From 413507a23c3b5d9aa4abcf17a001bc3c4c15514d Mon Sep 17 00:00:00 2001 From: Victor Khaustov <3192677+vi3itor@users.noreply.github.com> Date: Wed, 18 May 2022 18:25:08 +0900 Subject: [PATCH] Fix image metadata --- math_linear_algebra.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/math_linear_algebra.ipynb b/math_linear_algebra.ipynb index 7f18d23..0d937e0 100644 --- a/math_linear_algebra.ipynb +++ b/math_linear_algebra.ipynb @@ -479,7 +479,7 @@ "data": { "image/png": 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luu/hh1m65hoNsmTLdPUqtdJw5XpxkPXEE4GTSFrl83lKpVLoGJJyDVeuGmTJTrk7Fy5cCB1DUq6xylWDLKmR6elp3TFLdqShylWDLKmlqamp0BEkxRqqXDXIklpxd6ampvRaW7JtDVOuGmRJrbk78/PzoWNISjVMuWqQJbWmwZbsRNVyNbNrzOwFMztlZq+b2YP1CLYlGmRJTBYWFnQ7QtmWlgiPKQJ/7e4vm9lu4KSZPefuv4s5W2QaZElcKmuvIltV9crV3c+5+8vl92eAU8DVcQfbCg2yJE4zMzOhI0gK2VamoWZ2HfAicJO7T6/52lHgKEBPT8+t/f39NYy5SaaFBVrffJPF3l5ob1/3MYVCgY6OjrrkiUJ5qktapoWFBXbv3h06xkX5fJ5cLhc6xkVZzXPkyJGT7n54va9FWRYAwMxywI+Ar6wtVgB3PwYcA+jt7fVDhw5tM+7WXPvpT9MyMsLb5d0C6xkcHKReeaJQnuqSlumtt96ir68vdIyLBgYGlGcTScgTabeAmbWyUqxPufuP4420BRpkSZ24u16pQLYkym4BAx4HTrn7N+OPFJ0GWVJPWnuVrYhy5XobcB9wu5m9Un77w5hzRaJBltRTPp/XiS2JrOqaq7v/Akhce+lEltSbu1MoFOjs7AwdRVIgtSe0dCJL6s3dmZ6+bJYrsq50lqsGWRLI3NycbkUokaSyXDXIkpDm5uZCR5AUSGW5apAloWhpQKJKXblqkCWhFQoFvcaWVJW6ctUgS0IzM2ZnZ0PHkIRLV7lqkCUJ4O7k8/nQMSThUlWuGmRJUhQKBe0akE2lqlw1yJKkMDO9BIxsKjXlqkGWJImWBqSa1JSrBlmSNHNzc7rXgGwoHeWqQZYklG5DKBtJRblqkCVJ5O7akiUbSkW5apAlSaV1V9lI4stVgyxJsuXlZb30tqwr8eWqQZYknbZkyXqSXa4aZEnCubvukiXrSnS5apAlaVAoFLQlSy6T6HLVIEvSwN0pFouhY0jCJLZcNciSNNG6q6yV2HLVIEvSQuuusp5klqsGWZIyWneVtRJZrhpkSdpo3VXWSmS5apAlaaR1V1ktceWqQZakkburXOUSiStXDbIkrXSHLFktWeWqQZakWLFY1Eu/yEVVy9XMvmNmo2b2WtxhNMiSNDMzFhcXQ8eQhIhy5fo94K6YcwAaZEn6qVylomq5uvuLwGTcQTTIkrTTUEtWS8yaqwZZ0gg01JIKi3KqxMyuA55195s2ecxR4ChAT0/Prf39/dFTuNP22muU9u+n1NMT/fsiKhQKdHR01PzP3S7lqS5pmbaSp62tLeY0K6+AkMvlYv85UWU1z5EjR066++H1vtZSqx/i7seAYwC9vb1+6NChyN+791vfYt/DD/P24GAs662Dg4NsJU/clKe6pGWKmsfMOHDgQOz/YxgYGKCvry/Wn7EVynO5RCwLaJAljURDLYFoW7GeBv4TuNHMhszsT2sZQIMsaSTurnIVIMKygLvfE2cADbKk0ahcBUIvC+hEljQgvRqsQOBy1YksaUSlUkn3dpWw5apBljQiM9O9XSVcuWqQJY1MSwMSrFw1yJJG5e4qVwlUrhpkSYPTMVgJUq4aZEmj03YsCVKuGmRJoyuVSqEjSGB1L1cNsiQL9IoEUvdy1SBLssDdVbAZV99y1SBLMsLMtDSQcXUtVw2yJCt0kEDqWq4aZElWuLuuXDOubuWqQZZkicpV6lauGmRJ1uiUVrbVp1w1yJIM0pprttWlXDXIkizSskC21aVcNciSLNI+12yLvVw1yJKs0g2zsy32ctUgS7JKV67ZFm+5apAlGaYr12yLtVw1yJIsU7lmW6zlqkGWZJ0KNrtiK1cNskS07pplsZWrBlmSdWamcs2w2MpVgywRLQtkWSzlauVjfxpkSdapXLMrnivXpSUNsiTzTM//TItUrmZ2l5n9j5kNmtnfRfkeDbIk69xdV64ZVrVczawZeBT4HPBh4B4z+3C179MgS0SyLMqV68eBQXd/290XgR8Af7Tpd7S21iCaSLppWSDbWiI85mrgzKqPh4BPrH2QmR0FKhOshQ9+8IOv7TxezVwJjIcOsYryVJe0TMqzuazm2fBX9Cjlut7/fi9bSHL3Y8AxADP7tbsfjhwvZsqzuaTlgeRlUp7NKc/loiwLDAHXrPr4IDAcTxwRkcYQpVxfAj5kZtebWRvwReDf4o0lIpJuVZcF3L1oZn8B/DvQDHzH3V+v8m3HahGuhpRnc0nLA8nLpDybU541TPvwRERqr24vrS0ikiUqVxGRGNS0XLdzTDZOZvYdMxs1s0TsuTWza8zsBTM7ZWavm9mDgfN0mNmvzOy35TxfD5mnwsyazew3ZvZsArK8Y2avmtkrZvbr0HkAzGyvmR03szfKz6VPBcxyY/nvpvI2bWZfCZWnnOkvy8/n18zsaTPrCJKjVmuu5WOybwJ/wMr2rZeAe9z9dzX5AdvL9BkgDzzp7jeFyrEqzwHggLu/bGa7gZPAH4f6O7KVI0S73D1vZq3AL4AH3f2/QuRZleuvgMNAt7vfHTjLO8Bhd0/MBnkzewL4D3d/rLyDp8vdLwSOVemAs8An3P3dQBmuZuV5/GF3nzezHwI/cffv1TtLLa9ct35MNmbu/iIwGTLDau5+zt1fLr8/A5xi5QRcqDzu7vnyh63lt6ATTjM7CHweeCxkjqQys27gM8DjAO6+mIRiLbsDeCtUsa7SAnSaWQvQRaB9+bUs1/WOyQYrjqQzs+uAjwG/DJyj2cxeAUaB59w9aB7gYeCrQFJu4e/AT83sZPmId2g3AGPAd8tLJ4+Z2a7Qocq+CDwdMoC7nwX+GTgNnAOm3P2nIbLUslwjHZMVMLMc8CPgK+4+HTKLu5fc/WZWTt593MyCLZ+Y2d3AqLufDJVhHbe5+y2s3BXuz8tLTSG1ALcA/+LuHwNmgSTMN9qALwD/GjjHFaz8xnw9cBWwy8zuDZGlluWqY7IRlNc2fwQ85e4/Dp2novyr5QBwV8AYtwFfKK9z/gC43cz6A+bB3YfL/xwFnmFl+SukIWBo1W8Yx1kp29A+B7zs7iOBc/w+8L/uPubuS8CPgU+HCFLLctUx2SrKA6THgVPu/s0E5Okxs73l9ztZeWK+ESqPuz/k7gfd/TpWnj/Pu3uQqw4AM9tVHjxS/tX7TiDozhN3fw84Y2Y3lj91BxBsaLzKPQReEig7DXzSzLrK/73dwcpso+6i3BUrkm0ek42VmT0N9AFXmtkQ8A/u/njASLcB9wGvltc5Af7e3X8SKM8B4InylLcJ+KG7B9/+lCDvB54p35e1Bfi+u58IGwmAB4CnyhcxbwP3hwxjZl2s7BL6s5A5ANz9l2Z2HHgZKAK/IdBRWB1/FRGJgU5oiYjEQOUqIhIDlauISAxUriIiMVC5iojEQOUqIhIDlauISAz+D/IrBQWdSj4rAAAAAElFTkSuQmCC\n", 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\n", 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