double_pendulum_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Double Pendulum\n",
    "\n",
    "\n",
    "## Introduction\n",
    "Let us approach a particularly interesting problem, the double pendulum. The double pendulum system we will explore exhibits chaotic behavior.\n",
    "\n",
    "## Prerequisites\n",
    "Part of the battle, you will find, is in deriving the differential equations to model the system in question. Therefore, it is useful to make a few notes on notation and methods.\n",
    "\n",
    "### Notation\n",
    "It is common to denote the time derivative of a time-dependent quantity with a dot over it. For example, $\\dot q$ is shorthand for $\\frac{dq}{dt}$. This is read as \"q dot\". Similarly, $\\frac{d^{2}q}{dt^{2}}$ is expressed as $\\ddot q$, and this is read \"q double dot\".\n",
    "\n",
    "\n",
    "  \n",
    "\n",
    "### Lagrange's System of Mechanics\n",
    "Sometimes, it is more useful to solve a problem by finding a trajectory. More specifically, given a set of initial conditions, we find the path of least action. This is fulfilled by Lagrangian Mechanics, with the flagship formula to use being the Euler-Lagrange equation: \n",
    "$\\frac{d}{dt}(\\frac{\\partial L}{\\partial \\dot q_i}) - \\frac{\\partial L}{\\partial q_i} = 0$ for all $i$ degrees of freedom, where $L$ is defined as $L = T - V$, with $T$ being the Kinetic Energy of the system, and $V$ being the Potential Energy. In addition, a generalized (not necessarily Cartesian) system of coordinates may be utilized. For a system to be solved by the Euler-Lagrange Equation, it must meet the following criteria: \n",
    "   \n",
    "1. Independence - the system is able to move when all but one of its coordinates are fixed  \n",
    "2. Completeness - chosen coordinates exist without disappearing in the system\n",
    "3. Holonomicity - the number of degrees of freedom in the system matches the number of coordinates  \n",
    "\n",
    "This description is intentionally vague, simply because the focus is not on Lagrangian Mechanics. It is highly recommended to formally look into Lagrangian Mechanics, and pay close attention to the derivation of the Euler-Lagrange Equation.     \n",
    "\n",
    "## Derivation of Differential equations  \n",
    "### The Problem\n",
    "A massless rod of length $l_1$ is attached to the wall, and is free to rotate around its fixed point. At its end is a point mass $m_1$. So far, this is identical to the setup for a simple pendulum. Attached to $m_1$ is another massless rod of length $l_2$, with a mass $m_2$ attached to its end. This second rod is free to rotate about $m_2$. One may find it useful to look at an image of a setup of the double pendulum.\n",
    "  \n",
    "### The Approach\n",
    "We start by setting up a Cartesian System of coordinates for this problem. We choose the origin to be the fixed point of $l_1$. Now, we choose to describe the position of $m_1$ with Cartesian coordinates $x_1$ and $y_1$. Defining $X_2$ and $Y_2$ as the position of $m_2$ with respect to $m_1$, we can write the position of $m_2$ with respect to the origin as $x_2 = x_1 + X_2$ and $y_2 = y_1 + Y_2$ (do note the difference between $x_2$ and $X_2$).  \n",
    "We intend to approach this situation using the Euler-Lagrange Equation. Therefore, we test the conditions. \n",
    "\n",
    "#### Independence\n",
    "When checking for independence, it helps to imagine a single pendulum (with who degrees of freedom, $x_1$ and $y_1$). If we were to fix $x_1$, the system would be unable to move. In other words, $y_1$ cannot change without a change in $x_1$. This is the same reason why a circle in rectangular coordinates is dependent on both its $x$ and $y$ components (consider how this relates to the trajectory of the single pendulum). The same argument invalidating the compatability of the Cartesian single pendulum with the Euler_Lagrange equation can be translated to the double pendulum. So the bottom line is that, before going forward, we must choose a different set of coordinates that will allow us to meet the condition of independence. We first test polar coordinates. Instead of $x_1$ and $y_1$ for $m_1$, and $x_2$ and $y_2$ for $m_2$, we can use $\\theta_1$ and $\\theta_2$ for $m_1$ and $m_2$, respectively. We measure $\\theta_1$ from the fixed point of the rod connecting $m_1$ to its pivot, and $\\theta_2$ about $m_1$ (the fixed point of the rod connecting to $m_2$). Now we test for independence again. Fixing $\\theta_1$ still allows $\\theta_2$ to change, and vice versa. As a result, the first condition for Lagrangian Mechanics is satisfied. \n",
    "\n",
    "#### Completeness\n",
    "Next, we check for completeness. Based on the definition, this is pretty straightforward. There is nothing in the system that makes the chosen coordinates disappear at certain points in time, so the second condition is satisfied.\n",
    "\n",
    "#### Holonomicity\n",
    "The system has two degrees of freedom about each pivot point, and two coordinates to describe them. Therefore, the third and final condition is satisfied, and we are free to approach the problem using Lagrangian Mechanics.\n",
    "\n",
    "# Solution  \n",
    "For the Euler-Lagrange, we need to first find equations for the kinetic and potential energies. Kinetic energy for this system, denoted $T$, takes the form $\\frac{1}{2} m_1 \\dot q_1 + \\frac{1}{2} m_2 \\dot q_2$, where $\\dot q_i$ is the velocity of mass $$m_i$.  However, we can also express this as the sum of the velocity of each coordinate, bringing the equation to $T = \\frac{1}{2} m_1 (\\dot x_1 ^ {2} + \\dot y_1 ^ {2})  + \\frac{1}{2} m_2 (\\dot x_2 ^ {2} + \\dot y_2 ^ {2})$. Similarly, potential energy, denoted $V$, is $V = m_1 g y_1 + m_2 g y_2$. Before we can do anything with this, we have to convert to polar.\n",
    "\n",
    "We measure $\\theta_1$ from the vertical. We can now write the $x_1$ as $l_1\\sin\\theta_1$, and $y_1$ as $-l_1\\cos\\theta_1$ (given our corrdinate system). We measure $\\theta_2$ from the vertical as well. Reviewing how we chose to define the position of $m_2$, it should be very clear why the polar equivalent is $l_1\\sin\\theta_1 + l_2\\sin\\theta_1$ for $x_2$, and $-l_1 \\cos\\theta_1 - l_2\\cos\\theta_2$ for $y_2$.  \n",
    "\n",
    "In order to write the Kinetic Energy, let's first differentiate each of our coordinates with respect to time.  \n",
    "Starting with $x_1$, $\\frac{d}{dt} x_1 = l_1 \\frac{d}{dt} \\sin \\theta_1$.  \n",
    "Using the chain rule, this is simply $l_1 \\cos (\\theta_1) \\dot \\theta_1$.  \n",
    "Utilize a similar approach for $\\dot y_1$. The result should be $l_1 \\sin(\\theta_1) \\dot \\theta_1$.  \n",
    "  \n",
    "Now, $x_2$: $\\frac{d}{dt} x_2 = \\frac{d}{dt} x_1 + \\frac{d}{dt} l_2 \\sin \\theta_2 = l_1 \\cos (\\theta_1) \\dot \\theta_1 + l_2 \\cos (\\theta_2) \\dot \\theta_2$.  \n",
    "\n",
    "The same approach for $$y_2$ returns $\\dot y_2$ should yield $l_1 \\sin (\\theta_1) \\dot \\theta_1 + l_2 \\sin (\\theta_2) \\dot \\theta_2$.\n",
    "\n",
    "## Kinetic Energy\n",
    "We can write the KE for the system as $T = T_1 + T_2$, where $T_1$ is the KE of the first rod, and $T_2$ is the KE of the second rod.  \n",
    "\n",
    "\n",
    "Let's start with $T_1$:  \n",
    "$T_1 = \\frac{1}{2}m_1 (\\dot{x_1}^2 \\dot{y_1}^2) = \\frac{1}{2}m_1(l_1^{2}\\cos^{2}\\theta_1 \\dot{\\theta_1^{2}} + l_1^{2}\\sin^{2}\\theta_1 \\dot{\\theta_1^{2}})$  \n",
    "Simplifying a little,  \n",
    "$\\frac{1}{2}m_1 l_1^{2}\\dot{\\theta_1^{2}}(\\cos^{2} + \\sin^{2})$.  \n",
    "With a healthy dose of trigonometric identities, namely, $(\\cos^{2} \\alpha + \\sin^{2} \\alpha) = 1$,  \n",
    "$T_1 = \\frac{1}{2}m_1 l_1^{2}\\theta_1^{2}$.  \n",
    "  \n",
    "We have a little more work for $T_2$:  \n",
    "$T_2 = \\frac{1}{2}m_2((l_1\\cos\\theta_1 \\dot{\\theta_1} + l_2\\cos\\theta_2 \\dot{\\theta_2})^{2} + (l_1^{2}\\sin^{2}\\theta_1 \\dot{\\theta_1} + l_2^{2}\\sin^{2}\\theta_2 \\dot{\\theta_2})^{2})$.  \n",
    "Expanding,  \n",
    "$\\frac{1}{2}m_2[(l_1^{2}\\cos^{2}\\theta_1 (\\dot{\\theta_1}^{2}) + l_2^{2}\\cos^{2}\\theta_2 (\\dot{\\theta_2}^{2}) + 2 l_1 l_2 (\\cos \\theta_1)(\\cos \\theta_2) \\dot{\\theta_1}\\dot{\\theta_2}) + (l_1^{2}\\sin^{2}\\theta_1 (\\dot{\\theta_1}^{2}) + l_2^{2}\\sin^{2}\\theta_2 (\\dot{\\theta_2}^{2}) + 2 l_1 l_2 (\\sin \\theta_1)(\\sin \\theta_2) \\dot{\\theta_1}\\dot{\\theta_2})]$.  \n",
    "Taking a look at the equation, there's a little of work we can do to simplify:  \n",
    "$\\frac{1}{2} m_2 [l_1^{2} \\dot{\\theta_1}^{2} (\\cos^{2} \\theta_1 + \\sin^{2} \\theta_1) + l_2^{2} \\dot{\\theta_2}^{2} (\\cos^{2} \\theta_2 + \\sin^{2} \\theta_2) + 2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2}((\\cos \\theta_1)(\\cos \\theta_2) + (\\sin \\theta_1)(\\sin \\theta_2))]$.  \n",
    "Now, let's reap a benefit of paying attention in algebra class. Using two trignometric identites,  $(\\cos^{2} \\alpha + \\sin^{2} \\alpha) = 1$, and $\\cos\\alpha\\cos\\beta + \\sin\\alpha\\sin\\beta = cos(\\alpha - \\beta)$ we can make this a lot prettier.  \n",
    "$\\frac{1}{2} m_2 [l_2^{2} \\dot{\\theta_1}^{2} (1) + l_2^{2} \\dot{\\theta_2}^{2} (1) + 2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2}(\\cos(\\theta_1 - \\theta_2))]$. \n",
    "So \n",
    "$T_2 = \\frac{1}{2} m_2 [l_2^{2} \\dot{\\theta_1}^{2} + l_2^{2} \\dot{\\theta_2}^{2} + 2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2}(\\cos(\\theta_1 - \\theta_2))]$.  \n",
    "  \n",
    "Therefore, for $T$, we have\n",
    "$T_1 + T_2 = \\frac{1}{2}m_1 l_1^{2}\\dot{\\theta_1^{2}} + \\frac{1}{2} m_2 [l_2^{2} \\dot{\\theta_1}^{2} + l_2^{2} \\dot{\\theta_2}^{2} + 2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2}(\\cos(\\theta_1 - \\theta_2))]$.  \n",
    "  \n",
    "## Potential Energy  \n",
    "We derive the potential energy, $V$, with 3 things in mind:  \n",
    "1. A visual image of the system itself  \n",
    "2. The coordinate system  \n",
    "3. The fact that Gravitational Potential Energy can be calculated through the formula $V = mgy$.  \n",
    "  \n",
    "Again, we can consider $V = V_1 + V_2$.  \n",
    "  \n",
    "For $V_1$, we note that the mass in question is $m_1$. It is acted on by the gravitational constant, $g$, and the $y$ direction in polar coordinates is $-l_1 \\cos \\theta_1$.   \n",
    "For $V_2$, the force is $m_2g$, and acting along the $y$ direction, which is $-(l_1\\cos\\theta_1 + l_2 \\cos \\theta_2)$.  \n",
    "  \n",
    "$V = -l_1 \\cos \\theta_1 -(l_1\\cos\\theta_1 + l_2 \\cos \\theta_2)$, or\n",
    "$-(m_1 + m_2)gl_1 \\cos \\theta_1 - m_2 g l_2 \\cos \\theta_2$.  \n",
    "\n",
    "## The Lagrangian  \n",
    "Keep in mind, $L = T - V$.  \n",
    "Substituting, we write the Lagrangian as  \n",
    "$L = [\\frac{1}{2}m_1 l_1^{2}\\dot{\\theta_1^{2}} + \\frac{1}{2} m_2 [l_2^{2} \\dot{\\theta_1}^{2} + l_2^{2} \\dot{\\theta_2}^{2} + 2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2}(\\cos(\\theta_1 - \\theta_2))] - [-(m_1 + m_2)gl_1 \\cos \\theta_1 - m_2 g l_2 \\cos \\theta_2]]$.  \n",
    "  \n",
    "Note that while we do formally write out the Lagrangian, it is very helpful to keep $T$ and $V$ in mind.\n",
    "\n",
    "## Applying the Euler-Lagrange Equation  \n",
    "We apply the Euler-Lagrange Equation, $\\frac{d}{dt} (\\frac{\\partial L}{\\partial \\dot q_1}) - \\frac{\\partial L}{\\partial q_1} = 0$, for $q_1 = \\theta_1, \\theta_2$.\n",
    "\n",
    "\n",
    "### For $\\theta_1$  \n",
    "$\\frac{d}{dt} (\\frac{\\partial L}{\\partial \\dot \\theta_1}) - \\frac{\\partial L}{\\partial \\theta_1} = 0$.  \n",
    "Notice that $\\frac{\\partial L}{\\partial \\dot{\\theta_1}} = \\frac{\\partial T}{\\partial \\dot{\\theta_1}}$, because $V$ does not change with respect to $\\dot{\\theta_1}$.  \n",
    "First, we take the partial derivative of the expression with respect to $\\dot{\\theta_1}$:  \n",
    "\n",
    "$\\frac{\\partial L}{\\partial \\dot{\\theta_1}} = \\frac{\\partial T}{\\partial \\dot{\\theta_1}}$\n",
    "\n",
    "$= \\frac{\\partial}{\\partial \\dot{\\theta_1}}[\\frac{1}{2}m_1 l_1^{2} \\dot{\\theta_1}^{2} + \\frac{1}{2}m_2[l_1^{2} \\dot{\\theta_1}^{2} + l_1^{2} \\dot{\\theta_2}^{2} + 2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2} (\\cos(\\theta_1 - \\theta_2))]]$  \n",
    "  \n",
    "Taking the derivative with respect to $\\dot{\\theta_1}$:  \n",
    "  \n",
    "$ = m_1 l_1^{2} \\dot{\\theta_1} + \\frac{1}{2}m_2[2l_1^{2} \\dot{\\theta_1} + 0 + 2 l_1 l_2 \\dot{\\theta_2} (\\cos(\\theta_1 - \\theta_2))]$  \n",
    "  \n",
    "Now, a similar process for $t$: \n",
    "$\\frac{d}{dt}(m_1 l_1^{2} \\dot{\\theta_1} + \\frac{1}{2}m_2[2l_1^{2} \\dot{\\theta_1} + 0 + 2 l_1 l_2 \\dot{\\theta_2} (\\cos(\\theta_1 - \\theta_2))]) =$\n",
    "  \n",
    "$m_1 l_1^{2} \\ddot{\\theta_1} + \\frac{1}{2}m_2[2l_1^{2} \\ddot{\\theta_1}+ 2 l_1 l_2(-\\dot{\\theta_2} \\sin(\\theta_1 - \\theta_2)(\\dot{\\theta_1} - \\dot{\\theta_2}) + \\cos(\\theta_1 - \\theta_2)\\ddot{\\theta_2}] = $  \n",
    "  \n",
    "$m_1 l_1^{2} \\ddot{\\theta_1} + m_2l_1^{2} \\ddot{\\theta_1}- m_2 l_1 l_2 \\dot{\\theta_2} \\sin(\\theta_1 - \\theta_2)(\\dot{\\theta_1} - \\dot{\\theta_2}) + m_2 l_1 l_2 \\cos(\\theta_1 - \\theta_2)\\ddot{\\theta_2}$  \n",
    "\n",
    "Ensure to use the chain rule for the above!  \n",
    "\n",
    "Now, let us calculate $-\\frac{\\partial L}{\\partial \\theta_1}$:  \n",
    "\n",
    "$-\\frac{\\partial}{\\partial \\theta_1} [\\frac{1}{2}m_1 l_1^{2}\\dot{\\theta_1^{2}} + \\frac{1}{2} m_2 [l_2^{2} \\dot{\\theta_1}^{2} + l_2^{2} \\dot{\\theta_2}^{2} + 2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2}(\\cos(\\theta_1 - \\theta_2))] - [-(m_1 + m_2)gl_1 \\cos \\theta_1 - m_2 g l_2 \\cos \\theta_2]]$  \n",
    "\n",
    "$= -\\frac{\\partial}{\\partial \\theta_1}[m_2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2}(\\cos(\\theta_1 - \\theta_2))+ (m_1 + m_2)gl_1 \\cos \\theta_1 + m_2 g l_2 \\cos \\theta_2]$  \n",
    "\n",
    "$= -[-m_2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2}(\\sin(\\theta_1 - \\theta_2))- (m_1 + m_2)gl_1 \\sin \\theta_1]$  \n",
    "\n",
    "$= m_2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2} \\sin(\\theta_1 - \\theta_2) + (m_1 + m_2)gl_1 \\sin \\theta_1$  \n",
    "\n",
    "Now we are free to add our two results and set the sum equivalent to 0 (Euler-Lagrange):\n",
    "\n",
    "$m_1 l_1^{2} \\ddot{\\theta_1} + m_2l_1^{2} \\ddot{\\theta_1}- m_2 l_1 l_2 \\dot{\\theta_2} \\sin(\\theta_1 - \\theta_2)(\\dot{\\theta_1} - \\dot{\\theta_2}) + m_2 l_1 l_2 \\cos(\\theta_1 - \\theta_2)\\ddot{\\theta_2} + m_2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2} \\sin(\\theta_1 - \\theta_2) + (m_1 + m_2)gl_1 \\sin \\theta_1 = 0$  \n",
    "  \n",
    "$= m_1 l_1 \\ddot{\\theta_1} + m_2 l_1 \\ddot{\\theta_1}- m_2 l_2 \\dot{\\theta_2} \\sin(\\theta_1 - \\theta_2)(\\dot{\\theta_1} - \\dot{\\theta_2}) + m_2 l_2 \\cos(\\theta_1 - \\theta_2)\\ddot{\\theta_2} + m_2 l_2 \\dot{\\theta_1} \\dot{\\theta_2} \\sin(\\theta_1 - \\theta_2) + (m_1 + m_2)g \\sin \\theta_1$\n",
    "  \n",
    "$= (m_1 + m_2)l_1 \\ddot{\\theta_1} + (m_1 + m_2)g\\sin \\theta_1+ m_2 l_2 \\ddot{\\theta_2}\\cos(\\theta_1 - \\theta_2)+ m_2l_2 \\dot{\\theta_2}^{2}\\sin(\\theta_1 - \\theta_2) = 0$\n",
    "\n",
    "\n",
    "\n",
    "### For $\\theta_2$  \n",
    "\n",
    "For this we once again apply the Euler-Lagrange equation, modifying our approach slightly to account for $\\theta_2$.  \n",
    "\n",
    "$\\frac{d}{dt} \\frac{\\partial L}{\\partial \\dot{\\theta_2}} - \\frac{\\partial L}{\\partial \\theta_2} = 0$\n",
    "  \n",
    "$\\frac{\\partial L}{\\partial \\dot{\\theta_2}} = \\frac{\\partial}{\\partial \\dot{\\theta_2}} [\\frac{1}{2} m_1 l_1 \\dot{\\theta_1}^{2} + \\frac{1}{2}m_2[l_1^{2} \\dot{\\theta_1}^{2} + l_2^{2} \\dot{\\theta_2}^{2}+ 2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2} \\cos(\\theta_1 - \\theta_2)]]$\n",
    "  \n",
    "$= 0 + \\frac{1}{2} m_2[0 + 2 l_2^{2} \\dot{\\theta_2} + 2 l_1 l_2 \\dot{\\theta_1} \\cos(\\theta_1 - \\theta_2)]$\n",
    "\n",
    "Now,  \n",
    "$\\frac{d}{dt}[\\frac{1}{2} m_2[2 l_2^{2} \\dot{\\theta_2} + 2l_1 l_2 \\dot{\\theta_1} \\cos(\\theta_1 - \\theta_2)]]$\n",
    "\n",
    "$= \\frac{1}{2} m_2 [2 l_2^{2} \\ddot{\\theta_2} + 2 l_1 l_2 (-\\dot{\\theta_1} \\sin(\\theta_1 - \\theta_2)(\\dot{\\theta_1} - \\dot{\\theta_2})+ \\cos(\\theta_1 - \\theta_2)(\\ddot{\\theta_1})]$\n",
    "\n",
    "$= m_2 l_2^{2} \\ddot{\\theta_2}- m_2 l_1 l_2 \\dot{\\theta_1} \\sin(\\theta_1 - \\theta_2)(\\dot{\\theta_1} - \\dot{\\theta_2})+ m_2 l_1 l_2 \\ddot{\\theta_1} \\cos(\\theta_1 - \\theta_2)$\n",
    "  \n",
    "The other part:\n",
    "\n",
    "$\\frac{\\partial L}{\\partial \\theta_2} = \\frac{\\partial}{\\partial \\theta_2}[m_2 l_1 l_2 \\dot{\\theta_1} \\dot{\\theta_2} \\cos(\\theta_1 - \\theta_2) +(m_1 + m_2) g l_1 \\cos(\\theta_1) + m_2 g l_2 \\cos(\\theta_2)$\n",
    "\n",
    "$= m_2 l_1 l_2 \\dot{\\theta_1}\\dot{\\theta_2} \\sin(\\theta_1 - \\theta_2) - 0 - m_2 g l_2 \\sin \\theta_2$\n",
    "\n",
    "Finally,  \n",
    "\n",
    "$m_2 l_2^{2} \\ddot{\\theta_2} - m_2 l_1 l_2 \\dot{\\theta_1} \\sin(\\theta_1 - \\theta_2)(\\dot{\\theta_1} - \\dot{\\theta_2}) + m_2 l_1 l_2 \\ddot{\\theta_1} \\cos(\\theta_1 - \\theta_2) - m_2 l_1 l_2 \\dot{\\theta_1}\\dot{\\theta_2} \\sin(\\theta_1 - \\theta_2) + m_2 g l_2 \\sin \\theta_2 = 0$\n",
    "\n",
    "Canceling out common terms:  \n",
    "$ l_2 \\ddot{\\theta_2} - l_1 \\dot{\\theta_1} \\sin(\\theta_1 - \\theta_2)(\\dot{\\theta_1} - \\dot{\\theta_2}) + l_1 \\ddot{\\theta_1} \\cos(\\theta_1 - \\theta_2) - l_1 \\dot{\\theta_1}\\dot{\\theta_2} \\sin(\\theta_1 - \\theta_2) + g \\sin \\theta_2 = 0$\n",
    "\n",
    "We end up with:  \n",
    "\n",
    "$l_2 \\ddot{\\theta_2} + g \\sin(\\theta_2) + l_1 \\ddot{\\theta_1} \\cos(\\theta_1 - \\theta_2) - l_1 \\dot{\\theta_1}^{2} \\sin(\\theta_1 - \\theta_2) = 0$\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ],
   "metadata": {
    "collapsed": true
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "import numpy as np \r\n",
    "import matplotlib.pyplot as plt \r\n",
    "\r\n",
    "\r\n",
    "#CONSTANTS\r\n",
    "g = 9.8 #m/s^2\r\n",
    "\r\n",
    "m1 = 10 #kg\r\n",
    "m2 = 10 #kg\r\n",
    "\r\n",
    "l1 = 2 #m\r\n",
    "l2 = 1 #m\r\n",
    "\r\n",
    "#INITIAL CONDITIONS\r\n",
    "THETA_1_0 = np.pi / 4\r\n",
    "THETA_2_0 = np.pi / 4\r\n",
    "\r\n",
    "THETA_DOT_1_0 = 0\r\n",
    "THETA_DOT_2_0 = 0\r\n",
    "\r\n",
    "THETA_DOUBLE_DOT_1_0 = 0\r\n",
    "THETA_DOUBLE_DOT_2_0 = 0\r\n",
    "\r\n",
    "\r\n",
    "\r\n",
    "#POLAR TO RECTANGULAR\r\n",
    "def get_x1(theta_1):\r\n",
    "    return l1 * np.sin(theta_1)\r\n",
    "\r\n",
    "def get_y1(theta_1):\r\n",
    "    return -l1 * np.cos(theta_1)\r\n",
    "\r\n",
    "def get_x2(theta_1, theta_2):\r\n",
    "    return get_x1(theta_1) + l2 * np.sin(theta_2)\r\n",
    "\r\n",
    "def get_y2(theta_1, theta_2):\r\n",
    "    return get_y1(theta_1) - l2 * np.cos(theta_2)\r\n",
    "\r\n",
    "#RANGE REDUCTION\r\n",
    "RANGE = 2 * np.pi\r\n",
    "def toRange(angle):\r\n",
    "    angle = angle % RANGE\r\n",
    "    if angle > np.pi:\r\n",
    "        angle -= RANGE\r\n",
    "    return angle\r\n",
    "    \r\n",
    "\r\n",
    "\r\n",
    "#ODEs\r\n",
    "def get_theta_double_dot_1(theta_1, theta_2, theta_double_dot_2, theta_dot_2):\r\n",
