diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
index be3dc9f..231ecd1 100644
--- a/.github/workflows/lint.yml
+++ b/.github/workflows/lint.yml
@@ -32,4 +32,4 @@ jobs:
       - name: black
         run: |
           black --version
-          black --check --diff --color ${{ github.event.repository.name }}
+          black --check --diff --color lectures
diff --git a/lectures/notebooks/3_gaussians.txt b/lectures/notebooks/3_gaussians.txt
index 0713bf8..5e6ba3b 100644
--- a/lectures/notebooks/3_gaussians.txt
+++ b/lectures/notebooks/3_gaussians.txt
@@ -1,300 +1,300 @@
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diff --git a/lectures/notebooks/Lecture 04 - Linear Methods for Classification.ipynb b/lectures/notebooks/Lecture 04 - Linear Methods for Classification.ipynb
index 0f4c59b..ae21a87 100644
--- a/lectures/notebooks/Lecture 04 - Linear Methods for Classification.ipynb	
+++ b/lectures/notebooks/Lecture 04 - Linear Methods for Classification.ipynb	
@@ -26,16 +26,7 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/shyue/miniconda3/envs/nanox81/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.3\n",
-      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "from pymatgen.core import Element, Composition\n",
@@ -374,7 +365,7 @@
    "outputs": [
     {
      "data": {
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       "text/plain": [
        "<Figure size 1200x800 with 1 Axes>"
       ]
@@ -468,7 +459,16 @@
    "cell_type": "code",
    "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/ql/m5k56v8n5sz5880n5sksmc9w0000gn/T/ipykernel_23978/3038749288.py:15: MatplotlibDeprecationWarning: The register_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps.register(name)`` instead.\n",
+      "  plt.cm.register_cmap(cmap=cmap)\n"
+     ]
+    }
+   ],
    "source": [
     "from scipy import linalg\n",
     "\n",
@@ -490,7 +490,7 @@
     "# #############################################################################\n",
     "# Plot functions\n",
     "def plot_data(da, X, y, plot_ellipses=True):\n",
-    "    sns.scatterplot(X[\"mean_X\"], X[\"diff_X\"], hue=y)\n",
+    "    sns.scatterplot(x=X[\"mean_X\"], y=X[\"diff_X\"], hue=y)\n",
     "\n",
     "    # class 0 and 1 : areas\n",
     "    nx, ny = 200, 100\n",
@@ -559,15 +559,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/shyue/miniconda3/envs/nanox81/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+      "/Users/shyue/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/base.py:465: UserWarning: X does not have valid feature names, but LinearDiscriminantAnalysis was fitted with feature names\n",
       "  warnings.warn(\n",
-      "/Users/shyue/miniconda3/envs/nanox81/lib/python3.9/site-packages/sklearn/base.py:450: UserWarning: X does not have valid feature names, but LinearDiscriminantAnalysis was fitted with feature names\n",
-      "  warnings.warn(\n"
+      "/var/folders/ql/m5k56v8n5sz5880n5sksmc9w0000gn/T/ipykernel_23978/3038749288.py:65: MatplotlibDeprecationWarning: Passing the angle parameter of __init__() positionally is deprecated since Matplotlib 3.6; the parameter will become keyword-only two minor releases later.\n",
+      "  ell = mpl.patches.Ellipse(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1200x800 with 1 Axes>"
       ]
@@ -618,15 +618,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/shyue/miniconda3/envs/nanox81/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+      "/Users/shyue/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/base.py:465: UserWarning: X does not have valid feature names, but QuadraticDiscriminantAnalysis was fitted with feature names\n",
       "  warnings.warn(\n",
-      "/Users/shyue/miniconda3/envs/nanox81/lib/python3.9/site-packages/sklearn/base.py:450: UserWarning: X does not have valid feature names, but QuadraticDiscriminantAnalysis was fitted with feature names\n",
-      "  warnings.warn(\n"
+      "/var/folders/ql/m5k56v8n5sz5880n5sksmc9w0000gn/T/ipykernel_23978/3038749288.py:65: MatplotlibDeprecationWarning: Passing the angle parameter of __init__() positionally is deprecated since Matplotlib 3.6; the parameter will become keyword-only two minor releases later.\n",
+      "  ell = mpl.patches.Ellipse(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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eeukll9sBKpuGDRuqT58+uvTSS9WoUSOFhYVpxIgR6tmzp8ttREZGatasWWrSpImh7vnnnzc95/TtM6WK+dB2+gISwN+ys7P18ccfG8rvuecer9pl3kZlVVhYqGHDhunbb7811PXp00eDBg2qsL7N5s2QEO9uHbg6bzJno7IL5Nj2BmttwLlAj2vW2UDFCPTYdgXrbMC54uJi9evXT/PmzdMnn3yi77//Xh999JGmT5+uHj16mK5xV65cqXvvvVd5eXk+j4d1tvd45ASASmHOnDmmfy3SokULLViwwPSZPmZ69OihHj16/PX/4uJijzLl6tevrwceeEBTp051KP/uu++Uk5PjcjxAZdK5c2d17tz5r/+XlJR49OEpOjpaY8eONWyft337du3fv19nnXWWQ7lZ5ri3GaNm53u7TRhQmX3wwQfKzc11KIuPj9eNN97oVbvM26iMcnJy9OCDD2rNmjWGuhtvvFFPP/10hfZvNm+a3QBxh6vzJnM2KrNAj21PsdYGnLPCuGadDfieFca2K1hnA86FhYVp5MiRDmUJCQlq06aNevXqpV27dmnUqFHas2ePwzGbN2/WpEmTNHnyZJ/Gwzrbe+zQACCoFRcXa9y4caY3WFq3bq233npLtWrV8rh9b7b96d27t6KiohzKioqKtG7dOo/bBCoTbzJBr7rqKjVs2NBQbrbY9NeHtvK23APOZO+//76h7NZbb/X5Yod5G8EuNTVVd955p+l81qtXL82YMcPrv+IoTyDnTeZsVFZWGNvuYq0NlM2q45p1NuAdq45tM6yzAc+1atVKy5YtU7t27Qx1H3zwgbZu3erT/lhne88av3kBwAPZ2dkaPHiwPvzwQ0Ndhw4d9Oabbyo2NjYAkZ1UrVo1nX/++YbyjRs3+j8YoJIJCQlx+CuUU8zG1+kLJ0lebx12ega8dHKbTgBGu3bt0h9//GEov+WWWwIQjXPM2wi0vXv36o477tD27dsNdf3799e0adO83hbSFWbzptm85w5X503mbFRGVhnb7mCtDZQtGMe1K1hn40wXTGObdTbgvejoaL300kuqXr26Q7ndbtfixYt92hfrbO+R0AAgKCUlJalPnz5avXq1oa5bt25atGiRatasGYDIHJ177rmGstTU1ABEAlQ+ro6v05/XJ53cPtAbZucH8qYuYGVmz/Ts0KGDzj777ABEUzbmbQTKTz/9pD59+ujQoUOGumHDhumpp55y6Rn1vhDIeZM5G5WNlca2q1hrA2ULxnHtDtbZOFMF29hmnQ34Rr169XTPPfcYyleuXKnS0lKf9cM623skNAAIOuvXr1fv3r0NzzeSpD59+uill15SlSpVAhCZkdkWnOnp6QGIBKh8XB1fZh+m0tLSvOr79H5CQkK82nIXqMy++uorQ9nNN98cgEjKx7yNQFiyZInuv/9+nThxwqE8PDxcU6ZM0dChQ/0aj9m86e04MJt34+LiXOqbORvBympj2xWstYGyBeO4dhfrbJyJgnFss84GfMds7OTm5pp+JvYU62zvef7wGwAIgOXLl2v8+PEqKipyKLfZbBozZozuvffeAEVmzmw7H2+fTwTgJFfHV4MGDQxl3mSCZ2VlqbCw0KEsLi7OMtsOAlbyxx9/GP7CxWaz6eqrrw5QRGVj3oY/lZSUaMqUKVqyZImhrkaNGnr++edNt32uaL6eN83Ot9lsio+Pr/C+mbMRCFYd2+VhrQ04F6zj2hOss3EmCdaxzTob8K2GDRuqXr16Onr0qEP5kSNH1LJlS5/0wTrbeyQ0AAga8+fP17PPPmsor1q1qmbOnKlrrrkmAFGV7fjx44Yysy1+ALjP1fHVuHFjQ9mBAwc87tfs3LPOOsvj9oDKbNWqVYay888/X7Vr1/Z/MC5g3oa/FBQUaMSIEfruu+8MdY0aNdIrr7yiZs2aBSAyqX79+goPD3f4UjMpKUl2u92jbXbT09OVnZ3tUJaQkGD6V97M2Qh2Vh7bZWGtDTgXrOPaU6yzcaYI5rHNOhvwvdq1axsSGsyuXU+xzvYeCQ0AgsLkyZP11ltvGcrr1q2r+fPnq02bNj7pp7S0VJmZmUpPT1daWppq1Kih1q1be9ye2dY9bJeHM5XdbldWVpbS0tKUkZGhkJAQdezY0eP2zLblMhtf9erVU0xMjDIzM/8qO3DggIqKihQeHu52v3v37jWUtWjRwu12gDPBjz/+aCjz5V+NMG8jGGVnZ+v+++/X+vXrDXUXXXSRXnjhhYBedyEhIWrRooV27NjxV1leXp4OHz5s+pcd5dm3b5+hzNm8yZyNYGb1se0Ma23AuWAY16yzAfcFw9guC+ts4OQ4PnjwoJKSknTgwAFdc801pl/cu6q0tNRQVq1aNW9CdMA623skNACwNLvdrokTJ+rtt9821LVt21Yvv/yy6tat65O+Fi5cqFmzZqmkpOSvss6dO2vRokUet7l161ZDma9uCAHB5Msvv9SYMWMctpRr3LixVqxY4XGbW7ZsMZQ5G1/t2rXTzz///Nf/i4qKtHPnTrVv397tfs3Gdbt27dxuB6jsCgsLTcdply5dfNI+8zaCUXZ2tgYNGqTNmzcb6m6++WZNmjRJERER/g/sNO3bt3e40SJJv/32m0c3Wsx+D5Q1bzJnIxgFy9j+J9baQNmCYVyzzgbcFwxjuyysswFp0qRJWrx4sUOZzWbTv//9b4/bTElJMZSZPb7BG6yzvRNS4T0AgBdmzJhheoPlyiuv1JIlS3x2g0U6+aykf35Yk05OKKc/D8hV2dnZ+u233wzlF154oUftAcGscePGhufjHThwwPTDoitKS0v166+/GsovuOAC0+MvvvhiQ9kvv/ziUd+rV682lF122WUetQVUZlu3bjXMobGxsT57/iDzNoJNQUGB7r//ftObpw8++KBmzJhhmZunZvPmmjVrPGrL7LxLL73Urb6Zs2FlwTS2/4m1NuBcsIxr1tmAe4JlbJeFdTZw8jo9ndk84qqkpCQlJyc7lIWEhKhRo0Yet2mGdbZ3SGgAYFmLFy/WwoULDeW33HKL5s2bp6ioKJ/2Z5YZmp2dbbqNlyveffddFRQUOJQ1a9bM5xMhEAyaN29uuij8/PPPPWpvxYoVhueaxcTEON1a84orrjCUffHFF273u2PHDiUmJjqUtWzZ0qc3fIHKYsOGDYayiy66yKNnA5ph3kawGTt2rGFb25CQEE2YMEEPPfRQgKIyd9lllyk0NNShbOXKlW7fyExNTTV8MRITE6PzzjvP6TnM2Qg2wTS2T2GtDZQtWMY162zAPcEytsvCOhs4uZvY6dasWWOYw1z16aefGsrOO+88nz8ahXW2d0hoAGBJGzZs0LRp0wzlvXr10tSpUxUW5vsn5jRs2NB0a5wFCxa43VZ6errpDaIBAwZ4FBsQ7CIjI9WtWzdD+eLFi93+0FZQUKAXX3zRUH777bcrMjLS9JxzzjnHkK3++++/u529+9prrxnKbrvtNrfaAM4U27ZtM5R5spWdM8zbCCavvfaavv76a0P5xIkT1bdv3wBEVLaYmBjDDY+0tDQtX77crXYWLVqkoqIih7KbbrqpzM/yzNkIJsE2tiXW2kB5gmlcs84GXBdMY7ssrLOBkzsH1atXz6GstLTU4+v0jTfeMJRfc801HsfnDOts75DQAMBy8vLy9Oijjxq2zevUqZMmTZrks4xTM7fccouhbOPGjXrvvfdcbqOkpETjxo0zbPEXHx+vXr16eRsiELTMxtfBgwc1b948t9qZPHmy/vjjD4eyKlWqlLsgMlugPvXUU0pPT3ep3y+//NKQuRoVFcW4BpzYuXOnocwsi94bzNsIBrt27dLcuXMN5ffff7969+4dgIhcYzZvzp49W3/++adL52/YsMHwrN2QkBCXbhgzZyMYBOPYZq0NlC0YxzXrbKB8wTi2nWGdDZxcV5pdR2+//bZp0o8zxcXFGjFihI4fP+5QHh8fX2GJTqyzPUdCA4AKc/DgQbVq1crw78MPPyzzvNdee00HDhxwKKtZs6ZmzZql8PDwigxZd9xxhxo3bmwonzBhglauXFnu+fn5+Ro2bJhWrVplqHvyySd9vnUnEAieju1u3bqZPnvz5Zdf1n//+99y+y0pKdGECRO0bNkyQ93w4cNVv379Ms/v3bu34ZikpCT95z//UVZWVpnn/u9//9Ojjz5qKB80aJBiYmLKjR0IBp6ObTM5OTlKSkoylJ9zzjm+CPUvzNsIBpMmTTL89USHDh00fPjwCu/bm3HdtWtXw197ZWZmavDgweVu5fnHH39o6NChhtfdq1cvNWvWrNy+mbMRDIJxbLPWBsoWjOOadTZQvmAc22ZYZwN/u/feexUXF+dQVlxcrCFDhmjPnj3lnp+dna0HHnjA8OgGSXrooYdUrVo1p+eyzv6bP+ds3+8jBwBeOH78uOkWP1lZWabP+fHUW2+9pYsvvthQHhERofHjx+v++++X3W7/q7yoqEgPPvig+vbtqyFDhhi2NCoqKtJ3332nmTNnmn6wvPHGG9WjRw+fxQ8EqyeffFK9e/c2bH85ceJErV27VsOGDTN8ACstLdX//vc/zZgxQ7///ruhzY4dO+ruu+8ut++IiAg99thjhucibtq0SbfccoueeOIJXXnllQoJ+Tvf8/jx43rrrbc0b948lZSUOJzXtGlTDRo0qNx+gTNRUlKSwzwqSdHR0YqNjfVpP8zbsLo1a9Zo7dq1hvJNmzaZPp/WU7t27fJZW//05JNPql+/fg5/zZ2YmKibb75Zjz32mK6//nqHL0Hz8vL0wQcfaNasWcrLy3Noq1atWho5cqRL/TJnw+qCcWyz1gbKFozj+hTW2YBzwTy2T8c6G/hb9erV9dhjj2n06NEO5SkpKerdu7eGDh2qfv36GRITCgoK9OWXX+r555/XoUOHDO3eeOONFf4YGtbZniGhAYClfPjhh8rNzQ1oDFdeeaUefvhhTZ8+3aHcbrdr6dKleuedd9SmTRs1bdpUERE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d2j79ilfnJcee8LR9Dtvs2p849/y87PiTUiqV8n/XXJGf/OOaTkvzD66vz/MOPypvPO2MTBn39J++fmDu7Pzhtptzw/3TM3/F8i3WP6iuLifsd2DOOf6kPOuAg7Z4/jN56vH6y523bdXjde4Jz8qLnuHx+sWN/8z/+8NvOrTttfOE/OEDH+t2jTc+eH/e/r3vdGh72XEn5pPnnd/tMTd16+2357X/+aYeGWtL7v3yN3t8zDsee6RT2xGbbWeztQ7ffc9ObXc9/mi3xuotre3t+dRvf9lpu4eXHXdCjt1731699uqmdfnCH3/fqf2tpz8/e+y081aP01XY5OHNVpvYGo8vXtSpbaeRI7d5HAAAAAAYMFpb07Z6TU44eGLufHDxNncvFgs56eAJqV1q69eBxpocQL/zx9umdmp77qFHpGazZYheeFTnZeH/ePstaW1r69S+rR6cOyfnf+0Lecf3vpNr77vnGcMMSbJw5Yp896q/5SWf/3R+f8tN23y9K6fdmRd+9hP5zG8uzV2PPfqMb44nyQNz5+Qzv7k05335c7m7yt403VoX/e6X+Z8r/9opzJBs2M/+sttuzg33z+iiZ/LEkkV52/99K6/86hfyq5uu36owQ5Ksb23NddPvyTu+/5287ltfybzly7pV+5XT7soLPvvJfPo3v9jqx+vTv/lFzvny/3vax+uFRx6T+s1Wj3h00cLcP3dOt2pMkj/fcWunthcfvW3bKfRnmwenkmT/XSZ3a6yxw4dnpxEd3xCft3x5Vq5d263xesNP/vH3TltNjBg8JO95wYt7/dpf++ufs2xNx731powbn9dt5VYTT9lvl106tV03/d4uX0eezow5s/PYoo6Bhvra2hzQzcceAAAAAAaK2tmzcupRkzN00LZ/5v7YAydk5IhByaxZvVAZ1UygAehXmltbc8Xdd3RqP+vo4zu1nXrwYRk2aHCHtpVrG3P1vXdvVw2/vfmGvPrrX8j9c2Zvc9/G9U359G8uzRf/+NutOr+9VMonfnlJPnjJD7OkG/u3z1qyOP/5P1/PVffctc19K+kPt07N77YQ/KgpFrtcrv+GB6bn/K9enKkzH9iuGu5+/NG89ptfzqKVK7a6T3uplI//8mf5wHY8Xm/8n290+XiNGDIkzzn40E7tf7nztm2+TrLhuXjd9Hs7tE0ZNz5H7tm9FQj6o0e7+GT/tqwWsLkp4ztvd/NEFysBVMLSNavz/b9f3an97c97QUYN7d0tUR5aMD+/u6VzUO39Lz57m7eAOXn/A1O32XYRyxsb85W//HGr+q9vbclnfvfrTu3PO+yIbd7mBgAAAAAGnLlzU1NIXviszivWPpNisZBzTt0rpcWLk3Xreqk4qpVAA9CvXHvftKxp6rin/W7jd8qhu+3R6dyGurqcftiRndp/e/MN3b7+r6den4t++4u0lbrek33vCZNy6sGH5exjT8gpBx2SscOHd3nez6+/Lv+72dYMXfnIz3+cP95+S5fHaovFHLb7njnjsCPz4mOOz3H77J/B9Z33pmprb8+Hf/aj3P7IQ1u8XjVYumZ1vvSn323xvBP23b/T9h33zX4iF/74e1nbvL7T+bXFYvabNDmnH3pEzj72hLz46ONy6kGHZtex4572GktWr87/+/1vnvb45j68hcfr8I2P13E5fp/9nvbx+uDPfpzbuni8zu5i647L774j7U/zfHwmV91zd6eVRazO0FFXK3tMGj2m2+PtPHJUp7Z5W7l6SG/71hV/7TRv9p4wMa848Vm9fu0v/ekPnVYxOXHf/XPKQYds81ijhg7NOcef1Kn9V1NvzBcu+11a29uftu+yNWvy9u//b6ZvFlYb2tCQd5/5wm2uBQAAAAAGnLa21DzycP79efvnxEMmblWXQiF5+8sPzd6TR6Xmob7xPgY9a9vX8wCoYn+87eZObWc9w5uwLzr6uPzh1o6f9L/rsUfyyML52XvCpG269r2zHs/Fl3V+c7tYKORlx5+U1z/njOwyZmyHY6VSKdfcNy1fvOy3nT6x/72rL89J+x+Ug6fs1uX1Lvnn33PltDs7tQ8bNCj/+dwz89LjT8yIwUM6HFvXvD6/vPH6fPeqv6Zlk6012kul/Pcvfprfvv+jnVatqDY//eff07j+X2+sjh8xMsfsvW8mjh6dJatX5/ZHZmbBihV54VHHdujX1t6e//7FTzvc7iQZVF+ft5x+Zl5+/EkZOaTrT5rPXbY0P7/huvzyxn92emP1uhn35uEF87LPxM5L2W9e95XTOq+sMGzQoLz5uc9/mserOb+48Z/57lV/6/R4fewXl+T37/9Ih8fr+H32y4RRo7Nwk1Ujlq1Zk5sfejDP2v/AZ6xvc3/abLuJQqGQFx197NOc3T1HHH54brzxxpTXN6f1hluTPPPWG9WkubW1w/MwSYY2DNquT+n/f/buO0yusn4b+H3a9J3tJQ2SECBACkgSCCAtYAUJVQEVRcSCP6QIAjZUikhRbK8FFQQVQbBRBAEFIRBCCIEEEiQhdbPZPn3m1PePmZ3d2TO7O7t7puzu/bmusMszM+d5TpuZnXPP9xkcwAGAzjFU8nDalrY9+OvL9iDOlz90KuRB1Q6c9sKmt/Di25tz2gRBwBWnnjbmZV76oQ/j5Xfexpa9bTnt9/33Wfx74xs468ijsGTuPDRV18AwDezu7sYLm9/CQy+9iEgyNzDnlhXc8ckLMW0cQRYiIiIiIiIiIqIpZcsWwOPBVz+5FHc/+iYee+FdpLT8XzSqr/bg4tMW4MgF0yC+uhYIlf/zUio9BhqIaNLY09ONNe/YL3x96D1DX4Q9bO48zKxvwK6uzpz2P6/6L64546MF921ZFm566H7og77d63O7ccenLsaRB8zP+zhRFPG+xe/BYXP2w2d++kPs6GzP3qabJv7fE4/gp5+9xPa4jnAIP/3nI7b22Y3N+H+f+9KQF9d8bg8uXPE+HDpnLr74q58iqarZ29p6e/Dgqv/i0ye+r6B1LpeBFTg+dcLJ+ML7PwSP0l/JwLIsPLNhPY46MPcC/uPrXsG7g8r3K5KMn1/8JRw2Z/hpFGbWN+CrK8/GUQcehC//5he2igdPv75+2EBDen89amuf3diMn3/ukmH2lxufWfE+HDZnLr7wq5/Z9tcDq57HhSeenG0TRREfWXIEfvnUP3OW88grL48q0LCrqxPr3t2a07Zs3gGOX7R1KQoag1WwEkmowSAmUqChKxKxtQV94wsDBb32x4cGVZwph//35OO2Y37hPvuOqULCaP3sCXulmpMXLcaB04cPEA0n4PHil5+7BJf+9lfYOKjawu7ubtz5mP25NZ85jU246bxPYOEQoTMiIiIiIiIiIiLKT9y4EUil8KkPzce5J+2PJ1/eiede241QNAVJFDCtwY8PHLkvlh3SAjOlQnx5NdDVVe5hU5kw0ECUhwURZglmZBGK3kOxOHfRcbTbwBpmv/x9zWrbt+cPn7s/ptU1DjviDx9+JH7xZO4FrEfWvoz/O+XMvCX/+0Yy0NNvvIZNu3fmtAmCgNs/9XksO2A+Rir4Xx+sxfcv+Cw+/sPv5YQiXtj0Jra2t2NOU0vO/X/99JM5F7cBoDYQwF2XXIH6quCIe+iwuQfg8lPOwM0P35/T/sfnn8UFJ7wfgjDynin8HLHy/DbwVgHmGM6G8957Ar58yumZsQwgCDhh4WG29odeyq3EAQAXrngfFs+Zl3f/5BvRMQctxAffsxSPDKpe8MbO7cMem79++l9599evL7l8wP4aeq8dNnd/XH7K6bj54T/ltP/h+WdxwQkn5+yvjyxbjl89/QSsAefCMxtfRzSVgs/tGbKPgf7+yss5jweAjyw9Mu9+cup5zILg4NKclH+/RPNMW+J3ezLrMTb59k80kRjXMsdr6942/Ov112ztl3zglDGOq5DXj/RyX9j0Fl7fsT3nFlEQ8MX3f3jc26Sxuga/+9LluPe5f+M3zzyFcKLwefcaqoL44vs/hNOWHQlFknKePyrxCC63Yh+/hSx94kSlisnJrTDyVue5UJjC90plHcWFj6byjoTKG9FolPY4qKyjbuKbuMfexB15KVk8YwrGI2oq4F7mqyhR5ZrsZ+eEfAZ+5x2IO3bAO2sWPrxkX5x2XO4XD/XOLoivvQaxrQ0Yw7TKNHkU/4otEVEJWJaFf6yxTzfx4SVHjvjYU5YcabuAH00m8MS6NQX3/5fVz9vazlr+XhwxRGWGfA6YPhMfOGyJrf35tzbk/L+qa3hs7cu2+117xsfylqwfypnL32ubAqM91GsLZlSigMeLz7//lILv3xuLYv223IoDHpcL5x974qj7PuGQRba27jzf1u+j6hoedWB/nbX8mIL218z6Brxn7ryctqSq4qk8F6WHMni8frcHJy48tODHTwWDpy4BALeijGuZimzPmaqGvZ9S+tVTT9iCYov3nYOjDjyo6H3/8l//tLW9/9D3YG5zS557j54iyzjzyKPwhfd/EJ4hw2t2nZEw/vHKy3j+rTcdGQcREREREREREdGUparAli2Q//0M8O9/A88/Dzz3HPDUU5BfehFobWWYgRhoIKLJYc07m7G7O3faCI/LhZMWvWfEx86ob8Bhc+bZ2v/84nMF9R2Ox7D67U05bYIg4BPHn1TQ4wc6bdlR2d/dsoJ502bYSr2v2vSm7dvE0+vqC1rXgSRRxKkDAh9VXi8W7jMbPdHoqMddaictOgxVecrzD8W0LFz5kTNx7nuPx7EHL8Dc5mk4ccFiVHl9o+57VkOjrS2hpoa8/6pNb+XdXycvOmxU/ab31xHZ/x9uf61cttzW9ujawgI667a+g52DpmA5efFhw1QrmZryBRokcXxvq2RRsrUNnsamlNpDvXjitbW29k8eP/og0Ght2LEd6waFkADgguOc6Tupqfjx44/gfd/9Jm7560O2CiojWbdtK77821/ikrv+H0LxmCNjIiIiIiIiIiIimtJiMaC3FwiHgaS9Qi5NXZxyokKZpolVq1ZhzZo1WLduHVpbWxEOhxGLxRAIBFBTU4OZM2di6dKlWL58ORYvXlzuIQMAotEoHn30Ubz88svYsGEDenp6EIvF4PF40NLSgvnz5+P444/H+973Prjd7nIPlyaRv+epznDCgkPh9xRWYv+UJUfi1a3/y2l7c+d2vLlzOw6eNfz86Ou2vmMLHSyePRcz6+0Xvkdy6Jx5+PFnv4TZjc2YVlsHMc8F0le2/M/W9qH3LCtomojBzlj+Xhw+7wDMaWoZVbWAcls8e+6o7l8XqMJ5Y6jGkI8/z7QA2jAXnV/Z8rat7cNj3F9nLj8GS+YdgDlNzcPur5MWHYZb/vIAogPe9K15ZzP2hnrRXF0zbB//yFNN4iNLR650MtWYpr1InSiML9AgivZjYnB1hFJ68MXnoQ96bptZ34AVC4r/nuMPzz9ra1uy3zwcPGufcS97d3cXvvybX+LtPa057aIg4H2LD8PJiw/Dwln7oq4qgKSqYU9vN156ezMeemkVtnW05zzmv2+9ifPvvB13feH/0FJTO+6xEREREREREREREVEuBhoqjK7r+MMf/oB77rkHu3btynuf3t5e9Pb2Ytu2bXj++efxgx/8AAsXLsTnP/95nHTS6L8R7gRN0/Dzn/8cv/3tbxGL2b+pGI1G8c477+Cdd97BI488grq6OlxyySU477zz8l6wJRqNaDKBZ95YZ2s/pYDpJvqctPg9+P5f7kdS03La/7zqOXzzo58Y9rFv7Nhma1s8ez/7HQsgiSKOnn/IsPfZsOPdPP2N7gJ/n8ZgNRqD1WN6bDkt3HdOWfpNairWvbvF1j7cRef8x0dx95fX5cL7Dj0cD7/0Qs4YH391DT51wslDPi6laXjytVdz2mblmcKCAFmyv3YNDjaNVr5qDK4801CUgqbr+POA46fP+e89vuiv293RCJ5cb39O/4QDoaTuaASf+8VPsaOzI6d9Vn0Dbr/gM5g/Y2ZOu0tWEPT5cOD0mfj4sSfgD//9D37wyN9ygh47Ojtw6a9/id9dejm8CiuZEBERERERERERETmJV5IryPbt23HeeefhxhtvHDLMMJQ33ngDl1xyCa655hokEokijTC/jo4OnHPOOfjJT36SN8yQT3d3N7773e/iM5/5DEKhUJFHSJPdP9etsZULbwxW44j95xe8jIDHixMWHGpf9mtrEBnhnNrZ2W5rO3D6zDz3dMaOfP3NmFW0/irRjPr6oveRSKWwaddOPPLKatzxj4fx6Z/cjuO+fhW+/sd7bPe1hgk05N9fxTs++pyWp6rCo3mqLwz0nw2vI5rMPd5PZXWGvBTJHjTQzfFND5EvEJGvn1J49s0N6IpEctrcsoJTlywret+PrF1jm9KjqboGxx48fNirEDc89IAtzDC3uQW///JXbGGGwSRRxCeOOxF3Xngx5EGhjk2tu3DXU0+Oe3xERERERERERERElIsVGirEtm3bcO6556K7u3tcy/nLX/6CrVu34p577oF3FPPLj1VnZyc+/vGPY9u2bWN6/KpVq3DhhRfinnvuQSAQcHZwNGX8/WX7dBPvPXgRuqORPPce2tEHLcDj69bktCVVFY+ufQkfO+aEIR+3p8d+3jaOUNZ/rFKahp5oNKdNFAQ0TKDpIsbLLSvwOPgt6B2d7di0ayfe3duGnV0d2NnZgd3dXeiKhMe97HLur8Wz52Jucwu27m3Ltv1vTyvebt2NA6bPyPuYv7/yUs7/C4KAUw4v3gVsVdMQjkZgJVNQw8UNtzU4XInEl2fapERKzXPPwsVTKVtbuSo0PPrqGlvbiQsXIej1Fb3vR9ba+z51yVJI46wMse7drXjq9ddy2tyygh9++rOo8fsLXs57DzoEl51yGm77+19y2u/5zzP45HEnoNpX+LKIiIiIiIiIiIiIaHgMNFSAnp4eXHjhhXnDDHV1dTj99NNx5JFHYvr06fD7/QiFQti0aROeeeYZ/Otf/4I56Bud69evxxVXXIGf/exnY5qjvVCGYeCKK67IG2Y47LDDcOaZZ+Lggw9GdXU12trasHr1ajz44IPYs2dPzn03bNiAr3/96/jhD39YtLHS5LW1rTXvFAwPv/RfPPzSfx3p46EX/ztsoCGh2i9C+t0eR/oeLN8FT5/bXdRzvdJU+cZ/QbUjHMIDLzyHx199Gbu7uxwYVX7l3l8fWXokfvjIX3PaHlm7GldMP8N2385wCC+9vSmnbel++2N6XfGqYax77TVc8NmLirb8gdbf/lNHl5fvonUslRzXMmN5jpe6QNW4ljkW4UQc/31ro619ZQmqdWzd24ZNu+1VqvJVHBmtB1983tb20aOPwezGplEv67xjjsODq57H9gHVHlK6hkdffQXnHXPcuMZJRERERERERERERP045UQF+OEPf4jdu3fb2j/xiU/g6aefxtVXX41jjz0W8+bNw7Rp0zB//nysXLkSP/rRj/D3v/8d+++/v+2xzzzzDP72t78Vddz33nsvVq9endMmSRK++c1v4v7778fZZ5+NQw45BDNnzsSSJUtwySWX4LHHHsPKlStty3r88cfx5JMs1Uyj97eXVxW9jy1trVi39Z0hb09pmq3N41KKMpaUZv8GuJPVCiYCRZLG/FjLsvDrp/+J026+Hnc99fiowwwHTp+J8489seD7l3t/nXL4Mltp/MdffcUWhAOAx15dY5vygNNNDC3o89kqBvTGYsNOPzKSfFVl6ssQaPj3htdtUz40BoM4Yv8Di973E6+9amtbuM/sMYUOBlu1eZOtbeWy5WNalixJOP0I+2NffuftMS2PiIiIiIiIiIiIiPJjoKHMtmzZggcffNDWfuWVV+LrX/86fCN8E3n//ffH/fffjwMPtF9kuOOOO6Cq4yt/PZRQKISf/exntvZvfetbOP/884d8nM/nwy233IKzzjrLdtv3v/99GMb45h+nqUU3DDz26ssl6evPq54d8javy156Pl/IwQn5ytwni9TXZKMZBq657zf4yWN/z1tVY7C6QBWWzjsAnzxuBW75xGfw9PXfw5+uvA7nvXfoah2D+fJU6ijl/moIVuPo+YfktHWEQ1j9v822+z7ySu655HO7cdLCQ4s5vAlNEkU019TmtGmGjlA8NuZl5pvmpCFY+ulknn1zg63thAWLIY5zyoex9r1i4eJxL7ett8cWGKn1BzCvZdqYl3lknoBHvuoSRERERERERERERDR2nHKizP7617/aLuIfc8wxuPjiiwteRiAQwI9//GN8+MMfhjbgQtnevXvx4osv4rjjnC99/Kc//QmhUO585ytWrMBHP/rRgh7/7W9/G5s2bcKGDf0XLnbu3InHH38cp5xyiqNjpcnr+bfeyHsBsBiefmMdvhKNojYQsN0WzBM8iibHV3p+KAGPF4Ig5HwLPD7OMvelNPhb36X0s8f/jidfW5v3ttmNzVi6/wGYP2MfzG1uwZzmFtTkmVIAQN7qBkMJeDxl31+nLVuOZ998I6ft0VfXYPmBB2X/f3PrLry9J7dS0MmLDoM3T4CG+s2qb0DroCofO7s6UeO3P08UYmdXp61tTlPLmJY1Vpph2KYeAYATFywqet+d4TDeyhMIOHHh+PvujkZtbY3jDIsMDrQAQE9s7IEWIiIiIiIiIiIiIrJjoKHMHn/8cVvbJZdcMurl7LvvvvjIRz6Chx56KKf93//+t+OBBsuy8MADD9jav/SlLxW8DFmW8ZWvfAWf+tSnctofeOABBhqoYPmmmzj+kMW448IvjGu5/9nwGq747c9z2lRdx9/XrMIFJ7zPdv8qjz3Q0BkO2dqcIIoi/G4PoslEts20LHRFwqivKt03uU1zbGX146mRKyMUw6ZdO/G7/zxla5/T3IKvnXkuDt/PPnXPUJJ5ppEYSiXsr2MPXoC6QFXOt9P/s2E9VF2DS05PjfLPV1+xPe4jJZhu4oilS7F582ZYiSRSTz9f9P6ctv+06bZqF+/ubcPCfWaPelmaYWBnZ0dOm9/twbRa+0XzYlr37hZbIKvK48XSeQcUve/nN71pm7Jjv+YWR6abUPNURhGF8VWcyFcxR2elKSIiIiIiIiIiIiJHMdBQRu3t7di5c2dOW319Pd7znveMaXknnHCCLdCwbdu2sQ5vSBs2bLCN++CDD8bBBx88quUsX74cs2bNylnWyy+/jPb2djQ1jf/ixXiYEGFCGuLWsc+PPpjg2JKcVMj6jTzyQtetsK0pZH+amZlyuiJhPP+WvTT5B5ccmb3PWB110CLUVwVt1R8eful5fPz490EQBAxcw1mNzbZlvL2nFScfNrZx3Pfsv9Da1YmZDY2YUdeIGfUNmNPUAllKH5P7NjZj485tOY/Z3NqKIw+sGVN/Nzx4L6o8Psyob8CM+kbMrG/ErIbGnPsMrjKgGjrMgvdy//0681TUMCHAGuU+G+39H3zxeZiDLpS21NTiV1+4AnVVwbzH4VDH5t5Q/qogQ22PfRubsHHn9py29P6qzmkTCtye333w96jyeDGjvgEz6xvy7q+BJEnEhw5fhvuefTrbFk0m8fxbb+GEzJQS/3p9Xc5jZtY34LC5B8AqYEzWOJ4TLaSPDgtDb79iKqzHoe91yKzZtrYNO3fg1KXLRz2Wza27bRVM5s+cBUsQHXzVsRu8dq9secd2n2X7HwhZkh0ax9DbM1/fR80/eNTne670qKvzVNfZ09td0DEO5B91b55qDPVVVQUvs7I4eZTlrn+xt4cz71omutJuhUKWVMznrcpQ6jV07r23MybuWTWe9y3lV3nbvfJGNBqlPRYq9cgbuA8rYYwT95iauCMvtYn9POwMHi1TAfdyZbyqEE09k/3M47Pr1MZAQxlt2bLF1rZgwYIxL2/mzJm2ts5Oe/nq8XrhhRdsbSeeeOKYlnX88cfj3nvvzf6/ZVl47rnncNZZZ415fDQ1PPbKSzAGlf4Pen1478HjL00uSxI+vORI/O7fT+a07+xsx+q338KRB+aGdxbP3g/3ItfGHe+Ouf9/vLwKW9pac9r+df2tqMt8o3/R7Lm2QMOGHe/axlWInmgUf3kp95vxc5un4cGrr89pk0UJmtF/sTU+xik1trTtGdPjxuvZjettbZ868f3ZbToa/xs0NQMwfMWK9P7KDTSk99dBQzxiaD3RKB7Os78euvqbwz5u5bKjcgINAPDEa2txwsJDsXHnduwaNNXBKUuOzAR3aDhL5h1gC/usfnvzMI8YWr5pHo48YP6YxzZWr27NE2goQXUGAHj1Xfv7omXzDnRk2Q15zvVQPI7d3V2YUVc/pmVuyjM9RkNVdZ57EhEREREREREREdFYje9rzDQuwWAQ5513Hk466SQsWrQIzc3NaGwc+lu2I8k3r7soOr+L16xZY2s7/PDDx7SsfNUo1q7NP8c90UD/WGMP1px06JJsCf3xOu2IY/K2P/Tis7a2RbPn2trWbnl7TNNOtPV0Y+ve3Iv++zQ251x4Xzxnnu1xT6yzn5eFeHGzvcrFoXmWP7i0ekrXcqZRKERXJIwdHXtHN0AHJDXVVm0DyL+ehXh24+u2NsOyP//297Ofre2f6+xTPBRi1eaNtrbD8ix/sP1apmPBoGkQXti0AZph2NZHEAScuqT4001MBo3Bahw4PTdMuK1jLza32i90j+SJ1+yvfcfMH31IaTx0w8DrO7bZ2pfMK3xKlrHqCIdswRpREHD43LGdp4MFPF7MbW6xtT/26tieOwHgPxvfsLU5NV4iIiIiIiIiIiIiSmOgoYwOOeQQfOtb38JPf/pTPPjgg3juuedw4403jnl5g6eBAIDmZnsp/PHavNn+7dODDhr9N40B5J2mYsMG+wVWooHe2L7VdtEfAD50uHMXYfdtbM57wfu5ja+jI9Sb01ZXFcTh++V+g9kwTTzwwr9H3e/fXn7BNof88kGVF4468BD4PZ6ctq1792D122+Nur+/rrYHQwb3BwC1gSpb26ZdO0bV199fXmWb9qEUoonRBS+Gs/rtt/Dau/ZvsOuDpgoY6KgDD0HAsf21ytaWb3/l85FB0yBEk0m89u47eGnzmznth8/dH9PH+I31qehD71lqa7v7mX+NahkvbNqIt1tzK38cMH0GDpq5z7jGNlrvtrchqao5bV6XC3Ob7EEAp23caX8+md3UbHuuG49jD7ZXwfrziy+MOpwFALu7u/DIWnsYIl8fRERERERERERERDR2DDRMIv/9739tbXPmzHG0j1AohI6Ojpy22tpa1NbWjml5M2fOhCznznyybds22wVdooH+/rL9IvyM+oYxf+N+KKctO9rWZpgm/rr6eVv7uceusLX97t9P4u1We9BoKG093fj9s/YLoWcsPzbn//0eT96x3fjn+xBPFT4VxDNvrMPaLW/ntDUEq3HsIYtt992vZbqt7W8v2y+uD6W1uxP3DJrCo1Rq/IG80ye8/D97if/htId68M0/3p33ttQwgQa/x4OPLDvK1n7jn/8wyv31Gl7Js7+OO6SwaVY+cNhSeJTcCiaPvrLaNh3GqUtZnWE0Tl1ypG27Pr7uFTz9+msFPb47GsGND/3J1n7OUcfmuXdxbW61T6dy4PSZRan2NNjbeapazJ8xy9E+Tl+2HNKgdWnr7cFNDz8wquVouo5r7rs7ZxoeADhg2gy8Z469Yg8RERERERERERERjR0DDZNEb28vHnvsMVv7ihX2i6zjsXu3/WLH9On2C52FkmUZ9fW53wRWVRXt7e1jXiZNbklNxb9es5frd7I6Q5+TD10Cv9v+7eC/vvQ8jEFTvBx78CLbRX/dMPB/v/wR3tljP28G64lGcNmvf4J4KpXTfvRBC/KGCc5974nwuFw5bbu7OvGlX/4IkQIqEmzcsQ3X33+3rf38Y1dAliRb+9Hz7d86fvzVl/HshvUj9rWzsx2X/OJHiCTiI963GGRJwv7TZtjaf/vME9jT013QMjbu2IZP/fhWdAwxjUhSU4cNYp2XZ3/t6urEJb/8ccH761v332Nr//ixJ+bdX/lUeb04ceFhOW3/eOWlnKoZPrcbJy+yTwVEQ6sNBHDO0cfZ2r/2h7ux5p238zyiXzgex2W/+QVau7ty2vdtbMLKZcuHeFSub/zxdzj0ykty/n3whm8UvgID/G+IQEMp/C/P8+SB0+3n7XjMbmrOu10fXbsG1//p90hp2ojLiCYT+PJvf4n129+13XbZKaeVJPxBRERERERERERENJXwU9dJ4le/+hXi8dyLhQ0NDViyZImj/XR2dtrampqaxrXMhoYGW9vgKhBEfZ5evzZvefBiBBo8Lhfed5j9HNob6sHzb+bOnS6KIm78+EVwD/qmdlckjAvuvBm/evIR9MaitmUZpol/vvoyzrv9Blvwwety46tnnJt3bNPrGnDVyo/a2tdv24Jzbr0ej619CapuvzgXSSRw178exUU/vRWxZG51gAOmz8R5x56Ut79jD1lkuyBvWRau/t0vcc8zTyCpqbbH9ESj+NW/HsW5t9+IHZ3pkJIiyXmrJRTbyYsPt7X1RCP4zE9uxXNvvj5kGGHTrh349p9+h0/9+PtoGyb8YFnWsIGN6XX1uHrlObb29du24uxbv4NH164ecn/96l+P4cKf3o5onv11fp7KIMM5bdDF3MFTgJy06D3wut2jWiYBnz3pg2ipya1UlNQ0fP4XP8bP/vkIwoNeny3LwnNvbsBH77gZrw+6MC4IAr56+jkFB1WctKPL/to7q6GxNH3neX9RjL7/74OnYkaeKVX+8vKLOP/OW/HvDa9DNwzb7SlNw99fWY2zbv8ent/0pu3205ctxzHzC5v+hYiIiIiIiIiIiIgKJ498F6p0GzduxN13321rv+CCCyA5fEGkq6vL1lZdXT2uZQaDQVtbOBwe1zJp8vrHGvs0B4v2nYtZDeML1gzltGXH4C8v2aeYeOjFZ3HcgtypGeZNm4GvnnEuvvvAvTkXyFOahl888Q/c9a9Hccis2WiurYNHcaErEsYb27fmvRAuCgK+cc4nML3OHvjps/KIY/Dau+/gH2tezGlvD/XiG3/4LW5+6A9YuM9cNASrYcHCnp4ubNyxDWqe6RFq/AHc9PGLhryIWhuowvnHnoRfP5VbCUY3DPzo0b/g1089jkWz56Kpuga6YWB7Rzve2rXdVsni6jM+iu899EcYJZ5W5tz3noA/Pf9vdEZyn1vaentw2a9/hoZgNQ6euS9qAwGYponuaARvt+7KW5GhviqI+qqgrUR+a3c3gj7/kGNYecTRWPfuliH21924+aE/YuE+c9AQrAZgobWne9j9dfPHLxz1Re+l8w7E9Lp6W0WAPpxuYmyqvF7ceN4F+PwvfpIzDYFhmvjlvx7H7/7zFBbuOwfNNbWIJuLY3Lp7yOogn1nxfhx14EGlGnqOfGPap7E0gYa8fRfheb02EMBPLvoCPvnj223VUf63pxWX/faXCHp9WLDPvmgMVkMzDHSEQ3hjxzYkVXtwCwCW7rc/vn7WxxwfKxEREREREREREREx0DDhhcNhXHHFFdAHXfDaZ599cMEFFzjeXzRq/4Z5IBAY1zL9fvsFwEgkMq5l0uS0a/curN1iL+H+oSWFlWYfiwX7zsF+LdOxpa01p/2lzW9id1cnZtTnBg4+suxoeBQXrr//btuFaMM08fr2rcD2rcP2KYkivnb2x/G+w5aOOL5vnvNJBH1+/P7Zp2y3xVMprP7fWyMuozZQhZ989lLMaZ427P0uPOmDWP32W9iww15qPZZK4sXN9m8tD3TJB0/DGUe+F9976I8jjslpPrcHt3zyYnzxF3cilacSQmc4hOfefH3E5Rw6ez/c9PHP4G8vr7IFGtZufRvzZ84a9vHfOufjqPb5cN+zT9tuS++vTSOOoTYQwM8+eynmjrC/8hEEAR9ZciR+/uSjtttm1NXj8Ln7j3qZlHb4fvvjex//NK79/W9t535S00acfgIAPnr0sbjkA6cUa4gj2tvba2ubVlNX9H6TmopQPGbvu7Y2z73Hb25zC37zxctw5T13YUenvSpFOBHHqs0jP3cCwPsXvwff/uj5UMpQUYOIiIiIiIiIiIhoKmCgYQJTVRVf+tKXsG3btpx2SZJw8803w12EsuFqnm8nugaVoR+tfI/P108p+ZYcBJil/QY5DU3wpI+Rvzz6iG1qAEVRcNqln4d/nJVChnNW6/m45fZbc9pMy8IjbVtxxTmn2u5/+orl2O/9J+DGW27G6xs2jKqvfWbNwq03fQ+LFi4s+DFfP/loLHr0Edxx5w+xt719VP0ddeRy3PzdG9BUwLewfQDuPnYpvn3Dd/GPx+wXxIcSrKrCN6/7Gj78wQ+mGwZNOeE+eB68KwoPpQgez6ju3+eoFcvxq/ccjKuuvWbU26k6GMQXLv4cPnHeeRBFEUtn1OEXTz6Sc5//7t6Gi1YcNeKyvnbyMVj46CO44847x7C/jix4fw3lrINm4xf/esx2Lq08+2x4Tzp6zMsdC8Hjzv70rCht3wDg9OQnH15xDKaf+F589etfw46dOwt+nNfjweWXXopPnnf+qPuU/vOErU3weOBZccyolxW7zv7aO/3DJ8GdZ4oGJ0XyVH/yeDyo//DJRetzIYCHVn4YN37/+/jHY4/CyDPNxHBqamrwxYsvHtM+mxIy5zY8brhWHFvesRCRMwac19KK48s6FCJn8O99AIDHk/0prjihvGMhIucMOLex4sTyjoWInJFzXo9uCloiqmDlOLdFsTT9OIyBhglK0zRcdtllWL16te22K6+8EkuWLClKv/mCBrI8vsMo37QYgytOlJroHl9Ig5xnmib++te/2tqPP/541LUUZ7qJPivPOgN3/OiH0LTcb/Y//Le/4tLLL8sbyjl02RI8+NBDeOKJJ/Dggw9izZo1SCaTeZcvCAIOPvhgnH/++Tj11FPHFBJaedaZ+MApH8Yf//hHPPbYY9iwYQPMQdM99FEUBcuXL8enP/1pHHXUyBfgB6ryunHbD+7AuR8/H/fddx+effZZxGL2b1YDQG1tLU4//XRcdNFFqK8f+oKo4FIgej0Fj0EQhVHdf6Ajjjka/3jkEdx333144IEH0NbWNuR9FUXBggUL8P73vx9nnnlmzvQ4Rx13LJqamtA+IJDw8iuvYNO7W3HwwQePOI6VZ52FD5xyStH3Vz6z9puLxYsX47XXXsu2CYKA088+a8zbdbwEQYBQpr6d9p4jj8Cjjz2GBx54APfffz/+97//DXnfYDCI0047DZ/61Kcwc+bMMfUnyPbXUEEc/fY0TROpVCqnTZIk1E2bBqHIb3KTlv3Yr6+vL/oxEfR6cMttt+KSS/8Pv/nNb/Dss8+itbV1yPuLooiDDjoIH/zgB3HeeeflrTBFuQRBACbJuU1EaTyviSan9LntLfcwiMhhPLeJJh+e10STFM/tEQnW4K9oUsVTVRVf/vKX8cwzz9hu++hHP4rvfOc7Rev7Jz/5CX784x/ntH3+85/H5ZdfPuZlfvWrX7VdqL7ppptw5plnjnmZ42WmVFZoqCCCxwVBEGBZFqxkeat3jFUymcTrb7yBve3t6O7pRjKZRHV1NZoaG3HY4kNR63Bp9Z6eHryxcQO6urrR3dMNy7JQU1ODmTNm4NBFi+HxOPFBtAVVVfHa+vVobWtDZ2cnLMtEXV0dDpi3Pw4+6KC8gaVKsn3HDmx860309PQgEonC6/WitrYGzU1NWLhgAXxeX0nGkd5fG9HV1YXunp7M/qp2eH+lJRIJvPekFTlBlGVLluCeu37tWB+FEjzuAed2auQHON1/CfrY3dqKjW+9idbWPUgkE/B4PKiprsGBB+yP+QccCHGCJmInq+07duDtd/6Hnp5e9IZ6IUkyamtq0FBfj0ULF6KmiNWAJpUB5zbKcG4TURHwvKZJh3/vAwA8ngHndv4APhFNQDy3iSYfntdEJfkst+Q8nnSYoZTntigCRajwX2ys0DDBxGIxfOlLX8KqVatst51yyim4/vrri9q/oii2ttGWaR4sXzWG8U5jMV7xV96C0RMe4lbnPviozCdgZ9bPyXXzrzgSgtcNK6ki9vRLDi55KMX5cOsQAId46oBpA+akNwC8ugn5axz0G+32dANYAhkINKX/9YmYMF9Yh/gol5dfejstALDA1wDs09B/094IUntfLnhJ5ToXmgA0ydVAYzUwcBaHsAGsWo/EiEtw5ljxAFgGEQg0pv/1iRjAC6/Cybcyj61dbauqccr+hyD5tP11pTBj3waeFUdD8HpgJVNIPv3CmJczVs4ed/m3Qz2AY+EBps/JvWF3F9TdY93mzqnM1yEnje74bAHQAhdQ05T+lyGkLOCV1zExI3WFcPZ1z7Xi2PQ3uJMpqE8/5+iyx4LHubMm//YsROVdCC32fpFWHJ89r42n/1Pk3oqp8vbdRDaxnw94LABITzPh9QLJJMyn/13u4UzwY4oKw3OvJMf5ihOz5zaetn8hjqj4eK47bsWKAef10+UeDRE5pRzndm0tcHTpp38eLwYaJpDOzk5cfPHF2Lhxo+22lStX4qabbir6Nz3zBRrGOz1Evsfn66eUTAgwUYpvzY785q4y/6Av35tSY4j9UvrtVNpgS+m3eCE9FrbVJ+76FcK5I69Ux/Df1+SGggIeL05ctGSI57zSHQdWSZ5zB/fp5Hlcmc/WI3FyGzjF2S3pzDNQqbdS6Y8mJ3u0Bv1fcdemMl9jCuHkqEp7xDj3ykCFqrTjvNjn9VC9OsO5969Ume8jClfavVy5x5Qw4Ge+UZZ2H0/kI8oplXusOGXyr+FISvHcOXArV+J5xaNgKpjse7kSzyyiyW+ynnkC0us22Z85x4t1jieILVu24JxzzskbZjjvvPPwve99rySl3X0+e/n1eHx83/XO93j3BCx3QkRU6XZ07MWadzbntH3o8CPgLXNVHCIiIiIiIiIiIiIionxYoWEC+O9//4vLL78ckUjEdtull16KSy65pGRjqampsbUNLl0+WvkeX1dXl+eeREQ0Hj957K/pufYGOHP5sWUaDRERERERERERERER0fAYaKhw9913H2666SYYhpHTrigKvv3tb+PMM88s6XjyBQ26u7vHtcyuri5bW319/biWSURE/TTDwA//8Wc8/fqrOe1HHHAQ5k2bUaZRERERERERERERERERDY+BhgplGAZuuukm3HfffbbbgsEgfvSjH2H58uUlH9eMGfYLX52dneNa5uDHC4KAhoaGcS2TiGiquvuZf2L9u1swq6ERiqygI9yLFzdtRHfUXuXnwhUfLMMIiYiIiIiIiIiIiIiICsNAQwVKpVK47LLL8Mwzz9humzVrFn7xi19gv/32K8PIgGnTpkFRFGialm3buXMnLMuCIAijXl53dzei0WhO2/Tp0+HxeMY9ViKiqcituPDcm6+PeL/jDlmMJfMOLMGIiIiIiIiIiIiIiIiIxkYs9wAoVzQaxYUXXpg3zLB06VI8+OCDZQszAIAoith///1z2hKJBFpbW8e0vK1bt9raBi+fiIgK11xTO+J9agNVuPas80swGiIiIiIiIiIiIiIiorFjoKGCRKNRfOYzn8Err7xiu+20007Db37zG9TWjnyhqtgWLlxoa3vjjTfGtKz169fb2hYsWDCmZREREdAyQqAh6PXhRxd9CY3B6hKNiIiIiIiIiIiIiIiIaGwYaKgQqVQKn/vc5/Daa6/ZbvvSl76E73//+3C5XKUfWB5HHHGErW3VqlVjWla+xx111FFjWhYREQHTaushS1Le244+aAHuvfw6HDxrdmkHRURERERERERERERENAZyuQdAaVdddZWtMoMoivjWt76Fj33sY2UaVX5HH300JEmCYRjZtqeeegpf//rXRxW66OzsxOrVq3PaampqsHjxYsfGSkQ01dQGqvDMd+7A2i2bsaurA0lNQ1N1DQ6bsz9m1DeUe3hEREREREREREREREQFY6ChAvzqV7/CE088YWv/zne+g7PPPrsMIxpeTU0Njj32WPz73//OtnV1deGvf/0rzjnnnIKXc/fdd0PTtJy2j3zkI5BlHpZEROPh93hw7CEMhxERERERERERERER0cTGKSfKbPPmzbjzzjtt7Z/73OcqMszQJ1/ViNtvvx3bt28v6PFr167F3XffndMmimLFVaMgIiIiIiIiIiIiIiIiIqLy4Ffhy+yGG26wVSk47LDD8OUvf7nofe/atQsrVqywtd98880444wzhn3s8ccfj4ULF+KNN97ItvX29uLiiy/GPffcg5aWliEf+/bbb+OSSy6xrffKlSux3377jXItisOECGOIvI9Q4rEUxippb85ug9GN3RxnDqu0+8+5/VL64660x1QhJvI2KGTszm5xZ5YmOLjV849IyP4s/Nx2ckuNvH6FboHSnjFOHpuV96pmlfy5s9TbYOT1q7xn4LSxbE8r77nt3Bo6taTSnwlO9ujUc75zSn8Ml7rHynvuLCXL8fUvZP8502dlvq47qdR/F07tc2E0nHx/UyzDv18vjco8oibqO/3JrTKPlUKVevSVt7UmwnNisVXeXqHRKfceLHb/PEeJyqGUZ165n8XGgoGGMlq1ahVefvllW/u6detw8MEHO9bP5s2bHVvWQN/85jdx7rnnQtf1bNu2bdtw2mmn4brrrsOHPvQhKIqSvS2RSOChhx7CbbfdhkQikbOs2tpaXH755UUZJxERERERERERERERERERTTwMNJTRvffeW+4hjMuiRYvw5S9/GbfffntOe29vL66++mrccsstWLBgAerr69He3o7XX38d4XDYthxRFHHrrbeiqampVEMnIiIiIiIiIiIiIiIiIqIKx0BDmSSTSbzwwgvlHsa4XXzxxejp6cFvfvMb221dXV149tlnh328LMv43ve+h/e+973FGiIREREREREREREREREREU1A45uMnsZs48aNSKVS5R6GI7761a/ihhtugM/nG9Xjpk+fjrvuugunnnpqkUZGREREREREREREREREREQTFQMNZdLR0VHuITjq7LPPxlNPPYWLLroIDQ0Nw9531qxZuOqqq/CPf/wDy5cvL9EIiYiIiIiIiIiIiIiIiIhoIuGUE2XygQ98AJs3by7rGGbOnOnoGOrr63HVVVfhK1/5CjZv3ozNmzejo6MDqqoiEAigoaEBCxcuxKxZsxzrk4iIiIiIiIiIiIiIiIiIJicGGshxgiBg/vz5mD9/frmHQkREREREREREREREREREExSnnCAiIiIiIiIiIiIiIiIiIqKKw0ADERERERERERERERERERERVRwGGoiIiIiIiIiIiIiIiIiIiKjiMNBAREREREREREREREREREREFUcu9wCIKpEFESakkvRUKkLJeupT2LoVMi5rwM/x7xdntnmlbk+nFLZ+lTgmJzm3fhN57CNxat3MgjOWpd0vzm5Jp55/nDuiChtRac/1Qo+q0u+/Qozco5P7zznOHQlC5n59P62861vqbTDyyCvzKC8tJ7dB6dfPyR4r771ipT2XOT8eZ7ZWZb4uOKnQZ2FncHs6qzJf/wcr9hgr7/W4MKXdd5V5pFTenqm8ETmrMo8DJ032NZyoz3fOmex7ePKbzHtwsp99RJMXKzQQERERERERERERERERERFRxWGggYiIiIiIiIiIiIiIiIiIiCoOAw1ERERERERERERERERERERUcRhoICIiIiIiIiIiIiIiIiIioorDQAMRERERERERERERERERERFVHAYaiIiIiIiIiIiIiIiIiIiIqOIw0EBEREREREREREREREREREQVh4EGIiIiIiIiIiIiIiIiIiIiqjgMNBAREREREREREREREREREVHFYaCBiIiIiIiIiIiIiIiIiIiIKg4DDURERERERERERERERERERFRxGGggIiIiIiIiIiIiIiIiIiKiiiOXewBElciACAPSOJZgOTaWQgiOLs2ZsTs7JiH70xhnDsu5cU3kfVyIkdePYwIq9zgo3bic2uZmwee2c+vG48VppT1HC9uapX5NG/mepRx3oQTHXx37X7cLP7fzL8kJTq5fYUYee6FrV9jIJ+76OaX0z3cjc3IblH79hu/RgohKfD0u9XE3kY/0QpZU+u1ZiNKeWaV/31Jq1jD/57zSvx5Xosp7DS1MafddZR4ppd0z4+1t4DasxGOqMvexkyb7Gk7U5zLnTPY9PLlN5L032c8souGxQgMRERERERERERERERERERFVHAYaiIiIiIiIiIiIiIiIiIiIqOIw0EBEREREREREREREREREREQVh4EGIiIiIiIiIiIiIiIiIiIiqjgMNBAREREREREREREREREREVHFYaCBiIiIiIiIiIiIiIiIiIiIKg4DDURERERERERERERERERERFRxGGggIiIiIiIiIiIiIiIiIiKiisNAAxEREREREREREREREREREVUcBhqIiIiIiIiIiIiIiIiIiIio4sjlHgAREREREREREREREVWIpkYIM2cAXg8gy4CuA5EorB07gd5QuUdHREREUwwDDUR5mJBgQBrHEizHxiI4tqRCjTx2Z8c0um011H4p55jGy7mxFzbuyX9MFcKZfVyp4y7tuMY+JmvAT9PxolGVuI9LOybnnskK3ccjj8zZZ9dClubMHpzs53rh+2X0e9DMM8rCxu3kq2OpX9dL/cpe6ue7Up8Rpd1/5TizSrWkwtds+B6tUS5tfL3B4d6cVMioKvPvwso7Ogvl3FYo7d5zkpOjyt0K1phfswsz+bfnyJx8j1CZnNmelXmslPb5x7lehAJ77N/qwux9gdn7QgwEkNi+Ealtb8PUkhDdPvjmHgbXMUfD7OmG9c5WYG/7mEZXmfvYOZP9TJ+4azhx3wEBuVt9rP1P1D1HfSbqHpzsz/pUKgw0EBERERERERERERFNVYIAYdECCDOmI/zqkwi/8ji0rt05d+l++ndwz5yPmiNOhX/pkTDf2gRry9YyDZiIiIimEgYaiIiIiIiIiIiIiIimKGHBwRBamtH2wM1IbFk35P1SuzZh765NqF52CupP/jRMXYe1fUcJR0pERERTEQMNRERERERERERERERTUVMTxH33RduDtwwbZhgo9PIjENxe1B5zDqz2DiCRKPIgiYiIaCpzesJqIiIiIiIiIiIiIiKaAIR9ZyHx7uuIv/3yqB7X+8LDMOMRCPvMKtLIiIiIiNIYaCAiIiIiIiIiIiIimmp8PojNzQi98vjoH2saCK97AsKsGYDIywxERERUPHynQUREREREREREREQ0xQjTWmDEwoj/75UxPT687ikIHi9QX+fwyIiIiIj6MdBARERERERERERERDTVuF3QQx2AZY7p4UakC5ahQ3C5HB4YERERUT8GGoiIiIiIiIiIiIiIphpBgGUa41qEZRqccoKIiIiKiu80iIiIiIiIiIiIiIimGk2H5K8e88MFxQNRccNSNQcHRURERJSLgQYiIiIiIiIiIiIioinG6uyCUtsM17T9xvT4wCFHwzIMoKfH4ZERERER9WOggYiIiIiIiIiIiIhoqunuhhkKIfie94/p4dVLPgRrzx5AVR0eGBEREVE/udwDIKpEJkQYkMaxBMuxsQiOLakSxwQUMi5rwE9zXPulsP6cUurt5Gx/hShsW07+Y7gQpd5/E+V4EbI/jQIzlpUxbrvJfZyX7nkTGM24nRlXIf05uwUKOT8L2wrOjavQJY3+qDLznNuVeB47OabCtqaTzy3OjN6q2HN95Hs6uc0LUcr9klbafZNv7Fam1QJgFfy9iNI/S42k1O+3Sv1qXPrn19K+ilbmWVX+89O5JeU/9yuPk8dUac+a0m/PUr+2l/5ZqHQm7rNGQf3t2IWqBceid9XD0HvaCl62d9574GqeDeP5F1GOV6G0ynumqrwRFWYyn8FpE3kNnTmqJuqxCUzsvUeVuvcm8hkxNbFCAxERERERERERERHRFGTt3AUrEsW0c78BqaquoMe4p89D88orYO7aDfT2FneARERENOWxQgMREREREREREY2J2FQPadZ0wOeGIEmwdANWNA5j+25YPb3lHh4REY3ENGG+8iqkI5ZixqdvQefjv0D8nVcBy7TdVZBdCCw8DvUnfxro7oX1+oYyDJiIiIimGgYaiIiIiIiIiIhoVKTZMyHNmQXR70di2wYkt2yCpaUguLzwzT0U7qOXwgyFoL+zHeaeveUeLhERDSelwnxxNcRFC9FyzrXQQ50Iv/pPJFvfgaUmIbp98M5djOChJ0FweWBt3wnrzU2AxZLdREREVHwMNBARERERERERUWEEAfKi+ZBmtCC89p8Ir30CWtfunLv0/Of3cE/bD8Glp6Dq8GOhv70F+ttbyzRgIiIqiKbDXLsOpt8Pcd9ZqD36bAgud/ZmMx4Dtu2GuXMnkFLLOFAiIiKaahhoICIiIiIiIiKigsiHHABpWhPaHvgeElteHfJ+qT1b0PH3O5Hc+SYaP/R5WJoO490dJRwpERGNSSwG881NwJubAEUBZAmCrgOaXu6RERER0RTFQAMREREREREREY1IbKyHPHsW9v751mHDDANF1v0LotuHuhM/AbO9E1YsXuRREhGRYzQt/Y+IiIiojMRyD4CIiIiIiIiIiCqftO8MJLZvRGzzS6N6XGj1P2BEuiHtO7NIIyMiIiIiIqLJioEGIiIiIiIiIiIaluD1QGxuRPiVx0f/YMtEeO3jkGa2ACI/iiIiIiIiIqLC8a9IIiIiIiIiIiIaltjSBDMZQ+ztl8f0+PBrT0NwuSE21js8MiIiIiIiIprMGGggIiIiIiIiIqJhCW4X9HAXYBpjerwZD8NUkxBcLodHRkRERERERJMZAw1ERERERERERDQ8QRhzmCHLNNPLISIiIiIiIioQAw1ERERERERERDQsS9Mg+WvG/HhBdkFwe2BpmnODIiIiIiIioklPLvcAiCqRAREGpHEswXJsLIV9d6XU/TmpkLEL2Z/j2y+F9jcyZ7fTyGOqxP1S6m1QCO6XNOfGVbrnFrPgc7vU26BQpTxeJvdzPs/jwjn3HsG5rTB4SVae/HRhW8DJ7TTy+hXem1PjKmybl/Z5o7Rjskp+Lji5NZ0beyEKOYYL4dRxbhY8IiefYUu7zQtTyPqVdtyF9jbW1w+jsxue+fPgnnkgUrs2j2Jkaf6DjgIsC0Z3b8GjmEpKvUUG72Er7wgm6rlXiWdooUr7HshJzo281K+zzt2rMjlzNlTm+QI4tW8qcw9X5vuISlSZ+89Jg9dwoqzxRH1lKMxE2Qs0FO7BiYYVGoiIiIiIiIiIaFhWbxhGTy+Ch39wTI+vXvJBGHvagZTq8MiIiIiIiIhoMmOggYiIiIiIiIiIRmTsaEXgoOVQGmaN6nHeuYfCPX0ejO27izQyIiIiIiIimqwYaCAiIiIiIiIiohEZu/fA7A1j2rnfgFzdWNBjXNP2Q/MZX4G+aw/M7t7iDpCIiIiIiIgmHbncAyAiIiIimrJEEe4ZDXBNr4foUSCIIkxNh94bQ2r7XhiReLlHSERE1M+0oL7yBlxHHooZn74Fnf/8JWJvrwFMw3ZXQXYhsPA41J/8aZg9YWivv1mGARMREREREdFEx0ADEREREVGpiSJ8B86Ce1YjBElEbPNqqB07YOkaJG8V/POXw3vcodA6exF/exf07nC5R0xERJSmaVBffBXKwvloOuMrMKK9CK97Aqnd/4OpJiG6ffDOWYTg4hUQFDf0Hbuhv/k/wLLKPXIiIiIiIiKagBhoICIiIiIqIUGRULXkQEgBF3pfeADh156GGc8NLHT/+/fwzl6I6uUrETxiAaKvb4G6u7NMIyYiIhpEN6Ct2wh90xZI+85EzbKVED2e7M1mLAZjWyv0Ha2AqpZxoERERERERDTRMdBARERERFQqooCqww+A4LKw++5roXXuGuKOFhLbXkdi2xuoW/FJVC87BRHNgNbeU9LhEhERDcdKJKFvegf6pncAWQZkCdB1QLdPQUFEREREREQ0Fgw0EBERERGViGfOdEhBH3bffc0wYYaBLHQ/fQ8kXxCBxUeh5+lXAdMs+jiJiGjiMk0TpmXBMA2YpgXTMvt/WhaszO2D23KNYXoIQYAoCBBFEaIgQBAEiIIIUcz8FASIogBJlCAKAiRRhCiKEATBkfUmIiIiIiKiyYmBBiIiIiKiEvHs04jIuiehdewY1eO6n/kdAoccA/eMBqR2thdpdEREVEl0w7D/Mw0Ymd81Q8+2pwMKJixrDEGEvJxazsj6Qg+SKEKRZMiSBFmSIEkSlMzvsiTBNeA2hiCIiIiIiIimDgYaiIiIiIhKQGmqheT3Ifzqk6N+rBELIbbpJbj3WcRAAxHRBGZZFjRdh6rrSGkqVF2HruvQTQO6YWaDCoZhopShgnIyLROmkQ5wpDRtyPsNjDAMFX5wKy64ZBluRYEiyww+EBERERERTQIMNBARERERlYBrWh0SO96C1t06pseHX3sK0w85BqLXDTORcnh0RETkBNM0oeo6VF1DSlPT4QVNy7Zpuu5of5ZlwQJgZiozWBZgId1mwcq5D/p+Zu6HzOOsvMGJsYUpBAgQhPRPABAEIRtESLf3taXbBaQbBQgQBRQcQDBME4apAkPnHyBAgEuR4ZIVuBQlG3RwyUo28EBERERERESVj3+9EeVhQoIBaRxLcO6bNM59n6SwMVV6f0Pvl9J+e6mwcVficQAUMq5S91eIyb4NJv82H1763K687TT590vlbYNK3OaFGmnsgkuG1rZnzMvXe/amf3G5YCa0inzNtgYszQJgQizqmArh7Gv2yEtz8hgubFSFnFelPloKuVdhYyr0uHNOabdnIfJfbM7l7IjyLS17SRoWxILGNJ7exnqvkTg1bt0wkFJVJNQUVE3LVlrQ9PQUEMMb/nnRsqxsyMAcEFYwLTMnvJC93bEpJpwyvvH0hSFEQYAIIR1+EJD+/0wQQkRu23AjSWo6kpoOJBK220VByIQdZLhlBW6XC16XGx6XKxN2cO65bCKwirwupd5Szr1elVbpX7Od5FSPlfh+y0mVd9xN7OcyZ7ZnJe6V0r5LGo3K21qVN6LCTOQzrzCVuIbOHS087sh5pdo7E/MoYKCBiIiIiKgEBEGAZZljfrxlGn0LcmhEREQ0nJSmIqmqSKkqkn2/axp0wxjTR0B9wQQjE1owLTPzEzAzAQUMGVCYqB+Zjk5fhQmzwKDG4ACEJAqQBAGiIEIU0r8PVfXBtKz0ftVU222yJMHrcsHrcmWDDl6XC5I0ni8+EBERERER0Vgw0EBEREREVAKmZkIO1I358XKgBgBgac6WKycimsosy0IyE1hIqWrO74VeVO9bjtn3DxYMy4RpDvz/4cIKoyeKImRJgiRKkCQJkihmL95LogRRTP8uCiJEMVPdIPt7+mK/KPb/f6FTPQzH6gtpmOkKEpY5ILhhWrAyAQ7DNGGZ6Z/p29LtumHAMA3ougHdNAqqPjE4ACHkyQ0KAiANCDikf6bXWRaEvEFB3TAQScQRScRz2l2yAo9LgcflzoYcPC4XRHGsFYmIiIiIiIhoJAw0EBERERGNk+CS4Z3ZCMnvgSCLsHQDeiSB1K5OWHq6soLWGUJgwSKIviDMeHjUfQQWHAsjFocRSzo9fCKiKcEwDCRUFfFkAvFUColUEklNG9UyTNOEnq2sYEI3rUx1BXPsRRQEAbIoQZLEzE8pE1bIhBYy/y9LIiQx/Xu+AEK56/cIggBJkCA5dG3fMA3ohgnd0GEY6d8N04Cm6zBME7phpEMQxvABCMsC9GEqJIkCIAoiJEGELKbDDpKYfzoLVdeg6hrC8dygg0dxwe/xwOfxwO/2wOt2OxISISIiIiIiIgYaiIiIiIjGTK72wzOnBZ5pdUiqOrbsDiER0+H3yNjvgJnwzZ+F1O5OJN/di2RrF/wHzUTV4hUIvfiXUfUjKG5ULV6B+NaOIq0JEdHkYhhGNrTQH16wTy2QT1+1BSMzPYRhZn5a5piqLAiCCEWW4ZJluBQFiizn/pPkAi5+T40pJwaSxHQFCreiFHR/Tdeh6Ro0XYeqpX+mNA2aoUPT9SEDD6aFdDgFJlJGf3s66JAJmwgC5EzQId++6pu6oisSzjxWhM/tht/rhd/tgd/jgSLzIzgiIiIiIqKx4F9TRERERERj4JnViMDCOdjWGsLfH1yP/67bBVXv/waozyPjhMNn4SPHzEHzMYcgum4Lkru6UL30w4isf3pUVRqql34YguxCcmd7MVaFiGhCGxheiKWSSKRSSBUQXrBsoYX076OttiBJUjaY4FIUuLJhhXR4QZakcawdFaovNJKPZVnQDB2qlg49ZH/qOtRMCGKwdNDBgm7m3iZmprCQxXTAQRJE29QVpmUimkwgmkxk21yyAr/Hk/3nc3tYxYGIiIiIiKgADDQQEREREY2SZ2YDgovn4v4nN+P3T2zKe594UsejL7yLx1/chi+euQgnL9sfkdfegbu5Gi3nXIe2P34HZiqe97ED+Q85BrXHn4fYph2wVPsFFyKiqcSyLCRSKcQyF4sLDy9kpjCwzPR0BZYFwzJGFVxwKQpcigtuRYFbccHjcsHtUiCJDCxUOkEQ4JIVuGQFgNd2u2maSGkakmoKSVXN/EtBNwz7fTMVHTRzwDQWAiBnqjnIogBZkCCJuWEFVdegRjX0RCOZhwjpKg4eD6p8flR5PJAYfiEiIiIiIrJhoIFoGFUzg6ieVQ0toUGLa9ATeuanBj2pwzKnXtlPIiKiqU4KeBFYNAcPPPX2kGGGgUzTwk8eXA9FFnHc4rkIr9mE4GH7YfoFN6PryV8jse31vI8TfUFULzsFtUefifiWViS27HF6VYiIKp5pmohnAgyRRBzxZBKGab/IPFA6vGAOCC+YhU8XIQjZwIJbUeBxueF2pS+Ei6Lo0FpRpRFFEV63G163e0CrBcM0BgQcVKRUFSlNhW6YuQuwAD2nmoMGUQBkMV3JQRZEKKKYU8XBgoVYpqpIe6gXIoRMuMGHKq8Pfg8rOBAREREREQEMNBANyx10w1vvy/P9jfQ3g/Skng45JDTocW3ATxV6goEHIiKiycg7uxnt3XHc98+3RvW4nz64Hkce0gJXXRC9L7yFqkPnYNr534La3YbIq/+E2rETlqFD8gbgO/BIBA5aDsswEd2wDYltbUVaGyKiymIYBqLJRLoCQyKBeDIJa5gyCgPDC3p22ojCpoxwu1zwutz9oQXFBZcs8yIyZUmiBL/HC78n91MBTddzQg7xVBIpTcu5j2kBqmFC7Qs/CIAkCOlwgyTaqjhYsLLTVOxBFyRRRJXXh4DXi6DPD4/LVfT1JSIiIiIiqkQMNBANQ/EqQ94mCAIUrwLFq8CbN/IA6Ml0ZQd74EFj4IGIiGgCEmQJrhkNeOSxNwv6ou9Aqm7iidU78OGlMxHf0orQS5shVfng3bcJtcedD1Hpf9+h9YQR3bAdyd1dgGkOs1QioolN0/X0Rdx4HLFkAgk1Nez9TcuCbhrQzP4Aw4jhhUzVBa/LBa/bDY/bDa/LzYoLNGaKLEORZVT5fNk2wzQQT6aQSCURSyaRSKVgDHwNtwDDsmDAQMowAGgQBEARRSiiBJeYG3AwTBO9sSh6Y1EAHXDJCqq83mwFB0XmR3pERERERDQ18K8fomHIwwQaCnq8R4HsUYaIO+QJPAwKPYxmPlciIiIqPndLLSwBeGrNzjE9/vEXt+H04+dBqa+G1hmCEYkjumEbohu2QZAlQBRg6Xr6a51ERJOQYRgIJ+KIxGOIJhJQNXX4+5sWdMuAZqSrMJgjhbyy4QU3vB5PpgKDKxNe4HMrFY8kSumwwYCQQ1/1hngqHXRIpHKPd2tAFYc4NIgioAgSFEmES5RyqoWouoauiIauSBgA4HW5EfT7UeP32ypIEBERERERTSYMNBANQ/GNL9AwkuECD9kpLfJVeIhr0JMMPBAREZWa5HOjozuOWEIb+c557OmMIZnSIXldGLwES++bE54v8EQ0eViWhXgqiUg8jnAshlgqkXP74Mkd9EzlBc00oJsmrBHK4bhdLvjcnmzVhf7wAlH5uV0uuF0u1Fal/980zWy4IZ5MIp5KQjf6QzqmCaQGVHCQRCFTvUGELIo5AYeEmkJCTWFvTzcUSUa1P4DaQAABr5fTphARERER0aTCQANRHiZEGIKERG8yPa2ET4YolfZDsdwpLews04LWF3iIa9ASevpnX/AhaQx+RGH9jnvkzvdnDfhpQBpXf4WoxG0wkfsrRGFj4j6ebNtg4LltotDnWG7zSt0GU2WbW5IEVRv8Gjs6qmYAkjTMcT/Rt7mQ/b/Cz+3BnH8f4YyRl+bsJaRCRj9yj6V+nXVuTIWOysn9MvI9rRKHjoSCxlQIZ8ZtQhhxTKqmIRKPZSsx5JTdH/i8YFnp4IJlQjPSP+35hf7eBAHwuj3webzwezzweTyQRPvfB0OvqbNHnlMKG5VTx8Ho7lk6zpzHzq6Z86EAQZTg9/rg9/ZXcUikUoglEogk4ognkzCtgQEHC5qpI4708d9XvUERJMgDPqNQDQMd4RA6wiHIkoRqnx/V/gCCPt8wAR9rmP/LjnjM6zqVOLmVSv2+xVnOvf6PZCJvp0Je151kVehWH4mT790qk3Pbs/Sv6qU7151Vee9/RjOigdu02GtSmfvPKRN57ZzZ85V3JqRN5D1DpcFAA9FQLGDXy3uy/yu5JCg+GYo388+nZMMOileBKJc48CAKcPkUuIaoImEaJvS+kENChxZX+wMPcQ2Gxvm4iYiIRsvSDARqXWN+vCAAXo+MuD6+UAQRUSUxTRPRZAKReAyReBwJNTXkfY1M9YX+AMPQH6mJogi/xwO/xwtfZvoIVl+gycbrdsPrdqOhpiZbwSGaiCOaiCOR6j+XLAvQLAOama7eIAqAIspwSxIUUUy/yQCgGwa6ImF0RcIQBQHV/nS4odrnhyQN9QUBIiIiIiKiysVAA1GBDNWAoRpI9ibz3i4pYjrk4FNyAw+Z30sdeBAlEa6AC65A/osupm5Ci2tQB1R10OL9U1pYRqVm9YiIiMpHC8XRMH8mZjYFsKs9OurHL5rXCEWWoIfiRRgdEVHpJNUUwrEYIpkLr+YQwQQrU4VBM0xolg5zmFy1LEk51Rc8LjcEodTfZSUqH1EUEfB6EfB6AdRDNwzEEol0wCGZgKb1T1hlWkDK0JEydAgC4BJlKJIIlyhlp5wwLQs90Sh6olEIEBD0+VDtD6AmEMip8EBERERERFTJGGggcoihmTBCKSRD+b+NNGTgoUwVHkRZhDvohjvoznu7ntJzKjoM/Kcn9cqtTURERFREakcIqWgSHzpqDn751zdG/fhTjp6NRFcEeiQx8p2JiCpMPB5Ha1cHwtEokpqa/06WBd20oFl6pgqDNeTfDrIkIeD1wu/1wu/xwqXkrz5HNFXJkoTqQADVgQCA9HQu0UQc0Xgc0UQiOz2FlQ03ABAAlyBBkSW4B4QbLFgIxWMIxWPY2dGOoM+L6T09qPW0lGv1iIiIiIiICsJAA1GJ5As8DPymkeSS+oMOmdCDPCD0IJb42xOyW4bsluGt9dpus0wrXdEhlht0UGMqqzsQEdGkp+7swElLZ+H+f21GODbEBb08ptX7seyQaYi8trWIoyMico5lWYgmEujdtRPhZALJcBTxnm7b/UzTTJfCN9LTSQw1i4QoCPB5PAh4fajy+eF2ucCkNFHh3IoCt1KN+mB1dqqXcDSKSCIO3chMZ2UBqmVAVQ3EBEARJLgylRv6pmzpCzck330Xcvte1Pp88CcT8Hvsf/8TERERERGVGwMNRBUiO6XFUBUe3FJ/RYds0KG/woMglq4QqyAKcPldcPnzT2eRU90hE3LIqe5AREQ0gcV3dKB2nyZ888Ij8LWfr0JKM0Z8TNDvwvUXHQE1HEeyracEoyQiGhvTNBFJxBGKRRGKRWEYBnwzqiF6ct/764YB1Uz/M82hQwluRUGVz4+A1wefx5O9oEpE4yOKIoI+P4I+PyzLQiyZRDgWRSgWg25k/u62kA4bmQZi0CCLIlxSunKDmPkMwTAMdHR0YteunfAoLtQFg6ivCkKR+ZEhERERERFVBv51QjRBGCkDRspAsjf/7bJHzoYbslUeMuEH2SNny0yWwnDVHUzDzAQdNGhxNSf4oCd0WMN8GEpERFQJLM1AeM3bmLt8Pr73xaNx8+/WoL1n6Ckk9mmpwtc/tQz1PgWhF99KT3pNRFRBDMNAOB7LhhisPCUWLMuCqqmIqip0Ux/yqUwURQS8PgS8XgR8PrhkTiNBVGyCIKTPOa8X0xsaEU8ms+e0qmnZ++mmCd00EYcGRRQRTKXgdveHlZKaitauTrR2dSLo86GuKogaf4BBJCIiIiIiKisGGga577778PGPf7zcwyAaNT2pQ0/qSCBpv1FA7nQWmSkt+n6X3aV7KhAlEe4qN9xVbtttlmVBT+j9QYdM6AGly2IQEREVRI8m0btqE2YtmYdfXXcyXnmrDY++sA2btncjmdLh9ShYPK8BpxwzBwvnNSLZE0Vo1VswU9rICyciKgHd0BGKpgMM4Xgc+aZ+sCwLqmlAj0agRy2YKQ0pQ7e9Pfe63dkqDF63u6RhaiKy83k88Hk8aKmrR1JNIRyLIRyPIZHqrwipmSbC0ShETYULAkTDhDxgqstwPI5wPA5JFFEbqEJdVRABL6ekICIiIiKi0ivaVcxt27Zh9uzZxVq843p7e3HNNdfg2WefZaCBJh8L2UoI+QiSkJ3GwuVXBlV5UCDKpfk2hiAI2T7zkT0yZh29D7S4BjWWG3owUpzKgoiISsuIJdHz3Ea4W2qwcJ8mLLt4ec7tlmUhubcXPS+/DbU9VKZREhH1M00ToVgUPZHwkCEG0zKhmiY0XYdmmbAswJtSIbj6Pz4QBQEBrw/BQABVPh8kUSrhWhDRaHhcbnhcbjTV1iGlaQhFI+iJRrKVGyzLQlJVoakpSCLglmS4Rbl/SgrTRGc4hM5wCB7FhcaaGtRXBVm1gYiIiIiISqZogYYzzzwT3/3ud/GhD32oWF04ZvXq1bj66quxd+9efpOEpiTLsKBGVKgRFfE8t4uKCJfflVvhwadA8Zd2OgtBEOCp9cKTbyoL3UxXduibyiKmQc381BP8NiwRERWJZSG1pwepPT2I+d2QfG4IsgRLM6BHkzCTarlHSERTnGVZiCTi6ImE0BuN5J1OwjBNaKYB1TCgZ0IMg4miiGBtDRqbW1Dl9fFiJtEE5FYUNNXWoam2DrFkHLG6WoTicRiZ2w0TiJs64tChiCLcsgS3KAGZv/mTmoqdHe1o7epEfbAajdXVcCuuoTskIiIiIiJyQNECDbFYDFdeeSVeeeUVXHvttVCUyps30zRN3Hnnnbjrrrtgmma5h0NUsUzNRLI3iWSvfToLQRQgZ6avsIUe/ApEqTQfdIqyCHfQA3fQY7vNMq2csIOaDT2kqzzk+WIaERHRqBmxFIxYauQ7EhGVQDyZRE80jJ5IBLqhY/CbXsM0oZp6OsRg5n9DLEsSgn4/WmbPRlV9LaDqiLWGOCMc0STg93hRO2MmZigyejs60b51J6KJRPZ2zTShqSZiggaXKMEtSVCkdDUWwzTR3tuD9t4e1PgDaKyuQZXPV65VISIiIiKiSa5ogYY+f/zjH7F+/XrceeedmDlzZrG7K9ju3btx5ZVXYv369bAsi5UZiMbIMq10UCCmId4xsL5D+kNRyS1B8bnSU1n4FCg+F5TM77K76E9BANKhC1fADVfAbR+/ZUFPpMffN42FHusPO1hDfLhLRERERFRpVE1DdySEnkgEKc1eIca0LKimjpRuQB8i1O9SZAR9AQT9Afg86bCwv6oKgiAwB0w0CYmiiNqaGvinTYeqawhFo5nnkL4pKYCUYSBlGJBEAR5ZhmdA1YbeWBS9sSinoyAiIiIioqIp+tVEy7KwceNGnH766bjppptw8sknF7vLET322GO4/vrrEYlEGGYgKjIjZcBIJZDsSdhuE2Uxp6LDwAoPsk8pybkpCEI6ZOFzwdfot92uJTTo8UzYIZap8hBTocVVWAY/0iUiIiKi8tINHb3RKHoiYcSS9vfclmVBNQ2ohg7NNPJOJ+F1u1Hl8yPo98PjsoeAiWhqcMkKGmtq0VhTm6nyEkEoGoWRCUAZpoWYqiEhaHBLMjySDFHMPx1FU3UNXBVYrZWIiIiIiCaeogca+i5IRiIRXHrppfjkJz+Jq666CrJcmm9mD5RMJnHDDTfgoYceys4byjAD5WNChAFpiFudu4jt3NE38picPdKd6c/UAT2sIxHWAQz68FUAFK8Cl1/B9MOaIbkkmIYJLaaVdCoLxatA8Srw1tvLZ+pJPVvVQc0EHdLTWWgwdbMit7mT/RVqqh/nTvZXqMLG5Ux/49sGQvZn+jnXyW1eCes3WOUdU5V4DE/2bVDK87Pw/go1+vUzMdbX68K2QSlfYwrtsdzbfGxLKfxehXBuTIXe08n9Uur+RmblGZNlWQjHouiOhBGORfP2rBk6VEOHahow86QY3IoL1YEq1ASqci46jrQFLAh5xzRWQgFbq9Qx4kLGVBgGoAvfkoUcBxN5e5by+bxQuT1ag/7f6/HC6/Gipa4B4XgMXaEQ4qn0NJSGBcR1HQlDh0tMBxuUzN/ohmmhvbcX7b29qC7KdBRObgVnns9Lf2RW6vuWkZX6PUlhSv267qSRl+ZUf869Nham1NupUM5thUq8JuHcdqrMV+zKe06s1C1ViaOqxDOm9CrzVXti9sZjaiIqWapAEARYloXf/e53eO211/DDH/4Q06ZNK1X32LRpE6644gq8++67OVUZGGwgqlAWoMUz4QDDhAQJhmrg3ed2AABktwTFr8CVmcLC5VOyPyXXUGEUZ8keGbJHBurtt+kpvX8aiwE/+8IORERERESjldJUdIVD6AmHoBlGtr3vr1nDNJDKhBiMPFNKKJKM6kAVqgMBeN2eEo2aiCYyURRRkwk/xZNJdIdD6I1FYVlWZjoKHSlDhyyK8Mgy3KKU/YwtFIsiFIvC5/ZgWl0dqv2BMq8NERERERFNREULNCxduhRr1qzJCQr0hRrWr1+PlStX4pZbbsHxxx9frCFk3XvvvbjtttugqqotzDDwd5/Ph2984xtFHw8RjZ+eMqCnDCS6k7bbREWEy5+ZxmLAVBYuv5IOIJSA7JYhu2V467y224YKO6gxTmNBRERERLn6qjF0hnsRicdtt5uWma7EYBjQTcN2uyiICPoDqAlUwe/1MsxPRGPm83jg83jQrNejJxJGdzgMzdABALppIqqqiAtIT0chy5CEdNWGeCqJLXta4XO7Ma2unsEGIiIiIiIalaJd2bvnnntwxx134Ne//nW2bWCAIBQK4Qtf+AI+85nP4IorroAoOl8+vre3F9dccw2effbZnEoMg6syWJaFhQsX4vbbb8c+++zj+DiIqLRMzUSyN4Vkb8p2mygJ/dUcMkGHvsoOslcuyQe8w4YdMtNYqNH+kIMaVaHF1cqs90VERERERaFqGrrCIXSHe3KqMQDpv2E100BK16GZuu2xgiAg4PWhOlCFoM9flL+3iWjqUmQZTbV1aKypRSgWzZmOwrSAhK4jmZmOwivLkMW+YEMqG2xoqa1HTYDBBiIiIiIiGlnRAg2iKOIrX/kKDjvsMFx77bWIRCLZMIEgCNnff/3rX2PdunW444470Nzc7Fj/q1evxlVXXYWOjo5hqzKIooiLL74Y//d//wdZLtkMHERUJpZhIRVRkYqoAGI5twmiAMUnQ/G50hUeBkxlofiU0oQdMtNY+Opz5xi1LCs9BUcm4KDG+n/Xk/YPsYmIiIho4umrxtAVDiEcj9puN0wTKUODaugwLXva1ef2ZKaUqIIslWYaNiKaugRByJmOoiscQijPdBQuSYJPVnKCDVvbWuF1udFSV4faQFWZ14SIiIiIiCpZ0a/gr1ixAg899BAuvfRSvPXWW3mnoFi7di1WrlyJW2+9Fcccc8y4+jNNE3feeSfuuusuGJlvsQwVZmhpacH3v/99LFu2bFx9EtHkYJkW1KgGNaoNijoAEJCdwiJd3UGB4nel/9+nQBCLG3YQBAEuvwsuvwv+ptzbTMPMhhu0mJYJPKjQYipMzT53MhERERFVlv5qDL3Z8u19RqrG4FIUVPvTFxTdLlephkxElKNvOooWvR7d4TC6IyHomc/lVMOAZhhwiRK8Sn+wIaGm8G7bHuxRurLBBk6LQ0REREREg5WkJMGsWbPwpz/9Cd/+9rfx0EMP2QIGlmWhp6cHF198MT73uc/h0ksvHdMfMLt378aVV16J9evX28ILQG6w4X3vex9uuOEGBINBh9aSiCY1C9BiGrSYBnRkGvoIgOLNncbCNeD3YocdREmEO+iBO+ix3aan9LxhBz2uwTI5hwURERFRuYxUjcE0LSQNHaqh2qoxCIKAoM+P2qpqBHw+22OJiMpFkWU019WhsaYG3ZEwOnv7g1qqaUBNZYINsgJZSgcbkpqKbXvb0NbdjebaWtRVBRlsICIiIiKirJLNseByuXDjjTfi8MMPx3e+8x2kUqmcKSiAdHWFn//853j11Vdx++23o6GhoeDlP/bYY7j++usRiUSGnWLC6/Xiuuuuw9lnn+38ShLR1GQhPR1EXEO8I55tFjL/GRx2UEoYdpDdMmS3DG/d8FNYaJlpLNSYCoNTWBAREREVjWEY6AqH0BnqgaprObdZFqCZeqYag9HXmr3dpSiorQqiJhCEwikTiaiCiaKIhuoa1FUF0RONoLO3B5o+INigGlDEzFQUA4IN29v3oq2nG9PrGzgVBRERERERAShhoKHPGWecgYMPPhiXXnopduzYkXcKitWrV2PlypW4/fbbccQRRwy7vGQyie9+97t4+OGH81ZiGPj7wQcfjNtvvx1z5swp0toREQ0yRNgBgD3sMOCn4lOK+o2UYaew0M1MRYdU//QVmZ+WwaoORERERGOhaho6Qj3oDodgZMMKaf3VGDRWYyCiSUUURdQHq1FfFURPJIL23u5ssEEzDYQywQavLEORJABAStPwbtsedHh6MaOhAX6Pt5yrQEREREREZVaWr3TMnz8fDz/8MK655ho89dRTeUMNnZ2duPDCC3HJJZfgi1/8Yt7lbNq0CVdccQXefffdvFUZBlaAuPDCC3H55ZdDUZSSrCMR0YiGCTsIotBfzSHggsuvQMkEEGRPcZ+6RVmEp8YDT419CgstoWXDDenKDunQg86qDkRERER5xZIJdPR2ozcasd2mGgZSujagGkM/RZZRF6xGTaCK1RiIaMITBAF1wSBqq6rQE4mgI9QDVUtXqdFMA5pqQBZF+GQlG2yIJhPYvGsn6gJVmF7fABc/0yMiIiIimpLK9qlIIBDAT37yE9x111344Q9/CMNIf4AzMJhgGAZ+/OMfY+3atbj11ltRV1eXffzvfvc73HbbbdA0bdgpJpqamnDLLbdg+fLlJV5DIqKxs0wrXR0hqiK2N4aBpYZFWUyHGwJ9FR1cmdCDC6IsFnVcileB4lXga/TntJuGOSjooEKNpqDGVIBVHYiIiGiKsSwLoVgE7T09iKcSg24DUoaOlKHBMM2c2wRBQJXXj7rgwGoMfC9FRJPHwGBDbzSC9t7+YINumgirKbhECT5FgSSm/77tjkbQE42iqbYWLTU1kDKBByIiIiIimhrK/jWPiy66CIsXL8bll1+Ozs7OvNUaVq1ahdNPPx133HEH5s6di2uvvRbPPvtszhQT+aabWLFiBW688UbU1NSUfL2IiIrF1E2kQkmkQsmcdgGA5JbgCuSGHJSAC4pXgSAWbwoLURLhrvbAXT18VYe+ig4aqzoQERHRJGQYBrojYXT2dkPVtZzbTMtCUk8HGaxB00oosozaqmrUVgVZjYGIpgRBEFBbFURNoAqhWBTtPT1IaSoAQDUNqKoBjyTDJ6enY7RgYW9PN7rCvZhWV4+GYHVRp2kkIiIiIqLKURGflCxduhR/+9vf8JWvfAUvvvhi3lDD3r17ccEFFyAYDKKnp2fYqgwejwdf/epXce6555ZlfWjiMyDCwNi/6e7sn9QjfyOr1P0VovAxFdKfkP1pIP83MSb7Ni+0PyMFqCkV6FJtC3D5MtNXBBS4/OnqDq6AAtld3JeCIas66Ga6CkWmqkP2X0yDZdq3SaVuc6f6K4ST55Vz61fYuo3Un1nwc65z31ItbBtUXn+VeGwClXdMFbqsStyek+n5Lt/7qco89wpVecdUqc+9QlTiNih87cbWn6pp6Az1oCvcO6DqQvr4N0wTSV2DauqZxQuZfxb8Hi/qqmtQ5fNn/6Y1bUsfeQ1LeV5ZECA4euRVXgUKp8ZU6HZyagsUvlec2n+Vt++c5Oxz2chLK/e5YOUdo3OvQ0MuSRBQHahC0B9AKBbF3u4uqHr6+TKh60gaBryyAq8kQxAE6IaJnR0daO8NYUZDA6r9gQJHUAlKe7Y7+/rolNF8BjSeezir3OfnUAp7nXFmazm7BUr9vrMS3zGX9pgq9XZyVum2VenP9NHsGWHA/xV7X1Xec17ljahyzxjnVOIaTtRn4aFV4lauVBURaACA+vp6/OY3v8H/+3//Dz/96U9hZj4EGhhW0HUd3d3dADBkmGH+/Pm4/fbbsd9++5VhLYiIKpQFqDENakwD9ua+XIuKmA035Pz0KxCl4k1hIcoiPDUeeGpyqzpYlgUtoeeGHDJVHQzVPr80ERERUbnEkgl09HYjFI3aLnZoho6UrkGzTSsBBP1VqK+uhtdtr25FRDQVCYKAmkAVgj4/usIhtPf0wLRMWJaFuKYiZejwygo8mekmUpqKrXtaEfD6MLOhEV63u8xrQERERERExVIxgQYg/cfLF7/4RRx99NG49tprsXXr1myFBkEQcio3DGyzLAuiKOKiiy7CpZdeCkVRyrgWREQTi6mZSPYmkexN2m5TvHKmqkM64ND3U/EW73lWEIR0NQmfAjTlVnUwVMMWdFCjKrSEVjmxSiIiIpr0IvEY9vZ0IZqI595gWUiZOpK6BnNQxSlRFFEXrEZdsCYzrQTfvBARDSaKIhpralETqEJ7Tze6I2EA6Wo3UTWFpCjCL7ugZML30UQcm3ZuR0OwGtPrGyBJ+as6EhERERHRxFVRgYY+ixcvxl//+ldcf/31ePjhh3NCDUB/mKHv5wEHHIAbbrgBixYtKvPIiYgmFy2hQ0voiHXkflgvSkIm3DCwskP692JWdZBcErx1XnjrvDntpmFCi2k5IYdUJAVtiOkriIiIiMYiGo+hrbsTsWQip920TKR0HSlDh2XlvvdwKQrqq2tQEwhCFIv3PomIaDJRZBkzGptQX12NPV39ATLdNBFSk3BLMryyDDnzvNoZDqE3FsPMxkbUBqrKOXQiotJwudL/AEBTgZQ6/P2JiIgmsIoMNADA/fffjyeffNJWlSGfAw44ALNmzSrV0IiIpjzTsJAKpZAKpWy3yV65P+gwoLpDMas6iJIId9ANdzC3zKhlWdDiGtRIf8ghHXhIwTIYdCAiIqLCROIxtHV1IJ7KrWhlmiYSugbV1G0FF3weD+qra1Hl8+f8XUtERIXzuNyYM206IvE42rq7kFTTf4OmDB2qqcMjyfDJCgRBgG7o2Na2B92+MGY1NsHFCq5ENNmIIoRpLRD3nQmxri7nJrOnB+aOXbB27wEGTXlGREQ00VVcoGHbtm245pprsH79eluAId+UEwDw6KOP4oUXXsB1112HU089taTjJSKiXHpCh57QEe/MbRcGV3UIuOAOuKD4i1fVQRCEdH9+l+02La4ilQk6qNmggwpT5x99RERElBaORdHW3YnEoCCDYZpI6ipU08gJMggCEPRXob66Bl63p8SjJSKavKp8PgS8XvREImjv6YZm6LAsIKHrUE0DftkFV2a6iXA8hjd3bMP0+gY0VtcwVEZEk4LQ0gRp4cGArCC2eTUiT/4bergDACBX1aNq0QnwLzgSOOgAGG+8BWtPW5lHTERE5JyKCjT8/ve/x2233YZkMpkzrQQA23QTA28DgJ6eHlx99dV48sknccMNN6C6uros60BERPlZw1R1ULxSfzWHAf9kd/FephSfC4rPBTTntmuJvooOqZyfDDoQERFNHaFoBHt7umxBBj0TZNAMI6ddFEXUBatRG6yGS+Y3gomIikEQBNQFg6gO+NHZG0JnqBemZcIwLYTVFNySDJ8iQxJEWJaF3Z0d6IlEsE9TM7xu98gdEBFVKGHWDEiLFiCy/hn0PPsHGNHenNu1jp1IbH0Nkr8aNe89B9WHfwDGG2/C3L6jPAMmIiJyWEUEGrq7u3HttdfiueeeswUYBgYZJEnCCSecgGeeeSYn8DDwPk899RQ2bNiAW2+9FUuWLCnPChER0ahoCR1aQkesI57TLipiNtzg7qvuUOWC4lOK9i0bxZueHsPf5M9p15PpoEN22opM2MHUGHQgIiKaDCzLQigWxt4BJc379AUZVMPAwHcgkiShvroGdcFqSKJU2gETEU1Rkiihua4ONVVVaO3sQDSR/juybxoKv+yCR05/5BlPJbFp5w4019aipbYOolic6oBERMUiNDZAWngIel94CD3P/nHY+xqxELr++SsYkW7UHncurGQS1t72Eo2UiIioeMoeaPjvf/+La6+9Fl1dXbZwwsDfp0+fjltvvRWHH344XnzxRVx11VXo7OzMuaDVF3DYs2cPLrjgAnzhC1/AJZdcwtJyREQTlKmZSPYkkexJ5lw8EEQBil/JTF+R+0+Ui/MBlexRIHsU+BoHBx10qJEUUn1TVzDoQERENKFYloXeaDrIkNIGBRkMAwldg2bmVmSQJQn11bWoC1bz4hgRUZm4FQVzpk1HbzSCPV2d0A0DlgVENRUpQ4dfcUEWRQAW9vZ0oycawazGJgR9/hGXTURUKcT5+yP+9ssjhhkG6n3hISj1M+E/6DAYDDQQEdEkULZAg6ZpuPXWW3HffffBNNMXfYYKM7zvfe/DDTfcgGAwCABYvnw5/vKXv+CKK67AmjVr8j7OMAz89Kc/xerVq3Hbbbehubl58BCIiGiCskwrHRyIqLbbZK8Md5W7P+RQlf4pKcX51qTskSF75KGDDpFU//QVkRSnriAiIqogPZEQ2ro7oWpaTrtmGOmpJczc121ZktBYU4faqiCDDEREFaImUIWA14e93V3ojoQBAJppIqQm4ZVkeOV0hT9V07CldTdqA1WY2dgEWWJlHSKqbEJdLcTqavT8+aFRP7b3xYdRtfBYmA31QGdXEUZHRERUOmUJNGzZsgVXXnklNm/enLcqQ1+lBa/Xi+uuuw5nn322bRmNjY2455578KMf/Qi//OUvbVNQ9P2+Zs0anHbaabj55ptxwgknlHpViYioxPSEDj2hI9Yey2mXPXJOwMEVcMFd5YbkKnXQQUMq0lfNIfMvqjLoQEREVELhWBR7ujpsU0sMFWRQZBkNNbWoCQQhMchARFRxZEnCjMYmVAeqsLuzHaqmwbKAuK5DNQ34ZReUTIChJxpBJJHAvs3NrNZARBVN2HcWUq3vQG3bOurHah07kdzxFpR9Z8FioIGIiCa4kgca7r//ftxyyy1IJpPDTjExf/583HHHHZg7d+6QyxJFEZdddhmWLFmCq6++Gt3d3XmnoOjt7cUXv/hFfPzjH8fVV18NRVGKu5JERFRx9KQOPakj3hkHYGXbJbeUCTi44a5ywZWp7iC7i/MS2Td1hX9Q0EFLaNmAQzbwEE3BMqwhlkRERESjFUsm0NbVP996H80wkNBV6IOmllBkGY01daipCnIqQyKiCSDg9WL/GbPQ0duLjlAPLMuCbloIqSl4JBk+RYEoCNANHVtad6OpphbT6xv4HE9EFUmoq0F01VNjfnz0rRdQf8InYIx8VyIioopWskBDb28vvva1r+GZZ56BZaUvzgwOM/S1f+ITn8BVV10Fl8tV0LKPOeaY7BQUa9euHTIkcd9992Ht2rW44447MHv2bIfXkCYTCyJMjOdb24VdgCztn8ulHlNxLsKOb78AhYyrErdBYWMqdX+FKt02F8awDcwUoKVUxLpyp6+QXGKmioML7kxlB3fABdlTnJdOxatA8SrwNwVy2tWYBjXaH3JIRVSoURWWOfS6lvIYLrwv+7KsAT8NFPZt14l6bDrb32R/bpm4r1flfC4bWumP84HntlnguT3YeJ5bxr6sidlfIUp97hW2pEL7G7nHQpaUVJNo6+5EKBrJLhkAdENHQtcGBBnS7S5FQWNNHaoDVf1/U45q5M5xbpsXdiTku5eVabeQ/lvJyX1cyLhK/3rlzJlslfhocbK/sR8tuZzcAk7tl7TJGxoe3VYSBvzM98hC9nHlbUtBlNBUV4dgwI/Wzk7EkwkAQNLQoZom/IoLLkmCAKC9txeRRAKzm6fBk+dzyMpbu3Jw9kwe/z2c3i+FLM2pZ0VnFTLySjyGnXw+d279Ku81FAAExQUjHh7zWIx4GFBcsMpwZo2k8KOgEgNnpX6PV9renX3P5ZTKezarvBFV5tnirEpcw0p8JRpZJW7JkZQk0PDiiy/immuuQXt7+7BTTNTV1eHmm2/GcccdN+o+mpubce+99+IHP/gB7rrrLgDIOwXFm2++iTPOOAPf/OY3sXLlSidXk4iIJhFDNZDoTiDRnchpFxUxE3Jwp0MORQ46uPwKXH4Fgeb+NsuyoMU0pCKDgg4xtTLfTRMREZWJpuvY292J7nBPzkukYRpI6hpUQ8+5v1tR0Fhbh6C/it/WJSKa4DwuN+ZOn4GucAh7u7tgmiZMy0RETcIjK/DLCgRBQCKVwqad2zGjoRGN1TXlHjYRUT/ThCCN/fMmQZIBk1OcEhHRxFfUQIOu6/jBD36A3/72tzAzL5xDVU84+uijccstt6ChoWHM/YmiiCuvvBJLly7FV7/6VfT09OTtLx6P49prr8ULL7yA66+/Hn4/58sjIqLCmJqJRHcSie5kTruoiHBnKjq4qtxFDToIgpCZJsOFqmn97ZZpQY2qSEVSUCP9P7W45vgYiIiIKplhGGjv7UJnbw9Mq/9DXNMykdRVpAw9JwToUhQ0MchARDQp1QerEfT5sbujPTvlUDJTnSeguCGLIizLwq6OdkTicezT1AxZGm91SCKi8bNSSSj1M8b8eKV+BqxkYuQ7EhERVbiiBRq2b9+OK664Am+++eawVRlkWcZll12Giy66yLG+jz32WPzlL3/B5ZdfjnXr1uX0N/D3Rx55BK+//jruuOMOHHLIIY71T0REU4+pmUj0JJHosQcdPFUuuKvc6RBCpqqD7C5C0EEU4A664Q66c8emm+mgQzjVH3YIp2ConEWRiIgmF9M00RnqQUdvF3Sj/3XOtCykdBVJQ8sJMsiShMbaOtRWVTPIQEQ0iSmyjNnTpqMr1Is93V2AZUE3TYTUJPyyAo+sAABCsSje2pHAvs0tCPr4BSgiKi+rtR1Vi05Az79/D8sY5ZdVRAnBxSfBam0vzuCIiIhKqGiBhpUrVyKZTOYNM/T9vu++++L222/HggULHO+/paUF9913H26//Xb89re/BZB/Cort27fjYx/7GK688kp86lOfcnwcREQ0tQ1V0UFySelww4CQg6vKDdnl/DeBRFmEp8YDT40np11P6UiF+wMOfWEHy+S8FURENLFYloWeSBht3R3QdG1AO5AyNCT1FKwBL2+SKKK+ugb11bUQRbEMIyYionKor66B3+vFzvZ2pNQULMtCVFOhGiYCLhdEQYBuGNjSuhtNNbWYVlfP1wkiKhtzxy7I+8+B/6CjEN3w7Kge6z9gGUR/EPqO14ozOCIiohIqWqAhkUhkgwOAPcxw2mmn4Vvf+hZ8Pl+xhgBJknD11Vdj6dKluOaaaxAKhbJBBqB/+gtN03DLLbfgxRdfxM0334y6urqijYmIiAgADNVAoiuBRFdu6T/JLQ0IObgzQQcXJMX5oIPsliE3yvA39n/zyLLS01akQw7JbNBBT+jDLImIiKh8IvEoWjvbkVRTOe2qoSOhq9npDwFAEIDaqmo01taznDgR0RTlcbmx3/QZ2Nvdha5wCACgmjp6UyYCiguuzOtDe28PwvEY5rRMh8flKueQiWiqSqVg7tmLuuPPQ+Ld9TBivQU9TPQFUXfiJ2C27QUSyZEfQEREVOGKFmjoM7giQiAQwLe+9S2ceuqpxe4664QTTshOQbF+/fohp7949tlnsXLlSjz33HMlGxsREdFARspAPJVAfFDQQfbIcFUpA0IObrgDLoiys98WEgQh04cbVdOr+selGVAjqXTAoe9fJAUYrOZARETlkdJU7OlsRygWyWlXDR1JXYUxIMgAANWBKjTV1sGl8KIUEdFUJ4oipjc0osrnw66OduiGAdMyEVaT8MgK/LICQRCQVFVs2rkds5unoSYQKPewiWgKMjdugnTUUkw771vYc/93YUS6h72/5K9By8e+Dsnlh/HKmhKNkoiIqLiKHmgYGB5YvHgxbrvtNsyaNavY3dpMnz4dv//973Hbbbfh7rvvzgkyDPy9o6Oj5GMjIiIaiZ7UoSc1xDviOe2KT8lOXeEOurNBB0F0dh5wSZHgrfPBW5dbWUmNqTlBBzWcghYf5byOREREo2CaJtp7utDe0wUL/cE63TCQ0DXoZm5VoYDXj6a6OnjdnsGLIiKiKa7K58f+M/fBro52ROIxAEBS16CbBgKKC7IowbIsvNvWipbaOkyrbyjziIloylE1GKtfhbzsPZh54W0IrfkHwq89DTMezrmb6K1C1eITUb3sVIiCAmP1OiCllmnQREREzipJhQZRFPHZz34WX/7ylyGVsaynLMu45pprsHTpUlx33XUIh8M5oQYiIqKJRotr0OIaYntj2TZBAFz+/mkr+n4qfsXx1zuX3wWX34VAS381B1M3kYqkww3ZoEMkCVM3h1kSERHRyHqjYbR2tkPT+8NzpmUhoaWgGrlBBq/bg+a6Bvi9PgCsKERERPnJkoTZLdPQFQ6hrasLpmVCN02E1BT8igseKf3xaVtPN+KpFGY3t5T1800imoISSRir1kDcfy5qjz4btcd+DPF3XoUe7gAsQA7WwzfvcMC0YO7eA+N/WwCVXzYhIqLJo6iBBsuy0NTUhO9///s48sgji9nVqKxYsQIPPfQQLr/8crzxxhsMMxAR0eRiAWpUhRpVEd0TzTYLopANN6SrOaSrOshuZ98OiLIIb60X3lpvTrsWU5HKVnNIAnz5JSKiAiVSSbR2tiOa6A/wWRaQMjQk9FROXsGlKGiqbUB1oCrPkoiIiPKrD1bD7/FgZ3s7kmoKlmUhqqZgyCZ8mSkowvEYNu3agf2mzYDHxSmMiKiENA3mm5thbvofhBnT4G3eF2jYL3ObDuPNt2Ht3gMYRnnHSUREVARFDTSsWLECN954I2pqaorZzZjMnDkTf/zjH3HLLbfg3nvvZaiBiIgmPcu0kAqlkAqlctoll5QTcHAH3XAFXBAl0dH+Fb8LyqBqDn39Ny5ozlR0SCIVScEy+E1aIiICDMNAW3cnukI9OdNLaIaOhK7CMPur/0iShKbaetRWVfPvOyIiGhOPy439ps/Anq5OdEfS5dzT0xmZqHK5IQoCVE3D5l07sG9TC2oCgTKPmIimHNOEtXM3jJ27yz0SIiKikilaoOEb3/gGzj///GIt3hGyLONrX/sali1bhuuuuw6RSKTcQyIiIio5QzUQ74wj3hnvbxQAl1/JBB3c2aCD4lUc71+URNTMrs3+v2VZ0OIaUuFkOuQQSgcd9KQ+zFKIiGgysSwL3eEQ9na3Qx/wLTPTNBHXVGhm7mtCXbAGjbX1kFkCnIiIxkkURcxobILH7caers703yemgZCaRJXigixKME0T77a1oqW2DtPqG8o9ZCIiIiKiSa1ogYZKDzMMdPLJJ2P+/Pm47LLL8Oabb5Z7OEREROU3YNoKoD/wJypidsoKd9ANd5UbrqDb0WoOgiDA5XfB5XcB0/rbDdXoDzlkqjmoURUwWc2BiGgyiSUT2N3RhkQqmZ2dyLKAhK4iZag500v4PF601DfC6/aUZaxERDR51Qer4XG5sHPvXmiGDsM0EVJT8CsueKT0R6ptPd1IqCr2bWqGxFAdEREREVFRFHXKiYlk1qxZuP/++/G9731vxPs+/PDDaG1tzWn70pe+VKyhURkYEGEg/8W50hevHflCnbNjcubCoJNjsgb8LM1+4Taf/Nug8vqbKPvP1AC9W0Wsuy/okO5L8SvwBN1wD5y2wudsNQfJJcHX4IevwZ9ts0wLalRFMhtySP8zVafmjCzsWHFu/02eYyX/spwMn5TyPK6842Ci9Gci3wf7Th53lXfOFKLU61fYqMt/3Gm6jraudvREQpkWERbS00vE9RQs0wIy7wVlSUZzfQOqA0EAgGlb2sj95VPa53Mnn4Gce34daUkmhIL6K3T9ClHI2jnbn1PneqFjKnV/I3NqG4ymx/HfYzTn8Mj3dHILFDYu557Rx8LK27+zW710SypMIWvn8/gwZ8ZM7Ny7F4lUEpYFRFUVumzBJysQBAG9sRgSu3Zi7rQZ8LhcRR93aZ9ZnFXq9y2FGXlUpd/mpX8GKqXSv8aMrNTvW0q9JOdeh5xT+NpV4uem5T6vxvqaXZjKO0OdPUcLU4lbYWSlHnW5z4TK4OwnpyObmMemExhoGEBRFHzjG98Y8X5//vOfsW7dupw2BhqIiGgq02IatJiGyJ7+NlEW4Q664K5yp8MOmd9F2cFqDqKQDVAMpCd1JEPJnJCDFtMc65eIiJxjWRa6Qj1o6+6AafZHE3TTRFJLQh/QBkFAfXUtGmvqIIrOvZ4QERENxSUrmDNtOlo7O9AbTVevS+oaDNNEwOWGKAhIaRre3rUDs1umIejzj7BEIiIiIiIaDQYaxsiy+lMwgsAcEhER0WCmbiLRnUSiO5nT3lfNoWVREyRFgmVaEERnX0tlj4yAJ4BAcyBnPAMDDslQEmpEzXzjl4iIyiGRSmJXexsSqUS2zbQsJHUVqqHlfPkg4POjpb4RLqX4334lIiIaSBRFzGxqhtfjwZ6uTsCyoJkGQmoSVYoLsijBME1sbd2NfZpbUFcVLPeQiYiIiIgmDQYaxkEQhJxgAxEREY2sr5pD08ENkBQJekrHu8/tgKcqU8UhU3HBXeWCKDn37VtRFuGt88Jb58229U1Z0RdwSIUyU1boIxcvJyKisTNNE3t7OtHR042BqYWUoSGhqdm/swSkK+m11DeiyhfIvzAiIqISqQ9Ww+NyYcfeNhiGAdM0EVJTCCguuCUZFoDte9ug6Tqaa+vKPVwiIiIiokmBgQYiIiIqO1MzkehOINHd/w1dCIDL78qGHDyZoIPsce7ty8ApK4Iz+79FpcZUpEJ9IYckkqEUTM1wrF8ioqksEo9id8ceqFr/VEC6aSIxaHoJQRDQVFuP+upaVsUjIqKK4fd4sd+Mmdixtw3JVAqwLETVFCzFgkdWAACtXZ3QDQMzGhrLPFoiIiIioomPgQYiIiKqTBagRlWoURWR1mi2UXJJ2RCCp9oNd5UbroDL0WkrXH4XXH4XqqZXZdu0uIZUOB1uSIcckjBSDDkQERVKN3Ts6WxHTySEvqoMlmUhqWtIGSoGFr8LBqrQXNcIl8w/WYmIqPK4ZAVzp83A7s4OhKIRAEBMU2FaFnyZqZHae3ugGwb2aWpmMI+IiIiIaBz46RARERFNKIZqIN4ZR7wznm0TRAGuKle2ikPfP0mRHOtX8SlQfAoCLf0hBz2pZ6s4pDJTVuhJ3bE+iYgmi95oGLs70uW5++iGgZiegjmgKoOiKJje0Ay/11eOYRIRERVMFEXMamqGIsvo7O0BACR0DRYs+GQXBEFAdyQM3TAwp2UaRAcD2EREREREUwkDDURERDThWaaFVCiFVCgFID3nOpAOIbgHhRwUn+JYv7JHRsATQKC5f153PaVnww19YQc9wZADEU1Nmq5jd0cbwrFIts20LCS0JFSj/7lREATUVdeisaYOoiiWY6hERERj0lJXD0WSsKerEwCQ1HWYloWA4oYgCAjHY/jf7l3Yb/p0yJJzgWsiIiIioqmCgQYiIiKatLS4Bi2uIdoWzbaJipiZrsKTDjlUZ6ascKgMrOyWITcF4G/qDzkYqp6dqiI9XUUKelwbZilERBNfV6gXe7r25lRgUA0NcU2FZfW3ed0eTGtshsflLscwiYiIxq2+ugaSJGFXRztgWVANA2ErhSqXG6IgIJ5K4u1dOzFv+gy4FOcC1kREREREUwEDDURERDSlmJqJRFcCia5Etk0QhWy4wVPtgbvaDXeVG4JDZWEllwx/owx/oz/bZqgGUuF0uCHVmw46aHHVkf6IiMoppanY1b4HsUT/1ECmZSKupaANqMogiiKa6hpQW1XNucWJiGjCqwlUQRIl7NjbBssyoZsGwmoSVS43JEFESlPx9q4d2G/6THjdDPERERERERWKgQYiIiKa8izTQrI3iWRvEiGEAKRDDq6AAne1B55qN9yZig6i5EwpdMklwdfgh68hX8ghOSDkwEoORDRxdPZ2Y09XOyzLyralDA0JLZXTVuULoKWhEYrMb6kSEdHkUeXzYe70GdjW1grDMGCYJsJqCkHFDUkUoBkG/rd7J+ZOm4GA11vu4RIRERERTQgMNBARERHlYZkWUuEUUuEUwjszjQLgCrgyVRwyQYegB6JcxJCDZmSmqegPOXC6CiKqNJquY2d7K6LxWLbNME0ktCQ008i2SZKEafVNCAaqyjFMIiKiovO63Zg7fSa2t7VC1TSYpomQmkSV4oIiSTBME1tad2HejJnwexhqICIiIiIaCQMNRHlYEGFCGvLWkThbMHfk/gpR+Jic6a9QhY1LyP4cz34pvL9COLedSj2myd5fIQob08Q81wHn1s+5vobqb+C5LZZ8e46pPwtIRgwkIzFgV/9FO1dAhqfaA0/QDU+NG+6gG5Iy1PPV6EhK/koOyVB6uoq+oIOW0HMe59T2FBx9Xai847wyj7vK206FL2vgPdPn9lj6q8z9Uo7+Sjn2sR8HvdEwWjvaoBt69h4pXUNCT2UWmz4OqgNVaK5vgixJsArsz6mzodDtVMqzz8njrpTP1RYECAWMvvAROTN2J4+oQtbPud6c7M/JI7iQMZW6v5E5uQ0K7dGpe43ub+Px9ZVvSVbeZZf2OKhEYz0y3YoLc6bNxPa9e5BMpWBZQFhTEYAbLkmCYQHvtO7BftNnDAo1TNztyaMFKPU7l8K2uVPvOCrvOd9JpX79cG4PF8bZtSv150mlfF9WicdBeZY2stJuq1K/flTi81QlvoqWfr+QM1thYm5JBhqIiIiIxkmNalCjGsK7I9k2xa/AU+1OBx2q3fAE3ZBcDoUcXBL8jX74GweFHHqT2aBDqjcJPakPsxQiovExDAOtnXvRE+nNtpmWhbiahD6gKoMiy2hpaEKVL1CGURIREZWHIsuYM206drS1IZZMABYQ1VL9oQbTwJbW3Zg3fSZ8Hk+5h0tEREREVLEYaCAiIiIqAi2mQYtpiLRGAaSzr4pPgbvanRN0cDTk0OSHv6k/5KCndKRCqf6gQ28SRsoYZilERIWJxmPY2d4KTe+fAkc1dCS0JKwBX9OoDVajqa4BkujMcx0REdFEIokSZk+bjp3texGORbOhhiq4M9NPGHindRdDDUREREREw2CggYiIiKhEtLgGLa4huieabVO8Mtw1mSoOmaCDUyEH2S1DbpJzQw5JPR1wGPDP1E1H+iOiyc+yLOzpakdnb1e2zbSApJaEavRXhZElCdMbWxDw+fMthoiIaMoQBAGzmpqxY6+FSDwGWEBES6EKHiiSmK7UsGcX5k2fBa/bVe7hEhERERFVHAYaiIiIiMpIS+jQEtHShRw8MgItAQRa+ku/q1E1J+CQCqdgmZU3Nx8RlVcilcSuva1Iqslsm2YYSOhJmAOeM4L+AFoamiFLrMpAREQEpEMN+zS3YMfetgGhhmQ21KAbBt5p3Yn9Z8yCx8VQAxERERHRQAw0EBEREVWYUoccXAEXXAEXgjODAADTMJEKp6eqSPUmkexNQItpIyyFiCazjp4utHW1A0gHFywLSOoppAZMOSGKIqY1NKE6ECzTKImIiCpXX6hh+949iMbj2UoNQbgh94Uadu/EPIYaiIiIiIhyMNAwwZimibPOOgsbN24EAJx++un43ve+V9YxfeQjH8HmzZsdW97rr78Ot9vt2PKIiIgmg/6QQyTbpviUdLihxgN3dTrsICnjDzmIkghvrRfeWm+2zVCNTAWHRCbkkIShGuPui4gqm6pp2NXeimgiBgAQABimiZiWhGn2T1fj93gxvakFiqyUaaRERESVTxAE7NOUrtQQTcQBy0JYSyEouCGLIrRMqGH/mbPgVhhqICIiIiICGGiYcP7whz9kwwyVQFVVbN26tdzDICIimpK0uAYtriEysJKDX4Gn2gNvjQfuTCUHURbH3ZfkkuBv8sPf5O/vPzZwqooEUiFOVUE0mfREQmjtaINh9oeXkrqKpK72FWqAIABNtQ2or6kr0yiJiIgmFlEU05Ua2vYglkykQw1qCkHXwFDDLsybMZOhBiIiIiIiMNAwoWzcuBHf//73yz2MHO+88w40jSWoiYiIKoUW06DFNERb+ys5uAKudLihxpOu5hB0Q5TGH3JQ/C4ofheqZqTLy1umlZmqIpEOOfRwqgqiicg0TezuaENPpHdAm4W4lswJN7hdLsxomgaPi9XViIiIRkMURezbMi1PqMEFWZSg6jre2b0LB8zcB4rMj2+JiIiIaGrjO+IJYvfu3fjc5z6HVCpV7qHkeOutt8o9BCIiIhqBGlWhRlVEdmdCDgLgDvYHHDw1HrgCLgiCMK5+BFHILq/PwKkqkr0JJHsSMDVzmKUQUTkl1RR2tO1GUk1m21RDR0JLwrLSU04AQH11LZrqGsb9vEFERDRV9YUatrW1Ip5MDqrUkA41bGndhf1nzIIkjX9aOSIiIiKiiYqBhglg165duOCCC9DR0VHuodgw0EBERDQBWUAqlEIqlEJoewgAIMpitoqDt9YLT40Hsmf8bxXzTVWhxlQke/qrOKTCyWz5eiIqn55ICLvb98C00qEjywISWhKqoWfvo8gypje2wO/1lWuYRERE/5+9/w6T5SzvxO9vhc5hOk2OJ+kE5SMhcQQChEwSwQLD2saAefdnr3FYsP1iX7s/bF6vsYHF671e87PXeA1e23hfG4NZmWAEGCOCsnQUTpJOnBw6T+eu+P7RMz0z58ycrpmpDjPz/Vw6mpnuque5u7qquqr6rvvZNepJDXNzKFdrSQ15pYqg0w1JFFFWFFxZmMOB/kEmERIRERHRnsWEhg730ksv4Zd+6ZcwPz/f7lDW9dJLL13z2OOPP45IhGPoEhER7SSGZqCcKqOcKiODDABAdstwh5YqOYQ9cHe5IcrbH6rC6XPC6XMiONRV61s3UF2s1BMcKpkytIrWoBUisothGJhNziGdy9Yf0w0DJbUM3VjJNgr5g+iLdUMSeZcoERGRXSRRwlj/clJDGaZpIq/WkhpEQUC+VMJkfAGjvX3tDpWIiIiIqC2Y0NDBHn74Yfzn//yfUSqV2h3Khq5OaBgcHNwVyQwGBBjY6Asb+24htS+3vnFMrc/jt7acNhtX57wvO3M9aEd/Vuz2ZbBzl3nr9i0GJEv9WdVpr8/e/lq33ikVA8p8Cbn5lWMRV8C5VMWhNrSEK7D9oSpESYQn4oUnsnLHt1bRUF5KcChna8kOpr7y2jvzM9SeddjO/tq9Dq//uW3ntm6lrcZLwc7lZCUm60ug+etUVVUwOT+NSrUMLL1fVV1BWa0udS9AFEX0x/oQ9AcgALBj0Bhr751VVpa5tXe5lceBVluxtk7ZuxZfjwHR5s8ru2K3so+yM3L71mG7+rNvWVqLyd7+Ou+c1s69hrX9lF22tkatt2+3dxm0mpW4Wl0ibOP+RFHCSF8/rszOoKoq0I1apYaA0w1BAFL5HByyA/3RWAvj3fla9wljL/v2LK0/y279lmfX8XJr92VWPvdazfoSsGdZddI50WansstWl8FWl4i9r67Vn/+t3WY6c7+/u5e5FZ35vlCrMKGhAxWLRXzqU5/Cl7/85XaHcl1TU1PI5/NrHrvpppvaFA0RERG1QjWvoJpXsDiVAwAIkgB3Vy3BwRNywx1yweFxbLsf2S0j0OdHoM8PADBNE9VcFZVMpZ7ooBbVbfdDtJctFnKYjs/CMJaHmDBRUitQVw0x4Xa5MdjTD6fD2a4wiYiI9gRZkjDa34/LM9PQdB2aYaCgVhFwugAA85kUnLIDsa6uNkdKRERERNRaTGjoMA8//DA+9alPrTvEhCzL0LTOKb+83nATN998cxsiISIionYxdRPldBnldLn+mOyWalUclis52DBUhSDUEifcXW6Elh7TFR2VbAXlTBmVTK2Kg6HZce840e5mmibmkgtILabrj2mGgbJahm6sbEOhYAi9kW6I4vaHmiEiIqLGnLIDo30DuDw7DdM0oeo6SqoC71Ji4VRiAS6HAwGvt0FLRERERES7BxMaOsQTTzyBP/mTP8HJkyfXfX7fvn34hV/4BXzsYx9rcWQbO3fu3DWPMaGBiIiItIqOwnwRhfli7QEBcPmdK1Ucwm44/dsfqkJySvD1+ODr8QGofUmrFJRaFYelJAeloGz35RDtKoqqYnJ+GuXqShKSoqsoqeV6/UZBENHf3Ysuf7BNURIREe1dHpcLI739mFyYg2maqGgaBEGER5ZhwsSV+VncMDQCt5PVk4iIiIhob2BCQ4f4+Z//+Q2fe+CBB/CJT3wCZ86caWFEjZ09e3bN34IgcMgJIiIiupZZG6pCyStYnKwNVSHKItxdLrjDS1UcQm7Iru0dmgqCAFfABVfAha6RWileXdFRztQqSCxXcTCNzhsHkKgVcsU8phZm1gwxUVarUPSVxB+X04XBnn64lspbExERUesFvF4MxLoxk4gDAMqqAkkQ4JQk6IaOy3MzuGFoBLIktTlSIiIiIqLmY0JDB4vFYvjYxz6GBx54oN2hrOvqISfGxsbg9/vbFA0RERHtJIZmoJQqo5RauUvc4ZVrQ1UsJTi4u9wQxO1XcfD3+uHvrR2jmIaJymKlnuBQTpegK/q2+iDqdKZpYj4VRzKbqj+mGzpKagW6sbL+d/mD6Iv1cogJIiKiDhAOBKGoKhLZDACgqFYhCm44RBFVVcHluRkcGhzedtUzIiIiIqJOx4SGDuR0OvG+970Pv/zLv4xgsDPLvGazWczNza15jMNNEBER0XaoJQ1qKY/8bB4AIIgCXF2upWEqPPCE3HB4HdvqQxAFeMIeeMKe+mNKUVlKcKhVcuAwFbSbaLqGqflpFMul+mO1ISYqgFmrViIIIvpiPQgFutoVJhEREa2jNxKFoqlYLBRgmkBeqSLkckMUBBQrZUzGFzDa29fuMImIiIiImooJDR3E4XDgrW99Kz784Q9jcHCw3eFc17lz5655bDmhQdM0PPLII/jRj36E559/HgsLCygUCggGg4jFYjh69Cjuu+8+3HvvvfD5fK0OnYiIiHYI0zBrw0RkKsCVLABAcklLCQlLVRxCbojS9u4md/qccPqc6Bpeb5iKMqocpoJ2qEq1gvG5KWiaCmBpiAmtCkVbSdpxOpwY7B2Am0NMEBERdaTBWA8UVUO5WoFpmsgrVQSdbggCkM4vwut2o7sr1O4wiYiIiIiahgkNHeJDH/oQ3vve96K3t7fdoVhy9XATAHD48GF8/vOfx1//9V8jkUhc83wqlUIqlcLLL7+Mhx56CKFQCL/yK7+Cn/3Zn4XT6WxF2ERERLTD6VUdhfkCivOF2gMC4Aq6loaq8MAddsPp295xxdXDVBi6gepiFeVMGZV0LdHBUDlMBXW2xUIOUwszME0TAgDDNFBUymuGmAj6g+iL9UASOf42ERFRpxJFEaN9/bg0MwVV06AbBgpqFYGlZMSZRBw+lxtet7vNkRIRERERNQcTGjrEb/zGb7Q7hE1Zr0LDb/3Wb2FhYcFyG9lsFp/85Cfxf/7P/8HnPvc59PWxRB4RERFtkglUF6uoLlaxOLEIoJaQ4A674YnUhpZwdbm2VcVBlMRaWxEPcKD2mFKooryU3FBJl6GWVDteDZEt4ukEFtIrCcaaoaOolGGaRu0BQUBftAfhYKg9ARIREdGmyJKEsb4BXJqdhmkYUHUdFU2DW5ZhwsT4whwOD41AkpikSERERES7DxMaaEvWS2jYTDLD1W295z3vwec//3kcPnx4u6ERERHRHqcrOooLRRQXigAAQRTg6nLVExw8EQ8k5/Yu9jr9Ljj9LnSNhAAAWkVDOVOqV3Co5ioAR6mgFjMMA9PxWSwWcvXHFF1FWa0AZm2FlGUHhnoH4HHxLk4iIqKdxOV0Yqi7B1ML8wCAkqZAFkTIkoiqqmAiPo/9/Z09hC0RERER0VYwoYE2TVEUXLlyZcPnI5EIHnzwQdxzzz0YGRmBw+FAKpXChQsX8Mgjj+Bf//VfoetryzTH43H88i//Mr7yla8gEok0+yUQERHRHmIaJiqZCiqZCjLIAAAcPseaBAenf3vDVMhuGYH+IAL9QQCAoRmoZMooZ8oop0uoZMowdWY4UPMoqorJ+SmUq5X6Y2W1iqpWhbD0t8ftwVDvAGSJIrptvgABAABJREFUp4FEREQ7UdDnR7QrhNRiFjCBvFZFl+iBKACLxQLimTR6wryuRkQkBPwQR4ch9MYgOF2AAJiKAjOegjE+CeTy7Q6RiIg2QTBN0/Yrq5/97Gfx2GOP4dixYzh69CiOHTuGG2+80e5u2ua9730vTp48CUEQamPSCsK6FQvs9uSTT+IDH/jAmsfe+c534tOf/nTT+17tzJkzeNe73rXuc+9973vx27/92/B4PBvOf/HiRXzsYx/D888/f81z99xzD/7X//pfdoW6ZWpVx3JFXmo/h1usb29qhW9M5+AXczuZ0HiSppPdUn3b1ip64xmoTfbOti6Iwtp/gn1bimmatX+GCVOv/dwwDtt6bQ/JLde3bb2itTucHc7a9lcsFnHp8mWoam3oE9M0kC/koSgrQ6FEImEMDgzaul7vRlw66xOcK9u1qXC7pvbg9tkEq7ZtcNveMUzTxOUrl1EslgAATqcDwUAtqVYQBNxw6BD8fr+dPdrYFlmx7f2d27WybVeqdoREtHMIAiCJEBwOqNkF5J//HrTFJAATUiCCwK33wxkdgKkqgG7WK9l1PG7X1HI7ZNvY6dzuVdt2pfH0dhBFCC5Xa/qyUVNuzblw4QKef/55vPDCCwAASZLw/PPPQ5Z3z51Ae/lC4NmzZ695TBRFfOYzn8Hb3/72hvMfPHgQf/u3f4uPfOQj+P73v7/mucceewyPPPIIXve619kV7pY4XBxzsBMJggCnh+8N0W4jCAIcnt1zjEC0HkFYSpAQsWdqpAmCANnjaHcYu14qlcLE5ARMCZAlBzRNQyFfgg4T0tIXVf39/YjFYu0OlXYBQRAguLhdE+02giAA3LZ3DAHA6MEDOH/+PHRdhwoTZV2Fz+cDAIzPzeDYsWO76josbY0gCICHw4zR3mIaOqrzV5D5/v9GefwUrv5SdvHxh+AeOYbwa38W7qHDEMSdda2Z2zXR7lTbtje+UZyadDl1amoKQC1jGAB6enoaHkR/9atfxezs7JrHfu3Xfq0Z4dmiCYUtdoyhoSH89E//NKampjA1NYW5uTl8+MMftpTMsMzlcuG//bf/hne9612YmJhY89xnP/vZtic0KLuwQsNOTsFhhQbqXHv3s8AOjlUVGlSbKzTs5H0etdomtmOhVsVBFMV6FQdbIzFXqjcYhrEjdzECWKGhVUzTxMzMDBbi8fpjqqogX8jDWKoAIkkihoeHEQgEoFdb+V7swJW3g3XCZxorNBBtTydsx+vajRUahFU/TezajyQZwHBvP66MjwMAikoOkmHC6XCiWlFw6dzLOHjgwA69IWuXvmktJKy6k9u06U7unbgm0R4jCIBDQunSScS/+t9h6uqGk1Ymz2Luf/8eut/xH+E/ek/tM7DTv+9hhQbasTp822o3VmiwrCkJDalUqn7AbJomQqFQw3m+8pWv4LnnnlvzWKcmNHzoQx9CKpVqdxhtc+LECZw4caL+t67rkKTNZzL6/X781m/91jXv85kzZ3DlyhXs27dv27Fu1flnCshnNjqZb7wDbv1Bfqtjsu9DyEpct90fhdMjQa0YeP572932WrmsrC2nVvdnhbWYWt2fFbt9mVtl13re3O3lyP0DcHpkqBUdL31v1lJ/Vtm1PAVbD7rtacv6a+u8zwY79y2t3I436ktySfBEPPBG3PCEPXB1ubZ10VgQBAhybX4JEnRVRzldrv+rLlavGqqiM9/jsfsPQPY4oFc0jH/vUtP6Wu7Pjrbs3K6s2G5/uq5jcmEahVKh3paiqShrlfosTocTw32DKBfSKCO95b62phP35/ax77Oh8/Z3G4nedQCCywFT0ZB66pKltlp9TtSZn2nWtHqdsg/XA6s64dh7vf78d91Yq8ygaCg8dcbW1tfrzw7rLgNBgBztgtwfgxwKrO1VVaEtZKDOJWFs4QugTlynlmOSAXRl0ohnap/zSUFAl8sNURBQBiCcfAn90UYVmjrvM3snx9Qp1wPd978KgscNs1JF5XuP2tJTq4+XreqUZb5ZOzVuO9m9DKS7j0NVsw2TGeoMHYmv/T+Q/VG4gv3QHn0anbn/qZHvf22tMkOlCu17P7C59avt1PXcTp23zdiF+5/OIt5/X60yQ6UC83vfbzyDHcJhCK860Xi6DtOUhIZSqTaGm2matRLxTqel+VZXPejkDOLXvOY17Q6ho2wlmWHZ/fffj6GhIUxPT695/LHHHmtrQgMRERFRI3pVR2GugMJcAQAgSAI8YQ88ETc8EQ88ITdEWdxy+5JDgr/XD39vbQxkQzdQyVRQSpVQTpVRyZavSnCgvaCqKpiYnURVrX0pY5pAWatA1VYu2vm9Pgz09EPaYeVTiYiINksKeOE6MgrB5UJl6hyyTz0BLTMP09AgunzwjN4I39F74B06BnUugeqlmc6/C3cTesIRlCoVFMolmKaJolKF31lLsp3PpODzeBD0+todJhFRc/l9kLpjiP/DX1hLZlhm6Mj84O8x8IFPQOgKwlxcbF6MRES0LU1JaKgslcVYLpORz+ctz1svrUF7giiKOHHiBL785S+vefzkyZP4uZ/7uTZFRURERLR5pm6ilCyhlKwl90IA3F2uWnJDxANP2A3ZtfXDb1ES4Y154Y15ASwnOJRRSpVRTpVQyVaY4LDLlStljM9NQtNrlcRM00RJKUM3VobtiYYi6A7HOjpBnIiIyA5SyA/3sf2ozl1C9tGvQC9m1zxvlAvIZxeQf/H78O6/HaFX/RQEp4zKufFddbPgUE8vLk5PQtN1qIaBsqbB63AAACYW5nB0ZAyy1JRLwEREHUEcGYKWTaB8+flNz1uZOgslMQ1pdAj6i0xoICLqVE05mnU6nfWkBgCYmJhAuVyGx+NpRne0w91yyy3XJDQkk8k2RUNERERkExOoZKuoZKvIXM4CAJw+GZ6oF55wrYqD02etktl6agkOPnhjtbvu1ktwABMcdo1cMY+p+WkYpgEA0A0DJbVUT2IRBKC/ux9d/mA7wyQiImoJ0eOG+8gYKpNnkX7k765fdcE0Ubp0Elouhdhb/gNc+4dQvTS98fQ7jCxJGO7tw/jcDEwTqGgqHKIIhyRB03VMJxIY6+tvd5hERE0j9kaxePJfgKVzpc3Kv/hvCL/639kcFRER2akpCQ3hcBhzc3P1v3Vdxz/+4z/i53/+55vRHe1w4XD4msfSaSvj/BIRERHtLEpRhVJcxOJk7c4P2S3XkhuiXngjHjgDzi3fWb9RgkM5VUYpVUKVFRx2rEwui5n4LMyl20k1XUNJrdSG+AMgSzKGegfgcTOBnIiI9gbHcA+0YhaZH/y95SEklMQEso99FaF7/x2UmTjMitLkKFvH5/agNxzFfDoFACioCkKiG4IgIFPIIVTwI+QPtDlKIqLmEJxOaLnUlufXckkIjq3fbEBERM3XlISGsbExzM7OQhCE+hASf/zHfwzTNPHud78bfr+/Gd3SDuX1eq95TNO0NkRCRERE1FpaRUN+roD8XAEAIDpEeMOe+jAV7pAbgrj9BIcorkpwSJZQyZZ3Vbnl3SqeTmAhHa//reoaSurKe+d2uTDcOwRZZilpIiLaGwRZhtwdQvaJf4ZpbO76UenScwje+QCcfTFUx2ebFGF7xEJhFCtl5EslmKaJoqrA73QBAKYSC/B7PBx6gohoXRyuj4io0zXlKPaOO+7AY489BqA2rqsgCFAUBf/1v/5X/NEf/RGGh4cRCoXgdK5kvZ0/f/6adj7wgQ80I7zrete73oUHH3yw5f3uZblc7prHQqFQ6wMhIiIiajNDNVCMF1GMFwEAgijAvTQ8hTfqhTvshiiJW2p7TYLD4aUEh3StekM5WUJlscIEhw5imiZmE3NI51Yql1U1BRW1Wv/b7/VhqGcAori1dYKIiGgnkvsigK6jfOnk5mc2DRRffhyBm+5DdXIW2Fp18o41EOvBhelJGIYBRdeh6BqcksyhJ4hoVzOrCuRgbMvzy8EoTGX3VO0hItqNmpLQ8Ja3vAV/+qd/CgD1Cg3LP3Vdx/j4+IaldM2lMnGmaeLpp59uRngb9isIAu66666W9blTmaaJxcVFpFIpZDIZiKKI48ePb7m99YaXWG8YCiIiIqK9xjRMlFO1qgrpC+lagkPIDU90pYrDthIcun3wdi8NUaEZKKfLKKdKtSEqmODQNoZhYGphGrniSuJvWa1A0dT636FAF/pivRC3OEQJERHRTiUGvKjMvAxT3dqXT5Xx0wje/kaIbjeMUsXm6NrLIcsYiHVjOr4AACiqKhyixKEniGhXM+MpBG55HTI/+kfA3HymWuDW+2HGk02IjIiI7NKUhIb9+/fj7W9/O772ta+tSVxY/btpYXw7K9NQa33rW9/CRz/60TVDQoyMjOC73/3ultt84YUXrnns2LFjW26PiIiIaLcyDbOWdJAuAzAhiAJcXW54ox54ot7tJTjIInw9Pvh6agkOuqqvqeBQze2uC/6dStM1TM5NoVgpAagNC15WK1D1lWSGWCiK7sjW70AiIiLayQRJhFEtbXl+fWleQZbsCqmjhPwBLBbyHHqCiPYMfWIKzv2vhufAbShf3Fz1HvfIMThjg1B/9HiToiMiIjs07ej1d3/3d3Hq1ClcuXJl3WoM6z12dQLDRlUcmoHJE9aMjIysSWYAgMnJSSQSCXR3d2+6PcMw8OSTT17z+B133LHlGImIiIj2CtMwUcmUUcmUgYtpWxMcJIcEX68fvl4/AEBXdJTTJZSSJZRTJSj5aoMWaLMUVcX47ASqS8NKmCZQUkrQDL0+TX+sF6FgqE0REhERdQATEMStX9IUJEetGWOXjTexCoeeIKI9pViCnkgg8pqfxez4aZiaxQo+oozIa98LI52BuZhvboxERLQtTUtoCAQC+OIXv4iPfOQjePbZZwG0NkFhszo5tk5y8OBBOJ1OKFeNKfXNb34TH/zgBzfd3ne/+13Mz8+veSwUCm1rCAs7GBBgYKN1ovG6Yn1tsiuRxs6YrGgct9X+rCwBc9VPAxt9KWNtWQoWIrPWkpWprC0F+94b+xKzOnV9saMvq6zF1Jn9tXY9t6ZRRBtv21ezugzsacvKsrTOnuVp52dMZ27rnbdddeZy2qAtAyhlqihlqsDF7NIQFS54o95akkPYvfUEB6cEf18A/r5amWKtqqGUKqOUrA1RoRZVCLD6uX19gq17qZ3xHpcrZUzMTULTNQAiDNNASSlDMwwAAkRBxEBPPwK+wJrhvu3bruw8bmntsaKVqazvWVr52dDqZb71pb56uzYhWI7KPna9x60+lrLG2nvTecct1pZTa28esdqbtc+ZVq/nrV2eV/dmbvH1Wp/LnvXcBGBWVTgiA5Z7vpoj3AsAMBStYY/2rimtW6dk2YH+WM+aoSdkUYIgiEgX8ugqBCwPPdHqz+zWb3u7nT3L0/r+x57+Wr/eWWPXZ629n46tPkawh93HCPrpl+F81SvQ866PIv7V/9Y4qUGU0fOTH4Gr/yC0x59ZerDVVyi3tgzWm8ved7jV+w17dOIysK51y6rVt3a3fv+zc29eb923hTtTU+uLxWIx/N3f/R2+/e1v45//+Z9x6tQpJJPWxyJi1YTO43K5cN999+Hb3/72mse/+MUv4r3vfS+cTqfltqrVKv70T//0msff/e53w+VybTtWIiIior2uNkRFBeV0BakLWEpwcMMX88Ab9cAd2nqCg+ySERwIIDhQuxiullWUU2UI0m49dWqeQqmIyfnaXZQAoBs6imqp/rckSRjuHYLH7WlnmERERB1BTWTgveUQnLEhKMnpTc/vO3IPtMwiTEVtPPEOtnroCcOsJTVcO/TE7hx2g4j2HrNYgvr0C/C+4lYMvP8PkP7h36N86Xms9xWhZ+wWhF/z03D1HYD2zAswc42rMwi93RBHBiFGQhAcTpiGAbNchjm7AH1iGqhwiEYiomZq+oBpgiDgzW9+M9785jcDAFRVRS6Xg6Io9Qt0pmni13/913H69GkIggDTNCEIAv71X/+12eFdIxgMtrzPnead73znNQkN09PT+B//43/g13/91y2384d/+Ic4f/78msfcbjfe97732REmEREREV2lluBQRjldBlBLcPCG3fBEPfBGvfCE3RDErSUkODwOOIYc9b9ll4zeW3rrFRz0qn6dufeuxcIipuZnsHyhTdN1lNQSDLN2ruSQHRjuG4LLyYRfIiIiANAXi9ALJfiOnoDyoy9val4pEIF76AaUz11pUnSdpfHQE33tDpGIyDZmJgv1sWcg33gY/T/zO1CzceRf/DfouRRM04QciCBwy31wRPqhp1LQHn+mYTKDONAH8fABiD4fyldeROHkQzBKOQiyA47YEIK3/QQcB8ZgLMShnzoH7PJkOSKidml6QsPVHA4HotHoNY+vd2f/4OBgK0Las6anp3H//fdf8/inPvUpvOtd79pwvvvuuw933HFHfSiRZX/+53+O7u5u/NzP/dx1+9V1HX/wB3+AL33pS9c895GPfAT9/RzHj4iIiKgVTMOsDRuRKiOFNARJgCdcq97gjXng7tp6goMgCuga6ULXSBcAoJqv1pIbErUEB1NnNbZMLouZ+Ez9b1VXUVLL9Up1bpcbw71DkOWWn7YRERF1NHUuBc/BO1G6/AKqM+cbzwAAgoTwq98Do1yBllpsboAdwiHLGIh114eeKKkKHKIIQRCRKeQQKQUQ9PraHCURkX3MQhHakyeh+30QR4YQuuPtEJaqQZtKFWY8DfXUYzDzhYZtiQfGIB+9AbnnvovFJ/4ZanrummkyP/xH+A7fhejrPwD5nldAe/IkUGa1BiIiuzXlytg3vvENXLhwAUePHsWxY8cwMjLSjG6ojT7+8Y/jPe95DxRl7VhUv//7v4+nnnoKH/7wh3HgwIE1zxmGgSeeeAKf+cxncO7cuWvaPH78OD74wQ82M2wiIiIiug5TN2tJB8kS8DIgyiI8ETe8US+8UQ9cXS4IwtYSHFwBF1wBF8L7wrVKEZlyPcGhsljZycMcbkl6MYPZxGz976quoKxWgKVkhmAgiJHREchOGaZuQiurMDSjXeESERF1FHU+BanLh+jrfx6p7/01qrMXrju9IMkI3/c+OLtHUT51yfJxh+hzQ3TULp8aqgajuPO+pLre0BMziTgCI2NbPr4jIupUZqEI/ezL0M++DGDzY8qLwwOQj96A5Hf+Crmnv7nhdIIkQ80uIPW9v0Hk9e+DfNft0B57GlC1bURPRERXa0pCwyOPPIJvfnNlJ+/3+/Hoo4+uW4WBdqYjR47gM5/5DH7zN3+zPnTIsocffhgPP/wwDh48iIMHD8Lr9SKVSuHMmTNIJpPrtjc6Ooo/+7M/gyhubQxnIiIiIrKfoRkoxksoxksATIgOEd6IB56oF96YF+7g1oZBEERhKUnCCxwGdFWvJ1KUEiVoJaVxIztYKpvCXHK+/ndVq9aSGQA4Ay707+/HwVsOrzk2Ng0D5WQRxfkCqos778sUIiIiu1XOT8F9wzCib/oFlC8+h+JLj0JJTK2ZRnC44T14HP4b74XkCaJ85gr0Qvm67QoOGY7eKBx9YYgez5rnjHIZ6nwa6nwaprZzvqy6eugJTdchSxIqqoLkYhbdoXC7QyQi6hyyDOnYYWQff2jDZAZH9wiCd7wJgZteC9G19rNCfvXd0F+6CHM+Xk9YJyKi7WlKQsPU1FS9TCoAuFyuhskM586dYzbwDvOWt7wF1WoVH//4x1GtVq95/uLFi7h48WLDdo4ePYq//Mu/RCQSaUaYRERERGQTQzVQWCiisFAEAEhOCZ6oB76oF56YFy7/1hKYJYeEQH8Agf4AAEAtKkvJDUWUUiUY6u6pTJDMJLGQWqj/XdGqqKgVSE4ZXWMh9I8OIiqpyP7wH6AsjMPUqhAcLrj6D8J39NXovmUA1WwJqXMJVmwgIqK9zTRReXkSjsUiXH2H4T10HGp6DlpmHqahQXD54R44CAgCtHgWpZcvwqhce/1qNUd/DK79g4Cuonj+aZQuPgu9VBueQvaF4Dl0J3wH74RzpA/VyzNQ51OteKXb5pBl9EWimE0mAABFTUGXVPsCbi6dRDgQgCxxiCsiIgAQh/phwkD20X+65jlBciD2tl9B4KbXQE3PIfPDL6F44RkYlTwE2Qln7xi67ngLPMdvg1kqQ3/2RZi5fBteBRHR7tKUI9V4PF5PTjBNE9FotBndUAd48MEHcfToUfz2b/82XnrppU3N63A48L73vQ+/8Ru/AZdra3f3EREREVH76IqOwlwBhbna+KMOt4yR1ywNk2CYEMStJSw7fE50+ZzoGg3BNE1UspVackOyhEqmvGOHp4inE4in4/Vyp6uTGcIHI+juckN+6ktIXj02a7WM0oVnULrwDJzdIwjf9z5039qH5IvzuyrZg4iIaCvU+VRtCIqgD46eMOTQPgiCAFM3UJ1YgBbPwNT0hu04R/rgGu1H/rl/Rf7U92Fq6prnlXIBSnIauWf+BYFb70fglvsgyDLU6YUNWuws4UAQ6dwiKooC3TBR1VW4JBm6YWAulcJwT2+7QyQi6gjiyCAKp38Io1pa87ggO9H3Mx+Ds3cf5r/8X1E6/zSuPjkt59MoXzwJuasb3W/7j3CfuBPakydhZhdb+AqIiHafpiQ0FIu1O7ZM04QgCPBcVZ5tPUePHsXJkydZpWEHOnz4MB566CE88sgj+Lu/+zs8/fTT61ZsWBaLxfCWt7wFH/jABzAyMtLCSImIiIiombSKBlOvXdDRqhqmHpuCN+at/5Ndmz/9EAQBnrAHnrAH0Rtqw1OUU7WhKUqJItSS2riRDrCQiiORSdT/rqhVVLQKBFFAaH8IPSEXxCe/BFW5/nASSmISia9/Ft1v+4+I3tiDxAvzOzbBg4iIyE56rgg9V9zSvHJPBK7RfmQe/SeUXn7yutOaqoLcM9+CXsoj9Mp3wKxUoSWzW+q3lQRBQF80hvG5WQBAWVXhFCUIgoBkLotYVwge3nBERHud1wMxGETh1A+uear7bb8KZ+8+zH3xd6HEJ67bjLaYwNzf/z763v3b8LziVqg/fgooc+hAIqKtakpCQ6m0krlmmiYqFe6o7XD33Xfj5Zdftq29oaEh29oTBAH33Xcf7rvvPiiKghdffBHT09PIZrMolUrweDzo7e3FoUOHcPDgQSauEBEREe0BWllDbiqH3FQOAOAKumrJDd1eeCIeiJK46TYlhwR/XwD+vrXDUxQTRZSTpY4chmEuOY9UdqUkdVmtoKrVEoDdER+GRoegP/IFGA2SGZYZ5QJS3/k8et71UXiiPpSTW/vyhoiIiAAIgGu0F8VzjzdMZlitePbHcEYH4B67cUckNACA3+NF0OdHrliAYQJlTYXXURsybCYZx8HB4TZHSETUXsLS0Olabu2QQs7eMfhvfDXm//FTDZMZ6gwNC//njzH8S38Ccd8ojLP2fbdDRLTXNCWhQZIk6LpeK+9mmpicnKxXa6Ddz+l04s4778Sdd97Z7lCIiIiIqINUc1VUc1VkLmcgiAI8EQ+83bXqDe4u95bavGZ4ikwFpWQRpXgRlcVK26sXzMZnkc5l6n+X1TIUTan/ffCW/fDlppEt5TbVrraYQGXyHHz9Y0xoICIi2gY50gXR7Ub+9A83PW/+9A/gPXQnpFAAenZnjJHeF40iXyrANIGKrsElOSCJAvLlEjKFPML+QLtDJCJqo6UTyKu+ywoefxOU5AxKF57ZXGtqFYvPfAuRe38GxssXAb3xEEhERHStzd8SZUEgsPbAt1wu45FHHmlGV0REREREtAOZholSsoTkuSQmfzSJS9+5hLmTc1icWoRW2dowEoJQS5KI3hDD8KtHsf8NB9F3xwCCI12QPU3J5d6QaZqYic+sSWYoKWuTGUb3j6FveBDFc49tqY/iuUfhCnkh+xzbjpeIiGivcvRHUZk5Dz2fajzxVbTMAqrzV+DojzYhsuZwyg7EusK1P0ygrK4MGzubTMAwOq/aFRFRq5hK7VxUDq7s1wWXF/6bXoPcsw9vqc38C/8GiALEwT5bYiQi2ouaclVveHgYyWQSgiDUqzT83u/9Hnp6enDjjTc2o0simwkwt5HvY1q+FbBx1RK76ppYj8kKO+PeXFzGBi0LFnu0byk0bsnqMrAWk5X+7KuC07nrSyPW4rbSn13vSzv6s8KuLWZ767lQ/2lAtNifndv6zlye1qO26/3rvM+0WluN42r9emClrZ26nKxNKaz6/8q2ba0dQzGwOFvA4mwBAOD0O+Hr9sIX88Ib9UCUtzA8hVNCoD+IQH8QAKAUFBQTRRQTJZRSJZi6uSbixqztp2rJDLPI5hcBCDDNWmUGTdewnFPe3zOAnqE+6KU81NTMpl8bAFRnL8DUVDgCbihF7bpRNY7bvi3Gyr7a3vXOzr2nfUffdrF2XGbnvuX6UxoQLS5x+46T7PqE7NTjCCvLyt7tqjFr/bX2HMXqfsqKVhfvsbasrLD/KEFAbXmsfw3EvuOIVtds3czylPxe5M+d2XJflYnTCN72Rpi2vMrWrJ2xUBjpfA6arqNqmHDqBpySBEXTsJDNoi/S2Qkarb7e0vo12OpnqJV9dWtjb/2RVGuPk1p5jGDXsRvQqddI7Fw3bTzvLZVhLC4icMt9qEyeBQA4u4chOt0onX96S9EZ5TwqUy/BGYoAk6vP/ba6DK6db/e/x43ZeT279bXmO+881C6t/ZbB+lTWdN7ytGJnRt1YUxIabrrpJjz33HMAUB9qYmFhAe9+97tx7Ngx3HjjjQiHw3A4Vu4kmpubu6adP/3TP21GeNd199134xWveEXL+yUiIiIiohVKQYFSUJC5kq0NTxF2wxvzwtfthSe0teEpnH4nnH4nwvvCtQoR6TJKiSKK8SKUvNK4AQtM08TUwjRyhcWlv5eTGZaqTggCBrr7EfQHIcoijGppW/0ZagWi1JTCe0RERHuC4HDArG59+CZDKQOOnVUtSRRF9EVjmI4vAABKmgKH6K5dw82kEA12wSG3troVEVGn0Cdm4L/xXqS+9zcwygWILl/t8crWhxbSy3kg3GNXiEREe05Tjkzf8IY34Itf/GL97+WkBtM0cebMGZw9e3bDeU3TrP/8sz/7s2aE1xATGoiIiIiIOodpmCilyiilyki+nILklOCNeeCPeeHt9sLh2fyXCIIowBerVYDoPtoNraKhmCiilCihmCjCULdWbnkmPnNVMkNpqTIDAEHAYM8AAr5A/XVB2t4XIIIowzTsScYgIiLai0zDgLCdz2NJ3pFjoof8AaQWsyhXq9ANE1Vdg1t2wDRNzKYSGO3tb3eIRERtYczMAUcPInzvTyP1nS/AXEpOF2QnTKWypTYF2QlwSB8ioi1rSkLDXXfdhVtvvRUvvvhiPZEBQP335b8bsTqdXQSh9YVkiIiIiIhoc3RFR362gMJVw1N4u5eGp9hCxQLZLaNruAtdw10wTRPVxSqK8SKKiSIqGWsXrWbjs8jmswCWkhmUEjSjlswgCAKGeofg8/pWXkdVg+wLQXS4YaibvzAmeoMQnG5oytbvFCIiItrrzGoVcnjr45o7wn0wqqqNEbVOf7Qbl2enAQAlTYVTkiAKIjL5HPoiUbgczjZHSETUBroO7dRL6HrFA9CLWRTPPQYAcHaPoDJxegsNCnD2jACprVcDIiLa65pWm/STn/wkPB4PgJVEgeVKDRv9u9r1prX7HxERERER7UzLQ1PMPDWLi9++jKknppG+lEYlV91Se4IgwB1yI3pDFCOvGsGBNx5A3219CAwEIDrWP4WaT84jnUsDWFWZYXUyQ9/aZAYAKKXKAAR4Dt6xpTj9h++GoWqoZMpbmp+IiIgANb4I3w13QRA3f9+XIDvhO3gHtETW/sBawOt2I+RfqhxlAhVNqz83n061KywiorYzZuehnjqH8Gt/FuHX/iyqC+MIHn/jltry7LsFjlAPjOlrh10nIiJrmpbQcODAAfzP//k/EQqF1lRo6FSdHBsREREREVljGiZKyTIS51KY+OEkLn73Euaem0NuJgetqjVuYB2SU0JwKIj+4wM48MaDGL5nGOEDETgDLgBAPB1HMpusT19Wy/VhJgRBwHD/MHwe3zXtmpqBYrwE37FXbT4oQYL3yAkUF4qA0drKdkRERLuJMp+G4HTDs++WTc/rOXA7IMlQ53ful/89kQiWL4tWdA2GWSuJnsnnUVU5rBUR7V3GxBS0p5+Hd+hmuHrH4DvySkj+0KbbCd7xFhjJJMx8wf4giYj2iKYlNADAnXfeia9//et473vfi2AwWB9uYqN/V2s0fTP+ERERERHR7qFXdeRm8ph7bh6XvnsZ4z+cQOJcAqVUCeYWEgEEQYAn4kX30W6MvXYMo/eNYeC2QfTt64MkSygrFWhLY6xiqTKD1+3dsL38XAFyMIrAra/fVBzBVzwA0eVFcZ7DTRAREW2LokJLZBB8xVshersszyb5w+g6/mZo8SxMTW9igM3llB0IB4IArq7SYGIhk25fYEREHcCIJ6D+8AkoTzwD6Aa63/qrgGD9azXfkRPwHX4F9PHpJkZJRLT7bb6W2ibFYjF8/OMfx+/8zu9gYmICs7OzWFxchKIoaxIIPve5z2FiYgKCINSHpvjkJz/Z7PCucfTo0Zb3SUREtBO5AzKcThEQBGiqgUpOBXMDiajTVXNVVHNVpC9lIMoivFEPfN0+eLu9cPo2P060y+fC/lv2Y/8t+6GpGuYn5zF9cQrTl2cQdnetW5lhNa2oIHspg/Adb4Zp6Cic+kHDPoN3vgWBm+5F6qUEtMrO/QKFiIioU1QuzcB7y0F0P/BLSH7789Dz1/8iXw7GEH3TL8LUgMqV2RZF2TyxUBiZfK6W0KBrcMsOiIKAdC6HvnAELsfmj5GIiHYTM5mG+uRJeF55B3oe/A0kvvZZmMuJ7BvwHTmBngd/HfqVCZjz8RZFSkS0OzU9oWGZKIrYt28f9u3bt+7zX/7ylzExMbHmsXe+852tCI2IiIgskhwCokNedI+44V4qtb5MLStITlWRnCxCrRhtipCIyDpDM1BYKNaGbQDg8DnqyQ3eqBeivLmCdrJDxtCBIQwdGAIAlBZLyM5mkJ3NIJ/KAxskfRXm8oAoIHTnA3APHUPx7I9RnjwDmKv2paIE79gt8N34ajhiQ0ifT6KUKG7pdRMREdFVNAOl01fgPTaK3p/8dRRefhLFlx6/JrFBCsTgO3oC/sN3waioKJ25Auzg6gzLnLIDIX9wJalBU+F1OLFcpWGkp6/dIRIRtZ2ZXYT69PPw3XEnXL/437H4zL8g/+IjMJXymuncozeh684H4DtyN/Qrk9DPvNymiImIdo+WJTQQERHRzhYecGP0li4Ihob86R8g9cL3oGYWANOA5A/Df+O96L79Teg72Iu5C3nMX+DYgES0s6hFFdliFtnxLARRgCfiga/XB1+Pb0vVG7xdXni7vBg4OgitqiE7X0tuyM4vQle0NdMWZnJQi1UEBnoQfv370FUpQFmYgKlWITjdcPXug+DyoJIsIvPCPJR81a6XTURERACgqCidugznYDd8N7wS/pteAzU+Dr2QBQQBki8EZ+8YjEoFykwaymwC0HdPInd3OIxsYaMqDVE4HY52h0hE1HZmKg310acg7h9D9P4PInLf+1GeOA2jUoAgO+HqHYMj0g89lYb27Asw5hbaHTIR0a7QUQkNgiC0OwQiIiJaR2zEi9FbQsg+/S/I/ODvYVZLa543KkVkfvD3yPz4ywgefxP6f+KDkJ0ips/k2hQxEdH2mIaJUrKEUrKExJlErXpDjw/umBv+mB+itMnqDS4ZsdFuxEa7YRom8sk8snO1BIdyrnZHTzVbRTVbheSW4e/zQ/aNQZAEmDqQX6iiuJCCXt35d4ESERF1LN2AMrkAZSoOORqAHO6CHArXnlN1lM9egZZe3LDq0k52dZWGqq7CIzthLlVpGO7pbXeIREQdwSyWoJ86C/2l85CGBuDu6gcCMmAYMLNVKKcfB3L5dodJRLSrdFRCg8mBt4mIiDpOsNuFkZuCSP/wH5D90ZevP7GuIff0N6HnUuj5qY9CKeuIX2ZJdCLa+dSiipmz05iYnYDoENEz3IOesV707euD1+/dVFuCKCDYE0SwJ4iRW0dRKVTqQ1PkEjnoFQ2L41nsym9LiIiIdgLThJbMQUsutjuSluoOrVRpKGsaXFKtSkMqt4jecIRVGoiIVlM16Fcm132Kt+4SEdmrYxIafuqnfgr33HNPu8MgAgCYEGBu67DD6ryNL1LbdRlbaPFhlGkxcmtxCfWfJta/G9L6crJniVqJ2+oysNrj9qfYjMax29mflWVlrT9rU9n13ljdrqz1ZmUZ2LfUrS3zWn8DN/hQuvBs42SGVYovP4Hsj7+C/rvfifhEBUaDUqwGBNi7nltZ6vb1Z603u/b5Vtdfu16f1f25XS3Z+fmxm9cDa1Pat5xqrW12CmPdz237PmM2sy+7fjuNlStljM9NwTABXTEwfn4KZ8+cB0wg2hfBDTcewtCBIQSifgutreX2u9F3Qz/6buiHrurIzi8iM5tBdi4Drao1bqAhe7YFq221Og3DzmMEa1uMXfuW1u7Pt3f8s/p4XLBtGVifyko79h2f27m2WGup1ecWVtjzHtu3lsPiOXprjyOsr7+d9x5f3d96R+utvo7Q6iNKa/vhVp+LN2bvmrK2NYfDgaAvgGwhXx96olalAZjLZK5bpaHV+85WsvN8wN7jskbzW72+ad/1CPvePTv351Z667xreK3+XLD3mpN9U1nR+s+r1p4T2ffqWntd0Qp737mdvA53XkvWtPr41T6tPVu10gfToBrpqIQGIiIi6izeLhm+sBszX3to0/MuPvMv6LrnnYgMuJGcKjWegYioQylqFRNz4zCM2tc9mq6hpJbrZ9NGyUTmyiIyVxbhdMkI9YcQHgihq7cLsnNzp1ySQ0J0OILocASmaaKQKiAzm0FmNoPyYtnul0ZERES0Rk84gsXiUkKDpsItOSAIAtK5LPoiUTjkjrmcTERERER7BI9AiYiIaEM9o15U41OoTr+06XmNUg7Fs4+he+QuJjQQ0Y6l6RrGZyeg63r975JaqiczdPmD6I2t3K2oVjUkxpNIjCchiAICsQDCA7UEB0/As6m+BaE2fyAWwMgtI6gWq/Xkhlw8B9PovDsYiYiIaGdzOhzoWqrSYJhARVfrVRri2TQGYz3tDpGIiIiI9hgmNBAREdGGfF0CSqee3PL8pQtPo/fm19SqZvF7NyLaYQzDwOTsBFRVAQBoho6SWoK5tD8L+ALo6+7fcH7TMJGL55CL5zDx/CTcfnc9uSHQHYAorj+U1kZcPhf6DvWh71Df0tAUWWRns8jYNjQFEREREdAdCiNbyAO4qkpDPof+SGzTxzBERERERNvBhAYiIiLakOQQYZQLW55/eV5JFqCrzGggop3DNE1ML0yhXK0N82CYBsqrkhn8Xh8GegYgCNbHOawUKpg7P4+58/OQHBJCfV314SkcLsem4qsNTRFFdDgK0zCRT+aRnkkjM5NBtVjdVFtEREREq7mcToT8fmQLBRgmoBg6XJIMXdeRLeQRCXa1O0QiIiIi2kOaltDw0EMPbfjcgw8+uOl5Wmmj+IiIiPYaUzchOJxbnn95XlNnMgMR7SwLqXnki7U7Ew3TQEkpwVga4sHjcmOgZ3BTyQxX01Udqak0UlNpQAACUT/C/WGEB0Pwdnk31ZYgCgj2BBHsCWLs9jEUM0Wkp9NIz6RRXixvOUYiIiLau8LBLmQLtQT1iqbCJdUuIycWM0xoICIiIqKWalpCw3/6T/9pwwt8GyUMXG+eVmJCAxERUY1SMeHsGdvy/M7uEWhVFYZhX0xERM2WyqaQyqYA1Co1lJUydEMHUBtXerBvyN5SyyaQTxaQTxYweWoKLp+rPjRFsDsIUdpcX76wD76wD8M3D6OSryA9k0Z6OoVCausVd4iIiGhv8bk9cDudqCgKNMOAZuiQRQnlahXFShk+t6fdIRIRERHRHtH0ISdMc+0dmVYSFq6ep5U6IaGCiIioUyRnFIzdfDckXxf04uLmZhZEBI6/GakZpTnBERE1Qa6Qw3xyrv53RS1DMzQAgCRJGOwdgiw19zSqWqxi/sICFi7MQ5RFhPpCCA+EEeoPweHe3NAU7oAbA0cGMHBkAEpZQWYmjfR0Grl4rq3nXURERNT5osEuzCQTAICqpkF2SgCA1GKWCQ1ERERE1DJNT2hYnSBg9YJZu5IKeEGPiIhorcxsGcNHvQjc9hPIPvpPm5rXe+B2OLqiiJ9MNCk6IiJ7lSolTC9M1f+uaFUougoAEARgsHcQLqerpTEZmlEbPmK6NjSFP+JHeCCM8GB400NTOD1O9B7sQ+/BPmiKhsxsBunpFBbnF2HqLKVDREREa3X5A5hPp6AbBqqGBo/phCgIyORzGIh1Nz3Jk4iIiIgIaEFCAxEREe1chgEkpqroOfEulC48AyU+YWk+0RtE5E2/iMWFEqpFvclREhFtn6JWMTk3UU9yVnQFVbVSf76/ewBe9+YSCGxnAoVUAYVUAVPLQ1MMhhEZjCAQC0AQrSeGy04Z3WPd6B7rhq7pWJzLIj2dRnYuA13lfpuIiIgAURQR8geQyi3CNIGqrsEjO2ACSOdy6AlH2h0iEREREe0BTU1o2ErFA1ZJICIi6iyz5wvwh7rQ997fw/w/fALK/OXrTi8FIuj7mY/DdARx5alNDlNBRNQGmq5hYnYSuq7X/y6r5frzPZFuBP3BdoW3oWqxivnz85g/Pw/ZJSM8EEZkKIKu3i6Ikmi5HUmWEBmOIjIchaEbyC0sIj2TRmYmDa2qNfEVEBERUaeLBLuQytXO66q6Co9cG/4qmcuiOxTm8L1ERERE1HRNS2j4tV/7tZbMQ0RERM1lGsCFZ3I4eDyIgZ//JAqnHkHu2YehLIyvmU7u6kbg9jcicPxN0FQZ55/IQVNYwpyIOpthGJiam4SiVgEAuqGjpBaBpTzrUDCESCjaxgit0aoaElcSSFxJQJIlhPpDCA+FEe4PQ3JIltsRJRGhgTBCA2GYd+xHPplDejqNzHQaSllp4isgIiKiTuRyOuH3eFAol6EbJhRdh1OSoKgqcqUiunz+dodIRERERLscExqIiIioIUMzceHpRXSPetFz8DUYuv0NqMyPQ8vMAaYBKRCFe+gwtIqK+JSChStZ6CqrLhFR55uJT6NUKQEADNNASS1iuWic3+tDb7S3jdFtja7pSE2lkJpKQRAFdPUGERmKIDwQgcPtsNyOIAoI9nQh2NOFseP7UEjlkZ5OIT2VQrVYbeIrICIiok4SCXahUK5Vr6pqKpxSLVkytZhlQgMRERERNV1Th5wg2qkMiDCw0Rdxjb+gs15sz66yfI1jsvq1on2FAq21ZFqOrMbYoN1WL3MrcQs2Lk0732MrrMS+2fdu+/1ZYd+abuXds74E7Flf7OxvS8vABObHK5gfryAQdSDS3wNHVx8gAJpqYvpkDtn56tIXgcJVLVw/JgOirctcsGn9bPV6btd7Z3UqO/dl9m2j9r0+uz6z7VzvTJt73P4U1vvbyjq1/ue2XXHXetxOW/HUArKFPAABpgmUlDJ0ozaX2+VGf88wIIirerHr89jqMrfhWMIAMnM5ZOZygDCOQCyAyGAY0aEIXD7XppryRwPwRwMYuXUMxUwR6ek0UtNplHPlNdPZu9619pjErpasbS+duT9vtBTMaz7jN+rPam+t+8y29zOtMev92RW7vWcErezP2jKwwr732M79j12x23WMa7V/O3tr9Xts33648663tGOAh4DXD4fsgKqpUAwdumFCEkXkSiVUVRUuh7Pl5wN26cRzf/t6s/NI3067/Ty0MWufH629SmvnMbUVrd4Wduo1/fWmavY71cqtwd5rnY3Zu7ezcx3uxNfX6h5buw9q5bl/61vbnTcZMqGBiIiINi2fUpFPqe0Og4hoy3KFHBKZOADANIGyUoRu6AAAh+zAUO8wRFFsZ4j2M4F8Io98Io+J5yfhC3sRGYogOhSBJ+jZVFO+sA++sA/DNw+jnCsjNZ1GaiqFUrbUpOCJiIioXQRBQCQYxEI6BQCo6iq8Yi0xMp3LoT8aa2d4RERERLTLMaGBiIiIiIj2lKpSxUx8euVvrQLN0AAAkihhqG8Ysrz7T5WKmRKKmRKmTk3DE3AjMhRBZCgCf8S3qXY8QQ+Gjg1i6NggKoUK0tNppKfSKKQLTYqciIiIWi3kDyKeScM0TVR1DR7ZCUEQkCkwoYGIiIiImmv3X6UjIiIiIiJaous6puYmYCxVY1B1FYpWBVC7+3CwdxAu5+aGYtgNyvkKZs7NYubcLFxeZz25IRDzQxCslz10+90YODKAgSMDqJaqSE+lkZpMMbmBiIhoh3PIMoJeHxaLBRimCc3Q4ZBkKKqKUqUCr9vd7hCJiIiIaJdiQgMREREREe0ZM/FpVNVaAoNh6Cir5fpzPdFeeD2bq06wG1VLCubOz2Pu/Dwcbgcig2FEhiLo6glCEK0nN7i8LvQf7kf/4X5UChWkplJITXJYCiIiop0q6PNjsVhLUlR0DQ6pdmk5U8gxoYGIiIiImoYJDURERES05zg9EqKjfri7HBBlAYZuwqgayMyUkI9X2h0eNUkiHUe+mAMAGKaJkloCTBMA0OXvQjgYbmd4HUmtqFi4FMfCpThkp4zwYAjRoQi6ersgSqLldtx+NwaPDmLw6CDKuTJSk0kkJ5Oo5Lm9ERER7RQBrw+iIMIwDSiGDq9pQhAEZAt5DMZ62h0eEREREe1STUtoePrpp5vVdNO94hWvaHcIRERERNQEni4neg8F0NXrwWK+iifPLSBXVOBySNg/0IUb7+pGuaAiPVFA8gpL5O8muUIO8fQCgFoOQ0UpwTAMAIDH5UFvrK+d4e0ImqIhcSWBxJUEJFlCeCCEyFAEof4QJFmy3I4n6MHQTcMYumkYxUwRqckkUlMpVIvVJkZPRERE2yWKIoI+H7KFPAzThGrocEoyVE1DoVyC3+Ntd4hEREREtAs1LaHh/e9//6bGWu0UgiDg7Nmz7Q6DiIiIiGzW1e/ByK0RXJzJ4s//9jSePD0P3TDXTDPU48dbTozhgXv2wRtxYeq5NMyrpqGdp6pUMROfrv+taBVohgYAkCQJA72DEEXr1QYI0DUdyckUkpMpiJKIUH+tckN4IAzJYT25wRf2wRf2YeTWUeRT+Vpyw2QKakVtYvRERES0VUGfH9lCHgCg6hqcS8NOZAt5JjQQERERUVM0fcgJ0+QFYCIiIiJqr0C3G6O3R/HtJ8bxua++iI1yFKbjBfzlP5/Goy/O4v/zC6/E8G1hTJ5MtzZYspWu65iam4Bh6AAAVVdR1WqVAARBwGDvEByyo50h7niGbiA9nUZ6Og1BFBDuCyEyHEF4MAzZYf2UMxANIBANYPS2MeTiOaQmk8hMp6EpWhOjJyIios0IeH2QRBG6sf6wEzvxBjciIiIi6mxNT2jYSQexTL4gIiIi2n1EScDwbRH8+PkZ/I9/etHSPGevpPGJv3oSf/BL9yAy4kN6stjkKKlZZuLTqKq1BAbD0FFWy/XneiI98Lp5J6GdTMNEZjaDzGwGgigg1B9CbCSG0ID1YSkEQUBXbxe6ertg3LEPi/OLteSGmTQMzWjyKyAiIqLrEQQBAa8f2UJuzbATmq6jUC4j4OWxFRERERHZq+kJDdtxvQSDrSRKbNTeTkq6ICIiIqLNCQ16IUoC/uKhU5ua7/SlFH7w3DTuOtjLhIYdKpGOI1/MAaidC5TUErB0TtDl70K4K9LO8HY90zCRmckgM5OBKIsID4QRHY4i1B+CKFkb4kMUa/OFB8LQNR3Z2QxSkylk5zIcDoaIiKhNQv4AsoXaMZayatiJTCHHhAYiIiIisl1TExrsrnhwdeLBZtoXBKE+/9XzsTIDERER0e4VGfHhRy/MIFdUNj3vNx8dx+vvHIE37EQps/n5qX3yxTzi6QUsn0GUlRIMo3Z3v9vlRm+sr33B7UGGZiA1mUJqMgXJISEyGEZ0JIau3i4IorUEc0mWEB2JIToSg6ZoSE+nkZpMIhfPAjylIyIiahmfxwNZkqDpOhRDh7k07MRisVD/nYiIiIjILk1LaHjnO9+5rfnn5+fx+OOPQxCENQfCy8kHBw4cwE033YQjR45g37598Pv98Pv98Pl8KJfLKBQKyOVyOH/+PM6ePYtnnnkGyWQSANa0JQgC3v/+9+NNb3rTtuKl3cfE1k++7Lyeai0K+04UTQvR23taurnWNnpfrC7zVp5S27se2Bm5XZG1dr2zwvpyatyflYisL4HGU1pbAtamsmt9sXd/cP0pTYi2rQe13uxZBoKNMVlbnq3erhr3Zz2iznt9AgS4fDL8IRe+/cTElvo5P5nB5FwOoQEfChm1YX926NT1zuo6tTyVCcDAtXfhW+nN6v5go9gVtYrphZmlfQtQVctQDQOACEmS0N87AogyVgYvsHP/aucyt2eqzb1zjafcbn+GaiA+nkJ8PAXZJSM6FEFsJIpgT9BiDIDslNGzvwc9+3uglBWkplJITaRQSBcst7Eea8vByjKwcztuzJ41c7mtxp/ZVmx3O766NTvasfN9scLOZWBtPbDvWLjVWv/+tfacqJXb8VaPz9fbtu08JrHC3nfYrnMZ+46X7Xp91vfnzTsfEAQBQV8A6dwiTBNQVg07kSuXEfT6LEa5lYjs3h/s5OQLe/cK1++ptefr1ntr7XmvXcfnrb7OZ/WIxL6p7IrJGrsit3O9a+41/a3OZ+fVx8ba+R3CRuzdl9lpt7++Vva4c49f7dNoWe7MY5+mJTR86lOf2vK84+Pj+Pf//t/XEw+Wkxo8Hg9+5md+Bg8++CAOHz5sqa3Xve51AABd1/HII4/gb/7mb/DUU0/VKzaYpokvfvGL8Pl8+MhHPrLlmImIiIio8zhctYvzM/Gtf8k5FS/gWHfIpoio2UzTxPT8NHRDBwBougJFW6quIQgY6BmEQ3a0MUJaTatqWLgUx8KlOJweJ6IjteQGf8RvuQ2nx4n+G/rRf0M/KoUKkhNJpCZTKOfKTYyciIhobwv6/EjnFgEA1VXDTmTzuW0lNBARERERXa2pQ05sxfz8PN73vvchlUrVHzNNEydOnMDv//7vY3h4eEvtSpKE+++/H/fffz++9KUv4dOf/jQqlUo9qeFzn/scXC4XPvShD9n1UoiIiIiozZZL2Wu60WDKjWm6AbBs7o4RTy+gXC0BAAzDQEWt1J/rifTA6+EF9k6llBXMvTyPuZfn4fa7EB2JIjYSg7fLY7kNt9+NoRuHMHTjEIqZIpKTSaQmUlDKHDKGiIjITj63Bw5JhqprUA0dplk7ZM6Xiu0OjYiIiIh2GWu1IlvoYx/7WH1oiOXhJd72trfhC1/4wpaTGa720z/90/iLv/gLuFwuACsVID772c/i2WeftaUPIiIiImo/Ta0lMnT5XVtuIxxwwdC2nhBBrVMsFZDMJGp/mCbKaql+ThHwBxHuirQxOtqMSqGKmbOzeOHhF/HCwy9i+uwMKoVK4xlX8YV9GL11FMffcRzH7juGngM9kBxSkyImIiLaWwRBQMC3lChqAupSdSxV11BRqm2MjIiIiIh2m45KaPinf/onPProo/UEA0EQcOLECfzRH/0RRNHeUO+66y584hOfqF/gFAQBhmHgD//wD23th4iIiIjap5JXoVR1vPrWgS3NHwq4cGx/FIUUL8p2Ok3XML0wVf+7olVgLF1Ydzgc6Iv1tys02qbSYhlTp6bx3DdfwKl/PYO58/NQKuqm2gj2BLH/zv244yfvwKEThxDqD+3UYSOJiIg6hs+9UkVJWzruAoB8qdSOcIiIiIhol+qYhIblYR9Wc7vd+MQnPgGhSSV+3/72t+Oee+6pJzUAwLlz5/DMM880pT8iIiIiai3TADLTJTxwzz6I4uaPKd941ygMzURmlhdlO93swjQ0XQMAaLoKVVsaYkAQMNAzZHuCNLVHIVXA+HMTePZrJ3H2kXOIX0lAUzTL84uSiOhIFEdecwTH334cI7eNwLOJIS2IiIhohd/rrf+urklo4LATRERERGSfjrmq9/zzz2NqampNdYYHHngAg4ODTe33/e9//zWPfec732lqn0RERETUOsmJIiJdbrz+zs0NX+b3OPDWV+1DdroEkyNOdLRUNol8KQ8AME0DFbVcf6473A23y92u0KhZTGBxIYdLT13Gs//8LF7+8ctITaVg6NY3VqfHiYHDA7j1zbfipjfchL5DfZCdchODJiIi2l0kUYJ36ThLNwwYSzeNFcqlNTeQERERERFtR8dcrXniiSeueewtb3lL0/u999574Xa7Ua2ulBF+4YUXmt4vEREREbWGUtKxcDmPX/2pWxFPl/DixWTDedxOCb/77++GxyHh4uV0C6KkrSpXylhIzq/8rZTrF9B9Xj8ioWi7QqMWMQ0TmZkMMjMZSLKE8FAYsZEYunq7IFiszOKP+OGP+DFy6wiyc1kkr8SRncvyyxgiIqIGfB4vStUKgFqVBpckwzANFMplBFZVcCAiIiIi2qqOSWi4ePHiNY8dOHCg6f3Ksoy+vj5MTEzUq0NMTk42vV8iIiIiap3Zszk4XBL+yy+ewOe/dhr/+tQkqqq+7rSHhkP4tffchsGoD5efTEKrsjxDpzIMAzMLUzBR+9JZ0arQjdrwA7Iko6+7v53hURvomo7keBLJ8SQcbgeiw1HERmPwR/2W5hclEZGhCCJDEagVFcnJJJJX4ihlOewMERHRevxeLxLZWgKwqtcSGgAgXy4yoYGIiIiIbNExCQ3ZbPaax2KxWEv69vv99WEuACCfz7ekXyIiIiJqnYnnMug/EsQv/uRNeP9bjuK7T03gydPzyJcUOB0SxvqDeOur9uHAUAj5TBUXH0tAKa2f9ECdYS4xi6paq7SmGzqqWqX+XF93P2SpY053qA3Uior5C/OYvzAPd8CN7rFuxMZicHldluZ3uB3ov6Ef/Tf0o5gpInEljtREEpqiNTlyIiKincPrckMSReiGAdVYOXbOl4pAtLuNkRERERHRbtExV/h0/dqLxYuLiy1JakgkEvVkBgBwOBxN75OIiIiIWm/upRwSlwuIjnjxpjtH8eBrD9af03UD2bkyzj8WRzGttDFKsmIxn0U2n6n9YRooq0UsFWpAJBSFz2vtjnzaGyr5CqZOTWHq9BSCPUF0j3UjMhSBJEuW5veFffCF92Hk1lFk5zJIXElgkUNSEBERQRAE+Nxe5EoFmKYJzTAgiyLK1Qo0XWOCKRERERFtW8ccUQaDwWsem5ycbHpCQzKZRCKRWPNYKBRqap9ERERE1D6aYmDhYgELFwuQXQJkhwhDN6EpBgydX07uBIpaxVxitv53Ra3ANGrvndvlQSzMuwFpAyaQW8ght5DD+LPjiAxH0D3WjWDPteej66kNSRFFZCgKpawgNZFEYjyO8mK5yYETERF1Lr+3ltAAAKqhQxZFAEC+VEI4YO0zloiIdjlBAGQJ0A3A4NCeRLQ5HZPQ0NfXd81j3/3ud3H8+PGm9vuNb3wDhmFAEIT6sBP79u1rap/U+UwIMCE0nnCbrPRg39cqVltqHJWVlpq19EyIGz5jbf7GrMXe2nev1eyMvJXL0/pabs8aatq4pOzcZlq5nltdBuu1ZK76Wdvndt52Ze+2YM/+1epUrV7Prb0+O7cZe/pTq4BaXT6Rtroebr0/a2u51Ris9GfXegcIW3j/1vvctracNo7bNE1Mz89AN0wAAhS9iqquAgBEUURvzwBMYXPRWt1erO1fW70ttLole2LfzufHtW1tbSkYmoGFK0ksXEnC5XOhZyyG7n3dcPusDUnh9DjRf2QA/UcGUEgXEL+SQHIiCV3VLa5Tdi4D+zRqy4BgqcdO3K6sfzbasz+3OpVd+wR7P7Ptaaf1Zxadedxi33Kw83P96vmubdvec//GU27lWGM77OrNzs80a8vJGmufj/YsBZ/HW/9d1XW45Vr123y5hNCahIbmX2tbzb4lYN81tVZrxfXN1Tpxmdu7JbTyHKy15/5WWdvn2bcvs/N6YCN2fqbZu543nsvOY9OtR7HOFJIEcaAPGBmGI7zyeaBVFWBmDsbEFMxiqWFbrT/vbWxnn9c3Ztfra/0nY6uvsndeb513NGKPjklouPnmm+u/LycXPPTQQ/ilX/qlplVMyOfz+PznP79muAkAuO2225rSHxERERERbU8qm0C5WrsbXjd0VNVK/bneWB+cDme7QqMdrFqsYurMDKbPzCDYHUD3vm5EhyKQHNaGpPBH/PBH/Bi7bRTp6XRtSIr44k7ObyUiIrLM6XDCIctQNQ2aqcM0azfi5kvFdodGRERtIu0fBQ7uB0QRP35hFk+cfhmFsgqnLGJsIIi3nhhDdP8o1PkEjBfPAAqH/iSijXVMQsPdd98NURTXjEGazWbxyU9+Ep/5zGea0ufv/d7vIZlMXpPQ8MY3vrEp/RERERER0dZVqhUkUgsAapUaKmqpfv4Q9Hch6O9qZ3i0S+QSeeQSeVw5OY7oUAQ9+zY3JEVsNIbYaAzVUhWJKwkkxhOoFqpNjpqIiKi9fB4vsvkcYAKaocMhSVA0FYqqwulwtDs8IiJqIfGmI5BGh/Gl757H1398Gbni2mSFp88t4J/+7QLuONqLD73zZoTvuQvGk88A5coGLRLRXrdR7faW6+npwYkTJ+oXJJerNHz961/HH/3RH9ne3yc+8Ql885vfrCczLA83cfToURw5csT2/oiIiIiIaOtM08RcfLp+w7uiV6EbOoDaXYG9sWuHsCPaDkMzkBhP4sz3z+HkN57H9JlpVIvWExNcXheGbhzC7W+9HcfuO4busW6IUsecghMRUSOiALnLB0c0CEc0CDnorZUdoHWtHnZCM1fGRi8tVdYiIqK9QTq0H9LIMD79N0/jf3/7pWuSGZYZJvD02QX85p/8EHN5FeIrjgNyx9yDTUQdpqP2Dh/84Afx6KOPAlhJMDBNE3/1V3+F2dlZ/M7v/A6i0ei2+pibm8Pv/M7v4LHHHlv3+Y985CPbap+IiIiIiOyXziZXDTWhQdFW7tzo6x6AKPKLYmqearGKqdMzmDo9g2BPAD37uhEZikCSrQ1JEewJItgTxOjxUSTHk4hfiqO0yDLcRESdSHQ74eoLw9UbguBcW1nAUBRUFxahzKVhVNU2RdiZvC53/fda0mlt2ZWqVYT8bQqKiIhay+2CdOgA/vJrp/HYqTlLsywWFHz8L5/An330Prj2j0I/f6nJQRLRTtRRCQ333nsv7rnnHjz22GP1ZIblnw8//DAee+wxvOc978Hb3/52HD58eFNtnzt3Dl/5ylfw0EMPoVQq1dsGVpIn7r33Xrz2ta9txksjIiIiIqItqioVxFPz9b8rahnLI9WFuyLwuD1tioz2olw8h1w8B+nZcURHIuje14NgLGBpXtkho+9QH/oO9SGfzGPh0gJSUymYutF4ZiIiajr3cDfcoz0wKgUUzjyC4sVnoRcXAQCSLwTfoTvgO3wC7qEYKuPzqEyn2hxx53A6HBBFEYZhQDNWVWiosEIDEdFeIY0MoVBS8K3HrmxqvtRiBf/y+DgePDECXLgMrBqanogI6LCEBgD45Cc/iQcffBCLi4vXJDUsLi7iC1/4Ar7whS9gYGAAR48exeHDh9HX1wefzwefzwdRFFEoFFAoFJBIJHD27FmcOXMG8/O1C6Crh7RYraenB5/+9Kdb/nqJiIiIiGhjtaEmZupDTVS1Sn2oCYfDgVi4u33B0Z6mazrilxOIX07AHXCjZ183use64fQ4Lc0fiAUQiAUwdvsYEuMJxC8toJzjlz5ERO3i2dcH12AUuae+gcLZRwFzbbKZnk8hd/I7yD33Pfhvuhddr3gAkGVUxuc3aHHvcTtdKFXKME0ThmlCFASUq9aHayIioh1MEGAOD+FffjwOTd98QsLDj4/j3a8/BK2vB8bcQhMCJKKdrOMSGvr6+vDf//t/xy//8i9DUZQ1SQ3ASkLCzMwMZmdn8b3vfa9hm+aqbK6rExlM00QoFMLnPvc5RCIRG18JERERERFtV3oxhVKlBKBWvphDTVAnquQrmHxxCpOnphDqC6FnXzfCA2GIUuP1U3bK6L+hH/039CMXz2Hh0gLS0ymYBu9KIiJqFVd/BO6hGNLf//+hfOX5609s6iicegRGpYDwvf8ORrkKZSHTijA7ntftrldk0A0doiRDN3RUVQUuh7WEPyIi2pmEYAAOjws/eG5mS/PHM2W8dCWFG7qjTGggomt05NW/e+65B5/73Ofg8dRKx65OQhAEof7PNE1L/1bPs5ppmujv78df//Vf4+jRoy19jUREREREdH2KWt14qIlgGF63t02REW3ABLJzWVx47AJOfu0kxk+Oo5gtWp492BPEoROHcPztd2DklhG4fK4mBktERAAAQYB7OIb86R81TmZYpXThGRTOPQ7PcKx5se0wbufK55a2KjGvVKmsNzkREe0mDgcAIJ3b+j4/lavCXGqHiGi1jkxoAIATJ07goYcewq233rqmwsJqqxMVrvfvasuJDj/xEz+Bhx56CEeOHGn2yyEiIiIiok2aXZiunwsoWgW6oQFYGmoi0tPO0Iga0hQN8xfmcerbp3DqO6ewcGkBuqpbmtfhdmDg6CBuf9txHH7NUYQHw8C1p7ZERGQDZzQIwelA8cyPNj1v8cyPIHrccEQCTYhs5/G43fXfNWPlM69UZUIDEdGut3TuLolbP3ERRQHCBt8HEtHe1nFDTqw2MjKCv//7v8fXv/51fO5zn8Ply5cBXDtshFXLF0OPHTuGj370o7jnnntsi5WIiIiIiOxz9VAT1dVDTcT6l4aa4IUO2hmKmSKuPHMFk89PIjYaQ8+BHvjCPkvzhvpDCPWHoJSqiF+OI345DrWsNDliIqK9w9kXQmXqHPRidtPzarkkKrMX4OrvhZrO2x/cDuOUHZAkCbquQzON+uOs0EBEtAcotXOU3ogXueLWzlcGol5A4ecpEV2roxMagFrywjve8Q68/e1vx5NPPolvfOMb+MEPfoBEIrGpdmKxGF772tfi3e9+N26//fYmRUtERERERNulqFUsJOfqf68eaiIUDMHrsfZFMFEnEZ0ifH0+mF4DycQ8cjkXfMEg/EE/RKlx8USn14Whm4YxeGwImdk0Fi4uILew2ILIiYh2N9nvRuHsuS3PX5k8h+DxURsj2tk8LjcKpSJgmjAME6IooFyt1IcFJiKi3cnMF6Dmi3jDXSO4MJXd9Pz7B7swNhiC8vhF+4Mjoh2v4xMalgmCgFe+8pV45StfCQCYnJzEqVOnMDExgenpaeTzeZRKJRiGAY/HA7/fj4GBAYyNjeGmm27CwYMH2/wKiIiIiIjIitn4zKqhJqorQ03IMrojve0MjWjTZI+M0GgXPDEvzGoF5YkXoZbzqAgiSsEYCmM3wevxwuPxweVxNWxPEAVEhqKIDEVRzpcRv7iAxHgcuqK14NUQEe0+gsMBUylveX5TKUOQd8wl1qbzOF21hAYAmqnDCRmGaaCiKPC4Gn/OERHRziVMTuH1dx7E//rGWZSrmzs/eeDEGNRcAWYq3aToiGgn27FH2yMjIxgZGWl3GLRLmbheAeOdmk1uNe7GpZuttNSsAtA7632xb5lbWZ7Wl0A738HOYN/ytO89tqa165QVgsWYzAY9GpaXuNX+7JnKan/WerNn/2q9v8bsXM+tvb5WL8/G/Vlpxyq7+rNzf25nf1tZUutt242WU2YxjUK5dhHcNAxUtEq9757YAARRqv9t1zpl53rQ6m3Brj2H1WVgLXb7loFd+3Pr7Nl7LrfiCjrReywKvZBC9odfQ/nKKZjG2gt7otsH76E74b/5PsgOLxxwITIQtlS1wRPwYPT2MQzfPILUVArzF+dRTBcbRHV96706c81PO987a+zb51vT+v15Y63+zLarHTu39U4847OqtcckW2tn/bns3K62GsPm27FquS1T1yHIzq03JDsBXUej6Fr/mdaYnfvOZW63B+ZSu5phwiHVfi9Vq3C73BZa2Ll7BGvreavPP3bmsVurzx2tsm+b6cRlblWrz8Ea92fXkrJzD2zvdcXG87X62HSj1vTpOcg3HMT73nwEf/nPpy23dmCoC6+/cxh4+fy6z7f6yqp9rdn36d/6Tz57Xp+dx4qttzO/R+m8iOyxYxMaiIiIiIhod9F0DfH0fP3vilqqV2roCoTg8/rbFRrRpjl9MnpvjKE6+zIy3/87mPr6dygZlSIKp36A8pUXEX3zf0BV9GHiWxOIDcfQe6AHbn/jL39EWUT3vm507+tGIV3AwqUFpCZSMHSj4bxERHudUVXgiA4AF7Y2vzM6AL2i2hvUDuZ2rlRh0Ay9/nu5WgHQ1YaIiIioZVQNxqlzeMdrbka+pOAfvrt+gsJqY/1B/P4vvBLIZGBMTLcgSCLaiZjQQEREREREHSGRWoC+9KWvqqvQ6kNNONAd5VATtLPEbghDTU0h/W9fBFZ9obMRvZBB6uG/QPfbfx3+Ph9mX5rD7EtzCPUF0XuwF+H+MASx8R0i/ogf/ogfo7eOIjGewMLFBVTyFTteEhHRrqQs5OA79ArknvkWTG1ziQmCww3vgeMoTyabFN3O45BlyJIMTdegmyv3CFZUpY1RERFRqxiz81AdMt77xiM4OBTCVx+5iLNXrh1GIuR34Y13j+I99x+ElMvDOPkCYO7We8uJaLuY0EBERERERG1XrpSRyaUA1K5hVNWVsax7Yn2QRKldoRFtmqvLCaffjfi/fc1SMsMyvZBF4dS/IXD8zciMZ2HqQHZ+Edn5RTg9TvQe6EHP/h44PY1Lo8tOGf039KP/hn4szi9i7sIcsrOZ7bwsIqJdqbKQgXu0G579t6N0/qlNzes9eBwQRFQXss0JbodyORzQdA2macI0TQiCAEVlFQsior3CmJiGWirj+A0HcPev3YupuRweOz2HfEmFyyFh30AQJ27uh6lpwNQU9POXAIPJDES0MSY0EBERERFR2y0kZ+u/K1oFplkrle/3+uH3BtoVFtGWBPt9UBIzUJObL5lauvA0gne8Gb5uPwrzhfrjSlnB1OlpTJ+ZQXgwjL6DvejqtVa6u6uvC119XSjny5g/P4/EeByGxuEoiIgAAKoOZWERXXc+gOrcJej5lKXZ5K5uBO94cy2ZQbOevLYXOBwOoFJLTtVNE7IgoKoq9eQGIiLa/cxECmYiBaUriP7RIbzzrkEIDhmmbkCoVGCcOgdjdg4weF5CRI0xoYGIiKjFZKcAf5cE2SHANIBqxUAxywtgRLR3ZXMZlCpFAIBh6FD0Wnl8QRDQHe1rZ2hEmycA3qgP2ce/vaXZjWoZ5fHT8MUOr0loWGaaJtLTaaSn0/AE3Og92IvusW7Izsan956AB/vu2Ifhm4cRvxzH/IU5KCWWACciKl2ZR8A/gu4HfhnJb/8ltOzCdad3RPoRfeMvQC9rKF+Zb1GUO4fT4aj/bpgGABEAoGgqXI7GVYaIiGj3MBdz0F88W/t9+bGVZ9sQERHtRExoICIiapFAWEL/qBOxfidESVxzd0o5r2BuUkN8SoGu8WCeiPYOXdcRT618EVBVy/VrGpGuGJy86E07jCRLEEQBWm7r46nruQQcfUcaTlfOVzD+3ASmXpxCdCSK3oO98Ef8DeeTnTIGjgyg/4Z+pKdTmDs/h0Lq2uQJIqI9QzeQPz0F/7Eh9Lzjwyhdeg7Fc49BTc+umcwRG4L/6Al49t8OLVdG4aUplsheh1NendCwsnwUlQkNRERERLR5TGggIiJqMlEEDt/uQbTfjcr8BFLf+iaKLz8Jo1IEJAnO2DACx9+IsZtei9EbAnjpZAnZhNbusImIWiKZiUPTa2Mqa7oKzajt/xyyA5FQtJ2hEW3NciVtY+vVl0xDX2nHAkM3kLiSQOJKAr6ID30H+xAdiUKUxOuHKgqIjsQQHYkhn8xj7uVZZGbSvFGKiPYmTUfh9CRcfWG4h26G7/BdUDNx6MUsIACSNwxHuBtaoYzylTiq8xnA5A5zPasrNOirSolXFAUBr68dIRERERHRDsaEBiIioiYSReCmu73weTXM/e//gvL4i2sn0DUoC1eQ+tZfIP1vX0Tsjb+AY6+4Fy+fLCE1r7YnaCKiFqlUy0hna3exm6aJqlauP9cT7YMoXv/LWKJOZGi1L24kd2DLbYieAIwtVmwqpou49NQlTDw/ge593eg71AeXz9VwvkAsgEDsMKrFCuYvzCNxOQ5d5ZBYRLTHGCaqs2lUZ9OQQ144IgEIjm4AgF7UUZm6Am2x2OYgO9+1Q07UKCqHOSIiIiKizWNCAxERURMdusUNn0/H7N/831CT09ed1qyWkPj6Z2GoFdxw20/gxccMFHP8IoGIdq+F5BzMpVvBFa0CY+kOPp/HD79v618GE7WTaZio5srw7L8N5YlTm29AEOHZdysKye0lNmqKhrmX5zB3fg6RwQj6D/chEAs2nM/lc2P0tjEM3TiM+JU4Fs7PbSsOIqKdSsuWoGWZvLAVkihBlmRougZ9VRWLqsqkfSIiIiLaPN7yRERE1CRev4juITcSX/9/GiYzrJb69uehJCYxdIBjixLR7pUrZFEsFwAAhmFA0asAAEEQ0BPtbWdoRNuWmyvBPXYTRM/mE3M8ozdCdPuQny/YE4wJpKfTOPO9Mzj13VNITiRhWhjvXXJI6L+hH7c+cDtiPTE4Vt1tS0RE1MhylQbTNOtDc7BCAxERERFtBRMaiIiImqRv1Aklm0Dp/NObm9E0kHv664j2O+F0bWIAbSKiHcIwDCwkV+76rqplLBVqQLgrCqezcXl8ok5WSpZgaBoCt963uRlFCf5bXo9Kugy9Yn+VpmK6gItPXMBz3ziJmXMz0BSt4TyCKMDr86K7uxu9/b2IDEUAHp4QEVEDTnklEW65SkNVVWsJDkREREREm8AhJ4jWYUKAuaOu0tl5Mth5r9tc9dPcMA/L2jKw8ursW5pWW+q8Zd7qJWWNfTG14tWJEtA7JCP7g3/ZUmvFs48h8ob/C90jLkxdWLpr2fLc9rxCe5fTeq0J9Z+1bbtxa63equztr/FUpqX3xc59Rmu3Yyu92bme27c8W/s5ayVu+3rbzHputbXV2/b68yQycSiaBkCApqvQjNrvkiQjEuq+zuf91b3Zsy+zvubZs07Z+R7b1ZbVfYu17di+ZWDXHs/6O2zPVmMaQPpKAd3HXg1tMYniuccaNyuICL/mZyCH+pB4MYHlEcetLU8Lza9qp1rWMPniNKbPzqJ7rBv9N/TBE3A3bMPlduHQqw6jUqhg/sI84pfjMDRjg6lb+x7buae26/PDzv2rffs7a1r/vthzHNjqfVmrj6Xs/Ey7ep3a6jUQweIyaO0ewU6NY7K6DOxib2/NO851OBz19Uo3TUhLS0rV9Hr1hmZHZI1952B2xW79uKV1+0479+ed2J/13lp37L2zl7kVrX5frOzPrfe4/Smss++ak1WtPO6071zczlZa//oas2//Y6fd/vo6s8e9igkNRERETeD2ipAcMkqXntvS/KauonLlBfjDd9ocGRFReylqFalMsvaHaaKqlevPdUd7IYosIke7Q2GhCNkhInziQciBKPKnvg+jvP4wEnK4F113vwOu3v2YP5uGUmzNGOOGZmDh4gIWLi4gPBBC/w396OoNNpzP7Xdj7PYxDN04hPjlOObPz0Mps4w4ERGtcDhWhlA0zJXkt6qqXDehgYiIiIjoakxoICIiagJZrmVnGtXiltswqkXI0kZ3PRIR7UyJ1EI9817RqzCN2n7O4/Yh6O9qZ2hEtstO56GpBqKHT8B37FUoj59C+dJJGJUCIIiQA1F4j7wSrt4xqKUq5l5MolpoT2JAZjaLzGwW3pAH/Tf0IzYShShdP8FIdsoYODKA/hv6kZpKYe7lORQzWz/2ISKi3WO9IScAQFFbk7RHRERERLsHExqIiIiaQNdrF2wEeevjwAuyE7rBslVEtHtUqmUsFrIAANM0oGi1IXUgCOiJ9bYvMKImKiwUUUyU4Ov2Ith/GNH9t9afM00T5VQZ86cSKGcrbYxyRSlbwqWnLmHyxUn0HepD34FeyK7rXzoQRAGx0RhiozHk4jnMvjSL7FymRRETEVEncsgrnx2GsZLQoOpaO8IhIiIioh2MCQ1ERERNoFRMmIYJV/9+aJm5LbXh7D+EfN7mwIiuIskCJFmArpvQ1daPWEt7SyI1X/9d0arA0t16XYEQXE53u8IiajrTMFFYKKKwUIQoixBlATBN6KoB0+jMfa9aUTF1agozZ2dw6HUHEQwFIcuNLyEEe4II9gRRzBYxe3YGqelUOwZEJyKiNpMlqf776nGxdV1vRzhEREREtIMxoYGIiKgJVMVEekFB8I4HUDz76Kbnd4/cCFdsAPNnmdFA9nM4BXSPuNE97ILHt3I4WK3oSE1XEZ8so1ricCdkr1K5iEKptk8zDQOqXqvOIAgioqFYO0MjailDM2BowE75lt/QDRTyBVSUChySAy7BhWBPsOF8vpAPh+65AUO5MmZfmkFyPAnT3BmvmYiItk8QBIiiCMMwYKxOaDB4nkFEREREm8OEBiIioiaZndRw891H4OgehpqY2tS8wTsfQD5dRTHHu1fIPoIAjBzzoWfEjYqi4eEnx/HChQTKVQ0uh4TDYxE8cGIMtx6IIDlbwcSpInSNXz6RPeKrqjNUtUr9u9xQVxjyqjGWiahzlUtlXHzqEvxhH/oP9yM6HIUgXn94LE/QgwN3HcTQjcOYfWkW8StxmDq/zCIi2gtkSYJiGGty+DRWaCAiIiKiTWJCAxERUZNkExpKiwq63/HrmPvbj8FUrY2N7Tv2aviPvhLnni02OULaSwQROHRHAL6wjD//6gt45NlpVNW1FxOfO5/Al//1PO6+qQ+/8q5bcfiVXTj/5CI0DkVB25Qv5lCu1PZphqFDMxQAgCiKiLA6A9GOU8wUcfGJi5h8cRJ9h/rQc6AHsuP6lxdcPhf23bEPg8cGMffyHBYuzcPQmNhARLSbSaIEQIVhrh5yQmtfQERERES0I4ntDoCIiGg3O/NsFVJoEH0/+3GIHn/D6f03vQbd7/gwZi5XkJxTWxAh7RX7b/HD0yXhP/3Zj/HtJyauSWZYphsmHntxDr/5Jz9AFRoO3hmEwCNG2qbEquoMyqrqDJFQbOlCNxHtREpJweQLk3jua89h/LlxVEvVhvM4PU6M3jaK2992HIPHBiE5uA8gItqtJGllH2+YtSQ2zWCFBiIiIiLaHF6eJiIiaqJKycCLT5QhRvdj6EN/hvDr3gs52L12IkGE9/Bd6Hvv76HnJz+C2XEVl89aq+ZAZEUgIqN7yI1P/+3TuDidtTRPPFPGx//n4/CFZMQG3c0NkHa1xXwGVaW2T9N0DZpeS9aSJBmhYKSdoRGRTXRNx/z5eTz/zedx6alLKOfLDedxuBwYvnkEt7/9OIZuHobsYgFJIqLdRhZXLj0bSwmtHHKCiIiIiDaLVwyIiIiarFQw8NyPS+gfc6H/+DsQOvFOVBcmoJdzECQnHNEBOPxdSC9UcfmpAjJxluAke/WOunFxMouTL8c3Nd/UQh6PvjCL2/f1IDHFJBvaPNM0kUgv1P9WtJX1KBqOQRSZX020m5iGicSVBBLjCUSHIhg4NghfyHfdeSSHjMFjQ+i7oR/xSwuYe2kWaoVVqoiIdgNxVSUuc2nYCd0wYJomBEFoV1hEREREtMMwoYGIiKgFVMXE5PkKpi4A0T4HguF+SI4BmAagzBiIz+RQKXEcabKfwyUg0u/CF790dkvzf/PRK3jt8SH4QjKKWSbb0OZkc2moqgIA0HQVuqFBAOBwONEVCLc3OCJqHhNITaWQmkohNBDG4LFBBKKB684iyRL6Dw+g92AfElfimD03A6WktChgIiJqBllaSV41l8ccQ61Kg0PmZWkiIiIisoZHjkTrMCHAxNYzxa3OaTaexOJUOzmr3dpSaDz1Tl4GjVl5dZtbkna0truXebOYJpCY05CYW/vFsLDq/xvO27Sott6fXWuB1X2uvfvXVmvPdhWIOAEB+PHzM1ua/9x4GqlsBcGYE4Xs9crDtn5PZQdr74q198W00Frr13T73pfNLivDMJBIJ2AujXJX0apLx1gmIuEemIKwYZvWt4TGU3bmJ5p977G19bNxO9a3Tnvasr5d2dOWle2z1pY97NzWrcZupSVr1otLqP+sbcdWWqnNk5ldRGZ2EcGeIIaODaKrN3jd+URJRO/BPnTv70FyPImZczOoFqoWerRrH2zNbj/2bnVEnbgvs6YTz4msb+vLU5pY/3i8M89DrerE96Yxe6O2ss00d88oSlL90Vr6fq0/Vdchy44t92T9SKrVezN7jt3s3a7sO06y1ptdr8/qsVvn9WetNy5z6/3ZNZWdxxGN+7PvbOfaqdaby97Pj9btN+w897fGzrWzsVa/L3au5515nWQnvz4rdua11VZhQgMRERHRLiY7BFQqGhRt6xVAFgtVuB1bv+BIe9PCwgI0vZa8peoKDKOWEONyuRHwX/8LTSLafXLxHM7GcwjE/Bg8Nohwf+i604uiiJ79Pege60ZyMomZszOo5Dn8ERHRTiKtM+QEUBt2goiIiIjIKiY0EBEREe1ipgmI4vbyjiVRgLl3E4BpC3RdRzy+AKB28VrRyvXnYuGedoVFRB0gnyzgpR++DF/Yi8Fjg4gORa47vSAK6B7rRmw0hvRUGtNnp1FeLF93HiIi6gyytJLQYKxOaNCvV/mNiIiIiGgtJjQQERER7WKqYsDtktHld2KxsPmxyCVRQDTkQTJjpdw3UU0ikahfqNYMBcbSXXhetxc+r7+doRFRhyhmSjj/6AV4utwYOjqI6HAUwnUS8ARBQHQkiuhIFOnpWmJDKVNqYcRERLRZkrS6QsPK4xoTGoiIiIhoE5jQQEREbReKSugbluH2C5BkAbpuoloysTClIR3nhQ6i7VhMqFAUHW+4axRf+bcLm57/lTf1w+eRcX4+34ToaDcyDAMLC6urM6yUiI9GWJ2BiNYqL5Zx4YmLmDo9jcGjA+ge675uYgMARIYiiAxFkJ5OY+r0FCs2EBF1KFFYvT9fyWgwTA45QURERETWMaGBiIjapmdQxtABBwJBGecnMvjBMwmUqxpcTgk37ovi5rtiKBY0zF7RMDuhtjtcoh3JMIDktIK3vmofvvr9CzA2OXTE2169D+kFBUqZFx3JmlQqBU3TAFxVncHjg8ftxeqL2UREyyqFCi49fRnTZ2fqiQ2iJF53nshQBOHBMJITSUyfnkK1yGpCRESdRFiV0LD6CJDD2RERERHRZjChgYiI2mLfESdGDrrwvacn8fUfXcalmcVrphnq8eOtr9qHB+7ZB19QxIVTvEhNtBULExXcti+EB193EF/9/kXL891zcz9uOhDDuSev3T6J1mOaZq06w9J3kIq2st+OhGJtioqIdpJqsYrLz1zB9JkZDBwdQO/+nusmNgiCgO6xbkSHo4hfjmPm7DTUChNhiYg6w/Ur7hARERERWcGEBiIiarmRg04M7Xfi//sPJ/G9p6c2nG46XsBf/J9TeO58Av/5A6+AoZu4dFZpYaREu0OlaGDiXAn/r7fdiFJZxcNPTDSc544jPfjoz92B+fEyFhP8YoisyRWy8CoKHG4JiqrCMGrDBrldHng9vjZHR0Q7iVJWMH5yHDNnZzBwpB+9B3ohydKG04uSiL5Dfeje1435C/OYfWkWuqK1MGIiIrLKZMUuIiIiItqE69dvJCIispk3IGLfERc+/8+nr5vMsNpTZ+bxx3//LIb2uxCKbnwhm4g2Nne5gqnzJfzqe27D//vnjuPQcGjd6YZ6/PgPD96M3/2/Xon0nIrxM8XWBko7WiqTqP9eLpfqv0dC0XaEQ0S7gFpRMfn8JJ77xnOYOTsDXdWvO70kSxg8Oojb33o7Bo4OQpR52YOIqF1WDzmxepwJk2NOEBEREdEmsEIDERG11MCIA/PJIr7x6OVNzffj52fxk/em0T/qRzZ1/QvZRLS+6fNllPM67jjQh9cdH8al6UU8dz6OUkWF2ynj6FgENx+MoVTQMHm2iPnxCovEkmWFYg5VpQLAA1VVoaq1yh5OhxN+X7C9wRHRjqdVNUydmsLcy3MYODqAvoN9101WkJ0yRm4ZQd+hPsycnUH88gJg8As0IqJWWpPP0L4wiIiIiGiHY0IDERG1jCQDPUMy/uZfzmMrN2R849Er+M2fPQ6nW4FS4eUQoq1IzSlIzSkIhGX0jLrwhttHIckCDN2EUjJw7qlFZOMcYoI2L5mJ138vlVaqM4RDsXaEQ0S7lKZomHxhEnPn5zB0bAg9+3sgiBun3zk9Tuy7Yx/6D/dj+vQUUpNJfqtGRNRurNBARERERJvAhAYiImqZcLcMSRLwvacntzT/oy/M4ld/6lbE+mTMjvMLV6LtyGc05DPcjsgepXIR5UoJAgBd16EoCgBAlmQE/V3tDY6IdiW1rOLKs1cw+/Ishm8aRnQkura0+VXcfjcOvvIQBo4MYOrFSWTnsq0LlohojxI2qPdmMrOMiIiIiDaBg0kSEVHLOJ0CShUNhfLWvkTVdAPpXAVOJ4vgExF1ktTq6gzlVdUZuq7/BSMR0XZVC1VcfOIiTn37RaRn0g2n94Z8OPyaozj2+hvhjwVaECER0d61+jhwdQoDCzQQERER0WawQgPRhrZ+8d36eZmVKVv7JYCV3qy9PqtLYXOvz9xgequt2Bt7I9aism+ZW2XPerelZS4KMLY5drGum4Cw0avgl2Z2snfdvP6UpsUe7d2ztHrrs6e/5uxdW9WflffYWo92vb5WrwX2fvLbFf32PkUr1TLypTwAwDAMKNUqJKcIUZLQFYxsov1GPW1Vq7fjTmTfmr7RnZabbcve42Ur7Hzv7NmXtTYi+5Zk7Xi887ar4mIFL//4AvxRP0ZuGUZXT/C60we6g7jx/puQmc1g6sUplBZLq561cixs3zKw772xczu21lJjrf3W0s7tqrXnjkBrj27WW4evnc/aOmXfkbcVrf/8sKIzjw/si2rrZwS1hIbVSQ1C/ed2ru+0/iytM8/CrOzPN1rOm2X9jMGed8fqZ5Vd+2rr/dl1jNfaK7B27qlbuwxa35819pzvWD8ms/P8qrFWLs9WXwOy+1sEu1pp/etrrNXntNZ04r6z1TrvHKxVWKGBiIhaRlNMeD0yZGnrHz9dASc0dXd+KBMR7UTpbLL+u6pX66dNsWgUosjTDSJqrUKqgLPfP4ezP3gJhUyx4fThgTBuftPNOHD3Abh8rhZESEREJks0EBEREdEm8AojERG1TDalQxQE3HNL/5bmv+VgDF1+FzJJ3ebIiIhoK1RVQS6fAVC7MK3qVQCAKIqIRmPtDI2I9rjF+UWc+s5pnH/sAsr5ynWnFQQB3WPduPUtt2L09lHILhazJCKyy/KoE2uHnGBCAxERERFZx4QGIiJqmWrFRHJew9tetX9L87/1VfuQTqko5AybIyMioq3I5FL1MoSqXq1fqQ6Hw5BlfiFIRO2XmkrjhW+9iEvPXIFSVq47rSiJ6L+hH7e/9XYMHhuEIHVmkVEiIiIiIiKivYQJDURE1FJzkxqO7ovglkObu3N330AQd9/Uj/lJrUmRERHRZpimiWwuvfQ7oGq16gyCIKC7u7udoRERrWGaJuKX4nj+m89j4oUJaMr1jyclh4Thm4dx21tuQ3Q42qIoiYiIiIiIiGg9TGggIqKWyiR1LMyq+L9//i7sH+yyNE9/1If/8osnsJjSkJhlQgMRUSfIFxeh67V9sm6o9dLBwWAQTqeznaEREa3L0A3MvTSH577xHGbOzkDXrj+MmcvnwqF7DuHY64/BG/a2KEoiot3DMAwsjy6xuuaNJPGSNBERERFZx6NHIiJquZefr6JSAP7rr74ab7x7FE55/Y8jWRLwmtsH8ccfeQ1EXcbZkxVwqE0ios6QWUzVf1+uzgAAkQjvZiaizqarOqZOTeH5bz6PhUsLMI3rH2AGu4O4+Q03Y9+d+yC7OJwOEZFVxqoTeHFVSoMo8JI0EREREVnHM3EiImo5wwBOP1XFgWNO/MpP3Yp///Yb8Z0nJ/DixSRKFRUel4wjYxG85cQYAl4nFmZUXDxdhn79m+iIiKhFqkoFpXIBAGAYOnSjVqnB6XDC7/e3MzQiIsvUioorz1zB3MtzGL55+LrDSwiCgN4DvYgORzF9Zhrxi/MNEyGIiPY60zRW/hBWJTSITGggIiIiIuuY0EBERG1hmsDFMwomL6roG5bxplfswztfd7D+fKWsY2Fax9nJEqplXiwmIuok2dXVGXSl/ntXMNyOcIiItqWSr+DCYxcwF5nD6O2jCMQCG04rO2WM3T6G3gO9mHhuHIvz2dYFSkS0w+jGSkLD6iEnWKGBiIiIiDaDCQ1ERNRWStXE5EUVkxdVSBIgyQJ03cTSsOxERNRhDMPAYj4DoJacpum14SZEQUDQ39XO0IiItqWQLuDM984gOhLFyK0jcHldG07rCXpw5LVHkZnNYPK5cVQKlRZGSkS0MxirK9msymgQReHaiYmIiIiINsCEBiIi6hi6Dug6qzEQEXWyXCEL3aiNAaQZCpaHRvb7gpAknl4Q0c6XmkwhM5PBwJEB9B/phyRLG04bHgijq7cLCxfmMXN2GrrKMdKIiJYZxso+UViV0SCJG+9XiYiIiIiuxvpeRERERERk2erhJjStWv+dw00Q0W5i6Aamz0zjhW+9gNRk6rrTipKI/iMDuPWB29C9r7tFERIRdT7DXLlhQRSEdX8nIiIiImqEt1ARrUvAxveI23f3uIDOO4EzbXt9dr42YdXP9du1HrWVKe2J3Wor1mK3s2pB48isxG5vHYXGrdm5vXTiMt/rTJv3iPa9x5333tm7b2m1Vi/zxm1Z+dxrbUT2fqaZNu3zl1UqJZSqZQACDEODtnTXndvlgdvtuyai9fu3bynY9d7Yu8wbsx535+2D7GLnMrDv+NXOfUJr3zs71ztre43Wvi92fapZ2ScCa19dtaTi/OMXEbi4gH23j8IX9m04n8PtxP67DqLnQB+unBxHMV3YZsTrx7RdrT0W3rn7sZ27zK1a+wq3+pl9vasna9u3Z0+1196XTrCdiMxVCQ3mqrVFEKXrLFk7jxWtfF5Zacc+1o41rPVopS1rr8++z3W7zuyt92fPVHa+Prv2LfZeB2vt9Ww796+tXeZW2bOfsvquXLsMtrpudOLVMvv2d/Z+grb26nhnXqFs7Tlfq9cpO7fRRjrxvduJmNBARERERESWZHIrdymrmlL/PRgIbatdEyYMw4Bh6DBME6ahwzANmKYBQzeWfjfrP2GaMGHCNGo/63+bJkzDgInaBfTaNEb9uVpnG52SXvv46keEpf8LAiAIAgQIEARh6QkBoiDWLjQJgCAAWJ5m6QFRFCEIAiRBhCCKkASx/rgoiBAEEaIoLP1cfmx3noQS7UT5RB4vfvc0evb3YOTmIThcjg2n9Uf9uPkNNyF+JY6pF6agVtUWRkpE1Dl0w6j/vqZCg8hjHCIiIiKyjgkNRERERETUkK7ryOWztT9ME6pRS2gQBREBf1ct2UDXUalUoGgmKiUFi4VMLSHB0KAbSwkKRu2fCaP22FLCwVqtrdBghYnaXai1fIpW3a1pQlxKcJBECaIkQhLkWkKEKEKSZEiiCFGUas8vT8dxqYmawwTil+JITaYwfNMg+g72QbjOl3I9+3oQGYxg+sw0Fi4uwDQ6s34SEVGzGBvs90SBoyATERERkXVMaCAiIiIiomsYhgFNV6FpGjRdRTI9j3Q2AV3XoWoVVLUyDMOA1+vH1OxlmEvFqoXxAGSnCE0xkM7m2xJ7vRgDAJjLdwZu/ovE1XkLVxdLEFY9uFK9wf4UC2OpSoWma4DFm7wFCEuJDstJDzJkWYYsyZAkqfa3JEOS5Y4cAo2o0+mqjvHnJrBwKY6x20YR6g9tOK3slDF2+xh6D/Ri/OQ4FhcWWxcoEVGbGasqNKw+4pBEJjQQERERkXVMaCAiIiIi2kNM04SmqVA1FZquQtdUaLoGbfVPTYVu6Gvmm12YgKJUAQCqUYGJ2gVqr9e76XETlysc1H6sGjJiuR1zadiIpedWz7M0wUrFBJhY+m/5qat721RsDSJvOMVKUsOqVAFh9SPC0pAVWJUQce3f9TSJVUNcXJNVsWGUJjRDBwwd0K6fBSEvVXeQZAmSJEMW5dpPSYIkOeCQZVZ8INpAOVfGuR++hPBAGGO3j8Ltd284rSfowdHXHUVyIonx58ahVbUWRkpE1B6GuTqhYfWQE0xoICIiIiLrmNBARERELRXpkRHuliE7ahe0JFlAICShkNUbzElEVmi6Bk1VoGgKVFWBpqlQVAWapkDTNej65r9EU1SlnsxgmHo9mcHlcMEhO2vDRixdsFaUKjRDgFbVoKjletKCCRPmUqKCXTkGnVhbYCXxwtwwyWKrcQu17IZ6RQhREGsJD6sSJZZ/issJEA2SIDRDryU/aBu/KZIgQpYdkCUZDtlZq/Yg15IdZMnBstG052VmM8jOZzFwuB+DxwYhyRsnAcVGY+jq68LE8xNIjidbGCURUevp+so53nLSpyg0p6oVEREREe1eTGggIiKippNkYGDUhZ4RGT6fjMvTizh5PgNJEjEQ8+H2V/uxmFGxMKFiYdpiTXWiPUrTNahqFepSwoKqKrVqC5oCRVXqiQVbZpowzOXkg1qiQnYxiapaBkwDOlQYpgbTBLweDyrVwprZS2UBskOEpi4Nk9AEtS/xl+/uW6l4IAgCBEEEVlU1qD0GrFQ82OAC+joPr76TcLlahLm6YoRprqokgaVltvz76ucMGAa2/d6s7hMADOiNkyMEQBDEpWUhrl0uWPp7eYFuQDcN6GoVVbUKAcVrnl+d6OBYTnSQXXA6HBzSgvYM0zAxc24WifEkRm8dQWw0tuG0DpcDB+8+iNhoDFeeuYJqsdLCSImIWkdbJ6FBlnk5moiIiIg2h0eQRERE1FQut4Cjr/BCdgHffXIC33p8HDOJtV+AHtsXwQP37MOrbx1AuFfG+efKMLb5nSzRTlarqlCFolRrP5d+VzV11Zfimx/mwTTNpdK/BgyzlqxQ+5LcgLFcQcG8tt3FQhq6UUs20o2lJAUB8Hp8lvuXJKlWOUCUlu7MEyGKtX8ChNpPUYQIofZTFGvTieJSJYLlL+RXLohbHYChU9SXv1GrWGEYOkxzqeqFYcIwjKXHV94bwzBgGAZ0Q4dpGNBNHYa+iR1kPdECAK5TCaee+FD7KQoCICy9H0vLf6NqD5qu1ZJXqqs6RS0hpJbg4IDD4YLT4YRDdsLhcEBiVQfapZSyggtPXMT8pQXsu30MvvDG+8lQXwi3vPkWTJ+extz52U7aXRHR/5+9Pw9vJL3vQ99vrdgJcF97757ee/ZdMxppJNmWN1mW4ng5UeLYshMn9nWuncSJr/0ofo5jO9f3+J6cm9hx4v0kjhLLciRZkq3RjJYZzaJZep/eF7K5gsQO1PrW/QMgCDbAJkgWAZD8fuaZp8FC1YsXhapCod5f/X7kC3ux9JVUzswAAJrCy9FEREREtDY8gyQiIqJNo+kSjj8eQrpYwq/8+29hLlVqON+FGwu4cGMBf/3KDfzKP3wChx8K4eKbJV7Yp23NdV1YtlEt52BX7oC3bRNiHRE9i4PlXuV/4bmVaW4lmGF9UUKLgRRApQ6yBEiyjEgoilAoDFlSoCgyZFmBIssYHIhDD6rwhAw5XyhPV1ZOv77Cu1lXXzudJElQJAWojuVr625LuA6E50G4LoTnwnUFhHDLgQ+eB9d1y4EQrgPXdVf//D0PnudWAx/qQh8qAQ9LAQ7y0t+y3DDzhQcPllMufwJjeWYHTdGWAhxUHbpe/ldhTW3aJnJzOZz927MY3D+IXad2QdUbX35RVAV7HtiDvj29uPbGdRRT9VlQiIi2qsUMDbXlqTR1/ec/RERERLQzMaCBiIiINs2hUwGUHBu/9B9fRjpnrjr/hRsL+NX/9C3823/8NHYfDOD2ldWXoZ1BD8oY2hNAV78GVSsPnDqWQGbOwextE5bRuSk9bNuCaRkwrVIlcMGCZRvLago3YylgYTFQwfElYGGRLMlQVBWqUv5fUcrlA9LZFAb6hqHKChzPhlcZ6h7oG0Ys2rWsDQlArCsGVZPg2B40jSVkNousqJABSE0OCgjhwnUr/wu3EujgwKn8LRazLDTI0AGgmumh/OnXb7tLGTSkSkYNufpvo8QOjmvDcW3grhIWmqpD13QE9AB0LQhd06HyTk7aqjxg5toMFu4sYO9De9G7q3fFWSPdUZz8wElMXZ7CxLnxtWViISLqQG4l0BIAZNQGNPB7nYiIiIjWhmeQREREtClCERl9Qzr+zX95talghkWXbqfwmZeu4vvfcxDjV80Vx9ZoZwiGZew+GkbPoI5c0cKLb93GfKac6aM/Ecb7Hh7D6MEQFqYt3LpYhFVq3wCQ49gwLROmVSoHMJgGLNtYlm1htRIJi4EJwnMhFrMsCAEBAU+sLQCilqKoUCup/xcDFRRVg6qo0BQViqpCkRtnUUhnFxAMhADPg2OX92VJkhAJR9fdH2o9WVYgywq0FeMfygdb4bpwRTm4wXEq/1eCHVzXgVghEMerZHgAAPeuDBvlUiLlLB6SJFUeN87qYDsWbMdCobRUmkiR1UqAQwC6HkBQC0Dl3Z20hdiGjSuvXEFyJIm9D+9FIBxoOJ8kSxg5MoKesR5c//Z1ZGcyLe4pEZF/HGfpnEGu+cpnQAMRERERrRXPIImIiGhTDO/RkEyV8ObFmTUv++VXb+Hjz9+HvmENc5O8w3uniiZUHH4kiulUAf/l/z6DV89OwXGXD5T+4efP4+lTI/jhDx3G8adiuPR6HsXc+gf+m+G6bjVowbLMavYF13WabkN45XIA1eAFISBQKQuwjigeRVGhaTo0VasELujVAAZV1SDfI43/vYIsSkaxWm7C9Rx4lYHqSDh6zzZp65IVBbKiQNMaD7h6wr0r2MGG49jVwAevwfbrCQEXAq5Y2kckAKhkcZBlGRJkKJIMSVbqMjq4wkHRcFCsKVshywoCehC6FkBQ1xHQg8zkQB0vNZlCdjaLXad2YejQ0IrzBaNBHHvuGGZvzOLWO7fgWs1/vxARdQqn5txYkpihgYiIiIjWj2eQRGu22r2VzfPvpmP/WpJ8fH+bYePv1J/310wrnq/1v/37XFrf92a0ertr5v2t3ic/e93cGm/tvr7RVxsY1fDnL7wLsY6G5tIlvHFhBgdGezE7uZ6L+K39jP37/DrvGOzvOmheKCLj8KNRnL8xj1//49dhWo2DFGxH4KW3JvD6hWn8yo8/gcOPJXD+lRzMkmiyV/d+h7ZtwTRLMMwiTLMcxGA7VtNtCbGYbcGFEG6lTMRqQQv17ciyDF0LVIIWysEKqroUxNDoTvfV313ZvXqSzS/dHey4DrxKi5FIvPr43m133jbdiL+9bO13qJ/fDE3NJavQZLVhpgfP8yrBDiZs24FtW5WMC05dhhGvvABcbykd9dJrKOVAh2rAg1K3jbtCoGgUUTSKi61BVTQE9SACgRCCgRB0Tat+323l72y/vq+a7dFq8wlIkHz8TvOz76u/lp+f3vq2KscRuPHWLSRvz2P/I/sRjodWnHdg3wASQwnceOsmUhML63q9RvzaHzpxX+hUW2Gdr/+T6szfqq28ttHsumvmGOTvWYRfR9j1/SKwHKc6RZbK715CubzUvdps7jNu9Te7f7+Kmvst3vxWda9eePeYZ62v1+w+5ddxqvnX82ev8fP9+XWe1Pzxzq+5Wn1lw7/P2K/X6+R1vngMXXy8Hs1/N/rzfeXvN7FfxzI/tfKXjI/rXJYBXQcUGXBcwLLWdWNN86/YqVdNW/v50cYxoIGIiIh8p6iAHpBxbWL9qZKv3Unj6D1qTdP2tu9EGBNzOfz6H70O014940LRcPBv/uBV/L//6bPYezyES98urLrM3SzbhGGWqgEMhlnOutDMTxzhifJd6F554HaxXET9j8KVfwxJkgxN06qBC+V/y38rDe8839wfVp7nIVfIVB8LrxxcJEsywqHIpr42bU2SJEFTNWiqilBw+XOO48B2LDiODduxK8EOdsMSFp5wUf6vpm15McBBWTHIwXFt5Es28qUcAECRFOiBIIJ6ECE9iEAgCFliZhHqDLlkHmf+5ixGj45g9OgIZKXxtqmHdBx++j4sTCzgxps3YBvMXEVEW0Nthga55jtbY0YlIiKilpO6YpD37II8OgSpJluSKJXgjU/CvT0BGM2XDCZqNZ5BEhERke9kpXzBympiIHolpu1CUbbunXi0fuGYgu5+Hf/H7327qWCGRUXDwZ996SL+5SceRSBUgllqvKznebBssxK4sBS8IMTqr+V5XiXTwlLWBc9zG6bZb6gy4KtrOrS7AhfKd6t1jmKpUB1sLpebKItEYitmhCBaiaqqUGsumixuQcJ1YVUyOVh2+X/btur2qWrZCixPXy3XBjrcVa7C9VyUjAJKRgHpyjRdCyAYCCEYCCIYCEOVlc15w0RN8ISHifN3MD8+jwOP7kesL7bivD1jPega6MKt07cwd32uhb0kIlof26ktNVUT0MCSE0RERK0T0KE8cAJKfx/s+UmkXvhjmFNX4dkm5EAEoQMPoOvBD0E7uA/i9gTc85c2kLGBaPPwDJKIiIh859rlE99ouEFO8iZFQxochyfQO9Hg7gCmkwW8c2XtAzavnZ9GOmdicE8At98tAiiXjSiZRZRKhWrpCOGJVdvyPAG3ErAghFMuF7GGGiqLwQoBPQhd16HrQeiavmWCAXI15SbcmjvsYpGudnSHtilZURBUQghiKe2+53nlAAdrMcjBhGVZ5XItNTxPwHUF3MVwGwmQJRWKLEOSFCgNsjhYtgnLNpHNl//W1QBCwTBCwTCCgeCyO0iJWqWULeHcC+cxeHAQe07thqI1DrRRdRUHHj2Avt19uP7GdZgF3kFFRJ3LqQlokOVyFhpVUbfMuTAREdGWFwxCffIhuFYBM3/2qzBunaubxRi/gNQ3Po3o8WfQ9x0/CSUchPvt01hXDWGiTcSABiIiIvKdEEAu6+CRI4N49dz0utp4/NgwilmePO9EPUMaPv3i9XUFhDuui89//SKePtqPialpGEYRjts4PXcgKCMUU6AoEhxXwChZyKVNCNctBy94zVWdVRQVAT0AXQ9WghcC0LVA9cLtcltjmxZCoFAsp+33PA9updyEoigIBleu907kB0mSoGvl/WiR53lwHLsc4GCZ1WwOyzKreIDwHIiauAdJLpeoUCoBDnfvl5ZjwsqbyORTkCBVMjeEEAqGEdADLa3BTjRzdQapyRT2P7wP3SPdK84XH4zj1Heewu3TtzFzdaaFPSQiap69GBArLWVoYHYGIiKiFlEVqI89AKeYwuSf/QpEMbvyvK6D/JkXYc3dxsiPfgrKqeNw36kPfiBqJ55FEhER0aaYvu3guYd34Q8/fx4Fw1l9gRrH9vVg93AMb38zv0m9o06mB2TMLhSbmle4NhzLgOsYcG0Trm3i3PkSDvXZyBdy9QtIQCQuId6vIBQFbNtG0TARkIBIr4xov4T8PJBZAO6Og5AkCYFAqCZ4ofyvsg1T1hdL+epA8WIwAwBEwyw3Qe0hSRI0TYem6YiEo9Xptm3BtIzy/6YJ27GWLecJFy5cCNiwyw1BrgQ3KJICWVnafz14KJkllMwSUtkFyJJcCW4oBzjoHVYWhrYnq2jh3W9cQt/uXux9aC+0QONsV4qqYN/D+5AYTuD6G9dhG42D94iI2mWx5IQMqVoSSlfXn8GPiIiImifv3gUEdEz90a/dO5ihhjV1DbOf/T8w9EP/CuLmOLx0ZvWFiFqEAQ1ERES0KWYmbOw9rOM7n9yLv3jx6pqW/ch7DyKdspFLr14WgLYfSQLcBukZPE/AtU04tgHXLgcwCFEfLCM8rzro7nkehChnXIDkYGCvilBEwa2pLN755hyuTWaqZSQSsSDuP9SHkwf60DsSQmoacIoaQoEgAnoIuh6oe63tqjYYpDbDRTTKchPUWcpBDhqikRgAQLguDNuEaRqwLBOmZS4vVeF5lSwOTjnAwZHKmRskFYqsQpaXAnaEJ1A0CigaBQDlNNnhYASRUAShYAir52+h7UQIgW9e/xpc4UCRVbxn/3tXyMTjj+TteaRnMtj74F707+lbcb7ukW6c+o5TuPb6NaSnUpvWHyKitRBCwKlkaJClpWOlqvBSNBERUSvIu0eQO/NVuLn5NS1XvPomrNnbUPaMwWVAA3UQnkUSERHRpnAd4M51G//bdx3F9ckM3r4019RyH3v/ITxxYgjn3yhtcg+pU1mWQE8suBTAYJXgWCW4tgFvlZINEjxEdAmpVBYlM1vNMiArEsYOBWEJF3/8hUtIppe2L1lWoGg6DBHAm9ctnL+Twsc+eBTPfnAIt98tIZvcWXe9ep6HQmmp3ITwyutQVVQEAyw3QZ1NVhSElTDCwTCA8jZsWRasSpCDaRlw3ZpAKM+D6zpwUQlwkCWokgpZViDLKuSajCSO6yBbyCBXyECSZISDYYRDEYSDkU0d2KbOMF9IwnRMAIAjXMwXk+iPDmzqazqmg6uvXkXyVhL7H9mHQLhxYJ0W1HDk2SOYvjqN2+/cgnAZEEpE7WXaSxmTar9LdY0ZGoiIiDab1N8LORpF9q0vr2v5zLf/Gn3f8RNwL1wG7J11TYw6FwMaiIiIaNPcumIhEJbwKz/+BP5/f3EaX33jNsQK49EBXcGPfOgwPvq+Q7h6roSF2bWVqaCtTwiBkpHHu2fS2JMwkJ29sWoAgwwBWRKQ4UFGeeD98FgEmWSxGswAAEN7A3A8gT//yhWUbBmhaDcUVYeiBaDcdaeYAPDpr1yG4wg8ff8IrhkujPzOGRwyzRKEW19uojbNP9FWUS4VE0AwEAAqGUZsx4ZhlGCYBgzLgKgNcBBeObShkplEkmvKU8hKTfYXgUIpj0IpDwlAIBBCOBRBJBiBynTa29JMbnr539npTQ9oWJSeSuPMF89g1/27MHRwaMX5hg4OIT7QhSuvXkUxVWhJ34iIGrFqAhpqy7OFAjsn4xkREVG7yL09sOYmYCcn1rV84eIr6P/wT0PqjsObTfrcO6L1YUADERERbarLp004loef+6EH8aMfOoIvvHIDX3t7AqmsCUWWMNQbxgcf34MPPrYHAU3BpXdKmJlg9O9O4LouSkYBJSOPYjEPwyzBg4dUXsHB+6PYNRjF7Zml0gcSvGXBC1KDYIddgzF0dwVw61IRkiRB1wPo7o3iyPF+/OEXr0CNjiDWZP/+8mtXcWAsjr7RACYu7ZyMIfni0jqvvZM9zIAG2iY0VYMW1RCLdpUzONgWDLMS4GAWUXto8YQLR7hwAEACFFmt/r94x6kHVJYvYQFJaKqOcKicvSGoB9vxFslnQgjM5WeXTZvLz0II0bLsHK7j4uabN5GaSOHA4wegh/SG84W6wjjx/AmMnxvH1KVJrBIXSES0KQyrJqChJkNDQGNAAxER0abTVLiF9LoXF0YBnutC0jT+nKCOwYAGIiIi2nTXL5qYum1jZI+GH/7gEXziu48te75QcDBzw8H0eAm2xVPl7UoIgWIpj2Iph1KpgJJZbDhfPusin3Pwwcd24Y8/fxYSBBQIrDYqo6gqPvjUfYiGezGQ6EdgIAhZlrHrcAhFx8L4zNqCEjwP+Nrbd/BDH7gP09cNOPbO2DYLxXz1sahkaJAkCaFKCn+i7USSJAT0AAJ6APFY+ThlWkYluKEEyzKXZvbKQT6u6wASIEtqOXuDrEKpGdS2HQuZnIlMLgVV1RAJRRENx6BrjQegqfPNF5JwxPLMUY5wWlJ24m6ZmQzOfOkM9j+6Hz1jPQ3nkRUZe+7fg8RQAtdeuwqrZDWcj4hos1jLAhrKGRoUWWHJCSIiolbwPEjKBoZ/JRmQJUDsnGyl1PkY0EBEREQtUSoIXLtg4sa7JmIJBccfDkELyLAMgW+/WIS0ehO0xXieB8MsolDMoVjMoWQU7llCQggXQjhwhY2r53IY3q/jOx4dxle/fRveXYtJkgRF1aFqQShaAFowhB/7zmN46PAgrp8pIBQsB0AoqoR4n4Yvv3BjXe/h7Uuz+Mh7DyAxqCE5sf0HhGzHhmUZAABXuNVPKxyKVFPtE21nsiwhFAwhFAwB6IbrujBMAyWjiFJNORZ45YAfIRzYMCHLcjmwQVKhKEuptR3HRiaXQiaXgqYGEI1EEQ1FWZZii6ktN/Hww9/Gm28+Up7ewrITtRzLweWXL6N/fz/2PrgXiqo0nC8+GMep77wf1799HQvj8y3uJRHtZIZdDgiUpPJ3KwAEGNhHRETUEp5hQhsbKgcmeGsPStC6ByFJMjxz+18Ho62DAQ1ERETUUkIAmQW3GuR790A1bW2WbVYDGIqlPFzh1jy7/MNeDGBwhA0hHHg1G4OTA6ZveTh1sA+xsIaXz0whXfSgakGoegiqpkOSyndEjw1E8T3v2Y+DYwncfreEUn7px5oekiHLEi7fSq3r/diOwI3JDIYjXQC2/w+5Qk25CVFzN3I4FGlHd4jaTlEURMIRRMIReJ4H0zJRLBVRMopwnKXySEIICGHBhgXJkaDIClRZhSyrWIwFsh0TqYyJVGYeAS2IaCSKSCgKdSN3ztCmqy03EQgY+OAH/xbnzp2AaQZbXnbibnPX55CbzeHgEwcR7W1cFkjVVdz31H2YvT6Lm2/fgHB4lxURbS4hBCy7/B25mJ0BAIIBlpsgIiJqBTE1A/3IIYQPPoTilW+vefnYAx+EKBbgpdL+d45onXjlhKgBD51TarS5eyH9u2Oyufft39pZe89bcXfo6u+vuTXgX1/9fNf3ujt6M17Rr5aa63ezVu9VM/329zixemvSlt7XV+u71PLjrr+fces+Pz/75Mce6rpuuYxEMYtCKQfbvnvQf+k1hHDhCrvy//IAhrvnliUZwgzBynTh2cf24yPf9QxuTuXw+vlpZPLlO766u4J44vgQdg3FUCw4uH62iGJOLHtNRSk/NiwX61U0HMhdgLfq+mrtftyMte5XhWK++j5rMzSEQrF17aPr36+3dzaI5t9dp5yRLmn1OVCrjmVNkSQEAiEEAyEAvbBsCyWjhJJRgGka1dk8z4PjOnBcB5AkqIoKVdIg12RuMGwTZtrEfHoewUAI0VAMkXB0hYFxv7YDv35ZSE0cD4Hm++3PZ7xZ527JmnITR468i0DAxOHDl3DmzP2rlp1o/vXWvw2X8ibOvXABY8dHMXp0BJLcuK2B/QOI9cdw5dWrKC4UNrFH69N556atP9f3aztvlresxZX269b+Bms9v87dmt2C/Wmr2TXZ3Fbn376w2JJp29W/ZEmuPg5qgabWQauvfzS3Dpo9A/Jnfbb+TMrPdeDPXH6uc/+u8zV7vuHXvt7c2mxuO2+Gf0cXf7dzf7YXP9dBJ65zP1tp5X7l79lBq49lfrbk82dcKMKdnUPXw9+15oAGSdURe+B5iFuTPt2F1tp14K/WfsfQvTGggYiIiIjWxDCKKJRyKBRzKJUKWOnUXHgCQthwXAfCsyHEykEFsqwgFAwjHIwgFAwjEAhVSxxMXATSiRJ6hkP4+POHqmlrhfCQmXdw9WwRhXTjtt3KjaiaJqNkru/9BnRlR5QN9DwPxVIRQPmzc1FepwE9CFVVwZ9gRMvpmg5d0xGPxeG6LkpGEcVSEYZZguctpSFyHBsObMCVoMpaJXNDTXCDWYJhljCfnkM4FEFXNF4JmqBOUFtu4tixC5V/z+PMmfvLz7ep7EQtz/Mwfm4C6ek0Dj5xEMFI47ugQ7EQTjx/HBNnJzB5aZKHdSLaFFZNgLMiM0MDERFRO4hbEwg/+iDChx9D8dLrTS/X/d6/C1kPwR6/s4m9I1o7BjQQERFRy2kBqZqCe6MkCdADEhRNgnA9WKaHe4yb0zoIIVAs5ZAvZJAvZOG6TsP5PM+DKxy4woaoZGFYiSwrCAcjCAbDCIUiCOhBSNLK9wHk0y7ylaAFuTK23sznbBsCnudh73AXzlxJrr7AXSRZwp7BLpRS2z+ioWQUq4Owwlv67EIsN0G0KkVREI3EEI3EIIRAySyhWMxX9qvKqLHw4AgLDixIsgxV1qDIKpRKVgYPHgqlPAqlPDRVRywSQzTSVX2eWk8Id1m5if37rwEADhy4hkDA6IiyE7VyyRzOfPkM9j20F/17+xvOI8sydt+/G/GhOK69dg1WafuXUyKi1jKsmoCGmh99AY0BDURERK0iZubg3LyNwY/8M8z8xb9D8eqbqy6TeObjSDzx/XDePgOY/J1AnYUBDURERNQSigIMjGkY3S0jEter0wMhGace1zF5SyA54zR9t2AgJGF4t4bhXTL0oFadLlyB2UkHk7cs5NLbfxB6sziOjXwhi0Ihg2Ipv3S38V2qZSRcG65nNywjAQCSJCEUjCAUiiAcim7o7uN7xEnUsS0P2QUHz9w/uq6AhhP7exGLaLhzMb/mZbeaYmnpPbruUrRImAENRGsiyzIioTAioTBcIWAYReSLBRhmsfod5wkBW5iwYUKWFaiyCkXRIFcGfmzHwkJmHqnMPMKhCGKRLoSC4Ta+q51pvpCsBucdOfIuVLV8bFRVt+myE63m2i6uvnYN6ak09j28D6re+LJPfDCOU99xCtfeuIbUnVSLe0lE25lpLaVFU6RyhgZFVqBr2kqLEBER0SZwz18CZBmDH/+XyL3zFWTf/BKs2Vt3zSUhtP9+xB/7XoT2nYJz5gLEnemG7RG1EwMaiIiIaNMN79Zw4KgGSRLIn/8Gps5/A04+Xb5DNTGI2AMfxLGHH4BVcnDxHRuZhZVvvZck4OAJHcO7dLilHHJvfBlz196GMIuQNB2B4QPofvi7MfSeMWTmTVx4y4JlMqdyM8qDblnkCxmYZglAfbW4chYGu/r/vcpIBAIhhIOVAIZguG13ry5M2zh4PIHB3jBm5otrWvaZB0aQTTmwje2/DdUGNCxmaJAkmanviTZAkWVEwlFEwlG4rotiqYhCKQ/TNKrzCOHCEi7gmlBlFaqsQ1HKA0AeUM3aoKoaYpEuRMMxqAp/yrdCo3ITS393VtmJuyVvzyM3n8ehJw4i1hdrOI8aUHH4PYdx58IdjJ8bZwkKIvKFWSk5IUmolooLaPq9FiEiIqLN4Hlwz1yAl84ieuhJdD30IRgTl2FOXoGwDcjBCMIHHoKWGIBIJuG89ha8+YV295qoIV4FISIiok2155COfYcDSL/yl0i/+lmI0vI73a2Zmyheeg1qYhA9H/gHOPX4w7jwlon5mfrb8CUZOPlIAPGEh7nP/1/In/9m3e361tQ15N76GwR3HUXfd/8TPPR0L9551YBR5FX6uy2WkigUssgXs3Acu/F8nlsuJeFacMXKWRhURUM4FEE4HEU4FIXSIQNu2QUHxbyDv/ddR/F/fvodmFZzNUmefXAUh3Z14/rZwib3sP1c16kOsLrChVcZ1QqHIpD8qg9DtMMpioJYNIZYNAbHcVAoFVAsFWAt3snqAY7rwHEdyK4MRdagKhoqY0FwHBupzDzSmQWEghHEYwkEA8H2vaFtbqVyE4s6texELbNg4txXz2Ps2BjGjo1Ckhsfz0ePjSLSE8HVb12FY60hDRIR0V2EELDs8m+KxewMABAMsNwEERFRu4jbExC3JyD19kDbNQLtwBPlVLqOA6QKsN95GV5++1/7oq2tM64yExER0bY0tEvDvsMBzP317yL39t/ec14nPYPZv/gt9H34p3HswefwzquirmTE4VMBdMUFJv/0/wVr+vo92zPGL2Lyj/4Fhn7s3+Dko8N462UDLq/Rw3Vd5AsZ5AsZFIq5FUtJuMIpZ2BwrWq67btJkoRQIIxQJYChk+/kv3WxhAP3R/AzP3g//tNfnUW+2Dh4Y9H7HhnD9z1zAFM3DOTTzQVAbGXLszMsvV+muCfaHKqqIh6LIx6Lw7Jt5As5FEp5iEq5FyEEhDBhV7M2qNUgMQ8eikYeRSMPXQsiHksgGo7WZdShjVmp3MSiTi47sYwHTJyfQGYmg4NPHEQw0nhQMTGUwMkPncSlly+hmFpbNiMiokWL2RkAVMsoAUCQGRqIiIjazptfgMsMDLRFMaCBiIiINoUsAweOqMi89rlVgxmqPIHkX/8utN5R7Du8H2deW6q/GkvIGBzTMfXf//dVgxkWCSOPmT//NYz99L/HyB4d49es1RfahhzXQaGQRS6fRqGYQ6Oc0p7nQQgbTqWUhLdCKQlV0RAJRxEOxxAORTvubtSVWIaH62cK2HM8jF/+8cfx+vlpvHxmclkJCl2T8fCRQTxz/yiG+sKYvF7C3B17RwwSloyl9SBqAljCoUg7ukO0o+iahp5ED7rj3SiWisgXsjAWS1LUZG2QXAlqNWtD+chk2QbmFqaRyqiIRxOIRbq2zHG5VS7NXMBstXRE89manJpj4d3lJpamL5WdODt5Gqq89kssA7EhHBk8uubl1iqXzOHMl89g/8P70Lenr+E8gUgAJ95/AtffvI75m3Ob3ici2n5KNSWVVJkZGoiIiIjIHwxo2GKEEPjYxz6G8+fPAwB+4Ad+AL/xG7/R5l4tyefz+MIXvoDXX38d586dQyqVQqFQQDAYxNDQEI4cOYLnnnsOH/rQhxDgjxkiom2tf1iFqslIv/pXa1vQE8i88hkM/dC/Qihio1QoZxAY2aPBnB1H6epba2rOzaeQP/0CRo5/B8avrT7/duG4DvL5DHKFNIrFPBoN4txdSgIrlJII6EFEwjFEwjEEt/Ad+2bJw9V3iugb0vDI4SE888Ao5tMlFA0HmqqgJx6AqshIzzm4+k4BxXzj7BXb0WJAg+d5EF55EE9VNGi8m46oZSRJQiQcQSQcge3YyBfyKBTzcCvphTzhwRYWbNcqZ21QdCiV4AXXdbCQSWIhM4+uaBzxaAKqyp/7nudhJjcBy1l/iqZG5SYW1ZadcIULd4VgwHuZyd3B4YEjLSnv49ourrx6Fdm5LPY+uBeyUh/8IqsyDj5+ENHuCG6/c2vFMlNERI0UjVL1sSItHWPCHZzJjYiIiIg6H69wbDH/9b/+12owQyexbRu/+7u/iz/8wz9EoVBfayefz+Pq1au4evUqPv/5z6Onpwc/8zM/gx/5kR/hHURERNvU6B4FhUuvw82n1rxs8drbsDPzGNkTw7ULJlQNGBhRMP/lL6yrL9k3v4xdj30PegZsLMxu37oTjmMjX8ggl09XSgg0CGIQLlxhwXGtZXfiLyNJCIeilSCGKDR1+wxqC8fD7ISF2QkLsW4V4ZiMoBqAsD3Mpi2k5xy4zs4avHGFC8sqZ0MRnqhuNcFAsH2dItrhNFVDd7wbia4EikYR+UIOxuIgUU3WBllWoCsaVGXxp72HbD6NbD6NSCiKrlgCQX3n7ssluwjbqQ8yiETykOXVg9ai0Ty+93s/V1duYpGquvjEJ/4Yn/vc9yKfj67anhAyCoXl89mOi5JdQlhvXcDg7LVZFFNFHHr6EALhxjcaDN03jHAigqvfugzbuHeZJiKiRYsZGiQJ1aC7gKZDUZR7LUZEREREdE8MaNhCzp8/j9/6rd9qdzfqzM3N4ZOf/CQuXGichrORhYUF/Nqv/RpeeOEF/M7v/A7i8fgm9pCIiFpNkoCuHh0zL728vgY8gcLFbyJx+DsBAF0JBbKioHDxW+tqzl6YhDE7jkTvwLYLaHAcG7l8GvlCphLEsGhpUL6ZIAZZURENx+pKSWzncgu5lIPc2uNtth2j5k46z1satNvK2TiItgtJkhAJhREJheE4DvKFPHLFLIRbHowXwoUhXMiuBE3WoSoaFm/0L5TyKJTyCAZC6O7q3ZFBSmE9gkf3PoULU2eQN3PV6dFoHh/5yGcxNDR9j6WbMzw8hU9+8j+tOt/U1BD+6q8+siygIRqI4fjwyZYGMyzKL+Rx9m/O4r6n7kPXQFfDeboGunDig6dw5ZVLyM/nG85DRLTIdhxYdjkASpGUauaZSIjnlERERES0MQxo2CLu3LmDn/qpn4JpmqvP3ELJZBI/9mM/hps3b65r+VdeeQU//uM/jj/+4z9GNLr6HS1ERLQ1qFr54pVbyKy7DbeYQ7DSjqpJ8ISAMNZ/MV0UM1C1wXUv30nK5STSyOZSKBn1mZGA8iCXIyy49whi0LdJKQnaGMNcCmioTZceZGpgoo6iqioS8QS6YnEUinlk8xk4lVIKQngwhQnLNaEqOjRFg1wZSDLMEqbmJnZsYENXMI7H9j6NG8mruDl/DR48zMwM4fd//yfxnvd8A88++w0oytpLRTTLdRV8/evP4JvffAZClO9QliBhX+9+7Os7AFlqX8ZCx3Rw8aWL2H3/bgwfHm44jx7WcfR9x3HzrRuYuz7b4h4S0VaymJ0BAFR5KSNDJMhzSiIiIiLaGAY0bAETExP4xCc+gbm5uXZ3ZRnXdfHP/tk/axjM8OCDD+IHf/AHcezYMcTjcUxPT+O1117D//gf/wNTU1PL5j137hx++Zd/Gb/zO7/Tmo43ZaP3o/qXqrrVSa+be+f+3a+71vfnrfja/q0pqeX3I6/ed3+3g9Xfn59rwPOt91u1381pZrtrvkf+9H0j+8JiuWVJWf+phqQo8LzyJyE8QJJlQJIBb/UU0Q3JKoQAFreU5tZSs+ty848bQggUihlkcykUCpmGPRPCgSNsuK4Fb1kQw1L/dD2IaKQL0Ugcut44zXQtP/eFZtaSn3ueX8fz5teBX9uBf6/XTI8Mo1idczFDgyTJDbaPtR+nGn9vr/7+ml2Tza2p1n6vt347b0bnlVFpvkf+bOet348375VkWUIs2oVYtAtFo4hcLgOjMojkeYDtWLBdC6qsQVX0asrvkllCaW4CoWAYia6edZeiaH5NtnrrXLklSZKxv/8+9McGq9kahFDw9a8/h0uXjviWreFui1kZZmaGqtOigRiODZ9EVzBe7bXk2++BtW9VngfcfOc28gsF7H90HxS1Pi28rMjY/+gBRHqiuPnWTXhisTfNHM/9PKJv3fNlf95dc8ey1q9z/7bO5nrU7Dr3Z135u8790ep13qyCYVRfVZGV6nlgKBiuOSf0b29oRqs/4+beXTPH/GavzrVuP/Zz32tGq/d1P68Q+HVttfl93a/PuFn+rE9/z847bx1s7uut73e2vzpxO/CvJX8/v2a07lu7834ZN8+/Y7CfOvE7ZntiQEOHe/fdd/FTP/VTmJ72/+LKRv3pn/4pXnvttWXTFEXBv/7X/xo/+qM/umz62NgYHnnkEfyDf/AP8KlPfQqf/exnlz3/xS9+ER/+8IfxoQ99aLO7TURELeDYgHAEtN4RlG6cXlcbWs8oFhMTWYZXmTYMe/7O2huT5PKydzpvUG81xWIO2XwKuXwaQtTfQboUxGDCa/A8AAQCoWoQg6bpm91l2kI8z6tmaBCegEA5YCgYCFbTBBNR5woHwwgHwzAtE7l8FoVSvnwVxAMc14YjbKiyClUJQJHL+3TJKKJkFDcc2LAVtSpbw0pZGfb2Hmh7VoaVJG/Po5gt4fDThxCMNt4mBg8MIpwI4/LLl2GX7Bb3kIg63fIMDeXjnKooCDYRRE1EREREdC8MaOhgX/rSl/BLv/RLKBaL7e5KnUwmg//wH/5D3fRf/dVfxQ/90A+tuFw4HMZv/uZvQlVV/M//+T+XPfdbv/VbeP7556Eo9XeEEBHR1jMz6aDnwe9E9ttfXPOyciiKyNEncfVCeVAhk3JhFGzEHvwgFr7yR2tuL3zwIWjROGYnt0b9Z9MsIZtPIZtLwXGsuueF58J1LTh1mRiWlIMY4ohGuhjEQCuybBOinLqkmp0BKG8/nURRJER7NES7FSiaDEmS4LoCVlEgm7RhFDYvXTzRVhDQAwj09CPhdCNXyCFXyMITohLY4MARTiWwoSZjQzWwIYLurh4EdsiAkyzJOLCJ2RqaycrQqYrpIs7+7TkceuIgEsOJhvPEemM4+cGTuPzKZeSTudZ2kIg6lud51YAGWZYhVQK3wh12TklEREREW1Pn3RZAKBQK+OVf/mX83M/9XEcGMwDAf//v/x2ZzPK66M8///w9gxlqfepTn8KJEyeWTRsfH8cXv7j2QS8iIupMk7cdBAbGEBg7suZlY6feD+FJmLmzdPff5G2B2P0fgKSufXA+9vCHkZq1UCp0boYG27Ywn5rBzdvv4ub4u1hIzSwLZvA8D45rwjCzMIw0bLtYF8wQDIbR2zOEPbvvw67RA+hO9DGYge6pZCyda7o1GT6CHXLxWZaB/rEAdh+PIjGo48pkGi+fmcRLb0/g2+/OwICD0UNhjN4XQriLsdpEqqqiO96N0aFdSMS7IS8Gi1cCGwy7CNM2qoFMAFAyCpicHcfs/DQcZ+fcdb+YrWFf78FqqubFbA1XrhxcV5tXrhzEf/7PP1kNZpAgYV/vQTy296mOD2ZY5FguLn7jEu5cWDkjlh7Scey5Yxg4MNDCnhFRJyuZRrXuoFqThSYS6oxzSiIiIiLa2njVr8N86Utfwr/9t/+2YYkJVVXhOI3vwmwlz/Pw6U9/um76P/kn/6TpNlRVxS/8wi/g7//9v79s+qc//Wl8z/d8z0a7SEREHSCXFsguWOj90D/E1J/+MjzbbGo5NTGI+FM/iOlxF27NTddT4zb2Hgqh+/3/Gxb+5r803Y/w4ccROXA/brzReUGCQgjk8mlkcwsolurvcvQ8QAgbjmvCFXblIuHyoIxAIIRYNIFIJAZtHcEetLMZRqn62FsW0ND+FPSKKmFofxBQgBffGseFG/OwbbFsntfOT2OwN4zHjw3h4P4EkhMGMsmdMyBLtBJFlhGPJRCNdCGfzyCTb5yxQVN0yJWMDYVSHsVSAfFYAolYd3X6drZStoY33ngMhw5dXXN7b7zxWLXExFbJytCQB4yfHUd+IY+Djx+EotVnUZQVGfsfOYBQLIRb79xqQyeJqJOUjKVyE7WZV5mhgYiIiIj8sP2vUGwRr776Kn74h38YP/dzP9cwmGHfvn341Kc+1Yae1Tt37hzGx8eXTTt27BiOHTu2pnaefPJJ7Nq1a9m0119/HbOzsxvuIxERdYaLp20oPbsx+PF/BUlf/WKW2j2EoR/9FEqWjhuXlpdasC0PF09bSDz6YXQ/9yNNvX740CMY+MjP485NE/MznZOS3jCKmJkdx7Wb5zA9e6sumMF1HVh2ASUzDdPKwXWt6h1PAKBqOnq6B7BnVzkTQyLey2CGLU5WJQRCEoJRGVqwdafohlkO9PE8DwLlfUTXdChKe+OeZQkY2heEDYH/+2/exenLc3XBDItm5ov4X9+4jlfOTqFvLIhoQmtxb4k6lyLLiHdVMjZ0JSDJ5UwEi4ENJbsI0zEgKt8xHjxkcilMTN9GLp9F5+Y18ldXMI6jQyerf6vq+m4kqF3u6NCJrRnMUCN1J4VzXzmHUq604jzDh0dw6MlDS9sWEe1IxZogWVUqBzRIkBAOMqCBiIiIiDaOGRo6xCc+8YkVn/vwhz+MX/u1X8P58+db2KOVvfzyy3XT3v/+96+rreeeew5/+qd/Wv3b8zx8/etfx8c+9rF194+IiDpHqeDh9GsWTj16GKM/8dvIvPpXyJ/7GjzLWDafEutB1wMfQOzR70XJUHHmDWtZdoZFc1MO3j1dwuEnfwCB0cPIvv45FK++BXjLBzr1oX3oevg7ETv1fkyPO7h63qpvrMVc10Uun0I6Ow/TrM8WIYQLx7XgCBMQ9QO3sqIgFkkgFu1CMBhuRZepBWLdKrqHNMR7VUjS0mCQYbhIT9tYmLHgWJszpOi6Dmy7vG8Iz4VXGboMNBF8tNniAzqUgIz/9qXLyOSa239fPTuFcEDFyQP9KGYdCLFThmKJVlcObEggGu1CLpdFtpCBJ7xyYIPjwHEdaIoOTdEhSYArHCTTs8gWsuiJ97a7+y2xUExWH+/ff31dbezbdx0XL5YD/VPFecRDCT+61lalbAnn/vYcDj5xEN0j3Q3n6d3dBy2o49I334Vrd04AKRG1Tsms/L6Tyt85ABAMBHZEth8iIiIi2nwMaOhgfX19+Nf/+l/jwx/+cLu7sswbb7xRN+3hhx9eV1sPPfTQsoAGAHjzzTcZ0EBEtI3kswJvvmJh76FuDH7wH6Ln+U+gePl1uPkUJFmG2jOM8P4H4VguJicEbl0xGwYzLJoed1AqeNh78D4M/Z1fgp2ZR+n6WxBGAZIWQGDkPgRHDqCYtXD5rIXp8famny8Wc8hk55EvZODdFXjheYAjTDiOCU/U3w0qSTIikRhi0QTCoWhlwJuDtNtBMCJj1+EgQhEV1ycy+NyXJjGVLMBxPURCKk4d6MMTJ4YxuCeAuQkT0zebK9myFiVjKbBGeDXlJjrgTrpYr4bTV+aQyhqrz1zj5dOTOHmgD7EelaUniBpQZBmJeAKxaAy5fA7ZfLpazch2LLjChq4EoFaytFi2genkHXRNqhgZG4a0jZM8LhTmq4/377+2rjYOHFgKhFgozGNv74EN96sTuLaLS9+4hLETYxg7PtZwnq6BLhx//gTe/dpFWKX2B5ISUetYtgXHdSBhKTsDAEQ64JySiIiIiLYHBjR0IF3X8WM/9mP4R//oH6Grq6vd3alz6dKlumlHjx5dV1uNylScO3duXW0REVHnMkseLp2xcO0iMLRLQ0//44gfliBLgPBkvHvawtyU3SgxQUOZBRenX3cRilgY2RNDdOxZqCogXCBdkjD9rSIy8+27Q9BxbGRyC8hk52Hb5YHo2kTMwnXguCYcsbyUxKJQKIpYNI5IpAuKXF+3mra2UEzG3uMRTMzl8Om/uITp+eUZO+ZSwM3JLL74yk08fnIIH3nvQWgBGeOXVk75vR6GudSeEDUBDW2udRxNqNB0Gaevzq15WdN28e6teRwc7mZAA9E9KIpSDWxI59LI58ulj4TwYAgDiqtAUwNQK3fW5rJZXLtWRDwSh+d5yzLKbAeucJEupQAAiUQK3d2pdbXT3b2AeDyNTCaBdCkFV7jb6nt84twEiukiDj5xELJSH9wSjodx4gMn8e7XL6KYqc9GRUTb07JyE0pNQEOIWeWIiIiIyB8MaOggmqbhu7/7u/GzP/uzGB0dbXd3GspkMpibW35xubu7G93djVNPrmZsbAyqqsJxlu5KvXnz5ra8SEZERIBjAxPXbUxcB558PoxASIZTEpi5s75a1aWCh2sX6u9cb8c3iOd5KBSzyGTnUShkq+n7FwnPg+uacFwTnqgPttD1IGLRBGLROFRVa1W3qcW0oIS9x8K4OpHCH3zuPBx35Sge2xX45juTmEuV8JMfOYkhU/iaqcGyltryKhkaZEmBrgd8e431iMQ13JnNN11q4m5nr8/j+P4+aLoEe5PKdRBtF4qioDfRi1gkhlR6AUYlZbgrXLhWEZqiQlPLxwTP8zC/MI+5mTz6Ev0IbaPyR+nSQjWL0r5919Hop6gQEl577QnMzfWjv38Ojz/+KmR5+TFGksrlKt5++yEITyBdSqE30teKt9AyCxMLuPjSRRx+5jBUvf6Skh7Wcez9x3H55UvIzmbb0EMiarV8sVB9vDxDw/b5niAiIiKi9mJAQ4f46Z/+afzIj/wIBgcH292Ve7pz507dtJGRkXW3p6oqent7MTMzU51mWRZmZ2c7fl0QEREBgOM6yGTnkckkYTv1A7Cua8NxTQhh1VWLkCQZsWgcXbFuBHnBb0cYGAsgV7LwR1+4dzBDrUu3UvjMi1fxsfcfxPyUDdtsMpXJKqxK9hDP8yBQblPXdF/a3ghZATLp9Qdu5PLlzAyKKsO2WMudqBm6pmOwfwiFUhHpzEI14Nx2HTjCgWFGENHL31OOY2M6OYlYpAs98V7I2yADQW25idqyEYvy+Qj+8i8/iuvXl0pIXL16EB/96GcQiRSWzbt//zW8/fZDlXaT2y6gAQByyRzOv3AeR549gkCkPghO1VUcefYorr52Fanx+QYtENF24XkeCosZGiRUM/sENR2aysvOREREROSP7VsAc4v5+Z//+S0xgJ9MJuumDQwMbKjNvr76Czx3Z4EgIiLqNIZRxNTMLdy4eR7J+cllwQyeJ2A7JZTMNEwrB9ddHswQDIYx0D+KfXuOYKB/lMEMO4SsSoj3a/jaWxOw7LUFJbx2fhpFw0HPkD/ZO4QQsO3yNiu8pb60OzuDH6rZUZjsi2jNIqEwRgfH0B3vhiyXdyLPAwyjhGw2C8ddChLKFbKYmL6NQinfru76Zr6w9Dt3374by567cWMvfu/3fnpZMAMAXL9+AL/7uz+Nmzf3Lpteu3xtoMR2U8qWcO4rZ1FIFxo+LysyDj15CIOHhlrcMyJqpZJpwK18N2iyisUUN7FItJ3dIiIiIqJthqGytCbz8/UXZOLx+Iba7OrqqpuWzW711JSdeAW9uZTLrU7M7N+a8q+lVq8pqeXby+p993c7WP39+bUG7k7xvzF+9ru169yvbcrPfaG5Hvm5H/u1Rpf3yfM85PIppNNJlMxCzVzl+VzXhu0YEJ5ds2rKz8mKglg0ga5Yz7JB4+U9Xb3f/h4zmllPnfi5tJZf67xnQIPneXjj4vSal3VdgVfOTuG9949h5rYFz2vuk1lpnZu2WX1GYGmAUmtJhoZ799wTQDS0/n5EQuWgD9cpv/vm1pOfWnt2szlHu1a8on9a/U3UzLGsmeNGs2uy5b8sJKArlkAkHEM6l0I+n4OHciBULp+D4ZjQlQAkCXCEi5n5aURCUfQk+qAq67nE4M8513q3TMsxkTfLvz+HhqYQDhcBlEtMfOMbz+BrX3sOnle+F0RXA9jbewA3k9dguSby+Rj+5E/+Hp577iW85z3fgCx7iESKGBqawvT0MHJmFpZjQVfvfUzzfHqHzW4rfu0zluHg/Fcv4L6n7kNiqP66gCRJ2PvQPmhBHeNnx5vs3UZ6BDR/Btvabwc/jwmra/YTvrtPm3u0afV5oF/r3K/vhWb5ea7f3PvbWN8LpWL1saosZeyJhiMNW27uc/HvN5F/39n+nW00c/xp9nNp7ljWDD/XgT/H1+bPk1q7TfnVd3+vkfjzin5u536evbVyfbZ6HWz/de4f9qn1Wv/+Wv39QVsNAxpoTfL5+rtvotGNRV1HIpG6ablcbkNtEhER+clxbKQzSWSy83Bce/mTngfbNeC4JjxRf9d9OBRFV6wbkUgXpEZFuWnHiHQpePf2Akrm+sognL4yhw8+tht6SIJZ3NjFZ9teKukgRGdlaChkHOzaE0MkrKFQtFdf4C7H9/XCNF1YPpXmINqpFEVBb6IPsUgXlKBV/f5zHBuucBBQAlAqAQyFUh4ls4TeeB+ikVg7u71mqeJS0P7+/dcANC4x0RPuw/GR+6GrAQzEhnFh8h0sFOfheTJefPH9uHVrD37gBz6DaLSA/fuvY3p6uNr+YNdwa99UC7m2i3e/8S4OPHYA/Xsal9cYPTYKPaTj+hvX4XmdFxRFROu3LKBBWgxokBBhBjoiIiIi8hEDGmhNLKu+Nriub+xOvkbLN3qdVrr/ERUer4F3jEBw6d9nnm9/bW/qZLxA2qkaDePrQan675PPd+YFr3w+j9m5WWTSaUT6PYxCxeLpk+M4MIwSTMusbHpLpQA0TUNPTw8Sie4Nf0/S9iEpQH567QP0i/LF8vnRgVNRoOnzlMbHxenpPEL95f2uUPBgO+W7jw8d6oaqbqyshapJ1X/3Hq8PXG2GJ4BTB/rwrbNTa1pOU2Wc2N8LWZKx9zhTHdNm2XnnG4oqIZPJIJlMou/AUsCCrgUQCgVrAvYsqFETw8Mjy+7U7WS3X7lSfbx//3XcuLEXn/nMDyKfL79PSZLw4P0P4tTJ+5cFJh4Qu3Dm3Bm8c/pteJ6H69cP4Pd+76fx0Y/+Bfbvv45XXnkaAGCGi9j1WKcFNPi/DZdEEdlMFl3x+gyMANC/rx/RwSiSs8mOCGpgiGmZrCvVfwce27PJr9b+z30r2Erbpuu60MIGujwPiqKgO9ENAOjqimHo4KE2926r29j+Igf16r+J5x/yo0NN20rbMFG9zv2ukoKB6r/B559qc2+4rxP5prJvIxiA+vxzrXlNeWvuwQxooDVpFGigqhvbjJQGF7ocx9lQmxsVCGzNHXq7kyQJwVC7e0GdjfvuViRJEgKhzvnsPM/D/Pw8ZmdnUSqVAABaQAIgwfM8mKYJwzBg2+WB6cXBW6Cctaivrw+xWIzZGKiO8Dyoyvq3C1UtBx1o2lraaDyvIyyoerk9lAQUVYIsywhuoNRDI+qa+rrcg4f7ceZack1ZGh45OlhdT/IG1jXRve3MbSuRSCASiSz7fhRwUCjlEQ6HqwF8hlXC+J1bGB0dRTjcmQGLizzPw9T0JABAll3cuLEPr7zydLXERDgcxvvf/34MDzcKSFDwyKMPY2R0GF/96ldRKpWQz8fwp3/69/DUUy9Dll0IoWByehKKLu+I84J8IQ8P3oplKUPhEAZHBrGwsLAsOxC1nyRJUAK8REhrk00XIGkKJADBUAhKsBwU2z3QB8Xnc0paH0mSoITan4GNiPwjSRKkULDd3SAin0mSBHDfvif+WqE1cd36FMmyLG+ozUYBDe2+uGGaHjM0dJBAsHxA9zwPptHu3lBn69xI6p1upQwNi/u2ZbT/s3NdF3Nzc5ibm60GKywSQsAwDRiGUVdWQq7cjdTT24NgJaWMYwHcHuluigoM9a4vYwEADCTKA4O2uZZtq/G8hVwJjiXgeR5sq3x+p4d0OPbGt9vaIIaNtKcpCj72vkP49AuXUTJWD3Y9eaAPT54chuugI+7+pe1s521fqrYYUKVhcGAYuWwWc8kkhCgfP7KZHFRNQyQUhiRJcCwX169cR29vH/r6+jp2MD+bzVbLKgqh4OWXn6k+NzI8gmff816EQiE49ygVNNA7iO//no/g69/8GianJuF58rJ28vk8UvNpdMUaZy5oj83bhjNmBrZpo7e/t+Hnrus6ent7MTs12/D6Qqt05hbZerKuVM/HhbXZn8fOO3aux1baNjPzCxBW+RxNDUpwjfJvqIgWhFtqb+bVrW/jGRqq+7bR2s9iK23DRPU697tKCgaq+7VnmKsvsNn9aXcHiLaLmn0brdq3ZQlSYOsFPDKggdZE0+pTEG/0IkSjbAztTs99+tsO0qnOPYFZn858P82c/DzzvI5gCDAN4BsvdMqPYv/WZ+tPADtvW/BvHbT2vTXf707tlx+ae2+N+vTk82EEQhIsw8O3Xig2mGMjml/ntm0hlZ5FJjsPcVc0m3Ad2K4BV1h1TepaAPF4D6LRBObzCuYnPAClTe+3v59vq48HW3Nf8KudaELBgZMxjPRHMDlXWPPyT98/glzaxvWzpTX0q36dCyFw7Wa68tiF6ZTb64oGgMLa+3W3vccjUDUJju3h5vn1t6fpEoYOhPCj33EEX3trAlcnMg0DFWIRHY8eGcQDh/uRmjYxP738XKHV37N+vp7k2z7j57Gl884j/LTe/Wp97TSnldvBSoaPd0PVZDi2wNT5FAAPuhPDQmYexZr66ZK0gIAagqKU79idQgoBfRwDPUMbyuy3WZ/LROpWw/n2992HvV0HMHc2AyDTVFtHu+5H0I7ievJy3bznX7mIse7dq/bv3lq93TVj5T7NDs7i8NOHoWj1NzBomobenl5c+OoFWNVBT7/en5/HKP/WeSt/7zR7zJAADDy2B0pAhbBczL7eeH/wo09rm+/eWr3Om1ufrb4+4Ofrra8tz/Mwcfs6XNeFJEmQAxFIEqCpGnIpFbkVX6+p1ledw8/zFj/XeWu3u5V1P/8glFAAwrCQfuEtn3rl5zrovH2m1efCW/lcsROv4bW6T+14veDzT0EKBeEZJowXXtnU12u2T618vWZ04vWyTuyTn7byuEanXD9Xn3+unJnBMOG88NKqLfnS7+4E1Kef8KOllmJAA61Jo4CGjZaHaLR8o9chIiLyk2EUkUrPIpdPw6s9sfQ8OMKG4xgQov47KhKOIR7vRTgUbWFvaTvIp12UCg7ec/8oPv2V+gGve+nuCuDYvh7cfnfjqYoseyniW2ApMFXXOys627Y8TF0pom8siO99Zj+KhoMzV5NIZkpwXYGgruK+XQnsG43DsQVmxw1k55svT0FEG6OoCvp7B1AoFZFKz8N1XXgeYNglaJ4GXQlAkgDTMnBndhz9PQMIB9efpWYzLBSSy/7W1QBOjDyI7nDPmtuSJAn7+w4iEerGucl3YLlLx9qFYtKHgIatJTOTxfkXz+PIM0egN0g9H4wGcfR9R3HhxQuwSzx2E201JdOo3uCkykolI4uHrgh/IxERERGR/xjQQGvSqAZqsbixu2obLR/YgulOiIhoaygUs0ilZ1Eo3nXfkOfBcU04rlFX+khRFHTFutHV1QNNZT1YWr/5aRuPHRvCGxenceNOtqllJFnCx95/CJblIePDgL1l1QQ01GzrmtZ527bjANM3DWi6hHivhofvG4Cml1Pfex5QyjuYvllCIe104L0KRDtDJBRGUAsgmZ6DYZSDrmzHhhACATUAWZYhhIuZ5BS6ogn0JPo6JkVtf2wQqeIsHCHQE+7D8ZEHoKsBbOTOn55ILx7f9x6cn3wHC8V5qIqM/uigf53eQgqpIs6/cB5H3nsEoVio7vlQLIRjzx0rBzW0OCU6EW1MvriUhUtTli4vM6CBiIiIiDYDAxpoTRKJRN20wgZTEzdavqdn7XfEEBERrcTzPOTyKSykZmFapbufhO0YcFyjLp29rgeQiPchGolDluUW9pi2q/lJG9G4ip/8/pP4/c+exY3Jewc1KIqEH/7gERze3YPr54poUHFhzWozNMCrydCgdW5AqW15SE5ZSE6VB7wkCZV1wTAGok6gqAoG+4aQyWWQzqYAD3CFi5JdREANQq0MdmXzaZimgYG+oeq0dhqOj6E73Itkfhajid2VO4w3LqAG8OCux3AnfRt90X4EtfrB/J3CLJg4/8J5HH3vUUS66zN0hLpCOPa+Y7jw1fOwTWZqINoqcrUBDXK5tIwkyYgE62+EIiIiIiLaqPZfQaAtpVGgwcLCwobanJ+fr5vW29u7oTaJiIiA8t3nmew8UulZ2M7yO/884cJ2DTiuhbtHicOhKBLxXoTDsVZ2l3aI8Usl7Docwj/+2AP41tlJvHxmEjPzyzNWqYqMB+7rx/seHsNAdwS3LpZQzLortLg2lrVUtkJ45QwNsqRsqL59q/kR2EFE/ovH4gjqQSRTc3Acp1KCwoDmqdCVYLkEhW1gcnYCg73DCHRAqZugFsJY9x7f25UkaceVmViJYzq4+NJFHH3fUUQSjYMajr7vGC68eB6OubGSlkS0+WzHhlnJ+KXKCmSpHPgdC0cYBE5EREREm2LrXLWkjjA6Olo3LZlMNpizeXcvL0kS+vr6NtQmERHtbEIIpDNJpNKzcNzld/sJ14HtluDeNV2SJEQiXehO9COgB1vZXdphhABmbpuIxGU8dWoEzzwwiht30picL8JxBSJBDcf39SAYUOF5QHrWRi7l3wCPbZeDezzPg4dyQIPegeUmiGhrCgQCGBoYQSqVRKFUDtayHQeuKCKoBiHLMlzXweTsBAZ6BxEJMT35TuBY5aCGY88dQzhRfwd3OB7G0eeO4eKLF+BYDGog6mTZfL76WFOU6uNYmMdzIiIiItocDGigNRkeHoamabDtpUGg8fFxeJ63rvScCwsLyNf8EAKAkZERBIMcSCIiorVbDGRYSE/DdZdfDHddG7ZTghDLp0uShHhXD+LxXmgqB3Vp84W7FBw4HoQ9dxsLr/wFlFg3Bg88hKH+BKCogJmGfeEdpK+8ieCuI+h+4vshKUHcftdYte1mOJV9w6tkZwAAVdN8aZuICAAUWUZ/7wCC+TwWMkl4Xvk72rCL0NUQVEUB4GF2fhrd8V4kYt3t7jK1gGM6uPDSBRx73zGE4/VBDZFEBEefO4YLL12Ay6AGoo6VKSyVTNPkpUvLXREGNBARERHR5mBAA62JLMs4dOgQLly4UJ1WKpUwOTnZMHvDaq5fv1437dChQxvqIxER7Tyu6yKTTWIhPVsJZFjKR++4FhynBCGWp+tXFBWJeC+6unqgyAqIWkEPSth3LABz6jIWXvgTQLhwMrMwJy41nL/47qtwMnPo+46fgLMvgMkb5oZeXwgBIRYDGZb2k06oZU9E208sGkUgoGN2fhaO40B4gOGUEESwetxJZeZh2xb6egYgYe1B8rS1LJafOPa+Ywh1heqej3RHcPS9R3HxpQtwbX9KLRGRf0zLgmEulZtY/B0VDUegbaHyZURERES0tfBMk9bs5MmTywIaAODs2bPrCmg4ffp03bQTJ06su29+8SBh5dLMrS3a7N8lvVZfHGxuPa11bW507Xfi+vR82qaa71HnbQv+7VXNvbfm5vKz36u/op+fil/bVDOaHXho1COv5l8P0gpz3Zvrukhn5pDOzN2VkUGC45qVQAZRnQaUU+snEv2IRRNNZBfanGPZSppZn82/1upz+jtw1EzPWnv8aeW+0KzBsQC8UhapF/8MEM0N1FhT15D+1mfR99RHMTdpwa7ENDT3/pavc9txKvsbIODBq2wFqqrXzVuv89ZnM9uUn3txM1uwv2vJn1f089ji5xlQJ2pur2rtdtfK7aDZtprb98rtaJqOof5hJBfmYJgG4AGGbUDzdOiqDglAvpiD7dgY7BtuGGTo3+fSqevcH82+P7+OZevdFyzDwfkXL+L4+48iFKsPaoj2RHH0vcdw8WsXlwU1NPP+2rWdt8pmniuu95106nbejOb2BT9/y/nzG9PP7by597fUTiZfk52hJiA2HumCX/uMn8dzv9pq/ndvM201006z1zb8/4zvNVcz/Fuffh5fW7tN+bevN8e/tlq7nfv7DqnV/Pu+6tTPtxP73ol9oua09krKdr1NQG53B2jrefzxx+umvfLKK+tqq9FyTz311LraIiKincN1XcwvTOPGrfOYX5iqBjN4ngfHNWGYaVhWoSaYAQgGQhge2oPdu+5DV6x7XaWSiDZCUSUkBlQUzn8dnmOvvkCN4uVvQxgl9A5vrCyKUxP4I2pKTigKs5QQ0eZRFAUDfUOIRmPVabZjwbQNeJUrMqZl4M7MOOw1Hh9pa7INGxdevAgj17icUrQ3iiPPHoGi8vuJqJNkC0tlY/VqQIOERM3xnYiIiIjIbwxooDV7+umn6y56f+UrX4FlWWtqJ5lM4rXXXls2LZFI4P77799wH4mIaHtyXRfJ+alqIMNiGYlqIIOVgXl3IEMwjJGhPRgbPYBImBfaqH16BlVIwkXx6ltrX9hzUbz0LfQOKthILI7j1Jyv1YR1q6q2/kaJiJogSUBvohfdiZ7qNMd1ULKLEJWoBtd1MDV7B7aztt+WtDVZJRvnX7wII984qCHWF8PhZw9DVnnpiqgTlEwDll0+PquyAlkq75tdkSiDY4mIiIhoU/FXIa1ZIpHAs88+u2za/Pw8PvvZz66pnT/6oz+CbS+/++b7vu/7oLLmHhER3UUIgYXULG7evoCF1PRdgQxGw0CGUDCCkeG9GBvZjzADGagDRGIKjMlL8OzGAzerKd08A1VXoYfWH9FQm6HBW5ahgedfRNQaXdEu9PcNQpIr5W+EgGEV4Fa+w13hYHL2TnXQjLY3q2ThwosXYRbMhs939Xfh8HsOQ1Z4+Yqo3bL5XPXxsnITzM5ARERERJuMvwhpXf7u3/27ddN++7d/G7du3Wpq+TfffBN/9Ed/tGyaLMsN2yUiop3L8zxksvO4efsikvN37iotsRjIUGwYyDA6sg/hULRdXSeqo6iAMArrXt6tLKuoGwhoqEnlXhvQoDKggYhaKBwMYah/uBrMLjzAsItwKt/nQriYmrsD02o8yE3bi1m0cOHFCzCLjT/v+GAcBx4/0OJeEdHdsoVyQIMkSdVyE5IkIR5hQAMRERERbS4GNOxgExMTOHz4cN3/n/nMZ1Zd9rnnnsPJkyeXTUun0/jkJz+J6enpey57+fJl/MzP/ExddoaPfOQjOHCAFymIiKgsn0/j5u13MTN7e1ma/HJpiXRdIEM4FMXoyD4GMlDH8jxAktefjldaDDoQ957vXlynJkNDpeaEoqiQNlLHgohoHXRNx1D/MAJ6AED5GGnaRThuOQvTYlCDYa4vqw1tLWbBvGdQQ++uXuw+tbvFvSKiRUWjBLtyHqlKS+Um4pEYZJmXl4mIiIhoc/GMk9btV37lV+rKQ9y8eRPf//3fj7/6q7+qC1golUr4sz/7M/ydv/N3kEqllj3X3d2Nn//5n9/0PhMRUecrlfK4PX4Jk9M3YNek5ndcCyVzsbSEV52+GMgwMrwXoWCkHV0maoptAWr38LqXVxMD5Xbs9Uc02G75/MzzPHiVyAhN0dbdHhHRRiiKgoG+QQQDNUENTqka1OB5AlNzd1AySu3sJrWImTdx8aWLsEqNy42MHB3FwP6BFveKiAAgk89WH2tqbbmJrnZ0h4iIiIh2GOaWpXU7deoUfu7nfg6//du/vWx6Op3GP//n/xy/+Zu/iRMnTqC3txezs7M4c+YMstlsXTuyLOPf/bt/h4EBXpggItrJTLOE5PwkCsXl3xWua8N2SnCFs2x6OBRFT/cAgsFwK7vZUWIJGX1DKsJdMlRVghCAbQmk5wSS0zYc21u9EWqZ1JyD3pOj0HpHYM9Prnn5yJEnkU/bsDeQgX0pQ8NSUISirj9rBBHRRimyjIHeIcwtzKBkGNWgBiBYKYfjYTo5iaG+YYS28He+EpARG4oi2qdD0cuZcVzbRSlrITdZhJlrPIi/0xg5Axdfuohj7z8GLVAfcLfv4f0wCyYyM5k29I5oZ/I8D9lCHkC5xIQmly8ny7KMrggz4xERERHR5mNAA23IJz/5SaRSKfzBH/xB3XPz8/P42te+ds/lVVXFb/zGb+CZZ57ZrC4SEVGHM00TU9M3kcsvLJvuCqccyOAuz/gTDITQ0zO4o8tKxHtkDO/VEI4ouDWVwzden0WhZEOVZQz2hvHYsSEM7Q4hNedg4roF11m9Tdp8+bQDs2AjcuQppF/+n2taVokmEBw7glvvrj/1uud5cCobg+ctBbuozNBARG0myxL6ewYxtzCLklGC5wGGYyC4LKhhCsP9owgGgu3u7prIuoy+/XGE+0IQZgnFK6/CySYBISAHIwjvfxCxB4Zh5gws3MzBSDOwoZQt4fI3L+Poc0chK8sTi0qyhENP3YfzXz2HUoaZO4haoVAqwq1kzlFlBXKlVFki2sWyZURERETUEgxooA37F//iX2D//v349V//dRSLxaaXGxkZwa//+q/jySef3MTeERFRp3JdFxMTkxi/PY1cfmmQVggB2ynCcZdf0Nc1HT09Q4hGdnZa0/5hFWMHNLxzOYkXvn0bd2bzdfN8/ps38ODhAXz3U/tw6FQQ186bsE1ma+gEc1MuRg89guLVN2HN3GhuIUlC/KkfhGO6yM6vPzrFqQkO8rC0PSgKfxIQUfvJsoSB3kEkF2ZRKBWBBkENM/NTGBkYhabq7e5uU9SQgqHjvYCTR+qlz6J06ywg3GXz5M++BL1/F6IPfABDJ45g7lIKhTkO1OeSOVx74xoOPXGo7jlVV3HkmSM497fnYJt2g6WJyE+ZfK76WK8JhE2w3AQRERERtYi8+ixEq/v4xz+Or3zlK/iJn/gJ9PX13XPeXbt24Rd/8Rfxuc99jsEMREQ7VCaTxPnz5zAzM1O9U9zzBCy7iJKVXhbMoCoqBvpGsGvs0I4PZujuV7DroI4vvnITf/LXFxoGMwCA7Qi8fn4a/5//9iYKloX9xwKQOWbdEeanbGTmHfR+6MehD+5bfQFZQfd7fwTB4UO4+a4JbwNxKUvlJsr72yJV5cZBRJ1BkoC+ngFEw5HyhEpQw2J2GSFcTM1NVv/uZLImY+h4D7zCHJL/6/+L0o136oIZFllz41j42z9E/tw30H+4G8HuQGs726Hmb81j/Nx4w+cCkSAOP3O4LoMDEfnLFS6yhXJAQ7ncRLlUmaqoiIS2bhkgIiIiItpaePVyC3n88cdx6dIl39obGxvztb3e3l784i/+In7hF34Bly5dwqVLlzA3NwfLshCNRtHX14eTJ09i165dvr0mERFtLaVSHrPJCZhmCQN7A1BUGR482E4JtlNcNlgryzJ6EgPo6uqBLPNitaQAYwd0fOOdO/jb1283tUwmb+E/fuY0fuFHHsbQmI7Jm0xj3QnGL5vYfTiAvu/6JAqXXkfh3W/BSU0vm0dSVIT2P4joiWehxPpw/YKBYk6s0GJzhFhavjZDg1y5ME1E1AkkCejt7gcgIV/MAx5gOgYghaHKMlzXwUxyGsP9Ix19ftCzJwZJGEj+ze9DmM1lMsy+8XkokS70HzqO8TdmASZXwp3zdxCMBtG/t7/uuWhvDAceP4grr1xuQ8+IdoZMPlcNQNcVrVpiIh6NsdwEEREREbUMAxrId5Ik4ciRIzhy5Ei7u7JJWvuDzfPpKlbrf2Z25g/bVl4TbH4N+LOumn9vrd6m/NoW/Pv0mmtp9X43/85Wf0V/t02/+u5fv23bQnJ+Erl8atl0wzCQTudh2ka1T7IkIR7vRSLRD2WdA61+rU/J12PZxtZnb78KSQa+9K2ba3rVVNbEN07fwfse2o2p2xJqbsxvcj01u8d03r7e3Jbu33be7Ku5Arhx0UTfiIb+PY9g8OiTMGdvw0lNwRMulEAYgbGjkFQd6aSN6dMlmMX6Xqx1nYvaiCFvqceSLPt8XJRq/mq0TCeO0Pl1VASkFn9fNbMd+Lmv+7VfNb/9dt720urvmGZ+D/i3Hfh7BtSMhu9PAnq6++AKgZJRDng07SIkLQxZlmHaBmYWpjHUN7LGV2uu7xvdymVVQmwghMzrn4cwCk295qLst7+IwX33I9QbQjG5VHrCz3MSv45lrTp/vfbGDQTCAXQN1Gfq6t3VC+PUboyfGa/0yc/zlubWVDOa24+baWd1zR9b7v67frnm+rR113kzmuu1f8cWf89NN77OU9l09f3pilZ93N3VXfe+/ToH8nM792+b8u9b1K/jQbktf/i35/n5eq09vvrLz23Kn9frzPXkH/+24VZvd+t7vUav7ufrdeJvsGa0+ljWDD9/ZRPtdAxoICIiok0jhEAqPYuF1MyyFPeucJDNGoDkQLjl03tJAmLRbvR0D0BVtZWa3LF6hxS8fWkGRWPtaba/dXYKH3x8DxK9ClJzjdNdU+slJ20kJ23EEg66B4ahDQxDljzYroT0HYH5mTwcH0uDixVSnctS597hTEQ7V7n8RD9m56dhmuWSO6ZTQkALQ5YklIwiZudnMNA72O6u1okOhAFPoHT1zTUv6+ZTMCYuIT60Z1lAw07mCQ+XXr6CEx84hlAsVPf86NFRGDkDczfm2tA7ou2raJRgWuUMb6osV4PNw4EgQoFgO7tGRERERDsMAxqIiIhoU+TyKcwl78CpGZH1PAHLKcF1Ddi2Dk0vxyCHQ1H09w5D11kzuhE9KCEaU/D6+Zl1LZ/JW7h8O43B3hgDGjpQLu0gl978evDesgwNtSUnGNBARJ1JliX09wxgem4KjuNACA+mbSCohSBJQKGUw0JGRU+8t91dXSbao6N06xyEbaxr+dKVN9Dz/iOQFAmeuzXvkPObYzm49PVLOP6B49AC9YGv+x7ZBzNvIjuXaUPviLanVDZdfayrevVxT7y7Db0hIiIiop2MVy+JiIjIV6ZZwvjEZUxN36wGM3ieB9spoWSm4ThGdSxV13Xs2bMXI8N7GcxwD2olBDWdN9fdRiprQGYo647m1mRoqE1ZKTFDAxF1MEVRMNg3BEUp3xkshAuz5lwik0uhUMq3sYf1ZFWCm0+ve3m3UF5W0Xh8rmXkDVx++TKEK+qek2UZ9z19H4JR3jVO5AfHdZEt5ACUSwLqlR8SiqIgEa0v/0JEREREtJn465iIiIh8IYTAXPIObo1fQqmmXrTrWjCsDCy7WL1DXJZlDA0N4/Dhw+jq4gWxZvlVC5h2Jk/UDwABgCSzWiMRdTZVVdHfO1g9XrmuA8tdCvKbm5+B7Vjt6l4DG/2+5vf9SnJzOVx/43rD59SAisPPHIGs8lIX0UZlcplq4JimqJCk8vG3OxZndi8iIiIiajmegRIREdGG5QsZ3Lx9Aan0LBYvwgvhwjSzMKwcRM2d4V2xbuweO4T+/v7qhTG6N6dSjSARXX8Wi0Q0ALH5VQ2og9WWnKh9LDNDAxFtAQFdR3/PAFA5dXAcG45b/mLz4GE6Ob28tE4bCQdQIvF1Ly+HEwAA12kciLbTJW8lMXF+ouFzoa4Q9j28v8U9Itp+Urml8i0BZanMS09Xog29ISIiIqKdjlcviYiIaN0cx8bk9A1MTl1fVl7CsoswrDQcYVfnDQXD2DV6AAP9o1DV+trHtDLL8FDIu3jk6OC6lo9FdBze043Mgrv6zLRt1ZacWAw8kiWJgUVEtGWEgiH0xPuqf5uOAbeSfcZxLMwtzLara8sUUhZCe05C0tYXiBg++AhK6RI8pzMCNDrRxLkJzN+eb/hc/95+9O3pa/gcEa0uXyzAssu/41RZgSKXS/5EQmEEWSaQiIiIiNqAAQ1ERES0LunMHG7evoh8TY3ocnmJNGynVE1RqioqBgfGMDqyH4FAqD2d3QayKYFHjg4iFFDXvOyTJ4YgPCCVZEDDTrYsQ0PlX4nZGYhoi4lFo4hGouU/PMByStXjW6GUQ65S872dcjNFQFYQPvjQmpeVIwkEdx9Fdrq0CT3bXq6+fhX5+XzD5/Y9vB/BaLDFPSLaHtK12RlqAtF7493t6A4REREREQMaiIiIaG1Ms4Tb45cwOzdRLSXheQKmlauUlyjfKSlJQE+iH7t33YdYNNHGHm8Pmg5IkoQPPr57Tct1RXW858ExqIoEPcA78Xcy0ShDA2sgE9EW1B3vha7rAAAhPFiOWX0umZqF7Vjt6hoAQDge8nMlRE+8D/Iagzm7HvoOCNtBMcmAhtV4rofLr1yGY9XX1FI0BQefPARJ5rkP0VrYjoNcsRwoJEsSNLkcTK0qKuKRWDu7RkREREQ7GK9gEhERUVOEEJibn8St8UswzGJ1uuMaKJlpOO7S4EG5vMQh9PQMcsDUB7ICdPepeOvSLN738C6896GxppaLRXT81EdOoliykc6Z6Btae3YH2j4Wg40AZmggoq1NliX09wxUB6sd14HtLpa58jCTnEG7izXM38oBWgS9H/yHkLXmMgV0PfydCB98CHNXs/Da/Qa2CKto4fob1xs+F+2JYveptQWCEu106VymevzRFa1amqynK8EyZURERETUNryCSURERKsqFLO4NX4RqdQMFodChXBhmBmYVqGa6lmWZQz0jWB0ZD901lf1jR6QoCgSvvrt2/hf37iGj7z3AH74Q4cx0BNuOL+iSHjw8AD+Hz/0ADRNwe/95RlcnUgjEOJFyJ1MeOWAhvLuygwNRLS1qaqK3u7+6t+WY8KtBG7Zjol0NtWurgEAXEtg6nwKcnwYfd/7TxHcfbycvqoBrXsIPe/7MURPvQ/Jq2kU540W93ZrW5hYwMy1mYbPDR8eQWI40doOEW1RnudVy01IUjmgYVFPV6JNvSIiIiIiAnibHhEREa1ICIG55B1kssnqNM/zYDslOG5p2d2DsWgcfb3DUBSeXvhNUcr/mpaLF789gVTWxPe+Zx8eOz6EK+MpnL6SRMGwocoyBnvDePz4ECIhDWevJvE/XriCQsmGabmQlfa+D2ovr5qhYWnHlZmhgYi2sEgoDCMaQz6fg+cBpmMgpIUhSUA6u4BoOAJN1dvWP7vo4M7pefQfjKP3A5+AU8yhdOlVONl5eMKFHIwitP9BBAZ3wy6amD4/j1LKXL1hqnPr7VuI9cUQjtcHex547CDOfPk0bMNusCQRLcoV8rCdcgkXVVKhVAJfY+EodE2716JERERERJuKIw5EHc+fu2m9Fidd3bx7gFtxd7E/68rPNe7vu+68baq5HrX6zvLV31/za2D1vvv77vzpe6lUwPTsLdi2hcUeuq4NyynAE0u1ijVNR3/vCMLhe9VU9XN9rs6v9elvn9bfK9ctLxvQyhEJ71yew+krczi6twdP3z+C735qL4IBFY7rIVcw8erZKbxydhLp3FIZEF1XINy1v6dm+91cu6vPtZH1tJ7X83Pv8+u42GyP1vpqolEPJWkNr7i6u1+hUR+b+4y3bq51z8f318o11fy+7s9+3Gy//dw6O03z66CZ9dm6b1EPEqQWH1/vpburF6ZpwrYtCCFguRZ0VQfgYS41h+H+0TX3qLl319zn4pjlTA1aMIvYcBixo89B0VVAAjzHRTFtY+FsEqX04nd243b92vcWW1t9jmbOX/3b7jZ6VHRdD5e/dRWnPnACsro8WE8Lajj4+CFc/NrFmtfza336dzRrrk+rW/+xpb51v/rUvM47R/DzaOfXsWWz1kEys1B9rKta9VV644mmlu/E9+fX59fq85aNnyNI1X/9/E7bWJ+Wt9ZK/m2brT0utv58uVmt+05rfs7OO9enZm3WFZCdarvvL9v9/dG9MKCBiIiIlhFCYH5hCqn0bHVaOStDAY6zlAJZkiQk4n3oTgwwbf09BIKAqkmQJMB1PBjFtbdhWR5c18PBsQQ8AOGACkd4mJov4Pc/ew5AeVx6pXrbkgQcHI3DzPGkfidrdJHOY5F2ItriZFlCb3cfpmcnAQC2a0GRy3cWG2YJ+UIO0ci9gi5bwzZcLNzIYeFGru45FoTyRylTws13bmL/I/vrnosPxTFydASTFyfb0DOizpcvFmCY5QwxsixDq2Td0zUNsXC0nV0jIiIiImJAAxERES0pGQXMzNyCZS+lOxauDdPJwxNudVooGEFf3wgCerAd3ex4sgL09CvoG1IQjS2v81AqCSxMu0jOOHCazHysKIBZ8vB9zx6Adtddhzensnj59B28czkJxxUNlz+ypwfdXUGcv1Ja1/uh7UGSlu7UIiLaTgJ6ALFoF3L5LOABtmNBqZyjzGeSCIXCUFh3aUeYvTaL+GAcvbt6657bdWIXsjNZ5BfybegZUWebTy9lZwjWlOrpT/TWnEMSEREREbUHAxqIiIgInudhfmEaqdR0NTFXOStDEY6zNAguSzJ6e4cQ76q/SExl8R4Ze+/TIcvl0hCvnZ9CMlOCEB66ogE8fHgAj58YxvCeICZvOZiZcO7Z3sgeFUO7VJQMB19/exrvXJ5FrmhBliUMdIfxxMlh/PCHjuD7nnXwJ1+4gKsT6bo2nnlgFJmUA6PIu/FpuVaXpCIi2iyJrm6UjCIcx4ErHDiuA1VRIYSLhXQS/T2D7e4itcj1N64j2hNFIBJYNl2SJRx88iDOfvksXOfe519EO0nJKKFglH/zybIEXdEAAKqiojsWb2fXiIiIiIgAMKCBiIhoxzPNEqZnbsK0lspJlLMyFOCJpYu9oWAEA/2j0LRAo2YIQO+Agr33aXjj4gw+943ryBeXp2DI5C2MT+fwhVdu4NkHxvDdT++FqgF3bjS+qL77oIreQRWffekaXjk7VZeBIZU1celWCl1RHT/w3EH81EdP4Y+/cB7nrs1X53n2wVEc3deDK+eMu5unnabR3XUsOUFE24QsS0jEe5CcL5fMshwDihyBJEnIF3OIhbsQCoba3EtqBdd2cfXVqzj2vmOQ5OXffcFoEHsf3otrr11tU++IOs98JlV9XJudoS/RzdKCRERERNQReFZKRES0Q3meh4XUNG6Pv1sNZvA8D5ZdhGFnq8EMkiShr2cYI8P7GMxwD7G4hD33aXjpzQn8ty9fqgtmqGXbAi+8cRt/9qV3MTSmYWCkPsZ0eLeK3iEV/+V/ncPX37mzYjkJAMjmLfzJFy7gjQvT+HsfPoaxwSgkCXj+0d34gecOYuKGjWxq5eVpZ5AWS00wazARbVORUBihYBhAOV7LcpdKaCXTyXZ1i9ogl8xh4sJEw+f69/YjMZxobYeIOpRpWcgWymVYJEmCJpezMyiyjN6u7nZ2jYiIiIioihkaiIiIdiDHsTE9cxPF0lINYSEcWHYeoiYrQyAQwmD/Lug6AxlWM7xHw+XbaXzum9ebXuatd2cx3BfBex8YQ3LagajEHCgqMDim4gvfvIELNxbu3UiF5wH/46tXMNQXwY986DA0VUFvPIjx6xZm7zCtMjXmMUMDEW0zPYkeTM4U4XmA4zhQZQFFlmE7JgqlPCKhaLu7SC1y58IdxAfj6Orvqntu70P7cPpLp+HdI2CUaCeozc4QUDVIlYxePfFuKIrSrm4RERERES3DDA1EREQ7TKGYxa3xi9VgBs/zYDtFGFamGswgSRJ6ugcxNnKAwQxNCEcldMUVfPXbt9ecwf/rb9+BrEjo7l+6YNg7qMIVAi+fmVxTW57w8NKb4xjqjUCyVFx822AwA1U1rDjR+m4QEW0qVVURr7mr2Has6uNUzcAd7QAecPXVq3Cs+nOhYDSI0SMjbegUUeewHQeZfAZA+fefrpTLTUgA+uLMzkBEREREnYMBDURERDuE53lIzk/izuQ1uK4LABCeC9PKwraLWByJD+hBjI0cQE/3QPUOHbq3/iEFc6kSrtxOr3nZXMHCmStz6B1eCmjoG5Lx+oUZmJa75vbOXZtHvuTANoFSgcPVtERaVmui8pgZGohoG+qKxqGq5YSUrnCq5z2LWRpo57CKFm6dvtXwuZGjowhEgy3uEVHnWMikqqeCuqJCXszO0JWApmpt7BkRERER0XIMaCAiItoBbNvC+MRlLKRmqtNc14JhZiCEXZ3WnejH2OhBBAKhdnRzywpFZZy5uv7a3GeuJhGLKZAkQNWAUFhZd3tCeDh3LYlQlMEodBcGKBHdUzCqom9XGAP7oxg4EEX/3gi6+gOQFe47W40kAV3RRPVv210612GWhp1n7voccslc3XRZkbHvoX1t6BFR+zmui1Q2Xf5DkhBQ9epzfd297ekUEREREdEKGNBARES0zeXzadwavwjDLAIoZ2qw7AJMKwt45brBqqpjdGQ/enuGmJVhHRQVKBj26jOuoFCyq+0o5RtKUdxAe/mSXW2H6F48Fp0gQqwvgOEjMQwdjCIPBzeSGVybSWMqV0DXYBBjx+PoHQtB1VlLfCuJRqLM0kBVN968AU/Uf+clhhPoGetpQ4+I2iuVTUNU0jOUszOULxEnol0IaPq9FiUiIiIiajle6iYiItqmPM/DXPIO0pm56jQhHFh2HkIs1RKOhLswMDAGReZAzXp5HqBu4A5eVSlfQBQCkCvX2lV5/XGnqiKxkgDVaRSs5HFDoZ1MAvr3RBDq0nD2ehKnL88hmS4tm0XXZBzd14uHjwxg6L4o5q4XYBadFRqkTrKYpWEhXc54ZLs2VKV8rpPKpBAJRdvZPWqxYrqI6avTGL5vuO65PQ/uRXo6DeGINvSMqPWEEFioZmcAgspSeYn+BAN8iIiIiKjzMEMDERHRNmTZJm5PXFoWzOC6JgwrUw1mkCQJfb3DGB7aw2CGDbJND8O9kXUvP9QXgW17EC7gWOWyEUN94XW3N9IXhWNxoJqWk8DsK0S1+vdEoEZkfPqFS3jh9dt1wQwAYNkCpy/P4U/++iImZnMY2B+BFuR35lZxd5YGh1kadrSJcxOwSlbd9EA4gLFjY23oEVF7pLLpatYaXdYgV34LRsMRhIIsPUhEREREnYcZGoga8Cr/b7bWDiv4+Wqrr52tPYzm17ryby34uT792xL8a8mvlOf+7lPNtNaZn3GhkMX0zE0IUb5I5XmA7RTgOEZlDgmapmFoYDcCgVZdsFptfTb76TW3pvxan832KpX0cOpgP6Lhq8gX11YqQpKAp08OI5UsB5oIAaSSLp4+NYLXzk2vscdATzyI+3YncP1dC6u/A/+O582tq9XnavZ44NfrNcfftbD6q/m5DmoXqF1CAuBBCLHJn3GDrBBNvaKfn3AnnpU02/PV+976rbyZ/biZdpo9nq/+es21tbydrv4Agl0aPv3CJUzNFVZd2nEEPvv16/j48wfRtzeMqXdzTbymP5p7d/6dt6w2l1d5Rb9ez7++17fTKEuDUsnSkC1kEV4hS4N/PWrtvu7nftzcOYJf+6d/7vVqju3i1ulbOPTEobrnhg4PY+5mEqXsUmBTc5+Ln+ew/pwntTp8sZntYHHO1bT691wn7nt+bneN2nKFi7lMqvpMQF0qLzGQ6MP6z90293he34p/ferEfb0zz19bq7W/wNqh1dtBq3+Ldx7/foVSs7b/OufxfPt/xtRJmKGBiIhoG5lfmMLk1LVqMIMQLkwrXRPMAMSiCYyNHmxhMMP2tzDnQAjg8eP1aYxXc9/ubvQmQpibcqvTktMOdg3GsGsotub2njo5AtP0kJln2mRabnEQD1j6QSkEtxPamaJ9Gs5emWsqmGGREAJ/+/ptBIIKQjFt9QWoI9ydpcGtHPdKRhGOw/IhO03y1jwyM5m66bIsY9/D+9rQI6LWmk+nlrIzKCqUSpm7cCCEaHj9GeeIiIiIiDYTAxqIiIi2ASEEpqZvYH5hqjrNda1KiYnyBStZkjHQN4rBgV0sMeEz4QLzMy4+8OguDPY2XyoiFFDx0fcdQibloFRYimvOZzzkcy4+/v5D0LTmT9d2DcXw7AOjmJ924W3vIHBah9r9XpIWtyuveowg2imCMRV6QMHbV+ZWn/kuCxkDE7N5RHv11WemjiBJEqKRpQBBVyxlUsoVsu3oErXZjbduNgzo6xroQt+evjb0iKg1HNfFQiZV/kMCgjXZGYZ6B9rUKyIiIiKi1TGggYiIaIuzbBPjE5eQy6dqphVhWjksjmrrWgCjowfQ1dXTrm5ue5O3bNiGhH/80fsx3Ld6UEM0rOEfffQU4qEAbl2pL1Nx85KFoZ4oPvn9JxEKrB6AsnuoCz/9kZMo5AVmJnjHKdVTlKVqc7Vpcxfv0iPaKaI9Oibn8khljdVnbuD0lSQiCQ2ywuSZW0U0FK2mpnFcuxr0ly8yoGEnKmVLmL7UuKzX7vt3Q9EY+EvbUzI1D1E5AAYUFXIlO0M0HGV2BiIiIiLqaAxoICIi2sKKxRzGJy7BtMr1fj3Pg2nm4DhL9X9j0e5yiQk92K5u7ghCAFcvWICj4Of/7sP4yHMH0N9dH9gQC+v44GO78c9/7FH0xSO4cs6EZda3Z5aAq+dM7Browi/+b4/ifY+MIRxU6+Yb7gvjY88fwj/9+AOwShJuXLSZnYEaqi05AakmoIEZGmiHkVUJc5n1BTMAwHym/B2rrCGDDrWXoqoIBcrfyZ4HCFEO/HNcByWj2M6uUZtMXJiAWag/AdNDOkaPjbahR0Sby3ZspHLp8h8SEFQD1eeGe/rb0ykiIiIioibVXxUnIiKiLSGVnkUyeQceyqPXnnBh2jl4lcFJSZLQ2zOERJypc1vFdYCr5y0MjKh47MgI3vvgGG5MZpFMFyE8D13hAO7b010pUeFgesKEU5+coaqY93D5tInBMRUffnI/PvzUfly6vYBcwYKiyBjsDmP3UAylooup2w7mJh0GM9CK5GUlJ5YCGgQzNNAOI0mAcOvTzTfLFV61Hdo6otFYNXjBFk41a02ukEUo2Hy5KNoehCNw8+2bOPyew3XPDR4cxOS7k3DMe5ykEW0xcwvz1d8JAUWvngvGo10IBUNt7BkRERER0eoY0EBERLTFCCEwOzeObG6+Os11bVj2UokJRVExNLALoVC0Xd3csYQApiccTE84iPco6O4LIzEUhgRAuMDtazZSsy4alG5uyDKB8WsO7tx00DugYDgex2gC8ATg2sCVsyay6fUPzNHOoci1KbSZoYF2Lk8AwcD6fwoHK2WAuOtsLaFACIqiwHVduMKB8DzIkoRiqQBXuHcdI2knSN1JIT2VRmI4sWy6oioYvm8Y42dvt6djRD4zLBPpfLnEjiQBQVUvP4aEQWZnICIiIqItgAENRES0qRI9EuIJGaoKuC5gGB5mpwUHAdbJcWxMTl2HYRaq02ynBMdeSpcc0IMYGtwNTQs0aoJaKLPgIrPgz8YuXGBuysXcFHceWp/Fu5GB5RkaXGZooB3GKjjYPxKHKstwmo0uq3FoVwK26cKxuO9sJZIkIRKOIpvLAF653ISuavDgoVgsIBbtancXqQ1unb5VF9AAAEOHhjB5aRKu5bS+U0Q+m1tIVh8HVb2aYai7K46gzt+MREQdQ5agDPRBjoQARQEcByJXgDs3v/qyRETbHAMaiIjId4oCjOySMbJLRldcQTpnIl+yEVAVdMcDOHxcwfQdgfGbAsUC8+M3y7IM3Jm8CtuxAJSTMdh2Hq67VP83EoljsH8Mssy63kS0nKzUlJyoydAgGGFGO0x23kZiOIj79iZw4frCmpZVZRknD/ShkGQq+q2oGtAAwBU2AA0AUDKLDGjYoUqZEhYmFtAz1rNsuqIpGD40hInzE23qGZE/SkYJuWI5GF6WAF3RK49lDHQzOwMRUSeQggGoe0ah7hqEpOtwcykI24AciEOPHYQoFACV2cSIaGdjQAMREfkqFAbuf1RFIAi89NYE/vqVG7g2kak+3xXR8YHHduN7nt6PJ94bxMXTDqbucDBtNSWjgMmpa3Dd8l1inhAw7Sy8moHInp4hdCf6wZLeRNSIIiuQJAme5wEMaKAdTDgC+bSNR44M4d2baYg1ZGk4ebAXuqpgdr6w+szUcXRNg6ZpsG0bQoilshNGcfWFaduauDBRF9AAAEP3DWPq8hRcm9+TtHXNLMxVHwe1QDU7Q2+8G7qmtalXRES0SBnoQeDBYxBmEZk3Pofs238DN7cUdK31jqLroe9A7IHn4bkSIPGqHxHtTLx9k4iIfBMMAQ8/qWIuk8dP/vpX8O8//c6yYAYAyBYsfObFq/iJ//1v8JcvXcWJBzWM7GKU8b3k82ncuXOlGswghAPDylSDGWRZwdDQHnQneIcNEd2bIpfjmVlygna69LSJ7mgA3/XknmX7w73sGe7Ccw/vQmbWgOusvVQFdYZgIFR9vBjQ5XkChmW0q0vUZsVUEanJVN10VVcxdGioDT0i8ke+WEDRKB/bFFmCJmuVxwr6u3vb2TUiIgKgDPQi8MhJ5C++jFv/1yeR+vqfLwtmAAB7/g7m//YPcPv//EkYE+9C0lTIXdE29ZiIqH0Y0EBERL459YiK2XQBv/Qfv4mF7L0vCgsP+OMvXMCnv3IZR0+q6EowwriRdGYOk9PXIbzywInr2jCtLFD5W9V0jI4cQCTMNMlEtDqlUnZCqvkZ4DJDA+1AjuFi7mYRh3Z14wfeewCxiL7ivLIs4/77+vEDzx1EIW0hPcWB760sFFwKaHCFU31sGKV2dIc6xJ3zdxpOH7pvGLLKS2e0Nc2mktXHQXUpO0N/dy9UhUl7iYjaSQoHEXjoKPJnv465z/17wHXuOb8wi5j6r78GY+JdBB49Wa73S0S0g/DslWhFGxlc9Xyca3WtHwb28xXXthY2us5au67at55a0dLd765/UEY8ruBf/u4bKBr3Pgmv9adfvIiHjwxg974ozr29sUE1z8f11Nynt7mfcXL+DhZSM9W/HdeEbeerswYCYQwP7YFy18WoZtaC5Fvf/VvnzWm23/70q9lWOnFt+rcNt/o7rbme+9Urf/f11n6zr+eYJ8lyzUtI8OBBNJmhobljS1O98OnV/DzetfpY1qzV+97MdtDqM5Lm1nizW8vqr9hMW43aMfIOpq/mMbY3ip/8/hO4MZnB6StzWMiacF0PoaCK+3YncOpAH4IBFekZs2ODGfz97m/1rxT/tqpmBPQgJAnwPMD1lo5/JaOARFe3rz3y03q38/XzZ537eS7l53Z+97Ezt5BHeiqNxHBi2XQtoGHw4BCm3p3aQK/8tHnfoY2W8vc71K/vtM77PdCJofnpXAaGaQIAFFmGVvnNqCkq+uL1JVZaZauuz2Z15vvz7wjbnNZ+r/vbVie+HnWmjW8H2p5RuMUs5v76Pzb/ssLBzF/8O+z52d+HOjYE51bjgEyiVtnK39m09TCggYiIfDGyW8I7l+cwMZtf87Kf++Z1/NO/8yD0Cy4scxM6t8V4noeZ2dvI5uar02ynBMdequ8cDndhcGAXZJl3jBFR81SltlayBMCD49jt6g5R21lFFxMXcggnNAz2RvCR98aXPe9YAvkFG3PzJbg2y0xsB7IsIRAIwjAMeMKDKwQUWYZpmRBC8NxqB5u4cKcuoAEAhg8PY+bKDITLYwBtDa5wMbMwV/07qAaqjwd6+nmcIyJqN1mGMjaI9Lf+AhDN3xQGAKKUQ/78NxDe+zADGohoR+EZLBERbVgwCAwMqvjCyzfWtfw33r6DkuFgZIzp0lzXxZ2pa8uDGezCsmCGrq4eDA3u5oUoIlozVVtKqy9J5WOI8ATcVdJbEm13xbSN2WsFjJ/LYfJSHpOX85i4mMPEhRzS0waDGbaZYGCp7ISolN3x4KFkFldahHaAXDKHzEymbroe1DFwYKANPSJan7mFebiVDFyaokKrpCXXNR09XYk29oyIiABAGe6HpCrIvfOVdS2fffNLUOJxyAmWnyWinYMjIUREtGHhSDnB1IUb86vM2ZjlCFwdT1fb2alc18HE5BUUi1kA5VTIppWD4yylt+7pGUJ/3ygkaWevKyJaH02tD2gAAJtZGogAAK4jYJVcWEUXjskghu0qFFwKaHDFUtkJ0+zMkiLUOhMXGt/pOHJkBJLM82/qfIZlIpVLl/+QgFBNdobh3kH+jiQi6gByJAw7NQO3UB9I2Qxz6ho814EcCfvcMyKizsWABiIi2jBFLV8UKZnrv8O3aNpQdnAhpHIww1WYlTsDPc+DaWUgXKs8gyShv38M3Yn+NvaSiLY6TVsqOSHXBDQ4NgMaiGjn0DW9OjgtsBTQYDG4a8fLzmaRTebqpushHQP7maWBOt90cgaeV67bHlR1yJVjXSwcRTwaa2fXiIioQlIVeFZpQ20IywBUZrolop2DAQ1ERLRhjlO+YBIKrD8iIRzUsFMznruug4k7V2qCGQRMKwOvUkdPkmQMD+5BV6y7nd0kom1Aqyk5gWUZGqw29IaIqH30yvHQE1518M+2zXZ2iTrEnfMTDacPHRpqcU+I1iaTz6JolAfIZFlGQCkf5yRIGOnn9ktE1Ck8x4Gkh1af8R5kPQg47uozEhFtEwxoICKiDSsWyheCTxzoXdfyAV3Bfbu7Uch7Pves8zmOjfGJyzArkdnlYIYsvEr6Y0VRMTqyH+HwNrqbRgJCUak6lsqsp0Sto6l6daeTsbTz2TYDGohoZ9HUpYw1QpTLiziuUw1uoJ0rPZ1BfiFfNz3UFUK0N9qGHhGtzhUuZubnqn+H1ED1d1Zfdy8CtUGtRETUViJfhNY9BCW6vhuXAqP3QVJUiHzB554REXUuBjQQEdGGmQYwOyPwPU/vX9fy731wFAFNweTEzoosdhwbE3euwLLL9Zo9IWDUBDOoqobRkf0IBDYWtd0ptICE0T0qTj2q48SDAWha+Qqbpks49pCGgREF8g4uO0LUKppauVtPWkpPyYAGItppajPWCIjqY5NZGgjA5LtTDaf372P5N+pM8+kFOJWUh5qsQqvUc9RUDYPdfe3sGhER3cWdTsKzbcQe/MC6lu96+LvgpjMQmfoyWURE2xWHDYiIyBd3bgk89Hgf9gzFcGu6+RNqWQK+9z0HMDPpYieNp9m2hYnJK9XUxp4QMOwssBjMoOkYGd5XHXjc6kZ2KxjZraJoOPj66Qm8fWkG2YINWZLQmwjiieNDeOjIIEb3qLhxxUE6ubOCW4haSdN02LYJSQIkyAAEbNaNJ6IdRq85xxLeUkCDY9uAHmxHl6iDLNxZgGM5UPXll816d/Xi1tu3IFyxwpJErWdaFuYzqfIfEhDSAtXnhvsGIcu8n42IqKMIAWdiBl0PfScyr3wWntv873ElkkD02FOwzl3ZxA4SEXUentESEZEv5ucE0ikX/+rvP4ZoSFt9gYof/94T2DUYw+0bO+eiYH0wg1sXzDA6vH/bBDPsPqhieLeKz37tGn7191/FX798A1PJIgolG7mihZuTWfz5317Gr/6nb+GNi9M4eERF35CyesNEtC61xxapUnZCCBdCMJCIiHaO2pITnlgqM2ExQwOhvE0kbyfrpqu6iu7R9aWHJtos0/Oz1XI5AUWvBjBEQxEkol3t7BoREa3AuXkHih5G//f9LIDmarFKqo7Bj/9LeIYJZ3JmcztIRNRhGNBARES+OfNtB/FwCL/1T5/BYE/4nvOqioSf/ugpfN+z+3HhtINcdmfUK7ZtCxN3Lq8YzKBpAYwO74eqNh8U0smGxhQMDCn4489fwNffvgP3HnezlUwHn/7KZXzljXHsPagiluBpCtFm0PWlu/YkubbsBLM0ENHOoagKZKV8riE8pzrdcnZQyjC6p7kbcw2ns+wEdZJcIY9CqVxDXZZlBBdLi0HCSP9QO7tGRET34BkmjDfPI3L4cQx89P8JqSa7TiNyuAvDP/YpBIb2wXjjLMBsUUS0w7DkBBER+cY0gTe/5eD+R8P4vX/5PF45M4UvvHID56/PV+fpSwTxHU/sxXc9uReRkI4zbzmYndoZJ+GOY5czM1QulHvChWFlgUqaY00LYGR437YJZpAVYGhMxZdevYUzV+vvcFvJX798A2P9UYzujuNSemdsG0StVJuhQZakauV427EQCDDNOhHtHJqqwXRNeB7geYAkAY7DbDVUVlgooJgpIhxfHqgdH4xDD+uwigx+ofYSQmB6frb6d0gNQJLKd/n2JXoQ1O89OEZERO0l5tMwXj+D8MMPY8/P/mdkT7+A3Ftfhr0wVZ1HH9qProe/E7ETzwKSBM924eWLbew1EVF7MKCBaFM0lyaqOavfte7nfe1+9nxzXnGl+ZtbC36tq85cT63NcLDSqxkG8MbLDoZGZBzfM4RnHhxFyXBQNBxomoxoWINpepgaFzh924JR8nN9NtuSP/vVWvrtug7uTF5dnpmhJphB10MYGd4HRfHjq7l1xw3pHmuht1+GJAPffOfOmtt98c1x/OOP9SAUdVDKr6e3fm1V/h1bWn3c8K9P/u1XfrbiV9+9Jl6x+c+u1cfq9b2eptWUs5GU6hy2bd+zd+t5tUbttXq7a25faO127q9Wb+er8/OY6FdbrT62dOK20vw6aPT+pJp/JV+3qdZ+hy5vSZaWstR4KL93z/MvmHJj63w9rTW3plp7TOjU84jm1vncjTnseWDP8mUlCX17+jB5cbINn7F/rbT+N20nau3x3L9zknJLyfQCbKecYUuVVWiV35KaomKgu6/FfWq2tU60Nb/XgU7tFRGthZhPo/TS69B2j6Dr5PNIPP69cEt5eJYJORCEHIzAzWbhCUDWVXiWs3qj1CKdeBTuxD75abu/P7oXBjQQEZHvhAAmJwQmJwRicRfxuARVU+G6HoySg+ScgI/Xijue67q4M3kNplUC0CCYIRDCyNBen4IZOkffkIy3L82gaKz9x9aV8TTmUiUMDGm4dZU/1oj8pKpa+TZkz1t2gdqyeacpEe0si3XmAZQDGSQFrthBJ6m0quStJHaf2g1JXj7g2b+vH5MXJ9vUKyLAsEzMZxbKf0hAqCZV+VDfIBRFAS/6ExFtEZYN++ot2FdvQenvgRQOQVIVuI4DkStALKQRev4pANsjoysR0Xpsr5ETIiLqOLmMh1xm515IEUJgavo6DLNc19TzBAx7+wczSDIQjSk4d21+9ZlXcOZqEo8dGfGxV0QElO8sVVUNjm0tuzvZsow29op2AkWVEO/ToIcVSDIADxCOh/yCjWKOaf6p9WoDGhbH/fzM0EBbn23YSE+n0T3SvWx6KBZCtDeK/HyuTT2jnczzPEzOTcPzygeugKJDqRzPIsEwumPxdnaPiIg2wJ1baHcXiIg60vYaPSEiIuognudhZvYWiqVc9W/TypZTWADQtMC2DGYAAKUyRlow7HW3UTRsqNtv1RB1hGAgjLxtQZIACTI8CFi2CSHE8gE+Ih/oQQndQ0FEEypMy8H1ySxKpgNVkdGfCGH4QASm4SKXtJFNrv97g2itlGXHu6UAXFe4UGSlfgHakeZuzNUFNADlLA0MaKB2mM+kYJjlQFRFlhFUy+XEJEgY6RtsZ9eIiIiIiDYFhwmIiIg2yVxyArl8CsBSMIMnynegqqqGkeF92zKYAQBEZUxAVdc/MKqqMgRv2CXaFAE9iHzlsSyrcEW53IRlGQgGw+3rGG074ZiCgb1hpHIlfPNbE7h0K12X0r83EcT9hwZw6kAfglEVc7dK8HZucidqIakmaMGrCWjwhAAY0EAVqckUHMuBqi8/b+/d1Yubb9+E5zKrB7WOYZmYSyXLf0hAWAtCksolUfq6exEKhtrYOyIiIiKizcHbr4iIiDbBQmoa6cwcgHIwg2Xl4AkHAKAoKkaG95Xr2G9TwgFs28NIX3TdbYz2RWCvdKMuz2CINiRYc7FblpZ2KJNlJ8hHoaiCof1hXB5fwJ996V1cuLFQF8wAAPNpA1994zb+51cvQ49K6N/DwRhqDbkyCAhgWRBNo+2Udi5PeEjeTtZNV3W1YeYGos3ieR6m6kpNlIOvAloAg9197eweEREREdGm4XAAERGRz7LZeSTnJ6t/23YBQpRH5mVZwfDwPmhaoF3da5mFORdPnxxBzVhB07qiOk4c6MPCbGVAQQZ6+hXcd1LDQ08H8OjTQTzyngBOPKJjdK8KLbCOFyHawXQ9WH0sSUt3IZsmAxrIH5IEDOwJ4vqdNL70rZsQYvWUCxOzeXz2pWsIx1V09W7foD/qHLLSOEODYIooukvyRn1AAwAkhhKt7QjtaAuZFEoNSk0AwK7BEZYNIyIiIqJta3vmuSYiImqTUimPmdnb1b9tuwjXNct/SBKGhvYgUDOQuJ3NTgucfCiI+3Z349Kt1JqWfeLEEBzHw0LSRf+wgpHdClRNwvlr8zj3ehJFw4Gqyhjpi+Kpk8MYHtOxkHRx66oD19mkN0S0jSiyAk0LwLZNyLUBDczQQD6JJFQomoyvfHt8TeUjJmbzuHgjiQPDCWTnV0rTQ0TUWvmFPIy8gWB0+Xl8fDDeph7RTmNaJmZTS4E1IXWp1ER/ohdhlpogIiIiom2MAQ1EREQ+sW0Lk9PXq3f42U4JjlOqPj80sBuhYKRd3Ws5o+AhnXLxg+87hN/587dQNJqLNBjpj+D5R3YjOS0wukfF8JiKF98cx9femkAmby2b951Lc/jyq7dw/6E+fP8zB3DklI5L52w4FouvE60mGAjBtk1IEiBBhgcB27YghAuZteNpg7p6NVwbT6NQXHtQwjuXkzi+vw/BqAIjzyg12jzeCplDJIl3OVO9zEymLqAhEAkgGA3C+P+z99/RkeTnffD7/f0qdgIa3Y0MTM6bA5fcJVfcZZC0kqhAkYq0gnW+g0MAAQAASURBVEVbki2Lry3L73WSfXVs+Vwd2brWlWWKEim9ShYlKlIMEintMuwuwy43zM7u7OQZZHTOodL9o4EGsAAGDaDRAfh+zpkz6Oquqqerq6uqq556ngITAmnveJ6HucTCSqsJVYeqrGo1ERnsZHhERERERHuOv9KJiIhawHVdzM5fg7NUHsBxLNh2qfF8LDaGQKCvU+F1zPVLNkKmgX/2vfcgFNC3fP3kcAg//b33oFQAXMfDyLiC3//Ma/jrL15bl8ywzHFcfOPiIv7H/3kexVoVJ8+pUHgtlmhLhrFyJ5+UK3nObDtBu6XqAr6gipeublyifSsLqRISmTJCYbadoL3leW7jb4GV9lViJ/2yaN/LLeQ2HN7HKg1NE5qE1mfAGPBB7zchDR60NyOdy6BUqSfKv7HVxMTQKFtNEBEREdG+xyNeIiKiFlhYvIVqtZ7A4LkOalYey62Yw+FB9PdFOxhd59g14NIrNiJBP/7vf/Qgnnj4CPqD6xMbRmMBfN+7TuFnv+8+2BWJqas2xg+r+OSXr+MbFxebmle2UMOH/+JlqAYwNMaTo0RbMVcnNKxpO1HtRDi0j6hq/WJwKrPz5JhEpgKp8qIy7a017VBWrW5Sct2j9bKL2Q2Hs+3E1vR+EwNnBjHy0CEM3jOO6J2jiN09hpGHDiNyxxDMqL/TIXatmlXDYmrjVhOx/ggCPi47IiIiItr/2HKCiIhol1LpeeQLKQD1cqBVK9c4Q+739yEaGelkeB1XrXh47aUaRidUPHb/JN715kO4Np1FrliDkAJDAz6MDwZRKjmYvWVjYdbB2CEVpYqNL74ws615pbIVPHt+Fm85N465KWeP3hHR/qDrJiAE4HmQq8qrV6vl24xFtDWxdDHY8Xbe/sdxXabf055z11RowKq/ufLRenbVRjFdRGBgbQu5/qH++grEjmfrSFUicmYQxkAAtfgMMk9/BpWZS/CsKoSqQR88jMC5RxA5dxJWsYLUq4twKttvVbSfzcbnG9sqQ9WWWk140DUdI9GhzgZHRERERNQmTGggIiLahWIxi0RytvG4ZhXgufUTTrpuYmhoolOhdRXHBqZv2Ji+BUSiCvoHQjgyKqEogOsCF8/XkM8sXVQQQGxY4osvTcNx3NtPeAPPvDyHxx+YRDiqIJNkUgPRZqSUMHQT1WoZQigQEPDgoVpjywnaHceub7v9hoJSeWcXpvymCm/7uwCibVq5Ar2m5QQrNNAmsgvZdQkNqqEiEA6gmC52KKruJDWJ2F0jkKgh/sn/hVr85prnPauKyq0LqNy6ALUvhsjjH8DgPaNInJ+HXdq41dxB88ZWEz7VaDw3MchWE0RERER0cDChgajrtepkWnO3i7TqppL2nwJs5Ry3XgrNLKf9vgxaqf3LszVTq9bKmFu40YjftkpwnPrJNykVDA8fgpRKl76/1nzGzU6lcZHABVJxF6m4i/6HdKiqgGN7yGc8LMftDwgYhsTzFxd2FFMiU8bNuTzCAz5kkjuaxJrIm9Ob243WxtS+9a7ZKTUX+xavEkBfRMLnl1BUAdfxUKl4yCTsdRdbWzI/AK3dBt9+fobuW0poqN+R7MGBbVtwHBuKsvanQquWeTeud9velrVkau20ddxek3E3swSsqgfb9nBycgCJzFxT013N0BQcGu5Deq7a1Bybib25z67ZaVFr16l2fsZrp+O5G0+3XqHh9tNr/7rS3u9xu/XKcVJ2IYuxM2PrhvcPh1FMl7Y5te7X3OeywScjgOjZYQivgsW/+XW4pdxtp2HnEoh/6jcQe+InETk3jPiLM/Dsg53VVq1VsZCMNx77VKNeWQtApG8AAX9gy8+nO49bevU3Q7O6cZlvrRu3wUTdrfu+x92I2w2iZa3bZhzk7xVTeYmIiHbAcRzMzl2D4zpLj2uw7JUy7cNDk9A0Y7PR6TZUrX5olitUdzyNTKEChb3XaRdUTWD0kIY7HjRx7KwBc8CFY1Sh9jk4dFLHnQ/5MHFMh2729npmGL7G31Iqjb8rFbadoJ3zPKCQrOGek4ONPt/bccfxKACBfIplx2lvuWsy01bWVckKDbSJXDwPd4MKYn3DfR2IpnuZET/0fh9Sn/vYlskMyzy7huTnPgapegiMHOzl6XkeZta1mqgnmuqqhtHYcCfDIyIiIiJqO1ZoICIi2oHF+E3UrHpZdte1UbMKjeeikRH4/aFOhdb7GkmrO7+YIIVgvjztmD8kcOycAcd18eXzM3jm/CxS2ZU2DEG/hjffMYq33TOGsyM+3LxURSbRm+1NTNPf+FtIFXDrVWbKlSICAW7HaOeySQuHhw3ccSyCV642Xy5H0yQeOD2EQroG1z3Ydx/Q3rNtu/H3cvJNPbmLax5tzHVc5JMF9A+tveDeN9gHoQh4Do9AASAwGkRl5jKs9Py2xnMrRZQufR3+Y29CYTqzN8H1gMVUHJVq/djzja0mxofYaoKIiIiIDh4eARMREW1TLpdEvpCpP/A81Kx8/XZUAKHgAMLhwc4Ftw/Ydn1ZDvTtvMLFQJ8Jx+YJZdo+X1DgxJ0mrs5m8f/+6FfwN1++tiaZAQAKJQt///Vb+MWPfRVfvTCHo2cMhGPKJlPsboZuQlE0AIAiVnKdS2X2AafdsWseMvEq3vWmw5gcai45RpUS3/nocfgMFZlF9k+nvWc7SwkNAo0LhJrC+z7o9rIL2XXDpCIRijIREAAUnwpzIIDiq1/e0fjF156B6jNgRPxbv3gfypcKSGbT9QcC8Gu+RquJaN8AQv5gB6MjIiIiIuoMJjQQERFtQ82qYjE+tepxAZ67VArU8CMWW99Tl7anVPBQLrt46I6RHY0/GgtgYiiIVOJg992l7ZMqcPycgWuzGfz2X51HtXb7qgue6+FP//4ynj0/h8OnDBi+3jy09vsCAOrnyqWoJ2bYtgXL4gVl2p3kTA2lnIXvfcdJ3H1yEMpt7iiNhk28/10nMR4LYv5qGXaNSWm092y73tZEipV1U1W1ToVDPWKjhAYA6B/ub3Mk3UkPGvA8D5Xpizsa384lYOWS0ENmiyPrfpZtYy6+UtXCpxqNfaepG2w1QUREREQHFm89ICIiapLneZifv9HoZWo7FThO/YKfVBSMDB9i+c8WScy7ePMdo/jU09dhWdtLTHjrPWMolRzkM0xooO2JDqoQCvD/fOpVuG7zF1M/8eQVnD0SweCYiumrvZcE4PcHG1VnFKnCdeqJHOVyEZqmdzAy2g8WblQQHXXxrjdN4tF7RvHylSSuTGdQqdpQFIlY2Id7T8YwNhhEteJg7koRtQqTGWjvObYNb6nCllh1r4emcrtHt1dIFWBbNlRt7Sm1UIwVGgDUW29Y1UYFu53wqiUI5eAtz7n4POyl4zBNUWEsbY+kkDg0PM7fmkRERER0YDGhgYiIqEnJ1Cwq1XoZds91YFmlxnNDsQne0ddCiQUHY4d1vPuhw/j009ebHm80FsBDZ0cwN3X7O+uJNhIdUfDC64soVeytX7yK53r48kuz+Na3HMXMjRq8Hlv9fGag8bcQKoAqAKBUKaKvb6BDUdF+kpyrIRO30B/TcO+JQbzp3No7TAsZG3NXSigVeuzLQz3Ncla29UKKxt8aj+doKx5QSBQQHg2vGWz2HbyKAhvyALHL1i1C1eEdsOS2RCaJ4lLLLykE/NpK+73R2BBMg+sXERERER1cTGggIiJqQqmURyq9UH/geaha+cZdR319EQQCfR2Mbv+xLeDWVRvvfugQCqUavvjCzJbjDEX8+KnvuRulooeFOV4Uo+0JhAT8QQVffnl2R+N/9cI8nnjkKAZiKlIL20uI6DRV1WAYPlSrZShSgYCABw+Vcgme50EIsfVEiLbg2B5S8zWk5mvQdAGpCHieB8fy4HCTTR2w3G4CACRWt5zgaRLaWilXXpfQoJs6FF2Bs0XLqv3OrtoQigq1LwY7l9j2+ELVoQYjcJKZ1gfXpcqVMuLpZOOxXzMhllrh9AVCiPZHOhUaEREREVFXYK0yIiKiLTiOg4XFm43Hll2G5y6VAtUMRCOjnQptX0vMu5i6buN7HjuBD3zrGYwNBjZ8nc9Q8fb7x/F//cB9EI6Cq69ZALtN0DbpPgnH9TA1n9/R+MWyhUSmDMPXm4fXq6s0SFG/mOd6Lqq1SqdCon3Mqnmoll3UKkxmoM5xVldoWJW4pe7yznI6GMr58obDfSFfmyPpPrVMBXa5Bv+Zh3c0vu/4fYCioBwvtDiy7uS4Dmbic41keVPVG9shXdUwMcTfmkRERERE/KVORES0hcX4TVh2DQDgOjXY9tIJTCEwPDTJXqZ7aH7aQaXi4eyhQTxwdhg35/I4fzWBcsWCqkqMDwVx36khCAgkFhxM37DgMZmBdkCRApa1uyurtZoDn9Ldpcpd18H5a5+E61qQUsNdx94DKSX8viAy2fpdlFKqcJz6ncvlchGmwYszRLT/VGu1xt/Ld0ILgC3EqCnl3CYJDX0+FJIH40L87ZQWigieehPyz38GnrO9ylXBs29FOV6AZx+Mg/r5xCIsq37cpUoFpqo3npscHmeSFRERERERmNBARER0W/lCGvlCpv7Ac1GzVk5QRgeGYfBC357LJFxkEi5CYYnBET/e+cAhqGr9bnqr6mH2hoNE3IHbW1X+qcs4rgddV3Y1DdNQYXf5NYxccR7WUlKW49rIleYRDo7BNP0QQsLzXEipAEu5HeVyEQPhWAcjJiLaG1WrWv9DAIqsb//1VT3riW5n04QGVmgAABTncwhN9KH/4e9B5st/2vR4wbveDnVgGJkXt243tx9k8lnkCrn6AwH4NBNYqhgzHBlEwOfvYHRERERERN2DCQ1ERESbcBwH8fh043HNKsJbKgXq8wURDg92KrQDKZ9xkc+wNjntjUrJhRQCxyf6cXU6u+3x+4M6YgMmbi5W9yC61knnb619nLuFcHAMUkqYph/lcgFSSAhIeHBRqVbguk49yYGIaJ+oWRbcpX4nilg5LcKKNNQsu2rDrtpQjbWn1Xx9XIcAwLVcpF6PI3LuQXiOjexX/rLRUmEzwTseRf+bvh3ZawlYhe4+nmqFaq2K+cRi47FfM6EsVf4LmH4MDTChlIiIiIhoGRMaiDax2U9tscnw7tds5Lc/ydCsZqfSncuzmai2foetWZJ17V9OrVkGrdTM3Fq9nJKpWdhLZdcdpwbHqZcmloqCocGJbcyxNetLa99fez/jrabkodn3195tWfPat91o9/agtdvz7lrvgJWIygUP+ZyNt90zvqOEhofvGoVtecgkndvOt5Prues6yBTW3vGYKczAdetVGfy+EMrlIgBAkSpsd7ntRBmBQGjb89uNXl7vele3bl+b0crPuFXT6t31rnX77O5Vq1Uaf0upNN6zbpgdiacbjwO9JqISPbyet0IpX0afEVozzOzrzDq0VndszyupMtIXFzFw6s0wRo6icOHLKF97AZ5trbxISPgO34HA2bfBGD2K7PUEijPbPw7bWPeun67rYjY+D2+pV56uaNCX2pYpUmJyeBxC9PqW9qDqzW0e1zY6CLied6vWbTe78TPuxpj2Oy7z/YsJDURERBuoVErIZOP1B54Ha1Ud+Vh0jP2Vifah5LyDu0/EEA7pyORrW4+wRFMkHrlrHKkFB14Xt3vOFefhuNaaYY5rLbWdGIffH0QyVR8upAosvbZYKiwlNBAR7Q/V2srd34pYqUBj6t1wMZp6RSVXRl/sDQkNARNCCnhub17UbLVyogS7PIvgRD/Cj7wX/W9+D2oLN+DVyoBmQI9NQpoBVFJFxM/PwcqUOh1yW8wlFlCp1hOrpJTwrWp3MzE0Bl3jb00iIiIiotVkpwMgIiLqNp7nYTE+1Xhs2eXGSUmfL4hQMNyhyIhoL6XjDqoVFz/xnXdB15o7TBYC+MATZ2DqKuJz1tYjdNDqdhMPPPDcyvBcfbihm1CUer6zItTGnbelUr7RboeIaD9YvpAIAYilEu+aqkFVeM8HNa+cK68bJqSAGWJizGpW0UL69QTmv3YL+ekCXG0M6D8Bz5hAKW5h4bkppF5dRC2zfnnuR6lsGrlCrv5AAH7N16jGEOkbQH+wr4PRERERERF1J/5aJyIieoNsLoFKtV523XVt2M7SyTUhMBgb62Bk1BQBDEQV+AMCUgFcF6iWPaQSDlyn08FRN/Nc4OqFGk7d48fPvP9e/PZfv4JcYfNKDYau4APfehZnj0Zw9ZUqrGr3XvRf3W7CMCp497s/h1deuRPVqrnUdsKBlAqCgX5kc0kIISCFCsez4HouyuUi/P5Ah98FEdHuOY4De6nkvRRK40KiweoMtE2lDRIaAMAX8qGcPRgX57fDtVwUdtDWaz8plktYSMUbj/2aCXUpqcrQDYzGhjsVGhFR1xKGBnV0EMI0IKSEZ9lwUlk4yUynQyMiojZiQgMREdEqtm0hmZxtPLasYqOd20D/ILRV5UCpu2gGMDSqIDokoesCiUwFlZoNQ1MxPGZi4qiKVNzBwqyDarl7LzxTZ9UqHi6/XMWxc378wk+8BS9diuPLL83g+myu8ZqRmB9vvXscD50bhoDElfNVFHNd3GsCa9tNnDlzEYZRxenTr+Pll+9Z03YiGOxDNpcEAEhFhbN00a9QzDGhgYj2hcqqdhNSrm434etEONTDKvlNEhr6uC7RepZtYWZxFliqemWoOnSl3lpCSonDo5OQkoV0iYiWKQN90I6MQR0dhGdVYWfj8JwaZCQE4/QROLk8rFvzsKbmAYd3rxAR7XdMaCAiIlolnpiGs3Qbv+1U4bo2AEDVdITDg50MjW4j2Cdx4pyKqm3jCy9O4dnzs8jkV+6sD/g0vPmOEbztnjHccZ+Ba5dsZBL8wUsbq5Y9XHyhisiQglPjUdx/ZgiW7aJmOdBVBZomUS45WJxykFyowrE7HfHWVrebOHfu1aX/L+Dll++pP5+7hXBwHD4zAFXVYNsWFKHChoAHD8VSHq47zBPtRNTzyuVi429FrCQ0GAYrNND2VIpVuI4LqazdN7LlBL2R67qYXpiFs3TBTZUKfKsS5SeHx2FoeqfCIyLqOvqpwzBOHUFl9grSf/MnKL72DDx75RyPPnwUfQ98C4J3fhO0yWGUv34BXqV6mykSEVGvY0IDERHRknK5gHwhXX/gubCtlRPeg9ExXsjrUoGQxKk7Vbx2I4Xf+/SrsOz1d8oXyxb+4bkpPPmNaXzvYyfwyN2juHIRTGqgTXkukJx3kJx34AsK+AISiirgOjaqFReFTHdXZFjtje0mjh27CgA4fvwqDKOyYduJTDZRbzshVTiuBc/zUCoXEAywrzMR9S7P81CqlOoPxEqFBkUqvJhI2+cB1WJ1XUUGzdA6FBB1q/nEAirVCoB6NQb/qoowQ5FB9AVCnQqNiKjr6KePQj8+gfinP4z8C5/b8DW1hetIfPrDSH/pTzH6g/8RvofvRvmZl+BVN28ZSUREvY1XZoiIiJYkU3ONv2tWCd5SOdBgMAy/nyeZupGiAifOqXj9Vgof+5sLGyYzrOa5Hj7xD5fx7Pk5HDulwjBFmyKlXlYueEgtOIjP2EjO2z2VzACsbzehqkt3B6oOTp9+HQAabScAIBjsb4yryJWLMsVivl0hExHtiUq1As+tb8MVqUKI+nFAwB/sZFjUwxxrfXKsoikbvJIOqlQ2jWxhqXWZAPyaD3Jp29MXCGE4wiqARETL1JEYjJOHEP/Ub2yazLCak09i9vf/I9xqHub9Z9oQIRERdQoTGoiIiAAUSzmUyvWLdZ7rwHHrpeqklIhGRjoZGt1GbFhCCA9/8JnX4Lle0+N94skryJVqGBrjCWfa/zZqN7Hy+MLK63L115mGD+rSncpSKBCon3QvlQtwXVY1IaLeVVrdbkKuFKwM+pjQQDvj2ExooM0VyyUspOKNx37NhLpU9c/QdEwMjXUqNCKirqQdG0Px4ldRePnJpsdxy3ks/vWvQY1GIMOsKEhEtF8xoYGIiAhAMrlSncGyS8DStfFweBCqyrKx3So2ouBrr82jXN3eRVbP9fD0S7OIDikQPOdM+9hm7SaWLbedANBoOwEAwUC9SsNy2wlgqVR7qQgiol70xnYTywkNilRgGGYHI6NetmGFBpUHlwRYtoWZxVlgqeqfoRrQlfrvSiklDo1OQlG4rhARLZN9QaiRAWSf+/S2x63OvI7qwk1oR5goRkS0XzGhgYiIDrxCIYNKtX6RznVtOE69555UFPT3xToZGt1GsF/C75d4+qXZHY3/lVfmICUQifJEIu1fm7WbWLZZ24nQJm0nCsXcXodMOyEAyU0Z0W1VqxW4Tn0buKbdhC/YqERDtF1sOUEbcV0X0wuzcJa2OapU4dOMxvOTw+MwdWOz0YmIDiTt0AhqyVlUbr6yo/Fzz30a2uggwMRCIqJ9Sd36JURERPtbMrVSncG2S42/B8JDkJK5f93KNAHLcjGX2Nkd48WyhVSuAsPHChzU/W4tPId0fmrb4y0nMwDr202sDL+Al1++BwBwbfaZRgKD49jwlu4q9JbK1lTLQH7q6rpphPzDGImyZ2k7qbpEOKohGFGhaisXYyslG7mkjXzahud2MECiLlOsbNxuIsB2E7QLG7ac4IWUA28+sYBKtV4BS0oFft3XeG4oMoi+QKhToRERdS3pM1CefnnH41dmLkEoCqRpwC2Uth6BiIh6ChMaiLapmQ7tvX1/TzPRN9+nvn1TarfuW07tX++anWP7PuVm57Q68lw+hWqtDABwHQuOU7/4pygq+kKRFkXWmvVlJ+9vd7p7PZcKYG1wEnk7qpaz5u7zvdWr60FzWred6r5tS6d5notU/gZsu7bjaWzUbmLZctuJatWE69pwXfu207Kd9d+7fGkWw5HTgFj7+W30KbVy3Wz3/rG5+e3ttlNRBAYnDQTDKkoVG1+/OI94pgTL8WBoCo6P9+P0oQgiox4yizVkFq2tJ7oN3bnMWzOdVk6rt38PdKPdfTKe56FUXt9uQkoFpsl2E92hvcedrbJRhQYhBaQi4TrMKjuIUtk0soWlilZCwK+ZkEvHR32BEIYjg7ueB/cxzdvvy6p3318rt+ft3je0an7dF3fH1ydFwrWqOx7dq9UTyVihgVqj+4472x1T+7cJ3bjMm9G6uDu+He5yTGggIqIDy/M8pFLzjceWXW78PTDA6gzdznEAXd/doYypK6iWe/WAmQ6KqlWEY6+/KB0IFCDl1hdLgsEC3vOeT65rN7FMVR386I/+P/jkJ9+DQmHrO5VdV6JYXPs623Fg2WXomn/L8WnnVFVg9IQJy3XxyS9dw5XpbKOKxrJLN9N46vlp3HNqEI/cNQpNVxCfrnQoYqLuUCoX4Tr1ZK217SYCbDdBu7JRQgNQbzvBhIaDJ1/MYyG52Hjs10yoSz2hDE3HxBB7uxMRbcZzXMhVFW22SxpL426ybyYiot7GhAYiIjqw8oU0alb9Io/r1OAulWZXNb2F1Rlor5SLHlRF4Oh4H67P5LY9/kCfgWi/iStzt78bnajTTD2Es0e+BdfnvoJyNdMYHgwW8N3f/ZcYGZnffOQmjY7O4Z/+049s+bq5uRH81V9995qEBkMLYix2J5MZ9piQwMgxE2XLxsf//hKKpc0rL5SrNr5yfg6L6RK+69HjcB0dybmdV/gg6nW5wspxgib1xt9BH8u+0+5s1HICqLedsNDaCjnU3cqVMmYWV47JDNWArtQrwUkpcWh0EorCu4aJiDbjFcrwHb27/sNnB73zfEfvgWvV4JaZzE1EtB/x1lMiIjqwMpl44+/V1Rki4aHGnXvUvUoFD/m8g7fdPb6j8R+5ewzVqodMktn71P38ZgRnj3wLRqN3Nu4mXlgYwW/91j/Bk08+BsfZ2xPkjqPgyScfw2//9j/BwsLI0lCBWP8xHB17C0yjb0/nT0B/TIOiC3ziycu3TWZY7dp0Fn//3BQGhnWoOvdrdDBVq1XUaiu97OXSBUVd1eEzd34XIBFw+woNdHDUrBqmFmbgLV2A0xQNPs1oPD8xNAZTNzYbnYiIANRuzUENReA/+eAOxhboe/AJ2NOLgMsKSURE+xETGoiI6EAqV4qoVIsAsKZnvKYZCAbDHYyMtiMx5+KeU4PoD+pbv3gVXZN45M5RJBfd3m3RRgeOFArGB+/G2SPfAp8RBgC4roIvfvEx/NZv/RPMz4/cfgI7NDdXT5z44hcfg+vWL9AIaDg88iYMDpyAEPxJ0Q59UQ3nryaQK2yv0sL5KwkUyzbCMW2PIiPqbvniSnUGRVn5HoSC/Z0Ih/YZJjSQ7diYmp+B49TXBVUq8Gtm4/nh6BD6g0z8JCLailcsw15IoP+h79j2uP6TD0ALD8G6ObsHkRERUTfg2UciIjqQstmV6gz2quoM/f1RVmfoIcm4i1rFwwe/6y7oWnOHNUIK/Oi3n4OqKFhkuwnqQe2q1rBxVQZAQR80jMCq8c6XdvH3qdANiZcuJ7Y9rud5eOnyIoIRDdy90UHjOA6K5UL9gRBQZb3rphQSoQAvMNLu3a7lBO1/rutiemEWNauebCilAr/ub/yejPQNYGgg1skQiYh6Su3qNMzJsxh49PuaHkcdGMHgd/wMrNkFuIXSHkZHRESdxIQGIiI6cBzHRj6frj/wXDju8gkoiVBwoIOR0XZ5LnD5VRtD4QD+xffdt2WlBp+h4p9+1104fSiCK6/asNlS/kDrj0iMHtYwcVzD+FENg2MqVK03rvjWqzXchbNHvnlPqjVsVJVBChMB5ShUhCEgkM2ld/s2qEn+PgWL6RLSuZ31g331RgqqKmD4+fOPDpZCKQ949VJMqqI3LjIGAyFIZvhQC7jOxsl9UuH29iCYSyygXKknxwshEdB8jW1LyB/E2ODeVM8iItqvnFQW1VeuYOCbvh+Rd/wIsJSMuhlj7CTGf+SX4FVdVF661KYoiYioE26/RyAiItqHMtk4vKU+A7ZTabQcCIUikJInH3tNtezh4ssWTp7z4xd+4i146XICX355Btems43XjA8F8da7x/DgmWF4HvD6eQvFPO8uP4gUFRgc0RAZUeDzScTTZZQqNjRDYGjIh/GjGtIJG/FZG6V89/cjqVdr+GbMJV7FfPICPHiNag0/8AP/BydPXtn2NC9fPoE//uMfXNVeQsCvj0H1+iGEhOsW4XoObNtCqVyE3xdo9duiN1BUgULR2vH4pZK9NB0JgNs+Ohg8z0NhVbsJVa60m+hnezFqEalu/Nths8oNtH8spuLIFZa2MUIgoPugLP2WNA0Th0YmWPmPiGgHrFtz8BwH/Q99B0J3P47cC3+H3Aufg5NbqlYnFQROPYS+B5+A7/AdsBYTqHzjNcDhvpeIaD9jQgMRER0onuchm10p2W07K3e79vdFOhEStUC17OHCCxYigxInRiO47/QgHNdDreZA1xQoikCx6GD2loPEogOXnSYOJNMvcOycASFdfOXCDJ55aQ7xzErLGU2VuO/MEL7p3nGcuTeI6es1LE53/8qyXK1hIDSO63NfRbmagesq+PrXH9pRQsPXv/5QI5nBZ4RxdPTNcG0F84u3AACKYsC166U8c/k0ExrawcOu7iYXS9fbPK/7k3SIWqVYKsC269twKVVIWf8O+c0ANFW73ahETdustYRrM3lsP0vnMkhmUgAAIQQCmg+qrK8LmqrhyOgkE+WJiHbBnllEMZmFdmgU/Q98Owbe9j64VhWeY0PqPkAI2AsJlL76Mpx4qtPhEhFRGzChgYiIDpRCMQPbqd/l6jg1eG794o7fH4KmGZ0MjXbJc4Hkgovkggt/0IbPL6EogOPaqJY9FHI8sXyQ6abAybsMzCeL+MhfnUexvP5ud8t28bVX5vG1V+bx9vvH8V3fdBwCAgvTO78zvp38ZgSHR96Eizc/BwBQ1Z0lY6we7/DIm+A3I/A8D4qiwXEsKEKFDQkPLkqlAmzbgsqLg3vKsT30B3e+j+pbasfj2kxooIPB8zxk85nGY11ZaUkVCvZ1ICLarzZLaGCFhv2rUCpgPrHQeGyqBjSlfnpVSokjo5NMmiIiagGvUkXt0g3ULt+AEhuAMHUIKeFZNpx0Dl55Z+34iIioNzGhgYiIDpQ11RnslR8/fazO0BaaBsRGFPT1CwjpwXY8SEVgcEQiEXfhtejcb6ngoVTYoxPJAhiIKogOSqg6IES9smEp7yE+76Ba4QXDbnTsrI54toT/9WcvomZtndzyhW/MwHU9vPfxkygVHOQzvZEQky+tnGA/duzajqZx9Og1vPbauaXpLSLoi0EIgb5QGOlMHEIAiqLBdqoAgFw+g8jA4O6Dp00VMjYmTvowEg1gPlnc9vh3HouiVnVRKfXGeky0W4ViHrZdT0aTUoVUlu+c1hEwWVWGWocJDQdLpVrB9MJc47GhGjDU5YQpgcMjkzANszPBERHtV57HKgxERMSEBiIiOjhs20K5nAcAeK4D162f6FY1HQE/79bbS4YpMH5YQSQmUbUcvHxlEbmiBSkEYmETdx6LYeIIkFh0MXPL7s6WEAIYm1QQG1Gg6wIXb6QxnyzCdlwEfBruOj6IkQkdmZSL2Vs2SgUmNnSL/ohEIKjg1/7staaSGZZ96cVZ3HU8hsHxEPKZ2h5G2Dq54uqEhqs7msbx4yuJELniPEaj9eSG/r4I0tkE4HlQpL4moWEgHGOf6D1UKTqolBzce3oQn31mewkNqiJx1/EY8oneqDRCtFuu625anWGgnwms1FpS3bitABMa9h/LtjA1PwPPqx9LaooG36oKfxNDowj6mTBFRERERLQXmNBAREQHRqGYafztuNXG3/0hntzeS4GQwMlzGjLFCj7++Vt44fVFWG/oKxz0a3jzHaN4/IEJhPo0XH7VgtVF14+lChw/o8EfFPjCC9N49vws0rnqmtf82ZNXcOfxKN754CGcuTuIaxctZFK8G7obxEZVXJ5KYzFV2va4X3ppBv/4PXdCNy3Uurz6huPaKJTjAIBwOI2BgfSOpjMwkEJ/fwbZbBiFchyua0NKFaqqIejvQ6GYhRQCitDgeBZc10GxmEeQZdz3VC5p48yhCF58Pb6tKg1vuWsEmqoglyzvYXRE3SNfzMNx6pmRirJSnUFXDQR9wU6GRvvQZhUaXJvHgPuJ7di4NTcNe2nbokoFfm2lEsNQZBADfeEORUdEREREtP9tnEpORLviNfmvd4km/u2N3lqWzSyn1i2r7l3vOre+vFGxmG38bTu1xjLxB/u5nHbs9jGbfolTd2i4OpPGf//D5/C1C/PrkhkAoFCy8Pdfv4X//kfPo2xXcfIOFXKDtMvm1/MWLk9RT2ZQDRe/9icv4NNPX1+XzAAAruvh5csJ/M+Pv4DnXpvH8bMagv2dO9Tqzu1BKzX3GWuGQP+Agi+/OLujubxyLYVcoYboSDN5wFvH1NrPZe20C+VE467Bo0evYaOCCa4r8OyzD+Ov//o78eyzD8N1179IiJV2FZ7nIr+UJAGIpfY89fkpit74O51Nonu3U81o7z57J3JJC6W8jfc+dhxDEX9T4zx4bggPnRtBfLoCpxsr3xC1mOO6yBVWjvc0ZeXu6YFwtBMh0T6naHvYckIREKrS6d1PD2vNUZfjOpian0FtKdtaSgV+3deoTDXQF8ZwpFtbb229DNp/9NONv1K6MaZWatX7a+9Zp1YenXf3UX4v6sZtS6s0t5637v01P7/V9np+zWhuGbRum9GN61Q3xrTf9eoy77V4uxUrNBAR0YHgODZKpXq7Cdd14Lr1k4yG4YOm6rcblXbh6CkFc4kCfueTF2A5W9+pls5V8b///CX8qx98AJNHFNy80vlyvSPjCgJBgV/7k5cxs1jY8vWu6+Hjn78Ev6nh1OkIXv56rffPgfUw3RAQQuDGfG5H43uuh5sLOUz0wF13ueJ84+/VbSOWFQoB/MVfvBfXrh1vDLty5QTe+94/RyCw9o7/Y8eu4oUX7gcA5IsL6A+MAgD8viA0zYBlVaFIFRIKXDiwrBoKxRyCgdBevDVaMn+zgtGjJn7gXafx1VfncP5qEqXy+lYSw1E/HjwzjNOHB5CYrSKXZDYDHQyFQhZuozqDBinriYWGZiJgBsAdMrXaRi0nHNvZ8aqm+jQER0MIDPkhtZVTdla+jPx8EaV4EZ7D9bhdXNfF1Nw0KtUKAEBKiYDmgxT1zz3oD2B8cLSTIRIRERERHQhMaCAiogOhUMhg+czi6nYTgQBLpO+VQEggFJL46KeuNJXMsCydq+LzX7+J73jrcUzdcOB2+DpcbETBM6/MYrqJZIZlngf8xVNX8B9/4s0YiCpIJzqfmHFQKUvXGSxr559Bteb0RF2z1QkNR49eX/Pc9etH8Od//r0oFNYmHFy7dhwf/vBP4Xu/989w5MiNDcdfPV0AGAjHsBifAQCoqoGaXW/lkckkmdCw11xg7moF0VEdbz43iofvGsOVqQwWUyXYjgtDV3B8oh9DA35USg7mrldQzDKZgQ4Gx3WRLSwlr4m11Rki/azOQHtjo5YTO2k3ITWJyKkIfJEA7EIWhZc+h1p6Dp5tQTH8MCfPYeDYPQgfCSM3nUd+Orv1RGlXXNfF1PwMykvJDELUkxmUpUQpUzdwaHiiUamBiIiIiIj2DhMaiIjoQCisajfhOCt3swYD/Z0I50AYGpWYixdxc277d8Z/7cICvv2txxAblFic61wP4v6IhM8n8fRLc9seN52v4sK1FCZHw0xo6CBn6S5G01BRru7sc/CbKrwu/wgtu4JyNQ0AGBmZg99fTzJwXYEvfelRfOELj8Hz6ifgNdWH0eg5zCUuwHIqKBRC+L3f+xE89thTeNvbvgQpPQQCJYyMzGF+fhSlahqWXYWm1i8OhoJhpDJx2FYNilQhoMCDg5pVRbGYB9BcOwTaueRcDcn5GkIDGiYGgjg8HIKUAo7jwSp7mL5cRqXY5SstUYtlcil4SxW4VKlDyvpFRp/hh8/kdon2xqYVGrZBMRUM3TkE2EUkP/cnqExfrGfHrlK+cR7Zr30SgXOPoP/ed0M1FaSvpHYVO23O8zzMLM6iVKkfTwkhENR9UGQ9gUXXNBwZOwRF2bjlCBERERERtVYP3GtGRES0O47joFSqX1R3XRfu0i3/huGDphm3G5V2ITIo8fQrszsat1y18eKlRQzEOnuoEhlUcH0mi3i6tKPxnz0/i/6wAlXnnVudUil7cF0Ppw8N7Gh8TZU4NtaPcnFvyzv7ghL9UQXhmIJgWEJRt7fO5EsLjb+PHbsKoN5i4g//8AN46ql3NJIZ+vwjOHfkWzE0cArnjn4rQv5hAIDnSTz55Dvwh3/4ARQKgaXpXNtw+kIIDPTHGo/VVW170pnEtuKmXfCAfMrC7NUKpl4r4+aFEqYvlrFws8JkBjpwqtUqCo3qDGLNdmmA1RloD21UoWE7CQ1ClRg8Nwivkkb8k7+GytRr65IZlrnVEvIvfB6pv/89BEZC6D8c3mnYdBv1ZIY5FEr1dlxCCAQ0fyOZQVM1HB07Ak3VOhkmEREREdGBwoQGIiLa94rFDNhuor0UFVCkQDxd3vE0EpkyOn2eUNU8LOwwmQFA4/1r+hYvpD3j2EA6YeOb7p3Y0fj3nxmCrilILrS+bL9UgcExFWfuN3H2Ph+OnzNx7KyJk3f5cMdDPhw6pcMfau5wfXVbiGPHruH69SP4zd/8KVy7dnxpqMBY7G6cnHwMmmoCqFdqODX5GMZidwGoJ1Bcu3Ycv/mbP4Xr14+sSWh4Y9uJvtAA1KUvqCo1CNRP8tesKvL57VdlISLaKc/zkMquJFNpigG5VALebwZg6manQqMDQNXXFz7dTsuJ0FgIiuoi8be/BbdSbGqcyq0LyH7lrxCa7IdqskJAq83F55Ev5gEsJzP4oC5VYlAVFUfHD0PXmMxARERERNRObDlBRET7XrlSaPy9ut1EwM+Ehr2y3ErWdXZ+V7vjolEuupNcdxfvYekOu/qFlb29w582F5+zceaeAI5N9OPaNnpOCwF8070TSCds2FZrP79QWOLIGRMQHp57bQHPnp/DfKII23XhNzXcfSKGR+8dx+l7A0jHLdy8VIO3yfURz/OQK9bbokjp4Pr1o3jmmbeuaTFxbOwRhPxDG7xHibHYnQj6BnF99plGC4rf//0fwSOPPA0pHbiuglxxHp7nNfpECyEwEB5EPFGvwqKqOiy7nsCTSCQwEOH2lYjaI1/MoVarQgAQUoGq1C80SkhEw7Hbj0y0S2ZwfcJMrVxrbmQBBIcDKL7+Zbil7SUDFi9+FaF734XASAjZG5ltjUubm08sIrtU7UUIwL8qmUFRFBwdOwSDmcpERERERG3HCg1ERLTvlcv1u508z4Pn1RMaNE2Hzjv29oyzdDN7MLDzu5eCfhW23dkkANcRCPl28R589ROenX4fB10x5yGTtvFj33YOA6Hm28y89/GTGI74sTjT2uoM/VEFJ+408fKVOP7TR57Bn3z+EqYW8rAcF54HFMsWnj0/h1/+/efw4b94GWafwPE7DIhNjtyrVgE1u15JxHUVPP30o+taTGyUzLBaX2B4XQuKp59+FK67VHnBLqJqFdaOs65KQ32elUoF+Xx+ZwuHiGgbHNtGJptuPDYUo5FUGe4fgKbywiPtHc3UoGjrKyRU8pWmxvdF/ZCGiuLFr2x/5p6D0sWvIDAcALogAXg/WEzFkc7VtydCAD7NB02p3wcmpcTR0UMwDf5+JCIiIiLqBCY0EBHRvuY4NiyrflLRde1GS1rT8Hcwqv3P84Bc1sH9p25/EXUzQgrcd3IYhQ5Xrs9nXZw5EoXP2Fk53/tOx1Auu6iWmdDQaTcu1iA9BR/6/vsxPhS87Ws1VeIH3n0Kb717FDcv1VAutO7z8wUljpw28JVX5vEHn30N5ert+2y/fiONX/uTF6D5BSZPbnxh7o3tIOrWt5jYykYtKG43n+UqDctUdSVZJB6PNzVPIqLdSGWT8JbK16iKDqks97jX0R8a6GRodAD4QhvvX8v55lqumWETtcVbcArprV+8gdK1F6DoGvQAE3d2K5FJIplJNR6bmgl9qdqLEAJHRg/BZ/o6FR4RERER0YHHhAYiItrXyuWVO4pdb+Uua9MMdCKcA2VxzsUdx6PoD27/JOsdRyPoD+lYnLv9xd69llh0IITAm86ObHtcTZV48x2jSMx39j1QnWMDl89XIRyJf/3DD+Cfve8e3H0itqatyeCAH9/99uP4xX/6MB44M4Krr1aRTrT28xueUDGfLOJP/+Fy0+PMJ0r4P397EdEhDYZ//eH7GxMNNNWH04fegbHYnY0WEc1abkFxavJxaMraCzX50sK619+uSkOhwCoNRLR3SpUiSktVuIQQa6oxxMKDEBskZhG1krlJQkOzFRqkKrfdamI1p5RvTId2LpVNI55KNB77NBOGUt+eCACHRycR8DEZnoiIiIiok9ROB0BERLSXypVVCQ2u1fjbMHlSaq+lkx5sC3jnmw7hz5+80vR4Ugq8802HkU45Ha9s4NpAKu7g7Q9M4KuvzqNaa/7i9tvuHYOhKUgsVPcwQtqOelJDDf0RG4OjQfzYd5yDEALVmgNVlVCkQLnsIjnrILFQgW21dv3TdIFwTMVn/vYqPHd70z5/NYF0roLBURXTV9f25h4ITSBfmoXjOujzj+Do2CNNV2XYzHILimuzzyJfWoCiKAgHJ9a9brlKQzwxCwBQVRNA/W7pRCIBYHhXcRARbcR1XWRW3U2tqUYjgSvo74OPx3nUBmZw4zv2m01oAABsM/Fw7ahL43qsBLZTmVwGC8nFxmNTM2CoK8kMkyMTCPlvX9mLiIiIiIj2HhMaiIhoX6tUSo2/XbdeoUFKCUNn/9O95rnA1HUbj947jkS6jC++OLPlOEIK/OA3n8bEYBAXz1tbvr4dZqccnL1Hx0+85w781l+9Ast2txzn7hMxvOdtxzBzy4bdHW+DVsmmXGRTNeimQCAooagCrmvDqnnIZ7b+fHcqOqyiWnXw4qXtt2PwPODLL83iW99yFDPXa/BWhRntP4qQfwiZwiwGwye2XZVhM8stKOKZqwgHx6FrG18gDAXDSKUX4Tg2VKlCkTYAF+VyGVYxj0Ag1JJ4iIiWpbNJWEs7WEUqUBUNgAcpFETCsc4GRwfGRi0n7KoNu2Zv8Or1HMuF2bfz9VXpi9an08SxKa2XzmUwn1ipPmWqOsxV7bMmhsfRH+wDwIQRIiIiIqJOY0IDUQc187O4dwulNht5a04ONDuV7lyezUS130+i7M0ycF0XlUpx6W8H3tLdS820m+jl72c3xZ5c9KDrNr7n8ROI9Jv4+69PIV+qbfjaoYgf3/1Nx3Hq0ACuXLRRKuz1et/cemdVPVx51cKpO8P4mfffi0/8w2VMLWxcSt80FLztnnF82yNHsDjvYO7WdtsV7O/tQTetmwBQq3ioVdrXEsQXFHj9Vhq2s7MLD69eT+I9jx6D4ZOoFNdOQ9cCGBo42Yow1xBCbjldKSUGwoNIJOcAAIZpolqrJ5Ml04vw+QKQcqUcdretB0TUW0rlIgrFpf2wAPRVFWki/TGoUulQZLQ7vXd8s1HLiUqh+eoM5UQRobtHoEXHYSW3Tvx9I//JN8EqVWEV3nhs3bpl2dz+uLn5ddO+PZlJYTG1kmBqqDpMbeXzHB8cRTjU3/L5tnJ5tle716n2amVM3fgZt+r9deNn11rdty1rfl5bx96dn9/+3ra0/3PZ78uzVbrvu17Xvn1Dt7637lzvuvG47OBiQgMREe1b1WoJywcerrdyp5TJMsRtNTftwrIsPHLXON527zheuhTH8xcXkC9ZkEIgGjbxljtHcXIyjHLZxeuv2CjkuutOs1LBw8WXajh62o9/9UP3Y2ohj6dfnsVCqgTbcREwNdxzchAPnhmGEALTN2zMT7fvQjn1BqkA5Wpzd21upLQ0rtKF1+r6QgNIZ+JwHAu6psP1LDi2Bdu2kMulEQ5HOx0iEe0Djm0jmVnpda+rJsRSwpShmegL9nUqNDpoBGAG1yc0lPPlpidRzVZhFSsInH0YmS9/Ynuz1wwETjyI7NTGSba0uUQmiXhqZTtiqDp8q5IZRqLDiPQPdCI0IiIiIiLaBBMaiIho36rVVu6Qct2Vuv+mwYSGdkssuEjGa4gOSpwcj+L+M0ON5zzPQybl4vULFrKp7kpkWK1S9vDaixaC/Q4GR3z4vnedglxV2r9UdDB7y0Fy0YGz82vWtI+5LqCpcusXbkJX65kMOyzwsKeklIhGhrEYnwYA+Hw+VMv17W46m0Aw2A9V5U8PItqdRDoO16knDCqKutRqApCQGIoOdzI0OmAMnwGprN+nV/LNV2gAgMJcCeHjD6D0+ldQW9qHNiN0/zcDUkFxobCt+R108VQCiUyy8djUdJirqrwMRwYxOMAkTCIiIiKibsOzikREtG9ZdrXxt+uuXAHU9fV3U9He89x6YkNiwYWi2rj7AR2aLmDVgMuv9k4GQCHropB1ceOyDVUTkAKwbY9JDLQlu+bh0PDO7x6eGA7C8zzY1e4sedcXGkA2lwIAKIoCTdcBVOB5HlLpOIYGRzsbIBH1tFw+i0q1fve7kHJNq4nowCA0Ve9UaHQAbdRuAthBQsN8HmbERPTdH0Tisx+BlZrdcpzQve9C6I5HkbwYh2t3YZZjl1pMxZHMpBqPTc2AqRqNx8PRIQwNxDoRGhERERERbWHnt4gRERF1OcuqrnpUv5tPSglFYT5fpzk24HXnNdmmeS5gVT1UK0xmoOYk5m0MRXw4NrGznsyP3j2OTNKGbXXvl2cwOtL42zRNiKUuiIXiyoVIIqLtqtWqyORWLkTqigGxVCUp4AsiFGCrCWqvzRIayoVt7us8IHExgVoZGPz2f47Qve+C9AU3fKk+fASRd/4YQve9G+krSZTixe2GfWDNJxbXJTMYq5IZRmPDTGYgIiIiIupivKJDRET7lmXVANRbGrhe/e4llXfvEVGHlAse8jkbj94zjmvT2W2NOxL149hEP6680t1JAabpR//AAArFDKSQUBUDllO/WzWZXMD42JHOBkhEPcd1XSRScXhLmZCaqjeSU1VFRWxg6HajE+0Jf59vw+HbrdAAAHA8xC/E0X+4H8G7Hkfo3nehcvMCrNQMPMeG1H0wD98JbWAYtXwZiQuLqKS7+3igm8wnFpDOZRqPfZoJfdVvwvHBUUT6BzoQGRERERERNYsJDUREtG8tV2jwPA9YuqGZ5YiJqJMSszbuPTOIly4P4sVL8abG0TSJH/7WsygVHeTT3V9aemR4BNdu5AA4UKQO26nBg4tqrYJ8IYtQcGcVKojoYEpnk7DsepKqlApUZeVYbnBgGIpUOhUaHWChWGjdsFqptvMWEB6QvZFB9lYW/pgfgaHj8A2fhJASnu2gVrCRfGEOVqG69bQIQP034Fx8HtlCrjHMp5vQV21DJobGMNAX7kB0RERERES0HUxoICKifclxHLhuvc2E5630A9A0JjQQUeek4w4CIQsfeOIspBT4xsXF277eZ6j4J991J4bDflx+uTcuYmiahqGhIUzfmoMQgKaaqNklAEAqHUfAH4KU7HxHRFvLF7IoFPP1BwIwVLPRaiIcGoDP9HcwOjqoFE2BP7x+3csn8rufuOuhtFhEaZHtJHbD8zzMxueRW05mEIBP80FXtOWHmBgex0CISZZERERERL2ACQ1ERLQvLVdnAAAPK3dKqUxoIKIOm75Wg+cB/+iJs3jzuRF88aUZvHotiaVq6gCAgZCBh+8axSN3j0ERCq68UkW13P3VGZbFYjEszCUAAIpUIYUK17PhODYy2SQiA4MdjpCIul2lUkY6u9LzXld9EEvJUIZmYqA/2qnQ6IDrGww1EmtWy8VzG7ya2s3zPMwszCJfWkmG8ms+aKuSGQ6NTKAv2Ne5IImIiIiIaFuY0EBERPuSZa8kNLjuykVAtpwgom4wc72GfNbB0GgIH/zOO5Er1LCQLsG2XQR9GiaGg7BqHlKLDuIzFdiWt/VEu4iUEqNjY7j4YhYAoCkmqnYBAJDJphAK9rNiDhFtyrZtxNOL9bZhqB+/qUr99IWExFB0GALrLygTtUPf4MYXwpnQ0Hmu62JmcRaF0lKFCwH4NT+0pe2HAHBodBJ9gfUtQ4iIiIiIqHsxoYGIiPYlx1lpM+F5TuNvVdU6EQ4R0Tq5lINcyoHhsxAZUhHWApA64DrAjderyCQcoLfyGNbo7+uHzwygXClCSglV6rDdGgAPieQCRkcmOx0iEXUh13WxmJyH69SP3xSpQlONxvOD0WEmqFJHhTZIaLCrNsrZcgeioWW2Y2N6YRblytLnIMRSZYalZCghcGh0EiF/sINREhERERHRTjChgYiI9iXP3bg0u2DfdiLqMtWyi7mbtcbj/XTPcSw2iqnpKwAAVTHguDY8uChXisjlM+gLhTsbIPUMKYHggAbNlFCkgON6sKsuCmkLrrP1+NQ7kuk4LKu+TRRSga6ZjecG+iII+HgxkjpHqhLBgcC64blE71dnMMImzLAPQlUAAK5lo5wowi5aHY5sa5Zt4dbcNGrL2w4h4NfMlcouQuDw6CEE/es/OyIiIiIi6n5MaCDqcs3cmNnbFz7aG33vLs9momruNt7eXQbb4616p96qxvRS9HJCQ7OfTDfe0r1V7ALdGTcR7Yahm+jriyCXS0EIAVU1YdklAEAqtQi/L8DKOXRbmiHQP6gjGNYAKZDIlFCzHOiqguiID5ExE8WUhWyiilqF+5Fel82lUSrXS8ULIWCqJoSoHyMEzAAG+iLg8UIrbL0Mmzvq3N+fxUbLoC8agpDrn8nHc+iW5bGT33JSBQbvGoWVTcAtpQAhoUQj6Ds0gWqmhOJ8AeV4seWxtkKlWsHU/AzspQp9QggEdB9UWU/MkFLiyOghBHz+Dcbmd6EZza9TrVoOrfpcmptWe6fTnN2/P2+L55udzk6093vVqvNXrT0P1sp1uJ3au8yb1br59ern0q1as91o93ev/bp1/9Eq3bjMm9WN63Cr9PLnsjkmNBAR0b60WYUGiO48zCAi2q+ikWEUi3k4jgVVqnCFBsez4Hou4ol5tp6gTfn7FAwd9qNUqeHpV2bwypUkKrWVcgy6JnHuaBT3nx7C+OkgFm+WUczYt5kidbNSuYhMLt14rKtmo7KWrhoYjI50KjSihtBgaMPhuXjvVWhQNAmpAp5jo3T1Gyi+9iys5Mya1xhjJxE4+wgGTp+DL+pD+lIC3iY/szqhWC5hemEG7tJvPyElgpofcinpRFEUHBmdhN/cKJmBiIiIiIh6BRMaiIhoX3LXnGnbLxUaiIh6jyIVDA2OYW7+JgBAU024lsPWE3Rb/qCC0WN+vHo9ib/76i247vo7DGqWixcvxfHS5Tjefv8E7j89hIUbTGroRbVaFYlUvPFYUw0oS6XiFalgODbCYzjqCn2DfeuGOZaDYro7qxdsRqoSsTuH4ZYLSHz2I7BziQ1fV529jOrsZeijJxB7149i4PQgUq/FN3xtu2ULOczF57BcjE+REn7dD7mUwK6pKo6MHYapGx2MkoiIiIiIWoFnBIiIaF9aW6GhfpZLCLFUtpiIiNop4A8hFAwDQKP1xLJUahG23f39ual9FFVg6IgPF2+k8dlnb26YzLCa5wFPPT+NFy/FMXTYB03nvr6XWLaFxeQ8vKVkVEVRoak6AEBAYCgy0nhM1ElCCgSjwXXD84l8z1V1HTgRgVQsLH7qNzZNZlitNncFib/9KMwBE6HJ8N4HuIVkJoXZxZVkBlVREdADjWQGn+HD8YmjTGYgIiIiItonmNBARET70kYVGpjMQETUObHYKBRFAwCoUoUi6n8vt54gWtYX1WB7Lv7uqze3Nd6Tz0+jWLbQN8iL373CdRzEE/NwnHorESkV6KsSniLhGHwsFU9dIhgNQirrT6P1WrsJxVRhxoLIfuWv4BYzTY9XW7yBwvkvIDAa7Giz4PnEAhbXVHTR4Nd8jc6CQX8QR8cOQ1O1DkVIREREREStxoQGIiLal7xVCQ0eExqIiDpuufXEMk01IZZ+jpQrReQL2U6FRl0mFNVw/moCtrO9Ru2e5+HFS3EEBjRI7vK7nue6WEzOw1qq0CKkAkPzNY7XQoE+9C9VdiHqBv1D/RsOz/dYQkNwJAS3UkT5xivbHrfw+lchdRW+aGAPIrs913UxvTCLdC7TGGZoOvya2UhmCAf7cWT0EBRFaXt8RERERES0d5jQQERE+5JY1WdZLN1C5Hk9VguWiGifuV3riWRyga0nCP6QAk2XePny1iXQN3L+WgJSEfCH1RZHRq3keR7iqQXUalUAgJASpmo2khl8ph+xgaFOhki0TmQism6Ya7sopAodiGbn/MMBlC5+BfC2lzQGAG4xg8rURfhH2pvQ4LgOpuZnUKgUIHQFQhHw6SZMdaWlxOBADJMjE0xiJyIiIiLah3iWh4iI9iUpV9+VIwG4cF0XnufxJBcRUQfFYqMolYtwHAuqVOEKDY5nNVpPjI5MdjpE6iDNkKhaDjL56o7GL1dsFIs1qDpz97uV53lIpBZRqZQB1JObTNUHIeufmaEZGI6ONhJSibqBr88Hf3h9+5PsYhae2ztJ00IKKLqGWmJqx9OwErfgjx1tYVS356lA0s7Bd7IfATUCIQRCoRAUx0NxoYDyQh7D/YOIhaNti4mIiIiIiNqLCQ1ERLQvKWsSGlZOiLueC0WwBCkRUacst56Ym78JoN56wrUceHBRrhSRy2fQHwp3NkjqHAk4zu4uDtZsFwp7TnStVCaBcrlYfyAAY1Uyg6ZqGI6NQQompFB3iU5ufLE8ObWzajKdsvxd82x7x9PwrBqEsvffUaFKGJMBLOST8LI1VC69BDuzCD9qyJsmzPEz6Dv9Jtz72ANQsh7SFxeA3sktISIiIiKibWBCAxER7UuKsrKLW12RwXXsNyQ7EBFRuy23nsgXMo3WE5ZdAgAkUwvwGT7ourHFVGg/8hxAV3d3oczQFdRK2y+lTnsvnUmiWMzXHwhAV32QS73uFalgJDYGVeFpCuo+0UPrExpcx0V6Jt2BaHbOdRwAgNTNLV65OambcG2nVSFtMg8F6iEfpqavIffi51FduAHpuQjAgis8VABYs5cQvfVluNlvQfidPwrVryH+jWkmNRARERER7UO87YGIiPal1S0n1iQ0uLzAQUTUDWKxUSiKBgBQpQpF6gDq5egX4jPcXh9Q1ZIDVZUYG9xZf/aBPhNBv4ZaeW8vttH2pbMp5AvZxmNd9TUSUBUhMRIbh6bqnQqPaFO+fh98fb51wzPzGThWj21rPMAqVmBMnNrxJIyJs7CLO6/wsBWhCNhR4NaNS0g+9Ueozl+H4rkIogYp6tkKuiJxLBaCX7rIPfcZzP3hf4Yv5kf0zrE9i4uIiIiIiDqHCQ1ERLQvyTVVGFZ2d46zdyffiIioecutJ5ZpigmxtL22rBoSyflOhUYdVC27qJRs3HtyaEfj33dqELWqg1K+xy4y7nPpTBL5fKbxWNPMRjKDhMRwbAwGq7JQl9q03cStZJsjaY3CfBH+4/dDatuv0qDFJqAPTqAwX9iDyOrJ5wkni2QuheyzfwG3UoQOB0HUsJyjbmoKjsZCMLWV33vV6YuI//X/ROhwBHr/zqtPEBERERFRd2JCA9E+4DXxb/8Qm/yj/W+zz37j9WDTlhO84xfA/t9u7Pf3R7RfBPwh9PVFAABCALrqh1janheKOeRyvVXKm1ojn7Rx6vAAQn5tW+MZmoI7j0WRTzJ5sZukM8k1lRk01YC6VJ1FQGAwNgLTWH/3+0HS3FHu1kc3zUynW385tSru5pdB80eLG7absF2kZ9N7Mr/b2/10yosFQEj4z7y5yXmuCJ57G6xCBbVsZdvjbhW3Zddwc/YWbMNGZfo1OMUsTNjwCbuxAgQNFcdioQ1bExUvfgW1xCxChwbQ7qP9Vq4HrVufWjmt1i2Hdv9Sa//2tVWfy+7e31rtXe+a0+5f7K2cXztjb+93vfn1vDWxd+P8mteJ+W01/621clvWqvm1W7vXu1Zq//Js33rQ2thbt7/qxnW4/fvQ7sGEBiIi2pc2aznhOFYnwiEiok0MRkdhGH4AgJQSqrpyYTORWkS1upOLJtTLCikLVtXB9zx2AprW3E9WVUp8z2PH4blAPlnb4wipWalMYm0yg2ZCXdVWYjAyhIC5s/YiRO3gD/vhC61PuEnPpeHavZko7dou8jM59D3wBPTR402PFzj7MPwn7kd+Krv1i7epVCnh+sxNuAagmAYqN15GABYMsVJtJxowcCQahCI3P3Wce/7TCIz3Qza57yAiIiIiot7AI3wiItqXVp8sF1hJbqhZ1U6EQ0REmxBCYGR4opGIpkoVilzehntYWJyB67J9wEHiesDCtTLCAQM/+O4z6A/pt319wK/h/e86iaGBABaulcDVpTukMgkUCrnGY10zG5UZAGAoMoygv68ToRE1bbN2E6mpVJsjaa3czQzKySJi3/JB+I7de/sXCwWhe9+J8MPfg9yNNMqJUktjyeQyuDU3BcdxoIYMeMUszOwsVFFPGBECGA/7MRb2r0lU30jhwpcgVRXGABOliIiIiIj2E3XrlxAREfUeRVGgqjpsu7amWkOtxjt9iYi6jabqGB6awNz8zfpjxYTrOvDgwHYsLCbmMDI00eEoqZ2smofZyyUMH/PhJ95zJ67NZPHi5ThuzRfgui6kFBiLBXDf6SGcmAjDqrmYu1KEVdm/5RV7STIdR7G4lMwgAF31NdqBCQgMRYcR8IU6GCFRczZqN+HYDtKz6Q5E01qpiwmMPXwYkcd+CPYD34rChS+jfO0FuJUiAEAJhhE49RD8px+GNP3IXE2gOJtv2fw9z8NCchHpXKYxzDQNhLQKaqK+LVelwGQkgKDRXAsit1yA5ziQmrL1i4mIiIiIqGcwoYGIiPYtXTdh2zUIISGEgOd5sFihgYioKwX8IYTDg8hk4vULoJoPVasIwEOpVEAmm0K4P9LpMKmNrJqHmYslBMIqRqIBvPexfgCA6wJyqdZguWAjfquCYsaCx1yGjvM8D6l0HMVSoT6AyQzUwwIDAZhBc93wzGwGrtOb7SbeyHNcQJWQvjD6H/x2hN/ynfBcFxACQgg4NQulhQKK8yk4Fbtl87UdGzMLcyhVVqo96KqGoC8IodTnY2oKDkUCMNTtJCcIQAp4LncIRERERET7CRMaiIho39J1E6VS/e5AIVR4ngXHcWDbFlS1ubt8iIiofaIDQ6hUiqhUShBCQld9qNn1ix2pdBymYcI0/R2OktrJA1DI2ChkbOiGgGZKSCnhei6siotaxcPtC5BTu3ieh2Q6jtJtkhmGoyPw+4IdjJKoeZu1m0hOJdscyd7zHBfz35iGHjIhNQl4gGM5qOUqQItzN6q1KqYWZmBZVn2AAHyaCV3R4FoO1HAEfaaOyQE/pNzeFl4ND0EICbfWuuQLIiIiIiLqPNnpAIiIiPaKofsaf69uO8EqDURE3UkIgZGhSahKPelMShWqNJae9bAQn4Xj8CLFQVWreihmHeTTFooZBzW2l+garusgnpy/fTJDbJTJDNQzpCIweGxw3XDHdpCZy7Q/oDZwbQ+VdBmlxSJK8SKqmdYnMxRKBdyYvdVIZhBCIKD5oS/t9yuJIiZPnMaZh9627WQGAAjd+y7Y5SoqqWJL4yYiIiIios5iQgMREe1bur5SInZ1QkOtVulEOERE1ARV1TA8NL7qsQEp6ttwx7GxsDgDj70FiLqGY9tYSMyhUinXB7whmUFC1pMZzEAHoyTanuihGDRjfUW39Ex637SbaCfP87CYimNqfgauW19+UkoE9QBUpb6Pl0JirH8IA1oQfQ88sf2ZKCr67vtmFKYy9fI+RERERES0bzChgYiI9i19VYUGgZWEhioTGoiIuprfF0R0YKjxWFf9WP7pUqmWEU/MdygyIlrNsmqYT8zCqtXqA4SAofqZzEA9b/TkyIbDF64stDmS3mfbNm7NTSGZSTWGaYqKoB5oVGHQVA3Hxo+gP9iP/K0M/Cfuh+/4fduaz8Db3g9p+pG/ldr6xURERERE1FOY0EBERPuWlBKqqi/9rWK5yXalwhKkvUxRAd0U0HRAsHE60b4VGRhCwB+qPxACuurD8oa8UMwik9l/PcypvQQARRVQdQGpcIeyXdVqBfPxWTh2vQ2MkBKm5oNcuttaEfVkBp/p72SYRNsWioUQGFifhFNMF5FP5DsQUe8qlIq4NnMDpVUVXEzNgF/3NY7j/YYPJ4+eQGigD1JXUJrLoTCdxvB7fx7mkbuamk//m78TA297H5KvzMKpsDUVEREREdF+o3Y6ACIior3k8wWRz6cghIAUGlzPgmXVYFlVaJqx9QSoK6gqEBtRMDgs4fOv5GM6jodU3MXCnINSgbVlifab4cFxTM1chWVbkFKBpvpg2SUAQCoTh6ppCAb6Ohwl9RrDL9EXMxAc0NYkxlUrDgpJC/mUBc/hPuV2yuUCEqkEPK9eOn45mQGivo9WpYLh2BgMncda1HtGT21cnWH+MqsDNcvzPCTSSSRWJR9KKeBTfY0WE4qhYvLMEZx7yx1QfSutAp1qDYXpHMqpCkZ/4D8i+9ynkf/G38JKza2bjzl5Fv0PfQcCZ96C1IU5FG6l9/7NERERERFR2zGhoUvNzs7ik5/8JJ5//nlcuXIF6XQatVoNwWAQk5OTuPvuu/Gud70LDz/8MEQHb0/9zu/8Trz++ustm97LL78Mw+BJLyJqHb+/D/l8veyooqhwXQsAUCoX0M+Ehp4wfljByLgCx3XxtVfnceFaEsWKBV2VGI8F8dZ7x3HnfT5kMw6uXbJhVTsdMRG1iqKoGB05jOnZ63BdB4pU4SkGbKf+RY8n5qCqGkzDt8WUiABVFxg85IMvqCKVreAfnp9HIlOG7bjwGypOTIRx9kgUA6MmsotVZOa5Q9lIvrC2QoqUCgzN1yibpKsaRmLjUFWebqDeo/t1RMYj64ZbFQuJm4kORNR7bNvGzOLsSlUGAKpUEdANCCEghED45CBOP3gHIn4D+ec+ifKtC/CqJQjdB9+hcwjd9y1Qgn2oZUsI3vVuhN/8HpSun0d19hI8qwppBOA/8QD0wQlU0wUsfO0GyousnkFEREREtF/xDEOXSSaT+KVf+iV85jOfgeM4657PZDLIZDI4f/48/vAP/xAnT57Ev/t3/w6PPPJI22Ot1Wq4du1a2+dLRLQdAf/KnbtS6gDqJ9bKpQL6+6IdioqadfS0imhM4pNfvoZnz8+hWlu7b7w6ncUXX5zBiYkw3v+uUzh7t4FLr9iolHlnLdF+YegmRocmMTN/AwCgKgY814XjWfA8D/ML0xgfPQxN0zsbKHU13ZQYOe5HtljDX33+KmYX17efuj6bwxdemMa9J4fw1nvHoKoCielKB6LtXslkAulMcrmLFxRFg64ajWQGU/dhODYCRaoAuC+m3jNyfBhCrr9pZPHaIjyX6/RWiuUSZhdnYS+fzxKAqRowVB0CHoQiMXb/YZw6exSlL/wBbl38CuCubRFRufkK0k//GQKn34zYt/4k7KqN1MVbCIxOwn/HUUhVwrUcVPM1JL50BbVseYNIiIiIiIhoP2FCQxd5/vnn8c//+T9HOt18ibzLly/jx3/8x/GP//E/xs///M9DSrn1SC1y5coVWJbVtvkRtUszp6n2e5fl/bQMFEWFYfhRrZagSBVCCHieh3KlAM/zdlXlptlTmr2yrLrN5FEFkajER/7yPF6/eft945XpDP6//+cb+OnvvRsn7wjgtRct2GyfS9SVdrJN9PuDGIqNYTExCwDQVB8824XrOXBdB3MLUxgfPQxF2enPG16k6lat2IcqqsDwUT8S2TI+8eRl1Cx309fWrHo1oESmhO96+wk4jof03NpKDc3F1Lvr1Ebvz3NdzM/HkUnnlp73oKo6NHW52pWHgBnAYHQEUki0+v23f5lvPa3uPL7rxvWuG2Pa+PMTisDQ8aF1wz3Xw8KVeXTDe2nlevfGaW087Wa+C/XXJDJJxFOJxrSkEPBpyy0mPAgAR998EifPHMbiH/0nWMmZzSfqOii+9gyq89cx9iP/BaHJMBa+dgvwVuZ3+7ibjb0ZrfvcWzW/5teD7lsGzejVz6WV3rie725a7dWq+fXyet7+7/rWWrsetHt/2M5l1dx7a/f8mtGd63krtfv4vBv3fa2yv9eDZvH3XO9p39Vvuq3nnnsOH/zgB7eVzLDaxz72Mfzn//yfWxvUFl577bW2zo+IaKf8/lDjbyk1AIDruqhUS50KibZgmAKjEyo+8Q+XtkxmWFau2vitv3wFLhyMTCh7HCERtVt/XwTh5co6AtBVP8TSzxnbtjC/MA3X3fxCNR1c/UM6LM/Fnz915bbJDKtdm83hyeenEB42oGjdeaqjXSzbwvT0FAqFQn2AADTVWJXMAPQHwxiKjS4lMxD1ptihGDRDWzc8NZ1ErVzrQES9wXZsTM1PN5IZAECVCoJGYCmZARAQOHb2BO586F4k/uz/c/tkhtXTTs9h/uP/BWYsBP9I39YjEBERERHRvsSzDV1gcXERH/rQh1Aqrb2wJqXEE088gV//9V/H3/zN3+Dv/u7v8LGPfQw/8AM/AL/fv246H//4x/FHf/RH7QqbCQ1E1DP8vpWTX4qyUpK8VGKf1W41NCqRK9Tw1VcXtjVevlTD0y/PIjoksYviG0TUpWLREQSWk9SEgK75sfyTplqrYDExC89jRjutkAIIRjR84/VFVGrrW/rdzstXkqhUbfRFD247k3KlhIX4DKq1+sVcIQR01QdVXVkmkf4oouFBiC69x4WoWSOnRjYcPnd5vs2R9I5ypYwbMzdRKK208TE0HQHD36iEp6kajk0cwbH7TqJ07SVUZy9vax61+esoXX4eocPhVoZOREREREQ9hC0nusB/+k//CYlEYs2wWCyGX/3VX8VDDz20Zvjhw4fx1re+FR/84AfxL//lv8T58+fXPP/Lv/zLePzxxzE6OrrncV+8eHHdsGeffRaRSGTP501EtB0+XxBCSHie26jQAADFYhbRyMYnLqlzhASiwwo+//WpHfUqfvb8LN790CEMxCRScd6tTbSfCCEwMjSJ6bnrqFbLEELCUH2o2iUAHkqlApKpBcSi3LZTXWBAg1QEXrma3Pa4ruvipSsJPHBqCJn56oEr/pjLZ5DJphqPpZTwB/3IK3nUy8cLDEaGEPTzrmnqfaHBEALhwLrhhVQBhQSToDeSzKQQT8eBpURCIQR8mgltVfunkD+EieExmH1++Ib6MP/Up3c0r9zzn8HoDz4ILWjALlRaEj8REREREfUOVmjosK9+9av4h3/4hzXD/H4/PvKRj6xLZlhtcnISv/u7v4szZ86sGV4ul/E//+f/3JNY3+iNCQ3j4+NMZiCiriSEaLSdkEI2khosq4ZyudDJ0GgD/oCArgm88Hp8R+Nn8jXcmM2hP8zDHKL9SEqJseFD0NT6tlxIBbrqazyfy2eQSu9s+0H7jy+kYmohj1LF2tH4r99MQdUkVPPg7FM810UytbgmmUHVNIRCIUhZXw6qVDASG2MyA+0bIyc3ToSbZ3WGdSzbws3ZW1hMxZdzGaBIBSEjsCaZYSQ6jCNjh6AqKnzRANxaFaUr39jRPMvXXoJTKcGMrU86ISIiIiKi/e/gnJXpUh/5yEfWDfvQhz6EO+64Y8txg8EgPvzhD69rP/HJT34Sc3NzLYtxI1NTU8jn196lcOedd+7pPImIdqMvFG38rapm4+9cPt2JcOg2VLVenrawi17F2VINCutQEe1bqqphbOQIlKUvupQqtFVJDZlsEulMYrPR6QCREjtOZgCAUqXepkJRD0Y7Bdu2MZ+YRbG0kvCpqTqC/kCjfLyh6hgbmoTPXN8GkagX+cN+RCej64ZbFQvJW9yXrJYt5HB9+gZKlXJjmKHqCOgrLSZURcXRsSMYHIg1XiM1BU65AHg7rZ7mwSnlITVlN+ETEREREVGPYkJDB01PT+OZZ55ZMywajeKHfuiHmp7G6OgofvRHf3TNMNu28Wd/9mctiXEzG7WbuOuuu/Z0nkREuxEI9EMuXfhSpNY44VYsZuG42+upTXtr+U4vKXZ+8UiRojEdItqfdN3A6PAkpKj/pFGkBlVZSVhLZxLIZLbfZoD2F89DY5+/E0sFCQ7EPqVarWA+PgOrtpRQKABdM6GqRuM1ob4+jA5PQlW1TaZC1Hsm7pzYcPjC1YUdtT/bjxzXwcziLGYX5+C49aQEKQUCug+mZmB5MxvwBXBi8hiC/rWVFDzPg5C7S0YQUgH4eRARERERHUhMaOigv/3bv4Xrrs1Of8973gNd17c1ne/7vu9bN+xTn/rUrmLbymuvvbZuGBMaiKibCSHQF4o0/laU+sl5z/NQKGQ6GBm9kWXVT1TGwju/83NowA9r5zfkElGP8JkBDA+tXIhSFX1NUkMqE19TNp8OHtf2EOkztn7hJsLB+riOvb8vouULWSwk5uA69SRPISVMzQ9FWUlcGBoawvjYeCOJiGg/CEaDiIyvb53p2A4WrrDdBAAUSkVcm7qOXGGlSqemqAjqAairSqINDQzi6NjhRkuo1ZyqDcUfhDB2dnwvNBNKsB9Ozd7R+ERERERE1Nt4JqKDnn766XXD3vGOd2x7OmNjYzh9+vSaYdeuXcPU1NSOY9vKq6++uuaxEIItJ4io6/X3rZQ9XU5oAIA82050lXLRQ7Ho4i13btzLeCuHR/owHPEjFd9pSVsi6iXBQB9G1iU1rGzjk+lFZHNMajioChkLQwN+xMK+rV+8gbtPDKJSsmFX9+c+xXUdJBLzSGeSjTIUUiowNV/jbmpFSExMTCIaXV+Sn6jXTd41ueHw+UvzsHbRrmY/cF0XC4kFTM1Pw15OdhKAXzfh132N6jeaquHo2BEMR4c2rYhTXsjD84DQXW/fUSzBOx8FhERpPr/1i4mIiIiIaN9hQkOHuK6L559/fs0wVVVxzz337Gh6999//7phzz333I6m1Yw3tpw4cuQIgsHgns2PiKgVdN2EYdTLnypShVw6UV+tllGtlm83KrVZYt7Bg2eG4TO2X5r2rfeOoZB3UMjtz4tPRLReKBjG8OB447GqGGuSGhKpRWRzTF47iMoFB9WKg3tPDW57XJ+h4tShARSS+/OO4Gq1grnFGZQqpcYwVdVhaD5gqQqDrmoYHZ7gbz3al/qG+tA/3L9uuF2zMfv6bAci6h6VagXXZ24glcs0hqlSQcgIQltVuSUc7MfJyePrWky8kWu7KM5k0ffAt+0onr4Hvw3F2Sxci60CiYiIiIgOIiY0dMjNmzdRqVTWDDt27BhM09xkjNs7d+7cumGvvPLKjqa1lUwmg7m5uTXD2G6CiHpFf9/K3YWry5JnsolOhEObiC+6EELgPY8e39Z4R8f7cP/pIcTnmcxAdND0hQYwFHtDUoNcndSwgFw+04HIqNPyCQt3HIthJHr7C25v9PYHJuC6Hgrp2h5F1jm5fAYLiTk4dj1ZQwgJQ/NDV836LdgA/KYfY0OT0NWdt+wg6mabVWeYe30OTu1gXjj3PA+JTBI3Zm+iZtW3fUIApmYgYPgbFRgUqeDQyAQmRyagKM0lIOdvpqHHxtD3wLduK6bQve+CMXQI+ZtMTCQiIiIiOqjUrV9Ce+HKlSvrhh09enTH0zt8+PC6YdevX9/x9G7ntddeWzdsOaHBtm089dRT+NKXvoQXX3wRCwsLKBQK6OvrQywWw9mzZ/H444/j0UcfRSCwvROKREStEAwOIJ6Yhue5UBQDwi7B8zwUChkMhAeh6ztLLNsrmgYoKuC6gFVrVIPe91wbuH7JxlvuHEGpYuNTT1/b8r0fHu3DP/muu5BJukxoIDqg+vsGAHhYTNTvrFVVA7AB260CAOLJej/0vlC4QxFSJ+QSFnwhFe997Dj+7MkrWEiVbvt6IYDH7p/AuSMRzF+tv1bVBQABx/EAp3d3xq5jI5GOo1JZqUwlpQJDNRstJgBgIDSAgf7YRpMg2hfCo2GEYqF1w62KhblLcxuMsf/VrBrm4vNrqrYoUsKv+SDlyv1QQX8QE0Nj0FRto8lsPv1cBemLC4h+80/ArVVQOP/UluME7ngbYk/8JDKXFlHLsKIeEREREdFBxYSGDpmZmVk3bHx8fINXNmdkZH2f8Y3m0QpvbDcBAKdPn8Zv//Zv43d/93cRj8fXPZ9MJpFMJvH666/jL//yLxEOh/HP/tk/ww/+4A9C1/U9iZOIaCOKoqCvL4psNg4hBFTVhGXVT46lM3EMD218p1Y76TowOCIRGxYwzZWTh7btIRl3sTjnolTsYIBtkk66uH7JxuMPTuDQSBBPPjeNizdT6xIbIv0m3nr3GB69dwKFrItrl/ZnaXCizuu+i7gbdeoO90UAz0M8Wb8gpakGYHuw3fqdpvHkPIQQCAXXlxlvje5bTs1pLu6Nu6N32taxx2+WMXTEh+9/12k8//oCXr6SQL64tvKCEMDRsT48eHYE44NBZBaq6IupGDnuX/O6WslGLmmhkLYAt3c+70qljER6Ea6zcue5purQFH2pKoMHRSoYjAzDb+4++bz5daWdy7C9n1crl0Erv3vNTauZZdWrcW9enWHmtRm4ttvy+TWnNdPayXqXTqdxY+YGHHclKdhQdZiq3qjKIIXEcHQIsXB03ZSalb0Sh1Alhr7zX8B39B7knvsUqrPrb/jRR46h/8EnELrnHchejSN7aWHV+2rl/qo167Do0n1/O5dBa6fVupja/dm0e7vRuvfXm+tBq6fVzvm1dv/YvvWgWe3/jFszv9b+1mnt8hQb/L2X82uN/R1TM9r/+7nd63krtftYuJ2681ix1zChoUMSifWlzYeGhnY8vVhs/d0zi4uLO57e7WxUoeHnf/7nsbCw0PQ0MpkMfumXfgl/8Rd/gQ9/+MMbJmQQEe2VyMAIstkEAA+q4oNtV7qiSoMQwKFjEsOjEuWKjafPz+PijRQqNRuaJjE5FMLb7hnHXff7kE47uP66C8vqSKhtk1h0Ua3aGJvswz/9nruQylVw4WoSxYoFTVUwMRTEqUNhVKse5qcczM84B6aKBRFtLtwfrZfNTtUrMmiquVSpoX4BezFRT3bYu6QG6jae62HxWgnhEQMPnBrCm+8YwY3ZHOKZMmzHhU9XcWIyjKBfQ6Vow7FshIcN1BKzyD9/Hk4pA8/zIHQ/zPFTiI2fQnTUQHKuikKyy1tSeB4yufSalitCCOiqCUVZOSVgGj4MRkagKTxNQPtbZCKCwMD6pJ1aqYaFq82f19gPLMvC1Nw00ol0I5lBSgGf6oOqKI0Twj7DxOTwBAx99y1oMhcXYOUq6D/+AMbv+iZU566jfPNluLUypO6DeehOmGPHUcsVkXhhCsWZzK7nSUREREREvY1nKjokmUyuG9bX17fj6QUCAaiqCtteuSu1VCrBsixo2vbKAG5lo4SG7SQzvHFa73//+/Hbv/3bOH369G5DIyJqiqpq6O+PdVWVBiGBk2clgiGBj3/+Ep5/bRG2s7ZtwvWZHL74wgxOHhrAD7z7FM7eo+PieQe1atvDbat81sXrWRc+v4PBERX3HBtZacNRBa5ctJFJukxkIKI1BsIxePCQTNWPUzdKanAcB+H+SCfDpDbyAKTnq8jMV+ELqxgc8GMk7IeQ9VZHtaKDeKKE2IQPVmoaqfNPwcmv79luLd5A4cIX4T9xP2InHoSqSWTmK21/P82wbRvJdBzV6htaTGgmhFipAhXuiyDcF4Ho0vtZiFpGbF6dYfrVaXg93FJmuzK5DJKX84Cy8r3XFRWmZjaqMgDA4EAMw5GhNcN2qzibRXE2C2PAj+ChMHyn3gGhSniOC6toYf6Zq6hu0R6IiIiIiIgODiY0dEihUFg3LBgM7mqafr8fuVxu3XwGBgZ2Nd3VarUarl+/vunzkUgE3/3d341HHnkEhw4dgqZpSCaTuHz5Mp566il8/vOfh7OqxClQryTx0z/90/jEJz6BSIQnlImoPbqtSsPRExKBEPD/+8SLmJrP3/a1l2+l8av/5xv4F++/D6fOGXj1ZQeuc9tR9oVyycOtawfgjRJRy0TCg4DnIZmuVy57Y1JDMr0Ix7ERjQxua7qqJmAGJKQi4HmAU/NQLjgsItgjPACljI1SZm2LIs2UGD/pR23+KnLPfwa3y5TzahUUX30GTjGH8D3vgG25XVepoVDIIZNLwV0uIS8ATdHrbViWqFJBLDICn+nfZCpE+0vscAz+Pt+64ZVCBfHr69tn7kc1q4a5+DxKlRKiwyNQFAVSSgR0E6qyckOMrumYHBpHwLd324dquoRqeiVxoVtbNxARERERUWcJz+P9jJ3wkz/5k3jqqafWDPvN3/xNPPbYYzue5lvf+tZ1rSy++MUvYnh4eMfTfKMLFy7gve9974bP/dAP/RD+zb/5N/D51p8cWHblyhX8+3//7/Hiiy+ue+6RRx7B7/zO77Qq1F2pVj147tavo/YwzHpZXM/zUO3Om9+oR01NTyG+1J6nXCmhVCwCAMLhMCYnD7UtDiEATRf47b9+BReurq/gs5mBkIH/14++CVLInkxo0PSV77bVXdeAqIN4b3DvU1d9t+0u+W4vLMyvacdWqVRQWXVQ0dfXj7Gxsa3vPhWAIjyI5btZbRtQZL3MjuvC9SRclz+vepUiAaeYRPqLf1wvA9SkwLm3wX/8Ptj21q9tB9u2EV9cQLG0cpFQSgm/3w91VTuJYDCI0dExKIqy5TRVXaz6XntgD1Dur1qvPevU2MQYVG39vT3JeBLFQnHP5tsN64vneUgkElhYXGjsq6Qm4fP54Pf74Vkrn0EsFsXE+ERT24f24/anG9Yn2o29X4elqTf2226lNQfkXO+o9bg9b5YAANNofK9R2eelWokOkk58t6WAMHbfSq7dWKGhQ2q19QeTu/2huNH4dovPqr366qvrhkkp8cu//Mt4z3ves+X4J06cwO/93u/hQx/6EJ588sk1zz3zzDN46qmndpXU0SqGwcP0biSEgLl5vgzRth05MopCIQnXdaEbfth2GZ7noVjKwrJLCATW99bdC57nYT5Z2lYyAwCk81V87dV5PHzXGHS1d7dbQgi0oB0vEXUZIQS0LvluTxwahaqLRlJDUPdBq0qUyyvb/dk5G5OTk5BSbjIVD4CAnV5A6eqLqM5faVz0lv4QfIfvgu/IXVC75U3TjpQufX1byQwAULryPPwn7oOqdX5fXCgUsLi4CNd1oWr1dVnXdfh8vkbCjhACQ0NDO6qOV/9ed/59Eu1EIBDYMJnBsixUrSpUY/+eIiuXy5iZmUGpVIJQJRTUz+WEQiHoul5/kQKoqorDhw8jHA53MlwiahEhBBQfj02J9hMhBOBrb1VZItp7/G5vbf/+Wutyb2y7AOxNQoO7zZNxW5mYmMD3f//3Y2pqClNTU5ibm8PP/uzPNpXMsMwwDPzKr/wK3vve9+LmzZtrnvu1X/u1rkhoYIWG7sIKDbR3VASD0UaVBk31o1istwS6fm0KJ0+eammv2M1oOvClF6Z3NO7TL83ibfeMw7J6b7vFCg20EV4m633dWKEBAKIDw/AcBXNzswAARejQNaBcKsEDkMsWca12ExMTk1DVtT+TFMUFHAvZr/41rNTcumm7pTyKrz2D4utfQeDMI/CfuB+OXU9Yo96gSAE4FVTnrm57XK9WRmXmEszRk7CdzmzFHMdBPL64prWhFBI+vw+aqsGx6lUVNE3D+Og4TJ8PVrX5AwdWaFiP+6tW29t1SlEUhEKhDZ/LprOwq3tbYqVT64vruliMxxGPL67pouMzTQQCAShLCR6e56E/0IfJpX2gXbY6FHEzuP3h9qfXsUIDUR23581ihQaifYwVGprGhIYO0TRt3bDdVlOwrPU/OBuZ9i3y8MMP4+GHH248dhxnR4kYwWAQP//zP4+f+ZmfWTP8woULuH79Oo4ePbrrWHfjheccpNMdDaHlevmHx2PvVGD6gGoFeOrvN6ur396D4O5cnlwGO1kGth3BjZtz8DwXgIpKVcB1bQAlTN2Yw0B4aNdR3W5ZhSMCp+9Q8cKlnfXsnU+WsJAqwynqmLqxfGGiNevCXn/G9z6kQTcAqwa8+DUL3bkOd+MP7NbF1I3f49bG1I3fha1j6sZlsJ1p3flQEJoB2DXgla8V1j3fyve3/WmZKBWiWIhPN5INXFeiapdQf39l3Hy9gNHhCWha/Th65LCBYMhF+kt/AqewxQGi66L46pcBx4L/9JsxfaWCSqFXegI19/m2e7vRqm31VtMZO+GDm7iMnWYHVqcvwRw/jekLOcBp7wX/UqWIVDoBd1XSvKJo0FUDOVEGUAYABP1BRMN9mEmWAJQ2nhg2XlbHHopCMwTsmodrX0uitduyVk2rmWXe3n1ody6D9i7P9m/zN47p1CMnN6zAU0wXceXJK5vMr73rVKuW5/JriuUS5hPzqK3KHFakhKn6YCsl5JHEyJsOw9/nx9jgKLLPLWD26rVtz6+V610rl3m79h/113TfelB/Xbu/x+3blrV2GTSj+9a7+us2nlb4nfdD8RlwKzVk/v4bbY2pd/dpzWn3Z9yMdq/nzWj/Z9ya+XXrb3EBwHznW+t3b1eqqPz903s+v9bY3zE1o/3n3dq9nrdSN57Da5XN35vyzscb323n75/c9HUtNTAA9a1vac+8Wmizeqq0x/YioWGjqg8bzaeVdlNV4p3vfCcmJibWDX/mmWd2ExIR0baoqoZoZLTxWNMCjSOfdHoRlrW3mZGKCriuh/Iu7gorFKtQe7jlBBFRO4WC/RgbOQwp68exUqowVT/E0k8jy65hdv4WqrUqNEMgNKAi/+Lnt05mWKX4+ldRS0wjMry3x+LUOlIV8KqbX+Tfilerj6so7dsfO66DRGoR8cRCI5lBCAld88HQfBCivk6rUsFwbBSDkZHGek90kIRHw4hORjd87vrz19sczd6zHRuzi3O4NXdrJZlBAIZqIKgHoK46jzM4GMO5c+fQ39/foWiJiIiIiIi2xoSGDvH7/euGlcvlXU2zVFp/As7o4rIhUso11R6WfeMbzWQOExG1Tjg8BF33AQAUqUJV6v2qPM9DPDG7p/P2PECI+r+dkopEj3WbICLqKL8viPHRI1CVesKBkCoMzQ+B+kUe27ExO3cTut+CUynuqA1B+eoL8IdUqAZ/cvUCz/OA3VzsX0oeaNcOuVQpYm5xBsXSShUURaowdX9jvQaAgC+IsZFD8JuB9gRG1GWkInD0/iMbPrd4bRGF5PpKQr0sW8jh2vR1ZAvZxjBFqgjpQZia0fjRoWs6jo0fxaHJQ7tuf0pERERERLTXeHatQ8Lh8LphxWJxx9NzHAeVSmXNMMMwEAh094mru+++e92wRCLRgUiI6CATQmB46FDjsab6IWT9ZF+5XEC+kNmzeduWByEEov2+HY0vBBDr98GqdWNrBCKi7mUaPkyMHW20lhBCgaH5IZeSGjzPRTo/jcXzz2BN4/Em1RZvwKkUEY6ySkMvcGxACYR3PL4SHKhPx9nbjAbbthFPLiCeWICzVOGvXpXBhKH7G1UZFCkxFB3BUHQECqsy0AE2dmYcZtBcN9yqWrj10q0ORLQ3qrUqbs1NYXZxtlG9UwgBn2YiaPgb7TYEBAYHYjg5eRwB3/obbYiIiIiIiLoRExo6JBKJrBuWTCZ3PL2Nxo3FYjueXrsMDAysG5ZKpToQCREddKYZQH9ffbsphICmBhvPJZOzcJzdtQXaTD4LVCou3nLn6NYv3sDZIxGEAhpScdZoICLaLk3TMTl2DIZRv9hVvzAcgCJUKKqAkAK3Xr+AeLZYv4N/OzwPVvwmdB9bAvWCYsaGMXoMQt9ZgqHvyF0oZmp72pI1X8hibnEapfJKIrwiVZiaD6qiN4b5TT/Ghg8h4AtuNBmiA8MMmhg/O7bhc7devgW7tjfH9+3kuA4Wkou4PnMDxVXbBk1RETIC0NVV2wbDhxOTxzASHW4kOBAREREREfUCtdMBHFTj4+Prhu2mMsFG4w4ODu54eu2yUesN2+79kwpE1Jui0XEUilk4jgVV0eEoGhzHguM4iMdnMDJyeM3rW3GJyvOAxIKHR+4axWefvQF7m3d2vu3eCaTTLirb7FrU/strW13hae0VIF4+7E6t/Vxas860O6ZuXAYHnaKoGB89gvmFKZTKxaWkNj+kVgUAeLaFdKWMqm1jNByCojR/Ecir1SC5QdpQKxdLc9O6/felkKohMmrAd/gOlC4/t635q/2DUMPDSFwpbDmfnbCsKpLpBGq1+jopUE++0VR9VSKDBykkIuFBhAJ9G06n+WW+0XvwVv3vtWSZL2vltFqlmZjaH3cr9zHdtw9t1fJcPZ2j9x+B3GCbnU/kkbi22MQ8u+/zW/2aTD6LeCoOeynxWqDe2tOnGlCV5dN99W3DcHQI0f4IhBCNWN44v43n37r1TjS1PNu7nvfq97i5Zdm6+bV7e97aZdCM7lvvuvP9dd960Oy0mtGN25b9/lt1v8+vGTtf73Y2/95e5s3ovt8MrdWNy7wZrdx/tFtvnnfrzmW5e0zJ7pDJycl1w27d2nm5w43GPXbs2I6n1y65XG7dsI3acRARtYOiKBgcnGg81rTg0kk/oFjKIZvbeSWd21mcd2HoCp545Mi2xrvzeBRnDocRn2N1BiKi3VCkgrGRwwgF+wHUK/WoillPvl26KFSqWriVyKJqNZ98K1QVbm/+/j1wPA/Ipyz4TjwA6e9vfkQpEbzz7bDKNiqF1iZmu66LTDaJucXZRjIDAKiKBlP3r6nKYBo+jA8f2jSZgeigiUxEEB4NrxvuuR6uP3+9/QG1ULlSxo2Zm5iLz60kMwjA0AyE9MCqZAYg5A/h5KETiIWjjd81REREREREvYYVGjrk9OnTEEKsKV179erVHU9vo3FPnDix4+ltxvM8ZLNZJJNJpNNpSClx//3373h6G7WX2KgNBRFRu4SCA8j5UyiVspBCQtOCqNXyAIBkcg6mGYChr+/DuxtWDbh+2cE7HpxEpWbjc1/dOsHt7JEIfuTbzmFx3kU6yatlRES7JYTAyNAEVEVFOpuEYwG6pqEvOohMMQUPApbjYCqRxXA4iJDP2HKaamQMxeqWL6MukZ6vwgz6EX7kvcg88+dwS9nbvl5IBaEHvw1qeASzl4u3fe12lSslpDJJ2LbVuLtCSglNMaGsulgphUCkfxChIBMZiJZJVeLwfYc3fG7+yjxKmVJP3rVkOzYSqQQy+cya4ZqiwlTNVW0kPGiKitHBEfQHt5GgRURERERE1KWY0NAhoVAIhw8fxo0bNxrDZmZmkEqlEIlEtj29l19+ed2wO++8czchrvOZz3wG//pf/+s1LSEOHTqEz33uczue5ksvvbRu2Llz53Y8PSKiVhgeOoSbU6/BdWyoig5XNWDbVXieh4WFWxgfPw5FKi2dZ2LRg1RsPPHwERwd7cdTL0zj8q003tiyfSTmx9vuHsfDd48iueji5lVWZyAiaqVYdAS6bmAxMYt82kHo+L2o3XoFFahwIOF6HubSeVQtG9GQf9M7XrXIKNRQBLm5bfYEoo7xXA8L18oYPuZD5O0/gNLVb6B88xV41bWfoZAKjPGT8J14ENLXj/lrJVgVpyUx2LaNTC6FYqmwaoYCmqJDU/T6bdhLgr4gBsKxNXdjExEwcccEDP/6pLNauYbpV6Y7ENHueJ6HdC6DRDoB113Z1ihSgbmmvQQgIBANRzA0MAhFae3vFSIiIiIiok7hmY8OevOb37wmoQEAnn32WXz7t3/7tqZTq9Xw9a9/fc0wn8+H++67b7chrnHo0KE1yQxAvdVFPB7H4ODgtqfnui6++tWvrhv+wAMP7DhGIqJWUFUNI0OHMTtXr36jqQG4rg3XdWBZVcTjMxgZPtTy+S7OeaiUbYxN9uOn3xtBIlPGazdSqFRt6JqCQyN9ODrWh1LJxc2rDhbnWJmBiGgv9IUGoGsG0plp9B2PQo+OAclZVKHCXuralyqUUbFsjA6EoMj1nfzMo/egWrJRLbXmQje1h2u7mLtSwsCIgdCJhxA4/RZUF67DKWQAz4U0fDBGT0BoBoqZGtKXS7Cru/+MPc9DvphDNpeG664kKypSga6akKsSKVVVRSw8BJ/p3/V8ifYbX58PI6dGNnzu5os34Vi9tU0ulktYSMyjatUA1PvhCiFgqAYMRVub5OQPYiw2AkPXN5kaERERERFRb1p/5o3a5u1vf/u6YZ/+9Ke3PZ0vfOELKBbXljh9y1veAr3FP2JPnDix4TQ/9alP7Wh6n/vc5zA/P79mWDgc3lULCyKiVgkE+hEODwGonzTUtVDjLtxiMYtsNrEn881lgIvnXZz/hgW7pOPuIyN4+I4J3HdiFCEtgNfOWzj/PJMZiIj2mmn6MRg+CuFoCN33LVB0EyZsGFi5GFaqWrgVz6JqrU36NcZPwRw/hfSi/cbJUi9wPaRnK7h1oYDEVBmufxLq2F3QJu4BIqeQTXqYeiWH+I3WJDOUKyXMLUwjnUk2khmkkDA0E6YeWJPMEA6FMTF8mMkMRBsRwLGHjq1qvbAiu5BF8layA0HtjGVbmFmYwa25W41kBgDQFQ0hIwBDXanYoms6Do9M4ujYYRj61u2QiIiIiIiIeg0rNHTQo48+inA4jEwm0xj25JNP4urVqzh+/HhT0/A8Dx/96EfXDX/f+97XqjAbDMPA448/jr/9279dM/z3f//38UM/9EPbSqCoVqv49V//9XXD3/e+98Ew+AOciLpDLDqOcrmAarUEKRVoWhC1Wh4AkEzNw9BN+HzBPZl3qQi2kyAi6jBV1SCq44gM+YC3vh+Zr/wltHIeEi4qUOFBwHIcTCWyGA4HEfIZMCfPInTvu5BZtFDIMKGhp3lAIWWhkLLWP9EClm0hk0miVCmtGa4qGjTVgBQrF2UNzUQsMghd428los2Mnx1HKBpaN9x1Xdz4xo32B7QDrusilU0hmUnB9VZ+C6hShamaUJWV7YIUEoMDMcTC0Q2TOIiIiIiIiPYL/uLpIF3X8d73vnfNMMdx8G//7b9FtVptahof+9jH8MILL6wZNjY2hscee6xVYa7xPd/zPeuGTU9P4zd+4ze2NZ3/+l//Ky5durRmmGma+MAHPrCr+IiIWkkIgdGRY5BLfWlVRYeq+gDUE8rmF26iWqt0MkQiItpjjgWUU1GMHD6L2Dt/FMF73gGjLwo/LCioX2xyIZBUB1A5+RgC97wT6UULidnmjufp4HFcF5lsCnML02uSGRSpwNT8MDRfI5lBCIFYeBBjwxNMZiC6jcBAABN3jG/43Pzr8yjnym2OaHs8z0M6l8bVqWuIpxONZAYpJPy6D0EjAFVZqdbSH+zDyUPHMRQZZDIDERERERHte6zQ0GEf/OAH8cd//McolVZOZL300kv4uZ/7Ofz3//7fb1ut4G/+5m/wK7/yK+uGf+hDH4Kq3v6jnZ6exjvf+c51w//bf/tv65IsVnv88cfxwAMP4Pnnn18z/H//7/+NwcFB/PAP//Bt5+s4Dv7Lf/kv+PjHP75h3KOjo7cdn4io3TRNx8jwEczOXqk/Vn1wXRuua8F1XczP38DY2DFoKnvVEhHtV7WKh+SUD4H+Q3AnFPiP3AW7mINTLaFSs+GoOoSiYSHn4NYXXkPYPwzDMDsdNnWhQrGATC4Fx3GwXOlBCglN1aEqa48l/L4gouEYVIU/24luRyoSJ95yYsML++V8GdMXpjsQVfNyhRwS6QRqq1pLQAgYig5D1ddUazF1A6OxUQT9gQ5ESkRERERE1BlM4+6waDSKn/3Zn103/HOf+xze//7347nnnlv33OLiIn7xF38RP/dzP9fosbrswQcfxHd913ftWbwA8Au/8Asbtpf4xV/8RXzoQx/C1atX1z3nui6eeeYZfO/3fi/+6I/+aN3z999/P37sx35sL8IlItq1gL8PkUg94UoIAUMPQcr6xQXbtjA/fxOOu/se2kRE1L1cByimNLjZcaSmBbJ5EyUnClcMoVLwYfZaFcm5GgrZMmbmbiKTTXU6ZOoilWoFc4szSKbjS8kM9WMKTdVh6oE1yQyaqmMkNo6h6AgUJjMQbenQ3ZPw9/nWDfdcD1e/chWu051t3IrlEm7M3MTs4uyaZAZN0RDSA/BpZiOZQUqJ0dgITkweZzIDEREREREdODw70gV+7Md+DM8++yy+8IUvrBn++uuv44d/+Idx5MgRnDx5En6/HzMzM3jppZdgWW/s41pPjvgf/+N/QAixp/GeOXMGv/zLv4x/9a/+1bqEis9+9rP47Gc/ixMnTuDEiRPw+/1IJpO4cOECEonEhtM7fPgw/tf/+l8sk0hEXS0aGUWtVkahkGkkNVRrWXiui1qtgoX5mxgdPbrn22AiIuosVdUwEDyEeHIOqVx6aaiECj88lOHChgcPyfQiyuUiBmOjW1ZPo/3Ltm1kcikUS8U1wxVFha7okHKlhLyUEgN9UYSC/e0Ok6hn9Q/3Y/TUxpUeZ16dQSFVaHNEW6vUqoin4iiW1samShWmaq5pLQEAA31hDEeHoSoqxFJlFyIiIiIiooOEZ9a6gBACv/qrv4qf+qmfwte+9rV1z9+4cQM3bty47TSi0Sh+53d+B8PDw3sU5VpPPPEEqtUqfuEXfgHV6vr+wFeuXMGVK1e2nM7Zs2fxW7/1W4hEInsRJhFRS40MH8WMcwXlch5CSBhaXz2pwfNQrhSxsDiFkeFDnQ6TiIj2mBACQ7ExGLoP8eQcPM+DlAp0LQDLqcBx68fHpUoR07PXMRgdQSAQ6nDU1E6O4yCXzyJfzMHzVi5ASimhK8a6yguhYD/CfREoUnnjpIhoE6qu4MRDxzd8rpAqYObVmTZHdHuWbSGeiiNXyK0ZrkgFhmpAV7Q1w/2mH6OxEfjM9dUniIiIiIiIDhLeEt8lAoEAPvrRj+If/aN/tO27ex988EF8/OMfx+nTp/couo1993d/N/70T/8UZ86c2fa4mqbhx3/8x/Hxj38cg4ODexAdEVHrCSEwOnIMul4/qSikAl0LAUub7WIxi0RitoMREhFRO/X3DeDQ+HEYhgmgvp/QVROGGoBY+qnluA7m4zOIJ+bXVTej/cd1PWTzGcwuTCFXyDaSGaQQ0FUDphZYk8xgmj6MDU8iGh5kMgPRNh194Bh0//p2mI7t4MpXrqxJJuok27GxkFjA1alra5IZhJTw6T4EjSC0VckMhm7g8OghHJs4ymQGIiIiIiIisEJDV9F1Hf/hP/wHvO9978NHP/pR/N3f/R0qlcqGrxVC4N5778UHPvABfNu3fVvH2jWcPn0af/mXf4mnnnoKf/AHf4Cvf/3rG1ZsWBaLxfDEE0/gR37kR3DoEO9ipu7EhgHdugy644SkoigYGz2O6ZlLsO0apKJBRwg1Kw94QDaXhJAS0cjIHsy9O5bB/tGNy7N1MXXn95i6096tdztdD1u7/m79/pqf3/pp6bqOybGjSKYXkc7UW6xJqcLQArDsChyv3iouV8jg/8/ef8dHkt/3nf+rYueAHCbtbJyN3OXmZViSkiiKyZJs2SfROpui9Pv5Z/vOvzvfWb+fg86Wf/adT3f2+WGf5fPZ0jnIsmVLJ0ukAmlKFMldkptzmt2diAw0Gp27K/3+aAwGGIRpYBqNxsz7+VgsMF31rfrUt6oL6KpPfb6NZq1d2WE1AaJ3utkHvdWt8ur7vX1RBJVqiZVykSAIuNTnhmFgWw6O5WIYlz+z2bbNYG6YZCLdlfV3tn29/b13Le+rvbm+j/Ne7+Pev/d21wdDx4cYPj605XwXXj5Hs1y/yrr3/7gLw5DCSoHCyjJhGKy9bhomru0Ss9wND7S4ts3o4Cj5TG719a2WvZ+/0zYvu5NldX6s9PY479ayeh1TZ/3Zj33QvWV1d2iV/oup99vX3+fza1lOpw7vuaVTWt9hPqa6pT/7vJsOx+fCzQ7zdb7D2ued6r/rwv3bV/1BCQ196NSpU/zCL/wCf+fv/B1eeeUVzpw5w/LyMmEYks1mmZiY4P7772dgYGDP6zh69Chvv/12V+I1DIOPf/zjfPzjH6fVavHKK69w8eJFisUitVqNRCLB2NgYt912G7feeqvGlxeRQ89xXCYnbmFq6h2CMMCyXBxSeK32+NjF4gJRGDI8PHnAkYqISC8YhsHw4BjJRJq5hSl838MwTFwniR+08IIGENHyWkzNnGMgP0w+N6i/i68T1VqVYqmA7/trrxmGgWXaOHYM01iffG6Qzw2Sz+z9s9y1MkzIDMfJjMZw4hambRD4IV41YGWuQbXQOrDYRDrhJlxOPnhyy2nFmSJz7871OKKNoiiiWC6yuLxEEGw8L8QsF9d2N5wXLMtiJD/MUG7gwB5WERERERER6WdKaOhjruvy0EMP8dBDDx10KB07jDGLiOxFLJZgYvxmpqbfJSLCtuLggOe1kxpWSktERIwMHzngSEVEpFeSiRTHj97C/MI0lWq7rLhtuZiGhec3CPGJiCgUF6jVKgwPjR1AtQbplnqjTrFUoNXamABgWTaO5W4aQiKdzDCQG9ow5ESvDR1PkptIYDkmr727yNnZMi0vIO7a3HligFvuztOo+yxfqFGa27paoMhBu+WRW7Ddze8jv+nz/jPvHkBEbWEYslJZYalYwPe9yxMMA9d0iDsbE5wMw2AoP8RIfhjLsrr81LaIiIiIiMj1QwkNIiIie5RMZhgfv4mZ2TMA2HYcDAOvVQGgVCoQhSEjI0f1FK6IyA3CMi0mxo5RKheZX5wmiiJM01qt1tDED9vDszVadaZmzpHLDTKQG9JTuYdIs9WkWFqm0ahveN00LRwrtnpj8rJkPEU+N4jrxHob6DqGCRN3ZEkMxPj6s+d4+tUZSpWNiRhff/Y8o4NJnnzgCE/cN0ksYbFwtnpAEYtsbfy2cXLjuS2nvf/c+3gNb8tp+ykMQ4rlFZaKGysyANiWQ9yOYW9IcDIYyOYYHRzFsZ3eBisiIiIiInIIKaFBRETkGmTSA0RjEXNz51YrNcTABc+rQATlSpEIGFVSg4jIDSWbyROPJ5mbv0ijWccwDBw7jhU6eH6dkICIiOLKEtVqmeGhMZKJ1EGHLTtotpqUSkVqjY03+U3TXE1k2PjxOubGGcgNE++DKhxjt6WJ5Rz+ya+/xJmp0rbzzRdq/Ievn+b9qRW+8KlTBEFE4UKth5GKbC+ZT3L8vuNbTls4u0DhYqGn486GYchyaZnCyhJBEGyYZps2cTuOZW2s1JJJZRgfGiPmHlyCk4iIiFwHLAsj7oJpgudDswWRqj2JyPVLCQ0iIiLXKJtpj4M+O3t2LanBwKDllSGCSqVIFIaMjR1XUoOIyA3EdVyOTp6ksLxAobgAtJ/ijzkp/LCFHzSJiPD8FjNzF0insgwPjh7okASy2eVEho039k3TwLZi2NbGJ6wdO8ZQfpBEvD8SVNLDLtmROL/4G6/umMyw3vNvzZOKO/zIx2+lstjc5whFrs5yLG7/0O2Y9uZqNs1ak7MvnO1ZLEEYUCwVKawUtq3IcOWQM8l4kvHhMZLxZM/iFBERkeuQaeA8cA/WxAjGur83wnqN4PwMwfmpdnKDiMh1RlfKREREuiCTHsCcMJmeeZ+ICMtyccmsJTVUayVmZs8yNnZ80wVOERG5fhmGwdDgKMlkivmFaVpeq12twYphGTZe0CCI2jfEKtUS9XqVocFRMumtS6pL7zSaDUrlIvUrhpYwDAPbcrEtl/V5irZlk88OkU5levqU+NXkxuO8dXaZ0+eXd9XuWy9P8bGHjpKfSOxTZCKdu/XRW4mnt6528t733iPwgi2ndVMQBiyvLFNYKRCG4YZp2yUyxGNxxgZHyaYy+x6fiIiIXMcMgyjwMWIxAqNC4Sv/kdb8WSLfw4ynSN32MJkHfgD7tpvwz1wkePP0QUcsItJVSmgQERHpklQqx+TkLczMvE8YhViWS4wMzdWkhnq9wtTUe0yMn8A5wHG0RUSk9xLxFMeO3MJycZHllUWIona1BrNdrcHzm0SEBGHA/OIM5coKI0PjOI570KHfcLZNZDDBNtsVGdYnMpimRT47SDadw1hLZeiPcq9u0iI9EONb33hn122jCL790jSfeuwmCPtje+TGdOTOSQaPDGw5bebtGUrznVUe2Ss/8FleWWa5tLwxkcEAx3SIbZHIkIglGB0cIaNEBhEREblGRiYNjkVr8SILX/7fac2+v2me5sW3Wf7mvyd938cY/uSXMBMxvBdf1zAUInLdUEKDiIhIF6WSWY5M3srU9LuEUYhpucTI0vLKRFGE5zW5OP0e46PHSSTSBx2uiIj0kGmaDA2Okk3nmFucprE6hIFtuliOTctvEEQeAPVGjQtTZxjID5HPDWnIoh5oNBuslJdpNBobXt8ukcHAIJcZIJsZwDI3l8HvB+lBl0rN461zhT21f+aNWT73kZvxvfDqM4vsg9xYjmP3HttyWmmhxPmXz+/buv3Ap7CyzPLKMlF0ZSKDS8x2N733E7EEo0OjZJL6O19ERES6IObiPnwfzel3mfnVv03kNbadNQo8yi9+DW9xiomf+Dnsu27Df333ic0iIv1ICQ0iIiJdlkikOXLkNqan3yUIA0zLIWbkaHplojAgDAKmZ88yMjRJNjt40OGKiEiPuW6MY5MnKZYKLBXmCMMQwzCJOUmC0MfzG4QEREQUiotUqiUGB0ZJ6QbZvmg0G6yUlmk0NycyOFYMy9ycyJDN5MlmBrD7fBgp27VYLjf2/GBWpebh+SH9ma4h1zs36XLb47dumdDVqrc4/fRpon146rDltSisFFgpl3ZIZLj03m+vP5VIMTIwQjqZ6no8IiIicuOybz5BGDSZ/bX/ccdkhvUaF95g4Xd+kdHP/9cEZy8SVWv7HKWIyP5TQoOIiMg+SMRTHJm8jemZ9/ADD8O0iLtZmq0KYehBFLGwOEXLazI0OK4nb0VEbkD57CDpZIaFpVkq1XbJdMu0MZ0UXtAkCJtEtG+uzc5fJBFPMjQ4RszVsEXdUGvUKJdXNiUymKaBbbmbExkMi2w6RzaT7/tEhg2u9X5vFAH6O0V6yzAN7vjQ7TgxZ9O0KIw4/Z3TeA2vq+us1qssryxTqVWuCAZcy8W13E1DSyiRQURERPaNaWIdHaf4nV8nbFSuPv86lde+xeDHvoB14gj+G6f3KUARkd5RQoOIiMg+iceTHD92iumZ92g0a2CYxNwMnl/D99s3T1ZWFvG8JqOjxzZdIBURkeufbTtMjB2jUi2xsDSL73sYhoFrxwlCG99vEuAD7WEoLk6fIZPKMTgwgm3r49xuRVFEtVahXFmh5W28GdpOZIhhmfamRIZcOk9mLZHh8IxD6/sh2ay75/Yx18JxLA05IT138oM3kR7cuirNuZfPUV4od2U9URRRqpYprBRoXpHchGHgWu2KDKaxsU5JOtlOZEglkl2JQ0RERORK1uQYhm1Tfunru28chZSe/z0GPvQn8N96D0L9PS8ih5uugImIiOwj23Y4euR25ubPUq4UwTBwnBSGaeF5VYigViszNfUeY2PHibnxgw65rx3u50MPzw2wvejevuleP/U6pn7sg27qz/dft/qq18fd5vWlUxkSiSSFwjzFUgEAy7Sw3CRB6OH5TULaF6HK1RUqtTL57CD53ACmufOAAL3ed3vtg72v7+rLCsKQSrVEuVIiCIIN07ZPZDDJpdtDS1hrfRx1LfZO98u19Get0GTkRIqTR7KcmSp1uMbLHrpzjCCIiMLLyzforM+7ey67+rK6eZx36xjurJ/68z3T2XI6sfs+GDk5wtgtY1vOt3R+kbl3ZnZYd2frC8KAYqlIYWWZIPA3xmKaxCwHx3LWJTK0l5tJphkZHCEZT26Keyfdes/sV59vt+xuvte7977qTG/7vDO9j6k7y+rWOaPzZR3O/dJeVif2vz+Ndd+71VfdPA76cx93qrfn6k5oH3e2vk508/zajfWZgwM0LrxFUC3uafmVN7/D4Me/gJFNExVLXO/XNnp/zaLXx3m39Po46Kb+vF52Nf13vjuc/aiEBhERkX1mmiYT4zfjLk2ztDwLgG3FMTFpeRWiKMLzmkxNvcvw0CTZ7OABRywiIgfBMi1GhifIpHPMLU7TajVXX3cwHRs/9PCDJhERURSyvLJIqbLM0MAI6VRWwxdtwfd9ypV2AkgYbvzQbpoWjuVgWRs/FhuGST4zQCadX5fIcDg1Kj61ssdHPnBkTwkNH7n/COWFBqmBvVd5ENmN5ECSkw+e3HJavVTj/Wffu6blt7wWyyvLFMsrRNHGJxUt08K1XRzTWT2fXj5nZFIZRgdGSMQT17R+ERERkU4ZjkVQWN5z+7C2sroc+5DevhQRuUwJDSIiIj0yNDSJ48aZmztHRIRpucSMHE2vTBQGRFHEwuIUtXqFkZEjGoJCROQGFY8nOX7kFkrlIkvL8wSBj2EYOJaLbdp4QYsgbBEBQRAwvzhLcaXA8OAYCZU/B9o3LUvlFWr1CtEVV+8sy8I2XSxr4+9Z07TJZfJkUrlDn8iw3spMnftuG2Fy5DzTC9WO291/xwhjg0nOvVhQQoP0hOVa3P7E7ZjW5vdf4AW88+13CP29lUuuNWoUigUqtc3jT9uWQ8xysa9MbsIgn80xlBsiHlMVNREREemtKIwwLGfvC7j0t02odAYROfyU0CAiItJD2cwgjhNjeua99g0q0yLu5vD8Kr7ffhK3Wl2h2aozNnKMeFw3pkREbkSGYZDLDpBOZykWl1heWSKKQgzDxLXjhKGLFzQIonap9JbXYnruAslEiqGBEVw3dsBbcDAajTorlSKNRmPjBANsy8Y2Y5jmxkoWlmmTzQysJjJcf1UuyvMNMiNx/tyP3Mc/+g8vs7Bcu2qb247l+cInT7E8U6dZ8a86v0g33ProrcTTWycOvPfMezTK9V0tL4oiStUyhZUCzeaV5wQD13JxLWdTErFlWQxmBxnM5XHsa7iJICIiInItmi2c4aN7bu4OHQEgaja7FZGIyIFRQoOIiEiPJeIpjh89xczs+zSaNTAMHCeNabp4q0NQ+F6LqZn3GRoYI58fOeiQRUTkgFimxdDgKNlsnqXCAuVKEWgPZxQzkwShj+83CGg/tVyrV6nVq6RTGQZyQzdEYkMYRtRqFcq1Eq1Wa8M0wwDbcrEslytzFRw7Ri4zQDqVwVgb1fL6e3opimDmrRWO3J3nv/kv7uc3v/k+L741jxdsftI9EbN54r5JfuiJm6gtNfDqPsfvz2HbEVEYYtsRE6cyFGcbNIqtLdYmsjdH7z7KwOTAltOm35qmcLHQ8diznu9RLBUpllcIgisScgyTmO3gWi6msbESRMxxGcoPk8/kME2T6/F8ICIiIodHMD1L7OZHiB29g+bFt3fdPvPAJwmKRaLK1ROaRUT6nRIaREREDoDjuBw7egcLixcpriwArN5sydPyyoShD1HEUmGWWr3C2OixTaWxRUTkxuHYLuOjR8jnBllcmqPeaA8dYJkWlpsiCD08v0m4egOuUi1TqZZJJzMM5IeIXYeJDZ7vUamUqNZKhFeUUTVNA8t0sS0H44q7oPFYklxmkOQNVAUp9CMuvlpk5OY0f+r7b+eHn7yF7742w/nZMi0vIB6zOXVigAduH4UIWlWP9KBLesCm9v6LrCzNEIU+VixJ/MQ9HLv3GK1qi8VzVapLSmyQazN8Ypij92z99GFpvsT5V85fdRlRFFGpVVguLVOrbx5axTQtXNvFMR0Mw9iQHJFOphjKD5NJpve6CSIiIiJdFxVLBMtFsg/+EAu7TGgwk1nSdz2B//o7+xSdiEhvKaFBRETkgBiGwejIMZKJDHML51eHoDCJuVk8v47vt8vq1usVzl98h+GhCTLp/MEGLSIiByoeS3B08iYq1RKLhTk8r10+1DIdTMfGDz38oLn2XHGlVqZaK5NKphnIDRG7DsaBrzdqlCsl6o32k0brb0yapoljuZimvSGRwcAgmciQy+SJuYe/D/YiCiPm3y2zdL5CbizB43dN8LEPHsUwDKIoolHxWb5QJTPsEnNDVp75HWrvvkDkbSzVX37lD3GGJknf+zEm7vwAi2cqFKf01JfsTXYkyy0P37zltFa9xenvnN6xUMLmagzrZjbANtvVGGxr4+UvA8hl8gznh4hfB+dFERERuT6F56ZI3/cElZf/gPrZVzpsZTD8yS+BHxBMze5rfCIivaKEBhERkQOWTueJxZLMzp2l3qisDkGRxDJtWqtDUIRBwPz8BSqVIsPDkzi2e9Bhi4jIAUqnsqSSGVZKSxSKCwRBgGEYOJaLbTqbEhuqtQrVWuXQJjYEYUi1VqZSKeH53saJBlimjW06m6oZGZik01ny6QFs2+lhxP0raEUULtQoXGgnIZiWQRhEGCYcuzeHbbdY/tav4y3PEl3Z16u8pWmWv/Fv8ZamGHn4MwReSHm+seW8ItuJZ+Lc8eHbMS1z07QojDj99Gm8xuZj8FI1hmJ5hWqtsmm6YZq4ltNObrpiWAnLshjMDjKUG8DROUFERET6XHBxBmNkkLEf+1lmf+1/pHHutZ0bGCbDP/jTpO58HO+Zl2GLYeZERA4jJTSIiIj0AcdxOXrkNgqFGZaW29nTpuUSN/O0vCpB0C7nXKuVuXjxXQYHx8hlhw4yZBEROWCGYZDPDZHJ5CksL1AsFSCKNiQ2BNskNiQTKQbyQ8RjiQPdhqtpeS0q1RLVapkw2viYtmEaOKaLZTmYVwwrYZk22XSedDqHbWrIpp2EQUQy5zByc5pYysYwYgx9/59tT6tXqJ5+lupb3yWoLG9qW3n1jzDjGcbu+jDVQpPQ3+FRepF17JjNnR89he1ufVnqzPNnKC+WN7y2uRrDOgbYpr1lNQaAmOMylB8mn8lhmibGpjlERERE+pP/8hvEfuCjTPzEz1F64WuUXvg9vIULG2cybVJ3PELu0c8RG7sZ74XXCBcLBxOwiMg+UEKDiIhInzAMg6GhSRKJDLNzZ/EDDwwT180QBC08r0IUhYRhwOLiNJVKkZHho7jX4bjoIiLSOcu0GBkaZyA3xHJxkZVykSgKMQwDey2xwccLmkSrqQ21epVavUoinmQgP0QinjzgrbgsiiLqjRqVygqN5uan/i3TwrZcTNPCMAyMdSXmXSdONpUjlcpsejJbNnPiJpOnMsQzMbzFixRffBpv8SKh72PF4sSP3UnyjkdJ3/sxau88Q/Hp34Qo2LCM8ktfI33qcbJjCQ09IR0xLYNTH7mDeHrrSjFTb04x//480D4fVOtVlkvL1K5ajWFjmoIBZNJZBrMDpJPprm+HiIiISE+EEfgBhuOQvf/7yD30KRoX3qI5d4bIb2El0iRveQgzmSGYW6D1neeJVspXX66IyCGihAYREZE+k0xmOHH8Tubmz1GprgBgWS7WWrWG9njpjUaNC1OnGRwYI58bxjD0rJmIyI3Mth1GhicYyA+zvLLESml5XWKDg2XamxIb6o0a9dka8ViCXHaAVDJ9YL9PPK+1WkGiTBBsvGmOAbblYJsupmleMckgmciQzeSJu4drKI2D5CYsjt2XJaouMf9bv4a3eHHD9KAMrcWLlF76OsmbP0D+iR/FSg+w9LVfhvDy/om8JtV3nyN/4kElNEhHbn30VjJDmS2nLZ1f4sIrF2i0GpQqJUqVEr7frsawdmZarcbgWC7OFtUYXMdhIDtAPpPXsBIiIiJyffECWs+9in10AuemR8A0wA+IZgo0z78KdQ0DJyLXJyU0iIiI9CHLspmcuIVyZZn5hQvtsrqGgeumCYMYLb9CFIYQRRQKs1SrKwwPTRLvoydsRUTkYNi2w8jQOIOXEhtWClsmNvhBk3A1saHRrNNYqGNbNtlMnmwmh7XFjcJuC8OQer1KpVamuUU1BtM0sU0Xy7I3JVq0h5XIkUlltywxL9szbYOjd2cJV2ZZ/L1/RuQ1t585Cqm99yJecY6RT/85Bj78Yyx/899tmKX+7rOk73wcJ2nh1YJtFiQCJz5wnKFjWw+bVloo8exXn6VYKm5ZnWXnagwGmVSGwZyqMYiIiMj1LVwsaDgJEbnh6KqPiBwyN+q4vN3b7v58hr//9mvv+2nrPsik8yQTaRYWpyiVlwAwLYe4mcfza/hBAyJoNutMTb9HOp1naHAMx3YPNO6D169xXbteH5vdXV8/nsuuHlO/9kG31tefx1Q/Hiu9j/1a959t2YwMjjGYG6K4UqBYKhCGwcbEhsjH9y8nNviBT6G4yPLKEulUllx2gNi6oY261QetVpNqrUy1ViEMw00bZZs2lulgW9am5cbcBNlMnlQijdHxHu50v3Rn/3USVefHZvdjGjySxDR85r/2SzsnM6zjLU1T+MavMvQDX6Ty+rfwlqbWpvmVIgCWY+Lh7zKy3p2nutnnRlfj7tY+7vW5c3d9MHrLKJOnJrecr1Is8zu/8mWa9ebGdgbYho1jb12NwbEdBnOXqzF0dx9fXed93q3jpXvH3ZWxb70tvT3Ob7Q+3+v6OtW9/uwspt72Zz/G1M1l9ev29XJ93eyDTpbT27/hO9H74+7wrq8Th/lz6Oa4NsfZL9cxd+uwxg2HN/b+vDcA/Xgt97Du4+uVEhpERET6nGXZjI+dIJMZYH7+PJ7fAsPAcVJYVoyWVyFaLf1cqRSpVUvkc8Pk8yObynKLiMiNx7JshgZHyecGNyc2GA626+CHPn7gEUbtm9FRFFGurFCurJCIJ8hlBkhe43AUYRiuDSnRam2+id6uxuBgWc669bQ/0BuYpFMZMuk8MSe2qa3sggG5MZfaW98ibFR31bRx4U285TlSdz5O8dv/8fKEKFpbtshW8uN5Tn7w5JbTGvUGX/v3X11LZgAwTQvXcrAtZ4tqDKxWYxhUNQYREREREZEbgBIaREREDolUMsuJ43exuDRFcWUBANO0ibs5/KCJ79eJopAoClkuzlMqFxgamiCTzh9s4CIi0hfWEhvyqxUbVpYIVxPibNPGNm3CMMQPWwSht/ZsQL1Rp95oD0eRzw6QyeSwTGv7FV2h0ahTqZWp16tE0RVPHBiX1u1iWpuXadsumVSOTCqHpSS9rkgPxbBcm+pb391T++pbT5N7+LOUnvkyYas9LICVzAIQeuFOTeUGlcwnue2J2zDMzRkvgR/wB//xDygVShimiWM6uJazZVKuYzsMZPMMZAdwbKcXoYuIiIiIiEgfUEKDiIjIIWKaJqMjx8hkBpmbO0fLa4BhYNtxbCuG59cIVoehCAKf+fkLrKwsMTw0QTyePOjwRUSkD1imxdDACPncIOVykWKpgOe1gPbvGdeME0UxgtDDD1obhqNYWl6gUFwkk86RzeQ3DEexnud71FarMfj+5iEILNPCWh324sqqDwYGyUSaTCpHMp7o8tZLIufgLU4TVIt7al8/+yr5x38EZ+gYzZnT7WXe8iBe3aNV3e1wE3K9i6yI2z50G5azdRLUU7/zFMuzy6TcFNYWSU2m0a7OMpDJk06mrqlKjIiIiIiIiBxOSmgQERE5hBLxFCeO38lycY5CYZYwCteGoXCsOC2vRhi2b041mzWmpt8jnc4zODiGY7sHHL2IiPQDy7TI54bIZQep1SsUVwrU6hWA9nAUlottuavDUbQIo3Y1hyiKKJWLlMpFYm6cTDpLOpXBwKBSr1DbZkgJDNrLNLd++tq1Y6TTWdLJ7LoKEBpDstss2yBolPfc/tIwFWYsDoBh2aTueITCdKMr8cnh12g2KFfLNLwGn/ixj5NIb52Y9Oq3X2XhvQUSTmLT2OWpRIp8Jk82lV2X6KDzgYiIiIiIyI1ICQ0iIiKHlGEYDA6Mk80MsVSYZqW01H7dtIjFMgSBh+dXiVbLiVcqRSrVFTLpPAMDo0psEBERoP37JJXMkEpmaLWaFEsFSuUiUdQePmD9cBTBpuEoahRLBRqNOqZlkkqkiMcSG56iXl+NgSuerjYxSaUyZFJZYq6qMfRCFLaTEPbKWE02iYJ2NYb0PR/FsGOUZktdiU8OnyiKqDfrVKoVytUSnu9j2RY/8GPfz/DE8JZtzr1+jtPPnd5wroi7cfKZPLlMTkNKiIiIiIiIyBolNIiIiBxytu0wNnqCXHaEhcWLNBrtp2sty8E0cwRBE8+vt+9gRBHl8jLlSpFsZoB8fkSJDSIissZ1Y4wOTzA0OEqptEyxVMD3PaA9HIVpxrHDGNVGiUqtRKNRJYouPzVdr1UxTZN0Okc2nScR37pEfNxNkE5lSSUzmMbmag2yf/xWSGpodM/t7Vy7bVgvk7ztIbIPfoqF98sEXtitEOUQiKKIWr1KqVqiUqsQBMHaNMM0+PiPfIyJmya2bDt/YZ4Xvv4CAI7tkM/kyaezxFerfoiIiIiIiIisp4QGERGR60Q8nuTY0dupVJZZXJzC81vtkuF2HMuK4ft1/KABUQRRRKlUoFReJpsZYCA/iq0n4UREZJVlWgzkh8nnhqjWyhRXChRLBer1CtVahWC1+o+BDUZIFAUYpoFpWFimTbPZZKE5h+vEVqs/pHEdl3QySzqdJWbHDngLb1ylhQZDx4eIHbmd5tQ7u26fuuNR/PISiVseIH33RyhcqFCcqu5DpNJvwjCkUqusfYVhsGkewzT42Oef5Nitx7ZcRrlQ5rnfeY58Ok8unSOdTLfbaTgJERERERER2YYSGkRERK4zmfQAqWSO4so8hcIsYRRiGAaOk8S2E9smNuQyg+TzI0psEBGRNS2vSbPZwA98DMMgDEPC6PKT+KZpYRkxTNPGNA3CKCDEX5vueS0a9RoGBomBFK4Tw7FUGeggebWA2nKD1F0f2nVCg+HESN72EFg28VsfY+70CqXZ+j5FKv3AD3yqtSrlaplqfWNFlksMAyzTxrEcHv3BR7jpzpu2XFaz1uTMU2e4eeJmTFOVWURERERERKQzSmgQERG5DpmmyeDAONnMEEuFaUqlAhHRjokNK6WltYoNufywhqIQEblBNZp1qtUy5WoJz2uuve46LoMDI+TzQ7SaTRqNBr7nw7oRJUzDIoocHNchHnNx3fjajctqrUy1VsYyLVLJNOlkpj3khG5s9lxxtsHEqVPET9xN49zrHbfLPfp5MC3mT5cozdfRQ/XXnyiKaDQb1OpVKrUKjWZjy/kMA2zTwbFsbNMGw+C+J+/j5D0nt5zfb/nMPDtD3IhvOGeIiIiIiIiIXI0SGkRERK5jtu0wNnqCgYFxCoVZyuWdExuiKGSltMRKuUA6lSOfGyYWSxz0ZuyaYUIsbmBZBkEQ0WpFhP7V24mI3KgazTqVaolKtYTntbacxzQtXDuGbTqQbCcheH6LSrVMpVrCNAxSySzpVHqt2k8YBvhBCy9oEa1WdgjCgHJlhXJlBcMwSCbSZFJZUsk0lqWPqL1QWWyxMltn8GNfoPAH/5rGhTd3bmAY5B75LMnbHmLmjSLVQnPn+eVQ8XyPaq1Ktd7+CsNwy5wD0wDbcrBNB9u0NiQm3PXYndz2wK1bLj/wAqa+N0WrvPW5RURERERERGQnulokIiJyA3CdGONjJxgcbCc2lMpLAFckNtTwg+ZaxYZKpUilUiQeT5HPD5NKZg94K64unjIYmzAZHjEx7ctP/EZhxNJiwPx0SLUc7rAEEZEbR6NRo7yaxOD73pbzWKaNbblYloNpbK6kkIglGRs+Qi6dJwhDVsoFypXi2rAUpmnhmglcJ4EfePhBiyD02r9raD8Nfqlyg2EYJGJJ0uks6WRGQyDts/n3KhhGhsHv/7PU3n2B2ptP0Vq8uHEmwyRx4m7S9z6JM3yM0I+oFnRT+rALw5B6o051tQpDa5skJmhX/bJNG8d0sCzriqnt9/Gph+7gzsfu3HpdQcj0s9M0V5QEIyIiIiIiInujhAYREZEbyFpiw8AYS4VZypUCcCmxIbWa2NBYTWxo34xqNKrMzlZxnBi53BCZ9EDflQc3Lbj5dpOBYQevvEz5+W/TnD5N6DUxHBd39Cayd36I4fvHKRc93n07wNf9GBG5AdUbtbVKDFsmMRhgGTsnMZiGSSadI5sZIJVIYxiXH9NOJdMEw5NUqiuslJep1itr02zLwbYciCKC0CcIPfzAW6vcEEURtUaVWqPKPDPEYwkyqQzpVBbX0TBIXRfB3Oky9bLHwMS9jNz2IK3FKbyli0R+C9NNEDt6CjOeIgpCDMMgDJUUeFg1W421Kgz1Rp0w2nq8kPZQEjaOZWMZ9rZ/87mOSzaV4eS9N3H8weNbzhOFEdPPTVMv1Lu2HSIiIiIiInLjUUKDyHVAQ5B2Tn0lcHiPg27G7bpxJsZvYqg1fkVig7lWsSEIGvhBgygMAPC8BouLUxSW58hlBslmB7v69Gxn27f54rtlw6l7bGKOx+LX/jXNC29tmsdfnqP29vdwR0+Qf/InuOu+DG++GuA1uzX4d3eW0+tj87C+Fzp39f3S3T7o9WDyvd6+q7tyfVuvv3v9ZPT8vdfbc0Y39l8YhtTqFaq1CtVamSDYYvwdA2zDxrZdLNPB2CKJwcAgncqSSWfJpHJX3OTcuD22ZZHPDpLPDtLympTKRVbKhctPgRsGjtW+YYqTIAh8/NAjCL0NN8ybzTrNZp3FwjwxN0YqmSaZSBOPJXZc/9Z61+edL6fXMW29vvJsnfJsnXjOITc6iD06iGlCGMDKYsDK7CJH7xvEXLt60On7oHvb163+7OZ7vZv7eD/O5y2vRb1Rp7Y6jIQfBBuWZaz7h2WY7YQjw16rwnD5eLkcW9yNk0llyKayJOIJMpNpxh+Y2HqLooiZF6apL1R7uv86/73Q233cSVwHc5xHW/y8u2X1b593Mk93fn/067mlu/uvE/13nHdv+7r3Xu9sOZ3qvz7vzOF9X3Wie33Vzb8V+28fd6qX+6/310j2to/3Hmdvr1n0Y3/273Wwwxp7r6+DdU+vz9VXb394+7JXlNAgIiJyA9s+scHAtuPYdpwg8PD9OmHYfpI3DHyWi/MsryyQSeXJZAdIxFMHtg23nrKI2Q0WfvsfE5QLO87bmj/H4m/9Q4Y//Re4464BXn/FJwp2bCIicuh4vrc6jEOFer26VgFhAwMsw8G2HSxz+0oMqWSGTDpHOpldvdG5uw/ZrhNjeHCM4cExavUq5eoKleoKnne5/Lxl2ViWDSQIwwB/tXJDGF4+QTdbTZqtJoXiUntoiniSVCJNIpEkHovvKibZWmPFo7HioQsph1Oz1aDWqFOr16g3ahsSGK5kmkY7icmysUxryyQmaJ8DkokkmWSGTCqzoVJKajTF+P0TGyq0rDf70iyV2UqfXngVERERERGRw0QJDSIiIrKW2DDsTVJcmWeltEQYtp/itSwHy3IIQx/fbxCEzdWHuCLKlWXKlWUcJ0Y2M0AmM7B6U6o3coMm2QGHhd/6xasmM1wSNmssffX/ZOyP/xWGRy0WZpTRICKHX6NZp1otU62XaTYbW8+0lsTgYpv2ljcxTcMkncqQSedJJ7NdHWIomUiRTKQYG56k2axRrqxQrq7QbF2O1zQtXNPCteOEYYgftjYlN0RRRK1epVavAmBZZnvZ8RTJZBqni9WDRPpRFEXUm3XqjTr1Ro1ao77jcCCGAZZhtaswmDbWDu/ruBsnnUyTSaZIxpNbngMSQwkmHpzAMLdOV5h/bY7yVGn3GyYiIiIiIiKyBSU0iIiIyBrHcRkZPsrgwASl0gLFlQU8v10i3DRtXDdNFCXx/fZwFKyOv+x5TZYKsywtz5FOtcdVTyTS+x7v6IRBY/o9WosXd9UuqBapvf8iY0fuZ2Fmn4ITEdlHYRhSb1SpVMvbDyVBeyghy3RWn8R2tnya2jBMsqksmXSeVDLT1SSG7cRjCeKxBCND47S8JuVKiXKlSL1ZW5vHNE1cM95ObogigtAjCHyCyCMKL1cRCIJgtX37BqrjOCQTaVKJFIlECsu09n17RPZTEAY0Gw1qjRq1Ro1ms0EYbV9J41ICg2XZ2Ia1WoVh6+QDyzRJJ9OkkxnS6xKCtiubHs/HOfLwEUxr6/PE4lsLFM8Wd7eBIiIiIiIiIjtQQoOIiIhsYlkWAwNj5POjlCvLLBfnaa7eZDIME8dJYttJgrCJ7zeIVqs5EEVUKkUqlSK245LNDJJJ57H34WlZN26QG7Ap/MFTe2pfffNpRm9/mHQuorKy/VONIiL9oqOhJGhXObAsB9t0sMytP/KZpkU6mVlLYtjpie395joxhgZGGBoYwfc9ytUVytUStVqFaPWmqmkYmJaLY7VL3reHpvDbSQ6hv5ZgB+B5HiveMiulZeBS8kScRDxJPJ5QBQfpa1EU0Ww1aTQbNFoNGs06jWZzx6EbDMPANi0ssz2EhGWY2yYwACTjydUkhjSJWGLHedeL5+McefQIpr31+aLw7hKFdzurmCUiIiIiIiLSKSU0iIiIyLYMwyCbGSSbGaRer7BcnKdSLa5OA9uKYVsxojDAD5r4QRNWb7D5XotCYZbC8hzJRIZsdoBkItPxRfOrSWdNiCIa51/fU3tvaQqvUiKTTVBZ6UpIIiJddakKQ7VWoVav4nnNrWdcG0rCwTIdzC2GkgCwLJt0KksmlSOV7N75uJts22EgN8xAbhg/8KlUS1SqJar1yoZhJy4NTQExoigiDAOCyG8PTxEFGxIc2jeEaxRL7RuttmW3kxziCRLxJDE33pOqFCJXupy8UG9/tRo0W012KL4AtKuX2IaFZVlYhr2uCsnWDR3bIbWawJBOpLGt3VctiQ/EOfro0W2TGYpniyy+tbjr5YqIiIiIiIhcjRIaREREpCOJRJpEIk3La1IsLlAqL63dXDJMC8dsV20Iwxa+3yAMvXbDKKJWK1GrlTBXb6alUzlg8JrisS0IvSZXveq/g6hZxbKT1xSHiEg3NZp16vV2EkOjWdv2HNfJUBIAsViCdDJLJpUlHj9c5zvbsslnB8lnB4miiHqjRq1eoVIr02jU1qo3GIaBZdlY2Lh2nCiKCNZVb1ifCAG0EyVqZSq18lp7140RjyVIrH65bqzn2yvXtzAM28kLrQbN1eoL7eSFq/8dY5kW9uqXZdrbJi1dEnPjJONJkokkyXgS13GvKfbEUKI9zMQ2yQyliyXmX5u7pnWIiIiIiIiIbEcJDSIiIrIrrhNjdOQow0OTVKpFSqUlavVLN4XAslwsy92yakMY+JRKBUqlAm++OcvI6ACpZB7Y/ZOCYQTGNqXUO2ba15IPISJyzTzfo16vUqtXqNUrBMHlm+8bUhQMA9OwsC13taz8pfPfxpOYYZgkE2nSqQyZVG5fhvw5CIZhkEykSCZSDA+OEQQB9UaVSq1MtVamta56hWEY2JaDbbW3PYxCotBfTXIICKNgw3AdURTRbLZvMpdoD1NhWRbxWIKYG1/9iuE4bl9WtZD+4/kerVaTltek2WpSb9Zpea0OkxdMTMNaHTrCwjRNTMPcYcgJg2Q8sZa8kIwnsfZQgWE7yeEkkw9PYlpbJzNUZsvMvjzTtfWJiIiIiIiIXEkJDSIiIrInpmmuDUfR8pqUSouslJYIAh+4smqDRxA0CcLW2tPGvu+zuLjITGuBcxcMsqk86XS+46divVaE6biYySxhrbTr+A3Lxk7n8ZaU0SAivROEAfV6pV2FYadhJGifRy3TxjYdLNPGuMpQEulkllQyc0MMn2BZ1mrFnywQ4fselVqZWr1KtVbGX/1dBLRvBq9LcABWExt8gsAniIJNVRyCIKBaq1CtVS6/aBjE3BiuE2t/d2PE3DjOdZI0IrsTRREtr7X61aTVaq39O1g7nrb/G8MwaCcurCYtWKtJDFdLmllL7oknScWTJOLJde/57v5NkxpNMfHgxI7JDNPPT3d7tSIiIiIiIiIbKKFBRERErpnrxBgeOsLQYLtqw0ppidpqkkG7aoODZTlEEQRhk8BvbWjvey0KxXkKxfl2efRUjnQqi+Nsn9ywUgzxWgHpOx6l9OLXdh1z4uYHMCybwuL2NxNFRK5VEPjUG7V2FYZGlVaryXZ3/9rDSNiYZnsYCdvc/inrS0NJpFNpEvHUPkV/eNi2szY8BbSH7qhdqnzRqBKuS3CAdgl/CwvHav+eiaKIMFxNblhNclhfxWF1prVKDuV1L5umuS7JoV3NIe7GsCx93L4ehGG4KWmh2Wrg+V5HFRfgyuQFa4vkhe2X49gOiXiCVLydxBCPxXtSKSQ1lmLywUkMc+t1lafLzLyoZAYRERERERHZf7rCIiIiIl1jGAaZ9ACZ9ACe12KltEiptIQfeKvTwbZi2FaMwUEHDI9yqQF4a8toNus0m3WWCrO4ToxUKksymSEeS7Lh+n0Ii3MRo6eeoPTS19eGtehU6q4PU1gM8L2rzysi0qkg8KnVq9QbVeqN2moCw9aM1WEkLMvBMhzMHZ7OtiyLVCJDKtn+ujyUhO4mbiUeSxCPJRjMDwPgeY12YkmjRqNRp9GsE63rO8MwsCwHG2ftU3IQBkRRQBCFhKsVHcIo4sqxisIwpNFsL3NtebT3mWO7OI6Lbdu4tottOziOi2M7aPSK/hCGIZ7v4fsenu/j+x4tv4nv+2uv74ZpmpiY7cQF08DC2vG9vd6l5IV4LEEiFiceS2CvJsb08nBJj6eZ/OD4tskMpYslZl+e1elHREREREREekIJDSIiIrIvHMdleGiS4aFJarUylUqRcnX58pAUhkksHscgRjzuEgQtgqBJGF5+irblNWkVF1guLmBZNqlkhmQyQzKRxjRN5mcDxo8kyT74KUrP/U7HsSVPPY47NMHcS62rzywisgPf99aSF2r12o5DSACrNzntta/thpEwMEjEk6SSGdLJDPF4cj/Cv2G4TnuoiFxmAGjfxG62Gu3kk2aNRqOGd8WNa8u0AGvDh+YoigijsD1cRRgShQEBAVG4OakuCAKCYGOiw4blW9ZacsPal7Oa9GA7PXkK/0bgB/5ackLge3i+h+d5eEE7WSEIgi1aXeVOvQGWYbWrqhiryQuGiWFYGxJVdtqDruMSX01aSMRiG5IXDlJmMs3E/dsnM6ycX2HulbkeRyUiIiIiIiI3soP/tCwiO7r+L2N257Gew91P13sf9O7RrcPcB72PvbeP1F16ong0Okq1VqJcXsY062txmIaJacdx7Hi75HfoEQQtwshfexI2CDxK5QKlcgHTMEkkUqSSWU6/lef2+z4GgdfR0BPJ2x4m//gPM3XOo1q+WlWH7vVTr/dxPx5T3Y2pl+vr7DiwbXBiJqZlEAQRXiNky/tkXVpffx5TV8a+t/eQ0fP3Xufra7WaNJr11af9q3jelYlRG5/6N4zNCQzbxeQ6sbXzZSKewtowbv02w1R0HPnOutvnnSyrt+u7sp8s0yQZT5Jclyji+R6NRntokPqlKg5XVP8xDLAMEwsXZ/2IIFFEEAaEhIShTxi2KzvsVD0oCHyCwKexVbyGgW3ZWFZ7aALLsjb+2149pqzVaTsMT7IuyA7m6WS+qKvnn92+R4MwWE0WCVZ/9gmCgDAM8H3/8vTQx/evHDpkd8ddu4qK2a6kYra/m4aJaW7/Pt4q7kvJC4lYcq3ygmVd3mfdOk91ul+2e89kjmQYv39822Sa4rki869eTmbo5vl1L+/jvS6nrVv92b3f2d06d3b+/ty4rK3Wf733eT/G1M3fob0+t/SyP/sxpm4uq5vbd/33gdbX633ciV6vrxP92ed7Xd/+9l1vrzUc3utuhzf2w1tmrdfv48Oqf++RXBslNIiIiEjPGIZBOpUjncpx330uzVaJmeklDObXSn+bq+PHO3aCKAoJwla7ekPorSU3hFFItVamWiszvzjFzHSa2+++h/iTE0TvP0fz4pubSoK7E7eSvutDJE7czfQFn+nze7rTLLJJKmsxPGGTH7Yx1z3R6vsRxQWfxVmPemV3Q6JIfwjCYG14gmazRqNZ3+Zp7rb1CQy2eWkIia0rMMDGYSSSiTSO414xx/X7AbsfObaDk86RSeeAdjUGz2/RbDZotBo0Ww1arSatVnPDcBUAGAaWZWMBWC5r+y6KCKOIMAqIiAjD9g32MAqJopAo2noft9ftrVaNuPpxYBnmWnJDO9HBbt+ANy0M08Ay25UDTNPCNAwM08QyTcBo35xfvXHfPob32oNbi6KoXdkivLzdYRit9kMEa69fmudSP0XrkhfalRT8MNj0+/2SXYdttKtFmRjt76tfl6ouGIa5q74waFenirmx1a84sdV/m+b254F+kT2WZey+sW2TGZbPLLPw+nyPoxIRERERERFRQoOIiIgcENM0GRgYIBHPc/HkOJXqMuXKMrVaeW0ewzCxrTi2FV+90eGtJTisf+JyeqpCsVRjZMQgO/EQ8aMPESvPkXBNkqkMzuhJnNwQlRWP0296FBeVzCDXznYNbjoVI5OzuThf4fe//j5np0u0PJ+4a3PbsTwfuf8opx5IUlzyOP9Ok8C/+nLl4LRaTeqNduJCo1mj1dp5+Ij2TWAL03SwV5OxdroBalkWyUSaVCJNIp4iHkt0eQukmwzDWBuqIkPu8oQoorkuwWEt2WFTtQ7AMDANA5PVG9rrCikYXLrZv+5G/4afIyLCjvJawigk9MNNw2bshWFcSs65fDDXMovYjonvhUyfK3SUPHApkWG7pI219XUU1R6Se1a3waSdnGCaq9UWaH9nh4SFnWIyDRPXjZFwY7hujJjTTmBwHXeLZIDDkZSUO55j7L6xbacX3iuw+OZCDyMSERERERERuUwJDSIiInLgLMsilx0ilx0iCHyqtRKV6grV6srajRDDMLAsF8tywYEw9PGDFmHYIgx9auWQc2Vw3QYDwxax+CCmF2HVbeziCo2aB2ESx77yCWiR3XNiBrfeG6fSbPEvfvVVzs2WrpijxexSjW+9NM0dJwb4wqfu5JZ74rz/WgNfSQ19YX31hUajSqNZIwx3rqRhGCaWaWOaFpZxKYFh+xuYtmWTTKRJJFIkE2libry9nG5vjPSUYRjEY4lNCSlhGK4mOjRptuq0vCae16LltQi3GXriUlUPk+2HjIjWVXOIaCdAtL9H7eWuvd55AsROtkpCCHwfw7QI/HbFhJ4fwwYYtBMQDEzMdtbFuoQFA4N28silqihbVxrorHNMw2xX7HAcHDtGzHVXkxbaiQvtkA5HssLV5G/KM3rP6LbTC+8usfjWYg8jEhEREREREdlICQ0iIiLSVyzLJpsZJJsZJIoiavUylcoK1doK/ronT03TxjVtIEkYBYShRxh4eJ7H3PT6O8YB0ASWgPYY9YlEmkQiTTyWwLadXm6eXAcMC26+K85Kvck/+rWXqNZ3fiL67XPL/INffZ7/95/6IDfdGefd1xqH5aHd64ZhBtgpH89v0GjUqVUbrBRq+K1LO2KLHbJ6Y9Qy7XYSg2FjmdvfdAawbYdkPLmWxHApgUFuDKZpkognScSTQH7DND/w8TwPz2/ieR4tr4Xvt/C8Fp7vbZvwAJeTHnay/tZ9GEWwlgABl/5/KfGh/V+4+r197F+ad3UJXPmeuDScRWSxOlRFp4zV2IzVpIPVVy4lGxgG5tprXJ53dZ52kgLsWPpkiz64Gsuy2wkLa18uruNeTmKwboxLJQO3DDBy58i205feWWTpnaUeRiQiIiIiIiKy2Y3xKV1EREQOJcMwSCWzpJJZ4BiNRq1duaG2QrNZX5vPNCxMywKrffMwDH2C1QSHIPI2jLfd8pq0vCYrpfYFesdxicdSJOJJYvGkbkDKVQ2NOjhxg//j371y1WSGS5ZLTf7Zf3qV/+4LD5IbtFhZ0rAn+8X3vfZT8s0GhtsinvGJpSK8KKLu+UQWZEZs8uNJqqWAlUWPeslfLUl/teoLG9m2szZ8RDKZxnViKFtFtmJbNrZlk+ByVYf1R5fne/i+167q4LcTHoLAx/d9gtAnCHyCsLPzRrt6weYEiM5v+G8+hgfyAzhxG6/hsxLzu1yhoZP3TOeVFdrJFza2ZWGZ9mqVBedywoLtYO4qKeP6NHL3CAMnB7advvj2IoXTSmYQERERERGRg6eEBhERETk04vEk8XiS4aEJPK9FtbZCtVqiVi9vKI9tro5lj51oP3Ua+vih167iEPkbEhw8r/2EbLmyvNrWaic3xJIk4glisaRufMgGQ+M2L7w1x3K5uat2U/MV3jm3zNh4WgkNXeL5LZrNdvJCs1Wn2WzgB+0KLcNHXAZGXeYKNV56ZoG3zhXw/fZT8KZpcOuxIR65Z4JT949SKUbMvNsk2uGeqWEYJGLJ1Sfw20lQqvAi3XLpRnu7usOVLldR8H0PPwhWkxwCfN8jCIPLyQ+riQ9+4BN2mADRrwwMLGu1SopltRMUrPbPlmm1k0TsdgUV22r/++q/r5VwZJgGE/ePk5nMbDvPwpsLLL9X6GFUIiIiIiIiIttTQoOIiIgcSo7jks+NkM+NEEUR9XqFWr1CrVai0aytzWcYBobl4FrtG49RFBKGfju5IfQJI39DMkQYBlRrZaq18mp7cN048Vj7JmYsFsdxYr3dWOkb6ZxFMm3x7Vem99T+Wy9P8aXP30Ms4dGsb19iXjYKwoBWq0Gz1aTVatBqtWh5DYJg6xu2o8djpPM2X3nqDG+dLRBiEmISYRFGJlFg8MrZCq+cPc3txxb5qc/dzfE7Lc6/WVtLamjfXE4RXx1CIB5Ltp98FzkghmHgOC7OFnk02x2ZYRgShEH7d1/Q/t7+d0QYhoRRSHTpe3Tpd2Sw9u9LBgYHceM2rYZPIe11VKHBMNoxm6aFaZiYZnsYl/bP5uo0E2t1eBfTXP1aN/2yqyci6N15daZtMvnQBKnhrRJn2uZfn6d4pti7oERERERERESuQgkNIiIicugZhkEymSGZzMDQBEEQUK+X1xIcWl5z3bwmluViWy7A6k2ddmJDGHoEoU+0bizzKGLtCfCVUvtpRdM0iblxXDdOLJYgFkvgOrGrlqeXwy+VsVgpN7k4V9lT+9fPFAjCiFTGPLQJDbYLg2MuibSJaUEYgteMWJ7zqFeu7YnwMAzbJfdbDZqtxmryQnOt6sLVGIbB0HicsSNpfvVr7/DmuSoROw8j886FZX7xN17lZ//ME+RSIyxdMFR9Qa4bl5IEAAyn0+oEm+c7edMR3IRNq+7TfM/tavKAoaoJPWG5FkcfnSSe2/qcGEUR86/Os3J+pceRiYiIiIiIiOxMCQ0iIiJy3bEsi3Q6TzqdB9rDStTqZWq1MvV6ecPNUcMwsCwHCwdWxza/lOAQBN5qosPGm7RhGFJv1Kg3LleCMA3jcoLD6nfXjSvJ4Tpj2Qa1hrfn9lEY0Wj6WPbhOy4SaZORoy75YZtGM+DtC8vUGz6uY3J8LMvtD6SolDyMDkZoCcMQz29drrbQatD0Gnheu287ucFpGAaGYWOZFqZpYRk2pmVy/LY0T782zRvnSmz1zLaBgWm7WE4My45hO3GKoct33g34qc/dzAuVZQJPN1hF5PrhJB2OPjqJm3K3nB4GIbMvzlKZ3VuynoiIiIiIiMh+UkKDiIiIXPccxyXnDJHLDgHQajVo1Cs0mjXq9cqGCg4ApmljYmNb7aEl1oapWE1uaH/f+HR9GEU0mnUazfraa5eGq3CdODE3tvqzi227SnQ4pMIowrY7uGO/A9syiQ7Z2Pa5IZvjd8SZK1T53a++x0tvL+AFG98DtxzN8ZH7j/CB29rDwERRRKvVXE1cWPfda3VccQEuJS5Yq2XrV79Ma8v3UHbQwY1ZPPVye0gQA2MtceHSd3Ob999/fvY8f+YzdzFyNMbsmcYue0hEpD/FsjGOPjqJHdv68k/gBUw/O029UN9yuoiIiIiIiMhBU0KDiIiI3HBcN07MjZNb/XcQ+NQbVeqNKo16hXqjumH+S8NUWFx+svFykkOwLtlh4w3e9cNVrH/m0TQMHDeG68RwnEuJDjEcR4kO/c5vRgxPxHAdk5a3+yEjcmmXmGvhtVr7EN3+yAxY3HRnnO++Nst/+IPTROHG6gVB4BP6LV5/p8Srb7zPHScyfOqRo7SaHucuVrdZ6hYMsAwLw7CwTBPTsDFNE6OTkg+AaZgcvXmAuRWPOlkygyPbJi9spd70+fpz5/noPUeV0CAi14XkUIIjD09ibpOI5zd8Ln7vIq3y4fmdJCIiIiIiIjceJTSIHKDr+5bV/pRqPlx91r0+6M/t7m057sPcB72PvXf7pvNt2yqmaHUJ0TbT966zuC6v07Is0qks6VS2PSWK1qo3NFYTHYIrnii/nORweX1RFBKEAVHkE4Q+URRsGq4C2k/5X0p02LhMcGwX142vJjrEcGwXx3GxLHsX29apfjxP9fp9tbs+KC76TN7s8uCpMb7z6syu1/bEvZO0WiGl4vYVCro7Nv21MW2YuNnmOy+d59/+/mv4vk8YbPyKoo2JHS+/uUKzXuMzHzpJKmtRK218DxgG7YoLhrlaacFqJzKYnVe+sC2HWCxO3E0QjyXaQ7w4Me65P8+v/eHbuInsnrb39feX+KHHb9qh3zoYCqOjNXXzOL+eY+rmsvpv+zoZWqWb67uWPjDWfTe6GlOnyzr4Ptg8TyfLOrjjLj2RZuKBCQxz66W3Ki2mvncBv+5vs/7r/Tjvv2PqoPt8q3Z6X/VrH3Sq18dUt5bV6/V1spzerq+7x1Qn8/Tfcdf7z6r99zn0cH/2P5zXGg7z9bvDGvthjRsO97XqXurXc1k/6s9jqn8ooUFERETkCoZhkIinSMRTa6+1vCbNZo1Gs06zWaPZrG+Z5GBbJuDgrL4WRRFhFKwlN6z9HAWb/g6PImh5LVre5iclTcPAdlzc1QQHx3Fx7PbwFbbtYO7iZrDsne9HFBd9PnL/kV0nNFiWweP3TVKY84l2X9xh3/i+h+e3Vr977SEhfA/f90gNRHhvW/zL33iVRqvzYSLeOlvgA7eNMnokw3TNwzBNLCwM02I3RUgsyyZ2adiWWLuySsxNYFkWsPnDnm0b1Budx3mlesPHMAxMCw7ZqCAiImvyN+UZuXtk2wo1jeU6U89MEXo60YmIiIiIiEj/U0KDiIiISAdcpz1ERCY9sPaa73s0mjVazTqNZo1ms4bvexvaGYaBZdiADdbl1zckOqwmO2yX6ADtqg6tVhOv1dwyPsuycZx2coNjO9i2g2U52JaNZdvYlqPhLLpkccbnjvtTfPSBI3zzxamO233miZOk4jbnZ3cxDMM1CAK//eX7+IGHv/az305YCDyCwCeKts9wHx+M8+bZwrbJDBEGESbh6nPbYdT+dwQ8/26Fn/5jN1GeK9OshxtaXck0TGJuYi1p4dKwMLbtbJp3J74fkYjv/SNOIm6335u6xycih9TQHUMM3Ta07fTqfJWZ56eIguv76SYRERERERG5fiihQURERGSPbNshbecwUrm114LAX01uqK9997wWm8r6rk90WBMRRRFRFK5LdgiJwoCIkDAKt62udunm9U4sy8a27fZ3y8G27dWEh3biQzsJQn8eXk2tHDB9pskPP3kLfhDx9CvTV23zqcdP8PGHjnH27Tqtxt5vIgVhQBgE7f0dtr9fmagQrCYvRFF0TeXqYkmLVNrllXcLBNjtwWEiYy2J4Wpb8caZRVYqTfIjDnPn24k47SFVXBw7RsyN4TgxYm4cx3GvIdLLmtWAe24e4jf+8N09tb/75BDV8t4rPIiIHBgDRu8ZJX8iv+0spYslZl+exdghkU1ERERERESk3+iKtYiIiEgXWZZNKpkllcyuvRZFEa1Wg5bXoNVq0mzV2/9uNdkq0cEwLMz15RzWLYdLlR0IiMJ2kkMUBURRuOOT9rBV0sPW81uWhWXamJaFaVpYptV+zbKxTAvTsjFNc+3flmXfcNUf5i56GKbBj33fbdx98yDfemmat88VWL8LTNPgnpuHePKBo5w8kuXC6QbL8+3+D8OwPQRJGBKEfvt74BMEq0OTrP4chJe+X6ri0cXxHg0DwzAxMDFNq/2zYWKufs/lXQYHk0wvh3hR5x8bTNPCtFxMywYnx223DZGMAhwntjo0yv7dSFu40OLBD44xOpBgfrm+q7aJmM0nHjrG7LuNfYpORGR/GJbBxAMTZMbT285TeK/A4puLPYxKREREREREpDuU0CAiIiKyzwzDIBZLEIslNrweRRGe36LVrNPymrRa9dVkhyZRFG65HAwDCxNw2JTzsL66A9FqokO0muyw+kV01fvJQRAQBAF4O8+3nmkYq4kNJqbZvilumiaG2b5Zbq7ePDdNC9M01m6gX5rXME0MDNqbaKxta/s1o6cJE+0+i9aSRNa+iIjCcPV7xHtvRczNGAyMWfyJj06ytJznzEyRRtPDtU2Oj6WIuybF2Wm+9uJZKitee//s83gGa4kJrCYsGAamYYJhYmKuvcZV+tRcPb78YHO8pmljWk47ucVy2l+rw5wY5uUDM5sfJp/NsxjrzTAby7MtmvWAT3/oJP/Xl9/YVdtPPHQM2zJZuLj1sC4iIv3IjtsceXiSeC6+7TwLbyyw/P5yD6MSERERERER6R4lNIiIiIgcEMMwcJ0YrhNbfeVypoHntfC8Jp7XpOVf/tn3WgTb3RBfre5gbVHdYb0NCQ5XJj3Q/iJiV9UAoijC93eRAbH9kraftJbgwLqb9O3XNi5hi2Vssy2XEkfWJy1sN++WZoG3wY2b5Ics0jGDbLxdgWH+Yonioo/f2pycshuXKymsbutqQsLaa6tVFtZe25CosLdqCI7t4joJhoYGGRoZo9qIMC0Hw7Qxd1GRI5d2CbzelTaPIpg70+SHn7yVV99d5Pm35jtqd8vRHF/87N3Mn2/0NF4RkWsRy8U48vARnPjWl3aiMGL25VnKU+UeRyYiIiIiIiLSPUpoEBEREelDjuPiOC6Q2fC6QXvoCM9r4flNPM9rJzr4LVpeC99vEW5R3WHDMlaf4G/f7Ha2n/FSVYIovPwzEayvXMCloS4uzcPuEgJ2Yy2edj+EdKPSQXdibTVC5qd2iGct0aCdftFOTDAwMGn/aF6uRrFWRYG1RIVusiwbx3awLQfbbn85totjOzhODNt2MAwD2zE4ejTL9z1+D7/33XO7Xs9wPs4tR/O8+1JvqjNcMnOmQTJr8de++Ch//98+z7dfnt5x/ntvGeavf/ERqkWfC2/WehSliMi1SY+nmXhgHNMyt5weBiEzz89Qne/tObgbTMciNZbGitkYpkHgBTSWanhlVdARERERERG5ESmhQUREROSQsSwby7KJk9xyehD4+L6HH3j4vreWAOEHHoHv4a9O37KSwXprFRG2vlmyYdYr/t1OcojWJSG019VeZ3TFdNbmu5Rg0J79UnyXIr387w3/3LQdu0gAMK5scanew2ragXH5lfY34/JcxuV5LyUdXHr9ctvdJyTsNX3Bsiwsq52cYNv2asLCld+djuPxvYilGY/PfvjmPSU0/OBjN9FqhizNtnbd9lq993KVm/yIn/0vH+ZHzxf58lPv8+2Xpmj57WQfyzR49O5xPvvhm7n31mEWpxu891Jl33JxRES6afCWAUbuHNl2etAKmHpmikax0cOorl0sFyd7YoDUZI4wilgpN/HCkEzSZeSeCaqLVSrnl6nOlLqVjygiIiIiIiKHgBIaRERERK4zlxIeYiS2nSeKIoLVhId2ooOP57cIAp8g9AnDgCAI2v8O/KtWfbjSpWoEq//tQmd3KLpbs6Bb6+rm3RVjNUGhvS9ty8YyL/+7/WVhmtaOiQrGNcY0e67JBz6c5YN3jPLC250N3wCQSjh8+omTLF5ssctDp2vOvl5jaabF2Ik4f+lPPcBf+BMfoFRpEUYR2ZRLzLUozLV485kVVua7MVyKiMg+M2D8vjFyx3LbztIsN5l+dhqvdrjOawO3DTN4xygXZkv86998lT964SL1pg+08wQ/cNsIn/3QSR6+/wjp43kWnr9I6B3QLxgRERERERHpKSU0iIiIiNyADMNYG26gE2EYriY5+GtJD5cSHi69HoYBURQSBCFR1J4/jELCILh6NYjrjGlamKaJaZjtny0Ly7QwDBPTNNs/r343TaudvGBeTl4wzatXxeiFSjFgYbrJX/nJh/gr//hbnJ+9+jjsMdfi5770KImYzdtnDrbUebngUy54nHujysCoi+22h/KotBoUF1o06+2bYb1MkBER2QvTMTny0CTJoa2rMwFUF6rMPD9D6B+uG/2Dp0bI3TzEL/76y/zO02c3TY8ieOmdBV56Z4GbJrL8/M88ztijJ5j97jmiQ7atIiIiIiIisntKaBARERGRqzLN9o347RIgrnZDOIqitaSIcDXZIQrDtZ/D8NJQFCHRpeEnoohw9d9E0drrURRhrPs5uso4AVtWLrjiNcNoDxthGmZ7KIl1P1uGuTrdXJvv8tdq0oJlYRrGWiLDtei3m+vvvlTj1CMpfuG/+gj/4Fdf5Huvz2w7NMOxsQx/+Sc+yImJLKEHXqs/Elm8ZsT8BY29LiKHk5NyOPrIJG7K3Xae5bNFFl6fP3RDMaQnswzcOsz/9u9e4OvPXrjq/GdnSvz3//hb/P2/9FGG75tg4YWpHkQpIiIiIiIiB0kJDSIiIiKy7wzj0hAK1lXm7PWQE1df38EMOdE/whDeeqbKzfcl+GtffIT5Qo0vP3WG59+co1L3iLkWtxzJ8ZkP3cw9twzheSG2ZdJs6alZEZFrlRhKcOTBCSx369+fURQx//oCxbPFvkuI60Tm5kH+6IULHSUzXDJXqPGP/sPL/LUvPkLx7QW8amsfIxQREREREZGDpoQGEdmD7t2wOYwX3dqu9z7o7U25w9oHvY+7H/dLv74XuhNXr2NSH3R3fUbXjs9eH+f9l9QRhvDeSzWm320wdjzGn/7BU/zU5+6+vIQoYmm2xRvfK3HLfSlwLi1387L7cR93vpxev6+6857p3nsBOoupH9/r3XxfdWv7+jGmq/ensc17e6/r6+1xfrj6PHssy9i9Yxjm1ksKvICZF2aoLVQxdljO3uLa//0SG0iQzCf47W+d6Sii9Z55fYalYp3siTyFN+bWTeleHxzWY2qvv9O2atfrc1nv+7yT5RzO46Cby+r93xHdWU43l9XrPu9cd/4u68ck7378zNDWy33cn59Du7e+Tun63JXbt/ft7dd93In+O7d0V/89INOP57J+1L/H1PVHCQ0iIiIiItKReiXk7Bt1zr9dJ560sGyDMIhoNcLV4SWu7w+qIiK9MnxqmMFbB7ed7tU8pp69SKt8eKsTZI7lOTu9wtvnl3fdNozgK0+f4ce/73YKb87p14+IiIiIiMh1TAkNIiIiIiKyK2EAtXJw0GGIiFx3DMtg/P5xMhOZbeepL9eZfm6KoHm4z8NmyuWV12f33P7195dwPm1juTZB0+9iZCIiIiIiItJPlNAgIiIiIiIiInLA7LjN5EOTxPPxbecpT5eYfWmWKDz8JQkMy6R+DYkIl9qatknQ7FZUIiIiIiIi0m+U0CAiIiIiIiIicoASgwkmHpzAjm1/mWbpnUWW3lnqYVT7KwpCknFnz+0Tq30V+mG3QhIREREREZE+pIQGEREREZE+FE+aODED0zTwvYhaJSDSPRsRketO/qY8I3eNYJjGltPDIGTulTnKU6UeR7a/wmqL+24d3nP7e28ZptX0CVoabkJEREREROR6poQGEREREZE+YZowPOkydsIlN7DxqdVGI2DhYovZcy2adWU2iIgcdoZpMHbfKLmj2W3nCVoB089NUy/UehhZb5TPFznx4ZOcummAt84u76qtaRp8+ombqF0swuEffUNERERERER2oIQGEREREZE+kBuyuf2BBJZj8PQr0/z+vzvHxfkKQRiSS8X40Acm+fTjJzl6S5ap9xuce7Nx0CGLiMge2QmbIw9NEM/Ft52nVWkx9cwUXs3rYWS90yzWqS3X+PyHb+ats8/vqu1jd48zmEtw4fkL+xSdiIiIiIiI9AslNIiIiIiIHLDBMYdTDyZ56uVp/tlvvkqx0twwfaXS4vxX3+bX/vM7fN/Dx/l//eh9uDGT0y9df0/siohc75LDSSY/OI7lWtvOU5mtMPvSLKF/fVfkKb+/xEcePMZLpxf56vfOddRmYijFX/yx+ylNFfGv02QPERERERERuUwJDSIiIiIiByiVs7j9gQRfe+Yc//t/fJloh9LZQRjx1e+dY365xv/w049xvB7n/Nuq1CAiclgM3jLA8KkhDMPYcnoURSy9s0ThdKHHkR2M6kyZ5XcW+Is/9gHirsVvfev9Hee/5WiOv/XTj2G1fOZfmelRlCIiIiIiInKQlNAgIiIiInKAjt0a4/3pFf7Jr7+yYzLDei+9s8Av/dbrfOnz9zBzponX0gDiIiL9zLAMJj4wRmYys+08gRcw++Is1flqDyM7eMvvLBAGAT/zw/fy2Q+d5LefOsMfPHueasMHwDTgwVNjfPbDJ3ngjlFqC1XmX7hAFFzf1StERERERESkTQkNIiIiIiIHJJYwGRp3+Of/6l3CcHdJCV/93jn+9KdOMXosxtR7qtIgItKvnJTDkQcniGVj287TLDWZfn4ar3pjDqGw8t4S9fkKmZsG+anP3MVPfe5uytUWQRCSTrrEYzaV+Qrzz1+gNlcG5fGJiIiIiIjcMJTQILJLWxcGvZ5058rQ4e6n670Penv1r7f90L1t6/3+68fYexeT0eX1daK7+/jqsR/G/bKb9fV6+3q5vv08VsaPO6xUWnz3td2XzW56AV995hyffOgmpt6r7zkiYx+PqW0Kqu96Odvr1rK6edwdzu3rx5i6uaxOt6+z98P13QdXX1bUUT9195jqvz7v9FhJjaYYf2ACy7G2nas8XWLu5VmiINph3df7cR7hlRsUXp1m+c1ZkmMZLNfGNA0qXsDiUhW/2upgvZ2v7+rzdKL3x1Q31nXlvMY27boV0/p1XeuyDvdx3p1l6Xd2Z8vp9rJ6ub5e/w49zNcjet/n3VlfJ7p5HHR3fZ3odZ934nq65rS3bTnMfd6f19n7L8O2H89l/ao/jynZiRIaREREREQOSCpv8cwbMwS7rM5wyfdem+WHn7wVN2bQal7fHzZFRA6bwVsHGbpjGMPYJr0rilh8c4Hi+8s9jqy/RX5IdWpl0+u66CgiIiIiInJjUkKDiIiIiMgBMW0o11p7bn+preUYoIQGEZG+YNom4/ePkx5PbztP0PKZeWGG2mJNN+pFREREREREdqCEBhERERGRAxKF4NrblyG/Gne1hHkYdisiERG5Fk7KYfKhSWKZ2LbzNFYaTD83hV/3exiZiIiIiIiIyOGkhAYRERERkQPiNSJumsjuuf3x8SxhGOE1ldEgInLQMpMZxu4bw7TNbecpXVxh7pU5oj0ONdQxg+t92FsRERERERG5QSihQURERETkgCxMedz7yDBHRtJMLVR23f4zT9zE4kyLMNiH4EREpCOGaTBy9wj5E/lt54nCiIU35imeLe5bHMmRFJkTeRJDSWzHIgojWk2f+kyZlXPLeFVv39YtIiIiIiIisl+U0CAiIiIickCW5z1qVZ8fevwm/vlvvbartrcczXHb8QFefbq0T9GJiMjVOCmHyQcniWW3H2LCb/rMvDBNfam+LzGkxtIM3DlCIh3jtXcX+aNvv0+p0sSyTI6MpPjUYzdx4uZBynNlll6dI2gosUFEREREREQODyU0iIiIiIgcoLlzLT79oZM89co0b54tdNQm5lr8V3/ifkpFj1JBY7CLiByEzJEMY/fuPMREo9hg+rkp/Mb+nKtzJ/KM3DPGN56/yK99/R0uzm+u9vNr//kdHrxzjC997m4mnjjB3DPn8SqtfYlHREREREREpNu2/9QtIiIiIiL7bur9JsUFj7/5049x18nBq86fitv8zZ9+jKMjGU6/WO1BhCIisp5hGozdN8bEAxM7JjOsnC9y4enze0pmcDMxEkNJEsPJdvUHY/M86YkMo/eO829+7y3+/q++sGUyA0AYwbNvzPGX/+E3ObtQZuzhY1gxPd8iIiIiIiIih4M+wYqIiIiIHLDTL9a47f4kf+fPfYg/fP4CX3n6DO9dXNkwTzbl8gOPHOdzH76ZpOvy5jMVGtXwgCIWEbkxuSmHyQcndhxiIvRD5l6Zozy9uyGBTMcieyxL/ngWJx3fMM2rNli5UKZ0vkjQCjBMg6G7x/i975zl1/7zOx0tv9rw+Vv//Lv8w//2YwzcPsziq7O7ik9ERERERETkICihQURERETkgIUhvP1CjfHjLo+dmuQHHj3BmakVLsyXCYKIXDrGfbcOE4YRixc93n+/TKuhZAYRkV7KHMkwfu/ozkNMrDSYeWEGr+rtatnZYzlG7h4hClpUXvk65Ve+gV9ahCjCzgySvvdjDNz//QzdNsTiWwsErQDLMfnVr769q/WUax6/8Y13+dJn76bw5jyhr98lIiIiIiIi0t+U0CAiIiIi0idmz7eYO98iO2gzPBnnrvEEhgGBH3H2jToLUy3C4KCjFBG5sRimweg9I+SP53acr3i2yMIbC0RhtKvlD9wyyPCdIyw/9esUn/oNIq+xYXqrXqbw9X/J8h/9KrnHPs/Ikz9Oq+7x3ddmKJQa2yx1e3/w3AW++Jm7yRzLsXJmedftRURERERERHpJCQ0i29hiiNJDbncX1XbSn32j7eu13vfT1fugH2Pqps63r3dxdS+mzmLu7j7u9THVnf1ymPvA6Oqx2cv+7Obx2dmySgWPUmHnp3u7tb5unluuXNbW+7y3MXWi0/V16xjufDm9W99+Hgd7XU43l9XdfXxY+6A76zOJOlxfZ/q9z52Uw+SDkx0MMTFLZbp8Rfurry89kWH4zhEWv/pLlJ79yo7zRn6L4rf/I0F5mZHP/nmWVnafzABQa/g8/do0Dx0doHSmsN3arrqc6/3c0q1js9P1dasP9vo7xmBztQ71eb+ezzt1PW9fr68B9WMfdOqwrq/X1wj685jq3vo6cRDXZTrRj9e4OrF/+3j/90E/Xr/qlv67xg79eS7rR/15TPVaN/bx4TxOtq+TKCIiIiIiIiJyg8ocyXDiIyd2TGZorjQ4/62za8kMuzV0xyDlV75x1WSG9covf52V536Xjz0wiWXu7bJeYaWBscPQGSIiIiIiIiL9Qp9eRURERERERERWGabB2H1jTDwwgbnDTf/i2SIXnjqPV925os52ksNJ3HSC4nf/067brnzvt8mkYzx69/ie1m0Yer5JREREREREDgclNIiIiIiIiIiI0B5i4viHj5M7ntt2ntAPmXlhmoXX5ojCvZfrzJ3IUb/wFt7C+V239YtzVN97mc9+6MSe1j0ykCDygj21FREREREREekl+6ADEBEREREREZHdcVM2A8czJDI2pg1hAF49YPlChdpy86DDO5SyR7OM3TO6Y1WGxkqDmRdm8Kuta15fPB9j5anv7bl9/Z3vcdsnfmrX7TJJh0fvHqf4xtzaa3bSIXtiADsTw7BNoiAirHtULhZpFGp7jlFERERERETkWimhQUREREREROSQSA7GGLk1Q2Y0jVcq0DjzHF6jhuHESEzewcCHTtBYqbP4foXiVOWgwz0UTMdk/N4xMpOZHecrni2y8MYCURjRjQEbTMcmqJf33D6sV4jHXUwDdlMo4vsfOY4RQmVqhdhAgtytw6THMhRW6nzn7XlqdR/XMbnj+AA3P3GSWrFO5WyBysXinmMVERERERER2SslNIiIiIiIiIgcAvljaY7cO0jj/JvM/tpvUXv3BYjCDfPEJm8j++APceT+j5LIu8y8XjigaA+H5FCC8fvHcRLOtvOEfsjcK3OUp/eefLCVKAgxHXfP7Q3HJQzDXSUzDGbj/OiTt1KdKpKayDJ83wRvninwm7/zBs+8MUd4xcJuO5bnMx86ySceOkYsn2DptZk9xysiIiIiIiKyF0poEBEREREREelz2YkkRz8wzPK3/yPLf/Sr287XnD7NwvRpaqefYeSH/xuiMGL2zeUeRno4GKbB8B1DDN4yuON8l4aY8Kpe12Pw6x7O6E17bu+OnIAo5Eufu5tf+vLrRFdJbMhnYvz8/+Nx4gaUVhqMfGCSX//Dd/lXv/PGtm1PXyjyv/27F/nuazP8lZ98iCiKKLw+u+eYRURERERERHZr+4EhRUREREREROTAWa7J0fuHKD7zlR2TGdarvvVdFn7rHzF8S570SGKfIzxc3LTL8Q8du2oyQ/FckQtPXdiXZAaA0nSVzD1PYrjxXbc1LIfM/d9Hbb7G5z96M3/jpx7lzpu23h7XNvm+h4/xD/7SRxlLx1h8cZqhe8b5nafP8i+/sn0yw3rffW2W//VXXiB/cojkaHrX8YqIiIiIiIjslSo0iIiIiIiIiPSxweMZIq/J8h/+m121q77xbWoP/ACDJ26iulDbp+gOl/yJHCN3jWBa2z/fEbQCZl+epTpX3ddYSheKDN0+RPqeJym/8Pu7apu68wnMWJLF197DObvM3adGefi/+gjnZkp888UpVqpNLMvkyHCK73v4OImYRWW6xMwbc2SP5Wn5Ib/85dd3tc6nXpnmpbfnufXEILX5yq7aioiIiIiIiOyVEhpERERERERE+pUBg8eTlF/6PSK/tevm5ed+l9E//t/hJGy8ur8PAR4Olmsx/oFR0mM7VxeozleZfXmWoBnse0yhF1KeKjH45E9QP/My/nJnQzlYmSEGP/FfUpkuETR9gqbPzFNnieVj5E8M8mNP3ozl2ERhiN/0qZ9bZuHC8to2pY4P8PvPnKfZ2v02fvmpM/z1n3qUQsolqDZ33V5ERERERERkt5TQICIiIiIiItKnUoNxnGSM8otf21P76ulnCWoVcpNpFt8rdje4QyI1mmT8A2PYse0vgYRByMJbixTPFDF6GNvCG/PEHjvKxBf+FrO/+vN4S1M7zm/nxxj/8Z8jjFwWX7+wYVqz2KBZnN6xfXwgQTzl8vvfPbeneJ99c45iuUF6MsfK6fk9LUNERERERERkN5TQICIiIiIiItKn7JhFFEV4hc6e3t8kDPCKc9jxke4GdggYpsHIncMMnMzvOF+z1GT6xRla5d1XwLhWURAx/cw0kw9PcOSnfoHyS/+Z0gu/vymxwR4YJ/vBT5J54JP49ZCZ700ReuGu12fF25eBphb2NmREGEbMLFaZ3CE5RERERERERKSb9AlUpO9FPV1bL59G2ptr64/+3L7rfR93Z/sOa9zQzdh7HVPv1tf9/Xv12Lu7zl4e552tq9fHXb8dU50vp5vn4G4dd73dx93sA4NoLS7jmpbd2+Ou077sXl91un29O5d1vm39d5x3Fns/HlMdxmRGRGHQ8fxb8lsYRneOqfb7vP/73M24THxwglgmtmO75fcLLL21SBRGmNewvq111geR5zP93YvkTg6Qvfv7yD3yGRpT7+KvzAMRVmaYxLE78GsNVs6UWDlTIArCLWLoIG7DIAhDwnDvx5Pnh5gxq8vnqO4sS+eyvff5Vuvvbp93a1mH+HzepWX1+n3Vj58H1Aedr+/wHnfdW18nurl93V1fJ3rd553ov8/+nTmsccPhjb2318W7qR/PZf2oP+/HdFNvryt24nrtcyU0iIiIiIiIiPSp0AsxLRvDjRO1GntahpnMEa7s/mn+wyp/Ms/wqWFMy9x2Hr/hM/fyDLWFWg8j214URhTfK1B8r0ByNEVqbAhzYBQAzwtYefYCtfnyNV/jCr0AyzRJJRyqdW9Py8inXcLa3tqKiIiIiIiI7JYSGkRERERERET6VG25SRSEpE49TuWVP9x1e2foCLGRI8ydmdmH6PqLFbMY/8A4qdHUjvNVZsvMvzJH0Ap6FNnu1Oar1OarG17r1lPwzWKdIAj50H2TfPV753bdfnI4xfGJHHPP7r6tiIiIiIiIyF5s/7iCiIiIiIiIiByooBVQmq2SfejTe2qfefBTtKoNKvP9UYlgv6TH09z05E07JjOEQcjcK7PMPDfdt8kM+y30AqrTK3zuwyf31P6HnriJZrVJfa7c5chEREREREREtqaEBhEREREREZE+VjhbIj5xM4mT9+2qnZUZJHPfJ1g+V736zIeU6ZhM3D/O5EOTWK617XyNlQbnv3mO0vmVHkbXnyrnCtw0mePBU6O7ajeQifHJR05QO7+8T5GJiIiIiIiIbKaEBhEREREREZE+VltuUpouM/qj/z3OyPGO2piJNON/6m/gt2D5fGmfIzwYqdEUJ5+8iezR7LbzRFFE4d0C5799Hq/a6mF0/atZrFOeKvKzP/kQJye377v1UgmHv/XTj2H6AeXzhX2OUEREREREROQyJTSIiIiIiIiI9LmLLy3SqERM/pm/S+rOJ8DY/uN87MgdTP6Z/wkzM8b5Z+YJ/aiHke4/0zYZ/8AYRx85gh23t53Pq3tc/O5FFt9ahOurC67Z0stThOUG//Nf/AhPPnAEyzS2nfeO4wP8r//1R5gcTLL47HlCL+xhpCIiIiIiInKj2/6Tv4iIiIiIiIj0hSiMOPfMPJP3DjL6I/8tQaVI6YXfo/7+S4SNGoYbIzZxK9kHf4jY2AlqS1UuPj2L3wgOOvSuSo0kGfvAOM4OiQwA5Zkyc6/M6eb7NqIwYv7Z8wzeM8Ff/sKD/PTn7+Er3znL82/OUWv4xFyLW4/m+eyHTnLySI5aocr80+8TNPyDDl1ERERERERuMEpoEBERERERETkEojBi6uUl5k+vMHgiS/6xP8Hgkz++Nj0MAkrTVaa/PUW92DzASLvPtE1G7hohfzy343xBK2D+9XnKU+UeRXaIhRGFV6YpnV4gc2KQH3vyFr7wg6fWJgdBSG16hZlvv0ezWD/AQEVERERERORGpoQGERERERERkX1iWAZE7WSEbvFqPnNvFph/u4Ads7EckygI8RoBUXD9ja2QHEow/oFxnKSz43yVuQrzr87jq4rArvh1j+W35lh+ex47bmM6FlEQEjR8omAfKlwYYJjm/iz7emcYGKahvhMRERERkRuKEhpEREREREREuig9HCd/IkNmNIFlmQD4XkBpts7yuXLXqidEIXh1H/86fXjesAxG7hxm4Kb8jvMFXsDC6wuULpZ6E9j1Korw6x7UPYwuL9pOOqRPDJGezGIlYu3VhSGtYpXy+SK16WJXk36uJ1YqRurECIkjOazYur4rlKmdX6I+U4RIfSciIiIiItcvJTSIiIiIiIiIdEFqKM74PYMkMy5vvL/EH/zGaQorDQzTYHQgwQ8+eoJbPjxBpdhg9pUlGqXWQYfctxKDccY/MIabcnecr7pQZfblOQJVZehLpmMxdN8kifEcQWWF0rO/SXP+HJHfwoqnSd7+CEP3PsrAnWOsnF6gfHbpoEPuG2bMIX/fMeJjebyVRVa+8+u0Fi8Q+T5WIkPq1GPk73+I7F0e5bdnqF1Q34mIiIiIyPVJCQ0iB6o7T1F0++mZ7tifJ0T6Z1v77wmY3vdNZ33Q27h6u18637Z+fK8fzpj6sQ+ge3EZXT2G+68/+3N93Yy71++r7sS+v8fd5mV3a790c1nd7fPenls6W1+v++Dq+vV8dy39mZtMceT+Eb73+iy/8ntvcm62vGmeL3/7DHccH+CLn72L2x8fZ+q5OapLjWuOqbt9vtV80dp3g3Bf38eGaTB8apj8yTyGsf2aQj9k4Y15SudXVpdzmI/z7pxber19V1uOFXcYe+wEBDXmf/1/ofrOM+2yIutUXv8WVjpP9qHPMPihH8VOOqy8MbPPcXdvWd3dx5dZqRiDj95C2Fhh9t//XWrvvbi57177I6zMEPnHPk/+kc9iJVwq70zv+Xxn7vje7yzunfXub7duLuvwxtTNZfX6c5P6oPNlbRfX+t/bvf5bsRP9d0x1d32d6HWfd6If+6lT/difndjj38t9cV26H2LYqB+Pu37Un++Fg9B/+0/7ZmdKaBARERERERG5BqmhOEfuH+HL336ff/5br+1Y/f3t88v89f/jaf67LzzIIw+Oc+47MzTLqtQAEM/HGb9/HDe9c1WG2mKNuZdn8Ot7r8pgxWzctItpm4RBiFf12sMtSFcYtsnow8eJGsvM/JufI6gWt503qBRZ/sav0Jo7w+gP/zeErYDyu/O9C7bPmK7N4MM346/MMPurf4uwXtl23qC8xNLXfpnWwnlGPvPnCVse9bMLPYxWRERERERk/ymhQUREREREROQajN0zyDOvz141meESP4j4X37lBf7eX/ww43cOcuGZ2f0Pso8ZpsHQ7UMM3DKwc1WGIGTxzQVWzhb3vK7EcJLciRypsQyGaW6YVpsvs3J+hepcuR8f2DlUsieHsWIGF//Vz++YzLBe9c2nKWSHGPzEf0ntYuGGHUYkdes40GLu3///dkxmWK/80texsyPkH/8RGlMFIi/Y3yBFRERERER6SAkNIiIiIiIiInuUGoqTzMT4ld9/q6Nkhkv8IOTfffVtfu6nH8NNObSqN2Z1gFg2xvj948SysR3nqxdqzL00i1fbWz9ZMYvJByeID6apX3iL+f/0L6iffZWoWcdwY8SPniL74A8x8dD9tMo1Zp6d3vO6bngGpI/nKb/wuwSlxV01XXnud8k/8SdIHR+i9M7cPgXYx0yD5JEBik//B4Lqyq6aFr/7n8g9+jkSR4epnbkB+05ERERERK5bSmgQERERERER2aOBExneOlvg7Exp122ff2uOxeU6gyeyzL6xtA/R9a9LVRkGbx7AMHeuyrD09iLF95f3vC4rZnHsiWPQKnHxn/9NWnNnNkyP6h61089RO/0c9sAEYz/6lzn6xHEufucCXlXDgexWYiyLFY9RevFru28c+JRe/CqZD36a0um5G65SRmJyEMM2Kb/89V23jVp1yq9+g9QdH1FCg4iIiIiIXFfMq88iIiIiIiIiIltJjyb5g+cu7KltGMEfPH+B+HC8y1F1h+Va5E/kMO32pQPTNkmNJK95ucmhBDc9eYKhWwd3TGZoFBuc/9b5a0pmwIDJhyaJmkWm/q+f3ZTMcCV/eYbpf/XX8ZbOMfnIkbVtl84lRjM0L76DX9zbTfXKa9/ETsRxsokuR9b/YqNZ6mde2XV1hksqr34TO53CSu5c8UREREREROQwUYUGERERERERkT0wTAPbNimUGntexnK5ge1aXYzq2sXzMfI35clMpPH8kKmlKi0/JJN0OfboEeqVFuXzK6ycLxH6YcfLNR2TkTtHyB/P7ThfFEYsvbNE4b0CRLB9ysPVpScyxHIJLv4fP0tY66yKRuQ1mP21v8vxP/+LZI/nKb5fuIYIbjymY+Ev773iSFBZXlvOjcZ0TJrlLvSdaxPUmt0KS0RERERE5EApoUFERERERERkL6J2PXzD2Pstd8MwiKL+qas/eHOe0btGODu9wr/+9Zf5oxenaLaCtenHxjL80BM38QMPHydzPMfMs9N4Ve+qy01PpBm7exQ7vvNliMZKg9mXZmmVuzPUQ/54lurp5/AKM7tqF9ZKlF/9Q7KnPqaEht2KgGt4T6y17Z+3Rc9EEWBcQ1WQ1b7rp3OKiIiIiIjItVJCg4iIiIiIiMgeRBF4rYCxwb2Xxh8bSBKsSxg4SIO35Bm9c5h/8Vuv8Zt/9N6W81yYK/PP/u9X+bWvvcP/8NOPceyxI1x8+iJ+3d9yfjtuM3rPKJnx9I7rjsKIwrsFlk4vde1GtptxSQxnmPnq7+6pfen53yf30A+RHElRW6h2J6gbQNjycfPje25v50fXlnOjCVsBTn5sz+0v9V10A/adiIiIiIhcvzQYpIiIiIiIiMgelWdrfPKRE3tqa1smn3joGNW5epej2r3kcILRO4f5Z//3q9smM6xXrDT5q7/4FLPLNSYemthyntzxHDc9eeKqyQz15TrnvnmOpXe6l8wAEMslCH2P+plX99TeW7yAV1wklot3L6gbQG22RGziJO7o3t4Xmfs+jlep4ZX3PpTLYdWcLRI/cTd2bnRP7TP3fQKvWCaod6fCiYiIiIiISD9QQoOIiIiIiIjIHi2fK3F8IstdJwd33fZD902QSjgsny/tQ2S7kz+Z5+V3Fvjtb7/fcZt60+d//jfPk8zFSY4k1153Ug7HHj/K+H1jWI61bfvQD5l/bZ4LT12gVen+DVjLMQmbDa4lSyJsVjF32AbZrLFYwSvXyH7wB3fd1nDjZO77OJVzy/sQWf9rzBUJG02yH/zkrtuaySzpu56gdm5pHyITERERERE5OEpoEBEREREREdmj+kqLynKDL37mbmyr84/YqYTDT/zgKUqzVfzGwQ454aQcsmOpXSUzXHJ+rsxr7y2SO54DAwZvGeCmjx4nOZTcsV1lrsKZb5yleLa4x6ivLgxCTNu5pmUYtksUhF2K6MZRPl8kfd/Hccdu2lW7gY/8KTAdahdvzIQGIqidL5B98FM4g5O7ajr48S8QBSGN6cI+BSciIiIiInIw7IMOQOTw6V4NVKNrS+q1w9wHXaxh2yX92Af9GFM3dbZ913dM3dvHncW01fqMdd+NjretH/sAuve+6vX78zCvrzvHQufHXifL6kRv+6Cb55a9LGur/j3omLZeTm+Pg26e83p93HWvr7q3jzuLaX/XN/fKIrc8PsHP/uRD/M//5jk8f+cb4KmEw//wpUcZSsU4//QU5g7xdWv7dtq2/NEMhWKdZ9+c62Bdm33lqTP8lZ98iNhHjhPLxnac12/6LLw+T2W6vBpXd47PrZYT1D3MWBw7P4Zf3P22mbEkdm6Y4OLCFvuoe+eWw/r7Y6ftq55bJDmaZvy/+BvM/MrfxFu8cNXl5Z/4EfKPfZ7Ci+eIPH+LGHp9LjuYPq++N0tsJM34j/8cM//2b+Ivz1617cDHvkDmA9/HyvPvQrBV322/vsv/3irGw3Xc7V7//Y3Qj33eqV7+jdD7zwzdW1/vP1/1399u/Xm9pVO93MeHuZ860c1jqlv69ZpTt+i6eD/2Qaf685jqtf7bf9ovvaMKDSIiIiIiIiLXoFluMfXcHA/eMcov/MWP8Ng945jm5ksbjm3ysQ8e5R/8pY9y81iWqWdnD7w6A4CTdHjr/DJhuPsLRDHH4r5bhzEM46rJDKWLK5z7xtm1ZIb9Vl+s4tebZB/4gT21T9/7McCgMnPwQ4IcOmHE4vPn8Jsmk3/2fyT32B/DTGS2nDU2eSujP/KXGfjYFyi+dpHa1A1aneGSMKT43PsQxTnyZ/8nsg9/BjO2dcWT+LE7GfuTf5X84z9M6ZWzNGeLvY1VRERERESkB1ShQUREREREROQa1QoNzj89zcidg/y1Lz7KUrHOH75wkUKpgWnAyECSTzx4jFTCoTRb4fzTU32RzACAZdBs7T6We28Z5i/+yQ8wOZzecT6v5jH/6iy1hdpeI9ybCErnS+Qe+AGWv/nviQJvV82zD32aylSJ6CoVN2RrkR+y8L0z5O+YYOAjP87Akz9O9c3v0Jo/S+S3MONpUrc/SmziJK2VCkvPnqExr+QRgLDlU/juadKnjjD48Z9k8ON/muob36a1cIEo8LASGVKnnsAdPYa3XKb4zGlai+o7ERERERG5PimhQURERERERKQLmhWPi8/O4SQtBk/k+KEHj2G5FkTgtwLqUxVmzpfwG0F/laYMIhLxzi8PpOI2f/azd/Opx2/acb4oiiieWWbp7UWi4GDKg5bOF8nfMsDQp36Gxa/8k47bDXz0T+EMjDH32pl9jO4GEEYU35xm5Z1ZkkcGSB25n8TND2NYJqHn01ppUHzqNN5y9aAj7TtREFJ+/QKVt6dJHB0kfuwhErc+hmGZRJ6PV6yz9K038FfUdyIiIiIicn1TQoOIiIiIiIhIF3k1n7k3lw46jI41y03uvXkI1zZpXaUawUfuP8KXPn8PQ7n4zsssNZl/ZZZGsdHNUHctaPrMvTjD+IMfJwo8ln7/X0C08zbmP/xjDHzkT7LwyjReudmjSK9vURBSPb9E9fzW74u+SvDpM5EfUDu7QO3sAkYfjhssIiIiIiKy35TQICIiIiIiInIDW7lQYuj2QT58/xH+4LkLW84zOZziz/3x+3jg9tEdlxWFEUunl1h+d4l+ufdam6sw9+I0o/f/APHj91B67itUXvsmUetysoVhOaTufILsQ58mNnEzC6/OUD5fPLigRURERERERARQQoOIiIiIiIjIDS1oBpRnqvyxj9zMN56/QLguEcG1TX7s+27nj3/iVhzb2nE59eU6cy/P0aq0+u6J++pMmalKk9zNgwx98qcZ+sSfoTF9mrBZxXSTxCZuxowlqc6WWPrOOZrL9YMOWURERERERERQQoOIiIiIiIjIDW/5/WVOPHGUL33+Hv7P//QaAA+eGuX/+SP3MTGc2rFtFEYsvLFA8WyxB5HuXavcZOHlGZbemCdzNIebOYqZNfH9kPq5GuWL0wQNv++SMURERERERERuZEpoEBEREZG+k8yYDI65OK4BBvitiOV5j8pKcNChiYhcl5orTeZenuNzH7mZTMol7lo8fu/kVdsFXsCFpy/QKrd6EGV3hF7AypnCQYchIiIie2QO5jGHBzEcG6KIqNkimJknqqnCkoiIyPVICQ0iIiIi0jeGJxxGT7gMDLsslxosFutEEQyNxTl+R5aVgsf8+RYLU02iPhmbXUTkelGeqZAcKfGxDx7FMK5ep6BeajL1nQuEXtiD6EREROSGZppYRyfg+FHcfIaFQpXlUhPLNhgdTZK58za8uUXCcxcJ5xcPOloRERHpIiU0iIiIiMiBM0247f4kQ+Muz705x5d/431eemdhQ9LC3TcP8ZknTvLEfRMMTTq880KVwFdWg4hIN8TzccbuHSWei1113la1xeKbi1RmKz2ITERERG54roP90P2QSfPNl6b4ylMvcPpCcW2yaRo8fOcYn/vwST7wyP145y7iv/Y2yoIXERG5PiihQUREREQOlgG3fzBFMmfw1/7pU7z23tKWs73+/hKvv7/ELUdy/M2feZxTD6d483sVQj0YLCKyZ6ZjMnJqmNzx7FWrMkRhxNRz09Tmqz2KTkRERG54to396IMUA4O/8b9+g6mFzQmVYRjxvddn+d7rszxy9zj/n598CNs08V9+4wACFhERkW4zDzoAEbm+DQ0b3PuAxcNPmDz2EZOHHje58x6LTPbqJWxFROTGcPz2ONkhi7/xz76zbTLDeu9NrfD//Sffxk0a3HRXsgcRiohcn7JHMpz82AnyJ3I7JjNEq083+k2fqpIZREREpIesD9xF1bD4K//7t7dMZrjSM6/P8rd/+XtYR8axTh7rQYQiIiKy31ShoU9NT0/z27/92zz//PO8++67LC8v02q1SKfTHDt2jPvuu4/v//7v5/HHH+9obNNeqFQqfOUrX+GZZ57htddeY3l5mWq1SjweZ3x8nFOnTvGxj32MT37yk8RiVy9jevD2XpKsP/bIlbpXYq2T7Tt6wuTYTQaZjMUb7xd4+3SBZisgGbd58NQYT3w0TWEp4Ox7IYvz3YittyXker+Pe7v/OtOPfd6PMUG34urucXf1mHq7vs76qH/7oJf92eu+6ub6Ni/LNGHsuMu//9o7vHN+ueOoLs5X+Be//Tp//o/fx4W3a/je3t5n3Ty3dGtZvT/u9m/7jC2W3d2Yent+7Wx9/bePuxV3p+vrfR+oz3cbt5t2Gb1nlOTw1ZPCShdWSAwncRIOACbRrte383y9fF9179zSveMA+vF8fn2f77q3vv48d+4tpq1/Z3fzc2j3zovdWl+3/l7uZj/14/uqU93rh377rNqv/QSdvWd6e27pxG7600gmcCdG+YVffobFYqPjdi++vcBvf/sMn37wOJw539WYrq5fr01dTT9ee+xUP15368Re4z74oVT68bjrtf68B9Rr/bf/tF+uX0po6DNLS0v83b/7d/nd3/1dgiDYNL1YLFIsFnn11Vf5lV/5FW677Tb+6l/9qzzxxBMHEG2b53n803/6T/nlX/5lqtXNT+tUKhXeffdd3n33Xb785S8zODjIX/gLf4Gf+ImfwDRVJOR6Yxhw570mk0ctfu87Z/nK02c4P1veMM//+Z9e495bhvnhJ2/h4YfHePuNgPNnVC9cRORGNHzExbINfv97Z3fd9o9evMiXPn8PY8djTL3X+cUtEZEblWEaDN42yOAtgxjmzpd6muUm86/O0SjUuen7bu5RhCIiIiKXWSeOUijWeOaN2V23/d2nz/LHPnoL0egw4fziPkQnIiIivaK7yX3k+eef5zOf+Qxf/vKXt0xm2Mrp06f54he/yN/7e3+P8AAGkF5YWOBP/sk/yT/+x/94y2SGrRQKBf723/7bfOlLX2JlZWWfI5Reu+Nui9EJk5//F9/lF3/jlU3JDJe8+t4if/uXvse//MobnLrb5sgxnY5ERG5EI0ddnnp5mpVKa9dtm62A//zMOYaOuvsQmUh3GCbYrolp6TkBOVjJkSQnnjzB0G1DOyYzhEHI4psLnP/mWRqFeg8jFBEREbnC0Qm+8p1zhOHunwKeWqjwyukFjGOT+xCYiIiI9JIqNPSJ5557jp/5mZ+hVqvtqf0v/dIvUa1W+fmf//kuR7a9xcVF/vSf/tOcPXt2T+2ffvppfur/3959x0dV5f8ff8+kkgRIo4XeuwoiiooCFn4WViwIIoquivhFQQSFxkpcAABp+0lEQVQLK+qKIAiisq6sFQusihXX3rHhCqKAgCAtEGp6IHWSmfn9wYIM904ymT7J6/l47IP13HvP+czNPXPm3PnMuX/9q15++WUlJSX5NziERHpTi9q0i9KsF1dq9aZsj455++utSoiP0eVDOis3x6EKfmALAPVKXIK1Vo+aON4fWYW6+Ex+OYzwYo22KLVVglJbJyqx8Z8JN7YKuwr3lCp3Z4lsJVUhjBD1SXSDaDXt0UQNWzSscd/iA8XKWX9AVWVcnwAAIMRiohUdF6stPswXN+0sUNd+LfwYFAAACAUSGsJAdna2Jk2aZEhmsFqtGjp0qC666CK1a9dOsbGx2r17tz777DP95z//Mey/dOlSdevWTaNHjw54zHa7XXfccYdpMkOfPn10+eWXq0ePHmrcuLH279+vn376SW+++ab27dvnsu/69es1ffp0PfHEEwGPGYHXqq1Va/7I0X/X76t552O89tlm/b/T2qlVmyht+8Oz1UkAAHVDVJRV5Tbv3/srbFWyWi2yWCRn+D26D/VQ884Nld4hSU5Jy3/ZrZ9/P6Di0krFxljVsVWyLhzQTj06NFfB/lLtXlsoeyWP3UJgWKwWpXZMUWqnVFmjql8NrbKsUtnrs1VyoMTPz/YGAADwUlSUJPk0Xyy3VckSFcWnGwAAIhwJDWHggQceUG6u63O80tPT9fjjj6t///4u5W3bttUZZ5yhG2+8UZMnT9Zvv/3msn3u3LkaPHiwWrQIbObp4sWL9dNPP7mURUVF6d5779XVV1/tUt6qVSv169dP119/vR588EEtW7bMZfvHH3+sCy+8UOeff35AY0ZgNUiQmjaL0nMfba/1sVV2hz75b6aGndFJ27fwhRQA1CdVVQ4lNvD+I2mDuBjZ7Q7GDoSF1icmKyWjgZZ8skkf/5ipkrJKl+2rN2Xrra+26JTuzTT+shPU8fR07fgpT5XlJHTCv5KaJ6lpjyaKSYipdj+nw6mCHQXK+yNPTjtvpAAAIIxUHV4xKiHe+/liQnyMnFWsPAUAQKTjofUh9tNPP+mrr75yKUtISNCzzz5rSGY4VuvWrfXSSy+pW7duLuVlZWVasGBBQGI9oqioSAsXLjSUP/DAA4ZkhmMlJCTokUce0RVXXGHYNnfuXNnt3MiNZM1bWFVUbNPKjQe8Ov7T/2aqQQOrUtJ4vjQA1CdlB+3q26Wp18f37dpUxUXcoELoZXRvpOSMBprxwk9666sthmSGIxwOp37asF93PPGNCspsatsvVdZoPv/AP2KTYtXq1JZq2S+jxmSGsvwy7fxup3J/zyWZAQAAhJ8quypLytTHh/niKd2aylpc7MegAABAKJDQEGLPPvusoWzSpEnq2bNnjccmJSXp6aefVkJCgkv5+++/b3i0gz8tXbpURUVFLmXnnHOORo4c6dHxDz74oHr16uVSlpWVpY8//thvMSL4YuMtOpBfKofDu5uh2QVlsjucio3jhj4A1CfZWTad1LWpWqQn1vrYxkmxOvPEDOVk2QIQGeC5uMRoNevYUAvfWqtfNmd7dEzBoQrd/+wKRcVHKb1tUoAjRF1njbaqSY8mandWWyU2qf791G6z68C6A8pakSXbId4/AQBAGNu1W+ef2kZxsVG1PrRr2xS1zWgsx87dAQgMAAAEEwkNIbR7926tWLHCpSwtLU2jR4/2uI4WLVpo7NixLmVVVVV6++23/RLj8ZxOp9544w1D+a233upxHdHR0Zo6daqh3KxeRA6LRbLbfXsGtN3ukJV8BgCoV/IPVKq0pErDBnao9bH/77R2cjicyt1TEYDIAM+lt01UbmGZvly1q1bHZReU6fOVO5XSOqHmnQE3GrVqpPaD2ym1Q4os1XyYdjqdKtpVpMzlmSraVeR2PwAAgHBhz9qruJgoDTm5da2PvWRgB1UWHpSzkM89AABEOhIaQujTTz+Vw+H6BfCwYcMUGxtbq3quvPJKQ9mHH37oU2zurF+/XllZWS5lPXr0UI8ePWpVz4ABA9S6tesH0ZUrVyo727NftCH8VFVKjZPivD6+QVy0YmOiVFnJcrcAUN/s3VahYWd20Fl9Wnp8TJ+uTXTV+V21b3uFHL7l0wE+sVgtSm7ZQB/+sEPeLFT18Y+ZapAUo0ZN4/0fHOq0+OQ4tTmjtVqc1EzRcdU/W7osv0y7vt+lA+sOyG7jUX8AACBC2Cpl35mlmy7ppa5tUjw+7OIz22tgn1Zybt0RwOAAAECwkNAQQj/88IOhbMiQIbWuJyMjQ127dnUp2759uyHxwB/8FbMkDRo0yOW/nU6nvv32W6/qQujl5zqU0SRR7TMaeXX8wJMyZLc7VVhAQgMA1DcHdlVoz7YyTRl9si48o32Nq/UM6ttK9//1NOXutWnP1rLgBAm4kZgco9i4KH3zq3dL2e7OLtb23UVq2MT7xFDUL1GxUWp2QlO1PbONGqRUnwhTVV6lfb/u064VWaooYjUbAAAQeey/b5Xy8jVr/Ok6pUezaveNslp05blddPOlJ6jy9y1y7OfHcwAA1AUkNISIw+HQ6tWrXcqio6N14oknelVf3759DWU///yzV3VVZ9WqVYayk08+2au6zGI+/pwgcuTnOXXwoF0Xnt7eq+MvPrOj9u91qJLH+AJAvZT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Fo2/7G3NtoHrB7NfMs4HgCecxm3k24LkDBw7o3nvvNZSPGDEiINct82zfkdAA1BPjx4/X6NGjwyZjNFhee+01Q9k555xT7THHL9MnHX6Df+yxx/Taa6/p4MGDhu05OTnKycnRxo0b9frrr6tFixa6/fbbdckll9RqOS+gtiKtb5v1r65du+r555/XSy+9ZPhgJ0l5eXnKy8vT5s2btWzZMiUnJ+v//u//dNVVV3n0AXPPnj2GMl++HG7WrJksFoucTufRsr1798rhcITVMoOIbJHWt2sjKytLS5YsMZTfeeedatCgQa3rY9xGfVFYWKiPPvrIUF7TZ9vaMhs3MzIyvK4vOjpaaWlpOnDgwNEym82m7Oxsw3scYzbqo2D1bX9jrg24F+x+zTwbCI5wHrOZZwOecTqd+vzzzzVjxgzD+JiRkaHx48cHpF3m2b4joQGoJyZPnhzqEILum2++0a+//mooHzp0aLXHHZ+BGhUVpWuvvdZ0AujOvn37dPfdd+u9997TP/7xDzVs2NDjY4HaiLS+bZbhfeedd7p8+KpJYWGhHn74Yb377rt6+umn1bx582r3Pz47XZKaNm3qcXvHi4mJUePGjVVYWHi0zGazqaioyOusWuB4kda3a+Pxxx+XzWZzKevZs6cuuugir+pj3EZ98dxzz6m0tNSlLD09Xf369fNrO/4eN6XDcR4/1ufk5BhutDBmoz4KVt/2J+baQPWC3a+ZZwPBEc5jNvNswOjI6gWHDh3S9u3b9fPPP+v999/Xli1bDPsmJydr4cKFAbtOmWf7jvRGAHVSSUmJ/v73vxvKBw4cqC5durg9zul0Gp5lZLfba/Vh7VgrVqzQyJEjtX//fq+OB+oasxsttbnJcnxdI0aMMH3+2LHy8vIMZY0aNfKqzeqON8tOB+Bq69at+vjjjw3lkyZN8qo+xm3UFxs2bNBLL71kKB87dqyioqL82pbZuNm4cWOf6vR03GTMRn0TzL7tL8y1geqFol8zzwYCL5zHbObZgLlZs2apZ8+eOu200zR69Gg99thjpskMPXv21Guvvabu3bsHLBbm2b5jhQYAddK9996rvXv3upTFxMTonnvuqfa43bt369ChQ263t2zZUsOHD1f//v3VsmVLWSwW5efna/369fryyy/1/fffG47Ztm2bJkyYoFdffVVxcXHevSCgDrDZbNU+Tys1NVXDhw/X6aefrjZt2igmJkZ5eXnasmWLli9fri+++MLwvK/s7Gzdcssteuutt5Sammpab3FxsaEsKSnJp9di9mzR6t47ABy2cOFCORwOl7I+ffro7LPP9qo+xm3UBwcPHtQdd9zh8mxMSWrTpo3Gjh3r9/ZCOW4yZqM+CXbf9hfm2oB7oejXzLOBwAv3MZt5NmBu3759Ne4zfvx43XbbbYqODuzX5cyzfUdCA4A657HHHjPNSp04caI6depU7bFmWe3S4WW1JkyYoHHjxikmJsZlW6tWrXTCCSdo9OjR+vXXXzVt2jTDZHL9+vV66KGHNHPmzFq+GqDu2LJliyorK023jR49WnfddZfhuX4ZGRnq3bu3LrvsMm3dulX33nuv1qxZ47LPnj17NGXKFL344oumdR+/5J4knydPZs8UNWsHwJ+2b99uOj7feuutXtfJuI26zmaz6dZbb1VmZqZLeVRUlGbPnh2Qm4Fm45knz9KujqfjJmM26otQ9G1/YK4NuBeqfs08GwiscB+zmWcD7h2fhGvm6aef1vfff69bbrlF5557bsBiYZ7tOx45AaBOee655/TMM88YygcPHqybbrqpxuM3btxoKIuPj9eiRYs0YcIEw4e14/Xp00evv/66evfubdj21ltv1bhkH1CXmfUvq9WqRx99VA888IDhJsvxOnXqpFdeeUWDBw82bFuxYoWWL19uepzZhylflwM0O/74TH0Arl555RXDr0a6dOmiM8880+s6GbdRl1VWVur222/XTz/9ZNg2ZcqUgD2r12zc9PXXKp6Om4zZqA9C1bd9xVwbcC+U/Zp5NhA4kTBmM88G3PP0MSfr16/XhAkTNGHChICtMsA823ckNACoM5599lk9+uijhvKePXtq/vz5slgsNdbRvXt3XX755erfv78yMjIUFRWlWbNm6bTTTvM4juTkZD355JNKTk52KXc6nXrqqac8rgeoa1q1aqWRI0fq9NNPV+vWrRUdHa3bb79dw4YN87iOuLg4Pfroo2rbtq1h2z/+8Q/TY45fPlMKzIe24yeQAP5UXFys9957z1B+/fXX+1Qv4zbqKpvNpokTJ+rLL780bBs5cqRuuOGGgLVtNm5arb7dOvB03GTMRl0Xyr7tC+bagHuh7tfMs4HACHXf9gTzbMC9qqoqXXXVVVq4cKH+85//6Ouvv9a7776rRx55REOHDjWd437xxRe68cYbVVZW5vd4mGf7jkdOAKgTHnvsMdNfi3Tu3FkvvPCC6TN9zAwdOlRDhw49+t9VVVVeZcq1aNFCt9xyi2bPnu1S/tVXX6mkpMTjeIC6ZMCAARowYMDR/7bb7V59eEpKStKdd95pWD5vw4YN2rFjh9q3b+9SbpY57mvGqNnxvi4TBtRlb7/9tkpLS13K0tPTdfHFF/tUL+M26qKSkhLdeuutWrFihWHbxRdfrL///e8Bbd9s3DS7AVIbno6bjNmoy0Ldt73FXBtwLxz6NfNswP/CoW97gnk24F50dLQmT57sUpaRkaEePXpo+PDh2rx5s+644w5t3brVZZ81a9Zo5syZmjVrll/jYZ7tO1ZoABDRqqqqNG3aNNMbLN27d9crr7yilJQUr+v3ZdmfESNGKCEhwaWssrJSq1at8rpOoC7xJRP0nHPOUatWrQzlZpPNYH1oq2nJPaA+e+uttwxll112md8nO4zbiHS5ubm65pprTMez4cOHa+7cuT7/iqMmoRw3GbNRV4VD364t5tpA9cK1XzPPBnwTrn3bDPNswHtdu3bV0qVL1atXL8O2t99+W+vWrfNre8yzfRce77wA4IXi4mKNGzdO77zzjmFbnz599PLLLys1NTUEkR2WmJiok046yVD+yy+/BD8YoI6xWq0uv0I5wqx/HT9xkuTz0mHHZ8BLh5fpBGC0efNm/fHHH4bySy+9NATRuMe4jVDbtm2brrzySm3YsMGwbfTo0ZozZ47Py0J6wmzcNBv3asPTcZMxG3VRuPTt2mCuDVQvEvu1J5hno76LpL7NPBvwXVJSkp566ik1bNjQpdzpdGrx4sV+bYt5tu9IaAAQkbKysjRy5Ej98MMPhm2DBw/WSy+9pMaNG4cgMlcnnHCCoSw3NzcEkQB1j6f96/jn9UmHlw/0hdnxobypC4Qzs2d69unTRx06dAhBNNVj3EaofPfddxo5cqT27Nlj2DZx4kQ98MADHj2j3h9COW4yZqOuCae+7Snm2kD1IrFf1wbzbNRXkda3mWcD/tG8eXNdf/31hvIvvvhCDofDb+0wz/YdCQ0AIs7PP/+sESNGGJ5vJEkjR47UU089pfj4+BBEZmS2BGd+fn4IIgHqHk/7l9mHqby8PJ/aPr4dq9Xq05K7QF32ySefGMouueSSEERSM8ZthMKSJUt0880369ChQy7lMTExevjhhzVhwoSgxmM2bvraD8zG3bS0NI/aZsxGpAq3vu0J5tpA9SKxX9cW82zUR5HYt5lnA/5j1ndKS0tNPxN7i3m277x/+A0AhMCyZcs0ffp0VVZWupRbLBZNnTpVN954Y4giM2e2nI+vzycCcJin/atly5aGMl8ywYuKimSz2VzK0tLSwmbZQSCc/PHHH4ZfuFgsFp177rkhiqh6jNsIJrvdrocfflhLliwxbGvUqJH+8Y9/mC77HGj+HjfNjrdYLEpPTw9424zZCIVw7ds1Ya4NuBep/dobzLNRn0Rq32aeDfhXq1at1Lx5c+3fv9+lfN++ferSpYtf2mCe7TsSGgBEjKefflqPP/64obxBgwaaN2+ezjvvvBBEVb2DBw8aysyW+AFQe572rzZt2hjKdu3a5XW7Zse2b9/e6/qAumz58uWGspNOOklNmjQJfjAeYNxGsFRUVOj222/XV199ZdjWunVrPfPMM+rYsWMIIpNatGihmJgYly81s7Ky5HQ6vVpmNz8/X8XFxS5lGRkZpr/yZsxGpAvnvl0d5tqAe5Har73FPBv1RST3bebZgP81adLEkNBgdu16i3m270hoABARZs2apVdeecVQ3qxZMz399NPq0aOHX9pxOBwqLCxUfn6+8vLy1KhRI3Xv3t3r+syW7mG5PNRXTqdTRUVFysvLU0FBgaxWq/r27et1fWbLcpn1r+bNmys5OVmFhYVHy3bt2qXKykrFxMTUut1t27YZyjp37lzreoD64NtvvzWU+fNXI4zbiETFxcW6+eab9fPPPxu2nXLKKXryySdDet1ZrVZ17txZGzduPFpWVlamvXv3mv6yoybbt283lLkbNxmzEcnCvW+7w1wbcC8S+jXzbKD2IqFvV4d5NnC4H+/evVtZWVnatWuXzjvvPNMv7j3lcDgMZYmJib6E6IJ5tu9IaAAQ1pxOp2bMmKFXX33VsK1nz57617/+pWbNmvmlrUWLFunRRx+V3W4/WjZgwAC99NJLXte5bt06Q5m/bggBkeTjjz/W1KlTXZaUa9OmjT7//HOv61y7dq2hzF3/6tWrl77//vuj/11ZWalNmzapd+/etW7XrF/36tWr1vUAdZ3NZjPtpwMHDvRL/YzbiETFxcW64YYbtGbNGsO2Sy65RDNnzlRsbGzwAztO7969XW60SNJvv/3m1Y0Ws/eB6sZNxmxEokjp28dirg1ULxL6NfNsoPYioW9Xh3k2IM2cOVOLFy92KbNYLPrrX//qdZ05OTmGMrPHN/iCebZvrAFvAQB8MHfuXNMbLGeffbaWLFnitxss0uFnJR37YU06PKAc/zwgTxUXF+u3334zlPfr18+r+oBI1qZNG8Pz8Xbt2mX6YdETDodDP/30k6H85JN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       "text/plain": [
        "<Figure size 1200x800 with 1 Axes>"
       ]
@@ -668,15 +668,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/shyue/miniconda3/envs/nanox81/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+      "/Users/shyue/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1183: FutureWarning: `penalty='none'`has been deprecated in 1.2 and will be removed in 1.4. To keep the past behaviour, set `penalty=None`.\n",
       "  warnings.warn(\n",
-      "/Users/shyue/miniconda3/envs/nanox81/lib/python3.9/site-packages/sklearn/base.py:450: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
+      "/Users/shyue/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/base.py:465: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
       "  warnings.warn(\n"
      ]
     },
     {
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rtO9h9f33R+Str1bJmkucCxQAkHOe5npNPf0ryUzPa/+pvb+U0dxgc1QAADvl5Albbe3M+epSqZT+93//NxdVoQg8v79I0ujoaB4iAQAAAKwzU6b6dvbJTGcOXe0v9at5Q3MeogIAoPgFl7cpOTmkoe/9P8tfYMVOHdbwA/+qwJJFMkqDOY4QAOAUIxBQcnL+U/4lJ4dl+K1Nmw4AyI+cJDQsWbJE5rPz0Z2dduLTn/60vvSlLykUCuWiShSwsrKyjGXJZDIPkQAAAABzE5uIafhw9tHFKlsrVd1R7XBEAAAUN8PvU2BRgya2/3Buc6VLCu3/tVKhcQU7W3MUHQCg8DAXEQC4nS8XhW7ZskXbtm2TJJmmKcMwFI/H9clPflKf+tSn1N7erpqamhlTUxw5ciSjnN/5nd/JRXgX9KpXvUp33HGH4/UuZJOTmXMP19TUOB8IAAAAMA9jx8dU1lCm8sbyjHWNaxsVGY0oHsqcmgIAAMxdoL1ZZjKp0L5H5r5zOqXJXT9RzVV3KnqkS8oyyhIAoLCYsbh8VfOfMsJXVS8zzuc1AHCznCQ0vPSlL9XnPvc5Sb8doeHsf1OplE6ePCnDyJ71dnZkB9M0tX379lyEd956DcPQlVde6Vidhco0TU1MTGhkZERjY2PyeDzavHnzvMvLNr1EtmkoAAAAALfq392vzhs65QvO/Ijl8XrUurlV3b/pzjo1BQAAmBtvbaUiJ3bLjEfntX/48JOqu+EN8pSVKh0K2xwdAMBp5uCIKjfcpLFf/6/laYieq/KyW2QOZh91DwDgDjmZcuKSSy7R7bfffi454SzDMM79maaZ8fd82bbJ1R+seeCBB7Ru3TpdddVVuu222/TGN75Rf/7nf35RZe7Zsydj2Zo1ay6qTAAAAMBJqVhKA3sGsq4LVgXVsHr+vxgCAAC/ZXg9SkWm5r3/2X0Nf05+5wUAcFiqq0e+6kaVLts4531LOtYo0LBY6a4e+wMDANgmJwkNkvShD31IS5cuPTfywfM9N7nh7J+VbXL1B2s6OjqUTCZnLOvu7tbQ0NC8ykun03riiScylm/ZsmVe5QEAAAD5Mj04rbETY1nX1S6tVXlT5pQUAABgjkzJ8PrnvbvhOzMFrpme+694AQAuNB1WamhIdTfcde4ab4nHp7ob71Z6dEzmxPwT5QAAuZezhIbKykp95Stf0ZYtWwpiFASSGqxZvny5AoHMNwU/+tGP5lXez372M/X3989YVlNTc1FTWNjDuMCffUwLfxcf75k/K3XZe5bOHpPV9rQ3bnvayq66qC9f/dy5vmm1Pqf7uV3l2HttcfYY29dX7CzLTs71AzvbwI3H2M5+bsqY9c9OdtZnrR3sqc9KOabFvmnfa7MW1/DBYUUnsg+B3XxZs7xBr0tfn9WYrNRn12uzs78U8nlcvNdXp6/VTsdkVXEfY7e2gZWY7DzXnbueW2VfWXaeV9ako3EFmpbMYY+ZAo3tkiQzamW+dGf7nRvrs8rOYzw7p/ud8/3cvrjsYec9xk7F3Ob2cl/c9l7LpNS+wwrUL1bTq/7UWlKDx6emV96jYOtypfYdenahtXPdCuf7phX2vT4r3NkGVrnvnLGL3eeefYq3ze3kzmPnjJwlNEhSQ0ODvvrVr+of//EfdfPNN6u+vn5O0z44OeVEISRduEEwGNTNN9+csfwrX/mK4nErHwR/KxaL6XOf+1zG8te85jUKBoPzjhEAAADIFzNtqn9Xv9KpzF99+oI+tWxsyUNUAAAUj/ipQQVblijYumxe+1dtfokSgyMyY3N7jgUAcLHpsJLb96isc50Wvfn/qnTZJp3vC9DSJRu06E0fVfmKK5R8ao/MydlHZzCaG+W9YqP8L75JgZe/WP7bXijfzdfJu3K5VFJi84sBADxfzieLMwxDL3nJS/SSl7xEkpRIJDQ5Oal4PK70s0O7maapP/qjP9K+fftkGMa5aSp+/vOf5zq8DFVVVY7XWWjuvPNO/eQnP5mxrLe3V//8z/+sP/qjP7Jczt/+7d/qyJEjM5aVlJToTW96kx1hAgAAAHkRD8U1tH9IzRuaM9aVN5ardlmtxo6P5SEyAAAKX2p0UsmJKVVteYmGfvj5Oe3rq2lW2bKNmn7qQI6iAwDkizk2rsS2p+Rbu1Ktb/igEuODmtr7S6UmR2SapnyVdarccLP8da1KjYwo+dhTsyYzeBa1yLNymTzl5Yqc2KvQzvuVDk/K8Pnlb2hT1cYXyr9sqdIDg0o9fUCKJxx6tQCwsOQ8oeH5/H6/6uvrM5Znm8Zg8eLFToS0YPX29uqWW27JWP53f/d3etWrXnXe/W6++WZt2bJFO3bsmLH8X/7lX9TY2Kg3vvGNF6w3lUrp//7f/6v/+Z//yVh3zz33qLW11eIrAAAAANxpontCZY1lqmytzFjXsLJB4eGwYhOxPEQGAEDhi3f1q2L9jQodeFSRZ3Zb28njU+PL/kCp6bASAyMMXAwAxSg0rdQTO5WqKJeno001W26X8exo0GY8JnNwVImnt8mcCs1alGfZEvlWX6rJXT/TxOPfU2K0L2ObsUf+V+Urr1T9C35HvmuuVPKJHVIk+xSEAID5y8mUEz/84Q/1mc98Rg8++KC6u7tzUQXy7MMf/nDWJJS/+Zu/0T333KPjx49nrEun09q2bZte/epX62tf+1rG+s2bN+utb31rLsIFAAAAHDewd0CJSOYvdAyPodbNrTK85/8qxRvwqqSmRKUNZQrWlMjjz+lsgQAAFJR4d7/ip4fV/Or3q3TpZbNub/gCan71n6pk8UqFdxyyPMGwp7JM3vpqeeur5aksu8ioAQCOCU0rfeCwkr96VIkHf6nEg79U8pePKrXvoLVkhvZF8q2+VMM//aKGf3xf1mQGSTK8PiXGBzTyiy8rlQjJd+Vmye/474gBoOjl5Mr60EMP6Uc/+tG5f1dUVOjRRx/N+gU4CtOqVat077336o//+I/PTR1y1oMPPqgHH3xQy5cv1/Lly1VWVqaRkRHt379fw8PDWcvr7OzU5z//eXk8PKgFAABAcUgn0urf1a+2rW0yjJnJC4HygJrXN6t/d/+M5WUNZarurFJFc4WM57w3NlNphfqmNN49oehoxJH4AQBws8ieo9JlK9Tyhg8qtO/XmtzxgGKnj87YxgiWqXL9jaq+4uXyltcq9OQBpSanL1iuEfDL396sQEeTvOXlM9alQtOKdw8o0TMgM5G0/TUBAFzA55N3zUqNP3a/Jrf/KOsm/sYOVW15sSrX3ShPsHTm7tddrdShozL7ByXTYgYdAOCCcpLQ0NPTI/M5F+pgMDhrMsPBgwczHvLB3V760pcqFovpwx/+sGKxzOFyjx07pmPHjs1azurVq/Xv//7vqqury0WYAAAAQN5ERiMaPTqq+kszp92raqvS9NC0pk5NyVfi06ItzSqpLVek57AGv/9jxXoOK52IyBMoVUnnOlVd/jK1X7NU4eGQ+nb0K51I5eEVAQDgEqapyO4jSo1MqLRzkyo33Kj4QJfiQ90yUwl5SqtUunS9DMOj+KlhRXbvVTp84WHAA52tKlmzVGYyrqk9v9TU0w8pNTUiSfJVNahiw82qXH+zSi7tUGT/M0r0DDjwQgEATvK0tcpUWuOPfjtjneH1q+Hlf6DKdTcoMdqnsUf+R9NHn1I6OiXDF1CgeYmqt7xUpZs3ygxHlNqxR+bkVB5eBQAUl5wkNAwODp5LTjBNU/X1mQ/vUBzuuOMOrV69Wu9///t16NChOe3r9/v1pje9Se973/sUfHYeKwAAAKDYjBwdUVlDmUrrSjPWNa1rUiKcUOumZpnhEfV+4cOKD5ycsU06ElJo768U2vsrBRdfqqY7/0Tt1yxW72OnlIrz61AAwMIW7xlQvGdA3tpKBRY3KdCwWoZhyEymFT3cq0TvgMzk7EmAwRUdKlnZqbFff1Pjj31XZmLmj3dS0xOK9R3X6K++qtprX6Oaa+5UJOBX/HhPrl4aACAPPB2LFdr3iNKx8Izlhi+gljd8QIHmper/5icVPrJdz5/DKDI1qsixnfJVN6rx5e9RydYrlHxih8zxCQdfAQAUn5yM7z89fWboNtM0ZRiGSkszH9w93+rVq2eM6oDCsXLlSt1///267777dN11182anNDQ0KA3v/nN+vGPf6y/+Iu/IJkBAAAAxc2U+nb1KZVlRAWv36u2q9uUDg3o9Jf/IiOZ4flip47o9Jf+XEZqSouuaJUY5A4AAElSamxKkX3HFX7qoKa3H1B41yHFT562lMzgX9ykkpWdGvrxfRp75BsZyQzPZcajGv3VVzX80y+qdPVS+Vsb7HwZAIB8KiuVp6pKoacfzljV+PJ3K9C8VH1f+ZDCR57U85MZnis5MaS+r39MkZN75btio1RakruYAWAByMkIDeHwbzPXTNNUNHrh4dxgzVVXXaXDhw/bVl5bW5tt5RmGoZtvvlk333yz4vG49u7dq97eXo2PjyscDqu0tFTNzc1asWKFli9fzvQiAAAAWFCSkaQG9g5o0ZZFGes8Xo+iXfuUjl54Tu+zUqFx9X/j/6rtHf+oipZKhfoYwhQAgHkzpODKdk3u+Immdv3M8m6T23+kYPNSla28Qom+4RwGCABwivHs1OnJyZEZywPNS1Sx9jr1/+/fKT7YZa2wdFID3/202t/5/+RZukTpA3Mb4RoA8Fs5SWjwer1KpVJnhnczTXV3d58brQHFLxAI6PLLL9fll1+e71AAAAAA1wj1hTTRPaHqjuqMdVWXv0TTh59QtGufpbISI6cUPrpD1Z2rSGgAAOAi+Jrq5C0r0/gT35/zvuNPfE+Vl90sX0OtksNjOYgOAOCsZ0ddeN53WVWbX6z48CmFjz41t9ISMU089YDqrn+D0oePSqnZRw0CAGTKyZQTlZWVM/4diUT00EMP5aIqAAAAACgYg/sHFQ/FM5YbhkdNr7xHntLKLHtlN7njAZU1VCpQGbAzRAAAFpRAZ4vCz+xWcqx/zvsmhno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       "text/plain": [
        "<Figure size 1200x800 with 1 Axes>"
       ]
@@ -726,7 +726,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.9.18"
   }
  },
  "nbformat": 4,
diff --git a/lectures/notebooks/Lecture 05 - Unsupervised learning.ipynb b/lectures/notebooks/Lecture 05 - Unsupervised learning.ipynb
index 6a8e65b..cae42ca 100644
--- a/lectures/notebooks/Lecture 05 - Unsupervised learning.ipynb	
+++ b/lectures/notebooks/Lecture 05 - Unsupervised learning.ipynb	
@@ -30,9 +30,7 @@
     "    \"xtick.labelsize\": 16,\n",
     "    \"ytick.labelsize\": 16,\n",
     "}\n",
-    "mpl.rcParams.update(params)\n",
-    "\n",
-    "%matplotlib inline"
+    "mpl.rcParams.update(params)"
    ]
   },
   {
@@ -112,23 +110,7 @@
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'threadpoolctl'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/w6/yrmcztx969j0r2f2v6yy3gp00000gn/T/ipykernel_25651/1892502968.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpreprocessing\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mStandardScaler\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mscaler\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mStandardScaler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mscaler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mmeans_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mscaler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmean_\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     80\u001b[0m     \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0m_distributor_init\u001b[0m  \u001b[0;31m# noqa: F401\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     81\u001b[0m     \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0m__check_build\u001b[0m  \u001b[0;31m# noqa: F401\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 82\u001b[0;31m     \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mbase\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mclone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     83\u001b[0m     \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mutils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_show_versions\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mshow_versions\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     84\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/base.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     15\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0m__version__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0m_config\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mget_config\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 17\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mutils\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0m_IS_32BIT\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     18\u001b[0m from .utils._tags import (\n\u001b[1;32m     19\u001b[0m     \u001b[0m_DEFAULT_TAGS\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/utils/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     27\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mDataConversionWarning\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mdeprecation\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdeprecated\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mfixes\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mparse_version\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mthreadpool_info\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     30\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0m_estimator_html_repr\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mestimator_html_repr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m from .validation import (\n",
-      "\u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/utils/fixes.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mscipy\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mscipy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstats\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mthreadpoolctl\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     21\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_config\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mconfig_context\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mget_config\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexternals\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_packaging\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mversion\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mparse\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mparse_version\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'threadpoolctl'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from sklearn.preprocessing import StandardScaler\n",
     "\n",
@@ -148,20 +130,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from sklearn.decomposition import PCA\n",
-    "\n",
-    "?PCA"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[2.48129526 1.66162933 0.70991635 0.12338667 0.08474801]\n"
+     ]
+    }
+   ],
    "source": [
     "from sklearn.decomposition import PCA\n",
     "\n",
@@ -180,24 +159,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'z_pca' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/w6/yrmcztx969j0r2f2v6yy3gp00000gn/T/ipykernel_25651/600308572.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0msns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscatterplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mz_pca\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mz_pca\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhue\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"best\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"PCA1\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mylabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"PCA2\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m;\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'z_pca' is not defined"
-     ]
-    },
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 576x576 with 0 Axes>"
+       "<Figure size 800x800 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -206,7 +175,7 @@
    ],
    "source": [
     "plt.figure(figsize=(8, 8))\n",
-    "sns.scatterplot(z_pca[:, 0], z_pca[:, 1], hue=y)\n",
+    "sns.scatterplot(x=z_pca[:, 0], y=z_pca[:, 1], hue=y)\n",
     "plt.legend(loc=\"best\")\n",
     "plt.xlabel(\"PCA1\")\n",
     "plt.ylabel(\"PCA2\");"
@@ -221,29 +190,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
+      ],
       "text/plain": [
        "LinearRegression()"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 576x576 with 1 Axes>"
+       "<Figure size 800x800 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -290,19 +260,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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       "text/plain": [
-       "<Figure size 864x576 with 1 Axes>"
+       "<Figure size 1200x800 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -348,19 +316,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 864x864 with 1 Axes>"
+       "<Figure size 1200x1200 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -377,7 +343,7 @@
     "    labels.extend([i] * 100)\n",
     "    data.extend(points)\n",
     "data = np.array(data)\n",
-    "ax.scatter(data[:, 0], data[:, 1], c=labels, cmap=\"Set1\")\n",
+    "ax.scatter(x=data[:, 0], y=data[:, 1], c=labels, cmap=\"Set1\")\n",
     "ax.set_title(\"True distribution\")\n",
     "np.savetxt(\"3_gaussians.txt\", data)"
    ]
@@ -391,19 +357,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/shyue/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/cluster/_kmeans.py:1416: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  super()._check_params_vs_input(X, default_n_init=10)\n",
+      "/Users/shyue/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/cluster/_kmeans.py:1416: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  super()._check_params_vs_input(X, default_n_init=10)\n",
+      "/Users/shyue/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/cluster/_kmeans.py:1416: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  super()._check_params_vs_input(X, default_n_init=10)\n",
+      "/Users/shyue/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/cluster/_kmeans.py:1416: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  super()._check_params_vs_input(X, default_n_init=10)\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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A6jVqLJFmRrxefIsWNduYNE3TEk4oCAufjRyUzm3G2sbF2+DVg2DDdxD0AFFms/esjO9Mt6bFiA6U24jgjp1gilANMBgkuHlTs42j+KGHkVVnkKPwzptP7tTTCe7a1eBrhNxuSh77H7vHHMzuMQdT8tj/CLndjRmupmlafPicEPRGfq2s4ffFRvv1cfC7iRog7+UthWf6wdYFDb+GlPDHG/DcIPhfZ/jsQija2pjRalqT04FyG2EedADSF2EhiM2G5ZBDmm0cgY0b67ejlPgWLiT3lKnIYLDe55ehEHlTT6f0hRcJbt9OcPt2Sl94kbyppyFDoUaOWtM0rZlZUyCpQ+TXOh3YfOPYsQhC/rr3Q0LBenjnqIYHud/fplI6cv9UHwJWvAsvjYDS3Y0asqY1JR0otxHGjh1JOuN0hN1eZaMRQ0oKyeef13zj6NK5/jsHg4Ty8/HOn1/vQ7xz5xL4+2/wVpmJ8XoJ/L0e71y92ETTtBZCCDjmSTA7qm5U3x/53+YbR/vBIBrQmyzkh8Uv1H9/Vz78/ozKwd5LBsFXBr89Uf/zaFqM6EC5DUl76EGSr7sWrNbKjQYD/nXr6jzWv3o1Bddex56jj6XozrsIbG3cY7HU226tHqwDwm7HNHxY5ANCIYLbd9T7/L4/liFdrrDt0uXCt2x5Q4aqaZoWXwdMhakfgj1bfS8MKgNi15K6jy3Lge9uh5cOhA9OgW2/Nm4Mh9wEJmv1bSYbdBgG5uTw/YM+1QK7vnJWqvOFnccLW/TkhhZ/OlBOMFJKAlu3Etixs+lPHgqpahJ7F/QFg4Rycsg/9/xac4G9C34l9/gTcX/+Bf5Vq3C+P409Rx6Nf20DboblHCecQNrDD2Fo3x4MBkRGBqm330byueciHI6Ix5iHDqn3+Y1dukQ8j3A4MHXp0uDxapqm1al0N+T/DbFI71r+NvjL1O9lEAIu+O4WWDcz+jElO1U5ud+fhF1LYc3n8PYkWPF+w6+f1RfO/x46DFGBuskGQy+AU95W46nJ7IDu4+t//rT9VHBdkzBARu+Gj1fTmpgOlBOI748/yDlkHHsOn0jOoYeRc+RR+DfUM6e3Hrzz5iFLS8Ju5jIQwPnhh1GPK7r9DqTbXXlcIIB0Oim+/8FGjSPp9NPouHQxnf9eS6eVy0m+9B84TjwBQ3Y2mM2VO9psWA4ag2XQoHqf237cFITFoh5b7iUEwmLBNmVyo8bb3GQwiPOjj8k96WT2HH8CZW+/HTm/XNO0+CrdDW+Mhyd7wIvD4f86w99fN935XQWw9ksI1FgA7XfBvP9EP27uA+ApqhKASnXMrGtUbeaG2u9guHI53O2Cu5xw/IvQYTDsf0L11BCDGWzpMPyi+p87szd0PQiMEWatD7m54WONl00/wnvHwYsjYPbd4MyN94i0JqID5QQRLCgg78yzCW7dqqpCeL0EVq8h75RTmyxICu7OgWCEGQ+fj+DW7RGPCTmdkTvllS+2aywhBMJmQ5QHtMJup93MGSSddy6G9u0xdu1KynXXkvX6aw06r8HhIPvzTzEPHAgWC1gsmAcOJPvzTzFEmbFONAVXX0Px3XfjW7QY/9I/KLn/QfLOOVcvRtS0RCKlWri2bYFKE/A7wZkDH01VdYebgisPjObIr5XUkpK2/jsIRQiIg34o3ND48ZisYKgSNpzyLky4DzJ6QVJHFSBfvhRsqQ0775mfQd/JKlg22SGls0o56TS88WNtTotehPePg79nwu4/4Nf/gxeG6mC5lWhAhr4WS67pnyADNW5sUiI9bjyz52CffGyNlyTuL7/E+e57SJ8PxymnkHTmGQhrjU/lVVhGDI9Y51I4HFjHRq58IaxWVVYuQuUJkZZWj3dWf8bMDNIfuJ/0B+7fp/OY+/Sh/XffEMxVNylju3ZNMbxm4VuxAu/sOWoGv5x0u/EvW4533jxs4xvwSFPTtNjZtRQKN4YHpAEv/P4sHPdc+DFbF8CC/6naxL0nwUE3QnL76NdI76FSEGoSRuh+aPTjktpBUYSnkSE/2DKiH9dQRhOMvUV97QtbGpz5KXiKwVsCKV2qB+SJzO+G72+tXu866AV3Piz4PzjykfiNTWsSLeRfYusX3Lmzeoe6ctIfILg7vERO0S23UnTLbfgW/Ip/8RJKHniQvDPPrrWUmnn//bEdeSRUXUxntWLs0hn7cVMiHiNMJhynTa2+ABDAbif50n/U783FibFduxYVJAP4fvs94t+hdLnw/tKI+qSapsVGyQ4wGMO3y2DkIHX5u/DOkSpfeNdi+PUJeGFw7SXQTBZV4aJqeoMwgiUZJtwb/bhDbgFzUvVtBgv0OLz2wDzebGkqZ7mlBMkAe1ZF/jAT9DVtGo4WNy3oX2PrZh01CpGUFLZdGAxYDhxRbZv/779xff5FteoO0u3G/+cqPLNn13qdjOeeIe2f92Aa0B9jzx6kXHE57b76staZ6PT77sU28QiwWhGpKWC1knT6aQkfKLdEhuxshDnCo1artcUF/ZrWqnUeGXkRmskOvSZV3xb0V2n9XP5UL+gFdyHMryXXGGDk5XD6dOh2qJphHnKeSm/I7BX9mAOmwrg71FisaerX/Q6BqY1YzKfVztFO/f1GktKpeceixYROvUgQtqOPwtSjB/716ytqAAu7HcvBB2MZOrTavr5ffwMRfg7pdOGdOw/70UdHvY4wGkm+4HySLzi/3mMTNhtZr7xMcNcuAtu2YerTB2NmZr2PjzUpJZ6vv8H53ntIjxfHqafgOG1q5IAzwdmOORruvidsuzAasZ98UvMPSNO0yFI7w/B/wLI3KmsAGy3gyIYRNSYR8tdFrhAR8qtZx2Ofqv1afY9VXw0x/h4Yc51qLZ3SGTJ6Nuz4WNuxSHX9K96qPliMuQ4cWfEeVcNl9IDOB8L236s3ZjE7WtZiRC0qHSgnCGEykf3ZJ5S9+BKuzz5XKQ/nnE3yhRcgg0H8K1eC0Yj5gAMwZGYijMbwhqIWC4YYzjoaO3XC2CnxPiEX3XEn7k8/q5hh9y9fjuuzz8j+YBrCGOHRaAIzOBxkfziNgksuJVRUpCp22G1kvvgCxuzseA9P07SqJj8NXUbCb0+p/NoBJ6mZXFuaWtDnLlQL0uyZkWefAZJimAphS4VuY2N3/sZa+QF8eUlla+ydS2HJK3DFH5AcpRthIjvjU/jgJNj1h1p8GQrAxIeh95HxHpnWBHSgnEAMSUmk3nwTqTffVLHNu+BXCi6/Arl3ljk5mcwXngNT+GypMBpxnHZas403EfjXb8A1/ZNq+d3S7ca/fAWeH37EfuSkWo5OTJYhQ+iw8DcCf61GhoKYBw5scQG/prUJQsCwC9TXXkVb4fkhqrqEwQQyBMc+Dd3GwdZ51QNmc1Lbm3UM+mHmVTUWv3lUh775j8Ixj8dvbI2V1A4u+QUKNoJzjyqdZwlPpdRaJp2jnMCC+fnkX3AhoYICpNOJdDpVg5ALLiLrrTcrmmuI5GREejqZr7yEqSEtolsB36+/RklDceL96admH09TEUJgPmAglsGDdZCsaS2FlPDu0ZD7lwoEvSWqFfOsa2DsbdBlTPW84UPvggEnx3vUzSt/XfUUhb1CPlg3o/nH05Qye8F+B+kguZXRM8oJzP3Z55Fr54ZCBDdtosPvv+L/8y/w+TAPGYwwtb2/TkN6OsJoipyGolMVNE1rTrv+UKXfauYj+92qw97Fc6FgA5TuUp3uGlpvuDWwZUSu8Qwqv1vTEkzbi6xakGBeXuSScT4fwfx8hBBYBh0Qh5ElDtukiRBhxlUYDaqsnaZpWnNx5ap0izASSneq32b2Vl9tVWpn1Ylv6y81Fr8lwcE3RT9O0+JEp14kMOvYsYgI3eSEyYT1kIPjMKLEI+x2sj+chqFDB0RSkkpDSUkh44UXMHXtGu/haZrWlnQZrcq+1WSyQ7/jm388ieq0j6DTCFUZwppW3q76Fhh4arxHpmlh9IxyArOOG4tl1Ei8CxdBeac24bBjnTgRy5AhcR5d/QS2baPstdfx//UXluHDSb7oQowdOzbpNSyDB9Nx8UL8y5cj/X4sw4YhLJYmvYamaVqd7Bkw/l8w98HKxWomG6R2gQNbSN15TzEseRnWfwtp3VTZtk7DmvYaSe3g0t8gdw2U7YKOw9SfnaYlIB0oJxjfqj8p/ve9+JYswZCaStIF52ObPBn39OlgNJJ01lnYT4n/4o+Qy0XZc8/j+vQzMBpxnHE6KZddWq1xiW/5cvJOOwPp84Hfj2/RYpxvvU27GV9i7tMHKSW+xYsJ7tqNZegQTN27N3o8wmDAMnx4U7w1TdO0+nPmwjc3qo57AANPg5PeUvWVnbkw4BQYdRVYU+I6TKSEP96A354ETxH0m6KC+qpNMVwF8NJwNe6AW3Wc+/ND9X4OKE9ly10DOcsho5dquiIirKaur3b91ZemJTAhZdgyqIQwcuRIuXjx4ngPo1kFNm9mz1HHIJ3Oim3Cbsd+0olk/O+xZh2LDIVUDd8IN0EZDJI75Tj86/6uaI6CzYZlxHCyP/qw4pg9x07Gv2Jl9YOFwDphPBn/e4y8089U7bmFQPr92E88gYz/+x+iJbUv1bQIhBBLpJQj4z2O5tQW79kEfPDcANU0Y+8CNYNZBZFXrQJjM85F7f1ZHi1w/foGWPpK5Uy3wazqO1/9FzjKG0jNvlM1AalZ89mWATfvgE/OVjPNe8veZfeH876rPF7TWqja7tk6Ikkgpc+/gKyxeE+63bg+/Uwt7GsG/j//IveEk9jZrQe7+vSj6K57kOVpH3t55swhsHFTZZAM4PHgX7Yc36JFatx+P/6Vq8IvIKWqDX3V1QQ2b1Zl78rKwOvF89UMnO/pFquaprUQa79QdXOrVnEI+dXCvfVfN88YnHnw8RnwgBXuN8N7U1Qt56pKd8PiF6vXLg75wVsMi56v3Lbm88iNUUIB+PYWFSQH3OArVd0Ic1bAl5fG5G1pWqLQgXIC8a9YCcHwNqfCYiGwcWPMrx/YsYPcU07Bt2QJSIn0eHB+8AH5l15ebT/fkqXVZr33kn4/vqV/qG+MRoiSJyzsdnzLloW9V+l243zjzaZ4K5qmabGXs1LVSa7J74I9ESYKmlooCK+Pg9WfqcBXBlUw++oY8FW5R+9epnKlawp4YNMPld/bo8wMh/yweroKkmtu/3sG+MOrM2laa6ED5QRiGtA/Yqkz6fNh3G+/mF+/7PU3kN4aswleL95ff8W/oTJQN3XpgrDbw44XFktFi2thMOA49VSokrMMgM2G46STEIbITTSkKzwA1zRNS0jZ/cGSHL7d7IDMvrG//obv1Ox11TJrMgjeUvjzo8ptqV0jN/kQxuql6g66QZVpq7lPx2HRW3BLGf01TWsFdKCcQFKuurLaYjhA5Zt5veQcPJaCG24kVFoas+sH/vwT/OE3U2E2V5vRtp94Aphr5N4JgbDZsB99VMWmtPvvxXrwQWCzIVJSwGrFNmkiqf/+JyI9LXwAZjO2yZOb6u1omqbF1oBTVHkzUfWDv1CpCR+fDm8eDnnrYnf9vDWRy9H5nbDnz8rvOwyCdgeovOSqTFYYc33l9wOnqioXJhtYU1XQ3G4gnPEp9J1c432WazegbTZO0dqMmAfKQojJQoi5QogyIUSJEGKxEOKIWF+3JTL37UvW++9hGjiwckHG3gUafj/uL74k7+xzqGsBZmDjJtzffYd//YaGXX/IkIjpEtLnw9y3T8X3hrQ0sj/+GFOfPmrG2GrBNHAA2Z99irBVPt4z2O1kv/cuHb7/jsznnqXDzz+S9dKLGCwWMp98Us1Km8tv3HY7xg4dSLnmmgaNOd4CmzaRd+HF7Oy7P7uGjaDk8SeQET5saFpLoe/ZDWC2wT9+gz7HRAgiJWz+GV49SFWTqI0zF9Z+Bdt+rbzn10e7A8AYIcXNnKw6/1V1zizoeQQYrWrGO7kTnPaxCqL3EgImPQw3bIFTp8HF8+DK5aoyxqRHwZGlakKDOo8lBU54tf7jTQTeUph5LTySCf9Jg88uUn/+mhZFTKteCCEuB54t/5qFCsyHAX9KKWtt6t4mV1BXUfz4E5Q98yz4qj/SEg4H2dM/wjJ0aNgx0uMh//Ir8c6fjzCbkX4/1oPGkPXqKxFTJWoK7tpFzuFHIMuclTdrmw3bYYeR9cZrkY/ZuQuMBowdOjT4PQa2bKHs7XcIbt2KdexYHKdNxZCUVPeBCSK4Zw85E45AlpRU+/OyH30Umc8/F9/BaXHVUqte6Hv2Ptg8F96brGZzqzLZ4YgH4ZAoXed+ug/mP6ICXhmCpA5w/veQ0bPua4ZC8OJQyF9Xmf4gTJDcAa77G8wR7vuufPCWQFp3aGiFIXchLH0Ntv8K2QNg5BWQ1oIaO4VC8PJIyP2rcibeYFapKdesVjPsWptU2z07ZrVrhBA9gCeBW6WUT1Z56dtYXbM1CaxdGxYkAyAEgY0bIwbKxY/+F+/8+eDxVFTP8P76G8UPPET6ww/WeU1jp060+/ILiv75b3y//YZwOEg652xSb70l+jGdO0V9rS6m7t1J/+c9jT6+sYK5uTjffU81QRk6FMfZZ2PMbHix+7I33lQVQap+2PR4cH/zLYFt2zA1Q165pjUVfc/eRwV/AxEmngJuVR0iknWz4JfH1KK6QPmCOL8L3j9OlZerq0axwQAXzYVvb1b1jkNB2P94OOapyEEyqFlhR1a931Y19gwYG/3nQcz43bDyffj7G0jvBgdeDtn9Gn6ezT+qv6eq6Sohv2o9/tcnMOTsphuz1mrEssjjxUAIeDGG12i1LEOG4Jk9B2qUiyMUwrx/5ALtrmkfhO/v9eL66KN6BcoA5n79aPfhtMYMuUXwr11L7oknqyYoXi+eH36k7MWXaDfzq3o3PJGhEL4lS/B8PzvihxlhseBfs1YHylpLo+/Z+6L9ICBCYGt2qMYckSx8JnwGWoagaLOa9Wx/QN3XtWfASa+rr9bIU6KqeBRvU39WBpMqdXfaR6ppSn3lroYV70EgQk63rwx2/6EDZS2iWOYojwPWAGcKITYIIQJCiPVCiKtjeM1WI+nsszDY7dUfjVmtWA48EPPAARGPqVnvuGK7x1NnXnNbUXTHnRV1mwHweAgVF1P0r3vrdXxgyxZyxo4j/5zzCKxfH3knvx9Tzx5NMl5Na0b6nr0vuoxW1SGMVR7fC4OqijH0/MjHuKPkLhtMqpW0pjoJFm2u/EARCqhZ988uUDPodfG54O2jVMrFqg8iV/8wJ0HW/k05aq0ViWWg3BnoCzwGPAIcBXwPPCuEuD7SAUKIy8oXjizOzW3byfWGjAzazZqBbdIksFoRaaqdddab0WcNLGPGRHxUZxmpZjN8f/yB+/vZBPPzYzbuRCaDQXyLl4QvlgmF8M6bW/fxUpJ//oUEt+9QdaQjLdqzWLCMGom5T5/w1zQtsel79r4QAs77Fg68VFXCMNmh/0lw2eLoVSEGnFq5OK4qKaHTCMj/Wy3yy/87pkNPaH9Nr0xLqSrorV7ZI5rvboat81RwXbMONKgPM2YHDDpz38eqtUoxW8wnhFiHuumeKqX8tMr2r4HhQCdZy8Xb/MKQRvD//Te5x5+I9HpVSoDFgrBYyHzxBYr+9S9COXvAYED6fCRffRVpN0dZXNJKSSnZ2atP5HSJ1FQ6r679putfs4bc409AuiLP3GOxYD/xRNIfeqBFLUrUml5LXMyn79lx4C2DV0apFth+lwrajFY49mnVJW/TD2A0Q9APPQ+H0z9RlTbaklcPUYsHazLZVR53Zq/ox0oJDyVFDpBBVSrpfqiq3FG1nrTW5sRlMR+Qj7rpfl9j+3fAMUAnYGcMr98qeWbPofj++wls3IQhO5uU668j6cILEEJg7tuXDj/9QNlbb+Nfvhzz4MEkX3ABeeefT3DzFrXit5zzxRcx9+lDcNcuPN98iyErk+SLL8Y69pA4vrvYEkJgP+lE3J9/UT1YtlpxnHFGnceHSssiNoQBMA0ZQvuvvkCYYvlfStNiSt+zY2HPnzDrGtgyT9UnHn4RHPlftdjOmgyXLYFlb8K6GaoM26irYfnbsGlO+SK/8iBv0w/w/e2w38Hwx+uqsciwC2Hw2RClgVOrMPoatRiyai63MEBWv9qD5L0i1ZkGVR3k7jJd6UKrUyx/qv8JHBRh+97cgFCE17RaeObOpeCKKytykUO5uZQ89DDS7SblqisBMHbsSNrtt1Uc41+/ISxIBpAuN4U336I+ce+tkPHzXFJuu5WUyy5tpnfU/NLvv4/Axo0E/voLDEZkIIB11EjSbr+1zmMtgwdBKMKEms2G48QTdJCstXT6nt3USnbCa4eo2r1IFewtfVWVczuvvJiIxQGjr1Jfe705ITzdIOCBRc/BH69VBo3bf1cd+M76su4KGS3V4LNg2y/qw8Hehin2TDjzs7qPFQK6HqyOr/4C9Jygg2StXmKZo7z3X/HRNbYfDWyXUu6O4bVjQvr9eBcuxLtoMTIQaJJz+levJu/Ci9k1bAR7jjteVbqIouTRx8IW7Em3m9Knn4k6HllaEnUWFI+nWpUM6XZT8uh/CZWUNPyNJADP7DnsOeEkdo8cTcFVV0dsuGJISaH9F5+T/eknpD/6H9rP+JLsD6bVq860sNlI+8/DCLutcpGl3Y5pv/1IOu/cpn47mtbcWt09Gylh1zLY+EN5sNoEnLkw82r4v67wzP7w2zPRF5Uter68ykKVD9gBj5pdzl0T/Rp+V+TtMlh9ZtXvhE0/wpa611gkpJyV8MEp8Ph+8MYE9fdUkxAw5Tm4Zg0c/7L6UHD9xvrVmQY47gXVGGXvIkujVXUdPPaZJnsbWusWyymwWcCPwEtCiGxgIzAVtUDkohheNyY88+ZTcPkVEFQ3RGGxkPnaK1hHj270Of1/rSb3xJMqavGGcnPJv+JK0h98gKQzw1MBqraRrkp6vYRKSjBmZoa9Zh44MPLFhYjYAUqYzfiWLcN22GEE9+yh9Nnn8Pz4E8asLJKvuAz7Mcc07E02E+d771P873srPki4v5qBZ/Yc2s2aiblPeO6ZZfBgLIMHN/g6Saeegnn//XG+9RbBnD3YJh2B47TTVIUSTWvZWtU9m8LN8N6xULJd5aIGfXDU/6rP3DaUpwReGgFlOZXVE+bcATt+h1PfDd9/19LIj/6NZshbDe0il/qk2zjY8nOEFwRhtZr9Ttg4B3qMV0H5wmdVKgcChl8Mo64CU4TuffG26w94/dDyDwVS/T1NOx5OfB0GRUiFS++uvhqqw2DVTGThc7B7GXQ6UP0bSGl8DwCtbYl1Z75U4D+om20GqvTQI1LK9+s6NpEWhgTz8sg56JCw2VyRlETHxQsxpDauz33e+Rfg/eHHsIBVZGTQafkfiBozwXumHI9/2bKw84iUFDqtWhH10b/z088ovu02pNenUjD2lp1zucKv7XCQ/el0jJ07s+eISYSKiyuqOwiHnZRrryXlumvr/R6l10vp00/jnPYh+HzYjjqK1LvuwJidXe9z1HkNv59dQ4apDnlVGQzYp0wh88Xnm+xamlYfLXExH7SeezZSwrP9oWC9qku8l9kB534L3cc17ry/PQ2z74RAjRlfk618YVmND+Vz/gkLHgsPlk12uHxp9EA5ZxW8PlbNPgd95W2qDWqCo+bCNJNNtZcefQ28dTjsWFS5j9mhUg/O/77+qRlSqhzpeQ+Dcw90HqVyqjsNq9/x9fX2UbCxZjo8qrX2zTtabyqJlpBqu2fHMvUCKWWJlPJqKWUHKaVFSjmkPjfcROP+4ktkKDw9T0qJe9asRp/Xv2x5xFld6XYTilBqKfX228JSBITdTsr119WaH5t0yslkf/4ZjtNOwzp+PGl33aHaWttqrJ42GDB06oh50CDKXnlVpWBUKYEmXW5KnnqaUGn9H2HmX3ARpS++TCgnh1BhIa5PPiH32CmEXFEeLTZCcOdOiJR6EgrhXbSoya6jaa1da7lns+sPKN1ZPUgG1eFt4T48ct/8U3iQDCp3dueS8O2jryrPg60S9Jls0P2w6EEyQIdBcPVfcNCN0OtI9evlS1R95ZqEUZU22/SDmsGuGkj7XbD9N5XqUV/zH4GZV6k8ak+RCmZfH1e/UmwNsTPKvdmdr1pla1qCiGmg3FoECwoqG1RU5fcTKixq9HmNnaI/+jGkpYVtsx12KJkvvoCpd28V1LZvT+o9d5N8xeV1XssyaBAZj/+P7PffJfnii7Eddiip/7wHYbMhUlIQDgemXr3Ifu9dhBB4586LXEbNbMa/enW93p9vxQp8ixdX7xYYCBAqKsL12ef1Okd9GDIzkcHIOYL70mJb07QWyl2gKiOEkWqWtLEy+1YuKKt53rQInThTOsElv0KPCSqgtSTDgZfVbyFaahc48hE4/zv1a/uBcO434Gincm6tqWpR21lfQHJ7tWDNVxZ+noAnwmK2KPwemPtQeI50wA0/3Vu/c9RXcsfI2w0m9eekaQlCL9OvB9uh43C+/AqyxiyoMJmwjhvb6POm3HAdhddeXz2lw24j6fTToy4us02aiG3SxEZfs6rkC87HMfVU/MtXYEhLwzRwAKL8cZexS2f8K1aEzXhLvx9j+/b1Or//z78ibpcuF/4lS+GcpmkXakhJwX78cbhnzKwWlAu7ShXRNK2N6TJK1R6uyWSH/U9s/HlHXakqT1Tt7mYwQVp36BqpYAgqwL0wwiK1xuh2CNyyC3YsVLPlXUarfGeAlM6qw1zNlthmu3qtPoq3RE55kCGV0tGUDr0LZlxRPSg3O2DEpYmZU621WXpGuR4sY8ZgHTcO4XBUbBMOB7Zjjm7UgrC97Mceq2Z1U1NVYGyzkTR1Kmn33dsEo64fQ1ISpv79KX3lFXb13Z8dvftScNXVOE4/PTw1w2zGMngwph496nVu0377VW/BvZfNhinCArt9kfHoI9iPm6K6GDociJQUUv/1T+xHHdmk19E0rQWwpcHEh1XgtZfJDmndYMQ/Gn/ejB5wzixI76lSKIwW6D4eLpjTfDm1BqPKG944B/6vM9xvgdfGqbrCkeopG0yqA2B9JHdSLaIjyWzibqNDzoUJ96rZY0uy+vMccj4c9VjTXkfT9lFMF/Pti4RaGIJqf+z+4ktcH30EBgOOM8/EftwURKRAsKHn9vsJ5uRgyMzEUCUYbw4yGGTP4RMJbN1amY9sMmHs2JHkm26k5N77IBisqDec8cILGDMz6nfuUIg9E44gsGVLtRxikZJCh1/mYczKAlRqi+f77yEksU2aiLFdu0a/n1BJCaGCAoydOyMselZCi4+WuphvXyTaPRuAzT/D70+rdIsBp6jZSmsTPNaXUuVAm+zgCK82FHNf/ANWTas+G2tJhpPfhm9vBmeOGmNqFzh9OnQcWv9zf3kZrHivei622QFnz1S1h0GlaKybAa5c9UGhfZTqSvUR8KqKF0ntwZrS+PNo2j6IV2e+VkUYjThOORnHKSc3/bnNZkxduzb5eevD88OPBHfvrrZoj0CAUGEhBpuNTiuWEdi4EUN6OsYOHRp0bmEwkP3JxxTedAveefNASsz9+5Px+P9VBMnOTz+j6JZbKyp8FN19D0mXXIx/6R8E1q3D1LMnKbfcjO2wQ+t1TUNqasQqJCGXC+f70/B88w2GrCySL74I65gxDXo/mqa1MD3Gq6+mJoQKQuOhbI8KZIM1GpL43bBuJly/QVX7QKgqHA2d6Z78rJrdXfqqqtvsyIZjnqoMkncvh7eOUKkte2ef+xyrFi1umgO2dLX4cOTl9bu2yRq5fXQoBKs/VQ1WZAiGXqDKxrXmLoRaQtIzyq2M9Pvx/PADwV27sAwfjmVo7TMJpc89T8mj/62oD11V8vXXkXZb3R3r6iPkdoPfXy2IDebksPuQcdUX+0UgbDbSn3sWy6ADKHvxJXxL/8C0fz9SrrwCc79+dV/b5SL32CkEduwAtxuEQNhspN51B8kXX7zP703TatIzylq9SQnbFqhKHRm9oM/RtQeDWxfAu8eAL0L1oY7D4YqlTTOugE8tDrRnVAa8UsKTPVUuc5gqNZ7NDpXicsSDsOgFFfA6suGg66F3PdPhPj0PVn9WmXNtTlLHnvGpLh2nNTk9o9xGBDZvJvfkU5EuF9LvRxgMWA4aQ9brr0VNQzB26xYxSAYwZjVdrWOD3a7qN1fh/vrreh0rPR6K7/knsrQU6fFAIIB/1So8X80g6523sB58cK3HO9+fRmD79sqAXEqk203xQ/9RzUJS9OM+TdPiwOeCd45SjTBkUFXUcGTDxfMhNcoCvIxekatbgApqm4rJAqYaaSU5K8CVF+WAKpNufhcsfkmlZ5TurGzHvflHGP8vGHd77dfeuVQF11VTS/xO2PA9bJ0P3ev3hFHTmoJezNeKFFx5FaG8PGRZGXi9SLcb76+/Ufba6xH3D+7cRfF/oy+cCBbFuJalz68er9VDaNcu9b725joHg0i3m6I77qzzWM8330SctRZmM74/ljVkxJqmaU3n5/th1xIVBAY8apa4eCt8fmHk/f0e+Pp6wrrz7eUuitFAywX9UcruRSAEFG+vDJJBBb4/3Vt3neRNcyJXLfG7YOPseg9X05qCDpRbiWBODv41a8MDT48H5/vTwvaXoRC5p51GaPPmqOeU+flNPMrqbEdO2udHaIFNm1VaRy0MWVmRrxMMYshI36frRxMsKMT1xRe4Z33dpM1VNE1rRZa9WT2QBDWzvPkn8DnD9595Jaz9Ivr5fCXRX2sKHYeVdwmsh6APQuG1+DFaVXm72tgzI1/HZAV7Vv2u31ABL6z9SuV/l+6KzTW0FkkHyq2EDASjB53+8E/mvt9+J5SbF3VGVzgcWA9tZJvXcu4ZM8k5bAI7+/Rjz9HH4plbvTuUqWdPUq65WpWhMxjUl9kMNVp3C7sdkqOsVDeZEOZIDQAqJV98UeQuhB1VF8Km5nzvfXaPHEXRbbdTeONN7B46HM/PPzf5dTRNa+GilWIDCNVIifOWwqoPwtth72UwQ+9j9m08O5fAGxPgoSR4ojssfL56LX2jCaZOUznIRqvaZnaEzzIbraoxChF+JoUCKr2kNgNOjfzzTBhUF8Kmtn0h/K8TfHququ38ZC/VeEXT0IFyq2Hs3Alj5wg5bSYTxm7d8C39g6oLN4O7avnEbDRiGjAA25GNr0Hs/OhjCm+4kcCGDUi3G/+qVeRfdDGeuXOr7Zd6041kf/E5yVdcTvJll5L92aek3nE7IjkZbDaEw0HS5ZeRcv21YTnOWK04pp5aa/tuAOuYMaTedYc6X3kXQmOPHmS/905Fg5Wm4l+/nqJ//VulvpQ5kWVlSJeLgksubVDrb03T2oCBUyN0+hOqa93mnyBYJZCO2m2wnC0dDq07FS2qPX/CG+Nhy88qxaF4K3x/K/zwr+r79T4Srl2nco1HXwOnToMzv4TU/cprS1th/+PhlPdUs5Nqb80AqV2h04jax2JPV/Wq7VmqA6E1Vb2/Mz9XXQibUtAP700GTyF4S1T+d9AD8x6GLfOb9lpai6SrXrQivuXLyTv9TGQgUJmTKwQYjQizGeu4cWS++jLCZMK/YSN7jjoKPDVmJwwGbMdNIfOJx8NnYevgXbSIsudfILBtO4HNm1WFiRrMgw6g/bff1Hku6fcTys/HkJmJsFiQwSBFd92N6+PpCKsV6fVimzCBzOeeqehiGMzLI7B+PaZu3SO2rg6VleFb+geGjHTMgwY1eZAMUPzofyl7/oVqdaMBRFIS6Y/8JyblBbXEo6teaPXiyoeXR4EzF/xlVFSOECYVZCa1h0t+geQOKmh+rB14isLPk9UPLpqr9muIgo3wy6Ow7TcVKJZsJyz/2WSHW/fUXX9aSijLUfWc9+679DWVU20wqhny9B5wzkxI765e97lg11KVahGpFnMwANt/U+Xh9ju4sgthU9rwPXw0VQXJ1QgYeh6c/FbTX1NLOLrqRRthGTqUDr/+guvj6ZQ8/gSUlambVyCADATwzJ+Pc9oHJJ93LubevbAfeyzub76tDGgtFoydOpLx+P81OEh2ffY5RbfeVr0ddwT+9RvqdT5hNmPs2LHye6ORjEcfIfXWWwj8/TfGbt0xdVEz6DIYpOiOu3B98kllEH3EEWQ++3S192FITq53PebGki5X5CoioVBYC3RN09o4RxZc/Rf8NV3NYOatBSTIgFrYF3DDzKvhjOkq7eGo/8HX11VWgxAGlfpw5hcND5L3/AmvHqzqL8taUkAMJijaDB3qSFMTAlI6Vt824hIYdJZasGjLgPYHVKZULH4Zvr2pMojO6AVnz4D0bpXHG03Qfd9SAOvkj3ZfltGri2htik69aGWMmZnYjjgcESn32O3GNa1yYV/GU0+SdvddmPr1w7hfV5Iuvoj2s2aqUm4NIAMBiu6+p84gGagIbhvLmJ2N9eCDq52n7IUXcX32mUp3KCkBrxfPDz9QfN/9+3StxrAffXTFDHdVMhTCevjhzT4eTdMSnNkGQ89VqQ7UuG+HAmrx3t77+YhLVKe9/caqVIeBp8Nli6Fd/4Zf97tbVSBYW5AMEPKrdInGsjhUObcOgyqD5K0L4NsbVbUPb4n6NfcvVR+6uZ9y95gQucKGOQkOOL15x6IlJB0ot0ZR6iKr16rciIVQi+dkCOn1IYuL6xXs1hTYsjXigsGahN1O6q1N08CkqrLXXg9P8/B6cX70MbK2P4sYsBx8ELajj0LsbUVuMCDsdlKuu3afPyRomtaKySilMmsGjntzmoO+yrzaxtg6n6hl5vYy2WHo+SpnuCn9/rSaya5KBtWHhd3Lm/ZadbGlwTFPqvcqyheSW5Jhv0PUokKtzdOpF62QqV8/RGpq+KN+mw376VMrvi2+55+4Pvq4Ijh2fTwdz3ff0/6nHwgVFlH6zDP4ly3D1LsPKdddE7XLnyEjXeVFR3zRAEJgyMgg9a47sR9/XJO8x6pktEVyPp8K4I3N1/JUCEHGM0/j/fln3F/OQFgtOE47DcuI4c02Bk3TWqD9T4TV06tXwhDG8k595XNaf30Cn51fmS6w4VvYOg/Onw1Z+8Ovj8Oaz1XO70HXw4BToldDsmdG7u6HUF9mO4y8Aib9pwnfZDlnDhGDdIOploYmMTTyMpUDvfQ19eGj/8lqQaJul62hA+VWSRgMZL74AvnnnKtmVD0eRFIS5kGDSD73XEDVXXZ+8AF4q9S5DAQIlZVR8tj/cH/yqeqCFwwSWL8B788/k/nKS9gipA8YMzOxHnYY3rlzVXC6dxx2O+lPPo7tiCMQdntMFs8BWEaPwjt3XtjMi6lvnwbnWjcFIQS2CROwTZjQ7NfWNK2FOvZJ2P4ruPNVSoQlGSwpMOUF9bqU8M0N4Tm1fpfK9S3brer/7i0ft2up+poYpczZITfD7Duqn89kg6EXwNGPq5rFsQoU+x0H239XOdhVBb3QOU5rYDsMVn8HmlaDrnrRigULCnF/8QXBnBysY0ZjHT8eUT4z4fnhRwquujribKxIS0MWF4dtN3brRocF8yMGvKGSEgouvwLv7wtVlQq/n9Trr8N+ysm4vvgS6XJhnzgR8/BhTV+Sbe1ack84EenxqmoTRiPCYiHrvXewjhmD54cfKXn8cYLbtmMePIjU22/DMnhwk45B06rSVS+0Rgl41axxzkpoNwAOOK2yxJq3DB7NiFx72WhRs881A0+TDW7cCkntwo8JheC7W2DxC6qkW9AL/Y6Hyc+oWemizdD1IOg7RS2qa0reUnhxBJRW6dxndsCE+2DsLZCzCn64W1W8SO0Kh90DA3TFIC12artn60C5jfKvXUvulOPDc5KNRvWoLlIqhclEpz9XYojW/AMI7NhBKGcPpn598Xw/m8JbblU3ZL8fYbNhP+kk0h97tMmD5cC2bZS98CK+Zcsx9d+flCsux9yvH2XTplF89z/BW1kGT9jtZH/ycdRUEk3bVzpQ1ppcKAiPpEeuxGCyhwfJoOoPnzoN+k2Ofl53IeSvg7Ruqkzdm+NV/rPfpWa1M/vARfPqLg/XUJ4SWPQCrPlMBfJjrofek2D3Snh1TPX3Y3bAkY/B6KuadgyaVk4Hyi2E9PsJlZRgSE9HNENe7Z4TTsS/YmW1hXjCbkekphLKyQk/wGaj89rVdTb4AAgVF7NrxMjKes57z+9wkPnaqzEv0wZQ+uJLlDzwYMTXLOPG0e7D8NbemtYUdKDcRoRCqhGINUWlKsTanHvgtyeqp0uYHdBxBGxfEL4g0Jyk6it3rqPBx17PDYLcP6tvM1rhkFtgYuR7aZPaOAfemxK5+6A1DW7LjU0tZa3Nq+2erateJAAZClH86H/ZNXAQu0eNYdfQ4ZS9+17Mr5v91ptYxx+mKl/YbBg7dSLztVdIue6a8BJnNhtJZ55RryAZwDt3XsR9pcuF6/PPm2D0tXN/+y2l//tf1Nf9K1bEfAyaprViKz+Ax7vA413hkQyYdW3kMmNN6fD7YOSVagbZ7FA5zBPug2OfVmkWVQkjZPSETvVcSFy6CwrWh28PemHFu/s+9roUb4NpJ0Zv0R0KqH00rZnpxXwJoOSx/1H2yqsVJc6k10vJvfdhTE/HftyUmF3XkJFB9ltvEiouRjpdGDqpYvGhMieG7GyC27eDxQwS7JOPJe1f/6z/yaPNiAvRLLPlpc+9gHR7or5u7NQx6muapmm12jgHvryk+szu0tdUoHz8i7G7rsEIR/8PjnhApUkkdwSTBXYsgg7DYMfvKkAWBrU47czPo1e9qKm29tjNUf3hj9cj51/vJYORc601Lcb0jHKcyUAAZ4Q6wNLtpuT//q9ZxmBIS8PYuRNCCIrvupuiG24kuG1beRUJgXnQIDKefAJhDX+0GNixE//q1cgadZSt4w+LWM9Z2Gw4psa+NmUoZ3f0F61WUm64IeZj0DStlfr5gfDqEwE3LH9LLVSLNbNddbAzWWDVR/DmBFUxQwZVdTdrMpz1JaRGqN3uKlC1imuOM7mD6pxHjcDaZIdhF8XojVRRtCX6bLLBDIPPUSkumtbMdKAcZ7KsDFmlpFpVwV21BHsxENi4CeeHH1Wvv+z1ElizBs/s2dXHlptL7kmnkHPoYeSeeDK7hg7H9dWMitcNSUlkvPC8ynm228FiUekbF16AdcyYmL0H6XZTcO11BHfuirpP6p134Djh+JiNQdO0Vq5wQ+TtBhOURVjfESvBAMy8sjxoL19vFPSBp1i1xK62rx++uAT+rzO8cRg81h6+v6N6Wc2pH6hZW0uKCk4tydBllMpRjhUpYf6jsPL96Pv0PwmmPBe7MWhaLXTqRZyJ1FQMaamE8vLDXjMPGNCsY/H++ivCYAgrAy9dLjw//oT96KMrtuWdcx6BtWshEECWV5QouvEmTD26V5Resx85CcvC3/HMmoV0ubAecQTmPr1j+h4Kb74F97ffVrZ8rcpmI+2B+0k++6yKTSGXi7LXXsf92ecIm42k88/FcfrpFWX0NE3TwnQeDSU7iNg0I22/5htHwXoVGNcU8sPfs4CnK7fNvgNWTlOztntnbhc+o8qvjblGfZ/VV5WTW/O5ygfuMlq1n45RDXxApVz8fH/k2WSTA/qfCFOrBNFSqqB64bNqVnzgVDj4RtVhT9NiQAfKcSYMBlLvvpuiu+6uln4h7HZS77qzWcdiyMiInFtsNmPMzq741v/XaoIbN4aVkJNeL2WvvU7mk09UbDNmZpB07jmNHlNw5y5Kn3sO7y+/YOzUmeSrrsR26LiI+4YKC3F//U21pid7ifQ0sl5+GevYQyrH6/eTd9Ip+DdsqKjOUXzPOry/LCDzmafDzqFpmgaoRXUbvgW/s3Kb2QET7m2e6hd72dKjLyB0VN6zCQVh8UvhJeT8Lvjlv5WBMqjxDzqj8WPyuVQQu/I9VTFj5BUw7MLK7oI1zftPeBoLqJzpKc+qBihVzboOlr1R+Wc/fwOsmgaX/wEWR+PHrWlRtJpps8COHXh++onA5s3xHkqDJZ1+GpnPPYNp4EBEWhqWg8aQ9cE0rKOat7qU7YjDIwbKwmjEccbpFd8Hc/dApOoXoRDBbdubbDzBnbvIOfIonO++R+Dv9XjnzqXgootxvh+5rFswLw9hjlw6yJCaWi1IBnDP+prApk3VSthJtxv3rK/xr1vXZO9D07QIPMWw4XvYuSSsq2bC6zAILp4PvY8GWwZkD4DjX1Hd7ppTSkfoNk6lSVRlTqo+loC3srFHTe7wp5mNFvSrtI6f7oWcFbBzEXx9HXx2XvRjyqKkyQkDDDyteoBdtBX+eLX6B5SgR83ur3inSd6CptXU4meUpd9P4XXX4/72O9URzufDOm4sWS+9GF7iLIHZjz66WmpDPAibjeyPPiT/gguQpWXqcZsQZDz9FKb9Kh8nmgcPjpxXbbNinTC+ycZT8tRTyLKyajPX0u2m6N57cUw9FWGxqG2BAAQC1cZYjcGAZdSosM3e+fOr52OXE0LgW7QYc79+TfNGNE2rbsHjqvOa0aJmO1O7wLnfQkaPeI+s/joNg/O+ifco4LQP4f3jYfcy9ecZ9MLBN6mUhL0sDkjvETm3usvophvLms8hf231mWu/U3UbHHen+oABKjUu4FGLEjuNgK3zw8+V0hksSdW3bf+t/ENBjaDf74QN38HIy5vuvWhauRYfKJc+8STu774Hr7ciV9b7yy8U3/8A6f95uI6j27ZgQQHOt9/Bt2Qp5v77k3ThBVgGHUDHRQvxr1iB9PmwDBtWEZDuZczMJPnyy3C++lploGkxY8jIJPn8WmYOGsg7b37kDoFOF4W33EraQw9SfM8/cX/5FQQCmAcOJOncc3C+/U5lx0GDAeFwkHrjDWGnMXburBYZ1gz6jUYM7XQZIk2LiU0/wo//VIHS3lnOgvXw3rFw9V+xzYdt6QJelZ+75nOVWjHySugyEv6xAPLWQulO6DgM7Bnhx055Dj48BfxuQKoZW5MdjmrC6kqbfozcOTDohQ9PhsuWwsKn4ZfH1H7JHVVwu2tp5bhA5SYf82T4v4XkKGU9DSbVWVDTYqDFd+bbNWgIocLC8BdsNjqvX9fkrZJbi8DWreROPo6Qy6XaO1ssCLOZ7I8/rFdrZyklnpmzKH3lVWRhIbajjyL5yiswZmY22RhzTz4V38KFEV8TdjvG/fZTqTZVAl2RlETqv+7BNe0DgrtzsI4ZTcrNN2Pu3SvsHMGdu8gZP6H6rLIQGLKz6bjo96hpHJpWF92ZrxYfnKwCvZrMSXDJL9BRt5aPyO+B18dB3ho1gyoMqsnI0U/AyMvqd47tC2HuQ5C3GjqPgsPuhvYDm26MPz8Ecx+IvDDPYFZBfO6f4Z0FJz6s0nB2/6FaZo//N/Q6IvwcoRA83QeKt1TvQmh2qBzlbP0UUGuc2u7ZLX5GOeRyRn7B61V1fOvZSa6tKb7/QULFxZXVIXw+pM9H0W230/7buh8nCiGwHzclpg1RUq6+ivzly9XfZQ3S7Sawfn1YdQvp9xPcspV2M77C9/vvBLZsQUb5N2Ls3ImsN9+g4JprkGVOCIUw7rcfma+9qoNkTYsVZ27k7QYjuCNMemjK8rdUgLs3yJQh9ftvboDBZ6vayXXpOhrO/iJ2Yxx+Icx7KPJrIb/KWa7J74Jlb8EVSyF3NWz/XTUeCQXDG50YDHDhj+rDVt4a9brJBie9qYNkLWZafBRpHTNGPaKvMTNuHjyo3u2W2yLv3LkRS6j5V69But0Jkd9tmzSRpPPOxfnqa/U/yOfDt2IFeyYeqToLSglSYh4xnOy33gx7X9axh9BxyWIC69YhrFZMPXs28bvQNK2a/iepR+01KzCEAtC5TU3CN8xf0yNXhzCaYdsC6HNU84+pptQucPYMeHtiw44r3ATTz1ZPGoRBfdkz4MKfw/PW07uroLpwk0rfaDeweToHam1Wi696kXbfvYjkJJVrCmAyIRwOnZ9cB+GIUkbHYIjbLLx/w0aK7ruf/MuvwDntA6TbTdrddyFSInRjsloj5zJarQR35xDYuBHpdCJdLqTbjW/xEkqeeDLidYXBgLl/fx0ka1pzGHmFyic17f3QKtSj86P+r36zom2VLULeMajJAGtq845lL1c+zHsUPpwKPz2gmq30OgJ6HE5Yhz9hABHlZ4sjE9Z+oT48+Z3gK4WS7fDxadGvndFTtenWQbIWYy0+UDb360eHH34g6ZKLsRw0hqTzzqX97O+wDBsW76EltKTzzgWbrfpGiwX7ccfFJe3AM3sOuUcfjfP1N/DMmEnxv/7NnmMnI30+0v/3WHjZumAQ85gx1d+DwYCw2Qhu3gw1Wmrj9eL64MOYvw9N0+pgTYbLFsPE/6iAatAZcN73MOqKeI8ssY26Sn2gqEaomdemrFxRXwUb4Jl+8PN9sPoTmP8wPLM/7PkLjntBpURUJUMw8NTw92CyqzV8NWfLZQj2rCpv7KJp8dPiA2VQuabp99xNu0+mk/7gA5i6d4/3kJqFlBL/2rX4Vq1CBoMNOjbl2muwTZgAVisiJQVht2MZOoT0/0TJL4shGQhQcMONSLenosqFdLkIbN1G2auvqVzqmrPcgQCh3D2kXHE5hqwshN2O7chJZH/6SdSarNFahWua1sysyXDw9XDhDzB1GnQ7pO5jWouirWpRnS/K+ppoek6Aw/6pAlBrqmozndIZzv0mejOPWPr6evAUVabQBDzgLYEZV6ogN9J9eO2XcNTjasGeyQ6dRsI5s6KPXxjKq2FoWvy0+STewI6dEPBj7NatRVXI8K9ZQ/7F/yC0Z0/FTGrGc89G7VpXk7BYyHrtFQKbNuFfvQZTjx6YBzZvy+y9AmvXReymh9eL+6sZaoY7woK+0LbtOE6bSuqtt1Tbbh48GP+yZdV3NhqxTWpg3pymaYnHmaeaZGT0Uvm5LYW7ED6aqvKJjRaVk334A3DITfU/x6F3wIGXwpZ5aia526HxCZIBNs6uXnkCAAnb5sPyd9T7q8lgBLMNrvu7+vYDzoAF/wuvlmHPgszeTTpsTWuoVjGj3Bj+DRvJmXQkOYcexp4jJpFzyDh8NYOrBCW9XvKmnk5wyxak2410Ognl51Nw8SUEd+9u0LlMPXtin3xs3IJkAJHkUBVKIr2WnIz0RSg1BGAwRJwlzvi/xxCpKZVpGQ47hqws0u65u6mGDEBg4yYKrr6G3aPGsOeEE3F/P7tJz69pWhXeUph2IjzeFV4eCY+1V9USWorpZ8KW+ZUzr36Xqie9dkbDzuPIggEnQY/x8QuSITy1Yi+DGYI+kBHu6TIUuUPg2NtUzrG5vMGI0ap+f8o7TVtX210E390OT/aCZwfCb09DMEJAr2lVNNv/MiHEN0IIKYR4sLmuGY30esk7+RQCa9aqRiUeD8GtW8k74yyCBYlfnsgz5wdkzRxcVAqD8+PpcRjRvjH16IGxZ8+wm75wOEi+6ALsJ52kFu/VIFJSMPXpE7bd3L8/HebPI/WmG7FPPZW0e+6hw7yfMXasXqxeSkmotDTin2VdAhs3sefYybi//Irgzp34lyyl8MqrKHvr7QafS9MSVSLdt5l+Jqz/Vs06+srUY/+ZV8Gmn+I9srqV7obNP0Ooxgd7vwsWPBafMe2r4ReBsUawbLSqUnUDTlFd92qSIeg7OXy7LVXVQZ7yPAy9QHXxu2aN+jBQk8+lako3lN8Dr4yG35+Cok2q1N6cO+GTsxp+Lq1NaZZAWQhxFpAwVeQ9389Gej1hOVQyEMD16afVt3k8BLZvR3oa8R8zRoK5uaptc00+H6EGzigniqzXX8XYuTMiOQmRnAxWK47TpmI/8USS/3EJ5j59Kit1WCwIh4PM555BRJlRMWZlkXL1VWQ+9STJF5yPIbn6anrPDz+Sc/BYdg0aws7+Ayi66+6Kzo71UfL446pRSZUSe9LtpuQ//9G50FqrkFD37ZKdsOmH8Efzfhf88mj1baGQygP2FDff+OriylPpFpGU7mresTSViQ9Dt7FqcZ4lRc0Adz4Qjn0K9jsYhpxbPkMsQBhVTvLh90PafpHPZ7bBsPPh5Dfh8H9DWtfqr+ethdfGwiNp8J8UeOcY9e+ivv78UHUurPpvyO+CdTNhz58NffdaGxLzHGUhRDrwBHAj8H6sr1cfwZwcpC/CLKLHQ2iHWmErpaT08Scoe/GlioA66bJLSb31lrjnMlsPGoOgotlnBeFwYK1njnKiMXXrRodff8H32+8Ec/dgOfBATF3VjVI4HLSb+RXur7/Bu2ABxs6dSTr9tLAZ4vryLVtG/mWXgbv8w08ggPPDjwiVlpL5zNP1O8fChRHrUBMMEdy+A1MvXWpOa7kS7r5dtlsFmpEe2xdvrfz96s/UYjJviZq97HccnPi6mrGMp6x+kVMIDGbofXTzj6cpmO1wwWzYvUJ128vaHzqPqHz9uBdVsPzXdPV3N+Tcxndd9JSoINldQMVPvo2zVafCa9eBsR6hzOafVOm5moSAHQuh/QGNG5vW6jXHYr7/An9KKacJIeJ/wwUsw4cjjMbwQDMpCcvoUQCUvfoaZS+8iHRXrrh1vvwKhpQUUq6Mbxkj8/77Y5t8LJ5vvq1sv2y3Yeq/P7ZJk+I6tn0hDAashxwc+TWzGccJx+M44fh9vk7pM8+Cp8bMlMeD+6sZuCZNxDZ+PIb09FrPYezUmeCO8NkMGQxiyGq6Nt6aFieJdd/O7h9lcZgZepS3Ot6xCD49t3qZsXUzVC3e875tnnFGY7LAMU/CrGsqx2ewqAD+0DvjOrR91nGI+qpJCOh+qPraV6umlVfXqPJTWwbBuQfmPgjDLgxvTFJTRi+VGlLzqYQwQmrXyMdoGjFOvRBCjAPOB66K5XUayjx8GJaDDqrepa28K5vtyCMBKHvu+WpBMqhH62XPv9CcQ40q46knSX/4IcwjR2IeMpjU22+n3ccf6W6E9RDYsCFy6SK/n8JbbmPXiJGU1vH3nHLdteHdC21W7JOPxZCW1oSj1bTmlZD3bYtDPbavWoNXmMCaAuNuV9//8lh4KbGgF7bMhaItzTfWaIZfpEqh9Z0C7YfAmGvhyhWQ2jneI0t8eWsidyX0O2H+o/DcAPjodAjWst5k+CVgqPHzURjBngk9j2ja8WqtSsyiKiGEGXgJ+J+Ucm09j7kMuAygW7dusRoaQgiy3niNsjfexPX+NGQwgOOUU0i+/LKKQDOUnx/x2FBBAVLKuKdfCIMBx2lTcZw2Na7jaInMw4YR2LgpcqWN8hn60sefwDJkCNZxYyOewzbxCFLv/TclDz0MgQAyGMR+7LFkPPbfWA5d02Kqofft5rpnA3DIzZDRW+Ukl+2GnhNh/L8qc1kLNhCekIaaRSzZoVofx1uP8ZEXqGm16zwSLMlqEWdNwfJ0nHUz4Of74YgHIp8jtbN6svDpuaqDoAxBp+Ew9UPd3U+rlZBRmjPs84mFuAe4GDhASuku3yaBh6SU99R1/MiRI+XixYtjMrb6yJk4SVXFqMHUtw8dfvoxDiPSmop/w0Zyj52MdNZe8N92zNFkvfZqrftIv5/gjh0YMjMxpMY5D1JLGEKIJVLKkfEeR0Pty3073vdsvrkJFj2nSpNVZbLBzbvAnh6XYWlNIOCFZweottahWmaN7Vlwe17t55JS5bWbbJDcoWnHqbVYtd2zY5J6IYToBtwN/BOwCiHSyxeHUOX7hP4Il3bvvWCvXvpG2O2k3fvv+AxIazLm3r1o98VnWMePB7s9ap3OUH5BnecSZjOmHj10kKy1eC3+vn3IzWrWseoQzUlw8M06SG7pTFa4dCEMPR9sGdH3izTjXJMQ6umCDpK1eopVjnIvwAa8CxRW+QK4pfz3g2N07SZhO3Qc2dOmYRk3FkP7dljGHkLW+++qts9ai2ceMIDs99+l04plCFuEwvk2G7YpEep9alrr1bLv26ld4LIlMPgc1dq5wxA47oXoj+K1liUpG058Fe4ogE4HRthB6FxjLSZilaO8DDg8wvYfUTfh14D1Mbp2k7GOGkm7Dz+I9zBiIlRWhvurGQR378bYsQOhQACDxYrtqCMxZmQgpcT91QzKXnqZUEEBtgnjSbn+ukaXZEtUBodD5Rrfe5+qlS0l2O2YunYh6WxdiF5rU5bR0u/bGT3glBbUra8hggH4eybsXgaOdqp9dygIvY6ErPI2z9t/h5/uh9y/VCWK8f+uXrKttTjuRXjrcJWSEfKr8nMmOxz9eLxHprVCMQmUpZRFwE81t5cvgNsipQx7TWs+/r9Wk3vqVNW0xBW+ktgyYTyWQYNwvv5GRfk55/vTcM+cRfsfZmPMzm7uIe8TGQhQ+sKLuN5+h5DLie2II0i7806MnTsBkHzuOVgGDKDszTcJ5eZiO+ooHGeegcHhqOPMmtZ66Pt2AnMXwWuHqBxdX2n46xm9Yfw/VafCvdUhireoWsPnfacag7Q0f06Hn++D4m1q0d2kR6DrGPVal5Fw5UrVZW/3cugyWlURSe0S3zFrrVLMFvNFvFgLWszXWkkp2TN+AoENG2vf0WAIb6hhsZB82aWk3XlH7AYYA/mXX4Fn9hzY213RaMSQnk6Hn3/EkFFLvpumNVJLXcwXSYtZzNeazbgK/ngtfKFiVcKoagvX1HkkXLYodmOLhcUvwbc3VS8JZ3bABT9C19HxG5fWajX7Yr5opJSiPkGyFjvBHTsIRGiUESZS1zmfD+/8X5p+UDEU2LQJz/ezK4NkgGCQkNOJ8/1p8RuYprUQ+r6dAP78sPYgGSIHyaBSNVqSUBBm3xleN9nvgjktvDmL1iI1a6CsNb9gQSG+VasIlZSoDftS/1kIjF2jP9pyfz+b3NPPJGfSURQ/+l9ChYVR920u/j//QpjN4S94PPgWtbBZFk3TWj+/G3Ytg5J6TGjUhz0r+mu7lsHHZ8Bzg+CzCyGvXi0PYsuVV96FL4Ldy5t3LJpG87Sw1uJA+v0U3XEnrs8+R1jMSJ+fpAsvIO2euzHt15XA33WsyRECTCbwV9asFDYbKZdfHnH3kqeepuyZZyu6GZZt2IB7+ie0n/1dXDvVGbt3izw7brFg6tu3+QekaZoWze/PqllTYVAzyN0nwGkfwKCzYOkrtc8qG0wq/aJqi2azA8beFnn/TT/B+1Mg4FHNN/LWwOpP4KK5Kic4XmwZ6v1HkhbjpjaaFoGeUW6lih95FNfnX4DXiywtA68X19vvUPbaa2S++AIiPR2iLVazWEi68AKshxwMxio1SZMchApUbeFQcTFFd9/DrsFD2TV4KKX/+7/qLb99PoIF+ZS99Xbs3mQ9mAcNUgFxjVllYTKRdMH5cRqVpmlaDX9/DbNvV7WAvSUqgN38I0w/CyY+BFn7qzrRkQgjdBwOIy8Hgxkof3IYCqq2zlKqCYMFj8MTPeCRDJh2gkpnkOUTCTKorv3tTc3xbqMzWWDU1dXblYP6fsK9cRmS1rbpGeVWSIZCuN5+u3peLiDdbspefImUSy+l46Lfcc+YSXDnDkJ5+bh/+IFQbh7GDu1JueYaHGecTvF99+P9fWFFq2eZl0/B5VeQ+c5bFN91N4EtW8BXS5ckjxfvjz/CddfG8u3Wyr9sGaaePQju3KmCfCEw9epJxv/+h6lr17iNS9M0rZpf/huelxv0wqYfVDrGFX/A+m9UzrHPqX5f8LcKnof/Aw69U+27+BXAX3n83PtVEFy0GVa+F36Nmrb/FoM31wBFW9R4kzpCyTZAgC0NjnoM+p8Q37FpbZIOlFsjvx/p8UZ8KVRYBKj6wUmnn1axPZ3KovxSSkIuF8533g0Ptj0eiv/5b4I7d9UeJIPKae7UqXHvoQmUvfMOJfc9gPR6IRRC2O0Yu3en/YwvEXZ73MalaZoWpjRKTrLRAq5cSOkI/aaoL4BJD1fuI6X6+vGfEKyR3+t3wfxHVNpGMPLPhWrsmY0bf1PYsQjeOqJ8rD4w2sBsg0sWQFaf+I1La9N06kUrJKxWTD16RHzNMmxY1OOCu3eTf9El7Ozek90DDgBf5Hy44PbtSKez7nHYbCT/4x/1GXKTC5WVUXzv/SodpDxHWbrdBLZswTl9elzGpGmaFlXPiSrPOJKsfpG3B7zwzY3wcArcb4KcFVH286iAuy5mBxx0Y/3GGwtfXqrSP/bmYgc9Kg3l+9vjNyatzdOBciuV9tCDCLutssqFwYBwOEi7919h+0qPh9KXXmb3QYfg+e47lWoRDEZeBCcExm77IZKSwl8zGMBsRiQnI5KTSXvkYSwjKheFhIqKKH3lVQpvvpWyt98mVFbWVG83jG/p0sjVLtxuPDNmxey6mqZpjXLoXWBNK88xLmd2qJQDk7X6vlLC6s/h8f3gt6fA7wRkZb5xTWaHylUOIwCjuq7RBsMvgYOr5CgHfLDyAxXA/nQ/FG/ft/dYG58L9qwK3y5DsPG72F1X0+qgUy9aKdthh5L96SeUPv0MgXXrMA8ZSsr112KuUelBBgLknnYG/pUrq1W4iEbYrKQ//BAFl1xabbYWoxFDdhbZH32IdLkw778/wlp5c/ev30DuiSeBx6NaRX/5BaVPPEn7WTObJD0jsGULZW+/Q3DjRiyHHIJ5QP/IgT5gyEjf5+tpmqY1qbSucOVymPcIbJoNqV1VxYreR4bv+/3tsPDZ6GXUqjI7YOLDsOZz2DI3vCrGed+pdtiZfcBepQGTz6m6ARZuVLO8RqvKoz77K+gZqdN5A7mLYOmrsHUeZPWHAy9VM+rBCPWgzREmZjStmehAuRWzDBlC1quv1LqP59vvCKxZEz1IFgKRnIz0+TAPHEjav/+FddRI2n3xGYU33Yxv6R/qWqNGkfHk41EXyBXdfjuyuFjNhAC43IS8PoruvY+sl15s9HsE8P76K/nnXaBacvv9eOfNh9RURGqqasFdpfuksNt1tQtN0xJTaheY8kzt+5TsgIXPqHSKaMxJakFcSmcY/28Ydj4MPR9mXgl/fqxmadN7wPEvQ7dDIp/jtychf13ldYJe9fXJOXDTdvUEsbFKdsLLB4KnWAX7xm9g8fPQYwJs/ql6MG+yw6grG38tTdtHOlBu4zxz56pgMgrhcJDx1BPYjz662nZTz560++xTQk4nCIEhWqk5VE1n38JF1QJWAIJBvHN+2KfxSykpvOHGaqXppNsNgQC2KVPwLvwdWVwCQiD9flJuuhHrwQfv0zU1TdPiZusv5ekZUQJlgxmGXwyTn66+3ZoMp7wDJ7yqqmjY0mpvQLVyWuRg3Fuiai63H9jot8Ccu8GZBzKgvt+7eK9gA3QdAzsXl88u+9TixUPvavy1NG0f6UC5jTO2bw8WS+SFe0YjhvbtsU2cGPV4Q6Rc5bCdDOorUipEpDziBgjt2k0wNy/8Bb8f72+/0XHR7/gWLyZUVIx11EgMGRnh+2qaprUUSe1rf91krZ5nHOn1mjnPEfezRd4uQ9Ffq6+/Z1QGyVWVbIV//Aplu6FwA7QfBJm99+1amraP9GK+Ns5xxumIqk1FqrCdcDztvvwcYWrY5ykZCKg0iHLCaMR27DHhQbHVimPq1AaPuSpht4XPVO99LSkJYTBgHT0a+1FH6iBZ07SWr/th5bnEEWaDO42Ei3+BjB4NO2copBbuVTXyigi5wQIyekFmr4adv6baco5NNugwCPqfqINkLSHoGeU2ztS1K5kvv0TBtddBIAChEIasTLLefANz//4NOlcwJ4fC2+5QTUYA69hDSLrgAtyff05g61YMqakqLUJK1fhj4ABS79y3sj+GjAyso0fj/e03Nf697HaSL7xgn86taZqWcAwGOH8OvH8clGwHQ/lExwmvwgGn1X5sTQGvWhi49BWVZpE9AMb/C7bOhx0LIbmjyok2GFT3P0sSnPnZvr+HUVfBT/dBoEran8EMvY9WKSKalkCEjDIbF28jR46Uixcvjvcw2gwZCOBfuRJhtWEa0B9RW+5apOP9fnLGHUZw167KVctCVATFSAkWC8LhIOW6a7EceCCWA0c0+DqRBHNzyTvzLILbtoEwIP1+7McdR8YT/xd1tlzTYkkIsURKOTLe42hO+p7dzKSE3L9URYqOw1Xr54aafhas+SK8eobBBKGACo6NFhhzHXQ/FHofpSpk7KtgAD49B9Z+qc4fCqpa0ed/D46sfT+/pjVQbfdsPaOsASBMJizDh9e9YxSeOXMIFRZWL+2z90PY3l99PqSUBHfvxjrywH0YbXXGdu1oP/t7fIuX4Pt9Iab+/bBNnNgkQbimaVpCEgLaH9D440t3q5JxkRbshcqfzsmgCqL/ngVHPtL4a9VkNMFpH0L+elg3Uy0sHHSm6sKnaQlGB8pakwhs3KRaRdfF78czew78O7zxyb7w/bKAgiuvUmOQEkN6OplvvIZl0KAmvY6maVqrULRJ1UaurczcXrl/qjSN+iwCrK/CzfDhyapOs8EEX18Hx70AQ85pumtoWhPQi/m0JmHu379ag5HaGLOa9tFaMCeH/IsuJlRQgHQ6kS4XwZ07yTv9zGpl4zRN07RymX3rFySDCqgNTZBysZeU8M6RKnXE71Il53yl8NVlsOuPpruOpjUBHShrTcI6/jCMXbvUWe5NOOwkX35pk17b9cmnyEjdnAIB3N/p1qeapmlhkrJVvWVz9Br4gKpCMezCfWswUtP231UJuJottwMeWPhc011H05qADpS1JhHcshXLqFEY2rVTdZkdDmwnHI958GCE3YZISQGrleQrr8R+7LH1P++ePfjXrkXW0l47uGcPREj7kIEAofyCRr0fTdO0Vs2Vrzr3pe6ngmWjRXXG2/8ENYNsTVNBcp9j4OjH639eTzHkrAJPSS3XzgURIfyQIVVlQ9MSiM5R1vaZZ958Ci66WAWzgQDCpgLj9Pvvw9iuHf716wntycU8cACG9PR6nTNUWEjBlVfhXbgQYTKD0Ujagw+QdOopYfvaDj0U1/vTkE5n9RcMBqwHHdQE71DTNK0VKd4GLx2o0h0CHpVWYbTAEQ9Ct7FQukt138voDend6nfOUBC+uQGWvqrOF/LDyCvhqP+Fz0Z3PUh13avJ7FCd+DQtgegZ5QQVKi6m+OH/sHvsOHImHUnZO+8iI3W2izMpJUU33lTRNhpAejyECgoofeIpAMx9+mA95OB6B8kA+Rf/A+9vv4PXp/KOS0oovv0OvIvCy09ZD5+AefAghN1esU04HNiOOALvb79ReNMtlL3+OqGSWmY4NE3T9kUoCItegOeHwFN9YPbdanY1Ec2+E9wFlTnKIT/4nfDFJer7lE7Q8/D6B8kAcx+EP15X59wbgC95CX75b/i+Se3gkFurNx4x2SClC9jS4ctL4Yd/qwV/mhZnuo5yApJuNzmTjiK4c2dFa2lht2ObPJnMp5+M7+BqCOzYQc5hE8ATvijE0KkTnRYvbPg5N28mZ+KR4ecUAtsxR5P16ithx0ifD+e0D3BNn44wm7EdczSlzzwHbjfS7UbY7Qi7jXYzvsLUvXuDx6RpDaHrKLdB08+GtV+oxWmg0hfSu8MVyxOv7Nmj2eDOD99utMDNu8CR2fBzPpIBnqLw7Y52cNueyMesnQG/Pw3uQuh/Aqz5EvLXqNrQRouqhnHax9BvcsPHo2kNUNs9W88oJyDnZ58T2rOnIkgGFTy7Z8wgsHFTHEcWTtgdqv1pBIbkxnVYCubmIiItCpSS4I6dkcdhsZB8wfm0/+pL2n36Cd75C5BFRRVVL6TbTaiomKK77m7UmDRN06LKXaNqEvurdJoLelW+7aoP4jasqCy13JtNjQjqpYw+e+6uZZ3I/sfB+d/B5YtUTnTunypIBpWa4XfBp+dCMPoaFU2LNR0oJyDf/PlIlytsuzCZ8P2RWKVzjJkZWMeMBlP1dHdht5N0ycWNOqe5f//Ii/csFqyHHVqvc3h//jk8gA+F8M6bT6I+RdE0rYXa8XvkxWl+J2z+sfnHU5dRV4VXuzBYoO8UsNRRBSMSIaB9lJr1nerZyGrl++EdAkE1P9El47Q40oFyAjJ26xa1zJqxY8dmHk3dMp59BlO/vgiHA5GcDGYztuOmkHTO2Y06nyElhdTrr0M4KnOOMRohGKTsjTfJPfkUvIsW1XqOiDPSEBbQa5qm7bOULpEDZaMF0ns0+3DqdPBNsP9JYLIhLalIk4NghyFw4muNP+exT5cH36ojqkQQMFiZFTqSDz/8kHXr1tU+SWGyR94uQ42b5da0JqID5QSUdO45iJoBndGIISsLy8GJV8XBmJ1Nu6++xDJmNNLjAbMZz4yZlD71dKNnb1Ouu5aMp5/CPHIkhuxstTEYBKcT38JF5J95Nt6F0fOf7SedqMrUVWUxYz/xBN3aWtO0ptXzcLBngjBW324ww4h/xGdMtTGaYOp7rD5iOnNSz+PLdrfxpukKvp+/mED5ouwG6zkBLpoL+59AMK0HW+zD+SLrVrYbelBcXMz8+fNZvnx59ONHXVF9cd9eSe2hw+DGjUnTmoAOlBOQqWtXst56E0OnjqqSg9WKecgQsqd/hGjKou9NqPC6G/DOnacqX7hcSLebsueep+zlVxtdrcN+7LG0++wT9U2NhiLS46Hkof9EPTbt3//CPGCAmuW22xFJDsz770/6ffc2aiyapmlRGYxw0c/QaYSa/TQ7VH3ic2ZC2n7xHl1Eq1ev5pe/drHRMoQc0YlgMMjWrVuZM2dO44PlzgfCWZ8z54CX+C7jcvLNle89EAiwdOnS6Oc+4HTVvtpkUwGzJUUtBDz7K5XaoWlxoqteJDApJcHNmxF2e0KmXOxV9sFHFN98c+QXhcCQlUXagw/gOP64Bp87VFzMrqHDIULOskhOpvPa1VGPlVLiW7yYwLq/MfXtg2XUKD2bHGOhUIi//vqLv/76i2AwSK9evRg2bBjWerY3by101Ys2rGSnyrXN6JWwAV5+fj6ffPJJ1NeNRiODBw9mVCPvme+99x7OmnXtAbPZzCmnnEJaWlotg/sbtsxVQXKfY8Bkib6v1iQ8s+dQ8vTThHbtxjJ6FKk334ypV894D6tZ1XbP1gmbCUwIgalnYv9jlW43xffcU8sOklBeHkU33oSxQ3uso0c36PwiORlhsURc3Gfs3Kn2Y4XAOmoU1lGjGnRNrfHmzJnDtm3bKmaNVq5cyebNmzn11FMx6fxwrS1I7RzvEdRp3rx5tb4eDAZZtWoVZrOZ4cPruRivitTU1IiBcigUwm6Pkou8V1Zf9aU1i7K336Hk/gcqKkS5v/wKz+w5tP96VpsLlqNJzOf4WovhW7ZMLbSrg3S7KX32uQafXxiNJF1+WbVmIqCqaqRGm8XW4qKgoICtW7dWe7QaCoVwOp1s3LgxjiPTNG2vUCjEnj1R6hpXEQgEWL58eaPWmRx44IEYa/xcMBqN9O3bF0vNtSNa3Eifj5KHHq4IkgEIhZBuNyWPN6BteSunA2Vtn4jkZEQ9c5CDW7YgQyFKn3ueXUOGsaN7T/YcdwK+JUtrPS71xhtUsJyUBBYLhswM0u67F/txutVpIsnNzY34mDYQCLBzZ+T615qmNS8hBIZ6rnXx+XxIKdm8eTMffvghr7zyCtOmTePvv/+u9bjOnTszYcIEHA4HBoMBo9FI//79GTduXFO8Ba2JBLfviNwHIRjEV8ti+bZGPwvV9ol50CAMWVkE3W5VdD4aoxHL6NEU33c/zvfeh/JPsP4//iDvjDNJf+xRQkXFGDt3wnbEEdXKuwmDgbRbbyH1xhuQpaWItLSEXdTYliUlJUUMlA0GAykpKXEYkaZpNQkh6NOnD+vXrydUxyRHamoq27ZtY86cOQTLF1SXlpYyb948nE4nFosFk8lE9+7dw9Yh9O7dm169euH1ejGbzWEzzFr8GbIykVEWVxo7JX4KUXPRgbK2T4QQZL37Nnmnn4ksz0mTbrdaxLL3P6DBgHDYSbroQnKPOwG83mrnkG43hdffCCYTwmxGJCXR7vNPMXXrVv1aJhMiI6NZ3pfWcJ07d8ZqtRIIBKo9rjUYDPTv3z+OI9M0rapDDjmE4uJi8vPzEUIQDAbDgmaj0cjBBx/M77//XhEk7xUIBFi4cCFGoxEhBPPnz+fII49kv/2qV/gQQmCz6RrIicqQloZ9ymTcs76u9nNZ2O2kXHdtHEeWWHSgrO0zc58+dFz0O77ffidUWIh51Eh8CxZQ+twLhPLysB50EKm33Yp0uxFmM7JGoAyo8m/BINLrRbpcFFx5Ne1nftX8b6YWMhjEv2w50ufFMmIEoo1VcqiLwWDghBNOYPbs2eTn5wNgt9s54ogjSEqKUB9V07S4sFgsnHjiieTl5VFcXExmZiY+n49FixZRWFhIWloaI0eOpHPnznz//fdRz1M1gP7+++8577zzMEdr9hQnhYWFuFwusrKydNAeQcZj/wUhcM+chTAawWQi9e67sE08It5DSxi6PJzWbEJFRewaMTJsRjkii4WOC3/D2K5d7AdWD77ly8m/4CLVWrw8vSDjmaewH3VUnEfWvPLz81mzZg1ut5sePXrQq1eviPmOLpeLYDBIcnJymyzJp8vDaa3Fhx9+SHFxcZ37mc1mxo8fT69evZphVHVzu9188803FBYWIoQgFAoxZMgQRo4c2abuScHdu3G++x7+deuwHDiCpDPPxBChPF+ouJhQQQHGrl2jd7ZtxXR5OC0hGNLTcZw2Ffcnn1ZfZRtJ1dSNOJNuN3lnnY0sLqm2vfDKqzH//COmrl3jNLLmtWbNGn755ZeKWaStW7fy559/ctxxx4XlHzocjngMUdO0JjZq1Ch+/PHHsPSLSOrKeW5Os2fPJi8vr1oa2MqVK8nKykqYYD7WfKtWkXfqaaq8qteLd84PlD3/Iu1mzcTUpXoOsiEtLWIAremqF1ozS3/oQZIuuxRRvrjLkJkJEerrmrp2wdip9jrJzcUzew4Ew38AyFAI10cfx2FEzc/v91cLkkHlKebn57N+/fo4jkzTtFjq1asX48ePr0ifslgsEWdkQ6EQXRNk0sDpdLJnz56w0naBQIAVK1bEaVTNr+jmW5FlZRVPcaXHQ6iwkJKHHo7zyFqWmM0oCyGmAmcBI4H2wFbgU+BhKWVprK6rJTZhMpF2262k3XYrMhRCOp3knngSwe071GJAmw1hMpHx7DPxHmqFUFERMhhhdtvnI5SX1/wDioPdu3djMBgiLurZsGED+++/f8W2YDDIihUrWLNmDaFQiD59+jB8+HBdPzXB6Xu2Fk2fPn3o06dPReD5448/snnzZgKBQEW5ubFjxyZMDrDP54uaXuGtT+pfKxByufCvjtC5NhjE88MP1TZJKXF/+SWlzz1PKDcP69hDSL3lZkw9ejTPYBNcLFMvbkHdaO8CtgPDgXuBw4UQh0gpE+cZjRYXwmBApKTQ/puvcX/zLb7FizF27Ypj6qkYMzPjPbwK1rFjIUIqv0hyYD388OYfUBzUtkCnagAspeTrr78mJyenIqheuXIlW7du5dRTT613/VYtLvQ9W6vV3uDz8MMPZ/fu3WzevBmz2UyfPn1IT0+P7+CqSEtLw2g0Vmt+BGrBcc3KHK2VMBrBYFAL5Wu+VuMDTdkzz1L69DPh3flmf9dmUgtrE8ufWsdLKU+XUr4npfxZSvkkcB0wBpgQw+tqLYywWHCccDwpV19FYO1a9hwxid1jx1H6yqvIeuTFxZqpV0+SzjgdUTXv1m7HPGwYtiPaRqDcvn37iMGyyWRi4MCBFd/v2bOHPXv2VJt5DoVClJaWsnnz5uYYqtZ4+p6t1YsQgk6dOjF69GiEEMyaNYt3332XBQsWJMSMrcFgYNy4cZiqpPUZjUZsNlujWnK3RMJqxXbUkVDzvm2zkXTOWRXfhpxOSp56uvq6oWBQddN95tlmGm1ii9mMspQyN8LmReW/donVdbXmJ0Mhgtu2IVJSGj0THCoqYs8xxxIqKFSL+HKh5NH/4l+1iuRL/0HJY//Dv3IVph49SL3pRqzjxjbxu6hd2kMPYh1/GM5330d6PThOORnHqaeqT+1tgMFg4Nhjj2XmzJkVQXAoFGLo0KF07ly5KGTPnj0RF/QEAgFycnLazCKalkjfs9sWp9OJlJLk5ORGHR/p6dFff/3Ftm3bmDx5MsuWLWPr1q1YLBYGDRpE//79m7XaRO/evUlNTWXlypWUlZXRpUsXDjjggIRJD2kOGf99lLyt2whs2KAWyAeDWMaNJeX66yv2CWzciDCbkJ4aBwcC+H7X3fmg+atejC//NULijNYSub+fTdGttyLLnMhgEOtBB5Hx3LMYMxvWGMT53vuESkqrV7pwu3F/8SXur2aAzwdS4svJIf/Ci0h/6kkcUyY38buJTgiB/eijsR99dLNdM9FkZWVx7rnnsmPHDnw+H506dQqrbpGcnIzRaIzYvEB352uR9D27lSkqKmL27NkVJd9SUlKYOHEiWVlZDTpPbm5uxKdHTqeT6dOnVzQecjqd/Prrr+Tn5zd7C+t27dpxxBFttx6wIT2ddl/PxL9sGYGtWzEPGIC5X79q+xg7dED6/BGPN3ZrG2kqdWm2hEEhRBfgfmC2lDJisU0hxGVCiMVCiMW5uZEmN7RE4v9rNYVXXkUoN089tvH58P76K/kXXNDgc3l/+x08NT/SovrQe73V2mNLt5vif98btqK5rZFSkpeXx9atW/FE+rOLgb05fr17945YAq5bt24RUzQMBgN9+vRpjiFqTUTfs1ufQCDAl19+SUFBAcFgkGAwSFFREV999RU+n69B58rNzY14Dw4EAvj9/mqvBQIB1q5di7O8e2tbFti6Fc+cHwhs2tQs1xNCYBk+HMeJJ4YFyQDG9u2xTRgPNRpoCbudlKuvapYxJrpmmVEWQiQDXwAB4KJo+0kpXwZeBlW8vjnGpjVe6auvImveXP1+AqvX4F+3LuJ/ymhMvXvhnTs3vHZylBzlUG4usqysosxcW+N0Opk1axalpaX7VEzf5/Oxbt06CgoKyM7Opm/fvvvUWctoNHLCCScwZ86civa4qampHH744W3qkWdLp+/ZrdPmzZsj1kMOhUKsX7++2nqDuiQnJ0eshBONwWAgPz+/zXbplD4fBVdfg2fODwiLBen3Yz3kYLJefglht9f/PH4/nm++xfPLLxg7dSLp9NP2uZRqxrPPUHTLrbi//gZhNCLsdtIeegDrmDH7dN7WIuaBshDCBnwJ9ALGSym3x/qaWvMIbtkaOZA1mQju2tWgQDn5ogtxvfsesmqgbDarvKoIMx3CYqm+uK6N+e677ygqKgorpp+dnU3Pnj3rdY6SkhI+//xzAoEAgUAAk8nEkiVLOPnkkxudtwiQmprKySefjNvtRkqpm4+0MPqe3Xo5nc6wShCgZnwbOtu73377YbFYKlIs9jIYDBHXKUgp22yQDFDyf4/j+eFH8HqR5Qsevb8soPiBB0l/+KF6nSPkdpN3yqkENmxU5VQtFsqeeZast97EOvaQRo/N4HCQ+fxzhEpLCRUXY+zUqc2sv6mPmKZeCCHMwCfAaGCylHJlLK+nNS/r2EPCHteA+uRsPuCABp3L1L07We++jbFbN7BawGLGeuihpP7rnrBP28JuJ+nCC9rsf+SSkhIKCgoiFtNfubL+/8Xmzp2Lx+Op+MEZCATweDwsWLCgScZpt9t1kNzC6Ht269a+ffuwLpqgyj926NChQecyGAyceOKJdOjQAYPBgMFgICMjg4kTJ1arNrF334yMjAbnQbcmznfeDU8v9HpxfvhRvdMIna+/gX/d3ypIBvD5kG43BVdfg2yCroiGlBRMXbu22Z+t0cSy4YgBeA+YCEyRUv4Wq2tp+0ZKSXDzZmRIYurVs96P7pMuvBDn2+8QKiysSJkQdjuOc8/BmJ3d4HFYDzqIDgvmE8rNRdjtGFJS1A3E5ab0qadBSmQohOOsM0m9/bYGn7+18Pl8UR95lpWVMWPGDMrKyujYsSMjRowgNTU1bD8pJbt27Yq4fdu2bTEZt5bY9D27ZXG5XHg8HtLT0+tdn7xjx460a9eu2iI8o9FIWlpao7rqJScnc8IJJ+D1egmFQtjLJzVMJhM///wzXq8XKSWdO3du04vqAKTLFfkFj4eCq67Gv2w5pl49Sbn+OqyjR0fc1fXJpxHX8kink8DatZgHDGjKIWvlYpl68RxwGvAQ4BRCHFTlte36cV5i8P/5F/mXXU4oJwcAQ7tsMl96EcuQIXUea8zMoP23X1P65FN45sxBpKWTctml2KeeGrZvsKCg/JhMgrt3E9yxE1Of3mG95YUQGNu3r/Z9ytVXkfyPSwjm5GDIzsbQxmcpMzMzo36YcTqdlJWVAVBaWsqmTZs45ZRTSKvx51wzbaMq3RSkzdL37BbA4/Ewe/ZscnJyMBgMCCEYO3Ysffv2rfNYIQSTJ09mxYoVrFu3Diklffv2ZejQoWH/730+H36/H4fDgd/vp6ioCIfDETEty1rjyeJ+++3HOeecQ1lZGWazWa9PQE0EeefPr7YwHQCDAc+MmRAKEdy6Fd/vC0l/5mkcxx5TbbeQ200gSi16KSVYwp/uak1DxKpygBBiM9A9ysv3SSnvre34kSNHysWLIy601ppIyOlk96jRyOKSattFSgodF/6GIcJMZEP5N2yk8JprVStNKREOB9LjQVitSJ+P5H9cQuqddzRrfc3WYP369cydO5dgMIiUMmpeoBCCXr16MXHiRAoLC1mxYgXFxcW43e6K8lA1DRgwgEMPPTTWb6FVE0IskVKOjPc4GkLfs1uGL774gtzc3Gr/300mE5MnT6Zjx477fH6fz8fPP//Mli1bADXjHAwGK8o+du7cmUmTJu3Tot+2yL9uHbknnIj0+tS6G7NZrfGJcN82dOxIx8ULCeXn43zjTby//ooMBPEvXx6+4B0w9uhBh/lz9c/RfVDbPTuWDUd6xOrcWtNwz5wFgQiL8QIB3F9+RdK55+zT+UNuN3knnUSosKjiU7QsUUH53moZZa+/gbFHD5LPPivaabQI9raMXbVqFWVlZbRr144///wzbKGOlJLdu3ezfft2vvvuu4rAujYjRoyI5dC1BKXv2YmvpKSEvLy8sA/FgUCAFStWNEmg/P3337Nr166Ka9T8dceOHfz8889MmjRpn6/Vlpj79aPDjz9Q9vob+JYvxzzwAFzTpiHLnwBWFcrPx796DflnnEHI6VIlUqMRguTLLtNBcgw1d8MRLYGE9uxBRsp3crsJlqdi7AvPzFnq03NtgZnbTdkLL+pAuRGys7OZMGECoGaBVq1aFXE/h8PB3LlzI652r0kIoR+TalqCcrlcta5P2FclJSXs3r074tOpvUKhEJs3b8bn82GxWPb5mm2JsVMn0u6+q+J7z+zZBCP9vRmNlL74IqHikqglUivY7VgGNWzxvNYwOhmxDbOMPBARoWqFSHJgGbXvT40D27dHX8BQRag8f1lrPIvFQo8ePcJWtJtMJgYOHIjb7a7zHEajkb59+0ZcFa9pWvxlZmZGDGINBkOjFuPVVFZWVq///0KIBjco0cKlXHtNeA1lm42kM07HN3de3UGywYCxXTvMI4bHbpCaDpTbMsuYMVgOHFH9P6rdhnnQYKxN0GrUMnRI3bWODQasBx+8z9fSYPz48XTv3h2DwYDZbMZsNjNq1Ch69epVa7qFxWLBaDTStWvXZm8xq2la/VksFkaMGFGt/JrBYMBqtTJ48OB9Pn9mZma9GohYLJY2XRO5qThOP43kq69C2O2I5GSwWrCfcDxp9/679jVCSUkIux1T795kf/C+TruIMZ160YYJIch6+y3K3n4H1wcfgJTqP+6FFyKaoPKBdfx4TL174V+7LnKOlcmEsNtIvfOOfb6WpmaPJ02ahMfjweVykZqaWvEDtVu3bmzdujVsAdCIESPo2LEjycnJ+9RkZMOGDSxduhSXy0X79u0ZPXp0m66ZqmmxMnz4cDIyMlixYgVut5v99tuPYcOGVZRm2xc2m42BAweyevXqqKlaJpOJsWPH6uCsCQghSL3xBpKvuJzg1q0YO3TAkJ4OQNKl/6DkvvuRVZ8GWixYDzuMlGuuxpCagqlfv0b/Pfj++IPi/zyK/6+/MHXtSspNN2I/6sgmeFetT8yqXuwrvYK65Qhs3ETZ2+8Q3L4N62GH4pg6taKEW8jlovTpZ3B/8gkAlnHjkMUlBLZuxTpqJPYzTsf73fd4Fy/G3K8fyZdcjKmeneW0+vP5fHz77bfs2bOnYhV7v379GDdu3D7/wFu5ciWLFi2q9oPVZDJx0kknkZmZWW3fQCCA1+vFbrfXWobO6/WyZ88erFYr7dq1a3E/lFti1Yt9pe/ZLYfH42HNmjXk5OSQlZXFgAEDKmaIpZSsWbOGlStX4vV6ad++PRaLhfz8fFJTUxk0aBBFRUVs2rQJm83GAQcc0CSLCLXqZChE8T//hXPaBwiLBQJ+zIOHkPXm62FlVRvKt2QpeWecWT0It9tJ/8/DJJ02tfo4AgFCubkY0tNrbbUt/X58ixZDKIRl1MiIaZ2JrLZ7tg6UtYh8f/yBd+48REoK9hOOj9pAxPPjjxRcejnS71dla+x2jB3a037WzDr/Mwe2bGHPsVPUf1afT80wW8xkvf8e1lGjYvG22ryioiLKysrIzMxskq55wWCQt99+G7/fH/Zajx49OOqoowC1AGjBggWsXbsWUIH0mDFj6N+/f9hxK1asYNGiRRgMhooW2JMnT47YOCVR6UBZa25766aHQiG6d+9ORkZG1P0+++wz/H4/wWAQg8GA0Wjk+OOPJ7uORlGBQIAvvviC4uLiig/GJpOJUaNGNUnqhxYuuGcP/tWrMXbpgrlPnyY5Z+6pU/H99nvYdkN2Fh3/WFrxRLnsnXcp+c8jFS23k84+i7R//wtRo/Oid8Gv5P/j0sqcaiHIfOE5bIcf3iTjbQ5xKQ+ntUxSSgqvvwHPrK9VCTezmZKH/0Pmyy9hO6L6P3oZClF4w03VP5W63QR37qL0xZdIq6N7XvGDDyFLSyvrSAYCyECAotvuoMOPc5r6rWlAeno66eWP9ppCWVlZ1Pzn3Nzcit//8ssvrFu3riL/MRgMsmDBAux2O927V5bu3blzJ4sXLyYYDFbsW1JSwvTp08nKyqJTp04MGjRIt8bWtCpWr17NggULKv4vLlmyhKFDhzJyZPjP/V9//bWiYx6oD7GhUIh58+Zx8skn13qddevWVQuSQQXPCxcupF+/fmGNR7R9Z2zfvloTrqbg//OviNtDxSXIkhJEejruWV+HpX64pn0ABgPp991b5Zhi8i+4MGzhfv4FF2EeNAhz//4kX34p5v33b9L30Jz0Yj6tGs933+H5+hv1nyMYBI9H9ZK/8qqwUnKBDRsiV7Xw+XDPmFnntbxz50Usth7YuJGSp55mz5TjyTvzbNzffFNn7V8tPux2e9S/m5SUFED9IK0aJO8VCARYunRptW2RakHv3TcnJ4cVK1Ywffr0JimFpWmtgcvlYsGCBQSDwYqgNxgMsnz5cvLz88P23759e8T/s3l5eXWWkNy8eXPEfQwGA8uWLeOrr77i888/Z9WqVfUqR6nFh7FT5FQZYTarRYVAyRNPVp8EQ5WOdb37XsUMM5T3Y4gkqBqkuKZPJ3fK8XjmzmuawceBDpS1alwfT49a0s37e/VHNcKRhIyyQtpQjxXRItrisWCQ0qeexr9sGd558yi89npKHnyozvNpzc9isUQsKbd3oSCofMhoOcZVA969NVxrEwqF8Hq96Ef8mqbs7aBXUygUYsOGDWHbTabID5KFEHW2r49WYz0QCLBq1Sp27drFnj17WLhwITNmzKi1HrMWP6k33QQ1843tdpIuvqgirSK4a1fEY6WUhMq7uoZKS3HNmFl7GdhgEOl2U3TrbS12wksHyloNtSyaqhHsmLp0xjxgANQIkkT5f7i6JF98UfjiAJMJDIZqVTKky0XZG29G/Y+rVcrJyWHGjBm8/fbbfPHFF2zfvj3m1xw7diz7778/RqMRo9GI3W7n0EMPrajr6nA4ov4AbteuHaBypz/55JN61XuWUjbL+9K0liLaB9FI2/v37x/2wdZgMNCzZ886A+WBAwdGDLSllNWeGAUCAQoLC9m8eXM9Rt+2BXbsoOD6G9g1bAQ5h02g7J13Yx5Q2o8/jrR//RORlgY2K8JuJ/miC0m97daKfSxDIuecG5IcGLKyCLnd5E45Ht+vv9brmsE9e1pszwQdKGvVOE6fGrX2sXXMmLBtmS+/hLFbN0RSUnkdSCuOqafiqLFyNpLkyy/DNvlYsFoRKSkImw2Rmhq5yLrJiHeRnkWsza5du5g5cyY7d+7E4/GQk5PDt99+y6ZNm5r0OoFAoNoPRaPRyLhx47jgggs466yzOPfcc+nbt2/F6waDgdGjR4f9gN27CAhg4cKFERcERqM7gmma0r1794iBlcFgoFevXmHbDzzwQLp06YLRaMRsNmMymcjOzubQQw+t81odO3Zk9OjRFceazWasVmvEJiV+v59t27Y17k21EcG8PHKPPhb3Z58Tys0lsGEDJffdT/E//9Wk15F+P6Eas77J559Hp5XL6fjbr3T6cyVpd9+FqPL3mHrnHWETWcJuJ/XuuxFGI67p0wns3KkW4tdrELLuvgoJSi/m06qxHXkktuOm4PlqBtLnQ5jNagXryy9GLPdi6tKZDvN+xrdoEcHdOVhGDMdUzw5RwmQi8+mnCNx+G4G16zB22w/nW2/jfOvt8GDZ6aLkoYcxZmVhHXtIU7zVVue3334LywsMBoP8+uuv9OjRY59LrJWUlPDTTz+RU97evEuXLowfP76irJTJZIr6WHfgwIE4HA6WLFmC0+mkffv2jBo1qqLW8q5anhYIIcICgbKyMgoLC6Ou7Ne0tsLhcDB27Fh++eUXQM3uCiEYNmxYxFrmRqORY445hsLCQgoKCkhLS6uz2kVVgwYNol+/fuTk5GCxWHC5XPz0008RG5Vs2LCBdu3aMWDAgBZX4rE5lL32OiGns9rPO+l243x/Gik3XB+12lR9hZxOiu6+B/cXX0IwiKlPb9IffRRreeddYTRiLH+qV5Nl8GCyP/+Ukkcexb9iJcYuXUi58YaKWsveH36ESE8AhVBPmWvmqAeDeOb8gOO4Kfv0nuJBl4fTIvKtWFFZHu744zDWqIcbK/5168g9dkrYwsG9hN1O9uefYhk0qFnG05K89tprEX9YCSG46KKLogax9eH3+5k2bRqeKn8vQgiSkpI488wzKx7Z+nw+ioqKSEpKalDnrg8//JDi8ry3qgwGA8nJyZSUlIS9lpqayhlnnJGQP4B1eTituZWVlVUrD9eU1W1qEwwGee+996rdG6oymUwcdNBBDBw4sFnG05LknnSyqj1cg0hJIfPlF7Eddtg+nT/vzLPwLlxULZVROBy0/+6bin4F0u/H/9dfiKSkBpWfK7r7HpzvvBs+qeVwYBk5Et/cueEH2ax0XPg7xgRsRqXLw2kNZhkyBMuQIc1yrcDmzRQ/9DDeXxZgSEnBevxxeGZ9DU5n2L7S46H06WfIevmlZhlbS2K32yNWgzCZTBEfjTbExo0bw2arpZR4vV62bt1K9+7dWbx4MStWrMBgMBAMBsnMzCQlJQWr1Ur//v1pX0uJo6FDh7JgwYJq1zAajfTu3ZuioqKIgbLL5aK4uLjZAgJNS2TJycnNVsvY5/OxZMkS/v77b0A9XcrJyYl4/wkEAixZskQHyhGYevXGt/SP8GDT78fYpX5PZqPxb9io0hVrdMWVPh9lr75G+kMP4pr1NUU336KqTwWDGLKzsQwfDgaB/bgp2I46qlo6RlVJF5yP64MPqy/oNxgwZmdjGTUS3y+/hL0vYTDi+eZbks45e5/eW3PTOcpaXAV372bP5OPwfPMtsriY4PbteGbMxDpuXOQuQFISKG9a0VqVlJTw7bff8vrrr/P2229X1BWuy4gRIyLmAQ8ZMmSfZ12LiooilnsKBoMUFxezbt06Vq5cSTAYxO/3EwqFyMvLY9OmTaxZs4YZM2awfPnyqOfff//9GTx4cEXuo9FoZL/99mPcuHFR37sQol5/LpqmNR0pJV999RV//vknHo8Hj8fDpk2bMJlMUe8zbre7VVfACDmdFP3r3+w8YDA79x9AwXXXE6xSRz6a5Mv+obruVWWxYB42DHPv8Pzyhghu3aJSJ2sKBPCvXYv/778puu46ZEkJsqwM6XYT3LYN95df4v78Cwqvu4H8C/+fvfMOk6LK+vB7q6p7uicnZoYoYQBJEgTEiCAigop5zWl33f02J93krm4Orptdd81514CoJAUDEpQgOQw5w8Dk2Lnrfn/0TDM9Xd0zA5O57/PMA1NddetU9/StU+ee8zv3IWN8brYhQ0j/x98RaWmI5CSE04ExdCjZr/8vlLdscZw0TaS/mTnNnQgVUVZ0KDXPPBvSamz4pXK78S5ZAlZpQZqGrRt3gHK73cydOxefz4eUkkAgwKZNmygrKwt3uYvF0KFD8Xq9rF+/PpzTO3LkyLBM2+mQnZ2NzWaLKrjTdZ2srKyoaHBjAoEAn3/+OYMHD7ZsFiKEYMKECYwePZrKykqSkpLC++Xn51NRUWHpFB84cACXy0WfPn06ZQqGQtHdOHLkCFVVVRGOr2maVFdXW9YTQHzlm66OlJKSL9yKf/v2cPTW/c67+D5bRe6ypXHbPtvOPpvMp5+k4oEfEiwtBSlxTJ1Kxp//dNp2GUOGhpqGNcZux37uudS++DLSF7uAWrpc+FatwvPBh+G85MYkzrwS5+XT8O/YgZaUjDEwlM7hnHEFtU8/E6XDTCBA4OAhXG/OwTFrJlqc96YzoRzlboj0+3EvXIRn8WK0zEySbrs1JONW/7qU+FavxrdpM0bv3jimXx79VNsGmC4XsqYGrUePsFPjW7PWumo2xlOsSEgg5VvfbEszOwSfz8eWLVvYtm0b3kZLZcFgkMOHD1NZWUlanLbgQghGjx7NqFGjcLlcOJ3O0065qKd///6sXbs23NQAQvnDqamp9O7dO2Z+YmP7jh49GqGI0Ri73R6WjKtnxIgR7Nu3j/LycgKBQPhmbJom69atwzAM0tPTufrqq7FZRVAUii5AYWEhu3btQkrJoEGDoh7+KioqOHLkCIZh0L9//5iaxq2JaZp4PB4cDkfY0Y3VmCTW6k59u/ruhjRNXG/OofqfjxPcty8ysBMIYFZU4Jo3n6Sbb4o7juPSS8ldswrzxAlEcjJarP4CLcTo3QvnVbNCXXbrHVZNQzgcJN93LxU/fchaYaoB0uXCvXBRTEcZQk1K7I2CV/YxY0i85Quh1AyPJ1TgJyUIQe3Tz+ByOhG/+CXZb8897ch5e6Ac5W6G9PkoufkW/Nu2hUTAdZ3aV/9L+u9+S9LNNyE9Hkpuux3/lq3IQABhtyESk+jx9lsYDVoJxxxfSjyL3qPm2WcxKytxXnklyV/6IlpqasxjTJeLih/+KNStTwi0jAzSf/87nJdPw8jPx7fBIkfLAtv48aT/4mFsQ4a06D05Feqvs/a11yBoknjTDTivuipmvtbpEAgEeOedd6iqqop5s9E0LVyh3hT1BXCtia7rXHvttaxevZr9+/cjhCA/P58JEyYghKBXr17s27cv7hj11fgNqampYd++fUgpYxYgGYbB7NmzOXjwIEeOHOHgwYO4XK7we1Wv2bphwwYmTpzYatesULQXq1evjuhKuW/fPgYOHMjkyZMRQrBq1Sq2bdsGhB44P/30Uy6//HL69u3brPGLi4vZsGEDlZWV5ObmMmbMGFLjzNlSSjZu3MjGjRsxTRNN0xgzZkz4OMMwmiXnmJyczMSJE8lvQZHY6VBUVMTWrVtxuVz07duXYcOGtZmUZMUPHsQ9712ky1r7Xbpc+DdtgiYcZQh9pnqedbe80yHjz49RnZ9P7fMvIGtqSLjoQtJ+9hB6bi6Oyy7D+8my+M1ChAAtcs42q6txz1+AWVyMfeIE7OedZ7mal/7rX+G89lrc8+fj+/xz/Fu3Qd3fjKytRbpclH/r2+QsmNeq19wWKNWLbkbta69T+dDPov74hdNJ3uaN1Pz7P1Q//i9oGAHUNGyjR5Mz/92IYwJHj+KeNw+8PhyXX45t+DAqf/d7ap999uTkkJCA3rMnOYvfi9mNr+Se+/AuWxZZeet0kv3m64ikpJDKRRONJoTDQc4nHzdbeu50Kfvu9/A06DgkEhNJmHwJmU892epL/Lt27WLFihVxUxcMw+Daa68ls53UR1pKZWUlc+fOxe/3xxXLdzgcXHfddaSkpLBjxw5WrlwZ3l8IwdixY+Oming8Hl5++WXLfMekpCRuv/3207+YVkCpXiiaS32zncYPyYZhMGvWLEzTZNGiRVHzg2EY3HXXXRF1CT6fj71791JbW0tubi59+vTh8OHDfPDBB+HjhRDh+SSWvOLWrVtZs2ZNxDnrdc+HDx/Oq6++isfjiftdt9lsXHTRRXFXkFqTnTt3snLlyrDNuq6TmJjIDTfc0OrOcmDffk5MuzyqUK4hwukk9WcPkXz3Xa167tZCut0UzZxF4OChuNdBQgJZzz+L45JL8G3aRMkXbg0V8Hm9iIQE7BMmkPXCc9b50HUUnjsB06rrqs1Gzw3r0DqBzGe8Obt7Jg2dwbjfedf6CdEw8K1Zg+u11yOdZADTxL91K8EGXXNq33iTE5dMpuoPj1L12J8pvvoayn/4I2qeejryCdrrJXjiBK7XXrO0J1hYGOUkQ516xb+ewDZ4MFkvPI/evz/E+aJJ02y1Jamm8G3dhvvdeRHvo3S58H6yDN/ata1+viNHjsR1kjVNIzs7u9M6yQBpaWnceOONDBs2jMzMzJi2er1eVq5cicvlYuXKleFUDtM0CQaDbNiwgbIu2r1JoTgVYnWZDAQCHDx4kF27dlnOD0KIiGNLSkp49dVX+eyzz1i/fj1LlizhnXfeYfny5RHHSynx+/2sXr06pk0bNmyIOmcgEGDjxo3h1aXc3Nwm844TLLT324JAIBBVJxEMBnG5XGzdurXVz+dbtw5hxFldFCLUfOu6a1v93K2FcDrpMX8eqd/7LraRIzBGjrC+B3u9lH3tG5h+P2Vfvh9ZXQ0uV6g1tcuFb80aal/9b/tfQDuiHOVuhkiJ4UzWd8UxY6Q4CBHOCw6WlVPxwx+BxxvKHw4GkR4PrtffAN3iT8btpvrxJ/CuWhX1UvBYoXX+s5QE9h8AIOHCC8hdsYyeG9eT9rvfRvegt9lIuOgitHaSAfOuWG6ZCiLdbjxLP2n18yUnJ8e84dR315oxY0arn7e1SU5O5qKLLuLGG2/kxhtvtIy8Syk5fPgwBw4csHzdNE327t0b8xwOh8PSCdd1vd0iVwpFaxJLLULTNGw2W1y1iPrXpJR88MEH+Hy+sLMYCAQoLS2l1kJmE0IO+p49eyzHj9VK3u12I6UkJSWFa665hrvvvptrr73WshZC1/VwG/u2JtbDdTAYbJM22lpODxAx3CchsE+cQI9334mbktgZ0JKSSPnG18l5/z1y338v5Cxb4ffjWbQIs7wi6iXpduP6n3WgrJ7EG66Hxg9NQmAbPrxTRJObQjnK3YykO+5AJEZXkorEROznnotj9mywcFyNQQPDXYC8H32EsGpO4fdDjCpZ8/hxSu+4i8rf/DbyvBnpSKuJ2jBIqGtfDKHoiJaeTtKdd4Q0FuvbWjud2EafQ+bf/xrnqlsXLS3d+snabkdvgy/12WefbekoJyYmcs899zB16tTTWjo0TZPa2tq4Ueu2IJbzH6syvrlMnToVh8MRLtyz2WxkZGQwduzYUx5Toego+vfvb7m9vg4gPz/fslmQaZphR7SmpsbSIY4nn2iaJsuWLWPevHkR+wWDwZiFgmlpaRFOvc1mIycnh8mTJ2MYRritdWJiIrNmzWo3pQu73R7zgaItotoJF12ESEmBxtdXlyLY4605p1WkJqUkWFyMaaEf35Zosd4r0wQtTgS9ifk85dvfwjZkMCIpCYRAJCWhZWSQ8Y+/n4a17Ycq5utmOC6+iOSvfpXqx/8VcnaFQNjtZL/8EkLXSf32t/B+/DHBw0eQtbUh6RqbjcyGf7CxcnCFgMTEUCOQGBHXmmefJenWWzEGDsAsL6fkhpssv0TC6ST56/9ncQpB+i8eIeUbX8e/fTt6r17Y2jlS6Jx5JZUPP0xjq4Wm4Zx9TaufLzU1lenTp/PRRx8RCASQUpKWlsb06dNPq5sewI4dO1i9enXYSR46dCgXXHBBq93AAoEAhw8fJhAI0KdPH5wNVgMGDRoUFbGqj5D379+fVRYrEPWvxyM9PZ3bbruNffv2UVNTQ3Z2Nn379lXycIouicPhYNq0aXzwwQfhv2HTNLnkkktISUkhOTmZAQMGsH//fgKBAJqmIYRg8uTJzXqAttvtBINBS6e5Puq8Z88ehg4dipSSRYsWRSnvQOi7ef7551ueIz8/n/79+3PixAkMwyAnJ6ddv4/p6emkp6dTVlYW8RBuGEabNGERuk6POW9Qet+XCBw4gNA0RGIiGf/4G7ZBg05rbN+69ZR/57sEjhwBKUmYNImMf/wtZqvpliJNE9+nnxEsLMQ2dkxEN76k22/Hv3lLVPqmlpGOY+aVaL/4JUGL+qfEW74Q95xaUhI9Fi7Au/QTfJs2YfTt26Xk4VQxXzdDBoME9uzB9HgJ7t+HlppGwsUXRSTay0AAz+Il+Navx+jXD+e1syOWiMyKCgrPnRCVyyycTjL+9TjVjz2Gv2CHtVJFQgJpP/0JyV+8j8rHHqPmL3+zdJQTZswg8x9/Q7PQ1O0MeFetovSLXz7Zr14IMp94HMeUKW12Tikl5eXlGIYRtyK9uRw6dCiiiAdCy6FDhgzh4osvPu3xjx07xvvvvx/+3TRNJk6cGL4xeb1e5s2bR3V1dbhyPjk5mauvvhqHw0FBQQGffvppRDHfmDFjOPfcc0/bto5GFfMpWkJVVRU+ny/cgbJPnz4RTrCUkqKiIg4ePIjNZiM/P5+UlJSIMV5//XUqKioitum6ztixYykrK+PAgQMxo659+vRh5syZHD9+nHnz5lmu+KSmpjJz5sxWmZvagpqaGhYuXEhNTQ1CCEzTbLI4uDUIHDyIdLsxhgxBnGYAIniskBOXTolchTUMjAEDyPn4w9N++AgeK6T4xhsxS0oBiQyaOC+/nIzH/4HQdaRpUl5fyA6hYJuuk/36a9hHjsC3YQMlt9wGpol0uxFOJ/Zzx5H10otxi/m6AvHmbOUodyPcixdT/r0fgM+HDASwDR9O1lP/Qe/ZM2I/aZqhaHJSUswvtuuddyn/3vdDvwSDoOskf/lLpP3ohwBU/OKX1D773ElHsg6RmEjar35B0i23cPzCiwgeOBjTXq1XL/JWfdomkmutgfT78a1bB0ET+4Tx7aI13Zq8/fbbFBUVRW3XdZ277rrrtDSHA4EAL730kmUDktmzZ5Ndl8YjpeTYsWOUl5eTkZFBr169Iib76upq9u/fj2ma9O/fv9u0o1aOsqI5lJeXs2TJknCzjoSEBC677DLyGkmF1RfgGYYRczWorKyMefPmYZomgUAAXdfp0aMHM2fORNd1Dhw4wIcffmgZWR44cCDTpk3j008/jVv8pmkat9xyS6vLT7YWUkpKS0txu9306NGjXbSmW5OqPz5K9RP/juotIJKSyHr5RRJOU/6yePa1+DZsjAxyOZ2k/eRHJN93X3iTf8cOvKtWo2dl4Zh2WUTTFLOqCve78wgWF5Nw3nnYz5/ULVbz4s3ZKvWim+DfuZPyr30d6T4ZBfZv3kzJLbeRs/SjcF5ozb+eoPqfjyNdLrTUVFJ/9EPLvuuJs68hYdJ5uBcuQno9OKZdji3/5JJS8n33UvviS1GOMlLirCs8k9U1cW02jx3D/c67JF5/3cltLhfBY4XoPfNiys21F8JmI2HSpA61obnUt4yGUBc9TdOorq623FcIgcfjOS1H+fDhw5bbg8Egu3btCjvKQgh69+5N7969LfdPSUnhnHPOOWU7FIquSjAYZN68eRHNegKBAAsXLuTWW28NpzEdOnSIFStWUFtbi67rnH322Zx33nlRBXSZmZncdttt7N+/H5fLRU5ODj179gw7Mf369SMhIQFXo6VzwzAYPnw4QNRrjTFNk5UrV3LFFVdEbKuursZut0ekXnUEQojw3NMV8O/ahVlejm3kSLSkJAL79ls34AKCh4/AaTjKweJifJu3RK8Eu93UvvBShKNsO/tsbGefbTmOlppK0h2dQ4azvVCOcjeh5rnno9tRBoMEC4/h37gR+9ix1Pz7P1T95a9QV9FslpVR8fAjkJhIkoWMjZ6bS/K991iez+jbl/RH/0jFAw+eLPwzTTKf/HdYnUIfOBCztDSu3a5580i8/jqklFT9/g/UPP1MaAkoGCTpzjtI+9lDnTbi3Fk4fvw4ixcvDkeKdF3n8ssvp0ePHhw6dChqf03TSLJ4CCkqKmLv3r3hzmC5ubkxz1mfS22FL8ZE3xQNUzAUiu7OwYMHLaO7Ukp27drF6NGjOXHiRET6VCAQoKCgAJ/Px6WXXhp1rM1mY0iMhkyapnHllVeyYMGC8HlN02T06NH06tULgB49ejTZOKiwsDD8/71797JixQqCwSBSSnr27Mlll13WbrJwXZVgYSEld91DcP9+MAzw+0n96U+wnzcR9wcfhO/R9chgENvo6IBC4PBhXK+/QbC4GMfkS3Bcfrl1IT4gvd7o4sP615rRWdXyOClDilrdtD15PcpR7iYEjxy1LrATGt5Vq/Dv20/VX/8W9QXE7ab6sccsHeWmSLr+OpzTLsO7fAUYOgkXXxyRc5z6ja9Tevc9ccfQs7IAqHnyKWqfeRY8nnARXe1LLyOSkkh74Acttu1Mwev1smjRoogUCL/fz8KFCy2juIZhMHHixKjl2zVr1rB169bwDXnHjh0MHz6cSTEi6r1797Z0lA3DaLIYrzEVFRWsWLGCwsJChBAMGjSICy64QN1sFd0al8tlmTMcDAYpLy9nz549bNmyJUqtJhgMsnfvXs4///wWf0eysrK44447OHr0KF6vl169epHYYM4ePHhwXH1lIJw7XVRUxCeffBJh39GjR3n//fe5+uqr1QNvHEruuofAzp0R9+yq3/4O5403Rvc5cDhwTJ0SUXQH4PngQ8q++lVkIAh+P+45b2EMH06P1/+HsPi70Hv3Rs/OJthYt9tuwzFrZovsN6urqfj5w7jffgcCAewTJ5L+h99F2dhd6N6PAWcQCZdOjtYfBqitpepPf6bie9+HGutUiGCDCEFL0VJTcc6aifOKK6IK8xzTLkPv1y/u8Snf+y4ANU/8O7o7n8dDzV//RtH0K0JtrhVR1Ld/boxpmpaNDIYNGxZeZq2nvLyczZs3R9zwAoEAW7dujalPmpiYyIQJE6KWfx0OR8w8Y5fLxbp161izZk1Yysrj8fDOO+9w7NgxpJRhHeUFCxbg9/uprKxsd1k7haI9yMvLs3QmhRDs3r2bpUuXUlxcbHmspmkx9ZGbQtM0+vbtS35+foSTDKHv9dChQ+MeP3r0aICoOQNCEcbjx4/z0ksvsXv37lOyr7vj37UrFEluFNiSbjeuV16JKn43Bg8m84l/Re7r91P69W+EUi3r20K7XPi3bKE2hqaxEIKMf/wt1E+hPu1OCIRu4Jg82fIY6fVS89xzVPzil+F7sJSSktvuCDnJPh+YJr7Vqym+ejaBoiICBw9ilpe3+H3pzChHuZuQdMsXQjrIDQvO6p0Yjyc6l7gBel5PpJRInw/X3LmUfed7VP3x0ZA8zWmS8fg/Yr+YkIBRt+QX74vl37adkptvIWCRRnCm4/F4Yi7fWkWrtmzZwtKlSyPyInft2mW5r2maccX6hw0bFlXUU1NTw1tvvRWu3q/n888/5+WXX2bdunVs3LiRV155heXLl7Nz584o+03TpLS0lBdffJE5c+bwwgsvsGrVqtPSXlYoOhvZ2dn06dMnQgKyvpYk1ve3nmAwiNPpDBfLLl++nJUrV1oW77aU888/P2Y0WAgR1m6OVQMBoXlp+fLl7N+//7Tt6W6Y5eWhdAvLF6M/88CWLZTcehv+goLwNu/6DSGZ1sZ4vdT+N3aXPPuECSRcOSPsXCMl0u2m9L4v4l68JGJfz/IVHBs8lMqHfk7tk09RfNU1nJg2Hd+6dQR27IjMpZYS6XJx4oKLKLrscgrHjafk7nswKytjvxFdCOUodxO05GRyFi0g+f4vYwwahDFmTOiFZjgXwePHOXHpFIpmXEnFgz/C/cYbVD/xb4ounYrnk9PrRGcfOTLmpCAaVCTbhg+LO470+6l55tnTsqWzUB/t3b17d8ybjWmaSCk5ceIEb7/9Ns888wyvvvoqBQUFEQ5jr169LLtixWPPnj28/fbbYQc13s01nqO8bNkyKi0mQp/PR0P1g9LSUtavXx+1X0FBQViDuTFSSoLBIIFAgGAwyPbt29mgVhUU3Yxp06Zx3nnnkZWVRUZGRouK4V577TUWL17Me++9R0FBAdu2bWP+/PmsW7futGyy2+1x1Wfqi4B79eoVV489EAjQnVRQfFu24JrzFr5Nmywf2mVdnnbg6DFKv/JVjg0ZSuHIc6j49W8icoBtI0eedFSbe+5PP6N49nUE6uZj/5YtMe/tgZ27YgYVXG++iWfu29EveDxU/OSn4eOk10vpnXdFRb0DBQVU/eFR614LgQC43aGVYZ8P77LllH7py82+xs6MylHuRmgZGaT9+Eek/fhHeFetpuSGG5t3oMdDcO++iDbW+HxIoPyb3yJvw/q4BXXB0lJqnn4G7/LlGH36kPyV+7HXdUkTdju2USPxb9gYdZysrSVYVYV//Xoc06fj37kLLITuAfD7I56oo8by+fAuX4FZU0PChReEuwx2NiorK5k/f3644M00TYYOHcqFF16IEIJ9+/axatUqampqsNlsEUVzNTU1rFy5kqqqKs477zwAcnJy6NOnD0eOHAk7nJqmNdn21uVyceDAAQYNGhR339LSUvx+f5RCht/vjxstOnbsWPj/GzdujLlfVVUVhmE0mV4RCATYsmVLm2uiKhTtiaZpjBgxghEjRlBTU8Mbb7zRrONM08Tn83HwYKT8ZiAQYOPGjQwePDiu3nEwGGTnzp3s3r07rHrRv3//cCQ5Pz+ftWvXRh0npaS6upqamhpSUlIwDCNu8W68qHN9IKC+aVBnlYY0XS5K77gL/+bNoWI4KTGGnU32q6+gJSfj37ad8h/+EP/GTaGUBiFCjrBpImtd1D71NL5Vq8iZPw8INd9I/elPqPrt706mG9rtIUczzlwsPR6qH3+CjEf/YN3DoJ5AAN/n60iYEK10VvP4EzHPYZaUYJaXo2dm4lm6NKYz7/v88+YV2Pt8+NZvIHDwIMZZZzW9fydGOcrdEO/n6yi9486WHVRXvRq12eMlsHOXZcRXSolnyQeUfe3rIQfXNPFv3ITngw9J/8tjJF59NQAiIYaWpc3GiYmTTp47lpMMYLeHne/G+DZupOT2O+vSSyTSHyD1B98n5WvRnf86Eikl77//flRu4a5du8jLy8Nms/Hhhx+GHePGGsUQukFu2rSJwsJCEhMT6d27N5MnT+bgwYPs3LkTCDmfTeUv1nfkGjRoED179uTEiROW+2mahtvtjnKUm1K2aBgZi7evYRgYhhGumo+H1+tFSqmKhBTdDo/Hw1tvvWX5nT8VDh8+zIgRIyxfq6ioYMGCBbhcrvB37sSJEwwZMoSLLroIiN1+HmDx4sX4/X6EEE0+4MZyft1uN/Pnzw/rR5umSd++fZk2bVq7tb1uLlW/+S2+jRsj7k/+LVupfPgXpH7/exRddfXJNASruS4QwL9hI8fPvxDj7KHYzj6b5LvuxHb22dQ8/TTBomLQBP7NW+I6ygSD+DaGVtVsw84OpVZaOcyGTmD/fktHOa4KlRDhOiMzRj1TvR22ceNCOcvx7tmEJFaDx48rR1nR+aj63e+iC+NOEVlbS/n3vo92Vj8Cm7egZWaS8r3v4Jg6lfLv/wD3nLci85/rcp4qfvQTnFdeiTAMtIx068Hd7qg20bEQDgfJ990bbZ/fT+kddyEbdaSq/vNfsE+cSML4ztPlrbKykhqLCSgQCLB9+3bKy8ubnYdbny5x5MgRNm3axPXXX8+QIUOoqKhgzpw5TR5vGAZpaWkAjBw5kk0xlhOFEFEFPxAq+rHb7RG5zg2PGVOf+kOobXYs3eUhQ4YwaNAgPv30U44cOYKmaei6bjluenq6cpIV3ZLt27e3mpMcDAbZsGEDJ06coLi4GCEEQ4cOZdSoUezevZvly5dHrSIFAgF27tzJqFGjSEtLw2azxVzpcTfz3qLrenjlqzFLly6loqIiYs45cuQImzdvjpg7OgOuN96Mdgjr6nkCxUUxdY8bEzx0iOChQ3iXfkLtM8+S/cZrZD37DADHhg5rOh1D07DVSf8lXHQRWnY2plWAQ9NDjrQFtvMm4l30nuVrzuuvC6dDOqZMCUXGLe4JttGjyXr5Rap++ztcb7yB9PrQ8vIwCwujrkH6fDH1mLsSnevRTdEq+LdtP7UDYzzJ+7dswTt/AcFDh/Bv3EjZXfdQfONNeObNj10k6PMRqOvKl3TnHYhEi9y75jo9NhtZ/30V3ULX1/vZZ0iLCUZ6PNS++mrzxm8nAoFATEfP6/XibeLpPNaYLpcrnN7g9/ubjMgIIbDZbAwaFGogk5iYyGWXXRZlm67rjBkzJqLYqOEYsbpe9evXLzw2wIABA8jMzIzaLzExkZEjR5KSksIVV1zBF7/4Re69916mTZsWdU5d17ngggviXpdC0VU5fvy4ZVHuqeJyudizZw+VlZVUVFSwevVq/vvf/7JixYqYqVZCiLBGckslHq2YNGmSpUSlz+fj6NGjUQ/m9QGDzoaM5Qj7/fhWftryAX2+UADqBw+ePEczdIxFQgIpX/966P+aRo9570BjGbi6lVf7qFGWYxgxGj9puTlk/ObX4d/1zEySvvwliwEMMv7xNzSnk/Rf/ZJeOwrovX8vOe/MRUtOPikgAAink+SvfgWtLiDTlVGOcjdE79Wz6Z0ak5KMY/r0SNWMOPhXrUbG6eIkAwG09NAXxDF5Mklf+hLY7aG22cnJiJTkiLaYTeH98EPr88SyQUp8q9d0KqWMzMxMSydW13V69+59ytFS0zTD+cJZWVlxxxFC0LNnT6688ko+++wznn/+eZ5//nkKCwuZMWMGPXr0QNM0EhISGDt2LGNjpLvU1NTEzD9snGohhOCGG25g0qRJpKSkkJyczNixY7n11lstnfBevXpx1VVX0bdvX5KSkujduzdXXXVVuNpeoehunMpqSX2XvuYW89bW1sZdsWr48OtwOLjsssswDAObzYbNZkPTtBbZuGfPHsvt8Woi3G53zDSwjiLh4oujg0hCYJ80Ka6aVFMEdu0KpzgkXHC+deBI00DXMQYNIvPZZ/B8spRj507g6JCzqfz5I2S9+gqOWbNCDnNiIo6ZV5L14vMxz+m2KuQDZFV1lNOd/vDPyXzheYwRw9Fyc3DMnk3u52uw9e8fdbyek0PO4vdJvPkm9F69MEaOIP3RP5DaTXogiM4quTR+/HjZnSpm2xP3/AWUf+e7LUq/0HJycFw+DffHS5ENCrFOCU0j4aILyf5vZEQ3WFiId9UqtLR0bOecw/HzJkWLq8fAGDGc3MXvR203KyooHDfeOldK1xEJCWS9+oplvlZHcOjQIT744INwTq5hGKSkpHDVVVfxyiuvxL2JxCMzM5MbbwwVb+7fv5+PP/444hzJyclcffXV6LrOtm3b+Pzzz6NumikpKQSDQfx+f1iiavDgwVx88cVRN8jS0lLeffddy+Xi9PR0br755lO6jraktrYWr9dLenp6m+dBCiHWSSk7xx9dO6Hm7FOnqqqKN998s0Wa4Xa7ndzcXDRNiyrqOxUSEhK44447Ihxvv9/PkSNHkFLSp08f3nnnHcpboJH75S9/2dK5fv3116lolC5Xj2EYTJgwgVExoqLtTeDAAYqvugbT7Q7drxwOREICPd59h7JvfJPAli2nNrDNRq+dBYiEBPx791F81dWh7nleLyQkIOx2sufOQe/XD9/y5ZR9/wFo/J4lJmIbMpjArpOa1caQIWT/71W0lJSoUx4dMMg6VUQIeh3YF7OrX0dhVlQQLCxE79cPzaKbbGsSb85uU0dZCNEX+AtwOSCAD4DvSCmbDPOpSff0qHn5Fap+9/tQxLW5LYUN47SekMMkJJD70YcY/eMn8Ne89BKVj/wyLFpOgh281rbaL7qIHq9Z60PWvPAilb/8VWiCseoWNzif3KUft/w62ojKykoKCgqora2lb9++DBo0CF3X2bhxI59//nmEs1yf77tp06aYTrRhGJx//vkMG3ay4LK8vJzt27dTU1NDv379ME2TDRs24IqzChBr7IsvvpjBgwdHbA8Gg7z44otRjrKmaYwcOTJmR7+2wOPxsGPHDioqKsjJyWHw4MERxYcul4sPPviA4uJiNE1D0zQuvvjiVllejkVXdZTVnN1xFBYWsmzZMqqrq0/5gfl0uOyyyyJSpqwoKipi/vz5YflGXddjpozYbDbuvTe6rqThOLGKeHVd54477ug03TnN8nJq//s//Ju3YIwYTtLtt6FnZuJds4aSW26LDNToOsnf+hY1//lP6H5qdf+12XBMv5ysJ/8T3hQsKaH25Vfwb9qMbdRIbCNHUP2nx5pOpdS0yCJAux3n7Nlk/vXPUbsW33gzvs8+i9puDB9O7pLoQFRbIT0e3PPm4/1sFXq/PiR94QvoPU+uhEu/n4of/wTXW3MRNhsyECD5y18i9YcPtlmdSoc4ykKIRGAT4AUeAiTwayAROEdKGbcsX026p48MBjErKnC9O4+qX/06VCHbHl3ObDYSv3AzSbfeQvW/niB44CD2884j5f++GpUW4tuyhdpXXkVWVOKYeSXVjz9OoGBHRDWvSEwk84l/4Zh2WcxT+rZupfjq2daTkmHQc8smtDhySZ2FPXv2sGHDBtxuN7m5uUycOJGMjAzKysrYtWsXbrebY8eO4fV6w9Xi+fn5XHLJJTEnkJ07d7Jy5cpT7nCXm5vL7Nmzmxy3PmXjxhtvxOl04vf72bFjBwcPHsThcDBixAh69jyFtKA4lJWV8e677xIMBgkGgxiGgd1u5/rrrw8XIc6ZM4eysrKIG7JhGFxzzTVkt5GMYFd0lNWc3fFIKfF6vZSVlfH+++9jmmar5i7HIzU1lVmzZrF582aOHz9OWloao0ePpkePHhH71dTUUFBQQEVFBbm5uVRXV7Njx44IO3VdZ9iwYXHrCmpqapg/f35UcyIIOdlTp07lrC6gluBbt57KP/yBwPYC9P5nkfr97+GYMoVgURG1r79O8MBB/Fu24t+9G2GzgWli5OeT/d9X0GKogvh37KD4qmtOvSjfbqfXvj1R9wT/9gKKr70uFLkOBEKrrnY7Wf99lYQJ40NKVgsXUfvaaxAMknjjDTivuaZ5cnDNxKyupviqawgeOxYK5NntCMMg65WXSJg4EYCKX/6K2hdejFhxFk4nqQ/9lOR77m41WxrSUY7yt4E/A0OllHvqtg0AdgMPSimjH3caoCbd1iV44gTu9xfjevNN/Fu3hfKhmpn2cEo4naGnXJ8vFOW12RCJieS8txAjTlvrYGEhJbffSfDwYdB1pM9Hyre+Sep3vt3kKY9POI+gVdqIzUavHdsjGpx0Zer1R2tra+nRo0dcvVSAl19+ucWR5IY0TOtozPHjx9m8eTO1tbX06dOHUaNG4XA48Pv9zJkzJ+ImWF8FP3LkyFO2pTFz586NavMrhCA/P58pU6ZQVlbG22+/HfWQIIRg8ODBXHrppa1mS6Pxu6KjrObsToTf7+fgwYPs37+fgwcPomlam7Zz13UdIURElNcwDKZNm0a/eHN2MMhHH33EoUOHwhHmPn36MG3atCbzpz/++GPLVtc2m40ZM2a0+oN1R+Lfswf/9gKMs/phO+ecuJHRsq9/A/e78+LLxcVD0+h16IDlOQIHD1Lz7//g27gJ27BhJH/tq9jy8wEo/b+v41m48GRALSEBx6WTyXzm6VaL5Fb+7vfUPPlUVFBL792b3NWfgWlSOHSY5UOC3rs3eWtWtYodjYk3Z7dlQso1wKr6CRdASrlfCLESmE1oQla0MtLrRbrdiLS0UDtUr5eal17G9fobCE0j8bZbSPjrX/B89DFVv/ltdARW0xApKeD3I+uF0yHk7LZEvqjxH7nfj6yupuqPj5L5z5NtrRvq4spAAL1nT3I+XEJgewHBkmLso0fHfOpuTNLdd1H9l79GVhDbbTimT+82TjKEnLy8vLxm7ev1ek/LSdZ1nfy6SbQhe/bsYe3atdTW1pKamsp5550XEf1Zu3ZtVKQoGAyyatUqhgwZgmEYHDt2DJfLRU5Ozik1G/D7/ZSUlERtl1KGczZdLpdlPnJ94wRFBGrO7gDqm4fY7fbw3+r+/fvZsmULXq+Xs846i5tuuonS0lKWLl1q6SwbhhGeS8Pd1Zpog90Yq8h1IBBg+fLl3HbbbSfn6QZztmmaaJrG5ZdfTnV1NRUVFaSnp5NikR9rxfDhw9m/f3/UNdlstmbPcV0FW35+2CGNh/T78a39/NSd5LpCw8aOrW/DBiof/gW+zZvR0tNJvv/LJH/1K4i6vznPsuV43n03ciyvF8/HS/GtWUPCeefh27IFf8EOjAH9sY8ff0rOs3vefMuVX7OsjOChQ2g5OTGVRsyyshafrzVoS0d5BPCOxfZtwE1teN4zEul2U/HTh3DNfRukRM/LI+13v6Xmn//Et3FTOHpc+cs9JFxwAVkvPIdnwcKQaHgDB1gkJJD1v1cRUhI8dJial17Gt2pV/E5AzcU08SxfgZSS2lf/S/Vjj2GeKEJkZEAwiKyqQsvJIfWHD5B0yy3Ymh4xguSvfgV/QQHuRe8h6jod2UaOIOPRP56+7V2Qw4cPs2TJktMaQ0oZ5SivWLEiQsapoqKCDz74gGnTpoWd5R07dsQc78CBA6xduxafzxcuGhw4cCCXXnppiyZeIUSEY9CQ+khWdna2pQOg67pS0YhGzdntiJSSzZs3s2HDBgKBAIZhMG7cOHw+H5s3bw47j5WVlezevZsbb7yR0aNHs2nTpgjH0jAMJk6cSL9+/SgpKaGoqIht27a1Wp6z2+3G5XJRWVnJp59+SllZWbhRkMfjCXf2mzBhQrMd5Hpyc3OZMGECa9asCT8k2Gw2Zs6ceUZqpgcOHaL42uvjNwZpCilJbiTt5nr7Hcq/+a2w820WF1P9578QLC4m/eGfA1D15xjPwT4friUfUPXYn/Gv3xBajRag9+9Pj9f+h5aR0SLzRIy8c2maiIQEhMOB3qc3wYPRZRG2MaNbdK7Woi0d5UzAqjy2DGjZO6tokrKvfQPPJ5+En9SChw9Tdt8XQ4n+DSOsbje+zz7Dt249Wc89Q9k3v413xQqEriMSE0l9+Gf4P19HYM8ebGPG4Fu9unWc5DpkSQnHR4/FrK4O2yobVFGbRUVUPvRzMAySbrwRaZr41q1HVlZiH39u3OiyMAwyH/8ngcOH8RcUYPTti61BgduZhN/vZ8mSJae9VCulZNu2beHGAevXr7fUOg0Gg6xZs4azzjqLQCAQ87xSynBRYUMHd//+/eTl5UUUJDaFYRj06dOHw4cPR4yl6zpDhw4FQjJXo0aNYuvWrVG51MOHD2/2uc4Q1Jzdjmzbto1169aF/y59Ph9r167FNM2Iv2fTNPF4PBQUFDB27Fh8Ph/bt28PO5L16U6bN28mJSWFo0ePtmpes2mavP766wQCgbBdDb/jgUCAbdu24XK5mDp1KhAqJq6qqiIzM7NJ53nUqFEMGTKE48ePY7fbycvLOyOdZAjdx83i4lOPJtdR/ee/4Jx+ORDqNVD+rW9HjSndbmpfeJHU734HLTWV4L79Mcfzf7YKf0FBRNFiYNduyn/0Y7L+8+8W2ZZ0151U/ua3kavOmoZt6FD0ulWE9F//mtIv33+yQF/TEI4E0uqc+vamrbVArBKgY34DhBD3A/cDcXOiFJEEjxWGnOTGEml+v3Vbap8P39q1JIw/l+yXXiBYVo6srsJ0uym5/saQILrbDS+/0nwnuU7o3Ld5c3TaRSOaelqWbjfVf/wT9jFjKb3tdsyKCtA0pM9H6o9+SMr9X457vNG3L0bfvs2zu5ty5MiRVrnZSCnZt28f5513Hj6fjw0bNsTct7KyEogf6YVQEU+sZgMtcZQBJk+ezLx58yI0YnNychg3blx4nwkTJpCVlRWxlD1mzJhOU1HfyVBzdjtRH0luSCwHNxgMcujQIcaMGcP555/P+PHjcblc2Gw2Fi5cyJYtW07poTgjI6NZcm9NdQ0MBoPs37+fyspKli1bRlFRUThfuX///kyZMiWuJGNCQkKXKNxrS4Klpfi3bYvtJMfolGeFv6AAs6YGLTmZyp8/EvM+Luw2AocOYx85Ai0rM+a9ObBvn6V/4Xl/MTIQaJGsXNJdd+JdtQrvBx+GrknX0FLTyHzypMPtmDqFHm+8TtXf/kZg9x7so88h5bvfCXcmbG/a0lEuJxShaEwG1lELpJRPAk9CqDCk7UzrXgSOHkHY7aFK1oZIafnlEgkJ6A0qmfXMDMjMoOiqq5FVVSf3j+UkCxGKVNe/brej9+pF5r/+yfELLmqVawoWFlJ6+x2h4rwG9lf/8VHso88hIUZr1O5KLDWMWLSmvFR9GkNFRQWapsW8mddHjtasWRNzrCFDhrBv3z7L107lRu90OrnpppsoLCykqqqKrKysqCp9IQSDBg1qUvpKoebs9kJK2exW0PUkJyeH/2+z2UhLS2Pt2rVUVla2OIIshMAwDC6//HLef//98EPu6aDrOitXruTEiRMRah0HDx5k48aNEQ+vZwIRahhnnUXqA9/HEa94uKn5r4XCC/VKFf4YaXAA0uvD6NMb9/vvE9h/wHIfY8Rwggdi6HSbwZAf0AJHWeg6Wf/5N/6dO/Gt34Cel0vCJZdEKWvYx40l+4Xnmz1uW9KWqvvbCOW8NWY40Pn6VHZhbPn51snvhhHRUvLkdh3HzCsjNpkuF/4tW5v+MjqdGPn5pHzvu+gDB6D36kXSvfeQ/ttfU/33f2AMzm92d794aDk5mOXlUfZIj4fa51+I2j9w8CC+jRtPXU6nE7Nx40aWLVtGeXk5Ho+HgwcPMnfu3JiC/QB9+vRpFWe5Pv8QQi2n47W/HT9+PFVVVWzfvt0ymty7d28uvvhi7BZ/H7qun7IjK4SgV69enH322VFOsqJFqDm7nRBCxFSrseqAZxiGZQOOvXv3Nukk67qO3W5n0qRJZGdnk5iYyIABA7j88svZtWsXycnJrbL6FAwGOXr0aNQcEas1tdvtpqioCE9bqi91EN41ayj5wi34Vn6KWV6Of+NGyr50P65358U8Rs/NjasI1WwMg4RLJ4c738bLIU68+SZESgoVP3jAslhfy8kh+3//wzF1arQvIQS20WNi5hw3hW3oUJJuvQXHlCmtKj/XFrSlo/wuMEkIEVb1F0L0By6se03RSmgZGSTdeUdkS2ghEE4Hmf9+Aq1nT0RiIsLpRO/Xj+zXX0er05g9uXszJkq7neSv3E/ORx+Q+p1vk7d8GXlrV4MQlN59L7Uvvkhg67bQeBkZaL17oZ3CcppwOEi8+abotqEAUmKWV4R/DRYXU3TVNZyYOo2SL9xK4TljqHn5lRafs7MSCARYv3695RLtunXrYh6XkJDARRddhK7rp9WFrmfPnmFHOTk5mZ49e1qON2bMGAYNGsTRo0dj/i2lpqai6zpTpkzBMIzwOPXdCc8555xTtrMej8fDp59+yquvvsqbb75JQUFB3La9igjUnN2OTJo0KUo+zTAMLrnkEnr06IGu69hsNux2e3hbY5rz3c7Ly+OOO+7gnHPO4frrr+eOO+5g8ODBvPfee2zcuJGjR4+iaRqGYZCUlHRK2uKGYViq49TTMHXDNE2WLl3Kq6++yoIFC3jllVdYvnx5hzRZaSsqf/WbqKCNdLup/MUv485HGY//I6Q6dRoqTVp2FhmP/Sn8e/L/fTXSN6jDdv4k0n/zawL79iE9Fp1tAZHoRM/MIO3nP0PLzDw5jsOBSEkm40+nXygv/X6qn3yKE5OncPyCi6j8wx/Drb07C22ZevEU8A3gHSFEvXj9r4DDwH/iHahoOWmPPIzRvz81Tz6FWVFBwqRJpP70J9jyB+GYcQWBXbvCPeOtHBnhdJJw0UV4ly+Pk3IBzitnhOVkANxLPqD2340+Tp8PdJ2sF57Ht3MnlQ88GN/4hAS0tDTM8nKMvn1J/cmPSLjwwpDWopWdV87A89HHuBctwrN4SSjyHAyGkyurHvkFtsH53SI9I5aEWb2WcjyGDh1KXl4ee/bsoby8nIMHD7ZoidYwDIYOHRpxM542bRofffQRR44cQdM0dF3nwgsvDN8kExISLP++NE3DUTf59+7dm5tvvpmCggKqq6vp06cPAwcOxDjN9qk+n485c+bgdrvDN93PPvuM4uJiLrnkkhaNdeDAAbZs2YLb7eass85i9OjRYfu7MWrObkf69+/P9OnTw+kT6enpTJgwgT59+jBkyBCqq6vxer1kZGTE1CM+++yzWbt2bczvtRCCfv36RXy33G43ixcvjnDYgsEgmqYxYsQIzj77bF588cUm7U9OTsblcmG32xk1ahSjR4+mqKjIMue5d+/elJaWsnPnTo4dO0ZFRUVEesbu3btJSkrqNukZfosIOoTUJqTLhYjRjtk+ciS5n67E9dZbBPbsxfW//7VMlhVwTJ+O3uBhJ/kr92OWl1PzzLMIXUcGgyTdfRdpD/0UoWloKSnIGH8/Wlo6AHqvnuQu/wTXG2/g27AR29ChJN56C3pWVotss6L0S/fjW7ky/GBR858n8bz/PjnvLQqpVzUT39atVP/t7wR27cI2ahQp3/pmq+U0t5mjLKWsFUJMJdQO9SVCBSEfEmqH2rkeF7oBQgiS772H5HvvsXzNVqcCEI+MP/+JE1MuQ8bIV9NS07A3ahZREcMJlm437sWLSXnwASof+ll0IUADbMOHkzM/OmCV9rOHqPr1b0K6yFKGIuIDB+D95BOql68IdfWJce6aJ5/qEo6yaZrs2rWLnTt3AqEc3obOqdPpjJm725SYP0BaWhrnnnsuUkrmzJkTvkE1l8YV63a7nRkzZuDxePB6vaSkpEQ40v369bN+EBMirEQBoZvshAkTmmWDlJKtW7eydetW/H4/ffv2ZcKECRE5mxDqFOjxeCKuLxAIsHv3bsaNGxe1fyzWr1/Pxo0bw+97VVVVWJ6rOzvLas5uf/r27UvfGIXHKSkpTSpGjBw5kn379lFUVBRznyGNnIWVK1daRjVN02Tv3r2MGTOG7OxsS43yenRd57bbbovaPnnyZObPn49pmpimia7rGIZBRkYGb7/9dkyHPhAIsHXr1i7jKHuWLaPmyacxS0pwTLuM5C/eF5HiIHTNsioWsIzuNkTPzCDlS18M7WvouP73WvNTCh0OjAEDIs+naaT95MekfOfbBAuPo/fMi1hR1vPysI8dg+/zdRF50iIxkeT7T8rMaSkpJN93X/PsADwffkTVnx4jcPgwtuHDSfvRD7GPGxuxj2/LlggnGQCvl+CRI7gXvUfi7GuadS7vyk8pvfuesK8Q2Lcfz/vvk/3mG9hHn76kXJuqXkgpDwE3tOU5FK1D4OBBSu+9D1kbu0ut84brI34PnjiBWR5HAFw30HSd7LfepOTa68Bv7fAZA/pbbk++527so0ZR8/zzmKVlOGZeiZ6VRfm3vh3TSQ7bdjwUbQ0cPkzNv57At249Rv4gUr7+dWwjOocsmJSSxYsXc+zYsbBTVlpayoEDB5gxYwZCCFwuV1wFieYihOCqq65ixYoVHDhwIKxf3NQxsZxqh8MR5TTW1tayYcMGDMPA7/dH5FpOnjy5yQ6CsVi2bBl79+4Nv0d79uzh8OHD3HzzzRE2xJLF0jSN4uLiZjnKXq+XDRs2RIxjmiZer5dt27Zx7rnnntI1dBXUnN11CAQCfPjhh3Ed2vT09Ch1l6NHj8bcv/77PnPmTN58882YzYpiKcbk5ORw4403snXrVsrLy8nNzWXgwIHMnTu3ydUsb10wxefzsW3bNvbv309CQgIjR47sVIoYNU89TdUf/hh27vy7dlH72uvkLnk/LF8aK5UB0wwVwzeTtEceRqSkUPvMs6HzaVpojFjBDp8vFCFu0BSmHi0xEW3QwIht0uOh5ulnQvdLTQvVNTkc4PeTdNedOGfPbratDal9ay6VD/4w/B75Vq6k5OYvhFtlh81dv8HyPiRrXfhWr2m2o1zx059GOtumiXS5qXzkl/SYO+eUrqEhbS0Pp+gCSNOk5OZbQgoTcaKNtc88i1lYSPof/4CWnFyX3B/nS6+FXksYM4a8LZs5MXFSSFWjIQ4HSXfdhX/3brTUVPTc3IiX7eeOI/Pck1GGsu9+r0knmYQEHFOn4N+9m+Krrgk9ZQYC+AsK8CxeQuazT+No4VJ8W3DixIkIJxlCN7/CwkKOHz8ebt8aS2nCqiguHg6Hg2nTpoVvhiUlJSxdupSqqqrwxNrQMfb7/SxYsKDJFrYQWs6dM2cOXq83YuLr378/l1xyySmnVdTU1LBnz56I65dS4vf7oxzX1NRUy4cKKSVJMZY6G1NaWmr5fgeDQY4cOdLtHWVF12HZsmUcOXIk7gpRRUUFb7/9NlOmTCEtLQ2IX49S/5rD4eC2225j3rx5USleuq4zcuTIcOfNlJSUiDFTU1O54IILwr/v2bMnrlpOPTk5Ofj9fubOnUtNTU14/xMnTjB69OhO8d0za2qo/P0fInsTeL2YpaXUPPscqd/7bmibzWadwtjCehFhGKT98EFSH3wAfD7MykrKv/UdvKvq2jjreqQtpknlzx8msG8faT/9SdyxpWlScuvtIUnX+jHsdozevcj6338xcnJaZGt4XCmp+uWvLHO0q37zW3q8/VZ4m94zD2EY0dF3hwO9b/MaQkm/n8CevZav+TZubIHlsWnLYj5FFyBYVk7pfV8keORI0yLnfj/uRe9R9uWvAKBnZ6PXOXOWY+/di2/TppATnJxMznsL0QcOAKcTkZyMcDpx3nA9pffcS/HMqzh+/oUU33gzwTg6y5ozMf5kY7ejZWaSfN+9oYKK2tqTy0mmGepg+KOfdIoCr8LCwphtYwsLC4GQzqnVcn99/vCpoGkamqaRk5PDzTffzB133MHdd98ddswb27JixYqI96veUW24bcuWLeFOe/XUa6ueTvODese1McFgkOPHj0dsGzFiRFQ6ihCClJSUZqthOJ3OmH8bzXW2FYq2xDRN1q1bF/UAaYWUkqKiIt55553wA/mARkvzDfF4PJSVlVFcXAzArFmz6Nu3b7iwUNd1+vbty44dO3jjjTd44403eO2115pM04hHvVTdBRdcwM6dO6mtrY24rkAgwMaNGzuFOoZ/2zaEzaJnrNeL58OPwr86r5wRLZlmGDiumH5KCiNCiJCsa04O2f97lZ5bNpG3fh2pD/4AGkX3pctFzTPPEmz0mZhuN7JBUMa7YiX+bVsjHW2fj+CRIwR27mqxjeHzV1eHeh9Y4C+IzN12TJmCSIq+pwtdJ/GmG5t3QsOImc4Sr0FZS1AR5TMY6fVSfPU1BA8fbv5BPh/e1asJHDqE0a8fqT/+EeVf+3r0foaB+/3FeD76GIJB9D59yHruGXKXfYJ/2/ZQZNnQKb3tdqT75BfVt3YtpXfdTc6C+eFtZkVFqKEKAufVV+F6/fXonC1dxxgyBMfl00j+8pfRMjJCXQUtnJ7g0aPI6mrEKaYCtBZOpxNd16NykA3DCDvHQgguv/xyFixYgJSSYDCIruv07NmTs88+u1XsqD9XrDxHl8uF3+/HbrezY8cO1q5di8fjwWazMXbsWM455xxLWSgI3SRLS0vp1atXxHaPx8PevXtxuVz07NmT3r17W95AUuqWERsjhAhHyOpJS0tj+vTpLF26FJ/Ph2ma5ObmctlllzX75pSRkUF6ejqlpaUR5zUMo1VUORSK02Xp0qXs3x+7i5oVgUCA/fv3M3jwYMaPH09BQYHlfl6vl7fffhshBJqmMXXqVK688kqqqqqoqakhOTmZuXPnhtMkIJTDP2/ePG6//fbwKlf9CozX6yUnRmSy/iE2Ly+PMWPGkJ6ezpo1ayxrMjRNo6ioqMOb2mhZWTH1jvW8k6uhab94BN+GjaHiPbcb4XSiZWaS/ptft44ddbnr3qUWjcYINRLxb9yEPu0yvGvXUvHgjwjs3Qu6TuINN5D2q1/gW78e6YrOfZZuD/7163FcHNkTQXq9uN97D/+OndgGDcI5a6algyqSkkJ9HSyKEPXcvMh9bTZ6vDWHsv/7Gv6du0AI9JwcMh//Z0RBYjyEECTdczc1zz4X4fQLp5PkJpqTNRflKJ/BuBctCrXLjNdYxMpJsdsJHj2K0a8fttHnoPc/i+DhI5HjBAIQCISboAT27KH45i+Qt+oz7CNDUq1l3/gm0ttI/zkQwL9zF/7du7ENHoxr7tuU/+CBkM6iAIJBEmbNwjNvfqgbUJ2NWc8/R8IF50cMpaWnE7SSmREC0QmKsgYOHMhnn31m+VpJSQnPP/88Ukr69+/P9ddfT2FhIW63m549e5Kbm9vqbV4dDodlB676iM/u3bv59NNPI1rurlu3LnzDq49CNSQYDEZFYo8cOcLixYvDBT9btmyhR48ezJw5Myr6lJmZSVZWFsXFxRGOeP3yb2P69OnD7bffTnV1NTabDWcThTNWzJgxgyVLllBSUhLOs77wwgtj3vAVivaiurr6lFZpAoFAWEFHSsnAgQM5cOBA1MNt43GXLFnCTTfdRGpqKqmpqezatcvy3FJK9u7dy7BhwygtLWXBggUEg8FwLcRZZ53F4QYBGdM0GT9+PKMbFVrFWrUJBoOdopOmLT8fIz8/pGrR4H0QTidaXk8Kx09EVlRgGzuWzMf/SfB4IYFduzHy83FcPs06Gn0a6L17h9IvGn8mQRMtpwf+PXspvfX2k4GlYBDXW28RLCrCOXMGOJ3QKJVROBxoeZEObeDYMYqvugazuhpcLkRSIpW//S095s3D6B0ZBBG6TtIX76PmqacjuvQKp5Pk734n6hqM/v3JWbSQ4PHjyEAAPUbQJB6pDz6AWV6O6625ISfd5yPxjttJ/sr9LRonFspRPoPxb9oSu3hP1xEpKaHXGzlP0udD2B2cmHoZgYOH6tpQ6uFOgCIlBVldHfnllRJZVY3vs1UkXHQhEIrsWqV7CMMgePwEgQMHwj3qG7rrnvkL6LFwPoEtWxGJiSRMnYJm4RAl3/9lqn73++jos2lS/r0fkPH3v0ZI3bU3drudmTNnsmTJknAqQ71u6q5du8I3sT179lBYWMjNN98cM9c3EAiwZcsWdu3ahRCCIUOGkJ6ezpYtW6itraVXr15NKj+MHj2aVatWRUR0dF0Pq3CsW7cuKtoTCATYsGED06ZNi7rxappGdnZ2OPJrmiYrV66MimYFAgGKi4vZvn27ZVOFGTNm8Mknn3Do0CEgdDOdPHky6TGW1eI1c2gOiYmJzJ49m5qaGjweT1x5LoWiPSkrKwu3hraifn6wWqVKT0/nvffeC2udNyz4MgyDYDAY5TibpsnOnTsZPz5UgOVyuWKmi9XW1lJdXR2R5lHPoUOHuLSuK10gEKBPnz4kNtLyh5CKh1UTFdM0WbZsGVdffXWHK89kvfAcpfd9kcCOneFcZNu55+J+7aQ6he/TTym56WZ6LFqIc8YMy3GklLjfmkvNU09hVlTimHYZjlkzqX3+BfxbtmIMzif129+OUopoSPK99+J6+21wN3i/dB29Tx9so0ZR8cMfRTcj83rxrlxByoMPILDoWW8zcF41K/xr7SuvUvGTn0ZE0mWtC+nxUvHjH5P9YnQDsNQffB9Mk9pnn0OaJiIhgdQHfkDSddfGvBa9kXPeEoTNRsafHiX1Jz8hePQIRr9+aI1WHE8H0RlyNa0YP368/PzzzzvajG5N7cuvUPGLX0Dj5RdNw3n9taR869sUX31NyOmtm0CF00niLV/AvWBhKBrd+O8n0Qker7UDnJRE+qN/ILGukrbqz3+h+p+PRy8dJSSQ8sMHqP7d762VMgyDtF88QvI9d8e9PmmaVDz8CK5nn4u2JdFJ+m9/2/w8qDZESklpXV621+vl/ffft7zRXXTRRVFSTxC6ibzzzjuUlZWFbzD1N8D677cQApvNxo033hjTWZZSsnbtWrZs2YKmaZimyYABA5g8eTK6rvPMM8/EvEHb7XYCgUDEjbZXr15MmzYtfGNbs2YNW7ZsiTmGpmmkpaUxbNgwhg8fHpWb7Pf7CQQCOByOVo+mtzZCiHVSyvFN79l9UHN221NeXs7cuXMt0xMyMjKYPn06H3zwARUVFeHvma7rpKenk5yczOHDh6Oc4frveix1naFDhzJ58mQAjh07xnvvvWc5P02cOJHVq1fH/H737duXK6+80vK1huzevZulS5dG2aJpGgMHDmTq1KlNjtEeBPbvxywrR+/Tm+PnXxh9H9N1nNdeS+bf/2p5fOWvfk3tiy+eTH+ojwzXK1sAOB1kPfM0jrr33wrXgoUhmdZAABkIYBs+nKynn0TPy6N49rUh2bdGiJQUtKwsgidORER9QymSz2IbPgwIyeCV3feluPJ0et++OGbNJPUbX4/qAii9XszKylCzktPUyW9r4s3ZqpjvDMY5+xqEPSFSrkbX0Xv2JOOxx7ANGkjOogU4r5qFlpGBPmAAqT97iITJk0PKE1YPWS53zKJAGQhgH39SOzfpnntCT30NlqNEYiJJ995D9R//FFNOjkAAz9KlTV6f0DSS77rTMo9KutzUvPhSk2O0B0IIsrOzyc7Opry83DLXNxAIWBbMSCk5dOgQ5eXlUcoQVgV4GzZsiGvHxIkTufPOO7nmmmu4/fbbmTp1ajia2jgnuB5N08I5wQ3HSk1NDTvJ9VrI8ZaMTdOkvLycNWvW8OGHH0a9Xp9K0dmdZIWircjIyCA7OzvqIdIwDK644grS0tK4+uqrGTFiBImJiSQmJjJixAimT59u6STDSUk4KyfZMAz69DmpPtCzZ09ycnIiVrZ0XScrK4uCgoK43++mGiTVM3jwYMsVHNM02bdvX6coxAYwBgzAfu44gkVF1o0xgkH8mzZZHhs4cYKaZ5+LzBGuf+8afkZuDxU//VlcOxJnzaTnpg30eGcuucs/IWf+u+HorG3suIj7az3S5QqpXFnV+gw7WftS/c9/NanhHDx8mNpnn6Vo5lWYjdM46goQO7uT3BTKUT6D0VJS6PHO29jGjQ1V6BoGCRdcQI935ob/sI2zziLziX/Rc+tm8lYsI/nuu+LnNTekwWQnnE6S7rg9Ip9Jz8wgZ/F7JN1zN/qA/tjGjSPjz4+RcOEFTeZyeT9eitkcEXafP7ZKRuMlqU5AfZvnxtQvndYjpWTjxo288MILLF68OGZTkoZIKeNqqNZjt9vJysqKWOL0eDxkZmZG7avruuXNV0rJvn37wr+bptksGyH0UHDo0CHKyuJodCsUZygzZsxgwIAB4fz5jIwMZs6cGU43stvtTJo0iTvuuIM77riDSZMmhYuAW0J9JLqhSoYQgiuvvJLx48eTkZFBRkYG5557LtOnT6cihtJBPT6fL25jlIbEkrzrLE5yQ/TevaPTGwCEwBgc2dbb/f77HL/gQk6MG9/s+0/w4MFwrU8shM2GbdgwjN69w9ukz4eekxMVuBJOZyg32eL8wRMnQgpYdQTq0t2axOcnWFyM6803m7d/F6Nru/mK08aWP4icd9/BrK0FTbPM9Q0cOYKsrMIYMhhhs2GfML5ZE5Y+cCCaIwGRnEzyPffgmDUzep8ePUh/5GF45OHwNu/atU1L1QmBf+u2CPFyK4yzhyKczuhcbIcD5/XXNXkN7U2fPn3C3fgaqy7Ut4kG+Pzzz9myZUuznc96mtudriEul4s5c+bgazSxJiYmMmnSJD7++GPLv4eGUS+rtrbxEEJQVFRk6ZwDVFZW4na7ycrKwtbKBTIKRWfGbrdz2WWXEQwGCQaDlnrqHo+HmpoaUlNTsdvtYY3xpjAMg+zsbAKBAPn5+ZYpULquc84550SowASDwWY1Rjp27FizimL79u3LoUOHIsYTQsRUx+lI9MxMnFdfhXv+gkjVBYeDlG99M/y7Z/kKyr/+jQiVp+YgHA7LqHA8ZDBIya234d+8OTKo5XSS8p1vU/v6G9aF7lIi9JBbaNbUhIJizcXtxrvyU5Lvusvy5WBxMYEDBzD690dvplxnZ0E5ygoANItq4+Dx45R+6X78W7eGvmymidarJ+k//znOK6/E8957MZdlRGIiqd/8BomNuvnJQICap58J5Wa5PTiumE7qD74fIQVjP/dcRGpK7PSOepsb5UNZ2qHrZD7+z1DXwUAAfD5EYiLGkCEk33Vnk8e3N5qmcc0117Bs2bJwlXheXh6XXHJJhPTSqTjJhmFEVZk3hw0bNuD1ei0r5AcOHMiuXbs4evRoxE1N13UGDx4c/n3duug8uXgIISwr4F0uF4sXLw7rK0spmThxoqUChkLRndF1PSpKHAwG+eSTT8IpCvUFwqNHj2bixIlRxboNEUIwYMAApkyZEvXagQMHWL9+PTU1NeTk5DBhwgSysrIibBkwYAD79++PGQ0WQjS7EO/CCy+kqKgoXJdgGEa4TqMzkvHoH9EyMnC9/ArS60U/6yzSf/tr7A0eJqoefbTFTjIOB0n33tPionPPBx/g37wlWv7NNEOFejYbVX98NFJDWQiMgQPRe4X09F1vvRV75dhKacNmw7CQ75OBAOUPPIj7nXfDihTOa64m49E/troKSFuhHGWFJVJKSm67g8Du3RHRXfNYIWXf/k4oV/nCC6h98SWChYWY5eXhqliRmIgxfDjOq6+KGrfsa9/A++GHoW55gOt/r+H58CNyl34UdtaFppH9ysuU3Ho7ZlGRpbNsGzIYW/6gZl1LwkUXkrtsKbVvvIl5/DgJF12EY/rlnTZvKjExkRkzZmCaJlLKqJuhu4mUE13XSUlJwel0UlRUFI4InXfeefTt27fF9hw6dMjy5hcMBqmqqmLy5Mm88847eL1egsEgmqaRkZERrpQHopqDNLa3YW6jEAK73U7vBsuI9SxevJji4uKwpjSEigQzMjIs91coziRWrVrFvn37ojpsrl+/nn79+nHFFVewceNGKioqwu2p6+cYm83GhAkTosbcvn17hIN96NAhjh07xrXXXhux4nPxxRdTU1NDUVGRZWRZ13UGDhwYtd2K5ORkbrnlFvbs2UNJSQmZmZkMHjy4xd1I2wtht5P+yMOk/ewhpM9nvTK7L472tcMRUnCadB6ejz4Odavz+0m88YZQV74W4vnwI8sOtkLT8H76Gcn33oN32XJ8a9YgAwGEzYZwOMj89xPhfb3LVkQpXoXHSU9HVlRESuQZBkl33hG1b9Vjf8b97jzwesMpJO5589Hz8kj70Q9bfG0dQef0FBQdjm/DBgIHDlinQHi9VP/xUXpu2UTSrbeE9l+/gZqXXkJWVOC86iqcV18VVeDg37MXz5IlkblRfn9I//D1N0i+957wZtvQoeStXY13+Qoqf/1rAgU7Qi/oOkZ+PlkvPN+i69F79iS1wTJYV8CqIx0Qt6AtJyeHadOmhVMs3G43brebtLQ0dF1HSsnBgwcpKCggEAgwePBghgwZEvNcENJXrtdgbYiUErvdTmJiIrfccguHDx+mqqqKrKwsevbsGWFjvCKfqVOn8tlnn4UfADIzM5k2bVqUTVVVVVGNQCCU07x582blKCvOaILBIAUFBTEL9g4fPszEiROZNSsk/VVVVcW2bduoqKgINzBqHPE1TZPVq1dbykKuWbOGGQ2kz+x2O7Nnz6akpIR169Zx8OBB4OSD7xVXXNEiR9dmszFs2LBm798ZELoes0ucbegQfKtWRx+TlESP+fMwBg1E6DpmbS3Bw4fRe/YMS5z5Nm+m5smnCR45TMIll5B0zz3ombFXVPUePULpGo0dXV1Hy0hH2O1kvfwi/g0b8a1fj56XF9J5bqBVHSyL3SE36bbb8K1ahW/TptA1p6eT+de/WEaUa59/ITJyDeDxUPvCi8pRVnRd/Nu2U3rr7ZYdf+qRPh9mcXG4hbV93Fgy4+g9mhUVlN51l3UBg9uNd9WqCEcZQpOO49LJOC6djFldjX/rVrTMTGyn2Lq5u6DrOmPGjGHDhg0RNzDDMJg0aVJEHrLT6YxouvHpp5+yc+fO8HHFxcXs3r2bWbNmxXSWR40axbJlyyLOpWkaeXl5YS1UTdM466yz4toca8k3JyeHW2+9lerqagzDsNRXhZDTr2mapdPtsoieKBRnCl6vl3fffTdm2gOEvqMlJSXhouDU1FTOP//8mPtLKfnoo48smxABlg2GALKzs7niiiswTTO8T48ePeI+jJ8JpP7wQUpuvT2qe1zKd76NbcjJNDUtKQmtQddV1/wFVHznu6ForGni27yF2pdeImfx+zFzfRNvvomaf/8nujueruOok9cTQmAfNzamTrPeoweWn7ymYZw9hLQfPUiwqAjpdqP36xczeCOtcqHjbO+MnNl/uYoopGlSctddTf4RC1rWR738Bw8SPHrM+kW7Hdug+GkUWkoKCeeff8Y7yfWMGTOGSZMmkZSUhKZpZGVlMWPGDPLy8igpKWHFihV8+OGHEcuwlZWV7NixI8JhDQQCFBUVsXXrVstoLcCgQYMYNWoUuq5jt9vDBT+XXXZZs+1tWDnfkMTExLAucmpqakwnGSArKytm0eCppJQoFN2F5cuXN6k6IaVsUSOegoKCcFTYiqYKgzVNIzc3l9zc3DPeSQZImDiR7BeexzZiOBgGWq+epD7yMMn/91WCxwqp+uOjlH7lq1Q/80yoAx6h/N6KH/4oVAtU/xDk9WKWV1D569/i27AhnMbYEOOss0h//J+I5OTQT1ISWm4u2a//LyJqHI/Eq64Cq5xyXSdhwsTQf3NyMM46K26Bpa1BnnZztndGVMMRRQS+despufW22B37IFRgcMftpP/ikSbHk2430uulcMy42PlOSYnkLl0aLiJQnDrbt2/ns88+C+c3G4ZBTk4OM2fOZOfOnXz22WeWkd36NtU2m43p06dbVqZ7PB5KS0tJSkqK2RUvFi6Xi7feeiucx9ywM5hhGIwaNYpzzz23yYr2bdu2RSwF67pOQkICN954Y4d37GqIajiiaC9M0+TZZ5+NG00WQpCZmcn111/f5HesvkPf22+/HVOtRtd1pk2bFncVSdE8fBs2UPKFW0PRX58P4XQiUlPJWbQAs7qa4itnWeYbIwQiKQmkSdovHiHp1lujdpFeL74NGxAJCdhGj25RUaAMBELKGRs3nTx//d+OYeC8cgbpf/g9WhMPX76NGym56QuhiHgwGOr6m5BA9uv/wz429ip0exNvzlapF4oIpMcT2YCkEcLhIPHuu0j7yY8BMKur8Xz4IfgDJFw6ObwUFNi3n/Lvfx/fuvWh8WIpNGgaWa+8opzkVsDr9fLZZ59FpCbUR4z37dsXt6NdfUMSv9/PggULuP3226PyCR0OxynnAScmJnLTTTdRUFDAvn37wp0I68+7efNmpJSWxUQNGTFiRLg1t8vlom/fvowaNapTOckKRXvSuLlQY+pXXCZPnowQAtM0OXLkCC6Xi9zcXDLq1IN8Ph8rVqxoVlOPc889VznJrUT5d78fEZiSbjfS56Pqj4+S+sMHkcEY904pwyu/lT97GCN/cJRcqkhIIGHSpFOySxgG2a++gnv+fFyvv4F35acni/f8ftzvvUfg6FFy3n0n7jj2MWPosWghNf96Av+2rRgjRpDyta81uxi/M6AcZUUE9nFjQVpEJhwOUn/4IMn33B0u0vN8+BFlX/lqqKGHlMhgkLSfPUTizTdRPHs2ZnlFXHk3NA3n7NlNaiErmkdhYaFlDm8gEGDfvn1MnTq1WUug9c1Czm6QJ9caJCQkMGbMGPbu3WtZkLdlyxbGjRsXofJRUVFBQUEBtbW19O3bl0GDBtG7d29VuKdQ1KHrOjk5OVGd74QQ9OvXj6lTp4a1xisrK5k3bx5+vz/sYPfv358pU6bw/vvvc+LEibiRaYCkpKRTkplURGOWl4eK5hsTDOJZvISMx/6Effx4fKvXxA42EQpw1Tz9dKvfS4XNRuJ11+Ev2IF31epISTifn8D2AvzbtofSSepNLyuj9pVX8W/Zgm3kSJJuvw1b/iAy/vynVrWtPVGJQ4oIhNNJ6sM/D1XM1jlVIjER+6hREU6yWVlJ2Ve+Gnr6ra0NLc14vVT++jfU/OdJTI/X2kmud4IcDrSMDFJ//KP2urRujxFH7q4+t3jWrFkkJiZis9liOs3BYLBJCbrToSZWcYeUEU1NDhw4wJw5c9i6dSv79u1j5cqVzJ07N2ZxkUJxpnLBBRdgGEZ4xcgwDBwOBxdeeGFEQ54lS5bgcrnC+sTBYJCDBw+yYcMGioqKLJ3k+jHr06QuvfTSTtf0o8sSRwWkXj0j899PYBs1MtRNL4aiBlISLIwtwXm6BHbusi7E13UCDfLYA/v2c+KiS6j+69/wLFhI9d/+zomLJ+Pfs7fNbGsPVERZEYFr4SIqf/5IKF1CStA0Ei68kMynn4zQHfYs+cC6NbTfj+ejj8Eqp6quq5+WmIR9wniSbr+tWU1DFM2jV69e6Loe5UgahhGODmdnZ3P77bdTXFzMiRMnWLt2bVTOsqZpuN1uXnvtNfx+P/379+fcc8+NUM84HTIzMyksLIzaXp9vDKG8y6VLl0alkdRLWo0ZM6ZVbFEoujoVFRUsXLgwHCEWQuB0Opk9e3ZEcWx1dTWVlZVRxwcCAXbt2hVTUSYlJYX09HRSU1MZMWIEaXWSZYrTR0tKIuGSi/F+siwyYuxwkFinSaxnZpIzfx7+3bvx79tP+f99LVqRKiEBo/9ZFF11NcEjR7GNGUPagw9gG9468nq2c8fhWb486rwyEMDWYOWx4qGfIauqTgbJPB6k10vFTx+ix2v/bRVbOgIVUVaEcX/8MeX3fyUkX+Pzhf7YTRPvihX41q+P2LdeqiYK00RLTwsVGTRC2O2kfvvbZL3wHCnf+LpyklsZTdO48sorSUhIwGazYbPZ0HWdcePGkZeXF95PCEFOTg4jR44kLy8vIhJtGAYJCQns2LGDyspKXC4XO3bs4K233opqYX2qTJgwISr6bRgGEydODEe5YylwBINB9u3b1yp2KBRdnZqaGubOnRsukoXQyozL5WLnzp0R+9YX0VpRn7vcGE3TGDRoEDNmzOCCCy5QTnIbkPGXP2Pk5yOSkkL3TYcDx6WXkvLVr0TsZxs8mMS6TrYRWs0JCQinA/eChfg3bMQsLsb7wQcUz56Nf9v2VrEx6Y470JISI4NjDgeOKVMwBp5UNPKuXBm9kiwlvk8/bTLvvTOjHGUFAP6dOym794uW6RLS48H11tyIbY4pU5BWy3QOB8lf/Spaj2xo6AzZ7RiDBmK/8IKYNvi2bKH4hps4OmgwheMnUP3U0136y9XeuN1u9u3bR2JiYjj6c9ttt8WMvgohmDFjBueffz45OTnk5OQwduxYvF5vRJTZNE08Hk/UjfdUycvLY+bMmeTm5mKz2UhLS+OSSy5h+PCTeW6GYcT87G1dpO2pQtGWBAIB3nrrLctUpGAwGPV9TUtLs2z4oWkagwcPZsCAAVFdQA3DYMSIETFtcLlcfPTRRzz33HM8//zzrFy5stUeqM8EpM+H+915CLsNvVcvHFdfRY/588h65qmY7Z1TvvZ/ZD71HxImX4IxYjjJX7kfJJFNPaREuj1U/v4PrWKnnplBj4ULcM6ahUhORsvJIeXrXyPziccj9mvcZCyM3d6l03VU6oUCgOrHn4hdLCAlwcNHwst6AHqvnqT+4PtU//nPyAb5yNLrpepPj5H13LPUPPkU7oWLELqO8/rrSH3wgZhfFv/u3ZRcf2NYhsYsPE71H/5IsLAQ+/Dh1Lz0Mng8OK+7lqS777JsEXom4/F4mDNnDh6PJ0I32eFwcE4cvUpN0xg2bFi4A9bevXstl2CDwSCFhYWMGjWqVezNy8tj9uzZMV9PT08nOTk5Shu2qRu3QnGmsG/fvrj5+j6fj0AgEF69EUIwdepU3nvvPUzTDM8TpmmyY8cOLrvsMtLT09m+fTt+v5/evXszadKkmNrmgUCAuXPn4nK5wg+1BQUFnDhxgkmTJrF582aqq6vp1asXY8aMIclilfFMRkpJyZ134V+3PqSTDASOHMEsLiHrhefiOpaOKVNwTJkCQPD4cWqefMrqBPg3bmw1e42+fcn897/i7pN4043U/u+1yBQNu53EG65vNTs6AqWjrADgxOVXENgeZ5kmIQHnzCvJ+MffI77AtXPfpuLb34mshjUMbGefTc77i5p9/rJvfBP3O+9Gp3NoGiIhITyR4HBgG5xPj3nvxnziPhNZu3YtmzZtilo+1XWdO++8s9mtY0+cOMGCBQss85ZHjhzJpFOUGjoVKisrmT9/fjhCZZomw4YN4/zzz+/00Qmlo6xoa9asWcPGOI6QEIK0tDSuvfbaiO9/ZWUlb775ZtTDsM1m47bbbgvXCTTFrl27WLFiRdRcIYSIeNjWNA2bzcYNN9zQZJOSMwnP8hWUffGLyNrIeh6RmEjWq680W8FCut0cG3lOdJtowBgxgtzF77WKvc3BdLkovfNu/Js2hQr3g0Fso0aR9fKLaJ38QUnpKCuaxD76HAI7d0Y6vA3xevG8vxjfmjUknHfeyc1Ll0anawQCBPbuxV9QgG1Y84oJ/Js3x8x5lg0VGDweAnv34V64iMTZ1zRr7DOBw4cPx8wxPHLkCMeOHaOoqIj09HTGjBlDZmam5Tg5OTmkpKRQUVERkfqgaVpEakR7kJaWxq233kphYSFut5u8vDx1o1Uo6sjMzMQwjJit4aWUVFdXs3XrVsaNGxfeXlRUZLlqZJome/bsafaKTXFxseW5pZQRY5umic/nY/369VxyySXNGvtMwLt6dZSTDKFVWe/y5XhXrcKz6D20jAySv3gfjqlTLMcRTidJt3whFMlt1B479TvfbjP7rdASE+kx5w18W7cR2L0LY/Bg7CNHtqsNbYHKUVYAkPK1ryEc8SMJ0uXCs3hJxLbg0aPWDq5hECwqavb5jfz8uI1OGtvhXba82WOfCcRa1gwEAixdupSCggJKSkrYu3cvb7/9NkePHrXcXwjBrFmz6NWrV0TUNjk5OaasW1uiaRq9e/cmPz9fOckKRQMGDBiA0+mMu7oSDAbZuzdSmsvlclmqWwSDQVxWakUxSE9PjytJ2RApJUeOHGn22GcCeo8ekUV5Dah94UWq//pX/Js24V26lLL7v0LVX/8Wc6y0Rx4m6eabQnJz9QV3iYmYjQIe7YV95AgSr7uuWzjJoBxlRR3GwAFkvzUH+6RJJ7WOG2OzIVJSIjYlXHIJWDjY0ufDFiefVQYCET3qU779LUTj7mp2W2RBYHi7Hb1nXvT2M5hzzjnH8oYppSQQCIQny/rfV6xYEXOsxMREhgwZEqGzXFFRwaJFizh27FjrG69QKFqMrutce+21DBo0KKoIryGNi19zc3MtNdQNw4hQx2lM47lk8ODBzXaUgZi5zmcqibOvsSyIJxjErKgAz8k8X+l2U/33fxAss24pLmw2ku67NyThWjemLC2l8ucPU/2Xv7aB9WcWylFWhLGPHEmPOW/Qc8smhNWkpuskXndtxKbku+5Ey8iMEE4XTifJ938Z3WJ536yupuyb3+JY/hCODR5K0Ywr8W3Zgn30aDKffRp9wIBQXrLTSeJdd6Olp0dFmoWuk3jrLa1xyd2GWKkUsaiqqsLr9XLgwAE+/vhjVqxYQUlJCRC6Ia5evdqyoG/VqlWtZrNCoTg9nE4nU6dO5Ytf/CKZmZlRD8uGYTCyUVQvNzeXvLy8COda13WysrLo06dP1DmklKxfv57nn3+e5557jldeeYU9e/Zgt9uZPXs2PXv2RAiBEIKzzjqLPn36RDnihmGobn6N0NLT0TJjSKRapLQIux3/hg34Nm2i4sc/oew738W95IOws139l79GBJ8g5GDX/OsJzBasFCiiUTnKiii0tDQyn3mKsi/dH3ZSZSBA+h9/j3HWWZH7pqeT8/4iqp/4N573F6NlZJDy5S/huGqW5dild92Nb+MmqKvW9m/ZSskNN5Hz8Uc4LrmEvBXLQl92ux2hafjvvJ3Se7+IWVgYLuzL+OffMVQL4wjcbjeGYTS7a52maXz00UcUFhYSCAQQQrBz504mTpzIsGHDYnbma6xCoVAoOgfTp09n/vz5eOsUB0zTZMiQIQwaNChiv3pZyO3bt7Njxw6klAwePJiRI0darkqtW7eOzZs3h/ORXS4Xn3zyCXa7nX79+nH11VeHNZo1TcPn8/HBBx9QWFiIpmmYpsm4ceMYMGBA1NhnOrKyqvk7m0E8n3yC69X/hvsYeBYsJOHii8h8+il8Gzdap0HqOsEjR9CGDGk1u880lKOssMRxySX03LQh1I3HHyDh4ovQUlMt99Wzskh/6Kfw0E/jjunfXoB/y9aoVpjS76f2hRdI+8mPASJSMGz5+eQuW0pg716kx4Nt2DBEnGXGM5Xk5OSYuWhCiIjXdF0nLy8v7CTDyQKcNWvWMGjQIGw2m6UeqpJ4Uig6J6mpqeHiV5fLRW5uLimNUuXqqVexaRxtboxpmhFOcj3BYJDPP/+cfv36AUREp+12OzNnzqSmpgaXy0VGRobSPo+BbcRwfGuboRSjaWhZ2dS+9HLE/VO6XHiXr8D78VKMAQMIHjwUdaj0+9FzclrT7DMOlXqhiIlwOnFOn45z1syYTnJLCBw4YJ3/7PPh3xG7mYUQAlt+PvaRI5WTHAPDMBg/frxlx7v6HEa73Y6u6/Tt2xeHw2FZsa5pGseOHWP06NGWYzWsnlcoFJ0LIQS9evUiPz8/ppPcErxeb8wH8Kqq+NHQ5ORkcnJylJMch9SHHoquzXE6Sbz7LkRSIiIlGeF0YgzOD+UgW7yX0uXCvXBhqM6ncXGgw0HitbNDKYyKU0ZFlBXthjF0KNJKysjhwD5ubPsb1M0455xzSE5OZsOGDeGI0oQJE8jIyMDj8VBRUUFycjLJycmsWLEiKtJcj2EYjBkzBiklmzZtIhgMYrPZmDBhAoMHD+6AK1MoFB1BQkICuq5bqmS0tC5CEU3C+HPJfvN1qv74KP7tBehn9SP1+9/DMXky6T97CN/WbWhpqdiGDMG9cJG1MpSmIZKTSZg4kYzH/0HFQz/HLC4GXSfp1ltI+/nP2v/CuhnKUVa0OsHSUqqf+DfeDz9Cy8oi+Sv347x8GrZBA3FMnoznk09O6j1qGsLhIOnOOzrW6G7CwIEDGThwYNR2h8MRUdF+9tlns3PnzqgboBCCPn36IIRg3LhxjBkzBr/fj72VW5BWVVWxZs0ajh49it1uZ9SoUYwYMaLTNxJRKLojwWCQgoICdu7ciRCCoUOHMmzYMDRNY/z48axZsyZiBcowDCZOnNiBFncf7GPHkv3fV6O2C6czoulIwpRLYwxgJ+nmmwFwXnEFjunTkVVViMTEVm3KZdbWUvWXv+Ke8xZIifO6a0n93nfRWmHlorOjHGVFqxIsK6do2vSQvE1dLlX5xo0EvvudUG/4f/+L6r/9jdqXXkG63SRccglpP38IPSurYw0/w8jOzmbixImsWbMmXKFeX+TTMOVC07Rmd+pqLi6Xi7feeiucA+31elmzZg0VFRVcdNFFrXouhUIRHyklixYtoqioKOwMV1RUcPDgQa688kpGjhyJ3W5n/fr14Zzj8847L66UnKL10ZxOsl54jtK77w1tkBIZCJD20x9jG3GyGZQQApGW1qrnlqZJyQ034t+1O9yeuvb5F/AuX07O++91+5RI5SgrWpXaZ56JcJIhJFFT9ee/kHTXnWgpKaQ+8ACpDzzQcUYqABg1ahT5+fkcPXoUwzDo06dPi3RRT5UtW7ZE5UcHAgF27tzJuHHjlN6qQtGO1HftbPidDAQCHD9+nOPHj9OzZ0+GDBnCEKWa0OEkTJpEz43r8SwLqUMlXHyxpQxra+NdtozAvv1hJxkAn4/gocN4PvwI5/TL29yGjkQV8ylaFc/SpVGqFhASRPdv397+Bini4nQ6yc/Pp3///u3iJAMcP37cst22ruuUl1sL6isUirbh+PHjloW9wWCQ48ePd4BFingIpxPnFVeQOHt2uzjJEJJxbazRDCBra/Fv3douNnQkylFWtCp6z57WBQd+P3oPJVGjCLW+tcpFDgaDrVKpr1Aomk9iYqLlQ7Ku6zhjtFhWnFnofftEq3MAIikJ3aJJTXdDOcqKViX5K/dHf6EMA2PEcIyBSnBeEUr5aNxyt17bObUVZAgVCkXzGThwoOWDq6ZploXBijMP54wZoW69DTsuCoFISMB59VUdZ1g7oRxlRauSMGECab/5dUj/MTkZEhKwn3suWc8929GmKToJmZmZTJ8+nZSUFDRNQ9M0+vfvz+WXd+88N4WiM5KQkMCsWbNITk7GMAwMwyA5OZlZs2Zht9s72jxFJ0A4HPR4Zy72c8eBYYDNhm3sGHq88zbaGbDqIGKJiZ/WoEIMAb4OTAEGAtXAWuBnUspNzRlj/Pjx8vPPm9GxRtEpkV4v/t170DIyMHr36mhzFJ0QKSUejwebzdZu+dHthRBinZRyfNN7dg7UnK2QUoZb1MdKj1IozKoqkBKtlZU1Opp4c3Zb3Z2mE5pwXwDWA+nAg8BqIcSFUsp1bXReRSdBJCRgHzmio81QdGKEECoHsvOg5uwzHCEEGRkZHW2GopPTGl16uxpt5Sj/D3hcNghXCyE+Ag4A3wbuaqPzKhQKhaLlqDlboVAoLGgTR1lKWWKxrVIIsQvo3RbnVCgUCsWpoeZshUKhsKbdivmEEJnASKCgvc6pUCgUilNDzdkKhULRvqoX/wAE8NdYOwgh7hdCfC6E+Ly4uLjdDFMoFApFFGrOVigUZzzNcpSFENOEELIZP0tjHP9j4DbgG1LKPbHOI6V8Uko5Xko5vkePHqd0QQqFQnGmo+ZshUKhaB2am6P8KTCsGfu5Gm8QQnwV+C3wkJRSiekqFApF26PmbIVCoWgFmuUoSyldwI6WDi6EuBP4F/CYlPI3LT1e0XWQHg+eJR8QPHEC+4Tx2EeP7miTFI2QUrJr1y7WrVuH2+0mPT2d888/n169lM51d0PN2YqmkFJy7NgxysrKSEtLo0+fPmia6kHW2fCuXk3lL3+Ff3sBeo8eJH/zGyTdcbvSuW5H2kzlXwhxHfAc8LSU8gdtdR5Fx+PfvZuS629Eer1Ivx+h69gvvJCsZ55CdLNGEl2ZrVu3snbtWgKBAAClpaUsWrSImTNn0rNnzw62TtHRqDn7zMHn8zF//nwqKysxTRNN03A4HMyePZvExMSONk9Rh2/9BkpvvxPpdgMQPHqUql/8EllRQco3v9HB1p05tMnjoxDiEuC/wGbgeSHEpAY/Y9vinIqOo+zL92OWlyNra8HnQ7rd+FaupPbFlzraNEUdpmmybt26sJNcTzAYZO3atU0e7/F4+Pjjj3nmmWd4+umnWbx4MbW1tW1lrqKdUXP2mcXatWspKyvD7/cTDAbx+/3U1NSwbNmyjjZN0YCqP/0p7CTXI91uqv/xT6TXG/dYGQxS9Ze/cmzkORzt15+iWVfjW7+hLc3ttrTVOstUIAEYC6wEPmvwM7eNzqnoAAKHDhE4fAQatUKXbje1r/63g6xSNMbj8RAMBi1fKy8vj3uslJJ58+axd+9egsEgpmly8OBB5s6dG+V4K7osas4+g9i9ezemaUZsk1Jy+PDhqO2KjsNfEEOZ0TQJNqEyU/nTh6h+/F/I8nIIBvFv3EjJzV/Av2tXG1javWkTR1lK+YiUUsT46d8W51R0EIFg7Fwp5UR1GhwOR8zPKbWJlqRHjhyhpqYm4gYqpcTn87Fv375WtVPRMag5+8xCNgpsNPc1RftiDBxo/YKU6FlZMY8zy8upff0NaByN9vmo/vs/W9PEMwKVua84LfQB/dEyM6NfcDhw3nB9+xuksETTNEaPHo3RKGfcMAzGjx8f99jy8nLLaHQgEKCsrKxV7VQoFG1P//79LR+c8/Ly0HW9AyxSWJH6/e8jnM7IjU4nSffdG729AYGDBxF2e/QLwSD+bdta2cruj3KUFaeFEILMJ/6FSEoChyO0LSkJ29lDSf7SFzvYOkVDxo0bx9ixY7HXTaDJyclceuml9O3bN+5x6enpljdPwzDIyMhoE1sVCkXbMWnSJJKSksIPzoZh4HA4mDx5cgdbpmhIwgXnk/Gvf6L36weahkhJIeX/vkrqj38U9zi931nWOcyahm14c1QjFQ1RkgSK08Z+7jhyV32Ka85bmMcKsZ9/Ho7LLkOoyESnQgjB2LFjGTNmDKZpNjty1KdPHxITE6murg6nXwghsNlsDBo0qC1NVigUbYDT6eTmm29m//79lJSUkJ6eTn5+PjabraNNUzTCOX06zunTkT4f2GzNkoXTMzNIvOF63G+/E1EMKBISSPnG19vS3G6JcpQVrYKemUnKl7/U0WYomoEQokXLq5qmMXv2bFauXMn+/fuRUtK3b18uuuiiqFQOhULRNTAMg8GDBzN48OCONkXRDCxTKeKQ/vvfoeXkUPvsc8jqamwjR5D2619hG6Yiyi1F3eUUCkWTOBwOLrvssnChjxK7VygUis6LMAzSHnyAtAcfQEqp5uzTQDnKCoWi2ajJVqFQKLoWat4+PVQxn0KhUCgUCoVCYYFylBUKhUKhUCgUCguUo6xQKBQKhUKhUFigHGWFQqFQKBQKhcIC5SgrFAqFQqFQKBQWKEdZoVAoFAqFQqGwQDnKCoVCoVAoFAqFBcpRVigUCoVCoVAoLBD1nbY6G0KIamBnR9vRxmQDJR1tRBvT3a+xu18fqGs8Fc6SUvZoxfE6PUKIYqCW7v23or4L3YPufo3d/fqgHefszuwofy6lHN/RdrQl6hq7Pt39+kBdo6L5dPf3sbtfH6hr7A509+uD9r1GlXqhUCgUCoVCoVBYoBxlhUKhUCgUCoXCgs7sKD/Z0Qa0A+oauz7d/fpAXaOi+XT397G7Xx+oa+wOdPfrg3a8xk6bo6xQKBQKhUKhUHQknTmirFAoFAqFQqFQdBjKUVYoFAqFQqFQKCzoNI6yEOKAEEJa/FzbzOOvFUJsEEJ4hBAHhRAPCSH0Nja7WQghhggh/iaE2CyEqBFCFAoh3hVCjG7m8c/HeG/+2samx7KnrxDiTSFEpRCiSgjxlhCiXzOPdQghHq17D9xCiM+EEJe0tc0tQQhxoxBiTt3fkVsIsVMI8TshREozjrX6nKQQYkw7mN5shBCXxrCzohnHdoXPcGmcz+K9Jo7tEp9hR9Od52zoXvO2mrPjHtslvu9qzo57bJt+hkZrDNKKvA880mhbk01HhBBXAHOAZ4DvAWOB3wIpwA9b18RTYjowBXgBWA+kAw8Cq4UQF0op1zVjjGLgmkbbClvTyOYghEgEPgK8wN2ABH4NfCyEOEdKWdvEEM8As4AHgH3A14H3hRDnSyk3tpnhLeMHwCHgJ8ARQn9PjwBThBAXSCnNJo5/HvhPo227WtnG1uJbwNoGvweacUxX+Ay/BqQ22nY+8Gfg3WYc/zxd5zPsSLrrnA3dZN5Wc7aas+kan2HnnbOllJ3iBzgAvHyKx24APmm07eeAD8jrBNeWTV3hZINtaUA58GIzjn8eONLR11Fny7eBIJDfYNsAQl/W7zVx7GhCk/S9DbYZhG6s73b0tTWwqYfFtrvqbJ/axLES+HVHX0MzrvHSOluntfC4LvEZxrD9GULOQmZ3+Aw7+qc7z9l19nSLeVvN2WrO7gqfYQzbO8Wc3WlSL04VIURfYAzwcqOXXgJswJXtbVNjpJQlsu7TbLCtktDTTu+OseqUuQZYJaXcU79BSrkfWAnMbsaxfuC1BscGgP8BVwghElrf3JYjpSy22Fz/BN/VPq/Wpkt8ho0RQjiBm4B5UsqyjrbnTKYrzNnQreZtNWef2XSJz7AxnWnO7myO8tVCCJcQwiuEWNXMXLcRdf9ubbixbiJwAcNb2cZWQQiRCYwECpp5SI4QokQIERBC7BJC/LCD8vlG0Oi9rmMbTb/XI4D9UkqXxbF2IP/0zWszJtf925zP6//q/oZdQoiPhBAXt6Vhp8krQoigEKJUCPFqM/IWu+pneD2hZf0Xmrl/V/oMO5IzZs6GLjtvqzm7abrS913N2da02WfYmXKU5xF6AtwP5ALfAOYKIe6UUjaOPDQks+7fcovXyhu83tn4ByCAvzZj343AOkJ/2A7gOuB3wGDgS21jXkwysX6vy4CM0zi2/vVOhxCiN/BL4AMp5edN7P4yMB84BpxFKCfsIyHE5VLKpW1qaMuoBB4DPgGqCOX0/QT4TAgxVkpZFOO4LvkZElqGLQIWNWPfrvIZdjRn2pwNXXPeVnN2fLrK913N2bFp28+wjfJKphHKGWnqZ2mcMXRCk/DhJs51e91YQy1eOwo809muD/hx3ev3nYYNf6kbY3BbfIZxzusDfmex/TdAoIljlwCfWWy/vO5aLm7Pa2nm9SYDn9d9AfucwvEpwEFgENCdVwABAABJREFURUdfSzNsHUcobzFmrlcX/Qx7EcrR/PMpHt9lPsPTeI+69ZzdGtfYVedtNWe3+Pgu831Xc3b7fIZtFVH+FBjWjP0aLwWEkVIGhRBvAH8QQvSUUsaqFI73VJTe4PXW5JSvTwjxVULV3Q9JKZ89DRv+C3wHGA/sPo1xWkqsiE8G1k+tDSkDrJaJMhq83mkQQjgIVdsOBCZLKY+0dAwpZbUQYgHwxda2r7WRUq4XQuwCJsTZrUt9hnXcQSjNrLlLeBF0pc/wNOjuczacufO2mrNbQFf6vqs525rW/gzbxFGWoVyYHa0wlKgfMs4+2+r+HQF8Fj5QiP5AIrC9FeyI4FSvTwhxJ/Av4DEp5W9O04zmvDdtwTZO5hg2ZDhNv9fbgOuEEIkyMl9qOKGoxx7rw9ofIYSNkHzVREJVxltOZzja/3M6VZqytct8hg24C9gkpdx0GmN0pc+wxXT3ORvO6HlbzdmnMBxd5/uu5mxrWu0z7GzFfGGEEAahisdDUsrjsfaTUh4CNhFazmvIHYQqPZuT39LmCCGuA54DnpZS/qAVhryN0B/B2qZ2bGXeBSYJIQbWb6i7wV1I01qH7xKqar+pwbEG8AVgsZTS2+rWngJCCA14BbgMmC2lXHUaY6US0q9c3UrmtRlCiPHAEOLb2iU+w3rqrmkEpxiZqBujy3yGHUl3m7Oh28zbas5u2Vhd5vuu5uyYY7TuZ9jRuSh1+SS3EpIquYuQwPstwHJCE8otjfb9ENjTaNtMwCQkNn0p8F3AAzza0ddWZ98ldfasBy4AJjX4GRvv+gglpi8jJMY9HbgaeLbuep/ogGtJIvQEuoWQtNA1hG56+4DkRnYHgJ83Ov5/hJb7vkRoUnuz7r0Z19GfUwMbn+CkKP+kRj99Yl0fIdH7pwjdDC8lJO6/hdBTe6fKAyN0U/k1ocriqcD3gRJCov3ZXf0zbGDr3wk5X7kWr3Xpz7CD39duPWfX2dgt5m01Z6s5uyt8hg1s7XRzdoe/KXUXOolQ56ATdW9QJfABcIXFvkuBAxbbr6/78nvr/nB+DugdfW11tj1C7MKRA432jbg+QrllbxNKTPcAbkIT9zcArYOupx+hJa4qoLrOvv6N9ulfd32PNNruJNRp53jd9awGLu3oz6iRjQfifF6PxLo+QjfDlXWTlx8oJfQ0P7Gjr8niGn8MbK77rvmBw8CTQM/u8BnW2Wkj1BltXozXu/Rn2MHvbbees+vs6zbztpqzu/73Xc3ZHfcZiroTKRQKhUKhUCgUigZ02hxlhUKhUCgUCoWiI1GOskKhUCgUCoVCYYFylBUKhUKhUCgUCguUo6xQKBQKhUKhUFigHGWFQqFQKBQKhcIC5SgrFAqFQqFQKBQWKEdZoVAoFAqFQqGwQDnKCoVCoVAoFAqFBcpRVigUCoVCoVAoLFCOskKhUCgUCoVCYYFylBUKhUKhUCgUCguUo6xQKBQKhUKhUFigHGWFQqFQKBQKhcIC5SgrFAqFQqFQKBQWKEdZoVAoFAqFQqGwQDnKig5DCPG8EEIKIZbG2SdHCLGpbr8yIcSEdjTxtBBCJAshDtfZLoUQ93S0TQqFQnGqdKc5WwhxT4O5OdZPTUfbqeh4jI42QKGIhRCiJ/AhMAwoBi6XUm7qWKtaxK+BPh1thEKhULQHXXTO9gNlMV6rbU9DFJ0T5SgrOiVCiL7AR0A+UAhMk1Ju71irmo8QYhzwDWA1cF4Hm6NQKBRtSheesz+VUl7a0UYoOi8q9ULR6RBCDACWEZpwDwOTu8iEC4AQQgP+U/fr/3WkLQqFQtHWdPU5W6GIh3KUFZ0KIcQQQhNuf2A/cImUcneHGtVyvgmMB56QUm7oaGMUCoWiregmc7ZCERPlKCs6DUKI4cAnhPJ6dxGacA90qFEtRAjRG/gVcAJ4qIPNUSgUijajO8zZCkVTKEdZ0SkQQowGlgJ5wDZCS3dHOtSoU+MfQArwAyllZUcbo1AoFG1BN5qzRwghtgkh3EKIaiHEViHEX+rSSRQK5SgrOgX9gY+BHsBG4FIp5fHTGVAI0b8Z0j+xfg6c4jmvBq4DlkopXz4d+xUKhaIT059uMGfXkU1IpcMFOIARwHeAbUKI207nmhTdA6V6oegMnNXg/1+XUpa0wphBQukPp0JxSw8QQiQB/yQkNfT1UzyvQqFQdAW6/JwNHAMeBuYAu6WUPiFEAnAZ8CgwHHhRCHFESrnsFO1SdAOUo6zoDOwDUgk92b8hhJgspdxzOgNKKQ8TWhJsL34J9AP+qKq9FQpFN6fLz9lSysXA4kbbvMBCIcRK4HNCKh6/By5oL7sUnQ+VeqHoDBwGpgHlQC/gQyHEWfEP6TwIIcYA3yZ0Hb/sWGsUCoWizenSc3ZT1NWX/Lbu10lCiB4daY+iY1GOsqJTUNe9aTpQSSgy+1GdgkRX4G+ADvwUEHWtq8M/DfZLqNuW2DFmKhQKRevQxefs5rC67l9BKCdbcYaiUi8UnQYp5edCiCsJLYcNJDTxTj6VIpG6LlFrT9GUw1LKCS3Yvz6S8mIT+/277ucgauJVKBRdnC48ZzcH0eD/spXHVnQhlKOs6FRIKT8TQlwFLASGAB8IIS49hWIRHcg9RTM8p3icQqFQnFF04zl7YoP/H2yD8RVdBJV6oeh0SCk/Aa4FvISkepYIITJaOMYBKaU4xZ/+LTxX/3jjNdj13lMZX6FQKDozXW3OFkKIJl5PBX5U9+saKeWpqGoougnKUVZ0SqSUS4AbAB8wBnivbvJSKBQKRSeji83ZZwkhVgkhviiE6Fe/UQhhF0LMAFYSio6bwI87ykhF50A5yopOi5RyAXALECC0DLawTq9YoVAoFJ2MLjZnnwc8DRys68pXAtQAi4CRhBqQ3COl/KgDbVR0ApSjrOjUSCnnAncQEqO/EJgnhHB2rFUKhUKhsKKLzNkngG8BrwM7CTnFaXX/fg78ARgupXypwyxUdBqElKqYU6FQKBQKhUKhaIyKKCsUCoVCoVAoFBYoR1mhUCgUCoVCobBAOcoKhUKhUCgUCoUFylFWKBQKhUKhUCgs6LSd+bKzs2X//v072gyFQqFoMevWrSuRUvboaDvaEzVnKxSKrkq8ObvTOsr9+/fn888/72gzFAqFosUIIc64lrdqzlYoFF2VeHO2Sr1QKBQKhUKhUCgsUI6yQqFQKBQKhUJhgXKUFQqFQqFQKBQKC5SjrFAoFAqFQqFQWKAcZYVCoVAoFAqFwgLlKCsUCoVCoVAoFBYoR1mhUCgUCoVCobBAOcoKhUKhUCgUCoUFnbbhSGdBSsnhw4fZtm0bfr+fQYMGMXToUAxDvXUKhULRKTm+CT59DMp2w1mTYdJ3ICWvo61SKBRdEOXtNcHatWvZunUrgUAAgJKSEnbu3Mns2bPRdb2DrVMoFApFBLsWwhs3QcAD0oTCDbD+afjKOkg/q6OtUygUXQyVehGH2tpatmzZEnaSAQKBABUVFezbt68DLVMoFApFFKYJ874MflfISQYIesFTAR8/3KGmKRSKrolylONQWFiIpkW/RYFAgIMHY7YFVygUCkVHUFMI7vLo7TIIe99vf3sUCkWXRznKcXA4HJbbhRAkJia2szUKhUKhiIs9JeQUW+HMbF9bFApFt0A5ynHo1auXZdGepmkMGzasAyxSKBQKRUwcqTB4Fuj2yO22JDj/ex1jk0Kh6NIoRzkOmqZx1VVXkZKSgmEY2Gw2bDYbkydPJiMjo6PNUygUCkVjrn0O+l0EhhMS0kBPgPFfgbH3dbRlCoWiC6JUL5ogIyODW265hdLSUvx+Pz169FDScAqFQtFZcaTB3R9C2V6oPAQ5oyApu6OtUigUXZQ2jSgLIS4UQiwWQhQJIaqEEOuFEF3usV4IQXZ2Nj179lROskKh6LZ0lzkbgMxBMGCKcpIVCsVp0WaOshDiHOADwAZ8GbgBWAs8I4T4v7Y6r0KhUChajpqzFQqFIpq2DI/eAujA1VLKmrptS4QQo4G7gCfa8NwKhUKhaBlqzlYoFIpGtGXqhR3wA+5G2yva+LwKhUKhaDlqzlYoFIpGtOXk93zdv38XQvQSQqQLIb4MXAb8pQ3Pq1AoFIqW83zdv2rOVigUijraLPVCSrlVCHEpMBf4Wt1mP/BVKeX/rI4RQtwP3A/Qr1+/tjJNoVAoFI1Qc7ZCoVBE02aOshBiMDAH2AZ8ldBy3mzg30IIj5TylcbHSCmfBJ4EGD9+vGwr2840PB4PO3fupLi4mOzsbM4+++yYXQcVCsWZiZqzOxEBH2x/A3YvhOSecO6XIXtoR1ulUJyRtGUx328JRSOuklL667Z9KITIAv4mhPivlNJsw/MrgKqqKubOnUsgECAYDHLw4EE2btzItddeS3p6ekebp1AoOg9qzu4M+N3w7EVQshP8taAZsPZfcP1LMPyGjrZOoTjjaMsc5VHApgYTbj1rgCwgpw3Prahj5cqVeL1egsEgAMFgEJ/Px/LlyzvYMoVC0clQc3ZnYN1TUFwQcpIBzAAE3PDOfaFIs0KhaFfa0lE+DowRQtgbbT8P8ABlbXhuRR1Hjx613H78+HGkVCulCoUijJqzOwNb/xtyjK049nn72qJQKNo09eKfwBvAPCHEvwjlu10D3Ar8RUqpHo3bAV3XMc3o1VJNU2pPCoUiAjVndwbsKdbbzSDYk9rXFoVC0XYRZSnlm8BMIAF4mlCRyEXA14EH2uq8ikiGDBmCrusR2zRNIz8/HyFEB1mlUCg6G2rO7iRM+BrYGjvEApJzIfecDjFJoTiTacuIMlLKRcCitjyHIj4TJ06krKyM4uLi8LbMzEzOP//8Nj2vlJKdO3eyefNmPB4PvXv3ZsKECaSmprbpeRUKxamj5uxOwNmzYfxXQgV8mgGIUCT5tvnQ1sGN/Uvh45+FCgl7DIOpv4azLm7bcyoUnRzRWfNUx48fLz//XOVjtRYlJSWUl5eTnp5OdnZ2m0eTV69ezbZt2wgEAuFtdrudG2+8keTk5DY9t0LR0Qgh1kkpx3e0He2JmrNbmYpDcGgFJGbDgKmgt2lcC3YvgtdvBL/r5DZbItzyNgy6vG3PrVB0MPHmbJWoeoaQnZ3N4MGD6dGjR5s7yV6vl61bt0Y4yQCBQIDNmze36bkVCoWiW5DeD865DfKnt72TDPDedyOdZAj9/v732v7cCkUnRjnKilanvLzcsljQNE2OHz/eARYpFAqFIiZSQuku69eKC9rXFoWik6EcZUWrk5ycbKm0AagcZYVCoehsCAGJWdavJfVoX1sUik6GcpQVrU5ycjI9e/aMiiobhsHo0aM7yCqFQqFQxOTCH4ZykhtiS4SLf9Ix9igUnQTlKCvahMsvv5z+/fujaRq6rpOYmMhll11Gjx4qOqFQKBSdjgu+Dxc+CPZkMJyhfy/+CUz8RkdbplB0KO1QIaA4E7HZbEybNg2/34/f78fpdCrdZoVCoeisCAGXPgwX/RhcxZDYA4zGTRoVijMP5Sgr2hSbzYbNZutoMxQKhULRHAw7pPbuaCsUik6DSr1QKBQKhUKhUCgsUI6yolPg8XioqamhszbAUSgUCsVJ/H4/1dXVBIPBjjZFoWhTVOrFGYZpmpw4cQKv10teXh4Oh6ND7XG73Xz00UcUFhYihMDpdDJ58mR691ZLfwqFQgHAiS1Qtgdyz4HMQR1qimmafPrpp+zcuRMhBEIIxo8fz6hRozrULoWirVCO8hlEeXk5CxYswO/3A6EJb/z48R0i2RYIBKitrWXJkiWUl5eHI8k1NTW8//773HDDDaSlpbW7XQqFQtFp8FTCK7Pg+AbQDAj6YMhVcMOroLdv7YeUkpqaGjZu3Mju3bsjIslr167F6XSSn5/frjYpFO2BcpTPEKSULFy4EJcrskXpunXryMnJoWfPnu1mx4YNG9i4cSNSSstlu2AwyLZt27jgggvaxSaFQqHolMz/Khz7HILek9t2LYAVv4fJP2s3Mw4ePMiyZcvwer2WzaQCgQAbNmxQjrKiW6JylM8QTpw4gc/ni9oeCATYvn17u9lRUFDAxo0bCQQCMXPbpJQUFRXF7O7XXILBoMqfUygUXZOADwreinSSAQJu+Pzf7WZGaWkpH374IW63O+6cXF1dbXmPaQmmaRIIBE5rDIWitVER5TOE+nQLKzweT7vZUe8kN0VJSQkvv/wyM2bMICcnp0XnqKmp4ZNPPuHYsWMA9OrVi8mTJ5OcnHxKNisUCkW7Y/pBxnBMfTXtZsbmzZubFXAIBoO89NJLXHjhhZx99tktOkcgEODTTz9l9+7dmKZJWloaF198cbutdCoU8VAR5TOE3Nxcy2iAYRgMHDiw3exwu93N2s80TTweDwsXLmxRhCEYDPL2229z7NgxpJRIKTl27Bhvv/22ii4rFIqugz0JsodZvKDBoOntZkZVVVWz1IjqU+lWrlxJSUlJi87x4YcfhvOepZRUVFSwaNEiysvLT9VshaLVUI7yGYLdbuf888/HME4uImiaRlpaGoMHD243O7Kyslq0v5SSQ4cONXv//fv34/f7IyZ2KSV+v5/9+/e36NwKhULRoVzzdKiVtF7XIU+zgSMVLn+03Uzo1asXmtZ8V8E0TXbs2NHs/Wtqajhy5EhUICMYDLJ58+Zmj6NQtBXKUT6DGD58OOeff35Y0kcIQXl5Obt3727y2D179vDaa6/x7LPPMmfOHI4ePXpKNkyaNCnCWQfQdZ0+ffpY7i+lbFHeW1VVlWWaid/vp6qqqmXGKhQKRUfSZyLcuQRsiSB0QIDfDZ/8Apqq4Tj6OTw7GX6TBH/pD2ufgFPQqR85ciR2ux0hRHibYRj07dvXsuuqlLJF6XxVVVXoum45joooKzoDylHuZPh8Pvbv38/BgwdbvaghEAiwatWqcEpCMBgMa2KWlZXFPG7Hjh0sW7aMyspKAoEApaWlvPfee6fkLOfl5XHVVVfRt29fEhMT6dmzJ//P3nnHR3Fdf/uZskW9goRoEhK9CmSqARub5kZxb0lc0vsvTvPrVKc4TmKn2E5ixzVxi7sNxsYU05voHSSEhCRUUC/bprx/LFpYdle9AffxRx+s2Zl7zwhx58y553zPwoULGT16dIADDd7Fsi2ayvHx8UEXb4vFQnx8fJvtFQgEgmbRPZCzEg6+BfVlnT/+p/8HrjowdTDc3uK+g/+DXf8OfU3pfnhpNhSsB08j1OTDyofg81+2efqwsDBuvvlmhg0bRkREBHFxccyYMYNZs2aFTOdLTU1t9fixsbFB0+JkWaZPnz5ttlcg6GxEMV8v4vjx46xfv95vm2vu3Lkho61tJVQKg2EYHDt2jKlTpwZ8ZpomO3bsCHDadV1n27ZtLF26tM129O3bl4ULFwbYkJSURGlpqW8uVVUZNWoUUVFRrR570KBBREREUFtb61vEZVkmIiKCQYMGtdnWnsDV4Gb7K7vJ2XAS0zBJnTqQafdNIiymZ5vDCASCCzi9B/4zD7SzEVTDA7N/ATN/0jnj152G07u9TvL5eBphx9OQ9ZXg133+K2/k+cJrNv8JZvwYrOFtMiMiIoLZs2cHHM/MzPQr0FZVlYSEhDbVvYSHh5ORkUFubq7fc0ZRlB7R+G8Ppmmyf/9+9u3bh8vlIikpiWnTprU51VDQOxGOci+htraW9evXB0iarVy5knvuuQer1drhOS7M3W2iufQGj8cTchuturq6wzY1IcsyCxcuJDc3l5ycHFRVZcSIEQwcOLDN4yxatIht27Zx4sQJAIYMGcKUKVPalGfXU5iGyUcPf0ZVYQ2G5nX0c9efpORgGbc/cxOKJXCLUiAQ9ACGDv+dD43l/sfXPwqDZsDgmR2fw9MIsgzB6pCbU744vQsIkmYhKd7ocp9gRYJtZ+LEiSQnJ3Po0CHcbjfp6elkZGS0ea2dOXMmMTExHDhwALfbTb9+/Zg6depFo1TU1KmwydEvLi7mgw8+EI2zLhGEo9xLOH78eMjK4pMnTzJs2DC/Yx6Ph+zsbI4dO4ZhGAwePJipU6cSHh46UjBgwICgc6iqSlpaWtBrLBYLFoslqCPd2YuYLMsMHTq0w8WFNpuNWbNmMWvWrE6yrPso2ldCbUmdz0kGMHQTR62LvC0FZMwK/vckEAi6mfwNgVFb8B7b+Wygo2ya3jzhTY9D4xnofwXM+zOkTAw9R2wa2OO8DvP5KFYYeUvo6xKGQXWQ4mXDA1Epoa9rBykpKaSkdGxMWZaZMGECEyZM6ByjuhGXy8WRI0eCFiPu3r2bq666qmcME3QavT/EdpngdruD5ns1KTZceGz58uUcOnQIl8uFx+MhNzeX9957r9m85oiICCZOnOiXC6yqKv379w+Z3iFJEhMmTAjIH1ZVlaysrLbcoqAVVOZXoWtBOl85Nc6cEIUtAkGvwdMA5xW4ncMEZ3Xg4TU/g89+6I3oehrg5Ofw4iwoOxh6DlmGJS97i/nks7UXlgiI6t98esfsn3uvOR81DMZ/CewiwtmZ1NTUhCxGLC8vD3KF4GJDRJR7CYMHD+bw4cNBHd0L0w9KS0uprKz0e4M1TROXy0VOTk6zYu+ZmZmkpKT43oCHDBnC4MGD/SqaL6QpT2zPnj14PB7sdjuTJ0/uVv3ly4Xo5CgUi+wXUQZQ7SqxA6J7yCqBQBDAoCu9hXwXYomA0bf5H3PVw5YnvF31zkdzwLpH4dY3Qs8z5Br4xgHY8U+oPgFp18D4e706yyFtmw63/g8+/jbUFIBqhyu+Adf8rvX3J2gVUVFRITX6RQH5pYFwlHsJ/fr1Y/DgwX5qF6qqMmbMGKKj/R2kysrKoCkUmqZRXl7eYlekpKQkkpKSWm1bU1R5/PjxaJqGqqrNOtbdjaZp7Ny505eGkpqayuTJkwkLC+tp09rMoKz+2KPtaK4GTMP7dyzJEqpNIf3K1J41TiAQnMMeAwuehE/+D3Snt4ueJQL6ZcKYO/zPrc4DxRLoKJsGFGe3PFdcGsz7Q9vsG3Y9DL3Omwqi2kDuPfUNpmly5MgR9u7di8PhICkpiSlTplyUxW9hYWGkpaWRl5fn5zCrqnpRppIIAhGOci9BkiTmzJnDqVOnyMnJQZZlhg8fTr9+/WhoaKCgoABJkhg8eDDR0dHIshzwFquqKnFxcV1qYzDptZ7ENE0+/vhjysvLfT+P48ePU1RUxG233RZUcq43Iysyix6bx4ZntlGwqxhM6DcmidnfnILFfnHdi0BwyZP1Veg/2ZuT3FgBo26GkUtBd3vl4pxV3ghw9ADQXEEGkDqtsC4oktRmhYvuYOfOnezbt88XFCosLKSkpISlS5cSGxvbs8a1g9mzZ2O32307tTExMcyYMeOidPwFgYgnby9CkiQGDRrkJ2N26NAhtmzZ4ovgbtq0iVmzZhEeHh7QWlRRlG7tstcbKCsr48yZM34vDU3tr3Nzcxk+fHgPWtc+IuLDWfDI1Ri6gWmYQulCIOjN9MuEG/5x7vtTW71qGKYJxtlUuglfgnH3wP7X/KPKljCY+f+61dyexuPxsHfv3qDFbzt37uSaa67pIcvaj6IoTJ8+nWnTpqHr+kUXoBE0jyjm68XU1NSwZcsWdF1H0zQ0TUPXddavX8/cuXMZNGgQsiwjSRJJSUksWrQIm83W02Z3KxUVFc2moVzMyIosnGSB4GJC1+D1G8FVC+46r1OsOWDvK95UiCu+frYwT/UqWtz2NgwM1K+/lKmrqwsqH3cpFL9JkiSc5EsQ8Tfai8nNzQ3qBEqSRElJCfPnz0fXdUzTvGz/cUZFRQVNQ1EURehXCgSC7qVwizft4kI8DbD7JbjrA5j7uLdBiSU8hGrGpU14eHhQhSdArNmCXomIKPdiDMMIKRnX5BgqinLZOskA/fv3JywsLKC4UFGUAO1pgUAg6FKCqWD4PjuboywrXsWKy9BJBrDb7aSnpwdIqqmqSmZmZg9ZJRCERjjKvZi0tLSg+ozglZMTeIXqb7rpJvr3748sy8iyTJ8+fbjpppsuuzQUgUDQwwyc7s1NvhBLhDdHWQB4O/ENHz4cRVGQZZmIiAjmzJlDcnJyT5smEARw+YYiezGGYVBXV0dERASjR4/m0KFDaJqGJEnIsszEiRMDJON6iqaId6iWpYWFhWRnZ1NbW0tcXBxXXHFFpy+G4eHhXHfddWiahmEYndLuWyAQCNpEdYE3Srz0v/D2nWBq3jQMS6S3S9+FknE9hWGAqXvl6oJQXV3N9u3bKSkpISwsjAkTJpCRkdGpkqCKonDllVcyffp0PB4PVqu1V0mOCgTnIxzlXkZubi4bN25E13UMw2DAgAHMnz+fwsJCJEkiIyOjV4iY19XVsX79eoqLiwEYNGgQM2fO9GuhnZeXx5o1a3xpIqdPn+bjjz9mwYIFpKSk+Bqk1NXVkZyc7CtObC+XcwqKQCDoIUr2wdu3Q3U+YEJcBtz5ARRt87aqHnqdVyKuA2tbp+BuhE+/7y0s1N2QPAFu+Ke3lfZZamtree+993zdYJ1OJxs2bKCuro6JEyei6zonT56kvLycmJgY0tPTOxSYkGVZ7PwJej3Cs+hFlJWVsW7dOr/ufIWFhXg8Hm688cZus8MwDKqqqrBarURFRQV8rmka77//Pk6n01dsWFBQwAcffMDtt9/uc3abFDsuvHbr1q3MmjWLjz76CMMw0HWdw4cPEx0dzU033dTrtJoFAoEgKM5aeGm2f8vq8oPw9h3w/YLu0zA2Tag45pWjSxwZ3Cn/383ettma0/v96V3w8hz4+j5vQxNg165dAd1hNU1jz549DB06lOXLl+NwOPB4PKiqyvbt21m0aNFFqX0sELQWkaPci9i7d2/AImUYBmVlZdTW1naLDSdOnOCVV17hww8/5H//+x/vvfceDQ0NAed4PB4/RQ7TNHE6nRQUFABeTcz6+vqgc1RWVrJ69Wo8Ho/PkfZ4PFRXV7N3794uujOBQCDoZA6+GUTlwvQW7h1+t3tsKN0Pfx8G/5oIz02BJwdBwSb/cypy4OS6c05yE5oLtv713FClpSGVlrZu3Up9fb0v2qxpGi6Xi3Xr1nX6LQkEvQnhKPci6urqgh6XZZnGxsYun7+iooK1a9fidrt9TuyZM2f4+OOP/RbPqqqqAIcevM5xTU2Nz+ZQW3J2uz2oE63rOjk5OZ10NwKBQNDF1BaCJ8ja7HF4P+tqPA546WqozPHa4WmAuiL47wJoOE+TuPI4KEHWY8MDpeeCE6FqXwzDoKioKKgKU1lZmc95FgguRYSj3ItISUkJmqOr63qHcndby4EDBwIWQtM0qaur48yZM75jCQkJQfOBFUXx5U9LksS4ceMCzlNVlbFjx4a0QRR0CASCi4YBU8EaGXhctUF4Ihh64GedyZEPgus2Gxrs+++57/uMOidPdz6KFVIm+77NzMwMWLMVRWHw4MHNPoPEui24lOly70uSpOskSVovSVK9JEm1kiRlS5I0p6vnvRgZN24cFosl6KKzbNky3nrrrS5Nwaivrw+57eZwnGu7mpaWht1u97NTlmUiIyMZMGCA71hmZiZjx45FVVUURcFisTBp0iTGjRsXNKdNUZSLsuW0aZrUn2nAVR/kQSQQXGSINbsNpM+HPqNBDTvvoORNcfjk+/CnZMj5tOvmry8J7ihrTqgrPvd97GAYflOgnWoYTP2O70hycjJXXXUVYWFhKIqCoiikp6dz1VVXMXTo0AC5UkmSSElJuSgLqR0OR7fs1Aoufrr0t1uSpK8CT539ehSvYz4B6KYKh4uL8PBwbr75Znbt2kVBQYHvH3FT45Gqqio++ugj7rzzzpBv97quk5+fT1VVFbGxsaSmpobUYr6QAQMGUFJSElCAZxgGffr08X2vKApLlixhy5YtnDx5EkmSSE9PZ8qUKX7OsyRJXHHFFUycOBGn00lYWJjP7muuuYYPP/wQXdd9EfOkpKRmo829kcI9p/n8b1tw1rkwDZP+45KZ8/0Z2KNFJbfg4kOs2W1EluFLa2Hzn2Hvy1CV55VeM03w1Hu/3lwK3zzkdVaDYZqQv8FbaBfRB0bfDuGtVDYadKW3gcmFgWtrJAye7X9s6X9h3W8g+xlw10Pq1TD/CYju73fakCFDSEtLw+FwYLVafU5wVlYWJSUlVFVVYRgGiqJgs9mYPfuCeXo5tbW1rF69moqKCiRJIjo6mjlz5pCQkNDTpgl6KVKwCGKnDCxJqcBh4Kemaf6lrddnZWWZ2dnZnW3WRcOWLVs4cOBAQITXYrEwb948+vfvH3CNw+HwqVF4PB4sFgtWq5UlS5b4ybaFwu128/bbb9PY2OhLwVBVlTFjxjB58uQWrm47TU59fX09ffv2JSkp6aLawqs6VcO7P/gYzXXuKSUrMglD4lj6p4U9aJmgp5Ekaadpmlk9bUdbEGt2Bzm23Kuf7L6g1kSxwowfw5xfB16ja/DmEshb680xVsO8zvfdK2Dwla2b940lkLvyXK60GuaVfrt/g9eJ7kRM0+T06dOcOXOG6OjoDkt6dje6rvPaa6/57ZACWK1W7rzzTiFVdxnT3JrdlRHl+wED+GcXznHJ0tDQEDQNAgj4R97E5s2b/dInPB4PmqaxceNG5s2b1+KcVquVm2++mb1795Kfn4/VamXs2LGkpaW1/0aaQVEUhgwZ0iVjN0fp0XJ2vrGfqsIaEtLiyLpjHIlD2q5NvX/ZEXSPf063oRtUFVRTcbKKhNS4zjJZIOgOxJrdERrKwAwsdkN3hy7s2/cfyFtzzsnVzv75v5vhB8Wtc3RvfQt2Pw87n/MW543/AlzxzU53kuFcqkVKSkqnj90c9fX17Ny5k+LiYl8TlNTU1DaPk5+fH7QQ3TAMcnJyGD16dCdYK7jU6EpH+UrgCHCHJEk/AwYDJ4EnTdN8ugvnvSQYOHAgBQUFQeXikpKSgl5z8uTJAOfaNE3y8/MxTbNV0VqbzcbkyZO7JILcGzi1u5iVv1/niwLXlzdQtOc01//qWpJH9mnhai/OWhc5G05SuLsY0wiS063I1J9pEI6y4GJDrNkdYdCVwR1laySkhwhU7H4xtGrG6V1+zUBCoqiQ9VXv1yVIfX09b7/9tk+StK6ujjVr1pCVlcW4ceNaNYau6+Tl5XH06NGgjrKmaSFVpwSCrtwzSQGGAn8EHgPmAZ8BT0mS9N0unPeSID09naioKL/8YlVVGT58eNAmIILWsem5bL9UCUzQXDqbn2/dlnHxwVJe/fJ7bH1pF3WlDUHPMTw6iWk93z1RIGgjYs3uCAlDYeydYIk4d0wNg/ihMHJpOwa8eNLQupI9e/YE6PZrmkZ2dnZQp/dCGhoaeOONN9iwYQNFRUVBd2pVVQ0ZgBIIujKiLANRwJdM02xSXl9zNg/up5Ik/c284DdWkqSvAF8Bb0vkyxlVVVm8eDEHDhzgxIkTWCwWRo8e3WyqQmpqKnl5eX4Sb5IkMXjwYNxuN7m5uTidTvr160dycvJFlQ/cGRi6QU1xcNWQiryqVl3/2WPr0ZyhF2fVpjD06iFEJIjaJ8FFh1izO8qNz3mL5LL/4Y0Kj73TmwahhmjzPPEBb+TYc8FLtyUc+o6Bg29D+SHoMxKGLwo9ziVMcXFxSDWm6upqEhMTm71+48aNNDY2hkxlVBSFqKgoBg8OUWwpuOzpSke5Am904rMLjq8EFgD9gOLzPzBN81ngWfAWhnShbRcFFouFzMxMMjMz/Y57PB7q6uoIDw/Hbrf7jk+fPp3y8nJfi1GLxYLdbmf48OG89tprmKaJpmmoqkq/fv2YP3/+RVWI0VEkWcISZsHTGCiO3xqVijMnKtE9wXVRZVUmOjmSsTeOYOS8oR22VSDoAcSa3VFkGcbf4/06H0OHM0fBFgUxA88dH3cPHHkfcj/zSrqpdpBkuOnf8PRIaDwD7gZv+kb4j+CBLRCV3K231NNERkZSXV0dcNwwjBaL1E3TpKCgIKSTHBkZSXp6OpmZmZfVs1DQNrrSUT4ITA1yvCmMGSSZS9Acpmmya9cu9uzZgyzLGIZBWloas2fPRlEUwsLCuO222ygoKPDJww0aNIjXXnvNr3OSpmmcPn2aPXv2UFFRQVFREVarldGjRzN27NhLdsGQJImxN45g3/uH/NIvVJvC+CWjWr4eCUK4AknDE7npdy0XTAoEvRixZncFRz+CD+73OsKGBknj4fZ3vLJssgK3vwuFW73ycOF9YPSt8OGD3gJA4+zulbsONAcs/zrEpp1tJmJ6peTm/AbCYnvwBruWCRMmUFJS4pdmIcsyKSkprVJzkiQpqKOsKAp33XVXp9oquDTpSo/ovbN/zr/g+Hyg0DTNki6c+6LCNM2AHKxgHDt2jL1796Lruq/FdF5eHps3b/adI8syqampZGZmkpaWFrLdtKZp7Ny5k7y8PNxut6+qeMOGDZ1+f92JaZroWujn+aTbxzJibgaKVcESpqJYFcbeOIKxN45ocezE9HhUe+C7pWpTGHFtRofsFgh6AWLNbgseJ+gttG4uOwRv33E2MlzvdZaLs+GVa736yQCSBAOnwcyfwqQHwR4DRz885yQ3YWje6POOZ6Cx3Dvmrufg+Wkt29HLMQwj5PMvJSWFGTNm+DSdFUVh4MCBXHPNNS2OK0kSgwYNCkgzlGW5y9ScBJceXRlR/hhYC/xLkqRE4ARwC94Ckfu6cN4uo76+3tdgIzU1lYiIiJYvaoHc3Fy2bt1KY2Ojr73zpEmTguYP79mzJ8Dp1XWdY8eOMX369FY3FmniwoVJ0zRycnLIysrqlHvrTkzDZOeb+9j34RE8Dg/RSZHM+PIVDMry15uWFZkZX76CK+6eQENlI5GJEViCOL/BkGSJeT+dzce/XON1yD06iiozcGIKGbNTu+CuBIJu5ZJbs3HWwOF3wVEFQ66B5PEdH/P0Hm/Et2SPNyI88ma4/pngUd0dT4N2QcdOU/dGi4t2wIB2qAud34pad0NtkTdqPao9BYM9y4kTJ9i6dSv19fXYbDYmTJjAuHHjAp5/w4cPZ+jQodTW1mK32/1SDlviyiuvpKKiAqfT6Us9DA8PZ/r06Z19O4JLlC5zlE3TNCVJWgz8HvgVEIdXeuhu0zRf66p5u4r9+/ezfft23/dbt25lxowZjBjRciQyFIWFhaxbt87n/Ho8Hvbt24dhGEHl2ULpJzdFpIM5ygkJCVgsFr/Ui+ZQFIWqqioiIiIoLy9n06ZNlJeXY7FYGDVqFFlZWe1KzXC73RiG0aYFri1sfXkXh1Yc86VU1JbUs/IP67n+l9fQb3TfgPOt4Ras4TFtnid5RB/ueWEJJzYV4Kx1kTI2ib7Dmi8mEQguBi61NZv8jfDqQm/k1vDAWhVG3QaLX/BGcdtDbTG8OOtcUxFdh8PvQNUJ+PLWwPOr872O8YVIsn+L6QsZvgiOvOcfVZbks1HoCyKv7jo4vdvrKNeVwIpveyPSSDBiESz8O0QGroEtoWkaHo8Hu93eJYXfBQUFfP75577nn8vlYufOnRiGEVCXA94ocGxsbJvnCQ8P5/bbb/elJMbFxV10jVIEPUuXtrA2TbMW+ObZr4uWmpoatm/fHtDaedOmTQwcOLDd0ddg8jaapnHgwAEmTZoU4PgmJSVx6tSpgHHsdnvIjkKSJDF37lw+/vhjbxRU11EUBbvdHrSpia7rREVFUVNTw0cffeSzz+12s3//furr65kzZ06r77GxsZG1a9dy+vRpAGJiYrj66qtbrFRuCx6XxsGPj6G7/f9+dLdO9ht7ufHRuZ02F4A13MqIuSLVQnDpcams2egavLHYm+7gO+aGQ2/B8Btg1M3tGzf7n95x/OZyQ9kBKN4JKZP8P0ufByfXBmol627o30w0+bqnvCkavmK+CK/UnKfR2xb7fCyRED8ENDf8eyrUFZ1zsA+/67XrW4dBsbTqFnVdZ/PmzRw7dgzwNqKaNm0aGRmdu+bt2LEj6PNvz549jB8/vlMd2aaUxPY0KREIxCtVKzhx4kTI/Km8vLx2j1tbG1yqzDRNnE5nwPEpU6agqqrf272iKMyYMaPZN/6kpCTuvvtupk+fzqRJk7juuutYuHBhgCMuyzLJycnExMSwZ8+egBeDppzoxsYgAvkh7uPDDz+kuLgYwzAwDIOqqio++uijkNHx9tBY6UCSg99/dWHwn7FAILiEKdzqjSJfiKcBdr3Q/nHLDvinPjQhyVCZE3g88z6ISALlvECGJQImfRWim+luF9kXvn0UFr8EV//K++f3ToA9GqTz1m1JBksYjL7Nm7/sqPCPQhuat2PgseWtvsUNGzZw7NgxdF1H13UcDgfr16+nqKio1WO0hlANPnRdx+12B/1MIOgJhKPcCkzTDOkot1SA1xzx8cGbUjQpWAQ7f+nSpaSnpxMdHc3AgQO5/vrrW1WUYLVaGTFiBBMnTiQ5OZm4uDgWLlxITEwMsiwjyzJDhgxh7lxv9LWioiJkpXBNTU2r7q+4uBiHwxEwjmEYHD16tFVjtIaIhPDgahQSJKSJ7ngCwWVHsHQH32ctN6kIyYCp3sjuhRgaJAXpEmeLgq9kw7QfQMJwbxT5xmdhwZMtz6VYvOkUsx/x/mmN8MrDDZ4JsgqyBQZMgwc2eT8rP+QfQW/C0+j9rBU06e1fGCTRNI3du3e3aozWEiqNQlVVrNbLTy9a0Hvp0tSLS4XU1FR2794dsHgAHRIpnzx5MsuWLfPbflJVlYkTJ4bcdoqNjW1T6kNz9OvXj9tuuw23242iKDidTlwuFxaLhYSEhKDOsq7rxMS0Lre3rq4uqLOt63qrne3WoFoVxi8dxd53D/rLvlkVsu5sXYtTgUBwCTFgGkE721kiYPwX2z/uxAdh8x+9UeWmdtWqHdLmeJuCBCM8Hq79rfero8QOgi+t9aZjmKZXMs5R6U016TPSq7d8obNsCQ9t2wU0NjYiy3LQZ12oHdD2MnnyZFasWOE3l6qqTJo0SeQPC3oVwlFuBfHx8UyYMIE9e/b4ut7JskxWVhbR0dHtHrdv375cd911bN26lcrKSsLDw8nMzGT48OGdZXqLSJJEY2Mjq1at8i2EkZGRTJ48mdzcXD8nXlEU0tLSWqVdCYTMQ+6KdqGTbh+LPcrGnncO4qhxkpAWx7T7J9F3qCi0EwguO1Qr3PIG/O9mMAzQnV4nOW0OjLm9/eOGx3sjxCsfgpxPQA33SrrN/nnn2d4adA+8ezecWO2NLKtWWPAXCEs4p9cM3shzeB8YdkOrho2MjAy5S9q3b9sLApsjJSWF+fPns23bNqqqqggPD2fSpEnd+vwTCFqD1JHUga4kKyvLzM7O7mkz/KisrPTlJKenp7erAre3oWkar776Ki6Xf96d1Wpl7ty57Nixo0OqFx9//DGnT5/2RQ1kWSY8PJzbbrsNVfW+p50+VMbxz/MwTZOMmamkjE0CE9yNHixhKrIioguCiwtJknaappnV03Z0J71xzaauBA687i2KS58Hg2e1X/GiN/HSHDi1yb+w0BION78B+145q3oBjFjcZtWLPXv2sGvXroCdziVLlhAX501lq6mp4ciRIzQ0NDBw4ECGDBmCoii+3cm2SpUKBD1Nc2u2iCi3gfj4+JB5xRcreXl5QbfZDMOgtraWxYsXd2j8+fPns2fPHo4cOYKu66SlpZGVleVzkre8uItDK46inVWsyFl3ksT0eKpOVeNxaKhWhcxbxzB+yagOSRTVltaz/ZXdFO45jTXCypgbhjP2hhEhiwAFAsElQFQyTPt+T1vRuVSdhMItgeobHgfseRHueLdDw0+YMIHIyEh27dqFw+Ggb9++TJkyxeck5+fns3r1anRdxzRNTp48yc6dOwFvup0kSWRkZDBjxgwsltYpbQTD4/Gwc+dOjh8/DniDU1lZWSJ/WdDtCEf5EqO+vp7Dhw9TW1tLSkoKQ4cO9TmlwWhoaAjqKGuaRkNDQ4ftURSFSZMmMWnSpIDPqk7VcPDjo36ybppLo+RQme97t2aw8419SLJE4pB4tr2ym6pTNUT2ieCKu8czZNqgFm1orHLw7v99jKvBDSa46t3s+O8eqk/VMOubwTr2CgQCQTfhrIU9L0PhZkgcCZO+DFH9Qp9ff9qbUhGACdUnO8WkjIyMoHJwhmGwdu1av2izpml++cumaZKbm4vD4WD69Ols3bqV4uJiLBYLo0ePbpX0m2mafPTRR1RVVfmeT4cOHaKoqIibb75Z5DALuhXhKF9CnD59mhUrVvik2PLz89mzZw9LliwJ2egjJiYmZE5aMOWNzqRgZxGm0XLqj+bS2fnGfgxdR3d7c8SrT9Ww9slNeBo9DL8mvdnr9390BI9T81PG0Fw6x9aeYNKd44iIb13OtUAgEHQqdafh2SxwVnvVKVQ7bP4TfOlzSJkY/Jo+o7zFfMEI79qajDNnzrRK6UnXdYqLi3n33Xd9za48Hg+7d++murqaq6++utnri4qKqK6u9gviGIZBfX09BQUFQg9Z0K2I17JLBNM0fW/6TQWHTVHhULI+ZWVlrFmzJuSYoXQuOwvVprY69cHj8Pic5CY0l862V3a3uHCXHC7D0IyA44pFoaqg89Q3BAKBoE2s+qlX57ipIYnm9Hba++D+4OfXl8Jzkwmuh0nz3f46AVVVWy2Jappm0IYiJ06coL4+iIzdeZw5cyboTqfH46G8vLz1BgsEnYBwlC8R6uvrgzbxMAwjaFMUXdf5+OOPgy5G51/bUTRNo76+Pug8rUmbaAlnnctPEi4YsQNikJRAh1zXDKL6tq+rYnOYpknJ4XK2vLCTba/sprKgutPnEAgElwDHPvJvENJE+SFwBnmJf+duqDwRejyz42t2U+S2KRJ8PnFxca1WPTIMI6QWf1VVVbPXRkVFBU0ZVFW1Q0pTzVFbW0t2djabN2+msLCwQz0SBJcWIvXiEqG5N/1gC05LC4GqqgwZMqTd9hiGwfbt2zl48CCSJCFJEpmZmYwfP95XlBcWa+eaH8xgzRObfJFl3eNdXE39nG2qTcESbsFRFdit0GJTUa3NV1iPu2kkOevy0M5z1hVVJml4IjEpnbvomqbJhn9u5/jaE2guHUmW2P/RESbfO4FxN7VOy1QgEFwmqMFT4kDyyr6dT2MFFGwI3TBFtcPYuzpkzvHjx9m8ebMvEjxkyBBmzpzpe4ZIksSCBQv46KOP0DQN0zR9AZXzAyuqqhIZGUlNTU1QLf6oqKhm7UhNTfXZcf71HX0uhSInJ4d169b57ufIkSMMGDCAuXPndqiIXHBpIBzlS4SwsDD69OlDWVmZ38LS5KQeOnSIYcOG+Ra8YNGC86/JyMjokNbxrl27OHTokF8kedeuXdjtdkaMGOE7ljZ1EPe+1I9Tu4sxDZOBmSmU51Sw/T97qC6sISo5kivunoDu1vn8b5v9G4rYFCbcPLrF9I24gTEseORq1j+9lfoz3i3O1KkDmfXNKe2+v1CUHin3OckApmGiu3W2v7Kb9BmDvV0EBQKBAGDSV2DjH7yNQ5qQZAiLg42PwRVfP1fY52n0b1/thwSJIzqk8FFUVMSGDRv80iVOnDiBYRhcc801vmOxsbHcfffdFBUV4XA46NevH7qus23bNoqLi7FarYwdO5ZBgwbx7rvv+o0nyzLJycktSqsqisLixYtZu3YtZWXe4u7ExESuuuqqDilpBMPtdrNu3Tq/Z5WmaRQWFnLy5MlWdb4VXNoIHeVLiPr6epYtW4bD4cAwjICORxERESxZsgSr1UpjYyOvv/56QEqELMtMmjSJCRMmtOlN2jRNDh48yN69e3E6nSG33aKiorjzzjvbdX9HPsth23924653o9pUxi8dTeYto5EkCdM0Kd5fSmV+NTH9ohiQ2S9Af9k0TVx1blSbgmrrmnfEzc9ns/+jIwEphKpNYfqDWYycN7RL5hX0LoSOsqBVaG54cynkrfHqO3sa8XYUNEGxgWqD+zdB0hhvJ76/pEJNwQWDyJA+F+76yNv2ug0UFhaybds2qqurAYKmyCmKwt133x2yILw5SkpK2LBhA9XV1UiSRHp6OldeeaXP2a2qqqKoqAibzUZqampQJ9jt9srgdZUsXH5+PmvWrAkaPEpLS2Pu3LldMq+gdyF0lC8TIiMjuf322ykqKmLlypV+nzXlCu/fv59JkyYRHh7OxIkT2b17t++NX1VVkpOT/dIjWkt2djb79+8PKN64kGB51K1lxNwMhl+bjsfhQbWda0TibvTw0SOfUVNUi64bKKpMWIydRX+YT3jsOeUOSZKwR9vaPX9rUCyKz3E/H0mSUFQhwi8QCM5DtcLdy6D0gLfTXuk+fG/Zusv7texr8MBGryO9+GV47XpvZz7D420yEhYPS15ps5NcVFTEp59+2mydCniDJ42Nje1ylJOTk7n11lvxeDwoiuKTdTNNkw0bNvg0kmVZZuPGjVx33XUBO5ldrZvcnNScaJwiAFHMd8khSRJ2uz2oo6vrul9hX2ZmJtdffz3Dhg0jNTWV2bNns2DBgjZrVGqa1ionGehwwxZJkrCGW/2ixdv/6y2Y8zg1DI+Bx6FRV97A+qe3dWiu9jB0dhqyGvjzMwyTwZP7d7s9AoHgIiBpDJw5Gvyzwi1gnHVm066Cr++HKd+BodfDnN/CNw62qfNeE9u2bWvRSQavU9vRAjqLxeL3XMnPzycnJwdd19F1HY/Hg8fj4dNPP+2UIvK2kJKSEvR5qaqqX5qg4PJFOMqXIFarNeRic/7Wlsfj4fDhw+Tm5pKfn8/u3bvbJb1TX1/fqgi0qqpMndr5DT6Of56H4fG/X1M3KdhZhB5EFq4riR8cyxV3j0exKN4UD7uKYlW45gczsEV2bTRbIBBcxIQq7JOt3rxl8KZfHHobdj8PuZ9685iPvNeu6WpqWpbGVFWVSZMmNdu0qj0cOXIkaGBF13VfTnJ3oSgK8+bNw2KxYLFYfC24R48eTUpKSrfaIuidiNSLS5Do6GhiYmKoqqoKqBgeM2aM7/uVK1dSUlLiiypUVlayfPlybrnlFqqrq9m6dSs1NTVEREQwadIkhg8fHnS+8PDwkI651WpFURQSEhLIysqib9+2Rz5aImTTEhPvg6WbGb94FBkzUynYWYSsyqROHiCcZIFA0DwTH4Adz3i1lJtQbDD+Hm/aBcCmx2Hdr8/pLjeUwvJvgCXC24hkxXcgfz1YI7yFglc/6k3vCEJkZGRQmTZZlrFarURERJCZmdklKhNdLUvaVlJSUrjnnnvIz8/H7XYzYMCALpOhE1x8CEf5EmX+/PksW7YMp9O76BqGwYgRI3yLXnV1tZ+T3ISu62zevJmioiLfZ/X19WzatAlN0xg9enTAXFarlREjRnD06FG/KIGqqixYsIDk5OSuuk3Aq2CRs/6kn6ScJEHyqD4oFm+OmaEbaC4dS5jaLXI/EQnhonBPIBC0njm/hbKDXkdXsXj1lVOyYP6T3s8NwxtBbnKSm/A0wuqHvU6zqw4wvZ3+tv0dKo7DHe8Gne6KK65gzZo1AWt2ZmYmmZmZXXOPZxk6dCilpaVBo8pNOcqmaeLxeFBVtVtaVlsslqBtuwUC4ShfokRFRXHHHXdQWlpKY2MjSUlJRESca65RW1uLoigBjrJpmhQXFwcc1zSN7OxsRo0aFdTRnDZtGlarlQMHDuDxeIiOjmb69Om4C3VW/HstHodG+szBjLgm3ee8dhbTvjSJ0wfKvM1HnJpP1WL2t6ZhGia7/refve8fRnNrhEXbmPqliQy9qvOjJAKBQNBuLHa49xMoOwTlByFhOCSPO/e5pxHcITraVZ88G3U+bwdNc0DOCm+DkvjA9S41NZVZs2axbds2GhoasNlsTJgwgf79+7N27Vpqa2vp168fY8eOJSwsLOD6jpCRkUFubi6nT59G0zRkWUaWZebMmYOiKJw4cYItW7bQ2NiIoiiMGTOGrKysbnGYBYILEY7yJYwkSSGjufHx8UG3v2RZDrkt1lRwEawKWZZlrrjiCrKysjAMA0VR2PbKbg4sO+LTFC4/foZjq09w0+/noQQpeGsvYbF2bn/mJk5szOfMiUpiB8aQMTMVa7iF9f/cxtHPcjA07wOkscrJ+me2YQm3kjp5QKfZIBAIBJ1C31HerwuxRngVLhqC5PCqdm/r6wtRbHDmcFBHGbwOa0ZGBrquI8syp06d4oMPPvDJe5aXl3PkyBGWLl1KZGRkB2/sHLIss2DBAoqKijh16hR2u52hQ4cSGRlJXl4eq1ev9qUNaprGgQMH0DSN6dOnd5oNAkFrEa9nvYiamhoKCwtpaGjo8rkiIyNJS0sLkL9RVZWYmJig16iq2qLYuyRJKIpC/ZkG9n942K9BiObSqSyoJm/zhTqgHUe1KgybM4TpD2Yxav5QVJvCZ39Yz+EVx31O8vl2ZL+2t9NtEAgElxkN5ZC7CsoPd/1ckgTXPuaVhDsfNQzS5wV28gPQ3d7IdAs0PQfWr1+Prus+J9UwDFwuFzt37uyw+RciSRIDBgxg2rRpZGZmEhkZyf79+/nss88C5DU1TePw4cPNNsoSCLoKEVHuBXg8Hl9hXVM6REZGBjNnzuzSraarrrqK2NhYDh48iMfjoX///kydOpXq6mpWrVoV0LBk4sSJrc7vPX2wDEmR4QI1Cs2pkb+jkIxZqZ15KwEc/vQ4+dlFIT+vKwuxhSkQCAQtYZrw2Y9g+1PeqK3hgaRxcNcyCE/ounkz7wNrJKz9ubfxSOJImPsHiM+A3JXgPs+RVO2QehUktC7vtqGhAZfLFXDcNE1OnTrVSTcQmoqKCrZv3x7yc0mScDgcnd6ZTyBoCeEo9wI2bNjA6dOn/brp5ebmEhcXx7hx41q4uv3IsszEiROZOHGi75imaRw9etQvf9lutzNx4sSghXyhsEXZCOZTS7JEWFzn5rsF4+Anx9HdoSur4wbFdrkNAoHgEmXff2HHP7wKFU0qFcU74Z174N4VXTv36Fu9X02YJux+Aeyx3jxmU/c675kPwLw/tnpYi8UStJsqgM3W9ao9x48fb1Hx4vw6G4GguxCpFz2MruucOHEiYIFoysvqTkzTZMWKFezfv9/XNlSSJJ/w+oXRZN2jk7+jkGNrT1Bf7p8u0n9cMoo1sGhPVmVGzu3aymLTNHHXu0N+Lltkpnyha6u6BQLBJcyWJ8BzQYqc4YGTa6HhTPfasu5Rryxc7Smvkwwgq3DFN8DiH5QwTZOSkhKOHTvGmTP+dtpsNgYMGBCwi6mqKmPHju3SWwBobGwM6ajLskxmZqbolCfoEUREuYdpTk+yyVntLsrLyykvL/ezyTRNnE4nOTk5fl2KzpyoZPkvVqN7DDBNDN1g7E0jfQ6oosrc+OhcPv71Gq/TKkuYhsnsb00hbmDwHOjOoKGykeU/X01jdfBW2bIqc90v59BvVOfrOQsEgssER2Xw47IKrhqISOweO9yNsOkPgZJxmgPW/QpufdN3yOl0smzZMmpra33H+vbty4IFC3wNRa6++mo+/fRTysvLfbuKI0eODKmh3xkYhsGqVasoKAhduzJ58uRucdYFgmAIR7mHsVgsREVFBe2S1N1dgc6cORP0jV7TNMrKynyOsmmYrHh0Lc5a/3y2A8uO0G9MEoMmeu2OHxzL3c8toTy3As2p0XdYIqqta3/lPvvDBqqLagOakEiKhGJRuO7nc+g3+pyTXFdWz6bnsjm1qxhZkciYlca0+ydiDQ8u0i8QCAQMvR52PefVOj4fayTEpnWfHdUnQQoSZTUNKM72O7Rx40aqq6v9di9LS0vZuXMnU6ZMAbxR5Ztuuonq6moaGhqIj4/vdGm4C9m1axenTp0KmnahqipZWVl+KYiaprFt2zaOHTuGruukpKQwY8aMkEXoAkFHEY5yDyNJEjNnzuSTTz7xVRvLstxl7Z6bIzo6Oqg8nKqqxMbG+r4vPXYGjyOw+lhz6Rz+5JjPUQZvTnLfoe2PrpQcLmPzv7M5k1eFPdLGuMUjGb94FJIcmADdUNHImdyKoJ367NE2bv7zdUQknKsYdze6ee+hT3DWuTANE0ODY2tPUJFXyZI/LeyWxiQCgeAiZPbP4PA74KwF3eltMa3a4abnoDu1fqNSvMoWwYg/l+JmGAYnT54McEZ1Xefo0aM+R7mJ2NhYvzW/LTQ1qDp16hSyLJOenu7T2Q/G4cOHQ+6s3njjjfTp08fv2KeffurXLKuwsJD33nuP22+/vcudesHlySXhKBuGwalTp6iqqiImJobBgwdfVMLkKSkpLF26lP3791NVVUVSUhJjxozp9sKF/v37Ex4eTm1trV9kWZZlhg0b5vtec2khnUiPI7DTUnupyKti+S9W+yTmHDVOdr6xD0eNk2n3TQqc26khyTIQGJmw2FQ/Jxng+Od5eJweP8fa0AyqCmspPVJO8kiRniEQdBlF2ZC3xqsSMfJmCIvtaYtaT1Q/+MZB2P405K2GuCEw7fuQPL577QiLhXF3w/7XvekWTVjCYdbPfN826SIHI1h3vPbi8Xh47733cDqdmKaJYRgcP36ciooKlixZEvS5EWp+SZKIi4vzO1ZZWUlpaWnQjrJHjhzp8o6CgsuTi95RdjqdfPjhhzQ0NKBpGqqqYrPZWLx4MeHh4S0P0EuIjY1l5syZPWqDJEnceOONrFu3jqKiIkzTJDExkdmzZ2O3233nJY3ogxEkaqvaFDJmp3aaPdlv7EO7QLlCc+kcWHaUzFvHYI+0YZom1YW1uBs9xA+OwWJX0Vz+C6+syqROHRgwfnlupZ/Osw/TpLKgRjjKAkFXYBjwzl1w7CNvNFSxwSffg7tXwOAre9q61hORCFf/wvvVk1z/D7BEwK5/e1NBIpNh4d/8fpaqqtKnTx/KyvyblUiSxODBgzvNlOPHj+PxePyccsMwqKyspLCwkIEDvetwfX099fX1xMbG0r9/f/Lz8wMc+fj4eF/udBNVVVVBnW1d1ykvL++0+xAIzueid5S3bt1KbW2tb0vJ4/GgaRobNmxg/vz5PWxd76a8vJzs7GwqKiqIjo4mKyuLlJQUFi5ciKZpGIYRdLvMYlOZ9Y0prHtqK4ZmYBomql0lcUgcQ2d3Xn5eRV6VX0fWJgzNYPnPVzPnB1fy2e/XUVdWfzaSbDJqwVAOfnwM3eO1S7EphEXbybx5TMA4CWlxqDYlwFmWJIm4ASLfTSDoEg6+CceWnStAa8rzfXMJPFQCslA2CEltMaz7NRxf7pWDm/o9yLwfrvsbzP8zuBvAHkMwbc5Zs2bx4Ycfous6uq77GkhdmHbRESoqKoJGiA3DYPXq1SxZsoStW7dSWFjoKxZMT0/HYrH47GpqZz1r1qyAcWJjY4NGxhVFISGhC/WrBZc1F72jHExazTRNCgoKMAzjokrB6E5KS0tZvny5b1FrbGxkxYoVzJkzh7S0tIA3+QsZOjuNxPR4jnyWg7PGxeAr+pM6dSCy0nk/7/jBsdSVBm8MUlVYwwc//gR3vRvvuul1dg9+fIw5/zeDon0l1JU2MGB8MsOvzcAaHihSP+zqIex6cz+6W6dp7ZVVmeh+USSP6hNwvkAg6AR2vxAorQaguaBoOwyc1v02XQw0VsC/Mr2KG4YGtYVeWbiSPXDd30GxNJu+Eh8fz+23386RI0eoqqqib9++DBs2LGTucHtoigIHc5bdbjfLli3D6XT6nGLwPsMnTZqEruuUlpYSHx/P6NGjg7bMTkhIIDExkbKyMr/nvqIojBw5stPuQyA4H+FFXqZs27YtYDHTdZ0tW7aEzGW7kLgBMUy7bxJXf286Q2YM7lQnGWDSbWNRLMHH1F36eU7yecc9Bqd2FpN153gGjE+m6lQNJzbl43EGLty2CCtL/riA/hP6IckSskUm/crB3PibuaKQTyDoKsxmmkq0cu25LNn+DLhq/ZU2PI2w8zmoK2nVEGFhYWRmZjJnzhzGjBnTqU4ywNChQ5vVOm5oaAjIL25qTz1+/HiGDh2K2+3m+PHjNDY2Bh1j4cKFDBs2DEVRkCSJfv36sWjRoosq1VJwcXHRR5RTU1MDospNPeRFNDk0F4rNN9GU690b2oT2GZrA9Aez2PDP7UFTMJCkgAeraZhUF9Xy+lffR/cY6G6d4+tPkv36Ppb+eSHhF3QFjE6O4vpfXuN7ORAOskDQxUz4EhRuC4wqKxboP7lHTLooOLnmXBfA81Ht3qhy1IJuN+lCrFYrixcv5s0332z55PNwOp28++671NXVoWkaiqKwe/durrvuOpKTk/3OtVgszJo1y1fTI9ZsQVdz0XuS06ZNIyIiwufYWSwWwsLCerwwrrcTSkZHUZQe6350ctsp3v/xJ7z25fdY9/RW6sobGDlvKBHxgZECxapAkPVRtSnUlTfgbvT4WlhrTo3GagdbX94Vcm5JksSCKxB0B2PvgiHXeAvQkEAN8/7/rW+BctHHbrqO+IzgmsmGB2ICi5W7gzNnzvDpp5/y2muvsWLFCsrKyoiJiSE9PT0gUNXU5TUYYWFh1NbW+nY5dV1H0zTWrFkTcodTrNmC7uKiX5XCwsK47bbbyM/Pp7KykpiYmFbl2F7uZGZmsnnzZr/0C1VVGTNmTI9E4ve+f4js1/b6CuuOrsolb3MBt/z1eq596Eo+fHilX/DY0HTSZgymYHuRT+VCsSpEJIZTU1wXEIE2dZP8bYXddTsCgSAUsgJ3vA/5G7zSauF9YMztECHqAppl6vdg/2v+XfgUK/QdC31Hd7s5JSUlfPzxx75nSH19PadPn2bevHlMnz6dU6dO+XWXNU2TQYMGUVBQ4LumyXk+P2f5fJxOJ7W1taKZiKBHuSS8SUVRGDJkCEOGDOlpU7oVt9tNfn4+hmEwcODANuVoDR8+HIfDwe7duwHvIjZixAiysrK6ytyQeFyan5MM3hQKj8PDnncOEhZjR1IkTM0873M4vb+Ua34wgwPLj+JqcDNk+iBGzM3gv196B0MPjELI6kW/gSIQXBpIEqTO8n5dTugeyPkE6k7DwOmQFKjGE5K+o+G2t+HDB8FRBaYOadfA0v90nb3NsGXLloA6F03T2Lx5MzNnzgzq+Obn5zN37lyOHz9OdXU1SUlJjB8/nk8++SToHKZp9tgOp0DQxCXhKLcXTdMoKirCMAz69+/f6YUNXUl+fj6rV6/2fW+aJpMnT2bs2LGtul6SJDIzMxk3bhwNDQ2Eh4f3WBS+urDmrLyb/8Jq6CZF+0uRJDC0QMfX49SI7hfFDb++1u/4wIkpFOwqxjzPWVYsCsPmdM2LlK4ZyIrYBhQIuhzDgPz10FAKA6ZB7KCetqj1VByHF2d5JdxM3VtfMfwmuPnV1kviDV0I3z8FtafAGgXh8V1rczNUVFQEPV5dXU1eXl5QR1mSJOrr67nmmmv8jo8aNSpogXlsbGxQ9YuOYhiGSN0QtJrL1lEuLCzks88+831vGAazZs1i6NChPWhV63C5XKxatSpgIdq+fTv9+/cnPr71i6eiKERHR3e2iW0iPDYMQwvewjSqTwSO2iAFLHijzqo18AEz+1vT+ODhlTRWNGIYJpIskZgWR9Zdnds1q2BXMZue3UHt6TosYRbG3jSCSbeP7XT1D4FAAFTlwUtXe+XRwNusZOKXvRrCF4PD8+ZSqC/FLy/s2Eew63nI+krrx5FliO28JiHtxWaz4XA4Ao5bLBYsFguSJAXNLw4WkBk5ciRFRUWcOnUK8HaDtVgszJ07t1Ntrq6uZsOGDZw+fRpZlklLS+PKK6/EZrN16jyCS4tuc5QlSfoEmA/81jTNR7pr3mC4XC5WrlwZ8Pa6fv16kpKSetxxbIn8/Pygb8KGYZCTk8PkyRdX5XhEQjgpY5Mp3l+C7jmnXqLaFMYvGUVdWQObnt3ul5ohSRDTL4ro5KiA8cJi7dz+1I0U7S+h9nQdCWlx9B2WGPAzczW4qcirIjzWTmwbG4yUHC7ns8fW+WzyODzse/8Q7kYPMx7s/vQVgaAr6E3rNm8s9kZSz5eX2/MiDJoOY+/sMbNaRVUeVOYSUDzhaYTsf7bNUe4ljB8/nuzs7IA6l7Fjx5KRkcG+ffuCRpWDdQKUZZl58+ZRUVFBaWkpERERDBw4MKBexjAMysrKkGWZPn36tCki7HQ6ef/9931504ZhkJeXR3V1NUuXLhXRZUFIusVRliTpTqBzw3kd4OTJk0GPm6ZJTk4OEydO9B2rrq6murqa2NhYYmNju8fAFgi2+IDX/lCf9Xau/eGVrHlyM4W7i5EVGUmRmHb/JPqPS8Y0TE4fKCV3Uz6SBJIsYQmzMO+ns0OOJ8kSA8b3g/H9gn6++50D7HxjP7IqY2gG8YNjWfjI1YTF2oOefyE739gX0NFPc+kc/vQ4k+8ejyWs5+X1BIKO0KvW7Yocb+rChRrMngbY/pS/o1xfBoVbvEWCA6f1jmiz5gIpxE5TMMm3i4CxY8ficDg4cOAAsixjGAYjRoxg4sSJyLLMtGnT2LJliy/FwTRNrr322majtwkJCSE77BUWFrJq1SpflNpisTB//nz69GldEejRo0cDno+GYVBTU0NpaWmADJ1A0ESXO8qSJMUCTwLfB17r6vlaw4W96JswDAOPxwN485c/++wziouLfYtAv379mDdvXo8ragwcOJDNmzcHHFdVlbS0zmsh3Z1Yw60s+H9X4ah14qx1EZ0chXK2+E6SJa7+3nQybxlNyZEzhMeHMWB8crtTHE5uL/R15GuSkDtzopKVj61j0WOta3teVVgT9LgsSzRUOojtLxxlwcVLr1u3PQ0gh1h3XXXn/n/Nz2HzH71qEKYBEX3hC6sgrofXxYRh3pbTF2pHq3avXN5FiCRJTJkyhYkTJ1JfX09ERIRfnc+oUaMYMmQIp06dQpZlBg4c2O46oIaGhoBdYI/Hw/Lly7n77rtbpftfVVUVMpBUXV0tHGVBSLojmfJx4KBpmq93w1ytYuDA4JqTqqoyaJC3OGT79u0UFxej6zoejwdd1zl9+jTbtm3rTlODEhkZSVZWlq8zEXhtT09PJykpqYet6xhh0XbiBsT4nOTziR0Qw4hr0xk0MaVDecD7PjgcEA02dZOyY2fY+vIuSo+eabE7YWJaXFAdZ9M0iUgUHaIEFz29a93uM9rr/F6IaofRt3n//+gy2PKEN0LrqgV3PVSfhNdu6PmOf7IMN7/m1YtWzkZULZGQMBymfb9nbesgFouFuLi4oE6w3W5n6NChpKend6hY/vjx435NxZrQdZ3PP/+ckydPBv38fBITE0MGudpS1yO4/OjS0KgkSVcCX6C3bN+dJSYmhjFjxnDw4EHfG6qqqgwePNj3Vhlsm0bXdY4ePcqMGTO63eYLGT9+PAMGDOD48ePous6QIUNITk4WeVatwFkTfKvT0E32vneIg8uPMmhSf6794UwkOfjPc9Kd4yjaV+LncKs2hXGLRmGxXbY1soJLgF65bisqLH4J3rodDLe3jbMlwttoY8p3vOds+1tgxNY0vM5y+WHoO6q7rfYndRZ8+xjseQlq8iFtDoxc6u1IKGgWh8MR0lHOy8ujsLCQ8PBwFi1ahN0ePH1u2LBh7N69G13XfYEQRVFITExsdfqG4PKky57okiRZgH8BfzJN82grr/kK8BXAF9ntKqZMmcLAgQM5duwYhmGQkZHBwIEDfY7mhYV+TTT9I+sNDmlz+VyC0AzM6k/N6ToMLUgEwvTmGhfsLCZnw0mGzg6+ZdsnPYHrf3UtW17I5syJKsJi7ExYOorR1w/vYusFgq6jret2d67ZDL8BvrbbW/xWUwAZC2Dc3WA522XUWR38Oln1Rph7A9EpMOvhnrbiomPAgAEcPnw45HPZ4/FQV1fH1q1bueqqq4KeY7VaWbJkCZs3b+bUqVMoisLQoUOZPHlyr3ieC3ovXRn6+jEQBvy2tReYpvks8CxAVlZWl++VpaSkkJKSEvSzfv36UVxcHHA8KSlJ/KO6yJmwZBQ56/Jw1bn8VDbOR3NpHF2dG9JRBkge2Yclf1zYVWYKBD1Bm9bt7l6zSRwGC54I/tnIm6HsAGgXSJaZJvTL7HLTBF3HgAEDSEpKorS0NKSzbBgGJ06cCOkogzdtcd68eV1kpeBSpUtylCVJGgT8P+BngE2SpNizxSGc932vbrczY8YMrFarT56mSdfxyiuv7GHLBB0lLMbOrX+9gQk3jyZ2YEzI9Ioez2sUCLqRi37dnvwNr76w5WyNgKR4//+Gf4AqdHIvZiRJYuHChUyfPv2ir8MRXHxILRUttWtQSboKWNvCaZmmae4J9WFWVpaZnZ3diVa1ncbGRg4ePMiZM2dISEhg9OjRRERE9KhN3Y1pmmAS2pm8yDF0g1e++DauOrffcdWmMusbUxh61cWpIiLoWSRJ2mma5kUlqN3Rdbs3rNm4G2Hvy3BsGUSlwBXfhH4TetamHsA0jLPdTi9NVqxYQWFhoV/RtSzLZGRkNBtRFghC0dya3VWpF3uAq4McXwv8F3geyOmiuTuN8PBwrrjiip42o0uoOFnF/mVHqCupxx5twzRMZItM+oxUUqcMwNAMtv9nD4c+PY7m0kgcEs+VX51M0vDEnja93XicGrpbxx59LrokKzLzfjyLFY9+7tWh9uioNpUBE/qRPrPnu18JBN3IHi72ddsaDld83ft1ieGoLufYJ69y5tgerOFRyKoFXXOTPGY66dfcgmKxkrPmbQ787284qsoJi09i/J3/R9qsm3ra9Haj6zputxubzebXfGTmzJm8//77eDwePB4PFouFsLAwpk6d2oPWCi5VuiSiHHIySTJpZYenXhGduETJ31HIqsc3oGsGphH49x8eH0bikHiK9pX4dIbBG2W9+cnriO3fuzsXXoizzsXnf93Mqd2nAYhKiuSqb08jeeS5SmdnrYvcjSdx1rnoPy6ZpBFt6/okEJzPxRhRDkVr122xZncddSUFfPrwreguJ4bmDvhcVi0MnX83OZ+9ge4+p+qjWO1M+dpvGTzjuu40t8MYhsH27ds5dOgQpmmiqipTpkxhxIgRvnOaFC9qamqIj49n8ODBAZ38BILW0tyaLX6rLjMM3WDd37eiufWgTjJAY6WDguwiPycZQPfo7H3vUHeY2WmYpsnyX67m1O7TGJqBoRnUFNWy/JerqSut951nj7Yx+rrhTLp9HMkj+wonWSAQ9Br2vPonPI31QZ1kAEPzcHT5S35OMoDudrL3jb90g4WdS5OTrGkauq7jcrnYvHmzX1ddRVHIyMhg0qRJpKWlCSdZ0GV062+WaZpSa6LJgq6jrrQej9PTrmtNw6Qir6qTLepazuRWUn2qNkAKztAMDqw41kNWCQQXD2Ld7nlK9m8ObN/dShrPBKo39WZ0Xfc5yeejaRo7d+7sIasElzOiM8IljGmalBwup6a4joTBsfQZmoAl3IIRIpLcEpIikZgRvIORrhnsems/B5cfw+P00G9UX6Y/mEX8oNgO3EHHqSutD1qIaGgGNYW9RFtVIBAIzlJbnMeZY3uwxyaSPHYasqJisUegORpavjgIkUkDQn52ctNy9r/5VxrPlBCZPIgJ9zxE/4lXtdPyzsHlcoXsjFpfXx/0uEDQlQhH+RLFWedi2SOrqCmp8x4wTfpkJLDwF3NIHtGH04fKMPXQDrMkS8iq7Jd+oVgUxi/2727lqncBEhv/tZ28rad85xftLeH9H33CrX+/kag+PacUkjAkHkMPjMQoVoXkUaIbk0Ag6B2YhsHWZ37Kqa2fgqwgSRKW8Eiu+cUrDF1wNwff+UdAaoUfsoKsqBgel++QYrEx/q4f+J2mORvRXA4Kd33Orhd+4xuztiiXTU9+nxnff7JHnWW73Y6qqgGdcQHRYEvQI4iknkuUDf/cRlVhDZpT8365dMqOVbDjv3u49qGZJKTGodoUJCUw2qpYZGZ+YwpjbhiGfPZzSZYwNIOc9ScxTZPqwhre/cEKXvniO7zyhbfI2XAySE6zwb4PDnfL/YYipl8UqVMGolrPyb9KsoQ13MLIeRk9aJlAIBCc48Tn73Jq+2foHhe6qxHN2YCjqpyNT3yHkTfez4DJc5EtVhRLoCa0rFpJm3UTU772Gyxhkd6DkoSua5zc8BGa24mnsZ6NT36fdx6YygffmMOOf/08eE7zayEaunQTsiwzefJkVNU/jqeqKpMnT+4hqwSXMyKifAli6AYntxYG5OXqHp1ja04w/YEsbn7iOipOVtFQ0YisyhxdlUtVYQ3xg2IZe+MI+mQk8Onv1nnTFnQT0/B+7XnnAJGJ4Wx9cRfOehc0k8VhaAblxyu6+G5DY5omh1fmUJFXiaRIqDYVRZUZPGUAk++ZgC1SNCEQCAS9g+MrX0d3XdhV0KDu9EkaK0qZ/u3Habjze9ScykENi+DU1k8oP7obe2wiGdfcRv9JV5Oz8g0M42zAwjTB1CnevZ6dL/6W+tICzhzbg6E1X6NSV5LfRXfYOkr2b6HwraeILs5DC0/AnT6D+PQxTJ48mb59+/aobYLLE+EoX4I0ObXB0D3nor4JqXEkpMYBMGB8P++1pkl1YS2lx8rJzy4MSM/QXDrZr+9D8+jNOsngjdwmpMa2/0Y6yKZnd3B0dS6aS/fZo9oVpt43kbBoe4/ZJRAIBBcSKq1CkmTfZxGJKUQkpgDQd8Qk3zkNZ4qpzj/K4WUvBDjbhsfFyfUfgCRjeIKrZpxP0/g9QcG2lWx96sfnfhZ1VdirCpm6cD6JwkkW9BDCUb4EUSwKfYclUnq03M+ZlWQYNKl/yOvKjp3hsz+sx1nnOhuMCO4Ju+rdaE4t6GcX2jHugpzm7qKxysGRz3LQPeei6qZh4mn0cPDjY2TdMa5H7BIIBIJgDJp+HYfffw79vBxjADUsguiU4B1CHdVn2Pjn71CZdwhZUdGcwQv+TMNAsdn88peDoVjtjLvje+2yv6OYpsnul38fNB1k93//xNxfv9ojdgkEwlG+RJn9ram8/+NP0D0Gutvbbc4SpjLt/kkB5zZUNLLp39nkbS5ocVxJlugzNJ7yYxV4LnCWZUUCScLQDRLT4pn59cnE9IvyfV6RV8Wut/ZTVVBDn4wEMm8ZTeyAmI7fbBDO5FUhWxQ/Rxm8edOn95fCHV0yrUAgELSLEdd/iVNbPqGhvBjN1YisWpEUhWnfejygHbXucXPg7ac5/OHzmGdTLZpzgsPi+uKoORNwXJIVJNWC4XYRFt+X8Xf9H4Omzvd97qgq4/BHL1CybzPhCUmMvPFBksZM6aQ79kdzNeKoKg/6WdXJnq11EVzeCEf5EiVuYAx3/nMxR1blnHVM4xk2ZwjWcKvfeR6Hh3cfWkFjlSPESOeQFRlLmMqsb0xl5e/XUV1ci3HWEVUsMvGDY1n8+ALfuedTtK+ET36zFt2tY5pQXVTLiS0FLPr9PBKHBJecawsFu4rZ9b/91Jc1kDQykaFXDcEMonYhyRLRKVFBRhAIBIKewxIWwfzH3qFgywpKD2wlPLEf6XNuCZoKsfGJ71Cyb4vPSQ5EAkyQJBSLjSu+8iuKsteQt+79cxFbScYSHsl1f/4IW2QssmrxG6GxsoxPfrTY2+hE91Bz6jhlh7OZ+MWHybjm1g7fb82p4+z739+pzN1PRN8BjF78VRSrDc3ZGHBuWGxih+cTCNqLcJQvYezRNiYsHd3sOcfX5eFu9ITON5Ygtn80sirTf2wy45eMIiIhnEWPzWPnm/vJWXcSJBh2VRoTbx8X4CA3sfFf2325wuBNg9CcGpv/nc1Nv5vXzjv0cmRVDpue3eEbP29TAaeyi4lJiabqVI1fUaNikRl744hQQwkEAkGPoVispM1aRNqsRSHPqSnMofTA1pBd+gDsMfHYYxKJSkll1KIvEz9kNP3GzSBm4FCOfvwynoY6ksZNZ/wd3ycsNrhM5qEPnsPdWIepn9s51F1Odv/nD6TNWoRisQa9rjVU5R9l1c/uQnM7wDRprChhQ+4BksdNp2TfZv823LYwRi35WrvnEgg6inCUL3PKcyubzTdWbSqzvjmVfqP8Cyms4Vam3TeJafcFpnJciO7RqS4K3tyj7FjgdmBbMHSDrS/u8nfCTfC4NCISwolICKdwz2kkWcIeZWX2t6b1eBMUgUAgaC/VBceQFBUInmohW2wMnX83Y27+ut9xSZYZNv8uhs2/q1XzlOzd5Ock+zC9TVHiBg9vq+k+9r72ZzSXf+RYdzspP7qHjGtvJ2fVmyBJSLLM6CVfY8hVS9o9l0DQUYSjfJkTNyAGxaoEaCADyBaZ5JF9SB7ZscYcsiKjWhU/Z7aJjkq0NVQ6/JQ8fJje9tX3vnQzrno3HoeHiMRwJClQN1ogEAguFqKSB2MaIdpZSzK2qNhWO8PNERbXh7rTeQHHDd2DPTquQ2NX5OwLelxz1jNq8ZcZd+f3cNVUYI/rg6K2P3ItEHQGouHIZc7wa4Z4m3Fc4D8qFpmpX5rIgkeubpNzaZomFSerOHOi0idRJ8kSoxYMQzmv6QeAalMYu2hkh+y3R1pDSuGFx4cBYIu0EtknQjjJAoHgoid+yGhiBw0LyClGksiYezsL//Ae1si2FUnXl57izPG9aOdJy4286X4UW5jfebJqoe/IKwiL65hUW6h0D283wihUq52IPv2FkyzoFYiI8mWOLdLGoj/MZ/1TWyk9egZJgkFXDGDWN6e0WWu4/HgFn/5+Ha4GNxKg2BSGXT2Ek1tP0VjtxBZhwWmYKFYFw2Mw4toMxnfQUbaEWciYlRbQGVC1KUy8bWyHxhYIBILeyFUPP0f2v3/FqW0rMQ2duLRRTP7Kr4lLbdt66qypYMOfvkXVycPIigXD0Emfcwtnju+htvAElrBITENHUa0YmofEEROZ8d0/d9j+0Uu/xrZ//cxP81mx2hly1ZIO5T4LBF2BZJotdI3oIbKysszs7OyeNuOyQvfo3ippte0bDR6Hh//e/663MLAZFJvC1d+dzoDxyZ3WGU/36Kx/ehu5G08iKTKSJDH53gmMub79OXQCQUeQJGmnaZpZPW1HdyLW7O7H0DVMXUextm8tXfnInVSeOBA8F/ksssXGmKVfI3XWIiIS+7XX1AAOL3uRA289BYCp66TOvJFJD/xMRJEFPUJza7aIKAt8KBal5ZNCcGJLAUaIFIjzMTwGJ7edIn3G4HbPdSGKReHq701nwi2jydtyirBYG2lTB3Xa+AKBQNAbkRUVlPY9xutKCqjOP9yskwxefebjn73BqCVfbdc8oRh5w30Mmb2EvPXvIyGTMmm2cJIFvRLhKAs6BUe1EyNYUd0FmIZJ+bGKTp9//7IjbHtpN5IMSBKbns1mzvenM2R65znkAoFAcKngqq1EVizoIdQzzsdRVY6heTo1LaL8yC4+f+wrYJqYhsHe158gY96dZN77I1FPIuhViGI+QafQb3QScitTNmI6ueFHVWEN217eje7R0Vw6mlNDd+useXIzztqWHwICgUBwuRE7aBiG0Xw0uQlLeGRg8WAHMDQP6x//OpqjAc3ZiO52ontc5Kx6k5J9mzttHoGgMxCOsqBT6DssgQGZKai2c+kb3uiu/3mqTSGzk4vsctafxAjRhe/ktlOdOpdAIBBcCqj2cCbc9QMU23lF21KgS6DYwhi16MudGuUtO5yNEaSroO5ykLv27U6bRyDoDETqhaBTyN9RRENFI7IiY41UiIwPY8SCoVSfquXo6lxM3SQ8zs6VX5tM8ojW6TIbukHRvhKcNS6SR/clqk9E0PN0jx5UIs40THQthN6oQCAQXMZUnTxCyb7NKBYbsmrBGhHL4OkLsUbEcOiD59CcDShWGyNv+jIjb3qgVWOapkll7gFqT+cR0z+d+CHBO8MaukZAFKXpM0/ojoMCQU8gHOVejmmYINGrc7YOfXKMLS/s9DUUkSSo1QwGjOvH2OtHMP3BLDSnhjXC0ur7qCqsYdkjq/A4NTBNDN1g5IJhTH9gUsAYQ6YN4uDyo4ENTUwYnNW/U+5RIBAIWoNpmmCaSHLv3bCtPHGQVb+8F93lBLxBBsPjIWZABqkzb2TEDV/C01iHGh6JLLeuyNvjaODz3z1IVf5RJEnCNE3i00Zx1U+fRbWH+53bd8QkzCARZcUWxuAZ13f4/gSCzqT3/ku+zKkqrOHD//cZzy19lX/f+jpr/7oZd2Pve9PWNYNtr+wOaCGtuzR2vLoXAEWVsUVaW+0km6bJJ4+upbHagcfhwePU0D0GR1bmcHJrYCpF32GJDL82w5v2IXlTLhSrwqjrhrLtld3871sfsepPG6k4WdU5Ny0QCAQX4G6sY8vTP+F/90zgjbvGsvrXX6K2OLCzXW9gz2t/PqthfG4nTnc72fXKHzANA0mWsUbGtNpJBtj18u+pPHEI3eXw5h27HFTk7mf3q38KOFe1hzPl679FsdqRFW/us2oLJ3FYJhW5+/n4oZtY8+j9FO/Z0OF7FQg6iogo90IctU7e/9EnXk1iE0yPQe76k1QX1rD48QW9KrrcUNGIESS9wTSh9Gh5u8aszK+msdp5/hoOgObSOLjiGGnTAqXfrvzKFWTMSuXE5gIUVSZuUAwbntmG7jEwDZPqwhryt5/i+l9d2+GW3AKBQHA+pmmy9tH7qS44iqF5teTLDm3ns0fu4Ia/fYotMrZnDbyAyhMHgx73NNbhrq/B1sYW1aZpcnLjMgzNP5hjeNycXP8BVzzw84BrBk9bSMKQMeSt/wB3Qy19Rkwi+4XfUH54B4bmoebUcc4c38PY277NyBvua5M9AkFnIiLKvZAjn+Wgeww/R1HXDCrzayjP6XxptY5gj7KFbCEdmRge9HhLaC6NUO8CHkfohibJI/ow/f5JTPlCJgeWeVMxmmwzTdBcOpue3d4umwQCgSAUFcf3UFuU63OSATBNdI+bE2vf7TnDQhAWF6KFtCyjhgevBWkJUw++NuvN5BxHJg1k7K3fYtKXHqbq5GE8jbV+P0Pd5WD/m3/D42xol00CQWcgHOVeSMWJKr92zD4kqC6s7X6DmsEa7m0hrVj9t+g60kI6cUh80Ki5YlUYNKl/UIWLCzmTWxn8eF4VvbUbpUAguDipLT4Z9LjudlKdf6R7jWkFY5Z+HcVq9zumWO2kX3tbu5p+SJJE31GTCYhwSDJ9R05Cd7cs03l6z8aghXyyolKdf6zNNgkEnYVwlHshfYYmBDieAJgmcYNiut+gFpj59clkzEpFscgoFgXVpjBu8SgGXzGgXeMpFoXZ35mGYlWQFO/CKysSukdn11sHeOULb3NwRfMLpzU8uOanNbz1BYUCgUDQGmIGZFyYKQZ4nc+4EMoPPcngGdcz7s7vYQmLRLHakBSV5HEzmHDn/7V7zKwHfo4lPMrXTturu2xSdmQX7zwwheznf42uhY4uh8f3DXrc0DXsMQnttksg6CjCUe6FjLg2HYtNRZLPOXSKRaZPRgJ90nvfgqFYFKbcm0lU30hfQGHve4dY8eha9FZ06wvGkGmDuOUv1zP2xhHEDYzxKgmZYGgGrno3W1/cSe7G/JDXj7lxhJ+mM3ij3GOuH94uewQCgSAU8eljiEsdiXxe5zpJklFtYQyZvaQHLQvNsPl3kzR2OqZpIqsWSg9s4eMf3kRjZWm7xotOSePGv3zCmFu+Rd9RkzENw9t1T/Ogu12c+Pw9sv/9aMjrR9zwpYAot6SoxKWOICo5sC5FIOguhKPcC7FF2ljypwUMnJiCbJGxhFsYMS+DhT+f09OmBcU0TZb/cjXVRbVobm93PN2tU7j3NJ//fQuN1Y52jRvbP5opX8ikrrwBQ/OP12gunezX94a8duKtYxh61RCUsz8/xSKTMSuNSXeMa5ctgrZhGkbQhgICwaWIJElc/fBzpM+5BTUsAlm1kjJxNvN+9xbWiOieNi8ou195nMIdqzA8bp9SRX1pIWt/+2C71Tps0XGMWvTg2bbU/v/+dbeTkxs/xNNYH/TavqMmM/FLD6Paw1HDIlAsNhKHjmfmD59uly2CtmGaJlorOzVebki9NV8zKyvLzM7O7mkzBK1g8ws72f/B4ZCfKxaZMTeOYMoXMtuc9uCqd/PKF98OqqxhCbNw/xu3N3u9s85FXUk9UUmR2KNtbZpb0Hbc9TVkv/Aop7auxDB0+oyYxOSv/IrolLSeNq1bkSRpp2maWT1tR3ci1uyLh+Ld61n32NcIkBY6i2yx0mdEFrN++BSqLazN43/wjTk0VpwOOK7aw1nw2DtE9UsNea3udlFTmIMtKpaIPkIHv6vRTZ03j7zOB7kf4NQcJEck85VxX2NS0mW1fDW7ZouIsqBDOGtdHFzefLGK7jE4uPwYeZsL2jy+NcKCLTJ4cUlCamyL19ujbPQZmiCc5G7ANE1WP/olTm1biaF7wDQoP5LNZ4/cgau+uqfNEwgEZ9n50m8J5SSDV9at/Eg2u15+rF3jJ2SMC9oOGyA8MaXZaxWrjfgho4WT3E28eOAF3st5F4fWiInJ6YbTPLb9dxyuONTTpvUahKMs6BAVJ6tQrS3LcWsujf0fnXOonbUuqotqW2wxLUkSU7+YGTTfeMoXJ7bPaEGXcOboLupLCoJLZH3+Xs8ZJhAIfBiah/rSwMZNAed53OSt/8CnEqS5HNQW5+FxtCzVNvbWb6Ja7ZzfplqxhTHmlm+iWNquqiHoGhyag0/yPsal+6uSuHQXbxx5rYes6n2IhiOCDhERH9ais9uEq8GNu9HD2r9upmBnEbIiIysS0+6fxIhrM0JeN2xOOtZIG9mv76W+rIGE1DiuuHcCySNE45DeRO3pk17B6gvQ3U5qCoS8k0DQG5AUFdUejtYKh9fQ3BiGzoG3n+bospeQZBlT10m/5lYyv/iTkJ37YgYO5dpHX2Pv609QcXwvYbF9GLX0a6SK9tS9ikpnJXKIyP+p+pZfpi4XhKMs6BCxA2JIHBJPeU5F0DziJmSLTNrUgax5YiOn9pzG8BgYHu/5m57dQcXJKhxVTqL7RTFq/lAi+/iL3qdOHkDq5PbJzQm6h9iBQ4NLZNnCiO+FElkCweWIJEkMX/gFjix7Ed3tbPbchPSx5Kx8naPLX/Y7N3fN2zhrKpAtVlR7OOlX3xzwbzxu8HCu+sm/uuQeBJ1DYlgiZpBVW0IiLXpID1jUOxGpF4IOs+CRq0gZm4RikVFtKpZwC7Iq+eTtFJtCRFwYQ69Ko/Csk3w+mkvnwLKj5G7MZ+97h3jzWx9x+lBZT9yKoAPEp489K5F1Xj64JKPaw0mbtbjH7BIIBP6MufWbpF9zK4rFhmoPR7HYkFUrkurVn5dVC6o9gqwHf8HhD59Hd/krF+luJwVbVnBy/QfkfvYmq35xD0eWv9QDdyLoCDbFxuKMpdgU/xoeq2LlrpF395BVvQ+heiHoNBy1TtwNHqL6RlB1qoYDy45Sf6aBQRNTGH5tBnVl9Xzwk0/xOFqWoIlKiuTOfy3qVc1BGqsd5G05haEZDMrqT0y/qJ42qdehORvZ+/qT5K3/AEPz0G/CTCZ+8SdEtFDAc6khVC8EFwMeZwOOyjLCE/vhaajl2KevUZm7n9jBIxi24G4iElN4857xQTvmXYhssbLo6TW9qjmI5nJQuGM1jqoyEodlkjhsQq96pvQGTNNk+YllvH38LWrdtQyJTuP+sV9mVMKonjatW2luzRaOsqDb0FwaL9/7NpqrZUdZsSrc8cxNASkYPUXOhpN8/rct3r4npgmSROYtY5h0e/vadF+MmKbJyY0fcXT5y3ga6kjJuprRS76KPTq+p03rdQhHWXCpsPKRO6g4HlqzvgnVHsEVX/4lqVfe0A1WtUx1wTFW/+oLGJoH3eNGUS0kjpjE7B89c7Zr4OXBoYqDvHnkdYoaismIzeDOEXcxODq1p83qdQh5OEGvQLWpXHHP+AAFi2CYhonSivO6A2eti8//tgXdraO5dXSPge7W2fPOAc6cqOxp87qN3f95nB3P/ZKqvEPUl50iZ+XrfPLjpbgbanvaNIFA0EVM/MKPvR3zWorESlK7NJe7AtM02fjEd3HX16A5GzF1Dc3loPxwNsdXvtHT5nUbW4u38ovNP2N3+W7KGkvZUryZh9b9H7nVOT1t2kWFcJQF3cq4m0ZyzQ+uJGlEIpF9I+g7LBHF6v9rKMkSfYclEhZtDzFK95KfXejXTrwJza1zfF37OlhdbDiqz3B85Wt+uYqG5sFdX03OZ28GvcbQPOhay1u2AoGg95I4LJNrf/0q/SfNITwxhYShE5DVQIk3Ceg3/sruNzAIDWWFNFaUBBzX3U5y177dAxZ1P6Zp8tz+f/pJv5mYuHQXLxx4Pug1uqkHSMUJulD1QpKkW4A7gSygL1AAvAv8zjTNuq6aV9D7SZ0ykNQpAwEwdIM1T27i5DavMypJEB4bxrUP9Y4FF7zR7WBIzXx2qVGVdxBFtQbkKupuFyX7NzNq8Zd9xxzV5Wz/1885vXcDmKa3O99XHyUqeXB3my1oA2LNFoQiPm0Us374lO/7Ix+/wt7XnkBWVJC8Shqzf/xPFGvvaOx0Yfts/89aJ2d6sePQHFQ6g+94Hq8+7ve9x/Dw8sEX+fTkJ3gMD8nhyXx1/DfI7JvZHab2erpSHu4hvAvtw0AhkAn8ErhakqTppmleHr+tgmaRFZlrH5pJdWENZTkVRCZGkJgWh2LtHWkXAIOy+rPxn9sDjitWhfQrU7vfoB4gLK4vRpCHjyQrRPQ9J9tnGDqrfn43DWdOY+re88sO7+SzR+7kxr9/hiWsd+ScC4Ii1mxBqxhx3RdIvfIGSvZvQbWF0XdEFrLae9RmI5MHY49JoKG8yO+4YrWRNmtRD1nVvdgUG6qsouuB63aMNcbv+6d2/41NRRtxG95ASHFDMb/b9ii/n/kHMmKHdou9vZmuTL240TTN20zTfNU0zXWmaf4F+A4wBbiqC+cVXITEDoghtn80m57dwUv3vsULd7zJqj9uwNXg/YdrmiaaW6cnik/DY8OY8ZUrUKwKsiKDBKpVYeT8oSQNT+x2e3qC2MEjiOqXiqT4Pwxl1cLwhff6vj+9ZwPOmkpM/byCTdNAczvJ37S8u8wVtA+xZgtajT06nqTRk8lZ9SbvfmUGb983mZWP3Elt0QnfOfrZhiXdjSRJzPjek6hhEd78akC1hxOXOtJvvbqUUWSFBakLsV4g/WZTbNwy7Fbf97WuGjYWbfA5yU24dTdvHftft9ja2+myV0DTNMuDHN5x9k/RxP0SQj9zBvf2HcgxMVinTkFS2h4Nritv4KNHVqE5vQ6WiUnetlPUn2lg9HXD2frSLhxVTqwRFjJvGc24xaO6VeZn5Lyh9B+XTM6GkxiaQeqUgSQOuXzUHiRJ4uqHn2Pjk9+jImcfkqyg2sKY/NVHiR00zHdefUkBhu4JuF53OfweoILeh1izLx80t5PSA1vBNEkaPQXVHt7mMby7R/fQcKbY92JccXwvn/3sTmZ8/6/s+e/jVOcfRVJVUq+8kUlferhd87SXhIyxLHpqNfmbltNYWUqfEZPoN/5KJPnyKc364uj7cOhOPi9YgyIrGKbBzUNvYd7g+b5zyhxlWGQLHsN/3TYxOVUruvNB93fmm332z8PdPK+gi6j9y1+p+9vfkSxeuR0pIoLEN1/HMrRt2zUHlh8N6OxneAzKcytZ9/ct6GeblLjq3WS/vg/DgMybu7fbW3RyFBNvvXzk4C7EHpPAtb/8D47qcjyN9UQmDwpoYRs7aDiyogbkMqv2cOKGXF66nJcIYs2+xDi9ZyMbn/yeL9BgGDrTvvkHBk6Z26ZxSvZtxllT4b97hInucfH5Y1/B1LyOl+lxc3LjMhrOnGbOI8GLyLoKa2QMQ+ff1a1z9iZUWeVbE77NfaPvp8pZSZ+wPthU/yL5fhEpaEagZKssyQyNE2kX0I2qF5Ik9Qd+DawyTTOo2KYkSV+RJClbkqTs8vJgwQ1Bb8K5YSP1Tz0NLhdmfT1mfT1GWRkVd9/b5hSJqoLqoC2wDc3wOclNaC6vNNvlUkgXCk9jPblr3+Hge89Sdji729JSwmL7EJ2SFuAkA/QdPZmolDS/qnhJUbFGxjJoyvyA8wW9F7FmX3q46qrY8Odvozkb8Djq8Tjq0V0Otjz1QxorS9s0Vn1pAUYQB0t3uzA1/+OGx8WZo7uoLb48VIJCoRs6W09v4X9H32RT0caAKG5XEWGJYEDUwAAnuemz69KuD+zOJ1u5ddjt3WJfb6dbIsqSJEUCHwAacF+o80zTfBZ4Frzi9d1hm6D9NLz8CqbDv7UppolRXY1nzx6sma2vmE0e0Yfi/aXo7gvy2UL8FmhODY/TgzU8UKbocqDyxEHW/PpLGIaO7nGhWmwkDp/E7B+3TUy/uuAYh95/lupTx4lPG82oxV8mOiWt3XZJksQ1P3+Zva8/wcmNyzANnYFXzGXCPQ/1mop4QcuINfvS5NS2z4LqIZuGQf6mjxl5Y8i/6gDiBo9AlhQCwhuSDEHqPmXVQl1JfofWl4uZWlcNP1r/EFWuKpyaE5tiJ8oaxR9n/5l4e+vT+KqcVbyf8y67y3aTEJbAkoyljOszvkO2fWnM/SSG9eG9nHep99QxLG44D4x5kAFRA1q++DKgyx1lSZLswIfAEGC2aZqFXT2noHswamuCfyDLGHX1bRpr5IKh7P/wCLpH9znHilVBsci4GwLfuq0RViz2y6e70vmYpsmGP38Hj+Pcz1hzOSg/kk3umrcZOu/OVo1TfmQna3/7IIbHjWka1Bbmcmrrp1zzy1eIH9L+tBZLWARZ9/+MrPt/1u4xBD2HWLMvXTyOhgtSJbwYuua3nrSGxOETiRk0jKqTh3ypVpKioljt3qjyBbUKusdNzIDLdyv/+QP/prSxFN30BoOcugO3080/9jzN/5vaurWyylnFd9Z+iwZPPZqhcbI2jwNn9vPgmC8zP21hu22TJZmbMhZxU8bloQjSVro09UKSJAvwDjAZuM40zf1dOZ+gewm78QaksCCdmDQNa9akto0VbWfpnxcyZPogLGEWwuPCyLxlNNc8dGWAVJxqU7jinglBm4BcDtQW5eKqqwo4rrud5K7xium3Jg0j+/lfo7udNKl+mYaO5mpk18u/71yDBRcNYs2+tEmZELyYTbHaScmc1aaxJEliziPPM2z+3dii47CER5E26ybm/uq/qDb/Tn6K1U7/SVcT2ffyrQndXLzJ5yQ3YZg6O0p3YJhGq9bsd4+/TYO73i+n2KW7eOHg87h10dypq+jKhiMy8CpwDXC9aZpbu2ouQccw6upwfb4O0zSxXzUbOTq6VddF3Horja+9jpaTi9nYCIqCZLEQ85tfI4e3vbo5KimSuT8KXKwX/L+r2PrSLqqLaolICCfrznEMnX15bt8BYJqEekVwVJfzzoPTcNfXEN0/nUlf/CnJ46YHnGcYOtUFx4KOUXF8XycaK7hYEGv2xYOha5Ts34KrtpK+I7OI6NM6BzRm4FCGXH0zJz5/z9dlU7WFMWDKPBIyxrXZDtUeTua9PyLz3h/5HZ/32zfZ/cofKD24DdUeRsbcOxmz9GttHv9ywDRNvr7qq5xuKCbWFsttw+7g+iE3BFV12l6yDc0M3BEAOFV3ivTY9K4297KkK1MvngZuBX4LNEiSNPW8zwrFdl7voPHjFVR/57ugKICJqenEPfFnwhfd1OK1kt1On/ffw/HhRzg++QQ5MZGIe+/BOmaM33mmy4Vr+w4wTaxZk3Bv345ecArLuLFYxo9vUeZtwIR+3PKX6ztym5cU0QMysEbGorkuyA+XFVy11b4tz9rCHNb/8ZvM+dkLJA7zzxcvP7wz5PiWiKhOt1lwUSDW7IuAmsJc1vz6S2huh7cmRNfIuPY2Jn7x4VZJZk667xH6Z80hb937mIZB6swbScmc7XetaZpU5OzDXV9NwtDxNJQVUZG7n4jEfiSPm+HtyNcM0SlpzP7JPzt8r5cSU/tNY2PRBr+osoSEBJxuKAag2lXNy4dexGO4WTL0Zr/rq13VlDWWBR1bMzRibDFBPxN0HKmrKuUlSToJhOpZ+yvTNH/Z3PVZWVlmdnbQQmtBJ6GXl1MydTo4nf4f2O0kb1iPktKvw3M4162j8qtfB9P0tg51OMBm87Y9RcIycSKJ/3kZySYKvdpCRc4+1vzmfkzDQHc5Uaw2dI87aBFN0tjpzHnkeU5tW8n+t5/GUVGCYRhoIXISx97+XRH96SCSJO00TTOrp+1oC2LN7v2Ypsmy786nvrSQ8yudFVsY0775GAOnzOvwHPVlhaz9zf04ayoACc3ViCQryIqKpChYw6O59lf/aXUUW+ClxlXDD9f9HzXuGhyagzAlDLfhDkjHAAhXw3n1+jfIqznBywdfIrc6B0VSqHPXYQSWTzI8bjh/nP1Ed9zGJUtza3ZXNhxJ7aqxBZ2DY3mITmmGQeNHHxH11a90aHy9spLKB74cqIxx1jE3AffOndQ99TTRP/i/Ds11uZGQMY5FT6+hYMsnOKvLieg7iOx//xLN1Rhwbm1RLsdXvcnulx9DdzuDjHYeksTQa2/rIqsFvRmxZvd+qguO4aw+w4VyQLrLwfGVb3TYUTZNk3WPfZX6siK/l25T19DPFgHqLgeb//YQcx99vUNzXW7E2GJ45tp/sf30NvLr8ukf2Z9n9jxFoxa4ZnsMDwfPHODRrb/CpbuaHVdG5rq0G7rKbAHdqKMs6H2YDicE6QOPrgc6t+3A8eFHLRcoOJ00vP5Gh+e6HLFGRJNx7W2MueWbDJw6FzNIpAEgun86+157omUnGW/OoSWidTnqAoGge9FdDgjRWU5zBjpcbaW64BgNZ04H3ZlqwjQMKk8cxFUbWFAsaB5VVpnefwZ3jriLWQNm0z8yeFTeqlh59/g7rSrQsygW0mMzOttUwXkIR/kyxn7NnLO5yf5IViv2a6/p8PhmbS14WiGo3ppzBM2iWu0Mv+6LKDZ/FRLFamfYwnvRPc1HJcC7fTvyxvtbzD8UCAQ9Q9yQUXhrLv1RrHYGz7iuw+N7GuuCNhIKQJLQNbFud5R7R30xoNGHTbFx+7A7ya3OwQzVSOAsFtnC0NihDIoe1JVmXvYIR/kyxjJsGBFfuNcr8SZJIElI4eGE33ZbQEFee7DNmolkbaEhiMVC2HXt138UnGPc7d9l7K3fwhYdjyTLxA4axuwf/5N+Y6dBCJ0MSVGQFBVLeCSjFn+F0Uvan5tsaB7c9TXd1iFQILjcUFQrU7/xOxSrHensC61qCyd6QDrpnZAyFT9kNIYRZJfxAiIS+xMe37fD813uTOibyY+u+AkDIgcgIxNvj+f+0Q+wKGMxfcOTgl4jnf1PlVVm9L+SR6b+ot3zG6ZBnbsOvRV/55czXVbM11FEYUj34dq2jcZ33gXTJHzJEqzTpraqero1VH7nuzhXfOKVj2tClsEwkMLDkRMT6bN8GUp8XKfMJwjOrlf+QM5nb/ilXyi2MKZ/508kjZmCag0Lqq/aGgzNw55X/0zOqjcxDR1bVCwTv/gwg6Yt6CzzLzouxmK+jiLW7O6j7vRJcla/hbO6nH4TZjFw6jwUtXO6lOaufYedL/zmvOJgyfuebZooVhuSojLnZy+RkN7xYIogNDtKtvP4jsf8cpRtio15g+dz76gvosoqqtz+3b/P8lfy8sEXadQaUSWVm9IXc9fIu5GD7FhcDjS3ZgtHWdBhHCtXUvfU0xilpVinTiX6/76POthbPG+aJs5PP6Xxf2+BaWK/biFGZRVaXh7WiRNRBw2k9sm/oB06jDJwANEPPYR9ztU9fEeXHoausfe1Jzi+8nVM08Bij2D83Q+RfvXSDo+949+/Im/d+/5OuNXOrB89Q/LYaX7nenMgi4lLHUl4fPCICUBF7gFKD2zBGhHDoKnzsUZeXNJHwlEW9GaqTh5m/1tPUXXyMFH9Uhl7yzfpM+Jck6iKnP0c+/RVnNVn6DdhJpawCCpzDxCRNJB+42ZwdPnLFO9ZjyU8kmEL72XYvLva/aItCM3qglW8eOB5HJoDWZKZn7qQ+0bfj9Ka9Jhm2Fy8iSd3/jnACV+csZS7R97jd+4Zxxnyak6QFJ7EoOhQojhQ3ljG5uLNmJhM7TeV5IiOq2Z1J8JRFrQJ0+mk4a23ca5YgRwbS8SXvoht8uSg59Y//wK1v3/sXPGfoiCFh9P3s09RBw5sdh5X9k4q7rjTr3BQCgsj9o+PE75kcWfdjuA8dM2Np6EOa1Rs63IRW8DjbODdB2dgBMmB7jvyCq755SsAuOqqWPfY16guOIasqOiamyFXLSHr/p/7PWBNw2DLUz+iMHsNhuZGVq1IksTsH/+DvqOC/w72RoSjLOhOTNPEtXoNDa+/gel2E37LUsJuuAEpSA3KmeN7WfPrL6G7XTSpZyhWOzO+9wT9JzUfpHDVVrH8Bzd4U6zObtcrtjAGT7+eKV97tNPvS+BNj6h11xKhRmBRLJ0y5rfXfIP82vyA43bFzuvX/w9FVtBNnWd2/53PCz/HIlvQTZ206CH8fNovibRG+l23Iu9jnt//HObZ/yRk7hl5L0uGdjwQ0100t2aLV0CBH6bTSfmiJdT+6te41q3H8eFHVNx1D3X/ejboubV/eNxfIUPXMRsbqfvLX1ucq/a3vw1Q1zAdDmp+/ajIc+0iFNWKPSahU5xkAGd1Rcix6kpP+f5/y9M/oSrvMLrbicdRj+Fxk7f+Q3JW/c/vmlPbPqUwew26y4Gp6+guB5qzkdW/vo+377uCNY/eR0XugU6xXSC4VKj5f49Q+fVv4PzkE1xr1lD90I+ovP/BoOvo7v88fnb359xnutvJzhd/2+I8xz57HY+jweckg1eJ4+TGD2msKOmUexH4I0sysbbYTnOSAcoby4Me1wwNx1m5uuUnlrG+aD0ew0Oj1ohLd5FTc5y/7f7LBWOV8fz+53AbbjyGB83Q8BhuXjr4Arcvu4Vvrf46m4o2dprtPYFwlAV+NL77HtqJE+ccWNPEdDio/cPjGNXVfudq+fneIsAL0XVcW1rufus5eCjocaOykor77qd42HBOjxtPzWN/wHS1rNog6H7CE5KD1wlKEvFDRgPgbqildP8WDN2/Sl53OTi64hW/YyfWvutrreuHaeBprKf0wFZW/+peKvOC/+4IBJcbnuPHaXjzf351IGZjI64tm3Ft3BRwflWIfzuNFafRWpCQLD+cHXT3SFGtFP7+FxSPHkvx8JFUfuvb6KWlbbwTQXeRGpMa9Hi4JZxwSwQAy3I/DNBw1gyN7NIdOLRza/TW01uDanOYmDg0BwV1Bfxl1xOsyPu4s8zvdoSjLPDD8fEK/8K7s0hWC64d/tuqcp8+mCGk3ZQBLXdtUpKTg3+gabhWrcZsaMSoqKT+uX9T8ZWvtmy8APCmL3ga672dELsYxWJl9NKvB5WlG3vbtwG8rbZDFIh4Gs91Byw5sJXyo7tbnFN3udj/5t86YLVAcOng2rgJgkSOzYZGXGvXBhy3RccHHUex2FssCIzql4oUZAdJb2yAFasxq6sx6+txfPgRZQuvx2hoaOVdCByaA83QumWuL4y6L6gs3RdH3ecr5gvWCMWL5NN3Lq4v5pOTK/AYzes9u3QX/zn0StAuhBcDwlEW+CEnJgSPEhsmcox/IwolPt6rxXxB+2kpLIyob32zxbkiv/89rzTd+VgsXm3n8xd+pxP3xk14jh1r9X1cruSsfov3vnIl7zw4jXcemMqhD/7d5WksoxY9yBUP/oKolDQsYZEkjZnKtb/8D3GDhwMQFtcXe3SgqomkqKRMnA1A2aEdrP/D19GcrXmwmlTmHezMWxAILlrk6GgkNYj6gdWKFBf4727U4i8HfbEduuDuFgvyhi+8F9ninwIgyyoRDQYR1edFH3Udo66Oxvfeb/V9XK4cqjjIN1Z9jbuW387ty27hr7uexKm13ByqI4xKGMWvpv+GUfGjCFfDGRw9mO9P+gFzU891dpyYNAk5iIuYGJZAtDWaGlcND637PoV1pwLOCYZbd1Hnruu0e+hOhKMs8CPy3nuR7P6OL5KEFBONNSswzz3ur3/BPvda76IcHo4UHU3Mr3+FfdasFueKWLKY6Id/ihQdDXY7UlgYyoABQbsFmpKEe+++dt/X5cDJjcvY9fLvcNVVYeoansY6DrzzNEeWvdhpcxi6RkXOPipyD/hFrNNmLeKGJz/mlpd2MOdnL/rSLgAkSWLy137j1X49G42SLTaskTGMvdUbdd735l9b1TmwibDYPp10RwLBxY19foi21bJM+NIlAYczrr2dkTc9gGILQ7WHo1hsDLn6Zsbd/p0W54pOSWP2j/5JRN8ByBYrsmqhT58hjMkJsnvV2Ih7a8speJczhXWF/GLzzyisP4Vu6ngMD+sL1/HY9t912hymaVJQW8ChikO4znPARyWM4rFZf+SNG97i73OeYXrKDL/r7h35RSKtkVhk7y6DIinYFBvfnvBdJEliRd5yXLq7xaYoPjswiTib1nGxIVQvBAHUv/gSNb/5LZLFAoaBHBNDwuuvYskI3SbTqK7GqKxCGTjAe10bMDUNo6ICOTaWur/9nbpn/gHuIFs5NhsxD/+UyAcfaOstXRZ89J351JcWBBy3RkSz9PmtHdbGLj2wjY1/+R6GxwOYqPYIZv3wKRIyxrXq+tqiExxd8R/qTueTNHoyGXNvxxbljXi988BU3PU1Qa6SkC0WDI//74OsWpj5w6dJmTCzQ/fUVQjVC0F34tqxg4ov3Q+a5t0RNAzi/v5XwubPD3mN5nbSeOY0YXF9sYS1zYExTRNnTQWqLQxj114q7rsfM1iahaoQtmQJcX98vM3PhcuBp/f8nc9OrsTA/0XDKlv5+zXP0K+DEmtljWU8uuWXlDSWoEgKhmnw5XFfZe7gEC9XF1DjquHjvOUcqjhI/8gB3Jh+k6/t9qNbf8WOku0B1yiSgoSEZvqnkcjI3Dr89gD5ud6CkIcTtBmjrg53djZSVDTWiZldrpFpmiZGZSVGXR3l8xdi1tcHPU8KCyP+uX9hv1poLV/Im/dMCFpogyRz2392o1ja35DAWVPBh9+eG1BoZwmLZNE/P8di9z5oK3IPUHniABF9+pM8bnqr1TU+ffg2KnP3BxxXbGHEpY7gTJDcZVtUHIuf3dBpCh6diXCUBd2N6fHg3pGNqXmwTZ6MZLd3+ZxGbS2mrnNm6c1oJ/K8jvqF2O1E3n8fMf/v4S6352Ljx+t/yOHKwOLKcDWCn0z+KRP6ZrZ7bNM0+cbqr3G6vtjPEbcpNn4z43cMjx8BeJ3p3WW7CFPDuCJ5MmFqWKgh/fjvof/wXs47eAz/OiWbYmP2gKtZmf9JwDUW2cLT1/yjV2osN7dmt7+ti+CSRo6K6jZn1LlhI9U//BF6aQmYYJs+Db2kFO3o0YBzTYeDun8+e8k7yqZp4qgsRbWFtbrZRnRKGtX5RwKOh8UmIqsdi+bkb1oOQYoDTdOgcNtnDJp+Hesf/wblR3d588slGUmWsUXGoIZFMHTenaRfc2tIp3bc7d9lw5++FdA5cORND1C4fVXQa3SPi5qCY8SljuzQvQkElwKSxYJt+rSWT+wEtPx8qr77Pdy794AkoY4YjnXaNNwbNgSe7HTS8NLL3jS7Tur42lupcdWgmzrx9uAFkxcyIn4Ex6uOBURfPYabgVGDOmRLbk0OFY4zAdFqt+5m2YmPGB4/gtcO/5d3jr+NLMneKLChkRCWiCxJzEi5kqVDbwnQTG5iYdp1fHTiQz9H2SJbyIgdSrQ1KoRVEtml2dww5MYO3Vt3I3KUBT2K5+hRKu+7H/3UKXB7wOPBtWUrUpgdKSL4dqBRemnrdZYc2MqH37qGZd9dwHtfncna3z6Is7ayxesm3PMQitU/iqRY7Uy4+6EOP6CctZXoQaLVhseDq66aQx/+m/Ij2eguB7rbie5qRHPU01BeRE3BMXb/53G2Pv2TkOP3Gz+Dad96nIg+/QEJa0Q0Y27+OmNu/gaqLXiEwzSMgPsVCARdS5PWvnvnLm8E2eNBO3AQ7eBBbzF2sGscjqC1J5cKpQ2l/HDdD7jv0y/w5ZX3841VXyO3OqfF625KX4RNtSGdp7FpU2zMGnAVCWEJHbKpzl0XtB21iUmVs4qDZw7wXs67eAwPLt2FU3eimRqljSWcbjjNB7nv89C67wdIxDWREJbAYzMfZ0TcCCQkLLKF2QOu4ufTfolVsaFIgUERRZKxyp3Tar07EY6yoEep/9dzmBfmI7vdePbuC57zZrFgu+qqbrGtJ6gryWf949+g8cxpdI8LQ/NQenAba3/zQIvqFf3GzWDWj54hbshoVFsYMQMymP6dP5I6s+Nv70mjp6DawwOOS4pC31FXcGLNO2c7fQVHdzko3PYZtcV5Ic8ZOGUuNz21ittf3cvS57cyatGXkSSJjHl3BFTpA8gWK9nPP8qBd/6Bq66qfTcmEAjahOPTT70SoufvMJkmRk1NSGdYHTYsuDLHJYBmaPxkww+9kWFDw2N4KKw/xcMbf0Ktu7bZaxPCEvnz7CeZfDblIcGewB3D7+Jbmd/usF1DY4cGpEUA2GQbVyRPZlX+Sp/MWzA8hodKZyXrC9eFPCctJo3HZ/+Zd2/6gLdvfI/vTPweYWoYswdeFdRRdhsePj+1hn/u/QdF9UXtu7Ee4NL8zb3M0SsrqXvqaZyfrkSOiSHyyw8QtnixL6po1NXR8Ob/cG/ZijokjYgv3Ntiu+mOYpomngMHMM6cwTJ+Akq8t4hLy80JvrgGcwotFuToaKK+/rUutbUnqCspYOeLv+H0no1wQRWxqWvUleRTlXfIT00iGMljp7Hg9293un1JY6aSOCyT8qO7fHnKii2M/hOvIn7IaAwtuJ72+UiKQsXxvUSnpDV73oVpIqlX3kj5oR3kbfgISZa9+exuJx5HA6UHtlB+dBfHPn2VBY+9Q3h8UvtvUiDoIUyPh/pXXqHx1ddB1wm7eSlRX37QJ59pahrOFZ/gWLYcKSqSiLvuwjqx/fmrrUXLz0fLPYGaPgR18GAA9IJTmM4gCjXB1nFZRrLZiP3db7rY0u7HoTl48cDzrC5YFdQh1Q2dtQVrWJSxuNlxUiL78/+m/rzT7Yu0RnHniLt58+jrvqiwVbYSH5bAvNT5/H33X1tUrHDqTvaV722x+E+5IKWuX0Q/vjr+6/xr7z9QZMVb/Kk7kZE4UHGAw5WHWV3wGT+b+gvG9RnfsRvtBoSjfIlh1NRQNm8Bxpkz4PGgA9U/+jGeAweJ+dkj6OXllC24DrOmxrsdZrHQ8NLLJPz3FWxTprQ4vul2U/vnJ2j476uYDge2adOI+fWvsKQPCXmNVlRMxV13oxcXg6Jgut1EfftbRH//e1inTMG9b39wlYvzkWXCv/gFor/5DZS+fdv4U2k7RmMjdX/9G41vvQ2mSdiim4j+wf8hR4XKvWo/rvpqVv6/23E31HKhk9yEJCs0nClu0VHuKiRJYvaP/0He+g/IW/cekqyQPudWBs+4HoCBU+eTs+pNzGYcZt3j9pOUM02T03s2kLv2HUxdI/XKGxkwZW5AHrMkSUz+6qOMXPQgZUd2sffVP+NyO+FsG13D48Jdp7H/f39jytdabsMrEPQmTNOk4r4HcG/d6uuIWvfXv+H8dCV9PnwfgIp7v4A7e6c3kivLON7/gKgfPkTUV7/Sqjka3vwfdU8+iV5SipqRQczPH2lWwtN0uaj8+jdxfv45ktWK6XZjnz2b+H8+g2XcWCS7PfiO3/lIErbZs4h5+GEso7q+jsA0TRpef4P6f/4Ts7IK6/RpxPz0J6hpzb+Yt3euX2z+GbnVOUGdZAC34aaksWfTBG8Zdivpsel8lPshNa4apqVM57q06wlTw5g1YDbZJTtw6qFlOSWkgCdSXs0Jlp9YRrmjnEl9J3Ht4HmEWwJ3G+cOnsfUftPYVbaTT/JWcLjikC8XWzd1dF3n77v/yrNzn+/1uetC9eISo+7pZ6h94km48I3fZiN52xZq//wEja+/EVCdrAwaRNLmjb5fWNM0ca1ZS8Nrr2E6HIQtXkz4ksVUfvXrONetOze+JCFFRZG0bm1IB7Z03gK0I0f8Ig5SeDjx/3gGy9gxlF59DWZdXdBiMd/5YWH0Xbu6yyPf4L338htvwnPoMDS1zrZaUdNS6bvy007fQjy87EX2v/m3ZnWEZYuVG/6ygojElE6du7Nw1Vez8uHbcVafQXOF6ugEstXONT9/icSh48l+4VFOfP6eL0Kt2sJIHjeDK3/wt5ALp6OqjA+/PTdALg7AHpPIkmeDFBP1AEL1QtBa3Dt3ceaOOwM6okoREcQ99XfweKj63vcDO6babCTv2IaScC6X1XPwEPXPv4BWUIBt5pVEfuFeGt97n9rf/d7nhANIdjsJL7+E7Up/7dwmqn/9KA0vv+L/HLHbifjCvcT87BHKr7sez7Hj59bHIEgR4cT+7neE33JzG34a7afmt7+j/sWXoOk+ZRkpIoK+qz9D7d9yp9i2cLzqGA9v/CmuZpxMu2LnW5nfYdaA2Z06d2dhmAaPbf89e8p2NessW2Ur9425n+uH3MjGog38ZdeTaIYHwzSwyTbi7HE8cdVfQxb9Adz78V3UuAPlPy2yhX/Pe5E4e2BjnO6muTVb5ChfYrjWrw90kgHJasWzbz/OlSuDSvjopaUYpaW+72t+/SiVX/s6zk8+xbVuPTX/7xHKl96C8/PP/cc3TUynk4aXXw5qjyf3BPqJ3IBtObOxkfp/P4+SlETfTz4m7MYbkOPiArr8nZvGRE7oWHFDa3Ft3IR24UPA7UYvLMK5KrgCQ0eoOnGwWSdZsYWROuOGXuskA9giY7nuTx+S9cDPSL/mNtKvvR1JCXyhMNxOdr7wG2oKczmx9h0/uTnN5aBk3ybKDu0IOY9iCwuelgOobdSCFQh6A+6dOzGDrMlmQwPuHTtwfPxxoJOMV+XCtWmz73vHp59SvmgxjW+/jXvLFur+9ndK51xLzR//5Ockg7cgr+axP4S0qfHV1wKfI04nja++hiTLJL7zNhH334fcty+Eh0NQ+VAJZeCA5m++kzCqq6l//oVzTjKAYWA6ndQ/849On6+groDmYqAW2UJiWCLTUqZ3+tydhSzJ/HTyw/x0yiNcn3YD16VeT4w1UGHJbbh56eCL1LvreXrP33HrLgzTG9RyGS4qnBV8mPt+s3MFiziD97l+YSvt3ohwlC8xlAEDvS2gL0TXkZOSkMKC/8JiGL58OK2ggIaXX/FbnM3GRjwHDwZfEN1u6p79N3XP/RvT478NZdbWQBCHCcCo8io5qIMGEf/M0/Q7sI+EF/4d2NbabifitluRw0PY3sl49u/HDBIpMRsauqQ7YGzqyJDqDeGJKUy4+yEmf/XRTp+3s1GsNtJmL2byV37F5C//EtMIXthTmXeQ/9/eWYdHcXVx+L0z6/GQQHB3LdZSKkCR0hYKdYdSt6/uRt3dnbbUS4U61kLRFijubglxXZ+53x8bQpadTQIkhMC8z8PTZmbunTM7ydkzd875nYzlcw3j3aDPw64ls6Kew+aKI61bfxQ1PI9ZtTtpP/zSg7LfxKQ2UBrUN27G4XCgNmqEiIuLEoiCUqoMJDWN/DvuCleX8HrR8/IgiiZ9YMkS8h95FC0nJ2KfUWAOIfUKKSVKTAyJD9xPw/8WkTZ7VqTPtlhQGzfC1rdvlKuuXgIbNiJsBmoKpdrS1U2T2OgPADGWGM5oNYLnTn4Rq3J4N1kRQnBM/WO4pvt1XNvjelKcxh1PVaHyT8b8sgC5PAE9wLz0eRWe54xWIyICYouw0LNBr6hB9OGEGSgfYcReMS7S6VosqC1bYu3ciZixY8DAqdmPOw4lIfQ06ZszF2EUbPt80XOJ3W6KnnmWnLHjwtQZpKYbO127Hcfw4RGbHQMGkPDsMygpKWC3IxwOYi66kIRHH6nwuqsTtUkThNHKtsuFpdnBaVsa0XrgWaFmIOXSDRSLlXptuzPy9Wm0G3bRQTV8cedmsnPxX+RvW1cd5lYZq8s4n9vqiMHmikMx+B1TLFbsMfEVznvcDU+R1LIjqt2J1RmLYrXRvP/ptB16YbXYbWJyKHEOHYqwh//9AwiLBeeZZxJz0YXG/khVsZ94AgDBLVuNC+wCgahvYJCSko8mkDlseEixohQtOxuRYKzdbuvdOyItSm3QgJRvvsLSvl1IHs5qxX7iCaR88/Uhyz21NGoUqZ4EIARqyxbVfr52Se1pFt8cS7lAWCCItcby7tAPuLzLFQfVrtkT9LB49yJW5axEk4dOVi9aCkRQBqnnSEGLsvgRa42edgFweqsRnNT4JKyKFZfFhV210zqxNbf0vPWgbT4UmMV8RxjWTh1JevN18u+4E+n1ITUNW4/uJL/zNkIIYsddTmDpUjy//YawWEFK1CZNSHr91bI5lIQE4xUMiwWlYRp6ZpZhbpr0ePD/s4DA4v+w9epJcPt2ci68MDL3WFFQ0xoQe/lYw2uIOWs0rlFnouflocTGGn9J1CDOYUMpeHh8aHVmj+1CIGw2nCOrXyjdHpfEkMe/ZOEHj5K56h+EaqXFCWfQc8zBCfRLXWfhh4+y6a/vUa02dE0joUkbBtz7Tlnr6IOlYMdGtsyeTNDnpUnvU6jfqU+Zze2GXcSanyeENxGxOWgz9AKa9BnMwg8jV8mFotL8hIo/Y3tsIkOf+Iq8rWtxZ+8iqUVHXPXSquV6TEwONcLpJGXSt+RefS3B7dsRQqCkpJD81huoyUmoyUnE33cvBY8/sXcRxGIhZeInZauoSnwcUjPoigcoDRqEAuF90i8ACATQ8/Io+XQicTfegAwGyRpxJjI/P/JYl4vEx43fbNm6d6fBjOmhFWybrWyl+1ChNmqI/cQT8f39d/h3k8NO3A3XV/v5hBA8evzjvL/8XWbumImmB+ma2o3rul9PXNRmG1Vj+rZpvL30TVShIpE4VAcP93uEVomtq8X2Al8BM7ZNZ7c7g071OtOv0fFlK99nthnF8uxlYdrJilBpHteC7vV70DSuGZsLN4WtLNtVByNajazwnIpQuKnnLVzQ4WI2F2yivqsBLRJaVMv1HArMYr4jDC0jA9/ceaWrn01Rk5NR0yKDiODmzfiXLcfSpAnWnseEBWTS6yW9Z29kwT7J9w4HqT9PpuTDCbi/+spYDshmI+Hee4i9+iry7ro7lOtmgNKiBSlffo71EBTnHQjBbdvI+9/N+JcsBcDasSNJr72CtU2bGj2vlLLaVmHWT/2K/z59JiwPWFGtNOh6HAPuffeg598w7WsWf/wkuqYhNQ3V7qBp38Ecd8MzCCHQtSD/vPMgW+f+imq1owV8NDvuVI699nEUi5XMVf8y6/kbkboWqq6WOsfd8DRN+w45aNtqG7OYz6Sq6CUl+P6aiQwGsLRujRITg9qiRYQf0PPy8M2dh4hxYe/fP+LNYda55+H/59+wGhThcpLw9NPo2VkUvfgyMkoahv3EE0j58gs8v/9B7lVXGxdWu1wkv/cuzgGHaXGa203+Pffi+flnQKAmJ5P49FM4Bp9S4+euLr+9pWALd8y6NULfON4Wz4RTP8WiHNza5vq8dTww5z40XcOv+3GoDlJd9XnupBfKUiB+2fQTE1Z+hCpUgjJI87gWPHDcgyQ5ksn2ZPPgnPvJ8WSjCIWAHuDM1qO4tNOYw165ojIq8tlmoHwEUfjiSxS9/kZIlUEIUFVSvvgMW/dwnUJtVzrBbVuxtG6Nmmqck+RfupScMWORHi8IQJckvvA8rhFnAFD0wYcUPvFkxMqyiIkh8blncZ05kvQ+x6Lv2hXdYIeDRiuWRea3HUboBQUgJUpiYm2bst/8ctvpFO7cFLFdsVgZ/c7fVW6NbYSvMI8frh+Ivk+3PtXu5MQ7XqNht73V9J78bIozthGb1hRnYvjvmx4MkLl6IVLTSO3UG8sR0mnPDJRNqoL3zz/Jvfra0jd4EhkIkvjk48RccEHYcXphIYHVq1FT62NpZSx3puXkkHPJZQTXrweLBen3E3v5WOIfuB8hBL7lK8gePRo8+6RoqCqu888j6blnybvzLtyffxHdYCFI/fUXbN26HuSV1xy6x4MsLkZJSalzwds7S9/mt82/RLSddlqc3NXnHno1OHCXIqXk2mlXkV6SHrbdqlg5s/UoLus8tmybN+hlc8EmEuwJNIptHDHPhvz15HnzaJfcnkR74gHbdDhRkc82Uy+OEHzz5oWqe32+sEK0nEsuI+2/RQiLBen1knvT//BOn1Gmjek6+ywSn34qIifZ1r07aYsW4l+8GOn1Ye/dKyygjTlrNEXPPhde9CYEwm7HOSwkTl6Rpi4AXi/FEz4OayASWL2awLp1WFq3wdaldjSDy6NEydU73PDkZbJz4Z8ANO49EGdSfQJu49UjIRQCXvdBBcrpy+agqJaIQFnzedg27/ewQNmZmIIzMcVwHsViJa1rvwO2w8SkrqIXFJB71TURihT59z+Ive+xZQFx4SuvUvTqqwirDRkIYOvSheSPPixr2rQHtV496v/2C4HVq9F278bapQtqyt6/O1uXzlhatiK4bl34qrPNRuy4ywGM85zLIyX5Dz5I/R9/KNukZWTg++df1ORkbP2OM65vOYQoTmdkHc5hiDfoZUH6fIr8hXRJ6UaLhBYUBQojgmQAJBQHjP15Vcn2ZJPjiSzcDOgB/t45KyxQdlgcdKzXyXAeIQRtk9odlC11DTNQPkIo+exzQycn/X78C/7B3v94Ch59HO/0GWHBtPv7H7A0a0bcTTdGjBWqir1PH8PzKUlJpHz1BbnX3YCelYmUpeoV772DcIRWBW3du+ObWrGcmm/+fOKuuxbp8ZAzdhz+RYtCqh2ahrVrF+pN/PSQ57vVNTbO+JZFHz4OIpRXvvjjp+h5+f00POYkNv31fVljjj3Y4pIicnp1LcjGGZPY/Nd3SClpNWA0rQedE9Elbw+KxYqRPpIQSqgwcT/RdY2C7Ruw2OzENWyx3+NNTOoanj+mRBTwARAM4v7+e+Jvvw3Pb79R/Prr4PUhvSGf7V+6lNxrriX1m68M57V27Ii1Y2SDDyEEKZ9PJPfa6/D/twShqgink8Tnnys73nZ8PzzffV+h3cF164HQymLhk09R/MGHZWkgIjaWlK++xNqmevJpj1TW563noTn3o6MT1IMoQqF/oxPom3YsC9Lnh+UIQ6iYrmtKt4h5Fu1eyA8bvqfAV0CvBr0Z3WY08XbjBRCLokbtxHegKR27infh07w0i29u2LL6SMEMlI8QZEmJYXWzBNw//4L7999xf/55qAq6PB4PxR9+aBgoV4atRw8azJ2NtnUrWCxYmoRL5sTfegtZlQTKe3J+C556Gt+//4alcvj/W0LuDTdR7+03y4Jvk3BKsnex6MPH0fZZ2V304ePE1G8cESSrNgfHXvt4eE66lMx67gZ2r/wHvbTwrmD7enb8O50B971n+PqyYY8TDPMYFauNlieN2q9rSF86h3mv34Xm9yJ1nZj6jTnpjtfNgNnkiCYktWawehgMElixgvyHx+P5/Q+ke58ivEAA/6JFaLt3ozbYv5btamoqqZO+DenmFxVjadkibAXYNXIkBXffa1x/smeO0poX79SplEz4OGzhRRYXk33+BdSfOiVixdskhC51nljwKCXB8M6Gs3fOJqMkIyI/2abaObvN2SQ7ksO2/7D+eyau/gS/Hjp+R+F2/to+g1cGvU68LVI5KMmRTPP45mzM3xgWMNsVO0NbnLpf15Beks6T8x8jw52BIhSsipVbe91+UKkhhzOmPNwRgnPkCISRznBxMe6vvsL94UeRQXIpemHRAZ9XCIGlRYuIIBlCK8rW446rcHzcrbcA4P7660gljUAA39SppHfrQcmkSQds45HM9gVTDFcJdC1AUcbW8I1CocWJI2jYPbwbV/baxWQsm1cWJANofi9ZaxdFbf5hdcRwwm2votqdYY1FrM5Ygr7I6nopJTsW/cn0Ry9n2vjL2DLnV6SUFGfu5O8XbsJXmEvQ60bzeyncuYnpj4whb+tats3/45DL2pmYHAocAweAbrDCJwTembMoef8D9B07DMcKiwXdSJmiiqgNGmBt0zoiTUKJiSH+rjsqHBt/790AlEz4xFD6U8/IIKNXb/IfejisZb1JiI35G/EEI32kX/exOndVhD9v4GzA+R3CpS/dATefrJ5QFiQDBAmS78vn542To577rj73kOxIDtN31tGxqTaM6tW2FmzhyQWPc9fM2/lyzecEtACa1Lh/9j1sK9qGT/PhCXoo9Bfy9D9PsiZ3DXN3zWFF9nJDzeW6ihkoHyE4R4wIqVfsCZZVde9rvQrajEJIWkfLzUPbvZv8Bx9m94CBZJ1/QagL30GS9OzT0Xc6HCixIf3FPa8VjZAlJRTcfS/+ZdXf7KMuoGtBijN3EvCWRO4LBo2/bKWMXPGVOhunf8Ovd4wMCz63zPkVqUU+RGk+L+lLZ0e1K6FpG4SqhslSeQuymfn0NWSvW1LOFMlfT13N389eT+bK+WSt/pd5r97OH/edw4bp30R2JZMST342U+47lwVv38+U+89n+iNjCHqjt8Y2MalrWJo1I+6G60O1H3vkOC2lD52V+GwZCICiIL1eit5+h91DhpJ56mkUfzrRsMvf/hB77bVRO6RitWJpFUqr0IsrWGDx+3F//kWoW95RiJSSbE82hb7Its2ajH5/jBY9thdv47LfLmHuzjll29bmriGoG3TYlRqzd/wddf56zhSS7MkE9L3+PqAH+Gj5B/y44YewY3/Y8D03/XkD89PnsSZvDZ+v+YxLfr2Qf9IXUBIoibDVr/m55+87eXXxyzw2/xGunDKOXcUVFPPXIcxA+QhBWCykfP4ZSa++jPPcc3CNucw4/80AbecuMvodz+6Bp1Dy6acE12/AP3sOuVdeTfGHHx2UXZbmzaOqWpRPp7Cf0D9q9ykA6fMdtC2HC578LFZP/oBFE55kx8IZ6PukR/jdReRsWI4nP5sN077mu6v68+sdI/juyuNZ8PYDaIG9qwhN+pyy381ICravZ9r4S8uK/fK3rI567PYFU6Lum/PK7QQNCgY1v5fl37xW9nPG8nlkGATceZtWkbVqAbpBkI7U0YMBgp4SNL+X7PVLWPxJ9Ja7JiZ1kfjbbyPlqy9xXXIxrgvOD6U1VEWJStPIHDac3YOHUvjc8wRXrSawfDkFjzxK7jXXVj6+AoTFgrVHd+OdwSBKvVAKgHPECKggJU56PJS89/5B2XK44A16mbp1Cu8ue4c/tvwesSIc1INszN/AruJdrMpZxdVTr+TaqVcx9o/LuPfvu8nxZJcd2yax7X7n8xb6C3hp8QuszV0DwJbCLVGP3VWyK2pjkO/WT2JjwYaI7X7dz1drvygbVxIo4aMVH0Qc59E8fLHGWPJVItGljjvoxhP0kOPJ5rH54w1XqusaZo7yEYRQVZzDh+McPpziTycaa2Ea4fOF8sz22Sw9HgqfepqYCy+oUMLNv3w5BY89QWDpEpR6KcTeeD0xF16IEAJhsWDp1o3AggUR42RREf7ly/H+NRO1YcPQKoaRKD6ArqOnZ0S1Ibh9O+5J3yELC3EMGYztuOMOS2mg3Sv/YdYz16LrOnrAx6Y/J5HYrB2DHpyAYrWx9IuXWPvLxwhFQdeCoRzGcvdx88wfcOfsZsB97yKEIL5RSzqNuppVP76HFgwF0IqioleiOKIHA2yd+yttBp8XtWAPoDhzB/7iggiFDF9xPjkboq/w529bX/b/636fGPU4d+5uLHYXQV/Fq8V6wM+WWT/S56rxh+V9NTE5UGy9emLr1RPfvwtxV1JIV4amgaahbd4cvt3jwTdzFv5ly7B1iyz+KhuemUnBk0/h/WMKwmrFdcH5xN96S5mfdw4/lcCCfyIHqiq+2XOQeXlo27ajJCeF/HKUYKii9BC9oAD3d98T3LIFW89jcA4fbtyGupbJ8WRz21+34gm68WpeHKqDias/5YWTX6K+qz5zds7m1f9eQdOD6Eg0PRi22royZwW3/HUz7w35AIfFgUWxcGefu3lywePoUiegB7Ardvy6P2qxHYRWbL9bP4l7j70fpRIfuCTrP8N84Slbfo96Dr/upzhQTII9gYUZ/0Y9bnvRNhRR+eKMRJLjyWFr4dY61VzECDNQPgLx/PIrhY88Wj2TCYF//XrsBk5Xer0UvvIqxa+/URbMacUlFD40Hn13JvGl+cdG6ggAWK1kjTgztPIdrTX2HhwO7EMGG+5y/ziZvNtuD315BIOUfDoR+ymDSH7zjYNq/Vzd6LrG3FduC8vhDXrd5G1Zw4ZpX6EFA6ye/H6FK0pS18hYNptJV/TD4nBRv2Nvup57A437nML2+b+j6zqbpn+DryivQls0n4eS7NBrsca9B5G5yuBLkZC6hb+kMCJQ1oNBot9YSGjcau8canQ3Y4tNxOaKpyhjC5q/4tfNWtAf+mzMQNnkCCO4dSs5F11cuR+sAlLT8M1fYBgoSynx/PwzeTffWpbeIYHi9z/Av/g/Ur75KvQgqmmhv7N9fVEwSN7Nt4RSrtxu42P2IAS2vn0NdwXWriVr1FkQCCA9HtwxMRQ9/yKpP/142GnWv7vsHQp8+WWybV7Ni1/389bSN7ikw6U8t/CZSvNxC3z5XPzrBcTb4mkc24QLOlzI24Pf46/tf1LgL2Bd7hpW50Z/swehwDOjVAO5S0pXFBRDKTlVUSkwSPkACBika5SNE5ayVtQVqWAoKJzSbDB/bp9RTp1DgEFgrQgFd7Dup8wdPlGESbVR+MILEdqcB4osKSH73PNJ792Xnc1bsqt9R/LGP4Lu8ZB19jkUv/FGxMq19HgofvNN9FIbLE2bGadVeL2hAsPKvhwsFtS0NGIuvCBil15cTP7tt++dS0qk241v+gy8U6ce8HXXBAXb1hsWuml+L5tn/cjyr1+r2mtXIFBSgCcnnW1zf+H3e87BYnfQ7fybad5veIQChhEWh4t6bUJfpK0HnYPFYSzBZ7U7caU2itjuTEzBmVzfcIxQVLqcu1dFpcPIcVHt6DjicoY89jmdz76exGbtqNe2OwlN2xoGw6kdeh1WDz4mJtVF8YcfIashSAbA76fwiSdJ73c8O1u0YmerNmRfOgYtP5+C8Y+Q979bInOgfT4CS5cSWLIEALV+A+PicCFCbx/3FPFVECSLGBcJD95vuDvvf7cgCwvLvqdkSQnBHdspfOGlA7jgmmXh7n8jAlJd6vyXuZg3lrxW5aK1gB4gx5vDsuylPDLvYdbmruHsducwrssVrM9fX+FqMoAqVDqndAGgdWIb2iQZd4mVUtIpigZynzRjuVeAc9qdi6qEUkJ6p/WJumrcO60313W/gRt7/I8OSR1oHt+CnvV7YlMi3wZIJG0T21Z4XXUB81vnCETblV75QfuiKNFzhIuL0dPTIRhEFhfjfu99MvqfGNLT1KI4CaGg7dwJQOyVV8C+r9QqOp8Bye+/a6in7Js7FwxWLKXbjef7H6o8/6FAsVgqzNfat3lHVZC6juZzs/ybNwAQilJpTphitRHboCmNep6MrygPXQsw5LHPUKzhBTyqzUGvKx5EUSLz6aRRsWApLQeeRf2Oe1/7pbbtQcsBZ0UcV7/zsTTvfwYWh4vOo65m+HM/MvTxLznhtlewOmPL7FGsNqzOWPpc8VDFH4aJSR0luH5DWBOQg58wiL5te2jxwOfDN2MGGcf0ouSTT6MuTEgpCawKrWo6hp8KVoOUrP3IN014+GGs7dtHbNfz8gisXRs5wB/A89NPVZ7/UBEtYFRQKswVrgif5uO95e+W+erK0skEAofFyVltz8ET9JDnzeWx/k+S6kxFlHuzZ1PsDGk+lLSYhobzRMtdbuhqyLntziv72a7auaXnbRHHxdviubnnbQghOLnpAJ49+QVeG/QG9/S9j4axjbCrpT4bBZtq5/ruN2JVo6f21RXM1IsjEGvHDvj/MZb1iobasgWuCy+k6LnnK624BpC7d1e8PxhErR9acbR16UzSq6+Qf/c94PchgxqWli3Qtu8I6T9XejJJycefYHv6qYhdwmKN+ireO2cO3r/+wjFgQOXnOATEN26NI6EeJZnhkk+q3UnTY4eSv3XNAckpSV0na02odXBC07Y44pMpydoZdoxQLVhdcVjsDlqcMILGvQfx+z3nULgjVNiR1KIjgx78kE1/fceuxTNRbXbanHIeTfsOMTxnUfqWqOkd+ZtXRWw77ronaDf8EtZM/gA9GKTNsAtJ63ys4fj4Ri054+XfWD/tK3I3riCpRUfaDjkfZ5LxCraJSV3H1rcPvvnzq+R7y4iJIXH8QxQ+8xx6dnblx/v9ITWkKAhFwdK8ORDqbpc66Rtyr742tOAhBKJePfSMjKoF9FJS/NbbxFx0YeS+CmzQc3MpnvAxMZddeti8PTqx8Un8tf1PguXUKizCwvGNjmfurrkHPG++Lx930E2MNYb+jU7g7x2zws4hEDgtTuyqg26p3RjV5izeWfomC3cvRCBItCdxbffr2FK4hT+2/EZQ1+jVoBeXdRob9Zzz0o3tzfRkIpFhQfeApgPpUf8YvlzzOTmeHPo2PJZTmg02fHBwWBw8f/KLzNz+F//u/odkRzKntjiNlgnG7dbrGuJwrUjs3bu3XLhwYW2bUSfx/buQnAsv2r/0CyGwdOxIcOdOKDDOb6oyFguu888j6dlwlQIZDBLctAklPh4lKYn07scgi6qm4Wzp2JEG0yIVGKTXG5qnOEq7ZqeTxOeexTV61H5fRk2Qv20d0x8Zgx4MoGtBhBA07j2I4254mu+vOoGAu/CA5k1pdwxDHgtVI+duXsWMxy5HakH0QABhsdCwe3/6XvUIedvWs+anD0hfEikhZHHEIHUNKXX0gB+Lw0VCkzYMevhjLLbw6vaC7euZcv8FhkV4ic3aMfy5Hw/oOmoKPRggY/lc/MWF1O/UJ6IzYXUjhFgkpTwy1fejYPrsA0fLzSXz5IHoBQUVNvsIQwiU+qmItDS0pQcvnWlp04b6f04PC1CllGjbtoGmo7ZsQfa55+P/558q29hoxzbD1dKss8/B/+9Cw3mE04lz1CiSnn/2wC+mGin2F3Pf7LvJKMlAkxqqopLqTOWpE5/lpYUvsCjzwH7n7aqdL0//BlVRKfIXcc/fd5Ltycav+bGpNpLsSTze/ynyvLnM2D6dXzb/HDGHikqMLQa/5serebGrduyqnedPfom0mEgfd+5PZ0V0/YPQCvCkM384rLrrSSlZm7eG9OJ0WiS0oGVCq8oHHQQV+ewaDZSFEE2Bl4AhhLK9pwG3SCm3VTbWdLoHh+/fhRQ+9RSBVatDQeShfCCy2ag/5XesbSvOTfLNmUvO2MuBUAEKUhq/FhQCx2nDqffuO8bzzJ5DzuXjQi28jbrFpaaS9t+iw0YtQfP72LnoT7wFOaR26EVSiw4A7Ph3OnNeuQ19j/ybULDHJdLnyvHMf/MeEALN50UadNvrf+tLNO45oGxb0Otmx7/T8RbkUK9dDzbP/J5Nf/0Q0jzeDyF41eag6/k30/GMsWHbpa7z4/UD8eRlRh5/3k10HBE9L7m6ydm4glXfv0Phrs3Ua9ONzqOvDuvql7dlDX8+Pq60GDDUjKXD6WPpfuGtNWZTXQ2UTZ9dewR37qTwqafx/vknsrgkFEQeKr+tKCS++Dwx555bqY1Zo84K5Rf7/QiLJbrfTalHw6VLKpxHz8429vl2Ow3+noWlcWR9RG2gS53l2cvYXriNxnFN6Z7aHUUo7CrexW1/3Yw36C3LY7YqVm7vdRcfrHiP4kARAS0QtlIMoSD51BbDuaLrVWXbNKmxJPM/thVuo0lcE7LdWUxY9RF+zY8mq/jwRCjo7V6/B48c/1jEvmf/fZq5u+ail5tPQaFrajce6//E/n4sB0yWO4tJ679hefZyUp2pnNPuXLqkdC3bX+Qv4sE595XqMAskOh2SO/LgcQ9jU2tGGaVWAmUhhAtYCviABwiVRD4OuIBuUsoK37mbTrf68M2bR+4116EXF+/fq70DRVFwDBmMY/Bgil59DS0rC2vHjiQ89AD2faqg9cLCUJvWoiLsJ59c9kVR3k7hdJIy6Rts3aNoewJ6URHpPXqGivr2xWql4ZLFh101tRH529ax9tdPKMncQYNux9N2yAXYYuIJet3s+m8WfncRuxbPJH3p3yiKBaEqdL/wNtoONXjFWcqyr19jzU8fovkNPpsqkNSiI6c+813E9szVC5n51DXouoYe8EWsQJdk7WTJFy+RsWwONmcc7U67lHbDLq7WV6q7lvzN7Bf+V6qYIUFRsNgcDHnsCxKbtYse0NudnHjbq6FW3DVAXQyUTZ99+BDcuYucMWMJbtp0aHw2oCQnk/TWm6EFljVrUevXJ+7Wm4k577yw42QggHfGDLRt27F27YJ/9RqKnngy7A2mcDqJv+fuUH1KFGQgQOYZIwiuWBmxT8TFhXoCDB1afRdYQ+R6c/l500+szV1D8/jmjGx9JmkxDdGkxrKspWS7s9hcsJmp26YiCAXdg5qdwtXdro2qLrE0aymPz3/EcPW3KigofH/m5IjFoVxvLrf/dSslgeLSFWgHDtXOcye/QFpMQ7xBL1+t/YI/t89Al5ITG5/ERR0vJsZqXOx9IGS5M7n5z5vwBD1lDwB21c513W9gULNTAHjmn6dYkD4/7AHDqlgZ2fpMxnS+vNpsKU9tBco3Ay8C7aWUG0q3tQTWA3dJKV+saLzpdKsXqWkEli/H/dPPuCd+FureZBRUQsWSP1XFYgkV65VbLRBOJylff4Wt5zFRh+keD/n33odn8k8gJWpKColPPYlj8CmVnnL3yQMJbogUUxdOJw1Xr0QYFafUUfwlhfgKc3GlNkK1VPyE/e3lfQm4D7xNeb223Rn6+JcR2wPeEvK3riNz1T94C3Np0KkvjXoNQFFUPPnZ/HzzqQTLdRNULDZannwmfa+uHulCKSU/3TQkIh8bIK1bfwbe/z7Z6/7jzyeuCrNjD036DObEO16L2F4d1NFA2fTZhxmB9evxzZ5D0RtvoOflR/fZ1YHNFloZLpeDLJxO4u++i9irrow6TJbmIxe9+irSH0BYrcTdeAOxN95Q6Vu8/AcepOTTiRF5z8LlJOX777F16Xxw13QY4df8ZHuySLQn4bIaKIqU45F5D7No94H/LVmEhUkjf4j4/IN6kB1F21mZs5JdxTtpFt+ck5qcjNPiRErJTdOvZ3vx9jIFDoFC49jGvDbojTJFjIPl1cUvM2Pb9AglkRhrLJ8O/wyA8346O2IVHiDelsDE04wbnhwsFfnsmizmGwnM3+NwAaSUm4UQc4AzCTlkk2pESklwzRr0nFys3bqixMejZWVR8PB4PH9MQQiB44zTaTDrL4Jbt5F9/gWRr72sViwtWxLcujX0Wq1U2J5gcP+CZ4OCD+nxUPDss6R++QUQqn7WdqWjNmuKDATRtm1Fbdac5JdfQj71JLrbjZKcXOWUidhbbqbgzrsiVjZixlx2RAXJALaYeGwx8ZUel7NxxUEFyarNQZvB54dt03WNxR8/zcZpX5cqeeh0OP1yGvceVHav/n334YjgVA/62fTX93Q550aEItg88wdKstNp0KkPTfoMrrDxiRFBTwnuXOOi0j0ttIM+b9TfH6OW4Ec5ps+uBYI7dxHctAlr69aojRoi/X4KX3iRkk8nIktKsPXtS71PP0Fxucg6czR6VlbEHEpqKtLrAU0PLYKoashv74/knMGx0uOh8MWXiLl8bFmaRXDTZpSUeihxcQTWrUOpV4+4668j9uqr0PPzURITEZaqhRYxl1+O+8uvwttuW61YWrc5ooJkAJtqo1Fs40qPy3JnsSFvfaXH7UEgwqTlVKFyfOP+EX5v2tapvL/8XXSpo0mN3g36cEmny3BaQk1mpm2byrbi8AwriU5GSTr/ZCygZ/2ezNo5iw1562ka15QBTQcRa4utsp17WJq11FD/WdOD7HbvJtWZargfIKBXk4TiflKTgXJnwKiiZyVQcSKUyX6jpaeTfellaFu3gmpBBgLE33IzJZ9ORNu9OyTtBnh++JHAf0uoP2MazpEj8P78SyjHrBRht1HvkwkoSUnoWVnk3HATwaVLq83OwPIVaAUFFD72OO7vvgOLFbweQCBcLqTfj+vcc0h88gnUCroBGhEzehQyJ4fC55+HoIaUEtfFFxF/7z3VZn9dYs2vH7Psi5cPag5dC5LaYe9Dth4MMG38ZeSsX1L6c8hxrfllAvaEZNqfeglSSsNiQQCkzra5v7L869fKUja2zPqRld+/y5BHP8PiqHilpTyqzY6iqGha5EOZPS4RgJR2PSJahEMo9aL58adV+VxHCabPPoRIv5/cm/6Hd+o0hM2G9PtxDhuK1DS802eUrR77584le9RZ1J8xjfgH76fg7nvDC7UdDhKffQbHgJPRdu6k5LPPKf7gw2ppXgKhgunA+vX45y+g8MmnQFHKzi+cTmQwgK1HD5Lfexc1JWW/5ra2bkXyRx+Sf/sdaNnZoOvYT+hP0quvVIvtdY1VOasYP/fB/Uq52Fd/WZc6x6aFKwp9tOIDvt8Qnj63cPe/vLjwOe4/LiS7+dPGyYbzB2WQJZlLeHfZO+VSNux8vuZznjv5BRpXIfgvT5IjiSxPZsR2TWrE2eKwqTbaJLRhXf66sP0KimG3wUNBTeqvJANG+lG5QJLRACHE1UKIhUKIhVkGT80m0ckZO47guvVItyekJOH1UvjiSyHnU/5pPRBAS0/H9+dfJL3wPLE3XI9Srx7YbNj69yfphRcofPoZss8+h6J33iW4bD+qqauwiiALCsjo2h3319+Azw8lJSEtZk0L2e3z4Zn0HUWvvAqAlpND8YQJFL3yKv7F/1WqERx75RU0XL6M+jP/otGKZSQ+Mr7KqxtHEt7CXJZ+/tIB5yXvQUqdld+9VfbzgrcfKAuSy6P5PKz+8f2y/9ejdICSus7qnz4g6HOX6UYHvW4Kd21mzS8T9ss2xWKl5YDRqLZ99J/tTjqOCOVGWuxO+l71CKrNgSh9dWixu0hq3oEWJ43cr/MdBZg++xBS8PQzeKdNDzXw2OP7/piC97ffI1IspM9H8XsfEHP22SS++Dxqyxahlde2bUl86kl88+eTNeJMCp54Evcvv1Y9SK7K2zq/n6xhwyl4eDzS7Q4Vh5e+aZTFxeD14V+0mNwrQoVp0uvF/f33FL70Mp4pU8JXiw1wnHgCDRbMI23O3zRc+h8pEz9FTU6umv1HEFJKXlr0Al7NW2nzkQrnQTJh5YSy78oZ26bzw4bI1ugBPcDizMXkeUN/8nm+3Khzrs5dSZ4vD68W+r30aT5KAsW89t/+P9Cc3facMr3lPVgUKz3r9yLeFnpLeuMxN+OyuLCWNjGxq3bi7PGM6xI9BagmqekIwuhuR/3LlFK+C7wLoXy3mjLqSCOwYSPBjRsjpXaiCcv7fATWrcMx+BTib7uV+NtC1f/eWX+TO+4KpM8Huk7AoMgiKg4HzpEj8fzySyj4jYaUlUoLSY+H4g8+xNa7d8geKSEQQLz2Oo5hQ0l67dUKC8KE1XrYVEtXJ3owQNDvxeqMrTQdZffyeSiq5YCamISfVGf3inkAeAty2Db/96iHlukqCyV07mAg4hjFaiPgifz90AM+ts7+hS5nX79f5vUccy8BTzHbF0xBtdjQgwHaDbuYNkP3dnFsceIIklp2ZOP0b/EW5tKk98ADSvU4SjB99iHCPfGzyJzjaIV7gQCBZaE3e66RI3GNDD3kabvSyRw6LFSoHQgQWLGi6gZYLNhPOQXfH39UfmxlcnCBAP5ly/D98y+511yLLClBut0Ilwu1UUNSf/wBJSEh6nAhBGpD4yYZdRld6rgDbpxWZ6XSa7neHHK9OVH375tiUfFcuZQESoi1xfLZ6k+jjrMoFvJ9eSQ5kki0JUZtfZ1RkhGmlAGhgHxN7moCWmC/mor0a3Q8FxRfxJdrP0cRKkE9QLfU7tza6/ayY1oktODtIe8xZcvvbC3cRvukdpzSfEi1FhXuDzUZKOcRWqHYlySMVy1MDhA9Px8sUf4IFSVCukfY7Vhah2sSSinJv+feqmkvW9TQ12mp8xQuF7a+fUl84jG8v/xyEM/C5ewpLAw53HL2SI8H75SpeH/7HefpR89rcz0Y4L+Jz7Fx+jfoWhBHQj16jXuApn0GRx1jcbgqCG/2D0diKgDFmTtCwWjA+AEsqXlHAP5+/kbDxilCUehy7o2sLO0iuC/KAeSRq1Ybx9/0HN7L7sGdk0FsWjNsrriI4xKatKHnmKMzBWc/MH32IUJKubcNdFWwWrF2jszZLXzpJfTCwsoDWUUJLVIoCmgawulEJCWR9Pyz5Obm4v93/xpUGSGsVvIfHo+ek1NmjywpIbhlKwVPPU2SQcOoI5k/tvzOp6s+xh1wY1WtnNX2bM5rd0HURQ6raqswEN6fVWZVKNgtoVXbbE/0ZjS6rtMotjGT1n3DrpJdEfsFguMa9mN59jIw+BUTiAOSXT273Tmc3uoMdhbvINGeRD1nvYhjEu2JnNf+AoPRh56aTL1YSSjnbV86AZGtu0wOGFvnTsatpO12cDrDOyFZLCgp9XCcEq4iIYuKylpOV4jVinPECOpN/BTn6FE4hg0l4ZmnsQ8ZTPbosxEJCaHz7VnxVQ4sWrO0bGmozSndbkq+/jp8m9eL59ffKJn4GYGNmw7ofIczCz94lI3Tv0Hze5FaEE/ubua9eidZaxZFHZPW9fhq0Y1W7U46nRl63RWX1iykRWyEonDMZXeTs3EFWWsXRWg9A7Q4cSSdz7yK2IbNI175qnYnrU85P2JMVXEk1CO5VeeyIFnXtUrTdEwiMH32IUIIgbVHD+N9iYkh311+m81mqDzhmzWr8iDZYsHapTP1Jn1LzKWXYB80kLi77iRh/EPkXnMtWkZ6qF31ngfVAy18DgYJrlgRaU8gEFIxKoeUEt/ceZR88im+BQuOuL/VWTtm8v7ydyn0FxKUQTxBD9+u+4Zv130ddUy8LZ4OSR1RDrLph02xMajZKViV0H1sYNB4ZA+XdLoUgC/XfklAj3wD2CimEXf0uYuBTQeVzbcHVaj0btAnqsRdZTgsDlontikLkvcUGR6O1GSgPBk4TghRtnQphGgB9C/dZ1JNCKeThPEPI5zOvQGIw45avz71f5qMfdCgUPBqseAYOoTUyT9G5O0Kh6PC1qIAOJ0kPvk4ya+/huOkE0l+/TXqffgB7s8+p/ChhwmsWIG+axeoKkpyMvbhp2Lp2Wv/LkZRQkoVl4+t0uGBlatI79WHvFtvI3/8I2QOHUbeXXcfMY7XX1LI5r9/isg11vxeVkx6K8qoUKHbyXe/g9UVi8UZg1KJhFw0Wp9yLk2PDWmZ2uOSaDVgNOo+XfqEonDCrS+T2v4Y8jatNH55D2U2nHjbKzgS6mFxxKDa7Kg2Bw27n0CbwQdfL5a3dS1THriAry7qyteX9mDB2w+Y6hZVx/TZh5DEJx9HxLj21nZYLIiYGFI+/ZiYiy8q8+fWY44h5duvsTRrFjGHkhy5ErcvjjNOp/5vv+I4ti+JTzxOyqefIEtKyLv+Rvxz56Ft3xFalLBYsA8YgHPk/ufuC6eTuDvviJ7zXG67np9P5pBh5Iy9nPxHHiXn0jFknXYGehW7tNYFvljzWURBnk/zMWn9t+gVNHy6o89dpMWkhVpXK/aox1VEs7hmXNX1mrKfx3QaG5ETLBCc2Wo0Z7YZze6SDJQo9y0oNayKlUs6XUarhFY4VAc2xYbT4iQtpiE3HvO/A7KxPIX+Qp755ynOnjyKs38cxYNz7iO9JP2g561OajL14j3gRuBHIcQe8frHgO2AcYs1kwMm5uKLsLRrR/H776Pv3o198CnEXnYZSnw8KRM+DL0KF9FfkwibDddZZ+GeNCl6IUgggL1//7BNRW+/i3/+/PDj/H70khJizj8fEOSOHVuh7SI1FVu3rmjbd2Dt3Jm4/92IpUULCp99LvJYlwvnyJEUvvwK7h8no23eDIHwJ2HP9z/gOPFEnCPOqPC8dYF9G2WUp3DX5grHpnboyeh3ZpOxfC4FOzay4tvXSxtzVA2LI4b6HcIfdHqNexBXvYas/fUTAiVF1GvbjZ5j7iW5VWgh0pXaqKxorjyqzU5sWuiLPq5hC858Ywa7/puFJy+TlHbHlHUnrAgt4EcL+AxTKwDcuZlMe/higqU50HrAz5bZP1GUsY3B4z+p8nXrwQDLv32DDVO+IOB1k9KuB73G3l8lG+s4ps8+hNi6daP+1CkUv/MugZUrsXbpQuw1V2Np1gxbz54kPPoISFlhPUbsddeSd9vtEC1lTlVxDhoUtimwZg1Fz78QflyplJylXVvi77oTz6RJFRtvseA4dRjB9RtQGzQg9tqrcZx8Mt7pM0LfB+VXlW1WnCPOwP3tJIonfExwwwZkSUnZG0NZalPBY4+T9OwzFZ+3jpDlNi5s9Wpe/Jofh8VhuD/Zkcxbp7zDypyVZJSk8+6yt8sK6KpK2+T2YTnD/RufgCIUPl45gd3uDBq4GnBppzH0bxxqtpTkSCYYpfh6Txtsp8XJsye9wOrc1Wwp3EzDmEZl3QkrQtM1PEE3LmuM4bG61Ln377vZVbyzbDV5WdYy7px5G+8O+aBSveny/LltBp+tmUi2J5s0VxpjO1/OcY36VXl8RdRYoCylLBFCDCLUDvVTQhmT0wm1Qy2uqfMezdj79Mbex1g+pSrd0OLvuwfvrFnoUVIw1GbNsDRvXvaz1HWKXnrJeDKPB/+CBSQ8cD