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    "result": {"data":{"site":{"siteMetadata":{"salvusDocVersions":{"current":"2026.5.0"}}},"jupyterNotebook":{"slug":"/2025.1.3/examples/tutorials/getting_started/tutorial_part1","notebook_widgets_root_path":"/jupyter_notebook_widgets","notebook_json":"{\"cells\":[{\"cell_type\":\"markdown\",\"id\":\"97f48d59\",\"metadata\":{},\"source\":[\"# Lamb's problem\\n\",\"\\n\",\"## Part 1 - First simulation\\n\",\"\\n\",\"An accurate solution to the wave equation is a requirement for a wide variety of seismological research. In this tutorial, we will validate the accuracy of Salvus by comparing numerically calculated seismograms to semi-analytical solutions of Lamb's Problem in 2-D. In addition to giving us confidence in the synthetic data we will use in future tutorials, it also gives us a chance to gently learn some of the key features of the Salvus<i>Project</i> API.\\n\",\"\\n\",\"Lamb's problem is concerned with the behavior of the elastic wave equation in the presence of a half-space bounded by a free-surface condition. In our solution we expect both direct arrivals and those reflected from the free-surface, along with a contribution from the 2-D Rayleigh wave. We'll consider a half-space bounded at $y=2000$, and excite waves using a Ricker source with a center frequency of 15 Hz. This setup keeps compute times very low, while also allowing for a fair amount of wavelengths to propagate within our domain. To get started, let's first import all the Python tools we'll need.\"]},{\"cell_type\":\"code\",\"execution_count\":1,\"id\":\"0f2222d7\",\"metadata\":{},\"outputs\":[],\"source\":[\"%matplotlib inline\"]},{\"cell_type\":\"code\",\"execution_count\":2,\"id\":\"c50b1a76\",\"metadata\":{\"lines_to_next_cell\":2},\"outputs\":[],\"source\":[\"# This notebook will use this variable to determine which\\n\",\"# remote site to run on.\\n\",\"import os\\n\",\"\\n\",\"SALVUS_FLOW_SITE_NAME = os.environ.get(\\\"SITE_NAME\\\", \\\"local\\\")\\n\",\"PROJECT_DIR = \\\"project\\\"\\n\",\"\\n\",\"# Uncomment the following line to delete a\\n\",\"# potentially existing project for a fresh start\\n\",\"# !rm -rf project\"]},{\"cell_type\":\"code\",\"execution_count\":3,\"id\":\"7ae830c6\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[]}],\"source\":[\"import pathlib\\n\",\"import numpy as np\\n\",\"import salvus.namespace as sn\"]},{\"cell_type\":\"markdown\",\"id\":\"6581a4ab\",\"metadata\":{},\"source\":[\"## Initializing a project and its domain\\n\",\"\\n\",\"Before we initialize our project, we'll first need to initialize the spatial domain to which our project corresponds. In this case we'll be using a simple 2-D box domain. Don't worry, we'll make things a bit more exciting in future tutorials. The box domain can easily be constructed from a set of two-dimensional extents as shown in the cell below.\"]},{\"cell_type\":\"code\",\"execution_count\":4,\"id\":\"b69c557a\",\"metadata\":{},\"outputs\":[],\"source\":[\"d = sn.domain.dim2.BoxDomain(x0=0.0, x1=2000.0, y0=0.0, y1=1000.0)\"]},{\"cell_type\":\"markdown\",\"id\":\"655dd466\",\"metadata\":{},\"source\":[\"For a given project the domain we specify is immutable; its extents and characteristics are used to infer other information regarding our meshes, simulations, and data. With the simple domain definition given above, we're now ready to initialize our project. To do this we can use the `Project.from_domain()` constructor as shown below. This function takes a path and a domain object such as the one we just constructed. Calling this function several times will load the project state from disk instead. The project state is persistent and not tied to this notebook, so you can easily take a break and continue working on the project anytime.\"]},{\"cell_type\":\"code\",\"execution_count\":5,\"id\":\"068eb719\",\"metadata\":{},\"outputs\":[{\"output_type\":\"display_data\",\"metadata\":{},\"data\":{}}],\"source\":[\"p = sn.Project.from_domain(path=PROJECT_DIR, domain=d, load_if_exists=True)\"]},{\"cell_type\":\"markdown\",\"id\":\"b997e58e\",\"metadata\":{},\"source\":[\"Most entities of a project can be visualized in a notebook widget by calling `p.viz.nb.` followed by the name of the entity. Currently the project does not contain a lot of data yet, but at least we can visualize the domain extent.\"]},{\"cell_type\":\"code\",\"execution_count\":6,\"id\":\"acb00563\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"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\",\"text/plain\":[\"<Figure size 1000x1000 with 1 Axes>\"]},\"metadata\":{},\"output_type\":\"display_data\"}],\"source\":[\"p.viz.nb.domain()\"]},{\"cell_type\":\"markdown\",\"id\":\"129ca7e4\",\"metadata\":{},\"source\":[\"## Specifying sources and receivers\\n\",\"\\n\",\"Next, we need to set up a source and a few receivers. To facilitate this we'll use several `simple_config` objects from Salvus<i>Flow</i> above. You can use the `tab` key to browse through the different categories and to see a list of all available options, or check the documentation [here](https://docs.mondaic.com/references/python_api/salvus/flow/simple_config/source).\\n\",\"\\n\",\"In the benchmark in part 2, we will be comparing the simulated seismograms to the semi-analytic response of 2-D vector point source with components $[0, -1e10]$ at a position of $[1000, 500]$. Here, forces are specified in Newton-meters, with positions in meters.\"]},{\"cell_type\":\"code\",\"execution_count\":7,\"id\":\"5b38266b\",\"metadata\":{},\"outputs\":[],\"source\":[\"src = sn.simple_config.source.cartesian.VectorPoint2D(\\n\",\"    x=1000.0, y=500.0, fx=0.0, fy=-1e10\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"293618ce\",\"metadata\":{},\"source\":[\"Note that we only specify the spatial characteristics of the source at this time. The temporal parameters, most importantly the frequency content of the source wavelet, is tightly coupled to the discretization of the domain. It is common to run several simulations using different frequency bands, which is why those parameters will be defined later as part of the `SimulationConfiguration`.\\n\",\"\\n\",\"As measurement locations, we'll set up a line of 5 equidistantly spaced receivers between $x=1010.0$ m and $x=1410.0$ m, at a `y` position of 800 m. We need to specify a unique station code for each receiver, as well as a list of which fields we'd like the receivers to record (displacement in this case).\"]},{\"cell_type\":\"code\",\"execution_count\":8,\"id\":\"07ffe238\",\"metadata\":{},\"outputs\":[],\"source\":[\"recs = [\\n\",\"    sn.simple_config.receiver.cartesian.Point2D(\\n\",\"        y=800.0,\\n\",\"        x=x,\\n\",\"        network_code=\\\"XX\\\",\\n\",\"        station_code=f\\\"REC{i + 1}\\\",\\n\",\"        fields=[\\\"displacement\\\"],\\n\",\"    )\\n\",\"    for i, x in enumerate(np.linspace(1010.0, 1410.0, 5))\\n\",\"]\"]},{\"cell_type\":\"markdown\",\"id\":\"c3a91de9\",\"metadata\":{},\"source\":[\"With our sources and receivers now defined, we can add the combination of them as an `Event` to our project. Every event requires a unique name.\"]},{\"cell_type\":\"code\",\"execution_count\":9,\"id\":\"69b31f1a\",\"metadata\":{},\"outputs\":[],\"source\":[\"p.add_to_project(sn.Event(event_name=\\\"event_0\\\", sources=src, receivers=recs))\"]},{\"cell_type\":\"markdown\",\"id\":\"f7b85eed\",\"metadata\":{},\"source\":[\"Note here the syntax we used. An `Event`, along with several other relevant objects, can be added to a project by calling `add_to_project` or simply using the `+=` operator. Once the object is successfully added to the project it is then \\\\\\\"serialized\\\\\\\", or saved, within the project directory structure. The power and usefulness of this concept will become apparent in a later tutorial. For now all you need to know is that the event is officially a part of our project!\\n\",\"\\n\",\"We can verify this by plotting the domain again.\"]},{\"cell_type\":\"code\",\"execution_count\":10,\"id\":\"65be3ac0\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"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\",\"text/plain\":[\"<Figure size 1000x1000 with 1 Axes>\"]},\"metadata\":{},\"output_type\":\"display_data\"}],\"source\":[\"p.viz.nb.domain()\"]},{\"cell_type\":\"markdown\",\"id\":\"bc8ffa4f\",\"metadata\":{},\"source\":[\"That's enough setup for now. Let's get going with some simulations.\\n\",\"\\n\",\"## Running a simulation\\n\",\"\\n\",\"What is still missing for our first simulation? We have not yet specified the material properties within our domain, nor the time characteristics of the source. Both influence the wavelengths in the simulation and thus the mesh that discretizes the domain.\\n\",\"\\n\",\"#### Defining a model\\n\",\"\\n\",\"The analytical solution was computed in an unbounded homogeneous isotropic elastic medium with material parameters specified in SI units as $(\\\\rho = 2200, v_p = 3200, v_s = 1847.5)$. As the analytic solution was computed in a homogeneous medium, we don't need to concern ourselves with (2- or 3-D) heterogeneities of volumetric models for now. So, the next step is to define our homogeneous medium using the Salvus interface for a `background_model`.\"]},{\"cell_type\":\"code\",\"execution_count\":11,\"id\":\"42059fb3\",\"metadata\":{},\"outputs\":[],\"source\":[\"mc = sn.ModelConfiguration(\\n\",\"    background_model=sn.model.background.homogeneous.IsotropicElastic(\\n\",\"        rho=2200.0, vp=3200.0, vs=1847.5\\n\",\"    )\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"df46d95f\",\"metadata\":{},\"source\":[\"#### Defining time- and frequency-dependent parameters\\n\",\"\\n\",\"Note that up until now we have not specified any information regarding the frequency content of the data we are planning on simulating, and in fact all the parameters we've specified have been frequency-independent. This is deliberate, as it is often the case that information on material parameters are provided independent of frequency. The next step is to add a time-frequency axis to our project, which enters in the form of an `EventConfiguration`. Here, at a bare minimum, we need to specify what type of source wavelet we would like to model, and to provide some basic information about the temporal extent of our upcoming simulations. The reference data were computed with using a Ricker wavelet centered around time $t=0$ and with a center frequency of $14.5$ Hz. The time interval spans a bit more than 0.5 seconds. These parameters are now used to define our `EventConfiguration` object. The start time is optional and only necessary here for comparing with the analytic solution in the next part. Salvus will auto-derive an appropriate start time if not given. Because the Ricker wavelet is centered around zero, we have non-zero contributions before $t=0$ and consequently need to start the simulation at a negative starting time.