua6cHPduHMCksjL7tzcMOLIy/9cXAksVCaoNc5QMSiW23QDTMY5d1qbW4sFLtVP0a01iecnKbrLWBQwjMZEk9NT03QssDTfZrZIOZ30uN2ucqGzTDLRgIkpsk6XIutQj/26hrKnQB78ekdl0iOEQH/d7+Z2y/cYkHaWt7exiMgRZ2YvBl6N56C/KoSw3XJArwRetdGTB1UO6MxkdfV79QQQERERERERUBJgz8S2VppnWEFZ4z6HoheYrnh9/V5Zfz6OPGgbAsz3AosZVCNfFTBZ2bqBK/gqhOFGwlkeyHLj7sgD14OmvCsZPLHsTWLzAgI+o70IRiO5vj78g4te876ZQlaFW4IH4fvBg+qtzI8/kQI53D7hKxIqqdeyLwqf9d8oS/10C8gyL3XTiIHYEwCLXU86RABWXo/EywHF5aqDTs8D+nHk1zQ1Vq/jTMWopdDO/Nx6eWCy6sH/maqviChyv6Us89MrfJa8RT7OTvk69bL+f2ReSqefe8mhqEwcLPd8lcPZekQSFdQSLy3UTHwlQTVea7q80jNsqsFyWqW9tIT/cwve46DSoxkVFNkcH6jcznLS5ZbWElkBvSLQa07Sjhs8cbXFw70JFvOIj6l2ubfa5smVLpV+G+pN0mrKBB2f3d8pkyeRj3+wwmIlC7TLhIeIyBE3yEg2N9lmsFpgx/0AzOz5wG/gb0kvCyG8eQe7/zTwhqH715QiSrZa4rdHzk5pJYCIiIiIiIhcS0mAPTJcmmdYL/fA7Nm6B+mzPJRBew/U5gXMl7PeL6yUgdsc0o43192qgWsl9iD7cCPhVt9n5T+yFGjnkOKB6TzAE61Ar++lbAbHXs7CpvXhl7JAr4Cb2kY/BJZ7MJUaSRw8MB9guu5B+SLAxRWfbU/uY47NZ+hXyubA1TIY3+779gEPVp+ve9Sll3uTYiJvQhzMmw9Ppr6qIDbvJdAqH6snMFPxsUbmSYnzzbUa+UWANPHVBoNgfjXxBEQv9/FMVz25Uk1YLafUy71fwIVlT1KkcVl/v4CJSuBMLWIlK0sIFRDl3k+hWTGSCG6fSblag07WJSsj8DULTEQ5CYEe0C0S0qzDleo0uS0yFfUISYWHo7NUu8bVfsJi7ks5PtitsVJE3Fnp8JRqG/p9OlGNouhwsZWtJoziMokxiDfF5is5OmrcKyJH30Pl7R2jnjSzSbwU0PC222JmzwF+F6gB3xhC+KWd7B9CuARcGjreNc+nSbyTw92wM0PlgFrdPu1en3pFH/dEREREREROMv1VuEda2cblVVaytZn9nRwWe8GD8oUHkGuJB+5XhnoKzHUoEwabN3AdlBvqD2Ug0shnpLf75RcegI8jn9meldt2+oECmOsG5rqb14evREYnh6zlx7ncCVRjnwFP5L9ISeQJgKsd7wsA5SqEcjxp7LUVljMfQ4EH8bOaXwcrZ+Iv9z2wH0drjXmbqZccaqZeeieJoJEE0ghyAvNdowhWJkUCqYElcLntM/vTxI/ZLdZKDFUjbzxcxH7sIqwlDtJyhcZiXl6TsmcBqysbjFPluDu5HzcP0Ol7gmKq6gmaqgUm6UFU0C4ialFOLepjUSArIjICaSWiX7mJxbTGSr/HdApZ/WZW2m2acYdqP9ANBkQ8ltWY7Se0Q0QcKszENe7pzV/z88+Df0WRJzW6eeBqJ2y7/M9mtuojICKyz95d3j57g+cHj38khLDtlQBm9kzgLfgqgv8UQnjtjQ9xtDQ6oJUAQ0kAgNnFDnecndhgaxERERERETkJTkQSwMwi4NOBLwI+B3gqUMdn7P058BMhhL/ezWusjGgKPLCUwal+4JaJiMmKB/+z8isEuNpdm9m/fr+tGrgOyg0NVxmIbG2VwfBj61cr5GVvgAg2nSVeiX2m/EoWiI3VlQzd3Evv1BKj2vCyPp2+z55vlIH8JFqrQtMqyxDNtb1p72TqQf+AB+EpZ+DXEg/GEzyAn6T+eLds2FuJvQ5EGnn9/W7f6BTec2EihisdY6rqr322DNRXywREEvkYA5BEvgJiOTOWex68j8vzrad+XZLYx9kaaohciwHzn10cQQVPEmS5X8d68GRLowpmfWpxhcwCGYHJuM9UXFCPAoRAvV6n36xTi1O6LbCioENKpV5jsTKN5QXWWy4bErhuiJnNKpyq13goK5jpwKnIr1NWJiMq5eqGTh8ebgUutjb+/dyOydR/7o10rSl1K+OahJSIyAH4S7xZ791m9pwQwjvXPf/l5e0bt3tAM/s44A+BaeB7Qgg/vBcDXe/gegJcmwS4sqQkgIiIiIiIyEl3MH+Rjt89eLD//wPcXX7/RmAR+DLgL83slbt5gc0CoWdqUE2MInigPCsb6k5VDDPIy6atUxUPQK/XK4PLo2ZeD8oN1ZK1LEBRzmofjjdUY6NTBrIH4hGJgfUmU7ilYdzSMM7WjHr5Ou3+2kqGlSyw0i/HWCY2lspSO+0yGQCw1PVtOjlcavmKiNk2LPTAQiCNPTmw2B0E6aETPAAf21qz3mbFr1U9haWueVAeowjeyHi6AgtdH0e93KdX+AqEuXZ524E8GI3EqCfeFyDCkyWDxEi770mHeuJJiHYOBE9cNBJPKtRiXzUQCk8iJJEnEtIE4iLjLF1qcaARZ9ycZpxNMioWyEPEclynX23QiAO3LD/GudZl4l6LZHmexuIlkkqF1uRZOs3T634qxkKRsJROUOsscWG+y9VOoMCTGqercHPTx9YtAq1dBunP1OB805tVR/g1ifASV+ebxunaVkcQEdkbIYQ+8OPl3dea2czgOTN7IfA1QBd4zdDjt5nZ+8uv24aPZ2ZPBt4KnAX+awjhe/dr7GlyMB+5ZppVoqFSROoLICIiIiIiIidiJQAeU34r8F+BPw4hrE6LNrNvAH4KeI2Z/UkI4f17+cKTqdfejwweW/aXTcvGrfUkcHPD+PjTMb1pr9ne6sPVjs/c3u4M6+FyQ0s9TzJ0c5hJvBRQM/Vms+3+tbPBa4kx2964TMyZmo99IjUK/CIOGhl3c2j1A0s9D+JPVYyZqpefScta//3ggehOGdgHL/nTy+FcDTp9729QjY2zDfOGx5mfh+Hn0e5DLfJAfL+AStlDIMNXCZxt+Gz3NPYmxvPdQBIZUTnjP048QTMojZSYJ1p6fb9WtcQbJveCH79WWQv8p2XvgoAnIOY6nvhYDjA59NxgFUFivl8OrPR83GnepxH3iKoJeTejVxgZRlEY3XqdrNqk1c2Jex2mkz79vgduks4ykyuzfHDyXhZWUqaWFlZXVATg0uRtWHuJmeV5Ehs0hTYaDT+n5R5caAXmOn49zje9z8TciFjQZitNhn9/B42nB1p9/707UzOyXCsCROTA/AjwAuCFwIfN7G3AaeD5+NvH14YQHh7aPsVXAA6+H/YbwC14w+HzZva6DV7z20MIs7sZ9EGtBIgj4/RkldlF/w//ipIAIiIiIiIiJ96JSAKEEB4APneD515rZi8tn/9S4Pv28rW9dI5dE0DNCpipwm0TxnTVaCaBK21PAJyqGqerXlP+wcXRQdv1lrLrGwn3i4DhM/jne4H5bmBlKEg7WfFa8RuVMRoO/l5sBfJgnKoa7SzQxmfbVyIP/i50fWb/qVrwYH8wAtDqQZ7AqarXp5+q+mqAShzo50ZWBBZ6cLYe6OUG5eoFw4Pq/cID/VNVn9UfzGf/L3TL0jwGlbLhcCsz0oo3RO7kQF4G+3O42vMGw4OJkUsZLGeBJkYePKFxpR1oxEYz8dfp9sv9C19JMFPW1yfAUt9XE1RjTwx0ck92WOSlkMDH3kyh18mIkhWSSpNWtclKkVMNOXNxg0ptkkreZamd0e90mY4DDeuTm2HdZTpLS6xUCpZvvpek16HSWaKIU7L6JGl7ifalx7k6d4UsNe/BYN7f4YEFaGWB+d7gpzk6WL+dEj+jfn+v+d3r+e9JM/XSVSIi+y2EkJnZFwLfAnw1Xuqvg5f0eXUI4R07ONxgqdVEeayNfA+wqyRAekBJAPC+AIMkgFYCiIiIiIiIyIlIAmzD/XgS4LYtttsRb1LrDXiHNVO4qWFMVIx2H1YyIwRo54GlzJsBn6oa/Qm2PcN6fSPhXgHzvUA79wB6lnvQOjZfAdDNR/chWBvjtcHfdt+PfboGoWzAO5kGqolRaUEtKejmERMVbwwc8KBwXsBk6omNbjn7/mpZqqfdh0BguWe0Kv66eeH7DsoBTaS+7aAXQNb3WfZJuZpi0DugwFcfTJXHqSfeiDiUdf57ZZ3+xGCu64+1y/4DcTmDvwDaZW0kK1+/mfr3aeTbLXY9kTFVCeTmSZKJsmfBIAEwsFIG1BuVDtMUtELO5WiSZhSTRAWtrCDOOjS7y/QiIxA4n2YsFjEPZRUWry7RD49Tm8iAQBGnWNFn4uJHaCxcpDZ/gWU8oVGJjUoEV7rhmpJPA+uD9YNVHl4myssoxeYlfiYrnlRazkb//q7X6XsZokHSBdRAWET2Vwghw1cE/Mg2tn2QtfY065+7e08HtomDTAIM9wW4sqgkgIiIiIiIyEmnJIB7cnl7YS8PGuGB1f66ovv1xJhKjaIsdzMIMA/CAysZJGZMV9jRDOtRjYSrUVid7Z1EPtt7th02beg6KnmxksHpWmCyEtFIfMZ4EXyMZ2oBLKKXB0IwTlV9dvypqp9rLQnMd43HVgIXW4PrsZbsGMzS7/ThSscD+RNlY14zXx1QlEmDq114ZDlwvmHeE6Dns/Arkc/OTyM4XS9L8cS+MiAEr+EfmZ9HbL4qYjkL3DMDldR7HdRiP6964oHrxLz/QIQH+LOc1fJHl9twUz0wVbHyWkG3rJU/SFBc6fjrp53AqW6PbhRo5Tl5bFTIaU9FdC2lmUfU4oKJqCArIh7s1PlQr85inpB2WqStB5h59J+I+12ivE/SWb4mmlWJ/TUXe6MTAAODYP2Z6vZK/ESEkb+/6w03mFYDYRGR0ZJ4ZB5iX5wdSgLMLnUP7HVFRERERETkcDrxSQAzexpeSgDgTXt57AIPgg7/3Z/G19a8Bw8YF+sa9HbzQCOBc3UPbi/vIIA6PPO6l1+fGNhqZvao5EUzhciM5V5goWtUY19ZMBFDwEgNFjKjKMsQpeXjscFs21jJAvPda4/ZzaFRNhruBy/900g8AVCLvfxOtWzamxWw2POgehwZVtbkP1v3a1crewYEykbJVb/21dhnyUdlMqGZBq50YKHn17caRdTKBEGv8GM0ytUBaQx57qsDWn2/bgW+WoEQWM4izjfLpEXiP9dW3wPe7X65yqMPVyszXKg2aNSqPB4mafWNpL1Ird8grdXIig5xEbhiCYv9hPd1GnRD4r0P6pNMXPwI9YWLo6exbvDzGmUQrJ+oeJ+H+a43Y16fOBisGqgn1//+jjII9s9UYbKy+eqC7ZS3EhE5jsa2EkDlgERERERERE68E50EMLMa8Mt4o8BfCSG8axv73ASc287xe7kHpM/WjVY5q34QsA144BS8qe3iUIC8nviM6smKEUceAJ/v7m429U5KsoxKXtQToxIZVzperCeJPEERR17K6HLbVw8sF7baqLfTh0eXyka+wYP50xUPtueFB+6rsb9WUQSqVW8uPLhO1dgb8kZANQWCz8I/VV1bJYDBZNmMd6Js99jJA5c7Rhr5aoUk8hUAnnTxXgRZDqcnjIVeYLEHp+vG5FBpoGbiM+w7fe9BsNL3C5MXnnhoJB7Mudrxn1sUQcWgGsFC8D4K812YnTxP+9StPKXR4XSxzHK3zURaYaFxE/NWpRXVqVZS0uVZZuKci1mFbogJQGfmPGl7icYmCYCNfl6jxGXpolrdr00t8Z4Inb6XexruGdHpe4KgX3jT59YmJYFqiQf9JytqICwispGD7QlQXf1+brlLXgTi6OBWIoiIiIiIiMjhciSSAGb2S8Cn7nC3+0MIX77JMSPgdcCzgPcD37DN474SeNV2B7GSeQB0suIzrAcBW8ODskkC/dxr9INvN5kajcQ3ygoPdu/HbOr1qwOG7w8nL9LYA/aDMYKX3ZmueID/StdL4Vh/7ZwnzMvCFL1AFjx4vtTzWfnV2Gfe9wsPsFeSQC2y1SB2s+LBdCtXSCQxVA2mat60oV0mV1p9aAI982ubhzJwnxvznUAn9z4LZ6pW1vY3zOCOCePuSYjNeLwVKAJMVwOTiY+twFdeTJbXfyXz10wjXyVQ4ONf6vkYujmeoMjgTA26ubGcFTyWniY5fQs3JRmnO1foFkY1LyhCl1uzRZarp7hYTVhIG8ycuonFXoc5S+lWG6vNfycufZTa/OZVqkYlm0a5qeFB+kbqDZ7zws/jVHl9ksibPMPaqoHFLFCN135/1xs0mA5ATQ2ERUQ2lBzkSoCptZUARQjMr3SvWR0gIiIiIiIiJ8uRSAIAdwJP3eE+81s8/1rgy4CHgM8NISxs87g/Dbxh6P77Ntt4KfPA/ZmacbrmM6a7fUgb0Ii9tM5iL9DuD1YAeKA6K4wieMNfD8zu3Wzq9XXbq7EHyAOBbr6WpIjMX7OXlyVfhsrNzFR9OcNy5oF68P0iPLC8XAbE66nR6QQi8z4BC71AGnmwvpzIz82Jl+oBsMjr+4MH4PtlYmAwf7Ge+Kx7C2u9FFYyWOgGqrGx2PNa/lFkdLNAL19bcRFHvn+j7Dew0PPVCb62wQgG82XJoXq5KqCXexKijp9nNfGxPLriqwWqsZ9XUXjQ/EILbm74zzGemGGqZpxemePRokK3SKhGBTULdApjqnOVWmq0ehkLK12eqJxl3urXNf/dztzN9cmm9W5u+DVfKa9JHPmKDPCVE83Uf6b9IpR9E/y6LWZQcO3v72DVwaDB9GLP+07cSANhEZGTIk0OLglwbrJ+zf0L8y0lAURERERERE6wI5EECCE8fy+PZ2Y/CvwH4AnghSGER3cwlkvApaFjbbnPXAeyMtDaSKFXBBYzaASfRT2o91+LIYkDeeFlgBY6gfZQYHUvZlOfqfkxBnXbB815myks94yrXQ8C1xIjjbzsTyPx8jFJWVe/nnoAfq4biMxnl8Na4LgIXuN/JfPyMytZWU+/bNDbTNdWA5yte+35SjnzfyL1GvWt3AP1aeyNfWuxH7+ZQtIHEmh3fSZ+XsBEFaZSn5XfzWGibOhLNWKqXLHQTD0BkgWY63gZo+GSOFnZPHnwI233/fWzngf8B0HzwUqALPef59Wulz6aTI3J1Fc4zExUuHUyYbpY4EoRc7Vf4WoeMxEVNKOcelzQCQXNrM2VUGHxsccI2eOcidORzX+3MirZNBysr8R+XR5b9jJOMwm0h/ZfyWC64j+LlSxQS4zZticM5vJrf3/XN5jOCu+LsJMGwiIiJ81BrgQ4f6pOEnliF+Dh2WU+/o7TB/b6IiIiIiIicrgciSTAXjKz7wO+DZjFVwB8+CBedym7tkHvpVbgtgnjTD3ipnqgn/tM7FoMmcHVXuBi69o67bC72dSTqScABnXbm6nX+u8VcHWZ1fsrWWCu4zPLqzG0skASGadqXmZnsQOh4mNrpoHJqpfAqcXXNjBu9wPVxDhVhYeX/PhTFU8A9Ao/drsfaCZGkngQP8HPP438+aTsn9Due+C9WY6p0/fkQKfvgeUQjH4YauqbQCUykiiw0jdPKERlWaMeTNe8hM5MFOgVxkrmx52slmWOzJMBicGpso8B5qsA+sVagqII0Ov7efeLQD0xpqtQSaEew4VewtUsYrmIAVguYpaLmEoeiCxQiaq0ogpdUtLOdhejjLY+2TQI1i/2Qvm749utZD7OZpmgGejmgVoCp+vQ7XuAf2D97+9wg+lKvLMGwlvkCkREjqWD7AkQRxG3n5ngwctLADx8efnAXltEREREREQOnxOVBDCz7wC+C7iKJwD+4aDHMAicXmh5MPambsGpmnGq4kHuhQyutANXOtcnAGB3s6l9Bv5a3fZBs9+FMkjss8F9u1Y/sNSDtGYsZ4GrnYLzE4bh5W+q5ezyTg7TGHdM+Oz/PMCZutHLIYRAXniJoamK1+A384B+NfZSMnMdXwnxsaeNAPTKBsK1yIP2BdDtAwHiGPK8XFWAz/avJ7Dc85r9BjQbXi6onfnqgqic1r+cQS310kqtHFLzFQ29fjlLvu+rCiKDSuLJhMnEEwGhLAHUK18jwxMBndxfu1X+TDu5l9YZBMMv1BNmQ5O8uD740gsGwciiKmnoExd99qJCzqhgvTdZttWySK2+l2Wartg1jZorZbmklR5c6YwuOTUq8bTdngTDqwtERE6ag0wCANx5bi0J8NCskgAiIiIiIiIn2YlJApjZNwA/DCwCnx9CuH+8IyoDtguBynJgKoFbJm21We5GbnQ2dSX22eGDuu2jmv3C2gz9NPKa/IOVB492odEL3NaMuGPChlYjBKYqg4a8ATOf6T9V8Qa0jywFPny1YLoacXPTEw0FXkKn3feAcDWC5Z6XsiH3RADmAf9u2ZB3ouKliLKyCe9yH2pxIDav5R+bbzvb9pJH5oeiFkOae5khggfslzOYTqHf93GH8hJkhb9WxXwW/yCZEJUrE9JyZUIFuOJD5Gr3+jI4tQQeW+yxmHTh9FnCyujSPgGgWsfmHifqrOxJEmD15zh0sOGZ+mnk59PKBqsG1kozGd7k+YnWzptPb9WTYNBAeEVNgUXkhEq2Wi61x+46O7H6/cNlMkBEREREREROphORBDCzZwD/vbz7EeCVZvbKEZu+P4TwQwc2sFIvh9myAe3ZulGGh0cazKYGD3APl2UZZTAjvFLW1B8ErCOub/YLfj8yVuv8D1YenK1574DJis/Ir8cwU/N+ASt9T1z0cmOi4scIeLPelSyw3PdeB48te0maAp+J30y9VFAj8cbEER7sX8p8nAWekGikZVmgMpCdl2VuljPvVRDwoHa7gKng+yz3fHx5KBsV932lwuD8O7kH9aPCr+NUxR+bSKFR8dnwWeH7tDIP7MflsULw0kpzBdf9rM7VPcnwxEpBEc8zOTnFxYkzVJavXJMICEBv8gynsiXaC1c9ubFPBisYbm0andzPoShXbbT7vuIkDzBdNS6s7DwBAFv3JOjmYcPVBSIiJ8HBrwSYXP3+8mKHlW5Gs5oe6BhERERERETkcDgRSQBgBlZjsM8ov0b5U+DAkwAD25lNHVnwQHVqq6sCWpnvOxxgnUw9yN5IPRAbmdfj7+aBbtsD7IMA+bA48iB+EXzWeD3xBMLpmjGRGmZGP4clYKbqJXbS2IP6V7p+W6tBJ/Ma9SF4s9zYPAHQzX2/4d4Arb6Xn7lz0qgma+OK8dr+EWVN/uBjaeceiK+WyYCKQTUBK4Pdyz24sBIwPCmxksFCz8+lOSh/EyD0oYgD7b4Hxxupn/9Kryx5VK64mEmhMH88LzwhkBUwkQamKkY/9wbKExVPADy8VHChBRPZLPV6ldOnz3P51C2k3RaW9wlxQlZtcC6bh7mLZFdm9+cXqnSmNuj3UDY6zv06NBKjXxhLmTc2Xs52N1N/o54EgwbCSgCIyEl2kI2BAe4cWgkA8MjsCh9728yBjkFEREREREQOhxORBAghvB1GVmQ5VLaaTV2NAwH/vtMP9At/7mzdZ+inHZ/FfabmQftqfO129RhOV42sCCx0PSh/qmp0hkoCVSKfUT9T9SD9TM2oWqCaeAC/X3ggPom83M5ix4PiMzUPoF9oweKKfz+dGmkUSCMPwoeyce9UxYjLxwbmu/BYy4P/g1r/AQgFZOUM/mrqwfduv1xtYEAZaK6WvQFCgMXMZ/Cv9H1sSeRJjX4BFB6gznN/vN035ruBbh64ZzpiJfPjpOUKiqTsYdApvDRQASz1odULdAu/pvXUr+VDi3C57QkA8IRA+sRjTGQd7pqaYbEyTT9JSIouU4uXKBbnWZ69ck0z5b02aAbdzeHh5cDtE8ZNDV9t0ivWfh7LWaCz5OfNLsazWQNhEZGT7KBXAtx2pkkcGXnh7/EPzy4pCSAiIiIiInJCnYgkwFGy0Wzqdj8QlXXvl3rXztZu9X0FwZmaUYkCkxUjMlYbAA88vhK4c8q4tWn0C6/J30x9lvhK5reV2LMl9TJ43s8DUzVjuuqv3cl9jKeqHuRdKcvsxGVSYLnngeBa7Ns0KkYjMeptDzoPeg4srFvpUIm9IfAjS3D7hCctAmX5HYAIljpgkW87VfH9BkmSxGCq6oH+PPhKicWeJ0SKAOfqvjKgWgbt63FgoWsU5ba1ZK2sULdsPDxYudDpQzeUJZSiMjGQwVw3EFvgocXASp+RwfyrHehfvEJzbo7JZh2LY0Ke011pH8js+OFm0I1yBcNKHyqRed+DcpVIv/Brc/uE//7tdlwK/IuIXCtNDjYJkMYRt51u8nDZFPihy2oOLCIiIiIiclIpCXAIjZpNfbpq1BO7LgGwuk/PZ3zX6kbg+gQAeNmdJ1YCd0xGnG/4961+4HTVODXhAXQDcoM8GK1+IMsDExWjXdbF7xc+u7xWNputJB6EX+55cL5a9iloJl5OCFit2z9R8aD01e7a2OqJH+t0zfz7xHsOLJd16qvlLP5B64KK+WtWYl8R0A+eEOgHSDsw31vrf1CEQCc3EvNzAugWkBQeyK+nZbmaTmCxC6FMeAT82O3cr9lADkxXyterGmfrPsM+KwJPrBQbzuhf/Xl2WxvOjr/RmfOb7be+GXQzNULwJszTVfPVEj3fPwLqiTGV+nHef1Wz+UVE9tJBlwMCLwk0SAKoObCIiIiIiMjJpSTAITYIvK4P5m4kD4GztbXGwaMsdCG1gkriJXlaGeRFYLZtzJRNepf7/lrtfsCAO82bFmcFTFZ9LGm01rR3ECjPg68miMug/0rfG+0udgNLfVjuB2Zqxs0Nr6MfGUxWvG9Bu1+WJ6p74LmdeyKgFnvSIeBji6LyupQNgNNyFUKM3w/BVyvc3AgkZvRyD8JnhQfA0wiWCmjHfn+2E3hkMbDQg3bdSOJAswIWjCgKtPprVaTO1eDmCT/GhWVPMvQLuG0CpqsR09WChxY3DpqPemzQu2G66omJfvCf0ahVAsNB+Wp0bc+HQW+IXhFoZb6KIzG/Jp3+2s8rKhsyB+Bq14+bRn7c5Z6vKLlzys+5V7Bp3wkREdm+gy4HBHDnuQl4v3//0KxWAoiIiIiIiJxUSgLskUq8f7OlIzwY2y823y6UAfEtNmMpgyQPXFzxEj2+feBJUz5rfrnvzWPBa8R38sAtqZEVHlyOzGv1FwyCyl6jfyXz+5XI6/JPJh5I7gNnqka779dopgK3TBj9whMLT6xANw+crUKRG1l53CJ4ALtWJhsKoMh9ln4c+aqFIkCv7z0FKpHP1L/chg9chbsnffb+XCcQmZFGnrBIIyDzBEAlgkrsNfIDAbOIeuzn1AvefHm+6/uca3jj40stT1J0+murGm5twtlazEy14HJ7dNB8/cz6MzW4bcKYrhg21LHiprqXS3p02Xs8TKZwqmY0EjDz61GNjTzA1Y4nIiYrcFvTV4sUYa2kUSOBxZ43/Y0Mksivw/C4BoH+Ivjv0LmaN39+eGnjvhMiIrIz40gC3HV2cvX7i/NtOr0+tYo++omIiIiIiJw0+ktwj9w+Yfs2W7pgrfb9Zsw8GL9VmGEQ9O0Ua4mLWuxB4Fa+lgAA/77TL0vsRF52KCoTElEErZ6vDqgmHpxPIg/sNxJWVxpUIyMpA88LXS/pU0ugR+By24PsSQSFGYsZnBDNxB4AAFaYSURBVIn9tSvlioKs8BnyFqCf+3HTyGf8d3NWZ/vnZdPiEPz7uS40k8B8Dy63CuJyxvu5hpEXvj+Jz5A/V/feAINgfCWBCfMA/E11v58aXG5BLw90+sZiL5BEMJkaWQjMVGAqjbjSLq4Jmmf59bP2DTjfhFps9AujmweK4Ne2Ghvn6n5NbqoHpqsRkxU/p3gwk98Cl1Y8SVMBpivGqZoxkXg6Y67jJZ2aSWCmChdWjHpZxml9siqNoF02Q56qenKmk/t1z8qM0nDfib3oGSAictIkW72J74M7z01cc/+RKys85ZbpAx+HiIiIiIiIjJeSAHskYv9mS/dyD6afrXud/o3EZsx3IY58ZvtGaomXDBoOBm+WaGj1/fVridfw7xfQw4PtVpYJ6hZrM8mz8vusDCTXYrjY9vI+/SLQTIxaCr3CZ7d380Be+L69/lA/gLgM9veh6PoZVWOYSLx8ULus25/lHqDvBX8sjvwcwcsAVSIPsHezsmdBOesdPLDeSH37ejJIKAT6hQfN08iTHBOJ9z3oFT6edj+QBzhVzuJf7hkW/BpRNmWerMCTpqy8Hkanvzaz/p5p42wdLndgYV3/hk7ZGPop00YRIpYzuNr1czhd82TCfMeYqgRmqkY1gVpkDCZ3FoWPabYdCMCkGdNVL+00kQau5Gs/5ME5t/th9RrMttcSEsMGfSeaqV8jERHZvnH0BLj9THN1ZR3AQ5eXlAQQERERERE5gQ7+L9JjqtUflJ3x2dKT6d4efyULdHMPLI8yWfFg+uV2sa3tVtYFcQeJhkHwfCAtG/M+uhJY7PmM/wIoylni/b7PGu+U+y/3PJi/1POeANVyBUA399fzbT3IbPiKgYnUqMQekO4WXm7nSgeWuqyWtlnpewA+jfzxKx1PAPT6nhyIIl8FYPiKhErsM+lDeZqDgPYg2TG4H5flgJqJEZsHz690jNkOXGl7qaJHFgJL3UGDXwjmTXRPVyGJA+1BT4RydUS5kIEiwNma0UyNuU6g1adsJAyYEWEkGLXBDkOK4P0SpmtwuRPolOV9AjDf8deZrBi3Txhny2bGZv5zrMRwpu5ll650/LF+4cmCNDamKmu9FoqiTHoEmKn6z7BfXJsoGdbpBxqpv4aIiGzfOMoBVZKYW081V+8/fFl9AURERERERE4iJQH22FLPy7k0071d9r+UwZXO0GzwsoxNI/H7RfDnL7S2t92oci6jEg2R+ddS1xvHXu34bPtu7kHyh5a8RM5yz4PU7TzQywO9InjpmQIWe2uBcvCZ+7Ntr1Wf5T62gM9AX84Cc91yZQAewC6C/6I2y1UHF9ueKIjwYHSzXKEwXfGZ+NWkTAAA2NoxBq/d6fvPCKCeDroBhGsC+s3Uz7uTw5WusZCVvQTwWf9J5HX6I9Z+znHkQfXBAot6YgS89FA69C+tkngQfqFHmfy4/ndloiynlBdeFgnWekMMkjDTVT/WoIFvt0yULGeeiJiq+Mx+T0AEHl/xvg2+oiPQzb1XQF4mAACWemE18TIoBTRssFpE/3GIiOzMOJIAcG1JoIcuL41lDCIiIiIiIjJeKge0D4ZnS+9ls+C5DmRlqZhG6oHuPHjwfLgXwXa3W28p81JGZ2rG6ZqXrznXgLunfPZ4rwwMtzKvi79Qlsf56CJMVAIWjG4RmEi9+exK5mVmloder5n6rP7lLFBLYLFsNrzc83I05+rG2ZoH4BtpWT/fPLnSL7ed66xd1+kyYZEVfty88BnukXmyI5T9B4a1+35tztU9cB7FkCS22guhPiirEwLtvgfo25mPPS17I3RzH8twTKeRwhPLfn3S2F+33Q+riZQBK89pMO5KDIl53wPw41YToyiunY2/uooBT3REAMED/sVQ4+jYfJVEEgWqsY8nK7yJcKcfqEbeILibh9UyEX5NA4mVKy82KPez2kR49K/QhtY3RRYROWnSZExJgLMT/OUHLgLw0KxWAoiIiIiIiJxESgLsgzx4IHc//tz3kjRhy6DqdrdbbzmDiEA9gSdNw82NiOmKB5gXun5ujRQiMxZ6BRdbPru+CN5nYK4bOFMNnGsYNzW8PE+lDJZXyuD5Qs+b5Z6t+0oFMy9tM1Ux0thXLlRin1HfzT1AXokDsx1IzGviA2sz7CNodcvyRKzV/W+mXqapkcDHnIpY7PpKg255HbJytcGg10BWzrrPC8rmuGuR+5UMJvswlcLVTtnzoIBGDK0EJpOyJFTXw+ODWfvG9aV1uoUnB6ZS6OZGRJkkGJQuwveLIi931Csj7v3Cr8epml+TbuErAawM5A+OkUTQyfzYtdj7MPQK326+6wH+qYo3GO7lYbX8TzMxksRYaBW0hlZuDBvVT2Izk+n1TZH3q4G2iMhhNo6eAAB3nZtc/f7C1RbdLKeaqqabiIiIiIjISaIkwD640dnSO7HdIOyNBmtnqnCuHpEVgfddgcnUiCIvBbSUeSD6bD1isVfQzdf6DPRyeKLlM/1DMM43jahs/DtfBn8HAeaFXuBcPaJSluFJIi+/kxWBCG+oa+ZNfwNAgCvdgsmKrxiIIg9qp5EHxRsVmAi+bafv9e+XWoGLLZ/5P1mFemrMdwMfXRiE/40nTRvnGh7UX+x50Hy6asS2VpKnV3h9/UoE5xq+gqARe0me6aonT+ZXAq0ysD2YtT+Zetmf4dI6We4JlanUm+yuZNfP+F993TJIP+BNlI2JaplcKBMW7RyaFb9eWe7jK/CfZS02FnuB2IxWFrjYgla2tlJkUGLoiZVAIw0jewHAxv0kNnKm5iWoqvG1TZH3q4G2iMhhlqzvtn5A7jy7Vg4oAI9eWebe82oOLCIiIiIicpIoCbAPdjpbetxGBWtP14yZauDxZZ9evpQFJlNveJwV3gPgfAPumDA+OB+u6zOwlMGDiwV58GD6Yu/6GvNF8Br0aQxmRiPyYHqnTCpkhc+KnyxLCKWRz87v5IFmYqvBeSOQRF7/flB6p5N7LfxBM9+5jr/OdKUsHbQ6Ez2Q5YHEIqarvt9EAlOVss5+PtQboAPdfqCZGmfrUEvXVkhcantz3VubxtVe4Erb98eMlRHF9ec63nvhfMPICh9bVKytmIDAUs9fc5AoAE/CLPYCUxXjTM2vazv3HgMpvnrgas9XCQxWVCz1ArF5omUQwN9opcjpGteUgxr0AKglXj5oo34S602m/jsUmZ/rsFbfz/1MzchyrQgQkeMvjSPMxpMEuP3sBEOLzXjospIAIiIiIiIiJ42SAHtsp7Olx219sDaNfEa5JzI8qDyZGle7gavdQD2x1cBxKwPMWOoVI2d0L2VwoeU9BiYr1weVixBY6AU6ZYmbduYB7f66mHmrbOw72w4UwFw7kEQFp6oRSQS93MiDz5yvJx5Q7+bmpYMSr4EfMTiGn28z9SA4wJUuPLhU8EnViHunfZzgQfRBCefIPIA+1/XxtnOotDyA7zP+japBrQrnGsZC3RMnV9qBURUgVjJY6AafhR+gYhDitfJBT6yUSRDzEkjTFU945GVJoBACrcy42PLtmomtzuCvxn6NpyqeMOgHT66MCuCvT1TdaD+J9ZqpJ5XWJwBWfzd61/8cRESOqyQeTwIAoJbGnD/V4ImrLQAeVl8AERERERGRE0dJgD3SSHY+W/owGARrO/3AubpRjcvEQHUw69xnk9cTTwR0yuaxkXkNfDMvvbORzYLK/SJwquYrBULw2evrEwDgge+oLFlTlNv1cq9nf6G1NpMdvNxCP3ig/Hwd0sTLCuVl3ftBAH194+b5Dsx3ApXIiMzol6sMQvBVAHlZZqiR+DXq5l7Xv5cHJise3LHg16KZekPeS20vixTbtTPra+X1XMkCF1cKeoUxXfVrM1hZ0Cs8eTFTMyZS/1lUYm8InMbGo8uBfihY6MFKD+pxIImNU1U/9mTFf3aPrwQeWdpZDf4b7ScxUIn9Zz1Ipmxkvxpoi4gcNuPqBzBw19mJtSTA5aWxjkVEREREREQOnpIAe6Rg57Olx20QrK1EgYkyAdArvFxOUdazh7Jhbux19/vBvwjQoGyiu8VE7uGgci32fTtl1H6qupYY2Khc8qA+fgRk1zTZNfpDBewrkR8jL5sCN1NIw9rs+jiCmQRCMNI48PjQZMhmaiz0jEvtgqmKUUtgIoVqbAQCyz2oRLbaD6CXBbp5oBp7kuGR5bXkyCCoXQSIzVjqBZaAs3WYSI008uvsX1auMPDza5ZB/plBT4IyyRIILGf+e7bSC8x3fcXDmZrRTD3B0C5LKNVjD/5fbgWudG88wH6j+w2aIo9K6AzbzwbaIiKHSTrmJMCd5yZ554cuAV4OSERERERERE4WJQH2yKPLR6cHwECEB7onUiPHG9gCtPGGu+fqgHngvl/Oxmco4D9RgYcWvdTMVtY3Hs6DlxPygLHR6cOpqtf7X68SeVPhODJaXe9Z0M29LM9wvfzBSoFmBaZTKMxn+PdyD7hT+Lmdrvo5N1I/xvDM9VZZNz8tZ8HXEl8dUI0hqfj3s73AbMfr8jcTY77nYx4kR2BQPsjPeQnKskFGL/eGyJ3+tU1yr3QCxvW9GUKAWuLndbUbuNIZCs6XPQ0mU9/GypUOVzvjTUYNmiJvVf3iIBpoi4gcBmNPAgw1B3786gq9fk4licc4IhERERERETlISgLskXEmAG60bEuBz3SvJV66ZthiLzBV9eB3BCT58Ax8TxAsZ3C5vXUId1Tj4UEAPLJAEgVC8ED9cFAf/H43B7NAtwzQF/hrJ5HPxJ+ueBmmSgSTlcBtTSOU26RROTN/aJh58H4ElTKrMWrmelZex24O4L0SWn2/ZlnhTZJvbRpx5MmJbtnMuN1fW7lQBE8snK1DEbxvwYXW6Ca5t0/Y6utt1Eh3IjWWe55sWp9UAf/ZL/d89v849XJP8JytG61NlokctQbaIiI3auzlgM6tJQGKAI9dWeFJN0+NcUQiIiIiIiJykJQEOMI2ml2/81ng66b4A1e7UIkDNzW8zvygxI4BUzWvUf/ESsGF1tZjHG48PGwQ3E6jtZJClQjqNS/zk8TQz31G/8q6xratzOvzL/UC9cRL7UxVjEoU6JY9APLCjzdV8fNbzvwceoXPlB/Uo9/OzPWsKMvyBLipYfRyP6d+7kmS6QpkhRGbN/udz1ht7NtMjSy/PgEwsNSDm6b9xR9Y2LqRbiUOI5MqkxVv2hwsjGzUfJBWMv/ZTlZ87OsdtQbaIiK7Me6VAHcMrQQAeGh2WUkAERERERGRE0RJgCNqs9n1kxVIO1sHgiNGl9UZuNiC2AL93AjmgduA0c4Ci71AVhjnG5snHQaNh9cnAAaWeh7Mz/LAY93AVMXHUomg3fNjz7avf41BkDkyaGWBXsVY6AYutuDWJkxVvGlxqw9p7NelmfoKh/mul+MZ1KPvbHPm+umaz+bv5JAXgU7udfu7hX/VE08QzHXWgtu1xM9lsbvxcdPYx2rBEyLZBosr1q8q2Cipcqbm13OcvSmWMv8dPFO7tilybEezgbaIyG4kW9VH22f1SsLN03UuLviyv4fVF0BEREREROREURLgCNrO7PrtBII3KqtTlE16q7FxtRu40CqolrPyMa85PwjobpZ0GK61P0ozhXri+09XjCdagYUuXFgp6ORenmejEkfDQeZbm17SaL7rrwme0FjurzUUbqTe0NebN8N01Wf1JxGQb2/m+iCpsJwFpivGVDVQi221qXEcBSJ81n+r7/vVY6NXeOJgI4P5oVHkSQP6oxMBvhpj61UFgxUDS2OeZT/XgSwPNFO//oMG0EetgbaIyG6lyfhboN95bmItCTC7NObRiIiIiIiIyEFSEuAI2s7s+u0Egge124fL6tSSsqZ92Yi23Q+cqhpFgMUssNTbftIhAqqxB9vTeK3OPsBMFaarRiXy+vwFnlSYrnpA/0onbNlweK4DFgIzVQPzcfcKDzLXYrjYhsQ8QL+U+XNpmbi4qeHXqVfARFlC6comM9fzEOjmgeWeB/izPFAE43zTkxmtDBa7QAhk5fnWYmjngV6xeamhWlJeC/Pgfy/33gArWVhNJgy222pVAXjSZVDqaNz19pcy/x280b4VIiLHwbjLAQHcdW6Sv/3wZQAe0koAERE5IcwsBZ4P/PPy9slACjwO/AnwoyGEf9pg37PAdwMvAW4BZoE/BL4nhPDQfo9dRERkLykJcMRsNbt+YLuB4OGyOrPtQDoUrM3ytRnwRRg9Qx5GJx0mU5ipGmdrRhLBSt9r6icWSCIPerf6sFAmH/LCZ+9nxc5K2qz0Yb4bWOj5eAvWAv2rJY7KSzVdhVpsNBOj3Q8s97wp8GA1w5VO4MLK6Jnr/SJwqiwHBJ4IaC0HOrmvCqhEHriPgWYCZ6rGUha43PYGxBuVGhokQ5qJl1cqggf7J8tVEgs9Xx0B21tVAD7mQamjw0KBfxE5ycbdGBjgzqG+AI/NrdDPi0MxLhERkX322XjgHuBR4K1ADjwL+HfAV5rZl4UQ3jS8k5ndDvwVcDvwIeC3gY8FXgZ8sZk9N4TwvgM5AxERkT2gJMARE+Gzyvsb1I0f2G4geKPa7anBZO3aGfCbGU46DMoVVWOjl0M1gVsacK5u1FMjjTwuf3kFZjuBdn+tkS7srKTNoKlvFDwID5DhyYXpijFdKWf7l0mJdj8w2w7XBNcHqxlubhiXW4G5bmCue+3M9UoMU9XrZ/TPtr0nga/O8HPtF35eV8ua95Pp6FJDzdQTABOpN2Kul42Ye7knXU4nXm4oywNxtL1VBbDWJHqLXxERETkgh2MlwFoSIC8Cj82tcNe5yTGOSERE5EAUwBuAHw8hvHPwoJnFwA8A/wl4vZndG0K4MrTfL+AJgF8A/n0IoSj3+x7gVcCvmtnTB4+LiIgcduP/q1R2ZBD03stA8FwHLqx4cLzAkwcFPgP+cstr6Oebx+JXxzS1rl/BYha4uQFPOWXc3PDnJ1JoxHDXFHz8aS+ps5IF0sjLB6XRtUmFzQxKGtWSay/IQtfHP9/1VQZTFSMv4JElf3yQAAAPxldj47YJ496ZiNsnjNNVT1YMZrBv9DrgqwIutwMXW4HFHjy4GHh4aW0Vw1LmqwyK4Nemkfh5nq4ZZ2peLikP3lwYvMFwNfbbWyeMJ8/4CoGLLW+SPGoMw2qJ0co0+15E5LA4DDPu7xhaCQBqDiwiIidDCOFPQghfOpwAKB/Pgf8MfACYxssFAWBmzwA+F7gKfNO6QP/3Av8EfMLwPiIiIofd+P8qlR3ZLBg9bKeB4KXMm80+uhx4ZMlvL7QCi9nOkg71xFcAFMHL7Dx5xrhj0piqlOMvPOhdBOgBtRRubRr3TBk3N9a+ZsoZ8tv5BV3JfLXCZOXaxwfB+V4ILHQDDy4WXG5fW2d/purjPFU1+rknIKqRP3a+aZyubf06A7XEVy7Mj6jZvz7Rslbf31cOtPvwxIoH+q90vORPu2/0C0gjo9v3xstbjWGyAt3cG++KiMjhcBhWAjSrKWen1t7UHppVEkBERE62EEIA3lPevW3oqZeUt28KIbRG7PMb5d2X7u8IRURE9o7KAR1Bgzr+68vLDOwmELw+aTBIOmxU036glhiLPe8pUI0DkxVv+nu+4bPaF3qeKIgiCGVCYbnrgfBTVXjSKXjPZZ+1H0cwk0I3N6argU5rw5cFNi5pNGjqm/UDVwlc7V6736AcT2RePqgSeW+ETg7d3vW9CbZ6nW7uzYU36mMw3CS3EYPhTZlXexfgyYB2P6yWcprvwWQCZgaEXY9BREQO3mFIAgDcdXaC2cUOAA9fXhrzaERERA6FJ5e3F4Yee2Z5e98G+9y3bruxOP+2+8f58iLXuPCCZ4x7CCKyBSUBjqC9DgRX4mvr36+33aRDKwvcOmE0U2+gm4dAIzV6fVgux1KL8N+64AH/3KAfvGFvbIF24QOpREavCExVjFa29bnMdSDLRzf17RWBmapdt5qhnniiYqHnyY048jEVZa5jVG+CzV5nZRvjZOga58GbCPdG1Gwa9HyIDNp5uXKgbPK8F2MQEZGDk2y1nO6A3Hlukvs+MgvAw1oJICIiJ5yZvRAP5HeBtww9dVd5+8gGuz66bjsREZFDT0mAI2ovAsGTKTRTo5GulfNpZVy3/3aTDssZPCk2arFxqR04W/XSOr2hBQSdAqrl/VoCFvns92oEtdiTBc0UeoWXzqnG22sQPBjnYKb9+qRGJbp2NUMa++t3h5odVKJrGxTDtb0JBsfa7HW2q5dDpw/V1Gh3Nj63amysZN5PYHge6V6MQUREDsZh6AkA1zYHfvTKCnlREEeHY2wiIiIHyczOAj9f3v3REMITQ08P3jBXNth9kEmf3Mbr3AScu6FBioiI7CElAY6w3QSCz9R8lns19qB+v/Cg/tm6MVnxoP9cZ2377SQd1pr4elC7KBsTr5//2Mf7AsQxRMHr8BcBEoPpiq8AmO96Q+IQrg/Cb2U7qxkiysRHGfBvptDNua6EUh5YLc2zndfZieVeoNf3cV3p+PlH5teiH9aSIb0ibNjkWYF/EZHDL00OR6D9zqHmwFle8MTVFrefmdhkDxERkePHzGrAbwF3Au/Am/3ul1cCr9rH44uIiGyLkgDHwE4DwZOpJwAig7l1s9Bb/etr4Q9slXSI8Jn1nb7P3l/sw3IPzjVYPU5altzJ8kGqAG6qexDctw+0+2G1Rv5mQfidWL+aIQ+B2KBZAcxn5S/0AlnhPQyK4CsCBiskRgXgd+tK15sxP+WU0UwMr/rP6u1iFrjYCsTmJZEU8BcROZrSQzLb/s6z105YfOjyspIAIiJyophZgjf2fR7wLuAlIYT16+gHM/2bGxxm8Oa5nQY7Pw28Yej++7Y5VBERkT11OP4qlQPVTH0FwKj6/uAz5b0Mz+gaxr3cm+euD0oXeDmf5SyQF17vfqkHRQGnq17uh+D7dcv96wks9+GjC4HHlkO5smDtmHsZhF/O4GonsNgrEwCpcbbuvQLqMdxcN+6eNG5u+Ne5unGqZmS5/0NZW+mwd1r9QJZDNSkbJpvfDhIkE+mNN3kWEZHD4bCsBJisp5yeqK7ef0jNgUVE5AQxsxj4FeDFwD8BLwohLIzY9KHy9o4NDnX7uu02FEK4FEL4h8HXTscsIiKyV7QS4ISpxF7Op9PfPKg8qhb+Vnq59xRoJMZiL9BMDSMwUTFOVz0psJJ5yRsDGol//9BS4ANXPRi+Xi0xb+67i1nw63sfTKTQSH2lw5U2VBJIE6OeBFqZj72Tw93lvI+07H2wUc+E3YyrGhuzncB8FxoV6Pe9FFAApisAxsWVYrXckur/i4gcPYelJwDAnecmmFvuAmoOLCIiJ4eZGd4D4EuBB4AXhhBmN9j83cAXA8/e4PnB4/fv4RBFRET21eH5q1QOxGot/C0mlg8a/+70F2QlC3TzQBzB5Xbgo4uBdz5R8P6rgQstD/oPXv9i+fwDC4FWf+0YaeQleU7XRs+Cr8S+qmA7M/PP1OB802f8R3jz3+mKMZUa7Ry6RSCNjGoE8x3DDKYqvhLAzIgjqCZGtQzAn60b55vG6drWr73VOAcrMh5f9t4KV1q+wqIIXjLpiRVPmqSxcb5h3D5h3DHpt+cbxmS69Rh2Mh4RkaPCzBIz+3Yze4+Ztczsipm92cyet8PjNM3sK83sv5nZX5jZipkFM/vNvRxvEo9eWTcOdw2VBHr4spIAIiJyYvwU8NXAw8A/CyE8vsm2v1PevsTMGsNPlMmELy3vvnGvBykiIrJftBLghClYC/BvZhCoTyKosf3Z5+tr73f6gcUePLAQmG7DRAW6WWCuBxdWII0Dtdi3jQhUYqOZQDU1ev3AhdZaAmD9jP6tZuafqXoCwFjrfdBMjQA80fImx83U+wNcbHugv5fDqaoH4uc6gYttTxpE5qV7NuuZsJNxrl+R0er78dNorTlwVsD5Btw+YSz2YKm3dQPnUXZ63UREDjMzS4E3Ay8ErgC/D5wBXgS8yMxeHkL4pW0e7inAL+/LQIdUDtlKgIFHriyTF4E4OjxJChERkb1mZj+MN+h9HE8APLzZ9iGE+83sj4DPBX7SzF4RQhhUqP1u4Gl4bf/f38dhi4iI7CklAU6YQcmes3WjtUlJoFM1o9OHmxo7DxzPdSDLPcjeSD2RsJzBpVagVwRa2bVJhck0cNsE3NwwajG0c5hr+7ZJZJxvwk0hEJnPnO/0Nw+GD4Led0x6Tf+VLFCLoVcED/SXH9+6uZcuWs5gvhuYSKGeGBZBM4LFzJipAgRqCaSxNzRe6nlj5WbqjZKHnan5c1uNc7Aio7+u2UE2dL+RwERqJJGPrzuUhNlOMmIn4xEROUK+A08AvBv4nBDCVQAzeyHwB8D/MLO3b/UHfmkJ+AXg74D7gGcCP7PXAz5M5YDuOre2EqDXL7g43+LW0xv1PRQRETnazOwl+GcHgI8A3+WT+a/z5yGEnxu6/zXAX5W3zzWzdwMfCzwdWAC+YigxICIicugpCXACrWQeQJ6sMLI58G0T0Ey9bn+7zw0FjpcyD5Bvt459HuBKN7DS823X+gMEbmrATDVioRu42Lo26L4+GF6JPeg9kRqnqlCNoFYzqnEgDxEEmO0E2vi4+oWXH5qpQj026gnEeF3+GK/LHzCSKHC5tfa6o3omTKb+2pGtrTzYaJzdYusVGc3UqCUw3xvdGHmzZMROx6MVASJyFJhZAnxrefeVgwQAQAjhrWb288DXAd8MfNtWxwshPID/cT84/sft7YjdoUoCnJ245v7Ds8tKAoiIyHF2euj7zyq/NrKaBAghPGJmz8Rn/r8E+Bf4CsTXA68KIWzZFFhEROQwOTx/lcqBWcrgSidQBA8SNxKvwd9I4LYJo5n67PlHl71Wfzf3cjVznUBkHjjebj36Xu517jdLAAxq48+1/bXWNwgOwZhIIQ+jI+ZLPW+we3PDVoPegUA9NSrl7P3Fnj9+ugbnG368QWmkRgJTqRFFsNL3x7p9aBd+rZIImolRH6qlP6pnwuA8RiVWhsfZTG11RUYtGX1Og74I4CsyRjVNhmuTERtd1+2MR0TkiPgMvPTPgyGEd454/tfK25ce3JC2lh6iJMBUo8JMs7J6/6HLS2McjYiIyP4KIbwuhGDb+HrZiH0vhxC+KYRwVwihGkK4NYTwMiUARETkKDo8f5XKgZrrwIWVwGw7UOCB7gLo9D04/dgGvQL3OnC8vjb+wCAIPkhQLPdYLckzSqcfOFXzcRUBJsvxtfvQLbzMzlzHZ8A3K4GpipFG0C8C9TQQx75tESAxXwmQl9Pv86J8fGja/qBE0mCG/kbnMWqcg6D9oInyZOX67SLz/gmdPNDuB9IYJlL/SrdIRtzoeEREjoBnlrf3bfD84PF7zWxyg20O3GFKAgDcObQa4CE1BxYRERERETn2VA7oBFtfsieJvAdAu7/5fqNK4dyo9bXxG8lgBrsHwmODqYrRy8PIYPfqcSLf93I7UE+MyIzFLkxVfCXCQKvvKwJmKuX3eIJgEN6vxL7qAQLg5YF6ObT71/YFqCXGbDusnv9GNf7XGzRbjhjdRHkQ1J+oGEUBeeHPT1XXViK0c1joBuY6gRCuTUZsdF23Mx4RkSPgrvL2kVFPhhCWzGwRmCq3fd9BDWwzh6kcEHhfgPc8NAd4OSARERERERE53pQEkNVAdo2DDxwPSvLE5nX5pyq22rw3L+v1N1IPiodOGFkbHyA1D+Sb+YqBbu4z4Gtlnf9BYqPdX6vDf2vTexu0MojNuLlMgCz2ArXEOFeDxZ4nSno5xOU5T1b8+CtDdfiHz2Mz61cQjGqinAdfpREBd00ZiRkBL5VkwFTq12mq4g2XP7oQrkvG3Oh4REQOucEU9pVNtlnGkwAHuhLAzG4Czo16Lk0OVxJgeCXAw7PLFCEQjW6SKCIiIiIiIseAkgCyahyB40Ft/Dsmjdg80L4wVMO+V0DSCdw1ZSz1jEoURtbHr8TGch8ox58Xvu9SFphMvYdBVniQvR8ghEBWeMC/0zfS2APphq8caOSBamzkwWfnV2NPMMxUjeUscKVzbTPdwXmcrRutTUrwrF9BAKObKFcjSGOv6Z8FuDrciLkP9cRfK7bgJ73Bdb2R8YiIyA15JfCqUU8kW72xHrA7z60lAbpZzqWFNudnGmMckYiIiIiIiOwnJQFk1X4GjocD3Ov3W8kCsRkzVbjQun7fyGC+6zP864ldMwMffGb+cuaNjqcqRh58nyTy11oikObeJLgRBRZ6sND1/gAPLgbO1LxB8sVWII183yJAGoXV0kSTNeNqJ/DEiq8A6BZQi689n5XM6/tPVhjZjHfUCoJhw9fldNWoRMZieZyJSiDLvd9BZBBHft8ZoxIBux2PiMghNKhd09xkm0GE+6A73v408Iah+6uliA5bT4C7z127SOIDj80rCSAiIiIiInKMKQkg19jrwPFk6jX+G+naCoJW5q8zmEnfLfyY3dyYrhjdPKwGu6uxJySWsoJGbNzU8Bn9nbKsTy3x7a90fIVAZHB71ZhMjV6xFtDv5l4//1LL+wbEkTHb9nI6hs/CX3/OWeGJgtM1WFkOXFgO9Ao/n3MbnM9GNf6Hxzm8gmCUSgzTVV95MNcJmPlKhFrsxyoCLHZ93EXh2851r0+u7NV4REQOkYfK2ztGPVk2A55at+2BCCFcAi4NjWX1ucOWBJhpVrntdJPH5ryq0rs+Mstnf/ytYx6ViIiIiIiI7BclAeQaexk4Hsywr8Z+nH7hxzlbNyYr/jpzHV8hsJxBVgSisqZ/XNbGv9oNtPuBlQxOVYP3BghrtfNn2+GahMJNwcv4nKp5UmE586D6qRq0MmO+V1AA/aFExnbP2QzON7c+n1E1/tePczMRkJSxoyIMGhNDEoXV1RT9AiqRJwY268+wF+MRETlE3l3ePnuD5wePfySEcNArATZ02BoDAzz73rOrSYC/e+AyIYRrEhciIiIiIiJyfCgJINfZi8DxZOoJgKiczT6s1ffVBmdqRpZ7aZ08+Oz+Vj+QDpUOGq7/382h3Q5cankAfn1pockUIvOyPkuZcbbmCYWsD7NtI7HATDWi0y94dPna89jqnMETANs5n1E1/ndSOqnA+xaAr2QYWN+wOY68ENDgWmxkt+MRETlE/hK4AtxtZs8JIbxz3fNfXt6+8UBHtYXDthIA4JPvPcfv/K0vlphd6vDQ5WXuvulAeymLiIiIiIjIAVESQEbabeDYa+nbdQHz1eP3PEnQTGGpFa7pRTCq8S+s9SJY3iAJMXjNiy1vlnu1HWikRjXxGfV5gGrkrzXXuX7/zc75fGMH51MmDba6Xhtd217uPQtuqns5pE4++jUrkZ/XwohSQKMo8C8iR10IoW9mPw78APBaM/ucEMI8gJm9EPgaoAu8ZrCPmd0G/HF593NCCI8d7KgPZxLg6XedIY0jstzTyPd95LKSACIiIiIiIseUkgCyqRsJHFdin03f2aS5MPjzjdS3320vglGvOd+D+d61KwtS89tKvPG5rX/8Rs5ns+u2nT4JK5k3MD5Xh2YKK+sSH83UVwJcbauxr4icOD8CvAB4IfBhM3sbcBp4Pr5A6mtDCA8PbZ8CTx36/hpm9tvALeXdc+XtC8xseJXBK0MI77rRAR/GckC1SsLH33GK+x+8AsB9D1zmXz3nnjGPSkRERERERPaDkgCy5yI8uL2+fM16eVirZ7/bXgSbvebwyoJoixr6e3U+G9lun4SlDB5dDiQRnKsZzcRo9wOGlzjCjCvt68saiYgcdyGEzMy+EPgW4KuBLwI6wB8Crw4hvGOHh3wmcNe6x04DnzZ0f4pdSJPDlwQAePa951aTAO99eI5ullNN4zGPSkRERERERPaakgCy5wpYDeBvZjALfhBb300vght9zf08n/V20idhKVu7HosNb2zcSHyK61wXrnYKLrWUABCRkymEkOErAn5kG9s+iP/3udHzd+/ZwDaQbPUGMibPvuccP//H7weg1y9478NzfPK957bYS0RERERERI4aJQFOoP1uENvLuabG/0YGNf6Hx3CjvQh285q7Pfag3NBkxXhiZeNj76hPQlniZymDpYVAZTlQi4EAnUL1/UVEjpLD2BMA4J6bJzk9UWVuuQvA3z1wWUkAERERERGRY0hJgBNkO7Xo98pua/zfSJB7t6+502M3U6gnRi3xa9svYLHn36+/nrvtK9DLFfgXETmqDmNPAAAz41n3nOWt7/Feyfc9cHnMIxIREREREZH9cDj/KpU9d6YG55vG2boR4QHrCJ/dfr5pnK7t7estZXClEyiCz25vJFCNvaTN6ZpRBDat8X/YXnP9sW9pwi1N43zDmKl434GlXqCejL6eg74C+Rb5h0HZIf3DFBE5HuLIiOxwlgMCLwk08PDsMpcW2mMcjYiIiIiIiOwHrQQ4AXZai36v7KbG/2F8zcGxb27A2ZoRRTDfDXRzXynQ6gOMvp772bNAREQOr8NaCmjgWfecxYDBp4P7PnKZL3jmneMckoiIiIiIiOwxJQFOgBupRb9XbrTG/2F9zaUMmhnM92Ch6ysDsnUR+1HXcz97FoiIyOF1WEsBDcw0qzzllmk++MQC4CWBlAQQERERERE5Xg73X6ayazdSi34/9HLoHEBd+0oMtXitpv5ev+bgei73fAXA+gTAwKjruZIFurmvFBhlNz0LRETkcDrsKwEAnj3UDPjdH50lL7QeTURERERE5Dg5/H+Zyq6clFr0kymcbxi3Txh3TPrt+YYxme7t6+zmeo6jT4KIiIxXmhz+d9bhJMByp88HHl8Y42hERERERERkrx3+v0xlV05CLfqDbHo8uJ61MoCfbrByYqPrOdeBCyuB2XagwHsWFHjPggsrgbnO3o1VRETGL9nqDfgQeNptMzQqaxUi/+7Dl8c4GhEREREREdlrJzoJYGa/bGah/PqicY9nPwxq0deSzYMQtcRoZftfrmevrW963OpDN4dW3+9H5k1692pFQDWCZmLcNuEJhpsbnnxorjv+ZtdzKYMLrcCjy4FHlvz2QksrAEREjqMkOvwftZI44hlPOrN6/76PKAkgIiIiIiJynBz+v0z3iZm9GPhK4NgXYD/OtegHTY+XeqOfX+pBNTaa6e5nYg5WHExUwAJMJP4P6FTVEwHTVd9uu9fzoPokiIjI+Lzwk24f9xC2Zbgk0Acfn2exvcEbq4iIiIiIiBw5JzIJYGYzwM8A7wH+cryj2X/HtRb9QTY9nkzhtgnjXN3ICwgG9dS4qQ6RBarxWk+Co3o9RURk733ZZ9477iFsyyffs5YEKAK8+yOzYxyNiIiIiIiI7KUTmQQAfhy4GfgaoD/msRyI41iL/iCbHnv5n4g0gjiCxS4sdgPBYDI1YoMkMtp9juz1FBGRk+v8qQa3n26u3ldJIBERERERkeMj2XqT48XMXgS8HPjxEMLfmR3+hn17ZSmDpSxQiT0gXnC0S9EcVNPj0zW4uWH088DCUHWEXg/mezBdCYQAy1nBSh+6R7G7soiInHjPvvccj86tAHDfA7OEEDhJn5NERERERESOqxO1EsDMJoH/AXwU+K4xD2dsjkst+oNqejyZGrUYljco77PQAzOIzHa94kBERGRcnn3v2dXvZ5c6PHR5eYyjERERERERkb1y0uKVPwLcCbwihNAa92Bk9/a76XElhloC7RyiTXINvQKaiW+jhQAiInIUPf2uM6Tx2kfDv3tAJYFERERERESOgxOTBDCzFwCvAF4fQnjrLo5zk5l9/OBr70YoN2K/mx5HeIPEVgbVTeoO5QVUU6PTP/orLERE5GSqVRI+/o5Tq/fVF0BEREREROR4OBI9Aczsl4BP3eFu94cQvrzcvwH8HHAZ+NZdDueVwKt2eQzZQ3MdyPJAM4VG6k2P8+BNj1eyG08AwFrfgV4RSAtoprAy4niTFej1A8u9G1txICIichg8+95z3P/gFQDe+9AcnSynlsZjHpWIiIiIiIjsxpFIAuAlfJ66w33mh75/NXAP8OUhhLldjuWngTcM3X/fLo8ne2C/mh4P+g40EmO+G5ipGtMVo5v76oPIfIVAYoHHWoEr3d2/poiIyLg8+55z/Pwfvx+ALC9470NX+JQn3zTmUYmIiIiIiMhuHIkkQAjh+bs8xEuBHPh6M/v6dc89o7x9tZl9O/CWEMIPbTKWS8ClwX2zzZvSysHaj1I8K5n3HIjMVxfUE+8TEEdrqwSudgOPLWsVgIiIHG333DzJ6Ykqc8ue1b7vI7NKAoiIiIiIiBxxRyIJsEdi4LM3ef4TytsH938oAtzwrP29nu2/laUM0k7gTM2oxkYrC3RySA0qsXE1C7vqOyAiInJYmBnPvuccf/SeRwG4T82BRUREREREjrwTkQQIIdy90XNm9nY8OfDiEMLvHdSYTrLJFJqp0UghNp9N38rYsn7/je63F9b3HbAA7cKbDh/E64uIiByUZ997djUJ8PDsMpcW2tw0XR/zqERERERERORGnYgkgBweZ2pwupxR3+kH+oUH9M/WjcmKz7if6+zdfntpv/oOiIjI8fVTr/vNTZ+/7fw5/sXnry1UfOzCZX77LX+65XG/8WVfsqPXAfgXn//Z3Hb+3Or9337Ln/LYhetn+ndzgBrgJQ9//76HePk/+1gA/ub+f+Rv7v/HTV/nMJ7TsE99xsfxqc/4uNX7Oienc1qjc3I6J3fYzklERETkRigJIAdmMvVAfmQw17m2fn6r73X3z9SMLL92Zv2N7rdfFPgXEZHteuChx3a0fbvT3fE+232ddufa7vWPXbi84X4TdgvL1gTgjX/zIP/i057ETLPK3PzikT2ngSffffs193VOa6+rc3I6J6dzcoftnERERERuhJIAcmCaqc/kXx/IH1jqebC/mfqM+93uJyIiMm733nXbps8Pz1AFqNeqW+5zI68zOPZmrz3sTNf4s0v+fSfL+Y2/fIBXfO7HcXpm6sie08Dpmanr7uucdE7DdE6jX3sUndPo4+7nOYmIiIjcCAtBQdPdMLMA8PLnVMY9lEOtEsPtE0YEtPobb9dIvMzOpZaX/EkiuKmx/f0eXQ6aqS8iR9YvvrMHQAjBxjwU2aXB54Oj/DnrVb/+d7zzgxcBqCQRr/vGF3BmsjbmUYmInCxm/pFAnw2Oh738fHD+bffv+hgie+XCC54x7iFs7Xumxz0CEfc9C7s+xI18Poh2/aoi2xCx1sx3M7UEztWN2yeNOyb99lzdqG2xZiUPfnz9QouIiOyNr/rsj1n9vtcv+PW/eGCMoxEREREREZEbpZipHIiCtUD9RmaqngCYqhgWoF+ABZiqeCJgurrxvoMEQ7HnIxcRETmZ7j0/xXOfdsvq/Te/62EuLbTHOCIRERERERG5EUoCyIHo5dDKoJaMzgI0U5iuGtXYSwEt9KCbw0LP71djmKl63f9RaonRytS0V0REZC991Wc/hah8687ygl/98w+Pd0AiIiIiIiKyY0oCyIFZyQLdPDA5on1CPTFmKsZ817dbv998F2YqRn1EEmGyAt08XLefiIiI7M6d5yZ5wSesNar83/c/whNXW2MckYiIiIiIiOzUFpXWRfbOUgZpJ3CmZpyuGZ1+IA/eB+CmBrT7gYVeuK4BcKsPC71ALfbtsgI6fS8BVEuMbh640gksZeM5LxERkePsK5/3FN72vscpQiAvAr/yjg/x7S99+riHJSIicqK1fu+3xj0EkTVHoTGwyAmnJIAcqLkOZHkoy/9ANfLlKEs9WO4FFrqj91voQkRgomKEAEnkPQBm274CQAkAERGR/XHb6Saf9/Tbecv9jwDwx+99lC/9zHu58+zEmEcmIiJycv3oB3903EMQGfL94x6AiGxBSQAZrwDBoNiiaTB4j4B2O3CpFegX3gRYPQBERET231c898m89T2P0i8CRYBfeceH+M//8pnjHpaIiMiJ9Ypnj6izKyIisgH1BJADdaYG55vG2bqRF17qp9OHWgznJyKmqxvvO2j+u5xBJ1cCQERE5KDcPNPgC5515+r9t//D43z04uIYRyQiIiIiIiLbpSSAHJjJFE7XjMhgruO1/7u5JwIutLzO8C1NozFifYqa/4qIiIzXl3/mk0njtY+O/78//eAYRyMiIiIiIiLbpSSAHJhmalRjY6l3/XMrGTy+EkiN1URANYZG4omDIqDmvyIiImN0dqrGiz/5rtX7f/GBi3zoiYUxjkhERERERES2Q0kAORCVGBopdPobz+Rf6MITrUAnhzjy5r8F3vz3wkpgrnNw4xUREZHrfdln3ks1jVfv/9LbPzDG0YiIiIiIiMh2KAkgByLCG//mW1TzWerBfDfwxErgkaXAo8uBCy2tABARETkMZppVvvhT7l69/zcfvszb3vfY+AYkIiIiIiIiW1ISQA5EgScAYtt8u0GioJOr+a+IiMhh9CWffg+NyloDnx9+4/380d8/OsYRiYiIiIiIyGaUBJAD0cuhlUEt2TwLUEuMVqbgv4iIyGE11ajw9Z//cav3iwA/9jt/z5vf9fAYRyUiIiIiIiIbURJADsxKFujmgcnK6OcnK9DNAyvZFjWDREREZKw+7+l38H990ScySO0H4DW//17e9LcPjnFUIiIiIiIiMoqSAHJgljK40gkUAU7XjEYC1Rgaid8vgj+v+v8iIiKH3+c/806+46VPJxpa5PfTb/kH3vBXD4xvUCIiIiIiInKdZOtNRPbOXAeyPNBMoZFCEnkPgNm2rwBQAkBEROTo+JxPup00ifmh3343eeEr+X7ure8n6xd8xXOfMubRiYiIiIiICCgJIGOwlMFSFqjEvhSlQD0AREREjqrnfdwtpHHED/zWu8jyAoDXv/2D9PoFX/38j8Fs835AIiIiIiIisr9UDkjGppdDJ1cCQERE5Kj79KfezKu+9NlUkrWPlr/65x/mZ//on+j19UYvIiIiIiIyTkoCiIiIiMiufcqTb+L7v/xTqKbx6mO//dcf5d/+5J/wv/7sQyy2emMcnYiIiIiIyMmlJICIiIgcOWaWmNm3m9l7zKxlZlfM7M1m9rwbPN7TzewNZnbJzDpm9gEz+34za+z12I+zZzzpLK/+yk+lUVmrODm/0uP1b/8g/+Yn/4TXvuV9XLjaGuMIRUREtm+vP2+IiIiMi5IAIiIicqSYWQr8AfAjwK3A7wN/D7wIeJuZfdUOj/d5wN8AXwJ8GHgT0AT+C/AXZja5d6M//j7+jtP88Fc9h3tunrrm8W6W8zt/+xAvf+3b+IHfehcfeHx+PAMUERHZhr3+vCEiIjJOagwsIiIiR813AC8E3g18TgjhKoCZvRD/Y/1/mNnbQwgPb3UgM5sCfgWoAC8LIby+fLwGvBH/Q/+/Aq/ch/M4tp5yyzQ//e8/i3d9dJbf/KuP8K6PzK4+VwR4xz8+wTv+8QmeeusMn3DnKZ566wxPvW2Gm6fraiQsIiKHxZ593hARERk3JQFERETkyDCzBPjW8u4rB3+QA4QQ3mpmPw98HfDNwLdt45D/DjgL/O9BAqA8VsfMvhZ4EPhaM/svIYS5PTqNE8HMePY953j2Ped44MIiv/XOj/D2f3icvAir23zg8flrVgTMNCueECiTAvfcPMlMs0qkxICIiBygffi8ISIiMlZKAoiIiMhR8hnAGeDBEMI7Rzz/a/gf5S9le3+Uv6S8/dX1T4QQHjWzPwc+G/hC4JdvaMTCveen+I9f/Axe9oKn8sa/+Sh/8K5HaPX61203v9Ljrz90ib/+0KXVx+LIODVR5fRElTMTNc5MVjkzWePMZI3pRoV6JaFRTahX4tXva2msFQUiIrIbe/15Q0REZKyUBBAREZGj5Jnl7X0bPD94/F4zmwwhLG1xvGds43ifXb6ukgC7dNN0nVd87sfxFc99Cm9732O87+GrfODxeZ7YpFlwXgRmFzvMLnaAhW29jgG1MimQxhFJHJHGEWly7W0SR8SRjfjyxyMzosiIDCIzzNa+j6K1+2aGUd4a2GB7gNXnuGYbsGseWx37uscGT5VHW/cY1yU7rtt+6Gm7Zju77rHRD6w9dM04t9jn2qdHj3G7ttp+/fF3uv/Wr7/F8bc8wO5e3w+xu4Ps+hrsbvd9f4HdXp9tvcY+v4QBn3jXmf19EdmJvf68ISIiMlZKAoiIiMhRcld5+8ioJ0MIS2a2CEyV275vowOV/QBObXY84NF1ryt7YKKW8uJPvpsXf/LdACy2el4a6LH5skTQAgut3g0fPwDtXk67l+/NgEVE9lkSGb//f3/huIcha/bs84aIiMhhoCTAHvnFd974H6oiIiKybRPl7com2yzjf5RPbvNYmx1vubzd9FhmdhNwbsTjWwxBRETE2X8Z9whkyJ583tDnAzkxvle/0yLbNqZ/L9FYXlVERETkeHklPgtw8CUiIrJnymCyHD36fCAiIoeCVgLsUgjh0Kc7zezj8Q8cnxBC+Idxj+co0jXcHV2/3dM13D1dw2NjMDO/uck2g9l7W9XnXR76vsnogvPbPdZPA28Yun8v8Cb0+3bD9G9293QNd0/XcPd0DXdn6PqdAy5tsbnsnb36vLH+8wHA5RCCfpaHgP5/Opz0czmc9HM5+pQEEBERkaPkofL2jlFPmtkkvjR/eNuRQgiLZnYV7wtwB6OTALdv81iXGArOaJm/iIjIkbYnnzfWfz4QEREZF5UDEhERkaPk3eXtszd4fvD4R0IIW83eB7h/m8e7f4PnRURE5PjZ688bIiIiY6UkgIiIiBwlfwlcAe42s+eMeP7Ly9s3bvN4v1Pe/uv1T5jZ7cBnARnw5p0NU0RERI6wvf68ISIiMlZKApwMl4HvLW/lxuga7o6u3+7pGu6eruExEELoAz9e3n2tmc0MnjOzFwJfA3SB1ww9fpuZvb/8um3dIX8BmAVeZGZfPbRPFfifQAz8XAjhyg6Hqt+33dM13D1dw93TNdw9XcPd0fUbgxv5vCFHkv59HU76uRxO+rkccRZCGPcYRERERLbNzFJ8Zv4L8Vl6bwNOA88HDHh5COH1Q9vfDXy0vPukEMKD6473IuB3gRSf+fco8Bl4P4C/B56rpf4iIiIny04/b4iIiBxmSgKIiIjIkVP+Yf4twFcD9wId4J3Aq0MI71i37d1skgQot3k68F3AZwOTwCPArwM/GEJo7ctJiIiIyKG2k88bIiIih5mSACIiIiIiIiIiIiIix5R6AoiIiIiIiIiIiIiIHFNKAoiIiIiIiIiIiIiIHFNKAggAZvbLZhbKry8a93gOMzOLzOwzzezVZvY3ZrZgZj0ze9TMfs3MPm3cYzwszCwxs283s/eYWcvMrpjZm83seeMe22FnZqmZfa6Z/Tczu9/Mls2sa2YfNbOfN7OnjXuMR425dwz9X/cJ4x6THD/6f29rZvYsM/uPZvYb5f9p2/o3aWZnzewnzezB8v/Dx8zsF83sroMa+2Gwm/cHXcM1ZvZNZvabZvYBM7tqZpmZXTCz39vss7CZ3V1es8fKa/hgeU3PHOT4D5udvMfq99CZ2euGrteor7dssJ+un8gIe/0ZzMyebmZvMLNLZtYp3y++38waez3242yvfi7l++9m/2cGM3vOfp3HcXKjn8W3OKY+Hx0B6gkgmNmLgd8BAmDAi0MIvzfeUR1eZvZk4EPl3cvA3wIrwCcATwMK4JtCCD89nhEeDuZNtN4MvBC4ArwNOIM33QR4eQjhl8Y0vEPPzF4I/FF591HgPiAHngXcDXSBLwshvGksAzyCzOybgJ9k7f+6TwwhvG+8o5LjRP/vbY+ZvRF46YinNvw3aWa3A38F3I6/B78L+Fjg6cA88NyT8u/5Rt8fdA2vZWaPAueA9wKP480+7wGeXW7yEyGEb123z9OBPwWmgb8H3o9f96cADwOfHkJ4/EBO4JDZ7nusfg/XmNnr8GazfwF8eMQm7w0h/Ni6fXT9REbY689gZvZ5wO8CFfzf3CPAZwK3AfcDzwshLO3V+I+rvfy5mNndwEfx2MtvbrDZ94cQHtjNmE+CG/ksvsXx9PnoqAgh6OsEfwEzwGP4P9Q/xz+4f9G4x3WYv4B78T++X0iZSBt67hvKa5gBHzvusY75On1neS3eBZwaevyF5fXpAHeOe5yH9Qv4Z8BvAM9Z93gM/FB5beeBM+Me61H4Ap4ELAO/DzxYXr9PGPe49HW8vvT/3rav038Cvh/4YjyQteW/SeAPy21+HoiGHv+e8vH3Dj9+nL9u9P1B1/C66/iZQGPE459Vvl8E/I/W4ev7j+Xjrxp6PAJ+oXz8zeM+rzFdy22/x+r38Jpr8brynF+2g310/fSlrxFfe/kZDJjCJ/sF4KuHHq8Bbykf/+lxn/NR+Nrjn8vd5bEeHPd5HfUvbuCz+CbH0uejI/Q19gHoa8y/AP6Psg98MvB2lATYi2s6+HD+3eMeyxivQQLMltfhOSOe/5nyuR8b91iP4hc+w+795TX8qnGP57B/ldfrj4El4M7dfMjRl742+tL/e7u6dpv+mwSeUT4/x7qgbfnve/CHx4vHfS7j/tro/UHXcMfX8efWf5Yr/1AO5bVaPwmkUV7bgM+iG/s5HOC12vZ7rH4Pr7ser2MHSQBdP33pa/TXXn8GA76l3P4tI567HY+f9IDT4z73w/y1Dz+Xu1ESYL9+Vpt+Ft9iX30+OkJf6glwgpnZi4CXA68JIfzduMdzjNxf3t42zkGM2Wfgy/weDCG8c8Tzv1bevvTghnR8BH9HfU959yT/nm3XK/CZs98ZQnh43IORY0v/7+2fl5S3bwohtIafKP8//I3y7om/tpu8P+ga7ky/vO0OPTa4hr9eXrNV5TX9nfLuSbuGO3mP1e/h7uj6iYy215/BBv/WfnX9EyGER/EKCinwhTsc50mjz8Yngz4fHSFKApxQZjYJ/A+8ptp3jXk4x82Ty9sLYx3FeD2zvL1vg+cHj99b/i7Kzun3bBvM7A7gh/Fanq8d83DkeNP/e/tnu9f2mRs8f9KMen/QNdwmM3sG8GV4j6c/GHpK13CdG3iP1TUc7QVm9hNm9rNm9r1m9oINttP1Exltrz+DPWObx9O/tc3t12fjppl9Z/l/5mvM7BVmdvOND1N2Se9NR0gy7gHI2PwIvmT3c9fPJJEbZ2ZPA76ovHuSG7beVd4+MurJEMKSmS3i9RbvAtTAbAfKppDPxGcovmXMwzns/gdev/NrQwjFuAcjx5r+39s/m15bvDnu8HYn1ibvD7qGGzCzrwc+Daji5/8cvE7xK0MI7xnaVNfwejt9j9U1HO2r1t3/bjP7a7zB90NDj+v6iYy2Z5/BzGwKOLXZ8dC/te3ar8/GZ4EfWPfYa8zsO0MIP3FDI5Xd0HvTEaKVACdQObvkFcDrQwhvHfd4jgszqwG/jC8N/JUQwrvGPKRxmihvVzbZZrm81YzYHTCzs3gzOIAfDSE8Mc7xHGZm9jLg84FXhxD+cczDkeNP/+/tn62ura4rW74/6Bpu7LOBrwa+HPh0oA18E94XYJiu4ZAbfI/VNbzW/cA3Ak8DmsAdwJcCH8YTU281s4mh7XX9REbby89gw//m9G9td/b6s3EX+Fngc4Bby+M/A+8tUAF+3My+7oZGKruh96YjRCsBjhgz+yXgU3e42/0hhC8v92/gf9RcBr51j4d3JOz2Gm5wzAhv7vUsvCHfN9zwAEU2UCaafgtfxfMO4HvHO6LDy8xuAX4Cb1D0g2MejojIvtL7w40rP999uZk1gacA34wHGb7EzL5YK2avp/fYvRFC+G/rHmoBbzCz/w28Cy/t9fX4Cm4RkROtnNzwH9Y9/PfA15vZe/GydD9oZq8LIXSvO4CIKAlwBN0JPHWH+8wPff9q4B7gy0MIc3s1qCNmt9dwlNfi9WMfwkssLdzAuI6TQba3uck2g4zx0j6P5VgwswRv+PY8/A/Dl4QQsvGO6lD7GXxp6ReGEHrjHoycCPp/b/9sdW1P9HXd5vuDruEWQggr+Mzsl5tZAfw74DtYS6gs4yUidA1v/D1Wv4fbEEJYNLPXAD+JNx4dJAF0/URG28vPYMtD3zeBUX/X69/a9hzkZ+OfAb4HOIeX9fvTXR5Ptk+fj44QJQGOmBDC83d5iJcCOZ4t/fp1zz2jvH21mX078JYQwg/t8vUOnT24htcwsx/FM9JPAC8MITy6xS4nwaB+6R2jniwb/0yt21Y2YGYx8CvAi4F/Al6kRNOWXoIvSXy1ma1/7nx5+4tmtgK8LoTwugMcmxxP+n9v/zyE17kfeW2B24e2O1F28P6ga7gzr8eTAC9lLQnwEP5H7h34zMP1TtI1vNH3WP0ebt8Hyttbhx7T9RMZbc8+g5VJuKus/X8/6j1V/9a258A+G4cQCjP7MJ4EuHWr7WVP6fPREaIkwMkU4/VPN/IJ5e2D+z+Uo83Mvg/4NmAWXwHw4TEP6bB4d3n77A2eHzz+kRCCMsKbMP/r+ufxGrEP4Imm2fGO6shosvn/dZ9c3r59/4ciJ4D+39s/7wa+mK2v7f0HMZjDYofvD7qGO3O5vD039Ni78QkzzwZ+b8Q+J+0a3sh7rH4Pt+90eTs8K1nXT2S0vf4Mdj/wgnK/Uc1q9W9tew76s/Go/zdl/+nz0RGixsAnTAjh7hCCjfpibcnUi8vHXjbGoR56ZvYdwHcBV/EEwD+MeUiHyV8CV4C7zew5I54f9Fd444GN6Oj6Kbxh4cPAPwshPD7m8RwJG/0/V/5fN5iF8InlY98zxqHK8aH/9/bP75S3Lyl7G60qA+FfWt5940EO6hDYyfuDruHOPL+8HZ7cMbiGX2brpr+X1/Ql5d037e/Qxm8X77H6Pdy+/6O8/buhx3T9REbb689gg39r/3r9E2Z2O/BZQAa8eWfDPHEO7LOxmX0iayWf79vt8WRH9PnoCFESQOQGmNk3AD8MLAKfH0K4f7wjOlxCCH3gx8u7rzWzmcFzZvZC4GuALvCagx/d0WFmPwy8EngcD/A8POYhicgG9P/e/infY/8In+H1k2Y2/Pn1u4Gn4TP1fv/gRzceO31/0DW8lpl9ppl9YVlOaf1zLwZ+oLz7c0NP/S5eculp+CSQwfYR8N/xpfB/EEJ4z74N/IjT7+EaM3uGmf3z9b+DZlY3sx8E/iVewvW1g+d0/URGu5HPYGZ2m5m9v/y6bd0hfwFf6f8iM/vqoX2qwP/EKyv8XAjhyn6cz3Gx1z8XM/v3ZnZdqR8z+xTgN8u7b9Ckuf0x9HP51HVP6fPREWIhhHGPQQ4JM3s7vqz3xSGEUct4BP/QjjfeM3xJ06i6ZwDvP449FbbLzFJ8dsQL8RkAb8P/aHk+fu1eHkJ4/dgGeMiZ2UtYy5b/OV7qYZQ/DyH83AbPyQhm9iBwFz5LcdQSX5Ebov/3tsfM/jlDfyTgNa4rwHuAdvnYu0IIrxza5w7gr4DbgA/iS48/Fng6Xq/3uSGE9+7/6MfvRt8fdA3XmNnLgF8E5vDPdJeAGXwW4b3lZv8thPB/rdvvGfjK2Sn8M+AHgGcBTwEeAT49hPDYfo//MNvqPVa/h87Mvhj4bfy94l14CapzeEmFc0AP+Lr1PYt0/URG2+lnMDO7G/hoefdJIYQH1x3vRXhwM8VntD8KfAZe3/zv8X9rKu+4hb38uZjZ/cAnAu/FV+oVwJPx/zcN+Bt8gubV/Tuj4+EGP4sPgscvCCG8fd3xnoE+Hx0JSgLIKiUBtsfMno+/eW3lT/e6CfFRU77pfwteruBeoAO8E3h1COEdYxzaoTcUoNjK61W6a2eUBJD9pP/3trbN/9+uew81s3P4bNeX4M1HrwB/CLwqhHBimo3t5v1B19CZ2ZPwxr/Pw/+dnsWDCY/jwZ7/GUL4s032fRXwecAZ4AKelPk+9ezZ3nusfg/BzO4Bvhn4FOBu/Hcpx8t7vQ347yGEf9xg3xN//URG2clnsK2SAOU2T8cDpZ8NTOLBzF8HfjCE0NqXkziG9urnYmZfA3wB8EnATXhvmnk8KfPreCP6bP/O5Pi4kc/imyUByuf1+egIUBJAREREREREREREROSYUk8AEREREREREREREZFjSkkAEREREREREREREZFjSkkAEREREREREREREZFjSkkAEREREREREREREZFjSkkAEREREREREREREZFjSkkAEREREREREREREZFjSkkAEREREREREREREZFjSkkAEREREREREREREZFjSkkAEREREREREREREZFjSkkAERERERE5FszsdWYWzOxl4x6LiIiIiMhhoSSAiIiIiIiIiIiIHCmHLfl/2MYjMkxJABERERERERERERGRY0pJABERERERERERERGRY0pJABHZF2b2C+UyuN8c8VxiZn9RPv994xifiIiIrDGzCTP7TjN7l5ktmVnLzO43s283s8q6bVeXupvZs8zsd83sipmtmNk7zexLN3mdm8zsx8zsg2bWMbN5M3uHmX2Vmdkm+/1zM/sdM7tgZj0ze9zM3mZm/+cm+3ysmf2Wmc2Wr/UuM/uyG7tCIiIih1v53hzK7/+tmf1d+X4+Z2a/aWb3jtjn+eV+bzezqpl9r5l92My6Zvaomf03M2vewFgqZvYt5RgGnyveY2bfZWYTI7b/nnIc37PB8a4rs1Oe61eXd39xcP7D25nZ3eX9B8s4xHea2QfKzwWPm9nPmtlNBzUekXFSEkBE9ss3Ae8H/pWZfd26574P+Azgz4DvPeiBiYiIyBozuwP4O+AHgFuAdwB/AtwO/Ajwv9cnAkrPAf4SeCrwh+UxPgX4dTP7zhGv8zHAu4FvBerAm4C/Aj4VeD3wy+sTAeb+J/B7wD8HPgr8JvCPwNOA12xwWs8qx/M04K3A3wPPBH7NzL5iy4siIiJyRJnZDwI/D8wDbwZawL8C/szMzmywWwX438D/CbwPf++cAr4Z+P/v8PXr5f4/AXwM/pnizcCteCzgL83s7I5OarTXAw+U3/9FeX/w9eH1wwLeAHw38BH8M4gBrwD+xsxuPeDxiBy4ZNwDEJHjKYSwUs62+2vgJ8zsz0MI/2BmnwP8J2AO+MoQQj7WgYqIiJxgZdD9DXgg/8eA/zuE0C2fmwF+DXgR8F/wP5yHfR3w48B3hBCKcp/PAX4f+H4z+4MQwruHtv8VPADweuAVIYReuc9T8QDBVwB/Dvx/h/b5VuBrgUeAlw4fz8xi4As3OLVvAv5TCOGHh7b/djyp8f8A/2urayMiInJEfS3wrBDC+8BX++FB+U8DvgEPxK/36Xhi/p4QwtVyv3uB+4DPM7PnhRDesc3X/37guXgC/vNCCJfK400BbwReALwW2NXqvBDCy8zsdcC9wM+FEF63yeZ34omOp4cQPlCOpw78OvBi4KeAf3mA4xE5cFoJICL7JoTwHuDb8Nl+v25mdwG/jP/f8+9CCI+Mc3wiIiLCF+BBgT/Fg/ndwRMhhHng5UAPeOWIcj2PAv95kAAo9/lj4Bfx9/pvHDxuZs8DPhmfBPBNgwRAuc8HgP+7vPttQ/ukwH8u7/6bdQkFQgh5COF3Nzivdw4nAEqvAa4CTyo/k4iIiBxH3z1IAACEEJaBHy3vvmCDfQrgawcJgHK/B/C/3zfb7xplYP0/lHe/YZAAKI+3iM+8z4EvMbM7t3PMPfT9gwRAOZ42nhTJgC/WZwM57pQEEJF9FUL4aXz54McD7wHOAz8VQnjTWAcmIiIi4EkAgN8MIYT1T4YQngA+BJwBnrLu6d8cDuYPGQQMnjf02OD73w4hLG2wTwbca2a3lY99cvm6H97B7MOBt6x/IISQ4eWEwFckiIiIHEd/MOKxQfB7o/e/h0MI/3gD+633bKAJPBBC+Iv1T4YQPoyXHYzw1QIH6VdGjOcRfCKEAZ91wOMROVBKAojIQfhavB7hFF7D99vHOhoREREZuKe8/e/rGtitfuGJfIBz6/Z9cINjDh6/feixQWD/o4wQQugDD6/bdjBD8APX77GljVYbDhIQ1Rs4poiIyFEw6j1wq/e/vXrf3PT9vvSRddsehPkQwsIGzz1Y3t6+wfMix4J6AojIQfgCYKb8/jZ8FsFmHwpERETkYMTl7Z+wcQBg4Mo+j2W961Ym7ECx9SYiIiLHz3CZvh047O+bh20S82Ebj8iWlAQQkX1VNhP6GaCPN935SuBXzeyzyll/IiIiMj6DwP//CiH8/A733ah27t3l7WNDjw2+v4cRzCxhbeb/YNvByoCP2eG4REREZDw2fb9f99zw54RBecGJDfa5YzeDAmbMbKrsS7De3WMYj8iBU+ZKRPZN2dDv14BJ4LuArwLehjcg/H/GODQRERFxg9r5X3ID+35J+V6/3leUt8N1/Afff7GZTY7Y5yuBFK8hPPgj/D589cFTzEx1ekVERA6/+4AV4B4z+8z1T5aTBJ+Lrzz4s6GnHi9vnzpinzPAszZ4vUGwfjuTnL9i/QNlH6Ln4asP//yAxyNyoJQEEJH99Gq8qd9bgf9aLkv8N8As8B/N7HPHOTgRERHht4F3A59vZj9hZlPrNzCzu83s34zY9w7gB8zMhrZ9PvDv8D/uXzt4vGzsex9wGvjJ4eSBmT0F+IHy7o8N7ZMBP1Te/RUz+6R144rN7MXbP1URERHZTyGENvCz5d2fMrPVfkLlJICfxQPkvxlCeHho17fjgfgvMLNPW7fPz+H9BUcZTBx42jaG993lZ47BsWv4Z5UK8LshhAcPeDwiB0qZKRHZF2b2+cC3ApeBfxtCCAAhhMfN7OXA7wK/ZGZPDyFcGuNQRURETqwQQmFmXwz8AfAtwMvN7O+BR/El8E8DngL8NfDL63b/WeCbgZea2X3ALfhsugj47hDCfeu2/wp8ReDLgM8xs7/E/4j+Z3jDwV/FSwgO+zHgE4CvBt5tZu8EHsKbFH8icDNgiIiIyGHxX4BPwWf8f9jM3gZkwPOBs8D7gG8Y3iGE8KCZ/TzwtcCfmtk78Fn1n4qvCnwT8NIRr/Um4LuBbzGzT8A/vwTgF0IIfzm03cP4pIf3mtmf4A2Pn4t/dnl4DOMROXBaCSAie87MzgOvL+++LIRwYfj5EMLvAT8JnMcTAfrjXUREZEzKmXifjCcB3gd8EvB/lI9dwUv4vWLEru8EPhN4APgCvNzffcC/DiF8/4jX+SDwTOAngC7wL4DPAv4WTwx85WDSwNA+IYTwMuBfAn+EL8v/EuDjgH8AvvFGz1tERET2Xrka4IX4pMAPl99/EXAReBXw6SGE2RG7fn35/GN4wuCZwBuATwfmN3it+4Evwz9LfAa+GvFruL6fUMA/2/wg8GTgi/FJBP8T+LQQwqMHPB6RA2frPmeLiIiIiIhsyMxeh8/Mf3kI4XXjHY2IiIjIaGZ2N/BR4KEQwt3jHY3IeGklgIiIiIiIiIiIiIjIMaUkgIiIiIiIiIiIiIjIMaUkgIiIiIiIiIiIiIjIMaWeACIiIiIiIiIiIiIix5RWAoiIiIiIiIiIiIiIHFNKAoiIiIiIiIiIiIiIHFNKAoiIiIiIiIiIiIiIHFNKAoiIiIiIiIiIiIiIHFNKAoiIiIiIiIiIiIiIHFNKAoiIiIiIiIiIiIiIHFNKAoiIiIiIiIiIiIiIHFNKAoiIiIiIiIiIiIiIHFNKAoiIiIiIiIiIiIiIHFNKAoiIiIiIiIiIiIiIHFNKAoiIiIiIiIiIiIiIHFP/L7BzPe33XseeAAAAAElFTkSuQmCC\n", - "text/plain": "
" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# slow\n", - "import numpy as np\n", - "from IPython.display import HTML\n", - "\n", - "from matplotlib import pyplot as plt\n", - "\n", - "plt.rcParams.update(\n", - " {\n", - " \"axes.labelsize\": 13,\n", - " \"axes.linewidth\": 1.2,\n", - " \"xtick.labelsize\": 13,\n", - " \"ytick.labelsize\": 13,\n", - " \"figure.figsize\": [13.0, 4.0],\n", - " \"font.size\": 13,\n", - " \"xtick.major.size\": 3,\n", - " \"ytick.major.size\": 3,\n", - " \"legend.fontsize\": 11,\n", - " }\n", - ")\n", - "\n", - "\n", - "fig, axarr = plt.subplots(1, 3, dpi=120)\n", - "\n", - "maxN = 50 # make me bigger for better results!\n", - "\n", - "animate = True # animations fail tests...\n", - "\n", - "if animate:\n", - " from celluloid import Camera\n", - "\n", - " camera = Camera(fig)\n", - "\n", - "# Training\n", - "for i, (network, metrics, epoch_time) in enumerate(train_network(maxN)):\n", - " print(f\"epoch {i}:\", f'CLs = {metrics[\"loss\"][-1]}, took {epoch_time}s')\n", - " if animate:\n", - " plot(axarr, network, metrics, maxN=maxN)\n", - " plt.tight_layout()\n", - " camera.snap()\n", - " if i % 10 == 0:\n", - " camera.animate().save(\"softmax_animation.gif\", writer=\"imagemagick\", fps=8)\n", - " # HTML(camera.animate().to_html5_video())\n", - "if animate:\n", - " camera.animate().save(\"softmax_animation.gif\", writer=\"imagemagick\", fps=8)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.8.3 ('venv': venv)", - "name": "python3" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/nbs/demo_softmax_pyhf.ipynb b/nbs/demo_softmax_pyhf.ipynb deleted file mode 100644 index f2ca52d..0000000 --- a/nbs/demo_softmax_pyhf.ipynb +++ /dev/null @@ -1,378 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Softmax demo, with histosys!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![](assets/softmax_pyhf_animation.gif)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import time\n", - "\n", - "import jax\n", - "import jax.experimental.optimizers as optimizers\n", - "import jax.experimental.stax as stax\n", - "import jax.random\n", - "from jax.random import PRNGKey\n", - "import numpy as np\n", - "from functools import partial\n", - "\n", - "import pyhf\n", - "\n", - "pyhf.set_backend(\"jax\")\n", - "pyhf.default_backend = pyhf.tensor.jax_backend(precision=\"64b\")\n", - "\n", - "from neos import data, makers\n", - "from relaxed import infer\n", - "\n", - "rng = PRNGKey(22)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# regression net\n", - "final_layer = 3\n", - "init_random_params, predict = stax.serial(\n", - " stax.Dense(1024),\n", - " stax.Relu,\n", - " stax.Dense(1024),\n", - " stax.Relu,\n", - " stax.Dense(final_layer),\n", - " stax.Softmax,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Compose differentiable workflow" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dgen = data.generate_blobs(rng, blobs=4)\n", - "hmaker = makers.hists_from_nn(dgen, predict, method=\"softmax\", hpar_dict=None)\n", - "nnm = makers.histosys_model_from_hists(hmaker)\n", - "get_cls = infer.make_hypotest(nnm, solver_kwargs=dict(pdf_transform=True))\n", - "\n", - "# get_cls returns a list of metrics -- let's just index into the first one (CLs)\n", - "def loss(params, test_mu):\n", - " return get_cls(params, test_mu)[\"CLs\"]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Randomly initialise nn weights and check that we can get the gradient of the loss wrt nn params" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "(DeviceArray(0.05995639, dtype=float64),\n [(DeviceArray([[-2.2394823e-04, -1.7480276e-04, -6.1054656e-05, ...,\n 5.8952533e-05, 7.8635589e-05, 2.2637634e-05],\n [ 2.8271039e-04, 1.4025315e-04, 7.4707074e-05, ...,\n -5.5012042e-05, -1.0666396e-04, 1.1093750e-05]], dtype=float32),\n DeviceArray([-7.4901516e-05, 4.7937342e-06, -4.5206507e-05, ...,\n -1.5291047e-05, 7.3248731e-05, 1.0631873e-05], dtype=float32)),\n (),\n (DeviceArray([[ 1.25705560e-06, -1.77267316e-06, 1.33249205e-06, ...,\n -1.29446235e-07, 2.00958766e-07, 2.97773369e-07],\n [ 1.55033115e-06, 1.90862380e-07, 2.86379350e-06, ...,\n 1.12065486e-07, 9.60407533e-07, -5.92352990e-07],\n [-1.14825504e-07, -1.10903957e-05, 1.52991824e-08, ...,\n -1.37601182e-06, -2.33312949e-06, 1.79508766e-06],\n ...,\n [ 2.53138842e-06, -1.29088491e-07, 2.57555166e-06, ...,\n 1.41005728e-07, 8.89226669e-07, 8.64601546e-08],\n [-3.13280680e-07, -1.61287189e-05, 1.29350497e-07, ...,\n -2.09393556e-06, -3.49575998e-06, 2.56635417e-06],\n [-9.94713105e-07, -3.36191874e-06, -8.31055189e-08, ...,\n -6.87107672e-07, -1.37865470e-06, 5.70107886e-07]], dtype=float32),\n DeviceArray([ 8.1333012e-05, -7.0139904e-05, 1.0058671e-04, ...,\n -4.7767012e-06, 1.1537769e-05, -3.8675471e-06], dtype=float32)),\n (),\n (DeviceArray([[ 1.0715405e-05, 1.4649085e-06, -1.2180314e-05],\n [-7.1418879e-05, -6.8742070e-06, 7.8293080e-05],\n [ 9.6024894e-05, 1.2857285e-05, -1.0888218e-04],\n ...,\n [-1.1048003e-05, 1.8069336e-07, 1.0867309e-05],\n [ 6.7079825e-05, 9.8823421e-06, -7.6962177e-05],\n [ 2.6364758e-05, 4.2322190e-06, -3.0596977e-05]], dtype=float32),\n DeviceArray([-1.3358015e-05, 3.4945311e-05, -2.1587241e-05], dtype=float32)),\n ()])" - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "_, network = init_random_params(jax.random.PRNGKey(2), (-1, 2))\n", - "\n", - "# gradient wrt nn weights\n", - "jax.value_and_grad(loss)(network, test_mu=1.0)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define training loop!