diff --git a/examples/00_HH_simulator.ipynb b/examples/00_HH_simulator.ipynb
index ab4830733..778bf67bc 100644
--- a/examples/00_HH_simulator.ipynb
+++ b/examples/00_HH_simulator.ipynb
@@ -6,26 +6,30 @@
"source": [
"# Inference on Hodgkin-Huxley model: tutorial\n",
"\n",
- "In this tutorial, we use `sbi` to do inference on a [Hodgkin-Huxley model](https://en.wikipedia.org/wiki/Hodgkin%E2%80%93Huxley_model) from neuroscience (Hodgkin and Huxley, 1952). We will learn two parameters ($\\bar g_{Na}$,$\\bar g_K$) based on a current-clamp recording, that we generate synthetically (in practice, this would be an experimental observation)."
+ "In this tutorial, we use `sbi` to do inference on a [Hodgkin-Huxley\n",
+ "model](https://en.wikipedia.org/wiki/Hodgkin%E2%80%93Huxley_model) from\n",
+ "neuroscience (Hodgkin and Huxley, 1952). We will learn two parameters ($\\bar\n",
+ "g_{Na}$,$\\bar g_K$) based on a current-clamp recording, that we generate\n",
+ "synthetically (in practice, this would be an experimental observation).\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Note, you find the original version of this notebook at [https://github.com/sbi-dev/sbi/blob/main/examples/00_HH_simulator.ipynb](https://github.com/sbi-dev/sbi/blob/main/examples/00_HH_simulator.ipynb) in the `sbi` repository."
+ "Note, you find the original version of this notebook at [https://github.com/sbi-dev/sbi/blob/main/examples/00_HH_simulator.ipynb](https://github.com/sbi-dev/sbi/blob/main/examples/00_HH_simulator.ipynb) in the `sbi` repository.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "First we are going to import basic packages."
+ "First we are going to import basic packages.\n"
]
},
{
"cell_type": "code",
- "execution_count": 49,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -44,7 +48,7 @@
},
{
"cell_type": "code",
- "execution_count": 50,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -63,7 +67,7 @@
"\n",
"1. observed data\n",
"1. prior over model parameters\n",
- "2. simulator"
+ "1. simulator\n"
]
},
{
@@ -74,16 +78,15 @@
"\n",
"Let us assume we current-clamped a neuron and recorded the following voltage trace:\n",
"\n",
- "\n",
"\n",
- " "
+ " \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "In fact, this voltage trace was not measured experimentally but synthetically generated by simulating a Hodgkin-Huxley model with particular parameters ($\\bar g_{Na}$,$\\bar g_K$). We will come back to this point later in the tutorial."
+ "In fact, this voltage trace was not measured experimentally but synthetically generated by simulating a Hodgkin-Huxley model with particular parameters ($\\bar g_{Na}$,$\\bar g_K$). We will come back to this point later in the tutorial.\n"
]
},
{
@@ -92,7 +95,7 @@
"source": [
"## 2. Simulator\n",
"\n",
- "We would like to infer the posterior over the two parameters ($\\bar g_{Na}$,$\\bar g_K$) of a Hodgkin-Huxley model, given the observed electrophysiological recording above. The model has channel kinetics as in [Pospischil et al. 2008](https://link.springer.com/article/10.1007/s00422-008-0263-8), and is defined by the following set of differential equations (parameters of interest highlighted in orange):"
+ "We would like to infer the posterior over the two parameters ($\\bar g_{Na}$,$\\bar g_K$) of a Hodgkin-Huxley model, given the observed electrophysiological recording above. The model has channel kinetics as in [Pospischil et al. 2008](https://link.springer.com/article/10.1007/s00422-008-0263-8), and is defined by the following set of differential equations (parameters of interest highlighted in orange):\n"
]
},
{
@@ -110,44 +113,44 @@
" \\sigma\\eta\\left(t\\right)\\\\\n",
"\\frac{dq}{dt}&=\\frac{q_\\infty\\left(V\\right)-q}{\\tau_q\\left(V\\right)},\\;q\\in\\{m,h,n,p\\}\n",
"\\end{align}\n",
- "$$"
+ "$$\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Above, $V$ represents the membrane potential, $C_m$ is the membrane capacitance, $g_{\\text{l}}$ is the leak conductance, $E_{\\text{l}}$ is the membrane reversal potential, $\\bar{g}_c$ is the density of channels of type $c$ ($\\text{Na}^+$, $\\text{K}^+$, M), $E_c$ is the reversal potential of $c$, ($m$, $h$, $n$, $p$) are the respective channel gating kinetic variables, and $\\sigma \\eta(t)$ is the intrinsic neural noise. The right hand side of the voltage dynamics is composed of a leak current, a voltage-dependent $\\text{Na}^+$ current, a delayed-rectifier $\\text{K}^+$ current, a slow voltage-dependent $\\text{K}^+$ current responsible for spike-frequency adaptation, and an injected current $I_{\\text{inj}}$. Channel gating variables $q$ have dynamics fully characterized by the neuron membrane potential $V$, given the respective steady-state $q_{\\infty}(V)$ and time constant $\\tau_{q}(V)$ (details in Pospischil et al. 2008)."
+ "Above, $V$ represents the membrane potential, $C_m$ is the membrane capacitance, $g_{\\text{l}}$ is the leak conductance, $E_{\\text{l}}$ is the membrane reversal potential, $\\bar{g}_c$ is the density of channels of type $c$ ($\\text{Na}^+$, $\\text{K}^+$, M), $E_c$ is the reversal potential of $c$, ($m$, $h$, $n$, $p$) are the respective channel gating kinetic variables, and $\\sigma \\eta(t)$ is the intrinsic neural noise. The right hand side of the voltage dynamics is composed of a leak current, a voltage-dependent $\\text{Na}^+$ current, a delayed-rectifier $\\text{K}^+$ current, a slow voltage-dependent $\\text{K}^+$ current responsible for spike-frequency adaptation, and an injected current $I_{\\text{inj}}$. Channel gating variables $q$ have dynamics fully characterized by the neuron membrane potential $V$, given the respective steady-state $q_{\\infty}(V)$ and time constant $\\tau_{q}(V)$ (details in Pospischil et al. 2008).\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The input current $I_{\\text{inj}}$ is defined as"
+ "The input current $I_{\\text{inj}}$ is defined as\n"
]
},
{
"cell_type": "code",
- "execution_count": 51,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from HH_helper_functions import syn_current\n",
"\n",
- "I, t_on, t_off, dt, t, A_soma = syn_current()"
+ "I_inj, t_on, t_off, dt, t, A_soma = syn_current()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The Hodgkin-Huxley simulator is given by:"
+ "The Hodgkin-Huxley simulator is given by:\n"
]
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -158,12 +161,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Putting the input current and the simulator together:"
+ "Putting the input current and the simulator together:\n"
]
},
{
"cell_type": "code",
- "execution_count": 65,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
@@ -172,28 +175,28 @@
" params = np.asarray(params)\n",
"\n",
" # input current, time step\n",
- " I, t_on, t_off, dt, t, A_soma = syn_current()\n",
+ " I_inj, t_on, t_off, dt, t, A_soma = syn_current()\n",
"\n",
- " t = np.arange(0, len(I), 1) * dt\n",
+ " t = np.arange(0, len(I_inj), 1) * dt\n",
"\n",
" # initial voltage\n",
" V0 = -70\n",
"\n",
- " states = HHsimulator(V0, params.reshape(1, -1), dt, t, I)\n",
+ " states = HHsimulator(V0, params.reshape(1, -1), dt, t, I_inj)\n",
"\n",
- " return dict(data=states.reshape(-1), time=t, dt=dt, I=I.reshape(-1))"
+ " return dict(data=states.reshape(-1), time=t, dt=dt, I_inj=I_inj.reshape(-1))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "To get an idea of the output of the Hodgkin-Huxley model, let us generate some voltage traces for different parameters ($\\bar g_{Na}$,$\\bar g_K$), given the input current $I_{\\text{inj}}$:"
+ "To get an idea of the output of the Hodgkin-Huxley model, let us generate some voltage traces for different parameters ($\\bar g_{Na}$,$\\bar g_K$), given the input current $I_{\\text{inj}}$:\n"
]
},
{
"cell_type": "code",
- "execution_count": 69,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -201,26 +204,24 @@
"params = np.array([[50.0, 1.0], [4.0, 1.5], [20.0, 15.0]])\n",
"\n",
"num_samples = len(params[:, 0])\n",
- "sim_samples = np.zeros((num_samples, len(I)))\n",
+ "sim_samples = np.zeros((num_samples, len(I_inj)))\n",
"for i in range(num_samples):\n",
" sim_samples[i, :] = run_HH_model(params=params[i, :])[\"data\"]"
]
},
{
"cell_type": "code",
- "execution_count": 70,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -241,12 +242,12 @@
"ax.set_yticks([-80, -20, 40])\n",
"\n",
"ax = plt.subplot(gs[1])\n",
- "plt.plot(t, I * A_soma * 1e3, \"k\", lw=2)\n",
+ "plt.plot(t, I_inj * A_soma * 1e3, \"k\", lw=2)\n",
"plt.xlabel(\"time (ms)\")\n",
"plt.ylabel(\"input (nA)\")\n",
"\n",
"ax.set_xticks([0, max(t) / 2, max(t)])\n",
- "ax.set_yticks([0, 1.1 * np.max(I * A_soma * 1e3)])\n",
+ "ax.set_yticks([0, 1.1 * np.max(I_inj * A_soma * 1e3)])\n",
"ax.yaxis.set_major_formatter(mpl.ticker.FormatStrFormatter(\"%.2f\"))\n",
"plt.show()"
]
@@ -255,19 +256,19 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "As can be seen, the voltage traces can be quite diverse for different parameter values."
+ "As can be seen, the voltage traces can be quite diverse for different parameter values.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Often, we are not interested in matching the exact trace, but only in matching certain features thereof. In this example of the Hodgkin-Huxley model, the summary features are the number of spikes, the mean resting potential, the standard deviation of the resting potential, and the first four voltage moments: mean, standard deviation, skewness and kurtosis. Using the function `calculate_summary_statistics()` imported below, we obtain these statistics from the output of the Hodgkin Huxley simulator. "
+ "Often, we are not interested in matching the exact trace, but only in matching certain features thereof. In this example of the Hodgkin-Huxley model, the summary features are the number of spikes, the mean resting potential, the standard deviation of the resting potential, and the first four voltage moments: mean, standard deviation, skewness and kurtosis. Using the function `calculate_summary_statistics()` imported below, we obtain these statistics from the output of the Hodgkin Huxley simulator.\n"
]
},
{
"cell_type": "code",
- "execution_count": 71,
+ "execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
@@ -278,12 +279,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Lastly, we define a function that performs all of the above steps at once. The function `simulation_wrapper` takes in conductance values, runs the Hodgkin Huxley model and then returns the summary statistics."
+ "Lastly, we define a function that performs all of the above steps at once. The function `simulation_wrapper` takes in conductance values, runs the Hodgkin Huxley model and then returns the summary statistics.\n"
]
},
{
"cell_type": "code",
- "execution_count": 72,
+ "execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
@@ -302,7 +303,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "`sbi` takes any function as simulator. Thus, `sbi` also has the flexibility to use simulators that utilize external packages, e.g., Brian (http://briansimulator.org/), nest (https://www.nest-simulator.org/), or NEURON (https://neuron.yale.edu/neuron/). External simulators do not even need to be Python-based as long as they store simulation outputs in a format that can be read from Python. All that is necessary is to wrap your external simulator of choice into a Python callable that takes a parameter set and outputs a set of summary statistics we want to fit the parameters to."
+ "`sbi` takes any function as simulator. Thus, `sbi` also has the flexibility to use simulators that utilize external packages, e.g., Brian (http://briansimulator.org/), nest (https://www.nest-simulator.org/), or NEURON (https://neuron.yale.edu/neuron/). External simulators do not even need to be Python-based as long as they store simulation outputs in a format that can be read from Python. All that is necessary is to wrap your external simulator of choice into a Python callable that takes a parameter set and outputs a set of summary statistics we want to fit the parameters to.\n"
]
},
{
@@ -311,12 +312,12 @@
"source": [
"## 3. Prior over model parameters\n",
"\n",
- "Now that we have the simulator, we need to define a function with the prior over the model parameters ($\\bar g_{Na}$,$\\bar g_K$), which in this case is chosen to be a Uniform distribution:"
+ "Now that we have the simulator, we need to define a function with the prior over the model parameters ($\\bar g_{Na}$,$\\bar g_K$), which in this case is chosen to be a Uniform distribution:\n"
]
},
{
"cell_type": "code",
- "execution_count": 73,
+ "execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
@@ -332,23 +333,24 @@
"metadata": {},
"source": [
"## Inference\n",
- "Now that we have all the required components, we can run inference with SNPE to identify parameters whose activity matches this trace."
+ "\n",
+ "Now that we have all the required components, we can run inference with SNPE to identify parameters whose activity matches this trace.\n"
]
},
{
"cell_type": "code",
- "execution_count": 74,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "236e10175c024404ab437886d467b021",
+ "model_id": "340b3db396c44d1e9852bbcd6edff7f4",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "HBox(children=(FloatProgress(value=0.0, description='Running 300 simulations in 300 batches.', max=300.0, styl…"
+ "Running 300 simulations in 300 batches.: 0%| | 0/300 [00:00, ?it/s]"
]
},
"metadata": {},
@@ -358,8 +360,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
- "Neural network successfully converged after 233 epochs.\n"
+ " Neural network successfully converged after 197 epochs."
]
}
],
@@ -373,7 +374,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- " Note `sbi` can parallelize your simulator. If you experience problems with parallelization, try setting `num_workers=1` and please give us an error report as a [GitHub issue](https://github.com/mackelab/sbi/issues)."
+ "Note `sbi` can parallelize your simulator. If you experience problems with parallelization, try setting `num_workers=1` and please give us an error report as a [GitHub issue](https://github.com/mackelab/sbi/issues).\n"
]
},
{
@@ -381,12 +382,13 @@
"metadata": {},
"source": [
"### Coming back to the observed data\n",
- "As mentioned at the beginning of the tutorial, the observed data are generated by the Hodgkin-Huxley model with a set of known parameters ($\\bar g_{Na}$,$\\bar g_K$). To illustrate how to compute the summary statistics of the observed data, let us regenerate the observed data:"
+ "\n",
+ "As mentioned at the beginning of the tutorial, the observed data are generated by the Hodgkin-Huxley model with a set of known parameters ($\\bar g_{Na}$,$\\bar g_K$). To illustrate how to compute the summary statistics of the observed data, let us regenerate the observed data:\n"
]
},
{
"cell_type": "code",
- "execution_count": 75,
+ "execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
@@ -397,7 +399,7 @@
},
{
"cell_type": "code",
- "execution_count": 76,
+ "execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
@@ -409,24 +411,22 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "As we already shown above, the observed voltage traces look as follows:"
+ "As we already shown above, the observed voltage traces look as follows:\n"
]
},
{
"cell_type": "code",
- "execution_count": 77,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -440,12 +440,12 @@
"plt.setp(ax, xticks=[], yticks=[-80, -20, 40])\n",
"\n",
"ax = plt.subplot(gs[1])\n",
- "plt.plot(observation_trace[\"time\"], I * A_soma * 1e3, \"k\", lw=2)\n",
+ "plt.plot(observation_trace[\"time\"], I_inj * A_soma * 1e3, \"k\", lw=2)\n",
"plt.xlabel(\"time (ms)\")\n",
"plt.ylabel(\"input (nA)\")\n",
"\n",
"ax.set_xticks([0, max(observation_trace[\"time\"]) / 2, max(observation_trace[\"time\"])])\n",
- "ax.set_yticks([0, 1.1 * np.max(I * A_soma * 1e3)])\n",
+ "ax.set_yticks([0, 1.1 * np.max(I_inj * A_soma * 1e3)])\n",
"ax.yaxis.set_major_formatter(mpl.ticker.FormatStrFormatter(\"%.2f\"))"
]
},
@@ -455,34 +455,27 @@
"source": [
"## Analysis of the posterior given the observed data\n",
"\n",
- "After running the inference algorithm, let us inspect the inferred posterior distribution over the parameters ($\\bar g_{Na}$,$\\bar g_K$), given the observed trace. To do so, we first draw samples (i.e. consistent parameter sets) from the posterior:"
+ "After running the inference algorithm, let us inspect the inferred posterior distribution over the parameters ($\\bar g_{Na}$,$\\bar g_K$), given the observed trace. To do so, we first draw samples (i.e. consistent parameter sets) from the posterior:\n"
]
},
{
"cell_type": "code",
- "execution_count": 78,
+ "execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "17963e661ebf4a3aaa2045b382405beb",
+ "model_id": "890aa89db1034d5292032bec50b8cc19",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "HBox(children=(FloatProgress(value=0.0, description='Drawing 10000 posterior samples', max=10000.0, style=Prog…"
+ "Drawing 10000 posterior samples: 0%| | 0/10000 [00:00, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n"
- ]
}
],
"source": [
@@ -491,19 +484,17 @@
},
{
"cell_type": "code",
- "execution_count": 82,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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ABIEwAxCEfXtHc+wJjE7tX7bTD1AzW8fMPmhm7yue32Jm1+7iWreZ2ZPFjV8AVIgw24S7f8Dd/3sXl7hdLP0BBoIwk2Rm7zez75nZVyS9suf47WZ2Q/H8tJl9uNiv7X4zu8rM7jaz75vZe/pd193vVT6JGEDF9n2fmZm9VvkSraPK/z5OKd8Vop8z7n7UzG5VXuualjQm6SFJH6+8sAA2tO/DTNIbJH3O3RclycyOb3Ju971vSzro7uclnTezZTObdPeFaouKoXTzzfmfH/1onaXY9wiznenuDJL1PO++5u9yv3rwwbpLANFnJkn3SnqbmY2b2SFJb667QAB2bt+HmbufknSnpG9K+oLyLY9KYWafkfRVSa80s8fMjH3ygYqwawaG2d744bzmmvzPL32pzlKEhkmzAPYnwgxAEAgzoASnzixoenau7mLsa4QZUIJ2kmp+oVV3MfY1wgxAEAgzYJdOnVnQSCOuuxj7HmEG7FI7SXXVyybrLsa+R5gBJZmaHGcQoEaEGVCSkzPHGASoEWEGIAiEGbAL07NzdP4PCcIM2IX5hRad/0OCMAMQBMIMQBAIM+AiMQ1juBBmwEViGsZwIcwABIEwA3bh9Oz1dRcBBcIMQBAIMwBBIMyAErHYvD6EGVAiFpvXhzADLsL07JymJsfrLgZ6NOouALAXzS+0GMkcMtTMAASBMAMQBMIMKBkjmvUgzICSMaJZD8IMQBAIMwBBIMwABIEwAxAEwgxAEAgzAEEgzAAEgTADEATCDEAQCDMAQSDMAASBMAMQBMIMQBAIMwBBIMwABIEwAxAEwgxAEAgzAEEgzAAEgTADKsBNTQaPMAMqwE1NBo8wAxAEwgzYoenZOU1NjtddDKxDmAE70O0HOzlzrOaSYL1G3QUA9pL5hZZOz15fdzHQBzUzAEEgzAAEgTADEATCDEAQCDMAQSDMAASBMAMQBMIMQBAIM6Ai7JwxWIQZUBF2zhgswgxAEAgzAEEgzAAEgTADEATCDEAQCDMAQSDMAASBMAMQBMIMQBAIMwBBIMyACrE+c3AIM6BCrM8cHMIM2CZu/jvcuG8msE3cM3O4UTMDEATCDEAQCDMAQSDMAASBMAMQBMIMQBAIMwBBIMwABIEwAxAEwgxAEAgzAEEgzIBt2M0ic7YBGgzCDNiG+YWWTs4cu6jPsg3QYBBmAIJAmAEIAmEGIAiEGTAADAJUjzADBoBBgOoRZgCCQJgBCAJhBiAIhBmAIBBmAIJAmAEIAmEGIAiEGYAgEGbAFnaz/Q8Gp1F3AYBhN7/Q0unZ6+suBrZAzQzYRJm1MtZnVoswAzaxm00Z12N9ZrUIMwBBIMyAAaKpWR3CDBggmprVIcwABIEwAxAEwgzYQFWTZek3qwZhBmygzGkZveg3qwZhBtSA2ln5CDOgj6rXY1I7Kx9rM4HCkZkTmpoc1/xCS1OT45U0MXtNTY6vfM2qv9Z+YO5edxkAYNdoZgIIAmEGIAiEGYAgEGYAgsBoJoaWmT0kaanucqAWY+7+mp18gDDDMFty96vrLgQGz8zu3+lnaGYCCAJhBiAIhBmG2SfqLgBqs+N/e1YAAAgCNTMAQSDMUCkzu87Mvmtmj5rZTJ/3R83szuL9+8zsSM97f1kc/66Z/fZW1zSzm4pjbmaHK//mUAozu83Mniym4nSPfdDM5s3sweLxO1tdhzBDZcwslvQxSW+SdKWkt5vZletOe5ekZ9z9FZJulfSR4rNXSrpR0qslXSfp78ws3uKaJyVdK+l/K/3GULbblf8br3erux8tHp/f6iKEGar0OkmPuvsP3L0t6Q5Jb113zlslfbp4fpekN5qZFcfvcPdld/+hpEeL6214TXf/hrufrvqbQrnc/V5JT+/2OoQZqjQl6Uc9rx8rjvU9x90TSWclvWCTz27nmgjDTWb2raIZeulWJxNmAIbR30t6uaSjkh6X9DdbfYAwQ5XmJb205/VLimN9zzGzhqTnSXpqk89u55rY49z9CXdP3T2T9A/Kuxc2RZihSl+XdIWZXW5mI8o79I+vO+e4pHcUz2+QNOf55Mfjkm4sRjsvl3SFpK9t85rY48zsRT0vf1fSQxud28VCc1TG3RMzu0nS3ZJiSbe5+8Nmdouk+939uKRPSfonM3tUeSfwjcVnHzazf5H0iKRE0p+4eyrlUzDWX7M4/l5JfyHpZyV9y8w+7+7vHuC3jItgZp+RdI2kw2b2mKS/knSNmR2V5JJOS/rjLa/DCgAAIaCZCSAIhBmAIBBmAIJAmAEIAmEGIAiEGTBgxY4Q7yue32Jm117kdV5qZl80s0fM7GEz+9NyS7q3MM8MqJG7f2AXH08k/bm7nzKzQ5IeMLN73P2Rkoq3p1AzAwbAzN5vZt8zs69IemXP8dvN7Ibi+Wkz+3Cxf9f9ZnaVmd1tZt83s/esv6a7P+7up4rn5yV9R/t40T01M6BiZvZa5Ssbjir/nTsl6YENTj/j7kfN7Fbl+3xNSxpTvpzn45t8jSOSfkXSfWWVe68hzIDqvUHS59x9UZLMbLO1pN33vi3pYFHjOm9my2Y26e4L6z9gZgcl/Zukm939XLlF3ztoZgLDZbn4M+t53n39nMqHmTWVB9k/u/tnqy/e8CLMgOrdK+ltZjZedNS/uYyLFjvyfkrSd9z9b8u45l5GmAEVKzrp75T0TUlfUL6NURmmJf2hpGM7ufFHqNg1A0AQqJkBCAJhBiAIhBmAIBBmAIJAmAEIAmEGIAiEGYAgEGYAgvD/Kb69Fpd5H5UAAAAASUVORK5CYII=\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -523,34 +514,27 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "As can be seen, the inferred posterior contains the ground-truth parameters (red) in a high-probability region. Now, let us sample parameters from the posterior distribution, simulate the Hodgkin-Huxley model for this parameter set and compare the simulations with the observed data:"
+ "As can be seen, the inferred posterior contains the ground-truth parameters (red) in a high-probability region. Now, let us sample parameters from the posterior distribution, simulate the Hodgkin-Huxley model for this parameter set and compare the simulations with the observed data:\n"
]
},
{
"cell_type": "code",
- "execution_count": 93,
+ "execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "211e09dd3cf3424ca0f0adb42c4c86e5",
+ "model_id": "c2534affd97c40ddbdd7402af33f4c52",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "HBox(children=(FloatProgress(value=0.0, description='Drawing 1 posterior samples', max=1.0, style=ProgressStyl…"
+ "Drawing 1 posterior samples: 0%| | 0/1 [00:00, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n"
- ]
}
],
"source": [
@@ -560,19 +544,17 @@
},
{
"cell_type": "code",
- "execution_count": 94,
+ "execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -603,7 +585,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "As can be seen, the sample from the inferred posterior leads to simulations that closely resemble the observed data, confirming that `SNPE` did a good job at capturing the observed data in this simple case."
+ "As can be seen, the sample from the inferred posterior leads to simulations that closely resemble the observed data, confirming that `SNPE` did a good job at capturing the observed data in this simple case.\n"
]
},
{
@@ -612,10 +594,9 @@
"source": [
"## References\n",
"\n",
- "\n",
"A. L. Hodgkin and A. F. Huxley. A quantitative description of membrane current and its application to conduction and excitation in nerve. The Journal of Physiology, 117(4):500–544, 1952.\n",
"\n",
- "M. Pospischil, M. Toledo-Rodriguez, C. Monier, Z. Piwkowska, T. Bal, Y. Frégnac, H. Markram, and A. Destexhe. Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons. Biological Cybernetics, 99(4-5), 2008."
+ "M. Pospischil, M. Toledo-Rodriguez, C. Monier, Z. Piwkowska, T. Bal, Y. Frégnac, H. Markram, and A. Destexhe. Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons. Biological Cybernetics, 99(4-5), 2008.\n"
]
}
],
@@ -623,7 +604,7 @@
"kernelspec": {
"display_name": "sbi",
"language": "python",
- "name": "sbi"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -635,7 +616,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.10.6"
+ "version": "3.8.18"
}
},
"nbformat": 4,
diff --git a/examples/01_decision_making_model.ipynb b/examples/01_decision_making_model.ipynb
index 9ee63e0cf..b6d8a0c12 100644
--- a/examples/01_decision_making_model.ipynb
+++ b/examples/01_decision_making_model.ipynb
@@ -6,10 +6,13 @@
"source": [
"# SBI for decision-making models\n",
"\n",
- "In [a previous tutorial](https://sbi-dev.github.io/sbi/tutorial/14_iid_data_and_permutation_invariant_embedding.md), we showed how to use SBI with trial-based iid data. Such scenarios can arise, for example, in\n",
- "models of perceptual decision making. In addition to trial-based iid data points, these models often come with\n",
- "mixed data types and varying experimental conditions. Here, we show how `sbi` can be used to\n",
- "perform inference in such models with the `MNLE` method."
+ "In [a previous\n",
+ "tutorial](https://sbi-dev.github.io/sbi/tutorial/14_iid_data_and_permutation_invariant_embedding.md),\n",
+ "we showed how to use SBI with trial-based iid data. Such scenarios can arise,\n",
+ "for example, in models of perceptual decision making. In addition to trial-based\n",
+ "iid data points, these models often come with mixed data types and varying\n",
+ "experimental conditions. Here, we show how `sbi` can be used to perform\n",
+ "inference in such models with the `MNLE` method.\n"
]
},
{
@@ -18,14 +21,14 @@
"source": [
"## Trial-based SBI with mixed data types\n",
"\n",
- "In some cases, models with trial-based data additionally return data with mixed data types, e.g., continous and discrete data. For example, most computational models of decision-making have continuous reaction times and discrete choices as output. \n",
+ "In some cases, models with trial-based data additionally return data with mixed data types, e.g., continous and discrete data. For example, most computational models of decision-making have continuous reaction times and discrete choices as output.\n",
"\n",
- "This can induce a problem when performing trial-based SBI that relies on learning a neural likelihood: It is challenging for most density estimators to handle both, continuous and discrete data at the same time. \n",
- "However, there is a recent SBI method for solving this problem, it's called __Mixed Neural Likelihood Estimation__ (MNLE). It works just like NLE, but with mixed data types. The trick is that it learns two separate density estimators, one for the discrete part of the data, and one for the continuous part, and combines the two to obtain the final neural likelihood. Crucially, the continuous density estimator is trained conditioned on the output of the discrete one, such that statistical dependencies between the discrete and continuous data (e.g., between choices and reaction times) are modeled as well. The interested reader is referred to the original paper available [here](https://elifesciences.org/articles/77220).\n",
+ "This can induce a problem when performing trial-based SBI that relies on learning a neural likelihood: It is challenging for most density estimators to handle both, continuous and discrete data at the same time.\n",
+ "However, there is a recent SBI method for solving this problem, it's called **Mixed Neural Likelihood Estimation** (MNLE). It works just like NLE, but with mixed data types. The trick is that it learns two separate density estimators, one for the discrete part of the data, and one for the continuous part, and combines the two to obtain the final neural likelihood. Crucially, the continuous density estimator is trained conditioned on the output of the discrete one, such that statistical dependencies between the discrete and continuous data (e.g., between choices and reaction times) are modeled as well. The interested reader is referred to the original paper available [here](https://elifesciences.org/articles/77220).\n",
"\n",
"MNLE was recently added to `sbi` (see this [PR](https://github.com/mackelab/sbi/pull/638) and also [issue](https://github.com/mackelab/sbi/issues/845)) and follows the same API as `SNLE`.\n",
"\n",
- "In this tutorial we will show how to apply `MNLE` to mixed data, and how to deal with varying experimental conditions. "
+ "In this tutorial we will show how to apply `MNLE` to mixed data, and how to deal with varying experimental conditions.\n"
]
},
{
@@ -36,7 +39,7 @@
"\n",
"To illustrate `MNLE` we set up a toy simulator that outputs mixed data and for which we know the likelihood such we can obtain reference posterior samples via MCMC.\n",
"\n",
- "__Simulator__: To simulate mixed data we do the following\n",
+ "**Simulator**: To simulate mixed data we do the following\n",
"\n",
"- Sample reaction time from `inverse Gamma`\n",
"- Sample choices from `Binomial`\n",
@@ -47,18 +50,15 @@
"rt \\sim \\text{InverseGamma}(\\alpha=2, \\beta) \\\\\n",
"$$\n",
"\n",
- "\n",
- "\n",
- "\n",
- "__Prior__: The priors of the two parameters $\\rho$ and $\\beta$ are independent. We define a `Beta` prior over the probabilty parameter of the `Binomial` used in the simulator and a `Gamma` prior over the shape-parameter of the `inverse Gamma` used in the simulator:\n",
+ "**Prior**: The priors of the two parameters $\\rho$ and $\\beta$ are independent. We define a `Beta` prior over the probabilty parameter of the `Binomial` used in the simulator and a `Gamma` prior over the shape-parameter of the `inverse Gamma` used in the simulator:\n",
"\n",
"$$\n",
"p(\\beta, \\rho) = p(\\beta) \\; p(\\rho) ; \\\\\n",
"p(\\beta) = \\text{Gamma}(1, 0.5) \\\\\n",
- "p(\\text{probs}) = \\text{Beta}(2, 2) \n",
+ "p(\\text{probs}) = \\text{Beta}(2, 2)\n",
"$$\n",
"\n",
- "Because the `InverseGamma` and the `Binomial` likelihoods are well-defined we can perform MCMC on this problem and obtain reference-posterior samples."
+ "Because the `InverseGamma` and the `Binomial` likelihoods are well-defined we can perform MCMC on this problem and obtain reference-posterior samples.\n"
]
},
{
@@ -96,8 +96,9 @@
" \"\"\"Returns a sample from a mixed distribution given parameters theta.\n",
"\n",
" Args:\n",
- " theta: batch of parameters, shape (batch_size, 2)\n",
- " concentration_scaling: scaling factor for the concentration parameter of the InverseGamma distribution, mimics an experimental condition.\n",
+ " theta: batch of parameters, shape (batch_size, 2) concentration_scaling:\n",
+ " scaling factor for the concentration parameter of the InverseGamma\n",
+ " distribution, mimics an experimental condition.\n",
"\n",
" \"\"\"\n",
" beta, ps = theta[:, :1], theta[:, 1:]\n",
@@ -110,7 +111,8 @@
" return torch.cat((rts, choices), dim=1)\n",
"\n",
"\n",
- "# The potential function defines the ground truth likelihood and allows us to obtain reference posterior samples via MCMC.\n",
+ "# The potential function defines the ground truth likelihood and allows us to\n",
+ "# obtain reference posterior samples via MCMC.\n",
"class PotentialFunctionProvider(BasePotential):\n",
" allow_iid_x = True # type: ignore\n",
"\n",
@@ -172,7 +174,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Obtain reference-posterior samples via analytical likelihood and MCMC"
+ "### Obtain reference-posterior samples via analytical likelihood and MCMC\n"
]
},
{
@@ -197,7 +199,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/janbolts/qode/sbi/sbi/utils/sbiutils.py:342: UserWarning: An x with a batch size of 10 was passed. It will be interpreted as a batch of independent and identically\n",
+ "/Users/janteusen/qode/sbi/sbi/utils/sbiutils.py:341: UserWarning: An x with a batch size of 10 was passed. It will be interpreted as a batch of independent and identically\n",
" distributed data X={x_1, ..., x_n}, i.e., data generated based on the\n",
" same underlying (unknown) parameter. The resulting posterior will be with\n",
" respect to entire batch, i.e,. p(theta | X).\n",
@@ -207,7 +209,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "bb1f53851d4a4dc0aeedd45fc0642c1e",
+ "model_id": "d0819df9d68b4a2a98b7beda21113647",
"version_major": 2,
"version_minor": 0
},
@@ -240,7 +242,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Train MNLE and generate samples via MCMC"
+ "### Train MNLE and generate samples via MCMC\n"
]
},
{
@@ -252,7 +254,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/janbolts/qode/sbi/sbi/neural_nets/mnle.py:60: UserWarning: The mixed neural likelihood estimator assumes that x contains\n",
+ "/Users/janteusen/qode/sbi/sbi/neural_nets/mnle.py:60: UserWarning: The mixed neural likelihood estimator assumes that x contains\n",
" continuous data in the first n-1 columns (e.g., reaction times) and\n",
" categorical data in the last column (e.g., corresponding choices). If\n",
" this is not the case for the passed `x` do not use this function.\n",
@@ -283,13 +285,24 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 7,
"metadata": {},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/janteusen/qode/sbi/sbi/utils/sbiutils.py:341: UserWarning: An x with a batch size of 10 was passed. It will be interpreted as a batch of independent and identically\n",
+ " distributed data X={x_1, ..., x_n}, i.e., data generated based on the\n",
+ " same underlying (unknown) parameter. The resulting posterior will be with\n",
+ " respect to entire batch, i.e,. p(theta | X).\n",
+ " warnings.warn(\n"
+ ]
+ },
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "e0152d58673747fabcc4f5c51015c9f7",
+ "model_id": "7d5d2b9061f1475a8ad1db1f1e7d236b",
"version_major": 2,
"version_minor": 0
},
@@ -312,17 +325,24 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Compare MNLE and reference posterior"
+ "### Compare MNLE and reference posterior\n"
]
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 8,
"metadata": {},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "WARNING:root:upper is deprecated, use offdiag instead.\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -364,26 +384,26 @@
"source": [
"We see that the inferred `MNLE` posterior nicely matches the reference posterior, and how both inferred a posterior that is quite different from the prior.\n",
"\n",
- "Because MNLE training is amortized we can obtain another posterior given a different observation with potentially a different number of trials, just by running MCMC again (without re-training `MNLE`):"
+ "Because MNLE training is amortized we can obtain another posterior given a different observation with potentially a different number of trials, just by running MCMC again (without re-training `MNLE`):\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Repeat inference with different `x_o` that contains more trials"
+ "### Repeat inference with different `x_o` that contains more trials\n"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/janbolts/qode/sbi/sbi/utils/sbiutils.py:342: UserWarning: An x with a batch size of 50 was passed. It will be interpreted as a batch of independent and identically\n",
+ "/Users/janteusen/qode/sbi/sbi/utils/sbiutils.py:341: UserWarning: An x with a batch size of 50 was passed. It will be interpreted as a batch of independent and identically\n",
" distributed data X={x_1, ..., x_n}, i.e., data generated based on the\n",
" same underlying (unknown) parameter. The resulting posterior will be with\n",
" respect to entire batch, i.e,. p(theta | X).\n",
@@ -393,7 +413,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "45ed8a0ba0244d3097b90da70d9dceb3",
+ "model_id": "4183377e3413419480a2e4dd989a25bf",
"version_major": 2,
"version_minor": 0
},
@@ -407,7 +427,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "dd5d42d72927422f850b36b80cdea2f1",
+ "model_id": "fb9a33586e2e4c48bb5b17894c6a66cf",
"version_major": 2,
"version_minor": 0
},
@@ -428,12 +448,19 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 10,
"metadata": {},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "WARNING:root:upper is deprecated, use offdiag instead.\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -471,14 +498,14 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "tensor(0.5565)\n"
+ "tensor(0.5255)\n"
]
}
],
@@ -490,11 +517,11 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Again we can see that the posteriors match nicely. In addition, we observe that the posterior's (epistemic) uncertainty reduces as we increase the number of trials. \n",
+ "Again we can see that the posteriors match nicely. In addition, we observe that the posterior's (epistemic) uncertainty reduces as we increase the number of trials.\n",
"\n",
- "Note: `MNLE` is trained on single-trial data. Theoretically, density estimation is perfectly accurate only in the limit of infinite training data. Thus, training with a finite amount of training data naturally induces a small bias in the density estimator. \n",
- "As we observed above, this bias is so small that we don't really notice it, e.g., the `c2st` scores were close to 0.5. \n",
- "However, when we increase the number of trials in `x_o` dramatically (on the order of 1000s) the small bias can accumulate over the trials and inference with `MNLE` can become less accurate."
+ "Note: `MNLE` is trained on single-trial data. Theoretically, density estimation is perfectly accurate only in the limit of infinite training data. Thus, training with a finite amount of training data naturally induces a small bias in the density estimator.\n",
+ "As we observed above, this bias is so small that we don't really notice it, e.g., the `c2st` scores were close to 0.5.\n",
+ "However, when we increase the number of trials in `x_o` dramatically (on the order of 1000s) the small bias can accumulate over the trials and inference with `MNLE` can become less accurate.\n"
]
},
{
@@ -503,19 +530,20 @@
"source": [
"## MNLE with experimental conditions\n",
"\n",
- "In the perceptual decision-making research it is common to design experiments with varying experimental decisions, e.g., to vary the difficulty of the task. \n",
- "During parameter inference, it can be beneficial to incorporate the experimental conditions. \n",
- "In MNLE, we are learning an emulator that should be able to generate synthetic experimental data including reaction times and choices given different experimental conditions. \n",
- "Thus, to make MNLE work with experimental conditions, we need to include them in the training process, i.e., treat them like auxiliary parameters of the simulator: "
+ "In the perceptual decision-making research it is common to design experiments with varying experimental decisions, e.g., to vary the difficulty of the task.\n",
+ "During parameter inference, it can be beneficial to incorporate the experimental conditions.\n",
+ "In MNLE, we are learning an emulator that should be able to generate synthetic experimental data including reaction times and choices given different experimental conditions.\n",
+ "Thus, to make MNLE work with experimental conditions, we need to include them in the training process, i.e., treat them like auxiliary parameters of the simulator:\n"
]
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
- "# define a simulator wrapper in which the experimental condition are contained in theta and passed to the simulator.\n",
+ "# define a simulator wrapper in which the experimental condition are contained\n",
+ "# in theta and passed to the simulator.\n",
"def sim_wrapper(theta):\n",
" # simulate with experiment conditions\n",
" return mixed_simulator(\n",
@@ -527,11 +555,12 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
- "# Define a proposal that contains both, priors for the parameters and a discrte prior over experimental conditions.\n",
+ "# Define a proposal that contains both, priors for the parameters and a discrte\n",
+ "# prior over experimental conditions.\n",
"proposal = MultipleIndependent(\n",
" [\n",
" Gamma(torch.tensor([1.0]), torch.tensor([0.5])),\n",
@@ -565,19 +594,19 @@
"\n",
"For that, we first the define the actual prior, i.e., the distribution over the parameter we want to infer (not the proposal).\n",
"\n",
- "Thus, we leave out the discrete prior over experimental conditions."
+ "Thus, we leave out the discrete prior over experimental conditions.\n"
]
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/janbolts/qode/sbi/sbi/utils/sbiutils.py:342: UserWarning: An x with a batch size of 10 was passed. It will be interpreted as a batch of independent and identically\n",
+ "/Users/janteusen/qode/sbi/sbi/utils/sbiutils.py:341: UserWarning: An x with a batch size of 10 was passed. It will be interpreted as a batch of independent and identically\n",
" distributed data X={x_1, ..., x_n}, i.e., data generated based on the\n",
" same underlying (unknown) parameter. The resulting posterior will be with\n",
" respect to entire batch, i.e,. p(theta | X).\n",
@@ -587,7 +616,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "99b53f79862c4464a152a809161b0a26",
+ "model_id": "7eed6a7ebfd044b4b7a26f8db9959445",
"version_major": 2,
"version_minor": 0
},
@@ -609,7 +638,8 @@
")\n",
"prior_transform = mcmc_transform(prior)\n",
"\n",
- "# We can now use the PotentialFunctionProvider to obtain a ground-truth posterior via MCMC.\n",
+ "# We can now use the PotentialFunctionProvider to obtain a ground-truth\n",
+ "# posterior via MCMC.\n",
"true_posterior_samples = MCMCPosterior(\n",
" PotentialFunctionProvider(\n",
" prior,\n",
@@ -627,19 +657,19 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Train MNLE including experimental conditions"
+ "### Train MNLE including experimental conditions\n"
]
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/janbolts/qode/sbi/sbi/neural_nets/mnle.py:60: UserWarning: The mixed neural likelihood estimator assumes that x contains\n",
+ "/Users/janteusen/qode/sbi/sbi/neural_nets/mnle.py:60: UserWarning: The mixed neural likelihood estimator assumes that x contains\n",
" continuous data in the first n-1 columns (e.g., reaction times) and\n",
" categorical data in the last column (e.g., corresponding choices). If\n",
" this is not the case for the passed `x` do not use this function.\n",
@@ -650,7 +680,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 73 epochs."
+ " Neural network successfully converged after 92 epochs."
]
}
],
@@ -665,18 +695,18 @@
"source": [
"### Construct conditional potential function\n",
"\n",
- "To obtain posterior samples conditioned on a particular experimental condition (and on x_o), we need to construct a corresponding potential function."
+ "To obtain posterior samples conditioned on a particular experimental condition (and on x_o), we need to construct a corresponding potential function.\n"
]
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "56b55012d9e44c248ebeff1e17d259ba",
+ "model_id": "4c5ea7fa43064183946d85291c95e2c0",
"version_major": 2,
"version_minor": 0
},
@@ -689,11 +719,12 @@
}
],
"source": [
- "# First, we define the potential function for the complete, unconditional MNLE-likelihood.\n",
+ "# We define the potential function for the complete, unconditional MNLE-likelihood\n",
"potential_fn = MixedLikelihoodBasedPotential(estimator, proposal, x_o)\n",
"\n",
"# Then we use the potential to construct the conditional potential function.\n",
- "# Here, we tell the constructor to condition on the last dimension (index 2) by passing dims_to_sample=[0, 1].\n",
+ "# Here, we tell the constructor to condition on the last dimension (index 2) by\n",
+ "# passing dims_to_sample=[0, 1].\n",
"conditioned_potential_fn = ConditionedPotential(\n",
" potential_fn,\n",
" condition=theta_o,\n",
@@ -718,7 +749,7 @@
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -728,7 +759,8 @@
}
],
"source": [
- "# Finally, we can compare the ground truth conditional posterior with the MNLE-conditional posterior.\n",
+ "# Finally, we can compare the ground truth conditional posterior with the\n",
+ "# MNLE-conditional posterior.\n",
"fig, ax = pairplot(\n",
" [\n",
" prior.sample((1000,)),\n",
@@ -737,7 +769,7 @@
" ],\n",
" points=theta_o,\n",
" diag=\"kde\",\n",
- " upper=\"contour\",\n",
+ " offdiag=\"contour\",\n",
" kde_offdiag=dict(bins=50),\n",
" kde_diag=dict(bins=100),\n",
" contour_offdiag=dict(levels=[0.95]),\n",
@@ -758,15 +790,8 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "They match accurately, showing that we can indeed post-hoc condition the trained MNLE likelihood on different experimental conditions."
+ "They match accurately, showing that we can indeed post-hoc condition the trained MNLE likelihood on different experimental conditions.\n"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -785,7 +810,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.17"
+ "version": "3.8.18"
},
"vscode": {
"interpreter": {
diff --git a/examples/HH_helper_functions.py b/examples/HH_helper_functions.py
index ef7075200..8af0f4b5d 100644
--- a/examples/HH_helper_functions.py
+++ b/examples/HH_helper_functions.py
@@ -9,15 +9,15 @@ def syn_current(duration=120, dt=0.01, t_on=10, curr_level=5e-4, seed=None):
# external current
A_soma = np.pi * ((70.0 * 1e-4) ** 2) # cm2
- I = np.zeros_like(t)
- I[int(np.round(t_on / dt)) : int(np.round(t_off / dt))] = (
+ I_inj = np.zeros_like(t)
+ I_inj[int(np.round(t_on / dt)) : int(np.round(t_off / dt))] = (
curr_level / A_soma
) # muA/cm2
- return I, t_on, t_off, dt, t, A_soma
+ return I_inj, t_on, t_off, dt, t, A_soma
-def HHsimulator(V0, params, dt, t, I, seed=None):
+def HHsimulator(V0, params, dt, t, I_inj, seed=None):
"""Simulates the Hodgkin-Huxley model for a specified time duration and current
Parameters
@@ -144,7 +144,7 @@ def tau_p(x):
+ (n[i - 1] ** 4) * gbar_K * E_K
+ g_leak * E_leak
+ gbar_M * p[i - 1] * E_K
- + I[i - 1]
+ + I_inj[i - 1]
+ nois_fact * rng.randn() / (tstep**0.5)
) / (tau_V_inv * C)
V[i] = V_inf + (V[i - 1] - V_inf) * np.exp(-tstep * tau_V_inv)
@@ -167,7 +167,7 @@ def calculate_summary_statistics(x):
-------
np.array, summary statistics
"""
- I, t_on, t_off, dt, t, A_soma = syn_current()
+ I_inj, t_on, t_off, dt, t, A_soma = syn_current()
n_mom = 4
n_summary = 7
diff --git a/tutorials/03_multiround_inference.ipynb b/tutorials/03_multiround_inference.ipynb
index 5e781272a..1d0ec3331 100644
--- a/tutorials/03_multiround_inference.ipynb
+++ b/tutorials/03_multiround_inference.ipynb
@@ -6,38 +6,113 @@
"source": [
"# Multi-round inference\n",
"\n",
- "In the previous tutorials, we have inferred the posterior using **single-round inference**. In **single-round inference**, we draw parameters from the prior, simulate the corresponding data, and then train a neural network to obtain the posterior. However, if one is interested in only one particular observation `x_o` sampling from the prior can be inefficient in the number of simulations because one is effectively learning a posterior estimate for all observations in the prior space. In this tutorial, we show how one can alleviate this issue by performing **multi-round inference** with `sbi`. \n",
+ "In the previous tutorials, we have inferred the posterior using **single-round inference**. In **single-round inference**, we draw parameters from the prior, simulate the corresponding data, and then train a neural network to obtain the posterior. However, if one is interested in only one particular observation `x_o` sampling from the prior can be inefficient in the number of simulations because one is effectively learning a posterior estimate for all observations in the prior space. In this tutorial, we show how one can alleviate this issue by performing **multi-round inference** with `sbi`.\n",
"\n",
"**Multi-round inference** also starts by drawing parameters from the prior, simulating them, and training a neural network to estimate the posterior distribution. Afterwards, however, it continues inference in multiple rounds, focusing on a particular observation `x_o`. In each new round of inference, it draws samples from the obtained posterior distribution conditioned at `x_o` (instead of from the prior), simulates these, and trains the network again. This process can be repeated arbitrarily often to get increasingly good approximations to the true posterior distribution at `x_o`.\n",
"\n",
- "Running multi-round inference can be more efficient in the number of simulations, but it will lead to the posterior no longer being amortized (i.e. it will be accurate only for a specific observation `x_o`, not for any `x`)."
+ "Running multi-round inference can be more efficient in the number of simulations, but it will lead to the posterior no longer being amortized (i.e. it will be accurate only for a specific observation `x_o`, not for any `x`).\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Note, you can find the original version of this notebook at [https://github.com/sbi-dev/sbi/blob/main/tutorials/03_multiround_inference.ipynb](https://github.com/sbi-dev/sbi/blob/main/tutorials/03_multiround_inference.ipynb) in the `sbi` repository."
+ "Note, you can find the original version of this notebook at [https://github.com/sbi-dev/sbi/blob/main/tutorials/03_multiround_inference.ipynb](https://github.com/sbi-dev/sbi/blob/main/tutorials/03_multiround_inference.ipynb) in the `sbi` repository.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Main syntax"
+ "## Main syntax\n"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
+ "source": [
+ "import torch\n",
+ "\n",
+ "from sbi.analysis import pairplot\n",
+ "from sbi.inference import SNPE, prepare_for_sbi, simulate_for_sbi\n",
+ "from sbi.utils import BoxUniform\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "b940e1c41b30441381978b8c8ef4398e",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Running 500 simulations.: 0%| | 0/500 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Neural network successfully converged after 111 epochs."
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "9bfbbaefc66b46c2a0e4cefa243fadbd",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Drawing 500 posterior samples: 0%| | 0/500 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "31f8ec69ebcd4e56beab1c93713d09b1",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Running 500 simulations.: 0%| | 0/500 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Using SNPE-C with atomic loss\n",
+ " Neural network successfully converged after 29 epochs."
+ ]
+ }
+ ],
"source": [
"# 2 rounds: first round simulates from the prior, second round simulates parameter set\n",
"# that were sampled from the obtained posterior.\n",
"num_rounds = 2\n",
+ "num_dim = 3\n",
"# The specific observation we want to focus the inference on.\n",
- "x_o = torch.zeros(3,)\n",
+ "x_o = torch.zeros(num_dim,)\n",
+ "prior = BoxUniform(low=-2 * torch.ones(num_dim), high=2 * torch.ones(num_dim))\n",
+ "simulator = lambda theta: theta + torch.randn_like(theta) * 0.1\n",
"\n",
"inference = SNPE(prior)\n",
"\n",
@@ -47,7 +122,8 @@
"for _ in range(num_rounds):\n",
" theta, x = simulate_for_sbi(simulator, proposal, num_simulations=500)\n",
"\n",
- " # In `SNLE` and `SNRE`, you should not pass the `proposal` to `.append_simulations()`\n",
+ " # In `SNLE` and `SNRE`, you should not pass the `proposal` to\n",
+ " # `.append_simulations()`\n",
" density_estimator = inference.append_simulations(\n",
" theta, x, proposal=proposal\n",
" ).train()\n",
@@ -61,39 +137,15 @@
"metadata": {},
"source": [
"## Linear Gaussian example\n",
- "Below, we give a full example of inferring the posterior distribution over multiple rounds."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [],
- "source": [
- "import torch\n",
- "\n",
- "from sbi import analysis as analysis\n",
- "from sbi import utils as utils\n",
- "from sbi.inference import SNPE, prepare_for_sbi, simulate_for_sbi\n",
"\n",
- "_ = torch.manual_seed(0)"
+ "Below, we give a full example of inferring the posterior distribution over multiple rounds.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "First, we define a simple prior and simulator and ensure that they comply with `sbi` by using `prepare_for_sbi`:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [],
- "source": [
- "num_dim = 3\n",
- "prior = utils.BoxUniform(low=-2 * torch.ones(num_dim), high=2 * torch.ones(num_dim))"
+ "First, we define a simple prior and simulator and ensure that they comply with `sbi` by using `prepare_for_sbi`:\n"
]
},
{
@@ -119,7 +171,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Then, we instantiate the inference object:"
+ "Then, we instantiate the inference object:\n"
]
},
{
@@ -135,7 +187,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "And we can run inference. In this example, we will run inference over `2` rounds, potentially leading to a more focused posterior around the observation `x_o`."
+ "And we can run inference. In this example, we will run inference over `2` rounds, potentially leading to a more focused posterior around the observation `x_o`.\n"
]
},
{
@@ -146,7 +198,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "68f10e6e42ca4b50af913d30a40bfdef",
+ "model_id": "655fa3c4aacd4ed39606572c7e26544d",
"version_major": 2,
"version_minor": 0
},
@@ -161,13 +213,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 157 epochs."
+ " Neural network successfully converged after 83 epochs."
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "36530955ad034757a7ffb956240c9713",
+ "model_id": "897cee4012534202a211b220f8fbb0ea",
"version_major": 2,
"version_minor": 0
},
@@ -181,7 +233,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "3c159618df4c44c6911da5f612498f51",
+ "model_id": "5456ded71dfa449a98eb2d1774253f22",
"version_major": 2,
"version_minor": 0
},
@@ -197,7 +249,7 @@
"output_type": "stream",
"text": [
"Using SNPE-C with atomic loss\n",
- " Neural network successfully converged after 58 epochs."
+ " Neural network successfully converged after 21 epochs."
]
}
],
@@ -224,14 +276,14 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- " Note that, for `num_rounds>1`, the posterior is no longer amortized: it will give good results when sampled around `x=observation`, but possibly bad results for other `x`."
+ "Note that, for `num_rounds>1`, the posterior is no longer amortized: it will give good results when sampled around `x=observation`, but possibly bad results for other `x`.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Once we have obtained the posterior, we can `.sample()`, `.log_prob()`, or `.pairplot()` in the same way as for the simple interface."
+ "Once we have obtained the posterior, we can `.sample()`, `.log_prob()`, or `.pairplot()` in the same way as for the simple interface.\n"
]
},
{
@@ -242,7 +294,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "1d3b3e5bbc5c4521a42137767412c25d",
+ "model_id": "9269f994e95c4a48a5617fadc44f4a4a",
"version_major": 2,
"version_minor": 0
},
@@ -255,14 +307,12 @@
},
{
"data": {
- "image/png": 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\n",
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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -270,7 +320,7 @@
"posterior_samples = posterior.sample((10000,), x=x_o)\n",
"\n",
"# plot posterior samples\n",
- "_ = analysis.pairplot(\n",
+ "fig, ax = pairplot(\n",
" posterior_samples, limits=[[-2, 2], [-2, 2], [-2, 2]], figsize=(5, 5)\n",
")"
]
@@ -292,7 +342,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.10.11"
+ "version": "3.8.18"
}
},
"nbformat": 4,
diff --git a/tutorials/04_density_estimators.ipynb b/tutorials/04_density_estimators.ipynb
index da872e111..326806303 100644
--- a/tutorials/04_density_estimators.ipynb
+++ b/tutorials/04_density_estimators.ipynb
@@ -30,10 +30,23 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
+ "import torch\n",
+ "\n",
+ "from sbi.inference import SNPE, SNRE\n",
+ "from sbi.utils import BoxUniform"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "prior = BoxUniform(torch.zeros(2), torch.ones(2))\n",
"inference = SNPE(prior=prior, density_estimator=\"maf\")"
]
},
@@ -46,7 +59,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -71,7 +84,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -124,7 +137,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.5"
+ "version": "3.8.18"
}
},
"nbformat": 4,
diff --git a/tutorials/05_embedding_net.ipynb b/tutorials/05_embedding_net.ipynb
index cda130dec..3ca262ef9 100644
--- a/tutorials/05_embedding_net.ipynb
+++ b/tutorials/05_embedding_net.ipynb
@@ -6,29 +6,29 @@
"source": [
"# Learning summary statistics with a neural net\n",
"\n",
- "When doing simulation-based inference, it is very important to use well-chosen summary statistics for describing the data generated by the simulator. Usually, these statistics take into account domain knowledge. For instance, in the [example of the Hodgkin-Huxley model](https://sbi-dev.github.io/sbi/examples/00_HH_simulator/), the summary statistics are defined by a [function](https://github.com/sbi-dev/sbi/blob/86d9b07238f5a0176638fecdd5622694d92f2962/examples/HH_helper_functions.py#L159) which takes a 120 ms recording as input (a 12000-dimensional input vector) and outputs a 7-dimensional feature vector containing different statistical descriptors of the recording (e.g., number of spikes, average value, etc.). \n",
+ "When doing simulation-based inference, it is very important to use well-chosen summary statistics for describing the data generated by the simulator. Usually, these statistics take into account domain knowledge. For instance, in the [example of the Hodgkin-Huxley model](https://sbi-dev.github.io/sbi/examples/00_HH_simulator/), the summary statistics are defined by a [function](https://github.com/sbi-dev/sbi/blob/86d9b07238f5a0176638fecdd5622694d92f2962/examples/HH_helper_functions.py#L159) which takes a 120 ms recording as input (a 12000-dimensional input vector) and outputs a 7-dimensional feature vector containing different statistical descriptors of the recording (e.g., number of spikes, average value, etc.).\n",
"\n",
- "However, in other cases, it might be of interest to actually **learn from the data** which summary statistics to use, e.g., because the raw data is highly complex and domain knowledge is not available or not applicable. \n",
+ "However, in other cases, it might be of interest to actually **learn from the data** which summary statistics to use, e.g., because the raw data is highly complex and domain knowledge is not available or not applicable.\n",
"\n",
"`sbi` offers functionality to learn summary statistics from (potentially high-dimensional) simulation outputs with a neural network. In `sbi`, this neural network is referred to as `embedding_net`. If an `embedding_net` is specified, the simulation outputs are passed through the `embedding_net`, whose outputs are then passed to the neural density estimator. The parameters of the `embedding_net` are learned together with the parameters of the neural density estimator. `sbi` provides pre-configured embedding networks (MLP, CNN, premutation-invariant networks) or allows to pass custom-written embedding networks.\n",
"\n",
"NB: only `SNPE` and `SNRE` methods can use an `embedding_net` to learn summary statistics from simulation outputs. `SNLE` does not offer this functionality since the simulation outputs $x$ are the outputs of the neural density estimator.\n",
"\n",
- "In the example that follows, we illustrate a situation where the data points generated by the simulator model are high-dimensional (32 by 32 images) and we use a convolutional neural network as summary statistics extractor."
+ "In the example that follows, we illustrate a situation where the data points generated by the simulator model are high-dimensional (32 by 32 images) and we use a convolutional neural network as summary statistics extractor.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Note, you can find the original version of this notebook at [https://github.com/sbi-dev/sbi/blob/main/tutorials/05_embedding_net.ipynb](https://github.com/sbi-dev/sbi/blob/main/tutorials/05_embedding_net.ipynb) in the `sbi` repository."
+ "Note, you can find the original version of this notebook at [https://github.com/sbi-dev/sbi/blob/main/tutorials/05_embedding_net.ipynb](https://github.com/sbi-dev/sbi/blob/main/tutorials/05_embedding_net.ipynb) in the `sbi` repository.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "First of all, we import all the packages required for running the tutorial"
+ "First of all, we import all the packages required for running the tutorial\n"
]
},
{
@@ -39,7 +39,7 @@
{
"data": {
"text/plain": [
- ""
+ ""
]
},
"execution_count": 1,
@@ -53,7 +53,7 @@
"import torch.nn as nn\n",
"import torch.nn.functional as F\n",
"\n",
- "from sbi import analysis, inference, utils\n",
+ "from sbi import analysis, utils\n",
"from sbi.inference import SNPE, prepare_for_sbi, simulate_for_sbi\n",
"\n",
"seed = 0\n",
@@ -66,7 +66,7 @@
"source": [
"## The simulator model\n",
"\n",
- "The simulator model that we consider has two parameters: $r$ and $\\theta$. On each run, it generates 100 two-dimensional points centered around $(r \\cos(\\theta), r \\sin(\\theta))$ and perturbed by a Gaussian noise with variance 0.01. Instead of simply outputting the $(x,y)$ coordinates of each data point, the model generates a grayscale image of the scattered points with dimensions 32 by 32. This image is further perturbed by an uniform noise with values betweeen 0 and 0.2. The code below defines such model."
+ "The simulator model that we consider has two parameters: $r$ and $\\theta$. On each run, it generates 100 two-dimensional points centered around $(r \\cos(\\theta), r \\sin(\\theta))$ and perturbed by a Gaussian noise with variance 0.01. Instead of simply outputting the $(x,y)$ coordinates of each data point, the model generates a grayscale image of the scattered points with dimensions 32 by 32. This image is further perturbed by an uniform noise with values betweeen 0 and 0.2. The code below defines such model.\n"
]
},
{
@@ -76,15 +76,16 @@
"outputs": [],
"source": [
"def simulator_model(parameter, return_points=False):\n",
- " \"\"\"Simulator model with two-dimensional input parameter and 1024-dimensional output\n",
+ " \"\"\"Simulator model with two-dimensional input parameter and 1024-D output\n",
"\n",
- " This simulator serves as a basic example for using a neural net for learning summary features.\n",
- " It has only two input parameters but generates high-dimensional output vectors.\n",
- " The data is generated as follows:\n",
- " (-) Input: parameter = [r, theta]\n",
- " (1) Generate 100 two-dimensional points centered around (r cos(theta),r sin(theta))\n",
+ " This simulator serves as a basic example for using a neural net for learning\n",
+ " summary features. It has only two input parameters but generates\n",
+ " high-dimensional output vectors. The data is generated as follows:\n",
+ " (-) Input: parameter = [r, theta] (1) Generate 100 two-dimensional\n",
+ " points centered around (r cos(theta),r sin(theta))\n",
" and perturbed by a Gaussian noise with variance 0.01\n",
- " (2) Create a grayscale image I of the scattered points with dimensions 32 by 32\n",
+ " (2) Create a grayscale image I of the scattered points with dimensions\n",
+ " 32 by 32\n",
" (3) Perturb I with an uniform noise with values betweeen 0 and 0.2\n",
" (-) Output: I\n",
"\n",
@@ -93,7 +94,8 @@
" parameter : array-like, shape (2)\n",
" The two input parameters of the model, ordered as [r, theta]\n",
" return_points : bool (default: False)\n",
- " Whether the simulator should return the coordinates of the simulated data points as well\n",
+ " Whether the simulator should return the coordinates of the simulated\n",
+ " data points as well\n",
"\n",
" Returns\n",
" -------\n",
@@ -118,27 +120,27 @@
" nx = 32\n",
" ny = 32\n",
" sigma_image = 0.20\n",
- " I = torch.zeros(nx, ny)\n",
+ " im = torch.zeros(nx, ny)\n",
" for point in points:\n",
" pi = int((point[0] - (-1)) / ((+1) - (-1)) * nx)\n",
" pj = int((point[1] - (-1)) / ((+1) - (-1)) * ny)\n",
" if (pi < nx) and (pj < ny):\n",
- " I[pi, pj] = 1\n",
- " I = I + sigma_image * torch.rand(nx, ny)\n",
- " I = I.T\n",
- " I = I.reshape(1, -1)\n",
+ " im[pi, pj] = 1\n",
+ " im = im + sigma_image * torch.rand(nx, ny)\n",
+ " im = im.T\n",
+ " im = im.reshape(1, -1)\n",
"\n",
" if return_points:\n",
- " return I, points\n",
+ " return im, points\n",
" else:\n",
- " return I"
+ " return im"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The figure below shows an example of the output of the simulator when $r = 0.70$ and $\\theta = \\pi/4$"
+ "The figure below shows an example of the output of the simulator when $r = 0.70$ and $\\theta = \\pi/4$\n"
]
},
{
@@ -158,7 +160,7 @@
},
{
"data": {
- "image/png": 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",
"text/plain": [
""
]
@@ -198,14 +200,15 @@
"source": [
"## Defining an `embedding_net`\n",
"\n",
- "An inference procedure applied to the output data from this simulator model determines the posterior distribution of $r$ and $\\theta$ given an observation of $x$, which lives in a 1024 dimensional space (32 x 32 = 1024). To avoid working directly on these high-dimensional vectors, one can use a convolutional neural network (CNN) that takes the 32x32 images as input and encodes them into 8-dimensional feature vectors. This CNN is trained along with the neural density estimator of the inference procedure and serves as an automatic summary statistics extractor. \n",
+ "An inference procedure applied to the output data from this simulator model determines the posterior distribution of $r$ and $\\theta$ given an observation of $x$, which lives in a 1024 dimensional space (32 x 32 = 1024). To avoid working directly on these high-dimensional vectors, one can use a convolutional neural network (CNN) that takes the 32x32 images as input and encodes them into 8-dimensional feature vectors. This CNN is trained along with the neural density estimator of the inference procedure and serves as an automatic summary statistics extractor.\n",
"\n",
- "`sbi` provides pre-configured embedding networks of the following types: \n",
- "- Fully-connected multi-layer perceptron \n",
- "- Convolutional neural network (1D and 2D convolutions) \n",
- "- Permutation-invariant neural network (for trial-based data, see [here](https://sbi-dev.github.io/sbi/tutorial/14_iid_data_and_permutation_invariant_embeddings/)) \n",
+ "`sbi` provides pre-configured embedding networks of the following types:\n",
"\n",
- "These networks can be instatiated and customized as follows (please see [here](https://github.com/sbi-dev/sbi/blob/main/sbi/neural_nets/embedding_nets.py) for all options on hyperparameters):"
+ "- Fully-connected multi-layer perceptron\n",
+ "- Convolutional neural network (1D and 2D convolutions)\n",
+ "- Permutation-invariant neural network (for trial-based data, see [here](https://sbi-dev.github.io/sbi/tutorial/14_iid_data_and_permutation_invariant_embeddings/))\n",
+ "\n",
+ "These networks can be instatiated and customized as follows (please see [here](https://github.com/sbi-dev/sbi/blob/main/sbi/neural_nets/embedding_nets.py) for all options on hyperparameters):\n"
]
},
{
@@ -223,12 +226,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Alternatively, you can define custom embedding networks and pass those to `sbi`. For example, you can define and instantiate the CNN as follows:\\"
+ "Alternatively, you can define custom embedding networks and pass those to `sbi`. For example, you can define and instantiate the CNN as follows:\\\n"
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
@@ -239,7 +242,8 @@
" self.conv1 = nn.Conv2d(in_channels=1, out_channels=6, kernel_size=5, padding=2)\n",
" # Maxpool layer that reduces 32x32 image to 4x4\n",
" self.pool = nn.MaxPool2d(kernel_size=8, stride=8)\n",
- " # Fully connected layer taking as input the 6 flattened output arrays from the maxpooling layer\n",
+ " # Fully connected layer taking as input the 6 flattened output arrays\n",
+ " # from the maxpooling layer\n",
" self.fc = nn.Linear(in_features=6 * 4 * 4, out_features=8)\n",
"\n",
" def forward(self, x):\n",
@@ -259,12 +263,12 @@
"source": [
"## The inference procedure\n",
"\n",
- "With the `embedding_net` defined and instantiated, we can follow the usual workflow of an inference procedure in `sbi`. The `embedding_net` object appears as an input argument when instantiating the neural density estimator with `utils.posterior_nn`."
+ "With the `embedding_net` defined and instantiated, we can follow the usual workflow of an inference procedure in `sbi`. The `embedding_net` object appears as an input argument when instantiating the neural density estimator with `utils.posterior_nn`.\n"
]
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -279,7 +283,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
@@ -289,18 +293,18 @@
")\n",
"\n",
"# setup the inference procedure with the SNPE-C procedure\n",
- "inference = SNPE(prior=prior, density_estimator=neural_posterior)"
+ "inferer = SNPE(prior=prior, density_estimator=neural_posterior)"
]
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "ad3fe3b3c92e456e8836a6c22c3fef89",
+ "model_id": "7bfd89d4704e412eba347934b8c092d2",
"version_major": 2,
"version_minor": 0
},
@@ -319,20 +323,20 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 176 epochs."
+ " Neural network successfully converged after 96 epochs."
]
}
],
"source": [
- "density_estimator = inference.append_simulations(theta, x).train()\n",
- "posterior = inference.build_posterior(density_estimator)"
+ "density_estimator = inferer.append_simulations(theta, x).train(training_batch_size=256)\n",
+ "posterior = inferer.build_posterior(density_estimator)"
]
},
{
@@ -341,18 +345,18 @@
"source": [
"## Visualizing the results\n",
"\n",
- "We now generate 50000 samples of the posterior distribution of $r$ and $\\theta$ when observing an input data point $x$ generated from the `simulator model` with $r = 0.70$ and $\\theta = \\pi/4$. "
+ "We now generate 50000 samples of the posterior distribution of $r$ and $\\theta$ when observing an input data point $x$ generated from the `simulator model` with $r = 0.70$ and $\\theta = \\pi/4$.\n"
]
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "289c28e9e81746489591ab023e0f5cf2",
+ "model_id": "8585e61f97834eadb56d4d42385d1d7a",
"version_major": 2,
"version_minor": 0
},
@@ -375,17 +379,17 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The figure below shows the statistics of the generated samples."
+ "The figure below shows the statistics of the generated samples.\n"
]
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -406,13 +410,6 @@
" figsize=(5, 5),\n",
")"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -431,7 +428,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.11.5"
+ "version": "3.8.18"
}
},
"nbformat": 4,
diff --git a/tutorials/07_conditional_distributions.ipynb b/tutorials/07_conditional_distributions.ipynb
index 4ba877c3d..c80399881 100644
--- a/tutorials/07_conditional_distributions.ipynb
+++ b/tutorials/07_conditional_distributions.ipynb
@@ -6,31 +6,32 @@
"source": [
"# Analysing variability and compensation mechansims with conditional distributions\n",
"\n",
- "A central advantage of `sbi` over parameter search methods such as genetic algorithms is that the posterior captures **all** models that can reproduce experimental data. This allows us to analyse whether parameters can be variable or have to be narrowly tuned, and to analyse compensation mechanisms between different parameters. See also [Marder and Taylor, 2011](https://www.nature.com/articles/nn.2735?page=2) for further motivation to identify all models that capture experimental data. \n",
+ "A central advantage of `sbi` over parameter search methods such as genetic algorithms is that the posterior captures **all** models that can reproduce experimental data. This allows us to analyse whether parameters can be variable or have to be narrowly tuned, and to analyse compensation mechanisms between different parameters. See also [Marder and Taylor, 2011](https://www.nature.com/articles/nn.2735?page=2) for further motivation to identify all models that capture experimental data.\n",
"\n",
- "In this tutorial, we will show how one can use the posterior distribution to identify whether parameters can be variable or have to be finely tuned, and how we can use the posterior to find potential compensation mechanisms between model parameters. To investigate this, we will extract **conditional distributions** from the posterior inferred with `sbi`."
+ "In this tutorial, we will show how one can use the posterior distribution to identify whether parameters can be variable or have to be finely tuned, and how we can use the posterior to find potential compensation mechanisms between model parameters. To investigate this, we will extract **conditional distributions** from the posterior inferred with `sbi`.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Note, you can find the original version of this notebook at [https://github.com/sbi-dev/sbi/blob/main/tutorials/07_conditional_distributions.ipynb](https://github.com/sbi-dev/sbi/blob/main/tutorials/07_conditional_distributions.ipynb) in the `sbi` repository."
+ "Note, you can find the original version of this notebook at [https://github.com/sbi-dev/sbi/blob/main/tutorials/07_conditional_distributions.ipynb](https://github.com/sbi-dev/sbi/blob/main/tutorials/07_conditional_distributions.ipynb) in the `sbi` repository.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Main syntax"
+ "## Main syntax\n"
]
},
{
- "cell_type": "code",
- "execution_count": null,
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [],
"source": [
+ "Asssuming you have already obtained `posterior`.\n",
+ "\n",
+ "```python\n",
"from sbi.analysis import conditional_corrcoeff, conditional_pairplot\n",
"\n",
"# Plot slices through posterior, i.e. conditionals.\n",
@@ -46,7 +47,8 @@
" condition=posterior.sample((1,)),\n",
" limits=torch.tensor([[-2.0, 2.0], [-2.0, 2.0]]),\n",
")\n",
- "plt.imshow(cond_coeff_mat, clim=[-1, 1])"
+ "plt.imshow(cond_coeff_mat, clim=[-1, 1])\n",
+ "```\n"
]
},
{
@@ -54,7 +56,8 @@
"metadata": {},
"source": [
"## Analysing variability and compensation mechanisms in a toy example\n",
- "Below, we use a simple toy example to demonstrate the above described features. For an application of these features to a neuroscience problem, see figure 6 in [Gonçalves, Lueckmann, Deistler et al., 2019](https://arxiv.org/abs/1907.00770)."
+ "\n",
+ "Below, we use a simple toy example to demonstrate the above described features. For an application of these features to a neuroscience problem, see figure 6 in [Gonçalves, Lueckmann, Deistler et al., 2019](https://arxiv.org/abs/1907.00770).\n"
]
},
{
@@ -69,8 +72,12 @@
"from IPython.display import HTML\n",
"from matplotlib import animation, rc\n",
"\n",
- "from sbi import utils as utils\n",
- "from sbi.analysis import conditional_corrcoeff, conditional_pairplot, pairplot\n",
+ "from sbi.analysis import (\n",
+ " conditional_corrcoeff,\n",
+ " conditional_pairplot,\n",
+ " conditional_potential,\n",
+ " pairplot,\n",
+ ")\n",
"\n",
"_ = torch.manual_seed(0)"
]
@@ -79,7 +86,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Let's say we have used SNPE to obtain a posterior distribution over three parameters. In this tutorial, we just load the posterior from a file:"
+ "Let's say we have used SNPE to obtain a posterior distribution over three parameters. In this tutorial, we just load the posterior from a file:\n"
]
},
{
@@ -97,7 +104,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "First, we specify the experimental observation $x_o$ at which we want to evaluate and sample the posterior $p(\\theta|x_o)$:"
+ "First, we specify the experimental observation $x_o$ at which we want to evaluate and sample the posterior $p(\\theta|x_o)$:\n"
]
},
{
@@ -114,7 +121,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "As always, we can inspect the posterior marginals with the `pairplot()` function:"
+ "As always, we can inspect the posterior marginals with the `pairplot()` function:\n"
]
},
{
@@ -124,14 +131,12 @@
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -151,7 +156,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The 1D and 2D marginals of the posterior fill almost the entire parameter space! Also, the Pearson correlation coefficient matrix of the marginal shows rather weak interactions (low correlations):"
+ "The 1D and 2D marginals of the posterior fill almost the entire parameter space! Also, the Pearson correlation coefficient matrix of the marginal shows rather weak interactions (low correlations):\n"
]
},
{
@@ -161,14 +166,12 @@
"outputs": [
{
"data": {
- "image/png": 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",
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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -183,14 +186,14 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "It might be tempting to conclude that the experimental data barely constrains our parameters and that almost all parameter combinations can reproduce the experimental data. As we will show below, this is not the case."
+ "It might be tempting to conclude that the experimental data barely constrains our parameters and that almost all parameter combinations can reproduce the experimental data. As we will show below, this is not the case.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Because our toy posterior has only three parameters, we can plot posterior samples in a 3D plot:"
+ "Because our toy posterior has only three parameters, we can plot posterior samples in a 3D plot:\n"
]
},
{
@@ -245,16003 +248,25735 @@
{
"data": {
"text/html": [
- ""
@@ -16263,31 +25998,29 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Clearly, the range of admissible parameters is constrained to a narrow region in parameter space, which had not been evident from the marginals."
+ "Clearly, the range of admissible parameters is constrained to a narrow region in parameter space, which had not been evident from the marginals.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "If the posterior has more than three dimensions, inspecting all dimensions at once will not be possible anymore. One way to still reveal structures in high-dimensional posteriors is to inspect 2D-slices through the posterior. In `sbi`, this can be done with the `conditional_pairplot()` function, which computes the conditional distributions within the posterior. We can slice (i.e. condition) the posterior at any location, given by the `condition`. In the plot below, for all upper diagonal plots, we keep all but two parameters constant at values sampled from the posterior, and inspect what combinations of the remaining two parameters can reproduce experimental data. For the plots on the diagonal (the 1D conditionals), we keep all but one parameter constant."
+ "If the posterior has more than three dimensions, inspecting all dimensions at once will not be possible anymore. One way to still reveal structures in high-dimensional posteriors is to inspect 2D-slices through the posterior. In `sbi`, this can be done with the `conditional_pairplot()` function, which computes the conditional distributions within the posterior. We can slice (i.e. condition) the posterior at any location, given by the `condition`. In the plot below, for all upper diagonal plots, we keep all but two parameters constant at values sampled from the posterior, and inspect what combinations of the remaining two parameters can reproduce experimental data. For the plots on the diagonal (the 1D conditionals), we keep all but one parameter constant.\n"
]
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -16306,31 +26039,37 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "This plot looks completely different from the marginals obtained with `pairplot()`. As it can be seen on the diagonal plots, if all parameters but one are kept constant, the remaining parameter has to be tuned to a narrow region in parameter space. In addition, the upper diagonal plots show strong correlations: deviations in one parameter can be compensated through changes in another parameter."
+ "This plot looks completely different from the marginals obtained with `pairplot()`. As it can be seen on the diagonal plots, if all parameters but one are kept constant, the remaining parameter has to be tuned to a narrow region in parameter space. In addition, the upper diagonal plots show strong correlations: deviations in one parameter can be compensated through changes in another parameter.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can summarize these correlations in a conditional correlation matrix, which computes the Pearson correlation coefficient of each of these pairwise plots. This matrix (below) shows strong correlations between many parameters, which can be interpreted as potential compensation mechansims:"
+ "We can summarize these correlations in a conditional correlation matrix, which computes the Pearson correlation coefficient of each of these pairwise plots. This matrix (below) shows strong correlations between many parameters, which can be interpreted as potential compensation mechansims:\n"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/janteusen/miniconda3/envs/sbi/lib/python3.8/site-packages/torch/functional.py:507: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/TensorShape.cpp:3550.)\n",
+ " return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -16349,7 +26088,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "So far, we have investigated the conditional distribution only at a specific `condition` sampled from the posterior. In many applications, it makes sense to repeat the above analyses with a different `condition` (another sample from the posterior), which can be interpreted as slicing the posterior at a different location. Note that `conditional_corrcoeff()` can directly compute the matrix for several `conditions` and then outputs the average over them. This can be done by passing a batch of $N$ conditions as the `condition` argument."
+ "So far, we have investigated the conditional distribution only at a specific `condition` sampled from the posterior. In many applications, it makes sense to repeat the above analyses with a different `condition` (another sample from the posterior), which can be interpreted as slicing the posterior at a different location. Note that `conditional_corrcoeff()` can directly compute the matrix for several `conditions` and then outputs the average over them. This can be done by passing a batch of $N$ conditions as the `condition` argument.\n"
]
},
{
@@ -16358,25 +26097,25 @@
"source": [
"## Sampling conditional distributions\n",
"\n",
- "So far, we have demonstrated how one can plot 2D conditional distributions with `conditional_pairplot()` and how one can compute the pairwise conditional correlation coefficient with `conditional_corrcoeff()`. In some cases, it can be useful to keep a subset of parameters fixed and to vary **more than two** parameters. This can be done by sampling the conditonal posterior $p(\\theta_i | \\theta_{j \\neq i}, x_o)$. As of `sbi` `v0.18.0`, this functionality requires using the [sampler interface](https://sbi-dev.github.io/sbi/tutorial/11_sampler_interface/). In this tutorial, we demonstrate this functionality on a linear gaussian simulator with four parameters. We would like to fix the forth parameter to $\\theta_4=0.2$ and sample the first three parameters given that value, i.e. we want to sample $p(\\theta_1, \\theta_2, \\theta_3 | \\theta_4 = 0.2, x_o)$. For an application in neuroscience, see [Deistler, Gonçalves, Macke, 2021](https://www.biorxiv.org/content/10.1101/2021.07.30.454484v4.abstract)."
+ "So far, we have demonstrated how one can plot 2D conditional distributions with `conditional_pairplot()` and how one can compute the pairwise conditional correlation coefficient with `conditional_corrcoeff()`. In some cases, it can be useful to keep a subset of parameters fixed and to vary **more than two** parameters. This can be done by sampling the conditonal posterior $p(\\theta_i | \\theta_{j \\neq i}, x_o)$. As of `sbi` `v0.18.0`, this functionality requires using the [sampler interface](https://sbi-dev.github.io/sbi/tutorial/11_sampler_interface/). In this tutorial, we demonstrate this functionality on a linear gaussian simulator with four parameters. We would like to fix the forth parameter to $\\theta_4=0.2$ and sample the first three parameters given that value, i.e. we want to sample $p(\\theta_1, \\theta_2, \\theta_3 | \\theta_4 = 0.2, x_o)$. For an application in neuroscience, see [Deistler, Gonçalves, Macke, 2021](https://www.biorxiv.org/content/10.1101/2021.07.30.454484v4.abstract).\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "In this tutorial, we will use SNPE, but the same also works for SNLE and SNRE. First, we define the prior and the simulator and train the deep neural density estimator:"
+ "In this tutorial, we will use SNPE, but the same also works for SNLE and SNRE. First, we define the prior and the simulator and train the deep neural density estimator:\n"
]
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "4683b28ba0614e87b33854d207e30da2",
+ "model_id": "a9a78ea7234a4236971491342d135c10",
"version_major": 2,
"version_minor": 0
},
@@ -16391,7 +26130,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 147 epochs."
+ " Neural network successfully converged after 118 epochs."
]
}
],
@@ -16426,12 +26165,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Next, we follow the sampler interface and create a potential_function. The observation in this example is `x_o=[1, 1, 1, 1]`."
+ "Next, we follow the sampler interface and create a potential_function. The observation in this example is `x_o=[1, 1, 1, 1]`.\n"
]
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
@@ -16444,17 +26183,15 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Now we want to build the conditional potential (please read throught the [sampler interface tutorial](https://www.mackelab.org/sbi/tutorial/11_sampler_interface/) for an explanation of potential functions). For this, we have to pass a `condition`. In our case, we want to condition the forth parameter on $\\theta_4=0.2$. Regardless of how many parameters one wants to condition on, in `sbi`, one has to pass a `condition` value for all parameters. The first three values will simply be ignored. We can tell the algorithm which parameters should be kept fixed and which ones should be sampled with the argument `dims_to_sample`."
+ "Now we want to build the conditional potential (please read throught the [sampler interface tutorial](https://www.mackelab.org/sbi/tutorial/11_sampler_interface/) for an explanation of potential functions). For this, we have to pass a `condition`. In our case, we want to condition the forth parameter on $\\theta_4=0.2$. Regardless of how many parameters one wants to condition on, in `sbi`, one has to pass a `condition` value for all parameters. The first three values will simply be ignored. We can tell the algorithm which parameters should be kept fixed and which ones should be sampled with the argument `dims_to_sample`.\n"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
- "from sbi.analysis import conditional_potential\n",
- "\n",
"conditioned_potential_fn, restricted_tf, restricted_prior = conditional_potential(\n",
" potential_fn=potential_fn,\n",
" theta_transform=theta_transform,\n",
@@ -16470,51 +26207,23 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Finally, we have to build a sampler for the `conditioned_potential_fn`. E.g., we can sample the conditional posterior with MCMC:"
+ "Finally, we have to build a sampler for the `conditioned_potential_fn`. E.g., we can sample the conditional posterior with MCMC:\n"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "6432713cb8504aff84537b3fbb99caf3",
+ "model_id": "dad8910f75f74c6fbaa6f10d82c2dc01",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- " 0%| | 0/50 [00:00, ?it/s]"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "a7cc8000f0d64e4086e4a986c43a897e",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- " 0%| | 0/10 [00:00, ?it/s]"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "67037a2368e7498bb459514717e0f627",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- " 0%| | 0/100 [00:00, ?it/s]"
+ "Running vectorized MCMC with 20 chains: 0%| | 0/3000 [00:00, ?it/s]"
]
},
"metadata": {},
@@ -16526,7 +26235,9 @@
" potential_fn=conditioned_potential_fn,\n",
" theta_transform=restricted_tf,\n",
" proposal=restricted_prior,\n",
- ")\n",
+ " method=\"slice_np_vectorized\",\n",
+ " num_chains=20,\n",
+ ").set_default_x(x_o)\n",
"cond_samples = mcmc_posterior.sample((100,))"
]
},
@@ -16534,12 +26245,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The resulting samples are 3-dimensional, corresponding to $[\\theta_1, \\theta_2, \\theta_3]$, sampled from $p(\\theta_1, \\theta_2, \\theta_3 | \\theta_4=0.2, x_o)$."
+ "The resulting samples are 3-dimensional, corresponding to $[\\theta_1, \\theta_2, \\theta_3]$, sampled from $p(\\theta_1, \\theta_2, \\theta_3 | \\theta_4=0.2, x_o)$.\n"
]
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
@@ -16558,31 +26269,41 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can also plot them with `pairplot`:"
+ "We can also plot them with `pairplot`:\n"
]
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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Mo7a2JulhSfdllx+RdM0El9Ml6X8lvZ0dSfW3jZ20dt5N1CwTEQ+dxI8fBq6OiP3Z3l+rJK2IiDcaNF7N/EhtbUfSg5I2S1oFnDvq9mWSbsoub5P0WLar6lpJF0laKekDSXcdv8yo2J9dnZJ9FbITiKO2tiLpYuBmoA+4Hvh+lbt/FBF9VPbmWgbcBFwOnHDTWlKHpHXAJ8ArETHmkVSTyVFbu7kSeCEiDmZHOr1Y5b7HvrceeDMi9kXEp8BhSTOPv3NEjGT/CMwFLpU07on3J4OjNhvb4ezP8qjLx66P+XpUROwBXgOunbTJqnDU1m5eBxZL6s5ODXRjIxYq6WvHHr0ldVM5/dG7jVh2vfzqt7WV7DxfzwFvU3nuu6ZBi54N/Do7p1kJ+E1E/FuDll0XH6VllhhvfpslxlGbJcZRmyXGUZslxlGbJcZRmyXGUZslxlGbJeb/AUceoF2IB/OsAAAAAElFTkSuQmCC",
"text/plain": [
- ""
+ "(,\n",
+ " array([[, , ],\n",
+ " [, , ],\n",
+ " [, , ]], dtype=object))"
]
},
- "metadata": {
- "needs_background": "light"
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
},
+ "metadata": {},
"output_type": "display_data"
}
],
"source": [
- "from sbi.analysis import pairplot\n",
- "\n",
- "_ = pairplot(cond_samples, limits=[[-2, 2], [-2, 2], [-2, 2], [-2, 2]], figsize=(4, 4))"
+ "pairplot(cond_samples, limits=[[-2, 2], [-2, 2], [-2, 2], [-2, 2]], figsize=(8, 8),\n",
+ " hist_diag=dict(bins=\"auto\"))"
]
}
],
@@ -16602,7 +26323,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.5"
+ "version": "3.8.18"
}
},
"nbformat": 4,
diff --git a/tutorials/08_restriction_estimator.ipynb b/tutorials/08_restriction_estimator.ipynb
index fd52ccbbe..c0e3774f7 100644
--- a/tutorials/08_restriction_estimator.ipynb
+++ b/tutorials/08_restriction_estimator.ipynb
@@ -6,24 +6,23 @@
"source": [
"# Efficient handling of invalid simulation outputs\n",
"\n",
- "For many simulators, the output of the simulator can be ill-defined or it can have non-sensical values. For example, in neuroscience models, if a specific parameter set does not produce a spike, features such as the spike shape can not be computed. When using `sbi`, such simulations that have `NaN` or `inf` in their output are discarded during neural network training. This can lead to inefficetive use of simulation budget: we carry out many simulations, but a potentially large fraction of them is discarded. \n",
+ "For many simulators, the output of the simulator can be ill-defined or it can have non-sensical values. For example, in neuroscience models, if a specific parameter set does not produce a spike, features such as the spike shape can not be computed. When using `sbi`, such simulations that have `NaN` or `inf` in their output are discarded during neural network training. This can lead to inefficetive use of simulation budget: we carry out many simulations, but a potentially large fraction of them is discarded.\n",
"\n",
- "In this tutorial, we show how we can use `sbi` to learn regions in parameter space that produce `valid` simulation outputs, and thereby improve the sampling efficiency. The key idea of the method is to use a classifier to distinguish parameters that lead to `valid` simulations from regions that lead to `invalid` simulations. After we have obtained the region in parameter space that produes `valid` simulation outputs, we train the deep neural density estimator used in `SNPE`. The method was originally proposed in [Lueckmann, Goncalves et al. 2017](https://arxiv.org/abs/1711.01861) and later used in [Deistler et al. 2021](https://www.biorxiv.org/content/10.1101/2021.07.30.454484v3.abstract)."
+ "In this tutorial, we show how we can use `sbi` to learn regions in parameter space that produce `valid` simulation outputs, and thereby improve the sampling efficiency. The key idea of the method is to use a classifier to distinguish parameters that lead to `valid` simulations from regions that lead to `invalid` simulations. After we have obtained the region in parameter space that produes `valid` simulation outputs, we train the deep neural density estimator used in `SNPE`. The method was originally proposed in [Lueckmann, Goncalves et al. 2017](https://arxiv.org/abs/1711.01861) and later used in [Deistler et al. 2021](https://www.biorxiv.org/content/10.1101/2021.07.30.454484v3.abstract).\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Main syntax"
+ "## Main syntax\n"
]
},
{
- "cell_type": "code",
- "execution_count": null,
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [],
"source": [
+ "```python\n",
"from sbi.inference import SNPE\n",
"from sbi.utils import RestrictionEstimator\n",
"\n",
@@ -43,14 +42,15 @@
"\n",
"inference = SNPE(prior=prior)\n",
"density_estimator = inference.append_simulations(all_theta, all_x).train()\n",
- "posterior = inference.build_posterior()"
+ "posterior = inference.build_posterior()\n",
+ "```\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Further explanation in a toy example"
+ "## Further explanation in a toy example\n"
]
},
{
@@ -72,7 +72,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We will define a simulator with two parameters and two simulation outputs. The simulator produces `NaN` whenever the first parameter is below `0.0`. If it is above `0.0` the simulator simply perturbs the parameter set with Gaussian noise:"
+ "We will define a simulator with two parameters and two simulation outputs. The simulator produces `NaN` whenever the first parameter is below `0.0`. If it is above `0.0` the simulator simply perturbs the parameter set with Gaussian noise:\n"
]
},
{
@@ -91,7 +91,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The prior is a uniform distribution in [-2, 2]:"
+ "The prior is a uniform distribution in [-2, 2]:\n"
]
},
{
@@ -107,7 +107,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We then begin by drawing samples from the prior and simulating them. Looking at the simulation outputs, half of them contain `NaN`:"
+ "We then begin by drawing samples from the prior and simulating them. Looking at the simulation outputs, half of them contain `NaN`:\n"
]
},
{
@@ -118,7 +118,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "6ee9400b22f4437ca720a451d7af7bd0",
+ "model_id": "0699a2ea8c5d4b828ef3b85a489e5168",
"version_major": 2,
"version_minor": 0
},
@@ -133,13 +133,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Simulation outputs: tensor([[ 0.0411, -0.5656],\n",
- " [ 0.0096, -1.0841],\n",
- " [ 1.2937, 0.9448],\n",
+ "Simulation outputs: tensor([[ 0.0538, -0.1295],\n",
+ " [ 0.7811, -0.1608],\n",
+ " [ 0.8663, 0.3622],\n",
" ...,\n",
" [ nan, nan],\n",
" [ nan, nan],\n",
- " [ 2.7940, 0.6461]])\n"
+ " [ 1.7638, 0.1825]])\n"
]
}
],
@@ -152,7 +152,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The simulations that contain `NaN` are wasted, and we want to learn to \"restrict\" the prior such that it produces only `valid` simulation outputs. To do so, we set up the `RestrictionEstimator`:"
+ "The simulations that contain `NaN` are wasted, and we want to learn to \"restrict\" the prior such that it produces only `valid` simulation outputs. To do so, we set up the `RestrictionEstimator`:\n"
]
},
{
@@ -168,7 +168,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The `RestrictionEstimator` trains a classifier to distinguish parameters that lead to `valid` simulation outputs from parameters that lead to `invalid` simulation outputs "
+ "The `RestrictionEstimator` trains a classifier to distinguish parameters that lead to `valid` simulation outputs from parameters that lead to `invalid` simulation outputs\n"
]
},
{
@@ -180,7 +180,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Training neural network. Epochs trained: 35\r"
+ "Training neural network. Epochs trained: 46\r"
]
}
],
@@ -193,7 +193,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can inspect the `restricted_prior`, i.e. the parameters that the classifier believes will lead to `valid` simulation outputs, with:"
+ "We can inspect the `restricted_prior`, i.e. the parameters that the classifier believes will lead to `valid` simulation outputs, with:\n"
]
},
{
@@ -205,19 +205,19 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "The classifier rejected 51.6% of all samples. You will get a speed-up of 106.5%.\n"
+ "The `RestrictedPrior` rejected 51.3%\n",
+ " of prior samples. You will get a speed-up of\n",
+ " 105.2%.\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -231,7 +231,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Indeed, parameter sets sampled from the `restricted_prior` always have a first parameter larger than `0.0`. These are the ones that produce `valid` simulation outputs (see our definition of the simulator above). We can then use the `restricted_prior` to generate more simulations. Almost all of them will have `valid` simulation outputs:"
+ "Indeed, parameter sets sampled from the `restricted_prior` always have a first parameter larger than `0.0`. These are the ones that produce `valid` simulation outputs (see our definition of the simulator above). We can then use the `restricted_prior` to generate more simulations. Almost all of them will have `valid` simulation outputs:\n"
]
},
{
@@ -243,13 +243,15 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "The classifier rejected 50.9% of all samples. You will get a speed-up of 103.6%.\n"
+ "The `RestrictedPrior` rejected 50.2%\n",
+ " of prior samples. You will get a speed-up of\n",
+ " 100.8%.\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "1f2d11a367bd4b89b301213ebcbf478f",
+ "model_id": "ea07b0a1c6fc46e89a98fbf1f636e62f",
"version_major": 2,
"version_minor": 0
},
@@ -264,13 +266,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Simulation outputs: tensor([[ 0.6834, -0.2415],\n",
- " [ 1.3459, 1.5373],\n",
- " [ 2.1092, 1.9180],\n",
+ "Simulation outputs: tensor([[ 1.0285, 1.2620],\n",
+ " [ 1.5197, 1.1854],\n",
+ " [ 0.6391, 2.6417],\n",
" ...,\n",
- " [ 0.8845, 0.4036],\n",
- " [ 1.9111, 1.2526],\n",
- " [ 0.8320, 2.3755]])\n"
+ " [ 1.3871, -0.8298],\n",
+ " [ 0.9003, -1.7289],\n",
+ " [ 0.7951, 0.2624]])\n"
]
}
],
@@ -283,7 +285,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can now use **all** simulations and run `SNPE` as always:"
+ "We can now use **all** simulations and run `SNPE` as always:\n"
]
},
{
@@ -295,20 +297,20 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "WARNING:root:Found 523 NaN simulations and 0 Inf simulations. They will be excluded from training.\n"
+ "WARNING:root:Found 524 NaN simulations and 0 Inf simulations. They will be excluded from training.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 118 epochs."