\"]},{\"cell_type\":\"code\",\"execution_count\":12,\"id\":\"589ffee1\",\"metadata\":{},\"outputs\":[],\"source\":[\"ec = sn.EventConfiguration(\\n\",\"    wavelet=sn.simple_config.stf.Ricker(center_frequency=14.5),\\n\",\"    waveform_simulation_configuration=sn.WaveformSimulationConfiguration(\\n\",\"        start_time_in_seconds=-0.08,\\n\",\"        end_time_in_seconds=0.6,\\n\",\"    ),\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"9467d1b1\",\"metadata\":{},\"source\":[\"To get a better sense of what our wavelet looks like in both the time and frequency domain, we can easily plot its characteristics in the cell below.\"]},{\"cell_type\":\"code\",\"execution_count\":13,\"id\":\"55335992\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAABTkAAAEpCAYAAABY7iboAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjksIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvJkbTWQAAAAlwSFlzAAAPYQAAD2EBqD+naQAAuopJREFUeJzs3Qd4U2UXB/DTSVsopYxSyi57Q8ueDmTJBgGRKSCIioAizk8FFSciIHvJBmUqCIKy9957lV0otAVKV5Lv+b/tDemkLW2z/j+feJObm+T25ibcnHvecxwMBoNBiIiIiIiIiIiIiKyUo7lXgIiIiIiIiIiIiOhZMMhJREREREREREREVo1BTiIiIiIiIiIiIrJqDHISERERERERERGRVWOQk4iIiIiIiIiIiKwag5xERERERERERERk1RjkJCIiIiIiIiIiIqvGICcRERERERERERFZNQY5iYiIiIiIiIiIyKoxyElERGY1Z84ccXBwMF6cnZ2lUKFC0q1bNzl37lyS5Z977jl1SS8899tvvy3msmfPHunQoYMUK1ZMcuTIIQULFpR69erJe++9l+x2SOlSokQJtfwXX3yR4jITJ040299JlmvcuHHSsWNHKVmypNpP0vo5+vTTT9XylStXTtPyKe2bbm5uaXo81iul17p79656LrxGVunTp0+y61++fPkEy0VGRspbb70lBQoUkCJFisioUaPEYDAkWObKlSuSK1cu+ffff7NsfSnO8uXL5dVXX5XSpUuLu7u7+q587bXXkv13JCoqSn744Qe1n+XMmVN9H7ds2VJ27tyZps3Zv39/9dg8efKo1ypbtqyMGDFC7Z+J7d27V5o3by6enp5qX3j++edlx44d6fosJfe8gHXIyL+HREREtsrZ3CtAREQEs2fPVkEEBA7wA/Drr7+WTZs2yenTp8Xb29u4kSZNmmR1G2zNmjXStm1b9WP0+++/V0Hcmzdvyv79+2Xx4sXy008/ycsvvyy7du1K8DgEQTt37mwMhAICpKbWrVsnXl5eCeYhiEW24eDBgzJ16lQVJLt27Zo6CYD3FwHzQYMGiZ+fX5qfa8qUKSqg88ILL8iff/6ZpsccPnxYfvzxRxUESq/E+6ajo/WcW0fg6r///ksyzxQ+ywisTZ48WcLDw+Wdd94Rf39/6dGjh3GZN998Uzp16iQvvvhitq27NYmNjZWFCxfKkiVLZN++fXLv3j3Jly+fVKtWTW1HBCmdnJzS9Fzfffed+Pr6yieffKLeh6tXr8o333wjAQEBsnv3bqlUqZJx2QEDBsiCBQvko48+Up8HvO63334rTZo0Uf/+1K5dO9XXevTokbzxxhsqoIrgPb7L8W/W2rVr5dChQ+Lq6qqWw9/UuHFj9Xzz5s1TQXDsN9gf8O8bvuOJiIgo8zDISUREFgEZKTVr1lTXEQzU6XTy+eefy8qVK6Vv377G5SpWrCiWKCIiQjw8PJK9Dz9qEZhav369ClJpkK2K+wDZYLgkhuBS3bp1U3zdwMBAyZ8/f6b8DZQ9YmJijFnLKUGwH5nHCP4jw2zkyJFqH0KgEJlpv//+u/zyyy8yYcIE6dWrV5pe9+TJk8ZAY1qyMhGAwmdv4MCBcuTIkRSzyWxx38R2Su1zp528GDJkiDoRAQik/fXXX8YgJ05gIIsPJ2rsTWrfh5pjx45Jly5d5Pbt22o/w3YrWrSohIWFqW352Wefyfjx41UAtFSpUk99TQTufXx8EsxDABMZnT///LPMmDHDmMWJwGr37t3lq6++Mi7boEEDddIAwc+nBTkXLVqU5HWQqTl48GDZvn27ug34G5DtiYC/tj2aNm2qgrDvv/9+mjM6iYiIKG2s55Q6ERHZFS3giR/ATxuujh+tGCpaoUIFlVWDTCAMCUxt6CEyaj7++GNxcXGR6dOnG+fjBzWya5DxhqGFGGaIzJzEw1lxH36kN2vWTP24TS1TKyQkRAV7kgtqWUp2mzYs8ujRo/LKK6+oDLy8efPK8OHDVbDrzJkz0qJFC/W3ImigBWdNg3LIOK1evbrxsdiOq1atSrAcAj/JDalHQBsZWxs2bEh1PfHarVu3lhUrVkjVqlXV+42AAYIhiQUFBanACQIfyIDF/oGsWb1eb1ymVq1aKovWVJUqVdQ6IgtLg4w9zMN7rkGwEYES0+f/9ddfEzzX5s2b1eOQxYXtU7hwYbXs+fPnU/wbsb3btWun9l+8HwicIfMMwREETxB03Lhxo3pOBELnzp0raZHefQ2ZbchwQ4aaJcM+kVLpBmz/rIJ9Ht8TGnwnYB6EhobK0KFDZezYsekK9Gr7y/z589VnD5mJyCBFhmHi7yFYvXq1+pwhgIbP5ksvvZQgI/zEiRPq+RAU1xw4cEDNM81sBGSbIzBtKiu+D7X1atiwofouR8YlPpcYao55+DyOHj1aBYfx7wD2+evXrz912yUOcAKCliglgNcw/RzgkjgDPnfu3Gp+WssqJKadpDL9nkcQE3+jacAX2wfZnfh8I6M/O0otZHWJByIiIkthGb+siIiIErl06ZKaotZZahAQQqYbfhRrwS/Ut6xfv74KciUHQVEEpxBoQ/YPAkiAoY34oY1s0aVLl6og0oMHD6RRo0YqC85UdHS0CgrgBzgCeV9++WWK64ggAWpyIusLU2TyZRZkvGIbaBfcfhbIrMJQ0WXLlqntggyoYcOGSfv27VXwAdsXfzMyCxH4M92mCIghOwnZt8h0QsACNSBNg3DIXsUwawT8MMQTMCwYGVUIOiNIk5Yh1AggYb2wPniv3333XTWsWnPnzh01/59//lH7BoJBCBJi/Uxrs2Le1q1bje8JgurHjx9XgSXTgCuCisiqRQAUsD8gQIplEaBBIBLbB+9xcvsChsVif8SQ8eQyzkwhgIwAKoIgiQNRGrzX2P/wHqAupGkQJzPg78N7gqHYCGBlBLYVAtfYbsg2TenzmBLT/Tq1/Rv7AAJ72gWBJbw2AnOogZsRjx8/VgFGrD+CZNhnsH+bwv41a9YsVXcTQTsEBDEPPvjgA/XepTXLNjF8Fi5evKiyD3G5ceOGCpZhngbZiAiGIziHz9vMmTPl/v37ajlkEwLWAeUxsP9qcB37N95jPC9g227ZskV9HjRZ9X2I9xDfM/369VP7l2mg2PQkFIZ84/OCAC++MzIC2wvvj+nnCCe2kHH522+/qe8qlBq4fPmy+r5D4FP79yAtsN0wdB37HLI28Z2HjFDT7ZK4xAho80xPmqTne167JIZ1MP0s4KJlFlvqKAgiIqJMZSAiIjKj2bNno1OHYffu3YaYmBjDgwcPDOvWrTP4+voaGjdurOaZatKkibpo5s6dqx4/ffr0VF8Hy7z11luGkJAQQ8OGDQ2FCxc2HD582Hh/UFCQwdnZ2fDOO+8keBzWB+vSpUsX47zevXur55s1a1aa/sa7d++q18RjcHFxcTHUr1/fMGbMGPX8T1vn5Hz++efG5zO94O/KCO35fvrppwTzq1evruYvX77cOA/vSYECBQwdO3ZM8fliY2PVcv369TPUqFEjwX2RkZFqXsmSJQ0nT540FCxYUL2neMzTFC9e3ODg4JDgvYOXXnrJkDt3bsOjR4/U7Q8//FCt9549exIs9+abb6rHnzlzRt3euHGjWm7r1q3q9vz58w2enp6GwYMHG55//nnj48qUKWPo3r278Xbz5s0NRYoUMYSFhSV4/rffftvg5uZmuHfvnrq9adMm9fzYl9MiIiJC/R3r1683ztu+fbvaXthvKlSooO7Dc166dEnd37lzZ8Onn35qSI9KlSol+ByZ0ul0hjp16hheffVV4zwsi8ekBT6TX3/9tWHt2rWG//77z/Dtt98a8ubNq97na9euPfXxeK3k9m3TC/bXlOA9wGcZr58RY8eOVZd//vlHXT755BODh4eHoXz58gk+r7du3TLUqlXLuE6tWrVS7x/2JXd3d8PZs2fT/dra/hIQEGDQ6/XG+ZcvX1bvf//+/Y3vkZ+fn6FKlSrqugbr5+Pjo75fND169DD4+/sbbzdt2tQwYMAAg7e3t+G3335T83bs2KFeF39vVn8f4jOGz3FUVJTxb/nyyy/V34PPDr5Xvv/+e+P+ie9PzD937ly6tiW+f5577jn1ecLfYwrb9n//+5/B0dHR+P4VK1bMcOjQoTQ//65duxLsk3j/w8PDk3x/li1bNsF7hPXC+4HHLFy4MNXXSOl73vSS0ucYli5dqr7vPv744zT/XURERNaMQU4iIrKIIGfiC4I59+/fT7J84iAnAjH4AWz6IzI52o9Q/OCsWrWq4erVqwnuR5AUy+zbt0/9CDW9dO3aVQUOEv+oTxzgeho8NwI+CErlz59fPUeJEiUMd+7cyXCQE0E6PK92OXLkSLrWKfHzacE/0+2LH8mPHz9OML9evXqGwMDAJD+oEVzJmTNngvcS709iCFgg+ID7sG1v3LiRpvVEcKRy5cop7kfbtm1Tt2vXrm2oWLFikuUQ9MRykydPVrfxd2EdEPDQ3ts2bdoYVq9ebciRI4cKmiJAYhrEwWO0AFDifQWBNSyrBdi0oNUvv/ySpr/vr7/+UvuEFuDCdsH2RIAV7/XMmTNVINs0yIlAlWlQ61mDnD/88IMKSt6+fTtDQc7kYLsjoDRkyJCnLovXKlWqVIL9WrtoQemUgpw4cYD7Z8yYYchMf/zxh3peBD9N4X3C+3D9+nV1G4E7fHchyKs9DvshAoovv/xykmBbYtr+8uOPP6a4XQAnB7AcgoGJIZCPba0F/LXPxsWLF437+7Jly1QwEQFQQJAR+zuCtFn9fYjvP9P3D58N7OOYIiiOzxXWxXT/xAmHadOmGdIK70uvXr0MTk5OhpUrVya5f/To0SpwPWrUKLXNV61apU6U4Hv54MGDaXqNhw8fqu2zZcsWte6FChVSJwe07Q74vGLb4D1BgB/vP078YL0wf/Hixam+Rkrf89oF+0NKn+PNmzer7dizZ880/T1ERES2gI2HiIjIImBIM2oaYjgkhn2iozSGSv7999+pPg7DklF3LS31BtEEBM1TUGMQQ1BNabU/MQQ5OYmfHzXWMEw0PVBfTqs1iuHRGPKN4eAYnpy4xmVaYWh5ZjZ3QS1NUxgyir81cZ06zMcwTw2GTWMIKup5jhgxQg31RW06DEfFkN7E0JUYw17RvAUdqDGkNq3w3CnNQ/1TbYpajYlp3ci15fB3YXgphvBiiC26mGOosdb8atu2bcZ6gNpQXjwWQ0XR9AeX5CRu0pPWv+/s2bPGmqCA2oyo44mhwto+iO3au3dv42MwHByfg8yAIeX/+9//VD1OvMeoLQn4e1HLFLcx1DZxp/GnQSMXlJ5AQ5m0wPuifVZMpdb8CNsKw7yx/hgKnZnQzR7DqhOvP94n0/0M2w3vEz4DqCmJ7uAYEo0ajBgijaHDGBae0X0cDaBM99/k9ivs43ivMHQdn11tv8U+juZV+O7BsHJ856GUg3YfPgfa+5qV34fYx/HdrsF3Pco5oNQDoJ4yykCY1s5Nzz6O80P9+/dX+wOGpGNIv6lTp06pfQTfuShfoUHZEwzpRi1UdD5/GuwP2j6K97dOnTqqWRX+HpTSgNdff12tt1b6QStfgtdFN3h8tp/lez6l+qEon4ASI/iORRkDIiIie8EgJxERWQQEOLUfjPiRiwATatH98ccfxu7FKTV7QP05/CB+WqCza9euKlDwySefqOU//fRT433aD0i8XvHixZ+6vloQKqNQFw7NdhDkxA96a4eAAgIoCFCbbhvU6kwO3lsEOBH8Qm1UvDcIEqTFrVu3UpyHplPaNLmmHloNQtOAAZqkIOiBIPi1a9dUXVA0B0GAB3U58RgE6ND5Gby9vVWtxp49e6p6mMnBtsjI/oIAlGngArVp0czJdN9OHHjCOmdWoBs1DFGPEjVOcUkMfzvmjxs3Lt3PjeBTVjXawvuEgBIar6RWD/JZPG390ZwLQU4EDPH5xhS1INGwCxA8Q7Dq4cOHT61zmtI+brp/Q0r7ONYT7xXghA72X6wPArL4nkXHb+z3CLyiTjCCt6bbLSu/D5PbxwMCAhIsg30c62W6j+PfhbQGOGfPnq2Ce1o9SlMIFGO5xJ8jvGd4f9IShE4Otiu2O4K4pnAyCzWEUWcX3yvYnmgehiBp4kZPmQHbCvsc6tGitjL+LiIiInvBxkNERGSRkGWDH+kIPplm9CSG7Bt0NEazobRAYBMBGjwvsoc06BqMDLkLFy4YMy4TXzIqpQ66yCgyzS60ZghyIPPPNNiBoEzi7upasw1kbaEpCzIl0SUdQU5knqUFspS0jDbTJiwIIGjBEgRw0Bzl4MGDSTKGsY6mARNkuiFTEU07EBAqX768cT4CQ2iMZNqQBVlreDy6TGPdk9tXtCBUeiEwYRokQQYbmqIk15RLg2w17L+ZAQFVZLElviD4gwAZrps2bkorBNEQ5EGmW2ZDI6pOnTqp7MRp06ZJVkCwLyIiItX1R+AKQVat+RACaWhKo0FwU5v/NGgkZLocmuegERUyjKFcuXIqCxD7velyeD0EtrSO6xrsv9iPEQzWmnsh8In9Dd+FCDya7uNZ+X2Y3n0cy+IEhOn6JQfbAU2DEOBENmXfvn2TXU77vk2clYsTMvi+SJzln1YIjuLfKmSpJ4bs58qVK6sAJ7KlcTII65rejOinCQsLU/8m4jtu7dq16R5tQEREZO2YyUlERBYJAU4EITF0GD/kk8vIAQx7xI9adN9FJhWCT/ihiSwgZIeim3diyERDJtUbb7yhAg/jx49XAZxRo0apLE9ksyETBuuAYZv4gY2sm4xmiCFggB/Obdq0UQE0rB8CM+jKjfVILmMusyDogiAYggbJDd/OLOhsjyHryAxD5i26fWMoLIbTIrhlGoTBsHZkOk6aNEkFRtG5GcFJBCUwtPdpEKRAJ+cvvvhCPT+ySBG8wfBPLbCD4aIIaKLjOd5XBBeQOYrXxPB4BHg0yKbCe41O7KaBEQRVtOG8iQMsv/zyi+qkjOGgeD5sW5RaOH/+vOqejoBSRiA4i30dAXDsvwjeYR1++OEHNQQbWVoffvihWhYBKARmkbmXln0I3ey1YBJKDSAohOAdIKsN2wgZflogzRTmIxCc+D6sL4I7pp2eERDF34D1R8YePj9Yf2RR4/OcmfB3tGrVSgWLMAQYf6MpDD/WAj0I/KBT9+bNm1N8PgQTu3fvrr43EKzCY/D34cQIsjKRJZgclGRAMM40qI9tg/0QQUTsJ8jcxpBwBOOfJjg4WA2RRyAMgSs8FttSOzGDjEGcCMJweHz2EGBFkA7bGSUFkFFqCuuCfR/D/U2zcDEf35/Y/02zCrPy+7BZs2ayePFild0I+D5AJ3cEAXHSAJ+fFStWqIAyPtf42xBY9/f3T/V5ceIE2ZvI6EXJB9MgJoKMNWrUUNfxucX+ju8PBK4x1BzbGKUn8D2J0hCm+0OpUqVUeQht2Pdff/0l06dPV99B+MwgQIz9DtsV+4zpPoIsfQSdERTGOuDkDN6bMmXKGL9bMhP2XZzcQbAf38G4aPBvkBbAxecY+3VaAu5ERERWxdxFQYmIyL5pTTHQRCExNMlAx1t0ttY6byduPKQth8YxWM7V1dWQL18+wwsvvGDYuXNnqk18Fi1apBrI9O3b19i4CE0q0OQCTXHQtAGNbtAoA40fTBttoFFGWi1ZskQ1jsH65cqVS3VJxt+FhhBoIJKStDQeSqlpkaZTp06q03NyTZzS8nwp/a3JNaJBUyU0zcF2Q/MVNC/RnleDRido+HHixIkEj/3999/Vcj///HOq64n3Aw1c0NAFr4/3G6+ZuCEMXLlyRW137A/Y5uXKlVNNdZJrUtWhQwf1+gsWLDDOi46OVn87mrgkt/3QcOb1119XjYDw/Og4jwZAX331VZJGMvj70qpPnz6qA7a2z6OJDprFaE2cJkyYoK7jNdHl+ubNm2l6Xq1BTHIXfA5Tk1LjIa0Tuqlu3boZSpcurbYd1hHv2aBBg9LcXCq1JkfYP00bD+E9SK3zNLa/1hUct7Fuqbl3757aF7BP4XOD/Quf2w8++MAQGhqa7GOCg4NVo6bk3mPsT9rnHo1t0PwnNdr+Mm/ePNWkCfsUPk+NGjUy7N+/P8ny+L5CsxvsF9jeL774ouqUnhj2X+zHWAb7ten64fXQhCg5WfF9iHXB9pozZ47xvWnfvr3xPcP2GjFihLpesGBB1YTJtNN8SrBuKe0HuM8U3stPPvlEfU/h+wiNlNCJXWsYptH2L/yNmlOnTqltgOfEdselfPnyap1DQkISPB6N3Bo3bqz+XuxL+Fx8+umnqmlRWjztez5xA7HUtoFpsyc0jfP19U3TOhAREVkTB/zP3IFWIiIiyhrInkPtSGR42QJkmCHjC9lUtgqNSlCfFEOOUbsUWYrI0kPmJuqCIhMQQ/aRDWs6JJlShqG7yHhEJh2y/CwVskyRjf7777+nWovY2iGDGN9LyDJHJqeWvXrv3j01FB+lK5CRin38WesfU0LIOEeDOWSeplRTmIiIyFqxJicREZGNQiAMwzHR+IKsB5ppocs7hrpiuDXKKWCYOYbGotQBhgtjSC2GT2NoKj0daoliCLolBzjtCQK4GPKNchoIPmOYP5rN4SQGavmiVi/KD2BoO/MxMtfWrVtVPVeUQiAiIrI1zOQkIiIiq2EPmZwaZG9OmTJFBYMQsNagNiNqhI4YMULVEyTbYS+ZnBrUwEQ9TtTzRRanBrV2UV8SNVx9fHzMuo5ERERkPRjkJCIiIrJwISEhcvPmTXFxcVGBXjQxIbIVyFBGkxw0AMJQ6ox2OCciIiL7xiAnERERERERERERWTXW5CQiIiIiIiIiIiKrxiAnERERERERERERWTUGOYmIiIiIiIiIiMiqMchJREREREREREREVo1BTiIiIiIiIiIiIrJqDHISERERERERERGRVWOQk4iIiIiIiIiIiKwag5xERERERERERERk1RjkJCIiIiIiIiIiIqvGICcRERERERERERFZNQY5iYiIiIiIiIiIyKoxyElERERERERERERWjUFOIiIiIiIiIiIismoMchIREREREREREZFVY5CTiIiIiIiIiIiIrBqDnERERERERERERGTVGOQkIiIiIiIiIiIiq8YgJxHZNAcHhzRdNm/eLH369JESJUqIvcHfrm0DIiIisk1z5sxJcOzj7OwsRYoUkb59+8r169fNvXo2KyIiQr744gseZxERZQPn7HgRIiJz2bVrV4Lbo0ePlk2bNsl///2XYH7FihWlaNGi8u6774q9CQgIUNsJ24CIiIhs2+zZs6V8+fLy+PFj2bp1q4wZM0a2bNkix44dk5w5c5p79WwyyPnll1+q688995y5V4eIyKYxyElENq1u3boJbhcoUEAcHR2TzIfcuXOLPYmJiVGZHPi7k9seREREZHsqV64sNWvWVNeff/550el06iTwypUr5bXXXhNLZTAYJDIyUtzd3cXWg6IeHh7mXg0iIqvE4epERPGSG66OIODbb7+tsh7KlSunDqzxw2D37t3qYPuHH36QkiVLSq5cueSFF16Q8+fPJ9meGzdulBdffFEFE3HQ2qBBA/n333+fut31er189dVXxtfNkyePVK1aVX755ZcEy507d066d+8uPj4+kiNHDqlQoYL8+uuvyQ5Jnzdvnrz33ntSuHBhtSzWN6Xh6vv375e2bdtK3rx5xc3NTWrUqCFLly5NciD+/vvvq22AZbAsts+iRYu4XxEREVkB7UTnlStX1BSBxI8++kj92+7q6qqOGd566y0JDQ01PmbEiBHi5eWlAqSad955Rx1P4NhIExISok4uT5gwwTgvPDzceOygPf/QoUPl0aNHyR6DTZkyRR3b4Ljlt99+S/HvwCgdZErmy5dPHTcVK1ZMOnXqpI5V4PLly+o5v//+e/n666/V/Th2wXFLcsdlaTm+AmwXHFv5+/ur5bB8q1at5PTp0+o1cYIdkM2plQrAMSdgGDtuHzx4UDp37ize3t5SqlQpdR/+luQyPxMfr2p/F7b7d999p+7D34/Hnj17Vp3U/vDDD8XPz0+9Zx06dJDg4OAUtyMRkTVjJicR0VP89ddfcujQIfn222/VQeTIkSPl5Zdflt69e8vFixdl4sSJEhYWJsOHD1cH04cPH1bLwfz586VXr17Srl07dWDu4uIiU6dOlebNm8v69etV8DMlOAjHwe+nn34qjRs3VgepOGA2/ZFx8uRJqV+/vjpQ/+mnn8TX11c975AhQ+Tu3bvy+eefJ3hO/GipV6+e+sGAHx04EL9161aS18aQ/hYtWkidOnXUsjgoXrx4sXTt2lX9WNAOzvE3I3CKYCyCoPiBcvz4cfWjhoiIiCyfdoIWwTicwG3fvr0K+uGYoVGjRnL06FF1PIHSNrggkNe0aVP58ccfZe/eveq4Qjupi+Dahg0bVBAU8Dx4TiwPOIZo0qSJXLt2TT7++GN18vbEiRPyv//9Tw2Xx3Nox1CA7NJt27ap+3GMg+OW5CDQh2MzrO+sWbPUiWHUGV23bp1ER0cnyIzEcVvx4sVl3Lhx6oQyjrdatmyphuxrf0taj68ePHggDRs2VK+P40McNz18+FCVAbh586Z6DqwDjqn69esn/fv3N25rUx07dpRu3brJoEGDkgR70woBWGxPTLXAa5s2bdQ64fgT2wWBbASYsR6rV6/O0OsQEVk0AxGRHendu7chZ86cKd5XvHjxBPPwNenr62t4+PChcd7KlSvV/OrVqxv0er1x/rhx49T8o0ePqtuPHj0y5M2b19CmTZsEz6nT6QzVqlUz1K5dO9V1bd26tXqN1DRv3txQpEgRQ1hYWIL5b7/9tsHNzc1w7949dXvTpk1q3Ro3bpzkObT7MNWUL1/eUKNGDUNMTEySdSpUqJD6G6By5cqG9u3bp7qOREREZH6zZ89W/97v3r1b/fv+4MEDw19//WUoUKCAwdPT03Dr1i3DunXr1DLff/99gscuWbJEzZ82bZrxGMfV1dUwatQodfvatWvq/pEjRxrc3d0NkZGRav6AAQMMfn5+xucZM2aMwdHR0bBv374Ez//HH3+ox69du9Y4D7e9vLyMxzKp0R5/+PDhFJe5dOmSWgbr8/jxY+P88PBwdbzWtGnTdB9f4e/Hc27YsCHF171z545a5vPPP09yH+bhvv/9739J7mvSpIm6PO14Vfu7cGypHZ+ZHpe2bds2weOHDh2q5if+24iIbAGHqxMRPQXqVZkW4sdwJcBZf9NsA22+Ntxr586dcu/ePZXxGRsba7wgawBn9Pft25fq2fratWvLkSNHZPDgwSp7AMO7TGE4GTIkMOwIGQqmr4FhUrgfw+pNIdM0LRkdyBjV6nIlfl5kJpw5c8a4jn///bcaBoXh7mhiQERERJY9PB2ZfZ6entK6dWuVpYh/ywsWLGhszKiN2NC88sor6lhIG9aN4w5kPSLzEpC9iexJZHAic3L79u1qPu7Xsji10TGoCVq9evUExxcY4ZJc6RyUAsIQ7qfB82Ho+xtvvKFGzmCkTUqQNYlh6hpsB2Q8IvsSw+/Tc3yF7Va2bNkEf2NGpOX47Gmwbhilk/i4FBmuprT5QUFBz/yaRESWhkFOIqKnQJ1JUziITm0+Dn7h9u3baooaS/gxYXpBzSQkKSAImhIME8NQMBxII6CKGlMY3o5amYAh4TjgRp2rxM+PA13AkCpThQoVeur7ra03hjMlfl4EXE2fd/z48Wp4FoaTIRiMbYJhbqhjRURERJZn7ty56kQrSvHcuHFDDUdHvXDt2MLZ2TnJcGoEIBEMNS1Hg8AejlFwwhbBTAQkcawSGBiobl+6dEldTAOAOMbA6yU+vkCgEcdFGTluAdSxxGtiODvqh+I2LonrmAP+juTmITiLoebpOb66c+eOFClSRJ5VWv/OrDheJSKyJazJSUSURfLnz6+mOEhOqXs5siZSgh8ZqHmJC2or4eAd9auQ7XD16lWV2eDk5CQ9e/ZUB/TJQVF/U6aZp09bbwRZke2QHDRDAmR1oJA+LvjhomV1IiMC2aBERERkWZDJp3VXTwxBSgT4ELwzDXQiAIka3rVq1TLOw4nXzz77TGVAIvNRq1OJ+f/884/xGMS0/jiOMVC3E/UhUzsGSc9xiwb1OHFBNiZOCOP4Cw2NcKyFepea5GqRYx6Cf2gkiWBmWo+vsI1QX/RZJfd3ItsUNd8TSxwIJiKiJxjkJCLKIsiKwNAtFK9Hd9BngedBRiiK6OOAHQXuK1asqLInkYmBQvPamflnhQBmmTJl1FD5b775Js2Pw48IDG/D41DMH80FTAv9ExERkWVDQBKNeNA4cdiwYcb5y5YtUxmbpgFLlKzJnTu3+jcfQcKXXnpJzUfmJkasLF26VB2roKu3BsPjcWyBYGriE7GZBQFKNNspX768LFiwQHUuNw1yLl++XHUi14aso3nQn3/+qQKkeCyOXdJ6fIWRNmiKhGH+yGRNDho1QXpL+qBL+u+//y5RUVHG50CWKcohYbsTEVFSDHISEWURZAMgiwA1OTEsHUFKDKNCdgQCgZhOnjw5xccjGxJ1q5BtgUwB1PrEDwl0BEUQEjAMC109cWD+5ptvqgNiHKyjriYO2LXaWumFDvA4cEfWKAKXhQsXVn/DqVOn1I8FHHQDfkTgBwt+BCCzFPej2zrqdDHASUREZF0QqMS//ShFg1rgOGGrdVevUaOGym7UICCITuk43kDAEsPDAY9BUA7ZnehGbgonahEwbdy4sQqi4vgBtcpRHxLZn+gIjmOL9JoyZYo65kH9SXREx1BsLVs0cb1MrDf+ToyUwWsjIIu/FaNSNGk9vsLfs2TJEmnXrp0ayYLAL4KZ6NSO4yMESzEUH8duq1atUkFiDB9HxiqeMzXY1jge69GjhwwYMEAFOBGAZoCTiChlDHISEWUhHJjiYBsHpQMHDlQHyAh0okB+4qL+ieHAGD8EZsyYoQ6+US8KB+UYGoahVIAMCQQdR48eLZ9++qkEBwerrE8EQbW6URmB1967d698/fXX6gD+/v37KusCr9elSxfjcshaWL16tfz8888qcxPB0F69esknn3yS4dcmIiIi88CwadTZ/uKLL2T27NnqOAABOQTckIGpZRRqEEBE0M80kIhlECBEM6LEAUaUudm2bZt8++23Mm3aNFWzE8PXcayEZZ8W+EsJjqsQJEUwFlmlONGME8U4RmnWrFmCZTG6BkFQBGBx3FSpUiVZs2aNsS5peo6vEMBEkyVsL/w9CJTipC+G9aMJkmbmzJmqKVPbtm1VZiZOgM+ZMyfVvwnrgyZK2FYIovr7+6u/b+3atUkaNBERURwHtFiPv05ERERERERkc1DqBxmnGKqO5opERGR72F2diIiIiIiIiIiIrBqDnERERERERERERGTVOFydiIiIiIiIiIiIrBozOYmIiIiIiIiIiMiqMchJREREREREREREVo1BTiIiIiIiIiIiIrJqzuZeAUun1+vlxo0b4unpKQ4ODuZeHSIiIqIsZzAY5MGDB+Ln5yeOjpl/TpzHV0RERGRvsvr4ihjkfCoEOIsWLcp9hYiIiOzO1atXpUiRIpn+vDy+IiIiInuVVcdXxCDnUyGDU9sJc+fOzX2GiIiIbF54eLg6yasdB2U2Hl8RWRZDTIycrVtPyu7eJQ4uLuZeHSKbF6OPkUaLG8m2btvExZGfOXuR1cdXxCDnU2lD1BHgZJCTiIiI7ElWlerh8RWR5QU5czk5qd87DHISZU+Q08k97jPHIKf9YSnErMMiAERERERERHbOtXQpc68CkV0p5cXPHFFmY+MhIiIiIiIiO4bszVJ//WXu1SCyG8jeXNl+pblXg8jmMJOTiIiIiIjIjhl0OrkzYaKaElHW0+l1MunwJDUloszDTE4iIiIisjg6nU5iYmLMvRqUDZycnMTZ2Zk1ysxJr5e7v/4q+QcNxBti1lUhsgd60cvkI5NlQNUB4iT8zBFlFgY5iYiIiMiiPHz4UK5duyYGg8Hcq0LZxMPDQwoVKiSurq7c5kRERJQhDHISERERkUVlcCLAiaBXgQIFmN1n4xDIjo6Oljt37silS5ekTJky4ujIilpERESUfgxyEhEREZHFwBB1BL4Q4HR3dzf36lA2wPvs4uIiV65cUQFPNzc3bvfs5uQkfj98z6HqRNn1kXNwkjGNxqgpEWUeqzpNunXrVmnTpo34+fmps/orVz69G9mWLVskMDBQHSz5+/vLlClTsmVdiYiIiCjjcKxH9oPZm+bl4OgoXm3aqCkRZT1HB0dp7d9aTYko81jVJ+rRo0dSrVo1mThxYpqWx5CXVq1aSaNGjeTQoUPy8ccfy5AhQ2TZsmVZvq5ERERERETWwBATI6cqV1FTIsp6MfoYqTG3hpoSkZ0OV2/ZsqW6pBWyNosVKybjxo1TtytUqCD79++XH3/8UTp16pSFa0pERERERGRFYmPNvQZEdiXWwM8ckV0HOdNr165d0qxZswTzmjdvLjNnzlT1nlD7J7GoqCh10YSHh2fLuhIRaQ4G3ZdFe4LkUfSTA5+KhXJLv4b+4u7Kuj1ERJaoT58+8ttvv8nAgQOTlEcaPHiwTJ48WXr37i1z5swx2zqSfUOt2zsPouTi3UdyJeSR3HsUI6ER0RIaESOR0THyIPBVybPsmDg7O0keD1fJl9NV8uXKIX5eblLaJ5cU8MzBMhJERGTRbDrIeevWLSlYsGCCebgdGxsrd+/elUKFCiV5zJgxY+TLL7/MxrUkIoqj0xvk103nZdzGs6I3JNwqa4/dklWHb8jE7gFSzteTm4yIyAIVLVpUFi9eLD///LOxaVJkZKQsWrRIjS6iuECbTqcTZ2eb/hliEe4/ipb9V+7L/iv35MDl+3L61gN5GJVK5ljRQJHDN1O829PNWcr45JIaxbylVglvCSyeVwU+iShj/HL6cdNRmkyaNEl++OEHuXnzplSqVEmNVkZZxtR60wwfPlxOnDihetp88MEHMmjQoATLoIzjZ599JhcuXJBSpUrJ119/LR06dEjX6z58+FA+/PBD1S8nJCRESpQooUpEvvnmm2Z7Z62qJmdmFK3HgVVy8zUfffSRhIWFGS9Xr17NlvUkIvt2KyxSXpuxW8ZuSBrg1JwLfihtJ26X+buvGL/LiIjIcgQEBKhg5vLly43zcB3Bzxo1aiRYdt26ddKwYUPJkyeP5MuXT1q3bq1+aGjmzp0ruXLlknPnzhnnvfPOO1K2bFlVpz45X3zxhVSvXl2mTp2qXtPDw0NeeeUVCQ0NNS6j1+tl1KhRUqRIEcmRI4daHuuiQUknvI5m6NCh6rgZP5QAyQKenp6yfv16dRv/Hn3//feqwScCu6if/8cffxgfv3nzZvV4LF+zZk31mtu2bcvwNqbUXbjzUKZsuSAdJ+2QgK82yIC5+2Xqlosq2JlqgDMNHkTGysGgUJm5/ZIMmn9Qan29UZr9vEW+X3dajULRp3QAQ0RJuDi6yPrO69WUKDVLlixR/xZ/8sknqtcMgowo4xgUFJTh3jS7du2Srl27Ss+ePeXIkSNq2qVLF9mzZ0+6XnfYsGHqGGL+/Ply6tQpdRvHEKtWrTLbm2rTp1B9fX1VNqep4OBgdeYYB5PJwYEXLkRE2eV2eKS0mbhdDSEDRweRIS+WkS41iwrOx2D+yGXH5NTNcImK1cunK4/LjdDH8kGL8nyTiIgsTN++fWX27Nny2muvqduzZs2S119/XQX7TCFQiSyLKlWqqOv/+9//VAbF4cOHVafxXr16yV9//aWeZ+fOnbJx40YVvNyxY4fkzJkzxdc/f/68LF26VP78809Vdqlfv37y1ltvyYIFC9T9v/zyi/z000/quRB4xfq1bdtWBTHLlCkjzz33nEybNi1BNkj+/PnVFFkc+/btU9mpDRo0UPd/+umnKpCL4fh4/NatW6VHjx5SoEABadKkifF5kEWCuvgIhiKwS5kHQ85XHroui/ddVdmaKSni7a6GnZfMn1P88+eUAp5uksfDRV3cHB0kdNkyydWhg+jEUe5HREvIw2i5+zBKgu5FqBOtF4IfyvXQxwme8+zth+oyafMFldXZrpqfdK5ZRMr75uZbTJQKnV4nc0/OlV4Ve4mTI8tRUcrGjh2r/i3v37+/uo1sSpw4xL+7GImckd4048aNk5deekkl+QGm+Hce8zH6JK2vi2ApSvHg2AHeeOMNdXyB12vXrp1Z3labDnLWq1dPHeCZ+ueff9RZ5OTqcRIRZTdkwIz446gxwFnIy03Gda0udfyfnIgp5OUuKwbXlzFrT8lvu66oeZO3XJBGZQpIvVLJn7AhIrI1Bp0OaYhPZjg5iYOjY5Ju0A4uLs+2rKOjODg5iUGvV49JL2RD4MfC5cuXVQYjgpIYwp44yJm4CSZqxvv4+MjJkyelcuXKah5+KFStWlVlYCCQ+Pnnn0utWrVSfX0EIFEbFJmaMGHCBHn55ZdVYBMJAPiRM3LkSOnWrZu6/7vvvpNNmzapHy+//vqr+qHy7rvvqtJOTk5OKviJ18X6o7YopoGBgSrLFMFZ/Aj677//1HE3IIi5fft2te6mQU5kj+IHFWWeY9fCZMb2i/L38VsSHWuyD8crWzCXOlbA0PKA4t7i4+mW4nPhs/H4l++kVP/X1OcitYDq/sv3Zd+Ve7Ln4j05ci1UtMElOJaZsf2SulQp7CVdaxWVTgFFWE+cKBl60cvYA2OlR8Ue4iQMctqbxL1fUkq2i46OlgMHDqgh4abQewYnQDPam2bXrl0q6zLxMlpgNK2vixEpq1evVidzMSwexwhnz55VJ1TNxaqCnBjvj7PTpmm4ONudN29eFanGAeX169fV8B5AzYGJEyeqs+QDBgxQbyTeWC0yTURkbvN2X5GtZ++o68iA+POdhpI/V9J/4NxcnOTLdpWlUB53+fbv0+oHxXtLD8vfQxuLlztP2hCR7bs7abLc/fVX422/H74XrzZt5HSNAGNXaBc/Pyn9379yb84cCf7hR+OyvqO+FO8uXeRs/QaifxCX6ebk7S1ld+2U+4sXy+3RXxmXLfjRh5K3d28J/eMP9Zj0QtYjgooINOJEFq5jXmIYmo5aWLt371YBRQwjBwwD04Kc3t7e6tgVPzzq16+f5MdGcnBMrAU4AcFHPPeZM2fU8PUbN24YszA1uI3haoDXxognZHTghxCGnyPTc/z48ep+/IDRgpcIyCKomjh4iR9HiYfnI8mAnh32qV0XQtTJzm3n7ia5v1rRPNK6SiF5qWJBKZE/5YzfjEJDoqYVC6qLFtj87/Rt2XDytmw9e1eidXH78bHrYery4z9npHvtYtK7fgkpmDvlICsRkT1BSRlTOJmIkjOJ4fgAdayT6zWTeNRyenrT3EphGe050/q6ODZArA3HHRgxjZEoM2bMUMFPc7GqICdSXp9//nnjbQQvQetUiWKopvUBSpYsKWvXrlURapyZRmQZb0LiM+dEROZwPvihfL3mlPH2D52rJhvgNPVGI3/ZfCZYdl+8JzfCIuWL1Sfk567Vs2FtiYjMK//gNyX/oIFPZjjFZb6UP3QwybJ5+/SRvL16JVm27M4dSZb17tYtYTAzPnszT+fOGV5XZDS8/fbb6jqOQZPTpk0b9SNn+vTp6hgVgUgEGBEgNIXh38ioRHASmZO5c6dvGLBWh960Hn1yNetNl2vcuLEKZrq6uqrMTqwXfuwcO3ZMZXCgRhdogdk1a9ZI4cKFEzxn4oyU1IbYU9ocuHJPxqw9reprmsJw8441iqjMyexuTogTtF1rFVMXNDpafeSG/HHgmgpwAjq3Yyj79G0X5ZWaReXt50uLX564plxERPYKvV9M/z1/WsnE1P7dTuvy6TkWSOsyiK/hZC2yOYsXL66OWTDqA4HUpk2bijlYVZATB1mpNdtAoDMxnGk+eDDpwS8RkTnF6PQybMlhVWMTetUrLs+V83nq4xwdHeSnLtWlxc9b5UFUrKw4dF1erOAjrauyOyMR2TYMIdeClQnmJzO0NlOWzcBQdU2LFi2MwUpkYSaGDqQo0I8h3VqXUgzxTgwBRTT1QfklZHGimD8yRFODE/4IiCJwChjJhMwKNCzCDyrMx2shkGn6OrVr1zbe1upyIsiJYeb4QYP1xFD3x48fGzNBK1asqH6Y4TVNh6ZT5rp456F8v+6MrDuRMGunWF4PeaOxv3QOLKJGfDwTJyeV8ZzcZyGtvHO6qoxNXI5fD5NZ2y+poGes3iAxOoMs3BMkf+y/poKxbz1fWny9mNlJ9svJwUk+r/e5mpL9wb/HaTlpiZEgONGZXK+ZxFmW6elN45vCMtpzpuV1cTyApkYrVqxQo1YAJXYw2hrHC+YKctp8d3UiIkuEzqRalkOpAjnlo5YV0vzYwnncZVT7Ssbbn6w4LmGPE9aZIyIi88EPAwQxccH1xDAMHT80EEhEKSbUtNRGKGkePHig6nsisIlupgsXLlQNhX7//fdUX9vNzU2NcsLwc3QxRz1PdEzFDxoYMWKEqsOJrqkYwo7gKX6QoA6naZATtTiRuakFYTEPzYvQQV77YYYu6++//74aNYXgK4bgowMrslefFoylp3scrZPv1p2WZj9vTRDg9C+QU37pVl3+e6+J9Khb/NkDnPFBfWQ0P0tw31Tlwl4ytmt12fHhCzL4uVKSK0dcbg2Gs6NUz/M/bpZfNp5TfyORPXJ0cJTOZTurKVFKcLIRdbA3bNiQYD5uo4xNcurVq5dk+cS9aVJaRnvOtLwu6nvighOppnDco430MAeryuQkIrIFEdGxMm3rRWMndQw3d3dN