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "opt_init, opt_update, opt_params = optimizers.adam(1e-3)\n", - "\n", - "\n", - "def train_network(N):\n", - " cls_vals = []\n", - " _, network = init_random_params(jax.random.PRNGKey(1), (-1, 2))\n", - " state = opt_init(network)\n", - " losses = []\n", - "\n", - " # parameter update function\n", - " # @jax.jit\n", - " def update_and_value(i, opt_state, mu):\n", - " net = opt_params(opt_state)\n", - " value, grad = jax.value_and_grad(loss)(net, mu)\n", - " return opt_update(i, grad, state), value, net\n", - "\n", - " for i in range(N):\n", - " start_time = time.time()\n", - " state, value, network = update_and_value(i, state, 1.0)\n", - " epoch_time = time.time() - start_time\n", - " losses.append(value)\n", - " metrics = {\"loss\": losses}\n", - " yield network, metrics, epoch_time" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plotting helper function for awesome animations :)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Choose colormap\n", - "import matplotlib.pylab as pl\n", - "from matplotlib.colors import ListedColormap\n", - "\n", - "\n", - "def to_transp(cmap):\n", - " # cmap = pl.cm.Reds_r\n", - " my_cmap = cmap(np.arange(cmap.N))\n", - " # my_cmap[:,-1] = np.geomspace(0.001, 1, cmap.N)\n", - " my_cmap[:, -1] = np.linspace(0, 0.7, cmap.N)\n", - " # my_cmap[:,-1] = np.ones(cmap.N)\n", - " return ListedColormap(my_cmap)\n", - "\n", - "\n", - "def plot(axarr, network, metrics, maxN):\n", - " xlim = (-5, 5)\n", - " ylim = (-5, 5)\n", - " g = np.mgrid[xlim[0] : xlim[1] : 101j, ylim[0] : ylim[1] : 101j]\n", - " levels = np.linspace(0, 1, 20)\n", - "\n", - " ax = axarr[0]\n", - " ax.contourf(\n", - " g[0],\n", - " g[1],\n", - " predict(network, np.moveaxis(g, 0, -1)).reshape(101, 101, final_layer)[:, :, 0],\n", - " levels=levels,\n", - " cmap=to_transp(pl.cm.Reds),\n", - " )\n", - " ax.contourf(\n", - " g[0],\n", - " g[1],\n", - " predict(network, np.moveaxis(g, 0, -1)).reshape(101, 101, final_layer)[:, :, 1],\n", - " levels=levels,\n", - " cmap=to_transp(pl.cm.Blues),\n", - " )\n", - "\n", - " ax.contourf(\n", - " g[0],\n", - " g[1],\n", - " predict(network, np.moveaxis(g, 0, -1)).reshape(101, 101, final_layer)[:, :, 2],\n", - " levels=levels,\n", - " cmap=to_transp(pl.cm.Greens),\n", - " )\n", - "\n", - " sig, bkg_nom, bkg_up, bkg_down = dgen()\n", - "\n", - " ax.scatter(sig[:, 0], sig[:, 1], alpha=0.3, c=\"C9\")\n", - " ax.scatter(bkg_up[:, 0], bkg_up[:, 1], alpha=0.1, c=\"C1\", marker=6)\n", - " ax.scatter(bkg_down[:, 0], bkg_down[:, 1], alpha=0.1, c=\"C1\", marker=7)\n", - " ax.scatter(bkg_nom[:, 0], bkg_nom[:, 1], alpha=0.3, c=\"C1\")\n", - "\n", - " ax.set_xlim(-5, 5)\n", - " ax.set_ylim(-5, 5)\n", - " ax.set_xlabel(\"x\")\n", - " ax.set_ylabel(\"y\")\n", - "\n", - " ax = axarr[1]\n", - " ax.axhline(0.05, c=\"slategray\", linestyle=\"--\")\n", - " ax.plot(metrics[\"loss\"], c=\"steelblue\", linewidth=2.0)\n", - "\n", - " ax.set_ylim(0, 0.15)\n", - " ax.set_xlim(0, maxN)\n", - " ax.set_xlabel(\"epoch\")\n", - " ax.set_ylabel(r\"$CL_s$\")\n", - "\n", - " ax = axarr[2]\n", - " s, b, bup, bdown = hmaker(network)\n", - "\n", - " bins = np.linspace(0, 1, final_layer + 1)\n", - " bin_width = 1.0 / final_layer\n", - " centers = bins[:-1] + np.diff(bins) / 2.0\n", - " ax.bar(centers, b, color=\"C1\", width=bin_width)\n", - " ax.bar(centers, s, bottom=b, color=\"C9\", width=bin_width)\n", - "\n", - " bunc = np.asarray([[x, y] if x > y else [y, x] for x, y in zip(bup, bdown)])\n", - " plot_unc = []\n", - " for unc, be in zip(bunc, b):\n", - " if all(unc > be):\n", - " plot_unc.append([max(unc), be])\n", - " elif all(unc < be):\n", - " plot_unc.append([be, min(unc)])\n", - " else:\n", - " plot_unc.append(unc)\n", - "\n", - " plot_unc = np.asarray(plot_unc)\n", - " b_up, b_down = plot_unc[:, 0], plot_unc[:, 1]\n", - "\n", - " ax.bar(centers, b_up - b, bottom=b, alpha=0.4, color=\"black\", width=bin_width)\n", - " ax.bar(\n", - " centers, b - b_down, bottom=b_down, alpha=0.4, color=\"black\", width=bin_width\n", - " )\n", - "\n", - " ax.set_ylim(0, 100)\n", - " ax.set_ylabel(\"frequency\")\n", - " ax.set_xlabel(\"nn output\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's run it!!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "epoch 0: CLs = 0.05996983692115765, took 1.3602218627929688s\n", - "epoch 1: CLs = 0.030597447604429284, took 2.1490540504455566s\n", - "epoch 2: CLs = 0.008953784455450364, took 2.1215248107910156s\n", - "epoch 3: CLs = 0.001997696859549869, took 2.1120691299438477s\n", - "epoch 4: CLs = 0.0005502397866101738, took 2.130920886993408s\n", - "epoch 5: CLs = 0.00020703685803713512, took 2.116583824157715s\n", - "epoch 6: CLs = 0.00010119312707623784, took 2.127730131149292s\n", - "epoch 7: CLs = 6.000310175990897e-05, took 2.1044809818267822s\n", - "epoch 8: CLs = 4.0795933610837665e-05, took 2.1543920040130615s\n", - "epoch 9: CLs = 3.0544794831666167e-05, took 2.1096608638763428s\n", - "epoch 10: CLs = 2.449328178100174e-05, took 2.119335174560547s\n", - "epoch 11: CLs = 2.0635453342743304e-05, took 2.1156258583068848s\n", - "epoch 12: CLs = 1.8028226963284766e-05, took 2.1297290325164795s\n", - "epoch 13: CLs = 1.6182511368922903e-05, took 2.2411389350891113s\n", - "epoch 14: CLs = 1.4824037490202002e-05, took 2.176023006439209s\n", - "epoch 15: CLs = 1.3790953918180193e-05, took 2.167228937149048s\n", - "epoch 16: CLs = 1.2985699484824309e-05, took 2.221809148788452s\n", - "epoch 17: CLs = 1.234320465903771e-05, took 2.143972873687744s\n", - "epoch 18: CLs = 1.1819320715922288e-05, took 2.1773970127105713s\n", - "epoch 19: CLs = 1.1385168364297371e-05, took 2.1334738731384277s\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# slow\n", - "import numpy as np\n", - "from IPython.display import HTML\n", - "\n", - "from matplotlib import pyplot as plt\n", - "\n", - "plt.rcParams.update(\n", - " {\n", - " \"axes.labelsize\": 13,\n", - " \"axes.linewidth\": 1.2,\n", - " \"xtick.labelsize\": 13,\n", - " \"ytick.labelsize\": 13,\n", - " \"figure.figsize\": [13.0, 4.0],\n", - " \"font.size\": 13,\n", - " \"xtick.major.size\": 3,\n", - " \"ytick.major.size\": 3,\n", - " \"legend.fontsize\": 11,\n", - " }\n", - ")\n", - "\n", - "\n", - "fig, axarr = plt.subplots(1, 3, dpi=120)\n", - "\n", - "maxN = 20 # make me bigger for better results!\n", - "\n", - "animate = True # animations fail tests...\n", - "\n", - "if animate:\n", - " from celluloid import Camera\n", - "\n", - " camera = Camera(fig)\n", - "\n", - "# Training\n", - "for i, (network, metrics, epoch_time) in enumerate(train_network(maxN)):\n", - " print(f\"epoch {i}:\", f'CLs = {metrics[\"loss\"][-1]}, took {epoch_time}s')\n", - " if animate:\n", - " plot(axarr, network, metrics, maxN=maxN)\n", - " plt.tight_layout()\n", - " camera.snap()\n", - " if i % 10 == 0:\n", - " camera.animate().save(\"animation.gif\", writer=\"imagemagick\", fps=8)\n", - " # HTML(camera.animate().to_html5_video())\n", - "if animate:\n", - " camera.animate().save(\"animation.gif\", writer=\"imagemagick\", fps=8)" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.8.3 ('venv': venv)", - "name": "python3" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/nbs/index.ipynb b/nbs/index.ipynb deleted file mode 100644 index 50ce0a6..0000000 --- a/nbs/index.ipynb +++ /dev/null @@ -1,322 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# hide\n", - "from neos.models import *\n", - "from neos.makers import *\n", - "from neos.transforms import *\n", - "from neos.fit import *\n", - "from neos.infer import *\n", - "from neos.smooth import *" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# neos\n", - "\n", - "> ~neural~ nice end-to-end optimized statistics" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "[![DOI](https://zenodo.org/badge/235776682.svg)](https://zenodo.org/badge/latestdoi/235776682) ![CI](https://github.com/pyhf/neos/workflows/CI/badge.svg) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/pyhf/neos/master?filepath=demo_training.ipynb)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\"neos" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![](assets/pyhf_3.gif)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## About\n", - "\n", - "Leverages the shoulders of giants ([`jax`](https://github.com/google/jax/), [`fax`](https://github.com/gehring/fax), and [`pyhf`](https://github.com/scikit-hep/pyhf)) to differentiate through a high-energy physics analysis workflow, including the construction of the frequentist profile likelihood.\n", - "\n", - "Documentation can be found at [gradhep.github.io/neos](gradhep.github.io/neos)!\n", - "\n", - "To see examples of `neos` in action, look for the notebooks in the nbs folder with the `demo_` prefix.\n", - "\n", - "If you're more of a video person, see [this talk](https://www.youtube.com/watch?v=3P4ZDkbleKs) given by [Nathan](https://github.com/phinate) on the broader topic of differentiable programming in high-energy physics, which also covers `neos`." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Install\n", - "\n", - "Just run\n", - "\n", - "```\n", - "python -m pip install neos\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Contributing\n", - "\n", - "**Please read** [`CONTRIBUTING.md`](https://github.com/pyhf/neos/blob/master/CONTRIBUTING.md) **before making a PR**, as this project is maintained using [`nbdev`](https://github.com/fastai/nbdev), which operates completely using Jupyter notebooks. One should make their changes in the corresponding notebooks in the [`nbs`](nbs) folder (including `README` changes -- see `nbs/index.ipynb`), and not in the library code, which is automatically generated." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example usage -- train a neural network to optimize an expected p-value" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# bunch of imports:\n", - "import time\n", - "\n", - "import jax\n", - "import jax.experimental.optimizers as optimizers\n", - "import jax.experimental.stax as stax\n", - "import jax.random\n", - "from jax.random import PRNGKey\n", - "import numpy as np\n", - "from functools import partial\n", - "\n", - "import pyhf\n", - "\n", - "pyhf.set_backend(\"jax\")\n", - "pyhf.default_backend = pyhf.tensor.jax_backend(precision=\"64b\")\n", - "\n", - "from neos import data, infer, makers\n", - "\n", - "rng = PRNGKey(22)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's start by making a basic neural network for regression with the `stax` module found in `jax`:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "init_random_params, predict = stax.serial(\n", - " stax.Dense(1024),\n", - " stax.Relu,\n", - " stax.Dense(1024),\n", - " stax.Relu,\n", - " stax.Dense(1),\n", - " stax.Sigmoid,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, let's compose a workflow that can make use of this network in a typical high-energy physics statistical analysis. \n", - "\n", - "Our workflow is as follows:\n", - "- From a set of normal distributions with different means, we'll generate four blobs of `(x,y)` points, corresponding to a signal process, a nominal background process, and two variations of the background from varying the background distribution's mean up and down.\n", - "- We'll then feed these points into the previously defined neural network for each blob, and construct a histogram of the output using kernel density estimation. The difference between the two background variations is used as a systematic uncertainty on the nominal background.\n", - "- We can then leverage the magic of `pyhf` to construct an [event-counting statistical model](https://scikit-hep.org/pyhf/intro.html#histfactory) from the histogram yields.\n", - "- Finally, we calculate the p-value of a test between the nominal signal and background-only hypotheses. This uses a [profile likelihood-based test statistic](https://arxiv.org/abs/1007.1727). \n", - "\n", - "In code, `neos` can specify this workflow through function composition:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# data generator\n", - "data_gen = data.generate_blobs(rng, blobs=4)\n", - "# histogram maker\n", - "hist_maker = makers.hists_from_nn(data_gen, predict, method=\"kde\")\n", - "# statistical model maker\n", - "model_maker = makers.histosys_model_from_hists(hist_maker)\n", - "# CLs value getter\n", - "get_cls = infer.expected_CLs(model_maker, solver_kwargs=dict(pdf_transform=True))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A peculiarity to note is that each of the functions used in this step actually return functions themselves. The reason we do this is that we need a skeleton of the workflow with all of the fixed parameters to be in place before calculating the loss function, as the only 'moving parts' here are the weights of the neural network." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`neos` also lets you specify hyperparameters for the histograms (e.g. binning, bandwidth) to allow these to be tuned throughout the learning process if neccesary (we don't do that here)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "bins = np.linspace(0, 1, 4) # three bins in the range [0,1]\n", - "bandwidth = 0.27 # smoothing parameter\n", - "get_loss = partial(get_cls, hyperparams=dict(bins=bins, bandwidth=bandwidth))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Our loss currently returns a list of metrics -- let's just index into the first one (the CLs value)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def loss(params, test_mu):\n", - " return get_loss(params, test_mu)[0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we just need to initialize the network's weights, and construct a training loop & optimizer:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# init weights\n", - "_, network = init_random_params(jax.random.PRNGKey(2), (-1, 2))\n", - "\n", - "# init optimizer\n", - "opt_init, opt_update, opt_params = optimizers.adam(1e-3)\n", - "\n", - "# define train loop\n", - "def train_network(N):\n", - " cls_vals = []\n", - " _, network = init_random_params(jax.random.PRNGKey(1), (-1, 2))\n", - " state = opt_init(network)\n", - " losses = []\n", - "\n", - " # parameter update function\n", - " def update_and_value(i, opt_state, mu):\n", - " net = opt_params(opt_state)\n", - " value, grad = jax.value_and_grad(loss)(net, mu)\n", - " return opt_update(i, grad, state), value, net\n", - "\n", - " for i in range(N):\n", - " start_time = time.time()\n", - " state, value, network = update_and_value(i, state, 1.0)\n", - " epoch_time = time.time() - start_time\n", - " losses.append(value)\n", - " metrics = {\"loss\": losses}\n", - " yield network, metrics, epoch_time" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "It's time to train!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "epoch 0: CLs = 0.06885, took 13.4896s\n", - "epoch 1: CLs = 0.03580, took 1.9772s\n", - "epoch 2: CLs = 0.01728, took 1.9912s\n", - "epoch 3: CLs = 0.00934, took 1.9947s\n", - "epoch 4: CLs = 0.00561, took 1.9548s\n", - "epoch 5: CLs = 0.00378, took 1.9761s\n", - "epoch 6: CLs = 0.00280, took 1.9500s\n", - "epoch 7: CLs = 0.00224, took 1.9844s\n", - "epoch 8: CLs = 0.00190, took 1.9913s\n", - "epoch 9: CLs = 0.00168, took 1.9928s\n" - ] - } - ], - "source": [ - "maxN = 10 # make me bigger for better results (*nearly* true ;])\n", - "\n", - "for i, (network, metrics, epoch_time) in enumerate(train_network(maxN)):\n", - " print(f\"epoch {i}:\", f'CLs = {metrics[\"loss\"][-1]:.5f}, took {epoch_time:.4f}s')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And there we go!\n", - "\n", - "You'll notice the first epoch seems to have a much larger training time. This is because `jax` is being used to just-in-time compile some of the code, which is an overhead that only needs to happen once.\n", - "\n", - "If you want to reproduce the full animation from the top of this README, a version of this code with plotting helpers can be found in [`demo_kde_pyhf.ipynb`](https://github.com/pyhf/neos/blob/master/demo_kde_pyhf.ipynb)! :D" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Thanks\n", - "\n", - "A big thanks to the teams behind [`jax`](https://github.com/google/jax/), [`fax`](https://github.com/gehring/fax), and [`pyhf`](https://github.com/scikit-hep/pyhf) for their software and support." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/src/neos/__init__.py b/src/neos/__init__.py index fe1a49d..85f9d32 100644 --- a/src/neos/__init__.py +++ b/src/neos/__init__.py @@ -1,6 +1,11 @@ from neos._version import version as __version__ -__all__ = ("__version__", "Pipeline", "experiments") +__all__ = ( + "__version__", + "hists_from_nn", + "loss_from_model", + "losses", +) -from neos import experiments -from neos.pipeline import Pipeline +from neos import losses +from neos.top_level import hists_from_nn, loss_from_model diff --git a/src/neos/experiments/__init__.py b/src/neos/experiments/__init__.py deleted file mode 100644 index 5de178b..0000000 --- a/src/neos/experiments/__init__.py +++ /dev/null @@ -1 +0,0 @@ -__all__ = "nn_observable" diff --git a/src/neos/experiments/nn_observable.py b/src/neos/experiments/nn_observable.py deleted file mode 100644 index 71482f0..0000000 --- a/src/neos/experiments/nn_observable.py +++ /dev/null @@ -1,790 +0,0 @@ -__all__ = ( - "generate_data", - "make_model", - "nn_summary_stat", - "plot", - "plot_setup", - "first_epoch", - "last_epoch", - "per_epoch", -) - -import jax -import jax.numpy as jnp -import jax.scipy as jsp -import matplotlib.pyplot as plt -import numpy as np -import pyhf -import relaxed -from celluloid import Camera -from jax.random import PRNGKey, multivariate_normal - - -def generate_data( - rng=0, - num_points=10000, - sig_mean=(-1, 1), - bup_mean=(2.5, 2), - bdown_mean=(-2.5, -1.5), - b_mean=(1, -1), -): - sig = multivariate_normal( - PRNGKey(rng), - jnp.asarray(sig_mean), - jnp.asarray([[1, 0], [0, 1]]), - shape=(num_points,), - ) - bkg_up = multivariate_normal( - PRNGKey(rng), - jnp.asarray(bup_mean), - jnp.asarray([[1, 0], [0, 1]]), - shape=(num_points,), - ) - bkg_down = multivariate_normal( - PRNGKey(rng), - jnp.asarray(bdown_mean), - jnp.asarray([[1, 0], [0, 1]]), - shape=(num_points,), - ) - - bkg_nom = multivariate_normal( - PRNGKey(rng), - jnp.asarray(b_mean), - jnp.asarray([[1, 0], [0, 1]]), - shape=(num_points,), - ) - return sig, bkg_nom, bkg_up, bkg_down - - -def make_model(s, b_nom, b_up, b_down, validate=False): - m = { - "channels": [ - { - "name": "singlechannel", - "samples": [ - { - "name": "signal", - "data": s, - "modifiers": [ - {"name": "mu", "type": "normfactor", "data": None}, - ], - }, - { - "name": "background", - "data": b_nom, - "modifiers": [ - { - "name": "correlated_bkg_uncertainty", - "type": "histosys", - "data": {"hi_data": b_up, "lo_data": b_down}, - }, - ], - }, - ], - }, - ], - } - return pyhf.Model(m, validate=validate) - - -def nn_summary_stat( - pars, - data, - nn, - bandwidth, - bins, - reflect=False, - sig_scale=2, - bkg_scale=10, - LUMI=10, - return_preds=False, - use_kde=True, - use_list=False, -): - s_data, b_nom_data, b_up_data, b_down_data = data - - preds = nn_s, nn_b_nom, nn_b_up, nn_b_down = ( - nn(pars, s_data).ravel(), - nn(pars, b_nom_data).ravel(), - nn(pars, b_up_data).ravel(), - nn(pars, b_down_data).ravel(), - ) - - num_points = len(s_data) - if use_kde: - yields = s, b_nom, b_up, b_down = [ - relaxed.hist(nn_s, bins, bandwidth, reflect_infinities=reflect) - * sig_scale - / num_points - * LUMI, - relaxed.hist(nn_b_nom, bins, bandwidth, reflect_infinities=reflect) - * bkg_scale - / num_points - * LUMI, - relaxed.hist(nn_b_up, bins, bandwidth, reflect_infinities=reflect) - * bkg_scale - / num_points - * LUMI, - relaxed.hist( - nn_b_down, - bins, - bandwidth, - reflect_infinities=reflect, - ) - * bkg_scale - / num_points - * LUMI, - ] - elif not use_kde: - yields = [ - np.histogram(nn_s, bins=bins)[0] * sig_scale / num_points * LUMI, - np.histogram(nn_b_nom, bins=bins)[0] * bkg_scale / num_points * LUMI, - np.histogram(nn_b_up, bins=bins)[0] * bkg_scale / num_points * LUMI, - np.histogram(nn_b_down, bins=bins)[0] * bkg_scale / num_points * LUMI, - ] - if use_list: - yields = [y.tolist() for y in yields] - else: - raise ValueError("use_kde must be True or False") - if return_preds: - return yields, preds - return yields - - -def make_kde(data, bw): - @jax.jit - def get_kde(x): - return jnp.mean( - jsp.stats.norm.pdf(x, loc=data.reshape(-1, 1), scale=bw), axis=0 - ) - - return get_kde - - -def bar_plot( - ax, data, colors=None, total_width=0.8, single_width=1, legend=True, bins=None -): - """Draws a bar plot with multiple bars per data point. - - Parameters - ---------- - ax : matplotlib.pyplot.axis - The axis we want to draw our plot on. - - data: dictionary - A dictionary containing the data we want to plot. Keys are the names of the - data, the items is a list of the values. - - Example: - data = { - "x":[1,2,3], - "y":[1,2,3], - "z":[1,2,3], - } - - colors : array-like, optional - A list of colors which are used for the bars. If None, the colors - will be the standard matplotlib color cyle. (default: None) - - total_width : float, optional, default: 0.8 - The width of a bar group. 0.8 means that 80% of the x-axis is covered - by bars and 20% will be spaces between the bars. - - single_width: float, optional, default: 1 - The relative width of a single bar within a group. 1 means the bars - will touch eachother within a group, values less than 1 will make - these bars thinner. - - legend: bool, optional, default: True - If this is set to true, a legend will be added to the axis. - """ - - # Check if colors where provided, otherwhise use the default color cycle - if colors is None: - colors = plt.rcParams["axes.prop_cycle"].by_key()["color"] - - # Number of bars per group - n_bars = len(data) - - # The width of a single bar - bar_width = total_width / n_bars - - # List containing handles for the drawn bars, used for the legend - bars = [] - - # Iterate over all data - for i, (_, values) in enumerate(data.items()): - # The offset in x direction of that bar - x_offset = (i - n_bars / 2) * bar_width + bar_width / 2 - - # Draw a bar for every value of that type - for x, y in enumerate(values): - bar = ax.bar( - x + x_offset, - y, - width=bar_width * single_width, - color=colors[i % len(colors)], - ) - - # Add a handle to the last drawn bar, which we'll need for the legend - bars.append(bar[0]) - - labels = [f"[{a:.1g},{b:.1g}]" for a, b in zip(bins[:-1], bins[1:])] - ax.set_xticks(range(len(labels))) - ax.set_xticklabels(labels) - - return bars, data.keys() - - -def plot( - network, - axs, - axins, - metrics, - maxN, - this_batch, - epoch_grid, - nn, - bins, - bandwidth, - batch_num, - legend=False, - reflect=False, - histlim=55, -): - if "Likelihood scan" in axs: - ax = axs["Likelihood scan"] - import cabinetry - - model = make_model(*metrics["yields"]) - bonly_pars = ( - jnp.asarray(model.config.suggested_init()) - .at[model.config.poi_index] - .set(0.0) - .tolist() - ) - data_hf = model.expected_data(bonly_pars) - scan_results = cabinetry.fit.scan( - model, data_hf, "mu", par_bounds=[[-2, 10], [-2, 10]] - ) - cabinetry.visualize.scan(scan_results, existing_ax=ax, legend=legend) - if "Expected limits" in axs: - # if batch_num != 0: - ax = axs["Expected limits"] - import cabinetry - - model = make_model(*metrics["yields"]) - bonly_pars = ( - jnp.asarray(model.config.suggested_init()) - .at[model.config.poi_index] - .set(0.0) - .tolist() - ) - data_hf = model.expected_data(bonly_pars) - - limit_results = cabinetry.fit.limit(model, data_hf, maxiter=1000) - cabinetry.visualize.limit(limit_results, existing_ax=ax, legend=legend) - - if "Data space" in axs: - ax = axs["Data space"] - g = np.mgrid[-5:5:101j, -5:5:101j] - if jnp.inf in bins: - levels = bins[1:-1] # infinite - else: - levels = bins - ax.contourf( - g[0], - g[1], - nn(network, np.moveaxis(g, 0, -1)).reshape(101, 101, 1)[:, :, 0], - levels=levels, - cmap="binary", - ) - ax.contour( - g[0], - g[1], - nn(network, np.moveaxis(g, 0, -1)).reshape(101, 101, 1)[:, :, 0], - colors="w", - levels=levels, - ) - sig, bkg_nom, bkg_up, bkg_down = this_batch - # should definitely not have to repeat this every time lmao - ax.scatter(sig[:, 0], sig[:, 1], alpha=0.3, c="C9", label="signal") - ax.scatter( - bkg_up[:, 0], - bkg_up[:, 1], - alpha=0.1, - c="orangered", - marker=6, - label="bkg up", - ) - ax.scatter( - bkg_down[:, 0], - bkg_down[:, 1], - alpha=0.1, - c="gold", - marker=7, - label="bkg down", - ) - ax.scatter(bkg_nom[:, 0], bkg_nom[:, 1], alpha=0.3, c="C1", label="bkg") - - ax.set_xlim(-5, 5) - ax.set_ylim(-5, 5) - ax.set_xlabel("x") - ax.set_ylabel("y") - if legend: - ax.legend(fontsize="x-small", loc="upper right", fancybox=True) - - # ax.axis("off") - x_grid = epoch_grid[: batch_num + 1] - if "Losses" in axs: - ax = axs["Losses"] - ax.plot( - epoch_grid[: batch_num + 1], - metrics["loss"], - c="C9", - linewidth=2.0, - label=r"train", - ) - ax.plot( - epoch_grid[: batch_num + 1], - metrics["test_loss"], - c="C4", - linewidth=2.0, - label=r"test", - ) - ax.set_yscale("log") - ax.set_xlim(0, maxN) - ax.set_xlabel("epoch") - ax.set_ylabel(r"loss value") - if legend: - ax.legend(fontsize="x-small", loc="upper right", fancybox=True) - - if "Metrics" in axs: - ax = axs["Metrics"] - ax.plot( - x_grid, - metrics["1-pull_width**2"], - c="slategray", - linewidth=2.0, - label=r"$(1-\sigma_{\mathsf{nuisance}})^2$", - # linestyle=":" - ) - ax.plot( - x_grid, - np.array(metrics["pull"]) ** 