Created
March 13, 2017 22:05
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Resumen Info III 2017.1
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Resumen" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Graficos" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 25, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"%matplotlib inline\n", | |
"import numpy as np\n", | |
"import matplotlib.pyplot as plt" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 26, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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6x/y8vwlIWwuc7HUXcogyKSKtf9BNOzI+wTYa3LbVxpIhlXLTzfQPumU/Q3BT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\nSUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10cb6b5c0>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"x = np.linspace(1, 10)\n", | |
"y = np.sin(x)\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.plot(x, y, c='pink', ls='--', marker='o')\n", | |
"plt.grid()\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 27, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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i7pi7EX8fT+ZMiSfAVw/xuQot9E5mWEwbnrm6OyuTMnj+v7utjqMUUDG9wW8/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\n6JVSys1poVdKKTf3f7RG+TpIPit3AAAAAElFTkSuQmCC\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10d018e80>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"x = np.linspace(-10, 10)\n", | |
"coeficientes = [1, 2, -3]\n", | |
"y = np.polyval(coeficientes, x)\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.plot(x, y, label='$y = {}x^2 {:+}x {:+}$'.format(*coeficientes))\n", | |
"plt.legend()\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 30, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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mj0ygaxurZRRIgbmT8SSZdtZcMg5QVZ5esp1OrZpy76jeTocTcQKSZPKLy2nV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\nlmSMMX5lScYY41eWZIwxfvV/KhJzBPBXK0UAAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10c4de710>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"x = np.linspace(0, 10)\n", | |
"y = 3 * x ** 0.5\n", | |
"\n", | |
"plt.figure(figsize=(4, 3))\n", | |
"plt.subplot(121)\n", | |
"plt.plot(x, y)\n", | |
"plt.subplot(1, 2, 2)\n", | |
"plt.loglog(x, y)\n", | |
"plt.tight_layout()\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 33, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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Slk8LM7srgmq+nRbJzOpQOuL39eqIPx7tKyrm7+8u5cyHPmZl9m7uv2gQz101XAkqBsIa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\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x107568b38>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"x = np.linspace(0, 10)\n", | |
"y = 3 * x ** 0.5\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.subplot(121)\n", | |
"plt.plot(x, y)\n", | |
"plt.subplot(2, 2, 2)\n", | |
"plt.loglog(x, y)\n", | |
"plt.subplot(4, 4, 11)\n", | |
"plt.loglog(x, y)\n", | |
"\n", | |
"plt.subplot(4, 4, 12)\n", | |
"plt.loglog(x, y)\n", | |
"plt.tight_layout()\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 44, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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kMT7Miw3gnweLaO20jrvKbBac2VtKUJQXQVH9BAZZiBGhXIQQRuAR4EsgB9go\nhMiWJOk3kiRdGv11O/CJuHwHdAKQLknSGWAf8JIQwu7KJWlUErNGz+Ld7HcHbb00tHXx/tELLE8c\nTXTgIK2WHpQquZZSfS6c2zq0awyTu2dFAFjtjSw/vZbmGh3TV0TZpeqxqa2dxnffw33OnEFbLT1I\nkkTy4nDaGrsoyhh8Z89/Zf0LjUrDXROG3qvF93vy3Mb1Hwx+8rnPobkUrnl0yPLnhs0l0iuSd86+\nM+jghormDnadreb2aWG4D9Zq6cHNX97cz9oEjfbJ0frpghiarWi9FJ2uo6W+k6SFtgvTHxHKBUAI\nsVMIESOEGCuE+G33seeEENsuGfNrIcQvrph3RAiRIISY1P2nFTLDhsaPJ/2Yxs5GNuVtGtS8tw4U\n0Wkw8ehQrZYeJqwA73BIe2t41xkiId4alsQH8XFaqVX8yZn7yvEOdCUy0d/i1x4ITR9+iEmrxf+R\noVktPUQk+uPp70LmvrL+B19CeWs5O4t3sipmFT4uQ+9w6TR6NJ5LltC8aROmtkGULxICjvwV/KIh\n5oYhy1dICu6Nu5fzjec5Wnm0/wmX8P6RCwghLr7IDJmZj8hZ+4f/PLzrDJFJYd7MHz+Kfx4spsXC\n1osQgtO7S/EM0BA5yXrbAVcyYpTLfyJJo5KYGTyTd86+M+BomNZOAx8cK2FZ4uj+Y/X7Q6GUNyxL\nj9otGub+2ZG0dhrZlD64B2d/VBdrqb3QQuK8UPtZLe+8g9t116JJSBjWtRQKiYS5oVQVaKkrbR3w\nvPey30OSJO6eePew5AP43nMP5vZ2mjdtHvik4gPy92rWT/rNa+mPpVFLGaUZxTtn3xnwnPYuIx+l\nlXJDfDChPsPcoPYMhslr4fSHoB2Ce9AC/HRBDNoOAxvSLHuvVBXK90rS/DAUNrxXHMrFyjww6QEa\nOxvZUbRjQOM/PVVBu97E/bMjLbOAyd8DJ1c4bh/rJXmMD8ljvHn38AWLVkzO2leOk4uS2Bn2iRDT\nfv65bLX8+McWud6EWcGonJVkfj2wB0udro7P8j/jprE3Eeg2/P0mTUI8rikpNK5/f+AVkw//Rc5y\nT1wzbPlqpZq1E9dyvPo42fXZA5qz+WQ5rZ1G7r/WQvfKNY8B3daYHUgI9WJqhA8fHC/BbMF7JWN3\nKS5uToyfZdsWzw7lYmWSRyUT6xPLhtz+W7wKIVh/rIRJoV5MCvO2zAI03nLPl6xN0G6fHhL3z46i\ntFHHnpzicFbJAAAgAElEQVQai1yvXdtFwclaJswMRu0yRD/7MBBC0PTxx7gkJOA6udfAxEHj7OrE\n+BlB5KXXoGvpv97W+nPrMQoj98XfZxH5AL733oOxsorWr77qf3D1WSjcCzMeBCfLNGNbFbMKDycP\n/nW2f8+2ySx453Axk8d4kzxm6C7By/AJh8Tb4eR7clKoHVg7M4KSBh3f5FtGfnONjuLMeuLnhOCk\ntm0OmEO5WBlJklgzfg3nG89zpu7qrqmjhQ0U1LaxdmaEZRcx7Udg6oJT71n2ugNkcVwgId4a/nXI\nMpul2QcrMZsECXNDLXK9waJLO4G+sBCfO+7of/AgSJwXitkoyD54dbeMtkvLhtwNLI5YzBhPy4WV\nus+bh1P4GBrefa//jfUjr4OTm7wRbin5anfWjF/DnpI9lLRcPalwb04NJQ06y1n4Pcz+KRg74dQ6\ny153gCyJC8Lf3Zn1FkqqzNhbhlKpsMu94lAuNmBp5FLcndzZkLvhquPeP1qCj6sTyxItbL6OmgCR\nc+DEO3LoqI1RKRXcMyuCtOJGssqHV0fKZDSTfaCCMXF+eAdaPxGsN5o+/hiFlxeeNw59E7s3fILc\nGBPny9lvKjAZ+w5L3la4DZ1Rx71x91pUvqRQ4Hv33XRmZdFx6lTfA7XlcHYzTLlbLp9iQe6acBdO\nCifey37vquP+dahYDhiJs7Bb1D9avldOrrNLCL9apeDOaWHsy62lrHF4FT46WvWcP1pF7PRAXD1t\n39vIoVxsgKuTKyvGruDLC1/S2NnY65gqbQe7c2pYPTUMF2uUMJn+ALSUQ+7A9n4szZppYbiplfzr\n0PCSKgtP16Jr0ZM4zz5Wi6GmltY9e/C+9VYULpZxB11K4vVh6Fr0FJys7fW8EIJNeZtI9E9kgt8E\ni8v3vuUWlF5eNFwtqfLY/8mRYjMGV5FgIPhr/Llp3E1sK9hGfUfvodlnK7QcL27k7lnhqKyROJty\nH2hL7VY+6c7p4SgkadgFLbO+qcBkMDNpgW2SJq/EoVxsxJrYNRjMBj7L/6zX8x8dL8UsBN+bHm6d\nBcQskUvCHP+Hda7fD54uTtyWEkZqZhXV2s4hXyfz63K8RmkYM7GPXh1WpnnzJjAa8bl9+JvYvTFm\ngi/ega5kfl3Wq2sqvSadYm0xq2JWWUW+QqPB+47badv7NfqSXh5unVp5TyJ+JXhbJ2di7cS16M36\nPkvCvHOoGFe1kjVTrfTQHL9ULv6aPvDINUsS5OXCoomBbEgvG3IzMaPexNlvyolI8MM32M3CKxwY\nDuViI6K8o5geNJ2NuRsxXWFu641mPk4rY/74UYT5WsnVo1DKFZNLDkP1MOpIDYN7r4nAJATvH70w\npPk1F1qoKW4hYa59wo+FwUDzho24zZ6NOtw6LwGSQiJxXii1Ja3UFLd85/ymvE14OHmwJHKJVeQD\n+Nx5J5JKReO69797MnMj6NtghmWi5Hoj0iuSlMAUPs3/FLO43D1Y29LJ9sxKVqeE4aWxUkM4pZMc\nlpz/JTRbNix4oHx/ZgTNOgPbz1QOaX7u8Wo6Wg0k2ajUS284lIsNWTN+DZXtlRyquLz73a6zVdS3\ndVl+I/9Kktd2hyXbx3oJ93Nj0cRAPkorHVKJ8ax95Tg5K5kw07YhlT207tuHsbYWnzstu5F/JbEz\nglBrVN8JS27qbGJPyR6WjV2GRqWxmnynUaPwXLaM5s8+w6S9Yo/s1PsQlAghyVaTD7AyZiVlrWWc\nqL6818r7R0swmgX3XhNhVflMuVt2/Z3qRcHagBlRvsQEuvP+0ZIhtWTIPliJX6g7o6MtFHU6BBzK\nxYbMDZvLKM2o71RLfv9oCRF+rlw7zsqZ5hofSFwthyXret/7sTb3z46iWWfg01ODS1TTtejJP1nD\n+O4Hrz1o+vhjVKODcZ8zx6py1C4qJlwTTOGpOtqavu3oubVgKwazgdtibrOqfACf792F6OhAm5r6\n7cHKDKjOhOTvW13+wvCFeKo92Zz3bVJnp8HEh8dLWDghkHA/K7t6vMdA9CJZuZisX57+SiRJYu2M\ncLIqtGQMsrJ4XWkrdaWtxM0ejSTZ3sLvwaFcbIiTwolVMas4XHGYshb5rTS7UsvJkia+NyPcNtmz\n0x7oDrW0zxvZ1AgfJgR78smJ0kHNO3eoArNRkGCnjfyuoiJ0R4/hs3oNktL6+QIJc0IxC8HZA+WA\nvJG/OX8zSQFJRPsMsyzQANDExeE8YQLNW7Z8e/DUOlBpIMH6ys1Z6czyscvZW7qXpk65W+eX2dU0\n6QzcM9xSLwMl5T65s2buLtvIu4JbkkNxd1YNOiw553AlSpWC6Kn2Kebag0O52JiVMStRSIqL9cbW\nHy3BxUnBbVNsVFAucCJEXCv337BDWLIkSaxJCeVsRQvZlQMLSzaZzJz9poKwib74BNlnc7Lpk0/A\nyQnvVSttIs8rQENkoj/ZBysxGkykVadR0lLC6tjBl9UfKt4rV9J1LkfuVKlvh6zNEHeznJhrA1ZG\nr8RgNrCtUC4vuDG9jDBfDTOi/Gwin+iF4Blqt419d2cVtyaHkJpZRUNbV/8TkDfyc9NqiJocgIub\nlfakBohDudiYUa6juH7M9Xxa8Cm1ra18nlHBzUkheLna8Isw/QHQlkGefd7IbkoKQa1UsCm9fEDj\ni07X0a7Vk2inpEmzTof2s8/xXLQIlb/timQmzAmls81A8Zl6NuVtwlPtycLwhTaT77VsKZJaTfPm\nLZD9OXS12MQl1kO0TzSTAiaxJX8LpQ3tHC5o4LYpNqyPpVDClHugaB80FNpG5hWsnRGO3mRmwwBr\n8xWerkPfYWTibPu0+74Uh3KxA7fH3o62S8vLBzfQaTCzdqaVwo/7IvZG8AyBU+ttK7cbHzc1C+MC\n+Tyjgi5j/6GW5w5V4uHnwph4G72xXoF2xw7Mra1W38i/kpDxPrj7OJN1uJS9pXtZMXbFoDpNDhel\ntzceCxagTU3FnLZOrn48ZqbN5INsvRRri3nz6G4kCVZOsfELRvJakJRy+LUdiA70YGaUHx8eKx1Q\nbb6cw5V4+rsQYseN/B4cysUOTA2aSqRnJF9Xfk5KuA9xo23TvOciCqVcbLBgD7QOvQPicFidEkaz\nzsDenN6TBXtobeykPLeJ8TOCbFrRtQchBE0ffYxzTAyaZOtGSF2JQiEROyOIqvMtOHe42WQj/0q8\nV63E3NJC67HujXwbbxAvjliMu5M7u8u2MXucPyHe1ouS6xWPIDnv5fQHYByYa8rS3D0rnIrmDr4+\nf/V7pblWR0VeMxOuGW2XUP0rcSgXOyBJEtP9l2N0KmFeYv9FCq1C0p0gTHLegh2YPc6fYC8XNvZj\n7uceqwYBsTPsE37ceeYMXTk5+Nx5h10ib2JnBIKQmNt5E1Heg+wPbwFcZ8zAydeV5iI3mGRbyw3k\n6haTfa9H73Ka5Ul2ehtPuQ86GuVWyHZgwYRAAj2d2XDi6vdKzpEqJAnG2+leuZIRo1wkSVoiSVKu\nJEkFkiT9opfz90iSVCdJUkb35weXnLtbkqT87s/wm1vYgLqqeITZiXrpoH0W4B8NodMg4yM5nt/G\nKBUSq6aEciCvjipt771uhBCcP1bF6GhvvAJs/MbaTdPmzShcXfFavtwu8nNMmVR5FBJZPXlI+Q7D\nRTIb8ApvQVejRt9snzf3joYUJIWRTud0u8gncg74RtltY1+lVHDz5BD259b2ubFvNpk5f7SK8Hg/\n3H2cbbzC3hkRykWSJCXwJnADMBG4Q5Kkib0M3SCESOr+vN091xd4HpgOTAOelyTJstX0LEyH3sTu\ns1pGO01ld+mX6E12tF7qcqDytF3Er5oSilnQZ85LdVEL2toOxtspadLc2Unrri/wWLwYhZt9otQ2\n522mdHQWxkZFrxn7Vuf8DrxDG0CS0H7ae+kia6LVGTic44K3MpLPi7bYRcGiUMCUe6H0CNTYp4P6\nyuRQjGbBtj4y9kuyG9Fp9Uy4xv4b+T2MCOWCrBQKhBBFQgg98Alw0wDnLgZ2CyEahRBNwG7AerUx\nLMCX2dW0602smXAz2i4tB8vtZL3E3QIqFzjzsV3Eh/u5MSPKl43pvdfROn+0CpVawdhk27VmvZTW\nvXsxt7fjddNAv4qWpb6jnn2l+0icFoFKrSDnaJXtF3HqfZxGj8Zt1kyaP/sMYbJtpeBtZyrQG82s\njF5JflM+WfX2KV1E0l2gVMNp+wTBxAR6kBDixZZTvUdY5hyuROOpJjzBPkEvvTFSlEsIcKlDsbz7\n2JWslCQpU5KkzZIk9SSGDHTuiGHLqXJCfTSsnbSAAE3AxTh+m6PxljcrszbZbbNydUoYJQ060oov\nrxhg0JsoSK9hbPIouzQEA9Bu3YoqOBjXaVPtIn9rwVaMwsiq+FsZmzyKghM1GPU2fLg3XZDDcCev\nxXvVKoxVVbQfGVyP++GyMb2cicGe/GDySjQqDVvyt/Q/yRq4+ckZ+1mb7ZIfBnBrcghnK1rIrb68\nFXa7tosLWQ2MnxGE0hpVoofIyFlJ/2wHIoQQicjWyaC7+UiS9CNJktIlSUqvq7NPp7lqbSeHC+q5\nNTkUtcqJpVFLOVBx4GIWss1JuhM6miDvC7uIvyE+GHdnFRuvyHkpzqhD32mym0vMWFdH++EjeC1f\njjTM/vBDQQhBalEqSQFJRHhFMH5mMPpOE0UZNvzenv4AkGDyXbjPn4/Sy+vyjH0rk1PVQlaFltUp\nobir3VkSsYRdxbto07fZbA2XMel2aK+Fov12Eb9i0mhUColPr7Beco9VI8yCiSPIJQYjR7lUAJem\nqId2H7uIEKJBCNHzev02MGWgcy+5xltCiBQhREpAgH1cLZ+drsAs4NbJsnG1LGoZRrORLy7Y5+FO\n1DzwCJY39u2ARq1k+aTR7MyqorXz2xpO549V4+Frv3h97Y4dYDLhddMKu8jPa8qjoLmAZVHLAAiJ\n9sbDz4XztnKNmYxw+kMYtwC8QlGo1XiuWEHr3r0Ym2zzIrQpvRy1UsFNSfK9sjJmJR3GDvvdK9GL\nwMUbMq/e9M9a+Lk7Mzd2FJ+drsBokqtFCyE4d7iS4HFedmue1xcjRbmcAKIlSYqUJEkN3A5c5iuS\nJOnSV9gVQE73378EFkmS5NO9kb+o+9iIQwjBp6fKmRLuQ4S/vEEc6xtLrE8s2wu322dRCqX8Rpa/\nG1ot0+N+sKxOCaXDYGJHpvzgbGvqpCynkdgZQXaL19du3YZLQgLOY8faRX5qUSoqScXiiMWAXIp/\n/Iwgys430do49H44A6ZwL7RWytWBu/FetRIMBlq2W/+7qjea+ex0OQvjAvFxk7soJvonEuEZQWpR\naj+zrYTKGeJvhfOp0GUf62llcgi1rV0cLmwAoKqgGW1tx4jIyL8S+zizr0AIYZQk6RFkpaAE3hFC\nZEuS9BsgXQixDXhUkqQVgBFoBO7pntsoSdL/IisogN8IIYZU8tdgMFBeXk5np3VuXr3RzJMzPPBx\ndSInJ+fi8acinqKlq4Ws7CxUCjv8SoJuhUUzofACOFumWrKLiwuhoaE4OfVf1iYpzJvoUe5sTC/j\n9mljyD0u57aMn2nhFrYDpDM3l66cHAJ/9Su7yDeZTews2sns0Nl4u3xruY2fGcyJHRfIPVZNyo0R\n1l1E5ga5inb04ouHXGJjcYmPp3nzFnzWrrVq3s/enBqadAZWp3zrlJAkiaVRS3kz402q2qoIdreD\nyzRxjRySnLMdkmyf93P9hFF4aZzYcrKcOTEBnDtchdpFydjkUTZfS3+MCOUCIITYCey84thzl/z9\naeDpPua+Aww7CL28vBwPDw8iIiKscuNUNnegaNczIdgD1SV+fIPZQF5jHv4afwLd7FTJtM4ZhBkC\nxg87C1sIQUNDA+Xl5URGRvY7XpIkVqeE8dudOeTXtHL+aDXB47zwCrCPma/dug1UKjyX3mgX+WnV\nadR21PJk1JOXHff01xAS4835o1VMuSHceg/3rlY4v1N+eKou773uvWol1b9+gc6zZ9EkJFhHPnKR\nymAvF2Zf0YZiaaSsXHYW7+T+hPutJr9PwqaDTwRkfmIX5eKsUrJ8UjCb0stp1HZSeLqOmKmBOKmt\nX6l7sIwUt9iIoLOzEz8/P6vctGYhaNbp8XRRXaZYQC7F7652R9ultU8cP4Crr1yK39B7QuNgkCQJ\nPz+/QVmAN08OQaWQ+Gx3Ec01Ortt5AuTiZbt23G/7jpUPvZJl0otSsXdyZ05od/tGzN+VjDaug6q\nCgdWUXpInN8Jxg5I+G4FZs8bb0RSq9Fus55rrFrbyTd5dayaEoryCrdomGcYiQGJ7CjeYTX5V0WS\nZOul6BtosUNoOHLOS5fRTOquQoxdJmKm2be0fl84lMsVWOttsLXTiNEs8HFV93re29kbg9mAzqiz\nivx+0fgAklzmwgIM9v8xwEPerCzPqEflpGCcncz89qPHMNbV2S23pcPYwZ6SPSwMX9hrkcqxk0fh\n5Kzk/BErPtiyNoJXmPyWfgVKT0/c51xHy65dVst52ZohB72sTO69SOXSyKXkN+WT15RnFfn9krgG\nEHIIvx1ICvMmyt+N4lN1uHk7M3qc/YtU9oZDudiIZp0elUKBRx85Gx5qDxSSguauwXWdsxgKFbh4\nyR0qr+hbbiuWxwcR3gae0V526zap3boVhacn7vPm2kX+/rL96Iy6i1FiV+LkrGTclFEUnKzF0GWF\nh3tbHRTug4RVcmZ6L3guXYapvh7d8eOWlw9sO1PJpDDvi0EvV7I4YjFKScmOIjtZL35jISTFblFj\nkiSxMj4YnxYTQQm+I6JIZW84lIsNMJrMtHQa8XZ16vONXiEp8HT2pKWrBbOdHu64+snFLDvtUGYE\nGKdX4oJErsY+/35TWzutu3fjeeMNKNS9W5jWJrUolUDXQFKCUvocM35mMIYuK+W8ZH8mfwd6cYn1\n4D53Dgo3N7Spln+4F9S2kV3ZwopJfUc/+Wn8mDV6FjuLd9rvXpl0O9ScheqzdhGfJDmjRCJXbad/\n/wBwKBcb0NxhQIi+XWI9eDt7YxZmWvTffbjPmjWrXzkdHR3MmTMHU7e7wmQy8dhjjxEXF0dCQgJF\nRUVXv4CzByicZOvlEr744gtiY2MZN24cL730EgB6vZ7rrrsOo9Fy2cpF6TUYnCU+q2hAb7T9TdP6\n1VeIzk67ucQaOxs5XHGYpVFLUUh935rBY71w93EmP90KoeNZm2BUnNyxtA8ULi54LFxI6+7dmLss\nW9lh25lKJAmWJ159z21p1FKq26s5VXPKovIHTNytsrVvJ+ul9mwjOheJT4tr7LdP2w8O5WIDmnUG\nXJyUaPqJ6HBVueKkcELb9d3N2iNHjvQr55133uHWW29F2d3j/fe//z1RUVFkZ2fz6KOP8re//a3X\nefv37+eee+6RNys1PnLHQbOsNEwmEw8//DC7du3i3LlzfPzxx5w7dw61Ws38+fPZsMEyN1dHm56y\nnCaCEvzQdho4mG/7CgrarVtxCh+DJinJ5rIBvij+ApMw9ekS60FSSESnBFKW3Uhnu+GqYwdFYzGU\np0Fi/31jPJcuxdzaStuBAxYTL4Rg+5lKZkb5Mcrz6k3R5oXNQ6PS2C/nxc0Pxi2UlbHZtvXWWhs7\nqSxoJiDOl5LGDk6W2Km6Rz84lIuV6TSY0OmN/VotIPtSVSYVa1euJXFSIvHx8Rcf3u7u7ly4cIEJ\nEybwwx/+kLi4OBYtWkRHx7fRXR9++CE3db91t7e389lnn/HYY48BEBkZSUFBQf8L1ngDAjplBZeW\nlsa4ceOIiopCrVZz++23s3XrVgBuvvlmPvzww8H8d/RJ4ak6hFkwZ0EE3q5OfVZ/tRaGykp0aWl4\nrVhhl74tADuKdhDrE0u0T3S/Y6OnBmI2CwpPXb2B1KA4u1n+M35lv0PdZs5A6etLiwVdY2crWiiu\nb7+qS6wHVydXrh9zPV+VfGW/quKT1kBrFVywbeHZgvRaELD4xig0Tso+i1namxGT5zLSeGF7Nucq\nh7/3oDeZMRjNuDqriBvtyfPL4646Pm1fGqOCRvHptk/x1/ij1V5uxeTn5/Pxxx/zz3/+k9WrV7Nl\nyxa+973vodfrKSoqIiIiAoA9e/ZQVlZGUvdbeGNjIwsWLOh/wU6ucvXXjiZw9aOiooKwsG8T2UJD\nQznevZEbHx/PiRMn+rrSoChIr8EnyJWgcA9uiA9ma0YFOr0RV7VtvqLa7akgBF4r7FPu5YL2Apn1\nmfx8ys8HNN4/zB3vQFfy02uJu9YCdVqFgMxNMGYWeI/pd7ikUuF5ww00b96Mqa0Npbv7sJew7UwF\nTkqJG+IHFoa+NHIpO4p2cLDiIPPHzB+2/EETswScPeHMBoiaazOxeSeqCYz0JDjEg8VxgezMquaF\nFfGoVSPLVhhZq/kPxGQSKBUSA30XTk5K5tg3x/jlL37JwYMH8fK6vAVyZGTkRYUxZcoULly4AEB9\nfT3e3t+GJGZkZPCb3/yGjIwMMjIyWLRo0cV5PUyfPp2kpCR+8IMfsG3bNpKSkkiaPJkvD5+RE+lM\nV3e5KJVK1Go1ra2tVx3XH+3NXVTkNzMuJRBJklgxaTQ6vYk9/bRAtiQtqdvRJCejDgvrf7AV2FG8\nAwmJGyJvGNB4SZIYlzKKirwm2rUW2PeozoT63AG5xHrwXLYU0dVF6549wxZvNgu2n6liTkwAXq79\nV3UAmDl6Jr4uvvaLGnPSwMSbIGcb6G2TQtBY2U59WRvRU+XcluWTRqPtMHC4oN4m8geDw3Lpg/4s\njIHQoTeSX9tGiLcGP/eBdYeLiYlh39F9bNm2hWd++QwLFyzkuecuFirA2fnb6yiVyotuMY1Gc1nS\nYlNT08XseKPRyFdffcUvf/nLy2T1WCD79+/nvffe47333pNPGDqg7jx0NhMSEkJZ2bcdDcrLywkJ\n+fZNuaurCxeXq/vH+6PgpGzmR6fIuS3TIn0J8nRhW0blgFwkw6UrP5+u/AK7lXsRQpBamMq04GmD\nqtAQnRJI+o4LFJysZdL1w1SKWZvkDeqJNw94iiYpCaeQEFpSd+B988Dn9UbahUaqWzp5ZumEAc9R\nKVQsiVjC5rzNtOpb8VB7DGsNQ2LS7XKPl9ydcvi2lclPr0GSYNwU+V65NjoATxcV289UMm/8yCoB\n47BcrEhzhwEJCS/NwN7EACorKwnyDmL5bct58LEHOXVqYNEwPj4+mEymiwomJiaGY8eOAfCnP/2J\npUuXDqgUCyA3EFO5QEczU6dOJT8/n+LiYvR6PZ988gkrul1HDQ0N+Pv7D6h+2NXIT6/BP8wdnyA5\nr0GpkFiWGMw3ebVodRbcsO6Dll27QKHAc/Eiq8vqjTN1ZyhvK+93I/9KfIPd8At1J//EMKPGzCbI\n2iJvULv6DniaJEl4Ll1K+9GjGBsahrWEbWcq0TgpWTBhcA/IpVFL0Zv17CkZvvU0JMbMkhNObRA1\nJoQgL62a0PE+uHnJL5lqlYIl8UF8da6GToNtAwv6w6FcrIQQAm2HAXcXFapBNPDJysrimpnXcNu8\n23j5ty/zq0G8TS9atIhDhw4BcMcdd3Dq1CnGjRtHZmYmr7322sAX3xM1pm9DhZk33niDxYsXM2HC\nBFavXk1cnGzV7du3j6VLlw78ur3QUt9BTXEL0SmXv7GvSBqNwSTYdda6JTaEELTs3IXrtGmo7NSG\nIbUoFRelCwvGDGBP7ApipgZSU9xCS/0wyvaUHJErIA/hzdtz2VIwmWj5Yuhl8PVGMzuzqlg4MXDQ\ne2wJ/gmEeYTZrxyMQiF3dC38Wt6ntCI1F1poqe8keurlBV2XJY6mrcvIN3n26VHVFw7lYiU6DCb0\nRvOgrBaAxYsXk5mZycG0g3z81cfEJ8UD0NbWRkREBGfPfpu09cQTT/DrX//64s8PP/ww69bJPdR8\nfHw4duwYBQUFrF+/Ho1G06fMuXPnfusS66GnGm9nMzfeeCN5eXkUFhZe5lr76KOPeOCBBwb177uS\nnlyNHjO/h4QQLyL8XK0eNdZ1/jz6CxfwvGFgex2WxmQ2sbtkN9eGXou7evCb4j3/b8PKecnaCE5u\nEDv4Qp0uMTE4x8QMK2rsUEEdzTrDkFygPZWS06rSqNXZbo/uMuJukUP3c6wbFp2fVoNSpSBq8uUv\nQbPG+uHrpma7jSMs+8OhXKxEs84guw2GWMbE09kToNeEyr5ITk5m3rx5F5Moh4WTi7xh2cfbmF6v\n5+abbyYmJmZYYvLTawmM9MTT/3Ll17Oxf7SogdoW6/Uvadm5C5RKPBYttJqMq5Fek05jZyNLIpYM\nab6nv4agKE/y04f4YDV2wbmtMGEZqIdWhdpz6VI6Tp9GX95rj75+2ZZRiZfGietihmY5Lo1cikCw\nq3jXkOYPm9GT5UrJ2Z9ZTYTZZCb/ZC0RiX44X/FMUSkV3BAfxN6cWnR6+7Rg7g2HcrECPS4xD+fv\nVkAeKE4KJ9yc3AZdKfm+++67mEQ5bDQ+YNDJD6ArUKvVfP/73x/W5Rur2mkob/uOS6yHFUmjEQJS\nM63jGhNC0LJrF24zZ9qtAvKXF75Eo9Jwbei1Q77GuJRAGsrbaKxqH/zk/N1yTtNVyr30R09rgpad\nO/sZ+V069Ca+OlfDjQlBQw6ljfCKYKLfRL4otlOHSkmSrZei/d+pbmEpKnKb6WjREzO19x5HyxJH\n02EwsdeGEZb94VAuVkCnN2EwmQccUtkXns6e6E16ukyWLbExYFy6H7hW8iUXpNeA9F2XWA/jRnkw\nMdiTrVYy9zvPnsVQXm43l5jRbGRPyR7mhM5Bo+rbbdkf46aMQpKG6Bo7uwVc/YeVp6EODUUzeTIt\nqYN3C+3JqUGnN7F8mFGBiyMWc7bhLOWtdkoojLtVrsmWs63/sUMgL60atUbFmPjeAy6mRfoS4OFM\naubIcY2NGOUiSdISSZJyJUkqkCTpF72cf1ySpHOSJGVKkrRXkqTwS86ZJEnK6P5Y57c7CJo7DCgk\nCeSU+gMAACAASURBVE+XYSoXtewa660cjE1QqWVffIflKzULIchPryUk2hs3777DtFckjeZMWTMl\nDUN4K++Hlp27wMkJjwV2SMADTlSfoKmr6WIr46Hi5uXM6Bgf8k8Mss6UXgd5X8DEFaAcXlaC57Kl\ndOXl0Zk3uDL4285UMsrDmemRfsOSvyhcjvTbXbJ7WNcZMkEJ4DvWKq4xo8FEYUYdUZMDUDn17pVQ\nKiSWJgSzL7eO1k7rR1gOhBGhXCRJUgJvAjcAE4E7JEm6snLeaSBFCJEIbAZeueRchxAiqftjnxTr\nboQQaHUGPFxU32l0NFhUCpXcRExvxyZiGh+5cZQFmohdSn15G801Osb14RLroeeN1tKblcJspuWL\nL3C/5hqUVySq2oovL3yJq8qV2SGzh32tmKmBaGs7qC8bRG/3gt2y23MQuS194blkCSiVtOwYuGtM\n22Hgm9w6liWOHva9EuoRSrxfPF9e+HJY1xkyPa6