    "    eq = -((m1 + m2)*g*np.sin(theta_1) + m2*l2*theta_double_dot_2*np.cos(theta_1-theta_2) + m2*l2*(theta_dot_2**2)*np.sin(theta_1 - theta_2)) /  (m1 + m2)\r\n",
    "    return eq\r\n",
    "\r\n",
    "def get_theta_double_dot_2(theta_2, theta_1, theta_dot_1, theta_double_dot_1):\r\n",
    "    eq = (-(g*np.sin(theta_2) + (l1*theta_double_dot_1*np.cos(theta_1-theta_2))) + (l1 * theta_dot_1*np.sin(theta_1-theta_2)))/l1\r\n",
    "    return eq\r\n",
    "    \r\n",
    "    \r\n",
    "#ANGLES\r\n",
    "def theta(t_0, t_f):\r\n",
    "    theta_1 = THETA_1_0\r\n",
    "    theta_2 = THETA_2_0\r\n",
    "\r\n",
    "    theta_dot_1 = THETA_DOT_1_0\r\n",
    "    theta_dot_2 = THETA_DOT_2_0\r\n",
    "\r\n",
    "    theta_double_dot_1 = THETA_DOUBLE_DOT_1_0\r\n",
    "    theta_double_dot_2 = THETA_DOUBLE_DOT_2_0\r\n",
    "\r\n",
    "   \r\n",
    "\r\n",
    "    dt = 0.001\r\n",
    "    timeData = np.arange(t_0, t_f, dt)\r\n",
    "\r\n",
    "    theta_1_vals = []\r\n",
    "    theta_2_vals = []\r\n",
    "\r\n",
    "    theta_dot_1_vals = []\r\n",
    "    theta_dot_2_vals = []\r\n",
    "\r\n",
    "    theta_double_dot_1_vals = []\r\n",
    "    theta_double_dot_2_vals = []\r\n",
    "\r\n",
    "    x1_vals = []\r\n",
    "    y1_vals = []\r\n",
    "\r\n",
    "    x2_vals = []\r\n",
    "    y2_vals = []\r\n",
    "\r\n",
    "    for time in timeData:\r\n",
    "        theta_double_dot_1 = get_theta_double_dot_1(theta_1, theta_2,theta_double_dot_2, theta_dot_2)\r\n",
    "\r\n",
    "        theta_double_dot_1_vals.append(theta_double_dot_1) \r\n",
    "        \r\n",
    "\r\n",
    "        theta_double_dot_2 = get_theta_double_dot_2(theta_2, theta_1, theta_dot_1, theta_double_dot_1)\r\n",
    "    \r\n",
    "        theta_double_dot_2_vals.append(theta_double_dot_2) \r\n",
    "\r\n",
    "\r\n",
    "        theta_dot_1 += theta_double_dot_1 * dt\r\n",
    "        theta_dot_1_vals.append(theta_dot_1)\r\n",
    "\r\n",
    "        theta_dot_2 += theta_double_dot_2 * dt \r\n",
    "        theta_dot_2_vals.append(theta_dot_2)\r\n",
    "\r\n",
    "        theta_1 += (theta_dot_1 * dt % (2 * np.pi))\r\n",
    "        #theta_1 = toRange(theta_1)\r\n",
    "        theta_1_vals.append(theta_1)\r\n",
    "        \r\n",
    "        \r\n",
    "        theta_2 += (theta_dot_2 * dt) \r\n",
    "        #theta_2 = toRange(theta_2)\r\n",
    "        theta_2_vals.append(theta_2)\r\n",
    "\r\n",
    "        x1_vals.append(get_x1(theta_1))\r\n",
    "        y1_vals.append(get_y1(theta_1))\r\n",
    "\r\n",
    "        x2_vals.append(get_x2(theta_1, theta_2))\r\n",
    "        y2_vals.append(get_y2(theta_1, theta_2))\r\n",
    "    \r\n",
    "    for i in range(0, len(theta_1_vals)):\r\n",
    "        theta_1_vals[i]= toRange(theta_1_vals[i])\r\n",
    "        theta_2_vals[i]= toRange(theta_2_vals[i])\r\n",
    "        \r\n",
    "\r\n",
    "\r\n",
    "    \r\n",
    "    #print(theta_double_dot_1_vals)\r\n",
    "    #print(theta_dot_1_vals)\r\n",
    "    #print(theta_1_vals)\r\n",
    "    \r\n",
    "\r\n",
    "    plt.figure(1)\r\n",
    "\r\n",
    "    plt.plot(timeData, theta_1_vals, label=\"theta_1 vs. time\")\r\n",
    "    plt.figure(2)\r\n",
    "    plt.plot(timeData, theta_2_vals, label=\"theta_2 vs. time\")\r\n",
    "    plt.figure(3)\r\n",
    "    plt.plot(theta_1_vals, theta_dot_1_vals, label=\"theta_2 vs theta_1\")\r\n",
    "    plt.figure(4)\r\n",
    "    plt.plot(x2_vals, y2_vals)\r\n",
    "    \r\n",
    "\r\n",
    "    #return theta_1, theta_2\r\n",
    "\r\n",
    "\r\n",
    "    \r\n",
    "\r\n",
    "\r\n",
    "\r\n",
    "theta(0, 22)\r\n",
    "\r\n",
    "    \r\n",
    "\r\n",
    "\r\n",
    "\r\n",
    "\r\n",
    "\r\n",
    "\r\n"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\r\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\r\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\r\n<!-- Created with matplotlib (https://matplotlib.org/) -->\r\n<svg height=\"248.518125pt\" version=\"1.1\" viewBox=\"0 0 386.845312 248.518125\" width=\"386.845312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\r\n <metadata>\r\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\r\n   <cc:Work>\r\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\r\n    <dc:date>2021-07-23T15:34:25.577537</dc:date>\r\n    <dc:format>image/svg+xml</dc:format>\r\n    <dc:creator>\r\n     <cc:Agent>\r\n      <dc:title>Matplotlib v3.3.2, https://matplotlib.org/</dc:title>\r\n     </cc:Agent>\r\n    </dc:creator>\r\n   </cc:Work>\r\n  </rdf:RDF>\r\n </metadata>\r\n <defs>\r\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\r\n </defs>\r\n <g id=\"figure_1\">\r\n  <g id=\"patch_1\">\r\n   <path d=\"M 0 248.518125 \r\nL 386.845312 248.518125 \r\nL 386.845312 0 \r\nL 0 0 \r\nz\r\n\" style=\"fill:none;\"/>\r\n  </g>\r\n  <g id=\"axes_1\">\r\n   <g id=\"patch_2\">\r\n    <path d=\"M 44.845313 224.64 \r\nL 379.645313 224.64 \r\nL 379.645313 7.2 \r\nL 44.845313 7.2 \r\nz\r\n\" style=\"fill:#ffffff;\"/>\r\n   </g>\r\n   <g id=\"matplotlib.axis_1\">\r\n    <g id=\"xtick_1\">\r\n     <g id=\"line2d_1\">\r\n      <defs>\r\n       <path d=\"M 0 0 \r\nL 0 3.5 \r\n\" id=\"ma91dcde6d5\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n      </defs>\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"60.063494\" xlink:href=\"#ma91dcde6d5\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_1\">\r\n      <!-- 0 -->\r\n      <g transform=\"translate(56.882244 239.238438)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 31.78125 66.40625 \r\nQ 24.171875 66.40625 20.328125 58.90625 \r\nQ 16.5 51.421875 16.5 36.375 \r\nQ 16.5 21.390625 20.328125 13.890625 \r\nQ 24.171875 6.390625 31.78125 6.390625 \r\nQ 39.453125 6.390625 43.28125 13.890625 \r\nQ 47.125 21.390625 47.125 36.375 \r\nQ 47.125 51.421875 43.28125 58.90625 \r\nQ 39.453125 66.40625 31.78125 66.40625 \r\nz\r\nM 31.78125 74.21875 \r\nQ 44.046875 74.21875 50.515625 64.515625 \r\nQ 56.984375 54.828125 56.984375 36.375 \r\nQ 56.984375 17.96875 50.515625 8.265625 \r\nQ 44.046875 -1.421875 31.78125 -1.421875 \r\nQ 19.53125 -1.421875 13.0625 8.265625 \r\nQ 6.59375 17.96875 6.59375 36.375 \r\nQ 6.59375 54.828125 13.0625 64.515625 \r\nQ 19.53125 74.21875 31.78125 74.21875 \r\nz\r\n\" id=\"DejaVuSans-48\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_2\">\r\n     <g id=\"line2d_2\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"129.240192\" xlink:href=\"#ma91dcde6d5\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_2\">\r\n      <!-- 5 -->\r\n      <g transform=\"translate(126.058942 239.238438)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 10.796875 72.90625 \r\nL 49.515625 72.90625 \r\nL 49.515625 64.59375 \r\nL 19.828125 64.59375 \r\nL 19.828125 46.734375 \r\nQ 21.96875 47.46875 24.109375 47.828125 \r\nQ 26.265625 48.1875 28.421875 48.1875 \r\nQ 40.625 48.1875 47.75 41.5 \r\nQ 54.890625 34.8125 54.890625 23.390625 \r\nQ 54.890625 11.625 47.5625 5.09375 \r\nQ 40.234375 -1.421875 26.90625 -1.421875 \r\nQ 22.3125 -1.421875 17.546875 -0.640625 \r\nQ 12.796875 0.140625 7.71875 1.703125 \r\nL 7.71875 11.625 \r\nQ 12.109375 9.234375 16.796875 8.0625 \r\nQ 21.484375 6.890625 26.703125 6.890625 \r\nQ 35.15625 6.890625 40.078125 11.328125 \r\nQ 45.015625 15.765625 45.015625 23.390625 \r\nQ 45.015625 31 40.078125 35.4375 \r\nQ 35.15625 39.890625 26.703125 39.890625 \r\nQ 22.75 39.890625 18.8125 39.015625 \r\nQ 14.890625 38.140625 10.796875 36.28125 \r\nz\r\n\" id=\"DejaVuSans-53\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_3\">\r\n     <g id=\"line2d_3\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"198.416891\" xlink:href=\"#ma91dcde6d5\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_3\">\r\n      <!-- 10 -->\r\n      <g transform=\"translate(192.054391 239.238438)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 12.40625 8.296875 \r\nL 28.515625 8.296875 \r\nL 28.515625 63.921875 \r\nL 10.984375 60.40625 \r\nL 10.984375 69.390625 \r\nL 28.421875 72.90625 \r\nL 38.28125 72.90625 \r\nL 38.28125 8.296875 \r\nL 54.390625 8.296875 \r\nL 54.390625 0 \r\nL 12.40625 0 \r\nz\r\n\" id=\"DejaVuSans-49\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-49\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_4\">\r\n     <g id=\"line2d_4\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"267.593589\" xlink:href=\"#ma91dcde6d5\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_4\">\r\n      <!-- 15 -->\r\n      <g transform=\"translate(261.231089 239.238438)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-49\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_5\">\r\n     <g id=\"line2d_5\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"336.770287\" xlink:href=\"#ma91dcde6d5\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_5\">\r\n      <!-- 20 -->\r\n      <g transform=\"translate(330.407787 239.238438)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 19.1875 8.296875 \r\nL 53.609375 8.296875 \r\nL 53.609375 0 \r\nL 7.328125 0 \r\nL 7.328125 8.296875 \r\nQ 12.9375 14.109375 22.625 23.890625 \r\nQ 32.328125 33.6875 34.8125 36.53125 \r\nQ 39.546875 41.84375 41.421875 45.53125 \r\nQ 43.3125 49.21875 43.3125 52.78125 \r\nQ 43.3125 58.59375 39.234375 62.25 \r\nQ 35.15625 65.921875 28.609375 65.921875 \r\nQ 23.96875 65.921875 18.8125 64.3125 \r\nQ 13.671875 62.703125 7.8125 59.421875 \r\nL 7.8125 69.390625 \r\nQ 13.765625 71.78125 18.9375 73 \r\nQ 24.125 74.21875 28.421875 74.21875 \r\nQ 39.75 74.21875 46.484375 68.546875 \r\nQ 53.21875 62.890625 53.21875 53.421875 \r\nQ 53.21875 48.921875 51.53125 44.890625 \r\nQ 49.859375 40.875 45.40625 35.40625 \r\nQ 44.1875 33.984375 37.640625 27.21875 \r\nQ 31.109375 20.453125 19.1875 8.296875 \r\nz\r\n\" id=\"DejaVuSans-50\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-50\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n   </g>\r\n   <g id=\"matplotlib.axis_2\">\r\n    <g id=\"ytick_1\">\r\n     <g id=\"line2d_6\">\r\n      <defs>\r\n       <path d=\"M 0 0 \r\nL -3.5 0 \r\n\" id=\"m7d6c92731a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n      </defs>\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7d6c92731a\" y=\"218.173069\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_6\">\r\n      <!-- −1.00 -->\r\n      <g transform=\"translate(7.2 221.972288)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 10.59375 35.5 \r\nL 73.1875 35.5 \r\nL 73.1875 27.203125 \r\nL 10.59375 27.203125 \r\nz\r\n\" id=\"DejaVuSans-8722\"/>\r\n        <path d=\"M 10.6875 12.40625 \r\nL 21 12.40625 \r\nL 21 0 \r\nL 10.6875 0 \r\nz\r\n\" id=\"DejaVuSans-46\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-49\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_2\">\r\n     <g id=\"line2d_7\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7d6c92731a\" y=\"192.383673\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_7\">\r\n      <!-- −0.75 -->\r\n      <g transform=\"translate(7.2 196.182892)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 8.203125 72.90625 \r\nL 55.078125 72.90625 \r\nL 55.078125 68.703125 \r\nL 28.609375 0 \r\nL 18.3125 0 \r\nL 43.21875 64.59375 \r\nL 8.203125 64.59375 \r\nz\r\n\" id=\"DejaVuSans-55\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-55\"/>\r\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_3\">\r\n     <g id=\"line2d_8\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7d6c92731a\" y=\"166.594278\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_8\">\r\n      <!-- −0.50 -->\r\n      <g transform=\"translate(7.2 170.393497)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-53\"/>\r\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_4\">\r\n     <g id=\"line2d_9\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7d6c92731a\" y=\"140.804882\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_9\">\r\n      <!-- −0.25 -->\r\n      <g transform=\"translate(7.2 144.604101)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-50\"/>\r\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_5\">\r\n     <g id=\"line2d_10\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7d6c92731a\" y=\"115.015487\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_10\">\r\n      <!-- 0.00 -->\r\n      <g transform=\"translate(15.579688 118.814706)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_6\">\r\n     <g id=\"line2d_11\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7d6c92731a\" y=\"89.226091\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_11\">\r\n      <!-- 0.25 -->\r\n      <g transform=\"translate(15.579688 93.02531)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\r\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_7\">\r\n     <g id=\"line2d_12\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7d6c92731a\" y=\"63.436696\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_12\">\r\n      <!-- 0.50 -->\r\n      <g transform=\"translate(15.579688 67.235915)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-53\"/>\r\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_8\">\r\n     <g id=\"line2d_13\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7d6c92731a\" y=\"37.6473\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_13\">\r\n      <!-- 0.75 -->\r\n      <g transform=\"translate(15.579688 41.446519)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-55\"/>\r\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_9\">\r\n     <g id=\"line2d_14\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7d6c92731a\" y=\"11.857905\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_14\">\r\n      <!-- 1.00 -->\r\n      <g transform=\"translate(15.579688 15.657124)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-49\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n   </g>\r\n   <g id=\"line2d_15\">\r\n    <path clip-path=\"url(#p71a87913fa)\" d=\"M 60.063494 33.996426 \r\nL 60.271024 34.130782 \r\nL 60.520061 34.609297 \r\nL 60.852109 35.782259 \r\nL 61.281004 38.185112 \r\nL 61.820582 42.571557 \r\nL 62.498514 50.054612 \r\nL 63.37014 62.350796 \r\nL 64.629156 83.613641 \r\nL 68.973453 159.405138 \r\nL 70.149457 175.096167 \r\nL 71.09026 184.912757 \r\nL 71.865039 190.879604 \r\nL 72.501465 194.230912 \r\nL 73.013372 195.87045 \r\nL 73.400762 196.475208 \r\nL 73.677469 196.570839 \r\nL 73.926505 196.418195 \r\nL 74.230882 195.927012 \r\nL 74.618272 194.824236 \r\nL 75.102508 192.712723 \r\nL 75.697428 189.051767 \r\nL 76.430701 183.033749 \r\nL 77.316163 173.78303 \r\nL 78.381484 160.183751 \r\nL 79.6405 141.145965 \r\nL 81.010199 116.972898 \r\nL 82.379897 88.76562 \r\nL 84.648893 41.012179 \r\nL 85.354495 31.496931 \r\nL 85.96325 26.017816 \r\nL 86.461322 23.283044 \r\nL 86.862547 22.151933 \r\nL 87.139254 21.903988 \r\nL 87.346784 21.994296 \r\nL 87.59582 22.407883 \r\nL 87.927868 23.465088 \r\nL 88.356764 25.662116 \r\nL 88.896342 29.712276 \r\nL 89.546603 36.419182 \r\nL 90.321382 46.878723 \r\nL 91.234514 62.388599 \r\nL 92.355177 85.458943 \r\nL 94.430478 134.074485 \r\nL 95.897024 165.42482 \r\nL 96.97618 184.01201 \r\nL 97.875478 195.946004 \r\nL 98.622586 203.17261 \r\nL 99.231341 207.150546 \r\nL 99.715578 209.03568 \r\nL 100.075297 209.67635 \r\nL 100.310497 209.735253 \r\nL 100.518027 209.545504 \r\nL 100.794734 208.932242 \r\nL 101.154453 207.502004 \r\nL 101.597184 204.719337 \r\nL 102.122927 199.865873 \r\nL 102.731682 191.991215 \r\nL 103.423449 179.927397 \r\nL 104.322746 159.870203 \r\nL 106.5364 109.161708 \r\nL 107.878428 84.263187 \r\nL 109.17895 64.091804 \r\nL 110.313448 49.756705 \r\nL 111.254251 40.506902 \r\nL 112.015195 35.026265 \r\nL 112.637785 32.006005 \r\nL 113.122022 30.622524 \r\nL 113.481741 30.159801 \r\nL 113.744612 30.131234 \r\nL 113.993648 30.347146 \r\nL 114.311861 30.968015 \r\nL 114.713086 32.30131 \r\nL 115.211158 34.801205 \r\nL 115.819913 39.093814 \r\nL 116.553186 45.977764 \r\nL 117.438648 56.555266 \r\nL 118.53164 72.485368 \r\nL 119.998186 97.430624 \r\nL 124.370153 173.993222 \r\nL 125.338627 186.183068 \r\nL 126.085735 193.041008 \r\nL 126.680655 196.647284 \r\nL 127.137221 198.216441 \r\nL 127.455434 198.676965 \r\nL 127.676799 198.688476 \r\nL 127.898164 198.447252 \r\nL 128.188707 197.750695 \r\nL 128.576096 196.164953 \r\nL 129.074168 193.070258 \r\nL 129.696759 187.669738 \r\nL 130.499208 178.577065 \r\nL 131.578365 163.556893 \r\nL 133.321618 135.703504 \r\nL 135.825814 96.188252 \r\nL 136.932641 82.132424 \r\nL 137.748926 74.332448 \r\nL 138.371517 70.294947 \r\nL 138.828083 68.577683 \r\nL 139.146296 68.0766 \r\nL 139.353826 68.081108 \r\nL 139.561356 68.360966 \r\nL 139.838063 69.182112 \r\nL 140.197781 71.052132 \r\nL 140.640512 74.647882 \r\nL 141.207761 81.275699 \r\nL 142.300753 97.512682 \r\nL 143.172379 108.64506 \r\nL 143.864146 114.844142 \r\nL 144.472901 118.450795 \r\nL 144.984809 120.298665 \r\nL 145.413704 121.111251 \r\nL 145.745753 121.328893 \r\nL 146.022459 121.262051 \r\nL 146.340672 120.931972 \r\nL 146.755732 120.138843 \r\nL 147.309146 118.541473 \r\nL 148.07009 115.581931 \r\nL 149.356776 109.510477 \r\nL 150.94784 102.277325 \r\nL 151.805631 99.36141 \r\nL 152.455892 97.862971 \r\nL 152.9678 97.183198 \r\nL 153.369025 96.979319 \r\nL 153.714908 97.042363 \r\nL 154.074627 97.344584 \r\nL 154.503523 98.018347 \r\nL 155.029265 99.297363 \r\nL 155.665691 101.474991 \r\nL 156.454305 105.022926 \r\nL 157.491956 110.817903 \r\nL 159.345891 122.736096 \r\nL 160.936956 132.33508 \r\nL 161.905429 136.925761 \r\nL 162.638702 139.441392 \r\nL 163.205951 140.695455 \r\nL 163.648682 141.198094 \r\nL 163.98073 141.275491 \r\nL 164.285108 141.104613 \r\nL 164.617156 140.637454 \r\nL 165.018381 139.654676 \r\nL 165.488782 137.869837 \r\nL 166.02836 134.89117 \r\nL 166.62328 130.297223 \r\nL 167.273541 123.441382 \r\nL 167.965308 113.658136 \r\nL 168.767758 98.854876 \r\nL 170.220468 71.505223 \r\nL 170.843059 64.210054 \r\nL 171.368802 60.363544 \r\nL 171.797697 58.616669 \r\nL 172.129745 58.040467 \r\nL 172.351111 58.006392 \r\nL 172.572476 58.237657 \r\nL 172.863018 58.924692 \r\nL 173.250408 60.479818 \r\nL 173.762315 63.573811 \r\nL 174.398741 68.914201 \r\nL 175.201191 77.703827 \r\nL 176.21117 91.404145 \r\nL 177.650046 114.28803 \r\nL 180.887515 166.611536 \r\nL 182.022013 180.990736 \r\nL 182.935146 189.931777 \r\nL 183.682254 195.239576 \r\nL 184.291009 198.13476 \r\nL 184.775246 199.491695 \r\nL 185.134965 199.950416 \r\nL 185.397836 199.988767 \r\nL 185.646872 199.794285 \r\nL 185.965085 199.220539 \r\nL 186.36631 197.981747 \r\nL 186.864382 195.65743 \r\nL 187.473137 191.666932 \r\nL 188.20641 185.260041 \r\nL 189.078036 175.548379 \r\nL 190.143357 161.02021 \r\nL 191.623739 137.443297 \r\nL 194.141771 97.241044 \r\nL 195.068738 86.015713 \r\nL 195.760505 80.075755 \r\nL 196.272413 77.367277 \r\nL 196.632132 76.455895 \r\nL 196.853497 76.341884 \r\nL 197.033357 76.516115 \r\nL 197.268557 77.123712 \r\nL 197.58677 78.669748 \r\nL 197.987995 81.88179 \r\nL 198.486067 87.903374 \r\nL 199.19167 99.621529 \r\nL 200.243155 116.637363 \r\nL 200.838075 122.865045 \r\nL 201.336147 126.034232 \r\nL 201.737372 127.362631 \r\nL 202.027914 127.704655 \r\nL 202.235444 127.653376 \r\nL 202.470645 127.315815 \r\nL 202.788858 126.417649 \r\nL 203.217753 124.474941 \r\nL 203.785002 120.778832 \r\nL 204.545946 114.19524 \r\nL 205.638938 102.564665 \r\nL 208.39217 72.525868 \r\nL 209.263797 65.697088 \r\nL 209.941728 61.959622 \r\nL 210.467471 60.139009 \r\nL 210.868696 59.424391 \r\nL 211.159238 59.282924 \r\nL 211.408274 59.416693 \r\nL 