{"cells": [{"cell_type": "markdown", "id": "c78fc4b5", "metadata": {}, "source": ["# Image and Images\n", "\n", "This notebook illustrates images functionalies."]}, {"cell_type": "code", "execution_count": 1, "id": "c874333d", "metadata": {}, "outputs": [{"data": {"text/html": ["<div id=\"my_id_menu_nb\">run previous cell, wait for 2 seconds</div>\n", "<script>\n", "function repeat_indent_string(n){\n", "    var a = \"\" ;\n", "    for ( ; n > 0 ; --n)\n", "        a += \"    \";\n", "    return a;\n", "}\n", "// look up into all sections and builds an automated menu //\n", "var update_menu_string = function(begin, lfirst, llast, sformat, send, keep_item, begin_format, end_format) {\n", "    var anchors = document.getElementsByClassName(\"section\");\n", "    if (anchors.length == 0) {\n", "        anchors = document.getElementsByClassName(\"text_cell_render rendered_html\");\n", "    }\n", "    var i,t;\n", "    var text_menu = begin;\n", "    var text_memo = \"<pre>\\nlength:\" + anchors.length + \"\\n\";\n", "    var ind = \"\";\n", "    var memo_level = 1;\n", "    var href;\n", "    var tags = [];\n", "    var main_item = 0;\n", "    var format_open = 0;\n", "    for (i = 0; i <= llast; i++)\n", "        tags.push(\"h\" + i);\n", "\n", "    for (i = 0; i < anchors.length; i++) {\n", "        text_memo += \"**\" + anchors[i].id + \"--\\n\";\n", "\n", "        var child = null;\n", "        for(t = 0; t < tags.length; t++) {\n", "            var r = anchors[i].getElementsByTagName(tags[t]);\n", "            if (r.length > 0) {\n", "child = r[0];\n", "break;\n", "            }\n", "        }\n", "        if (child == null) {\n", "            text_memo += \"null\\n\";\n", "            continue;\n", "        }\n", "        if (anchors[i].hasAttribute(\"id\")) {\n", "            // when converted in RST\n", "            href = anchors[i].id;\n", "            text_memo += \"#1-\" + href;\n", "            // passer \u00e0 child suivant (le chercher)\n", "        }\n", "        else if (child.hasAttribute(\"id\")) {\n", "            // in a notebook\n", "            href = child.id;\n", "            text_memo += \"#2-\" + href;\n", "        }\n", "        else {\n", "            text_memo += \"#3-\" + \"*\" + \"\\n\";\n", "            continue;\n", "        }\n", "        var title = child.textContent;\n", "        var level = parseInt(child.tagName.substring(1,2));\n", "\n", "        text_memo += \"--\" + level + \"?\" + lfirst + \"--\" + title + \"\\n\";\n", "\n", "        if ((level < lfirst) || (level > llast)) {\n", "            continue ;\n", "        }\n", "        if (title.endsWith('\u00b6')) {\n", "            title = title.substring(0,title.length-1).replace(\"<\", \"&lt;\")\n", "         .replace(\">\", \"&gt;\").replace(\"&\", \"&amp;\");\n", "        }\n", "        if (title.length == 0) {\n", "            continue;\n", "        }\n", "\n", "        while (level < memo_level) {\n", "            text_menu += end_format + \"</ul>\\n\";\n", "            format_open -= 1;\n", "            memo_level -= 1;\n", "        }\n", "        if (level == lfirst) {\n", "            main_item += 1;\n", "        }\n", "        if (keep_item != -1 && main_item != keep_item + 1) {\n", "            // alert(main_item + \" - \" + level + \" - \" + keep_item);\n", "            continue;\n", "        }\n", "        while (level > memo_level) {\n", "            text_menu += \"<ul>\\n\";\n", "            memo_level += 1;\n", "        }\n", "        text_menu += repeat_indent_string(level-2);\n", "        text_menu += begin_format + sformat.replace(\"__HREF__\", href).replace(\"__TITLE__\", title);\n", "        format_open += 1;\n", "    }\n", "    while (1 < memo_level) {\n", "        text_menu += end_format + \"</ul>\\n\";\n", "        memo_level -= 1;\n", "        format_open -= 1;\n", "    }\n", "    text_menu += send;\n", "    //text_menu += \"\\n\" + text_memo;\n", "\n", "    while (format_open > 0) {\n", "        text_menu += end_format;\n", "        format_open -= 1;\n", "    }\n", "    return text_menu;\n", "};\n", "var update_menu = function() {\n", "    var sbegin = \"\";\n", "    var sformat = '<a href=\"#__HREF__\">__TITLE__</a>';\n", "    var send = \"\";\n", "    var begin_format = '<li>';\n", "    var end_format = '</li>';\n", "    var keep_item = -1;\n", "    var text_menu = update_menu_string(sbegin, 2, 4, sformat, send, keep_item,\n", "       begin_format, end_format);\n", "    var menu = document.getElementById(\"my_id_menu_nb\");\n", "    menu.innerHTML=text_menu;\n", "};\n", "window.setTimeout(update_menu,2000);\n", "            </script>"], "text/plain": ["<IPython.core.display.HTML object>"]}, "execution_count": 2, "metadata": {}, "output_type": "execute_result"}], "source": ["from jyquickhelper import add_notebook_menu\n", "add_notebook_menu()"]}, {"cell_type": "markdown", "id": "34265e69", "metadata": {}, "source": ["## One local image"]}, {"cell_type": "code", "execution_count": 2, "id": "e8aced3a", "metadata": {}, "outputs": [{"data": {"image/png": "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", "text/plain": ["<IPython.core.display.Image object>"]}, "execution_count": 3, "metadata": {}, "output_type": "execute_result"}], "source": ["from pyquickhelper.helpgen import NbImage\n", "NbImage(\"nbimage.png\")"]}, {"cell_type": "markdown", "id": "161e88e0", "metadata": {}, "source": ["## One remote image"]}, {"cell_type": "code", "execution_count": 3, "id": "cf4b6c13", "metadata": {}, "outputs": [{"data": {"image/png": "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", "text/plain": ["<IPython.core.display.Image object>"]}, "execution_count": 4, "metadata": {}, "output_type": "execute_result"}], "source": ["from IPython.display import