3w+U9tULq/pXa4/dUgHOebsuy9svlMmiNSYiovRKLUMDPwjQjAgBSAwFL1eunBrypXUnBQQdMcT7m2++UbfR2RzBSdScxw+MxMPDNaVLl5aOHTtKq1at5N69e2o6adIk4/14TTQ8eO+991RGBrIxMcwMndE1WCdkcWDomfZ3IFMTQ9YTZ2yOHj1aNUxCp9WLFy+qzukIhCK7gzIOpWk+W3Vcrt57nGBo+LCmZaVLzSLi7JS5gRE0HkLNWpR0SK3xUHqhDucHLcrLgEb+asj6nJ2XJSJaJ49jdPLzxrOyZF+QfNiqgrSpWijVoZdEtiZGHyNNFjeRLd22iIsj6+tTynASFCc9EaREcBInSDGCAscDkJHeNO+++64a0YHjCnRBX7VqlWzcuDHBqJKnvS6OD3BMgJOn7u7u6pgB9byxHmhKaC4OhtTGf5M6CPTy8pKwsLB010AiIkopi3P0XyfV9bbV/GT8qwmbM6TV5buP5IWfNoveIOLt4aKyJTxcee6KiCz/+Ce150cjGzSXRG11ZCVS2qFpwcqVK1VmprXh+x4HJy5RbxvlaDSuTo4ysIm/DGpSSnLGZ0RmNgQ5T1epKuWPHc3UIGdi9x5Fy/h/z6lsTh0OYOLVLO4tYzpWkTIFs7emKJE5g5wB8wLkYM+DDHLakYweX+FkJcrXoA8NTkT+/PPPxrIzffr0kcuXL6ta2hoEGzHKAqMyUKZm5MiRxuCk5o8//pBPP/1UnaAsVaqUfP311+okaVpfFzCcHUFWZIHixCoCnW+88YZ6bXOduGKQ8ykY5CSizBQVq5PG32+S2+FR6vb6oY2fqUnAu4sPyarDN9T1T1+uIP0b+WfauhKR/WKQ0zoxyGnddp6/K+/9fkRuhkUa59UpmVe+7lBFSvvkytLXzq4gp+Z88AMZ/dcp2XL2ToJg7uDnS8mbz5WSHM6sU0i2jUFO+8T4UtZjAQgiomy07MB1Y4CzWcWCz9wFdfBzpY3XMQwsMoa1rYiIiKxJdKxevl5zUrrP2GMMcHq6OcsPnavK4jfqZnmAU+Pk7S3ZpbSPp/z2em2Z3beWlMjnYazXOW7jOWk9frvqJE9k67xzZN9njsheMMhJRJRNYnV6mbzlvPH22y88CVBmFIKkCJYCgqd/HLj2zM9JRETWm8lpjUPV7dn10MfSZeoumb7tknFe/VL51EiPV2oWzbbhfsjeLLtrZ7ZkcZp6vpyPrBvaWDUnckKhchE5F/xQOk/ZpZouIQBMZItQh3Nrt60cqk6UyRjkJCLKJquP3DA2EGhUJr9ULZInU57XNFg6ZcsFidHxBwEREZE1NBd6efw2OXw11DhcG6Vn5verI3553LN1XQw6ndxbsEBNsxu6w6M50eq3G0iVwl5x62MQmbz5gnSYtEMNbSeyNTq9ThadXqSmRJR5GOQkIsoG6PGGAKTm7eefPYtTg2Bp47IF1PVr9x/LmqM3M+25iYiIKPOPCSb8e076ztknoRExal7RvO6yfHB9VVvbMT6jMVvp9XJ79Fdqai6V/LxkxeD6MrJFeXFxitsGJ26Ey8vjt8tvOy+r7UZkK/Sil2/2fKOmRJR5GOQkIsoGB4NC5ezth+p6YHFvqeOfL1OfH8O8NIv3BWXqcxMREVHmQO3soUsOy08bzqpsRWhaoaD89XYjqRyfxWjPnJ0cVeOhFYMbGGuRRsXq5fPVJ2TQ/AOq+zwREVFKGOQkIsoGfxy4arz+au1imf786L7qXyCnur774j0JConI9NcgIiKijLv7MEq6T98tqw7fULdRbnNE83IyrWegeHlkby1MS4eA71/vNJQ+9UsY560/cVvaTNgux6+HmXXdiIjIcjHISUSUxR5H6+TPI3FDyHO6OkmrKr6Z/hpoTNA5sIjx9h8H2YCIiIjIUpy9/UDa/7pDjewAdxcnmdIjUN56vrR5hqcn5ugoBT/6UE0tBWp1ftG2kszqU1O83OOCwEH3IqTj5J2yaG8Qh6+TVXMUR/mg1gdqSkSZh58oIqIstu7ETXkYFauuv1y1kHi4OmfJ63QKKCLa76RlB66JXs/aVUREROa27/I96TR5p6qbDQVz55DfB9WT5pUy/6RnRjk4OUne3r3V1NK8UL6grBnSUKoViRvOj47rHy0/Ju/9fkQN/yeyRk6OTtKzYk81JaLMwyAnEVEW++PAk6zKV2oWzbLXKZjbzdiA6HroY9l9MSTLXouIiIie7r/Tt6XHjD3yIDLuZGflwrll1VsNLa7+piEmRs41bqKmlqiIt4csHVRPetcrbpy3/OB16TJ1l9wKizTruhFlRIw+Rl5c+qKaElHmYZCTiCgLXbsfITsvxAUbS+TzkJrFvbN0e5sOWf/dJLhKRERZ64svvlClQ0wvvr4JM/V+/PFHKViwoLr8/PPPCe7bs2ePBAYGik7HzDRbsfzgNRkw94BqnAONyuSXJW/UE18vN7FEscHBYslyODvJl+0qy4RXa4iHa1z229FrYdJ24nY5fDWuDACRNQl+bNmfOSJrxCAnEVEWWnbgurF7KgKQ+NGbldChVatb9ffxmxIeybPDRETZpVKlSnLz5k3j5dixY8b7cP1///ufLFq0SBYuXCgff/yxHD9+XN0XExMjgwYNkilTpoiTBQ4Xzgj8TfZs1vZLMnzpEdHFl45pXbWQzOxdS3LmyJqSNfakTTU/WT64vhTxdle3gx9EqYzOFYd4cpeIyN4xyElElEVQE/OPg3Fd1RHb7BjwJMsyK4v0t6vup65HxuhlzdG4hkdERJT1nJ2dVfamdilQIK6ECJw6dUqqVq0qL7zwgrz44ovqOubBDz/8II0bN5ZatWo99TXmzJkjefLkkZUrV0rZsmXFzc1NXnrpJbl6Ne7fG83kyZOlVKlS4urqKuXKlZN58+YZ73vvvfekTZs2xtvjxo1TJ+HWrFljnIfHTJ061Xh79uzZUqFCBfV65cuXl0mTJhnvu3z5snr80qVL5bnnnlPLzJ8/X+zV1C0XZNRfJ423e9QtJr90qyGuzpb908vBPS5oaA3K+2LYfwOpXTKvsU7nsCVHZMzfp1iTnKyGu7P1fOaIrIVl/0tLRGTljQau3otrMtCwdH7xy5M9BzKvBBZNth4oERFlrXPnzomfn5+ULFlSunXrJhcvXjTeV6VKFTl79qwEBQXJlStX1PXKlSvL+fPnVeDyq6++SvPrREREyNdffy2//fab7NixQ8LDw9XraVasWCHvvvuuCmYiW3TgwIHSt29f2bRpk7ofgcht27aJXh83jHrLli2SP39+NYVbt26p9WvSpIm6PX36dPnkk0/UayIw+80338hnn32mXt/UyJEjZciQIWqZ5s2biz2avPmCjPn7tPH2kBdKy+h2lcXJEjqop8LBxUXKHzqoptYiX64cMr9fHelep5hx3tQtF+WdRYfYkIgsnouji+x9ba+aElHmYZCTiCiLrD12M0Hn8+yCpgZlC+ZS1w9cuc+C/ERkE3R6nWrQoF30hrgAnek8rYHDsyyL26A9Jq3q1Kkjc+fOlfXr16ugIAKF9evXl5CQuLrMyIJEcBBZl82aNZMxY8aoeRim/v3336vHIehZo0YN2bp161OHgk+cOFHq1aun6ngi2Lhz507Zu3evsfZnnz59ZPDgwSrbc/jw4dKxY0c1H5A1+uDBAzl06JAYDAYV8ERAdPPmzep+BENRNxQZmzB69Gj56aef1HMggIvpsGHDEmR6wtChQ43LINhrbyZtPi/frXsS4Hy/WVkZ3qxclpeqyQwGvV5Cl69QU2uC7Niv21eWUe0qGQPJa47dVM2e7j+KNvfqEaUI/8asPL8y3f/WEFHqGOQkIsqioerrT9xW112dHOXFCj7Ztp3xY6pl5ULG2/+cvJVtr01ElFWmHp0qAfMCjJe1l9aq+bXn1zbOa728tZo39+TcBMsuP7dczW+yuIlxHrrawtKzSxMsu/D0QjVfe0xatWzZUjp16qQyNps2bWoc+m2a7YiA5pkzZ9QF15HB6enpqYKV/fv3VxmYY8eOVVmZUVFRqQ6Lr1mzpvE2gpEYwq4Nf8e0QYMGCR6D29r9Xl5eUr16dRXURK1QR0dHle155MgRFfzEfC2L886dO2oofL9+/SRXrlzGCzJPL1y4kOA1TNfJ3vy66bx8v+6M8faI5uXk7RfKiNXQ6eTmxx+rqbXBcU+veiVkRq+axoZE+6/cl06Td0pQSIS5V48oWTqDTj7b8ZmaElHmYeVrIqIscORaqNwKj1TXG5bJL55u2TsUpUVlX/nl33Pq+rrjt9TBPxGRNRtYdaAMqDrAeNvJIS6YsbdHXPaiqV4Ve0mPij2SLLulW9xwbFNdynaRzmU7G287xucAdCzT8ZnWN2fOnCrgiSHsybl7966MGjVKZW2iszoyLsuUKaMuyNTEcHE8PiXJZQeazkt8PzI2TedhyDqCmajZiYCmt7e3apyE4e+Yj6xM0Ia0IzsV2aqmEjdJwt9sj2Zsuyg/rH8S4PygRTkZ/Fxps66TPXq+vI8sHVhP+s7ZJ3ceRMnFu4+kw6QdMrNPLaleNI+5V4+IiLIBMzmJiLIAAoumAcfsVt7XU0rk81DX91y6J/c4ZIuIrJyTo5OqXaZdHB3iDmNN52m1zZ5lWdwG7TEZhUxMZE4WKvQks94UgogY8l2kSBHR6XQJupHHxsaqeSnB/fv37zfeRmZoaGiocXg5hsFv3749wWMwnB3zNVpdzv/++09dBwQ7Fy9enKAeJ4atFy5cWNUXLV26dIILhqXbuyX7guSrNXEZsvBhy/IMcJpR5cJesvzN+lLaJ65sT8ijaOk2bZf8eypudA0REdk2BjmJiDIZsmXWnYgLcqI+VNMKBbN9GyNbp3l8cFWnN8jGkzy4JyLKSu+//75q3HPp0iWVmdm5c2fVEKh3795Jlt2wYYPK8HzrrbfU7dq1a8vp06fl77//lmnTpqkMSXQ3T4mLi4u888476nUOHjyomgrVrVtXPQ+MGDFCDYWfMmWKeh0MgV++fLlaR41Wl/PPP/80BjkxRVd0dIWvWLGicdkvvvhC1RD95ZdfVAAUQ9zRbR3Pa8/WHL0pHy0/Zrw9tGkZGdSklFglR0cpMPRdNbV2RfN6yLJB9aVOfOf1yBi9vDHvgKw8dN3cq0aUYNTAOzXeMY4eIKLMwU8UEVEmO33rgVyJrwGFA+y8OV3Nso1bVHqSQaoFXYmIKGtcu3ZNXn31VRWcRPMdDAPfvXu3FC9ePMFyjx8/lrfffls17UEtTECm5IQJE1SwUuua7u7unuJreXh4qE7m3bt3V/U8sSwyMDXt27dXAckffvhBDUHHayEoqQUztbqcaHKUN29eY0CzUaNGani6lsWpQb3QGTNmqMAphtDjfly350zOTWeCZeiSQ6I3xN3u17CkvPuiFdXgTMTByUnyDxqkprbAy8NF5varLW2q+RlP+A5dcljm7Lhk7lUjUjBq4I2qbxhHDxBR5nAwIOWIUoQz8DgIDAsLk9y5c3NLEdFTjd1wVsbH18Mc3a6S9DRTPUw0P2rw3X9yMyxSNT868FnTbK8NSkTWKauPf1J7/sjISJUNiQCam5tbpr+2tUNwEUPdMTzdlljT+77nYoj0mrVXomLj6pV2rVlUvu1UxSq6qKfEEBMjF1q3llJ//SUOLrZzrIBjoc9Xn5B5u68Y5yEYjaxba36/yPrF6GOk/cr2srL9SmP5FLJ9jC9lPWZyEhFlsvUm9TibmWRTZjdHRwdpHv/60Tq9/Hc62GzrQkREZAtO3QyX/r/tNwY4X65aSL7paN0BTk3MlSCxNTgWGtWukrzzwpNGUGjM+OWfJ1UAlMicgh7Y3meOyNwY5CQiykQX7zyUM7cfqOsBxfJIwdzmzUbRgpywnkPWiYiIMuxG6GPpO3ufPIiKVbefK1dAfu5SXdXfJsuFAPR7zcrJZ62f1Jmds/OyvPf7EYnRxQWriYjINjDISUSUiUxrX7asnHxH3exUu2ReyRdfE3TT6TvyODrlbr1ERGT5+vTpY3ND1a1B2OMY6TN7r9wKj1S3qxfNI5NfCxRXZ/6cshaom/rTK9WMQekVh67Lm/MPSFQsj42IiGwF/1UmIspEG0y6mJtmUZoLDuRfqhjX3f1xjE62n79r7lUiIiKyKgiCDZy3X87efqhul8jnITN71xR3V9tpGII6nBVOn7KpepzJ6RRYRKb0eBKc3ngqWAbMPSCRMQx0UvZCHc5jvY+xHidRJmOQk4gok9x7FC2Hr8Zl15Qr6CnF8nlYxLZtWiEuyAmbz7AuJxERUVqhbuP7vx+V3Rfvqdt5c7rKnL61JV+uHDa1EQ16vYSvW6emtg4nf+f0rSXuLnFB6q1n76gyBBHRcWUIiLKD3qCX9ZfXqykRZR4GOYmIMgkOkg3xNeyfK1/AYrZr/dL5VHd12HwG68hC+0Rk+fhdZV8s9f3+fv0Z+fPIDXXdzcVRZXCWyJ9TbI5OJ9eHDlNTe1C/VH6Z26+25MrhrG7vuhgivWftlQeRMeZeNbITOoNO3t/yvpoSUeZhkJOIKJNsMsmSfL6cj8VsVw9XZ6njn1ddvx76WM4Fxw23IyKyRE5OcdlV0dHR5l4VykYRERFq6mJBw6WX7r8qU7ZcUNdRxnHiqwFSo5i3uVeLMkmtEnllXr/a4ukWF+jcd/m+9Jy5V9VfJSKyJJMmTZKSJUuKm5ubBAYGyrZt21JdfsuWLWo5LO/v7y9TpkxJssyyZcukYsWKkiNHDjVdsWJFhl731KlT0rZtW/Hy8hJPT0+pW7euBAUFibnEfaMTEdEz0ekNsuXsHXXdM4ezBBa3rB9BCLpuOxdXj3PT6WApW9DT3KtERJQsZ2dn8fDwkDt37qiAl6Mjz8nbegYnApzBwcGSJ08eY5Db3PZeuiefrDhmvP1l20rSNL7GNdkOBK0XDagrPWbukdCIGFV26LUZu2Xe63XEO75xIxGROS1ZskSGDh2qAo4NGjSQqVOnSsuWLeXkyZNSrFixJMtfunRJWrVqJQMGDJD58+fLjh07ZPDgwVKgQAHp1KmTWmbXrl3StWtXGT16tHTo0EEFOLt06SLbt2+XOnXqpPl1L1y4IA0bNpR+/frJl19+qQKdCHoiKGouDgZLHRtiIcLDw9UbFRYWJrlz5zb36hCRhTpw5b50mrxTXW9VxVcmvRYoluTS3Ufy/I+b1fW6/nll8Rv1zL1KRGTHxz9Pe35kceIgXW8H9QEpDgKcvr6+4uAQ1/nanIJCIqTdr9vlfkRcRl/vesXly3aVxZYZdDq5M36CFBjyjjhYSKA5O52+FS6vTd8jIY/iMsjL+3rK/P51JL+N1V4ly6HT6+TXw7/KW9XfEidH+/vM2auMHF8h6BgQECCTJ082zqtQoYK0b99exowZk2T5kSNHyurVq1WwUTNo0CA5cuSICm4CApxYl7///tu4TIsWLcTb21sWLVqU5tft1q2bOiE9b948sRTM5CQiygSmDX2es6Ch6pqS+XOqbrCXQyJk/+X7Eh4ZI7ndLGdIIBGRKVdXVylTpgyHrNsJ/ECylAxO1GTs99s+Y4CzUZn88lnrimLrENj0GTZU7FV539yyZGBd6T59jwQ/iJLTtx5It2m7ZWH/OuKT23wZSWS7ENgcEjDE3KtBZoIAoykMGccluZO+Bw4ckA8//DDB/GbNmsnOnXEJNont2rVL3W+qefPmMnPmTImJiVH/5mKZYcOGJVlm3LhxaX5dnIhes2aNfPDBB+qxhw4dUkPbP/roIxUINRcGOYmIMrke53NlLafpkCkEX+fsvCyxeoPsOHdXWlYpZO5VIiJKEYapm3O4E9ln6Zl3Fh0y1q72L5BTJnYPEOf45n22zBATI5de6SIlf18qDhZUFzU7lfbxlCUD60n36bvlZliknA9+KK9O3y2L3qgrPp78LqLMFaOPkVf/elUWtV4kLo72+ZmzZ0WLFk1w+/PPP5cvvvgiyXJ3794VnU4nBQsmLJeC27du3Ur2uW/dupXs8rGxser5ChUqlOIy2nOm5XVRZubhw4fy7bffyldffSXfffedrFu3Tjp27CibNm2SJk2aiDnY/r/YRERZLDg8Uo5fjzsbV7lwbos94/98eZ9kg7JEREQk8s3aU7L5TFx9bS93F5nVu5aa2ouo06fF3mHky9KB9aRwHnd1+8KdRyq7886DKHOvGtmgM/fPmHsVyEyuXr2qhqxrF2Q/piZxKRdUnUytvItDMssnnp+W50xtGa2kULt27VRWaPXq1VXmZ+vWrZNtdGTRQc7Q0FCZMWOGeiPu3bun5h08eFCuX7+e2etHRGTxNsc3HLK0ruqJ1SmZV9xc4r72N525Y/zHjoiIyN4t2hskM7dfUtedHR1kco8AKZE/p7lXi8ygaF4PWfxGXWOgExmdyO5koJOIMgvqcZpekhuqDvnz51flXBJnbSKLMnGWpcbX1zfZ5dHYMV++fKkuoz1nWl4Xy+A50ZndFOp2mrO7erqDnEePHpWyZcuqVNQff/xRBTwB3ZieFn0mIrJFll6PU+Pm4iQNSuVX13GgfuJGwlowRERE9to88H+rjhtvj25fWerH/3tJ9ilxoBMlDNB1/e5DZnQSUfbWKA8MDJQNGzYkmI/b9evXT/Yx9erVS7L8P//8IzVr1lT1OFNbRnvOtLwulqlVq5acOZMwI/ns2bNSvHhxsZog5/Dhw6VPnz5y7ty5BHWS0Ep+69atmb1+REQWLUanl21n76rreTxcpHrRPGLJnjMdsn6aQ9aJiMi+hTyMkrcWHJQYXdzohr4NSsirtYuJ3XF2lnIHD6gpPQl0LhpQV/y84n7znr39MK4DOwOdlBkfOQdn2dN9j5oSPS0Gh5HUs2bNUh3TMTQcmZLomA5INuzVq5dx+UGDBsmVK1fU47A8HoemQ++//75xmXfffVcFNZG8ePr0aTXduHGjDB06NM2vCyNGjJAlS5bI9OnT5fz58zJx4kT5888/ZfDgwdYT5Ny3b58MHDgwyfzChQunWPiUiMhWHb4aKg+iYtX1xmUKiJNjyrVRLIFpU6Rt5+KCs0RERPbaaGjI4kNyKzxS3a5dMq980qqC2CWDQR7t3aum9ESxfB6q8VCh+EDnmdsP5LUZDHRSJnzkxCD7b+9XU6LUdO3aVXU9HzVqlKp7ieTCtWvXGrMlb968mWB4eMmSJdX9mzdvVsuPHj1axo8fL506dTIug2zMxYsXy+zZs6Vq1aoyZ84cFaysU6dOml8XOnTooOpvfv/991KlShUVFF22bJk0bNjQbG+qgyGdRdkw/h4dk2rUqCGenp5y5MgR8ff3V1Hgfv36qQKqtiQ8PFy8vLxUMVjUSiAiMvXzhrPyy7/n1PUfOleVV2om7JRniZ7/cbNcuvtI1Rw78nkzyZmDZ5CJKHuPf3h8RZbgx/VnZOKm8+p6Ac8csuadhhbbPDA7uqufrlJVyh87arfd1VNz+e4j6TZttzEgXt7XUxYOqCt5c7qae9XIirurB8wLkIM9D7K7uh3h8Y8FZnKicxIiuTExMeo2OishaowuSqaR4awyadIkFZnGUHnUCNi2bVuKyyJyjfVLfEE6LhFRZth+/kk2ZMMy1lG/q2HpuPWM1Rtkz6UQc68OERFRtvv31G1jgBOjMCa+WsNuA5z0dGhChRqdBXPHNQc5fSsuo/P+o2huPiIiaw5yotnQnTt3xMfHRx4/fixNmjSR0qVLq6zOr7/+WrIS0mdRI+CTTz6RQ4cOSaNGjVQt0Kd1bkIhVKTwapcyZcpk6XoSkX14EBmjhqtDqQI5pZBXXHF6S9cgPsgJHLJORET2JigkQoYtOWy8/WGL8lLHP67jLFHqgc564uMZF+g8dTNcBTpDIxjoJCKy2iAnhixt375djbP/9ttv5e2331bj8rds2SI5c+aUrDR27Fg1JL5///6qLT3qAxQtWlQmT56c6uMQkPX19TVenJycsnQ9icg+7L54T9XzMs2OtAb1SuUTrXToDpNMVCIiIlsXGaOTNxcckPDIuHraLSr5Sv9GJc29Wubn6CjevXqqKaWsZHxGpxboPMlAJ2X0IyeO0qNCDzUlosyT4U/UCy+8oLozffDBB9K0aVPJatHR0XLgwAFp1qxZgvm4vXPnzlQfi/qhhQoVkhdffFE2bdqU6rJRUVGqToLphYgoOaYBwoZlnjT0sXRe7i5StUgeY6fQ2/H1pYiIiGzd56tOyIkb4caA1Q+vVFXlrOydg5OT+H78sZpS6vwL5FLNiFDHFbA/9Zi5R8Ii4sq5EaWFk6OTjKw9Uk2JKPOkqdsEOjGl1ZAhQyQr3L17V3Q6nWp8ZAq3U+rqjsDmtGnTVO1OBC/nzZunAp2o1dm4ceNkHzNmzBj58ssvs+RvICLbrMeJWl51/POKNWlUJr9xqD2CtR0Diph7lYiIiLLU0n1XZcn+uCap7i5OMqVHoHi6sckOGGJj5UrPXlJ83lxxcGZDwqcphUDngLry6vTdcudBlBy/Hi49Z+2Ref3qqJPJRE8Tq4+Vvuv6yuwWs8XZkZ85osySpk/Tzz//nOA2anJGRERInjxxmUChoaHi4eGhhoVnVZBTk/hMK5rDp3T2tVy5cuqiqVevnur+jrqiKQU5P/roIxk+fLjxNjI5MSSeiMjUzbDHcj74obperYiX5LayH0moyznhv7iGC9vPMchJRES27fj1MPls1XHj7TEdq0g5X0+zrpNFMRjk8aFDakppU9oHgc460m3aHrn7MEqOXguTXrP2yrx+ta3uuJCyn0EMcvjOYTUlomwern7p0iXjBc2FqlevLqdOnZJ79+6pC64HBATI6NGjJavkz59f1dJMnLUZHBycJLszNXXr1pVz586leH+OHDlU3VHTCxFRYjvOh1jlUHVNQDFv8XB1Mmak4oQRERGRLcIw4sELDkpUrF7d7lm3uLSvUdjcq0U2oLSPpwp05svpqm4fuRoqvWftVc0piYjICmpyfvbZZzJhwoQEGZK4jmzPTz/9VLKKq6urGna+YcOGBPNxu379+ml+HnRlxzB2IqJnsf3cHeN1a2o6pHF1dpQ6JeOG2Ac/iJJz8VmpREREtkSvN8h7vx+WoHsR6na1onnk09YVzL1aZEPKFPSUhQPqSt74QOehoFDpM3ufPIyKa25FREQWHOS8efOmxMQkPTOFepm3b9+WrIRh5DNmzJBZs2ap7NFhw4ZJUFCQDBo0yDjUvFevXsbl0X195cqVKnPzxIkT6n50hUdHeCKijELW4/b4TM6crk5So1hc6Q5rgyHrmm3n2GWdiIhsz+QtF2TjqWB13dvDRSa9FiA5nNnoIwlnZymzc4eaUvqh9MGC/nXUPgYHrtyXPrP2MtBJKXJ2cJYtXbeoKRGZMciJxj0DBgyQ/fv3G4c34vrAgQOzvMt6165dVeBy1KhRasj81q1bZe3atVK8eHFjABZBT9OO7OgAX7VqVWnUqJFs375d1qxZIx07dszS9SQi23bm9gNVewnq+OcTF6d0f5VahEYmw+xNO8UTERHZAvzb9tM/Z9R1lPAf162GFM7jbu7VskwGg0SdO8+anM+gQqHcsqB/XckTH+jcf+W+vD57nzxiRicl95ETg1wIvcCanGS3DAaDXLlyRR4/fpypz+tgSGchNjQd6t27t6xbt05cXOK+wGNjY6V58+YyZ84c1XzIlqDxkJeXl4SFhbE+JxEpM7ZdlK/WnFLX/9e6orzesKRVbhl8/df+5l/VFRT1OQ//r5kaxk5ElNXHPzy+ouxoENh6/HYJeRStbg9rWlbebVqGGz4FhpgYOV2lqpQ/dlQc4n/jUcabXL02Y4+EPY4b/YjyQLP71hIPV2bs0RMx+hgJmBcgB3seFBdHfubsBY9/ntDr9eLm5qZGXZcpk3n/Pqf712yBAgVU9uTp06fl999/l6VLl6qh45hnawFOIqLkoFGPpmEZ66vHqXFwcDDWE42I1snhq6HmXiUiIqJnFh2rl7cWHDQGOJ8rV0DeeaE0tyxli8qFvWR+vzqS2y0uqLnn0j3pN2e/PI7W8R0gIorn6OiogpshIU8a+maGDKfslC1bVtq2bSvt2rVT14mI7OWH056L99R1H88cUsYnl1gz07qcps2UiIiIrNU3a0/JwaC4E3cYnv5zl+ri6Ohg7tUiO1KliJfM719HPOMDnbsuhkj/ufskMoaBTiIizffffy8jRoyQ48ePS2ZJd87866+/nur9aApERGSrDgbdl8fxB6jIgkQ2pDUz7Qy/7fxdGd6snFnXh4iI6Fn8eeSGzNl5WV13dXKUyT0CxDu+6zWlwsFB8rzSOa54KWWKqkXyyLx+daTnjD3yICpWdpwPkQFz98v0XjXFzYXNr+ydgzhIpzKd1JTIXvXo0UMiIiKkWrVq4urqKu7uCetm37sXl1yUpUHO+/fvJ7iNTuuIuoaGhsoLL7yQ7hUgIrImpg16TLMgrZWvl5vKRj0X/FCOXA2V8MgYye3GukBERGR9zgc/kJHLjhpvf9G2kgo00dM5ODtLodGjuakyWfWieeS3frWl18y4Tuvbzt2VN+YdkGk9AxnotHPOjs7yRf0vzL0aRGaFxuKZLd1BzhUrViRbMHTw4MHi7++fWetFRGSRbKUepykEaxHk1BtEdl0IkeaVfM29SkREROmCANLAeQdUjWnoFFBEXq1dlFsxjQyxsXL1jTek6LRpKuBJmSegmLf89notFeh8FK2TrWfvyKD5B2Rqz0DJ4cyMTnsVq4+VNze+KZObTlYBTyJ71Lt370x/TsfMKhg6bNgw+fnnnzPj6YiILBK6ZCLbEZD9WDC3m9iCRibBWtNMVSIiImtgMBjkw2VH5cKdR+p2eV9P+ap9ZasvKZOtDAZ5tHOXmlLmCyyeV+a8Xls8XOOCmpvP3JE35x+UqFjW6LRXBjHI7pu71ZTInl24cEE+/fRTefXVVyU4OFjNW7duneq6brYgp7ZisbGxmfV0REQWZ/fFEJXtaCtD1TV1/POJc3xDhu3nGOQkIiLrghqcfx29qa575nCWKT0CxT0+mERkKWqVyCuz+9QS9/h6nP+dDpa3FhxUTS2JiOzRli1bpEqVKrJnzx5Zvny5PHz4UM0/evSofP755xl6znTnRQ8fPjzJmdObN2/KmjVrsiTVlIjIUpgGAE2zH61drhzOUqNYHtl3+b5cvPtIroc+Vt1oiYiILN2BK/fk6zWnjLd/7FJNSuTPadZ1IkrtxPLsvrWk7+x9qpHlxlPB8tbCg/Jr9wBxdc60/CMiIqvw4YcfyldffaXijJ6ensb5zz//vPzyyy8Zes50f5MeOnQowQURVvjpp5+ypGgoEZGl0IZyI+sRB6m2pGHpAsbrO5jNSUREVuDuwygZvOCgxMYPsxjYxJ91pTPK2VlKbdyoppS16vrnk5l90GE97qf4hpO35Z1FByVGx4xOe+Ls4CzrOq1TUyJ7dezYMenQoUOS+QUKFJCQkJAMPWe6P1GbNm3K0AsREVkzZDciyxGQ9YjsR1vSsEw++Xlj3PVt5+9Kl1ps1kBERJYrVqeXdxYektvhUep2nZJ5ZUSzcuZeLetlMIju/j1x8SskwlqmWa5+qfwys3cteX3OPomK1cv6E7dlyKJDMv7VGuLixIxOe4BanPcj70uhnIXEQVg/mOxTnjx51MjwkiVLJpiPhMrChQtn6DnT/Q36wgsvSGhoXOMNU+Hh4eo+IiJbZJrdaEv1ODXVijwJ3O48f1f0WvFRIiIiCzR2w1nZdTEuy8PHM4dM6F5DnBkcyjidTi6/0kVNKXvgeHJ6r5rGYep/H78lQxcfVgF8sn06g05eXfOqmhLZq+7du8vIkSPl1q1bqlmgXq+XHTt2yPvvvy+9evXKniDn5s2bJTo6Osn8yMhI2bZtW4ZWgojI0iG70RbrcWrwwxDDpyDkUbScuhVu7lUiIiJK1saTt2XS5gvqupOjg/z6WoD4eLpxa5HVaVy2QIJA55pjN2XY0iMMdBKRXfj666+lWLFiKmsTTYcqVqwojRs3lvr166uO6xmR5vGWWu1NOHnypIq0anQ6nWrxntF0UiIiS4asRmQ3ArIdqxbJI7YIwduNp24bmyxV8vMy9yoRERElEBQSIcOWHjbe/qhledW1mshaNSlbQKb2DJSBcw9ItE4vfx65IY4OImO7VFdBfCIiW+Xi4iILFiyQUaNGqSHqyOSsUaOGlClTJsPPmeYgZ/Xq1VX6KC7JDUt3d3eXCRMmZHhFiIgs1elbD1R2I9T1z2uztZJMh+HvuBAiA5uUMuv6EBERmYqM0cmg+QfkQWSsut2qiq/0a5iwjhdlkIOD5G7dmvU4zeT5cj4yuUeA2r9jdAZZdfiGoHLQ2C7VbPa4096hDmerkq1Yj5Ps2rlz51RAs1SpUuqSGdL8jXnp0iW5cOGCGAwG2bt3r7qtXa5fv65qcr7++uuZslJERJZk+/k7xusNbbAep6ZUgZzimztuuN/eSyESFcsaQUREZDn+t+q4nLwZV07Fv0BO+a5TVZWAQc/OwdlZCv/4g5qSebxYoaBMfi1QXJzi9mlkdKK5VnQsa3TaImdHZ/mu8XdqSvQ0kyZNUs153NzcJDAw8KmlIrds2aKWw/L+/v4yZcqUJMssW7ZMDQ/PkSOHmq5YseKZXnfgwIHq3+Rx48al+Q0tV66cGhGO2pxTp06VM2fOSLYFOYsXLy4lSpRQ6aM1a9ZUt7VLoUKFxMnJ6ZlXhojIEm0/H9fYABraYD1ODf5R0v6+yBi9HLyStMkcERGROSzZFyRL919T191dnGRKj0DxdHPhm5FJDLGxcvWtt9WUzKdpxYJq33aNz95cd+KWyu5EFjPZllh9rAz5b4iaEqVmyZIlMnToUPnkk0/UkO5GjRpJy5YtJSgoKNnlL126JK1atVLLYfmPP/5YhgwZooKaml27dknXrl2lZ8+ecuTIETXt0qWL7NmzJ0Ovu3LlSvVYPz+/dL2Z6Kz+448/Su7cueXnn3+WChUqqPhit27dkg3MpoWDAamZT7F69Wr1x2C8PK6npm3btmJLkKHq5eUlYWFhasMTkX3BQWX1Uf+ooB+yHHd99IJNZ42sPHRdhi6Jq3X29vOl5f3m5cy9SkRkg8c/PL6i9Dh+PUw6Tt5pzGj7pVt1aVedvQAykyEmRk5XqSrljx0VBxcGj81t69k7MmDufomK3+dRN31az5ri7srEIlsRo4+RgHkBcrDnQXFx5GfOXmTk+KdOnToSEBAgkydPNs5DMLB9+/YyZsyYJMuPHDlSxe1OnTplnDdo0CAVzERwExDgxLr8/fffxmVatGgh3t7esmjRonS9LkZ2Y9n169fLyy+/rAKjuGTE+fPn5auvvlJ1OpFgif4/6ZWm3Gj8EWg05OPjo66nBD/8M7ISRESW6mDQfRXg1GpW2nKAE+qXjuuwDtvP32WQk4iIzCo0IlplsmkBzt71ijPASXbRdX1O39rS77d9EhGtk23n7krfOXtlZu9akjMHhzcT2Yvo6Gg5cOCAfPjhhwnmN2vWTHbu3JnsY3bt2qXuN9W8eXOZOXOmxMTEqORFLDNs2LAky2hDzdP6ughEIgt0xIgRUqlSpXT/feiovn37dtm8ebMaYn/48GEVSH3nnXekSZMmkhFp+obEiid3nYjI1qHLuAZn0W2dj6eblCvoKWduP5Cj10IlLCJGvDx4dpmIiLKfXm+Q4UuPyLX7j9Xt6kXzyCcvV+RbQXahXql8Mvf12tJn9j55GBUruy/ek16z9srsvrUkN0s1EFk1ZFGaQl1MXBK7e/euSiQsWLBggvm4jUTE5Ny6dSvZ5WNjY9XzYTh4Sstoz5nW1/3uu+/E2dlZDYfPCGSO5s2bVwVKP/30U2nYsKHKdH0WbNVGRJSKHefvJpvlaMu0Luvo6rnr4pN6pERERNlp0ubz8t/pYHXd28NFJr0WIK7O/PmSJZydxf/P1WpKlqNmibwyv38dye0W974cuHJfes7Yo05Ck3VzdnCWFW1XqCnZn6JFi6pgnnZJbti5qcSjCVF1MrURhg7JLJ94flqeM7VlkOn5yy+/yJw5czI82hHD2xFMnTdvnsydO1cWLlyYYJh9RqTpEzV+/Pg0P2FGI7hERJY4RO7o9TB1HdmNyHK0Bw3L5JNZOy4Zg7wtKvuae5WIiMgOR1KM3XBWXcdvp/Gv1hC/PO7mXi2ibIcM5oUD6krPmXvkfkSMHLkWJq9O362Cn3lzuvIdIbJCV69eTVCTM7ksTsifP79q8p04azM4ODhJlqXG19c32eWRcZkvX75Ul9GeMy2vi07ruF2sWDHj/QhYvvfee2rY++XLl5+6HdCwCI4ePaqGq//777/yxRdfqKDpc889J4sXL5YsCXKiy1FaYEUY5CQiW7HrQohordlsuat6YrVL5hNnRweJ1RsSZLISERFlh+uhj2XI4kNqRAEMb1pWGpUpwI2flWJj5WKbtqrxkLDxkMWpXNhLFr9RT16bsVvuPoyWkzfDpcvUXTKvX20p5MXgvzWKNcRKh9Ud4hoPObA0lL1BgDMtjYdcXV0lMDBQNmzYIB06dDDOx+127dol+5h69erJn3/+mWDeP//8IzVr1lT1OLVl8BymdTmxTP369dP8uhhi3rRp0yR1PTG/b9++kh5Vq1ZVAVLUDI2KipJ169bJ8uXLJSPSFOREC3oiInuzzSTA1zB+CLc9yJXDWWoUyyP7Lt+Xi3cfqR+bhZk9Q0RE2SAqVieD5x+Qe4+i1e3nyxWQt54vzW1Pdq+cr6cx0Hk7PErOBz+UzpN3qYzOkvlz2v32IbJVw4cPV4FDBCkRnJw2bZoEBQWpjunw0UcfqQ7nGO4NmD9x4kT1uAEDBqgmQ2g6pHVNh3fffVcaN26samoiaLlq1SrZuHGjagKU1tdFVqiWGapBEBVZouXKlZO0JlSi6RCyQh88eCDVq1dXDYcGDhyo1i8jnqkARHLj+omIbIWWxeji5CC1S+YVe4K6nAhyatuhS82i5l4lIiKyA1+sPqmG40KxvB4yrmsNcXTkbw0iKO2TS34fWF96zNwjQfci1InoV6bslN9ery2V/J6tWQcRWaauXbtKSEiIjBo1Sm7evCmVK1eWtWvXSvHixdX9mIfgo6ZkyZLqfmRp/vrrr+Ln56dKUHbq1Mm4DDI2MRQczX4+++wzKVWqlCxZskTq1KmT5tfNDAsWLFDD0hGMRVAzLdmtT+Ng0CKV6YAoMCKu586dU7fLlCkjQ4cOlf79+4stdr1CIdiwsLBM2eBEZB2u3ouQRt9vUtcR4Fw6sJ7YkwNX7kmnybvU9bbV/FQtNCKyH1l9/MPjK0rO0n1X5YNlR9X1HM6OsmJwA6nox+Pv7GCIjZVr7w6VIr+MEwc2H7J4weGRqtP66VsP1G1PN2eZ1aeW1CphXyflrVmsPlaGbx4uY58bK86ObD5kL3j8k/XS/WlClBcBznfeeUelrALSXxElRmHRr776KivWk4goW209d8cuh6prqhbJo4atP4yKVZmcer2BmTRERJRljl8Pk09XHTfe/qZDFQY4sxECm0V/nZidL0nPwCe3myx5o570nbNXDgaFyoPIWNWYaPJrgfJ8eR9uWyuAwOb4F9Le4JnIVoWGhqpESnRVxyjxChUqSL9+/dTJ9oxwTO8DJk+eLNOnT1ct7tu2basuuI7x+VOmTMnQShARWZptZ5/U42xc1v6aHbg4OUq9UnE1VkIexRW4JyIiygr3H0XLwHkHJDpWr273rFtcOgUW4cbO5kzO6++PUFOyDl4eLqoeZ6P45piRMXoZMHe/rDp83dyrRmnM5By5daSaEtmr/fv3q6HySKS8d++e3L17V13HvIMHD2ZPkBMdj1B4NDF0XorlP4pEZANidXrZcSEuyJnHw0WqFLbPGkemwd0tZ59kthIREWUWnd4g7y45rGoLAhrffda6IjdwdjMYJPyvv9SUrIeHq7PM7F1LXq5aSN2O1Rtk6JLDMm/XZXOvGj2FQQyy9tJaNSWyV8OGDVOJkxgVjm7qK1asUI3PW7durUpiZkuQs0ePHiqbMzFkcr722msZWgkiIkty+GrcsB+tAY+TnTY8aByfGQBbGeQkIqIs8MvGs8Z/Y/LncpVJrwWIq3O6f6IQ2S18XsZ3qyGv1i6mbiNO/dmqEzL2nzPGRsFERJaayTly5EhxNqkFjesffPCBui8jMlThFuPl//nnH6lbt666vXv3brl69ar06tVLtZnXjB07NkMrRURkTlvPPRmq3qSM/Q1V1xTPl1OK5/OQKyERcjDovqrPiTqdREREmWHjydsy/r/z6jpOKE54NUAKeblz4xKlEz4/33SorEYgTd58Qc3DZ+tmWKR807GKKkNERGRp0NwSneHLly+fYD7ii56enhl6znT/Wj1+/LgEBASo6xcuxH2BFihQQF1wnwYFQ4mIrJFp1mKjsvbXdMhU4zIFZF7IFYnRGWT3hRBpWrGguVeJiIhswKW7j2TY0sPG2yNblDPWgiYzcHKSEr8vVVOyTvj9PbJFecmfK4d8teakyuj8/cA1uf0gSmVI80S1ZXFycJJFLy9SUyJ71bVrV9Vk6Mcff5T69eur77Ht27fLiBEj5NVXX82eIOemTZsy9EJERNYgNCJajl4LVdfLFsxl9xklqMs5b/cVY8d5BjmJiOhZPYiMUQ1StNIwrar4yoBG/tyw5uTgIE7eedWUrFu/hiXFN7ebOomAZl44ed916i6Z3aeW6spOlsFBHMTbzVtNiezVjz/+KI6OjmpUuNbjx8XFRd5880359ttvM/SczFsnIjKx43yI6OPLFzWy46Hqmrr+ecU5viYp63ISEdGz0usNMmzJYTkf/FDdLuOTS77vXI2jwMwtNlYuNG2qpmT90Ihofr864uXuom6fuBEuHSbtlPPBD8y9ahQv1hArLZa1UFMiexMRESFvvfWWlCxZUhYuXCjt27eXzZs3y6FDh1SXdXRYz5EjR/ZkckZGRsqECRNURmdwcLDo9foE92e0zTsRkSUwDeSZdhe3V55uLhJQ3Fv2Xronl0MiJCgkQorl8zD3ahERkZUau+GsbDwVrK4jADOjd00OoyXKArVL5pVlb9aT3rP2yfXQx+rSafIu9ZmrVSIvtzkRmc3nn38uc+bMUc3L3d3dVaATscXff//9mZ873UHO119/XTZs2CCdO3eW2rVr86wrEdkMdKDcdu6OsVNlnZI8AIQmZQuoIKc2ZL1HvuJmfZ+IiMg6/XX0hkzcFNdoCIMEJnavoZrcEVHWKO3jKcsH15e+s/fJyZvhEvY4Rl6bsUd+6FxV2lUvzM1ORGaxfPly1dC8W7du6jaCnQ0aNBCdTidOz1gbOt1BzjVr1sjatWvVChAR2ZILdx7KjbBIdR0BTjcXFgKHRmXyyw/rzxgzXXvUZZCTiIjS58SNMBnx+1Hj7Y9bVWBZGEvi4CA569djTU4bVDC3mywdVE/enH9Atp27q+p0vrv4sFwIfihDm5YVx/iyRJS9UIuzbqG6rMlJdunq1avSqFEj420kUDo7O8uNGzekaNGiz/Tc6a7JWbhw4Qy3cicismRbzt5N0FWc4lT285K8OV3V9Z0XQiRGl7BMCRERUWpCHkbJG3MPyOMYnbrdMaCwao5ClsPB2VmKzZqlpmR70Fl9Vp9a0q3Wk+DB+P/Oy9uLDsrj6LjPJWUvZ0dnmd5supoS2RudTieurnG/LzUIcmrNh7I1yPnTTz/JyJEj5cqVuG67RES2YvOZuBphwHqcT+AMf8PS+dX1h1GxcuDKfTO8O0REZI1wYmzwgoOqHiBUK5pHvulQhSWvLIwhNlZufvaZmpJtcnFylDEdq8inL1dA4q6y9tgt6TJ1l9yKH8lE2SdWHytf7PxCTYnssUxcnz59pGPHjsYL+v8MGjQowbxsCXLWrFlTvbi/v7/K6MybN2+CCxGRNXoUFSt7LsbVnfTzcpOyBXOZe5UsyvPln2S2bjr9JBhMRESU2o+Y/606IXvi6zr7eOaQaT0DWQ7GEhkMEvr7H2pKtsvBwUH6N/KXmb1rSk7XuLJMx66HSbtft8uxa2HmXj27YhCDLDu3TE2J7E3v3r3Fx8dHvLy8jJcePXqIn59fgnkZke7c6FdffVWuX78u33zzjRQsWJBnYYnIJmw/f1ei44dhv1DBh99tiTQp66OaROgNIv+eDpaPWlUwx9tERERWZMa2S7Job5C67urkKFN6Bqr6gERkXi+ULyjLBzeQ1+fEdV6/HR4lr0zdKd93riZtq/nx7SGiLDV79uwse+50Bzl37twpu3btkmrVqmXNGhERmcF/p55kJ75YviDfg0RQkzOgmLfsv3Jfzgc/lKCQCCmWz4PbiYiIkrX+xC355u9Txtvfd66q/h0hIstQztdTVr3dQAbOO6BKEUXG6GXIokNy9GqofNiyvDg7pXvQJxGR2aX7m6t8+fLy+HFcTR1zmDRpkpQsWVLc3NwkMDBQtm3bluryW7ZsUctheQyxnzJlSratKxFZB73eIJvi63G6uThKvVL5zL1KFun58j7G6/+dvm3WdSEiIsuFYa9DFx82jnwe2rSMtK9R2NyrRalxcpJiv/2mpmQ/8ufKIQsH1JHOgUWM82ZsvyQ9Zu6Ruw+jzLputs7JwUlmNZ+lpkRkxiDnt99+K++9955s3rxZQkJCJDw8PMElKy1ZskSGDh0qn3zyiRw6dEi1nG/ZsqUEBcUNg0ns0qVL0qpVK7Uclv/4449lyJAhsmzZsixdTyKyLiduhEvwg7gDuQal8rNWWAperPAkyIkh60RERIndCH0s/X7bZ+yk3q66n7z7YhluKEvn4CA5ypRWU7IvOZyd5IfOVWV0u0rijNpEIrL74j1pM2G7HLkaau7Vs1kO4iCl8pRSUyLKPA4GVARPB0dHR2PRYlN4GsxDK/isUqdOHQkICJDJkycb51WoUEHat28vY8aMSbI8usCvXr1aTp16MlQG3ZqOHDmihtynBQK3KHgaFhYmuXPnlqzKIouMTbjdTL/sUjvWML0v8RdkwvsSP87k+VN7Th7okB34ZeM5+XnjWXX96w6V5bU6xc29ShYJ3/MNv9ukajehttqh/70kOXOku+oJ2TntsMP06MOQ+L4Ey2vLJH1c4mXsCQ7H8MM0q2T18U92HF9R9nsYFSuvTNklp27GJT7ULO4t8/vX4clDK2CIiZHTVapK+WNHxcHFxdyrQ2Zy4Mo9GTT/oNyJP/nv6uwoX7WrLF1qFeV7ksli9DESMC9ADvY8KC6O/MzZCx7/ZL10/zrdtGlTivchWzKrREdHy4EDB+TDDz9MML9Zs2aqTmhyEMjE/aaaN28uM2fOlJiYGHFJ5h/wqKgoddFkdXYqXLz7UJqO3SrWJlOCqInvTeE5E8daUwsCJ3xcosBvCjecHB3E2dFRXJwc1HUXJ0d1JhO1aIzzHB0lh4ujOlB31y6uTsbbudycJY+7i3jh4uGS4HpW/hClZ2c69Pr5ck+yFSkhfJ7QZX3+7iDVpAnNmppX8uVmslAIGD6IipWwiBgJexwjodr0cbSaRkbrJDJWL5ExOnWJMl7XS1Rs3BS3Y/UGdTJOZzCILv66mhd/W80zSNx1w5Nl49bB3FvBdjWrWFCm9app7tUgMorVxdXz0wKcxfJ6qH0Ux0lEZB0Ci+eVNe80lMELDqo67NGxevlg2VE5GHRfPm9TSf32ISKyqSBnkyZNEtzGGfgFCxbIjBkzVIYkhpNnhbt376osUXR0N4Xbt27dSvYxmJ/c8rGxser5ChUqlOQxyAj98ssvM3ntbVNyWTjJ3pn6s4g98PZwkUJe7uKXx01NC+VxEz8vdyns7S7++XNKvlw5zL2Kdiv4QaQcuRamrlcolFv88ribe5UsGpoyIcipNWtikNN8YnR6uRISIUH3HsmN0Eg1RPRm2JPprbBIFYwmIsqOkyqfrDgu/8WXMsnt5iyz+tRSTeuIyLr45HaThQPqyldrTsrcXVfUvMX7rsqhoFCZ2L2GlCnoae5VJCJKUYbHGf73338ya9YsWb58uRQvXlw6deqkMiSzWkrD5NOzfHLzNR999JEMHz48QSZn0aJZm56PM9wNSudLPniYKAaoDddLslziJ01wX8J7U3ucafWCpPel8LhEK5ncMMOnrX9qz59aRYV0PX8Kz4lryDyK0SE7Sa+ykdR1nV5ikLGk06sspWdxPyJGXU7GZzckFwQt7ZNLBdmqFPaSqkXySKkCOdnVMBtsPnPHeP1Fk8Y6lDw0ZUJzJmT5oVkTPjuO8fWbKOuERkTLseth6nL8epicvf1QLt99pDIqsxKGqaE0Ad5iZLTj4ugQNzVeHBzUPmCcOqKYvoMxzT65rHyHVLL+nyyTNLU/8TKmy9lbdZXyvvyRSZbj5w1nZcn+q+o6vjOm9AxUxzVkRRwcxL1GDfv7MqUU//0f1a6yVCuSRz5deVzV2D1z+4G0nbhDRrWrJK/U5PD1Z4Xjl+oFqrMmJ5E5g5zXrl2TOXPmqODmo0ePpEuXLmrYNxr5VKxYUbJS/vz5xcnJKUnWZnBwcJJsTY2vr2+yyzs7O0u+fMl3T86RI4e6ZKci3h6yoH/dbH1NSh9teCaGcOIf+chovZqqSzSmsfIgMvbJcND4KS73I6JVRtWt8EgVQE0OAqD7Lt9XF01OVyepWSKv1PXPJ3X986rAJwIKlLmQjZhc93BK5aRMqfyq8RCaNaFpU5UiXtxcmSzkYZTsuhgiuy+GyJ6L9+Rc8MN0Pd7TzVllixfwzKFKZqB0hlZCI0/8bXdXZ3FzjivBEXdxVKU1MMVtFdzkdw4RPcW83Vdk/H/n1XXEx8Z2rSb1S+XndrMyDs7OUmLRQnOvBlmYToFFpFpRL3lrwSEV5MRvnxF/HFXHKKPbVWZt9mfg7Ogs81rNy7w3i4jSF+REl/Lt27dL69atZcKECdKiRQsVdJwyZYpkB1dXVwkMDJQNGzZIhw4djPNxu127dsk+pl69evLnn38mmPfPP/9IzZo1k63HSZQS/NB3xcXZUTzdMrbvIMCJIt43wh6roCeGlF69FyHn7zyU88EP5Xb4k1qw8ChaJ1vO3lEXLdsTQbimFQpK47IFJBcbvjwz1Bvcdi5u+2JIXfWieZ79Se3ACxV8jN3VN5y6zSBnJjl3+4HanhtP3pZDV0NTrfqB7yKUukCmFKYos1Aoj7v4ebmpKb8fiCg7rDt+U/636rjx9mcvV5TWVf248a2QQaeT2999JwVHjhQHJ9ZdpCdK+3jKqrcbyJd/npBFe+MytpcfvC6Hr4bKxFcDpKIfm8dlhE6vkx/3/yjv13xfnBz5mSPK9iAngoNDhgyRN998U8qUKSPmgGHkPXv2VEFKBDCnTZsmQUFBqmO6NtT8+vXrMnfuXHUb8ydOnKgeN2DAANWICEPqFy1aZJb1J/uGLExfLzd1SQ6ag5y4ESZHr4fJ0Wuhsv/yfZUpZ5rtiQMKXJBp1aKSr3QMKCINSudnhmcGbT93VwWTtYZDzJRNe13OTyTuR+3647dk+EtlM/oW2L3g8EhZdfiGLDt4TU7fepDs9sB+Wbmwl9QomkeqFvFSJS38C+Ti/kpEZrX30j0Zsviw8YTMwCb+8nrDknxXrJVeL/fnzpOCI0aIMMhJiWCEx5iOVdUIs4+XH1PHzxfvPJL2v+6Q95uXlf4N/Tn6I70fOdHL/FPzZXjN4eIkDHISZXuQc9u2bWqYOgKM5cuXV8HGrl27SnbC64WEhMioUaPk5s2bUrlyZVm7dq2qCQqYh6CnpmTJkur+YcOGya+//ip+fn4yfvx4VT+UyNJgSGn90vnVRasbeunuI9lz6Z5sPXtHXbSAHOohrjx8Q10K5s4hr9UpLt3rFJP8bGCULn8ff1LOolUVdglPKwTqA4rlkYNBoWro0oU7D6VUAdZeSyt8tndeCJHZOy6pJh3JVbEoV9BTnitfQA35DCzuzcxMIrIoqA3cb84+1XkZOtYoLCOblzf3ahFRFmtXvbAqofX2woOqZBEaHH6z9rQ6nvnxlWqqDBsRkTk5pnVBZE5Onz5dBRIHDhwoixcvlsKFC4ter1dDxh88SD4DJbMNHjxYLl++LFFRUXLgwAFp3Lix8T7UC928eXOSbvAHDx5Uy1+6dMmY9Ulk6dCQA9lar9YuJpN7BMrB/70kc1+vLa/VKabq6WkwzH3shrNS/9v/5IM/jqghr/R0+GG24WRckBNDexuWYf2w9GhZuZDx+jqTYDGl3g196b6r0mLcNnltxh7ZeCphgLNGsTzyWeuKsnXE87J+WGP5qGUFacLSFERkYc7efiA9Z+6RB1Gx6jZK6HzXuSqzuIjsRMn8OWX54PryRmN/Y5+q3RfvSctx22TFoWupNo0looyZNGmSSuJzc3NTZRyRhJiaLVu2qOWwvL+/f7JlJrXeOuhJg+mKFSvS9brozzNy5EipUqWK5MyZUyUV9urVS27cuGEdQU6Nh4eHvP7666o+57Fjx+S9996Tb7/9Vnx8fKRt27ZZs5ZEpBqC4IfE1x2qyN5PXpQpPQLlpYoFVddjLWi3dP81aTZuqwxdfEhlgVLKdl64K+GRcT/QXqzgo7YvpV2Lyk8yX/8+fpObLhWxOr38ceCavPDTZvlg2VGV/aop5OUm77xQWv57r4msGNxA+jUsKcXyMQuCiCzT5buPpMeMPaqEDtQq4S1TegSIi1O6f1KQpXFykiJTJnOoOqUJjps/blVBFvavK4XzuKt5OPExbMkReXvhIdVAkZ7ykXNwkl9f/FVNiVKzZMkSGTp0qHzyySdy6NAhadSokbRs2TLBKGZTly5dUj11sByW//jjj1XpSQQ1NSjliJHSGKF95MgRNUVj8T179qT5dSMiIlRC4Weffaamy5cvl7Nnz5o9LuhgyIRTLTqdTjX4wXD21atXiy0JDw8XLy8vCQsLk9y5WVSZLM+1+xEyd9cVWbQ3SHV4N63j90pgEXmvWTnVYZkS+nDZUVm8L654On6gtTDJTKS0aTNhuxy7HqauI/uQwbmE8M/rhpO35dt1p1XdKlMY7o/adc0r+TI4QHZ5/MPjK+uDhomvTNkl10Mfq9uoD7xgQB3JncGGjGR5/2YZHj8WB3d3NZqIKK3CI2Pki1UnZPmh68Z5aOj5RdtK0qZqIe5PqXzmHsc+FndnfubsSUaOf+rUqSMBAQEyefJk47wKFSpI+/btZcyYMUmWHzlypIrLnTp1yjgPI5oRzERwExDgxLr8/fffxmXQXNzb29vYwya9rwv79u2T2rVry5UrV6RYsWJiDply2hVd1vGH2lqAk8gaoPYNzqTu/uhF+bBledWFXevmjiDeCz9ullnbL6lsMoqDbbH+RNwQa3cXJ2lS1oebJgNamtQxXXeC2ZymLt55KH1m75M35h1IEOBsVCa/LHuzniwf3EB1IGb2ExFZgzsPolQGpxbgRN1glNBhgNOGxMbKmYBANSVKD3wPjO1aXX7tHmAsqXXvUbQMWXRIBsw9ILfDI7lBk/vIGWKlzsI6akr2BwFG0wvKKyYnOjpalWls1qxZgvm4vXPnzmQfs2vXriTLN2/eXPbv36+GmKe2jPacGXldQPAWJ8ry5Mkj5sKxJUQ2ImcOZxnUpJRs/eB51e3a083ZOHRk1F8npfWE7XIw6L65V9NiOsJqQ+1eKO8j7q4cJvKsdTnXHmNdToiK1cmP68+ouptbzt4xbh8M6Vz8Rl2Z16+OBBbP+8z7MBFRdgl+ECmvTt8tF+PL4JTI5yHz+tcW75yufBOIyOjlqoVkw/DG0qLSk5PgG0/dlqZjt8iSfUGs1UlkomjRoiqjU7uklBl59+5dNXK6YMGCCebj9q1byf/+unXrVrLLx8bGqudLbRntOTPyupGRkfLhhx9K9+7dzToKOs3d1YnIOni6uciQF8uobus/rDsjS/bHDck+feuBdJ68UwY2KSVDm5ax6xqUa01qSJrWlqT0F54v7+up9q3DV0PVUEa/+LpM9tpt+L2lRxLU3PTzcpNPW1eUlpV9OVyLiKwOMrBUgDM+Ix219+b3ryM+nm7mXjUiskD4bpjSM1D+PnZTPlt1Qu4+jFLltEYuOyYrD92Q0e0rS2mfXOZeTSKzu3r1aoJAIJr/pCZxGRGUO0ittIhDMssnnp+W50zr6yJDtFu3bqoxOZoVmRMzOYlsVP5cOVS30xWD60vVIl5qHjo5T958QdpN3CEnbsTVUrQ3GMa/7vhtdT2Hs6M8X55D1Z9Fqyrsso7yB+P/PSftf91hDHC6ODnI28+Xlo3vNVHbiPXNiMja4MRV16m7EgQ4kZGOMjlkm3KUL2/uVSAb0bJKIdk4vLF0DChsnLfrYoi0/GWrfL/utDyO1pl1/SxFOe9y5l4FMhMEOE0vKQU58+fPr8pDJs6eDA4OTpJlqfH19U12eWdnZ8mXL1+qy2jPmZ7XRYATTYvQ8GjDhg1m72XDICeRjatRzFuWv1lfPmhRTgVeAJl3HX7dKfN3X7G7oSP7L99TZ5UB3epz5WBC+7NAhqI9d1kPDo+U7jP2yNgNZyUWZxFEpGKh3PLnOw3l/eblxMOV+xcRWWdTw67TdsnlkAh1u2hed1kysK4UzcsAp61ycHER/5Ur1JQoM+TxcJWxXarLnL61pIh33EifGJ1BJm2+oIawozmjPXNxdJE/2v6hpkQpcXV1lcDAQBU8NIXb9evXT/Yx9erVS7L8P//8IzVr1hSX+O/4lJbRnjOtr6sFOM+dOycbN240BlHNiUFOIjvg7OQog58rLavfbigVCsWdWYnW6eXTlcdl2JLDEhFtPwWvVx5+0vmxlUnjHMqYMgU9jcOO9l2+L1fvxf0gtgc7L9yVVuO3qxqv4OToIENeKC0r32og5X3NewaTiCijgkIipOvU3XL13mNjDc4lb9RjBqeNM+h0EvzzODUlykzPlfORDcOaqBEuWsIFmpgNmLtf+s3ZJ5fj6/3aG51eJ+MPjldTotQMHz5cZsyYIbNmzVId04cNGyZBQUGqYzp89NFH0qtXL+PygwYNUt3N8Tgsj8fNnDlT3n//feMy7777rgpqfvfdd3L69Gk1RZBy6NChaX5d1Pjs3Lmzami0YMECVcMTmZ+4oHGRuTDISWRHEOBc9VYD6dughHHeysM31PD1S3ZwgBEZo5O/jsRlG3q4OkmzigxyZoYONZ4MRVp28JrYOmQ/T9lyQXUa1rKCC3m5ydKB9WR4s3Li6sx/WonIOp26GS6dpuw0dlH3z59TFr9Rz67rLdsNvV5Cpk5VU6LMhiafGOGybmhjaVD6SabXv6eD5aWft8jov05KWHxTUHuhF71MPzZdTYlS07VrVxk3bpyMGjVKqlevLlu3bpW1a9dK8eLF1f03b95UwUdNyZIl1f2bN29Wy48ePVrGjx8vnTp1Mi6DbMzFixfL7NmzpWrVqjJnzhxZsmSJ1KlTJ82ve+3aNVm9erWa4v5ChQoZL6l1YM9qDgZ7G6uaTuHh4arbVVhYmNlrCxBlpjVHb8oHfxyRR/E1cfJ4uMiUHoFS19/8KeZZZdXh6/Lu4sPqeufAIvLjK9XMvUo24WbYY6n/7X+Cf00wpHHL+8+Lo2PKhbCtWXSsXj5afixBMLdRmfzyS7cakpedhsmGZPXxD4+vLA+y0vv9tk81CQFk6S9Ek6HcbDJkDwwxMXK6SlUpf+woh6xT1u5rBoP8dfSmCmwGP4g7WQzeHi4ytGlZ1TzVxcn2TxjH6GMkYF6AHOx5kEPW7QiPf7Ke7X97EFGyXq5aSFa/01DKFowbahwaESM9Z+6R3+O7sduiZQefDFXvFFDErOtiSwp5uUvD0vnVdQxv3Hc5bvi2rbn/KFp6zNyTIMD57otlZE7f2gxwEpFVQ208HANoAc7qRfPI7wPrMcBJRJkOzRjbVPOT/95/Tt55obRqBAr3I2Lk89UnpMW4reo7iblYRJQRDHIS2bFSBXLJsjfrS5OyBYzFwEf8cVR+XH/G5g4sboVFyvZzd9R1FD+vUzKvuVfJpiAz1paHrF8JeSQdJu0w1t/EAfmk1wJk2EtlVS1OIiJrtXhvkAyaf0CiYvXGpnwLB9QRb2an2xcnJyk87mc1JcoOaP75XrNyKtjZvrqfcf6FO49Uvc6Ok3eq+ue2ysnBSX5s8qOaElHmYZCTyM55urnIzN41pXe9uNoaMHHTefl4xXHRxXeLtgXLD10T7c9BFqetDqc2F9Q39YzvVI9SCLbUzOrkjXDpNPlJl+ECnjlU/c1WVQqZe9WIiDJMrzfImLWn5MPlx4z/3rer7iczetUUD9e473OyHw6OjpK7RQs1JcpOhfO4y7huNWTF4PoSWNzbOP9QUKh0n75HXpuxWw4F3be5N8XRwVGal2iupkSUefiJIiLVff3LdpXl8zYVxSE+9rdob5C8vfCgRMVaf8c/ZKUuO/Aku5BD1bOmoDxKIADqvK47fktsATI3u07bZWwwhPIO6J5erWgec68aEVGG4UTUmwsOyNStF43z+jUsKT93qc7maXZck/NU+QpqSmQONYp5yx+D6qkeAVo5LdhxPkQ6TNop/X/bL8euhdlUTc4qv1VRUyLKPAxyEpFR3wYlVQMV5/gsx7+P35K+s/dZfVbe4auhaugL1C6ZV4rl8zD3KtkkWxuy/t/phDXqAorlURmcyDggIrJWt8MjpevU3bL+xG11GyU3RrerJJ+1rshRDkRk9nqdLSr7yt/vNpafu1aTYnmfHLNvPHVb2kzcLr1n7TWWDyIiSoxBTiJKoG01P5nZp5a4u8TVh9l5IUT6WHmg8w+TLM7ObDiUZTDEqER8ABn7zbX7ccO7rTXAOWjeQWONuufKFZD5/etIHg9Xc68aEVGG7b98T1pP2C7HrocZa+KhZE3PeiW4VYnIYuDkS4caReTf95rINx2qiG9uN+N9W87ekS5Td0mXKbvUdVvrI0BEz4ZBTiJKAo2IFgyoI55ucTW5cLYUgc5HUdYX6Ax7HCMrDsV1VUfgtmUVX3Ovkk2ffddKAeB4c96uK2KNNp0JVgHOaF1cgLN11UIyrSdr1BGR9UIQYPaOS9Jt2m658yCu/Aay0tF88LlyPuZePbIQLsWLmXsViBJwcXKU7nWKyeYRz8lX7Sur5qGavZfvqaxOnLhZfvCaVZbYKubJzxxRZmOQk4iSFVDMWxb0Txjo7GuFgU50jY2I1hmHU6PREmWdbrWLiatT3D8tC/cGWd3+svlMsAycd8AY4GxTzU/GdWWNOiKyXhiJMXTJYfnyz5MSG99gqJ5/Pln1dgMp5+tp7tUjC+Hg4iKl169XUyJL4+biJD3qFpdN7z8nP71STUoVyGm878SNcBm+9Ig0/G6TjP/3nLGOuqVzcXSRNR3XqCkRZR4GOYkoRVWL5FGBztxaoPOydQU6Y3R6mbPzsvF23wYcjpfV0Hkc3XkBtSx/339VrMXWs3fkDQQ444eoo5HSz12qqcZcRETW6NTNcGk3cYesOnzDOG9gE3+Z16+25M+Vw6zrRpbFoNPJ3SlT1JTIkjM7OwUWkX+GNZFJrwVIlcJexvuQpT52w1mp/+1/8sEfR+TkjXCxZDq9TqYdnaamRJR5+MuNiNIQ6KxrlYHOtcduys2wSHW9aQUf8S/wpFMjZZ1+jUoar8/eeVl08ZlDlmzbuTsyYO5+Y4CzVRVf+aVrdQY4ichqh6fP2XFJ2v26Q84FP1Tzcro6yeTXAuSjlhX43UZJ6fVyZ9wvakpkDTU7W1UpJKvfbqA6suO4Lb5vqjqWW7r/mrQav03a/7pDluyzzJFFetHLhEMT1JSIMg+DnET0VFWKeCUJdPaZvdciDxhMf+DN3H7JeLtfQ3+zro89Ke+bWxqVya+uXwmJUN0wLdmO83el/2/7jU2GWlTylV+61WAQgIisEoZqvj5nn3zx50njiZsKhXLLqrcbSssqhcy9ekREmVoPvmaJvDLptUDZ+sHz8kZjf2OpLTh8NVRGLjsmtb/eKB8tPybHrsU1XSMi28UgJxGlK9Dp5R5XN2bf5fsWHejcf+W+HI0/kKlYKLfU9c9r7lWyK683fJLNaRpstjQ7z9+Vfr/tMwY4m1cqKBO611DDoYiIrAlO7v119IY0/3mrbDpzxzi/X8OSsvKt+lLah6MZiMh2FfH2kI9bVZDdH70oo9tVUid3NI+idbJob5C0mbhdWv2yTWZsuyi3w+NGexGRbeGvOCJKZ6CzToJAJ7JF0NTA0uDgRdO/UUl1ppeyT5MyBYw/qNG06ui1UIvb/LsuhMjrv+2TyJi4AOdLFQvKhFcDGOAkIquDH+uoKfz2wkMS8ihazcufy1Xm9K0ln7WuKDmcncy9imTpnJyk0DffqCmRNcuZw1l61isha4c0lFVvNZBXaxcVD9cn+/XJm+Hy1ZpTUnfMv/LajN2ydP9VCY+Myfb1dHJwktENRqspEWUeBwNO+1KKwsPDxcvLS8LCwiR37idng4js2fHrYdJ9+m4Jj4wLbtYvlU9m9q4l7iYHEOZ07vYDaTZuq+Dbzcczh2wf+YK4OvOcTnbDGXMMDdKGgE/pGSiWYvfFEFVb9nGMzlizFUOduJ8QZc/xD4+vModeb5Al+6/KN2tPqWZvGnznjm5fWTWDIyKydw+jYuXPIzdk8d4gOZLMkHUc/+FYsGXlQvJ8eR/JlePJkHeizMTjn6zHX/1ElG6VC3vJvH51xDP+AGDnhRB5Y95+iYwPGJnbmL9PqwAn9G1QkoErM+lQo7Cxe++6E7dk/+V7Ygn2JApwvljeR359LYD7CRFZlYNB96XDpB3qZJIW4MR3LpoL4aQSA5yUHoaYGDldI0BNiWwNgpav1i6mahP/+14TGfJCaSmez8N4P+oXrz12S95ZdEgCRm1QI9XQsCjkYVSWrVOMPkZqL6itpkSUeRjkJKIMqVY0j/zWr7bxTOe2c3dl0PwDEhWrM3sTmf9OB6vrhbzcpE/9EmZdH3vm5uIkw18qa7yNoUHmHjyw7/I96TvnSYDz+XIFZFKPAA7lJCKrERweKcOXHpaOk3YmyEjqFFBENg5vzOZClGGGx4+59cjmlSqQS4Y3Kyeb339OVgyur34r5Mvparw/WqdXvyXQsKjW1xuly9RdMm3rBTlz60GmH8c+juVnjiizMQ+biDIsoJi3qvfVa9ZeiYjWyeYzd+StBQfNNuwXw/a+XnPKeHtE83IWM4TeXnWpWURm77gk54Ifqg6Xa47dlNZV/cyyLsgk7RO/r8Jz5QrI5B6BDHASkVUIexyj6k2jmZv2PQblCnrK520qSv3S+c26fkRE1gT1+msU81aXT1+uIHsu3ZP1J27JPyduy634pkR6Q1xteVy+WXtaJVA0KVtAXRqUyS+53eL6FBCR5WCQk4ieSc0SeWV2n1rSJ37478ZTwfLOooMysXv2N3BZcei6KiYOlfxyS/vqhbP19SkpZydH1ekS2ZPw3brTqsFPdjfBOHDlnvSetVd114TGZQvIlB6BKtuUiMiSPYqKlTk7L8vULReMtbABTQCRLf9anWLqu5boWTn7+HAjkl3Cd2iD0vnV5Ys2leTo9TAV8Fx//JZcvPvIuNzNsEhZvO+qujg5Okj1onmkTsm8Utc/nwQW91ZNj9LDx52fOaLMxsZDT8HCsERps/PCXVW/RutU3QydqrvXyLZg1uNonbzw02Z18AEL+9dhVouFwNCenjP3yvbzd9VtnC3v38g/214fZ9+xb6LoPDQqk1+m96rJACdRKth4yPxCI6Jl/u4rMnvHZWPHdHBxclC15YY2LSt5TYZYEhFR5h/DIsi55cwd2XL2jmpcGRUb91snMWdHB6lSxEvqlMwndf3zSkBxb2Z6UhKML2U9BjmfgjshUdptP3dXXv9tnyrerQWTpvYMFA/XrE8aH/P3KZm65aKxkczMPrWy/DUp7U7cCJPWE7arhlBoWLX23UZSNO+Tgu9ZZfOZYBk4D7Vi4/bJhqXzy4zeDHASPQ2DnOZz9V6EGpK+dP/VBMPSHR1EOgYUkXdfLJMt359kXww6ndyfP1+8e/QQByeOciBKDpqsItCJgCcuF+88yfJMzMFBpHSBXCrbs3qxPGqK8iJa5r1Or5OFpxdK9/LdxcmRnzl7wfhS1mOQ8ym4ExKlz7Zzd+SNuQeMjV1qFvdWAUcMq8vKQBaGy2tnUdcNbSSlfTyz7PUoYz7444gs3X9NXceB3u+D6mVpSYO1x27Ku4sPSYwurkh8k/gh6qzTSvR0DHJmL53eIFvOBsvCPVdl05lgdds0uNmqSiGVuVnaJ1c2rxnZVXf1KlWl/LGj4uDCOoNEaW0Eh1qeCHxiej74YarLu7s4qWzPyn5eUq6Qh3x54A3Z1/dPyemagxvcTjC+lPUY5HwK7oREGWvw0nf2PnkQPzy4YqHcMqtPLfH1csv0zXk7PFJa/rJN7sUP5cvuodCUduGRMdJ6/HYJuhehbg9s7C8ftaqQJZtwwZ4r8tnK46pgPLSq4ivjutYwS0MsImvEIGf2uBLySJYfvK6yNrVyKxo3F0fpWrOovN6wpBTPlzOb1ojsFYOcRM/uzoMo2XMpRJVKOhQUKqduhkusyUmr5CBBAyew8HupQvyllE9O8c3tppojkW1hfCnrMcj5FNwJiTLm+PUw1XVdCz76eOZQdRCrFc2TaZsUmS6vzdgtuy/eMw5Tx1BkHhBYriNXQ6XzlJ3G7MrZfWvJ8+Uyr+h6rE4vX605pZp0aF4JLCJjOlZhYw6idGCQM+tcD30sa47ekL+O3pSj18KS3I8ftt3rFJOedYuLN2tuUjZhkJMoa4a3o2QTAp6Hr8Zdrt1/nKbH5nR1Ev8CuaRUgZxSqkCuuOs+OaVEvpysK2/FGF/KegxyPgV3QqKMw5CNvnP2ytV7cf+Y53B2lJ+6VJPWVf0ypRD49+vPyOTNF9TtQl5usnZII/4gtAKoNTf6r5PqOppmrBhcP1OylJAp+vbCQ7L17B3jvDca+8uHLcqLI8Z7ElHaP0/h4eLl5SVhYWGSO3fuTN9y9nR8hRNyR66FyubTwbLpzB05dj1pYBNfUS+U91ENhVBag93SySw1ORcvFu9u3ViTkygL3X0YpTI8Efxcd+aYRDzKKxfuPEpQpiQ1SO7EybCi3h5SJK+7mqJOc1FvdzUtmNtNdX4ny2RPxz/mwiDnU3AnJHo2IQ+jZND8A7Lv8n3jvN71isvIluUz3JBIrzfI6DUnVcdZwD/ki9+oK7VK5OXbZQUQoB4w94BsPHVb3c6fK4f89notqeTn9UwlEt7//YhcDokwdh/+qn1l6VqrWKatN5E9YZAz4/BDFT9g912+py67LoTI/YiYZJet5JdbnfhrX8NPCnm5P8OrEhGRNWd8Ijnk5I1wORf8QAU9L9x5qBrRpTH2aYRjYAQ6EQgt6OUmBT3dxNcrx5N5mHq5MRvUTBhfynoMcj4Fd0KiZxcVq5NPVhyXPw7ENZ2BEvk85MdXqknNdAYm0bkdwazVR24Y533epqL0bVCSb5UVCY2Illem7JJz8QXa0XF9Wq+aUq9UvnQfFI7dcFamb7uoOreDt4eLTO4RKHX90/dcRPQEg5xpP+l25V6ECmricuRamBy8cl8extekTg7qrrWs7Cutq/lJyfystUmWM1z9XOMmUmbrFjYeIsoGMfoYeXHpi/Jvl3/FxdElxePcKyERcvHOQxX0RPAT16/ef2wsCZZRuXI4qxFVuOTDJReu51DX1fxccfO9PVwlt7uLOlbnyCjzHV9NmjRJfvjhB7l586ZUqlRJxo0bJ40aNUpx+S1btsjw4cPlxIkT4ufnJx988IEMGjQowTLLli2Tzz77TC5cuCClSpWSr7/+Wjp06JCu10XyypdffinTpk2T+/fvS506deTXX39Vy5pLxtKoiIjSIYezk/zQuapUKewlY/4+JZExepVx98rUXdKtVlF5o3GpNP3QO3PrgXz55wnZeSHEmMGJWotdahbl+2Fl8ni4qu7qr8/ZJweDQlWTqt6z96qh5ahF5+bilOrjY3R6WXP0poz/75xcvPPIOD+gWB7VYKhYPo9s+CuIyJ5OzOCH5uWQR2qKy6W7D+X0rQcSEa1L9bH4YdiwTH5Vf7hJuQIqi4bIEunuPxl1Q0RZ735U6p85HA+X8/VUl8QeRcWq+p7I9rx6P0KVB4ubRsit8EgJTWEEgQYn43DRGoKmZZg8AqO53VzE081ZBT5xPbd73Ly4285qGXdXJzViD3VFteseahp3HY312EMh7ZYsWSJDhw5VAccGDRrI1KlTpWXLlnLy5EkpVizpqLVLly5Jq1atZMCAATJ//nzZsWOHDB48WAoUKCCdOnVSy+zatUu6du0qo0ePVoHNFStWSJcuXWT79u0qUJnW1/3+++9l7NixMmfOHClbtqx89dVX8tJLL8mZM2fE0zPpfpsdmMn5FMzkJMpcOPuITEwEtoxfRA4iLSr5So+6xaVqES/xdHNJcHYIPyInbjova4/dNGbrob7nr90DpGnFgnyLrNjjaJ28tfCg/Hc62DivYO4c8maTUtKlVtEEJQ2QMYUDMSyLup5o3qFxdXKU4c3KyoBG/qxDRJQJbDWTE/+mROv08jAyVsJxeRyj6vk+iL8e+jhGdccNxiU80ng9tczMxAp45pDaJfJKzRLeqoxKeV9P1tgki8fGQ0TZn8kZMC9ADvY8mGIm57NAFmhweJQKeOKCf9NuhWnXo+TuoygJeRgtYY9TD4ZmBfz283BBADQu+Onu4iSuzo7q913CqVOKt7ULbrs4Oap/Z9GpHkkwGLLv5OgoLvG3tfucnRzE2dHRZBlM429jvrrfQa2fo4ODODnEXc/MgGxGjn8QdAwICJDJkycb51WoUEHat28vY8aMSbL8yJEjZfXq1XLq1CnjPGRxHjlyRAU3AQFOrMvff/9tXKZFixbi7e0tixYtStPr4pgKWaIIhOI1ISoqSgoWLCjfffedDBw4UMyBmZxElK3QGfD3QfVlxraLMuG/8+qHIwKXfx+/pS7aUHYUzsY/xDhD+ThGl+QH5KTXAliD0wbg7O7UnoHyv1UnZNHeIDXvdniUfPHnSXXBe10sr4c6yDh5MzzZQENgcW+V0Vu2oHnOFhJRxr27+KC4uOUSnL+KO4llUFO9wWCcFzeNO8Ol5hu0+YYE92vXURMTpU1QKiVKTfUJbmsnyzJDEW93qVAotxqCjilqbGIeM1TIGjmaKeuGyF55umTdZw5ZoBjZ9LTRTRgddT8iWg1/v/cwWkIwfaRNo1RN6QcmJwXDH8ddxwnDjMK/w4+idepiDbSgp6Nx+uS6ug/BVHXddJm44CgCqKbL6qPSljmriY6OlgMHDsiHH36YYH6zZs1k586dyT5m165d6n5TzZs3l5kzZ0pMTIy4uLioZYYNG5ZkGQxHT+vrImP01q1bCV4rR44c0qRJE7UMg5xEZDfwZT+wSSnpVruYLNwTJLN2XFLZMhoMZdcayJhCg5pBTfzltTrFVXCMbAPOoCJI+VqdYjL+33Pyz8m4hkSA/cJ03zCFTsQDG/tL7ZJ5GVAgslL/nrojjjmelJywNBhq5xPfrKFEfg8pni+nFM8bP83nITlzMF+AbIODi4uU27fX3KtBZDeQvbmz+07zr4eTo/h4uqlLejNFtaDnA0wjY1VWaERUrCrjEhGtTZ9cxwiuR9Gxamp6H0qZ4URkepssZRcEZXUGg8SFZJ9tJbUgJ7IoTSE4iEtid+/eFZ1Op7IjTeE2AozJuXXrVrLLx8bGqucrVKhQistoz5mW19WmyS1z5coVMRcemRGR2Xi5u8ibz5WS1xuWUEPR91++LyduxDVvQLYNhh8gI6aot4c0KVtAXq1djMFNG1a5sJdqPnTiRpjM3XlFzgY/UPWF7j6MC3L6eblJRT8vlSnVqkqhZOsTERFpJSzUUDaXuOFtpkPgcDsX6oklqimGUim4jgxyXHw8czCISXbDoNdL6B9/SJ7OncXB0dHcq0Nk8/QGvSw/t1w6lukojg7W95lDpiguPpl4OB6rMx19kXAUhnYbGaRRMbr4adz8WL1eYnWGuKneEH/dIDrjfMxLeJ+2rC7J4/Qq2IoRIphiBIl2GyNFntxncn/8fG20Sdx9WD7psjGGuPe6aNGEPSU+//xz+eKLL1LcNolHiOB5Uxs14pDM8onnp+U5M2uZ7GQ1QU50ahoyZIiqLQBt27aVCRMmSJ48eVJ8TJ8+feS3335LMA91BXbv3p3l60tEaYcfnB1qFFEXwD9COBOIbn7s4md/Kvl5yXedqxpv42wvDmQQFCci2/Lfe03ialJhWBf+04Z0xQ8PU9fUkK+k87XjZ20IWNx9T4aIEVE66HRy63+fSx501mWQkyjL6Qw6+XLXl9KudDurDHJmBVU708lRciZNaLQZqibn9yJXr15NUJMzuSxOyJ8/vzg5OSXJ2gwODk6SQanx9fVNdnlnZ2fJly9fqstoz5mW18VzAJZBdmha1i07WM2nqXv37nL48GFZt26duuB6z549n/o4FE9Fu3vtsnbt2mxZXyLKOPzjli9XDgY4SUFpAgY4iWwThoKri6ebyp5EWZK8OV3FO6er5PFwFS8PF/X5R4YlOrZieDgakuF7QcsiMW06gHIoDHASERGRJUOA0/SSUpDT1dVVAgMDZcOGDQnm43b9+vWTfUy9evWSLP/PP/9IzZo1VT3O1JbRnjMtr1uyZEkV6DRdBrU8t2zZkuK6ZQeryOREVygENpGBqbWznz59unpj0Jq+XLlyKT4WO4sWYSYiIiIiIiIiIrIGw4cPVwl+CFIiBjZt2jQJCgpSHdPho48+kuvXr8vcuXPVbcyfOHGietyAAQNUkyE0HdK6psO7774rjRs3Vl3Q27VrJ6tWrZKNGzfK9u3b0/y6OKmMzurffPONlClTRl1w3cPDQyUpmotVBDnxpnh5eRkDnFC3bl01D12bUgtybt68WXx8fNSwdnR5+vrrr9XtlKDlPS6axAVhiYiIiIiIbIqjo/iMeJ9D1Ymy6yMnjjI8cLiaEqWma9euEhISIqNGjVKjkytXrqxGKBcvXlzdj3kIPmpKliyp7kf39F9//VX8/Pxk/Pjx0qlTJ+MyyLRcvHixfPrpp/LZZ59JqVKlZMmSJQlibk97Xfjggw/k8ePHMnjwYFViEo9HRqinp/l6JzgYtAqkFgzR4Dlz5sjZs2cTzC9btqz07dtXRa6TgzcpV65c6k1Ae3u8eegodeDAgRTTgVHs9csvv0wyPywsLEHNBCIiIiKbrhnl5ZVlxz9Z/fxERERElobHP1nPrKcNEFBEimtql/3796tlk6uv9LSuTYg8v/zyyyri3KZNG/n7779VoHTNmjUpPgYBUxxwaxcUhCUiIiIiIrJVhpgYOf/Ci2pKRFkvRh8jzf9orqZEZCPD1d9++23p1q1bqsuUKFFCjh49Krdv305y3507d9LVtQkdn5DVee7cuRSXQYZnSlmeREREREREtijmxg1zrwKRXbnxiJ85IpsKcqItPS5PgyKnyKrcu3ev1K5dW83bs2ePmpeerk2oJ4DMTNP29kRERERERERERGTdrKLKbYUKFaRFixaqMxQ6rOOC661bt07QdKh8+fKyYsUKdf3hw4fy/vvvq6ZFly9fVg2IMGQdQdUOHTqY8a8hIiIiIiKyMM5W0ZOWyGY4O/AzR2SXQU5YsGCBVKlSRZo1a6YuVatWlXnz5iVY5syZMyq7E5ycnOTYsWPSrl071aCod+/eaoqgpzk7PREREREREVkSBxcXqXD8mJoSUdZzcXSRQ70OqSkRZR6rOXWQN29emT9/fqrLmDaKd3d3l/Xr12fDmhEREREREVkvg14v4WvWSO6XXxYHR6vJgyGyWnqDXtZeWiutSrYSRwd+5ogyCz9NRERERERE9kynkxsjPlBTIsqGj5xBJx9t+0hNiSjzMMhJREREREREREREVs1qhqubizYEPjw83NyrQkRERJQttOMe01JAmYnHV0SWxRATIw91OvXZZ11OoqwXo48R3eO4zxzrctqPrD6+IgY5n+rBgwdqWrRoUe4vREREZHfHQV5eXpn+vCEhIWrK4ysiC5M/v7nXgMiu5H+Tnzl7lFXHVyTiYGAIOVV6vV5u3LihOrI7ODhYzdkB/Gi4evWq5M6d29yrQ1mA77F94PtsH/g+2wdre59xeIgDcD8/P3HMgiYkoaGh4u3tLUFBQTzIt/F9yZJw23Hbcd+zPvzcctvZ0n6X1cdXxEzOp8KOV6RIEavcV/Bh5MGvbeN7bB/4PtsHvs/2wZre56zMMNAO7PEa1rI9LI017UuWhtuO2477nvXh55bbzlb2O2ZwZi2GjomIiIiIiIiIiMiqMchJREREREREREREVo1BThuUI0cO+fzzz9WUbBPfY/vA99k+8H22D3yfuT24L5kfP4fcdtz3rA8/t9x23O8oPdh4iIiIiIiIiIiIiKwaMzmJiIiIiIiIiIjIqjHISURERERERERERFaNQU4iIiIiIiIiIiKyagxyEhERERERERERkVVjkNMK3b9/X3r27CleXl7qguuhoaGpPmb58uXSvHlzyZ8/vzg4OMjhw4eTLBMVFSXvvPOOWiZnzpzStm1buXbtWhb+JZTZ77PBYJAvvvhC/Pz8xN3dXZ577jk5ceJEgmUwD/uA6aVbt258M7LJpEmTpGTJkuLm5iaBgYGybdu2VJffsmWLWg7L+/v7y5QpU5Iss2zZMqlYsaLqPonpihUrsvAvoOx+j+fMmZPkM4tLZGQk3wwreZ9v3rwp3bt3l3Llyomjo6MMHTo02eXs5bOc3s8Iifq3PfF3gK+vLzdNCrZu3Spt2rRRx0PYVitXrkz38ZK9etq269OnT5J9sW7dumZbX0syZswYqVWrlnh6eoqPj4+0b99ezpw5k2AZ7nsZ33bc95I3efJkqVq1quTOnVtd6tWrJ3///Tf3uUzaftzvrA+DnFYIP5QQpFy3bp264DoCYKl59OiRNGjQQL799tsUl8GPLvygWrx4sWzfvl0ePnworVu3Fp1OlwV/BWXF+/z999/L2LFj/9/evQDLXP5xHH/iHMYtIbmdUK4NIowiHJFrSmNy3EYnyqQISYSExjS6kNBghlwmM+TWmJSh3ArHvRCVy3FJOIgYd/n95/P8/7v/3T179uye+8++XzPL7m+f/e1vn+f57T7n+3suZtq0aWb79u32D6DWrVuby5cv+6Xr27ev/aPbc5s5cyYFkgMWLVpkz7NRo0aZ3bt3m2bNmpn27dub48ePB02fnJxsOnToYNMp/ciRI83AgQNtIMRjy5YtpmvXrrZu/PLLL/b/hIQEs3XrVsr0LiljUaPL95zVTQEiuKOcdRGxdOnSNn3dunWDpomWcznSvMP/1apVy+87YO/evWRPiHavzjW1hzLTXopG6eWdtGvXzq8ufvvttzl6jHmVLlr279/fJCUlmTVr1pjbt2+bNm3a2Dz1oO5lPO+EupdaXFyc/Rt/x44d9tayZUvTqVMn74Ub6lzm8o9650IOXGX//v2Oii0pKcm7bcuWLXbbb7/9lu7rk5OTbdrdu3f7bb948aITGxvrLFy40Lvt5MmTTr58+ZxVq1Zl8adAdpTznTt3nLJlyzoTJkzwbrt+/bpTvHhxZ8aMGd5t8fHxzqBBgyiEXNCoUSOnX79+fttq1qzpvPPOO0HTDxs2zD7v69VXX3WeeOIJ7+OEhASnXbt2fmnatm3rdOvWLUuPHblXxnPmzLHnMdxbzr7S+g6OlnM5M3kXzcaMGePUrVs3tw/DldR2Wr58ecTtJaTOO0lMTHQ6depE9oQhJSXF5uGGDRuoe5nMO+peZEqUKOHMmjWL77tM5h/1zp3oyeky6umhocuPP/64d5uGiGjb5s2bM7zfnTt3mlu3btkrZh4aplK7du1M7Rc5V87qEXb69Gm/MtSQx/j4+FSvWbBggZ2WQL1Chg4dSs+FHHDz5k17nvmWj+hxWmWqehCYXtNO6CqjztdQaThv754yFvWsr1Spkr3arB726gEH95RzOKLhXM6uvIsWBw8etG0zDfXXNDNHjhzJ7UNypUjaSwhu/fr1dkhx9erV7eiglJQUsiqIf/75x/5fsmRJ6l4m8466Fx6NwNSoTPWA1bBrvu8yl3/UO3eKye0DQGTUKFOjIpC26bmM0msLFChgSpQo4be9TJkymdovcq6cPdtVZr70+NixY97HPXv2tH8gaWjWvn37zIgRI+zQSA0NQfY5d+6c/eEMVj6hyjRYeg3h0f7KlSuXZhrO27unjGvWrGnn5axTp465dOmS+eyzz+z0Izpvq1Wrlq2fCVlTzuGIhnM5u/IuGuii5/z5821Q6cyZM2b8+PGmSZMmdjhdqVKlcvvwXCXc9hKC0/QSXbp0sRfeFEAZPXq0Hd6pCxgKFuO/1BF2yJAhpmnTprbTCHUvc3lH3QtN05coKKf52osWLWqnoNPc3p4LN3zfZSz/qHfuRJAzj9Dk5+PGjQuZRnMGiSb4DvZjEGx7ZmXXfqNVTpRz4POBr9EVdw81HBQkadiwodm1a5epX79+2J8FGZNe+YSTPnB7pPuEu8pYvbh9F3VQgFPn6tSpU82UKVOy+OgRruw476LlXI6Wz5nVgSUPXfDQH2NVqlQx8+bNs8EARI56mDGaO9i3Hak2pAKeK1euNJ07d6Yq/s+AAQPMnj177DoH1L2syTvqXtq0sKHWb9AitZrXPTEx0c5z6sH3XcbyT4FO6p37EOTMQ1/m6a1wXblyZfuFryv4gc6ePZvqCk0k1KtPw8i0ordvb04NP1FPAeT9cvassqoeCur95VuGoeqGgiWxsbF2GBxBzuyj6QHy58+fqrdSqPJRmQZLHxMT4+25k1aazHwfIG+VcSCtzq0VSHXOwh3lHI5oOJezK++iUZEiRWywk++ByGW0vYTglIcKclIX/++NN94wK1assCvVa5oZ6l7m8466F5pGZFatWtXe14UHdZrRyJ/hw4fbbXzfZSz/gi3Oy3de3secnHmo4a8hiaFuWklXV+41R8m2bdu8r9XKq9qWmWBkgwYNbKDLd8iyVkvUcGaCnO4oZ88QdN8yVOBaV6FClaGGumnuP9+GPrLnx1PnWeC0AHqcVvmoHgSmX716tf3x1fkaKg3n7d1TxoHU601Xmzln3VPO4YiGczm78i4a3bhxwxw4cIDvgQzIaHsJwZ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size 1400x300 with 2 Axes>\"]},\"metadata\":{},\"output_type\":\"display_data\"}],\"source\":[\"ec.wavelet.plot()\"]},{\"cell_type\":\"markdown\",\"id\":\"ba245f77\",\"metadata\":{},\"source\":[\"We quickly see that, while the center frequency of the wavelet was specified to be $14.5$ Hz, there is actually a fair bit of energy that exists at frequencies higher than this. Its important to design our simulations so that they properly resolve all the frequencies we are interested in.