211.698817 59.872104 \r\nL 212.072371 60.931242 \r\nL 212.542772 63.015351 \r\nL 213.123857 66.712636 \r\nL 213.829459 72.772655 \r\nL 214.68725 82.199367 \r\nL 215.807912 97.18317 \r\nL 217.993896 130.261417 \r\nL 219.529619 151.626291 \r\nL 220.553434 163.005784 \r\nL 221.383554 169.933664 \r\nL 222.061486 173.869567 \r\nL 222.601064 175.841968 \r\nL 223.016124 176.652034 \r\nL 223.334337 176.859907 \r\nL 223.583373 176.776327 \r\nL 223.873915 176.411117 \r\nL 224.24747 175.5302 \r\nL 224.717871 173.792794 \r\nL 225.312791 170.666773 \r\nL 226.059899 165.443754 \r\nL 227.014538 157.050196 \r\nL 228.259718 143.970098 \r\nL 229.836947 124.952045 \r\nL 231.386505 103.627715 \r\nL 232.700862 82.474753 \r\nL 234.195079 54.371814 \r\nL 235.177388 37.787216 \r\nL 235.799978 30.720917 \r\nL 236.311886 27.185211 \r\nL 236.713111 25.766535 \r\nL 236.989817 25.436402 \r\nL 237.183512 25.504886 \r\nL 237.404878 25.873849 \r\nL 237.709255 26.868331 \r\nL 238.124315 29.090589 \r\nL 238.650058 33.254634 \r\nL 239.300319 40.335861 \r\nL 240.088933 51.516512 \r\nL 241.057407 68.611738 \r\nL 242.316423 95.09962 \r\nL 245.913611 173.423438 \r\nL 246.812909 187.084905 \r\nL 247.532346 194.980258 \r\nL 248.11343 199.155877 \r\nL 248.556161 200.928612 \r\nL 248.860539 201.418608 \r\nL 249.054234 201.419383 \r\nL 249.261764 201.154122 \r\nL 249.53847 200.382259 \r\nL 249.92586 198.544046 \r\nL 250.451603 194.822763 \r\nL 251.226382 187.5178 \r\nL 252.692928 171.142079 \r\nL 255.058771 142.330471 \r\nL 256.981883 116.137249 \r\nL 261.201662 57.16661 \r\nL 262.1563 47.693231 \r\nL 262.903409 42.277034 \r\nL 263.512163 39.324055 \r\nL 263.982565 37.9913 \r\nL 264.342284 37.543919 \r\nL 264.59132 37.526789 \r\nL 264.840356 37.749194 \r\nL 265.158569 38.38059 \r\nL 265.559794 39.726505 \r\nL 266.071701 42.316405 \r\nL 266.694292 46.738607 \r\nL 267.4414 53.783271 \r\nL 268.326862 64.376218 \r\nL 269.392183 79.943362 \r\nL 270.70654 102.615521 \r\nL 272.615817 139.912006 \r\nL 274.35907 172.666342 \r\nL 275.244531 185.361829 \r\nL 275.950134 192.566491 \r\nL 276.517383 196.342283 \r\nL 276.960114 198.020475 \r\nL 277.278326 198.536988 \r\nL 277.499692 198.555462 \r\nL 277.707222 198.318349 \r\nL 277.983929 197.61836 \r\nL 278.357483 195.975292 \r\nL 278.827884 192.760502 \r\nL 279.395133 187.183249 \r\nL 280.073065 178.131682 \r\nL 280.930856 163.395049 \r\nL 282.549591 130.667377 \r\nL 284.33435 96.57126 \r\nL 285.662542 75.26312 \r\nL 286.741699 61.263156 \r\nL 287.613325 52.585876 \r\nL 288.318927 47.557745 \r\nL 288.872341 45.004863 \r\nL 289.301237 43.933961 \r\nL 289.591779 43.683364 \r\nL 289.813144 43.759637 \r\nL 290.06218 44.129854 \r\nL 290.380393 45.054276 \r\nL 290.781618 46.967778 \r\nL 291.265855 50.437171 \r\nL 291.846939 56.360561 \r\nL 292.511035 65.587022 \r\nL 293.313485 80.120439 \r\nL 296.191236 135.783363 \r\nL 297.118203 147.870172 \r\nL 297.934488 155.803711 \r\nL 298.640091 160.675089 \r\nL 299.23501 163.385405 \r\nL 299.719247 164.668923 \r\nL 300.078966 165.097979 \r\nL 300.355673 165.130036 \r\nL 300.618544 164.925174 \r\nL 300.950592 164.345979 \r\nL 301.379488 163.084912 \r\nL 301.919066 160.71678 \r\nL 302.583163 156.699346 \r\nL 303.413283 150.189024 \r\nL 304.506275 139.693127 \r\nL 308.5877 98.626622 \r\nL 309.473162 92.764947 \r\nL 310.206435 89.276307 \r\nL 310.81519 87.342478 \r\nL 311.327097 86.374061 \r\nL 311.742157 86.007335 \r\nL 312.088041 85.970016 \r\nL 312.433924 86.159361 \r\nL 312.848985 86.659815 \r\nL 313.388563 87.70063 \r\nL 314.094165 89.594284 \r\nL 315.187157 93.258134 \r\nL 316.875068 98.84679 \r\nL 317.566835 100.415819 \r\nL 318.051072 101.041949 \r\nL 318.396956 101.183435 \r\nL 318.687498 101.070207 \r\nL 318.991875 100.693027 \r\nL 319.351594 99.861228 \r\nL 319.78049 98.245725 \r\nL 320.264727 95.489469 \r\nL 320.831976 90.874675 \r\nL 321.62059 82.350063 \r\nL 322.533722 73.072919 \r\nL 323.004124 70.333572 \r\nL 323.336172 69.450103 \r\nL 323.557537 69.331726 \r\nL 323.737397 69.500215 \r\nL 323.986433 70.105891 \r\nL 324.332316 71.618519 \r\nL 324.802718 74.813395 \r\nL 325.411473 80.648514 \r\nL 326.200087 90.567377 \r\nL 327.251573 106.88945 \r\nL 328.980991 137.823058 \r\nL 331.083962 174.426146 \r\nL 332.246131 190.885032 \r\nL 333.173098 201.060321 \r\nL 333.934042 207.180645 \r\nL 334.570468 210.673738 \r\nL 335.082375 212.393004 \r\nL 335.469765 213.048344 \r\nL 335.760307 213.176932 \r\nL 336.009343 213.041251 \r\nL 336.299885 212.598125 \r\nL 336.673439 211.581464 \r\nL 337.143841 209.593553 \r\nL 337.71109 206.160109 \r\nL 338.389022 200.589947 \r\nL 339.177636 192.127243 \r\nL 340.076933 179.919266 \r\nL 341.100748 162.834402 \r\nL 342.332093 138.31454 \r\nL 344.324382 93.307943 \r\nL 346.039964 56.633292 \r\nL 347.09145 38.647899 \r\nL 347.921571 27.955367 \r\nL 348.599502 21.833435 \r\nL 349.13908 18.731323 \r\nL 349.554141 17.435435 \r\nL 349.844683 17.095669 \r\nL 350.052213 17.138918 \r\nL 350.287414 17.475189 \r\nL 350.591791 18.361275 \r\nL 350.993016 20.300241 \r\nL 351.491088 23.91099 \r\nL 352.099843 30.100198 \r\nL 352.819281 39.87121 \r\nL 353.649401 54.360338 \r\nL 354.60404 75.150152 \r\nL 355.752373 105.436909 \r\nL 357.938356 164.1614 \r\nL 358.948336 184.61209 \r\nL 359.819963 198.106571 \r\nL 360.567071 206.553091 \r\nL 361.189661 211.35065 \r\nL 361.687733 213.699676 \r\nL 362.061288 214.585019 \r\nL 362.324159 214.756051 \r\nL 362.531689 214.627243 \r\nL 362.780725 214.165927 \r\nL 363.112773 213.032628 \r\nL 363.541669 210.701081 \r\nL 364.081247 206.408215 \r\nL 364.427131 202.885323 \r\nL 364.427131 202.885323 \r\n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\r\n   </g>\r\n   <g id=\"patch_3\">\r\n    <path d=\"M 44.845313 224.64 \r\nL 44.845313 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_4\">\r\n    <path d=\"M 379.645313 224.64 \r\nL 379.645313 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_5\">\r\n    <path d=\"M 44.845313 224.64 \r\nL 379.645313 224.64 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_6\">\r\n    <path d=\"M 44.845313 7.2 \r\nL 379.645313 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n  </g>\r\n </g>\r\n <defs>\r\n  <clipPath id=\"p71a87913fa\">\r\n   <rect height=\"217.44\" width=\"334.8\" x=\"44.845313\" y=\"7.2\"/>\r\n  </clipPath>\r\n </defs>\r\n</svg>\r\n",
      "image/png": "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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\r\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\r\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\r\n<!-- Created with matplotlib (https://matplotlib.org/) -->\r\n<svg height=\"248.518125pt\" version=\"1.1\" viewBox=\"0 0 370.942187 248.518125\" width=\"370.942187pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\r\n <metadata>\r\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\r\n   <cc:Work>\r\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\r\n    <dc:date>2021-07-23T15:34:26.224024</dc:date>\r\n    <dc:format>image/svg+xml</dc:format>\r\n    <dc:creator>\r\n     <cc:Agent>\r\n      <dc:title>Matplotlib v3.3.2, https://matplotlib.org/</dc:title>\r\n     </cc:Agent>\r\n    </dc:creator>\r\n   </cc:Work>\r\n  </rdf:RDF>\r\n </metadata>\r\n <defs>\r\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\r\n </defs>\r\n <g id=\"figure_1\">\r\n  <g id=\"patch_1\">\r\n   <path d=\"M 0 248.518125 \r\nL 370.942187 248.518125 \r\nL 370.942187 0 \r\nL 0 0 \r\nz\r\n\" style=\"fill:none;\"/>\r\n  </g>\r\n  <g id=\"axes_1\">\r\n   <g id=\"patch_2\">\r\n    <path d=\"M 28.942188 224.64 \r\nL 363.742188 224.64 \r\nL 363.742188 7.2 \r\nL 28.942188 7.2 \r\nz\r\n\" style=\"fill:#ffffff;\"/>\r\n   </g>\r\n   <g id=\"matplotlib.axis_1\">\r\n    <g id=\"xtick_1\">\r\n     <g id=\"line2d_1\">\r\n      <defs>\r\n       <path d=\"M 0 0 \r\nL 0 3.5 \r\n\" id=\"mcdb9f57b52\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n      </defs>\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.160369\" xlink:href=\"#mcdb9f57b52\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_1\">\r\n      <!-- 0 -->\r\n      <g transform=\"translate(40.979119 239.238438)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 31.78125 66.40625 \r\nQ 24.171875 66.40625 20.328125 58.90625 \r\nQ 16.5 51.421875 16.5 36.375 \r\nQ 16.5 21.390625 20.328125 13.890625 \r\nQ 24.171875 6.390625 31.78125 6.390625 \r\nQ 39.453125 6.390625 43.28125 13.890625 \r\nQ 47.125 21.390625 47.125 36.375 \r\nQ 47.125 51.421875 43.28125 58.90625 \r\nQ 39.453125 66.40625 31.78125 66.40625 \r\nz\r\nM 31.78125 74.21875 \r\nQ 44.046875 74.21875 50.515625 64.515625 \r\nQ 56.984375 54.828125 56.984375 36.375 \r\nQ 56.984375 17.96875 50.515625 8.265625 \r\nQ 44.046875 -1.421875 31.78125 -1.421875 \r\nQ 19.53125 -1.421875 13.0625 8.265625 \r\nQ 6.59375 17.96875 6.59375 36.375 \r\nQ 6.59375 54.828125 13.0625 64.515625 \r\nQ 19.53125 74.21875 31.78125 74.21875 \r\nz\r\n\" id=\"DejaVuSans-48\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_2\">\r\n     <g id=\"line2d_2\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.337067\" xlink:href=\"#mcdb9f57b52\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_2\">\r\n      <!-- 5 -->\r\n      <g transform=\"translate(110.155817 239.238438)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 10.796875 72.90625 \r\nL 49.515625 72.90625 \r\nL 49.515625 64.59375 \r\nL 19.828125 64.59375 \r\nL 19.828125 46.734375 \r\nQ 21.96875 47.46875 24.109375 47.828125 \r\nQ 26.265625 48.1875 28.421875 48.1875 \r\nQ 40.625 48.1875 47.75 41.5 \r\nQ 54.890625 34.8125 54.890625 23.390625 \r\nQ 54.890625 11.625 47.5625 5.09375 \r\nQ 40.234375 -1.421875 26.90625 -1.421875 \r\nQ 22.3125 -1.421875 17.546875 -0.640625 \r\nQ 12.796875 0.140625 7.71875 1.703125 \r\nL 7.71875 11.625 \r\nQ 12.109375 9.234375 16.796875 8.0625 \r\nQ 21.484375 6.890625 26.703125 6.890625 \r\nQ 35.15625 6.890625 40.078125 11.328125 \r\nQ 45.015625 15.765625 45.015625 23.390625 \r\nQ 45.015625 31 40.078125 35.4375 \r\nQ 35.15625 39.890625 26.703125 39.890625 \r\nQ 22.75 39.890625 18.8125 39.015625 \r\nQ 14.890625 38.140625 10.796875 36.28125 \r\nz\r\n\" id=\"DejaVuSans-53\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_3\">\r\n     <g id=\"line2d_3\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.513766\" xlink:href=\"#mcdb9f57b52\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_3\">\r\n      <!-- 10 -->\r\n      <g transform=\"translate(176.151266 239.238438)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 12.40625 8.296875 \r\nL 28.515625 8.296875 \r\nL 28.515625 63.921875 \r\nL 10.984375 60.40625 \r\nL 10.984375 69.390625 \r\nL 28.421875 72.90625 \r\nL 38.28125 72.90625 \r\nL 38.28125 8.296875 \r\nL 54.390625 8.296875 \r\nL 54.390625 0 \r\nL 12.40625 0 \r\nz\r\n\" id=\"DejaVuSans-49\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-49\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_4\">\r\n     <g id=\"line2d_4\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"251.690464\" xlink:href=\"#mcdb9f57b52\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_4\">\r\n      <!-- 15 -->\r\n      <g transform=\"translate(245.327964 239.238438)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-49\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_5\">\r\n     <g id=\"line2d_5\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"320.867162\" xlink:href=\"#mcdb9f57b52\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_5\">\r\n      <!-- 20 -->\r\n      <g transform=\"translate(314.504662 239.238438)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 19.1875 8.296875 \r\nL 53.609375 8.296875 \r\nL 53.609375 0 \r\nL 7.328125 0 \r\nL 7.328125 8.296875 \r\nQ 12.9375 14.109375 22.625 23.890625 \r\nQ 32.328125 33.6875 34.8125 36.53125 \r\nQ 39.546875 41.84375 41.421875 45.53125 \r\nQ 43.3125 49.21875 43.3125 52.78125 \r\nQ 43.3125 58.59375 39.234375 62.25 \r\nQ 35.15625 65.921875 28.609375 65.921875 \r\nQ 23.96875 65.921875 18.8125 64.3125 \r\nQ 13.671875 62.703125 7.8125 59.421875 \r\nL 7.8125 69.390625 \r\nQ 13.765625 71.78125 18.9375 73 \r\nQ 24.125 74.21875 28.421875 74.21875 \r\nQ 39.75 74.21875 46.484375 68.546875 \r\nQ 53.21875 62.890625 53.21875 53.421875 \r\nQ 53.21875 48.921875 51.53125 44.890625 \r\nQ 49.859375 40.875 45.40625 35.40625 \r\nQ 44.1875 33.984375 37.640625 27.21875 \r\nQ 31.109375 20.453125 19.1875 8.296875 \r\nz\r\n\" id=\"DejaVuSans-50\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-50\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n   </g>\r\n   <g id=\"matplotlib.axis_2\">\r\n    <g id=\"ytick_1\">\r\n     <g id=\"line2d_6\">\r\n      <defs>\r\n       <path d=\"M 0 0 \r\nL -3.5 0 \r\n\" id=\"m735113dfa0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n      </defs>\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m735113dfa0\" y=\"202.440945\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_6\">\r\n      <!-- −2 -->\r\n      <g transform=\"translate(7.2 206.240164)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 10.59375 35.5 \r\nL 73.1875 35.5 \r\nL 73.1875 27.203125 \r\nL 10.59375 27.203125 \r\nz\r\n\" id=\"DejaVuSans-8722\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_2\">\r\n     <g id=\"line2d_7\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m735113dfa0\" y=\"164.658426\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_7\">\r\n      <!-- −1 -->\r\n      <g transform=\"translate(7.2 168.457645)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-49\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_3\">\r\n     <g id=\"line2d_8\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m735113dfa0\" y=\"126.875907\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_8\">\r\n      <!-- 0 -->\r\n      <g transform=\"translate(15.579688 130.675126)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_4\">\r\n     <g id=\"line2d_9\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m735113dfa0\" y=\"89.093388\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_9\">\r\n      <!-- 1 -->\r\n      <g transform=\"translate(15.579688 92.892607)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-49\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_5\">\r\n     <g id=\"line2d_10\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m735113dfa0\" y=\"51.31087\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_10\">\r\n      <!-- 2 -->\r\n      <g transform=\"translate(15.579688 55.110088)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-50\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_6\">\r\n     <g id=\"line2d_11\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m735113dfa0\" y=\"13.528351\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_11\">\r\n      <!-- 3 -->\r\n      <g transform=\"translate(15.579688 17.327569)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 40.578125 39.3125 \r\nQ 47.65625 37.796875 51.625 33 \r\nQ 55.609375 28.21875 55.609375 21.1875 \r\nQ 55.609375 10.40625 48.1875 4.484375 \r\nQ 40.765625 -1.421875 27.09375 -1.421875 \r\nQ 22.515625 -1.421875 17.65625 -0.515625 \r\nQ 12.796875 0.390625 7.625 2.203125 \r\nL 7.625 11.71875 \r\nQ 11.71875 9.328125 16.59375 8.109375 \r\nQ 21.484375 6.890625 26.8125 6.890625 \r\nQ 36.078125 6.890625 40.9375 10.546875 \r\nQ 45.796875 14.203125 45.796875 21.1875 \r\nQ 45.796875 27.640625 41.28125 31.265625 \r\nQ 36.765625 34.90625 28.71875 34.90625 \r\nL 20.21875 34.90625 \r\nL 20.21875 43.015625 \r\nL 29.109375 43.015625 \r\nQ 36.375 43.015625 40.234375 45.921875 \r\nQ 44.09375 48.828125 44.09375 54.296875 \r\nQ 44.09375 59.90625 40.109375 62.90625 \r\nQ 36.140625 65.921875 28.71875 65.921875 \r\nQ 24.65625 65.921875 20.015625 65.03125 \r\nQ 15.375 64.15625 9.8125 62.3125 \r\nL 9.8125 71.09375 \r\nQ 15.4375 72.65625 20.34375 73.4375 \r\nQ 25.25 74.21875 29.59375 74.21875 \r\nQ 40.828125 74.21875 47.359375 69.109375 \r\nQ 53.90625 64.015625 53.90625 55.328125 \r\nQ 53.90625 49.265625 50.4375 45.09375 \r\nQ 46.96875 40.921875 40.578125 39.3125 \r\nz\r\n\" id=\"DejaVuSans-51\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-51\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n   </g>\r\n   <g id=\"line2d_12\">\r\n    <path clip-path=\"url(#p0f57e91356)\" d=\"M 44.160369 97.201455 \r\nL 44.561594 97.087639 \r\nL 45.004325 96.710177 \r\nL 45.516233 95.957444 \r\nL 46.152658 94.591273 \r\nL 46.996614 92.191792 \r\nL 48.629184 86.689105 \r\nL 50.151071 81.930072 \r\nL 51.285569 79.086744 \r\nL 52.309384 77.091684 \r\nL 53.305529 75.619009 \r\nL 54.343179 74.475348 \r\nL 55.546854 73.486933 \r\nL 57.110247 72.503028 \r\nL 58.535287 71.842441 \r\nL 59.462255 71.640951 \r\nL 60.167857 71.705276 \r\nL 60.790448 71.987562 \r\nL 61.385367 72.512414 \r\nL 61.994122 73.363972 \r\nL 62.630548 74.653676 \r\nL 63.322315 76.585855 \r\nL 64.069423 79.370734 \r\nL 64.871873 83.262984 \r\nL 65.729664 88.573398 \r\nL 66.670467 95.869148 \r\nL 69.423699 118.470652 \r\nL 70.267655 122.788449 \r\nL 71.08394 125.85856 \r\nL 71.858719 127.961456 \r\nL 72.578157 129.313532 \r\nL 73.214583 130.075113 \r\nL 73.781831 130.428367 \r\nL 74.279904 130.491009 \r\nL 74.777976 130.323573 \r\nL 75.303719 129.898262 \r\nL 75.912474 129.093831 \r\nL 76.645747 127.719758 \r\nL 77.766409 125.061974 \r\nL 79.094602 122.062079 \r\nL 79.869381 120.830907 \r\nL 80.519642 120.181802 \r\nL 81.086891 119.910014 \r\nL 81.612634 119.901533 \r\nL 82.138377 120.125609 \r\nL 82.69179 120.61418 \r\nL 83.300545 121.459785 \r\nL 83.978477 122.806885 \r\nL 84.697914 124.758937 \r\nL 85.445023 127.456238 \r\nL 86.205966 131.066108 \r\nL 86.980745 135.861066 \r\nL 87.824701 142.577238 \r\nL 90.453416 164.862973 \r\nL 91.380383 170.155336 \r\nL 92.25201 173.909792 \r\nL 93.068295 176.502372 \r\nL 93.843074 178.26034 \r\nL 94.576347 179.402999 \r\nL 95.30962 180.146277 \r\nL 96.084399 180.613832 \r\nL 96.997531 180.89633 \r\nL 98.436407 181.07519 \r\nL 100.954438 181.16491 \r\nL 102.005924 180.987427 \r\nL 102.84988 180.623574 \r\nL 103.638494 180.038204 \r\nL 104.440944 179.154304 \r\nL 105.298735 177.864449 \r\nL 106.29488 175.937831 \r\nL 107.650743 172.772963 \r\nL 109.518514 168.478677 \r\nL 110.320963 167.172927 \r\nL 110.943554 166.541692 \r\nL 111.469297 166.304305 \r\nL 111.939698 166.328501 \r\nL 112.43777 166.589863 \r\nL 113.018855 167.169848 \r\nL 113.793634 168.292891 \r\nL 115.993453 171.670334 \r\nL 116.588372 172.112356 \r\nL 117.058774 172.206837 \r\nL 117.487669 172.069779 \r\nL 117.9304 171.686183 \r\nL 118.428472 170.942935 \r\nL 119.009557 169.640129 \r\nL 119.673653 167.559884 \r\nL 120.434597 164.390395 \r\nL 121.292388 159.809112 \r\nL 122.247026 153.442703 \r\nL 123.270841 145.041691 \r\nL 124.294656 134.738009 \r\nL 125.346142 121.769249 \r\nL 127.850339 89.574076 \r\nL 129.164696 76.456678 \r\nL 130.575901 64.551343 \r\nL 131.987105 54.465213 \r\nL 133.273792 46.791854 \r\nL 134.40829 41.295654 \r\nL 135.390599 37.56245 \r\nL 136.24839 35.117594 \r\nL 136.981663 33.643444 \r\nL 137.618088 32.825171 \r\nL 138.157667 32.463332 \r\nL 138.641904 32.392737 \r\nL 139.112305 32.548321 \r\nL 139.624213 32.960335 \r\nL 140.219132 33.743181 \r\nL 140.924735 35.070353 \r\nL 141.754855 37.141267 \r\nL 142.737164 40.228612 \r\nL 143.899333 44.65838 \r\nL 145.241361 50.686411 \r\nL 146.707907 58.321719 \r\nL 148.160617 67.078711 \r\nL 149.48881 76.449156 \r\nL 150.678649 86.448629 \r\nL 151.730135 97.199652 \r\nL 152.726279 109.765343 \r\nL 154.843086 137.587525 \r\nL 155.894572 147.594014 \r\nL 157.084411 156.785667 \r\nL 158.412604 165.338542 \r\nL 159.837644 