+ " Neural network successfully converged after 107 epochs."
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "13bb699686444c7ca16df8e19a38925c",
+ "model_id": "9dce7fb4f00049399bb0b7cafb0968e0",
"version_major": 2,
"version_minor": 0
},
@@ -321,14 +323,12 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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dmEzWyv/8crK2uj39nEduX5/e7qX02N/WgsnG9YKfNDsH08Xxt6XH8F7SmR6zXOSJp69O1tqfS49Yjt70eN5fuPx/JWv7//mWwn7Wfjd9/MevT39uuv45/R62TqTfp57Hhgr7SZl6aST9fMYFAwAAy41gAgAAZCeYAAAA2QkmAABAdoIJAACQnalcsMQMjdZipDpzWsfgcHp6CQDAUiCYwBIyNFqLnXsPRm2OMZHlUlt0dxSMrARYIVrXrEnWpk6cWMBOIiZfTI/ubVmdHlF70Uh6RG1ExFRn+t/7iY1r09u1py+WueSpV5O145enf2Q82ZMeUdv13WQpXvzp9Ejc1ucvTtaeO5E+9vY16X0WjQQeX18wfvmpcrL257WbkrWWi9KvS0TEqfR05th8IP16n1qX3m7Nc6eStfHLNiRr7T94Kb3TDV3J0mSpLb1dAwQTWEJGquNRm5iMfbu2RW9P54xad0d7VLrS/3gCACxmggksQb09nbG1UvArEwCAJcbN7wAAQHaCCQAAkJ1gAgAAZCeYAAAA2QkmAABAdqZyAQDZtJTSa1LUJ9JrUhRt1+jzta4rWP/kWHr9k6L1SFpWNdjn2CvF9fGJdHF9R7JUtI7J6h+fLHjG1el9XpT+cXI8vaRKobVXj6aLX04vAHLsuvS6Gt1D6XVFJta2JGuvXJP+HHZdml7gePRHxQffUdDPuqdGk7V6wdoh9VXp2kUvpPdZtMZJ0Zo6LYNHkrVGOGMCAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkZFwwAZFM0ErjR7RodM9zoSOAi9VMFfZ48lay1lUrFOx6rJkvjV6fH6a46mh5DPNmZfm1Gr07/yNh+PD32dtXxqWRtqui9+Hb6GIp+el33vfS43GolvV3peHpc8Jr/mX4vTm5I97nxhfSxR0R0/Cj92XjlqvSo4cn2dK/l4fQ+x67flO7l8WeStaLPcKPjsFMEE2DFGxyePYe+u6M9Kl3lDN0AwMokmAArVndHe5RLbdG/f2BWrVxqiwO7+4QTAFggggmwYlW6ynFgd1+MVGeeph4cHov+/QMxUh0XTABggQgmwIpW6SoLHwCwCJjKBQAAZCeYAAAA2bmUCwBYcorG/i70COIiF115ebpYMIZ1ctOGwv22TEwma6t/mB57XGSqPf376vWHJ9LbldLja4tG265+KT1m+OIX08f3yiXpkcDja9PP1/V0enzvqXXpY+8aPJmsvVxanayteS49DvpsVlfTr3fby+lR0ZPrO5K1jsPHk7WWzvR2RYpGCTfCGRMAACA7wQQAAMhOMAEAALITTAAAgOzc/A6L1NBobc6F/wAAliPBBBahodFa7Nx7MGpzTF0pl9qiuyM9jQYAYCkSTGARGqmOR21iMvbt2ha9PZ0zat0d7VYqB1a8ZowELtLoeOKpl0bS+1yV3mfrD14o7qfB8a5FSqX0GN7JznSvtZ507cU3p/e55vvpccFjm9PbHe9NluLioXSt9dV0be2RdHG8q5Ssrf9uepRw0XYREa0TRcefHkO8YSA9SrlhRaOrX3xp/p8vQTCBRay3pzO2VtblbgMAoOkEE4CEue7pccYKAJpDMAE4Q3dHe5RLbdG/f2BWrVxqiwO7+4QTAJhnggnAGSpd5Tiwu2/OqWj9+wdipDoumADAPBNMAOZQ6SoLHwCwgCywCAAAZOeMCQCw5BSN721ZvSpZq588la4VjP0tqhX1UqRoDOtFV15evO1Qepxw0fG3buhO1mqvS48gPrUu/bvsyVJLsnbNQz9M1o7duDlZWzWaHt/b9UyyFMcvT78XHUPp97509Hh6pwVqV69P1orGAUdErDr6SrJW/uf0GOJTl3Ula6v/V3pecn1iIlmb2nRpsta2Jv25aDlRTdYa4YwJAACQnWACAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANlZxwQAWFamTpxoaLui9UgaXeOkdd2aZK1t1Yb0PseK14doq2xKF0+l+ynS8Xh6gZCLC9a5GN+YXudiqvPiZG3tt19M1qrXpl+bovVBVh2fStbGu0rJ2lR7V7L26sVtyVr7aHptkLOpr0rvNwre/tXP/DhZmzrL5ybZy+F/TtcKtiv8HDbAGRMAACA7wQQAAMjOpVwA52lweGzWY90d7VHpKmfoBgCWB8EE4Bx1d7RHudQW/fsHZtXKpbY4sLtPOAGABgkmAOeo0lWOA7v7YqQ688bSweGx6N8/ECPVccEEABokmACch0pXWfgAgCYQTACARanR8b2NanSfbZekR9tOHUuPLm5ZvSrdy8lThc/Zur4rXSwaGTtRMN62aJ8FLqqm99kynq5NbFyb3ucrk8naVCk9u6k8nH4PX+1I/9hbNIK3SL29YARxx+rCbVurJ5O1lhPp93ByU8Eo5QbHBbesSv9daymlj3Fy6IWGni/FVC4AACA7wQQAAMhOMAEAALITTAAAgOzc/A6ZDY3W5hw/CwCwkggmkNHQaC127j0YtYnZ00fKpbbo7khPyQAAWE4EE8hopDoetYnJ2LdrW/T2dM6odXe0Wy8DWNEaHd+70GOGi0YCFyka0Xq2ccH1Hw03tN+Wzo70Pl8eTW9XMEq49TtDydrEtt5krfTdI+nt3nB5srbqB6PJWpH00NuIOJX+XExt6ErWWsdeSdbaCkYlR0RMvTSSrNULtmv9QXq/ky++lO6nYKx1veD4C2vz/PdJMIFFoLenM7ZW1uVuAwAgGze/AwAA2QkmAABAdoIJAACQnWACAABkJ5gAAADZmcoFAHAWjY4gLtyuYAxr67o1hf0UjYVtOVkwLrjoOYtGCRf00rqhO1lre+I7ydrkjdcla6Wjx9NPWDTWuOAYGtXywo/TxVJ6CPHUWLXx5ywY+dzoeOrCz0zB53QhOWMCAABkJ5gAAADZCSYAAEB27jEBmCeDw2OzHuvuaI9KVzlDNwCwtAgmsECGRmsxUp150+FcP8iy9HR3tEe51Bb9+wdm1cqltjiwu084AYCzEExgAQyN1mLn3oNRm5icVSuX2qK7Y3FMw6Axla5yHNjdN2fw7N8/ECPVccEEAM5CMIEFMFIdj9rEZOzbtS16ezpn1FzqszxUusreR1gkGh3fu9DqJ08la1MnikfCNnochc9ZtGHB6NuiUcIt116drn3n2XStYARx0fPVi0b0ru9Kb/fSSLqXzT3J2tSPhpO1ojHKEcW9Fo0Eblm9qqFa0Xtf9HdmIQkmsIB6ezpja2Vd7jYAABYdU7kAAIDsBBMAACA7wQQAAMhOMAEAALITTAAAgOwEEwAAIDvjggGAc1K0dsZiWQfhbJqxxkmj27WuW5OsTb74UvFzNmG9isL1MValj7GlsyNZi7FXkqXCdVNOpftsdI2P1hMNrsUyPpHupWhdmIK1USKK36dmbFekdU36s3i2NXXmk2AC82xotDbnCuAAAKQJJjCPhkZrsXPvwahNTM6qlUtt0d2xeFYcBgBYTAQTmEcj1fGoTUzGvl3borenc0atu6M9Kl3lTJ0BACxuggk0QW9PZ2ytrMvdBgDAkmEqFwAAkJ1gAgAAZOdSLgDgnCyVkcCNWujjKxoJXDS+NaJ4hGvbJRsaes4ihb0WjPYtGm1bNNp3aiw92rdwu4LXpdFeJodeSO+z4DNTNA46ovExvEXjqRsdQb1Y/m47YwIAAGQnmAAAANkJJgAAQHaCCQAAkJ2b3wGabHB4bNZjFtwEgJkEE4Am6e5oj3KpLfr3D8yqlUttcWB3n3ACAP+bYALQJJWuchzY3Rcj1ZljGAeHx6J//0CMVMcFE2iColG7zRjR2oxRq0Wjbc9m6lj6GItem8JxugXH3+jo4qI+i17Tol6a8T4VjRIuUnR8Z9PoZ7hoJHDRa1Ok0feiEYIJQBNVusrCBwCcAze/AwAA2QkmAABAdoIJAACQnWACAABkJ5gAAADZmcoFACxKjY5+bXQkcJFmjAS+kNG2jW7b6OjXRrcrGl9bpBmjbZuhWaN0l8xY63nepzMmAABAdoIJAACQnWACAABkJ5gAAADZCSYAAEB2ggkAAJCdccEAAE3SumZNstaMscZn04yRwI0+X5FmjeFtRKPv00KPLr6Q51zoMcMpzpgAAADZCSYAAEB2ggkAAJCde0ygQUOjtRipzrzucnB4LFM3AABLm2ACDRgarcXOvQejNjE5q1YutUV3x8LemAcAsNQJJtCAkep41CYmY9+ubdHb0zmj1t3RHpWucqbOAACWJsEELkBvT2dsrazL3QZL1FyX/gm2AKxUggnAAuvuaI9yqS369w/MqpVLbXFgd59wApFnHYj5VrQGxoWsx9GyelVDtaWyJsdCr6vR6LopzVpvZaFf78Xyd00wAVhgla5yHNjdN+fwhP79AzFSHRdMAFhxBBOADCpdZeEDAF7DOiYAAEB2ggkAAJCdYAIAAGQnmAAAANm5+R0AIIMLGdHajPGujY63bUovBSOPl8oo3cUygncpccYEAADITjABAACyE0wAAIDsBBMAACA7wQQAAMhOMAEAALIzLhgAYJE52+jepTIyt1FTJ04s6PM1qnXNmmStfvJU4bZFr2nR+7+cxxALJnAWQ6O1GKnO/EdgcHgsUzcAAMuTYAIFhkZrsXPvwahNTM6qlUtt0d3R2GJUAADMJJhAgZHqeNQmJmPfrm3R29M5o9bd0R6VrnKmzgAAlhfBBM5Bb09nbK2sy90GAMCyZSoXAACQnWACAABk51Iu+N9M3wJgvjU69rVZI2HPNoZ4vve5nEfbRjRvrPFyf91SBBMI07dYXOYKxIYtALDcCSYQpm+xOHR3tEe51Bb9+wdm1cqltjiwu89nEYBlSzCB1zB9i5wqXeU4sLtvzksK+/cPxEh1XDABYNkSTAAWkUpXWfgAYEUylQsAAMhOMAEAALJzKRcAkM1yHzW72I6hqJ9GRwkvpmNs9PO03D+HS4UzJgAAQHaCCQAAkJ1gAgAAZCeYAAAA2QkmAABAdoIJAACQnWACAABkZx0TACAba0QsHsvhvWj0GJbDsS8HzpgAAADZCSYAAEB2LuUCWCIGh8dmPba1si5DJwAw/wQTgEWuu6M9yqW26N8/MKv2/f/r3yx8QwDQBIIJwCJX6SrHgd19MVKdeXPmXGdQAGCpEkwAloBKVzkqXeXcbQBA07j5HQAAyE4wAQAAshNMAACA7AQTAAAgO8EEAADITjABAACyE0wAAIDsrGMCAMCy11JqT9bqE+PJGgvHGRMAACA7wQQAAMhOMAEAALITTAAAgOwEEwAAIDtTuVhRhkZrMVKdPXljcHgsQzcAAJwmmLBiDI3WYufeg1GbmJyzXi61RXdHepQgALB0GQm8+AkmrBgj1fGoTUzGvl3borenc1a9u6M9Kl3lDJ0BACCYsOL09nTG1sq63G0AAPAabn4HAACyE0wAAIDsBBMAACA7wQQAAMjOze8AAERLKT0y36hdFoIzJgAAQHaCCQAAkJ1gAgAAZCeYAAAA2QkmAABAdoIJAACQnWACAABkZx0TAACsVUJ2ggnL0tBoLUaqM/+BHRwey9QNAABnI5iw7AyN1mLn3oNRm5icVSuX2qK7I72yLQAAeQgmLDsj1fGoTUzGvl3borenc0atu6M9Kl3lTJ0BAJAimLBs9fZ0xtbKutxtAABwDkzlAgAAshNMAACA7AQTAAAgO/eYsKQZCwwAsDwIJixZxgIDACwfgglLlrHAAADLh2DCkmcsMADA0ufmdwAAIDtnTFhU5rqZPcKlWQAAy51gwqJxtpvZD+zuE04AAJYpwYRFI3Uz++DwWPTvH4iR6rhgAgCwTAkmLDpuZgcAWHkEE5aMMxdOtJAiAMDyIZiw6HV3tEe51Bb9+wdm1SykCACwPAgmLHqVrnIc2N1nWhcAwDImmLAkVLrKAggAwDJmgUUAACA7wQQAAMhOMAEAALITTAAAgOwEEwAAIDvBBAAAyE4wAQAAshNMAACA7AQTAAAgO8EEAADITjABAACyE0wAAIDsLsrdACvT0GgtRqrjMx4bHB7L1A0AALkJJiy4odFa7Nx7MGoTk7Nq5VJbdHe0Z+gKAICcBBMW3Eh1PGoTk7Fv17bo7emcUevuaI9KVzlTZwAA5CKYkE1vT2dsrazL3QYAAIuAYMK8mOuekRT3kgAAcCbBhAtWdM9IintJAAB4LcGEC1Z0z0iKe0kAAHgtwYR5454RAAAaJZhwXqw/AgBAMwgmK1zqpvW5LrWy/ggAAM0imKxgZwsaB3b3zQgn1h8BAKBZBJMVLBU0BofHon//QIxUx+cMG+4lAQBgvgkmy8z5XJp1WiponHnviHtJAABoFsFkGTnfS7NSujvao1xqi/79A3Pux70kAADMN8FkkTvfFdUbuTTrTJWuchzY3XfeZ14AAKBRgskZzvdSqEYunTrX532pOh7/4b9987xXVH/bVevnfO7zuTSr0lUWQAAAWDCCyWuc7VKoT//bG2PDay5jKgoOc31/ytn287l/d9M57Sdi7kDk0iwAABa7lnq9Xs/dBAAAsLK15m4AAABAMAEAALITTAAAgOwEEwAAIDvBBAAAyO6CxwXX6/U4ceLEfPQCQAPWrFkTLS0tudsAgAtywcHkxRdfjJ6envnoBYAGDA8Px6WXXpq7DQC4IBccTNrbf7I43w9+8INYu3btBTfUbMePH4/LLrtMv02i3+bSb3Mt1X5P/zsMAEvZBQeT05cPrF27dkn8j/w0/TaXfptLv8211Pp1GRcAy4Gb3wEAgOwEEwAAILsLDiarVq2KPXv2xKpVq+ajn6bTb3Ppt7n021z6BYB8Wur1ej13EwAAwMrmUi4AACA7wQQAAMhOMAEAALITTAAAgOwuKJhMTEzEvffeG9dff310dHTEli1b4o477ojnn39+vvpryMMPPxzveMc7YsOGDdHS0hIDAwNn3eazn/1stLS0zPizevXq5jd7Fo0cS7PV6/X46Ec/Gps3b45yuRw7d+6Mp59+unCb3/7t3571+l533XUL1PHcPvnJT8aVV14Zq1evju3bt8c3vvGNrP2cdj59LdbP7de//vW4/fbbY8uWLdHS0hJ/9Vd/lbuliDj/vr72ta/Nen1bWlrihRdeWJiGE+6///5429veFmvWrImenp5497vfHYcPH87aEwBcqAsKJq+88kocOnQo7rvvvjh06FA8/PDDcfjw4XjXu941X/01pFqtxs/8zM/Exz/+8fPabu3atfGjH/1o+s9zzz3XpA7PXaPH0ky/93u/F3/4h38Yn/70p+PJJ5+Mjo6OuO222+LkyZOF273pTW+a8fr+3d/93QJ1PNv+/fvjgx/8YOzZsycOHToUN9xwQ9x2220xPDycradG+1qsn9sbbrghPvnJT+ZuZYZG+zp8+PCM17inp6dJHZ6bgwcPxt133x1PPPFEfOUrX4mJiYl4xzveEdVqNWtfAHBB6vPsG9/4Rj0i6s8999x87/q8Pfvss/WIqH/rW9866/c+9NBD9XXr1jW9p0adz7E009TUVH3Tpk31Bx54YPqx0dHR+qpVq+p//ud/ntxuz5499RtuuGEBOjw3N910U/3uu++e/npycrK+ZcuW+v3335+xq/Pva7F/buv1ej0i6l/84hdztzHLufT12GOP1SOiPjIysiA9NWp4eLgeEfWDBw/mbgUAGjbv95gcO3YsWlpaoqura7533XRjY2NxxRVXxGWXXRa/9Eu/FN/5zndyt7ToPPvss/HCCy/Ezp07px9bt25dbN++PR5//PHCbZ9++unYsmVLXH311fFrv/ZrceTIkWa3O6fx8fH45je/OeMYWltbY+fOnWc9hsXYl89t823bti02b94cP/dzPxd///d/n7udWY4dOxYREevXr8/cCQA0bl6DycmTJ+Pee++N973vfbF27dr53HXTXXvttfGZz3wmHnnkkfj85z8fU1NTccstt8QPf/jD3K0tKqevrd+4ceOMxzdu3Fh43f327dvjs5/9bPzN3/xNfOpTn4pnn302fvZnfzZOnDjR1H7n8uKLL8bk5OR5H0OzNdKXz21zbd68OT796U/HF77whfjCF74Ql112WezYsSMOHTqUu7VpU1NT0d/fHz/90z8dW7duzd0OADTsvILJn/7pn0ZnZ+f0n7/927+drk1MTMR73/veqNfr8alPfWreG22kp/Nx8803xx133BHbtm2Lvr6+ePjhh+PSSy+NBx98cJ47TpuvY2lmTxMTEw3t5xd+4RfiPe95T7z5zW+O2267Lf76r/86RkdH4y//8i/nueOVZTF8bpeza6+9Nj7wgQ/EjTfeGLfcckt85jOfiVtuuSX+4A/+IHdr0+6+++546qmn4i/+4i9ytwIAF+Si8/nmd73rXbF9+/bpryuVSkT8Syh57rnn4tFHH13QsyWpni5UqVSKt7zlLTE4ODgv+zsXzTqWC3FmT6dOnYqIiKNHj8bmzZunHz969Ghs27btnPfb1dUVr3/96xf09T3tkksuiba2tjh69OiMx48ePRqbNm1a8H5Om4++cnxuV5qbbrop6+CG17rnnnviS1/6Unz961+P173udbnbAYALcl5nTNasWRO9vb3Tf8rl8nQoefrpp+PAgQOxYcOGZvV6zj3Nh8nJyfj2t78944fvZmvWscxnT2984xtj06ZN8dWvfnX6e44fPx5PPvlk3Hzzzee837GxsXjmmWcW9PU9rb29PW688cYZxzA1NRVf/epXz+sYFmNfOT63K83AwED217der8c999wTX/ziF+PRRx+Nq666Kms/ADAfzuuMyZkmJibiV37lV+LQoUPxpS99KSYnJ6evhV+/fn20t7fPS5Pn6+WXX44jR45Mr6dyer7/pk2bpn/zfMcdd0SlUon7778/IiJ+53d+J97+9rdHb29vjI6OxgMPPBDPPfdc/Pqv/3qWYzjtXI5lIbW0tER/f3/87u/+bvzUT/1UXHXVVXHffffFli1b4t3vfvf09916663xy7/8y3HPPfdERMSHPvShuP322+OKK66I559/Pvbs2RNtbW3xvve9b8GPISLigx/8YNx5553x1re+NW666abYt29fVKvVuOuuu7L0c659LZXP7djY2IyzNs8++2wMDAzE+vXr4/LLL1+0fX3kIx+JoaGh+JM/+ZOIiNi3b19cddVV8aY3vSlOnjwZf/RHfxSPPvpofPnLX851CBHxk8u3/uzP/iweeeSRWLNmzfS/u+vWrVsUv9AAgIZcyEiv0yNs5/rz2GOPzcvYsEY89NBDc/a0Z8+e6e/p6+ur33nnndNf9/f31y+//PJ6e3t7fePGjfVf/MVfrB86dGjhmz/DuRzLQpuamqrfd9999Y0bN9ZXrVpVv/XWW+uHDx+e8T1XXHHFjB537dpV37x5c729vb1eqVTqu3btqg8ODi5w5zN94hOfmH7Pb7rppvoTTzyRtZ/TivpaKp/b02N2z/zz2t4XY1933nlnva+vb/r7P/7xj9evueaa+urVq+vr16+v79ixo/7oo4/maf41Uv/uPvTQQ7lbA4CGtdTr9Xrz4w8AAEDavK9jAgAAcL4EEwAAIDvBBAAAyE4wAQAAshNMAACA7AQTAAAgO8EEAADITjBh2dixY0f09/dPf33llVfGvn37svUDAMC5uyh3A9As//AP/xAdHR3zvt//8l/+S/z3//7fY2BgINrb22N0dHTenwMAYKVxxoRl69JLL42LL7543vc7Pj4e73nPe+I//sf/OO/7BgBYqQQTlqRqtRp33HFHdHZ2xubNm2Pv3r2zvufMS7laWlriwQcfjHe+851x8cUXxxve8IZ4/PHHY3BwMHbs2BEdHR1xyy23xDPPPFP43P/5P//n+E//6T/F9ddfP9+HBQCwYgkmLEkf/vCH4+DBg/HII4/El7/85fja174Whw4dOut2H/vYx+KOO+6IgYGBuO666+JXf/VX4wMf+EB85CMfiX/8x3+Mer0e99xzzwIcAQAAr+UeE5acsbGx+OM//uP4/Oc/H7feemtERHzuc5+L173udWfd9q677or3vve9ERFx7733xs033xz33Xdf3HbbbRER8Zu/+Ztx1113Na95AADm5IwJS84zzzwT4+PjsX379unH1q9fH9dee+1Zt33zm988/d8bN26MiJhxSdbGjRvj5MmTcfz48XnsGACAsxFMWFFKpdL0f7e0tCQfm5qaWtjGAABWOMGEJeeaa66JUqkUTz755PRjIyMj8U//9E8ZuwIA4EK4x4Qlp7OzM97//vfHhz/84diwYUP09PTEb/3Wb0Vr68Lk7CNHjsTLL78cR44cicnJyRgYGIiIiN7e3ujs7FyQHgAAlhvBhCXpgQceiLGxsbj99ttjzZo1sXv37jh27NiCPPdHP/rR+NznPjf99Vve8paIiHjsscdix44dC9IDAMBy01Kv1+u5mwAAAFY295gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHaCCQAAkJ1gAgAAZCeYAAAA2QkmAABAdoIJAACQnWACAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHaCCQAAkJ1gAgAAZCeYAAAA2QkmAABAdoIJAACQnWACAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHaCCQAAkJ1gAgAAZCeYAAAA2QkmAABAdoIJAACQnWACAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGR3Ue4GAAAgl6HRWoxUx2c93t3RHpWucoaOVi7BBACAFWlotBY79x6M2sTkrFq51BYHdvcJJwtIMAEAYEUaqY5HbWIy9u3aFr09ndOPDw6PRf/+gRipjgsmC0gwAQBgRevt6YytlXW521jxBBMAAJaMue4Jmet+kHP9PhYPwQQAgCUhdU/ImfeDnOv3sbgIJgAALAlz3RMy1/0g5/p9LC6CCQAAS8q53hPi3pGlxQKLAABAdoIJAACQnWACAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHaCCQAAkJ1gAgAAZCeYAAAA2QkmAABAdoIJAACQnWACAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHYX5W4AAADONDRai5Hq+IzHBofHkt//2lrR97F4CSYAACwqQ6O12Ln3YNQmJmfVyqW26O5on/66u6M9yqW26N8/UPh9LH6CCQAAi8pIdTxqE5Oxb9e26O3pnFHr7miPSld5+utKVzkO7O6bdXblzO9j8RNMAABYlHp7OmNrZd1Zv6/SVRZClgE3vwMAANkJJgAAQHaCCQAAkJ17TAAAYA5njh12Q31zCSYAAPAaRSOID+zuE06aRDABAIDXmGsE8eDwWPTvH4iR6rhg0iSCCQAAnMEI4oUnmAAAsGK89r6RM+8hIS/BBACAZa/ovpHujvY8TTGDYAIAwLI3130jESZtLSaCCQAAK4L7RhY3CywCAADZCSYAAEB2LuUCACCrodHarDVDWHkEEwAAshkarcXOvQejNjE543HTslYewQQAgGxGquNRm5iMfbu2RW9P5/TjpmWtPIIJAADZ9fZ0xtbKutxtkJGb3wEAgOwEEwAAIDvBBAAAyE4wAQAAshNMAACA7AQTAAAgO8EEAADIzjomAADQoKHRWoxUx2c8ZnHIxggmAADQgKHRWuzcezBqE5MzHi+X2uLA7j7h5DwJJgAA0ICR6njUJiZj365t0dvTGRERg8Nj0b9/IEaq44LJeRJMAABYMGde+jQ4PJaxm/nR29MZWyvrcrex5AkmAAAsiKJLn7o72jN1xWIhmAAAsCDmuvQpYmndLP7aMzzL4WzPYiKYAACwoJbipU/dHe1RLrVF//6BGY872zN/BBMAADiLSlc5DuzuMxq4iQQTAAA4B5WushDSRFZ+BwAAshNMAACA7AQTAAAgO8EEAADITjABAACyE0wAAIDsBBMAACA7wQQAAMhOMAEAALITTAAAgOwEEwAAIDvBBAAAyE4wAQAAshNMAACA7AQTAAAgO8EEAADITjABAACyE0wAAIDsBBMAACA7wQQAAMhOMAEAALITTAAAgOwuyt0AAAAsN4PDY7Me6+5oj0pXOUM3S4NgAgAA86S7oz3Kpbbo3z8wq1YutcWB3X3CSYJgAgAA86TSVY4Du/tipDo+4/HB4bHo3z8QI9VxwSRBMAEAgHlU6SoLHw1w8zsAAJCdYAIAAGQnmAAAANkJJgAAQHaCCQAAkJ1gAgAAZGdcMAAATTE0Wpuxnsdcq6HDaYIJAADzbmi0Fjv3HozaxOSMx8ultujuaM/UFYuZYAIAwLwbqY5HbWIy9u3aFr09ndOPd3e0W3yQOQkmAAA0TW9PZ2ytrMvdBkuAm98BAIDsBBMAACA7wQQAAMhOMAEAALITTAAAgOwEEwAAIDvBBAAAyE4wAQAAshNMAACA7AQTAAAgO8EEAADITjABAACyE0wAAIDsBBMAACA7wQQAAMhOMAEAALITTAAAgOwEEwAAIDvBBAAAyE4wAQAAshNMAACA7C7K3QAAAEvb0GgtRqrjMx4bHB7L1A1LlWACAEDDhkZrsXPvwahNTM6qlUtt0d3RnqErliLBBACAho1Ux6M2MRn7dm2L3p7OGbXujvaodJUzdcZSI5gAAHDBens6Y2tlXe42WMLc/A4AAGQnmAAAANkJJgAAQHaCCQAAkJ1gAgAAZCeYAAAA2QkmAABAdoIJAACQnQUWAQA4Z0OjtRipjk9/PTg8lrGbpefM16u7oz0qXeVM3SwuggkAAOdkaLQWO/cejNrE5IzHy6W26O5oz9TV0tDd0R7lUlv07x+Y8Xi51BYHdvcJJyGYAABwjkaq41GbmIx9u7ZFb0/n9ON+6392la5yHNjdN+tsU//+gRipjnv9QjABAOA89fZ0xtbKutxtLDmVrrIAUsDN7wAAQHaCCQAAkJ1gAgAAZCeYAAAA2QkmAABAdqZyAQBARhZd/AnBBAAAMrDo4kyCCQAAZGDRxZkEEwAAyMSii//Cze8AAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHaCCQAAkJ1gAgAAZCeYAAAA2QkmAABAdoIJAACQnWACAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHaCCQAAkJ1gAgAAZCeYAAAA2V2UuwEAABanodFajFTHp78eHB7L2A3LnWACAMAsQ6O12Ln3YNQmJmc8Xi61RXdHe6auWM4EEwAAZhmpjkdtYjL27doWvT2d0493d7RHpaucsTOWK8EEAICk3p7O2FpZl7sNVgA3vwMAANkJJgAAQHaCCQAAkJ17TAAAYJE5czTzShg6IJgAAMAi0d3RHuVSW/TvH5jxeLnUFgd29y3rcCKYAADAIlHpKseB3X2zFrbs3z8QI9VxwQQAAFgYla7ysg4gKW5+BwAAshNMAACA7FzKBQBADI3WZt3XAAtJMAEAWOGGRmuxc+/BqE1Mzni8XGqL7o72TF2x0ggmAAAr3Eh1PGoTk7Fv17bo7emcfnwlrJ3B4iGYAAAQERG9PZ2xtbIudxusUG5+BwAAshNMAACA7AQTAAAgO8EEAADITjABAACyE0wAAIDsBBMAACA7wQQAAMhOMAEAALITTAAAgOwEEwAAIDvBBAAAyE4wAQAAshNMAACA7AQTAAAgO8EEAADITjABAACyE0wAAIDsBBMAACC7i3I3AAAAnN3g8Nisx7o72qPSVc7QzfwTTAAAYBHr7miPcqkt+vcPzKqVS21xYHffsggnggkAACxila5yHNjdFyPV8RmPDw6PRf/+gRipjgsmAABA81W6yssifBRx8zsAAJCdYAIAAGQnmAAAANm5xwQAAJawM8cIL9URwoIJAAAsQakxwkt1hLBgAgAAS9BcY4SX8ghhwQQAAJao5TRG2M3vAABAdoIJAACQnWACAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHaCCQAAkJ1gAgAAZCeYAAAA2V2UuwEAABbO0GgtRqrjMx4bHB7L1A38C8EEAGCFGBqtxc69B6M2MTmrVi61RXdHe4au4CcEEwCAFWKkOh61icnYt2tb9PZ0zqh1d7RHpaucqTMQTAAAVpzens7YWlmXuw2Ywc3vAABAdoIJAACQnWACAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHZWfgcAgGVmcHhsxtfdHe1R6Spn6ubcCCYAALBMdHe0R7nUFv37B2Y8Xi61xYHdfYs6nAgmAACwTFS6ynFgd1+MVMenHxscHov+/QMxUh0XTAAAgIVR6Sov6gCS4uZ3AAAgO8EEAADITjABAACyE0wAAIDsBBMAACA7wQQAAMhOMAEAALITTAAAgOwssAgAsEwNjdZmrQAOi5VgAgCwDA2N1mLn3oNRm5ic8Xi51BbdHe2ZuoI0wQQAYBkaqY5HbWIy9u3aFr09ndOPd3e0R6WrnLEzmJtgAgCwjPX2dMbWyrrcbcBZufkdAADIzhkTAABYAc4cfrDYLusTTAAAYBnr7miPcqkt+vcPzHi8XGqLA7v7Fk04EUwAAGAZq3SV48Duvlmjo/v3D8RIdVwwAQBg/lizhCKVrvKiCSApggkAwBJnzRKWA8EEAGCJs2YJy4FgAgCwTFizhKXMOiYAAEB2ggkAAJCdYAIAAGQnmAAAANm5+R0AYImxZgnLkWACALCEWLOE5UowAQBYQqxZwnIlmAAALEHWLGG5cfM7AACQnWACAABkJ5gAAADZCSYAAEB2ggkAAJCdqVwAALBCzbU4Z67R04IJAACsMN0d7VEutUX//oFZtXKpLQ7s7lvwcCKYAAAsUkOjtRipjs94bK7fcMP5qnSV48Duvjk/X/37B2KkOi6YAADwk1Cyc+/BqE1MzqqVS23R3dGeoSuWk0pXOcslWymCCQDAIjRSHY/axGTs27Utens6Z9Ry3QMAzSSYAAAsYr09nbG1si53G9B0xgUDAADZOWMCAADMcOaQhYW4fFAwAQAAIiI9RnghRggLJgAAQETMPUZ4oUYICyYAAMC0XGOE3fwOAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHbWMQEAWASGRmuzFrWDlUQwAQDIbGi0Fjv3HozaxOSMx8ultujuaM/UFSwswQQAILOR6njUJiZj365t0dvTOf14d0d7lhW4IQfBBABgkejt6YytlXW524As3PwOAABkJ5gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHbWMQEAAM5qcHhsxtfzvQCoYAIAACR1d7RHudQW/fsHZjxeLrXFgd198xZOBBMAACCp0lWOA7v7YqQ6Pv3Y4PBY9O8fiJHquGACAAAsjEpXeV4v25qLm98BAIDsnDEBAAAaMp83xAsmAADAeSm6If67H/v5hvYpmAAALLCh0dqsG4lhKSm6Ib5RggkAQBOdGUJeqo7Hf/hv34zaxOSM7yuX2qK7o32h24OGzfcN8YIJAECTDI3WYufeg3OGkM/9u5tiw2uCyHwvVgdLjWACANAkI9XxqE1Mxr5d26K3p3P6cSEEZhNMAACarLenM7ZW1uVuAxY165gAAADZCSYAAEB2ggkAAJCdYAIAAGQnmAAAANkJJgAAQHbGBQMAzIMzV3iPiBgcHsvUDSw9ggkAwAVKrfAe8ZNV3rtfs8I7MDfBBADgAqVWeI+wyjucK8EEAGCeWOEdGufmdwAAIDvBBAAAyE4wAQAAsnOPCQDAeTpzNLCxwHDhBBMAgPOQGg1sLDBcGMEEAOA8pEYDGwsMF0YwAQAokLpsy2hgmF+CCQCwrJ0ZLE47lzMcLtuChSOYAADLVipYRPwkXBzY3TcjnMx1dsRlW7AwBBMAYNk412AxODwW/fsHYqQ6Ph0wis6OvO2q9YIINJlgAgAsCxcaLNzUDnkJJgDAsjBfwcJN7ZCHYAIAZJG6Kb1RjUzLeu3CiBZJhLwEEwCgIc2YdnWhznVaVndHe5RLbdG/f6Ch7YH5J5gAAOftbNOuPv1vb4wNBT/gp25Kv1DnetlWpascB3b3zQpW7ieBfFrq9Xo9dxMAAMDK1pq7AQAAAMEEAADITjABAACyE0wAAIDsBBMAACA744IBWHbq9XqcOHEidxsAK9aaNWuipaXlvLYRTABYdl588cXo6enJ3QbAijU8PByXXnrpeW0jmACw7LS3/2Rhvx/84Aexdu3azN2c3fHjx+Oyyy7Tb5Pot7n021xLtd/T/w6fD8EEgGXn9OUDa9euXRL/Iz9Nv82l3+bSb3MttX7P9zKuCDe/AwAAi4BgAgAAZCeYALDsrFq1Kvbs2ROrVq3K3co50W9z6be59NtcK6nflnq9Xm9CTwAAAOfMGRMAACA7wQQAAMhOMAEAALITTAAAgOwEEwCWjYmJibj33nvj+uuvj46OjtiyZUvccccd8fzzz+duLR5++OF4xzveERs2bIiWlpYYGBg46zaf/exno6WlZcaf1atXN7/ZAo0cx0Ko1+vx0Y9+NDZv3hzlcjl27twZTz/9dOE2v/3bvz3r9b3uuusWqOO5ffKTn4wrr7wyVq9eHdu3b49vfOMbWfs57Xz6Woyf24iIr3/963H77bfHli1boqWlJf7qr/4qd0vn3dPXvva1Wa9tS0tLvPDCCwvTcML9998fb3vb22LNmjXR09MT7373u+Pw4cPnvR/BBIBl45VXXolDhw7FfffdF4cOHYqHH344Dh8+HO9617tytxbVajV+5md+Jj7+8Y+f13Zr166NH/3oR9N/nnvuuSZ1eG4aPY5m+73f+734wz/8w/j0pz8dTz75ZHR0dMRtt90WJ0+eLNzuTW9604zX9+/+7u8WqOPZ9u/fHx/84Adjz549cejQobjhhhvitttui+Hh4Ww9NdrXYvvcRvzks3vDDTfEJz/5ydytTGu0p8OHD894fXt6eprU4bk5ePBg3H333fHEE0/EV77ylZiYmIh3vOMdUa1Wz29HdQBYxr7xjW/UI6L+3HPP5W6lXq/X688++2w9Iurf+ta3zvq9Dz30UH3dunVN76kR53MczTY1NVXftGlT/YEHHph+bHR0tL5q1ar6n//5nye327NnT/2GG25YgA7PzU033VS/++67p7+enJysb9mypX7//fdn7Or8+1rMn9vTIqL+xS9+MXcbM5xLT4899lg9IuojIyML0lOjhoeH6xFRP3jw4Hlt54wJAMvasWPHoqWlJbq6unK30pCxsbG44oor4rLLLotf+qVfiu985zu5W1p0nn322XjhhRdi586d04+tW7cutm/fHo8//njhtk8//XRs2bIlrr766vi1X/u1OHLkSLPbndP4+Hh885vfnHEMra2tsXPnzrMew2Lsy+e2ubZt2xabN2+On/u5n4u///u/z93OLMeOHYuIiPXr15/XdoIJAMvWyZMn49577433ve99sXbt2tztnLdrr702PvOZz8QjjzwSn//852NqaipuueWW+OEPf5i7tUXl9PX1GzdunPH4xo0bC6+93759e3z2s5+Nv/mbv4lPfepT8eyzz8bP/uzPxokTJ5ra71xefPHFmJycPO9jaLZG+vK5bZ7NmzfHpz/96fjCF74QX/jCF+Kyyy6LHTt2xKFDh3K3Nm1qair6+/vjp3/6p2Pr1q3nta1gAsCS9ad/+qfR2dk5/edv//Zvp2sTExPx3ve+N+r1enzqU59aNH2dj5tvvjnuuOOO2LZtW/T19cXDDz8cl156aTz44IPz3PHc5us45tuZfU1MTDS0n1/4hV+I97znPfHmN785brvttvjrv/7rGB0djb/8y7+c545Xltyf2+Xs2muvjQ984ANx4403xi233BKf+cxn4pZbbok/+IM/yN3atLvvvjueeuqp+Iu/+Ivz3vaiJvQDAAviXe96V2zfvn3660qlEhH/Ekqee+65ePTRRxf8bEmqrwtVKpXiLW95SwwODs7L/s6mWcdxoc7s69SpUxERcfTo0di8efP040ePHo1t27ad8367urri9a9//YK9vq91ySWXRFtbWxw9enTG40ePHo1NmzYteD+nzUdfC/25XWluuummrEMbXuuee+6JL33pS/H1r389Xve615339s6YALBkrVmzJnp7e6f/lMvl6VDy9NNPx4EDB2LDhg2Loq/5MDk5Gd/+9rdn/PDdTM06jgt1Zl9vfOMbY9OmTfHVr351+nuOHz8eTz75ZNx8883nvN+xsbF45plnFuz1fa329va48cYbZxzD1NRUfPWrXz2vY1iMfS3053alGRgYyP7a1uv1uOeee+KLX/xiPProo3HVVVc1tB9nTABYNiYmJuJXfuVX4tChQ/GlL30pJicnp6+DX79+fbS3t2fr7eWXX44jR45Mr6lyesb/pk2bpn/zfMcdd0SlUon7778/IiJ+53d+J97+9rdHb29vjI6OxgMPPBDPPfdc/Pqv/3qeg4hzO46F1tLSEv39/fG7v/u78VM/9VNx1VVXxX333RdbtmyJd7/73dPfd+utt8Yv//Ivxz333BMRER/60Ifi9ttvjyuuuCKef/752LNnT7S1tcX73ve+LMfxwQ9+MO68885461vfGjfddFPs27cvqtVq3HXXXVn6Ode+lsLnNuInwfO1Z22effbZGBgYiPXr18fll1++KHv6yEc+EkNDQ/Enf/InERGxb9++uOqqq+JNb3pTnDx5Mv7oj/4oHn300fjyl7+cpf/T7r777vizP/uzeOSRR2LNmjXT/+6uW7fu/H6h0ZQZYQCQwekRtnP9eeyxx7L29tBDD83Z1549e6a/p6+vr37nnXdOf93f31+//PLL6+3t7fWNGzfWf/EXf7F+6NChhW/+Nc7lOHKYmpqq33ffffWNGzfWV61aVb/11lvrhw8fnvE9V1xxxYw+d+3aVd+8eXO9vb29XqlU6rt27aoPDg4ucOczfeITn5h+z2+66ab6E088kbWf04r6Wgqf23r9X0btnvnntb0vtp7uvPPOel9f3/T3f/zjH69fc8019dWrV9fXr19f37FjR/3RRx/N0/xrpP7dfeihh85rPy3/e2cAAADZuMcEAADITjABAACyE0wAAIDsBBMAACA7wQQAAMhOMAEAALITTAAAgOwEEwCAJtmxY0f09/dPf33llVfGvn37svUDi5lgAgCwQP7hH/4h/v2///fzus/vf//78f73vz+uuuqqKJfLcc0118SePXtifHx8Xp8Hmu2i3A0AAKwUl1566bzv83vf+15MTU3Fgw8+GL29vfHUU0/Fb/zGb0S1Wo3f//3fn/fng2ZxxgQAYB5Uq9W44447orOzMzZv3hx79+6d9T1nXsrV0tISDz74YLzzne+Miy++ON7whjfE448/HoODg7Fjx47o6OiIW265JZ555pnk8/78z/98PPTQQ/GOd7wjrr766njXu94VH/rQh+Lhhx9uxmFC0wgmAADz4MMf/nAcPHgwHnnkkfjyl78cX/va1+LQoUNn3e5jH/tY3HHHHTEwMBDXXXdd/Oqv/mp84AMfiI985CPxj//4j1Gv1+Oee+45r16OHTsW69evb/RQIAuXcgEAXKCxsbH44z/+4/j85z8ft956a0REfO5zn4vXve51Z932rrvuive+970REXHvvffGzTffHPfdd1/cdtttERHxm7/5m3HXXXedcy+Dg4PxiU98wmVcLDnOmAAAXKBnnnkmxsfHY/v27dOPrV+/Pq699tqzbvvmN795+r83btwYERHXX3/9jMdOnjwZx48fP+u+hoaG4ud//ufjPe95T/zGb/zG+RwCZCeYAABkVCqVpv+7paUl+djU1FThfp5//vn41//6X8ctt9wS//W//tcmdArNJZgAAFyga665JkqlUjz55JPTj42MjMQ//dM/LcjzDw0NxY4dO+LGG2+Mhx56KFpb/YjH0uMeEwCAC9TZ2Rnvf//748Mf/nBs2LAhenp64rd+67cWJCCcDiVXXHFF/P7v/378+Mc/nq5t2rSp6c8P80UwAQCYBw888ECMjY3F7bffHmvWrIndu3fHsWPHmv68X/nKV2JwcDAGBwdn3Wxfr9eb/vwwX1rqPrEAAEBmLkAEAACyE0wAAIDsBBMAACA7wQQAAMhOMAEAALITTAAAgOwEEwAAIDvBBAAAyE4wAQAAshNMAACA7AQTAAAgO8EEAADI7v8HKmSYGNc3+sgAAAAASUVORK5CYII=",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -356,9 +356,9 @@
"source": [
"## Further options for tuning the algorithm\n",
"\n",
- "- the whole procedure can be repeated many times (see the loop shown in \"Main syntax\" in this tutorial) \n",
- "- the classifier is trained to be relatively conservative, i.e. it will try to be very sure that a specific parameter set can indeed not produce `valid` simulation outputs. If you are ok with the restricted prior potentially ignoring a small fraction of parameter sets that might have produced `valid` data, you can use `restriction_estimator.restrict_prior(allowed_false_negatives=...)`. The argument `allowed_false_negatives` sets the fraction of potentially ignored parameter sets. A higher value will lead to more `valid` simulations. \n",
- "- By default, the algorithm considers simulations that have at least one `NaN` of `inf` as `invalid`. You can specify custom criterions with `RestrictionEstimator(decision_criterion=...)`"
+ "- the whole procedure can be repeated many times (see the loop shown in \"Main syntax\" in this tutorial)\n",
+ "- the classifier is trained to be relatively conservative, i.e. it will try to be very sure that a specific parameter set can indeed not produce `valid` simulation outputs. If you are ok with the restricted prior potentially ignoring a small fraction of parameter sets that might have produced `valid` data, you can use `restriction_estimator.restrict_prior(allowed_false_negatives=...)`. The argument `allowed_false_negatives` sets the fraction of potentially ignored parameter sets. A higher value will lead to more `valid` simulations.\n",
+ "- By default, the algorithm considers simulations that have at least one `NaN` of `inf` as `invalid`. You can specify custom criterions with `RestrictionEstimator(decision_criterion=...)`\n"
]
}
],
@@ -378,7 +378,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.5"
+ "version": "3.8.18"
}
},
"nbformat": 4,
diff --git a/tutorials/09_sensitivity_analysis.ipynb b/tutorials/09_sensitivity_analysis.ipynb
index 50e220f7d..5065f306f 100644
--- a/tutorials/09_sensitivity_analysis.ipynb
+++ b/tutorials/09_sensitivity_analysis.ipynb
@@ -6,34 +6,34 @@
"source": [
"# Active subspaces for sensitivity analysis\n",
"\n",
- "A standard method to analyse dynamical systems such as models of neural dynamics is to use a sensitivity analysis. We can use the posterior obtained with `sbi`, to perform such analyses."
+ "A standard method to analyse dynamical systems such as models of neural dynamics is to use a sensitivity analysis. We can use the posterior obtained with `sbi`, to perform such analyses.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Main syntax"
+ "## Main syntax\n"
]
},
{
- "cell_type": "code",
- "execution_count": null,
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [],
"source": [
+ "```python\n",
"from sbi.analysis import ActiveSubspace\n",
"\n",
"sensitivity = ActiveSubspace(posterior.set_default_x(x_o))\n",
"e_vals, e_vecs = sensitivity.find_directions(posterior_log_prob_as_property=True)\n",
- "projected_data = sensitivity.project(theta_project, num_dimensions=1)"
+ "projected_data = sensitivity.project(theta_project, num_dimensions=1)\n",
+ "```\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Example and further explanation"
+ "## Example and further explanation\n"
]
},
{
@@ -56,7 +56,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Let's define a simple Gaussian toy example:"
+ "Let's define a simple Gaussian toy example:\n"
]
},
{
@@ -67,7 +67,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "c208f1abe76b47a29526122f41116bfb",
+ "model_id": "c815cf889b7c495290e22a63f8aeb81a",
"version_major": 2,
"version_minor": 0
},
@@ -82,7 +82,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 117 epochs."
+ " Neural network successfully converged after 86 epochs."
]
}
],
@@ -109,7 +109,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "03c28be227a245129c8366307aff09b4",
+ "model_id": "445a124d231b43e8a8d127657cb06ee5",
"version_major": 2,
"version_minor": 0
},
@@ -132,14 +132,12 @@
"outputs": [
{
"data": {
- "image/png": "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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -151,7 +149,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "When performing a sensitivity analysis on this model, we would expect that there is one direction that is less sensitive (from bottom left to top right, along the vector [1, 1]) and one direction that is more sensitive (from top left to bottom right, along [1, -1]). We can recover these directions with the `ActiveSubspace` module in `sbi`."
+ "When performing a sensitivity analysis on this model, we would expect that there is one direction that is less sensitive (from bottom left to top right, along the vector [1, 1]) and one direction that is more sensitive (from top left to bottom right, along [1, -1]). We can recover these directions with the `ActiveSubspace` module in `sbi`.\n"
]
},
{
@@ -162,7 +160,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "72af7fbea54d4facb49911908cf463f7",
+ "model_id": "f0fb744c47de43deb15d33f9f920dfa5",
"version_major": 2,
"version_minor": 0
},
@@ -185,12 +183,12 @@
"source": [
"The method `.find_active()` returns eigenvalues and the corresponding eigenvectors. It does so by computing the matrix:\n",
"\n",
- "$M = \\mathbb{E}_{p(\\theta|x_o)}[\\nabla_{\\theta}p(\\theta|x_o)^T \\nabla_{\\theta}p(\\theta|x_o)$] \n",
+ "$M = \\mathbb{E}_{p(\\theta|x_o)}[\\nabla_{\\theta}p(\\theta|x_o)^T \\nabla_{\\theta}p(\\theta|x_o)$]\n",
"\n",
"It then does an eigendecomposition:\n",
- "$M = Q \\Lambda Q^{-1}$ \n",
+ "$M = Q \\Lambda Q^{-1}$\n",
"\n",
- "A strong eigenvalue indicates that the gradient of the posterior density is large, i.e. the system output is sensitive to changes along the direction of the corresponding eigenvector (or `active`). The eigenvalue corresponding to the vector `[0.68, -0.73]` is much larger than the eigenvalue of `[0.73, 0.67]`. This matches the intuition we developed above."
+ "A strong eigenvalue indicates that the gradient of the posterior density is large, i.e. the system output is sensitive to changes along the direction of the corresponding eigenvector (or `active`). The eigenvalue corresponding to the vector `[0.68, -0.73]` is much larger than the eigenvalue of `[0.73, 0.67]`. This matches the intuition we developed above.\n"
]
},
{
@@ -203,11 +201,11 @@
"output_type": "stream",
"text": [
"Eigenvalues: \n",
- " tensor([2.3552e-06, 7.0754e-05]) \n",
+ " tensor([2.5892e-06, 9.2593e-05]) \n",
"\n",
"Eigenvectors: \n",
- " tensor([[-0.7066, -0.7076],\n",
- " [-0.7076, 0.7066]])\n"
+ " tensor([[-0.7012, -0.7130],\n",
+ " [-0.7130, 0.7012]])\n"
]
}
],
@@ -220,7 +218,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Lastly, we can project the data into the active dimensions. In this case, we will just use one active dimension:"
+ "Lastly, we can project the data into the active dimensions. In this case, we will just use one active dimension:\n"
]
},
{
@@ -240,7 +238,7 @@
"\n",
"- The gradients and thus the eigenvectors are computed in z-scored space. The mean and standard deviation are computed w.r.t. the prior distribution. Thus, the gradients (and thus the eigenvales) reflect changes on the scale of the prior.\n",
"- The expected value used to compute the matrix $M$ is estimated using `1000` posterior samples. This value can be set with the `.find_active(num_monte_carlo_samples=...)` variable.\n",
- "- How does this relate to Principal Component Analysis (PCA)? In the example above, the results of PCA would be very similar. However, there are two main differences to PCA: First, PCA ignores local changes in the posterior, whereas the active subspace can change a lot (since it computes the gradient, which is a local quantity). Second, active subspaces can be used characterize the sensitivity of any other quantity w.r.t. circuit parameters. This is outlined below:"
+ "- How does this relate to Principal Component Analysis (PCA)? In the example above, the results of PCA would be very similar. However, there are two main differences to PCA: First, PCA ignores local changes in the posterior, whereas the active subspace can change a lot (since it computes the gradient, which is a local quantity). Second, active subspaces can be used characterize the sensitivity of any other quantity w.r.t. circuit parameters. This is outlined below:\n"
]
},
{
@@ -251,7 +249,7 @@
"\n",
"Above, we have shown how to identify directions along which the posterior probability changes rapidly. Notably, the posterior probability reflects how consistent a specific parameter set is with **all** summary statistics, i.e. the entire $x_o$. Sometimes, we might be interested in investigating how a specific features is influenced by the parameters. This feature could be one of the values of $x_o$, but it could also be a different property.\n",
"\n",
- "As a neuroscience example, in Deistler et al. 2021, we obtained the posterior distribution given burst durations and delays between bursts. After having obtained the posterior, we then wanted to analyse the sensitivity of metabolic cost w.r.t. circuit parameters. The framework we presented above can easily be extended to study such questions."
+ "As a neuroscience example, in Deistler et al. 2021, we obtained the posterior distribution given burst durations and delays between bursts. After having obtained the posterior, we then wanted to analyse the sensitivity of metabolic cost w.r.t. circuit parameters. The framework we presented above can easily be extended to study such questions.\n"
]
},
{
@@ -262,7 +260,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "d02a088dbde245049d060f27e51a4b65",
+ "model_id": "0f0fc207483b49bfbe620822714eb1e1",
"version_major": 2,
"version_minor": 0
},
@@ -277,7 +275,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 139 epochs."
+ " Neural network successfully converged after 74 epochs."
]
}
],
@@ -302,7 +300,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "18a9275d763e4f07907a0ed7e93591c4",
+ "model_id": "104a2cbff98949479eb8adc13bb67184",
"version_major": 2,
"version_minor": 0
},
@@ -315,14 +313,12 @@
},
{
"data": {
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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -343,7 +339,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "This time, we begin by drawing samples from the posterior and then computing the desired property for each of the samples (i.e. you will probably have to run simulations for each theta and extract the property from the simulation output). As an example, we assume that the property is just the cube of the first dimension of the simulation output:"
+ "This time, we begin by drawing samples from the posterior and then computing the desired property for each of the samples (i.e. you will probably have to run simulations for each theta and extract the property from the simulation output). As an example, we assume that the property is just the cube of the first dimension of the simulation output:\n"
]
},
{
@@ -354,7 +350,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "56a429406ff641d685f63dbce716fbe1",
+ "model_id": "03e9369d5618487f9c340f469a024c1b",
"version_major": 2,
"version_minor": 0
},
@@ -368,7 +364,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "d1b06137f0dd419693a31f4117134f96",
+ "model_id": "62fe843b3c9b48188f7f2165412f01f0",
"version_major": 2,
"version_minor": 0
},
@@ -391,9 +387,9 @@
"source": [
"To investigate the sensitivity of a given parameter, we train a neural network to predict the `property_` from the parameters and then analyse the neural network as above:\n",
"\n",
- "$M = \\mathbb{E}_{p(\\theta|x_o)}[\\nabla_{\\theta}f(\\theta)^T \\nabla_{\\theta}f(\\theta)$] \n",
+ "$M = \\mathbb{E}_{p(\\theta|x_o)}[\\nabla_{\\theta}f(\\theta)^T \\nabla_{\\theta}f(\\theta)$]\n",
"\n",
- "where $f(\\cdot)$ is the trained neural network."
+ "where $f(\\cdot)$ is the trained neural network.\n"
]
},
{
@@ -405,13 +401,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Training neural network. Epochs trained: 24"
+ " Training neural network. Epochs trained: 67"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "dee98f26b7c24c479efd0fdc888c9812",
+ "model_id": "140ae987eda44c5c9d17c06192bb4214",
"version_major": 2,
"version_minor": 0
},
@@ -438,11 +434,11 @@
"output_type": "stream",
"text": [
"Eigenvalues: \n",
- " tensor([2.8801e-06, 6.1131e-05]) \n",
+ " tensor([4.6135e-07, 3.3536e-05]) \n",
"\n",
"Eigenvectors: \n",
- " tensor([[ 0.0362, 0.9993],\n",
- " [ 0.9993, -0.0362]])\n"
+ " tensor([[ 0.0457, 0.9990],\n",
+ " [ 0.9990, -0.0457]])\n"
]
}
],
@@ -455,7 +451,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "As we can see, one of the eigenvalues is much smaller than the other one. The larger eigenvalue represents (approximately) the vector `[1.0, 0.0]`. This makes sense, because only the `property_` is influenced only by the first output which, in turn, is influenced only by the first parameter."
+ "As we can see, one of the eigenvalues is much smaller than the other one. The larger eigenvalue represents (approximately) the vector `[1.0, 0.0]`. This makes sense, because only the `property_` is influenced only by the first output which, in turn, is influenced only by the first parameter.\n"
]
}
],
@@ -475,7 +471,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.5"
+ "version": "3.8.18"
}
},
"nbformat": 4,
diff --git a/tutorials/10_crafting_summary_statistics.ipynb b/tutorials/10_crafting_summary_statistics.ipynb
index 1d569d06e..9f5e8a31c 100644
--- a/tutorials/10_crafting_summary_statistics.ipynb
+++ b/tutorials/10_crafting_summary_statistics.ipynb
@@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "# Crafting summary statistics"
+ "# Crafting summary statistics\n"
]
},
{
@@ -46,14 +46,14 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "This notebook is not intended to provide a one-fits-all approach. In fact it argues against this: it argues for the user to carefully construct their summary statistics to (i) further help the user understand his observed data, (ii) help them understand exactly what they want the model to recover from the observation and (iii) help the inference framework itself."
+ "This notebook is not intended to provide a one-fits-all approach. In fact it argues against this: it argues for the user to carefully construct their summary statistics to (i) further help the user understand his observed data, (ii) help them understand exactly what they want the model to recover from the observation and (iii) help the inference framework itself.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "# Example 1: The quadratic function"
+ "# Example 1: The quadratic function\n"
]
},
{
@@ -64,21 +64,21 @@
"\n",
"$x(t) = a\\cdot t^2 + b\\cdot t + c + \\epsilon$,\n",
"\n",
- "where $\\epsilon$ is Gaussian observation noise and $\\theta = \\{a, b, c\\}$ are the parameters. Given an observed quadratic function $x_o$, we would like to recover the posterior over parameters $a_o$, $b_o$ and $c_o$."
+ "where $\\epsilon$ is Gaussian observation noise and $\\theta = \\{a, b, c\\}$ are the parameters. Given an observed quadratic function $x_o$, we would like to recover the posterior over parameters $a_o$, $b_o$ and $c_o$.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## 1.1 Prior over parameters "
+ "## 1.1 Prior over parameters\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "First we define a prior distribution over parameters $a$, $b$ and $c$. Here, we use a uniform prior for $a$, $b$ and $c$ to go from $-1$ to $1$."
+ "First we define a prior distribution over parameters $a$, $b$ and $c$. Here, we use a uniform prior for $a$, $b$ and $c$ to go from $-1$ to $1$.\n"
]
},
{
@@ -98,14 +98,14 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "## 1.2 Simulator"
+ "## 1.2 Simulator\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Defining some helper functions first:"
+ "Defining some helper functions first:\n"
]
},
{
@@ -119,10 +119,7 @@
" if theta.ndim == 1:\n",
" theta = theta[np.newaxis, :]\n",
"\n",
- " if seed is not None:\n",
- " rng = np.random.RandomState(seed)\n",
- " else:\n",
- " rng = np.random.RandomState()\n",
+ " rng = np.random.RandomState(seed) if seed is not None else np.random.RandomState()\n",
"\n",
" t = np.linspace(-1, 1, 200)\n",
" ts = np.repeat(t[:, np.newaxis], theta.shape[0], axis=1)\n",
@@ -141,10 +138,7 @@
" if theta.ndim == 1:\n",
" theta = theta[np.newaxis, :]\n",
"\n",
- " if seed is not None:\n",
- " rng = np.random.RandomState(seed)\n",
- " else:\n",
- " rng = np.random.RandomState()\n",
+ " rng = np.random.RandomState(seed) if seed is not None else np.random.RandomState()\n",
"\n",
" return theta[:, 0] * t**2 + theta[:, 1] * t + theta[:, 2] + 0.01 * rng.randn(1)"
]
@@ -153,7 +147,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "In this example, we generate the observation $x_o$ from parameters $\\theta_o=(a_o, b_o, c_o)=(0.3, -0.2, -0.1)$. The observation as follows."
+ "In this example, we generate the observation $x_o$ from parameters $\\theta_o=(a_o, b_o, c_o)=(0.3, -0.2, -0.1)$. The observation as follows.\n"
]
},
{
@@ -164,7 +158,7 @@
{
"data": {
"text/plain": [
- "[]"
+ "[]"
]
},
"execution_count": 5,
@@ -173,14 +167,12 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -194,7 +186,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "## 1.3 Summary statistics"
+ "## 1.3 Summary statistics\n"
]
},
{
@@ -205,7 +197,7 @@
" \n",
"$\\textbf{get_3_values()}$ returns 3 function evaluations at $x=-0.5, x=0$ and $x=0.75$.\n",
" \n",
- "$\\textbf{get_MSE()}$ returns the mean squared error between true and a quadratic function corresponding to a prior distributions sample."
+ "$\\textbf{get_MSE()}$ returns the mean squared error between true and a quadratic function corresponding to a prior distributions sample.\n"
]
},
{
@@ -229,13 +221,14 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"def get_MSE(theta, theta_o, seed=None):\n",
" \"\"\"\n",
- " Return the mean-squared error (MSE) i.e. Euclidean distance from the observation function\n",
+ " Return the mean-squared error (MSE) i.e. Euclidean distance from the\n",
+ " observation function\n",
" \"\"\"\n",
" _, y = create_t_x(theta_o, seed=seed) # truth\n",
" _, y_ = create_t_x(theta, seed=seed) # simulations\n",
@@ -246,48 +239,46 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Let's try a couple of samples from our prior and see their summary statistics. Notice that these indeed change in small amounts every time you rerun it due to the noise, except if you set the seed."
+ "Let's try a couple of samples from our prior and see their summary statistics. Notice that these indeed change in small amounts every time you rerun it due to the noise, except if you set the seed.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## 1.4 Simulating data"
+ "## 1.4 Simulating data\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Let us see various plots of prior samples and their summary statistics versus the truth, i.e. our artificial observation."
+ "Let us see various plots of prior samples and their summary statistics versus the truth, i.e. our artificial observation.\n"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- ""
+ ""
]
},
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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YxcXFkEqlcLlcePvttzfcCgYCAczMzGB6ehozMzNwuVxgs9loa2ujSo155PF1BBGoGxoawvDwMJxOJ3g8Hn7wgx9seXf8IiOVSmFychI9PT0YHx9HLBaj/6ZQKHDgwAG0trY+yyHC3R/Ir127hrGxMXz/+9/flEPucDhw69YtDA4Owmw247XXXoPf78edO3eQSqVgtVrR0dGBRCIB4LF41g9/+EPw+XwkEgmkUikIhUIAQHd3Nz788ENwuVyk02nYbDa8/fbbW94WBgIBXLt2jZZulEol5HI5bDYbGhoa8vX0PHY14vE4AoEARkdH0d7eDq/XCxaLhcLCQlRVVaGmpmZXJy8MwyAQCMDlcuHq1at0YhwAeDwe9u7di6NHj9J48Yyx+wP5T37yE8zNzYHH4+HYsWNobm7e9OT19PTgww8/hF6vx9tvv53VxAwGgwgEAvD5fPj1r38NmUwGgUAAt9tNhbT27NkDg8EAl8sFqVSKgYEBfPTRRygqKoLBYMDi4iKKi4tx7NixTQO70+nE6OgoHA4HfD4f5ufnwWaz8dprr6GxsXHb5yOPPJ4nZmdncfv2bYyPj9Odb1FRERobG1FRUbGrG5jpdBrhcBjRaBQffvgh5ubmsv69oaEBhw4dgkaj+aolPHZ/IE+lUvjZz35GTyqbzUZlZSXq6uoglUphNptzntTx8XH86le/glgsRktLC6qrq9dkwUNDQ+jt7QXDMNDpdLS0wjAMJBIJSktLceDAARiNRty6dQt9fX3weDzQaDRwOp1obGzEmTNntrUqBwIBXL58GdPT09BoNCgtLcWpU6c2pUDmkcfzwvLyMsLhMNLpNH7xi19AKBSioaEBer0eBoNhV6uH+nw+LC8vAwCuXLlCa96kRMvlclFdXY3m5mbYbLbndZi7P5ADj7UYrly5ApfLBZfLRSl/AMDn89Hc3IzDhw/T0gvDMGCxWJifn8eVK1fgcDgAAMXFxXC5XFAoFPjWt76Vk24YCAQwMTFBh49isRgOHjwIrVYLoVAImUxGA/uNGzcgEAhw9OhRHDhwYMtll1QqhYcPH2J6ehqjo6MoKSlBZWUlQqEQ6urqvlbc2jx2L9LpNK5fv447d+7Q7Fun0+GHP/zhlqUyXmQMDw/j/fffRzweX/NvAoEAZ8+eRW1t7Y6TrGg0iqGhIQwNDeHs2bN/2JOdq8EwDLq6utDZ2Yn5+Xn6OpvNhkqlQiKRQCKRwBtvvIHS0lIAjymC7e3tGBgYgMFgwMTEBORyOV555RWUlJSsu02KRCL47W9/i6GhoazXLRYLTp8+DS6Xi2vXrmF8fBw1NTV45ZVXtl0XJLX4zGvS2tqKs2fPfm1oWnnsHjAMg2AwCLFYjPfffx8DAwNoampCRUUF7HY7Dhw4AJlM9rwPc0eYn5/Hw4cPkUqlsLS0BJfLBS6XSy0hpVIp3n77bdjtdpSUlECpVO74uyYmJvD+++8jFApBqVTiG9/4xpNk9F+/QJ6JSCSCzs5OfP7557RuJZPJEAgE4PF4cOzYMej1ethstiwa4ezsLH75y18iHA7DYDDgj//4jzccJAqHw4hEIojFYpifn8ft27cRDAaxd+9eDAwMIJ1OIxqNgsViUfnc7dQKPR4P2Gw2eDwebt68iYcPH6K1tRXHjx//qpopeeQBAPjyyy9x48YN8Hg8JBIJnDp1CgcPHnzeh7UjkDjn9/vx5Zdfoquriz7nHA4HPB4PgUAA+/fvh8/nw7Fjx2AwGLb9PfPz8xgaGoLH40FlZSVmZ2fR2dkJnU6H1157DRaL5UmTsq93ICe4efMmrl+/Tv/farUiHA7D7XYDeNxlrqysRFNTE0pKSijfnHDQq6urUVxcjGQyuSVBrmg0ivfeew8TExMoKipCIpGgaonA492B0WiEyWSCXC5HfX39lld3hmHwySef4MGDB+BwODAYDJDL5TAYDCgoKIDJZNq1GVEeLy7S6TS6urpw5coVVFRUQCwWo7Cw8GlMJX7lCIfDuHfvHnp6ehAMBsEwDNhsNoRCIcLhMGQyGcRiMXw+H86fP4/6+votf/bi4iIGBwehUqnA4/EwOTmJ7u5usNlsiMViBINBsFgsHDhwAC+//PLTGgr6wwjkwOM6ejKZRG9vL+7evYtgMAihUAipVErLKdFoFAqFAtXV1TCbzSgvL0d7ezu++OKLzOPEuXPnNg3m6XQaTqcTer0eAGC32zE/P4/h4WHMzs5mlUo4HA5qa2uhUqnQ2tq6abbOMAzm5+cxMDAAp9MJn89HFyUAOHnyJA4ePJgvveSxY6TTaUxPT1MLtYWFBYRCIRQVFeH73//+rjRWCYfDmJycxCeffIJQKASNRgOhUEifJ6lUijNnzqCmpoY2M3M9QwzDoLe3F4ODgwgGg3TMfmhoCJ9//jlSqRT9WzIrcvjwYfD5fMzNzUEsFj/tQcCvRyBfWlrCzZs30drauqU6EwnoCwsLGBoaApfLxR/90R9hcXER3d3dmJ6epnoIRUVFWFlZQVlZGZLJJB48eACj0YhDhw6hrq5uR8cLPB4u+vLLL9He3g4AdEzZZDLhG9/4Bm7evAkej4eysjJ6Y22EeDyOpaUl3L9/H4ODg5DJZEin03j11VdRVVW14+PM4w8PkUgEv/71rzE1NQU2mw2dTge9Xo+qqipUVFTsGgYVwzCYnZ1Fd3c3ZmZm4PV6ATyeshSJRPB6vfS527NnD06dOgWRSJT1GalUCj6fD8lkEo8ePcLS0hISiQQWFxehVqshkUiyaIilpaW4ePEiYrEY0uk0JBLJms98Btj9gfzWrVu4fv06pQT+2Z/92ZbErQgcDgd++tOfQiAQ4OLFi7DZbEilUpifn0dHRweWlpaQTqfhcrkgFAphsViokcXhw4fx8ssvP1HmGwwGMTw8jC+//BLBYJC+zuVywePxEIlEUFFRgfr6evh8PgwMDKCiomJdjjrDMLh37x4WFxfhdDrhcrmwd+9euN1u1NbWoqmpKZ+p55GFZDKJe/fuoaioCGKxGL/4xS+wsrKCV155BY2NjdtSD30RwDAMpqamcO3aNczPz4PH40Gv1yMSicDj8UAqlUIkEuHUqVMoLi5GNBqlu2AWi4V4PE7lOd5991262+VwODCZTEin02hsbERLSwtYLBZmZ2cxNzcHm80Gk8n0PJ6v3R/Ie3t7MT09jcbGRrz77rvQarUoKSlBKBSi9a7q6uoNNY0XFxfx3nvvwePxoKamBo2NjdDpdFl0oLm5Ody/fx9DQ0NgsViQyWRYWVmBWq1GQ0MDCgoKYLPZdnzTh8Nh3L9/H7Ozs1heXkYkEkF5eTmKi4vxxRdf0O2aSqWC1+vF3r17UVZWBr1eD5VKlfPmiUQi+NnPfobl5WXI5XKsrKxAKpVCKpXi5MmTlLWTxx8ePB4P/umf/glmsxl+v5+Ky3G5XAgEArz11lu7xvVqdnYWi4uLsNlsmJqawqNHj+iwnkKhoOw1NpuN8+fPY8+ePUilUuByuVhZWcGtW7co80yr1WJ+fh7pdBo8Hg8sFgsnTpygu+PtJIlfIXZ/IM9Ef38/vvjiC/j9fojFYkilUvh8PkSjUZSVleH06dPrcrDj8Thu3bqF9vZ2qpVw9OhRHDt2LOvvvF4vHjx4gNHRUfh8vqxat1wux+uvv/5UtMfb29vx8ccfo76+HjqdDrOzs/D7/SgoKEAoFML4+Dj9W5lMBoPBAJ1OB4PBgLKyMpphJJNJJJNJCAQC9PX1YXJyEna7HSsrK/jOd77zrER88niBkUgk8OMf/xg+nw/pdJqW4FwuFxwOB1599dUnotZ9FRgaGqKmDDdv3sx6Dg0GAxKJBDweD1gsFo4cOYKamhr4fD4MDQ1hYmICwWAQZWVlmJ2dRSqVQmVlJbhcLvUS4PP58Hq9OHTo0I6YKl8xdn8gj0aj4PF4Wc2XzCYFGa758ssvEY/H0dLSgmPHjq07sBCPx+FwOPDo0SP09vaiuLgYbrcb6XQaVqsVb7zxBv2ueDyO4eFh3L17l95UwOOsxmaz4dKlS09UH/v0009x7949AIBEIoFer4fD4UAkEoFEIsHLL78MhmEwNzeH5eVlOJ1OpFIpsFgsVFRUoLW1FfPz82AYBk1NTVAoFAAeZ/8//elP4XQ6odFoIJfLIZFI0NjYCK1WC5FI9LVQosvj97Db7ejv78fMzAxNbr773e/CYrEgGo0+yTDKV4ZUKoW5uTl0dHRgYGCAvl5UVASTyYS5uTlwOBzMz8+Dw+FAr9dT0ar79++jv78ffD6fSgUMDAxAq9XiwoULu+L3b4DdH8gvX76M0dFRNDQ0oKSkBIWFhTmDdDgcxvXr1/Ho0SPweDxUV1fDYrFAKpWivLx8TRc+nU7jypUrmJychNVqBfA448+VpTMMg9HRUYyOjmJ6ehorKytIpVLg8/k4cOAAlEolvF4v5HI5SktLt3XTxONxJBIJiMVisFgspNNpjI+P45NPPoHP50NdXR0KCgrQ2toKFouFpaUlDA4OoqOjA9FolH4Oi8VCZWUlamtroVAowOfzMTU1hcnJSUSjUbjdboTDYQCPF6JvfOMbT9TMzePFgMfjwUcffYTJyUlwuVwUFhZSGebq6urnfXhbQiwWw+joKL744gusrKyAw+GgsLAQLBYLLpcry56Rw+EgmUwiFovRpmwymQSLxaIT1i9CkkLs7BwOB9RqNU6cOAGLxbLTj9v9gfydd97B5OQk/X9SB2tubgbwOICLRCKaoS8vL+Pu3bsYHh6mJRS1Wo2zZ89u6g14+fJlDAwMoKGhAXK5HK2trTlrZpFIBO+//z7GxsbW/JtAIMC3v/3tJ9ZliEaj+PjjjzE1NYVgMIi6ujpcvHiRmlYQpySLxQKGYdDR0YHOzk5EIhH6GWKxGPv27aMDSwaDASwWC93d3ZidnUVNTQ3q6upQVlb2NEXw83hGIMlHOBxGcXEx7buw2WwcPnx4Ww5ZzxvhcBjT09O4e/curXHL5XLweDzafORyuRAKhWCxWFQDBXgsE3DkyBFUV1cjGo2is7MTNpuNJmQ7BYmLT9LMZBgmKxGrrq6Gz+ejpjM7xO4P5F1dXejr64PP50M8HkcoFALwuMPM4XAQj8dhtVrxne98J6vMkUqlEA6HMT8/jy+++AIulwv79u1DMBhEMBiEWq1GW1sb5YEDjwP0P//zP8Pr9SIYDILD4aC0tBQ2mw3Nzc1rHpLR0VF88MEHiEQiOHr0KJRKJb788kv4fD4IBALI5XJUVlaitLQUFotlx9zc27dv44svvoBCoYBUKoXRaERJSckaqlgymaQZTCAQwPDwMMbHx6npBgDU19ejubkZw8PD6OnpQTgcBp/PR1NTE44cObKr1eu+zojFYrh69Sq6u7shlUopA8pms+H111+nZbUXFclkEl1dXejt7YXb7aYJh0AggFgsptRBAoFAgMLCQng8HqhUKlgsFlRWVkKn0+V8jhiGoV6+DMMgHA5DKBTi4cOHePToETgcDgoKClBbWwuv14twOAw2mw2v10t7TKOjo+BwOPj2t78Ng8GAaDSKGzdugMvlwmAwQCQS0dkUhUKxJuDHYjH84he/wMzMDEQiEV5//XUYjUa89957OH/+/JPU4nd/IP/Nb36DgYGBLKGsXFAoFGhpaaFOQM3NzZBKpXC73dBoNPjd736H7u5uSCQSaDQaLC0tIZlM4tixY2hra1tzc7jdbty7dw/T09Nwu92QSqUoKyuDWCyGyWRCeXk5+Hw+wuEwfvvb31KrJwKj0QihUIiZmRkwDAMej4eioiIcPHhwR83Sjo4OTE9PIxwOY2FhAbFYDEKhEHv37kVbW9u6Adjr9UIkEiEej+P27dvo6elBPB6nNEyHwwGxWAy/3w82mw29Xo+amhocPHgwb1n3HJFOpwE8nqH47W9/i8XFRQC/N/IlDf8XdSdFMlOHw4G5uTnMzMwgHo9T565McwYCq9WKgoIC8Hg8uFwuRKNRWCwWLC4uIhQKQavVwu/3Ix6Pw2KxoKioCCqVCg6HAw8ePIDb7UZDQwNcLleWDlNRURGEQiGmpqbWCGRJpVLweDyEQiHYbDYsLi4iFouhoaEBU1NTtKFKrgeBWCyG2WyGWCzGyMgIeDwe0uk0TTSB32f2DMPg5MmTOHTo0E5P5+4P5L/85S8xPDxMaVM8Hg9CoZAqGuYCOYGknmaxWHD06FEoFApoNBqw2WyEQiF89NFHGBoagkajoVS/8vJyOBwO+P1+VFdXQywWY3Z2Fjdu3IDb7UYoFKImFT/84Q/BZrPBMAyWl5cRCoUQiUQwMTGBrq4u6HQ6lJaWQqPRYHl5GSMjI/D7/TCZTEgmk6iqqsJLL7207YcxnU5jamoKnZ2dGBwcBJfLRXNzM1566aVNx/djsRgePXqEBw8eQCgUoqCggHb5WSwWhEIhIpEI9Ho9pFIpCgoKKKedzWbnOerPED6fDywWC8vLy/jggw9oT0MikWDfvn0wmUxUYuJFAiEfTE9P48qVK/D7/dS8ZT0Qsar1/l8kEkGhUMDhcECr1UKpVMLpdEKhUIDH42Fubi4rKOv1elgsFvT09EAqlWLv3r2Ix+Mwm82orKwEi8VCLBbD3NwcdDodZDIZUqnUmmfP7/fjypUrmJmZAY/Hw5tvvgmz2Qyv14toNIpoNIqVlRXMz89jfn4efr8fQqEQKysrAB7HHDabDT6fT4M6i8XC2bNn0drautNTvPsD+fvvv4/e3l4YDAYYDAa43W7Mz8/DarWitrYWV69ehUgkyqoN63Q6yhO1WCwYGBhAJBIBi8WCXC6HWq2GRqNBa2srVlZWcOPGDTidzjU3H4fDoZS/kydPQiqVIpVKoaurCx999BGOHTuGl156KedWr6+vD48ePcLc3BwYhkFLSwtOnjyJu3fvYnp6mt74AoEASqUSdXV1OHDgwLan6lwuF+7cuYPe3l6w2Wzs3bsXTU1NEAgE4PP5WyqVpNNp2O12DA4OYmhoiDaXVoPH4+HChQv5JulTBsMwuH37Nh18Ax5T7CoqKqhux1cwPUgRj8cxNTWFRCIBtVqNgoICJBIJ9Pb24v79+0ilUjh8+DCAx6VPu92+4eeRIC2XyyGVSrGwsAAul4sjR45AIBAgGAwiFovBbDZDLpfTHSNx7sqV6KTTaSwtLcHv90Oj0UCj0YDFYiGRSIDNZj+xxADJwDfblZKyp1KphM/no+9Jp9NQKBQ4duwY/V1P0ITd/YE8lUrhk08+QXt7O9hsNoqKirBv3z6UlJSAz+fjwYMH6O/vh9frpbWx1RCLxRAKhZSGxTAMXC4XEokEFdgiGc/9+/dRWFgIi8VC63lTU1MQCAR46aWXUF5eDo1Gg3/5l39Bf38/AKC8vBxvvPFGzgsVCATw5Zdf4tGjRzh+/Dh9AABgenoa/f39cLlcmJmZgUAggFQqRXV1NY4ePbqtoO71enHjxg309/fTm5DFYqG2thZtbW0wmUxb+hyiSzE/Pw+5XE6HmPh8Ps2AuFwuJBIJNd3g8XhfC2/GrxpOpxN9fX30/q2trUVRURFSqRRaWlq+klF5wpoKh8MYHx/H+Pg4pqens0oJEomEahltBA6HA4FAQJ9BlUpFG+2Z4lTz8/MQi8W7mhI4PT2N9vZ2DA4O0tdYLBaqqqpQW1sLh8OB/v5+GtzffvvtTckWG2D3B3KCmZkZjI2N4dGjR0gmkzh37lxOZbbVjBKyOmaCNP9kMhn4fD44HA4cDgfN7FksFsrLyyGVSumN7vF4qG9fbW0tjEYjtXBLJBJQqVQoLS2FUqlcM8rLMAwuX76M/v5+6HQ6Wl9raWmhN/PU1BT6+/vh9/sxPj4OmUwGmUwGq9WKQ4cObVnxMBQKYXR0lG7RHz16RLeYZrMZe/bs2ZajC9GzMJvNcLlceP/99+H3+7OojwBQXV1Nt5MVFRWIx+NIJpM4dOjQrtHu+KowMzOD69evY2ZmBiwWC8XFxWhqakJdXd2OyibpdDpn5kiy6OXlZej1ehqw0+k0PB4PHA7HmiYjm82GQqFAKBRCOp0Gl8vNutZkEM/lciGdTkMgENApaTLEtnfvXhQVFWVNFr9o5aCdIJlMYnR0FJ999hkN0MDv3YSIhDZBcXExysvLIZPJUFRU9CSqpV+fQE4QCATw/vvvY2pqCrW1tZQZUlRUlPV3Y2NjGBoawtjYGILBIAoLC6HVauFyueDz+Witm4DL5UIkEuH06dOw2+0YHR1FJBIBj8ejN7JQKMy6UAKBACUlJZiYmEA8HqcXFAAKCwtx5swZSjlKJBJ0KtXv98PhcIDL5eK1115DbW1t1rGPj4+js7MTsViMChs1NzejoqICfD4fFotly41IQs8ik3KpVAoHDhxAXV0djEbjjh8wr9eLO3fu0GYwOYdk2pagqKgIbW1tYBgGZWVlfzBBnQxymc1mMAyDwcFBmEwmGgikUikOHjyI+vr6HY2FJxIJuhtdXl5GbW0ttFothoeHaXPO6/UiHo+Dw+HQez0ziVGpVFhZWYHX66Uj6qlUCna7HVKpFF6vN6vcWFFRgfHx8awdn8lkQjweRzQahVwux6VLl6BWq5/OSXwBEAwGEY/H0d3djdu3byNX7JTJZDh9+jRqa2tpkiOXy59mOezrF8iBxxnI559/jo6ODqTTaaRSKTQ1NdHGRubKR274GzdugM/no6WlBXv27IFCocDt27cxNjaGWCxGs20SIFdn8Xq9HjqdDmq1Gn6/Hz09PZDL5TAajZDL5bQJMjc3B4FAQI/rxIkTcDgciEajOHbsGC1x+Hw+vPfee5ifn0dzczNOnz6dszTj9Xpx+/ZtdHd302NSKBTYs2cPampqqHn0VgJyJBLB1atX0dvbCwAwmUw4fvw4VCoVpFLpjjjIJGO/c+dOFq/eZrOhoKAA9+/fpzc/4bUfOHAAfr8fsVgMfD4farX6axXgMzXlSckpk0VRU1OD119/fctN7nQ6jbm5OczOziIWi2FlZQXT09NZCUpvby+SySTVT4nFYigoKEB5eTldzMPhMILBYFZwFovFaGtrQ0lJCWQyGX75y1/SY1UoFGCz2YhEIkgkEkilUtBoNDh69CgSiQRKS0tfeNrjduByuRCJRKiwWKZ0dCZUKhXq6+tpmbauru5Zs4e+noE8EyTTbW9vRzqdhkqlwp/8yZ+smf50Op349NNP6fbPZrPh0KFDKC0tBYvFgtfrxd27dzE4OAiGYSASiaDX67G0tES3nzweDyqVCocOHcLExASGh4fBZrMRi8VosFKr1eBwOHRhAB4vDmw2G8lkEiaTCRcuXACXy4VcLseNGzdw9+5dcDgclJeXY+/evfSYMhEIBOD1euH3+9HZ2YmpqSn6bxKJBPX19RAIBNBqtZs2IwOBAEZGRnDz5s2sHYZCoUBVVRWsViuEQiGsVuu2grvT6cTk5CT8fj+6u7uzJklra2vXaMgQsFgslJSU4OzZs2sMsl9kJBIJuN1uSpPz+Xzo6emB2+3G0NAQqqqqqGTy+fPn4ff7kU6ncfjw4awdFaGUmkwm8Pl8zMzM4O7du+DxeFAoFFQXG3h8L8lkMiiVShw+fBg2mw0DAwO4evUq0uk0Tpw4gc8//3wNzU6r1cJgMFD6bCKRQDqdhtlsxieffLJuw5JMiopEIshkMjQ3N78Qk5NPimAwiMnJSTAMQ3sVq5v8AoEgiyZZWVmJt95663nQcr/+gZwgnU5jZmYG//RP/wSr1YpvfetbOW3SVlZW0NPTg87OTqysrECpVEIul6OhoQF79uxZc5EYhsHvfvc7qiueCbVajVAohFgsBrFYDDabjXg8nvUQicViGtCIfRaBUCjEqVOnoNfr0dfXh76+PkQiETrsdPr0aRiNRszPz9Mgrdfr4fF4MDk5icnJSTrGnFnrZLPZqK2tRWtrK+RyOcRiMbhcLq2lkkUiHo9jcnISsVgMfr8f8/PzGBsbo5k/0ZQhDebtBPV4PI7FxUWwWCyqKqlUKulEYmVlJaRSKaLRKJaXl9He3o5EIoGioiJoNBoaJEUiEU6cOPHCCRstLi7i5z//OQ2w5Nqy2WxIJBJUVVXh7NmzCIfDSCaTazLXcDiMpaUlxONxXLlyJUviGHi8OLPZbASDQSpzXFZWhkQigX/5l3/B9PQ0uFwuvefMZjOVYlCpVHj11VcxNzcHkUgEnU6HmZkZms2PjIxk7TgJ7TQejyOdTuP8+fNQKBRQKpVP2yDhKwXZIS8tLWF2dhbRaJTOmeRiZhGryHQ6DQ6HQ58ptVqNt95663neg384gZygp6cHv/nNbyCVSlFTUwOxWJxTf4HQCKenp+FyubC0tASdTodLly5Bo9EgmUzSGhfDMNR6TSQS4ZNPPqEPXmZdPPNhWP1vzxIsFgsKhSKrNr0eeDwe5HI5wuEwWCwWBAIB9Ho9JBIJnE4n5ubmqKJcOBzG1NQUXC4XDAYDLl68CB6PB4/HA4VCsa7SZC5MTk7is88+o/z/l156CTU1Nejs7ITRaERhYSG6urpoRk92P8vLy4hGo6ioqEB5eTkEAgFlzZhMpq/EyYbUl4mrzvj4OLq6uiAWi3Hy5EnweDyMjY1Rvvd6lM+xsTFMT08jHo+jp6eHLuoqlQqnTp3C8vIyXC4XlpeXsby8DODxYFkymYRGo4HBYKDmwceOHaOaP2VlZaioqEAsFsP9+/exZ88ehMNhfPDBB3S8nVxvAFn3JHHQIsNFdXV1T0Xd86tCKpUCm82G2+2G3W7H4uIiDAYDJBIJ/uVf/gWJRAIsFgtisRgcDgfpdHrNs8vn86HRaOBwOLLODZvNRmtrK44dO/a8vXOfXSBnsVg/AfAqgGWGYTYlFu80kLtcLiwsLNC6nVKpxIEDBzasCS8sLODq1as04yksLMTbb7+9JqNkGAYzMzPo7u4Gi8XCyMgIbWxyuVyUlpZSOlUuXRXg8SouFAq3RM96WiANq1wLhkAggMViwdTUFNLpdBZtMBO52DzA4067z+ejDbCNBjvUajWKi4shkUgQDAahVCqhVqsRiURQUlICtVpNHcrJTieZTOLjjz9GV1dX1u+QyWT4wQ9+ALfbDYZhUFlZCeBxXf/OnTvUfzETAoGA8ubJ0BipzT8tjI2N4fLly4hGo/SckXvj/PnzOZkIDMPA5/NhYmICQ0NDCIfDdIiFnIeamhqUlZVhZGQEbDabDpmQst5LL72ERCKB6elpCIVC2O12Ks2aKdecSqXg8XigVqvBZrPhcDhw79499Pf3ZwUlFosFpVKJgoIClJaWwmAwQKVSrasS+qLC4/HA7XYjHo/j4cOHmJ2dzfr3zMauXq+H2WzG4OAgEokEvU8PHTqEhYWFLA0nuVwOPp8Pl8sFNptNJStekB7AMw3kRwAEAfzfZxnI/9t/+29Z9cF0Oo3W1lY0NDTA7XZDr9fnZF8wDIOBgQHcv38fCwsLUCgUsFqttLFHtpgul2vDgCWRSJBKpaiuM3H1AR5n4LW1tZicnKTbMDKIQ0xf//VcAXhcZrHZbOByuejp6QGHw4FUKkU6nc6qVW8EYvIqlUohFAqhUqmQTCbhdDqxf/9+1NfXg8PhUE0Zo9EIh8OBwcFBLC0tYWFhgZ5PPp+PoqIi1NTUQC6Xo7e3Fz09PfTfMhcAPp9PJQk4HM6a87X6HHI4HMpySKVSUKvVqK6upgFnfHyclo9cLhd+8YtfUPssAGhubsbx48fB4XAwNTUFk8kEhmGQTCaRSCTg9XoxNDREufyZqKioQElJCZLJJAwGA53ic7lcKCgo2HAn4XA4aL3U7/djdnYWRqMRlZWVSCaTKC4uRmFhIW1uMQwDr9cLDoeDgYEBdHZ2Zk02ktKd2+2GRCKho9ypVIouWmRQpri4eF1dnnQ6TY/J6XQiHo+js7MTXq83a0KRfC+Hw8GRI0eoANyLKrdAWDUsFguDg4M0Kyb1aa/XC7PZDDabjY6ODng8HvpemUyGpqYm+v8rKyt0ytLlctFmZUVFBU6cOIFQKISuri4sLCzA7Xbj0KFDaG1tBYfDwd27d3Hv3j20tbXh0KFDT0VzKBKJIBKJrGsMsw0829IKi8WyAbjyLAM5USQkD3h5efma7FgoFOKtt96CVqvFzMwMBgYGsLi4iJWVlTUNi0yo1WrodDoqtBMMBrG8vJxzqEgmk6GiogKRSARGo5HSyyYnJyGTyfD666+jqKgoSye9vb2dlg5kMhmmpqawuLgIuVyOw4cPw263Y3JyEhKJBKWlpQgGgzhy5AgePHhAGTmbgcVi0UGMeDyON954g2qQs1isrG46qZFHIhEsLi6ip6cHAwMDSKVS2L9/P06fPo179+6BYRjs378fgUCA8ok/+eQT6m2aTqeRTCYxMTFBt66r7ymSbUulUjrZl1mXVCqVaGlpQSgUgs/nw/j4OA1CZHiLyAIQt5fGxkYUFBSgqqqKPmjz8/OYnZ1FdXU1OBwOenp6cPv27XWvOZ/Px7/5N/8Gs7OzWFpagkKhgFgshkQigc/nw2effQbgcYYml8tRUFCAQ4cOwel0YnR0FFNTU9Bqtaivr8fMzAxGR0ez2A1isRiRSCRnSU2tVkOpVNIeCNHSzjR5IMHabDYjnU5jeHgYY2NjdLEmJZfM85z5XRqNBm1tbTn7Pc8K0Wh0XeYU2Z14PB5oNBoolUokEgncv38fHR0d8Pv9lPobCARoDyeVStGaNSkZFhYWora2FgUFBWCz2TAYDAgGg7h79y7a29vB4XDA5XLpQlBYWIh0Oo2FhQXE43FEIhFq51hdXY1YLIauri5KTNi7dy/Onz//REE3mUzSHtb169cRj8chEAjwzW9+88UdCNoskLNYrD8F8KcAUFhYuJfYTW0XwWAQH3zwQU7GQy4IhULIZDKUl5fjxIkTmJmZwfz8PEZGRuBwONaUQEQiEQ1y5eXlUCqV4PP5iMVicDgcdBTYbDav4ckSXeSt1GqJ1+Ann3yC5eVlcDgcVFVV0bpoa2srxsfHwePxUFpaiuXlZTAMA6FQmCW0T0aXM6+jUqlEMBhc89vEYjEV2m9vb0dxcTEuXLhANVWIFGpnZyeam5sxMjKCUCgEFouFgoICVFRUYM+ePZDL5Tldx0dHRzE4OIh4PI5UKoVEIoGlpSWqLkeCSSqVyir/ZAZaPp9PDa/7+vowODhIAynwuNzjcrkwMjJCleoOHDiA6upq6PX6NceUSCRo43FkZASRSAQKhQISiYRm/us9AwaDAZcuXcLExAQVabp69eqGZbPM3YhcLqfWgwKBgLJB6urqwOFwaDNSIpEgmUxiYGAAQqEQbDYbnZ2dGB0dBcMwKC4uxuLi4prBK6lUiqqqKgiFQrS2tkIsFlOdH5lMlnPYy+/3Y25ujmrnkBJjPB7H9PQ0+Hw+ZDIZRkdHoVKpqDZJLhDBq3A4DJVKhY6ODnzyySeora3Fa6+9RvX6GYaBVCrFgwcPssofOp2OKg6WlZXBarVSr83GxkZUV1eDxWJRjXEOhwOPx4OFhQU8fPgQXC4Xer0eBQUFGB0dpRZue/fuxcmTJ8EwDIaHh9HR0UFJAmVlZRCJRCgoKEB9fT1YLBZ+/etfY3R0FBaLBVVVVSgoKEBxcfG2g3g0GkVPTw+t1d++fZtqrJSWlsJqtWJ8fBxnzpx5kunn3Z+Rk3qfy+XKWesF1q/3EpC6mVAoRHV1NdUKHxoawuTkJOLxOGpra/HGG2+sm1X09/fj448/Rjweh8FgQGNjI1pbW3eU9aRSKYyNjUGv10OtViORSODnP/85pqenYbFYwOPxKCuhsbERRUVF6OvrA4vFgkgkwvDwMKLRKM1cc50PwpbZSlYvl8sRi8XookRqp5nMk8LCQpjNZhQXFyMQCFDDjlxIJBL4/PPPMTw8DJ1OBx6PB4fDAZ/PB6FQiPLychpA1Go1XSgzJ+NWX1O1Wo3a2lpMTEwgFApRkaKioiK88sorOctroVAIf//3f0/pgcBjJx1CdzQYDLh//36WrsZ650smk6G1tRV6vZ7a6dXW1oLFYsFut6O0tBQVFRV0uMfv92N4eJiycEZGRvDRRx/RspxCoUAqlcqq+68ecSe/j3C/SbOOsC8OHTqEiooKzM/Pw+v1YmVlBT6fj54bvV4Pp9OZVY5gsViUiUIC6moYjUaamPB4PFpmc7vdWSXD1ecr1/njcDioqakBi8VCKBRCNBqFyWRCbW3tmhJSNBqlicvNmzfh9XpRU1ODubk53Lt3D2KxGHK5nCqXCoVCNDc3QyKRwOFwYHFxES6XC8DjBvLBgwfR1NREZxS8Xi/u37+PsbExeL1enDt3bstCVrFYDENDQ5ifn6f9IDKFnRmXCgoKUFNTg0QigfHxcSwsLAAA3nrrrScx+tj9gfy//tf/mjNYke2wSqXC6Ojolj6LjL0TMaDm5mbodDrcv38fDx8+xIEDB3D69Ol1V+WVlRUqJ2u322m332Kx4KWXXnoiUf9kMklr/iwWCx6PB19++SUGBwfpw8Zms/H9738fFosFd+/excOHDyEQCKg3o0gkojVk4PGDTOqnpLxBtrCZGfN6IlkA1tReV/8bqV+SbatGo6GLJYvFgtPpRDKZxNzcHJRKJWUKFRQUYGZmBkajEQ0NDejr68PCwgKqq6thNBpx/fp1+j1cLpdm9ERtMrP/QF4nTBqRSITi4mKMj49jaGgIbW1tmJycRCqVglwuR3FxMWZnZ+kASKb06HoQiUQQiURUfkGv1yMajUKr1SIej+Odd95BNBpFaWkpUqkUbTZnHiNpNgKPOffRaBSJRALxeBwikYgyS2QyGVXVM5vNmJiYgM1mo0JMIpEIbrcbExMTWccok8ko3TQcDlMJ59raWhQWFiIUCmFiYgLj4+Ngs9mQy+VQKBSYnp6G1+uFRCLJSgDILov8BuD3zX2ilqnVatHS0oJPP/2UlkMYhkE6nYZer18zHZr5WQzDQKPR0Ey1r68PDMNAr9djeXk5SxGxqqoKr732GoLBIGZnZ8FmsyGVStHR0YGxsTHIZDKYTCbazDWbzfR7YrEYbt26hfv374PFYlF/gfUCazKZpHX7RCKBW7du4cGDB7RMQqZehUIh3aHkKi9qtVo6uPeEHqm7P5D/6Ec/gtvtRn19PZLJJN1er4fMrjXZMpLaea4FgYBs9/fu3Qs+nw+/349XX301J+2IYRj09PRQbjlppra1tVHlwSdBZpCKxWKYmJigIvckeJDOvVKpxP79+zE3N5cl4ENAaoZkRxKNRqnWC2nCCIVCLC0tYX5+HuFwGGq1GhaLBUtLS/R7iNfnwsICLTtlShzw+XyaTRJfUYFAkHXOeTweZDIZzfCj0Sit/5IAkRlUCwsL0dramsUuiEQiVPudZHOZx7EaUqkUEomELl7rgcPhgM/nw2azoaWlBXa7HUNDQ3A6nXSrvxH4fD7MZjOWl5chEomgVqshl8sxODi44fcSsFgstLS0wOv1YnFxES0tLRgYGIDL5cLLL78MiUSCkZEROh3MMAwmJibgcDioicrc3BzVLSefyTAMSktLUV1djcnJSVqKyIwBer0elZWVWFlZwdLSElZWVmj/SKlUIp1O02B84MAByGQyTE9Pw2g0UtaLw+GA3W5HfX09XXjJfeJyuaDT6bC0tITe3l74/X66eyAlQoZhaPAk9wPJwC0WC03Ypqam1lAEz5w5g5aWlpwJ2OTkJC5fvoxQKITGxkacOHFiXc2TdDqNO3fu4MaNG3Rqe3Z2FuFwmFpHEtXFqakphEIhKJVKnD9/HlarFQ6HAysrK2Cz2dBoNE8kgbEKz5S18gsAxwBoASwB+P8yDPPj9f5+p4E8U2UwE1wuF0qlEi6XK+sG+NdjQ0VFBVKpFCYmJugYbXV1NRYWFhAOh1FaWopPPvkEgUBgXb63RCLBqVOnIBQKqY4xqXVmYmJiAh999BG8Xi9kMhltmAiFQrjdbgQCAfB4PBiNRrjdbvh8Pko5czqdcLlcdJJ0YWGBNsukUikSicS6jbvMRWv1uSHBe6tgs9n0ASTvI24oPp+PMlXS6TS0Wi2Ki4sxOjpKt/GZyKzBks8RiURYWVnZUqkHWJ+Dvx6dcrvg8XiUBUOwWg5ZJpOhqqoKkUgEZrMZBoMBN2/epKYeoVCIikdtB1qtFhaLhZYJCHvl5MmT+PTTTykLhpTdYrEYFXMDHpfCQqEQHQYCQLnSNpsNbrcbsVgMdXV1CAaDVG+INANNJhMsFgv4fD7cbjfl6F+9ehX9/f30vSdOnMjKJFOpFC5fvgyXy4W2tjbU1dWtK60Qi8Vw7949zMzMYGVlBTweL6tRS2rXYrEY6XQaDMNQxc979+5RT1qRSERLLgSZmbpCoUBJSQm0Wi1UKhVlhSWTSQwPD+PKlSvUgNlkMsHn80Emk4HL5SIcDuPevXtUCrevrw8ul4tKzobDYboIk6Y7uS9sNhuqq6tRWVn5VTSVd/9AUEdHBx48eECnMEtKSrCyskJ5w0qlkj4IEokkK6Njs9mwWCwQCoUYHR2FzWajjj2Zf3vmzBl0dHTQ+hqwtiGX+ZlarRZmsxlKpRJGoxHXrl3D0tISlEol4vH4ljIw8lmkyZq5DReJROByuQgEAmu4wCTLyfwMUlJZL+DnglarRTQaXcPNJshcJAg3nAS59RaQjUACs1gshkAgwMrKCjXE6OvrAwCqe728vJwVUJ8HSL1eoVCsWaw2M0VYDTJYlkmv3AkyLd4A0Jo5m82GWq2mGa5QKIROp8Pc3Bz9W/I7SI+D3OvkWqpUKni9XjQ1NUEkEtHBI41