x4gNy2wILUprdiKHTdDEPrC+WTwpGbzSz+5wV\nCpoOgRGhXIBpQIEQokgIoQc+AS4rTSuE2CeE6EmDPQb03knIzrR3GTGazXgPMkqsLzzVnhhMBjqN\n1tvUviqa7qgxC1svBek1KBQSY5Ovvokb4q1haoQPWzMsq1w6Ms5grKrC80b7uMQMZgN7S/cyN2xu\nr03BBkvU5AAUCom8weS8ZH8GbgEQfs2w5av8/HCbPo3WL74Y8IvQl2er0ZvM3JRkmUTZRRGLyG7I\npqy1rP/B1iD+VrkXkoVdY4WnanF2UxESe/V9wclhPoR4a6y2RzlYRopyCQEu/UaUdx/ri/uBS0ND\nXCRJSpck6ZgkSX2+hkmS9KPucel1ddaJCe9xiXkM0yXWg4faA0mS0Ort5BpTOoHaXd53sZD1JIQg\n/0QtoRN80bj3X9Bz+aTR5Ne2kVczvDIzl9KyaxeSWo379ddb7JqDIa0qjeau5mG7xHpwcXMiLM6X\ngvQahHkAvye9DvK+hAnLh+0S68Fj8RL0JSV05eYOaPz2zErG+LqSGGoZy3FRhJ1dY6Mmgn+MRV1j\nRoOJ4sx6opICUPaTL6dQSCxNDOZgfh3NOjsV87x0PfZewGCRJOl7QArw6iWHw4UQKcCdwJ8lSRrb\n21whxFtCiBQhREqAFRLmzN1RYp4uTigs1B1OpVDh5uRGS1eLfV1jpi6LucZqiltobewkeurAsrGX\nxAXx/+y9d3hc13nu+1tTUQYzAAiAKCRBEGADAfaiQrGIvYlFlmVVO3YSO7ZvnOvYx05OTlzujWPH\nduzcJ/ZJfOwktiRTzRKLiMYmiSLF3gk2gADY0MsM2vR1/9gzINGnbyrm73nwAJjZe9YmCMza613f\n975CQMmFyNyRSY+HzrIyTEuXRMRwMRTKa8tJ1CfyeE74qwY/k+ePpavdQf2NAG5ErlcoktiMrREb\nP2nVSkUaC6Chsr3byZHqVtYXZ0XMhTrHlENxWrHK0tg2qP0IOiMjTfklsUBjvzfOzMLlkZRfaojI\n+OHwoEwud4D7zZHG+R7rhxBiJfA/gaeklH0lVFLKO77PN4D3gTnRvNjh6Ha48XglyWFWiQ3EYrDg\n8rrodUd23yNg4pIBEbGqsesnlWawvFmBTfAZ5jgW5KZGbHLpOXUKd3OzalViLo8iiS0fvxyjNjDP\nuUDIm5WGVq+hKhBprHJHxCQxP7rUVBIWLqCzdHRpbG9lIx6vZH3x0KW1obI6dzWVrZXqSWMztgJS\n6R2KAH2S2LTASuWLcyzkjkl4IKSxoCcXIUSibwM+kpwAJgsh8oQQBuAzQD/hUggxB/h3lIml6b7H\nU4QQRt/XacDjQGWEry8gOnpcaDUCU1xk/UCTDEm8uP7FUaWxsJMoh+Hzf/bnZMxaQdGiZX3SWKhJ\nlNIrqTrVRG7R4GawkVhfnMm1xi6qmsKXxmylpYj4eEzLloX9WqFwtP4oNqctYpKYH0OcjtyiMVSf\nbR5ZGuuTxJ4CTWT/lM0BSmN7LtQzLiWe4pzIFlP4pbGK2oqIvm7AZExT5LEISGPBSGJ+hFB8+Q5X\ntdDSpVILg49Rr1gIoRFCPC+E2COEaAKuAPW+suAfCyEKwr0IKaUb+CpQDlwG3pRSXhJCfF8I4a/+\n+jFgAt4aUHI8HTgphDgHHAR+KKWM+eTilRKb3SeJRThsSqvRsnPfzlGlsbCTKIfhc5/7HGU73gKk\nIqVAyEmU9dVWeqxO8ucFJ0uuK85CCNhzPrzlvnS76SyvUHLgE0LrSA+X8tpykvRJPJY9enR1sOTP\nTafH6hxZGuuTxMKvEhtI0qqVoNGMKI119Dg5XNXChghKYn6yTdnMTJupnjQGyurl5sdgC68I5VZl\ncJKYn02zsvFKKL2orjQWyHR4EMgH/gbIlFKOl1JmAItRqrZ+5NsHCQspZYmUcoqUMl9K+Q++x/5e\nSrnL9/VKKeXYgSXHUsojUspiKeUs3+ffhHstodBlj4wk1t3dzYYNG5g1a1a/JMrC7ELqauuYNn1a\ndJMoh2DJkiWkZvkCpO6rGgslibL6dBNanYaJxWlBnTfWHMf83JSwpbGe48fxtLWpKokduHmA5ROW\nY9COXswQLBOL09DqNFSfGqFTO4JVYgPRjRlDwsKFdJaVD3sjVFHZiNsrWV8cWChYsKyeuJrLbZe5\nZftkS2NVQUpifqaOTaIgw6S611ggusRKKeWgrhwpZRvwB+APQojIbjI8CJR+GxouBHy4we0h3ytJ\nMGhhuGiwzGJY98MRX6esrIzs7Gz27FGMAO9PotQIDdVV1bzx+hvRS6IcDo0OhAbsHWDOBiGCTqKU\nvljeCTNSMYQgHa4vzuJ7uyupauqiICO0jXhbaSmahARMS5aEdH64HLl7hE5XZ8QlMT+GOB0TZqRS\nfaaZxc9MRgwsLHF2KyuXWc9FXBLzY167hobvfg/HtWvETZ066PkSnyQWqSqxgazKXcVPTv6E8rpy\n/rT4T6MyxoikTYaxxcok/shfhPQSbpeHmnMtFMzNCFgS8+OXxv5l/3WabHYyzOGXuofCqFftn1iE\nEPNGO+aPFYnE45XoNILAMyeHpri4mL179/Ktb31rUBJlgj6BnNwcZs2aBUQpiXL2bMrLh5EUhBY8\nzr6qsWCTKBtqbHRbneQHucz344+/DXX1Il0uOiv2YlqxAk2YAWehUl5bTpIhiUezHo3aGPlzM+ju\ncNBQM4TpaRQlMT9Jq1YNK41Ze5TUxEhWiQ0k25TNzPSZ6u27ABRthVvHwBqaHY1fEssfxhppNNYX\nZyElqlaNBXP7+FkhxN8AP5FSHgUQQvyzlPLr0bk0lRllhXE/nb0ualu7yUtLxBhmf8uUKVM4ffo0\nJSUl/N3f/R0rVqzoS6I06U0YDAZ63D0k6hOjl0Q5HBrfqsze3uegG0wSZfXpJjQ6wcSZwUlifjIt\n96Sxv1wxOejzu48fx2O1Yl4bnVXDaDg8Dg7eOsjK3JXotdFb7E+cmYZGJ6g+3URW/oDVwaXIV4kN\nRDdmDAkLFtBZVk76X/5lv0mkorIBlyd6kpif1bmr+cnJn1BnqyPXnDv6CZFmxlbY/33l5/3YV4M+\nvep0E8YEHeOClMT8TPFJYyUXGnjp0YkhvUa4BLPeakLpL3nH5wFWA0S2jvATirVXqRJLNIZfJXb3\n7l0SEhJ48cUX+eY3v9kviTJRryQ12hyD70gjmkQ5EkaTsu8iZVBJlH2SWGFwVWIDWV+cxZWGTqqb\ng7A58dFZXoEmIYHExeHbrYTCkTtH6HJ1RU0S82OM1zGhcAzVp5v6V435JbEoVIkNxLx2Dc6aGhzX\nrvd7vPRiAznJ8cyKkiTmx+81ptrqJXUSZM2GS+8Efarb5aH2XHBVYkOxviiTYzWtqlWNBXPlLwJT\npZTZwHLgQ+B4VK7qAcbd2oqr6d5maaSrxC5cuMDChQuZPXs23/ve9/olUWo1WjRCg805dNVYxJIo\nB/Dcc8/x6KOPcvXqVcbNXMJvXn0TXL1BJVE21tnoaneMavcyGut8fRGlQUpj0u2mc98+TMuXozFG\nrrckGMrryjEbzCzKWhT1sfLnptPV7qCx7r4bkSg0Tg6HXxrrLL8njVl7XRy63sy6osyoSWJ+skxZ\nzEqfRUWditLYjC1w5xR03AzqtFuVbTjDkMT8rCvOwiuh4pI6XmPBTC63gDwAKeVdKeVngfBiCD+B\neHt78bS2Ir1e4F7jZLCJk8PhT6I8e/YsJ06cYP78+cC9JMrjZ47j9rrpcfdEN4nyPrZv3059fT0u\nl4vbN2/yhee2gL0jqCTK6lNNaLSCvBAlMT9ZlnjmTkhmz4XgtOSekyfxtLWRtGZ1WOOHisPj4P1b\n77Niwgr0mujXv+TNTEOjFf2rxi7tgMQMyI18CfRAdGlpJMyfj+2+qrF9lY2KJDYzupKYn9W5q7nS\ndoVaa21MxhvEdF8XxeXdQZ0WriTmZ1pmEnlpiRFrPg6WYCaXr6FUhr3is7//KRB5H/QHHK3ZjPR4\n8HYr/3RrjwutiHzj5HCY9CaEEEMmVEY0iXI4tDowJOG0NrFl8+aAkiillFSfbmb89FSMEXAvWF+c\nxeV6GzUtgf/62crLlcbJJ0IP5QqHj+9+TLeru6/JL9oYE/SML0yl+nSz8ubu7FYaJwujL4n5SVq7\nBueNGziuK9JYyYV6si1xzBmfPMqZkaGvoVKt1cuYfKVCNIiSZI/LS+25FvLClMRAqRpbV5TJxzda\naeuOvddYwFfva0yci+JYHA80MMC5+I8BjcmE0Gjw2GyKl5jdRVJ85Bsnh0Or0WLSm4ZtqIxoEuVw\nxCdj0Epefj6w9MLmm510ttnDlsT8+DeDA70jkx4PnXv3YVq6FM0IK7hosrduL0mGJBZlRl8S85M/\nJ4PONjtNdZ2KJObujYi9fqCYV60CIegsK8dmd3HoeouvGTY2fyuZiZnMSp+lbkNl4WalaizAhsqb\nlxVJbLgAvWBZX5yFxyvZWxn7qrGgpkYppUNKuUdK+Q9Syh/7Pb3+mBAaDZqkJLw2G912V0QlsUAx\nG8y4vW4VvcZ8m7EB2vBXnWpCoxEBe4mNRnZyPHMmJLMnQP+k3tOn8bS0YFZJEnN5XBy8eZDl45dH\ntUpsIHmz0tBolKoxpXEyNpKYH116uiKNlZezr7IRp8cb9SqxgazOXc219mvU2epiOm4f/sk8QGms\n6lRjRCQxPzOyzUxITaAkSBk5EjwoxpWfKPzSWI+1U7HXj0CVWDD4bfiHksZigt+G3z66Db8iiTUx\nbloKcYmRe2PdUJxFZb2N2gCkMVt5BcJoVK1x8mj9UTpdnX0VTLEiLlHPuOkpVJ9qRF7bq9jrx0gS\n85O0dg3O6mqOHThBVgwlMT+rclcBKtrwp01WvMYCkMYiKYn5EUKwrjiTw1UtWHti244YinHlqmhc\nyCcJTVISaDTQ2RlRe/1A0Wq0D4ANfzK4HTBKiFnLrS5sLfawK18Gss53B7xnFGlMer10VlRgWvIE\nmsTEiF5DoOy7uY9EfSKPZkevcXI48udmYGt10NKbGdXGyeEwr14NQmA8/D7rirJi/reSZcqiOK2Y\nfXX7YjpuPwo3Q92RUW34b/klsRCbjIdjfVEWbq9k7+XYVo2FMj3+KOJX8QlDaDTIhEQSnb1YwujZ\nCAezwYzLq2JCZZzvDtQ+sjRWdboJoRHkzQqvSmwgOcnxzB6fTOnFkSeX3rPncDc1kbRancbJ+xMn\no+ElNhqTZqUjhJcqzwqYEDtJzI8uPZ2eqcU8dvscG2aq0xa3KncVl1ovcadLJRW/cDMg4crI0lj1\n6SYM8ZGTxPzMHGchJzk+5lVjD2WxEOk2JKCVHhK96iS+JRmSEDwA0tgo+y7Vp5rImZIcUOJksGwo\nzuLiHRt1rcNLY53l5Qi9HtPyZREfPxBONpzE6rCyaoI6C/44o4dxxotUO5cgYyyJ+Tk6YTa5nY0U\nOttUGX9lruKpp9rqJX2aklA5gjTmcXupOd+iZPLoIvu27K8aO3S9GZs9dtJYQP8KIcR/CiH+Qwjx\nn8AE39f/IYT4jyhf3wOJlJJW9EghkLbIRe8Gg06jI9GQOGxDZUyIS1ZkMdfQqyeP24u1uTdilS8D\nWVvka6gcxlpcSomtooLExYtVS5zcW7eXeF18RBMng6L6APmGj7D2mGi5HbyrQbh0Ody8olecIbr3\nqbPvMT5pPNNTp6tXkiyE0vNS+xF0twx5yO2r7Th63CH77o3GumIloXJ/DKWxQKfI/wJ+6/vc7vva\n//FHR4/Tg9MLMiERj82q2pu72WDG6XFi96gkjcX7qsaGkcbcTi9CELEqsYGM9+WvD9etb79wAXd9\nvWqNkx6vh/0397Nk3BLidOoYZVK5k0mWywgNI9vwR4kDV5po0CfhKSzGVq5et/yq3FWcbz5PQ7dK\nRo6Fm0F64cqeIZ++cboJfZyW8dMjK4n5mTM+mSxLXEyrxgKaXKSUH/g/gM4B30cEIcRan2dZlRDi\n20M8bxRCvOF7/pgQYuJ9z/2N7/GrQoioi+vWXhcaITAkW5BuN96e6JcEP/bYYL08yZAE3PMai0YS\n5a1bt1i+fDmFhYXMmDGDf/mXfwF8SZTLV+IWxiGlMSklbqeH7CkpJJijt9ewriiLc7et3G7vGfSc\nrbwc9HqSli+P2vgjcbrpNG32tr6KpZjjdsLVUuJnLCNnSgrVZ5pjfiNUdrGe9CQjmZvW47hyBWed\nOiXB/v+D/Tf3qzI+mcWQkjekNOb1eLlxtoWJxWno9NGRLjUawdqiTD641kyXI7j02JDHDOGciG8y\n+GKTfwGsAwqB54QQhQMO+wLQLqUsAH6Gr7DAd9xngBnAWuCXUYhh7kNKibXXRVKcDp3ZDELgtY0c\nPxwJjhw5MugxnUanVI35pLFoJFHqdDp++tOfUllZydGjR/nFL35BZWXlvSTKkveV5rwB0pjH5cXr\nkeTPic6qxc86nzRWNkAak1LSWV5B4qOPoLVE1yRxOPbW7SVOG8cTOeq4AlDzATisUPgU+XMz6Gjs\noe1u7Ew1epxuDl5pZu2MTCy+1aOtQp3Vy0TLRAqSC9QzshRCWb3UfAA9/fee7lzvwN7tiliT8XCs\nL87C6fZy4EpsVrBBTy5SykeicB0LgSop5Q0ppRPFBWBg9/9m7slwbwMrhNLquxl43dfgWQNU+V4v\nKvQ4Pbg8XizxeoRWi9ZkwmOL3L7HcEmUJpOJ2tpapk+f3i+JUu/V4/Q4cXgcUUmizMrKYu7cuQAk\nJSUxffp07txRqm62bNnCa2/70qYHSGOOHuXuaFKUJ5eJaYlMzzIP2nexX6rEdfs25jXqVIl5pZd9\ndftYnLOYBL06ccpU7gCjGSYtY9LsdBBKRVKs+OBqM70uD+uKMtFnZxM3cyadKkpjq3NXc6bpDM09\nzepcQOFm8Lrhamm/h6tPN6MzaJgwY0xUh583IYWMJCMlATYfh4s6dbSDyUExxvRzGxjok9F3jJTS\nLYSwAmN8jx8dcG5OuBf0o+M/4krblUGPO91eXB4vCUYdAsVtVzocaKrjld6XEZiWOo1vLfzWiMeM\nlEQJcP36dbZv396XRLl3914WrF9AS1dLdJMogdraWs6cOcOiRcp/TVFRESdOngJ9gjK5JN0rNbX3\nuNDqNSRaou9AvL4ok5/uvUaD1U6mRdnb6CwvB60W05NPRn38oTjXfI7m3mb1JDGPS9H3p64DnZEE\nM2QXJFN9ppmFmybF5BJKLjaQmmhgYV4qAOY1q2n68U9w3r6DYVzYf6JBsyp3Fb8890v239zPZ6Z9\nJubjkz0HLBMUaWzOCwB4vZIbZ5vJLUpDb4huNZ9fGnvjxC26He6IRISMOF5UX/0BQwjx50KIk0KI\nk83Nod29SECruZc3KXwSlHRHRsccKYkSlBWIf8KYN28et2/eJlGfSF19XVSTKLu6unj66af5+c9/\njtlsBu5LonTrlHRKt5Ib4XZ58Li86Ayx+fXyN1SW+XpelCqxchIXLUKXEp0N0tGoqK1Ar9GzZJw6\nrgDUfgS97b4eC4X8uRm03e2mrT760pjd5eHA5UbWzBiLztdtnrRakcY6VZLG8pPzybPkqVeSLIRi\nHFp9AOzKTWNDdQe9NmfUJTE/64qyyEmO53Z79PeJR526fBvnXwHygTbgLLBbShnJnbk7wPj7vh/n\ne2yoY24LIXSABWgN8FwApJS/An4FMH/+/BF1rJFWGFLKfuZ7jtpapNOJcfLksE35RkqiBDDel0Xi\nT6JMMiQh9IJe+71fmEgmUbpcLp5++mleeOEFtm3b1u85h8NBXPJYaLcpqxfT2D5JTBflOzE/BRkm\npow1UXqxgc89nofj6lVcdTcZ8yefj8n4A/FKL3vr9vJ49uOYDOqUQFO5E/SJkH9v5ZY/J51Db1zj\nxpkmUrMiEBw3Aoeut9Dt9PRFUwMYxo/HWDidzvJyxnz+T6I6/lAIIViVu4pfX/g1bfY2UuNSY34N