173.096922 \r\nL 161.235013 179.514856 \r\nL 162.54937 184.551619 \r\nL 163.822222 188.582363 \r\nL 165.136579 192.015139 \r\nL 166.575454 195.149031 \r\nL 168.152683 198.058345 \r\nL 169.508546 200.126834 \r\nL 170.504691 201.272839 \r\nL 171.265634 201.834265 \r\nL 171.874389 202.026053 \r\nL 172.400132 201.968333 \r\nL 172.91204 201.68166 \r\nL 173.437783 201.119935 \r\nL 174.018867 200.148371 \r\nL 174.655293 198.620367 \r\nL 175.360895 196.314095 \r\nL 176.149509 192.933344 \r\nL 177.034971 188.105421 \r\nL 178.044951 181.285105 \r\nL 179.179449 172.011657 \r\nL 180.383123 160.279129 \r\nL 181.531456 146.897082 \r\nL 182.569107 132.17245 \r\nL 185.626717 85.948784 \r\nL 187.037922 70.103744 \r\nL 188.61515 54.862389 \r\nL 190.109367 42.477845 \r\nL 191.409889 33.459716 \r\nL 192.516716 27.239243 \r\nL 193.48519 22.983761 \r\nL 194.329146 20.213154 \r\nL 195.048583 18.546464 \r\nL 195.671174 17.615387 \r\nL 196.196916 17.190967 \r\nL 196.653483 17.08393 \r\nL 197.096214 17.20487 \r\nL 197.58045 17.580472 \r\nL 198.147699 18.326385 \r\nL 198.825631 19.616398 \r\nL 199.655751 21.71282 \r\nL 200.721072 25.057405 \r\nL 202.464325 31.395115 \r\nL 204.608803 38.97759 \r\nL 205.881654 42.674624 \r\nL 207.029987 45.346878 \r\nL 208.233662 47.580979 \r\nL 210.973059 52.412669 \r\nL 211.858521 54.651057 \r\nL 212.716312 57.448869 \r\nL 213.601774 61.124737 \r\nL 214.542577 66.028391 \r\nL 215.524886 72.380092 \r\nL 216.534866 80.418654 \r\nL 217.586351 90.650182 \r\nL 220.118219 116.419102 \r\nL 221.045186 122.815579 \r\nL 221.999825 127.905555 \r\nL 222.954463 131.84001 \r\nL 223.867596 134.717445 \r\nL 224.725387 136.72465 \r\nL 225.500166 138.009387 \r\nL 226.233439 138.815077 \r\nL 226.980547 139.309947 \r\nL 229.291049 140.573478 \r\nL 229.885968 141.38043 \r\nL 230.494723 142.601725 \r\nL 231.15882 144.468793 \r\nL 231.878257 147.204462 \r\nL 232.653036 151.074457 \r\nL 233.524663 156.647333 \r\nL 234.659161 165.51749 \r\nL 236.845144 182.726015 \r\nL 237.993477 189.906222 \r\nL 239.003457 194.904079 \r\nL 239.875084 198.181736 \r\nL 240.622192 200.199463 \r\nL 241.258618 201.331007 \r\nL 241.78436 201.860277 \r\nL 242.240927 202.030246 \r\nL 242.669822 201.955667 \r\nL 243.140224 201.63 \r\nL 243.693637 200.951735 \r\nL 244.385404 199.722758 \r\nL 245.312372 197.576115 \r\nL 246.778918 193.531888 \r\nL 252.811126 175.793094 \r\nL 254.125483 170.909404 \r\nL 255.384499 165.340886 \r\nL 256.768033 158.149755 \r\nL 259.078535 146.001787 \r\nL 259.922491 142.861041 \r\nL 260.628093 141.031976 \r\nL 261.209177 140.085164 \r\nL 261.679579 139.694966 \r\nL 262.066968 139.632268 \r\nL 262.440523 139.799135 \r\nL 262.855583 140.254082 \r\nL 263.33982 141.153658 \r\nL 263.907069 142.717652 \r\nL 264.612671 145.377467 \r\nL 265.857851 151.166081 \r\nL 266.950843 155.762667 \r\nL 267.711787 158.068361 \r\nL 268.334377 159.311703 \r\nL 268.846285 159.89432 \r\nL 269.27518 160.082102 \r\nL 269.676405 160.016347 \r\nL 270.091465 159.710439 \r\nL 270.575702 159.059479 \r\nL 271.156787 157.880461 \r\nL 271.862389 155.900496 \r\nL 272.692509 152.853169 \r\nL 273.633312 148.512502 \r\nL 274.670963 142.62897 \r\nL 275.722449 135.353202 \r\nL 276.760099 126.569072 \r\nL 277.977609 114.159762 \r\nL 279.693191 96.996375 \r\nL 281.06289 85.697078 \r\nL 282.653954 74.43983 \r\nL 284.632407 62.070618 \r\nL 286.873732 49.428537 \r\nL 288.60315 40.832339 \r\nL 289.84833 35.685392 \r\nL 290.816804 32.551317 \r\nL 291.605418 30.690778 \r\nL 292.255679 29.680363 \r\nL 292.781422 29.230609 \r\nL 293.237989 29.113493 \r\nL 293.666884 29.236646 \r\nL 294.12345 29.614466 \r\nL 294.649193 30.358991 \r\nL 295.271783 31.654895 \r\nL 296.005056 33.727305 \r\nL 296.876683 36.902724 \r\nL 297.900498 41.52931 \r\nL 299.076502 47.924668 \r\nL 300.377024 56.262346 \r\nL 301.719052 66.323919 \r\nL 302.991903 77.545388 \r\nL 304.140236 89.640325 \r\nL 305.233228 103.598922 \r\nL 307.599071 135.085784 \r\nL 308.678228 145.529669 \r\nL 309.854231 154.788306 \r\nL 311.127083 163.081678 \r\nL 312.482946 170.476557 \r\nL 314.004833 177.53975 \r\nL 316.384512 187.362665 \r\nL 321.8218 208.958926 \r\nL 322.845615 211.917244 \r\nL 323.63423 213.575712 \r\nL 324.242985 214.394791 \r\nL 324.727222 214.71555 \r\nL 325.128446 214.73772 \r\nL 325.515836 214.536066 \r\nL 325.944731 214.045658 \r\nL 326.442804 213.113969 \r\nL 327.037723 211.489664 \r\nL 327.743326 208.871826 \r\nL 328.628787 204.655101 \r\nL 329.818627 197.795366 \r\nL 338.133666 145.848866 \r\nL 339.365011 136.309481 \r\nL 342.865352 107.659934 \r\nL 344.470251 97.758568 \r\nL 348.524006 74.64279 \r\nL 348.524006 74.64279 \r\n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\r\n   </g>\r\n   <g id=\"patch_3\">\r\n    <path d=\"M 28.942188 224.64 \r\nL 28.942188 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_4\">\r\n    <path d=\"M 363.742188 224.64 \r\nL 363.742188 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_5\">\r\n    <path d=\"M 28.942188 224.64 \r\nL 363.742188 224.64 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_6\">\r\n    <path d=\"M 28.942188 7.2 \r\nL 363.742188 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n  </g>\r\n </g>\r\n <defs>\r\n  <clipPath id=\"p0f57e91356\">\r\n   <rect height=\"217.44\" width=\"334.8\" x=\"28.942188\" y=\"7.2\"/>\r\n  </clipPath>\r\n </defs>\r\n</svg>\r\n",
      "image/png": "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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\r\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\r\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\r\n<!-- Created with matplotlib (https://matplotlib.org/) -->\r\n<svg height=\"248.518125pt\" version=\"1.1\" viewBox=\"0 0 374.90306 248.518125\" width=\"374.90306pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\r\n <metadata>\r\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\r\n   <cc:Work>\r\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\r\n    <dc:date>2021-07-23T15:34:26.722236</dc:date>\r\n    <dc:format>image/svg+xml</dc:format>\r\n    <dc:creator>\r\n     <cc:Agent>\r\n      <dc:title>Matplotlib v3.3.2, https://matplotlib.org/</dc:title>\r\n     </cc:Agent>\r\n    </dc:creator>\r\n   </cc:Work>\r\n  </rdf:RDF>\r\n </metadata>\r\n <defs>\r\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\r\n </defs>\r\n <g id=\"figure_1\">\r\n  <g id=\"patch_1\">\r\n   <path d=\"M 0 248.518125 \r\nL 374.90306 248.518125 \r\nL 374.90306 0 \r\nL 0 0 \r\nz\r\n\" style=\"fill:none;\"/>\r\n  </g>\r\n  <g id=\"axes_1\">\r\n   <g id=\"patch_2\">\r\n    <path d=\"M 28.942188 224.64 \r\nL 363.742188 224.64 \r\nL 363.742188 7.2 \r\nL 28.942188 7.2 \r\nz\r\n\" style=\"fill:#ffffff;\"/>\r\n   </g>\r\n   <g id=\"matplotlib.axis_1\">\r\n    <g id=\"xtick_1\">\r\n     <g id=\"line2d_1\">\r\n      <defs>\r\n       <path d=\"M 0 0 \r\nL 0 3.5 \r\n\" id=\"m876ccdec39\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n      </defs>\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.899548\" xlink:href=\"#m876ccdec39\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_1\">\r\n      <!-- −1.00 -->\r\n      <g transform=\"translate(23.576892 239.238437)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 10.59375 35.5 \r\nL 73.1875 35.5 \r\nL 73.1875 27.203125 \r\nL 10.59375 27.203125 \r\nz\r\n\" id=\"DejaVuSans-8722\"/>\r\n        <path d=\"M 12.40625 8.296875 \r\nL 28.515625 8.296875 \r\nL 28.515625 63.921875 \r\nL 10.984375 60.40625 \r\nL 10.984375 69.390625 \r\nL 28.421875 72.90625 \r\nL 38.28125 72.90625 \r\nL 38.28125 8.296875 \r\nL 54.390625 8.296875 \r\nL 54.390625 0 \r\nL 12.40625 0 \r\nz\r\n\" id=\"DejaVuSans-49\"/>\r\n        <path d=\"M 10.6875 12.40625 \r\nL 21 12.40625 \r\nL 21 0 \r\nL 10.6875 0 \r\nz\r\n\" id=\"DejaVuSans-46\"/>\r\n        <path d=\"M 31.78125 66.40625 \r\nQ 24.171875 66.40625 20.328125 58.90625 \r\nQ 16.5 51.421875 16.5 36.375 \r\nQ 16.5 21.390625 20.328125 13.890625 \r\nQ 24.171875 6.390625 31.78125 6.390625 \r\nQ 39.453125 6.390625 43.28125 13.890625 \r\nQ 47.125 21.390625 47.125 36.375 \r\nQ 47.125 51.421875 43.28125 58.90625 \r\nQ 39.453125 66.40625 31.78125 66.40625 \r\nz\r\nM 31.78125 74.21875 \r\nQ 44.046875 74.21875 50.515625 64.515625 \r\nQ 56.984375 54.828125 56.984375 36.375 \r\nQ 56.984375 17.96875 50.515625 8.265625 \r\nQ 44.046875 -1.421875 31.78125 -1.421875 \r\nQ 19.53125 -1.421875 13.0625 8.265625 \r\nQ 6.59375 17.96875 6.59375 36.375 \r\nQ 6.59375 54.828125 13.0625 64.515625 \r\nQ 19.53125 74.21875 31.78125 74.21875 \r\nz\r\n\" id=\"DejaVuSans-48\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-49\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_2\">\r\n     <g id=\"line2d_2\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"78.608386\" xlink:href=\"#m876ccdec39\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_2\">\r\n      <!-- −0.75 -->\r\n      <g transform=\"translate(63.285729 239.238437)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 8.203125 72.90625 \r\nL 55.078125 72.90625 \r\nL 55.078125 68.703125 \r\nL 28.609375 0 \r\nL 18.3125 0 \r\nL 43.21875 64.59375 \r\nL 8.203125 64.59375 \r\nz\r\n\" id=\"DejaVuSans-55\"/>\r\n        <path d=\"M 10.796875 72.90625 \r\nL 49.515625 72.90625 \r\nL 49.515625 64.59375 \r\nL 19.828125 64.59375 \r\nL 19.828125 46.734375 \r\nQ 21.96875 47.46875 24.109375 47.828125 \r\nQ 26.265625 48.1875 28.421875 48.1875 \r\nQ 40.625 48.1875 47.75 41.5 \r\nQ 54.890625 34.8125 54.890625 23.390625 \r\nQ 54.890625 11.625 47.5625 5.09375 \r\nQ 40.234375 -1.421875 26.90625 -1.421875 \r\nQ 22.3125 -1.421875 17.546875 -0.640625 \r\nQ 12.796875 0.140625 7.71875 1.703125 \r\nL 7.71875 11.625 \r\nQ 12.109375 9.234375 16.796875 8.0625 \r\nQ 21.484375 6.890625 26.703125 6.890625 \r\nQ 35.15625 6.890625 40.078125 11.328125 \r\nQ 45.015625 15.765625 45.015625 23.390625 \r\nQ 45.015625 31 40.078125 35.4375 \r\nQ 35.15625 39.890625 26.703125 39.890625 \r\nQ 22.75 39.890625 18.8125 39.015625 \r\nQ 14.890625 38.140625 10.796875 36.28125 \r\nz\r\n\" id=\"DejaVuSans-53\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-55\"/>\r\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_3\">\r\n     <g id=\"line2d_3\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"118.317223\" xlink:href=\"#m876ccdec39\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_3\">\r\n      <!-- −0.50 -->\r\n      <g transform=\"translate(102.994567 239.238437)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-53\"/>\r\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_4\">\r\n     <g id=\"line2d_4\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"158.02606\" xlink:href=\"#m876ccdec39\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_4\">\r\n      <!-- −0.25 -->\r\n      <g transform=\"translate(142.703404 239.238437)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 19.1875 8.296875 \r\nL 53.609375 8.296875 \r\nL 53.609375 0 \r\nL 7.328125 0 \r\nL 7.328125 8.296875 \r\nQ 12.9375 14.109375 22.625 23.890625 \r\nQ 32.328125 33.6875 34.8125 36.53125 \r\nQ 39.546875 41.84375 41.421875 45.53125 \r\nQ 43.3125 49.21875 43.3125 52.78125 \r\nQ 43.3125 58.59375 39.234375 62.25 \r\nQ 35.15625 65.921875 28.609375 65.921875 \r\nQ 23.96875 65.921875 18.8125 64.3125 \r\nQ 13.671875 62.703125 7.8125 59.421875 \r\nL 7.8125 69.390625 \r\nQ 13.765625 71.78125 18.9375 73 \r\nQ 24.125 74.21875 28.421875 74.21875 \r\nQ 39.75 74.21875 46.484375 68.546875 \r\nQ 53.21875 62.890625 53.21875 53.421875 \r\nQ 53.21875 48.921875 51.53125 44.890625 \r\nQ 49.859375 40.875 45.40625 35.40625 \r\nQ 44.1875 33.984375 37.640625 27.21875 \r\nQ 31.109375 20.453125 19.1875 8.296875 \r\nz\r\n\" id=\"DejaVuSans-50\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-50\"/>\r\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_5\">\r\n     <g id=\"line2d_5\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.734898\" xlink:href=\"#m876ccdec39\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_5\">\r\n      <!-- 0.00 -->\r\n      <g transform=\"translate(186.602085 239.238437)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_6\">\r\n     <g id=\"line2d_6\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"237.443735\" xlink:href=\"#m876ccdec39\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_6\">\r\n      <!-- 0.25 -->\r\n      <g transform=\"translate(226.310923 239.238437)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\r\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_7\">\r\n     <g id=\"line2d_7\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"277.152573\" xlink:href=\"#m876ccdec39\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_7\">\r\n      <!-- 0.50 -->\r\n      <g transform=\"translate(266.01976 239.238437)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-53\"/>\r\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_8\">\r\n     <g id=\"line2d_8\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.86141\" xlink:href=\"#m876ccdec39\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_8\">\r\n      <!-- 0.75 -->\r\n      <g transform=\"translate(305.728598 239.238437)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-55\"/>\r\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_9\">\r\n     <g id=\"line2d_9\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"356.570248\" xlink:href=\"#m876ccdec39\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_9\">\r\n      <!-- 1.00 -->\r\n      <g transform=\"translate(345.437435 239.238437)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-49\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\r\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n   </g>\r\n   <g id=\"matplotlib.axis_2\">\r\n    <g id=\"ytick_1\">\r\n     <g id=\"line2d_10\">\r\n      <defs>\r\n       <path d=\"M 0 0 \r\nL -3.5 0 \r\n\" id=\"ma39b3022f9\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n      </defs>\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#ma39b3022f9\" y=\"218.778795\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_10\">\r\n      <!-- −4 -->\r\n      <g transform=\"translate(7.2 222.578014)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 37.796875 64.3125 \r\nL 12.890625 25.390625 \r\nL 37.796875 25.390625 \r\nz\r\nM 35.203125 72.90625 \r\nL 47.609375 72.90625 \r\nL 47.609375 25.390625 \r\nL 58.015625 25.390625 \r\nL 58.015625 17.1875 \r\nL 47.609375 17.1875 \r\nL 47.609375 0 \r\nL 37.796875 0 \r\nL 37.796875 17.1875 \r\nL 4.890625 17.1875 \r\nL 4.890625 26.703125 \r\nz\r\n\" id=\"DejaVuSans-52\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-52\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_2\">\r\n     <g id=\"line2d_11\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#ma39b3022f9\" y=\"191.0623\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_11\">\r\n      <!-- −3 -->\r\n      <g transform=\"translate(7.2 194.861519)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 40.578125 39.3125 \r\nQ 47.65625 37.796875 51.625 33 \r\nQ 55.609375 28.21875 55.609375 21.1875 \r\nQ 55.609375 10.40625 48.1875 4.484375 \r\nQ 40.765625 -1.421875 27.09375 -1.421875 \r\nQ 22.515625 -1.421875 17.65625 -0.515625 \r\nQ 12.796875 0.390625 7.625 2.203125 \r\nL 7.625 11.71875 \r\nQ 11.71875 9.328125 16.59375 8.109375 \r\nQ 21.484375 6.890625 26.8125 6.890625 \r\nQ 36.078125 6.890625 40.9375 10.546875 \r\nQ 45.796875 14.203125 45.796875 21.1875 \r\nQ 45.796875 27.640625 41.28125 31.265625 \r\nQ 36.765625 34.90625 28.71875 34.90625 \r\nL 20.21875 34.90625 \r\nL 20.21875 43.015625 \r\nL 29.109375 43.015625 \r\nQ 36.375 43.015625 40.234375 45.921875 \r\nQ 44.09375 48.828125 44.09375 54.296875 \r\nQ 44.09375 59.90625 40.109375 62.90625 \r\nQ 36.140625 65.921875 28.71875 65.921875 \r\nQ 24.65625 65.921875 20.015625 65.03125 \r\nQ 15.375 64.15625 9.8125 62.3125 \r\nL 9.8125 71.09375 \r\nQ 15.4375 72.65625 20.34375 73.4375 \r\nQ 25.25 74.21875 29.59375 74.21875 \r\nQ 40.828125 74.21875 47.359375 69.109375 \r\nQ 53.90625 64.015625 53.90625 55.328125 \r\nQ 53.90625 49.265625 50.4375 45.09375 \r\nQ 46.96875 40.921875 40.578125 39.3125 \r\nz\r\n\" id=\"DejaVuSans-51\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-51\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_3\">\r\n     <g id=\"line2d_12\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#ma39b3022f9\" y=\"163.345805\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_12\">\r\n      <!-- −2 -->\r\n      <g transform=\"translate(7.2 167.145024)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_4\">\r\n     <g id=\"line2d_13\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#ma39b3022f9\" y=\"135.62931\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_13\">\r\n      <!-- −1 -->\r\n      <g transform=\"translate(7.2 139.428529)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-49\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_5\">\r\n     <g id=\"line2d_14\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#ma39b3022f9\" y=\"107.912815\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_14\">\r\n      <!-- 0 -->\r\n      <g transform=\"translate(15.579688 111.712034)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_6\">\r\n     <g id=\"line2d_15\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#ma39b3022f9\" y=\"80.196321\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_15\">\r\n      <!-- 1 -->\r\n      <g transform=\"translate(15.579688 83.995539)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-49\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_7\">\r\n     <g id=\"line2d_16\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#ma39b3022f9\" y=\"52.479826\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_16\">\r\n      <!-- 2 -->\r\n      <g transform=\"translate(15.579688 56.279044)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-50\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_8\">\r\n     <g id=\"line2d_17\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#ma39b3022f9\" y=\"24.763331\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_17\">\r\n      <!