Gg1gsBolEAoFAgNnZWaq9TZzsy8vLKQ8+GAyCy+XSCWetVks1W0wmExoaGmhZJHMRIGWZZDKJy5cvY3h4GNXV1XSXKZFIcOLECfh8PgSDQbS1tWFxcRF9fX2Ym5tbd7fN4/EgEAhw8uRJzM/Po729nYq7BQIBunPIFBfLvJ42mw2FhYVIJpMoKSmB2Wze9nBQIBB4EuVD4OsQyP/3//7fWdtF4PFWUKVS0SyDxWIhGo1Co9FAIpGgq6trwwcrV1OmqKgIJpMJkUiEThdudTKTjGVnNoKA7KxSJpNBIpHAarVCLBaju7sbKpUKjY2NaGxsRDQahdfrRUFBQRaFMRqNUt6xRCIBh8OhzBIy8EB2CLOzs1heXkYqlYLBYEAsFsPg4CAsFgu6u7uxuLiYlVmQ47NarWhtbaVmtv39/RgaGkIoFKLUOtKI4/P5kMvlEAqFOHjwIJaWljAxMYFwOJzFCPqqplpJ/f95BP7M3gNRxtys8U4YR8DvnXUyz5NQKMTbb7+Nrq4uzM7OwufzQa/XU0qpyWSCWq2mTk/hcJjypzUaDVU9TKfTOHLkCOLxOJVbLi8vh81mA8MwlOZIGFEOhwMqlQocDgfRaJTWyVcfo0AgAMMw294VcblculMkAZPs8MjnZ34P0YZpamrCyMgIWCwWjh8/TgegSC+J7FgCgQAtvayOF6shl8uhVCqRSqWwuLhIr1dRUREaGxtRX19Pd5v79+/fUcZNvHBv3bqFW7du4eLFi1SPfQfY/YF8aWkJN27coHVRIkW7GpmMh42447mw+mFis9nUDorU80ipYqNMlNR5lUol6uvrUV1djXA4jNu3b2NgYAAmk4kyH8gwT2bjh2zZ1wMR+CG8V41GQ9+XTqdRWFhIKXdEK2NmZgYPHz6kQZbQuja7B7Yy1ZnJhnjeIH2JZDIJPp9Pt+MsFosunqt9VZ8VSkpKsLi4iEQiQRc2mUxG+wdkN7iZYQOZA0gmk/R6kcYu2Z09qwUs1zj/88bqRvdmWD0Bvd5nKhQKKnYXiUSolWNBQQHm5+chk8lQWFgIuVyOZDKJUChEk5xAIACVSgWtVgu5XA673Y7Ozs41vYpLly49ibPW7g/k77zzTlazi4AM8WQGG4vFglAoRKcsSbYkk8kgFAqzFAm3WmsldUWtVkuzKRaLhYWFBRrUyTBEps5KJtRqNcxmM4aGhrIe2tLSUhw/fhwsFgtXr16F3W5Ha2srrFYrkskkZSyMj4/DZrNhampqDVMhEyqVCgKBYI2fqVQqRVFREWZnZ7MmSEmg2Gp2pVAoEAgEnqg88FWBxWKBy+WumTZls9mb+kluhszgShbujTxkCaxWK0pLSzE2NgYej4dAIACfz0e1YzQaDW04bxcka3c6naiuroZQKMT9+/cRj8fXJDVGoxF+v3/N95ApY/K6QCDAhQsXMDIygnA4DIFAQOcZiMMPGQ4jvH2VSpXF2CHTy7l6KZnHs7KykrUo7aR8txWQe36zpCzz7zeKl+tRgDOhUqlw4cIFSnveAXZ/IP/rv/7rTcfX1zvZLBYLNTU1aG5uhsfjQW9vb1bdcLvg8XhobGzEsWPHkE6n0dXVBb/fj66uLkgkEuj1emi1WshkMszPzyMQCCAYDG5JzIrNZtMMYDXIbiPzdxLqH5mYzKQQajQaWhIhw0terxcGg2FLAedpgAh5Edogh8OhzkrhcBhWq5Wq0/X399OyhFwupwNWS0tL9PMEAgGlUpIHPrOXQJBZ2lAqlQiHw9suA6wuj2xlByORSBCNRrOCw3Z3hpnfz2KxYDQaoVQqafAkBuThcJhqsqTT6U2/Q6lUUoExu92epZRpMpkQCASyzmFDQwOEQiE6OzuzEg8ej4fW1laYzWb09fVhYmICyWSSHmcgEMDCwkIWCyWTQUaol0QF02az4e7du+jv70c4HIZGo6E7l8xdN1k4txJ4RSIRlEoleDwevF5vlvrjamXSTKw3nbz6NTabDYFAgKqqKlRXV1OhuczdntFoRGtrK4aHhykZ49y5c08iRrb7A/l7772H0dFRNDc3Y2xsDB6PJ2uMNxMSiYSaJcvlcnR0dKyxsgIeP2CZGiqRSGTHgldcLhcymYw6DhHqHTGAlclkWSPcuTLFXBAKhVRyM3MncObMGUprIxOQer2eUrXm5uYwPT2NsrIyKJVKPHz4MGcQyhxnfhoskPWuyWrweDwIhUKa+ZFjIPXOjSAQCHD8+HEAjwd7QqEQlpaWEAqFsuSCdwoikBQKhda9H/h8PuVRb2VnwuPxaN9jdnY2SynTYDBAp9PB6XRiaWkpK7PbKDnZrFywGQijqqysjF7/UCgELpeL+vp61NfX44MPPkA0GgWfz0dTUxM1giZIpVL47LPPMDw8THs44XAYQqEQ9fX1qKyshM1mQyAQwMrKCqxWa1atOZVKYXx8HB6PB0NDQ+smWDqdDj6fj85AkGtMpibn5+cxMTGBdDoNtVoNo9GIhYUF+Hw+mEwmlJeXQy6XY3R0FHw+HwaDAb29veBwONi7dy8UCgXsdjumpqZgNpuh1WqpHIPf76cL0lafEaFQSJv5mWhpacH58+e3e6kIdn8gJyJNpMlit9upBKjT6dy0sZELuSbSCNf4WUAkEqGkpARer5dOepHJSIZh6Bj5eiBUNI1Gg9nZWaRSKYjFYtTV1dFBhacFYgFGMqSlpSX4fD6aXWq1WlRWViKdTqO9vX3dgEeEqmw2Gy3JzM7Orjt8xOfzoVKpEAgEKIOAZJqZQlPbAZvNBo/Hg8FgQGFhIe7cuUMlSxOJBM2ga2trYTKZ8OjRI6pASCAUCsHlchEKhdYE1q3SPNlsNq3bk3OzujEOgDpL5VrQ1ssYjUYjAoEAYrFYzveRQZnp6ekNM/dM8xNyfOQ5MZvNEIvF9N4jWjGhUAilpaV0UIkMwIhEoqygzzAMxsbGKDNMq9XC4XDQ543QXHP1vgBQobvl5WXEYjF873vfy/IDDYfDGBwcxPj4OJaWlugcROZkZeb0skKhoNorCoUCRqMRFy5cQE9PDzweD6qqquB0OuF2u8Hn86mX7naRmbS1tbXh9OnT2/4M8lE5X9xNgfz+/fsYGRnBysoKjEYjrFYrfD4fRCIR1XUmE2g7+V25MsnVDaadYL2MSiwWQ6lUQqfTUeuu1tZWaDQa3L59e40o0k6Qyb0lJZv6+nrq75hMJung0tTUFORyOaqqqiCVSlFWVpb1EKbTaczOzqKwsBAjIyP48MMPEY1GoVAo8I1vfANisRgTExPo6uqC2WyGQCBAb2/vpnVD0qwjdK9oNEp3NzweD263e0uDOAQSiQQKhQIej4d+d2YfhBhtE2VCPp9PjS1I/RcAnVItLCyE1+ulwSbX+HwubMZaWX0OVo+7E817lUqFmpoaKBQKXLlyBXw+H8ePHwefz8fCwgKcTidmZ2cphZb0QUQiEQ3CREeEUP2mpqbg8XiwZ88eLCws0InRQCCAzs5OTE9Pb3rMpL68+jcqlUoUFRWht7cXXC4XPB6PNicjkUjOc5JJ8xOLxZQ5lUwmqVFLd3c3Hj58SM/78ePHcfjw4S2dX0IEWFlZgV6vx+LiIvr7+6HX6zE8PIyRkZFNf2sikchq/BcWFsLlclFzlEuXLuHOnTu4d+/eujtKLpeLs2fPorm5eUvHnQO7P5D/zd/8DV0Nc9GUANCbn2SKs7OzNLNZjydNwOfz6ZYt14Xg8/k4duwY2tvb6aDGs2jCPE2wWCyo1Wo6WVlcXIzq6moEg0GYTCaIRCJIpdI1MrtbAVE9/PTTT+HxeGhN8o033qAURDJ4cf369XV9DzOPlWEY+lBvtVZJIBaLIRQKKYOGw+HAbDZDIpHQJjVxg8o1bboRNrvWq3ndubA6G8/173q9PmfzkRwv0Zg/cOAA1YwBHvPSiRXh0NAQHA4H5XyTnQ3wOCCVl5ejoqKClg+WlpZw584dTE5OUonm1Rl7Zo2fy+VSGeNMiEQiKhOxHjKvH4vFQnl5Oa2XNzU1QSqVwul0QiKR0J3cl19+SX1Gi4qKUFdXB7lcjtLSUsouefDgAdUkInMOAoGAqo12dnYiHo9DLpdTgTgCHo+HAwcOoKWlBTdv3sSjR48oL57D4WBhYYEuPnw+H/v37wefz8f169fpsJ5YLAbDMFlDYaRsRaayyf3z8ssv48iRI+ueo02w+wP5X/7lX64pHbBYj0XyzWYzjhw5Ao1Gk1V/I9oeRPZzcXERCwsLmzafSAYnFAqh1WqxsrKC6upqvPzyyzSQT01Noa6uDuFwGMPDw1k3h9lsRklJCQYHBzcNYDsFm81GWVkZ9Ho9Nb6IRqN0AKSrqwvj4+Mb7iYyzwOHw8HBgwepSS8RZCJbzmg0ipmZGZSUlFBqpNPphMPhwNjYGAYHB7e0sJGguJ2MdTVYLBY1wCbNxZaWFhQVFcHhcMDlcmF8fJyaS2eiuLiYShWT8W+/30+3zwKBYE1pjfQ5yAJPeh8CgYAyVTJt8chnrkauUh4pY2T+NjI9KhaLKfWVTHUSk3CLxYKysjJa2iDON6lUCkqlElVVVeByuVheXkZ3dzdkMhl1JiIgPR0ej4eKigrw+Xyk02ns2bMHLBYLk5OT0Gq1GBgYwODgYE4q6kY1/MxZBQKy4JId0HrnePW5kkqlSKVSWQ1ujUaDxcVFpFIpmM1m2vglEsJ2ux3RaBRlZWXQaDQIBAK0J0Hs8jweD2ZnZ6nZsslkQk9PD2ZmZjbdjfN4PIhEIvB4POrSVFFRgZaWFhQWFiIcDuPhw4fo6+ujC/1LL72EEydOrPuZm2D3B/J//ud/ztoCkVIIGVbgcDgoLi5GY2MjgMeKhqOjo1lCUzKZDLFYjGZFRDRHp9NhYWEB7e3tKCkpQX19PRwOB65du7ZuvVwul6OyshIWiwXT09Po6upak7kJBALI5XIkEgnKQd8IuYKbUCikY+DraX4TyGQyXLx4kWpKHDhwAPv376e13du3b2Nubg4KhQJer5eyHjYrXRCfTzK0QcwsMmmcIpEIbDabbvHJlCmpaROLMuKiFIvFMDk5CaVSCb1eD7vdTpX9SFOXfBafz4dYLIZWq0UoFNq0H5JJLySThKtr3uTvCAOmtbWVPvgVFRUQi8Ww2+1YWlpCIBBYIxecC3w+H2+99RYKCwsxNjYGi8WCeDxO1TVnZmZoXZnH49Ghm42SCmLGLZPJsLy8TM/F3Nwc3X3kuicyRauAx4GQDCzlmjomk8GEaZIplLUaJNsUCoX4/ve/j1gshs7OTrhcLhQXFyMajWJkZITaB9bV1eH999+n15OQDLxe76bnlJhwu91uyGQyHD58GBwOBx0dHQgGg7DZbDh48GBO2V5CYACAgYEBzM7OQiKRIB6PY2lpiQq5EdonaWpmnk8ul7umAU8ol+QZIuevpKQEBQUFcDqd1MlpNVpbW3Hu3LkNf/MG2P2B/ObNmxgbG8PKysqWm5FEKEulUgEA3XJJJBKMjo5SO6f1AhmLxUJpaSkKCgqoyE9ZWdmGo8CEBRKPx9eUfUgmSrLIjdgZCoUCBoMBfr+fvi8ej9ORaBJYNwObzYbVagWLxYLf76f0RblcDr/fT7OmJ+VUZ0Kj0aC4uBidnZ1ZE3uZ4PF40Ol09BqQJtTKysqarJ0wXAKBAC2fkYlDIrfrcrlyfkeuDI/FYtExcIL1FkjSZwCAV199FalUCrdu3UJtbS0taSwtLWVNyYrFYiqkZDQaMTIygoaGBhgMBnR0dFAdb9IEi8fj4HK5WUyH9Xo95DgFAgHEYjG8Xi9YrMea8URbZSvYCpWSKCwWFhbi5Zdfxr179xCJRNDQ0ID+/n6kUinU1dXht7/97aY7Tz6fj1dffZUOxhEJWOKKZbVa6fAUWYRYLBZaW1vBMI+9coHcw0ClpaU4d+4clEolJicn0dHRgYWFBYhEIkgkEkxPT4NhGCgUCtqDMRgM0Ov1KCwspEYPRELaarWioqICfr8f7e3tMJlM9Dew2WwsLCxsiVlEIJfL8fbbb2N5eRmlpaVUqmEH2P2B/D//5/+8aUa6HWQKbGV+JqmxkwAnEAhw7NgxyiTgcrlYWVnB/fv3MTw8TCmLJLPbTkBks9kwGo0oLS2l4/pOpzNngF6drZOafjAYfOJaPZF0JawYo9GIiYkJ8Hg8aLVaXL9+HYlEAiaTiRodDA0N0Yx3vQVlK9cqV6NvpyDSAbFYLKsMR2RGyd+Q7JrUL7cKjUYDvV4Pl8uVtRshWK3xQ0AWTQKi8eH3+7M00IlgGRFyIosYGdbaDjU281xudl7Jwk6G2c6fP4/u7m6MjY3RwRkej5f12zJLJyKRCOfPn6cUylAoBLVaTb1ah4eHs+rh8XicmqXcvn2bUgLj8TjOnTuH6upquN1udHV1obe3FwzDoL6+PktnfCMQ7XRyjWtqatDS0gK9Xp/1d2NjY+js7MTc3BzdnRKXIsJmImUgHo9Hzw9hQcVisZwDiRvhzTffRE1NzZb+Ngd2fyD/2c9+tmk3nfBDiQbzdhtmuUb0ycPEMI8V8siWmFxQALS7DoAa7ALZ2t3bDVLkAcq1pSfSoktLS5BKpTh06BCWl5cxOzsLp9NJDSHm5uY2bcLlQq765Gpam8lkQlVVFRQKBe7cubOh9RgJcGq1GiwWa8PsLfN9mZk5KSloNBr4fD4aSEmj6UlH1DUaDcLhMP0cPp+/JtBvlSO/ETLLbyR4Z2qskx2MTCajAleZTX5g83H59e5xIh1BgtZ6f58pykbovolEgjLEMheUyspKnD59OsstazM4nU5cvXoVk5OTEAqFqKqqQiKRQFlZGWQyGd577z1Eo1HIZDLs3buXmmpMTU2ht7cXqVSKGkE8fPhwy9+biUzCBIA1v580mHU6HdV1IfdG5nXKNQtCPlOpVOK1117DgwcPqHz2xYsX0dDQsKNjxtchkC8vL2N6ehq3bt2i2hXV1dWw2+20/kw0gYkP4+joKGpra9Hc3IxPP/2UTgiy2WxUV1ejpKQEnZ2dlKtMlAsjkciWM7WCggJqj5UL5eXlOHz4MHQ6HZWsdblctKFCtmjrZfNWqxUymQwjIyM5AwjRiDh69CiqqqqQTqdptzyVSuHq1at49OhR1gDKvn376CCGUqnM0oTeaZAiwl9TU1OU5ra0tAS9Xg+9Xo/79+/TRYUMAm2H906y1Xg8DhaLhdraWjQ1NSESiYDL5eJ3v/tdVtZLtLpz1dPJQ0zOuUAgQDKZhFwuR0VFBQQCATo7OxEMBmkDPRgM0geZZGdCoRBqtRo1NTWorq6mfYhUKoXKykqo1WrMz8/j0aNHdJjlRQHJWokgG3nNarVmSWFIJBJUVlZiaWkJdXV1aG5uRiAQAJfLxW9+8xtMT09DJpPBYrHgwoUL4HK5lDFDatTEB3VwcBBOpxP9/f3gcrkoLy+Hy+XKKYZXU1NDHcEICGvHYrFAqVSCxWKhv78fDocDoVAIJpMJoVCITgdvZ3dMFliLxUJNV5aXl9dNvnIlZsXFxTh06BBKS0tpFp+pld/R0YG9e/euK/m7Bez+QP7b3/4WnZ2dAEBrVg6HgwYtUnYhAZjFeqySdujQIfrgErs44tDNZrPR0NAAjUZDld8IiF4EoSvxeDwUFRVBKBRicnJyQx4xi8WCwWCgUrtzc3Pw+/00q4zH42htbcXhw4cxPz9PzRpI95yosT169GhNLV6lUtEJvMzvW12PJwMgNTU11NGIjKmvzpSfBE9a6uJwOCgoKKDmy+tNK0okkjWZZCa4XC5aWloofTQQCMDr9UKn08FsNlNOtdfrXbOzI0GNnIu2tjZaA19cXIRCoaB2fH19fRgYGIDT6aRNW/L96XQaAoGABrOnOaBFtN3JuSHnY/Wuz2QyIRwOU+cawsYg/qWbNcvJgNJm2ihCoRBisZjOKZChGnJOysvL6c6J3GeZ30topsSOUCwW03OWKbdA1BxjsRiVqc4Ei/XYrk+v12NiYgIikQgGgwEAaBO9u7sbhYWFOHfuHCU23L17F8PDw09cppXJZHTHWlFRgcrKSto4DYfDVPecGItfuHBhTYlnG9j9gdzv92NpaQmLi4uUD0y0l1frYZSXl8Pj8cDlclG9g+bmZjAMg97eXty7dw/pdDpngwx43Fk+ceIE3VaOj49TM+DMjJXcjFwuFxcvXoTZbIbT6cTExAQmJibgdDohl8thtVphMBgQCAQotW9sbAxKpRISiQRGoxHpdBrd3d10gSGC/06n86nUwQlrx2w2g8fjYXJyEqFQKGfQJAuRw+GgTB8iOaBUKlFeXg6FQoHPPvsM6XQafD5/yxoYTwOZwYgwCDJlSIlMgUqlwsTExI49XldjtXHJdkBYHmQ61mg0Uscqr9dLmT3EWcfpdMLn81Hj79Wora3FxYsX4XK5MDExQRksxBAi83u5XC4sFgsdPiOem5kgQ1Fb+W1P2ssA1nLzeTwezbKVSiUsFguMRiM+//xzeDweWCwWmM1mWCwWFBQUUBkMlUq1JsMNBoP4/PPPaUP28OHD2LdvHzo7OzEzM4Pp6emcnqK57l+dTgeLxYKuri7aYCbnjpitbDWO8ng8nDp1asv+oDmw+wP56OgolpaWYDQaYbFY6NaW+A/Oz89T0R0CqVQKPp8Pj8eDysrKLL4okXwl+uBku0x0MIhxBJ/Pp8bDRFsjc5Rfq9WivLycGhKTWjkAOg2WC2RhCIfDsNvtSKfTsNlsdKglEonkHN9+GiC1PVJ+yazZZhpcGAwGnDx5EjabDY8ePcLVq1dRV1eH06dPQyqV4sMPP8Tk5CQtGeU6VjLdJ5FIsjIqMr2ZSwNnq3gaAeVZYb3AkCnwJRKJoFAoKEWTmBITCIVCms2RGvVGphTFxcX0nvV6vRgcHMyqBROt/EyoVCqYTKY1ipjkWKPRKDVfEAgEa9hYWwWpG5Pkh2EYFBUV4cSJE/B6vfjggw+yfhdx5yG9EKPRiOrqahQXF9P+weoBtunpaXzyySd04SPspI30e0giNTExgcbGRpw9exb37t3DgwcPsq5F5r1G+PfpdBpyuRy1tbU4ePAgent74XA4KDuMsI8ycfr0abS1tW37/JHTmPPF3RTI/9N/+k/weDy0qSIQCKBSqSgjQSKRYG5uDqFQKEuTfCvIvJi1tbV0gGg1WCwWysrKcO7cOchkMnz++ecYHR2lfFiRSISzZ8+itrZ2jQh9KpXC3bt3qeUcwzAIhULweDy0uUVqvET4yWAwoK6uDjdu3ADw+0EjLpcLh8NBJ/NGRkZyZhjke4HNdcU3AglKBQUFO9K0ycTTYh09CQhDYqNjIVOvpDlIyhgbaYaXlpaiubkZ5eXl4HA4VHRpenoaHo8HwWAw6xpoNBqo1Wqw2WyqGAiAlt9WfxeZaJRIJJQOS0AUEePxOP2OQ4cO4eWXX8b9+/dx69atrEzdaDSioKCA2r+R80JKW4SRREo4qVQKUqkUhYWFmJycpDVgo9GI+fn5LS2omc1BuVxOh/jC4TC0Wi0ikQgdQJqfn0ckEoHFYgGXy8Xw8HCWoJbJZEJhYSHsdjstY5DztdG9zuPxoFarweVyqaR0Zqwg7yX3/Hr3iEqlAp/Ph0QiodPDVqsV/f39tMeg1+tx6dIlCAQCuN1umlDK5fJNz9V6pzDni7spkL/00kt4+PAhTpw4AaPRiGQyiYKCAkgkEgC/d7wm+igbYSdBjcPhUDs54PFCQjJ0QsFaPd5MhgQIv9Xj8cBkMtFRbeLgU1VVBbVajWg0CpfLhUQigZqaGqTTaYyOjkIoFILP54PH4yEajUIgEEAkEqG/vx/JZJK6jRMZW4/Hs2HAWa8O/SIE2ecNMm5PHng2m422tjbU19djfn4eU1NT6O7upjVn0gDNHNMXCoUwGo1Qq9UoKSmBRqNBT08PBAIBbDYbRCIRHj16hPb2dppp9vX1IZFIQCqV4ty5c3Rcn9SXP//8cwwNDaGxsREcDgdyuRwymQxTU1NrejbkOairq4NAIMD8/DysViuKioqwvLyMvr4+6iAFPF4ESktLaellaWmJuvbkAukpSCQSnD59Gjdu3IDdbqf0VVJC5HA40Ol0W5JMVqlU+OY3v4lgMEipsH19fZiengaHw4HBYMCnn36aJea10b1qMplQVlZGXZEMBgMikcga28RcIDIEcrkcDocDUqmUTpGSBABYy3RhGAZ8Ph9tbW1QqVQoKirK8hMmU6CrvX63gd0fyP/jf/yP+NWvfoXx8fGs12tqalBaWorPPvsMBQUF+OY3v0mD+3pjwlsBOfEbmR7vBOtRllbjRS4bPCnYbDZsNhste5EAMD4+ThegXNeMLEKZQzdf9TkiLKHMkpBQKNwy4+fgwYM4deoUgMfTxx999BFCoRDkcjlEIhE8Hg8SiQQKCgpgNpupqqDH48H9+/fXbU7n0kEnWM1j38q9RcoSwO9rwRtBr9ejqqoKQqEQXq8Xo6OjNGiWlJRQTrnb7UYoFKKaKOslFZllPrKD3UjEbqu/KRe9uLKyEhwOB4FAgN6Huc6zRCLBSy+9hC+++AIikQjNzc2wWq1YXl6m0h2rvy9TchcAjh49imPHjm14nBv9hJwv7qZA/uGHH6Knp4fqh7DZbExOTuLevXtIJpMwGAxwu90QiURobW2lN6/b7YZcLseePXugUCieZDXcEtbLagUCAaRSaRZzZDUnmWh/ZLq5ZN7QZAhhPeRqIG1HvfFpZuQcDodS0MhwC4fDQV1dHSYnJxEIBLBv3z5otVo6tXnr1i3weDxcunSJqheWlZWBzWZjYmKCblndbjfdGWUq55EHh/RRxGIxxsbGMDU1tebcEQ43wzA4deoUtcbz+XxUDmB+fn7HKpSbCW3tZFfI5XKxb98+So+bnJyk9Dy1Wk3d7hcXF2G32zE7O0uboFwul97/y8vLKCoqgkqlosdBjE8IQUCj0cDhcOAb3/gGTCYT7HY7YrEYxsbG0N/fD4FAALPZTE2RM0H0YoqKipBOp9HZ2flUkyHgcVCNRCJgs9kwm82UQktAWD5EoXG797Ver4fNZoNOp0MwGEQsFkN9fT3UajVdWEj9fnh4GMPDw1syjqmvr8elS5e2dSwZ2P2BfHJyktaYAVCaUV9fHyYnJ1FfXw+n04lPP/0Uk5OT9MKtZrao1WrU1tbiyJEjdBtIHGTYbDbOnj2LUCgEl8tF64c7zeqfBog2B2Fe8Pl82Gw2lJWVwePxwOv1wuv1wul05sw2hEIhWltbYbFY0NHRgbGxsa/kuMmDTITKiLofkQ7NJVFgMpmwsrKyJUqkVqtFQ0MDampqqA/n6OgodWQizBDgsTqgUqmEXC5HKpWiw03Ly8trsig2m42ioiKo1WrKMiGmFVarFdPT04jH41nSuKQRTvokKysrT7RTWD2MRBZFv98PsViMZDIJlUqFsrIyWCwWOJ1OdHd30x6STqfD8vIyZb/kQktLCwQCAQoLC1FeXk7LBf39/fjggw/o4qhQKCCXy2l5iMViQaPR4NKlSzAajdQPgJRBuFwu5ufnIRaLqa7Jnj17qLha5qJLHKCeZH4hF56kH0RgMBhok5/QJEkA36o95GoIBAK8/fbbsFqtOz2s3R/IP/vsM/T29qK5uRmVlZWUDzo4OAi/359Vh1teXqamtnw+HysrKxgdHUUoFKIuIKSR0dTURB9a4pZCpgUJGIaBXC5HOp2mQSazTrdTK69MZGbPhOUhk8kgEong9/shk8mgVCrh9/sxNTW1pRsp87hyjYkTg+Jco+pPgx9OzAcMBgPNFFdWVlBWVka1xgsKCiglbj1kHkuu+qTJZEI8Hl8zvk0mMcnfrg6ufD6f8r8Jq4ZwrjMNLEhZIPP8EX2T9RYeoVBIGSrE1EIgECASiaCnp4eeI6K7sd4E7pNeB6PRiJKSEqRSKXi93qzdDAGZObBarSgvLwefz8fMzAxu3bqV9bdyuRxvvvkmurq6KEuJaNiT7PzatWs5nwXCmiEUx9V6NxKJBMlkErFYbEPZhhe1j8PlcvHd734XDMPgs88+g8PhgFwuR319PaxWK3g8Hr744gu88cYb25qCXYXdH8hv3bqFnp4e6r/HMAy1CCPj7OvV3Eg3n4jxxONxuN1udHd349GjR1k3Hp/PR0lJCSKRCMxmM0QiEe7fv4+amhqcPXuWahoTbRVCzRKLxZTmRGQtc2F1hv0kID2A1ZIBXC43J62QfP96TJbMMkUuiMVipNNpSssiNnTk4Vs9cJIp0yqRSHD8+HEsLCxgeHgYXC4XarUai4uLdBxboVBAKBTSh1osFuOll16CXC7H7OwsOjo66O8lDbWlpSV6LgUCAcrKyigDZKsmI9sJDusJgJFrsFrQibyHOKxLpVJqK5ZIJDAzM7PtwLSV492IKiiTycDhcKgAG/FBJc8BKVuQGQFSuiBlGvIZpCS2emhNLpfTuvBG1+BpDKRtBjK9qlarcerUKVy5coUuyIQCS9hEIpGIxpCtXpM9e/bAaDTiwYMHSKVSVPQt8z4ksw4OhwOXLl36w9Za+clPfkLpR3w+H1qtFm1tbaioqIDX68U777yDRCKRJaLP5XJx+vRpKJVK2mAkNT5COSIaKtFolIphEeU0MmRiNBrhcDhw4sQJnD59GpWVlRCLxZiamkJVVVVOoXi3243r169jfn5+Te2MDAX8+te//spKHcDvM/RcCnLA7wM+cc0hNyaQHTwy+fmZ7yUj9NuBUqlETU0NCgoK6HdGo1GqXEc0vwkIbTMYDEKr1YJhGPT390OhUKC4uBgOh4OyPwKBABQKBZ0enJ+fp0JnPT09my5cXwXI4ku27GTCNNf12cpnZWp6P+3je5J4QYgDmaWVTE0dqVQKnU6HEydOwOPxYHBwEHa7HQaDAaFQKMuMfL3rJhaLqYzs6t3TRsdOdlcSiQSxWAyzs7N0BysWi2E2mzEzMwOz2Qy5XI7+/n6aGG3lnGRqs5w6deoPm0d+79492O12yqFeXl6GXC6HQqFAJBKBy+VCQUEBrYOSoEV426ths9nw+uuv4/r169SDMJ1OIxgM0osYjUYRCASg0+lw584d3Lx5M+e28aWXXsK5c+dw8eJFFBcXU7sw4PGF9vl8WFhYwOLiIvUTLC4uRlNTE3Q6HXQ6HRYXF/GrX/2K2ohFIpF1a3GryyQEqxtsEokka3HbKjI5tCUlJeBwOJibm6NUOxaLBYVCAYFAQIPqs9zyqlQqtLa2or29HZFIhGaALBYLFosFDMPQpurqRZPNZkOn01E2CAHJBrfi9EQC5JPa/n3dIZVK6W41s0dDXKgYhkFZWRn6+vq2JHJGSomZ8sOrzz/Zfa4e/1epVGAYBh6PZ9uWe2RSWaPRoLCwEBqNBisrK+jv70coFIJWqwUArKysrGuEsfozCVb7jG4Tuz+Q/5//838wOzv71I6DiP4vLy9nTbCROh2pZ67OJKLRKBwOB1ZWVmAymahP5dLSEpXMJCYKsViMUssqKipoPZSYTWS6nSSTSSrgJBQK1y3NrAcej4cTJ05Ql5xYLIaGhga8++67WF5epqWn9ZDLFCNz7H4jtbjdiq0sPpl/Q5yRtmoRl8fW8LyptqtVIaVSKUpKSqjbFDk2hUJBh6PWO16bzQa9Xo+VlRWEw2Eq1Ldv3z7odDqUlJRAKpXu9FB3fyD/H//jf6xhGGQGwNWvkzH86upqOk0lEongdDqxtLSEe/fuAQDOnj2LyspK2O12XLt2jVIAibXZVrPZQCCAO3fuoKenh+pHEz1jUkMuLy9HaWkprdmRgE0c5nd6PYhbyXZBts2r7cdWv5bHWhB9j2dRmllPfpmUCwHkFG17lgHxRfKoJXMEJOki2Oox5rLY2yoyacCk3wWAxgmr1Yrvfve7CAQCCAaDiMfjuH79Og3o58+fR0tLy7a/91+x+wP57du3ce3aNXqDl5SUoKamBteuXaM3dS5n7/r6erz++utrRuYzs8v1QFTdxsfHqfPP+Pg4RkdHcw5Y8Hg8vPnmm7hz5w58Ph91dB8bG6Myum63ew27gsvlYs+ePbBYLFCr1ZBKpdTMNplMYnZ2FlKplKq6ZT7oxBZNrVZDLBZjcXFxSzdoptWYSCSiJalQKIRYLEYXI3KeSBM5V7B4UR7yXLQzLpeb86Fd/RueZAFTq9VQKBSUc545Jk9ApgNnZmboa8QhiZzjTB0aUorI7DvweDzqzbr692TumL4Ou6UnAdlhk+d7u4NCWwWR0iDm3jwej5Z/c/Up2Gw2XnnlFezbt2/b30UONeeLuymQd3V1YWhoCBwOB6Ojo1lynmazGT6fD8XFxTh27BjcbjfYbDbGxsZw/fp11NbW4sKFC1Qsf25uDiUlJWuC+2qQrFoulyMUCmFpaQkFBQXw+/2Ym5uD3W6nVLJMkOyJ0PpWB79oNIrl5WXEYjGIxWI8fPiQKrWt/pxMFg4ZdBGJROBwOGhoaNg2lSnXTUuUEf1+PxXU36yGaTabKWPIZDLB7XZjenp6RzTMTF2YnTxU62WwSqWS2nO1traCxWJhfHwcNpsNRUVFGB0dRWNjY9ZWl2EYurtxOBwYGBiA3+9HMpmEWq2GXC6HVquF1+vF7Oxslv7HVo4t0yyDjNITXRXSW8lkm2yWZW81C39WAT7Tz3W3gey+icvXRlCpVGCxWFvyGd0If/AZ+W9+8xvKNCAqg+Pj47SOrVarMTc3B6VSiba2NjQ2NkIgEOCLL77A7du3oVQqoVQqMT8/j0QigerqarzxxhvU/3JhYYEyTPx+P3w+H3VH12g08Hq9a25Wm82GeDxOxY7We1gy6Vy5QDRU3G43fD4fNTEgWs/FxcVwu90YHh7G8vIyrdmn02mqkV5UVETNDDgcDjweD6anp1FSUoKioiJEIpENRZ+eFoizOLGPczgccDqdUCqVdFAlMyuVSqU4evQoOBwONfmoqamh21LykIVCISwsLDwxI4MwHsRiMVpbWyGTyegujlDwAoEAZTUZjUb4/X4kEgmYzWZMTEzA7XbDZDJhcnJyjQiWVCqFWq1GKpWiLJTi4mLMzs5iYGBgjezyswCbzaZywxwOBxqNBna7HS6XC16vFzwej2qzb+dYiPb/k7oxPQk22v1ptVragCRuRkTsiwxqZbKCvsrj5HA40Gq1OHv2LIqKinb6sbs/kOdqdp48eRIHDx6kW6jp6Wl89tlnWFhYoPodZLKNmDoUFBRAqVTi3r17EAqFOHLkCB49ekQHH3g8HuU0m0wmiMViTE5OQqvVoqSkhI4nKxQK3Lp1C3w+H01NTUin01heXl6XJfO0EQwGcevWLSwsLFAVReBxpz8YDGYF7KKiIrS0tKCqqgp8Pp9ynslA0LMAybLJxCMR92ppacHU1BRmZ2e3VNe3Wq2UqUTMC5RKJUpKSjA5OUllh3OBjOyTRS/znBDOcK73SKVSOi+QSbHMhcxyTq4go1ar6Yg7YdSUlZXBbDbj5s2bdPfGZrPpwv0sQaYp2Ww2DAYDGIaBw+H4Sr9/vWQiky1FSkg8Ho+Kwm13Ed+u29eTYjPFRJFIhG9+85soKSnZ6Vc8u0DOYrHOAPhbABwA/8gwzH/Z6O93Gsh/8YtfYHR0FHV1ddBqtdQGisvlQqPRgMfjoaKiAo2NjfB4POjv78fS0hIqKipgt9uzrNhIXXm1epnJZMLS0hLS6TQOHjwILpdLTWLZbDYWFxezHuynxUMWi8WwWCw4ceIE7HY7ZmZm4HA4oNfrqUb6ZiwWj8dDJVNVKhXMZjN0Oh3Gx8fR0dFBHWOsVit8Ph/9HY2NjTh48CC0Wi09l5WVlRgaGoJYLMbp06fx6NEjrKysQKVSUcaGSCSieurA71ksIpEILBZrQwelJzlPRF/jT//0T+kEIilRyGQyKl6UyzwByE1XIyDuPuFwmA7UKJVKVFZW0gGw8vJyqFQq9PX1Ucs6kUgEvV4PNpuNK1euIJFIwGAwwG63rzsin0du5PK7XY3V13D1lOhm2Kn36mbaRSSAK5VKFBYWgsvl0mEjMm1+6tQpHDx4cFvfm/kVOV980kDOYrE4AEYBnAJgB9AO4DsMw6xV0vlX7DSQf/TRR+ju7s66WJnSoeuBBNvVnNT1wOFwoFAoaKBbPSFHGhzA7y8caYQCoJS99YJ8RUUFVX8jwvOZn8Nibd+BRqFQwO/3r3uDpdNpzMzM4NGjR1haWoJarYZWq0UsFkN3dzdSqRSqqqqwuLiI0tJSHD58GP/wD/8AhmHw9ttv48///M8xMzODH//4x/jLv/xL1NbWor29HVNTU7BYLGhra4Pb7catW7fQ29sLAJTHG41Gqd5GV1cXbT5mcsG3cx+SBnCmEBKbzaYToTabDQcOHKCywJ9++im6u7tpf2QrWH1MxNleoVBQR3mpVIrR0dENPzNz8Io0RL1eL83MFQoFLR9lZvO5zknmFOTq+YKioiIUFRVhYmICCwsLL0yz80kSnczzIZfL6c7X7/fj4cOHMBqNaG5uxszMDAYHB7f9m61WK40LZ8+epVpLxEP0/v37dEo7U67hSdDS0oJTp049yS74mQXyNgD/P4ZhXvnX//9/AwDDMH+53nueRDTr448/3lCT41mAbH35fD5EIhENwuTckYBIXsschgAeP8yZNfwnhUQiwd69e1FXV4dHjx5Rn0YidLQVyy4ywZZMJhEMBvHw4UNMTExAr9dTxb/z589Dp9Phl7/8ZVYJoqCgABUVFfjyyy/pa8ePHweLxUIgEEB1dTW6u7vhcDjw5ptvYt++fTTQXL16dUva1E+DBUMmTUnQJ44yW1nMtwOBQAAWi4V4PE4VHolnJ7l3iHcmAGrhR9yqCAiVbfVOUSgU4uLFi9BoNAgEAnC73ZiamqLTjtstNzxrVotIJAKfz6dGHDqdDmfOnIHFYoHb7UYymcSXX35Jxe82g1gsRltbG+bn51FWVgaFQoGenh6Mjo7SxUwul+PAgQNgsViwWq2QSqWYmJhAIpHAwsJC1iRmJng8HuRyObhcLiorK2kPhGi9f/TRR/Q72Gw2qqqqsH//fuh0OvB4PCoTQvjiDx48QEdHB2ZmZqDX6ykBoKSkhMpMfPvb38af//mf7/T0PrNA/k0AZxiG+ZN//f/vA9jPMMz/a9Xf/SmAPwWAwsLCvZnNrq0ic0Q/43NphqfT6SijhAzExGKxnDctofJFIpE1jcrNaGjbfRCIBksoFKICSpnmsushl1gQ0eDOBa1WC71ej8HBQWi1WsTjcWpMQOhwq1kwLBZrTaZKJiQJkyMSiaC3t5cOSfzN3/wN4vE41Yz48ssvcfv2bSo0Fg6HqQmHx+NBUVER5HI5pVWq1WqEw2FIJBLU1tbSoMcwDGpqaqhhBmHjZNbAM3dDzwPPIgg+De434UUTcxNy/smCQWQXwuHwur+BZPnEtCIUCmXRHhUKxRra7HYgFAqhUChQU1NDa/SVlZWYmJjAZ599RhvOAoFgQ1OLXJBIJKivr4fZbIbZbEY4HMYHH3wAv9+PWCwGmUyG2tpaurhMT09vuWGrUqnA4XCoTSHRUVGr1bh27Rr+7u/+DjKZDI2Njejo6FjTU8msGnA4HPz5n/85/uZv/mbrJy4bzzeQZ+JJB4IUCgUSicSmDzS5YeVyORW4F4lEMJlMaG5uRllZGRXUIeP48XgcH3744ZqLQbRHCJNiq3gWAxpk8dpougz4vZmt0+mEWCxGZWUlQqEQlWHN/DyDwYBwOEwbgH6/PycnHwAVuWpubqbNslAohMrKSiwsLOCdd95BW1sbXn/9dfzFX/wF+vr6qI9hLvD5fJhMJqhUKup4VFpaiqamJhQUFFD7LzJVSaBUKsFms6lc6+pFaisgjKUXpRSxE2y2uBBnKZvNhlQqhZGREfosrN4RkEU1F4gsBIfDQVVVFZRKJaVgEr35pwVCGX0WE7SBQICWVFgsFubn59Hb2wutVguBQACv14uCggKEw2F0dnbC5XLRWCOVSqFUKhEKhejnWK1WpNNpumNobGyEzWbDysoK3Y2QoUCBQICampoXb7LzqyytfPzxxxgbG6PymVKplPrulZeX4+bNm1nemRUVFdRQlgjxr4ZcLoder6eytiTwlpSUUN74Fs/DCx0McpUqJBIJampq0N7eDiCbffG0fw+Hw4Fer6cypoQKtrCwAKfTiTt37mBoaAh79uyhjcTMEgxpRJMeAsnsvvjiCzidTmg0Gpw+fRoikQjXrl2DUqnE8ePHIZfLwTAMpqam0NfXB5VKhYMHD0IqldJSyGb16J1iuw04AsIqUigU0Ol0EAgEMJlMkMlkSKfTlEJItMBJb0QsFqOqqgo8Hg9erxf37t3D/Pw8ZX5sxzR5O4siUXPU6/UwGo1YWFiguuU7+f0bHRMxjOns7ITD4cDExAQVR2MYBoWFhfB4PJidnUUwGITVakVtbS1YLBaWlpbw+eefU2MasVgMPp8Pn8+3bi2f2PBlmtQEAgFIpVIq8tXY2Ag2m41EIkETPqVSSedPmpqaUFVVhUQigdu3b+Po0aNZWkzbPQ05X3wKgZyLx83OEwDm8bjZ+V2GYQbWe89OA/mPfvQjOJ1OGAwGvPTSS6iurqaytMlkkna7BwcHcfnyZcjlcpw7dw43btwAm83G3r17qXOK1+vNaW67zm98bkFaIBCgubkZc3NzmJ+fX/c41tND3+jYRSIRZDIZjEYjlpeX4XK5ss7HarVDo9FIy0TEemx+fp4GmFzTjKtBTK5JmUcqlWL//v2wWq1IpVIIBALweDwQi8Xo6OjA8vIyNBoNHj58iLt378Lj8YBhGMRiMSwvL8Nms6GkpATT09Po7u5GOp2GSqWC3+8Hm83GoUOHYLfbMT4+TksHRqMRbW1tYBgGIyMjcLvd1CiCOMoTt3aXy4Xr169jcXERfD4fFy5cgFqtpln8zMwMBgYGUFJSgrKyMtrwXg1SstvOjoE0V91uNyQSCfbv3w+LxQKVSgW5XI6FhQU6RLSwsIDZ2VlMTk6Cx+PB7/ev22MoKiqC3W5HKpVCUVERtFotnV2IxWLUwYogV4mPXHNSAiHXXaVS4eTJk4jH4/jggw/oOWez2ZiamkJPTw9tSkskEkilUirqZjabMTo6it7eXuoJYLfb0dTUBKVSifb2diSTSToMd+fOnU13pIQ9REqOAoEALS0tkMlkcDqdiEaj0Ol0aG1tRSqVoqqZ5FkrKiqC1WrF/v37ce/evTVl2I2kFMxmM21sZw5NnT179sWc7GSxWOcA/Hc8ph/+hGGY/2ejv38S1krm+7hcLoxGI7xeL8LhMAoLC1FUVISCggIEg0F8/vnnNLhJpVKUlpair6+P1hC/6pFysVgMjUZDb6DV/3b69GnU1NQgmUxS66jR0VEcOHAADMNgeHgYKysrYLFY0Ov1ePnllxGPx3Hz5k24XC46vi0SibBnzx5YrVZYLBb09vZiYmICBQUFmJiYwMzMTM6AS6y7GIbB0tISksnkumUkNptNt59ki0mQmdnbbDY0NjaCx+NhYWGBLhikFkss7YRCIeRy+RqXI3JcW2GbkKlUsVgMv9+PmzdvoqurCzweD8ePH8fLL7+MYDCI//W//helBCoUChgMBrr19Xg8a+iCfD4fBQUFcDgc1JCZbJtJw45hGAiFQlRVVaGgoABerxd2ux1GoxGBQABjY2O0TyAWi2G1WlFYWAiJREJLZXq9nhpALCwsYGBgADMzMwgEAhAKhUgmk+ju7oZer8c3vvENes2NRiNGRkbAZrNRUVGBQCAAu92OlZUVeL1ecDgcNDU14cCBA3TH89lnn6GnpwdFRUXweDwQCATQ6XTw+XyIxWIoLCyETCbDb3/7WywvL1Njcw6HA6vVitbWVnR0dMBut0OhUFDROK1WC7lcjrm5OTgcDho4GYbB/fv3aUDbKIHS6/X0PpDJZHQnTZrGRLSqqqoK586dg8/no8ySmZkZqFQqNDQ0IJFIoKurC52dnVhZWYHVasWFCxdQV1eHpaUl+P1+arIcjUa3tcCazWYYDAaIxWI4HA7Y7fYs422ywOWKrwcOHMArr7yype/Kgd0/EDQ+Po7p6WmMjIzQpkum+M1OGmHbtWzi8XhobGxEdXU1RCIR3nvvPTAMQ7OJ7crFkhVdKpXi2LFjiEajMBgMlDt++/btrBuMLAYVFRU4ePAg/e0DAwN0O+lwOJBMJnHp0iXMz8+jsbERCoWCfkY6ncbs7CxkMhn4fD5u3ryJ6enpDRtZOp0OJpMJwWCQ2ss9CTbb5WxUu84MemQqU6vVori4mHLAORwOlpaW8Ld/+7cwm804d+4c+vr6MD4+jmg0Sq3njh49Co/Hk8WE8vv9GB8fRywWg1QqRWVlJfh8PpaXl/H+++/T0f/FxUXYbDa89tprcDgcePToEQYGBhCNRsHlcmEymWgwO3ToEPx+P51DWG8mgMfjQaVSIRAI0Pp1ZkZcUlKCmZmZrHOTWRZYTcdVKBSIxWI0cVjPAq28vJyWKAKBAJ2dWH3euVwuotEoFWkjCRGZKu7p6cHKygpEIhEOHTqEkZERqrdfVVWFN998k5pXx+NxjI6O0s+dnZ2FSqVCXV0dnaiWyWQYGBgAn8/Hd7/7XXR1ddFmPKG3JpNJCIVCpFIpqFQq+Hw+xOPxHVEfiQZ+JBJBKBTaUhKx3R37nj17cOHChW0dV+bX5XxxNwXysbExXL16FR6P56k2Q9hs9rraIkRLmZQSNBoNfD4f1b8meirxeBxSqRRWqxUzMzMQiURwu91QKBS0freTeiEZdDKbzRCLxXC73VhZWcH8/DysVisuXrwIlUqV9R6Xy4V//Md/pDegRqPB9773PVrKIO46xGyB3IiEltfX14ehoSHKsyUWeavxtIah9Ho9mpubafDwer2Ym5uj/HqTyUR3XQCoqmUqlUJJSQlKS0sxPz9PnVkaGxtx9+7ddWmqme8Hfv8glpSU0PO7U5SVlaGhoQFSqRQWiwWfffYZRkZG6G7BZDKBx+PRhZfooZP7yel0YmVlBRKJBBaLBWVlZbSeH4/HIZPJsLCwgK6uLpSWliIcDsNut2PPnj3w+/3o6emB1WpFRUUFZQmFQiHMzs5ifn4eoVCITi0rFArw+XyMjo5iYmIC8XicTsJaLBbo9XpotVpIJBKq++92u9HR0YE7d+7gwIEDdJdTVFS0pvQnEAhQV1cHnU6HqakpjI2NUUd58nc2mw1SqRRzc3MIBAJbzorlcnmWuiiRDWCz2bRks7i4CGBz/87NAjEplYjFYqRSqS3psmyEtrY2nD59eqdv3/2B/B/+4R+wtLS0IyZIJqWQlAUyHUdWQyQS4fz586ipqaEX+s6dO7hz5w5tHmUKyldWViKZTGJsbAxGo5HWe6PRKJ0KHB8fB/DYIuvixYu0ybcemyMXuFwudDodotEozYpVKhX27t2LoaEhJJNJnD17Fl1dXXC5XLBYLHjw4AF9P/ECJQMpMpkMLS0tmJiYyHJFyWz2EV9KovK23lTk6mk5shUnOwir1YqFhQXMzMygsLAQAwMDOR3qhUIhbDYb+Hw+9Vy12+2Ym5tDPB6HwWCAXC7H2NjYlrOhzEWLbNW3Ul4j17m0tBRHjx7Fr3/9a/r+TBOFXJBIJKiqqoLRaKSuM6FQCCwWCx6Phy5MZJo2nU5jZWVlDaNoK7+Py+VCLpdTg+adLEbEhSkSicBoNMJqtSIajdIMdW5uDouLi9vOQFfPVCgUiiw6H/luUjZZ/TyQpI3H421K2c2ETqejBhE1NTWorq6Gy+XCRx99BIlEgpMnT+Ly5ctIJpMoLCykFm9k0OtpM87kcjnKyspw8OBBaDSanX7M7g/kubRWiDjTysrKutm5XC6HSqWibIjMB2+9iyWRSKhzOeHeEv2Suro6rKysYG5ubsOsVCaTYc+ePXj06BGi0SiKiopoM43L5eLBgwdYXFykNzMpJxBKJHHu3s7NlPn3JAgJBAJIJBI6RZr5t3K5HD6fD0KhEOXl5bQGT45ncXGR7lRIUCalBYvFgpmZGQSDQRQUFNBhqEQiQbO/zGPP3PZnWpKRuvZmzVKiVEc+12g0UnGxgoICLCws0P4HGZl3Op1rjiMXMptXQqEQ0WgUe/bswfnz57G8vAydTke1Y0KhENxuN6xWK4LBIO1BTE1NAdhYAoD8jq32ZyorK1FfXw+bzUaZKIQbTX47OZ+5fiNxsid1f8L4UavVdLgonU5DqVQimUyCy+VCIBDQ0k5BQQFYLBYdUiKfQxYeQtUjshYymQyVlZV0PH1paQmJRII+MwMDA7S8Bayvd/MssNUFiHgRkPNJtGmell6LzWbDD37wg52+ffcH8r/927+Fz+fLaoCsBp/Px7Fjx3Djxo01E3KbYafj8U8KQmPKDOCJRIKyKcgNRUo3JPgRM9979+5tWrMmdXfy8G9HLlYikeDll1/Gnj17NpX9ZRgGLpeLik0RQa+JiYktPQiZMgerHYpIvfJpsojIDiTXYBTw+8ExvV4PtVpNf79cLqclnXv37tHAtLS0RHcymbocq6mdG7FXSL2XMC7q6+shFAqplg4Z9CLfQerEubBegOdwOKirq8PCwgLVQyfHttVzy2azodFo0NTUhOnpaQSDQfB4PMzOzoLL5eLSpUsoKSmhCQ+RPbbb7RgbG4Pf74dKpcL9+/e3VCLNlLE4fvw4xGIxLcGFQiFqDr0TEgO5/pkJVC7vU8LYIXMWhNa8nftx7969ePXVV7d9jOQQcr64mwL5X//1X29pa0WU5L4qxbOdQiKR4Fvf+hbMZjNu376NiYkJmM1mFBUVQaFQYG5uDjMzM2uEujIhk8lQX18PtVqNhYUFujMhptGEjbGT6ywQCLBnzx7YbDa0t7cjHA6jubkZDQ0NiEQiePToEeLxOHw+H5xOJ61TbtRwJrsDpVKJ5eXlTXVyNsJ6BtKZyHz4CwoKYDKZUFVVRbNHnU6Hd999F16vFz/4wQ9oI1QoFMJut9MGMpldyATRJOdwOHQLT0oRDMMgkUhkBQKhUEhFlAi4XC4dqiJCXSSQZAbY9X4bWRDYbDZd5LVaLdxud87SYW1tLQ4cOID333+f3lNCoRB8Pn9LJb7MQC8QCMDn8xEIBLZEGmCxWJBIJDmvOdHYD4fDtCyUywc2c6En108oFKKkpAQ2mw1OpxOffPLJGt9WArVa/cR64pmQy+XU5xfAhlOp5Lc0NDTg4sWLO/3K3R/I33nnHUxOTj6VY1jvxsvVGNkoS8mlokZoUkQoyW6379gYQCwWg8PhUMoV2RoTbZeNPjPTFYdM95lMJuzZswfDw8OYmJjY8dDLRuckV+mAxWJRBxVCPwR+r1OSKyNb/W+sf5U2JRkooS9uBqKFEwgEUFRURLf9IpEIqVSK1mrVajW6uroQDAah0+lyykHodDooFAo4nc6sYJFZYss8N2w2mypt5soUCZUx898KCwtz3jOk5LMeyCQv0d4mQk9E0XF1WZFALBajpKSEZtIikQgul+uJEqHV5YnMhu5qcDgcWqYDHl+v5uZmzM7OYnh4mNJqt7ro83g8VFVVYXJycl0PALFYjKNHj1KBLLvdvuPfCjy+5mq1Gh6PB1wuF4WFhTAYDEgkEhgYGKBMKoVCgddffx1Wq3XHX5Xzxd0UyH/+859jbGwMMpkMNpsNwWCQZp8EZWVlUCqVWP35bDYbUqkUtbW1qKurQ39/P2ZmZuD1etfVpG5sbMS+ffvomHh7ezva29sRCoXopNxGyKy7WiwWNDQ0UPaJ0+mkPn7rbQVX15RJdk0Cukwmg1gshs/nQzQahUAggEAg2FbzFMim+vH5fLBYrG0/xKuDN5vNhl6vp7XUSCSCwsJCcDgcurUGHgetgwcPQiAQoLOzE06nE36/Pyurz8x4Vz/Qq4MmYTOQ8tST3t+kL0CGZWw2G8rLy6HT6TA4+FjgU61WY3FxEYuLi08k6Laa6kZKMwKBAGw2m4qysdlsWCwWmEwm+P1+ylEn5hcbYTs9F9IvIPcUmYItKipCeXk5pQOTe1yhUFARtq2Ay+VCrVbD7XavEZrb7Lg2u67ksxQKBSKRyLZpwRt9t0gkglQqhVAoRDAYpEwroqOUGU/IjEDmdTl58iQOHTq040PI+eJuCuTvvfceJicncejQITQ1NSGZTOKLL75Af38/3T7namQajUa8+eabUKlUmJ+fx3vvvQe/3w+pVIpUKkUFoqqrqzE2NkaF6FUqFVpbW6HRaPDhhx8iGo0ilUrhxIkT2LdvH7q6unD//n34fD7atMkUlmez2RsyGmw2G6qrq7G8vAyr1QqNRoNQKITFxUXcunWLUgQzb+6NMpuvCluha4nFYgDImfFnljsys+qdsgRWH8/q/xcKhVlN0o1qypmfIZFIKGdZo9HAZrNhaGho01mFXJOQuTjZ27VHI8JwGzX2NwLRUiFZO2FWEVtEEqjXk/td7/oQ0br1giVpnmeeg40avluRpt4JtlKKW/336XQaer2eltbkcnnWvMV6z4JSqVy3vPPKK6/gwIEDO/oN+DoE8pGREdy5cwdzc3NUx4FhGFitVrhcrg0vfuYNmnkTKZVKtLS0oKWlJUv/YHx8HNeuXaPZPqFNke29TqdDIBDA1NQU1Go1FRMiSmsqlQqzs7MoLS1FaWkpVlZWsLi4CI1GQ2ViV4MwCbYjS0podWTrnrm9JwMeq0EC23qWY9sdktoMEokE58+fR29vLx3c0ul0cDqd68qLrgcOh0PropnXXCgUori4GAKBAG63G0KhECaTCWw2G19++SXS6TQV1spk8pCtMGFrkMZZZvNvvcakTCZbw4jJXKT0ej29f6qrq6kqZ64ARhIBcj23E8ikUindqRHqpsViAcMwqKysRCQSoVIDuXZrCoUCf/Inf4JwOAyxWAypVEpH9sfGxjA+Pg6/349gMAgulwur1Yp9+/YhEAiAxWJBo9Hgzp07mJycpCWGRCKxJQqkSCSCRqOB3+/HwYMHMTs7i8HBQWqosp7WEdktkB0KWVzXK+ttNc6RbNvpdILP50Ov19Newre//W1wOBy6I19YWKAT5QUFBQiFQhgYGIDBYEBdXR0t12i1WszMzNBzX1FRkTWgt03s/kBOMDMzg/b2dszNzWXdmJkXcaMVn8ViwWg0YmlpCQzDoKWlBcePH6fqegzDYGxsDPfv38fU1BR4PB4MBgNt7K0X5MgY9XrZXibV6tChQ9BqtZS/vVk5ZDsiRpkTrhwOh5ZzioqKMD4+Dp/PhzfffBM6nQ79/f24evUqPa6qqipUVFTQskE6nc5yE8pEZj+Bz+dn0bU2yhi38mBJJBIUFxdDIpGAzWajvLwcoVAIo6OjVJ51cnISMpkMyWQSU1NT9DdIJJKs7Wzm8M/zRq7hM6Idkhm8N2JmbQdarRbl5eXo6emh6pZVVVWYn5+H1+ulpSpStlMoFDh79ixKS0sp3ZI024PBIHp6eujiRFgemYNVmUNvJpMJhw8fpho2gUAAHR0dtP6+OmlZzRwhMxPkvGg0GirJS3oSJGvOTD4IlTUXBZT0LKRSKZLJJN1NE30aYGv00IKCAojFYiwuLiIcDoPP59NJY41GA7PZDJPJRA0qlpaWIJFI0Nraiqqqqk3ZXxtg9wfyVCqFO3fu4MaNG2smyGKxGEQiEZqamjAxMQGv1wuZTJbl8qPX6yk1LhfIFpCURCQSCRVgItrm64EED51Oh0OHDiEQCMDv98PpdFK/yfn5eUpZIpQ3EtRUKhUikUjWsRUVFcHn89HMJvMGy7RT02g0eOutt9DR0YH+/n76GeSzKyoqwOVyMTg4SLU94vE4JBIJpS1arVYIhUJau84E8ZwkjiwMw9B64PT0ND3fxElpenoaBoOBMkC2A7IgZC6GmXS8JwHJ4ta7/qtdlggFLZ1OQyKRQKfTIZlMwuVyrSkZPQ21xPWO2Ww20wxZJBJBp9PB6/WuCfRkgZNIJNRW7EmxXlBb7VNKGrqkpl9YWIhEIgGHw4FoNAq9Xp/FQ98KiNSrwWBAMpnE3NwcamtrKWWRSCBEo1GqYRMOh+HxeDYNxmKxGN/97ncRCARw9+5d2tgmDXA2m42amhqEQiEoFAowDIO+vj6aoJABJZlMhuLiYkQiEUxOTmYlDZnHkFnWydfI33sPAwOPRRUzsxixWIympiaMjY1l3SgKhQItLS2YnZ2FVCrFvn37MDMzg7GxMSwsLCCVSm27hECGUng8HjgcDl5//XU4HA7cuHGDPli5GixqtRoCgQAOh2PDbJTP56O1tRXHjx+n2QYRNSKj2oReyTAMuru7ceXKlaxsmGh5i0QifPHFF7SheuTIERw8eBDhcBi/+93vEAgE1mUnrGZIkBFliUSCoqIiVFRUQKPRUFlhnU6HyspKumAQ0aOJiYkdmeauB1K2IgtUe3s7/H4/lEolysrKYDQaAQDz8/OYm5ujDeBco/e5ar7EVSjXfUEYShqNBmKxGEajEYODg1m7qbKyMsTjcWi1Wuzfvx+PHj2ii+Xy8vITjf+vLnltl0+v0WjouPzzpObqdDrs2bMHqVQKKysr1EfW5XLh888/h0QioaPwRABPqVTitddeQywW+/+396bBbV1pluB5AAECILEDJMEF4ALuqyguokTtsiVZki3bStvptNPl6uzs6pmYPxMd0d1RfzomYmKma6KnI6a6OiqzsypXt51pZdmWF0nWRkmUxH3fFwDcSXABSIIg9jc/yHsTIMFFJCWL9jsRDlNYL+5773v3ft/5zsH4+Dg9tiMjI+vSlMEMory8PFy6dAkRERGw2+1oampCf38/fY9YLEZCQgLttGxtbaULOaIfHh8fT6+VqKgoJCQkwGKxUFbQ2mNAdjIb3Uh+8IH8o48+gslkQmZmJm13z8nJWefGTtzBVSoVhoaGaJqBXLRyuRwajQYqlQoCgQAtLS1022kwGAAAo6OjIbnSjSCTyaghRbhiSjheqVAohNFoxNGjR8GyLL788ku6XVWr1ZidnUVBQQEKCwspVW4trFYrHj9+jLGxMczMzFB9DIZhMDg4uK7hhzSO5OXloaioCCMjI7h79y5iY2Nx8OBBOJ1OTE9P49SpU+jo6EB9fT01GSBehluldZ6GJsbn85GdnY2ysjJ88cUXmJ+fp1vlYNpkMLaigUokErpTmZmZWTfe4Pfz+XxIpVJakCLUQvLdRHdkaWkJPp9vHe2Tx+NRh/bl5eWwBbrExMSw0sMikYimTlwuF/h8PuWkx8bGgs/nw2KxgGEY6HQ6zM3NhdxUSaALR2mMjIwMkZXdChKJhGoW+Xw+qFQqVFZWYmZmBv39/bTzczOQmx9pVCPXwHYMjvV6PT3ns7Ky0NPTE9K9Tbp0116LRO0wXOGfz+ejsrKSLtiSk5ORkJCAqKgoen52dXVt22sAWJnXw4cPo6OjA9PT00hOTobH46HKkOEgEAhw+PBhVFRUwOl0wufzobGxESdOnFhnkvIU2P+B/Nq1a2htbd3wxCKr1ujoaNpqrlAocObMGUgkEvT29lJ7t4GBAczOzmJoaAgymQyHDx/G7Ows6uvrqVP7ZnOzluNM5GNJYFi7rSKt42q1GjExMUhISKDb5Pj4eNrBKBQKcffuXTx69IimXE6ePElXLOPj41heXkZdXR2EQiESExORmZmJgwcP0tSQ0+lEQ0MDPB4PysvLYTabYbFYYLFY1nWACgQCHDt2DFlZWbTo1NnZiZaWFrq7Ca7Ay+XydavKzSr0wF9Eh/R6PTIyMhAVFQWTyURNn/dC02IrAa9wzAmCjVbmxJbu1KlTqKurg8ViQUpKCpRKJfx+P2w2Gw2CRHd6q9wqsePzeDyIjIxEdnY2TCYTZmZmoNFoYDab4XA4UF5eTtMJROqXdBDuZr6IZj/pCiYCXQKBAH19fWEdochNhzgykYKqQqHA/fv3N2UmBf+baKaQ4uRaZpHL5aL0vo2YQeFsGEmPgsFgQFtbW4jy4UY3f5VKBYPBAKvViunp6ZCdjlQqhUKhgMPhgM1mC+ukZDQaqdNWVlYW4uPjYbfbKcnA5XKhtrYWLLtiYBEbGwuDwQCpVAqj0QiZTLbpcdoE+z+Q/93f/d22dBmio6Nx6dIl8Pl8DA0NUc2H7bSJBxcKeTwe0tLSkJCQgP7+fiQlJaGyshINDQ0wm80YGxvbNHgQca7x8XGqaU1aioORmpqK06dPQ6fTYXFxEVKpFG63G2azGffu3QubV5TL5cjMzIRaraYCRyRYASs7irq6OroFnZ+fh9vthlqtBsuyNN9KqJZA6MWnVquRmpoKlmUxPz+PhIQEqlWzvLxMW/3XpiBIh2F+fj7Nq/v9foyOjtJ8pt/vh8PhoL6NZWVl4PP5GBgYgEQioatE4pRDCl+EH97S0kJ15TcCKWjzeDzMz8+vY6IEn/dEp3tpaQltbW1wOBzg8XjUnq6yshIxMTEYHh5GX18fZWsQnRpg5UZiNBppAJ6bm8PAwAAOHz6M2NhYKvpFzBDkcjmUSiUNjqS+I5PJMDs7iydPntBmpY1WjhKJhNLhtqJTbif4BzNuSEqKrKpTUlJw7ty5dUU6n8+H7u5uLC8vw2azUds9r9eLqakpOJ1OxMTEUNaXUCikfrpE42W3zTgb/Q5gJXVCzqmRkRHExMQgLy8PBQUFlDkSCARQXV1N2U3B/R/hiqVxcXGYm5tDYmIizp49C41GE/Kaubk5WuAcHh5e9zknTpzA8ePHd/zzwj64nwI50VoB/rIlJLkvYCX3RlxF1gZLPp9PV+parRYxMTG0eNXc3EwdQ8iqODs7G6+88gqEQmHYsbjdbvT29qKxsRHDw8NISEhAIBBYlwMXCoV0++f3+6kNVLiTlxzwxMREXL58GW1tbVT4vr6+HrOzs0hISKA532DZz+joaBgMBgQCAZjN5rCskeCVhVgshsvlCinsbbQNJqu47W7Xg09cjUZDG7eCnyfFQbLC1Gg0EAqFtK08JiaGFpm32yQChF9xExB2ArH+CzbOSE1NxcLCAuUIazQaSKVSGozWgnTJJicnIz8/nxpqE/78Rpifn0d1dTW1ICTsis1AqIwymQwJCQnIzs5GdHQ0LfJbLJaQtvTgNvbgnaFQKIRQKNw09RUREYHk5GRMTU2tK6bm5uZS9cyioiJoNBqwLAu73U79L4Ph9/tRV1eHtrY2em3l5ubSY0rE1bbi3IcDucn4fD5ER0dDIBDQFOd2OfZklTw8PIzJyUlkZmaGNRbZCEajEZcuXUJzczMiIiKQnp6OyclJXL9+HT6fD0qlksosE0tDl8uFw4cPIzU1dVvfEQb7P5ATGVsAtMPM7XZTR+uvvvoKwArbg1CC4uPjYTKZwvK2w0EsFtMDnJaWBpPJBIfDgZycHDQ3N8NsNlOt8UAgAIlEgvLyclRWVoLH48Fut6O/vx+JiYkYHBxETU0NEhMTMT4+Ti+MqKgo6lJCTIuHhoYwNTW1aVOFQqGgkqfEmYfP58Nms4XlzpaVlSE1NRXffvttSMehTCaj2z2iWtjd3Y3JyUmUlJRgdnYWvb29256vc+fOYXR0FB6PB1NTU9RJJy0tDZOTk1CpVCgtLUViYiJtsiHsoa6uLjQ3NwMA1RlZu2sizVUkJxquKYo415AOUI/Hg8XFRbjd7nWU0NjYWBqwk5KSYLFYtvydJD106NAhiEQi1NfXw2azIS8vDyKRCI2NjeDz+VCpVMjKykJSUhJiYmIQGRlJ9d8Jq4gUR+VyOeWzh7thREREQKfTIT09HSaTiY5TKpWiqKgInZ2dlJWlVqtx6NAhSCQS6kmZnp6O+vp66voTfFOMiIignYlrkZSUFKKcSYLj3NwclZoNBAJQq9Xw+/2w2+1IS0vD2bNnqdrk+Pg4xsbGoFKpqCcuUULcCuRYk5Z3qVRK9cWJpC65Hght0Ol0hiiVbnTz3+iGLxAIaHrG5XLBYrGEeANnZWXB5XKho6Nj3eet/ayYmBi888478Pv9+Oqrr6j0AMFPfvITGI3GLedhA+z/QE5WvGNjYzAYDIiJiQl5nhxgUkhwOBz4/PPPMTg4SF2/CaXv8ePHISsOckCImUJw239wjjstLQ0LCwuQy+UwGo2YmJiARqNBWVkZWlpasLi4CI1GA71eH5IHczqd1OqK6HATXQuHw4Hc3FxKDezt7aXmFU8D0g4cruBIfp9cLkdRURFYlsXIyAhcLheOHTsGl8tFi6TEFDkYZGWXkZGB+Ph4aDQaREdH46OPPgq5OHk8Hm0dD2ZzEEOL7bRLy+VyWnTWarWoqKigTACv10uLsO3t7fSm1NnZCbPZDLvdDqVSCZ/PR11kiBvQ2os7XF6dsJFYlg17Q9nomITTTAmHjZqtRCIRBAIBbfle+11SqRTFxcWQy+Wor6/HxMQEXZ0rlUpkZmbSOSIYHR3FN998g+np6bDm4yqVCuXl5VAoFNDr9XC73fjHf/xHuFwuatBAAtnc3FwIT5t83tPKIAgEAuh0Oni9XjgcDni93rAr6KioKJw+fRpSqRSPHj2iKRrCWgM23n2RY0127OS1G91ENjquT2OcotPpkJWVRc+biYkJWCwWREZG4qWXXoLBYKAFWrKD2CH2fyDfLliWxd27d1FTU4NAIIALFy6guLgYS0tLqKurw8OHD+ldWyqV4q233oJUKsXy8jJiYmJQVVWF2tpaWjTx+/3r9BIISIALJ2hkMBjw8ssvQy6XU+aKQqHA1NQUrl27Rlu0w62onwWeltEQrLsiFAohk8kgFosxNTVFq/gikQhjY2PweDzUpWe7Jz/JM7/66qvw+/24d+8eKisrkZOTs6Pf53A4YLFYwOfz8eDBA0xOTuLMmTPo6enB6OgoIiMjKVc8XPAgxThywxMIBHA6nVhaWtrTTlcANJVE5ouwYlJTU2kjiVqthslkosFLIpHg0qVLSE9Ph91uh0qloudxY2MjHA4HUlNT4fF40NLSgq6uLkilUmRkZGBmZgYHDx5EXFwcGIbB6Ogobty4gejoaEgkElitVrz55pvQ6XSor6/H6OgoTCYTZDIZlpeXKf002AxiK8hkMrAsSy3YZmdnQ+ad1EGAlUWaWCym3H3yPYRUsHZXFS748vl8Wm8iAmLBOf1AIIDbt2/jyZMnIeknYOXYk1z30tIS7SfYjEW1EcixjIuLQ0ZGBvLy8kLSk6TDeIfY/4G8r68Pw8PDOHnyJDWoJQFkcnISs7OzUCqViIyMRGdnJzIyMqDT6RAIBDA1NYX+/n568A0GA5KTk7G8vIyFhQXk5+eDx+Ohrq4OZrMZ2dnZSE1NpYL5L730ElVKI6kbu92OrKwsdHV1oampCQcPHoRYLEZ7eztYlg2bq96u4A9xF9+suMvn82nD0tpAw+fzcejQIdr9uhmrZC3EYvG63DQxuiZNT6SQs1cQi8VQqVRQq9Vwu92Ynp6m9QSVSoXs7OyQHZjL5UJDQwPcbjd4PB4cDgfa29vpTSoqKopu6YEV7m5FRQVsNhtu3bqFoaEhqqdDNEeelglCugMJhZCkfp4WxDuV6O+oVCoEAgHEx8fD4/FQRxun00nTVn6/H0eOHIFarUZ9ff06yVo+n4+SkhKcPHkSfD4fnZ2dUCqVkEgk6O/vR0pKChwOBz7++OMQyixhl3g8nk1/C0l7kO9KT0+nBfpgkB1ycD1GIpFQ84q1AZIETr1ej6WlJUxNTYVouUilUpryjI+PR15eHsbGxmj6lHxHYWEhSktLkZCQQD97fn4ed+7cQXt7O31MJpNRauDaY1JQUIDKykqYTCbcuHGDFrmf9hgLBAIYjUYwDIP+/n68//77P2z1w48++ggDAwNhC2hrO7k2cx5Rq9WQyWQwm83rinzEHzMiIgKJiYnIycmBTCbDw4cP0dPTA7vdjpSUFNp40t3dTbesu121CYVClJSUYGZmBiaTia7UIiMjQ37r2u5Hoj8yOTkJYCXAkDymWCxGaWkpBAIBHj58uG6Ma7ePW52ofD4fMplsw1VqYmIizp07B5ZlsbS0hNTUVCwtLVE+ttfrxeDgIKVPymQy2jwE/IUPnpiYiOXlZczOzoYoQJJ8OTFsCGYYkK5ZnU4Hp9NJNXmIdyTJ25LfuZWCpUwmQ0RERFj96q1YICKRCAcOHEAgEEBDQwM9v3ZiEE7y1cHn9NrjRhhAa3dbSUlJVGtlLdb+huB/r223D/dePp8PkUiEmJgYDA4O0ufCnUPBXcxE/1wulyM3NxepqamIjIzE9evXYbPZEAgEYLVa6e8mKaDJyUn09PTA5XJRZhdRpJyamoLL5UJBQQG6urroPAgEAuTm5oJhGBrAKyoqEBkZiSdPnmBpaQkikQgKhQISiYQ2+hCQ4yWRSHD+/Hl8++23IWJ2CoUCH374If74xz9u2MUcPK9qtRrnzp37YefI//t//+/UwIDQ42ZmZmC1WuF2u1FaWoqZmRkMDw+HCOkQhgQRUrLZbJifnw9hfJBVHaEfbaZcuBtsxAAhbcALCwubBgmyFSW5SdKWTezIUlJS0NLSsmmAIlxgo9GIU6dO4fHjx2hra9vR7gEApasRA4u3336b2rDpdDoAoOkp8hstFgttyiCPBX9nZGQkzRmTx4mDE5mbnRyfyMhIFBYWUm/MwsJCqFQqREVFUVG0mpoa3L59GwzDICYmhqoFTk1NrWNZEERHRyMlJQV+vx9dXV2IjY2Fw+FAcXExEhISqDjY5OQk5ubmqAY4oVhGRkYiIyOD2v8ZDAb09/evq3WQYvHy8jJEIhEVcVq7IyA2hcE3e1Icl0qldBUaTqAr+LiTv3k8HvLz8yEWi2nhciPIZDK6OyWprO7ubipjEa4XRCAQ4PTp0ygoKMDi4iKamprgdruRkpKCO3furNMiIruStLQ0jIyM0N4P0pxFzKrXHqP8/HyYTCZ4PJ4tXbXWori4GEePHsXExAT0ej16e3tx/fp1xMfH48iRI2hra4Pdbg8xCidjLS0thcvlQltbG95//33o9fqn+u4g7P9A/vXXX6OxsXFbwWVtENoogK5dyZNtJdGOIJ9FmncAhOWCk4sjMjISKSkp4PP5mJ6exsTEBLKyspCWlobe3l6qmEa6T6OiojA2NhZ295Ceno6EhAS0trYiIiICTqeTCuULBAIIhcI91feIiIigHYo+nw9isZjS40jwLywsxNDQEGZnZ7fV5h3MEiCMg502s5B6BfAXrW7yWWS7vrS0BLVaDZvNRqlexOknGIR/T5qbyCowIyMDfr+fsnaCOzb5fD7y8/ORnZ2N7u5utLS0rBvfwYMHMTY2BrfbDYVCEVa7JtwcsSwLqVSKCxcuIC0tDbW1tTCZTDCbzYiKiqLsK0Ip5PP5KCoqQnp6Ol2Y1NfXU0GptTdlwuYJnnuBQACZTIaMjAwYjUaYzWYkJycjLS0Ng4OD6OzsxMjICLKysii/Pj4+Hl6vF3a7HT6fDzExMZQRdebMGWi1WiQlJa0rvAaDeJ4ScsLy8jI6OjpotzawohZ59OhRTE9Pg8/nY3BwEN3d3UhISKDNcT09Pet2DJstPtY+p9PpoFQqaeGVNHYZDAZIJBKaGpXL5cjOzkZNTQ1ycnJw9uxZSlRob2/HZ599Rj8zKSkJL7/8Mng8Hrq6uvDo0SP6XFlZGZKSkpCRkbEhrXkb2P+BvLOzE6Ojo5ifn0d3d/eGr9tKwIg0rRAXFtJd2dvbG2I0vF0GgkAgoPKowSt5khvbbKzBICeaWCyGRqNZ51Cz0eu/SxCH+KdZ3QSnQwjvOjjAkzztZjcKhmFosY/H4+HVV19FfHw8fY4UdUmBd3R0FF6vFzabDV1dXbTw5vf7KQc5+LMNBgM1g46JiUFGRgbS09MhFovp62ZmZuByuahyYE1NTQg9jTBR1Go1SktLoVAoqMP9xMQE2tvbqZYHSX8QaYC1ixCSfuju7qbn19PeEBMSElBWVobY2FjIZDKIRKKw3O/29nY0NzdvWAPRaDQQi8U4ffo0DAYDJicn8U//9E+Ijo5Geno6dDodDAYDVCrVhmOxWCyor6+HWq2G0WhEYmIiOjs7MTk5icnJyXVOYAzDICMjA2NjY3A4HFTzhPRUaDQa8Pl8mM1mSj8lK3IimRyMteQEmUyGgoICTE9P05u4SCTCyZMn8e2330KpVCI9PR21tbV03pOSklBQUIB79+4hISEBeXl5+Oqrr2gcOHHiBBiGwZ07d0K++5VXXkFpaelmh2oz7P9ADgDT09P43e9+B6fTCY1GA6/Xi4WFhS2DLsmvarVaGI1G6vxttVophzdc4BCLxdRrkbAeCgoKoNPpIJVKaSpmeXkZ1dXVCAQCtHAqFosxMDCAzs5OWCwWSKVSMAxDTS1IqkGr1SIuLo626U9OTtIgTvQhSDu43++HRqOhHOlgEA0Pm81GhbWI1jbJdzocjrDdmFtpYmyFvWiz38l3BLdsE/plfHw8lEolHA4HZDIZkpOTAQCDg4Noa2uj80jSSzMzM1AoFKioqMC//Mu/hKhNBqcrFAoFFQabn5/H4uIikpOTUVlZCZZlaU0jEAhgaGgIAwMDcLvd6OrqokyY5ORkylEm2KiDcK3c7VoIhUKaGiEpE7lcjsXFxZC6A/FIHRsbo6JqeXl5SElJgUQiQWtrK0ZGRlBQUID79+/DbDZTU+X09HSMj49T2uDVq1dpLYbH46GwsBAvv/wyxsbGqIqg1+sFn8/HG2+8Qa+xN954g3rQCgQCVFVVQSAQ0HQckSsm9SatVguGYWC1WkNcmtLS0lBYWIjk5GTweDyYTCY8efIEbrcbc3NzISmNwsJCdHZ2hs3zb9bCHxERgYyMDIyOjsLn8+HMmTO4desW/H4/zpw5Q3epxHSb5NGvXLmCpKQkjI+Po729HV1dXbTL+dGjR/SYnzt3DuXl5Rse1y2w/wP5Z599hra2tk1fQ1bSAoEABw4coC3l2wWfz0dycjKKiopop9fo6CiKiopoAFgrYmW1WjE0NISsrCyMjo6ioaEBIpEorCTAZh2IwQ0QRUVFiIiIQHd3N6anp+nKZ22hjNycXn/9dVqADYbL5cLVq1dDilHET5EYEl+5cgVSqRTAimqg3+/H8PAwzauOj49jfHx8TxQMebwVCzjSBONwOGg+PDIyEunp6VhYWAjRF98rkAJnsIY2WU0DoC3zMzMzWFhYoF6XxLjD5XLRVRzp2CWrr7VFw8jISIhEImi1WvT19W24e3qaGyCZu2BOd3JyMg4dOgSv10tZL2RhYTabQzTAs7KyMDMzE1L4XLvzZBgGly5dQlFRERiGoYU+YOWcJaJRUqkUo6OjaGtro8VpvV6P8vJytLa24s6dOyHHb+3vjI+Px09+8hPw+Xz09PTAbDbTc5lw4wOBALq7u9He3o75+XnweDxMTEysm0fCUIqIiEBOTg6ty8TGxsJut6O2tpYynmZmZlBfX7/uXA7HGScuTsDKLsTj8WB+fh6vvfYaCgoK4HA4MDY2BqPRiN/+9rcYGxuDSCSCUqmk+kl9fX1wOp3Izc1FZmYmGhsb8frrr/+wjSX+y3/5L1QHg2VZpKamYm5uLqwQlF6vx/DwMFVk26wCvxGkUilt0CCcV5fLRVUG7XY7BALBOtOFcBctYRxoNBpkZGSgsLAQExMTWF5eRn5+PqqrqzEyMkJd6snNwmq14uOPP6aCPHK5HDExMUhLS0NOTg4kEgllBASjt7cXzc3NGBgYoBeqWq2mpgFri1lWq5UGb7vdjrGxMYyPj4dsPyMjI6HT6ag8wHbST9sFCeRRUVEAVvKoRCI0WN9Zr9djZGRkU0357ZzTROlwZmaGOs2QmyQRPtrK2IHUKTweD90RkHNMJpPRFebaOQreRaxtEBKJRFCpVBCJRMjKyqLetIODgzCZTJiYmKD52XBWgBqNBgcOHAAAzM7OUvnklpaWdRTFcODxeEhJSUFOTg4GBwfR1dWFoqIixMfHo6WlZUt9eTIeIiGQlJSEubk5DA8P007W5ORkHDhwAHFxcXC5XDCbzZiYmIDb7YbX64XX64XH48Ho6Oi6hQuhqJLHCfmBYf4iYGcwGPDjH/84xPErGPPz8/jkk0/ozgJY6basrq4OkffY7FxSKpW4fPkyLVo6HA7U1dXRFBn5PRKJBBkZGejo6IBYLMa//tf/mi6adoj9H8g//fRT6lwTDsSHcDsrOVLMVCqVmJubQ1RUFD2BwoEcVJJ/JzKmZEVGVmzBUrnl5eUwGo349ttv4XQ6cf78eSQmJgJYyUUGF4QIi0IkEuH69eu0zZoEBr1ej5/85CdhiyR+vx89PT1Um2R2dhYdHR30hpeVlUXF7yMjI6n07sLCAqampjAyMrLO0FgsFtNVJ+FYk8am2NhYqrhI2rFJFyVxZ+no6KBbfnLzaW1txdDQ0K6Df0REBNUkJ99HDDyexnxapVLhypUrMJlMsNvtWFhYoIJgCwsLKCwsREVFBZRKJW1SIa34ERERNLCSot9mTI61QUEikdAdj1AopJx/lmVpEDhw4AAuXrwIq9VKVT2JbGp0dDSGhobw+eef02MjFos3FdAiOil6vR59fX1wuVw0BbWd3ZZAIEBJSQmOHj2K2dlZqjMvl8sRFRWFxsZGdHR0wO/3Iy4uDjk5OcjPz8fY2Bg+//xzSpslAZccu2CarUAgoDdItVqNrKws2m2rUqmgVCpDFi12ux03btyASCSCXq+Hy+XCnTt3qG59YmIiSkpK1q2ACQ02JiYG//N//k+43W4UFxcjJSUF0dHRqKuro5aB/f39YeeHx+PhwoUL8Hg8MBgMdCcArOxexsfHcfXqVTgcDlRUVKCmpgZqtRoffvjhD7vY+ac//Qnd3d3QaDRwu910tRzOO5HkrRQKBXJzc5Geno6YmBjcu3cPEREROHr0KD766CPMz8/j0qVLyMjIAMuy1Fno66+/piLzBoMBQ0ND9PO1Wi3VWll7gZItWmRkJDQaDcbGxiCRSJCWloaysjIkJCSgubkZ169fR0lJCYxGIz7//POwFDChUEj1oTfqdnS73fjkk0/W6YWIRCJ4PB7w+fxtp0TWWrcR/8a4uDiUl5eHqLyx7IqCIlk1SaVSSKVSyGQyMAyDmzdvwmKx0NU/UXX0er0wm81wOp2UhRIdHU0v8kAgQLvqpFIpFbkK9xuC5/5p2qm3C4ZhcPr0aTgcDqprn5mZidTUVLhcLlqUs9lstLC6lWnxdqita48DWVzs5Q4oNTUVRqMR7e3tUKlUyM3NRWNjI0ZHR+lvEIlEtCvU5/PRfgCdToeioiKqdRIVFQWLxUKlK0wmEwYGBkKOh1qtpiJhSUlJWFxchN1uB4/HQ0VFBY4dO7ab4BaCgYEB1NTUwO12011IZmYmysrKaOopGJOTk/jTn/4Em80GhmHwox/9CNnZ2fR5t9uNr7/+OqSRKByysrIot95gMNBd2d27d2mNbHFxkTOW+OKLL9DW1rahZoZIJEJBQQG0Wi2qqqoQHx+Pt956K6wxA4AQEaa1YFkWnZ2dVL7V7XbTnGB7ezulM4ZbwZO8KlFEc7lc6OnpCTF+DufJGOxyHhERgbGxMTAMg7S0NExMTFD9i7m5OToHwakHIHzOlayu5+fnqaHsxMREiCoe+R0ikQg6nY7qaxNIJBIkJCQgNjYWJpMJk5OTm+Z2eTweUlNTMTQ0RBt/SFpMoVDg5MmTMBgMlL0SDLvdjkePHmFpaQkulwterxfZ2dmQy+V48uRJ2BQBCShut5vKKZDdkkAgoCt44kC/lqmyVyCqksAKS4QYcvP5fDpuhUJBf2c4G7tnVTgO/lylUkl1vxUKBVXvJNrc6enpePLkCU1hiEQiWk8glm6bQS6XIyEhAX19fWBZFoWFhUhMTASfz0dBQQGAlV3op59+irGxMcjlcrz55pu76XgMC7vdjoaGBjQ1NWF5eRlqtRqZmZmIiYmBWCyG0WikqS63240//OEPtCgcFxeH9957j+5MCcuto6NjQxr0RjUwrVZLb9CvvfZaSMfpU2L/B/JPPvkE/f39YZ1fcnJycOnSJZoXI6vlXWgahGB+fh6jo6N49OgRJiYmaAOCVCrFuXPnIBAI6MEVCoXo7Oyk4ySKioTbvLb9Wa1WQ6VShViBkc43hmHoim8nCL5hkEJfIBBAUlIScnNz4fV6MTs7C51Oh6SkJNy7d4/6FBoMBkRHR2NhYQFWqxUjIyP0tampqZDJZNDpdJQpQYSylpaWkJOTg7i4uLCBerdwOp0YGhrC5OQkkpKSaIAnDAhSMObxeOjr69vWZ5L6A6l9rK0h7BTEz5JoYhPFTLPZTHcgkZGREAqFG+bkg9kzwePR6/WIi4ujPG7icUkKtoSqS3oAttNRulkxPvg1JM1I0iCJiYnQaDQ0VRfOrJtArVbDYDBAr9dTTviNGzewsLBAd61xcXGUXroX8Pl86OjoQGtrKzVwBlZW0RcvXqTiYC6Xi3ZANzY2IicnB2+++ea6cRDefm1tLQQCAbRa7bYkK3g8Ht5++21kZGTs9Kfs/0D+q1/9CmNjY9QEODk5GfPz84iNjd1tASEsyIXT2dmJzz77jLJhSO46Pj4eP/7xj+kFFIz5+XlaLPJ6vTT/GQxSFSdNHGtX1+GCiE6no/ow5GQUCAR48803AaywVLRaLRUEk8vlGBsbowwGctIVFBTs6CLxer27UW577piamoLP54NcLqdSu8R71OVyYWpqCjabDU1NTXSVuVGKZC2CUyBEFpZIEzxLED2ScH6Rwa8h3aPEWSoY5NwSCoWUBkh2KWSXSvwsBwYGKIOHdD8TkBQm2RHZ7Xbo9XqkpKTAarXSphriukPki4N3B0RTJ3iXSB7Py8vDkSNHwl5jO4XH48HS0hK6u7tx69Yt+rjRaMTx48eRkJAAhmHw6NEj3L59G1qtltZL1hprWK1W/PGPf4TT6cTbb7+Nq1ev0qa02dlZpKenU4aP1Wqlps8v1IqcYZgfAfhPALIBlLEsu63ovNNAvri4SFcvzxJETa6qqgosy1JVRIFAgLGxMej1erzyyiuIjY0FsHJiEH9AhUKBrKws3L59G52dnXuW0yTFHuLzGBsbC41GQ7nJRJSHjH/tCcfhL3A6nZQPTfSsw0GtVkMgEFAxpq2uFZIaU6lUsNvt64rupHPWbrcjIiKCFs6JRDJhBO31jYCkHoM1huLi4nD8+HE0NTXBbrfTYvtaI5S1iwkyJw6HAw6HgypkxsTEUGu81tZWWvOJj49HamoqBgYGQlgiwSB0TaVSSUXqCFOM7Kzlcjm0Wi31ZNVoNLQX4MCBAzuOCRaLhYrv1dbWwuVyQSaT4cCBAzh48CD6+vrQ3t6OoaEhpKen44033ljnt2m32/GrX/0KDMNAr9fTxV/wbjh4Hk+ePIljx47taLx4RoE8G0AAwC8A/LtnHcifB8bHx/H1119T01YiOzsxMUFXHenp6fB4PJibmwPLspicnNwyZ0g0iIOpklFRUVCpVDAajbRN2eVyISUlBR6PB2KxGJGRkdTRe2hoCB6PJ0QUi4BcpAsLC5idnUV+fj5KSkqwuLhIu+ROnz6N6elpaiCxWRs1QSAQwNLS0jPZ8TwP9PT00C3zzZs3aXoh2JOV8LPfeecdPHjwAG1tbbQVnjCSFApFCI98KwgEAhw8eJDuurRaLfLy8hAREUF1UsLtiEgen6ThiPqfRqNBYmIidbMhjBlghS9NUloEDMMgNjYWVqsVgUAAMpmMNrKUlJTQHUhcXBwmJiZCirHBMeFp8vWkFqXVaqkNXkJCAqRSKaXmAaC+tbOzsyGNS2uxkXb72jESv1wS8PV6PfR6Pd09Li0twWazITo6mnZNezwe2O12GI1GGphdLhd6e3upXACfz0dWVhbS09OxuLiIe/fuQafT4b333qO7L+K9Oj4+jtu3b8NqtcLlciE3NxdtbW3QarUoLy9HXl4elpeX0djYiMOHD4d0CD8lnl1qhWGYKuzDQB4IBFBXV4fW1lbKGyZa28QWjgTo4NXBWl75RpDJZJDJZDh//jxtHycXYHp6OrRaLU3bEE7xj3/8Y9qJCAD9/f148OABpqen4fP58NZbbyEjI4P6QkZGRsJisVAJV7FYjOjoaGpsDKxcEGtb0YnmAykOEoaIyWSCXC5HVlYW6urq0N3dDZfLhczMTBQXF8Pn89F297i4OOTn59PV0NLSEpxOJ7RaLebm5tDT00Pz1YmJiUhISIBIJILX68Xt27fhcrnoCoZo2RBJV4ZhMDk5id7eXjgcDhQUFCAhIQGjo6OYnp6mjKW4uDiIxWK0tbVhYmICTqeTyvAGC6NtB2QFlZ+fj5SUFOpoU15ejpiYGHi9XvT29kIsFlM3IrfbTQPF7OwszGYz+vr6Qr6XNHjNzs4iKioKZ8+e3dZNdCsEK/wBwMLCAurq6jAxMRFC81wbjElQJ12JOp0OAoEAPT09AFYCckFBAZxOJ/r7+ymzSCAQIDs7G729vTQvHxkZibS0NFgsFmqeTJrmyMLC5/MhIyMDOTk5WFxcpDlohmGQmZmJhYWFDfnpQqEQYrGYsqT2ughMiv8OhwMKhQI5OTkoKSnB/fv3KfOFgLT1BzdILS8vIykpifL6iVsRy7LQ6/WYmJiA1+uFTqdDXl4ekpKSoNPpNiRgbAPfbSBnGObnAH4OAHq9/uBa+6O9RCAQwIMHDyi5PzU1FVKplLa+EzbEdhxgSDOR3++HTCajOcdgFTzSQMKyK673paWlyM7O3vBgEbW/mpoa1NTUQK/X49SpU7SSDqykkerq6lBdXQ21Wo3k5GQUFhZuu6pvt9sxNTUFqVRKV2bXr19HcnIy1Go1vvnmm7C6HsEaFHw+H3l5eXRFFUyDIy49SqUSBw8exMTEBLq7uxEIBKDRaKgxwFpNC71eD7/fj7GxsQ2lhkkxrLm5GSzLhrCSdsM0EYvFMBgM4PF4SE5Opo5MKpUKZrMZdXV1OHLkCA4ePLjj7wBArcI6OjowNja2TguedB1nZ2dTi7GNmld2CuJIZTabt21uTBqB6urqYLfbwzpNBUOlUkEsFmNsbIyKmJHFC+HXE+55VlYWZfF4PB5qVkJ+N9HAaW1txfT0NDQaDXJzczE6OkplDwg1NdiJidQzFAoF8vLy0NnZSXdbpMmMdKgGF3uJhy+hugYjWKuJsMi8Xm+IrAJBUVERrcNIJBKqJU9YasB6Se23334bWVlZ2zomYbCzQM4wzG0A63u/gb9lWfaL1ddU4TmuyMnKeG5uDp999hlUKhVKSkrohD169Ah9fX3Uj3Kj3Fy49mRy0vD5fJw4cQJHjhzB7OwsqqurIZPJMDw8TD34+Hw+jhw5goqKinV5s2CwLIuenh7U1tbCbrdTbW6GYVBYWIhXXnmFFlG7u7vR1NQEk8kElmVRUFCAixcv7nmBkcjgEv42oeWRoG82m5Gbm0vt6pxOJ+bm5sDj8aDVahEREYGhoSFcu3YNNpsNUVFRyM3NhVKpRFdXFxISElBRUUGbj8bHxzE8PIzOzk7a5pyTk4P5+XkwDAOHw4GZmRksLi6ip6cHY2NjyM/Px8svv4yuri7cv3+fcpCDOf0ESqUSRqMRNpsNAwMDSExMRGVlJV3dLywsICcnZzcroR1jYWEBzc3N0Ov16OzsRFNT0zpRrMzMTMTGxkIkEiEyMhK5ubm0oWu3zI3FxUWMjIzA6XTC4/HQNMzIyAidfwD0xnv+/HnU1NRQ+dWUlBSIxWLY7XZcv34dCwsLcDgc61gwa2+0wdpC5HmFQoETJ05ArVbTzmiVSgWpVErnpLOzE59//jm9NnNzc/Hqq6/S/D3LsnC5XHj06BEeP34MYKVQWVRUhISEBMo+WguHw4Guri60tbWFpbCKxeJ11EqSltssdRq8GKqsrIROp8PAwACsVivGxsaQkJCA5eVlzM3NISIiApcvX0Zubu7WB26Drwv74H5KrUxNTeH27dsYHByEWCymRRFioxYMuVwOkUiE5eXldQ4gkZGRUKvVkEqliIuLQ0lJCZqbm3H//n0EAgEUFxfDaDRienoaZrOZNtsEiyf9/Oc/3zDPSWC1WtHY2Ij+/n7YbDaoVCpqQCyVSpGVlQWlUglgJS1x7do19PX1UWGugoKCkCacFxGkk3a7rAJyIRLWxeLiIuRyOQKBAMbHx2nAGBwcpNv96elpxMXFQSKRwGQy0e6+uLg49PX1rTNYOHPmDMrLy/ec9rhXWFhYwNWrV6lva7jiJvF35PP5yMnJQVFREaXqEXu23SIQCKCzsxNDQ0PU1YrP51PPTvKay5cvo7CwMKSI7vP58Ic//AGTk5Mh2vjJycnwer0YHh7edoct8BfNG7K4SElJoT0TFosFAoEA7733HvR6PViWpW5gCwsLaGpqQnNzM51HlUqFoqIiHDlyZMOiv9VqRXt7O1VrNJlMuHfvHux2OxQKBbKzsxEIBKjGOBkjuVGRaz94pR28MAxXWyAGMBcvXnyxWCv0Q55TIP+Hf/gHzMzMrEsHMAwDpVJJi0hEi8Fut1Pt79TUVLz++uu0FZi4zMzMzKC1tRU1NTXU+aetrY2eFOS7xGIx1Go1dDodzp07tykrxOfz4csvv0RbWxsiIiKQkpKC3Nxcqoq4FsvLy/jNb36D2dlZnD59GocOHXphg9BewOPx4M6dO9TMIi4uDsvLyyFbV3IhkFUdSUGIRCK0trZCo9FgZmYGycnJOHPmDADQvOwuCknPDcE3NLJjMZlMqK2tDVHlC1amJIGCz+cjNzcXZWVlkEqlmJmZgUajgcViQWtrK86cORPSLr4d2O12fPPNNxgfH4fb7aba7sHHweFw4NChQzh16lTIzsbhcKC6uhrNzc3weDxIS0tDaWkpzGYzzGZziNsP8JeAxzAM8vPzKRdeLBaDz+djfn4eXV1dNJWnVCopSSA2NpaaQhBPzPr6ekgkEspqmZqawvj4OHJycvDGG288VT0i3A6I6LgLhULMzs5Sy8nBwUFaCA9On22UoiWPXbhwASUlJds/OKF4JqyV1wH8PQAtADuAFpZlz271vp0G8q6uLszPz6O0tBQmkwkjIyNUQIqsUBYXF3Hnzh1awCwpKcGhQ4dCcpAsy6KxsRH379+nOcDgCjnJyRKNhw8//DDEL3IzTE1N4fr16xgaGkJlZSUqKio2XT15PB787ne/w+TkJN59912kpqY+9by8qAgEAhgcHIREIgGPx8O9e/eogpzdbkd+fj5iY2PR0dGByMhIqt1CKv/ACutEqVQiLi4OIyMjWFxcRE5ODq5cuUKD2vfppmez2WgxfHx8HA8ePIDJZEJUVBTNwZKifDhqK8OsaLy/8sortHCfkJAAg8Hw1GMZHx9HdXU1BgcHqRG5z+dDbGws3njjjXXXhMfjQVNTEz3OBBkZGThz5gyioqLQ2dmJurq6EMNxiUSCs2fPIi8vjy50vF4vlpaWqOnz73//e5rSZFkWMTExNB1IqLcWi2Vd4xxhspw5cwY2mw1tbW2QSqVQq9VQKBTw+/2IjIyEVquFx+OBw+HA8vIyFAoFbUraaNFGPHVlMhmsViuuXbu2zkowJyeHdkMPDw/D7XZzLfobYXJyEvX19bDb7bBYLGBZFpWVlTh27Ni6nGggEMCXX36JlpaWkK1QsEmzTqejcqolJSVbboOWlpbQ3t6O1tZWTE5Ogs/n47XXXkN+fv6611qtVvT398PlckGn06GxsRFmsxlvvfXWbgog3zkWFxdhtVoxOzuLubk5uN1u2glKIJFIoFarEQismFkT8wbScdrc3Ixvv/0WPp8PCoUCDMNAp9Ph0qVLEIlE1CotNjZ2T1gf+wEsy6K1tRVdXV0YHR0N2coTd5+YmBhajNdoNPj1r3+9rihsNBqRkJAAp9OJ2dlZZGdn4+DBg9u6CbIsi5GREdy4cQMTExP0PQaDAXFxcZQRpVQqUVhYCJfLhenpacTExKCpqQmPHj2C1+tFSkoKNZxIS0uD1+vFZ599RlOXpM6iUCig0+mQmJhIr1+73Y4//vGP0Gg0EAqF6OjogEAgwPnz52m+2e/3Y2JiAvPz81haWoLFYqEaOQRE7paYeGwFgUCAtLQ0pKSkUOVG4gxEpKB9Ph9SUlKQkJAAq9WKL7/8EqOjoyGNZcQI+969e6isrPxhy9gGw+/3Y3Z2FlNTU/jyyy/B4/GgVCqRkpKC0tJSmnsmcLvdqK6uhsVioVV8iUSCuLg4WK1WqgNy9uxZlJaWbnmC+/1+9PX1obW1lcoG6HQ6FBYWIj8/f90qnGVZNDQ04ObNm+tWUiQH+aKDZVlqcjs1NYXR0VFotVrYbDa0trbSrSMxQZbJZDh06BB8Ph8WFxepjyP5rG+//RY1NTUhlnJpaWm4cOHCuuPHYQUk7zo4OIg///nPNFDI5XKaV9ZqtdRyMBAIoKmpCdXV1VRjRiqVYm5ujjbryGQy6jkqEokwPz+Phw8fQiwWU87z9PQ0LBYL/H4/uru7w3YqAyv1p6NHj6KsrIwW6J1OJ548eYLe3l7q1KNUKvH+++8jOjoabW1tuHHjxrqColwuxwcffBD2XLBarfjDH/4Ap9OJvLw8lJeXh00nseyKhvrXX39N54oQCAhN0ul0YmZmhtKORSIR5ubmqEdrT09PiHfsWjN0Ap1OR7n9IpEIPp8v5DdFRESAx+Ph3Xff3dEOaRXfj0Du9XrxzTffoLu7mx6YuLg4vPvuuxs2rVgsFnzyySe0DTnYyYXYsRkMBqSlpW1aXCQSo62trdSwIjo6GgUFBSgsLNww/eL3+/H111+jubkZRqMRr776KiQSCdV8SEtL29Fc7DVcLhcGBwfR398Pq9WKpKQkyGQyWjA2mUwheWziZ8nn81FaWorMzEyo1WpER0eH1aZ4+PAhxsbGsLS0RPON+fn5VK+DKPJ9n1IlzxIOhwPT09OYn59HZ2cnpqam1qmAxsbGIj8/H4cPHw55b1NTExoaGqj5NbBSlyDNZkQugs/nQyKR0A5FsViM7Oxs+Hw+TE9PUyrl4uIimpubaS6bcNGzs7NhMBhoUCfic3/+85+pHIBKpcLRo0ehVCrR0dGB7u7uEPpfXl4ekpOT6aqYuF8tLCyguroaLS0t8Hq9MBgMePnll2nPRjDIYqK1tRX379+HwWDAT37yk22xwQiHfXl5Ge3t7bDb7SgtLaW7EZZl8eTJEwwMDFA/zsnJSXos5ubmsLi4SPPkP/jUSiAQwJ/+9Cf09vaiqKgIqampkEgk0Ov16w4IUS+8desWrZ6rVCrYbDawLAudTodjx44hLS1ty4Pp9/vR0NCAxsZGagablZWFwsJCpKWlbZhDI6uhuro6TE9P4+jRozh58uRzCVSEZkacVhhmxQaNNKzk5uZSWtry8jKsVit1XxGJRIiNjcXY2Bh8Ph/V7SBBQSaTQS6XQ6VS0YueGEKshdvtxqNHj/DkyROwLEtXjYuLi0hPT3+h2SX7ER6PhzbsEKen4eFhlJWV4dy5c2ELeS6XC3Nzc+jv74fD4YBAIMDhw4fhdrvR2tpKVQP1ej2qqqowOTkJoVAIPp+Pubk5pKamgsfjwe12IyYmBuPj43RlCqzUn86fP08XL8eOHcPi4iKampogFArR3d2NqakpnDhxAjk5OWhvb8eBAwdQVVUV1hFMIpGgrKwMpaWl1O2qubmZKmaWlZXhzJkzG17XxDBZr9fDaDRCq9UiIyPjmZ2HgUAADx8+RFVVFcrKynD27NndSGjs/0B+48YN1NbWbup5Z7FY0NDQgPHxcbo6iIyMpO20Go0G2dnZOHHixLYmc2xsDNeuXYPVakViYiIKCwuRl5e3KW8cWLmRXL9+HfX19dDpdDh69GiIxvFeguwUyKrJ5XLh9u3bIc0ckZGRyM/PR1NTU8iKjYgjkRbw9PR0JCYmUlaP3++nXOztYGpqCjU1NbT+0NPTA5fLhby8PJw+fZpKuHJ4PghOYanVaqSmpoJlWeTm5oZ0EO8U9fX1uHHjBhQKBSIjI2kA36i9Hlg55+Li4hAdHU1ds+x2O0wmE121pqeno7S0FG1tbZicnKQNZsBfGnYEAgGKi4uRkZFBue2EhSaTyZCbm4uSkpKwJtCtra348ssvaZpTKpVCpVLBYDDg6NGjm/YbuN1uDA4OIjo6GgkJCTRFQ65DAPSm1dHRAZPJBLFYTOWK33nnHaSnp+90yvd/IB8eHobFYqGCM4Sof+fOHfT29iI6OhrT09OQSCQQCoUhlKCkpCRcuHCBCl1thUAggFu3bqGmpgZSqRQXLlxAZmbmtt7rdDrx4MED1NbWoqKiAi+99FLYQGgymTA1NbWObkjykUqlEiKRiN5whoaGaHqDNEHpdDrcvn0bLS0tIZ8dGxuLsrIyLCwsICIiAsPDw+jv74der8frr7+OoaEhSKVSamK7U5Bg3dbWBpvNhunpabpa8/v9VNCfOCNxeP5gWRbt7e1oamqiOvJerxeZmZlITEyETCajPQ47gd/vpzRJu92O7u5uKs0gEokwPj5OZQvW9nyQVGewRG8wVS+YkBAsQiUUCml+ezPweDyoVCqUlZWBx+NhZGSEFiGJcmpPT8+6lKFKpYLX60VycjKVGcjJyYHJZKIuSMEgHeBr8/wymQzZ2dnUxWp8fBznzp1DaWnpjuYa34dAHoxvvvkG9fX1AFYOFtFx8Hq91A5LIBDg5z//OdRq9bar81NTU+Dz+bh37x66u7tRUlKCM2fObKuF2maz4c6dO7RVPSkpCbGxsYiNjQWPx8P4+Diio6Oh1Wqp60ggEMCxY8fAsiz6+/shFAo31TXWarVQqVS0U4+gsrKSrvi9Xi8V8Q/G9PQ0VCrVnjA+7HY7GhsbaSOGXC6HTqdDbGwsysvLqT4GlzZ58eD1evHgwQO0traGaKAfOnQIZ86ceaaMIJ/PR52ITCYTPYc1Gg3Onj2LqKgo6i9KxLxIYC8rK8OhQ4dw8+ZN9Pb2AgD1Bg1mR/F4PGRkZMBqtVJt+eDVvM/ng1AoRHR0NKamphAVFYWTJ0/C4/Ggrq6OaqmTVCzpOl1cXERERASKioqQl5eHpaUlTE1NUc0d0nlM5H6JEUvwNbAHyqT7P5DX1tZSN5Hq6mpkZ2cjPj4eBoMBT548QU9PDw0eJJ0RFxdHLZcIHA4Huru7qdN1S0sLbDYbbDZbSDca4b4SQaC0tDQYjUbU1NRQgaq5uTn4fD5qK7WRexGwXuc6MTERCoUCHR0dAFboXD6fDwaDAcXFxXA4HNTYl2VZaLVaqNVqACsXhMlkgtVqRVxcHIxG41PP59PA5/PRXDePx8Py8jIYhkF6ejq1rOOC9v6Dy+XC0tISamtrUV9fTxuvJBIJIiMjIZVKcfjwYSrVsJcg1Mrr16+HOFQRBlp8fDx0Oh1ycnJw//59PHnyBHFxcTh58iRiY2PR1NREOy8ZhoFWq8WJEyfQ3NyM/v5+JCYm4vDhw6itrcXQ0BAMBgPefPPNEFIEqQEFx4fx8XHcunULFosFZ8+exaFDhxAIBDAyMgKNRrNhPeg5Yf8H8l//+td0tUru0sEdYxuBkPOJXOnk5OSWHFLiJ8my7DoJWj6fj8jISCwvL0OlUsHn82F+fh58Ph9Go5FSmxiGgVQqhc1mQyAQgFqths/nw+zsLBYWFmhao6qqimqKv0iYmJhAXV0dzXMDK96HxAj4wIEDu+HDcnjB0N/fj8HBQczOzlLJXpvNBj6fj/T0dDAMA6PRiPT09D2RCCBwuVx48OAB6uvrw5plvP7668jPz0d7ezuqqqpgs9kQHx8PkUiEqKgoFBUVob+/Hw0NDRAKhXjjjTewtLSEGzduYHl5maZaFxYW6GIjLS0Nb7755oY65n6/H1evXkVPTw8MBgMyMjJQUFCwpwYXO8T+D+QDAwNoa2tDf38/XdkSGmF8fDxtjkhJSaEt+uQ/4uE4OTkJuVyOiooKVFdXo7e3FwaDAadPn4ZSqYTFYsHs7CyWl5cpJY5wPnt7ezE+Po7i4mJ4PB48fPgQbrcb/f39SE9Px5tvvrnnKnbPCyzLYmBgAA8fPqSKb83NzbQ7TaFQQK/Xf686TzlsDZvNhps3b9IGGpKKkUqluHjx4m4sy9aB7FxJevTTTz+lqZfMzEwkJSWhqKgI3d3dqKurQ0REBCYnJ6FSqXDw4EEIhULU1NRgZmYG586dQ2FhIXp7e6nH7NTUFBISEhATE4OWlhYkJibi3Xff3ZC44Pf78fDhQ/T09GBqagrEjHsX1MG9wP4P5Hfu3EFNTQ18Ph+VIHU4HMjNzQ3rqxeMQCBAtR8I/3Z8fBxFRUW4ePHiU+UFPR4PfvGLX8DhcCAqKgpZWVk4c+bMvnPlcTqdsFqtiI2NxfXr19He3k4Fqebm5lBSUoLTp09vydDh8MMAy64YEI+MjKCtrQ1Wq5Vao5GW971Mry0sLODmzZvo6uoK0Tx65513EBsbS7X4gwP+oUOHMDMzQxUwtVotvF4vKisr8fjxY7S1tYHP50Mul8Nms0Eul+P9998Py2wJxszMDO7du4euri4UFhZS6erU1FSkpKTs2W/eBvZ/IG9vb0dLSwvMZjOAle1RUVERsrKyNgzELMuiubkZDx8+hN1uB4/Hg1QqBZ/Px7Fjx56qo3JxcRFtbW0wm80YHBzEBx98sCcUrucJl8uFoaEhDAwMoLW1NSQtdeLECVRWVoLH41HnEw4cwsHtduPTTz/F4OAgfUwmk+HkyZNISUlBdHT0nhVNGxoaMDAwQM9dgqSkJFy6dIm6A1VVVaGhoQFKpRJqtZoydPx+P3w+HyoqKpCYmAiLxYLJyUlq8QassGBKS0tRWVm54cIlEAjgq6++QktLC6VAsiyLl156aV3D1TPE/g/k9+/fR1VVFVJTU3H58uUt7cccDgftAk1MTERFRQWMRuOO/P0WFxfx61//muYMjx8/jqNHjz7153wXYFkWfX19ePz4MW2tjoiIQE5ODrKysjA2NoaUlJQXpsOUw/4Ay7K0vX1mZgZNTU3U6UckEtGmnb3MKw8ODuLJkycYHR1d596Tk5MDsVhMrfDkcjmOHDmCmJgY1NfXo6OjA1FRUXjrrbeg1+sRCATQ0NCABw8ehEgJi0QiZGRkoKioKOxqmzBPvF4vvvjiC3R2dqKoqAjl5eWIiwtn3bCn2P+BvLu7G4ODgzh//vymd3ufz0etmgKBAE6fPo2KioodbfvcbjcaGhrQ0NAAp9OJ9957b9suPd8l+vr6MDo6irS0NFRVVVFeOrExCxYk4sBhL8CyLMxmMzX36OnpAY/HQ3Z2No4fPw6NRgOv10s1R3YDv9+P6upqyk8PlhqIjo5GYWEhenp6KC0xKioKqampVEHz4sWLNEXi8/nQ29uL0dFRdHV10aIoy7IoLi7G2bNnN1z8kX6ThoYG+Hw+6PV6vPTSS8+yb2L/B/KtwLIsTCYTbty4gZmZGeTn5+P48eOUsreTz/vkk0/Q19eHxMREvPTSS9Dr9Xs86r3H6OgofvOb34R4dr788ss4cODAvsvjc9i/IKv0xsZGeL1eSkwAgLy8PFy6dGlHu+Nw8Hg8qK6uxpMnT0J8djMzM2E0GjE4OIiurq6QZsGUlBSkp6cjLS2N6iSR5qmvvvqKpmUUCgUuXbqElJSUDReDy8vLaGlpoTW8v/mbv3lWhuXf70A+OzuLa9euYXh4GHK5HBcvXtwxnY/oPS8tLeHzzz9/3jmwp8LU1BR1NbFarRgdHaX63m+//TZdlXOt8Ry+KywtLaG+vp76ri4uLqK+vh4KhQIGgwE5OTm7aVkPgdfrpTIRfX198Hq9lKIcHx8PoVAIi8VC6z9utxsMw6C0tBQnT56k+fHZ2VncvXsXXV1dtBckKioKpaWlKC8vh9/vh0QiWRfYp6en8ctf/hKJiYkoLi5GUlLSXl97379ATgqZFosFPT094PP5OH36NIqKinacNvB6vfgf/+N/ULlNnU6Hn/3sZy/cStbj8eDu3buora0NeVwgECAxMRHnz5+HVqv9jkbHgcPmGBwcxMOHDzE9PQ2n04nc3FxER0dDp9Nt6KT1tPD5fPjtb38bYj4tk8lQWVlJ5QpiY2OhUCjQ19cHiUSC48ePo7CwkO4UWltb8fnnn9NdfXAHaWZmJt5888114lxNTU348ssvAaxcj2fPnkVxcfFeMXq+X4Hc6XTis88+w8DAAGQyGQwGA86cObOrDrRAIIAvvvgCbW1tOHv2LBwOB4qKil4Y30yv1wuLxYL5+XlUV1dTt6S8vDzMz89Do9FQOQAOHPYDfD4fqqqqUFdXB2DlHI+JicHhw4eRm5u76zoO8ff0+Xy4ceMGZb2IxWKqg+9wOFBcXIzh4WHMzMxAKBTi8uXLVPKioaGBXm/ASod2eno6Ojo6oNPpkJ2djdzc3BAK49LSEhYWFnDr1i2YzWZotVocP34cOTk5uw3o359A3tnZievXr8PlcuHs2bMoKSnZ1eSwLIuuri7cu3cPs7OzOH78OE6cOLHjz9treL1ePH78GLW1tdQhRqPR4NKlS/siZ8+Bw3ZArsOqqirMzMwgKioKhYWFEIvFiImJ2ZPmo8HBQdy4cSPEam5td7hYLMby8jIOHjxI5aeNRiPcbjcGBgZw9+5d2Gw25ObmYmxsDDabDTweD4WFhRCJRDAajbRxjhhbkN2HXq/HhQsXtm0dGQb7P5D7/X7cvHkT9fX1iI+Px6uvvrptNcNwIEJV9+7dw+TkJLRaLU6ePImsrKzvVDeE6EATyVm3242FhQVkZGSgtLQUarUacrmcW3lz+F6CkBbq6urQ19dHH8/Pz8eBAwcQHx+/Jz0OZrMZn3/+ORYXF0PMNYAVGQ6v1wuJRAKPx4MPPviAMlFcLhe+/PJLdHV1IT09HWfOnMGTJ0/Q3t4OYCVOVVZW4vjx43RHEQgE0NzcjKqqKrz77rtPbY4dhP0fyL/44gu0tLSgoqJiV52UpL2+p6cHMzMzUCqVOHHiRIj56/MG6Zrr6OhAa2sr3G434uPjIZVK4fV6cfTo0X3XfMSBw25BGnaePHmC+/fvU+OTc+fOoaCgYE8WXCzLYmxsDHfv3qXNhqRzs6KiAo8fP4bH48FPf/pT6t/Lsizq6urw7bffQiqV4sqVK0hMTKQOZi0tLZBKpTAajRCLxcjLy4NOp4PP59ttumj/B3Kr1YrJyUkUFBTs+LuXl5fx0UcfYXx8HMnJycjLy0NhYeFzN/MNBALo7OzE+Pg4oqKi0N7eDqvVCj6fj+zsbJSXl3Ma3hw4BGFpaQkTExN48OABRkZGoFarkZeXB6PRiNjY2G3Ztm2FlpYWXLt2LawfKY/Hw7Fjx6gzEbBiPPPpp59icXERp06dQmFhIaKjo2GxWPDgwQNYrVa4XC7qR/vqq6/uVkly/wfy3YDk327dugWHw4ErV658Z671FosF169fh9VqBY/HQyAQgFarRUVFBbKzszltEw4cNkEgEKBGGcHa/UQ8Ky0tDUqlcsccdZfLhaamJiqWFU4ptby8HB6PB7Ozs7h8+XKIRnpFRQVefvnldZ9XVVUFPp+Pt956azf6LD/sQN7S0oIvvvgCsbGxuHDhwnPvziSFkpaWFgwMDEChUOD06dPIycmhUpucnjcHDk8Hp9MJi8WCmZkZDA4O0sAuEAhw8uRJlJeX7ypdGggEcOPGDTQ1Na1zBSKLsKysLPzoRz/CxMQEamtr0d7ejvfee2+d5MXc3ByuX7+OS5cu7WZV/sMN5G63G3//938PpVKJDz/88LnlwUne+/Hjx7SVWCqV4uDBgzh8+PCebAU5cODwF0xPT8NqtaK1tRX9/f0QCARQqVTw+/1ISUnB6dOnd1QoJfIDn3zySVj/g/z8fLz22mtgWRa/+MUvsLy8jOTkZOTk5CAnJ2cvfhrBDy+Qz87Oora2lnpg/uxnP6PFimeJ5eVlNDY2orW1FTMzMxCJRCgqKkJmZib0ej3HNuHA4RmDMNJMJhNsNhvV24+OjqZ1sZ0w3mZmZtDQ0ACTyUSbBgnEYjGOHz+OuLg43L59G/Pz81hcXMTly5efSmV1C/ywAvng4CCuXr1KvTtLSkpw6tSpZ/qdwEoKh1hXGQwG5OfnIz8/f880JThw4LAzjIyM4P79+7BYLAgEAiguLkZCQgJkMhni4uKe2sJtYmICN2/eDJHWBVZMN959912o1Wp8/PHHsFgsOHToEE6cOLEXceCHEcgDgQCqqqrw8OFDxMTE4Mc//vEz1RkZHR1FX18fJicnsby8jNHRUSQnJ+Ps2bPPQ9KSAwcOT4nl5WXcvXsXjY2NIeyU+Ph4ZGdnIzs7e9tCe4FAAP/yL/+C+fn5ECkAYKUDNDMzEzweDy0tLdBqtfjpT3+6W1nf738g9/l8uHr1Knp7e1FUVITz58/v+UqYaBjbbDZMTU3BbDaDYRjExMRAKBTCaDRScwYOHDi8uPB4PHA6nbDZbBgdHUVvby/GxsYAAIWFhTh69Cj8fj+0Wu22iAhmsxm/+93v1j0eHR0NhUKB8fFxyOVyfPjhh7tRRvx+B/Lx8XHcuHEDIyMjOH/+PMrKyvb084GVQspXX32F4eFhCIVCiEQilJeX4+DBg5ybDgcO3wPMz8+joaEBjx49oqv1/Px8vP7669sK5larFTabDYODg2hsbKSyvcEyAKdOndqNKc33M5A7nU7cvHkTbW1tEIvFOH/+PPLz8/fks4EVwn9DQwPm5uZoAL9w4cKumpI4cODwYmNqagqjo6OYmZlBTU0NsrKyEBcXh9zc3G2L6JEUztpYd+XKFeTm5u50aN+/QG61WvH73/8eTqcTR44cwZEjR/Z0ZWw2m/Hxxx+Dz+dDrVbDaDSitLT0qYsiHDhw2J9gWZbKRXu9XvB4PBQXFyMtLQ2JiYnbyncvLy/jl7/8Jex2OwDg3LlzKC8v3+mQvl+BfGJiAr///e8RERGBd999d08Ki36/HyMjI7RpZ2lpCVqtFu+///6zcvvgwIHDPsHS0hLu3LmD1tZWmjKJiYnBxYsXt2ww9Pl8+OSTTzA4OIi33nqLSuTuAHsfyBmG+X8AXALgATAI4EOWZe1bvW+3gXxubg7/9E//BIFAgA8++ABKpXLHn+X3+9HT04P29nYMDg7C5/NBKBTSrVRhYSHVVeDAgQMHn8+HiYkJjIyMoL6+HvPz8zh48CAyMzNhNpuh0+mQl5e37n1erxf37t3D8ePHd5M5eCaB/GUAd1mW9TEM858BgGXZf7/V+3YayAOBALq6unDnzh243W789V//9Y5MH1iWhcViwdDQEFpaWjA/Pw+pVIqsrCzqJs/xvjlw4LAVXC4Xbt26hZaWFrpKB1YKpIFAAAaDAaWlpXv5lWED+a70FFmW/TbonzUAruzm87bCtWvX0NraCrVajXffffepgjjLsrDb7fB6vbh79y4VuNHr9Th//jzS09M5yiAHDhyeCiKRCJcuXcKJEycwNjYGg8GA+/fvo7a2FhKJBJ2dnQgEArvJiW8Le5YjZxjmSwB/ZFn2D1u9dqcr8tHRUSwsLCArK+upgu7w8DBu376NkZERAKDensXFxRxtkAMHDnsOv98PhmHw6aefoqenB3K5HDk5OTh27Nhu1U13llphGOY2gHCVxL9lWfaL1df8LYASAG+wG3wgwzA/B/BzANDr9QfXtrXuNXw+H5xOJ9rb23Hnzh1IpVIcOnSIGry+KD6cHDhw+P7C5/OhqakJZrMZPT09kEgkuHLlyosnY8swzF8B+DcATrMs69zOe55VZ+fs7Cy6u7thNpsxPDwMn88HAMjJycFrr73G5b05cODwnWFiYgJ37tzZrbnEMyl2ngPw/wI4zrLs9FavJ3gWgXxiYgL//M//DJ/Ph5iYGKSkpECr1UIulyMtLY3T+ubAgcP3AXtf7ATw3wBEAri1GihrWJb9m11+5rZBNIIXFhZw7949REVF4a/+6q+eqUgWBw4cOLxo2C1rxbhXA9kuXC4X+vr64Ha70d/fj/7+fgCAUCjkgjgHDhx+kNjtivy54v79+6iurqa5b4FAgLNnzyIzMxMSiYRjoHDgwOEHiX0VyOVyOQoLC1FUVASFQgGhUMgVMDlw4PCDx74K5EVFRSgqKvquh8GBAwcOLxS4VkYOHDhw2OfgAjkHDhw47HNwgZwDBw4c9jm4QM6BAwcO+xxcIOfAgQOHfQ4ukHPgwIHDPgcXyDlw4MBhn4ML5Bw4cOCwz/GdmC8zDDMNYKeC5BoAM3s4nL0CN66nAzeupwM3rqfDizouYHdjm2FZ9tzaB7+TQL4bMAzTwLJsyXc9jrXgxvV04Mb1dODG9XR4UccFPJuxcakVDhw4cNjn4AI5Bw4cOOxz7MdA/svvegAbgBvX04Eb19OBG9fT4UUdF/AMxrbvcuQcOHDgwCEU+3FFzoEDBw4cgsAFcg4cOHDY53ghAznDMD9iGKaTYZgAwzAb0nQYhjnHMEwvwzADDMP8h6DHUxiGqV19/I8Mw+yJjRDDMCqGYW4xDNO/+n9lmNecZBimJeg/F8Mwl1ef+w3DMOag54qe17hWX+cP+u5rQY9/l/NVxDDMk9Xj3cYwzNtBz+3pfG10vgQ9H7n6+wdW5yM56Ln/uPp4L8MwZ3czjh2M639nGKZrdX7uMAxjCHou7DF9TuP6K4ZhpoO+/2dBz32wetz7GYb54DmP678GjamPYRh70HPPcr7+mWEYK8MwHRs8zzAM8/+tjruNYZjioOd2N18sy75w/wHIBpAJoApAyQav4QMYBJAKQAigFUDO6nN/AvDO6t//CODf7tG4/g7Af1j9+z8A+M9bvF4FYA6AZPXfvwFw5RnM17bGBcCxwePf2XwByACQvvp3PIAJAIq9nq/Nzpeg1/wvAP5x9e93APxx9e+c1ddHAkhZ/Rz+cxzXyaBz6N+ScW12TJ/TuP4KwH8L814VANPq/5Wrfyuf17jWvP5/A/DPz3q+Vj/7GIBiAB0bPP8KgOsAGACHANTu1Xy9kCtylmW7WZbt3eJlZQAGWJY1sSzrAfAJgNcYhmEAnAJwdfV1vwVweY+G9trq5233c68AuM6yrHOPvn8jPO24KL7r+WJZto9l2f7Vv8cBWAFo9+j7gxH2fNlkvFcBnF6dn9cAfMKyrJtlWTOAgdXPey7jYln2XtA5VAMgcY++e1fj2gRnAdxiWXaOZVkbgFsA1nUjPqdx/RjAx3v03ZuCZdkHWFm4bYTXAPyOXUENAAXDMDrswXy9kIF8m0gAMBL079HVx9QA7CzL+tY8vheIZVl2YvXvSQCxW7z+Haw/if7P1W3Vf2UYJvI5j0vEMEwDwzA1JN2DF2i+GIYpw8oqazDo4b2ar43Ol7CvWZ2PeazMz3be+yzHFYx/hZVVHUG4Y/o8x/Xm6vG5yjBM0lO+91mOC6spqBQAd4MeflbztR1sNPZdz9d3Zr7MMMxtAHFhnvpblmW/eN7jIdhsXMH/YFmWZRhmQ+7m6p02H8DNoIf/I1YCmhArXNJ/D+D/eI7jMrAsO8YwTCqAuwzDtGMlWO0YezxfvwfwAcuygdWHdzxf30cwDPMegBIAx4MeXndMWZYdDP8Je44vAXzMsqybYZh/g5XdzKnn9N3bwTsArrIs6w967Lucr2eG7yyQsyx7ZpcfMQYgKejfiauPzWJlyxKxuqoij+96XAzDTDEMo2NZdmI18Fg3+ai3AHzGsqw36LPJ6tTNMMyvAfy75zkulmXHVv9vYhimCsABAH/GdzxfDMPIAHyNlZt4TdBn73i+wmCj8yXca0YZhokAIMfK+bSd9z7LcYFhmDNYuTkeZ1nWTR7f4JjuRWDaclwsy84G/fNXWKmJkPeeWPPeqj0Y07bGFYR3APyvwQ88w/naDjYa+67naz+nVuoBpDMrjAshVg7aNXalenAPK/lpAPgAwF6t8K+tft52Pnddbm41mJG89GUAYavbz2JcDMMoSWqCYRgNgCMAur7r+Vo9dp9hJXd4dc1zezlfYc+XTcZ7BcDd1fm5BuAdZoXVkgIgHUDdLsbyVONiGOYAgF8AeJVlWWvQ42GP6XMcly7on68C6F79+yaAl1fHpwTwMkJ3ps90XKtjy8JK4fBJ0GPPcr62g2sAfrrKXjkEYH51sbL7+XpWFdzd/AfgdazkidwApgDcXH08HsA3Qa97BUAfVu6ofxv0eCpWLrQBAJ8CiNyjcakB3AHQD+A2ANXq4yUAfhX0umSs3GV5a95/F0A7VgLSHwBEP69xATi8+t2tq///Vy/CfAF4D4AXQEvQf0XPYr7CnS9YSdW8uvq3aPX3D6zOR2rQe/929X29AM7v8fm+1bhur14HZH6ubXVMn9O4/i8Anavffw9AVtB7/3p1HgcAfPg8x7X67/8E4P9e875nPV8fY4V15cVK/PpXAP4GwN+sPs8A+IfVcbcjiJG32/niWvQ5cODAYZ9jP6dWOHDgwIEDuEDOgQMHDvseXCDnwIEDh30OLpBz4MCBwz4HF8g5cODAYZ+DC+QcOHDgsM/BBXIOHDhw2Of4/wGk5KPa4H496gAAAABJRU5ErkJggg==\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -305,33 +296,33 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "In summary, we defined reasonable summary statistics and, a priori, there might be an appararent reason why one method would be better than another. When we do inference, we'd like our posterior to focus around parameter samples that have their simulated MSE very close to 0 (i.e. the truth MSE summary statistic) or their 3 extracted $(t, x)$ coordinates to be the truthful ones."