\\n\",\"\\n\",\"#### Defining simulation parameters\\n\",\"\\n\",\"The final step in defining a simulation is pulling together all the above into a single reproducible `SimulationConfiguration`. A `SimulationConfiguration` is a unique identifier that brings together the model, the source wavelet parameterization, and a proxy of the resolution of the simulation together.\\n\",\"Depending on the application, sufficient accuracy is typically achieved with 7 to 10 grid points per wavelength, sometimes even less. By default, we use a polynomial degree of 4 in the spectral-element mesh, which gives 5 grid points per element. Here, we need to specify `elements_per_wavelength` and choose `1.0`.\\n\",\"\\n\",\"The question then remains: given a broadband source wavelet, which frequency do we want to mesh for? The wavelet plot above gives us a clue: the vast majority of the energy in the current wavelet is contained at frequencies below $30$ Hz. For our first attempt at matching the analytic solution then, we'll require that our mesh be generated using one element per wavelength at a frequency of $30$ Hz. As you are probably becoming familiar with by now, we can add the relevant `SimulationConfiguration` to our project as below.\"]},{\"cell_type\":\"code\",\"execution_count\":14,\"id\":\"46f86ed0\",\"metadata\":{},\"outputs\":[],\"source\":[\"p.add_to_project(\\n\",\"    sn.SimulationConfiguration(\\n\",\"        name=\\\"my_first_simulation\\\",\\n\",\"        max_frequency_in_hertz=30.0,\\n\",\"        elements_per_wavelength=1.0,\\n\",\"        model_configuration=mc,\\n\",\"        event_configuration=ec,\\n\",\"    )\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"3b081fe3\",\"metadata\":{},\"source\":[\"#### Visualizing the configuration\\n\",\"\\n\",\"So far, regarding our simulation, we have:\\n\",\"\\n\",\"* Defined a homogeneous material model\\n\",\"* Defined a Ricker wavelet source\\n\",\"* Set a resolution criterion\\n\",\"\\n\",\"In fact, this is all we need to do! Before we actually run the simulation though, it can be helpful to get a visual overview of what is about to happen. Salvus project provides a small convenience function to visualize a `SimulationConfiguration` directly in the notebook, as below. This function takes a list of events as well, for the purpose of overplotting sources and receivers on the resultant domain. Let's have a look.\"]},{\"cell_type\":\"code\",\"execution_count\":15,\"id\":\"f32e9de4\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"[2026-05-01 14:07:26,166] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Creating mesh. Hang on.\\n\"]},{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA9IAAAPMCAYAAACuT4E1AAAAAXNSR0IArs4c6QAAAARzQklUCAgI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\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2hZeq46FSjDKbmiWo2r56pTcgJkSPlGrY6rgmVpZcAMM3NFJY2nFdXp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\\nY7WWaB0AAAAASUVORK5CYII=\\n\"},\"metadata\":{\"needs_background\":\"light\"},\"output_type\":\"display_data\"},{\"data\":{\"text/plain\":[\"<salvus.flow.simple_config.simulation.waveform.Waveform object at 0x7e2eb7499510>\"]},\"execution_count\":15,\"metadata\":{},\"output_type\":\"execute_result\"}],\"source\":[\"p.viz.nb.simulation_setup(\\n\",\"    simulation_configuration=\\\"my_first_simulation\\\", events=p.events.list()\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"3c368305\",\"metadata\":{},\"source\":[\"Feel free to experiement with the dropdown menus and buttons. This visualization can really help debug obvious issues. At this point those of you familiar with older versions of Salvus might be wondering: Where did the mesh come from? In Salvus<i>Project</i> the complexity of mesh generation is moved into the background and is handled internally via a reference to the `SimulationConfiguration` object. While the benefits of this approach are small for small domains and homogeneous models, they will become much clearer when we consider 3-D models and domains with topography.\\n\",\"\\n\",\"#### Running the solver\\n\",\"\\n\",\"With everything ready to go, it's now time to run our first simulation! The `launch_simulations` command below takes a few arguments worth describing:\\n\",\"\\n\",\"* `site_name`: This is an identifier which tells Salvus*Flow* whether you're running on your local machine, some remote cluster, or perhaps the old chess computer in your grandfather's basement. As long as Salvus has been set up correctly on the specified site all data transfers to / from the local or remote machine will happen automatically. Additionally, if a job management system is present on the remote site Flow will monitor the job queue.\\n\",\"\\n\",\"* `ranks_per_job`: This is the number of MPI ranks the job will run on, and can range from 1 to whatever your license will allow.\\n\",\"\\n\",\"* `events`: A list of events for which to run simulations for.\\n\",\"* `simulation_configuration`: The configuration for which to run simulations for.\"]},{\"cell_type\":\"code\",\"execution_count\":16,\"id\":\"6dfd6afb\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"[2026-05-01 14:07:26,474] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Submitting job ...\\n\",\"Uploading 1 files...\\n\",\"\\n\",\"🚀  Submitted job_2605011407578969_be6775e5cc\\u001b[0m@\\u001b[34mlocal\\u001b[0m\\n\"]},{\"data\":{\"text/plain\":[\"1\"]},\"execution_count\":16,\"metadata\":{},\"output_type\":\"execute_result\"}],\"source\":[\"p.simulations.launch(\\n\",\"    ranks_per_job=2,\\n\",\"    site_name=SALVUS_FLOW_SITE_NAME,\\n\",\"    events=p.events.list(),\\n\",\"    simulation_configuration=\\\"my_first_simulation\\\",\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"eb71b63f\",\"metadata\":{},\"source\":[\"And that's it! The simulations are off and running. Salvus<i>Flow</i> will take care of abstracting the machine architecture, and Salvus<i>Project</i> will take care of saving all the output data into the correct location, copying it from any remote machines as necessary. We can get the current status of the simulations by calling `query_simulations()` as below. The parameter `block` specifies that we wait until all simulations are done.\"]},{\"cell_type\":\"code\",\"execution_count\":17,\"id\":\"af402219\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA9IAAACRCAYAAAAvt4CBAAAAAXNSR0IArs4c6QAAAARzQklUCAgI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\\ngg==\\n\"},\"metadata\":{\"needs_background\":\"light\"},\"output_type\":\"display_data\"},{\"data\":{\"text/plain\":[\"True\"]},\"execution_count\":17,\"metadata\":{},\"output_type\":\"execute_result\"}],\"source\":[\"p.simulations.query(block=True)\"]},{\"cell_type\":\"markdown\",\"id\":\"c5076952\",\"metadata\":{},\"source\":[\"## Visualizing waveforms\\n\",\"\\n\",\"Because the simulations are so small, they should not take more than a few seconds to run regardless of the machine. Once they are done, we can visualize the waveforms trace-by-trace.\"]},{\"cell_type\":\"code\",\"execution_count\":18,\"id\":\"33799f60\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA9IAAAGwCAYAAABFMF2mAAAAAXNSR0IArs4c6QAAAARzQklUCAgI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\\n8q0m1n4AAAAASUVORK5CYII=\\n\"},\"metadata\":{\"needs_background\":\"light\"},\"output_type\":\"display_data\"}],\"source\":[\"p.viz.nb.waveforms(\\\"my_first_simulation\\\", receiver_field=\\\"displacement\\\")\"]},{\"cell_type\":\"markdown\",\"id\":\"5df23873\",\"metadata\":{},\"source\":[\"Alternatively, we can query the waveforms to get access to more plotting options, such as `wiggles` or a `shotgather`.\"]},{\"cell_type\":\"code\",\"execution_count\":19,\"id\":\"f0a355a6\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"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size 1150x633 with 1 Axes>\"]},\"metadata\":{},\"output_type\":\"display_data\"}],\"source\":[\"p.waveforms.get(data_name=\\\"my_first_simulation\\\", events=[\\\"event_0\\\"])[0].plot(\\n\",\"    component=\\\"Y\\\", receiver_field=\\\"displacement\\\"\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"b1175aba\",\"metadata\":{},\"source\":[\"This concludes part 1 of the tutorial. With a few lines of code, we have created our first and fully reproducible simulation with Salvus. We will continue with the same `project` in the next part and compare the simulated seismograms to the semi-analytic benchmark.\"]}],\"metadata\":{\"jupytext\":{\"cell_metadata_json\":true},\"kernelspec\":{\"display_name\":\"Python 3 (ipykernel)\",\"language\":\"python\",\"name\":\"python3\"},\"language_info\":{\"codemirror_mode\":{\"name\":\"ipython\",\"version\":3},\"file_extension\":\".py\",\"mimetype\":\"text/x-python\",\"name\":\"python\",\"nbconvert_exporter\":\"python\",\"pygments_lexer\":\"ipython3\",\"version\":\"3.11.15\"}},\"nbformat\":4,\"nbformat_minor\":5}","notebook_widget_size_map":"{}","path_to_zip_file":"/2025.1.3/examples/tutorials/getting_started/tutorial.zip","zip_file_size":"202.56 kB"}},"pageContext":{"slug":"/2025.1.3/examples/tutorials/getting_started/tutorial_part1","pagePath":"2025.1.3/examples/tutorials/getting_started/tutorial_part1"}},
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