+ifn1kZvSAz9KsGSmffByxPfndd8gdNw50iQwEEDYb9sGnUPT662jbtoHXOOiTbjfFEyfWiUDZX1zAks+eDxXJSWh63FB6XHIn9thEABxJqVEL8qoipaba7DTuNZDGvQaSs34p6UtnV1kJQ2pBEpu1C9umKCqdR19D59HXGI5J63Y8ttgEgj53mO62olppNWD03p8tVpr0qbyJDEDAXcw/7z3Mjn+mIqUkrkEz+l7zGKkdeoYdt37K5+j7PDTpAT+5G5eTv21dxLVEY/5b97Hjn2lln1PW6oVMe/hihj83mdj6+yeFVJcwffahx9K8OYlPGrcOFkJUqkrhOG049m8n4Zs+3fgAIXCecXrYpvyHxhsfq2n4Zs5CefghHGecjvfnX6KfWFWp987bEZuTXnyerJFnIotLkB4PwulEbdwIWeIm/977oudl+/14fvixTgTKmtT4bv0kft74E+5gCR2TO3Fl16toFr/3u1FVVIykgAUiYnU34hgh6JLShS4pXfAEPXyyakKV5eIcqoO2iW0jtvdrdDz9Gh1vOCbOFke/hv2Zt2sOAbnXf9pVO+e125sOJ4SgU71OdKrXqVI7dKnz1Zov+GHj9wT0AC6Li8s6jWVoi2Fhxy3PXkaWOyss5UIi8Wk+/tr+J6e1On3fqQ2ZunUK7y57u+xz2lWyk+cXPccd4k6Oa3jwwXJNpl4gpdwmpTxbShkvpYyTUo6SUm6pyXOaHBi++fPZ3e/4UCGGEaVtqcunNGjp6WEazBG4QoFcg99/RUmLkiclBLZuXQ13hWSD5hP/0IPE33E7Kd9+jWPgQPQdO6MGyWWU7vf+PZvMU4ezs3VbMk44kZLvf6h43CFE1zWmPnQxm2b9SMBdTMBTzJZZk5n6wIXopdrAJbt3IKKoM0gDVYmK6H/rS3S74GbiGrbAWS8N1e6EClYEJLB71b9VTmPJ2bCMKfedjzs7HUHoS16oFhKatmXQwx/jiD8wyaeZz17Pjn+mogcDSC1I4a5N/PnklRRlhIvj529ZU6brXB5FtVCUvqVK53Ln7mb7gimRqS4BP2t+/uiA7K9LmD677qClp5N5wkn458+LeoylU8eIYNtfkTJGafpd8uuvYTtlUNTDLE2aRN2eNm8uic89Q9ztt5H0+mskv/sunl9+qbR4UZY+5AY3bSZ7zOXsatOO9G49KHzu+bJ9hwNvLXmDr9d+SZ4vF5/mY2nWEu6cdTu7S/Y2P/IFjb+f9jcHd0Trkdze+07aJrYj2VGPRFsiVhE9h9yn+dhSsJmAVrXPK9ebyxPzH2P2rlkEZRCBwCqsJNoTuemYm+ma2m2/7N3D12u/5LsNk/AEPQT1IIX+Qt5b/g5zds4OO25n0Y4INY0917G1aGuVziWlZOKqTyIeJvyaj09WRi7AHQhHn8CsSQTS6yV7zOVQXEEup67j/uRTvFOnkfL5RCxNm6LExlbYrW+PYoXaoAFpC/8hc9BgguvXh40RDkfotdz336MkJmI/8cSw/Gk1OZnYMZeV/Vz8/geVOlzhdOI8ezS+OXPJHXt5WTCvbd4S6txXXEzspZdUOMehIP2/WbhzMsICXl0L4snLZOeiP2nadwhWVxxCCMO0X2e96EUaRiiqhQ6nj6XD6WOBUFC49IuX2LXoLxSLBcViw52zNzdMD/hY/PFTaH4v7YdfWuHcRelbmPHoWIK+0D2XUqJY7TTs3p+T7jRWuagKBTs2kLtxeYTUnB4MsO63ifS6/L6ybcltupKxYn7ECryuBUho0qZK5yvctRnVGqnsIbUguZv2Qy7RxKSGybn+xlABtkHR8x609RtI734Mye++g+PE0Kt2JT4evcBYBmxPGpuwWkn95GPy7nsA96efhp/D4SDuphvx/PIrSIn95JNQ4vamQwm7HdeZZ5b97P7mW4RFRVa0tqGqOAYORMvMJPP0M0K60lIiPR6K3n6HwIYNhivYh5o8bx5/bp8RVvgmkfg1P99vmMS13UPylk6Lk5Jg5PepXbXvd5H1cQ37la2KBrQAX639kqlb/yCgB4i3JbCrZO8bYInk9y2/sdudUdZIJBoBPcCdM28jx5tbljetoBBvj+ftIe9VuvIdDU1qfL/hO8Mc7c/XTCxL+QBoFt/CMCXDoTpondC6SucLyiD5vnzDfRnu6sl1rtEVZZPDn8DateweeAoUV/5mVXo8aFu2kHPpmFAglJCAtWPHqMcHN2yk5PMvcP/wA9LtJnXyDzhHjgCbDSwWLG3b4Bh+KtkXXkz+3feSe+31ZPTsTWDNmqhzqo0aVViVLWJcWLt0Ieb88yl48qmIFW/p8VD07LOG8mWHmvyta8sCy/IEvW7yt4a6EsWlNSOhaduIvF/V7qw0eK0MV3ID+t3wNGd/OJ/R787GHh/ZU0LzeVjx7Rthn5e3MJesNYtw5+5Np1n904do+wSXesBH+tI5UdtMV4XizB0oauTzvNSCFOzYELat7ZALQs1Hyn0RqVY7DTofS3zjVvtOYUhcWnM0g9UroVqOhhxlkzqAnp9P9mVjCPzzT4VBMoT8nSwsJHfcFWi5oYYSMedGL5rV8/Nxf/c9JV98iZaeTuLjjxJ36y2I2Fiw2VCSk3Gdfx75995H3m23k3f7HWT06In7p5+jzqmkplT45gqXCyU5mYTHHqVkwschn11+AcbrxTt1GsFt26LPcYjYWbwzQv0BQsHh+ry9neSGtjgVmxJeQG1TbAxpPvSgzm9VrVzS6VI+Hj6Rz0//in6N+kWoTvh1P/9l/hdWEOcLelmds4odRdvLti1In09xoDhsRVdHxx10szDjwOUCvUEv/igr2vtK1XWu15nGsU2wlPtMFRScFhcnNTm5SuezCAvx9njDffWdDapodSXnqJZZTOokekEBWaPPQhYU7scgHW3nToJr1mDt2JGEJx4ne/RZkQ7bYsE3fTr+v/8ulYq7h3offUjym28gvV6k34//34XkXntdqDNVqdC+LC4m59IxNPhnftmTt/+//0LyQoqC7di+iA8/Cn8VJwTExOAaNQrHoAE4Bg9GqCrBDeuNL6GoGFlUFJKyq0XiGjbHYncQ9IavkFscMcQ1bI63MBepBTnpjtf584krQykNioIW9NPhjMurnONbVaKlJwS9bgKeYizOGBa+N57Nf09GtdrRAj4a9x5EvxueIW/LGkNJONVqoyh9K67kcIeVs2E5a3/7BHd2Og17nEjboRdii4l0donN2hlK0ilWGyntjwnb5kiox7AnvmLRx0+xe8V8LDYHrQadQ7fzb67yZxCT0pBGPU8m/b+ZYYWPqsVGhzPGVnkeE5OaIvuyMQT2p2MqgJR4fvqZ2DGXEXvDdRS99lpEETSAnpND/j33gpTkaxrxd9xO/G23Eve/m5DFxeh+P7v79Y9olJJ3y63Ye/cqaxoS3L4d9zffoufkYD/pJERsbOhNYPnvCYsF5+mnYevXD9dZo1FiYvAvXmxYTC5sNgJr1hoqfxxK0mLSDGXUFKHQLL457oCbkkAxF3a4iPSSXSzevQiLYiGoB+mW2p2xncdVqz0b8jcYFuJZFAs7irbTMKYhf2z+jfdXvI8qFDSp0SimEQ/2G8+Ooh14gpELNd6glx3FOyK2Z7kzmbzxR9bnraNFQitGtRlFWkxkkxiXxUWsLZYCg1XeZnHNw34WQvDECU8xYeWHzNzxF5rU6N2gD1d1vTpqweO+CCG4qMMlfLji/bBVbLtq59JOl1UwsuqYgfJRjPuHH8FfQS6TEMapFaqKXlCA7naj796NtVNHAuvW73VwqlrWNrt8w5CccVfQcMnikNi9w0HxJ58YplHoBQUEli7F1qMHBY8/sXeVQQjExx/jGD4c38yZSK8PNA21RQvqffh+WKEhgNqkCcE1aw3sV0Kr2rVM4z6nYP3kGYJ+b9kXiFAUVJudNT9PYMFb94EQxNZvSr8bQ0Uu3oIc6rXuarj6C1SqblIRsQ2akb81cjVftTuxOGNY/eP7bJn9M3rAX5aasGvRnyz57DmSW3Umb8tqpBbutLWAj/hGLfbaJyUrJ73Fiu/eRpauOuRuWsGGqV9y6jPfYY8Lv66YlEY0O+7UsLxhIRQsdhfthl0UYWtcwxYMuOfgBBqOv+k5ln7+Ihunf0PQ7yG5VWd6j3uIuLTmlQ82MalBAqtXE1y1GgJR2kLvaSyyj9+Wfj8yPx+pafj/+RfH6afj/e23yE6Auh5SpCil6MUXsZ90IrYuXRCJibgnRMn51HXck38i7pqr8fzxB3nXlzYd8vtxf/Mtlg7tURLi0bZtD0mAOhwkvfYKjpPDVw0tHTrim78gIoiXbjdKSuVSeDVNijOF3g36sGj3Qvz63oDeqljJ8+Zx6W8XIYTAoTq4utu1jOtyBTuKdtAotjGNYo27xUopkchKFSSMaJXQipXZKwjK8N+HoB6kcWxjVuWs4v0V74UFkFuLtvLIvIe5oP2FOC3OiGDZoTpoFhf+QLJo90KeXPAEmh5ER2dt3lpmbJvGEyc8Tduk8OJBIQRjOo3lnWVvRQSuYztfHnENLquL63vcyPU9btzv69/D8JanoSD4fM1n5PnySHWmclmnsWFpHgeDGSgfxWhbtkbvxGe1orZqibZ1W2Sb1WAQvbiEjB49QYiQQwwGwRF6AlSSk0N6ygZ4/56Nc+gQgDCHHIaioJe4KXj+BYrffmev05cS6Qk1F6n/+2+httYuJ5YWLQynib/rTnJvuClSOknTyRo5itQfv0dxVV1+prpRLTaGPv4l/7zzIBnLQwU59Tv3JX/bOvK2rIbSvLHCnRuZ8ehYRrw+tUyGbV/cORn8+9540pfOBiFo1HMAcQ2bs2nGt/hLCkls1p5el99P/Y7GqigA3S+8hdkv3hJWyKbanXQ+61oURWXdbxMN9Jx9bJz+LSfc+jIbZ3wTfn02B02PHYozqT4AfncRfz42jtxNKyLm8BbmsvqnD+l+wa0RCi3HXvcECU3bsO73zwl6S0jr1p8eF9+OI6FmvjhVq42eY+6h55h7kLpeJcUYE5NDQXDHzr26y/uiKCj1U5EFBUhP+N+psNmwdGjP7uNPCHVy1fWQhJvDAVKipKagZ+dE+Hrp8+Oe9B22Ll1CP3s8xg1OgkGk2413+gxyr7w6bOVYlpQQWLWaxCcex963D9LjxdK+HcJAtz/2istxf/5ZZPGelORcOobUyT9ibV21NKqa4vbed/LB8veYvm0aAT1I07gmxFhjWZ69rGy12a/5ee2/V3jk+MfondbHcB6/5uejFR8wddtUApqfNoltOb7R8fy+5Tcy3ZkkOZK5qMPFEUoR5Tmj1Uh+3/IbweDeQNmq2Oia0o1GsY35dNUn+LV9UuKkTkZJOjEGkm2qUElwJNInrS8QCuLfWPIaU7dOCesMqEkNTdN4c8nrPD/gxYj23INL201/vmYiWe4smsU1Y0zny+mc0qUKn/CBMazlcIa1HI4u9QN66KgIcbg2Zujdu7dcuHBhbZtxROOe/BP5d9wZGbBaLMTffy+uCy8k+7QzCO7aFXKgQiAcDuLuu4eip5+NHuiqqqEzFbGxJL3wfJlcUfGnn1L4yGMRwbqIceEcNQr3V1+XrUyHHyCIe+B+4q81ligrT/G3kyi45dbIlXGHI/RK8YbrK53jUKAHA0gk6f/NYt7r9xDcp0mGanPQ/aLbDPOSg34vP/9vGJ6C7HJfUIJ9O3+odgeDH/mM5JbR5X22L5jKfxOfoyRzO46EenQ+6zraDgutknx1SQ9jqTohUCy2kOJEuc+5zZAL6XX5fWU5xnNfu5Nt836PWHUuj2Kx0vTYofQe9yC22NpNjTkYhBCLpJTRn0qOQEyfXfMEd+5i94kngm+f9ARVxT5kCMmvv0r+7XfgnTqt7G2dcLlwDBlMYPOWUOc8o7xmmy20imsQD7guu5Skp54EQjUtmaedERFQC6eT2Ntuo+i556Lq8FuPPZb6331b6TX6lywh+4ILkUX71M0Ige3440n9+stK5zgUaFJD0zVKAsVcOWWcYUpG7wa9eajfI4bjH5//KEsy/wtbmd4Xu2pnXJcrGd7ytKjHbC7YxNtL32JN7mpsqo3BzYYwtss47Kqdu2fdyercyKaaTosTBQWf5gtbje6U3Jl7j72fBHvI987YNp23lr6JrwItZ4GgY3JHru9xY5hEXl2jIp9tLpUcxThPHRbKKSufhmC3Y+t5DLFXXYUaF0fq778Sf+892Pofj/PMkaR89SVqvZSKJ47SUlUGg9hP3PsqJOa887B06IDYs6qrqgiHg/j778f9zbfGQTKAlBVrfJbDVn7+8ni9uH/8sUpzHAoUixXVYqMkOx3doBBC83spyYzUt/bkZbJ68of43UX7fAFGfuFpfh8rv6u4crzpsUMY+doULvhyFaPfnU27Uy8uS+NIadfD2HbVEgqgy3/JCoEnN6MsSNZ1je3z/qgwSIbQA8P2BVOY/tjYI6a7oolJdWFp3AjX6NHgdO7dqKooCQkkPfcMitNJ0uuvkfTiC9gHDcQ+aCBJL75A/P33EVy7Nnrxn99vGCQLlwvX6Xu1bK3t2xNz6SVhXWCFy4XznLMp+eCD6M2qgMDSpVUqorb16BFKq9sXKfHPm3fY+AVVqNhUG7neXMMCP4CMkshCZnfAzfxd8/lv9+IKg2QoVYpYPbHCa26Z0IpnTnqOH878iW9GfMc13a8rU6zok9Y3oqhwz7yeoCciZWNH8XZibbFlP/+y6acKg2QIKW2szl3NXbPuIM+bV+GxdRUz9eIoRthspE7+gcKXXsbz42RQVWLOO5e4m24sC46UmBjirryCuCuvKBsX2LChQlm4MvasLFssYLGQ+MRjKOUK6ITdTur3k/D88gveadNRUlKIufgitK3bEHY7siKnu2wZWm4earJxrm7ZORyOqF8Owll7aRfRqNe6C4qiRmjVWxyusEA16HUz97W7SF/6N0gZIZ9miJTkbzPI2TZg3xznvC1r0PZdTRaitKjP4D5Jye5V/+z9WdcNHwCM0IMBijO2kbVmUYWpIiYmRyOJzz2LtVMnij/4EFlcjH3QQBLuugs1OaRTLhQF54gzwhouBTdvRihKtO7y4agq6DrC6cRx2nBs/cMbVSQ8/BDOYUNxT/oOqevEnHUWlm5dcX9RyUqvz4dv5kwcAwdWaoKw2Yy1k6OlndQijWObGOojq0INSzWQUvL5ms/4fv0khBBhzT0qotBfSEAPYFMrrqvZ12fn+/LZXrQtYqXbrtqxKFZKApFKVz7Nz+6SDBrFNi6dI4qM4D5IJAE9wJStv3N++wurNKYucfj91pkcUpSEBBLHP0zi+IcN90ufD+9ff6Hl5WPr0hlru3Y4Tj6J/CirxuWxHdsXa/v2iNhYXOecg7XNXl1E6fMhNQ3F5cI1ahSuUaP2DgwEo68m70FVCW7cgJpsnP+1B0vrVqiNGxPcuDFcv9nlInZs9VTEVif12vagXtvuZK/7r0x1QbHacKU0ClO5+Oe9h0lfOjtC77dChCCxWfv9tqlgxwamPXRxqNvePnMdd/1TTHngfEM7yreazlg+L3pxqAFSSop2bTYMlDW/j52L/8JXkEP9Tn1IaBrZicrE5EhFKAqxV4wj9gpjBQUpJf4FCwhu3YratCm2Hj1QW7RAJCZEr0nZM3dyMjEXnI/0enEOH46t33FlAZjUNKTbjYiNxd6vH/Z+ezueSU1DWK3Iivy2lARWra5SoOw6+yxKvvwqfIXaZsN55pkHVKhckzgsDs5tdz7frPuqrHhNQcGu2jm33Xllx83YNp0fNnxX6SryvsTb46OuWEfDF/Ry+1+3kOvNLcstFghirbHc0eduPl01gQ35GyLG6VIjxhpaUc7x5JDnza3yOQN6gM0Fmw336VJnefZydhRtp0lcU7qmdK32POKaxAyUTaLiX7aM7AsuCilO7KmOtliIGXc5cbfdSvHLr4Rk3QxWbIXLRdz110U4RT0vj7y77sY7dRroOtZOnUh8/jlsXfYWqVk7dcTSrh2BlSsrTL+wNDbuDhVmhxAkf/gB2eeeiywJyRNJTcM5ahTO8sH5YYIQgpPveYc1P3/EphmT0LUgzfufTufR16CUdugLeEvYvmBKJUHyni+TvYGparXT5ezr9tumFd++EVLmKI+UFGVsJa5RC1r0P4Otc34JW3FW7Q7anzam7OeV378dNUgWFhvSQAIuwaDldN7Wtcx4dAx6MBhK4xCCpscO4bjrnzaL7kyOerTcXLLPPjekOewrTYcSAvvAASQ+/jh5N/0vFMwava2z24m54HwS7r8vbLPUNAqffY6SjyYgfT6UlBQSxj+Mq9yKtVBVYi4fS8mHH0Xv1mq1ojZtWqXriH/gfgKrVxNYuTe/1tK2LYmPjq/S+EPNee3PJy0mjUnrvyXfm0/XlK5c3OlS6rvqlx3z3YZvq9yKeg921c7FHS7d74eDWTtnUeQvimgN7df9xFpjGdXmLF7775UweyzCQteUbmX5ydO3Ti1rRLIvCgr6Pu89bYqdtomRPrvYX8R9s+8hoySjrNCuQUwaT53wNLG2uIjjD0fMQNnEEKlpocYi+3ZwCgYpmfAxMZddSsp33+L++huCmzfjmzsvJE2kaQhVxXX2WdgHDAifU0qyL7iQwNp1ZfI/geXLyT77HBr8PRO1/l6nUm/iJ+Td+D98s2ZFBliKgmPQQNRGkRqORlhbtyLtnwX4Zs9Gy8zC3rdPVKWMwwHVaqPz6GvoPNq4WDHgLg61iI423u6gad9huFLS2DDtK/zFhSS16ECvsfeR1CJ6g5ho5GxYXqbAUR4hFNxZu+g17gG8hbnsXj4PxWpDC/hoedKZtD9t74p9wfbI1YvSSbA4nARKgmXnUCw2kpp3oF6b8PapUkr+fu4G/MXhv5Pb/5lGWvefaXniyP2+NhOTI4n8O+4MvT0r/8ZPSnx/zUTbvZvUP2fg+eILAmvW4JszF6lp4PMhHA4sbVoTd+stEXMWPP4EJZ9OLFMP0jMyyL/1NpSEeBwnnVR2XPzddyF9Pko+/sRwgUNJTMQ5rGoNN5SYGFK+/47A0qUE1q7D2qYN1p7HHHaryeU5qcnJFTbJKKggjUEllKbRJ60Pv27+hYySDOo56nFhx4sPqEnJmtzVeKPkFm8q2MjQ5sPYVriNHzZ8F9J5lkHaJLbl9t537p0jb01EMLyHtJiGZHkyy9I6BAK7amNIi0hb31/+HjuKd4TpPe8s3sH7y9/jll637fe11QZmoGxiiOeXX9ALozQi8ftxT/yMhHvuJvHxxwDQcvPw/vorenERjpNPNuzY558zN6S3vK9GZiBAycTPiL/t1rJtanIyKZ9PRMvNo+iVVyiZ+FlohURVcZ59FklPPL5f1yMsFhz7BO51FWdiKlZXLFpB+OqEEApNjxtG/1teLNvW/YJbwo7R/D5WfPcWm/78Dj0YoGnfwXS78FYc8clRzxeb1pySrMhCQl0L4EhMwWJ3cvLdb1GStZOSrJ3EN24dId2mRyvik5KT736bNZM/IH3J3ygWKy1OGkmPi26P+FIs2L4eX2Hkq0DN52HjtK/NQNnkqEbLyip7UxeBrqNt3oLMzCT+zjuAUPqb548paDt2YO3SGfsJJ0S8ldGLiyn5aEKkz/Z4KHrhpbBAWVgsJD76CPH33I170iQKn30emZcXUqvo3Zuk115B2KveFlkIga1HD2w9elR5zOFMl5SuzNs1N0xmDSDZnsyHp35clopwZpvRYfullMzYNp1v139Nvi+f9kkdGNP5clomtIx6rsaxTbAptog0D0UoNHA1QAjBJZ0uZVSbUWwp3EKyo16EzrNRM5I9DG4+hHxfHtO3TsOv+zmmfk+u7HoV8bbIplF/7/w7oilKUA8ye+ffZqBsUnfx/PEHef+7xbBz0x4koXanamn1tZqcRMwlF0c9PrhpMznjrjB+5efzEVi3LnJ76byJj4wnYfzDoW56DgfiMGgWUpsIRaHXFQ8x//W7S/OYJUK1YLE76HZB9C50Ukr+evoactYtKUuT2DTzB9KXzeX0F3/GYncajuty1rVkr10crq9sc9C8/2lh3fRiUhsTk9rYcA5bTBweg3bdCIW4tGaceMdrlV63HgxEbYVrWFBoYnKUENi4iayRZ1bc0lpRCG7fhq1nqKOlsNtxjRwR9XDd7SbrzNFRvweC27Yan8blIvbSS4m99FJ0tzskH+k09i1HE5d2GsOSzP/waj50qSEQ2FQb13S/rsJ83a/Xfcm3674pS5NYnLmIVTkreWHASzTdpzHIHgY3G8zXa78MC5RVoZJkT6JbaveybbG2OLqkdDWco4GrAStzVkRsV4RCo9hGnNPuXK7senWl160bFDoChgWQhytmUp9JGNLrrTRIBhB2G0pqapXnzb3lFsMufBDS4LT17Fnx+YRAiY8/6oPkPTQ7diiDHvyQxr0GEN+kDa0Hns2pz/xAbINmbJr5A7/fczY/3TyM/yY+h684H4DcjSvI2bAsLJdYakF8hXks+vAJNs38AV9hpLxP/U596HfjsziT6odk7GwOWg08i95XGheAGtFq4Dko1sh7F5fWjKC34gKjPSS26IBqMIdqc9DyJHM12eToJf+uuyLT5PZBBoNYO1e94UPxm28R3GxcnAVg7RRdj30PistlBsmlNI5tzCsDX2dI86E0i2tGn7S+PNb/Sfo1Op4V2ct5cM79XDllHM//+ww7irYDoaK88kHyHnyaj9f+e5Xft/zGzuLIt33x9gSeOvFZWie0RhUqqlDpntqDp058pspFdKc0G2woLaegkGyvV2WZvp4NekWcUxEKPRv0qtL4wwGz4YhJGL6588gZdwWyqCjqMcLpJP6B+4kdOybqMRByzIGly9B9PnIuuDCqvrKSkkKDv2eixEe+tjHZP/59/xE2z/oRrXT1VrFYcSalMvy5yWyd8wuLP34qorsegFAtqFYbUtPoffUjtDrpzIhjpJT4SwqwOFyolv17YAn6vcx49HIKtq8LrYILgdSCWBwxSC1I/c596X/rS1gdMRXOk7FsLrOevxGpaehBPxaHi8Rm7Rn00ATDILq2MBuOmBwqpN/PrjbtovpXAOx2HIMGUe/9dyueS0qCa9agFxaS+79b0HfsMD7Q4SD1u2+xde9uvN+kysze+TevLH4pTDHDptp49qQXUITCnbNuM0yD2LMiLaXklGancG33GwxzuN0BN4pQcFgc+2WXlJIPVrzH71t+Qy99UxGUQWyKDUUoJDvq8VC/h8uk5KKR5c7k9pm34g168WpeHKoDh8XB8ye/FFbsWNtU5LPNQNkkDN/CReRcfAmyOFJjEVXF0qYN8bfeUqbR6V+xAvek78Dnw3n66diO74cQAu/fs8m99rpQUYeuR11Nxm4nbfbfVS7MM4lOSXY6P99yaoQaxp6ufvGNWzH7hZsjuv7ti2q1c8arf+BKblCt9kkp2b1iPut+/4xdS2Yhy2k/K1YbTY8dyvE3PVfpPO7cTDbP+gFPXiZpXY+nUc+TUZTIdri1iRkomxwqZDDIrtZtoyoEKWlpxIy5jLjrrkVYrWi70in56iu0nTux9z8e5+mnI2w2gtu3k3PpGLSdO0FVQ98BRvGBECRP+Ajn4FMi95nsF7rUufz3y8jzhb/JEwh6NejNbb3uYMzvlxh2/SuPQ3Vwa6/b6dfo+AqPOxC2FW5l6tYp/LLp57AGJQJBijOF94Z+WOkqtSfoYdb2v9hcuJmW8S05qekAnJbD601DRT7bzFE2CcN2TA+E0xERKAuXi6Q3XsM5dG9Va9Gbb1H04otIX6irk/ubb3GMOIP4u+8i9/JxlWp2YrcTM3aMGSRXE7kbl4daSe8TKGt+LxnL5tJu2MU4ElMoyfQi9eirTxLYPv+PMNWK6kAIQVrXfvz7/viwIBlAD/jZPn8KwWsew2Lbu/Kx/Z+prJ78Ad6CHNK6HU+Xs67DVS+NzqMqz40zMTkaEBYLjiFD8E6dGh4s2+3EXHIxiY/ubaHsmzuPnDFjyyTiPD9OpuiNN0n54XuyL7gIbdu2ivOchcDSqaMZJFcTRf4iig0af0gka3LXEGuL5aQmA/h7x8wK9Ze9mpc/tvxWI4Fys/jmeDVvhAKGRFIcKGZ1zqqwxiob8tfz5Zov2FK4heZxzbmgw0W0TWrLsJbDq922Q4WZo2wShlBV4u64A6zWUIcmmw3sdlznnoNjyJCy47Rd6RQ+/wLS4w05VimRbjfen36i6JXXorcqtdvBYkHExGBt34742+tG1WtdwJlU31jGTVGJrd8UoSgMfuRTGnTth1AtUQvjpK6hBfzowUBZ05PqxF8cRU2FUMfBPaz64T3mvX43OeuXUpK5g01/fsdvd43Gk5dZ7TaZmNRlYq+7FhETE/LZFgvC5cTaqRPx99xddozUdXJvuDH0dq+0qFq63QQ3babw0cfQs7KMg+Q9c8bEoCQlkfzmm4fqso54nBZnVKnPJHsiANf3uIEhzYdgU2yoqFGP92t+dKnjDXqrvc13njcviqayoNC/15+vyF7BvX/fzb8Z/5Dp3s3C3f9y3+y7WZ61rFrtOdSYK8omYRQ8+xzFb7+zt5hPUbB27UrCY4+G5T95//zTsCWq9HgJ/Ld4b4OS8thsuEaOxNK+HdbOnQzliEwOnHptu+NMTqM4Y2vYirFitdJ2WKitqDMxlYH3vUfQ6yZ/2zpmPHZ5RM6yUFQyV//L8q9fReoaiS060vfqR0luWXnxTlVo0PlYdvwzFbmP43UkpmCPC7UkD3hLWDHpzTDbpBYk6Clh9U8f0vOye6rFFhOTuo7nr5nkjrsi5LN1PdTm2eEk+aMPUFyusuOCmzYZp9T5fPj+/Cukg2+AtXNnnCNHoDZMwzlsGMIszqs2bKqNQc1OYca26WErxnbVzjmlXf2sipVrul/PuK5XUewv5rppV+MOhqcy2hQbTouLC385D5/mI8mexBVdr+KExidWi5190vqyNGtJRFFhUA/QIXmvFOz7y98JO0Yi8Wk+3l3+Nq8NqrsPWGaUYlJG4etvUPzKq+FBbiBAcPXq0Gu9cgi73dixKgpqq1aIcg66bIyqEnvVlcRddy2Ok04yDJKlphHcsQO9gmJCE2OEEAx68CPqtemKYrWh2p04Eupxwq2vEN8oXHPT4nCR0q4H7YZfimp3hFaXhYJqc2CPTWD38nnowQBS18nbtJLp4y/DnVs9K7ndL7oNizMGRbWW2h06b9+r9z6MFWzfEFr13gddC7B7xfxqscPEpK7j/edfci+9LOSz96wGB4PIoiKKXw2XXBR2e9Q3fSIhAWkk3el04jr3bOKuuxbXqFFRg2QtIwMtO/ugruVo5aqu13BC4xOxKlacFid21cF57S9gQNPwrrZWxUqSI4nbe9+JTbVjESH/6FAdxNviWZa9FE/Qgy51crw5vLL4JRbvXlQtNg5oOpC0mIZhKhh21c7Zbc8hyZFUtm1LwRbD8dsKt1X7KvehxFxRNgHAN2cuRc+/YLhPut14/piC89RTy7Y5hgyGe+6NPFhRiL32GmRuLr6FC8EdylMWLheOU4dh7Rx9VdL9/Q8UPPgQ0usNtZkefiqJzz8XtipiEp28LatZNOEpcjetxOKIocWJI+hxyZ2opa2vjehx0W007TuErXN/RQhBYvMO/Pv++JBmcTl0LcCGKV9UqNNcVeLSmnHaCz+x5uePyFqzmPhGLekwYhxJzduXHeNMSo3IY95DTEojw+0mJkcTWm4eORddbJwuEQjg/f0PeOzRsk2Wpk2xtGhBcO3a8CI9mw3X+eeBx0PRq6/trS1xOLA0aoTrggui2uBfvpy8G24iuGMHSIm1UyeS33oDSzNjfV+TcAp8Bby//F3mp89DEQrdU7tzdbfrSHGmRB3TJ60vb57yNtO3TSPfl0+3lG68vPhFQwm5z9dMrBYZNrtq57mTXuD3Lb8xd+dsYmyxnN7yDHqn9Qk7LtYWG5aKsYcYa+xh3VWxMsxA2QSAonferVA7ObhxE7rbXRa0KgkJJL/zNrnXXBsqDNkzVghyL7qYehMnEli1CvfX34DVQsxFF+IcGV3r1jdvHvl33hVWAOj5/Q90txtL48a4J32HDARwDBxIwiPjsTQ2g6XyFGVsY9rDl5Tl+PqL89k4/RuCXg/HXvtYhWPrtelKvTYh0flt834zXOnXA37yd6yvNntdyQ0qTJ+ISWlESoeeZK1eGBa0q3YHHUaMqzY7TEzqKp4ff6yw8E4vKSG4cyeWxnvlu+q9/y5ZZ5+LXlAA3tK0Jk2j8KmnSXz+OZI/eI/iDz5Cz8vFedppxFx6SdSFCi03j+xzz0MW7U3nCCxbRuaZo4m79hqK33kXPS8Pa6dOJIx/GHufo0oEplICeoA7Zt5GtierrPnGwoyF7Ci6n9dOeRNVRFfyqe+qz4UdLgIgx5MTdbU2oySj2ux1WByMajOaUft0DizPqDZn8dXaL8KCdrtq58w2o6rNjtrATL0wAUDfXfEfVGDZMrJHnx0KiktxnDKIxFdehvJPin4/em4eOZePw3X+eaR+P4nUr78KvbarIB+56PU3IlUyfD5806ZT8vkXIV1nrxfvlClknX4GulGu3VHM6snvRxTeaX4vW2ZPxluQU+V5Epq2Qxq0m1ZtDlLaHFrN1BNufZkGXfuhWG1YHC6sMfH0ufIR6nc0v3BNTLSsLONakFJkYSGZQ09F25Vets3SsiWpv/0SHmBrGvh85N95F5Y2bUj5ZAL1f5pM3HXXosTGRp3fPWkSMrCPr9B1ZF4ehU8/g757N/j9BJYsIefCi/CviOzydjSzIH0+Bb6CsA51QRkk25uzXykTifZELIrxmmeL+BYHa+Z+cVbbszmt5emlOdNObIqNYS2Gc25pvnVdxVxRNgHAPmAAgXXrjVtMQyhXefNmvFOn4hy+V+bF8913hmNkcTH+xf9h71211z7a9u3GO6QMn1/T0EuKcU/6jtgx1StfVpfJ3bTSUPJNtdrZOucXNv89mcIdG3HVS6Pb+f+jWT9jqZ6EJq1p0KUfu1fMKxd4C1SbndaDz63BK4jEFhPPgHvewVuYi78on9gGTVEqSCMxMTmasB93LCXvu5AlUTTqpUQWF1P0+hskPvl42WbfH1MQqhpRiI2u45n8E3HXXVul82vbtu1dlS6PwZtJ6fVS9OJL1PvwgyrNfTSwtXArXi1SQtUf9LE8exlTtvzO0qylOCwOTm95Bue0Ow/VQC9eVVQu7HgxE1d9EraSa1NsXNKp4qZg1Y0iFC7vcgUXdLiIbE8W9RwpuKx1P3XSXFE2ASD26qtQEhNDcnBRkCUl+Bb8E7HNEEWpXEe5HLa+fUMyRFXB7SGwtG7LzVQ3ic3aGa7YBzzFLP38RfI2rUTzeylK38L8N+9jw/Rvos51wm2v0O60sah79IyFQA8G2Txrck2ZXyGO+GTiG7cyg2QTk3LYTzgBa/fuFatQBIP45s4J26R7PEijLn7BIHo0f26ArXfvkCRdVZCSwMqVVZ77aKBJbBMcamS3PInkt82/8k/GP3g1L/m+fL5Z9zUvLno+6lxnth7Fdd1vIMGWAISagehSZ9rWKQS0ipuV1AROi5Omcc2OiCAZzEDZpBS1Xj3qT5tC7JVXoDRqZBy0OhyojcPbVTrPPBPhMnDUmoYtymqylJLAunX4Fy1Glr46jLv5fyGljPLBns0W0nPeB+FwYOnQPmL70UzHkVcaNtFCSrRAZErGsi9fjloBr1ptqFbr3pQaqRP0lrDsy5fZNPPHarbcxMTkQBCKQspnE4m//z4sHTuGp8CVQ20U7rMdp5xiqFgk7HacQwZHPZ+2Kx3fv/+i54W6yDmHn4rauFH44ko0NSTA0rZtZZd0VNGv0fGGBW4SiV/zI8ut+ft1P/PT55Hpjq48VN9VH6/mLZsjKIP8tf1PXvvvleo3/ijDDJRNylDr1SPh/vtImz0LJSkpwvEKVcV19llh21xnn4W1cxdETOmTo6oiHA4Sn30GxWClI7h1K5kDTyHrtDPIvuhi0rv1wD15MpamTan/2y84R45AadAAa5cuJL78Usi5lg+WhQCHg5jzDm0awOGOLTZ+vzSp/SWFuHN3s+yrV/n51tP4/Z6z2fjnJKSuI3WdtT9PQPOFvxHQfB5WTqq7WpgmJkcawmYj9vKxNJg2BfvAARFvBIXTSdwN14dts7ZpTey4y0Mr0aU+XrhcOM8+C1v3yDoE3e0me+w4Mk44kZxLx5Deqw/5jz4GViupk38k9sorUBs3Rm3enPjbbiXmsstgX9/vcBB3yy3VeOV1H5tqw6bYDffJyMQYrIqVLQWbmbLlD275839cP+0aPl89EXcglHrz9dqvIpQv/LqfObtmU+Q35VYPBjNH2SQCYbeTMulbcq+5luDmzQhFQUlNIfmNN1CTk8OPtdlI+fZrvL/9jmfqVJR69Yi56EKsBqsHUtfJPv9CtJ07w4pJ8m69HWubtlg7dST5jdfDxjhPOpH8+x/E8+uvoVXqY48l8ZmnQ2kiJmUE3MUoFiuaQSGeERabgxmPj8Odvaus5fWij54ge81iel1+P0GfcdqM2RXPxOTwJPnNN8j73y14Z85EWCygqiQ8/BD2/pFtjRPuvw/HkMG4J30HmoZr1ChsBscB5N9zH75Zs8DnK3sD6P7kUywtWxJ76SUk3H8fCfffV3a81DREUiIl772PLCnB0rIlCY89UuV6laMJv171zqdBGWTK1j/CGn9MWv8tc3bN5qUBr5JRkm44zqJYyPPmEWeLqxabj0bMQNnEEGub1jSYPpXgzp0QCKA2bx5VB1FYLDhHnIFzxBkVzulfuBA9NzdS0igQoPjjj0l65umIMaGWqa+H0gSkRFQ1j/koIzatGRa7M2IVWJQWf5Qv9FPtThp0PY70pXPKgmQIrRhvmfMLHUddjVLBgIEAABZLSURBVCMxBU/u7ojzJDQzX5+amByOKHFx1PvoA7TcXPTcXCzNmyMMUtf2YO/bF3vfvhXOKT0ePD/9FFGwLT0eit9+h9hLL4kYI1SVhDtuJ/7220DTQkG7iSHdU3uwIH1+xAqyQIRtsypWWsa3Yknmf2Ed/AJ6gCx3FrN3/k275PZkejIjWk3rUtIgpkHNXsgRjpl6YVIhlsaNsbRoUS1i4XpOjnEenaaFpIQqQCiKGSRXgKKoHHvt46g2R1lwrNrsOBJT6Dn2XhyJqQhFxeqKo8tZ1yFUW0RQDaCoKjkbltLzsrv3FvOVotocHHPJXYfkekxMTA4MNTkZa5s2FQbJVUV3R1HUAPT8/ArHCiHMILkSxnW5ghhrDFYldK8swoJDdXBjj5toEd8SRShYFCsnNj6JQc1OQRGRIZtX87I0awkXdrgYm2JDsPc71q7aOa/9edhV4xQPk6ph/habHDJsvXohDaSDhNOJ/ZRBtWDRkUXjXgMZ9uTXrP1tIiVZO2jQ9XjanHIutph42g69CM3nKQ2kFZZ8/gLCYgnTxQ4hcCbVJ63LcVicsSz/+jWKd28nsVk7ul1wC6ntj6k2e6WUBEoKUW0OVJvpyE1MDjeU5GTU1BS0nbv22aFg79evdow6gkiLacgbp7zNb5t/YU3uGprGNWNE65GkxaQxpMUwfEEvFsWKqqj8l7nYcMHKIizUd9ancWxjnj/5RT5d9TGrcleTZE/knHbncXKTAdVqsyfoQUp5xChaVAVxuPbf7t27t1y4cGFtm2FyAPhXrKDgwYfxL16MiIsjdsxlxN16C8JioeDpZyj54AOku1yb1KZNSf3tF8PiP5OaoThzB7/eMTJsVVkIBVdKGiNenbpfhYEHwu4VC/jn3Ydw56QDgqbHDaXPVeOxOqooN3WYI4RYJKU8qjqjmD677qJlZ1Pw8Hg8v/8BgPO04SQ8Mh41ORnvjD/JvfqaUH6yroPVinA4qP/rL1hataxly48eNKlx1ZRxoU585dIy7KqdN095m1RX/Ro9f0ZJBi8vfpG1uWsAaJvUjlt63kaj2COjS25FPtsMlE2qleCWLWQOPTVMX1k4nTjOOJ3kl19CSol36lRKPpyAXlCA84zTiRk7BqWqepwm1UbGsrnMe+NuAp4S0HXim7TmxNtfJSa1ceWDD4KCHRv4477zwoJ0xWqjfsc+DLz//Ro996HCDJRN6grS72f3yQPRdu2CPW+YrFbUJk1o8NcMhMWCf8UKit98i+DGTdh69yL2+uvCWmObHBoySjJ4+p8n2FG0A0UoOC0ubut9B91Ta7Zrql/zc9WUcRT4CtAJ5UALBPG2eN4f+iF2S6QedF2jIp9tpl6YVCtFb72N3Kdbk/R48EyejHbfvaj16+McOhTn0KG1ZKHJHtK6Hc+ot2ZSlL4F1e4gJuXQrAys+XlCWBEhgB7wk7V6IUUZ24hLa3ZI7DAxMQHvlKmh+pHyaViBAHpmJt7p03EOG4atSxeS33yj9ow0ASAtJo2XB75GpjsTv+ajUWxjw7zl6mZ++jw8mrcsSIaQhJ1P8zFn1xwGNTulxm2oTcxiPpNqJbB8ORh0fRJ2B8FNm2rBIpOKEIpCfONWhyxIBijcucmw3bZitVKStfOQ2WFiYgKBdesMO6xKj4fg2nW1YJFJZdR31adJXNNDEiQD7HbvxheMbFfu1bzsdldciH8kYAbKJtWKtWMnw65+0ufD0qLFoTfI5LAjpf0xhu2otYCfhKZtasEiE5OjF0vrVoatqIXLiaV161qwyORwo1VCK+wG7bYdqpNWCa1qwaJDixkom1Qrsdddi7Dvo2DgcOAcNhQ1La12jDI5rGh/2piQ9Fy51RDV5qDVgNE4E1Nr0TITk6MP56mnoiQkhC9wWCwoiUk4hg6pPcNMDhuOqd+ThrENy2TsoFRtw5VK7wZ9atGyQ4MZKJtUK9Y2rUn56kus3bqCEAiXi5gxl5H0ysu1bZrJYYIruT7DnvqWJn0HY42JJya1Md0uvJXe4x6qbdNMTI46hN1O6k8/4hh8SihYtlhwDBlC6k8/VosWs0ndRxEKT53wDKe1PJ0EeyIJtgRObTmcZ056HlU58vsb1IjqhRCiHXADMBBoBRQB/wIPSimXVmUOs4K67iN1PRQsV0OzEhOTukRdU70wfbYJhLTNAdNnmxx1VOSza2pFeSghh/sxMAK4HkgFFgghzIbvRwlCUUyHa2JSNzB9tkmom57ps01MwqgpebgvgTdkueVqIcQMYAtwM3BZDZ3XxMTExGT/MX22iYmJiQE1EihLKbMNthUIIdYBpkq5iYmJyWGE6bNNTExMjDlkxXxCiGSgC7D6UJ3TxMTExOTAMH22iYmJyaFVvXgNEMDL0Q4QQlwthFgohFiYlZV1yAwzMTExMYnA9NkmJiZHPVUKlIUQg4UQsgr//ooy/l7gIuBGKeWGaOeRUr4rpewtpeydmmrqqZqYmJgcCKbPNjExMakeqpqjPBfoWIXj3PtuEEJcCzwJPCCl/HA/bDMxMakBAp4SvAU5uFLSUC222jbHpGYwfbaJyRFCUA+S5ckiwZaAy+qqbXOOOqoUKEsp3cCa/Z1cCHEp8CbwgpTyif0db1J3CG7ZQvGnE9F27MB+wgm4zjkbxemsbbNMyqEHAyz86HG2zPwRoaigCLqeeyMdTh9b26aZVDOmzzapDD0vj5IvvsS/ZAnW9u2JueRi1AYNatssk334ddMvfLJqArrU0aTGSU0GcH33G7CqZjOYQ0VNycMhhBgNfAS8L6W8o6bOY1L7eGfOJPeKq5DBIAQC+KbPoPidd6j/6y8o8fG1bZ5JKYs/eYYtsyajBXxl25Z99SrOxFSa9z+9SnMUZ+5E6hqxDZqaeqtHGKbPPnoI7thB1vDT0d1u8HrxTptO8XvvkTppEtbOnWrbPJNS5qfP46OVH+DT9vrsv3fMRAD/63lLlebI9+VT5C8kLSa8BbVJ1amRQFkIcRLwBbAMmCCEOK7cbp+U8r+aOK/JoUfqOnk334L0ePZu83jQdu6i+O13iL/rzlq0zmQPWsDPpj+/RfP7wrf7PKz87u1KA+WCHRuZ/dLNlGTuAASOhHr0v+VF6rXpVoNWmxwqTJ99dFHwyKPo+fmg66ENPh/S5yPvrrup/8tPtWqbyV6+XvtVWJAM4Nf9zNzxF1d1uwanJfpb25JACS8sfI6lWUtQhYoiFK7sejWDmw+pabOPOGpK9WIQYAeOAeYA88r9+76GzmlSCwQ3bUKWRKQ5gt+P5+efD71BJoYE3EVEa1fvya9YrUDz+5g+/lIKd2xC8/vQ/F5KsnYy4/Fx+IryasJck0OP6bOPInx/zdwbJJcjsHwZ0uczGGFSG+R4IuTNAVCEQrG/qMKxz/77NEsy/yOgB/BqXtxBN+8se4vlWctqwtQjmhoJlKWU46WUIsq/FjVxTpPaQThdSE0z3ueKOcTWmETDHpeE1RlrsEdQr3XXCsfuXDQDLeAHwgNtqWlsmW0+DB0JmD776EI4HMY7FBVU9dAaYxKVDskdEUSmuFkVK8mOelHHZXuyWZG9nKAMhm33aT6+2zCp2u080jmUOsomRyCWxo2wtm8f4VyFy0nM5WNrxyiTCISi0HPMvai2cl+QQqDaHXS/6LYKx7pzM9GDgYjtmt+LOyejuk01MTGpYVwXXQj7Bss2K87TT0NYaqx0yWQ/ubjjpdhVe1iwbFftXN75ClQl+gNNnjcvaj5yltvUO99fzL8Ik4Mm+f13yT73PPScHJAgg0Gco0bjOu/c2jbNpBwtTjgDe3wSKye9RXHmDpJbd6XbeTeR2KxdheNS2vVAqCqEL05gcbhI7dCrBi02MTGpCeJvu5XAypX45s0PBca6jqVdOxKfNIVODieaxTfjhQEv8fnqz1iTu5pUZyrntb+A3ml9KhzXNK4pmox806sKle6pPWrI2iMXM1A2OWgsjRvTYPbf+BcsQMvMxHbMMViaNatts0wMaNitPw279d+vMfXadKN+x95krvoXze8FQLXaiW/UikY9T64JM01MTGoQYbeTMvFTAmvWEFizBkvLlli7dTOVbA5DmsY14+6+9+7XGIfFwUUdLuHzNRPLigFVoeKyuDir7dk1YeYRjRkom1QLQlGw9+tX22aY1ABCCE668w3WT/mCjTO+RWoaLU4cQfvTx6BU8PrPxMTk8MbaoQPWDh1q2wyTGmB027NoFNuI79Z/S543j+71j+H89hdQzxk9t9nEGDNQNjExqRTFYqX9aZfR/rTLatsUExMTE5MqcGzD4zi24XGVH2hSIWYxn4mJiYmJiYmJiYkBZqBsYmJiYmJiYmJiYoAZKJuYmJiYmJiYmJgYYAbKJiYmJiYmJiYmJgaYgbKJiYmJiYmJiYmJAWagbGJiYmJiYmJiYmKAGSibmJiYmJiYmJiYGGAGyiYmJiYmJiYmJiYGmIGyiYmJiYmJiYmJiQFCSlnbNhgihCgC1ta2HTVMCpBd20bUMEf6NR7p1wfmNR4IzaWUqdU432GPECILKOHI/l0x/xaODI70azzSrw8Ooc8+nAPlhVLK3rVtR01iXmPd50i/PjCv0aTqHOmf45F+fWBe45HAkX59cGiv0Uy9MDExMTExMTExMTHADJRNTExMTExMTExMDDicA+V3a9uAQ4B5jXWfI/36wLxGk6pzpH+OR/r1gXmNRwJH+vXBIbzGwzZH2cTExMTExMTExKQ2OZxXlE1MTExMTExMTExqDTNQNjExMTExMTExMTHgsAmUhRBbhBDS4N+oKo4fJYT4TwjhFUJsFUI8IIRQa9jsKiGEaCeEeEUIsUwIUSyESBdCTBZCdK/i+AlRPpuXa9j0aPY0FUJ8K4QoEEIUCiG+E0I0q+JYhxDiudLPwCOEmCeEOKmmbd4fhBDnCCEmlf4eeYQQa4UQTwkh4qow1ug+SSFEj0NgepURQgyIYmd+FcbWhXv4VwX34vdKxtaJe1jbHMk+G44sv2367ArH1om/d9NnVzi2Ru+hpTomqUb+AMbvs63SpiNCiGHAJOAD4DbgGOBJIA64u3pNPCCGAgOBj4HFQCJwF7BACNFfSrmoCnNkASP32ZZenUZWBSGEC5gB+IAxgAQeB/4UQnSTUpZUMsUHwOnAncAm4AbgDyFEPynlkhozfP+4A9gG3AfsIPT7NB4YKIQ4XkqpVzJ+AvDOPtvWVbON1cX/gH/L/Ryswpi6cA+vB+L32dYPeBGYXIXxE6g797A2OVJ9Nhwhftv02abPpm7cw8PXZ0spD4t/wBZg4gGO/Q+Yuc+2hwA/kHYYXFsKpYWT5bYlAHnAJ1UYPwHYUdvXUWrLzYAGtCm3rSWhP9bbKhnbnZCTvrzcNguhL9bJtX1t5WxKNdh2WantgyoZK4HHa/saqnCNA0ptHbyf4+rEPYxi+weEgoXkI+Ee1va/I9lnl9pzRPht02ebPrsu3MMoth8WPvuwSb04UIQQTYEewMR9dn0KWIHhh9qmfZFSZsvSu1luWwGhp53GtWPVATMSmC+l3LBng5RyMzAHOLMKYwPAV+XGBoEvgWFCCHv1m7v/SCmzDDbveYKva/eruqkT93BfhBBO4FzgJyllbm3bczRTF3w2HFF+2/TZRzd14h7uy+Hksw+3QHmEEMIthPAJIeZXMdetc+l/V5TfWOoI3ECnaraxWhBCJANdgNVVHFJfCJEthAgKIdYJIe6upXy+zuzzWZeykso/687AZiml22CsDWhz8ObVGCeX/rcq9+u60t9htxBihhDixJo07CD5TAihCSFyhBCfVyFvsa7ew7MIvdb/uIrH16V7WJscNT4b6qzfNn125dSlv3fTZxtTY/fwcMpR/onQE+BmoAFwI/C9EOJSKeW+Kw/lSS79b57Bvrxy+w83XgME8HIVjl0CLCL0i+0ARgNPAW2BK2vGvKgkY/xZ5wJJBzF2z/7DDiFEY+BRYJqUcmElh08EfgZ2Ac0J5YTNEEIMkVL+VaOG7h8FwAvATKCQUE7ffcA8IcQxUsrMKOPq5D0k9Bo2E/itCsfWlXtY2xxtPhvqpt82fXbF1JW/d9NnR6dm72EN5ZUMJpQzUtm/vyqYQyXkhLdXcq6LS+dqb7BvJ/DB4XZ9wL2l+8cdhA0vlc7RtibuYQXn9QNPGWx/AghWMnYqMM9g+5DSaznxUF5LFa83FlhY+gfY5ADGxwFbgdm1fS1VsLUnobzFqLledfQeNiKUo/niAY6vM/fwID6jI9pnV8c11lW/bfrs/R5fZ/7eTZ99aO5hTa0ozwU6VuG4fV8FlCGl1IQQ3wDPCCEaSimjVQpX9FSUWG5/dXLA1yeEuJZQdfcDUsoPD8KGL4BbgN7A+oOYZ3+JtuKThPFTa3lyAaPXREnl9h82CCEchKptWwEnSyl37O8cUsoiIcQvwBXVbV91I6VcLIRYB/Sp4LA6dQ9LuYRQmllVX+GFUZfu4UFwpPtsOHr9tumz94O69Pdu+mxjqvse1kigLEO5MGuqYSqxZ8oKjllZ+t/OwLyygUK0AFzAqmqwI4wDvT4hxKXAm8ALUsonDtKMqnw2NcFK9uYYlqcTlX/WK4HRQgiXDM+X6kRo1WOD8bBDjxDCSki+qi+hKuPlBzMdh/4+HSiV2Vpn7mE5LgOWSimXHsQcdeke7jdHus+Go9pvmz77AKaj7vy9mz7bmGq7h4dbMV8ZQggLoYrHbVLKjGjHSSm3AUsJvc4rzyWEKj2rkt9S4wghRgMfAe9LKe+ohikvIvRL8G9lB1Yzk4HjhBCt9mwo/YLrT+Vah5MJVbWfW26sBTgfmCKl9FW7tQeAEEIBPgNOAc6UUs4/iLniCelXLqgm82oMIURvoB0V21on7uEeSq+pMwe4MlE6R525h7XJkeaz4Yjx26bP3r+56szfu+mzo85RvfewtnNRSvNJLiQkVXIZIYH3C4C/CTmUC/Y5djqwYZ9tpwE6IbHpAcCtgBd4rravrdS+k0rtWQwcDxxX7t8xFV0focT0WYTEuIcCI4APS6/3rVq4lhhCT6DLCUkLjST0pbcJiN3H7iDw0D7jvyT0uu9KQk7t29LPpmdt36dyNr7FXlH+4/b51yTa9RESvX+P0JfhAELi/ssJPbUfVnlghL5UHidUWTwIuB3IJiTan1LX72E5W18lFHw1MNhXp+9hLX+uR7TPLrXxiPDbps82fXZduIflbD3sfHatfyilF3ococ5Bu0s/oAJgGjDM4Ni/gC0G288q/eP3lf7iPASotX1tpbaNJ3rhyJZ9jg27PkK5ZT8QSkz3Ah5CjvtGQKml62lG6BVXIVBUal+LfY5pUXp94/fZ7iTUaSej9HoWAANq+x7tY+OWCu7X+GjXR+jLcE6p8woAOYSe5vvW9jUZXOO9wLLSv7UAsB14F2h4JNzDUjuthDqj/RRlf52+h7X82R7RPrvUviPGb5s+u+7/vZs+u/buoSg9kYmJiYmJiYmJiYlJOQ7bHGUTExMTExMTExOT2sQMlE1MTExMTExMTEwMMANlExMTExMTExMTEwPMQNnExMTExMTExMTEADNQNjExMTExMTExMTHADJRNTExMTExMTExMDDADZRMTExMTExMTExMDzEDZxMTExMTExMTExID/A7lkHi03LlGPAAAAAElFTkSuQmCC\n",
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gcfyrX/0qcnJy8IMf/ACPHj1CY2MjsrKy8IUvfAF/+qd/at7ChIiIiHyLuZ6IiGjl3HIH3F9wRJyIiPwNc5P78T0lIiJ/4kpe8tkacCIiIiIiIqL1hAU4ERERERERkRewACciIiIiIiLyArc0YSMi/7WwsIDOzk7Mz88jJCQEmZmZkMvlvg6LiIiI3MRoNKKnpwdTU1OQy+XIyMhASEiIr8MiIitYgBOtUaIoorq6GlVVVTAajRAEAaIo4sGDB9i+fTuKiop8HSIRERGtUF9fH27fvg2NRmPO9Y8ePUJeXh727NkDqVTq6xCJ6DWcgk60Rr18+RLPnz+H0WgEsFiQA4Ber8eDBw/Q2trqy/CIiIhohUZGRnD16lVoNBoAv8n1ANDa2oq7d+/6KjQisoEFONEapNPpUFVVZfecZ8+emYtzIiIiWn1evHhh93h7ezsmJye9FA0ROYMFONEa1NfXB71eb/ecubk5jI6OeikiIiIicqeFhQX09/db3PV+kyAI6Ojo8GJUROQIC3CiNWhhYcGt5xEREZF/0Wq1Ds8RBIG5nsjPsAAnWoPCwsKcOi80NNTDkRAREZEnBAYGOmywZjQanf5OQETewQKcaA1KSkqyu/2IIAiIjY1FVFSUF6MiIiIid5HJZMjNzYUgCDbPkUgkyM3N9WJUROQIC3CiNUgQBOzduxeCICxJzIIgQCKRYPfu3T6KjoiIiNxh06ZNCAwMtFmEb9++HUql0stREZE9LMCJ1qiUlBS8/fbbiI2NtXg8KSkJZ86cWfI4ERERrS7BwcE4d+4csrKyLIrwsLAwHDx4ECUlJT6MjoisEUR7rRNXGbVajfDwcKhUKq53IXqNWq2GRqNBUFCQ3anpROR+zE3ux/eUaCmNRgO1Wg25XI6IiAi7U9OJyL1cyUsyL8VERD4UFhbGL6lERERrmFKp5HRzolWAU9CJiIiIiIiIvIB3wFeR0dFR1NbWoq+vD6IoIi4uDiUlJUhPT+c0IyIiojVgZmYG9fX1aGtrg1arRWhoKIqKilBQUACZjF/biIhWO36SrxKtra24c+cOBEGAadn+0NAQBgcHUVZWhm3btrEIJyIiWsUmJiZw8eJFaLVac66fmprCo0eP0N7ejpMnT0Iul/s4SiIiWglOQV8F1Go17t69CwB4vWee6b9ra2vR29vrk9iIiIho5URRxPXr1y2K79eNjY2hsrLSB5EREZE7sQBfBZqamuweFwQB9fX1XoqGiIiI3G1wcBAqlcpq8Q0sFujNzc3Q6XRejoyIiNyJBfgqMDIyYjMhA4tJeXR01IsRERERkTuNjY05XEqm1+sxNTXlnYCIiMgjWICvAhKJ4z8mrv8mIiJavZzN48z3RESrGwvwVSAtLc3ucUEQHJ5DRERE/islJcXubDcACAwMRFRUlJciIiIiT2ABvgrk5eUhICDA7qh3aWmpFyMiIiIid4qOjkZycrLdXF9eXu7UrDgiIvJf/BRfBZRKJU6cOLFk6xFBECAIAg4cOIDY2FgfRUdERETucOjQIfMdblMhbvp3QUEBB9uJiNYA7gO+SsTFxeELX/gCWltb0dfXB6PRiPj4eBQWFiIkJMTX4REREdEKKZVKnDt3Dt3d3ejo6MD8/DzCw8NRWFiIuLg4X4dHRERuwAJ8FVEoFCgtLeUIOBER0RolkUiQlZWFrKwsX4dCREQewCnoRERERERERF7AApyIiIiIiIjIC1iAExEREREREXkBC3AiIiIiIiIiL2ABTkREREREROQFLMCJiIiIiIiIvIAFOBEREREREZEXsAAnIiIiIiIi8gIW4ERERERERERewAKciIiIiIiIyAtYgBMRERERERF5AQtwIiIiIiIiIi9gAU5ERERERETkBSzAiYiIiIiIiLyABTgRERERERGRF7AAJyIiIiIiIvICFuBEREREREREXsACnIiIiIiIiMgLWIATEREREREReYHPC/DR0VH81//6X1FcXIygoCAolUpkZ2fjP//n/4z29nZfh0dEREQrxFxPRES0SBBFUfTVxVtaWrB3716Mjo5CLpcjKysLcrkc7e3t0Gg0CAoKwpUrV7Bv3z6nXk+tViM8PBwqlQphYWEejp6IiMix9Z6b3J3rAb6nRETkX1zJSz69A/6Hf/iHGB0dxa5du9DZ2Ynm5mbU1dWhv78fp0+fxtzcHH77t38bPhwjICIiohVgriciIvoNn90Bn5ubQ2hoKIxGI2pra1FaWmpxfHJyEtHR0RBFEY2NjSgsLHT4mhwRJyIif7Oec5Mncj2wvt9TIiLyP67kJZmXYlpCq9XCaDQCALKyspYcj4yMRFRUFMbHx6HX670dHtGyDAwMoK6uDsPDwxAEAcnJySgtLUV8fLyvQyMi8jrmelqLVCoV6urq0NXVBb1ej6ioKBQXFyM7OxuCIPg6PCLycz6bgh4REYHU1FQAwKNHj5Ycb2lpwfj4OCIiIpCbm+vt8IhcVlVVhcuXL6Ovrw9arRYLCwvo6urChQsX0NTU5OvwiIi8jrme1prBwUH86le/QlNTE+bn56HT6TA6Oopbt27h5s2b5gEnIiJbfLoG/M///M8BAL/zO7+DDz/8EOPj41CpVLh27RrOnj0LQRDwl3/5l1Aqlb4Mk8ihoaEhPH/+HAAs1jGa/vv+/fuYnJz0SWxERL7EXE9rhU6nw2effQaDwWA113d2dqKxsdFX4RHRKuGzKegA8NWvfhUhISH4/ve/j3fffdfiWFlZGa5cuYLjx4/bfP7CwgIWFhbMP6vVao/FSmRPfX09BEGw2URIEAQ0NjZi165dXo6MiMi3VprrAeZ78g8dHR3QarV2z6mvr0dxcTGnohORTT69Ay6KIjo7OzE+Pg6pVIqcnBwUFRUhICAA9fX1+PGPf4yJiQmbz//BD36A8PBw8z+maW5E3jYyMmK3g68oihgaGvJiRERE/mGluR5gvif/MDo66rCwVqvVDot0IlrffFqA//7v/z6+9a1vITU1Fe3t7Whra0NDQwP6+vpw4sQJfPzxxzhw4AAMBoPV53/729+GSqUy/9PX1+fl34BokTMj3RKJT/93IyLyiZXmeoD5nvyDs3e1efebiOzxWUXw8uVL/OQnP4FcLsfPf/5zZGRkmI/FxcXhZz/7GWJiYlBbW4tf/vKXVl9DoVAgLCzM4h8iX0hLS7ObcAVBQFpamhcjIiLyPXfkeoD5nvxDSkqK3dlugiAgNjYWAQEBXoyKiFYbnxXgDx8+hCiKyMvLszqVLCwsDFu3bgUAc3MrIn9VXFxs97hEInF6f1siorWCuZ7WkvT0dISGhtoccBdFEeXl5V6OiohWG58V4NPT0w7PMY0yajQaT4dDtCJRUVE4dOgQJBKJRWIWBAFSqRTHjx9HcHCwDyMkIvI+5npaSyQSCd566y0EBgZaPG7K+5s3b7a63z0R0et81gXdtN9na2sr+vr6loyMq9VqVFZWAgDy8vK8Hh+Rq7KyshAXF4empiYMDQ1BEAQkJyejoKAAQUFBvg6PiMjrmOtprYmIiMD777+PtrY2dHd3Q6fTITo6GoWFhYiOjvZ1eES0CgiivcUsHjQzM4PMzEy8evUKO3fuxM9+9jPz2rDR0VF87Wtfw6VLl6BUKtHe3o7k5GSHr6lWqxEeHg6VSsX1YURE5BfWc27yRK4H1vd7SkRE/seVvOSzO+AhISH4l3/5F7zzzjt49OgRcnJykJWVBblcjvb2dmi1WshkMvzDP/yD0wmZyBVqtRqzs7MIDAxERESEr8MhIlpzmOvJ1zQaDaampiCVShEdHc0dSYjI53xWgAPAW2+9hZcvX+Kv//qvcevWLfT29kIURSQmJmLv3r34oz/6I1RUVPgyRFqDxsbG8PjxYwwPD5sfi46OxrZt25CSkuLDyIiI1h7mevIFjUaDJ0+eoL29HUajEQAQGBiIDRs2oKSkhFuFEZHP+GwKuidwSho5MjY2hl//+tcwGo1LthIRBAFHjx5Fenq6j6IjorWIucn9+J6SPVqtFh9//DHUarXVbcNKS0uxY8cOH0RGRGvVqpiCTraJooihoSEMDg7CaDQiISEBKSkpnDblBg8fPrRafAOL7/v9+/eRmprK95qIiDxOpVKhq6sLCwsLCA8PR1ZWFveQdoO6ujqbxbfpeH5+PqKiorwcGRERC3C/MzMzg2vXrmF8fNw8PaqmpgYhISE4duwYO2yuwOTkJEZHR+2eMzc3h4GBAav71RIREbmDwWDAvXv30NbWBkEQIAgCjEYjHj16hN27d7Mj/Ao1NjbaLL6BxRlvLS0tvAtORD7B23x+RK/X4+LFi5iYmACweEfWlEBmZ2dx6dIlzM3N+TLEVc2Z/WhdOY+IiGg57t+/j7a2NgCLud60Rlmv1+POnTvo7e31ZXirmtFoxPz8vN1zRFFkricin2EB7kfa29sxPT1tc3q0VqtFQ0ODDyJbG5RKpVPnKRQKD0dCRETrlVqtRmtrq91znj9/7qVo1h5BECCT2Z/gKQgCcz0R+QwLcD/S3t5u97goig7PIdtiY2MREhJi9xyZTIa0tDQvRUREROtNV1eXww7cr1694h3aZRIEAbm5uXbfY1EUkZOT48WoiIh+gwW4H1lYWHB4jlar9UIka5MgCNi2bZvdcyoqKiCXy70UERERrTdardapLbCY75evvLwcMpnM6vssCAKSkpKQlJTkg8iIiNiEza9ERkZiYmLCZuMQQRAQHh7u5aj8gyiKGBgYwMTEhPkutaO72dZkZ2dDr9fj0aNH0Ol0EAQBoihCKpWioqIC5eXlHojeN6anpzEwMACj0Yi4uDjExMT4OiQionUvPDzcvObbFkEQlpXj1oKJiQkMDg5CFEXEx8cjLi7O5dcICwvDqVOncOPGDajVanOuB4CMjAzs379/zewDrtVq0dvbi4WFBYSFhSE5OZk7uRD5ORbgfqSwsNDuFHNRFFFcXOzFiPzDyMgIbt68iZmZGXMSNU0x2717t8O1Xm/Kz89HdnY2uru7MTs7C6VSiczMzDWz9YtWq8Xdu3fR1dVl8XhsbCwOHTrEPXOJiHwoKysLDx8+hE6ns3pcEARkZ2evuzXK8/PzuHnzJgYHBwHAnO+Xm7tiYmLw/vvvY3BwEOPj45BIJEhLS1szOVAURdTU1KC6uhp6vd78eFBQEPbu3cvldER+jENkfiQhIQGFhYU2j6empiI7O9uLEfnexMQELl26hNnZWQAwj2CLooi2tjbcvn17Wa8rk8mQk5OD8vJy5Ofnr5ni22g04urVq+ju7l5y7NWrV7hw4YLD7rBEROQ5MpkM+/btA4Ald2EFQUBgYKDD5VJrjV6vx6VLlzA0NGR+zJTvX716hYsXL0Kj0bj8uoIgIDk5GWVlZSgpKVkzxTcAVFdXo7Ky0qL4Bha3U7127RoGBgZ8FBkROcIC3I8IgoDdu3dj586dCA4ONj+uUCiwadMmHD16dN1NK6qurobRaLTZGb6rqwuvXr3yQWT+qa+vD8PDwzbfL41Gw076REQ+lpWVhRMnTiA2Ntb8mEQiQU5ODs6dO2fxHWA96OjowOTkpM3cNTs7i+bmZh9E5p8WFhZQVVVl87goinj27JkXIyIiV3AKup8RBAElJSUoKioyb0kWFha27gpvADAYDOjq6rK5Jh5YfL/a29u5vvk/tLW1Wax1e5MoimhpacHmzZu9HBkREb0uJSUFKSkpmJ2dhVarRXBw8JqZjeUq057o9rS2tmLDhg2eD2YV6OrqcthHYGxsDCqVat32DiLyZyzA/ZREIln3H5o6nc5hggGwrGlpa9Xc3JzdAQuA7xcRkT8JDg5ed3e83+RMXmLu+o35+Xm7g+0mGo1m3X+XJPJHLMDJr8zPz6O5uRnd3d3Q6/VOJZjQ0FAvRef/QkNDMTIyYvc9W+9f9IiIyLcMBgM6OjrQ2tqK+fl5p4pr5vrfCAkJcfjdCGC+J/JXLMDJb4yOjuLKlSsu7X0qiiLy8vI8GNXqkp+f73AqX1FRkZeiISIisqTRaHD58mWMj487NchuYq9J7XqTmZmJ+/fvL2nAZmLa63y9bmVH5O/W38Ji8ks6nQ6ffvqpzW1ZbKmoqOCo+GsSExORlZVl9ZggCIiMjERBQYGXoyIiIlp09+5dTExMAIBTxbcgCEhISEBubq6nQ1s1ZDIZdu7cafWYIAiQSCTrrpM+0WrCO+DkF9rb27GwsOD0+UFBQaioqOCI+BsEQcDBgwcRFhaG+vp68+i4aV/ZnTt3rtsmP0RE5FtqtRo9PT1Ony+VSlFQUIBt27ZBKpV6MLLVp6CgADKZDM+ePcPMzIz58djYWOzevZvNaYn8GAtw8gvO7lf59ttvQy6XIzo6el12hneGRCLB1q1bsXHjRoyNjcFoNCI6OhqBgYG+Do2IiNaxwcFBp87bsWMHYmNjERUVxUFjO3JycpCdnY2xsTEsLCwgNDQUERERvg6LiBxgAU6rSkJCAgtvJ8nlciQlJfk6DCIiIpdEREQgISHB12GsCoIgIC4uztdhEJELWMmQX3CUaE0JhsU3ERHR6hQfH+/wHIlEgtjYWC9EQ0TkG6xmyCs0Gg2GhoYwOjpqdW/v3NxcyOVym88XRRGlpaWeDJGIiIhWQK/XY2RkBMPDw1Z3NImMjERSUhIEQbD6fEEQkJOTA6VS6elQiYh8hlPQyaPm5ubw+PFjdHZ2mrudBgYGYsOGDSgpKTEnYYVCgaNHj+Lq1aswGo3mc01blJSWltrs7r1aTExMoKurCzqdDhEREcjOzrY76EBERLQaGI1GVFdXo66uzlx4S6VS5OXlYdu2bRbruA8ePIhf//rXUKvVS14nJibGZnfv1WJ+fh7t7e2YnZ2FUqlETk4OtwMjIguC6OwGjKuAWq1GeHg4VCoVwsLCfB3OuqfRaPDxxx9jZmbG6lYjZWVl2L59u8VjarUaDQ0N6O7uhsFgQExMDEpKSpCcnGxzxNzf6XQ63L59G93d3RAEAYIgwGg0QiaTYf/+/at+YIGI7GNucj++p/5DFEXcunULHR0dS44JgoCYmBicOnUKMtlv7vlotVq0tLSgpaUF8/PzCAkJQWFhIXJycizOW01EUURNTQ2eP38OURQhkUggiqL5JsL27dtX7fcYInLMlby0Oj/laFWora21WXybjhcUFFh07AwLC8OOHTuwY8cOL0XpeTdv3kRfXx8AmJMxsDhV7+bNm1AqlWyWRkREq9LQ0JDV4htYzHljY2NoaWlBcXGx+fGAgACUlpauqaVlTU1NqKysNP/8+nK7uro6yOVybN682RehEZGf4Rpw8ghRFNHU1GSz+AYWR8ZbWlq8GJX3vXr1Cr29vXbfh6qqKi9GRERE5D7Nzc0O7+w2NjZ6KRrfMBqNeP78ud1zXr58aXVdPBGtPyzAySMMBgMWFhYcnjc9Pe2FaHynq6vL7hcTURQxODgIjUbjxaiIiIjcQ61W2x1kBoCZmRkvReMbw8PDDvO4wWAwz4YjovWNBTh5hFQqhVQqdXjeWu90qtVqnVrzpdPpvBANERGReymVSod5TqFQeCka33A2hzPXExHAApw8xLSViKO7vzk5Oeaf5+bmMDg4aHOrstUoIiLC4e8ik8kQFBTkpYiIiIjcJzc31+Fys7y8PPPPOp0Ow8PDGBoaWjNTssPDw916HhGtbWzCRh4xPT1td4stQRCQkpKC+Ph4zMzM4NGjR+jp6TEn8aCgIFRUVKCwsHBVdw3NycnBkydPYDAYrB4XBAH5+flOzRYg99NqtZiYmIBEIkFUVNSq7b5LROQLWq0WGo0GCoXC6rIzQRCgVCpRXFwMg8GA58+fo6GhAXq9HsDibLmCggJs27ZtVX/+RkREICEhASMjI1YHIwRBQGhoKBISEnwQHRmNRoyPj8NgMCAiImLNz74k/7d6P+3IL4miiKdPn6K2ttZu4ZydnY29e/difn4en3zyCebn5y2S1tzcHB48eID5+Xls2rTJG6F7hEKhwO7du3H37t0lx0wJeTX/fquVTqfD06dP0dLSYh4cCQgIQElJCSoqKiCRcHIQEZE9XV1duH37NvR6vc18HxUVhcOHD0OhUOCzzz5Db2+vxXGDwYDGxkaMj4/j5MmTq3owevfu3bhw4QL0er3F9xnT9qP79+9f1TcUViNRFNHY2Ijq6mrMzc0BWPzzyMrKwo4dOzj7kHyGBTi5VU1NDWprawHA6ihwamoqdu/ejdDQUADAkydPlhTfr3vx4gXy8/MREhLiuaA9LD8/H4GBgaiqqsLo6CiAxVH//Px8bN68mSOxXqbX63H58mWMjY1Z/L3TarWoqqrC1NQUDh06xC9KREQ2jIyM4MaNG+bP0DdzeHBwMA4dOoT4+HgIgoDu7u4lxbeJKIoYHh5GR0eHxVT11SYqKgrnzp3D8+fP0dXVZX5PUlNTsXnzZsTExPg4wvWnsrISNTU1Fo+JoojOzk6Mjo7i3Llz/A5GPsECfB0wGAzo6upCX18fDAYDYmNjkZ+f7/YPHb1ev+SD7k1DQ0Pm6xoMBrS2tjpcO9ba2oqKigp3hup1aWlpSEtLw9zcHHQ6HYKDg1f1dLvVrLW11TwQYk1nZycKCgqQkpLixaiIiFbGVMi2t7djYWEBISEhyM/PR2RkpNuvVV1dbff47OwsDAaDeSDTtFWZvXzf1NS0qgtwYHEq+uHDh6HVajE3NwelUskCz0fUarXN76SiKGJmZgY1NTXYvn27dwMjAgvwNW9qagqXL1/G7OysORF2dnbi+fPnOHjwIDIzM912rcHBQYcdPk1F+ujoKEZGRszrwOxZbduXaLVatLa2orW1FfPz8wgJCUFhYSGys7M53ckPNDU12T0uCAKam5tZgBPRqqHX63H9+nX09fWZC11BEFBbW4uysjJs27bNbbN6DAaDzbvZJqbP0Y6ODnR2djrVbG21bUsqiiJ6enrQ2NiIyclJBAQEIDs7G4WFhQgMDERAQICvQ1zXHA36iKKI5uZmt/6/QeQsFuBrmF6vx6VLlzA/Pw/AcoqYwWDAjRs3cO7cObdNi3KmmAYWR84djYS/bjWNHs/NzeHixYtQqVTmx2ZnZzEyMoKmpiacOHHCbnM68jxHX/JEUYRarfZSNEREK3fv3j309/cDwJJp4bW1tQgKCkJZWZlbrmWrqeibOjo61myuNxqNuH37tsXvODs7ixcvXqCurg6nTp1CVFSUr8Nc15y5eaPVaqHT6ThYQl7HTkNrWHt7O+bm5uwmP9N6bXeIiIhw+lxnE/KbW5X5u1u3btks3kZHR/H48WMvR0RvcmY/2sDAQC9EQkS0ctPT02hvb7ebV1++fOm27T3lcrnDz0hba8PtWU3Tz+vr69HR0QHA8ncURRFarRZXr15dM9uprlbO5HqJRMLlgOQTLMDXsJ6eHrvHRVFEd3e3264XFRWFuLg4t07lyc7OXjWjyJOTkxgcHLQ73am1tdXqVi2eoNVq0djYiLt37+L+/fvo7u7mFwIsfslz9Hc0NzfXS9EQEa1MX1+fw3Pm5+fx6tUrt1xPEAQUFRW5LdcLgoCQkBAUFBS45fU8zWg02r15YVpf7Myfi7vi6e3txf3793H37l00NDSsmf3VVyInJ8dhj6Hs7GzuekI+wWGfNcyZaWLuLsj27t2LX//619DpdEu24XBlJNy0P/auXbvcGp8nDQ8POzzHaDRibGzM4+uL+/v7cf36deh0OvOXpKamJoSFheHEiRMICwvz6PX9WVFRERobG6HRaJb8nRQEAZGRkW7tjUBE5EmmZmeOcqyzU8edUVZWht7eXrx69WpFuR4A4uLicOjQoVUzDXh2dta8pZUtEokEQ0NDSE9P92gsMzMzuHLlCqampsy5vqWlBU+fPsXBgweRkZHh0ev7s7i4OKSlpaGvr89qrpdKpdi4caOPoqP1jsM+a1hMTIzDEWp33102bcPx+qiiaZTRmfVdISEh2LNnD770pS9h7969q2pPUH9p4jE5OYmrV6+aG+KJomhOPtPT07h06ZLT6/XXosDAQJw+fdr8d//1P7ekpKRVvxctEa0v0dHRDoteQRBcWibmiFwux9tvv40NGzZYTPWNi4tDSkqKU/lw27ZteOedd3DmzJlVvdWoLZ7+TmA0GnH58mVzz5nXc72pKZ+7Zj2sRoIg4PDhw8jOzrZ4DFj8rvn222+79f8JIlfwDvgaVlBQgJcvX9o9p6SkxKnXmp6ehkqlglwuR2xsrN0pO+Hh4Th48CD27t0LjUYDhUIBuVyOBw8eoKmpyeYXBUEQUFBQgMLCQqdi8jeJiYkOz5FKpYiLi/NoHLW1tXanwc/MzKCjowP5+fkejcOfhYeH45133sHY2BiGh4chkUiQnJzske16iIg8KTExEWFhYZienrb62S8IArKyspzqbbGwsIBXr15BEATExMTYvSstl8uxZcsWbNq0CfPz85BKpVAqlejq6jI3hLNGEATExcWhvLzcuV/Qz4SEhCAkJMRuky+j0ejUd4KV6O7utmj4as3Lly9x6NAhj8bhz2QyGQ4ePIitW7eip6cHBoMBUVFRSE5O9pubJrQ+sQBfw8LCwrBr1y48ePDA6rSw7Oxsh2tdVSoVHjx4gIGBAfNjQUFB2LRpk8NCWSaTWYxqFxcX290CSiqVrpo1YNaEh4cjNTUV/f39Nr8EFRQUeHyaXVdXl8O7Id3d3eu6AAd+8yXQ0wMiRESeZLrTd/HiRej1+iVTwkNDQ7Fz5067r6HX6/HkyRO0tLSYp6qbcvK2bdvsNqqSSCQIDg42/5yeno7Q0FDMzMxYzUWiKK7a4htYfE/Lysrw6NEjm8dDQ0ORmprq0Ti6u7sdbrNl+j6w3ovNkJAQFBcX+zoMIjNOQV/jioqKcPLkSSQnJ5sfi4iIwJ49e3Dw4EG7H8pqtRqffPIJBgcHLR6fm5vD/fv3UVNT41IskZGROHLkCCQSyZLryuVyvPXWW6t+n+wDBw4smdJk+l0TExOxbds2j8fgzDo/R/u1ExHR6hETE4Pz58+joKDAvIRGoVCgvLwcZ8+etXv322g04sqVK2hqarLIHwaDAY2NjS539JZIJDhx4sSSfG7Khdu2bVv1a5OLi4vNg9hvfp9RKpU4fvy4x4veNwdbrGHjVSL/xDvg60BycjKSk5NhNBohiqLT61ufP38OrVZr8wO+srISeXl5LhXNGRkZ+MIXvoDm5mYMDw9DEAQkJycjPz9/Ve0BaotSqcS5c+fQ3t6O1tZWzM/PIzQ0FAUFBcjIyPBKt83IyEi7674EQUB0dLTH4yAiIu8JCwvDnj17sHv3bhgMBkilUqeKwI6ODptNREVRxODgILq6uizW0joSHh6O999/Hx0dHejq6oJer0dUVBSKiorWxLpbQRCwd+9eZGdno6mpCRMTEwgICEB2djby8/Od2gJrpSIjI9HT02O3CI+IiFj3d7+J/BEL8HXEleJPp9Oho6PD4ehqe3s7ysrKbL6GqTNnVFSU+frBwcHYtGmT84GvMjKZDAUFBT6bTl9cXIy7d+/aPC6K4qpdZ09ERPYJguDS3sZNTU12pzILgoDm5mabBbgoipicnIRer0d4eLi5+JTJZMjPz1+zy50EQUBKSorHdzWxpaCgwOFMRE67JvJPLMDJqvn5eae6qlprQqLX61FZWYmmpiZzt22lUonS0lKUl5c7HAjQaDRobm5Ge3s7FhYWEBERgaKiImRkZFgdydXr9RgYGIBOp0NERARiYmJc+E3XntzcXPT09Njc433btm1r4g4EERGtnK3mbSaiKGJ6etrq483NzaiqqsLs7CyAxYH+nJwcbN++3eGsNqPRiM7OTjQ1NUGtVkOpVCIvLw/5+flWe6WIooiRkRHMzMxAqVQiKSlpXe/hbFrb//DhQ6sDKCkpKRxsJ/JTLMDJKmemT4miuCTBGgwGXLlyBSMjIxbJQKPRoLKyElNTU9i/f7/NKVFTU1O4ePEi5ufnzY/Nzc1hYGAAGRkZOHz4sDnhiqKIly9forq62mJNc1RUFPbv379uC3GJRILDhw+joaEB9fX15i9OcXFx2LBhw6pfe0dERO4TGBhoLqDtnfOmFy9eoKqqyuIxo9GItrY2jIyM4OzZsza/S+j1ely9ehWDg4Pm4nF2dhaPHz9GfX09Tp06ZdHEta+vDw8ePLAYCFAqldi+fTvy8vJc+XXXlOLiYoSGhqKmpsa8jCA4OBglJSUoLS1d1wMURP6MBThZpVAokJaWhr6+PrsdNnNyciwea21ttbmWDADa2tqQn5+PpKQkq6/32WefQaPRLHkcWOz4WVNTg4qKCgCLa9CtTb+amJjAxx9/jLffftvj24D4K4lEgtLSUpSUlECr1UIikUAul/s6LCIi8jP5+fkO94t+s8hVq9VLim8TURShVqvx8uVLbN261eo5lZWVGBoaMp//upmZGdy8eRNnzpwBAPT39+Pq1atLztNoNLhz5w5UKhW2bNliN/61LC0tDWlpadDpdDAajQgICOC6byI/5xdDYwaDAT/5yU+wb98+xMTEQKlUIj09HWfPnsWFCxd8Hd66tXnzZrsf4gEBAbh69SoePXpk3ouysbHR7mua1pJZMzAwgKmpKbtT4err62E0GjE7O2t3j3NRFHHlyhWLO+nrkSAI5n3YVwOdToempiZcvHgRH374IW7duoXh4WGHyyGIyP8x1/unvLw8hIeH28z3EokENTU1uH79OgYHByGKIlpaWux+PxBFEU1NTVY/u02f8/YG90dGRvDq1SuIoojHjx/bzQHV1dV29x1fL+RyORQKxaoovkVRRG9vLz777DN8+OGHuHLlCtrb253axYVoLfD5HfDJyUmcOHECT548gSAIyMvLQ0ZGBgYHB3HhwgXIZDLzKCh5V0xMDE6ePInbt29bXeut1Wqh1WqhUqnQ0NCAw4cPW10n9jpRFM3F+ptMXdHtJVqNRgOVSoXe3l6H8RsMBjx79gz79u1zeC753vT0NC5evGjxd21iYgLt7e0oKirCrl27VsUXCyJairnef8nlcpw6dQq3bt1asu0osDitfHp6GjMzM+jq6kJJSQnm5uYcvu7CwgL0ev2SAeDx8XFzfxh7hoaGIAgCJicnHZ5769YtfOUrX2GOWAUMBgOuX7+O3t5e83c+QRDQ39+P6OhonDx5ck3sikNkj08LcKPRiNOnT+PJkyd455138KMf/ciim2R/fz86Ozt9GCElJibiC1/4AgYHB9HX14fa2tol55gK5ps3b0KpVEKr1dp9zZV+sAqC4FTyBxa7tO/atcvcEdY0uursVmzkHaIo4urVq0vWIZr+bjU2Npq3sCGi1YW53v8FBQXh7bffxuTkJAYGBlBZWblkn2nTf9fX11tdRvYmiUSyolzrSq7XaDQYGhoyx2U0GmE0Gp3eio28p7Ky0nwTxfR3yvTviYkJ3LlzB8ePH/dZfETe4NMC/Mc//jEePHiAAwcO4IMPPljSLMKX2zvQb5j26m5tbbV7h1oURYSGhjrsoP7munGTpKQkm2vKTAIDAxEWFoagoCCnpiUbDAbMz89jbGwMtbW1GB0dBQBER0ejrKwMOTk5TM5+YHBw0OFdjpqaGhQWFvLPi2iVYa5fPSIjI/Hq1SuLxqbWOOqcLggCsrOzrTYBi46Ohkwmc3gX3NUeLiqVCgEBAaipqUFXVxdEUURgYCCKi4tRWlq6apZirWU6nc7uUkXT1HSVSoXw8HAvRkbkXT4twH/0ox8BAL7//e+zU+MqMDAw4HCrEp1OB4VCgYWFhSXnCoKAiIgIZGVlWX1+YmIiIiMj7a4DN3X1zMnJwdOnT52Ku76+HnV1dRaF2/j4OG7fvo3KykokJiYiNzcXycnJHinuZmdn0dTUhL6+PhiNRiQmJqKoqIhbgb1mYGDA4fKDmZkZzMzMIDQ01IuREdFKMdevLqap3/Y+j6enp5GUlIShoSGruV4ikWDDhg1WnyuXy1FUVGR1Rp3p+QkJCYiOjjYP7Dta3maK6eHDhxBF0RzT/Pw8nj9/jpcvXyIpKQkZGRnIzs52aZ90Z+n1erS3t6O9vR0ajQbh4eEoLCz02HeL1WhsbMyp5QeDg4MswGlN81kB3tbWhubmZkRFRWHnzp24cOECPvjgAwwNDSE2NhaHDx/GV77yFae2wyL/IZFIcPr0aVy/fh2Tk5PmpCOKIhISEnD48GGbU9IEQcCxY8dw8eJFi6nIpi8C2dnZKCsrA7C4zUZBQYHNhm4m0dHRqKurM8fwppmZGbS3t6OtrQ3Jyck4evSoW0fJBwYGcPXqVRiNRospVvX19di7dy8KCgpcej2DwYCZmRlIpVIEBwevmaRuWgPmaFYDm7ERrS7M9WvXgQMH8OjRI3R1dQH4Ta4OCgrCoUOHEBkZafO5W7ZsweTkJPr6+pZ89oeFheHQoUPm19y9ezc+/fRTu7FIpVI0NDTAaDRaPa7T6dDT04Oenh5UVlbi7bffdusg+OzsLC5dumTR42ZychJdXV3IycnB/v37XRp8EkURMzMzEEURISEha2bgytkczlxPa53PCvAXL14AAAoKCvCVr3wFP/vZzyyO/+IXv8Bf//Vf4+rVq0hPT/dFiPSGpKQkdHR02PxgFAQBSUlJiIiIwLvvvouhoSGMjo6ap7A7sy93WFgY3nvvPbS2tqKtrQ1arRbh4eEoKipCamqqRcG5Z88ejIyM2Jy6bOoA7qiwMx0bHBw0T5N0h7m5OVy9enVJV0/T9e7du4eoqCjExcU5fC2dTocXL16gqanJPDUwMjISGzdutDmlfzWJj4+329UeWFx+8Pq+sETk/5jrV5+EhASHg9uRkZEIDg7GkSNHoFKp0NPTA4PBgOjoaKSkpDgsGKVSKY4dO4aenh40NTVBrVYjMDAQubm5yM3NtRgIT01NRUlJCerr622+XkpKCnp6epz6/ebn53H58mV8/vOfd0s/GFEUcf36dajV6iWPA4u9aEz52pnXam5uxsuXL82vp1AoUFxcjI0bN676/jXR0dGQSCQ2B0pM4uPjvRQRkW/4bEjNtP9jZWUlfvazn+F3f/d30d3dDY1Ggxs3biArKwvNzc04f/68zf9RFxYWoFarLf4hzykpKXE4KmlqkmUqxjds2IDy8nKnim+TgIAAlJSU4Ny5c3j//fdx/PhxpKWlLbnbKwgCzp07Z/GlzXSOXC7HoUOHMDc359KIa3t7+5JGYMvV3NxsN8kIgmC+O2+PXq/HpUuXUFdXZ7Eub3JyErdu3bK6F7qnmLaH6enpwfj4uNtGqdPS0hze0S8uLl4zdwGI1gt35HqA+d6bsrKyoFQq7X4em2ajAUB4eDjKysqwceNGpKWlOf05LZFIkJmZiRMnTuDzn/88zpw5g6KiIquz0Hbu3ImtW7eaY3r932VlZQgLC3P6uqIoYnZ21m2N/8bGxjA6Omo3H9bV1TksOgHg6dOnuH//vsXf74WFBVRVVZln03nL1NQUenp6MDg46LbrKpVK5Obm2vy7JQgC4uPjER0d7ZbrEfkrn90BNxU5Op0Oe/bswU9+8hPzsUOHDuGjjz7Cxo0b8eLFC1y+fBmnTp1a8ho/+MEP8L3vfc9rMa93cXFx2L17Nx48eGBxV9n0QZqSkoLnz58jLi4OeXl5CAgI8HhMMpkMx44dM0/10ul05nXmcrnc5eJUFEX09/cjPz9/xbH19/c7vPPuzN6l9fX1GBsbs3n82bNnyMrKQlhY2LLidFZnZyeePHlisU1YVFQUdu3a5XKznDdJJBIcO3YMly5dgk6ns/i7JYoi0tLSbK4nJCL/5Y5cDzDfe5NMJsPx48dx5coVq5/HMTEx6Ovrg0qlQn5+vtfW6m7YsAEFBQXmgfLAwEBkZ2cjODgYlZWVLg0IC4KA3t5e5ObmrjiuwcFBp7ZQnZyctFtYvnr1yua6eGBxSVtra6vLS9dcNTExgfv372NkZMT8mFKpxKZNm1BUVLTipW87duzA+Pg4Xr16teRYcHCwefkB0Vrms9tJr29F9c1vfnPJ8fLycvNU4KtXr1p9jW9/+9tQqVTmf/r6+jwTLJkVFRXhnXfeQV5eHkJDQxEcHAypVApRFNHX14f29nY8evQIP/3pT/HgwQOvjdZGRkaioqIC27ZtQ35+vnkEPSMjw+XXclfMznwZcOachoYGu8cFQXA4XXCl2tracOPGjSX7wU9MTODy5csYHh5e8TViYmLw3nvvYcOGDQgNDYVCoUBcXBwOHjyIo0eP8u430SrkjlwPMN97W1xcHD73uc+hoqLCPN3cNKj+6tUrdHZ2oqamBr/4xS9w4cIFp7cLWymlUomSkhJs27YNZWVlCA4OBgCkp6e7VICLoujVXO/MeY2NjQ6LW0ffB1ZqamoKFy5cMO8YY6LRaPDw4UO3zLgLCAjA6dOnsXv3bkRHR0OhUCA8PBxbt27F+fPnudSM1gWf3QF/vTmHrdG8wsJC3Lp1C93d3VaPKxQKNm7xgZiYGOzbtw8qlQq/+tWvlqxxNmlsbIRGo8GhQ4d81iyssLAQtbW1FqP4jsTGxrrl2omJiXanpQmC4PDOscFgcDglXhRFTE1NLTdMhwwGAx49emT3+o8ePcI777yz4msFBwdjy5Yt2LJly4pfi4h8zx25HmC+94WgoCBs2rQJGzduxEcffWQzF42MjODjjz/Gu+++67M/o7i4OCQmJmJ4eNjruT4+Pt7hNeVyucOmb/Z2gHn9HE+ytv/7654/f46CggIEBgau6DoymQxFRUXmZYtE643Pbim9PsXX1ge26XFbBR75Vm1trcM/m87OTrvTp1dKp9Ohu7sbra2tGBkZWZI0AgMDcfLkSae+FAiCgJiYGJfWq9vjaM9qURRRUlJi9zUkEolTd37Hx8ddjs+e0dFRPH78GHfu3MGdO3ewsLBg81xRFPHq1SuH+3gT0frDXL/69fT0YGJiwu45s7OzHr07K4oiBgcH0drait7eXqt/V44cOeJ0US2RSNyy1AxYHGyPiIiwu665uLjY4dZnzizbMxqNdvOxq2ZmZlBVVYU7d+7gwYMH5v3TbTH1yiGilfHZHfCNGzdCqVRCo9Ggs7PTaidnU4OM5ORkb4dHTmhra3PqvNbWVqc6fbtCFEXU1NSgqqrKIhGb9gjfsmWLeWpabGwsvvjFL6KjowO9vb3o7++3aGYG/KZj+sGDB90WY2hoKA4cOIBbt25ZTWgbNmxw+HdbEARkZWU5THjT09N49erVigcP9Ho9bty4gd7eXost5JwxOztrd9sZIlp/mOtXP2cLrubmZlRUVLj9+n19fbh///6SJVBxcXHYtWuXuehWKpU4c+YMBgYG0NnZif7+/iXPMeW1AwcOrPgu7uuvefToUVy8eBHz8/NLjsfExGDTpk0OXycrKwu9vb12zxFFEU1NTW7piVJTU4PKykqXniORSNzWqJZoPfPZHfDg4GCcOHECAPDP//zPS44PDw/j2rVrAODWoojcQxRF6PV6p871xIf18+fPUVlZuWQU3Gg0orW1Fb/85S8tGnzIZDLExsYiICAAMpkMMpnMvJ2HUqlEaWkpzp8/79Z9QQEgOzsb+/bts3oXu7a21u6US5PXu83a4+yAiD137941r60URdGlNXXu+jJDRGsHc/3q5+wdV2vF50oNDAzg6tWrSwppYHGm1scff4ympibzY4IgIDo62ryrhinfC4IAqVSKzMxMnDlzBtnZ2W6NMyIiAidPnlySBwVBwNjYmFNN4rKzsx3eJQeAlpaWFcUKLN4YefbsmTnPO5vvRVFkridyA592Nfrud78LqVSKn//85xaJeWpqCr/1W7+F+fl5ZGVl4b333vNhlGSNIAjmO8yOBAUFufXac3NzDhuB6HQ6XLt2zdxkpaOjAx9++CFaW1sxPz8PvV5vLt7z8/Oxfft2p38fV8zPz+Phw4dWm70YjUZcv37d4dRtZ7qbC4Kw4i8/arXa7j7v9kRERCAqKmpF1yeitYm5fnVztsu5uwszURTx+PFjhznp/v375inyU1NT+NWvfoWqqipMT09Dr9eb1zRHR0dj3759bp+RZ/LgwQNoNJolvwOwOOD++kCBNVKp1KkGZG9ew1WiKOLFixfLfr67By+I1iOfFuDl5eX4u7/7O4iiiN/6rd9Ceno6tmzZguTkZFy7dg0xMTH48MMPvbKd1XphWj/kju6fzjbPcNc6K5P29nanisTZ2Vn09PRgZmYGt2/ftjnC+/LlS3z88cduX0cNLE7JczRTwN66OVPMprv19qy0c2hPT8+yn7t9+3afNdojIv/GXO99oihCq9W6ZV29s9teuXt7rMnJSYdrz4HFAeiGhgaIoojr169Do9FYzfWjo6P493//d7ft//3maztqAFdTU2P3uF6vd2qwY6U3C6ampjA9Pb2s55aWlrJLOZEb+GwNuMnv//7vo7i4GD/84Q/x+PFj1NbWIikpCSdPnsS3v/1trglzE7VajerqarS1tcFoNEImkyE/Px8bNmxY9od5SUkJ2tra7HblzMrKclunUZP5+XmHe24Ci0l5ZGQEY2NjDgccxsbG8Mknn+D06dNujbenp8dhQ5Pu7m7s3r0bwGIC7urqwvj4OMbGxjA+Pg6tVuvwOqIoIi8vb0Wx6vV6p97X1wUFBWH37t1IS0tb0bWJaG1jrvcOnU6H2tpaNDY2mmdFpaWlYePGjYiPj1/Wa8bGxqKoqAiNjY02zwkJCXF7R2tnZ3WJooihoSEMDQ05nFGm0Whw48YN7Ny502ETVFf09/c7zJ8zMzNQq9UIDw83xzwwMIDx8XFMTExYnWZvTWFh4YpidXb54OukUinKy8udWstORI75vAAHgD179mDPnj2+DmPNmpiYwK9//WuLrbj0ej0aGxvR2dmJM2fOODXN+U1yuRxnz57FgwcPljRpMXX93LZtm9vvjAYFBblUJA4ODjp1ntFoxL1793D+/PnlhraEM3cfTIMDPT09uH37tlMF95tKS0tXvH49KirKqUGN/fv3Q6/XIzQ0FElJSdyfm4icwlzvWTqdDhcvXsT4+LjFZ3lfXx/6+vpw5MgRZGRkLOu1d+3ahdDQUDx//nxJXktKSsKBAwcs9nx3B1eWr5kG3J31+PFjZGVluW2JnLMzDQwGA9RqNa5du+byziGCICAqKmrFswrDwsIgkUgc3pjYvHkzgoKCIJfLkZqayhkqRG7kFwU4eY4oirh9+7bVfbBFUYRGo8H9+/dx8uTJZb1+QEAADh48iN27d2NgYAAqlQphYWFITk722H6gOTk5ePz4scPzRFHEwsKC09ugiaKI8fFxt3QTN0lISMDExITdvcDj4uIwPDyMzz77zOX11wqFAuXl5SgvL19xrKmpqQgKCsLc3JzNWLOzs5Gbm7viaxERkXtVV1cvKb6B36xDvnXrFr7yla9ALpe7/NqCIKC8vBylpaUYGRnB6OgolEolEhISnF4j7qrIyEjExMRYNFS1FVtYWBjq6+tdev3W1la3dBMHFmcJOLMXuFKpxEcffeRyzxZBEJCbm4udO3c61ajNHoVCgZycHLS1tVmNWRAEKJVKbNiwgQPsRB7CAnyNM01jtkUURQwMDECtVi/rLrhJQEAAMjMzl/18VwQGBmLz5s14/vy5zXNMHU+X0y1UpVK5rQAvKipyuMa7pKTE5YYoFRUVSEpKQnx8vFPrw50hkUhw6NAhXLlyBUaj0SIxC4KAkJAQbN++3S3XIiIi9zEajWhsbHS4xri9vX1FU5glEgkSExORmJi47NdwxY4dO3Dx4kWH5y2nh4lKpVpOSFalpaUhODgYc3NzNovawsJCtLe32xzktvac1NRUFBcXIyYmxq1N7rZt24bh4WFMT08vyfWCIODQoUMsvok8iP93rXHONDAB4PJUKF/buHEjduzYYTNByOXyZa1zAuDWaVaRkZHYuXMnAFhMxTf994YNGxAbG4uBgQGn736bEmRSUpLbim+TxMREnD17FpmZmeYY5XI5SkpKcO7cOYfT9QwGAzQajVua/BERkXPm5uYcLl+SSCROfyfwF4mJiXj77bdt5h5X+5a8zp25XiKR4MiRI+Ytz94UGxuLzZs3O72nOvCbWYqpqalu7zAfGBiIs2fPorS01Pw+CIKAzMxMnDt3DklJSXafbzQaodFo3NLkj2g94h3wNc7ZqUruLuQ8TRAElJaWorCwEI2Njeju7sb8/DwCAwORnZ2N+vr6Za2lDggIcJh4XFVSUoKoqCjU1tZiYGAAABAfH4+SkhJkZGQ43XjldZ7884qOjsbhw4dhMBig0+kQEBDgcCR8YmIC1dXV6OzshCiKkMvlyM/Px8aNG7lnKBGRhzmT60VRXPH0ZV9ISkrCl770JXR3d6O1tRVTU1OQy+VISUmBRqNBS0uLy0W4KIpu304rLi4O58+fR11dHdrb26HT6RAaGoqioiIUFhZCJpM5vae6iSdzvVKpxPbt27F161ZotVrI5XKH11tYWEBNTQ2ampqg1WohCALS09NRUVHhtpmDROvB6vskJpekpKQ4bLYREBCAhIQEL0blPjKZDGVlZSgrKzM/JooiHj58uKzXq6io8EjCS0pKslnYBwYGQiaTOX3HXhTFZTfScYVUKnXqvRgZGcGlS5cspq3rdDo0NDSgu7sbZ8+edfte8ERE9BtKpRJxcXEYHR21eY4oikhPT/diVO5jujv75lK3K1euuFx8m2aQuXuHFmCxwdmuXbuwa9cuq8cjIyMxMzPjdMzeWNonkUicaqCn0Whw4cIFqNVqc/yiKKKnpwe9vb04fvw4UlJSPB0u0ZrAAnyNUyqVKCoqstucpLy83OlR8ampKdTV1aGrqwt6vR5RUVEoLi5GTk6O3+wDbVr/7erUqE2bNqG0tNRDUS1uQTIxMQGpVIr4+Hjzey6VSpGfn+9w/R6w+LulpaWtuOO5u4iiiJs3by5ZM246Njs7i0ePHuHw4cPmx3U6HXQ6HZRKJdeYERG5SUVFBa5evWr1mKnhp7NbkS0sLKCxsRHNzc3m2WUFBQUoKiryWIPV5VjOHf3U1FQcPHjQY99ZtFotRkdHYTQaERMTYzEAXVhYiN7eXoevYWqEttLtRd2psrLSovg2EUURoiji1q1b+NKXvmQeuDdNU5fL5ctq/Ee0lrEAXwe2b9+OhYUFtLW1WSQcURRRXFzsdBfQgYEBfPrpp+YPW2Cxydvt27fR09ODgwcP+k1BlZmZiY6ODocFbVBQkHl6mKemSs/MzODBgwcWSVcul6O8vBwbN26EIAjYtGkTent7bY6Mm9a5JSYm4sCBAx6JczkGBgbsTqEXRRFdXV2Yn5/H7OwsXrx4gd7eXvNUyPz8fFRUVHCaOhHRCqWlpWHPnj148OCBxeOiKCI2NhbHjh1zquicm5vDhQsXLPLR9PQ0nj9/jubmZpw5c8ZvZjVlZmaiu7vb4XkymQzZ2dkoLS1FVFSUR2IxGAyorKxEQ0OD+QaAIAjIysrCrl27oFQqkZaWhqysLHR2dtp9rcDAQJw4ccJvtv7S6XRobW21+51Ko9Ggu7sbSUlJqK6uRnNzs3lmn2mauidmHRCtRoK43O4VfkitViM8PNy8FRZZGh8fR1tbG+bn5xEcHIy8vDyn76TqdDr867/+K3Q6nc1zdu7ciZKSEjdFuzLj4+P4+OOPbU69VygUOHbsmMen3s/Pz+Ojjz6y2Rm1sLDQvC/u/Pw8nj17hra2NnPcSqUSERERiIqKQnZ2NhISEvxmpgEA1NbW4unTpw4HOnbs2GE+782Oq8HBwZymTmsac5P78T21bW5uDq2trZicnIRcLkdmZiaSkpKczh2ffvop+vv7bQ4Gp6Sk4K233nJ32Mui1+vxwQcf2B283r59O4qLiz16g0AURVy/ft3qYIAgCIiIiMDZs2chl8thNBpRW1uLuro683ZkMpkM4eHhiIqKQkpKCrKysvyqN8/ExAR+9atf2T1HIpGguLgYXV1dmJ2dtdpd/a233kJycrKnwyXyCVfyEu+AryPR0dGIjo5e1nNNDUXsqa+vR3Fx8ZK77DqdDhKJxKvNX6Kjo3H06FHcuHEDer3eHJMoioiIiMCJEycQEhLi8Thevnxps/gGgKamJhQXFyMqKgqBgYHYt28fduzYgZmZGcjlcoSEhPhVwf0mmUzm1Fq2qqoqq4MhpmnqT548wcGDBz0RIhHRuhIUFLTs/a3VajX6+vpsHhdFEX19fVa3LtXr9TAajZDL5V7LWzKZDG+//TauXLkClUoFiURiHuiVy+U4cuSIV9YlDwwM2LwTL4oiJicn0dTUhLKyMkgkEmzYsAFlZWXmKd3h4eF+M4PQGmeb/A0MDCwpvk3HXp+m7s+/K5E3sAAnp4yOjjrc7kOtVkOr1UKhUMBoNKKpqQl1dXVQq9UAgISEBGzYsAFpaWleiTktLQ1f/vKX0d7ejlevXkEikSAtLc3cmM7TRFFEc3Oz3fdMEAS0tLRgx44d5scCAgKcniI3MzODlpYWqFQqBAQEeP0uuTN/lgqFwm7nV1EU0dHRgZ07dzrVCIaIiDxjbGzMqfNevXplLsD7+/tRU1ODwcFBAEBISAhKS0s9ftfZJDQ0FO+99x76+vrQ19cHo9GI2NhY5OTkeG3tcUtLi8PvSKYC3EQikbg0C7G9vR3Dw8MQBAHJyclevUseGhqKiIgITE1N2TxHFEWH29zNz8+jp6fHK83liPwZC3ByirMFnanj+s2bN9HV1WVxbGRkBFevXsWOHTs82uzsdQEBASgqKvLKtd5kNBodboUmiuKytiEDgJqaGjx79sziscbGRiQmJuLYsWNeWTsWEhKCvLw8tLW12fzikZCQYF73bYsoilCr1SzAiYh8yNlcbzqvsbERDx48sHjezMwMHj9+jIGBARw9etQrRbhEIkF6errPurw709l8dnZ2Wa89ODiIa9euWcxCbG1txdOnT3HixAmPrWl/nSAIqKiowK1bt2wej4+Px/DwsMPXmZycZAFO6x7ngJBTUlNTHd7JjYuLg1wuR3t7+5LiG4D5+Y8fP4ZKpfJYrP7CmWn3giAsqwHZw4cPlxTfJsPDw7h586bLr7lcu3fvNn/pMa3zMn0Zq6ioQGJiolPT1Ffj/rRERGtJYmKiwyJcIpEgMTERMzMz5i0/rX3G9/b2orm52SNx+pvAwECH79tycn1vby8uXbpkdQng3NwcLl265PLe4suVk5OD7du3W+R50++clJSE7du3O3yN1boXPZG7sQAnp6Snp9tdjyyKIsrLywHA7pZnwGKR1tTU5PYY/Y0gCMjLy7OblEVRdHmbkdbWVjQ0NNh9zb6+PodTwdxFJpPh6NGjOHPmDFJSUhAYGAiFQoHExERERUU5NU09LCwMkZGRXoiWiIhsCQwMRH5+vs28JQgC8vPzoVQqnSquHX0fWCvy8vIc3qTIz8936TWnpqbw2Wef2T1Ho9GgpaXFpdddibKyMnzxi19Efn4+QkJCzEvmUlNTERYW5lRDxIyMDM8HSuTnOAxFTpFIJDhx4gQuX75sMY3KtOZpy5Yt5ilFjgo/URQxPj7u0Xj9RXl5OTo6OqDVaq0m54yMDJe25TAYDHj06JHD8wRBQE9Pj0enpk1NTaGxsdG87k+j0WBubs78d2J4eBhDQ0NITExEdnY2Ojs7bX5B2bBhg183myMiWi927tyJmZkZ9Pf3mz/PTf9OTk429ywZHx93OLtpamrK/Py1LC0tDQkJCRgZGVnyngiCYN7y1BWVlZU2d3J5XVdXl8XacnczFfldXV3mO/GTk5PmvxMLCwt48uQJXr58idLSUpuz84DF7zzctYCIBTi5ICIiAp/73OfQ0dFh/iCOjo5GYWGhRaEnlUodJo31MgUpNDQUp0+fxq1btywGHQRBQEFBAXbu3OnSF5Pe3l6H68pNTPtvekJzczPu3btntemM6WfTv4eHh5Gbm4v09HSbXWJra2uRlpbGrciIiHxMJpPhrbfeQn9/P1pbWzEzM2Pu95GSkmLOWTKZzGHjsfXS7VoikeD48eO4f/8+Ojo6LI7Fx8fjwIEDLvU4WVhYcGp/c8Czuf7Vq1e4fPmy1Wnub/65azQaNDY2Ytu2bXj69KnV1+vv78fg4CCSkpI8Ei/RarE+qiByG7lcjoKCAhQUFNg8JzMz025TLmBtTkEyGAzo6enBq1evIJVKkZaWhtjYWERGRuL8+fMYGxvD+Pg4pFKpeaq2q5xt4iKKosfufo+NjeHevXvm6zgTS3t7u90RepVKhRs3buD06dNui5OIiJZHEASkpqYiNTXV5jnp6elLis03XyMjI2PN3f0WRRGjo6PmjutxcXFIS0tDQEAADh06hG3btmFwcNB8bDm5eH5+3qn8CgAxMTEuv74z9Ho9Pv30U6cH/U1NZe3FrdfrcfXqVXzhC19Y1ncgorWCBTi5XVlZGdrb261+CJumYmVnZ6/4OlNTU2hra8Pc3ByCg4ORm5uL8PDwFb/ucgwNDeHGjRuYn58370P64sULJCYm4siRI1AqlYiNjXVpurk1ziasgIAAjw1y1NXVObzr8Saj0ehw3frw8DBevXrlsS8TRETkPpmZmQgLC8P09LTNfGDqDbMSGo0GbW1tmJychEwmQ0ZGhlPN4jxhbm4O165dw9jYmLkJmdFoRFBQEI4ePYq4uDjzbIGVcOVuuad2euns7MT8/LxLzxEEAc3NzXa/I+j1erS0tCx7r3qitYAFOLldVFQUjh49ihs3bkCv15uTpCiKCAkJwYkTJxxOQddoNOju7sbCwgLCwsKQlpZm3u/SaDTi4cOHaGpqskjAVVVVKCkpwY4dO7yamCcnJ3HlyhXztPvXp98PDw/j008/xdmzZ90SU1paGmQymcMpZ4cPH/bY/qD9/f0uFd8m1rq4vk4QBPT397MAJyJaBaRSKU6ePIkrV65ApVJZ5HqpVIpDhw45HHQ2GAzo7e2FWq2GQqFARkaGRfHZ1taGu3fvwmg0ml+/vr4e8fHxOHbsmFe3rjQYDLh8+bJ5L2xRFM25cH5+HpcvX8a7776L0NDQFV9LqVQiNTXVYb4tLS1d8cC+LYODgy4PtgPObcnW19fHApzWNRbgZJder8fc3BxkMplL63PT0tLw5S9/GW1tbRgbG4NEIkFKSgoyMjLsrgkTRRGVlZWora01J1xRFKFQKLB3715kZmbixYsX5i7qb37I19fXQ6lUoqKiYnm/8DK8fPkSRqPRasIRRRFjY2Po6+tzqhu4I3K5HFu3brXbiG3nzp1ISUlZ8bVsWU7x7Q+vTURE1pmmDwNAcHCw02u3Q0ND8d5776G3txe9vb0wGAyIiYlBXl4eFAqF3ed2dXXh3r17WFhYMOf6Bw8eoKysDFu2bMHg4CBu375tEaPJ6Ogorl27htOnT3ttwL2rqwuTk5NWj4miCL1ej7q6OuzcudMt1zO9B7a+X6Snp5sb4nnCcvKxKIpO/d1hrqf1jgX4OqXRaNDa2orBwUGIoojExETk5+ebpzhrNBq8ePECLS0t5rutcXFx2LRpk901Ya8LCAhAcXGxS3E9e/YML1++NP9s+pBeWFjA9evXceTIEdTW1tp9jZcvX6KsrMypRm9zc3MYGxsDsNgoxdXRdFEU0dHR4XD7kc7OTrcU4ABQUlICQRBQWVlpsTYrKCgIu3fv9vj6+sTERPT09DidQE3rAPv7++3eBRdFEfHx8e4Kk4ho3TMajeju7kZnZye0Wi0iIiJQWFho3vZRFEXU1dWhrq7O3GMkODgYpaWlKC0tdaq4lUgkyMjIcCn39PX14fr16+afTfnEaDSipqYGwGKRbesOrCiKGBkZwfDwMBITEx1eT6/XY3h4GHq9HhEREYiIiHA6VpPOzk67d4RN/U7cVYDHxMTg5MmTuHPnDtRqtflxqVSK8vJybNq0yS3XsSUhIQFtbW1Ony8IAhQKBWJiYjAwMGDzfRIEAQkJCe4Kk2hVYgHugFqtRmtrK+bm5hAUFOTTdcbuMjg4iGvXrlkUQ319fXjx4gWOHj2K2NhYXLhwAWq1esmI86effor9+/eveH2TNXNzcw6L6ydPnsBgMNg9R6fTYXBw0G7Bu7CwgIcPH1oUzxKJBHl5edi5c6fTXdpFUXQYjyiKTjcxcVZxcTHy8/PR398PjUaDkJAQJCUludRxVhRF9Pf3m9fRh4SEID8/HwkJCXa/dJWWljrdnRUAIiMjsXfvXlRXV6Ours5mb4Dw8HCnvkgREbmbVqtFW1sbJiYmIJPJkJ6e7rN1xu4yNzeHy5cvW2wZNTAwgPr6elRUVKCiogJ3795dUmTNzs7iyZMnePXqFQ4cOOCR98DeVlXA4kC6o0FeQRDQ1dVlN2+IooiamhrU1NRYfOdJTEzE3r17Xfo+t7Cw4DAmR0utXJWQkID3338fw8PDUKlUCAgIQEpKCgICAlx6nYmJCTQ3N2NychJyuRxZWVnIzMy0u1QtJycHT58+hU6nc+rPQiaT4fjx49Bqtejv77d7fmFhoUvxE601LMBtEEURT548MTecMqmqqkJxcbHL20f5i9nZWVy9etXqGmKDwYBr164hJydnSfH9unv37iE9Pd3h9DJXdXd3O/yQn56eduq17K2R1uv1uHTpEiYmJiyuZzQa0dLSApVKhZMnTzpVzEokEgQHB9vtTm4qLt3N1IxmOXQ6HT777DMMDAxY7PPa2tqKrKwsHDx40Obvn5iYiK1bt+LZs2dW7wYEBwfDYDAgODgYBQUFyM/Ph0wmw+bNmzE2NoahoSGL8wVBgFKpxNGjR1fl/1NEtLp1dnbi9u3bMBgM5s+guro6xMXF4fjx415dZ+wuoiji2rVrFuuVX/93VVUVdDqd3Tuc7e3tyMnJcdvsLROVSmWxLac1zs6wctQP5enTp1YH9oeHh/HJJ5/gnXfecXrNdkREBIaHh+3G5ok9rgVBQGJi4rIHqF+8eIEXL15Y5Ovu7m6Eh4fj5MmTCAkJsfo8uVyOY8eO4dNPP4XBYFjyewcFBcFoNEIulyM7OxtFRUXm16qoqEBVVZXFNU3/bx08eNAt6+SJVjMW4DaY7tYBSxNBQ0MDFAoFNm/e7IvQVqSpqcnuHVuj0Wizg/nr57S1taGkpMStsWk0mmU1/LDGNL3Omra2NpvJXxRFDA0Nobu7G1lZWU5dq7i42O5oviiKdrdt84UHDx5gcHAQwNIvZp2dnQgLC8PWrVttPn/Dhg1ISEhAfX09hoeHzVvWlJSU2NxyRSaT4cSJE2hra0NjYyOmp6cREBCA3NxcFBUVcQ9wIvK64eFh3Lx5c8nnILC45aI7m2h608jIiHl5lS2mRqb2pgo3Nja6vQC3tqe0tWtLJBK731ccbbepVqttzqozzUyrrq7G3r17HQeNxbu2pv4ztri67M7T2tra8OLFCwBLv8uq1Wpcu3YN77zzjs2/34mJiXjvvffQ0NCArq4u6PV6xMTEoKioCGlpaTaft3nzZiQmJpq/I0gkEqSmpqK0tBTR0dHu/SWJViEW4FbodDrzGiRbamtrUV5eDrlc7p2g3MSZtbuvd/G2RiKRQKVSuTMsAIvNXJwpvqOiojA5OWlzKnNcXJzdAtxRAjVto+FsAV5SUoLOzk6Mj49bjWnTpk1+tWxhdnbW4SBLfX09Nm7caPfvd0JCgsvruKRSqcN95ImIvKW6utrmMVMTzcHBQSQnJ3sxqpXr7e11OKDt6O6xKIo2m46thK07rm9eOyUlBb29vTZ/B4lEgtzcXJuv0dra6nDNdltbG3bt2uXUriExMTEoKyuzWtQLgoD4+Hjk5+c7fB1vMU2/t3d8fHwcQ0NDSEpKsnleaGgotm/fju3bt7t0/eTk5FX3/w2Rtzi/YHQdGRoacpiY9Ho9BgYGvBSR+zhar+wMURQ9MvCQmZlp93UFQUBaWhoOHjwIuVy+ZORVEAQEBARg3759dq9jb7o4YNkN1hkymQynTp1CSUmJRfzh4eHYv3+/xxuluMpecxQTvV6PkZERL0VEROR9er0efX19DptodnV1eTEq93h9266V8ESuDwoKQmpqqt345HI59u7di+joaKu5HgD2799vdymco1wPLH4ncqVHy7Zt27B7926LKdQBAQEoLy/HiRMnPLb953LMz887HEARBAG9vb1eioiITHgH3Apnm2g4KtL9UVxcHFQqld0pZwqFwm6zEVEUnb477AqZTIZdu3bhzp07VuOSyWTYvn07IiIicO7cOVRXV6O9vR1Go9E8Er5x40aHa7CCgoIwPz9v87ggCAgODnYpdrlcjh07dmDLli2Ynp6GVCpFaGioX05bdDTDwdXziIhWI2cHpFdjro+NjXX4GS6VSh2+Bzk5Oe4My2z79u345JNPoNfrrX7X2LVrFwIDA3Hq1Cm8fPkSjY2N0Gg0AICkpCRs3LjR7l1bAOZdXeyRSCQuNTQTBAFFRUUoLCzE9PQ0jEYjQkND/arwNnEmhwuCwFxP5AMswK2wN315Oef5k+LiYrS2tto8LooiNm7ciCdPnlg9LggCUlJSEBMT45H48vLyIJfL8ezZM4tp7snJydixY4d56xDT3eU9e/ZAq9UiICDA6QSYn59vdx9tURSXPY1MJpP5/d+L2NhYh+cIguCxP2MiIn8QEBCAwMBAuwOyoij6/We6NRkZGVAqleai9U2mQrK9vR0ajWZJEWxqjump5UKRkZE4e/YsHj16ZDGbMCIiAlu3bjU3GJXL5di8eTMqKiqg1WohlUqdviufl5dndwq2IAjIzs5eVvEsCIJHGq65U1BQkN2/A8BikR4XF+fFqIgIYAFuVVRUFOLi4jA2NmZznXF0dPSqbCQRGxuLbdu24enTp0u6U4qiiE2bNqG0tBTBwcG4c+cO9Ho9JBIJRFGEKIpITU3FoUOHPBpjZmYmMjIyMDk5iYWFBYSGhtpcMyaVSp0a5X5dfn4+Ghsbrc4EMP3ZZmZmLjt+fxcdHe3w73dGRgabohHRmiYIAoqLi/HixQu764w9se2mp0mlUhw9ehSXL1+G0Whc8vslJCRgy5YtKCwsxNWrV6FWq807XxiNRoSEhHi8A3xkZCROnjyJmZkZTE9PQ6FQIDIy0urMMYlE4nIsERERKCgoQHNz85Jjpll1FRUVy47f30kkEpSUlOD58+dWj5tmPK7l7ztE/koQ3dFy2k+o1WqEh4dDpVKteGRycnISFy5cWLL/oelD+8yZM3a7b/q7/v5+1NXVYXBwEKIoIjExEaWlpRbdTnU6HTo6Osz7RmZmZq7KQQdr5ufncefOHfT19Vk8npCQgF27diE6Ohp6vR56vR4BAQEu7a+9GqjValy4cGHJnQ/TqP7p06ddHtggIuvcmZtokbveU9O2lG8OSJoGpfft2+dXjbVcNTU1hbq6OnR0dECv1yMsLMw8hdp051cURfT19Zm3iExMTERKSsqayHtGoxGVlZWor6+3mG4fGhqKrVu3Iisry9wRXS6X++VU8pUwGAy4evXqkp5Fpi7zJ06cWPb2ZkRkyZW8xALcwetVVVVZrDPOzs5GRUWFX3W19rXx8XE0NDRgZGQEEokE6enpKCwsdHkdtS+o1WrU1NSgq6vLYmsU0zp4038XFhaivLzc7Xuf+9L8/Dzq6+vR0tICjUaDoKAgFBYWori42KU1cURkHwtw93Pne6rT6fDy5Us0NDSYP/cTEhJQUVGBlJQUd4S7JszNzaG5uRnd3d3Q6/WIi4tDcXGxU8uafG1hYQFNTU1obm6GWq02Px4QEACDwQCDwQCJRIKsrCxs3LhxVS47sMVoNKK5uRmNjY2YmpqCTCZDdnY2SktLzcv6iGjlWIC7YUS8q6sLKpUKAQEBSE1NhUKhQEBAAGQy/5q1L4oiDAYDpFKpTxp+1dXV4fHjx0ums0skErz11lsOm6R4itFoxMzMDKRSKYKCgmy+Nw0NDXj48KHD1xMEAeHh4Thz5syaKsKJyPNYgLufO95TURQxODiI4eFhCIKAxMREhIWFQS6X++UgpGlJmC/uTI+MjODKlSsWTdNMeX/Lli3YuHGj12MCFv8M5+bmYDAYEBISYvO9efXqFS5cuGB1Ov7rBEGAVCrF22+/zbXRROQSV/KSf1WTfqCzsxP37t2DVqs1r31+8uQJ8vLysGfPHl+HZzY3N4fa2lo0NzebG5Pk5eVhw4YNFttjeNLg4CAeP34MABYJzTQocPXqVXzxi1/06BqyN+n1etTU1FjcyYiIiMDGjRuX7Be6sLBgjt8RURShUqnw/Plz7Nq1y+1xExGR90xNTeGzzz7D1NSUeYBWFEXExMTg6NGjflOAG41GNDY2or6+3nznNjU1FeXl5V4b4NZqtfj000+XdCw3/XdlZSWio6MtlrB5Q1tbG6qrqzE1NQVgcbZaUVERNm7cuORmyaNHjxwW38Bvvr/cunUL77//vl/uZEJEq9/qX+DjRgMDA7hx44Z5T8jXP6xbW1tx//59t1xnZmYGNTU1ePToEaqrq13ac9r0/I8++gh1dXXmWA0GA5qbm/Hhhx9iYmLCLXE6Ultbazc56fV6q81PPMVgMODKlSuorq62mE4+NTWF27dv48WLFxbnd3R0uLT9hiiKaGlpWZVb0hAR0aL5+XlcvHjRvNOGqckosLik6uLFi05vR2qPTqdDc3MzHj16hGfPnmF0dNRhAfg6o9GIa9eu4dGjRxbTpvv7+3Hp0iW7O5q4U1tbG7Rard3tS1++fOmVWExevHiB27dvm4tvYHFQvaamBleuXLFY761WqzE8POz0ey+KItRqtXlNPBGRu7EAf83z58/tFpStra0WSdBVoiji2bNn+Pd//3c8e/YMDQ0NqKysxL/927/hyZMnTieHBw8eYH5+fsn5oihCp9Ph9u3bLiX55TI1cHN0jrc0NTXZTbIvXrzA5OSk+eeZmRmXp/Lp9XqXB0yIiMh/NDU1Wd16C1jMo9PT02hra1vRNXp6evCv//qvuHfvHhoaGlBTU4NPPvkEly5dsrst1OsaGxuXNAo1xQgAd+/exdzc3IridIajPC6KoksF7kpNTU0tGVB/M5ampibzY8vN2d66mUFE6w8L8P8wNzeHkZERh2uDOjo6ln2Nly9foqamxnyN169VW1uL6upqh68xMzOD3t5em3GKoojx8XGMjY0tO0538maLgYaGBrvHBUGwuCOvVCqXFZ+/9QEgIiLntbW1Ofzsb29vX/brj46O4tq1a+a76K9fa2hoCNeuXXMq9zjKaQC8OsvMHm/m+qamJodTw19/75a7DI65nog8hQX4f3h9yrItgiCYp3y7Sq/X2xyxNamurnY47c3ZEVlvjNwmJCTYTYKmpjbe4mh2giiKFnfAs7OzXb5GVFTUqujuTkRE1jmTx535TmDLs2fP7B4fGRlxOL3ZaDSap8jbIoqi13K9PYIgID4+3mvrpaemphwW/K9/H4iMjHS5q7kgCF5f005E6weH9/5DcHAwJBKJ3TXBRqNx2d1We3t7LdYkWWMwGDAwMICMjAyb5zi7R6U39rIsLS1Ff3+/zeOCIKCgoMDjcZjIZDK7AxiCIFg01gkODkZpaSlqa2udvsaGDRvQ1dWF1tZWzM/PIzQ0FHl5eZDJZNDr9QgPD/fIFnWTk5OYnp6GUqlEbGwsG8MQES1TeHi4zSnowGKuWO72TAaDwamlVx0dHXabqAmCYLG7iK1zvJHr8/LyUFlZabP/iSiKKC0t9XgcJnK53OF78/rda0EQsG3bNly9etXpa+Tn52NmZgbPnj3D5OQkAgICkJWVhaioKGg0GgQGBnokF8/NzWFiYgKCICAuLg5yudytr09E/oEF+H8ICAhAdnY22tvbbX6oS6XSZd01BRYbvDnD0ah7fHw85HK5w0LTG3uXpqamYvPmzea1869vTSIIAo4cOYKgoCCPx2GSnZ2NlpYWu9Pzs7KyLB7btm0bJBIJamtrlwy+vJlYt2zZgrq6OoyNjZl/37GxMXR2dlqcl5CQgD179rhlH9GxsTE8fPgQo6Oj5sdCQkKwbdu2Zf9dJCJaz4qKijA8PGzzuCiKKCwsXNZrO7prbeJoXbLpDqyjJWfp6ekux+gqhUKBY8eO4erVqxbNaU15sLy8HJmZmR6PwyQrK2tJ3n2dIAhL8mNaWhqOHDmC+/fvW12D/3on/KysLEgkEnzyyScW323e/B4XGhqK7du3u+V312g0ePjwITo7O83Xk8lkKCkpwebNm32y9RwReQ4L8Nds3boVAwMDVhucAcCePXuWvTWJsx1VHa1VkslkKC8vx/Pnz22eU1BQgMDAQJfiW66KigokJiaioaEBIyMjkEgkSE9PR3FxsUfuBNtTVlaGtrY2q1uNmO5ovDm7QBAEbN26FeXl5ejp6YFWqzXvA9vV1QWtVouIiAjk5eXhwYMHePXqFQD7691GRkZw4cIFnDt3bkXvwatXr/DrX/96ycDAzMwMbt68Cb1ej/z8/GW/PhHRepSVlYW2tjarDc4AICcnB8nJyct67enpaafOc+bOdXl5OXp7e60eEwQBoaGhdmfMuVNycjLee+89NDY2oqurCwaDAXFxcSguLl72e7VcGRkZiIyMtDoVXRAESCQSlJWVLXleZmYm0tPT0dfXZ55RFhkZie7ubvPPubm5GB0dNe96Yy/XT09P4/r16zh48CBycnKW/ftotVr8+te/hkqlsrieaVvV6elpHDx4kDPfiNYQFuCvCQ4OxtmzZ/Hs2TN0dHSYPwijo6OxefPmFY00h4SEOHVebGysw3M2btyIubk5NDY2Wnwgi6KIzMxM7Ny5c9lxLkdiYqJX13rbEhERgRMnTuD69evQaDTmfdxNe7seO3bM5iiyQqFAXl6exWOv/05qtRrd3d1OxWHqRv/8+XMcOnRo2b/P48eP7e5b+ujRI2RnZ7NRDBGRCyQSCY4ePYqqqio0NDSY14QHBgaitLQUZWVlyy52nP08dmYP74SEBBw4cAB37tyB0Wi0uEsbFhaGEydOePXOaFhYGLZv347t27d77ZrWSCQSnDx5EteuXTPPSBMEAUajEQqFAkeOHLG5hMB0k+B10dHR5v8WRRHXr193KZ5Hjx4hMzNz2csBGhsbLbZTe1NHRweKi4sdrsUnotWD39zfEBISgoMHD2LXrl2YmZmBXC5f9rrv16Wnp6OmpsbuOREREU5N2RYEAbt370ZRURFaW1sxMzODwMBA5ObmIi4ubsWxrmaJiYn40pe+hK6uLoyNjUEqlSItLW3FDWJc3U5NFEV0dnYue9bE9PS0wyY9Op0O3d3dKxp5JyJaj6RSKbZs2YKKigqoVCoIgoDw8PAVF7Tx8fEICAiw2+hNEASnP7dNd+NbWlowPj4OqVSK9PR0pKenr+tpyUFBQTh79ixGRkbMPXZiY2NXVAgDizPMXN1uVqPRoK+vb9mzEZzdwYUFONHawQLcBoVCAYVC4bbXi4uLQ0JCgt2tzrZu3erSa0ZFRfl8JNofSaVS5OTkuLUwtdeczxZRFDE/P+9yAW40GvHw4UOH5wmCwD3JiYhWQCqVIioqym2vJ5PJsGHDBrud0AsLC13aGiswMBAbNmxwQ3RriyAISEhIcGthutzt1GZnZ5f1vNbWVofPNe1NT0Rrx/odPvUyQRBw9OhR8xRz05Qp0z+7du3y2loucl18fPyynrecQZyamhqb6/5eJ4qi19b6ExGRc8rLy1FSUgLAMtcDi81Cd+zY4cvwyI6QkJBl7Ru+nFw8PDyMO3fuODxPEASvNrQlIs/jHXAvUiqVOHPmDAYHB9HZ2QmdTofIyEjk5+fzw9XPRUdHIy4uzqIbuT2CICA1NdXlRK7X653eFk0qlXq18ywRETkmCAJ27txpdZlYTEyMr8MjOyQSCUpKSuw2un2TXC5f1p7htbW1DrdTAxYH23Nzc11+fSLyXyzAvUwQBCQnJ3u9ayitXHp6utMFuEQiwebNm12+xtjYmN21g6+rqKhYdld+IiLyrIiICJeXlpHv5eXluVSAb9myxeVmqKIo2t1i7nWJiYlITU116fWJyL+xAF8H5ubmMD09jYCAAERERHAri2Xq6upy6jzTnqnLudPh7Frz9PR0rgkkIiIznU6HyclJCIKAqKioFTUjW8/a2tqcOs8006G4uHhZ13Em3wcFBeH48eP83ka0xvhdAf6d73wHf/EXfwEA+P73v4/vfOc7Po5o9VKpVHj8+LHFeuKIiAhs2bKFU5ddpNVqzXuAO7J///5lN4WJiopyakraxo0bmZCJaNVirncfvV6PZ8+eobm5GXq9HsDiQHBpaSk2bNiwrrulL4ezW44WFhYuu/gWBAHR0dEYHx+3e15RURHkcvmyrkFE/suvPpWbmprwwx/+0NdhrAlqtRqffPIJ+vr6LB6fmprC9evX0dLS4qPIVidn70zLZLIVTRULDAxEVlaWzeLalLSd2S+eiMgfMde7j8FgwJUrV9DQ0GAuvgFgYWEBz58/x+3bt5fd2Xu9ev19tMfUaG+5SktL7R6XSCQoKChY0TWIyD/5TQEuiiJ+7/d+D3K5HAcPHvR1OKve06dPodVqbSbehw8fQqfTeTmq1UuhUDjV5bS4uHjFdxt27tyJsLCwJUW4IAgICAjAwYMHefebiFYl5nr3amtrw/DwsM1c39HRgcHBQS9HtbrFxsY6zLFRUVGIiIhY0XVyc3Otbpdq6pq/f/9+NuglWqP8pgD/x3/8R9y/fx/f/e532WxihTQaDbq7u+2Oeuv1enR2dnoxqtVNEASHU82kUik2bty44msFBgbi7Nmz2LRpkzn5KhQKlJSU4Pz584iMjFzxNYiIfIG53r0aGxvtHhcEAU1NTV6KZm0oKipyOGtg27ZtK76OIAg4cOAA9u/fj5iYGAiCAKlUioyMDJw+fdpqcU5Ea4NfrAEfGxvDn/7pn6KoqAh//Md/jK9//eu+DmlVm52ddZg8JBIJ1Gq1lyJaG8rKytDf34/h4WGLx00j5QcPHnRbV3KFQoGKigpUVFRAFEXe8SaiVY+53v2mp6ftHhdFESqVykvRrA1xcXGoqKhAVVWV1Z4sxcXFSElJccu1BEFAXl4e8vLymOuJ1hG/KMD/+I//GBMTE/joo4/YbMINFAqFw3NEUXTqPPoNmUyGEydOoKGhAQ0NDZiZmYEgCOaO5HFxcR65LhMyEa0FzPXup1AosLCwYPO4IAhOLZ8iS5s3b0Z0dDRevnxp3n40OjoaZWVlyMnJ8UheZq4nWj98XoDfvHkTP/vZz/DlL38Z+/bt83U4a0JISAji4uIc7lmdnZ3tpYjWDplMhvLycpSXl0Ov10MikbDDLBGRA8z1npGbm4uqqiqbs95EUURubq6Xo1obMjMzkZmZCYPBAADc1o2I3ManlYNGo8Hv//7vIzw8HH/1V3/l8vMXFhagVqst/qFFW7ZssTuaWlRUhODgYC9GtPbIZDIW30REDqw01wPM97YUFRVBqVRazfeCICAyMhJZWVk+iGztkEqlLL6JyK18egf8z//8z9He3o6/+7u/Q3x8vMvP/8EPfoDvfe97Hohs9UtOTsaRI0dw9+5dLCwsmNcxmZqJbd++3dch+tTCwgJaW1vR09MDg8GAuLg4FBYWrrirKRERWVpprgeY720JDAzE6dOncf36dUxMTJgLcVEUkZCQgEOHDq3r4tFoNKKnpwetra3QaDQIDQ1Ffn4+kpKSOOWbiHzGZwW4aR/QiooK/MEf/MGyXuPb3/42/uRP/sT8s1qtZlfV12RkZCA1NRU9PT1Qq9UICAhARkYGAgMDMTQ0hNbWVszNzSE4OBh5eXlISEhYFwnp1atXuHz5ssW6udHRUdTV1WHXrl0Ou50TEZFz3JHrAeZ7e8LDw3H+/HmMjIxgeHgYEokEycnJiI6OhkqlwpMnTzAxMQG5XG6eVr0einKtVosrV65gdHTUfBNidHQU7e3tyMrKwsGDBzmLjYh8wmcF+De+8Q3o9Xr8n//zf5b9AahQKNhIzAGpVGox/Uyv1+PatWvo7e21uCve0tKCzMxMHDx4cE0nZp1OhytXrkCr1Vo8blo/9/DhQ0RGRiIpKckX4RERrSnuyPUA870jgiAgISEBCQkJ5sdevnyJp0+fWuT6rq4uhIWF4e2330ZISIgPI/a8O3fuYGxsDMBvcrzp352dnQgLC8PWrVt9Fh8RrV+C6Gi/Kg+JiIjAzMwMYmJilhxTqVTQaDQICQlBcHAwUlNTUVlZ6fA11Wo1wsPDoVKpEBYW5omwV7379++jubnZZsOW0tJS7Nixw8tReU9TUxPu379v87ggCEhJScFbb73lxaiIaC1bz7nJE7keWN/vqTO6urpw/fp1q8cEQUBERATefffdNTvrTa1W4+c//7ndc+RyOb7yla9AJvN5P2IiWgNcyUs+/dQxGAwYGRmxeXxmZgYzMzNQKpVejGrt0mg0dotvAGhsbMSmTZvctp+1PWNjY6ivr8fQ0BAAIDU1FcXFxYiKivLYNfv7++0eF0URAwMDq2o/TlEUMTIygra2NvOX2fz8fI++j0REzmKu976amhqre1gDizljcnIS/f39XpnGPzs7i8bGRnR2dkKv1yM6OhpFRUVITU31WJ4dGBhweI5Op8Po6OiqmvGmVqvR0tIClUoFuVyOrKwspKSkrJrvK0S0yGcF+NTUlM1jv/Vbv4V//ud/xve//3185zvf8V5Qa9zg4KDd4htY/KI0NDSE9PR0j8bS0NCAhw8fWnxBaG5uRnNzMw4cOICcnByPXNeZCR8+mhSyLHq9Hjdu3FiypKCurg7FxcXYuXMnEzMR+QxzvfdptVrz1GtbJBIJent7PV6Aj46O4vLly9Dr9ebcOjc3h97eXhQUFGDPnj0eyVHO5vHVlO9ramrw7NmzJcsH4+LicPz4cQ5gEa0i7D6xjpj2snTXecs1OjqKhw8fArBMfqIoQhRF3L59GyqVyiPXjouLs3tcEATExsaumqL1wYMH6OvrA7B0jVtDQwNevnzps9iIiMj7nMnhoih6PNfr9XpcvXrVovg2XRv4zaC7JzjK9cDiIER0dLRHru9u7e3tePbsGYCluX5sbMzmcgMi8k9c+LKOxMbGOnWetbV67lRfX29zapxJY2OjR9ai5+fn4/nz5zAajVaPi6KIkpISt1/XE2ZmZtDW1mb3fXz58iVKS0udbqxnNBrR29uLpqYmqFQqKJVK5OXlITc3F3K53F2hExGRhyiVSgQFBWFubs7mOaIoOlWkrkRnZyc0Go3dc2pra1FQUOD2Qe+YmBjExsbi1atXVnOkIAjIyclZFXeNRVFEVVWV3eNDQ0MYGxtz+nsesLgjTENDA0ZGRiAIAtLT01FUVLTmm/MR+QMW4OtIREQEEhMTMTw8bDMhpaSkeLyhjaOp8KZ12J4QGBiIw4cPm0eLTXGYBgSKioqQnZ3tkWsDi/uPt7W1YXh4GIIgIDk5GTk5OctqAtPf3+9w+tzCwgLGxsYsOuPaYjAYcP36dYvp7Gq1GqOjo6itrcWpU6cQHBzscpxEROQ9giCgpKTEfMfUGrlc7tFcB8Cc5+zlKZVKBa1W65EO94cOHcKvf/1rzM/PL4khKirKow1nTfuPd3d3Q6/XIyoqCgUFBcvKobOzs3aXcgCLf+Y9PT1OF+C1tbV48uSJxZ/P1NQU6urqcOzYMaSkpLgcJxE5zy8L8J/+9Kf46U9/6usw1qT9+/fjwoULSxKSIAgIDg7G3r17PR6DMyPdnpwCnpGRgfPnz6Ourg7d3d0wGo2IiYlBaWkp0tPTPXbt/v5+fPbZZ9Dr9QAWf8eOjg48e/YMb731lksj14D7lxS8ePECvb29AJaui5uensaNGzdw5swZl2IkIrKFud5zysrKMDQ0ZF6iZCIIAgRBwJEjRzw+q8nXS7nCwsJw/vx5NDY2oqWlxdyktLCwEAUFBR77/WdmZnD58mWoVCpzgdvd3Y2qqirs3r0bhYWFLr2eMzlcEASnc/3g4CCePHkCYOkyQIPBgGvXruGLX/wiAgMDXYqTiJznlwU4eU5oaCjOnz+P+vp6NDc3Q6PRIDAwEAUFBSgpKfHKdKzk5GS7U6dNd+I9KSoqCvv27cO+ffs8eh0TlUqFq1evWkx9N/3+CwsLuHz5Mj7/+c+79P47s3ZNEARERkY6PE+v16OhocHmcVOn9adPn0KpVCI6OhrJyck+/4JFRERLSSQSHDt2DM3NzWhoaMDU1BRkMhkyMzNRVlbmlV0yEhMT0dTUZPecyMhIj+7vHhgYiE2bNmHTpk0eu8brjEYjPv30U6jVagBL12vfv38foaGhLn3HCQ4Ohlwuh06ns3tdZ9ez19XV2Z2ZYDAY8ODBA8TGxiIkJAQZGRncqo3Izfh/1DoUGBiILVu2YMuWLT65fklJCVpbW+2ek5aWZvVxg8GAlpYWNDY2Qq1WQ6FQIDc3F8XFxX49PbqhocFmshNFEVqtFi0tLSgvL3f6NePj4xEREQGVSmVzSUFGRgaCgoIgiiJ6enrQ0NCAyclJyOVy5OTkoLCwEEFBQZiYmLCb3E1evnxpTtxhYWE4fPiwx3sGEBGR6yQSCYqKilBUVOST62dmZiIoKMjqFHCTjIwMm8/v7e1FfX29eY1yWloaSktLXZ4t5k39/f2YnJy0eVwQBNTU1LhUgMtkMhQWFqKurs7m+6hQKJCZmQlgcW13fX09BgcHASze9CgpKTEX6KatVu3p6upCd3c3RFGEXC7Hjh07UFBQ4HTMRGQfu6CT18XExGDfvn3mqXBvEkURly5dQkdHh8XjOp0Oly5dwoMHDzAxMQG9Xo/Z2Vm8fPkSv/rVrzAxMeGtX8FlXV1dDhNed3e3S68pCAIOHToEuVy+5H0UBAEhISHYtWsXjEYjbt26hc8++wyDg4OYm5uDSqVCVVUVPvjgA5ffN9PvMT09jYsXL0KtVmNychIvXrzA48eP0djYCK1W69JrEhHR2iKVSvHWW28hICDA5jnV1dW4f//+kvz47NkzXL16FQMDA9DpdNBqtejo6MAnn3zicADfl3p6euzODBNFEYODg+alaM6qqKhAdHS01VwvkUhw+PBhSKVSNDU14aOPPkJbWxtmZmYwMzOD1tZWfPjhh2hpaXHpmqY/E51Oh3v37qG9vR0ajQb19fV4/PgxqqurMT097dJrEtEi3gEnn8jPz0dYWBguXbpk9bgoirh16xYiIiLMo7bPnz/H6Oio1XO1Wi2uX7+Oz33uc345LdqZtVmuJmRgcRr6O++8g9raWrS2tkKv10OhUKCwsBBlZWVQKpWora01D2a8ud5Lq9Xi6tWrePfddx1OcXuTKIrQ6/W4fPkypqenzQMqRqMRjx8/xt69e5Gbm+vy70RERGtDdHQ0Pve5z+Gjjz7C7Oys1XOampoQGRlp3oGkt7cXNTU1AJbmLAC4e/cuEhISPN4wdjmcXYdtaycWWwICAnDq1CnU19ejoaEBc3NzkEgkyMrKwoYNGxAVFYVXr17h/v37AKy/b/fu3UNcXBwSExOdauL6pgcPHkCn00EURUgkEoiiiMrKShQVFWHnzp2QSHhPj8hZLMDJZ4aGhhyeU19fj3379kGn06GpqcnuNG6VSoXBwUEkJye7O9QVi42NtZvwBEFY9pYwYWFh2L17t/lu9+tbjhmNRtTW1tp8riiKmJmZweDgoMMpbraebxoBN+3jDix+Cbl9+zYUCoXN5QRERLT2TU9P2yy+TWpqalBUVASJROLUVqVNTU3Ytm2bu0NdsejoaId36E1rul0ll8uxceNGbNy4EQaDARKJxOKGQ0NDg8P3raGhAaWlpUua8znj9Zltrw8gNDY2QiqVerSrPNFaw+Eq8pne3l6H25GZunKrVCqHd4gFQbB6h9wfFBcXO/xdZTKZ3bVjjgiCsGS/77m5Obt7wZqeNzw8jM2bNyMpKcn8mDu8ePHCLa9DRESrU39/v8OcMjc3Z25cNjo66jBfDg8PuzVGd8nLy1uSh98UFRXl1Dpse6RS6ZL31JktXgcHB5GSkmLuAeSuXN/Q0OBwz3ci+g0W4OQzziSf1/fpdoY/Tj8HgNTUVIeNcOrr6/HBBx/g008/xcLCgpci+w2ZTIa33noLBw8eREJCAoKDg1fcFX9sbMzhnQ8iIlq7nJ1ubTrPmTzur9OdFQoFDhw4YLPHDbA4IHHlyhX84he/wKtXr9x2bVe+/2zcuBFnzpxBVlYWQkJCEBQUtKJrm/Y9JyLn+OcnGK0L8fHxdhOGIAiIj48HsLhViaM9KUVRNHcWfb24n5+fx/DwMMbHx1c04rwSgiBg165dOHjwoM0OrqbYTMnZ1TVi1gQHByMkJMTuOaIomu98SyQS5OTk4NSpU/jSl76EU6dOrTgGV9aVExHR2hIXF+cw9wYEBJjXdKempjosJlNTUwFY5nq9Xo/R0VGMjo4uq6eKu2RlZeHMmTM2O7xba2TqDikpKQ6/U73efT0+Ph6HDh3CF7/4RXzxi19ccRHOXE/kPK4BJ58pKipyuPd0aWkpgMXCsKysDE+fPrX7mh999JF5DVRQUBAUCgWmpqbMCS8kJASbN29GXl6e+34RJwmCgJycHOTk5ODRo0c2tyYTRRFjY2Po7e21u0WLs9csLy/Hw4cPbR4PDQ01f5l5U2RkJMrKyuyuI7dHIpH49fZwRETkWampqQgNDcXMzIzNLTOLiorMe02XlpYu2QXlTc+ePcPz589hNBohk8kQHh5usVRNLpejsLAQW7ZscTgl3BPi4uJw5MgR9Pb24urVq1bPMTUyra2txe7du1d8zaKiIof7rhcXF1t9XCKRYO/evbh27dqSPyNH68pNwsPDnQ+WaJ3jHXDymYiICOzduxeA5dQp039v2rTJfGcWAMrKysz7UDra5gNYXFM2OTlpkThmZmZw586dZReU7tLe3m43oQmC4PALiLOKiopsvm+BgYE4fvy43fdz27Zt2LFjh8UMBNOdcntfbARBQG5u7rKazRAR0dogCAKOHj1qdctMAEhISEBFRYX559jYWOzfv9/uNG7gN1PW9Xo9xsfHLe5663Q61NbW4tq1a26ZTbZcHR0dDr+vtLW1ueVaUVFRVqe/m34+dOiQ3SI5LS0NJ06cQExMjMXjCQkJiIuLs/t7BAcH+2UDXCJ/xTvg5FP5+fmIjIxEXV2duUt4QkICSkpKLKZKAYtJZM+ePcjLy0NzczNGRkagUqmWdd2nT58iJydnxVOulsvRPtmiKLqtoYnpfcvOzkZjYyMmJycREBCA7Oxs5OXlQaFQOHx+aWkpiouLzfuvR0REQKlUoqOjAzdv3lwyQi4IAoKDg82NXoiIaP2Kjo7Gu+++i4aGBrS3t0Or1SIsLAxFRUVWG5fl5uYiISEBTU1NGBgYwNjY2LKu29/fj87OTuTk5Ljj13DZwsKCw7vHpq293NHDJicnBzExMWhsbMTAwAAEQUBycjKKioqcukOdnJyMd955B1NTU9BoNAgODkZoaChUKhU++eQTaLXaJbleEATs37/fb9flE/kjFuDkc3FxcTh06JBT5wqCgISEBCQkJOCTTz5xemqUNW1tbSgvL1/Wc1cqJCTE7rovQRDcusepKQmvZIRaIpEsGRnPzs6GUqnE8+fPMTIyAmCxO2tubi62bNnicN0+ERGtDyEhIdi2bZvT24eFhoZi69atePHiBV69erWsXC8IApqbm31WgIeFhTn8nhIcHOzWBrIRERHYuXPnil/jdeHh4Th37hyeP3+Ojo4O8++TnJyMzZs3L3sbVaL1igU4rVoraaomCIJ5/2pfKCoqwpMnT2weF0XRPG3c35kK+7m5Oeh0OgQFBXHaORERucVKcr0oisueKecOBQUFqK+vt3nctP59NQgLC8PBgwexe/duzM/PQ6FQrHinFKL1ivNFaF0SRdHh1GtPKiwsRHR0tM1R76KiIpvd0v1VUFAQwsPDWXwTEZHf8GWRGBUVhZKSEqvHBEFAZGSkzcZo/iogIADh4eEsvolWgAU4rVormd4siqLPpqQBix1aT506hcLCQou1b4GBgdi+fTt27drls9iIiIj8xUoHy32x68nrduzYsaSRqVQqRX5+Pk6dOoWAgAAfRkdEvsAp6LRqOWpkZk9OTg4iIyPdGI3rAgICsHv3bmzduhVTU1OQSCSIiopiIxMiIqL/sNw9vU3NQPPz890cketxvN7I1Gg0IiIigoU30TrGApzWhdeboOTn57tlz013CQgIYAMTIiIiK0ydtp1ZB25a1iWKImJiYnDkyBG/KXStNTIlovWJBTitWgkJCejr67OblPPy8pCZmYnJyUnI5XKkp6cjJCTEi1ESERHRcsXHx6O9vd3uOaGhoTh06BCGh4cB/GbvaiIif8QCnFat0tJS9Pb22jwukUiwefNmhISEID093YuRERERkTvk5ubi2bNn0Ol0Ns/ZtGkT4uLiWHQT0arAxaa0apn2nwRg0U3cNF3twIEDvNtNRES0igUEBODo0aOQSqVLcj2wuGtIbm6ur8IjInIZ74DTqlZRUYHExETU19djeHgYgiAgLS0NJSUliIqK8nV4REREtELJycl477330NDQgK6uLuj1esTGxqK4uBipqak2t/QkIvJHLMDXMb1ej/7+fmi1WkRERCA2NnZVJrHExEQkJib6OgwiIiK/I4oihoeHMT09DaVSieTkZIvtL1eLsLAw85ZeRESrGQvwdUgURbx8+RLV1dUWa6oiIiKwb98+xMfH+zA6IiIicoe+vj48ePAA09PT5scUCgW2bt2KwsJCH0ZGRLR+sQBfh54/f47q6uolj6tUKly6dAlnzpxZV1tlGI1GdHZ2orGxEVNTU1AoFMjJyUFRURECAwN9HR4REZHLBgYGcPXq1SU7hSwsLOD+/fswGo0oLi72UXS+MTIygvr6egwNDUEQBKSkpKCkpATR0dG+Do2I1hE2YVtn5ubmUFNTY/WYKIowGo2orKz0blA+ZDQa8dlnn+HWrVsYGRmBRqOBSqVCVVUVPvjgA0xOTvo6RCIiIpeIoojHjx/b3abz6dOndjuLrzW1tbW4cOECOjs7MTc3h9nZWbS2tuKjjz5CW1ubr8MjonWEBfg609HRYfe4KIro6+vD/Py8lyLyrerqavNWZq9/URFFEQsLC7h27ZrdLzBERET+ZmpqChMTE3bP0ev16Onp8VJEvjUyMoInT54AWJrrRVHEnTt3oFKpfBUeEa0zLMDXmbm5OacarWk0Gi9E41tGoxENDQ02j4uiCLVajf7+fi9GRUREtDJzc3MOzxEEYd0MttfX1zv87tPU1OSlaIhovWMBvs4EBwfDaDQ6PG89rH1Wq9UOBxoEQcDw8LCXIiIiIlq54OBgh+eIoujUeWvB4OCg3dlsoihicHDQixER0XrGAnydyc7OtjsKLAgC0tPToVQqvRiVbzi75dpq3JqNiIjWr4iICMTExNjNX3K5HGlpaV6MynecyePM9UTkLSzA15nAwEBs2rTJ6jFBECCVSrFlyxYvR+UboaGhCAoKsnuOKIpITk72UkRERETu4Wi/7B07dkAmWx+b4aSkpDi8+ZCSkuLFiIhoPWMBvg5t3LgRO3fuhEKhsHg8Ojoap0+fRlRUlI8i8y6JRIKysjKbxwVBQFRUFBISErwYFRER0colJibi5MmTiIiIsHg8KCgI+/fvR0FBgW8C84GSkhK7U9AFQeC+6ETkNetj6JMsCIKAkpISFP7/7J13fBRV14CfmdnN7mbTGxB676AIFgRUinQUEVGwYO/1tbyK+ulr7703OigoINJEQEQp0pEmvbf0siW7OzPfH5NKtiabAszz+4VkZ+7ce3ZI9sy5p7Vty/Hjx3G5XMTGxp4xfTDz8vJwuVxERUWV20QIlY4dO5KZmcmuXbsQBKGMgrZarfTv318PS9PR0dHROSNJTU1l5MiRpKWlkZ+fj9lspm7duojiGeB/saVD3lGwJEBsw0pNlZSUxOWXX87y5cuBkkrogiAgCAJXXnklUVFRlRZZR0dHJxh0A7wW4fF42LdvH3v37qWgoIC4uDjatWtHSkpKlawnSdIZFXJ1+PBh1q5dS3p6OqApzmbNmnHRRRdVWHEKgsBll11Gy5Yt2bFjB9nZ2URERNCiRQtatmyJ0WgM51vQ0dHR0TnXUVU48Dts+Bqy9oM1BTrdCG2uAin8OkcQBFJSUqrsWSLsZOyBxU/Bv7NBLSwa2+AS6PMqNL28wtO2atWKlJQUtm/fzvHjx4vDztu1a6cb3zo6OtWKoJ5FTY5zc3OJjY0lJyeHmJiYmhYnJGw2G7/88gs5OTnFntii7+3bt6d79+7ntCd2z549LF26tNxxQRAwm80MHz5cV6A6Ojq1kjNZN9VWzth7Knvgp5tg23QQDaB4QJBAlSG1K9z0K1jia1rKmiNjN3x1ERTkgeopOS6IgADXz4LWQ2tMPB0dHR1fhKKXzoAYpLMfVVX59ddfyc3NLX5d+vu2bdvYvn17jclX07jdblasWOH1nKqqOJ1O/v7772qWSkdHR0dHJ0SW/w+2fa/9rBQamKqsfT++EWbdXDNy1RYWPAwFuWWNb9A84aoCc24H2V0zsuno6OiECd0ArwWcPHmStLQ0vwVCNm/e7Pf82cz+/ftxu30rXFVVi8P2dXR0dHR0aiVuB6z5APChy1UZdv2ieYHPRXKPwp6FJRsS5VDBnga75lWrWDo6OjrhRjfAawFHjhwJGF6en59f7CE/18jJyQlYMEZVVfLz86tJIh2d2oPnwAFc6zcgHzte06Lo6Oj44/gGzbvrFwH2Lq4WcWodWfvwuTlRhCBB5p5qEUdHpzYhZ2Tg2rAR965d56xD7mxCL8JWCwj2D+lc/YMzmUxBvfeIiIhqkObMJz8/n23btrF3717cbndxsb/mzZufGZVxdQAo+GslOa++invT5uJjph49iH3+OYzt29WgZDo6Ol5RPIHHCEJw485GzHGBx6gKmGOrXJSzApcdNn0H67+EnMMQmQTn3wpd7zm36wycYXiOHiXnfy/hXLAAZK0ooaFZM6If/w+RVw2rYel0KopugNcCUlJSAhqYJpOJ6OjoapKodtG0aVNWr17td0xycvI5e39CIS0tjXnz5uF2u4t/506dOsXJkyfZt28f/fr1043wMwDn0mVkjB1bzllUsGoVacOuImnOLCI6dKgR2XR0dHxQpxNIJpD9pEupCjS8pPpkqk2kdICEloUebh/PRKIEba6uTqnOTBzZMKE3nNhUeEAFZxYsfRbWfQG3rah0azedqkc+dpy0IUNRMjKLjW8Az/79ZN13P0pWFlFjb6lBCXUqiv6kXQto2LAhUVFRfsPQ27VrhyRJ1ShV7SE6Opo2bdr4HdO1a9dqkubMRVEUFi1aVMb4hpLIioMHD7J582Zfl+vUElRZJuvxJ0BRQVHKnpRlVJeL7GeerRnhdHR0fGOJh843aWHU3hAMUK8L1O9WvXLVFgRBazXmMwxdgIseBmtydUp1ZrLwYTi5Be1elrqfqqLl2v84pqYk0wmB3LffKTS+T6uLUPjclvPCiyhZWTUgmU5l0Q3wWoAoilx55ZUYjUavRnj9+vXp0qVLDUhWe+jRo0exES4IQrGX1mg00rt3bxo21HdyA3HgwAHsdrvfaIutW7einG7U6dQqClasQDl5slgBl0NRcK9fj3vP3uoVTEdHJzBXvgN1zwOEwq9CBAmsSTDyhxoSrJbQ/loY+hUYLIAAolFrQSaIcNFD0O+Nmpaw9mNLh3+m+i5mp3rg0Ao4+U/1yqUTEordjv2nn8ob36XxeLDPml1tMumEDz0EvZaQlJTEtddey7Zt29i9ezdut5vY2FjatWtHq1atzvmwYFEU6dWrF+effz779+/H5XIRExNDs2bNMBj0X+NgOHXqFKIo+jWwHQ4HNptND+evxXgOHtI8RQHSVuRDhzC2aF5NUuno6ASFOQZu/QM2fgPrvoScg2BJgPPGQrf7ICqlpiWseS64AzqMgm0/QPYBsCRC+5EQU7+mJTszOL4huDoCh1dBnY5VL49OhVBOnQI/HYAAkCQ8Bw9Wj0A6YUW3XGoRUVFRXHTRRVx00UU1LUqtJTo6mk6dOtW0GGckgiAEVcwuUEV+nZpFjIsNaHwD5H3yKYaWLTDo0SE6OrWLiEi46EHtS8c7pmjocntNS3FmIgaZrhjsOJ0aQYgJotigx4Pj57mY+/TG3KtX1QulEzbObbeqjs45RP369QMa4DExMVit1mqSSKcimPv0QTCbA45zrV1L2uCheI4cqQapdHR0dHRqBfUvLAzh94cATXtXizg6FUNKiMfUowdI/k01JS2NjDE34Vi0qJok0wkHugGuo3OOUL9+feLj4/16uDt37lwrPODuXbvIfu55Tg0aQtrwa8j79DPkzMyaFqtWIEZFEf3wQ4EHyjJKdja5r+s5kzo6OjrnDKZoLZ1B8PGILxRWko9vWq1ieUPOzCTvk09JG34NpwYNIfu553Hv3l3TYtUaoh//DyBoaWe+UFVQVbKf/C9qoJB1nVqDboDr6JwjCIJA//79y3m4iwzuDh06BKw2Xx3kf/sdp3r3xTZhIu7Nm3H9vZbc117nZPceuDZurGnxagVRDz6gKeZAtSFkGcfcX1Byc6tHMB0dHR2dmqfPq9BysPazUJhtWlR9P/UCuOrbmpGrFK71GzjZvQe5r7+B6++1uDdvxjZhIqeu6EP++PE1LV6twNStK4njv0OIifE/UFVR0tNxLvu9WuTSqTw1ZoCrqsqff/7JE088wcUXX0xcXBwRERGkpqYyYsQIli1bVlOi6eictcTExDBy5Eh69uxJamoqSUlJtGzZkquuuoru3bvXuPe74K+V5Dz3vLajW7ryp6Kg2mykj7kJJS+v5gSsJQiCQMyjj2AdewsEak/o8SCfPFk9gp2G6nbj/vdf3Dt3orpcNSKDTs2j63sdnWrGEAHXz4YxC6DNVVDvAmgxQKuyf9ufYImrUfGU3FzSb7wJ1WYr205TlkFVyRn3HAUrV9WcgLUIc+8rSPj048ADRRH50KGqF8gLqqriOXAA97btKDk5NSLDmUaNFWFbunQpffv2BbQK1y1atMBqtbJ7925++uknfvrpJ5599lleeumlmhJRR+esxGg00rZtW9q2bVvTopQj7/MvNIPSW9sNRUHNzcX+449EjR1b7bLVRqS6dYMqyCbGBlHMJYyoHg95H32M7Ztvi3uUivHxWG+/jegH7kcwGqtVHp2aRdf3Ojo1gChCywHaVy3DPvNH1Lw83/pLksj/4ktM3S+pXsFqKWJSUuBBioIYF1flspyOY/4Cct9+G8+/u7QDRiOWq4YRO+4ZpBS9q4MvatQD3qJFCz799FPS09P5999/2bBhAxkZGTz99NMAvPzyy/zyyy81JaKOjk41U7Bihf+el0DBij+rSZqaR/V4cCxYQMbd95B23Siynvwvrk2bis9bhg7xb4CLIhGXXFytSlBVFDLvu5+8d94tNr4BlKws8t55l8x77kXVe82fU+j6XkdHpzQFK1b4HyDLOAONOctwbd5M1lNPk3bdKDLuvgfH/AWoHq2dnLF9e6TGjf3ngptMmK/sV03SatgmTyHzzrvw7CqVt+9245g1m7TBQ5HT0qpVnjOJGjPAL7zwQnbs2MG9995LfHx88fGIiAheffVVBg4cCMBXX31VUyLq6OhUN4EMM1VFDWCgny3ImVmkDRlG5h134VywENdfK7FPn07a4KFkPTMOVVEwNGpE5JjR3pWyIIAAMU88jqooKHl5xcq8KnH+9hvOefO9bwyoKs6Fi3Dq1VrPKXR9r6OjUxq1MNTcL+fIRq2qqmQ98yxpg4ZgnzYN118rcc5fQOadd5E2ZBhyZhaCIBA77hm/9yz6wQcQoqNR7HZUp7PK5Vayssh+9rmiN1H2pCwjnzxJ3jvvVrkcZyo1ZoDHxMRgMPiOgO/XT9vF2bVrV3WJpKOjU8NEdDnff2ExUcTUtWv1CVSDZN1/P+7t27UXRZsOhd/tEyaS/9XXAMS9/BLWW27W7psgFOeEi/HxxH/wAc4lSzneoRPH27TjWPOWZD7wIO5//60yuW2TJvvPS5ckbBMnVdn6OrUPXd/r6OiUxnTBBf51vSQRcUGX6hOoBrF99TX2CRO0F0W6vnDzwb19O1n33w+AZfAg4t57FyEqShsjSZrONxqJevQRxIQETl12OcdbtuZY85akXT0cx6+Lq0xu+6zZ4G9TX5axz5iJ6nBUmQxnMjWWAx4IZ+HujcUSqJehjk55PB4Pu3fvZseOHeTn52M2m2ndujVt2rTBZDLVtHg6Poi6804y197t/aQggMFA5PWjqleoQlRVxfX333gOHkKMi8XcsydCFX0+uXfsoOAP/+F3+Z99TtTttyEYjcS98jLRDz6AY+Ei1Px8DM2aYTz/PNJHjEQ+cqREqXs8OH6ei2PBApKmTcV04YVhl92zd6//NAJZxrNvf9jX1Tlz0fW9ToVRVdizCP7+GI6tBSkC2gyHix6ExJY1LZ2ODyJH30Du+x+A2+3dqyvLRN1xe/ULVoh77z7cmzaBQcJ0ySVVlsalejzkffqZ7wGyTMEfK3Dv2IGxbVus143EMnQIzoULkY8cRUxIwDygPznP/R/5771fJhrOtX4DmbfeRsyz44i+956wy+45cAAMBu3/0Aeq04mcno6hYcOwr3+mUysNcFVVmTFjBgCXXnppDUujc6bhcrmYN28eaaVyT5xOJ2vWrGHbtm0MGzaMqKIdRJ1ahXnQQKx33Ynty6/KFmOTJBBFEr74DMlPMRI5PR371Gk4Fi5EdTgxnn8eUTffRMR551VKroKVq8h6/AnkgweLjwnR0cT85zGsd9we9urxzuXLNe+AnxA8JS0Nz7+7MLZvB2gF2aLG3lJ8PvORx8oa30UUhv5l3ns/df9ejRCoinqIiHFxyAf9V2IVqrkonE7tRdf3OhVGVWHRY7D6fa3Fllr4Wbf2M1j/JdwwB1r0r1ERdbwjJSeT8PmnZN51T9muJ4V633r33ZgH+C4epxYU4Jj7C7YfZqCcPInUsAHWG27A3P9KBD/RNoGQjx8n85HHcP1ZqtaMJGK55hriXn0FMTKywnN7w7NrN0qgPGlRxLl8OcbCwrmixULk8OHFp+2zZuGYM0d7UXozo/D5IfflVzD36Y2xVauwyi7GxASVJiDqz9teqZV9wL/66is2btxIREQEjzzyiM9xBQUF5ObmlvnS0Vm1ahXp6elez9lsNpYuXVrNEukEiyAIxD7/HIkTJ2Dq1RMhLg4xJRnr6BtI+XUhliuv9Hmta+NGTvboRe5bb+PevAXPrl04Zv5I2uCh5L73foVlKli7jvTRY8q191Dz8sh54UXy/e1eVxS3x3+xlSIZPN53npXsbByzZ/v2RCsKyokTFFRBz9DI4cP9yy4IRF4z3Pd5nXMKXd/rVJjtMzXjG0qMbwDVA7ILvr8G7Jk1IppOYCz9+5OyeBGRN9yAmJKMEBeHqVdPEidNJO75Z31ubCtZWaQNvYqshx/BtWoVnj17KPhjBZl33U3G6BsrHPKsZGeTNvwaXKtOa38mKzh+/ImMsbeGvQaN6g6iPacgaM8EPsj/bnzAcH7b5CmhCxcAy9Ah/qPdJBFTz56Ipep+6JRQ6wzwDRs28PDDDwNaVdTmzZv7HPvaa68RGxtb/NVQD3E453E6nezevRvVR6EKVVU5ceIEmZm6Uq6tCIKAuU9vkiZPInXbP9TbuIG411/zu3ur2O2k33Sz956iQN7b7+CoYOGv3FdeKfYaez3/9jso2dkVmtsXxs6dA1aDFywWDC1aeD3n2b/fb1gYAJKEe8eOiorok8hR1yHVq+c9D1ySEOvUwXrD9WFfV+fMQ9f3OpVi1Xsg+HqMVcHtgE3fVatIOqFhbNWK+Ddeo97GDaRu+4ekyZMw977C7zVZjz2Oe+dO7UWRvi/UlwWrVpH90ssVksU2YSLy0WM+26C6/loZ9k1rQ4sWgVPZZFl7JvCBZ8dO/55oWca9bVsFJfSNsXVrzQj3ZvwXbp5EP/ZI2Nc9W6hVBvj+/fsZMmQITqeT0aNH8/jjj/sd//TTT5OTk1P8dfjw4WqSVKe2kpGRgRJESMyJEyeqQRqd6sIxazZqVrZvJSRJ5H/+Rcjzeo4cwbV2nX/l5nbjmL8g5Ln9YepxKVKTJr6LmUkikdePQrRavZ4WzObAi6hqcONCRIyJIenHGRhaFeZfSlLx+zC0bEHyjzOqvS+5Tu1D1/c6lUJV4egaUAPo+8Mrq0cenWrBc+gQzsWL/UZ32adNR8nJCXlu2/Tv/et6ScJWmC4TLkSrlcgbrgfJhzkmSUhNmmDq4Sc9J1BdI0Gosno18e+/h+WqYdoLUdRywgEhJoaEr7+ukjozZwu1Jgf8xIkT9OvXj+PHjzN48GDGjx8fMK/SZDLpBbV0yhBsLm64c3Z1apaClSv950zLMq6/16J6PCHlhwXMzQKQJORTp4KeMxgEUSTxqy9Ju3Ykan5+ycNG4e+tsUNHYv77lM/rDa1bI9VP1XbzfaGqmPv1DafYJes3akTK4l9xrVlDwarVAJguvoiIiy8O29+efPw4jvkLUHJyMDRujHnQQES9iNcZga7vdcJDoM8SwY+HXOdMpGDV6sDty1wuXBs2YL7Cvyf9dBQfqYvFyDJKFThvYp56Etf6Dbi3bNEOFL0/SUKIiiLxqy8R/ISYWwYNwj59uu9NCVXF4iefvjIIZjMJH3+E5/H/4FiwENVmw9CyBZYBAxDC9HmtOBw4583Hc+gQYlwclsGDkOrUCcvcNUmtMMAzMzPp168fe/fu5bLLLmPGjBkYjcaaFkvnDOHEiRNs376dtLQ0RFFEEASfIehFpKamVpN0OtVCIIVcQcSUID7kPR6kenXDvraxXVtSFv+K7ZtvsM/8ESUvD0ODBlhvupHIm270a2wKokj0I4+Q/cST3geIIpbBgzA0aRJ2uYtlEARMF1+M6eKLwzqv6vGQ88KL2CZM1A6IIng8CM+MI+6N14i8+uqwrqcTXnR9r1Nhsg9qBdZ2zwPFA9Y6YDvhxwuuQtM+1SqiTlUTpK6vwCOBWCcFef8B3wMkCSm1fugTB1o3KorkH2dgmzwF28RJeI4cQYyOInLECKx33I6hvv81o+68HfuMGdpz0OlOCElCTErCMvzqsMtdGkOTJlVSad3+409kP/MMar5N867LMjn/9wLW224l9vnnwl5EtjqpcQM8Pz+fQYMGsXXrVrp168bcuXP1ViQ6QbNu3To2bNgQlNENmlHQsGFDYvUQ2LOKiG7dcPw81/cAUcTYsWPI1VEN9VOJ6H4JrtVrfHvXzWYsgwaFNG8o68c+/xyxzz8X8rWRN1yPfOIEee++V5KjJQjg8WC6rBdx774TZmmrh5wXXsQ2fkLJpkvh/4uan0/WAw8hRsdg7tO7BiXU8YWu73UqzJ5FMP1qkN0lBdcE0bfxLYhgjoNON1aXhDrVQMQFXQMPMhownuc7Z9oX1tGjyX31Nd8b+rJM5PXXhTxvMAgWC1F33kHUnXeEfK2xZUsSx39L5p13o9rtmr4v1PVS3bokTp3sM12tNuP49VeyHnq45EBRz3FVxfbNtyCKxP3f8zUjXBio0dicgoICrrrqKtasWUP79u1ZuHAh0dHRNSmSzhnE/v372bBhA4BP47sorLHoe0JCApdffnm1yKdTfUSOuAbBavVdCVRRiLr7zgrNHfvcs2A0+pw79pmnEWvh55YgCMQ89ih1Vv1F9IMPYLlqGNabbyJpzmwSJ00MezuV6kA+flzzfPt6QBIg9403q1conaDQ9b1Ohck7DtOHg6fgtGrnpYxvoZQnTBAhIhrGLACT3gLpbMLYojmmXj391EeRsAwfjpSQEPLc1ptuxNCsmfe5RRFTn96YevYMed7qwHzZZdRdv5bYl1/CMnw4kdeOIP6zT6nz1wqMPoq11mZUVSX3tTd8d1QpNMLlYNIEayk15gGXZZnrr7+epUuX0rx5cxYvXkxCBf5gdKoOh8PB9u3b2b17Ny6Xi9jYWNq2bUuLFi0Q/bU8qCa2bNkS0PMdX9j+wGKx0Lp1a5o2bYp0Boes6HhHjIkh8btvybjpZlS3u3xP0TvvwDJsWIXmjujUieSZM8h68ik8paqGi0lJxDz1JNbRN4TjLVQK1eHANm06tkmTkY8cRoiJJXLktUTdOhZDw4bEPOG/wNWZgmPBQv8DFBX3tm14Dhyo0vB6ndDQ9X0tx+OCLZNh/ReQtQ8sCdD5Fuh6N0Qm1rR0sOFrkAvwGVcsSBDbCMyxYLBAm6vg/NvAmlytYupUD/EfvE/aNdciHzigHVDV4howxg4diPvfixWaV4yOJumnmWQ/9V+ci34t2eiNiMA6ZjSxzz3rNxe7OlBVFefi38j/5lvcmzaBJGHu24eoO+8gomNHosbeAmNvqVEZw4Fn7z48u3b5H6QoOOYvIOqWm6tHqDAjqMHE7VYB06ZNY/To0QC0bNmSlJQUr+Pq1avHjCCrDubm5hIbG0tOTg4xMTFhk/VcJCsri7lz51JQUFBs4BYZu/Xr12fAgAE1asgqisLXX3/td4wgCDRr1ow+ffQcsHMFz+HD2CZMxDFvPmpBARGdO2G9dSymnj0rXfxLVVXc27YjHzqEGBtLxIXdEGpB7qqSn0/6ddd7LeAixsaSNOvHM3IHHLR7XrDiT2yTJuHevgPVbtcK5QTodJC8YB4RnTpVk5SBOdd1k67vazEuO0wZCAf/KBvSLYgQVRdu/QMSfLeHqxbG94YDy/yPMcXC09nVIo5OzaPk52P/YQa26dNRTqUh1a+P9cYxRA6/OizdPeRjx3Ft2QySAVO3rohxcZUXupKoqkrOi//D9tXXxc4FQPtZVYn/6IMzugaKe89ebBMnUrD8D1SnA/nIUf8XSBIxTzxO9IMPVI+AQRCKXqoxD3hBQUHxz7t372b37t1exzVu3Li6RNIpRFVVfv311zLGd9FxgKNHj7J+/Xou1NsL6NQyDA0bEvvsOGKfHRf2uQVBIKJDe+jQPuxzV4bcV1/DvXVr+bBsWUbJySHzrrtJWfLbGVf5X1VVsp8Zh33ipLIPG4EQRaQARWt0qhdd39diljwDh/7Ufi4d0q0qYDsFP1wLd2/wHQpaHQRqNaYNqnIxdGoPYlQUUbfdStRtt1bJ/FJqPSyp9apk7oriXLRIM76hrD4s/DnroUeI6HYhhvpnXpFh+5yfyXrwIe1FsLpelpHOYJ1RY7EUY8eORVXVgF8HikJMdKqNY8eOkZOT4ze0e/v27XiKCiLUAKIokpKS4teoUFWVevWq5gM0PT2d5cuX88MPPzBz5kzWrl1Lfn5+laylc+agulyoQfShDxdKXp7Wu9SXwpJlPP/uwrV2baXWqYlAKfuUqZrxDcErZEnC3P9KpMRaEDarU4yu72spBfmw4SvfBq7igROb4MjqahWrHE0u999OTDBoY6qCvBPw+4vweRf4uB3MugWO/F01a+mcMaiyrKW7VSP533zrO/cdQFWxT51aqTWKPourE/fefZrxLcvB63pBQIiNxdL/yqoVrgqp8SroOrWPkydPBsytdrlc5Obm1mgeX8eOHVmyZInXc4IgYDQaaVEFobf//PMPq1atKnOPsrKy2LJlCwMGDKC+7n07a1E9Hpy/LsY2fTry0WNIdeoQOeIa5MxMbBMmIu/frxmBva8g6v77MHXrVqXyuP/dBaW8i14RRVwbNmAKMWJFdbu1tijffYdn336IiMAyaCBR99yjRQJUIaqqkvf5F5rXLdiHAUlCjInRiubp6OgEJm0buO3+xwgiHF4JDS+pHpm8ccGd8OfrILvw6ulWPXDxI+Ff99BKmDxAu0dFxd8yd8PmiXDFS3CZ/llzNuPatAnbxMm4tmxBiLRgGTgQKTUV25QpuFauAlXF0K4dUXfeQeTIa6s8ysy9YaN/A1VRcK3fUKG5ncuWkf/5lxSs0t5XxAVdiLrrLswDB1T5+ypuKRosoqiF3L/5Rth6jdcEugGuc8bSrFkz0tLSyhVjEwQBSZLo378/ERERYV3z2LFjrFq1CijrFVRVFVmWWbRoEaNHj8YchhwkndqF4nCQcctYXH+tLA6J9uzaRcHy5WUHyjLOpctw/raE+I8+wHL11bhWr8Y+azZKRgZS/fpEXnddpYxY1emk4O+1uLdvC0JwhYLf/yDqzjuD7pmpulxk3DKWghVFoakqFBTg+Hkujrm/kPjtN1Xa6kvJzNQ2M4JFFDFf2Y/Y557FcAaHpOnoVCv+vMoVGVdVxNSH62bA9yO0zyK1MPpONGhe+n5vQtMrwrumMxemDga3rWyEgFK49rLnoO550HpIeNfVqRXkvvseee+8Wyb9yV1k3BYagACenTvJfvQxXH//TdxbbyIfOIBt2nQ8+/YhWKOwDBmMufcVFe5Xraoq7k2bkE+eDCoNxL19O3JmZkhV4PM++VRrv1bqvbrWbyDzzruIuv8+Yp95ukKyB0vBihXBe74BY4cOxPz3ScyXXVaFUlU9ugGuU4769euzbt06v2MsFgtxNVyUQhAELr74Yho1asS2bdtIS0tDkiSaNm1Ku3btiIoKf/uRQJXXPR4PO3fu5Lzzzgv72jrVg6qquNatRz54ECE2FnPPHghmMzkvvIhrVWEoZpGy8BVuXpST9chj2KZ/j+vPv0qUmyRh++ZbIm+6kbhXXylXVVX1eFDz8xGiosr1LVdVlfxPPiXvk09Rc3ODfk8FK1aQ/dzzxL/6SlDj87/6WjO+veSVIwhk3nMvdTeuR6yCvzEgOK+3wYDlqmFE3XkHUmqqHnauoxMqKR21XtnObN9jVAWaVt1mW9C0Hgr3b4e1n8CuX0D2QOMecOED0OCi8K+3ZTI4c/BbeX3VO7oBfobjOXAA18aNIEqYul+ClJyMY/4CzfgG74Zhab1f+LN92nRUhwPHnJ81A71Q1ztmzsTYsSOJUyaV01GqoqDm5SGYTF4LxzmXLCX7/14IaTNaycwkfcRIkufNDarVqOuffzTj+/T3Wvi+8j/5FFPPnph79ghahpAJQt+LqakkfvMVYlwchkaNqk6WakQ3wHXKkZKSQnJyMunp6T4NzY4dO9aKVmQAqamppKZWT9GJY8eOBcyPOXbsmG6An6EUrFlD9hNP4tm7r/iYEBND1D33YP/+h4DVt8vh8WgecyhRboXf7ZMmY0hNJfqhB7Whhw+T99En2GfO1MLKzWYir72W6IcewFCY1pD70svkf/Flhd6bfcJEou+4A0Ozpn7HqYqi5Zr5+j1XVVS7HcdPs7DefFOFZAmEmJiI1KQJ8sGDvuXweDD37UtEx45VIoOOzlmP0QwXPQTLX8KroSlI0Lgn1O1c7aJ5JbEFDHhP+6pqDiwDBHwa4KqsVY5X1ZotUKdTIeSTJ8l67D8U/F4qgk2SsIy4Bs+u3cVtzYJGEHDMnlM4eVld796+nczb7yRp1o+aA8fhIP/Lr8j/bjxKWhoIAqbLehH90IOYLtI2k5xLlpJxy9jQ35iq4tm9G8fMH4PSz7bxE/0XOZUkbN99V6UGuKlnDzz79vmVwdyrV63qbBIOaocFpVOrEASBfv36ER0dXe44aG1kOneuJQq5FlJDnf10Kolr40bSR92AZ/+BMsfV3Fzy3nwTKlpwxc/vQ97nX6AWFODes5dTAwZhnz69JKfb6cQ+bRqn+g/AvXcfngMHKmx8AyBJ5E+ciOPXxTiXLEXJyfE6TMnORjl50v9cBgOurVsrLksABEEg6q47fd87SUKsUwfLwAFVJoOOzjlBr+eg3UjtZ7HQJ1MUcp7YCq6dXjNy1TSqqtnfwYzTOaNQcnNJGz6iJMWqCFnGMWOm1l871M12f78Hsoxr7VrcGzehOhykX38DuW+/oxnfhdcWrPiT9BEjsc+Zg6ooZI97NvC8fsifOhXn8uU4Fi3Cc+iQz3GujQHyymUZ16bNFZIhWKyB+ngrSpVVu69JdA+4jleioqK49tpr2bNnD3v27MHpdBIXF0fbtm1JTU0941oaVYSCggKysrIQBIHExEQMBgN169bl6NGjPo1sQRCqrPK6TtWS88qroMihK95KoObk4Nq0iZxXXkXNyyuvCGUZNTeP7Mcfx9S9e2jtuE5HUbB99XVJGxOTCeuY0cSOe6ZM+Fuwvc2FMNdXOB3rTTfi/ucf7NOml33foogQHUXixAm1og+7js4ZjWSAkdNh722w/iutyFhkMnS+CdqP0rzkZzuyB05sBI8TktqANVnz/O/4yfc1ggQNLtY8pTpnFLZJk5EPH/au66tqQ8VgwPnbbziXL8e1YWP5tQvTu7Ie/Q9CdLQmX0VRVTxbt5Ex+sbiQ6bLLiPuzdcxNGhQZqhgCqzHq1rXG1u0IP7998h6+BEtmqR0f3NFIe6tNzG2b1elMtQEugGu4xODwUCbNm1o06ZNTYtSrbhcLlavXs2uXbtQCj8kIyIi6NChAx06dODIkSM+rxVF8Zy7X2cD8rHjJfnd1Yx7z96S4i7ekGVcf69FTEysXKjj6Q8WBQXYxk/As/8AiRPHF+eii9HRGC/ognvjJt+bER5PlRZhAxBEkbi33sQyaBC2CRNw79iJYLViGTYU641jkJKTq3R9HZ1zBkGAFv21r3MJVYU1H8KKV7We56BFAbQbCZe/CBHPFlZA92aoyXDJY9Urr05YsE+bXq0b7QAIAkpBAY6pU32vrargcuGYM7fy652m7wv+/JO0ocNIWbgAqU6d4uPmK6/EvXWbb5kkCfOAqv9ciLxmOMb27bB9Nx7nHytAVTH17EHU2LEY27Wt8vVrAt0A19Ephcfj4ZdffiEjI6OMl9vlcrFhwwaaN29O165dWbduXbnK60Wh+5FBFL7QqV3I6WmBBxUZv8HukAfTQksUweMJajpVUcK/O68oFCxbRsHvyzH3LqkiHP3gg2SO9RHyJUkYWjTHVA0VSAVBwNz7ijKy6ejo6ISFxU/CyrfLHlM8sO0HOLoGhk+CH0dr7c+K2pAVVV7v8V9od031y6xTaYLS9+HG7cbQtClKWrr/cZKEkpkZ/vVlGSUjk7zPPifuhf8rPmy9cQz5n3+OaneUN8JFEQwGosbeEn55vGBs3Zq411+rlrVqA3rsjE6tRlEUDh06xNKlS5k/fz4rVqwgLa3qPjx37tzpt/jc3r17qVu3LsOGDaNp06ZYrVZiYmJo3749I0eOpNFZUp3xXCMob6qqItatG/ykFguG5s21MCqvi0qYBw9CqlvH+/nTMPfq6T/8XJLAaPS9np/rbNO/L3PI0q8vsf97UdtEKJqv8LuhcWMSJ00qV71dR0dHp1Kc2ALzH4RJ/WHG9bBjlhYeXhWk7SxvfBehypB9EI7+rVVev+QxSGgBMQ2h9TC4ZSn0PXcMhbMNKSWAzhVFxKJnuSCjzsxDBvtORxBFxPh4LIMHBTWXoVFDxDoBZDQaQ4+Ik2Xs06Zpm/mFSMnJJE6ZghAVpc1X6kswmUgc/y2GJk1CW0cnKHQPuE6txeVysWDBAk6ePFnsbRYEgR07dtCmTRt69uwZ9lz0HTt2+D0vCAI7d+6kd+/e1A3FGNOp1Uj16mG69FIKVq/2beSaTKT88jOORb+S88y4gHOaLuhC7IsvkDZ8BGp+ftl5RRGpfn3iXn6puAWJ6nT6nEuIjCRy5Ejc/2zVqrGfvkEkSQgWM/FffE7+Bx/i+nttMG9bQ5aRvaRVRN1+G+Z+fbFNnYZn1y4EiwXLgAGYB/TXc691dHTCh6rC4qdg5VslHmZBgm3fa722b/pVy8sOJ5u+K1nLq0wyrP8C+rwCV76pfemcFUSOvp7cl1/1HVGmKMS99D8EIPOx/6BmZPifUBCIe/cdMo4exb15S1lPsiSBwUDCl18gxccTcemluPw9Z3g8WAYOJOLCC8m6736fS8a9/iquv9di//Gnkig6ofAfP5Fyar4N1eFAsFqLj5m6XkDdv1dj//FHCv5aCapKRLduWK8biRgf7/+961QY3YWhU2tZtmwZp05peVlFHumi7zt37mTz5vBXZszPz/d7XlVVckPov6xz5hDz7DNgMPjcxY558gmkunWJuuVmDC1a+N99liQMLVtibN2alMWLsI69RdthBsSkRKIfepCU+b8gJSUhRkdjvfMOv7JF3XUnotVK3BuvY73rLjitKIqhVSuSf/oJy+WXkzzrJ1J+X0rCV1+SOHkiUqDda0ny6YU3NGpE7H+fIvHbb0j45GMsQ4foxreOjk54WfeFZnxDiUFcFPJ98h/4YWT418w+4D23uzSOTK0wm85ZhXXMGAzNmnmPFhNFTL16aalPfftgvXaE/6gyQUBq1AjJaiV5xg/EPPM0UlGhM5MJy4hrSFk4H1P3SwCIeehBv/nWxs6diLi0O5FXDSP+4w8Rk8r2DhcTE4n/8AOs119P/LvvUHfDOhK+/ZqEb74i8oYbAkbACWYzgsVS/m1HRxM1diyJX31J4tdfEX33XbrxXcUI6lnUMyk3N5fY2FhycnKIiYmpaXF0KkFOTg7ff/+93zFms5kxY8YghRpy64epU6f6NcIFQaBRo0b073+OFas5R3Bt2EjWk0/hKRUJISYkEPPE42V6auZ/N56c5573u9OcsmQxxtMK8qmyjODl91WVZbKffgb7lKllFagsE3nTjcS98nKZ65TsbJzL/0B1OjC2bo2xc2ef0SB5H39C7htv+i06k/D1l1gGDvR5Xqdy6Lop/Oj39CxBUeCDZpBz0P+4u9ZB6gXhW/eX+2DDV7494AAGMzxj0yudn4XIGRlkP/kUzkW/luhxo5HIG64n7vnnio1U9549nLrMTw0SQSD2+ee0tpmlUGVZ69jhRS/bZ8wk64kniyufIwjg8WDs2FHbNE9KKpnH7aZgxZ/Ip04ipdTB1LOHz01w1z//kDbAT5i7JGEdM5q41171PUanUoSil3QDXKdWsnXrVlauXBlw3NVXX01KSkrY1l23bh0bN27028u7b9++NGvWLGxr6tQuVFXFvXUr8sFDCDExmC6+qFwbDrWggPQbRuNau66sYVtYeC3qwQeI/e9TIa/t3rUL+8wfkU+eQqpbh8hrR2Bs2bJS70fJyeHUgIHIR4+VD3sTRSIu6ELSzBkIBj0jqarQdVP40e/pWUL6Lvi4tf8xggSXvwCXPRu+dQ/+Cd/19H1eNEDnW+Cqr8O3pk6tw3P0GO7Nm8EgYerWzavXN/fd98h7593yhVVFEeP555H8w/dlWnkGg5yRgX3GDDz/auld5gEDMPW4tNK1VTLvfwDHnJ+9p6lFRZGyaAGGhg0rtYaOb0LRS/oTl06tRFGUMlXG/Y0LJ+3bt2fHjh04nc5yaxf1A2+iF6Q4qxEEgYiOHaFjR99jTCaSpkwm94MPsU2chJqTA4DUpAnRD95P5HXXVWhtY6tWxD7zdIWu9YUYG0vyTz+S+chjuP78s9QJEcuwocS98bpufOvo6NQMsivwGEEIblwoNLoUWgyEvYvKh6ILEhgs0CP0TVSdMwtD/VQM9VP9jol57FEMDRuS99HHePbuBUCIicF6801EP/JwyMY3gJSYSPQ991RIZn/Ev/8eYkICtkmTwe0uPm5s1474jz7Qje9ahO4B16mVHD9+nLlz/fdCFEWRm266CZPJFNa1c3Jy+O2338g4rfBGw4YNueKKKzAXfth6PB6OHTuGy+UiLi6OxMTEsBeF06n9qC4X8pGjEGFEql+/Vv8OuPfsxbVhA4LBgOmSi5Hq1atpkc4JdN0UfvR7epbgdsBbdcCV53/cDT9D66HhXdtlh7l3wj/TtNeCoBnjCS3g2uklIe+qCodXQs4hiEyCJpeDpNfCONdQVRX52DEocCHVT0UI87NnOJEzsyhY8QeqswBju7aaU0GnytFD0HWFfMajqiozZswgJyfHqxdcEARatWrFZVXUi1hVVU6dOsWpU6cQBIEGDRoQFxdXfG7Lli1s2LABd6kdxsTERHr16kVyMC2tdGo1qqIgHz8OqopUr57XvG0dnWDRdVP40e/pWcSi/8DqD0oKr5VGkCC6HjxyAMQq+hzOPgi752sF1+qepxnYRRupexfDL/dC1t6S8ZHJ0O9NOH9s1cijU63I6emoNhtSSorXAmU6OsGiG+C6Qj4ryMzMZO7cubhcrnJGeEJCAkOHDg3K+60oCseOHcNmsxEZGUn9+vURK5Fns27dOjZs2FDuuCAIiKLI8OHDSUhIqPD8OjWHqijYJkwk//PPNa82INatS9SddxB15x26Ia5TIXTdFH70e3oW4bLBxL5a321VBQr1vWAAowVuWQL1uwU31/GNcHKLFkLevB9YKlHJef8ymNivMETdy6PykC+g610Vn1+nRnH+sYK8d9/VarmgVQiPHHUd0Y//B0l/htOpALoBrivks4b8/Hy2bt3Krl27KCgoICoqirZt29K+fXuMQbRD2rdvHytXrsRutxcfM5vNXHLJJbSsQHEru93OlClTfOam61XSz1xUVSX7yaewT51W/qQgYBk6lPhPPvJaJEU+cQLHL/NQsrORGjbAMmQIYqk+mzqhIx8/jufAAYSoKIzt21e6OE1Nouum8KPf07MMt0NrR7b2M8jeDxFR0GkMXPwoJARR9PTUdph1MxxfX3JMMkG3+6DfG6GHjKsqfH4enNwK+Kg1Y4qFx49rmwQ6ZxT2OXPIuv9BLdLhtL7dUv36JM+b69UIVxwOnPPm4zlwADEmBvPgQRjq169Gyc8+lPx83Nu3gyBg7NAB8QyOQtANcF0hn9OoqkpWVhb79+9n/fr1PsddccUVIRvhW7ZsYfXq1QHH3XzzzcW54jpnBs4/VpBxw2i/YxK++QrLgAHFr1VZJuell7F98612QBTB40GwWIh95SWso0ZVWi7PkSO41m8AQcB00YVIdbz37D5b8Bw4QPbz/0fB0mXFlVylhg2IefxxIq8dUcPSVQxdN4Uf/Z7qAJB7FA6ugLl3aZ70csayAJ1uhGsmhjbvqW3waYfA40bOgPbXhja3To2i5Odz4rwuqE6n91aikoT1xjHEvfpKmcP2OT+T/eSTqPk2MBg0w11ViRwzhriX/+ezPVgochX8+Seqw4GxdRuM7dpWar7ajuJwkPvaG9inTNH+LwDBasV6y83EPPF4ue4zZwJ6FXSdc5bDhw+zZs0aMjMzA45dvXo1zZs3DykcPT09PahxTqfTrwHucrnYs2cPOTk5GI1GmjVrpoet1zC2SZO0Htynt+oqQpKwTZxUxgDPeeU1bF9/XRKdWLiTrjocZD/2OGJ0DJZB5ftrq04nSmYWQkw0YlSU1+XkzEyyH38C56+LSx4SBAFj585E3XcPlv79i6uXK/n5OBcvRsnKRmrQAPMVl1f6YaAm8Bw+TNqQYSi5uWUejOTDR8h6+BGU7Gyi7ri9BiXU0dGpFWTug4UPw655eA0PL0aFLZOg+3+gbufg58/YE3iMIELeMf9jFFmT8dAKQNDyy1sM0HuL1yCOOT+jOhy+B8gy9u9/IOa5Z4u9sc5ly8i6/4GSMZ6S/vH2KVMAiH/jtXJTqbKMkp4OBgNiQoLXIq2qLJP39jvkf/lVsSEK2sazdewtWG+4ATE2tnhswR9/4Nl/ADE6GnO/voiF9YnOJFS3m4ybbsa15u8yEQiqzUb+Z5/j/vdfEr/79qxO+9MNcJ2zhgMHDvDrr78GPd7hcHD06FEaBtmWQVEUDh48GNRYf8b3nj17WL58ObIsI4oiqqqyYcMGmjRpwhVXXBFUaL1O+PH8u8u38Q0gy7h37Sp5mZ6O7ZtvfD/7CQK5r7+BeeAAUFXN6M7NJe+9D7DPnAHOAhAEzH37EP3Yo0R06lR8qWK3kz5ipNbypPQOvari3rSJrLvuIScpiajHHkXe+S+277+HgoLiPqViUhJxr72KoXkzHPPmo+TmYmzWDMvVVyHWYm9h7ptvoeTklA0JLEXOy68QOeIar71adXR0zhGyD8LXF4MjE//GdyGiATZPhLrvBL/Gpu8Cj1EViPbTwurkVpg2FLIPgGgEVFj5llZlffQ8SGoVvDw6YcOzdy8YjWXadJ2O6nSinDiB2LQpALlvvl0+XL14sIp9yhSiH3oAKTVVM6IFAdvX35D/zbcop04BYGjblugH7iPy6qvLXJ793PPYJ04s96ssHz5C7kuvkPvGW1hvvgmpYQPyP/4EJS29pCd5RARRd9+F9fbbcM75Gc+RI0gJCViuGoahceNK3aeqxDHnZ1yrfESTqioFS5bi/O03LGdxOqdugOvUOC6Xi927d7N3715cLhcJCQm0a9eOOnXqBN3SSVEUVqxYEfLaWVlZQRvgBw8eLFP13BcNGjTwaYAfOXKEpUuXFr8u3cf84MGDLFu2jCuvvDIoeXTCixAdHXCMGFUyxrlwkX+DXVXx7N1L5l1341yytMRALjxX9N25dBnO35eTNHkSph6XAmD//gc8u3d7D48rRElPJ/eZceXWLDqXeWdhcSBJKuyjK5P94v+If/01IkfWvpBJOSsLx6zZft8zHg/22XOIunVsdYmlo6MTLhQFds+DDV9rRmlUPeh8M7S7FgwhhJsue14zvr1VTfe6rgdObA5+flu6JmcgDJHQaoj3c/mnYPzl4MwulKHUs0PWfhh/Gdy/AyxxwculExaEqCifm7zlxqFFZrm3bAk4PvvJp3Bv246SllZiIJfC8++/ZN3/IJ59+4l57FFAaw1qnxAgPcLlwvb1N2WPFc3tcpH/0cfkf/yJtqYkgSKT++ZbRN44hriXXyqOlKtN5L73vv8BkoRtytSz2gDXY2B0apTc3FxmzJjBX3/9xYkTJ8jMzGTv3r38/PPP/PXXXz6LnZ3OkSNHcPgLKfLBhg0byM3NDWrsyZMng9oQyM3N9Wmor1+/3uccqqpy4MCBoMLnawrV6cT+409k/98L5LzyKgWrVgX9f1TbsQwbWmIge0MUsVw1rPilkpsbVBihc+EizfgGTWmefr9kGWSZzIceQi0Ma7NNmx6y/D6RZS1cTlXB6STrkUe1DYFaRs4L//NvfAMYDMiHD1ePQDo6OuHDUwBTh8C0YVpI9sktsG8x/DQGvukOjqzg5inI1/p2B2t8F7F/KWz/MbixJzZqRnsgFBdk7vZ+bv2X4MzyLqcqQ/7J4LzsNYWqwv7fYfFTsPBR2DIF3M6Al50JWAYN9L95LopEdL0AqbClrJITxDOiqlKw/A/N+C58XY5Coz/vnXdx79wJgH3mTM1oriyqqs3vdoOs5abbJ08h5+VXAl9bzTgW/4Z84ID/QbKMfPBQtchTU+gG+DmMqqrY7XYcDkeNGFGqqrJgwYIyFcqLjgNs376dHTt2+J1DURQOHz7MrlKhwaHgdrtZuXJlUGOD9cbn5uaybdu2csftdjsnT570e68FQWDfvn1BrVPdFKxcxfGu3ch66GFs4yeQ/+VXpF97HWkDByGfPFnT4lUa6/WjEJOTvCtDSUKMjcV6043FhwxNmvhX4kUEsdOOoqCcPIVz2e/ay5MnAxujFUUUyX3n3aqZu4LImZk4Zs8KYqCsh5/r6FQERxbkHgM5CMOyKvjtv7B3kfZzkVGqFn42ntgEc24LPMeJzbD6vbLe5FCYcxu47IHHCUEaRKoC8x/wfm7rtJL35/1ibSOhNpJ7DL64ACZcAavehb8/gZ9uhHcbwIHlNS1dpTG2aYO5f3/fG+iqSnShhxrAUD81OCM5WJ1d6N0FSrzlVYGqYvtuPHItc+rkBfJ+AwgCYlJilctSk+gG+DmIoij8888/TJs2jcmTJzNp0iRmzpzJrl27qtUQ//fff8nJyfG75pYtW3yeP3LkCNOmTWPBggUVNlpVVeXQoUPYbLaAY+vXrx/0/fFmgHs8wT34BBPmXt24d+8m/cabUIt2gj2e4iIk7u07SL/+BtRaKHcoiLGxJM2ciVSUkmAwaF+AVK8eSTN/QEpKKh5v7tsHMSEhfMpTkrSwc0CqW7fqlLKi4N68GfnY8aqZvwIULF0GnuA2MyxXX1X1AunonC3sXgDf9IA3EuDd+vB2XVj6fHCGaLjIOqAZcb4MUlWGnXO00GxvZB+Er7trbcGWPV9BIVQoyIXtMwMPrX8hGCODmFKBg394L9hWEITX1JkTeEx143HBxD5w8h/tteIp2fBwZsHkAZC2s+bkCxPxH3+IuV8/7YUkaTnhgoBgNhP/4QeYL7useKwYH49l8KDweKpBqydT6AGXUlKqbrMdwOPBuXhx1c0fInJaGu7NQaSDqCqRI87MrifBUvsSA3SqFFVVWbp0aTmDNSsri99//52srCwuuuiiKpXBbrezbNkyjh49GnBsbm4uNpuNqMJcHLvdzo4dO4oriIeLnJwcrAH6NtevXx+r1RqUsW6z2VBVtYzXPDIyEkmSkP14TVVVDWr+6ib/8y81g9ubN1eW8ezajXPRr1iGDK5+4cKIsXkz6qxYTsHvyylYuRJUlYiLLsTcp0+5apxCRARxb79J5h13lS/O4iX/KyCKghCpPfRF3nA9Oc8+V9m34385Wz61pb6oag/OGDD17o0hyJoNOjrnPOu+hF/u1qp1F+HIgBWvwN5f4ZalEBGEoVlRZA8sfgL+/jiIkG4V9i+DeK3oFW6H5iHe+A0c/Tu4kPBAiEbI+DfwOFMUdByt5aoHQ+YeSGxR9lhyO8g77j9U3p2vGbyh5L9XNTtnQboPA1tVtP+HVe/CsC+rV64wI0ZGkvjt17h37NAKlebnY2zeXCtU6qUeTMy4Zyj4ayVKdnZwkW/+EITi7ieRI0eS9+FHlZvPH6KImpdfdfOHSLC6XoiLwzL86qoVpobRDfBzjL179/r1Fm/evJmmTZuSkpJSJeu7XC7mzp0bdN41lISkHzt2jAULFvg1YCtKhI9+gw6HA4/Hg8ViIT09PSTj+ODBgzRp0qT4tcFgoHXr1mzfvt3vdfv27ePIkSM0aNAg6LWqGsfcuQFzphzz5p3xBjiAIIqYe1+BufcVAcda+vcnadpUct54E/eGDdpBUcTQrh2erVtDXFjAUliAL3LUddgmT9YqswcTwh4qJhNSqla9V3W5sM+eg33qNDxHjyAlJxN53XVEXjcSMTI8D+fy8ePYpn+PZ+e/CJEWzAMHlNnUMLQOrhpw7EsvhkUeHZ2znrwTMP9+7efTPc+qAsfWauHcvcaVvzZc/HI3bPyOoCqVF8kFWn70N90hK8zpWKoCET6KbRbkgz0NLIXtQHfND37ejd9AywFlj3W9V9vk8EfecVg6Dq58K/i1qprtP2obNr6iFRQPbPv+jDfAizC2bYuxbeB+24YGDUie/ws5L7+Cc/6C4uchQ5s2eHaGGBGgqlgGa89KhmZNsd46Ftt340MVPTgUBUOL5sUvC/5aSf6ECbg3bQaTCcuggVhvvlkLsw/Hcg4HjtlzKPjrL1AUIi7sRuSIEcWbGlKdOghWK2qAZ+nohx8qbgF3tqIb4OcY27dvRxAEn6HUgiCwffv2KjPAd+3aFZLn2mw2Y7Vayc/PZ968eVUSIh8VFUViYtlckyNHjrB+/XpOFuY2GwwGv63FvLF8+XIaNmyIVMpz2rVrV/bt24fT6buYiSAIbN68uVYZ4H57ZoKWw1wLPffVganHpaT0mIPnyBGU7GykevXA4+FE1wtDMp4jR41CSq0HgGixkDzjB7Keehrn/PnhDVGTJK2Vl9WKYrORfsMY3OvXa/lwioJy/AQ5W/7B9t14kn6cUSbsviLYJk0me9yzZXqZ23+YgaFVK5KmTUGqW5eICy/E0Lw5nv37vd8zScLUqxfGUhtaOjo6ftj0nf8cZFXRwsJ7PlM16S5pO2Hjt6Fd07C79v3r7pBdBbVQVBnanRbWmrEHfv8/2PaDZlwKoua9zg/Q37s022fC0XVQv2vJsdbDtK9/f/YnEKz9FC57HkyBu3BUC668ALnrgLsa0xdqEYYGDUj8/DPkzCzkY8cQY6KRGjbkVL8r8ez8N2g9LTZsWMZZEfu/FxETEsj79FNwhLHQnSgi1a2LqWdPVFUl99XXyP/0My2UvnADIf+zz7F98y2JUyZhqmT0q2vzZjJuvAklM6s4v97x81xyX3uDxG+/wXRpdwSzmcgbrtc2HHw4dYQoK9Ybx1RKljMBPQf8HCMrK8uvEauqapVW4Q7k/T0dVVVRVZVff/01ZOO7fv369O3bl7YBdjfPP/98du/ezapVq1i7di3r169n/vz5nCrs3Qha/nZ+fmhhPAUFBeX6hpvNZlJT/e80qqrK0aNHy7Qoq2kMTZv4f0iTJIwtWvg+fw5gaNCAiA4dkBITkerUIXLUqKCqpBcR/eD9ZV6L8fEkfvk5df9eQ9S99yJW0hAGQJKQ6tUj5sknAMj5vxdwb9yonSv6fSus1O7Zv5+shx+p1HLOZcvI/u/TmqJVFO2rUOl69u4l/cabURUFQRCI/+gDBJOpfJ6dJCHGxxP36suVkkVH55wibTsQwLDOPw6uKgpPDdX4RtAM4D/fDN34jmkAQ7+Cq/20cxJEaH895ByCxf+FX5+A1R/Al11h6/clIe6qAqdCjF4SDbDhq9OOidD2msDXuu1wOLhCsNVCUlsQ/PnmBEhoWW3i1EakhHgiOrTH0KgRgiAQ8/DDIW2SR91+G0Iph44gisQ89ij1tmwm7rVXMbQMw/2VJJAk4t9/D0GScP4yTzO+oazhK8uoBQVk3DIWJS+vwsvJGRmkXz8aJbvQwVak71UV1W4n4+Zb8BzSqprHPPao5pU//flIkkAUiX//vbBF39VmdAP8HMMQRD9AX+HY4SCU0HPQjNidO3eSnp4e8lqNGjXC6XRisVioW7cuoHmXxcI/elEUadOmDWvWrOH3339n27ZtbNy4kfXr1wNU2tsuCILX9xtsNfXa1N7LOnas/wGyTOTo0dUiy5lC3Mv/wxxsT3dRxLFwkddTUmo9Yp99hrqbNpD8y88kjP8Wy4ggHuxOJyIC6+gbSJ43Fyk5GTkzC/vMH3176WWZgt+X495bcU9U3kcf+96EkGU8O3ZQsGKFJl7nziQvmKe1gyv8nBLMZqxjRpOyYD6GRo0qLIeOzjmH0RrYsy2IYAgtsitoDvwe2nhB1ELiV78f2nWiAepfBOZYyDkAHa4HyQQIWs53UUXzFgPh1BaY2BdWvaMZ3wsfgYKc0FuanY7igXQvueWBPMmlr68tXHAnqAHkufB+/+fPMSxDhxDz/HPBbbiLIgU+2oCKkZFYb76JOr8vpc6ff5A4YTzR456pUPE3U69eJM/+CdOlWlRJ3hdf+JZPUVDzbdh//CnkdYqwT52Gmp/v/XlCUVDdbmzjJwBawdvk2bOIuu9ehNhYbYwgYLqsF0k//Yhl4MAKy3EmoYegn2M0b96cf/75x69x16xZsypZOzc3N2SvriAI7N7to89mgOtWr15dXAhNVVUkSaJBgwbExMQQHR1NfHw8CxYsKJYp3B5nVVW9bmYkJyezd+9ev9dGRkaSlpZGnTp1gjbYqxLrmNE4FizAtXpN2Q/YwrDlmCefwFgqz0hHMx4Tv/kK+5w5ZN3no1VNEZKEEiDyRBAEIs4/HwBLv344R11H5t33omYF7p9rGjSQhA8/KJNT5d68SesZGgDX2r8xNg/9M0Gx2XCt+dv/IIMB5+LfiivOGlu2JOHjj1DffgslPx8xJgahCjcEdXTOWtpeA+u/8H1ekKDVYJCMVbN+RoitQVVZyz92heiFUzxarvWOHzVjXFW0rwaXQP1uWk53q6Hww7WQc7jkmnAiiCW546VJ7RbMxWA7pfVJN5jCK1dFSG4LV/yvsNq8CJQuLipC48ugy501JV2tJfruu7AMGcKpyy73n7KnKMhFvcL9YGjaFEPTppj79sE68lrSx9yEx0t3nTKIIlL9+iT9ML3MhrUqy7g3bvJ/rSDgWrMGxt4SUDZvOBYu9J9yJ8s45i8g9nmtuKwYE0Ps0/8l5sknULKyECIjzwmvd2l0D/g5Rvv27ZEkyatRJwgCkZGRtKiiUOJQQ7hBM2IrUnStKHS96GcAWZY5ePAgiYmJdOjQgR07dlSpl1kQBJo2bVrueKtWrcrkhXvDbrfz888/M2PGjAp5/8ONYDKRNGki0Y88XKYPs6FVS+I/+Yjohx+qQelqN+ZevUAK8FHr8WCoXz+keSM6dNBav/nboDGbiH74IRI//6x8QZNgN3YquAGkFriCHFdQfkmzGSkpSTe+dXQqSrO+UO8CzSgtR+HfdI+nq279ioS2y8F9ZpRQ+D6KjHbFU+J1ProG7Olw+f/BiY2QvT+wZ7eiqAp0vKH88TodoFHPACHdqtaf/J1U2OQnhL46uew5GDEVUtqVHItM1nLVb1xQu6q21yIM9VMxtGrp3xMuSRgahxbNJSUnIyUm+J9XEDAP6E/yvLneo8WC0eOVcPaozvJ6vNwYb7pekpCSks454xt0A/ycIzo6msGDB2MyaTutoigWh2RHR0czdOjQKgtBD7WIGWhGbCgF4SIjIwN6jNeuXYvH42H//v1VaoB36NABi5cqjmazmb59+yIIQkBZc3JymDt3bsgt11wuF2lpaWRmZobNsy+YzcT85zHqblxPnTWrqLthHSm/LSby6qvDMv/Zihgfj3nAAP9hZEYjlquGhTSvfeaPYLP5zj0TRSK6dSPmySfKtVADiDjvPAjib72ihVnEuFjEQH+7soyxfTv/Y3R0dEJHFDVjqd4Fha8NWkg2AhgtcN1MaHhx1a3vzSPsD0GElA6aoRcMRivENsJnnruqwD9TtWJw234o24otnAgGSOkIba72fv6aSRBVpyQU3heOTJh9C2yZGtr6iqz17D62XqvkHi463gD3boH/HINHDmjfL/+/2uGlr8VYx4wJ6Am2hpiu5969m4I/Vvif12Qi/oP3kU4rKAyakRtxQRf/BryiYLrkkpDkKk1E587+n3EkiYhOHSs8/9mIboCfg9SpU4cxY8bQu3dv2rRpQ7t27ejfvz/XXXcdsUX5GFVAfHx8heY///zzAxrhVquVq6++mjZt2gQ0qm02GydPnqyQ8V0UJeDNg11kTAuCQIcOHfz2U2/cuDEjRoygZcuWGI2+QwBVVcXj8bCxqFBWAFwuF3/++SeTJk1i1qxZzJw5k6lTp7J169awbTYIRiOGBg20dhK1IDz+TCD2v/9FsFp9KqjY555FDPFvo+CvAIV7FEVLGfCBGBdH5KjrfCtlScLctw+Gwsrj7n//JevJ/3L8/As43uk8MsbeivOPFT7nF0SRqFvH+p5fEBDMJiKvqUA+u46OTmCsyXDHKhi7HC56WMvvHfIZPH4C2l5dtWufF2Ioq6rARQ/BhQ/gt3icIMH1c2DsMsg5iN8WZ4Kktcxy5gSfj10a0QDWUs8eRUa8aCgxqBteAjf/5juUP64x3LNJ8yrHNAy85q+Pa0Z1IFQVVn8I7zWCzzppxeTeSoF5D4AztFo7PhEEiK6nvQdJz1gNhshrR2Ds4sPYFQTMfftgCqLFaWkK/loZ2DvtdOL+5x+fp6Puudu3AS+KCLGxWK4ZDoCcmUnu+x9wokdPjnXoyKlBg7FNm47q8h2hYr3lJv+tamUZawXD289W9L+ocxRJkmjRokWVhZt7QxAE6tSpE5I3t2fPnkRFRdG7d2/mzJmDw0tujdVq5ZprrsHhcARtqHo8HiIjI7HbQ2unoaoqV1xxBSkpKeTn52M0GjGZTOzbt4+8vDxMJhPNmjXDarUGnCshIYHLL78cs9nsNy9fVVX27NlDr169iqMVvOF2u5k7dy6ZmZll5rLb7axcuZLc3Fy6d+8e0vs9F1BsNuRDhxAsFqTGjatkU8HQrCnJc+eQM+45Cv78s/i4VD+VmCefJPLaEX6u9o5aWGHUL4qCe+dODE2bahXGTyP2/57Hs2cPrlWri/P5EQVQVAytWhL33nsAOBYsIPOe+7T1CpWsc+kynIt/I/qhB4l56kmvy0fdfRfOFSu0+UvLKkmASvxHHyLGxIT83nV0dIJEEKBJL+2rOmnWD1a+Hfz49tdDpxtBccPBP2D/kvJjRAOMWQiNe8AnHQLPKYjgzNbaih1fH2LutwCXPgmXv1jYj1yFuKawfykc/VszuJv3h9QugaeyJmne4waXwOT+/sfmH9fef9MARtrCR2HNB2WPeRyw7nM4sgpu/QMiAj+HnEuoHg+eAwe03tiNG3vViZVFMJlImj6VnJdexv79D1BotAqRkVhvuVmLSAuhO4omuBpUlXXP3n0YW7dGjIsrd84ycCDRjz5C3nvvl2lDhigiRFpInDgB0WrFc+AAacNHoKSnFxvs7pxcsh9/AvsPP5A4dYrX/twRnTsT/fh/yHv7nZJnicL5URSst9+G6fLLQ3vfZzm6Aa5TrYQSDt2+fXvatGkDQExMDCNGjGDr1q38+++/OJ1OTCYTDRs25Pzzz8doNPLbb78F7eWNjY2lXbt2rF+/PiTPcKtWrYiPj8doNBJfKhe6devWQc9xOt42FU5HURTcbndx6oA3tm/fTkZGhs/zW7dupXXr1uV6np+rKFlZ5Lz+JvYZM6AwN8nQvDnRjz1SJWH1xhYtSPp+Gp7Dh/EcOIgYHYWxU6fQlXEhoiWIlA5Z5lSffgixsUSNvYXoRx4uk1ctWiwkTZuKY/4CbFOnIR89gpScQuSokURedRWCxYJ84gSZ996vKezSfyuFCjzvw4+I6NoVc5/e5ZYXTCaSJk8if/wEbN+NRz58WPOsD+hP9L33FBeV09HROcuwnQx+bEpHGDFZe1gXTTBmvtbGbO0nWnVxKQIa9dA85E2v0Pp2Z+0JPK/igfhmWpX0Td+FJn9yO+h0E4gSJLUqOd5ygPZVEeyBi28BWlE2fxzfVN74LkKV4cQmWPsZXPp4KNKdtaiKQv6XX5L/+ZcohQXQfOnEcCBarcS//hqxT/8X97btIAoYO3ZEDMIx4w2pSeOgxmU/8STZTz+DZegQYp95Bim1XpnzMY//B9Pll2ObMAH35s1gNmMZOBDr6BuQ6tRBVVUy7roHJSOjrLe88GfXuvXkvvYGcf97wev6MY8+grFdW/I//wLX2nWgqhg7diDqrjuxXHWVHjF5GroBrlOtBNMGDTRv+XnnnVfmWGRkJF26dKGgoKDYCN+9eze7d+8urnQeDFarFbPZTMeOHTlw4AAZGRlBX7tr1y527dpFo0aNuPjii4nzstMYKlFRUQHHGAwGv6HqELjHuiAI7Ny5k0svvTQk+c5GlJwc0q4aru2Glwqb8uzbR9b9DyKfOEn0PXdXydqGhg0xNAwiFDEA7l3BdwdQc3LI+/AjXJs3kzhhPEKpv0PBaCTyqmFE+shBt02dVt74Lo0kkf/V114NcNCM8Oi77yL67ru0EDaDocKbDjo6OmcIxhCKKvV4SjN0izBEQNe7tbDx31/QDNe9i7QvyQRy4IJPgOb9T70QGlwIFz+qtTlDwG/YehFp2+CTtlCnE/R+GVoPDf79+CKYEPRgxm34WosG8OXRVxXNE64b4KiqStZ/HscxY2YZHVasEzdtJnFiWZ0YLsTYWEzdK55XXYT777XBD/Z4cPw8l4K//iJl3rxyRrip6wWYul7g9VLX+g3+K60rCvapU4l56gmfmwmW/v2x9O+P6tF+N6vivp4t6E9BZyEej4cDBw6wc+dOjhw5Evb2WpWhSWE+aSDatm1bLoxbURQWLlzIzp07y72nULzYNpuNqVOnsn37dlq2bEm9evUCViU/ncOHDzN79myygmgBFYhWrVr5lV8QBFq3bu03/BwCV5lXVTXkPuxnK3mfflbO+AaKFXTuK68iHz9e/YIFierx4Nm5M8SLVAp+X45j7tyQLnP9vTZgURnX2uAeEISICN341tEJF6oKB/6A9V/DtpnhLcJVWZr1Da7HeGIraHdt+eN/vQnz7y/vNQ7W+Abt/nxzCcy9Wyvw1n6UVhAtFE7+A9OGhadCeaMeENcE3znuAsQ31/LK/ZG5J3A4ffaB0OU7C3GtXIXjhxneN5BVlYLly3HM+bn6BQuBglAMcABZRsnIJOfNN0O6zLVuXcBe5qrDgXtH4GcPwWDQje8A6HfnLEJVVbZu3cq6detwl+rva7Va6dmzJ428tSaoZho2bEhiYmK5POXSNG7c2Guu8sGDBzl27FhY5PB4PKxZU7ZAVVF/8GPHjgU06FVVxe12s3LlSgYPHlwpWWJjY+nUqRNbtmwpd04QBCwWC+cHEaprNBpx+SmSIQiC3xD20/EcPYZj1izkU2lIdVKIHD683G7qmYiqKNgmTfZfMASwff8DMY88XE1ShYggaF+hFtYTRWwTJxE5fHjw1wRqoVY4r46OTjVy4A+tfVXW3pJjxkittVivcZVqKRQWzLFa4be/3sSnxzm6PtyyrHxlbVs6LH0uDEIUrrv+S+2ryPttioVWQ+CfKcHPMe8+rbe6KXDEmk9EEQZ/ClOHFE5b+r4IWs764E8D/99FJmpF4FQ/OswUQm2NgnytWN2prdrvUJvhUL9r8NfXYmxTppTNeT6dIp04ohYXAw3RQQRofbdnz0F56X+I0dFBXeKtW4r3cbq+Dwf6XTyL+Oeff1i1alUZ4xs0j++iRYs4cuRIDUmmGazHjx/nr7/+Ijo62mtLMkEQuOSSS+jfv79Xb+/OnTurNIckLy8vKOO7CFVVOXr0aIX6m5/ORRddxEUXXVTOQG7QoAFXXXUVkUH0SGzZsqXf+6OqalBF91RVJefV1zh50cXkvvEmtokTyX39DU5cdDE5r71epa3bqgM1Nxc1UCFAQUA+cKBa5KkIgiQRccnFoStmRcGzb39Il5h69vT/QChJmC6r5gJPOjrnMkf+hkn9tN7WpXHbYdlzYTJeK0HmXljyLGQfhKQ2hQfFwirihZ8lbUfAIwchJrX89Vun+TcuK0yh7irICdL4LoXbDttnVF6ElgO1HPfi+1JIclu4cSG0uDLwHB2u939/BAN0vik4eXbMhnfqwc93wN+faBsmX3WDCX3BkR3cHLUY9+49/jfbFQXPvn3VJ1AFMF9+WcU2ud1u5BMngh5u6nGp/2g3QIiNwdi2beiy6JRD94CfJbhcLtb6CQNVVZU1a9bQoEGDapRKw+VysXjxYo4ePVrOQExOTiYuLo6kpCRatmzpt1d4fn5+lRp/FZ07Ly8vqDxufwiCQOfOnenQoQMnT55ElmXi4+NDmrdjx47s2rULj8dT7r0IgkBycnJQ///5H31M/iefai9UtcwHcv7HnyDGxBB9/31ByxUIxeHAvXETqseDsX07r30sw4lgsfjfEQetRVYtr84dfc89ZKxcFfJ1obY7s466jrz33ke1270rZ1km6q47Q5ZDR0engiwdp7Wq8tVa66834KIHQw+3riyqquVsL3+ppGVXkc6Pa6xVAY9vAp1vKVvY7HRyjxZ6eGtP+hyiQdtYCAct+sP927RiaXnHIToV6nYOPmqh5SCof6HW+/t0Q1yQICJSy3kPxKGV8MO1JfdZKeW8OfA7fD8cblkatmgKVVFwb9mCkp2N1LARxubNwjKvP8T4uIDRYkJMcB7imiLy+lHkvf8BqsMR0EA+nWC93wDGtm2J6N4d15o13p+PBIGo229H8POcrhM8ugf8LOHgwYPIAUJqMzIyyM7Orh6BSvH7778Xh46rqlr8BZCWlka9evXo2LGjX+MbCMoLXBNE+KigmZuby7p16/j9999ZvXo16enpgBb+furUKU6dOoXHUzaPS5IkUlNTadiwYchGfUxMDEOHDi2+ThCE4g2P+vXrM3DgwIB55IrdTt7HH/sdk/fRx5oiqCSq203Oa69zovN5pI+8jowbRnOiS1cyH3oYpQp/TwWTCXP/K/17jz0eLMO8FyWrCIrDgWvTJlybN6MWhJDD6Adzn97EPDtOexGsJ1wUQw61E+PjSZw0Qdu48PIgZmjVEteGDciZla+HoKOjE4C8E7DvN/8eUFWBrd9Xn0xFrP8Klv8PUDX5VLkkVznnECgu6POKf+MbtI2DKvGAVwJVBnOc93POHPj7U5hzO/xyL/w7V9sgURQ4sQUOr9LC6ksjCFDvfGg1COqdF5qRK0owZoGWZw+a0S0W+tNiG8HY37WNjkD88XLRmyt/TpU1I/zwyuDl8oN9zhxOXnIpaYOHkjHmJk71uoy0q67GtXVrWOb3ReRVV/lP1RJFIkeE3gbUF6qi4N6+A9f68OlEKSFBKxRnNgfvCRdFIrp1RapbN6S1Ej77BEOL5tqL034nhYQElJwc3HuC6ECgExBBPdPjSUuRm5tLbGwsOTk5xNRy71W42bJlC2vWrAnoxR0yZAipqV5CvqqI7OxsfvjhB79jrFYro0ePDhhevmfPHpYuXRpO8SpNbGws1113XRnZVVVl3bp1bNy4sdzx2NhY8vPzizdLIiIiaN++PRdccEFA4zhYVFXlyJEjpKWlIUkSDRs2JCEhIahrHb8uJvPW2wKOS5w4wWfV62BlzLz3Ppy/zCuvHCUJQ8sWJP88p8JtOwLh2rqVtCHDQPaActr6ooipx6UkTp1S6ZQH1ekk9823sE2cVLxpIcTGEHXbbUQ//BBCgMr2weDesQPbpMm4Nm2GCCOePXtRc3PL72BLEmJCAilLFoccZaC63WQ+/AhOX8VqBAEhMpLEieMxXXxxBd/J2cu5rJuqinP2np78Bz7r5H+MaIRLn9CM3epCUeD9JpB72P+4h/ZAQnP/Y3KPwXuNapkRLsAj+zVPfml2zYMZo7QQ9aJK7ooHoupqhnHeUe2YaNCKzfV/F6LDWEvl5FbYswBkF6R21fqvB/Ms4bLDq1H4rQgvGuDCB2DAe5US0TZtOtmPP+FlfhHBZCJ5zmyM7dtVag1fKHY7p/r0Qz561LtOjI0lZelvSMnJlV7L9v335L79Dsqx48XzW4YOIfb/nkdKSan0/HJ6OvZp03EuWYLq9qDabXh27yn/DFX43JI4bSrmnj1CXid//ERy/u//wOOl0F9h9GDMs+OIvveeiryNs5pQ9JLuAT9LsFqtQYVQVzZUOlQOHToU0Iix2Wzs3Rs4tKtp06YkJyfXql6C3bp1KyfPtm3b2LhxI1De45+Tk1MmUsHlcrFx48aQepgHQhAEGjZsSJcuXejcuXPQxjeAagsun12pZN67a9VqnHN/8b4zLct4/t2FbXKIOXohENGhA4kTJyDGFfZyNxiKi42Z+/Yh4asvK298u92kjRhJ/hdflokYUHNyyXv/AzLvux81DB0KjG3bEvfqK6TM/4WU2bNIWbSw5GFGkoq944amTUiaOSMk41t1ucj/+huOdejk2/gGUFVUh4OMm25BPhWgh62Ojk7FiaqL7yrahSgeiKnmdLO0bYGNb4Df/ht4TEyqtoFQaxDggjvLG9/HN8H0qzXjG1W770Ue//wTJcY3aMe3z4SvLoL8MH5G1umg3ate47TQ9mA38otkDkRBXqXEU+x2cv7vBR8nFVSXi5yXXvZ+PgyIkZEkzZyBsV1h3rIkafoekBo1IunHGWExvnPfepvsxx4vMb5BK4Q252dODRmKnJ7u++IgkZKSiH7wAZJnzyJl3lxSFi0kctR1msEtisXvS4iKIuHzz0I2vp2/LeHkFX3IGTfOu/ENxZsYuS+/gmPRokq9n3MdPQf8LKFx48YYjcZyBdiKEASBlJSUavcUnB5i7YsVK1bQqFEjn+HcoIVnDxo0iD/++IP9+0MrJBUuRFFEURQMBgOXXnopzZqVzWFSFKXY+A6FAwcOcOjQIRo3bhx4cBViCKJIG4CxZctKrWObPj1gHrZ98hSi776rUuucjpKVRf6332GbMhUlLQ0xPh5z/yuRGjVCSkzE3P9KjK0ChEcGSd4nn+LetMn7SVXFOX8BBct+r1QkgTcM9VNJnj8P1/oNFPz5J6gqpm7diLi0e0ibCqrLRcbYWylY/kdwFygKqtOJbcpUYh59pGLC6+jo+MearFXw3j3ft4dYMmott6oTd5BpSdtnwoHl0OQy/+P6vKpV5P7jldBaj4UL0Vhyfy+4CwZ+WH7MyrcLfwhy81zxQN4xLfR7kJf5qhNLPJjjweknTFpVyheLCxHngoWoNpvvAbJMwYoVyMeOh7XLiirL2GfMIP/b8Xh27kSIiCCiV08MjRsjJScT0fUCTD17hqUtpnvPHvLe/8CHICrKsePkffgxcf97odJrlUaIiCD+nbeJfuRhHPPmo+bnY2jWDMvAAVrKWAjkffoZua+8GvwFokjeJ59i6d8/RKl1itAN8LMEg8HAJZdcwh9/lH9YLsoFvrgGQkMTExOD8uy63W52795N+/bty50rKCgozp9OTk7mvPPOq3YDPDY2lvbt21NQUEB0dDRNmzbF6CV8OC0tDUcF8qMFQWDHjh01boBHdOyIoX17PDt3gOzFOyuKGDt2KNlNriDy4cP+i6CpKnKYWs4Vr3nyJGlXDddC0Qo9z0pGBs7fliAmJpA8ZzaGMLbqy//s88BjJk0OuwEOhS3nul6AqesFFZ4j/7vxFPyxIrSLFAXnb0t0A1xHpyrp+xrsXwoep3cjvPcrEBl85FNYSGwFUoQWCu0PQYSV73g3wGU3HFmjeWeT20L3x2H1B+CoZgN88GdgO6W1Ums7AmJ9RBPs+ClwP+7TUWXY+C30f0fbKKkpRAm63Qt/vuF7I0eQ4LxbKrWMfPRo4KKngHw8fAa4Kstaitu8+ZpnWFFQHQ5cf63E9ddKEr78HPNlATaAQiDnuf8LIJCKbcoUYp9/tkp6YxsaNiT6nrsrfL17x47QjG8ARcG9fgOKzVZlqYJnO7XCAJ8/fz7vvvsuGzZsoKCggNatW3Prrbdy//33hy0v9lygTZs2GAwG1qxZg63UjmNCQgKXXnopdeqEtyKqLMu4XC6MRiMGHx8qDRs2JDIyErvdHnC+I0eOlDHAXS4Xq1evZteuXSiFBpMkSdUeRi8IAvHx8XTo0CHg2GA9/qejqiq5ubkVujbcxL/7NunDR2jFwkorTUlCMJuJf+utSq8hJicHVMpiCKHzwZD91H81o/70sG9ZRsnIJOvhR0ie9VNY1vIcPIgaRJi+u4oL0FQUVVWxfftd6H3GAXxE4ZxJKPn5uLdvB0HA2L49Yi0tAHmmoev6MJHSHm77U+tNfaRUJwRrHbjiReha8YdxrygKODI1A9vsI4rOEgcdR8OmCfj1CKsK7Ft82jEV1nyoebvtaYUHBajTCRwZYXgDIRARDV3uACnA47GqVtwz77Zp97O6q9SfzqVPaQXj0raXNcIFUft/GvyJFnFRCcTExKAqd4uJ4dP3tkmTcc5foL0ovbYsgyCQed8D1Fu/FjE+PizrudatCzzI6UTJyanyLi8VwTZpclCbJF6p4DNvbUGVZdxbt6La7RiaNUMKs53kjxo3wF9//XWefvppAJo1a0ZUVBSbN2/moYce4rfffmPWrFm6Yg6BFi1a0KxZM06dOoXT6SQ6OprEMP/B22w2Nm7cyL///ossywiCQLNmzejSpQvxpT7Q7HY7W7duDVidvQil1AelLMvMnz+ftLS0Mh50WZbJCdTDOcyoqkrbIPsexsXFVXidQFXgq4uIDh1InjeX3LffwblwkfahLEmYBw0k5vH/YAwyTN0fkdeO0HanfSGKRF4fvhBKz9GjOH9b4tuglGVcf6/FvXMnxjaVC7kDkI8cDTwIECJq0APiB9XhQD5yJPQLJYmISnjdy8hQFAXh8SClpoalYF3ANR0Ocl5/A/vkKahOJwBCZCTWm28i5sknEEymKpfhbEXX9WGm3nlwx0pI2wEZu7UK3Q27BzYcQ8HjgtXvacZxXmFEUoNLoOfT0HpoqXEFsOEbOLKaoMKxldOeCZY+CytO98CpcHJLZaQPHUEKzvgGLe82qY12/4MNQS++VtQM/ZrGHAO3rdDaxm34CgoKnQCp3aDXs9B6SOWXGDgQxj3re2NWFDF26oihSZNKrwWFm8fffOtvALhc2GfMDFv7zGC7wtRWT7Fr85bQjW9BQGrQIGztWuXMTNTsHMSUZMRqcrLZpk4j9513UYp6pYsi5n59iX3pfxjq16/y9WtU261atYpnnnkGURSZOnUqe/fuZfPmzWzYsIE6derw888/8+6779akiGckoihSt25dmjRpEnbjOy8vj59++okdO3YUG9aqqrJv3z5mzZrFqcICTNnZ2cycOZPNmzdTEETbJUEQynjod+/ezalTp6q073ewNGvWLOj+6VarlcaNG1eogFfdENtFVCXGVq1I/PIL6m37hzor/6Tetn9I/PyzsBjfAOY+fTRDzVv7LElCTErCesvNYVkLCj3NQfwuuTaH54Ev2J1108WXhGW9cCMYDBXr/aooWG++qVJrq6qK7fvvOdnzMk5eeDEnu/fg+HldyH3r7WKjuCpQ3W7SbxmL7dvvyqyj2u3kf/kVGbffiVoRD4GOruurkuS20GYYNOkVXuNbdsPUIbDkmRLjG+DoGpg2DFYX5jC7HTCxH8x/ANL/DTyvIGk9rIvI2g8rXvMxuBr1v2DQWnj1fCb4ay58sGJr1T1f69VdGzDHQv+34YlT8PB+ePwk3Lk6LMY3gJQQT/RDPu5ToY6JLdyYCwtOJ559+/zre0HAtSV8mztCEAajWD+11vbPFswV21iOuuP2SherLVi3nvRRN3CiY2dO9uzF8Q6dyHz4ETxHg3NiVJS8jz4m+4knS4xvKE6hSxsyFLn08SqiRg3wl19+GVVVueOOO7jhhhuKj3fu3LlYGb/++us+C4vpVD9//fUXTqeznGGsqiqyLLN06VIURWHx4sUUFBQEbUALgkCbUp7HHTt2VEpOXyHxgSjtgTGZTHTt2pXevXuH9CFz6aWXYrFYQv5g2rJlCxkZ1RxuFwAxOhpD48aI0eHdrRckicTJkzAP6F/O0DN26kjy7J+QkpLCt57Rd3G/MuPC5JE2tG2DGGjTRhCIeapqK/26t20n9+13yPnfS9imTUfxVwyntGgREZh69gi+v3jhuNiX/1fpCILc198g+7HHkQ8cKD6mZmeT9+FHpN98C6qrbI6pqqq4d+yg4O+/kU+erPC6jl9+wfXXSu/hkopCwbJlWkSITsjouv4MZN0Xhf3GT/t7KHq96FHIOgC/vwCH/0IzloPQ96oMFz9S8nrzRM0jXGEqYgCIYChVpEo0Qucb4Y7VYA1B73S5A1oOCl2G4+u1+1ubMJi03uFRlW+XdTrRjz5CzFNPlhighTpfTE4m8btvMfW4NHyLBbN5LAhhjaiyXBu4j3j0vfeFbT1vyKdOkffFl+S8+D/yPv0Mz9Hga+hY+pd/DvNJ4Thz//5Yx1auPoDz999JH3EtBatKpdG43ThmzSZt4GA8h8t3VfAcOULB33/j3rOnwg46+cQJct9628dJLSUx9z0fRfXCSI31Ac/NzSU5ORmXy8WaNWu48MILy5x3u90kJSWRm5vLokWLuPLKK4Oa85zsC1pN5OfnM3Xq1IDjunfvzsqVK4Oas8hI7du3L02bNi0+PmnSpAoVMyuifv365ObmkpcXfAsNURQZNWpUscc+Pj4eqdCwsNlsbNu2jT179uByuYiNjaVdu3a0bNnSa9ik3W5n06ZN7Ny5E4/HgyiKpKamcsRPWK8gCDRo0ICBAweG+G7PbDyHD1Ow4k/weDB2OZ+IIHLtQ0XJz+dE5/P9e1Alibob1oXF8Hdt2UL6Ndf6DU2z3nsPcc+Oq9D8qqJQ8McfuLdu04zl3r0xtijpravk55N1/wNa2L0kaYVo3G4Eq5X4997FMniQJufWrdhn/oiSno5Uty6Ro64rrnBf8NdK0kdd79+TIEna+r16EnXXnZXuAe7evoNT/fx81gsQ9+qrxV52+5yfyX3zrRJjXRAw9+1D7IsvYAixoGHaiJG4/v7bd76iJGHq2YOkKZNDmhfObd1UFbq+aN5z9Z5WCx+1gYxd+DSqBQku+Q+s/7wkdNkfgqQZ3xc+CAM/KHngn3O7ZoSHWsysiOQOEGHVPPNFawTDyBlaLr3bDvHNtKrgoHn0N43XDOTsAxCZCOeNha73ejfOZTes+QjWfAA5h7RjDbvDqa3+70tEFDx+QpP9HEHJz8f5228o2dkYGjXGdFkvhGA3eUMg/brrKVi92m9YdcLnn2EZWnkvv5KTQ9rV1+DZtcvnGEOb1qQs/rXCFdfdO3bgXP4HyDIR551HRPdLip+dVVUl74MPyXv3PU1XF+VyqypRd91JzLPjEEQR+eRJ7NO/x71nD0KkFcvggZh69EAQRZTsbE726IWSm+v7nhU+RxjbtsE6diyR146o1P+d6vFwouuFKOnp3p8xJAlz3z4kfvuNdg+2bSf7xRe1TfJCDG3bEjvuacxXXBHS2nkff0LuG2/6r01gNpG6bWvIUQuh6KUaywHfuHEjLpcLs9lMly5dyp03Go1069aNJUuWsGbNmqCVsk7VkZ2dHdS448ePIwhCwN0po9FIs2bN6NChQ7lQebPZXCkD/Gip8BVJkvzmoRfJ2qtXL6Kjo4k+zdubkZHB3Llzcbvdxe8pLS2N5cuXs2fPHgYMGFBsqBcRGRlJ9+7dufjii4sL1e3cudOvAa6qKocPH8bhcGAJsYXEmYyhYUMMo28IPLASiFFRWG+7VatM7u33UhSJHHVdWIxv1eUi45ZbtSJ2PjBddhmx40IIdSyFa/NmMu++B/nwEU0pqiq8+D/MV/Yj/sMPEKOjybzn3pL2YbJcrFRVu53Me+4lcdoU7NO/xzFrtuYxKLwn+Z99jnXsWGJfehHTpd2Je+dtsp94suSeCQLIMlKjRiRMnEBEy/CkJIDWLzb7hRe0NXx9dqiQP2Ei1ptvwjZxEtlPP1N2515VcS5dhmvdepLn/xJSVXvPoYP+FbIs4zl4MOj5dDR0XX8Goqr+jW/QDN3j64IzvqUIaNxLM75bDy37NxsZZJEvr8a1oPUfFwv1r8ECbn/FLwVAhU43QdtryvfMLsiDCX3gWFFRLRUKcjQv/9rPtMJ3CWVbjyIZoftjcMmj4MzW3mvecfgoQKtOVz78+zN0rFrdV5sQo6KIvPrqKl8n6oH7KPjrL+8nJQkpNVWLvgsD2c8+j2fvXp/nhYQEkmfPqpDxLWdmkXX//Vo3ElEs1r+G5s1J+OoLjK1bY/v2O/JKe3NL6bD8L75EsFoRk5LIee557e9aEEAQsE+ejPG8ziROmoiUkEDS99NJHz1GM4iLnisUBcxm4t9/j8gwbFYUoSoKuR98iJKW5nuQLONc/BvyqVPIp9JIv3p4ueg3z787ybjpFhK++gJLCI4r+ciR4ur4PnEWoGRlIdULX2u806kxA3z37t0ANGrUyGe4cLNmzViyZEnxWJ2aJdiwbkmSggoNGTRokM/K7K1bt2b16tV+r2/bti3p6emkp6f7XS9QEbjk5GS6detGfS9FFxRFYdGiRWWM79IcPXqUjRs30rVrV69zi6JYXFzNbrcX9xH3h91uP6cM8Ooi5sknkI8cxfHzzyW7xIXfTZdfRtz/XgzLOs5Fv6IU1kLwhXvXLlBVXJs2YZs0BdfmTSh5+YhxsRhatCTy6qsw9+ldbofZs38/6SNHlXjyS/1uO39bQsattxHz7DgKlv3ufWFVBVEk65HHSnKfTqtiahs/HjE5iZhHHsY66jrMV1yu7Zzv2IFgNmPufyXmvn3D2k7Fsfg3sh54MKjK8Z59+1Bycsh+4cWS91QaWUbJzSX3jTdJ+OTjoGWQEhJQjh33PUAQkBLDlxZxrqDr+jMQQdBCkj1+IoYECQxB5DELBug5Di5/3vv5jqPhrzd8Xy8aoGkfrWjZrrmFbc6K/uYLvxd5z/0a30BkklYl/oK7yxvfAL8+Dsc3UG7jQVW06uwzroO7fVS8FoQSL3peEOG/ggS5VZvneq5i7tWLuNdeJfuZcdr/sywXG1xS3bokTZsSlhB0OT0dx5w5fj3tamYm8slTKLl52CdPxrn8D5SMDASzGalxY8y9ryByxDXl0vxUt5uMG0bjLkrHLPXc6DlwgLRrriVlwTzy3nvfr4x5H33sswCe+5+tZN56G0mzZ2Fs3466q1di/3kuBX/+qXnbu3Yl8toRiGGMMPIcPEjGzbfg2eN706IYRcFz8CC5r72uGd+n32dF21DIfupp7ZkkyP9TMT4+cE0gUQxbgTlf1JgBnpWVBVCmavbpFJ0rGns6BQUFZQp81ZY2TmcrKSkpmM1mnH7CeAVBoF27duzZs8fvXCaTiSQ/3sY2bdqwbds28vPzyxm+RW3BLrnkEgwGAxkZGfz444+hvZlSJCUllTO+3W43hw4d4tixY+QHMAq2bdvG+eefX84LfjoWiyWg8V00Tif8CEYj8Z9+jPW2W7HPmIF87BhScjKRI0cSccnFlS4mUkTBunWaV9lPew7l+HFyxj2LbeKkMjuxytGjeLZtxzlnDsZ27UicNqWMVz7vsy8049ubwlcUXKtWk//FV/7Xl2WU434MTSD/8y+IvvsuBIsFKSXFdxGdMODatInM2+8IqlUNAG43tilTweWn37As4/hlHsprrwb98BA5ciQ527b78b6rRI68NjgZdYoJh64HXd9XO22vgW0/+A4NV2Utb/rkZsgtn6tZMs4DLQb4Pl+3k2aE/zONcoavIGke5QHvacXmZA+82xBsFSyQZLRC13vKeuAVReupfmKT1p/bVwi74tFyt4+uhfrd/K8TFURBVVUObpxOhbDefBOmKy7HNmUq7m3bEcxmLP2vxDJkcNiKobm3/BNU9XDbxAnYJk7WxpY2pPfsoWDJ5AD5vAABAABJREFUEnJff4PESRMwdSv5vXIu+tV3m1JZRs3LI+e111H8fGZqQrp9R5XJMq5163GtW4epWzcEiwXrqOuwjrou4HuqCIrNRvrIUSEVOCtYtQrXmr99D1BVlIwMnMuWYQkyesoy/GryPvzI9wBJwnxlvyqvWl9jBniRERcR4bs4kqmw5YuvUOTXXnuNF18Mj9dKJzCiKNKlSxe/+d1t27albt26NGrUiMOHD/v0THfs2NGvwRoREcGwYcNYunQpx08zFho0aMAVV1xR7E05dOhQUCHvvjhR6sNAVVW2bt3K2rVrg+7pXVBQQG5urt8HTIDmzZuzatUqn3IKgkBqaiqRes/hKkMQBEzdumLq5j1iISxrBBlqZps4SfvBh+Hp3rGDUwMGYR17C+aePTB26oTjp5/8K3xJwrNje6gil0PNy6Ng7TrMvXpWeq7SeI4eRd5/ACE2BmP79giiqO3QQwg9x1Wcixdrmwz+inZ5PMgnTwZvgI+6jvxvvkE+eqz8PZYkDI0bY7lmeJAy6hQRDl0Pur6vdro/AdtmUBy2XRrRAPHNNSPdngHz7/c+h2jQKp43uND7+SKu+g7M8bD+i0KDv3DNhOZwzRTN+AbN2K+o8Q2QcwCcOVrPcoADf8CsmyEnyNQSQYTDqwIb4EmtoN4FcGJj+SJ2RRgjoc3VQQquUxEMDRsS+9+nqm4BMbhNe9v4if695Hl5pI8cRdQdtxPRrSvmPn2wz57tP0xalkvSzALhT7caDDgX/VrG+A8HSm4u7m3bQJIwduyIaLHg+GkWcojVzR0/zQ48SBSRD/nZBDwNY6tWWEZcg+OnWeXvjSiCwUD0I4+EJGdFqDEDvCgs1+XHi1G02+3LI/j000/z2GOPFb/Ozc2lYcOGYZRS53Tat2+Pw+Fg48aNZTyGqqrSsmVLunfvDsAVV1zBggULOHXqVLFxXPS9VatWnHfeeQHXslqtDB06lMzMTE6cOIEgCNStW5fY2Ngyhc+KepFX1AAvvRGwdetWVpWuyBgkwfSvtVgsdOnShfXr15c7JwgCgiCUK1Ckc+ZhuvRS8r/8yv8go1HzUPv7nVVVlOPHyXvjTfJeex1jly6B+40qihaqFeTmkT/C2fLLvWcPOc89r+WyFSI1bEj0fx7F+evi4L3fACq4d+8JyvMgxsUFPa0YHU3yjz+See99uNatK/GSqSoRF15IwqcfI+qbYyETDl0Pur6vduqdB9fP1sKu3faSPGvFA4mt4caFWv5zt3u1fPE1H2gGt+LRDFVV0caN+inwWoYIGPwxXPY87FmgrZfYBhpeDIZS3kpP4JamARELH3uPrYdJ/UIr/qaqJfchEP3fgYl9Cz/jvXzO93kVTNXT71inaog4/3yIiPAfjQXBbS673eR/8QV89rnWCzspKaBeVO32EKT1M08Ydb1is5Hz8ivYv/8BCj/XBasV661jcW3Y4L/Gixc8waQlKUrQrV+LiH/7LYTISOxTp4KslElRiP/4QyI6tA9pvopQYwZ4MCFngULXTCZT8c65TvUgCALdunWjTZs27Nq1i/z8fCwWCy1atCAhIaF4nMlkYtiwYRw6dIjdu3fjdDqJjo6mTZs21KlTJ6Rw3/j4eLKzs9myZQsrVmgP8MnJyXTq1IlmzZqRmJgYVGi3r/fTsGFDjh8/zuHDh9lSgd6QVqu1XOE2X3Tp0gWDwcCGDRvKtNyJiYnhsssuIzk5yII0OrUW0xWXIzVtinzokG8jMZR2S4W/2+7Nm0ty130hCMgHD/mfL1DxkcJ5jG1a+zytqiqu9RtQTpxATE4iomtXnxVRPfv2kzb0KtTTWqDJhw+T/chjXq8JiBxg80IUibj4IqQQ/56k1Hokz5mFa+tWLexNEDBdcjHGtm0rJqdOWHQ96Pq+Rmg1CB4/DlumaLnRBhO0HAzNryzJoRYEGPg+dL4J1n+pGePmOOhwPbQZrhnXwRKVAikd4c/XYcFDmnEcXR8ufAAufhiSWmstw5QKtKsTRM0bbzsF6z7TqpwrHt8eaq+o0KxvcEObXAZjFsDcuyB7f8lxczz0eUXbuNA5oxFjY7GOHo1t4kTvOlWSECyWoGqbAFpOM6CkZ6CkZ/jX1YIQlB4POM7jCajfPPv3496xE8FkIuLii3yGZqtOJ+nXj8a9aVOZNVWbjfxPPkWIjg7J+C5CTE3V0uZ8XWsyYe4X5N9lIUJEBPGvv0bMo4/g/G0Jqs2GoVVLTL16VbhafajUmAHesrDVzaFDh/B4PF6Ls+zbt6/MWJ3aQ3R0NBdccIHfMaIo0qRJE5o0aRL0vC6Xi127dnHgwIHi9jSyLLNr164yRnt6ejpLliwhPT2dbt26YbFYKlQ1XRRF9u/fz4YNG0K+tojOnTsH5QEHzeDv3Lkz7du358iRI8UtzVJSUsKWg6xTswiSRNLECaSNvA6lqC91qfYglhuuxzFteugTFxne/naQg9iIEhs3RjSZtJ1lb8a8JGHq0cNnBXHnsmVkj3sOuVRFcCEmBsFqRc3PR0xKxDpqFNabbkSMiyPntdc04zsIj3VQiCKGJk0wdu6MffKU8vei8KEj5onHK7xERIcOVdIO71xE1/VnOKZo6HZP4HGpF0BqCL2tFRl2/QIbx0PeUYhpAHU6wopXC88XeqbzjsLScfDvHLh5iWbY/zM1+HZjRaiK5k3/sAVaiHuIm/aCBM37aZsAwdK8Lzy0Bw79WdLSrFlfbSND56wg9rlxePbto+CPP0o2yAsNZ2OHDig5OcjBGuBFKErgjXJVDaxTIyKIHDYU+48/eZ9LEBAiI7FcfZXXyz2HDpH1+JO4SleUj4hASklByctFiDBhGTgA6+23Y2zRHPuPP+H29Sytqqi5ucE5AEojicQ8+bjfzfrohx6scKE4qU4drGNGV+jaylJjBvj555+P0WjE6XSyYcMGr71B165dC8BFF11UEyLqVDNZWVn88ssvZQzptFJtCkqHmBf9vHnzZurWrUtUVJRXA1wQBKxWK7ZC71vpOURRRJIkv54ZXxSFvLdt25Y2bdpw9OhR3G43cXFxxAUR9mowGELamNA5szA0a0qd35di//FHHD/PRcnL1/pn3nQjERdcgGv5H8jHgqiUezqCAGazFvJWQYM2/pWXkerWIW34CG1nvvQ8koSYmEDcG695vdb5++9k3Dy2nNGr5uZqyhWQ8/LIffMtbJOnkPDdtzgXLgpupz7YnXFFwXrjjUSOug4hIgLb+AklDyyyjJiQQPx772LS0zlqBbqu1ymHywZTh8CB30vaix1bDztneR+vKnD0b/jjZc277s34FkTNwI6IBtvJkjD4orD4hJZwYDlaOHgIXriieep0guGT4NgGrd+3NRkaXOK9mnppRBGa9AJ6Bb+mzhmDYDaTOHkiziVLsE+djufIEaQ6dYi8biSWQQPJHvcs9sOHQ9fXiuJbLwapLyNHXUfsc8/i3r0H95YtZfVwYcRa/McfevVoyydOkDbsapTMzLInXC6tjRfaX5FtylRs078n8btvsE2e7F+2kI1vCfOA/lhHjkQQJbLHPYual1ey0RERQfRDDxL98EPBz1mLENSKJs6GgUGDBrFgwQLuuusuvvii7M7p1KlTGTNmDImJiRw7dsxvAZciQmmArlO7kGWZ6dOnY7fbQ8rlFgQBg8GAx+Pxep3RaGTEiBFIksTOnTuLC7pJksSxY8cCtijzRnx8PDExMYiiyLFjx3C5XGXWrlOnDj179iwTkq9z9qCqKu7Nm3Hv2o0YGYmpV8+Qd1/zvviS3JderlA4lqFtGyLOO0/b1S7MPRNiYooN4EDEf/oJkVcNw3PoEHmffIZ95kxwOhGsViKvv57o++9F8tIeUFVVTvW6HM/+/cHJLUkYO3bAvWlzwHFiQgJKRkZQytl4QReSZ/yAUBiOLJ86pbV+y8/H0Kwp5t69w9JiJpyc67op3Loe9Ht6RjP7Vtg8KXQvtsHsvzXaNZO1sPet02HHLK0tmTkBjqyE/AoUb4tpCEltwJoCR9ZoxdpKh7/HNoYr34L2I0OfW+eMwHP0qJaOpKpEdOvqMzLMF+5t2znVf0CFdD1A9OP/wTZ+vBaSDmAyFedW+8VgIPLaEcS/8zaKw0H+F19imzBRa5Eqipiv7Ef0A/dreexeyH7+BWzjxwe3cSAICGYzaoQRcvw/h4iJiZquD2ITQYiOJmXhfAyFzirV4cDx62Lko0cRE+KxDBgQUp2X6iAUvVSjBvhff/1Fz549EQSByZMnc8MNNwCaV7N///6cPHmSN954gyeffDKo+XSFXHtQVZXs7GwKCgqIiooiKsp/sZG9e/eyZMmSKpElNTWVlJQURFFElmVOnDjByaLQ4BCJjIzkggsu4M8///RbzdxgMDB8+PCgvOHnGkpuLs5ly1DzbRiaNSXi4vC1AAs3qqpS8Mcf2KZO03KrTSbkY8dQSnuvTSai7rqTmCce95kHXW5ej4fM+x7AOW9eaAIJAqZ+fUn67luUnBw8+/YhRJjIev553KvXBDVF4rSpZaqbq7KM6nAgREb6zX1ybdpE2uChockbDKJIzFNPouTmYps02f9GgiBg7HoByT/9WG15WuHgXNdN4db1oN/TWkXuMcjap3mnU9qXbfN1Ovkn4d0GoRU/C5a4JtDhBq04nCJD5m7YPtN3ITS/CHD1BPjtSU1mf9dfMxk6jam43GcpqsdDwYoVyEePISYkYL7icoRa3GbVvWsXtkmTca3fAJKEarPh+fffkgGCgLlvH+LefQcpBAdL/oSJ5Ix7VnsRioPJaqXezu0gy7j//Rc8HpxLl5H37nuB55Ekou66k9hnxxUfUlUV1W5HiIjwu0mtqirH27RFzbf5HFNeWKFkI90XokhEjx5EDhtK3iefIu/f73ssQHQ0dZb8hqF+avBy1DBnjAEO8Morr/Dss9ovZrNmzYiKimLr1q0oisLgwYOZM2dOwP7KRegKuXZw6NAh/v77bzJLha7Ur1+fSy65xKdX+I8//uDff/+tcCXz2oYgCDRt2pS+fUMrDHE2oyoKeW+/Q97nX5TZwZUaNyb+g/fC3gajsqhuN5n33Y9z/oLAxc+AyFtuJv7VV4KfX1FwzJ2L7dvxuLZu1QqzBVPZOymJOr8vLVP189SVA7SWHwGvTaTuurUV8hA7Fi4k8/Y7Q75OatpUyxf35d0WRequXYNUty6qy0X2s89hnzbdrzc8cfJEzFdcEbIsoD0UOn9djHPxYtSCAowdOhB53cgy/dbDja6bwqvrQb+ntYKMPbDoUdg1j2IDNbEV9H4F2l/r/ZptM7TK6rWdotBzb23YTseSCP85FlrBubMcx4IFZD8zDuVUSRqhEBVFzH+fIurWsTUnmA/yvxtPznPPF6cy+USSMDRvTvK8uSF1xXBt2Ej+N9/gXLJU62YSTKcSQSBp1o9lno1y33iTvE8/C+r65EULK1TNW3E4ON6iVWgXiSKG1q3w/LvLr+6O/+hDIq8Zjqqq2OfMIfv+B33PKUlYb7uVuBf+LzRZSuHatAn7jz+hpKUhpaYSed1IjG3aVHi+QISil2rchTBu3Djmzp1L7969ycjIYM+ePXTs2JH3338/ZIWsU/Ps27ePhQsXljG+AY4dO8bs2bPLHS+iolXMayuqqrJ//36/rXfONXJfepm8Dz4sFz4lHz5M+nXX4/rnnxqSzDu577yLc8FC7UUQhrF9wkQ8+wLs6JZCEEUir7qK5DmzqL93N/UPHaDenl0Y2vtXmEpGBvnjJ5Q5Zmjdqjinyx8xT/+3wuHZUnJKha6zDB1SUo31dAQB6+23IdWtq72MiMC5cKH/UHRJwv6Tj1zRAHgOH+bk5b3JvPMu7D/NwjH3F3Jfe50TXS/EPqtic+oEh67rzzIy98JXF8HuBZQxUDN2w4yRsOEb79cpYSrGWNUUV0cPwingyIA9C6tUnDMJ529LyLzzbpS09DLH1fx8cp59jvxvv6shybxT8NdKcp59LrjCZrKMZ9cuHDN/DGmNiC7nk/DJx6Tu3E79g/tJPXyQqEcfCXhdzv9eKvPa0Lx5UMa3eUD/CrfSEsxmhFBbbgoChmbNEevU8f4sIkkY2rbBMnhQ4XAB1+/L/T+3yDL2H2aEJkchakEBGXfdQ9rgodgmTsIxbz75X3/DqT79yHr6GdRaYHPUuAEOMGTIEJYsWUJ2djY2m41Nmzbx8MMP6wr5DEOW5eI2Yaejqioej4c5c+bw888/s2XLluLer6DlTZ8t3u8iVFWtUGX2sxHP0aPkf/W195OKArJM7ptvVa9QflAcDmzffhda3pYkYf8piJ63fhAtFq39l78QTlXFNmVKmUPWG8cE9tCPug7r9ddXWDZjl/ORGjf2L9vpCALWG28kccJ3iMmFHuai0HGjkaj77yP2uWfLXKJk5/ifU5ZL8uFCQHW7Sb9+tNYeDrSHGEXRvtxush58mILCYmA6VYOu688ifnsaXLle8rgLPzPn3gVfdIWFj0H6rpLTDS5C8yqfTQiQe6SmhagVqKpaYjT60J+5r7+BUouejfK++CKoDexiBAHb9Ap0Mik9hShibN7M/yBVxb1ho1Z3pRDz4EEIUVF+9bDUtCkJn35ScdkEgcjrRoZ2T2QZc5/eJM/6EWOnjkUTFctp6tmDpB++L67dAiBnZgZ8blFzcytkG2S/8CLO+fO1F0W6vnAt+8RJmjOohqkVBrjO2cHBgwfLGNXecLvdnDhxgtWrVzN9+nQyCvNFWrRoEXTxnTMJs9lc0yLUChxzfvZvuMkyBct+R84MvSJ9VeD+559yfasDIgjIpcLtKopy6lRAw/90z0LEhRcSecstxXKcjqlPb+LeerNScgmCQGxRKFgwRrgkYb7yShyzZ5PzymsgGTC0b0/kyJHEvfM2dTesJ/bp/5bLm5fq1Qs4r9SwYcjyO39djHzggG+FL4rkf/pZyPPq6Jxz2DNgx0/+87hVBY6vhzUfwidtYWOh1zO+KbQYqFU/rxWEYzNAhajyhSvPRdzbtuPZu9evDlNtNpyLf6tGqfxTsOLP0KqUqyryyVOVXlc+eTIoI1cuVbNItFiIf/cdTQefXgdFEBDr1CH5xxllDN2KEHXffVpx2WCMcElETEoEVLIe/Q/KyVMYWjTHPHAAMc89S8ryZSRNmVwub97QoEHA+cW6dUOuESSnp2OfOs3v72D+F19qqQA1iG6A64SNvLy8kP5QXC4X8+fPx+PxYDQaufLKK2tFMS5BELBUslCIIAg0btwYUyU/BM8WlPT0wB/kqopSgZZwVUJFWnypKlK9upVeWqxTN7BSOi1fWRAE4l55idhXX0FMTS19AjEpEdMll6Da7ZWWzXJlPxK+/hKxrpf3WfQwUCi7oW1bCtavI/f1N/Ds2IFy/DienTuxf/89ziVLEGOiva5hvXGM/9Y+soz1hlEhy+74dXHAcDfnkqW1IjRNR6dWk3s0+ArmqqwZ43NuhyN/a8eu/lbr+10bSGqrtSqrDKZYaDkoPPKc4SgZ6YEHCYL/Yl3VTaif+aKIlFr5wmBSSp3g6r6clv5lGTyIpO+nYzytbo5gsWDu2xfV6adTQJAY6qeSNGc2xvM6lz9Z+jldEBBjYhEbNCT7scdxrVmDfOwYnr37cC5YiG38eMTI8m3OACKvH+X//Yui9jwQIgV/rAgYpq/m5VGwbn3Ic4cT3QDXCRsmkymkUJGiEO29e/cCWrXyLl26VJV4QSGKIsOGDaNp06aV2gxQVZXzzjsvfIKd4Uj16gVWNJKElFx1hbBCwdiuHYQakaEoRF47otJrR147IrBSuqF8KLkgCFiGDkUsHZ6mqigZmeS+8iqnBg5GTqu8h94yYAB116wi6fvpxL//HgmTJpAw/jvMAwdi7NwZc+/exH/5OarDjpqVXfbhpvB9ORcsJP+TT73Obx17i5bn5sNYjhx1nc/WKX4pcAZOKZDlCvdX19E5Z7BUoMWmKMHq97Wfo+rA9bNDuLiKNub7vgF9Xql8RfaLHwFj7a3uXZ0EjGACbbM6NYhx1UREl/MD93MvjaJgHXNDpdc197/Sf1V4UcTYubPXUPWISy4uOV4ou2q3Y58+nVO9+1KwclWl5TM2b0bKz3NI+e1X4j/8gIQvPidp9k9Yb7kZ4/nnE9H9EmJf+D/MQwbj2bJFu6hI36uqFilw9BiZ997ndf6ITp2IHDPae0SdJGFo2pSo224NWW41mDZtEFw7typEN8B1wkaTJk0QQ2wNJAgCR48eLX7dMMjQ0vr164e0TjAkJiYybNgw6tSpQ7t27Sqdk/7rr7+yaNEiDh48eNblt4eKZfjV/sOWJQnzoIEh99OuKsTYWC0HKoTf56h77sZQgdDo0zH1uBRTn97e15YkxDp1sPpQSjnjxuHZs6esoVmkCA8dIuvRxyotH4AgSZh6XErkyGux9O6NpV9fEr/8nJT5v5A4/lvE6Bjkvft8G7OqSv4336K63eVOidHRJM/6UfudMZR4poTYGKIf/0+FQ+mNAYrbIQhITZvWuh7iOjq1jtgG0KC7Vik8WBRP2UJlye3AHO97fPG49oTeQiwAUXVh2DfQ40loNQSiUysXEr/ybfi2F6z9DArywyfnGYixVSuMHTv61Z1ifHyFu1hUBVF33hm8F1wSMXbqROTVV1d6XdFqJebp/3o/WZg/HfvcOK+n7d9/r4VZQ7lNbtXlIuO221Dyw/O7aGzblsgR12AZMhhTt27EvfIyKb/8TPKMH4i84XqtIJ2v+yfLuNatw7XVe5eWuNdf01q4xsaWHDQYsFw1jKTZP1XomdDYrm3gQYKAoU3rkOcOJ7oBrhM2zGZzhby+pY3T5ORkEhMT/XqfExMTOXWq8vk3ANHR0VxxxRWMGDGCESNGkJKihfokJCTQvXt3gAp7wh0OB4cOHWLRokVMmjSJGTNmsHDhQg4cOHDWVX0PhJSURMyTT/g4KSFERhIbQg/g6iD2uWcxduqkvfDzOyBERxPzzNPEjHsmLOsKgkDil19o4VmnP8TIMlKdFFQvilU+cQLHL/N8G72FefaeAwfCIqc/XH//XcZ49oaSkeFTFjE+noQP3qfuxvUkfT+dpFk/Um/jBmIefSToXuun4/V+nkZFdtt1dM5J+hS1XAxBP5YOWzdEQLd7/RvxkhkMptDW8IZgAIMF+r0NtyyDRw9Dl9sK1zDAqFmaB7tMKHoIa7ptcOhPmHcfvF0XPm6nGeRrPgJnbuVkPwOJfelFLYLJS44yQOzL/0OoRTV/zAMHYL37Lu1Faf1yut6XJCxXXU3S99MQwlTfJ+r224h77dXyVcdVFTE+DtXhPZw8/8uvfD+XKApqXj6OWbPDIqM/3Nu3B86lFgRcq1d7PyWKRD/8EPU2ridp9k8kff//7N13eFRl+jfw7zkzk2TSO5BQk0BC70VAUEBUUAGxC/bed19119511W2ua1n92cWGiggi0nvvLQRCAgSSENLb9PO8f0wyJGRakmlJvh+vXCZznjlzzzDJPfd52nfovGsHYt/9T7P2Wm9IM2gQNAMGOJ5yplIh+OKLrHPQ/aiVE1+IGhs+fDgAYM+ePW4VmUIIdOp0bvESSZIwefJkLFy4EEajsUnPcWRkJOLi4hxuZ+YujUaDvn37YtiwYQ4XfxswYABiY2Oxb98+5OfnQwiBxMREFBUVweLmMNX6+PV6PfR6PcrLy3Hy5EkkJyfj0ksvhdpFkeJMdXU1Dh06hIKCAgDWUQF9+/ZFWJj9+Tb+Fv6gdVGPyn/+s9EiYkGjRiL69degTunlx+iaksPDkfDTfNT+MB/VX38Ny6nTkGNjEHbttQgaPx5K0RlIoaEIHj3aY8nYJjgYSnm53avKpv0HcHbGTCT+sRSqxHNzw4x79rh1Fd+4azfUPXt6LlZ73L1o5aKdKjYWqvHjPBAQoEpIQMzf37aOAmi412v9Kq0XX4SwuXM88lhE7V6vi6zDyBfeAdQWw+V+2ZIa6D6+8W0TngVOrANObqy7oe7+kgpQaazHVzXeJaHZJBXQdxZw8UtAgoOesa6jgPv2WofI758HGKuBmFTr34azh9x8oLrYTTVAcab1+5MbgPVvALetAeKbua9yQ4ZqYN/XwKEfAWMVkDgQGHEfkDyi5ef0ouCRIxH/w3eoeOY5mA6de/1UXbsi6rlnbVtRBQpJkhD13LMIGTcO1Z99BuPuPZCCNNBeeim0s6+GUlYOQCBo6FCoEhI8H4BKZXeNFqWkFCW33oa4eV8hZMKEc7frdNb9tl2c07BjZ+DkNBe5XgoObrTfeeseSkLMu+/g7MyrrZ0VDT+vq1SQExIQ8+abHnms1pBEOxob25wN0Mm7ysvLcfToURQXFyMvL89hO7VajTlz5jQpgmtqarB//35kZWXBYDAgNDQU/fr1Q79+/fDNN9/A7MY+iA1NnDgRvXr1gtlshtlsRlhYGCRJQk5ODg4ePIjy8nKo1WqkpqZiwIABCA8Pd3iuHTt2YNeuXc16/PNJkoSMjAxceOGFLbp/bm4uVq5cCSGErciXJAmSJGHq1Kno3r17q+LzJmEywbhrF0RVNdQpKa0uvIXFAihKuxo6bNi+HcUzr3bcQKVC+L33IKpBr7tu2XKU3n6Hy3PHvPeuR4bPOWPYuAnF1zlfKE1OiEfnHdshteIiVEsYtmxB1fsfwLBqtXUuYs+eCL/jdoTdMtdr7yHmJs/jaxogdBXA7v8Dig4Bez9vsH+2HXOXAamXNL7NpAd2/g/Y/j5Qmg1owoABNwAX/NlafB/+xf0F3wBg0C3AJW9ae7Rri4HQeCAkCsjbAmx9B8hZCUAAvSYDYx4Ful3g+FzH1wGfT3T/se2RVEB0D+DhI9Z58M1Vkg18cbF14TsAgLD21CtmYPxT1pEIAbB4rSOmQ5kwnz4NVVwcNEMGQ2rmNMWGhBCA0QgEBQXEgr2eIHQ6FAwdDlFVZb+BJEGd3geJK5bbnrPQ65Gf2tv5iVUqhM6+GjH/+qeHI25Mqa1F4eChLhd5TVyxDJq+bgwN9yBzXh6qP/gQtT/Mh9DpIEVEIOzmmxB+373euZCC5uUlFuDkNiEETp8+jaysLNTU1CAsLAzp6elITk62/WGorKzEli1bGs17Dg4OhsFggCRJjYpFWZZx6aWXoquLYSBCCNv5FUXB//2fg/2kHRg0aBDGjBnT6DZFUbBy5Urk5uY2iUutVmP69Om24ejnUxQFS5YsQX5+frPiOJ8sy5gzZ06ztyorLy/H/PnzHc4rl2UZ119/PSIi7K8y3V7o165F9fsfwrBxIyAE1BkZCL/rToRef12rknwgKHvyr6j97junC4JJ0dFIOrjf9rOltAyFw4YDduZV28gyOm/fCpW9Vcw9SAiBoslTYM4+5vA5RD79FCIetL84iy8Isxkwmz0/esEO5ibP42vqZUWHgJ0fAYW7gaAIay/ygBuBoLqhsiYdsPp5YMf/rL2yABAcCRiqrIVm/cJmkspaQE98Abj4ReePKUTjYvKzidYecnd1GgTct6dpQbrtfWDJg+cKV+Dc95e/C4x+yPE5t70HLHFy3F03/gqkX9m8+ygW4L8ZQFmu44sQs74CBgdIL6eXmI7loPr9D1D7yy+AXg85Lg5hc25G+L33QG44d7gN0v22BKX33OuyXeLyZY3mNhddeRVMe/Y6HfUW8593EDrbyYV8D6l45VXrkHh7sahUCBo5Egk/zfd6HI4IRYEwGCCFhHj9wk1z8lLb/pRKPmM2m7F06VIsWbIEOTk5KCwsRE5ODpYsWYLff/8dZrMZlZWVWLBgQZNFx+r3Bo+OjkZwcLCtN3v27Nkui2+g8RxsWZabVbAOGTKkSfENAAcOHEBubi6AxnPQhRAwm834448/HA4zl2UZ06ZNa/WHPkVRWjSX/eBB+4tZ1BNCuGzT1lV/9jlKbpoDw+bNtgXHzFlZKH/8CZT96c9tfisp5WyRy9W4RXl5o+epio1xPs+5bkXVqvc/RMVrr8OwdavXFgeUJAlxn30KOTGx8YfhujlZ2quuQvh9rj90eJOkVvuk+CZqc9b/DXi/P7D9PWsBfHQJ8OtdwH/TrT2yZiPw9eXA5n+eK74BwFAJQADRPYGwToA2zro91y0rXBffQNPCOTbN/Zi7jQPu3Nz0HAV7zhXQDVc7r//+94eBfCcj2kY9CAy/z/047JE1QE4L9r0++rt1VIDDEQAysOFvrnd3aMOMe/bg7GWXo3b+fKBuey2lpARV7/4XZ6+cAUtpgGxd2kKWs0VujWCwFJ1p9HPE/fc7Lr5VKkjR0TDu34/yF15E7S+/uL8yeAtEPvkEgidcaHtsALbnpOreHbHv/9drj+0OSZYha7UBN2qCc8DJLZs3b8apU6cAnCtY6/9/+vRpbN68GXq93u687XrV1dWYO3duq+Y9A0D37t1x5IiL+S+w9nyPGjWqye1CCOzfv9/OPc4d1+l0yM3NRVqa/Q8A9duVLVu2rFULwrWkAMrLy3N6PyEE8vLy7F54aA/MObmoeO556w8Ni9S610T3408ImXQxQmfM8EN0nqHq1MmayJwU4XJsLJSyMtR88SVqf5gPpawMcpcuUPXsCUtOzrn7y7ItUZt274ap7r1f/f4H0AwbirjPPoUq3vPbv6l79ECnVStQ+8N81C5YAKWiApq0NITNnYvgSRcHXDIkIgCZC4CVT1m/txWsdfmmqgD4+lJg7JPAibWOz1GabZ333LOVw7eH3gns/tR1u85DgdvX2b/4uO2/jXvkzyergW3vAjM/c3z+6f+1nnv7B7DOdW/BBV5nQ/MdyVluLd4VR6OaFODsQaC2BAgLjC08PUkoCkrvu99aPJ6fCxUF5uPHUfHqq4j95z/8E6AHqDp1cusCihwfj5rvvkPNF1/CnJMLKTwcQSNHwrh9e+PPCvXD1MvLUfPZ5wCAmv/7BBVxcYj99BMEjxju8ecgBQcj7ssvoP9jGWrmzYP5xAmo4uIQes010M6+GvL5C8wRABbg5Aa9Xo+srCyHRZ8QAllZWS4XXTOZTMjJyUGfPq1YjARA37593SrAo6Oj7d5eW1uLmpoap/eVZRlnzpxxWIADQGhoKGbMmIEzZ87g5MmTOHLkCHQ6ndtFtSRJSGjBPBR3F7drr2q+/rrxIlrnk2XUfPqZRwpwy5kzqPnqa+gW/wZRWwvNgP4Iu+1WBF94oVcLyNDrrkPNV187biDLCJ4+DUWXTLUuaFf3nrDUbUGm6t4d6rRUKGeKIIWFwbhz57mr5Q3WTzDt3YeSm+ciYcniFq8u7owcGYnwu+5E+F13evzcROQFG960rkxur2AUFqAsB9j0NqwDKB3kIlkN7Py49QV4twsAVTBgcdZ7J1t7yh2N/Dm53vk+34rZ9TB3WQVMfw8Y+ziw/xvgyG/AqS1we3s0xWTtoW8uxc25763dxzxAGdavhyXvlOMGFgt0Py+A8vxzkB183nOX0OtR+/MC1Hz3HZSCQshdOiPsxhsROmumV0dKhUyaBCkqCqKiwn4DSYIqIx2Vr70Ow7r1tgvqoroaxrNngdBQBE+cAOXUaSA4CObsYxCVdSvvN8j1SlkZSm68CYkrlkHdo4fHn4ekUkE77XJop13u8XO3VxyCTi4VFBS4LPrcKQplWUZl/R+GVkhMTHQ5v1mWZfR0sNKzu4WTO+0kSULnzp0xatQozJw50+0VyCVJQkpKCkJbcGWwc+fOTmOrj6m9Mu7f73x4tqLAdNDdlWudPM6ePTgz8WJUvfMfmI8eheX0aehXrETJjTej4tnnvXqRQzN0CLQzZjjdZkT39TwoZ4oaD0Ori8ly+jRUnTohcdlSqJK6NDrWiMUC04EDMKxe49knQERtj6EKOL3VeW+trAYq8uC0F1gxAyWuL5K7JEnAiHvhfEswxbpom8NzuHFh0d09wGN6AROeAW5fa90/HHC9F7qkAsISgb4tmIvbdYyT3u86Ud2t52+HTAcPOd5KytbIBPOxnFY9jlJejrNXzUT5E0/CtGs3LPn5MO3eg/LHn8DZGbOgOCqOPUAKDkbUiy84biAELJmHrcU30GTPbxgMMO/dh4TfFiHsppsgHOyegrp50NWfuDGihHyCBTi55Kk9q4UQCA4ObvV5JElyObw6Li4Ohw4dQnl5eZNjWq3WYe94PUVR3Jqf3lB4eDhmz56N0aNHIyYmBiEhIZAdXJWPiYnB+PHj7R5zZcCAAS6HoPfv379F524LpOAQ13OmWrnHqKWkBMXXXGddmfT8hAeg5vPPUfuD9xYVkSQJMe/8C+H33gM4+p1xdgHAYkHtjz/BUlYG3W9LnF+wUKmg++03lzFZCgtR8+VXqPrwQ+hXrLSuPk9E7Ye7Pa5qF39fJRkIjWt9PABwwf+zLu5m7+OqJFvnmp/eZl3d3N7fxN6XOy+wJbW1TXOoNMANC4DZ3wLdL7TGEFS/c0qDOCUVEBQG3LjI9WtmT79rrKu4OyzyJWDMY457/9s4KSjIra01HeZINwghUHzTzTDVr5tT/x6qn7aVmYnyvz7t4N6eEXbdtYh59z/WNVOay2KBJT8f+pUrrXnc2XvBYoHul4UuT6nodKj95RdUffAhauf/CMXRCu3UKu3zt5Y8yt1h0jExMS7b9OrV+r2ea2trUVhYCJWTK6PFxcXYuXMnfvjhB6xcubLRtmWSJGHw4MEO7ytJEqKioppdgAPWFd8HDx6Ma6+9FrfccgtuueUWjBkzBjExMQgODkZsbCzGjRuHmTNntvhiRGJiIi644AJbrA3jBoDx48cjLs5DH34CkHbqJc6LT5UK2ssua/H5laoqFF16OYRO57iRLKP6f/9r8WO4Q9JoEPXcs+iydzc0w4c3/0OWyQTTvgPOV0UHAEWBUuN4CxFhNKLsL0+hcORolD/9DCpffwMlt96GwlFjYNi4qXkxEVHgCokCYlLgtMdZsQA9JjovaoUCDLy59fFYTNZtyIIicK7HXTpXkArFOv958z+AL6cA7w+0rhje0MgH6trbe06S9eaRDzY/NlkFDLwBuH0N8EQh8NcK4Nr5QM8J1qI5uicw7gnggQPWfcZbQhNiXT1drW38etd/3/dqYPQjLTt3GxAyeZLL+dFyp07Q9M1o0fmFECh97E8w7d3nuJHFAt3ixbAUFLToMdwVevUsdN6xDeH33NP8O6vVMO60bu3q6oKF0DnfLqzmm29ROHgoyh58GJVv/A1lj/0JhUOGoerDD9v11EZ/4BxwcikyMhLdunXDqVOn7P4CSpKErl27YsCAAfj9998dnqdv375O99d2R3V1NX755ReXc60bHsvJyYEkSZg0aZLttq5duyI9PR1ZWVmNtiEDrHO7L7vsMoe9180RFBSEQYMGYdCgQW61r6mpQXZ2NmpraxEaGoq0tDS7w9oHDhyI+Ph4HDhwwLYdWnJyMgYOHIhOnTq1Ou5App19NSr/9S8oJaVNe3YlCZAkhN/d8jnHVf/8F5TCQueNFAXmrCNQqqogN3O7NyEEDBs2WueVV1VCnZKC0BtvgDo52X772lqYdu92ryfgPJI2GKrkJFhOO9kyT5ah6e14rYOyJ56E7qefz30Qslj/rxQVofjmOUj49RcEufn+JqIAJknA6EeBpY85OC5be3ovewf4ZAygK2u6QresBmJ7W3tvW8NiAr6bZV2B/XwNh8gL87mp2MVZwOcXAQ8cBILrPmto44DL/wP8/oj1fvXxSirr87n2eyC+devSALBeIO1/jfXLHcZa4OD3QNEBQBMKZMwCkoY1bdftAmsRv+1d4MD3gKkGSOhvXZ29/3Ut21u8jVD36oWQ6dOg/32pw/wX8chDLV6/xLB2LfQ//uS6oaLAuHMXtFdMb/ZjmLKzUfvDfFhOnYIcG4vQWbOgGTbU7jRCSaWCfu1a6+9hM4tdSa2GJr2Pdb0XJ+vjqJ2sa1T78wKUP/HkuRvqziP0elS+8hoklRrhd9/VrLjIMe4DTm6pra3FwoULUV1d3ahYlSQJYWFhmDFjBsLCwnDs2DGsX78eRqPRVthKkoS+ffti7NixrS5qly5d6nIVcEeuv/56lJeXY+fOnSguLgYAqFQqRERE2LY3S0lJQe/evaHRaFoVZ3MJIbB9+3bs3bsXABpdFBgyZAhGjBjRoVeNVmpqoFvwCwxbtwGSBHWvnqj+6iuIM0XWOWJCWL+CgxH7wfvWXvIWEAYDCgYNgaiudqt9l6xMyM24qKSUl6Pkttth3L4DUKutHyokCVAURD7zNCLub7rdjX7depTceJPbj1FPCg9Hlz27UP35F6h8/Q3HBbwkodOWTVDbGfFhOnoURRdNsnOnOioVQiZdjLjPnawg7EFCCJj27oXpyFHIdYvPNPcCiD8wN3keX1MvUSzA/OuBzJ8aL8Ymq61F602LgdQpwNlMa4FckmU9JoS1uO02HrhuPhDRynVItr4L/P4o3F7ozEYCpr8P9LwIWPUscHhB3XOQrIu1abTWHuWUycDwe4Ho7q2LsyUO/wosmGvdtk3WABDWefMpl1hfu5C2vbd1awhFgWHNWuh+/x2ithaqnj1h3LjJutq3Wn1uZw+LBeEPPoDIp/7a4s9GJbffAf2KlW5d3I796H/QTp/m/vMQApWvvIrq/3107jOKJAEWC0KmXoLY99+DpNU2uU9+tx4t2lYu/ucfIYWF4+ylzkf/Rf/z7wi7/vqm8VosKBw1xmnnQ/1nivPj9hbz6dMwbt0GCIGgUSOh7tbNJ4/bGs3JS+wBJ7eEhobi6quvxqFDh3D48GFbD21GRgb69etnG06dmpqKHj164Pjx46isrERQUBB69erl9uJkzlRXV+PkyZMtuq8kSdi6dSuOHz/e6I+1xWJBRUUFoqKicMkll3hkjvr5ysvLkZmZibNnz0KlUqFnz57o3bs3ghrMU967dy/27Nlj+7nhBYbdu3dDo9FgyJAhHo+tLTBs34GSW2+zrhJaf6XbYoEUHY2I//dnmHOPA2YTNEOGIOy6ayG7MRXCEUthodvFt7pv32YV3wBQcu/9MO7abf3B3Hjl2spXX4MqqUuT1dslbctWYNX064eK116HKikJmkEDYdq3v/EHjbrVVKOef85u8Q3AOl/M2XZoFgv0K1a2aCRAcxkPHEDZY3+GOTPz3I3BwYi49x5EPP7/vLKKO1GHI6usvcL7v7Fu4VV0wFqw9r/W2jueUDfcN6Ev8FAmcHwNkLfJWoSnTAGSPLTN0dZ3W37fXf8HLH8SMNU26C0X1hXcVUHWLdJaOizcmdpSYM9n1v27FRPQbSww/B7r4m318rYA3199Lq6Gi6zlrgK+mwncusqtvaHbG0txMUpungvTgQPnLlADgCQh7O67IGp1UMrLoe7eDaE33ABNWmqrHs904KB7I8tUMoKauX1X9f8+shbfQJP8qV+xEmVPPYPYf/+z0e2SJFnXr2nOnt2yDLlTInS/LoYcE43Qm29C7bxvmvaiSxKCL74IobNn2z2NcedOlyP/RHU19GvWQHu5d1c6V8rLUfb4k9AvXXruOUgSQi6Zguh//B2q2FivPr6vsAec/K68vBz79u1DTk4OzGYzoqOj0a9fP2RkZDTqMT958iSWLl3aoseoL7odvd0lScLAgQM9vnf2gQMHsGnTpibD3ENCQnDFFVcgNjYWZrMZX331FUxO5upqNBqP7KHe1ljyC3Dmoout87HPT5SyDCk0FJ3Wr4WqJYuX2Hu8oiIUDnUv0ca882+EXmM/mdlj3L8fZy9zcgVdkqDunYbEVSsbXSQSRiMKh42AUlbm+kEa7PkNlercdm2yjOBxY2Hcuxei3Lqiq2bAAEQ88rDTq/rlzzyLmq/nNblYcL5O27Y4HELvCabsbJyddgWEXgdYznsfSBLCbr0V0a+94rXHby3mJs/ja9oG6cqsRf3Oj4HqQiAsARhyu3Uec3iDv+EWE/BKKxbSVIdaty47f3g8YO3Vj+8LPLDfs0Vu3mbg68sBY9W54rp+rvbMz4DBc63fz7sCyF5qP7Z6d2wAurdg27I2TAiBs1dcCdP+Aw4v+MZ+/hm0l0zx2GOemXgxzNnZLttpZ81C7H//4/Z5hclkzdmlpY4byTI6b9sCVZcujW4uvf8B1wun1t2/4QUK2wULiwWaoUMhqiphzj5mbZqQgPA7bkf4/fdBcjC6U7dsGUpvdz11L/rttxB2040u27WU0Otx9qqZMB0+3PQ1UKmgTktDwm+LIPuoF765mpOXuAgb+dXp06fx008/ISsrC0ajEYqioLS0FBs2bMDSpUthafAL6GzRNVeEEC7njGdmZnpsxXcAOHXqFDZt2mQ7f0MGgwG//fYbzGYzTp8+7bT4Bqx7qNfP9e5Iqr/8EkKvd7ytRm0tauZ947HHUyUmQjNwoMsFz7RXz4J2dvO2ldEvX+F8SxUhYD5i3e6sISkoCOEPPeD4fpIEOSkJmmFDoeqafO5DpcViXYBNUQCzGYa16xD1ysvotG0LOu/djcQ/fnc5pE7VravrHoLgYK9fka7657+s74Pzi28AEAI1X3wB8/HjXo2BiFqhqhD4aASw5kWgMs/a81uVD2z4G/C/oUDZ8XNtJZX7W4OdT1IB5lrHBa5QgLMHrSune0ptadPiG7DGICzAgluB09sBkw7I/t158S2rgYPe22EjUBm3bIFpz16n85er3m3FqAg7tNOnucz1cpcuiH7jtWad17h3n/PiGwAUBfpVq5vcHH7fvdZv7F0ckmVIYWFQDx0CdUb6uduFsOb6utfOtHcvNEOHofOuHei0bSs679yOiEcedlh8A4C6q3vDu1VeHgZeu/BX64r09t4HFgvMWVnWNWnaARbg5DdmsxnLly+HxWKxWxyfOnUK+/adW52yU6dOXp2bbTKZoNfrPXa+vXv3OpybJISATqdDTk6Oy+K7YXwdjf73pS73/NYtcbzwX0tE/OlRp0WnesAAxL77n2bPOxN6vVsrmQv9ueFnwmKBfuUqmE/nQ92/n/XG+p7tutEQIVMvQef1axH7wfuw5J1yPH9MklD9r3egSkqCKj7ebhPzqVOoePU1FF44EYWjL4Bh23bnwapUCL1mtlfnhCk6HXSLf3P+PpBl1P68wGsxEFErLb4PqDjZdI9xYQFqioBfbj13mywDfaa3rAh3Vtw2VJzV/HM7suezpsV3Q7IK2PLv84bEO2HseNs+6Zctt+U0uxQFpp273BsJ5qawuXMghYY6zstaLRIWLWz+9Cp3PkdKEsR5Q81NhzKhW/I7gsePs+Z5SbLGVnfhXtW1KxKX/4HERb8CeoPjERyKAt2PP0KYTFAnJ9mdnqXU1KD6s89RdPk0FI4ajfLnnoMqOdnxOSUJqqQkBI8b6/q5tULtDz8AspPPVpKEmu++82oMvtKxxrNSQMnJyYHRaHTa5uDBgxgyZAgkSYJarcbgwYOxY8cOtx/j/KHfrnhqiLeiKDh9Xk/m+SRJQl5entMt0RqKiup4C7M43Qqsvo3edZvm0F56KaJeexUVz79wbuEUSQLMZgSNHoW4Tz9x+1yibj/ums8+g+lQpsthZVJYKNTJSQAA84kTKJlzC8w5OY0/mKjVCBo5Apo+fawrqg61/n7o/1hm3VLH0dtdCJhzcmDOzoamd+8mh/XrN6DkttsbXUm3FBQ4vhihUkGOi0Xknx5z8Sq0jigvdz0cD9ZV2YkoAFXkAVm/wuEfJ8UMnFgHFB0CEusuNI77C3BksYMTOvtD56ZgD65Zkb3UeWGtmK2ruc/6EgiJAfROikihAHHpjo+3U+cXo61t5w5Vly6I//YblNx6K5TSsnN51myGnJCAuK+/hPq8IeLOGLZuRfX/PoJ+zVrXjYWApl9f67d6PUofeQz63347V3jX5TxN//7Q9OuLkMmTETL1EkgaDUxHj1o/FzgjSdAv/QPhdzUdVm45cwZnr74GlhMnbLFYCgrPLQp7/vxxWQYkIPrNv0Hy8p7zlsIzgOLkd1sIWM6c8WoMvsICnPymqKgIsiw7HfZdW1sLnU6H0NBQAMDQoUNRW1uLQ4cONZ4nKwS6d++O4OBgHDt2zHbO+Ph4FBcXuyzCJUlCcnJyo4XRvK1+WHxcXBzi4uJQWlrqcJu32NhYxDvotWzPNIMGwlJY6LgAU6m8sgVW+G23QjvtctT+MB/m7GxI4eHQXjEdQaNHu93zLSwWlD7wEPSLFzeer+WILCH0ppsgabVQamtRfN0N5/YebTgH22SCaecuxLz1JtQ9epx7vJoaa0+L4ny+tr1F5pTycpTecSdgNDROfg1edzku1rr1GwDIMkKmXoKol15qMofN0+ToaOcLwdXFKcXFeTUOImqhgl1wq2DO336uAO8+Frh6nrVnXDHDume3ZP0+NhVInwHs+8raew4AUd2tbSpOuH4cTRiQOrWFT8YOF39zbW1kFTDiPmDjW4576iUZGHKb52JrIzT9+rlca0SOjYXs4c9BQcOGovO2rahdtBjGrVuti5WNHQvt9GmQmrEob83X81D+16fOrbvijCxD3asXgkaPBgCUPfkX6Ou38D3vvqb9+xF+792NpouJmhrXAcmyw3alDzwES15e4yK7wXxyOSEeyplzF7Q1/fsj6rlnvd77DVj/jS0uppPJke2jM4oFOPmNLMtu9U43XIhNkiSMHz8e/fv3R1ZWFqqrq6HVatGnTx8kJCQAAMaPH4+amhoEBQXhxIkTWL9+vVvxDBtmZw/OFpJlGXFxcSgpKXHaLjExEZIkYeLEifj111+bDMeXJAkqlQoTJ070WGxtSditt1qHoTtisSDs1lu88tiqxEREPPRgi+9fO+8b6xVtwL2VVtUahN9zNwDr6uOWU6fst1MUCKMR1Z98iuiXXzp397Q0lx9goFJB1aNn01h/mG8dbeDo91Glgjo9A1EvPA9RWwN1z54eW/jOpZAQSKGhEFXOh2U2d0V6IvIRlZsXts9vN/AG63Zhuz8DCvcA6hAg/Uqgz5WASg1M+Zu14JZk69+u/7i5Kvb4vwJBrd+ZxabrBcCJ9U6KahXQdcy5xz6yyLqNW8P29Vu+Xf5u4wXpOgjtzBmoeOllx3lIlhF26y2QvLAQraTVIuy6axF23bUtur85J9dafAvh1mgtKArCH30YkiTBfPIkdD8vcDp1rPIf/4J25kzbxX9V9x6uL0qbzVDbGelmOnwYxi1bnMamlFcgYfkfEFVVkOMToElNcf2cPESOjnbZRgrx/G5F/sA54OQ33bt3d1mAx8XFISSk6TZMMTExGDNmDKZMmYJx48bZim/AumJ4dHQ0QkNDodfr3eqxHDlyJDp3buW+pecZOHCg0+MqlQp9+vQBYO2pnzlzJnr27NmoTefOnTFz5swO2fsNAMHjxyGsrihtNE+r7vvwhx5E8CgvbCfjAdWfuD9UHQBgMqF2/o8AAN1vvzlfoddige7XRY1uCrlkCuS4OMfz2VQqaK+YDlVs023aDM4Sct3jGbdtg6Z/PwSPGuW74hvWq/2uim9Iklur2RKRH3QbZ93KzBlZDfSa1PT2sARg/JPANd8AMz8F+s6yFt+A9f+xqdZtvpwN624Uy3jgwqebF78rw+9xflxYrFu4AUBIpHWV89GPAJoGFw1jUoFrfwRG3ufZ2NoIOTwcMe+922jO87mDMjRDhyD8QSeLkfpRzVdfubW+i40koeaLLwGgbuqYk1wvBCy5uY3ymyo2Btorr3C8qKssQ46NRYidFeMNW7a6Xv3fYIAor0Dw6NE+Lb4BQDl71mUbyynn0zvbChbg5DfJycmIiYlxWiC3du/riIgIt3rZe9u5UthavXv3thXYDZ+jJEmQZRlTpkxpdHEhOjoaERERjXr8CwoKsHLlShQXF3s8vrZAkiREPf8cYt57F5r+/W23awYNQuyHHyDqqb/6MTrHhF5v3QKkObs8CoGqf/wTxn37IKprXN5X1NY2+lnSaBDzn3/b/wCjUkGOj0fUc88CsO63Wjv/R9R89TWMO3e1djald7kz5F8ld8h9c4nahJBIYNSDsM7dtkOSgcG3AuGdWv4YkV0dn7+h4Xc1r1hyR0xPYObn1uchN+ihleoeZ+wTQPoV524PiQKSRwGaBp0LpUeBxfcAe77wbGxtiHbqVCT8+gtCLp1qy2Fy586I/MuTSPj+u4Ddesq4a5d7Pd/1hIBp5y5U/ue/UGpq3Fuc9bzh5FHPPgM5IcFurocsI+Y//4ak0UDo9dAtXYqaL7+CbtkyCHfj9Fc6ded3s53keg5BJ7+RJAmXX345Fi9ejMrKyka3CyEwYsQIpKa6OaTMgZ49e0Kj0ThcQVySJCQlJSEszIPD0Rqce+LEiUhKSsK2bdtQW1cwCSEgyzIKCwvRtWtX2/ZqGzZswOHDh5ucp7y8HL/++iuuvvpqRLsxPKe9kSQJoTNnInTmTNsCLM2Zm+UX9QupNKcABwCLBcXXXo+QSy4Bdu92uiWLuk/Ti0YhF12EhJ9/QuW//gXDmrXWxw8JRug11yLyz49BjolB2VNPo3beN43ndycmOo9VpULwmDHNXvndE+SwMGgGDIDp0CHHQ/nNFp/MTyOiFpr8OlCWC2T+ZC1SFfO5/6dcAkxr5RZT4Z2sK6cfdbLNlyYM6HdN6x7HkcFzgPh04LcHgPydAETdwmwSUJoNVJwCorpa2x74AfjJzl7KulLgl9us3w+5tenxDiBoyBDEffwRhNkMYTJBCgnxS95plhauHVT15psIv/de11PH1OpG670A1gXkEpcsRuU//43aH+fbVkUPvnA8Iv/8ZwQNH4aab75FxauvQlQ0+HwdGenyc4kUEmLdjtUPQiZOgGn/fqeLvwZf1D6mZLIAJ78KDw/Htddei9zcXNuWXLGxscjIyEBMTNOhss2lVqsxbtw4rFmzpsmx+vnVF1xwQasfxxFFUZCZmQndeat5WywW7N27F2VlZbj00ktRUVFht/gGrAW7xWLBrl27MGmSnSF6HUjAF951JI0GwePGwbB5c/OujMO68ruAi7lkioLw226zeyho+DDEf/0VlIoKKFVVUMXF2bYJK73/QegWLWqSgJX6tQocXTSwWGzz0/0h/P57Ufbgw/YPqlSQ4+OgneZ8T3Mi8iOVBrhuPnByg3VOd8VJICIJGHyLdei5J3qlL3nbupq6sea8Irxu1fTL/+PZud/nO7IYyD9/lxZhnfN9ehtwzw7rkPpljzs/z7IngIE3WV+zDkpSq70y39sbQiZPhnHzluZfcAegW7YMcnw8lJJi++sUyjK0M66CbOfzsKpTJ8S8+QaiX3welpISyBERkOt2y6n57juUP/Fkk/uI+s4uR7lelhE652a/rakSOmcOqj78n3U3FnvxKQrC77zD94F5Qdt4d1O7plKpkJaWhrS0tGbdz2g04vDhw8jMzERNTQ20Wi3S09PRr1+/RkO7+/TpA41Gg23btqGiosJ2e5cuXTB27FjExsZ67LmcLzs7G2ecbJlw8uRJnDx5EkVFRU63TBNC4NixY5gwYYLHtkoj7wp/8H4YNmxo/h0tFhjXrUPorbegtm6e2PmkqCgET73E6WnkqChbMgYA47590P36q8PHtG41UpeU668+1y30EvnkEwiZ7L+LP9oZM2DKPIzq/77XePEZSYIcGYn4r75qMxdniDosSQJ6XGj9ag4hgEM/Atv+CxTsBtTBQMYsYMxj51ZNB4CEDODOzcDSR4GcFeduj0219sD3b9kiW24pPwGsfcX+McUMVBcC61+39sBX5jk/V+1ZIGcl0Psyz8dJHhd2/XWoeuc/1h1G3FlwtQFLbq5129NnnrXfQAiEXn+d03NIWi3UXbueu4vRiMrX3nD+wCqVtee9PufX5dXgceP8OrVPnZyEuI8/Qsldd1tfy/pcr1IBQiD6728jyE+9857GT/LUJun1eixatAhlZecWXqmqqsLOnTuRmZmJGTNmILzBFbxevXqhZ8+eKC0thcFgQEREBCIiPLgPqAOZmZlOj0uShMOHD0Or1brcs1wIAaPRyAK8jQiZMAFRr7+GiqefafZ9lcoq6H762eFxUVGByr+9iZjXX3P7nLU//ex85VRFAYKCEH7vPdAvXw5hNCJo2DCE33orgoYNbe5T8ChJkhD11F+hnToV1V9+CdP+A5BCtdBeMR1h119vt3eAiNoBIYCFdwJ7PrOuJi4sgLHK+vOez4EbfgH6NBj9ktgPuGU5UH4SKM8FQqKBToO8P290z+d1K5k7+PsqLMDuT60L0rmjpsh1GwoIckwM4r+dh+Jrr2+yNos7ar7/wfFBIVD+58fRafNGt/fgNmzYCKW01Hkjsxnh994D486dsBQXQ929O8Juvhkhl13q95EHIVMmo9PG9aj58isY1qyBsCgIHnsBwm6ZC00zO+oCGT/JU0DS6/XIzMxEdnY2jEYjYmJi0K9fP/To0QOSJGHDhg0oLy9vcj8hBGpra7F69WpceeWVjY5JkoQ4H+8V3HBuuz1CCFRWViI+Pt7lYnEqlQrB7OXrGOrmvzlT+823iPrrXyBHRto9bty/H7U/zIel8AxUiQkwu9hb03onIyIefABRf/1LC4L2vqDhwxA73HPbBRKRn5mNwMHvgZ0fA+XHgbBEYOjt1kXZgsOthe2ez6xtGxa39XuDz78W+PMpQHveRbjo7tYvXyk/Udeb6KSNqca6AJs7Iru6bkMBQwoLg9DrW3Rf8759To9bTp2CYe1ahFx8sf3jhYWo+fY7mDIPQwoJgexm51LQsGGIev65ZsfrC+rkZGtPfIAutOsJLMAp4JSVlWHRokXQN/hjVltbi1OnTiE1NRWjR49Gbm6u0+HaBQUFKC0t9erwcndotdpGz8NRmz59+mDnzp0O20iShN69e9sWbKPAJ4RA9Yf/a9libO60N5lQ/tLLiPn7240WqRFmM8oefwK6+T8CarW1x7vhcDMnpPAwSF5YkJCIqAljDfD1ZdZ54fX7YFeeAgp2AVveAW5fB2z5N6wb9tgb2isAk866cvgFj/k09CZC3dgqVFYDPS8CYntbF2azW61L1uK7Z/tYaKqjqPn8C6+Osih/8WUkDh/e5IJ7zbffofwvf637zCCsv0durjujSk7yQqTkLm5DRgFFURQsXboUhrrVruvVF9vHjh3Dzp073dparKjI/0O46rchc9UmIiICgwcPtntckiQEBQVh2DD2/LUlSkEhLCdPtmhhFnfpvvselX97s9FtlW//Hboff7L+YDZbH79+lVUXK52H3nCD28PciIhaZdnjQN4m6/eivsCuKyTKcoGfbgLO7IP94ruOJAGntng5UDcMvKmuV94BWQ30u9a69di0/9YVa+cXbHU/T3sXkHmxvS3Rr1nb7AVXm8OSnY3iG26CMBrPPeb6DdaF1iwW6xQyxcXirfVkCerUFGhauc0vtQ4/aVFAycvLQ1VVldMC+7g7Q2mBRvtp+0tGRgbCw8PtbqMhSRJiYmKQkpICABg1ahRGjx7dZJh5ly5dMHPmzEZz2inwuXORyBOqP/gAlsJCAIBSXY2aTz5tftFft094xIMPeCFCIqLz6Mqtq6ELB8W1MAPHV8P1hsRS4723/aXLEKD/def2/m5IkgFZA0yoWw8kbSowZ6l127KGYtOAmxYBGTO8Hi55mA/yvWnvXuh++832c/V/33O9e8D5nz0lCZBkRL36auBv79bOBcBfLaJzCgsLIcsyFCcrSRoMBqhUKlicXOmr39/b34KDg3HVVVdhxYoVTXrkk5KSMGnSJNuiapIkYfDgwRgwYAAKCwthNpsRExODSAdzfCmwqbp0htylC5SCAu8+kABqf1mIiPvuhXHLVojztryzRwoNPbdYjCQh+KKLEP3G61AlJno3ViIiACjYCVgMrtvF9bEO13a2uFnapZ6NraVmfQkER1kXWxOWc8Pqo3oAs78BEvufa5t6CfDgIetw+8rTQHhnIHmk9xeLI68IHnsBak+d8movOGQZtd/9gNBZsyD0ete7rMgypPDwc1uPAVCn90H0Sy8heLybiwGS17AAp4DjTs9hWloasrKy7B6TJAkpKSkB02McHh6OmTNnori4GIWFhbaLA472OVepVEhOTvZxlORpkiwj/O67UPnKq969Oq5SQTl7FgAgDG58oAUQ9corUPfoBqHXQ90nHWrOBSMin3Kz0EydCpTYz/WQVNZ9tft5cXux5lAHA1d9BFz8EnDkN8BUay26e15sv6dSkoCk4dYvatPCb78dtd99790HURTbaDdhdjLdoZ4kIfiSSxBx951Qis5C1bkz1P36suc7QLAAp4DSpUsX7N2712mbsLAwjBs3Dnq9HidOnLBt31X//06dOuHCC5u5z6gPxMfHIz7ejYVaqE2zFBWh9of5MB05CikkGEFjRsO4eUvjLcBk2fqzi5XO3XtAC1SdOwMANP36unWXoKGDoUlPd92QiMgbkoYD6hDA7GLl6FEPAjEpwB9/brDNV10BERoHzF1unVcdSCK6AMPv8ncU5GVCr4du0WIYNm8GhID2mtnW9VdkufH+1YrimYvwKhVUXa2dM1JYGFTJybCcPu24vaIgeED/drNvdnvDApwCSrdu3RAZGel0HvigQYOgVqsxdepUnD59GllZWaiurratJt69e/eAmP9NHU/NvG9Q/tTT1mQrSdYvsxmqnj2h6twZ5pwcyOHh0M6cgdCbbkTt9z+g6u2/uz6xs5XUJQnaWTMBAOpevRA8frz1A4G9oXAqFYKGDmXxTUT+FRIFDLsb2P6e/XngkhpImWydJx2fbh1mvuN/1qHraq11nvSguUAIp2iR7xn37UPJnFuglJRYi2zAmnMjIhA8ahRMhw4BkoSQCy9E2B23QykvR8kttwJujlKzy2JB2A03ALCO9Ay743ZUvvqa/c8GkgRoNAi99pqWPx55lSR8tVKQD1RWViIqKgoVFRWcN9uGlZeXY/Hixaitn6MK2Hq3+/Tpg4kTJ3IIDQUc/arVKJl7i/2DKhU0QwYjYeEvTd67Z6+9Dsat2xwWzJrBg2HOyrLO7bazNkLE4/8PkX96zPazOS8PZ2fMhFJc0vicKhXk6GgkLFwAda9eLXmK1ELMTZ7H17QdMOmAb64AcldZh5MLC2xbjiX0A25dDYRzXQoKLJbiYpyZcBFEVVXTnCzLkEK16LR2jW1kWr2q9z9A5etvOC6Yg4Oh7tUL5iNHmn4ekGUEjRyB+B++h1S3bpAwGlFy2+0wrFtvbVN/XpUKEAKxH7wP7RXTPfGUyU3NyUvsJqSAEx0djWuvvRZjxoxBXFwcwsLCEBkZiZSUFPTq1ctnq0sTNUfVO+84XpHUYoFp5y4Yt21rcijmn/+AHB937ip6vbqVyWM/fB8JC36GZvCgRoel6GhEvfwSIh57tNHt6m7dkLj0d4TffRekugQghYcj7PbbkPjH7yy+iSgwaLTAnD+Aa38Aek2yLlYW1RVIvRQY+aD1OFGAqfl6nv3iGwAUBaJWh5ovv2pyKPyuOxE84cJzo+PqqVSASoXYDz9Awk/zob3yCkDV4LOERoPQG65H3Ndf2YpvAJCCghD3xeeIeulFqHr0sJ0rZOolSPhlAYvvAMcecApYlZWVWLp0KcrLy229hkIIRERE4NJLL0VsbKyfIySyUsrLUdDfxTwrtRrhd96BqOefa3LIUlSE6o//D7XffgelrAxyTAxCb7oR4XffBVVCgq2dKSsL5pwcSOERCB49ClJQkMvYhNEIaDQcNeJHzE2ex9e0HTHpgF9uAw7+YO0Jl2TrntoaLXDlx8Cgm/wdIZHNmamXwnzwkNM26rQ0dFq7usntwmRCzdfzUPPZZzDn5AJBQdBOuxzh992LoAEDbO0sRUUw7tkDQELQiOFQufF5V5hMgEoFiVMw/aY5eYlzwCkgGY1GLFq0yDYMveF1ourqaixatAjXXXcdtFpeISf/E3oXCwm5aKdKTETUM08j6pmnIRTFYQLVpKc3e/62O0U6EZHf/HIbcOhH6/fCcm7LMVMt8PMcIDTeunc2UQBwZ6tPR20kjQbht9+G8Ntvc5rrVYmJ0E5t3nte0mia1Z78i5dJKCAdOXIENTU1doebCyFgNBqRmZnph8iImpLj4yFFRztvZDZDk5Hh8ly8ek1EHcbZw9aeb3sLsQHWobprXvRpSETOBA0c2HTKWEMqFTQD+js+Xoe5vmPjvz4FpGPHjjk9LoTA0aNHfRQNkXOSWo3wW29xPAdckiBptdBePcu3gRERBbJDP1qHnTsiFODUZqCqwHcxETkRdust9hdNrWexIOy223wWD7VNLMApIBmNRpdtTJ7YQ5nIQ8IfehCaQYOaFuEqFSBLiHn3Hcjh4f4JjogoEBkqrXO+Xbar8n4sRG4IHj0a4fffZ/2hYb6v+z7sjtsRfOF4P0RGbQkLcApI0dHRTheNkiQJ0a6G/BL5kBwaivgff0DE//sz5PqF0yQJIZMuRvzPP0N7+eX+DZCIKNDEp1sXXHNGHQJEJvsmHiI3RD7zNGLeexeafv1st6nT0xHz738h6uWXuOgpueSXRdiqqqqwcOFCLF26FNu2bUNeXh4kSUKvXr0wbdo0/PnPf0aXLl38ERoFiH79+iE3N9fhcSEE+jX4w0cUCGStFpGPPYqIRx+BqK6GFBzMRdCoQ2O+J6f6Xw/8/oh1wTV7JDUwaC4QFObbuIickCQJoTNnInTmTCg6HSAE5NBQf4dFbYhftiGbO3cuvv76awBAREQEUlNTUVNTg5ycHFgsFsTFxeH333/HyJEjm3VebkvSfgghsG7dOmRlZdk93rNnT0yZMgUyF7EgogDXkXMT8z25tO8b62rnktR4MTZJDUQmAXdvA8I7+S8+IiI3NCcv+a16mTlzJlasWIHS0lLs3r0bR44cQVZWFkaNGoWSkhLMnj0bOjeW+qf2SZIkTJgwARdccAHCws5d+dZqtRg5ciSLbyKiNoL5npwadBMwZymQPPrcbeoQYOjtLL6JqF3ySw94aWkpYh1sKp+Xl4e0tDQYjUb8/PPPmDXL/VWDeUW8fRJCoKrKugBLeHg4C28ialM6cm5ivqdmqSqwLrgWmcxh50TUpgR8D7ijZAwA3bp1Q0bdXrlHjhzxVUgUwCRJQmRkJCIjI1l8ExG1Icz31CwRXYD4Piy+iahdC8hqRq/XA7AONyYiIqL2ifmeiIg6moArwPfu3Wu7Ej5u3Dg/R0NERETewHxPREQdkV+2IXPEYrHg4YcfBgBMmjQJw4cPd9reYDDAYDDYfq6srPRqfERERNR6zPdERNRRBVQP+NNPP43169cjIiICH330kcv2b7zxBqKiomxf3bp180GURERE1BrM90RE1FE1exX0J598Er/++muzH+izzz7DBRdc4PD4hx9+iPvvvx9qtRq//PILpk+f7vKc9q6Id+vWjauiEhFRwGirK3Yz3xMREbmnObm+2UPQ8/PzkZWV1eygampqHB77/vvv8eCDD0KSJHz++eduJWMACA4ORnBwcLNjISIiIueY74mIiDzPL/uAN7RkyRLMnDkTJpMJ7733Hh544IEWn6ut9jIQEVH7xdxkxXxPRETtVcDvA15v3bp1uOaaa2AymfDGG2+0KhkTERFRYGK+JyIisvJbAb5z505ceeWV0Ol0eOqpp/DXv/7VX6EQERGRlzDfExERneOXAjwrKwuXXXYZKisr8cADD+D111/3RxhERETkRcz3REREjfllH/BHHnkExcXFkCQJe/bswfjx4+22u+OOO3DHHXf4ODoiIiLyBOZ7IiKixvxSgNdvJSKEwKZNmxy2mzJliq9CIiIiIg9jviciImrMLwX4mjVr/PGwRERE5EPM90RERI35dRV0IiIiIiIioo6CBTgRERERERGRD7AAJyIiIiIiIvIBv8wBJ6LGLKWlqP3hB5j27Qc0QQiZdDG0l18GKSjI36ERERGRJ5iNQOZPQPZSwGIEkkYAQ24DQuP8HRkR+RALcCI/0/22BKUPPQyYTIAkAZIE3Y8/orJbV8R/+w3UvXr5O0QiIiJqjeIjwFeXABUnAUkFQAAHfwBWPQvM/gboO8vfERKRj3AIOpEfGffuRen991uLbyEARQEsFgCAJb8AxdffCKHX+zlKIiIiajGTDvhyMlB52vqzsABCsX6ZDcD864CC3f6NkYh8hgU4kR9V/+8jAJK1+D6fxQLL6dPQLf7N53ERERGRhxz4Hqg8ZS28m6jL/5v/6dOQiMh/WIAT+ZH+j2W2Hm+7ZBm6Zct9FxARERF5VtavcPqRWzEDmQt8Fg4R+RcLcCI/EiaT8waKAmHgEHQiIqI2y6wDoDhvYzH6JBQi8j8W4ER+pE5PB2Qnv4YqFYL69/ddQERERORZnYfWLbzmgCQDnQb6Lh4i8isW4ER+FH7H7daF1xwRAqE33+S7gIiIiMizht8N21xve4QCjH7EZ+EQkX+xACfyo9DrrkXI9Gm27cdsVNYr5dFvvA51crKfoiMiIqJWi+kFTPuv9ftGPeF1eb/ftcCguT4Pi4j8gwU4kR9JKhViP3gf0a+/BnVKSt2NEoLHj0f8998hbM7N/g2QiIiIWm/k/cDc5UCvybAV3vEZwBUfAtd863w6GhG1K2p/B0DU0UkqFcJumYuwW+ZCGAyASgVJzV9NIiKidiV1ivXLYrZuSaYO9ndEROQH/JRPFECkYCZjIiKidk2lBj+CE3VcHO9CRERERERE5AMswImIiIiIiIh8gAU4ERERERERkQ+wACciIiIiIiLyARbgRERERERERD7AApyIiIiIiIjIB1iAExEREREREfkAC3AiIiIiIiIiH2ABTkREREREROQDLMCJiIiIiIiIfIAFOBEREREREZEPqP0dgCcJIQAAlZWVfo6EiIjIqj4n1ecoaj3meyIiCiTNyfXtqgCvqqoCAHTr1s3PkRARETVWVVWFqKgof4fRLjDfExFRIHIn10uiHV2SVxQF+fn5iIiIgCRJ/g7HYyorK9GtWzfk5eUhMjLS3+G0K3xtvYOvq/fwtfUOb76uQghUVVUhKSkJssyZX57QHvM9f7e9h6+t9/C19Q6+rt7jrde2Obm+XfWAy7KMrl27+jsMr4mMjOQvoZfwtfUOvq7ew9fWO7z1urLn27Pac77n77b38LX1Hr623sHX1Xu88dq6m+t5KZ6IiIiIiIjIB1iAExEREREREfkAC/A2IDg4GC+88AKCg4P9HUq7w9fWO/i6eg9fW+/g60r+xveg9/C19R6+tt7B19V7AuG1bVeLsBEREREREREFKvaAExEREREREfkAC3AiIiIiIiIiH2ABTkREREREROQDLMCJiIiIiIiIfIAFeACpqqrC119/jTlz5qBPnz7QarUIDQ1F//798cQTT6CgoKBF5+3ZsyckSXL4NWbMGA8/E/9ZsmQJpkyZgtjYWISFhWHYsGF49913oShKi863efNmzJgxAwkJCdBqtejXrx9eeeUV6PV6D0ceeIQQ2LBhA5544gmMGTMG0dHRCAoKQlJSEmbPno3Vq1c3+5wvvvii0/eiJEk4fPiwF55N4LnttttcvhYteZ915PcsABw/ftzl61r/tXbtWrfOyfcteRJzfesx13sW8733MNd7R1vP9WqPnIU84oEHHsDXX38NAIiIiEBGRgZqamqQlZWFQ4cO4bPPPsPvv/+OkSNHtuj8I0aMsLvkfv/+/VsVd6D429/+hqeeegoAkJKSgvDwcOzduxePPPIIVqxYgQULFkCW3b/mNG/ePNx6662wWCxITk5Gt27dcODAATz//PNYtGgR1qxZg9DQUG89Hb9btWoVpkyZAgCQZRlpaWkICwvD0aNH8fPPP+Pnn3/Gs88+i1deeaXZ5+7WrRu6d+9u91h7fk3t6d27NxITE+0ea877FeB7FgBCQkIwbtw4h8cLCgqQk5ODkJAQDBkypFnn5vuWPIG5vnWY6z2P+d77mOs9q83nekEBY86cOWLmzJlixYoVwmQy2W7Pzs4Wo0aNEgBEt27dRG1tbbPO26NHDwFA5ObmejjiwLFp0yYhSZKQZVl88803ttv37NkjOnXqJACIt99+2+3z5ebmiuDgYAFAvPXWW0JRFCGEEMePHxfp6ekCgHjwwQc9/jwCyfLly0VaWpp4//33RWlpqe12g8EgnnrqKQFAABCLFi1y+5wvvPCCACBeeOEFL0Tcttx6660CgPjss888cj6+Z91z8803CwDiuuuuc/s+fN+SJzHXtxxzvXcw33sPc71/BHquZwEeQEpKShweO3nypAgKChIAxM8//9ys83aEpDxt2jQBQNxzzz1Njs2bN08AEHFxccJoNLp1vgceeEAAEFOnTm1ybOPGjQKA0Gg0orCwsNWxB6qKiopGHw7Pd/nllwsA4qqrrnL7nEzI53g6KfM961pVVZUICwvjB0nyK+b6lmOu9w7me+9hrve9tpDrOQc8gMTGxjo81q1bN2RkZAAAjhw54quQ2oTKykqsWLECAHDnnXc2OX7ttdciMjISJSUlbs1jEkJgwYIFDs83duxYZGRkwGQyYeHCha2MPnBFRkZCrXY8S+WSSy4BwPdjIOB71j0///wzampqkJCQgMsuu8zf4VAHxVzfMsz13sN83zbwPeuetpDrOQe8DalfWEGr1bbo/q+88gry8/NhNpvRvXt3TJ06Fddccw1UKpUnw/S53bt3w2g0IiQkBMOGDWtyXKPRYOTIkVi5ciW2bt2KqVOnOj3fyZMnbYvgOJpfMm7cOBw+fBhbt27FPffc0/on0Qa15v24evVqHDx4ECUlJYiNjcWoUaNwyy23oHPnzp4OM+D9+OOP+OWXX1BZWYnExESMGzcOt9xyC6Kiotw+B9+z7qmfd3vDDTc4/bDpCN+35AvM9fYx1/sP833rMdf7TpvI9V7vYyeP2LNnj20Ozo4dO5p13/phafa+BgwYILKzs70UtW98/PHHAoDo06ePwzZ33323ACDmzp3r8nzLly8XAERwcLBtbs35XnvtNQFAXHjhhS2Ouy1TFEUMHTpUABAPPfSQ2/erH95j70ur1XpsiFZbUD8szd5XTEyM+P33390+F9+zruXn5wtZlgUAsW3btmbdl+9b8hXmeseY6/2D+b51mOt9q63keg5BbwMsFgsefvhhAMCkSZMwfPjwZt1/3Lhx+Oyzz5CVlQWdToeioiJ88cUXSEpKwoEDBzB16lRUVFR4I3SfKCsrAwDExMQ4bFN/rL6tO+eLjo6GJEmtPl979PHHH2P37t0ICgrCY4895vb9unTpgqeffhrbt29HSUkJamtrsXHjRlx++eXQ6XS44447sGjRIu8FHkBSU1Px+uuvY+/evaisrERVVRWWLVuG0aNHo6ysDDNnzsSOHTvcOhffs67NmzcPiqIgPT292atL831LvsBc7xxzvX8w37cOc71vtZlc77FSnrzmySefFABERESER69g5+bmiujoaAFAvPzyyx47r6+9/PLLLq/2PffccwKAmDx5ssvzffnllwJ1q9A68sknnwgAIjU1tUUxt2U7d+4UISEhthU4PUFRFDFr1izba+roym5HYDAYbCshT5o0ya378D3r2uDBgwUA8eqrr3rsnHzfkicx1zvHXO97zPfew1zvHW0l17MH3EOefPJJZGRkNPtr8+bNTs/74Ycf4q233oJarca3336L1NRUj8Xcs2dP3H///QCsCxa0VSEhIQAAo9HosI3BYADg3vwlT5+vPcnNzcUVV1wBvV6Pm266CY8//rhHzitJEv72t78BAI4dO4Z9+/Z55LxtUVBQkG2v1TVr1rh1FZvvWef279+PvXv3QpIkzJkzx2Pn5fu242Gu9x/met9ivvcu5nrPa0u5nouweUh+fj6ysrKafb+amhqHx77//ns8+OCDkCQJn3/+OaZPn96aEO264IILAADZ2dkeP7evuDPcxp2ha+efr7y8HEIIu8N8mnO+9qKwsBCXXHIJCgoKMH36dHz++ecOh0C1RJ8+fRAbG4vS0lJkZ2dj8ODBHjt3W1P/e6koCnJyclwOReV71rmvvvoKADBhwgT06NHDo+fm+7ZjYa73H+Z632G+9w3mes9qS7mePeAe8vXXX0NY91Vv1teUKVPsnm/JkiWYO3cuFEXBf//7X9x8881eiVuj0QAAzGazV87vC7179wZgXR3S0fPIyclp1Nad8xkMBuTn57f6fO1BaWkpLrnkEhw7dgwTJ07E/Pnzbe8dT2oP70dPaPjauvNa8D3rmKIo+PbbbwEAc+fO9cpj8H3bcTDX+w9zvW8w3/sOc73ntLVczwI8AK1btw7XXHMNTCYT3njjDTzwwANee6yDBw8CALp27eq1x/C2oUOHQqPRQK/XY9euXU2Om0wmbN++HQAwevRol+fr3r27bauBjRs32m1Tf7s752vrqqurMW3aNBw4cAAjR47EokWLvDK0qbi4GEVFRQDa9vvRE+p/LwH3Xgu+Zx1bvXo1Tp06hZCQEFxzzTUePz/ft9RSzPXNw1zvfcz3vsVc7zltLte3ehY5edSOHTtEZGSkACCeeuoprz5WTU2NSEtLEwDEfffd59XH8rbLL79cABD33HNPk2Pz5s0TAERcXJwwGAxune/+++8XAMTUqVObHNu4caMAIDQajSgoKGh17IFMr9eLSZMmCQCif//+oqSkxGuP9dRTTwkAIioqyu1/p/bqxhtvFABERkaG2/fhe9a++i1grrvuOq+cn+9bagnm+pZhrvce5nvfY673nLaW61mAB5DDhw+L+Ph4AUA88MADzbrvuHHjRI8ePcT8+fMb3f73v/9dvP/++6KsrKzR7ceOHRMXXXSRACBCQ0Pb/P6gGzZsEJIkCVmWxTfffGO7fc+ePaJTp04CgHjzzTcb3edf//qX6NGjh7j++uubnC8nJ0cEBQXZVv6sX/Hw+PHjIj09XQAQ999/v3eflJ+ZzWYxc+ZM26qP+fn5bt3P0et64MABcf/994sDBw40ul2n04nXXnvNtm/j66+/7rHnEKiWLVsm/vrXv4qcnJxGt5eXl4uHH37Ytu9kw/eyEHzPNldtba2IiIgQAMSiRYuctuX7lnyFub7lmOu9g/neO5jrfaMt5noW4AFk6tSpAoCQJEmMHTtWjBs3zu7XJ5980uS+PXr0EACabBL/6KOPCgBClmWRlpYmRo8eLdLT04UkSQKACA8Pd/lmbSteffVV2x+zlJQUMWjQINsvzPTp04XZbG7U/oUXXhAAxMSJE+2e74svvrDdPzk5WQwdOlRoNBoBQAwfPlxUV1f74Fn5zzfffGN7PXv37u3w/XjNNdc0up+j13X37t228yUkJIjhw4eL4cOHi9DQUNvtd955Z4fYkmTBggW255ycnCxGjhwphgwZYkuqkiSJF154ocn9+J5tnvr3cEJCgjCZTE7b8n1LvsJc3zrM9Z7HfO8dzPW+0RZzPVdBDyD1WwcIIbBp0yaH7Rwt5mLPDTfcAEVRsHXrVuTl5eHkyZMICgrCgAEDcOmll+Lhhx9G9+7dWx17IHjmmWcwePBg/Otf/8LOnTtRWFiIgQMH4vbbb8dDDz0ElUrVrPPdcsstSEtLwxtvvIFNmzbh0KFDSElJwY033oi//OUvtu0g2qv69yMAHD16FEePHrXbzt2VJnv27IlXXnkFmzZtwuHDh5GVlQWj0YjExERMmzYNd911Fy699FKPxB7ohg8fjmeeeQabN29GdnY2Dhw4ACEEkpOTceGFF+KBBx5o0fytjv6ePV/9iqg33HAD1OqWpTu+b8nTmOtbh7ne85jvvYO53jfaYq6XhBDCY2cjIiIiIiIiIru4CjoRERERERGRD7AAJyIiIiIiIvIBFuBEREREREREPsACnIiIiIiIiMgHWIATERERERER+QALcCIiIiIiIiIfYAFORERERERE5AMswImIiIiIiIh8gAU4ERERERERkQ+wACciIiIiIiLyARbgRERERERERD7AApyIiIiIiIjIB1iAExEREREREfkAC3AiIiIiIiIiH2ABTkREREREROQDLMCJiIiIiIiIfIAFOBEREREREZEPsAAnIiIiIiIi8gEW4EREREREREQ+wAKciIiIiIiIyAdYgBMRERERERH5AAtwIiIiIiIiIh9gAU7kYxdddBEkSYIkSXjxxRfdus+ePXuQkJBgu198fDx27drl3UAD0NVXX217DSRJwkUXXeTvkIiIiJpgrnfsxRdfbJTL3fn6+uuv/R02kcewACcKcNu3b8ekSZNQXFwMAEhMTMTq1asxbNgwP0fmWz/99BMWLFjg7zCIiIg8jrmeqONQ+zsAInJs48aNmDZtGiorKwEASUlJWLlyJTIyMvwcmW+Vl5fjoYce8ncYREREHteRc/3IkSMxatQol+3S09N9EA2Rb7AAJwpQq1evxpVXXomamhoAQPfu3bFq1Sqkpqb6OTLfe/zxx1FYWAiNRoMZM2bgxx9/9HdIRERErdbRc/20adPcHqJP1F5wCDpRAFq2bBmmT59uS8ipqalYt25dh0nIDa1atQqffPIJAODJJ59E//79/RwRERFR6zHXE3VMLMCJAszixYtx1VVXQafTAbAOu1q3bh169Ojh58h8T6fT4Z577gEApKWl4dlnn/VzRERERK3HXE/UcbEAJwogP/30E66++moYDAYAwMCBA7Fu3TokJSX5OTL/eOGFF3Ds2DEAwAcffICQkBA/R0RERNQ6zPVEHRsLcKIA8c033+D666+HyWQCAAwbNgyrV69GYmKinyPzj507d+Kf//wnAGDOnDmYMmWKnyMiIiJqHeZ6IuIibEQB4LPPPsNdd90FRVEAAGPGjMHvv/+O6Oho/wbmJ2azGXfddRcsFgtiY2NthTgREVFbxVzf1JkzZ/DVV1/hyJEjqKmpQUxMDLp3744LL7wQKSkp/g6PyCtYgBP52YcffogHHngAQggAwIQJE7B48WJERER45fFKS0vx/PPPe/ScvXv3xqOPPuqx8/3973/Hnj17AABvv/02EhISPHZuIiIiX2Out+/DDz/Ehx9+aPfYuHHj8OKLL3IEHLU7LMCJ/OiHH35AZmam7ecpU6Zg4cKFCA0N9dpjVlZW4r333vPoOSdOnOixpHz06FG89NJLtvPefvvtHjkvERGRPzDXt8zGjRsxdepUPP3003j11Vd99rhE3sY54ER+1DAhDxgwAIsWLfJqQg50Qgjcfffd0Ov1CAoKwocffghJkvwdFhERUYsx1zc1YMAAvPTSS1i3bh3OnDkDo9GIyspK7Nq1Cy+//DLi4+MBWD8XvPbaa3jzzTf9HDGR57AAJwoQBw8exFdffeX1x+nZsyeEEB79WrNmjUdi+/jjj7F27VoAwFNPPYWMjAyPnJeIiCgQMNcDjzzyCPbv34/nn38eF154IRITE6HRaBAREYGhQ4fiueeew4EDBzBq1CjbfZ577jnbrihEbR0LcCI/uuuuu2yLjAghcO+99+LLL7/0c1T+kZ+fjyeffBIA0KdPHzz11FN+joiIiKj1mOsbi42NddmmU6dOWLx4sa2tyWTCv/71L2+HRuQTLMCJ/Cg5ORmrVq1C9+7dAVgT8x133IHvv//ez5H53oMPPoiKigoAwP/+9z8EBwf7OSIiIqLWY65vmYSEBDz44IO2n3///Xc/RkPkOSzAifysR48eWLVqFZKSkgAAFosFc+bMwS+//OLfwHxo4cKFtud722234aKLLvJrPERERJ7EXN8ykydPtn2fk5MDo9Hox2iIPIOroBMFgNTUVKxatQoTJ07EmTNnYDabcf3112PBggWYNm2aRx8rELcm2b17t+37bdu2YcyYMQ7bnjp1yvb9rl27GrV9//33MWzYsBbHQURE5C0dPde3RJcuXRr9XFJS0uQ2oraGBThRgEhPT8eKFStw0UUXoaSkBEajEbNnz8aiRYs8ugdmoG9NcujQIbfbVlVVYevWrbafKysrPRIDERGRNzDXN09NTU2jn8PCwnz6+ETewCHoRAFkwIABWL58OaKjowEAer0eM2bMwLp16/wbGBEREXkEc737Go6QCwsLQ2RkpB+jIfIMFuBEAWbo0KH4448/EBERAQCora3F9OnTsWXLFo+cPxC3JnnxxRfdfqwXXnjBdr+JEyc2Osa540RE1BZ0xFzfEp9//rnt+wkTJvj88Ym8gQU4UQAaNWoUlixZYhtqVV1djcsuuww7d+70c2RERETkCR0x11dXV7vd9p133sH69ettP8+ZM8cbIRH5HAtwogA1fvx4LFq0CFqtFgBQUVGBqVOnYt++fX6OjIiIiDyho+X6f/zjH5g6dSoWLFgAvV5vt83Zs2fx6KOP4rHHHrPdNmLECNxwww0+ipLIu7gIG1EAu/jii7FgwQLMmDEDBoMBpaWlmDJlCtauXYu+ffv6OzwiIiJqpY6U64UQWL58OZYvX46QkBAMGDAAqampiIqKgsFgwLFjx7Bt27ZG24316NEDv/zyC2SZ/YbUPvCdTBTgLr30Uvzwww/QaDQArFeGJ0+ejKNHj/o5MiIiIvKEjpjr9Xo9duzYge+//x4fffQRvvjiC2zYsMFWfEuShGuuuQY7d+5EcnKyn6Ml8hwW4ERtwFVXXYVvvvkGKpUKAFBQUIDJkycjNzfXz5ERERGRJ3SEXP/EE09g5cqVePXVV3HFFVdg4MCB6NKlC4KDg6HVapGUlISLL74YzzzzDA4dOoT58+cjLi7O32ETeZQkhBD+DoKIiIiIiIiovfNID3hubi4+/vhj3H333Rg8eDDUajUkScKrr77q8r6bN2/GjBkzkJCQAK1Wi379+uGVV15xuDADERER+R5zPRERUet5ZBG2d955B++8806z7zdv3jzceuutsFgsSE5ORrdu3XDgwAE8//zzWLRoEdasWYPQ0FBPhEhEREStwFxPRETUeh7pAY+Pj8cVV1yBl19+Gb///jtmz57t8j7Hjx/HnXfeCYvFgrfeegt5eXnYtWsXjh49ivT0dGzfvh1PPvmkJ8IjIiKiVmKuJyIiaj2P9IA/++yzjX7+7rvvXN7n7bffhsFgwNSpU/HEE0/Ybu/Rowc+/fRTjBs3Dh999BGee+45dOrUyRNhEhERUQsx1xMREbWeX1ZBF0JgwYIFAIA777yzyfGxY8ciIyMDJpMJCxcu9HV4RERE1ErM9URERE35pQA/efIkCgoKAADjxo2z26b+9q1bt/osLiIiIvIM5noiIqKmPDIEvbmOHj0KAAgODkZSUpLdNikpKY3aukNRFOTn5yMiIgKSJLU+UCIiolYSQqCqqgpJSUmQZb9c9/YLb+V6gPmeiIgCS3NyvV8K8LKyMgBAdHS0w8QZExPTqK09BoMBBoPB9vPp06fRr18/D0ZKRETkGXl5eejatau/w/AZT+V6gPmeiIjaBndyvV8K8Pp9P4OCghy2CQ4OBgDodDqHbd544w289NJLTW7Py8tDZGRkK6MkIiJqvcrKSnTr1g0RERH+DsWnPJXrAeZ7IiIKbM3J9X4pwENCQgAARqPRYZv6K91ardZhm6eeegp//vOfbT/XP/HIyEgmZCIiCigdbai0p3I9wHxPRERtgzu53i8FeP2Qs/Lycggh7AZaPxytvq09wcHBtqvnREREFDg8lesB5nsiImo//LIaTO/evQFYr3zn5+fbbZOTk9OoLREREbUdzPVERERN+aUA7969Ozp37gwA2Lhxo9029bePHj3aZ3ERERGRZzDXExERNeWXAlySJMyaNQsA8MknnzQ5vmnTJhw+fBgajQZXXXWVr8MjIiKiVmKuJyIiaspvG5I+8cQTCAoKwrJly/D2229DCAEAOHHiBO644w4AwF133WW7ek5ERERtC3M9ERFRY5Koz4atsHHjRsyYMcP2c3V1NQwGA0JDQxutbLp7925069bN9vOXX36J22+/HYqiIDk5GYmJiThw4ABMJhOGDx+OtWvXIiwszO04KisrERUVhYqKCq6KSkREAaG95KZAyfVA+3lNiYiofWhOXvLIKugmkwklJSVNbq+trUVtba3tZ4vF0uj4LbfcgrS0NLzxxhvYtGkTDh06hJSUFNx44434y1/+YtvChIiIiPyLuZ6IiKj1PNIDHih4RZyIiAINc5Pn8TUlIqJA0py85Lc54EREREREREQdCQtwIiIiIiIiIh9gAU5ERERERETkAx5ZhI2IApfBYEBOTg50Oh3Cw8PRq1cvaDQaf4dFREREHqIoCk6cOIHy8nJoNBr07NkT4eHh/g6LiOxgAU7UTgkhsHv3buzatQuKokCSJAghsGHDBowZMwb9+vXzd4hERETUSnl5eVi9ejX0er0t12/atAl9+vTBhRdeCJVK5e8QiagBDkEnaqf27t2LHTt2QFEUANaCHADMZjM2bNiAI0eO+DM8IiIiaqUzZ85g6dKl0Ov1AM7legA4cuQI1q5d66/QiMgBFuBE7ZDJZMKuXbucttm2bZutOCciIqK2Z+fOnU6PZ2dno6yszEfREJE7WIATtUN5eXkwm81O29TW1qKoqMhHEREREZEnGQwGnDp1qlGv9/kkScKxY8d8GBURucICnKgdMhgMHm1HREREgcVoNLpsI0kScz1RgGEBTtQORUZGutUuIiLCy5EQERGRN2i1WpcLrCmK4vZnAiLyDRbgRO1QUlKS0+1HJElCQkICYmNjfRgVEREReYparUbv3r0hSZLDNrIso3fv3j6MiohcYQFO1A5JkoQJEyZAkqQmiVmSJMiyjPHjx/spOiIiIvKE4cOHQ6vVOizCx4wZg5CQEB9HRUTOsAAnaqe6du2KK664AgkJCY1uT0pKwowZM5rcTkRERG1LWFgYZs2ahZSUlEZFeGRkJCZNmoQBAwb4MToiskcSzpZObGMqKysRFRWFiooKznchaqCyshJ6vR6hoaFOh6YTkecxN3keX1OipvR6PSorK6HRaBAdHe10aDoReVZz8pLaRzERkR9FRkbyQyoREVE7FhISwuHmRG0Ah6ATERERERER+QB7wNsQ467dqP74Y+hXrwEsZmiGDkP4XXcg5JJLOMyIiIioHaiursaBAwdw9OhRGI1GREREoF+/fsjIyIBazY9tRERtHf+StxE1P8xH+Z//HyDLgMUCADBu2YLSjRsRft+9iHz2GRbhREREbVhpaSkWLVoEo9GI+iV6ysvLsWnTJmRnZ2P69OnQaDR+jpKIiFqDQ9DbAPPJkyh//AlACFvxDcD2ffWH/4N+xUo/RUdEREStJYTA8uXLGxXfDZ09exbbt2/3Q2RERORJLMDbgJqv5zlvoFKh5pNPfRMMEREReVx+fj4qKirsFt+AtUA/fPgwTCaTjyMjIiJPYgHeBhh37mzc830+iwXG3bt9FxARERF51NmzZ11OJTObzSgvL/dNQERE5BUswNsAyZ1FV1Qq7wdCREREXuHuOi5c74WIqG1jAd4GBF98MeAs4apUCJky2XcBERERkUd17drV4fDzelqtFrGxsT6KiIiIvIEFeBsQdv11kMLDrSug2yMEwu+607dBERERkcfExcUhOTnZaQ/34MGDITv6LEBERG0C/4q3AXJMDOK/mWctwhsmZlkGVCrE/OffCBo0yH8BEhERUatNnjzZ1sNdX4jX/z8jIwMDBw70W2xEROQZ3Ae8jQgaNhSdt2xC7Q/zoV+9BsJsQvCIEQi9+Waok5P8HR4RERG1UkhICGbNmoXjx4/j2LFj0Ol0iIqKQt++fZGYmOjv8IiIyANYgLchclQUwu++C+F33+XvUIiIiMgLZFlGSkoKUlJS/B0KERF5AYegExEREREREfkAC3AiIiIiIiIiH2ABTkREREREROQDLMCJiIiIiIiIfIAFOBEREREREZEPsAAnIiIiIiIi8gEW4EREREREREQ+wAKciIiIiIiIyAdYgBMRERERERH5AAtwIiIiIiIiIh9gAU5ERERERETkAyzAiYiIiIiIiHyABTgRERERERGRD7AAJyIiIiIiIvIBFuBEREREREREPsACnIiIiIiIiMgHWIATERERERER+QALcCIiIiIiIiIfYAFORERERERE5AN+L8CLiorw+OOPo3///ggNDUVISAhSU1Nxzz33IDs729/hERERUSsx1xMREVlJQgjhrwfPysrChAkTUFRUBI1Gg5SUFGg0GmRnZ0Ov1yM0NBRLlizBxIkT3TpfZWUloqKiUFFRgcjISC9HT0RE5FpHz02ezvUAX1MiIgoszclLfu0Bf/DBB1FUVIRx48YhJycHhw8fxv79+3Hq1ClcddVVqK2txe233w4/XiMgIiKiVmCuJyIiOsdvPeC1tbWIiIiAoijYt28fBg4c2Oh4WVkZ4uLiIITAoUOH0LdvX5fn5BVxIiIKNB05N3kj1wMd+zUlIqLA05y8pPZRTE0YjUYoigIASElJaXI8JiYGsbGxKCkpgdls9nV4RC1y+vRp7N+/H4WFhZAkCcnJyRg4cCA6derk79CIiHyOuZ7ao4qKCuzfvx+5ubkwm82IjY1F//79kZqaCkmS/B0eEQU4vw1Bj46ORrdu3QAAmzZtanI8KysLJSUliI6ORu/evX0dHlGz7dq1C7/99hvy8vJgNBphMBiQm5uLhQsXIjMz09/hERH5HHM9tTf5+fn48ccfkZmZCZ1OB5PJhKKiIqxatQorV660XXAiInLEr3PAX331VQDAHXfcgZ9++gklJSWoqKjAH3/8gZkzZ0KSJLz11lsICQnxZ5hELhUUFGDHjh0A0GgeY/3369evR1lZmV9iIyLyJ+Z6ai9MJhOWLVsGi8ViN9fn5OTg0KFD/gqPiNoIvw1BB4BbbrkF4eHheOWVV3DNNdc0OjZo0CAsWbIEl112mcP7GwwGGAwG28+VlZVei5XImQMHDkCSJIeLCEmShEOHDmHcuHE+joyIyL9am+sB5nsKDMeOHYPRaHTa5sCBA+jfvz+HohORQ37tARdCICcnByUlJVCpVEhLS0O/fv0QFBSEAwcO4KOPPkJpaanD+7/xxhuIioqyfdUPcyPytTNnzjhdwVcIgYKCAh9GREQUGFqb6wHmewoMRUVFLgvryspKl0U6EXVsfi3A77vvPjzxxBPo1q0bsrOzcfToURw8eBB5eXmYNm0aFixYgIsvvhgWi8Xu/Z966ilUVFTYvvLy8nz8DIis3LnSLct+/XUjIvKL1uZ6gPmeAoO7vdrs/SYiZ/xWEezduxcff/wxNBoNvvvuO/Ts2dN2LDExEfPmzUN8fDz27duHH374we45goODERkZ2eiLyB+6d+/uNOFKkoTu3bv7MCIiIv/zRK4HmO8pMHTt2tXpaDdJkpCQkICgoCAfRkVEbY3fCvCNGzdCCIE+ffrYHUoWGRmJUaNGAYBtcSuiQNW/f3+nx2VZdnt/WyKi9oK5ntqTHj16ICIiwuEFdyEEBg8e7OOoiKit8VsBXlVV5bJN/VVGvV7v7XCIWiU2NhaTJ0+GLMuNErMkSVCpVLjssssQFhbmxwiJiHyPuZ7aE1mWcfnll0Or1Ta6vT7vjxgxwu5+90REDfltFfT6/T6PHDmCvLy8JlfGKysrsX37dgBAnz59fB4fUXOlpKQgMTERmZmZKCgogCRJSE5ORkZGBkJDQ/0dHhGRzzHXU3sTHR2N66+/HkePHsXx48dhMpkQFxeHvn37Ii4uzt/hEVEbIAlnk1m8qLq6Gr169UJxcTHGjh2LefPm2eaGFRUV4c4778TixYsREhKC7OxsJCcnuzxnZWUloqKiUFFRwflhREQUEDpybvJGrgc69mtKRESBpzl5yW894OHh4fjyyy9x9dVXY9OmTUhLS0NKSgo0Gg2ys7NhNBqhVqvx4Ycfup2QiZrDfPIkLAUFkOPioElL83c4RETtDnM9+Zter0d5eTlUKhXi4uK4IwkR+Z3fCnAAuPzyy7F371784x//wKpVq3Dy5EkIIdClSxdMmDABjz32GIYNG+bPEKkdMu7bh4qXXoZxy1bbbZr+/RH57NMImTDBj5EREbU/zPXkD3q9Hlu2bEF2djYURQEAaLVaDBkyBAMGDOBWYUTkN34bgu4NHJJGrhj37sXZq2cDRhNQl5ABAJIESBJiP/0E2kum+C9AImp3mJs8j68pOWM0GrFgwQJUVlba3TZs4MCBuOCCC/wQGRG1V21iCDo5JoSAccsWGDZshLBYEDxiBIIvvgiSSuXv0Nq88meebVp8A0Bdgi5/8i8I2bGNrzUREXldRUUFcnNzYTAYEBUVhZSUFO4h7QH79+93WHzXH09PT0dsbKyPIyMiYgEecMynT6PktjtgPnQIUFv/earNZqi6dUXcp59C0497SbeU6ehRmHbvcdxACChFRTCsW4eQiy/2WVxERNSxWCwWrFu3DkePHoUkSZAkCYqiYNOmTRg/fjxXhG+lQ4cOOSy+Aeu2YVlZWewFJyK/4EoUAUTR6VB8zXUwZ2VZbzCbrV8ALPkFOHvttbCcOePHCNs2S94p140kCeaTed4PhoiIOqz169fj6NGjAKyj3urnKJvNZqxZswYnT570Z3htmqIo0Ol0TtsIIdzao56IyBtYgAcQ3YJfYDl5ErBYmh60WCAqq1DzxZe+D6ydkKOjXTcSAnJMjNdjISKijqmyshJHjhxx2mbHjh0+iqb9kSQJarXzAZ6SJCE4ONhHERERNcYCPIDoflloXQzMEUVB7c8LfBdQO6MZMhiqbl2dtpFCQxEyeZKPIiIioo4mNzfX5QrcxcXF7KFtIUmS0Lt3b6evsRACadx+lIj8hAV4AFEqKmyLgTlsU82E3FKSLCPyqaecton402OQw8J8FBEREXU0RqPRrS2wjEajD6JpnwYPHgy1Wm33dZYkCUlJSUhKSvJDZEREXIQtoKj79IYpM9P+EHQAkGWoU1J8G1SAEIoCw/r1MGUehqTVQnvJJVAldWn2eUJnXAWh16PihRchqqoAlcr6egcHI/JPjyH8/vu8EL1/VFVV4fTp01AUBYmJiYiPj/d3SEREHV5UVJRtzrcjkiQhPDzcRxEFltLSUuTn50MIgU6dOiExMbHZ54iMjMSVV16JFStWoLKyEpIk2RZl69mzJy666KJ2sw+40WjEyZMnYTAYEBkZieTkZMgy+9eIAhkL8AASdvNN0DkbYq4oCL/1Vt8FFCAMO3ai7MGHYDl1CpBlQAhUPPsctLNnI+Zvr0MKCWnW+cKuvw6hV10J3bJlsOQXQI6NhfbyyyC3k71kjUYj1q5di9zc3Ea3JyQkYPLkydwzl4jIj1JSUrBx40aYTCa7xyVJQmpqaoebo6zT6bBy5Urk5+cDgK1obmnuio+Px/XXX4/8/HyUlJRAlmV079693eRAIQT27NmD3bt3w1y3YC8AhIaGYsKECejevbsfoyMiZyThbJ+GNqY5G6AHIiEEyp96GrVffd30oCwj+KKJiPvsU0guFhdpT0xZWSiadgVgNDbdu1uWEXLZZYj7+H/+CS4AKYqCxYsX48yZM022YJEkCSEhIbjmmmug1Wr9FCFRx9PWc1MgauuvaU5ODlasWNGoZxaw/p3WarWYNWsWwjrQdCiz2YwFCxagvLzcbu4KDQ3F7NmzEdLMC+7t2a5duxwu1idJEqZNm4bk5GQfR0XUcTUnL3GMSgCRJAnRr7+GqJdfgqrB3CQ5JgYRf3oMcZ/8X4cqvgGg6j/vAiZT0+IbABQF+iVLYNy/3/eBBai8vDwUFhba3f9UCAG9Xo+DBw/6ITIiIqqXkpKCadOmISEhwXabLMtIS0vrcMU3ABw7dgxlZWUOc1dNTQ0OHz7sh8gCk8FgwK5duxweF0Jg27ZtPoyIiJqjY1VzbYAkywi/8w6E3XYrLCdPQlgUqHt0h6TR+Ds0nxMGA3SLf3M8Jx4A1GroFvyCoIEDfRdYADt69GiTHpWGhBDIysrCiBEjfBwZERE11LVrV3Tt2hU1NTUwGo0ICwtDUFCQv8Pyi/o90Z05cuQIhgwZ4v1g2oDc3FyX6wicPXsWFRUViIqK8lFUROQuFuABSlKpoO7Vy99h+JVSUws0mNdklxBQysp8E1AbUFtb67D4rqfX630UDRERuRIWFtbherzP505eYu46R6fTOb3YXk+v17MAJwpALMApoFiKi1H7zbfQLf0Dil4PqNUui3BVt24+ii7wRURE2J3/3VBH/6BHRET+ZbFYcOzYMRw5cgQ6nc6t4joiIsIHkbUN4eHhLotvgPmeKFCxAKeAYdyzB8U33ARRU3NuzrerbUIUBaHXXev94NqI9PR0l0P5+vXr56NoiIiIGtPr9fjtt99QUlLiVi9uvb59+3o5srajV69eWL9+faPVzxuq3+u8o25lRxTouAgbBQSlpgbFc+Y2Lr4BwEVijvjTY1B37erl6NqOLl26IMXBXvGSJCEmJgYZGRk+joqIiMhq7dq1KC0tBQC3im9JktC5c2f07t3b26G1GWq1GmPHjrV7TJIkyLKM0aNH+zgqInIXe8ApIOgW/AJRVu52e7lzZ0Q++ghC587xXlBtkCRJmDRpEiIjI3HgwAHb1fH6fWXHjh3bYRf5ISIi/6qsrMSJEyfcbq9SqZCRkYHRo0dDpVJ5MbK2JyMjA2q1Gtu2bUN1dbXt9oSEBIwfPx7x8fF+jI6InGEBTgHBsHEjIMv2txtrIO7H+ZDDQqHp3x8Sk7Fdsixj1KhRGDp0KM6ePQtFURAXF8e9v4mIyK/y8/PdanfBBRcgISEBsbGxvGjsRFpaGlJTU3H27FkYDAZEREQgOjra32ERkQsswCkwCOFyuDkABI8aycLbTRqNBkkN9pMnIiJqC6Kjo9G5c2d/h9EmSJKExMREf4dBRM3AOeAUEIJGjnTeQJahGTqExTcREVEb1alTJ5dtZFlGQkKCD6IhIvIPFuDkE5bSUhi2boVxzx4IO6t2hl4zG1JoKCA7WPVcURB+991ejpKIiIhaymw248yZMygsLITRaGxyPCYmBklJSZAc7HAiSRLS0tIQEhLi7VCJiPyGQ9DJqyxnz6LipZeh+3URYLEAAOSEeEQ89BDC7rzDloTlqCjEffoJim+9FTCZbW2hUgEWC8LuuRvaq67019PwiNLSUuTm5sJkMiE6OhqpqanQaDT+DouIiKhVFEXB7t27sX//flvhrVKp0KdPH4wePbrRPO5Jkybh119/RWVlZZPzxMfHO1zdu63Q6XTIzs5GTU0NQkJCkJaWxu3AiKgRSbi7AWMbUFlZiaioKFRUVCAyMtLf4XR4SlkZiqZdAcvp0+cK6gbC778PUc8+0+g288mTqPnsc+h+XwphMCBo8CCE3X4bgidMcHjFPNCZTCasXr0ax48fhyRJkCQJiqJArVbjoosucrhtGBG1D8xNnsfXNHAIIbBq1SocO3asyTFJkhAfH48rr7wSavW5Ph+j0YisrCxkZWVBp9MhPDwcffv2RVpaWqN2bYkQAnv27MGOHTsghIAsyxBCQAiBgQMHYsyYMW32cwwRudacvMQCnLym4o2/ofqDD+0W3/US166BJi3Vh1H53tKlS5GXl2d3v1NJkjB9+nQulkbUjjE3eR5f08CRn5+PxYsXO20zbtw49O/f30cR+cehQ4ewYcMGh8eHDRuGESNG+DAiIvKl5uQlzgEnrxBCoObreU6Lb6hUqP3+e98F5QfFxcU4efKk3eK73q5du3wYERERkeccPnzYZc/uoUOHfBSNfyiKgh07djhts3fvXrvz4omo42EBTt6h10OUlztvIwQseXk+CcdfcnNznX4wEUIgPz8fer3eh1ERERF5RmVlpdOLzABQXV3to2j8o7Cw0GUet1gsyGvnn3mIyD0swMk7goOtX87IMuSYGN/E4ydGo9GtOV8mk8kH0RAREXlWSEiIyzwX7OrzQBvnbg5nricigAU4eYkkywidNcu6irkjZjO0V8+y/Wg5cwaGTZutW5U5G7rehkRHR0NRFKdt1Go1QkNDfRQRERGR5/Tu3dtpD7gkSejTp4/tZ5PJhMLCQhQUFLSbIdlRUVEebUdE7VvbXGqSAp45Lw9SWBggSdav85OzLCN44gQEjRgB8+l8VLzwAvR/LAPqilW5UydEPvYoQufOadOrhqalpWHLli2wOLigIEkS0tPToXJ2oYK8xmg0orS0FLIsIzY2ts2uvktE5A9GoxF6vR7BwcEwGAxNjkuShJCQEPTv3x8WiwU7duzAwYMHYTabAVi3KsvIyMDo0aPb9N/f6OhodO7cGWfOnHG44GpERAQ6d+7sh+jIIizIrciB0WJE1/CuiAzmhRDyr7b7144CklAUVL7+Bqo//B8gSwDsFN+SBO2MqxD99ltQiopw9sqroBQX24pvAFDOnEH5U0/DUlKCyD895tPn4EnBwcEYP3481q5d2+RYfUIePny4HyLr2EwmE7Zu3YqsrCzbxZGgoCAMGDAAw4YNgyxzcBARkTO5ublYvXo1zGazwwvlsbGxmDJlCoKDg7Fs2TKcPHmy0XGLxYJDhw6hpKQE06dPb9MXo8ePH4+FCxfCbDY3KsLrtx+96KKL2nSHQlskhMCS3N8w/8j3KNWXAgBkScb45Atx54C7ERPSvqdBUuBiAU4eVf3f96xbjwGApelV4OBJFyP6jdeh7toVAFD+6mvW4ttBD3HVP/6J0Ouugzq57W7TlZ6eDq1Wi127dqGoqAiA9ap/eno6RowYgZCQED9H2LGYzWb89ttvOHv2bKMPSUajEbt27UJ5eTkmT57MD0pERA6cOXMGK1assP0NPb/XNywsDJMnT0anTp0gSRKOHz/epPiuJ4RAYWEhjh071mioelsTGxuLWbNmYceOHcjNzbW9Jt26dcOIESMQHx/v5wg7nq8zv8T8Iz80uk0RCjacXo+s0sP4x0X/RmQQtzEk32MB3gEIgwG633+HftUawGSEZvAghF53PVSxnr3yp+h0qHrvfadtjJu32BZeE0Yjar//wflWZZIE3Y8/IuLRRzwZqs91794d3bt3R21tLUwmE8LCwtr0cLu27MiRI7YLIfbk5OQgIyMDXesuEhERtQX1hWx2djYMBgPCw8ORnp6OGC8sdrp7926nx2tqamCxWGwXMuu3KnM2VzwzM7NNF+CAdSj6lClTYDQaUVtbi5CQEF5k95OCmoImxXc9RSg4qzuLn478iNsH3OHjyIhYgLd7puxjKLnxJljy860LogkB3aLFqHzzbcS+/19oL7/cY49l3LQZwsVWI0KnQ/X7H8C4axeM23dA6HTOTyrLMJ865bEYfcFoNOLIkSM4cuQIdDodwsPD0bdvX6SmpnKxtQCQmZnp9LgkSTh8+DALcCJqM8xmM5YvX468vDxboStJEvbt24dBgwZh9OjRHhvVY7FYHPZm16v/O3rs2DHk5OS4tdhaVVWVR+LzFSEETpw4gUOHDqGsrAxBQUFITU1F3759odVqERQU5O8QO7QVJ5ZBlmQowv5CuIpQsOzEUtza/zbIEqedkW+xAG/HFJ0OxdffAOXsWesNDXuaTSaU3ns/En5bhKCBAz3yeKK21q12Vf9+x3oxwJ2VzoWAHBvbysh8p7a2FosWLUJFRYXttpqaGpw5cwaZmZmYNm0aNBqNHyMkVx/yhBCorKz0UTRERK23bt06nKq7WH3+sPB9+/YhNDQUgwYN8shjOVpU9HzHjh1z2evdUFvqKVYUBatXr270HGtqarBz507s378fV155JWLb0GeX9qiotghw8darMdVAb9YjVMPOEfItXvJpx3QLF0IpLLRf6NYlxOqPPvbY46l7p7nf2N1txiwWhM6c0bKA/GDVqlUOi7eioiJs3rzZxxHR+dzZj1ar1fogEiKi1quqqkJ2drbTQnfv3r0ut8R0l0ajcfk30tHccGfa0vDzAwcO4NixYwAaP0chBIxGI5YuXeqx15taJiIowuWoD7WsRrC6fe9RT4GJBXg7pl+2wroFmCMWC/RL//DY42kyMqAZNsz53t/NIUnQzpgBTd++njmfl5WVlSE/P9/hBw4hBI4cOWJ3qxZvMBqNOHToENauXYv169fj+PHj/EAA64c8V0m5d+/ePoqGiKh18vLyXLbR6XQoLi72yONJkoR+/fp5bEi7JEkIDw9HRkaGR87nbYqiYN++fQ6PCyFQXV3t1r+LJ1iEBdsLt+H9Pe/hP7v+jd9yFqPGVOOTxw5kE7peBItw3NkjSzImJE+ESmq7K+9T28Uh6O2YMBiabgF2fhuTyaOPGfP3t3B2xizrcPSGvdzuDjmvJ8sIvfEGRL/yskfj86bCwkKXbRRFwdmzZ70+v/jUqVNYvnw5TCaT7UNSZmYmIiMjMW3aNERGdtxVP/v164dDhw5Br9c3uVgiSRJiYmLQq1cvP0VHRNQ89YudueptdnfouDsGDRqEkydPori4uMmWW83p9QaAxMRETJ48uc3Mma6pqUGtiyl3siyjoKAAPXr08GosZ2uL8OLm55FXlWcrJFecXI7PD36Kx0c8idFdxnj18QNZekw6RnYahZ1ndkBB484HGTI0chCu6XOtn6Kjjo494O2YZkB/573RsgxNX89ecdakpyPx99+gnTkDqF/lW62G9qorIbmxBYeqazKi33oTnXdsQ8xbb0JyY7hwoAiUbavKysqwdOlSmOourgghbB+IqqqqsHjxYpjNZn+G6FdarRZXXXWVbX5ew3+3pKSkNr8XLRF1LHFxcS6LXkmSEB0d7bHH1Gg0uOKKKzBkyJBG03oSExPRtWtXt/Lh6NGjcfXVV2PGjBkIDw/3WGyBwtufCcyKGc9tehanq08DsPaE1/f4Gi1GvLHtNRwrz/ZqDIFMkiQ8OfIvuLDrBEh1/8l1ZU9CaAJeHfcaukZ083OU1FGxB7wdC7v5JlS//4HjBoqCsNtvd+tc5lOnYM7JgRQahqAhgyE52UJL3asXYv/zDpQ3/wZRVg4pOgpyaCjKn3oaNfO+cdwTLssIvfFGhN18k1sxBZouXbq4bKNSqZCYmOjVOPbt2+d0GHx1dTWOHTuG9PR0r8YRyKKionD11Vfj7NmzKCwshCzLSE5O9sp2PURE3tSlSxdERkaiqqrK7t9+SZKQkpLi1toWBoMBxcXFkCQJ8fHxTnulNRoNRo4cieHDh0On00GlUiEkJAS5ubm2BeHskSQJiYmJGDx4sHtPMMCEh4cjPDwc1U52fVEUxa3PBK2xpWAz8uuK7/MJCMiQsSD7Zzw+4kmvxhHIgtUh+H8jnsAt/W7F9sJtMFiM6BXVC4MSBnPlc/IrFuDtmLp7d0S/9irKn3q68RBwSQKEgPaqqxB6zWyn5zDn5KL8mWdgWLfedpucmIjI//dnhM252el9Za0WaJDww+64HTXffGt7/MaNZUghIQi76cbmPckAEhUVhW7duuHUqVMOPwRlZGR4fZhdbm6uy96Q48ePd+gCHDj3IdDbF0SIiLxJkiRMmTIFixYtgtlsbjIkPCIiAmPHjnV6DrPZjC1btiArK8s2VF2lUiEjIwOjR4+G2slFd1mWERYWZvu5R48eiIiIQHV1td1cJIRos8U3YH1NBw0ahE2bNjk8HhERgW7dvNu7urVgi9NttizCgs35m2xb0nVkCaGJmJZyhb/DILLh5Z92LuyWuYj77lsEXzjetiCbuncaot96EzHvvQtJdvwWMJ88iaKrroJhY+MkoxQVofwvf0XVf99rViya3r0R+78PrEPTGz6uJEHSahH31RdQtfFi6OKLL24yzK8+8XXp0gWjR4/2egzuzPMzeXjuPxER+U98fDxmz56NjIwM2xSa4OBgDB48GDNnznTa+60oCpYsWYLMzMxG+cNiseDQoUPNXtFblmVMmzYNoaGNt3aqz4WjR49Gz549m/HsAk///v1tF7HPL25DQkJw2WWXeb3oNVgMDovveibFBOFqLy4i8jlJNHe1jABWWVmJqKgoVFRUdOhFphwRFgtgsUByswe29JFHoftloeMh4yoVOu/cDlVCQrPisBQWoubb72Dcug2QZQRPGI/Q666HKrZ9DP81m83Izs7GkSNHoNPpEBERgYyMDPTs2ROykwsenvLzzz87Xe1WkiQMGDAAF1xwgddjISLmJm/ga+qYEAIWiwUqlcqtIvDo0aNYvXq10zaTJ09Gampqs+Iwm804duwYcnNzYTabERsbi379+nl0Lro/CSFw+vRpZGZmorS0FEFBQUhNTUV6erpb21221teHvsKPR39wWoR3De+K96f8z+uxEFHz8hKHoHcgkkrl9hZhSk0NdAt/db5yuRCo/XkBIu69x/45amthPnoUUKmgSU+HpNEAAFSdOyPyT481N/w2Q61WIyMjw29bqvTv3x9r1651eFwIgb5tZGs3IiJqHkmSnA4ZP19mZqbT1cslScLhw4cdFuBCCJSVlcFsNiMqKspWfKrVaqSnp7fb6U6SJKFr165e39XEkak9L8X8I987PC5BwvSUK30YERG5iwU42aUUFwOuVspWqWA5nd/0vjodKt98C7XzvrFuRwZAjo1F+D13I/yB+60XApw9dlkZar75FrU/L4BSWQFNahrCbpmLkMsutTtkXtHpYNiwEaKmGuq0NAQNGOD+E22HevfujRMnTuD48eN2j48ePbrd9EAQEVHrOFq8rZ4QAlVVVXZvP3z4MHbt2oWaGuu+07IsIy0tDWPGjEFISIjTx1UUBTk5OcjMzERlZSVCQkLQp08fpKen210rRQiBM2fOoLq6GiEhIUhKSvLJqLJAlRiaiHsG3Yf/7fsAMuRGW21JkDAkcSgu7XmZHyMkIkdYgJNdcnS0/cXSGlIUqOJiG90kDAaU3HQzjDt2Ag3mjCmlpah8802YsrMR8+9/ORwWZzqWg+JrroFSXGK7v+FMEQzr1yPk8ssQ++EHthXYhRCofu99VL37X4gGq5Gq+/ZFzL//2WELcVmWMWXKFBw8eBAHDhywfXBKTEzEkCFD2vzcOyIi8hytVmsroJ21Od/OnTuxa9euRrcpioKjR4/izJkzmDlzpsOh2GazGUuXLkV+fr6t972mpgabN2/GgQMHcOWVVzbamiwvLw8bNmxodCEgJCQEY8aMQZ8+fZrzdNuV6SlXoHNYZ/x4ZD4OlhwAAMRr43FFylW4KnUG1DI/5hMFIv5mkl1yVBRCJk+GfvVqx8PQFcW633cDtfN/hHH7dthd80MAuh9/Qtj11yN4bNP5x0JRUHrHnVBKShsV7/WPr1/6B6r++x4iH3sUAFD5tzdRbWchOHNmJs5OvxJx33+HkDHeX/QsEMmyjIEDB2LAgAEwGo2QZRmauikARERE9dLT052uGwKgSZFbWVnZpPiuJ4RAZWUl9u7di1GjRtlts337dhQUFNjaN1RdXY2VK1dixgzr54tTp05h6dKlTdrp9XqsWbMGFRUVGDlypNP427PhnUZgeKcR0Jv1MCsmhGnCO/yq50SBLiDG7lgsFnz88ceYOHEi4uPjERISgh49emDmzJlYuHChv8PrsCIe/7N1zriDIV5SRARKbr0N5S+8CHNuLgCg5quvADj5w69Soeabb+weMmzYCHN2tuOCXwjUfPIphMkES0GB8z3OzWaUzJkLS0mJ4zYdgCRJCA4ObjPFt8lkQmZmJhYtWoSffvoJq1atQmFhoctt1Ygo8DHXB6Y+ffogKirKYdEmyzL27NmD5cuXIz8/H0IIZGVlOS3yhBDIzMy0+7e7/u+8o7/r9UPNi4uLIYTA5s2bneaA3bt3O913vKMIUYcgPCiiTRTfilCwo3A73tj6Gh5b/TBe3PQ81p5aA5PCHVqoY/B7D3hZWRmmTZuGLVu2QJIk9OnTBz179kR+fj4WLlwItVptuwpKvhU0cCDiv/sGZY8+BkveqcZD0iUJorIS5spKmHNyUfP5F4j98H2YT5x0PmzdYoE5J9fuIeO2bdYtypzMPVdKS2E+fhz6FStdPwGdDpVv/A0xf3/bdVvyu6qqKixatAjVDaYTlJaWIjs7G/369cO4cePaxAcLImqKuT5waTQaXHnllVi1ahXy8+2s66IoqKqqQnV1NXJzczFgwADU1q3v4ozBYIDZbG5yAbikpARmV2vMACgoKIAkSSgrK3PZdtWqVZg7dy5zRBtgUkz427bXsb1wm20fcxkydhXtxIKon/HKuNcQERTh7zCJvMqvPeCKouCqq67Cli1bcPXVV+PkyZM4fPgwduzYgfz8fOTl5eGRRx7xZ4gdXvDo0ei0aSPivvsWYffde+5AwyK7bnuz0vsfhBQW5vyEsgz5vHnjNu4mTkmC5cwZt5rW/rwAQq+3/SwMBgiDwb3HIZ8RQmDp0qVN5iHW93ocOnQImZmZ/giNiFqJuT7whYaG4oorrsC1116LsWPHQqPRNClm6/8eHzhwAPoGedURWZZte5K3hCRJbhX6gHU4ev2QdsD6njObzRw9FYC+PvQVdhRuBwDbFmr1C8gdr8zFO7v+5bfYiHzFrz3gH330ETZs2ICLL74Y8+fPb7KapT+3d6BzJFlGyIXjUfvjj9Yh6faGiAsBKArUXZNhLCpqPIe7IUVB6KxZdg8FjxmDqn86/8MrJ8RD3bMnVJ06Oe9pr2cwwHL2LEx796Hqww9h2r0HAKAZMADh994D7ayZvGIeAPLz8132cuzZswd9+/blvxdRG8Nc33bExMSguLgYJpPzocCuVk6XJAmpqal2VymPi4uDWq122QvepUsX94KuU1FRgaCgIOzZswe5ubkQQkCr1aJ///4YOHBgm5mK1Z7pzDosyV0MYXehIGtBvq1wK/Kr85EUnuTj6Ih8x68F+DvvvAMAeOWVVzr0VhJthWH9Buf7glssUGpqIcfEQCkvb9pWpYI6LQ3a6dPs3j1o7AVQp/eBOfuYw8cJv+suSGo1QmfOQOVrr7sVd82nn6H6o48bzWU3HTyAsocfQcWbbyJ4zBiEzp6N4AvHe6W4q6mpQWZmJvLy8qAoCrp06YJ+/fpxK7AGTp8+7XQfWsC6ME91dTUiIjg0jagtYa5vW+qHfjv7e1xVVYWkpCQUFBQ0aSdJEmRZxpAhQ+zeV6PRoF+/fti3b5/d45IkoXPnzoiLi4MQAhEREXa3QbMX08aNGyGEsMWk0+mwY8cO7N27F0lJSejZsydSU1ObtU+6uwxmPdaeWou1p9agyliF5PBkTO15GYYkDOGF4zrZZUdhsLgehbiveC8LcGrX/JYJjx49isOHDyM2NhZjx47FwoULMWfOHEyePBk33HAD/u///g8GDhUOLG70OEtqFeJ//gnq1BTrDQ0WcQsaNRLxP3wHycG2JJIkIe6zT6292w2TVd0QNu2MGQi//z7rTV26IPTGG1wEI0EzYIC1+AYa98rXPRXl1Gnofl6AkhtvQsmNN0Nxc7ibu06fPo3vvvsOu3fvxtmzZ1FSUoKDBw/ihx9+wOHDh5t9PovFgoqKClRXV7eroXVCCLc+oLSn50zUETDXt18XX3xxo20t6/+Gh4aGYvr06YiJiXF435EjR6Jbt26N7lcvMjISkydPth0bP368y1hUKhUOHjwIRVEcLvx24sQJrF27Ft999x3Ky8tdnrM5SnTFeHT1w/jvnv/gQPF+HK/MxeaCTXhh07P4586/wyKcdF7YIYRAUW0RCmoKYFZcz5dvKxruVe60nXCvHVFb5bce8J07dwIAMjIyMHfuXMybN6/R8e+//x7/+Mc/sHTpUvTo0cMfIdJ5gsePg27hr457wVUqBI8fD01aKhJXrYRxyxYYd+4C1CoEj78QQQP6u3wMdY8eSFy5HLXzf0TtzwugVFZAk5qKsLlzETzp4kaJOvqtN2HcsRPmI0fsn0ySIMXEOB42X69+v/GNG1H+1NOIfeffLuN0R21tLZYuXQrLeY9d/+Fg3bp1iI2NRWJiostzmUwm7Ny5E5mZmbahgTExMRg6dCjS0tI8Eq8/derUCXv37nXaRqvVNtoXlogCH3N929O5c2eXF4hjYmIQFhaGSy65BBUVFThx4gQsFgvi4uLQtWtXlyMdVCoVLr30Upw4cQKZmZmorKyEVqtF79690bt370bDxbt164YBAwbgwIEDDs/XtWtXnDhxwq3np9Pp8Ntvv+GGG25o1Rz1ekIIvLHtdRTWFlp/rrvCX19Erj21Bt0je+DaPte5da5lJ/7AT0d/RGGNdU57RFAEpve6Atf2uR4aVdseRp8SlQq1pIZZOL+o0De2r48iIvIPv/WA1y+WsX37dsybNw933XUXjh8/Dr1ejxUrViAlJQWHDx/G7NmzoTiYT2wwGFBZWdnoi7wn/I7bHc/triuMw+bOqftRQvAFFyDioQcRcd99bhXf9eTISITfeQcSf1uEzuvXIe7zzxAyeVKTq+SSJCFhyWIEX3bpuRjqhpVJ4WGI/eB9KAUFzovvhhQFup8XwFJY6Haszhw+fNjhexewxr9//36X5zGbzVi8eDH279/faF5eWVkZVq1ahT179ngiXLfUbw9z4sQJlJSUeKxHunv37ggLC3PaC96/f38OXyVqYzyR6wHme19KSUlBSEiI07/HgwYNsn0fFRWFQYMGYejQoejevbvbf6dlWUavXr0wbdo03HDDDZgxYwb69etnd6722LFjMWrUKFtMDf8/aNAgREZGuv24QgjU1NQgJyfHrfauHC0/giNlWU57bRdm/+JWT/bnBz/De3vetRXfAFBlrML3Wd/h5S0v+rQ3/HT1aWwv3IYDxfs99rgRQRG4qNskyJL9fytZktE3ti96RaV45PGIApXfesDrVzs2mUy48MIL8fHHH9uOTZ48GT///DOGDh2KnTt34rfffsOVV17Z5BxvvPEGXnrpJZ/F3NEFDR2KqNdeRcUzz1qHldcXtioVIASCJ05E5d//gaChQxF6zWzIkZFej0nWahH/yf/BdPQo9Et+h1JTA3VqKrRXXgE5NBRV773XvBMqCvRr1yHsetdXql05deqU0wJVCOHW3qUHDhzA2bNnHR7ftm0bUlJSEOnl1zsnJwdbtmxptE1YbGwsxo0b1+zFcs4nyzIuvfRSLF68GCaTyfa61c9D7N69u8P5hEQUuDyR6wHme19Sq9W47LLLsOT/s3fX8VFd2wLHf/uckbgnJMEhuGuLW4ECLZS21IV67+27vXW5pe56pe5UoYVCFZfiVtw9BEKUuI6c8/6YJBDISJJJJoH9fR/ehZmdc1bSlj3r7L3Xmjevyr+Po6KiOH78OLm5uXTo0IHQ0NB6iatnz5507NiRQ4cOUVhYiL+/P23btiUwMJBNmzZV64GwEIKkpCTatWtX67h2ZGyvaKflTJ4ll+P5x2kd2trpmMM5h5h76Kcq39PR2Z6xjWVJSxnTamytY3blWF4iH2x7n71ZeypeCzGFckPHGxjXekKtz7Pf2e0uEvOOcCjnEAJRsWNAIIj0i+SRvo/V6vqS1Bj4bDnJz8+v4vf//Oc/z3m/R48ejBgxAoAFCxZUeY0nn3yS3Nzcil/Hjx+vm2ClCkG33kL0gnkETJmC2rIFanwcmEygaZQuW0bxnLnkPv0MKV26kfPUNHQ3lVS9xdiuHcH/vJ/Qfz1J4LXXoAQEAOB/6aWViq95xEsxe/JhwJMxu3fvdvm+EKJG58mr4+DBgyxZsqRS8g2OPt1//PEHqV7YNRAVFcWUKVPo2bMnwcHBmM1mYmJiGDlyJGPGjJGr35LUCHljrgc539e3mJgYrrnmGnr37l2x3dxkMgGQmZnJkSNH2LZtGz/88AO//PKLx+3CasvPz4+uXbty0UUX0b17dwLLWp+2bNmyWgm4rusud1xUh+bhfXU355oXJM5HFc63xAsEfxz9vVqxVVdyQTKPrXyU/dmVP1PkWXL5aMeHzD44q9b3CDAG8OqQN/hbj/toHdqaIGMQTYOacUvnW/nviHeJDnB/LE+SGjufrYCfWZyjY8eOVY7p1KkTy5YtIzExscr3zWYzZicFvaS6Y+raFdPbb2I7epS0MZdCcfG5gzSNwulfYc/KIuKD931WATTgxhvI/+hj9MJCj7eiG3t0dz/IA3FxcaSnpzv9UCCEcLtybLfbz+mNfTZd171eUObsGNauXevy/mvXruXKK6+s9b0CAwPp168f/fr1q/W1JEnyPW/M9SDne18ICAigT58+9OrVizlz5jidi9LS0pg7dy5XX321z/4ZxcTEEBcXR2pqqseJeHR0tFfu3Smik9uiYQGGAJoGu261dzz/uMtibTo6yQXJNYrRU9/u+ZpSe4nT7+f7vd8yuuUYwsxhtbqPWTUzrvV4xrWuuiuOJJ3vfLak1KFDh4rfO/sLu/z1s4tYSQ1D/kefVJ18n6Hk19+w1uEZZa2oiOKFCymaNRvL5i3nTLxqVBRRM79H8WSLnKpi7N4dU7duXonNXc9qXdfp2rWry2soiuLRyu+pU6eqHZ8r6enprFu3jj///JM///zTZZViXdfJzMx028dbkqQLj5zrG79jx46RlZXlckxhYaHb3Vq1oes6J0+e5MCBAyQlJVX578ro0aM9TqoVRan072ZtdI3qRvPgFk7PNQsE41pPwKy6fjgRaAxE4Hqxwma3UmApcDmmOjKLM/lh/0z+s/kdPtz2AWtPrnH5MEHTNVYc/9Nr95ekC5XPVsB79eqFn58fJSUlHDlypMpKzuUFMpo2bVrf4UkeKJ47131rMiEo+nEWpl69vHpvXdcpeO998v73Pyg64yGA0UDA5CsJefxR1NhYAEw9etBk43qKf/2VkqXLKf3zT/SiosqxqypKWBjh773rtRiDg4MZMWIEy5Ytq/KJfM+ePd3+uy2EoE2bNhw6dMjluPz8fDIzM4mKiqpVzDabjSVLlpCUlFTx8MDT1YTCwkKXbWckSbrwyLm+8XM3/5Tbt28fvXv39vr9jx8/zqpVq845AhUTE8OgQYMqkm4/Pz8mTZpEcnIyR44c4cSJE+d8Tfm8NmLECPz9/b0SnxCCf100jSdWPUZuac4577cLb8cNHW90e53B8UPYlLrR5RgNjYXHFnBVu6trGm6Fnw7M4us9XzmSfiFwrLG7nu8VoXKqJLPW95akC53PVsADAwMZP96x9eSrr7465/3U1FQWLlwIwMiRI+s1Nsk9XdMc27rdDtSxp6V5/f75b7xJ3muvV06+Aaw2in78kbShw7Gc0bJE8ffH1L07Skgw+Psj/P3AbAYhUCIjCLr7LmIWLcDY1ruVN9u2bcuwYcOqXMXesWOHyy2X5c6sNuvKwYMHqxveOVasWFFxtlLX9WqdqfPWhxlJks4fcq5v/Dzt017sZkdcTSQnJ7NgwYJzEmlw7NSaO3cue/furXhNCEFkZGRFVw2DwYDBYEAIgaqqtG7dmkmTJtG2bVuvxtk0qCkvD3qVMHPlh9ACwYHsA3y792u38+ngpkPcrpIDLDm2uFaxAixNWsJXe6ajo6Ohoel2j3pv67p2zvcoSVL1+bSq0TPPPIOqqsycObPSxJyTk8PUqVMpLi6mTZs2TJkyxYdRSlURiuIowOZ2oED1oM91ddjT0sh//wOXY/TCQk7dehu6zdE6o+jX30gfO46iH2ehZ2aiFxU7iq3pOv7XXkvotKcqVsy9qbi4mDVr1lRZ7EXTNBYvXux267Yn1c2FELX+8JOXl8fhw4dr1FosLCyMiIiIWt1fkqTzk5zrGzdPq5x7+yGsruusW7fO7Zy0atWqii3yOTk5zJ49my1btpCfn4/NZsNms6HrOpGRkQwbNowYL38mKffBtvfIs+RW/h7KVpTnHprDwkTnRQYBjKqRJgHuP4dUtcpeHbquM3PfjJp9LTpDmw2r1f0lSfJxAt6jRw/ee+89dF1n6tSptGzZkn79+tG0aVMWLlxIVFQUP/30U0XlTan2dJsNLTcX3Qtn7QJvucWDG+oEXFP7ll5nKv7lV+f9yM+gpaZSsmgxtuRksv9xv6MI25nfd9k1Cj/4kPTLJmLds9fJlWpu37592Gyu+2e6OjdXvgqtqs4ro5YLCgqqdnxnOnbsWI2/9uKLL/ZZoT1Jkho2OdfXP13TsBTlY7daan0tZ8XzajrOU9nZ2W7PnoPjAfTu3bvRdZ3FixdTUlJSZdKenp7OjBkzvNb/+0wHsw+wJ2u3y1Xk2Qd/dPl+qb2UuMA4l+fABYJo/9oVjztRcJy0opp1LpmUcAVR/rU76iZJkg/PgJe799576dKlC2+++Sbr1q1jx44dxMfHM2HCBJ588kl5JsxLbImJ5L/7PkVz5oDFgggIIODaawi+7++oNezhHHj7bRT+NAe7i63PfpdfhrFXzxpGXTV7Roaj97ibxBZVxfLXX1h27HCbsFu3biXj8olEzf0Jk4dbvj1x7Ngxt73AExMTGTx4MOA4g3306FFOnTpFRkYGp06dwmJx/wFK13Xat29fq1htNltFn1dPBQQEMHjwYFq0aFGre0uSdH6Tc339sJUUse/3LzmwcAaleadACOJ7D6fLFXcT1b5nja4ZHR1N586d2bNnj9MxQUFBdO7cuYZRV83TXV26rpOSkkJKSorbHWUlJSUsWbKEgQMHui2CWh2b0za77QWeXpROamEK8UFN0XWdnZk72JmxkyO5hzmWl0h6cbrb++jojG11aa1iLbV7dqTgTCbFxJXtruK6jjfU6t6SJDn4PAEHGDJkCEOGDPF1GOct6969ZEy+ylF4rGwFWC8qovDrbyj+/Q+if/0ZQw0SKCUwkJhffybnqWkUz/35nKJmgVOnEjrtX15fGVWbNPGspZgQoCiUrF3n0Yq5brWS/chjNFnkeptYdXhS1bd8e/qxY8dYvny5Rwn32bp160ZYWFi1v+5MERERbpNvIQTDhw/HZrMRHBxMfHy87M8tSZJH5Fxft6wlhSx7/layj+493XNa10nZupKUrSsY/NB/adbvkhpde9CgQQQHB/PXX3+dM6/Fx8czYsSISj3fvSEgIMDjsUII0qpRb2bdunW0adOmWvdwxabZ3FYwLx+XUpjCy+tfICk/qVr3UIRCq5BWjGpRs3+G5WID4jAIAzbd9SLGTZ1uIcwcRoAxgN4xfQgweudnJUlSA0nApbqj6zpZ9z9QKfmuYLejZWWR8/iTRM34rkbXV0JCiHj3f2ivvkLJypXYE4+htmyB36BBKLVMCJ3xv2ISuc+/4L4Cu82GlpODzdM2aHY7tt27sezahclLT8ZjY2PJyspy2Qs8JiaG1NRUFi1aVO3z12azmR49etCjR49ax9q8eXMCAgIoKipyGmvbtm1p165dre8lSZIkedeeuZ+QnXhG8l1G1+yAYN27j3HFJ6sw+gVW+9pCCHr06EG3bt1IS0sjPT0dPz8/YmNjPT4jXl3h4eFERUWRmem66rYQgpCQEHadUXjVEwcOHKBnz561iPC0duHtXPbwBvA3+BNkDObhFQ+QXVq9tp2qUBnWbDh3db8Hs6F2DzqCTEEMaz6c5ceXVbliLxCEmkO5qt3VqIr742+SJFWfTMDPc9bt27G52DaG3U7pypXYkpJqtApeTgkKIqCs0m1dU6OiCH74IfLffMtFQArCbKZoxsxqX9925KjXEvDOnTu7PePdtWtXNm/eXK3r9u7dm/j4eJo0aeLR+XBPKIrCqFGjmDdvHpqmVXoYIIQgKCiIiy++2Cv3kiRJkrxHs1k5uHgmutPdXjq20mKOrfmDhFE1r8uiKApxcXHE1fDoWnUNGDCA3377ze24mtQwyc3NdT/IQ32b9CPSL4rskiw0zv1noKBwaavxrEpeQVZJltt2X+BY8e4T05cJbS6jbVgCoWbvPeiY2uV2dp/aTXpRWqUkXBEKqlB5pO9jMvmWpDok946e56z79nk4bn8dR+Jdwf+8n5DnnwOjscr3RXAweg2rgivBtStmdqbw8HAGDhzoiOmMrfjlv+/ZsyfR0dEkJyd7vPothEAIQXx8vNeS73JxcXFcccUVtG7duiJGo9FI165dmTx5stvtena7nZKSkiqrvkuSJEl1ozgnE2thnssxQjWQm1T7dpX1KS4ujssuu8zp3FPduiVn8mbRP1VR+ddFT2E2mFHE6Y/Wouz/2oW354aON/DniT89Sr4BNF0j15JL7yZ9vJp8A4SaQ3lr2DtMansFAQbHz1YRCgPjBvHWsHfoHu16V51dt5Nvycdqt3o1Lkm6UMgV8POc8PBMlqfjGgohBMF33kHgTTdS+PXXlCxYiD0jEzUmGv/LL6fgyy+x5+W536Z+9nVDQzCXJcze0rVrVyIiItixYwfJyckANGnShK5du9KqVasq+5u64+3E+0yRkZFccskl2O12rFYrJpPJ7TnvrKwstm7dypEjR9B1HaPRSIcOHejVq5fsDy5JklTHDCZP5nAd1eS+z3RDEx8fz4033khiYiIHDhwgJycHo9FIs2bNKCkpYf/+/dVOwnVd93ov8Hbh7fnviHf59fAv/Hn8T0psxTQJbMK41hO4tNU4TKqJQkv15ntP+oLXVIgphNu63sEtXaZSZC3CT/XDqFa9qFGuwJLPTwdnsyBxPoXWQgSCi+MGcE2Ha2kbllBnsUrS+UYm4Oc589BhjlViq/OnlCIkBHP/fvUYlfcofn4E3303wXffXfGaruvkTnu62sk3QMgDDyDM3p/w4uPjiY+Pr/I9f39/DAaD23Zl5XRdp1WrVl6MrmqqqnqU6KelpfH7779X2rZutVrZvXs3iYmJXHHFFV4rdCNJkiSdyxwSTmS7Hpw6tBOcVOLW7Xaa9h1Vz5F5hxCC1q1b07p160qvz5s3r9rJd/kOsujo2rXzqkpsYBx3d7+Xu7vfW+X7zYKbk16c7rJaejmBYEDcAG+HeA5VqASbgt2Oy7fk89jKh0kpTKmIX0dnQ+p6NqZu5NkBz9EzplddhytJ5wW5Bf08p0aEE3jLzY6K4E4E/+1ej1fArYcOk/PEk6R068HJdh1Iv3wiRXPmujh3Vv+EENVPohWF4EceJvCuO+smKKCgoICkpCSSk5MrJduqqtKhQwePqsULIWjZsmWtK557i67rLF269Jwz4+XvFRYWsnbt2kqvW61WioqK5DZ1SZIkL+py5b1Ok2+hqER16O1xKzJLYR67537Mr/8YzY839+LXf4xm99xPsLjZ5l7fDIbqryM1b96c0aNHe71DS7kiaxFb07eyOe0vsksq9zEf13q8R8m3IhRCzKGMaNFwHph8s+erSsl3OU3X0HQ7b/31Blbt9GKPTbORXZJFia2kvkOVpAZProBfAEKfnoaWk0PxT3Mc/bPL2e0E3n4bQf93n0fXKVm1mlO33Oqopl5WUd26bTvZ/7if4oWLiPjgPUQdbo2uDr8J4yn++Re37cqU2CYE3nwzgTfdiBoVVSexFBQUsHr1apKSTrccMRqN9OjRg169eiGEoE+fPiQlJVFQUFDl0/zyc25xcXGMGDGiTuKsieTkZJdb6HVd5+jRoxQXF1NYWMjmzZtJSkpC13UMBgMdOnSgd+/ecpu6JElSLTXtPZx+dz3PX5+/gK7rjgRTCHS7jYi2XRn66HseJZ3F2eksfuZGCjNOViT0hekn2PHDfzm8bDajX/wO/zDvrx7XROvWrUlMTHQ7zmAw0LZtW7p160ZERESdxGLVrHyz5yvmHf0Di93RTlQRCoPiB3Nvj78TbAqmT5O+DG46hDXJq12eBQ8zh/H8wBcJNFa/Yn1dKLYVszRpidOHBzo6eZY8NqSsp2tUN2bt/4HFxxZRYi9BIOgX25/rOl5PQpjsoiJJAEKvafWKBigvL4/Q0FByc3MJCQnxdTgNjnXPXop++slxVjouloApUzAmeHYGSissJLV3X/SiQtCq+FdGCEJffIGg26Z6N+gasu7eQ/qEy8BmO3cruhCI0FAip3+JuV/fOo2juLiYOXPmUFRUVGVi3alTp4q+uMXFxWzcuJGDBw9WrA77+fkRFhZGREQEbdu2JTY2ts6e2tfEjh072LBhg9stgAMGDKgYd3Z19cDAQLlNXTqvybnJ++TP1LninAyO/vkzucmHMfoF0OyiMTTpcpHHc8efr95N6o61Ze3LKhOKSlyPwQx74iNvh10jNpuNWbNmuXx4ffHFF9OlSxe3tUxqQ9d1Xtn4EhtTNpyTWCtCoWlQM94a9g7+Bn/sup25B3/il8M/k1vqqMTup/oRFxhP69DW9IzpxaD4wW7PY9enxNxE7l/uerFGFSqXtbmcdSfXklmSeU51dYHCcwOfp0d0zzqOVpJ8ozrzkkzAJY8UfvsdOY8/4XyAEKgtWtBkzapKk7yu6+iFhQhVRdTzKmfJsuVk3XOvoxp6+cq8zYahXQKR332LoWnTOo9h/fr17Ny502WCevXVV1d6Im+xWCgoKMBoNBIUFNSgEu6z7dmzh9WrV7sdZzabKS0trfK98v7iI0eO9HZ4ktQgyLnJ++TPtG7kpybx+z/HuhkluPzdRQTFNKv0qt1Sima3YfALqNd5Kz8/n3nz5pGbm4uiKBUPeo1GI6NHj6ZZs2buL1JL29K38szaaU7fFwhu63oHVyRMrnjNrtlJKTyJjk5cYDwGpeFuSk0pTOGexa6P6ClCoWVwK47lJ7rsL/7F2K8a9PcqSTVVnXlJ/hcgecSydSsYDI4V5aroOvZjx9Dz8hChoeh2O4XffEPBp59jL9seZurfj+D77sPvkvo50+Q3cgSxWzdTPGculp07EUYjfqNGYR4+rF62yuu6zr59+1wm30II9u/fz4ABpwutmEwmj7fIFRQUsH//fnJzczGZTPW+St7Cg97xrpJvcPycDh8+zMCBA/FrZNX4JUmSzidZR3Z5MEon6/CuigQ8Zfsa9vzyKem7NwAQGN2U9uNupv3YG1AMdb+KGxwczJQpUzh+/DjHjx9H0zSio6NJSEjA6KRVqbctSVqMIhSXW7QXJs6vlICrikqz4OYeXb/YVsyKE3+y99ReFKHQI7pHva6SxwbE0iyoGckFyU63zmu6xrG8xCr7oIPjZ5BTmsOm1I0MiPdutxlJamxkAi55RvXwXxWDAd1uJ+tvf6dk3vxKb1k2b+HUrVMJfe5Zguqw2NmZlKAgAm+5GV+cotI0DYvF4nKMrus1akMGsG3bNjZu3FjptT179hAXF8fYsWO92uPUmaCgINq3b8/BgwedPmiIjY2tOPftjK7r5OXlyQRckiTJhxQP5/ryh9gHF8/kr8+eRyinH2oXZpxk69evk7ZzHUMefc/ja9aGoii0bNmSli1b1vm9qpJe5L6y+aniUzW69q7Mnbyw7rmK89QAS5MW8+XuL3h+wIu0Cm1Vo+tWhxCCaztez9t/vVnl+4pQ6BTRmd2nXD/AUYVKUn4SA5AJuHRhk1XQJY/4DR/mfPUbQFEw9u6FEhhI0U9zKPljnuPs9ZlJV1lBtNznX8B25GgdR+x7iqK4rdAqhKhRAbI1a9ack3yXS01NZenSpdW+Zk0NHjy44kOPEKLiF0Dv3r2Ji4vzqE1MTarZSpIkSd4T3akvwk3CLFQDMZ36Uph5kr8+fxHgrPPiOqBzcusKDi+bXXfBNiDh5nAU4fojdYg5tNrX3Zz2F0+tfpISu6OSuF72fwA5JdlMW/MkBZb86gdcA8OaDee2LncgECgoKEJFFY4HL92jenB71zvcXkPTNfzqsLe5JDUWMgGXPOI3ZjRq8+aVq6ifSdMI/vvfACj88ktwVexEUSj89ts6iLJhEULQvn17l9vBdV2nffv21brugQMH2L17t8trHj9+nKysLKdjvMlgMDBmzBgmTZpEs2bN8Pf3x2w2ExcXR0REhEfb1ENCQggPD6+HaCVJkiRn/EIiaDN8MjhLJoVC2xFXYQ4O5/Cy2a46nAKCA/O/qYswG5yRLUa5XAFXUBjdcky1rnki/wQvr3/R6ZZvHZ18Sz5Lk5ZU67q1MbndlXwxdjqjW44mxj+aAGMgLUNa0adJX2ID44gNjHP59To6F9VDb3NJaujkkpPkEWEwEPndt2Reex1aSoqjr7iuOxJyu52QJx7Hf9w4AKz79oOrHs92O9Y9e+opct/q0aMHhw8fxmKxVLkK3KpVK6KjPW/nYrfbz+mrXRUhBMeOHauzdisAOTk57Nmzh5MnTwJQUlJCUVFRRcu01NRUUlJSiIuLo23bthw5csTpSnjPnj0bdLE5SZKkC0Xvqf+iMOMkqTvWIBQVXbNX/G9c94H0vvVJAHKOHUB3Ndejk5d8FF3TEHVYgbwh6Bvbj84RndmXve+cRFwRChF+EYxrPb5a1/x279fYdBc7D3EktGtPrmXSGWfLvS3fks+SY4tYe3INxWU9vZPyj6EKFbtuJ9+Sxxe7PuOng7OY1HYyX+350um1BsQNIDYwts5ilaTGQibgkseMbdvQZOWfFP/8C8Xz56MXFWHs3JnAm27E2KFDxThhNqO7OvssBML/wmg5FRwczMSJE1m2bBmnTp0+/yWEoGPHjgwcOLBaiWdSUpLbc+XlbK6ODNTSvn37WLlyZUWyfabyP5f/b2pqKu3ataNly5ZO+7Xu2LGDFi1ayFZkkiRJPmYw+TH8yU9I3bGWI3/OoSgrjYCIJrQZfiWx3QdWJNOqyYxQFJdJuGIw4maZ/LygCpVnBjzP+9veZXXyqkqr1h3DO/FQ30cIMXlerb/AUsD6lHUejS21Oy9yWltHcg7z9JqnKLAWnLMSb9dPHzso7wM+/+gf3Nr5Nr7eM73Klfst6VvYlbmTrlHd6ixmSWoMZAIuVYsSEEDgDdcTeMP1Tsf4jR9H8eyfKs58n0PX8bu0eluxGgO73c6xY8fIzMxEVVVatGhBdHQ04eHhXHXVVWRkZHDq1ClUVa3Yql1dhYWFHo3Tdb3OVr8zMjJYuXJlxX08ieXQoUN0797d6Zjc3FyWLFnCxIkTvRanJEmSVDNCUYjrOZi4noOdjmnWdyRJa+e5uIZKs36jzrvdTbqusz97H1vStmDXbbQP70DfJv0IMAbwaL/HmdrldnZkbseu2ekQ0YGWIa2qfY+c0hy3Rd3A0dqrTWjbGnwX7lnsFp5b9wyFtkKn2+DPpOka6cXpIJyPtdgtvLDuOT4d8wWhNTgTL0nnC5mAS14XfNedFM+Z69iGfnaCpqqoTZoQ4IVEy3roMMU//YQ9I8NxzauvwtC6da2vWxMpKSksWbKE4uLiij6kmzdvJi4ujtGjR+Pn50d0dHS1tptXxdOk3WQy0apVq1rdy5mdO3dWufLtiqZpbs+tp6amkpmZSVRUlDfClCRJkupQs4tGE9SkOYUZJ88qwkbFqnenie4Lc7lTWpDD0RW/kHfiEKrZn+b9LyG6Uz+fJPZZJVm8suFFDmQfqChAZtftRPpF8q+LptEuvD3RAdGManFJre4TYgr2aJyOzvg21dva7qk1yavJKc2p1teoQmVR4iIUoVRaIS+no1NqL2XxsYVc3f4aL0UqSY3P+X0oR/IJY6dORH7xOcLf3zEJqyoYHBOV2jSeqB9nOt5zwZ6VReGMmeR/9JFju/sZ2651u53sJ/9F+rDh5L//AUWzZpP/7nukDR5KzjPPujmT5n3Z2dnMmzePkhLH2ShN0yptv54/f361klVXWrRo4VG18EsuuQS1jnqdnzhxokbfj9Vqdfm+EIITJ07UNCxJkiSpHqkGEyOmfUlQE0cva6GqjnZkQqAaTQx+6D9EtOni8hp2m4XjGxax97cvOLxsNqX52ZXeT1z1Gz/fM4yt37zOkRU/c3DR9yx9/laWPHPjOWPrmlWz8vSapziUc8gRu26vSDKzS7KZtuZfpBWmeeVeIeZQ+sT0dVtZfVLbySSEtfPKPc+2I3N7xUOG6sgoTq8y+S6no7M1fWttQpOkRk+ugEsu6cXF2NPSEAEBqDExHn+d38gRxG7eRNGcOVi3bQejEb/hw/EbMxphNDq/n6aR9/obFHz8CVitFUXelPBwwt58Hf9x48h/622Kvi6rrHrWNvfCz79AiYgg5IF/1uj7rYnt27dXSrrPpOs6GRkZHD9+3KNq4O4YjUb69+/vshDbwIEDadasWa3v5Yy3HibU97UlSZKkqumaRtGpFHQdAqJiURTPEq+gmKaMf/s3Tm5ZwcmtK7BbLUS07kzroZMwBbneYnx8wyI2fvIsloKciiJvmz57nk4T76D7NfeTtmcj695/vGInnW4/Xdfk1KEdrHzjPi554bt6Wwlfd3Itx/OTqnxPQ6PUXspvR37hzm53e+V+N3W+hR0rtzs6unLuwsJFsRdzR7c7vXKvqmi67tHW8zPZdTsmYfJonCRdyGQCfoHSsrMp/HEWpWvXgq5jvugiAq67FjUysuL9vLffoWjmD+jFxQAYe/ci5KEH8RsxwqN7KCEhBE2dWq248l59jYIPPjz9QlmCreXkkHXXPUR8+gkFn3zq8hoFH3xI0D13o3iwXduekYFl6zYQAlOfPqgR1WuFpes6hw8fdpk4CiE4cuSIVxJwgK5duyKEYNOmTZUKsgUEBDB48OA623peLi4ujmPHjnmcLAshaNWqFSdOnHC5Cq7rOk2aNPFWmJIkSRc8zWblxKalJK1fiLU4n5D4NiRccg2hzRIAR+K9f/7X7Pt9OsVZjtVb/4gmdLxsKh3G3eJR9XJFNdCs3yia9RvlcVwp21az+t8PUJ7flW9h1+029sz9GF3TOHVoh9PjTrpmJ/PAVjL2/kVM535u71dqL2XPqT2U2kpoHtKCpkFNPY613OrkVSgoaFUkw+A4A/3n8T+9loC3DWvLi4Ne4b9b3iGlMKXidZNi4sp2V3NdR+e1eLyhU2Qnlh9f6vF4BYVgUzBtwtqyPWOb0zPsilDoEul6Z4Qkne9kAu6GLTGRop/mYE9LR42JJuCqK312zthbSteu49TU29CLiiqeLJcu/5O8d/5N5GefYOrZk/TLJ2FPSqq0wmzdtp1TN99K2DtvE3jNFK/HZc/IcKx8V0XXQQhyX3wJvWyrtzN6YSGWdevxG+n8QYGWm0vOU09T/OsvYC+bJIxGAqZcTegLz3uUvDvC0rE7KzZ3xhhPK5d7qkuXLnTo0IETJ05QUlJCUFAQ8fHxKNVo9aLrOidOnODgwYMUFRURFBREhw4diI2Ndbmi0K1bN6fVzKsSHh7O0KFD2bp1Kzt37qzyw5QQgtDQUOLiXPcQlSRJqguWonwSV/1KbtJBVLMfzfqO9Nk5Y28pzk5n2Ut3kHfiEEIo6LpG2s71HJj/DV2u+htdr/4/NnzwJImrfq38dVlpbP36dbKO7mHAfa/Xyc9g+8x3yn5X9YPcfb9/ge5mbhWqyolNS1wm4LquM/vgLH46MIsiW1HF610ju/F/vf5BfDUS8QJLgdPku1yJrdjj63mic2RnPrrkU/ac2k1yQTIBxgB6x/QhwFi9jiFJecdYmLiApPwkAgwBDIwfxMD4QRhV5zsShzUbzvRdX1BsK3a7Eq4IBbNq5ukBz1JoLWRr+hYXowVjW42rVvySdL6RCbgTuqaR+8KLFH72OShKRd/r/H//h8DbphL6wvONsq+lPSWFU7fcil5aWrlAmqZBaSmnbr+TgEnnJt8VY4Ccx5/Af8xolLAwr8ZWPG++6/7huo792DGPrlW+au/svcxrrsO6d+/p5BvAaqVo5g/Yjh4lauYMhAdnrRVFITAw0GV18vLk0tsMBkONV7utViuLFi0iOTm5YoVBCMGBAwdo06YNI0eOdJrMx8XF0b9/fzZu3Fjl6kRgYCB2u53AwEA6duxIhw4dMBgM9O3bl4yMDFJSUiqNF0Lg5+fHmDFjGvWHXUmSGqek9QtZ//7j2K0WxxlmdPb/8RWR7Xow7LEPMYdUb2dUQ6DrOivfuI/8k0fL/uyY68pXmnf/9CG2kqJzku8zHVv1Gy0Hjqdp7+FejS0/9RjZR/e6HONZLReBrdT1A/kvd3/Oz4fmnvP6nqzdPLryEf49/L/EBHh2vK5ZcHP2Zu1xun1aIIgN9P5DZCEEXaK60iWqa42+fsa+75mx7zsUoaDpGgLBupS1zNj/PS8NeoUo/6oLn/ob/Jl28bM8v+4ZrJq1YkVbINDRifSLxKbZ8DP4MbjpUMa3nkB0gKPQ7HUdbmDm/u8r7gmOAm06Og/3ecTjn7kkna9kAu5E/v/epfDTzxx/OPuc8ZfTUcLCCHnkYR9EVjuF337nSL6rmtx0HWw2iubOdd5CDByJ6tyfCbptqldj07KyHGe+vdC/2tDeeVGSop/mYN21y0kQGpZ16ylZsBD/yyZ4dK8uXbqwceNGp+/ruk7Hjh09ulZ9Wb16NSdPngTO7dt95MgRQkJC6N+/v9Ov79mzJ7GxsezatYvU1FSEEDRv3pyuXbs6bX9mMBgYP348Bw8eZM+ePeTn52MymWjXrh2dO3eWPcAlSap3Gfu2sOY/D5U9kNYrnTPOOryLP1+7hzEv/9DoHg5m7t9C1hEn8xwAgsNLZ1Wcva5yhKJyaNFMryfgpfk5bscIRUFRjdgtzhNsXbMT2jzB6fsphSlVJt/g2C5eaC3gx/0z+b9e97uNB2Bsq7EsSHTeds1Rkdyzzw315c/jy5mx7zuAikS4fDU7tTCVF9c9x39GvOv03++uUV15b+SHzDv6B2tPrqbUbqFNaBsmtLmMvk2c7xC5odONdInqwm+Hf2Vv1l5UodC3ST8ubzuR1qFt6uA7laTGRSbgVdCKiiqfQ65CwUcfE/S3e1ECA+spKu8oXrzY9Sqzprl+H8BgwHb4sHcDAwwtWrhPvoXA0LEjtgMHqn5IoKqY+vTG2M55Al74/fcVOxqqpKoUzpjhcQLetWtXjhw5wqlTp6rcXt2nT586WQGvqcLCQg4dOuTyDPeuXbvo1asXRhcF82JjY4mNja3WvVVVpWPHjg3ugYQkSRem3T9/XLaT59x5T9fsZB3eSdqu9cR2G+CD6Gru5LZVCNVQ6YFCZTq2kiIn75WN0Ozknjjk9dgCo+IAgbPt5+DodhLbaxgnt/zpdDVcUY20HuK8penypKWVVmDPpukay48v454ef8OoOJ/ryrUNS+CKhMlVJvUCQefILoxuMcbtdeqLruvMOvBjxYr12TTdztG8o+zM3EH36B5Or9MksAm3db2d27reXq3794juSY/ontUNW5IuCI1vD3U9sKxdh+5iSzE4tjGXrl5dTxF5UakXziJrGqIOHjz4jR/n+rqqinnkSCLe+x8iIMCxWn7W+yI4mLA333R5H/vJFOfJN4Ddjj35pMdxGwwGLr/8crp27VopYQ0NDWX48OH06dPH42vVh+TkZLcF1Gw2G2lp3mmnIkmS1BDZLaWkbF3ldAUYQKgGTmxcXI9ReYdmc9320VPGgCCvXOdM/uExxPUaUrbdv2oG/0D63/0C4a06Ic5qxVXe6uyiv73sstL6qZJTCFzvXLBqVgqtrj/vnem2Lnfwtx730STgdMHQQGMgV7WfwnMDX3B5prq+5ZRmczw/yeX5bVWobE7bXI9RSZIEcgW8SlqR66fC5XQPxzUkpj59sB096nyLuaoiwsLQs7Odr4Tb7R6vDleH4u9P2Msvkf3Ag+euUKsqwt+f0GemYUxIIGb+H+T9712K5/7saFdmMhFw5ZUE//MfjpV0F9QmMWiZmc6TcEVBqWY1bqPRyIABA+jXrx/5+fmoqkpwcHCD3Laoedgn3dNxkiRJjZHdWoqrVVgAdB1bqXcLa9WHiDZdXKx+O6gmP8fPwNlcKAQtB11WB9FBr5seY9G+67CXFp/1AMSxMt739qfxC41k1LNfs+fXzzi0aGZF3++YLhfRZfI9NOni/JgUQJg5zG3xMIMwEGjwfEFBCMG41uMZ2+pS0orSsGs2mgTENqjEu5xN8+w4n6fjJEnyHrkCXgWji/PDlcd1qONIvC9w6i2uz3fb7QT/8x+O31eVPCoK5lEjMXXrVifxBUy5mojPPsHQ5owzQkJgHjyY6N9/xZjgOO9laN2aiH+/Q/z+vcRu30r8/r2Ev/2m2+QbIOC661wP0DQCr7umRvEbDAbCw8MJCQlpkMk3QHR0tNsxQgiioqouzCJJknQ+MPoH4Rca6XKMrmsVLbsak2b9L8EcEgHCycc8oZAw5jr8QiKqXIkWioo5JIK2I6+qk/hCm7VlzEszaNL14kqvh8S3Zsgj79J66CQADH4BdL/mfq74ZBVXfrqWq7/6i5HTPnebfAOMaD7S6fZzcFTuHtJsaI2SZ0UoxAXG0Sy4eYNMvgEi/CIJNbs+/mbX7bQPb19PEUmSVE4m4FUwduyIsU/vc7c4l1NVjN27Y+zSuX4D8wJT9+6ETHvK8Yczv7+y3wc//BDBd9xBxAfvI8pbcRmNFe/7jRxJxIcf1GmM/uPGEbNiOTFLFhE1ZzZNNqwn6vtvqzzXLcxm1KgohMnk8fUDrpmCoW3bqv/5lv2z9Z/QsAqpeFNkZCQxMTFOHxCU9+2WRdEkSTqfCUWh3dgbnCepOBLR1sOuqL+gvEQ1mBjy8P9QjaazEmwBCKI79aHHtQ8w6tmvCYx2tOISqgGhOjZGBkTFM+qZrzAH110F+NBmCYx46jMmvr+MUc99w7g3f2H8O7/TrN8l54xVFBVzSDhGP89Xq5sFN2dMy7FVvudom+XHtR3cPJBvxFRFZULry51uw1dQCDGFMDB+UD1HJkmS0N0dBm1E8vLyCA0NJTc3l5CQkFpdy3rgABmTJjvOgp+5Yly2FTr6l7kYG3EhqZKVKyn45FNK164DXcfcvz9Bd92J3yWjKsZohYUU//IrtoMHEYGB+I8fj7FzJx9G7T32zEyyH3qY0mXLK22/M150EWEvvYCpc2dsNhs2mw2TyVSt/tqNQV5eHr/88gslJSWVzoMLIQgJCWHixIn4e9gLXZIk17w5N0kO3vqZ2kqLWfbCVLIO76pUiM3RN1vnontfos2IK70Rsk/knTzK/nlfcWzNPGylxQTHtqDdmBtoO2oKqtHx4FrXNFK2ryJ9zyYAojv1Ja7nEBQXZ7QbC7tu59s9X/Pr4V+waqfPxccGxHJz51sY3HSooyK6rRB/1b/BrmbXlNVu5YX1z7E9Y1ulYmyqUFEVlecHvFjj9maSJFVWnXlJJuAu2BITyfvv/06fMzYa8Z80kZAH/omhdevaB3yesO7eQ8FXX2PZtAlhMuJ3ySUE3nQjapz3+2F6my0xkfwPP6L4j3mOc+9ATnw8hydNJDXGsVXbbDbTqVMnevTogdls9mW4XlVcXMyuXbvYv38/JSUlBAQE0KlTJ7p06YKpGjsKJElyTSbg3ufNn6mtpIi9v37OgYXfYynIARxJaJfJ9xLXQ64OlivOyeDw0lmc2LQMu7WEyITutBtzA5FtG34CV2ApYEHifBYfW0hKYUrF64GGQCyaBatmRRUqg5sOYUr7a2kR4v44W2Nh02wsObaYP47+TnLBCcyqmSFNhzEp4QqaBjX1dXiSdN6QCXgtJ2S9uJjiefOxHTmCCA7G75JRKMHBKCEhp7dlNxC6rqOXlCDMZoQPVmkLPvuc3Gefc2znLt8poCgIk4nIr7/CPGhgvccEoFut2FNSEEYjSmys0+3WBdOnk/vU0xV/Tk9I4K+y89/6GVvUhRCEhoYyadKk8yoJlySp7skE3Pu88TPVdZ20XevJ3L8FhEJMl34ENWmJweyHKSDYyxHXnt1SilBVFLX+6+dmHtjK8pfvchSkK9spUN5DvPt1D9Bl8j31HhM4/hkWZ6ej2awERDRBMVS9gn045xCPr3wUm2ZDw/W5cKNi5KVBr9AhovHucpQkqf7JBLwWE3LxH/PIfvgR9Px8MBgclcB1nYBrphD22qvVOmtcl+wZGRR8+BGF389Az89H+PkRMOVqgu77O4bmzeslhtK168ic4qRYmSIQfv402bAONSKiXuIB0EtKyH/3PQqmf4WekwOAoV0Cwf/4BwFXVd5GqOXmktKzN1gcrdnsqsqShx/EZjZDFQ8zhBB07tyZQYPkiogkSZ6TCbj31fZnmnfyKKvevI+8k0crzkjrmp3w1p0Z8sh7Zb2qfU+zWTm4eCYH5n9DQdpxEIK4HoPpPOlOYjq7L0TmDdaiAn65byTW4sKK5PtsQx//kKa9h9dLPOUSV/3G7p8/Ju/EYQBMQaG0G3M9XSbfi2qq/KD8iVWPse/UXpfJdzkFhZjAJnx8yacNtpiqJEkNT3XmpfPrYGstlaxaTdY996IXFDhesNkqEvCiH2eR/fgTXrmP/WQK+e+9T84zz5L/7nvYkpOr/fXpl46n4LPPHQ8KcCSehd/PIH3MpVj37/dKnO4UfPKJ80J1mmNlvmjmD/USC4BeWkrmjTeR/793K5JvANuhw2Tf/0/y3vl3pfHFv/7mOFpQJqVzZ2z+/lUm3+B40r5//35sNtmyQ5IkqbEqycti6XM3k5+aBDgS7/JWWDnH9rP0+VuxldS+zaitpIjDy2azeforbPv+HTIPbqc6ax6a3caqt/7BlumvUpB2wvGirpO6Yy1Ln5/K0RU/1zpGTySu+hVrUYHT5FsoKvt++7JeYim3a/b7rHvvMfKSj1S8ZinIZffcT1j+yp3YrZaK11MLU9lzardHyTeAhkZqYQo7M3d4PW5JkiSQCXgl+W+9dW7/6XK6TvGs2dgSE2t8fV3XyX3tdVIvupi8116ncPpX5L3+BmkXDSD3pZfRPey7nP3EE2gZGee2E7Pb0QsLyfq/+6s1yddU6Zq1rluaaRqlq9fUeRzlCr/7HsuGjef2Ly/7WeS//Q7WgwcrXrYlJ4Ph9AOEgphohKvvB7DZbBSUP6CRJEmSGp1Di3+gJC/7rP7TDrpmpzD9OImrfqvVPZI3L2fuPUPZ+PHTHFj4PXt/+5zF065j2QtTKS07Z+5JnCe3rsTRq/z0nO6IW2fDR9Mozk6vVZyeSNu9ESeFtCviSd/7V7187gDISz7Czlnvld38rHvqGhn7NnN4yY8VL2UWZ1T7HgJBUt6x2oQpSZLklEzAy9jT0rD8tfnc5O1MikLxb7/X+B4FH3xIwbvvVayqY7c7/lfXKfjwI/L/+z+317AlJzsqdztLFO12bHv2YN2+vcZxesyTydZFD05vK5z+lesBqkrhd9+f/mNEBNhPx6eesRruisFQ/+fvJEmSJO9IXP2b67lJCMeYGso8uJ2Vb/4ftpJCxwuaveKzRfrev1j5+t89SlYPLPjWdeKr6xxZPqfGcXrOk8Ra9+wzgRccWvpjlb3Lz3Rg4em5PsRU/SMKOjomVdZ7kSSpbsgEvIyWl+d+kKKglW35ri69uJi8f//H5Zj89z9AK3K97c22b79Hk5x1z97qhFcjpv79nW9BB1AUzBdfXOdxlLMlJrr+2djt2A4dqvij/+WXVXq7yb79lQqvVSUiIoLAQM/7kEqSJEkNi7XQzXyv61jcjXFh+8z/Ok/wdY3MA1srWn45o9ms5KckupnvdbKP1f2Rs6gOvV0PUBSi2veqt0KweclHq9y9UEHXKUg7vXrdPLgFLYJbOu2HXRVFKPSN7VebMCVJkpySCXgZNTYWjG76P9psGFq2rNH1S5avgOJi14OKiyldtcrlEOFhBW5Px9VG0N13Ol+JFwIMBgKuv67O46i4ZUCA6wGKghJ8urKtGhdH0F13OmIFQtLTiT5w0OUuiJ49e3L06FEWLFjA3LlzWbJkCUlJSZw8eZKkpCRyc3O98r2cLTs7m6SkJNLT0+ttm58kSdL5KDiuFUI4//gjFJXguFY1urbdaiF91zq345LWzXf5vlBUt6u8QigVvbzrUpthV2Aw+VXMlefQNDpOuLXO4yhn9A90m+yr5tMda4QQ3Nb1do+vLxBc0nIMGUXp/HfLv3l4xYM8s2YaixIXsj9rH5tSN7I/ax9aHezwyy7JZmv6FrZnbKfEVuL160uS1DDIvbRllOBg/CdNonjuXKdJpTCb8Z80sUbXL1250qNxWq7rp+6mPr0RwcEVxdeqZDBgHja0OuHViN/w4QQ/8jD5b71duQ2ZqoKiEPHJx6gxMXUeRzn/iRMpmjnT+UMBTcP/ssqr3iHTngKTiYKPPwGLhV5z5rJ5ytWcatvG8az8jA8c/fr1Y+fOnWRkZCCEQNd1MjIyOHLkSKVrxsbGMmTIEMLDw2v9PWVkZLBmzRrS00+f8wsKCuKiiy6ibdu2tb6+JEnShSZh9HVk7Nvs9H1ds5Mw+toaXTsvJdGjcYUZrouvCkUhvvcwTm5Z4XS1V9fsNO07srohVpspKJQhj77Pytf/hma3VcRT3oas08Q7aNZ/dJ3HUa75xWNdPsAQikrLgRMqvdanSV8e7/8kH257n1xL5QflAoFS9kDGrtsZFD8YozDw6MqHUYWKXbcjEGzL2Frp65oENOG2rncwML72nVHyLHl8suMjVievqkjs/VQ/Lm87kRs63oTq5mGMJEmNi0zAzxD6xGOUrlqJlnmqchKnCNB0Ql99BSUoqEbX1go9K9yluEnahL8/QffeQ/6bbzm5gELA9dehRkVVN8QaCXnwAcwDB1Dw5XQsf21GGAz4jRlD0NRbMbRpXS8xlAu6+y6Kfprt2LJ39iq2qmJo2xa/MZU/JAhFIfSJxwm+9x5KFi9By89nfKuW5HbsyJHERCwWC2FhYbRv357Vq1eTmZkJ4HIVOi0tjV9++YXJkycTGhpa4+8nMzOTX3/9Fe2s76WgoIClS5dis9no0KFDja8vSZJ0IWox4FISV/1KyvbVVW7xbjn4MmK7DazRtYvSPetqohjd71LrNPFOkjf/WeV7QlEJjGlKs3pIwAFiuw1g/Du/c3DRDI5vWIxmLSUyoTvtLr2R2K71d9QMoFnfkYQ2SyDvZBVb0YWCohroeNnUc75uYPwg+sdexJa0zaQVpRFiCqFlSCvWpawlvSiNEFMow5sPZ3/2fj7Y5ijyZtcd19erOAefVpTGaxtf4ZG+jzG02bAafz9F1iKeWPkoJwtPVlpVL7GXMPvALFILU3mk72OyJZoknUdkH/Cz2E+mkPvKK45ia2XtpgxduhDy6CP4j76kxrHlvvoaBe+973Zck21bMERHuxyjaxo5056h6KuvHKvNuu5onWWz4TdhPBHv/q9etqA3RKUbNpB1591oWVmOPu4ANhvGHt2J/PIL1CZNanTdvLw8Zs6c6fF4IQRt2rRh1KhRNbofwG+//UZqaqrTZN9oNHLzzTfLonCS1MDJPuDeV9ufqd1mYfdPH3Jg4fcVZ8LNIZF0vOxWOl5+O0oNVxxTd61n+Yu3uR3X57ZptL/0Rrfjjq35g/UfPIlmtwHCsftKsxMc25LhT31OUEzTGsXZ2BVnp7Pyzf8j6/BOhOqYA3W7DXNwGIMf+h8xnWt2flvXde5ZchephSkef02IKYQvL/0ao+LmGKMTsw/8yDd7vq4yyS/32pA36BzZpUbXlySpflRnXpIJuBNaTg725JOI4CAMLVrUOjbL5i1kTJzkcoyhfTuaLF/m8TWt+/dT9OMs7CdPokRFEXDVlZh69qxlpI2fbrFQPH8+1m3bwWTCb9RITP361erp8b59+1jp4TGCckIIbr31Vkym6p/Ry8/PZ8aMGW7HjRw5koSEhGpfX5Kk+iMTcO/z1s/UbrWQn5KIUBSC41qhqLV7oGm3lDL3niFYi5wfExOKwuSPV2MO8eyYUkleFkeWzyHn2D4Uo5mmfYbTtM+IWsfa2Om6Tub+LZzcuhK71UJk26406z+6Vufi04vSuXOR+wcoZ3vqoqe5KK5mOwFuXzCVzBLnrdIUoTKi+Qj+2fvBGl1fkqT6UZ156cL+29sFJSwMJSzMa9cz9u6F6aKLsGza5LTIV8iTT1Tvmh06EPr0NG+Ed14RJhMBkybBJNcPPKrj7G3gntB1neLi4mon4JqmsWaN+/7pQgjZk1ySJKkWVKOJsBbtvXc9k5nOk+5i+4x3qh4gBAmXXOdx8g3gFxJB50l3einC84cQguiOfYju2Mdr19R0F9XVXThVnFmjr1uWtNRl8g2OmNKL6r7fuyRJ9UdWQa8nQggiPvsUY6+ejhcMhopiZagqoS+/iP+YMT6NUXKuSQ23rptrcBRg27ZtJCUluR2n6zr+/v5ux0mSJEn1p9PEO2g/7mbAcVYbRamoaN5iwDh63fq4L8OTXIj2jyHUXP3aLaHmsGp/zd5Te/jvln+7HacIhXBz7Yu6SpLUcMgV8HqkRoQT/cvPWNaspfj339EKizC2SyDg2mtqfDZZqh+RkZHExMRUqkbuihCC5s2b4+fnV6372Gw2duzY4dFYVVVp3bp+C91JkiRJrglFoc/Uf9FuzPUc+XMuRadS8QuNoNWQiUS07uzr8CQXVEXlsjYT+W7vNx5/jb8hoEY9w+cemlPRUcUVTdcY0aJ+iu1JklQ/ZAJez4QQmAcPwjy49m0rpPrVsmVLjxNwRVHo27dvte+RkZGBxWLxaGzv3r1rdL5ckiRJqnsh8a3pecNDvg5DqqZLWoyuVgJ+c+dbMKvV2+2m6zp/pW7yqJd418hu9IrpXa3rS5LUsMkE/AJgT0/HlnQcJTQEQ0KCbGVRQ0ePHvVonNlsZuzYsUTVoBWcp2fNW7ZsSU9ZcE+SJEkqYyspIvfEIYSiEtqiHapBPqCtiWXHl3o0TkHhru73MKHNZTW6j92D8+aRfpE8PeDZij7lkiSdHxrcf9HTpk1DCEerjZdeesnX4TRqtqNHOTX1NlJ79yVz0hWkDx9J+oiRFM+f7+vQGh2LxVLRA9yd4cOHExsbW6P7REREePSApFevXvJBiiRJjZac673HVlrMlq9eZc5dg1j01LUsfPJqfr5nKLt++gDt7D7ZklvrT671aNy41uNrnHwLIWgd2gaB83lcIBjbahz+BlnrRZLONw0qAd+7dy9vvvmmr8M4L9gSE0m/bCIly5Y7+oSXv37oMFl33k3hDz/4MLrGx9OVaYPBQPPmzWt8H39/f9q0aeM0uRZCEBkZSbSbXvGSJEkNlZzrvcdutbD8lTs5sOBb7JaSitctBbns/PE91r37mNszxlJlpXbPjoFd1nZire5zeduJLnt/K0JhTKuxtbqHJEkNU4NJwHVd55577sFoNDJypCw2UVu5r7yKnp8P9rOefpdNxLlPPY1WWOiDyBons9nsUcXxLl26oCi1+89q4MCBhISEnJOECyEwmUyMHDlSrn5LktQoybneuxJX/kLmvi3oVT4k1klaO4+0XevrPa7GLCEsAVWoLse0CmlN06CmtbrPiOYjGdZsOECllXBVqAgED/R+iAi/iFrdQ5KkhqnBJOCff/45q1at4plnnqnVCqIE9qxsShYsODf5PoNeXEzx77/XY1SNmxCCLl26uByjqiq9evWq9b38/f254oor6NOnDwEBAYDjAUDXrl256qqrCA+X7UgkSWqc5FzvXQeX/AAuHsgKReXw0ln1GFHjN77NBLfns6d2ua3W91GEwoN9HuaB3g/RJrQNAgWjYuSiuIt5fehbDGs+vNb3kCSpYWoQRdgyMjJ4/PHH6dy5Mw8++CB33XWXr0Nq1LSUFLC72TJtMGA/5r7XtHRa9+7dOXHiBKmpqZVeL1+NHjlypNeqkpvNZnr37k3v3r3RdV2ueEuS1OjJud77CtNOVDpmdjZds5OfeqweI2r82od34LoONzBz//coQqmoVC4Q6Ohc1uZyr1UlV4TCyBajGNlilJzrJekC0iAS8AcffJCsrCzmzJmD0Wj0dTiNnggLcz9I01A8GSdVMBgMjB8/nt27d7N7924KCgoQQlRUJI+JiamT+8oJWZKk84Gc673PFBSKpTDX+QChYA6R25ir64ZON9IqtBVzD85hf/Y+AFqHtuGKhMkMaza8TuZlOddL0oXD5wn40qVL+e6777jpppsYNmyYr8M5LxiaxmPs3Qvrtu3goniY/+U1q955ITMYDPTo0YMePXpgs9lQFKXWZ74lSZLOd3Kurxuth05k108fODkDDugarYZcXr9BnScGxg9iYPwgrJoVAKMiHxpJkuQdPs0cSkpKuPfeewkNDeWtt96q9teXlpaSl5dX6ZfkEPr4447fVPVEVQgCb70FNS6ufoM6zxgMBpl8S5IkuVHbuR7kfO9MwpjrMQeHI5Rzi4YJRSWkWQItLr7UB5GdP4yKUSbfkiR5lU+zh5deeolDhw7x8ssv06RJk2p//auvvkpoaGjFL1nQ5TTz4EFEfPoxIjTU8YKqOpJxVSXwjtsJfe5Z3wboY1puLgWffU7mtdeRMflKcp57HuvhI74OS5Ik6bxT27ke5HzvjF9IBJc8/y0hzdoCIBQFhOOjXXTHPox8+ktUo3dqkzRGmt3G8Q2LWPnW/7H46etZ+79HSd21XrZmkyTJp4Tuo7+F9u7dS8+ePenatSubNm2qtJI4depUvvrqK1588UWmTZvm9BqlpaWUlpZW/DkvL4/mzZuTm5tLSEhIncbfWOgWCyWLFmNLTEQJCcFv3KUoUVFY1q6jaPZs7OnpqLGxBFwzBVP//hfEGSTLrl1kXnc9ek7u6eI1qgqaRuhLLxI09VbfBihJ0nklLy+P0NDQC3Ju8sZcD3K+d0fXdTL3byVj/xYU1UCTbgMIb9mB/JREDi2dRe7xgxjMATTrfwnNLxpzQSTllqJ8/nz5Tk4d2oFQFHRNQygquman+cWXMvAfb6AY5Mq2JEneUZ253mdnwP/+979js9n48MMPa7yN12w2YzabvRzZ+UWYTPhfNqHiz3pJCVlTb6NkyVJH0mm3g6pSNPMH/CaMJ+K9dxFequTdEGlFRZy6/kb0vPzKlWPLWrblPjUNY7t2mAcN9FGEkiRJ5w9vzPUg53t3hBBEd+xNdMfT1bn3/vYF2759qyz5tINQOL5hITtnvcvIp78kMCrehxHXvQ0f/IusI7sAKs7I65pjrj++YSE741rS47oHfBWeJEkXMJ+tgIeFhVFQUEBUVNQ57+Xm5lJSUkJQUBCBgYE0b96cTZs2ub3mhbzK4KnsJ56k6Lvvqy7OJgRBd91J6LPP1H9g9aTwu+/Jeexx5wNUFfOwYUR981X9BSVJ0nntQp6b6mKuhwv7Z+qJ4xsXs/rt+6t8TygqwfGtGP/mr44t6+ehgrTj/Hb/WMD5R1yDXyCTP1mFwexff4FJknTeahQr4AB2u520tDSn7xcUFFBQUICfn189RnX+smdlUTRjpvPK6LpOwVdfE/zgAyj18IHGsn07BV9Mx7JuHQiBefhwgm67FWPHjnV2z5I/VzjOwjt77mS3U7pyZaPqx6nrOmlpaRw8eLDiw2yHDh2IiJCtZyRJ8j0519e/PT9/6jgLrp873+uanbwTh0nZsYb4nkPqPJairHQOLZ5B0roF2EqLCW/ZkXZjryeu59A6m2dTd67DVfINYCspJOvwTmI696+TGOpCamEqS44tIrkgGX+DP4ObDqFnTC8UcX4+SJGk85XP/ovNyclB1/Uqf916q+MM7osvvoiu6yQmJvoqzPOKZc1asNlcDyotpXT9hjqPpWD6dDImXE7x3LnYk5OxnzhB0YwZpI+5lKK5c+vuxmXbz1yPcd66raGx2WwsXLiQX3/9lX379nH06FF27drF7NmzWbNmjSw0I0mST8m5vv5ZivLJOryzyuS7nFANnNyyos5jOXVoB388NIE9P39CfkoixVlppGxfzYrX7mXTp8/W2Rzl2GruPrnX7B58Jmggfjowi7sX38Hsg7NYe3INy48v47l1z/DYykfIs8iuAJLUmMhHZhcQ3Wr1bKCn42rIsm0buU897ViFPnPys9vBbif7nw9iO3K0Tu5t6tWr6tZs5RQFY4/ujWb1e/Xq1Rw/fhyg4oNM+f/u3r2b7du3+yw2SZIkqf5pNs/mcE/H1ZTdUsqK1/+GvaSoUp/y8nPYh5fO4vDSWXVy78iE7rhbAReqgfBWdbfjzptWnPiTr/ZMB0DTNXR07Lrj53go5yCvbXzFh9FJklRdMgG/gBi7d3M/SAiM3brWaRwFX3zpKADnaszXX9fJvQOuuxYMBudJuKYRdNeddXJvbysoKODgwYMuVxC2b9+OvRpP+DVNIzExkfnz5zNz5kx+/vln9uzZg7WOH8pIkiRJ3mEOCsM/wnW7N91uI7Jt3c71SesXUJqXhe50JV6w74/pdbIKHtGmCxFtu1XZHx0c5+BbDb4cc3C41+/tbbqu8+P+HxBOVvQ1XWNX5k4OZh+s1nUP5xzif1v+y9+X3MM/lv2dr/d8RUZRujdCliTJDZ+eAZfqlzEhAdOAAVg2bqy88lxOVTEPG4qhRYs6jaN0zdqq71/ObneMqQNqVBQRH31A1t33Vl6BL6sIH3DLzfhPnFgn9wZHK52DBw+SmpqKEIKmTZuSkJCAwVD9/xRPnDjh9oNLaWkpGRkZxMbGur2e3W5n8eLFJCUlIYRA13Xy8vJIT09nx44dXH755QQGBlY7TkmSJKn+CEWh/aU3sX3GO1XXOxECo18gLQdNOPc9L8rYtwWhGtDtzo6+6eSfPIq1MA9TUKjX7z/ogXdY/PQNlOadOmMFXoCA0Obt6H3rE16/Zzm7ZmdD6no2pGyg1F5Cq5BWjG45hkj/c4sRupNZnMHx/CSXY1Shsil1A+3C23l0zV8OzeXzXZ+hCrViJf14/nF+PfQz0y5+hp4xvaodpyRJnmuQCfj06dOZPn26r8M4L4X/5x0yJl6BlpFR+ayzoqDGxRH+xut1H4QH27vrcgu4/9ixxCyYR8FnX1CyaCG6xYqxezeC7rgdv7Fj6+zeJ06cYNGiRdjKzuELITh8+DAbN25k3LhxREdHV+t6nq5sezpu8+bNJCU5JvmzE/v8/HyWLFnCpEmTqhWjJEmSM3KurzsdJ9xK+p6NpGxbVanwqFBUhKIw6MH/YPALqNMYPJ5L62jODYppxrg3f+bgwhkcXTGH0rwcAqJiSbjkWtqOvLrOvv+MogyeWTuN5IITKEJB13XWp6xj5v4Z/K3HfYxtdWm1rmfVPNmBJrBoFo+utzNjB5/v+gygIvkGx0q6Vbfy0oYX+XzMl4Savf9QRJIkhwaZgEt1x9CsGTGLFlD4+RcUzpiJlpWFEhVF4I03EHjbbagRdb8dy2/oUIpmz3a+Cl62El+XjJ06Ef72m8CbdXqfcrm5uSxYsADtzHNwZR+ISktL+eOPP7juuuuqVQU4MjLS7RghBOHh7v+Z2mw2du/e7fT98krrGzZswM/Pj8jISJo2bdpozspLkiRdSBSDkaGPvs+R5XM4sPA78k4eRTWaaX7xWDpdNpXQ5p6tlNZGTOd+HFryg/MBQhDaLAFTYN11XfELiaDblPvoNuW+OrvHmey6nefWPUNK4UnAkdTC6fn+/W3vEhPQhF7VWGGO8o/G3+BPsa3YxX1ttA5t49H1fjn8M4pQKmI7k46OxV7Kh9vfo114B6L8o7g49mLMBtmhQJK8SSbgFyA1KoqQxx8j5PHHfHL/wNtvo+jHH50P0HX8LhlV9VulpRTO/IHCb77FfuwYIiSEgKuvIui2qagebLP2ld27dzvdLq7rOhaLhf3799OjRw+Pr9mkSRPCwsLIzc2t8tpCCFq1akVAQAC6rnPs2DF2795NdnY2RqORhIQEOnXqREBAAFlZWR6d896+fXvF9vSQkBAuueSSKvv7SpIkSb6lGIwkjL6WhNHX+uT+zS4ajX94DCW5mZWKsFXQdZr1q3quBzi5dSX7533NqYPbQVGI7zmUDhNurfOz67WxJW2zy+3iCgqzD/xYrQTcpJoY2+pSfj38S5VJs0AQZAxiYNwgAA7nHOb3I7+yI2M7IOgR3ZPL215ekaDvyNhe5XXOtPbkWtanrEfTNfwN/tzZ7W5GtxzjccySJLkmi7BJ9c7UtQthb78FiuL4dTZdJ3PKtRT98mull7WiIjKvvY7cfz2Fbd8+9KIitNRUCj78iLRRo7Hu319P30H1HT161O157eq24BFCMGrUKIxG4zkr0UIIgoKCGDRoEJqmsWzZMhYtWsTJkycpKioiNzeXLVu2MGvWLLKysqp13/LvIz8/n99++428vDyys7PZvHkz69atY8+ePVgsnm2FkyRJks5PqsHEsCc/wRgY4mSbuWD3nI/Y9Nnz58yP22f+hxWv3UParvVYiwuwFuaRtG4+i566lqMrf6mfb6AGNqVuRBXOi8xqaOzM3EGpvbRa172uww20Dml9TiE2RSgYFAOP9X8Co2pkYeICHvzzfv48vpyM4gwyitNZfnwpDyy/n6XHFgPuasOfEWtZkl5sK+bdrf9l5YkV5JXm8tvhX/l852fMOvAjaYVp1fo+JElykCvgkk8EXnsNhpYtybymiifzZcXRsv9xP8Z27TB27gRA3htvYtm85fSYcnY7en4+WXfeTczKPxvktmhPzmHb3PVor0JkZCRXXnklO3bs4MCBA9hsNsxmM506daJ79+74+fmxY8cODh8+DFQ+212+8r5gwQKuvvpqjEZjtaqd67qOzWbjjz/+ID8/HyEEQgg0TWPdunUMHTqUdu3qfpujJEmS1DCFt+zAhHfmsfCJqyg6lXLWu4756NDimYQ0bUOHcTcDjpXvPXM/dozQTs+d5b/f8OG/iO7Yh6CYZnX/DVSTVbN6lODaNBtm1ezxdQOMAbw65A1+PfwL847+QVbJKQyKgUHxg7mq3RRahbbiSM5h3t/2LlD5bHf57/+39b+0C+9A16iubE3f4nYV/Gwfbf+AYmsxGhqqUNHQ+GbPV4xrNYG7u9+D6qTivCRJ55IJuOQzpevWVV2h9QwFn39B+NtvohUVUfTd95ULx53Jbsd25Ailq9fgN2RwHURbO9HR0S6rlgshiImJqdG1Q0JCGDx4cMVqt3pGizdN09ixY4fTr9V1nYKCAk6ePEmnTp3YuXNntVrC6LpOfn5+xe/Lv9Zut7N8+XLMZjMt6riqviRJktRwFaQlVZF8V7b3189pN/YGFEXlwPxvEIpaKfk+26ElP9Dzhoe9HWqttQ5tw7KkpS7HRPlHEWCofgE4P4Mf13S4lms6XItVs2IQhkoLDr8f+d3p2W5wfM6Yd/R3JrW9gs1pf1X7/gXWgorf2/TTCwbzE+dhVk3c3q1xtHCVpIZAbkGXfKZk+XLnCTWA3U7JUsdEZjt8GL2oyPUFVRXr1q1ejNB7unTp4jKx1XUdg8FAdnZ2je8hhKiUfAMUFRVR5ObnJoQgNTWVvn37Eh8fX/GaN2zevNkr15EkSZIap9Qda5z24y5XnJVGQcoxADIPbnOZfOuaRsa+LV6N0VtGNh+JUTE67dkN0DK4FdsytlV7BfpMRuXco2c7M3e4vKama+zI2E7PmF7c3PlWAJfb5T2n89uRX8krzfXCtSTpwiATcMl3bB60xyrbui1UDzZr6DrUoJ92fWjevDmdO3d2OWbXrl3MmjWL+fPnU1pavfNh3mAwGBg3bhwjR44kNjaWwMDAalVlr0pGRgaFhYVeilCSJElqbHRNw0U+WkEr6xfuLlkHUBroXB9kCuahPo8ghEBxktxuzdjCs2unce+Suzmcc9hr9/bkuXn5g4Ep7a/hjaFvMajpYGL8Y4gwR9Tq3nbdzsbUjbW6hiRdSGQCLvmMqV9fUF1MtKrqGAMY2rdDcVdtW9MwDx0CVD7rbM/MpHTTX1h376m6Ems9EEIwaNAgRo4c6bTfd3nMJ06cYN68eZValtVUYGAgQUFBLsfoul6x8q0oCgkJCVx++eXceOONXH755bWOoTrnyiVJkqTzS2RCd3Q3dVCM/kEEx7YEIL7XMNdJuBDEdXccNTtzrrdZSjh1aAeZB7djK3XesquuDWw6iDeGvsXFcRejVPExu3yVOr0ojX+tfoLUwlSv3LdXTG8U4fxjvSIUesb0rvhzx4hOPNL3MT4b+yWfXzqdSL9Ilyv3rgiEyzZpkiRVJhNwyWcCb7nF9Rlwu52gO+4AQBgMBP3tHrfXzLh0PMktW3OyWQtS+vQjbdQlpPbqQ+YVk0kfM5a0gYMo/HGWt76FahFCkJCQwOTJk+natavTbd66rpORkUFSkvNWJtW5p6vWZkIIQkJCaN68eZXvh4eH07179xrfX1EUAgMDa/z1kiRJUuMW12MwgTHNnCfVQiFhzPWoJkdRsg7jb3Fdi0TX2T7jHWbe0I2Z13Vm1q19WfDEVcy9cxCLnrqWxdOuY+7dQ9j67ZvYrb7pyNE+vANP9P8X0y5+xukYTdcotZfw86G5XrnnhNaXuR/TZkKVr6tC5e89/w/g3ErrHqQKOjpNg5p6EKUkSSATcMmHjG3bEPbWG459U2euhJf9PviRhzEPGljxctDddxNww/WVxpxD16GsmriWmopt3/5K58ztx0+Q8+BD5H/0sXe/mWo6dOiQyw8YQoiKyuW11blzZzp27Fhx3TP5+/tz6aWXujzzfdFFFzFgwAD8/f0rXitfKT/7zPmZhBC0a9cOo9FYy+9AkiRJaqyEojDkkfcw+Acizmw9WjbvxHTqS7er76t4OaJNFwbc9xpCUSqPP4tetmXdVlJI9tE92EpP1zuxlRSy7/cvWfnG3yu2tvvCquRVLlelNV3jz+PLvHKvFiEtebD3wyhCqXRPx59VHun7GPEukuR+sf15YdBLtCnrF16uc2QXOoR3dPp9CARR/lH0iOnple9Dki4EQq9OyeMGLi8vj9DQUHJzcwkJCfF1OJKHLFu3UvDZ55T8uQLsdkz9+xN05+34DR16zlhd17H8tZnC77/H8tdf2I8crdlNVZXYvzai1rDyeG199tlnbreYN23alAkTqn5aXV26rnPy5En27NlDdnY2JpOJtm3b0r59e8xmz1qhaJpGVlYWNpuNsLAw/Pz8OHz4MEuXLkUIUemBghCCwMBArrjiCgICql/tVZLOJ3Ju8j75M218ik6lcmDhdySu+g1rcQHBTVqQMOY6Wg+7AtVgOmd8QXoyh5b8QNruDWQdct7Nw52B979Fy0HemUur68V1z7EpbZPbcb9M+t1rxU+TC5KZd+QPtmdsQwhBz+hejGs9nvig+GpdI7c0h0i/KJoENuFkwUkeXfEQhbbCSoXeFKEgUHhu4Av0iHa+206SLgTVmZdkAi41WumXT8S6bbvrSurOKAoh/3qS4L/d6/3APDBz5kzy8vKcvi+EoGPHjgwZMqQeo6qZ5ORk/vrrL9LS0gBQVZV27drRr1+/SqvmknShknOT98mf6YVj1+z32TX7A/SaVA1XFGI69WPUM9O9HpcnPt3xMX8c/QNNd34GPso/mi/GTq+/oGootTCV7/Z+w+rkVRW9xXvH9OHGTjfRLry9j6OTJN+rzrzUMMtISpIHrLv31Cz5BlAU7F44Y11TnTt3Zv369U7f13W9Ytt4Q9e0aVOaNm1KUVERVquVgIAAue1ckiRJ8orsxL01S74BNI2CVN/N9aNbjuW3I786fV8guLTVuHqMqOZiA2N5uO+j/K3HfeSUZhNkCibEJB9+SVJNyDPgUuNVm+1auo4SFua1UKqrU6dOREZGOt1y1rlzZ6fV0huqgIAAQkNDZfItSZIkeY+LM9SeMAeHeSeOGmgV2oqJbSdV+Z4iFFqEtOSyNrXvNlKfAowBxAc1lcm3JNWCTMClRsttWzJX7Hb8J1/htViqy2g0cvnll9OpU6dKhcz8/f25+OKLGTRokM9ikyRJkqSGwhQUWvMvFoLWw67wWiw1cUfXu7iz292Em8MrXjMqRka3HMOrg18nwCjrpEjShUZuQZcaLT03t2ZfKAT+V0zC2N63Z5ZMJhODBw+mf//+5OTkoCgKERERKC6qvkqSJEnShcRew57eQlEJiIyl9fDJXo6omnEIwcS2k5jQ+jKO5QzurQgAAOj7SURBVCVi1aw0C25OoFG26JSkC5VMwKXGqzqJqqpWnBcPuPZawl55qY6Cqj6TyUSMj6qxS5IkSVLDJhzb0D05By4UBKDrGhFtujDowX9jCgiu8wg9oSoqbcLa+joMSZIaAJmAS42WuX8/SpYtB7uT6qJCEHDNNfiNuxTbwYOIgAD8x4xBjY+r30AlSZIkSaqR6A69OLbmD5djAps0Z+D9b5G5bwu6rhPTqS+RCd3qKUJJkqTqkQm41GgF3XknJYuXOB+gqgQ//CCGpk1h9CX1F5gkSZIkSV7RashEtn3/DrbSInDSObfb1fcRldCdqITu9RydJElS9cnDplKjZR48iJDHHnX84YxCZqgqqCrh7/7PkXxLkiRJktQoGQOCGPLoe6gGE0I5PdeX/z5hzPW0GjLRV+FJkiRVm1wBlxq14H/ej+mi/hR88SWWDRvBYMBv1CiCbp+KsZH00ZYkSZIkybnYrhcz/u3fOLDwe45vWIjdUkpEmy60G3sD8b2GOW3pKUmS1BAJXXeyn6cRysvLIzQ0lNzcXEJCZH9Cd7TiYkpXrkTPL8DQpg3GXj3lJCZJkuRlcm7yPvkz9ZyuaWTs20xhRjLmkHCadBuAajD5OixJkqTzSnXmJbkCfgHSdZ2C9z8g/3/vohcWVrxuaN+O8LfewtSntw+jkyRJkiTJG1K2rWbT589RmJ5c8ZopKJQe1z9EwiXX+DAySZKkC5dMwC9A+W++Rf5//3fO67ZDh8mYcg3Rv/6MqWtXH0TmG5pd48iaY+yef5Dc5DxMgUYShrWmy6Xt8Q/z83V4kiRJklRtqbvWs+L1ezh7o6OlIJdNnz6LZrfSfuyNPorONzIPbGX//G/J2PsXCEFcj8G0H3cz4S07+Do0SZIuIHIL+gXGnp5Oat/+zlt3qSrmYUOJ+ubr+g3MR+w2jUWvriDpr2SEItA1x38OQgjMwSYmvjya8BZhvg1SkqRGTc5N3id/pq7pus6CxyaTc/yA08rhBr8AJn+8CoNfQD1H5xv7fp/O1m9eRygquub4DCQUFV3XGXDfa7QacrmPI5QkqTGrzrwkq6BfYIp/+dXpZAyA3U7p8j+xnzpVf0H50LbZu0ja7NiaV558g+PDS2mBhQWvrKj0uiRJkiQ1dHnJh8lJ2u9yvreVFJG8eXk9RuU7mQe2svWb1wEqku+K3+sa6z94gvzUY74KT5KkC4xMwC8w9oyMyi27qqLraBdAAm63aez6Yz84+Xyiazp5Kfmc2JZSv4FJkiRJUi0U52S6HyQUz8adB/bP/7ZSC7NzCQ4t/qHe4pEk6cImE/ALjNqkCdhsrgcJgRIVXT8B+VB+aj4leaUuxwhVkLo3vZ4ikiRJkqTaCwiPcT9I1wiIaFL3wTQA6Xs2Vlr5Ppuu2UnbvaEeI5Ik6UImE/ALjP8Vk1yvgKsqfqMvQY0Ir7+gfEQoHrZck63ZJEmSpEYkpGkbItp0AeH8Y57RP4j4PsPrLygfEi5+DhVjFPmRWJKk+iH/trnAqJGRhDz0oJM3FYTJRMjjj9VvUD4S3CSIgAh/l2N0u07THrH1FJEkSZIkeUevW55wJJVOks9eNz+GwXRhdPqI7THI5RZ0oSjEdR9UjxFJknQhkwn4BSjo/n8Q+sLziLCwSq8bu3Qlau5PGDt29E1g9UxRFXpc0cnp+0IRRLQKI66zB1v5JEmSJKkBienUlxFPfU5IfKtKr/uFRXPxfa/RdtQU3wTmA+0vvQld15y8KxCKgbaXXFuvMUmSdOGSbcguYHppKaXr16PnF2Bo0wZjZ+fJaEOSn16ApdBKUHQA5iBzra6lazp/vruOA8uOnG5DJgAdgmMCufyl0QQ3CfJO4JIkXZDk3OR98mfqOV3XyTq8i8KMZMwhEUR37I2iGnwdlluledkUZaVhCgolMCqu1tc7uuJn1n/4FEKIM9qQKQjFwJBH/kd8r2G1vockSReu6sxLMgFvQPSSEop/+52iX39Fy83FmNCOwJtuxNS7l69DaxCStpxk07fbyDycBThWqNsMasFFt/YmODqwxtfVdZ3kHansXXiQnBN5mAJNtBvainbDW2P0N3orfEmSLlCNfW5qiBrzz1TXddJ3b+TwstkUpB/HLzSSVkMm0qzvSBSDnHPyU4+x7bu3ObFpKZStWke270mP6x6kSZf+tbp23smjHFo8k7Q9mxBCIa7HIBJGX0tgVLw3Qpck6QImE/BGOCHbU1LIvOY6bEeOgKKApjmKpdntBN42ldAXX0BcwMXADq1MZOnbqytWp8sJReAXYmbyW+NqlYRLkiTVlcY8NzVUjfVnqtltrHvvMZLWzkcoKrpmRygKuqYR0aYrI576DFNQqK/D9Jn8lEQWPnUttuLCylXLhYIQMOSR92jaZ4TvApQkSXKiOvOSPAPeAOi6zqk77sR27JjjBa3snJLdMfkUfjmdwq++9lF0vmctsbHy/fWOP5z1uEjXdEryStn49db6D0ySJEmSqmHXTx+QtG4BQEWCqZfN+dmJe1n3/hM+i60h2Dz9lXOTbwBdQ9d0Nnw0Dc1m9U1wkiRJXiIT8AbA8tdfWLfvqEi4q1LwwYcVk/SF5sjaY1hLnPcu1zWdw2uOUVrguqe3JEmSJPmKzVLCgXnfgJONh7pm5+SWP8lPSazfwBqIoqw0UratdtGvW6c0L4uTW1fUa1ySJEneJhPwBqB0xUrXvbkBe3Iy9vIV8gtMXko+iup6+71u1ynILKqniCSp4chPTSLzwDaKTqX6OhRJklzIPrIHa3GBm1GC1B1r6yWehqYg7TjnbHM7i1BU8lOT6icgSWpA7KdOYdmyFeuBA5xHp4cvWA2/DOaFwG4HD8536y5WyM9npkCTswWDyuMCZPEaTxQUFLB7924OHz6M1WolLCyMzp0707ZtWxRFPpNrLNJ2bWDb92+TdXhnxWtNug2g102PEd7qwmglKEmNia4538lVQYDmdAX4/GYKdH+WX9c0jAGyM4knSm0lLElawsLE+WQUZxJqCmFUy9GMazWOIFOwr8OTPGRLTib3hRcpmT8f7I6dsIY2bQh+5GECJk30cXRSTclP2w2AsVcvsLmemEVoKIYWLeopooalzcAWjvZgzgiITogkOEZOyu5kZGQwe/ZsduzYQUFBAaWlpaSnp7N8+XIWL16MdoEec2hsTm5dyfKXbyfryO5Kr6fv3sjip68n6+geH0UmSZIzYS06oBhMrgfpOlHtetZLPA1NaPN2BMW2xFFttWpCVWnW75L6C6qRKrAU8PiqR/l4x4ck5iVSaC3gZOFJvt3zNQ8sv5+Mogxfhyh5wH4yhYzLLqdk/oKK5BvAdvQo2X+/j4LpX/kwOqk2ZALeAPiNGonatKnzbeiKQtDUWxEmNxP3eSo4JoiOoxOcz8k69L2xR73G1BhpmsbChQuxWq2Vti+V//7YsWNs377dV+FJHtI0Oxs/ftrxz02v/MBE1+xoNgt/ffGij6KTJMkZU1AorYZOQjjZaSQUlfDWnYlM6FbPkTUMQgh6XP8grrahdxh3M34hEfUXVCP16c6PScxLPOd1HZ3Mkkze/uvN+g9Kqra8t95GO5V1bo2oss9tuc89j5ad7YPIpNqSCXgDIFSViC8+QwQGVk7CyyZp08CBBP/zfh9F1zAMvre/IwnHsVu//Ey40d/AqIcH06K37OHpTmJiIkVFRS7PDu3atUuugjdwaTvWUZyd7qKQk8apA9vIO3m0niOTJMmd3jc/RljLTjieKJ9+qiwUBXNIOIMe+LfPYmsIWlw8lv53v4Bq8gNAqAYQCgiF9uNuoceND/s4woYvrzSXlSdWoOlVz+WarrEnazeJuYn1G5hULVpREUVz5rgs0IzNRtHcn+stJsl75BnwBsLUtSsxSxZTOH06RXPmoBcUYmjdisBbbiFgytUI44V9vlk1KAy772J6T+nKkbVJWAqthMYF03pQC4xm+a+xJ9LT01EUxWWCXVxcTGFhIcHB8nxYQ1WQftyzcWnHCYlvXcfRSJJUHcaAIC55/huOLPuJQ0t/pDDzJOagUFoPm0y7MdfjFxrp6xB9ru2oKbQYOJ6kdfMpzEjGFBRGiwGXEhDRxNehNQqHcw9j193XEdiXvZdWoa3qPiCpRrT0dLC6abmnqqdbGEuNisxcGhBD03hCn/oXoU/9y9ehNFjBMUH0uKKzr8NolIQQHlXOFB4UBJR8x5NCRQB7fvmMkKZtCYppWscRSZJUHQazP+3H3UT7cTf5OpQGy+gfSNuRV/s6jEZJEZ5tblXkJtgGTYSEuh9ks1H862/4jRqJ39ChdR+U5DXyvz5JukA0bdrUbQIeEhJCYGBgPUUk1UR87+EV2zNdydy/hUVPXUNhRnI9RCVJkiQ1BO3C2mNS3dcM6h4ta+c0ZGpEOObBg0F1nappGRmcuvFmihcurKfIJG+QCbgkXSCaNm1KeHi4yxXuHj16NIgV8NwTh9j85css/NcUFj97I3t++YzSPFloBBwrQ12uvNftOF2zYynIZfuM/9R9UJIkSVKDEGAMYHzrCQgnlWsVoXBx3ABiA2PrObJz2bOyyH//AzImX0n6+MvIefoZrAcP+jqsBiP4kYcB4bpVsa6DrpPz2BPo7rasSw2GTMAl6QIhhGDs2LHnrHCXJ9xdu3alY0ff948+MP9b5j08kYOLZpB1eBeZ+7awfcY7/PbPMZw6tMPX4TUIna+4m27X/MNpNeVyumYnaf0CLEX59RSZJEmS5Gs3d76VvrH9gNNb0su3nLcNTeD+Xg/4KrQKls1bSBs4mLzXXseycRPW7dsp/Opr0keMomD6dF+H1yCY+/UlcvqXiBA3R890HS0zk5Llf9ZLXFLt+SwB13Wd1atX8+ijj3LxxRcTFhaGyWQiPj6eq666iuXLl/sqNEk6b4WEhDBlyhSGDBlCfHw8UVFRtGvXjkmTJjFw4ECfr36n7drA5ukvAzq6dkYRGV3HWlLE8lfuwlpU4LP4GgohBF2v+jvtxtzgPgm32yjOSq+nyCrTbFZyjx8kJ+kAdpvFJzFIvifne0mqX0bFyFMXPc2zA57noriLaRuaQO8mfXis3xO8PvRNgkxBPo1Py8sj86ab0QsL4czCsHY76Dq5Tz1N6dp1vguwAfEbOYKID95zP1BRsCcl1X1AVdB1HVtiItbde9Byc30SQ2PjsyJsy5Yt45JLLgFAURQSEhIIDAzk4MGDzJkzhzlz5jBt2jRefFH2s5UkbzIajXTq1IlOnTr5OpRz7P39C4SiVk6+y2ka1sJ8jq76hfZjb6z/4Bog/4gYj8aZgjwr3OYtmt3Gnp8/Yf+8b7AU5JTFEEaHcTfR+Yq7UQwXdleHC42c7yWp/ilCoU+TvvRp0tfXoZyjaPZP6Pn5TttpoqoUfPwJ5oED6jewBkqJinI/SNNQwsLqPJazFc+bT95bb2Hbf8DxgtGI/6SJhD71L9QYzz6jXIh8ugKekJDABx98QGZmJvv372fLli2cOnWKJ598EoCXXnqJ33//3VchSpJUz9J2rqs6+S4nHGMuFJrdxvGNi1n97wdY9sJUNn7yLKcO7ax4v8WAceia88J6QlGI6dwP/7Do+ggXcPQhX/vfh9k5672K5BvAUpDDztnvs+Y/D6LLXvMXFDnfS5J0ptJVq1wPsNspcTfmPGPZvp3sx58k45prOXXPvRTPm49uswFg7NIFtWVL12fBzWb8xoyup2gdCr/9jqy77sZ24Ixz+1YrxXN/JmPC5dgzMuo1nsbEZwl4//792bt3L3/7298IDw+veN1kMvHKK68wbtw4AD799FNfhShJUj1zm5jpuss+5ueT0vxsFj11Havfvp8TGxeTtnsDR5b/xKKnrmHT5y+gaxpBMc1oO2pK1ZNy2WvdrrkfXdOwFhWg2W11Hnfylj85vmFR1Ssbus6JTUs58dfSOo9DajjkfC9J0pn0sq3mLl0gc72u62T/axoZ4y+jaMYMLGvWUjJvPll33U3GZROxZ2UjhHC0KHbxMwv+x/8hgoPRiorQS0rqPG4tO5ucaU+XfxOV37Tbsaelkf/2O3UeR2PlswQ8JCQEg8H5DvjRox1PcQ4cOFBfIUmS5GOR7XqAqzPNQiG6fa/6C8iH1v73EXKO7QNOP5go3x1waNEM9s/7GoC+t0+j3ejrHWfBhUAoKgDmoDAu/r/XObl1BT/dOYDZt/Xjx5t7sfZ/j5J7vO6qzB5a/ENFDFURisqhxTPr7P5SwyPne0mSzmTu08f1XK+qmPr0rr+AfKjw088o+uorxx/sZTsAy+Z86549ZN93HwD+E8YT9u93EEFl5/dV1fGg3Wgk6MEHUCIiSB82nJR2HTjZth0ZV0ymeNHiOou7aO7PYHPxUN9up2jWbPTi4jqLoTHz2Rlwd0rKnt74+/v7OBKpMbJZ7BxYfoS9Cw9SkFGIX6gfHUa2odOYdpiD3PfHlHyj44RbWf3OFifvChTVQJsRV9ZrTOV0XSdj32YK0k9gCgwhtvtADB70466JnKQDpO5c63LM3t8+p/24m1AMRvre8TSdJ99D8qYlWIsLCY5rSWRCd5Y+fyuFGSdOJ/B2G0nr5nNi42JGTPuc6I59vB57fspRl8cIdM1Ofkqi1+8rNV5yvpdqTNfh0ELY+B6c3ASqCTpOhov+AZHtfB2d5ETADdeT95//gtVa9aqu3U7QnXfUf2BlrIePYN22DQwq5gED6uwss26zkf/Bh84H2O2UrlyFde9ejJ06EXjNFPwvv4ySBQuwn0hGiYjA79Kx5D79LAX//k+l3XCWzVvIuu12QqY9RfDf3LcurS5bYiIYDI5/hk7oJSXYMzMxNG/u9fs3dg0yAdd1nVmzZgEwaNAgH0cjNTaWIiu/P72EjEOnQAA6lOSVsuHrreyZf4CJr44hKCrQ7XWk+tes/2g6TLiV/X98VakYm1AcT3oHPfhv/EIjnX59Se4pDi+bzYmNS7BbSohI6Ea70dcTmdCtVnGl7d7Ixo+nUZB2vOI1o38QXaf8Hx3G3+L16vEp21cjhIKuO9+CV5KTSe7xQ4S3crSOC4iIod3YGyreX//BkxRmJJ+zrV/X7Nh1nTX/fZiJ7y9FcbFaXROmwFDguMsxxoD6LQonNVxyvpdqTNdh4UOw/j8gVNDLHvxt+hA2fwLX/wIJY30aolQ1NTqaiI8+IOvuex3/HMtXflUV7HYC77kHv0svdfr1emkpxb/9TuGPs9DS0lCbNyPw+uvxGzsG4WK3jTv2lBSyHngIy+rVZwSr4H/llYS98jJKQECNr10V24GDaO7OSSsKJStWYCwrnKv4+xMweXLF20Vz51L8yy+OP5z5MKNs7s976WX8Ro3E2L69V2NXQkI8OiagBPm24n5D1SAT8E8//ZStW7diMpl44IEHnI4rLS2ltLS04s95eXn1EJ3U0K374i8yj2Q5/nDmg1UdCjKLWPr2Gia9OsYnsUmuCSHodfPjxHYbwIEF33Hq0A4Ug5Fm/UbR/tKbCG2W4PRrTx3awfKX78BaXARliWveyaMc/XMu3ab8H12vvq9GMWXs38ryl+84Z1XXWlzA1q9fQ7NZ6Dzprhpd2xnNZnM8yXZ3RM7JmW5LQS6Jq393vhKtaxRnpZGybRVNew+vXbBnaTn4MrKO7nZ+Vk0IWg2Z6NV7So2XnO+lGtsz25F8w+nkG0C3ORK6H66EB49DQIRPwpNc8x87lpjFCyn4/EtKFi1Et1gx9epJ0O234zdyhNOv07Kzybz2eqy7dzu2sWsatqNHKV3+J+ZBg4j86ktEDXbTaDk5ZEy+EvvJlMpv2DWKf5qD/eRJomZ8j1C999Bat3rQnlMIsDrf6l3w5fSKn0OVVJXCb78j7IXnaxakE/6XX0b+v//jfICqYB44COWMuh/SaT47A+7Mli1b+Oc//wk4qqK2bdvW6dhXX32V0NDQil/N5RaHC15JfikHlh91Whla13RS96RzKjG7niOTPCWEIL7XMIY/+QlXfb6eyR+vot+dz7lMvm0lRfz56j3YSk4n33D6zPTOWe9xYlPNCn9t++4txzWdJJQ7f3wPS4F3+15Gtu3quho8oJr8CGnausr38lOPobspuCYUlZxj3j9z22bElQRENKnyHLhQVPzDY2g78iqv31dqfOR8L9XKun+DcPYxVgdrMWz7sl5DkqrH2L494a+/StzWLcTv3knUt9+4TL4Bsh96BOs+R32UiqSzbAW9dN06cl58qUaxFH71Nfbkk6dX48+kaVjWrKV0+Z81urYzhoQE9w8L7HaMPXo4fdu2d5/rlWi73fGwwsuMHTrgf/llVZ/lL9sVGPzQA16/7/miQSXgR48e5bLLLqOkpIQbbriBRx55xOX4J598ktzc3Ipfx4+73vYonf8yj2Sh2dxviUnbJ1sjnE8S1/yOpSDHaRV1oSjs/f2Lal+3MCOZzP1bXFZn12xWR9VvL2rS9WKCYls4LWYmFIU2I67C6Ff1UQrVg7Ppuq6jmsy1irMqpoBgRj33DSHNHMmUUNSK7yOkaRtGPfs1pkC5Bf1CJ+d7qVZ0HZI3VHrgWqXjrmtpSI2LLSmJksWLq06SATSNohkz0XKr/1C8cOYPrhNZVaWw7LiMtyiBgQRcfx2oTtIxVUVt1QrzYBfHc8xu5nEharQjwBPh//k3/pPKdrQpiuNMOCBCQoj47DPM/fvXyX3PBw1mC3pqaiqjR48mJSWFCRMmMH36dLfnKs1mM2Z3/+JJFxRPz+IKxbtndiXfSt+90eUWLF3TyNy3Bc1uQ1E9/2uvJPeU2zFCVSjOyfT4mp4QisLgh/7H0udvwVZceMZquAAB4a070+P6B51+fWizBAKi4ijKTHE6Bl2naR/XKw01FRTTjHFv/EzG3r9I37sJdJ2Yzv2I7tTPa+fli7LSOL5hEZaCPIJim9O8/2gMZlnEqzGQ873kHe7+LhEuVsilxqh03Xr37cssFixbtuA3onrzm5bpZh6329FSU6t1TU+EPP4Yls1bsO7Y4Xih/PtTVURQEJGffuLocuKE//jxFM2c6fyhhK7j7+I8fW0IPz8i3nsX2yMPUzx/AXphIYZ2CfhfeinCS39fa8XFlPwxD1tSEkpYGP4TxqM2aeKVa/tSg0jAs7KyGD16NIcPH2bYsGHMmjULo9Ho67CkRiJ1bwa75+8n42AWqkFBqALd7vov6PhusfUUnVQfdF13e166JvzCot3f224nIML7k0F4yw6Me+NnDsz/hqMrf8FaVEBgdDwJo68l4ZJrXSabQlHoeuXf2PjJM1W/LxSaXTyG4NgWXo/79D0EMZ37EdO5n1evq9ltbPn6NQ4unAHojmJ9dht/+b9Iv7ueo9WgCV69n+Rdcr6XaiznmKPA2sE/QLNBYBMoTHWxCq5D61H1GqJU1zyc6GvweUBpEoP9aKLzAaqKGt+0+hd2d9+gIKJ/mkXht99R+PU32E6cQAkOIuCqqwi88w4MTV3fM+iuOyiaNcuRuJ+9CKGqKFFR+E++wutxn8nQqlWdVFov+mkOOf/6F3pBoWN13W4n99nnCLz9NkKfedqr5/Hrm88T8IKCAsaPH8+uXbvo168fv/32m2xFInls03fb2fLjTo+SbnCsfDfvE09oXHA9RCfVl+gOvUlaO9/5AKEQ0aZztVa/AQKj4ojp3J+MfX853YauGs00v6huivoFRsXR6+bH6HXzY9X+2jYjr6YoK51ds98//fRcOB4YxPYYxMX3vuzlaOvHlq9f4+CC7yn/hFV+1t1WXMC6/z2KKSCI+F7DfBih5Iyc76UaO7QQZl4BduvpgmtCcZ58CwX8wqD7TfUVoVQPTH36uh9kNGDs6fzMtDOBN9xA3iuvOl9ht9sJuO6aal/XE8Lfn6C77iTorjur/bXGdu2InP4FWXfdg15U5NgNKATYbKixsUR+/y1KYOPr/FO8aBHZ9//z9AvlPcd1ncLPvwBFIezZqhcZGgOf7s0pLS1l0qRJbNiwgS5durBgwQKCg2ViJHnmyLoktvy4E8Bp8l2+1bz8fyNahTHinwPrJ0Cp3rQaOhGDX4Dz7Ya6RscJU2t07V43P4ZQDQgn1+5x48MYAxpemw0hBN2m3Mfl7y6m8+S7aTFwPO1GX8/oF79n2BMfO35ejUxRVlrFyneVBGyf+d96jUnyjJzvpRrLT4GZk8FWela18zOSb3HGSphQwBQMN84Hc8P7u1mqOWNCW8xDhzjalVVFVfGfPBk1ovqV7wNvvglDmzZVX1tRMI8aiXnIkGpftz74DRtG7OZNhL70Iv6TJxNw9VWEf/gBTdaswpjgvIBtQ6XrOnmvvl6pr/lZAyj8/Avs7lq4NWA+WwG32+1cd911LFu2jLZt27J48WIiavAfjFR3inNK2L3gAAf/PIql0EJofDCdx7YnYVgrFGcFI+rRjp/3Ojo1uVj4Dm8RCkBAmD/tR7ahzcAWqMbGu2VFqpopIJihj33AitfuQbNZK/UP1zU7HcbfSouB42t07Yg2XRj17Nds+uRZcpL2V7xuDomkx3X/pO2oKV75HmrDZinhyNLZHFzyA4UZyZgCQ2g97Araj72BoJimdL/mfl+H6BUnNizG5d5CXScncS/5qUl1ur1eqh453zdwNgvs+BY2fwzZR8A/AnrcCn3vgYBIX0cHWz4DeynOH7ypENoC/ELB4A8dJ0Gv2yHQ/REiqfEJ/+9/yLjyauyJiY4XdL2iBoyxa9cat9tSgoOJmjObnMefoGThotMfLk0mAm+8gdCnp7k8i10fdF2nZPESCj7/Auu2baCq+F0yiqC77sTUrRtBU2+Fqbf6NEZvsB0+gu2Amy4tmkbxvPkE3XpL/QTlZULX3VUzqBszZszghhtuAKBdu3bExMRUOS4uLo5ZHlYdzMvLIzQ0lNzcXEJCZJXd2sg+nsuvTy2iNK+04u+g8mS3Wc84Lp023KeJrGbX+PTK712OEYqg7eCWjHp4cD1FJflaQXoyBxd9z/ENi9GspUS07UK7sTcS221grYt/6bpOzrF9FKQdxxQYSnTH3igG359dtRYXsuzFqWQd2V32+dTxH6xQFEyBoVzy/LeENG3j0xhrStd10nau4+DimeQk7cdWUkRJbpbbysdjX51NRJsu9RSlexf63CTn+wbMUgTfjYNjKytv6RYKBMXCbSshwnl7uHoxfSQkLnc9xhwKT+bUSziS72kFBRT9OIvCmTPR0jNQmzYl8KYbCZh8BcLPfRcQd+wnU7Ds2A6qAXO/vihhYbUPupZ0XSf3+Rco/PQzxyp9edE1VQVdJ/zd/xJwxRU+jbE2rIcOU/j115SuWIleUoz9RLLrL1BVQh59hOB//F/9BOiB6sxLPlsBLy0trfj9wYMHOXjwYJXjWrZsWV8hSWV0XWfhqysozbdUWl0u//2J7SlsnrmT/jf39El8HtN1fPR8SfKRoJim9LrpUXrd9KjXry2EILxVJ8JbdfL6tWtj+/dvk310zzlbQXRNw1KYx+p3/sm4t371WvXx+qLrOn99/gKHFs+s2MngEaEQEBVXt8FJ1SLn+wZs6b8gabXj92c+2NI1KEyHH6+Ge7Y43wpaH9y1GnMMqvMwpIZDCQoi6PbbCLr9tjq5vhofh398w5pHShYudCTfULniednvs+9/AFO//hiaxvsgutop+uVXsv9RtlPPWTX3s9ntqI14zvDZXoqpU6eilyVIrn4llm8xkepN8o5UcpPz0DUnE5oOu+fvx2bx8D+SOqCoCjHtI122E9N1iOtSN60KMo9kseK9dfz4f78x+59/sPHbbRRkFtbJvaTGw26zuOwZ7m3WogKOLJ/j9J66Zif3xCEy92+p1X188SDr8NJZHFo803F/D5Nvoag06zcKvxC5vbkhkfN9A1VaAFs+dZ7gajZI3QYn1tdrWOdoNdx1OzFhcIypC/mp8Ofz8FFveK8zzL0VTmysm3tJjYZut6NbrfV6z4LPv3B+9h1A1yn63vXOUHd0HyxcWQ8fcSTfdrvnybcQiNBQ/MfWTQHc+uDzKuhSw5O2L8NtVXFLoZXck3lEtgqvx8gq6z6pM0veXFXle0KA0d9Iu2GtvX7fHb/uZd3nmxGKqHhIkZWUw45f9jLu6RE07S5bnJ2vNLuN5L+WcWT5HAozU/APj6b10ImU5mVzYNEMClKPIRSVuF5D6TzxTqI79q7TeHJPHMRuLXU5RgiFzIPbie7Yp1rX1mxWDi35kQMLvyP/ZCKK0Ujz/mPoNPH2Ot8FoOs6e3/7AkefX88+DAhFxRgYXCe7HyTpvJSxG6xFrscIBY6vheYD6iemqvS5C1a/BnYLVf59oNvg4ge8f9+ktfDtpY6fUXnxt6yDsP1rGPEiDJvm/XtKDYZl2zYKv/4Wy44diAB//MeNQ42Pp/C777CsXQe6jqFzZ4LuupOAKVfX+S4z65atrhNUTcOyuWYP20uWL6fgo08oXef4vkx9ehN09934jbu0zr+vwq++rt4XKIpjy/0br3ut17gvyARcOocQwqPPvK5Wn+tDm0Et6HGoM9vn7qmUDAtFoBoVLp02AlOAd8/ontyZyrrPNwNU2iGgazp2q50FLy3nhs8m4x9S+zNIUsNiKy1mxet/I333BoSioGsauScOkbpjTaVxumYnZetKTm75kwH/9wYtB00gY+8mElf/TmleFgFR8bQZPrlWSazdUkrGvs1kJ+5zO1bXNVK3r6bDhFtRFM/qNthtFla+/jdSd6wrvwqa1ULSuvkkrV/A0Effq9NWX6X52RSkHvP8C4RC074j6XXTowQ1aV5ncUnSecXVqnJNxtWVkKZwzSz44SrH1ja9rB2RYnCs0o9+A1qP8O49S/Lg+wlgLay8Q0Aru/fypyG2J3S4zLv3lRqEvHf+Tf7b71Q6a20tT27LEkAA27595Dz4EJaNGwl78w3siYkUzpiJ7cgRRGAQ/pdNwG/kiBr3q9Z1Heu2bdjT0jw6BmLdswd7Vla1qsDnv/+Bo/3aGd+rZfMWsu66m6D7/k7ov56sUeyeKl21yvOVb8DYtSshTzyG37DG3W5UJuDSOeK7x6J/t93lGP9QP8Ka+rbwjRCCi6f2pnnveHbP20/GoSxUk0rrAc3pcml7gqK93/dwxy97KyX7lehgs9jZv+QwPa9sOAWgpOrRdZ3MA9soSEvCFBhCbLeBqCYzW75+jfQ9mxxjyrd8O9m6Wb5lev37T3Bk+U+k7VpfcY5ZKCoH5n9DwiXX0veOZ86pqqrZbdiKCzH4B57Tt1zXdfb+8hl7fvkUa1G+x99T6s51bP7yZfrd4VnPzP1/fEXqznWc/SRO1+wgBGv+/SBXfLwKo38d9Rb1YAucUA20HDieDuNvISAqTm47l6Tqiunm6JVdkuN8jK5B65H1FZFzHS6H+/bApvfhwO9gt0HLwdD//6DZRd6/345voSQXl5XX170tE/BGzpaYiGXrVlBUzAMHoEZHUzxvviP5hqoTwzOPfJX9vmjGTPTiYop/+dWRoNvtoKoUz56NsVs3Ir/7BjWyckcBXdPQ8/MRZnOVheNKli4j59nnsB896vH3o2VlkXnVFKL/+A0lwH2rUcvOnY7k++zvtez7Knj/A8xDhuA3pA6LGXsw3yvx8UR+/ilKWBiGFudHhxOZgEvnaNIhiuh2kWQeznJ6Drz7FZ0aRCsygKbdY+tt23fyjjTnZ+MBdMcZepmAN07pe/9i4yfPkH/y9IRnDAim4+W3c/TPuR4WAzpN1+yk7dpQ8fsz//fQkh8IiIqjy+R7AEcF9z0/f8LRlT+jWS2oRjOth11B58l3ExjlKKqy7ds32ff7lzX63g4tmkHH8bcQHNfKTcwaB+Z/63xS1HVspcUkrv6NdqOvq1Es7phDIgiKbUFB2nGnceh2G037DG9Q1c4lqVEx+sFF98OKF6ky0RQqtBwCsT3qPbQqRSbApf92/KprictxeQRGtzsqx+u6bwvUSTViT0sj+6GHKf1zxekXVRX/q67EduBgRVszjwlB8c+/lF3cXul/rXv2kHXHXUTN/QkhBHpxMQWffErBl9PRMjJACMzDhhJ8/z8wX+R4mFSydBmnbp1a/W9M17EdPEjx7J8IvOVmt8MLp39duaL62VSVwi+/rNME3DxkMLYjR1zG4Dd0KKbu3essBl9oGBmU1KAIIRjzxFCCmwSVvVD2P2VbztsNb02PKzr7KDpf82Bvvqy83iidOrSD5S/dTn5K5a3P1qJ8dv7wXzRbTQuuOP/3Ye9vX2C3Wsg7eZSFT1zFkeU/oVktANitpRxeNpsFj19J3smj5Kcm1Tj5BscZ6QOLZpC8eTknt67AUphX5ThLQS7F2emur6WqjsrrdUQIQccJU53+tyQUFf/wGJr1u6TOYpCkC8LQp6HzFMfvlbI1mfIt55Ht4eqZvonL13S94rOP23FSo6Ll5ZEx+SpKV62u/IbdTvGs2Y7+2tUtpurq3wO7HcumTVi3bkMvLibzuuvJe+ttR/Jd9rWlq1aTedUUin75BV3TyHlqmvvrulDw/feUrFhB8cKF2JKSnI6zbHVzrtxux7LN9Y7Y2gp018db0+qs2r0vyRVwqUpBUYFc/d8JHF6ZyMEVRyktsBAaH0ynse1o2j220bU0qonSAgtZSTkIRRDVJgKDSSWuSxNObEtxugouRN1VXpfq1rbv3nKsTldzlbs2rIV5nDq0g23fvYW1uOCcat+6ZsdaVMCGj6bRpOtF1WvHdRZd0zgw72sOzHMUPFGMJhJGXUPPGx9BNZ0uZOJZb3OBYjDVKA5PJVxyLVlHdnNk+U+Vv2+hYPQPYtgTHzWIPuyS1KipBpgyEw7fDps/dRQZC4iGHjdDl2sdq+TnO7sNUreCrQSiOkJgtGPlf+8c518jVGh2sWOlVGpUCr/5Fvvx41Un2XX1QMVgoGTJEkpWrMCyZeu597Y7jndlP/gwIjjYEV9N6Tq2Xbs5dcNNFS+Zhw0j7I3XMDRrVmmoMLufx4Wpbud6Y0IC4f/5N9n/fMDxIfrM/uaaRtibb2Dscv4t+skEXHLKaDbQcXQCHUcn+DqUemUpsrJ++mb2LzuCZnX8JWkKNNLt8o50vawDx7ecrPoLBSgG5YL7eZ0Pik6lVpzvrm95yUc4ddD5E2Zds5O5fwt+oRGercg4v1KlP2lWCwcWfk9+6jGGPf5RxVl0Y0AQke16curQDudn3O024nvXbQEUoSj0v+dFml80hoOLZpCTdACDXwAtB46j7ahr8A+LqtP7S9IFQwhIGOv4dSHRddjwP1j1iqPnOTh2AXSeAsOfB9O0sgroVSVqdhjwUP3GK3lF0YyZ1V/hri0h0EpLKf7+e+f31nWwWCj+5bfa3++sBwmlq1eTcflEYhbMR21yepHIb8wYrLt2O49JVfG7tO7/Xgi4cjLGLp0p/HI6JStXga5jHjKYoKlTMXau264rviITcEk6g63Uxm/TFnPqaHalVW5LoZXNM3eSMLQVfW/swV/fba/Uqk0oAqEIRj8xlIBwf1+FL9VQSe4pD0aJsiOBnj4hd99Cy1FN3bMVbV3XPe3I5TldI2XbKlK2rya+19CKl7tMvpuVb/y9yi8RikpIfGviug/ycjBV3EsI4nsNrRSbJEmSVyx+DNa+Vfk1zQa7f4TkDTD5G/jpBkf7s/I2ZOWV1wc/AZ2vrP+YpVqzZ2bU/02tVgytW6NlZLoep6poWVnev7/djnYqi/wPPyLsuWcrXg686UYKPvoIvaj43CRcUcBgIGjqrd6PpwrGDh0Ie+3VerlXQyD3zkgNmmbXOPbXCZa+vZo/nl3Kyg82kHHQk2SpZvYtOeyy+NyhlYnEdYpm4qtjaDOgBUFRAYTEBtF1QgeuefcyWvZtVuXXSQ2bn0erqTr+4TEeX1M1+xEc3xrhpPWXUFSa9R/j8TVjuw10mawLRUWoRqf3c/V1R5ZX3mrZtM8Iek/9FwhRsTJe/r9BTZoz7MlPzqneLkmSVCupO2DeP+CbsTDrOtg717E9vC5k7Ds3+S6n2yHnGCRvdFReH/AQRCRASHPoMBFuXQaXXDiJwvlGjXFzTFBRUMorbXt43NLvsgnOjyMoCkp4OP4Txnt0LUOL5ihN3MRoNFa/+J/dTtGMGae7uABqdDSR332HCApyXO+MX8JsJnL6FxhatarefSSPyBVwqcEqLbQw/4XlpO3LqGj9JVTB3oUH6TQ2gSH3XuT1XuR7Fhxw+b5QBHsXH2LUQ4OJ6+x5MiY1bAERTWjS9WLS92ysNDmdSTGaGPPyjyT/tZS/Pn/B7TWj2vekz61PsvjZm7AVF1ZKnoWiEBAVT9/bp6EazagmP+yWEqfXUs3+tB42ieyje8qS5coPiISioJr8GPzgv9k15yMy92/x7BvHscW9MDP5nNc7jLuZpn1GcHjZbHKPH8Jg9qNZv0to1m+UPHstSZL36DosfhzWvnl6hVmosPsHR6/tmxc5zmV707YvT9+rypjssPljGPUyjHnD8Us6LwTccB15L73ifDebphH24gsIIOuhh9FPuVn0EYKwd97mVHIy1u07Kq8kqyoYDER88jFqeDimQYOwrF/vvPCZzYb/uHGY+vcn++/3Ob1l2GuvYNm4iaKf5oCt7N9hUfb/XOzS0wsK0YuLEYGnW4ia+/YhduN6in76idI1a0HXMfXrR+A1U1DCw11/71KNyQRcarCW/2ct6Qcc23XKV6TLt3zvXXiIkCbB9LzKuy2ICtILXb6vazp5qQVevafUMPS88REWP3MDum6r8sxf92sfICAihnZjrufAgm/JSz6Ksz3hQlEJbdr2/9k76+gorjYOPzOzGnc8kODuLVacom0p1N31q7u7u7tRoLS0Rdri7u5OAkESQtx2N1mZ+f6YKFlNNhBgn3M4JDN37r072d07v/sa4c1aM/rdGez792cOLfsbu8WEPiyKViOupu2Ym9CHRADQduzN7Jnxjcu5tRt3C1pDML3vfBldcBgH5k1BtlvLz4c3bU2f+98mskU7GnW7iPzjyRSkJiPpjWz+6XWK0l1nQRVE0aUVPiSuKV2vedjltQECBAhQazZ9o4pvqBDEZS7fJ3fCH1fCrcv8O2ZeiueEm5YcNTGbNhBWdi4RfP31mKdOw56SUl0IiyL6AQMwDB2CIIoEXzGRou9/cC2YBQEpPh4pOJjY6X9Q9PMvmH7+Bcfx46DXY7zsUkLvvQdtmzYAhD34AFlr1jjvS5LQduqIrn8/NdGx7CD/5VeQsyo2AMToaMJfepGgiRMIvuYawp57FuumTaAoFC9egvmP6RWC3Nl0DQYEY/X3sxgaSsgttxByyy3ubl0APyIoyrlTQ6GgoIDw8HDy8/MJCws709MJUAvy0wqYdu9st20MYXpu+HECktY3l1t3TLljBkWZrkW4IArE92rCqOcG+23MAPWHrIPb2fjtS+Qd3V9+TB8aSeerH6xS8/rAvCls/ukN3AVlj35vFhHxbaock2UHohMXcVl2sOn7V0hePL2KC7kiO2g1/Gp63v5CleusRfmc2LEaR0kx4c1aE9Wyk8vKBHtmfsf2aR+53RUf8NinNLtghMvzAWpHYG3yP4F7eo4gy/BJIuQfcd/urk3QuKf/xv33PtjynWsLOIDGAM+aApnOz0Ec2dnkPfkUxfMXVKyNWi1B115DxIsvlItUW1ISGYOGuO5IEAh/8QVC7rqzymHF4QBRdLoum6f/Se4TT5ZnPkcQwG5H27kz0ZMnIcVUhMQpNhslK1fhyDiJFNcA/UUDELTOPdCsO3eSOcqNm7skEXz9dUS89abrNgFqhS/rUsACHqBecmzrCY85rIoLSsg+nEtcG/9lQ24zJJGtf+5yGQOuyAqtByf4bbwA9YuY1l0Z9e4Mcg/voSjjOLqgUGI79EI6peRWy2FXcnTtXLL2b0WpYkVR37QdLr+7mvgGnIrvsuMX3PUqbcfcxOEVs7DkZmKMjCNh4GWEN21Zrb0uJJzm/byLJ2s14mqSFv+BOetEtRhyQRSJbt2NJj3dPGAECBAgQF2Rk+RZfAsSHJzrXwHe+TrY9JXr86IGOl8fEN/nKFJ0NNE/fI89NQ3b9u2gkdD37l3N5VrbqhWhjz1K4QcfqkK58ka2KKLt3o3gm26s1r8guTYMBV15BfqhQzBPn459/wEEoxHDqFHoB/SvlltF0GoxDPVufdZ17oxx/GVYZs2uvuEuSQghIYTcd69XfQWoewICPEC9RLY7EAQBTw4aDrt/S0l0GtuWvQsOUlxQUk2EC6JAdEIkLS5s5tcxA9QvBEEgKrEjUYmuwxskrY7Bz33P7r+/5uCC37CZCgAIaRhPx/F3kTD48hqNHd60Fd2ue6xG17pCFxzG8Fcms+6Lpzm5a13FCUEkvu9oet/5CqIUWAoCBAhwBnBYPbcRBO/a+UJ8f2g1GpLnV3dFFyTQGGHAU/4dM0C9Q9OkMZomjd22CXv0ETTNmlH42efYk5MBEMLCCL7pRkIffgjBYPB5XCk6mtB77qnRnN0R+fFHiFFRmH6dDDZb+XFthw5EfvYJmmaB59f6QsAFPUC9JG33Sf55dqHbNqJG5KZfJqIP0ft17Py0Aha+u5Lsw7kVdZcVaNajMUMf7Y8hVB3PXmIndWc6NrOd8CahxCRGuXQDDnDu4rBbMWemIWq0BMU0rtfvgYK0w2Qd3I4oSsR1vICgKA+ZVgP4hcDa5H8C9/QcwWaB9xqAtdB9u2tnQ9tL/Du21Qz/3Ak7f1N/FwRVjEe1giumVVjcFQWOrYH8oxAUAy0GgxRIRHm+oSgKjrQ0KLEiNWmMoPfvs6c/ceTkUrJyBUpxCdoO7dF17nymp3Re4Mu6FBDgAeoliqLwx//+IT+t0Kk7uCAKtBmayOAH+tbZ+BkHsji5PwtREmnStSGRTcPLz22fsYctf+zCZqnYYYxOiGTQ//oQ2yq6TuYU4PShyDLmnHRQFIzRDV26jgcI4A2Btcn/BO7pOcT8x2DdJxWJ1yojSBDaCB5Ogbr6Hs47AgfnqAnXGnZTBXbZRmryQvj3XshNrmgfFAsj3oXut9TNfAKcVhxZWSgmE1JcnNMEZQECeEtAgAcW5HOCnKN5zH5mAVazraoIFyAqPoJL37wYfYjOdQelyA6Z1B3pmHMsGCONNOnSEElT87iujVO2s+WPndWOC6KAqBG5/L1RRLcIlG44G1FkmYMLfmPvPz9izkoDwBjVgLZjbqbt2JsCQjxAjQisTf4ncE/PIawmmDRcrbutKJQnfxE0agbymxdDk97e9XViK5zcobqQtxwBxlqsxYeXwqQRpS7qTh6Vx30Dve6qef8BzijFK1ZS+OGHWDduAtQM4UFXX0Xo448hRUWd4dkFOBsJCPDAgnzOUJRlYuc/+ziw5BAlRVZCYoLoMKoNHce0QWv07AJ2aPURVn+3CXOupfyYIUxP39t70mZwos/zMedamHzb3y6TtAWypJ+9KIrChm9f5NCSP52ej+83mn4PvF8tSQqAOSeDY+vmYS3KJzi2Cc36jkRrCHbSSwBvMeecpCj9CBpDMJEt2ju972cLgbXJ/wTu6TmGzaKWI9v4FeQdBl0IdLke+jwCUV6s1Rl7YMZNcGJzxTFJD73vgxHv+O4yrijwdTc4uQtwkWtGHw6PnwiUKTsLMc+aRe79D6ieDqfU7ZaaNCH2v3+cinDZYqH4vznYU1IQw8IwjB2DpkmT0zjzcw+5qAjbnj0gCGg7dUI8i70QAgI8sCCf1yiKQu6xfA6vOcqm33a4bDfkkX4+i/Ads/ay9sfN7hsJcPOkKzGE1d/4oADVSd+xhqVv3O62zUWPf0bT3sPLf5dlB9t+fY/9c38FFARRQnHYkfRGet36PIlDJtR6XqbMVLIObkcQBGLb9XRZs/tcoTD9KFt+fpO0bSvKM7kGxzah81UPkDDwsjM8u5oRWJv8T+CeBgCgIBWOrIR/7lIt6dXEsgBdboAJk3zrN2M3fNnJc7srp0PHK3zrO8AZRS4qIr1bD5TiYuflOSWJ4BuuJ+LNN6ocNs+aTd6TT6IUmUCjUYW7ohB0/fVEvP6qy/JgvsyrZNUqFIsFbdt2aDu0r1V/9R3ZYqHgrXcwT5mi/i0AITiY4JtvIuyJxxF0nj1c6xuBMmQBzluObUlj3c9byDmS57Htuh+30HJAC5/c0bMO5XhupICloNitALearSStSCEvtQCtUUtiv/iA2/oZ5uDCaaqAlp3EIQKCKHFwwbQqAnz7lA/YP+eX8t8Vh1pT1lFiYf3Xz6ENCqHZhRdX68thLaGkMBdtUChao3NLeUlBLuu/eZ7UTUupcMkUiGrZifaX3E7T3sPKs5fbLCZSNy/FWphHcFwTGnUdgKg5+5IEFWWksuD5q7GZCqs8GJkyU1n3xdNYi/JpO+amMzjDAAEC1AtyDsG8h+DAf7itV4oCO36Ffo9Bw67e95+d5LmNIEJhmvs2skOd49GVgKDGl7caFShvdgaxzJqNYrG4buBwYP79D8JeeL7cGlu8dCm59/+voo29on68ecoUACLfeataV4rDgZyVBRoNYpTzRL2Kw0Hh+x9Q9O135UIUQGrWlOBbbib42msRw8PL25asWIH9cApiaCiGEcMRIyJ8efn1AsVmI/vGm7Cu31DFA0ExmSj66mts+/cT/dOPbsu5ne0EBHiAc4aU9ceY/9Zyr9tb8otJ25FOsx7uS1CUITtkjmw47rmhAMZw12UpDi4/zPLP1+GwOhAlAUWBLb/vpMWFTRn66AC0hsDH8kyQfzzJpfgGUGQH+ccrHsqK87NLLd+uENg+7WOaXjACFAWHtRiruZDdf33F4eUzcdhKQBBo3GMwna+4v0rZM3uxmUWv3ERh2mGqPFwqCjlJO1n90cPow6PpNPE+8o8lcWjZ38il/aEo6MOi6X3Hi4Q1TuDougXYLIWENmpB8/5j0QWF1uIu1S07fv8Ea1FB9bJApWyb8j4tBl6KPiTi9E4sQIAA9Ye8I/B9H7Dk4F58lyJqYPskaPiB92Ns+8lzG0WGUDfPDyd3wW+XQF4KiFpAgTXvqVnWr/sPYtp4P58AfsOenAxabZUyXaeiFBcjp6cjJiQAUPDu+9Xd1csbK5inTCH0wf8hNW6simhBwPT9DxT98CNyRgYAmvbtCf3ffQSNH1/l8rwXXsQ8aVK1t7Lj2HEKXnuDgnfeI/imG5GaNaXo8y+QM7MqapLrdITcfRfBt99G8azZ2I8fR4qKwnjZpWiaN6/VfapLLLNmY127zvlJRaFk8RKKFy3COHLk6Z3YaSTwpB/gjGM12zi47BDJq45gNduIjA+nw6g2NGwf63VJJ9khs+LL9eovPgRV5BzN81qAp2w4jtXs+gu7jKY9GpWXKjuV49tOsOTD1eW/y46KyR7ZmMqSD1cx8tnBXs0ngH/RBYV4bKM1VrQ5vnExisO1YAeFwrTDrPrwIdK2Lke2WUsXTfWc2kThxNYVpG9fxaBnvqVhpz4AHFo2g4Ljybh7M5fkZ7P5x9dOGVJtX1KQzaoPHwJUyz2CgOJwsHXS2/S+42USBo33+FpPNyWF+RxZ9S/uXrPssHNk1X+0GXX96ZtYgAAB/IMsw8H/YMv3qigNaQRdb4IOV4DGB3fTpS+q4ttZ1nSn49ohfbv3/Zuy1Hl6QhMEbcY5P1eUAT8PhuK80jlUenbIPQw/D4L794Ixwvt5BfALQkiIcyHtrB1gP3YM2w7X4Yxl5D35FLbde5AzMysEciXs+/eTe/8D2A8dJuzRRwCwJSVj/sVDeITViun7H6oeK+vbaqXos88p+vwLdUxJAtlBwbvvEXTD9US8/hqCpv5JvYKPPnbfQJIwTZl6TgvwgA9MgDNK/olC/vjfP6z6ZiMn9mSQfTiX5JVHmP3MAlZ/uxFvUxQc33YCS16xT+IbVMtzQbqH+qOlnNyXiSh53hAoSC3EVmx3em7Tb9txtaegyAop64975T5/prBbHRxYdog1329i3S9bSNt10uu/UX0nvu8YXP5xAASR5v3HlP9qNRV4lRgsddNiVXxD1Qy/pSiyA9nhYO1nTyKXurAnu0gEVxMU2VHqGq/gsJaw7stnSNvqvafI6WLLpLfw9AEWRAlTZurpmVCAAAH8h70Epo6D3y5VXbJP7oBDC+Hv6+GHfmDJ9a6fkiK1bre34ruMw0tgz1/etU3fqop2T8hWyDno/Nzmb6E41/k8FQcUnfTOyn6mUBQ4vAwWPgXzHoEdU8BW7PGyswHjmNHgbvNcFNH16okUGwuAnF/guVNFoWT5ClV8l/5ejVLRX/jBh9j27QPA/OefqmiuLYqi9m+zgUONTTdPnkL+6294vvY0Y1m4CEdKivtGDgeOI0dPy3zOFAEBfh6jyArmXAuW/OIzIqIUWWHua0srMpQrFccBds85wN75Lha3UmSHzLEtaexfcqhGc7AV21n93Sav2oqi6JW+LzhZxK5/91U7bs6zcHJfltPv5TIEUeDQmiNezed0k7Yzncm3/cXSj9awe85+dszayz/PLeTvx+ZiyjGf6enVmsQhEzCER6sW41MQRBFdSBithl9dfiy0Ybxbl/UyFC922lFkivMyObFtJQDFeZn4vJvkLYLIzumf103fNaSkILfU+u0eRXagC7ifBwjgO5ZcKEgDhxfCsi5Y9DQkz1d/LhOlZaEm6dtg1m2e+0jfDus+qmpN9oVZt4HVi7VK8FIQKTLM+Z/zc7t+cxlKU3qxupFQHylIg296wi9DYO2HsOEL+PsG+LAppNS/zVtf0bZrh2HkSNdx+IpCaKmFGkDTpLF3Itnb5+hS6y5QYS2vCxQF008/48jxInfRaaTQk/UbQBAQY6LrfC5nkoAAPw+RHTI7Zu9l6p0z+PWWv5h0059Mf/BfDiw5dFqF+L5FSeSnFrgs6QWwfcYel3M6tjWNqXfOZM4rSzi0qmaiVZEVjm5OxZTteVFu0rUhisOL+6PAnrkHqh22Wbx48BG8bHeayT2Wz5xXlmAtUi25skMpvxfZh3P578XFOOxeCM16jC44jGEvTSI4Ti0pIkgahNIkZ8aohgx78RcM4RULQuOeg9GHRgL+WTwFUSL/eLI6XmSc3/qthiKTk7wLc3Z63fRfA9K2rfBqMwNFoXn/sXU/oQABzhUOzoUfBsA7UfBhE3i/ISx50Tsh6i9yU1QR50qQKg7YN0t1zXZG3hH4vp9aFmzpizWchAIlBbDHC++iJheANsiLLmU4ssJ5wrYSL6ymxfme25xu7FaYNAxO7lR/l+0VGx7FuTB5FGRWNzCcbUR+/imGESPUXyRJjQkXBASDgchPP8EwaFB5WzEyEuPYMf6xVAM4HOUWcCkuznvhXhPsdooXLqy7/n3EkZmJbbsX4SCKQtDEiXU/oTNI/QsMCFCnKLLC4g9WcWjN0SoGttxj+Sz9ZA25x/K58ObudToHc66FJR+tJnW7ZwFQkF6EKdtMSIyaKdqUY2bvgiSSVhwmP9U713GPKKorfHC0+wW3SdeGBMcEYcry/OBSlGVGkRUEsUJEBUcZkXQSDqubRF8OhSIvNgNON9tn7lFFt5N1QpHVsm9H1h8jsX/9TfrhDWGNExj30VxObF/Fyd1qToHYdj1p3GMQ4imWcUmj44K7X2PlBw8CQtWHSyfxX55QFBmtQX0Pthx6BZt+fL1Wr8UTNoupTvv3BXuJm4y0lWjUfSAhcYGaqwECeMWmb+Hfu9Vs3WVYsmHlG5C8AG5eAjovhGZNcdhh4ROw4XMvXLoVOLwUItWkV9gsqoV46w+QusE7l3BPiFrI3u+5nT4EOl+nxqp7Q04SRLeqeiy2AxSecO8qbytSBa8v8e91zb4ZkOVCYCuy+ndY+yFc+u3pnZefEYOCiP7xe2x792L5bw5yURHali0xjr8MMbR6otKw556lZPUa5Lw89+7r3iAIiKXx5UFXXknhp5/Vrj93iCJKYVHd9e8jitm751shIgLj5ePrdjJnmIAAP89IXnWEQ6udxFWUaoVtf+8moV8z4lrH1Mn4VrON2c8uoCDd+y+EMgt52q6TzHl5CQ5bLb/8nKA1Ov8oWPKLsRfbMUYayUrO9spSXkbKhuMk9GlW/rtGr6HtsJbsmXfArXfxoVVHODa8Jc26e5cc7nSQvOqIW08F1XX+6FkvwEF1N2/cfSCNuw/02LZp72EMef4Hdkz7mOyD28s6ILJ5O3JT9vg6Mk16DQUgYfDlHFz0O/nHkjy4MdYMUasjKKYhAA67lSOr55C8eDrmrDQM4TEkDr6chEHj0Rj883BuzjnJoaV/kXf0IBq9kaYXDK+yqRHetJWHHlR63vKcX+YTIMA5T2E6zLlf/fnU7xBFhrSNqjv3wDr8TP17N2z9Ca/DacrmWXRSjQvPrVlomdv+dS6qQJQUgTkTjFHq7wfmeN/v1h+g9aiqx3rdq25yuKPwBCx5Di5+z/ux6po9f6kbNq7WHdkOu38/6wV4Gdr27dG291xvW9O0KbFz/iX/9TconjO3XIRr2rXDvs9HjwBFwThW9eTSJCYQfOstmH762depe4cso2nVsvzXktVrKPrlF2zbtoNej3HMaIJvukl1s/fHcBYLlpmzKFm9GmQZ3QW9CZo4sXxTQ2rQACE4GMXk3gAQ+tCD5SXgzlUCAvw8Y/fcAwii4FJMCaLAnrkH60yAH1iSTH6a95ZrQ7ie4OggirLM/PvCIrcisBoCXq37IbHBxCREVTl2bGsam6ft5OQ+NaGGxqDBEOrbLvXyz9cS37MxkrbCctrrui4cWnOE4vwS19MWBbbP2FOvBLijxP2mhyIr2Cw1jMs7y2nYqQ8NX5+GKTOVkqJ8gqIbojjszLpviHfx36UkDplAULQqijV6I8Ne+oWN377MsfUL8Gc8uCBKtLjoMrSGYGzFJpa+cQfZB7aVP3SZs0+Sc2g3B+ZNYdjLk6q43deEpIW/s+nHV0FRX4UgCBxePoOwpq0Y8twPBEXFEduuJ6GNEyhKP+L0ngmiRMMu/QhtGF+ruQQIcN6w7Sf3m3eKrLqFX/Rs3cSgZu6DrT/6dk2zfur/3/eDPD+Lb1Ct0R1OcWvNToJlL8HuP1RxKYiq9brIQ33vyuz5E1I3QZNeFcfaXqr+2z/b3YRg45cw6EXQ15PykNZCz5u+tvrnpXc60DRtSvTXX+HIycWRloYYForUrBkZIy7Gvm+/115vYrNmGMdVhFKFv/oKYlQUhV9+CRY/JroTRaSGDdFfdBGKolDw5lsUffmV6kpfuoFQ9NXXmH74kegpv6K/8MJaDWfdvp3sG25Ezsktj6+3zP6HgrfeIfrHH9D374dgMBB07TXqhoMLTwIhJJjgG879SieBGPDzjNyjeW5FrCIrZB/xMhtpDdjtJDbaHYpDQZEV5r+1zCfxLQiqy/jwJy+iw+jWbsNpe1zViYPLDrP2x81smLyNTb/tYM7LS8jYn1nexl5spyjT7JMOKim0Vqsbbgwz0LhTA7fzUWSF1O3pyI76E1Md1jjU7ZwFUSCiWfjpm1A9JDi2CVEJHTCERWGMjCNh8ISqrp8e6DD+riq/60MiGPDox1z25RLaX3p7rYUwqELWGNWALlc/CMCWX94mJ6m0vEr5Q5eaqb0w/Qhrv3i6VuOlbVvJxu9fRpFlFEUGRS6P9S5MO8zyt+5CkWUEQaDv/95F1OqrJcETRAldaAS9bq9p7GeAAOchmXvwmEei6ARY68g91VfxjaAK4FXv+i6+w5rCJd/BeDflnAQROl4D+Udh4dOw4AlY9wl82wt2/V7h4q7IkLHLt/FFDWz57pRjIrSf4PlamxmOrfFtvLokpj0I7mxzAkS1Pm3TqY9IUZHoOnVEEx+PIAiEPfSQTyFnIbffhmAwlP8uiCJhjz5Cox3biXjrTTSt/XB/JQkkiciPP0KQJIr//U8V31BV+DocKCUlZN98C3JhzcM6HdnZZF1zHXJeaV4DWVb/KQqK2Uz2TTdjP6p634Y9+ohqlT81CZ4kgSgS+fFHiEF1GBpTTwgI8PMMjd6D04MAOqO2zsb3xfUcoKTIyr6FSWQl+ZbFUVEgvmcTSgpKMIYZaNQhDlCFoiiJIIAoibS/uBXrft7C0k/WsOvffWz9axebp+0o76M2CKLg9PVWjgt3+xp8sfbXMZ3GtHG7+aDICu1HeOdGfL7Q69bnaVrqUu4RQSR142Knp4KiG9Lt+scZ/81KLn7jdy564kuaX3Spz/MRNTpaDruCkW/+gTEihpLCXA4vn+nSSq/IDtK3r6IgzUViJC/YM+Mbl6XaFNlB3tH9pO9cC0B0y06MfHM68X1Hlye/k3QGWg67klFv/UlIXNMazyNAgPMObbBny7Yggsbgvk1NSVnmW3tBVF3i133s23WiBppcCIZwyE+BTteApEdd5LUVGc1bjYaMHTBpOKz9QBXf8x6GknzfS5qdimyHLCex5d6GD/kjvt1f9LwTFA/zueD+0zOXswTjJeMIe/EF11nVKyOKlCxe4vxUUBDBN91Ig2VLaLBqBdG//Ezoc8/WKPmbfuBAYmf+jb6/6lVS+M03rucnyyhFJsx//e3zOGWYp/6GUlTkvL66LKPYbJh+/gUAMTyc2JkzCLnvXoTwUsONIKAfNJCYv//COHp0jedxNhFwQT/PaHlRc3bO3uda3CnUWRxvQXohso+ZsgVR4MBS3wWAIAms+2kLiqImQlMcCpJOpGnXxoQ1CiE0LoTI+HDmvrIUufQLQ/Ymw7kPKIqCLrj6ZkZc6xiSPWRtD4oykpmUQ4N2MQh1VaLCB9qPbM2htcc4sftkVSFe6ubf+/quRDQ9vy3gpyLp9Fz0+GccWT2HNZ8+5ratIIoUF7jfZBIEgehWXQBo2msILQdPYNVHD2MtyvM4l6YXjKDv/95Bo6+IqcpO3lVaH9w9mfu3ENY4wWO7U7EVm8jct9ltG0HSkLp5KY269gcgvGlL+j34Hhfe8zo2SxHa4FCk+pSgKECAs4X2E2DzN67PCxK0GQtSHW24Z/vm7YbiUOOPrT5a4WS7Gmu99y9VjJd62tC0LzTprcZ0t7kE/rgC8o9VXONPBLEidrwyjXt7czGYMtQ66Rq9f+dVE2Lbw5BXS7PNi0Dl5KIiNB8EPe48U7Ort4TefRfGcePIGDQYxeImqags48jMdH2+FE1CApqEBAzDhxF85RVkXX8j9t273V8kikhNmhDzxzQ08RXhWorDgW3rNvfXCgLW9evhlps9zs0ZlnnznIvvMhwOLHPmEv7iC+pUw8IIf+Zpwp58Ajk3FyEo6LywelcmYAE/z+g0ti2STnJqhRVEgeBoI60H+f6w7Q1Fmb5nXVZkpUZJ18pc11EoL5flsMoc2XicmMQoOl/Sjr3zD6olzuqq3LIgkNCnesxqm6GJaly4G11tzrEw6+n5TH/gX7IOnfkajpJWYsxLQ+l5dWf0oRUPCZHxEQx7rD89rup8BmdXv2nYtZ9LK3AZiuwgONa3mP/IhPbIDhvu3kiSVk/HCffQ/5GPqohvAMHLMmfetjsV2Wb1sl31fAiSTo8hPDogvgMEqCmJw6FRT1WUVqP0Mz3gmbobvyau7Q7vvjMqKH0dZaJdtldYnVPXgzkLBr8E6Vsh77Bny25NUWTofG314w06QfxFHly6FbU++QeNYZsbF/rTyaAXYOJUiOtQcSwoVo1Vv2Fu/craXo/QNGmMpk1r95ZwSULT3LdcJlJsLFJ0lPt+BQHDqJHE/vdPFfFd+bxHamHsUYpd5zUqb1NSvY0gSUgxMeed+IaAAD/vCI0LYdyrw9CXJhQTJQFRUj90oQ1CuOT1EeiC6mZH3BDmu6ubIArEtfE+IVxwdFC5x5krNkzeht1q5/C6Y3Xq5t1pXFuMEdVfsyFUz4gnL0IQBQTJ/RdeXmoBs59dQH6aFzVFK2E128hMyiY7JddvseQanUSva7ty488Tue678dzw0wSu/GQsrQbWzYbNuYI+JIKmvYdXi22ujChpad5vjE/9Hl4xC3uxGZc7SIJITNsedLn6oWol1ACiW3VG9OJBKrZ9L49tnKELDscQEeu2jeJwENGiXY36DxAggBtEURVLjXqW/q5RXbIRQGuEq/6EZn3qbnxnFmF3CCLEdVKFnjdogyE8HpcbkIoMO6eqyeB2/+FTPg6fEDQQ1xnajXd+fsKvENIAjw8mlhyYeTPsmOrb+LJDrdmdtlnN5O4vOl8L9+6Ax9Lg4RT1/8Ev1Q8rfT0m+PrrPVqCg6+7zqc+bQcPUrJipft+9XoiP/kYKbp6rhhBktD17OFewMsy+r59fZpXZXRdu7p3lZckdF0ChprKBFzQz0MatI3lhh8mcGjNUU7uy0QQBZp0bUR8z8ZqfHQdERkfTniTUJ/rd/e4shPZKblkHMhyqTWCo4O4+OmBHNl0nC2/u0+gYsoyk74vq9wy7guCKGAMN1BislbU8y51wxYlAVlWEICO49rR55YeLvtp3rspEz8cw87Z+zi05qjLDOKKrGAvcbDlz10MebCfx/lZzVbWT9rG/sXJ5fMLijLSfWJHOo5t6xd3dkkjEhoXUut+zie6XvsI6TvXYi82lychq0z3G55AFxzmU58nd693772hyGTu2+TytC4knMTBl5O8ZLrLzOONul1Unnk8/9hB9s+dTOrmpSiyg+jWXWk76gYadnH+vhREkTajrmfH7584T6ggCEhaPS1qEM8eIEAALwiOhTvWwpGVajZuuwUadFFrXNd11u1uN8Oa971vr8hw4YOQlwLLXsb1xqIEV/8NoY3guwvc9ylIasms4vyalXMUNepGgimjtL/S8lyiRv1OUxzQrK+6meHKlT+iOdyzDTZ+AVt+gIJj7sdc8Dh0uhrcbNgC6vjrP4PV70BhacZ2jRG63wbD3gSDb+uJUwRBvc8BvCboiomYpv2Obdu26oJZEDAMG4p+6BCf+ixZvUb9W7hLTFRcjG3nTpeZzEPuuZucO+5yeg5RRAgNxTjhcgAcOTmYJv2K+c8/kfPy0MTHE3zjjQRNnICgc75pH3zzjZh//931/BwOgmvo3n6uEhDg5ymSVqL1oIQ6czd3hiAINGwX65MAv+jeCwiJDWboI/2Z9cx8LHnF1dbl4GgjEz8cg6WgmK1/eoiRKcVhtRMUacSc6yZWxwmKojD00f7EtY6mKNOExqjFEKLj0JqjFJwswhCqJ7FfPMHRnt1poltEMvjBvuhDdez8Z5/LDQFFVkhansLA+/ogaVxvkNiK7cx+diE5R6pmujfnWFj93SYK0ovod0fNrJnnMrZiE6aMVCSdgZAGzeok5j60UQsufn0am356nZOlSccAgmIa0eXqh0gYeJnPfaqi2f0mkizL5B09QGijFkja6gtn95ueoiDtEBl7NlY8XJYu9GFNW9LnvjcBOLZhIas/flTNaFq6gXBi6wrSNi+l4+V30+Wah52O327craTvWEPG3o1VHh5UbwCFvg+8iy6onpTfCRDgXEQQoMVA9d/pJHGEbwK84zXQ5QaQbXBkBRx2kpRS1MD186D5APiik+c+BRGK89SyYic2+xj7LUD/J2HwK6X1yBWISIDDSyB1gyq4W46Exq432ssJjlGtx037wuSR7tsWnVBff4IHkTbvEVj/SdVjdgts+hqOr4VbV4Au2PPcziMUux17SopaG7t5cwS9/635gl5PzLSp5L/2Oubf/wCrGlYhBAURfPNNhD35hMeQtOoTV7zKCmxPPoS2bVvEiIhq54yjRxP6yMMUfvRxlTJkiCJCkJHoSb8gBgdjT0kh8/KJyFlZ5RsItvwC8h5/AvMffxA9dYrT+ty6rl0JffwxCt//QLW0l20+lP4cfPtt6AcP9u11n+MEBHiA04ovic46jm1D+4vVcgzhjUK54uOx7PpnP/sWJVFcWII+WEezHo3pcVUnNEYNq9/f6LVLeXjDUDqOacOmqdt9ynbeZkgikfHhaI1aIuMjyo+3HdbS+05OoTi/xGMcumyXsRfbkEJcLxi75+wnOyXXZV87/9lH22EtiU6IrPFczyVKivLY8dvHHF4+E0dpHHJo4wQ6XXE/LfqP9XC174Q1SWTo8z9SlJFK0cmjaI0hRCV29H0xLkWj8yKkQ3Yw94nL0AaH0WbkdXSceG+VuGqN3siQ537g2IaFJC+ejinrBMaIGBIGX07z/mPR6AyYczJY88ljKA4Hld9cZUJ894xviGnbncbdB1UbXtLqGPzsdxycP5UD8ydjykhFECWa9h5G+0tvL08qFyBAgHMM00nv28Z1homT1Yd1UQ/Xz1HLmG38Qs0uLukgfoBqIU8Yotbtzk3y3K9sh8hENUv6tp98m39sB+hyo2qJjmlTcbz1KPVfTTB7Tr4FVFjcXXFiW3XxXYbigPRtsPEr6P+4L7M7Z1FkmaJvv6Xo62+RSxOgCeHhhNxyM6EPP+TSqltTxOBgIt9+i/Bnnsa2ew+IAtrOnRGDa7YhIrXwLjFy3hNPkvfMsxgvGUf4s88iNa7qvRD2+GPoBw/G9Msv2LZvB4MB4+jRBF93LVKDBiiKQvZd9yBnZ1e13pf+bN20mYK33iHi1Zedjh/2yMNoO7Sn6OtvsG7cBIqCtnMnQu66E+Nll9WLhML1iYAAD3Ba0eilaok1nSEI0H1i1R3uoAgjPa7qRElRCfsWJVNcUMLBZYc5uPxweaZzbwiJCcIQbqDzpe05vO4Y2YdzvRbuB5Yc4sDSQzTv1YQ+t/TwS+bv4BjP1nKNQYPWQ3m4PfMOuhXygiSwd2ESA+7yJjPruY3VVMDCF66jKP1oFZfwwrQU1n76OJacDNpfcmudjB0S14SQuCa17ic/1YsH0FJspgJ2z/iGnORdDHzqK0Sp4qtf1Kjx565i0JMXTy+9R87fXIIose+/SU4FOKgivN24W2g37hYcdiuiqKnxpkOAAAHOErQ+JFUa8FRVl2uNDnrdrXrkLHtZFa7J89V/kh4cnhM+AeqDROMLoOkF0OcRtcxZWcyYJzJ3wxftVZf9oa9D20u8fz2uCGvmn3Zbvle9AVxZ9BVZtYQHBDiKopD72ONYpv9ZxYqs5OdT+OlnWLdtJ3rSzwga/8shMTwcfb+ax1WXYduw0fvGdjuW2f9Qsno1cf/9V02E63v1RN+rp9NLrZu3uM+0LsuYp04l7KknXG4mGEeOxDhyJIpdfW/WxX09Vwg8BZ2D2EvUBGN7Fxzk+LYTfkvC5Q9aXNjMo/gGtezVqW7cskNm7utL2Tv/YNVyZpUynXtDUZaZKXfMYPfcA7QenECjzg3UjQFvUeDo5jRmPDGP3GP53l/ngrbDWrrdABBEgXbDWnqMzy/KcJ9lXnEoFKT7WOLlHGXPrO8pSj/iJB5b/Ttsm/I+5hwfLDinGdlhJ//oQd8uUhRObF/F0bXzfLosc/9ml7XCQbWEZ+3f4lVfkkYXEN8BAvgLRYGUFbD5e9j9p3+TcNWWxOHe1RiPbgMdrqh+fPW7MOf+6lZjb8U3qPfnh77wz91qgreOV6sJ0Xzh5E747VL/ZCiPHwARLXBduUKAyJZqXLk7cpI8u9Pnpfg+v3MQ65q1WP6Y7tyFW1EoWb4cy6zZp39iPlDiiwAHcDiQs3PIf/ddny6zbtrksZa5YrFg27vPY1+CRhMQ3x4I3J1zCEVR2PXvfjZO2V4lqVdwTBAD772Q+F61t7rVlmbdGxOdEFktTrkyzXs3od+d1a20KRuOk7bDP6LIXmxn/c9VRUNYoxBCY4NJ25Xh0SKuyAq2Yjtrvt/E2FeG1Wou4Y1C6TK+PTtm7q12rizpW7crOnrsRxukwWpynsytrC99iPeuVkWZJg4uP4w5r5jgSCOtBrUgJObsjylTZJnkRb+7FZWCAIeW/k2nifeexpn5gCDgtSWnymUiBxf8RosB47y+xlkG9Wr9BkR1gACnl5QVavmq3OSKY9ogtbTYwOdqVVLILxjC4cKHVCHt6nsqtAncvLR6Zm1TFix5wQ+TKB1387fqv7LvTH04tBkHO6d438d/96m11fW1SEAqijD2S5g6rrTbyvdFUGPWx37p+W8XFK0mmFPclGjV+5CEraRITVaXsUt9D7W7HJqcG/liTFOmVI15PhVRxDTpV4ImTji9E/MFd9nFXeFwYJk5C/m1VxFDvcuzIng5jlCHyZrPJwJ38Rxi5+y9rPl+U7WM2qZsM/NeX8rxbSfO0MzUzYETuzNY9e1GQhuEYAgrXXBFyjeDBVGg3529GPX8EKfJxvYtTHJav9xfFJ40cWK3Z/FdhiIrHN92okb1zU+lzy09uPDm7tUEctPujRj/7kiCozy787UenOj2/iiyQquBLTz2oygK63/ZypQ7Z7Bxynb2zDnAhl+3MfWOGaz/dataO/0sxmYuxGryVNZNoOjk0dMyn5ogihJxHXr7LHwVRaYo/YhP1zTo3M/tA6EgSjTs7DlDf4AAAfzE8Q3w6wi1tnVlbGZY+oKfxGstyEmGxc9D3hGIKSszKJaWAiv9Lmk/ER4+AmGNq1+/6zf34rLGlK5dJfleiu9K2MywZ3rtp9B6tBrjHnNK+cXY9nDDPGh1sec+Ol3j/v4IGuh6o3fz2TsTPmgEs++ADV+oGybf9YZfhoMlz7s+6jG2g0muxTeALGM/dOj0TagGGAYP8miZdorNhiM93evm+gH93Zc6A4TwMLTt2/s+lwDVCFjAzxGsZhsbJm93flIBRYB1P2/hio/9n1zKE1azjQVvLyd1e7pa97qSfotNjCYyPpzohEjaDEnEEOo6yVhRpqlO63YrsuKjPVGlIKOIkNjaWYYFQaDbhI50vqQdJ/dnYbc6iGwWTqgP/Xa5rD0HlhzCXmKvdp8EUSC2VRTNujt52DmFrX/uZtvfahyQoihUvivb/tyNPkhHt4meLfLeYi+xkJ20E8VhJ6JFOwxhPtaP9RFJb0QQRbcWcAQBbT3Pzt3+0tvI2LPB5+u0PpY7SxxyObv+/AJ7icVpKR9FdtBu3C0+zyNAgAA1ZMlzav1nV6W1Vr8DFz7gu7t1bVEUNWZ7+WsVdbfLNu8imqtZwCNbQNebqyY2O5WC1FILb/0Jn0PUqBsL/qDVSLh/t5osrfAEhDaGhl2991poPQaaXKDW/j5ViAsS6ILUmHdPHF0Df1xRcZ/lSsablGXw++Vw8xK/eVMosoxtxw7kvDykZvFoWyb6pV93iJERHkt4CWH1e60PuuZqCj/+BMVi8SiQT8Vb6zeAtn17dP36YV2/3vmmhSAQcvvtCAYvQksCeCRgAT9HSNlwrKIutTMUyD6cS+7x2scs+8rST9aQtlN1HVcciip0SwViZlI2jTrE0eXS9m7FN6BagethEkV9sHO37oKTRWz6bTtLP1nD2p82k3UoBwBbiZ2MA1lkHFSFdmUkrUTjTg2I79HYJ/ENENYghEveGE5IrGotF0Sh3CLepGtDxrw01GMcua3YztY/3ddR3/LnLuwlvpRzcY5st7H9t4+YcdcAlrx6M0vfuJ2Z9wxi7edPYS2qu/eppNXRpNew0lJYzlEcdpr3G+23Mcs2GbKTd+GwWf3SZ+Pug+h2vZpkx91rqYIgkuBj3W19SASDn/kGjd6Asw9gWNNWZB3cTklhrk/9BggQoAYUpsOhRe4toIoMu9zU5K0rNn8Hy1+lNDGL+q8sVjn/KMhWGPaGe/EN6sZBnVjAa4HiAEOE83PF+bDhS5h1O/x7L+z/R90gkWVI3wHH1qpu9ZURBGjUHdqMgUbdfBO5ogTXz1Xj7EEV3WKpPS08Hm5Zpm50eGLF62Uvrvo5xaGK8GNrvJ+XG8yzZnGyb38yx15C9vU3kjFwEJmXjce6y/3zRm0Juuwy9yW8RJGgiRP9Np4iy9j27MW6eQuOHP+siVJUlJoozmDw3hIuiuh690Jq2NCnsaK++gJNq9KqPqe8J4WoKOT8fGxJ3ieADeCagAX8HMGSV6xmAvdgIbbkFRPph8zd3pJ3PJ+Udcfcttk0bQdth7X06F7eZmjiGXWjd0Z441CimkdUOaYoChunbGfr9F0Vr0mAHTP3Et4klKIsM44S9eFCF6yl09i29Li6i9sa394S2zKaa78ez/FtJ8hMykbUiMT3akJUpZJp7kjdkY692L24tpltpO08WaucAoqisOazJzm2fn7VzKQOO0dW/0duyl5GvP4bWkPdxJx3nHAPaVuWoShytcVZEEUadOpDdOtutR7HYS1hx++fcHDhNBwlas15bXAYbUfdQMcJ9yBq3Ge290T7S2+nUbeLSFo4jezknYgaLQWph7GZC6slmBNECX1oBC2HX+XzONGtutC4x2COrplT7VzB8SS2TXmfXX9+waCnviauQyDLfoAAdYY3pawEybcyYP5AlisJOicoDtjzp2pFjvJQtrPj1bDgCf/Or7YoCnS8svrxA//B9KtVF/WyjdBNX0NIQ/XvUJiqHhM1arK5kR9CaKPq/fhKUBTcOA9O7oKkueCwQuNeav11b0Sa1QxJ83CbR0TUqH+z+P61mqrpt2nkPV7972ndspWs8ROInTUTbccOtRrDFcbLx1P4+Rc4UlOrW3UlCTE8nOAbb/DLWKbff6fg/Q+Q006U92+8ZBzhL72IFBdXq771ffrQYO1qzL9No3jxYhSbHcVswn4wqfoGQ6nFP/Sxx3weR4qJIfimm8l/6SWwV30WVLKzMf38C6YffiTs+ecIvfee2ryk856ABfwcITg6yCv37FMzi9c1Rzaleqz9Z8oyk7w6xWNfif3iiW0VXadx4L5ywY3dq72+Xf/uZ+t0dVe3zNpflqU9P7WwXHwDWE02tkzfxaL3VvrNvV4QhdL66J3pNqGj1+IbqJY/wBVWL9u5ImPPRo6tm+d0Z1qRHeQfTyJ5kR/i7VwQldCBQU99jT4kAgBBqiiN1bjHYAY8+mmta1bKdhuLXr6Rff/+VC6+QS0JtuuvL1n9yWPu3eC9JCK+Db1uf5GRb05nxKtTGfXO30S0UOMLBVEqt46HNoxn2Mu/+uTi77Bb2T9nEn/d0dep+C5HUbCXFLP87bux5HlZ6zZAgAC+E9IQj65gsh3Cmp6W6ZSTuRsK3G+2A7Doac9twhpD//okwAXoeafqRl+ZE9tg2nhVfKOo973M4l+UXiG+QT2+50/47kIo8lDn2xcadFLv1cDnVNd2by2kZXP2REntKqfIZjP5L73s4qSMYrWS/5qbjZtaIgYFEfPndLQdSuOWJQlKs3NL8fHE/DUdKTa21uMUvPc+eY8+XiG+QU2ENms2GeMuwZGV5fpiL5FiYgh94H/EzpxB3H//EDd/HkFXX6UKblEsf11CSAhRX3+F4aIBPvVfvGgxJ4cMI/+556qJ73JKNzEKXn8Dy/z5tXo95zsBC/g5QosLmqI1al0KKEEUiGsTTXij0xvr4rA61G0eD95kK75YT3zPpuiCXFsEJa3E2FeGsfzztRxe68VC728EEEUB2aGgMWjof2dvEvvFV2nisMvl4ttrFEhZd4yjm1Np3vs0PzSdQkRT7+KDI5vVzovi0NK/EETJSRmwUhRIWvS732OLS4ryODB3MsmLp2PJy0IfGkGTXkMJadAMfWgUTXsPJbxpK7+MtWf29+Qk73R5/viGhZzYvtJl/eyaEhzTiJFvTif74DbSd64DRSamXU8adLzQp00Fh93KinfuI33Hau8uUGTs1hKSF0+n08T7ajj7AAECuCU4Vs3gfXCOazdtSatakU8nNovnNqCK0JTl0MLD996wN9WM3Cve8K30mL8QtRX3t+ddMPrT6m3WvF/6g5eb57IdCtNUT4ExTvo7nRgjwRAJxW7cpBW5erI4HymeOw/F5CZRrcNBycqVONJOVKtZXRsUhwPz9OkU/fgz9n37EHQ6dAMvQtO8OVJsLLpePdFfdJFfKnjYkpIo/PgTFxNRkNNOUPjp50S8+nKtx6qMoNMR+cH7hD78EJb/5qAUFaFJTMQ4ehSC0ehTX4VffkXBG296f4EoUvjFlxhHjvRx1gHKCAjwcwSNXkO/O3qy/LN11c4JgirA+97W87TPK6pFpFc1um0WOweXHaLjmLbVzpUUlZCZnIMgCMS2iqb7xE6nXYCHNw6l07h2FBeWEBoXTGK/5mgN1T8+mUnZWPKLfe5fEAX2zj94xgV4bMtot2XiBFEgJjGS6BaRtRqnKPO4a/ENgII52/vsnd5gyc1g4QvXYc4+UW55LinIIW3LcvRhkYx47TdC4vx3//fO/tFjm4MLf/e7AAc1qV9Mm+7EtOle4z4OzptK+k4f4/8UmbQtywICPECAumT4W3B4CdiLnYvwoW+oLsqnk+g2IOlUV2h3CCKs+cC5AHfY4Ph61Tob2x76PQ7rPgHLaRbgY78CU4ZaSq39RAh3sS7s/dtzPe5TURyw9UcY+YG6UXKmECXofS+sesf1Ro4gQbebazWMIzXVfRmwsnYn/CfAFYeDnHvvo/i/OaplWJZRLBasq9dgXb2GqG+/xjDIf+tu/gsveZiQgmnKFMJffL5OamNrmjUj9J67a3y9be9e38Q3gCxj27wF2WRCDD77y9OeCeqFAJ8zZw4ffvghW7ZsoaSkhLZt23Lrrbdy//33Iwbqy3pNu+GtkLQS6ydtxZRlLj8e1SKSAXdfQIO2tXezqYzD5sBqsqEN0qLROU8CFd+zMUFRRsw5HnbHBTi29UQVAW4121j702YOLDmEbFcFk6STypOMnS4EUSCyWQSdxlbfHDiVmiYnU2SF/BO1c/XyF4Mf7MusZxbgsDqqiHBBFNDoJAb9r2+txzCGx7i3gAP60NqJ/FPZ8N3LmLPTq7l9K7KDkoJc1n7+FCNe9bE0jQuKTh7Dbiny2C43pXrt9/qAoigcmDfZffIaFzjstQtPqA/YLCbyjuwDBCJbtENjOL3fOecqgbXeT8R1hNtWqbWpj6+tOB7cAIa8Ar1q/jDuFFkGS44qsA0uvKSMEdD5Otj2C24twooMhxaeckyB9Z+q1u7yGHcBGnQBS7YfXoAP6EKhxx0geXg8VpSaW+ZtJvV+nu4s9afS/yk1YVzmnqoiXBDVv9PYL1SPi1ogRkd7lblbjPbfhpHp18kUz5mr/lJ5bIcDBIGc+/5Ho80bESP984xh3bTJc6PiYuT8fKToaL+M6U9Mv072apPEKa5c1c8SFIcD265dKGYzmsREpAan7zN5xgX422+/zTPPPANAYmIiISEhbN++nQcffJBFixYxY8aMwMLsA60HJdByQHMyDmRRXFBCaIOQWlsrT8WUbWbL9F3sX5yMw+pAEAUS+8fT86rORFaKNzblmNn1734cNi8+1AoojoovSofNwX8vLybzYHYVEeiwOshPPb1CVZEV2o9q7VXbyKbhanier7pFAENY/SjtEJMYxYT3RrHxtx2krDuGIisIokBC32b0uq6rX5L4tRh4GcfWL3B5XhBFEodMqPU4ZZiy0kjbvAxXfxhFdpC1fwt5Rw8QEe8hQ68342WmedVOPJMWEDc4SiyYMlM9NzwFQZSIrYXVvTKKoqjeCg4HQdENa52wzhvs1mJ2/PYRSYv+wGFVPVkkvZHWF19Ll6sfQtI6r3gQwDOBtd7PNOoGd6yBzL2QfVDN0N2sn2fh6At2K6z7SBXHhaXfaU37wkXPQNtLKrUrgS0/wPF1eLX4nbrxuuR5WHmqBU6BkztqM3vfESTvxDeoroUx7dT77+uCL4iq0D/TGMLgtpVq2bgt30FJgXq8cW8Y+Dy0HVf7IUaPhueeB5uLjVlRRNulM5oWLWo9FqjrhukHN95nigJWK+bpfxJy153+GdPiXfhFfbUUW7fv8F18CwJS06YIYb6VNXWFIycHJS8fMS4WMSTEL316wjT1Nwo++BC5rFa6KGIYMZzw115F06TmSYa95YwK8LVr1/Lss88iiiKTJ0/m2muvBWD79u2MHDmS2bNn8+GHH/L444+fyWmedYiSSMP2tcu46IrCjCJmPDmP4vyScmGsyAqHVh/lyIbjXPL6COLaxJB3PJ9ZzyygpMjqVXIxQYAG7Sp2Wg8uO0zG/tonrfAHLQc0p1l371yjgqODaH5BU45uTPUtqZoCjTrUzd+sJkTGR3DxUwOxmq0UF5RgCNOjC/Kf+GjcYxAxbbqTnbS9mkVaECX0YVG0vvhav42Xe9i7h6ScQ7v9IsB1oRFetWtQTzOGq25yvu8kKbJMqxHX1GpsRVE4vGwGe2Z+S2H6EQB0IeG0HnkdHcffjaRzX66wpsh2G8vfvoeMPRur1B92lFjY9+9P5B87yMCnvkL0tuRbgHICa30dEtte/edvHDaYOg4OL65ajzt1Pfx2KYz6BPo8qMZ+/zoSjq7yrl9BUmtYl5F7GFa+5aKxfxKTeoWggfBmcNGz3l9zwQOqF4KvNOyu1uquDxjCYeT7anm4whNq3H2I/55FpKhIQh98gMIPPqx+sjQnSXjpxpxfKC7GfuiQ+zaCgHWH/zZ3hJAQlEL3hiGxSeN6Wz9bMNRsTQ254/ZaJ6st2bSZwvfep2RV6feHVovxsksJe/KJOhXBhZ99TsHb71Q9KMsUL1qMdetW4ubO8bmEm6+c0e3m119/HUVRuOOOO8oXZICuXbvy4Yfqh/Xtt9/G5mrnLMBpZ9U3G6uI7zIUWcFhk1n84WpkWWbBuyu9Ft8AgiTSbkRF8qu98w/Wqua3Ri/V6HpJW/GR0Ifq6X19V4Y+2t+nL5kBd/XGGGHwOVv79ll7yE6pX7WUdUE6whqG+lV8A4iixOBnvqVp7+Gc+oeKSuzIiFenYAj3n6uWt9ZTf1lZI+LbEBTb2GO7ztc87JfxXJGbso+df3zG1l/fJXnJn9iK3STDqYSk0dGwS1+vE9SUZVrvedtztd7A2DHtY9Z//RyF6UfLj1mL8tn99zcse/tuHPaqMaaKopB39ACZ+zZjya15duGj6+aTsXt9VbFRMQgntq0kdePiGvd/PhNY689CNn1TWm/8lM9D2e/zH4HcFFj2MhxbjSqWvVjvFQf0ebji9+2TVItwjanJg4IImkpJqkQtdL0B7lgHwTHed9PjDmg9xvc5nNis3t/6hEav1g73o/guI/SRhwl76skKAVr6PCXGxhL904/oB9SuzFkVNBrPNdUFAUHrP48q4xWe64iH3lu3eVEcGRkUfvMt+a+8SuGXX2FP9c4LD1ATqXn7jFvazjByJMG31C4/QPGyZWRNvIKStZXCaGw2LDNmkjl6LPZj1XM92Y8fp2TDBmxJSSg1CJEDcKSnU/De+y5OOpCzcyj4yEVSPT8iKDV9BbWkoKCA2NhYrFYr69ev54ILLqhy3mazERMTQ0FBAfPnz+fiiy/2qs/w8HDy8/MJ85NbRIAKijJNTLljhsd2/e/qzepvN3rVpyAJoMDwJy8isW9FRvFJN/+JJc/3ZGZlNOnSgIKTRRRmmLzeRBc1Itd8fSklheoDfmSzcCStKixM2WZ2zdlP0vIUrGYr4Y3D6Di6Da0GJTit323OtbD1z13sW5SMvdiOKAk06dqIY1tcfykKokDT7o0Y8+JQ31/wWUxRRiond65Blh1Et+pCVIL/64HaLCZm3DWg3K3YGYIoMf7r5X4R/jmHdrPopRvcjtfuktvpfkPNLH6KLJO+Yw25KXsRtVoadx9EWOOE8vM2i4k1nz5O2pZlqjgWBBSHHY0hiD73vUWzC9Xv05zDe0hZOZvivGyMUXEkDp5AeFO1Ru/JXetZ8tqtuPsACaKEqNXSsHN/2o29udY1wHOP7Gfek+Pdtul1x0u0LrWyH1kzhx2/f0JRmVgXBBr3GEzPm58hpEEzn8Ze9PJNZO3brNaGd4IgijTs3I/Bz37nU79wfq9NdbHWl/V7vt7T08Jn7SD7AC4//4IEfR+DzV9XuC67Q5BU8X3BAzD6k4oH/lm3qyLc12RmZcR2Al2wapkvG8MbrpyuxtLbzBCZqGYFB9Wiv+1nVSDnpUBQNHS7BXrd61ycO2yw/jNY/wnkl34PNesHGbvc3xddCDyers79PEEuKqJ40SLkvDw08c3RDxqIIPnfoyjrqmsoWbfOrVt11NdfYbyk9i72cn4+meMnYD9wwGUbTbu2xC1cUOOM67a9eylevgIcDnTduqHr17fcKKQoCoWffErhhx+p7vVlsdyKQshddxL2/HMIoojj5EnM037HlpSEEBSMcexo9AMGIIgicl4eJwcMRC4ocH3PJEkNF2jfjuBbbiHoiom1+tspdjvpvS5AzspynmtGkjAMH0b0jz+o92D3HvJeeQXr6orEsJr27Ql/7hkMQ4b4NHbh519Q8M677nMTGPQ03r3LZ68FX9alM+aCvnXrVqxWKwaDgR49elQ7r9Vq6d27N4sXL2b9+vVeL8oB6o68VG8WWUjbmY4geM7fpDNqSegfT+dL2lWLUzeGG7wS4E7HESB150n1Z0VN3Oawuv4iFkQBRVYYeP+FhMaGEHpKzpHslFxmP7sQm8VWbtHPTMpm2adrSVqRwqjnB5cL9TKCIo30v7M3fW/rqSaqM2rYtzDJrQBXZIVjm9Ow5BVjjKifrkp1QUhcE0KGXVmnY2iNwbQZdT17//nR+RtTEEkYfLlfxLfDbmX5O/cg211nA27YpT/drn+sRv1nJ+9i9UcPY8pMVRPZKQpbJ71Dk15D6Xv/O2iDQlj98SPl5cMqJ7qzl1hY9dEjDHnuew4t+5sjq/5VF1FFAQT2/fMjrUdeR89bnqNBpwu58N432PDNC+U7zYIgoMgOguOaMuipbwhvmlij1+AMe7GZLb+8hSfX94Pzf6P1iGs4uHAam75/hSrWJ0XhxNYVzD+wlZFvTvcpq70p45hL8Q3qpkfhyTNQ/vAsJ7DWn4UoinvxDarQPbHJO/Et6aD5QFV8t72kqrUtyMskX07FtaDWHy8LC9EYweYu+WXpd0uXG6H9hOo1s0sK4ZdhkFaWVEuBknzVyr/xKzXxXdQp33mSFvo9Cn0fgeI89bUWnoDPPOSNsRbB/tnQ2X+hVvUdMSSEoPHj63yckP/dR8lqF+UzJQmpcWMMo/xTPivv+RexJye7PC9ERRE7c0aNxLcjJ5fc+++nZMVK9b0qCOBwoGnZkqjvvkHbti2mH3+isLI1t5KoLPrmW4TgYMSYGPJfeFH9XAsCCALmyZPRdutK9K+TkKKiiPl9GlnXXa8K4rJnAlkGg4HIjz8iyA+bFWUoskzBJ58iZ2a6buRwULxwEY6MDBwZmWSNvxzFWvWZyr5/H9k33kzUd99gHD3a6/Edx4+XZ8d3SXEJcm4uUiP/lcY7lTMmwA8ePAhAfHw8Ghdp+RMTE1m8eHF52wBnFo3ei90uBSSdxiuj85hXhrrMzN52WCJrf9ridv1vP7IVWck5ZCXnoqBUtD3lGnfiGyC2VTQX3NiNJl2qx3vIDpn5byyrIr4rj3F8+wm2/LGL3td3ddq3KIkYwtT4GlOOBVFS64i7w5xnOa8E+Omiy9UPYcpK4+iaueUZ2Mv+b9RtAD1vfc4v46RuXEJxnvv8BfnHk0FRyE7eycGFv5OTvBObxYQuOIywJom0GDCORt0HVos3Lkw/wpJXby63rFcW12lblrHivfvodv0TnNi20vnAioIgiqz76lksOeomlXLKjvfB+VMxhMfQaeK9JA6+nEbdBnBo6d/kHdmPpDPQtPdQGvcYjOjHZE+pm5ey5tMnsHvhIl9w4jBWU0GpWIdTP/CK7MBmKmTHtI/p96ALNzMn6EMj3Ze+EwQM4ae5tNM5QGCtPwsRBNUl2e5mE1yQQONFHLOggYueg8EvOj/f+TpY/Y7zcwCiBhKGqUnLDvxTWubslMW+zHruVnwDQTFqlvied1cX3wALHocTW6j2EKHIanb26VfB3S4yXgtChRW90Av3X0GCAt8TXQbwjGHgQCLeepO8Z59T/84OR7ngkho2JOa3KX5xQXdkZWGZNcutpV3JycFxMgO5oBDz5MkUL1+BnJ2NYDAgNW+OYegQgiZOQAytmpRPsdnIvvY6bHtLK6VUEov2lBQyJ1xB3Nz/KPzoY7dzLPzsc5cJ8Gw7d5Fz623EzJyBtmMHGq5bg3n2P2o8tsOBrlcvgq6YiOhHDyP7kSNk33Qz9iTXmxblyDL2I0coeOttVXyfep9ldUMh76lnMAwf7vXfVIyM9GwhFEW/JZhzxRkT4Lm5aqxrpJsyAGXnytqeSklJCSUlFWUgCgq82IkNUGNiW8eolmk3da4FUaDj6NYkLT/sti99iI6YRNcPs22Ht2LXf/spyjRXiyMXRIHI+HD63dEbjU4iOyWXPx/6z7cXU4YIsa2iqolvW7GdIxuPk7brpOrG7goFds/ZT4+rOlWzgp9KUKQR2YuYeGN4QHzXBaJGS78HP6DNqBs5vHwG5ux0DOExJAwaT1yH3rVOJlJG1oGtCJIGxeHapdKSk86mn14nacFvVdw4zFlp5B3Zx9E1c4ho3o4hz31fxSq/d/aPOKwl1RLXgbqrnLFnI/v++wlBkqoJ64p2Diweaqzv++dH2l1yKxqdAWNELB0v93NZo0pkJ+1k5fsPOH1NzlAcdpIWT0d2U+5MkR0cXTefXne8hC7Iu2zDCYPGk3tkn+uFWVFIGDjeq74CVOCPtR4C6/1pp/0E2P2Ha9dwxaHGTZ/cDgVuPEMUO7Qa5fp8wy6qCN/5G9WEryCpFuVRH6mJ5hx2+LAZmNx/f7lEGwy97qlqgZdltaZ6+ja1PrcrF3bZrsZup26EJh5CbUK8SN6kOLxrF6BGBN90I/ohgzFNmYpt9x4EgwHjyIsxjhvrt2Roth07vcoebpr0C6ZJk9W2lYV0UhIlixdT8PY7RP/6C/reFe+r4vkLsO3a5bxDhwOlsJD8t95GdvOdqU7S5sJVVO3Humkz1k2b0PfujWA0Enz1VQRffZXH11QTZJOJrCuvxpHu/ee3ZO1arOs3uG6gKMjZ2RQvXYrRS+8p4+XjKfz0M9cNJAnDxSPqPGv9GRPgxcWqiNPpXCd30utVy6HFRYr/t956i1deecX/kwvgFEkj0uOqTqz+ztUOMHQY1ZqG7eOI792EY5vTXCZh63JZe7eCVR+s47K3RrL4g1Wc2F01sVKz7o0Y8nD/8trjRzellruR+4wM6Xsr3GAURWHXv/vZMHkb9mLvYtJKiqwUpBcR2cx9ea6W/Zuz5odNKC4s4IIo0KRLQ4IijU7PB6g9giAQ27Y7sW39UyrL+SDeuZolLfhN/cGF4Ms7sp95T19Bm5HX0aBzX6ISO5Ky6h+3tdMFUSLvyH5qlcEQsFmKyNq3hYZd+tWqn1MxZaVRmH4UXVAokS3aI4gie2aWJSPy8vOrKKRuWqJ6L7jZ5FAcdiw5GV4L8MTBE9g/91fMWSeq3WNBlAhp0IwWA/znhne+4I+1HgLr/Wmn3xOwezpOQ0JEDUS2VEW6ORvm3O+8D1GjZjxveoHz82Vc9hMYImHzN6WCv3TMqJYwYUpFlveT22suvgHyU6A4X61ZDpCyAmbcBPlHvLteEOHYWs8CPKYNNOoJ6VudJ3UENdt4u/FeTjxATdA0a0b400/V3QBeJto1/TzJvZW8sJCsK68m5I7b0fXuhWHYMMwzZ7p3k3Y4KFm+wrt5urP2ajQUz19QRfz7A7mgANvu3SBJaDt3RjQasfw9A0eqb14flr9nem4kijiOeh8epm3TBuPECVj+nlH93ogiaDSEPvywT/OsCWdMgBtKd6CsVtdxkmW73Uajc0HyzDPP8Oijj5b/XlBQQLNmviXeCeAbHce2xZJfzJbpu1SLYek6qcgKrQcl0Pf2XgAMfbg/c15ZTMaB7HJxLEgCikOhzdBEuk3s6HGs4OggLn3zYnKO5JG+NwMEgUYdYglrFFYl8ZnD5lA3+Gr4mkSp4kt017/7WfO9iw0GL/twhTHCQI+rOrP5t+rlLwRBTUh3wQ3dfB47QP2iQacL2f/fz27bCJIWRbZ7cINSsOSks33ax/Dbh0S37oqjxH29UUWWcdhsboWptzhsJZ4beUlB6iE2//wG6TsqEqgExzWh0xX/4/impa4fUt305801uhDva9Zrg0IY/vKvrP7kUbL2b62wkikKse160u+h99EY6knpoLMIf6z1EFjvTzuNusE1M1W3a5u5Is5atkN0W7hhnhr/3PteNV58/Seq4JbtqlBVZLXd1X97Hkujg7Gfw6AXIWmuOl50O2jWBzSVrJV2P3wniaWPvWmb4dcRviV/U5SK++CJkR/ApOGl3/FOvueHvQn601PvOEDdoOveHXQ6cPPdBnh2dwaw2Sj65hv46mu1FnZMjPsYZUAxm32YrZt+imue8PhUZJOJ/NffwPz7H1D6vS4EBxN86y1Yt2xxbY13gd2bsCRZVt3KfSDy/fcQgoIwT50KDrlKiELk55+i6+RZo9SWMybAvXE58+S6ptfry3fOA5weBEGg9/XdaDeiFQeWHKIo04Qh3EDrQQlENY8ob6cP0XHZ2yM5sjGVg8sPU5xfTFjDUNqNaEWDdjE+uftGxoeTezyfHTP3sPLL9QDEto6m6/gOJPaPJ7pFpMe4apevRxSI79WEE7szOLo1jR0z9vjcR3B0EKENvFtIe17dGY1OYssfO7FZKhb+sMZhDH6gD7Gt/Vd6K8CZoVG3iwhp2BxTxnGX1mrF4UO5pVKhmZO8qzxm3RWCIGDK8LATXPZw7L4R4c1cJxFSFIXsg9sw52RgCI8mpm13l/WxC0+ksOD5a7AXV31YMGWksv7LmtV/VWSHW48XQRSJbdcLY4QPJYWAoOiGjHh1KjmH95C5bzMCAnEdL/BLbfjzFX+s9RBY788IbcbA4ydgxxQ1Nlqjh9ZjoeXFFTHUggCjP4auN8Lmb1UxboiATtdAu8tVce0tIXEQ1xlWvQ1zH1TFcWgTuOB/0OchiGmrlgyTa1CuThBVa7wpAzZ9pWY5l+0+bv4pkDjcu6YtBsH1c+GfuyCvUkieIVKtud37Xp+mH6D+IYaHE3zddZgmTXIuliUJwWhEKfKQm6CM0jVNzspGzsp2bwEXBI8CvSzhmtt2djva9u3ddmM/fBjb3n0Iej26Phe6dM1WiovJuuY6bNu2VRlTMZko+uJLhNBQn8R3GWLjxsgnTri+Vq/HMMLLz2Upgk5H5NtvEfbIwxQvWoxiMqFp0xr9wIE1zlbvK2dMgLdurT7cHT16FLvd7jQ5y6FDh6q0DVB/CI0Loec1Xdy2ESWRhD7NSOjjvZXCarZyYOlhDq89iq3YTkxiFA6bgwNLDlUJ28pKymbReyvpltyR3jd0xRhZmjXdh8+2IICoETi05iibp+0EEfDNEAdA18s7IEpe1ksWBLpN6EjHsW1J3XYCq9lGWKNQGrT1bVMiQP1FFCUGP/01i1+9BUtOWfiEUi6eE4dM5NDSv3zut1x4u9lBdpfFu4yQBs2QtHoKUpOdinlBlGjQqY/LDOJp21ay+cfXKKqUEVwbFIrGGIzdUoQ+LJrEwRNoPeJqdCHhbJv6IfZis9uNA58QBEIaxhOd2ImkxX9UvxeCAAh0ufrBGg8RldChTsrhnY8E1vqzHH0o9L7Hc7vGPaGxD7WtZQcc+Be2/gyFqRDWFBp0hpVvlp4v3aAuTIUlz8H+WXDTYlXY75zqfbmxMhRZtaZ/2grVdc/HxV6QoOUIdRPAW1oOhweT4OiqipJmicPVjYwA5wThLzyH/dAhSlasqCgBViqctZ06Iefn4/BWgJchy+7FN6jrnqf4c52OoEsvwfzX3877EgSEoCCM4y9zern96FFyH38Sa+WM8jodUlwccmEBgk6PcfQogm+/HW2rlpj/+hvbli0u56sUFHh+XaciiYQ9+Th5Dz/qsknogw/UOFGc1KABwddfV6Nra8sZE+Ddu3dHq9VSXFzMli1bnNYG3bhRrSV94YUXnokpBjjN5B7N458XFqlJ3kqfqTOTs8vXycrP2WU/b/t7Nw3axxASE4wlt7objSBAcEwwphxzuau8egIErYiklcg9lq8e8+E7ocydvv2o1rQf2YrUHenYLDbCm4QR2dSz26tWr6HFhQH3yXOV0EYtGPvBvxxeOYuja+Zis5iIiG9Dq+FXE9OmG+k7VrvPuO0KQUDSGZBt1hoL2l63vUBQVBwLX7oBu8VUpR9BlNCHRdL7Tuextie2rWL52/dw6k6XzVyIzVxY+nMRO37/hKRFvzPwyS85vnGxZyuTL25pikKr4VeROHgColbHwflTURQZQRBRZAf60Ej63Pcmse16etdfgDolsNYHqIbVBFPHQcqyivJiaZth3wzn7RUZUjfAitdV67oz8S2IqsDWhYLpZIWnT5lbfFRrSFmO+t3ly059aT8NusDlv0LaFrXed3AsNO3rPJt6ZUQRWgwEBno/ZoCzBsFgIHryJIoXL8Y8dRr248eRGjQg6KorMY4ZTd5zz2M+dsyrZG1VkGXX66KX62XQ1VcR/sLz2A4mYduxo6rwLa3hHfn5p04t2o70dDIvHY+ck1P1hNWqlvFC/RSZpkzFNO13on/6AdPkye7n5rP4ljCMGknwlVeq+W2eex6lsLBio0OnI/TBBwh9qOab7WcSQVFq4A/gJ8aMGcPcuXO56667+OabqjunU6dO5frrryc6Opq0tDS3CVzK8KUAeoD6hcPm4Ld7ZmHOsfiUTE0QBTQGDfZiu9PrtEYNEz8Zi0YjsXdhEid2ZyAICpJWInV7Og6b7ybvyPhwwhuFIkgCabtOYi20Uflj1KBdLAPvu7CKS36AcwdFUchJ3kV+ajIavZGGXfp5neirjH3//szWX9+lJpkLIuLbENWqCykrZpfXGtcGhZYLYE/0e+gDmvcbQ1HGcfbO+p7DK2bisJagMQSROGQiHS67A2NkXLXrFEXhv0fGUJh+xKvFXxAlIhM6kJO8031DUcIQFklJQY5XmdCjW3dj2Eu/IGnVNcGSl0nqxiXYLEWENmpB4+4DETW1LzHjT873tcnfaz0E7ulZzcxbYfuvvluxNQb3pdEmTFbd3ndNg70z1LJkhig4vgaKarDhGdYMYtpBcBwcX68ma6vs/h7eHC5+Dzpe6XvfAc4K7KmpahZuRUHXuxea+Hifrrft3kPGyFE1cr0GCH38MUw//6y6pAPo9eWx1W7RaAi6YiKRH7yPbLFQ9M23mH6ZhJyRAaKI4eIRhP7vfjWO3Ql5L76M6eefvds4EAQEgwFFp4V899UpxOho5OxsrzYRhNBQ4ubNQdOiBQCKxYJlwUIcqamIUZEYR41CjIjwPL/TiC/r0hkV4KtXr+aiiy5CEAQmT57MtddeC8D27dsZOXIkJ0+e5J133uHJJ5/0qr/Aglx/UBSFvOMFFBeWEBobTEis+3T+yauOsOg9F7WLa0mTrg2Iax2LqBGxW+2k78ng5D73dZpdERRlpNc1XVj59QZVdDvbnBQFNHoNEz4YTUSTwPvwVKzmQk5sXYGt2ERYoxbEtvdfCTB/oygK6TvWkLxkOkUnjyHpDJizTmDOPlHeRtLqaTvuFjpf9YDLOOhTkR121nzyOMfWz/dxRgJNeg5m4JNfYjUVUHgiBVGjY/PPb5C517vkgUOe+6FKdnNZduAoKUajN7qNfcpO2smC5+qgPIkg0uWah7CZC0la+LvHjYSYtt0Z/vLk0xan5Q/O97XJ32s9BO5pvaIgDXIPqdbpuI5Vy3ydStFJ+LCpb8nPvCWiBXS6Vk0OJzsg5yDs+dN1IjS3CDD+F1j0pDpnd9dPmAxdrq/5vM9RFLudkpUrcaSmIUZFYRgyGMFNosUzje3AAUy/Tsa6eQtIEorJhH3//ooGgoBh+DAiPvwAKcp1Gd1TKfplEvnPPa/+4oPkEoKDabRvDzgc2PbvB7ud4iVLKfzwI8/9SBIhd91J+PPPlR9SFAXFbEbQ6dzWzFYUhRPt2qMUuSnBW22yAmJUlCquXSGK6AYMIOjSSyj84ksch92XKyY0lAaLF6Fp0tj7eZxhzhoBDvDGG2/w/PPqGzMxMZGQkBB27dqFLMuMHTuWWbNmIUnePdQGFuT6wdFNqayftJWcI3nlx5p0bUjf23oS3cJ5kp3ln69j/5JklyW66g1OKrI4bSYKJPaLZ/gTF9X5lM4WFFlm5/TP2PvPj8i2iqyhIQ2a0ee+t4lt1+MMzq46st3G6k8e4/iGhR6TnwG0uvhaet/+otf9K7LM0bVzOTBvCrkpe5HtVq8swPqwaMZ+9C/6kIjyY3OfmkBeyl4vro1i/FfLamQhPr5xESvff8Dn60IaNsd08pjr+HRB5LIvlxIUFYfDbmXzj2+QvORPt27rg575lsbdavbZkh12UjctIXXzMhy2EiJbtCdx8OVV6q37m8Da5N+1HgL3tF6QnQTzH4ED/1G+MEa3gaFvQMcrnF+ze7qaWb2+U56s0otF3xgNj6X5lnDuHMcydy55zz6HnFFR5lUICSHs6acIufWWMzcxFxT99DP5L7youkm7s/pKEpqWLYn97x/EIO+rYli3bKXohx8oXrwExWIBuxcbUIJAzIy/qpQIK3jnXQq//Mqr62Pnz6tRNm/ZYuFEKx8Tj4oimrZtsO8/4NbNPPKzTwmacDmKomCeNYu8+908U0gSwbfdSsTLL/k2l0pYt23D/NffyJmZSI0bE3TVlWjbtatxf57wZV064yaE5557jn/++YehQ4eSnZ1NUlISnTt35uOPP/Z5QQ5w5klefYS5ry0l52heleNpO08y66n5VUR5ZRTZuTW53uFtmKqscGjNUaxmD+UpziO2Tn6P3X9/XUV8AxRlpLLktVvJObT7DM3MOTv//ILjGxcBeBVvnbTgNwpPpHjdvyCKNO8/lhGvTeWqX7dyzW+7uXLSFiJauM9IWlKQw8F5U6ocC2/aCsEL63vX6x6tsXu2Idy3jOJlxPcdVZGN1QltR99IUJTq8i5pdBzfuNCt+BZEiZSV/9RoLkUZqcx5dByrPnyIlJWzObZ2Htt/+4hZ9w4mZdW/NeozgHcE1vpzjJxk+O5CODiXKgtj9kGYfiVs+cH5df5KxljXlH8HebHoW7IhaV6dTudsonjRYnLuvBs5s6qnoVJURP7zL1D0409naGbOKVm9hvznX/AusZnDgf3AASx/+pZIVdejO1FffE7jfXtocuQwjY8dIeSRhz1el//qa1V+17Rs6ZX4NowaWeNSWoLBgODD5oJ6kYAmsSVigwbl8eVVkCQ07dthHDumtLmAddly523LcDgw/zHdt3mUopSUkH3XPWSOvQTTpF+x/DeHou9/IGPYCHKfedYrY0ddc8YFOMC4ceNYvHgxeXl5mEwmtm3bxkMPPRRYkM8yHDZHeZmwU9csRVawldiZ+dQ8Zj2zgB2z9lBSVBHH0qBdjE+x32cDiqxgyfdfLeWzGVNWGvvn/OL8pCKjyA52/PHp6Z2UG+wlFg7Mneybu1gthGEZGr2xtPyXO5d8haTFVRelVsOv8rhJkDB4Ai2HTKzx3KJbdyWkQTMPczsFQaDV8KsZ+NRXFRZmQV12RI2W9pfdSbcbn6hyibXIfQyZIjsoKXDj5uYC2W5j6Ru3UZRxvLwfRZFBkZEddtZ+/iSZ+1xkcA3gFwJr/TnEomfAWuAkjrv0O/Ofu+CbXjDvUcg6UHG66YX49B1yViBAwfEzPYl6gaIoFaLRxfpZ8PY7yBbLaZyVewq/+ca9EDwVQcA0bVqtxhREEW3LRPeNFAXblq3YK7lqG8aOQQgJcRvmISUkEPXlFzWfmyAQdNWVvt0ThwPDsKHEzvgLbZfOZR2Vz1N/0QBi/vgdoVIpSUdOjscND6WggJo4aue9/ArFc+aov9jtqlW+dCzzpF8p/OTMP2/WCwEe4NzgyMZUSorcWHwVsFnUGOy1P21h2j2zyT6s1n9tdVELdEH1K3FSrRHAEBpwSQM4snqO2zhvRXZwYutKSgpd1wo+neQe3oO92If4JwBBwJJXs9wClSnOy8ST1aU4v6oAjW3Xk9YXl5XSqH6fG3UfxAV3v1qreQmCQI+by+p2e36AFkSRJr2GcmT1v2yf8j6CqCGiRTsSBl3GBfe8zvivl9Ptukerxc0HRTfw0K9EcKzzEmnuSN28lKL0oy43KgRBZO8/3/vcb4AA5x3mbNj7t/s4bkWGE5th/afwRXvYWmr1jEyAVqPV7Of1An9sBigQ4v5763zBtnsP9uRkt5vXislE8cJFp3FW7ilZucq3LOWKguNkhud2HnCcPOmVyHWcPFn+s2g0EvnhB6V1dE+RcIKA2KABsX9NryJ0a0LIffeppb28EeGSiBgTDSjkPvIY8skMNK1aYhg9irAXnidu+VJipkyuFjevadrUY/9iw4Y+5whyZGVhnvqb2/dg0TffqqEAZ5CAAA/gNwpPFiGIXn5QFCgxWfnvpcXYS+xojVpGPjsIQTrzO+OCJGCMMNSuD1Ggee+m6EMC9T5BdZsus3y6RqGkMO90TMcjNSrxpcjlrtS1wRgZ59Gd3BBWdSETBIGetz1Pr9tfJCi2UeUT6MOiadChN47i2i82TXoO4aLHP8Xo7HWW/n3LkqNFxLcl68BWtv/2EXlHD2DJSSf/6AEOL5tB2pblaF1kjm857Gq37xVFdtByqO+W/OOblri9r4rsIG3LinrhmhYgQL2mINX7DOaKQxXjs26H4xvUY+N/VOt+1wdi2qulymqDPhxaj/HPfM5y5GwvNqEFwX2yrtONr9/5oojUuPaJwaS4Bl4JfzG26nprHDuGmN+noa0UGw4gGI0Yhg9HKXZTKcBLNE0aEzNrJtpuXaufrCyIBQExLByxaTPyHn0c6/r1ONLSsCcfonjuPEw//4wY5DwJc9A1V7t//aJI8A2+JzcsWbHSo5u+UlhIyabNPvftTwICPIDf0IfqfHIjV120i0ledQSAxp0b0uOqznU1PY8IAogakcveupiEvvHebyY4QVEUul/ZyY+zO7sxRjXwKGoFUcQQUbM4Y38T0bwdoo8JdRRZocXA8bUeO2HgZW7vlSCKtBxaPcGRIAjE9x2F1hBMuVVHUSgpyGHb1A+Y/8wVfrHQN+09nEu/WMyQF36iz31vMejpbxj45Jc0u2AEUS070bj7IPo/8jH2EgvWwvwqu9Bl4vb4xkXsneXc2txm5HWENU5wKZYTBk8gulUXn+ct20o8urIpsqPG9dUDBDhvMHqfAbocUYJ1H6s/hzSAa2b6cHEdbcwPfweGvVH7jOx9HgZt/c3ufTqRGjXy3EhRkBp70e40oevR3XM998rIMsHXX1vrcQ0jL3afFV4U0Xbt6tRVXde3T8Xx0rkrZjPmadPIGDqckjVraz0/bctE4mbPIm7RAiI//YSob74mZubfBN98E9ru3dH160v4yy9hGDcW+44d6kVlmxmKonoKpKaRc+99TvvXdelC0PXXOXenlyQ0CQmE3Harz/NWvCnTBt6Vc6tDAgI8gN9ocWEzRI1vbylBFDi+vaKkU3wP73YVm3Rr6NM43hCVEMllb11Mg7axdBzdpnYx6QrMf2MZ895YxpGNx8+5+HZfaTFgHIIbq6YgSjS98GKf62nXFbrgMBIGj/ep1FW7S24lJK5Jrcdu0KkPjbsPcmoFVjcp4mgz6gan12764TUKUg9R1YVdXQiLMo6z/qtnaz0/AFGUaNipDwmDxtO4+0Ca9BzCgEc/ZuSb0xn45JfogkIpPJHiWswqCvvn/opst1U7pQ0KYfirk2nefyyCVGGZ0gaH0fmqB2rsSh/R3H1yOwSBkIbN610N8QAB6h3hTaFpPy+8mioh26smKovtAAbnVVGqENsRv2doDWkIl/4AA56ENuMgtHHtXOLXvA8/DoSNX0FJkf/meRaibdMGbefObgWtGBmJYciQ0zgr94Tceaf3VnBJRNulC0Hjx9d6XDE4mLBnnnZ+sjR+OvyF55yeNv/+u+pmDVXn7nCgWK1k33YbcpF/3ova9u0JmjgB47ix6Hv3JuKN14n7dzax0/8g6Npr1IR0ru6fw4F10yasu5wn2Y14+y3CnngcITy84qBGg/GyS4mZ+bfqBu/rfDt4WOtBTRrXrq3PffuTWvrdBAhQgSFUT7cJHdnyx07vL1KUKuI0tnU00QmR5BzJcylaoxMiydhfe0seAoTGBdP7+m5ENY+oUiItqnkE/e/sxervNiGIQsVcvCxDBmDJK+boplSObDiOIUxPUJSR0Nhg2g5vRfPeTRCl82f/yxAeTZerH2L7bx9WOyeIEhqDka5XP3QGZuaa7jc8Se7hveQk78TdH15rDKHD5XfR/tI7/DKuIAgMePQTNv30OoeW/lXNgmyMjMVWbEIfVvXh1ZyTwdF1811mEFdkBye2raQw/SihDeP9MldXZO7bjCBJKG7cy0oKcihMP0p405bVzulDIuj7v3focdPT5B7dj6TREtWyM5K25jkVEodMYOf0z1AcLh4UFGjrYmMjQIAApzDsDZg0DJ8Wxcpu6xod9L4XVr3tuuqBZACN3rcxnCFo1NrgQ16Dxj0hfgCUbe5JGrh6hvpa7MWVrOE+jGkzwdFVcHQlLHgCwuMhKAY6XgldbwbD+VUmL/y1V8i68mr1l8rCTBBAUQh//VUEXf3Jj2MYPYrgu+/C9M23akxy2bpVOt9yJAnjZZcR8cZrCIbahSmWEXL7bQhaLfmvvY5iNlecUBTEyAgUi3N38qJvv6s+vzJkGaWwCMuMmQTfWLdrmm3PHs+x1IKAdd06p1nZBVEk9KEHCbnnbqw7dkCJFU37dkjRNS8Lqu3SBW2nTtj27nXu4i5J6AcNVGPQzyABAR7Ar/S6VnUN3fb3bmS75x1FBWjYLrb8d0EQGPb4AGY/vYASk7WqCBcgvGFouUCvDVqjlvYjW9Hz6s7ogpwvBJ3GtSOqeQQ7Zu0ldUc6igJxbWPI2J+Jw+rdbmnZ/IsLSiguKCH3aD5HNqbSpGtDRj03GI2+5h/BwkwTe+cdJG1XOiDQpGtDOoxsTXC0j+UjThPtL7sDbXAou6Z/XiWJWGy7HvS6/UVCG7U4c5NzgtYYzPCXf+XQ8hkkLfwdU1Ya+tAIEgddToPOfbHkZqDRBxHXvheSzr+x/qJWh7Uo3+nimnt4DwtfuJZR7/yNMaLis5OTvMNt+a4ysg9ur3MB7i5Da9Vm7tvpwyJp2KmPP2aEMSKGC+9+jXVfPYsgiJWs8+ocGnW7iFYjrvbLWAECnPMkDFbdyGfdBuYsPApWQaMK38oMfB6OrICjq0sPlG10S6pgHvg8LHm+dvMUJGh/OQx5BWJdWMaaXgD3bFdd5HdOAWsRRLZUv8cy93g5UOncbSbI2qv+fHQVrHwLblkGMT7WVa5MSRHsmAx7/gRrIcR1hl73QJNeNe+zDtH37k3MH9PIf+4FbHsq7p/UtCnhLzxfXoqqviAIAuEvPI+hf3+KfvoJ69ZtCDotxpEjMU6cgJybByjoundHio311J3vSFJV8V2KnJ1D9s23ED3lVwwDB1Yct1jUetse+izZtLnOBbjXeFjrBb2+Sr3z2g0lEPnZJ2SOn4BSVFRVhEsSYmwske+845exaoOg1CS/ez3FlwLoAeqWvNQCDi49ROahHI5tTnPeSACNXsMNP05AH1xVBJuyzeyYvZf9iw9RUlhCUJSRDqNa03FMW6bcMQN7sW8xW4Mf7kvChc2wlziwWx0ERxkRRIFDq4+ye85+co/lo9FraHlRczqNa0dorPOkEQAbp25ny+8+WPmdIIgC7S9uxUX3Xlij6w+vPcqi91ehyBUeBIIoIEgCI58eRHyv2rtC1xWy3UbWwe3YLEWENWpRa+Etyw6Q5XPKdThz3xYWveQ6+YggSrQbdwvdrn+8/Fjq5qWseNd5rFVl+j74Pi36j/XLPF1xctd6lrx2i9s2hvBoLvtqGaJ0eveBM/ZsZO/sH0jbtgIUhZAG8bQZfQOtR1xTZ++hwNrkfwL3tJ5gyYet30PGHtj+s/tNwBsXQMsRVY/ZimHzN7DxS8hJAm0wdLoG+j6qiu99M71P+AbQ5SYY8Y4ak23OUi3RhnA4tg7WfwKHFgMKJAyDPg9Bs76u+0pZAT8P8n5sZwgSRDSHBw6ocfC+kp0EvwxRE98BoKhJ42Q7DHhG9UTwMUv06cS2Zy/21FSk6Gi03br6FNZ1KoqigNUKOp3PmbHrK4rFwonuPVEKC503EAQ0bdsQt2hh+WtWiotJa9nafceSRNDECUR+VN3r0J/IZjPpXbs73UCoTNyiBWjbe+Ea7kfsx45R9NXXmP+YjmKxIISGEnz9dYTcc3fdbKTg27oUEOABvEaRFY5vP8GBJYcoyjITEhNEm6GJNO3aqDxhWUF6Iet+2kLK+mPlxjt9qI6SQmsVV25BFBAlgVHPD6FpN/fJOBRFKf/ikR0y302Y6tO8u07oQJ+be1Q5JjtkFr23isNrj1abl0YvMe7V4cS1cZ4QTHbIzHl5Cak70n2ax6mIGpEbf56IIdQ362ne8Xz+ePBfFIeTj64AoiRyzZeXEtogpFbzq++c2L6avf/8wMld61S3tvg2tB19I4mDJ9Rqka8PbPj2JQ4t/cttQjBdSDgTf1hX/ntJYS4z7xnkNK66HEHksi+X+iVbuzsURWHu45dSkHbY5Wvoet2jdLjszjqdhztkhx3F4fC794IzAmuT/wnc0zomYw9s/hbSt4IuVLUid7oWdKUeVjYLLH0RNn2jWmUB9GFQUqgKzTJXbkFSBfSgl2DIy+7HVJSqYvKnQaqF3FsadIF7tlUXpBu+hDn3VwhXqPh59Gdw4f9c97nhC5jj5ry3XDsb2l7i2zWyAz5vB7mHXW9CXP4rdK0nVs46wpZ8iKIvv8I8cyYUFyNGRxN8w/WE3H0XYuXY4bMQy39zyLnrbo/t4hYuqBLbnHHJpdi2bXcbux756ScETZzgl3m6I/+111WXeGdzkSR0vXsT+9f0Op+HKxRZRikpQTAY6nzjxpd16ex+Sg1w2rBbHcx9bSlzXl5C8qojpO/JIHnVEea8vIQ5ry7FXmKn4GQRMx6fR8qG41U8Z0sK1drgEU3D0IfqVGv26DZc8ck4j+IbqrqpipKIIdz7B+buV3SsJr4Bdv6zj8PrjgJUcXNXZAV7iYN5ry/DYXO+4ImSyJiXhxLWKLRWyVllu8zJ/Zk+X7d7zgHXnn6K+hp2z/XgnnSWc2DeFJa9eQcZuzeUu2nnHzvIhm9eYN1Xz571paSK87M8ZuO2FuVXeZ360EgSB09wmRhJEEWiW3Zi7+zv2TblfTL2bvKYFbymCILAwCe/xBARW+VhuCyzeXy/0bS75LY6GdtbRElzWsR3gABnHSvfhi87wsYvVAF8cA7MvgM+b6taZO1WmDwa1n5YIb4BSgoABSJaQHADMEar5bluWuRZfEN14RzVyvs5N+sPt6+t3seJbRUCunK287Kf5z4AaVtc93vB/dDzHu/n4QxRC4dqUPf64FzVK8ClB4BYGkN/ztjRqmHdto3MUaMxT58OpeW15OxsCj/7nMxLLsORk3uGZ1g7HJkZXnkwODJOVvk99N57XYtvSUKIiMC6cyd5L72MeeZM7zOD14CwJ59AP/Ci8rGB8tckxccT9eXndTa2NwiiiGg01juviUAMeACvWPvDJo5vVV3JywRr2f+p29JY88NmigtLqsdtV6Io08SNv1yBthZxzwDxPZtwYMkhj+26jO/ABTd2r3ZckRV2zt7nUsSWlUc7vPYYrQa2cNpGlEQue/ti5r+xnIwDWepWVg00nxchu9U4ujnVbVZ1RVY4ujmVPrdU33g4Fyg8kcLmn94ATqnXXfoQkrJiFo27XUTzOnazrkuMkbEIouRWhOtDIykpyuPg/N84vHwGJUV5BEU1JLRhPIUnUsqvF0RR3QEGspN2kHN4D6Cwd/YPRLfuysAnvsAQXvOEJ64IadCMMR/M5vCyGaSs+herqYCwJom0HnE1jboNrHeLYYAAAYC9M2DxM+rP5YK1dL0pPAGTR0K/J+HIctd95CSpcc8taum+3f122Pqj53YNu8OtK5xn3t7weVWL/KmIGtjwGYz/yXX/Yz9X+974Fequ+2la7A8tVMW77MqrSYbM3WDOhuD6UcLTnyiyTM4996ri8dRkWrKMPSWF/NdfJ+rDD87MBP2A1KCBVxsoYkwMpmnTMP0yCfuhwwghIeh698a6cWP1xHGAkpeH6aefATB9/wP50dFE/fgD+l49/f4aBL2e6Em/UDx/AaYpU7AfOYIUHU3QFVdgnDgBMah+5iU60wQEeACPFBeUsG9hssvvCEWB/YuSkGXFbQ4Wm8XO4dVHaTO0ek1DX+gwsrVXAjyiifOSVuZcC6Zs9/EqoiRwcl+mSwEOEBRhZPy7Izm5L5MjG1M5sCQZS16x15vRgigQ19p34SN7UdLMqXv6OULSoj9KRaVzcSoIIgfmTfGLALfkZpC08HeOrpuPvcRCZIv2tB55LQ0796tTAZkw6HKSFv7uuoEg0PTCi5n7xHhKCrLLLeFlJciC45oR1jgBS14mWkMQmQe2lu+WK46KB9Gc5F0se+tOLn5zOmJN4hM9oAsKpe2Ym2g75ia/9x0gQIA6YNU7qheNM8GoOCD3EKx5D7e7zqIGNn9XewHerC9IenC4s96JqqXcVdjR0ZXu63zLds9u7qIEY7+Afo/Dzqlw4D84vg6vs6TLNtVC7ysevKAq2tWyjnk9pWTlShzHjrtu4HBg+XsG8osvIEZE1GospbgY898zME2bhnwiHbFRQ4KvvZagy8f7LeO5MwxDhyKEh6Pk5ztvIAhI7dpS8MablKxYqb7PZRmlqAhrZiYEBaEfNBD5eCroddiTklEKCtRr7RXvCzk3l+xrryNu0QI0zZv7/XUIkoRxzGiMY0b7ve9zlYALegCPpO0+ieyqdE8pssO9+AZV1BacdJFowgfi2sYQ2tB9fLMoCbTo08zpOUHyMkOz6LmdIAg0bB/HhTd1Z/x7owmOCfbKLV0QBRL7xxMUafRqLpVp1CHO7dwEUaBRp7qN8T2T5Bze7dYyrCgyuSl7az1OdtJO/ntkLLv//pqC1GTMWWmkbVnGsjfuYPNPr9eZ+zZAdKsuxPcb49o1TVFIXvQHxXmZp7jbq3MyZ6VijIpj9Dt/ExTdEMHFm1KRHeQe3suJbSv9/AoCBAhw1lFSCKnr3VtrRQ3kH8OtFVi2Q7YfwqAEAXrdjftFVVaTtrnsw4uNRW9rgEcmwMDn4Nblav1w8FwLXZAgOA7a1yAWt2kfN9bvUsLj1f7PQWy791S4NLtsZMOe7Nkg4w45L4/MS8eT98ST2LZsxZGWhm3rNvIef4LMyy5HdiWO/YCg1xP+8kuuGygKjr37VPEN1Wp+U1KCffsOYv/7h+DrrkPJy3Puml4aB130gxceJQFOCwEBHsAj/rKmKrKCLrj2tR8FQfDoXh2dGMXeeQfJSy2ods4YbiCiaZjbNV12KDTp1tCneYXGBnPFx2Ppc3MPIpuFYwjTI2pP+YiVjhkZH85F91zgU/9ldBrb1qMLescxbWvU99mApNV7jJkSa1EvGqA4P4fFr9yEzVKEUulhtEz4H5w/lcPLZ9ZqDHcIgkDf+9+m3bhb1dfrFHfvAZmUFbMoKczj2LoFbjcsBFHi2LoFHudkzsng4MJp7P3nR1K3LFOzzwcIEODcwdvPtMbD96sgQpCfwlr6PqYmd3P2uCqIaqx56gY1u7mzTdHWo90LbEGjtvEFSQvXzICJv0H8ReocdGVGgUrzFCTQBcO1/3i+Z87ocIWaxd2lyBegz8Ourf9nOYJO5zbJWDn6mufyUBSFrOuux7Z7d9kB9f/ScW1795L39LM17t8bgq+6ksjPPkWMq8FGisOBIy2N4sWLsfz3n/v3gsOBZeYsj13KFgvmmTMp/OprzNP/RHaVoT1ArTg3P7UB/Eqsl27SkfHhHq2/if1qX3/YnGfh5N5MJF2lRfWUcbMO5bDptx38ft9sFn2wCru14sFCEAS6Xt7RpX4RRIHwxqE0697Y57npQ3R0vbwDV31+CTf/eiU3T7qCvrf1JLJZOPpQPdHNIxlwd2/GvzsKfUjNFo24NjH0vb1n+VwrzxtgwD0XEN0iskZ9nw006TXUbcyUIEo07T28xv3bzEXMf3oiDmux60aCwL5/6nYnWdRo6X7DE1z+7Sqi23TzbGk5BdluI+fwHmSHewuKosjYi12HZDjsVjZ+9zKz7hvCph9eZfvUD1jxzr3Mvn8YJ3et92lOAQIEqMcYwiEyEQ+709B8kHtRq8jQ2XUZRa9x2NQyZLpQKizuQsV3oSKr8c9rP4BJw+HLzmrG8Mr0vq+0vbPXJKiHe9/v+9xECTpfA7cugyfS4el8uHI6tBioiuaIFtD/Cbhvl1pnvCZoDWr2dI2x6v0u+7n9BLjwwZr1fRZgGOZ+rQcQGzRA275djfpXFIWchx/Btn2H60YOB5Z//8Vx4kSNxvCWoAmX03DTBkLuusv3izUarJu3oBQWedywUCzuwy9NU38jvWt3cu9/gIK33ib34UdI79aDwq+/rlOvv/ORQAx4AI+ENQihWY/GHN92wqnlVRAFmnZrROdL2jHn1SXOOxGgw+g2hMS4rq/tDUWZJmY+NQ9zbnHVuZwyrcpW+0MrUxAEGPbogPJjzbo3ot2IVuxbmFRRhkxQ+wmKNDL6xaGIUu33p3RBOrpc1p4ul3lX/9CUbebg8sOYcy0ERRppPSiB4OjqCSy6XNqe2JbR7Px3H2k70wGBpl0b0vnSdjRoWzf1DesLLS66hF1/fkFJQa4Ty64AgkC7sTfXuP+df36BOcdDiTlFIf94EjZzEdog38q9KYrCyV3rOLZuPlZzIWGNWpA4dCLBMc43fOwlZrIP7qhREh+NTk9QTCPMWa4fHgRBIKyp67wMG755kZSVs8sfhMoWYUtuJsveupMRr/1GVGJHn+cWIECAeoYgwIUPwbyHXZwXVUvvqE/ghz5gya2eoVvUQFRr1XpbGxw2mHa5moH9VCp/Fyr2ivU/az/8PBju2w360u9lYzSM/hTmPqheVzZfQVJfz5W/Q0yb2s0VVMtjxyvUf95gNcPu3yFjF2iDoN3l0NiJZ1+zvqqI3/AZ7PodbCaI7ahmZ+94Vc1qi58laBISMIwdQ/HceS6FZeiD/0Pw5KbugpLlyyn+8y/PDWUZ6+YtGMf5nlfGlpSE+Y/pOI4fR4yKIujyy9H26O40h4wgSRQvX65+Dn0Uu4JGg7ZtG6ybN1dPWFeGKKJp5bqygPnvGeQ98WTFgdJ+lOJiCl57A0HSEHLnHT7NK4BrAgI8gFcMeqAPs56eT1GGqcr3giBASEwQg/7Xh+DoIIY/fhErvliH1WxDkFRhK6CK73539Kr1PFZ+vaG6+PaAokDS8hR6XduVvOP5bPptB1nJOQBIOonQuGBErYghRE/L/s1pPTgBrVFb67n6gqIobJy8nW1/7QJBQBAEFEVhw6StdLuiE72v71rtC7tRxzgadTw3Y79OxVZs4siq/8jctwkQaH3xtRxcMI3ivEw127eiAAqSVkf/hz8iIr5mD1QOm5XkJT7Uq/QxEZu1KJ/l795H1v4t6kND6cbPrr+/ott1j9H+0turXZN/LKlm4tsYTGRiR9qMvJ5tUz9wuaArikLLIROdnss/nkzKChcua4qMIgvs/PMLBj35pc/zqwmKopCTvIv81GQ0eiONuvT3eQMkQIAAbrjgfjUp2d6/qiZjEzWqaL3qL4huqWYdn3Y5ZO9XzymKKm6b9IGrpqvW29qw6etS8X3q95abtV+xq/HpOyZDi8Gw5HnYN6P0NQhqsjatUbUoJw6DnndDRO298nxm32yYcaNatk3UAgqseB0SR6j3znBKbevIFjDyA/XfOY4iy5QsW45l7lwUsxlN69boMjLVbN8ajSoKRREcDkLuv4/gm2u+2W76ZVJ5UjOP+LjWK4pCwWuvU/TNt2oce2mNe9NPP2O4eARRX36BYDRWu8Z+4IDvZeXsdvQDL0IIDsH062TX7WSZ4Fuc3y/F4SD/jTfdDlPw/gcE33B9tXnXFfbUVKzr1VKzugt6o2nmPK/T2UpAgAfwiuCoICZ+OIbdcw+yb8FBzHnFBEUYaHdxazqObl3uTt1yQHOa927C4XXHKEgvRB+sI6FvvFMrrq8UZpo4uim1RtcKosC6n7eQsu5Yle9Rh9VBfloh4Y1DufjpQehDah+jfip5x/PZM/8gmUk5aHQizS9oRpshCeiCKsba9tdutv65S/1FUVAqPWRsnb4LXZCWbhPOTytj5v6tLH/nHmymgvI60orsQBcSTqcr/0dR+hFku53oVl1IGDwefUhEjcey5JzEbjF51TYivi1ao28eHas+epjsg9sBdcFTf1D/2zblfYKiG1bL3i7pavYgG9m8Hdsmq31GJXYi99DuKvHsZQ/X3W98kuDYJk77OLLmP7fl0BTZQdqWZTXyBPCVnMN7WP/ls+Qd3V9+TNLqaTfuFjpd9UCdZHEPEOC8Q5RUq/DOqWoJr4xdqmDteKVqHY8tdfeNbQ//2wspy+DYGlWEJw6Hxn4qc7T+s5pfu+V7WPgk2MyVNi8VNYO7pFNLpNXULdwd5hzY9pNav1u2QbN+0PMuNXlbGcfWwe8TKuZVOcna4SUwbTzcvMRnwXcu4MjKIvv6G7Ht2qWK7TJhLAgE33kHitmCnJeHJr4ZQddcg7ZVy1qNZ9u12zvxLYnofCzfVfTNt6r4hmoW6eJFi8l95jmiPv6wynFBEECnA19qdosiYoM4LLP/RYyMIOj66zBPmVrdii4I6IcMJmii88126+bNyOnuPf+UoiKKly3DOLpuM53LeXnkPv4kxfPmVbwGQcAwYjgRH7yPFBVVp+OfLgICPIDX6EP09LiyEz2u7OS2nUavofWgBLdtKpN7PJ8ds/ZyaNUR7FYHEU3C6DimDW2Ht0LSVLiB5xzJrfHcAY6sPwZU31xUZIX8tEK2TN9J31v9WyNx5z/7WPP9pipu7se3pbP59x2Me3U40S0isZXYK8S3C7ZM30WnsW3R1LKG+tmGOTudZW/egb1EjceuLASt5kL2/fsz4z6egzHCP273kt57sdvuklt96jvn0G5O7lrnuoEgsOvvr4jvN6aKt0NUq07oQiKwFuV5HqSSxSrrwDayDm5X75kg0rBzX3KSd2E1qRldI1u0pePl99Dswotddmctyvf8IKgoWM0FdSrAC1IPsfjlG6vF5TtsJeye8Q1WcyG9bnuhzsYPEOC8QpSg643qP3cIAiQMUf95gyVXFfWbv4OidAiOhW63qnHMIZW8uRw2yDlYw8krkLlXLV12qnu84lCPz7oN7tvpX5F7bC1MHg3WwgpxfXQ1rH5PrTFedi9XvF4xz2pTd1RsaMTXoGzZWYyiKGTffAu2vaUVTOxVS6uZvvueqJ9/wjii5vldTkXwsj618dLL1HrdXqLYbBR94cYrTJax/PUXjqeeQGrUqOpYIy/G8t8c127kZZRZ7mUZOf0kpilT1N8dDrTdu6MUFmBPSlabxsYSctuthNx7D4LG+TOknJfn1WuTc71rV1OU4mKyrroG2759VR/WFYXixUvIuuIqYv/7B/E0WeHrkkAStgBnlNQd6fz18H/sX5SM1WxDtsvkHM1j5VcbmPf6Uhy2ii8hja7m4lORFbdePYqssG9BEg67766+rji2NY01328q71/9Qf2vpNDKfy8vxl5iJ21HOjaL+zqeNrONtJ0n/Ta3s4WDC6eposuZC7asJg9LXuyDy7gHjBGxRCZ08JjwrPmAS2hx0aU+9Z26eVm5Bd8pikLBcbXcWWUkjY4O4+90fZ0gEBTdkOhWXQiObVz+UKnIDrXmt6KA7CB9x2p63PIsl36xmMu/XcWot/92K74BgmObnFLmrDqiVoc+rG53pHf++QUOa4nLuRyc/xuF6UfrdA4BAgSoBYXp8G0vWPYyFBxTLb+FabDqbfimO+SmVLQVJO9Lg52KIIHdXF18l6HIkLlbzZzuL8w51cU3qHNQHDDjZkjdCDYLJM11PTdQPQl2+29NO1uwrluHbdt2t/HLhZ/VwivCCcaxYzxmkBcbNSLirTd86te6fQdyTo77RrJM8ZKl1Q6H3HO3+oOzzSFRRAgORtO9G5p2lSrdKArYbOX3zrZ9O9ruPWi4ZRMNNqyn4eaNhD74AILWdWilpql37t1SHbuBm2fNVjPSO3sfOBzY9+/H8tffdTqH00VAgAc4Y9hL7Cx4ewWyXXaaUO34thPsmFVRz7lBu1h0QTWMzfZio9tqtlFS6IPrjwe2z9jjsl63IitYcos5tPooNouHOp9l8/Oy3bnE8fUL3QtARebYes8ltHyh08T73MZcR7ZoT78H3nWaRMUdDluxVxYXh81a/rMsO0jbuhxT1gkimquun4IoIQhieeKZJj2HMO7jefR/+ENMmalu4scEdv/9FUHRjTCEO69sYMpMZevk9/j34dHM/t8wMvdtdjtXQZRIGHgZmhq6yXuDvcTCsXXzPZRSE0lZ+U+dzSFAgAC15N97IP9o9e9WxQGmDJhZKTZVFKHN2JqJcHfitjJZ+z238ZZtP1UX35URJVj38Sku8W6wnn9ln4oXLFTdzl0hy9g2b0HOrZ0nZGWCb7xBtYK7EuFGI7H/zEIMDfWt42I3FVTKEASUU1zNbXv2YpkzF/2A/mrcuCCocytd66WmTYlbOJ+4f2ZDcYnr5wlZxvLnnyg2G5omjZ0mqZNNJop++pmM0WNIv+BC8l54AalJE9d9CgJS48bo+/fz/NpqgfmPP8DFc3PZPEzTptXpHE4X55c/a4B6RfLqI1hNVtcNFNj17366TeiIIApodBJdL+/AxinbvR6jPAzGy5wW/nLxlh0yqTvS3Y4riALHtqbRZbx3GdIjmoT5ZW5nE3Z3pcBKcVj9t2kC0LT3MHrd9gKbf34TRVFUoS0IKA47se16MvCJL7zuS5YdpKyYzYF5k8k7st+tiATQGIIIilFd0opOHmPZW3dReCIFQap4XwoaDbFtuhPetBXNB4wjulUXBEHg+CYXFQjKUSg8kUJB6iHCm1aPnUvfuZYV79yL7LCXz9OcfdLlA6MgSujDIul0RQ1K+PiA1VTg8b4pQHF+Zp3OI0CAADUk/xjsn43LBVG2q4nfMvZAXAf1WP+n4MC/LjoUXPflLXofRZU7kua5F9ayXU0od/kkMERCsRsRqcgQ3db1+XOUU8Vobdt5g9SoETG/TSX75puRc3IrNgDsdsTYWKInT0Jziou4O0rWr6fom28pXrbcc2NFQdtBffZTiovJefBhiv/7r0J4l1qAtR07ou3QHsOwYRguHoGg1WI7eBD7oUPu+xcEiufNJ+SO6oldHSdPkjnhChxHjpTPxXEiXXVhL33eqbKRL4ogQMQ7byPUcc15R/pJNTmtKxQFx8lzwxs0IMADnDEyDmQjSgKyw/WHzZxrwZxnIThKjdXpfkUnTLkW9sw5UGFdFtSyY/G9mqAP05O8MgXZpi6GMa2iyUrO8Zg1XRAFmnRtWHMLuzM8PR8oCrJDJiYxiuiESHKO5Lks8xbVIoKYxHMj8YQvRCV0wJJz0qUAE0SJyDoogdV65HU0vXAEh5fNpCDtEBpDMPF9RhLbvpfXlm9ZdrDmk8c5tm5e1WzCrhAEWg67Eo3OgL3YzOJXb8GSoy40iqMiREG22cg6uJ0L7nqVkAYV7mD2YjOCIKJ4sADZi6snmbMW5bPyvftx2K1VFt7K910fFkVJQalbnSDSpNdQetz8DEFR3sfG1QRdSLjn+yc70Ieef5+PAAHOCk5swSvBnLaxQoDH94MJU1TLuGynrMQksh2iWkLby2DHr6r1HCA8Xm2Tf8TzONpgaOk+/MYnZPchZOVtRAl63QOr33VtqRdE6HaL/+Z2lqDt0KFa3PepiFFRiDExfh1X16M7DTesx/zPv1jXr1eTlfXrh3HsGAS93ut+TJOnkPf0M+UZ2t0iimgSEtBdeCEAuU8+RfHcueq5U6617dxJyN13qu7ypSgmLxLFiqLLdjn3/Q/HsWNVRXalhHdibAzyyYzyU9qOHQl/4fk6t36D+jd2pKS4bxMW7vb82UJAgAc4Y0ga0as9bElT4T4jiAIX3X0BnUa3Yd/iZExZZozhBtoMSSS2tepWe9FdvTHlWNAFaUnZcJyVB9d7HkSBHld1ruErqY4oiUQnRJKdkuvyuUMBGrSNQRAEBj3Qh9nPLsRhdVQR4YIoIOkkBj/Q129zO5toPfI6jm9c5PK8Ijtoc/G1dTK2MSLWfey1B5IXT+fYuvnqL164HYqShnZjbgHgyOr/qsWCl6PIyDYr++f+Ss9bni0/HNY4waOlWBClKqK9jEPLZ6jeBi7c1wVRIrxZK3rc9DT2YjMhDeP9lvjOE5JWj9YQhM1S5LadrxnpAwQIcJqQvKwucmq7zteo5cK2/gTp20BjgLaXQJtLQNLA8LdVwS2I6nfXp15mxR7wNOj8+H3RtC8cWelGVEvQtE/F2Af+URPFVW5ftsk4+rOqCenOE4zjLyP/lVdRLBbn65AoEnzzTS6TiNUGwWgk+KorCb7qyhpdbz90WBXfiuJZfAPIMiEPPYAgCNiPHsXy9wzXoWOCQMEHH2EcP75881+Kb65ayt2NZbejad262mHbvn1Y17lJBivLyHn5xC6cj1JYiBgTi7ZloufX5CfEiAiPbQSD9xsj9ZlADHiAM0azno1R3Fi/ESA6MRJDWPUPW2R8BH1v7cnwJy6i/129/9/efYdHVab9A/+eMzOZSS+kACEE0qUGYigGBCmhWWBFRKWjKCDuvv6UFVFRQbDsb921rauvCypFRBFlV11AAaUIghRpgRCQkiCQkELaJDPP+8chQ0JmMjPJ1OT7ua65JHPOPHPP8ST33Oc8xVR8A4DGV4OQ6CD4hfqisqQSksr6Hcv0id3RppNjk17XO1MsX/SXAJVGhaRByheGiPhWGPPacHTo3a7Obq07RWDMq8Na5N1vAIjq0gfJo66NDaw1MZp07d+dRs9ARIpjZ653lONff2TX/kZDNXJ++AIAcGbXhgbHiwujAWd2fFPnuei025TJ0Cy8TpJViOkzDNrA0HrbLh7Z0/DyukYDLh37BSGxKYhISXNZ8Q0od/atFd+QJBTnWumSR0TuEZOhLGXWEFkNdBxU/3n/CKDfXGDsSmD0v4CbxijFN6D8NyxeWearoW7ddWLpB/R/2vp+9kib0fB2YVCWcAMAXRAwbZsy87um1soRofHAPZ8B6Y84NjYvIQcEIPTtN+uMeb6+UYamRyoCZs9yT3BWlH78sdXJ3OqQJGUNcgAV/20410MIGE6dQnV2tukpVVgofO+4vf5xqiHLkMPCoDMzY3zlT7usz0VTWQlRWARt794uLb4BwHjJ+lAyw7nGLUfsaViAk9u0694Goe2DLU5UBgH0uLvhJc+sCYz0b7jIvyZpoOP/yCTdFoekwUq7tT+jJEuQZQlD5/aHLvD6xYWQ6CAERgVArrX0Wt6hi9j02jZcOpnv8Pi8gSRJ6DHxz+j72F8Q2iHF9HxoXGdk/Ol1dL/vf9wYnWUGfSWKc0/BrnGKQuDQmrdQkHNY6Sbe0LT9AKory+r8LKs16Dv7FWWSthu+DEiyCrrgVugxcS4AoKIoH6e2rkP2xtW4fHy/fXG6mg09/pULMi1v3Vwir6ALAnrNhsXfUUkGuk8GApownCWoneX2a0t70L5iyRahHYDRy5TPIde6Q1tz0fiWJ4Hk268/rwsGonsBmlqTVxacAP49A9j/oWNj8yK+mZmI+GoddMMyTcWl3Lo1gv48FxGrP/HYpaf0v/xi253vGkKgau8vKH7jLRhLS206H2/sTh78zHzIERH1i3CVCpBlhL7xN0gaDURFBcq//RalH32M8g0bIGyN013p1JbfTUcuH+hG7IJObiPJEkY8Nwj/fnYTivNKTPOq1KyZnf5Ad8T3i23Se3ToHQONr8biTOOSLCG6W2v4t7JtPUh7SJKEgXP6Irpra+z6cB/KrpQDUGZAl31UyDtyEe1S20ClUf6A/viP3Ti2MbteO4Xni/HV0xvxh/8/AqHtmsfYF3tIkoQOGaPQIWOUaYZwlcbGLo1uohTA9k8UJIxGfPfiZESn3Yb8EwctdymXZAS3S6j3dJvUfhjy/Mc49Pk7yNu/DYCASqNFxwGj0WXsLPgEhuDn/30BJ79bU6dtXUh4g7FKsgqRndLtnvndETQ6f4R2vAlXTmdZ7MovjAZEdenj4siIyGaDFwNXTgFHP1eKVGP19f/GDQVGNnGJqYAoZeb0Ew0s86XxBzqNbdr7WNJ9AhCeDPxnFpC7F4C49vdKAgqygaJzQPC1Hm6HPgU+NzN0qrwAWDdF+Xfq5PrbWwCf1FS0ev89iOpqiKoqSDqdW/KOXXwa932k5JVXEPDww1bHvkOthjq27ndhVZs2iPz63yj+699Q9tka06zo2v79EPT44/BJ64nSlatQtGgRRFGx6XVSUJDVi/uSTgdNV8cNybSHbsCtqPr11+tj0m+kUkE7cIBrg3ISFuDkVoER/hj35u3I2XEGOTuUJbnCYkNwU2YiQmOaXmyqtWr0ezgdm/+2o149VDOzet9pzuvCbKw24si3J1BeVHc2b4PegANfHMGVM0UYPn8gCnOLzRbfgFKwG/QG/LL6Vwz+f/2cFqs38PTCu4as1iCqax9cPLzb6rjsGxkqlXOlwdcJIxKH3W92U3hSKgbOew/60mJUlZVAG9zKtEzY9r8/jjM7v62XgE2Tq1m4aCCMBqSMct8XwpQ7pmPnG0+Y3SbJMrTBrayuaU5EbqTSAOPWAGe2KWO6i84AgW2B7pOUrueOuCs99DVlNnV96Q1F+LW/ayPecOzY7xsd/zeQu+eGJ4Uy5vv8bmDGHqVL/Qbzf8tMNjwJdL1fOWYtlKRWO2W8tzPoBg+GfudPVgtbc8o3bIAcHg5j/mXz18BlGb533Qk5tP7QMVVUFEJfWYKQ55+DIT8fcmAg5GDle3PpJ5+g8Mm59V4jiq8V4zfOdF7r/fwmPAA5IKD+NhfwmzABJe/+U1nX3Fx8RiMCpk9zfWBO4B1nNzVrKo0KiQM6InFAR7tepy+rwtENJ3B0QzZK88vgG6RF8pB4dB6RXGfceNJtcdDo1Nj10T4U5V5fX7NN50hkPJSOsNgQR32Uek5sPY3fj1kY0yKAM3vO48ze8/g967Lpzr/ZXY0COdt/w4BH+zhsqTRyrpvunI7ff91p9+uE0YALB7cjYeh9yN64yuw+Gv8gtL3ZzHjJWnz8g+Djf33puoKcw/XGjV9/TyMkWYaABAnCtPa6JKsgjAZ0u/ePaNvDfVedY28ZicLfsnD0y/dNMSkBStD4B2HgU+95zcUZohZLkoDY/srDHkIARz4Ddr8F5O0D1FogZQzQ50/XZ00HgIgUYPpO4Ns/Ajm1Ju8Mi1fuwHdu3CRbNin8Ddi60Pw2YzVw9QLw42LlDnzx2YbbKrsE5HwHJA53fJzkcP73jkPJ39+AuHrV8p1bCwynTiH4pUUomv+M+R2EgN+94xpsQ/L1hbrd9fmDhF6P4peWNPzGKpVy572mEL82qZs2IwPB856y6zM4kjq6LVq9/x7yH3xIOZY1XeZVKkAIhPzlNfi46e68o/GbPHmliuJKfPX0Blw5V2S6alhSUY29qw7i6IZs3PXyMARGXL/S3bFve3ToE4OC3wpRWVKJwMgABEY5/wrf0f+eaLAnsiRLOLohG74hOuXvYANtGQ0C+rIqFuBeok23DKRNew57//Wi3a/Vl5bg9Lb1FrdXlRbj4KrXkT79OZvbPP3jV3WL1xsIoxGy2gcpd0zB+T2bYayuQquEbkgcdj/CE7vb/RkcSZIkpN7/ONrdPAgnNqzCldNHodb6IqbPMMTd9gdoA0LcGh8ROYkQwJfTgf1LldnEhQHQlyg/718GjF8HJF1fogmRnYBJG4HCM0DhKUAXAkR1c/640f3Lrs1kbqHnkjAA+/6lTEhni9KL1vchjyCHhiJ81QpcvudeiLIy6y+4QenqTy1vFAKFjz+BqJ3bbV6Du3LbdhgLChreqboaAQ/PgH7vXhguX4a6fXv4P/AAdMOHub3ngW7IYERt/xGlH32Myi1bIAxGaG/pC/9JE6FJqD/0zlvxmzx5pPLiChz9bzayfziFqrIqhMSEoPOIRMSmt4MkS9j2z90oPF9cr2IVAigrKMfm17fjzsV1u6RKkoRWHep343Gmkt+vWpldWqD4Qgki4sOs9l5SaWRoA3iXz5s09jufMBhQbWXm75PfrUH3+/4HPn6BZrcX5BzGqa3rUH7lInQh4bh64QysjUk3VuvR6c6H0H28Z05uF56UivCkVHeHQUSOUq0HDq8G9r4PFJ4G/COBHlOVSdm0AUphu3+psm/t4rZmbfA19wCPnwN8b8jtIe2Vh6sU/garV9GrSpUJ2GwR1M76PuQxJH9/iIoK6zuaUX3wYIPbDefOoXLrVuhuu8389gsXULrqE1QdPQZJp4McaP47wY18evZE8HPP2h2vK6ijo5U78W68G+9sLMDJ41w5U4iv5m9ERUmlKZmVFpTj3L5cxPePRZ8pPZGz40yD3bXzDl9EwZlChLUPcV3gZuiCtPXGf9cmSTCtY75nleU/wpIsIXFgnGnCNvJ8QggcXb8UjZmMzZb9haEa+z56Bb0eXlhnkhqjoRq7/vksTm9dp9zxFte6lxsMsDa1qVrnD7XO8RMSEhHVoy8Flg9XxoXXrINdfA7I+wX46e/A1B+An/4GZcEec117BVBVrswc3vdPLg29Hr9w6/vIaqDDQCAsUZmYzezfeUkpvjs0j4mmWorSZR86tZdF4fMvIjItDXJQUJ3nS1d9gsI/P3VtvLRQfo9snOlcFd3WCZGSrbgMGXkUo8GIbxZtRuVVfZ3cVFNsn/zxN+xZddBi8V3bxeOXnRWmzZIGxTVY8wih7BMYFYDUP3Q2u48kS9D6+6Dnvc1j3EtLUV7wO0ovnoUzl/jK2fw5Dqx6vc5zB1e/gdNbvwRwbSI3IWotPdLwTOfxg+62uZsbEVGTbHgCOLtD+bdphYNrhcSVU8Dn9wO/H4T54vsaSQLO/eTkQG3Q9f5rd+UtkNVAp3uUpcdGvnWtWLvxy8G1n0e+Cci82O5NKrZstW8pMjsZsrNxefz9EHr99ff8cZsy0ZrBoIyXNgrbYpAlqOPjoElNdVq8ZB2/aZFHOftLLkp+L22wwD79k5UJTK6RPaCQuCkzEQHh/mbXOpdkCaHtgxHfrwMAoNekVPSZ0rNeN/M2XSIx+rXhdca0k+cTjZgRtTGOrf8AZQXKeMGq8lIc/+Zj2Fv016wTftNdDzohQiKiG5QXKrOhW1haEKIaOL0Z1hckluquve0ubVKBzuOur/1dmyQDsga4db7yc0ImMOFbZdmy2sISgPvXAyl3OT1ccjAX5PuqAwdQ/p//mH6++tbb1lcPuPGuvCQpy5guWuT5y7s1cx7wV4vourwjFyGrJBgNlv+YVV7VQ6WRYaiyfFVckoC23aKcEaJdtAE+uHNJJja99iMuZl2u0xu5bbfWGPx4BtQ+ypVuSZLQfUwndLk9GReOXkJVRTVCY4IR3Ma28TzkWfzCouAbFoXygt+d+j5CAL9t/w9uumMqLh79GQa99XFoKq0vDJXl136S0Ca1H26evgC+IRFOjZWICACQtxcwVFrfr1WS0l27ocnNEoY5NrbGGvMRoA1WJlsThuvd6oNjgbtXApG1ernFDwVmH1G62xefBwJaA9Hpzp8sjpxCe0tflJ0759S74JBllH3yKfzGjIGoqEDltm1W95cCAq4vPQZAnZyEkBdegLafjZMBktOwACePoiyCZF3iwI44tumk2Rt9kiwhrl8sAsI9445xYIQ/xrw6HJdzCnDh6CXl4kDX1hbXOVdpVIju1trFUZKjSbKMlFFTsO/jV5z6PrIso6JIGW5hrNJb2VuRNu0ZBEa2Q7W+EsHtEuAf3saZIRIR3cDGQjM+E8jPstCESllXu5MTlxezh1oL3PkecNsLwPH/AFVlStHd4TbzdyolCWibpjzIqwVMnYqyT1Y7902MRhguXAAAiOoGhjvUkCRohw5F4EPTYbx4CarWraHudBPvfHsIFuDkUdp0icT+tYcb3Mc/3A8ZD6WjvKgSv+0+Z1o/u+a/USkRuHVmbxdFbLvwuDCEx4W5OwxysvLCSzi1ZR2KzmVDpdUiolM6Lh35WZkIrWZ9bUkGZBnCYEMStcJoNMA3NBIAEBKbbGVvRXh8VwTHJDb5vYmIGqVtGqDWAdVWeuz0mg2ExgH/fbzWMl/XCgi/VsDEjcq4ak8S2AZI43Ce5k5UVKB8/b9RuXMnIAR8x96N8s8+Vy621F6/2mh0TBd1lQqqdtEAlFnXVdHRMJw/b3l/oxHaLp2bzbrZzQ0LcPIoMT3aIqhNIEp+v2pxHHi3u26CWqvGsKcH4PyBCzi2KRtXL5XCL8QXSYPi0P7maMgq94//ppYn+7tPsed/X4QQQrnKLClLigVEtYdvWBRK8k5D4+uP2IxRiBt8D05tXotfP33DesOSZDGBS5KMDv1uBwAEto5FVNe+uHh4t9n1viVZhVaJ3Vh8E5F76YKBng8BP79tfhy4pAbiBivjpMOTlW7me/6pdF1X+yrjpLtNBHRB9V9L5GT6gweRP2ESjPn5SpENKEV3YCC0vXqh6sgRQJKg698f/tOmwlhYiPxJk4FKG4ZdWGIwwH/8eADKkEX/aVNRvOgl898NJAnQaOB3z9jGvx85lSRcNVOQCxQXFyM4OBhFRUUICuIfZW9VeL4Y6+dvRFlhuamLec3d7aRBcRg4p6/ZSc2I3Cl33w/Y+vLDZrdJsgph8V0wdOGqet2/vnthMi4d22uxYA6L64Kicydg0FeY7qDX1nXcHHS5e5bp56sXz2Pjs/ehsrigTpuSrIJPQDCGLlyJwNaxjf2Y1AjMTY7HY9oMVJUDK28HTn2vdCcXBpiWHIvoBEzeDAREujtKojoMly/j91sHQpSUKHe3a5NlSH6+iNq6BarWdYcSlrzzDxQvXmK5YNZqoe7YEdXHj9cfSy7L8Em/GeGfroakVu6dCr0e+VOmovKHH5V9atpVqQAhEPaPd+B7+yhHfGSykT15ibcJyeOERAdh3Fu3o+/UngiPD4V/K18EtQ5AXEYs4m5p77LZpYnscXjtu+ZnwIWyHFj+iQO4dGxvvW29Zy6GNiis3vJfNTOTZ/zPXzHkhRUIi+tSZ7tPQDB6Tnkanf8ws87zAZHRGP7K50geNRkaP2UCP7VvAJKGP4Dhr6xl8U1EnkHjC0z4L3DPp0DHQcpkZcHtgPhhQPpsZTuRhyldvsJ88Q0ARiNEWTlKP/q43qaAB6dDe2v/azOR17oQr1IBKhXC3v0HIj5fA987bgdq9+LUaOA3/l60Wv6xqfgGAMnHB60+XIbgF56HKjbW1JYucygi1n3B4tvD8Q44eayivBJ8u2gzCs8VQ1JJkAAYDQKBUf4YPv82hMWGuDtEIgCA/moRPp/ep8F9JJUKySMmocfEufW2lRdeQtZ/PsTJ7z+H/mohfAJCED94LJJHToZvSLhpv6KzJ1Ccdxoa3wBE3JQGldqnXls3MlTrIas0nHjFjZibHI/HtBmpKgfWTQEOf6rcCZdkZU1tjS9wx/tAt/vdHSGRye+Zw1B9+EiD+6gTEhC1dXO950VVFUqXr0Dp0qWozjkF+PjAd+QIBDzyMHy6XL/Ibrh4Efr9+wFI8Lk5Daow6/MHiaoqQKWqdzGfXMeevMQx4OSR9GV6pRv6FWWpJGEQpgnPr14qw/r5GzHurTvgG+Jhk69Qi1Stt2Vcl2RxiTDfkAikPvAEUh94AsJotJhAg2MS7R6/bUuRTkTkNuumAEc+U/4tDNeXHKsqA9ZOAPzClbWziTyAKC9v9D6SRoOAqVMQMHVKg7leFRkJ30z7znlJo7Frf3IvXiYhj3T8+xyUFpSZnYhNGAUqr+px5L/H3RAZUX264DD4BJhfVq6GMFQjuH2S1bZ49ZqIWoxLx5Q73+YmYgOUrrpbnndpSEQN8ena9frEa+aoVNB06Wx5+zXM9S0b/++TR8r+8bTZNb5rCCGQvfW0q8IhapCsUiMx8z6LY8ABCSqtLzr0u8OlcRERebQjnyndzi0RRuDcTqAkz3UxETXAf/Kk+pOk1WYwwH/KFJfFQ96JBTh5JH1plfV9yqzvQ+Qqne56CGFxnesV4ZKsgiRL6PvoK9D4+rspOiIiD1RZ3MCFy9r7lTg/FiIbaHv3RsDMR5Qfat/FvvZv/2lToe3fzw2RkTdhAU4eKTQmuMGlxiRZQkgMJ94hz6HW+WHwgg/R9Z5HoauZOE2S0KbHrRjywnLE9Brq3gCJiDxNeLIy4VpD1DogKNo18RDZIGj+0wh9+01oOnUyPadOTkbo315H8IsvcNJTssotk7CVlJTgyy+/xLfffovdu3fj7NmzkCQJHTt2xMiRI/H444+jTZs27giNPMRNwxORs+OMxe3CKNB5uPXxtESupNb6osvdM9H5D4+gurwUso8PJ0GjFo35nhrU+V7gm8eUCdfMkdRAt4mAD3sPkeeQJAl+o0fDb/RoGMvLASEg+/m5OyzyIm5ZhmzixIlYvnw5ACAwMBDx8fEoLS1FTk4ODAYDWrVqhW+++Qbp6el2tctlSZoPIQS2vvUTsjadrL9RAjr0jsHQuf0hq9iJg4g8W0vOTcz3ZNXBlcps55JUdzI2SQ0EtQUe2g0ERLkvPiIiG9iTl9xWvYwePRqbNm1CQUEB9u3bh+PHjyMrKwu9evVCfn4+7r77bpTbMNU/NU+SJGHA7D645cGb4R9+/aqib4gOvSaksvgmIvISzPfUoG73AxO+BaJ7X39OrQN6TGXxTUTNklvugBcUFCDMwqLyZ8+eRUJCAvR6PdauXYsxY8bY3C6viDdPwihQcvEqhAACI/1ZeBORV2nJuYn5nuxSkqdMuBYUzW7nRORVPP4OuKVkDAAxMTFISUkBABw/znWeSZlwLah1IILbBLL4JiLyIsz3ZJfANkB4EotvImrWPLKaqaioAAD4+vq6ORIiIiJyFuZ7IiJqaTyuAD9w4IDpSnhGRoaboyEiIiJnYL4nIqKWyC3LkFliMBgwZ84cAMCgQYOQlpbW4P6VlZWorKw0/VxcXOzU+IiIiKjpmO+JiKil8qg74E8//TR+/PFHBAYG4r333rO6/5IlSxAcHGx6xMTEuCBKIiIiagrmeyIiaqnsngV97ty5+Oqrr+x+o6VLl6Jv374Wt7/77ruYOXMm1Go11q1bh1GjRllt09wV8ZiYGM6KSkREHsNbZ+xmviciIrKNPbne7i7oubm5yMrKsjuo0tJSi9tWr16N2bNnQ5IkLFu2zKZkDABarRZardbuWIiIiKhhzPdERESO55Z1wGv7+uuvMXr0aFRVVeHtt9/GrFmzGt2Wt95lICKi5ou5ScF8T0REzZXHrwNe44cffsDYsWNRVVWFJUuWNCkZExERkWdiviciIlK4rQDfu3cv7rjjDpSXl2PevHl46qmn3BUKEREROQnzPRER0XVuKcCzsrIwfPhwFBcXY9asWVi8eLE7wiAiIiInYr4nIiKqyy3rgD/22GO4fPkyJEnC/v370a9fP7P7TZs2DdOmTXNxdEREROQIzPdERER1uaUAr1lKRAiBHTt2WNxvyJAhrgqJiIiIHIz5noiIqC63FOBbtmxxx9sSERGRCzHfExER1eXWWdCJiIiIiIiIWgoW4EREREREREQuwAKciIiIiIiIyAXcMgaciOoqL67A8e9ycOlkPlRqFWLS2qJjnxioNCp3h0ZERESOUK0Hjn4OZH8LGPRA25uB1CmAXyt3R0ZELsQCnMjNcnacwfd/3QZDtREAIEkSjm/OQWCkP0a9OATBbQLdHCERERE1yeXjwMdDgaIzgKQCIIDDnwLfPwPcvRK4aYy7IyQiF2EXdCI3unQiH5te+xGGKiMgAAhAGAUA4OrlMvz72U2o1hvcGyQRERE1XlU58NFgoPi88rMwAMKoPKorgTXjgLx97o2RiFyGBTiRGx348ojFbcIocPVSKXK2/+bCiIiIiMihDq0Gis8phXc9ykV37PyrS0MiIvdhAU7kRqd3nTPd8TZHkoDfdp9zYURERETkUFlfocGv3MZq4OgXLguHiNyLBTiRGxmvjfu2RAiwCzoREZE3qy4H0HC+h0HvklCIyP1YgBO5UVhsCCBZ3i7JEsLjQl0WDxERETlY6x7XJl6zQJKBqK6ui4eI3IoFOJEbdRmVbBr+ZZYQSMlMdFk8RERE5GBpD6HBZC+MQO/HXBYOEbkXC3AiN0oaFIeOfdsrP9S6Ey7Jyg/9ZvZGYIS/GyIjIiIihwjtCIx8S/l3nTvh1xJ/p3uAbhNdHhYRuQfXASdyI1klY8iT/XBsQzYOrj+GovPFAIDo7q2R+ofOiO7W2s0REhERUZOlzwTCEoHtrwE5GwEIIDwF6PNHoOeDgMx7YkQtBQtwIjeTVTI6jUhCpxFJMFQZIMkSZBUTMRERUbMSP0R5GKqVJcnUWndHRERuwAKcyIOoNA1M0kJERETeT6UGv4ITtVy8zUZERERERETkAizAiYiIiIiIiFyABTgRERERERGRC7AAJyIiIiIiInIBFuBERERERERELsACnIiIiIiIiMgFWIATERERERERuQALcCIiIiIiIiIXYAFORERERERE5AIswImIiIiIiIhcgAU4ERERERERkQuo3R2AIwkhAADFxcVujoSIiEhRk5NqchQ1HfM9ERF5EntyfbMqwEtKSgAAMTExbo6EiIiorpKSEgQHB7s7jGaB+Z6IiDyRLbleEs3okrzRaERubi4CAwMhSZK7w3GY4uJixMTE4OzZswgKCnJ3OM0Kj61z8Lg6D4+tczjzuAohUFJSgrZt20KWOfLLEZpjvufvtvPw2DoPj61z8Lg6j7OOrT25vlndAZdlGe3atXN3GE4TFBTEX0In4bF1Dh5X5+GxdQ5nHVfe+Xas5pzv+bvtPDy2zsNj6xw8rs7jjGNra67npXgiIiIiIiIiF2ABTkREREREROQCLMC9gFarxYIFC6DVat0dSrPDY+scPK7Ow2PrHDyu5G48B52Hx9Z5eGydg8fVeTzh2DarSdiIiIiIiIiIPBXvgBMRERERERG5AAtwIiIiIiIiIhdgAU5ERERERETkAizAiYiIiIiIiFyABbgHKSkpwfLlyzFhwgQkJSXB19cXfn5+6Ny5M5588knk5eU1qt0OHTpAkiSLjz59+jj4k7jP119/jSFDhiAsLAz+/v7o2bMn3nzzTRiNxka1t3PnTtx1112IiIiAr68vOnXqhIULF6KiosLBkXseIQS2bduGJ598En369EFISAh8fHzQtm1b3H333di8ebPdbT7//PMNnouSJOHYsWNO+DSeZ8qUKVaPRWPOs5Z8zgLA6dOnrR7XmsfWrVttapPnLTkSc33TMdc7FvO98zDXO4e353q1Q1ohh5g1axaWL18OAAgMDERKSgpKS0uRlZWFI0eOYOnSpfjmm2+Qnp7eqPZvvvlms1Pud+7cuUlxe4qXX34Z8+bNAwDExcUhICAABw4cwGOPPYZNmzbhiy++gCzbfs1pxYoVmDx5MgwGA6KjoxETE4NDhw7hueeew/r167Flyxb4+fk56+O43ffff48hQ4YAAGRZRkJCAvz9/XHixAmsXbsWa9euxTPPPIOFCxfa3XZMTAzat29vdltzPqbmJCYmIjIy0uw2e85XgOcsAOh0OmRkZFjcnpeXh5ycHOh0OqSmptrVNs9bcgTm+qZhrnc85nvnY653LK/P9YI8xoQJE8To0aPFpk2bRFVVlen57Oxs0atXLwFAxMTEiLKyMrvajY2NFQDEqVOnHByx59ixY4eQJEnIsixWrlxpen7//v0iKipKABCvvfaaze2dOnVKaLVaAUC8+uqrwmg0CiGEOH36tEhOThYAxOzZsx3+OTzJxo0bRUJCgnjnnXdEQUGB6fnKykoxb948AUAAEOvXr7e5zQULFggAYsGCBU6I2LtMnjxZABBLly51SHs8Z23zwAMPCABi3LhxNr+G5y05EnN94zHXOwfzvfMw17uHp+d6FuAeJD8/3+K2M2fOCB8fHwFArF271q52W0JSHjlypAAgZsyYUW/bihUrBADRqlUrodfrbWpv1qxZAoDIzMyst2379u0CgNBoNOLChQtNjt1TFRUV1flyeKMRI0YIAOLOO++0uU0m5OscnZR5zlpXUlIi/P39+UWS3Iq5vvGY652D+d55mOtdzxtyPceAe5CwsDCL22JiYpCSkgIAOH78uKtC8grFxcXYtGkTAGD69On1tt9zzz0ICgpCfn6+TeOYhBD44osvLLZ3yy23ICUlBVVVVfjyyy+bGL3nCgoKglpteZTK0KFDAfB89AQ8Z22zdu1alJaWIiIiAsOHD3d3ONRCMdc3DnO98zDfewees7bxhlzPMeBepGZiBV9f30a9fuHChcjNzUV1dTXat2+PzMxMjB07FiqVypFhuty+ffug1+uh0+nQs2fPets1Gg3S09Px3XffYdeuXcjMzGywvTNnzpgmwbE0viQjIwPHjh3Drl27MGPGjKZ/CC/UlPNx8+bNOHz4MPLz8xEWFoZevXph0qRJaN26taPD9HifffYZ1q1bh+LiYkRGRiIjIwOTJk1CcHCwzW3wnLVNzbjb8ePHN/hl0xKet+QKzPXmMde7D/N90zHXu45X5Hqn32Mnh9i/f79pDM6ePXvsem1NtzRzjy5duojs7GwnRe0a77//vgAgkpKSLO7z0EMPCQBi4sSJVtvbuHGjACC0Wq1pbM2NXnrpJQFA9O/fv9FxezOj0Sh69OghAIhHH33U5tfVdO8x9/D19XVYFy1vUNMtzdwjNDRUfPPNNza3xXPWutzcXCHLsgAgdu/ebddred6SqzDXW8Zc7x7M903DXO9a3pLr2QXdCxgMBsyZMwcAMGjQIKSlpdn1+oyMDCxduhRZWVkoLy/HxYsX8eGHH6Jt27Y4dOgQMjMzUVRU5IzQXeLKlSsAgNDQUIv71Gyr2deW9kJCQiBJUpPba47ef/997Nu3Dz4+PvjTn/5k8+vatGmDp59+Gj///DPy8/NRVlaG7du3Y8SIESgvL8e0adOwfv165wXuQeLj47F48WIcOHAAxcXFKCkpwYYNG9C7d29cuXIFo0ePxp49e2xqi+esdStWrIDRaERycrLds0vzvCVXYK5vGHO9ezDfNw1zvWt5Ta53WClPTjN37lwBQAQGBjr0CvapU6dESEiIACBefPFFh7Xrai+++KLVq33PPvusACAGDx5stb2PPvpI4NostJZ88MEHAoCIj49vVMzebO/evUKn05lm4HQEo9EoxowZYzqmlq7stgSVlZWmmZAHDRpk02t4zlrXvXt3AUAsWrTIYW3yvCVHYq5vGHO96zHfOw9zvXN4S67nHXAHmTt3LlJSUux+7Ny5s8F23333Xbz66qtQq9VYtWoV4uPjHRZzhw4dMHPmTADKhAXeSqfTAQD0er3FfSorKwHYNn7J0e01J6dOncLtt9+OiooK3H///XjiiScc0q4kSXj55ZcBACdPnsTBgwcd0q438vHxMa21umXLFpuuYvOcbdivv/6KAwcOQJIkTJgwwWHt8rxteZjr3Ye53rWY752Lud7xvCnXcxI2B8nNzUVWVpbdrystLbW4bfXq1Zg9ezYkScKyZcswatSopoRoVt++fQEA2dnZDm/bVWzpbmNL17Ub2yssLIQQwmw3H3vaay4uXLiAoUOHIi8vD6NGjcKyZcssdoFqjKSkJISFhaGgoADZ2dno3r27w9r2NjW/l0ajETk5OVa7ovKcbdjHH38MALj11lsRGxvr0LZ53rYszPXuw1zvOsz3rsFc71jelOt5B9xBli9fDqGsq27XY8iQIWbb+/rrrzFx4kQYjUa89dZbeOCBB5wSt0ajAQBUV1c7pX1XSExMBKDMDmnpc+Tk5NTZ15b2KisrkZub2+T2moOCggIMHToUJ0+exIABA7BmzRrTueNIzeF8dITax9aWY8Fz1jKj0YhVq1YBACZOnOiU9+B523Iw17sPc71rMN+7DnO943hbrmcB7oF++OEHjB07FlVVVViyZAlmzZrltPc6fPgwAKBdu3ZOew9n69GjBzQaDSoqKvDLL7/U215VVYWff/4ZANC7d2+r7bVv39601MD27dvN7lPzvC3teburV69i5MiROHToENLT07F+/XqndG26fPkyLl68CMC7z0dHqPm9BGw7FjxnLdu8eTPOnTsHnU6HsWPHOrx9nrfUWMz19mGudz7me9dirnccr8v1TR5FTg61Z88eERQUJACIefPmOfW9SktLRUJCggAgHnnkEae+l7ONGDFCABAzZsyot23FihUCgGjVqpWorKy0qb2ZM2cKACIzM7Petu3btwsAQqPRiLy8vCbH7skqKirEoEGDBADRuXNnkZ+f77T3mjdvngAggoODbf7/1Fzdd999AoBISUmx+TU8Z82rWQJm3LhxTmmf5y01BnN94zDXOw/zvesx1zuOt+V6FuAe5NixYyI8PFwAELNmzbLrtRkZGSI2NlasWbOmzvN/+ctfxDvvvCOuXLlS5/mTJ0+KgQMHCgDCz8/P69cH3bZtm5AkSciyLFauXGl6fv/+/SIqKkoAEK+88kqd17z++usiNjZW3HvvvfXay8nJET4+PqaZP2tmPDx9+rRITk4WAMTMmTOd+6HcrLq6WowePdo062Nubq5Nr7N0XA8dOiRmzpwpDh06VOf58vJy8dJLL5nWbVy8eLHDPoOn2rBhg3jqqadETk5OnecLCwvFnDlzTOtO1j6XheA5a6+ysjIRGBgoAIj169c3uC/PW3IV5vrGY653DuZ752Cudw1vzPUswD1IZmamACAkSRK33HKLyMjIMPv44IMP6r02NjZWAKi3SPwf//hHAUDIsiwSEhJE7969RXJyspAkSQAQAQEBVk9Wb7Fo0SLTH7O4uDjRrVs30y/MqFGjRHV1dZ39FyxYIACIAQMGmG3vww8/NL0+Ojpa9OjRQ2g0GgFApKWliatXr7rgU7nPypUrTcczMTHR4vk4duzYOq+zdFz37dtnai8iIkKkpaWJtLQ04efnZ3p++vTpLWJJki+++ML0maOjo0V6erpITU01JVVJksSCBQvqvY7nrH1qzuGIiAhRVVXV4L48b8lVmOubhrne8ZjvnYO53jW8MddzFnQPUrN0gBACO3bssLifpclczBk/fjyMRiN27dqFs2fP4syZM/Dx8UGXLl0wbNgwzJkzB+3bt29y7J5g/vz56N69O15//XXs3bsXFy5cQNeuXTF16lQ8+uijUKlUdrU3adIkJCQkYMmSJdixYweOHDmCuLg43Hffffjzn/9sWg6iuao5HwHgxIkTOHHihNn9bJ1pskOHDli4cCF27NiBY8eOISsrC3q9HpGRkRg5ciQefPBBDBs2zCGxe7q0tDTMnz8fO3fuRHZ2Ng4dOgQhBKKjo9G/f3/MmjWrUeO3Wvo5e6OaGVHHjx8Ptbpx6Y7nLTkac33TMNc7HvO9czDXu4Y35npJCCEc1hoRERERERERmcVZ0ImIiIiIiIhcgAU4ERERERERkQuwACciIiIiIiJyARbgRERERERERC7AApyIiIiIiIjIBViAExEREREREbkAC3AiIiIiIiIiF2ABTkREREREROQCLMCJiIiIiIiIXIAFOBEREREREZELsAAnIiIiIiIicgEW4EREREREREQuwAKciIiIiIiIyAVYgBMRERERERG5wP8BT8M0xIHmPysAAAAASUVORK5CYII=",
       "text/plain": [
-       "<Figure size 864x864 with 4 Axes>"
+       "<Figure size 1200x1200 with 4 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -415,25 +393,23 @@
     "for i, k in enumerate(range(2, 6)):\n",
     "    clustering = KMeans(k).fit(data)\n",
     "    a = ax[0 if i < 2 else 1, i % 2]\n",
-    "    a.scatter(data[:, 0], data[:, 1], c=clustering.labels_, cmap=\"Set1\")\n",
+    "    a.scatter(x=data[:, 0], y=data[:, 1], c=clustering.labels_, cmap=\"Set1\")\n",
     "    a.set_title(\"K = %d\" % k)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 864x864 with 4 Axes>"
+       "<Figure size 1200x1200 with 4 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -456,14 +432,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 864x864 with 4 Axes>"
+       "<Figure size 1200x1200 with 4 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -512,7 +486,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.9.18"
   }
  },
  "nbformat": 4,
diff --git a/lectures/notebooks/Lecture 09 - Neural Networks.ipynb b/lectures/notebooks/Lecture 09 - Neural Networks.ipynb
index 28bae67..a1efcb6 100644
--- a/lectures/notebooks/Lecture 09 - Neural Networks.ipynb	
+++ b/lectures/notebooks/Lecture 09 - Neural Networks.ipynb	
@@ -59,7 +59,7 @@
    "source": [
     "# by default pandas will recognize NaN (sodium nitride) as nan (not a number)\n",
     "# to turn off this behavior, we use na_filter=False\n",
-    "data_url = \"https://raw.githubusercontent.com/materialsvirtuallab/nano281/master/labs/lab2/data.csv\"\n",
+    "data_url = \"https://raw.githubusercontent.com/materialsvirtuallab/nano281/master/assets/data2022.csv\"\n",
     "data = pd.read_csv(data_url, index_col=0, na_filter=False)\n",
     "\n",
     "# Let's create a column of Composition objects using pymatgen.\n",
@@ -79,11 +79,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "el_data_url = \"https://raw.githubusercontent.com/materialsvirtuallab/nano281/master/labs/lab2/element_properties.csv\"\n",
+    "el_data_url = \"https://raw.githubusercontent.com/materialsvirtuallab/nano281/master/assets/element_properties.csv\"\n",
     "el_data = pd.read_csv(el_data_url, index_col=0)\n",
-    "el_data = el_data[\n",
-    "    [\"AtomicRadius\", \"AtomicWeight\", \"Column\", \"Electronegativity\", \"Row\"]\n",
-    "]"
+    "\n",
+    "el_data = el_data[[\"AtomicRadius\", \"AtomicWeight\", \"Electronegativity\"]]"
    ]
   },
   {
@@ -102,7 +101,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(124342, 21)\n"
+      "(681, 16)\n"
      ]
     }
    ],
@@ -184,39 +183,6 @@
     "    return fig\n",
     "\n",
     "\n",
-    "def plotly_grid_search_results(gs, plot_type=\"bar\", ylim=None):\n",
-    "    \"\"\"\n",
-    "    Plots the results of GridSearchCV.\n",
-    "    \"\"\"\n",
-    "    results = pd.DataFrame(gs.cv_results_)\n",
-    "    for c in results.columns:\n",
-    "        # Note that here we are working with just variations in one parameter.\n",
-    "        # So we can automatically find the name of that parameter.\n",
-    "        if c.startswith(\"param_\"):\n",
-    "            x = c\n",
-    "            break\n",
-    "    results = pd.DataFrame(gs.cv_results_)\n",
-    "    if plot_type == \"bar\":\n",
-    "        xval = [\"(%s)\" % l if not isinstance(l, tuple) else str(l) for l in results[x]]\n",
-    "        fig = go.Figure(\n",
-    "            data=[\n",
-    "                go.Bar(name=\"Train\", x=xval, y=results[\"mean_train_score\"]),\n",
-    "                go.Bar(name=\"Test\", x=xval, y=results[\"mean_test_score\"]),\n",
-    "            ]\n",
-    "        )\n",
-    "        fig.update_layout(barmode=\"group\")\n",
-    "    else:\n",
-    "        fig = go.Figure(\n",
-    "            data=[\n",
-    "                go.Scatter(name=\"Train\", x=results[x], y=results[\"mean_train_score\"]),\n",
-    "                go.Scatter(name=\"Test\", x=results[x], y=results[\"mean_test_score\"]),\n",
-    "            ]\n",
-    "        )\n",
-    "    fig.update_xaxes(title_text=x)\n",
-    "    fig.update_yaxes(title_text=\"Score\")\n",
-    "    return fig\n",
-    "\n",
-    "\n",
     "kfold = KFold(n_splits=5, shuffle=True, random_state=42)"
    ]
   },
@@ -234,8 +200,31 @@
    "execution_count": 7,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/shyue/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
+      "  warnings.warn(\n",
+      "/Users/shyue/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
+      "  warnings.warn(\n",
+      "/Users/shyue/miniconda3/envs/mavrl/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
+      "  warnings.warn(\n"
+     ]
+    },
     {
      "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),\n",
+       "             estimator=MLPClassifier(learning_rate_init=0.01, random_state=1),\n",
+       "             param_grid={&#x27;hidden_layer_sizes&#x27;: [3, 5, 7, (5, 3), (7, 5),\n",
+       "                                                (7, 5, 3)]},\n",
+       "             return_train_score=True, scoring=&#x27;accuracy&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),\n",
+       "             estimator=MLPClassifier(learning_rate_init=0.01, random_state=1),\n",
+       "             param_grid={&#x27;hidden_layer_sizes&#x27;: [3, 5, 7, (5, 3), (7, 5),\n",
+       "                                                (7, 5, 3)]},\n",
+       "             return_train_score=True, scoring=&#x27;accuracy&#x27;)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: MLPClassifier</label><div class=\"sk-toggleable__content\"><pre>MLPClassifier(learning_rate_init=0.01, random_state=1)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">MLPClassifier</label><div class=\"sk-toggleable__content\"><pre>MLPClassifier(learning_rate_init=0.01, random_state=1)</pre></div></div></div></div></div></div></div></div></div></div>"
+      ],
       "text/plain": [
        "GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),\n",
        "             estimator=MLPClassifier(learning_rate_init=0.01, random_state=1),\n",
@@ -261,6 +250,13 @@
     "gs.fit(x, y_class)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We will choose a reasonable MLP layer configuration (5, 3) and look at the effect of the alpha parameter."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 8,
@@ -268,1942 +264,47 @@
    "outputs": [
     {
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-       "        if (typeof require !== 'undefined') {\n",
-       "        require.undef(\"plotly\");\n",
-       "        define('plotly', function(require, exports, module) {\n",
-       "            /**\n",
-       "* plotly.js v2.11.1\n",
-       "* Copyright 2012-2022, Plotly, Inc.\n",
-       "* All rights reserved.\n",
-       "* Licensed under the MIT license\n",
-       "*/\n",
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-       " */\n",
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t[0]=s*(h*v-p*m)-f*(l*v-c*m)+g*(l*p-c*h),t[1]=-(n*(h*v-p*m)-f*(i*v-a*m)+g*(i*p-a*h)),t[2]=n*(l*v-c*m)-s*(i*v-a*m)+g*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*m)-u*(l*v-c*m)+d*(l*p-c*h)),t[5]=r*(h*v-p*m)-u*(i*v-a*m)+d*(i*p-a*h),t[6]=-(r*(l*v-c*m)-o*(i*v-a*m)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*g)-u*(s*v-c*g)+d*(s*p-c*f),t[9]=-(r*(f*v-p*g)-u*(n*v-a*g)+d*(n*p-a*f)),t[10]=r*(s*v-c*g)-o*(n*v-a*g)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*m-h*g)-u*(s*m-l*g)+d*(s*h-l*f)),t[13]=r*(f*m-h*g)-u*(n*m-i*g)+d*(n*h-i*f),t[14]=-(r*(s*m-l*g)-o*(n*m-i*g)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],196:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],204:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],205:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],206:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],222:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],225:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,g):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var gi=function(t){this.property=t,this.value=new di(t,void 0)};gi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},gi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var mi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};mi.prototype.getValue=function(t){return x(this._values[t].value.value)},mi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},mi.prototype.getTransition=function(t){return x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},mi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},mi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn(\"SymbolInstanceArray\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn(\"GlyphOffsetArray\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn(\"SymbolLineVertexArray\",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=Ha(a,c,\"source\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=Ha(a,c,\"composite\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function Ha(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\"line-pattern\":{source:Bi,composite:Bi},\"fill-pattern\":{source:Bi,composite:Bi},\"fill-extrusion-pattern\":{source:Bi,composite:Bi}}[t]}(t);return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(gs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),g+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=m[g],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=1-m-v,x=i.z*y+r.z*m+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,g={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(g)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=gs(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],m=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,g,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var L=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,g,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,m,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,h),this.addCurrentVertex(u,g,1,1,h,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,h,!0),this.addCurrentVertex(u,m,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,g=d.x+1,m=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:g,y:m-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:g-1,y:m},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:g+v,y:m},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];m.x+=c,m.y+=u}})(t.positionedLines,m,Z,J,d,g,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];if(m.rect){var v=m.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&m.vertical,T=m.metrics.advance*m.scale/2;if(l&&e.verticalizable){var k=24*(m.scale-1),A=(24-m.metrics.width*m.scale)/2;_=p.lineOffset/2-(m.imageName?-A:k)}if(m.imageName){var M=s[m.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[m.x+T,m.y]:[0,0],E=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(m.metrics.left-y)*m.scale-T+E[0],P=(-m.metrics.top-y)*m.scale+E[1],I=C+v.w*m.scale/b,O=P+v.h*m.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=m.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*m.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),g=0,m=d;g<m.length;g+=1){var v=m[g];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new su(p,l,c,u,d);g.tile=f,t.push(g)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=go,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m<f.length;m++){var v=[];ut(f[m],v,r,n,i,!0),v.length&&g.push(v)}if(g.length){if(s.lineMetrics&&\"LineString\"===h){for(m=0;m<g.length;m++)l.push(Q(u.id,h,g[m],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===g.length?(h=\"LineString\",g=g[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===g.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,g,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=gt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(gt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(gt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function gt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new m(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,g=o&&h>1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=m,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===h?r.push(c):(c.parentId=m,r.push(V(p/h,d/h,m,h,g)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],g=t.createExpression(d),m=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=g.value,a[f]=m.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ue(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g);m=S.useVertical,(S.notEnoughRoom||m||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=le(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)g.push(le(m*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=te(g,o),v=ee(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(g,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ge=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};ge.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var me=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),g=Qt(f,h,p,this.transform,d),m=null;if(h){var v=$t(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=be(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new me(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ge(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ge(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new ge(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ge(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new ge(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=r[g],v=i.opacities[g];m?v=o:v||(v=p,i.opacities[g]=v),r[g]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=g[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,g=c;d<g.length;d+=1)p();var m=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)m(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var g=0,m=this._order;g<m.length;g+=1){var v=m[g],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=g[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==g.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,m,e.transform,q),Y=$t(M.posMatrix,v,m,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,g,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,g,f,m):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=g.textSizeData,v=t.evaluateSizeForZoom(m,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(g,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),g=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,g,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),M.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},m):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++){var m=i[g];if(this.style._layers[m].is3D()){this.opaquePassCutoff=g;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&gn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-g.zoom)-2;if(g.zoom===h||w>T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new oi;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new jn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(gi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||vi(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=gi(this._eventsInProgress),a=gi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var g=this._eventsInProgress[d],m=g.handlerName,v=g.originalEvent;this._handlersById[m].isActive()||(delete this._eventsInProgress[d],h=r[m]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=gi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new mi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,g=r.data,m=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(g)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:m}),m.onAdd&&m.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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-       "/*\n",
-       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
-       " * @license MIT\n",
-       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
-       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(h)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(h,d);if(t)return t}return!!g&&u(h,g)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!g&&g.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(m=n[u])[0],h=(m[1],m[m.length-1]);m[m.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,g=s.matches_head,m=n[p],v=g?m[0]:m[m.length-1],y=g?m[1]:m[m.length-2],x=g?m[m.length-1]:m[0],b=g?m[m.length-2]:m[1];return e.pointsCollinear(y,v,d)&&(g?(r&&r.chainRemoveHead(s.index,d),m.shift()):(r&&r.chainRemoveTail(s.index,d),m.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(g?(r&&r.chainRemoveTail(s.index,v),m.pop()):(r&&r.chainRemoveHead(s.index,v),m.shift())),r&&r.chainClose(s.index),void i.push(m)):void(g?(r&&r.chainAddHead(s.index,d),m.unshift(d)):(r&&r.chainAddTail(s.index,d),m.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],g=h,m=0;m<c;m++,g+=u){var v=this.exif_format_read(l,g);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),g=s(t,l+r,i);e.item_loc[u]={length:g,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],272:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,o=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,s=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,l=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:\"px\"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e=\"\",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[\"\"])[0];if(a.test(c)){var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\"),m=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=m(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:M.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"./attributes\":349,\"./common_defaults\":352}],355:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=g(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,g=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,g,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=g-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(m(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],g=a[r.startarrowhead||0],m=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*m+r.standoff,_=g.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),g=t(\"../titles\"),m=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),gt=0,mt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),g.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),g=15.6;if(f.node()&&(g=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),mt=a.width,(gt=a.height)>g&&(h[1]-=(gt-g)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),mt=a.width,gt=a.height),o){if(gt){if(gt+=5,\"top\"===j)it.domain[1]-=gt/R.h,h[1]*=-1;else{it.domain[0]+=gt/R.h;var v=m.lineCount(f);h[1]+=(1-v)*g}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else mt&&(\"right\"===j&&(it.domain[0]+=(mt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,g=!o&&\"right\"===j,m=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,m=n.height)),g&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,m+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=m;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+m-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=g?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?gt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+gt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-m))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var g=d[0];i(g.x0)&&i(g.y0)&&(h=ht(g),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var m=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var x=m[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,gt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=gt;var mt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};mt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,mt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var m=p[o],v=p[o+1],y=m[m.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),g={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,g).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var m,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),m=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;m<b?(m=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):m>i.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-m+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,g),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(m,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),g=d.LINE_SPACING,m=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital 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in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:g},u.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:g},u.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return c(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:g},u.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=m(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:y}},{\"../../fonts/ploticon\":482,\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../plots/plots\":619,\"../../registry\":638,\"../shapes/draw\":450}],427:[function(t,e,r){\"use strict\";var n=t(\"./buttons\"),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\"./buttons\":426}],428:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if(\"string\"==typeof i){if(void 0===l[i])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),g=e._has(\"cartesian\"),m=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(g||b||y||x||_)+v+m+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):m?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];g&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!g&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));m?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(g||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e})(r)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==I.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==c.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(O)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),u?u.update(t,f):e._modeBar=s(t,f)}else u&&(u.destroy(),delete e._modeBar)}},{\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../../traces/scatter/subtypes\":952,\"../fx/helpers\":402,\"./buttons\":426,\"./constants\":427,\"./modebar\":431}],431:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../fonts/ploticon\"),s=t(\"../../version\").version,l=new DOMParser;function c(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=c.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var 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t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},\"date\"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/animation_attributes\":548,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"./constants\":460}],460:[function(t,e,r){\"use 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T={y:e.y,b:u.height*g[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*g[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*g[b]),i.autoMargin(t,m(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var g=c.lineCount(l),m=(a.currentValueMaxLines+1-g)*e.currentvalue.font.size*p;return 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n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"d3-format\").format,o=t(\"fast-isnumeric\"),s=t(\"../constants/numerical\"),l=s.FP_SAFE,c=-l,u=s.BADNUM,f=e.exports={};f.adjustFormat=function(t){return!t||/^\\d[.]\\df/.test(t)||/[.]\\d%/.test(t)?t:\"0.f\"===t?\"~f\":/^\\d%/.test(t)?\"~%\":/^\\ds/.test(t)?\"~s\":!/^[~,.0$]/.test(t)&&/[&fps]/.test(t)?\"~\"+t:t};var h={};f.warnBadFormat=function(t){var e=String(t);h[e]||(h[e]=1,f.warn('encountered bad format: \"'+e+'\"'))},f.noFormat=function(t){return String(t)},f.numberFormat=function(t){var e;try{e=a(f.adjustFormat(t))}catch(e){return f.warnBadFormat(t),f.noFormat}return e},f.nestedProperty=t(\"./nested_property\"),f.keyedContainer=t(\"./keyed_container\"),f.relativeAttr=t(\"./relative_attr\"),f.isPlainObject=t(\"./is_plain_object\"),f.toLogRange=t(\"./to_log_range\"),f.relinkPrivateKeys=t(\"./relink_private\");var 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l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,g=o.MINZOOM*r.pixelRatio;function m(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":561,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],595:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":528,\"../cartesian/axes\":554}],596:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1124,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),g=t(\"../../lib/str2rgbarray\"),m=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return m(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g<c.length;++g)\"skip\"!==(t=e.traces[c[g]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function m(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:m(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:m(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:m(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=m(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=m(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=m(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(g(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-M),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var L=m[1][a]-m[0][a];m[0][a]-=L/32,m[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=m[0][a];m[0][a]=m[1][a],m[1][a]=C}}else{var P=s.range;m[0][a]=s.r2l(P[0]),m[1][a]=s.r2l(P[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],610:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert 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types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":365,\"../components/shapes/draw_newshape/attributes\":451,\"../lib/extend\":493,\"./animation_attributes\":548,\"./font_attributes\":585,\"./pad_attributes\":618}],611:[function(t,e,r){\"use strict\";var n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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g=c.select(s._subplot.div);if(!(null===g.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var m=e._glimages.append(\"g\");m.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),m.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),m.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=g.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var 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n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),f=u.rectMode,h=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:A(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),a[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<i.length;r++){var c=i[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",a[\"layout-\"+r]=n}var u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var 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n=t(\"../../components/color/attributes\"),i=t(\"../cartesian/layout_attributes\"),a=t(\"../domain\").attributes,o=t(\"../../lib\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=s({color:i.color,showline:o({},i.showline,{dflt:!0}),linecolor:i.linecolor,linewidth:i.linewidth,showgrid:o({},i.showgrid,{dflt:!0}),gridcolor:i.gridcolor,gridwidth:i.gridwidth},\"plot\",\"from-root\"),c=s({tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,ticklabelstep:i.ticklabelstep,showticklabels:i.showticklabels,showtickprefix:i.showtickprefix,tickprefix:i.tickprefix,showticksuffix:i.showticksuffix,ticksuffix:i.ticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickfont:i.tickfont,tickangle:i.tickangle,tickformat:i.tickformat,tickformatstops:i.tickformatstops,layer:i.layer},\"plot\",\"from-root\"),u={visible:o({},i.visible,{dflt:!0}),type:o({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:o({},i.autorange,{editType:\"plot\"}),rangemode:{valType:\"enumerated\",values:[\"tozero\",\"nonnegative\",\"normal\"],dflt:\"tozero\",editType:\"calc\"},range:o({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],editType:\"plot\"}),categoryorder:i.categoryorder,categoryarray:i.categoryarray,angle:{valType:\"angle\",editType:\"plot\"},side:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"clockwise\",editType:\"plot\"},title:{text:o({},i.title.text,{editType:\"plot\",dflt:\"\"}),font:o({},i.title.font,{editType:\"plot\"}),editType:\"plot\"},hoverformat:i.hoverformat,uirevision:{valType:\"any\",editType:\"none\"},editType:\"calc\",_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}};o(u,l,c);var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../plots\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../cartesian/set_convert\"),d=t(\"./set_convert\"),g=t(\"../cartesian/autorange\").doAutoRange,m=t(\"../cartesian/dragbox\"),v=t(\"../../components/dragelement\"),y=t(\"../../components/fx\"),x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),A=t(\"../../plot_api/subroutines\").redrawReglTraces,M=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),L=t(\"../smith/helpers\"),C=L.smith,P=L.reactanceArc,I=L.resistanceArc,O=L.smithTransform,z=o._,D=o.mod,R=o.deg2rad,F=o.rad2deg;function 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r,n,i,a,o,l,p=this,d=t.domain,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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n=t(\"../../components/fx\"),i=t(\"../../registry\"),a=t(\"../../components/color\"),o=t(\"../../lib\").fillText,s=t(\"./helpers\").getLineWidth,l=t(\"../../plots/cartesian/axes\").hoverLabelText,c=t(\"../../constants/numerical\").BADNUM;function u(t,e,r,i,a){var s,u,f,h,p,d,g,m=t.cd,v=m[0].trace,y=m[0].t,x=\"closest\"===i,b=\"waterfall\"===v.type,_=t.maxHoverDistance,w=t.maxSpikeDistance;\"h\"===v.orientation?(s=r,u=e,f=\"y\",h=\"x\",p=z,d=I):(s=e,u=r,f=\"x\",h=\"y\",d=z,p=I);var T=v[f+\"period\"],k=x||T;function A(t){return S(t,-1)}function M(t){return S(t,1)}function S(t,e){var r=t.w;return t[f]+e*r/2}function E(t){return t[f+\"End\"]-t[f+\"Start\"]}var L=x?A:T?function(t){return t.p-E(t)/2}:function(t){return Math.min(A(t),t.p-y.bardelta/2)},C=x?M:T?function(t){return t.p+E(t)/2}:function(t){return Math.max(M(t),t.p+y.bardelta/2)};function P(t,e,r){return a.finiteRange&&(r=0),n.inbox(t-s,e-s,r+Math.min(1,Math.abs(e-t)/g)-1)}function I(t){return P(L(t),C(t),_)}function O(t){var 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r=t[0].trace,n=e[r.geo],i=n._subplot,l=r.locationmode,c=r._length,u=\"geojson-id\"===l?a.extractTraceFeature(t):o(r,i.topojson),f=[],h=[],p=0;p<c;p++){var d=t[p],g=\"geojson-id\"===l?d.fOut:a.locationToFeature(l,d.loc,u);if(g){d.geojson=g,d.ct=g.properties.ct,d._polygons=a.feature2polygons(g);var m=a.computeBbox(g);f.push(m[0],m[2]),h.push(m[1],m[3])}else d.geojson=null}if(\"geojson\"===n.fitbounds&&\"geojson-id\"===l){var v=a.computeBbox(a.getTraceGeojson(r));f=[v[0],v[2]],h=[v[1],v[3]]}var y={padded:!0};r._extremes.lon=s(n.lonaxis._ax,f,y),r._extremes.lat=s(n.lataxis._ax,h,y)},plot:function(t,e,r){var a=e.layers.backplot.select(\".choroplethlayer\");i.makeTraceGroups(a,r,\"trace choropleth\").each((function(e){var 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n=t(\"../choropleth/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../choropleth/attributes\":716}],726:[function(t,e,r){\"use 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p,d,g,m=a.makeColorScaleFuncFromTrace(e),v=e.marker,y=v.line||{};i.isArrayOrTypedArray(v.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(y.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(y.width)&&(g=function(t){return t.mlw});for(var x=0;x<t.length;x++){var b=t[x],_=b.fOut;if(_){var w=_.properties;w.fc=m(b.z),p&&(w.mo=p(b)),d&&(w.mlc=d(b)),g&&(w.mlw=g(b)),b.ct=w.ct,b._polygons=l.feature2polygons(_)}}var T=p?{type:\"identity\",property:\"mo\"}:v.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:y.color,\"line-width\":g?{type:\"identity\",property:\"mlw\"}:y.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",f.geojson={type:\"FeatureCollection\",features:h},c(t),f},convertOnSelect:c}},{\"../../components/colorscale\":378,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/geo_location_utils\":496,\"../../lib/geojson_utils\":497,\"fast-isnumeric\":190}],727:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),a=t(\"./attributes\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":376,\"./label_defaults\":750}],757:[function(t,e,r){\"use strict\";var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/attributes\"),o=t(\"../scattermapbox/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({lon:o.lon,lat:o.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:o.text,hovertext:o.hovertext,hoverinfo:s({},a.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},n(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scattermapbox/attributes\":993}],763:[function(t,e,r){\"use strict\";var 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e=t[0].trace,r=!0===e.visible&&0!==e._length,c=e._opts={heatmap:{layout:{visibility:\"none\"},paint:{}},geojson:l()};if(!r)return c;var u,f=[],h=e.z,p=e.radius,d=i.isArrayOrTypedArray(h)&&h.length,g=i.isArrayOrTypedArray(p);for(u=0;u<t.length;u++){var m=t[u],v=m.lonlat;if(v[0]!==s){var y={};if(d){var x=m.z;y.z=x!==s?x:0}g&&(y.r=n(p[u])&&p[u]>0?+p[u]:0),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:v},properties:y})}}var b=o.extractOpts(e),_=b.reversescale?o.flipScale(b.colorscale):b.colorscale,w=_[0][1],T=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,a.opacity(w)<1?w:a.addOpacity(w,0)];for(u=1;u<_.length;u++)T.push(_[u][0],_[u][1]);var k=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return i.extendFlat(c.heatmap.paint,{\"heatmap-weight\":d?k:1/(b.max-b.min),\"heatmap-color\":T,\"heatmap-radius\":g?{type:\"identity\",property:\"r\"}:e.radius,\"heatmap-opacity\":e.opacity}),c.geojson={type:\"FeatureCollection\",features:f},c.heatmap.layout.visibility=\"visible\",c}},{\"../../components/color\":366,\"../../components/colorscale\":378,\"../../constants/numerical\":479,\"../../lib\":503,\"../../lib/geojson_utils\":497,\"fast-isnumeric\":190}],765:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),a=t(\"./attributes\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"lon\")||[],c=s(\"lat\")||[],u=Math.min(l.length,c.length);u?(e._length=u,s(\"z\"),s(\"radius\"),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},{\"../../components/colorscale/defaults\":376,\"../../lib\":503,\"./attributes\":762}],766:[function(t,e,r){\"use 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a&&-1===a.indexOf(\"plotly-\"))return a}},moduleType:\"trace\",name:\"densitymapbox\",basePlotModule:t(\"../../plots/mapbox\"),categories:[\"mapbox\",\"gl\",\"showLegend\"],meta:{hr_name:\"density_mapbox\"}}},{\"../../plots/mapbox\":613,\"../heatmap/colorbar\":795,\"../scattermapbox/format_labels\":997,\"./attributes\":762,\"./calc\":763,\"./defaults\":765,\"./event_data\":766,\"./hover\":767,\"./plot\":769}],769:[function(t,e,r){\"use strict\";var n=t(\"./convert\"),i=t(\"../../plots/mapbox/constants\").traceLayerPrefix;function a(t,e){this.type=\"densitymapbox\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"heatmap\",i+e+\"-heatmap\"]],this.below=null}var o=a.prototype;o.update=function(t){var e=this.subplot,r=this.layerList,i=n(t),a=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(i.geojson),a!