+ "In summary, we defined reasonable summary statistics and, a priori, there might be an appararent reason why one method would be better than another. When we do inference, we'd like our posterior to focus around parameter samples that have their simulated MSE very close to 0 (i.e. the truth MSE summary statistic) or their 3 extracted $(t, x)$ coordinates to be the truthful ones.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## 1.5 Inference"
+ "## 1.5 Inference\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "### 1.5.1 Using the MSE"
+ "### 1.5.1 Using the MSE\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Let's see if we can use the MSE to recover the true observation parameters $\\theta_o=(a_0,b_0,c_0)$."
+ "Let's see if we can use the MSE to recover the true observation parameters $\\theta_o=(a_0,b_0,c_0)$.\n"
]
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
@@ -344,14 +335,14 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 181 epochs."
+ " Neural network successfully converged after 168 epochs."
]
}
],
@@ -365,18 +356,18 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Now that we've build the posterior as such, we can see how likely it finds certain parameters given that we tell it that we've observed a certain summary statistic (in this case the MSE). We can then sample from it."
+ "Now that we've build the posterior as such, we can see how likely it finds certain parameters given that we tell it that we've observed a certain summary statistic (in this case the MSE). We can then sample from it.\n"
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "7eacd39b7c664233a46a5081416ae57d",
+ "model_id": "6202b9360a0f4f07997390ea23700feb",
"version_major": 2,
"version_minor": 0
},
@@ -401,19 +392,17 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -434,18 +423,18 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The posterior seems to pretty broad: i.e. it is not so certain about the 'true' parameters (here showcased in red)."
+ "The posterior seems to pretty broad: i.e. it is not so certain about the 'true' parameters (here showcased in red).\n"
]
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "1ab62e5ca8c4439dae0b3a65bdf33db9",
+ "model_id": "a9cd9e95cda74a3ab4bfeb649cef9f5f",
"version_major": 2,
"version_minor": 0
},
@@ -459,23 +448,21 @@
{
"data": {
"text/plain": [
- ""
+ ""
]
},
- "execution_count": 13,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -493,19 +480,19 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The functions are a bit closer to the observation than prior samples, but many posterior samples generate activity that is very far off from the observation. We would expect `sbi` do better on such a simple example. So what's going on? Do we need more simulations? Feel free to try, but below we will show that one can use the same number of simulation samples with different summary statistics and do much better."
+ "The functions are a bit closer to the observation than prior samples, but many posterior samples generate activity that is very far off from the observation. We would expect `sbi` do better on such a simple example. So what's going on? Do we need more simulations? Feel free to try, but below we will show that one can use the same number of simulation samples with different summary statistics and do much better.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "### 1.5.2 Using 3 coordinates as summary statistics"
+ "### 1.5.2 Using 3 coordinates as summary statistics\n"
]
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
@@ -515,14 +502,14 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 127 epochs."
+ " Neural network successfully converged after 320 epochs."
]
}
],
@@ -537,12 +524,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The observation is now given by the values of the observed trace at three different coordinates:"
+ "The observation is now given by the values of the observed trace at three different coordinates:\n"
]
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
@@ -551,13 +538,13 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "3cbb37d1e71544d9a5b2418b13809383",
+ "model_id": "58fe3cef99734c1e9bf82d3e3d88862a",
"version_major": 2,
"version_minor": 0
},
@@ -570,14 +557,12 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -598,13 +583,13 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "80f75d8aa7ea407dba7a3eb0cead846a",
+ "model_id": "ed832db2fd9240a1abee0d9b3974bfd7",
"version_major": 2,
"version_minor": 0
},
@@ -618,23 +603,21 @@
{
"data": {
"text/plain": [
- ""
+ ""
]
},
- "execution_count": 18,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -653,45 +636,43 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Ok this definitely seems to work! The posterior correctly focuses on the true parameters with greater confidence. You can experiment yourself how this improves further with more training samples or you could try to see how many you'd exactly need to keep having a satisfyingly looking posterior and high posterior sample simulations."
+ "Ok this definitely seems to work! The posterior correctly focuses on the true parameters with greater confidence. You can experiment yourself how this improves further with more training samples or you could try to see how many you'd exactly need to keep having a satisfyingly looking posterior and high posterior sample simulations.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "So, what's up with the MSE? Why does it not seem so informative to constrain the posterior? In 1.6, we'll see both the power and pitfalls of summary statistics."
+ "So, what's up with the MSE? Why does it not seem so informative to constrain the posterior? In 1.6, we'll see both the power and pitfalls of summary statistics.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## 1.6 Prior simulations' summary statistics vs observed summary statistics"
+ "## 1.6 Prior simulations' summary statistics vs observed summary statistics\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Let's try to understand this...Let's look at a histogram of the four summary statistics we've experimented with, and see how they compare to our observed truth summary statistic vector:"
+ "Let's try to understand this...Let's look at a histogram of the four summary statistics we've experimented with, and see how they compare to our observed truth summary statistic vector:\n"
]
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -727,7 +708,7 @@
"source": [
"We see that for the coordinates (three plots on the left), simulations cover the observation. That is: it covers it from the left and right side in each case. For the MSE, simulations never truly reach the observation $0.0$.\n",
"\n",
- "For the trained neural network, it is strongly preferable if the simulations cover the observation. In that case, the neural network can **interpolate** between simulated data. Contrary to that, for the MSE, the neural network has to **extrapolate**: it never observes a simulation that is to the left of the observation and has to extrapolate to the region of MSE=$0.0$. This seems like a technical point but, as we saw above, it makes a huge difference in performance."
+ "For the trained neural network, it is strongly preferable if the simulations cover the observation. In that case, the neural network can **interpolate** between simulated data. Contrary to that, for the MSE, the neural network has to **extrapolate**: it never observes a simulation that is to the left of the observation and has to extrapolate to the region of MSE=$0.0$. This seems like a technical point but, as we saw above, it makes a huge difference in performance.\n"
]
},
{
@@ -742,7 +723,7 @@
"\n",
"- Do not use an \"error\" as summary statistic. This is common in optimization (e.g. genetic algorithms), but it often leads to trouble in `sbi` due to the reason above.\n",
"\n",
- "- Only use summary statistics that are necessary. The less summary statistics you use, the less can go wrong with them. Of course, you have to ensure that the summary statistics describe the raw data sufficiently well."
+ "- Only use summary statistics that are necessary. The less summary statistics you use, the less can go wrong with them. Of course, you have to ensure that the summary statistics describe the raw data sufficiently well.\n"
]
}
],
@@ -762,7 +743,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.5"
+ "version": "3.8.18"
}
},
"nbformat": 4,
diff --git a/tutorials/11_sampler_interface.ipynb b/tutorials/11_sampler_interface.ipynb
index c56a3886f..bcbb5a3ef 100644
--- a/tutorials/11_sampler_interface.ipynb
+++ b/tutorials/11_sampler_interface.ipynb
@@ -12,18 +12,26 @@
"\n",
"- Markov-chain Monte-Carlo (MCMC)\n",
"\n",
- "- Rejection sampling \n",
+ "- Rejection sampling\n",
"\n",
"- Variational inference (VI)\n",
"\n",
- "Below, we will demonstrate how these samplers can be used in `sbi`. First, we train the neural network as always:"
+ "Below, we will demonstrate how these samplers can be used in `sbi`. First, we train the neural network as always:\n"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Neural network successfully converged after 57 epochs."
+ ]
+ }
+ ],
"source": [
"import torch\n",
"\n",
@@ -44,24 +52,50 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "And then we pass the options for which sampling method to use to the `build_posterior()` method:"
+ "And then we pass the options for which sampling method to use to the `build_posterior()` method:\n"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "3b9cbb3526ec457fadfd25ac301f0e5c",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ " 0%| | 0/2000 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "Converged with loss: 5.17\n",
+ "Quality Score: -0.116 \t Good: Smaller than 0.5 Bad: Larger than 1.0 \t NOTE: Less sensitive to mode collapse.\n"
+ ]
+ }
+ ],
"source": [
"# Sampling with MCMC\n",
"sampling_algorithm = \"mcmc\"\n",
"mcmc_method = \"slice_np\" # or nuts, or hmc\n",
- "posterior = inference.build_posterior(sample_with=sampling_algorithm, mcmc_method=mcmc_method)\n",
+ "posterior = inference.build_posterior(sample_with=sampling_algorithm,\n",
+ " mcmc_method=mcmc_method)\n",
"\n",
"# Sampling with variational inference\n",
"sampling_algorithm = \"vi\"\n",
"vi_method = \"rKL\" # or fKL\n",
- "posterior = inference.build_posterior(sample_with=sampling_algorithm, vi_method=vi_method)\n",
+ "posterior = inference.build_posterior(sample_with=sampling_algorithm,\n",
+ " vi_method=vi_method)\n",
"# Unlike other methods, vi needs a training step for every observation.\n",
"posterior = posterior.set_default_x(x_o).train()\n",
"\n",
@@ -76,7 +110,7 @@
"source": [
"# More flexibility in adjusting the sampler\n",
"\n",
- "With the above syntax, you can easily try out different sampling algorithms. However, in many cases, you might want to customize your sampler. Below, we demonstrate how you can change hyperparameters of the samplers (e.g. number of warm-up steps of MCMC) or how you can write your own sampler from scratch."
+ "With the above syntax, you can easily try out different sampling algorithms. However, in many cases, you might want to customize your sampler. Below, we demonstrate how you can change hyperparameters of the samplers (e.g. number of warm-up steps of MCMC) or how you can write your own sampler from scratch.\n"
]
},
{
@@ -85,48 +119,19 @@
"source": [
"## Main syntax (for SNLE and SNRE)\n",
"\n",
- "As above, we begin by training the neural network as always:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " Neural network successfully converged after 52 epochs."
- ]
- }
- ],
- "source": [
- "import torch\n",
- "\n",
- "from sbi.inference import SNLE\n",
- "\n",
- "# dummy Gaussian simulator for demonstration\n",
- "num_dim = 2\n",
- "prior = torch.distributions.MultivariateNormal(torch.zeros(num_dim), torch.eye(num_dim))\n",
- "theta = prior.sample((1000,))\n",
- "x = theta + torch.randn((1000, num_dim))\n",
- "x_o = torch.randn((1, num_dim))\n",
- "\n",
- "inference = SNLE(show_progress_bars=False)\n",
- "likelihood_estimator = inference.append_simulations(theta, x).train()"
+ "As above, we begin by training the neural network as always:\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Then, for full flexibility on using the sampler, we do not use the `.build_posterior()` method, but instead we explicitly define the potential function and the sampling algorithm (see below for explanation):"
+ "Then, for full flexibility on using the sampler, we do not use the `.build_posterior()` method, but instead we explicitly define the potential function and the sampling algorithm (see below for explanation):\n"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -144,18 +149,44 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "If you want to use variational inference or rejection sampling, you have to replace the last line with `VIPosterior` or `RejectionPosterior`:"
+ "If you want to use variational inference or rejection sampling, you have to replace the last line with `VIPosterior` or `RejectionPosterior`:\n"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "70b0cfdec1ba4afbbe5b42f7e4ff6d3a",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ " 0%| | 0/2000 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "Converged with loss: 5.18\n",
+ "Quality Score: 0.104 \t Good: Smaller than 0.5 Bad: Larger than 1.0 \t NOTE: Less sensitive to mode collapse.\n"
+ ]
+ }
+ ],
"source": [
+ "from sbi.inference import RejectionPosterior, VIPosterior\n",
+ "\n",
"# For VI, we have to train.\n",
"posterior = VIPosterior(\n",
- " potential_fn, proposal=prior, theta_transform=parameter_transform\n",
+ " potential_fn, prior=prior, theta_transform=parameter_transform\n",
").train()\n",
"\n",
"posterior = RejectionPosterior(\n",
@@ -167,7 +198,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "At this point, you could also plug the `potential_fn` into any sampler of your choice and not rely on any of the in-built `sbi`-samplers."
+ "At this point, you could also plug the `potential_fn` into any sampler of your choice and not rely on any of the in-built `sbi`-samplers.\n"
]
},
{
@@ -176,19 +207,19 @@
"source": [
"## Further explanation\n",
"\n",
- "The first lines are the same as for the flexible interface:"
+ "The first lines are the same as for the flexible interface:\n"
]
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 33 epochs."
+ " Neural network successfully converged after 59 epochs."
]
}
],
@@ -201,12 +232,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Next, we obtain the potential function. A potential function is a function of the parameter $f(\\theta)$. The posterior is proportional to the product of likelihood and prior: $p(\\theta | x_o) \\propto p(x_o | \\theta)p(\\theta)$. The potential function is the logarithm of the right-hand side of this equation: $f(\\theta) = \\log(p(x_o | \\theta)p(\\theta))$"
+ "Next, we obtain the potential function. A potential function is a function of the parameter $f(\\theta)$. The posterior is proportional to the product of likelihood and prior: $p(\\theta | x_o) \\propto p(x_o | \\theta)p(\\theta)$. The potential function is the logarithm of the right-hand side of this equation: $f(\\theta) = \\log(p(x_o | \\theta)p(\\theta))$\n"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -219,12 +250,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "By calling the `potential_fn`, you can evaluate the potential:"
+ "By calling the `potential_fn`, you can evaluate the potential:\n"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
@@ -238,12 +269,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The other object that is returned by `likelihood_estimator_based_potential` is a `parameter_transform`. The `parameter_transform` is a [pytorch transform](https://github.com/pytorch/pytorch/blob/master/torch/distributions/transforms.py). The `parameter_transform` is a fixed transform that is can be applied to parameter `theta`. It transforms the parameters into unconstrained space (if the prior is bounded, e.g. `BoxUniform`), and standardizes the parameters (i.e. zero mean, one std). Using `parameter_transform` during sampling is optional, but it usually improves the performance of MCMC."
+ "The other object that is returned by `likelihood_estimator_based_potential` is a `parameter_transform`. The `parameter_transform` is a [pytorch transform](https://github.com/pytorch/pytorch/blob/master/torch/distributions/transforms.py). The `parameter_transform` is a fixed transform that is can be applied to parameter `theta`. It transforms the parameters into unconstrained space (if the prior is bounded, e.g. `BoxUniform`), and standardizes the parameters (i.e. zero mean, one std). Using `parameter_transform` during sampling is optional, but it usually improves the performance of MCMC.\n"
]
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
@@ -264,17 +295,15 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "After having obtained the `potential_fn`, we can sample from the posterior with MCMC or rejection sampling:"
+ "After having obtained the `potential_fn`, we can sample from the posterior with MCMC or rejection sampling:\n"
]
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
- "from sbi.inference import MCMCPosterior, RejectionPosterior\n",
- "\n",
"posterior = MCMCPosterior(\n",
" potential_fn, proposal=prior, theta_transform=parameter_transform\n",
")\n",
@@ -287,19 +316,19 @@
"source": [
"## Main syntax for SNPE\n",
"\n",
- "SNPE usually does not require MCMC or rejection sampling (if you still need it, you can use the same syntax as above with the `posterior_estimator_based_potential` function). Instead, SNPE samples from the neural network. If the support of the prior is bounded, some samples can lie outside of the support of the prior. The `DirectPosterior` class automatically rejects these samples:"
+ "SNPE usually does not require MCMC or rejection sampling (if you still need it, you can use the same syntax as above with the `posterior_estimator_based_potential` function). Instead, SNPE samples from the neural network. If the support of the prior is bounded, some samples can lie outside of the support of the prior. The `DirectPosterior` class automatically rejects these samples:\n"
]
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 57 epochs."
+ " Neural network successfully converged after 76 epochs."
]
}
],
@@ -311,13 +340,6 @@
"\n",
"posterior = DirectPosterior(posterior_estimator, prior=prior)"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -336,7 +358,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.5"
+ "version": "3.8.18"
}
},
"nbformat": 4,
diff --git a/tutorials/13_diagnostics_simulation_based_calibration.ipynb b/tutorials/13_diagnostics_simulation_based_calibration.ipynb
index 536814581..31ceff570 100644
--- a/tutorials/13_diagnostics_simulation_based_calibration.ipynb
+++ b/tutorials/13_diagnostics_simulation_based_calibration.ipynb
@@ -6,9 +6,9 @@
"source": [
"# Simulation-based Calibration in SBI\n",
"\n",
- "After a density estimator has been trained with simulated data to obtain a posterior, the estimator should be made subject to several diagnostic tests, before being used for inference given the actual observed data. *Posterior Predictive Checks* (see [previous tutorial](https://sbi-dev.github.io/sbi/tutorial/12_diagnostics_posterior_predictive_check/)) provide one way to \"critique\" a trained estimator via its predictive performance. Another important approach to such diagnostics is simulation-based calibration as developed by [Cook et al, 2006](https://www.tandfonline.com/doi/abs/10.1198/106186006X136976) and [Talts et al, 2018](https://arxiv.org/abs/1804.06788).\n",
+ "After a density estimator has been trained with simulated data to obtain a posterior, the estimator should be made subject to several diagnostic tests, before being used for inference given the actual observed data. _Posterior Predictive Checks_ (see [previous tutorial](https://sbi-dev.github.io/sbi/tutorial/12_diagnostics_posterior_predictive_check/)) provide one way to \"critique\" a trained estimator via its predictive performance. Another important approach to such diagnostics is simulation-based calibration as developed by [Cook et al, 2006](https://www.tandfonline.com/doi/abs/10.1198/106186006X136976) and [Talts et al, 2018](https://arxiv.org/abs/1804.06788).\n",
"\n",
- "**Simulation-based calibration** (SBC) provides a (qualitative) view and a quantitive measure to check, whether the uncertainties of the posterior are balanced, i.e., neither over-confident nor under-confident. As such, SBC can be viewed as a necessary condition (but not sufficient) for a valid inference algorithm: If SBC checks fail, this tells you that your inference is invalid. If SBC checks pass, this is no guarantee that the posterior estimation is working."
+ "**Simulation-based calibration** (SBC) provides a (qualitative) view and a quantitive measure to check, whether the uncertainties of the posterior are balanced, i.e., neither over-confident nor under-confident. As such, SBC can be viewed as a necessary condition (but not sufficient) for a valid inference algorithm: If SBC checks fail, this tells you that your inference is invalid. If SBC checks pass, this is no guarantee that the posterior estimation is working.\n"
]
},
{
@@ -17,20 +17,20 @@
"source": [
"## In a nutshell\n",
"\n",
- "To run SBC, \n",
+ "To run SBC,\n",
"\n",
"1. we sample `theta_o_i` values from the prior of the problem at hand\n",
- "2. we simulate \"observations\" from these parameters: `x_o_i = simulator(theta_o_i)` \n",
+ "2. we simulate \"observations\" from these parameters: `x_o_i = simulator(theta_o_i)`\n",
"3. we perform inference given each observation `x_o_i`.\n",
"\n",
"This produces a separate posterior $p_i(\\theta | x_{o,i})$ for each of `x_o_i`. The key step for SBC is to generate a set of posterior samples $\\{\\theta\\}_i$ from each posterior (let's call this `theta_i_s`, referring to `s` samples from posterior $p_i(\\theta | x_{o,i})$), and to rank the corresponding `theta_o_i` under this set of samples. A rank is computed by counting how many samples `theta_i_s` fall below their corresponding `theta_o_i` (see section 4.1 in Talts et al.). These ranks are then used to perform the SBC check.\n",
"\n",
"### Key ideas behind SBC\n",
"\n",
- "The core idea behind SBC is two fold: \n",
+ "The core idea behind SBC is two fold:\n",
"\n",
"- SBC ranks of ground truth parameters under the inferred posterior samples follow a uniform distribution. \n",
- "(If the SBC ranks are not uniformly distributed, the posterior is not well calibrated.)\n",
+ " (If the SBC ranks are not uniformly distributed, the posterior is not well calibrated.)\n",
"\n",
"- samples from the data averaged posterior (ensemble of randomly chosen posterior samples given multiple distinct observations `x_o`) are distributed according to the prior\n",
"\n",
@@ -38,12 +38,12 @@
"\n",
"**SBC can inform us whether we are not wrong.** However, it cannot tell us whether we are right, i.e., SBC checks a necessary condition. For example, imagine you run SBC using the prior as a posterior. The ranks would be perfectly uniform. But the inference would be wrong.\n",
"\n",
- "**The Posterior Predictive Checks (see tutorial 12) can be seen as the complementary sufficient check** for the posterior (only as a methaphor, no theoretical guarantees here). Using the prior as a posterior and then doing predictive checks would clearly show that inference failed. \n",
+ "**The Posterior Predictive Checks (see tutorial 12) can be seen as the complementary sufficient check** for the posterior (only as a methaphor, no theoretical guarantees here). Using the prior as a posterior and then doing predictive checks would clearly show that inference failed.\n",
"\n",
"To summarize SBC can:\n",
"\n",
"- tell us whether the SBI method applied to the problem at hand produces posteriors that have well-calibrated uncertainties,\n",
- "- and if not, what kind of systematic bias it has: negative or positive bias (shift in the mean of the predictions) or over- or underdispersion (too large or too small variance)"
+ "- and if not, what kind of systematic bias it has: negative or positive bias (shift in the mean of the predictions) or over- or underdispersion (too large or too small variance)\n"
]
},
{
@@ -52,14 +52,14 @@
"source": [
"## A healthy posterior\n",
"\n",
- "Let's take the gaussian linear simulator from the previous tutorials and run inference with NPE on it. \n",
+ "Let's take the gaussian linear simulator from the previous tutorials and run inference with NPE on it.\n",
"\n",
- "__Note:__ SBC requires running inference several times. Using SBC with amortized methods like NPE is hence a justified endavour: repeated inference is cheap and SBC can be performed with little runtime penalty. This does not hold for sequential methods or anything relying on MCMC or VI (here, parallelization is your friend, `num_workers>1`)."
+ "**Note:** SBC requires running inference several times. Using SBC with amortized methods like NPE is hence a justified endavour: repeated inference is cheap and SBC can be performed with little runtime penalty. This does not hold for sequential methods or anything relying on MCMC or VI (here, parallelization is your friend, `num_workers>1`).\n"
]
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 2,
"metadata": {
"tags": []
},
@@ -75,7 +75,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 3,
"metadata": {
"tags": []
},
@@ -97,12 +97,12 @@
"source": [
"## An ideal case\n",
"\n",
- "To explore SBC, we make our life easy and assume that we deal with a problem where the likelihood is modelled by an identity mapping and a bit of smear. But to start, we only use an almost vanishing smear of `0.01`."
+ "To explore SBC, we make our life easy and assume that we deal with a problem where the likelihood is modelled by an identity mapping and a bit of smear. But to start, we only use an almost vanishing smear of `0.01`.\n"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 4,
"metadata": {
"tags": []
},
@@ -110,7 +110,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "1a68701b2f1144809b8658cfba848f48",
+ "model_id": "d331e41bad914672aff58cdbe77b9fba",
"version_major": 2,
"version_minor": 0
},
@@ -148,7 +148,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 5,
"metadata": {
"tags": []
},
@@ -174,7 +174,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 6,
"metadata": {
"tags": []
},
@@ -183,7 +183,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 63 epochs."
+ " Neural network successfully converged after 91 epochs."
]
}
],
@@ -198,7 +198,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {
"tags": []
},
@@ -206,7 +206,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "c09f4fbe3a7c4061921bc431d0f16c91",
+ "model_id": "f59ae5f08277406eb85aeaa25653c191",
"version_major": 2,
"version_minor": 0
},
@@ -227,14 +227,14 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 8,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -263,7 +263,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The observation `x_o` falls into the support of the predicted posterior samples, i.e. it is within `simulator(posterior_samples)`. Given the simulator, this is indicative that our posterior estimates the data well."
+ "The observation `x_o` falls into the support of the predicted posterior samples, i.e. it is within `simulator(posterior_samples)`. Given the simulator, this is indicative that our posterior estimates the data well.\n"
]
},
{
@@ -272,12 +272,12 @@
"source": [
"### Running SBC\n",
"\n",
- "We have a working and trained posterior at this point! Hurray! Let's look at the SBC metrics now."
+ "We have a working and trained posterior at this point! Hurray! Let's look at the SBC metrics now.\n"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {
"tags": []
},
@@ -293,14 +293,14 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "SBC is implemented in `sbi` for your use on any `sbi` posterior. To run it, we only need to call `run_sbc` with appropriate parameters. \n",
+ "SBC is implemented in `sbi` for your use on any `sbi` posterior. To run it, we only need to call `run_sbc` with appropriate parameters.\n",
"\n",
- "__Note__: For amortized neural posteriors (like in this tutorial), execution of `sbc` is expected to be fast. For posteriors that conduct inference with MCMC and hence are slow, `run_sbc` exposes the use of multiple internal parallel workers to the user. To use this feature, add `num_workers = 2` to the parameters for use of two workers. See the API documentation for details."
+ "**Note**: For amortized neural posteriors (like in this tutorial), execution of `sbc` is expected to be fast. For posteriors that conduct inference with MCMC and hence are slow, `run_sbc` exposes the use of multiple internal parallel workers to the user. To use this feature, add `num_workers = 2` to the parameters for use of two workers. See the API documentation for details.\n"
]
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {
"tags": []
},
@@ -308,7 +308,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "7053a4aca78c4977a1d58f80d271bea5",
+ "model_id": "84a1972b87db48d5967775f7840aaeb6",
"version_major": 2,
"version_minor": 0
},
@@ -334,21 +334,30 @@
"source": [
"`sbi` establishes two methods to do simulation-based calibration:\n",
"\n",
- "- metrics to compare the sbc ranks with a uniform distribution \n",
+ "- metrics to compare the sbc ranks with a uniform distribution\n",
"- control plots for visual inspections like fig. 1 or 2 in [Talts et al, 2018](https://arxiv.org/abs/1804.06788)\n",
"\n",
- "The `ranks` count is performed per dimension of `theta`, i.e. on the 1-D marginal posterior estimates. According to theory, the distribution of these ranks (per dimension of `theta`) should turn out to be uniformly distributed. \n",
+ "The `ranks` count is performed per dimension of `theta`, i.e. on the 1-D marginal posterior estimates. According to theory, the distribution of these ranks (per dimension of `theta`) should turn out to be uniformly distributed.\n",
"\n",
- "The data average posterior `dap` (see equation 1 of [Talts et al, 2018](https://arxiv.org/abs/1804.06788)) is yet another metric of interest. It is built from singular random samples of the estimated posterior samples for each `xs` above. The `dap` is expected to match the prior distribution used (see equation 1 in [Talts et al, 2018](https://arxiv.org/abs/1804.06788) too). "
+ "The data average posterior `dap` (see equation 1 of [Talts et al, 2018](https://arxiv.org/abs/1804.06788)) is yet another metric of interest. It is built from singular random samples of the estimated posterior samples for each `xs` above. The `dap` is expected to match the prior distribution used (see equation 1 in [Talts et al, 2018](https://arxiv.org/abs/1804.06788) too).\n"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/janteusen/qode/sbi/sbi/analysis/sbc.py:359: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+ " if (c2st_scores.std(0) > 0.05).any():\n"
+ ]
+ }
+ ],
"source": [
"check_stats = check_sbc(\n",
" ranks, thetas, dap_samples, num_posterior_samples=num_posterior_samples\n",
@@ -359,19 +368,19 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The `check_stats` variable created contains a dictionary with 3 metrics that help to judge our posterior. The \"first\" two compare the ranks to a uniform distribution."
+ "The `check_stats` variable created contains a dictionary with 3 metrics that help to judge our posterior. The \"first\" two compare the ranks to a uniform distribution.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Ranks versus Uniform distribution"
+ "### Ranks versus Uniform distribution\n"
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 12,
"metadata": {
"tags": []
},
@@ -381,13 +390,15 @@
"output_type": "stream",
"text": [
"kolmogorov-smirnov p-values \n",
- "check_stats['ks_pvals'] = [0.28580528 0.12618546]\n"
+ "\n",
+ " check_stats['ks_pvals'] = [0.14610633 0.03378298]\n"
]
}
],
"source": [
"print(\n",
- " f\"kolmogorov-smirnov p-values \\ncheck_stats['ks_pvals'] = {check_stats['ks_pvals'].numpy()}\"\n",
+ " f\"\"\"kolmogorov-smirnov p-values \\n\n",
+ " check_stats['ks_pvals'] = {check_stats['ks_pvals'].numpy()}\"\"\"\n",
")"
]
},
@@ -395,14 +406,14 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The Kolmogorov-Smirnov (KS test, see also [here](https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test#Two-sample_Kolmogorov%E2%80%93Smirnov_test)) as used by `check_sbc` provides p-values `pvals` on the null hypothesis that the samples from `ranks` are drawn from a uniform distribution (in other words `H_0: PDF(ranks) == PDF(uniform)`). We are provided two values as our problem is two-dimensional - one p-value for each dimension. \n",
+ "The Kolmogorov-Smirnov (KS test, see also [here](https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test#Two-sample_Kolmogorov%E2%80%93Smirnov_test)) as used by `check_sbc` provides p-values `pvals` on the null hypothesis that the samples from `ranks` are drawn from a uniform distribution (in other words `H_0: PDF(ranks) == PDF(uniform)`). We are provided two values as our problem is two-dimensional - one p-value for each dimension.\n",
"\n",
- "The null hypothesis (of both distributions being equal) is rejected if the p-values fall below a significance threshold (usually `< 0.05`). Therefor, vanishing p-values (`ks_pvals=0`) are interpreted to indicate a vanishing false positive rate to (mistakenly) consider both distrubtions being \"equal\". Both values are above `0.05` and we, therefore, cannot claim that inference clearly went wrong. Nonetheless, we can add additional checks:"
+ "The null hypothesis (of both distributions being equal) is rejected if the p-values fall below a significance threshold (usually `< 0.05`). Therefor, vanishing p-values (`ks_pvals=0`) are interpreted to indicate a vanishing false positive rate to (mistakenly) consider both distrubtions being \"equal\". Both values are above `0.05` and we, therefore, cannot claim that inference clearly went wrong. Nonetheless, we can add additional checks:\n"
]
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 13,
"metadata": {
"tags": []
},
@@ -412,7 +423,7 @@
"output_type": "stream",
"text": [
"c2st accuracies \n",
- "check_stats['c2st_ranks'] = [0.5765 0.5735]\n"
+ "check_stats['c2st_ranks'] = [0.568 0.5845]\n"
]
}
],
@@ -426,19 +437,19 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The second tier of metrics comparing `ranks` with a uniform distributions is a `c2st` test (see [here](http://arxiv.org/abs/1610.06545) for details). This is a nonparametric two sample test based on training a classifier to differented one of the ensembles (`ranks` versus samples from a uniform distribution) by being trained on the other. The values reported are the accuracies from cross-validation. If you see values around `0.5`, the classifier was unable to differentiate both ensembles, i.e. `ranks` are very uniform. If the values are high towards `1`, this matches the case where `ranks` is very unlike a uniform distribution."
+ "The second tier of metrics comparing `ranks` with a uniform distributions is a `c2st` test (see [here](http://arxiv.org/abs/1610.06545) for details). This is a nonparametric two sample test based on training a classifier to differented one of the ensembles (`ranks` versus samples from a uniform distribution) by being trained on the other. The values reported are the accuracies from cross-validation. If you see values around `0.5`, the classifier was unable to differentiate both ensembles, i.e. `ranks` are very uniform. If the values are high towards `1`, this matches the case where `ranks` is very unlike a uniform distribution.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Data averaged posterior (DAP) versus prior"
+ "### Data averaged posterior (DAP) versus prior\n"
]
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 14,
"metadata": {
"tags": []
},
@@ -447,7 +458,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "- c2st accuracies check_stats['c2st_dap'] = [0.474 0.488]\n"
+ "- c2st accuracies check_stats['c2st_dap'] = [0.5125 0.4975]\n"
]
}
],
@@ -459,26 +470,26 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The last metric reported is again based on `c2st` computed per dimension of `theta`. If you see values around `0.5`, the `c2st` classifier was unable to differentiate both ensembles for each dimension of `theta`, i.e. `dap` are much like (if not identical to) the prior. If the values are very high towards `1`, this represents the case where `dap` is very unlike the prior distribution."
+ "The last metric reported is again based on `c2st` computed per dimension of `theta`. If you see values around `0.5`, the `c2st` classifier was unable to differentiate both ensembles for each dimension of `theta`, i.e. `dap` are much like (if not identical to) the prior. If the values are very high towards `1`, this represents the case where `dap` is very unlike the prior distribution.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Visual Inspection"
+ "### Visual Inspection\n"
]
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 15,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
- "image/png": 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",
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",
"text/plain": [
""
]
@@ -503,19 +514,19 @@
"source": [
"The two plots visualize the distribution of `ranks` (here depicted in red) in each dimension. Highlighted in grey you see the 99% confidence interval of a uniform distribution given the number of samples provided. In plain english: for a uniform distribution, we would expect 1 out of 100 (red) bars to lie outside the grey area.\n",
"\n",
- "We also observe, that the entries fluctuate to some degree. This can be considered a hint that `sbc` should be conducted with a lot more samples than 1000. A good rule of thumb is that given the number of bins `B` and the number of SBC samples `N` (chosed to be `1_000` here) should amount to `N / B ~ 20`."
+ "We also observe, that the entries fluctuate to some degree. This can be considered a hint that `sbc` should be conducted with a lot more samples than 1000. A good rule of thumb is that given the number of bins `B` and the number of SBC samples `N` (chosed to be `1_000` here) should amount to `N / B ~ 20`.\n"
]
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 16,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -532,7 +543,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The above provides a visual representation of the cumulative density function (CDF) of `ranks` (blue and orange for each dimension of `theta`) with respect to the 95% confidence interval of a uniform distribution (grey)."
+ "The above provides a visual representation of the cumulative density function (CDF) of `ranks` (blue and orange for each dimension of `theta`) with respect to the 95% confidence interval of a uniform distribution (grey).\n"
]
},
{
@@ -541,7 +552,7 @@
"source": [
"# When things go haywire\n",
"\n",
- "Next, we would like to explore some pathologies visible in sbc plots which can hint at our estimated posterior being somewhat wrong or completely off."
+ "Next, we would like to explore some pathologies visible in sbc plots which can hint at our estimated posterior being somewhat wrong or completely off.\n"
]
},
{
@@ -550,12 +561,12 @@
"source": [
"## A shifted posterior mean\n",
"\n",
- "In this scenario we emulate the situation that our posterior estimates incorrectly with a constant shift. We reuse our trained NPE posterior from above and wrap it so that all samples returned expose a constant shift by `+0.1`."
+ "In this scenario we emulate the situation that our posterior estimates incorrectly with a constant shift. We reuse our trained NPE posterior from above and wrap it so that all samples returned expose a constant shift by `+0.1`.\n"
]
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
@@ -567,13 +578,13 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "6fe27c046ca14bd48780ae317f30d20c",
+ "model_id": "58559c5ef030462b81f3878da330a06c",
"version_major": 2,
"version_minor": 0
},
@@ -584,11 +595,19 @@
"metadata": {},
"output_type": "display_data"
},
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/janteusen/qode/sbi/sbi/analysis/sbc.py:359: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+ " if (c2st_scores.std(0) > 0.05).any():\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
- "{'ks_pvals': tensor([0., 0.]), 'c2st_ranks': tensor([0.6815, 0.6730]), 'c2st_dap': tensor([0.5025, 0.4935])}\n"
+ "{'ks_pvals': tensor([0., 0.]), 'c2st_ranks': tensor([0.6775, 0.6900]), 'c2st_dap': tensor([0.5160, 0.4925])}\n"
]
}
],
@@ -602,24 +621,22 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can see that the Kolmogorv-Smirnov p-values vanish (`'ks_pvals': tensor([0., 0.])`). Thus, we can reject the hypothesis that the `ranks` PDF is the uniform PDF. The `c2st` accuracies show values higher than `0.5`. This is indicative that the `ranks` distribution is not a uniform PDF as well."
+ "We can see that the Kolmogorv-Smirnov p-values vanish (`'ks_pvals': tensor([0., 0.])`). Thus, we can reject the hypothesis that the `ranks` PDF is the uniform PDF. The `c2st` accuracies show values higher than `0.5`. This is indicative that the `ranks` distribution is not a uniform PDF as well.\n"
]
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -631,19 +648,19 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Inspecting the histograms for both dimenions, the rank distribution is clearly tilted to low rank values for both dimensions. Because we have shifted the expected value of the posterior to higher values (by `0.1`), we see more entries at low rank values."
+ "Inspecting the histograms for both dimenions, the rank distribution is clearly tilted to low rank values for both dimensions. Because we have shifted the expected value of the posterior to higher values (by `0.1`), we see more entries at low rank values.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Let's try to shift all posterior samples in the opposite direction. We shift the expectation value by `-0.1`:"
+ "Let's try to shift all posterior samples in the opposite direction. We shift the expectation value by `-0.1`:\n"
]
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
@@ -652,13 +669,13 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "6a03e30496404b818bbb0c19cf1d6cc7",
+ "model_id": "aa27f852ae164295950130e2963967ca",
"version_major": 2,
"version_minor": 0
},
@@ -669,23 +686,29 @@
"metadata": {},
"output_type": "display_data"
},
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/janteusen/qode/sbi/sbi/analysis/sbc.py:359: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+ " if (c2st_scores.std(0) > 0.05).any():\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
- "{'ks_pvals': tensor([0., 0.]), 'c2st_ranks': tensor([0.6795, 0.6955]), 'c2st_dap': tensor([0.4910, 0.4955])}\n"
+ "{'ks_pvals': tensor([0., 0.]), 'c2st_ranks': tensor([0.6700, 0.6815]), 'c2st_dap': tensor([0.4790, 0.4940])}\n"
]
},
{
"data": {
- "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -702,14 +725,14 @@
"source": [
"A similar behavior is observed, but this time we see an upshot of ranks to higher values. Because we have shifted the expected value of the posterior to smaller values, we see an upshot in high rank counts.\n",
"\n",
- "It is interesting to see that the historgams obtained provide very convincing evidence that this is not a uniform distribution. \n",
+ "It is interesting to see that the historgams obtained provide very convincing evidence that this is not a uniform distribution.\n",
"\n",
"To conlude at this point, **the rank distribution is capable of identifying pathologies of the estimated posterior**:\n",
"\n",
- "+ a **left-skewed rank distribution** shows a systematic **underestimation of the posterior mean** \n",
- "(we shifted the posterior by `0.1`)\n",
- "+ a **rank-skewed rank distribution** shows a systematic **overestimation of the posterior mean** \n",
- "(we shifted the posterior by `-0.1`)"
+ "- a **left-skewed rank distribution** shows a systematic **underestimation of the posterior mean** \n",
+ " (we shifted the posterior by `0.1`)\n",
+ "- a **rank-skewed rank distribution** shows a systematic **overestimation of the posterior mean** \n",
+ " (we shifted the posterior by `-0.1`)\n"
]
},
{
@@ -718,12 +741,12 @@
"source": [
"## A dispersed posterior\n",
"\n",
- "In this scenario we emulate the situation if our posterior estimates incorrectly with a dispersion, i.e. the posterior is too wide or too thin. We reuse our trained NPE posterior from above and wrap it so that all samples return a dispersion by 100% more wide (`2`), i.e. the variance is overestimated by a factor of 2."
+ "In this scenario we emulate the situation if our posterior estimates incorrectly with a dispersion, i.e. the posterior is too wide or too thin. We reuse our trained NPE posterior from above and wrap it so that all samples return a dispersion by 100% more wide (`2`), i.e. the variance is overestimated by a factor of 2.\n"
]
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
@@ -735,13 +758,13 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "5fbe9fcd9c5e4e4ea0d3fa90149cc756",
+ "model_id": "8b09d915906348fea7a1f7fb73fe4564",
"version_major": 2,
"version_minor": 0
},
@@ -752,23 +775,29 @@
"metadata": {},
"output_type": "display_data"
},
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/janteusen/qode/sbi/sbi/analysis/sbc.py:359: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+ " if (c2st_scores.std(0) > 0.05).any():\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
- "{'ks_pvals': tensor([8.2151e-09, 6.9635e-07]), 'c2st_ranks': tensor([0.6150, 0.6160]), 'c2st_dap': tensor([0.5050, 0.4905])}\n"
+ "{'ks_pvals': tensor([8.1346e-08, 1.3010e-10]), 'c2st_ranks': tensor([0.6115, 0.6020]), 'c2st_dap': tensor([0.4990, 0.4785])}\n"
]
},
{
"data": {
- "image/png": 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",
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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -783,19 +812,19 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The rank histograms now look more like a very wide gaussian distribution centered in the middle. The KS p-values again vanish unsurprisingly (we must reject the hypothesis that both distributions are from the same uniform PDF) and the c2st_ranks indicate that the rank histogram is not uniform too. As our posterior samples are distributed too broad now, we obtain more \"medium\" range ranks and hence produce the peak of ranks in the center of the histogram."
+ "The rank histograms now look more like a very wide gaussian distribution centered in the middle. The KS p-values again vanish unsurprisingly (we must reject the hypothesis that both distributions are from the same uniform PDF) and the c2st_ranks indicate that the rank histogram is not uniform too. As our posterior samples are distributed too broad now, we obtain more \"medium\" range ranks and hence produce the peak of ranks in the center of the histogram.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can repeat this exercise by making our posterior too thin, i.e. the variance of the posterior is too small. Let's cut it by half."
+ "We can repeat this exercise by making our posterior too thin, i.e. the variance of the posterior is too small. Let's cut it by half.\n"
]
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
@@ -804,13 +833,13 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "ff39afff13e8495cab99ae88c5b588ee",
+ "model_id": "d17647acd7174190b4930c21b2c8dd5c",
"version_major": 2,
"version_minor": 0
},
@@ -821,23 +850,29 @@
"metadata": {},
"output_type": "display_data"
},
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/janteusen/qode/sbi/sbi/analysis/sbc.py:359: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+ " if (c2st_scores.std(0) > 0.05).any():\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
- "{'ks_pvals': tensor([1.1753e-07, 1.7929e-08]), 'c2st_ranks': tensor([0.5755, 0.6125]), 'c2st_dap': tensor([0.4980, 0.5075])}\n"
+ "{'ks_pvals': tensor([3.2357e-13, 7.3539e-14]), 'c2st_ranks': tensor([0.6035, 0.5755]), 'c2st_dap': tensor([0.5070, 0.5155])}\n"
]
},
{
"data": {
- "image/png": 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",
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QACAzAiAAQGYcAoYWxi99ALClBEAAnHsKmXEIGAAgMwIgAEBmBEAAgMwIgAAAmREAAQAy4yrgRubKOgCguREAAQA+h9ZwP1aHgAEAMiMAAgBkRgAEAMiMAAgAkBkBEAAgMwIgAEBmBEAAgMwIgAAAmREAAQAyIwACAGRGAAQAyIzfAt4E9f3m38ALLmjCSgAAtpwRQACAzAiAAACZcQgYAOpR32lAEU4F2ly2a3EZAQQAyIwACACQGQEQACAzAiAAQGYEQACAzLgKGIAWzdWk8Pm1iAC4sQ/3li7fnJtDS64dAGieHAIGAMhMixgBBABoKFt6ZLE1MAIIAJAZARAAIDMCIABAZgRAAIDMCIAAAJlxFTAAW6wx71nakq/YzPlersXcby3530xTEQBbufo+BK258QAAG+YQMABAZowAArBROf8kJ7RGRgABADJjBHALFftE02K/fkvV2KMRzr0EoDkzAggAkBkjgADQQjm3ks1lBBAAIDMCIABAZhwCBoBMNecL1hzeblwCII2mmD8NpTEAwIY5BAwAkBkBEAAgMw4Bh5spN1fNeb8059oAYGOMAAIAZMYIIAA0U4420FiMAAIAZMYIYMbcSgUA8iQAAgCfW7EPTxf79Vs6h4ABADJjBJCiac7f3ppzbQCwpQRAAIrOly5oWg4BAwBkxgggNDEjHQAUmwAIAFvAlzpaIoeAAQAy02xGAGtLSiJK88uj1dXV9U6vKeI22VhtG9Ocay9mbS1VbUlJsUsAoIEUPQCWlpZGm9raqCktzfJ/MKtXr653+toiBpWN1bYxzbn2YtbWkpWXl0epbQcNpjkfPm7OtbHlih4Ay8rKYpsPP4xU7EKKZI899qh3+ooPPmiiSta1sdo2pjnXXszaWrLddtstysrKil0GAFuo6AEwIqJNbW2xSyia9u3b1zu9bRG3zcZq25jmXHsxa2vJhL/mL9fTaerTkk9n2VJOh2l+msvRzmYRAHM2ddSoYpew2Zpz7c25NmgMuZ9OU59XfvrTeqfv8p3v1Du9JZ8ysrH37stCcTSH02kEQIBWIPfTabaEU0Zoas3hdBoBEKCVyPl0mi3hlBGaWrHDX4T7AAIAZEcABADIjAAIAJAZ5wCyQa6kBXKg15EjI4AAAJkRAAEAMiMAAgBkRgAEAMiMAAgAkBkBEAAgMwIgAEBmBEAAgMwIgAAAmREAAQAyIwACAGRGAAQAyIwACACQGQEQACAzAiAAQGYEQACAzAiAAACZEQABADIjAAIAZEYABADIjAAIAJAZARAAIDMCIABAZgRAAIDMCIAAAJkRAAEAMiMAAgBkRgAEAMiMAAgAkBkBEAAgMwIgAEBmBEAAgMwIgAAAmREAAQAyIwACAGRGAAQAyIwACACQGQEQACAzAiAAQGYEQACAzAiAAACZEQABADIjAAIAZEYABADIjAAIAJAZARAAIDMCIABAZgRAAIDMCIAAAJkRAAEAMiMAAgBkpu2mzJRSioiI5cuXN0oRH61Z0yjrBRpWY/WAz677037T2jR2H43QS6GlaKw+8Hn66CYFwBUrVkRERO/evbegLKDF69Kl0V9ixYoV0aUJXqep6aNAQSP3uE3poyVpE2JibW1tLFq0KDp37hwlJSUNVmDEP9Jq796945133omKiooGXTfFY7+2Po29T1NKsWLFiujVq1eUlra+s1Mas49G+My1RvZp69SY+/Xz9NFNGgEsLS2N7bffvkGK25CKigr/wFsh+7X1acx92hpH/j7VFH00wmeuNbJPW6fG2q+b2kdb39dsAADqJQACAGSm6AGwvLw8Lr744igvLy92KTQg+7X1sU+bN/un9bFPW6fmsl836SIQAABaj6KPAAIA0LQEQACAzAiAAACZEQABADJT9AB44403xo477hjt27ePIUOGxJ/+9Kdil8QGXHLJJVFSUlLnb7fdditMX716dYwZMya6desWW221VRx77LHxt7/9rc46Fi5cGEcccUR07Ngxtt122zj33HNj7dq1Tf1WsjV16tQ46qijolevXlFSUhL3339/nekppbjooouiqqoqOnToEMOHD48333yzzjzvv/9+HH/88VFRURGVlZVxyimnxMqVK+vM89JLL8VBBx0U7du3j969e8dVV13V2G8ta/poy6GPtg6toZcWNQDefffdcdZZZ8XFF18cf/7zn2PQoEExYsSIWLJkSTHLoh4DBw6Md999t/A3bdq0wrTvfe978eCDD8Y999wTTz31VCxatCi+9rWvFabX1NTEEUccEdXV1fH000/H7bffHhMmTIiLLrqoGG8lSx999FEMGjQobrzxxvVOv+qqq+L666+PW265JWbMmBGdOnWKESNGxOrVqwvzHH/88fHqq6/G448/Hg899FBMnTo1Tj311ML05cuXx2GHHRZ9+vSJmTNnxtVXXx2XXHJJ/OIXv2j095cjfbTl0UdbvlbRS1MR7b///mnMmDGFxzU1NalXr15p3LhxRayKDbn44ovToEGD1jtt2bJlqV27dumee+4pPPf666+niEjPPPNMSimlSZMmpdLS0rR48eLCPDfffHOqqKhIn3zySaPWzroiIt13332Fx7W1talnz57p6quvLjy3bNmyVF5enu68886UUkqvvfZaioj03HPPFeZ55JFHUklJSfrrX/+aUkrppptuSl27dq2zT88///zUv3//Rn5HedJHWxZ9tPVpqb20aCOA1dXVMXPmzBg+fHjhudLS0hg+fHg888wzxSqLjXjzzTejV69esdNOO8Xxxx8fCxcujIiImTNnxpo1a+rsz9122y122GGHwv585plnYo899ogePXoU5hkxYkQsX748Xn311aZ9I6xj/vz5sXjx4jr7sEuXLjFkyJA6+7CysjL23XffwjzDhw+P0tLSmDFjRmGegw8+OMrKygrzjBgxIubMmRMffPBBE72bPOijLZM+2rq1lF5atAD497//PWpqaur8I46I6NGjRyxevLhIVVGfIUOGxIQJE2Ly5Mlx8803x/z58+Oggw6KFStWxOLFi6OsrCwqKyvrLPPZ/bl48eL17u9Pp1Fcn+6D+j6Tixcvjm233bbO9LZt28bWW29tPxeBPtry6KOtX0vppW23eA1kY+TIkYX/3nPPPWPIkCHRp0+fmDhxYnTo0KGIlQG0DPoozUXRRgC7d+8ebdq0Wefqpr/97W/Rs2fPIlXF51FZWRm77rprzJ07N3r27BnV1dWxbNmyOvN8dn/27Nlzvfv702kU16f7oL7PZM+ePde5uGDt2rXx/vvv289FoI+2fPpo69NSemnRAmBZWVnss88+8cc//rHwXG1tbfzxj3+MoUOHFqssPoeVK1fGvHnzoqqqKvbZZ59o165dnf05Z86cWLhwYWF/Dh06NF5++eU6/+gff/zxqKioiN13373J66euvn37Rs+ePevsw+XLl8eMGTPq7MNly5bFzJkzC/NMmTIlamtrY8iQIYV5pk6dGmvWrCnM8/jjj0f//v2ja9euTfRu8qCPtnz6aOvTYnppg1xKspnuuuuuVF5eniZMmJBee+21dOqpp6bKyso6VzfRfJx99tnpySefTPPnz0/Tp09Pw4cPT927d09LlixJKaV02mmnpR122CFNmTIlPf/882no0KFp6NChheXXrl2bvvCFL6TDDjsszZo1K02ePDlts8026Qc/+EGx3lJ2VqxYkV544YX0wgsvpIhI1157bXrhhRfSggULUkopXXHFFamysjI98MAD6aWXXkqjRo1Kffv2TR9//HFhHYcffngaPHhwmjFjRpo2bVrq169fOu644wrTly1blnr06JG++c1vpldeeSXdddddqWPHjunnP/95k7/fHOijLYs+2jq0hl5a1ACYUko33HBD2mGHHVJZWVnaf//907PPPlvsktiA0aNHp6qqqlRWVpa22267NHr06DR37tzC9I8//jidfvrpqWvXrqljx47pmGOOSe+++26ddbz99ttp5MiRqUOHDql79+7p7LPPTmvWrGnqt5KtJ554IkXEOn8nnnhiSukfty+48MILU48ePVJ5eXn68pe/nObMmVNnHUuXLk3HHXdc2mqrrVJFRUU6+eST04oVK+rM8+KLL6YDDzwwlZeXp+222y5dccUVTfUWs6SPthz6aOvQGnppSUopbfk4IgAALUXRfwoOAICmJQACAGRGAAQAyIwACACQGQEQACAzAiAAQGYEQACAzAiAGbrkkktir732KnYZn9uOO+4YP/vZz7ZoHRMmTIjKysrC45a6LYDiaqm9Qx/lUwJgC/Dkk09GSUnJOj8QvrnOOeecOr9RmLPG2hZTp06No446Knr16hUlJSVx//33N/hrAJtOH208jbUtxo0bF/vtt1907tw5tt122zj66KNjzpw5Df46uRIAM5JSirVr18ZWW20V3bp126J1ffbHqRtivmJpiG2xPh999FEMGjQobrzxxgZfN1A8+ui6GquPPvXUUzFmzJh49tln4/HHH481a9bEYYcdFh999FGDv1aOBMAGMGzYsBg7dmyMHTs2unTpEt27d48LL7wwPvsrex988EGccMIJ0bVr1+jYsWOMHDky3nzzzcL0BQsWxFFHHRVdu3aNTp06xcCBA2PSpEnx9ttvx7/9279FRETXrl2jpKQkTjrppIiIqK2tjXHjxkXfvn2jQ4cOMWjQoLj33nsL6/z0G+8jjzwS++yzT5SXl8e0adPWGa6vra2NSy+9NLbffvsoLy+PvfbaKyZPnlyY/vbbb0dJSUncfffdccghh0T79u3j17/+9Xq3RUlJSdx8883x1a9+NTp16hSXX3551NTUxCmnnFKos3///nHdddfVWe6kk06Ko48+OsaPHx9VVVXRrVu3GDNmTL2N71e/+lVUVlbW+81zwoQJscMOO0THjh3jmGOOiaVLl9aZ/q/b4tM6fvKTn0SPHj2isrIyLr300li7dm2ce+65sfXWW8f2228ft9122wZfMyJi5MiRcdlll8UxxxxT73zAP+ij/6SP/sPkyZPjpJNOioEDB8agQYNiwoQJsXDhwpg5c2a9y7GJGuxXhTN2yCGHpK222ip997vfTbNnz07/+7//mzp27Jh+8YtfFOb56le/mgYMGJCmTp2aZs2alUaMGJF22WWXVF1dnVJK6YgjjkiHHnpoeumll9K8efPSgw8+mJ566qm0du3a9Nvf/jZFRJozZ056991307Jly1JKKV122WVpt912S5MnT07z5s1Lt912WyovL09PPvlkSumfP1a95557psceeyzNnTs3LV26NF188cVp0KBBhdquvfbaVFFRke688840e/bsdN5556V27dqlN954I6WU0vz581NEpB133DH99re/TW+99VZatGjRerdFRKRtt9023XrrrWnevHlpwYIFqbq6Ol100UXpueeeS2+99VZh+9x9992F5U488cRUUVGRTjvttPT666+nBx98cJ1t2KdPn/TTn/40pZTSlVdembp165ZmzJixwf3y7LPPptLS0nTllVemOXPmpOuuuy5VVlamLl26FOb5121x4oknps6dO6cxY8ak2bNnp//+7/9OEZFGjBiRLr/88vTGG2+kH//4x6ldu3bpnXfeqedfRd1tct99923SvJArffSf9NH1e/PNN1NEpJdffnmTl2HDBMAGcMghh6QBAwak2trawnPnn39+GjBgQEoppTfeeCNFRJo+fXph+t///vfUoUOHNHHixJRSSnvssUe65JJL1rv+TxvQBx98UHhu9erVqWPHjunpp5+uM+8pp5ySjjvuuDrL3X///XXm+dcPa69evdLll19eZ5799tsvnX766Smlfzaun/3sZxvdFhGRzjzzzI3ON2bMmHTssccWHp944ompT58+ae3atYXnvv71r6fRo0cXHn/auM4777xUVVWVXnnllXpf47jjjktf+cpX6jw3evTojTauPn36pJqamsJz/fv3TwcddFDh8dq1a1OnTp3SnXfeudH3mZIACJtCH/0nfXRdNTU16YgjjkgHHHDAJs3PxrVtwsHGVu2LX/xilJSUFB4PHTo0rrnmmqipqYnXX3892rZtG0OGDClM79atW/Tv3z9ef/31iIg444wz4jvf+U489thjMXz48Dj22GNjzz333ODrzZ07N1atWhWHHnponeerq6tj8ODBdZ7bd999N7ie5cuXx6JFi+KAAw6o8/wBBxwQL7744iavZ2Pz3XjjjXHrrbfGwoUL4+OPP47q6up1rhobOHBgtGnTpvC4qqoqXn755TrzXHPNNfHRRx/F888/HzvttFO9dbz++uvrHIIdOnRoncMy6zNw4MAoLf3n2RE9evSIL3zhC4XHbdq0iW7dusWSJUvqXQ/w+eij9c+Xcx8dM2ZMvPLKKzFt2rRNmp+Ncw5gM/Gtb30r3nrrrfjmN78ZL7/8cuy7775xww03bHD+lStXRkTEww8/HLNmzSr8vfbaa3XOX4mI6NSpU4PUuKnr+df57rrrrjjnnHPilFNOicceeyxmzZoVJ598clRXV9eZr127dnUel5SURG1tbZ3nDjrooKipqYmJEyduxjvYNOurY1NqA4pLH22dfXTs2LHx0EMPxRNPPBHbb799g9aZMwGwgcyYMaPO42effTb69esXbdq0iQEDBsTatWvrzLN06dKYM2dO7L777oXnevfuHaeddlr87ne/i7PPPjt++ctfRkREWVlZRETU1NQU5t19992jvLw8Fi5cGLvsskudv969e29y3RUVFdGrV6+YPn16neenT59ep7YtMX369PjSl74Up59+egwePDh22WWXmDdv3mata//9949HHnkkfvKTn8T48ePrnXfAgAHr3S9A86SPbliOfTSlFGPHjo377rsvpkyZEn379m2S182FQ8ANZOHChXHWWWfFt7/97fjzn/8cN9xwQ1xzzTUREdGvX78YNWpU/Nd//Vf8/Oc/j86dO8f3v//92G677WLUqFEREXHmmWfGyJEjY9ddd40PPvggnnjiiRgwYEBERPTp0ydKSkrioYceiq985SvRoUOH6Ny5c5xzzjnxve99L2pra+PAAw+MDz/8MKZPnx4VFRVx4oknbnLt5557blx88cWx8847x1577RW33XZbzJo1a4NXqH1e/fr1i//5n/+JRx99NPr27Rt33HFHPPfcc5v9Yf7Sl74UkyZNipEjR0bbtm3jzDPPXO98Z5xxRhxwwAExfvz4GDVqVDz66KMbPWzRUFauXBlz584tPJ4/f37MmjUrtt5669hhhx2apAZoafTRDcuxj44ZMyZ+85vfxAMPPBCdO3eOxYsXR0REly5dokOHDk1SQ2tmBLCBnHDCCfHxxx/H/vvvH2PGjInvfve7ceqppxam33bbbbHPPvvEkUceGUOHDo2UUkyaNKkwJF5TUxNjxoyJAQMGxOGHHx677rpr3HTTTRERsd1228WPfvSj+P73vx89evSIsWPHRkTEj3/847jwwgtj3LhxheUefvjhz90QzjjjjDjrrLPi7LPPjj322CMmT54cv//976Nfv34Nsm2+/e1vx9e+9rUYPXp0DBkyJJYuXRqnn376Fq3zwAMPjIcffjh++MMfbvAQzxe/+MX45S9/Gdddd10MGjQoHnvssfjhD3+4Ra+7qZ5//vkYPHhw4Tyis846KwYPHhwXXXRRk7w+tET66Ibl2Edvvvnm+PDDD2PYsGFRVVVV+Lv77rub5PVbu5KUPnOTJTbLsGHDYq+99trin9cByJU+Ck3LCCAAQGYEQACAzDgEDACQGSOAAACZEQABADIjAAIAZEYABADIjAAIAJAZARAAIDMCIABAZgRAAIDMCIAAAJn5PzzEKUAMuo0OAAAAAElFTkSuQmCC",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -852,7 +887,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The histogram of ranks now shoots above the allowed (greyed) area for a uniform distributed around the extrema. We made the posterior samples too thin, so we received more extreme counts of ranks. The KS p-values vanish again and the `c2st` metric of the ranks is also larger than `.5` which underlines that our rank distribution is not uniformly distributed."