-- 3 -->\r\n      <g transform=\"translate(15.579688 28.56255)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-51\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n   </g>\r\n   <g id=\"line2d_18\">\r\n    <path clip-path=\"url(#p1800afcc0b)\" d=\"M 322.482789 108.104881 \r\nL 322.346879 111.464901 \r\nL 321.974084 114.913516 \r\nL 321.364653 118.34694 \r\nL 320.519925 121.757277 \r\nL 319.441787 125.136457 \r\nL 318.132692 128.476073 \r\nL 316.595688 131.767272 \r\nL 314.834451 135.000697 \r\nL 312.853317 138.166477 \r\nL 310.657322 141.254281 \r\nL 308.252224 144.253446 \r\nL 305.64452 147.153167 \r\nL 302.841448 149.942762 \r\nL 299.850968 152.611979 \r\nL 296.681715 155.151334 \r\nL 293.34294 157.552456 \r\nL 289.844416 159.808389 \r\nL 286.196335 161.913833 \r\nL 282.087648 164.02091 \r\nL 277.829307 165.945341 \r\nL 273.434915 167.687621 \r\nL 268.917944 169.250483 \r\nL 263.931553 170.738236 \r\nL 258.834239 172.030925 \r\nL 253.267075 173.209729 \r\nL 247.607908 174.18697 \r\nL 241.488923 175.021072 \r\nL 234.914944 175.687704 \r\nL 227.895855 176.164784 \r\nL 220.839568 176.423768 \r\nL 213.374804 176.477413 \r\nL 205.524456 176.306481 \r\nL 197.706996 175.91662 \r\nL 189.560704 175.284358 \r\nL 181.504336 174.434085 \r\nL 173.563599 173.373865 \r\nL 165.763355 172.109838 \r\nL 158.127822 170.646736 \r\nL 150.680711 168.988347 \r\nL 143.784717 167.230363 \r\nL 137.100556 165.300911 \r\nL 130.647714 163.202836 \r\nL 124.749206 161.056409 \r\nL 119.09281 158.763952 \r\nL 113.69421 156.329316 \r\nL 108.831354 153.895788 \r\nL 104.226043 151.343262 \r\nL 99.890276 148.676943 \r\nL 96.053184 146.059579 \r\nL 92.475805 143.351529 \r\nL 89.166665 140.558903 \r\nL 86.304298 137.859241 \r\nL 83.692586 135.096512 \r\nL 81.337005 132.277055 \r\nL 79.242434 129.407563 \r\nL 77.519611 126.678199 \r\nL 76.032908 123.917015 \r\nL 74.784779 121.130198 \r\nL 73.777136 118.324096 \r\nL 73.011342 115.505182 \r\nL 72.488197 112.680023 \r\nL 72.219066 110.043419 \r\nL 72.16126 107.41255 \r\nL 72.314085 104.792806 \r\nL 72.67642 102.189533 \r\nL 73.246717 99.607998 \r\nL 74.086279 96.872041 \r\nL 75.159373 94.173096 \r\nL 76.462544 91.517044 \r\nL 77.991848 88.909449 \r\nL 79.74288 86.355485 \r\nL 81.710809 83.859873 \r\nL 84.043122 81.266923 \r\nL 86.60954 78.749482 \r\nL 89.402959 76.311042 \r\nL 92.611442 73.809593 \r\nL 96.058791 71.401992 \r\nL 99.959082 68.955497 \r\nL 104.106033 66.613408 \r\nL 108.739242 64.251009 \r\nL 113.887286 61.879693 \r\nL 119.577856 59.506909 \r\nL 125.838131 57.134644 \r\nL 133.000696 54.656514 \r\nL 141.457666 51.969913 \r\nL 152.011168 48.862575 \r\nL 167.087952 44.678223 \r\nL 229.773213 27.713711 \r\nL 237.682119 25.890248 \r\nL 243.842481 24.682495 \r\nL 249.118658 23.856379 \r\nL 253.953775 23.317026 \r\nL 258.325574 23.048811 \r\nL 262.217844 23.016534 \r\nL 266.105961 23.206505 \r\nL 269.496168 23.574237 \r\nL 272.867028 24.144083 \r\nL 276.210204 24.925464 \r\nL 279.517084 25.923074 \r\nL 282.778992 27.136335 \r\nL 285.987395 28.559251 \r\nL 289.134123 30.180699 \r\nL 292.645118 32.256775 \r\nL 296.055393 34.543224 \r\nL 299.35612 37.008043 \r\nL 302.929436 39.952889 \r\nL 306.716518 43.384889 \r\nL 310.303094 46.93036 \r\nL 314.010934 50.90397 \r\nL 317.768788 55.268968 \r\nL 321.226826 59.618169 \r\nL 324.637539 64.27358 \r\nL 327.704672 68.845073 \r\nL 330.435113 73.318378 \r\nL 332.836457 77.687537 \r\nL 334.916509 81.952013 \r\nL 336.558053 85.797936 \r\nL 337.938238 89.560736 \r\nL 339.062618 93.244851 \r\nL 339.936429 96.855014 \r\nL 340.564578 100.395969 \r\nL 340.951655 103.872281 \r\nL 341.101942 107.288224 \r\nL 341.019443 110.647714 \r\nL 340.707908 113.954277 \r\nL 340.170857 117.211037 \r\nL 339.411611 120.42072 \r\nL 338.433318 123.585665 \r\nL 337.23898 126.707841 \r\nL 335.831476 129.788862 \r\nL 334.06935 133.081672 \r\nL 332.063747 136.328891 \r\nL 329.818029 139.531315 \r\nL 327.335515 142.689346 \r\nL 324.619509 145.803 \r\nL 321.437262 149.106115 \r\nL 317.992269 152.356388 \r\nL 314.28883 155.552331 \r\nL 310.039116 158.913907 \r\nL 305.503533 162.207377 \r\nL 300.688127 165.428417 \r\nL 295.599366 168.571565 \r\nL 290.244247 171.630011 \r\nL 284.247174 174.789461 \r\nL 277.966079 177.830252 \r\nL 271.829914 180.55934 \r\nL 265.465163 183.154708 \r\nL 258.884155 185.597645 \r\nL 252.100976 187.866232 \r\nL 245.601789 189.804204 \r\nL 238.955397 191.545966 \r\nL 232.666559 192.96676 \r\nL 226.280144 194.178429 \r\nL 220.312485 195.095247 \r\nL 214.289421 195.805086 \r\nL 208.225594 196.297347 \r\nL 202.136263 196.564645 \r\nL 196.037054 196.603418 \r\nL 189.943686 196.414242 \r\nL 183.871681 196.001773 \r\nL 177.836106 195.374351 \r\nL 171.355326 194.465278 \r\nL 164.951278 193.334478 \r\nL 158.639732 192.00079 \r\nL 151.962549 190.359713 \r\nL 145.42533 188.529042 \r\nL 138.592655 186.381834 \r\nL 131.952456 184.065754 \r\nL 125.096959 181.432419 \r\nL 118.49024 178.651731 \r\nL 112.144928 175.741291 \r\nL 106.072196 172.715536 \r\nL 100.282022 169.586258 \r\nL 94.783417 166.363077 \r\nL 89.584595 163.053849 \r\nL 84.693124 159.665001 \r\nL 80.392769 156.420331 \r\nL 76.374186 153.113859 \r\nL 72.642548 149.748483 \r\nL 69.422947 146.556373 \r\nL 66.461513 143.316434 \r\nL 63.762036 140.029734 \r\nL 61.493188 136.936522 \r\nL 59.456367 133.803803 \r\nL 57.654519 130.631492 \r\nL 56.090606 127.419175 \r\nL 54.767639 124.16608 \r\nL 53.762959 121.126039 \r\nL 52.968707 118.049056 \r\nL 52.387478 114.93359 \r\nL 52.021987 111.777754 \r\nL 51.875093 108.579292 \r\nL 51.949822 105.33556 \r\nL 52.2494 102.043503 \r\nL 52.777276 98.699644 \r\nL 53.537157 95.300083 \r\nL 54.53303 91.84051 \r\nL 55.769195 88.316243 \r\nL 57.384919 84.4195 \r\nL 59.29445 80.434445 \r\nL 61.504628 76.354634 \r\nL 64.02275 72.174242 \r\nL 66.856499 67.88887 \r\nL 70.013788 63.496767 \r\nL 73.502493 59.000634 \r\nL 77.330028 54.410209 \r\nL 81.50268 49.745816 \r\nL 85.664356 45.404957 \r\nL 90.124457 41.074468 \r\nL 94.472642 37.166507 \r\nL 98.636175 33.719325 \r\nL 102.54848 30.752217 \r\nL 106.608923 27.963466 \r\nL 110.333997 25.67616 \r\nL 114.158442 23.607055 \r\nL 117.577823 22.002147 \r\nL 121.056779 20.609302 \r\nL 124.586454 19.443048 \r\nL 128.157537 18.512172 \r\nL 131.760508 17.819063 \r\nL 135.385904 17.359618 \r\nL 139.024564 17.123723 \r\nL 142.667852 17.096228 \r\nL 146.827135 17.295618 \r\nL 150.971593 17.710622 \r\nL 155.605203 18.393879 \r\nL 160.705515 19.367933 \r\nL 166.743996 20.757747 \r\nL 173.659222 22.580199 \r\nL 182.799667 25.233091 \r\nL 197.082407 29.646601 \r\nL 252.184424 47.070505 \r\nL 262.993352 50.759303 \r\nL 271.584249 53.916823 \r\nL 278.805166 56.800433 \r\nL 285.070049 59.534373 \r\nL 290.722413 62.243758 \r\nL 295.796249 64.927833 \r\nL 300.325544 67.58018 \r\nL 304.344698 70.190337 \r\nL 307.888643 72.745222 \r\nL 311.179142 75.388238 \r\nL 314.036884 77.955838 \r\nL 316.655477 80.599493 \r\nL 319.028068 83.316625 \r\nL 321.023102 85.927546 \r\nL 322.791016 88.596361 \r\nL 324.327024 91.31887 \r\nL 325.626723 94.090336 \r\nL 326.623061 96.716616 \r\nL 327.40722 99.376446 \r\nL 327.976712 102.064997 \r\nL 328.329451 104.777215 \r\nL 328.463761 107.507854 \r\nL 328.378396 110.251521 \r\nL 328.072546 113.002701 \r\nL 327.545849 115.755793 \r\nL 326.798395 118.505138 \r\nL 325.830729 121.245048 \r\nL 324.643852 123.96983 \r\nL 323.130607 126.866011 \r\nL 321.369766 129.731403 \r\nL 319.364291 132.559188 \r\nL 317.11772 135.342677 \r\nL 314.634162 138.075344 \r\nL 311.729083 140.927044 \r\nL 308.566001 143.706327 \r\nL 305.1519 146.406138 \r\nL 301.494397 149.019804 \r\nL 297.350792 151.695445 \r\nL 292.952205 154.259831 \r\nL 288.309806 156.706624 \r\nL 283.435351 159.030116 \r\nL 278.034884 161.350277 \r\nL 272.403163 163.521312 \r\nL 266.555818 165.538783 \r\nL 260.508899 167.398992 \r\nL 253.927642 169.188611 \r\nL 247.161899 170.796817 \r\nL 240.231555 172.221385 \r\nL 232.78073 173.52059 \r\nL 225.193448 174.612614 \r\nL 217.493555 175.495822 \r\nL 209.705086 176.168437 \r\nL 201.852306 176.628279 \r\nL 193.959764 176.872512 \r\nL 186.052388 176.897391 \r\nL 178.1556 176.698039 \r\nL 170.687187 176.295322 \r\nL 163.274851 175.678095 \r\nL 155.942384 174.838562 \r\nL 149.091894 173.830004 \r\nL 142.727864 172.679183 \r\nL 136.486225 171.32789 \r\nL 130.741392 169.865858 \r\nL 125.139875 168.212728 \r\nL 120.034454 166.483993 \r\nL 115.085747 164.57772 \r\nL 110.309176 162.490648 \r\nL 106.020141 160.377891 \r\nL 101.907467 158.105734 \r\nL 97.9839 155.675424 \r\nL 94.520911 153.279581 \r\nL 91.241664 150.753452 \r\nL 88.155676 148.101926 \r\nL 85.272051 145.331121 \r\nL 82.599392 142.448285 \r\nL 80.145718 139.461664 \r\nL 77.918403 136.380343 \r\nL 75.924114 133.214082 \r\nL 74.29519 130.224863 \r\nL 72.873938 127.18037 \r\nL 71.663841 124.089149 \r\nL 70.667791 120.959869 \r\nL 69.888077 117.801295 \r\nL 69.326387 114.622265 \r\nL 68.983795 111.431691 \r\nL 68.860761 108.238574 \r\nL 68.957121 105.052015 \r\nL 69.272081 101.881236 \r\nL 69.804208 98.73558 \r\nL 70.551424 95.624507 \r\nL 71.510995 92.557559 \r\nL 72.679529 89.544301 \r\nL 74.052982 86.594236 \r\nL 75.626657 83.716689 \r\nL 77.39523 80.92066 \r\nL 79.352775 78.214666 \r\nL 81.67916 75.393875 \r\nL 84.210778 72.696857 \r\nL 86.938097 70.13114 \r\nL 89.851085 67.70271 \r\nL 92.939329 65.415893 \r\nL 96.192165 63.273319 \r\nL 99.866905 61.128335 \r\nL 103.706519 59.151007 \r\nL 107.697656 57.338809 \r\nL 112.127155 55.575892 \r\nL 116.699951 53.991783 \r\nL 121.718597 52.491212 \r\nL 127.191253 51.100976 \r\nL 132.78895 49.910743 \r\nL 138.83114 48.857783 \r\nL 144.970786 48.008402 \r\nL 151.534549 47.324121 \r\nL 158.16064 46.851555 \r\nL 165.177729 46.578852 \r\nL 172.212272 46.535606 \r\nL 179.237883 46.723662 \r\nL 185.879582 47.120516 \r\nL 192.465625 47.735527 \r\nL 198.631833 48.52553 \r\nL 204.705263 49.523925 \r\nL 210.336388 50.664494 \r\nL 215.846224 52.003236 \r\nL 220.903592 53.449683 \r\nL 225.819318 55.08197 \r\nL 230.576129 56.904821 \r\nL 234.875586 58.790784 \r\nL 239.004931 60.851589 \r\nL 242.692124 62.935567 \r\nL 246.205365 65.177036 \r\nL 249.300777 67.401383 \r\nL 252.224893 69.765159 \r\nL 254.967261 72.269988 \r\nL 257.517309 74.917456 \r\nL 259.691258 77.489241 \r\nL 261.683732 80.185173 \r\nL 263.486144 83.006558 \r\nL 265.089819 85.95476 \r\nL 266.377776 88.7699 \r\nL 267.484534 91.693938 \r\nL 268.403188 94.728026 \r\nL 269.126764 97.873287 \r\nL 269.648216 101.130732 \r\nL 269.960445 104.501136 \r\nL 270.056316 107.984847 \r\nL 269.928693 111.58149 \r\nL 269.570502 115.28955 \r\nL 268.974822 119.105757 \r\nL 268.135021 123.024229 \r\nL 267.044961 127.035272 \r\nL 265.699296 131.12375 \r\nL 264.093877 135.266942 \r\nL 262.226331 139.431838 \r\nL 260.30116 143.198137 \r\nL 258.162017 146.897302 \r\nL 256.058457 150.119804 \r\nL 253.792923 153.186046 \r\nL 251.650986 155.730536 \r\nL 249.397884 158.055014 \r\nL 247.344104 159.869614 \r\nL 245.222896 161.445726 \r\nL 243.35879 162.584602 \r\nL 241.459743 163.511302 \r\nL 239.533294 164.214194 \r\nL 237.587295 164.68623 \r\nL 235.629736 164.925434 \r\nL 233.668574 164.935046 \r\nL 231.711552 164.723261 \r\nL 229.76604 164.302623 \r\nL 227.519957 163.569438 \r\nL 225.308724 162.603418 \r\nL 222.835266 161.255169 \r\nL 220.429332 159.692255 \r\nL 217.814071 157.733727 \r\nL 215.032538 155.376209 \r\nL 212.134074 152.638692 \r\nL 208.935531 149.299931 \r\nL 205.771119 145.668867 \r\nL 202.702759 141.814803 \r\nL 199.790562 137.803979 \r\nL 197.091749 133.696446 \r\nL 194.783874 129.770254 \r\nL 192.84866 126.035735 \r\nL 191.267228 122.496039 \r\nL 190.020608 119.150621 \r\nL 189.08998 115.997222 \r\nL 188.456783 113.03298 \r\nL 188.116161 110.413321 \r\nL 188.007793 107.956483 \r\nL 188.116844 105.660577 \r\nL 188.428636 103.524019 \r\nL 188.928626 101.545501 \r\nL 189.649926 99.615279 \r\nL 190.550183 97.861139 \r\nL 191.612293 96.282081 \r\nL 192.819252 94.877122 \r\nL 194.236299 93.578099 \r\nL 195.776849 92.471612 \r\nL 197.421132 91.555903 \r\nL 199.247688 90.793906 \r\nL 201.145316 90.238964 \r\nL 203.195055 89.874344 \r\nL 205.273295 89.729674 \r\nL 207.458948 89.807635 \r\nL 209.62081 90.112754 \r\nL 211.732139 90.635358 \r\nL 213.767437 91.36454 \r\nL 215.702596 92.2882 \r\nL 217.515034 93.3931 \r\nL 219.183831 94.664948 \r\nL 220.689847 96.088498 \r\nL 222.015833 97.647664 \r\nL 223.146519 99.325643 \r\nL 224.068699 101.105055 \r\nL 224.742947 102.877733 \r\nL 225.21025 104.710605 \r\nL 225.464656 106.587895 \r\nL 225.502024 108.493811 \r\nL 225.320021 110.412654 \r\nL 224.9181 112.328928 \r\nL 224.297471 114.227442 \r\nL 223.461065 116.093414 \r\nL 222.355658 118.002038 \r\nL 221.024655 119.843208 \r\nL 219.47713 121.601908 \r\nL 217.723904 123.264045 \r\nL 215.680158 124.887508 \r\nL 213.440435 126.376851 \r\nL 211.022475 127.719674 \r\nL 208.324902 128.955005 \r\nL 205.476971 130.00747 \r\nL 202.503422 130.868123 \r\nL 199.430044 131.529853 \r\nL 196.283442 131.987365 \r\nL 192.951363 132.243247 \r\nL 189.600427 132.270905 \r\nL 186.262055 132.070183 \r\nL 182.967566 131.642635 \r\nL 179.880208 131.022874 \r\nL 176.888458 130.201385 \r\nL 174.018595 129.182794 \r\nL 171.411198 128.028867 \r\nL 168.960586 126.704231 \r\nL 166.787103 125.285057 \r\nL 164.793717 123.718883 \r\nL 163.078663 122.094026 \r\nL 161.55752 120.341927 \r\nL 160.305211 118.561466 \r\nL 159.253183 116.669122 \r\nL 158.452291 114.773418 \r\nL 157.852422 112.776963 \r\nL 157.464043 110.678274 \r\nL 157.301046 108.600054 \r\nL 157.345463 106.425327 \r\nL 157.606898 104.149959 \r\nL 158.095422 101.768631 \r\nL 158.872053 99.124327 \r\nL 159.928761 96.344064 \r\nL 161.280195 93.416045 \r\nL 163.044141 90.149413 \r\nL 165.175043 86.682675 \r\nL 167.839945 82.791852 \r\nL 170.967224 78.622722 \r\nL 174.785689 73.908054 \r\nL 179.420983 68.555 \r\nL 184.761252 62.740937 \r\nL 190.570699 56.754642 \r\nL 196.141233 51.329363 \r\nL 201.21764 46.687849 \r\nL 205.566072 42.992051 \r\nL 209.381082 40.011738 \r\nL 212.956321 37.487555 \r\nL 216.238636 35.440691 \r\nL 219.182845 33.858845 \r\nL 221.752958 32.698992 \r\nL 224.358713 31.754967 \r\nL 226.992044 31.058742 \r\nL 229.201007 30.688777 \r\nL 231.417055 30.524908 \r\nL 233.634095 30.577596 \r\nL 235.845804 30.853132 \r\nL 238.045756 31.353149 \r\nL 240.227564 32.074433 \r\nL 242.385014 33.009057 \r\nL 244.512192 34.144844 \r\nL 247.017137 35.751014 \r\nL 249.462048 37.592147 \r\nL 252.228787 39.990349 \r\nL 254.894197 42.604087 \r\nL 257.806918 45.786039 \r\nL 260.904503 49.528883 \r\nL 264.116253 53.792071 \r\nL 267.365665 58.508258 \r\nL 270.31916 63.174508 \r\nL 273.209652 68.148607 \r\nL 275.763789 72.965641 \r\nL 277.993094 77.608666 \r\nL 279.909746 82.073385 \r\nL 281.525924 86.362948 \r\nL 282.853417 90.484582 \r\nL 283.903441 94.447458 \r\nL 284.686547 98.261393 \r\nL 285.212615 101.93608 \r\nL 285.490877 105.480648 \r\nL 285.529965 108.903437 \r\nL 285.337972 112.211895 \r\nL 284.92251 115.412551 \r\nL 284.29078 118.511038 \r\nL 283.449623 121.51214 \r\nL 282.405584 124.419844 \r\nL 281.164961 127.23741 \r\nL 279.733851 129.967434 \r\nL 277.975414 132.828471 \r\nL 276.007795 135.590927 \r\nL 273.838288 138.255975 \r\nL 271.474122 140.824216 \r\nL 268.718666 143.481864 \r\nL 265.754821 146.026944 \r\nL 262.591653 148.458569 \r\nL 258.99176 150.936538 \r\nL 255.184971 153.280876 \r\nL 251.182872 155.489364 \r\nL 246.711977 157.692645 \r\nL 242.046845 159.735611 \r\nL 237.202325 161.615243 \r\nL 232.193534 163.328629 \r\nL 226.708908 164.963908 \r\nL 221.074936 166.405526 \r\nL 215.310617 167.651008 \r\nL 209.435163 168.698389 \r\nL 203.467952 169.546277 \r\nL 197.071366 170.22574 \r\nL 190.616925 170.680529 \r\nL 184.127776 170.911313 \r\nL 177.626951 170.919577 \r\nL 171.137286 170.707617 \r\nL 164.681337 170.278513 \r\nL 158.2813 169.636101 \r\nL 151.958937 168.784941 \r\nL 145.7355 167.730274 \r\nL 139.631667 166.47799 \r\nL 133.667473 165.034581 \r\nL 127.862256 163.407109 \r\nL 122.234591 161.603158 \r\nL 116.802249 159.630804 \r\nL 111.58214 157.498569 \r\nL 106.590273 155.21538 \r\nL 101.841717 152.790529 \r\nL 97.593093 150.378969 \r\nL 93.585123 147.857927 \r\nL 89.828037 145.235885 \r\nL 86.331231 142.521453 \r\nL 83.103259 139.723321 \r\nL 80.317656 137.021139 \r\nL 77.782756 134.259808 \r\nL 75.503631 131.446543 \r\nL 73.484695 128.588478 \r\nL 71.831603 125.874598 \r\nL 70.413101 123.133178 \r\nL 69.231301 120.369751 \r\nL 68.287848 117.589694 \r\nL 67.58393 114.798223 \r\nL 67.120297 112.000374 \r\nL 66.904655 109.387579 \r\nL 66.898556 106.777259 \r\nL 67.101643 104.173078 \r\nL 67.513271 101.578568 \r\nL 68.184663 98.813335 \r\nL 69.092912 96.067163 \r\nL 70.236197 93.343976 \r\nL 71.612367 90.647604 \r\nL 73.218944 87.981807 \r\nL 75.053129 85.35032 \r\nL 77.256944 82.585432 \r\nL 79.711978 79.868447 \r\nL 82.413609 77.204099 \r\nL 85.548617 74.436418 \r\nL 88.949636 71.73995 \r\nL 92.609392 69.121324 \r\nL 96.519938 66.587656 \r\nL 100.924224 64.006084 \r\nL 105.588704 61.53822 \r\nL 110.501074 59.194748 \r\nL 115.647882 56.987214 \r\nL 121.014437 54.928032 \r\nL 126.584721 53.030451 \r\nL 132.341308 51.308496 \r\nL 138.265288 49.776858 \r\nL 143.995442 48.518772 \r\nL 149.838137 47.457125 \r\nL 155.773553 46.605147 \r\nL 161.780583 45.976009 \r\nL 167.479652 45.599024 \r\nL 173.202684 45.44131 \r\nL 178.929085 45.512796 \r\nL 184.281562 45.796261 \r\nL 189.599785 46.29643 \r\nL 194.864828 47.019723 \r\nL 199.713738 47.901148 \r\nL 204.483214 48.985968 \r\nL 209.156786 50.277652 \r\nL 213.717727 51.779093 \r\nL 217.837239 53.363155 \r\nL 221.831352 55.131568 \r\nL 225.686286 57.085455 \r\nL 229.388187 59.225644 \r\nL 232.657475 61.367076 \r\nL 235.773556 63.668098 \r\nL 238.725446 66.128988 \r\nL 241.502141 68.750018 \r\nL 243.884124 71.293592 \r\nL 246.10112 73.972361 \r\nL 248.14459 76.786816 \r\nL 250.005957 79.737636 \r\nL 251.676596 82.825731 \r\nL 253.147815 86.05229 \r\nL 254.30485 89.106935 \r\nL 255.28315 92.278615 \r\nL 256.07596 95.568932 \r\nL 256.676423 98.979706 \r\nL 257.077574 102.512936 \r\nL 257.27233 106.17072 \r\nL 257.253488 109.955114 \r\nL 257.013733 113.867905 \r\nL 256.545667 117.910262 \r\nL 255.841857 122.082191 \r\nL 254.894928 126.381738 \r\nL 253.697708 130.803805 \r\nL 252.243463 135.338448 \r\nL 250.526241 139.968469 \r\nL 248.541392 144.666119 \r\nL 246.286301 149.388759 \r\nL 244.025943 153.609074 \r\nL 241.550298 157.735433 \r\nL 239.174668 161.257249 \r\nL 236.967437 164.166839 \r\nL 234.64833 166.856591 \r\nL 232.57917 168.939838 \r\nL 230.443247 170.774743 \r\nL 228.619015 172.08508 \r\nL 226.761006 173.173511 \r\nL 224.875907 174.021387 \r\nL 222.970872 174.614076 \r\nL 221.053391 174.941976 \r\nL 219.131131 175.001225 \r\nL 217.211766 174.794023 \r\nL 215.302805 174.328497 \r\nL 213.411429 173.618137 \r\nL 211.544353 172.68086 \r\nL 209.707722 171.537856 \r\nL 207.551646 169.927454 \r\nL 205.455496 168.095778 \r\nL 203.094707 165.733353 \r\nL 200.518539 162.808952 \r\nL 197.786346 159.324661 \r\nL 195.237639 155.720111 \r\nL 192.625907 151.656021 \r\nL 190.022192 147.189604 \r\nL 187.698176 142.784168 \r\nL 185.475718 138.090378 \r\nL 183.570827 133.539646 \r\nL 181.973098 129.145554 \r\nL 180.671523 124.913453 \r\nL 179.654924 120.843916 \r\nL 178.912184 116.934917 \r\nL 178.432383 113.18317 \r\nL 178.204844 109.584939 \r\nL 178.219149 106.136512 \r\nL 178.465127 102.834465 \r\nL 178.932826 99.675799 \r\nL 179.612481 96.657994 \r\nL 180.494485 93.779017 \r\nL 181.569352 91.037294 \r\nL 182.827688 88.431678 \r\nL 184.260165 85.961396 \r\nL 185.857492 83.625997 \r\nL 187.763213 81.247991 \r\nL 189.83975 79.028129 \r\nL 192.075312 76.966687 \r\nL 194.458082 75.064084 \r\nL 197.175173 73.193337 \r\nL 200.034388 71.508025 \r\nL 203.020825 70.008723 \r\nL 206.11954 68.69586 \r\nL 209.547178 67.496355 \r\nL 213.068106 66.51104 \r\nL 216.66393 65.739399 \r\nL 220.316327 65.180419 \r\nL 224.007082 64.832542 \r\nL 227.718144 64.693629 \r\nL 231.678895 64.772672 \r\nL 235.621135 65.082223 \r\nL 239.523963 65.617362 \r\nL 243.366967 66.372375 \r\nL 247.130296 67.340777 \r\nL 250.79473 68.515347 \r\nL 254.341747 69.888176 \r\nL 257.753578 71.450715 \r\nL 261.01327 73.193843 \r\nL 264.104729 75.107918 \r\nL 267.012771 77.182851 \r\nL 269.5598 79.26488 \r\nL 271.92214 81.470189 \r\nL 274.089611 83.789678 \r\nL 276.05282 86.214079 \r\nL 277.803179 88.733996 \r\nL 279.332913 91.339935 \r\nL 280.635064 94.022338 \r\nL 281.639653 96.586429 \r\nL 282.436306 99.20094 \r\nL 283.021314 101.858043 \r\nL 283.391596 104.549916 \r\nL 283.544699 107.268752 \r\nL 283.478793 110.006764 \r\nL 283.192674 112.756187 \r\nL 282.68576 115.509285 \r\nL 281.958087 118.258353 \r\nL 281.010308 120.995716 \r\nL 279.843691 123.713737 \r\nL 278.460115 126.404816 \r\nL 276.739791 129.249635 \r\nL 274.777097 132.045624 \r\nL 272.576651 134.78363 \r\nL 270.143854 137.454592 \r\nL 267.484879 140.049562 \r\nL 264.606665 142.559724 \r\nL 261.303595 145.134002 \r\nL 257.770089 147.59168 \r\nL 254.017324 149.922793 \r\nL 250.057379 152.117734 \r\nL 245.903189 154.167304 \r\nL 241.568512 