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 <div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Installing the dependencies within the notebook to make it easier to run on colab</span>
@@ -13175,7 +13175,7 @@ div#notebook {
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 <div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fastai.basics</span><span class="w"> </span><span class="kn">import</span> <span class="n">torch</span><span class="p">,</span> <span class="n">plt</span>
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 <div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Function with quadratic expression ax^2 + bx + c</span>
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 <div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Add both multiplicative and additive noise to input x</span>
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 <div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">ipywidgets</span><span class="w"> </span><span class="kn">import</span> <span class="n">interact</span>
@@ -13310,8 +13310,13 @@ div#notebook {
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@@ -13328,7 +13333,7 @@ div#notebook {
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 <div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span><span class="w"> </span><span class="nf">mean_absolute_error</span><span class="p">(</span><span class="n">preds</span><span class="p">,</span> <span class="n">acts</span><span class="p">):</span> <span class="k">return</span> <span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">preds</span><span class="o">-</span><span class="n">acts</span><span class="p">))</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
@@ -13373,7 +13378,7 @@ Prediction: 4.0, Actual: 4.2, Absolute Difference: 0.200
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 <div class="highlight hl-ipython3"><pre><span></span><span class="nd">@interact</span><span class="p">(</span><span class="n">a</span><span class="o">=</span><span class="mf">1.5</span><span class="p">,</span> <span class="n">b</span><span class="o">=</span><span class="mf">1.5</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="mf">1.5</span><span class="p">)</span>
@@ -13392,8 +13397,13 @@ Prediction: 4.0, Actual: 4.2, Absolute Difference: 0.200
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@@ -13419,7 +13429,7 @@ Prediction: 4.0, Actual: 4.2, Absolute Difference: 0.200
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 <div class="highlight hl-ipython3"><pre><span></span><span class="c1">#########################################</span>
@@ -13553,7 +13563,7 @@ If the slope is negative we want to move forward (or downhill).</p>