2, - c="C2", - linewidth=2.0, - label=r"(nuisance pull)$^2$", - # linestyle=':' - ) - ax.plot( - x_grid, - metrics["mu_uncert"], - c="steelblue", - linewidth=2.0, - label=r"$\sigma_\mu$", - ) - ax.plot(x_grid, metrics["CLs"], c="C9", linewidth=2, label=r"$CL_s$") - ax.set_ylim(1e-7, 1e-0) - ax.set_xlim(0, maxN) - ax.set_xlabel("epoch") - ax.set_yscale("log") - ax.set_ylabel(r"metric value (on test set)") - if legend: - ax.legend(fontsize="x-small", loc="upper right", fancybox=True) - if "Histogram model" in axs: - ax = axs["Histogram model"] - s, b, bup, bdown = metrics["yields"] - - if jnp.inf in bins: - noinf = bins[1:-1] - bin_width = 1 / (len(noinf) - 1) - centers = noinf[:-1] + np.diff(noinf) / 2.0 - centers = jnp.array([noinf[0] - bin_width, *centers, noinf[-1] + bin_width]) - - dct = { - "signal": s, - "bkg up": bup, - "bkg": b, - "bkg down": bdown, - } - - a, b = bar_plot( - ax, - dct, - colors=["C9", "orangered", "C1", "gold"], - total_width=0.8, - single_width=1, - legend=legend, - bins=bins, - ) - ax.set_ylabel("frequency") - ax.set_xlabel("interval over nn output") - ax.set_ylim(0, histlim) - # ax.axis("off") - - if legend: - # Draw legend if we need - # ax.legend(a, b, fontsize="x-small") - if jnp.inf in bins: - width = jnp.diff(noinf)[0] - else: - width = jnp.diff(bins)[0] - xlim = ( - [(width / 2) - (1.1 * bandwidth), (width / 2) + (1.1 * bandwidth)] - if (width / 2) - bandwidth < 0 - else [-width / 3, width + width / 3] - ) - axins.stairs([1], [0, width], color="C1", alpha=0.6) - y = jnp.linspace(xlim[0], xlim[1], 300) - demo = jsp.stats.norm.pdf(y, loc=width / 2, scale=bandwidth) - axins.plot( - y, demo / max(demo), color="C0", linestyle="dashed", label="kernel" - ) - # draw two vertical lines at ((width/2)-bandwidth)/2 and ((width/2)+bandwidth)/2 - axins.vlines( - [(width / 2) - bandwidth, (width / 2) + bandwidth], - 0, - 1, - colors="black", - linestyles="dotted", - label=r"$\pm$bandwidth", - alpha=0.9, - ) - # write text in the middle of the vertical lines with the value of the bandwidth - ratio = bandwidth / width - axins.text( - width / 2, - -0.3, - r"$\mathsf{\frac{bandwidth}{bin\,width}}=$" + f"{ratio:.2f}", - ha="center", - va="center", - size="x-small", - alpha=0.9, - ) - - axins.set_xlim(*xlim) - - handles, labels = a, list(b) # ax.get_legend_handles_labels() - handles1, labels1 = axins.get_legend_handles_labels() - ax.legend( - handles + handles1, - labels + labels1, - loc="upper right", - fontsize="x-small", - fancybox=True, - ) - - if "Nuisance pull" in axs: - ax = axs["Nuisance pull"] - - pulls = metrics["pull"] - pullerr = metrics["pull_width"] - - ax.set_ylabel(r"$(\theta - \hat{\theta})\,/ \Delta \theta$", fontsize=18) - - # draw the +/- 2.0 horizontal lines - ax.hlines([-2, 2], -0.5, len(pulls) - 0.5, colors="black", linestyles="dotted") - # draw the +/- 1.0 horizontal lines - ax.hlines([-1, 1], -0.5, len(pulls) - 0.5, colors="black", linestyles="dashdot") - # draw the +/- 2.0 sigma band - ax.fill_between([-0.5, len(pulls) - 0.5], [-2, -2], [2, 2], facecolor="yellow") - # drawe the +/- 1.0 sigma band - ax.fill_between([-0.5, len(pulls) - 0.5], [-1, -1], [1, 1], facecolor="green") - # draw a horizontal line at pull=0.0 - ax.hlines([0], -0.5, len(pulls) - 0.5, colors="black", linestyles="dashed") - - ax.scatter(range(len(pulls)), pulls, color="black") - # and their uncertainties - ax.errorbar( - range(len(pulls)), - pulls, - color="black", - xerr=0, - yerr=pullerr, - marker=".", - fmt="none", - ) - if "Example KDE" in axs: - ax = axs["Example KDE"] - b_data = bkg_nom - d = np.array(nn(network, b_data).ravel().tolist()) - kde = make_kde(d, bandwidth) - yields = b - ls = [-1, 2] - x = np.linspace(ls[0], ls[1], 300) - db = jnp.array(jnp.diff(bins), float) # bin spacing - yields = yields / db / yields.sum(axis=0) # normalize to bin width - if jnp.inf in bins: - pbins = [ls[0], *noinf, ls[1]] - else: - pbins = bins - ax.stairs(yields, pbins, label="KDE hist", color="C1") - if reflect: - ax.plot(x, 2 * jnp.abs(kde(x)), label="KDE", color="C0") - else: - ax.plot(x, kde(x), label="KDE", color="C0") - - ax.set_xlim(*ls) - - # rug plot of the data - ax.plot( - d, - jnp.zeros_like(d) - 0.01, - "|", - linewidth=3, - alpha=0.4, - color="black", - label="data", - ) - - if legend: - if jnp.inf in bins: - - width = jnp.diff(noinf)[0] - else: - width = jnp.diff(bins)[0] - xlim = ( - [(width / 2) - (1.1 * bandwidth), (width / 2) + (1.1 * bandwidth)] - if (width / 2) - bandwidth < 0 - else [-width / 3, width + width / 3] - ) - axins.stairs([1], [0, width], color="C1") - y = jnp.linspace(xlim[0], xlim[1], 300) - demo = jsp.stats.norm.pdf(y, loc=width / 2, scale=bandwidth) - axins.plot( - y, demo / max(demo), color="C0", linestyle="dashed", label="kernel" - ) - # draw two vertical lines at ((width/2)-bandwidth)/2 and ((width/2)+bandwidth)/2 - axins.vlines( - [(width / 2) - bandwidth, (width / 2) + bandwidth], - 0, - 1, - colors="black", - linestyles="dotted", - label=r"$\pm$bandwidth", - ) - # write text in the middle of the vertical lines with the value of the bandwidth - ratio = bandwidth / width - axins.text( - width / 2, - -0.3, - r"$\mathsf{\frac{bandwidth}{bin\,width}}=$" + f"{ratio:.2f}", - ha="center", - va="center", - size="x-small", - ) - - axins.set_xlim(*xlim) - - handles, labels = ax.get_legend_handles_labels() - handles1, labels1 = axins.get_legend_handles_labels() - ax.legend( - handles + handles1, - labels + labels1, - loc="upper right", - fontsize="x-small", - fancybox=True, - ) - - -def first_epoch( - network, - camera, - axs, - axins, - metrics, - maxN, - this_batch, - epoch_grid, - batch_num, - nn, - bins, - bandwidth, - histlim, - **kwargs, -): - plot( - axs=axs, - axins=axins, - network=network, - metrics=metrics, - maxN=maxN, - this_batch=this_batch, - batch_num=batch_num, - epoch_grid=epoch_grid, - nn=nn, - bins=bins, - bandwidth=bandwidth, - legend=True, - histlim=histlim, - ) - plt.tight_layout() - if camera is not None: - camera.snap() - return camera - - -def last_epoch( - network, - camera, - axs, - axins, - metrics, - maxN, - this_batch, - batch_num, - epoch_grid, - nn, - bins, - bandwidth, - pipeline, - histlim, - **kwargs, -): - plot( - axs=axs, - axins=axins, - network=network, - metrics=metrics, - maxN=maxN, - this_batch=this_batch, - epoch_grid=epoch_grid, - batch_num=batch_num, - nn=nn, - bins=bins, - bandwidth=bandwidth, - histlim=histlim, - legend=False, - ) - plt.tight_layout() - if camera is not None: - camera.snap() - - defaults = { - "layout": [ - ["Data space", "Histogram model"], - ["Losses", "Metrics"], - ] - } - if pipeline.plot_kwargs is not None: - for k in defaults: - if k in pipeline.plot_kwargs: - defaults[k] = pipeline.plot_kwargs[k] - fig2, axs2 = plt.subplot_mosaic(defaults["layout"]) - - for label, ax in axs2.items(): - ax.set_title(label, fontstyle="italic") - if "Histogram model" in axs2: - axins2 = axs2["Histogram model"].inset_axes([0.33, 0.79, 0.3, 0.2]) - axins2.axis("off") - else: - axins2 = None - plot( - axs=axs2, - axins=axins2, - network=network, - metrics=metrics, - maxN=maxN, - this_batch=this_batch, - nn=nn, - epoch_grid=epoch_grid, - batch_num=batch_num, - bins=bins, - bandwidth=bandwidth, - legend=True, - histlim=histlim, - ) - plt.tight_layout() - fig2.savefig(f"{pipeline.plot_name}") - return camera - - -def per_epoch( - network, - camera, - axs, - axins, - metrics, - maxN, - this_batch, - epoch_grid, - batch_num, - nn, - bins, - bandwidth, - histlim, - **kwargs, -): - plot( - axs=axs, - axins=axins, - network=network, - metrics=metrics, - maxN=maxN, - this_batch=this_batch, - epoch_grid=epoch_grid, - batch_num=batch_num, - nn=nn, - bins=bins, - bandwidth=bandwidth, - legend=False, - histlim=histlim, - ) - plt.tight_layout() - if camera is not None: - camera.snap() - return camera - - -def plot_setup(pipeline): - plt.style.use("default") - - defaults = { - "layout": [ - ["Data space", "Histogram model"], - ["Losses", "Metrics"], - ] - } - if pipeline.plot_kwargs is not None: - for k in defaults: - if k in pipeline.plot_kwargs: - defaults[k] = pipeline.plot_kwargs[k] - - plt.rcParams.update( - { - "axes.labelsize": 13, - "axes.linewidth": 1.2, - "xtick.labelsize": 13, - "ytick.labelsize": 13, - "figure.figsize": [10.0, 10.0], - "font.size": 13, - "xtick.major.size": 3, - "ytick.major.size": 3, - "legend.fontsize": 11, - "legend.fancybox": True, - } - ) - - plt.rc("figure", dpi=150) - - fig, axs = plt.subplot_mosaic(defaults["layout"]) - - for label, ax in axs.items(): - ax.set_title(label, fontstyle="italic") - # axs["Example KDE"].set_title("Example KDE (nominal bkg)", fontstyle="italic") - if "Histogram model" in axs: - axins = axs["Histogram model"].inset_axes([0.33, 0.79, 0.3, 0.2]) - axins.axis("off") - axins_cpy = axins - else: - axins = axins_cpy = None - ax_cpy = axs - if pipeline.animate: - camera = Camera(fig) - else: - camera = None - plt.suptitle(pipeline.plot_title, fontsize="x-large") - return dict( - camera=camera, axs=axs, axins=axins, ax_cpy=ax_cpy, axins_cpy=axins_cpy, fig=fig - ) diff --git a/src/neos/losses.py b/src/neos/losses.py new file mode 100644 index 0000000..a9cf55f --- /dev/null +++ b/src/neos/losses.py @@ -0,0 +1,87 @@ +from __future__ import annotations + +__all__ = ( + "poi_uncert", + "discovery_significance", + "cls_value", + "generalised_variance", + "bce", +) + +import jax.numpy as jnp +import pyhf +import relaxed + +Array = jnp.ndarray + + +def poi_uncert(model: pyhf.Model) -> float: + hypothesis_pars = ( + jnp.asarray(model.config.suggested_init()).at[model.config.poi_index].set(1.0) + ) + observed_hist = jnp.asarray(model.expected_data(hypothesis_pars)) + return relaxed.cramer_rao_uncert(model, hypothesis_pars, observed_hist)[ + model.config.poi_index + ] + + +def discovery_significance(model: pyhf.Model, fit_lr: float) -> float: + test_stat = "q0" + test_poi = 0.0 # background-only as the alternative + # nominal s+b as the null + hypothesis_pars = ( + jnp.asarray(model.config.suggested_init()).at[model.config.poi_index].set(1.0) + ) + observed_hist = jnp.asarray(model.expected_data(hypothesis_pars)) + return relaxed.infer.hypotest( + test_poi=test_poi, + data=observed_hist, + model=model, + test_stat=test_stat, + expected_pars=hypothesis_pars, + lr=fit_lr, + ) + + +def cls_value(model: pyhf.Model, fit_lr: float) -> float: + test_stat = "q" + test_poi = 1.0 # nominal s+b as the null + # background-only as the alternative + hypothesis_pars = ( + jnp.asarray(model.config.suggested_init()).at[model.config.poi_index].set(0.0) + ) + observed_hist = jnp.asarray(model.expected_data(hypothesis_pars)) + return relaxed.infer.hypotest( + test_poi=test_poi, + data=observed_hist, + model=model, + test_stat=test_stat, + expected_pars=hypothesis_pars, + lr=fit_lr, + ) + + +def generalised_variance(model: pyhf.Model) -> float: + hypothesis_pars = ( + jnp.asarray(model.config.suggested_init()).at[model.config.poi_index].set(0.0) + ) + observed_hist = jnp.asarray(model.expected_data(hypothesis_pars)) + return 1 / jnp.linalg.det( + relaxed.fisher_info(model, hypothesis_pars, observed_hist) + ) + + +def sigmoid_cross_entropy_with_logits(preds, labels): + return jnp.mean( + jnp.maximum(preds, 0) - preds * labels + jnp.log1p(jnp.exp(-jnp.abs(preds))) + ) + + +def bce(data, nn, pars): + preds = {k: nn(pars, data[k]).ravel() for k in data} + bkg = jnp.concatenate([preds[k] for k in preds if "sig" not in k]) + sig = preds["sig"] + labels = jnp.concatenate([jnp.ones_like(sig), jnp.zeros_like(bkg)]) + return sigmoid_cross_entropy_with_logits( + jnp.concatenate(list(preds.values())).ravel(), labels + ).mean() diff --git a/src/neos/pipeline.py b/src/neos/pipeline.py deleted file mode 100644 index 00a3aec..0000000 --- a/src/neos/pipeline.py +++ /dev/null @@ -1,320 +0,0 @@ -from __future__ import annotations - -from copy import copy - -__all__ = ("Pipeline",) - -import time -from functools import partial -from typing import Any, Callable, NamedTuple - -import jax.numpy as jnp -import jaxopt -import numpy.random as npr -import optax -import pyhf -import relaxed -from chex import Array -from jax import jit -from sklearn.model_selection import train_test_split - -from neos.utils import isnotebook - -in_jupyter = isnotebook() -if in_jupyter: - from IPython import display - - -@partial( - jit, - static_argnames=[ - "model", - "test_stat", - "return_mle_pars", - "return_constrained_pars", - ], -) # forward pass -def hypotest( - test_poi: float, - data: Array, - model: pyhf.Model, - lr: float, - bonly_pars: Array, - test_stat: str = "qmu", - return_constrained_pars: bool = False, -) -> tuple[Array, Array] | Array: - # hard-code 1 as inits for now - # TODO: need to parse different inits for constrained and global fits - init_pars = jnp.asarray(model.config.suggested_init())[ - model.config.par_slice("correlated_bkg_uncertainty") - ] - conditional_pars = relaxed.mle.fixed_poi_fit( - data, model, poi_condition=test_poi, init_pars=init_pars, lr=lr - ) - mle_pars = bonly_pars - if test_stat == "qmu": - profile_likelihood = -2 * ( - model.logpdf(conditional_pars, data)[0] - model.logpdf(mle_pars, data)[0] - ) - - poi_hat = mle_pars[model.config.poi_index] - tstat = jnp.where(poi_hat < test_poi, profile_likelihood, 0.0) - - CLsb = 1 - pyhf.tensorlib.normal_cdf(jnp.sqrt(tstat)) - altval = 0.0 - CLb = 1 - pyhf.tensorlib.normal_cdf(altval) - CLs = CLsb / CLb - if return_constrained_pars: - return CLs, conditional_pars - else: - return CLs - - -class Pipeline(NamedTuple): - """Class to compose the pipeline for training a learnable summary statistic.""" - - yields_from_pars: Callable[..., tuple[Array, ...]] - model_from_yields: Callable[..., pyhf.Model] - init_pars: Array - nn: Callable[..., Any] | None = None - data: Array | None = None - yield_kwargs: dict[str, Any] | None = None - nuisance_parname: str = "correlated_bkg_uncertainty" - random_state: int = 0 - num_epochs: int = 20 - batch_size: int = 500 - learning_rate: float = 0.001 - optimizer: str = "adam" - loss: Callable[[dict], float] = lambda x: x["CLs"] - test_size: float = 0.2 - per_epoch_callback: Callable = lambda x: None - first_epoch_callback: Callable = lambda x: None - last_epoch_callback: Callable = lambda x: None - post_training_callback: Callable = lambda x: None - plot_setup: Callable = lambda x: None - possible_metrics: tuple[str, ...] = ( - "CLs", - "mu_uncert", - "1-pull_width**2", - "gaussianity", - ) - animate: bool = True - plot_name: str = "neos_demo.png" - animation_name: str = "neos_demo.gif" - plot_title: str | None = None - plot_kwargs: dict | None = None - float_bin_edges: bool = False - return_pars: bool = (False,) - data_generator: dict[str, Any] | None = (None,) - - def run(self): - pyhf.set_backend("jax", default=True) - - def pipeline(pars, data, test=False): - if self.float_bin_edges: - nn_pars, bins = pars - elif not self.float_bin_edges: - nn_pars = pars - bins = self.yield_kwargs["bins"] - else: - raise ValueError("float_bin_edges must be either True or False") - - ykw = copy(self.yield_kwargs) if self.yield_kwargs is not None else {} - del ykw["bins"] - ykw["use_kde"] = not test - yields = self.yields_from_pars(nn_pars, data, self.nn, bins=bins, **ykw) - model = self.model_from_yields(*yields) # , validate = test) - state: dict[str, Any] = {} - state["yields"] = yields - bonly_pars = ( - jnp.asarray(model.config.suggested_init()) - .at[model.config.poi_index] - .set(0.0) - ) - data_hf = jnp.asarray(model.expected_data(bonly_pars)) - state["CLs"], constrained = hypotest( - 1.0, - data_hf, - model, - return_constrained_pars=True, - bonly_pars=bonly_pars, - lr=1e-2, - ) - uncerts = relaxed.cramer_rao_uncert(model, bonly_pars, data_hf) - state["mu_uncert"] = uncerts[model.config.poi_index] - pull_width = uncerts[model.config.par_slice(self.nuisance_parname)][0] - state["pull_width"] = pull_width - state["1-pull_width**2"] = (1 - pull_width) ** 2 - # state["gaussianity"] = relaxed.gaussianity(model, bonly_pars, data, rng_key=PRNGKey(self.random_state)) - state["pull"] = jnp.array( - [ - (constrained - jnp.array(model.config.suggested_init()))[ - model.config.par_order.index(k) - ] - / model.config.param_set(k).width()[0] - for k in model.config.par_order - if model.config.param_set(k).constrained - ] - )[0] - state["data"] = data - state["pars"] = pars - state["nn"] = self.nn - loss = self.loss(state) - del state["data"] - del state["nn"] - state["loss"] = loss - return loss, state - - if self.data is None: - data = self.data_generator["function"](self.data_generator["args"]) - elif self.data is not None: - data = self.data - else: - raise ValueError("data must be either None or an array") - split = train_test_split( - *data, test_size=self.test_size, random_state=self.random_state - ) - train, test = split[::2], split[1::2] - - num_train = train[0].shape[0] - num_complete_batches, leftover = divmod(num_train, self.batch_size) - num_batches = num_complete_batches + bool(leftover) - - # batching mechanism - def data_stream(): - rng = npr.RandomState(self.random_state) - while True: - perm = rng.permutation(num_train) - for i in range(num_batches): - batch_idx = perm[i * self.batch_size : (i + 1) * self.batch_size] - yield [points[batch_idx] for points in train] - - batches = data_stream() - - solver = jaxopt.OptaxSolver( - fun=pipeline, opt=optax.adam(self.learning_rate), has_aux=True, jit=True - ) - state = solver.init_state(init_params=self.init_pars) - params = self.init_pars - - pkw = copy(self.plot_kwargs) if self.plot_kwargs is not None else {} - pkw["histlim"] = 100 if "histlim" not in pkw else pkw["histlim"] - plot_kwargs = self.plot_setup(self) - - epoch_grid = jnp.linspace(0, self.num_epochs, num_batches * self.num_epochs) - metrics = { - "CLs": [], - "mu_uncert": [], - "1-pull_width**2": [], - "loss": [], - "test_loss": [], - "pull": [], - "epoch_grid": [], - # "pars": {}, - } - if self.return_pars: - metrics["pars"] = {} - metric_keys = list(metrics.keys()) - for epoch_num in range(self.num_epochs): - print(f"epoch {epoch_num}/{self.num_epochs}: {num_batches} batches") - for batch_num in range(num_batches): - print(f"batch {batch_num+1}/{num_batches}:") - batch_data = next(batches) - start = time.perf_counter() - params, state = solver.update( - params=params, state=state, data=batch_data - ) - end = time.perf_counter() - test_loss, test_metrics = pipeline(pars=params, data=test, test=True) - t = end - start - for key in test_metrics: - if key == "loss": - metrics["loss"].append(state.aux[key]) - metrics["test_loss"].append(test_loss) - elif key == "pars": - continue - else: - if key in metric_keys: - metrics[key].append(test_metrics[key]) - else: - metrics[key] = test_metrics[key] - - if in_jupyter: - display.clear_output(wait=True) - batch_loss = state.aux["loss"] - print(f"epoch {epoch_num}/{self.num_epochs}: {num_batches} batches") - print(f"batch {batch_num+1}/{num_batches} took {t:.4f}s.") - print() - print(f"batch loss: {batch_loss:.3g}") - print("metrics evaluated on test set:") - for k, v in test_metrics.items(): - if k == "yields": - print("yields:") - for label, yields in zip(["s", "b", "bup", "bdown"], v): - print(" ", end="") - print(f"{label} = [", end="") - for i, count in enumerate(yields): - if i == len(yields) - 1: - print(f"{count:.3g}", end="") - else: - print(f"{count:.3g}, ", end="") - print("]") - - elif k == "pars": - continue - else: - print(f"{k} = {v:.3g}") - print() - - if batch_num + epoch_num == 0: - if self.animate: - plot_kwargs["camera"] = self.first_epoch_callback( - params, - this_batch=test, - metrics=metrics, - maxN=self.num_epochs, - batch_num=batch_num, - epoch_grid=epoch_grid, - nn=self.nn, - **self.yield_kwargs, - **plot_kwargs, - **pkw, - ) - elif batch_num + epoch_num == num_batches - 1 + self.num_epochs - 1: - plot_kwargs["camera"] = self.last_epoch_callback( - params, - this_batch=test, - metrics=metrics, - maxN=self.num_epochs, - batch_num=batch_num + (epoch_num * num_batches), - epoch_grid=epoch_grid, - nn=self.nn, - pipeline=self, - **self.yield_kwargs, - **plot_kwargs, - **pkw, - ) - else: - if self.animate: - plot_kwargs["camera"] = self.per_epoch_callback( - params, - this_batch=test, - metrics=metrics, - maxN=self.num_epochs, - batch_num=batch_num + (epoch_num * num_batches), - nn=self.nn, - epoch_grid=epoch_grid, - **self.yield_kwargs, - **plot_kwargs, - **pkw, - ) - if "pars" in metrics: - metrics["pars"]["post-epoch-" + str(epoch_num)] = test_metrics["pars"] - if self.animate: - ani = plot_kwargs["camera"].animate() - ani.save(f"{self.animation_name}", writer="imagemagick", fps=10) - return ani, metrics - if self.return_pars: - return metrics - else: - return test_metrics diff --git a/src/neos/top_level.py b/src/neos/top_level.py new file mode 100644 index 0000000..bdb234c --- /dev/null +++ b/src/neos/top_level.py @@ -0,0 +1,82 @@ +from __future__ import annotations + +__all__ = ( + "loss_from_model", + "hists_from_nn", +) + +from functools import partial +from typing import Any, Callable + +import jax.numpy as jnp +import pyhf +import relaxed + +from neos.losses import ( + cls_value, + discovery_significance, + generalised_variance, + poi_uncert, +) + +Array = jnp.ndarray + + +def hists_from_nn( + pars: Array, + data: dict[str, Array], + nn: Callable, + bandwidth: float, + bins: Array, + scale_factors: dict[str, float] | None = None, + overall_scale: float = 1.0, +) -> dict[str, Array]: + """Function that takes in data + analysis config parameters, and constructs yields.""" + # apply the neural network to each data sample, and keep track of the sample names in a dict + nn_output = {k: nn(pars, data[k]).ravel() for k in data} + + # The next two lines allow you to also optimise your binning: + bins_new = jnp.concatenate( + ( + jnp.array([bins[0]]), + jnp.where(bins[1:] > bins[:-1], bins[1:], bins[:-1] + 1e-4), + ), + axis=0, + ) + # define our histogram-maker with some hyperparameters (bandwidth, binning) + make_hist = partial(relaxed.hist, bandwidth=bandwidth, bins=bins_new) + + # every histogram is scaled to the number of points from that data source in the batch + # so we have more control over the scaling of sig/bkg for realism + scale_factors = scale_factors or {k: 1.0 for k in nn_output} + hists = { + k: make_hist(nn_output[k]) * scale_factors[k] * overall_scale / len(v) + + 1e-3 # add a floor so no zeros in any bin! + for k, v in nn_output.items() + } + return hists + + +def loss_from_model( + model: pyhf.Model, + loss: str | Callable[[dict[str, Any]], float] = "neos", + fit_lr: float = 1e-3, +) -> float: + if isinstance(loss, Callable): + # everything + return 0 + # loss specific + if loss.lower() == "discovery": + return discovery_significance(model, fit_lr) + elif loss.lower() in ["neos", "cls"]: + return cls_value(model, fit_lr) + elif loss.lower() in ["inferno", "poi_uncert", "mu_uncert"]: + return poi_uncert(model) + elif loss.lower() in [ + "general_variance", + "generalised_variance", + "generalized_variance", + ]: + return generalised_variance(model) + else: + raise ValueError(f"loss function {loss} not recognised") diff --git a/src/neos/utils.py b/src/neos/utils.py deleted file mode 100644 index 64d67cd..0000000 --- a/src/neos/utils.py +++ /dev/null @@ -1,27 +0,0 @@ -import pprint - - -# https://stackoverflow.com/questions/44356693/pprint-with-custom-float-formats -class FormatPrinter(pprint.PrettyPrinter): - def __init__(self, formats): - super().__init__() - self.formats = formats - - def format(self, obj, ctx, maxlvl, lvl): - if type(obj) in self.formats: - return self.formats[type(obj)] % obj, 1, 0 - return pprint.PrettyPrinter.format(self, obj, ctx, maxlvl, lvl) - - -# https://stackoverflow.com/questions/15411967/how-can-i-check-if-code-is-executed-in-the-ipython-notebook # fmt: skip -def isnotebook(): - try: - shell = get_ipython().__class__.__name__ - if shell == "ZMQInteractiveShell": - return True # Jupyter notebook or qtconsole - elif shell == "TerminalInteractiveShell": - return False # Terminal running IPython - else: - return False # Other type (?) - except NameError: - return False # Probably standard Python interpreter