156.062787 \r\nL 237.067879 157.796006 \r\nL 232.416543 159.359398 \r\nL 227.630415 160.746079 \r\nL 222.415937 162.018947 \r\nL 217.088381 163.07903 \r\nL 211.668757 163.921057 \r\nL 206.178532 164.540918 \r\nL 200.639508 164.935719 \r\nL 195.073706 165.103816 \r\nL 189.503241 165.044835 \r\nL 183.9502 164.759681 \r\nL 178.436516 164.25052 \r\nL 172.983845 163.520761 \r\nL 167.613452 162.575006 \r\nL 162.34609 161.419 \r\nL 157.201901 160.059565 \r\nL 152.200307 158.50452 \r\nL 147.359921 156.762608 \r\nL 142.698461 154.843403 \r\nL 138.232672 152.757222 \r\nL 133.97826 150.515042 \r\nL 129.949832 148.128408 \r\nL 126.376872 145.760979 \r\nL 123.026275 143.286612 \r\nL 119.907328 140.71594 \r\nL 117.028336 138.059813 \r\nL 114.396599 135.32925 \r\nL 112.018399 132.5354 \r\nL 109.898992 129.689497 \r\nL 108.150855 126.984227 \r\nL 106.636547 124.252441 \r\nL 105.357922 121.503439 \r\nL 104.316033 118.746476 \r\nL 103.511143 115.990743 \r\nL 102.94273 113.245329 \r\nL 102.609494 110.51919 \r\nL 102.509374 107.821111 \r\nL 102.639564 105.159666 \r\nL 102.996532 102.543166 \r\nL 103.576045 99.979607 \r\nL 104.373199 97.476613 \r\nL 105.382456 95.041362 \r\nL 106.597683 92.680527 \r\nL 108.012199 90.40019 \r\nL 109.732588 88.06265 \r\nL 111.662313 85.828494 \r\nL 113.791662 83.702293 \r\nL 116.261553 81.565273 \r\nL 118.933038 79.556468 \r\nL 121.793569 77.676699 \r\nL 125.014491 75.825923 \r\nL 128.612856 74.02441 \r\nL 132.602872 72.28964 \r\nL 136.995901 70.634725 \r\nL 141.800773 69.066714 \r\nL 147.255917 67.523703 \r\nL 153.633028 65.956571 \r\nL 161.489429 64.261594 \r\nL 173.835298 61.857534 \r\nL 191.632954 58.365125 \r\nL 201.795361 56.136238 \r\nL 211.198691 53.845213 \r\nL 220.392028 51.372965 \r\nL 230.026292 48.548069 \r\nL 242.323998 44.69072 \r\nL 256.978812 40.121526 \r\nL 263.280696 38.386615 \r\nL 268.510336 37.177048 \r\nL 272.588122 36.442474 \r\nL 276.288428 35.981544 \r\nL 279.592359 35.771742 \r\nL 282.90024 35.786885 \r\nL 285.789106 36.011674 \r\nL 288.66399 36.455743 \r\nL 291.51569 37.136232 \r\nL 294.334425 38.065225 \r\nL 297.110072 39.248553 \r\nL 299.832431 40.685041 \r\nL 302.491514 42.366343 \r\nL 305.077826 44.277423 \r\nL 307.582605 46.397607 \r\nL 310.335379 49.044754 \r\nL 312.961483 51.891699 \r\nL 315.754454 55.281266 \r\nL 318.368274 58.81384 \r\nL 321.055331 62.844874 \r\nL 323.509398 66.930973 \r\nL 325.937881 71.434447 \r\nL 328.083464 75.903419 \r\nL 329.94946 80.306734 \r\nL 331.540745 84.624423 \r\nL 332.863153 88.844833 \r\nL 333.92304 92.962244 \r\nL 334.726972 96.974999 \r\nL 335.281522 100.884115 \r\nL 335.593138 104.692274 \r\nL 335.668064 108.403107 \r\nL 335.512293 112.020703 \r\nL 335.131561 115.549275 \r\nL 334.531334 118.992938 \r\nL 333.716833 122.355572 \r\nL 332.693039 125.640731 \r\nL 331.464726 128.8516 \r\nL 330.036479 131.990968 \r\nL 328.41272 135.061229 \r\nL 326.4234 138.334126 \r\nL 324.211915 141.529228 \r\nL 321.783555 144.648101 \r\nL 319.143518 147.691821 \r\nL 316.050571 150.905084 \r\nL 312.721739 154.031082 \r\nL 309.163532 157.06947 \r\nL 305.382511 160.019375 \r\nL 301.069081 163.095651 \r\nL 296.513404 166.065349 \r\nL 291.724156 168.925477 \r\nL 286.710278 171.672403 \r\nL 281.099527 174.485046 \r\nL 275.253416 177.156706 \r\nL 269.184379 179.680357 \r\nL 262.905499 182.048001 \r\nL 256.430592 184.250622 \r\nL 249.774298 186.278135 \r\nL 242.952174 188.119359 \r\nL 235.980789 189.76203 \r\nL 229.355067 191.104354 \r\nL 222.629995 192.250697 \r\nL 215.821808 193.189138 \r\nL 208.947705 193.907585 \r\nL 202.025849 194.394152 \r\nL 195.572328 194.628525 \r\nL 189.110032 194.645245 \r\nL 182.655454 194.437578 \r\nL 176.225526 194.000494 \r\nL 169.837471 193.330999 \r\nL 163.508649 192.428377 \r\nL 157.256373 191.294308 \r\nL 151.567772 190.045503 \r\nL 145.510416 188.47957 \r\nL 139.578352 186.699812 \r\nL 133.787141 184.715623 \r\nL 128.1516 182.537403 \r\nL 122.685749 180.176084 \r\nL 117.402785 177.642697 \r\nL 112.315092 174.947997 \r\nL 107.434275 172.102175 \r\nL 102.77121 169.114653 \r\nL 98.336104 165.993969 \r\nL 94.452812 163.00174 \r\nL 90.779107 159.907836 \r\nL 87.321802 156.71695 \r\nL 84.08741 153.433259 \r\nL 81.08217 150.060535 \r\nL 78.312072 146.602303 \r\nL 75.984298 143.360087 \r\nL 73.863198 140.051688 \r\nL 71.952839 136.680155 \r\nL 70.257084 133.249028 \r\nL 68.779547 129.762574 \r\nL 67.523539 126.226076 \r\nL 66.491997 122.646147 \r\nL 65.687382 119.031093 \r\nL 65.111564 115.39129 \r\nL 64.765674 111.739572 \r\nL 64.649943 108.091575 \r\nL 64.763507 104.466008 \r\nL 65.104219 100.884749 \r\nL 65.668442 97.372714 \r\nL 66.45088 93.957385 \r\nL 67.444439 90.667946 \r\nL 68.640164 87.533991 \r\nL 69.893575 84.843776 \r\nL 71.295846 82.324652 \r\nL 72.836655 79.992437 \r\nL 74.504905 77.858631 \r\nL 76.288999 75.929689 \r\nL 78.177136 74.20671 \r\nL 80.157619 72.685558 \r\nL 82.429332 71.23473 \r\nL 84.784963 70.000254 \r\nL 87.435292 68.875475 \r\nL 90.384662 67.883933 \r\nL 93.633996 67.035745 \r\nL 97.420148 66.285916 \r\nL 101.992796 65.616219 \r\nL 108.103503 64.962317 \r\nL 119.808119 63.989582 \r\nL 132.811726 62.826768 \r\nL 143.542903 61.641591 \r\nL 155.677059 60.069535 \r\nL 196.619111 54.549429 \r\nL 205.564522 53.689242 \r\nL 213.689859 53.130207 \r\nL 220.932376 52.847924 \r\nL 227.880373 52.799067 \r\nL 234.503908 52.981325 \r\nL 240.777849 53.383594 \r\nL 246.682592 53.987479 \r\nL 252.204377 54.769028 \r\nL 257.634122 55.761206 \r\nL 262.657909 56.895315 \r\nL 267.561273 58.222066 \r\nL 272.325479 59.740509 \r\nL 276.93199 61.447675 \r\nL 281.107213 63.22249 \r\nL 285.111986 65.154755 \r\nL 288.932186 67.237836 \r\nL 292.55435 69.464062 \r\nL 295.965763 71.824883 \r\nL 299.154533 74.311025 \r\nL 301.931989 76.74686 \r\nL 304.495731 79.27575 \r\nL 306.838158 81.889017 \r\nL 308.952419 84.577837 \r\nL 310.832427 87.333324 \r\nL 312.47286 90.146592 \r\nL 313.783744 92.81666 \r\nL 314.878832 95.522301 \r\nL 315.755572 98.25656 \r\nL 316.411959 101.012634 \r\nL 316.84653 103.783896 \r\nL 317.058344 106.563922 \r\nL 317.046966 109.346506 \r\nL 316.81245 112.125678 \r\nL 316.355315 114.895724 \r\nL 315.67653 117.651197 \r\nL 314.777489 120.38693 \r\nL 313.659986 123.098049 \r\nL 312.326196 125.779981 \r\nL 310.659998 128.616252 \r\nL 308.751943 131.409281 \r\nL 306.605951 134.154645 \r\nL 304.226308 136.848341 \r\nL 301.435684 139.660634 \r\nL 298.390419 142.406229 \r\nL 295.096793 145.081802 \r\nL 291.332531 147.844714 \r\nL 287.303468 150.522551 \r\nL 282.758127 153.262622 \r\nL 277.935575 155.902557 \r\nL 272.846237 158.440656 \r\nL 267.196422 161.007798 \r\nL 261.27374 163.458647 \r\nL 254.758553 165.911446 \r\nL 247.970165 168.232228 \r\nL 240.565033 170.524348 \r\nL 232.893605 172.66419 \r\nL 224.974573 174.645543 \r\nL 216.827561 176.459094 \r\nL 208.473573 178.091176 \r\nL 200.34599 179.458934 \r\nL 192.490445 180.567927 \r\nL 184.947583 181.422442 \r\nL 177.75323 182.026785 \r\nL 170.938414 182.386853 \r\nL 164.529268 182.511821 \r\nL 158.546862 182.415683 \r\nL 153.007069 182.118351 \r\nL 147.498252 181.597524 \r\nL 142.455834 180.899131 \r\nL 137.469757 179.975266 \r\nL 132.962349 178.918859 \r\nL 128.528659 177.654439 \r\nL 124.181943 176.17838 \r\nL 119.935546 174.491322 \r\nL 115.802613 172.59842 \r\nL 111.795814 170.509223 \r\nL 107.927082 168.237142 \r\nL 104.207391 165.798615 \r\nL 100.646609 163.212063 \r\nL 96.953508 160.244248 \r\nL 93.469417 157.148141 \r\nL 90.202273 153.947231 \r\nL 87.158477 150.662748 \r\nL 84.343072 147.313179 \r\nL 81.759936 143.914106 \r\nL 79.411984 140.478277 \r\nL 77.301351 137.015831 \r\nL 75.429564 133.534599 \r\nL 73.797686 130.040437 \r\nL 72.406442 126.537542 \r\nL 71.25632 123.028756 \r\nL 70.347653 119.515822 \r\nL 69.680691 115.999616 \r\nL 69.255647 112.480342 \r\nL 69.072741 108.957706 \r\nL 69.118004 105.725126 \r\nL 69.399949 102.194082 \r\nL 69.924925 98.657369 \r\nL 70.693353 95.11417 \r\nL 71.705702 91.563917 \r\nL 72.962466 88.006479 \r\nL 74.464122 84.442402 \r\nL 76.211079 80.87318 \r\nL 78.203594 77.301592 \r\nL 80.441675 73.732107 \r\nL 82.924944 70.171348 \r\nL 85.652471 66.628624 \r\nL 88.622569 63.1165 \r\nL 91.832545 59.651356 \r\nL 95.278425 56.253865 \r\nL 98.954642 52.949265 \r\nL 102.52051 50.02696 \r\nL 106.266306 47.23343 \r\nL 110.182967 44.596401 \r\nL 113.882749 42.35883 \r\nL 117.705385 40.2948 \r\nL 121.640324 38.423153 \r\nL 125.676026 36.759625 \r\nL 129.800181 35.315745 \r\nL 133.999971 34.098007 \r\nL 138.262377 33.107476 \r\nL 142.574489 32.339866 \r\nL 146.923798 31.786075 \r\nL 151.736871 31.408232 \r\nL 156.566021 31.252093 \r\nL 161.837079 31.306976 \r\nL 167.533913 31.596359 \r\nL 173.635133 32.132869 \r\nL 180.544015 32.978147 \r\nL 187.78852 34.090294 \r\nL 195.745524 35.533968 \r\nL 204.345238 37.317849 \r\nL 213.505423 39.448209 \r\nL 222.752709 41.834355 \r\nL 231.296734 44.263428 \r\nL 239.511129 46.830625 \r\nL 247.042811 49.421223 \r\nL 253.919141 52.025585 \r\nL 260.168902 54.633834 \r\nL 265.822177 57.234703 \r\nL 270.910274 59.815294 \r\nL 275.465596 62.361284 \r\nL 279.76727 65.016617 \r\nL 283.574519 67.6183 \r\nL 287.138289 70.321394 \r\nL 290.249863 72.948896 \r\nL 293.131402 75.667509 \r\nL 295.775053 78.477627 \r\nL 298.02089 81.183032 \r\nL 300.046248 83.968071 \r\nL 301.84475 86.832436 \r\nL 303.306111 89.562867 \r\nL 304.561341 92.360944 \r\nL 305.605416 95.226259 \r\nL 306.433343 98.158422 \r\nL 307.040157 101.157096 \r\nL 307.420912 104.222022 \r\nL 307.57068 107.353058 \r\nL 307.484536 110.550194 \r\nL 307.157552 113.813575 \r\nL 306.584782 117.143508 \r\nL 305.761248 120.540449 \r\nL 304.681938 124.004978 \r\nL 303.34179 127.537729 \r\nL 301.735697 131.13928 \r\nL 299.858519 134.809971 \r\nL 297.705107 138.54961 \r\nL 295.270364 142.357047 \r\nL 292.328033 146.529965 \r\nL 289.047902 150.771446 \r\nL 285.424951 155.069231 \r\nL 281.750554 159.092679 \r\nL 277.776008 163.121429 \r\nL 273.84164 166.812353 \r\nL 269.655774 170.433544 \r\nL 265.603528 173.644024 \r\nL 261.748266 176.425153 \r\nL 258.146613 178.774805 \r\nL 254.428936 180.938211 \r\nL 251.035609 182.671303 \r\nL 247.568105 184.195639 \r\nL 244.036688 185.484854 \r\nL 240.90318 186.402709 \r\nL 237.737582 187.11306 \r\nL 234.548371 187.609834 \r\nL 231.344158 187.891986 \r\nL 228.133475 187.963521 \r\nL 224.924587 187.833101 \r\nL 221.269496 187.453036 \r\nL 217.637698 186.849055 \r\nL 213.591669 185.934671 \r\nL 209.599022 184.808838 \r\nL 205.237242 183.35534 \r\nL 200.542194 181.563745 \r\nL 195.146779 179.255521 \r\nL 189.535679 176.612848 \r\nL 183.388754 173.471788 \r\nL 176.822382 169.859238 \r\nL 170.297659 166.014773 \r\nL 163.881699 161.973538 \r\nL 157.927402 157.959907 \r\nL 152.430924 153.983771 \r\nL 147.629198 150.24409 \r\nL 143.232556 146.540999 \r\nL 139.437431 143.065401 \r\nL 135.99916 139.620164 \r\nL 133.076806 136.393178 \r\nL 130.467515 133.191656 \r\nL 128.168819 130.015462 \r\nL 126.286842 127.049584 \r\nL 124.67567 124.107281 \r\nL 123.333084 121.189818 \r\nL 122.256724 118.298945 \r\nL 121.487166 115.614883 \r\nL 120.947085 112.958386 \r\nL 120.633995 110.332065 \r\nL 120.545168 107.738895 \r\nL 120.677604 105.182215 \r\nL 121.028 102.66571 \r\nL 121.59272 100.193397 \r\nL 122.367769 97.769608 \r\nL 123.348767 95.398964 \r\nL 124.616759 92.934364 \r\nL 126.107263 90.542016 \r\nL 127.81334 88.228397 \r\nL 129.727447 86.000192 \r\nL 131.979983 83.733954 \r\nL 134.447569 81.580149 \r\nL 137.118822 79.547094 \r\nL 139.981554 77.643033 \r\nL 143.022778 75.876032 \r\nL 146.422148 74.163131 \r\nL 149.988963 72.621392 \r\nL 153.705118 71.258959 \r\nL 157.551708 70.083206 \r\nL 161.509116 69.100596 \r\nL 165.557116 68.316538 \r\nL 169.674984 67.735262 \r\nL 174.074115 67.344903 \r\nL 178.502524 67.185476 \r\nL 182.935055 67.256864 \r\nL 187.346676 67.556999 \r\nL 191.712695 68.081813 \r\nL 196.00898 68.825216 \r\nL 200.212176 69.779117 \r\nL 204.29992 70.933487 \r\nL 208.251048 72.276467 \r\nL 212.045785 73.794502 \r\nL 215.665923 75.472531 \r\nL 219.269862 77.39372 \r\nL 222.645055 79.4537 \r\nL 225.77687 81.63115 \r\nL 228.653159 83.904114 \r\nL 231.264313 86.250345 \r\nL 233.603273 88.647627 \r\nL 235.665509 91.07408 \r\nL 237.448964 93.508432 \r\nL 238.953972 95.930248 \r\nL 240.183148 98.320113 \r\nL 241.141264 100.659783 \r\nL 241.835107 102.93227 \r\nL 242.273333 105.121908 \r\nL 242.466312 107.214359 \r\nL 242.425981 109.196605 \r\nL 242.165687 111.0569 \r\nL 241.700055 112.784704 \r\nL 241.044846 114.3706 \r\nL 240.216839 115.806197 \r\nL 239.233718 117.084026 \r\nL 238.054742 118.248672 \r\nL 236.747403 119.225153 \r\nL 235.334742 120.007265 \r\nL 233.840514 120.589337 \r\nL 232.289129 120.966061 \r\nL 230.705624 121.132322 \r\nL 229.115647 121.083016 \r\nL 227.545473 120.81285 \r\nL 226.093112 120.345009 \r\nL 224.707011 119.666227 \r\nL 223.473932 118.820377 \r\nL 222.344471 117.772478 \r\nL 221.390323 116.586963 \r\nL 220.568998 115.206795 \r\nL 219.933732 113.717305 \r\nL 219.453238 112.039162 \r\nL 219.146346 110.163448 \r\nL 219.032812 108.080119 \r\nL 219.133427 105.778072 \r\nL 219.47011 103.245391 \r\nL 220.065956 100.469945 \r\nL 220.945208 97.440567 \r\nL 222.133053 94.149277 \r\nL 223.655131 90.595237 \r\nL 225.536513 86.791603 \r\nL 227.655746 83.017731 \r\nL 229.96258 79.368281 \r\nL 232.216722 76.192758 \r\nL 234.505107 73.338044 \r\nL 236.770233 70.879114 \r\nL 238.733428 69.055671 \r\nL 240.552267 67.637062 \r\nL 242.430004 66.46459 \r\nL 244.111405 65.684245 \r\nL 245.57316 65.226626 \r\nL 247.046353 64.985921 \r\nL 248.523165 64.979585 \r\nL 249.995261 65.220664 \r\nL 251.453965 65.716781 \r\nL 252.89046 66.46947 \r\nL 254.296003 67.473925 \r\nL 255.662138 68.719253 \r\nL 257.195559 70.454608 \r\nL 258.653003 72.462399 \r\nL 260.212783 75.041377 \r\nL 261.647775 77.865554 \r\nL 263.101018 81.261727 \r\nL 264.374287 84.815032 \r\nL 265.570592 88.86659 \r\nL 266.533211 92.956172 \r\nL 267.261803 97.028005 \r\nL 267.758719 101.04186 \r\nL 268.028207 104.970027 \r\nL 268.075788 108.794372 \r\nL 267.90779 112.503825 \r\nL 267.531005 116.092354 \r\nL 266.952458 119.557417 \r\nL 266.17924 122.898814 \r\nL 265.2184 126.117853 \r\nL 264.076885 129.216754 \r\nL 262.761496 132.198238 \r\nL 261.121658 135.345758 \r\nL 259.288055 138.358689 \r\nL 257.26904 141.240808 \r\nL 255.072737 143.995617 \r\nL 252.707062 146.626288 \r\nL 249.94223 149.357828 \r\nL 246.994831 151.948146 \r\nL 243.874474 154.399926 \r\nL 240.309855 156.902279 \r\nL 236.565149 159.246997 \r\nL 232.652023 161.435938 \r\nL 228.58202 163.470563 \r\nL 224.036629 165.49042 \r\nL 219.336779 167.333725 \r\nL 214.496598 169.001333 \r\nL 209.170943 170.593876 \r\nL 203.717572 171.986284 \r\nL 198.153656 173.179303 \r\nL 192.496296 174.173759 \r\nL 186.377965 175.016757 \r\nL 180.19323 175.636411 \r\nL 173.962484 176.034543 \r\nL 167.705932 176.213403 \r\nL 161.443551 176.175725 \r\nL 155.195041 175.924774 \r\nL 148.979773 175.464392 \r\nL 142.433711 174.75074 \r\nL 135.968848 173.811789 \r\nL 129.606781 172.654463 \r\nL 123.368393 171.286516 \r\nL 117.273767 169.71652 \r\nL 111.34211 167.953845 \r\nL 105.591677 166.008617 \r\nL 100.039699 163.891667 \r\nL 94.70232 161.614451 \r\nL 89.594538 159.188965 \r\nL 84.730161 156.627635 \r\nL 80.121768 153.943195 \r\nL 75.780687 151.148558 \r\nL 71.716986 148.256674 \r\nL 68.153618 145.457566 \r\nL 64.850113 142.59419 \r\nL 61.811867 139.676732 \r\nL 59.043356 136.714969 \r\nL 56.54819 133.718165 \r\nL 54.329153 130.694988 \r\nL 52.501397 127.843923 \r\nL 50.919226 124.982708 \r\nL 49.583262 122.116736 \r\nL 48.493691 119.250773 \r\nL 47.650317 116.388941 \r\nL 47.052622 113.534722 \r\nL 46.715737 110.880175 \r\nL 46.591366 108.236582 \r\nL 46.678568 105.605339 \r\nL 46.976307 102.987427 \r\nL 47.483485 100.38345 \r\nL 48.258017 97.609233 \r\nL 49.270277 94.85126 \r\nL 50.518883 92.109155 \r\nL 52.002498 89.382288 \r\nL 53.84262 86.489503 \r\nL 55.947233 83.612007 \r\nL 58.31499 80.748648 \r\nL 61.117671 77.720622 \r\nL 64.214636 74.706302 \r\nL 67.81309 71.528905 \r\nL 71.738512 68.366092 \r\nL 75.989358 65.218724 \r\nL 80.827533 61.915508 \r\nL 86.024072 58.635819 \r\nL 91.576083 55.385738 \r\nL 97.800271 52.00586 \r\nL 104.408667 48.681038 \r\nL 111.39401 45.427673 \r\nL 118.370731 42.421437 \r\nL 125.669075 39.518237 \r\nL 132.868644 36.884129 \r\nL 140.332732 34.385895 \r\nL 148.046012 32.047918 \r\nL 155.543457 30.010409 \r\nL 162.772812 28.264959 \r\nL 170.153261 26.706241 \r\nL 177.666744 25.353479 \r\nL 184.813872 24.288908 \r\nL 192.042895 23.436287 \r\nL 199.334969 22.809002 \r\nL 206.180226 22.437377 \r\nL 213.046109 22.280758 \r\nL 219.915063 22.345953 \r\nL 226.769059 22.638132 \r\nL 233.589728 23.160726 \r\nL 240.358499 23.915387 \r\nL 246.581037 24.823844 \r\nL 252.727919 25.93083 \r\nL 258.784456 27.233632 \r\nL 264.736208 28.728354 \r\nL 270.569072 30.410019 \r\nL 276.269353 32.272666 \r\nL 281.823837 34.309472 \r\nL 287.219849 36.512869 \r\nL 292.445303 38.874669 \r\nL 297.488743 41.386189 \r\nL 302.339378 44.038366 \r\nL 306.987101 46.821872 \r\nL 311.422508 49.72722 \r\nL 315.636905 52.744859 \r\nL 319.62231 55.865263 \r\nL 323.371444 59.079005 \r\nL 326.877727 62.376829 \r\nL 330.135259 65.749703 \r\nL 333.138802 69.188872 \r\nL 335.883758 72.685895 \r\nL 338.366142 76.232684 \r\nL 340.421577 79.544135 \r\nL 342.248136 82.885643 \r\nL 343.843958 86.251739 \r\nL 345.207547 89.637259 \r\nL 346.337749 93.037348 \r\nL 347.233733 96.447466 \r\nL 347.894968 99.863389 \r\nL 348.321204 103.281206 \r\nL 348.512444 106.697318 \r\nL 348.468932 110.108439 \r\nL 348.191123 113.511587 \r\nL 347.679666 116.904081 \r\nL 346.935386 120.28354 \r\nL 345.959257 123.647869 \r\nL 344.752389 126.995261 \r\nL 343.316006 130.324185 \r\nL 341.651426 133.633382 \r\nL 339.760044 136.921852 \r\nL 337.456796 140.460115 \r\nL 334.890983 143.972562 \r\nL 332.064541 147.458892 \r\nL 328.979419 150.919106 \r\nL 325.369905 154.616615 \r\nL 321.465005 158.284848 \r\nL 317.267026 161.924771 \r\nL 312.446486 165.79461 \r\nL 307.29466 169.634872 \r\nL 301.81402 173.447036 \r\nL 295.608237 177.48355 \r\nL 289.03383 181.48936 \r\nL 282.0937 185.462228 \r\nL 274.791132 189.395917 \r\nL 267.130281 193.277594 \r\nL 259.116953 197.083971 \r\nL 251.291988 200.549432 \r\nL 243.725491 203.648759 \r\nL 237.047551 206.155759 \r\nL 230.780269 208.287678 \r\nL 224.971728 210.046474 \r\nL 219.068926 211.59144 \r\nL 213.687058 212.761657 \r\nL 208.857837 213.598636 \r\nL 203.995688 214.221527 \r\nL 199.110919 214.61181 \r\nL 194.214564 214.756054 \r\nL 189.929771 214.67485 \r\nL 185.04275 214.345032 \r\nL 180.17723 213.769382 \r\nL 175.344147 212.96175 \r\nL 170.553657 211.94139 \r\nL 165.226647 210.567745 \r\nL 159.976517 208.988802 \r\nL 154.244809 207.035801 \r\nL 148.07583 204.696527 \r\nL 141.520726 201.973296 \r\nL 134.636626 198.879679 \r\nL 126.985614 195.186432 \r\nL 119.179173 191.15544 \r\nL 111.745323 187.067769 \r\nL 104.688075 182.945688 \r\nL 98.009955 178.800857 \r\nL 91.712758 174.638461 \r\nL 85.798005 170.459913 \r\nL 80.601595 166.527297 \r\nL 75.743962 162.578592 \r\nL 71.226562 158.612204 \r\nL 67.318689 154.892926 \r\nL 63.709974 151.155842 \r\nL 60.401879 147.400184 \r\nL 57.600576 143.895781 \r\nL 55.061007 140.37496 \r\nL 52.784387 136.837997 \r\nL 50.771896 133.285496 \r\nL 49.149618 129.993282 \r\nL 47.754174 126.689631 \r\nL 46.586304 123.375807 \r\nL 45.646652 120.053335 \r\nL 44.935749 116.724009 \r\nL 44.453989 113.389894 \r\nL 44.201617 110.05333 \r\nL 44.178706 106.716933 \r\nL 44.385136 103.383601 \r\nL 44.820582 100.056515 \r\nL 45.484485 96.739137 \r\nL 46.376041 93.435214 \r\nL 47.494176 90.148773 \r\nL 48.837528 86.884121 \r\nL 50.40443 83.645842 \r\nL 52.192889 80.438783 \r\nL 54.20057 77.268056 \r\nL 56.619806 73.880316 \r\nL 59.289222 70.548618 \r\nL 62.20435 67.280368 \r\nL 62.438627 67.03181 \r\nL 62.438627 67.03181 \r\n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\r\n   </g>\r\n   <g id=\"patch_3\">\r\n    <path d=\"M 28.942188 224.64 \r\nL 28.942188 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_4\">\r\n    <path d=\"M 363.742188 224.64 \r\nL 363.742188 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_5\">\r\n    <path d=\"M 28.942187 224.64 \r\nL 363.742188 224.64 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_6\">\r\n    <path d=\"M 28.942187 7.2 \r\nL 363.742188 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n  </g>\r\n </g>\r\n <defs>\r\n  <clipPath id=\"p1800afcc0b\">\r\n   <rect height=\"217.44\" width=\"334.8\" x=\"28.942188\" y=\"7.2\"/>\r\n  </clipPath>\r\n </defs>\r\n</svg>\r\n",