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 <div class="highlight hl-ipython3"><pre><span></span><span class="nd">@interact</span><span class="p">(</span><span class="n">a</span><span class="o">=</span><span class="mf">1.5</span><span class="p">,</span> <span class="n">b</span><span class="o">=</span><span class="mf">1.5</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="mf">1.5</span><span class="p">)</span>
@@ -13583,8 +13593,13 @@ If the slope is negative we want to move forward (or downhill).</p>
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@@ -13592,7 +13607,7 @@ If the slope is negative we want to move forward (or downhill).</p>
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 <div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">fastai.metrics</span><span class="w"> </span><span class="kn">import</span> <span class="n">mae</span>
@@ -13694,6 +13709,6 @@ Best abc parameters: tensor([3.1053, 1.6716, 1.0000])
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the future. (Deprecated NumPy 2.0)\n  def add_noise(x, mult, add): return x * (1+noise(x,mult)) + noise(x,add)\n"}, {"data": {"image\/png": 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LkAYAhG\/7dlewZM0aty+6f\/+wW5SaIT158mQ1b95clSpVUp06dfSIfRsCAOBAhgyRZs2S2rSRHnww7NakZlnQKVOmaNCgQXrmmWd07rnnKi8vT6tXr47lWwAAUo0dljFmjKvHPXGim49G7BeOnXnmmRo4cKBuuOGGQ\/5vWTgGABG0cKHUtq20bZs0bZrUoYOiIi2RC8c2b96s999\/XytXrlSjRo103HHHqUePHvr6669j9RYAgFTy3XfS5Ze7gzPuvz9SAV1aMQvp9evXB98IJk2apNdee02fffaZKlSooL59+xb763NycoJvEUU37F9NaNL8lbri4Zk6e+S04N6el3Q8HQAkHVvB3bu3qyjWs6d0551htyi1h7tzc3NVvXp1Pf7447r++uuDa59\/\/rlOPvlkbdy4MVhIdsCGMNwdsCAePGFecHi7Pba\/EfsKk767Lu\/o3i1Tp+wfgOi66y7pgQfcNitbMHaQjEhFCR3uzszMVL169Yp9jfAtPavHawG9a3dAG7u353bdXgeApGZlPi2gMzOl55+PZECHsgXLFoyNHj06mJfOz8\/XsGHDdMEFF6hy5cqxfJuUNn7W0hKHte26FdQHgKT14YfSdde5Up8TJkgnnhh2i6KzBeuuu+7SunXr1KxZs+B5hw4dNN7OAUWprcjN39OD\/j67bifeAEDSLhS77DJbaSyNGCF17hx2i7xH7W7P2CKxectziw1qm4luWb+6\/nXTOSG0DADKYOdO6aKLpOnTXWWxv\/890gdnGGp3J6F+bRuUuDDMrtuZsQCQdGz1tgW0jbQ+9VTkA7q0CGnP2KHttoq7XHpa0HM2dm\/P7bq9DgBJxUL5oYekmjWlSZNYKHYIGO72kC0Qs1XctkjM5qDrVs8IetAW0Gy\/ApBUZs+W2re3DzZXUcweo9S5R0gDAOJj+XLprLMkO8PBanPffHPYLfIKc9IAgHDYCm5byW0BfeON7vhJHDJ60gCA2LKhbVvB\/e9\/u3rcr74qHXFE2K3yDj1pAEDi5eS4gLZCJXb0JAF92OhJAwBi57nn3MEZVau6RWONG4fdIm\/RkwYAJI4dlHHNNVbUwYU1Ae1XWVAAQEQtXSplZ0vbtrk90RdfHHaLUgI9aQBA2eTlSV26SGvWuFXcgweH3aKUwZw0AKBsNbktoKdMcbW5X3pJKs8gbWkwJw0AiB8LmNtucwF92mnu0AwCOqYIaQDA4fnjH6WxY6VjjnE96GrVwm5RymG4GwBw6J5\/XrriCqlCBWnGDOnss8NuUdJhuBsAEHtz5kh9+rjHf\/sbAR1HTB4AAErvyy+lrl2l\/Hxp1CipW7ewW5TS6EkDAEpn3Tq3\/7loq9Xtt4fdopTHnDQA4OC2bpU6dpRmzpQuvdTNSbOSu0yYkwYAxOZUq759XUCfeaYr+UlAJwQhDQA4sCFDpH\/9y51qZVutKlUKu0WRQUgDAEr2hz+4\/dA1a7qiJbVqhd2iSGFOGgBQPNteZcPcFStK06dLbdqE3aKUwpw0AODwTJ3qjp0sV86V+ySgQ8HMPwBgf3Pnuv3PdnjGk0+6AzQQCnrSAIC9liyRLrlE2rxZGjFCuvbasFsUaYQ0AMBZtcodN7