+ "The histogram of ranks now shoots above the allowed (greyed) area for a uniform distributed around the extrema. We made the posterior samples too thin, so we received more extreme counts of ranks. The KS p-values vanish again and the `c2st` metric of the ranks is also larger than `.5` which underlines that our rank distribution is not uniformly distributed.\n"
]
},
{
@@ -861,25 +896,18 @@
"source": [
"We again see, **the rank distribution is capable of identifying pathologies of the estimated posterior**:\n",
"\n",
- "+ a **centrally peaked rank distribution** shows a systematic **over-estimation of the posterior variance** \n",
- "(we dispersed the variance of the posterior by a factor of `2`)\n",
- "+ a **U shaped rank distribution** shows a systematic **under-estimation of the posterior variance** \n",
- "(we dispersed the variance of the posterior by a factor of `.5`)\n"
+ "- a **centrally peaked rank distribution** shows a systematic **over-estimation of the posterior variance** \n",
+ " (we dispersed the variance of the posterior by a factor of `2`)\n",
+ "- a **U shaped rank distribution** shows a systematic **under-estimation of the posterior variance** \n",
+ " (we dispersed the variance of the posterior by a factor of `.5`)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Simulation-based calibration offers a direct handle on which pathology an estimated posterior examines. Outside of this tutorial, you may very well encounter situations with mixtures of effects (a shifted mean and over-estimated variance). Moreover, uncovering a malignant posterior is only the first step to fix your analysis. "
+ "Simulation-based calibration offers a direct handle on which pathology an estimated posterior examines. Outside of this tutorial, you may very well encounter situations with mixtures of effects (a shifted mean and over-estimated variance). Moreover, uncovering a malignant posterior is only the first step to fix your analysis.\n"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -901,7 +929,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.10.11"
+ "version": "3.8.18"
},
"name": "13_diagnosis_sbc.ipynb"
},
diff --git a/tutorials/14_iid_data_and_permutation_invariant_embeddings.ipynb b/tutorials/14_iid_data_and_permutation_invariant_embeddings.ipynb
index 7910c3cdc..56377ceba 100644
--- a/tutorials/14_iid_data_and_permutation_invariant_embeddings.ipynb
+++ b/tutorials/14_iid_data_and_permutation_invariant_embeddings.ipynb
@@ -6,22 +6,24 @@
"source": [
"# SBI with iid data and permutation-invariant embeddings\n",
"\n",
- "There are scenarios in which we observe multiple data points per experiment and we can assume that they are independent and identically distributed (iid, i.e., they are assumed to have the same underlying model parameters). \n",
- "For example, in decision-making experiments, the experiment is often repeated in trials with the same experimental settings and conditions. The corresponding set of trials is then assumed to be \"iid\" given a single parameter set. \n",
- "In such a scenario, we may want to obtain the posterior given a set of observation $p(\\theta | X=\\{x_i\\}_i^N)$. \n",
+ "There are scenarios in which we observe multiple data points per experiment and we can assume that they are independent and identically distributed (iid, i.e., they are assumed to have the same underlying model parameters).\n",
+ "For example, in decision-making experiments, the experiment is often repeated in trials with the same experimental settings and conditions. The corresponding set of trials is then assumed to be \"iid\" given a single parameter set.\n",
+ "In such a scenario, we may want to obtain the posterior given a set of observation $p(\\theta | X=\\{x_i\\}_i^N)$.\n",
"\n",
"### Amortization of neural network training: iid-inference with NLE / NRE\n",
- "For some SBI variants the iid assumption can be exploited: when using a likelihood-based SBI method (`SNLE`, `SNRE`) one can train the density or ratio estimator on single-trial data, and then perform inference with `MCMC` or variational inference (`VI`). Crucially, because the data is iid and the estimator is trained on single-trial data, one can repeat the inference with a different `x_o` (a different set of trials, or different number of trials) without having to retrain the density estimator. One can interpet this as amortization of the SBI training: we can obtain a neural likelihood, or likelihood-ratio estimate for new `x_o`s without retraining, but we still have to run `MCMC` or `VI` to do inference. \n",
"\n",
- "In addition, one cannot only change the number of trials of a new `x_o`, but also the entire inference setting. \n",
+ "For some SBI variants the iid assumption can be exploited: when using a likelihood-based SBI method (`SNLE`, `SNRE`) one can train the density or ratio estimator on single-trial data, and then perform inference with `MCMC` or variational inference (`VI`). Crucially, because the data is iid and the estimator is trained on single-trial data, one can repeat the inference with a different `x_o` (a different set of trials, or different number of trials) without having to retrain the density estimator. One can interpet this as amortization of the SBI training: we can obtain a neural likelihood, or likelihood-ratio estimate for new `x_o`s without retraining, but we still have to run `MCMC` or `VI` to do inference.\n",
+ "\n",
+ "In addition, one cannot only change the number of trials of a new `x_o`, but also the entire inference setting.\n",
"For example, one can apply hierarchical inference with changing hierarchical denpendencies between the model parameters--all without having to retrain the density estimator because it estimates single-trail likelihoods.\n",
"\n",
"### Full amortization: iid-inference with NPE and permutation-invariant embedding nets\n",
- "When performing neural posterior estimation (`SNPE`) we cannot exploit the iid assumption directly. \n",
- "Thus, the underlying neural network takes `x` as input and predicts the parameters of the density estimator. \n",
+ "\n",
+ "When performing neural posterior estimation (`SNPE`) we cannot exploit the iid assumption directly.\n",
+ "Thus, the underlying neural network takes `x` as input and predicts the parameters of the density estimator.\n",
"As a consequence, if `x` is a set of iid observations $X=\\{x_i\\}_i^N$ then the neural network has to be invariant to permutations of this set, i.e., it has to be permutation invariant. In addition, the neural network has to be able to consume a varying number of iid datapoints in order to be amortized over the number of trials.\n",
- "Therefore, in order to use `SNPE` for inference on iid data, we need to provide a corresponding embedding network that handles the iid-data. \n",
- "This will likely require some hyperparameter tuning and more training data for inference to work accurately. But once we have this, inference is fully amortized, i.e., we can get new posterior samples almost instantly without retraining and without running `MCMC` or `VI`. "
+ "Therefore, in order to use `SNPE` for inference on iid data, we need to provide a corresponding embedding network that handles the iid-data.\n",
+ "This will likely require some hyperparameter tuning and more training data for inference to work accurately. But once we have this, inference is fully amortized, i.e., we can get new posterior samples almost instantly without retraining and without running `MCMC` or `VI`.\n"
]
},
{
@@ -30,13 +32,13 @@
"source": [
"## SBI with trial-based data\n",
"\n",
- "For illustration, we use a simple linear Gaussian simulator, as in previous tutorials. The simulator takes a single parameter (vector) which is the mean of a Gaussian. The simulator then adds noise with a fixed variance (set to one). \n",
- "We define a Gaussian prior over the mean and perform inference. \n",
+ "For illustration, we use a simple linear Gaussian simulator, as in previous tutorials. The simulator takes a single parameter (vector) which is the mean of a Gaussian. The simulator then adds noise with a fixed variance (set to one).\n",
+ "We define a Gaussian prior over the mean and perform inference.\n",
"\n",
- "The observed data is also sampled from a Gaussian with some fixed \"ground-truth\" parameter $\\theta_o$. \n",
- "Crucially, the observed data `x_o` can consist of multiple samples given the same ground-truth parameters and these samples are iid given $\\theta$: \n",
+ "The observed data is also sampled from a Gaussian with some fixed \"ground-truth\" parameter $\\theta_o$.\n",
+ "Crucially, the observed data `x_o` can consist of multiple samples given the same ground-truth parameters and these samples are iid given $\\theta$:\n",
"\n",
- "$$ \n",
+ "$$\n",
"\\theta \\sim \\mathcal{N}(\\mu_0,\\; \\Sigma_0) \\\\\n",
"x | \\theta \\sim \\mathcal{N}(\\theta,\\; \\Sigma=I) \\\\\n",
"\\mathbf{x_o} = \\{x_o^i\\}_{i=1}^N \\sim \\mathcal{N}(\\theta_o,\\; \\Sigma=I)\n",
@@ -44,7 +46,7 @@
"\n",
"For this toy problem, the ground-truth posterior is well defined, it is again a Gaussian, centered on the mean of $\\mathbf{x_o}$ and with variance scaled by the number of trials $N$, i.e., the more trials we observe, the more information about the underlying $\\theta_o$ we have and the more concentrated the posteriors becomes.\n",
"\n",
- "We will illustrate this below:"
+ "We will illustrate this below:\n"
]
},
{
@@ -105,7 +107,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "### The analytical posterior concentrates around true parameters with increasing number of IID trials "
+ "### The analytical posterior concentrates around true parameters with increasing number of IID trials\n"
]
},
{
@@ -129,9 +131,16 @@
"execution_count": 4,
"metadata": {},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "WARNING:root:upper is deprecated, use offdiag instead.\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -166,7 +175,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Indeed, with increasing number of trials the posterior density concentrates around the true underlying parameter."
+ "Indeed, with increasing number of trials the posterior density concentrates around the true underlying parameter.\n"
]
},
{
@@ -175,7 +184,7 @@
"source": [
"## IID inference with NLE\n",
"\n",
- "(S)NLE and (S)NRE can perform inference given multiple IID obserations by using only single-trial training data (i.e., for training, we run the simulator only once per parameter set). Once the likelihood is learned on single trials (i.e., a neural network that predicts the likelihood of a single observation given a parameter set), one can sample the posterior for any number of trials. This works because, given a single-trial neural likelihood from (S)NLE or (S)NRE, we can calculate the joint likelihoods of all trials by multiplying them together (or adding them in log-space). The joint likelihood can then be plugged into `MCMC` or `VI`. `sbi` takes care of all of these steps, so you do not have to implement anything yourself:"
+ "(S)NLE and (S)NRE can perform inference given multiple IID obserations by using only single-trial training data (i.e., for training, we run the simulator only once per parameter set). Once the likelihood is learned on single trials (i.e., a neural network that predicts the likelihood of a single observation given a parameter set), one can sample the posterior for any number of trials. This works because, given a single-trial neural likelihood from (S)NLE or (S)NRE, we can calculate the joint likelihoods of all trials by multiplying them together (or adding them in log-space). The joint likelihood can then be plugged into `MCMC` or `VI`. `sbi` takes care of all of these steps, so you do not have to implement anything yourself:\n"
]
},
{
@@ -186,7 +195,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "5c4eac9f56954a598631db3ed5ad5b20",
+ "model_id": "b5c1495392ff4db78e6ff0b86149eea4",
"version_major": 2,
"version_minor": 0
},
@@ -201,7 +210,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 43 epochs."
+ " Neural network successfully converged after 47 epochs."
]
}
],
@@ -220,12 +229,12 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "708831283b0547569d015fcfb9c7fd90",
+ "model_id": "50bd3f26d7f4404aae8cf3f4a3dcdd9d",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "Running vectorized MCMC with 50 chains: 0%| | 0/75000 [00:00, ?it/s]"
+ "Running vectorized MCMC with 50 chains: 0%| | 0/27500 [00:00, ?it/s]"
]
},
"metadata": {},
@@ -235,7 +244,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/janbolts/qode/sbi/sbi/utils/sbiutils.py:342: UserWarning: An x with a batch size of 5 was passed. It will be interpreted as a batch of independent and identically\n",
+ "/Users/janteusen/qode/sbi/sbi/utils/sbiutils.py:341: UserWarning: An x with a batch size of 5 was passed. It will be interpreted as a batch of independent and identically\n",
" distributed data X={x_1, ..., x_n}, i.e., data generated based on the\n",
" same underlying (unknown) parameter. The resulting posterior will be with\n",
" respect to entire batch, i.e,. p(theta | X).\n",
@@ -245,12 +254,12 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "2e3634f9fac04af3b49d3263464f9a6c",
+ "model_id": "9ee21c9379df4cc1a9c27737fc182796",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "Running vectorized MCMC with 50 chains: 0%| | 0/75000 [00:00, ?it/s]"
+ "Running vectorized MCMC with 50 chains: 0%| | 0/27500 [00:00, ?it/s]"
]
},
"metadata": {},
@@ -260,7 +269,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/janbolts/qode/sbi/sbi/utils/sbiutils.py:342: UserWarning: An x with a batch size of 15 was passed. It will be interpreted as a batch of independent and identically\n",
+ "/Users/janteusen/qode/sbi/sbi/utils/sbiutils.py:341: UserWarning: An x with a batch size of 15 was passed. It will be interpreted as a batch of independent and identically\n",
" distributed data X={x_1, ..., x_n}, i.e., data generated based on the\n",
" same underlying (unknown) parameter. The resulting posterior will be with\n",
" respect to entire batch, i.e,. p(theta | X).\n",
@@ -270,12 +279,12 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "b31aef511ea84ab7b657651ac078127a",
+ "model_id": "b3d872b38d264c09a885ba128bf2a8d4",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "Running vectorized MCMC with 50 chains: 0%| | 0/75000 [00:00, ?it/s]"
+ "Running vectorized MCMC with 50 chains: 0%| | 0/27500 [00:00, ?it/s]"
]
},
"metadata": {},
@@ -285,7 +294,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/janbolts/qode/sbi/sbi/utils/sbiutils.py:342: UserWarning: An x with a batch size of 20 was passed. It will be interpreted as a batch of independent and identically\n",
+ "/Users/janteusen/qode/sbi/sbi/utils/sbiutils.py:341: UserWarning: An x with a batch size of 20 was passed. It will be interpreted as a batch of independent and identically\n",
" distributed data X={x_1, ..., x_n}, i.e., data generated based on the\n",
" same underlying (unknown) parameter. The resulting posterior will be with\n",
" respect to entire batch, i.e,. p(theta | X).\n",
@@ -295,12 +304,12 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "5452859656d9465fa32d4fb56253e386",
+ "model_id": "77919d363d91483697932f3ddecc591b",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "Running vectorized MCMC with 50 chains: 0%| | 0/75000 [00:00, ?it/s]"
+ "Running vectorized MCMC with 50 chains: 0%| | 0/27500 [00:00, ?it/s]"
]
},
"metadata": {},
@@ -314,8 +323,8 @@
"\n",
"mcmc_parameters = dict(\n",
" num_chains=50,\n",
- " thin=10,\n",
- " warmup_steps=50,\n",
+ " thin=5,\n",
+ " warmup_steps=10,\n",
" init_strategy=\"proposal\",\n",
")\n",
"mcmc_method = \"slice_np_vectorized\"\n",
@@ -334,7 +343,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Note that `sbi` warns about `iid-x` with increasing number of trial here. We ignore the warning because that's exactly what we want to do."
+ "Note that `sbi` warns about `iid-x` with increasing number of trial here. We ignore the warning because that's exactly what we want to do.\n"
]
},
{
@@ -342,9 +351,18 @@
"execution_count": 7,
"metadata": {},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "WARNING:root:upper is deprecated, use offdiag instead.\n",
+ "/Users/janteusen/qode/sbi/sbi/analysis/plot.py:116: RuntimeWarning: invalid value encountered in divide\n",
+ " cum_probs /= cum_probs[-1]\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -379,9 +397,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The pairplot above already indicates that (S)NLE is well able to obtain accurate posterior samples also for increasing number of trials (note that we trained the single-round version of SNLE so that we did not have to re-train it for new $x_o$). \n",
+ "The pairplot above already indicates that (S)NLE is well able to obtain accurate posterior samples also for increasing number of trials (note that we trained the single-round version of SNLE so that we did not have to re-train it for new $x_o$).\n",
"\n",
- "Quantitatively we can measure the accuracy of SNLE by calculating the `c2st` score between SNLE and the true posterior samples, where the best accuracy is perfect for `0.5`:"
+ "Quantitatively we can measure the accuracy of SNLE by calculating the `c2st` score between SNLE and the true posterior samples, where the best accuracy is perfect for `0.5`:\n"
]
},
{
@@ -394,8 +412,8 @@
"output_type": "stream",
"text": [
"c2st score for num_trials=1: 0.50\n",
- "c2st score for num_trials=5: 0.51\n",
- "c2st score for num_trials=15: 0.51\n",
+ "c2st score for num_trials=5: 0.49\n",
+ "c2st score for num_trials=15: 0.52\n",
"c2st score for num_trials=20: 0.51\n"
]
}
@@ -416,9 +434,9 @@
"source": [
"## IID inference with NPE using permutation-invariant embedding nets\n",
"\n",
- "For NPE we need to define an embedding net that handles the set-like structure of iid-data, i.e., that it permutation invariant and can handle different number of trials. \n",
+ "For NPE we need to define an embedding net that handles the set-like structure of iid-data, i.e., that it permutation invariant and can handle different number of trials.\n",
"\n",
- "We implemented several embedding net classes that allow to construct such a permutation- and number-of-trials invariant embedding net. \n",
+ "We implemented several embedding net classes that allow to construct such a permutation- and number-of-trials invariant embedding net.\n",
"\n",
"To become permutation invariant, the neural net first learns embeddings for single trials and then performs a permutation invariant operation on those embeddings, e.g., by taking the sum or the mean (Chen et al. 2018, Radev et al. 2021).\n",
"\n",
@@ -426,12 +444,12 @@
"\n",
"In order to implement this in `sbi`, \"unobserved\" trials in the training dataset have to be masked by NaNs (and ignore the resulting SBI warning about NaNs in the training data).\n",
"\n",
- "### Construct training data set."
+ "### Construct training data set.\n"
]
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
@@ -460,12 +478,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Build embedding net"
+ "### Build embedding net\n"
]
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
@@ -501,12 +519,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Run training"
+ "### Run training\n"
]
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
@@ -520,7 +538,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Neural network successfully converged after 168 epochs."
+ " Neural network successfully converged after 165 epochs."
]
}
],
@@ -540,18 +558,19 @@
"metadata": {},
"source": [
"### Amortized inference\n",
- "Comparing runtimes, we see that the NPE training takes a bit longer than the training on single trials for `NLE` above. \n",
"\n",
- "However, we trained the density estimator such that it can handle multiple and changing number of iid trials (up to 20). \n",
+ "Comparing runtimes, we see that the NPE training takes a bit longer than the training on single trials for `NLE` above.\n",
+ "\n",
+ "However, we trained the density estimator such that it can handle multiple and changing number of iid trials (up to 20).\n",
"\n",
"Thus, we can obtain posterior samples for different `x_o` with just a single forward pass instead of having to run `MCMC` for each new observation.\n",
"\n",
- "As you can see below, the c2st score for increasing number of observed trials remains close to the ideal `0.5`. \n"
+ "As you can see below, the c2st score for increasing number of observed trials remains close to the ideal `0.5`.\n"
]
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 12,
"metadata": {
"scrolled": false
},
@@ -559,7 +578,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "7b2946f18f634a1f8670b59d01a35c8e",
+ "model_id": "84881e2ac4c84f1199d33c30c63770da",
"version_major": 2,
"version_minor": 0
},
@@ -573,7 +592,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "39b65d79766c47049c9179239e58e4ce",
+ "model_id": "21e28a2ea66b4b7f965ee12e113b8f7a",
"version_major": 2,
"version_minor": 0
},
@@ -587,7 +606,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "c9bbdf2b121241c0b8b62d033f481800",
+ "model_id": "44763daaea824b84811fa698fad35e08",
"version_major": 2,
"version_minor": 0
},
@@ -601,7 +620,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "2472b611e7634ad2aa4382807501fd7a",
+ "model_id": "9e7c21bbe1ca4d5d831b29ad52ead94f",
"version_major": 2,
"version_minor": 0
},
@@ -616,10 +635,10 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "c2st score for num_trials=1: 0.50\n",
- "c2st score for num_trials=5: 0.50\n",
+ "c2st score for num_trials=1: 0.52\n",
+ "c2st score for num_trials=5: 0.52\n",
"c2st score for num_trials=15: 0.52\n",
- "c2st score for num_trials=20: 0.55\n"
+ "c2st score for num_trials=20: 0.54\n"
]
}
],
@@ -639,13 +658,13 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "569de46ccc734c55b709e205868a5330",
+ "model_id": "5392c16925034c2dbcb80692b6e05a8b",
"version_major": 2,
"version_minor": 0
},
@@ -659,7 +678,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "c84c3704f9d14e089bdb8f6427db619f",
+ "model_id": "94cd08fb2c1f4778833b93d48b3f047f",
"version_major": 2,
"version_minor": 0
},
@@ -673,7 +692,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "0e1a192da69e4b1986b0cdb9ee0c6ba5",
+ "model_id": "c774e109c0da4ff1baf2557775646eec",
"version_major": 2,
"version_minor": 0
},
@@ -687,7 +706,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "40b1854b403b455588a912105f3275c1",
+ "model_id": "ec9c97e9d7ab4ff4bf9723abcf26e4cb",
"version_major": 2,
"version_minor": 0
},
@@ -698,9 +717,16 @@
"metadata": {},
"output_type": "display_data"
},
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "WARNING:root:upper is deprecated, use offdiag instead.\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
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DRESkIacPDf5u9QVsLZ9qQxQ0pE0L+C3Ki73EVB9t64hz0rHOTIzQ0bcNMWIcAFgVChoiIiIidSloSJtWVlgFNnicwaBhxrtwe2rHy2RtLjrg/c3q21qV9Q8uEhEREWmrFDSkTQttBE9MCA4eMuP2nmG5e9NBgoaWTomIiIjUS0FD2rSS6qNtE6oDhhm396TTg3U0DE/10ikFDREREZG9KGhImxbqaMS5g4HBjN87aOzZXUZlqa/B+2vplIiIiEj9FDSkTasZ1ld97NS+S6cAdm8qbPD+oaChpVMi0tptzCkltyT4M9NhGhGuRkSigYKGtGmhjoa7+nfmvkunAHZtbHj5VM3SKZ06JSKt2Ja8Mi55dh5l3gCDMpIY2iX54HcSkTZPQUPatNAeDVf1kd77Lp0C2LWhsMH7hzaDa+mUiLRW2/LLuPiZeeSUVDEwPZFXrhmP06GXDyJycPpJIW1aqKNh+q3gn/UsncrbXoKvqv4goaVTItKa7Sgo55Jn55NVXEm/jgm8cs142sW7I12WiEQJBQ1ps7yVfqrKgwHB8AaDhGOfpVMJKTFYlk3WlvqXT5nVS6dsn4UdsJqwWhGR5pVZWMHFz84js7CC3mnxvDp9PB0SYiJdlohEEQUNabNK9wSXTbk9DuzqPRb7djTS+wTXIe9uYPmUEVN7ey2fEpHWIquokkuencfOPRX0bB/H69Mn0DHRE+myRCTKKGhIm1UzrC81BttXvXRqnz0a6X1SgIY3hBsOA6P6aFxbG8JFpBXIKQ6GjG355XRvF8fr106gU5JChogcOgUNabNCHY3k5OqlAAY1oSEko7qjkb2liEADS6PMWA3tE5HWIbekioufncfmvDK6pMTy2vTxZCTHRrosaWUKKxqeTyWti4KGtFklBdUdjcRgF8PwODH2ORs+NT2OmHgnfq9FQWZZvY9jaGifiLQC+aVVXPrcPDblltE52cN/rp1A19S4SJclrUSix0X3dsHvp6kzFlBY7o1wRdIcFDSkzQp1NBLjg0EhdFRtXYZh0C4jHoA92fUHDZ08JSLRbk+Zl0ufm8/67FI6JcXw2vQJdGunkCHh4zANZl45lg4JMazeXczlMxZQpM5Gq6egIW1WaXVHI87TcNAASOkY/GVblFNR7/Whk6e0dEpEolFRuY/LZsxnbVYJaYkxvD59Aj07xEe6LGmF+nZM4LXp42kf72ZFZhFTZy6guFJhozVT0JA2K9TRiK3el9FQ0EjuGFyfXJhdXu/1WjolItGqqMLH5TPns2pXMR0S3Lw+fTy90xIiXZa0Yv07BYc+psS5WL6jkCtnLqC0Sm/UtVYKGtIm2bZd09FwO4P7MkKdiX2ldAp2NAoP1tHQqVMiEkVKKn1cMXMBP+4sol28m1evmUDfjomRLkvagKMyknjl6vEkeZws2V7ItOcXUu7V79DWSEFD2qSqMj/+6iNt3UYwaIQ6E/uqXTpVjm3b+10f6oRoj4aIRIvSKj9XPr+QZTsKSYlz8crV4xmQrpAhzWdIl2ReuWY8iR4nC7YWMO2FhVR4tTKgtVHQkDappHqGRmyiC6p/sO07rC8kOS24dKqq3E9l2f5rSbV0SkSiScCyufqFhSzetockj5NXrh7PoM5JkS5L2qBhXVN4ado4EmKczNtcwLUvL6r3DT2JXgoa0iaFlk0lpHpqljyZDXQ0nG4HCanBWRuF2fsvn9JmcBGJJiszi5i/pQCPy+Tlq8czpEtypEuSNmxk91RenDYWt9NkzoY81mWXRLokCSMFDWmTQhvBE1JjaiZ6N7QZHGr3aRTl7L8hXMfbikg08VYPH81IjmV4t5TIFiMCjO7RjrSE4Bt6Xn/9w3ElOiloSJtUWr10KrGdp6YTccCgUb1Po76Tp7R0SkRERGR/ChrSJpUUhDoatUunjAMEjZojbus5eSoUULR0SkRERKSWgoa0SaGORkK7mJpOREN7NKDuEbf1LZ0K7tHQ0ikRERGRWgoa0iaVVnc0Ett5sMobv3SqviNua5ZOVQR0WoaIiIhItYZfWYm0UpZlU1oYDBrxKW6Kqg4eNBI7eDBMA7/XoqzQW3MKFdTphFg2ts/CcNc/+E9ERMIrtzyXxdmLI11Go3WK78SItBEY1fObRFo7BQ1pc8qLvNiWjWEaxMY4KapuQhxo6ZTDYZLU3kNRbgVFOeV7BQ3DbQZ7g1b18ikFDRFpweZuzAfAYUb3i91V+auY/tl0SrzRdRzqtCHTuHXUrQob+wh9P87dlM+wrimRLUbCRkFD2pzQ/oz4FDdUVZ8U5TQxXAdeSZjSKY6i3AoKc8rpMiC15nLDMDBinNgVfqzKAA7NvRKRFuq5OZt5+Iv1AFw6vnuEqzl8awvWcu1n11LiLaFbYjfS49MjXdJBBawAS3KWMHPlTJymk1+O/GWkS2pRLh7Xnb9/upa//W8tCTFOLpvQI9IlSRgoaEibU1I9rC+x7rC+AyybCqk5eaqeI27NWCeBCr9OnhKRFuvFuVu57+M1ANw8pR9XHd0rwhUdnvV71jP9s+kUe4sZljaMp096mgR3QqTLapRXVr/C3xf+nWd+fAan6eT64ddHuqQW4xfH9aaw3MvT327mD++txGkaXDQuesOwBGkzuLQ5NcP69pqhcfDlTjWzNOo74jam+uSpCgUNEWl5Xp2/jXs+WAXADcf34baT+kW4osOzqXAT0z+bTmFVIUPaD+Gpk56KmpABcNmgy/jVmF8B8OSyJ3luxXMRrqjlMAyD3502kGnVAfj3767grcU7I1yVHCkFDWlzao623WsquOug96t78tS+amdpaGifiLQs/124nf97dyUA107uza9PHRCV+wO2FG3h6llXU1BZwFHtjuKpk58i0Z0Y6bIO2RWDr+CWUbcA8OiSR3lh5QuRLagFMQyDu848iism9sC24ddvLefdpQob0UxBQ9qc0nqG9YVmYRxIcqfg0qmi3Aosq4EjbrV0SkRakLcW7+R376wA4Kqje/L70wZGZcjYVryNq2ddTX5lPgNSB/DMyc+QHJMc6bIO2zVDr+HGETcC8ODiB3l59csRrqjlMAyDP549mEvGd8e24Y43lvPB8l2RLksOk4KGtDmhjkZiu5g6S6cOvkcjMdWDw2liBWxK8iv3uk5D+0SkpXlvaSa/fms5tg1TJ/bg7jMHRWXI2FGyg6tnXU1uRS59U/ryzCnPkOJJiXRZR+wXw3/BdcOuA+AfC//Ba2tei3BFLYdhGNx3zhAuHNMNy4bb/ruMT1bsjnRZchgUNKTNKdmzf0fDaETQMEyjZkP4vsunTI+WTolIy7Eys4jb31iGbcMl47vzp7MHR2XIyCzN5OpZV5Ndnk2v5F48e8qztPO0i3RZYXPjiBu5esjVAPx1wV95Y90bEa6o5TBNg7+eP5TzR3UhYNnc/PpSZq3KinRZcogUNKRNCfgsKoq9ACS0i6mzdKpxB7DVbgjfO2gY1R0NS5vBRaQFWLxtD5YN43q2475zhkRlyMgqy+LqWVezu2w3PZN6MuOUGXSI7RDpssLKMAxuGXULVw6+EoA/z/sz72x4J7JFtSCmafDAz4ZzzojO+C2bm15bwpdrsiNdlhwCBQ1pU0oLg0uenC4TT7yrzmbwxgWNmiNu9zl5KhRUtHRKRFqStKQYzCgczJddls20WdPILM2kW2I3njvlOdLi0iJdVpMwDIPbR9/OZUddBsAf5/6R9ze+H+GqWg6HafDgz4dzxrAMfAGb619ZwtfrciJdljSSgoa0KTUbwdt5MAyjZqlTY4NGQydP6dQpEZHwyC3P5ZrPrmFHyQ66JHRh5qkz6RTfKdJlNSnDMPjN2N9w4YALsbG56/u7+Hjzx5Euq8VwOkweuXAEpw1JxxuwuPblxXy3IS/SZUkjKGhIm1JS52hb4JAG9gHEV9+vvHr5VUjN0il1NEREDlteRR7XfHYNW4u3khGfwYxTZ0TF1O9wMAyDO8ffyc/6/wwbmzu/u5NPt34a6bJaDJfD5NGLRnLSUZ3w+i2ueWkhP2zKj3RZchAKGtKm1O1oQG3QMBq5R8MTH5y3UVnq2+tyLZ0SETkyeyr3MP2z6Wwu2kynuE7MOHUGXRK6RLqsZmUaJndNuIvz+p6HZVv87tvf8cW2LyJdVovhdpo8celIThzYkUqfxbQXFrJgS0Gky5IDUNCQNqX0CDsasQkHDhpaOiUicuiKqoqY/tl0NhZuJC02jRmnzqBbYrdIlxURpmFyz8R7OKv3WQTsAL/+5tfM3j470mW1GDFOB09eOorJ/dOo8AW48vkFLN6msNFSKWhIm1JS3dFITA12NOxDmKMB4KkOGn6fhc9bGyp06pSIyOHxBrxM/2w66/aso72nPTNOnUGPpB6RLiuiHKaDPx/9Z07rdRp+28/t39zOtzu/jXRZLYbH5eCZy0dzTN8OlHsDXDFzIWuziiNdltRDQUPalJqORrsYbL+F7bOAxgcNV4wD0xk8waVuVyN0f9sbwN5nariIiDRsSc4S1hSsIdGVyIxTZ9AruVekS2oRHKaDvxzzF07pcQp+y89ts29jbubcSJfVYnhcDp6dOoYxPVIprfLzxsKdkS5J6qGgIW1KaT3D+jDAiHE06v6GYRBbzz6NmjkcNthVWj4lItJYvkDwZ2m3pG70SekT4WpaFqfp5G+T/8aU7lPwWl5unn0z83bPi3RZLUas28HRfYOzVXwBK8LVSH0UNKTN8Fb48VaHi4TU2mF9RowT4xDOmfckuIG9g4bhNKG606GTp0REJFxcposHJj/A8V2PpypQxS+//CULsxZGuiyRRlHQkDYjdLRtTJwTt8dZEwjM2MZ1M0I8CcHuRUXZ3kfcakO4iIg0BZfDxYPHP8ixXY6lMlDJjV/eyJLsJZEuS+SgFDSkzai7bAoO/cSpEE/8/h0NqHPErTaEi4hImLkdbh4+4WEmdZ5Ehb+C67+4nmU5yyJdlsgBKWhIm1FaEOxoJLYLHm0bCgRmI2dohISOuK3YJ2hoaJ+IiDSlGEcMj57wKOPTx1PuL+f6L65nRe6KSJcl0iAFDWkzwtbRaGiWRvXjWNoMLiIiTcTj9PDYiY8xptMYSn2lXPfFdazKXxXpskTqpaAhbUaoo5FQ3dEIdR6McAUNLZ0SkRYgYNnM3ZQHgOsQDrqIBNu2+WH3D0DwhCVpnDhXHE9MeYJRHUdR4i3h/nn3R7okkXopaEibUVIzFTzU0Qh2Hg61o9HQ0qnazeAKGiISGQHL5tdvLmfWqmycpsEFY1v2dO0nlz/Jy6tfBuCC/hdEuJroEueK41djfgVAXkVehKsRqZ+ChrQZpaGp4Ee4R6Omo1HW0B4NLZ0SkeZnWTa/e/tH3lmaicM0+NclI5nUp0Oky2rQ08uf5qnlTwHwm7G/4Zy+50S4ouhjGnoZJy2bvkOlTbBte/89GqHjbeMO9dSpgyydUkdDRJqZZdn833sreXPxTkwDHr1oBD8ZkhHpsho0Y8UM/rXsXwDcPvp2Lh90eYQrEpGmoKAhbUJFiY+A3wID4lOq92gcaUej1Idt2zWXmzp1SkQiwLZt7vlgFa8v2I5pwMMXjuDMYZ0jXVaDXlz1Io8seQSAm0fezFVDropsQSLSZBQ0pE0ord6fEZfkxuEMftvXTAY/5D0awTkaAb+Fr84JU0Zoj4Y2g4tIM7Ftm3s/Ws3L87ZhGPDAz4ZzzogukS6rQa+ueZV/LvonADeMuIHpw6ZHuCIRaUo64kHahJKaGRqemssO93hbp9vE4TIJ+CwqS324qwNG7dIp7dEQkaZn2zZ//d9anv9+KwB/P38YPx3dNbJFHcB/1/6Xvy34GwDXDruW64dfH+GKGmb5LSy/dVj3NR0GhtHAaV+mgdHCTwITCScFDWkTSvKrg0b72qAR2ksRWvLUWIZhEJvgonRPFZVlPpI6xAYfJ1ZLp0Skedi2zQOz1vHMt5sBuP+8IS36hKm317/NffPvA2DakGncNOKmCFfUsG2fbSPw5XbcTZAHzAQX7S4aiKdvSlgft8JfQbmvnDhXXFgfV+RIaemUtAk1HY3qjeC2ZdfpaLgO+fE89RxxW7N0Sh0NEWliD3+xgSe/3gTAn84ezKXje0S4ooa9t/E9/vTDnwCYOmgqt466teF3/CNsxxfb4cttTRIyAKxSH/kvrqJqc1FYHq9HUg8SXYkUVhVy81c3U+mvDMvjioSLOhrSJtQcbVvd0bC9Aajexx3qRByK+k6eMmOCj6NTp0SkKT325QYe+3IDAHedOYgrJvWMbEEH8OGmD7n7+7uxsbn0qEv51ZhftdiQsfPrHVifb8VhGBTFOul14wgMx6HV6i338ekzKynMriAhNYYzfzmMxHbBrrcdsNnzxjoq1+0h74WVdJg2hJieyUdUc4I7gSdPepLrPr+O+VnzuWX2LTx24mPEOGKO6HFFwkUdDWkT9t2jUbNh22lguA4jaNQzHTzU0bB9FnbArvd+IiJH4smvN/LQ5+sBuPP0gVx9TK8IV9SwTzZ/wh++/wM2NhcOuJDfjv1tiw0Zmd/uxP+/LcGQ4XEy4LdjiesQS2yq55A+krskcubto4jvGEvhnio+eHIF5RV+TI8TR7yL9pcNIqZfCrbXIm/mKqq2Fx9x7SM6juDfJ/2bWGcsc3fN5bbZt+ENeMPwVRE5cgoa0iaEgkbCPkHjUI+2DYmN339oX929HnaVuhoiEl7PfruZf3y6DoBfnzqAayf3iXBFDZu1dRZ3fncnlm3x034/5c7xd7bYkLHr+0x8H2/GaRgUxzgY8NuxOA/zdwNAfHIM5942iqS0WIrzKnnvoaWUFQa76obLpP3lg4jpnYztDZA3YyXeHSVH/DmM6jSKJ6Y8gcfhYU7mHO74+g58Ad/B7yjSxBQ0pNXzVQVqOg+hpVOHe+JUSL17NBwmhqv66Fzt0xCRMJr53Rbu/2QNALef3J8bT+gb4Yoa9uX2L/ndt78jYAc4t++53D3x7hY7wXr3vN1UfbApGDLcDvr9ZgzOw/y9UFdCagzn3jaSxPYeinIreO/hpZQVBcOG6XbQ/srBuHslYVcFyJ2xEm9m6RE/59j0sTw+5XFiHDF8vfNrfv3tr/FZChsSWS3zX75IGIW6GW6Pg5jYvad3H37QCM7SqCzduz1taGifiITZyz9s5d6PVgNw84l9uXlKvwhX1LBvdnzDr775FX7bz1m9z+KPE//YYkNG1sIsKt/dgMswKHaZ9P3NGFzx7rA9fmI7D+feNpKEdjEUZpfz/iPLKC8O/s4w3Q46XDkEd48k7Eo/eTNW4N115GFjQsYEHj3hUVymqybw+S39PpLI0WZwafVKC/Y/2vZIOxqx9ezRADBjnFglPs3SEJGweG9pJne9vwqA64/vw20n949wRQ1blLWI276+Db/l57Sep/Hno/+Mwzz0PXDhsntjIcu+3IFVz565WG+AXrtL6oSMsbgTwhcyQpI6xHLubSN576Gl7NldxvuPLOXc20cSm+DGjHHQ4arB5M1ciXd7CXkzVtDxxpE468x7OhxHdzmaR054hFtm38Jn2z4j/od47j363jB9RiKHpmW+zSASRvUP6wsGAeMw1+HWt3Qq+HjVHQ3t0RCRMHjxh60AXDGxB785dUCL3ecA8NaGt/BZPo7vejx/OfYvEQ0ZAEs+287mpbls/TFvr4+ClXn03BUMGSVOk96/GoM7MfwhIyQ5LY5zbh1JXLKbgl1lfPDospr9fabHSYdpQ3Clx2OV+SlfnhOW55zcdTIPHvcgAO9ufJcyX1lYHlfkUKmjIa1eaFhfwl5Bo/qH/BHu0divo6Hp4CISRr5AcDr1CQM7tuiQAdRsPp7UZRJOM/IvL0KTvY+alEF6n+AxsmaJl7i5mZheC6udhz6/GIY7qemPgk3pFMe5t43k3YeWkrejlA8eXcY5t44gJs6F6XHi7pmEL6sM2x++Ewsnd51c83ctn5JIUUdDWr2SPfV1NI5wj0adU6dsu/YXQ2iWhjoaIiItQ5f+KQw6ujP9+qWQtCgL02vh6ppA11+ObJaQEZKaHs+5t44kNtFF7vYSPnhsOVUV+l0hrZuChrR6oY7GXkGjvDpoxB36VHCo7WhYARtfne6FpoOLiLQ8vtxycp9dgVXqw5URT9q0IYf9RtORaNc5nnNuHYkn3kXO1mI+enwZXh0eIq2Ygoa0evtOBQewyquXTsUf3i8al9uB0x3851N3n0ZoloaWTomItAxGmY+8Z1dglXhxpcfR4Zqhh/0mUzi075LA2beOICbOSdbmYj7613Ks6iVyIq2Ngoa0albAorR6UNJeHY3SUNA4/F829U4Hj9HxtiIiLUWcCZ7vMgkUe3F2CoYMxxH83A+XtG6JnH3LCNyxTnZvLGLbyvxIlyTSJBQ0pFUrK/JiWzamwyAuqfZUkVBH40h+4cRWH4VYUWeWRs1m8Cp1NEREIsnlt5gU78Ss8ONMiyXtmqE4muAI28PVsUcSZ908HJfHUTM5XJ0NaW0UNKRVCx1tm5Aag2EGT2yxbZtA2ZHt0YA6HY2yukunQns01NEQkSOzKbeU7fnlALgc+nV9KEr3VNIup4x4h4GV4CJt+jAcTXiE7eFK75XMWb8cgVn9/9+Ni3Lw+/RGlbQe+sklrVp9G8FtnwXVxx4e0dKp+HqWTmkyuIiEwda8Mi55dh7FlX4GpicypmdqpEuKGmWFVbz38FIcvuDP+eQp3XEktbyQEZLRJ5keQ9sDUJRXwafPrCTgU2dDWgcFDWnV6h3WF+pAOA0M9+H/E6hvaJ/maIjIkdpRUM4lz84ju7iK/p0SePWa8cQ4Izv8LlqUF3t5/5GlFOVU4HQFf747Y1r+1y4+OXjMrmkabFuRz6znVhLQMippBRQ0pFUrLahnWF910HDEuY5oAFZsPUunajaDa4+GiByGnXvKueiZeewqqqRPWjyvXjOB9gnNN+shmlWUeHnv4aXsySonITWGjj2TIl3SIes3thMOl8mW5Xl8/twqhQ2Jegoa0qrVdDTa7x80jmTZFNS/dKr2eFstnRKRQ7OrsIJLnp1PZmEFvTvE8/r0CaQlKmQ0RkVpsJOxZ3cZ8SkxnHv7SJzult/J2FdSh1hO/8VQTKfBpqW5fDFztTaIS1RT0JBWraRg/6NtA6FhfUcaNOo73rbOwL66E8NFRA4kq6iSS56dx/aCcnq0j+O16RPomOQ5+B2FyjIfHzy6jPzMMuKS3Zx720iS0+IiXdZh6z64PaddNxTTYbBxcQ5fvLAGy9LvE4lOChrSatm2fcA9GkcaNGLr3aNR/Q6aZddsOBcROZCckmDI2JpfTtfUWF6bPoH0ZIWMxqgqD4aMvB2lxCa6OPe2kaR0it6QEdJzaAdOnT4E0zTYsDCb2S+twVbYkCikoCGtVlWZH3/1XomE1NrlBzVBI+7wpoKHeKrPY6+sM0fDcDmgetuHpQ3hItIIN7yyhM15ZXRJieX16RPokhIb6ZKOSH5F8w2f+/LFNeRuL8GT4OKc20aSmh4f9ueYO3cuEyZMYO7cuWF/7APpPSKNU64ZjGEarJ2XxdLPtzfr84uEg4KGtFqhbkZsomuvtbrhGNYHdfZolPlr3mkyTEPTwUWkTRqeNhyAZ1c8y6dbPm2W58zaUgzAKVcPpn3nhCZ5jscff5z58+fzr3/9q0ke/0D6jOrI2DN6ApC1uajZn1/kSCloSKtV37IpAKs0TJvBE6qPsrVsqipqQ4WOuBWRQ/HkpaPo3SGezMIKLnluHrsKKyJd0mG5bNBlnN/vfCzb4ndzfsfn2z5vtueOa6I5GXl5ebz11lsAvPnmm+Tl5TXJ8xxIU31uIs1BQUNarfpOnAIIlIcnaDhdDlzV3Yt6j7hVR0NEGqFjkofXpk+gR/s4dhRUcPGz88gqqox0WYfMNEzumXgPZ/c5m4Ad4Dff/Iavtn8V6bKOyIsvvohlBffbWZbFSy+9FOGKRKLLkS1SF2nBSuqZoQFglVWfOhV3ZEEDgidP+aoCwZOnOgYvq+loaJaGiDRSerKH16dP4MJnfmBbfnBg33+ujb6Tp0zD5N5J9+K3/Hyy5RPu+OYOHj3hUSZ3nRzp0g4qMzOT7OzsvS578skna04QtG2bJ554guOPP36v23Tq1IkuXbo0V5kiUUVBQ1qt0LC+xNR9gkaYOhoQPHmqJL+y3pOn1NEQkUPROSWW166ZwEXPzGNzXhmXPDc/KmdpOEwH9x9zPwE7wKyts7h19q08fuLjHN3l6EiXdkAXX3wxc+bM2esywzD2ChqbN29m9OjRe91m8uTJfPPNN81Wp0g00dIpabXKi4OnQcUl165vtS27zmbwI8/Z9Q3tqztLQ0TkUHRrF8fr0yeQkexhY04plz03n4Iy78Hv2MI4TSd/PfavnNT9JHyWj1tm38K83fMiXdYBXXPNNXg8HgzDqLnsQPOQDMPA4/Fw9dVXN0d5IlFJQUNardCL/9C8C6ie2F093iJcS6dg7z0aZoymg4vI4eseGtiXGMO67BIufW4+Vf7oe+PCZbr4x+R/cHzX46kKVPHLL3/JyryVTfJc4RiQOnXqVBYvXky/fv0wzQO/PDJNk/79+7N48WKmTp16xM8t0lopaEirFVrOFJtY29EIVAcCI8aB4Tzyb391NESkKfTqEM/r104gyeNkze5iFm3dE+mSDovL4eLB4x9kfMZ4KgOVvLvh3bA+flz1z/e5b2/E7zvyn7mDBg1iyZIl/PznPz/g7S644AKWLFnCoEGDjvg5RVozBQ1plSzLrukyeOp0NKzy6o3gYdifUfex6w7tC+3R0GZwETkSfdIS6N4+OOXaF7AiXM3hczvcjE8fD4DfDm+n97hLBuCMcbBjzR7+99QKAr4j/zrFx8dz3HHH7bWEqi7DMDjuuOOIi4v+CeQiTU1BQ1qlqjIfVHfS9woaZeHbCA61y7Iqy+rM0dDxtiIizSKjTzJn3TQMp9tk+6oCPn1mBQH/kYeNxYsX43A46r3O4XCwePHiI34OkbZAQUNapYqSYKCIiXPicNR+m4eChiMuPAeuxVQHloo6HY2apVPqaIiINLnO/VI544ZhOFwmW1fkM+vZlQSOsAM0b948/H4/TqcTj8fDbbfdhsfjweFw4Pf7+eGHH8JUvUjrpqAhrVLohX/d/RkQ3qNtoYGOhkebwUVEmlPXge044/phOJwmW5bn8fmMVXCYG8QrKytZu3YtAH369GHx4sU89NBDLF68mD59+gCwdu1aKiujb6iiSHNT0JBWKbQ527NPoAhtBg/HiVNQ/x4NbQYXEWl+3Qa147RfDMV0Gmxakkt+ZulhPU5FRQVDhgzhqquu2mvDd2ij+JVXXsnQoUMVNEQaQQP7pFWqPXFq70BRMxU8IUxBIz7YMaks82PbNoZh6HhbEZEI6TGkPT+5diifPr2CsiIvCS7zkBsbqampLFmypN4jbuPj43n++eexLOugR+CKiDoa0kpVlFQvnUrYN2iE9miEq6MRzOq2ZeOtqA4x2qMhIhIxvYZ14NRrhoTOA2HPwixs69DSRmPmaISLVenHu7UYAMO590lXlmWzfXVB8Dkdesm2r0pfgB825QPg0tenRdL/V6RVCnU0PA3u0QhPM8/pcuCs7mCEntOoc7ztof5yExGRI9d7ZBqlneKxbBtjazGF721skT+PrUo/eTNX4ssqw4xzEjcsrfY6y+arF9eweWkupmkweHLnCFba8lT6Alz78mIWbC0g3u3gZ6O7RrokqYeChrRKlQfpaIRrMzhAbPze08FDHQ3QLA0RkUgp8ThZUh7ABsoWZFH4waawTBAPF6sqQN7zq/BuL8GMc9LhmqE428cCwS757FfWsm5+FoZpcMr0wXQb2C7CFbccVf4AN7y6hG/X5xLrcvD8VeMY1Dkp0mVJPRQ0pFWqbyo4QCC0RyNMS6eg7obw6o6G04Tq9rdVpX0aIiKRkumzqRrdCQwom7ebog83t4iwYXkD5L2wEu+2YgyPkw5XD8XdOQEIhoyvX1/H2rm7MQw4edog+ozsGOGKWw6v3+LGV5fy1docPC6TmVeOZVwvhbCWSkFDWqWapVN1Ohp2wKrZoB3OjkZN0KjuaACYMdV7N3TylIhIRAW6JZL6034AlM7dRdHHWyIaNixvgPwXV+HdUowR4yDt6iG4u1SHDNvm2/+uZ/WcXRgGnHTVIPqN6RSxWlsaX8Di5teX8sWabGKcJs9NHcvEPu0jXZYcgIKGtEr1LZ2yyqu7CwaYseE7cC10hG6oowG1szQ0HVxEJPLix6STcn5fAEq/y6T4060RCRu2zyL/5dVUbSrCcDvoMG0I7m6Jwetsm+/e3MDKbzLBgBOvOIr+49KbvcaWyh+wuPW/y/h0VRZuh8kzU8dwTL8OkS5LDkLH20qrY9t2vUunavZnxDkxTKPe+zaG3/KzOn81C7IWMH/3fNJyh9CFoXsFDc3SEBFpWRLGZUDApvD9TZR8sxNMg8TjGthAbBqYbschP4dt2w3vzbNsCv67jqoNhRhukw7TBhPTI6nmfnPf3siPX+0E4ITLBjJwQsYhP39rFbBs7nhzOR//uBuXw+Cpy0dxXP+0g99RIk5BQ1odb2UAKxB8p6puRyMcw/o+2fwJf1vwN/ZU7am5bLQ/hS4MpaCwqOaymlka2qMhImGQW1IV6RJahYSJnbEtm6IPN1Myewcls3c0eNu4UR1J/Wl/DEfj3pgKlHrJf3E13h0lB7yd4TLpcOVgYnomA8GQMe+9zSz7IljLcZcMYNDROmGqrqe+2cT7y3bhNA2euGQUJw7UcrJooaAhrU5ohoYzxoGzzjtStUfbHnrQKPOV8Zf5f+GDTR8AkOROYmz6WMamj2Vu4RoA5m1ZyKTK3qR4UtTREJGwGN09lZWZxdz9/iq6tYtjQm+tRz9SiUd3ARuKZ23F9lkN3q58SQ52wKbdBQMOGjYCZT7yngseU3sgZoKLdhcNIKZ3Ss1lCz7cwpJZ2wA49sL+DJncpfGfTBuxdHshALed3J9TBms5WTRR0JBWJ7SEqcGjbQ+xo7EqfxW//ubX7CjZgWmYXDfsOq4ddi1OM/jPp3/+OhasySRQATd+dSPPnvxszR4NTQcXkSNx5xlHsTW/nG/W5zLthYW8OG0cY3vqhJ0jlXhMFxImdqahseGV6/eQ/+oaKpbnssc0SP15/waX3FrlPvJmrAjOwkh0kVbnmNr9mMZej7Pw4y0s+mQrAMf8vB/DTtAsiANpH+8++I2kRdFmcGl1KhoMGsEX/Y6ExgeNtflruXrW1ewo2UFGfAbPn/o8N4y4oSZkAKS3D64TjfMn8WPuj9wz9x6MmNBmcHU0ROTwxTgdPH35aI7t14Fyb4ArZy5gyfY9B7+jHJThMDCcZr0fsYPa0/6SgWAalC/NYc/bG+od+GdV+smduRLfrjLMBBdp04fh6hTf4OPWDRmLP93Kgg+3ADDp/L4Mn9Kt2T53keaioCGtTmjplCdhn6ngh9HRuHX2rZT5yhjTaQxvnvUmozqN2u82oeNt08xgO3fW1lmUOyqDz6mOhogcIY/LwTOXj2Fi7/aUeQNcMWMBy3cURrqsVi92cAfaXTwATChfnL3fdPGaqd47SzHjnaRdMxRXx7hGPfbSz7cz773NAEw4tzcjT+neJJ+DSKQpaEirU7N0KnHvQBGo2aPR+BWDBVUFDEgdwGMnPkZyTHK9twkdbxsoh9EdR2Njs7ZsPaDJ4CISHrFuBzOuHMO4Xu0oqfJz+Yz5rMwsOvgd5YjEDU2j3YUDggP/6kwX32+q99VDcaXHN+oxl3+5g7lvbwRg3Fm9GP2Tnk34GYhEloKGtDoV9czQgMZ3NMp95TV/z4jP4N8n/ZtEd2KDtw91NCzL5sxuZwOwpHBp8DItnRKRMIlzO5l55VjG9EiluNLPpc/NZ/Wu4kiX1erFDe9I6gUDaqaLF76/qcGp3gez4uudfPfmBgDGnN6TsWf0asrSRSJOm8Gl1alvhgbUDuw72KlTL61+qebvj53wGGlxBz6r2+V24HSZ+H0WR7ebTIwjhm1VwWMKtRlcRMIpIcbJ81eNZerMBSzdXsilz83jg5uOoVu7xi3ZibTvdn7HtZ9du9/lpmlyTp9zOK3XaWF/znDM5Ysf2RECFnve2kDZvN0A+031PphVczL59j/BbveoU7sz7qymDRmRnH4uEqKgIa1OaOmUZ9+ORvXljgMEDW/Ay7sb3q357x7JPRr1nJ4EF6V7qjC9bk7sfiJ5RduDz6mlUyISZokeFy9OG8fP//0D67JL+N/K3Vw7uU+kyzqgDrHBCc45FTnkVOTUe5vvM7+nxFvCBQMuCMtzxiUF32xa+MlWug5sR0JqzBE9XvyYdGzLpvCdjftN9T6Y1d/v4utX1wEw4qRuTDi3D4Zx+INjD8ayLf4878/Bul3xxDobOAVLpIkpaEir0+DSqUbM0fh066d7DeNrrFDQqCz1cXafs3l81QPB51RHQ0SaQJLHxYhuKazLLsEXaPnvXJ/V5yzax7anqKr+fSVLcpbw1vq3+PO8P+M0nZzf7/wjfs5xZ/dm18ZCinMreP+RpZx7+0jik48sbCSMy8DdJREz3okzxdOo+6ydt5vZr6wFYNgJXZn0075NGjJs2+a+effx7sZ3MQ2TP078I26HjoWVyFDQkFanvqVTljdQM5ipoc3gtm3z6ppXD+s5QxvCK0u9TBg0gafjgr+AqsorDuvxRERaE6fpZHLXyQ1ef2bvM4lxxPDqmlf549w/4jAcnNP3nCN6zsR2Hs65dSTvPrSEwuxy3n94KefePqqm03G4GrtUCmD9giy+enEN2DDkuC4cc0G/Jg8Zf5n/F95c/yYGBvcfcz8/6fWTJns+kYPRZnBpdSrqWToV6mbgMDDqTAuva3nuclbnr8ZlHvrk8FD3pLLMj9N0MqnXMcErKhueOisiIkGGYfDbsb/lwgEXYmNz1/d38fHmj4/4cZM6xHLubaNISI1hT1Y57z+ytKbr3dQ2LMrmi+dXY9sw6JjOTL6wf5OHjH8s/Af/WfcfDAz+fPSfObP3mU32fCKNoaAhrYrfG8BfvS9ir45GaCN4nLPBH/SvrXkNgJ/0PPR3f0IdjYrS4C+wKf1OBsBpOygs03AtEZGDMQyDO8ffyU/7/RQbmzu/u5NPt356xI+bnBbLObeOJD7ZTcGuMt5/ZFnNXr6msmlpDp/PDIaMgZMyOP6SAQ1OFg8H27Z5aPFDvLLmFQD+OOmPR9wREgkHBQ1pVULdDNNh4PbUdi5qgkZs/d2K7LJsPt/2OcBhbUT01OloAPTrNKDmutkbvzrkxxMRaYtMw+TuiXdzbt9zsWyL3337O77Y9sURP25KpzjOuW0kcUlu8jNLef/RpVSWNU3Y2LI8l8+eXYVt2QwYn84Jlw1s8pDx2NLHeGHVCwDcNeGusOxxEQkH7dGQVqVmWF+Ca6/OhVURmqFR/7f8G+vfwG/7GdVxFAPaDaj3NgdSEzSqOxqGaeB3BnD6HSzZsYjzhv/0kB9TRKQtCm1gDlgBPtz8Ib/+5tc8dPxDnND9hCN63NT0eM65dSTvPbyEvB2lfPjYMgYd0zlMVQdVlfuZ/8FmLMum35iOnHjFUZhNGDIAnlz+JM+teA6AO8ffGbZTu0TCQUFDWpXQ2lvPvjM0KkIdjf2/5f2Wn7fWvwXApUddeljPW9vRqH2HzPS4oNRiQ9Y6vAGvTv0QkbByOYMvYOdsyOXqY3rhcdW//ywaOUwHfz76z/gtP//b+j9u/+Z2Hj3h0QNuKG+Mdp2rw8ZDS8nZVkLOtnVhqnhvfUalcdJVg5o8ZDy9/GmeWv4UAL8Z+xsuHnhxkz5fJOwuqmDVruBpZS6HFuJEGwUNaVUq6nQ06qpdOrX/t/yPuT9SUFlAkjuJE7ufSFVF1SE/b2x8METUXffrjvPgLy3H4TVYlL2ISZ0nHfLjiog05MIx3Xl7cSbzNhdw/SuLeery0cQ4W1fY+Muxf8Fv+/l82+fcNvs2Hj/xcSZ1ObKfpe27JHDuHSNZOms73iY4grx91wTGnN4Ts4lfFD+34jn+texfANw++nYuH3R5kz5fJGQXV3LxM/PYXVRJ93ZxTDmqY6RLkkOkoCGtSoMzNEIdjbj992jMyZwDwNFdjsZpOqni0ING7dKpuh2N4C/8eCuWOTvnKGiISFgN7ZrMzCvHctULC5i9LpcbX13Kk5eOwu1sPe/6Ok0nf5/8d6xvLL7c/iU3z76Zf035FxMyJhzR47bvnMBJVw0KU5XN78VVL/LokkcBuHnkzVw15KoIVxR+OSWVXPzsPLbml9M1NZbXr51ASpxWBkSb1vPTSIQ6R9vus3TKPsDSqW93fgtwRC35UNCoKPNh28HhWYYn+FzxAQ/fZX532I8tItKQiX3a89zUscQ4Tb5Yk83Nry/FF2hdx2q7TBcPTH6A47seT1Wgil9++UsWZi2MdFkR88rqV/jnon8CcMPwG5g+bHqEKwq/vNIqLn12Pptzy+ic7OH16RPokqLp5tFIQUNalcqDTQXfZzN4VlkW6/esx8Dg6M5HH/bzho63tfw2vurjdUMdjUQrga3FW9levP2wH19EpCHH9OvAM1PH4HaYfLoqi1v/uwx/awsbDhcPHv8gx3Q5hspAJTd+eSNLspdEuqxm95+1/+HvC/8OwLXDruX6EddHuKLwKyjzctlz89mQU0p6kofXr51At3ZxkS5LDpOChrQq9U0Fh4b3aIQ6DUPThpLqST3s53W6TRyu4D+n0PIpszp89Pf0AWqXaImIhNtx/dN46vJRuBwGH/+4mzveXE7AsiNdVli5HW4eOeERJmZMpMJfwfVfXM+ynGWRLqvZvLn+Te6ffz8A04ZM46YRN0W4ovArLA+GjLVZJXRMjOG16ePp0T4+0mXJEVDQkFalsqHN4A3s0ahZNtXlyE4yMQyjpqsROnnKUf3ffV29AAUNEWlaJw7sxBOXjMJpGry/bBe/fqv1hY0YRwyPnvgo49LHUe4v5/ovrmdF7opIlxUW5b5yiqqK6v14e/3b3PvDvQBMHTSVW0fd2qRTxiOhqMLH5TMWsHp3MR0S3Lw2fQK90xIiXZYcIW0Gl1alZo9GQ0GjTkfDG/Ayb/c8AI7teuwRP7cnwUVZYVVtR6O6hgwzeErGoqxFVPgriHVqnamINI1TBqfz+MUjuen1pbyzJJOB6YlcO7lPpMsKq1hnLI+f+Dg3fHkDi7MXc90X1/HcKc8xqH10bu62bZvHlz7OzJUzCdiBA9720qMu5VdjftXqQgbA797+kRWZRbSLD4aMvh0VMloDdTSkVak9dergS6cWZy+mwl9BWmwaR7U76oifO9RFqdhn6VRsVQwZ8RlUBara9AZGEWkepw3N4MYT+gKwfGdRhKtpGnGuOJ6Y8gQjO46kxFvC9M+ms7ZgbaTLOmShqd7Prnj2gCHDaTi5YtAV/Hbsb1tlyAD4sfp79aELhtO/U2KEq5FwUUdDWo1AwKKqOlDEJtZ2NOyAhe2t3qBdZzN4aNnUMV2OCcsP7v2XTgXDjlXm49gRx/LG+jeYs3POEQ+cEhE5mPbxrf8Y0HhXPE9OeZLrvriOH3N/ZPpn05lx6gz6p/aPdGmNVneq9+/H/b7Bqd4GBg6z9cxIOZB2beB7ty1RR0NajZoZFgbExNcGjdCyKYzaI2ehdiN4OJZNwf6zNEJLpwKlvprnmJM5p+b4WxEROTIJ7gSeOukpBrcfTGFVIdM/m86mwk2RLqtR9p3qfclRl+A0nfV+tJWQIa2Pgoa0GqEX+J54F6ZZ26EILZsyYpwY1ZdvL97O1uKtOA0nEzMmhuX59+1ohJZO2ZV+xnYYg9N0klmayfYSHXMrIhIuie5Enj75aY5qdxQFlQVcPetqthRtiXRZBzRjxYxWP9VbBBQ0pBU5+FTw2m5G6ASoUZ1GkeAOz4az/Toasc6af2Een4uRHUcC8MOuH8LyfCIiEpQck8wzJz9D/9T+5Ffmc82sa1rs7KIXV73II0seAVrvVG+REAUNaTXKi4NBIy55n43g9QWNncGgcWyX8Cybgv03gxumUXOcbqDUV9M5mbtrbtieU0REglI8KTx7yrP0TelLTkUO02ZNY0fJjkiXtZe2MNVbpC5tBpdWoyZoJMXsdXnNVPDqE6fKfeU1pz+Fc2P2vkunILh8yir1YZX5mNR5Eo8tfYyFWQvxW36cpv75iYiEUztPO5495VmmzZrGlqItXP7J5fRJaRnH+/otP0tygtPMpw+dzi+G/yLCFYk0Pb3SkVajrKiBjsY+R9vO3z0fr+WlS0IXeiX3Ctvzh6aRV1QHHgBHggt/NlilPgb2GUhyTDJFVUWszFvJiI4jwvbcIiIS1CG2AzNOmcG0WdPYWryV/Kz8SJe0l2lDpvHLkb9stcfUitSloCGtRnlxFQBxSQ0tnQp2HL7NrJ4G3nVyWH/Qx6cEOynlJV4CAQuHw8SsnucRKPPhMB1MyJjArK2zmLtrroKGiEgTSYtL4z9n/oe5u+bit/yRLqdGp7hOjOw4UiFD2gwFDWk1yqs7GvHJey+dsutMBbdtu0n2Z0Bwj4ZpGliWTUWxl4RUD47q5VRW9b6NiRkTmbV1Fj/s+oEbRtwQ1ucXEZFa8a54Tu5xcqTLEGnTtBlcWo3aPRr7Lp2q3aOxfs96ssuz8Tg8jE0fG9bnN0yjZtlWaWGwuxI64taq3rcxsXNwQ/iKvBWUeEvC+vwiIiIiLYmChrQaoY5Gw0unnDXTwMdnjMfj9IS9htDyqbJQ0KgZ2hesrXNCZ3om9SRgB1iQtSDszy8iIiLSUihoSKsQ8Fs1pz3tu3SqJmjEumqCRjhPm6orYZ+g4dinowEwIWMCoHkaIiIi0ropaEirEFo2ZToMYuL33noUOnWq3FHJj3k/AuHfnxHSYEejTtAILZ+at3tek9QgIiIi0hIoaEirUHfZ1L6neVgVwRf5y0p/xLIt+qX2IyMho0nqqA0a1cFnn83gAOPSx+EwHGwr3kZmaWaT1CEiIiISaQoa0io0dLStbds1S6e+LwguVZrcpWmWTUFt0CjdZ+mUXRXA9lkAJLgTGJY2DNDyKREREWm9FDSkVag5cWrfo22rAhB8fc/svOD+jGO7Ns2yKdh/6ZQR6wQz2GHZa/lURnD51ILd2hAuIiIirZOChrQKB5sKbjsgz5dPkjuJ4WnDm6yOfTeDG4ZRs0+j7obwMeljAFiUvQjbtpusHhEREZFIUdCQVqHBGRrVy6bKXcEX/if1OAmn2XRzKkNBx1cVwFsZfO7aoX3emtsNSxuG23STW5HLtuJtTVaPiIiISKQoaEirUF4UDBLx+wWNYBehgD0AnNrj1Catw+1x4vY4gAOfPBXjiGFo2lAg2NUQERERaW0UNKRVaGiPRmjpVKFRQkpMCmMzwjsNvD77bgiv7+QpoGYyuYKGiIiItEYKGtIqHGwqeImjnCndp+AyXU1ey74bwusb2gcwplNwn8bCrIXapyEiTSKnuBLL0s8XEYkMBQ2JerZtUxY63nafzeD+8uDlpY4yftLrJ81Sz74bwmuWTu3T0RiWNgyX6SKnPIedJTubpTYRaRtG90jFYRos3LqHO99dobAhIhGhoCFRr6rcj+UP/hLdt6OxKzf4At4XY9V0EJpa3D5D+xzxwZr27WjEOmMZ2iG4T2Nh9sJmqU1E2oYhXZJ5+MIRmAb8Z+EO7v5gpTqnItLsFDQk6oWWTcXEOXG6HHtdtysvGDTS23Vu0tOm6tqvoxG//2bwkNGdRgOwKEv7NEQkvM4e3pkHLxiOYcAr87bzpw9XK2yISLNS0JCo19BUcF/AR3FR8LSpvhn9m62e/TaDJ+x/vG1IaEP4wmzt0xCR8DtvZFf+/tNhALwwdyv3f7xGP2tEpNkoaEjUqz1xau+gMW/3PGJ8wct6dOrdbPU0djM4wPC04TgNJ1llWWSWZjZbjSLSdlwwpht/PT+4TPO577bw90/XKWyISLNQ0JCoVzMVPGnvo20/3fopiYE4AJxx7v3u11Tiq4/YLS/2Yll2TUfD9lpY3sBet41zxTGkwxAgePqUiEhTuHhcd/58bvBnzVPfbOKhz9dHuCIRaQsUNCTq1dfR8Aa8zN4+m8RAPABmXPPszwCIS3JhGGBbNhUlXowYBzgNoP6uxpj04CZ1zdMQkaZ0+YQe/PGsQQA8/tVGZny3JcIViQTZtk1AJ6O1SgoaEvVCU8Hr7tH4PvN7SnwlJFrVQSO2+YKG6TBraikrrMIwjNrlU6X1BI3q07AWZy9uthpFpG268uhe3HFycM/a6wu2R7gakaCHPl9PVnElhgFpiTEHv4NEDQUNiXqhjkZ8nang/9v6P1yWE48VfMHfnEED6mwI3xPaEB6so76Tp0Z2HInTcJJZmsmu0l3NV6SItEkT+rQH0DvI0iI8+sUGHv9qIwB3nTGIjOTYCFck4aSgIVGvbJ+p4BX+Cr7e8TUJVnB/BgYYnsgEjVC3xTxARyPOFceg9sHlDOpqiIhIW/HE7I08/EVwv9D/nX4U047pFeGKJNwUNCTq7Xu87Zydc6jwV9AnpicQ7GYYptGsNe17xO2BTp6C2nkaChoiItIWPPPtJh6YtQ6A3/xkANMnN9/pkNJ8FDQkqgV8FlVlfqB26dSnWz8F4IS044HmXzYF+x9xWzu0b/9ZGqCgISIibceM77bwl0/WAnD7yf254fi+Ea5ImoqChkS18pLgC3fTYRAT56TMV8a3O78FYEJKcBieEYGgsd908ISGl04BjOg4AgODrcVbyavIa54iRUREmtlLP2zlzx+tBuDmKf24eUq/CFckTUlBQ6JaeZ39GYZp8PWOr6kKVNEzqSedHekAmHGuZq8r1F0pLQzWd7ClU8kxyfRPDZ4Eo66GiIi0Rq/N387d768C4Ibj+3DbSQoZrZ2ChkS1sn2Otv10S3DZ1Kk9T8WuDA7Hi+TSqZrN4NUdjUADHQ3Q8ikREWm93li4gzvfXQHAtZN78+tTB2AYzbt/UpqfgoZEtdphfTEUe4v5btd3AJzW6zSs8uCL+ogEjdRg0Kgq9+PzBmpPnWqgowEKGiIi0jq9vXgnv33nRwCuOronvz9toEJGG6GgIVGt7lTw7zO/x2/56ZPchz4pfbAqgpvEm3MqeIjb48AZ4wCgbE8VjtAcjVIftl3/2fWhoLFhzwaKqoqap1AREZEm9P6yTH791nJsG6ZO7MHdZw5SyGhDFDQkqtWdCv5dZrCbMbnbZIDaoBHb/Hs0DMMgPrl2OrgjsboGv1WzpGtf7WPb0yu5FzY2S3OWNlepIiIiTeKjH3dx23+XYdlwyfju/PGswQoZbYyChkS1UEcjNtHF95nfA3BM52OA2hOezPjm72hAnZOniqowXI6a068C1XM/6qPlUyIi0hp8unI3t/wnGDIuHNON+84ZgtnMM60k8hQ0JKqFpoIXOvLIr8wn1hnLyI4jAQhUhxBH9Ubx5hbap1FSULlXHaG66hMKGouyFjVxdSIiIk3j89XZ3PTaUgKWzfmjuvDX84cqZLRRChoS1UqrX8Sv9QZPshifPh6Xo/qEp+rOgSMpJiK1JbWPBaA4v/FBY0ynMQCsKVhDma+siSsUEREJr6/WZnPDq4vxWzbnjOjMAz8brpDRhiloSNTy+wI1S6cWls4F4OguRwNgeQM1eyEi1dFI6uABoCSvIlhHYnXQKGk4aKTHp9MloQsBO8DynOVNX6SIiEiY5BRX8otXluAL2JwxLIMHfz4ch0JGm6agIVGrtCDYsXC6TRYVzgfqBI3qAGK4TYzq05+aW01HIy/U0YjZq7aG1CyfytbyKRERiR4bc0rx+i26pMTyyIUjcDr0MrOt03eARK2S6iVJZlIAP356JPWgW2I3YO9lU5E64SIpLRg0SgoqsSy7ztKphjeDQ+3yKQUNERGJRgkxTlwKGYKChkSx4vzgkqTSmD0AHN356JrrIr0RHILTwU2HgRWwg0fcNmKPBsDY9LEArMhdQbmvvMnrFBEREWkKChoStUKnOWUaW4HaZVNQ+2LejGDQME2DhHbBfRrFeRU1tRwsaHRN7EqXhC74bT9LcpY0eZ0iIiIiTUFBQ6JWaOlUtrkTt+muWXIEdTsakTlxKiSpfShoVNZ2NEq8DU4HDxmXPg6ABVkLmrZAERERkSaioCFRK9TRKIkpYHSn0cS54mquq92jEbmOBkBSh9ARtxU4EqprCdhY5f4D3m9cRnXQ2K2gISIiItFJQUOiVqijURJTsNeyKWgZezSg7hG3lRhOEzM+NOPjwMunQh2NNQVrKKoqatoiRUREwsBvHbhbL22PgoZEpUDAoqww2LUoiSlgYueJe1/fYoJGbUcDauuxDnLyVMe4jvRM6ollWyzOXty0RYqIiByh/NIq7vt4NQCdkj0RrkZaCgUNiUple6qwbfAbPmITXfRL6VdznW3bLWiPRnXQyN07aBysowEwPmM8oH0aIiLSsu0p83Lpc/NZn11Kp6QY/nT24EiXJC2EgoZEpeLqZVOlMQWMzxi/16wMu8IPfguoncYdKaGlU2VFXvy+AGZi44OGNoSLiEhLV1Tu47IZ81mbVUJaYgyvTZ9Arw7xkS5LWggFDYlKtfsz9tRsnA6pOdo2zonhiuy3uCfBhbN6MnlJfmWjh/ZB7TyNDXs2kF+R33RFioiIHIbiSh9TZ85n1a5i2se7ee2a8fRJS4h0WdKCKGhIVCrILQaC+zNCS4xCWsr+DADDMEiu7moU51fiSA4u5WpMRyPVk0r/1P4ALMxe2HRFioiIHKKSSh9XzFzA8p1FpMa5eG36BPp1Sox0WdLCKGhIVNq2azcAZqKfbond9rqudlhfZPdnhCRW79MoyauoWcoVKDl40IA6y6d0zK2IiLQQZVV+rnp+IUu3F5IS5+LVayYwIF0hQ/bnjHQBIocjP6cIk0Qy0tP2u65mhkYj92dU+QPM3ZjPql1FbC8oZ/Pu2mVKFzw1l6TERDokxjAoI4nBnYMf7RMaH2JC+zSK8ipx9EmurrHxQeOVNa9on4aIhF1RhY/n5myu97qR3VMZ3SO1mSuSaFDhDTDthYUs2raHJI+TV64ez6DOSZEuS1ooBQ2JSlWFNrHAgB6997uuZulUcsNBo8of4Ms1OfxvZRaz1+ZQWlU7QM/yVtb8fUVmMaY7+HgfLt9Vc3nfjgmcMCCN4wd0ZGzPdridDTcHk+p2NKq7LFaJF9uyMUyjwfsBjE4fjWmYbCveRlZZFunx6Qe8vYjIwcRU/7wqKPNy38dr6r2NYcADPxvOz0Z3bc7SpIWr9AW4+sWFzN9SQGKMk5evHs+QLsmRLktaMAUNiTp7KgpxVwZPtBjTZ9h+1x9oj0a518/rC3bw7LebySquDRSdkmI4uk8HenaIp2MsXPxw8PInLhmJ5Ywhs7CCVbuKWb2rmC15ZWzMKWVjTinPztlCQoyTk47qyOlDM5jcPw2Py7HXcybV2aNhJrjAAGywSn0H3UeS5E7iqHZHsSp/FQuzFnJWn7Ma/XUSEanPkM7J3DKlH9vyy+q9Pqekirmb8vn1W8txOQzOGdGlmSuUlqjSF2D6S4uYuymfeLeDF6aNY3i3lEiXJS2cgoZEnXkbF+GwHVhGgG4Znfe7vnbpVO3ypgpvgJnfb+G5OZvZU+4DguHi3BFdOHVIOiO6pmBWdxfKymp/+Z54VCfi4/c+pq+o3Mecjbl8vS6Xb9bnkltSxXvLdvHesl0kxDg5ZVAnzh7RmWP6dsDpMGuH9uVVYJgGZqIbq9hLoLiqURvWx6WPY1X+KhZkLVDQEJEjZpoGt53cv8Hrbdvm/95byWvzt3Pbf5fhMA3OHLb/z1ppO6r8Aa5/ZTFzNuQRVx0ytLROGkNBQ6LO8s2rSWQIxPtqwkFdVp2OhmXZvL88k398uo7dRcEORo/2cVx/XB/OG9WFGKdjv/sfTHKcizOHdebMYZ2xLJtlOwv5+MfdfLJiN7uLKnlnaSbvLM2kfbybM4dlcObg4HKnqnI/VRX+YF3F3kbv0xibPpbnVz3PwiydPCUiTc8wDO47ZwiBgM1/F+3glv8sw2ka/GRIRqRLkwjw+i1ufHUJs9fl4nGZzLxyLGN7tot0WRIlFDQk6mzJ3MkwhpDQfv8N2bZlEygNvoBfVVLOH59czvKdRQB0SYnlV6f256xhnXE6wnPgmmkajOqeyqjuqfzf6UexZPsePli+i49+3E1+mZcXf9jGiz9s45eOWDwBWL9xDxmJbnw0/uSpUZ1G4TAcZJZmsqt0F50T9M6iiDQt0zT46/lD8VkW7yzJ5KbXlvLvy0xOHtQp0qVJM/IFLH75+hK+WJNDjNNkxhVjmdC7faTLkiii420lquSU51C5J7hxO71Th/2ut0p9YIEF/OylRSzfWURCjJPf/GQAX95xHOeN7Bq2kLEv0zQY07Md954zhPl3TuGFq8Zy7ojOxLocFBCcVH7784uYnVkIgLew8gCPViveFc/gDoMBTQkXkeZjmgYP/Gw454zojN+yueHVxcxemxPpsqSZ+AMWt/5nGbNWZeN2mjw7dQxH993/967IgShoSFSZt3seiVXBlm37jnsfp1fpC/DaVxsBKMDCMuDCMd2Y/avjueH4vvtt0m5KLofJ8QM68shFI1n0h5Po3TN4KkeKbbKyuByAd7/dyj9nrSOv9OBTwkPzNLR8SkSak8M0ePDnwzljWAa+gM11ryzm2/W5kS5LmljAsrnjzeV8vGI3bofJ05eNZnL//Y+TFzkYBQ2JKl/v+JqE6qCR2C54mlPAsnlj0Q5O+OfXfDpvBwDlbpMPbjyGv/9sGGmJkR3cFx/jZFDfYM1XDu/KiIHBH9aJAZt/zd7I0X/7ij+8t4Lt+eUNPsbY9LFAsKNh23bTFy0iUs3pMHnkwhGcNiQdr99i+kuL+H5jXqTLkiYSsGx+/dZy3l+2C6dp8OSlozhhYMdIlyVRSkFDokZVoIrvMr+r6Wgkto/hyzXZnPHYHH7z1o/sLqqkb2wwVPTv046hXVvO2d6hI27tUj8/mdgdgJGp8QzvmkyV3+KVeduZ8tDX3PfRaooqfPvdf0TaCJymk6yyLHaW7GzW2kVEXA6TRy8aycmDOlHlt7j6xYX8sCn/4HeUqGJZNr97+0feWZKJwzT41yUjOUn7cuQIKGhI1FiwewEVvkoSvcGgcftHq7j6xUWszSohyePkztMHcvP4HkD9MzQiqe4Rt6GJ5fE+m/duPJrXpo/n2H4d8AVsnvtuCyf882tenrcNf8CquX+cK46hHYYC2qchIpHhdpr865KRnDAgjUpfMGws3FoQ6bIkTCwreKzxm4t3Yhrw6EUjdNKYHDEFDYkas3fMJs6XiMNyYmGzKKeYOLeD647rzbe/OYFrJ/fBKA12A0ITuFuKvYf2BYNGcOO6zaQ+HXj56vG8cNVY+nZMoKDMy13vreSnT/3AptzSmscILZ9amK19GiISGTFOB/++bDTH9utAuTfAlTMXsHjbnkiXJUfItm3u+WAVry/YjmnAwxeO0OwUCQsFDWnxqvwBXpu/lbfXfEZCVXBAUJkJ1x7fhzm/OYHfn3YUKXHVL95LGp4KHkmJ7TyYDoOAz6LcFwBHcP5HoKR2mdTxAzryv1uO5d5zBpPocbJ8RyGnPzqH57/fgmXZtRvCdy/UPg0RiRiPy1F9AlF7yqrDxrIdhZEuSw6Tbdvc+9FqXp63DcOg+qQxTYOX8FDQkBarqNzHE7M3cszfZ/OH/32K5SgiqSI4/K53j2R+d9pA2ifs3bkIFLXMoGE6TJLTgsunCrPLa5ZPhaaYh7gcJlMn9uSz2yZzbL8OVPkt/vThai6bMZ/OngG4TBc5FTlsK97W7J+DiEiIx+XgualjGd+rHSVVfqbOmM/KzKJIlyWHyLZt/vq/tTz//VYA/n7+MH46umtki5JWRUFDWpxdhRXc99FqJv3tSx6YtY7ckipSOmwAYJQruHyoY9eEeu8bKAm+cDdb2NIpgJROcUB10KgOQlYD08EzkmN5ado4/nzuEGJdDuZuyuf8JxfRK3EQoH0aIhJ5sW5H9ZToVIor/Vz63HxW7VLYiBa2bfPArHU88+1mAP5y3lAuGNstwlVJa6PJ4NJirMsq4elvN/HBsl34reDSoIHpiVw7uTcv75jBxkLoXNGbSiCte+J+97f9FlZZcJhfS+toAKSmx7FlORRmldMl1NE4wHRwwzC4fEIPJvVpzw2vLGFddgnFm9JwdwjO07hgwAXNVbqISL3iY5w8f9U4Lp8xn6XbC7nomXn0Tqv/jSCP0+SGE/pynOYxtAgPf7GBJ7/eBMC95wzmkvHdI1yRtEYKGhJxC7cW8OTsjcxeVzsEamLv9lx3XG+O659GZmkm96zYgAMHdp4bCNQbNAKh7oDDwIxred/aoY7GnuxyzF7B+gNFBx/W1yctgXdvnMTv31nBR+v64O7wBV9u/Z7SCV4SYlpeoBKRtiUhxsmL08Zx+XPzWb6ziOUH2K+xZPtCnrl8jOYyRNjjX27gsS+DKwXuPnMQUyf2jGxB0mq1vFdj0ibYts3sdTk8OXsTi6pPLDEMOG1IOtdN7sPwbik1t/16x9cAjE88mqqyAKZp0K5z/H6PGdrv4EhyYxhGU38KhyylU7DmwuxynGOCv2R9uRWNum+c28kjF45g5A8J/HPd8/jMEs559i1evPRcuqbGNVnNIiKNkeRx8eYvJjF/Sz5ev1Xvbd5espNPVmRx3SuLeXbqGHU2IuTJrzfy4OfrAfi/049i2jG9IlyRtGYKGtKsLMvms9VZPPrlRtbsLgbA7TD56eguXDu5D7067B8gQkFjnPM4KoHUzvE4XY79bufPCb5od1bPrGhpUqs7GqV7qjCqp5r7cxqeBr4vwzC4clI/vsgfzfKCH9hRvoxz/pXGk5eOYnzv9k1Ss4hIY7mdJsf2azg8TO6fhmUt5dNVWVz70iJmXjmWo/t2aMYK5dlvN/OPT9cB8JufDGD65N4RrkhaO20Gl2ZhWTYf/biL0x6dwy9eWcKa3cXEux1cN7k3c357An89f1i9ISOvIo9F2YsA6O7tD9S/PwPAl10GgKvT/o/TEngSXHgSXACE4oU/vwK7gXf/GnJa3+MASG63hfwyL5c+N59X5ukUKhFp2VwOk8cuHslJR3XUdPEImPndFu7/ZA0At5/cnxuO7xvhiqQtUNCQJjdnQy5nP/EdN722lHXZJSTGOLn5xL5899sT+f3pR9EpydPgfT/b+hkBO8CQ9kPwZgeXQ6V1ayhoBF++uzq13KVEoa5GUakPI8YBVjBsHIqJnScCYMVs5vRhHfBbNn94byX/9+6KBpcsiIi0BG6nyROXjtJ08Wb28g9bufej1QDcfGJfbp7SL8IVSVuhoCFNZtWuIi59bh6Xz1jAysxiEmKc3HpSP7773YncfsoAUuMPvpH5ky2fAHB679PJ3V4CHLyj4WzBQaNmQ3hOBa6Owb+HAlJj9UrqRae4TngtL5ce5+fXpw7AMODV+du5bMZ88ksPvsFcRCRSNF28eb02fzt3vb8KgOuP78NtJ/ePcEXSlmiPhoRdUYWPhz9fz0s/bMWyg3swLpvQgxtP6LPfgL0D2Vmyk+W5yzEwOK7dFD4sWgsGdKhnhkagzIdVPWW7JXc0amZpZJXh7BiHd0fJIe3TgOBejYmdJ/LexveYt3sed5xwBwPTE7nlP8tYsKWAs//1PU9dNpqhXZOb4lMQETlioeniV7+4kO835nPlzAX84vg+OM36D/IY37s9I+ocEiKN88bCHdz57goAph/bi9+cOqBFHpYirZeChoSNbdu8tyyT+z9eS171u+pnDsvgtz8ZSLd2h/7i/9OtnwIwLmMcdl4woKR2isMVU89G8OqugCMlBjOm5X5bp6bXHnHr6pcCgO8QgwbAxIxg0Phh1w8ATDmqE+/dOInpLy1mS14ZP31qLvefO4Sfj9HwJRFpmULTxa98fgHztxTwwKx1Dd7WNOCxi0dy5rDOzVhhdHt78U5++86PAFx1dE/uPP0ohQxpdi33FZlEleziSn739o81szB6p8Xz53OGHNGJIh9v/hiAM3qdQe6GgyybyqneCJ7eMjeCh9R0NHIqcHYMno51qB0NgAmdJwCwbs868iry6BDbgb4dE3nvxqO5/b/L+HJtDr9+60d+3FnEXWcOwu3UKkkRaXlC08Wf/mYTmYWV9d5mV2EFP2zO55b/LMNpGvxkSEYzVxl93l+Wya/fWo5tw+UTenD3mYMUMiQiFDTkiNi2zfvLdnHPB6soqvDhdpjcPKUv0yf3Jsa5f+ehsdbvWc/Gwo24TBdTekzh+6+Cpyo1GDSygi/WW/L+DICktFhM08BfFcDrCf7z8+VVYAdsDEfjfwm087TjqHZHsaZgDfN2z+PM3mcCkBzr4tmpY3jsqw088sUGXp63jRWZRTxx6Si6pLTMY39FpG2Lj3Fy+ykDGrzesmx+9dZy3lmSyU2vLeXfl5mcPKhTM1YYXT7+cTe3/XcZlg0Xj+vGn84erJAhEaO3OeWwFZX7uPG1Jdz632UUVfgY2iWZj24+hptO7HdEIQPgk83BTeCTu04myZ1UsxG8QxSfOAXgcJgkpQVf8BdX+DFcJvht/HvqfyfvQEJdjdDyqRDTNLj1pP7MuGIMSR4ny3YUcuZjc/hmfW59DyMi0qKZpsEDPxvOOSM647dsbnh1MV+tzY50WS3SpyuzuPk/S7Fs+Pnortx/7lDMBva9iDQHBQ05LAu2FHDao9/yyYosnKbB7Sf3550bJtG/U/1B4FBYtsX/tvwPgNN7nU5lmY+S/OAL8bRu+28Et20bfwufoVHXXsunqkOH/xBPnoLgPg2AebvmYdv2ftdPOaoTH998LEO6JLGn3MeVzy/goc/WEbD2v62ISEvmMA0e/PlwzhiWgS9g84uXl+jNk318vjqbm15bQsCyOX9kF/7202EKGRJxChpySAKWzSNfrOeiZ35gV1ElPdvH8c4Nk7h5Sj9cjvB8Oy3PXc6usl3Eu+KZ3HUyeTuC3YykDh5i4lz73d4q9WGV+8EAV8eWvzwoNEtjT3Z57RG3uYceNEZ1GkWMI4acihw2FW6q9zbd2sXx1i8mcen47tg2PPbVRi57bj45xYfeQRERiSSnw+SRC0fwk8HpeAMW1760iO835kW6rBZh9tocbnh1MX7L5qzhnXng58NxKGRIC6CgIY2WXVzJJc/O45EvNmDZ8NNRXfno5mMZ1jUlrM8T2gQ+pfsUPE4PudtLgUbMz2gfi+E6siVbzSGl+uSpwuxynNVB43A6GjGOGMamjwXg822fN3g7j8vB/ecN5ZELRxDndvDD5nxOf2wO323QL2gRiS6tebp4TkklOwrKD/nj05VZXPfKYnwBm9OHpvPwBQoZ0nJoM7g0yjfrc7n9v8vIL/MS7w6+cD13ZJewP48v4Ks51vaM3mcAkLvjICdOhTaCd2zZ+zNCamdplOM6sStweEfcApzZ+0y+y/yO9ze9z3XDr8M0Gn7v4NyRXRjSJZmbXlvC2qwSLp85nxuP78utJ/XDGaZulIhIUwtNF//Fy4uZvS6XaS8s5MVp4xjXq12kSzsstm3zxw9W8eIP247ocU4Z1IlHLxqpn+fSoui7UQ7IH7B4YNZarpi5gPwyL0dlJPHhL49pkpABMCdzDkVVRaTFpjE+fTxA7UTwBjaCh46HdaVHR9AILZ0qKaiEdh4A/Lnl2Iexd+LE7icS74onszSTJdlLDnr7vh0TeO/Go7l4XDdsG/41eyMXPjOPnXsOL+iIiERC3eniFb4AVz2/gMXbCiJd1iGzbZt76oSMOLfjkD/i3Q5+Oqor/7pkVNiWMIuEizoa0qDs4kp++fpSFmwJ/vC+dHx37jpzEJ4mXJ700eaPgOAmcIfpoKLUS2H1sqK0Hg11NKJnIziAJ8FFTJyTqnI/pX4LHAa21yJQVIUz1XNIjxXrjOUnPX/C2xve5v1N7zMmfczBn9/l4K/nD2NSnw7c+c4KFm/bw+mPzuEfPxum8+lFJGqEpotPe2Ehczflc8XMhbxyzfiomSBu2zb3frSal37YhmHAP382nJ+O7hrpskTCStFX6jVnQy6nPzqHBVsKiHc7eOzikdx/3tAmDRnF3mK+2fENAGf1OQuA3RuLAEjNiCc2wb3ffWzbjpqjbUMMw6iZEF6YU4GzQ3AD++Eunzqn7zkAzNo6i3Jf4x/jrOGd+fjmYxneLYXiSj+/eGUJv33rR8qq/IdVh4hIc/O4HDx3xRjG9WpHaZWfy2fMZ8XOokiXdVC2bfPX/63l+e+3AvD384cpZEirpKAhe/EHLB78bB1T6yyV+ujmYzl7eOcmf+7Pt36O1/LSN6Uv/VP7A7BrYyEAnfsm13ufQJEXuyoAplHzgj0ahPZp7MmqPXnqcCaEA4xIG0H3xO5U+Cv4YvsXh3Tf7u3jeOsXE/nFcX0wDPjvoh2c/tgclmzfc1i1iIg0tzi3k+evHMuYHqmUVPq5bMZ8Vu1quWHDtm0emLWOZ77dDMD95w3hgrHdIlyVSNNQ0JAa2cWVXPLcfB7/aiO2DZeM7867N0yiV4fmWZL04eYPgWA3IzTFdPeGQgAy+qbUe5/Q/Axnh1gMZ/R8O3fskQTArvV7ajax+w7j5CkIdkjO7nM2AO9vfP+Q7+9ymPzutIG8Pn0CnZM9bMsv5+dP/cBDn63D67cOqyYRkeYUH+Pk+avGMrJ7CkUVPi57bj5rs4ojXVa9Hv5iA09+HTyS/N5zBnPp+B4Rrkik6UTPKzNpUt+s33+p1F+aeKlUXbtKd7E4ezEGBqf3Oh0Ab6Wf3B3Bo20790up9341y6aiZCN4SLdBwdNRdm8qwkiNAQ6/owFwdp+zMTBYkLWAzNLMw3qMCb3b879bJ3P28M4ELJvHvtrIOU98z+pdLfOXtYhIXYkeFy9OG8ewrsnsKfdx6bPz2ZBdEumy9vL4lxt47MsNANx15iCmTuwZ2YJEmpg2g7dxXn9wqdTT1S3cozKSePLSUc3WxQgJzc4Ylz6O9Ph0ALK3FGNbNgntYkhsV/8m6WjbCB6S0jGOpLRYinMryC/z4SK4R8O27ZpuzqHISMhgXMY45u+ezwebPuD64dcfVl3JsS4eu3gkJw/qxN3vr2TN7mLO/td33DylH9cf30cnmohIi5bkcfHytPFc8tw8Vu0q5qf/nkv39uF/I+rEAR259aT+hzR5+99fb+LBz9cD8PvTBnL1Mb3CXpdIS6Og0YZtzy/nl/9ZyvIdhQBcNqE7fzijaU+Vqo9t2zWnTZ3Z58yay2v3Z6Q0eN9o2wheV/dB7Vj5TSbbd5bRxwS7MhA8eSrl0E6eCjmnzznM3z2ft9a/xdRBU4l3HX74Omt4Zyb0bs//vbuCz1Zn89Dn6/lkxW7+/tNhDI+SE11EpG1KjnPxytXjufjZeazNKmFlZvi7siszi8kt9XL/uUMaFTaem7OZv3+6FoBfnzqA647rE/aaRFoiBY026v1lmfzh3ZWUVPlJ8jgjerTpgqwFbC7aTKwzlpO6n1Rz+e7qoNHQ/gzLG8C3O7i0ytW1/qNvW7Lug9sHg8aaAgZ2TsC3s5SqLcU4Rx5e0Di5x8k8sewJMkszeWzJY/x+/O+PqL60xBievnw0HyzfxR8/WMXarBLOe/J7rjq6F3ec0p84t358iEjLlBrv5v2bjmbhlj34rPDuNduUU8pfPlnD6wu24zQN7j1n8AE70c9/v4X7Pl4DwK0n9ePGE/qGtR6RlkyvFNqYwnIvd72/ig+X7wJgTI9UHrloBF1TI9cReHHVi0DwHfkEdwIAAb9F9ubgu1ANdTR8O0vAAkeSG2dKTLPUGk5d+qdgOgyK8ypheAfYWUrVpkLiR3Y8rMfzOD3cM/Eerv38Wl5f+zqn9TqNER1HHFGNhmFwzoguHNO3A/d9vIZ3l2Yy47stfLoyi/vOHcIJAw+vVhGRphbjdHBMvw5hf9wTBnQkNc7Nr95azsvztuF0GNx95qB6w8bLP2zlTx+uBuCXJ/bllin9wl6PSEumBddtyJwNufzkkTl8uHwXDtPgtpP6859rJ0Q0ZGwq3MSczDkYGEwdNLXm8tztJfh9Fp54F6kZ9ddXVT0x3F19glO0cXucZFQf21tQPRS8asuRHck4sfNEzulzDjY2d8+9m6pA1ZGWCUD7hBgevnAEL1w1li4psWQWVnDVCwu58dUl5BRXhuU5RESixU9Hd+Xv5w8D4Pnvt/KXT9Zg2/Zet3lt/nbuen8VAL84rg+3n9z/sPbgiUQzBY02oLDcy2/eWs7lMxaQVVxJ7w7xvHP9JG45qR/OCG/ufWn1SwBM6T6Fbkm154jvqlk2ldzgD2bvtmDHw909OoMGQPdB7QHYkl0OBgTyK/EXHlk4+PXYX9Pe054tRVt45sdnwlFmjeMHdOTz2ydz7eTeOEyDj1fsZsqD3/DyvG1Yln3wBxARaSUuGNuN+88bAsCzc7bwj1nrasLGGwt3cOe7KwC45phe/PYnAxQypE1S0GjFbNvmw+W7OOmhb3hj0U4Apk7sUTMNOtLyKvL4cFNwdsYVg6/Y67rQRPCG9mfYto13e3XQ6BF9+zNCug8OHnO7Y0Mhrs7BZWNH2tVIjknmzvF3AjBzxUzW5K85siL3Eed2cufpR/HBTUczvGsyJVV+7npvJef/e66OwhWRNuXS8T2495zBQPBUqYc/X8/bi3fy23d+BODKST35vzOOUsiQNktBo5Val1XC1JkL+OXrS8kr9dK3YwJv/WIi954zhFh3854q1ZDX176Oz/IxLG3YXnsJbMuu2Qje0P6MQH4lVpkfHAbu6hfo0ah9lwTiktz4vRbe6nkaVZsKj/hxT+5xMlO6T8Fv+7l59s3kVeQd8WPua3DnZN654Wj+dPZgEmKcLNtRyFn/+o77P15NWZU/7M8nItISTZ3Yk7vPHATAY19t5I43l2PbwZMc7zmr/r0bIm2FgkYrk1tSxZ3vruC0R79lzoY83A6TW0/qx8c3H8OYnu0iXV6NCn8Fb6x7A4ArBu3dzSjYXUZVuR+n26RD9/pDRFVo2VTXxKiaCL4vwzDoXj28L7cqeDKK9wg7GqHH/dOkP9EzqSdZZVnc/NXNVPrDv5fCYRpcMaknX95xHGcMzSBg2Tw7ZwsnP/QNn63KCvvziYi0RNOO6cWdpw+s+e+Lxnbj3rOHKGRImxe9r9BkLwVlXv7x6VqOf2A2r83fjmXD6UPT+fz2ydx6Un9inC2jixHy7oZ3KawqpEtCF6Z0n7LXdZnr9wCQ3jsZRwN7SGqWTXWP3mVTId0HB/dpbMosBQP8+ZX4i458E3dyTDL/mvIvktxJrMhbwR++/wOWHd5jHkM6JXl44tJRPH/lWLqmxrKrqJJrX17M9JcWsXPP4U88FxGJFtdO7sPjF4/kj2cN4i/nDT2kYX4irZWOt41yOSWVzJizhZfnbaPcGwBgeNdk/nDmIMa2oA5GXQWVBTy5/EkArhx8JQ6zNgTZts2aubsB6DGkfYOP4d1WfeJUFG8ED+l2VDswIGdXOeaAZKzscrybi3Ae5jG3dfVI6sEjJzzCtZ9fy6yts+iZ1JObRt4Uhqrrd8LAjnze+zge/2oDz3y7mc9XZzNnQy43ndCX6ZN7t7jAKyISTmcN7xzpEkRaFHU0otTKzCJuf2MZx/xtNk9/u5lyb4ChXZJ5duoY3rvx6BYbMgAeXPQgRVVFDEgdwM/6/2yv67K3FpO3oxSH02TghPoHCFpVfnzZZQDERPFG8BBPgoueQ4NnvedXNxyqNh/58qmQseljuXvC3QA8/ePTzM2cG7bHrk+s28FvfjKQT245lgm921Hps/jnZ+s59eFvmb0up0mfW0RERFoOBY0oUuUP8P6yTC546gfOfPw73lmSiTdgMbpHKs9fOZYPbjqakwd1atFrQufvns8Hmz7AwOCeiffgNPduqq36JhOAvmM64klw1fsY3h0lYIMjJQZHUvQN6qvPyJODR/tu2BHs1FRtLgzr45/X7zwuHHAhAP/3/f+xp3JPWB+/Pv07JfL69Ak8etEIOibGsDW/nKueX8hVzy9gY05pkz+/iIiIRJaWTkWBLXll/GfBdt5cvJOCMi8ATtPgjGEZXHV0L0a0gKNqG6MqUMV98+4D4MIBFzI0behe11eW+tiwKPiO95DJXRp8nJplU1E6qK8+GX1T6NgjkdxtJdgeR80+DWdy+ILUHWPuYGHWQjYXbebuuXfz2AmPNXkoDU0WP3FgRx77cgMvzN3K7HW5fLvhWy6f0INbpvQjNd7dpDWIiIhIZKij0UKVVfl5c9EOLnjqB07459c8/e1mCsq8pCd5uGVKP7777Yk8etHIqAkZADNWzGBr8VbSYtO4edTN+12/5ofdBPwWHbol0KlXwyEitBE8phVsBA8xDIMRJ3fHDxRXz73zhnH5FECsM5a/T/47LtPF1zu+5s31b4b18Q8k0ePi/84YxGe3HcfJgzoRsGxemLuVyf+YzROzN1JRvb9IREREWg91NFqQgGUzb3M+7y7N5H8rdlNW/eLLNGBy/zQuGdedEwd2jPg078OxMm8lz614DoDfjPsNie69Q4Jt2az6NrhsasjkLg2+025bNlWtsKMB0GdkGontPeSUeUn2OKhcV0BcGDaE1zWw3UBuGXUL/1z0Tx5Y+ABjOo2hd0rvsD7HgfTqEM+zU8fw/cY87vt4DWt2F/PArHW89MNWbpnSn5+P6YorCr+/RUREZH8KGhFm2zYrM4v56MddvL9sF1nFtbMOerSP44Ix3Th/VBcykmMjWOWRyS3P5ZavbsFn+Tix24mc2uPU/W6zc+0einIrcHkc9BvbqcHH8udVYFf6MVwmroz4piy72ZkOk+FTurHy7Y3080D5j3kknVKJs50nrM9z+aDLmbtrLnN3zeWOb+7g1dNfJc4VF9bnOJij+3bg418ewwfLd/HPz9axc08Fd767gn9/s5GbT+zHeSO7RGWgFhERkVqGbdt2pItoa2zbZkVmEZ+uzOLjFbvZll87ZyDJ4+SMYZ05f1QXxvRIbdEbuxvDG/AybdY0lucup3dyb149/VUS3PsP4fvfUyvYvCyXocd1YfLFAxp8vD3vbaRs3m7cvZLpeN2wJqm5rKyMhIRgjaWlpcTHN1+g8Vb6eenOuYwybDq6TOLHp5N6Xr+wP09eRR4XfHgBuRW5nN7rdP527N8i9r1W5Q/w2vztPDF7E3mlwfkhPdvHccMJfTl3RBfcUTyQUUREpC1T0Ggmlb4A87cU8PnqLL5YnbNX58LjMpkysBNnDc/ghIEdW82sAdu2uXvu3by38T0S3Ym8fsbr9Ejqsd/tCnaX8Z9752PbcNHd42jfuf5p4BVrC8h/YRUAHaYNwdM/tUnqjmTQAPjhvU1s+3w7xyQ6wWGQ8ZuxOMK4KTxkcfZirp51NQE7wP+N/z8uGnhR2J/jUFR4A7wybxtPfbOJ/OpDD9KTPFxzbC8uGtedhBg1YEVERKKJgkYTsW2brfnlfLs+l6/X5fDD5nwqfbVTmePcDo7rn8bpQzOYclRH4tyt60WUZVs8vfxpnlz+JKZh8u8p/2ZSl0n13vaTf//IluV59BzWgTNuqL9LESj1kv3IEqxSHwlHdyblrD5NVnukg0ZlmY/X/jiPUbZFB6fZpJ/vi6te5J+L/onTdPLiT15kWFrTdIkORVmVn1fnb2PGd1vILg52OBI9Tn4+uhuXTehO77T6g6iIiIi0LAoaYZRVVMm8zfl8vzGP7zfmsauocq/rOyXFcOLAjpw8qBOT+nTA42odnYt9FVUV8Yfv/sDXO78G4FdjfsUVg6+o97a7Nhby7j+XYJgGF989jtT0/V/U27ZN/strqFydj7NTHJ1uGoHRhF+7SAcNgA0Ls1n64momJVR3NX43Dkdi+I+BtW2bO765g8+3fU7HuI48e/Kzzbo5/ECq/AHeW5rJ099sZnNeWc3lx/brwEVjuzPlqI6t9t+QiIhIa6CgcZhCHYvF2/awcEsB87bk77XXAsDtMBnVI4XjB3TkuP5pDExPjPo9FwezMm8ld3x9B7vKduE23fx23G/5ef+f1/t527bN2/9YTPaWYgYd25kTLh1Y72OWLthN4TsbwWHQ8cYRuBtYWhUuLSFo2LbNR48vp8f2Ito5TRKO7ULKGU0TAEq9pVz6yaVsLtpMoiuRh094mPEZ45vkuQ6HZdl8syGXl3/Yxux1OYR+YiXEODl1cDpnj+jMxN7ttZdDRESkhVHQaKT80ipWZBaxYmcRy3cWsXT7npp15CGmAYM7JzOpT3uO7tuBsT3bEetu/e+47qncw+fbPmfW1lksyl6EZVt0TejKg8c/yKD2gxq836YlOXz6zEqcbpPL/jyR+Hr2IZSvyKXgP+sgYJN8ei8SJ3dtyk8FaBlBA6A4v4Iv71vA2BgT22GQcftonO2b5vSxPZV7uGX2LSzNWYrTcHL3xLs5r995TfJcR2JHQTmvL9jO+8t2kVlYUXN5vNvB0X07cOLAjhzbP40uKdF7SpuIiEhroaCxj5JKH5tzy9iUW8q67BLWZQU/du+zDArA7TQZ1iWZ0T1TmdCrPaN7ppLkcUWg6uaVW57L8tzlLMtZxvLc5azIW0HArh24dkqPU7hn0j0kuRuecxEIWLz+p/kU5VQw5oyejD9r/3fryxZns+et9WBD7PA02l04AMNs+o5QSwkaAMu/2I756RZSnSZ2nJOMG0c0WdioClRx13d38b+t/wPg/H7nc8PwG+gU3/Bxw5FiWTaLt+/h/WWZfLoyu+a0qpDOyR7G9mrHmB6pDOmSzMD0pDYR+kVERFqSNhc0bNsmv8zLjoJytheUsz2/nG3Vf27OK9vvBUtdvdPiGdYlmSFdkhnVI5XBnZNazQlRDfFbfjbs2RAMFrnLWJazjMzSzP1ud1S7ozit12mc2vNUOid0PuBjVpb5mPvORtZ8v5vYRBeX/Xkibs/em+FL5+2i8L1NAMSN6UTq+f2aJWRAywoalmXz0T8W0y+/nESHgd9l0umGEcQ20QwRy7b419J/8eyKZwHwODxcetSlTBs67YDBMZIsy2bVrmJmr8th9rocftxZRMDa+8eaaUDvtAQGpCfSu0M8vdPi6dk+ni6psXSIj8Fspu8tERGRtqTVBQ3Lsskrq2JXYSW7CivI3FPBzj3l7Aj9WVBBhS9wwMfokBBD77R4BnRKZEB6IgPTE+mfntjquxVVgSo2F25mY+FG1hWsY0XeClbnr6YysHc3x8CgX2o/RqSNYHjH4YzqOIquiQdf0mQFLFZ/v5v572+msswHwIlTB3LUpNpg4suroPjzbVQszwUgYVJnks/s3WwhA1pW0ADwVQVY8N91tFuRR6LDoBJwndWH7hMzmuzrsjRnKQ8vfpilOUsBSHAlcErPUziz95mM7jQa02i5+yHKvX6Wbi9k4dYClmwvZPWuIvJKvQ3e3u0wSU/2kJ7koUOim/bxMXRIiKFdvIvUeDepcW5S4ly0q/67NqCLiIg0TosOGgHLptzrp9wboKTST3Glj+IKH8WVfvaUeckv81JQVkV+qZfs4kqyi6vIKanEFzjwp2QYwfP5u6XG0b19HD3aBf/s2T6eXmnxbSJQbC3ayuaiYKgIhYsdJTv2WgIVkuhKZEiHIYzsOJLhHYczrMOweofu1VVe7GX3pkLydpRSWlBJyZ4qCrPLKSsMdoxSM+I59uf96DaoHbbfwp9XQcl3mZQvyYbqU4ATT+xG0sk9mn0DfUsLGiE7FmdT/uZ64gHLtsl1mHgmZNDv5B64Y53Br+OeSgyniSMpBsNxZF8327b5Zuc3PLrkUTYWbqy5PCM+g2O6HMPQDkMZljaMXsm9WnTwsG2b3JIqVu0qZmNOKZvzytiSV8rWvHKySyo51J+AHpdJuzg3qfHumvBR82eCO3hdXG1ISY514XGZrf4gCBERkX01Omi88MgH2AB1bh26px36v8H/rb6dXfN3ywIbG9u2sWxq/rRsG9sOBgqr+rLQ30N/HtYnBbidDjwuBx6XWf1n8O9x1X+P5pUS9X1Vai6zbWxsAraFbVv4LT8VgQoq/ZVU+isp8ZZQ4i3Bxib4JTAAA8MG03YSSxwpzlQSzCSS3MGPWGcspmnicJs4XQ6cLpPQ60qDYBepqtyPtyJAVbmPorwKKoq9dR69+sOAWLeDHn1TaJfixirx4s+vJFBUtdcn5RnYjqSTe+DuEpl5CS01aACUZ5exc8ZK4opr36EvDNh4nAYxNoS+rW0D7FgndpwLO676z1gnhPYp1Hz/H/wfgo1FTnkOmws3sbV4Oz5r7+6A03QS64wj1ukh1hlHjMON03TiMl04TSem4cBhmJhG8MV28H8AwzzgszfHP1HLBq/fotIfoNJn4QsE8PptvAELn9/CZ9nBPwPBj8N9V8YAXA4Th8PAaRg4TBOHCQ7TwDAMHKaBiYFhgokR/PlkBLuHhgFX3XZ2GD9rERGR5tHooLHzd3OauhZpwwy3A3ePRJJO6kFMj8juBWjJQSOkbHMh2R9sxpVVttcLcr9tYwKm3j1vVbr+7dhIlyAiInLIGj2Oepe9/6lL+2rUS5sGbhTpdzajn1Hvf4bePw69k2zWeWd533sZplHzYYZaENVs28a2gh+WBTXtK4K3czgMTKeJ6TBwxThwexwYZrDtYTgMMIPvzBqxThwJbhyJLswEN872HpztYzETXFpacgjie6fQ+9ZR+PIrKFqdT2lVgIIyP3m5Ffgq/Th8Fk6fhctn4bYs3AEbt2XjaIKVkpZtBb8/qruWoT8h2Mms+fOgT91iV3EekQN2IA9wo7oXNf2hziIiIuHXovdoiERCNHQ0RERERFq6lruDU0REREREopaChoiIiIiIhJ2ChoiIiIiIhJ2ChoiIiIiIhJ2ChoiIiIiIhJ2ChoiIiIiIhJ2ChoiIiIiIhJ2ChoiIiIiIhJ2ChoiIiIiIhJ2ChoiIiIiIhJ2ChoiIiIiIhJ2ChoiIiIiIhJ2ChoiIiIiIhJ2ChoiIiIiIhJ1h27Yd6SJEWhLbtikvLwcgLi4OwzAiXJGIiIhI9FHQEBERERGRsNPSKRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTsFDRERERERCTtnY25k2zYlJSVNXYuIiDQgMTERwzAiXYaIiEijNSpolJSUkJyc3NS1iIhIA4qKikhKSop0GSIiIo1m2LZtH+xG0drRKC4uplu3buzYsSMqf0FHc/3RXDtEd/3RXDtEd/1NWbs6GiIiEm0a1dEwDCPqfuHXlZSUpPojJJprh+iuP5prh+iuP5prFxERCRdtBhcRERERkbBT0BARERERkbBr1UEjJiaGe+65h5iYmEiXcliiuf5orh2iu/5orh2iu/5orl1ERCTcGrUZXERERERE5FC06o6GiIiIiIhEhoKGiIiIiIiEnYKGiIiIiIiEnYKGiIiIiIiEXdQHjXfeeYdTTjmF9u3bYxgGy5YtO+h9XnjhBQzD2OvD4/E0fbGH4HA+r+Zm2zZ33303GRkZxMbGctJJJ7Fhw4YD3uePf/zjfl/7gQMHNlPFjfPEE0/Qs2dPPB4P48ePZ8GCBZEuaT+HUmM0fL8DfPvtt5x11ll07twZwzB47733Il3Sfg61xq+//nq/r71hGGRlZTVPwSIiIhEU9UGjrKyMY445hr///e+HdL+kpCR2795d87Ft27YmqvDwHO7n1Zz+8Y9/8Nhjj/HUU08xf/584uPjOfXUU6msrDzg/QYPHrzX1/67775rpooP7r///S+3334799xzD0uWLGH48OGceuqp5OTkRLq0GodTY0v/fofg9/zw4cN54oknIl1Kgw63xnXr1u319e/YsWMTVSgiItJyOCNdwJG6/PLLAdi6desh3c8wDNLT05ugovA43M+rudi2zSOPPMIf/vAHzjnnHABeeuklOnXqxHvvvcdFF13U4H2dTmeL/do/9NBDTJ8+nauuugqAp556io8//piZM2fyu9/9LsLVBR1OjS39+x3gtNNO47TTTot0GQd0uDV27NiRlJSU8BckIiLSgkV9R+NwlZaW0qNHD7p168Y555zDqlWrIl1SVNmyZQtZWVmcdNJJNZclJyczfvx4fvjhhwPed8OGDXTu3JnevXtz6aWXsn379qYut1G8Xi+LFy/e63MyTZOTTjrpoJ9TczncGvX9HlkjRowgIyODk08+me+//z7S5YiIiDSLNhk0BgwYwMyZM3n//fd55ZVXsCyLSZMmsXPnzkiXFjVCa8w7deq01+WdOnU64Prz8ePH88ILL/Dpp5/y73//my1btnDsscdSUlLSpPU2Rl5eHoFA4JA/p+Z0ODXq+z1yMjIyeOqpp3j77bd5++236datG8cffzxLliyJdGkiIiJNLqqCxquvvkpCQkLNx5w5cw7rcSZOnMjUqVMZMWIExx13HO+88w5paWk8/fTTYa64ccL1eTWlfWv0+XyH9TinnXYaP//5zxk2bBinnnoqn3zyCYWFhbzxxhthrlhCWtr3e1syYMAArrvuOkaPHs2kSZOYOXMmkyZN4uGHH450aSIiIk0uqvZonH322YwfP77mv7t06RKWx3W5XIwcOZKNGzeG5fEOVVN9XuG0b41VVVUAZGdnk5GRUXN5dnY2I0aMaPTjpqSk0L9//4h97evq0KEDDoeD7OzsvS7Pzs5uMfsbwlFjpL/f27px48a1qAMQREREmkpUdTQSExPp27dvzUdsbGxYHjcQCLBixYq9XjA3p6b6vMJp3xoHDRpEeno6X375Zc1tiouLmT9/PhMnTmz045aWlrJp06aIfe3rcrvdjB49eq/PybIsvvzyy0P6nJpSOGqM9Pd7W7ds2TJ97UVEpE2Iqo5GfQoKCti+fTu7du0CgsdIAqSnp9e8wzt16lS6dOnCX//6VwDuvfdeJkyYQN++fSksLOSBBx5g27ZtXHPNNZH5JOrRmM8rkgzD4NZbb+W+++6jX79+9OrVi7vuuovOnTtz7rnn1txuypQpnHfeedx0000A/OpXv+Kss86iR48e7Nq1i3vuuQeHw8HFF18coc9kb7fffjtXXHEFY8aMYdy4cTzyyCOUlZXVnPDUEhysxmj8fodg6KzbZdmyZQvLli2jXbt2dO/ePYKV1TpYjb///e/JzMzkpZdeAuCRRx6hV69eDB48mMrKSp577jm++uorPvvss0h9CiIiIs3HjnLPP/+8Dez3cc8999Tc5rjjjrOvuOKKmv++9dZb7f9v777jqyzvPo5/77NPzskgJCRskCEiGwFBQdzWVReuWgWtttattcunCtpardRRR1tH0bpqHXW2Kg7AxZKhIMqQAGGHkHmSnHU/f5xBAiEDTnKSnM/79eJ5kfvc45c88jz3N9f1u65evXqZDofDzMvLM0899VRzyZIlrV98A5ryfSVbOBw2f/e735l5eXmm0+k0jz/+ePO7776rc07v3r3r1HzBBReYXbt2NR0Oh9m9e3fzggsuMNeuXdvKlTfs4Ycfjv/3MXbsWHP+/PnJLmkfDdXYHv97N03T/Pjjj+v9b77295JsjdV42WWXmcccc0z8/Hvvvdfs16+f6XK5zOzsbHPy5MnmRx99lJziAQBoZYZpmmbrRhsAAAAAHV276tEAAAAA0D4QNAAAAAAkHEEDAAAAQMIRNAAAAAAkHEEDAAAAQMIRNAAAAAAkHEEDAAAAQMIRNNCuTJ48WTfeeGP86z59+ujBBx9MWj0AAACony3ZBQAHY9GiRfJ4PAm/7x/+8Ae98847WrZsmRwOh0pKShL+DAAAgI6MEQ20a7m5uUpLS0v4ff1+v6ZMmaKrr7464fcGAABIBQQNtFmVlZW69NJL5fV61bVrV/35z3/e55y9p04ZhqG///3vOv3005WWlqbDDjtMX3zxhdauXavJkyfL4/FowoQJWrduXYPPnjFjhm666SYNHTo00d8WAABASiBooM269dZbNXfuXL3xxht6//33NWfOHC1ZsqTR6+666y5deumlWrZsmQYNGqSLL75YP/3pT/Wb3/xGixcvlmmauvbaa1vhOwAAAEhd9GigTaqoqNBTTz2l5557Tscff7wk6ZlnnlGPHj0avXbatGk6//zzJUm/+tWvNH78eP3ud7/TySefLEm64YYbNG3atJYrHgAAAIxooG1at26d/H6/xo0bFz+WnZ2tQw89tNFrhw0bFv97Xl6eJNWZApWXl6fq6mqVlZUlsGIAAADURtBAh2O32+N/Nwxjv8fC4XDrFgYAAJBCCBpok/r16ye73a4FCxbEj+3evVurV69OYlUAAABoKno00CZ5vV5dccUVuvXWW9W5c2d16dJFt912myyW1snGGzduVHFxsTZu3KhQKKRly5ZJkvr37y+v19sqNQAAALRnBA20Wffdd58qKip0xhlnKD09XbfccotKS0tb5dm33367nnnmmfjXI0eOlCR9/PHHmjx5cqvUAAAA0J4ZpmmayS4CAAAAQMdCjwYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4ggYAAACAhCNoAAAAAEg4W7ILAAAAaItM05TP55MkpaWlyTCMJFcEtC+MaAAAANTD5/PJ6/XK6/XGAwdwIAoKCmQYhp5++ulmX/v000/LMAwVFBQkvK6WRtAAAABAyqioqNAdd9yhU045RdnZ2c0OAP/97381ffr0FquvIyFoAAAAIGUUFRXpzjvv1KpVqzR8+PBmX//f//5XM2bMaNY1vXv3VlVVlX784x83+3ntGT0aAAAASBldu3bV1q1blZ+fr8WLF2vMmDEt9qxgMKhwOCyHwyGXy9Viz2mrGNEAAABAynA6ncrPzz+ga6dOnapHH31UkmQYRvyPtKcPY+bMmXrwwQfVr18/OZ1OffPNN/X2aHz11VeaOnWqDjnkELlcLuXn5+vyyy/Xrl27Dvp7bCsY0QAAAACa4Kc//am2bNmi2bNn69lnn633nFmzZqm6ulpXXXWVnE6nsrOzFQ6H9zlv9uzZ+v777zVt2jTl5+dr5cqVevzxx7Vy5UrNnz+/Q6xyRtAAAABAo0zTVFUglOwy6nDbra36Qj5+/HgNHDhQs2fP1iWXXFLvOYWFhVq7dq1yc3Pjx+pbMernP/+5brnlljrHjjzySF100UX69NNPNXHixITWngwEDQAAADSqKhDS4NvfS3YZdXxz58lKc7St19lzzz23TsjYH7fbHf97dXW1KioqdOSRR0qSlixZ0iGCBj0aAAAAQIL07du3SecVFxfrhhtuUF5entxut3Jzc+PXlpaWtmSJraZtRUAAAAC0SW67Vd/ceXKyy6jDbbcmu4R91B6paMj555+vzz//XLfeeqtGjBghr9ercDisU045pd6ejvaIoAEAAIBGGYbR5qYpJUMiekJ2796tDz/8UDNmzNDtt98eP75mzZqDvndbwtQpAAAAoIk8Ho8kqaSk5IDvYbVGRmJM06xz/MEHHzzge7ZFxFIAAACklEceeUQlJSXasmWLJOmtt95SYWGhJOm6665TZmbmfq8dPXq0JOn666/XySefLKvVqgsvvLBZz8/IyNCkSZP0pz/9SYFAQN27d9f777+v9evXH+B31DYRNAAAAJBSZs6cqQ0bNsS/fu211/Taa69Jki655JIGg8Y555yj6667Tv/617/03HPPyTTNZgcNSXrhhRd03XXX6dFHH5VpmjrppJP0v//9T926dWv+N9RGGebeYzYAAABQZWWlvF6vJKm8tFxuq1NWjz3JVQHtBz0aAAAAjSj57/faevcC1WwoS3YpQLtB0AAAAGiE//tSKWSqcv7WZJcCtBsEDQAAgEYEd1dLkqpWFClcE0xyNUD7QNAAAABoTCjS0moGwqpasSvJxQDtA0EDAACgGXxLdyS7BKBdIGgAAAA0gS3XLUmqWVeiYElNkqsB2j6CBgAAQBM4+2bK0TdTMiXfMkY1gMYQNAAAAJrAmu2SZ1QXSZJvyQ6xFRnQMIIGAABAE9iyXXIPzZFsFgV3+BTYXJHskoA2jaABAADQBLZslywum9yHd5ZEUzjQGIIGAABAE1g7uSRJaSMj06eqvmGZW6AhBA0AAIBGGE6rLGk2SZK9S5okKVTup08DTTJnzhwZhqE5c+Y0+9rp06fLMIzEF9UKCBoAAACNsHZyxV/2LF575GDQlOkPJ7EqHIjYS399f+bPn9/o9S+88IIefPDBli+0A7AluwAAAIC2zprtjP/dsFskm0UKhhWuDMjitCaxMhyo66+/XmPGjKlzrH///o1e98ILL2jFihW68cYbm/ysSZMmqaqqSg6Ho7lltmsEDQAAgEbYov0ZkmQYhqwem0KlfoV9ASnb1cCVaKsmTpyo8847r0WfUV1dLYfDIYvFIpcr9f47YeoUAABAI2oHDUmypEWmT4UrA8koBwlSXl6uYDDY5PMnT56sd955Rxs2bIhPt+rTp4+kPVOy/vWvf+n//u//1L17d6WlpamsrKzeHo1PPvlEU6ZMUa9eveR0OtWzZ0/ddNNNqqqqarSO2bNn6+ijj1ZWVpa8Xq8OPfRQ/fa3v23ut9/iGNEAAABohLWTs87XFk8kaIR8TX9JRdsybdo0VVRUyGq1auLEibrvvvt0xBFHNHjNbbfdptLSUhUWFuqBBx6QJHm93jrn3HXXXXI4HPrFL36hmpqa/U6Xevnll+Xz+XT11Verc+fOWrhwoR5++GEVFhbq5Zdf3m8NK1eu1Omnn65hw4bpzjvvlNPp1Nq1a/XZZ5818yfQ8ggaAAAA9ai9otQ+Ixqe1BvRME1TVcHGf9vemtw2d7NXZHI4HDr33HN16qmnKicnR998841mzpypiRMn6vPPP9fIkSP3e+2JJ56o7t27a/fu3brkkkvqPae6ulqLFy+W2+1usI577723zjlXXXWV+vfvr9/+9rfauHGjevXqVe91s2fPlt/v1//+9z/l5OQ04TtOHoIGAABAPWqHCFvW3lOnbPuc09FVBas07oVxyS6jjgUXL1CaPa1Z10yYMEETJkyIf33mmWfqvPPO07Bhw/Sb3/xG77777kHVdNlllzUaMiTVOaeyslJVVVWaMGGCTNPU0qVL9xs0srKyJElvvPGGpk2bJoul7XZCtN3KAAAAkii4uzr+d8Ne95XJGhvR8KVO0OjI+vfvrx/+8If6+OOPFQqFDupeffv2bdJ5Gzdu1NSpU5WdnS2v16vc3Fwdc8wxkqTS0tL9XnfBBRfoqKOO0k9+8hPl5eXpwgsv1L///W+Fw21vqWVGNAAAAOoRqhU09paKU6fcNrcWXLwg2WXU4bY1PnLQVD179pTf71dlZaUyMjIOvKYmjGaEQiGdeOKJKi4u1q9+9SsNGjRIHo9Hmzdv1tSpUxsMDW63W/PmzdPHH3+sd955R++++65eeuklHXfccXr//fdltbad5ZYJGgAAAPUI7q7Z72exVadClanTDG4YRrOnKbUn33//vVwu1z7N3XtLxC7dX3/9tVavXq1nnnlGl156afz47Nmzm3S9xWLR8ccfr+OPP17333+/7r77bt122236+OOPdcIJJxx0fYnC1CkAAIB6BIsbGtGI9mgwdard2blz5z7Hli9frjfffFMnnXRSoz0PHo+nwalNTREbdai94IBpmnrooYcavba4uHifYyNGjJAk1dTsPxwnAyMaAAAA9Whw6hT7aLRbF1xwgdxutyZMmKAuXbrom2++0eOPP660tDTdc889jV4/evRovfTSS7r55ps1ZswYeb1enXHGGc2qYdCgQerXr59+8YtfaPPmzcrIyNCrr76q3bt3N3rtnXfeqXnz5um0005T7969tWPHDj322GPq0aOHjj766GbV0dIIGgAAAPUINTB1qnYzuGmaCZlOg9Zx1lln6fnnn9f999+vsrIy5ebm6pxzztEdd9yh/v37N3r9z3/+cy1btkyzZs3SAw88oN69ezc7aNjtdr311lu6/vrr9cc//lEul0tnn322rr32Wg0fPrzBa88880wVFBToH//4h4qKipSTk6NjjjlGM2bMUGZmZrPqaGmGWXvMBgAAADJDYa355Qc69P6TJUkVFRXyeDx7Pg+Etfl3kQ3Sut1+ZHyEA8Ae9GgAAADsJVRSIzXwq1jDbpHhiMyzZ3dwoH4EDQAAgL001AgeE28Ip08DqBdBAwAAYC9NWU0qFffSAJqDoAEAALAXs6bxXZbZHRxoGEEDAABgL+GaUKPn7Fnilh4NoD4EDQAAgL2YNY2Hh9jUqRAjGkC9CBoAAAB7CfsbnzpFMzjQMIIGAADAXpo0osHu4ECDCBoAAAB7MZsworGnGZweDaA+BA0AAIC9NK8ZnBENoD4EDQAAgL00rRk82qNBMzhQL4IGAADAXprWDB4d0agKygyZLV0S0O4QNAAAAPbSpBENtz16shSuYlQDiTF16lT16dPngK7t06ePpk6dmtB6DgZBAwAAYC9mE3o0DKshwx2bPkVDeHtRUVGhO+64Q6eccoqys7NlGIaefvrpes+dOnWqDMPY58+gQYMafY7P59P06dM1Z86cxH4D7Ygt2QUAAAC0NeGaxqdOSZGVp4JVQRrC25GioiLdeeed6tWrl4YPH95oEHA6nXryySfrHMvMzGz0OT6fTzNmzJAkTZ48ucn1PfHEEwqHm/bfX1tH0AAAAKjFNE2Z/qaNUFjS2LSvvenatau2bt2q/Px8LV68WGPGjGnwfJvNpksuuaTF66qsrJTH45Hdbm/xZ7UWpk4BAADUFjSlJv5COdYQHiJotBtOp1P5+fnNuiYUCqmsrKzJ5xcUFCg3N1eSNGPGjPiUq+nTp0uKTMnyer1at26dTj31VKWnp+tHP/pR/LO9ezRmzpypCRMmqHPnznK73Ro9erReeeWVRusIBAKaMWOGBgwYIJfLpc6dO+voo4/W7Nmzm/y9HAyCBgAAQC3hJjSCx8T30mCJ2w7L5/MpIyNDmZmZys7O1jXXXKOKiooGr8nNzdVf//pXSdLZZ5+tZ599Vs8++6zOOeec+DnBYFAnn3yyunTpopkzZ+rcc8/d7/0eeughjRw5Unfeeafuvvtu2Ww2TZkyRe+8806DdUyfPl0zZszQscceq0ceeUS33XabevXqpSVLljTjJ3DgmDoFAABQS6wR3LA3/vtYize2aV/HbwY3TVPBJiz725psDosMw2ix+3ft2lW//OUvNWrUKIXDYb377rt67LHHtHz5cs2ZM0c2W/2v0h6PR+edd56uvvpqDRs2rN6pVzU1NZoyZYr++Mc/NlrH6tWr5Xa7419fe+21GjVqlO6//36ddtpp+73unXfe0amnnqrHH3+8Cd9t4hE0AAAAaontoWE4rY2ea02h3cGD/rAev2Fussuo46qHjpG9Cf97OlB7h4ALL7xQAwcO1G233aZXXnlFF1544UHd/+qrr27SebVDxu7duxUKhTRx4kS9+OKLDV6XlZWllStXas2aNRowYMBB1XogmDoFAABQS2wPjaYEDXYHTz033XSTLBaLPvjgg4O6j81mU48ePZp07ttvv60jjzxSLpdL2dnZ8alZpaWlDV535513qqSkRAMHDtTQoUN166236quvvjqoupuDEQ0AAIBa9kydakLQSEudZnCbw6KrHjom2WXUYXO0/u/M3W63OnfurOLi4oO6j9PplMXSeP2ffPKJzjzzTE2aNEmPPfaYunbtKrvdrlmzZumFF15o8NpJkyZp3bp1euONN/T+++/rySef1AMPPKC//e1v+slPfnJQ9TcFQQMAAKCWsD8aNJo0ohFrBu/4PRqGYbToNKX2ory8XEVFRfFVpfYnUb0jr776qlwul9577z05nc748VmzZjXp+uzsbE2bNk3Tpk1TRUWFJk2apOnTp7dK0GDqFAAAQC2xEQ2LswnN4J7U6dFINdXV1SovL9/n+F133SXTNHXKKac0eH1aWpokqaSk5KDqsFqtMgxDodCe3eoLCgr0+uuvN3rtrl276nzt9XrVv39/1dTUHFRNTcWIBgAAQC3xqVOOpjSD2+LXmMGwDBu/w20PHnnkEZWUlGjLli2SpLfeekuFhYWSpOuuu06ZmZnatm2bRo4cqYsuukiDBg2SJL333nv673//q1NOOUU//OEPG3yG2+3W4MGD9dJLL2ngwIHKzs7WkCFDNGTIkGbVetppp+n+++/XKaecoosvvlg7duzQo48+qv79+zfabzF48GBNnjxZo0ePVnZ2thYvXqxXXnlF1157bbNqOFAEDQAAgFriU6eaEDQMly0yPyQcaQi3ZjgbvQbJN3PmTG3YsCH+9WuvvabXXntNknTJJZcoMzNTWVlZOv300zV79mw988wzCoVC6t+/v+6++2794he/aFJ/xZNPPqnrrrtON910k/x+v+64445mB43jjjtOTz31lO655x7deOON6tu3r+69914VFBQ0GjSuv/56vfnmm3r//fdVU1Oj3r176/e//71uvfXWZtVwoAzTNM1WeRIAAEA7UPruepXPKZQxOks9zh8mSaqoqJDH46n3/C2/n69wRUBdbhglR9f6zwFSEeN7AAAAtYRrmt4MLtXaHZw+DaAOggYAAEAt9S1vG6gJafe2ynrPZy8NoH4EDQAAgFr2rDq1J2h89M9v9ML0BSr8dt+9E1Jpd3CgOQgaAAAAtezZR2PPa1LB15FlQld9vnWf81niFqgfQQMAAKCW+IhGPTuDr19epKA/VOeYJbrEbbiq42/aBzQHQQMAAKAWcz87gxtGpFdjw4q6m6BZ3KmzOzjQHAQNAACAWupbdcrpsWno5B6SpDWLd9Q5Pz6iQTM4UAdBAwAAoJb41KlaG/YNGJ2nQ4/MlyRt+LpI/uo9oxfx5W0Z0QDqIGgAAADUEmsGrw6E48cOHd9Vub3SlZHrVjAQ1oav90yfYkQDqB9BAwAAIMoMhaWgKUlav3JPmMjp7pVhGBowuoskac3i7fHPaAYH6kfQAAAAiIpNm5Kkbxdt3+fz/kfkSZI2riyWPxos4lOnqoIyw2YrVAm0DwQNAACAqNi0KVkN7d5Rtc/nnbt71Ck/TaFgWOuX75QkWdyREQ2ZklnNqAYOztSpU9WnT58DurZPnz6aOnVqQus5GAQNAACAqNiIRthi1Pu5YRjxUY01X0ZWnzJsFhnRxvEQDeFt3qJFi3Tttdfq8MMPl8fjUa9evXT++edr9erV9Z6/atUqnXLKKfJ6vcrOztaPf/xj7dy5s9Hn+Hw+TZ8+XXPmzEnwd9B+2JJdAAAAQFsRbiRoSFK/kbla9PZ6FX67W6FQWFarRZY0m0L+ULQh3N1K1eJA3Hvvvfrss880ZcoUDRs2TNu2bdMjjzyiUaNGaf78+RoyZEj83MLCQk2aNEmZmZm6++67VVFRoZkzZ+rrr7/WwoUL5XA49vscn8+nGTNmSJImT57c5PqeeOIJhcPhxk9sBwgaAAAAUbERjYbGJbK7euRMs6nGF1Tx5krl9kqXxWNXqKSGJW7bgZtvvlkvvPBCnZBwwQUXaOjQobrnnnv03HPPxY/ffffdqqys1JdffqlevXpJksaOHasTTzxRTz/9tK666qqE1VVZWSmPxyO73Z6weyYbU6cAAACi4kEjtP+mbsNiqEufDEnS9vWlkvb0abDEbds3YcKEfUYiBgwYoMMPP1yrVq2qc/zVV1/V6aefHg8ZknTCCSdo4MCB+ve//73fZxQUFCg3N1eSNGPGDBmGIcMwNH36dEmRPgyv16t169bp1FNPVXp6un70ox/FP9u7R2PmzJmaMGGCOnfuLLfbrdGjR+uVV15p9HsNBAKaMWOGBgwYIJfLpc6dO+voo4/W7NmzG702EQgaAAAAUbFm8Jpgw1NX8vpGgsa29WWSau+lwYhGe2SaprZv366cnJz4sc2bN2vHjh064ogj9jl/7NixWrp06X7vl5ubq7/+9a+SpLPPPlvPPvusnn32WZ1zzjnxc4LBoE4++WR16dJFM2fO1Lnnnrvf+z300EMaOXKk7rzzTt19992y2WyaMmWK3nnnnQa/r+nTp2vGjBk69thj9cgjj+i2225Tr169tGTJkgavSxSmTgEAAETFRjT8gUaCRnxEIxY0YruDd9wRDdM0ZTbyc2ltht0iw9h/P01TPf/889q8ebPuvPPO+LGtW7dKkrp27brP+V27dlVxcbFqamrkdDr3+dzj8ei8887T1VdfrWHDhumSSy7Z55yamhpNmTJFf/zjHxutb/Xq1XK79/T+XHvttRo1apTuv/9+nXbaafu97p133tGpp56qxx9/vNFntASCBgAAQFSsGTxgSpYGGsLz+2ZKkkq2+1RdGUiJTfvMQFhbbv882WXU0e3OCfEVvw7Ut99+q2uuuUbjx4/XZZddFj9eVRVZ3ri+IOFyueLn1Pd5U1199dVNOq92yNi9e7dCoZAmTpyoF198scHrsrKytHLlSq1Zs0YDBgw44DoPFFOnAAAAoszo1KmgacqTtf8XSJfXrszcyMvfjoIyWdyxEY2OGzQ6om3btum0005TZmamXnnlFVmte0JL7OW+pqZmn+uqq6vrnHMgbDabevTo0aRz3377bR155JFyuVzKzs6OT80qLS1t8Lo777xTJSUlGjhwoIYOHapbb71VX3311QHX3FyMaAAAAETFm8FNydvJ1eC5eYdkqHRnlbatL1PnrmmSOvbUKcNuUbc7JyS7jDoM+4H/zry0tFQ/+MEPVFJSok8++UTdunWr83lsylRsClVtW7duVXZ29kGNZjidTlksjdf/ySef6Mwzz9SkSZP02GOPqWvXrrLb7Zo1a5ZeeOGFBq+dNGmS1q1bpzfeeEPvv/++nnzyST3wwAP629/+pp/85CcHXHtTETQAAACiwrWDRnbDL5F5fTK1esF2bV9fpqH9I1OpOvKIhmEYBz1Nqa2orq7WGWecodWrV+uDDz7Q4MGD9zmne/fuys3N1eLFi/f5bOHChRoxYkSDz0hE74gUWfnK5XLpvffeqxNsZs2a1aTrs7OzNW3aNE2bNk0VFRWaNGmSpk+f3ipBg6lTAAAAUXumTknp2Q2PaOQfEm0ILyiV4Yq8gHfkEY2OIhQK6YILLtAXX3yhl19+WePHj9/vueeee67efvttbdq0KX7sww8/1OrVqzVlypQGn5OWFhnlKikpOah6rVarDMNQKBSKHysoKNDrr7/e6LW7du2q87XX61X//v3rnQ7WEhjRAAAAiIpNnQrJbHTqVOfuXlntFtVUBuWrju4o3oFHNDqKW265RW+++abOOOMMFRcX19mgT1KdFaJ++9vf6uWXX9axxx6rG264QRUVFbrvvvs0dOhQTZs2rcHnuN1uDR48WC+99JIGDhyo7OxsDRkypM7O401x2mmn6f7779cpp5yiiy++WDt27NCjjz6q/v37N9pvMXjwYE2ePFmjR49Wdna2Fi9erFdeeUXXXntts2o4UAQNAACAqNqrTnk7ORo812qzKLdnurZ9X6qd233yKBJUzFBYhpVJI23VsmXLJElvvfWW3nrrrX0+rx00evbsqblz5+rmm2/Wr3/9azkcDp122mn685//3KT+jCeffFLXXXedbrrpJvn9ft1xxx3NDhrHHXecnnrqKd1zzz268cYb1bdvX917770qKChoNGhcf/31evPNN/X++++rpqZGvXv31u9//3vdeuutzarhQBmmae5/60sAAIAUsv2hJQpsrdTnFUFNuPlw9eyXJ0mqqKiQx+PZ5/xPX1mj5R9s0tBJ3XTIVzslSV3/b5ys3oZDCpAKiNsAAABRoerI1KeQKaU3MnVK2rNx37aCchkudgcHaiNoAAAARIWjvRbWNJtsTVhhKf+QyGpTuwor9mzaR0M4IImgAQAAEBdbdcqV1bSpT95OTqVlOBQOmwpZI8uZMqIBRBA0AAAAJJlhU0Yo0rrqbsK0KSmyV0Je38j0KX84cowRDSCCoAEAAKA9oxmSlJbjbvJ1nbt7JUnVoUjSYEQDiCBoAAAAaM8eGmHTlLeRzfpqy8qLbMxWVcNeGkBtBA0AAABJ4dq7gjdjRKNTfiRoVFRGAka4iqlTgETQAAAAkLRnRCMoKb05IxpdIkGjkt3BgToIGgAAAJICFZGRiJAppXduetBwuG1Ky3TIH90DmWZwIIKgAQAAIKmquFqSFDQkZ3RPjKbqlJ8mfyRnMKIBRBE0AAAAtCdoyGaRYRjNujYrz6NAPGgwogFIBA0AAABJUnWZX5JkNGFH8L11ykurNXWKEQ1AImgAAABIkvylNZIki6v5QSMrb8/UKTMQlhkIJ7I0oF0iaAAAAGhPM7itmf0ZUqRHI2hG9uCQWOK2vQgGg/rDH/6gvn37Ki0tTcccc4xWr16d7LI6jOb/SwIAAOiAgtHeCrvH0exrvdkuWW0WBUzJaUSmT1kznIkuEQkUCoV0zjnn6PPPP9dNN92ktLQ03X333TrjjDO0cuVK2Wy8Jh8sfoIAAACSQtF9NBwZ9mZfa7EYyuzilr+8Rk7REN4ezJw5Ux9++KEWLlyoww8/XJKUl5enH/3oR5ozZ45OOOGEJFfY/jF1CgAAQJIR7auwe5ofNCQawtuT0tJS3X333brxxhvjIUOSJkyYIElavnx5skrrUAgaAAAg5YXDpoxwJCTYvM2fOiVJWflp8SVuQ4xotGnPP/+8ysvLddVVV9U5brdHQmZ5eXkyyupwmDoFAABSnt8XjL8UOdIPfERjF5v2tQuvvfaaBg8eLI/Ho6KiovjxTZs2SZI8Hk+ySutQCBoAACDlVVcGZIvu0Wd1H1jQyMrzaGu4406dMk1TPp8v2WXUkZaW1uzNFUOhkObPn6/Kykrl5ubWe07fvn0TUV7KI2gAAICUV+MLyhZ9YbUcwIZ9Ut2pU8Fyf6JKazN8Pp+8Xm+yy6ijoqKi2aMP69atU2VlpX75y1/qxBNPrPPZP/7xD7344osaNmxYIstMWQQNAACQ8qp9Admjvxg3nAcWNJxumxS9tmZ3daJKQ4IVFBRIkiZPnrzPylL33HOP8vLyNHDgwCRU1vEQNAAAQMqrqQzIEQ0aFveBvx7ZM51SeY2C5R2vGTwtLU0VFRXJLqOOtLS0Zl9TWVkpad8+jNLSUn3yySe6/PLLE1IbCBoAAACqLg8oLTZ1ynVgIxqS5MpxSeU1HXIfDcMwOkSTdHp6uiTtE5qeeeYZ+f1+XX311fFjwWBQM2bM0FNPPSW/369LL71Uf/7zn5vdF5KqWN4WAACkvEBZTfzvhuvAfw/ryY3+ht0fOtiS0EKGDRsmi8Wijz/+OH6ssLBQd911ly699NI6/Rm33HKLVq5cqZUrV2rNmjX64IMP9PLLLyej7HaJEQ0AAJDyAtGpTmGrIcNy4L+tTu8W+Y2/NWTKNE1+890GdenSRWeddZYeeughpaWlKTMzUw8++KC6d++uhx9+OH5eYWGh/vnPf6qgoECZmZmSpB/84Af68ssvdf755yer/HaFEQ0AAJDygpWRoGHaDu7VKKtnZFUmi6RwDaMabdWTTz6pM844Q3/+85/1pz/9SWeddZY++eQTZWRkxM+ZN2+exo0bFw8ZklRcXKy8vLxklNwuMaIBAABSXnwn7wNc2jbGm5umMtOUxTBUXVwtT7e2tRwsIjp16qRXX321wXN27dqlrKys+NeBQEDvvfeepk2b1sLVdRyMaAAAgJQXropssGccRCO4JNkcVsXawKt2VR1kVUim0aNHa968edq8ebNKSkr005/+VCNGjNCECROSXVq7QdAAAAApz6yOTHOyHEQjeEww2pdRs7umkTPRlk2YMEE/+9nPNHLkSPXr108Oh0MvvvhisstqV5g6BQAAUp7pD0kWyZJ28K9GIatFCoXlLyVotHe33367br/99mSX0W4xogEAAFKaaZoyAmFJks1jP/j72SOvV4Ey/0HfC2jPCBoAACClBWpCssmUJNm9joO/oTPS5xGq6Hib9gHNQdAAAAAprcYXlD3aV2H1HPzUKcMduUfYFzzoewHtGUEDAACktOrKgGzRffWs7oOfOmVNi9wjtpIVkKoIGgAAIKVFRjQifz/Y5W0lyeqNhhU/G/YhtRE0AABASqupDMSnTlncBz91yp4e6fOwRBvMgVRF0AAAACmtujIQH9FIxD4ajixn5F4hggZSG0EDAACktERPnXJ1igQNW9iUaZoHfT+gvSJoAACAlFZd4Y/vYJyIqVOuzi5Jkt2ILJ0LpCqCBgAASGmBioCMWI9GAqdO2QxDVSXsDo7URdAAAAApLVge2VjPtBgybAf/amRx2RTrzqgqqj7o+wHtFUEDAACktKDPH/mLIzGvRYZhKBTt+ajeTdBA6iJoAACAlBaqivZROA6+ETx+T0skafhLmTqF1EXQAAAAKc2M7uCdiP6MmLA98ooVKPUn7J5Ae0PQAAAAqS26g3ciVpyKc0TuFawgaCB1ETQAAEDKCgXDsgQje11YPYkLGrH9OEK+QMLuCbQ3BA0AAJCyanxB2aKN2zaPI2H3taRFQovpCybsnkB7Q9AAAAApq7oyEN8VPBYOEsHqjYYWNuxDCiNoAACAlFVTGZA9vllf4ladsqfbJUlGINzImUDHRdAAAAApq8YX3DOikcBVpxyZkd3BLUGCBlIXQQMAAKSsal+tqVMJXHXK2SkSNGymFGJUAymKoAEAAFJWTeWeEQ0jgSMaziyXpMhm41UVrDyF1ETQAAAAKau6MiBbC/RoWDyRHg27IVWxlwZSFEEDAACkrDo9GgmcOhW7l90wVM3u4EhRBA0AAJCyqiv8LTJ1qnZoqSquSth9gfaEoAEAAFKWvzIgS3zqVAJ3BrcYClki960prUnYfYH2hKABAABSVrAysnO3aUiGI7GvReHoluNBpk4hRRE0AABAygr7IitCGQ6rjOjIRqKYjkhzeaCcoIHURNAAAAApK1wdkiQZzsStOBVjOCNTsULRURMg1RA0AABASjLDplQTCQGWtMT1Z8QY0XuGq9hHA6mJoAEAAFKSvzqoWLywJnBp2xhbdC8NRUdNgFRD0AAAACmpujIoe2zFqTR7wu9vS4/c0/CHE35voD0gaAAAgJRU4wvs2awvgUvbxjgynZF7h8IKh82E3x9o6wgaAAAgJdVU1toV3JX4ZvBY0LAbUk0lfRpIPQQNAACQkqp9AdliQaMFejSs0R4NhyFVlRM0kHoIGgAAICVVVwTiPRpGC0ydiq1kZTcMVVWwlwZSD0EDAACkpKpyf4v2aMQazBnRQKoiaAAAgJTkK6/VDO5OfI9GbDqW3ZCqy2sSfn+grSNoAACAlFRV5m/ZqVPRoGEYhqpLmDqF1EPQAAAAKclXVtOiU6cMm0VhS+QB/jJGNJB6CBoAACAl+cr8LbrqlCSZjsirVrCMEQ2kHoIGAABISVVlftliO4M3so/GRxs/0pvr3lQwHGzeQ5yRABNiHw2koJaJ7wAAAG2YvzooIxCWFAkYhrPuK1FRVZFmzJsR//rXn/xaFqdFC7cu1F1H3SUjGlAaY3FbpVIp7GtmQAE6AEY0AABAyqm9tK3htMqw7gkOpTWluvL9K/XRpo/ix/pn9ZfFsOiNdW/ooSUPNfk5sU37zGqCBlIPQQMAAKQcX+meFadqT5uqDFTq6g+u1tqStcpx5cSPv3DaC7pj/B2SpKdWPKXnvnmuSc+xeR2Rv/hDMk0zQdUD7QNBAwAApBxf7RGN6IpT1cFqXffRdfq66GtlObP08HEP17nmnAHn6PqR10uS7l10r95d/26jz7FnRIKGXZK/ilENpBaCBgAASDm+0n1XnLrj8zu0aNsieewe/e2Ev6lfp377XPeToT/RxYMuliT9YcEfGm0Ot3kjU6fshsHu4Eg5BA0AAJByao9oWFw2bSrfpP+u/68k6eHjHtbhOYfXe51hGLp1zK3KcmappKZES3csbfA5Rq3dwasqCBpILQQNAACQcqrK/HLEejTcNr26+lVJ0oRuEzQmf0yD19osNh3T4xhJ0ocbP2zw3NhoicOINKADqYSgAQAAUo6vzC9HbKGpNIv+s/Y/kqQpA6c06frjex0vKbK/RkNN3pb4iIahakY0kGIIGgAAIOX4yvxyRkc0vg9sVHF1sXLduTqm5zFNun58t/Fy29zaWrlV3xZ/u9/zLK7aU6cY0UBqIWgAAICU4yvzyxF9C1pQukiSdPaAs2W32Jt0vcvm0oRuEyQ1PH3KQo8GUhhBAwAApBTTNFVV5pczOnVqaeVXMmTo3AHnNus+8elTtTb221ssaNgMQ9VljGggtRA0AABASglUhxQMhOPN4KXWCk3sMVHdvN2adZ9JPSbJali1ZvcabSrbVO85hsumWAdHoKzmYMoG2h2CBgAASCm+6MiCM/oWVGqraHITeG2ZzkwdkXeEpP2PahgWQ7E5WkH20UCKIWgAAICU4iv3y6rIdCZJcqa7dXT3ow/oXsf1Ok5SZPWp/TGckelTQR9BA6mFoAEAAFKKr3TP0rYBI6ATBpwkm8V2QPeKBY2lO5ZqV9Wues+J9WmYVQ3vIg50NAQNAACQUqrK/XJa9vRnnND7hAO+V74nX4M7D5YpU3ML59Z7jtUTCRqWkKlATeiAnwW0NwQNAACQUmpv1ldpr9bgzoMP6n4Tu0+UJC3ctrDez62eyJK5DsNgd3CkFIIGAABIKb5aS9vavS4ZhtHwBY04Ij/SEL542+J6dwm3uiNBg700kGoIGgAAIKX4ymrkiE6dyszOPuj7Dc8dLpvFpu2+7SosL9znc6P2pn2MaCCFEDQAAEBKKdpVEh/RyM3JO+j7uW1uDek8RJK0ePvifT63uK2SJLthqJoRDaQQggYAAEgp5aW++GZ9Nq8zIfeMT5+qN2jUGtEgaCCFEDQAAEDKCIfDCvus8c36LNFG7YMV27hv8baGg0Z1BVOnkDoIGgAAIGV8u32NrGFbfNUpa4KCxsguI2U1rNpSuUVbKrbU+cwSbQZ3WAxVsTs4UghBAwAApIx5qz+TJDkSPKKRZk/T4Z0Pl7Tv9CmmTiFVETQAAEDKWFLwlSTJFV11yuJ1JOzeo/NHS9p3+hSrTiFVETQAAEBK2OHboe27dskiyaZI0EjU1CmpVp/G3iMarlqrThE0kEIIGgAAICV8uvlTpfnT4/0ZshoyoiEgEUZ1GSWLYdGm8k3aXrk9fjw2dUqSgkydQgohaAAAgJQwr3Ce3IH0PStOpdkPelfw2rwOrwZlD5JUd1TDsFpkxJpC/CGFAuGEPRNoywgaAACgwwuEAvpiyxdKC2TE99BI5LSpmNj0qUXbFtU5Hlt5ym4YNIQjZRA0AABAh/flji/lC/qUGeoc3xXc4m25oPHl9i/rHK+78hR9GkgNBA0AANDhzSucJ0nKUb6csRWnWmBEY1RepE+joKygzn4atVeeqmYvDaQIggYAAOjwPin8RJKUFkhP+GZ9tWU6MzUid4QkaW7h3PjxPSMaBiMaSBkEDQAA0KFtKtukgrIC2WRTuNIip9FyIxqSdEzPYyTVHzQchtgdHCmDoAEAADq0eZsj06aOyB6ncMjcsyt4C/RoSNIxPSJBY+HWhfIFfJFn1Z46VUnQQGogaAAAgA4tNm1qfNbRkiSXteVWnZKkQzIPUQ9vDwXCAX2x9QtJe02dYtM+pAiCBgAA6LB8AV98qdmhnpGSJFesGbyFRjQMw4hPn4o1oddddYoRDaQGggYAAOiwFm5bKH/Yr+7e7soMdZYUedmXWq5HQ9ozfWruprkKm+E6q04xooFUQdAAAAAd1udbPpckHd39aFWVB2SRZDMjn7XU1Ckpsp+Gx+7Rrupd+mbXN3WawasZ0UCKIGgAAIAOa+mOpZKkMflj5Cvzx5e2lUUyXLYWe67dateEbhMkSXM2zdmrR4OggdRA0AAAAB1Sub9cq3evliSN7DJSVWV+OWMrTqXZZViMBq4+eLHpU/MK59VddcoXUDhstuizgbaAoAEAADqkr3Z+pbAZVg9vD3VJ6yJfuV+O6B4a1hZqBK9tYo+JMmRoVfEqFZnFkqL9ISbTp5AaCBoAAKBDWrJjiSRpVN4oSZKv1C9nKzSCx2S7sjUsd5gk6dOiSK+IYRiy0RCOFEHQAAAAHVKsP2Nkl8iytlXlfjksLbsr+N6O7XmsJOl/he9Ktshrl92QKktrWuX5QDIRNAAAQIcTCAX09c6vJUmjuoySaZrylbXuiIYkndr3VBkyInt5uCIPdxhSZQkjGuj4CBoAAKDDWVW8StWhamU5s9Q3s69qfEGFQ+aeHo1WChpdvV01Nn+sJKncUikpsvKUr4wRDXR8BA0AANDhxKZNjegyQoZhyFcaGUFw22O7gjtarZYz+58pSdoe3ikpNnWKEQ10fAQNAADQ4SzZHm0E7xJtBI82X7uskVef1po6JUkn9DpBbptbu1QiKRI0fPRoIAUQNAAAQIdimua+jeBlkaAR20ejtaZOSVKaPU0n9j5R5VafpOjUKUY0kAIIGgAAoEMpKCvQ7prdclqdGtx5sCTJFw0a9ug+eZZW2EejtjP7nalKSyRoOFh1CimCoAEAADqU2GjGkJwhclgjvRi+Mr8MSdbojtyWNFur1jQmf4zk2rO8ra/UL9Nkd3B0bAQNAADQocT6M2LTpiTJV1YjR3RpWxmSJa11RzQshkV98vpJikydCgbC8lcFW7UGoLURNAAAQIeyd3+GJPnKAvGgYXHbZFiM+i5tUYd3HypJslrCklh5Ch0fQQMAAHQYRVVF2li+UYYMDc8dHj+ejF3B95bXuaskyWYJSWLlKXR8BA0AANBhfLXzK0lSv6x+ynRmxo/7SvdMnUpW0LC4I30htmgdjGigoyNoAACADuProq8lScNyh8WPmWFTVeUBOaO7grd2f0ZMLGg4jMjrV0VJdVLqAFoLQQMAAHQYsRGNYTl7gka1L6Bw2IyPaLTmHhq1GdGg4ZJVkrRp+5ak1AG0FoIGAADoEELhUHxEY2ju0Pjx2B4abkdsV/DWXdo2JjaiYZVFVkmbd+xISh1AayFoAACADmFtyVpVBauUZktTv8x+8ePxoGGPBo0kTZ0y7BbJGhlWcRhS6e7KpNQBtBaCBgAA6BC+KopMmxqaM1RWizV+vCoaNFy22IhGkoKGYcjqjWwg6LIYMiut2l29Oym1AK2BoAEAADqEr3fu2wgu7RnRSPaqU5JkzYwFDSktkKHPt3yetFqAlkbQAAAAHUK8EXw/QcNmmpIkS1pyejQkyZrplCS5DUOOkEufbSBooOMiaAAAgHavzF+mdaXrJEWmTtUWmzplDUaCRrJWnZJqBY1o1llesFJhM5y0eoCWRNAAAADt3oqiFZKk7t7u6uzuXOczX5lfFkmWcHREI5lBIyMydSrdFUkagQrpm13fJK0eoCURNAAAQLu3v2lTkuQr98f7M2QxZDit+5zTWuIjGtHVp9L8Gfpk8ydJqwdoSQQNAADQ7sX2zxieO3yfz3xlfjmjbzwWj02GYexzTmuJN4NHBleUFsjQgq0LklYP0JIIGgAAoF0zTbPeHcElyQybqioPyBENF8naQyPGmhEZ0bCHIn0Zaf4MrShaoUAokMyygBZB0AAAAO3apvJNKqkpkcPi0KDsQXU+q64MyAyb8alTyWwEl/b0aBhmZLndrFCOakI1WlW8Kql1AS2BoAEAANq15TuXS5IO63yY7Na6QSK2tK0n2nydzEZwSTJsFlm8kRpcFqmL2U2StHTH0mSWBbQIggYAAGjXGmwEjwaNtGiTRjL30IipvZeGN5AlSVq2Y1nyCgJaSPL/tQEAAByEJTuWSNp/I7gkue1WKRhusRENnz+o6kBY/mDkT066Q2mO+l+zrBkOBTZLboshS3UkdCzdsVSmaSa1UR1INIIGAABot0qqS7R692pJ0hF5R+zzeSxoOK2JbQYPhU0t21SiD1dt14erdui77eV1PnfaLDr58HydM6q7ju6fI5t1zySS2IiGyyKFqky55Nau6l3aVL5JvTJ6JaQ+oC0gaAAAgHZr8fbFkqT+Wf332ahP2hM0EtUMvnp7uV75slD/WbpZO8tr9vncZjFksxqqDoT15vItenP5FuWmO/XLkw/VeaN7yDCMeNBIi4afYZ5RWlj5mZbuWErQQIdC0AAAAO3Wom2LJNU/miFJFcXVkiS7eXC7gj/92Xq9v7pEywtL48fSnTYdc2iuTjgsTxMH5KhTmkMWiyHTNPX15lK9tmSz3ly+RTvLa3TrK1/pkzVF+v3ZQ+J7aXjsFkkhDXGPiAeNH/b/4QHVB7RFBA0AANBuLdoeCRpj8sfU+3l5NGhYQ9Gg0YRm8OpASEs27NbHKzfGj9377neyOFyyWQwdO6iLpozuocmHdpHDtu+6OoZhaFiPLA3rkaXfnnqYnvjke90/e7XeXL5FSzft1mNHD1AnRXo0JKmvfaAkGsLR8RA0AABAu7S7erfW7F4jSRqdN7rec8p3RYKGUROSpPjSsnv7fmeF/rdim+au3qllG0vkD4UV9lfHPx/XN1unjuqjM4Z3U47X2eQaHTaLrjm2v8b366zrX1yqTcVVuv7tFXpWXjmioyz5RndJ0rrSdSqtKVWmM7PJ9wfaMoIGAABol77c/qWk/fdnhAJh+cr8kZedcGxEY0/Q2Fleo+fmb9D/VmzV6u0Vda7Ny3DqiG6d9Fj066cvHyuPx3PAtY7q1Un/vWGibn15ueau3C5JsprRF7FKm/pk9FFBWYGW71yuST0mHfBzgLaEoAEAANqlWH/GfqdN7Y6MSLgdkelNht0ii8OqUl9Af5+3TrM+K1BVIDLSYbMYmtA/RycOztNR/Tqrb45HPp9Pj01LXL0ZLrse+9Fo3fafr1W+qETpMuS2SJVlfo3oN0IFZQVaumMpQQMdBkEDAAC0S03tz8jKckj+kCxpdj0+b50e/mityquDkqThPbN06ZG9dcJhecpM0NK3DbFaDP3xnKFasfILyReSy2Lo23W7NXL8SL2+9nV2CEeHQtAAAADtTnP6MzK8Dqm4Shur/br7v99Kkgblp+uWkw7VCYd1afVN8gzDUH6PDNWs3i23RSrZ6dPu9dmSpBVFKxQIBWS3tnzoAVoaQQMAALQ7tfszsl3Z9Z4TW9rWNCL9GZtrAnLZLZp+xuE6/4iesliStwu3LdOpGkkuw1BG2NADH1ao85B0VYfKtXLXSo3oMiJptQGJsu+abAAAAG3cwm0LJe1/2pS0Z+rUqu1lkqSQ06I3rjlaF47tldSQIUmWjMheGmk2QxYZSg9bVF7SW5I0f+v8ZJYGJAxBAwAAtDuNNYJL0nffl0iSbNFMMXlENx2an97SpTWJLbo7uNdplSRdObKnQpUDJEmvrvooaXUBiUTQAAAA7UpxdbHWlqyVVH9/hmmaevjDNSre6ZMkDciJLEvrTHe0XpGNiO0OnmaNpKDJPbI1deRJkqSt1d9p5uzlSasNSBSCBgAAaFc+2/yZJGlgp4H79GeYpqk/vfed/vz+aqWHIy/xh0WDhsXTdhqsrdERDUd0f4+ynVW67eSjlWHrKsMI668L3tf9s1fLjG7qB7RHBA0AANCufLzpY0nSsT2P3eezhz9aq7/OWSePKdlkyLAYsgTCktpY0Ij2aFhDpiySyoqqJEk/6BfZQ8PmWaO/fLhG9777HWED7RZBAwAAtBvVwWp9uvlTSdKxveoGjX9+UaD7Z6+WJN004RBJkifLobAvIKnuruDJZrhtMuyR1zCXRSqNBo3x3cZLkvLyNkqS/jZ3naa/uVLhMGED7Q9BAwAAtBsLti5QVbBKeWl5Gpw9OH78jWWbdfsbKyVJNxw/QMf0iEypSs92KVwZ2ZyvLY1oGIYRnz7lNgyV7aySaZoamz9WVsOq3YHN+uVpXWQY0jNfbNAvX/1KwVA4yVUDzUPQAAAA7cZHmyIrMh3X67j4Rnsff7dDt/w70jw9dUIf3XjCgPhmfemdnPERDaunbW0fFps+5bZI/uqQqisDSneka2jOUElSfv4m3X/+cFkthl75slA3/GuZ/EHCBtoPggYAAGgXQuGQ5myaIykSNCTp68JSXfP8EgXDps4e2V23nz5YhmHE99DIyHRK0VlHbWnqlLSnITwjOtJStjNSc2z61OdbPtfZI3vo0YtHyW419M7XW3XVs4tV5Q8lp2CgmQgaAACgXVi+c7mKq4uV7kjX6LzRKtzt0+XPLJLPH9LEATn603nD4hvxxXYFz4iOYhhOqwxb23rtiQWNdFdkL43SoshyvBO6TZAU2bgvFA7plCH5evKyMXLZLZrz3U5dNmuhyqsDySkaaIa29S8OAABgPz7aGJk2dUyPY+SrkabNWqSd5TUalJ+uR380Snbrntea2IhGmisSNNpSf0ZMbC8NT3RHwdiIxpCcIfLavSqtKdW3xd9Kko4ZmKtnrxindKdNC9cX6+InFqi40p+cwoEmImgAAIA2zzTNeH/GpO7H6urnvtSaHRXKy3DqH1PHKMNVN0jEejTcjsirjiWtbfVnSJK1k0uS5IpO7YqtPGWz2DQ2f6wk6YutX8TPH9MnWy9edaSyPQ59vblUF/z9C+0oq27dooFmIGgAAIA2b13JOm0q3ySHxaGPlmbp83W75HFY9Y+pY9Qty13n3JqqoPzVkT4GV3QqlbUNjmjYOkWmTtlqIrWW7ayKfxbr04gt5RszpHum/v3T8crPcGnNjgqd//cvtLmkSkBbRNAAAABtXmw0o7truF5etFOGIT188Ugd3i1zn3Njoxkur11GtHG6rTWCS3tGNIxgWHZjz6Z9kjSxx0RJ0tIdS7W7ened6/p38erln41Xj05uFezy6fy/faGCosrWKxxoIoIGAABo00zT1HsF70mSvl3XU5L02x8cpuMG5dV7fqw/Iz3bpVB5dLO+NjiiYXFYZUmP1JVmkSpKahQMRIJRd293HZZ9mMJmOL4Tem09s9P08s/G65AcjzaXVOn8v3+htTvKW7V+oDEEDQAA0KatKl6l1btXS2Gb/GVDNGV0D/1kYt/9nh/fQyPbpWA0dMSmKbU1tuioRobDKpl7apekE3qfIEn6YMMH9V7bNdOtl346XofmpWtHeY0ufHy+vttG2EDbQdAAAABt2kvfvipJCpQfrjG9uuv3Zw+Jb9ZXn4paIxrBXdEG6xz3fs9PJmt2JGh0io5slNbq0zihVyRozN86X+X++gNEbrpT/7rqSB3eLUNFFX5d9MR8fbOlrIWrBpqGoAEAANqsSn+V3ljztiQpMzhBf7tktJw2a4PX7Jk65VQwOkJg69w2g0Z8RMMZ+Z5q92kcknWI+mb2VSAc0LzCefu9RyePQy/85EgN65Gp4kq/Ln5yvlZsLm3ZwoEmIGgAAIA265Z3nlfI8MkMZOmJ8y9SZ2/jU6BiQcPrtkrBsGSRrG116lR0RCMtOkAT20sjJjaq8eHGDxu8T2aaXc9eMU4jemapxBfQxU/M19eFhA0kF0EDAAC0SW9/tUVzt7wjSTqux2ka1qNTk66LBQ1PdHqVrZNLhrVtvvLEVp5yhCKbaZQW1V2qNtan8enmT1UVbHgZ20y3Xc9eMVaje3dSWXVQP3qSsIHkapv/6gAAQEr7ZkuZbv3PHFk96yRJvzr6x026LhQIy1ca2THbGQxLkqxtdNqUtGdEw1IVlFR36pQkHZZ9mLp5uqkqWKXPN3/e6P3SXXY9czlhA20DQQMAALQpuypqdOU/FyvkWSjDMDUuf5y6e7s36dpYM7XdaZVREQkc9jbaCC5J1kynZJGMsCmXEdm0zzTN+OeGYej43sdLkj7YWP/qU3vzOm165vKxOqJW2PiqsKQlygcaRNAAAABtRiAU1s+fX6LNJZVyZy+RJJ0z4JwmX79rS4UkKbubR6FoI7i1syvxhSaIYTVkzYrU57EaCgbC8pX565xzYu8TJUlzN81VIBRo0n29TpuerhU2LnlyAWEDrY6gAQAA2oy73v5GC9YXy5tVoLB1t9Id6Tqu13FNvr54S2SH7M7dvXuWtm3DU6ekPXt8ZMeWuN3hq/P58NzhynHnqDxQrgXbFjT5vrGwMaYPYQPJQdAAAABtwosLN+qfX2yQYUjDB6+SJJ3W9zS5bE0fkdi1OTqi0TVtz9K2bXjqlLSnIbxTukOStGtzZZ3PLYZFx/WMhK3GVp/am9dp06xphA0kB0EDAAAk3adrivS711dIkq4+LlfflHwhSZpy6JRm3WdXbEQj2yUzEFnatq3uCh4TawjPcEZey4o27bs53/G9In0aH238SKFwqFn33zts/OjJBVq2qeTgigaagKABAACS6tttZbr6uS8VDJs6c3g3ZeUtU9AManjucA3sNLDJ9wnUhOKrNmXYI6841ja8tG1MLGi4oz3gRYUV+5wzJn+M0h3pKq4u1vKdy5v9jFjYGNsnW+XRkY3FBcUHVTfQmLb9Lw8AAHRo20qrNW3WIpXXBDW2b7buPW+IXlvzmiRpysDmjWYUb62UTMmd4ZA1ulxsW+/PkCRrNGhYayI179pSqXAoXOccu9WuY3ocI6npq0/tLRI2xmj8IZ1VURPUpf9YqAXf7zqIyoGGETQAAEBSVNQEdfnTi7S1tFqH5Hr0+I9H68sdC7S5YrPSHek6uc/JzbpfrD+jczdPrUbwtrviVIwt2qNhVgRkd1gUCoRVsmPfzfliu4R/tPGjOkvgNofHadM/po7RxAE58vlDumzWQn26pujAiwcaQNAAAACtzucP6vJZi/TN1jLleB16ZtpYZaU59PJ3L0uSzux3ZrOawKVaK0518ypY1D5WnJIki9cuw26RTKlrfpokaVc906cmdJ8gl9WlzRWb9W3xtwf8PLfDqicuPULHHpqr6kBYlz+9SP/9eusB3w/YH4IGAABoVVX+kC5/epEWFhQrPfob9p7Zadrh26G5hXMlNX/alFRrxanunnaz4pQU2ZQvtvJUl+g0qvr6NNw2t47qfpSk5q8+tTeX3aq//Xi0Th2aL38orGteWKLn5m84qHsCeyNoAACAVlMdCOnKfy7W/O+LIztYXzFWw3pkSZJeW/OaQmZIo7qMUr+sfs2+d2xEI7tr+5o6Je1pCO/ksUmSigr3XXlK2rP61MEGDUly2qx6+KJR+tG4XjJN6f9eX6G/fLjmgKdlAXsjaAAAgFZRWRPUlf9crE/XFsnjsOqZy8doVK9OkqRQOKRX17wqSTpv4HnNvndVhT+yo7YhZWU4ZPrDkrGn/6Gts0aX4PVEV8uqb0RDkib1mCSbYdPakrUqKC04+OdaDP3+rCG6/vgBkqT7Z6/Wra98pZpg85bQBepD0AAAAC1uR3m1Lnj8C32ypkhuu1Wzpo3V6N7Z8c8/2/KZtlVuU6YzUyf1OanZ949tcpeR45ZR7pcUXdrW1j5edWIjGo5AJCD5SqPBaS+ZzkyN7TpWUmJGNaTI1K2bTxyou354uCyG9MqXhbr4iQUqqqhJyP2RutrHvz4AANBurd1RrrMf/VwrNpeps8ehF64cp7F9s+uc88rqVyRFmsCd1uZvsFe8pX2uOBUTCxrh0hplRvtK6msIlxI7faq2H4/vo6enjVW6y6YvN+zWDx/5TN9sKUvoM5BaCBoAAKDFfLqmSOc89rk2l1Spb45Hr/18gkZGp0vFbK/crnmF8yRJ5w1o/rQpac+IRufuXgWLoo3g7WDFqZhYM3hod7Vyenol7X/61HG9jpPFsOjroq+1sWxjQuuYNDBXr19zlPrmeLS5pErn/PUzvfJlYUKfgdRB0AAAAAkXCpt6YPZq/fgfC1RWHdSoXll69eoJ6t3Zs8+5r699Pd4EfkjWIQf0vNiIRnadEY32EzTiIxqVQeV2jSxxW7S5/obwHHeOjux6pCTp7e/fTngt/XK9ev3nR+mYgZHlb3/x8nL96pWvVB2gbwPNQ9AAAAAJtbO8Rpf+Y4Ee+nCNTFO64IieeuHKI5Xtcexz7sE2gUuSaZraVXsPjVjQyGk/U6csLpssaZEVpzpnRKaOFW2qf0RDkk4/5HRJkaDREqtEZabZNWvqGN1y4kAZhvTS4k06+7HPVVBUmfBnoeMiaAAAgISZ/c12nfqXT/TZ2l1y2626//zhuve8YXLZrfWe//mWz7W1cqsyHBk6sfeJB/TM8uJqBapDstgMZXRxtcupU5Jky42MZKRH385KtvkUCoTrPff4XsfLbXNrU/kmLd+5vEXqsVgMXXf8AD17+Th19ji0amuZznj4U727YluLPA8dD0EDAAActN2Vft34r6W68p+LtbO8RgO6ePXmtUfpnFE9GryudhN4c3cCjymO9md0yvNIFUGZ/lBkadvs9jOiIUmOXumSJEtRlZxpNoXDpoq31j+CkGZP0wm9TpAkvbXurRat6+gBOXrn+ok6oncnldcE9bPnvtQf3vlGgVD9IQiIIWgAAIADZpqm/vv1Vp34wDy9vmyLLIb0s2P66a3rjtaAvPQGr629E/iBTpuSpF2xFae6e1Szdrckyd4jvd0sbRvj6JUhSfJvLK/VEF5/n4YkndHvDEnSuwXvyh/adyncRMrPdOnFq47UlRP7SpKe+GS9fsQSuGhE+/oXCAAA2owNuyo1ddYi/fz5JSqqiIxivPbzo/TrHwza71Sp2l5e/fJB7QQeE+tlyO7mUfXqSNBwDezU0CVtkrN3JJgFtlUqNz/SNL+/lackaWz+WHVxd1GZv0yfFH7S4vXZrRbddtpg/e2S0Up32rSwoJglcNEgggYAAGiW6kBID32wRic+ME9zV++Uw2rR9ccP0FvXHa0RPbOadI/KQKVeWPWCJOniwy4+4FpM09TmNSWSpLw+GaqO/r09Bg1rhlPWLKdkSrnRxvCdG/c/omG1WHXaIadJkt76vmWnT9V2ypB8vX7tniVwz/3r53p3xdZWez7aD4IGAABoEtM0Nfub7Trxgbl64IPV8gfDOrp/jt69caJuPnFgk0YxYl7+7mWV+cvUJ6NPvNfgQOze5lNVmV9Wu0WdHVaZVUEZLpscPRqettVWOXpHpk9lGZGvt68vk78quN/zT+8XWX1qbuFcldaUtnh9MbElcI/un6OqQEg/e26JHpuztkVWwEL7RdAAAACNWrezQlNnLdKV/1ysTcVVys9w6S8XjdSzV4zVIbneZt3LH/Lrn9/8U5J0+ZDLZbU0PaDsbfN3kalSXftlyr+uRJLkGpAlw2oc8D2TKd4QvqtKWXlpCodMbfymeL/nD+w0UId2OlTBcLBF9tRoSGaaXU9PG6OpE/pIkv707nf63RsrFAoTNhBB0AAAAPtVWhXQ79/+RidHp0nZrYauntxPH95yjM4c3k2G0fwX+jfWvaGdVTuVl5YX3w/iQG2O9mR0H9hJNe24PyPGGR3RqNlYrj5DsiVJG74uavCaKQOnSJKe/PpJVQWrWrbAvdisFk0/83D97vTBMgzpufkb9dNnv1SVn839QNAAAAD1CIVNvbBgo46dOUdPfrpewbCpYw/N1Xs3TtKvThkkj9N2QPcNhoOatWKWJOmywy+T3Wo/4BrNsKnNq0skSd16p8sfXaGpPQcNe1ePDLtFZlVQvaOrUG1YuUvhBkYJzhlwjrp7u6uoqije99Larji6rx69eJQcNos+WLVdFz0xX7tYkSrlETQAAEAdn64p0ml/+US//c/XKq70q1+uR09PG6NZ05o/TWpv7xe8r03lm5TlzNK5A849qHsVb61UdUVANqdVGf6gZEq2vDRZM50Hdd9kMqwW2btHfsaZMuVw21RVHtCOgv2v7GS32nX18KslSf9Y8Q+V+ZOzCtSpQ7vq+Z+MU6bbrmWbSnTe377Qhl3sJJ7KCBoAAECStHZHha54epEueWqBvt1WrgyXTb87fbDevXGSJh/a5aDvHwgH9MTXT0iSfnTYj5RmTzuo+xV+G5kq1a1fpvxrI43QrkPb72hGTGz6VLCwQr0Oj0yfKviq4elTpx9yuvpl9lOZv0xPr3i6pUvcrzF9svXq1RPUPcut9UWVOuexz7V8U0nS6kFyETQAAEhxuypqdPsbK3Tyg/P04bc7ZLMYmjqhj+beeqyuOLqv7NbEvC48vORhrS1Zq3RHui4adNFB329Pf0aWqldHGqbb87SpmNjGfTUbytRnaI4kqeDrXQ1eY7VYdd3I6yRJz616TkVVDQeTltS/i1f/+fkEHd4tQ7sq/brw8fma/c32pNWD5CFoAACQomqCIf197jpNvm+O/vnFBoXCpk44rIveu2mSpp95uDp5HAl71rzCeZq1MtKbceeEO5XpzDyo+4XDprZE98zoluNWuDwgw26Rs8/B3bctcEQ37gvu8Klnv0wZhrRrc4XKi6sbvO64XsdpSOchqgpW6YmvnmiNUverS4ZLL/10vCYOiCx/e+U/F+svH65psNcEHQ9BAwCAFGOapv779VadcP9c/fF/36q8JqjDu2XohSvH6cnLxqjfQfZh7G1b5Tbd9ultkqSLBl2kE3of+L4ZMbsKK1TjC8russpdHmk6dvbLkmFr/682Vq9D1s4uSZKluFr5/SLhqbHpU4Zh6PpR10uS/v3dv7Vg64KWLbQRXqdN/5g6RpeO7y1Jun/2av38+SWqrNn/viDoWNr/v0YAANBkXxeW6oK/z9fPn1+iTcVVystwauaU4Xrr2qM1oV9Owp8XDAf1q3m/UklNiQ7LPky/OOIXCblvYXT/jO79M1W1bKekjtGfEeM8gOlTkjS+23id2vdUBc2gbp5zswpKC1qyzEbZrRbd+cMhuvfcoXJYLXp35Tad/dhnWrml9TYXRPIQNAAASAHby6p1y7+X64xHPtXCgmK57BbdcPwAffyLyTpvdA9ZLInf4K4mVKP/++z/tGTHEnnsHs08ZqYc1sRMx4r1Z/TJcSu43SfDaVXayINvWG8rYhv3+QtK1XtoZ0mRzQkDNY3vTzFjwgwNyxmmMn+ZrvvoulbdMXx/LhjTSy9edaRy051avb1CP3zkMz30wRoFQuFkl4YWRNAAAKADqw6E9PCHa3TszDl6dUmhJOmsEd308S8m66YTByrNcWD7YTRmp2+nLn/3cr3z/TuyGlbdddRd6pXRKyH3DofC8f6MrB0+SZJnbL4srpb5XpLBOSAyOlOzvlSZHrvSO7sUCoa1/qudjV7rsrn00HEPKd+Tr4KyAt0y5xYFwoGWLrlRo3t30v9umKhTDs9XMGzqgQ9W66xHP9NXhSXJLg0thKABAEAHFAyF9dKijZp83xz9efZq+fwhjeqVpdevOUoPXjhSXTPdLfbslbtW6sJ3LtRXRV8pw5Ghv534N53Y+8SE3f/7ZUUKVIeU67HJ3FIhWQx5j+qesPu3BfYctxy9M6SwVLV8pwYdmS9JWvjmeoWaMAqQ487RI8c9IrfNrQXbFug3n/xGgVDyw0aO16m/XjJKf7lopLLS7Fq5pUxnPvKZrvznYq3ampz9P9ByDNM0af8HAKCDCIdNvf/Nds18/zut3VEhSeqe5davfjBIZwzrKsNI/BSpGF/Apye+fkLPrHxGgXBAfTP76uHjHlbvjN4Je0Z1ZUAvzlggX5lfJ/bLUNquKqWN7KLsCw5N2DNiKisr5fVGGuMrKirk8XgS/oyGVCzcqpLX1sqWl6ZOPxum52+fr6rygCZdOFBDJ/do0j3mFc7TDR/foGA4qKO6H6UHJj8gt63lQmZz7Civ1j3//VavL9us2GJUPxiSr4vH9dKEfjmytsB0PrQuggYAAB2APxjW68s26/F538cDRlaaXdce218/Ht9bTpu1xZ5tmqbe3/C+7lt0n7b7IvslTO45WXcffbfSHekJfdbHz67SN59tVX4Xt8YFIruBd7lhlBxdEx8Ckh00wtVBbfn9AikYVpdrRui7daWa96/Vcqfbdcmd4+VwN22q2GebP9NNc25SVbBKI7uM1CPHP6IMR0YLV990a3dU6MEPVuvtr7bGj3XNdOmskd112tCuGtw1o0V6iNDyCBoAALRj64sq9frSzXpp0SZtK4vss5DutOnSCb3102P6KcNlb7Fnb6vcpre/f1tvr3tb60rXSZK6e7vrl2N+qWN7Hpvw0ZPC73brjQeWSpJ+OD5PWlUs58BOyr18SEKfE5PsoCFJu/71raqW7ZTnyK7KOOMQ/evOhSrZ7tMRp/bRuDMPafJ9lu1Ypp9/+HOV+8s1oNMAzTxmpg7JbPr1reHbbWV6bv4GvbV8q0qr9kzzyvE6NHFAriYOyNGYPtnq0cndoiNzSByCBgAA7Ug4bGr1jnJ9uqZIby3fouWFe1YU6pLu1BVH99XF43opvYUCxqayTZpTOEdzNs3Rom2LZCryGuGyunT5kMs1bcg0uWyuhD834A/pX3ctVNnOKo04Ml991u2WGQgr5ydD5OrfMsvatoWgUb1mt4qeWiHDbVO3347T+hW79L+/fy2b3aJL7hovT5azyff6rvg7/eyDn6moqkguq0u3jrlVUwZOaXMv7TXBkD5ctUP/WbpZn60tks9fd6WtvAynjuidrVG9O2lEzywd3i1DLnvLjdjhwBE0AABow4or/Vq1tUyrtpZpycbdmv99sYor/fHPrRZDR/fP0dkju+sHQ/NbZIpUUVWRXl79sv63/n9aX7q+zmej80brjEPO0Il9Tmyx6Ti7tlRo/uvfq+CrImVlOXRcjkuhoio5eqYr9+fDW+xFuS0EDTNsatu9CxUq9Sv74kFyD83Ra/ct0bbvSzVwXJ5OmDq4Wd//9srt+r/P/k/zt86XJE3qMUm/O/J3yvfkt9S3cFD8wbC+3LBb89bs1Ofrdmnl5lIF99pd3G41NLhrhkb0zNLwnlka0TNLfTp7mG7VBhA0AABIMtM0tbO8Rut2Vmrtzgqt21GhtdE/selQtbntVh3Rp5OOH9RFpw/vphxv03+r3Zyalu1cphe/fVGzN8xWMBzZzdlm2DQ6b7Qm9Zik43odpx7pTWtKbq5gIKSt60q1/MNN2hDdqM5iSKf3y5BRVCVrhkO5Px8hWzN+o99cbSFoSFLpewUq/3iTXId2Us60Idq6rlSv3felJOnQI/N17CWDZG3GjuhhM6znvnlODy55UIFwQFbDquN6HaeLBl2kI/KOaHMjHLVV+UNaXliiLzfs1tKNu7V0Y4l21QreMRkum4b1yNKwHpka1iNLQ7pnqHsWU65aG0EDAIBWYJqmdvsC2lTs04Zin9bvrNT6ogqtL6rU9zsrVV4T3O+1vTun6bD8DA3pnqEjD+msYT2y5GjGi2VzbKnYore/f1tvrXtLBWUF8eMjckfo/EPP1+SekxPe4C1FfnO/YcUubVixS9sLyrRrc4XCoegriiH1G56joTJlFpTJcNnU5WfDZM9v2Rf/thI0AkVV2j5zsWRIOVcMlbNfplZ9vlVznv9OZthU90M76Qc/HSJnWvOmy63evVr3LLxHi7Ytih87JPMQHdX9KB3Z9UiN6jJKXoc30d9OQpmmqcLdVVqycbeWbyrV8sISrdhcqprgvksAZ7rtGtw1Q4d1zVD/Ll71y/Wofxevsj0OAkgLIWgAANBEpmkqGDblD4YVCIVVFQipyh9SVSAknz+kUl9AZdUBlVYFVFRRox1lNdpRXqPtZdUq3F2ligbChMWQemWn6ZBcr/p38ap/rlf9ung0MC+9xfotKgOV2lC2Qat2rdKKXSu0smilVhWvin/utrl1cp+TddGgizS48+AWqcFfHdS3X2zVVx8VqnRnVZ3P0tLtGjSwk/p1ccncVK5AYYVkM5R7+VA5D8lskXpqaytBQ5J2/H25/Osj+0zYctzyjMlTsd2q919aI39NSJ3y09R3eI5cHodcXpvc6Q55O7nk7eSUM83W4Iv06t2r9eK3L+qd799RVXDP/w6shlX9svppQKcBGthpoPpn9VcPbw919XZtM0vk1icQCuu7beX6qrBUXxWWaHlhqdZsL99nylWM12lT9yy3undyq2umSzlep3K8DmV7nMp02+V12eR1Rv647Ba57FY5bRbCSRMQNAAA7dY/73pNpinF/h9Z/O+mqbAkmZIpU7X/P93e7xqm4ifu83dzz5f73OdA2SyGHDZL5I/VKqfNkMNmlcNmUSJfWyL1mjJlKmyGFQwHFQwHFAgHVROqli9YrWB43yknkpTtylZXT1flpeXJaknQbtvRn51pmgr4Q6quCKi6IiBfmV/hoCkZkt1uUV53r9LtFjkCIZm7a2TWbgS2Gsq+8FClDc1NTE2NaEtBI1RWo9L3N6jqq50y/bV+W2+RKkNSeTCsmrDkN00FTClU679Vi9WQ02uX22uXy2OPLItrSIYko1YfQzAc0K6qXdpVXazd1cXyBX37rcdhdcphcchmscX/WA2rrIZVFsMii2GRYVhkkRF/Ia/9P1ubKakmEFZ1MKSaQEg1wbBqor8wOFCGYcgiyTCif2p9r5bYzzfyQWSH7Og50b/GfxTxn4hR+6dj7Pt57WfvKSL+9/3ep757xA7U83/TzP18tff//bv4trPqqWyvxxA0AADtVeGvP0l2CWhhhssm14AsOQdkyTUwu0V7MvbWloJGTLgmqKrlRapcsl2BLRV1QwfQinrcM7HRcxL0awoAAFrfOkvFfj8z9vtFQ79Trf+T+mZItP1JE0atug1ZDEMWRaZ7WAyrbIZVVotVRmt9J7V+hWu1GrI5rbI7rXK4rJHfsFsilRhOq2yd3bLl7PljsHpQnMVpk2dsvjxj82WapkJlfgV3+BQsrlbYF1DYF1TYF5QZDEumKTNsKugPK1ATiv8JRfsXTFP7/pq6CcIyFQ6HFDLDMhVW2DRlmuHIKFp85M+ML30c+7qjMPf6wtzrk70/r/e65j6n0Q/qP/tgfuqN/atryjIQjGgAAADUoy2OaADtScssWQEAAAAgpRE0AAAAACQcQQMAAABAwhE0AAAAACQcQQMAAABAwhE0AAAAACQcQQMAAABAwhE0AAAAACQcQQMAAABAwhE0AAAAACQcQQMAAABAwhE0AAAAACQcQQMAAABAwhmmaZrJLgIAAKCtMU1TPp9PkpSWlibDMJJcEdC+EDQAAAAAJBxTpwAAAAAkHEEDAAAAQMIRNAAAAAAkHEEDAAAAQMIRNAAAAAAkHEEDAAAAQMIRNAAAAAAkHEEDAAAAQMIRNAAAAAAkHEEDAAAAQMIRNAAAAAAkHEEDAAAAQMIRNAAAAAAkHEEDAAAAQMIRNAAAAAAkHEEDAAAAQMIRNAAAAAAkHEEDAAAAQMIRNAAAAAAkHEEDAAAAQMLZkl0AAAAHwjRNlZeXJ7sMAEhZ6enpMgxjv58TNAAA7VJ5ebkyMzOTXQYApKzS0lJlZGTs93PDNE2zFesBACAhGNHYo6ysTD179tSmTZsa/H/6aD5+ti2Ln2/LaY2fLSMaAIAOyTAMXkz2kpGRwc+khfCzbVn8fFtOMn+2NIMDAAAASDiCBgAAAICEI2gAANDOOZ1O3XHHHXI6nckupcPhZ9uy+Pm2nLbws6UZHAAAAEDCMaIBAAAAIOEIGgAAAAASjqABAAAAIOEIGgAAAAASjqABAEA799prr+mkk05S586dZRiGli1bluySOoxHH31Uffr0kcvl0rhx47Rw4cJkl9QhzJs3T2eccYa6desmwzD0+uuvJ7ukDuGPf/yjxowZo/T0dHXp0kVnnXWWvvvuu6TVQ9AAAKCdq6ys1NFHH61777032aV0KC+99JJuvvlm3XHHHVqyZImGDx+uk08+WTt27Eh2ae1eZWWlhg8frkcffTTZpXQoc+fO1TXXXKP58+dr9uzZCgQCOumkk1RZWZmUeljeFgCADqKgoEB9+/bV0qVLNWLEiGSX0+6NGzdOY8aM0SOPPCJJCofD6tmzp6677jr9+te/TnJ1HYdhGPrPf/6js846K9mldDg7d+5Uly5dNHfuXE2aNKnVn8+IBgAAwF78fr++/PJLnXDCCfFjFotFJ5xwgr744oskVgY0XWlpqSQpOzs7Kc8naAAAAOylqKhIoVBIeXl5dY7n5eVp27ZtSaoKaLpwOKwbb7xRRx11lIYMGZKUGggaAAC0I88//7y8Xm/8zyeffJLskgC0Qddcc41WrFihf/3rX0mrwZa0JwMAgGY788wzNW7cuPjX3bt3T2I1HVdOTo6sVqu2b99e5/j27duVn5+fpKqAprn22mv19ttva968eerRo0fS6mBEAwCAdiQ9PV39+/eP/3G73ckuqUNyOBwaPXq0Pvzww/ixcDisDz/8UOPHj09iZcD+maapa6+9Vv/5z3/00UcfqW/fvkmthxENAADaueLiYm3cuFFbtmyRpPi6+fn5+fz2/SDcfPPNuuyyy3TEEUdo7NixevDBB1VZWalp06Ylu7R2r6KiQmvXro1/vX79ei1btkzZ2dnq1atXEitr36655hq98MILeuONN5Senh7vJ8rMzEzKLyVY3hYAgHbu6aefrvfl94477tD06dNbv6AO5JFHHtF9992nbdu2acSIEfrLX/5SZ+oaDsycOXN07LHH7nP8sssu09NPP936BXUQhmHUe3zWrFmaOnVq6xYjggYAAACAFkCPBgAAAICEI2gAAAAASDiCBgAAAICEI2gAAAAASDiCBgAAAICEI2gAAAAASDiCBgAAAICEI2gAAAAchMmTJ+vGG2+Mf92nTx89+OCDSasHaCsIGgAAAAm0aNEiXXXVVQm9Z0FBga644gr17dtXbrdb/fr10x133CG/35/Q5wCJZEt2AQAAAB1Jbm5uwu/57bffKhwO6+9//7v69++vFStW6Morr1RlZaVmzpyZ8OcBicCIBgAAQBNVVlbq0ksvldfrVdeuXfXnP/95n3P2njplGIb+/ve/6/TTT1daWpoOO+wwffHFF1q7dq0mT54sj8ejCRMmaN26dft97imnnKJZs2bppJNO0iGHHKIzzzxTv/jFL/Taa6+1xLcJJARBAwAAoIluvfVWzZ07V2+88Ybef/99zZkzR0uWLGn0urvuukuXXnqpli1bpkGDBuniiy/WT3/6U/3mN7/R4sWLZZqmrr322mbVUlpaquzs7AP9VoAWx9QpAACAJqioqNBTTz2l5557Tscff7wk6ZlnnlGPHj0avXbatGk6//zzJUm/+tWvNH78eP3ud7/TySefLEm64YYbNG3atCbXsnbtWj388MNMm0KbxogGAABAE6xbt05+v1/jxo2LH8vOztahhx7a6LXDhg2L/z0vL0+SNHTo0DrHqqurVVZW1ui9Nm/erFNOOUVTpkzRlVde2ZxvAWhVBA0AAIAWZrfb4383DGO/x8LhcIP32bJli4499lhNmDBBjz/+eAtUCiQOQQMAAKAJ+vXrJ7vdrgULFsSP7d69W6tXr26V52/evFmTJ0/W6NGjNWvWLFksvMahbaNHAwAAoAm8Xq+uuOIK3XrrrercubO6dOmi2267rVVe+GMho3fv3po5c6Z27twZ/yw/P7/Fnw8cCIIGAABAE913332qqKjQGWecofT0dN1yyy0qLS1t8efOnj1ba9eu1dq1a/dpPjdNs8WfDxwIw+S/TgAAAAAJxuQ+AAAAAAlH0AAAAACQcAQNAAAAAAlH0AAAAACQcAQNAAAAAAlH0AAAAACQcAQNAAAAAAlH0AAAAACQcAQNAAAAAAlH0AAAAACQcAQNAAAAAAlH0AAAAACQcP8PiL+zTlpCo/YAAAAASUVORK5CYII=",
"text/plain": [
""
]
@@ -744,13 +770,13 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "c6f02b27bd2049cd92e81f12653a294c",
+ "model_id": "9a80bd91a32d4f7d83a1e868afde90d4",
"version_major": 2,
"version_minor": 0
},
@@ -764,7 +790,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "4d29ee21beb747c1acd180b786376a54",
+ "model_id": "b089a65e13534c2d85012dde82280611",
"version_major": 2,
"version_minor": 0
},
@@ -778,7 +804,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "73f38c8f8e074282bac41e46d61340a9",
+ "model_id": "91f86e22fdf84fad94ddd65b0fd00d17",
"version_major": 2,
"version_minor": 0
},
@@ -792,7 +818,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "904285d6dee54afda03a537758f41a51",
+ "model_id": "1652fd61f9b84cb49de08acc6c48f3ff",
"version_major": 2,
"version_minor": 0
},
@@ -803,9 +829,16 @@
"metadata": {},
"output_type": "display_data"
},
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "WARNING:root:upper is deprecated, use offdiag instead.\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -815,7 +848,8 @@
}
],
"source": [
- "# We can easily obtain posteriors for many different x_os, instantly, because NPE is fully amortized:\n",
+ "# We can easily obtain posteriors for many different x_os, instantly, because\n",
+ "# NPE is fully amortized:\n",
"num_trials = [2, 4, 6, 8, 12, 14, 18]\n",
"npe_samples = []\n",
"for xo in xos:\n",
@@ -870,7 +904,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.17"
+ "version": "3.8.18"
},
"toc": {
"base_numbering": 1,
diff --git a/tutorials/15_mcmc_diagnostics_with_arviz.ipynb b/tutorials/15_mcmc_diagnostics_with_arviz.ipynb
index 03053cab8..ab3a11379 100644
--- a/tutorials/15_mcmc_diagnostics_with_arviz.ipynb
+++ b/tutorials/15_mcmc_diagnostics_with_arviz.ipynb
@@ -6,18 +6,18 @@
"source": [
"# MCMC diagnostics with [Arviz](https://python.arviz.org/)\n",
"\n",
- "This tutorial shows how to evaluate the quality of MCMC samples generated via `sbi` using the `arviz` package. \n",
+ "This tutorial shows how to evaluate the quality of MCMC samples generated via `sbi` using the `arviz` package.\n",
"\n",
"Outline:\n",
"\n",
- "1) Train MNLE to approximate the likelihood underlying the simulator \n",
- "2) Run MCMC using `pyro` MCMC samplers via `sbi` interface \n",
- "3) Use `arviz` to visualize the posterior, predictive distributions and MCMC diagnostics. "
+ "1. Train MNLE to approximate the likelihood underlying the simulator\n",
+ "2. Run MCMC using `pyro` MCMC samplers via `sbi` interface\n",
+ "3. Use `arviz` to visualize the posterior, predictive distributions and MCMC diagnostics.\n"
]
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -35,7 +35,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -65,23 +65,23 @@
"source": [
"## Train MNLE to approximate the likelihood\n",
"\n",
- "For this tutorial, we will use a simple simulator with two parameters. For details see the [example on the decision making model](https://sbi-dev.github.io/sbi/examples/01_decision_making_model/). \n",
+ "For this tutorial, we will use a simple simulator with two parameters. For details see the [example on the decision making model](https://sbi-dev.github.io/sbi/examples/01_decision_making_model/).\n",
"\n",
- "Here, we pass `mcmc_method=\"nuts\"` in order to use the underlying [`pyro` No-U-turn sampler](https://docs.pyro.ai/en/1.8.1/mcmc.html#nuts), but it would work as well with other samplers (e.g. \"slice_np_vectorized\", \"hmc\"). \n",
+ "Here, we pass `mcmc_method=\"nuts\"` in order to use the underlying [`pyro` No-U-turn sampler](https://docs.pyro.ai/en/1.8.1/mcmc.html#nuts), but it would work as well with other samplers (e.g. \"slice_np_vectorized\", \"hmc\").\n",
"\n",
- "Additionally, when calling `posterior.sample(...)` we pass `return_arviz=True` so that the [`Arviz InferenceData`](https://arviz-devs.github.io/arviz/api/generated/arviz.InferenceData.html#arviz.InferenceData) object is returned. This object gives us access to the wealth of MCMC diagnostics tool provided by `arviz`."