      "image/png": "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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\r\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\r\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\r\n<!-- Created with matplotlib (https://matplotlib.org/) -->\r\n<svg height=\"248.518125pt\" version=\"1.1\" viewBox=\"0 0 380.482812 248.518125\" width=\"380.482812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\r\n <metadata>\r\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\r\n   <cc:Work>\r\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\r\n    <dc:date>2021-07-23T15:34:27.357077</dc:date>\r\n    <dc:format>image/svg+xml</dc:format>\r\n    <dc:creator>\r\n     <cc:Agent>\r\n      <dc:title>Matplotlib v3.3.2, https://matplotlib.org/</dc:title>\r\n     </cc:Agent>\r\n    </dc:creator>\r\n   </cc:Work>\r\n  </rdf:RDF>\r\n </metadata>\r\n <defs>\r\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\r\n </defs>\r\n <g id=\"figure_1\">\r\n  <g id=\"patch_1\">\r\n   <path d=\"M -0 248.518125 \r\nL 380.482812 248.518125 \r\nL 380.482812 0 \r\nL -0 0 \r\nz\r\n\" style=\"fill:none;\"/>\r\n  </g>\r\n  <g id=\"axes_1\">\r\n   <g id=\"patch_2\">\r\n    <path d=\"M 38.482813 224.64 \r\nL 373.282813 224.64 \r\nL 373.282813 7.2 \r\nL 38.482813 7.2 \r\nz\r\n\" style=\"fill:#ffffff;\"/>\r\n   </g>\r\n   <g id=\"matplotlib.axis_1\">\r\n    <g id=\"xtick_1\">\r\n     <g id=\"line2d_1\">\r\n      <defs>\r\n       <path d=\"M 0 0 \r\nL 0 3.5 \r\n\" id=\"m3b8e97b72c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n      </defs>\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"90.388275\" xlink:href=\"#m3b8e97b72c\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_1\">\r\n      <!-- −2 -->\r\n      <g transform=\"translate(83.017182 239.238438)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 10.59375 35.5 \r\nL 73.1875 35.5 \r\nL 73.1875 27.203125 \r\nL 10.59375 27.203125 \r\nz\r\n\" id=\"DejaVuSans-8722\"/>\r\n        <path d=\"M 19.1875 8.296875 \r\nL 53.609375 8.296875 \r\nL 53.609375 0 \r\nL 7.328125 0 \r\nL 7.328125 8.296875 \r\nQ 12.9375 14.109375 22.625 23.890625 \r\nQ 32.328125 33.6875 34.8125 36.53125 \r\nQ 39.546875 41.84375 41.421875 45.53125 \r\nQ 43.3125 49.21875 43.3125 52.78125 \r\nQ 43.3125 58.59375 39.234375 62.25 \r\nQ 35.15625 65.921875 28.609375 65.921875 \r\nQ 23.96875 65.921875 18.8125 64.3125 \r\nQ 13.671875 62.703125 7.8125 59.421875 \r\nL 7.8125 69.390625 \r\nQ 13.765625 71.78125 18.9375 73 \r\nQ 24.125 74.21875 28.421875 74.21875 \r\nQ 39.75 74.21875 46.484375 68.546875 \r\nQ 53.21875 62.890625 53.21875 53.421875 \r\nQ 53.21875 48.921875 51.53125 44.890625 \r\nQ 49.859375 40.875 45.40625 35.40625 \r\nQ 44.1875 33.984375 37.640625 27.21875 \r\nQ 31.109375 20.453125 19.1875 8.296875 \r\nz\r\n\" id=\"DejaVuSans-50\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_2\">\r\n     <g id=\"line2d_2\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"155.337566\" xlink:href=\"#m3b8e97b72c\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_2\">\r\n      <!-- −1 -->\r\n      <g transform=\"translate(147.966472 239.238438)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 12.40625 8.296875 \r\nL 28.515625 8.296875 \r\nL 28.515625 63.921875 \r\nL 10.984375 60.40625 \r\nL 10.984375 69.390625 \r\nL 28.421875 72.90625 \r\nL 38.28125 72.90625 \r\nL 38.28125 8.296875 \r\nL 54.390625 8.296875 \r\nL 54.390625 0 \r\nL 12.40625 0 \r\nz\r\n\" id=\"DejaVuSans-49\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-49\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_3\">\r\n     <g id=\"line2d_3\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"220.286857\" xlink:href=\"#m3b8e97b72c\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_3\">\r\n      <!-- 0 -->\r\n      <g transform=\"translate(217.105607 239.238438)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 31.78125 66.40625 \r\nQ 24.171875 66.40625 20.328125 58.90625 \r\nQ 16.5 51.421875 16.5 36.375 \r\nQ 16.5 21.390625 20.328125 13.890625 \r\nQ 24.171875 6.390625 31.78125 6.390625 \r\nQ 39.453125 6.390625 43.28125 13.890625 \r\nQ 47.125 21.390625 47.125 36.375 \r\nQ 47.125 51.421875 43.28125 58.90625 \r\nQ 39.453125 66.40625 31.78125 66.40625 \r\nz\r\nM 31.78125 74.21875 \r\nQ 44.046875 74.21875 50.515625 64.515625 \r\nQ 56.984375 54.828125 56.984375 36.375 \r\nQ 56.984375 17.96875 50.515625 8.265625 \r\nQ 44.046875 -1.421875 31.78125 -1.421875 \r\nQ 19.53125 -1.421875 13.0625 8.265625 \r\nQ 6.59375 17.96875 6.59375 36.375 \r\nQ 6.59375 54.828125 13.0625 64.515625 \r\nQ 19.53125 74.21875 31.78125 74.21875 \r\nz\r\n\" id=\"DejaVuSans-48\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_4\">\r\n     <g id=\"line2d_4\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"285.236147\" xlink:href=\"#m3b8e97b72c\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_4\">\r\n      <!-- 1 -->\r\n      <g transform=\"translate(282.054897 239.238438)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-49\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_5\">\r\n     <g id=\"line2d_5\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"350.185438\" xlink:href=\"#m3b8e97b72c\" y=\"224.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_5\">\r\n      <!-- 2 -->\r\n      <g transform=\"translate(347.004188 239.238438)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-50\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n   </g>\r\n   <g id=\"matplotlib.axis_2\">\r\n    <g id=\"ytick_1\">\r\n     <g id=\"line2d_6\">\r\n      <defs>\r\n       <path d=\"M 0 0 \r\nL -3.5 0 \r\n\" id=\"m118f6c7749\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n      </defs>\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m118f6c7749\" y=\"214.839815\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_6\">\r\n      <!-- −3.0 -->\r\n      <g transform=\"translate(7.2 218.639034)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 40.578125 39.3125 \r\nQ 47.65625 37.796875 51.625 33 \r\nQ 55.609375 28.21875 55.609375 21.1875 \r\nQ 55.609375 10.40625 48.1875 4.484375 \r\nQ 40.765625 -1.421875 27.09375 -1.421875 \r\nQ 22.515625 -1.421875 17.65625 -0.515625 \r\nQ 12.796875 0.390625 7.625 2.203125 \r\nL 7.625 11.71875 \r\nQ 11.71875 9.328125 16.59375 8.109375 \r\nQ 21.484375 6.890625 26.8125 6.890625 \r\nQ 36.078125 6.890625 40.9375 10.546875 \r\nQ 45.796875 14.203125 45.796875 21.1875 \r\nQ 45.796875 27.640625 41.28125 31.265625 \r\nQ 36.765625 34.90625 28.71875 34.90625 \r\nL 20.21875 34.90625 \r\nL 20.21875 43.015625 \r\nL 29.109375 43.015625 \r\nQ 36.375 43.015625 40.234375 45.921875 \r\nQ 44.09375 48.828125 44.09375 54.296875 \r\nQ 44.09375 59.90625 40.109375 62.90625 \r\nQ 36.140625 65.921875 28.71875 65.921875 \r\nQ 24.65625 65.921875 20.015625 65.03125 \r\nQ 15.375 64.15625 9.8125 62.3125 \r\nL 9.8125 71.09375 \r\nQ 15.4375 72.65625 20.34375 73.4375 \r\nQ 25.25 74.21875 29.59375 74.21875 \r\nQ 40.828125 74.21875 47.359375 69.109375 \r\nQ 53.90625 64.015625 53.90625 55.328125 \r\nQ 53.90625 49.265625 50.4375 45.09375 \r\nQ 46.96875 40.921875 40.578125 39.3125 \r\nz\r\n\" id=\"DejaVuSans-51\"/>\r\n        <path d=\"M 10.6875 12.40625 \r\nL 21 12.40625 \r\nL 21 0 \r\nL 10.6875 0 \r\nz\r\n\" id=\"DejaVuSans-46\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-51\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_2\">\r\n     <g id=\"line2d_7\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m118f6c7749\" y=\"171.948375\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_7\">\r\n      <!-- −2.5 -->\r\n      <g transform=\"translate(7.2 175.747594)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 10.796875 72.90625 \r\nL 49.515625 72.90625 \r\nL 49.515625 64.59375 \r\nL 19.828125 64.59375 \r\nL 19.828125 46.734375 \r\nQ 21.96875 47.46875 24.109375 47.828125 \r\nQ 26.265625 48.1875 28.421875 48.1875 \r\nQ 40.625 48.1875 47.75 41.5 \r\nQ 54.890625 34.8125 54.890625 23.390625 \r\nQ 54.890625 11.625 47.5625 5.09375 \r\nQ 40.234375 -1.421875 26.90625 -1.421875 \r\nQ 22.3125 -1.421875 17.546875 -0.640625 \r\nQ 12.796875 0.140625 7.71875 1.703125 \r\nL 7.71875 11.625 \r\nQ 12.109375 9.234375 16.796875 8.0625 \r\nQ 21.484375 6.890625 26.703125 6.890625 \r\nQ 35.15625 6.890625 40.078125 11.328125 \r\nQ 45.015625 15.765625 45.015625 23.390625 \r\nQ 45.015625 31 40.078125 35.4375 \r\nQ 35.15625 39.890625 26.703125 39.890625 \r\nQ 22.75 39.890625 18.8125 39.015625 \r\nQ 14.890625 38.140625 10.796875 36.28125 \r\nz\r\n\" id=\"DejaVuSans-53\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_3\">\r\n     <g id=\"line2d_8\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m118f6c7749\" y=\"129.056935\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_8\">\r\n      <!-- −2.0 -->\r\n      <g transform=\"translate(7.2 132.856154)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-50\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_4\">\r\n     <g id=\"line2d_9\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m118f6c7749\" y=\"86.165495\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_9\">\r\n      <!-- −1.5 -->\r\n      <g transform=\"translate(7.2 89.964714)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-49\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-53\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_5\">\r\n     <g id=\"line2d_10\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m118f6c7749\" y=\"43.274055\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_10\">\r\n      <!-- −1.0 -->\r\n      <g transform=\"translate(7.2 47.073274)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-49\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n   </g>\r\n   <g id=\"line2d_11\">\r\n    <path clip-path=\"url(#pc96fd64069)\" d=\"M 358.064631 139.464774 \r\nL 355.870851 142.186464 \r\nL 353.493745 144.786226 \r\nL 350.9948 147.194337 \r\nL 348.376373 149.417601 \r\nL 345.57486 151.507495 \r\nL 342.694749 153.388494 \r\nL 339.662225 155.114505 \r\nL 336.337359 156.744166 \r\nL 332.935831 158.16028 \r\nL 329.290714 159.42698 \r\nL 325.649393 160.45934 \r\nL 321.817442 161.317446 \r\nL 317.810095 161.985296 \r\nL 313.644127 162.449712 \r\nL 309.337539 162.700271 \r\nL 304.909254 162.729216 \r\nL 300.378849 162.531339 \r\nL 295.766301 162.103864 \r\nL 291.091768 161.446331 \r\nL 286.375385 160.560476 \r\nL 281.637084 159.45012 \r\nL 276.896432 158.121051 \r\nL 271.878216 156.477854 \r\nL 266.900902 154.607723 \r\nL 261.985557 152.524036 \r\nL 257.152119 150.242059 \r\nL 252.14438 147.628622 \r\nL 247.269912 144.833968 \r\nL 242.289837 141.713662 \r\nL 237.498698 138.447419 \r\nL 232.678371 134.885631 \r\nL 228.103476 131.233709 \r\nL 223.579269 127.343805 \r\nL 219.160142 123.255373 \r\nL 214.901935 119.020691 \r\nL 210.701337 114.528763 \r\nL 206.66962 109.885648 \r\nL 202.921615 105.23116 \r\nL 199.475896 100.603997 \r\nL 196.443243 96.168245 \r\nL 194.086362 92.345136 \r\nL 192.757174 89.812422 \r\nL 192.412378 88.773213 \r\nL 192.515922 88.580705 \r\nL 192.774282 88.681234 \r\nL 193.418541 89.22044 \r\nL 194.961822 90.856259 \r\nL 198.876029 95.413445 \r\nL 207.889004 105.893026 \r\nL 214.435534 113.138819 \r\nL 220.965521 120.027991 \r\nL 227.4543 126.554432 \r\nL 234.081557 132.911051 \r\nL 240.942304 139.179494 \r\nL 247.698804 145.052801 \r\nL 254.492208 150.660799 \r\nL 260.98352 155.73512 \r\nL 267.355288 160.431816 \r\nL 273.277947 164.524414 \r\nL 278.695628 168.012842 \r\nL 283.839226 171.069843 \r\nL 288.677215 173.684709 \r\nL 292.920838 175.736222 \r\nL 296.824758 177.388602 \r\nL 300.379569 178.661654 \r\nL 303.581976 179.583627 \r\nL 306.43485 180.190605 \r\nL 309.169971 180.544671 \r\nL 311.557465 180.633736 \r\nL 313.81522 180.488376 \r\nL 315.743122 180.148914 \r\nL 317.542226 179.612501 \r\nL 319.204215 178.884126 \r\nL 320.722741 177.973501 \r\nL 322.093827 176.894956 \r\nL 323.316066 175.666899 \r\nL 324.490047 174.169181 \r\nL 325.490085 172.548222 \r\nL 326.391467 170.677698 \r\nL 327.158672 168.577837 \r\nL 327.761192 166.286153 \r\nL 328.174547 163.856794 \r\nL 328.380446 161.35861 \r\nL 328.36615 158.872491 \r\nL 328.14234 156.613346 \r\nL 327.735161 154.623625 \r\nL 327.165747 152.935511 \r\nL 326.496437 151.643659 \r\nL 325.760937 150.70725 \r\nL 324.985725 150.080678 \r\nL 324.192177 149.716783 \r\nL 323.329253 149.564863 \r\nL 322.397513 149.625666 \r\nL 321.316749 149.928521 \r\nL 320.068111 150.523937 \r\nL 318.629444 151.463276 \r\nL 316.872855 152.886353 \r\nL 314.62667 155.018732 \r\nL 311.652734 158.18222 \r\nL 306.879272 163.639805 \r\nL 297.52871 174.351931 \r\nL 292.376393 179.877883 \r\nL 287.80754 184.460679 \r\nL 283.349553 188.62154 \r\nL 279.095861 192.297665 \r\nL 274.863747 195.668437 \r\nL 270.697362 198.70872 \r\nL 266.639528 201.40698 \r\nL 262.424502 203.938317 \r\nL 258.376968 206.111863 \r\nL 254.209341 208.089708 \r\nL 250.264419 209.721283 \r\nL 246.235031 211.14861 \r\nL 242.131677 212.355853 \r\nL 238.315227 213.257255 \r\nL 234.456146 213.953059 \r\nL 230.564786 214.43619 \r\nL 226.651981 214.701663 \r\nL 222.728879 214.746728 \r\nL 218.806771 214.570943 \r\nL 214.896911 214.176177 \r\nL 211.010337 213.566536 \r\nL 207.157704 212.748227 \r\nL 203.005431 211.627121 \r\nL 198.917866 210.280173 \r\nL 194.906223 208.722173 \r\nL 190.980568 206.969507 \r\nL 186.835056 204.871547 \r\nL 182.810487 202.589296 \r\nL 178.620718 199.953183 \r\nL 174.588348 197.162093 \r\nL 170.449222 194.034443 \r\nL 166.24602 190.582708 \r\nL 162.022873 186.832436 \r\nL 157.599035 182.600652 \r\nL 153.068457 177.950965 \r\nL 148.338637 172.775456 \r\nL 142.900098 166.482796 \r\nL 131.36844 152.997838 \r\nL 128.869234 150.49678 \r\nL 127.001217 148.921132 \r\nL 125.47483 147.915837 \r\nL 124.234431 147.359723 \r\nL 123.235411 147.138218 \r\nL 122.37809 147.156268 \r\nL 121.587645 147.390687 \r\nL 120.864004 147.841365 \r\nL 120.207908 148.507118 \r\nL 119.578766 149.461891 \r\nL 118.997465 150.753324 \r\nL 118.489675 152.427784 \r\nL 118.087728 154.52742 \r\nL 117.833201 157.085742 \r\nL 117.777139 159.95347 \r\nL 117.947985 163.083038 \r\nL 118.348572 166.223391 \r\nL 118.968599 169.282211 \r\nL 119.792352 172.178369 \r\nL 120.717809 174.657171 \r\nL 121.762751 176.873485 \r\nL 123.004251 178.975721 \r\nL 124.324432 180.763026 \r\nL 125.681097 182.240774 \r\nL 127.189121 183.551973 \r\nL 128.675399 184.570631 \r\nL 130.281519 185.421773 \r\nL 132.003184 186.09465 \r\nL 133.834353 186.582147 \r\nL 135.767542 186.880865 \r\nL 138.024771 186.991624 \r\nL 140.384781 186.874143 \r\nL 142.834631 186.536745 \r\nL 145.618038 185.924803 \r\nL 148.741946 184.98901 \r\nL 151.938344 183.79643 \r\nL 155.462712 182.242592 \r\nL 159.307932 180.297876 \r\nL 163.461371 177.940755 \r\nL 167.905008 175.158168 \r\nL 172.615608 171.945556 \r\nL 177.564885 168.306705 \r\nL 182.988491 164.035117 \r\nL 188.567243 159.352868 \r\nL 194.253574 154.294672 \r\nL 200.239795 148.667571 \r\nL 206.201756 142.757559 \r\nL 212.292709 136.399226 \r\nL 218.194513 129.916407 \r\nL 224.017213 123.189283 \r\nL 229.627849 116.368252 \r\nL 235.029686 109.452152 \r\nL 240.244565 102.408137 \r\nL 245.061248 95.531152 \r\nL 249.421245 88.92418 \r\nL 251.197618 85.949889 \r\nL 251.175154 85.958637 \r\nL 250.81777 86.376666 \r\nL 242.144166 97.240784 \r\nL 238.050773 101.825867 \r\nL 233.933222 106.112519 \r\nL 229.572331 110.329131 \r\nL 225.087091 114.349055 \r\nL 220.592317 118.081146 \r\nL 215.967798 121.634218 \r\nL 211.270673 124.965414 \r\nL 206.556031 128.044862 \r\nL 201.609963 131.006835 \r\nL 196.726155 133.675088 \r\nL 191.666663 136.182632 \r\nL 186.743888 138.381403 \r\nL 181.698665 140.396463 \r\nL 176.549892 142.211051 \r\nL 171.317742 143.81053 \r\nL 166.336241 145.108344 \r\nL 161.318199 146.196361 \r\nL 156.282655 147.068282 \r\nL 151.249055 147.719888 \r\nL 146.237077 148.149088 \r\nL 141.266467 148.355952 \r\nL 136.356856 148.342724 \r\nL 131.52759 148.113824 \r\nL 126.797539 147.675827 \r\nL 122.184926 147.037434 \r\nL 117.432132 146.151658 \r\nL 112.851125 145.067261 \r\nL 108.459969 143.802122 \r\nL 104.035525 142.288053 \r\nL 99.859098 140.620659 \r\nL 95.735331 138.726464 \r\nL 91.916748 136.730628 \r\nL 88.23697 134.562707 \r\nL 84.598639 132.153946 \r\nL 81.254931 129.676 \r\nL 78.03416 127.013968 \r\nL 74.945636 124.165976 \r\nL 72.049674 121.184679 \r\nL 69.965414 118.809046 \r\nL 74.823243 124.049072 \r\nL 78.067671 127.131055 \r\nL 81.651937 130.226265 \r\nL 85.456443 133.217915 \r\nL 89.637423 136.214967 \r\nL 94.120598 139.144089 \r\nL 98.829841 141.951293 \r\nL 103.919306 144.718318 \r\nL 109.116961 147.295561 \r\nL 114.607809 149.778774 \r\nL 120.627683 152.251431 \r\nL 126.895424 154.579437 \r\nL 133.370867 156.749566 \r\nL 140.30458 158.83771 \r\nL 147.668572 160.819831 \r\nL 155.423478 162.679492 \r\nL 164.118289 164.532673 \r\nL 174.272853 166.460911 \r\nL 191.198053 169.399807 \r\nL 203.202881 171.593626 \r\nL 210.963354 173.237177 \r\nL 217.158802 174.768325 \r\nL 222.64777 176.34845 \r\nL 227.711834 178.041946 \r\nL 232.371305 179.841214 \r\nL 236.64638 181.728852 \r\nL 240.769575 183.792773 \r\nL 244.735099 186.027295 \r\nL 248.534902 188.416695 \r\nL 252.343417 191.067956 \r\nL 256.285419 194.084021 \r\nL 260.723878 197.777119 \r\nL 268.307738 204.165965 \r\nL 269.822685 205.123328 \r\nL 270.876011 205.552213 \r\nL 271.645769 205.648353 \r\nL 272.256422 205.515158 \r\nL 272.792443 205.164275 \r\nL 273.258254 204.591448 \r\nL 273.700212 203.695757 \r\nL 274.137388 202.272131 \r\nL 274.539094 200.162728 \r\nL 274.921828 196.824946 \r\nL 275.258622 191.728449 \r\nL 275.58221 182.99918 \r\nL 276.988067 137.595862 \r\nL 277.739807 123.988803 \r\nL 278.638812 111.688074 \r\nL 279.719627 99.973349 \r\nL 281.070357 87.844645 \r\nL 283.387999 67.563658 \r\nL 283.555903 63.818792 \r\nL 283.455761 61.415461 \r\nL 283.184842 59.875271 \r\nL 282.798091 58.888831 \r\nL 282.349688 58.307884 \r\nL 281.817608 57.978428 \r\nL 281.214044 57.865731 \r\nL 280.454831 57.959727 \r\nL 279.479505 58.319455 \r\nL 278.209348 59.038403 \r\nL 276.500357 60.281763 \r\nL 274.281615 62.190034 \r\nL 271.569521 64.824376 \r\nL 268.631396 67.984149 \r\nL 265.812538 71.338994 \r\nL 263.389858 74.558608 \r\nL 261.292741 77.710057 \r\nL 259.483899 80.833988 \r\nL 257.964196 83.898231 \r\nL 256.634625 87.087338 \r\nL 255.499425 90.4077 \r\nL 254.557107 93.863238 \r\nL 253.776522 97.592395 \r\nL 253.165758 101.623541 \r\nL 252.730517 105.984394 \r\nL 252.468449 110.876271 \r\nL 252.401031 116.365476 \r\nL 252.548394 122.51926 \r\nL 