l2rTsT+u67w25R5LFwLCIKCgo1eeEqjZ+1VCty85WVWVH92jZQ12Z1lJ6eFnbzAPhQTax9e+mjj6RevaRnn5XS6ceFnXuEdEQCevCEeZqyaHXw2P6WLZYtnDs3OVaje7ckqIEos6HtCy+UZs1yPenJk6Ujjwy7VSmP1d0IWA\/aAnrX7oA2dm\/P7bq9DiCitm93R05aQLdt64qWENDeIKQjwIa4rQddHLs+fvayhLcJgAd27ZL695defVU6\/XSqiXmIkI4Am4MuaUDFrq9cvyXBLQIQOhtmvfFGtwe6QQMX1DVqhN0qfA8hHQG2SKykGWe7Xrd6RoJbBCD0gLZ63I8\/LtWuLb3+ulSnTtitQjEI6QiwVdwlLQyz6\/3a1E94mwCEaNgw6cEHpaOPlqZNk044IewWoQRUHIsA22b12uJvSlzdba8DiMj2RzswIydHqlLFDXGfdlri24BSYwtW1D4oZi8L5qBtiNt60OyTBiK0\/fGRR6SbbnIHZlhAn3tu4t4b\/w\/7pAEgRJPmr9SQiQuD7Y7fVy49TaN6NFN2i7qJacxTT0nXXee2V734otSpU2LeFyVinzQAhMib7Y9WPez666Xy5d0+aAI6aRDSAJDK2x8tlG0vtJX4fO456dJL4\/+eiBlCGgBSdfujlfe88krrtkt\/\/aurLIakQkgDQCpuf7R55+7dXVWxJ56Qrroqfu+F5Arp\/Px8nXTSScrMzIzHbw8AScF2T9gqblskVhTVdl8u3tsfrbyn9Zp37HAFSzgTOmnFZXX3T3\/6U82bN0\/vv\/++cnNzS9cQVncDSEEJ3\/74n\/9Il1\/uDs547DFpwIDYvweSdwuWBfM111yjUaNGqWfPnoQ0ACTKvgH9l79IN9wQdotQxtyLacWxnTt3auDAgRo7dqwKbKECACAxbA66aIj7z38moFNETOekf\/e736lFixY677zzDvprc3Jygm8RRTcAwGF6\/nmpWzcX0I8+6k63QkqI2XD3Z599pgsuuEDz589XjRo1NGPGDGVnZzPcDQDxNHGi1Lu322Zlq7hZJJY0Ejrc\/fbbb2v16tVq1KhR8HzHjh3auHGjatasqZdffllnn312rN4KAFBUScwKldgH\/dNPS\/36hd0i+NqT3rJli9atW7fn+axZszRgwAAtWrRItWrV0pFWL\/ZADaEnDQClZ73mgQNdJTErVMI+6KST0J50RkZGcCtyzDHHBA3IysqK1VsAAMzo0dKtt0pHHOFKfdp8NFISp2ABQDJ54AHprruko45ydbkvuSTsFuEwcQoWAKQK+zC\/5x4X0JUqSS+\/TEBHQEz3SXsjL0+qXNnN1QBAsrOV2za8PXasVK2aC+h27cJuFRIg9VJs0yZ3VqqtcrQ9gwCQzOxz7OqrXUDXqiXNmEFAR0jq9aTXrpW++UaaM0dav97tIbShIQBINlu3Sj17umpi9epJr70m7d7mimhIzYVjK1e63vTixVLbtu5EmBo1YvN7A0AibNggXXaZ9Oab0imnuIA+\/viwW4UYiu7Csbp1pbfektq0sQ3bUvv2LrgBIBl8\/bX73LKAbtXKfZ4R0JGUmiFtrOc8bZrUubP00UduDueTT8JuFQAc2JIl7vNq4UKpY0fpjTes8ETYrUJIUjekjc1Fv\/CCq2u7bJl0zjmuZw0APnr\/fRfQX34p9erlVnFXqRJ2qxCi1A5pY+VIn3lGGjJEsrKlF1zgFmEAgE9eecUNcdvi18GDXV3ug5RTRupL\/ZA2tl\/697+XRo2S8vOl7GzpscfCbhUAOE8+KXXpIm3eLI0cKT30EHUeEIjWv4I77nDfTsuVcweiDx3qqvgAQBjs8+e++6Trr7elvu6gjLvvdo+BlN2CdTDTp7uC9LbFoU8fd5pMhQqJeW8AKCpSctNN7vPH5p3\/\/W+3UAyRkVaK3ItmSJtFi1zd2+XLpfPPdz8g1asn7v0BRFdurtS9u\/T661Lt2tJ\/\/iM1bx52q5BghHRp9iJeeqk0b57UuLErenLCCYltA4BoWbpU+tGPXLGlpk3d5w57oCMpLbLFTErLvsFasQD7gfn4Y+nss6WZM8NuFYBU9e677nPGAvrii6W33yagcUDRDmljp2VNmuROmPn2W+mHP3RbtgAglv7+d7fFas0aNxc9eTJ7oHFQ0R7u\/r6HH3ZhvWuXW\/ltqy7ZBgF4raCgUJMXrtL4WUu1IjdfWZkV1a9tA3VtVkfp6Wl+HDM5bNjezxPbDnrbbazghpiTPhyvvupOnbEzqW0F+NNPu942AC8DevCEeZqyaHXw2D5BLPosnDs3OVaje7cMN6i3bJGuvVb6xz9cr\/m559yCVUDMSR+eiy5ypUNPPNGt+LYSfbbQA4B3rAdtAb1rd0Abu7fndt1eD82KFW542wK6YUP3uUJA4xAR0sU57TS3wMNKiH7wgXTmme4UGgBesSFu60EXx66Pn71MobAFqK1bS3PnSuee6863b9IknLYgqRHSBzpFa8qU\/ReUPfIIFcoAj9gcdEk\/kXZ95fotCW6RXMnhDh2k1aulG290p\/FxihUOU\/nD\/Q8joXx5V0P3jDOkQYPcisz33pPGjpWOOirs1gGRZ4vE1uRtKzaobSa6bvWMxC1E277dLQj785+lI46Q\/vIXV34YKAMWjpWWzSdZhaBVq9zw97\/+xf5GIGST5q\/UkIkLgzno7yuXnqZRPZopu0Xd+C9EW7lS6tHDfU7UquU+H37wg7L+8ZDiWDgWS23b7j