\nFG6Bj/8VrpbBrGepOt2MVq8htyi6kpifRyalsv+vl8bEPDSQW8udwBWUDfdVwCzgQyHEL4QQkdI8\nTgCThRB5QggDygb9rgHH7AI+6/v6U8ABqWx07AI+46smywMmE+UQs4H/MVqzGel0Iu3hlwSPlEQ5\nHGaDGUuyBbfbHfEkSiklX/jCF5g+fTpf/3r/ROu+JMp4kyKN+arGHD1u9EZtTK0+1hVlcby2jeZO\nh1IlptGQtCo8GTBULrZcpLGnkVUTVZLEvB7FKHHKGtDfc4FOTDaSlW+h6nT09xxKL9RjidfzaH7/\nN03z6jX0njuHq0GdkuBVuavwSi8Hbh5QZXxy5oE5Byp3Ir2SG6ebmFCYiiFGkR1CiJi5UgcyuWil\nlL+RUu4H2qSUf4ayiqnFtwoIFymlG/gqUA5cBt6UUl4SQnxfCOFL3OE3wBghRBXwdeDbvnMvAW8C\nlUAZ8BUpZRQDTQajNZsBgccWfrf8SEmUw6HX6knQJ/DY8scinkR5+PBhXnnlFQ4cONAnm5WUlAD0\nT6KMSwZXD267HbfTgzEhttt564ozkRLKL9bTWVZOwsKF6MbE5m5wIPvq9qHT6Fg6bqkq41N3BHpa\n+klifvLnZtB6u4uOpsGl25HC4faw93IjqwrHoh9gwOjvOeqsUKehcmrKVMYnjVfPyFKjURoqq/bR\neK2Bbqszao2TqiOlHPED+DnwVd/Xpwc8d2208x/Uj3nz5smBVFZWDnosUOw3bsjeq1el1+sN+TXC\noaWnRb6570353PPPxWzMrVu3yqtXryrfuHqlvHNadjW1ysZaq3S7PGH9PIPF6/XK5T8+KL/2g7dk\n5dRpsu33v4/Z2AOvY83ba+SX9n5JlfGllFLu+YaU/89YKR1dg56ytfbKf/3ifnmqrDZqwx+43Chz\nv/We3H+5Ycjnqzc9JWteeCFq44/GP5/8Zzn7t7Nlh71DnQuoPSLld8zy0C/fk7/88gFp73Gpcx0h\nApyUAbzHBrJy+TpgEUKcBLJ9m+IvCiF+gbLn8RBAa7Eo0pjDocr4ZoOZwlmFLFq8KLpJlD6cTidb\ntmy5l0SpiwNdPA67RGfQRtwfaTT81uJJxw6BECSFWRkXKpVtldzpuqNelZjXC5W7YPIqMAx2gU5K\njWNsnjmqJcklF+pJMup4vGBos9KkNavpPXUaV1PsHQNAKUl2SzcHbx1UZXzGL0ImZlJ9xcP4wlSM\nKpnfRptR3wGklF4p5T8AS4A/BzKBecBFlKbHhwDaJKVb3mONfkPlUOi1euL18Wx8bmP0kygBg8HA\nyy+/3O8xjzEFt1ePMT62tup+1hVl8didc3RNLUaXHpvqm4FU1FagFVqeHK9OCTS3j0NXw5CSmJ/8\nORk01XVia4l8xZDL42Xv5UZWFo7FqBv699C8Zg1ISec+daq2CscUkp2Yrao01pT9El0OE/nFZnWu\nIQaMOrn4GhWRUvZIKXdJKb8vpfy/pZT/W0rZcf8xf8wIvR5NYmJEGyqDxWwwY3fbcXrUcWp2eJXK\nKKMmdl3g91PQ28zEzkaOjJupyvhSSvbW7WVR1iKS42IbitVH5U7QGmHy8H5q/rLX6jOR39g/eqOV\njh5Xn3PCUBgLCjBMmqTavosQgpW5Kzly9widTnWMZ2+4FqPBTV7CWVXGjwWBaBcHhRD/lxBiwv0P\nCiEMQognhRC/5V4V1x81WrMZ6XCoKo0Bqtnw2+2g07jQOQOLP440nRUVSCF4TT8p5ql7AFfarnCr\n81bMEyf7kFKpEitYAXHD3xGb0+JJn5AUFWms5EIDCQYtS6aMvHJMWrOanuPHcbepY8O/KncVbq+b\n92+9H/OxpZRUVRsYF3+VuBvvxnz8WBHI5LIW8ADbhRB3hRCVQoga4DrwHPBzKeV/RfEaPzFofc2F\nHqs6b+4GrYF4XTxWR+ylOY/bq1SJGSU4u5QO8RjTWV6BnDGTJqM55ql7ABV1PklsgkqS2J1TYL01\noiTmJ39uOo01NjrbIueo7fZ4qbjUwJPTMogbxYDRvGYNeL2qSWMz02eSmZipitdYy+0ubM12JhV4\n4PpecKqz0o82gey52KWUv5RSPg7kAiuAOVLKXCnln0kpz0T9Kj8hCL0eTUICnhgYWQ6H2aiONOZv\nnDQm+Xy0RkmojPj4NTU4rl4lc9N6si1xw9rwRwspJRW1FSzIXEBKnDquAFx6F7QGxfJlFPLnKOWv\nNyIojR2vbaO128n64qxRjzVOnYo+d4JqXmMaoWFV7ioO3z0cc2ms+lQTQsCkZXPA1aNMMP8NCaqk\nR0rpklLW+/daHjIYrcWCdDjwRqChMhTUksYcPS50ei26uHjQDW3DH038b1LmNatZV5zFoestdMYw\nde9a+zVudt5k9UQVJbHKnUpHftzoLtDJYxMYk2Oi+kzkpLGyiw3E6TUsmzp6MYUQAvPqNXQfO4a7\nvT1i1xAMq3NX4/K6YiqNSSmpOt1EztQU4qc9DglpIyZUfpIJeHLxdcA/L4T4WyHE3/s/onlx/BYb\n5gAAIABJREFUn0Q0fmksAg2VoWDQGojTxfVlvMQCj9uLy+FrnBRCaah0dimd4jHCVlFO/OzZ6DMz\nWVeUidPjZf/l2JW6lteWoxEa9arE+iSxLQGfkj83nfpqK90d4e8ReryS0osNLJuSQYIhsNLapLVr\nwO2ma786GSsz02cyNmFsTKWx1jtdWJt86axaHUzfBNfKFW++/2YEs3LZiWJv7wa67/t4yH1ofNKY\nV6WSZFBWL73u3phJY45enyTm78qP91VKuWPzB+O8eRNH5WWSfPb6cyekkGmOY0+MpDF/ldiCsQsY\nE6+OK0Awkpif/LkZIOHG2fClsZM+6531M0eXxPzEFRainzABW9lgo9RYoIY0VnWyCaERSgQCwIwt\n4OqGqtjsPfVeuMjNz38BZ21t1McKZnIZJ6V8Vkr5T1LKn/o/onZln2C0ZgtehwNvBKvGhkqiHIg/\niTJRpzTPdfR2hJ1EabfbWbhwIbNmzWLGjBl85zvfAXxJlEuW4Ha7cXQr9vp9RpW6eKUc1hk9i5H7\nsflcnM2rlcZFjUZpqPzganNMpLHrHdeptdU+GJJYfOAl0KlZiaRkJUakamzPhXqMOg0rpgVuZSKE\nwLxmDd0ff6yaNLZm4pqYSWN9ktiUZOKTfOmsuYshYQxc2hH18QFspaV0nziBNgZu4cFMLkeEEMVR\nu5L/Rmgs/qqxyK1ehkqiHIg/iTLBkECcLo4f/fBHYSdRGo1GDhw4wLlz5zh79ixlZWUcPXq0L4ly\n+/btPklMf+8kIZQ3ObdjUOpeNOgsryCuuBh9zr2MkI0zs3B6vOyLQdVYRW2FIompXiUWuCTmJ39u\nOnevd9BtDf1GyOOVlFxQqsSCzQgxr1sLHo+qVWMZCRlU1EVfGmu5fZ8k5kerg2kb4VrZoDTXSCOl\nxFZWiumxx2KSzhrM5LIYOO3LqT8vhLgghDgfrQv7JNMnjYWw7xJsEmVv7z3p6f4kSq1LS9nuMr78\n1S8DoSdRCiEwmZTmSJfLhcvl6nNV3bJlC6++8hrAYKPKuGRAKoFVUcR5+w72ixcxr+2fODlnfApZ\nljj2RDl1T0pJRV0F88bOIy1+aLuTqHPpXdDog5LE/BTMy0DK8KrGjte00dLlYEMQkpgf4/TpStVY\naVnI44eDRmhYnbuaI3eO0OXsiupY1acGSGJ+Cjcre5TV0d17sp87h/tuPUnr1kZ1HD/B3GasBSV8\nMUrX8kDR8IMf4Lg8OIkyUKTLhdfpRJMQjxDKHG6cPo3Mv/3bEc8LNonyD3/4Ay+++CJOp7NfEuXJ\nQydpuNvA3Dlz0Wq0YSVRejwe5s2bR1VVFV/5ylf6JVGeOnUSrU6DTj/gPkUfDxodXHoH5r4U0riB\n0OmTxPxBVH40GsH64ixe+bgOa68LS7x+qNPDprqjmhprDc9Pez4qrz8qfkmsYEVQkpifMdkmUrMT\nqTrVRPGycSFdwp4Ld4nTa3gyCEnMjyKNraX1N7/B3d6uSrjb6omrefXyq7x/+302TtoYlTGklFSd\nGiCJ+clbAvEpyv/jtA1RGR/AVlqG0OtJWrEiamPcTyD2Lx/5vrwEXEDxFLvo+/5i9C7tE45Ombel\nO7iKqWCTKGt9G3MtLS39kigvXbjE1/7ma+w6tCvsJEqtVsvZs2e5ffs2x48f5+JF33+7FOj1Bpxe\n++CMCCHAkAA3PoDu6Pmb2irKiSssxDB+/KDnNvilscroSWMVdRUIFDsRVQhDEvNTMC+Du1UdIVWN\nuT1eyi42sGLa2ICrxAbSJ43tVaffY1b6LEUai2LVWMvtLqzNAyQxP1q9MqlcLe1Lc4000uvFVl5O\n4hNP9PkgRptRfxuklIt9n2NzRQ8Io60wAsFRXQ1SYiwoCPicUJIoAeLj4/uCwkBJoizILqDH1UOv\nozesJEo/ycnJLF++nLKyMoqKinD0uHE6HSSnDpO2qE8A6YHLu2B+5JMHXXfvYj93nvQBIWZ+5oxP\nJic5nj0X6nl6Xmh35aNRUVvB3LFzP5GSmJ+CeRkc311D1ekmZj05eJIeCUUSc4YkifkxTpuGITeX\nzrIyUj796ZBfJ1T8VWNvXX2LLmdXVNJD+ySxOcP0ABVuhTOvQvVBmBp52ar37DncDQ2Y/3rov5Vo\nEEyfyzNCiCTf138nhHhHCDEnepf2yUdrseC124OqGgsliRIgJSUFj8fTL4nywqkLAPzopz8KOYmy\nubmZjg6lIbK3t5e9e/cybdo0AOpvN5CaOob4xLihT9YaYEyBIo1FAdt9jZNDIYRgfXEmh643Y+2N\nfNVYdUc11dZqdb3EQqgSG0hKZqLSUHkq+KqxPRfqiddrWT419MArIQRJa9fSfUw9r7HVuatxep18\ncPuDiL92P0nMZBj6oLwlSvNrZXSqxmxlpQiDAdPy5VF5/aEIZkP/f0kpO4UQi4GVKMmQ/xbuBQgh\nUoUQe4UQ132fB4muQojZQoiPhRCXfMUEz9733H8JIWqEEGd9H7MHnq8WoTRUhpJE6Wf16tX9kijP\nnT3H+oXrOXfuXMhJlPX19SxfvpyZM2eyYMECVq1axcaNG/G4vbz/wfusW7t+5BeYsQ1qP4KuyDc0\n2kpKiJsxA0Nu7rDHbJiZjcsj2RsFacwviamW3eKXxGZsDfulCuZlUF9tDcprrE8Sm55BvCG8mId7\n0pg6VWOzM2aTER8daWxEScyPzqBUjV0pAXdk+9Ok10tnWTmJS55Aa4r8qmz4gQNMbgTO+D7/I/D8\n/Y+F8wH8E/Bt39ffBn40xDFTgMm+r7OBeiDZ9/1/AZ8KdtxIJ1EOh72qStqvV0X8dYfi1KlT8sUX\nX+z3WFN3k7zYfFE63c6IjtVtdcj1azbKSxeH/5lVVlZK2Vgp5XfMUh77VUTHd9TVycqp02TLr389\n4nFer1c+9o/75ef+41hEx5dSyi07tsiXS16O+OsGTNnfSvm9MVL2tIf9Uu0N3fJfv7hfntlbF/A5\nH11vlrnfek+WXrgb9vher1dWrVkraz/3ubBfK1R+cPQHcu7v5sou5+AEz3A48m6V/MVfHJA9nY6R\nD7xarvytXC2L6PjdJ07IyqnTZMfu9yLyekQwidLPHSHEvwPPAiVCCCNBepMNw2bgt76vfwsM2pmU\nUl6TUl73fX0XaALUSYMKEq3Zgtfei9cZ/W75uXPnsnz58n5JlGajsnqyOiPrGGBr72bD+qconDF9\n5AMzpkP6NGVvIJLj+0pXzWtH1qeFEGycqXiNRdKG/4b1BlUdVSo3Tu4KWxLzkzw2gbTxJqqCkMbe\nO19PgkHLsjAkMT+KNLaGHjWlsYk+aexW5KQxKSXVp5oYN3UESczPpGVKCf/FyMrIttIyhNFI0vJl\nEX3d0Qhmcvg0UA6skYpxZSrwzQhcw1gppb8ZoQEYO9LBQoiFgAGovu/hf/DJZT/zTXoPDNFoqByJ\nz3/+8/2SKI1aI3G6uIja8HvcXjRo+exnXx79YFCksbojYItcz4mtpIT4OXP6NU4Ox4aZWbi9kvLK\nhoiNX1ZTprIkdhqsNxX7kAgxef5YGmtsASVUKpJYPSunjx3VXj9QzOvWKTb8KoWIzcmYQ3p8ekQb\nKltuKZJY/twAJmCdAQqfgivvRcxrTHo82CrKMS1diiZxcOx1NAl4cpFKEuU7960g6qWUAf0vCCH2\nCSEuDvHRL3jCt+Qato9GCJEFvAL8iZTS63v4b4BpwAKUCe9bI5z/50KIk0KIk83NkU/hGwqNwaA0\nVHao5zVmMVoiasNv71ZWAP268keiaBsgI7ZZ6aiqwnH1qvJmFADFORbGp8ZHrKFSSklpTSnzM+eT\nkRD+XXtIXHrHVyU2yp5XEPjfAKsCsIP5+EYr7T2usKrEBmKcMgVDXh62MvUaKlfmruSjOx/R44qM\ndVHV6VGqxAZS9LTSUHk9MhNcz6lTeJpblD2tGBMJWWtUpJQrpZRFQ3zsBBp9k4Z/8hjyN1sIYQb2\nAP9TSnn0vteu90mBDuA/gYUjXMevpJTzpZTz02OYsa61WPA67Krb8Edq9eLocaMzaAc3Tg5H2mQY\nWxwxacxWUgo+GSUQhBBsKM7mcFUL7d3hT7BX2q5Qa6tlXV7o5b9hEWFJzI8lPZ6M3KSAqsb2nK8n\n0aBl6SiJk8HQJ40dP467NXq9USOxZuIaHB4HB28dDPu1pK9KLCBJzM/EJyAxAy68Hfb4AJ1lZYi4\nOExLl0bk9YIhJpPLKOziXkzyZ1Hcl/shhDAA7wK/k1K+PeA5/8QkUPZrHrjGznsJleqsXgxaA/H6\n+Ijsu7hdHtxOD3ED7V5GY8YWuHUMrLfDGl9Kia20lISFC9FnBL5q2FCsSGMVEZDGSmtK0Qkdqyao\nWSUWWUnMT8G8sTTVdWJtHv7O3eXxUnapgZWFkZPE/JjX+qQxlRoq52TMYWzCWEprSsN+rZZbXdia\neymYN6LS3x+NVqn+u14B9vBiM6THg628AtOyZWgSEsJ6rVB4ECaXHwKrhBDXUUqcfwgghJgvhPi1\n75hPA0uAzw1RcvyaEOICintAGvD/xvbyR0fo9WhMJjxWq7/6LeZYDBYcbgd2d3irp77EycQg7VSK\ntimfw1y9OK5cwVlTg3l9cHJQUY6ZCakJvBemNOaVXkprS3ks5zGS4yK3agiKC28prtNRsArJn6es\nREba2D9S3UpHj4sNASROBotxymQMkyb1FWzEGo3QsC5vHYfvHKYjzDTVKl/jZN7sIBtsi54Gtx2u\nloQ1fs+JE3haW0cteokWqk8uUspWKeUKKeVkn3zW5nv8pJTyT31fvyql1EspZ9/3cdb33JNSymKf\nzPailDK67nMhorVYkE4nsledUCB/1Vi4CZWObkUS0+qC/NVJnQRZs8OeXGwlJaDVkrQ6uFWDEIIN\nM7M4Ut1KWxjS2NmmszR0N6gniXncSjXRlDUBJU4Gi3lMPGPzzCNOLnvO38Vk1LEkgpKYHyEE5rVr\n6DlxAneM9kUHsj5vPW7pDmtjX0rJ9RONjJ+WErgk5mf8QrBMgIt/CHl88FWJJSRgWrokrNcJFdUn\nlz8WtGYzCKGaNKbX6EnUJ2J1hL56crs8uF0e4oJdtfiZsVWRdNprQzpdSomtpJTExx4LyeBwQ3EW\nHq+k7GLo0lhJTQlGrZHl42PX6dyP2g+huwmKn4naEAXzMmi51UVH42BpzOXxUn6pkVVRkMT8+KvG\n1Fq9TEudRp4lLyxprMHXkDplYRCSmB8hoGgrVB8IObJCut10VlSQtGwZmvj4kF4jXB5OLjFCaLVo\nTUmqSmNmoxmnx4ndE5o05ugekDgZLP5O8hBXL/bz53HduRO0JNY3fLaZvLREdp+7G9L5bq+bvXV7\nWTpuKYn62JZ19nHhbTCaYXL0+mv6qsZODXY1+PCaYqUTDUnMj3HyZIzTpmF9772ojTESQgjW5a3j\nVOMpGrpDuxG5drwRnV5D3kB7/UAp+hR43Yq