==this.below&&(this._removeLayers(),this._addLayers(i,a),this.below=a);for(var o=0;o<r.length;o++){var 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t=i.numbersScaler(h);D+=t[2];var e,r=S(g,\"numbersScale\",1,t[0],D,Math.min);g._scaleNumbers||(r=1),e=g._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,g._numbersTop=r*h.top+e;var n=h[T];\"center\"===T&&(n=(h.left+h.right)/2);var a=m-r*n;return a=S(g,\"numbersTranslate\",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:g,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:m}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll(\"g.angular\").data(D?e:[]);Y.exit().remove();var W=O.selectAll(\"g.angularaxis\").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,g=a.size,m=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[g.l+g.w/2,g.t+g.h/2+m/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+m)/2-t/2*(m-v)).outerRadius((v+m)/2+t/2*(m-v)).startAngle(-E)}function P(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+m*Math.cos(t),b[1]-m*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr(\"transform\",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"../../plots/cartesian/axis_defaults\":556,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/cartesian/position_defaults\":572,\"./constants\":858,\"@plotly/d3\":58,\"d3-interpolate\":116}],862:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374,\"../streamtube/calc\":1045}],864:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var 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s=o[0];i(t,s,r,a)}},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcats\"),a=e._has&&e._has(\"parcats\");i&&!a&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":593,\"./plot\":887}],883:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,g,m=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category 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r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+\"-\"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=m[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,g))}},{\"../../components/colorscale/calc\":374,\"../../components/colorscale/helpers\":377,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/filter_unique.js\":494,\"../../lib/gup\":500,\"fast-isnumeric\":190}],884:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r(\"values\"),a=r(\"visible\");if(i&&i.length||(a=e.visible=!1),a){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),h(\"hoveron\"),h(\"hovertemplate\"),h(\"arrangement\"),h(\"bundlecolors\"),h(\"sortpaths\"),h(\"counts\");var g={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",g);var m={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/domain\":584,\"../parcoords/merge_length\":898,\"./attributes\":881}],885:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":881,\"./base_plot\":882,\"./calc\":883,\"./defaults\":884,\"./plot\":887}],886:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"../../plot_api/plot_api\"),o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../components/drawing\"),u=t(\"tinycolor2\"),f=t(\"../../lib/svg_text_utils\");function h(t,e,r,i){var a=t.map(F.bind(0,e,r)),o=i.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=o.selectAll(\"g.trace.parcats\").data(a,p),h=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return l(t.x,t.y)})),h.append(\"g\").attr(\"class\",\"paths\");var y=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);y.attr(\"fill\",(function(t){return t.model.color}));var x=y.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(x),y.attr(\"d\",(function(t){return t.svgD})),x.empty()||y.sort(g),y.exit().remove(),y.on(\"mouseover\",m).on(\"mouseout\",v).on(\"click\",b),h.append(\"g\").attr(\"class\",\"dimensions\");var w=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);w.enter().append(\"g\").attr(\"class\",\"dimension\"),w.attr(\"transform\",(function(t){return l(t.x,0)})),w.exit().remove();var A=w.selectAll(\"g.category\").data((function(t){return t.categories}),p),M=A.enter().append(\"g\").attr(\"class\",\"category\");A.attr(\"transform\",(function(t){return l(0,t.y)})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),A.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(M);var S=A.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr(\"fill\",(function(t){return t.color}));var E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function g(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function m(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var m=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(m.x+m.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+g.left,y:_-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(g),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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_=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),A.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return 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t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var 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t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":893,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":888,\"./base_plot\":891,\"./calc\":892,\"./defaults\":894}],891:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":900,\"@plotly/d3\":58}],892:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500}],893:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],894:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],896:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":890,\"./plot\":900}],897:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],902:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],903:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],904:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":901,\"fast-isnumeric\":190}],905:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],906:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],907:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":901,\"./base_plot\":902,\"./calc\":903,\"./defaults\":904,\"./layout_attributes\":908,\"./layout_defaults\":909,\"./plot\":910,\"./style\":911,\"./style_one\":912}],908:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],909:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":908}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[m.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),g=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=m.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:g,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:g-p*i.r,_y1:u?s+t.BL[1]:g+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(m.castOption(e.pull,t.pts)||0)>=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(y,g),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,i.attr(\"transform\",l.getTextTransform(t.transform));var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":905,\"./helpers\":906,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":912,\"@plotly/d3\":58}],912:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":906}],913:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":927}],914:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*g,a.node.y[_]*m];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:g,height:m,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:g,dragPerpendicular:f?g:m,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" \"+o+\",\"+h+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){o=!0}));var s=t._fullLayout._dragCover,g=r.filter((function(t){return y(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(g,m);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",O),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",O);var _=b.selectAll(\".\"+l.cn.sankeyLinks).data(v,m);_.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=_.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),m);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(z,b,i.linkEvents),L.style(\"stroke\",(function(t){return I(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return I(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return I(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||o||s?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var 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n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),m.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,m),s.extraText=m.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,m.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":938}],967:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":388,\"../../plots/cartesian/axes\":554,\"../scatter/plot\":948}],969:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var m=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(m.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":503,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":969}],972:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],973:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return M[t]?M[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?A:-A}),M[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,g=-1/0,m=0,v=0;m<f;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":944,\"../scatter/subtypes\":952,\"./constants\":982,\"./helpers\":987,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],984:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m),m(\"xhoverformat\"),m(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/period_defaults\":947,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"../scatter/xy_defaults\":954,\"./attributes\":979,\"./helpers\":987}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],986:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":936}],987:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":982}],988:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,g=t.cd,m=g[0].t,v=g[0].trace,y=t.xa,x=t.ya,b=m.x,_=m.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(m.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?m.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):m.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=m.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/get_trace_color\":937}],989:[function(t,e,r){arguments[4][896][0].apply(r,arguments)},{\"./base_index\":980,\"./plot\":990,dup:896}],990:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}(e.exports=function(t,e,r){if(r.length){var g,m,v=t._fullLayout,y=e._scene,x=e.xaxis,b=e.yaxis;if(y)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),g=0;g<_;g++)y.glText[g]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(g=0;g<T;g++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(g=0;g<_;g++)y.glText[g].update(y.textOptions[g])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=y.lineOptions[e+1];if(m){var v=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(v.length/2);e--;){var x=v[2*e],b=v[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=y.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),y.fill2d.update(y.fillOptions))}var M=v.dragmode,S=l(M),E=v.clickmode.indexOf(\"select\")>-1;for(g=0;g<_;g++){var L=r[g][0],C=L.trace,P=L.t,I=P.index,O=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=y.selectBatch[I]=s.selIndices2selPoints(C),F={};for(m=0;m<R.length;m++)F[R[m]]=1;var B=[];for(m=0;m<O;m++)F[m]||B.push(m);y.unselectBatch[I]=B}var N=P.xpx=new Array(O),j=P.ypx=new Array(O);for(m=0;m<O;m++)N[m]=x.c2p(z[m]),j[m]=b.c2p(D[m])}else P.xpx=P.ypx=null}if(S){if(y.select2d||(y.select2d=n(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(g=0;g<_;g++)U[g]=y.selectBatch[g].length||y.unselectBatch[g].length?y.markerUnselectedOptions[g]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":943,\"../scatter/subtypes\":952,\"./edit_style\":985,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],991:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n(\"\",{colorAttr:\"u/v/w 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e,r,i,a,s,l,c,u,f,h,p,d,g=t._x,m=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,A=\"\";for(y&&(c=g[0],f=m[0],p=v[0]),y>1&&(u=g[y-1],h=m[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,g[e]),b=Math.min(b,g[e]),_=Math.max(_,m[e]),w=Math.min(w,m[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||g[e]===c||(a=!0,A+=\"x\"),s||m[e]===f||(s=!0,A+=\"y\"),l||v[e]===p||(l=!0,A+=\"z\");a||(A+=\"x\"),s||(A+=\"y\"),l||(A+=\"z\");var M=o(t._x),S=o(t._y),E=o(t._z);A=(A=(A=A.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(f>h?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var L=function(){y=0,M=[],S=[],E=[]};(!y||y<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?g:\"y\"===t?m:v},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},I=function(t){return t[y-1]<t[0]?-1:1},O=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=I(C(A[1])),V=I(C(A[3])),H=I(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Y=j(e,r+1,i),W=j(e+1,r,i);if(O[q]*U<O[G]*U&&z[q]*V<z[Y]*V&&D[q]*H<D[W]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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v=n[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},{\"../../components/colorscale/calc\":374,\"../../lib\":503}],1046:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_streamtube3d,i=n.createTubeMesh,a=t(\"../../lib\"),o=t(\"../../lib/gl_format_color\").parseColorScale,s=t(\"../../components/colorscale\").extractOpts,l=t(\"../../plots/gl3d/zip3\"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=u.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,f={};function d(t,e){var 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I.lightPosition=[z.x,z.y,z.z],I.ambient=e.lighting.ambient,I.diffuse=e.lighting.diffuse,I.specular=e.lighting.specular,I.roughness=e.lighting.roughness,I.fresnel=e.lighting.fresnel,I.opacity=e.opacity,e._pad=I.tubeScale*e.sizeref*2,I}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return 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_.remove();var D=null,R={};v&&_.each((function(t){R[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!D&&b.isEntry(t)&&(D=t)}));var F=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(M).descendants(),B=M.height+1,N=0,j=S;T.hasMultipleRoots&&b.isHierarchyRoot(M)&&(F=F.slice(1),B-=1,N=1,j+=1),F=F.filter((function(t){return t.y1<=j}));var U=p(k.rotation);U&&F.forEach((function(t){t.x0+=U,t.x1+=U}));var V=Math.min(B,S),H=function(t){return(t-N)/V*I},q=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},G=function(t){return s.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,O,z)},Y=function(t){return O+w(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},W=function(t){return z+w(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(_=_.data(F,b.getPtId)).enter().append(\"g\").classed(\"slice\",!0),v?_.exit().transition().each((function(){var t=n.select(this);t.select(\"path.surface\").transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=b.getPtId(t),n=R[r],i=R[b.getPtId(M)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+U;e=t.rpx1<i.rpx1?{x0:t.x0,x1:t.x1,rpx0:0,rpx1:0}:{x0:o,x1:o,rpx0:t.rpx0,rpx1:t.rpx1}}else{var s,l=b.getPtId(t.parent);_.each((function(t){if(b.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(b.getPtId(t)===r)return c=e}));var f=u.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(c/f),x1:h((c+1)/f)}}return a(n,e)}(t);return function(t){return G(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():_.exit().remove(),_.order();var X=null;if(v&&D){var Z=b.getPtId(D);_.each((function(t){null===X&&b.getPtId(t)===Z&&(X=t.x1)}))}var J=_;function K(t){var e=t.parent,r=R[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}v&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),f=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),v?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(D)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr(\"d\",G),c.call(y,M,t,e,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(m,i,k);var p=s.ensureSingle(c,\"g\",\"slicetext\"),_=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=g(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),g=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return m(Math.pow(t,g))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr(\"transform\",S(i,A))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var g,m=o.split(\"+\"),v=function(t){return-1!==m.indexOf(t)},y=[];if(v(\"label\")&&u.label&&y.push(u.label),u.hasOwnProperty(\"v\")&&v(\"value\")&&y.push(b.formatValue(u.v,l)),!h){v(\"current path\")&&y.push(b.getPath(t.data));var x=0;v(\"percent parent\")&&x++,v(\"percent entry\")&&x++,v(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){g=b.formatPercent(w,l),_&&(g+=\" of \"+t),y.push(g)};v(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),v(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),v(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return v(\"text\")&&(g=s.castOption(r,u.i,\"text\"),s.isValidTextValue(g)&&y.push(g)),y.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":906,\"../pie/plot\":910,\"./constants\":1052,\"./fx\":1054,\"./helpers\":1055,\"./style\":1060,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1060:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1062:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var 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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},{}],1070:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../lib/extend\").extendFlat,a=t(\"fast-isnumeric\");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1069,\"fast-isnumeric\":190}],1071:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},{\"../../lib\":503,\"../../plots/domain\":584,\"./attributes\":1066}],1073:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),moduleType:\"trace\",name:\"table\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1066,\"./base_plot\":1067,\"./calc\":1068,\"./defaults\":1072,\"./plot\":1074}],1074:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib\").numberFormat,o=t(\"../../lib/gup\"),s=t(\"../../components/drawing\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../lib\").raiseToTop,u=t(\"../../lib\").strTranslate,f=t(\"../../lib\").cancelTransition,h=t(\"./data_preparation_helper\"),p=t(\"./data_split_helpers\"),d=t(\"../../components/color\");function g(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function m(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function v(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function y(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return D(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return u(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return u(0,t.scrollbarState.topY||0)}));var c=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);c.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),c.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),c.transition().delay(0).duration(0),c.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(c.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r));!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:T(r.size,n,e),color:T(r.color,n,e),family:T(r.family,n,e)};t.rowNumber=t.key,t.align=T(t.calcdata.cells.align,n,e),t.cellBorderWidth=T(t.calcdata.cells.line.width,n,e),t.font=i}))}(l),function(t){t.attr(\"width\",(function(t){return t.column.columnWidth})).attr(\"stroke-width\",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);d.stroke(e,T(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),d.fill(e,T(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(function(t){var e=t.selectAll(\".\"+n.cn.cellRect).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"rect\").classed(n.cn.cellRect,!0),e}(l));var c=function(t){var e=t.selectAll(\".\"+n.cn.cellText).data(o.repeat,(function(t){return t.keyWithinBlock}));return 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n=t[Math.min(e,t.length-1)];return Array.isArray(n)?n[Math.min(r,n.length-1)]:n}return t}function k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",u(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=y(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=D(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),c=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,c=0;c<s.length;c++)l+=s[c].rowHeight;o.allRowsHeight=l;e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function g(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):g(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},m.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},m.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},m.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=f*m-h*v;v=f*v+h*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},m.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},m.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},m.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},m.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),g(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number 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fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(f,new a(1).iushln(d-m-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=m}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,g):o(u,r,n,s,h,p,c,d,g),i.free(d),i.free(g))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||i,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(m,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(A[0],A[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(q===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,A=u*m-h*d,M=u*v-p*d,S=f*m-h*g,E=f*v-p*g,L=h*v-p*m,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(g*T-m*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(m*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-g*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(g*x-d*_-m*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],g.push(Z[0],Z[1]),m.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=L[1]*m/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=L[3]*m/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*g[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var C=(m+1)%3,P=(m+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(m)?H=n<m.length?+m[n]:0:m&&(H=+m);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][g],L=a[1][y],C=a[2][m],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,A=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,A=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,A=x*h*f;break;case 1:b=d,_=v,k=m*f,A=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=g(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=g(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(m,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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-       "/*!\n",
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-       " * @license  MIT\n",
-       " */\n",
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l=0;l<3;++l){for(var c=0,f=0;f<3;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},h.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},h.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},h.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},h.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],c=l(a,o,s);a/=c,o/=c,s/=c;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=l(u-=a*p,f-=o*p,h-=s*p);u/=d,f/=d,h/=d;var g=i[2],m=i[6],v=i[10],y=g*a+m*o+v*s,x=g*u+m*f+v*h,b=l(g-=y*a+x*u,m-=y*o+x*f,v-=y*s+x*h);g/=b,m/=b,v/=b;var _=u*e+a*r,w=f*e+o*r,T=h*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},h.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],g=i[10],m=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=g;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return 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-       "/*!\n",
-       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
-       " *\n",
-       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
-       " * Licensed under the MIT license.\n",
-       " */\n",
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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],g=this.computedAngle[1],m=Math.cos(d),v=Math.sin(d),y=Math.cos(g),x=Math.sin(g),b=this.computedCenter,_=m*y,w=v*y,T=x,k=-m*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),g=(u/=d)*e+a*r,m=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,g,m,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),g=Math.max(h,p,d);h===g?(s=s<0?-1:1,l=f=0):d===g?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var m=c(s,l,f);s/=m,l/=m,f/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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-       "        });\n",
-       "        require(['plotly'], function(Plotly) {\n",
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+      "text/plain": [
+       "<Figure size 1600x800 with 1 Axes>"
       ]
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "execution_count": 8,
+     "metadata": {
+      "image/png": {
+       "height": 710,
+       "width": 1378
+      }
+     },
+     "output_type": "execute_result"
     },
     {
      "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "name": "Train",
-         "type": "bar",
-         "x": [
-          "(3)",
-          "(5)",
-          "(7)",
-          "(5, 3)",
-          "(7, 5)",
-          "(7, 5, 3)"
-         ],
-         "y": [
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-          0.7696152470427895,
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+      "text/plain": [
+       "<Figure size 1200x800 with 1 Axes>"
       ]
      },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plotly_grid_search_results(gs)\n",
-    "fig.update_yaxes(title_text=\"accuracy\")\n",
-    "fig.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Interestingly, only a single hidden layer MLP with 5 parameters seem to have achieved more or less converged performance, and more layers or neurons do not seem to be necessary. It should be noted that this is a relatively simple task, which may explain why deeper MLPs are not needed.\n",
-    "\n",
-    "Next, we will choose a reasonable MLP layer configuration (5, 3) and look at the effect of the alpha parameter."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "name": "Train",
-         "type": "scatter",
-         "x": [
-          1e-06,
-          1e-05,
-          0.0001,
-          0.001,
-          0.01,
-          0.1
-         ],
-         "y": [
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-          0.7696775813147548,
-          0.7678921905412996,
-          0.7614744077305252
-         ]
-        },
-        {
-         "name": "Test",
-         "type": "scatter",
-         "x": [
-          1e-06,
-          1e-05,
-          0.0001,
-          0.001,
-          0.01,
-          0.1
-         ],
-         "y": [
-          0.767142316327875,
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-          0.7668928828690131,
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-         ]
-        }
-       ],
-       "layout": {
-        "template": {
-         "data": {
-          "bar": [
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-            "error_x": {
-             "color": "#2a3f5f"
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-            "error_y": {
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-            "marker": {
-             "line": {
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-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
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-            },
-            "type": "bar"
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-          "barpolar": [
-           {
-            "marker": {
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-             "pattern": {
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-              "solidity": 0.2
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-            "type": "barpolar"
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-          "carpet": [
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-             "startlinecolor": "#2a3f5f"
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-            "baxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
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-            "type": "carpet"
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-          "choropleth": [
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-            "type": "choropleth"
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-          "contour": [
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-            "type": "contour"
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-          "contourcarpet": [
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-          "heatmap": [
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       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 1600x800 with 1 Axes>"
       ]
      },
      "metadata": {
       "image/png": {
-       "height": 274,
-       "width": 386
-      },
-      "needs_background": "light"
+       "height": 710,
+       "width": 1378
+      }
      },
      "output_type": "display_data"
     }
@@ -2220,9 +321,7 @@
     "gs.fit(x, y_class)\n",
     "# plot_grid_search_results(gs, plot_type='scatter').show()\n",
     "plt.xscale(\"log\")\n",
-    "fig = plotly_grid_search_results(gs, plot_type=\"scatter\")\n",
-    "fig.update_yaxes(title_text=\"accuracy\")\n",
-    "fig.update_xaxes(type=\"log\")"
+    "plot_grid_search_results(gs, plot_type=\"scatter\")"
    ]
   },
   {
@@ -2236,921 +335,59 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "'<' not supported between instances of 'tuple' and 'int'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/numpy/core/fromnumeric.py:59\u001b[0m, in \u001b[0;36m_wrapfunc\u001b[0;34m(obj, method, *args, **kwds)\u001b[0m\n\u001b[1;32m     58\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 59\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mbound\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     60\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m     61\u001b[0m     \u001b[38;5;66;03m# A TypeError occurs if the object does have such a method in its\u001b[39;00m\n\u001b[1;32m     62\u001b[0m     \u001b[38;5;66;03m# class, but its signature is not identical to that of NumPy's. This\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     66\u001b[0m     \u001b[38;5;66;03m# Call _wrapit from within the except clause to ensure a potential\u001b[39;00m\n\u001b[1;32m     67\u001b[0m     \u001b[38;5;66;03m# exception has a traceback chain.\u001b[39;00m\n",
+      "\u001b[0;31mTypeError\u001b[0m: '<' not supported between instances of 'tuple' and 'int'",
+      "\nDuring handling of the above exception, another exception occurred:\n",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[11], line 10\u001b[0m\n\u001b[1;32m      2\u001b[0m gs \u001b[38;5;241m=\u001b[39m GridSearchCV(\n\u001b[1;32m      3\u001b[0m     nn,\n\u001b[1;32m      4\u001b[0m     param_grid\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhidden_layer_sizes\u001b[39m\u001b[38;5;124m\"\u001b[39m: [(\u001b[38;5;241m3\u001b[39m), (\u001b[38;5;241m5\u001b[39m), (\u001b[38;5;241m7\u001b[39m), (\u001b[38;5;241m5\u001b[39m, \u001b[38;5;241m3\u001b[39m), (\u001b[38;5;241m7\u001b[39m, \u001b[38;5;241m5\u001b[39m), (\u001b[38;5;241m7\u001b[39m, \u001b[38;5;241m5\u001b[39m, \u001b[38;5;241m3\u001b[39m)]},\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m      7\u001b[0m     cv\u001b[38;5;241m=\u001b[39mkfold,\n\u001b[1;32m      8\u001b[0m )\n\u001b[1;32m      9\u001b[0m gs\u001b[38;5;241m.\u001b[39mfit(x, y_reg)\n\u001b[0;32m---> 10\u001b[0m \u001b[43mplot_grid_search_results\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mplot_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mbar\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
+      "Cell \u001b[0;32mIn[6], line 20\u001b[0m, in \u001b[0;36mplot_grid_search_results\u001b[0;34m(gs, plot_type, ylim)\u001b[0m\n\u001b[1;32m     18\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m16\u001b[39m, \u001b[38;5;241m8\u001b[39m))\n\u001b[1;32m     19\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m plot_type \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbar\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m---> 20\u001b[0m     ax \u001b[38;5;241m=\u001b[39m \u001b[43msns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbarplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mscore\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhue\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtype\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresults\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     21\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     22\u001b[0m     ax \u001b[38;5;241m=\u001b[39m sns\u001b[38;5;241m.\u001b[39mscatterplot(x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mscore\u001b[39m\u001b[38;5;124m\"\u001b[39m, hue\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtype\u001b[39m\u001b[38;5;124m\"\u001b[39m, data\u001b[38;5;241m=\u001b[39mresults)\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/seaborn/categorical.py:2343\u001b[0m, in \u001b[0;36mbarplot\u001b[0;34m(data, x, y, hue, order, hue_order, estimator, errorbar, n_boot, units, seed, orient, color, palette, saturation, fill, hue_norm, width, dodge, gap, log_scale, native_scale, formatter, legend, capsize, err_kws, ci, errcolor, errwidth, ax, **kwargs)\u001b[0m\n\u001b[1;32m   2339\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m ax\n\u001b[1;32m   2341\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m dodge \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mauto\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m   2342\u001b[0m     \u001b[38;5;66;03m# Needs to be before scale_categorical changes the coordinate series dtype\u001b[39;00m\n\u001b[0;32m-> 2343\u001b[0m     dodge \u001b[38;5;241m=\u001b[39m \u001b[43mp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_dodge_needed\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2345\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m p\u001b[38;5;241m.\u001b[39mvar_types\u001b[38;5;241m.\u001b[39mget(p\u001b[38;5;241m.\u001b[39morient) \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcategorical\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m native_scale:\n\u001b[1;32m   2346\u001b[0m     p\u001b[38;5;241m.\u001b[39mscale_categorical(p\u001b[38;5;241m.\u001b[39morient, order\u001b[38;5;241m=\u001b[39morder, formatter\u001b[38;5;241m=\u001b[39mformatter)\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/seaborn/categorical.py:384\u001b[0m, in \u001b[0;36m_CategoricalPlotter._dodge_needed\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    382\u001b[0m groupers \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m({\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39morient, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcol\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrow\u001b[39m\u001b[38;5;124m\"\u001b[39m} \u001b[38;5;241m&\u001b[39m \u001b[38;5;28mset\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvariables))\n\u001b[1;32m    383\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhue\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvariables:\n\u001b[0;32m--> 384\u001b[0m     orient \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot_data\u001b[49m\u001b[43m[\u001b[49m\u001b[43mgroupers\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalue_counts\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    385\u001b[0m     paired \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mplot_data[[\u001b[38;5;241m*\u001b[39mgroupers, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhue\u001b[39m\u001b[38;5;124m\"\u001b[39m]]\u001b[38;5;241m.\u001b[39mvalue_counts()\n\u001b[1;32m    386\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m orient\u001b[38;5;241m.\u001b[39msize \u001b[38;5;241m!=\u001b[39m paired\u001b[38;5;241m.\u001b[39msize\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/pandas/core/frame.py:7267\u001b[0m, in \u001b[0;36mDataFrame.value_counts\u001b[0;34m(self, subset, normalize, sort, ascending, dropna)\u001b[0m\n\u001b[1;32m   7264\u001b[0m     subset \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mtolist()\n\u001b[1;32m   7266\u001b[0m name \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mproportion\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m normalize \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcount\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 7267\u001b[0m counts \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgroupby\u001b[49m\u001b[43m(\u001b[49m\u001b[43msubset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdropna\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdropna\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mobserved\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgrouper\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msize\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   7268\u001b[0m counts\u001b[38;5;241m.\u001b[39mname \u001b[38;5;241m=\u001b[39m name\n\u001b[1;32m   7270\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m sort:\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/pandas/core/groupby/ops.py:689\u001b[0m, in \u001b[0;36mBaseGrouper.size\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    684\u001b[0m \u001b[38;5;129m@final\u001b[39m\n\u001b[1;32m    685\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msize\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Series:\n\u001b[1;32m    686\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    687\u001b[0m \u001b[38;5;124;03m    Compute group sizes.\u001b[39;00m\n\u001b[1;32m    688\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 689\u001b[0m     ids, _, ngroups \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgroup_info\u001b[49m\n\u001b[1;32m    690\u001b[0m     out: np\u001b[38;5;241m.\u001b[39mndarray \u001b[38;5;241m|\u001b[39m \u001b[38;5;28mlist\u001b[39m\n\u001b[1;32m    691\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ngroups:\n",
+      "File \u001b[0;32mproperties.pyx:36\u001b[0m, in \u001b[0;36mpandas._libs.properties.CachedProperty.__get__\u001b[0;34m()\u001b[0m\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/pandas/core/groupby/ops.py:729\u001b[0m, in \u001b[0;36mBaseGrouper.group_info\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    727\u001b[0m \u001b[38;5;129m@cache_readonly\u001b[39m\n\u001b[1;32m    728\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mgroup_info\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mtuple\u001b[39m[npt\u001b[38;5;241m.\u001b[39mNDArray[np\u001b[38;5;241m.\u001b[39mintp], npt\u001b[38;5;241m.\u001b[39mNDArray[np\u001b[38;5;241m.\u001b[39mintp], \u001b[38;5;28mint\u001b[39m]:\n\u001b[0;32m--> 729\u001b[0m     comp_ids, obs_group_ids \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_compressed_codes\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    731\u001b[0m     ngroups \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlen\u001b[39m(obs_group_ids)\n\u001b[1;32m    732\u001b[0m     comp_ids \u001b[38;5;241m=\u001b[39m ensure_platform_int(comp_ids)\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/pandas/core/groupby/ops.py:753\u001b[0m, in \u001b[0;36mBaseGrouper._get_compressed_codes\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    750\u001b[0m     \u001b[38;5;66;03m# FIXME: compress_group_index's second return value is int64, not intp\u001b[39;00m\n\u001b[1;32m    752\u001b[0m ping \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgroupings[\u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m--> 753\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mping\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcodes\u001b[49m, np\u001b[38;5;241m.\u001b[39marange(\u001b[38;5;28mlen\u001b[39m(ping\u001b[38;5;241m.\u001b[39mgroup_index), dtype\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39mintp)\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/pandas/core/groupby/grouper.py:691\u001b[0m, in \u001b[0;36mGrouping.codes\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    689\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m    690\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcodes\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m npt\u001b[38;5;241m.\u001b[39mNDArray[np\u001b[38;5;241m.\u001b[39msignedinteger]:\n\u001b[0;32m--> 691\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_codes_and_uniques\u001b[49m[\u001b[38;5;241m0\u001b[39m]\n",
+      "File \u001b[0;32mproperties.pyx:36\u001b[0m, in \u001b[0;36mpandas._libs.properties.CachedProperty.__get__\u001b[0;34m()\u001b[0m\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/pandas/core/groupby/grouper.py:801\u001b[0m, in \u001b[0;36mGrouping._codes_and_uniques\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    796\u001b[0m     uniques \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_uniques\n\u001b[1;32m    797\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    798\u001b[0m     \u001b[38;5;66;03m# GH35667, replace dropna=False with use_na_sentinel=False\u001b[39;00m\n\u001b[1;32m    799\u001b[0m     \u001b[38;5;66;03m# error: Incompatible types in assignment (expression has type \"Union[\u001b[39;00m\n\u001b[1;32m    800\u001b[0m     \u001b[38;5;66;03m# ndarray[Any, Any], Index]\", variable has type \"Categorical\")\u001b[39;00m\n\u001b[0;32m--> 801\u001b[0m     codes, uniques \u001b[38;5;241m=\u001b[39m \u001b[43malgorithms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfactorize\u001b[49m\u001b[43m(\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# type: ignore[assignment]\u001b[39;49;00m\n\u001b[1;32m    802\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgrouping_vector\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sort\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muse_na_sentinel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_dropna\u001b[49m\n\u001b[1;32m    803\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    804\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m codes, uniques\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/pandas/core/algorithms.py:802\u001b[0m, in \u001b[0;36mfactorize\u001b[0;34m(values, sort, use_na_sentinel, size_hint)\u001b[0m\n\u001b[1;32m    795\u001b[0m     codes, uniques \u001b[38;5;241m=\u001b[39m factorize_array(\n\u001b[1;32m    796\u001b[0m         values,\n\u001b[1;32m    797\u001b[0m         use_na_sentinel\u001b[38;5;241m=\u001b[39muse_na_sentinel,\n\u001b[1;32m    798\u001b[0m         size_hint\u001b[38;5;241m=\u001b[39msize_hint,\n\u001b[1;32m    799\u001b[0m     )\n\u001b[1;32m    801\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m sort \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(uniques) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 802\u001b[0m     uniques, codes \u001b[38;5;241m=\u001b[39m \u001b[43msafe_sort\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    803\u001b[0m \u001b[43m        \u001b[49m\u001b[43muniques\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    804\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcodes\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    805\u001b[0m \u001b[43m        \u001b[49m\u001b[43muse_na_sentinel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43muse_na_sentinel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    806\u001b[0m \u001b[43m        \u001b[49m\u001b[43massume_unique\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    807\u001b[0m \u001b[43m        \u001b[49m\u001b[43mverify\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    808\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    810\u001b[0m uniques \u001b[38;5;241m=\u001b[39m _reconstruct_data(uniques, original\u001b[38;5;241m.\u001b[39mdtype, original)\n\u001b[1;32m    812\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m codes, uniques\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/pandas/core/algorithms.py:1593\u001b[0m, in \u001b[0;36msafe_sort\u001b[0;34m(values, codes, use_na_sentinel, assume_unique, verify)\u001b[0m\n\u001b[1;32m   1587\u001b[0m ordered: AnyArrayLike\n\u001b[1;32m   1589\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m   1590\u001b[0m     \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(values\u001b[38;5;241m.\u001b[39mdtype, ExtensionDtype)\n\u001b[1;32m   1591\u001b[0m     \u001b[38;5;129;01mand\u001b[39;00m lib\u001b[38;5;241m.\u001b[39minfer_dtype(values, skipna\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m) \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmixed-integer\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   1592\u001b[0m ):\n\u001b[0;32m-> 1593\u001b[0m     ordered \u001b[38;5;241m=\u001b[39m \u001b[43m_sort_mixed\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1594\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1595\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/pandas/core/algorithms.py:1667\u001b[0m, in \u001b[0;36m_sort_mixed\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m   1665\u001b[0m num_pos \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m~\u001b[39mstr_pos \u001b[38;5;241m&\u001b[39m \u001b[38;5;241m~\u001b[39mnull_pos\n\u001b[1;32m   1666\u001b[0m str_argsort \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39margsort(values[str_pos])\n\u001b[0;32m-> 1667\u001b[0m num_argsort \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43margsort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m[\u001b[49m\u001b[43mnum_pos\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1668\u001b[0m \u001b[38;5;66;03m# convert boolean arrays to positional indices, then order by underlying values\u001b[39;00m\n\u001b[1;32m   1669\u001b[0m str_locs \u001b[38;5;241m=\u001b[39m str_pos\u001b[38;5;241m.\u001b[39mnonzero()[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mtake(str_argsort)\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/numpy/core/fromnumeric.py:1133\u001b[0m, in \u001b[0;36margsort\u001b[0;34m(a, axis, kind, order)\u001b[0m\n\u001b[1;32m   1025\u001b[0m \u001b[38;5;129m@array_function_dispatch\u001b[39m(_argsort_dispatcher)\n\u001b[1;32m   1026\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21margsort\u001b[39m(a, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, kind\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, order\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m   1027\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1028\u001b[0m \u001b[38;5;124;03m    Returns the indices that would sort an array.\u001b[39;00m\n\u001b[1;32m   1029\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1131\u001b[0m \n\u001b[1;32m   1132\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1133\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_wrapfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43margsort\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkind\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkind\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/numpy/core/fromnumeric.py:68\u001b[0m, in \u001b[0;36m_wrapfunc\u001b[0;34m(obj, method, *args, **kwds)\u001b[0m\n\u001b[1;32m     59\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m bound(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n\u001b[1;32m     60\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m     61\u001b[0m     \u001b[38;5;66;03m# A TypeError occurs if the object does have such a method in its\u001b[39;00m\n\u001b[1;32m     62\u001b[0m     \u001b[38;5;66;03m# class, but its signature is not identical to that of NumPy's. This\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     66\u001b[0m     \u001b[38;5;66;03m# Call _wrapit from within the except clause to ensure a potential\u001b[39;00m\n\u001b[1;32m     67\u001b[0m     \u001b[38;5;66;03m# exception has a traceback chain.\u001b[39;00m\n\u001b[0;32m---> 68\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_wrapit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/miniconda3/envs/mavrl/lib/python3.9/site-packages/numpy/core/fromnumeric.py:45\u001b[0m, in \u001b[0;36m_wrapit\u001b[0;34m(obj, method, *args, **kwds)\u001b[0m\n\u001b[1;32m     43\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m:\n\u001b[1;32m     44\u001b[0m     wrap \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m---> 45\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mgetattr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     46\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m wrap:\n\u001b[1;32m     47\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(result, mu\u001b[38;5;241m.\u001b[39mndarray):\n",
+      "\u001b[0;31mTypeError\u001b[0m: '<' not supported between instances of 'tuple' and 'int'"
+     ]
+    },
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+      "text/plain": [
+       "<Figure size 1600x800 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 684,
+       "width": 1331
+      }
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "nn = MLPRegressor(alpha=1e-4, random_state=1, learning_rate_init=0.01)\n",
+    "nn = MLPRegressor(alpha=1e-4, random_state=1, learning_rate_init=0.01, max_iter=10000)\n",
     "gs = GridSearchCV(\n",
     "    nn,\n",
     "    param_grid={\"hidden_layer_sizes\": [(3), (5), (7), (5, 3), (7, 5), (7, 5, 3)]},\n",
@@ -3159,10 +396,7 @@
     "    cv=kfold,\n",
     ")\n",
     "gs.fit(x, y_reg)\n",
-    "# plot_grid_search_results(gs).show()\n",
-    "fig = plotly_grid_search_results(gs)\n",
-    "fig.update_yaxes(title_text=\"-MSE\")\n",
-    "fig.show()"
+    "plot_grid_search_results(gs, plot_type=\"bar\")"
    ]
   },
   {
@@ -3176,934 +410,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "name": "Train",
-         "type": "bar",
-         "x": [
-          "(3)",
-          "(5)",
-          "(7)",
-          "(5, 3)",
-          "(7, 5)",
-          "(9, 7)",
-          "(11, 9)",
-          "(13, 11)",
-          "(7, 5, 3)"
-         ],
-         "y": [
-          -1.9579733294516306,
-          -1.7330980620879681,
-          -1.6736359890181984,
-          -1.7390264662005617,
-          -1.5912259024766757,
-          -1.523659527339457,
-          -1.5523370946686175,
-          -1.498495292867565,
-          -2.0263873569166404
-         ]
-        },
-        {
-         "name": "Test",
-         "type": "bar",
-         "x": [
-          "(3)",
-          "(5)",
-          "(7)",
-          "(5, 3)",
-          "(7, 5)",
-          "(9, 7)",
-          "(11, 9)",
-          "(13, 11)",
-          "(7, 5, 3)"
-         ],
-         "y": [
-          -1.9562381853996555,
-          -1.7331832999665693,
-          -1.674898369651207,
-          -1.743275878562542,
-          -1.589878609723409,
-          -1.5273388022124244,
-          -1.5531756290220198,
-          -1.5052279424852306,
-          -2.0324378693115515
-         ]
-        }
-       ],
-       "layout": {
-        "barmode": "group",
-        "template": {
-         "data": {
-          "bar": [
-           {
-            "error_x": {
-             "color": "#2a3f5f"
-            },
-            "error_y": {
-             "color": "#2a3f5f"
-            },
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "bar"
-           }
-          ],
-          "barpolar": [
-           {
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "barpolar"
-           }
-          ],
-          "carpet": [
-           {
-            "aaxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "baxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "type": "carpet"
-           }
-          ],
-          "choropleth": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "choropleth"
-           }
-          ],
-          "contour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "contour"
-           }
-          ],
-          "contourcarpet": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "contourcarpet"
-           }
-          ],
-          "heatmap": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmap"
-           }
-          ],
-          "heatmapgl": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmapgl"
-           }
-          ],
-          "histogram": [
-           {
-            "marker": {
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "histogram"
-           }
-          ],
-          "histogram2d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
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                       {\"responsive\": true}                    ).then(function(){\n",
-       "                            \n",
-       "var gd = document.getElementById('2f76658e-6732-48db-80de-3711a056353f');\n",
-       "var x = new MutationObserver(function (mutations, observer) {{\n",
-       "        var display = window.getComputedStyle(gd).display;\n",
-       "        if (!display || display === 'none') {{\n",
-       "            console.log([gd, 'removed!']);\n",
-       "            Plotly.purge(gd);\n",
-       "            observer.disconnect();\n",
-       "        }}\n",
-       "}});\n",
-       "\n",
-       "// Listen for the removal of the full notebook cells\n",
-       "var notebookContainer = gd.closest('#notebook-container');\n",
-       "if (notebookContainer) {{\n",
-       "    x.observe(notebookContainer, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "// Listen for the clearing of the current output cell\n",
-       "var outputEl = gd.closest('.output');\n",
-       "if (outputEl) {{\n",
-       "    x.observe(outputEl, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "                        })                };                });            </script>        </div>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "x_small = data[[c for c in data.columns if c.endswith(\"Mean\")]]\n",
-    "nn = MLPRegressor(alpha=1e-4, random_state=1, learning_rate_init=0.01)\n",
+    "nn = MLPRegressor(alpha=1e-4, random_state=1, learning_rate_init=0.01, max_iter=10000)\n",
     "gs = GridSearchCV(\n",
     "    nn,\n",
     "    param_grid={\n",
@@ -4124,10 +436,7 @@
     "    cv=kfold,\n",
     ")\n",
     "gs.fit(x_small, y_reg)\n",
-    "# plot_grid_search_results(gs).show()\n",
-    "fig = plotly_grid_search_results(gs)\n",
-    "fig.update_yaxes(title_text=\"-MSE\")\n",
-    "fig.show()"
+    "fig = plot_grid_search_results(gs)"
    ]
   },
   {
@@ -4141,26 +450,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2022-06-28 07:03:19.884639: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "389/389 [==============================] - 0s 228us/step\n",
-      "3498/3498 [==============================] - 1s 217us/step\n",
-      "Training MSE = 1.694; Test MSE = 1.639\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "x_train, x_test, y_train, y_test = train_test_split(\n",
     "    x_small, y_reg, test_size=0.9, random_state=42\n",
@@ -4214,7 +506,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.9.18"
   }
  },
  "nbformat": 4,
diff --git a/lectures/notebooks/metal_insulator_tree.dot b/lectures/notebooks/metal_insulator_tree.dot
deleted file mode 100644
index b3665e9..0000000
--- a/lectures/notebooks/metal_insulator_tree.dot
+++ /dev/null
@@ -1,925 +0,0 @@
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-edge [fontname="helvetica"] ;
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-1 [label="AtomicRadiusMin <= 0.675\nentropy = 0.602\nsamples = 32036\nvalue = [27330, 4706]"] ;
-0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
-2 [label="RowMean <= 2.943\nentropy = 0.998\nsamples = 4265\nvalue = [2247, 2018]"] ;
-1 -> 2 ;
-3 [label="AtomicWeightMean <= 8.99\nentropy = 0.889\nsamples = 1788\nvalue = [548, 1240]"] ;
-2 -> 3 ;
-4 [label="ColumnMax <= 7.5\nentropy = 0.246\nsamples = 294\nvalue = [12, 282]"] ;
-3 -> 4 ;
-5 [label="AtomicWeightMean <= 3.821\nentropy = 0.711\nsamples = 36\nvalue = [7, 29]"] ;
-4 -> 5 ;
-6 [label="RowMax <= 1.5\nentropy = 0.439\nsamples = 22\nvalue = [2, 20]"] ;
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-6 -> 7 ;
-8 [label="entropy = 0.0\nsamples = 7\nvalue = [0, 7]"] ;
-6 -> 8 ;
-9 [label="AtomicWeightMean <= 6.919\nentropy = 0.94\nsamples = 14\nvalue = [5, 9]"] ;
-5 -> 9 ;
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-9 -> 10 ;
-11 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]"] ;
-10 -> 11 ;
-12 [label="entropy = 0.0\nsamples = 4\nvalue = [4, 0]"] ;
-10 -> 12 ;
-13 [label="AtomicWeightMean <= 8.603\nentropy = 0.503\nsamples = 9\nvalue = [1, 8]"] ;
-9 -> 13 ;
-14 [label="entropy = 0.0\nsamples = 2\nvalue = [0, 2]"] ;
-13 -> 14 ;
-15 [label="entropy = 0.592\nsamples = 7\nvalue = [1, 6]"] ;
-13 -> 15 ;
-16 [label="ElectronegativityMean <= 2.368\nentropy = 0.138\nsamples = 258\nvalue = [5, 253]"] ;
-4 -> 16 ;
-17 [label="AtomicWeightMax <= 212.474\nentropy = 0.071\nsamples = 234\nvalue = [2, 232]"] ;
-16 -> 17 ;
-18 [label="ColumnMean <= 6.938\nentropy = 0.04\nsamples = 233\nvalue = [1, 232]"] ;
-17 -> 18 ;
-19 [label="entropy = 0.0\nsamples = 222\nvalue = [0, 222]"] ;
-18 -> 19 ;
-20 [label="entropy = 0.439\nsamples = 11\nvalue = [1, 10]"] ;
-18 -> 20 ;
-21 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]"] ;
-17 -> 21 ;
-22 [label="RowMean <= 1.225\nentropy = 0.544\nsamples = 24\nvalue = [3, 21]"] ;
-16 -> 22 ;
-23 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]"] ;
-22 -> 23 ;
-24 [label="AtomicRadiusMean <= 0.509\nentropy = 0.426\nsamples = 23\nvalue = [2, 21]"] ;
-22 -> 24 ;
-25 [label="entropy = 0.0\nsamples = 18\nvalue = [0, 18]"] ;
-24 -> 25 ;
-26 [label="entropy = 0.971\nsamples = 5\nvalue = [2, 3]"] ;
-24 -> 26 ;
-27 [label="AtomicRadiusMax <= 1.975\nentropy = 0.942\nsamples = 1494\nvalue = [536, 958]"] ;
-3 -> 27 ;
-28 [label="ColumnMean <= 13.871\nentropy = 0.98\nsamples = 1180\nvalue = [491, 689]"] ;
-27 -> 28 ;
-29 [label="AtomicWeightMax <= 46.411\nentropy = 1.0\nsamples = 907\nvalue = [444, 463]"] ;
-28 -> 29 ;
-30 [label="ElectronegativityMean <= 1.486\nentropy = 0.767\nsamples = 201\nvalue = [45, 156]"] ;
-29 -> 30 ;
-31 [label="entropy = 0.684\nsamples = 11\nvalue = [9, 2]"] ;
-30 -> 31 ;
-32 [label="entropy = 0.7\nsamples = 190\nvalue = [36, 154]"] ;
-30 -> 32 ;
-33 [label="AtomicWeightMax <= 61.24\nentropy = 0.988\nsamples = 706\nvalue = [399, 307]"] ;
-29 -> 33 ;
-34 [label="entropy = 0.874\nsamples = 299\nvalue = [211, 88]"] ;
-33 -> 34 ;
-35 [label="entropy = 0.996\nsamples = 407\nvalue = [188, 219]"] ;
-33 -> 35 ;
-36 [label="AtomicRadiusMean <= 0.719\nentropy = 0.663\nsamples = 273\nvalue = [47, 226]"] ;
-28 -> 36 ;
-37 [label="ColumnMean <= 14.258\nentropy = 0.966\nsamples = 74\nvalue = [29, 45]"] ;
-36 -> 37 ;
-38 [label="entropy = 0.722\nsamples = 25\nvalue = [20, 5]"] ;
-37 -> 38 ;
-39 [label="entropy = 0.688\nsamples = 49\nvalue = [9, 40]"] ;
-37 -> 39 ;
-40 [label="ElectronegativityMean <= 2.491\nentropy = 0.438\nsamples = 199\nvalue = [18, 181]"] ;
-36 -> 40 ;
-41 [label="entropy = 0.0\nsamples = 30\nvalue = [0, 30]"] ;
-40 -> 41 ;
-42 [label="entropy = 0.489\nsamples = 169\nvalue = [18, 151]"] ;
-40 -> 42 ;
-43 [label="ColumnMean <= 12.796\nentropy = 0.593\nsamples = 314\nvalue = [45, 269]"] ;
-27 -> 43 ;
-44 [label="ElectronegativityMean <= 2.298\nentropy = 0.639\nsamples = 278\nvalue = [45, 233]"] ;
-43 -> 44 ;
-45 [label="ElectronegativityMean <= 1.713\nentropy = 0.476\nsamples = 186\nvalue = [19, 167]"] ;
-44 -> 45 ;
-46 [label="entropy = 0.0\nsamples = 23\nvalue = [0, 23]"] ;
-45 -> 46 ;
-47 [label="entropy = 0.519\nsamples = 163\nvalue = [19, 144]"] ;
-45 -> 47 ;
-48 [label="AtomicRadiusMean <= 1.079\nentropy = 0.859\nsamples = 92\nvalue = [26, 66]"] ;
-44 -> 48 ;
-49 [label="entropy = 0.816\nsamples = 87\nvalue = [22, 65]"] ;
-48 -> 49 ;
-50 [label="entropy = 0.722\nsamples = 5\nvalue = [4, 1]"] ;
-48 -> 50 ;
-51 [label="entropy = 0.0\nsamples = 36\nvalue = [0, 36]"] ;
-43 -> 51 ;
-52 [label="AtomicRadiusMax <= 1.775\nentropy = 0.898\nsamples = 2477\nvalue = [1699, 778]"] ;
-2 -> 52 ;
-53 [label="ColumnMean <= 13.183\nentropy = 0.653\nsamples = 1190\nvalue = [990, 200]"] ;
-52 -> 53 ;
-54 [label="ColumnMin <= 6.5\nentropy = 0.476\nsamples = 1026\nvalue = [921, 105]"] ;
-53 -> 54 ;
-55 [label="ColumnMean <= 11.236\nentropy = 0.592\nsamples = 665\nvalue = [570, 95]"] ;
-54 -> 55 ;
-56 [label="AtomicRadiusMax <= 1.475\nentropy = 0.404\nsamples = 546\nvalue = [502, 44]"] ;
-55 -> 56 ;
-57 [label="entropy = 0.159\nsamples = 303\nvalue = [296, 7]"] ;
-56 -> 57 ;
-58 [label="entropy = 0.615\nsamples = 243\nvalue = [206, 37]"] ;
-56 -> 58 ;
-59 [label="AtomicWeightMean <= 41.496\nentropy = 0.985\nsamples = 119\nvalue = [68, 51]"] ;
-55 -> 59 ;
-60 [label="entropy = 0.712\nsamples = 41\nvalue = [33, 8]"] ;
-59 -> 60 ;
-61 [label="entropy = 0.992\nsamples = 78\nvalue = [35, 43]"] ;
-59 -> 61 ;
-62 [label="ColumnMean <= 12.422\nentropy = 0.183\nsamples = 361\nvalue = [351, 10]"] ;
-54 -> 62 ;
-63 [label="ColumnMin <= 10.5\nentropy = 0.035\nsamples = 271\nvalue = [270, 1]"] ;
-62 -> 63 ;
-64 [label="entropy = 0.0\nsamples = 262\nvalue = [262, 0]"] ;
-63 -> 64 ;
-65 [label="entropy = 0.503\nsamples = 9\nvalue = [8, 1]"] ;
-63 -> 65 ;
-66 [label="ElectronegativityMin <= 1.67\nentropy = 0.469\nsamples = 90\nvalue = [81, 9]"] ;
-62 -> 66 ;
-67 [label="entropy = 0.799\nsamples = 33\nvalue = [25, 8]"] ;
-66 -> 67 ;
-68 [label="entropy = 0.127\nsamples = 57\nvalue = [56, 1]"] ;
-66 -> 68 ;
-69 [label="ColumnMean <= 13.528\nentropy = 0.982\nsamples = 164\nvalue = [69, 95]"] ;
-53 -> 69 ;
-70 [label="ColumnMean <= 13.453\nentropy = 0.918\nsamples = 45\nvalue = [30, 15]"] ;
-69 -> 70 ;
-71 [label="AtomicRadiusMean <= 1.064\nentropy = 0.999\nsamples = 29\nvalue = [14, 15]"] ;
-70 -> 71 ;
-72 [label="entropy = 0.863\nsamples = 14\nvalue = [4, 10]"] ;
-71 -> 72 ;
-73 [label="entropy = 0.918\nsamples = 15\nvalue = [10, 5]"] ;
-71 -> 73 ;
-74 [label="entropy = 0.0\nsamples = 16\nvalue = [16, 0]"] ;
-70 -> 74 ;
-75 [label="ElectronegativityMin <= 1.735\nentropy = 0.913\nsamples = 119\nvalue = [39, 80]"] ;
-69 -> 75 ;
-76 [label="entropy = 0.0\nsamples = 29\nvalue = [0, 29]"] ;
-75 -> 76 ;
-77 [label="ColumnMean <= 13.978\nentropy = 0.987\nsamples = 90\nvalue = [39, 51]"] ;
-75 -> 77 ;
-78 [label="entropy = 0.439\nsamples = 11\nvalue = [10, 1]"] ;
-77 -> 78 ;
-79 [label="entropy = 0.948\nsamples = 79\nvalue = [29, 50]"] ;
-77 -> 79 ;
-80 [label="ColumnMean <= 9.84\nentropy = 0.993\nsamples = 1287\nvalue = [709, 578]"] ;
-52 -> 80 ;
-81 [label="ElectronegativityMin <= 1.05\nentropy = 0.963\nsamples = 933\nvalue = [571, 362]"] ;
-80 -> 81 ;
-82 [label="AtomicWeightMin <= 13.009\nentropy = 0.989\nsamples = 785\nvalue = [441, 344]"] ;
-81 -> 82 ;
-83 [label="ElectronegativityMean <= 1.471\nentropy = 0.922\nsamples = 83\nvalue = [28, 55]"] ;
-82 -> 83 ;
-84 [label="entropy = 0.65\nsamples = 12\nvalue = [10, 2]"] ;
-83 -> 84 ;
-85 [label="entropy = 0.817\nsamples = 71\nvalue = [18, 53]"] ;
-83 -> 85 ;
-86 [label="ElectronegativityMean <= 1.539\nentropy = 0.977\nsamples = 702\nvalue = [413, 289]"] ;
-82 -> 86 ;
-87 [label="entropy = 0.0\nsamples = 14\nvalue = [14, 0]"] ;
-86 -> 87 ;
-88 [label="entropy = 0.981\nsamples = 688\nvalue = [399, 289]"] ;
-86 -> 88 ;
-89 [label="ElectronegativityMean <= 2.009\nentropy = 0.534\nsamples = 148\nvalue = [130, 18]"] ;
-81 -> 89 ;
-90 [label="AtomicWeightMean <= 152.158\nentropy = 0.209\nsamples = 91\nvalue = [88, 3]"] ;
-89 -> 90 ;
-91 [label="entropy = 0.154\nsamples = 90\nvalue = [88, 2]"] ;
-90 -> 91 ;
-92 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]"] ;
-90 -> 92 ;
-93 [label="AtomicWeightMean <= 78.457\nentropy = 0.831\nsamples = 57\nvalue = [42, 15]"] ;
-89 -> 93 ;
-94 [label="entropy = 1.0\nsamples = 26\nvalue = [13, 13]"] ;
-93 -> 94 ;
-95 [label="entropy = 0.345\nsamples = 31\nvalue = [29, 2]"] ;
-93 -> 95 ;
-96 [label="ElectronegativityMean <= 2.139\nentropy = 0.965\nsamples = 354\nvalue = [138, 216]"] ;
-80 -> 96 ;
-97 [label="ElectronegativityMin <= 1.05\nentropy = 0.409\nsamples = 61\nvalue = [5, 56]"] ;
-96 -> 97 ;
-98 [label="AtomicWeightMin <= 8.876\nentropy = 0.127\nsamples = 57\nvalue = [1, 56]"] ;
-97 -> 98 ;
-99 [label="entropy = 0.918\nsamples = 3\nvalue = [1, 2]"] ;
-98 -> 99 ;
-100 [label="entropy = 0.0\nsamples = 54\nvalue = [0, 54]"] ;
-98 -> 100 ;
-101 [label="entropy = 0.0\nsamples = 4\nvalue = [4, 0]"] ;
-97 -> 101 ;
-102 [label="ColumnMean <= 10.563\nentropy = 0.994\nsamples = 293\nvalue = [133, 160]"] ;
-96 -> 102 ;
-103 [label="ElectronegativityMin <= 0.965\nentropy = 0.896\nsamples = 64\nvalue = [44, 20]"] ;
-102 -> 103 ;
-104 [label="entropy = 0.999\nsamples = 31\nvalue = [15, 16]"] ;
-103 -> 104 ;
-105 [label="entropy = 0.533\nsamples = 33\nvalue = [29, 4]"] ;
-103 -> 105 ;
-106 [label="ElectronegativityMean <= 2.266\nentropy = 0.964\nsamples = 229\nvalue = [89, 140]"] ;
-102 -> 106 ;
-107 [label="entropy = 0.477\nsamples = 39\nvalue = [4, 35]"] ;
-106 -> 107 ;
-108 [label="entropy = 0.992\nsamples = 190\nvalue = [85, 105]"] ;
-106 -> 108 ;
-109 [label="ElectronegativityMin <= 1.05\nentropy = 0.459\nsamples = 27771\nvalue = [25083, 2688]"] ;
-1 -> 109 ;
-110 [label="ColumnMax <= 14.5\nentropy = 0.786\nsamples = 4965\nvalue = [3799, 1166]"] ;
-109 -> 110 ;
-111 [label="ColumnMax <= 10.5\nentropy = 0.607\nsamples = 3831\nvalue = [3261, 570]"] ;
-110 -> 111 ;
-112 [label="ElectronegativityMax <= 1.05\nentropy = 0.297\nsamples = 1235\nvalue = [1170, 65]"] ;
-111 -> 112 ;
-113 [label="AtomicWeightMin <= 31.044\nentropy = 0.523\nsamples = 221\nvalue = [195, 26]"] ;
-112 -> 113 ;
-114 [label="RowMax <= 4.5\nentropy = 0.742\nsamples = 76\nvalue = [60, 16]"] ;
-113 -> 114 ;
-115 [label="entropy = 0.169\nsamples = 40\nvalue = [39, 1]"] ;
-114 -> 115 ;
-116 [label="entropy = 0.98\nsamples = 36\nvalue = [21, 15]"] ;
-114 -> 116 ;
-117 [label="ElectronegativityMean <= 0.961\nentropy = 0.362\nsamples = 145\nvalue = [135, 10]"] ;
-113 -> 117 ;
-118 [label="entropy = 0.4\nsamples = 126\nvalue = [116, 10]"] ;
-117 -> 118 ;
-119 [label="entropy = 0.0\nsamples = 19\nvalue = [19, 0]"] ;
-117 -> 119 ;
-120 [label="ElectronegativityMean <= 1.267\nentropy = 0.235\nsamples = 1014\nvalue = [975, 39]"] ;
-112 -> 120 ;
-121 [label="ElectronegativityMax <= 1.255\nentropy = 0.085\nsamples = 660\nvalue = [653, 7]"] ;
-120 -> 121 ;
-122 [label="entropy = 0.0\nsamples = 228\nvalue = [228, 0]"] ;
-121 -> 122 ;
-123 [label="entropy = 0.12\nsamples = 432\nvalue = [425, 7]"] ;
-121 -> 123 ;
-124 [label="AtomicWeightMean <= 25.568\nentropy = 0.438\nsamples = 354\nvalue = [322, 32]"] ;
-120 -> 124 ;
-125 [label="entropy = 0.971\nsamples = 10\nvalue = [4, 6]"] ;
-124 -> 125 ;
-126 [label="entropy = 0.386\nsamples = 344\nvalue = [318, 26]"] ;
-124 -> 126 ;
-127 [label="ElectronegativityMax <= 2.545\nentropy = 0.711\nsamples = 2596\nvalue = [2091, 505]"] ;
-111 -> 127 ;
-128 [label="AtomicRadiusMean <= 1.785\nentropy = 0.68\nsamples = 2501\nvalue = [2051, 450]"] ;
-127 -> 128 ;
-129 [label="ColumnMin <= 1.5\nentropy = 0.629\nsamples = 2172\nvalue = [1829, 343]"] ;
-128 -> 129 ;
-130 [label="entropy = 0.711\nsamples = 1136\nvalue = [915, 221]"] ;
-129 -> 130 ;
-131 [label="entropy = 0.523\nsamples = 1036\nvalue = [914, 122]"] ;
-129 -> 131 ;
-132 [label="ColumnMax <= 13.5\nentropy = 0.91\nsamples = 329\nvalue = [222, 107]"] ;
-128 -> 132 ;
-133 [label="entropy = 0.789\nsamples = 224\nvalue = [171, 53]"] ;
-132 -> 133 ;
-134 [label="entropy = 0.999\nsamples = 105\nvalue = [51, 54]"] ;
-132 -> 134 ;
-135 [label="ElectronegativityMean <= 1.642\nentropy = 0.982\nsamples = 95\nvalue = [40, 55]"] ;
-127 -> 135 ;
-136 [label="RowMean <= 4.018\nentropy = 0.414\nsamples = 12\nvalue = [11, 1]"] ;
-135 -> 136 ;
-137 [label="entropy = 0.0\nsamples = 10\nvalue = [10, 0]"] ;
-136 -> 137 ;
-138 [label="entropy = 1.0\nsamples = 2\nvalue = [1, 1]"] ;
-136 -> 138 ;
-139 [label="ColumnMean <= 10.125\nentropy = 0.934\nsamples = 83\nvalue = [29, 54]"] ;
-135 -> 139 ;
-140 [label="entropy = 0.737\nsamples = 53\nvalue = [11, 42]"] ;
-139 -> 140 ;
-141 [label="entropy = 0.971\nsamples = 30\nvalue = [18, 12]"] ;
-139 -> 141 ;
-142 [label="ElectronegativityMean <= 1.757\nentropy = 0.998\nsamples = 1134\nvalue = [538, 596]"] ;
-110 -> 142 ;
-143 [label="AtomicRadiusMin <= 1.325\nentropy = 0.966\nsamples = 871\nvalue = [341, 530]"] ;
-142 -> 143 ;
-144 [label="AtomicRadiusMean <= 1.352\nentropy = 0.846\nsamples = 505\nvalue = [138, 367]"] ;
-143 -> 144 ;
-145 [label="AtomicWeightMin <= 7.977\nentropy = 0.999\nsamples = 64\nvalue = [33, 31]"] ;
-144 -> 145 ;
-146 [label="entropy = 0.949\nsamples = 49\nvalue = [31, 18]"] ;
-145 -> 146 ;
-147 [label="entropy = 0.567\nsamples = 15\nvalue = [2, 13]"] ;
-145 -> 147 ;
-148 [label="AtomicWeightMax <= 205.792\nentropy = 0.792\nsamples = 441\nvalue = [105, 336]"] ;
-144 -> 148 ;
-149 [label="entropy = 0.764\nsamples = 428\nvalue = [95, 333]"] ;
-148 -> 149 ;
-150 [label="entropy = 0.779\nsamples = 13\nvalue = [10, 3]"] ;
-148 -> 150 ;
-151 [label="ElectronegativityMean <= 1.615\nentropy = 0.991\nsamples = 366\nvalue = [203, 163]"] ;
-143 -> 151 ;
-152 [label="ElectronegativityMax <= 2.24\nentropy = 1.0\nsamples = 287\nvalue = [140, 147]"] ;
-151 -> 152 ;
-153 [label="entropy = 1.0\nsamples = 278\nvalue = [140, 138]"] ;
-152 -> 153 ;
-154 [label="entropy = 0.0\nsamples = 9\nvalue = [0, 9]"] ;
-152 -> 154 ;
-155 [label="ColumnMean <= 11.045\nentropy = 0.727\nsamples = 79\nvalue = [63, 16]"] ;
-151 -> 155 ;
-156 [label="entropy = 0.818\nsamples = 63\nvalue = [47, 16]"] ;
-155 -> 156 ;
-157 [label="entropy = 0.0\nsamples = 16\nvalue = [16, 0]"] ;
-155 -> 157 ;
-158 [label="ColumnMean <= 10.633\nentropy = 0.813\nsamples = 263\nvalue = [197, 66]"] ;
-142 -> 158 ;
-159 [label="ElectronegativityMax <= 2.41\nentropy = 0.384\nsamples = 147\nvalue = [136, 11]"] ;
-158 -> 159 ;
-160 [label="AtomicRadiusMax <= 1.525\nentropy = 0.235\nsamples = 130\nvalue = [125, 5]"] ;
-159 -> 160 ;
-161 [label="entropy = 0.722\nsamples = 15\nvalue = [12, 3]"] ;
-160 -> 161 ;
-162 [label="entropy = 0.127\nsamples = 115\nvalue = [113, 2]"] ;
-160 -> 162 ;
-163 [label="AtomicWeightMean <= 142.54\nentropy = 0.937\nsamples = 17\nvalue = [11, 6]"] ;
-159 -> 163 ;
-164 [label="entropy = 0.971\nsamples = 10\nvalue = [4, 6]"] ;
-163 -> 164 ;
-165 [label="entropy = 0.0\nsamples = 7\nvalue = [7, 0]"] ;
-163 -> 165 ;
-166 [label="AtomicRadiusMean <= 1.234\nentropy = 0.998\nsamples = 116\nvalue = [61, 55]"] ;
-158 -> 166 ;
-167 [label="entropy = 0.0\nsamples = 18\nvalue = [0, 18]"] ;
-166 -> 167 ;
-168 [label="ElectronegativityMean <= 1.809\nentropy = 0.956\nsamples = 98\nvalue = [61, 37]"] ;
-166 -> 168 ;
-169 [label="entropy = 0.94\nsamples = 28\nvalue = [10, 18]"] ;
-168 -> 169 ;
-170 [label="entropy = 0.844\nsamples = 70\nvalue = [51, 19]"] ;
-168 -> 170 ;
-171 [label="ColumnMean <= 12.638\nentropy = 0.354\nsamples = 22806\nvalue = [21284, 1522]"] ;
-109 -> 171 ;
-172 [label="ColumnMean <= 2.069\nentropy = 0.311\nsamples = 21797\nvalue = [20578, 1219]"] ;
-171 -> 172 ;
-173 [label="RowMean <= 3.003\nentropy = 0.747\nsamples = 47\nvalue = [10, 37]"] ;
-172 -> 173 ;
-174 [label="AtomicWeightMean <= 18.519\nentropy = 0.439\nsamples = 11\nvalue = [10, 1]"] ;
-173 -> 174 ;
-175 [label="entropy = 0.0\nsamples = 5\nvalue = [5, 0]"] ;
-174 -> 175 ;
-176 [label="ElectronegativityMean <= 1.311\nentropy = 0.65\nsamples = 6\nvalue = [5, 1]"] ;
-174 -> 176 ;
-177 [label="entropy = 0.0\nsamples = 5\nvalue = [5, 0]"] ;
-176 -> 177 ;
-178 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]"] ;
-176 -> 178 ;
-179 [label="entropy = 0.0\nsamples = 36\nvalue = [0, 36]"] ;
-173 -> 179 ;
-180 [label="ElectronegativityMax <= 1.98\nentropy = 0.305\nsamples = 21750\nvalue = [20568, 1182]"] ;
-172 -> 180 ;
-181 [label="ColumnMax <= 3.5\nentropy = 0.206\nsamples = 9233\nvalue = [8935, 298]"] ;
-180 -> 181 ;
-182 [label="AtomicWeightMin <= 160.713\nentropy = 0.031\nsamples = 953\nvalue = [950, 3]"] ;
-181 -> 182 ;
-183 [label="entropy = 0.0\nsamples = 812\nvalue = [812, 0]"] ;
-182 -> 183 ;
-184 [label="entropy = 0.149\nsamples = 141\nvalue = [138, 3]"] ;
-182 -> 184 ;
-185 [label="ColumnMean <= 2.111\nentropy = 0.222\nsamples = 8280\nvalue = [7985, 295]"] ;
-181 -> 185 ;
-186 [label="entropy = 0.0\nsamples = 5\nvalue = [0, 5]"] ;
-185 -> 186 ;
-187 [label="entropy = 0.219\nsamples = 8275\nvalue = [7985, 290]"] ;
-185 -> 187 ;
-188 [label="AtomicWeightMax <= 37.965\nentropy = 0.368\nsamples = 12517\nvalue = [11633, 884]"] ;
-180 -> 188 ;
-189 [label="ElectronegativityMean <= 1.817\nentropy = 0.974\nsamples = 37\nvalue = [15, 22]"] ;
-188 -> 189 ;
-190 [label="entropy = 0.863\nsamples = 14\nvalue = [10, 4]"] ;
-189 -> 190 ;
-191 [label="entropy = 0.755\nsamples = 23\nvalue = [5, 18]"] ;
-189 -> 191 ;
-192 [label="ColumnMean <= 9.293\nentropy = 0.362\nsamples = 12480\nvalue = [11618, 862]"] ;
-188 -> 192 ;
-193 [label="entropy = 0.302\nsamples = 6469\nvalue = [6122, 347]"] ;
-192 -> 193 ;
-194 [label="entropy = 0.422\nsamples = 6011\nvalue = [5496, 515]"] ;
-192 -> 194 ;
-195 [label="AtomicRadiusMean <= 1.224\nentropy = 0.882\nsamples = 1009\nvalue = [706, 303]"] ;
-171 -> 195 ;
-196 [label="ColumnMean <= 13.938\nentropy = 0.996\nsamples = 424\nvalue = [196, 228]"] ;
-195 -> 196 ;
-197 [label="ElectronegativityMean <= 2.222\nentropy = 0.984\nsamples = 212\nvalue = [122, 90]"] ;
-196 -> 197 ;
-198 [label="ElectronegativityMean <= 1.987\nentropy = 1.0\nsamples = 182\nvalue = [93, 89]"] ;
-197 -> 198 ;
-199 [label="entropy = 0.516\nsamples = 26\nvalue = [23, 3]"] ;
-198 -> 199 ;
-200 [label="entropy = 0.992\nsamples = 156\nvalue = [70, 86]"] ;
-198 -> 200 ;
-201 [label="ColumnMin <= 4.5\nentropy = 0.211\nsamples = 30\nvalue = [29, 1]"] ;
-197 -> 201 ;
-202 [label="entropy = 1.0\nsamples = 2\nvalue = [1, 1]"] ;
-201 -> 202 ;
-203 [label="entropy = 0.0\nsamples = 28\nvalue = [28, 0]"] ;
-201 -> 203 ;
-204 [label="AtomicRadiusMean <= 1.073\nentropy = 0.933\nsamples = 212\nvalue = [74, 138]"] ;
-196 -> 204 ;
-205 [label="ElectronegativityMean <= 2.307\nentropy = 0.737\nsamples = 101\nvalue = [21, 80]"] ;
-204 -> 205 ;
-206 [label="entropy = 0.391\nsamples = 52\nvalue = [4, 48]"] ;
-205 -> 206 ;
-207 [label="entropy = 0.931\nsamples = 49\nvalue = [17, 32]"] ;
-205 -> 207 ;
-208 [label="ElectronegativityMean <= 2.043\nentropy = 0.999\nsamples = 111\nvalue = [53, 58]"] ;
-204 -> 208 ;
-209 [label="entropy = 0.966\nsamples = 74\nvalue = [29, 45]"] ;
-208 -> 209 ;
-210 [label="entropy = 0.935\nsamples = 37\nvalue = [24, 13]"] ;
-208 -> 210 ;
-211 [label="AtomicRadiusMean <= 1.404\nentropy = 0.552\nsamples = 585\nvalue = [510, 75]"] ;
-195 -> 211 ;
-212 [label="ColumnMax <= 14.5\nentropy = 0.766\nsamples = 242\nvalue = [188, 54]"] ;
-211 -> 212 ;
-213 [label="ColumnMean <= 12.732\nentropy = 0.405\nsamples = 99\nvalue = [91, 8]"] ;
-212 -> 213 ;
-214 [label="entropy = 0.918\nsamples = 3\nvalue = [1, 2]"] ;
-213 -> 214 ;
-215 [label="entropy = 0.337\nsamples = 96\nvalue = [90, 6]"] ;
-213 -> 215 ;
-216 [label="ElectronegativityMin <= 1.735\nentropy = 0.906\nsamples = 143\nvalue = [97, 46]"] ;
-212 -> 216 ;
-217 [label="entropy = 0.999\nsamples = 62\nvalue = [32, 30]"] ;
-216 -> 217 ;
-218 [label="entropy = 0.717\nsamples = 81\nvalue = [65, 16]"] ;
-216 -> 218 ;
-219 [label="ColumnMean <= 13.354\nentropy = 0.332\nsamples = 343\nvalue = [322, 21]"] ;
-211 -> 219 ;
-220 [label="ColumnMean <= 12.708\nentropy = 0.139\nsamples = 153\nvalue = [150, 3]"] ;
-219 -> 220 ;
-221 [label="entropy = 0.559\nsamples = 23\nvalue = [20, 3]"] ;
-220 -> 221 ;
-222 [label="entropy = 0.0\nsamples = 130\nvalue = [130, 0]"] ;
-220 -> 222 ;
-223 [label="AtomicWeightMean <= 99.648\nentropy = 0.452\nsamples = 190\nvalue = [172, 18]"] ;
-219 -> 223 ;
-224 [label="entropy = 0.0\nsamples = 2\nvalue = [0, 2]"] ;
-223 -> 224 ;
-225 [label="entropy = 0.42\nsamples = 188\nvalue = [172, 16]"] ;
-223 -> 225 ;
-226 [label="RowMean <= 2.434\nentropy = 0.836\nsamples = 67437\nvalue = [17967, 49470]"] ;
-0 -> 226 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
-227 [label="AtomicRadiusMin <= 0.55\nentropy = 0.531\nsamples = 15288\nvalue = [1845, 13443]"] ;
-226 -> 227 ;
-228 [label="ColumnMean <= 12.856\nentropy = 0.33\nsamples = 6673\nvalue = [404, 6269]"] ;
-227 -> 228 ;
-229 [label="AtomicWeightMean <= 18.785\nentropy = 0.279\nsamples = 5595\nvalue = [270, 5325]"] ;
-228 -> 229 ;
-230 [label="AtomicWeightMax <= 39.588\nentropy = 0.231\nsamples = 3336\nvalue = [125, 3211]"] ;
-229 -> 230 ;
-231 [label="ColumnMean <= 4.765\nentropy = 0.159\nsamples = 1076\nvalue = [25, 1051]"] ;
-230 -> 231 ;
-232 [label="AtomicWeightMean <= 7.13\nentropy = 1.0\nsamples = 6\nvalue = [3, 3]"] ;
-231 -> 232 ;
-233 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]"] ;
-232 -> 233 ;
-234 [label="entropy = 0.971\nsamples = 5\nvalue = [3, 2]"] ;
-232 -> 234 ;
-235 [label="AtomicRadiusMean <= 0.762\nentropy = 0.145\nsamples = 1070\nvalue = [22, 1048]"] ;
-231 -> 235 ;
-236 [label="entropy = 0.16\nsamples = 939\nvalue = [22, 917]"] ;
-235 -> 236 ;
-237 [label="entropy = 0.0\nsamples = 131\nvalue = [0, 131]"] ;
-235 -> 237 ;
-238 [label="AtomicWeightMean <= 9.984\nentropy = 0.261\nsamples = 2260\nvalue = [100, 2160]"] ;
-230 -> 238 ;
-239 [label="entropy = 0.0\nsamples = 169\nvalue = [0, 169]"] ;
-238 -> 239 ;
-240 [label="AtomicWeightMean <= 11.984\nentropy = 0.277\nsamples = 2091\nvalue = [100, 1991]"] ;
-238 -> 240 ;
-241 [label="entropy = 0.42\nsamples = 364\nvalue = [31, 333]"] ;
-240 -> 241 ;
-242 [label="entropy = 0.242\nsamples = 1727\nvalue = [69, 1658]"] ;
-240 -> 242 ;
-243 [label="AtomicRadiusMax <= 1.375\nentropy = 0.344\nsamples = 2259\nvalue = [145, 2114]"] ;
-229 -> 243 ;
-244 [label="AtomicWeightMax <= 64.463\nentropy = 0.625\nsamples = 224\nvalue = [35, 189]"] ;
-243 -> 244 ;
-245 [label="AtomicWeightMax <= 58.813\nentropy = 0.927\nsamples = 73\nvalue = [25, 48]"] ;
-244 -> 245 ;
-246 [label="entropy = 0.459\nsamples = 31\nvalue = [3, 28]"] ;
-245 -> 246 ;
-247 [label="entropy = 0.998\nsamples = 42\nvalue = [22, 20]"] ;
-245 -> 247 ;
-248 [label="AtomicWeightMax <= 143.373\nentropy = 0.352\nsamples = 151\nvalue = [10, 141]"] ;
-244 -> 248 ;
-249 [label="entropy = 0.466\nsamples = 101\nvalue = [10, 91]"] ;
-248 -> 249 ;
-250 [label="entropy = 0.0\nsamples = 50\nvalue = [0, 50]"] ;
-248 -> 250 ;
-251 [label="AtomicRadiusMean <= 0.915\nentropy = 0.303\nsamples = 2035\nvalue = [110, 1925]"] ;
-243 -> 251 ;
-252 [label="RowMean <= 1.944\nentropy = 0.276\nsamples = 1867\nvalue = [89, 1778]"] ;
-251 -> 252 ;
-253 [label="entropy = 0.0\nsamples = 77\nvalue = [0, 77]"] ;
-252 -> 253 ;
-254 [label="entropy = 0.285\nsamples = 1790\nvalue = [89, 1701]"] ;
-252 -> 254 ;
-255 [label="ElectronegativityMin <= 1.145\nentropy = 0.544\nsamples = 168\nvalue = [21, 147]"] ;
-251 -> 255 ;
-256 [label="entropy = 0.43\nsamples = 159\nvalue = [14, 145]"] ;
-255 -> 256 ;
-257 [label="entropy = 0.764\nsamples = 9\nvalue = [7, 2]"] ;
-255 -> 257 ;
-258 [label="AtomicWeightMax <= 53.467\nentropy = 0.542\nsamples = 1078\nvalue = [134, 944]"] ;
-228 -> 258 ;
-259 [label="AtomicWeightMean <= 24.331\nentropy = 0.366\nsamples = 486\nvalue = [34, 452]"] ;
-258 -> 259 ;
-260 [label="AtomicRadiusMax <= 1.075\nentropy = 0.419\nsamples = 401\nvalue = [34, 367]"] ;
-259 -> 260 ;
-261 [label="ElectronegativityMean <= 2.878\nentropy = 0.172\nsamples = 117\nvalue = [3, 114]"] ;
-260 -> 261 ;
-262 [label="entropy = 1.0\nsamples = 2\nvalue = [1, 1]"] ;
-261 -> 262 ;
-263 [label="entropy = 0.127\nsamples = 115\nvalue = [2, 113]"] ;
-261 -> 263 ;
-264 [label="ElectronegativityMin <= 1.155\nentropy = 0.497\nsamples = 284\nvalue = [31, 253]"] ;
-260 -> 264 ;
-265 [label="entropy = 0.316\nsamples = 175\nvalue = [10, 165]"] ;
-264 -> 265 ;
-266 [label="entropy = 0.707\nsamples = 109\nvalue = [21, 88]"] ;
-264 -> 266 ;
-267 [label="entropy = 0.0\nsamples = 85\nvalue = [0, 85]"] ;
-259 -> 267 ;
-268 [label="AtomicWeightMax <= 73.781\nentropy = 0.655\nsamples = 592\nvalue = [100, 492]"] ;
-258 -> 268 ;
-269 [label="AtomicWeightMean <= 22.97\nentropy = 0.828\nsamples = 249\nvalue = [65, 184]"] ;
-268 -> 269 ;
-270 [label="AtomicRadiusMean <= 0.744\nentropy = 0.537\nsamples = 114\nvalue = [14, 100]"] ;
-269 -> 270 ;
-271 [label="entropy = 0.744\nsamples = 52\nvalue = [11, 41]"] ;
-270 -> 271 ;
-272 [label="entropy = 0.28\nsamples = 62\nvalue = [3, 59]"] ;
-270 -> 272 ;
-273 [label="ElectronegativityMin <= 1.89\nentropy = 0.956\nsamples = 135\nvalue = [51, 84]"] ;
-269 -> 273 ;
-274 [label="entropy = 0.907\nsamples = 121\nvalue = [39, 82]"] ;
-273 -> 274 ;
-275 [label="entropy = 0.592\nsamples = 14\nvalue = [12, 2]"] ;
-273 -> 275 ;
-276 [label="AtomicWeightMax <= 86.544\nentropy = 0.475\nsamples = 343\nvalue = [35, 308]"] ;
-268 -> 276 ;
-277 [label="ElectronegativityMean <= 3.617\nentropy = 0.083\nsamples = 97\nvalue = [1, 96]"] ;
-276 -> 277 ;
-278 [label="entropy = 0.0\nsamples = 89\nvalue = [0, 89]"] ;
-277 -> 278 ;
-279 [label="entropy = 0.544\nsamples = 8\nvalue = [1, 7]"] ;
-277 -> 279 ;
-280 [label="AtomicWeightMax <= 110.14\nentropy = 0.58\nsamples = 246\nvalue = [34, 212]"] ;
-276 -> 280 ;
-281 [label="entropy = 0.889\nsamples = 62\nvalue = [19, 43]"] ;
-280 -> 281 ;
-282 [label="entropy = 0.408\nsamples = 184\nvalue = [15, 169]"] ;
-280 -> 282 ;
-283 [label="ElectronegativityMean <= 2.94\nentropy = 0.651\nsamples = 8615\nvalue = [1441, 7174]"] ;
-227 -> 283 ;
-284 [label="AtomicRadiusMean <= 0.995\nentropy = 0.588\nsamples = 7147\nvalue = [1011, 6136]"] ;
-283 -> 284 ;
-285 [label="RowMean <= 2.336\nentropy = 0.522\nsamples = 5945\nvalue = [698, 5247]"] ;
-284 -> 285 ;
-286 [label="AtomicWeightMean <= 19.976\nentropy = 0.424\nsamples = 2701\nvalue = [233, 2468]"] ;
-285 -> 286 ;
-287 [label="ElectronegativityMean <= 2.723\nentropy = 0.527\nsamples = 1453\nvalue = [173, 1280]"] ;
-286 -> 287 ;
-288 [label="entropy = 0.375\nsamples = 869\nvalue = [63, 806]"] ;
-287 -> 288 ;
-289 [label="entropy = 0.698\nsamples = 584\nvalue = [110, 474]"] ;
-287 -> 289 ;
-290 [label="AtomicWeightMax <= 57.269\nentropy = 0.278\nsamples = 1248\nvalue = [60, 1188]"] ;
-286 -> 290 ;
-291 [label="entropy = 0.196\nsamples = 889\nvalue = [27, 862]"] ;
-290 -> 291 ;
-292 [label="entropy = 0.443\nsamples = 359\nvalue = [33, 326]"] ;
-290 -> 292 ;
-293 [label="AtomicWeightMin <= 7.977\nentropy = 0.593\nsamples = 3244\nvalue = [465, 2779]"] ;
-285 -> 293 ;
-294 [label="RowMean <= 2.355\nentropy = 0.531\nsamples = 2355\nvalue = [284, 2071]"] ;
-293 -> 294 ;
-295 [label="entropy = 0.74\nsamples = 468\nvalue = [98, 370]"] ;
-294 -> 295 ;
-296 [label="entropy = 0.464\nsamples = 1887\nvalue = [186, 1701]"] ;
-294 -> 296 ;
-297 [label="ColumnMean <= 12.783\nentropy = 0.729\nsamples = 889\nvalue = [181, 708]"] ;
-293 -> 297 ;
-298 [label="entropy = 0.937\nsamples = 195\nvalue = [69, 126]"] ;
-297 -> 298 ;
-299 [label="entropy = 0.638\nsamples = 694\nvalue = [112, 582]"] ;
-297 -> 299 ;
-300 [label="AtomicRadiusMean <= 1.016\nentropy = 0.827\nsamples = 1202\nvalue = [313, 889]"] ;
-284 -> 300 ;
-301 [label="RowMean <= 2.38\nentropy = 0.921\nsamples = 762\nvalue = [256, 506]"] ;
-300 -> 301 ;
-302 [label="AtomicWeightMean <= 20.844\nentropy = 0.999\nsamples = 131\nvalue = [68, 63]"] ;
-301 -> 302 ;
-303 [label="entropy = 0.975\nsamples = 91\nvalue = [37, 54]"] ;
-302 -> 303 ;
-304 [label="entropy = 0.769\nsamples = 40\nvalue = [31, 9]"] ;
-302 -> 304 ;
-305 [label="ElectronegativityMean <= 2.35\nentropy = 0.879\nsamples = 631\nvalue = [188, 443]"] ;
-301 -> 305 ;
-306 [label="entropy = 0.743\nsamples = 185\nvalue = [39, 146]"] ;
-305 -> 306 ;
-307 [label="entropy = 0.919\nsamples = 446\nvalue = [149, 297]"] ;
-305 -> 307 ;
-308 [label="AtomicWeightMean <= 9.877\nentropy = 0.556\nsamples = 440\nvalue = [57, 383]"] ;
-300 -> 308 ;
-309 [label="entropy = 0.0\nsamples = 3\nvalue = [3, 0]"] ;
-308 -> 309 ;
-310 [label="AtomicWeightMax <= 53.467\nentropy = 0.54\nsamples = 437\nvalue = [54, 383]"] ;
-308 -> 310 ;
-311 [label="entropy = 0.35\nsamples = 152\nvalue = [10, 142]"] ;
-310 -> 311 ;
-312 [label="entropy = 0.621\nsamples = 285\nvalue = [44, 241]"] ;
-310 -> 312 ;
-313 [label="ElectronegativityMin <= 2.075\nentropy = 0.872\nsamples = 1468\nvalue = [430, 1038]"] ;
-283 -> 313 ;
-314 [label="ColumnMean <= 14.481\nentropy = 0.895\nsamples = 1285\nvalue = [400, 885]"] ;
-313 -> 314 ;
-315 [label="ColumnMean <= 13.645\nentropy = 0.741\nsamples = 286\nvalue = [60, 226]"] ;
-314 -> 315 ;
-316 [label="AtomicWeightMean <= 19.337\nentropy = 0.937\nsamples = 17\nvalue = [11, 6]"] ;
-315 -> 316 ;
-317 [label="entropy = 0.0\nsamples = 5\nvalue = [5, 0]"] ;
-316 -> 317 ;
-318 [label="entropy = 1.0\nsamples = 12\nvalue = [6, 6]"] ;
-316 -> 318 ;
-319 [label="AtomicWeightMax <= 104.663\nentropy = 0.685\nsamples = 269\nvalue = [49, 220]"] ;
-315 -> 319 ;
-320 [label="entropy = 0.764\nsamples = 207\nvalue = [46, 161]"] ;
-319 -> 320 ;
-321 [label="entropy = 0.28\nsamples = 62\nvalue = [3, 59]"] ;
-319 -> 321 ;
-322 [label="ColumnMean <= 14.84\nentropy = 0.925\nsamples = 999\nvalue = [340, 659]"] ;
-314 -> 322 ;
-323 [label="ColumnMean <= 14.784\nentropy = 0.988\nsamples = 313\nvalue = [136, 177]"] ;
-322 -> 323 ;
-324 [label="entropy = 0.95\nsamples = 252\nvalue = [93, 159]"] ;
-323 -> 324 ;
-325 [label="entropy = 0.875\nsamples = 61\nvalue = [43, 18]"] ;
-323 -> 325 ;
-326 [label="AtomicRadiusMean <= 0.766\nentropy = 0.878\nsamples = 686\nvalue = [204, 482]"] ;
-322 -> 326 ;
-327 [label="entropy = 0.907\nsamples = 626\nvalue = [202, 424]"] ;
-326 -> 327 ;
-328 [label="entropy = 0.211\nsamples = 60\nvalue = [2, 58]"] ;
-326 -> 328 ;
-329 [label="ElectronegativityMean <= 3.19\nentropy = 0.644\nsamples = 183\nvalue = [30, 153]"] ;
-313 -> 329 ;
-330 [label="ColumnMean <= 15.155\nentropy = 0.433\nsamples = 101\nvalue = [9, 92]"] ;
-329 -> 330 ;
-331 [label="AtomicWeightMean <= 25.805\nentropy = 0.722\nsamples = 25\nvalue = [5, 20]"] ;
-330 -> 331 ;
-332 [label="entropy = 0.852\nsamples = 18\nvalue = [5, 13]"] ;
-331 -> 332 ;
-333 [label="entropy = 0.0\nsamples = 7\nvalue = [0, 7]"] ;
-331 -> 333 ;
-334 [label="ColumnMean <= 15.491\nentropy = 0.297\nsamples = 76\nvalue = [4, 72]"] ;
-330 -> 334 ;
-335 [label="entropy = 0.0\nsamples = 36\nvalue = [0, 36]"] ;
-334 -> 335 ;
-336 [label="entropy = 0.469\nsamples = 40\nvalue = [4, 36]"] ;
-334 -> 336 ;
-337 [label="ElectronegativityMean <= 3.197\nentropy = 0.821\nsamples = 82\nvalue = [21, 61]"] ;
-329 -> 337 ;
-338 [label="entropy = 0.0\nsamples = 2\nvalue = [2, 0]"] ;
-337 -> 338 ;
-339 [label="AtomicWeightMean <= 15.103\nentropy = 0.791\nsamples = 80\nvalue = [19, 61]"] ;
-337 -> 339 ;
-340 [label="entropy = 0.811\nsamples = 4\nvalue = [3, 1]"] ;
-339 -> 340 ;
-341 [label="entropy = 0.742\nsamples = 76\nvalue = [16, 60]"] ;
-339 -> 341 ;
-342 [label="ColumnMin <= 1.5\nentropy = 0.892\nsamples = 52149\nvalue = [16122, 36027]"] ;
-226 -> 342 ;
-343 [label="AtomicRadiusMax <= 1.475\nentropy = 0.772\nsamples = 17609\nvalue = [3985, 13624]"] ;
-342 -> 343 ;
-344 [label="AtomicRadiusMean <= 0.91\nentropy = 0.898\nsamples = 4805\nvalue = [1512, 3293]"] ;
-343 -> 344 ;
-345 [label="AtomicWeightMean <= 23.141\nentropy = 0.584\nsamples = 1136\nvalue = [159, 977]"] ;
-344 -> 345 ;
-346 [label="AtomicWeightMax <= 49.404\nentropy = 0.113\nsamples = 66\nvalue = [1, 65]"] ;
-345 -> 346 ;
-347 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]"] ;
-346 -> 347 ;
-348 [label="entropy = 0.0\nsamples = 65\nvalue = [0, 65]"] ;
-346 -> 348 ;
-349 [label="AtomicWeightMax <= 73.781\nentropy = 0.604\nsamples = 1070\nvalue = [158, 912]"] ;
-345 -> 349 ;
-350 [label="AtomicWeightMax <= 61.24\nentropy = 0.688\nsamples = 626\nvalue = [115, 511]"] ;
-349 -> 350 ;
-351 [label="entropy = 0.599\nsamples = 549\nvalue = [80, 469]"] ;
-350 -> 351 ;
-352 [label="entropy = 0.994\nsamples = 77\nvalue = [35, 42]"] ;
-350 -> 352 ;
-353 [label="RowMean <= 2.886\nentropy = 0.459\nsamples = 444\nvalue = [43, 401]"] ;
-349 -> 353 ;
-354 [label="entropy = 0.403\nsamples = 424\nvalue = [34, 390]"] ;
-353 -> 354 ;
-355 [label="entropy = 0.993\nsamples = 20\nvalue = [9, 11]"] ;
-353 -> 355 ;
-356 [label="ColumnMax <= 16.5\nentropy = 0.95\nsamples = 3669\nvalue = [1353, 2316]"] ;
-344 -> 356 ;
-357 [label="AtomicWeightMax <= 49.404\nentropy = 0.956\nsamples = 3519\nvalue = [1327, 2192]"] ;
-356 -> 357 ;
-358 [label="AtomicRadiusMean <= 1.03\nentropy = 0.918\nsamples = 84\nvalue = [56, 28]"] ;
-357 -> 358 ;
-359 [label="entropy = 0.663\nsamples = 58\nvalue = [48, 10]"] ;
-358 -> 359 ;
-360 [label="entropy = 0.89\nsamples = 26\nvalue = [8, 18]"] ;
-358 -> 360 ;
-361 [label="ColumnMean <= 11.079\nentropy = 0.951\nsamples = 3435\nvalue = [1271, 2164]"] ;
-357 -> 361 ;
-362 [label="entropy = 0.919\nsamples = 2136\nvalue = [714, 1422]"] ;
-361 -> 362 ;
-363 [label="entropy = 0.985\nsamples = 1299\nvalue = [557, 742]"] ;
-361 -> 363 ;
-364 [label="AtomicRadiusMean <= 1.186\nentropy = 0.665\nsamples = 150\nvalue = [26, 124]"] ;
-356 -> 364 ;
-365 [label="ColumnMean <= 11.964\nentropy = 0.789\nsamples = 110\nvalue = [26, 84]"] ;
-364 -> 365 ;
-366 [label="entropy = 0.942\nsamples = 64\nvalue = [23, 41]"] ;
-365 -> 366 ;
-367 [label="entropy = 0.348\nsamples = 46\nvalue = [3, 43]"] ;
-365 -> 367 ;
-368 [label="entropy = 0.0\nsamples = 40\nvalue = [0, 40]"] ;
-364 -> 368 ;
-369 [label="AtomicWeightMax <= 170.994\nentropy = 0.708\nsamples = 12804\nvalue = [2473, 10331]"] ;
-343 -> 369 ;
-370 [label="ColumnMean <= 11.703\nentropy = 0.657\nsamples = 9710\nvalue = [1648, 8062]"] ;
-369 -> 370 ;
-371 [label="ColumnMean <= 9.161\nentropy = 0.743\nsamples = 4718\nvalue = [994, 3724]"] ;
-370 -> 371 ;
-372 [label="ColumnMean <= 5.958\nentropy = 0.6\nsamples = 1375\nvalue = [201, 1174]"] ;
-371 -> 372 ;
-373 [label="entropy = 0.845\nsamples = 33\nvalue = [24, 9]"] ;
-372 -> 373 ;
-374 [label="entropy = 0.563\nsamples = 1342\nvalue = [177, 1165]"] ;
-372 -> 374 ;
-375 [label="ColumnMean <= 10.663\nentropy = 0.79\nsamples = 3343\nvalue = [793, 2550]"] ;
-371 -> 375 ;
-376 [label="entropy = 0.895\nsamples = 1107\nvalue = [345, 762]"] ;
-375 -> 376 ;
-377 [label="entropy = 0.723\nsamples = 2236\nvalue = [448, 1788]"] ;
-375 -> 377 ;
-378 [label="ColumnMean <= 11.805\nentropy = 0.56\nsamples = 4992\nvalue = [654, 4338]"] ;
-370 -> 378 ;
-379 [label="ElectronegativityMean <= 1.986\nentropy = 0.305\nsamples = 624\nvalue = [34, 590]"] ;
-378 -> 379 ;
-380 [label="entropy = 0.722\nsamples = 5\nvalue = [4, 1]"] ;
-379 -> 380 ;
-381 [label="entropy = 0.28\nsamples = 619\nvalue = [30, 589]"] ;
-379 -> 381 ;
-382 [label="AtomicWeightMax <= 154.607\nentropy = 0.589\nsamples = 4368\nvalue = [620, 3748]"] ;
-378 -> 382 ;
-383 [label="entropy = 0.602\nsamples = 4148\nvalue = [610, 3538]"] ;
-382 -> 383 ;
-384 [label="entropy = 0.267\nsamples = 220\nvalue = [10, 210]"] ;
-382 -> 384 ;
-385 [label="ColumnMean <= 13.164\nentropy = 0.837\nsamples = 3094\nvalue = [825, 2269]"] ;
-369 -> 385 ;
-386 [label="AtomicWeightMax <= 174.01\nentropy = 0.89\nsamples = 2452\nvalue = [754, 1698]"] ;
-385 -> 386 ;
-387 [label="ColumnMax <= 16.5\nentropy = 0.847\nsamples = 106\nvalue = [77, 29]"] ;
-386 -> 387 ;
-388 [label="entropy = 0.617\nsamples = 72\nvalue = [61, 11]"] ;
-387 -> 388 ;
-389 [label="entropy = 0.998\nsamples = 34\nvalue = [16, 18]"] ;
-387 -> 389 ;
-390 [label="AtomicWeightMean <= 52.385\nentropy = 0.867\nsamples = 2346\nvalue = [677, 1669]"] ;
-386 -> 390 ;
-391 [label="entropy = 0.7\nsamples = 877\nvalue = [166, 711]"] ;
-390 -> 391 ;
-392 [label="entropy = 0.932\nsamples = 1469\nvalue = [511, 958]"] ;
-390 -> 392 ;
-393 [label="AtomicRadiusMean <= 1.355\nentropy = 0.502\nsamples = 642\nvalue = [71, 571]"] ;
-385 -> 393 ;
-394 [label="AtomicWeightMean <= 69.836\nentropy = 0.548\nsamples = 561\nvalue = [71, 490]"] ;
-393 -> 394 ;
-395 [label="entropy = 0.473\nsamples = 484\nvalue = [49, 435]"] ;
-394 -> 395 ;
-396 [label="entropy = 0.863\nsamples = 77\nvalue = [22, 55]"] ;
-394 -> 396 ;
-397 [label="entropy = 0.0\nsamples = 81\nvalue = [0, 81]"] ;
-393 -> 397 ;
-398 [label="ColumnMean <= 12.589\nentropy = 0.935\nsamples = 34540\nvalue = [12137, 22403]"] ;
-342 -> 398 ;
-399 [label="AtomicRadiusMean <= 1.005\nentropy = 0.995\nsamples = 14838\nvalue = [6823, 8015]"] ;
-398 -> 399 ;
-400 [label="ColumnMean <= 10.791\nentropy = 0.891\nsamples = 3929\nvalue = [1211, 2718]"] ;
-399 -> 400 ;
-401 [label="AtomicWeightMean <= 26.077\nentropy = 0.791\nsamples = 101\nvalue = [77, 24]"] ;
-400 -> 401 ;
-402 [label="ColumnMean <= 10.246\nentropy = 0.99\nsamples = 25\nvalue = [11, 14]"] ;
-401 -> 402 ;
-403 [label="entropy = 0.779\nsamples = 13\nvalue = [10, 3]"] ;
-402 -> 403 ;
-404 [label="entropy = 0.414\nsamples = 12\nvalue = [1, 11]"] ;
-402 -> 404 ;
-405 [label="AtomicWeightMax <= 49.404\nentropy = 0.562\nsamples = 76\nvalue = [66, 10]"] ;
-401 -> 405 ;
-406 [label="entropy = 0.0\nsamples = 41\nvalue = [41, 0]"] ;
-405 -> 406 ;
-407 [label="entropy = 0.863\nsamples = 35\nvalue = [25, 10]"] ;
-405 -> 407 ;
-408 [label="AtomicWeightMax <= 185.023\nentropy = 0.877\nsamples = 3828\nvalue = [1134, 2694]"] ;
-400 -> 408 ;
-409 [label="AtomicWeightMin <= 15.003\nentropy = 0.847\nsamples = 3523\nvalue = [965, 2558]"] ;
-408 -> 409 ;
-410 [label="entropy = 0.483\nsamples = 325\nvalue = [34, 291]"] ;
-409 -> 410 ;
-411 [label="entropy = 0.87\nsamples = 3198\nvalue = [931, 2267]"] ;
-409 -> 411 ;
-412 [label="RowMean <= 3.517\nentropy = 0.992\nsamples = 305\nvalue = [169, 136]"] ;
-408 -> 412 ;
-413 [label="entropy = 1.0\nsamples = 254\nvalue = [124, 130]"] ;
-412 -> 413 ;
-414 [label="entropy = 0.523\nsamples = 51\nvalue = [45, 6]"] ;
-412 -> 414 ;
-415 [label="ElectronegativityMin <= 1.37\nentropy = 0.999\nsamples = 10909\nvalue = [5612, 5297]"] ;
-399 -> 415 ;
-416 [label="ColumnMean <= 8.967\nentropy = 0.996\nsamples = 9638\nvalue = [4473, 5165]"] ;
-415 -> 416 ;
-417 [label="ColumnMin <= 2.5\nentropy = 0.629\nsamples = 260\nvalue = [219, 41]"] ;
-416 -> 417 ;
-418 [label="entropy = 0.994\nsamples = 79\nvalue = [43, 36]"] ;
-417 -> 418 ;
-419 [label="entropy = 0.182\nsamples = 181\nvalue = [176, 5]"] ;
-417 -> 419 ;
-420 [label="AtomicWeightMax <= 185.023\nentropy = 0.994\nsamples = 9378\nvalue = [4254, 5124]"] ;
-416 -> 420 ;
-421 [label="entropy = 0.987\nsamples = 8195\nvalue = [3545, 4650]"] ;
-420 -> 421 ;
-422 [label="entropy = 0.971\nsamples = 1183\nvalue = [709, 474]"] ;
-420 -> 422 ;
-423 [label="ColumnMin <= 2.5\nentropy = 0.481\nsamples = 1271\nvalue = [1139, 132]"] ;
-415 -> 423 ;
-424 [label="ColumnMean <= 8.667\nentropy = 0.619\nsamples = 13\nvalue = [2, 11]"] ;
-423 -> 424 ;
-425 [label="entropy = 0.0\nsamples = 2\nvalue = [2, 0]"] ;
-424 -> 425 ;
-426 [label="entropy = 0.0\nsamples = 11\nvalue = [0, 11]"] ;
-424 -> 426 ;
-427 [label="ColumnMean <= 11.992\nentropy = 0.457\nsamples = 1258\nvalue = [1137, 121]"] ;
-423 -> 427 ;
-428 [label="entropy = 0.309\nsamples = 687\nvalue = [649, 38]"] ;
-427 -> 428 ;
-429 [label="entropy = 0.598\nsamples = 571\nvalue = [488, 83]"] ;
-427 -> 429 ;
-430 [label="ColumnMin <= 6.5\nentropy = 0.841\nsamples = 19702\nvalue = [5314, 14388]"] ;
-398 -> 430 ;
-431 [label="ElectronegativityMin <= 2.075\nentropy = 0.739\nsamples = 10090\nvalue = [2107, 7983]"] ;
-430 -> 431 ;
-432 [label="ColumnMean <= 12.79\nentropy = 0.764\nsamples = 8989\nvalue = [1999, 6990]"] ;
-431 -> 432 ;
-433 [label="AtomicWeightMean <= 130.308\nentropy = 0.934\nsamples = 1021\nvalue = [357, 664]"] ;
-432 -> 433 ;
-434 [label="entropy = 0.914\nsamples = 988\nvalue = [325, 663]"] ;
-433 -> 434 ;
-435 [label="entropy = 0.196\nsamples = 33\nvalue = [32, 1]"] ;
-433 -> 435 ;
-436 [label="AtomicRadiusMax <= 1.475\nentropy = 0.734\nsamples = 7968\nvalue = [1642, 6326]"] ;
-432 -> 436 ;
-437 [label="entropy = 0.835\nsamples = 2049\nvalue = [544, 1505]"] ;
-436 -> 437 ;
-438 [label="entropy = 0.692\nsamples = 5919\nvalue = [1098, 4821]"] ;
-436 -> 438 ;
-439 [label="ElectronegativityMean <= 2.504\nentropy = 0.463\nsamples = 1101\nvalue = [108, 993]"] ;
-431 -> 439 ;
-440 [label="RowMean <= 3.708\nentropy = 0.162\nsamples = 673\nvalue = [16, 657]"] ;
-439 -> 440 ;
-441 [label="entropy = 0.918\nsamples = 12\nvalue = [4, 8]"] ;
-440 -> 441 ;
-442 [label="entropy = 0.131\nsamples = 661\nvalue = [12, 649]"] ;
-440 -> 442 ;
-443 [label="RowMean <= 2.784\nentropy = 0.751\nsamples = 428\nvalue = [92, 336]"] ;
-439 -> 443 ;
-444 [label="entropy = 0.363\nsamples = 159\nvalue = [11, 148]"] ;
-443 -> 444 ;
-445 [label="entropy = 0.883\nsamples = 269\nvalue = [81, 188]"] ;
-443 -> 445 ;
-446 [label="ColumnMean <= 13.86\nentropy = 0.919\nsamples = 9612\nvalue = [3207, 6405]"] ;
-430 -> 446 ;
-447 [label="ElectronegativityMean <= 3.112\nentropy = 0.986\nsamples = 2299\nvalue = [1311, 988]"] ;
-446 -> 447 ;
-448 [label="AtomicWeightMean <= 28.727\nentropy = 0.974\nsamples = 2192\nvalue = [1305, 887]"] ;
-447 -> 448 ;
-449 [label="entropy = 0.756\nsamples = 78\nvalue = [17, 61]"] ;
-448 -> 449 ;
-450 [label="entropy = 0.965\nsamples = 2114\nvalue = [1288, 826]"] ;
-448 -> 450 ;
-451 [label="ColumnMean <= 13.624\nentropy = 0.312\nsamples = 107\nvalue = [6, 101]"] ;
-447 -> 451 ;
-452 [label="entropy = 0.779\nsamples = 26\nvalue = [6, 20]"] ;
-451 -> 452 ;
-453 [label="entropy = 0.0\nsamples = 81\nvalue = [0, 81]"] ;
-451 -> 453 ;
-454 [label="ColumnMin <= 11.5\nentropy = 0.826\nsamples = 7313\nvalue = [1896, 5417]"] ;
-446 -> 454 ;
-455 [label="ColumnMin <= 8.5\nentropy = 0.929\nsamples = 3337\nvalue = [1148, 2189]"] ;
-454 -> 455 ;
-456 [label="entropy = 0.838\nsamples = 1088\nvalue = [291, 797]"] ;
-455 -> 456 ;
-457 [label="entropy = 0.959\nsamples = 2249\nvalue = [857, 1392]"] ;
-455 -> 457 ;
-458 [label="ColumnMax <= 16.5\nentropy = 0.698\nsamples = 3976\nvalue = [748, 3228]"] ;
-454 -> 458 ;
-459 [label="entropy = 0.788\nsamples = 2402\nvalue = [566, 1836]"] ;
-458 -> 459 ;
-460 [label="entropy = 0.517\nsamples = 1574\nvalue = [182, 1392]"] ;
-458 -> 460 ;
-}
\ No newline at end of file
diff --git a/lectures/slides_tex/example_element_features.py b/lectures/slides_tex/example_element_features.py
index 31f8423..b6323a3 100644
--- a/lectures/slides_tex/example_element_features.py
+++ b/lectures/slides_tex/example_element_features.py
@@ -1,13 +1,15 @@
+import numpy as np
 import pandas as pd
 from pymatgen.core import Composition
-binaries = pd.read_csv('binary_band_gap.csv')
-# We create a column holding the Composition object. 
+
+binaries = pd.read_csv("binary_band_gap.csv")
+# We create a column holding the Composition object.
 # Note the use of list comprehension in Python.
-binaries['composition'] = [Composition(c) for c in binaries['Formula']]
-electronegs = [[el.X for el in c] for c in binaries['composition']]
+binaries["composition"] = [Composition(c) for c in binaries["Formula"]]
+electronegs = [[el.X for el in c] for c in binaries["composition"]]
 # Create the features mean and difference between electronegativities
-binaries['mean_X'] = [np.mean(e) for e in electronegs]
-binaries['diff_X'] = [max(e) - min(e) for e in electronegs]
+binaries["mean_X"] = [np.mean(e) for e in electronegs]
+binaries["diff_X"] = [max(e) - min(e) for e in electronegs]
 # Label metals (band gap of 0. 1e-5 is used as numerical tolerance) as class 0
 # Insulators are labelled as class 1.
-binaries['class'] = [0 if eg < 1e-5 else 1 for eg in binaries['Eg (eV)']]}
\ No newline at end of file
+binaries["class"] = [0 if eg < 1e-5 else 1 for eg in binaries["Eg (eV)"]]
diff --git a/lectures/slides_tex/example_numpy.py b/lectures/slides_tex/example_numpy.py
index d52cbf1..ed3c407 100644
--- a/lectures/slides_tex/example_numpy.py
+++ b/lectures/slides_tex/example_numpy.py
@@ -1,17 +1,16 @@
->>> import numpy as np
->>> x = np.array([[1, 2, 3],
-                  [4, 7, 6],
-                  [9, 4, 2]])
->>> y = np.array([1.5, 0.5, 3])
->>> x * x
-array([[ 1,  4,  9],
-       [16, 49, 36],
-       [81, 16,  4]])
->>> np.dot(x, x)
-array([[36, 28, 21],
-       [86, 81, 66],
-       [43, 54, 55]])
->>> np.linalg.inv(x)
-array([[ 0.16949153, -0.13559322,  0.15254237],
-       [-0.77966102,  0.42372881, -0.10169492],
-       [ 0.79661017, -0.23728814,  0.01694915]])
\ No newline at end of file
+import numpy as np
+
+x = np.array([[1, 2, 3], [4, 7, 6], [9, 4, 2]])
+y = np.array([1.5, 0.5, 3])
+x * x
+# array([[ 1,  4,  9],
+#        [16, 49, 36],
+#        [81, 16,  4]])
+np.dot(x, x)
+# array([[36, 28, 21],
+#        [86, 81, 66],
+#        [43, 54, 55]])
+np.linalg.inv(x)
+# array([[ 0.16949153, -0.13559322,  0.15254237],
+#        [-0.77966102,  0.42372881, -0.10169492],
+#        [ 0.79661017, -0.23728814,  0.01694915]])
diff --git a/lectures/slides_tex/example_scipy.py b/lectures/slides_tex/example_scipy.py
index 7ca6e70..109b747 100644
--- a/lectures/slides_tex/example_scipy.py
+++ b/lectures/slides_tex/example_scipy.py
@@ -1,7 +1,9 @@
->>> from scipy import stats  # Statistics package
->>> dist = stats.norm(0, 1)  # Gaussian distribution
->>> dist.cdf(1.96)
-0.9750021048517795
->>> from scipy import constants  # Physical constants
->>> constants.e
-1.6021766208e-19
\ No newline at end of file
+from scipy import stats  # Statistics package
+
+dist = stats.norm(0, 1)  # Gaussian distribution
+print(dist.cdf(1.96))
+# Result: 0.9750021048517795
+from scipy import constants  # Physical constants
+
+print(constants.e)
+# Result: 1.6021766208e-19
diff --git a/lectures/slides_tex/example_sklearn_discriminant_analysis.py b/lectures/slides_tex/example_sklearn_discriminant_analysis.py
index 7a5ba4c..cb3eb05 100644
--- a/lectures/slides_tex/example_sklearn_discriminant_analysis.py
+++ b/lectures/slides_tex/example_sklearn_discriminant_analysis.py
@@ -1,5 +1,8 @@
-from sklearn.discriminant_analysis import LinearDiscriminantAnalysis,
-    QuadraticDiscriminantAnalysis
+from sklearn.discriminant_analysis import (
+    LinearDiscriminantAnalysis,
+    QuadraticDiscriminantAnalysis,
+)
+
 lda = LinearDiscriminantAnalysis(solver="svd", store_covariance=True)
 X = binaries[["mean_X", "diff_X"]]
 y = binaries["class"]
@@ -8,4 +11,3 @@
 
 qda = QuadraticDiscriminantAnalysis(store_covariance=True)
 y_pred = qda.fit(X, y).predict(X)
-\end{minted}
\ No newline at end of file