{ "cells": [ { "cell_type": "markdown", "source": [ "# Gaussian Process Regression (for large data)\n", "\n", "### Loading necessary packages" ], "metadata": {} }, { "outputs": [], "cell_type": "code", "source": [ "using AugmentedGaussianProcesses\n", "using Distributions\n", "using Plots" ], "metadata": {}, "execution_count": 1 }, { "cell_type": "markdown", "source": [ "We create a toy dataset with `x ∈ [-10, 10]` and `y = 5 * sinc(X)``" ], "metadata": {} }, { "outputs": [], "cell_type": "code", "source": [ "N = 1000\n", "x = (sort(rand(N)) .- 0.5) * 20.0\n", "σ = 0.01 # Standard gaussian noise\n", "\n", "function latent(x)\n", " return 5.0 * sinc.(x)\n", "end\n", "y = latent(x) + σ * randn(N);" ], "metadata": {}, "execution_count": 2 }, { "cell_type": "markdown", "source": [ "Visualization of the data :" ], "metadata": {} }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Plot{Plots.GRBackend() n=1}", "image/png": "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", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ], "image/svg+xml": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "execution_count": 3 } ], "cell_type": "code", "source": [ "scatter(x, y; lab=\"\")" ], "metadata": {}, "execution_count": 3 }, { "cell_type": "markdown", "source": [ "## Gaussian noise" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "In this first example we are going to look at the effect of using\n", "inducing points compared to the true Gaussian Process\n", "For simplicity we will keep all inducing points and kernel parameters fixed" ], "metadata": {} }, { "outputs": [], "cell_type": "code", "source": [ "Ms = [4, 8, 16, 32, 64];" ], "metadata": {}, "execution_count": 4 }, { "cell_type": "markdown", "source": [ "Create an empty array of GPs" ], "metadata": {} }, { "outputs": [], "cell_type": "code", "source": [ "models = Vector{AbstractGPModel}(undef, length(Ms) + 1);" ], "metadata": {}, "execution_count": 5 }, { "cell_type": "markdown", "source": [ "Chose a kernel" ], "metadata": {} }, { "outputs": [], "cell_type": "code", "source": [ "kernel = with_lengthscale(SqExponentialKernel(), 1.0);" ], "metadata": {}, "execution_count": 6 }, { "cell_type": "markdown", "source": [ "And Run sparse classification with an increasing number of inducing points" ], "metadata": {} }, { "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ Info: Training with 4 points\n", " 3.575394 seconds (10.67 M allocations: 539.046 MiB, 4.09% gc time, 98.20% compilation time)\n", "[ Info: Training with 8 points\n", " 0.009215 seconds (13.70 k allocations: 25.667 MiB)\n", "[ Info: Training with 16 points\n", " 0.022958 seconds (13.70 k allocations: 46.256 MiB)\n", "[ Info: Training with 32 points\n", " 0.083478 seconds (13.70 k allocations: 90.278 MiB)\n", "[ Info: Training with 64 points\n", " 0.207054 seconds (14.71 k allocations: 190.037 MiB, 8.83% gc time)\n" ] } ], "cell_type": "code", "source": [ "for (index, num_inducing) in enumerate(Ms)\n", " @info \"Training with $(num_inducing) points\"\n", " m = SVGP(\n", " kernel, # Kernel\n", " GaussianLikelihood(σ), # Likelihood used\n", " AnalyticVI(), # Inference usede to solve the problem\n", " range(-10, 10; length=num_inducing); # Simple range\n", " optimiser=false, # Keep kernel parameters fixed\n", " Zoptimiser=false, # Keep inducing points locations fixed\n", " )\n", " @time train!(m, x, y, 100) # Train the model for 100 iterations\n", " models[index] = m # Save the model in the array\n", "end" ], "metadata": {}, "execution_count": 7 }, { "cell_type": "markdown", "source": [ "Train the model without any inducing points (no approximation)" ], "metadata": {} }, { "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ Info: Training with full model\n", " 0.861696 seconds (249.30 k allocations: 380.366 MiB, 2.13% gc time, 10.98% compilation time)\n" ] } ], "cell_type": "code", "source": [ "@info \"Training with full model\"\n", "mfull = GP(\n", " x,\n", " y,\n", " kernel;\n", " noise=σ,\n", " opt_noise=false, # Keep the noise value fixed\n", " optimiser=false, # Keep kernel parameters fixed\n", ")\n", "@time train!