9Twj0HD+Op709Zvb6Q/Fwcokh2mQL0u3G2x18mWMw\nSZT+JkqPx9MvibLldgsCgc0RvDTm8Xh4dPFCXvrTZ9HqNP2SKAMmJRdy5ofcJGYrKVEsw1eGZhku\nhGDz7GyO1rRSbw1enjxWf4w2exvr8yJX/hsUrl6lSmz6U6Afxs8tAiSlxpGVbxlSGttx9i4pCfqo\nSGL3Y9m0Efv58zGJ4x2K9XnrkUjKaoJfPXk8XqpONTFxVhqGuBBvxDKLYczkkKUxa0kJmoQETE88\nEdr4EeDh5BJDNCYTaDR4rMFvFAaTROlvovzHf/zHfkmUv/q3X5FoGCyNjZRE6eeff/ozCvKnoNEq\n1vr+JEp/mFnAFG2DhvPQWj36sfchfTJJ4pIlYVmGb5mdg5Sw62zwq5eSmhJMehOLxy0OefywuF4B\nzk4o/lTUh8qfl0HrnW5a797bwuxyuNlb2cCGmVkYgt1zCxLzhg0gBNb3ohs2Nxy55lyKxhRRUhP8\npvqtyjbs3S6mLMwM/QKEUDb2az8KuvnY63DQWVZO0urVaOKidxMyGg8nlxgitFq0SUl4bTak1zvk\nMZFKouzu7ubdd9/la1/7GnAvidJisODyuuh1B37nfvv2bfbs2cMLn3m5b3IBJYnytddeC+6HUOjr\nmw1y9dJ76hTupibM68PbSJ+Ylsjs8cnsCHJycXgcHLh5gBUTVmDUqmQCceEtMI1VHHSjzOT5YxEa\nwbXj96Sx8osN2F1ets4Z3RUhXPSZmSQsWIBt927VZOT1k9Zzue0yNdaaoM67drwRY6KOCYWp4V1A\n0dOE0nzcdfB9vF1dWJ7aFN74YRLimu2/P4fevEbLrcgWnqWNN/HY2kw8Vive7u4h78AjlUS5b98+\nbt261RcQ5k+iTDIkIYTA6rSSoA+s9v2v/uqv+F/f/j69vd39QsGKioo4ceJEcD8EyzjIfRzOvwFL\nvqHcoQWAtaQEER9PUgQsw7fOyeE7uy5xtaGTqZmBrYI+uv0RXa4u9SSx3g64VgELvqD0QkSZBLOB\n8dNTuXa8gUeemoTQCHacvcP41HjmTohNWqR500Ya/tffY794kfji4piMeT9rJq7hxyd+TGlNKV+e\n/eWAznHa3dSca2bqoszgKyoHkj5FkccuvA2P/EXAp1l370aXnk6CLzFWLR6uXGKMxmRCaLV4hrGD\niVQS5dmzZ/n+97/P2bNn+yVRajVaTHoTNoctoCTK9957jzFj0igunIU+vv+bmlarxWAw0NnZGdwP\nYeaz0Hod7gaWVSPdbjrLyjEtWxqRZrANM7PQ+t4sA6WkpoTUuFQWZg1rABFdLu8GjyMmkpifqYvG\n0tXm4O71Dppsdg5XtbBlds7g1NEoYV6zBqHXY929OybjDSQjIYOFmQspqSkJePVUc64Ft9MbniR2\nP0WfgjsnA66wdLe30/Xhh5g3bkRoo38TMhIPVy7D8MSnp0TttTVmM16rFen1IjT95/dIJlH6w8Hc\nbne/JEqL0UKns5MDHx0gUZ84YhLl4cOHeW/3bkpLSnG6HNhsNl588UVeffVVABwOB3HB6rqFm6Hk\nm3DudciZN+rh3UeP4WlvD7lKbCBpJiNLJqex88wdvrl6KhrNyG+W3a5uPrj9AVsLtqLTqPQnc+Et\npVcoe27MhsybnY7eqOXq8QZuTDTilbB5dvQlMT9asxnTsqXYSkoZ+z/+B0IX+5/9+knr+c6R71DZ\nWsmMtBmjHn/teCOmVCNZ+RHqQSraBvu+o2zsP/HXox7eWVYGLheWzU9FZvwweLhyUQGtxYL0evEO\ncccfySTKo0cVC7af/exn/ZIoTXoTGqEJyGvsB//wA84eu8LFM1d4/fXXefLJJ/smltbWVtLS0tDr\ng+x7iU+GaeuVPxjP6Db4tvfeQ5OYiGlJ5PYatszJ4a7VzvHa0fsIDtw8gMPjYP0klSSxzgao+VDp\nbYnRqgFAb9CSPyed6lNN7Dp9m+IcCwUZMQybAswbN+FpaaH76LGYjutnxYQV6DS6gDb2e2xObl1u\nY8oCZb8qIiRPgPGLAt6jtO7arZRyT50amfHD4OHkogKaxESETjdkQ2UkkyhPnz5NQUEB58+f75dE\nqdVoSTIkYXVY8cqhCwv8OHrdSK8c0u7l4MGDbNgQogXJzM9ATytUjZw86O3uxlZRQdK6tWiMkdtI\nX1U4lgSDlp0BSGOlNaVkJmYyK31WxMYPiovvAFKRSGLMlEWZOO0eHHU9bInBRv5ATMuWoklKwqaS\nNGYxWngi5wnKasrweD0jHlt9ugnplZGTxPwUPQ2NF6HpyoiHOW/dovfMGcxPbYqZdDkSDycXFRBC\noLVY8HR2Ij39f2HXrFnD+fPnOXv2LCdOnGD+/PkAdHV1MXHiRC5evOfL+Y1vfIPvfve7fd9/5Stf\n4be/VXLXUlJSOHr0KFVVVbzyyivED+jSTTYm45VeOp2dLFu2bEhJDBR7fY1WYIjTsmzZMt67r7Ht\n97//PV/84hdD+yEUrICENEUaGwFbxV5kTw/JWyJr0phg0LF2RiZ7ztfjcA//ptFh7+Djux+zbuI6\nNEKlP5cLb0HWLGWDN8bkTE1BxmmY4dKyaVb0GieHQ2M0krR6FZ179+JVyTpp/aT1NPU2carx1IjH\nXTvewJicRMbkRHh1V7gFhEb5PRgB/96UZePGyI4fIg8nF5XQWiwgJR5beF5f9zNUEuVwJOoT0Wv0\ndDiG77nxerw4e93EJegH3Qk5nU62bNnClCkhvuFp9cod2dVSpRJqGKw7dqAfP574eaPvzQTL5jk5\n2OxuDl4Z3sOqoq4Ct3Sr5yXWWq0UPkTR7mUkhIArRi95bi1JKr1dWDZtwtvTQ9fB8G3wQ2HpuKUk\n6BJGlMaszb003LAxeUEIdi+jkTQWJi1XbsSGaWGQUmLbuUtxC8+K/U3AUDycXFRCxMcjDAY87e0R\nfd2BSZTDji8EFqOFLmcXrmH2Pex+B2TTYEnMYDDw8ssBJlEOx6zPKBVQw9Txu+7coefYMSxbNkdl\nmf94/hjSTEZ2nBleGttZvZN8Sz7TUqdFfPyAuPA2IJQ0TxU4VdfOMa8djYTrJwOPQI4kCQsWoMvI\nwLpbHTuYeF08T054kr11e4cN3Lt+QukHisrkAjDnBbDdhpqhI5jtFy7grKtTvbflfh5OLiohhECb\nnIK3pwevw6HKNSQbldLl4XJe7F0udHotekOUShqz50DaFDg3dJe/ddcuACybI59bAqDTatg0K4sD\nV5qw9gyeYG903OB883m2FGxRR8OWUpFCJi4GS+z3OwDePXOHzjhBSnYi145HLiY6GIRWi3nDBroO\nHcId4ZuxQFmftx6b08bhO4cHPSel5NrxBrIKLJjHRMkkcuoGxQX77O+HfNq6azfCYCBpTWABerHg\n4eSiItoU5c3d0xFebkSoGHVG4vXxdNg7BtXx94WCJUax/FMIpefl5pFBdfxSSqw7dpKwYAGGcdF7\nY906Jwenx0vpxcEWGzuqd6AVWjbmq6Rh159T+oFUksScbi97LtSzujCT6Y9k0VhjG9IpORZYNm0E\nt5vO+3qwYskj2Y+QGpfKzurBRpItt7pob+iJ/Eb+/ejjlIKOy7vA3v9mULpc2EpKMD35ZFjWSJHm\n4eQygFhaTWj8IWIdg9/cY0WyMRmHZ3CImL07xFAwHwH/e2Z+Wvl8/s1+D/eeOass8yO8kT+Q4hwL\nk9ITeXeANOb2utldvZsnxj1BWnyQYU+R4tx20BpgujpSxwfXmunocbF1To4i9wi4ekyd1Ytx+nQM\n+fmqSWN6jZ6n8p/ig1sf0NrbP4L52olGNBpBwdzAk1FDYvYLSojYAFfx7iNH8LS1PVCSGDwAk4sQ\nIlUIsVcIcd33eUhvCSGE574Uyl33PZ4nhDgmhKgSQrzhi0QOibi4OFpbW2P6Rq9LSUG6XHi7u2M2\n5v1YDBaEEP029qWU2LtcGOJ0IVlYSClpbW0NrLkyeYKSG37udUUG8mHdsUOxe4nyMl8IwZbZORyr\naeNOx71qpMN3DtPS28KWguhObsPisis/k+mbICFMj6oQ2XH2DqmJBhZPTsOUYmTc1BSuHW9Q5UZI\nCIFl0yZ6T53CdSdwZ4VIsrVgK27p5r0b9yY4r8fLteMNTJiRStwQe5MRJWcupE+DM/39/Kw7d6G1\nWDAtVslQdRgehA79bwP7pZQ/FEJ82/f9t4Y4rldKOXuIx38E/ExK+boQ4t+ALwD/O5QLGTduHLdv\n36Y5hgl4UkrcTU0Iqw1damw8mwbSYe+g0dNIe0I7Qgg8Li89NidxJj31baHtt8TFxTFu3LjADp75\nLOz6qhIkNm4+XrsdW2kpSatWojVFPzdly+wc/nnvNXadvctfLMsHYEfVDlLjUlkyTp0UP668B/YO\nmPOSKsN32l3sq2zkMwvGo9cqNxhTH8lk/39dpqHaSlZB7COezRs30vzzn9OxcyfpXw7M6yuSTEqe\nxKz0Wbxz/R1eLnwZIQR1l9rosTqZ/nh29C9ACJj9POz9e2i5DmmT8XR10bl/P5ZtWxGGkO+ro8KD\nMLlsBpb5vv4t8D5DTy6DEMou65PA8/ed/11CnFz0en1fF3ssaXj7D3S8/TaTD32olCjHmEO3D/GX\n+/+Sny/7OStyV3DwlctcO2nj8/+0GL0xBv5EhZuh5BvKnfq4+XQdOIC3s5PkrVujPzYwYUwC83JT\neOf0bb60dBIdjg7ev/0+z017Dr0mynejw3H6d8qqLm+pKsOXXKjH4fay+b7GyUmz0/lAf5WrxxpU\nmVwM43JIePQRrG//gbQvfWmQdVIs2DZ5G9858h3Ot5xnVvosKj+6S4LZQG7xmNhcwMxnYd/34Oxr\nsPK7dO7dh3Q4sGxS3+5lIKrLYsBYKaV/N7UBGK6WL04IcVIIcVQI4dcqxgAdUkp/YtVtQJ2ymjCw\nbNuGdDqVfHgVeDT7UdLi09hZvRO300PV6Wby56THZmIBiDPD1PVw8W1wO+nYsQNdVlZMXV0/PX8c\n15u6OH2znT039uD2utlaEJvJbRBtNUrJ6ZyXQIU3UIDtx28xOcPEnPH3JhFDnI682elUnWrC4xrZ\n2SFapDzzDK67d+k+PHq+UTRYM3EN8bp43r3+Ll3tDuoutDDt0Sy02hj9PyVlQsFKX8+LB+vOnUof\n2JyhRB11iclPRAixTwhxcYiPzfcfJxUxdzhBN1dKOR9llfJzIUR+CNfx574J6mQspa/RiJtRiHHK\nFDreCS3+N1x0Gh0bJ23k0O1DXDxVi7PXzdRFUax8GYpZz0FvO67jb9P90WEsTz0V0zvTjTOzMRl1\nvHb0Ju9WvcuMMTOYnDI5ZuP34+xrSkf27OdHPzYKVN61cfZWB88tnDCoBHvqI5k4etzUXmhR5dpM\nK1eiTU6m462Ru9WjRaI+kTUT11BaU8qFwzeREqY/HuOmxTkvQGc9zkNv0nP0KMnbtj4Qdi8Diclf\nr5RypZSyaIiPnUCjECILwPd5yE4tKeUd3+cbKNLZHKAVSBZC+OW9ccCwu31Syl9JKees9lBMAAAg\nAElEQVRLKeenp0c3pjUYhBAkP70N+4ULOK5fV+Uansp/Crd0c+yDqyQmG8mZGuP9n/wnITEd2/b/\nAK8Xy+bNo58TQRKNOjbPzqbk2gmutV9TbyPf41Y2bAtWKtk3KrD9+E0MOg3b5g4WAcZPS8GUYuTS\nR8EneUYCjcGAZetWOg8cwN2izgS3bfI2ely9nDtUR87UZJIzwo+BCIopayE+hfZX/g9otVi2PR3b\n8QPkQZDFdgGf9X39WWBQIbkQIkUIYfR9nQY8DlT6VjoHgU+NdP4nAfOmTaDTqbZ6mZwymdnxC3DV\nGpj6SOaoNvQRR6tDznwW6/E64osLMU6K/d7XcwsnIE0n0Aq9enYv1fuh865qG/k9Tjc7ztxhQ3EW\nyQmDN4g1Wg2Fi7O5VdmGtVmdnpfkZz4Fbjcd76rztzI7fTbz3E/gsWoojMVG/kB0RrzTn8Z64g5J\nSxejHxvlEugQeRAmlx8Cq4QQ14GVvu8RQswXQvzad8x04KQQ4hzKZPJDKWWl77lvAV8XQlSh7MH8\nJqZXHyF0qakkLV+GddcupGt0G/posLRLWS0kzFTHMcBuWoLDqsNSHPuiBoApmfHEpZxHb5+J2WBW\n5Ro4/TtITFfuTlXgvfP1dDrcPL9owrDHTH8sG6ERXDqkzurFOGkS8fPn0fH226qVRT9iXYtd241m\nkjotBJ22fDwODcnzVOrBCgDVJxcpZauUcoWUcrJPPmvzPX5SSvmnvq+PSCmLpZSzfJ9/c9/5N6SU\nC6WUBVLKZ6SU6rwzRgDL1m14Wlvp+vDDmI/t8XgRV1K4lXKFitY9MR8fwHrwJEIrMOs/VuShGHPw\n1kG8opu2xlmcvqmCa0JXE1wrUzzXdOqUlW4/fpOCDBPzc4eXRU0pRvJmpnH5SL26G/t1N+k5djzm\nY/d2OZE3TFRlnGJXnTpCSUfFMfRmDYnuj1QZPxBUn1wecg/TkifQpqWpIo3VnG3BbnOjL+5iZ/XO\nQR370cbb04N11y6SHp2J1nEXrsfe5mNH1Q4y4scS55rK9uM3Yz4+57aD1w1zwjQEDZHL9TbO3Bx6\nI38gM5ZkY+9yUX1WHTPLpDVr0JjNqmzsXz3agNcjSSx2s6tqFy5vbJUGx40aeo4fJ3nVQkT9GWi6\nHNPxA+Xh5PIAIXQ6LJufouuDD3C3to5+QgS5+MFtksbEsWnpcqwOK6U1pTEd37r7Pbw2Gylf/GtI\nyoYTsVU3G7sbOXL3CJsLnmLznPG8d/4u1t4YvmlIqUhi4x9RJbcF4HX/Rn4AoWDjp6ViTovj0ocq\nbezHxWF56ik6KypiamYppaTycD1j88xsmL+CVnsrH92O7eqh4803Qacj+c++BRqdUl34APJwcnnA\nSN62DdxurLtil7zXVt/NnWsdzHgim4XZCylILmD7le0x07OllLS/9hrG6dOJnz8f5n1W2dhuuxGT\n8QF239iNV3rZUrCF5xdOwO7yjmjFH3FufgytVTBXnVVLr9PDO2fusL4ok5TE0SU5oRHMeCKHu9c7\naLurzr5D8jPPIF0urDtjJ0013LDRXt9N4ePZfb5z71QFFkEcCbwOB9Z33yVpxQp0E6fB1HVKdaFL\nnSC1kXg4uTxgGPPziZ89m/bXtyOHCQaKNJc+vINGK5SNWiF4btpzXG67zLnmczEZv+fECRzXrpH6\nwvOKHDP3ZRBaOPmfMRnf7XXz1tW3mD92PhPMEyjKsVCcY2H78Zux2zA+/QoYkmCGOiXQ752/S6fd\nzXMLh9/IH8j0x7LQaAWXDqnj9RU3dQpxs2bS8VbsNvYrD99Fb9RSMD8DnUbHU/lPcej2IVp6Y1MW\n3VlRgcdqJeVZn+Hrwi9Cb9uoKZVq8HByeQBJffklXHU36fpg6GCgSOJyeLhytIH8uRkkmJU71o2T\nNmLSm/j9laGzIyJN+2u/R2uxYPbHs5qzYdp6OPOqYuAYZd6/9T53u+/ywvQX+h57ftEErjR0cuZW\nDDb27VbF6bb4aTBE30ttKLYfv0l+eiIL8wI3yYxPMpA/N4MrRxtwOUdPP40GKZ/+NM7qanrPnIn6\nWM5eN1UnG5k8PwNDnNJat6VgCx7pYVf1rlHOjgztr7+BfsIEEh55RHlg4mIYWwTH/r2f8euDwMPJ\n5QEkadUqdJmZtP3ud1Ef6/rJRpy9boqW3NPZE/QJbCnYwt7avTT3RNfJwNXQQOe+fVg+9TSa+12U\n539BuSOrjL7k8UrlK+SYclg+fnnfY5tmZZNo0LL9WAw29i/+Ady9qm3kX2mwcTrAjfyBFC3J9r3p\nqrOxb163Dk1iIh1vRv/O/dqJRtxOL4WL7/2t5FnymDd2Hm9efRO3N7oVjo7r1+k9dYqUTz9zz71C\nCFj0RWi8CLUPVuXYw8nlAUTo9aS88Dw9Hx/FfvVaVMe6+MEdUrMTySro31vy7NRncUs3b19/