3r1XrTrVpJM2aE3Sog0qx3a+FpgVwUnXZvz+26vR73hWhWEMk+DyygrVCJfU4Q0IgRQvpQHHecO5zDhr7tzFdbWPbb3zJPDYTEerXWu7Uec8v61XVc1QrBvT0\/nO1Xh7QQzX7uH3zQfQ4UzT9bYGdllfWPBezBcPfhsiPl7IfSzqe+7DJp3DgpMzPsVgEog7NHTtPqvG0lvm5fAmb\/oqOro2DHS\/7zn+4EPZuHtv3QwCFguDue+vd32ypOOkl64QW33WLBgrBbBaAMbJFYSX3vPQvRFi50w9sW0Lb\/2bZbEdCIE0K6LGzVt+2DvPxy6fPPpTZt3DfqZBoRALCHreIuaYjcLv\/ym1nu5\/yzz9wIms0\/W2ADccJwdyxYu\/\/4R+nnP3cHuVtZ0UcflapVU6ryvl4ycBhKWt1dZUe+Hp\/zpM6a+YpUrpx0\/\/3SkCHU30aZULs70axKWa9eroyolRW1U29S8Fu29\/WSgVh8AZ29LCiG8oONXynnb8NU+aulblHYhAms3kZMENJhyM2VrrtOev55V9Bg5EjpjjtS6jStWO9NBbxkn0ejR0s\/\/akrV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(Deprecated NumPy 2.0)\n  def add_noise(x, mult, add): return x * (1+noise(x,mult)) + noise(x,add)\n"}, {"data": {"image\/png": 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R069attX79elWuXFlVqlTRpk2bNHjw4Hy\/Nj093evq594AANG3KiMrrwd9MLu+etM2hW6Ye\/586dxzpVtv9bs1kQvp7OxsXXzxxV5Qb9myxbvZ43bt2hUY0jYWn3sDAERfSqWy3hx0fux6zcpJCo1581zvOSlJGjvW12HuiIf0xo0btWLFCg0cOFBJSUneLS0tTbNnz9ZPP\/0UqbcBAERQ71YnFbgwzK73bllbobBjh3TNNdLu3W5vdN26CoKIhbRtufrNb36jJ554Qtu3b\/du9jglJcV7DQAQPJ0b1\/BWcZdITMjrUdu9Pbfr9noopKe7BWNWVezmmxUUEd2CtXjxYv3xj3\/UnDlzvOHvpk2b6uGHH\/buD9sQtmABgC9sgZit4rZFYjYHbUPc1oO2gA7F9qvZs91Wq+RkF9S1akXlbQuTe1QcAwCE17ZtUpMm0tKl0jPPSNdfH7W3jvo+aQAAYsqdd7qAtu3C112noKEnDQAIp8mTpfbtbVGVG+Y+7riovj09aQAA8rNp076e85gxUQ\/owiKkAQDhk5Zmp0JJvXtLV1yhoGK4GwAQLhMmSN27Sykpkp0vUamSL81gdTcAAPuz3nPDhm64e8oUqW1b+YU5aQAAcmVnS9de6wLa6nL7GNCFRU8aABAOjz3mwrlBA2nOHHcUpY8Y7gYAwCxaJJ15putNf\/GF1LixYiH3SkatNQAA+HV4xtVXu3s7PCMAAV1YzEkDAOLbvfdKCxZIF1wg3XabYgnD3QCA+PXRR26BWIUK0sKFUu3gHL3J6m4AQHj9\/LPUp49kQWhVxQIU0IVFSAMA4k9OjnTjjfuqil15pWIRw90AgPjz7LNS375SnTpuPtqGuwOGLVgAgPD57jupaVO3mvvTT6VWrRREzEkDAMJl506pVy9p2za3qjugAV1YhDQAIH4MGeKqibVuLf3pT4p1DHcDAOLD5MlS+\/buVCubhw74am4qjkVJdnaOJi5co3Ezl2tVRpZSKpVV71YnqXPjGkpMTPC7eQAQ\/9avd9utzNNPBz6gC4uedAQCOm38PE1atM57bH8Ci2UL5w4NjtPIns0IagAoTtnZUseO0gcfSP36SU89pVjAwrEosB60BfSevQFt7N6e23V7HQBQjB5\/3AV0\/frSo48qnhDSRWRD3NaDzo9dHzdrRdTbBAChMWeOdOedUunS0vjxUlKS4glz0kVkc9AFDVbY9dWbtkW5RQAQEpmZrpLYrl3SqFExdbpVYdGTLiJbJFbQjLNdr1k5vn6qA4BAlf3873+lyy+X+vdXPCKki8hWcRe0MMyu924ZHysMASBwZT9ffVWqVcs9TojPBbqEdBHZNitbxV0iMSGvR2339tyu2+sAgAhatEgaOFAqUcLNQ1eurHjFFqxI7pOetcKbg7YhbutBs08aQHEIdW2GrVuls8+WFi+W\/vIX6e67Fas4YAMA4kzoazNce600dqzUrp3bdpUYuwPC7JMGgDgT6toMY8e6W40a0ksvxXRAF1b8\/wkBII6EtjbDokVuBbfNQ9uCsWOPVRiwTxoAYkgoazNs2SJ16yZlZbl56PPOU1jQkwaAGBK62gw5Oa4H\/c030iWXuOpiIUJIA0AMCV1thmeekcaNk1JSpBdfDMU89P7C9acFgBgXqtoM8+ZJaWlSyZLS669L1aopbNiCBQAxJhS1GTZtks48U1q2zJ1s9Yc\/KN6wTxoAEHssC1JTpYkTpa5dXS86Dst+sk8aABB7\/v53F9D16sV1Xe7CoCcNAAiO6dOltm3d+dCzZ0sNGype0ZMGAMSO1aulHj2kPXukMWPiOqALi5AGAPhv505XsGT9ercvuk8fv1sUCIQ0AMB\/gwZJM2dKLVtKjzzid2viN6QnTpyoJk2aKDk5WTVq1NAYG7IAAKAgdljGqFGuHveECW4+GpGv3T1p0iT1799fL730ks477zxlZmZq3bp1kXwLAEA8WbhQuuEGV0nstddcZTEUz+rus846S\/369dMN9hd+hFjdDQAh8\/PPFhyuYMlDD0l33KEwSYjm6u6tW7dq7ty5Wr16terVq6fjjz9e3bp109q1a\/P9+vT0dK+BuTccWE3o7fmrdcXoGWoxYqp3b88LOp4OAGKOreDu2dMFdPfu0u23+92i+O5Jr1q1SieeeKIaNWrkzUtXrVpVN910kxfS06ZNO3xD6El7LIjTxs\/zDm+3x\/Y3Yj\/CJO6tyzuyZ7P4KfsHILzuvlv661\/dNitbMJacrLBJiGZPuly5ct79wIEDVbt2be\/5\/fffr48\/\/tjrZaNwrB6vBfSevQFt7N6e23V7HQBimpX5tICuVEl6661QBnRhRSykK1WqpFq1auX7Gj3kwhs3c3mBw9p23QrqA0DM+uor6brrXKnP8eOlunX9blF4tmDZgrGRI0d689JZWVkaOnSoLrroorxeNg5vVUZWXg\/6YHbdTrwBgJhdKHbZZbaISRo2TOrQwe8WhWsL1t13362NGzeqcePG3vM2bdponB3WjUJLqVRW6zN35BvUNhNtR9IBQMzZvdstELOFYlZZbPBgv1sUEzhgI2BsFfegCQu9OeiD2aHuD3drrNSmNX1pGwActVtvlR57TLJO3IwZzEOLAzZikh3abqu4LZBz13DbvT236\/Y6AMSU5593AV2tmvT22wT0EaAnHUC2QMxWcdsiMZuDtiHu3i1rewHN9isAMWXWLOmCC+yDTZo61T1GoXOPkAYAFI+VK6Wzz5asPLTV5h4wwO8WBQrD3QAAf9gKblvJbQF9003u+EkcMXrSAIDIsqFtW8H95pu2zUf68EOpVCm\/WxU49KQBANGXnu4C2gqV2NGTBPRRoycNAIicV191B2dUqOAWjdWv73eLAoueNAAgeuygjN\/\/3p0NbWFNQAer4hgAIKSWL5dSU6UdO9ye6Esu8btFcYGeNACgaDIzpU6dpPXr3SrutDS\/WxQ3mJMGABStJrcF9KRJUvv20nvvSSUZpC0M5qQBAMXHAsZqcltAn3669NprBHSEEdIAgKPz6KPSE09Ixx7retAVK\/rdorjDcDcA4Mi99ZZ0xRVSmTLS9OlSixZ+tyjmMNwNAIi82bOlXr3c45dfJqCLEZMHAIDCW7ZM6txZysqSHn5Y6tLF7xbFNXrSAIDC2bjR7X\/O3Wr1xz\/63aK4x5w0AODwtm+X2raVZsyQOnZ0c9Ks5C4S5qQBAJE51erqq11An3WWK\/lJQEcFIQ0AOLRBg6Q33nCnWtlWq+Rkv1sUGoQ0AKBg\/\/iH2w9drZorWlK9ut8tChXmpAEA+bPtVTbMXbas9NFHUsuWfrcorjAnDQA4OpMnu2MnS5Rw5T4JaF8w8w8AONCcOW7\/sx2e8dxz7gAN+IKeNABgn6VLpUsvlbZulYYPl6691u8WhRohDQBw1qxxx01u2ODOhB482O8WhR4Lx0IiOztHExeu0biZy7UqI0splcqqd6uT1LlxDSUmJvjdPABBqCZ2wQXS119LPXpIr7wiJdKP8zv3COmQBHTa+HmatGid99j+li2WLZw7NDhOI3s2I6iBMLOh7YsvlmbOdD3piROl0qX9blXcY3U3PNaDtoDeszegjd3bc7turwMIqZ073ZGTFtCtWrmiJQR0YBDSIWBD3NaDzo9dHzdrRdTbBCAA9uyR+vSRPvxQOuMMqokFECEdAjYHXdCAil1fvWlblFsEwHc2zHrTTW4P9EknuaCuUsXvVuEghHQI2CKxgmac7XrNyklRbhEA3wPa6nE\/84x0wgnStGlSjRp+twr5IKRDwFZxF7QwzK73blk76m0C4KOhQ6VHHpGqVpWmTpVOPtnvFqEAVBwLAdtmNWXxjwWu7rbXAYRk+6MdmJGeLpUv74a4Tz89+m1AobEFK2wfFLNWeHPQNsRtPWj2SQMh2v44Zox0883uwAwL6PPOi95741fYJw0APnp7\/moNmrDQ2+54sBKJCXq4W2OlNq0ZncY8\/7x03XVue9W770rt2kXnfVEg9kkDgI8Cs\/3Rqoddf71UsqTbB01AxwxCGgDiefujhbLthbYSn6++KnXsWPzviYghpAEgXrc\/WnnPK6+0brv04ouushhiCiENAPG4\/dHmnbt2dVXFnn1Wuuqq4nsvFBtCGgCKie2esFXctkgsN6rtvkRxb3+08p7Wa961yxUs4UzomFUsq7uzsrLUsGFD\/fTTT8rIyChcQ1jdDSAORX3747\/+JV1+uTs44+mnpb59I\/8eiO0tWHfccYfmzZunuXPnEtIAEC37B\/T\/\/Z90ww1+twhB24JlwTxp0iTdddddkf6tAQCHmoNOTXUB\/eSTBHSciGhI7969W\/369dMTTzyh0oc5jzQ9Pd37KSL3BgA4Sm+9JXXp4uagn3rKnW6FuBDRkP7b3\/6mpk2b6vzzzz\/s11pIWzc\/9wYAOAoTJkjdurlV3M89J\/Xr53eLEMQDNr7\/\/nuNGTNG8+fPj9RvCQA4XCUxK1RiHZ0XXpB69\/a7RQhqSH\/22Wdat26d6tWr5z3ftWuXfvnlF1WrVk3vv\/++WrRoEam3AgDY3mfrNVslsXHj2AcdpyK2unvbtm3auHFj3vOZM2eqb9++WrRokapXr37YOWpWdwNAIY0cKQ0cKJUq5Up92nw0Yk5hci9iPemkpCTvluvYY4\/1GpCSkhKptwAA\/PWv0t13S8cc4+pyX3qp3y1CMeKoSgCIBfb5eO+90rBhUnKyq8v929\/63SrESk86UDIzpXLl3FwNAMQ6OyDDhrefeEKqWFF6\/32pdWu\/W4UoiL8U27LFnZVqqxxtzyAAxDL7HLvmGhfQ1atL06cT0CESfz3pDRukH3+UZs+WNm1yewhtaAgAYs327VL37q6aWK1a0pQp0t4dNAiH+JyTXr3a9aYXL5ZatXInwlSpEpnfGwCiYfNm6bLLpE8+kU491QX0iSf63SrEeu3uQKhZU\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", "text\/plain": "<Figure size 576x432 with 1 Axes>"}, "metadata": {}, "output_type": "display_data"}]}}, "25e79fe1ca924b589ed8dd170d61a2f5": {"model_module": "@jupyter-widgets\/controls", "model_module_version": "2.0.0", "model_name": "FloatSliderModel", "state": {"behavior": "drag-tap", "description": "c", "layout": "IPY_MODEL_f8ac14d57163468f85be0b2bc639bdcd", "max": 4.5, "min": -1.5, "step": 0.1, "style": "IPY_MODEL_2e39410ed46741ce94bbc308ea9f45d8", "value": 1.5}}, "27e6c8dd08624c409ca6bb8fc789aca0": {"model_module": "@jupyter-widgets\/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {}}, "28ff65c70ff948cc9ffa699bc02a825c": {"model_module": "@jupyter-widgets\/controls", "model_module_version": "2.0.0", "model_name": "FloatSliderModel", "state": {"behavior": "drag-tap", "description": "c", "layout": "IPY_MODEL_d92e2193d6d24f1f9ceccf4ad0fd400f", "max": 4.5, "min": -1.5, "step": 0.1, "style": "IPY_MODEL_b47137fb41eb4aaab5b761c3cbdfca6f", "value": 1.5}}, "2ce4bc9b50464f5bbfad3b9101d6a5fc": {"model_module": "@jupyter-widgets\/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": {"layout": "IPY_MODEL_27e6c8dd08624c409ca6bb8fc789aca0", "outputs": [{"data": {"image\/png": 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", "text\/plain": "<Figure size 576x432 with 1 Axes>"}, "metadata": {}, "output_type": "display_data"}]}}, "36a6488e798e4e4ca9581731dd81ec3a": {"model_module": "@jupyter-widgets\/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": {"layout": "IPY_MODEL_e0b9eb9700674070b3e74d5640b90f20", "outputs": [{"data": {"image\/png": 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", "text\/plain": "<Figure size 576x432 with 1 Axes>"}, "metadata": {}, "output_type": "display_data"}]}}, "36bd0c4eeaec4568bd8c9436a320316e": {"model_module": "@jupyter-widgets\/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": {"layout": "IPY_MODEL_f8640cee3fb641738efbd6e09e1b54c6", "outputs": [{"data": {"image\/png": 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fCC9LatdJNNyVMgI4UPWkAQOJau9b1onfskL77TqpSRYmCnjQAILk99pgb7u7aNaECdKToSQMAEtPixVKNGm7zjB9\/lEqXViKJJO7lj1trAACBlJm5TyNn\/6whk5dqRcZ2VShRWO3Pr6wWdcopNTVFgfXww9Lu3W5LygQL0JGiJw0AIQ\/QPYfN0Oh5q73r9ilsYdmCc9Oap2hgu\/rBDNTTp0sNGkhly7qtKIsWVaJhThoAcFTWg7YAvXd\/gDZ2abftvN0fOPv2SQ884K6npydkgI4UQRoAQsyGuK0HnR07P2TKMgXOF19IY8e6CmMdOyqZEaQBIMRsDjqnAVc7v3LDNgVKZubBXrRtopE\/uVOrCNIAEGKWJJbTjLOdL59WRIEydKirKnb++VLLlkp2BGkACDHL4s4pMczOtz+vkgJj+3aX0W2efdYyr5TsCNIAEGK2zMqyuPOlphzoUdul3bbzdn+gyn+uWCFdf710wQUKA5ZgAUDIHVgnPWWZNwdtQ9zWgw7UOum1+8t\/Wm96\/nypWjUlukjiHkEaABB8PXpIL78s9ewpvfSSkgFBGgCQ+L7\/XqpZUypSxJX\/LFVKyYBiJgCAxPeXv0h79kgPPZQ0ATpS9KQBAMH11VdSo0bSaadJCxdKhQsrWdCTBgAkrsxM6e673fUnn0yqAB0pgjQAIJjeecdtpHHOOVLbtgojhrvDvM0bAATVtm2uNreti54wQWrYUMmG\/aR92uZtzaadmrVitr6Y\/0twt3kDgCB7\/nkXoFu1SsoAHSl60nk0YuZK3TN8tret25GsYs9zreuoZb3yvrQNABLSqlWuWMnu3a5wiRUxSUIkjsVBQm7zBgBB1qePtHWr9Oc\/J22AjhTD3WHb5g1AwkvqPBjb4eqNN6STTz64mUaIEaTzyP44bA56X6Js8wYgoSV1HowN\/fbq5S779ZNKlFDYMdwdpm3eACQ860FbgLY8mKzOgV3abTtv9yes\/\/xHGj\/elQC94w6\/WxMIBOkwbfMGIOElbR7Mjh3Svfe66wMGSPkZ6DX8FvLIess2vBT4bd4AJIWkzYOxvaKXLJGaN5eaNPG7NYFBkI4CC8S2zIqlVgBiLSnzYGzJVf\/+UoEC0nPP+d2aQGG4GwASSFLmwfTuLW3Z4vaKtvXROIBiJgCQ4NndKfsDtOXBJFx2d1Ztblty9cMPocroTokg7hGkASBR10kneh6MfeZfeKE0ebI0eLDUpYvCJIUgDQAIrKFDpfbtpbp1pW++kfLlU5ikxLss6MqVK9WyZUudfPLJKlWqlNq0aaO1a9dG8yUAAMlg82bp\/vvd9YEDQxegIxXVIN29e3fvctmyZVqyZIl27NihP1vtVQAADvX44y6ru127UO9yFdcgvXjxYq\/3XKxYMZ144om64YYbNHfu3Gi+BAAg0S1a5LaiLFJEevppv1sTniB99913a\/jw4dq4caMyMjI0bNgwNbeF6QAAZLn7bmnXLreBRoUKfrcmPEH6wgsv1Jo1a5SWlqaSJUtqw4YNevDBB7N9bHp6ujdpnnUAAEJg9Gjp44+lKlVcsEZ8gnRmZqaaNGniBeotW7Z4h12\/4oorcgzSltWWdQAAktzOnW6PaGPD3YUK+d2iwIvaEqx169apdOnSWr58uSrsH76w6xUrVvQyvC3b+6gNYQkWACS3J56QHnpIuuoq6ZNP7INfYZYSzyVYFoTPOOMMvfzyy15Wtx123QL2sQI0ACDJ\/fST9Nhj0gknSC++GPoA7cuc9EcffaQZM2aofPnyKlu2rKZNm6aRI0dG8yUAAInItqHcts1dUp87YlQcAwDE1pgxbvvJ006TFiyQihb1u0XhrDgGAMBhbKmV7W6VlSxGgM4VgjQAIHZs\/vm776TLLpOuv97v1iQchrsBALGxfLl01lmuNz17truOAxjuBgD45667pK1bXbIYAfq40JMGAETfp59KV18tVaokzZ\/v6nTjMPSkAQDxt2PHwWSxl14iQOcBQRoAEF1PPSX9+KPUrJnUooXfrUloDHcDAKK7DWWtWq6imA1zn3663y0KLIa7AQDxYwGne3e3kYZtQ0mAzjN60gCA6PjXv6R27aQzz3RLrgoW9LtFgRZJ3CNIAwDyLiNDqlFDWr1a+vJLqXFjv1sUeAx3AwDiw7agtADdoQMBOoroSQMA8mbqVOn886W0NGnhQtu72O8WJQR60gCA2NqzR+rSxSWNPfMMATrKCNIAgLxtoGFJYhddJN16q9+tSToMdwMAjs+SJW5N9O7d0syZUs2afrcooTDcDQCIDQsu3bpJ27ZJf\/kLATpG6EkDAHJv2DDpxhvdmuhZs6RChfxuUcJhnTQAIPp+\/dVtPbl2rTRunNSokd8tSkgMdwMAou+++1yA7tSJAB1j9KQBAJGzamKXXiqdcoq0YIFbG43jQk8aABA9liR2xx0Hl14RoGOOIA0AiEx6utuKsnlzqU0bv1sTCgx3AwCO7ZtvpHPPlYoVk+bNkypU8LtFCY\/hbgBA3u3aJXXsKGVmutKfBOi4IUgDAI7u6aeluXPd7laW0Y24YbgbAJCz+fOlevWk1FQXqM84w+8WJY1I4l7+uLUGAJBY9u51PWcb7rZhbgJ03DHcDQDIni2zmjxZOuccqVcvv1sTSgx3AwB+6\/vvpTp1XLLYjBlsoBEDDHcDAI5vmNuyuXfskPr3J0D7iOFuAMDhBg2SJk2S6td3dbrhG4a7AQAHWUWx2rWlPXtcARO7jpigmAkAIHI2\/3z77dL27VLv3gToAKAnDQBwXnhBuusuqW5dado0qUABv1uU1CKJewRpAIC0cKELzpY0Nn26dPbZfrco6ZHdDQA4Npt\/7tDBZXM\/\/jgBOkCYkwaAsHv2WWnqVOkPfyCbO2AY7gaAMLN63L\/\/vZQvnzRzplSjht8tCo0UhrsTU2bmPo2c\/bOGTF6qFRnbVaFEYbU\/v7Ja1Cmn1NQUv5sHIFlYTW4b5t69W3rqKQJ0ANGTDmCA7jlshkbPW+1dt9+IhWULzk1rnqKB7eoTqAFEx8MPuznoiy6Sxo1zO10hblgnnYCsB20Beu\/+AG3s0m7bebsfAPLs66+lJ5+UTjxRevttAnRARf1\/ZeTIkapbt66KFi2qcuXKafDgwdF+iaRmQ9zWg86OnR8yZVnc2wQgyWzZIrVv74qX2E5XlSv73SLEY0569OjR6tatm4YOHaqLLrpImzZt0urVq6P5EknP5qBzGvyw8ys3bItziwAknXvukRYvllq2lG691e\/WIF5Buk+fPnrkkUfUuHFj73ZaWpp3IHKWJLZm085sA7XNRJdPK+JDqwAkjVGjpNdfl8qUcZcp5LiEYrh769atmj59ulauXKnq1avr1FNPVevWrbVq1apsH5+enu5NmmcdcCyLO6fEMDvf\/rxKcW8TgCSxdq3UqZO7\/o9\/SKVL+90ixCtIb9iwwctSGzFihL744gstWrRIBQsW1M0335xjkLbHZx1wbJmVZXHnS03xes7GLu22nbf7ASDX7HPWNs+wKcjOnaVmzfxuEeK5BCsjI8Mb2v773\/+u2+2NIOnHH39UtWrVtHnzZi+R7KgNYQnWb9dJT1nmzUHbELf1oFknDeC4WRJv165S9erSjBnSMT6TkWTFTEqUKKGKFStmex\/BN3csELesV947ACDPFiyQ7r5byp9feucdAnRYl2DdcccdGjhwoDcvvX37dvXr10+XXXaZihUrFs2XAQBEaudO6cYb3R7R\/fpJDRr43SL4ld39l7\/8RevXr1edOnW825dccomGDBkSzZcAAORGnz7SrFnSxRdL99\/vd2uQS5QFBYBkNWaMdMUVUvHi0pw5Ug5TkvAHZUEBIMzLrayqmAWB114jQCcogjQAJBsLzFZJ7JdfpI4dpRtu8LtFOE4MdwNAsrF63L16SWeeKU2fTjZ3QEUS9wjSAJBMZs6UzjvPXZ86Vapb1+8WIQjrpAEAAdjdql07adcu15smQCc85qQBIFl07y4tXOhKfvbs6XdrEAUMdwNAMnjzTem226Ty5d266FKl\/G4RjoE5aQAIg\/nzpXPOcdXFxo2TGjb0u0WIAHPSAJDstm2T2rRxl48\/ToBOMgRpAIjHrnaTl2pFxnZVKFHY2zc+arva2dzzvHnSlVdKDzwQjSYjQBjuBoAYBuiew2Zo9LzV3nX7hLOwnLp\/f\/iB7ernLVDb3gi33CKVLevmocuUiWbzEWOUBQUAH1kP2gL03v0B2til3bbzdv9xmztX6tLFIr707rsE6CRFkAaAGLEhbutBZ8fOD5my7PieePNmqVUrt\/1k\/\/5S48Z5aygCiyANADFic9A5DWba+ZUbtuX+SW14tFMn6fvv3Xpotp9MagRpAIgRSxLLacbZzpdPK5L7Jx00SPr3v6XKlaW33nLD3Uha\/O8CQIxYFndOiWF2vv15lXL3hFaL+557pBNOkIYPl0qWjE5DEVgEaQCIEVtmZVnc+VJTDvSo7dJu23m7P2Jr1kjXXy\/t3i298ILUoEGsmo0ASc4lWPY8mZlSvnzReT4AyOs66SnLvDloG+K2HnSu1knv2SM1aeKqidmSKysBmhKFNdbwVTjLgtouMLffLlWoID33XDSaBgD+uu8+6dln3a5WX38tFS7sd4sQBeEsC7punTRmjLR+vfT730s33uh3iwDg+NncswXotDTpww8J0CGTfD1p88UXUtOmUsGC7lsne6oCSNSNM\/7wB1eX+\/\/+z32uIWmEt+KYzd08+aRb6H\/ttdKvv\/rdIgDInYwMqWVLaetWqW9fAnRIJWdP2thztW3r1hNedpk0erSUP\/lG9wEkob17pebNpU8\/la65xg1zsx466YS3J20s8\/GNN6Szz5bGjpUefNDvFgFAZPr0cQH6d79zm2gQoEMreXvSWX780W2GvmGDNHSodNNN0X8NAIgWG\/274QapRAlp2jSpW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"text\/plain": "<Figure size 576x432 with 1 Axes>"}, "metadata": {}, "output_type": "display_data"}]}}, "f571a3052aaf49218d4cc0e41b3625ce": {"model_module": "@jupyter-widgets\/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {}}, "f8640cee3fb641738efbd6e09e1b54c6": {"model_module": "@jupyter-widgets\/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {}}, "f8ac14d57163468f85be0b2bc639bdcd": {"model_module": "@jupyter-widgets\/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {}}, "ff96ac57258c4689b7e3d3b676c25aa1": {"model_module": "@jupyter-widgets\/controls", "model_module_version": "2.0.0", "model_name": "FloatSliderModel", "state": {"behavior": "drag-tap", "description": "b", "layout": "IPY_MODEL_0e077fa7bb9d4d65a2133937e203e1ff", "max": 4.5, "min": -1.5, "step": 0.1, "style": "IPY_MODEL_56e6699f7a4a49eb91d7d964dc13c98a", "value": 1.5}}}, "version_major": 2, "version_minor": 0}
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