+ "Additionally, when calling `posterior.sample(...)` we pass `return_arviz=True` so that the [`Arviz InferenceData`](https://arviz-devs.github.io/arviz/api/generated/arviz.InferenceData.html#arviz.InferenceData) object is returned. This object gives us access to the wealth of MCMC diagnostics tool provided by `arviz`.\n"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/janbolts/qode/sbi/sbi/neural_nets/mnle.py:60: UserWarning: The mixed neural likelihood estimator assumes that x contains\n",
+ "/Users/janteusen/qode/sbi/sbi/neural_nets/mnle.py:60: UserWarning: The mixed neural likelihood estimator assumes that x contains\n",
" continuous data in the first n-1 columns (e.g., reaction times) and\n",
" categorical data in the last column (e.g., corresponding choices). If\n",
" this is not the case for the passed `x` do not use this function.\n",
@@ -110,23 +110,31 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Run Pyro NUTS MCMC and obtain `arviz InferenceData` object"
+ "## Run Pyro NUTS MCMC and obtain `arviz InferenceData` object\n"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/janbolts/qode/sbi/sbi/utils/sbiutils.py:280: UserWarning: An x with a batch size of 100 was passed. It will be interpreted as a batch of independent and identically\n",
+ "/Users/janteusen/qode/sbi/sbi/utils/sbiutils.py:341: UserWarning: An x with a batch size of 100 was passed. It will be interpreted as a batch of independent and identically\n",
" distributed data X={x_1, ..., x_n}, i.e., data generated based on the\n",
" same underlying (unknown) parameter. The resulting posterior will be with\n",
" respect to entire batch, i.e,. p(theta | X).\n",
- " warnings.warn(\n"
+ " warnings.warn(\n",
+ "/Users/janteusen/miniconda3/envs/sbi/lib/python3.8/site-packages/torch/__init__.py:690: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/torch/csrc/tensor/python_tensor.cpp:453.)\n",
+ " _C._set_default_tensor_type(t)\n",
+ "/Users/janteusen/miniconda3/envs/sbi/lib/python3.8/site-packages/torch/__init__.py:690: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/torch/csrc/tensor/python_tensor.cpp:453.)\n",
+ " _C._set_default_tensor_type(t)\n",
+ "/Users/janteusen/miniconda3/envs/sbi/lib/python3.8/site-packages/torch/__init__.py:690: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/torch/csrc/tensor/python_tensor.cpp:453.)\n",
+ " _C._set_default_tensor_type(t)\n",
+ "/Users/janteusen/miniconda3/envs/sbi/lib/python3.8/site-packages/torch/__init__.py:690: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/torch/csrc/tensor/python_tensor.cpp:453.)\n",
+ " _C._set_default_tensor_type(t)\n"
]
}
],
@@ -170,16 +178,16 @@
"\n",
"The resulting `InferenceData` object can be passed to most `arviz` plotting functions, and there are plenty see [here](https://arviz-devs.github.io/arviz/examples/index.html#) for an overview.\n",
"\n",
- "To get a better understanding of the `InferenceData` object see [here](https://arviz-devs.github.io/arviz/schema/schema.html). \n",
+ "To get a better understanding of the `InferenceData` object see [here](https://arviz-devs.github.io/arviz/schema/schema.html).\n",
"\n",
- "Below and overview of common MCMC diagnostics plot, see the corresponding `arviz` documentation for interpretation of the plots. \n",
+ "Below and overview of common MCMC diagnostics plot, see the corresponding `arviz` documentation for interpretation of the plots.\n",
"\n",
- "We will a full use-case using the SBI-MCMC-arviz workflow soon."
+ "We will a full use-case using the SBI-MCMC-arviz workflow soon.\n"
]
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
@@ -193,10 +201,10 @@
" * draw (draw) int64 0 1 2 3 4 5 6 ... 1248 1249 1250 1251 1252 1253\n",
" * theta_dim_0 (theta_dim_0) int64 0 1\n",
"Data variables:\n",
- " theta (chain, draw, theta_dim_0) float32 2.125 0.8092 ... 0.8088\n",
+ " theta (chain, draw, theta_dim_0) float32 2.195 0.8838 ... 2.593 0.806\n",
"Attributes:\n",
- " created_at: 2022-08-10T14:02:41.300799\n",
- " arviz_version: 0.11.2\n"
+ " created_at: 2024-03-06T13:33:00.426835\n",
+ " arviz_version: 0.15.1\n"
]
}
],
@@ -208,29 +216,29 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Diagnostic plots"
+ "### Diagnostic plots\n"
]
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "array([,\n",
- " ],\n",
+ "array([,\n",
+ " ],\n",
" dtype=object)"
]
},
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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"text/plain": [
""
]
@@ -246,12 +254,12 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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"text/plain": [
""
]
@@ -266,12 +274,12 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -286,12 +294,12 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -308,28 +316,28 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Posterior density plots"
+ "### Posterior density plots\n"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "array([,\n",
- " ], dtype=object)"
+ "array([,\n",
+ " ], dtype=object)"
]
},
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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",
+ "image/png": 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nlYgOp0Z/ex5QenpEy+Mier4U0aQxLFsGN94U6PlKIARzlSQpsWwGSVKSys0N3HN/4LEnA3l5cPhh0OuliFPaRGRmbtmVZxXKR1x4fhrPPBmxw/Ywdx5ce0OgRy/DiyRJkqTUt2xZ4OrrAkO+gNKl4eZ/Rdx0YxqVNvFCO4h3Z3jkoYjWJ8fNpGefDzz5tJlKkpRYNoMkKQnl5ARuuCnwwYfxKp7LL42449ZoswLK32nYIOLF5yNOOiEOL8+9EHj08UB+vuFFkiRJUmrKyQlc/6/Aj6PibeEeeSji2KO3LGOlp0dcfUUal18av3+f1+HRx20ISZISx2aQJCWZVasCt9we+OpryMqC++6OaHdKRBQV7D7UmZkR116dxpWXx4/b9y24/8FAXp7hRZIkSVJqyc0N3HpHYMRIKFsWHn4wonGjrc9Y7U6JuPbqiCiKM9UDD3uRnSQpMWwGSVISyc0N3P7vwLDhkJERN4L2b164h5Ge0jriphsj0tLgvQ/gzntsCEmSJElKHSEEHvpPYOgwyCgN998T0bBBweWsk06IuPG6uCH0bn+4934zlSSp6NkMkqQkEULg/gcDnw+J966++98R++xduI2gNY47JuK2WyJKlYIBA+HxJ93eQJIkSVJqeOHFQP/34y24b7ulYFYE/a+Wx0X8300RpdLgg4/gvgdcISRJKlo2gyQpSfR5PQ4NpdLg37dFNG9WNI2gNY44LOKWm/7aMq7P60X64SVJkiSpwL3ZL/Byz3h89ZURhxxceDnr6KMibr3lr4bQw494kZ0kqejYDJKkJDDyx8DTz8Yh4dJLIg46sGgbQWsceUTExRfGH/vJpwMDPzW4SJIkSUpOg78IPPJYnGnO6RJx0gmFn7OOOCzipn/FW8a9/S489kThNYRWrgz8Ojnw07jAb1Pcmk6SSrr0RBcgSfp7ixYH7rgrkJ8Pxx4Dp7RObD2ntYfZs+GNN+HuewM7bA+77JKY5pQkSZIkbYlffw3ceVcgBDj5JDjrzKL72EcfFbFqFdxzX+CNN2HFisDVV0J6+tbnqj9mBz74EL76OjB+POTl//W2smXhsEMDnTpG1K5thpOkksaVQZJUjIUQePDhwOzZUKc2XHV5RBQldtIeRRGXXBRxQHNYuQpuvjWwZIlXmEmSJElKDosWBW64ObB8BeyzN1xxadHnrOOPi7jumoi0NOj/Plx3Y2Dp0i3PVdOmBf59Vz7tTgt06x4Y+1PcCCpbFmpUhzJZsHQpvP8BdDwr0LuPZxZJUkljM0iSirGPPoFBn0GpUnDLzRHZ2cXj6q1SpSJu/ldEjeowfQbcfZ97XUuSJEkq/vLyArf9OzBjBtSsAXfcGhXIipwtcWKriHvujMjKgm++hYsuDUyZsnm5ataswL3359OxU+DjAZCfD3s1gRuui+jbJ+Kj9yL6vpbGR+9HPPlYRNP9IDcXnnomcMvtgdxcc5wklRQ2gySpmJo9O/DwI/HEvOvZEQ0bFI9G0BoVKkTccVtEejoM+QJe75voiiRJkiTp7z37QuCbbyEzE+6+M6JixcTmrAMPiHji0Ygq28CkX+HscwPdX/77VUIhBMaND9x9Xz6nnRF474N4FdD+zeGFZyMefySNVi0jatT4a8VTqVIRjRtFPHR/xLVXR5QuDZ8Phv+7zbOEJKmk8MwgSSqmHn8qsHw57LE7dOyQ6Go2rGGDiEsvgv88Fnj62cDeTTw/SJIkSVLxNPDTQO9X4/G/ro/YZefikV12qx/R7bl4x4VvvoVu3QOvvAr77hM4YP+Ihg3i5tWsWfDTOBg8JDBh4l/vv+8+cE6XiD12/+fPJ4oiTjoBqlWDm24OfDEUXnwpcG7X4vG1kCQVHptBklQMffNt4LPPIS0Nrr4yolSp4jsxb9MavvsevhgGd9wVeOFZyMwsvvVKkiRJKnl+nxa474F4BUzHDnDkEcUrs1StGvHQ/fE24d1fDvw2BYYOg6HDNrxqJ6M0HH4YnHxSxJ57bP7nsn+ziBuuhzvuDLzcExo3CjTdr3h9TSRJBctmkCQVMytXBh5+NJ7wn9KaYnO12sZEUcR118CYnwKTf4PnXghcenHxrlmSJElSybFqVeD2fweWr4AmjeG8c4pnXomiiCOPgCMOh18mwfAv4cuvAtOmw4oVUG1bqFcP9moSceThbPUWd0cfFTFqVODtd+G+BwM9u1NszqmVJBU8m0GSVMz0eR2mTYMq28RnBSWDypUjbrgWrv9X4LU3YP/mgX33SY7aJUmSJKW2518MjP8ZypeHW24q3jsvQNwU2mVn2GVnOOvMwq314gsjvv4mMHMWPN8tcPmlxftrI0nacmmJLkCS9Jc5cwIv94xXBV18YUS5cskzET/wgIgTT4jH99wfWLbMQ0glSZIkJda33/11TtAN10VUq5Y8GasolCkTcc1V8dfkzX7w66/mOElKVTaDJKkYealHICcH9tgdWhyV6Go23yUXRtSsAX/8EW8XJ0mSJEmJsmBB4M574lxy0glw6ME2gjakWdOIQw+B/Hx48hlznCSlKptBklRM/D4t0P+9eHzh+RFRlHxBJTs74rpr/rqqbNRog4QkSZKkohdC4N4HAnPnwg7b47mm/+DC8yLS0+Hrb+Cbb81xkpSKbAZJUjHxQrdAXj7s3xwaN0reoLLfvhEtj4MQ4L4HAjk5BglJkiRJReujT2DoMChdGm67JSIrK3kzVlGoUyeizcnx+IUXAyGY4yQp1dgMkqRi4OcJgU8/gyiC889N/pByyUURVbaBKVOhRy9DhCRJkqSiM39B4Ikn4xzSpXPELjsnf8YqCmecHpGZCT+Ng6++SXQ1kqSCZjNIkoqBZ5+Pg0qLI2HneskfVCqUj7jy8vjz6N0Hpk61ISRJkiSpaDzxVGDhIqhXDzqcmuhqksc22/y1Oqj7S64OkqRUYzNIkhJs/PjAN99CqTTo2iX5G0FrHHoING8Gq1bBw48aJCRJkiQVvm+/C3z8SbzrwvXXRKSnp07GKgqnnxaRUTpeHTT2p0RXI0kqSDaDJCnBevWOmyRHHQW1a6VOUImiiCsvi4PEd9/DoM8TXZEkSZKkVJaTE3jg4ThfndIGGjZInXxVVCpXjjjqqHj8xpte0CdJqcRmkCQl0JQpgcFfxOOOHVIvqNSuHXFGx/jzevzJwLJlhglJkiRJhaPvWzBjBmxbFc7rmnr5qqi0axN/7T4fDH/+aYaTpFRhM0iSEuiVPoEQ4KADoe5OqRlWOnaA2rVgzhzo9pJBQpIkSVLBW7Ag0KNXnDfOOzciOzs181VR2GWXiCaNIS8P+r1jhpOkVGEzSJIS5I/Z8V7WAGecnrpBJTMz4orL48+vb1+Y9KthQpIkSVLBeqlnYOlS2GVnOKZFoqtJfm1Xrw56t3+8/Z4kKfnZDJKkBHnt9UBeHuzVBPbYPXWbQQD7N4s49BDIy4eH/hMIwTAhSZIkqWD8Pi3Q7+14fPGFEWlpqZ2visJBB0L16rBgIQwclOhqJEkFwWaQJCXA0qWB/u/H41Q8K2hDLrskokwWjBoNH32c6GokSZIkpYpnn4svtNu/Oey7T8nIV4UtPT2izcnx1/LNt7yYT5JSgc0gSUqADz6C5cthxx2gWdNEV1M0qleL6HxWHCaefCawaLGBQpIkSdLWGf9z4PMhkJYGF55vI6ggtWoJpUvDhInx11mSlNxsBklSEcvPD2uvrDqlTUQUlZzA0r4t7LgjLFgAz3czTEiSJEnaOi92j3NFi6Og7k4lJ1sVhYoV4+2+Afq/Z36TpGRnM0iSitjX38C06VCubMk72LR06YirLo8D2tvvwPjxBgpJkiRJW2bsT4HhX0GpNOjcyUZQYTixVfx1/WQgLFtmfpOkZGYzSJKK2BtvxhPo44+H7OySF1j23ivi6KMgBHjokUBenoFCkiRJ0ubrtnpV0DHHwHZ1Sl62Kgp7NYE6deJtzgd9luhqJElbw2aQJBWhqVMD33wLUcTawzhLoosvjChbFsaNhzf75SS6HEmSJElJZtToOFuVKgVnnVlys1Vhi6Jo7eqgd90qTpKSms0gSSpCb70dT54P2B9q1yq5gaVKlYhzusSf/yOPLWPhQkOFJEmSpE23ZlVQy+NKdrYqCscdA+np8NM4+GWS2U2SkpXNIEkqIjk5gY8+iccleVXQGq1Pgnr1YOHCwLMvGCgkSZIkbZqfxgW+/2H1qqAzzFaFrXLliIMPisf9XR0kSUnLZpAkFZHBQ2DJEqhRHfbbN9HVJF56esRVl8fBrf97caCTJEmSpH/Sq/fqs4JaQI0aNoOKwgnHx1/njwfEFzpKkpKPzSBJKiL9348nzMe3jEhLM7AANG4UceIJmYQADz8SyMszVEiSJEnauN+mBIZ8EZ/DenoHc1VR2XcfqF49vsBx8BeJrkaStCVsBklSEZg2LTBiZBxYjjs20dUUL1dfmU3ZsjD+Z+j/fqKrkSRJklSc9X41voDs4INgxx1sBhWVtLSIlquz7PsfeBGfJCUjm0GSVATe/zCeLDfdD2pUN7D8t6pV0ji3a/w1efb5wIIFBgtJkiRJ65v1R+DjAfH4jNPNVUXt+OMiogi+/wGmzzC3SVKysRkkSYUsNzfwwUfxeM0+y1rXySfCzvVg8eK4ISRJkiRJ/+u11wN5ebDP3tCwgdmqqNWoEa09//aDD81tkpRsbAZJUiH76huYOxcqVYIDD0h0NcVTenrEVVfEYa7/+zBmrMFCkiRJ0l8WLw68t3pb6Y6eFZQwx7eMv/YffoRnvkpSkrEZJEmF7L334wnysUdD6dKGlo1ptGfEccfE4wceDuTmGiwkSZIkxd7/EJavgJ12ZO3qFBW9gw+EihVg9p/wzXeJrkaStDlsBklSIZozN/Dll/G4lVvE/aOLLoyoWAEmTYLefRJdjSRJkqTiIDc30PfN+GKx9m0joshslSgZGRFHt4jH77/vBXySlExsBklSIfrwI8jLhz33gB13MLD8k8qVIi69JP46vfRyYOpUw4UkSZJU0g0bDrP+iFekrGlEKHHWXOg4dDjMn29mk6RkYTNIkgpJCIH3P4gnxq4K2nTHtICm+8HKVXDvA4H8fMOFJEmSVJK93jfOBCedCJmZZqtEq1c3osFukJsLH32S6GokSZvKZpAkFZKRP8K06VCmDBx+aKKrSR5RFHHd1RFlsmDUaHinf6IrkiRJkpQo438O/DgKSpWCNifbCCoujm8ZPxfvfxAIwQv4JCkZ2AySpELy3ur9k486ErKzDS2bo0aNiPPOjb9mTz8bmD3bcCFJkiSVRG+sPivoiMOhalVzVXFx1BGQlQW/TYkv4pMkFX82gySpECxeHPhscDxu1dLAsiXanAx77A7LlsGD//FqM0mSJKmkmTs38OmgeNzuFHNVcVKuXMRRR8Tjt981q0lSMrAZJEmFYMCnsHIl1N0JGjZIdDXJqVSpiOuvjShdGoZ/ydoQKEmSJKlkePvdQG4u7LkHNGxgM6i4Ofmk+Dn5fDDMm5ef4GokSf8kPdEFSFIqWrNFXKvjI6LI0PK/Zs6cyRdffMHw4cP55ZdfmD9/PuXKlaNBgwa0adOGQw45BICddozodAZ06x545PHAvvtApUrrfz1/++03hgwZwldffcWkSZNYsmQJFStWZM8996RDhw40adKkiD9DSZIkSVsjJyfQ75143K6tmao4+fXXX3nhhRf44YcfyMtZRm5OHf51UxvuurMNaWmbd935ypUr6dOnDwMHDuT3338nNzeXqlWrst9++3HWWWdRu3btf3yMDz/8kNtvvx2A8847jy5dumzR5yVJqc5mkCQVsJ8nBCZMhNKl4ZgWia6meLr11lsZNWoUGRkZNGnShAoVKjBjxgy++uorvvrqK0477TSuuOIKAM44HT77HH6dDP95NHD7resHwUsvvZQ///yT7Oxsdt99dypUqMBvv/3G4MGDGTJkCJdffjmnnXZa0X6SkiRJkrbYwEGwYAFUqwaHHJToarTG6NGjueSSS8jJyaFhw4bUqlWTn34ayWeDHuTmm3/grrvu2uQLInNycrj44osZM2YM5cuXZ6+99iIjI4Off/6Zd999l4EDB/LUU0+x2267bfQxFixYwKOPPkoURW4tLkn/wGaQJBWw9z6IJ6CHHAQVK3oF24ZUq1aNq6++mpYtW1KnTh3mz58PwLBhw7juuuvo06cP+++/P82aNaN06Yh/XQ/nXxT49DM46KBAiyPX/brusMMOXHTRRRxxxBFkZmauvb1fv37cd999PP744zRr1oyddtqpSD9PSZIkSZsvhMDrfeNc1bZNRHq6uao4yM3N5dZbbyUnJ4fLL7+cDh06sHx54ORTlrJw/hUMGjSI999/n1atWm3S47399tuMGTOGhg0b8thjj1GuXDkA8vLy+M9//kPfvn159NFHefrppzf6GI888gjLly/n2GOP5cMPPyyQz1OSUpVnBklSAcrJCQwYEI9bHW9g2Zg777yTdu3aUbZs2XVuP/DAAznhhBMA+OSTT9bevttuEWd1ir+eD/0n8Oef617x9cQTT3Dcccet0wgCaN26Nc2aNSMvL49PP/20MD4VSZIkSQVsxEiYNAmysqDV8YmuRmt8/vnnzJgxg1122YUOHToAUKZMxHHHZVOq9NUAvPrqq5v8eCNHjgSgQ4cOaxtBAKVKleK8884D4Kefftro+3/99dd89NFHdO7cmVq1am3upyNJJY4rgySpAMyYMYM2bdqw4457sXjJg5TJeI5/3/EZCxcuZIcdduDcc8/l4IMPBuDTTz/llVde4ddff6VMmTIcddRRXHzxxWRlZa3zmCtWrOC1117j008/5ffffwegbt26tGnThuOPXz8RjRw5koEDBzJixAhmz57NypUrqVGjBocccgidOnWifPny69z/+++/5+KLL6Zly5ZcfvnlPPPMMwwZMoRFixax3Xbb0aFDh7WNmaK08847AzBnzpx1bu90Bgz/Esb/DPfcH3jofjZp+4Gdd96Zr7/+er3HkyRJklQ89Xk9vvjr2GOgQvnCu8huTY7ba6+9ePjhh3n22WcZNGiQOW4jhg8fDsDhhx++zu0nnxjR9836ENVi0qRJzJgxY5OaM6VLl/7H+1SsWHGDt69YsYL777+fHXfckTPOOIOXXnrpnz8BSSrhXBkkSQXozzmryFt5GXm5n7DHHnuw++6788svv3DDDTfwzTff8Oqrr3LLLbeQnZ1Ns2bNyM/P54033uDuu+9e53HmzZvHOeecw9NPP83cuXPZa6+9aNKkCVOmTOHf//43Dz744Hof+/HHH6d///5kZmay7777su+++7J06VJ69uzJ+eefz7JlyzZY85IlSzj33HMZOnQoTZo0oVGjRkyZMoW77rqLd955p1C+Tn9nxowZAFSpUmWd29PTI/7vXxEZGfDNt/B63617PEmSJEnFz+Tf8hj+ZTxu37ZodlvIzc3lkksu4eOPPzbH/Y2JEycCrHeGz447RBx0YGmiqD4Av/zyyyY9XrNmzYB4NdGSJUvW3p6Xl8dzzz0HsNHG1vPPP8/06dO5/vrrN6mpJElyZZAkFailS8YQpe3DSy+/yQ7bZwPw3nvvceedd3L//fezaNEiXnjhBRo0aADAn3/+SadOnfjkk084//zzqV27NhBvo/bLL79w6qmncvHFF5ORkQHA3Llzueaaa+jbty8HHngg+++//9qP3bVrVxo1arTO8vqVK1fy8MMP8/bbb/Pqq6/StWvX9WoeMmQILVq04P/+7//WfpzBgwdz/fXX0717d0466aR17n/hhRcyYsSIzfq63HzzzZu0b/TixYvX7vO85gq8/7bDDhGXXAQPPxJ46pnAHrvD7g03HhCnTZvGsGHDNvp4kiRJkoqXnr2WA3DgAbD9dkXTDBo9ejT77rsvb731FmXKlAHMcbB+jvvjjz8A2Hbbbde771lnZjH482oATJkya5Me/9hjj+Wrr75iwIABtG7dmkaNGpGRkcH48eOZN28eHTt2pEuXLuu934QJE+jTpw+tWrVir7322qzPSZJKMptBklSg0th7n2vXNoIAWrZsyRNPPMG0adM4++yz1wYIiCfRxxxzDH369GHEiBHUrl2bCRMmMHz4cBo2bMjll19OWtpfizirVKnCDTfcwFlnncVbb721Tog44IAD1qsmIyODK664gv79+zNkyJANhoiyZctyzTXXrA0QAIceeij16tXb4BL//fffn5o1a27WV6VOnTqbdL/77ruP+fPns8cee3DYYYdt8D6tT4r3EP/sc7j19sCLz0OFCuuHxNzcXP7973+zcuVKjjrqqPWuXpMkSZJUvCxYEHj73RwATmtfdGewpqWlcd11161tBIE5DtbPcWtWKf3v1ngA+zcvTeXKWcybA99+t5Qzz/znxy9VqhS33XYb1atXp1evXmsv5AOoX78+++23H6VKlVrnffLy8rjnnnsoV64cl1566WZ9PpJU0tkMkqQCkJe3ehDVoH27HdZ5W1paGjVq1GDBggVrl8H/tzVXkc2dOxeID8EEOOSQQ9YJEGvUr1+f7OzsDR6kOXv2bIYOHcqUKVNYunQp+fn5QLwX85r9qv/XbrvttsF9mLfbbjsmTZrE3Llz1wkRnTp12uDjbK0ePXowcOBAKlSowO23377R84CiKOL6a2DChMD0GXD3fYF77lz//KCHH36YH3/8kdq1a3PttdcWSs2SJEmSCs7b70JODuy6KzRpXHQft2bNmmy//fbr3GaO2zxRFLHnHhGDP4dRo2DR4vCP5z0tWrSI66+/nnHjxnHllVdy+OGHk5WVxciRI3nooYe46qqruP3222nRosXa93nttdcYN24cN99880bPE5IkbZjNIEkqACNGxv9PT9+WA/Zf/+1rrjDb0HL6NW9buXIlADNnzgTgmWee4Zlnntnox8zJyVnn37179+app54iNzd3s2qvVq3aBm/Pzs5ep67C9OGHH/L0009TpkwZHn744bXBamPKlYu44za44OLA0GHwck/o/F/Zpnv37rz11ltss802PPLII4YESZIkqZhbuTLwVr8AxKuCNnZxWGHYUE4Dc9yGHnvRokWsWLFig2+vUT3e4m/lqmxeez1wbte/fw4feeQRRowYwRVXXMGpp5669vZDDjmEbbfdli5duvDYY49x+OGHk56ezsyZM3n++efZa6+9OP744wvuE5OkEsJmkCQVgE8HxaGlyjZplC698QnvpgSaEOLHaty48T82RdYYM2YMjz32GOXKlePKK69k7733pkqVKmu3DGjVqhVz5szZ4pr+W48ePfjtt982631OPPFEmjRpssG3ffbZZ9x5552kp6dz7733sscee2zSY9bfNeKqy+G+BwMvvBioVxcOPijirbfe4tlnn6VcuXI88sgjbLfddptVqyRJkqSi98lAmDcfalRP44jDQpF+7H/KROa4WPXq1Vm0aBF//vknu+yyy3r3//PPP1cXV4PX+0K7UwKVKm24zry8PAYMGADAEUccsd7bGzRoQK1atZg+fTrTp09nhx124Pvvv2f58uXMmzePiy66aJ37r2nG9e/fn2+//ZZdd92VK6+8crM+X0lKdTaDJGkrzZkT+GH1OZxVqmz946256uyQQw6hY8eOm/Q+n3/+OQAXXHDBeldIrVixYu3WBQXhyy+/3OyDR/fee+8NNoN++OGHtRP022+/fYPbL/ydE1pF/DIp8GY/uOOuwFkdB/DUUw+SlZXFQw89xK677rpZjydJkiSp6OXlBXr1jpspZ3TMIj19wytPirOSkON22WUXJk6cyPjx4zd41tHPP/8MQN26O/PbFOj9WuCi8zfcDJo/fz6rVq0C4vOPNmTN7YsXL17n9ilTpjBlypQNvs/MmTPXNoYkSeuyGSRJW+nDj2H1ls5kZm794zVt2pTnnnuOwYMHb3KIWDM53tBWAYMGDVp7lVpBePrppwvkccaPH8+1117LypUruemmmzZ4NdimuPTiiN+mBL79djhPPHEHpUuX4r777qNx4yLcZFySJEnSFvvsc5g2DSpUgPbtsliZk3zNoJKQ4w444AA++OADPvvsM7p06bLO23766SemT59OvXr1uOD8Wtzwr8Bb/aD9KYGqVddvCFWoUIHSpUuzatUqxo8fzz777LPO25cuXcrUqVMBqFGjBhCvlGrVqtUGa3v++efp1q0b55133nq1SZJi659oJ0naZPn5gffeL9gtDPbYYw+aNm3KqFGjeOCBB1i6dOl695k4cSJffvnl2n+vOez03XffXWev6cmTJ/Pkk08WaH0FYcqUKVx55ZUsXbqUm266aaMT+v91ySWXcOqppzJ27Ni1t6WnR5zadhQh9yYgsGPdO9hnn6aFVLkkSZKkgpSfH+jRK85U7dtGlM0uurOCClJJyHGHHXYYtWrVYuLEibz66qtrb1++fDl33HEHAB06dODA/WH3hrBiBfznsbDBHJeRkUHz5s0BePTRR9fZDi8nJ4f777+fFStW0KhRI6pWrVpEn6EkpTZXBknSVhj5I0yfAWXKwJICPJ/ztttu44orruDNN9/kk08+YZdddqFq1aosXbqUX375hT/++INTTz2V/fffH4ivkOrduzdDhw6lffv2NGjQgEWLFjFixAgOPfRQxo4dy6xZswquwK30f//3f8yfP5/KlSszduxYfvjhh/Xus+OOO9KpU6d1bps2bRqzZs1a78DSW2+9lhByiNJq8cvEL+hw+hfs+T9HDzVu3JiTTjqpwD8XSZIkSVtu2HD4dTKULQuntE50NVsn1XNceno6t912G5deeimPPvooAwcOpEaNGvz444/MmTOHI444guOPP54oirjmKjjn/MDgIVC+zDTmz18/x11++eWMHTuWCRMm0L59e/bcc08yMzMZN24cf/75JxUqVOD6669P0GcrSanHZpAkbYV334uvYDvwQPj4g4J73G222Ybnn3+ed955hwEDBjBhwgRGjx7NNttsQ61atWjfvj0tWrRYe/+KFSvSvXt3nnjiCUaMGMHQoUOpWbMm5513Hh07duSUU04puOIKwKJFi4B4n+h+/fpt8D577bXXes2gjVmzvULInwHM4Pep8PvU9e9nM0iSJEkqPkL4a1VQm5OhfPnkXBW0RqrnOIBGjRrRvXt3nn/+eX744Qd++eUXateuzbnnnssJJ5xAFMXP4S47R5zeIdCzFyxctOHHqlOnDj179qRnz558+eWXjBw5khAC1apVo23btnTq1GmDW+hJkrZMFDZxA9L58+cXdi1/q3LlygmvQUXL57zkSbbnfMGCQOt2gVWr4IVnI3arn9zBJVEK+nnv/17gvgfjX22XXhxxajufl+Im2X7WVTB83kueon7OK1euvNWPUZj1+jOQvHzukpPPW3L46uvANdcHMjOh72sRlStFPndJakPPW05O4OxzAlN/h1Yt4YbrPK2iOPJnLnn53CWnrXnetjbz+CosSVvoo09g1SrYdVdsBBUjJ7SKOP/c+Pl4/MnAx58U7JlOkiRJkrZeXl7g6efiuXrrk6ByJTNVqsnMjLj+2vh5fe8D+HSQ2UySEslmkCRtgRAC/VdvEXdiK0NLcXPG6XBqu3h8932BL78ydEiSJEnFyScDYNIkKFcOOp1hpkpVjRtFnN4hHt9zf2DiRLOZJCWKzSBJ2gKjRsOUqZCVBS2OTHQ1+l9RFHHxhRHHtIC8PLjplsB33xs6JEmSpOJg2bLAsy/E8/NOZ0RUqGAzKJWdf05E0/1gxQq45vrA9OlmM0lKBJtBkrQF3l29KuioI6BsWYNLcZSWFnHj9REHHQgrV8L1/wr8MMLQIUmSJCVaz1cCc+ZArVpwSutEV6PCVqpUxO23RNSrB3PnwRVXB6ZNM5tJUlGzGSRJm2nR4sBnn8fjE9wirlhLT4+449aI/ZtDTg5cd2Pgx1GGDkmSJClRpk0L9Hk9Hl92cURmppmqJChfPuLh+yPq1IGZs+DCS929QZKKms0gSdpMnwyIV5rUqwcNGyS6Gv2TjIyIO29fd1uC0WMMHZIkSVIiPP5UYNUqaLofHHhAoqtRUapSJeKpxyJ22Rnmz49XCN15Tz7zF5jPJKko2AySpM0QQuDd/vFE9cTjI6LIq9iSQWZmxD13RuyzNyxfDldfZ0NIkiRJKmpffR0YNhxKlYLLLjFPlUTbbBPx5GMRbdtAFMFHH0PHToHnu+UzY6YZTZIKk80gSdoMY3+CXydDRgYc3SLR1WhzZGZG3Hd3xF5NYNkyuOqawMgfDRuSJElSUVi0OHD/Q/H8u20b2HEHG0ElVXZ2xBWXpfHMk/E5QosWwcs9oX2HwJmd83n62XwGDwn8PCEwY2Zg0eJAXp7ZTZK2VnqiC5CkZPL2u/EE9IjD4z2PlVyysiIeuBduuCnw3ffxCqH77oZ99/G5lCRJkgpLCIEHHw7Mng21a0HXs51/C3ZvGNHtWfhiaJy1R46Eyb/F/8G6zZ8ogrLZgXLloFw5qFABqlSBbatC1SoRVaquHleFKtvgWVSStAE2gyRpE82dG/h0UDxuc7ITy2SVlRVx393wr/8LfP0NXHdj4J47oVlTn1NJkiSpMLzZDwZ9Fm8Pd+v/RWRnO/dWLD094vDD4PDDIhYtjjPaN98EJv8Gf/4JS5ZCTg6EEI+XLAX++N9HWX/VUO1agXr1YJedI3ZvCHvuAWXK+H0nqWSzGSRJm+jtd+ODTndvCA0bOIlMZvEZQvB/t8V7lt9wU+CuO+CA/X1eJUmSpIL0/Q+Bx5+I/1h/0QWRWUobVaF8RIsjocWR636PrFwZWLoUFi+GxUtgyRJYuBDmzI0v2pwzB/6cE/97zhxYuRKmz4j/G/JF/L2XlQUHHxQ4+qiI/faNm1CSVNLYDJKkTbByZeDtd+Nxu1OcNKaCjIyIO2+H2/4dGDwEbrolcO9drhCSJEmSCsroMYEb/hXIy4cWR0H7tomuSMkoIyMiIwMqV97QW9fNbyEEFiyIz/r9ZRL8/HNg5CiYPRsGDIQBAwOVKsJRRwbatI7Yfjvzn6SSw2aQJG2CTz+D+fPjPYgPOzTR1aiglC4dcfstcMvtgSFfwI03B+6/xzOEJEmSpK01bnzgmusDy1fAvvvADddGRJHzbBWuKIqoXBn2qQz77A0QEULgp3FxI2hNtu/7FrzZL3Ds0YGLL4yoVMnvTUmpLy3RBUhScRdC4I2+8dLyNq0jl5OnmPT0iNtviTjwgHg7gev/FRgxcv09pyVJkiRtmjFjA1ddG2/t1aQx3HtXRGamOUqJEUURuzeMuOKyNPq9EfHgfXH+CwE+/BjOOCvw8SeBEMyBklKbzSBJ+gejRsOEiZCRASe2SnQ1KgylS0f8+7aI5s3iw0mvuyEwarRBQJIkSdoc+fmBt94OXHJ5YPFi2HMPuP+eiKwsG0EqHtLTI5o3i7jv7jSeeTKi7k6wYCH8++7Av24OLFpkDpSUumwGSdI/eOXVeDJ4TAuoWNEQk6oyMiLuuiM+THT5Crj2hsAvkwwCkiRJ0qYYPSZw2ZWBhx8J5ObCoYfAQ/dHZGeboVQ87bF7xIvPR5x3TkTp0vDFMOh6XmDyb+ZASanJZpAk/Y1fJgWGfwlRBB1OM8SkuszMiHvujGjcCJYuhWuuD8z6wyAgSZIkbUgIgW+/C1xyeT4XXhIY+SNkZcFlF0fcebuNIBV/6ekRnc6IeObJiFq1YOYsuOBid4qQlJpsBknS3+jVO54AHn4YbL+dQaYkyMqKuOeuiJ12hDlz4OprAwsXGgQkSZKkNfLzA0O+CJx3YeDKa+ImUHo6nHA89Owe0b5dRBSZn5Q86u8a8dxTEY32jC8MvO6GwMRfzIGSUovNIEnaiGnTAoM+i8dnnm6QKUkqlI946P6IatvClKlw/b8CK1YYBCRJklSy5eUFBn4a6Nw18K//C4wbD5mZ0O4UeL13xPXXplGzptlJyalSpYiHH4gbQkuWxhcGTp9uDpSUOmwGSdJGvNInkJ8P+zeHXXYx0JQ01apFPHh/RLlyMGYs3PbvQF6eQUCSJEklTwiBTwYEOp4VuO3fgV8nQ3Y2nNkR+vaJuPzSNKpVMzMp+WVlRdx3d8TO9WDefLjimsDcueZASanBZpAkbcCffwY++jgen+GqoBKr7k5xEMjIgKHD4OlnDQGSJEkqWebMCVx9XeCOuwLTpkGFCnBOl4i+r0Wcf24alSubl5Rayq/eKaJ2LZg5E269I5CbaxaUlPxsBknSBrzcM7BqFTRuBI0bGW5KssaNIm66Mf4e6PM6fPiRIUCSJEklw4iRgS7nBr75FjJKw7ldI/r2iejcKaJCeXOSUleVKhEP3BeRnQ0jf4Tnu5kDJSU/m0GS9D+m/h7o/148PrerAUdw5OERnTvF4/sfCowZaxCQJElS6goh8NobgSuuCsybD/XqwkvdIs46MyI724ykkmH77SL+dX38/d67D4weYw6UlNxsBknS/3i+WyBv9VlBTRobdBTr0jni4INg1Sq46f8Cs2cbBCRJkpR6Qgg8/Vzg8SfjXHT0UfDMkxHbb282Uslz2KERLY+FEOCe+wI5OeZAScnLZpAk/Zfx4wOffQ5RBOefa9jRX9LSIv7vXxH16sLceXDjzQYBSZIkpZ6Xe0LvV+PxJRdF/N9NEWXKmI1Ucl1ycUSVKjD1d+jW3QwoKXnZDJKk//L0c/HE7uijYOd6Bh6tKzs74t67IipVhJ8nwEOPGAQkSZKUOgYPCbzwYjzHveySiNPaR0SRuUglW4XyEdde/dc5sm4bLilZ2QySpNWGfxn4/gdIT4euXQw82rCaNSPuuC0iiuCDD2HgpwYBSZIkJb+pvwfuvDue27ZvC+3bmomkNQ46IOKYoyE/Hx58OJCXZw6UlHxsBkkSkJMT+M9j8WSu3SlQq6bBRxu3914RZ50Zjx94ODBjpkFAkiRJySs3N/DvuwPLV8BeTeCiC8xD0v+67OKIcuXgl0nxhYGSlGxsBkkS0POVwMyZsG1VOPssg4/+WedOEXvuAUuXwu3/DuTm2hCSJElScnrlVRg3DsqVhZv/FZGebiaS/lfFihFdOsc/G891CyxdagaUlFxsBkkq8X6fFnhl9QGpl10SkZ1t8NE/S0+PuPXmiHJlYexP0KNXoiuSJEmSNt/v0wIv94j/qH3l5RHVq5mHpI1pczJsvx3Mnw89etkMkpRcbAZJKtFCCPzn0cCqVdB0Pzjs0ERXpGRSo0bE1VfFYblHr8Cvkw0DkiRJSh4hBB5+JLBydR46ukWiK5KKt/T0iEsuijPg631h+gwzoKTkYTNIUon24UfwzbdQunR8FVwUeRWcNs9RR8CBB0BuLtx7vweJSpIkKXkMHQbffgcZGXD1FeYhaVPs3zxunq5aBc93M/9JSh42gySVWLNmBR55PJ64dekcsV0dg482XxRFXH1FRNmy8NM4ePOtRFckSZIk/bPc3MDTz8Z56NT2ULu2eUjaFFEUceH58c/Lp4NgyhQbQpKSg80gSSVSfn7grnsDy5bBnnvA6acluiIls2rVIi664K+DRN0qQJIkScXdex/A1N+hUkXoeJqNIGlz7LJzxMEHQQjwUk/zn6TkYDNIUon0xpswYiSUyYKbb4woVcrwo61zwvGwVxNYsQLufzAQgoFAkiRJxdOqVYEeveL56lmdIsqVMw9Jm+vss/5aHTR1qvlPUvFnM0hSiTNufODZ5+KJ2sUXRW6HoAKRlhZx/TURGRnw/Q/w/oeJrkiSJEnasI8+htmzoco2cGKrRFcjJaddd4k46EDIz4eXXR0kKQnYDJJUosxfELjplsDKVXDwgXDSCYmuSKmkTp2Ic7rEzcWnngksXGggkCRJUvGSlxfo2Tuep57eISIz04vjpC21ZnXQgE9h6u/mP0nFm80gSSVGbm7gtjsCs2fDdtvBTTdGRJHBRwWrfVuoVxcWLYJnXzAMSJIkqXj5YijMmAEVK7gqSNpa9XeNOPCAeHVQ71fNf5KKN5tBkkqM514IfP9DfE7QXXe4L7YKR3p6xFVXxN9b/d+D8eMNBJIkSSo+Xu8bz09POhHKlDETSVvrjNPjn6OPB8C8eeY/ScWXzSBJJcI7/QO9+8TjG2+IqLuToUeFp3GjiGNaQAjw0KOB/HwDgSRJkhJv/PjAqNGQng5tTjYTSQVhzz0idm8Iq1bBW2+b/SQVXzaDJKW8L4YGHvpPPCE7+yw44jBDjwrfRRdElC0L48bB+x8kuhpJkiQJ3n43zkVHHAZVq5qLpIJyWvv456nf27BihQ0hScWTzSBJKe3b7wK33B7Iz4fjW0KXzgYeFY0qVSK6rv5+e65bYNkyA4EkSZISZ9mywKefxeOTTjQXSQXpkIOhZk1YuAg+/DjR1UjShtkMkpSyRo0O3HhzYNUqOOwQuPaqiCgy9KjotGkNderA/PnQq7fNIEmSJCXOZ4Nh+fJ4ftpoz0RXI6WWUqUiTm0X/73htTfcKlxS8WQzSFJK+nlC4NobAitWQLOmcOv/RaSn2whS0UpPj7jo/Pj7rs/rMHu2gUCSJEmJ8f4H8Vz0+OO8SE4qDC2PhXLlYNo0GDY80dVI0vpsBklKOb9NCVx9bWDpUmjSGO66I6J0acOOEuPgg6BxI1i5Mt4uTpIkSSpqU6cGRo2GtDQ47phEVyOlpuzsiJNOiMd93zL7SSp+bAZJSilTpgQuvzKwYCHsVh/uuzsiK8tGkBIniiIuuSj+Hvz4k3jVmiRJklSU3v8wnoM2bwZVq5qPpMLS+uSIUmnw/Q/w669mP0nFi80gSSlj6tTAZVcG5s6DevXgofsjypY16CjxGuwW0eIoCAGefDoQgqFAkiRJRSM3N/DR6gPtj29pPpIKU43qEQcfHI/fcHWQpGLGZpCklDD198Cl/9UIevShiIoVDToqPs4/JyKjNPwwAoZ/mehqJEmSVFJ88y3MnQeVK8OB+ye6Gin1tTsl/lvEJwNg4UIbQpKKD5tBkpLezJmBK64KzJ0L9erGjaBKlWwEqXipUSOiXdt4/NQzgdxcQ4EkSZIK36efxfPOI4+A9HRzklTYGu0Ju+wMOTnw3geJrkaS/mIzSFJS+/PPwOVXB2b/CTtsD4/YCFIxdmbHiIoVYMpUGDgo0dVIkiQp1eXkBIYOi8dHHm5OkopCFEW0Xb066M1+XggoqfiwGSQpac2fH7ji6sCMGVCrVtwIqlzZgKPiq1y5iA6nxd+j3V8yFEiSJKlwffsdLF0K1baF3Rsmuhqp5DjqCKhUEWbPZm1DVpISzWaQpKS0aFHgymsCU6ZCtWrx1nDbbmsjSMVfm5OhUiWYPgM++iTR1UiSJCmVDVq9Rdzhh0FamnlJKiqZmREnnhCP+77lRYCSigebQZKSzooVgWtvCPwyCbapHK8IqlnTYKPkkJ0d0bFD/P36co/AqlUGA0mSJBW8nJzAF6tXJBx+mHlJKmqtT4ooVQpG/ggTJ5r7JCWezSBJSSUvL3DHXYGxP0H58nEjaPvtDDZKLq1PgirbwMxZ8MFHia5GkiRJqeirb2D5cqhe3S3ipETYdtuIww6Nx2+4OkhSMWAzSFJSeerZwJAvoHRpuPeuiLp1bQQp+WRlRZzRcfXqoJ6BlSsNBpIkSSpYa7eIOzQ+0F5S0Wt3SvyzN3AgzF9g7pOUWDaDJCWNt94OvPZ6PP7XDRGNGxlolLxObAVVq8YHir73QaKrkSRJUipZsSIwfHg8PuJwc5OUKLs3hN3qw8pV0P+9RFcjqaSzGSQpKfw4KvDo4/FVNOedE9HiSAONkltmZkSnM+Lv4x69Ajk5XiUmSZKkgvHtd7B8BdSoDg12S3Q1UskVRRFtV68OeuvtQG6uuU9S4tgMklTszZkbuOW2QF4eHHUknNkx0RVJBaNVS6hWDebMgXf6J7oaSZIkpYqhw+M/OB98kFvESYl2xGGwTeU49302ONHVSCrJbAZJKtZycwO33h6YOw922hGuvyYyzChlZGREnHVm/P3c65XAihVeJSZJkqStk5cXGLZ6i7iDDjQ7SYmWkRHR+uT4Z/G11wMhmPskJYbNIEnF2nPdAj+OguxsuOvfEWXKGGaUWloeCzVrwLz58Nbbia5GkiRJyW7ceFiwAMqVhcaNEl2NJICTT4KM0jD+Zxg1OtHVSCqpbAZJKrZGjAy82ice/+v6iO23sxGk1FO6dETns+Lv7Vdfc3WQJEmSts7QYfF8slkzSE83Q0nFQeVKEcccE49fe8PMJykxbAZJKpaWLg3cdU8ghPhclcMONcQodR3TIl4dNH8+9H8/0dVIkiQpmQ11izipWGrfNv6Z/GIoTJ9uQ0hS0bMZJKlYevSJwKw/oGZNuOwSQ4xSW3p6RMfT4+/z3q8GVq40GEiSJGnzTZ8e+O03KFUKmjVNdDWS/ttOO0Y0awohwBtvmfkkFT2bQZKKnaHDAh98CFEEN98YkZ1tM0ipr+WxULUq/DkHPvw40dVIkiQpGQ1bvSqoSWOoUN4cJRU3p7WPfy7f/wAWLbYhJKlo2QySVKwsWxZ46D/xhKjDqdC4kQFGJUNGRsTpp8Xf771eCeTmGgwkSZK0eYYOj+eQBx5gjpKKo333gXr1YPly6Pd2oquRVNLYDJJUrDzfLfDnHKhdC7qebYBRyXJiK6hUCWbOggGfJroaSZIkJZPFiwM//hiPDzwgsbVI2rAoiujYIf5bxxtvBlas8CJASUXHZpCkYuOncbm82S8eX3VFRGamzSCVLFlZ0dptA3r2CuTlGQwkSZK0ab77HvLyYccdoHYts5RUXB1xGNSsAQsWwPsfJroaSSWJzSBJxUJeXuC2fy8hPx+OPByaNTW8qGRqfRKULw9Tf4fPhyS6GkmSJCWLb76NLyRqul+CC5H0t9LTIzqs3iL81T5uES6p6NgMklQsvPsejB2bR9mycOklNoJUcpUtG9HulPhnoEfPQH6+wUCSJEl/L4TA19/G46b7maek4u744+Itwmf9AYM+S3Q1kkoKm0GSEm7x4kC3F+M/eJ/bNaJqFcOLSra2bSA7Gyb9CsO/THQ1kiRJKu6mTIXZsyGjNDRpnOhqJP2TzMy/LgLs1duLACUVDZtBkhKu5yuBBQuh7k6lOPnERFcjJV6FChFtTo7HL/cMhGAwkCRJ0sZ9s3pVUOPG8TmUkoq/1idD2bLw62QY7BbhkoqAzSBJCTV9RuCNN+PxNVdlk55ucJEATm0XkZkJ48b/Fe4lSZKkDVlzXtB++5qnpGRRoXxE+7bx+MWXXB0kqfDZDJKUUM88F1i1CvbdBw45uHSiy5GKjcqVI046IR73fMVQIEmSpA3LyQmMGBmPmzVNaCmSNlP7thHlysLk3+CzzxNdjaRUZzNIUsKMGRv47HNIS4NLLoqIIq9ik/5bh1Mj0tNh5I/w4ygbQpIkSVrfqNGQkwNVq0LdnRJdjaTNUb58RPt28d9Cur8cyMsz90kqPDaDJCVECIFnn48nOS2PhZ3r2QiS/te220Ycd2w8dnWQJEmSNmTNFnFN98UL7KQk1L4tlCsHv02BQZ8nuhpJqcxmkKSE+O57GDESSpeGzmcZWKSN6XhaRFoafPU1TJhoQ0iSJEnrWnO+ZNP9zFVSMipXLuK09vHPb7fugVWrzH2SCofNIElFLoTAc93iyc1JJ0KN6oYWaWPq1Ik48oh47OogSZIk/bc5cwKTfoUogv32TXQ1krZU+7ZQuTJMmwZvv5voaiSlKptBkorcsOEwbhxkZUGnjjaCpH9yxunxz8nng2HqVBtCkiRJiq1ZFbRbfahY0WwlJavs7IiuZ/91dtCixeY+SQXPZpCkIpWfH3j+xXhS07YNbLONgUX6J/XqRhx0IIQAvXobCiRJkhT7es15QfsluBBJW61VS9hpR1i0CF7uae6TVPBsBkkqUp8PgUmToGxZOP00G0HSpjpz9Sq6jwfArFkGA0mSpJIuPz/w3Xfx2POCpOSXnh5xyUXxz/Kbb8G0aeY+SQXLZpCkIpOfH9Ze3dK+LVSoYGCRNtXuDSP22Rvy8uDV1wwFkiRJJd2ECbBwEWRnw+4NE12NpILQrGlE0/0gNxeefNrcJ6lg2QySVGSGDY9XBWVnQ7tTbARJm6vTGfHPTf/3Yd48g4EkSVJJ9vXq84L22TteUSApNVxyUUSpUvDFMPhiqLlPUsGxGSSpSIQQeKlHPIk5pbWrgqQtsfde0LABrFwJr/c1FEiSJJVk36w+L6iZW8RJKaXuThEdTo3H/3k0sGyZ2U9SwbAZJKlIfPUN/DwBsrKgfTvDirQloihauzrorbdh0WJDgSRJUkm0dGlgzNh43LRpYmuRVPA6d4qoWRNm/wndupv7JBUMm0GSCl0IgZdXrwpqfRJUrmQzSNpSB+wP9erCsmXwVr9EVyNJkqRE+P6H+CzJOnWgVk3zlZRqsrIirr4i/tl+4034eYINIUlbz2aQpEI3YiSMGQsZGXBae4OKtDXS0iLO6Lg6FPQNLF9uKJAkSSpp/toiLsGFSCo0zZtFHHk45OfD3fcFVq40+0naOjaDJBW63n3iCcvxLaFKFZtB0tY6/FCoXQsWLoL+7yW6GkmSJBWlEAJffxuPm3pekJTSrrgsolJFmDQJur9sM0jS1rEZJKlQ/TIp8NXXkJbmqiCpoKSnR3Q8Pf556v2aV4hJkiSVJNOmw8yZkJ4OezVJdDWSClPlyhHXXh1nv1dehTFjzX6StpzNIEmF6tXX4olKvJLBZpBUUI49GratCnPmwEefJLoaSZIkFZVvVq8K2nMPyM42Y0mp7tBDIo5pEW8Xd+c9bhUuacvZDJJUaGb9ERj4aTzucJohRSpIGRkRHU5dfYVY70BuroFAkiSpJFhzXpBbxEklx+WXRWxbFaZNg8eeNPtJ2jI2gyQVmjf6BvLyYJ+9Ybf6BhWpoJ3QCipWgOkz4LPBia5GkiRJhW3VqsAPI+Jxs6aJrUVS0alQPuKmGyOiKD439pMBNoQkbT6bQZIKxaLFgXf7x+OOHWwESYWhTJmIdm3jn6+evQL5+QYCSZKkVDZ6DCxfDpUrw871El2NpKK07z4RnTvF4wceCkyZYv6TtHlsBkkqFG+/A8tXxAFlv30TXY2Uuk5pDdnZ8OtkGP5loquRJElSYVq7Rdy+kJbmRXdSSdO5U8Q+e8d/b/m/2wIrVtgQkrTpbAZJKnA5OYE33ownJKd3iIgiQ4pUWMqXj2hzcjx+uVcgBMOAJElSqvrm2/j/nhcklUylSkXcclPENpXjCwIfftT8J2nT2QySVOA++gTmz4ca1eGIwxJdjZT62reNyMiAceNYu4e8JEmSUsu8eYEJE+Nx0/0SW4ukxKlSJeK2WyLS0uCDD+GDD20ISdo0NoMkFai8vMCrr8UTkVPbR6Sne8WaVNi22SbihOPjcY9eBgFJkqRU9O138f933QUqVzZnSSXZ3ntFdOkcvw489Ejgl0nmQEn/zGaQpAI1dBhMmwYVKkCrlomuRio5OpwWUaoUfP8DjBlrEJAkSUo133wXz/E8k1USQKczoFlTyMmBm/4vsHixOVDS37MZJKnAhBDo9Wo8+WhzMpQp49VqUlGpUT3imKPjca/ehgBJkqRUkp8f+Hb1eUHNmpqzJEFaWnx+UPXqMH0G3H1vID/fLChp42wGSSowI3+MzyzJyIBTWhtQpKJ2RoeIKIpX6E361RAgSZKUKiZNgnnzoUwW7LlHoquRVFxUrBhx5+0RpUvDF8Ogd59EVySpOLMZJKnA9O4T//G55XHuYS0lwvbbRxx2aDzu0dNmkCRJUqr4evWqoL32gtKlzVqS/tJgt4grLotfF557IfDDCLOgpA2zGSSpQEz6NfDlV5CWBqe1M5xIiXLWmfHP36DP4dfJhgBJkqRU8M238byu2X5mLUnrO7EVHHcM5OfDrXcE/vzTLChpfTaDJBWIV1+LJxqHHgJ16hhQpETZuV7EYYdACPByDwOAJElSslu2LDBqdDxu2jSxtUgqnqIo4uorI+rVg/nz4f9uC6xaZR6UtC6bQZK22h+zAwMGxuPTT7MRJCVa57NcHSRJkpQqfhgJublQsybUqZ3oaiQVV1lZEXfdHlGuLIwZC08+YxaUtC6bQZK22ut9A3l5sPde8V61khLL1UGSJEmp46uv4/lc82bx1f+StDF16kTcdGP8OtH3TRj4qXlQ0l9sBknaKosWB97tH49dFSQVH64OkiRJSn4hBL7+Oh43b2rekvTPDj4o4ozT4/F9DwSmTTMPSorZDJK0Vd55F5Yvh3p1oZn7V0vFhquDJEmSkt/UqTBzFpQuHe/EIEmb4pwuEU0aw/IV8O+7A7m5ZkJJNoMkbYWcnMAbfeMJxemnRW5ZIBUzrg6SJElKbl99E/+/SWMoU8a8JWnTpKdH3HxjRNmyMPYn6NU70RVJKg5sBknaYh99AvPmQ7VqcOQRia5G0v9ydZAkSVJy+/KreA63fzMbQZI2T40aEVdeHr92dH8pMG68mVAq6WwGSdoieXmBV/vEE4nT2kWkpxtOpOLI1UGSJEnJadmywI+j4nHzZomtRVJyOqYFHH4Y5OXDv+8KrFhhJpRKMptBkrbI4C9g2nQoXx5aHZ/oaiRtjKuDJEmSktMPI2HVKqhZE7bbLtHVSEpGURRx7VURVavC1N/hyWfMhFJJZjNI0mYLIfBK73gCcUpryM52VZBUnK2zOuhXJ/+SJEnJ4Kuv43lb82Z4PqukLVahQsRNN8SvIf3ehm++NRNKJZXNIEmb7fsf4OcJkJkJp7QxlEjF3X+vDnqhuxN/SZKk4i6EwFdfxWPPC5K0tfbbN+KU1vH4gYcCy5ebC6WSyGaQpM32yqvxpKFVS6hcyWAiJYOuXSLS0mDIF/DTOCf+kiRJxdlvU2DWH5BRGvbeK9HVSEoF558bUa0azJwF3V82E0olkc0gSZtl/M+Bb7+DUmlwWnsbQVKy2GnHiGNaxONnn3fiL0mSVJwNHRb/f++9ISvL3CVp62VnR1xzZfx68trrMGGiuVAqaWwGSdosvfvEk4UjjoCaNQ0lUjLp0jkiPT3e6vG77534S5IkFVfDv4znagcdYOaSVHAO2D/iiMMhLx/ueyCQl2culEoSm0GSNtn06YHPB8fj008zlEjJpmbNiJNOiMfPvhAIwYm/JElScTN/fmDM2Hh8wP6JrUVS6rn8kohyZeOzoN9+J9HVSCpKNoMkbbJXXwvk50PzZrDLzjaDpGR01pkRWVkwbtxf249IkiSp+Bj+FYQA9XeFatXMXZIKVpUqEeefF7+2PP9iYO7c/ARXJKmo2AyStEnmzQt88GE87tjBQCIlq222iWjXNh4/94LbAkiSJBU3Q4et3iLuQHOXpMJxYivYdVdYsgQeeWxZosuRVERsBknaJG+8GVi5Cho2gCaNE12NpK1x+qkR5cvD5N9gwKeJrkaSJElr5OQEvv0uHh94QGJrkZS6SpWKuOryuOH81ts5jBnrRYJSSWAzSNI/WrIk0O/teNzx9Igo8go1KZmVLx+tXeH3fLdATo4Tf0mSpOLghxGwYgVU2xZ22TnR1UhKZXvsHtHy2Hj88KPuGiGVBDaDJP2jN96EJUthxx3g4AMTXY2kgtC2TfxHhj/+gDf7JboaSZIkwV9bxB14IF6EJ6nQXXh+RPnyERMmwEefJLoaSYXNZpCkv7V4ceC1N+JAcvZZEWlpBhIpFWRlRZzbNf557tEzsHChV4FJkiQlUn5+YNiX8figA8xdkgpf5coRF5xbBoh3jVi+3FwopTKbQZL+Vt+34gMFd9wRDjs00dVIKkhHt4i3H1myFF7q4aRfkiQpkX4aB3PmQHY27NUk0dVIKilO75BFzZrx60+f1xNdjaTCZDNI0katsyqoU0SpUl6dJqWSUqUiLrpgzaGh8Ps0G0KSJEmJMnhIPBc7YH/IyDB7SSoaGRkRF5wXv+b0fjUwZ665UEpVNoMkbdR/rwo6/LAEFyOpUOy3b0TzZpCXB88+56RfkiQpEUIIfD4kHh96sI0gSUXriMNg94awfAV0e9FcKKUqm0GSNmjx4sBrr3tWkFQSXHR+RFoafD4ERo9x4i9JklTUJv4CM2dCZiY0b5boaiSVNFEUcclF8d993v8QJv9mLpRSkc0gSRv0xpvxOSI77giHe1aQlNLq1o04/rh4/MRTgRCc+EuSJBWlzwfH869mTaFMGS/Ek1T09twj4uCDID8fXnzJTCilIptBktazeHHg9TdcFSSVJF27RJTJgrE/wYCBia5GkiSpZBm8eou4ww4xe0lKnHO6REQRfPY5TJhoQ0hKNTaDJK2nz+uBJUthpx1dFSSVFFWrRJx5RvzHh6eeDSxb5sRfkiSpKEz+LTBlKqSnwwH7J7oaSSVZvboRRx4Rj1/oZiaUUo3NIEnrmDs38Nob8ficrq4KkkqSU9tBrVowZw70fMWJvyRJUlFYsypov32hXDnzl6TE6np2RKk0GP4VjBlrLpRSic0gSet4uWdgxQpo2AAOOSjR1UgqSpmZEZddHP8Bos/rMG2aE39JkqTCNnhIPOc69GAbQZISb7s6EccdG4+fd3WQlFJsBklaa/r0wDv94/EF50VEkWFEKmkOPACa7gerVsETTzvxlyRJKkyTfwtM/AVKlYKDDkx0NZIU69wpIj0dvv8Bvv/BXCilCptBktZ6oXsgLy/+Q/Dee9kIkkqiKIq47JKIUqVg6DD4+hsn/pIkSYXlk4HxXKt5M6hUyQwmqXioUSPipBPi8fPdAiGYC6VUYDNIEgATJwYGDIzHF5xnCJFKsh13iGjbJh4/+nhg1Son/pIkSQUtPz8wYEA8PrqFGUxS8XLmGRGZmTBmLHz5VaKrkVQQbAZJAuDZF+I/9h55BOy6i0FEKunOPiuicmWY+ju82S/R1UiSJKWe0WNg1h+QnQ0HHZDoaiRpXVWrRJzSOh536+7qICkV2AySxIiRga++jvepPreLjSBJUK5cxPnnxq8H3V8OzJvnxF+SJKkgfTIgnl8ddghkZprDJBU/HU6LKJMFP0+AYcMTXY2krWUzSCrh8vMDTz0bh5ATWkGdOoYQSbGWx8Ju9WHp0r9WD0qSJGnrrVoVGPR5PHaLOEnFVeVKEaes3kL8hRcD+fnmQimZ2QySSrhPP4Nx46BMFpzdyRAi6S9paRFXXBa/Lrz/AYwb78RfkiSpIHz1NSxeDFWqwF5NEl2NJG1ch1MjypSBXybBF0MTXY2krWEzSCrBcnICzzwX/3H3jI4RVarYDJK0rj12jzj2mHj8yGNeCSZJklQQPv4knlO1OBJKlTKHSSq+KlaMaN82Hr/4kplQSmY2g6QS7PW+8McfUK0anNY+0dVIKq4uOC++EmzsT/DxJ4muRpIkKbktWBAYuvrsjWOOthEkqfg7tX1E2bIw6Vf4fEiiq5G0pWwGSSXUvHmBHr3iqzkuODfywFJJG1W1SkTn1dtIPv1sYMkSrwSTJEnaUh8PgNxcqL8r7LKzOUxS8Veh/Lqrg/LyzIRSMrIZJJVQL3QPLF8ODXaDo45MdDWSirv2bWG77WDefOj+shN/SZKkLRFC4L3347lUq+NtBElKHu3bRpQrB7/9BoM+T3Q1kraEzSCpBPr118B778fjSy6KSEszhEj6e6VLR1x5Wfxa0fdN+HWyDSFJkqTN9dM4mPwbZGbCUUckuhpJ2nTly0ec1j7OhN1dHSQlJZtBUgkTQuCJpwP5+XDYodC4kY0gSZum6X4RBx8Eefnw6OOBEJz8S5IkbY41q4IOPyz+w6okJZN2p0CFCjD1dxj4aaKrkbS5bAZJJczQYfDNt5CeDheeZ/iQtHkuvTgiIwO+/wE+G5zoaiRJkpLHsmWBgYPicauWZjFJyads2YgOp65eHfRyIDfXCwSlZGIzSCpBcnICjz0R/6LucCrUrm0AkbR5atWM6NghHj/xVGD5cif/kiRJm2LQ57B8OdSpA40bJboaSdoyp7SGShVh2nQYMDDR1UjaHDaDpBKkV+/AzFlQrRp0OsNGkKQtc8bpETVrwOzZ0PMVm0GSJEn/JITAO+/G86ZWLSOiyDwmKTllZ0ec3mH16qAerg6SkonNIKmEmD498ErveHzpRRFlyhg+JG2ZzMyISy6OX0NefQ2mTXPyL0mS9HfG/gTjxkNGaTi+ZaKrkaSt0/okqFwZZsyAjz5OdDWSNpXNIKmEePSJwMpVsO8+cNihia5GUrI75CBouh+sWgWPPWkzSJIk6e+80TeeLx11FFSu5IV5kpJbmTIRHVevDnqpR2DVKjOhlAxsBkklwLDhgeFfQno6XHmZWxJI2npRFHH5JRGlSsHwL2H4l07+JUmSNmT27MDng+Nxu1PMYpJSw8knQpVtYNYf8MFHia5G0qawGSSluJycwCOPx3+kbd8OdtjB8CGpYOywQ8Sp7eLxY08EVq60ISRJkvS/+r0TyMuHJo1hl53NY5JSQ1ZWxBkd49e0l3uaB6VkYDNISnGvvAozZ8K2VaHzmQYPSQWrc6eIKlVg2nR47Y1EVyNJklS85OQE3u0fj9u1NY9JSi0ntoKqVWH2bHjvg0RXI+mf2AySUtiMmYFeveMrMy65KCI72/AhqWBlZ0dcfMFfV4P9MdurwSRJktYYMBAWLoKaNeCgAxJdjSQVrMzMiDNXrw7q0SuQk2MelIozm0FSCou3bYJ99oYjDk90NZJSVYujoNGesGIFPPW0k39JkiSAvLxA7z7x3KhN64hSpbw4T1LqOeF4qLYtzJkD77yb6Gok/R2bQVKK+vKrwNBhUKoUXHFZRBQZPCQVjiiKuPKyiLQ0+PQzGD3GhpAkSdKQL2Dq71C+PJx0QqKrkaTCkZERcVanv3aLWLzYPCgVVzaDpBSUkxN45LH4l2+7U2CnHW0ESSpcu+wScfxx8fiJpwIhGAAkSVLJFUKg5yvxfKhtG9yyW1JKO/442HGHeFvMV141C0rFlc0gKQW9+hpMnwFVqkCXzoYOSUWja5eIMlkw9icY9Hmiq5EkSUqcr7+BCROhTBa0bWMmk5Ta0tMjLjg/fq17vS+eJSsVUzaDpBQza9ZfV6BdfGHkFWiSikzVKhGnd4hfc555LrBypQFAkiSVTGsy2YknQsWKZjJJqe/A/aFJY1i5El7oZhaUiiObQVKKeezJQE5O/Au4xZGJrkZSSXNae6haFWbOhDf7JboaSZKkovfjqMCPo6B0aTitnY0gSSVDFEVcdEH8mvfRJzBxog0hqbixGSSlkK+/CQz5AkqlwVWXR0SRwUNS0SpTJuLcrn8dHrpwoQFAkiSVLN26x/Of446Fbbc1k0kqORo2iDjyCAgB/vOYZ8lKxY3NIClFrFwZ+M9jqw8oPQXq1jV0SEqMY4+GevVgyRLo3sPJvyRJKjm+/yHww4h4VVCnM8xkkkqeiy6IyMqCUaPh4wGJrkbSf7MZJKWI1/vCtGmwTWXo0tnQISlxSpWKuOTC+HWo39vw+zQbQpIkKfWFEHh+9TkZJ7aCGtXNZZJKnurVIs46M379e+rpwJIl5kGpuLAZJKWAOXMDL/eMf7leeH5E2bKGDkmJtd++Ec2bQV4ePP2sk39JkpT6vvoaxoyFzEw401VBkkqw09rDdtvBvPnw4kvmQam4sBkkpYBnngssXw4NGsAxRye6GkmKXXRBRFoaDPkiPkhZkiQpVf33qqBTWkPVKjaDJJVcpUtHXHlZ/Dr45lsw6VfzoFQc2AySktzYnwIffRyPr7g0Ii3N0CGpeKi7U0Sr4+PxU894eKgkSUpdQ76ACROhTBk4/TQzmSQ13S/i0EMgLx/+86h5UCoObAZJSSw/P/DIY/Ev0+OOgd0bGjokFS9dO0dkZsLYn+DLrxJdjSRJUsHLywu88GKcy05tB5UqmcskCeDSi+M8OPJHGDAw0dVIshkkJbGPPoZx4+Orz84/z8AhqfipUiXilNbx+Plugfx8rwaTJEmp5dPPYPJvUK4cnNrOXCZJa9SoHtFp9Rlqjz8VWLTIPCglks0gKUktXRp45rn4l+jZZ0XuSS2p2OrYISI7Gyb+AoOHJLoaSZKkgpObG3ixe5zLTj8tonx5c5kk/bcOp8KOO8D8+fH24ZISx2aQlKRe7hmYNx/q1IF2pyS6GknauIoVI05tF4+7dQ/k5RkAJElSavjoY5g2HSpVhLZtEl2NJBU/GRkR110TN8rf+wB+GGEelBLFZpCUhKb+Hni9bzy+7OKI0qW9+kxS8XZqu4jy5eG3KfD+BysTXY4kSdJWW7ky0L1H/EfNMzpGZGebyyRpQxrtGXHySfH4/ocCOTk2hKREsBkkJaEnngzk5kLzZnDA/gYOScVfuXIRp58Wv1499cwycnOd/EuSpOTW/z344w+oUgVan5ToaiSpeLvg3IiqVWHaNOj+snlQSgSbQVKS+fa7wPCvoFSpeFWQJCWLtm2gcmX4fVo+H3yU6GokSZK23IoVgR694j9mdu4UkZlpNpOkv1OuXMTVV8Svlb37wNifbAhJRc1mkJRE8vPD2sP2Wp8E229v4JCUPMqUiTizY/y69dLLgZUrnfxLkqTk9GY/mDsPataAVi0TXY0kJYeDD4o4pgXk58Nd97hdnFTUbAZJSeTjATDxFyhbNr76TJKSzUknQPVqacz+Ez74MNHVSJIkbb4lSwKvvBr/AbNLZ89wlaTNcfll8XZxU3+H57rZDJKKks0gKUnk5ASefyH+JXlmx4hKlQwckpJPZmZE17OzAOjZO7BqlZN/SZKUXF57I7BoEeywPRzdItHVSFJyqVA+4vpr479pvf4G/DjKTCgVFZtBUpJ4vS/M/hOqVYN2pyS6Gknacm1PyaJKlfjA5Q8/TnQ1kiRJm27hwsBrb8Tjrl0iSpXyIj1J2lz7N4to1RJCgLvuDSxbZkNIKgo2g6QkMH9BoOcr8S/G88/xcFJJyS0zM6LjafHrWM9egdxcJ/6SJCk5vPJqYNky2GVnOOyQRFcjScnr0osjqleHGTPg6efMhFJRsBkkJYGXXo4Dx667QoujEl2NJG29k06EbSrDzFnw0SeJrkaSJOmfzZkbeLNfPD63a0RamhfpSdKWKls24sbr4tfRfm/Dd9/bEJIKm80gqZj7fVrg7Xfj8cUXGDgkpYbMzIjTO8SvZz1cHSRJkpJAj56BnBzYY3fYv3miq5Gk5LfvPhGtT47H99wfWLrUXCgVJptBUjH34kuBvDxo3gz22dtGkKTUcdIJUKlSvC3AgIGJrkaSJGnjZs4MvPtePD7vnIgoMptJUkG48LyIWrXiM2Uff9JmkFSYbAZJxdivkwMDP43H53Y1bEhKLWXKRJy++uygl3u6OkiSJBVf3V8O5ObCPnvD3nuZzSSpoGRnR9x0Q0QUwXsfwJdfmQulwmIzSCrGXuweCCE+mLT+rgYOSann5BOhUkWYNh0+HZToaiRJktY3ZUpYe8bheeeYyySpoDVuFNG+bTy+78HAosU2hKTCYDNIKqYmTAx8PgSiCLqcbeCQlJqysyPat4tf43r1DuTnO+mXJEnFS7eXAvn5cOABsHtDs5kkFYbzzonYfjuYMwcefcxcKBUGm0FSMfXCi/EvvqOOhLo7GTgkpa7WJ0HZsjD5Nxj+ZaKrkSRJ+svEiYFBn8Xjc7qYyySpsGRmRtx0Y0RaGnw8AIZ8YUNIKmg2g6RiaMzYwPAvIS0Nzj7LwCEptZUvH9H6pHjco1cgBCf9kiSpeHh+9UV6Rx4Ou+xsNpOkwrR7w4iOHeLxAw8HFiwwG0oFyWaQVAytWRV07DGw/XYGDkmpr33biIwM+GkcjBiZ6GokSZLWvUivq1t3S1KROPusiHp1Yf58ePA/XiwoFSSbQVIxM2Jk4LvvIT0dzu5k4JBUMmyzTcTxLeNxz1ec7EuSpMR7vtt/XaS3vdlMkopCRka8XVypUvD5YPh0UKIrklKHzSCpGAkhrF0V1Kol1Kxp4JBUcpx+akSpNPj2Oxg/3oaQJElKnO9/CHz/Q3yRXhe37pakIrXrLhFnnRm/9j78aGDuXPOhVBBsBknFyHffw4+jIKM0dDrDwCGpZKlZM+Koo+Jxz95O9iVJUmKEEHjuhXguctIJUKOG2UySilqnM2DXXWHRIrj/IbeLkwqCzSCpmAgh8NzqbQhOPgmqVTNwSCp5OnaIX/uGfAFTpjjZlyRJRe/Lr2DsT5CZ6UV6kpQo6ekRN98QUbo0DBsOH32c6Iqk5GczSComhn0J48ZBVhaccbqBQ1LJVHeniIMPghDglVdtBkmSpKIVQqB7j3gO0uZkqFLFbCZJiVK3bkSXzvHr8KOPB2bPNiNKW8NmkFQM5OcHuq0+K+iU1vFB6pJUUp3ZMX4N/HgAzPrDyb4kSSo6334XX6SXmQkdTjWXSVKidTgVGjaAJUvh3gfcLk7aGjaDpGJg8BCY+AtkZ8Pppxk4JJVsDRtE7LM35OVBn9ec6EuSpKIRQuCl1auCTmzlRXqSVBykp0fcfGNERgZ88y0MHJToiqTkZTNISrC8vEC37nHgOLUdVKxo4JCkNauD+r8P8+fbEJIkSYVvxEgYNRpKl/YiPUkqTrbfPlp7htsTTwWWLjUjSlvCZpCUYJ8Ogt+mQPny0L6tgUOSAPbZGxrsBjk58PqbTvQlSVLhe7lnPOc4viVsu63ZTJKKk9NPgzq1Ye5cePElM6K0JWwGSQmUmxvW/gI7/bSI8uUNHJIEEEURZ6xeHdSvH175JUmSCtXoMYHvf4BSpeCMDuYySSpuMjIirrw8fn3u+yZM+tWMKG0um0FSAn30MUybDpUqwSmtE12NJBUvBx8IO+4QHxTa751EVyNJklLZmrOCjjsGatSwGSRJxVGzphGHHQJ5+fDQfwIh2BCSNofNIClBVq4MdF8dOM44PSI728AhSf8tLS2i4+orc19/I5CT40RfkiQVvHHjA19/A6XS/jq3UJJUPF16SURWVnzG20efJLoaKbnYDJIS5L0P4I8/oEoVaH1SoquRpOKpxVFQvTrMmw8ffJToaiRJUipac1bQUUdB7do2gySpOKteLaJzp/i1+qlnAosXe9GgtKlsBkkJkJMT1gaOTmdEZGYaOCRpQ9LTIzqcGr9G9u4TyM11oi9JkgrOxF8CQ4dBFMFZZ5jLJCkZnNou3lJ8/nx4vpsZUdpUNoOkBHj7XZg7N77a/YTjE12NJBVvrVrGZ6vNnAmDPkt0NZIkKZWsuUjviMNh++1tBklSMihdOuLKy+PX7LffhZ8n2BCSNoXNIKmILVsW6PlK/Euq85kRGRkGDkn6O1lZEe3bxq+VvXoH8vOd6EuSpK03+bfA4CHx2FVBkpRc9tk74sgjID8fHvqPOVHaFDaDpCL2Zj9YsABq14Ljjk10NZKUHFqfBNnZ8OtkGP5VoquRJEmpoEevQAhw6CFQt67NIElKNpdeFJGdDT+Ng/c/SHQ1UvFnM0gqQkuWBHr3ia9U6NI5Ij3dwCFJm6J8+YjWJ8XjXq8EQvCqL0mStOWm/h74dFA8PutMc5kkJaOqVSO6nh2/hj/zXGDhQnOi9HdsBklF6LU3AosXx4fcHXVkoquRpOTSvm1ERmkYMxZG/pjoaiRJUjLr2SuQnw8H7A+77mIzSJKS1Smtoe5OsHARPPO8zSDp79gMkorIwoWB1/vG4y5nR5QqZeCQpM1RpUpEy5bxeM3Za5IkSZtr+ozAJwPicedO5jJJSmbp6RFXXxm/lvd/D8aMNStKG2MzSCoir74WWLoUdq4Hhx2S6GokKTmdflpEqTT45lv4eYKTfEmStPl69Q7k5UPT/aBhA5tBkpTsGjeKaLn6XO6HHwnk5poVpQ2xGSQVgblzA33fisfndIlISzNwSNKWqFUz4sgj4nGv3k7wJUnS5pn1R+DDj+KxZwVJUuq48PyIcuVgwkR4+91EVyMVTzaDpCLQs3dgxQpo0AAOPCDR1ag4mTx5MrfccgvHH388Bx98MCeffDIPPvggCxYs2OTHuOuuu2jevDnNmzdn5MiR6709Pz+f5557jlatWnHooYdy4YUXMnHixA0+Vm5uLh07duTcc88lhM3/Q/uaOv7Oe++9R/Pmzbnjjjs2ePt//3fYYYfRqlUrLrzwQp544gl+/fXXzX5cpZ4zTo//cPP5YJg61YaQJEnadL1fDeTmwl5N4ivJpc1lhlv/9ubNm1O/fn0znBKqcuWIC86NX9ef7xaYM9esKP0vm0FSIZv1R+Cd1VcknNc1IooMHIp99913nH322XzyySeUK1eOAw88kIyMDPr27UunTp2YPXv2Pz7G999/T//+/f/2+6pnz568+OKLlC1blv32248xY8Zw2WWXsXTp0vXu+8YbbzB58mSuueaahH2v1qlTh5YtW9KyZUsOOeQQ6taty+TJk+nVqxenn346t9566wZrV8lRt27EQQdCCNDDs4MkSdImmjM38N778fjss8xl2nxmuA2rU6cOrVu3NsMp4U5oBQ12g6VL4amnzYrS/0pPdAFSqnu5R2DVqvjKs333SXQ1Ki5WrFjBLbfcwooVK+jatSvnnnsuACEEnnjiCV555RXuuusuHn300Y0+Rk5ODvfeey9169albNmyjB49er375Obm0qtXL3bZZRe6detGRkYGH330Ebfddhtvv/02HTt2XHvfuXPn8sILL3DyySdTv379gv+kN1GjRo245ZZb1rkthMCwYcN46KGH+Pjjj5k9ezaPP/446en+GiupOp8ZMXRYfPjzWWcGtqvjH3QkSdLf6/1qYOUq2HOPOJ9Jm8MMt3GNGjXi3nvvZf78+WtvM8MpEUqVirj6Cjj3wsAnA6HV8YG99zIrSmu4MkgqRNOmBT74MB6f66og/ZfPPvuMefPmscMOO9C1a9e1t0dRxIUXXkjNmjX5+uuvN7oVAMCLL77ItGnTuO666zY6oZ4xYwaLFy+mRYsWZGRkAHD00UeTmZnJhAkT1rnvk08+SXp6Oueff34BfIYFK4oiDjroILp168a2227LiBEjePPNNxNdlhJot90iDtgf8vOhR0+v+JIkSX9v7tyw9gyJs88ym2nzmeE2jxlOibLbbhEnnxSPH/pPYNUq86K0hs0gqRC9+FIgLx+aN4NGexo29Jeff/4ZgCZNmpCWtu5LcXp6Oo0aNQJgyJAhG3z/X375hVdeeYVWrVrRpEmTjX6cxYsXA1C+fPm1t6WlpVG2bNm1bwMYNWoUH374IRdeeCEVK1bcos+pKGyzzTZrr8B74403ElyNEq3L6u1dPhkQN98lSZI2pnefwMqVsHtD2G/fRFejZGSG2zJmOCXCuV0jKleGKVPhNb/tpLVsBkmF5NdfAwM+jcfndrURpHUtX74cWHeC/9/WTOY3dFVZfn4+9957L+XLl+eSSy75249To0YNAKZOnbr2tkWLFrFgwQKqV6++9vEefPBBdtttN0488cTN/2SK2JFHHklaWhrTpk3bpD25lbp22y3igOaQlw8vuzpIkiRtxLx5f60K6tLZVUHaMma4LWeGU1GrUD7i4gvj1/qXegRmzTIvSmAzSCo0L3QPhACHHQL1dzVsaF2VKlUCYNasWRt8+4wZMzb69r59+zJmzBguvfTSf7wCrEqVKtSvX5/333+fkSNHsmjRIh599FHy8/M58MADAXjrrbeYOHEi11xzzXpXuBVHZcuWpVatWgBMnjw5wdUo0c7u7OogSZL093r3CeTkQMMG0HS/RFejZGWG23JmOCXCMS2gSWNYsQIefcKsKAF4aptUCMaPDwz5AqIIunaxEaT17bXXXrz88ssMHz6cBQsWrA0WALNnz+bbb78FYNmyZeu83+zZs3nmmWfYe++9admy5SZ9rMsuu4wrrriCCy64YO1tBxxwAAcddBALFy7kueeeo1WrVuy+++5r356Tk0Pp0qW3OFg0b958i95vU1WqVIlp06axaNGiQv04Kv4a7Baxf/PAl19Bj16Bf93ga64kSfrLvHmBfu/EY1cFaWuY4baOGU5FLYoirroczj438MVQGDY8cOAB/g5QyWYzSCoEz3WLrzg4ugXstKO/aLS+Zs2aUb9+fX7++WeuvPJKrrnmGnbaaScmTZrEvffeS25uLsB6YfWBBx5g1apVXHfddZv8sfbZZx9efvllPvzwQ5YsWcLuu+/OscceC8BTTz0FwMUXXwzAt99+y8MPP8zkyZPJzMzkuOOO48orryQzM3OzPr+/CznTpk1j1KhRm/V4/yuE+GfMMC+ID4H+8qvAx5/AWWcGatf2+0KSJMVefS1eFdSgATRrmuhqlMzMcGY4JZ+6dSNObRfo3QcefDjQuBGUK+f3oEoum0FSAftxVOCbb6FUqb8ON5f+VxRF3HvvvVx99dWMGzeOrl27rn3bNttswznnnMOzzz5LhQoV1t4+aNAgvvjiC7p06cKOO+64WR+vbt26a8PCGuPGjaN///5cddVVVKpUidmzZ3PNNddQr1497rnnHiZPnky3bt3Iysriiiuu2KyPd8stt2z0be+9995WB4mFCxcCrPP1UcnVsMFfq4Ne6hG46UZfeyVJEsyfH3jr7Xjc5SxXBWnrmOHMcEpOXTpHDPkiMG06PPFU4Ibr/F2gkstmkFSAQgg8/Wx8tcvxLfHqdP2tmjVr0qNHDwYPHszo0aPJyclhp5124phjjuHzzz8HYKeddlp7/6FDhwLwzTffMGLEiHUea80hpQ8//DBly5bl+OOPp1WrVhv92CEEHnjgAXbeeWdat24NwJtvvsnKlSu58847qVWrFocffjjTpk3jzTff5IILLiArK6sgP/0ttnTpUqZPnw6s+/VRydal8+rVQQPg9A7BVZmSJOmvVUG7QfNmia5GqcAMt2XMcEqkrKyIG6+HSy4PvPcBHH5YoFlT86JKJptBUgH6fDCMGQtZWfEfJqV/kp6ezpFHHsmRRx65zu2jR48GYO+9917vfcaMGbPRx5swYcJG3++/9e/fn3HjxvHMM89QqlQpAH777TcqVaq09mBPgIYNG/LBBx/w+++/s8suu2zaJ1XIBg4cSAiB7bffnm233TbR5aiYaLBbxCEHx+e1Pd8tcPe/fQ2WJKkkmzs3f+2qoLNdFaQCZIbbfGY4JVrjRhFt2wTeeBPueyDQ8yUoW9bfCyp5bAZJBWTVqsCzz8ergjqcClWr+EtFW2bu3LkMGjSIihUrcthhh629/ZZbbtno0v0LL7yQESNG8Mwzz9CkSZO/ffzFixfz9NNPc9xxx9G4ceN13paTk7POv1esWAGwxYeQFrR58+bx/PPPA9C+ffsEV6Pi5tyuEUOHxQ2hn8YFGjbwdViSpJLqpR7LWbECdqsP+zdPdDVKdWa4jTPDqbg475yIYV8GZsyAJ58JXHe1eVElT/H4zSClgHf6w7TpULkydDjVXyj6Z5MmTVpv4j579myuvfZali1bxmWXXVYoy/qfffZZVq5cud7+03Xr1mXZsmUMGTIEgNzcXAYNGkRGRga1a9cu8Do2RwiB4cOH07VrV+bMmcO+++7LySefnNCaVPzstGPEsUfH4zXNeUmSVPLMXxB4tU/8B3FXBakgmeE2nRlOxU2ZMhE3rj4v6N3+8O13ZkaVPK4MkgrAkiWB7i/Fv0S6do7IzjZs6J+98sorDB48mPr161O1alXmzZvHqFGjWLlyJV26dOH4448v8I85ceJE+vXrx6WXXkqVKlXWeVvbtm157bXXuPnmm2nWrBnTpk1j8uTJdOrUqUj3mh41ahR33HEHEIeZhQsX8vPPP7NgwQIAjjvuOK655hrS0/0VpvV16Rwx4NPA9z/Ek/v99vX1WJKkkqbPa4HlK6D+rnDA/omuRqnEDLdho0aN4oYbbiAnJ8cMp2JtryYRp7QOvNkP7r438OILULmSmVElh6/C0v+3d+dxNpb/H8df12wYY+z7vg0iS2RNRIvIt/JT0kaUItKC7Pteka2SpEgplVYkQqJBKLJkzTJ2hpkxzHr9/ribyWSb5cycOTPv5+MxD2fu+5z7XMdnrnNfn/tz39ftAh99bDkfBmXLwH2uH/tJFtWsWTPOnj3Lnj172Lp1K3ny5KFhw4Z06NCBunXrpst7vvHGG5QrV4727dtfsa5gwYK8+eabTJs2jeDgYAICAnjsscfo1q1burTlWo4cOcKRI0cAyJEjB3ny5KF8+fJUr16d1q1bU6FChQxtj3iWYsUMD/zPmQt65ixLvbrobGAREZFs5Nw5y5eLnMdPddZVQeJayuGuTjmceJJnnzFs/M1y6DCMGmN5bTx4e2tfIdmDsdYm65q40NDQ9G7LdeXPn9/tbZCM5SkxP3HS0vFxS3Q0jB9juK2JdiCp5SkxF9dS3LOf9I55aKjl4Y7OGcGjRxiaN9P3cmagvp79ZHTM8+fPn+ZtpGd71Qc8l2LnWd6eGc/8T+Cmat7MfCtexSAPpD7nmRQ3z5UdY7d/v+WZ7paoKOj6lOGpTp65r8iOscsK0hK3tOY8umeQSBq9N9spBNWqCU0au7s1IiKSP7+hwz/3pn33PUtsrOaCFhERyQ5On7F8/qXzuPtz/ioEiYjIVVWoYOjzsrOPeP8Dq/sHSbahYpBIGuzZa1m6zHn8fHdNQSAikll07GDIGwiHDsM337m7NSIiIpIRPpjrnOVd/Sa4o5mvu5sjIiKZ2L33GNreB9bCiFGWkydVEJKsT8UgkTR4e6bFWmh5B9xUTYUgEZHMInduQ5en/jnTa44lPFwDexERkawsJMTy7T8ngDzXTSfqiYjIjb3Yy1C5Epw7D8NGWmJilDdK1qZikEgq/bresmEj+PhAt2eUaIiIZDb3t4VyZZ2B/dyPNKgXERHJyt6bY4mLgwb1oU5t5WciInJjOXIYRo8wBOSGbX/CpCkWa5U7StalYpBIKsTEWKZMc3YO/9cOSpZQsiEiktn4+Bie7+58P3/+pXPGsIiIiGQ9e/ZYflzuPH5WJ+qJiEgKlCxpGDbEYAx8+x0s/MLdLRJJPyoGiaTCZ5/DkSNQID906aRkQ0Qks2rYAG6tBzExztSeIiIikvW8/a6zj2/ZAoIqKz8TEZGUadTQ0OM5Z/8x/S1L8HrljpI1qRgkkkKnT1s+mOvsFLo/a8idW8mGiEhmZYyhZw+Dlxes+hk2/qZBvYiISFYSfPn03V2Vm4mISOo88jC0vhfi4537B/21W7mjZD0qBomk0FvvWC5ehOo3wT13u7s1IiJyIxUrGNo96DyeNMUSHa1BvYiISFYQG2uZ/razX2/fzpnqR0REJDWMMfR92VC7Fly4AK/0tRw8qNxRshYVg0RS4I+tlmXLwRh46QWDl5eSDRERT9C1s6FAfjh8GD5d6O7WiIiIiCt89z38/TfkDYROTyg3ExGRtPH1NUwYa6gSBOfOw4uvWI4dU0FIsg4Vg0SSKS7O8uZUZwdwX2uoWlXJhoiIp8iTx9Cju/O9/eE8y/ETGtCLiIh4sogIy3tznP15l86GPHmUn4mISNrlzm14Y6KhXFk4dRpe6mM5c0b5o2QNKgaJJNM338GevRAQAN2eUaIhIuJp7rkLatWES5dg2gwN5kVERDzZvPmWc+egbBm4/3/ubo2IiGQl+fIZJr9uKF4MjoTAy30tYWHKIcXzqRgkkgynz1hmvut86T/dxZA/n4pBIiKexhjDyy8avL1g9c/ODadFRETE8xw9Zvnsc+fx890NPj7Kz0RExLUKFza8+YahYEHYtx96v2w5f145pHg2FYNEkmHKNEvEBahaBR68392tERGR1KpYwdD+/5zHb061REVpMC8iIuJp3nnXEhMD9epCo4bubo2IiGRVJUs6BaH8+Z3Zgl542RJ6TjmkeC4Vg0RuYN2vlpWrwNsL+vUxeHvrrDMREU/WpbNzdteREGeKGREREfEcmzZbfloJXl7OVUHGKD8TEZH0U76cYdqbhoIFYN8+eOFFy9mzyiPFM6kYJHIdkZGWN950vuAffgiCKivREBHxdLlzG17s5Xyfz5sP+/ZrIC8iIuIJYmIsk/7Jzx68HypXUn4mIiLpr1xZpyBUqBAc+BteeMly5ozySPE8KgaJXMfsOZYTJ6BYUedMchERyRqaN4OmTSAuDia8ZomL00BeREQks1vwGRw8BAXyO/dyFRERyShlyjgFocKF4O+D0OtFy+nTyiPFs6gYJHINu/6yLPzCefzKy4ZcuZRsiIhkFcYYXn7RkDs37NgJX37l7haJiIjI9Rw/bvlwnnPQrUd3Q548ys9ERCRjlS5lmD7FUKQIHDoMPV+0nDipgpB4DhWDRK4iNtYy8Q1LfDy0bAGNGijREBHJagoXNnTv5ny/vzvLcvyEBvEiIiKZ1ZTplkuXoHYtuOcud7dGRESyq5IlnYJQsaJw5Ag838sSEqJcUjyDikEiV/HRx7B7N+TJAy88r0KQiEhW9b+2UPNmuHgJ3phssVaDeBERkczm12DLml/A2xte7m0wRjmaiIi4T4nihulTDaVKwfET0OMFy4G/lUtK5qdikMh/7N1n+WCu8wX+0guGggWVaIiIZFVeXoZX+xh8feHXYPhxubtbJCIiIpeLirJMnurkZw+3hwoVlJ+JiIj7FStqmDHFUKE8nDkDvXpb/tqtgpBkbioGiVwmNtYyZpwlNhaa3gZ33enuFomISHorW9bQ6QnnwNLkqZbTZzSAFxERySxmf2A5ehQKF4KnOqkQJCIimUfBgoZpbxqqVoFz56H3S5ZtfyqflMxLxSCRy8z9CPbshbyB0PdlTT8gIpJdPP4oBAVBeDhMfF3TxYmIiGQGO3dZFnzqPH7lJYO/v/IzERHJXPLmNUyZZKhVEyIuwMt9LL9tUj4pmZOKQSL/2L3H8uG8f6aH620oUECJhohIduHjYxg8wJkubt2vsHipu1skIiKSvUVHW8aOt8THOzM23NZE+ZmIiGROuXMb3phoqH+rcz/afv0tv6xTQUgyHxWDRICYGMuY8Za4OGh+O7Rs4e4WiYhIRqtQ3tD1KedA09TplhMnNXgXERFxl3nzLQf+hnz5oHdPFYJERCRzy5nTMH6MoeltEB0Dg4ZYlq9QTimZi4pBIsB771v27YN8eZ3pBzQ9nIhI9tSxA1S/CS5cgHETNF2ciIiIO+z6yzL3I+fxyy8a8uVTfiYiIpmfn59h1HDD3XdCXByMGG35+lvllJJ5qBgk2d7mLZaPFziP+/Yx5M+vRENEJLvy9jYMGmDIkQN+2wRffePuFomIiGQvly5ZRo7+Z9aGZnBHM3e3SEREJPl8fAyDBxoeuB+shdfesHz0sQpCkjmoGCTZWli4ZfQ4i7VwX2to1lSFIBGR7K5MacNz3Zz9wYy3LYcOa+AuIiKSUaa/ZTl0GAoVgr4va9YGERHxPF5ehldeNDzxmPP7O+9a3nk3XjNPiNupGCTZlrWWNyZbTp6EUiXhBc1DLSIi//i/B6HuLXDpEowcbYmN1aBdREQkvf2y1iZelTt4gCFvXuVoIiLimYwxPPuMF92fdfZlH30Mb0y2xMcrtxT3UTFIsq1lP8KKn8DbC4YMMvj7K9EQERGHl5dhUH9Dnjyw6y+Y/YEG7CIiIunpzBnL+InO/vaRh6FeXeVnIiLi+R7raOj7isEYZxrykWN0sqG4j4pBki0dO2aZNMX54n2qs6H6TUo0REQkqSJFDK/2+ecsrvnw+x8asIuIiKQHay1jJ1jOnYdKFaHb08rPREQk67i/rWH4EIO3NyxfAQMHW6KilF9KxlMxSLKd2FjLiNGWCxfg5hrw+KPubpGIiGRWzZsZ2rR2bvw5cowlPFwDdhEREVf7YhGs3wB+fjB0sMHPT8UgERHJWlq2MIwfa8iRA9YFwyv9LBcuKL+UjKVikGQ7s2Zb/twOuXM708P5+CjREBGRa+vd01CyBJw8Ca9Ptrrpp4iIiAvtP2B5621n3/r8c4YK5ZWfiYhI1tSogWHSa4bcueH3P6DXS5bQc8ovJeOoGCTZSvB6y/xPnMcD+hlKFFeiISIi1+fvbxg62ODt5dxrbtmP7m6RiIhI1nDpkmXEKEt0DDRsAO0edHeLRERE0letmoapkw358sLu3dDzBcvxEyoIScZQMUiyjdOnLaPHOl+u7R5wpv4RERFJjuo3GZ7q7Ow33njTcvSYBusiIiJpYa3l9cmWffshf37nZD1jlKOJiEjWVyXIMGOqoUhhOHgInnnOsnWbckxJfyoGSbYQG2sZPsq5IWnlSvB8dyUZIiKSMk885txrLjISRo2xxMZqsC4iIpJaX38LS38ALy8YMdRQsKByNBERyT7KljW8Nd1QqSKEhsILL1m+/U45pqQvFYMkW/hwnuX3PyBXLhgxzJAjhxINERFJGW9vw9BBzvzO2/6Ejz52d4tEREQ8085dlinTnANezz5juKWO8jMREcl+ihU1vD3dcEdziI2FCa9bJr0ZrxMPJd2oGCRZ3qbNlg/mOo/7vmIoU1qJhoiIpE7x4oZXXnT2I3M+sGz7U4N0ERGRlAgNtQwaaomJgdubwqOPuLtFIiIi7pMrl2HkMMPTXZw888uvnKuENDW5pAcVgyRLO3vWMnK0xVpo2wbuvlOFIBERSZu77zLcfSfExcPwUZawMA3SRUREkiM21jJkuOXkSShdGga+qvsEiYiIGGPo/KRh3GiDvz9s3Qaduli+X2KxVvmmuI6KQZJlxcdbRo21nDkL5ctB715KMkRExDX6vGwoVRJOnIBxEzVAFxERSY7pbznTd/v7w/jRhoAA5WgiIiIJmt5mmPOeoebNcPEijJtg6TfAEhKifFNcQ8UgybLmzYeNv0GOHDByuCFnTiUaIiLiGv7+hhHDDL6+sOYX+GKRu1skIiKSuS1eYvn8S+fx0EGGsmWVn4mIiPxXyRKGaW8anutm8PGBX4Phic6W996P5+JFFYUkbVQMkixp42+W2XOcL8iXehvKl1OiISIirlUlyNDjOWf/MuNty1+7NTAXERG5mp27LK9PcvaTT3WC25ooPxMREbkWb2/D448a5r5vqH8rRMfAB3Ph4UctCz6zXLqk3FNSR8UgyXKOHbMMG2mJj4f7WkObe93dIhERyarat4OmTSAmBoaNsERGalAuIiJyubNnLYOGWKJj4LYm8FQnFYJERESSo0wZwxsTDWNGGooXh9BQZ8rVhztaPphrOXMm3t1NFA+jYpBkKVFRlkFDLWFhUK2qc1WQbkgqIiLpxRjDgFcNRYvCkRB4bZLuHyQiIpIgNtYydITl5CkoUxqGDDR4eSk/ExERSS5jDM1uN3wyz9C/r6F4MTgbCu+9b2l5Tyijx8Xzx1bloZI8KgZJlmGtZeIblt17IF8+GD3SkCOHEg0REUlfgYGG4UMM3l7w43L4fom7WyQiIpI5TJth+f0P8PeHcaMNuXMrPxMREUkNHx/DfW0MH88zDBloqFbVmaFi6Q/w/AuWjk9Y5s23nD6topBcm4pBkmV8uQh+WAbeXjBymKFoESUaIiKSMW6uYXi6q7PfmTzFcuBvDcBFRCR7W7zE8sUi5/HQQYayZZWfiYiIpJWvr+Geuw2z3vHik3mBtG4FuXLCkSMwc5al3cOWvv3jWbXaEhOjvFSSUjFIsoQ/tlqmznC+4Lo/Z7iljhINERHJWI91hFvrQVSUc/+gqCgNvEVEJHv6a7fl9UnOfrBLZ8NtTZSfiYiIuFrNmr4M7O/F118a+vcz1LwZ4uPh12AYPMzyYHvLlGnx7N2n3FQcKgaJxzt92jJkmCUuDlq2gA4PubtFIiKSHXl5OZfrF8gP+w/AlOkacIuISPYTFm4ZPMwSHQONG0HnJ93dIhERkazN399wX2vDW9O8+Hie4fFHoWBBOHceFn4BnbtaunaLZ9mPlrg45anZmYpB4tFiYpxE42woVKwA/fsajNFZZyIi4h4FChiGDDIYA998Cyt+0kBbRESyD2stY8dbjh2D4sVg8ECDl5fyMxERkYxSprThuW5efPGp4bXxhua3g48P/LUbRo6xdOpq2bxFeWp2pWKQeLQp0yx/boeAABg7ypArlxINERFxr1vrGZ54zHk84XVLSIgG2iIikj188in8shZ8fWHUCENgHuVnIiIi7uDjY2jU0DB6pBdffW54pqshMBD+/hteeMkybEQ8p04pV81uVAwSj/XdYstX34AxMGywoWRJJRoiIpI5dOnszNccGQlDR1iiozXIFhGRrO33Pywz33X2d717GapWUX4mIiKSGeTLZ+j0hGHBfEO7B8DLC1ashCe7WFb/rFw1O1ExSDzSrl2WSZOdL6uuTzmVbhERkczCx8cwbIhz5tVfu2HG2xpgi4hI1nXmjGXYCEtcPNxzF9zf1t0tEhERkf8KzGN4+UUv3ptpqFoFwsNh0FDLhNfjuXRJOWt2oGKQeJzQc5aBQ50bkt7WBJ583N0tEhERuVLRIobBA5yTFb5YBD+u0OBaRESynthYy4jRljNnoXw56POy7uMqIiKSmQVVNrwzw/D4o86MS99+B917Wk6fUc6a1akYJB4lNtYyfKTl5EkoXRoGD9ANSUVEJPNq3MgknrQw4TXLgb81uBYRkaxl9geWzVsgVy4YPUL3cRUREfEEPj6G57p58eYbhvz5Yc9eeK6H5eBB5axZmYpB4lFmzrJs2gy5csLYUYaAACUaIiKSuXV9ylD3Frh0CQYPtURGanAtIiJZw7pfLfM+ch7372soW1b5mYiIiCepe4tzlVCpUnD8BHTvZflzu3LWrErFIPEYK36yfPKp83hgf0P5cko0REQk8/P2NgwfYihcCA4ecq4QslaDaxER8WzHjllGjXX2Z+3bQcsWys9EREQ8UckShrenG26qBmFh8HJfy/YdylmzIhWDxCPs228ZN9H5EnqsI9zRXImGiIh4jvz5DSOHG7y9YcVK5x5CIiIinio62jJkuCU8HG6qBs93V34mIiLiyfLnM0yZZLilDkRGOgWhnbtUEMpqVAySTC883DJwsOXSJahXF57pqkRDREQ8z801DM8/5+zDpr+lS+9FRMRzzXjbsusvCAyEkcMNvr7K0URERDxdrlyGCWMNtWrChQvwUh/L7j3KW7MSFYMkU4uPt4wcYwk5CsWKwvAhBh8fJRoiIuKZHmoPdzSH2FgYOtwSek4DaxER8SzrN9jEK1yHDDIUK6r8TEREJKvIlcvw2njDzTUgIgL69rccP6G8NatQMUgytTkfWn4NBj8/GDPKkC+fEg0REfFcxhj69zWUKQ0nT8GIUZa4OA2sRUTEM4SFWcZO+Pc+QY0aKD8TERHJavz9nYJQhfJw5gz062+JiFDemhWoGCSZ1spV0cz50Hnc9xVDlSAlGiIi4vly5zaMHmnImRN+2wTvzdGgWkREPMMbky1nzkCZ0vBcN+VnIiIiWVVAgOG1CYaCBWH/ARg01BITo9zV06kYJJnSocOW/oMiAPi/B+Hee5RoiIhI1lGhvKFfH2ffNu8jWLlKg2oREcncflxhWbESvL2c6eFy5lSOJiIikpUVLeJcIZQrJ2zaDFOmK2/1dCoGSaYTGWkZOMS5/PDmGtCzh5IMERHJeu6+09DhYefx2PGWffs1sBYRkczp5EnLG5Od/VSnJw3VqipHExERyQ6CKhuGDzUYA199DYuXKG/1ZCoGSaZirTMH9d9/Q+HChlEjDL6+SjRERCRr6t7NUK8uXLwEAwZbwsI0sBYRkcwlPt4ybqIlIgKqVYUnH3d3i0RERCQjNWls6NLZOT77+iTLrr+Ut3oqFYMkU/nkU1i1Gnx8YPLreShUUIUgERHJunx8DCOGGooXh6NHYdhIS2ysBtYiIpJ5LPoKNv4GOXLAkIEGHx/laCIiItlNpyegcSOIjnHuH3TunPJWT6RikGQaG3+zvPOu80XSu5ehTm1fN7dIREQk/eXNaxg32pAzp3OwbeYsDapFRCRzOHTI8tZMZ7/U41lDmTIqBImIiGRHXl6GIQMNpUrCiRMwdoLFWuWunkbFIMkUjh+3DB9piY+H1vfCA/9zd4tEREQyTqWKhoH9nQNsn3wKy5ZrUC0iIu4VG2sZNdYSFQW31oMHH3B3i0RERMSd8uQxjBpu8POFdb/Cwi/c3SJJKRWDxO2ioiwDh1rOh0GVIHjlRYMxOuNMRESylxbNDU885jweP9Hy124VhERExH0+nGfZuQsCAmDgqwYvL+VoIiIi2V3lyobnezhjgrfe0f2DPI2KQeJW1lpen2TZvRvy5YUxoww5cijJEBGR7OnpLoaGDSA6GgYOsYRqHmYREXGDHTstc+c5j195yVC4sHI0ERERcbR7AJreBrGxMHykJTJSeaunUDFI3GrR17DkB/DyghHDDMWKKskQEZHsy9vbMGywoVQpZx7mwUMt0dEaWIuISMa5dMmZHi4uHlreAXe1VI4mIiIi/zLGMKCfoUgROBICr0/S/YM8hYpB4jZbt1mmTHO+KJ7rZqh7i5IMERGRPHkM48cYcueGP7bCxDc0sBYRkYzz9kzL4cNQqJBzVZCIiIjIfwUGGoYPMXh7wbLlsPQHd7dIkkPFIHGL02csQ4ZZ4uKgxR3QsYO7WyQiIpJ5lCvr3JjT28sZVM/9yN0tEhGR7GDjb5YvFjmPB/QzBAaqGCQiIiJXV/NmQ5ennLHCpDctR47oJMbMTsUgyXAxMU4h6MxZqFAe+vc1GKMkQ0RE5HL1bzW82NvZP86abVmxUgNrERFJP2HhlrHjnX1NuwegQX3laCIiInJ9jz8KtWvBxUswYrQlNlZ5a2amYpBkuKkzLNv+hIDcMGaUwd9fSYaIiMjVPHi/4eH2zuMx4yzbd2hgLSIi6WPKVMup01CqFPR4TjmaiIiI3Ji3t2HIIEOePLBzF8yeo5w1M1MxSDLU4iWWRV85j4cMMpQupSRDRETkep7vbmjcCKKjof8gy7FjGlyLiIhrrVpt+eFH8PKCwQMMOXMqTxMREZHkKVrE0O8VZ+zw0ceweYty1sxKxSDJMLv+srw+yfky6NLZ0KSxEgwREZEb8fZ2bsxZqSKEhkK/AZaICA2uRUTENc6etbz2hrNfeawj1KiuPE1ERERS5o7mhvtag7UwaowlLEw5a2akYpBkiHPnLIOGWqJjoHEj6Pyku1skIiLiOfz9DRPGGQoWhAN/w9ARmotZRETSzlrLxDcs58OgUkXnpD0RERGR1Hihp6F0aTh1Gia8brFWOWtmo2KQpLvYWMuwkZYTJ6BUSRgy0ODlpSRDREQkJYoWMUwYa8iRAzZshCnTNbgWEZG0WbIUflkLPj4weKDB11d5moiIiKSOv79h2GCDjw+s/hm++97dLZL/UjFI0t2771k2bYZcOWHsKEOePEowREREUqNqFcPQwQZjYNFX8PECd7dIREQ81fETlinTnZMKuj5lqFRReZqIiIikTdUqhm5PO2OKKdMthw7pBMbMRMUgSVc/rbKJB6r6v2qoUEEJhoiISFo0a2ro2cPZn7490/LDMg2uRUQkZeLjLeMmWC5cgBrV4dFH3N0iERERySoeeRjq3gKXLsHwUZboaOWsmYWKQZJu9u+3jBvvdPZHH4GWd6gQJCIi4godHjJ0eNh5PHaCZeNvGlyLiEjyff4lbNoMOXPCoAEGb2/laiIiIuIaXl6GwQMMeQNh9x6YNVv5amahYpCki/Bwy8ChlouXnEpwwuWBIiIi4hrPP2doeQfExcGgoZY9ezTAFhGRG9uz1/L2TGef0f1ZQ+lSytVERETEtQoXNvTv54wxPvkUncCYSagYJC4XH28ZNdZy5AgULQrDhxp8fJRgiIiIuJKXl2HQAEOd2hAZCX1etRw/rgG2iIhc28WLluEjLTEx0KQxtHvA3S0SERGRrKrpbYYH/uc8Hj3Ocu6c8lV3UzFIXO7DebDuV/DzhTEjDfnzqRAkIiKSHvz8DGNHGSqUhzNn4ZV+lrAwDbBFROTqpkyzHDwEhQrBgH4GY5SriYiISPrp2cNQriycOQPjX7NYq3zVnVQMEpdau87y/gdOp+7zsqFqFSUXIiIi6SlPHsPrEwxFCsPBQ9BvgOXiRQ2wRUQkqRU/Wb5bDMbA0EGGfDppT0RERNJZzpyGYUMMvr7wy1r46ht3tyh7UzFIXObgQcvIMRZr4YH7ofW9Si5EREQyQpEiTkEoIAD+3O7cQyg6WgUhERFxHD1mmfiGs1944jG4pY5yNREREckYlSsZundzxh7TZlgO/K1c1V1UDBKXCA+39B9suXABatWE3j2VXIiIiGSkChWcglDOnLBhI4wcY4mL0yBbRCS7i4mxjBjl5Go1qkOXzsrVREREJGO1/z+ofytER8PwUZaoKOWq7qBikKRZXJxlxGjL4cNQpAiMHmHw9VWCISIiktFqVDeMG+1cgr9qNbz2huZkFhHJ7qbOsGzfAQG5Ydhgg4+PcjURERHJWF5ehkH9Dfnywb59MHOW8lR38HF3A8TzzZptCV4PPt67aNJgI+PH72DHjh2cOnUKgODg4FRve/369Xz66afs2LGD8PBwcufOTdWqVWnXrh3Nmzd30ScQERHJPI4dO8aaNWtYt24du3fv5vz58wQEBFCtWjXatWvH7bffft3X31rPMHwIDBnu3BsiImITy5f1vObzq1evzuzZs139MURE5CouXbrE3Llz+fHHHzlx4gSBgYE0bNiQbt26UaRIkWRv57vvvmP06NE3fN4DDw7huyX3AjB0sGHTpu8JDg5mz549hIaGEhkZSb58+bj55pt55JFHqFWrVqo/m4iIiKSf/fv3895777F582YuXrxIqVKlePjhh2nbti1eXim73iMuLo4vvviC77//noMHD+Lt7U3lypXp0KEDd9xxR7K2cejQIZ544gmioqKoV68e06dPv+FrChY0DHzVuc/tZ59D/VstDRvoJJWMpGKQpMmPKywffew8LlfmAxYu/Nll2/7ggw8YN24cxhhq1KhB0aJFOXHiBBs3bmTDhg106tSJ7t27u+z9REREMoNhw4axdetW/Pz8qF69OgULFuTo0aMEBwcTHBzMI488wosvvnjdbTS73fBqXxg3wfLTSmdZqVKlqFmz5hXPLVWqVDp8ChER+a+oqCh69uzJn3/+SaFChWjatCnHjh3ju+++Y+3atbz33nuULFkyWdsqVaoUrVu3vuq6CxcusHr1agCW/uh87z/VCRo3MnTu/Dl79uyhYsWK1KxZkxw5cnDw4EFWrlzJqlWr6Nu3L+3atXPNBxYRERGX2LZtGz179iQqKoqbbrqJ4sWL8/vvvzNu3Dg2bNjA6NGjMSZ5RZW4uDj69evH2rVr8ff3p1atWsTHx7Nt2zYGDBhA165deeaZZ264nfHjxxMdHZ3iz9K4kaF9O8vnX8KY8ZYPZ0OBAioIZRQVgyTVdu+xjJ/oXNL3aEcIyFWDxo0qUa1aNW666SYefPDBVH0pAISGhvLGG2/g4+PD1KlTueWWWxLXbdmyhd69ezN37lz+97//JTthEhER8QRFihThlVdeoXXr1uTOnTtx+dq1a+nXrx8LFiygUaNGNGjQ4LrbaXOvISICpkx1fs+btyZDhw5Nz6aLiMh1zJkzhz///JObb76ZKVOm4O/vD8DHH3/M1KlTGT16NG+//XaytlW7dm1q16591XVffPEFq1evxi9HTWJjS9KoITzVyTnI0qdPH8qXL59k/wLw888/M2DAAKZMmUKLFi3Ily9fqj+niIiIuE5sbCzDhg0jKiqK3r1707FjRwAiIyN55ZVXWLFiBY0aNeK+++5L1vYWLFjA2rVrKV68ONOmTUs8OfDvv/+mV69ezJ49m4YNG3LzzTdfcxvffPMNmzdv5oEHHuCrr75K8Wfq/qxh8xbL/gMwdoJl4jhnGjlJf7pnkKTK2bOWAYMtUVHQoD48+7ThySefpFu3bjRt2pSCBQumafvbt28nOjqaevXqJSkEAdSpU4cGDRpgrWXnzp1peh8REZHMZvTo0Tz00ENXHKhr0qQJbdu2BWDZsmXJ2laHhwz3tnIe79gJX36leZlFRNwhJiaGzz//HHAKMgmFIIBHH32USpUqsWXLFnbt2pXm91q6dCkAsXGtKFEChgwyiQdYatSoccX+BeD222+nTp06REVFsXXr1jS3QURERFxj1apVHD16lMqVKycWggD8/f0ZMmQIAJ988kmyt7do0SIAnnvuuSSzRJQrV46uXbsC8NFHH13z9WfOnGH69OnUr1+fu+66K0WfJUGOHIbhQwx+vhC8HubNT9VmJBVUDJIUu3TJ8uogy4kTUKoUDB9i8PZ2bfXW19c3Wc/LmzevS99XREQkM6tUqRIAp0+fTvZrWrf6dx896U3L19+qICQiktG2bt1KREQEpUqVokqVKlesb9GiBQBr1qxJ0/uEhISwbds2wJec/i0YM9IQmCd5uZqPjzNxSHJzMREREUl/69atA7jqvXyqV69OyZIl2bdvH0ePHr3htiIiIjhy5AjAFSffA9StWxdw7v9+rdmeJk+eTFRUFH379k32Z7iaChUML7/ojFHee98SvF55akZQMUhSJC7OMmK0ZedOCAyEieMMeZKZXKRE9erVCQwM5LfffmPz5s1J1m3ZsoX169dTunTpa06NICIikhUlDPBTcwVuoYKHiYt5m/Hjx/HyK2+xbt064uPjXd1EERG5ij179gBctRB0+fK9e/em6X0mvuZcFWS8GjNoQF4qV0perrZx40Y2bdpEYGAgNWrUSFMbRERExHUSxhBVq1a96vqUjCEuXryY+DhPnjxXrE846T4qKopDhw5dsX7dunUsX76cTp06Ubp06Rs3/gbua2O4vy1YCyNGW0KOqiCU3nTPIEmRGW9b1vwCvr4wbrShTOn0mc8xICCAMWPG8Morr/D8889z8803U6RIEU6ePMm2bduoWbMmw4YN01lrIiKSbYSHh7NkyRIAmjZtmuLXnzq1DdgGwLq1sG7tXCpWrMi4ceMoU6aMK5sqIiL/cfz4cQAKFy581fVFihRJ8rzUWPajZf36HwC4775WtLzj2rnad999x+bNm4mOjiYkJISdO3cSEBDAyJEjr3pwSERERNzjxIkTgGvGEIGBgXh7exMXF8fx48cpV65ckvWXX110/PjxxJkpwCkkTZw4kbJly/LEE0+k9GNcU+9ehj17LTt2wqAhlndmQM6cun9QetGVQZJsC7+wfOZMc82g/oZaNdO3Y959991MnjyZvHnzsnXrVpYvX87WrVvx9/enQYMG1/wSFBERyYomTJhAaGgoNWrUoHnz5sl+XUBAAI899hjvvfceS5cu5f4Hl+LlOxVMdfbt20fv3r2JiIhIv4aLiEjimbg5c+a86vqE5ZGRkana/q/BltFjt4M9hJ9fIP363nbd5//xxx8sXryY5cuXs3PnTgIDAxk0aBANGzZM1fuLiIhI+kgYG7hiDJEjRw6qVasGwPfff3/F+u++++6K900wc+ZMjh8/Tr9+/Vx6cr6fn2H0CEP+/LB3H0x43WKtrhBKLyoGSbKsXmOZOt3piM8+Y7izZfpXaN9//3169epF7dq1+eijj1i5ciUfffQR9erV491336V///7p3gYREZHMYO7cuSxfvpzAwEBGjBiBMcnfD1epUoVevXpRo0YN8uXLR/9+eXmkQz28/d4BU4tjx44l3tRcREQ8z6bNlkFDLDHRzhRxbdq0vOFBmkGDBhEcHMxPP/3EBx98wK233sqAAQMYN25cRjRZRERE3OTJJ58E4OOPP2b+/PmcOXOGU6dOMWfOHBYtWoS3tzdAkpxz586dfPbZZ7Ru3TrxvkKuVKSIYdRwg7cX/LgcFnzm8reQf6gYJDcUvN4yfKTFWmh7Hzz+aPq/56ZNm5gwYQKVK1dm7NixVKpUiVy5clGpUiXGjh1LUFAQa9euTbyJmoiISFa1ZMkS3n77bXLlysWkSZMoWbJkmrZnjKHX84anu/jg5fM4AF9+uZ74eJ19JSKSXnLlygXApUuXrro+Ybm/v3+KtrvtT0v/gZao6Fh8vFYAcO+99yb79f7+/lStWpUxY8bQtGlTvv76a3766acUtUFERETST8LYwFVjiNtvv53nn38egGnTptGmTRvatm3LzJkzadu2beI9iAIDAwGIjY1l3LhxBAQE0KtXrzR9luupXcvQ83mnAPXWO5a165SfpgfdM0iua9Nmy8AhlpgYaH47vPKiSdHZyKm1dKlzVluzZs3w8kpas/T29qZ58+bs3r2b33//ncaNG6d7e0RERNzhl19+YfTo0fj4+DB+/HiX3dTbGMNTnSA6ugxzZsPJU2cYP9HSrw/4+Gh+ZhERVytWrBgAp06duur6kydPJnlecmz709LnVcvFS1C54gZ27QilZMmS1KxZM1VtbNWqFWvWrGHNmjW0aNEiVdsQERER1ypatChhYWGcOnWKypUrX7E+NWOIJ554gmbNmrFy5UqOHTtG7ty5adKkCbfccgtt27YFoHz58onb3717NwULFmTgwIFJtpMw3fhff/1F9+7dAXj77bdT/iH/0b4dHPgbvvkWho+yvD0dKlVUfupKKgbJNW3dZnl1oCU6Gpo0hmFDTIYdIEr4IgsICLjq+ty5cwPOzbRFRESyos2bNzNo0CAARowYQYMGDVz+Hk0ahTNnNhhysngpnDxlGTUc8uTRgFtExJUSDt789ddfV12fsPzyGzVfz+YtllcHOIWg2rUgMPcP7NrhFHRSK1++fACEhoamehsiIiLiWpUrV2bPnj3s2rXrqifEp3QMkaBMmTJ06tQpybLjx49z6tQpSpUqRZEiRZKsO3PmDGfOnLnqtsLDw9myZUuK3v9qjDG83BtCQiybNsOrAy3vvgUFCyo/dRVNEydXtXOXc5bZpUtQ/1YYOczg65txHa9gwYIA7Nq16+rt27kTgOLFi2dYm0RERDLKrl276Nu3L9HR0QwYMCDdztBeuXIlALfWr0KunPDbJuje0xJyVJfki4i4Us2aNQkICODIkSPs3r37ivUJU7M1bdr0htvasPHfK4Lq1YWRwy6ybt0aAO65555Ut3Hz5s0AlCpVKtXbEBEREddKKAAl5G6X27FjByEhIVSsWJESJUqk+b0WLlwIwAMPPJC4rESJEgQHB1/1Z8aMGQDUq1cvcVla+fg49w8qVQpOnIA+r1oiIpSfuoqKQXKFPXstL/e1REZCndowdpQhR470KQQtXLiQDh068NZbbyVZfvvttwPwww8/8MsvvyRZ9/PPP7Ns2TK8vLxo1qxZurRLRETEXQ4ePMhLL73EhQsXeOmll7jvvvuS9bqePXvSoUMHtm/fnmT5ggULOHHiRJJl1loWLVrEggULMMbQo/v/8dY0Q+FC8PdBeLa7Zes2DbhFRFzF19eX9u3bA/Daa69x8eLFxHUff/wxe/fupU6dOlStWjXJ6/6bLy370dJvgDN7Q+OGMGGsITh4NZcuXaJGjRqUKVPmmm04cOAAy5cvJyYmJslyay0//vgjH330EcYYWrdu7aqPLSIiImnUvHlzSpQowZ49e/jkk08Sl1+8eJGRI0cC0LFjxyted6388OLFixw4cOCK5yfkh2XLluXhhx928adImcBAwxsTDPnzw569MGCwJSpK+akraJo4SWLvPstLr1jCw6FGdSe5yJkzeYWgtWvX8v777yf+npBkdO3aNXFZly5daNKkSeLv586d4+DBg5w+fTrJtpo1a0arVq1YunQpffr0oVq1apQoUYKjR48mXhX03HPPUbZs2VR/VhERkcxoyJAhhIaGkj9/fnbt2pU4wL9cuXLlePLJJ5MsO3LkCMePH7/ixqILFixg2rRpVKlSheLFixMdHc2+ffs4evQoXl5evPzyy4kHH2e941yK/9du6P2ypc/L0OZeXZIvIuIKTz31FBs3bmTbtm089NBD1KpVi+PHj7N9+3by58/P4MGDr3jN5fnSvPmWmbOcAyEt7oAhA53ZGxLut3qjKeLOnj3L4MGDCQgIoGrVqhQoUICIiAgOHDjAsWPH8PLyonfv3tx0002u//AiIiKSKj4+PgwfPpxevXoxZcoUli9fTrFixfjjjz84ffo0LVq0oE2bNle87lr5YWhoKB07dqRChQqULl0aHx8fdu3aRUhICMWLF2fy5Mn4+fll1Me7ppIlDW9MhJ69LVt+h5FjLCOG6h63aaVikCTa8rtlwCBLxAWoWgVen2Dw909+BwsNDb2i2gwkWZbc+aeNMbz55pvMmzePxYsXs3fvXnbv3k2ePHlo3LgxDz30EI0aNUp220RERDxFWFgY4OwzFy9efNXn1KlT54pi0LU8+uijrF+/ngMHDnDgwAFiY2MpWLAgrVq14uGHH05y0K9QIcP0KTBqrOXnNTBugmXbNstLvdPvKmERkewiR44czJgxg7lz57Js2TJ+/vlnAgMDadOmDc8+++wVc/Nfbvt2WPaTUwh65GHo8ZzBy8tw+vRpNm3ahI+PD3fdddd1379ChQp069aNzZs3c+jQIbZu3YoxhiJFitC2bVv+7//+74ork0RERMT9atasyZw5c5g1axabN29m7969lCxZkmeeeYa2bdtiTPJztbx58/Lggw/y+++/s3HjRuLj4ylRogRdu3blsccew9/fPx0/ScoEVTaMHwOv9LOs/tnJTwf2B29v5aapZay1ybrGyt03kcyfP7/b25CVffud5Y03LbGxUKsmjBtjCHTzzaMV8+xHMc+eFPfsRzHP/OLjLXM/gtlzLNZC5UowYqihTJnUjw0U9+wno2OeP3/+NG8jPdurPuC53Bm7s2ctg4dZtm4DY6DX84aH2+sASHKoz3kuxc4zKW6eS7HzXNkldj+vsQwZZomLh9b3Qv++zkkxniotcUtrzqN7BmVzsbGWKdPimfC6Uwi6ozlMes39hSARERFxHy8vQ+cnDZNeM+TL68zT/NQzli+/siTzPCIREUmjnbssTz/rFIJy54bxY1QIEhERkezn9qaGoUMMXl6weAm8NskSH6+8NDVUDMrGwsItfftbFn7h/N71KcPIYZoGRkRERBy31jO8P8tQ9xaIioJJb1pe6Wc5flwDbxGR9BIfb5n/ieW55y0nT0GZ0vDuW4YmjZWniYiISPbU8g7D4IFOQejb72DMeEtsrPLSlFIxKJvavcfSrbtl42+QMyeMHmF4qpNJ0RyTIiIikvUVKWKY/Lqhdy+Dnx9s2AiPd7Z8vECDbxERVzt92vJSH8vbMy1xcdD8dnj3bUPZssrTREREJHu7+06nIOTtBT8sg6EjLNHRyklTQsWgbCY+3vLpQsuzPSxHjkCRIvD2NEPzZkouRERE5Oq8vAwP/Z9hzixD7Vpw6RK89Y6lyzOWjb9p8C0i4gq/rLV06mLZtNk5Ye/VPoZRIwwBAcrVRERERMApCI0ZZfDzhZ/XQL8BlogI5aTJpWJQNnL0mDO1y7QZlpgYaNoE3n/XULmykgsRERG5sbJlDdPeNAx81ZA3EPYfgJf6WF7pF8/+/RqAi4ikxvnzllFj4uk/yHI+DIIqw+yZhrb3aeYGERERkf+6rYlh4nhDrpzw2ybo3tNy7Jjy0eRQMSgbiI11pnJ5orMzLZyfH/R5yTB2tCFfPiUXIiIiknzGGFrfa/h4nuHh9uDjA+s3QKeulsFD49m9R4NwEZHkWrnK8nhnyw8/gpcXPPoIvDND08KJiIiIXE+9uoZpUwwFC8KBv6FbD8v2HcpFb0TFoCzMWssva50pXN56xxIVBbVrwQfvGR64X2eZiYiISOrlzWt4oacXH31gaN4MrIVVP0OXZyx9+8ez7U8NxEVEruXUKcugofEMGW4JDYXy5ZwiUI/nvPDzU54mIiIiciNVqxhmvW2oVBFCQ+H5FyyffGqJj1cuei0+7m6ApI8tv1tmzrL8ud35PU8e6NnD0LoVKgKJiIiIy5QqZRg9wrB/v2Xex5YVP8GvwfBrsKVaVcuD9xtatnB3K0VEMofoaMunC2HuPMvFS+DtDU88Bk8+blQEEhEREUmhIkUMb02DseMtq36GGW9bftsEg/pDgQIaW/2XikFZiLWWzVtg/ieWDRudZTlywEP/B492NATmUQcQERGR9FGhgmHYYEPXzpaPPnamPNq5C3buskx7C9o9cIE7W1rKl9N4RESyp1+DLVOmW44ccX6vUR1eeVH3cBURERFJC39/w6gR8M13MGWaZf0GeLyzpWd3uFcXRiShYlAWEB1tWb4CPv3csm+fs8zbG/7XFjo9YShUUH/wIiIikjFKlTL072d4tpvl+8Xw9TeWY8fhw3mX+HAeVK5kuetOw50tnLO4RESyut17nFkb1m9wfi9YALo/Z7jnLh2cEBEREXEFYwz3t4Wba8CoMZY9e2HsBMvSZfBSb3RS4j9UDPJghw5blix1DrScDXWW5cwJrVtBh4cNJUvoj1xERETcI38+w+OPQscOsGEjLF7qw89rYtizF/bstbw9E2rVtNx9l6Hpbc7zRUSykiNHLLPed6bPBOeEvYfbQ+cnDblz6ztPRERExNUqlDfMegc++xxmz3Fm0erUxXLPXZYunQ3Fi2fvMZiKQR7mwgXLylXw/RLLtj//XV64ELT/P0Pb+9B0cCIiIpJpeHsbGjWE1vcG8vffZ1m5Gn5cbvljK/z+B/z+h+X1SVDzZkvT25zCUIlsPkAXEc92+ozlg7mWb7+DuDhn2V13wtNPGUqW1PebiIiISHry8TE8+gg0ux2mv2VZ8wss+QF+XGG5s6Wl/YOGqlWz55hMxSAPcPGiZV0w/LTS8mswREc7y728oEF9aN3KOXDi45M9/4hFRETEM+TNa3jgf/DA/wzHTzhny6/4ybJ7z7+FoWkzoFJFS9Pb4PamhkoVNY2SiHiG06ctn3xm+fobuHTJWdawATz7tO4LJCIiIpLRSpYwjBtt2LHTMmu2ZeNvsPQHWPqDpfpNljtbGpo2gWLFss84TcWgTCoqyhK8AX76ybL213+TCYCyZeDeVoZWd0OhQtnnj1VERESyjmJFDY91hMc6Go4ft6xZCz+vca4Y2rvP+ZnzoaV4cbj9NueqoRrVdfKLiGQ+IUct8z+xLFkKMTHOshrV4dlnDHVq6ztLRERExJ1uqmaY/LpTFPriS8uKlbB9B2zfYZkyDSpWtNS4CapWMVSuBEWLQt684OWV9cZxKgZlIjExToVyxUrn8rXIyH/XFS8OLe+AlncYKlXSGbIiIiKSdRQrZnjo/+Ch/zOcO2dZ9yus+cWyfiMcOwafLoRPF1oCAqD+rZZGDQwN6kOBAhoPiYj77N9v+ehjy/KfID7eWVarJjz+mKFhfeVsIiIiIpnJTdUMNw0y9HjOGb+t+cWydRvs2+f8fP2tTXyury/UvcUycZzJUkUhFYPcLDbWuZHVipWWn9dAePi/64oUhjvugDtbGKpWUTIhIiIiWV++fIbW90Lrew0XL1o2/OYM0tf9CmFh8NNKZ+pcgCpBloYNoGEDw03VnPsTiYikp9hYy9p18OVXlk2b/13esAE88ZihVk19D4mIiIhkZgULGjo8BB0eck5G3Pw77PrLsmsXHDwIZ0Odq7137HRu15Izp7tb7DoqBrlBXJwzBcqKnyyrf4Zz5/9dV7AA3NEcWtzhTIWSlSqPIiIiIimRK5ehWVNo1tQQG2vZuQuC11uC18Nfu//9+XCeJTAQbq1nadTQ0OBWyJ9fYygRcZ1TpyzfL4FvvrWcPOUs8/KC25s6RaAqQfrOEREREfE0+fIZWjSHFs3/HcvFxFhOn3amisuZM2uN8VQMyiDx8ZY/tztnsq5cBWfO/rsuX15o3swpANWqqbNaRURERP7Lx8dwcw24uYbhma5w5oxlw0b4db3zb1gYrPjJOdnGGAiqbKldG+rUMtS8GQIDNb4SkZSJjHRO3luxMoz1Gyz2n5lD8uWDtm3g/rYmW91wWERERCQ78PU1FC/u7lakDxWD0pG1zhmsK1ZaVq4k8QwygIAAaHa7cw+gW+roZsjp6fTp0+5ugiRTbGws586dc3czJIMp7tlPdo95oUKF3N2ELKFgQcO9reDeVs5VQ9t3QPAGy/r1sHvPv1cNffqZc/S2YgVL7VpOMalaVShRQlPwisiVwsMtv66HX9Y608FFRQHEAM79gP53n+GO5uDnl72/Pzwhx8ru4w1Ppth5JsXNcyl27qX8UDKSikEuZq1l9x5YucqyYqVz0+ME/v7Q9DanAHRrPafKKOkvKCjI3U0QERFJdPbs2Rs/SVLEx8e5urpWTcOzT8Pp0868z7//YfnjDzh4CPbtd36+WOQUhwIDoWoVS7WqUK2aoVoVp8AkItlLfLzlwN+weQusXWfZ8jvExf27vnRpeOB/uWh62yVKFNd3RALlWCIiIq6h/FAykopBLhAdbdm8BX5ZZ1m3LukVQDlzQpNG0KKFoWF9yJFDCYSIiIhIeipUyHD3nXD3nc64KzTUuV/j739Ytu+EvXudaeU2bHR+wCkQFS5kqVgRKlaAihUNlSpAmTK6glskKwkLt+zdC7v+gj+2WrZug/DwpM8pVw6aNnHuV1alChQo4E9oaJRb2isiIiIi4ioqBqVS6DlLcLBTANqwES5e/HddzpzQoL5zD6DGDZ2bH4uIiIiIe+TPb2jeDJo3c8ZkMTGWfftg51+wc5dl5074+yCcOu38BK+HhAKRjw+UK2upWAHKljWULeMUiEqV1FXeIpnZhQuWo0fhSAjs22/Zsxf27oMTJ658bq6cUKMG3FrP0PQ2KF1KfVtEREREsh4Vg5IpLNyZZmTzFmfqgH37SbyBKEChQs4VQE0aG+reoiuARERERDIrX19D1apQtSo8eL8zZouMtM5Ucvtg736nWLRvP0RGOgeQ9+6DhAIRgLcXFC9hKVuGfwpEJvFxYKDGgSLpLTbWcvIUHD0KR4/B0aOWo8ecabqPHoXzYdd+bfFiUKkS1LzZmWIyqLKuABQRERGRrE/FoKuIj7ccOQI7d8HOv5wi0N59SYs/AJUrwW1NoEkjQ1AQeHkpgciMdu/e7e4mSDLly5dPNy3MhhT37Ecxl8zI399wcw24uQaAM6az1nL8uFMU2n8ADh6yHDrk3IMoMhKOHHF+1q6DywtF+fI5RaIypaFECUPxYlC8OJQoDvnygTEaM4okR0yMc3XP4SNw6DAcCbGJxZ8TxyEu/vqvz5fP6XsVykPlSoZK/0wDmSeP+mBaeUKOpfGG51LsPJPi5rkUO5HsI9sXg86ds/x9EP7+G/4+aNl/AHbvhogLVz63bBmoUxvq1DHUqQUFCiiJ8ASFChVydxMkmfLnz4+PT7b/Wsp2FPfsRzEXT2GMoXhx52DybU3g8iLRmTNOUejgITh0yCY+PnkSzp1zfv7YCpcXicCZTrh4MetstxgULWooWAAKFoQCBaBQQciTRwUjyT7i4y0nT/5b8Dl8xHL4sPP78eMQf52Cj5/vP4XWEk6xtXhxQ4nLfvf3Vz9KL56QY2m84bkUO8+kuHkuxU4k+8iSPT021hIRAWHhzs1Aw8Ph/Hk4eQpOnLCcOOnMFX3iJFy4StEHwM/PmS6galWocZOhTm0oWFDJhIiIiEh2Z4yhUCFnmuC6t0BCkQic6eYOH3EKQ4cP/ztt1bFjcPoMXLoEB/52fhz2iu37+kJgHkvu3JA7AAJyQ+7czr85cjjrff3Az9fg6+scEPfxBW/vy9v4z79cuQycK94t/175bq3TFHv5evtv8+zly3CKV81vB29vjY/lxuLjnQLq0WNOkefwYfvPvxASAtEx135trlxQujSULuX8lCxhEos9BQtqdgYRERERkeTyyGKQtZbXJlm2b4eYGOcnOgZi//n34sWUba94cShfFsqVc24MHFQZypfTvNEiIiIikjL+/oYqQVAlCJKWYiA62nL8hHO1g1Mkspw6BWfOOj9nz0JYmDO2TVh2fVcWkjLSjKnO/VYkfcTFWZYuc/4uvL3Byyvpvz7eTmEwRw7IkRNy+DlXnuXMceUyH5/0u9rMWkt4hNPOs2edoufZs3D8xD9Tuv0zrVt09LW34eMDpUr+U/ApDaVLGUr987hgAV0pJyIiIiLiCh5ZDIqKgh9/hIuXrv88f38IzONMtREYCEUKQ9GiULSI+edf5/ecOZVciIiIiEj68vMzlCnt3EvIceUYNDracjbUubL9wgWIiHCmL77wz7/R0dY5ESraOQkqJuHfGLCXTad1eZno8vteWnvZVUPmshaY6y9PcqWRcaazC6qc+v8LubE/t8O4Ca4p+Hl7gV8OS86czgwISX58r/wdnL+VePvvFWHxcU7+dfFi0p/w8Otf2XN5G4oU/fcKn9KlDaVLQalSUKyorjITEREREUlvHlkMypnTMO8DZ4oBX9+kP36+4J8b8gToyh4RERER8Sx+foZiRZ2D41en8W12UbUKPNXJmdo6Ph7i4pyCTNw/j+PiIDbWmXrwUhRER/37OOqfn4T77cTF/1u8SS8BASS5/1WRwlCihKFkCecePkWLKD8TEREREXEnjywGARQrZihWzN2tEBERERERcb0cOQxdn0p98cRam1gsSigOXYr656qyf36i/vk35j/LEq4G8zKAcaam8/Jy7t/jn8v5N+Ent79T/MmRQ4UeEREREZHMzGOLQSIiIiIiInJ1xpjE2RPy5HF3a0RERERExN283N0AERERERERERERERERST8qBomIiIiIiIiIiIiIiGRhKgaJiIiIiIiIiIiIiIhkYSoGiYiIiIiIiIiIiIiIZGEqBomIiIiIiIiIiIiIiGRhKgaJiIiIiIiIiIiIiIhkYSoGiYiIiIiIiIiIiIiIZGEqBomIiIiIiIiIiIiIiGRhKgaJiIiIiIiIiIiIiIhkYSoGiYiIiIiIiIiIiIiIZGEqBomIiIiIiIiIiIiIiGRhKgaJiIiIiIiIiIiIiIhkYSoGiYiIiIiIiIiIiIiIZGEqBomIiIiIiIiIiIiIiGRhKgaJiIiIiIiIiIiIiIhkYSoGiYiIiIiIiIiIiIiIZGEqBomIiIiIiIiIiIiIiGRhKgaJiIiIiIiIiIiIiIhkYSoGiYiIiIiIiIiIiIiIZGEqBomIiIiIiIiIiIiIiGRhxlpr3d2IGwkPD2fTpk3UrVuXPHnyuLs5kgEU8+xHMc+eFPfsRzHPnhT37EcxT0r/H55LsfNMipvnUuw8k+LmuRQ7z6XYeSZ3x80jrgyKiIhg9erVREREuLspkkEU8+xHMc+eFPfsRzHPnhT37EcxT0r/H55LsfNMipvnUuw8k+LmuRQ7z6XYeSZ3x80jikEiIiIiIiIiIiIiIiKSOioGiYiIiIiIiIiIiIiIZGEeUQwKCAigWbNmBAQEuLspkkEU8+xHMc+eFPfsRzHPnhT37EcxT0r/H55LsfNMipvnUuw8k+LmuRQ7z6XYeSZ3x81Ya61b3llERERERERERERERETSnUdcGSQiIiIiIiIiIiIiIiKpo2KQiIiIiIiIiIiIiIhIFqZikIiIiIiIiIiIiIiISBamYpCIiIiIiIiIiIiIiEgWpmKQiIiIiIiIiIiIiIhIFuaT0W/49ddfs2nTJv788092795NTEwM48aNo127dineVkREBO+//z7Lli3j8OHD+Pr6Urp0aVq2bEnPnj3TofWSWq6Ke1hYGHPmzGH58uUcOXIEPz8/SpUqxYMPPshDDz1Ejhw50ukTSEqcOHGCJUuW8PPPP7N//35Onz5N3rx5ueWWW3j66aepVatWsrcVHx/P/Pnz+eyzzzh48CD+/v40btyYl156idKlS6fjp5CUclXcf/vtN5YvX86GDRsICQkhMjKSkiVL0rJlS5599lkCAwPT+ZNIcrmyr18uOjqahx56iF27dlG+fHmWLl3q4pZLark65hrLeQZXxt0Tx3Jbt25l2rRpbNmyhdjYWIKCgujcuTOtW7dO0XbOnDnDzJkzWbVqFceOHcPf359y5cpx//338+ijjyZ5bpUqVa65nQcffJDx48en6rNkJ2mNW4sWLQgJCbnuc+bPn0+9evWSLFuzZg0zZ85k+/btGGOoXr06PXr0oFGjRqn+LNmNO2KnPpd2rviuPHHiBLNmzWLdunUcPXoUf39/ypYtS4cOHWjbti3e3t5XvEZ9Lu3cETv1OddwRez27dvHW2+9RXBwMOfPn6dw4cKJY/F8+fJd9TXqd2njjripz6Wdq45tp+Y4pyv7nLHW2hS/Kg0SBmb58+fH39+fkJCQVP3HHT16lE6dOnH48GEaN25MtWrViI6O5tChQxw9epRvv/02nT6BpIYr4h4WFka7du04fPgwdevWpVatWkRHR/Pzzz9z6NAhGjZsyJw5c/Dy0gVv7vb6668za9YsypQpQ/369SlQoAAHDx5k+fLlWGt54403kr2TGzx4MAsXLqRy5co0a9aMkydPsmTJEnLnzs2nn35KuXLl0vfDSLK5Ku5NmjQhNDSUunXrUq1aNYwxbNiwgR07dlC6dGkWLFhAoUKFMuATyY24sq9fbvLkycydO5fIyEgVgzIZV8ZcYznP4aq4e+JYLjg4mKeffho/Pz/atGlD7ty5WbZsGSEhIbz66qt06dIlWdvZuXMnXbp0ISwsjGbNmlGxYkUiIyPZt28fvr6+zJo1K8nzq1SpQsmSJXnwwQev2Fa1atW48847XfL5sipXxO2DDz4gPDz8iuWhoaHMnz+fvHnzsmbNmiQFzK+//pp+/fpRoECBxD6xePFiQkNDefPNN2nVqpXrPmQW5a7Yqc+ljSvidvjwYR566CHOnTvHbbfdRpUqVYiIiGDFihWcOnWKdu3aMW7cuCSvUZ9LO3fFTn0u7VwRu99//52nnnqKS5cu0bJlS0qXLs2uXbtYt24d5cqVY8GCBeTPnz/Ja9Tv0sZdcVOfSztX1TRSepzT5X3OZrC1a9faI0eOWGutnTlzpg0KCrJffPFFirYRExNj27VrZ2vWrGl//fXXq66XzMUVcX/33XdtUFCQHTNmTJLlUVFRtl27djYoKMhu2LDBZW2W1Pvhhx/s+vXrr1i+ceNGW716dXvrrbfaqKioG27n119/tUFBQfaxxx5L8vxVq1bZoKAg26VLF5e2W9LGVXGfOXOmPX78eJJl8fHxdtiwYTYoKMgOHz7cZW2WtHFVzC/3xx9/2GrVqtmPPvrIBgUF2XvuucdVzRUXcFXMNZbzLK6Ku6eN5WJiYuydd95pa9SoYXfs2JG4PCwszN599922evXqiePb6wkPD7fNmze3DRs2tDt37rzq+/xXUFCQffzxx9P2AbIpV8XtWmbPnm2DgoLsqFGjkiw/d+6crVevnm3QoIE9duxY4vJjx47ZBg0a2AYNGtjw8PBUv2924K7YWas+lxauilvCWP+DDz5Isvz8+fO2efPmNigoKMl21OfSzl2xs1Z9Lq1cFbv77rvPBgUF2eXLlydZPmvWLBsUFGSHDBmSZLn6Xdq4K27Wqs+5giuObaf0OGd69LkMP+2ucePGlCxZMk3b+OGHH/jzzz/p0qULDRs2vGK9j0+Gz34nN+CKuB8+fBiAZs2aJVnu5+fHbbfdBsDZs2fT9B7iGnfffTf169e/Ynm9evVo0KAB58+f56+//rrhdhYuXAhA79698fPzS1zerFkz6tevzy+//MLRo0dd13BJE1fFvVu3bhQtWjTJMmMMPXr0AGDjxo2uabCkmatiniAqKopXX32VunXrXjFlkmQOroq5xnKexVVx97SxXHBwMIcOHeK+++6jWrVqicvz5MnDc889R0xMDIsWLbrhdj7++GOOHj3KK6+8QtWqVa9Yr79313JV3K7l888/B6B9+/ZJli9dupSwsDAef/xxihUrlri8WLFiPP7444SGhrJ8+fJUv2924K7YSdq4Km7X2kcEBgZyyy23AM7VXQnU59LOXbGTtHNF7A4dOsTu3bu5+eabadmyZZJ1Xbp0IV++fHzzzTdERkYmLle/Sxt3xU1cwxXHtlN6nDM9+lzmmYMhBRYvXgxAq1atOHbsGJ988gnvvvsuS5Ys4cKFC25unaSXoKAgAFavXp1keXR0NGvXriVnzpzUrl3bDS2TlEg44JGcAx/r16/H398/cQB5uaZNmwKwYcMG1zZQ0kVK4n6jbVxtrnDJfFIT80mTJnHs2DHGjBmDMSa9mibpJCUx11gu60hJ3D1tLJcwxkgoVF0uYVlyTlBYvHgxxhjuuece9u/fz7x585g1axYrVqwgOjr6mq8LCwvj008/5Z133uGTTz5JUXE9O3NV3K5m8+bN7Nu3jxo1alxR2EvO+2rcen3uil0C9bnUcVXcrrWPCAsLY8uWLRQuXJhKlSql6H3V567PXbG7fL36XOq4InanTp0CoFSpUles8/LyokSJEly8eJE//vgjRe+rfndt7opbAvU590vpcc706HMeeRra9u3bAecm4+PHj0+SRBUoUIA333yTBg0auKt5kk7at2/Pt99+y4cffsj27dupWbMmMTExrF69msjISCZPnnzF1QSSuRw9epR169ZRuHDhxAHjtURGRnLq1CmCgoKuevC/bNmyABw8eDBd2iquk5K4X88XX3wBOPcUkswtNTHfuHEjc+fOpX///pQpUyadWyiultKYayyXNaQ07p42lvv777+Bf8cclytcuDD+/v43HIdER0eze/duChQowLx585g2bRrx8fGJ60uXLs2MGTOuelPfXbt2MXTo0CTLmjZtyoQJEyhYsGAqPlH24Iq4XUvClSUPPfRQit5X49bkcVfsEqjPpY6r4ta1a1d++uknxo0bx5o1a5LcdyZnzpxMnz6dnDlzJut91eeSx12xS6A+l3quiF3CPWWOHDlyxbr4+PjEqxMOHDiQeJN69bu0cVfcEqjPuVdqjnOmR5/zyCuDzpw5A8CYMWPo1KkTq1ev5tdff2Xw4MGEh4fz/PPPc/LkSTe3UlwtZ86cfPjhhzz44IP89ttvvP/++8ybN4+QkBDatGlDnTp13N1EuY6YmBj69etHdHQ0ffr0ueHVHQk3fQ0ICLjq+oTlV7s5rGQeKY37tezcuZMZM2ZQsGBBnn76aRe3UlwpNTGPjIxkwIAB1K5dmyeeeCIDWimulJqYayzn+VITd08by0VERADO1B1XExAQcMNxyPnz54mLi+PcuXO89dZb9O3bl3Xr1vHzzz/To0cPjhw5Qvfu3YmKikryui5durBgwQKCg4PZtGkTCxYs4Pbbb2fNmjU8++yzxMXFueZDZkGuiNvVXLhwgSVLlpArVy7uu+++FL2vxq3J467YgfpcWrgqboUKFeLTTz+ladOmrFmzhvfee48FCxYQHh7OAw88cMUVXepzaeeu2IH6XFq5Inbly5endOnSbNu2jVWrViVZ9+GHH3Lu3DkgaT9Sv0sbd8UN1Ocyg9Qc50yPPueRxSBrLQDNmzenT58+FCtWjAIFCvDEE0/QqVMnwsPDE8/8kazj7NmzdO7cmc2bN/Puu++yadMmfvnlF4YOHcrChQvp0KFDYieRzCU+Pp7+/fuzceNGHn74YR544AF3N0kygKvifvjwYbp160ZcXByTJk2iQIECrm2ouExqYz5hwgROnjzJ2LFj8fLyyKFJtpXamGss59lSG/fsOJZLuAooLi6Ojh070qVLFwoWLEjRokXp3bs3rVq1IiQkhKVLlyZ53auvvkqdOnXInz8/AQEB1KlTh5kzZ1K/fn22bdvGihUr3PFxsrXFixcTGRlJq1atrpnES+aUnNipz7nfwYMH6dixI2fPnmX+/Pls3ryZ1atX8/zzz/PWW2/RuXNnHazMpFITO/U59zPGMGzYMHx9fenevTu9evVi4sSJdO3alfHjxyde9a3puzOX1MZNfU4SeOQRl4QBXIsWLa5Yl7Dszz//zNA2SfobO3YsW7ZsYerUqTRr1oyAgAAKFy7MI488wosvvsjBgweZN2+eu5sp/xEfH8/AgQP57rvv+N///seIESOS9bqEqve1Dgrd6IwKca/Uxv2/Dh8+zJNPPkloaChTp0696o3mJXNIbczXr1/PggUL6N27N+XLl0/nVoorpaWfayznudISd08by93obLuIiIgbjkMuX5/Wv3cvL6/EKa42b958w+dnV66I29UkTFfbvn37FL+vxq3J467YXYv6XPK4Km79+/fn6NGjvPPOO9SrV4/cuXNTrFgxunXrxuOPP86WLVv4/vvvk/W+6nPJ467YXYv6XPK5KnZNmzZl/vz53H777QQHBzNv3jxCQ0OZMWMG9evXB0gyfZj6Xdq4K27Xoj6XsVJznDM9+pxHFoMSDhYFBgZesS5h2X+nWhDPt2bNGvLly3fVS4wT7iuwc+fOjG6WXEd8fDwDBgxg0aJF3HfffYwfPz7ZZ/37+/tTuHBhjhw5ctUzwBLmxLzavJniXmmJ++USCkGnTp3izTff5I477kiH1oorpCXmCd/bEydOpEqVKkl+wJnruEqVKtSrVy/d2i8pl9Z+rrGcZ0pr3D1tLFeuXDng6vNwnzp1isjIyBuOQ/z9/RPvg+SKv/eEeeIjIyOT9fzsyBVx+6+9e/eyZcsWKlSocM390fXeV+PW5HFX7K5Hfe7GXBG3iIgINm/eTMWKFSlcuPAV66+2j1CfSzt3xe561OeSx5Xfl7Vq1WLmzJls3LiRbdu28eWXX3LnnXeye/duAGrUqJGs91W/uzF3xe161OcyTmqOc6ZHn/PIYlDCmeF79+69Yl3CspIlS2ZomyT9RUdHExERkeQm0wlCQ0MB8PX1zehmyTUkHDD66quvaN26NRMnTkzx/WLq169PZGTkVc9QWLNmDQC33nqrS9orruGKuEPSQtDkyZO5884706G14gppjXlQUBDt27e/6g84Z7m0b99e00tmIq7o5xrLeR5XxN3TxnIJY4xffvnlinUJy5IzDnHl3/sff/wBQKlSpZL1/OzIVXG7XMK0lde7siQ575twtq5cnbtidz3qczfmirjFxMQA/+4L/uvs2bMA+Pn5peh91eeuz12xux71ueRJj+/Ly4WEhLBp0yYqVaqUeJJect9X/e7a3BW361Gfy1gpPc6ZLn3OutHMmTNtUFCQ/eKLL666/syZM3bv3r32zJkzSZYfOnTI1qhRwzZq1MgeP348cXl4eLi9//77bVBQkF23bl26tl1SL7Vx79Kliw0KCrKTJ09OsvzSpUv28ccft0FBQfazzz5Lr2ZLCsTFxdlXX33VBgUF2RdeeMHGxMRc9/nXivmvv/5qg4KC7GOPPWajoqISl69atcoGBQXZLl26pEv7JXVcFfdDhw7Z5s2b25tuusn+8MMP6dlkSSNXxfxagoKC7D333OOKpoqLuLKfayznOVwVd08by8XExNiWLVvaGjVq2B07diQuDwsLs3fffbetXr26PXz4cOLyEydO2L1799qwsLAk29m0aZMNCgqybdq0sefPn09cfvLkSdu0aVNbtWpVu3///sTlu3btstHR0Ve0Z9OmTbZWrVq2evXq9uDBg678qFmKq+KWIDo62jZs2NBWr17dnj59+prve+7cOVu3bl3boEEDe+zYscTlx44dsw0aNLANGjSw4eHhLviEWZe7Yqc+lzauits999xz1f3A+fPnbatWrWxQUJBdu3Zt4nL1ubRzV+zU59LOVbGLiIiw8fHxSZaFhYXZRx991AYFBdnly5cnWad+lzbuipv6nOul9th2So9zpkefM9b+cwffDLJw4UI2bdoEwO7du9m+fTu33HJL4iVNdevWTZyvcNq0aUyfPp2ePXvSq1evJNuZN28eo0ePJl++fNx11134+fmxatUqQkJC6NChAyNHjszIjyU34Iq479ixg8cee4zIyEhq1apFnTp1uHTpEmvWrCEkJIQ6deowd+7cZJ9xIuknIYb+/v48+eST+Pj4XPGcO++8k2rVqiV5/tX6+uDBg1m4cCGVK1emWbNmnDp1isWLF5M7d24WLFige4xkIq6Ke4sWLQgJCaF27drcdtttV32v//6diHu4sq9fTZUqVShfvvwVN1YX93FlzDWW8xyuirsnjuWCg4N5+umn8fPzo02bNuTOnZtly5YREhLCq6++SpcuXRKf279/fxYtWsS4ceNo165dku2MHz+eOXPmULx4ce644w5iY2NZsWIFZ86c4eWXX+bZZ59Nsp1Vq1ZRt25dihcvjo+PD3v27GHt2rUYYxg6dCgdO3bMsP8DT+SquAH88MMPvPDCC9x9991Mmzbtuu/79ddf069fPwoUKEDr1q0BWLx4MaGhoUyePJl7773XtR80C3JH7NTn0s4VcVu9ejU9evQgNjaWRo0aUa1aNcLCwvjpp584e/Ys99xzD1OnTk3yvupzaeeO2KnPuYYrYvf1118zefJkGjZsSJEiRThz5kxi3Hr37k2PHj2ueF/1u7RxR9zU51zDVTWNlB7ndHWfuzKTS2ebNm1i0aJFSZZt3rw5yeVRCf9x1/PEE09QsmRJZs+ezffff09cXByVKlWie/fuyXq9ZCxXxP2mm27iyy+/ZObMmaxfv5758+fj7e1N2bJl6d27N126dMlUBw+ys5CQEMCZc/Sdd9656nNKliyZeNDoekaOHElQUBCfffYZc+fOxd/fn7vuuouXXnqJMmXKuLTdkjauinvCdn7//Xd+//33qz5HxaDMwZV9XTyDK2OusZzncFXcPXEs17BhQz7++GOmTp3K4sWLiY2NJSgoiD59+iQmY8nRv39/goKCmD9/PosWLcIYQ7Vq1RgxYgR33XVXkue2bNmSsLAwdu3axbp164iJiaFQoUK0adOGTp06UbNmTVd/zCzHVXGDlE0zdv/995M/f35mzpzJl19+CThz9nfv3p3GjRun/INkQ+6Infpc2rkibs2aNeOTTz5h9uzZbNq0iY0bN+Ln50fFihV5/vnnr3qgUn0u7dwRO/U513BF7KpUqULVqlX55ZdfOHfuHAEBAdSuXZvOnTsnTnP7X+p3aeOOuKnPuYarahopPc7p6j6X4VcGiYiIiIiIiIiIiIiISMbxcncDREREREREREREREREJP2oGCQiIiIiIiIiIiIiIpKFqRgkIiIiIiIiIiIiIiKShakYJCIiIiIiIiIiIiIikoWpGCQiIiIiIiIiIiIiIpKFqRgkIiIiIiIiIiIiIiKShakYJCIiIiIiIiIiIiIikoWpGCQiIiIiIiIiIiIiIpKFqRgkIiIiIiIiIiIiIiKShakYJCIiIiIiIiIiIiIikoWpGCQiIiIiIiIiIiIiIpKFqRgkIiIiIiIiIiIiIiKShf0/eeMUBFlZm2UAAAAASUVORK5CYII=",
"text/plain": [
""
]
@@ -344,41 +352,43 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Given the 100 we observed, the posterior is centered around true underlying parameters theta_o: tensor([[1.9622, 0.7550]])\n"
+ "Given the 100 we observed, the posterior is centered around\n",
+ " true underlying parameters theta_o: tensor([[1.9622, 0.7550]])\n"
]
}
],
"source": [
"print(\n",
- " f\"Given the {num_trials} we observed, the posterior is centered around true underlying parameters theta_o: {theta_o}\"\n",
+ " f\"\"\"Given the {num_trials} we observed, the posterior is centered around\n",
+ " true underlying parameters theta_o: {theta_o}\"\"\"\n",
")"
]
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- ""
+ ""
]
},
- "execution_count": 12,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -393,24 +403,24 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "array([[, None],\n",
- " [,\n",
- " ]], dtype=object)"
+ "array([[, None],\n",
+ " [, ]],\n",
+ " dtype=object)"
]
},
- "execution_count": 13,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -453,7 +463,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.5"
+ "version": "3.8.18"
},
"vscode": {
"interpreter": {
diff --git a/tutorials/16_implemented_methods.ipynb b/tutorials/16_implemented_methods.ipynb
index 95e3ae4a6..0def05ad1 100644
--- a/tutorials/16_implemented_methods.ipynb
+++ b/tutorials/16_implemented_methods.ipynb
@@ -15,7 +15,7 @@
"\n",
"- Likelihood-ratio estimation (SNRE)\n",
"\n",
- "- Utilities "
+ "- Utilities\n"
]
},
{
@@ -23,7 +23,7 @@
"id": "0e2d1852-898e-49ed-85ef-888f0abd7e4e",
"metadata": {},
"source": [
- "## Posterior estimation (SNPE)"
+ "## Posterior estimation (SNPE)\n"
]
},
{
@@ -31,7 +31,28 @@
"id": "6e7559f4-d97b-4bca-8e22-6529c9c92d9c",
"metadata": {},
"source": [
- "**Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation** by Papamakarios & Murray (NeurIPS 2016) [[PDF]](https://papers.nips.cc/paper/6084-fast-free-inference-of-simulation-models-with-bayesian-conditional-density-estimation.pdf) [[BibTeX]](https://papers.nips.cc/paper/6084-fast-free-inference-of-simulation-models-with-bayesian-conditional-density-estimation/bibtex)"
+ "**Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation** by Papamakarios & Murray (NeurIPS 2016) [[PDF]](https://papers.nips.cc/paper/6084-fast-free-inference-of-simulation-models-with-bayesian-conditional-density-estimation.pdf) [[BibTeX]](https://papers.nips.cc/paper/6084-fast-free-inference-of-simulation-models-with-bayesian-conditional-density-estimation/bibtex)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f3d6a658",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Example setup\n",
+ "import torch\n",
+ "\n",
+ "from sbi.utils import BoxUniform\n",
+ "\n",
+ "# Define the prior\n",
+ "num_dims = 2\n",
+ "num_sims = 1000\n",
+ "num_rounds = 2\n",
+ "prior = BoxUniform(low=torch.zeros(num_dims), high=torch.ones(num_dims))\n",
+ "simulator = lambda theta: theta + torch.randn_like(theta) * 0.1\n",
+ "x_o = torch.tensor([0.5, 0.5])"
]
},
{
@@ -45,7 +66,7 @@
"\n",
"inference = SNPE_A(prior)\n",
"proposal = prior\n",
- "for _ in range(rounds):\n",
+ "for _ in range(num_rounds):\n",
" theta = proposal.sample((num_sims,))\n",
" x = simulator(theta)\n",
" _ = inference.append_simulations(theta, x, proposal=proposal).train()\n",
@@ -58,7 +79,7 @@
"id": "8f04c1c6-35b3-4a91-90c5-9fd0377eb8e2",
"metadata": {},
"source": [
- "**Automatic posterior transformation for likelihood-free inference** by Greenberg, Nonnenmacher & Macke (ICML 2019) [[PDF]](http://proceedings.mlr.press/v97/greenberg19a/greenberg19a.pdf)"
+ "**Automatic posterior transformation for likelihood-free inference** by Greenberg, Nonnenmacher & Macke (ICML 2019) [[PDF]](http://proceedings.mlr.press/v97/greenberg19a/greenberg19a.pdf)\n"
]
},
{
@@ -72,7 +93,7 @@
"\n",
"inference = SNPE(prior)\n",
"proposal = prior\n",
- "for _ in range(rounds):\n",
+ "for _ in range(num_rounds):\n",
" theta = proposal.sample((num_sims,))\n",
" x = simulator(theta)\n",
" _ = inference.append_simulations(theta, x, proposal=proposal).train()\n",
@@ -85,7 +106,7 @@
"id": "b4de2b24-94ce-4cbf-a675-b0c19b5200ca",
"metadata": {},
"source": [
- "**Truncated proposals for scalable and hassle-free simulation-based inference** by Deistler, Goncalves & Macke (NeurIPS 2022) [[Paper]](https://arxiv.org/abs/2210.04815)"
+ "**Truncated proposals for scalable and hassle-free simulation-based inference** by Deistler, Goncalves & Macke (NeurIPS 2022) [[Paper]](https://arxiv.org/abs/2210.04815)\n"
]
},
{
@@ -100,7 +121,7 @@
"\n",
"inference = SNPE(prior)\n",
"proposal = prior\n",
- "for _ in range(rounds):\n",
+ "for _ in range(num_rounds):\n",
" theta = proposal.sample((num_sims,))\n",
" x = simulator(theta)\n",
" _ = inference.append_simulations(theta, x).train(force_first_round_loss=True)\n",
@@ -115,7 +136,7 @@
"id": "d13f84e2-d35a-4f54-8cbf-0e4be1a38fb3",
"metadata": {},
"source": [
- "## Likelihood estimation (SNLE)"
+ "## Likelihood estimation (SNLE)\n"
]
},
{
@@ -123,7 +144,7 @@
"id": "89a5783d-1b46-47f8-800b-3cda038ea447",
"metadata": {},
"source": [
- "**Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows** by Papamakarios, Sterratt & Murray (AISTATS 2019) [[PDF]](http://proceedings.mlr.press/v89/papamakarios19a/papamakarios19a.pdf) [[BibTeX]](https://gpapamak.github.io/bibtex/snl.bib)"
+ "**Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows** by Papamakarios, Sterratt & Murray (AISTATS 2019) [[PDF]](http://proceedings.mlr.press/v89/papamakarios19a/papamakarios19a.pdf) [[BibTeX]](https://gpapamak.github.io/bibtex/snl.bib)\n"
]
},
{
@@ -137,12 +158,14 @@
"\n",
"inference = SNLE(prior)\n",
"proposal = prior\n",
- "for _ in range(rounds):\n",
+ "for _ in range(num_rounds):\n",
" theta = proposal.sample((num_sims,))\n",
" x = simulator(theta)\n",
" _ = inference.append_simulations(theta, x).train()\n",
- " posterior = inference.build_posterior().set_default_x(x_o)\n",
- " proposal = posterior"
+ " posterior = inference.build_posterior(mcmc_method=\"slice_np_vectorized\",\n",
+ " mcmc_parameters={\"num_chains\": 20,\n",
+ " \"thin\": 5})\n",
+ " proposal = posterior.set_default_x(x_o)"
]
},
{
@@ -150,7 +173,7 @@
"id": "16d22866-e095-4f4e-bcef-40bc196a8703",
"metadata": {},
"source": [
- "**Variational methods for simulation-based inference** by Glöckler, Deistler, Macke (ICLR 2022) [[Paper]](https://arxiv.org/abs/2203.04176)"
+ "**Variational methods for simulation-based inference** by Glöckler, Deistler, Macke (ICLR 2022) [[Paper]](https://arxiv.org/abs/2203.04176)\n"
]
},
{
@@ -164,12 +187,13 @@
"\n",
"inference = SNLE(prior)\n",
"proposal = prior\n",
- "for _ in range(rounds):\n",
+ "for _ in range(num_rounds):\n",
" theta = proposal.sample((num_sims,))\n",
" x = simulator(theta)\n",
" _ = inference.append_simulations(theta, x).train()\n",
- " posterior = inference.build_posterior(sample_with=\"vi\", vi_method=\"fKL\").set_default_x(x_o)\n",
- " proposal = posterior"
+ " posterior = inference.build_posterior(sample_with=\"vi\",\n",
+ " vi_method=\"fKL\").set_default_x(x_o)\n",
+ " proposal = posterior.train() # Train VI posterior on given x_o."
]
},
{
@@ -177,7 +201,7 @@
"id": "c1ca3f25-c7d2-4688-b5c0-f50864d650ba",
"metadata": {},
"source": [
- "**Flexible and efficient simulation-based inference for models of decision-making** by Boelts, Lueckmann, Gao, Macke (Elife 2022) [[Paper]](https://elifesciences.org/articles/77220)"
+ "**Flexible and efficient simulation-based inference for models of decision-making** by Boelts, Lueckmann, Gao, Macke (Elife 2022) [[Paper]](https://elifesciences.org/articles/77220)\n"
]
},
{
@@ -201,7 +225,7 @@
"id": "d81ff49e-f363-43c0-ba16-3ee6a697be5e",
"metadata": {},
"source": [
- "## Likelihood-ratio estimation (SNRE)"
+ "## Likelihood-ratio estimation (SNRE)\n"
]
},
{
@@ -209,7 +233,7 @@
"id": "0823041a-b3f7-4cd3-8a48-497450f622ea",
"metadata": {},
"source": [
- "**Likelihood-free MCMC with Amortized Approximate Likelihood Ratios** by Hermans, Begy & Louppe (ICML 2020) [[PDF]](http://proceedings.mlr.press/v119/hermans20a/hermans20a.pdf)"
+ "**Likelihood-free MCMC with Amortized Approximate Likelihood Ratios** by Hermans, Begy & Louppe (ICML 2020) [[PDF]](http://proceedings.mlr.press/v119/hermans20a/hermans20a.pdf)\n"
]
},
{
@@ -233,7 +257,7 @@
"id": "42b12584-63cd-47d4-93d2-430d407e1e0b",
"metadata": {},
"source": [
- "**On Contrastive Learning for Likelihood-free Inference** Durkan, Murray & Papamakarios (ICML 2020) [[PDF]](http://proceedings.mlr.press/v119/durkan20a/durkan20a.pdf)."
+ "**On Contrastive Learning for Likelihood-free Inference** Durkan, Murray & Papamakarios (ICML 2020) [[PDF]](http://proceedings.mlr.press/v119/durkan20a/durkan20a.pdf).\n"
]
},
{
@@ -247,12 +271,14 @@
"\n",
"inference = SNRE(prior)\n",
"proposal = prior\n",
- "for _ in range(rounds):\n",
+ "for _ in range(num_rounds):\n",
" theta = proposal.sample((num_sims,))\n",
" x = simulator(theta)\n",
" _ = inference.append_simulations(theta, x).train()\n",
- " posterior = inference.build_posterior().set_default_x(x_o)\n",
- " proposal = posterior"
+ " posterior = inference.build_posterior(mcmc_method=\"slice_np_vectorized\",\n",
+ " mcmc_parameters={\"num_chains\": 20,\n",
+ " \"thin\": 5})\n",
+ " proposal = posterior.set_default_x(x_o)"
]
},
{
@@ -260,7 +286,7 @@
"id": "44d0151a",
"metadata": {},
"source": [
- "**Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation** by Delaunoy, Hermans, Rozet, Wehenkel & Louppe (NeurIPS 2022) [[PDF]](https://arxiv.org/pdf/2208.13624.pdf)"
+ "**Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation** by Delaunoy, Hermans, Rozet, Wehenkel & Louppe (NeurIPS 2022) [[PDF]](https://arxiv.org/pdf/2208.13624.pdf)\n"
]
},
{
@@ -284,7 +310,7 @@
"id": "e7ecf9a0-6a82-42e1-9c12-97d0f5d825be",
"metadata": {},
"source": [
- "**Contrastive Neural Ratio Estimation** Benjamin Kurt Miller, Christoph Weniger, Patrick Forré (NeurIPS 2022) [[PDF]](https://arxiv.org/pdf/2210.06170.pdf)"
+ "**Contrastive Neural Ratio Estimation** Benjamin Kurt Miller, Christoph Weniger, Patrick Forré (NeurIPS 2022) [[PDF]](https://arxiv.org/pdf/2210.06170.pdf)\n"
]
},
{
@@ -294,7 +320,8 @@
"metadata": {},
"outputs": [],
"source": [
- "# The main feature of NRE-C is producing an exact ratio of densities at optimum, even when using multiple contrastive pairs (classes).\n",
+ "# The main feature of NRE-C is producing an exact ratio of densities at optimum,\n",
+ "# even when using multiple contrastive pairs (classes).\n",
"\n",
"from sbi.inference import SNRE_C\n",
"\n",
@@ -304,8 +331,8 @@
"theta = proposal.sample((num_sims,))\n",
"x = simulator(theta)\n",
"_ = inference.append_simulations(theta, x).train(\n",
- " num_classes=5, # SNRE_C sees `2 * num_classes - 1` marginally drawn contrastive pairs.\n",
- " gamma=1.0, # SNRE_C can control the weight between terms in its loss function.\n",
+ " num_classes=5, # sees `2 * num_classes - 1` marginally drawn contrastive pairs.\n",
+ " gamma=1.0, # controls the weight between terms in its loss function.\n",
")\n",
"posterior = inference.build_posterior().set_default_x(x_o)"
]
@@ -315,7 +342,7 @@
"id": "6271d3b2-1d64-45b8-93b7-b640ab7dafc5",
"metadata": {},
"source": [
- "## Utilities"
+ "## Utilities\n"
]
},
{
@@ -323,7 +350,7 @@
"id": "07414c0c-f8b5-45bd-9597-0eaf19d50a13",
"metadata": {},
"source": [
- "**Simulation-based calibration** by Talts, Betancourt, Simpson, Vehtari, Gelman (arxiv 2018) [[Paper]](https://arxiv.org/abs/1804.06788))"
+ "**Simulation-based calibration** by Talts, Betancourt, Simpson, Vehtari, Gelman (arxiv 2018) [[Paper]](https://arxiv.org/abs/1804.06788))\n"
]
},
{
@@ -335,16 +362,23 @@
"source": [
"from sbi.analysis import run_sbc, sbc_rank_plot\n",
"\n",
- "thetas = prior.sample((1_000,))\n",
+ "thetas = prior.sample((1000,))\n",
"xs = simulator(thetas)\n",
"\n",
+ "# SBC is fast for fully amortized NPE.\n",
+ "inference = SNPE(prior)\n",
+ "theta = prior.sample((num_sims,))\n",
+ "x = simulator(theta)\n",
+ "inference.append_simulations(theta, x).train()\n",
+ "posterior = inference.build_posterior()\n",
+ "\n",
"ranks, dap_samples = run_sbc(\n",
" thetas, xs, posterior, num_posterior_samples=1_000\n",
")\n",
"\n",
"_ = sbc_rank_plot(\n",
" ranks=ranks,\n",
- " num_posterior_samples=num_posterior_samples,\n",
+ " num_posterior_samples=1000,\n",
" plot_type=\"hist\",\n",
" num_bins=None,\n",
")"
@@ -355,7 +389,7 @@
"id": "8f1c75d9-4139-45ba-ad60-49d8ce8ec2ec",
"metadata": {},
"source": [
- "**Restriction estimator** by Deistler, Macke & Goncalves (PNAS 2022) [[Paper]](https://www.pnas.org/doi/10.1073/pnas.2207632119)"
+ "**Restriction estimator** by Deistler, Macke & Goncalves (PNAS 2022) [[Paper]](https://www.pnas.org/doi/10.1073/pnas.2207632119)\n"
]
},
{
@@ -390,7 +424,7 @@
"id": "48853668-7b6f-4cfd-9d93-7d62f0e77de8",
"metadata": {},
"source": [
- "**Expected coverage (sample-based)** as computed in Deistler, Goncalves, Macke (Neurips 2022) [[Paper]](https://arxiv.org/abs/2210.04815) and in Rozet, Louppe (2021) [[Paper]](https://matheo.uliege.be/handle/2268.2/12993)"
+ "**Expected coverage (sample-based)** as computed in Deistler, Goncalves, Macke (Neurips 2022) [[Paper]](https://arxiv.org/abs/2210.04815) and in Rozet, Louppe (2021) [[Paper]](https://matheo.uliege.be/handle/2268.2/12993)\n"
]
},
{
@@ -411,7 +445,7 @@
"\n",
"_ = sbc_rank_plot(\n",
" ranks=ranks,\n",
- " num_posterior_samples=num_posterior_samples,\n",
+ " num_posterior_samples=1000,\n",
" plot_type=\"hist\",\n",
" num_bins=None,\n",
")"
diff --git a/tutorials/utils_13_diagnosis_sbc.py b/tutorials/utils_13_diagnosis_sbc.py
index 25432bae1..0b11dfce2 100644
--- a/tutorials/utils_13_diagnosis_sbc.py
+++ b/tutorials/utils_13_diagnosis_sbc.py
@@ -9,7 +9,8 @@
# Mocking a neural posterior
class BiasedPosterior:
def __init__(self, posterior: Callable, shift: float = 5.0):
- """give me a prior/posterior and I'll shift it by a scalar `shift`. All calls to `sample` are wrapped."""
+ """give me a prior/posterior and I'll shift it by a scalar `shift`. All
+ calls to `sample` are wrapped."""
self.shift = shift
self.posterior = posterior
@@ -19,7 +20,7 @@ def set_default_x(self, x):
def sample(
self,
- sample_shape: Shape = torch.Size(),
+ sample_shape: Shape,
x: Optional[torch.Tensor] = None,
show_progress_bars: bool = False,
):
@@ -51,7 +52,7 @@ def set_default_x(self, x):
def sample(
self,
- sample_shape: Shape = torch.Size(),
+ sample_shape: Shape,
x: Optional[torch.Tensor] = None,
show_progress_bars: bool = False,
):