O6rj\nt7+u5IKnPPdc/yfylkJqPpyM7sb+pdZLnG46zXPTnkOrueelZjLqeGp2DrvP38Vmj+LGvpRw7FfK\n3WfO3OiNMwKvH7+FQavh6bnBOwJkFSSTkpmgmjSmSUjAvHEjtrIyPDZbVMe6fPguY3ISyZjYP5Dr\npcKXuNN1h/0390d1/PY33wK9HstAQ9fiZyA+FY79W1THD5aHk8sDSsozzyDi4mh7JXqrl8ZaG803\nOylakjPojnWiZSKP5zzOW1ffilqppdfppOPNtzAtX45hoD2/RgPzPw+3jkHDxaiMD/Ba5Wsk6BLY\nNnlwRr1/Y39nNDf2q/ZD82V49KvKXWiM6XV6eOf0bdYVB7aRPxAhBDOW5NBYo/wuqUHyM88g7fao\nFsE03LDSVNdJ4eLsQX8ry8YtY3zSeH5XGb2/Va/djnXnTsyrVqIbM8CBWR8P8/8ErpYMSnRVk4eT\nywOKNjkZy+bN2Hbtxt3WFpUxLn54B51RO6xJ5fPTnqe5tzlqd2SdZWV42tpIeWEYg8bZz4MuLmqr\nl5beFkprS9lSsIUkw+B42OJxFopyzLx2LIob+0f+P0jKgiJ1/KH2XKjHFuRG/kCmLspEp9eotnqJ\nL5pBXFER7a++ivREZ+/nTMVNjAk6pj062KRSq9HyUuFLnG8+z9mms1EZ31ZahtdmI/nZzwx9wPwv\nAAKO/5+ojB8KDyeXB5jUl15EOp1KXXuEsXe7qDrRyJSFYzHEDx3r83j244wzjWP75e0RHx+g7dXX\nMOTlkfjoo0MfkJAKM7YpEciOyN8Vv3H1DTxeD89PH959+MVFuVxp6OTj6ij0HdWfV6z1F31JlY58\nKSW/+aiGggwTi4LYyB9IXKKeggVjuXa8Eac99s4KAGO+8HmctbV07o/8jVBHYw83zjVTtDSnbyN/\nIJvzN2M2mKO2eul44w0MeXkkLFww9AGWHCUX6fQr4OiKyjUEy8PJ5QHGWFBA4uLFtL/2e6TTGdHX\nvnq0AbfL228jfyBajZb/v73zDo+ySvvwfWbSe0IIvSQEEjohFGkiSBfrpyyCoKCCAmLdta3lW8vq\nKra1IkhXQMRFutIEAYHQAilASCGBFJJJIWWSycz5/pjgopAyPX6c+7rmSjJzzvucmcz7/t5zzlMm\nRk/kSN4RknXJdrVfER+PPj6e4MmT606t3/dBqCqF+FV2tV9prGT1qdUMbT2UdgHtam13R0wrmvp7\n8umus3a1D8D+j8HDD2IfsP+xG8Cu0xdJyi5h5o0RNqds7zakFYZKI6d+zbHT6CzDf9Qo3Nu2pWDB\nQrvPMo9uO4dWq6HHsDa1tvFx92FC1AS2n9tO5qVMu9ovP3KUimPHCJ74l7r/T/0fgcpiiF9pV/vW\nosSlkRNy/1SqL16kZKv90qFIk+Tk7vM0jwigaZurl4Ou5I7IO/DSerEy2b5f2MIVX6Px8SHwjnpS\n67eKhRY9zRH7drxobErdhE6v474u99XZzstdy0ODw/klJZ/4LDu6JRdnmb3Eet8P3s6v6gjw2a6z\ntAz04vZettfXC2vvT1g7f45tO4fJ6Px8Y0Krpcn0aejj4yk/eMhuxy0vqeLU/hyiBjT/zVW/Nu6N\nvheN0LAiyb4R8wXz56MNCiLo7rvrbtimH7SMMbslOylGri6UuDRyfAcNwiMiAt2SpXa7I0s7nk9R\nbjndb6rfOyjQM5BbIm5hY+pGiiuL7WK/uqCAkk2bCLzjDrR+fnU3FsJ8R5aXCKftI7BSSpYnLadj\ncEf6Ne9Xb/tJ/dvi7+XGZ/acvRz43CyWNzxiv2NawOEMHQfTdDw0JAIPN9svA0IIYse2pyRfzxkX\nuSUH3nEH2iZNKFiwoP7GDSR+ZyZGo4mYEfXvSYX5hDEufBxrz6y127miT06mdNcugqdOQeNbTwyU\nEND/Ucg/Dak77WLfFpS4NHKERkPIlPvQnzxpl0AxKSWHNqURGOZNZGzD6kDcG30veqOe78/YJ6Fm\n0bdrkAYDwfdNrr8xmF0tg9rC7n/ZZfZyKMdcEGxK5ykNWg7y93Jn6oB2bEnI4exFO6xn64shbrE5\nGj/I+o10W/hs11mCfdyZ2K/2pR5LCe8RSkhLXw5vTkeanB/Qp/HyImTKfZTt2YM+2fZl3Cp9NSd/\nPk9Ez6YENWtYQbApXaZQUV3Bd2e+s9k+QMH8L9H4+BAyuYHnStc7wDesUbglK3H5ExB4++1oAgLQ\nLbF9szD9RAH5maX0GdseTQPrfkeFRNE7rDffJH9js1uyqaqKwpUr8R04AM+IiIZ10rrDkKfh/GFz\nzjEbWZa0jGDPYMZFjGtwn2mDwvHQavjiZzvMXo4shapLZvdjF3Aq5xLbkvJ4YGA4Ph7X3qC2BqER\n9BnbnsKcclKPuaaMePC996Lx8aFg4Vc2HytpbzaV5dXEjGr4DUB0SDT9m/dnRdIKDEbbzpWq9HRK\ntmwheNK9aAMbWOPIzdO8T3nmRyhwwD6hBShx+ROg8fEheMI9XPrpJwznrXf3lFIStzGNgFAvOvZr\nZlHf6d2mc6HsAutSbIuYL1qzhuqcHEKmP2hZx56TIKA1/Gzb7OVcyTl+zvyZCVET8NR6NrhfqJ8n\nf+nbhu+Pnie72IYkgUYD/PoZtB/isqDJz38+i4+HlvsH1u7IYC0dYsMIDPMmbnO6Swp5aQMDCZow\ngZJNm6jKsv5cMRlNHN+eSYvIQJpHWFa8bmrXqeSV57E1w7Zl3IKFCxFuboTcf3/9ja+kz3TQuJv3\nXlyIy8VFCBEihPhJCHGm5udVVYqEEMOEEMeueOiFEHfUvLZYCJF2xWu9nP8uHE/wpEkgBLqvrc/3\ndS5RR17GJWLHtEfbwFnLZW5sfSM9QnvwRfwXVBmt81wz6fUUfPY53rGx+A4aaFlnNw8Y/IQ5qDLN\n+mJqXyd/jVaj5S9Rf7G478NDIjBJWLgnzWr7JHwPJedh4GPWH8MGMnXl/HD8ApP6tb1mGWNb0WgE\nsWPakZ9ZSsZJ55aNuEzI/VPN58rixVYfI+VIHpd0emJGWr5sObjVYMIDw1maYP0+qSEnh6L/rCPo\n7rtxa9rUss5+Yea4qaPLodQ1M0hoBOICPAdsl1J2BLbX/P07pJQ7pZS9pJS9gOFAOfDjFU3+evl1\nKaVjophcjHvLlgSMHkXRylVWBVVenrX4hXgSdcO1gybrQgjB7F6zySnLYc1p61LCFK5cSfXFizSd\nO9c619eYKeDXHHa/Y5X9/Ip81p5Zy9j2Y2nqY+EJC7QJ8eG2ni35+uA5CsusEFgpzUGToVEQOdLy\n/nbgyz2paAQ8OCTcYTY69W+OX4inee/FBbMX9xYtCBw/3jxLtqLWi5SSoz+eI7i5D+27W15GWCM0\nTO0ylSRdEnG5cRb3B9AtWgRS0uTB6Vb158ZnoFoPe+ZZ198ONAZxuR1YUvP7EqC+nON3A5ullOUO\nHVUdGF3gagkQOns2pooK8j+3fLMu61QhOaklxI5uh9ZK76ABLQfQO6w3C04ssLhSpamsjIIvF+Az\n4AZ8+9fvoXVN3L3Ms5f0PZCxz+Lunx//HIPRwMyeM62zDzwytAPlVUaW7s+wvHPaz5BzAgbOMae3\ncTL5pZWsOpTJnTGtaBHo7TA7Wq2G2NHtyEkt4fxpF5SLBpo89CBSr6dwueVuwVnJheRnltJrZFuE\nxrr4n/ER4wnxCmFxwmKL+1brdBSu/pbA8eNxb2Wlm3hoR3OGi7iFUOSCqqo0DnFpJqXMrvk9B6hv\nM2Ai8MeQ8TeEEPFCiPeFELUupAshZggh4oQQcRcvWjdd3LE0iR+/TLCqr614duhA0P/cReE3K6nK\nyrKob9zGdHyDPOk8sKXV9oUQzImZw8WKi6w6ZVlQo27F1xgLCmg6d67V9gFzXIhvU/PeiwWcKznH\nd6e/4386/U+dQZP1EdXcnxGdw1i8L43yKguj0fd+aPbk6T7Bavu2sGhvGlVGEzOHdnC4reiBLfAJ\n9CBuU7rDbV0Lz8hI/IYNo3DFCkzllt2HHv0xA58AD6L6WT7Dv4yXmxeToiexO2s3R/Ms8/LULVuG\n1Otp8vBDVtsH4KbnAAG73rbtOFbiFHERQmwTQpy8xuN3EXTSPIeudR4thGgBdAeu3Cl7HogG+gIh\nwLO19ZdSzpdS9pFS9mlq6TpmDQGh3qQeu0jWKeeVVr2S0DlzEBoNFz/6qMF9zp8u5MKZImJGtUXr\nbtu/vG/zvvRv0Z+vTn5FuaFhJ62xtBTdwoX43jgEn5gYm+zj4QMD55r9+DMbHiz376P/xl3rziM9\nbY8refSmDhSWG1h50IJI7LM7zI+Bj5lnYE7mkt7A0v0ZjOnanA5N64ktsgNu7lpiRrbl/KlCclLt\nE/NhKU0eehBjURFF3zW8UmReRgmZSYX0GN7a5nNlSpcphHmH8e6hdxu8PGgsLaVw+Qr8R47Es4ON\nNwGBraHfw3D8a8izb4aNhuAUcZFSjpBSdrvGYx2QWyMal8WjrgisCcD3UsrffPyklNnSTCWwCLBy\nzaVh9BrRBr8QT/auOYPJBb787s2aETJ1CiXrNzTYlz9uUzreAR50HWz9rOVK5vSag06va3AxMd2S\nJRiLi2n6mI2zlsv0mW5OMb67YbOXhPwEtqRvYWqXqYR6W76G/kdi24XQr30IX+5Jpaq6AUukxmrY\n+iIEtzfX3nABKw6c45K+mkdvcvys5TJdh7TCy9eduM3pTrN5JT6xsXjHxFCwYEGDZi9SSn5ZfQZv\nf3e6DbW8/MBV9t19mBMzh/j8eLamN8xzrPCbbzBdukSTGTNstg/A4KfA3Rd2vm6f41lAY1gW+wG4\n7Gt3P1CXr+u9/GFJ7AphEpj3axyXnx1w89Ay4M4O5GeWkrw/u/4ODqDJQw+hCQgg77336m2bfbaY\nrORCYka2xc1DW2/7htArrBdDWg1hccJiSqvqDio0FhWhW7QYvxE34929m13s4+ln3rc48yNcqHvJ\nQUrJ+4ffJ9gzmAe6PmAf+8CsYR3ILtazdH96/Y2PLjVnGBj5D3McgpMpLKvii5/PMqRjKD1aOy/V\njLunlp43tyHjRIHL0vGH/fUZqnNzyZ8/v962KXF5ZJ8t5obbO+BZSzJXS7mtw210Cu7EB0c+qNfL\n0lRRgW7xEnwHD8a7W1e72Me3iXm2nLQesg7b55gNpDGIy1vASCHEGWBEzd8IIfoIIX7L4yCEaA+0\nAf5Y+3eFEOIEcAIIBRwu0R37NKNZeAAH1qW6JAusNjCQ0BkPU7Z7D2UHDtbZNm5TGl5+7nUmqLSG\n2TGzKa4sZlnSsjrbFSxajKm0lKaP2dn1tu/D4BUEP9ftObb/wn4O5BxgRo8Z+HnYbzloaKemDO3U\nlA+2nSGvpA7nBn0x7HgD2g2CzrfZzb4lvPPjKUr01bwwrrPTbXcf1hoPbzcObbTBfdsGfHr3JuDW\nW9Et/Iqqc7VvbBuqjOxbm0JoGz+iB16dVt9atBotz/R5hvOl5/k6qe6Zfv78+RgLCgid9ajd7AMw\nYBb4hML2/7XvcevB5eIipSyQUt4spexYs3ymq3k+Tkr50BXt0qWUraSUpj/0Hy6l7F6zzHaflNLh\n+aaFEAy+pyPlJVUc2WqF15AdCJ48GbfmzcmbN6/W9dwLZ4o4l6AjZmRb3D3tM2u5TNcmXRneZjjL\nEpbVmkepWqdDt2wZ/mPH4BUVZVf7eAXADbPg1MZa915M0sQHRz6glV8rJkTZdxNdCMGrt3WlqtrE\nPzfXsTy5Zx6UF8DoN1xSDCw+q4hvDp5j6oB2dG4R4HT7nt5u9B7dlrTj+aSfyHe6fYCwZ54Bd3dy\n36p9Y/vo1gxKCysZMqETGis9xGpjQMsBDG41mPnx8ynSX9t7rjI1jYIFCwm8/TZ8ets5uNbT3+ya\nnPYznHVezjGXi8ufleYRgXTs24xj2zK5pLPMLdceaLy8aPrYHPTx8Vz68aerXjcaTOxakYx/iBfd\nhtp31nKZWb1mcclwiSUJS675esGChUi9nqZzHJTmZMAsCGgF6+dC9dVLDlvStpCkS2JOzBw8tPYP\nGAwP9WXGjRF8f/Q8B1KvETCoSzNH4/e815yt1smYTJKX1iXQxNeTJ0d2crr9y/Qa0ZbgFr7s/uY0\nhkrHFPOqC/dmYYQ++gilO3ZQumfPVa9f0uk58uM5IvuE0bKjY5YNn459mrLqMj6PvzqMQEpJzj/+\ngcbbm7C//tUh9ukzHQLbmGcvToo9UuJiAwPuNG+O7v/eNTl8Am+/HY/IDlx8/31k9e+X5+K2pFOY\nU87QyVG1FjiylaiQKEa3H83ypOXkluX+7jXDhQsUrlhB4K3jbfd6qQ1Pf7hlnnk/Y9+Hv7dvNPDR\n0Y+ICo5iXHjDc4hZyuxhkbQK8ubldQkY/hj/tO0V0LjBzS87zH5drI7L5HhmES+MiybAy90lYwDQ\numm4aXIUl3R6Dm1wzfJYyP3349GuHblvvHlVbaR9a1MAGHhXpMPsRwZHclfHu1iVvIqMkt+vdpRs\n2Ej5r78S9uQTuIXa7nByTdw8za7JF45C0g+OsfEHlLjYgH+IF71GtOHMoVxy0pzvbinc3Ah76imq\n0tN/525ZcKGUI1sy6NSvGe26NqnjCLYzN2YuUkpe2f/Kb8tz0mTiwosvglZLqL08xGojaix0vdMc\n95J/5renV59ezfnS8zwR+wQa4bivubeHlpdv7cKp3Eu/D6zM2AeJ62DQExBgvzX8hlJUXsXbW5Lp\n2z6YO2McM3O1hJaRQXQZ1IJj2zPJz3J+pUSNhwfNXnieqvR0dMuW//b8hTNFpMTl0XtUW/xDHOsi\nPrvXbDy0Hrx/+P3fnjOWlJD79tt4de9O0AQHxz/1mGjODrHjdbMHo4NR4mIjvUe3wyfAg73fnnFJ\nqgu/YcPw7t2bix//G2NJCSaTZOeyZDy83Bh8T0eH228b0JYnY59k7/m9rDljTgtT+PU3lO//lWbP\nPotHaydc2Ma8De7esP5xMJkorixmfvx8+jXvx6CWgxxuflSXZubN/Z9Omzf3TSbY8rx5yc5FOcTe\n2WrexP/H7d1srjJpLwbcFYmXrxu7ViS7JCW/39Ch+N10E/mffIIhLw+TSbJn9Wn8gj2JGW3/JJ5/\nJNQ7lOndprP93HYO55o9ty5+8CFGnY7mr76C0Np3X/QqtG4w/O/miP2ceMfaQomLzXh4udH/9ghy\nUktIcUGRJCEEzZ5/DmNhEdkvvczJn7PITSth8D2RePs7py77xOiJ9G/Rn3cOvUNGwq/kvfsuvjcO\nIWjCPU6xj38zGPU6ZOxFHlnCy3tfpqSqhGf6POOUC+vlzf3Ky5v78Ssh+xiMeNUc9Olk4rOK+NqF\nm/i14eXrzqC7O5KbVkLCHuszFttCs+efQxoMXJz3Hsn7s8nPLGXgXZG428lNvz6mdp1KmI85sLL8\nRDyF33xD8KRJeHe1k+txfXS+FR6Pd0pGbiUudiB6QAtC2/ixb20K+jLbajhYg3f37jR9fC4Xdx1g\n/5pTtOkSQqf+1qeusBSN0PDawNdwkxrOPP0YwtODFq+97tw75pgp0H4IK/e+wY7MHTzZ+0k6N3Ge\n6+3lzf2dR5Op2vqquTxzt3rK0jqAxrKJXxud+jWjdXQw+78/S1lxpdPte7RrR8i0aRRs2Mr+Nado\n0SGQyD4NK5pnD7zdvHmi9xMkXDzBiWcfQxvahKaPO3jp+EqEMN+MOQElLnZAoxEMnRRFeUkVP32V\n6JLI/ZDp0znb/1FMVQYGDPBw+lJIC78WvJV5A63SSzkz7SbcmznvhAVACJJvfJx3Ar24URPAlC5T\nnGsfmD00nPk+n0JFAdVj3nFJcsrGsolfG0IIht4bhbFa8su3Z+rv4ACazHiYMz3uR19uYtCd7Z1+\nroyPGM/TWd0ISM2jeMadaP39nWrfWShxsRPNwwMZ8pdOnEsocIlHzNmj+eRqWhOZt5OS//0bpgob\nClpZgf7UKZp+vZ2UmDBe8fmJ1KJUp9ovN5Tz1+MfEezmy2tpiYhTm5xqH8B7zxv0Mx3n74ZpfJTk\n+PxdfySjoIy3GtEmfm0ENfMhdmw7UuLyXFLz5fi+ArIDexCevhHTkg+cvldqzM+n/w9nSYn04Um3\n77hQesGp9p2FEhc70nVISzoPakHcpnSnlnnVlxnYs+o0Tdv60/+Z26hKOUvum/90mn1ZVcWFZ59D\nGxhE/3kL8fHw5YVfXqDa5LzsBW8ceIOMkgzeGvYBIU27wManzdHxzuLkWtj7ATJ2OqZeU/hoRwpr\nDluWudoWCsuqeGCROZj0X3f3bDSb+LXRe1Q7gpv7sOvrZMpLrCs+Zw3pJ/LZ//1ZOvQOI3ZMW4q+\nXYNu0WKn2TeVl5M5Zw5UGej2zw8xShNP7XrK6gJ81mA0OSfWSImLHRFCcOPEToS182fb4kR02WUO\nt2moMrL58xPoy6oZNiWagCGDafLwwxR9+y0lmzc73D7AxU8+pTI5mRb/+AdhLSN56YaXSChIYMGJ\nBfV3tgPrz67nh7M/MLPnTPq2GgC3fQSlubBqChicMIPLTYB1s6FNf8TYt3nzzk97F6YAABHASURB\nVO4MimzCc9/FszfF8VHpeoORh5fGcb6ogi+n9iE81NfhNm1F667h5ge6oC818MNHx6gsd/xepS67\njJ8WJhDa2o+b7+9M2ONz8R89mrx33uHSjh0Oty8NBrKefBL9iZO0mvcu4d0H8/rg10koSODtg85J\nix+XE8fd6+/mfKnjHSqUuNgZN3ctY2Z2x81dw+bPT1BZ4bi792qDkc2fxXMhpYgR0zrTtI157bbp\n3Mfw7tmT7Jdetrjui6WU7dtHwZdfEnjXXfgPHwbAqPajGBs+li+Of8GhnIanxbeG9OJ0Xvv1NWKb\nxTKzR03G4VaxcMdn5nLIq6deM3rfbpTrYOUk8AyACUvBzQMPNw2f3RdLh6Z+PLLsMKdyHJe00WSS\nPP3tceIyCpl3T0/6tg9xmC1706x9AGMf6U5hdhkbP4nHUOW4O2p9mYFNn8ajddcw7tEeuHtqERoN\nLd/6J15du3L+mb+iT0pymH0pJdkvvUzZz7tp/sor+I8YAcDNbW9mWrdprD69mh/OOja4MS4njlnb\nZ2GURjw0jvckVeLiAPxDvBgzoxslFyvYtijRIT79xmoTW+efJDOpkOFTOtOp73+9w4S7Oy3nvQtC\ncP6pp6+KSLYXl7ZtI3PmI3h2iKDZ87+vTv1i/xdpE9CGR7c9ys+Zf8w1ah8qjZX8bfff8NB68NaQ\nt3DTXJGJoOdEGP++OXPymmmOCRozGWHtw1B8Hv6yDPz/+z8I8HJn0bS++HhqmbboILl1Jbe0gbe3\nJLMxPpvnx0Zza0/7lFRwJm27NGHk9K5kpxaz5YsTGBtSwsBCTEYTW788ySWdnrGP9PhdsKTG25vW\nn36CNiCAzEdnYchzTDjBxfc/oPg//yF0zhyC//L7YMm5MXPp27wvr+1/jVO6Uw6xf1lYmvs2Z+Go\nhVaV+bYUJS4OomXHYAbeHUl6fL7d61mYjCZ+WphA+okCht7bic7XyOLq0bo1LV57DX18PBnTplOd\nb9/lmaLv1pI193E8u3Sm3bJlV3m8BHoGsmTMEiKDInl85+OsP7vervYvll/kwa0PkqRL4vVBr9Pc\n9xqu132mmQMskzfA9zPNYmBPdr4BKdtg3DvQ5uoyQi2DvPnqgb4UVxiYtugQpZX2Fbhlv2bwxe5U\n7ruhLTNujLDrsZ1JZGwYN02K4lyCjm2L7e9tufe7FLKSCxk6KYoWHQKvet09LIw2n32KsaSErNlz\n7O4Mo1u2nIL58wmaMIHQ2bOuet1N48a/bvwX/h7+PLXrKXR6nV3tu0JYAPN07Xp8xMbGSkdjMpnk\nT18lyI8f2S73f58iqw1Gm49pNJrk1gUn5cczt8ujP2XU275440aZ1LOXPH3TMFl+8qTN9qWUMn/h\nVzIxKlpmTJsujaWldbYtrSqV07dMl90Wd5PLE5fbxX58Xrwcvmq47Lu8r9yatrX+Dnvek/KVACm/\nnyWl0fb/gTRUSvnjy+Zjrnus3uY7k3NlxPMb5dSFB6Sh2g72pZTbEnNk+HMb5LRFB+12TFdzeEu6\n/HjmdrlzeZI0mUw2H89kMskjP2bIj2dul3tWna63fcm2bTIxurPMnPu4NFVX22xfSimLN22SidGd\n5bnZs+s95pHcI7L30t5y+Krh8mD2QbvYP5R9SPZd3lfe+v2t8mL5RbscE4iTDbjGuvwi76qHM8RF\nSikNldVy25JE+fHM7XLVGwelLrvui3FdmIwmub3mWHGb0xrcryIhQZ6+aZhM6tlLFm3YYL19k0nm\nvjtPJkZFy8zHn5DGysoG9dNX6+Xc7XNlt8Xd5CdHP7HpwrEuZZ3svbS3HL1mtEwuSG54xx1vmsVg\n/ZNS2nLhyk2U8rNBNcIyR0qDvkHdvj6QIds9axaDcwVlVps3VBvl0n1pMvrvm+X4j/bIUr3B6mM1\nRvatPSM/nrld7lubYtP3pCivXH7/3hH58cztcuOnx6WxgQKcv2ChTIyKlql33yMrEhOttm8ymWTx\n5i0yqVt3mTZ5sjRWVDSoX2J+orxl7S2yx5Ie8tOjn8pqo/Ui5whhkfJPJC7APUACYAL61NFuDHAK\nSAGeu+L5cOBAzfOrAI+G2HWWuFwm5UiuXPDUbvn5nJ0yfmemxSdOTlqx3PDxMfnxzO3y13VnLbZv\nyM+XaZMmy8SoaJn77jyL78xM1dXywt9fkolR0fLCSy9b3N9gNMgX97wouy3uJt/89U1pNFl2t20w\nGuTbB9+W3RZ3k9O3TJe6Cp1F/aXJJOXWv5tF4euJUmYdtqy/0Sjl/k+l/EdTKd+OkDJpo2X9pZSL\nfkmV0X/fLDu+uEnO25osyyotE4Z9Kfly9Ps/y3bPbpATv9gvc0sadsH6M2EymeSOZUny45nb5eo3\nD8r0k/kWnSsmo0ke33FOfv7YTvnF47vkyd1ZlvU3mWTR+g3y1MBBMrFLV5nzz7fqnZ3/kfLjx2X6\n5PtkYlS0PHvHnbK6qMii/qVVpfK53c/Jbou7yWlbpsncslyL+lcZq+QPKT84RFikbLi4CHNb1yGE\n6IxZWL4AnpFSxl2jjRY4DYwEsoBDwL1SykQhxGpgrZRypRDic+C4lPKz+uz26dNHxsVdZcqhlBVX\nsmNJEucSdbTt2oThU6PxDay97K2UkswkHUe2ZnD+VBGePm70HtOOmJFtrYpjkFVV5LzxJkWrVuE3\ndCjNnn8O93bt6jxWVVYWJRs2UrxhPVUpZ2kyYwZNn3zCKvsmaWJe3DyWJi4lMiiSWyJuYWz4WFr5\n1R7wJ6UkoySDNw68wa/ZvzIpehLP9H0Gd40V0edSwi/vwS8fQmUxRNwEg5+E8KF1F/IquQD/mQWp\nO6HTGLjt3+BnXQaC7OIK/rkpmR+OX6BFoBcvjOvM+B4t6vw8zxdV8ObGJDaeyKZVkDd/v6UzY7o1\nb/SxLNZiMkmS92cTtzGdSzo9zSMC6XdbOK2jgut8z0W55exYlkR2SjFtu4Zw0+RoqzMdG4uLyZv3\nHkWrV+PWogXNX3rpN2/I2qjKyCDv/Q+4tGUL2pAQQufMJvieexDuln9XpZSsO7uONw+8iZfWizeH\nvMngVoPr7JNfkc+a02tYfWo1FysuEhUcxecjPyfU275p/IUQh6WUfept52pxuYwQYhe1i8sA4FUp\n5eiav5+veekt4CLQXEpZ/cd2deEKcQHzl+bErvPsW5uCu6eWdt2a4B/i9dvDL8QT3yBPMk4UcOTH\nDPIzS/EN9KDniLZ0HdLSLrVZCleuJOf1N6C6Gm1oKD69e+PTJxbv3rF4RUdhLCqiZPMWSjZsoOL4\ncQC8e/cm+N6JBN56q83vf33qetacXsPRvKMAxITFMC58HKPaj8Lfw5/kgmSO5B3hWN4xjuQdQafX\n4a5x56UbXuLOjnfa/P7Rl8DhRbD/E3M8TMsYs8h0GA4l2VCcCcVZ/32c2gTGKhj9JsQ+YJeKkgfT\ndLz6QwKJ2SX0Cw/h4SEReLpd7V9zOKOQL3ab6wU9OjSSmUMj8HJ3TpJFV2OsNpG0L5u4TemUFVXS\nsmMQfceH4x/iSUWpAX2pAX2Z+WeprpKTe87j5q5h8D0dibrBPuJbfuQIOa+8SuWZM/iPHIHfTcPQ\neHshvL3ReHuj8fICd3eK135P4apVCHd3mkybRsj06Wj9bI83Si1K5Zndz3Cm8Axdm3QlIjCCiKAI\nwgPCCQ8Mp01AG07rTrMiaQVb0rdgMBkY1GoQk6MnM6jVIIeUm/j/Ji53A2NkTdljIcQUoD/wKvCr\nlDKy5vk2wGYpZbf67LlKXC6jyy5j75oUdBdKKSuq5Fr/hqBmPsSMaktUv+Zo3e37JanKzKRs334q\njhymPO4whvPmoCqNjw8mvTltvGdUFAHjbyFw3DjcW9k/nUjWpSy2pG9hY+pGUopS0AotHloPKqrN\n3jqt/VoTExZDTLMYBrQYQGv/1vYdgEFvzmC890PQXSNdjdCAf0to1hXG/BOa2LfomdEkWXUok3e2\nJlNYRxDhLT1a8MK4zrQK8rar/T8L1QYjib9c4PDmjFqj+YVGEN4jlBsndsI3qPbVAGuQBgMFixeT\n/8mnSH0tLuVaLUF3303o7Fm4h9k3r56+Ws9XJ7/iaN5R0orTyC3/b2E+rdBilEZ83Hy4I/IOJkZP\nJDww3K72/0ijEhchxDbgWml6X5RSrqtpswsHi4sQYgYwA6Bt27axGRkZ12rmdIxGE2VFlZTq9Fwq\n0HNJV0lIS1/Ce4Qi7FzPuzYMOTmUHz5MxZGjaAL8CRw3Ds+Ojq8Hc5nThafZnLaZiuoKs6CExRDm\n46Tklyaj2V254Ky5FGxga/PDv4W5BoaDuaQ3cDr32oGWgd4eRIY5P09ZY6S6ysjZI3lIzOn7vfzc\nzT993fH0dnP4uWIqK8NYVISpogJThR5TRTlSr8dUXoFX52g82jm+JgxAmaGM9OJ0UotTSStOo6lP\nU26NuBU/D+d8TxqVuDSE62VZTKFQKP7MNFRc/ixBlIeAjkKIcCGEBzAR+KHGc2EncLlwxv3AOheN\nUaFQKBQ1uFxchBB3CiGygAHARiHE1prnWwohNgFIKauBOcBWIAlYLaVMqDnEs8BTQogUoAmw0Nnv\nQaFQKBS/p9EsizkbtSymUCgUlvP/bVlMoVAoFH8ilLgoFAqFwu4ocVEoFAqF3VHiolAoFAq7o8RF\noVAoFHbnuvUWE0JcBKwN0Q8FHF8cvXFzvX8G1/v7B/UZXK/vv52Ust6KY9etuNiCECKuIa54/5+5\n3j+D6/39g/oMrvf3Xx9qWUyhUCgUdkeJi0KhUCjsjhIX65jv6gE0Aq73z+B6f/+gPoPr/f3Xidpz\nUSgUCoXdUTMXhUKhUNgdJS4WIoQYI4Q4JYRIEUI85+rxOBMhRBshxE4hRKIQIkEI8birx+QqhBBa\nIcRRIcQGV4/F2QghgoQQa4QQyUKIpJo6StcVQogna86Bk0KIb4QQXq4eU2NDiYsFCCG0wCfAWKAL\ncK8QootrR+VUqoGnpZRdgBuA2dfZ+7+SxzGXf7ge+RDYIqWMBnpynX0OQohWwFygT03VWy3mGlOK\nK1DiYhn9gBQpZaqUsgpYCdzu4jE5DSlltpTySM3vlzBfVFq5dlTORwjRGrgFWODqsTgbIUQgcCM1\ndZOklFVSyiLXjsoluAHeQgg3wAe44OLxNDqUuFhGKyDzir+zuA4vrgBCiPZADHDAtSNxCR8AfwNM\nrh6ICwjHXFp8Uc2y4AIhhK+rB+VMpJTngXeBc0A2UCyl/NG1o2p8KHFRWIwQwg/4DnhCSlni6vE4\nEyHEeCBPSnnY1WNxEW5Ab+AzKWUMUAZcb3uPwZhXLMKBloCvEOI+146q8aHExTLOA22u+Lt1zXPX\nDUIId8zCskJKudbV43EBg4DbhBDpmJdFhwshlrt2SE4lC8iSUl6esa7BLDbXEyOANCnlRSmlAVgL\nDHTxmBodSlws4xDQUQgRLoTwwLyJ94OLx+Q0hBAC81p7kpTyPVePxxVIKZ+XUraWUrbH/P/fIaW8\nbu5apZQ5QKYQIqrmqZuBRBcOyRWcA24QQvjUnBM3c505NTQEN1cP4M+ElLJaCDEH2IrZQ+QrKWWC\ni4flTAYBU4ATQohjNc+9IKXc5MIxKZzPY8CKmhusVGCai8fjVKSUB4QQa4AjmD0oj6Ki9a9CRegr\nFAqFwu6oZTGFQqFQ2B0lLgqFQqGwO0pcFAqFQmF3lLgoFAqFwu4ocVEoFAqF3VHiolAoFAq7o8RF\noVAoFHZHiYtC0UioqRHzYU2dkBNCiAhXj0mhsBYlLgpF4+F5IFVK2RX4CJjl4vEoFFaj0r8oFI2A\nmrT1d0opY2ueSsNcM0ah+FOixEWhaByMANpckbMtBNjmwvEoFDahlsUUisZBL+BlKWUvKWUv4Efg\nWD19FIpGixIXhaJxEAyUA9SUzh0FrHfpiBQKG1DiolA0Dk4DN9T8/iSwUUqZ5sLxKBQ2oVLuKxSN\ngJrSuZuBUGA/MENKWeHaUSkU1qPERaFQKBR2Ry2LKRQKhcLuKHFRKBQKhd1R4qJQKBQKu6PERaFQ\nKBR2R4mLQqFQKOyOEheFQqFQ2B0lLgqFQqGwO0pcFAqFQmF3/g/MyDhGCg7CvwAAAABJRU5ErkJg\ngg==\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10d2620f0>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"x = np.linspace(0, 3 * np.pi)\n", | |
"\n", | |
"plt.figure()\n", | |
"for i in range(5):\n", | |
" y = np.sin(x + i)\n", | |
" plt.plot(x, y, label=r'$\\sin{{(\\theta + {})}}$'.format(i))\n", | |
"plt.legend()\n", | |
"plt.xlabel(r'$\\theta$')\n", | |
"plt.ylabel(r'$\\sin{(\\theta + \\alpha)}$')\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 47, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"[ 3.65064239 7.88081942 9.50324412 6.3443387 6.98323785 9.26359788\n", | |
" 6.35151335 7.52341738 5.0896095 3.82035153]\n" | |
] | |
}, | |
{ | |
"data": { | |
"image/png": 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MvSR1ztBLUucMvSR1ztBLUucMvSR1ztBLUuf+D1rkYP+GK7hGAAAAAElFTkSuQmCC\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10cfaeef0>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"numeros = np.random.uniform(1, 10, size=10000)\n", | |
"\n", | |
"print(numeros[:10])\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.hist(numeros, 20)\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 48, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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JJoD3At/vt5PX6i6v7AEOA7uqarn1+PcM/iB+dTE7L8evgvgu8LuzbLoR+DSDyz+9OlaP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\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10bbc8c88>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"numeros = np.random.normal(0, 1, size=10000)\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.hist(numeros)\n", | |