252.944624 129.625386 \r\nL 253.628759 137.791152 \r\nL 254.638343 147.100626 \r\nL 255.969269 157.303742 \r\nL 257.627691 168.272557 \r\nL 259.449371 178.843119 \r\nL 261.295552 188.273124 \r\nL 262.998548 195.866709 \r\nL 264.498454 201.575608 \r\nL 265.643276 205.131739 \r\nL 266.400314 206.871755 \r\nL 266.794895 207.361667 \r\nL 266.957911 207.311007 \r\nL 267.041477 206.981752 \r\nL 267.012093 206.047515 \r\nL 266.69681 204.118145 \r\nL 265.980489 201.23253 \r\nL 264.909432 197.833676 \r\nL 263.523413 194.147124 \r\nL 261.861484 190.346907 \r\nL 259.957132 186.56078 \r\nL 257.953527 183.069684 \r\nL 255.773233 179.727053 \r\nL 253.56292 176.739775 \r\nL 251.212984 173.937948 \r\nL 248.727802 171.333389 \r\nL 246.267295 169.066947 \r\nL 243.689492 166.97977 \r\nL 240.993889 165.068189 \r\nL 237.999347 163.221987 \r\nL 234.868367 161.555154 \r\nL 231.401908 159.970042 \r\nL 227.571086 158.475938 \r\nL 223.345145 157.073253 \r\nL 218.465122 155.691641 \r\nL 212.385147 154.211456 \r\nL 203.419288 152.28227 \r\nL 187.46597 148.859942 \r\nL 179.435978 146.885154 \r\nL 172.37612 144.915731 \r\nL 165.800201 142.843106 \r\nL 159.767798 140.71168 \r\nL 154.017445 138.453438 \r\nL 148.275471 135.958642 \r\nL 142.868468 133.373228 \r\nL 137.5174 130.572529 \r\nL 132.24564 127.561203 \r\nL 127.075941 124.347776 \r\nL 122.030098 120.94445 \r\nL 117.12863 117.366852 \r\nL 112.390507 113.633712 \r\nL 107.832919 109.7665 \r\nL 103.234789 105.56533 \r\nL 98.870152 101.271617 \r\nL 94.751722 96.917442 \r\nL 90.693494 92.305393 \r\nL 86.747169 87.47368 \r\nL 83.129404 82.69839 \r\nL 79.694722 77.80554 \r\nL 76.492136 72.864305 \r\nL 73.568854 67.956171 \r\nL 70.969464 63.174243 \r\nL 68.658861 58.456327 \r\nL 66.846591 54.266591 \r\nL 65.513796 50.661653 \r\nL 64.642103 47.688242 \r\nL 64.231556 45.53032 \r\nL 64.176407 44.122763 \r\nL 64.339824 43.321018 \r\nL 64.640311 42.875879 \r\nL 65.021937 42.693969 \r\nL 65.51368 42.705911 \r\nL 66.210041 42.956132 \r\nL 67.22296 43.578293 \r\nL 68.648721 44.732605 \r\nL 70.77218 46.768097 \r\nL 73.934253 50.13852 \r\nL 79.938668 56.930106 \r\nL 90.328418 68.649813 \r\nL 97.019397 75.853646 \r\nL 103.380243 82.381651 \r\nL 109.575078 88.429659 \r\nL 115.920232 94.314467 \r\nL 122.337972 99.963503 \r\nL 129.014293 105.540252 \r\nL 135.900146 111.002536 \r\nL 143.214866 116.524175 \r\nL 151.462088 122.465214 \r\nL 161.682081 129.532277 \r\nL 185.913625 146.159967 \r\nL 192.832001 151.256981 \r\nL 198.803716 155.935151 \r\nL 204.119807 160.385546 \r\nL 209.046297 164.803838 \r\nL 213.598245 169.179486 \r\nL 218.00763 173.720636 \r\nL 222.266657 178.415672 \r\nL 226.564927 183.479215 \r\nL 231.047686 189.110693 \r\nL 235.967034 195.660194 \r\nL 244.937116 207.708278 \r\nL 246.821344 209.795461 \r\nL 248.07653 210.892057 \r\nL 249.024291 211.472073 \r\nL 249.809063 211.725475 \r\nL 250.453778 211.733698 \r\nL 251.062382 211.536922 \r\nL 251.638437 211.133491 \r\nL 252.262111 210.422269 \r\nL 252.927219 209.314132 \r\nL 253.700474 207.545912 \r\nL 254.577857 204.93187 \r\nL 255.698607 200.797925 \r\nL 257.220776 194.23395 \r\nL 261.32532 175.060102 \r\nL 264.443642 161.197627 \r\nL 267.271264 149.611572 \r\nL 270.064957 139.071117 \r\nL 272.969719 128.967116 \r\nL 276.060321 119.031182 \r\nL 279.413494 109.017446 \r\nL 283.191249 98.447755 \r\nL 288.173872 85.211687 \r\nL 296.699465 62.641118 \r\nL 299.713224 53.969494 \r\nL 301.932547 46.934568 \r\nL 303.608947 40.892567 \r\nL 304.785968 35.824924 \r\nL 305.520666 31.690051 \r\nL 305.869029 28.525503 \r\nL 305.921777 26.104279 \r\nL 305.74967 24.396071 \r\nL 305.432014 23.250226 \r\nL 305.011506 22.492315 \r\nL 304.496192 22.014752 \r\nL 303.905191 21.775409 \r\nL 303.210099 21.737109 \r\nL 302.301818 21.929129 \r\nL 301.132879 22.424784 \r\nL 299.576042 23.343604 \r\nL 297.365598 24.926339 \r\nL 293.692114 27.86588 \r\nL 284.630853 35.18103 \r\nL 279.978343 38.61325 \r\nL 275.713782 41.492491 \r\nL 271.514404 44.063721 \r\nL 267.464409 46.291337 \r\nL 263.450164 48.255194 \r\nL 259.327918 50.021096 \r\nL 255.321687 51.496547 \r\nL 251.276192 52.748476 \r\nL 247.222832 53.765576 \r\nL 243.193703 54.543369 \r\nL 239.220855 55.084232 \r\nL 235.153242 55.406647 \r\nL 231.215923 55.496693 \r\nL 227.273341 55.368958 \r\nL 223.226703 55.012869 \r\nL 219.176114 54.432302 \r\nL 214.981614 53.605601 \r\nL 210.250397 52.435806 \r\nL 203.564248 50.75489 \r\nL 202.357946 50.694847 \r\nL 201.766817 50.864204 \r\nL 201.473521 51.169466 \r\nL 201.376936 51.600986 \r\nL 201.475949 52.253995 \r\nL 201.863019 53.240691 \r\nL 202.696837 54.729163 \r\nL 204.164966 56.876808 \r\nL 206.482926 59.848499 \r\nL 209.690421 63.57616 \r\nL 213.662001 67.842386 \r\nL 218.377366 72.578797 \r\nL 223.804077 77.715984 \r\nL 230.074598 83.346173 \r\nL 237.570427 89.765493 \r\nL 246.563032 97.160377 \r\nL 258.460384 106.637214 \r\nL 281.563632 124.686121 \r\nL 310.86632 147.39417 \r\nL 318.869785 153.297503 \r\nL 324.236515 156.996265 \r\nL 328.197314 159.474915 \r\nL 331.236452 161.128872 \r\nL 333.591979 162.162074 \r\nL 335.33989 162.689548 \r\nL 336.576683 162.845243 \r\nL 337.47367 162.745058 \r\nL 338.082629 162.460568 \r\nL 338.457943 162.058528 \r\nL 338.677622 161.481852 \r\nL 338.702031 160.792935 \r\nL 338.493795 159.87744 \r\nL 338.005915 158.825864 \r\nL 337.273204 157.76591 \r\nL 336.249215 156.681896 \r\nL 335.009738 155.705028 \r\nL 333.582735 154.879224 \r\nL 332.102017 154.274785 \r\nL 330.492832 153.852317 \r\nL 328.766573 153.627136 \r\nL 326.931545 153.609982 \r\nL 324.993339 153.807755 \r\nL 322.805821 154.262239 \r\nL 320.504937 154.96853 \r\nL 317.924704 155.996834 \r\nL 315.036963 157.393318 \r\nL 311.808011 159.200346 \r\nL 307.804928 161.710622 \r\nL 302.683052 165.212844 \r\nL 294.561063 171.08167 \r\nL 283.034075 179.374046 \r\nL 276.213248 184.010639 \r\nL 269.84727 188.067805 \r\nL 264.094388 191.477085 \r\nL 258.413538 194.585657 \r\nL 252.8535 197.368693 \r\nL 247.461125 199.8157 \r\nL 242.280081 201.928621 \r\nL 236.966189 203.85007 \r\nL 231.923273 205.441207 \r\nL 226.786997 206.827269 \r\nL 221.569645 207.990979 \r\nL 216.693342 208.8543 \r\nL 211.770964 209.504079 \r\nL 206.814727 209.93118 \r\nL 201.837446 210.128301 \r\nL 196.852393 210.090144 \r\nL 191.873138 209.813569 \r\nL 186.913367 209.297715 \r\nL 181.986695 208.544073 \r\nL 177.106468 207.556528 \r\nL 172.285568 206.341326 \r\nL 167.536225 204.907008 \r\nL 162.869842 203.264267 \r\nL 158.296848 201.425772 \r\nL 153.458948 199.229917 \r\nL 148.75186 196.841531 \r\nL 144.184149 194.282494 \r\nL 139.428733 191.362223 \r\nL 134.528878 188.077195 \r\nL 129.835777 184.666818 \r\nL 125.060223 180.932314 \r\nL 119.971676 176.664454 \r\nL 114.66539 171.908355 \r\nL 109.239449 166.744867 \r\nL 103.143857 160.629112 \r\nL 95.740764 152.867417 \r\nL 83.640812 139.811143 \r\nL 79.279615 134.864165 \r\nL 77.275791 132.279489 \r\nL 76.100229 130.421483 \r\nL 75.413059 128.951556 \r\nL 75.032519 127.628257 \r\nL 74.914137 126.423997 \r\nL 75.027164 125.236387 \r\nL 75.371041 124.055686 \r\nL 75.942158 122.875391 \r\nL 76.799118 121.607475 \r\nL 77.981305 120.250647 \r\nL 79.624231 118.722355 \r\nL 81.694065 117.115382 \r\nL 84.216449 115.443445 \r\nL 87.21206 113.725274 \r\nL 90.697186 111.983423 \r\nL 94.684309 110.242655 \r\nL 99.18253 108.528028 \r\nL 104.197738 106.862783 \r\nL 109.732456 105.266071 \r\nL 115.785302 103.750571 \r\nL 122.829021 102.222837 \r\nL 131.154141 100.656445 \r\nL 142.089745 98.842985 \r\nL 169.954907 94.323587 \r\nL 179.066251 92.557209 \r\nL 186.937001 90.810009 \r\nL 194.29061 88.949094 \r\nL 201.080347 87.005493 \r\nL 207.705353 84.880771 \r\nL 214.450778 82.477654 \r\nL 221.602143 79.684629 \r\nL 235.875588 74.012715 \r\nL 238.32458 73.342566 \r\nL 239.980579 73.101233 \r\nL 241.234525 73.136376 \r\nL 242.162366 73.385433 \r\nL 242.830582 73.783898 \r\nL 243.359108 74.355656 \r\nL 243.749044 75.105122 \r\nL 244.013166 76.104164 \r\nL 244.122803 77.39431 \r\nL 244.037175 79.11672 \r\nL 243.686393 81.364015 \r\nL 243.028635 84.100063 \r\nL 241.968568 87.518183 \r\nL 240.47836 91.538338 \r\nL 238.586928 95.997414 \r\nL 236.286421 100.857325 \r\nL 233.569506 106.072613 \r\nL 230.564061 111.365001 \r\nL 227.315825 116.650739 \r\nL 223.707206 122.094859 \r\nL 219.920931 127.400582 \r\nL 216.006878 132.507901 \r\nL 212.014244 137.368233 \r\nL 207.772877 142.183149 \r\nL 203.524588 146.676875 \r\nL 199.076483 151.054805 \r\nL 194.692663 155.061851 \r\nL 190.159799 158.900003 \r\nL 185.758314 162.341484 \r\nL 181.257435 165.57808 \r\nL 176.947695 168.414168 \r\nL 172.584475 171.02532 \r\nL 168.186841 173.391598 \r\nL 164.051047 175.370761 \r\nL 159.921104 177.103543 \r\nL 155.81611 178.576668 \r\nL 152.024957 179.706956 \r\nL 148.289914 180.592819 \r\nL 144.628376 181.228029 \r\nL 141.309633 181.589847 \r\nL 138.083668 181.730774 \r\nL 134.964431 181.651842 \r\nL 131.96538 181.356711 \r\nL 129.099163 180.851998 \r\nL 126.377258 180.147556 \r\nL 123.809617 179.256635 \r\nL 121.404323 178.195892 \r\nL 119.002332 176.886487 \r\nL 116.799906 175.431647 \r\nL 114.663003 173.747154 \r\nL 112.635122 171.85209 \r\nL 110.757116 169.782861 \r\nL 109.065295 167.594053 \r\nL 107.520814 165.243602 \r\nL 106.14508 162.74878 \r\nL 105.053025 160.322946 \r\nL 104.34642 158.252902 \r\nL 104.115106 156.97137 \r\nL 104.216562 156.58227 \r\nL 104.402902 156.584985 \r\nL 104.753846 156.874389 \r\nL 105.481812 157.81616 \r\nL 107.104382 160.360744 \r\nL 111.436922 167.212566 \r\nL 113.967789 170.76538 \r\nL 116.356979 173.759336 \r\nL 118.810784 176.484846 \r\nL 121.249012 178.868145 \r\nL 123.763481 181.016852 \r\nL 126.313598 182.906153 \r\nL 128.857029 184.528571 \r\nL 131.566044 185.99811 \r\nL 134.434336 187.293611 \r\nL 137.452845 188.398654 \r\nL 140.610144 189.301952 \r\nL 143.892989 189.99733 \r\nL 147.286913 190.483346 \r\nL 150.776811 190.762674 \r\nL 154.625017 190.839328 \r\nL 158.548171 190.694208 \r\nL 162.814364 190.307881 \r\nL 167.413741 189.653125 \r\nL 172.040646 188.771518 \r\nL 176.963087 187.614104 \r\nL 182.444624 186.08769 \r\nL 188.161493 184.259472 \r\nL 194.352776 182.041638 \r\nL 201.223612 179.333642 \r\nL 208.922827 176.051786 \r\nL 218.97807 171.505806 \r\nL 234.145473 164.645638 \r\nL 239.823799 162.332443 \r\nL 244.37786 160.711947 \r\nL 248.128012 159.610466 \r\nL 251.335185 158.895108 \r\nL 254.213511 158.48267 \r\nL 256.791385 158.343802 \r\nL 259.094845 158.445282 \r\nL 261.147608 158.751539 \r\nL 263.098065 159.266896 \r\nL 264.946772 159.994644 \r\nL 266.693793 160.936599 \r\nL 268.338598 162.092981 \r\nL 269.879982 163.46228 \r\nL 271.315974 165.041098 \r\nL 272.643766 166.823959 \r\nL 273.936607 168.941767 \r\nL 275.096363 171.270172 \r\nL 276.174867 173.95638 \r\nL 277.084993 176.83662 \r\nL 277.81481 179.879416 \r\nL 278.350649 183.045841 \r\nL 278.677225 186.288262 \r\nL 278.777895 189.548931 \r\nL 278.650604 192.572553 \r\nL 278.322419 195.305784 \r\nL 277.823528 197.710379 \r\nL 277.186758 199.764639 \r\nL 276.44672 201.463943 \r\nL 275.638631 202.820017 \r\nL 274.707261 203.951671 \r\nL 273.756099 204.761682 \r\nL 272.709612 205.344023 \r\nL 271.691042 205.661088 \r\nL 270.60533 205.773976 \r\nL 269.458778 205.678382 \r\nL 268.12201 205.326692 \r\nL 266.729002 204.720082 \r\nL 265.144179 203.767755 \r\nL 263.517515 202.531496 \r\nL 261.710302 200.88088 \r\nL 259.731087 198.767535 \r\nL 257.593672 196.153417 \r\nL 255.316755 193.012675 \r\nL 252.923329 189.332698 \r\nL 250.439947 185.114488 \r\nL 247.757512 180.102193 \r\nL 245.059083 174.572178 \r\nL 242.380339 168.574866 \r\nL 239.642453 161.879875 \r\nL 237.014846 154.852581 \r\nL 234.533947 147.585492 \r\nL 232.234709 140.177713 \r\nL 230.150736 132.732782 \r\nL 228.314656 125.356216 \r\nL 226.80656 118.393131 \r\nL 225.623239 111.890986 \r\nL 224.787271 106.088044 \r\nL 224.263903 100.949521 \r\nL 224.020711 96.429785 \r\nL 224.027215 92.476691 \r\nL 224.254469 89.034978 \r\nL 224.674729 86.048897 \r\nL 225.261215 83.464203 \r\nL 225.987992 81.229614 \r\nL 226.878342 79.201025 \r\nL 227.931097 77.361514 \r\nL 229.144278 75.692807 \r\nL 230.514935 74.175627 \r\nL 232.119131 72.723894 \r\nL 234.062764 71.272878 \r\nL 236.384842 69.82639 \r\nL 239.224428 68.323872 \r\nL 242.971966 66.602073 \r\nL 248.585912 64.291567 \r\nL 264.509514 58.094651 \r\nL 273.248338 54.84165 \r\nL 277.915236 53.333085 \r\nL 281.425311 52.422277 \r\nL 284.315267 51.898596 \r\nL 286.743743 51.682223 \r\nL 288.84676 51.71625 \r\nL 290.654622 51.958163 \r\nL 292.275346 52.386709 \r\nL 293.796645 53.017065 \r\nL 295.218056 53.855887 \r\nL 296.539425 54.908187 \r\nL 297.760862 56.177407 \r\nL 298.882723 57.665521 \r\nL 299.95416 59.464303 \r\nL 300.960623 61.607574 \r\nL 301.887486 64.129038 \r\nL 302.720261 67.061882 \r\nL 303.444867 70.438461 \r\nL 304.068121 74.445053 \r\nL 304.545638 78.984044 \r\nL 304.874585 84.267986 \r\nL 305.027874 90.368494 \r\nL 304.976441 97.571218 \r\nL 304.690876 105.766807 \r\nL 304.135384 115.272342 \r\nL 303.272851 126.198328 \r\nL 302.089088 138.343032 \r\nL 300.684126 150.49447 \r\nL 299.235193 161.194046 \r\nL 297.812101 170.126701 \r\nL 296.486249 177.124242 \r\nL 295.213126 182.704693 \r\nL 293.973749 187.146757 \r\nL 292.810828 190.517787 \r\nL 291.687569 193.133827 \r\nL 290.539593 195.252008 \r\nL 289.38082 196.912915 \r\nL 288.229616 198.171645 \r\nL 287.107709 199.091799 \r\nL 285.900083 199.80864 \r\nL 284.6038 200.325858 \r\nL 283.217405 200.652298 \r\nL 281.57141 200.807593 \r\nL 279.635032 200.753196 \r\nL 277.378379 200.464717 \r\nL 274.359448 199.837173 \r\nL 270.023915 198.67619 \r\nL 247.090205 192.168925 \r\nL 238.725206 190.197642 \r\nL 228.066891 187.934702 \r\nL 202.269451 182.564748 \r\nL 193.483591 180.452763 \r\nL 185.591299 178.323561 \r\nL 178.314623 176.122026 \r\nL 171.70705 173.894058 \r\nL 165.437331 171.554681 \r\nL 159.160835 168.971191 \r\nL 153.267485 166.306054 \r\nL 147.407563 163.407397 \r\nL 141.962015 160.474507 \r\nL 136.580033 157.332634 \r\nL 131.278175 153.983795 \r\nL 126.072725 150.432476 \r\nL 120.979488 146.685569 \r\nL 116.013598 142.752269 \r\nL 111.189339 138.643933 \r\nL 106.519985 134.373907 \r\nL 102.017665 129.95733 \r\nL 97.693249 125.410908 \r\nL 93.556265 120.752679 \r\nL 89.359207 115.682221 \r\nL 85.392712 110.530546 \r\nL 81.663015 105.322609 \r\nL 78.174544 100.083749 \r\nL 74.735347 94.511994 \r\nL 71.572736 88.964191 \r\nL 68.686058 83.469867 \r\nL 65.927712 77.742364 \r\nL 63.471537 72.139233 \r\nL 61.20001 66.393513 \r\nL 59.249833 60.853958 \r\nL 57.611356 55.551409 \r\nL 56.212 50.256622 \r\nL 55.134059 45.284853 \r\nL 54.365006 40.662024 \r\nL 53.90937 36.614151 \r\nL 53.711466 32.91828 \r\nL 53.753235 29.754498 \r\nL 54.010624 26.92944 \r\nL 54.445763 24.579778 \r\nL 55.021236 22.655955 \r\nL 55.703635 21.108846 \r\nL 56.521754 19.812009 \r\nL 57.405943 18.828512 \r\nL 58.405192 18.064465 \r\nL 59.435187 17.551294 \r\nL 60.562927 17.226491 \r\nL 61.886347 17.086077 \r\nL 63.322623 17.160826 \r\nL 64.986942 17.476659 \r\nL 66.90594 18.077779 \r\nL 69.108752 19.008535 \r\nL 71.772918 20.394003 \r\nL 74.811574 22.229993 \r\nL 78.609189 24.793203 \r\nL 83.491543 28.369188 \r\nL 91.163798 34.30047 \r\nL 105.504249 45.4063 \r\nL 112.92936 50.849966 \r\nL 119.414077 55.337512 \r\nL 125.623934 59.367024 \r\nL 131.464009 62.898006 \r\nL 137.173523 66.095462 \r\nL 142.70573 68.945582 \r\nL 148.353715 71.59778 \r\nL 153.754946 73.886828 \r\nL 159.21757 75.953222 \r\nL 164.374161 77.672573 \r\nL 169.544466 79.169706 \r\nL 174.70755 80.437245 \r\nL 179.841997 81.471758 \r\nL 184.926309 82.273924 \r\nL 189.939314 82.848597 \r\nL 195.184925 83.221025 \r\nL 200.302822 83.360741 \r\nL 205.576777 83.27733 \r\nL 210.952415 82.961425 \r\nL 216.369615 82.418715 \r\nL 222.285886 81.59145 \r\nL 228.994818 80.410724 \r\nL 245.238255 77.417304 \r\nL 248.490298 77.125327 \r\nL 251.022246 77.105958 \r\nL 253.22043 77.306502 \r\nL 255.126597 77.705942 \r\nL 256.777123 78.276806 \r\nL 258.309092 79.049653 \r\nL 259.629814 79.956026 \r\nL 260.856091 81.050383 \r\nL 262.074493 82.444874 \r\nL 263.189823 84.068111 \r\nL 264.272907 86.065193 \r\nL 265.241758 88.331754 \r\nL 266.149751 91.047653 \r\nL 266.927292 94.070661 \r\nL 267.607721 97.615877 \r\nL 268.159318 101.737189 \r\nL 268.529574 106.226087 \r\nL 268.708692 111.068317 \r\nL 268.685078 116.2458 \r\nL 268.445607 121.736407 \r\nL 267.975941 127.513668 \r\nL 267.260877 133.546454 \r\nL 266.34609 139.446196 \r\nL 265.185193 145.506755 \r\nL 263.765281 151.688578 \r\nL 262.181367 157.577684 \r\nL 260.47006 163.123575 \r\nL 258.532923 168.654869 \r\nL 256.516481 173.767556 \r\nL 254.295619 178.794252 \r\nL 252.048934 183.349739 \r\nL 249.624683 187.761473 \r\nL 247.230688 191.673809 \r\nL 244.689408 195.400076 \r\nL 242.234043 198.623742 \r\nL 239.662902 201.635675 \r\nL 237.229976 204.166234 \r\nL 234.711804 206.476503 \r\nL 232.115159 208.544327 \r\nL 229.717725 210.179903 \r\nL 227.270084 211.585791 \r\nL 224.779997 212.747462 \r\nL 222.537937 213.564468 \r\nL 220.275817 214.170427 \r\nL 218.00073 214.559214 \r\nL 215.720115 214.726653 \r\nL 213.44162 214.670751 \r\nL 211.172953 214.391834 \r\nL 208.921709 213.892563 \r\nL 206.695215 213.177827 \r\nL 204.500385 212.254515 \r\nL 202.076986 210.977226 \r\nL 199.709928 209.461107 \r\nL 197.406377 207.721919 \r\nL 194.928786 205.548185 \r\nL 192.544127 203.143166 \r\nL 190.25798 200.530359 \r\nL 187.862128 197.443736 \r\nL 185.594899 194.163081 \r\nL 183.27153 190.395889 \r\nL 181.106602 186.465572 \r\nL 178.940747 182.060772 \r\nL 176.960756 177.539868 \r\nL 175.03383 172.581166 \r\nL 173.315841 167.567824 \r\nL 171.700937 162.176805 \r\nL 170.227283 156.448343 \r\nL 169.000249 150.785466 \r\nL 167.954056 144.884225 \r\nL 167.159289 139.142704 \r\nL 166.575835 133.277954 \r\nL 166.241269 127.670619 \r\nL 166.13936 122.352877 \r\nL 166.25489 117.351991 \r\nL 166.573995 112.690703 \r\nL 167.084459 108.387582 \r\nL 167.775964 104.457315 \r\nL 168.587856 101.097746 \r\nL 169.488235 98.254444 \r\nL 170.517954 95.723456 \r\nL 171.599715 93.635373 \r\nL 172.794357 91.822177 \r\nL 174.012431 90.375923 \r\nL 175.332099 89.164119 \r\nL 176.65096 88.24505 \r\nL 178.06275 87.519998 \r\nL 179.570859 86.983568 \r\nL 181.307108 86.609476 \r\nL 183.164807 86.437449 \r\nL 185.296422 86.465229 \r\nL 186.343161 86.549264 \r\nL 186.343161 86.549264 \r\n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\r\n   </g>\r\n   <g id=\"patch_3\">\r\n    <path d=\"M 38.482813 224.64 \r\nL 38.482813 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_4\">\r\n    <path d=\"M 373.282813 224.64 \r\nL 373.282813 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_5\">\r\n    <path d=\"M 38.482812 224.64 \r\nL 373.282812 224.64 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n   <g id=\"patch_6\">\r\n    <path d=\"M 38.482812 7.2 \r\nL 373.282812 7.2 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n   </g>\r\n  </g>\r\n </g>\r\n <defs>\r\n  <clipPath id=\"pc96fd64069\">\r\n   <rect height=\"217.44\" width=\"334.8\" x=\"38.482813\" y=\"7.2\"/>\r\n  </clipPath>\r\n </defs>\r\n</svg>\r\n",
      "image/png": "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"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {
    "tags": []
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.8.5 64-bit ('Kundurthy': conda)"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "3.8.5"
  },
  "interpreter": {
   "hash": "52775d9d86ef035311efe6e6f9a70742f4d9baa0273221e2c740096a652af093"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}