(mfull, 5);\n", "models[end] = mfull;" ], "metadata": {}, "execution_count": 8 }, { "cell_type": "markdown", "source": [ "Create a grid and compute prediction on it" ], "metadata": {} }, { "outputs": [], "cell_type": "code", "source": [ "function compute_grid(model, n_grid=50)\n", " mins = -10\n", " maxs = 10\n", " x_grid = range(mins, maxs; length=n_grid) # Create a grid\n", " y_grid, sig_y_grid = proba_y(model, reshape(x_grid, :, 1)) # Predict the mean and variance on the grid\n", " return y_grid, sig_y_grid, x_grid\n", "end;" ], "metadata": {}, "execution_count": 9 }, { "cell_type": "markdown", "source": [ "Plot the data as a scatter plot" ], "metadata": {} }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Plot{Plots.GRBackend() n=17}", "image/png": "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", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ], "image/svg+xml": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "execution_count": 10 } ], "cell_type": "code", "source": [ "function plotdata(x, y)\n", " return Plots.scatter(x, y; alpha=0.33, msw=0.0, lab=\"\", size=(300, 500))\n", "end\n", "\n", "function plot_model(model, x, y, title=nothing)\n", " n_grid = 100\n", " y_grid, sig_y_grid, x_grid = compute_grid(model, n_grid)\n", " title = if isnothing(title)\n", " (model isa SVGP ? \"M = $(dim(model[1]))\" : \"full\")\n", " else\n", " title\n", " end\n", "\n", " p = plotdata(x, y)\n", " Plots.plot!(\n", " p,\n", " x_grid,\n", " y_grid;\n", " ribbon=2 * sqrt.(sig_y_grid), # Plot 2 std deviations\n", " title=title,\n", " color=\"red\",\n", " lab=\"\",\n", " linewidth=3.0,\n", " )\n", " if model isa SVGP # Plot the inducing points as well\n", " Plots.plot!(\n", " p,\n", " model.f[1].Z,\n", " mean(model.f[1]);\n", " msize=5.0,\n", " color=\"black\",\n", " t=:scatter,\n", " lab=\"\",\n", " )\n", " end\n", " return p\n", "end;\n", "\n", "Plots.plot(\n", " plot_model.(models, Ref(x), Ref(y))...; layout=(2, 3), size=(800, 600)\n", ") # Plot all models and combine the plots" ], "metadata": {}, "execution_count": 10 }, { "cell_type": "markdown", "source": [ "## Non-Gaussian Likelihoods\n", "We now look at using another noise than Gaussian noise.\n", "In AGP.jl you can use the Student-T likelihood,\n", "the Laplace likelihood and the Heteroscedastic likelihood" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "We will use the same toy dataset for our experiment" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "Create an array of model with different likelihoods:" ], "metadata": {} }, { "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ Info: Training with the Student-t likelihood (ν=3.0, σ=1.0)\n", " 2.735875 seconds (1.84 M allocations: 702.553 MiB, 3.67% gc time, 29.42% compilation time)\n", "[ Info: Training with the Laplace likelihood (β=3.0)\n", " 2.524591 seconds (1.27 M allocations: 672.748 MiB, 1.26% gc time, 24.88% compilation time)\n", "[ Info: Training with the Gaussian likelihood with heteroscedastic noise\n", " 5.293099 seconds (3.94 M allocations: 1.389 GiB, 1.70% gc time, 27.28% compilation time)\n" ] }, { "output_type": "execute_result", "data": { "text/plain": "Gaussian Process with a Gaussian likelihood (σ² = 0.01) infered by Analytic Inference " }, "metadata": {}, "execution_count": 11 } ], "cell_type": "code", "source": [ "likelihoods = [\n", " StudentTLikelihood(3.0), LaplaceLikelihood(3.0), HeteroscedasticLikelihood(1.0)\n", "]\n", "ngmodels = Vector{AbstractGPModel}(undef, length(likelihoods) + 1)\n", "for (i, l) in enumerate(likelihoods)\n", " @info \"Training with the $(l)\" # We need to use VGP\n", " m = VGP(\n", " x,\n", " y, # First arguments are the input and output\n", " kernel, # Kernel\n", " l, # Likelihood used\n", " AnalyticVI(); # Inference usede to solve the problem\n", " optimiser=false, # Keep kernel parameters fixed\n", " )\n", " @time train!(m, 10) # Train the model for 100 iterations\n", " ngmodels[i] = m # Save the model in the array\n", "end\n", "\n", "ngmodels[end] = models[end] # Add the Gaussian model" ], "metadata": {}, "execution_count": 11 }, { "cell_type": "markdown", "source": [ "We can now repeat the prediction from before :" ], "metadata": {} }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Plot{Plots.GRBackend() n=8}", "image/png": "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", "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ], "image/svg+xml": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "execution_count": 12 } ], "cell_type": "code", "source": [ "Plots.plot(\n", " plot_model.(\n", " ngmodels, Ref(x), Ref(y), [\"Student-T\", \"Laplace\", \"Heteroscedastic\", \"Gaussian\"]\n", " )...;\n", " layout=(2, 2),\n", " ylims=(-8, 10),\n", " size=(700, 400),\n", ")# Plot all models and combine the plots" ], "metadata": {}, "execution_count": 12 }, { "cell_type": "markdown", "source": [ "---\n", "\n", "*This notebook was generated using [Literate.jl](https://github.com/fredrikekre/Literate.jl).*" ], "metadata": {} } ], "nbformat_minor": 3, "metadata": { "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", "version": "1.7.3" }, "kernelspec": { "name": "julia-1.7", "display_name": "Julia 1.7.3", "language": "julia" } }, "nbformat": 4 }