"plt.show()\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 51, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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| |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10d38cd68>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"numeros_chi = np.random.chisquare(3, size=10000)\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.hist(numeros_chi, 50)\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Ajustes" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 57, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"from scipy.stats import linregress" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 70, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
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TYKBbazcCLfJ5/SegrTeKkjLsl82eCUL74+GaW6Hnq1CpltNViZQKmikqvsGV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\n0EVE/IQCXUTETyjQRUT8xP8DfVGJP2a3QKoAAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10c616d68>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"x = np.linspace(1, 10, 20)\n", | |
"y = 5.3 * x + 3.8\n", | |
"y += np.random.normal(0, 0.5, size=y.shape)\n", | |
"\n", | |
"m, b, r, p, *otros = linregress(x, y)\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.plot(x, y, 'o', label='datos')\n", | |
"plt.plot(x, m * x + b, label=f'$y = {m:.3f}x{b:+.3f}$')\n", | |
"plt.legend()\n", | |
"plt.grid()\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 77, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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INBdnn+yWw2TfL6lCBi9ZxpJi8fKoyW4F0clBcy2WDDgWBY17g+R391pNK7rE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\nPP4Ppitp4TaGbL0AAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10d138748>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"x = np.linspace(1, 10, 20)\n", | |
"y = 5.3 * x ** 3.8\n", | |
"y += np.random.normal(0, 0.5, size=y.shape)\n", | |
"\n", | |
"X = np.log(x)\n", | |
"Y = np.log(y)\n", | |
"\n", | |
"m, b, *otros = linregress(X, Y)\n", | |
"\n", | |
"exponente = m\n", | |
"pre_exp = np.exp(b)\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.subplot(121)\n", | |
"plt.plot(x, y, 'o', label='datos')\n", | |
"plt.plot(x, pre_exp * x ** exponente, label='ajuste original')\n", | |
"plt.legend()\n", | |
"plt.grid()\n", | |
"\n", | |
"plt.subplot(122)\n", | |
"plt.plot(X, Y, 'o', label='datos linealizados')\n", | |
"plt.plot(X, m * X + b, label='ajuste lineal')\n", | |
"plt.legend()\n", | |
"plt.grid()\n", | |
"\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 94, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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A3cslBhbJjxT6wqhYB0L6GH1XX79gdhohhK0Sfzd6qWz6FJSuYnYau5NCX1it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\nSUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10e03e4a8>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"x = np.linspace(-10, 10, 20)\n", | |
"coeficientes = [1, 0, -1]\n", | |
"y = np.polyval(coeficientes, x)\n", | |
"y += np.random.normal(0, 0.5, size=y.shape)\n", | |
"\n", | |
"x_otro = np.linspace(-15, 15, 2000)\n", | |
"\n", | |
"coefs = np.polyfit(x, y,2)\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.plot(x, y, 'o', label='datos')\n", | |
"plt.plot(x_otro, np.polyval(coefs, x_otro), label='ajuste: {}'.format(coefs))\n", | |
"plt.legend()\n", | |
"plt.show()\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 96, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"from scipy.optimize import curve_fit" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 103, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"[ 1.00132807e+00 -5.65930919e-03 -1.01563955e+00 5.02064234e+01\n", | |
" 5.80701116e-04 -9.99348543e-01]\n" | |
] | |
}, | |
{ | |
"data": { | |
"image/png": 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f5w02OE143T4/cl42FTk65Q70SilTKZWrlPow/HkrpdTXSql1SqmpSqmU8jcz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\n9EEQBANOOPogCIIBJxx9EATBgPMfgGcjP4ZdECQAAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10d63a780>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"x = np.linspace(-10, 10, 200)\n", | |
"coeficientes = [1, 0, -1]\n", | |
"y = 50 * np.exp(-(x**2)) + np.polyval(coeficientes, x)\n", | |
"y += np.random.normal(0, 0.5, size=y.shape)\n", | |
"\n", | |
"def objetivo(x, a, b, c, amp, mu, sigma):\n", | |
" return a * x ** 2 + b * x + c + amp * np.exp(-(x - mu)**2/sigma**2)\n", | |
"\n", | |
"popt, pcov = curve_fit(objetivo, x, y)\n", | |
"\n", | |
"print(popt)\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.plot(x, y, 'o', label='datos')\n", | |
"plt.plot(x, objetivo(x, *popt), label='ajuste')\n", | |
"plt.legend()\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Dudas" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Ajustes multi pico, no dan" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 114, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"[ 9.99763655e+00 -1.37402943e-04 1.00035135e+00 9.93074085e-01\n", | |
" -5.00426275e+00 1.00433785e+00]\n" | |
] | |
}, | |
{ | |
"data": { | |
"image/png": 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Hcqx9G2DD89D3VDhtJlisR918Tv452JSNlXtXUtinMEJBip5CEnowNdXCG3fA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\n/8t5AAAAAABJRU5ErkJggg==\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10cae0be0>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"def gausiana(x, amp, mu, sigma):\n", | |
" return amp * np.exp(-(x - mu)**2/sigma**2)\n", | |
"\n", | |
"x = np.linspace(-10, 10)\n", | |
"y = gausiana(x, 10, 0, 1) + gausiana(x, 1, -5, 1)\n", | |
"y += np.random.normal(0, 0.01, size=y.shape)\n", | |
"\n", | |
"def objetivo(x, a, b, c, d, e, f):\n", | |
" return gausiana(x, a, b, c) + gausiana(x, d, e, f)\n", | |
"\n", | |
"p0 = (1, 1, 1, 1, -7, 1)\n", | |
"\n", | |
"popt, pcov = curve_fit(objetivo, x, y, p0=p0)\n", | |
"print(popt)\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.plot(x, y, 'o', label='datos')\n", | |
"plt.plot(x, objetivo(x, *p0), label='partida')\n", | |
"plt.plot(x, objetivo(x, *popt), label='ajuste')\n", | |
"plt.legend()\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 126, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"[ 9.99616904e-01 -4.99676288e+00 1.00283543e+00 1.00016793e+01\n", | |
" 3.77478346e-04 1.00005557e+00 1.49972586e+01 4.99992738e+00\n", | |
" 1.00029131e+00]\n" | |
] | |
}, | |
{ | |
"data": { | |
"image/png": 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4bpErYT/DWDGcgL4HOFkIkSqEEMBZwJboNEtRoqc92E6Lv4UJmROG9P4JmRPY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\n0C0Wi6VGsA7dYrFYagTr0C0Wi6VG+D8dkY2oZPdYnAAAAABJRU5ErkJggg==\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10d18ef28>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"def gausiana(x, amp, mu, sigma):\n", | |
" return amp * np.exp(-(x - mu)**2/sigma**2)\n", | |
"\n", | |
"x = np.linspace(-10, 10, 200)\n", | |
"y = gausiana(x, 10, 0, 1) + gausiana(x, 1, -5, 1) + gausiana(x, 15, 5, 1)\n", | |
"y += np.random.normal(0, 0.01, size=y.shape)\n", | |
"\n", | |
"def objetivo(x, *params):\n", | |
" y = np.zeros_like(x)\n", | |
" for i in range(len(params) // 3):\n", | |
" y += gausiana(x, *params[i * 3:i * 3 + 3])\n", | |
" return y\n", | |
"\n", | |
"p0 = (\n", | |
" 2, -5, 1,\n", | |
" 5, 0, 1,\n", | |
" 14, 5, 1\n", | |
")\n", | |
"\n", | |
"popt, pcov = curve_fit(objetivo, x, y, p0=p0)\n", | |
"print(popt)\n", | |
"\n", | |
"plt.figure()\n", | |
"plt.plot(x, y, 'o', label='datos')\n", | |
"plt.plot(x, objetivo(x, *p0), label='partida')\n", | |
"plt.plot(x, objetivo(x, *popt), label='ajuste')\n", | |
"plt.legend()\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.6.0" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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