Image\n", "Image('https://github.com/sdpython/pyquickhelper/raw/master/_doc/sphinxdoc/source/_static/project_ico.png')"]}, {"cell_type": "code", "execution_count": 4, "id": "487a052c", "metadata": {}, "outputs": [{"data": {"image/png": "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", "text/plain": ["<IPython.core.display.Image object>"]}, "execution_count": 5, "metadata": {}, "output_type": "execute_result"}], "source": ["NbImage('https://github.com/sdpython/pyquickhelper/raw/master/_doc/sphinxdoc/source/_static/project_ico.png')"]}, {"cell_type": "markdown", "id": "bb58b0cf", "metadata": {}, "source": ["## Multiple local images"]}, {"cell_type": "code", "execution_count": 5, "id": "8495849c", "metadata": {}, "outputs": [{"data": {"image/png": 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FlkAtLXGZglWRJEUBzVXq1oAo/oF2iRLNU+z0UrufQxEJB2C6pptEVmTCddVjinaroLtLy9ymaLUrVJRl5lWZKMsSvXBJq0UWwVNa4lQNIILF7mdXqK4b69atGzhwYGV/Fwj5kirZJOREtlqBc87B4h906mlsnHOrX4j19GvOZWtgcPlSHACASopFAs45ENFilzhnIFkDgq1n1hZOb/NvS3LTBMURoDjObPzGHzNCt4IqGVjn3BZzXnicnyQX5so570+9vNTyf1/yYjfiGHihEKGrVEX7sCqdIAhJSUmVXQqEfEwVrWFVOkJIYGCgy+Wq7IIg5EswsCpNXl4etgoRuioYWJXDNM21a9dGRERUdkEQ8iUYWJWDc+7n59elS5fKLghCvgQ73SsNjm5A6GphYFUiAkwrLnF6jPJBEqarrMB9+edwm578Yydd2PGFqioMrMpDRfAc/XrUS+OXp3KAktSlb458cW02u9wqpVvHv/DR2pOXXQahWxf2YZ2Dg6gogijIVCAUNLfTozNBttmtEgFueF0uFRS7QgwuWWRiaB6NKVaLQLjmdnoMTohotVslSkzD63Zp/B8n6mM62Os+N6zBqzPX5nSsfeSvqfb27/aMvexPSFDHMb92rLgDRsjHYGCdQUSrtn/hn2mpWSuP7ssrov3//f5DrUIPLfl43M+biklIu8dee6mbMG/sbL1J0Kqf5uqtBjzdLXzqd98ccQX1//d7DzQNAu++L58bvybXW6fto/8Z0dXfpV1JRci/+cO3r3z/g3deOS40+ejNWAA4OPf10VMP6v7xd418uem+bzaFDL23cy3RkzFlxrpqSXXd/90YPvy5pNDCJRM+/W7lAWu1weMm3l04f976bdvW50YN/+LJZgreWY1uWdgkPIMIEitKTX79uw2Ne95/V3Th+LF/HBUhrOFtDzz+2MB2ti2fTEsh7NDiySM/29fnibsc2z+/9+MVre947s6o/PFj5+XZCv94bcLhkM5PPjgg0LVm/rYyi3SF321gjye7abN3tbzrP7E2AIDIxLufeOqJHjFlSz5LJkHShAUbdYDSQ+v2pm6zB4qbpy3KMDy7p3+7YKtyz1NPDYzeMnF9Tv6umd//VdJ3aI+Yyn4UEELXFdawzsG5yYO7d+/cv38va52cxQ9sTC/m1Y5s+WDsD3n5xdbw270miEr8A08+3KdfpLhrXXFG3ba9elhiMpc8uDXzeLu9absWrN66MVlQbbUe6VBGqe3KdupZ9u1kpUvEnxN/eXzy46HgVXeveOXdqZ7C0ppJjW1d7x3y7merinsEpJdG1x7WKUxapFgtuvvYoV3zl25ft3cemEKz2seJEN6mU4+enev4XedvCKHKhT/I5+FAZVFgpqlzECXZUbRhxJidD01cvHLGmMQA0+QAIFitogE6J5JVFEzD1DmIBLhEqVpz6Hsztm/fuW/tnH93rF52ZbP0ubfOmHiw/UOjXnuYzvzxz3xwr3jojZwv121b/s0rjawuN0Q9MpJ8887sXbsO1ujWFEBlACAAU/273Pfhpi1btm3f+P1dzcq8IFLAi4foloc1rHMQMDVVVXUOhDPd6/RoUmjN2nmz3nt5heA6WRYGhGtuj6pzgAuWdHnkuDseinp27P/9a3ktyS/itruH9a4X4DUu14tFBUU7tm30t4t63Te2VURczIPDnnx/5LLYx+rWO/TF8OFS3jHVry1wCEkaQEc8v+qeD76LJwCGt8zp4oHt7mg97aWvH3xqdQ2HreHd99dimlc3cFgXuuVVyQn8Lo5Q0cxPO5Tn9Y9rGEVdWQd2FEd2bCqkrV25PUMPimtU0z+iQUzhpv1mbIP4cKng0KETZ5csimjTrKalcNPiVSn5LrAEN27ToUmEVTcv+TUahrF+w6Y+7RusO3iifuO2YTYArXTHnq222A7hx9cm7zphCY1vGBtaMy7WTrwHNqwqiuzYNsoGUJKy8pBf61aRNjNrx5p1KTkmyBFtOjfj+blmSJ16YdKN/MIQuuEwsM5DRUmkTNdMIIKkCIZXA0lRJAGYaTJmaAZVZDA0w+BUumBJ1SSiYpFFQoAzXVM183IDGwwDZxxF6Kphk/A8zNC18lfc1Mo7oXTVc87oc6aqAADk70sSwk3N49FOL/mPw7BwqgaErhZ2ulcOQkhcXFxllwIhH4M1rMohCEJCQoLH46nsgiDkSzCwKo3L5aqyfYUIXRsMrMrBGFu2bJkkXd1lPVmWBUHAehmqsjCwKgdjTJblQYMGXdVau3fvLi4u7tWr13UqFUI3Oex0rzSnnw59FYYPH965c2dsSKIqCwPrhqGSRRauOqPOY7VaRRErxajqwsC6MSiwXZ8MHrn8JD1vPgXONKNo2ZQ/D5zI1w3TMJzr5izdeShTM0zDcO/4a/XGLalewzQN9eCOzVs2pOoyxX8wVJVVyZ9rTkSLTBgTJIlyU1NVnYEoWxWRAGflb2WLVaLATV1VdapYZYFwZugGJ8AMwwRBlERiqBojkiJyr84kWZZFAQB01a0ZRFQkgVKBMNWjE0lWJJlr3pyU9Gj97IBSIspwfNv706fu3+Bosvcr0uzV8JJZs1eHJIWOndF6VDvvbxPWhnVVVsxo9+pA8ueYDdV7w9aclE2CZKnEbw6hylUFA4sIkufI+l08VD6wfkdpSK1OnTpG2ln6xhmrUt1icEy7Du1qB/NDy6ety/T41WzQsVOivnH20tQia/XYhBh/YgmOiY7UC9IzDnqj2jb0V3M2pZA2TUKz965ate2ITi2t+t3XONh5dFfKycKctPyArkNak0Prl204ZG1gEUWZntMk5IYO4c0eb5P+9oZJ2f5vfHBfkrFf3b/mwz3K0x/f18Zxwpqy/s2Nwp0f3JEUI8QM3TJysdDNKxYRWFd5Xx1ClawKBpYg2YuWfvjKDN6wawOasv/33ZnWN59p5ynMOn6y9NCiZUdybSP6Frzxw8L6tcJtEJaUs+GdH+eFBIX6qX7x2uZP9gaOGz7Mveqrf38rvjXty7ZpP41b2W6ysunrUVNyajap4dqwcAP9eFKPbT+O+XqX0KLnfQ0zls55c2JqjeZ1MrI2a2rb8zraCYBewOPf+mpW2cYdTjA0vdrjo6fRtBSPrhOv0mv4d/e5stxeVRXMhnd9NijM03/BN7n/PPUyQresKhhYAJyIin9swsA33h94Yu7YT5b/ebikc6PomnunbTyRluatnVtSVpR5pGTAyMmPt/YzUn48ui+7/rsfvd4nAnIWfLloZ1ZugfdwekBCm8M7thkb0tt2uytl1dJsW9+Pv3k+ujhl1CP3/3W0d4hsje963/uj+6f8OiozZMiEb58KTPsx9dffz7/AxwBsTTu0BAAY1B0AoGlzAID46gAAsY3DAQBqAgBAUFInAICQ+jEs48CN+6IQuslUzT5czpmtbkKsBUAHjRuE5C7+93Obbx89+oX7+8T6u1ndhxdOGeX5uU+HYW9sdQydM/Pr2LWPtxn42DIz6Q7H4TUpS9YXDHq6Q7wl7depxxv3rB9kqoLiCBAANBIcXsM0NM65IzTQqno9qinaqodbAUi1iHDhf51tnRlXNCkgQreqqhlYlAq5axYlL1v8+x8Ljtpi+sUp2XtsunA8MzXlyLEiIM68Ayed8S36NapmFJzMOpybF9x4QFJNyCy2desTvHTs5OMdB/Zq4Xdy29pjUS1rhYRENQnh6cm/zVq9bOb4ZRkPd21seFxer1c3BEtEpL9z1cRJv61e9OPPiwqKzX+exAEhdElVskkIjENsPeuRyZO3BNdp8/SDHfyC6r7Tc/33k2dHxLQd1LWeJXfrj9/+t0zzTxz0bIdqR94a9X1WManX9pHejai92h2Du4W2aBsoBjep3WTwEy1qSlyM7/T4E3nfTZo+frVY56mJT8ZrZXntO/GQcKKxqCb3Pvxk4eQZ44/16vvaQ85YG2M46hOha1UFJ/ATLf5Zkwa8UThs9Fv3NCSG7nG7dE4Vm8MiAmOmrmmaSR12CwFuaB63Rhx2KyVgGl63S+VUttkl3e3WGLXYLERXvbrBgcoWq1UWAUyv06WaRLZaBKarms6AKhabRRaYppkiNVxunQNc6wR+vXv3Xr58uaZp1zBKHqFbQNWsYQHn3NQ8pS4XNQwAQoBr7jLtnAXKSs++c5adznRCgOtupw4ABJjqdp/91OvWvWeW4rq3fNY/QoBrXpfmhb+7hl8Fzvkt/VuC0D+ogoFlqGVhQ7/9gslWWqlzflqt1qtdZdasWbquY/UKVVlVsEkIAEAogcqurDgcjqstAaUUABi7kkdKo2t3q/7/L0mSYRg31dGV3xt75dOFV8EaFgAAvwm6vsvKyiq7COgiKKWyLN9i1VjOuSAIq1evbt68uSzLlV2cs9LT0z0eT3x8/BV+4VU0sG4Gt9gpcWvgnIuiSAhxOp230j+QIAhZWVnz5s1r2bKl2+2+GSpZlFKv15ucnBwfHx8fH+9yua5kLQwshC6kaZqu67Is3wwndoWglB4/fpwxxjn3eDwWi+VmODRVVfPy8ho0aKBpGmPsSn4hMLAQuhAhRBAEURRvhrO6QpQfTnkiUEpvhkMrL4YgCHD6C6dXMHlS1RzpjhDySRhYCCGfgYGF0A1DBFGkV9OVT6ggCFe1xg1w1UdRgTCwELoxRNGS9tXgZ35NdV9ZBBHJauyfN+HdV6blUJt4s4SWQGDnB72fSz5OxMoID+x0R+iyOFBZsSoSAdA8ZTqXLVZFIMB1r9NriIosUCoJAiGged2qwQkQyWJTRMJNw+v1GCDZbBaBcFM3TaIV5560aOf0dlPJZlMoANNVj6pxIik2WeDc1DVVY4SA5iouzBdNIEAlm1WhwHXVq2qGaHFYJALc9Hq8IFmp6dEMxolkU6im6kyQbBaZANM8Hs38nzvXiWixWUQC3DS8Xo1xtehYnssAUbYolHs8akUOauREsirE0DSdUUmWRK55Tckmg84lRQJTw8BC6HJEm6UkZfXUhZsLuJQ05Lkmwp55ycsySoWgpNsfbxeatnVLSXHh1vQ0p+no2P+elmEiWEjq/EnJKSWOmvV79h5Qx3541pdz0zxyvVb9+twmCQIl58zqL6lp076en2XQqMSe/ZOaEOeBtbP2ZDE9pFHbjk1rEtAJoZQSIKKo7pn6VXIOC2zRvXeHZuEHFn+RvNsrhdXr16+9se13Z91BTSIUiztz7vJjjdq2qO7ZMWXGmiIS2ePu3g1r2Lnxv9waIVrIiYWTZ+8rVANjm/Xv26e6AFQQFRvN37X0t+16v0Fdwh2CWTGhRUXZlbJkjTsqoWndwPyDW9NyrAmdaxz5bQetrWxZuo02bI9NQoQuiUpi8YFFE76atOeEQZnJOAcAQVQUOWPmqxN3qfqRhROe+r/v0ws9OUu+f238Kpdd2DdrzEeztmu6aRggWk8u/uDrvzKNAPPk+nXLtx8zz3nQGxXE7N9ff2HWHkM2s+Z9On762ix36ZbPn3/jz1S3RMk5M6dRKmbNeXPC5hJLkOfwolXr04q4KIiOQHbgz5m/ztldmDL/jfkpFou9cMe06UvXniw9OOPtHw/yoKCCzf9dubdUI/9DfxOVrCUrx7/23eJs4GWbZ34z8b+by6giSqIra920bybuK7ZUaMOQyraS1RO+mbvxGLGRzI3zpnz7V6GU9+uI4S99uVqFY/M++xxrWAhdCpWgbNf85elw29jPnophpserKqWW4+k7k7emZh8KTHNCkOio06bbiDf+Besdw0esyyiM+33CgYbvjHutRx1mcFKy/MM//lxpjzxi8x5lcY371xHPnN9UJPm75yQHPbz19SFh4upxd01L2dk90hIU0+rOF//VJ8RV4jG5eGpJoWDfzN//3B+ffpgWpFo9ffr2bW3nC+YuLUjLcSXc+8Qzj0cPWXZ4RJ2UvUrfrrfV1Xe+PGOB1v5Yijdz+9GY5/smBtivNbGoKLkPL5jt7fb5iy92jDrw+6jPNyZnOwfwsmNTxr/X9fZPv7i3BfOUGRXXJuScyDarIlHgIMgWq1WmHCz+0V3vfOTlQfFJyj0YWAhdEgFT10GS7RKAaXKFn5j+2Q8HLbd/Mz3ipwc/psBMZomsFshMXVNswdQ0dE3TbeEO0WAGN4lgGjo0fXLc20PrVSPU5h90cKxqOs5s3TQZdSiSASBabLIMwDm1yP4WwfBoJpwz7JsbBrG2f2niB32CLURx2E7MfviFoy8v+Vmf/Pkq4uF+PYYOmvHle3PCmd6yUSPZtdE/5vbnf36nlQAgKzYFGOfXPjk3M02wKTLnAKLFYlE8wDmwI8cL2h1XNRkMLxCACuzEokB0ECQrUYihegAIABGsEdFhAB6nU8XAQuhSmE4Cm/ZqMv+jWRPH08YRSkKLpl6L69jJw9uXpWw5WNoIwFQ9bq/GOOGG6na5vI4mtw/jYz79JmBgE3tIVNuO9XskFU+aOCdqSD1uCU/sQE2PVy+vjzCThzXo0uzTaR/O0pvmLlpSvc3LTR3KGneZWz/T40TA1FWvy8PCGnRumjHt87kBvSJ0/7gkmysvuChj1YoDG/fnNUqkoqVeh2Zb7p/a4/9eSayvCHkNm4T9MmVistHC4Q2ud1uLeOWa44qZhl9s5/YFM779rVq6367kjKCOD8dUc6o08aV3Xiye896rk/799F2tQmxiBc0mYOp6WLN2NHnt3F/lXVsXbzhMh1BCmZG+ZOaM8JTCeRvDsQ8LoUsyNRaWeOfwB/s5965YtHxFqlqj35A72gmHluzzG/ry3XUUKaZDzx5d6iqGZgtt0ueh7qE6b/302CfqaKv/Wr5hx96TpZFDP/74nqi8ZUuXLV+/41hRUJcn725eXeYcAEzTqP3YhI8bFv81f3l6wqNDByVGWS11ez/eJ0rSy6/smRqt0bhjr0HNHHr0Y19/0kNJXbhk2fKNu4vjB79/e9Dm5XvtbQfe06eObJiBtbo+8XzPFq2bB3i9oqPdiIlv1C7ctGDxsuW7MjQGcO13cZuaJ3Tw6I96VktfvHSz3KbPQ/e3tLpDuzwxoHmjxGH3PSwd251VVoETtHFDFRLveimpWv6KtVuldvePHNjcxlWB1q5lS09ecaj20Nur6HxYCF0U51yWZcaYx+NRFIVzDpyIFqtVEQmA6irViGKzKQIzdAa6xwOyIoKhqjpQ2WIVNJfHANHqZ5MJ4abudrsNkB0Oq0AAmOFxq8SqgPecoQZUdjgsFMBQPR5VAypbbKLmcpvlT5/kIMiKJHLNozKqlC8JTHe5VcFiPzWjt6ppus6pZLNamOry6JwQoKLFbpMJABhqmUflHCRJ2rx58/z580eNGuV0Om0221Wc40S0OWwiAWaobreXgWhxKIbLzUSLTaGq26NfU/WKUlpaWvrdd9916NChdevWhmFQSgE4p7Kf3UoJcNPQGHBzw+vNxzX8Y9bjDRVT82KTEKHLItxQ3WXqmfeqq/TsG1C9BgAAAaZ7XDoAIWB6y8rOTpcNuqvsbJ0AXO7zNs4059nJuAkw3ePU4cwFQgKmrpqnZuQ+d0kwz5vRmwAz3C4nnK5LMcNbVnqxabmvDTfcZaVn9wWm1+kGANC9Tv3Sa10jQph+dlJyEEWZirLIVKerTDUYDhxFCN28DENLeGX5d0SSygeTYWAhhG5mRFRkON2AxcBC6ELlUzXdDJNGVRRJks7MNnWTHBqlVDj9LPTyF1cyH9Z1D6xbaZ5ZVBWIopibm7tr166bau7z/xEhpKysTBAEwzA2btxY/uiHSsc5L4+tgwcP5uTknMmvy7i+VwkNw7jy52EgVOlEUczIyPjll19M07yVfmvLH0JhGIbD4XC73f+8wg1BCDlzWfYKn193HQNLFMXVq1erqipJ0v++NYRuGM55+blU2QWpYISQK5w6/Ya52u/5+tYMGWO9evW6hieGIoTQ3133ke7YJEQIVRS8NQch5DNuusAyPUUnTp5UzcouB0Lo5nMDAuvqevjoiS2//zk/x3n2E1fGySt5prtR4Cxyav+83MWUHTlxRY+dRQhVqus8HIMQytQ9879dVFDvwfv7mRsmfLvG2em+l7r5p/w4ba5/VIM927apENiu/9D+bSMp0/ctmjhtU1lUq17Bp7rpnbsX/jbmtSnelvUahQb6RTe+54Gh8X5/3415bPv8d0f+lO6wJjSoZfMPHfDoi4lhAObRGR//sqvYQ6y1hj48LCHaBgBaQc6syRP2lHAppm5izTYDBkRtmT197FtTecem9QMcQbUT773vjmjb9f1WEELX5jrXsDiAINkFLW37on2FIAfW9MtbNWNHEch2v/zVrzz3XUF0fLwlb0HyH3tOciDEHhIZA4dnL0w+UlS+vuAIiYisEREZUys+Pr5WzTDrxQOWKH6hNSMiIyKj4+Lj42Ki/WUAgK2Tf9mmBTVq1KiBPeeTjz7bm+ECo3jlH19t1OIaNWrkXDnq1YkrAET/0Jo1q0dE1oqNj4+Pjgi1XPtcZwih6+t6D3jlnCpxbQd2z5llGlCtyeDHB+95vUgH/7jendusCus17skO1tItRVM3nSxjECrWanPHk9WEQzPTTo/MsMa17tWvZbb64IC+MdUvvRcaUqf9oO7O/TVC7unV6tRn2r5Z02fPKZbWOyTwFu4/XC3xgUcTYkIjI62Hvvp+m4M6c1uNWHg3gLVeh359m2VIjw3rEXKRyhtC6OZxA0boc1A9TtUMVQDAvT81V4q2AgBnvHrtGCsAmMRq87PKpys2BIgoW+1n13d5Sg2VA4D7ROYxIyCuZsBFq4Vud5nb6w8AUHYs5bhUp449qnHfnx55tn3LiDPLMN2o0fzp2TvfshBwrxiVNG7Jw98/AABOT6lFBQAozcnIF4Jja/jdREPrEEKnXf/A4hzsfuqJtKmff3vIb/9vPy3y9G2/r07igVUbVh6Xezd6KTR11ZLkzXn+bZqH2NdPXXgoc8P6rQWUK/VrJvS/P6kaQFRc4fjvJufHO/Yt3ee4/em37m+hXGw/odHubQtnlJ7Y41y77kC9oV+93mtgP/n1H77Yuz2eAgCEthvcM44XvTtkENz7r4YW0PafaHTbHeXr1oo/+cVXE3OjyfbFaVEPPT9ycCMcm4/QTei6XyXkzAT/2D5976xNMjOdDd7+9ot+tTSny6lF3dY1Cjxe0wMhiQmNqssek3lPZmbmkFq9kxKVsszsnKLya37Nh93bLoxlZpU0feCFdy+RVgAQd1v3Hq2i8zMz5bZPTHq9lz9AVJ+3X+4clpVR7nipZlqCg3s/ONj/REZGRsaJ4F6f3tu4fN3ERx9sFeDKzFY7PvXy65hWCN2sru+9hCtXruzUqZOfH/YNIYQqwE03cBQhhC4FAwsh5DMwsBBCPgMDCyHkMzCwEEI+AwMLIeQzMLAQQj4DAwsh5DMwsBBCPgMDCyHkMzCwEEI+AwMLIeQzMLAQQj4DAwsh5DMwsBBCPgMDCyHkMzCwEEI+AwMLIeQzMLAQQj4DAwsh5DMwsBBCPgMDCyHkMzCwEEI+AwMLIeQzMLAQQj4DAwsh5DMwsBBCPgMDCyHkMzCwEEI+4zKBJSh2q0hOvyOixW45+7YcJ5LFokiYegihG+FSWUOA5/z1w7xDLiIQACBMO7r8h+R0ryCczSwqKu59Cxet25tnUuGGlBYhVKVdKrAosLTf3v52RykVCAChppoy450f9rrOCyzZ6tz0408L1meZVCCX2BBCCFUU8dJ/EiwOu0USRZEwLnBJsTqsIgFKCdM13WBUEACIZLUqsgDAOeecm5rOREWRCGf8xh0DQqiKuHRgEcKMsoyUPbvzTZ0Lhju9hAMVBSN35QcjPlmeUxwSec8H0++WCFCBlmYu+OzB/xpJ1bYtXSF3HzP9nYGBIruBR4EQqhIuGViEEN11YNoHry6XOQPCzYJjZr2HlbxZb0/aY0l86tn4oxsX/rQ0qY0iAAAF94EDGc3+78ON7z0zsu/z0/Z1H97cdgOPAiFUJVwysDhjlsA2b/86a0gEY5zqziUvtv6ZO8uK3OD2ZO/Y6RICErvFySUmBwDDFOMbdBrYo74pl7VrfnJ9nkkIYKMQIVSxLtOHBYzpHqfTU2ZqXNCdbs1kzOEIspjBkQM/+OguPwCAoxM1kwNQoh0/uTf1qNqx1ralqxomPilxzgH74RFCFeqy47BslnMu/gmKVdS1Gne9/njolnGJDRMSWvcdvTQzOMAuixSoNVBz/jqqb5N2D5fe/eKAaLuBXVgIoYpGdF0/88Y0zezs7NDQUM45AGcmJwI9HVmn3gqUmrqqGQyACJIkACeiUHT4tzGPbrpz/qdtFA/IisA5BxBFceXKlZ06dfLz86ucg0MI3Vou0yQk5w+uOvWWMUYESRHO+ZwQznS3UwXJYlVMlXHsvUIIXQ+X68O6Qpxxe2ji0Fej4kTVwKxCCF03FRFYnFsCG9z2QILu9pgce9oRQtdLBQQWAHCme9064HVBhND1hBMtIIR8BgYWQshnYGAhhHwGBhZCyGdgYCGEfAYGFkLIZ2BgIYR8BgYWQshnYGAhhHwGBhZCyGdgYCGEfAYGFkLIZ2BgIYR8BgYWQshnYGAhhHwGBhZCyGdgYCGEfAYGFkLIZ2BgIYR8BgYWQshnYGAhhHwGBhZCyGdgYCGEfAYGFkLIZ2BgIYR8BgYWQshnYGAhhHwGBhZCyGdgYCGEfAYGFkLIZ2BgIYR8BgYWQshnYGAhhHwGBhZCyGdgYCGEfAYGFkLIZ2BgIYR8xvUNLMMwOOfXdRcIoapD/PtHlNKKSpm4uDir1Vohm0IIIaLr+pk3jLEjR45YLJYK2TTn3GazMcawkoUQqhDnBRYAeL3eCswXjCqEUAW6MLAIIZVVFIQQurwL+7CwToQQumnhsAaEkM8QKcXMQgj5BnHbtm2VXQaEELoiF3a6I4TQTQvbgwghn4GBhRDyGRe5NQcAAAgAOfcdAcY5UALAz37OAQdBIIRunEsEFnMB14BwAAYgMEYNZhdFoVQ1mMyAcAACnMtEsNFLRR5CCFWwi8UNFemJl2jRd0AFAAfQkpTsOmtOzujRpmn3r9ZnPnSEySZwAkx/PChhcnhngxk3vNgIoaro8n1YfgDdzrwRBOHc9iBCyFdQURRFsaJ6rMUr3pogiqIoVNBuAf4psNwAp0ZpMcbTjx4hshcIO697CyF0/RFBFEXh6k48IoiiSAmhlBzbOvf35A2FBqX/87lLCNny33fGfrnkpCBcPooIIUdW//LtivQKHJ1++Q1pAJkAAMAJ0Gqh/lwpAMB+doRuKCKInq2//Ofzv7yiKBAglFJCqCAIgiCcjaDyj0+vI4riidVvjp2S6jQpFQrTNq3fdsDNKT1vFTi9FYGeP+sBoYJweilCz3lJKQCPbj2gd5f6dsZ4eUmocOFWTxcub9+KRXvyTv3pzM5O743QM/slVBDOvrx0rF6+yzwQYDDAbgAXFYAxDkoR2AtACwcCIJdhVQuh640QopUcP3Jgz87dpQezGsYFB4paqSZbvLmFmiyJDms1h79AgTCtqKiMWv39LBIhYKrOE+n7d+7OaJ6WHlwnRpBkm132nMxN112yX/Xq1RyEMSqIeklO1kk3J3K1mjUDZMJOX/Z3F+e6aECoQ+GUewrzDEuQw0KJ6c0v8dpsfv41Ym2Sv5VzT2mhrvixwmMFXhJQLSzYXwEOAoWS40dOOplgDSGK1cIFACCCSL0FGceKDMbBGhQdHiISo6TgGLNWC7QInOplJ4ppYHWryLhaluvm1QIcF02tiwcWFT1gCQVoDDALhHibJf5kacYfszcL1AZSBpgaGAqwimyaIoQuilKau3n613+sLz62c8wnZc88N8z4Zfif1nZ0+3F7lHcbCR3975Gto+2etGUffDK/xZPv3Nu8GnBwZu2YMu23rDT+42dFhx8ccYeilGTs+OPbHakHDhfTyKfHje0dbffmbv/+y89XZXO51BXY+V+vDe8eRoFzoKKY9tsrI4/du3BUP1FPm/TcY7vaf/zT8ET9UPLYX3fe9fCI0qn3/dXohw9vD93y/cj/5jeow45s3ZtF63Z79e3hTYPk9A3Tvvr6pxxe3WqLq+4oIHUJAAFX1rzxY74/4AoG8zgL7P/As092i0n+4pm1td+b+FAClK15afCr0WMWvdUjMO+vz/+zuf43LwzxVy4yd8xFmoSUwNrULpMXjflxfeKP67r8uLT3jM2JhSctfW7rb5aFghoASiEQEww7Ng8Rut5M04zt+cL4F4ZEdR4+ffyr3WsHeA1ekBf07K+fvjfuua5e/UBOCYBxeFeKEtaqfcNQwkzTNB21O4547eXGrQe+N+mbl3vW0Rhk7MuMf2DMz7/9dHd88YoFu1RSvPTTr7MT35k55Zepcz+L2jllzq4CQigAMAaN2nZ2pO5J1cC1f2NugOPw3sMeMLKPZle3RtUMtzGgAgUAoKJ4dH9ulzcmzZw5tmHpvjVbs1Tj8MxPp4U/8suMqVN/HNOv+GgmYwTAu3vapLnHW4+fMvWnKdNnvtx2zQ/TtudrLZu3cu3dmwdQsGZhbq3Y9G17GKipO/Na1a+nKMJF0+Vic7oTvnh3/5/mnbAHNgR+J2gOzoxHBgfXjAoCYEB1EEzgAgDehIjQjcAYd3s1ZqguABk4AMR07FmHcBBrd6lf+uveQ/c0Fncfzlbq94pQwDQAyqsSXq9p6B63GxxWU1Nrd+ufFK0AaHHx8ZuOnijJLJ2+4aCn4KNnFjMuQt7RHXWyTGhxan9Qq1lLMvZAvte9Pq9+tz7C7AO7s0/kH8j1hPSrocDe01HCTKPp4PuaOgBISJ3qAQdyC0pycrLVjk91qwGmwaq3eeS2ul9QEVyps5cXtRnRJxbAMMG/WZfu9u17sjz94uLDF+/K9PbNXGze/kjPtGk7M/OCVmcExHaupgicX2y41MWbhIrk9bNoNrADAbC4TJMzppsGAd0BTACpGIiJQxwQuqHO6Re3yZLJORC5ZdeWH0/cu7eTmZld2vSueuKpvDq7ypl1LCJlAADcND2qobMib7Gc8MALzzQj3AQiKiOCa4QwxgAAgEn2hq2TQpatXAeaHFCzT4+Wb27dlRcIZt2WjRQ4tdDpzQoGB4Uzk7tVzdSPHE0TFBkAOADjomIHg4BeVqxBhAQAHDgBEGRBd7mhet0WYZE7Utetyxbrdq3dWor/YvOWOCM+JiGmusAvPrzzslcJCQNytmwMKC1Uw/6MqfFz7xrzoh1zIv13B+HNiAjdANw0DI1LAACEn54ZmBtcTOjcrWjj7LlrM1iXxFiBG/y8dTwGsVjKL46d0yFECDAeWaeJPb/EE9mwcePGjRPiwqr7n/vwGSo3aJfknj13hwDRsXEdO7WaO2daTiaPj/QDODevztssAEiRtWtqe/ZnmiCK1CjYuCsVmAkBkQ3DnWkbj7iBiCLw/LQD7sDIaLsYHJYQVytl6szjCXENq8fUbRI57eeZFik4xF+61NTHl7tK6PYyxjgAmCb3qkyUoYEjRM4MBjUACPd4WVxc8AWlRwhdD1K1SL+9c7+aG3JnhwSie9RTwWQyHtd9SNDL3+1v8eKj4XBOK4pzCKgZXfLH9GlTXd36VmeaV9VP1bA0r8ftMUJaPfxIg9Gjn3UNGxjFi/en2R58bkit0x3dnAqB4eElOxcUtPiqXk0iQJ3Q1PnZt73aMBS4CYbq8uocAAzV49VNAABgutfjVXVbfN+7e8/+efTbJd0bKZ7cdUcMT5wGpNbgR3p9/OHXY5WjCRaek7pN6TGgU2QQgB4b7By9dFefe99w+NlCQ+wlB4r9HkqoboVL3T5zycDiwJ+5J6JmdQUAGIe4SEuNUGnCq80JIeUhxTnYrZQxDCyEri/OmK3Z4FeeKltxPN/pFZsOerpamH95sjAOtRu2FgOy7+kcyc9tDpqMhbZ6bsQdC7bl5jvVps37DYoOCBQYY3Jc+0FDG1XzN1jUkFFvBUxauPtYDjNrd+pa02EBfup0Zia3BrV59qv3tejEAMZYaNLwl53e+on+jDEOCX2GB4f6M0bqdB8m2aJEzhgEJg4eGhsYKwHp9tgYOvPXnTk5Qp1uH73XZIcZxZgZlnj/ex+F/zB/17EC3d7szof6dAhSDJMJkS0GvTqxUXzzcM4gol7fF0fXiW8VIzLzUrFykQn8RFEY/XXG1AV5HVsFBNgFAGAM2rfw79gy8J0JR0XxVKNYVXmX1v5D+1U3L7lxhFBFoaduhmEMKAUwDYMDUFF0Lx/z+M+BL/74XCtuXHAmktO3xXAG5PQ6RBAFcvr1uffNlG/xnLWpKFAAZhjs9N7LX4MoiuWLC6JIgBuGeXpf3DDMU+udVb7AmQMAAOCmYXIAOF0aZhqMn1rxzN8u5uIzjjrdpkdlusE54wDAARw2wWETjudrZ/rwGAc/mxAUIOIUMwjdeFQQCnfNHffxx5tCH5kx6sEwO2FV4Ey8eGBRcuEDChnnnMMFQ+b5qUBDCFUKzhkHQRSAs6pRccA53RFCPgNHJSCEfMaFVwnxUfUIoZvWhYGlaVqllAMhhP7ReYHFGMvIyJBlubJKU6WIIk6Hj9DVOe+c4ZxLkhQaGnqpcfGoAh08eBDrswhdlYv8yHPOMbCuN9M0Dx8+3KpVq8ouCEK+BFsllYNzbrPZ4uPjK7sgCPmSKjmsgRPJokgV9gyRay0FVmMRukpVMLCIILsPrFi9+2gJv/QYDkIlq8Ny8UkPEUKVpAoGliDZipZ99Pkfm3L5JR5TRChx52+bMe63dEO5yicrIYSuoyoYWACcyDarIlEAIIQQcur5SKf+SwilVC1JWfLT0hxDOj05BRBCBYFSQgg98xiis2tD+bONTv391IszS57ZMqEUR+YidM2qZGABAAClolmSNen5Tl26dmj56OdZTl6cljy8d7sOSW1fnvrf8Y+OT86c/9Sw4ckHXVZZlGzGnrlfj77viduHDmzTrPl/Zh61OPxyVnw8tG/nTh27PTppp9Wv8Ndn//Pep2OHtm3dfei/f18w++khSW2atvjPzKOSRSZ560bdN7BL505Dn/4pXZLwSgdC16bqnjuMmZbg6PtenlA/fceskX/M3zKgafbSw61fXzl2aJDgzmwjlj6y6e5fPu9k93g0U5aAeDPmHxbG/fFHYtonPV/7efvQD9t0e2yko9Xh1GW/T56+6bnXeen+31fFJq9ZsuX9B1+a5PhtypbYXe/2fn3aoWFPb3pzQnpkn1eH1dizbsnUhf0/7BvqNS4xoyJC6NKqbmBRCs7D679795vdVptT0BrYrXVbdG2/e8177x9O6nN/C7sI591ZyTUjsFvrRnVjgkRbs3bGvKLi0p2zf/7krz0WQTXDowhnJot+4MmBESEBEXU73JEfFlJNkZs2b8eS84+X5Xv03OJNc5Ltgj2mZw0wcFIehK5JlQ0sIoB+YM3sv+z3r/6+3acD/uX0svDu93+Q2GfOO3d+Mb/O+Ds4AVGxSAIlp6et54ZpMsbBNE1BsRfv/urP7AHvTnrAf+m/nljFAQCYrhmcc85MnTHOAUzT5MAdNn8CcV2em/JKNwLAvM5Sr1mZh46Qz6qifViEEE7lqMT2odtfadXzqeXHXf42tvfnF1q06/v+HKVTUt0aEc2r+//+5D3PLzzgssrCqXXI6b52MLXghD6tyyYO69ru2Tm8mgj8vL+f88r0GtEPvHWP9ttLTZu1aNH5jnErjvlZ8KHZCF2L8ybwM00zOzv71r+XkHDdo3JRkSVQS0tcpmBVJElRQHOVujUgin+gXaJE8xQ7vdTu51BEwgGYrukmkRWZcF31mKLdKuju0jK3KVrtChVlmXlVJsqyRC9c0mqRRfCUljhVA4hgsfvZFarrxrp16wYOHFjZ3wVCvqRKNgk5ka1W4JxzsPgHnXoaG+fc6hdiPf2ac9kaGFy+FAcAoJJikYBzDkS02CXOGUjWgGDrmbWF09v825LcNEFxBCiOMxu/8ceM0K2gSgbWObfFnBce5yfJhblyzvtTLy+1/N+XvNiNOAZeKEToKlXRPqxKJwhCUlJSZZcCIR9TRWtYlY4QEhgY6HK5KrsgCPkSDKxKk5eXh61ChK4KBlblME1z7dq1ERERlV0QhHwJBlbl4Jz7+fl16dKlsguCkC/BTvdKg6MbELpaGFiViADTikucHqN8kITpKitwX/453KYn/9hJF3Z8oaoKA6vyUBE8R78e9dL45akcoCR16ZsjX1ybzS63SunW8S98tPbkZZdB6NaFfVjn4CAqiiAKMhUIBc3t9OhMkG12q0SAG16XSwXFrhCDSxaZGJpHY4rVIhCuuZ0egxMiWu1WiRLT8LpdGv/HifqYDva6zw1r8OrMtTkdax/5a6q9/bs9Yy/7ExLUccyvHSvugBHyMRhYZxDRqu1f+GdaatbKo/vyimj/f7//UKvQQ0s+HvfzpmIS0u6x117qJswbO1tvErTqp7l6qwFPdwuf+t03R1xB/f/93gNNg8C778vnxq/J9dZp++h/RnT1d2lXUhHyb/7w7Svf/+CdV44LTT56MxYADs59ffTUg7p//F0jX26675tNIUPv7VxL9GRMmbGuWlJd9383hg9/Lim0cMmET79becBabfC4iXcXzp+3ftu29blRw794spmCd1ajWxY2Cc8ggsSKUpNf/25D45733xVdOH7sH0dFCGt42wOPPzawnW3LJ9NSCDu0ePLIz/b1eeIux/bP7/14Res7nrszKn/82Hl5tsI/XptwOKTzkw8OCHStmb+tzCJd4Xcb2OPJbtrsXS3v+k+sDQAgMvHuJ556okdM2ZLPkkmQNGHBRh2g9NC6vanb7IHi5mmLMgzP7unfLtiq3PPUUwOjt0xcn5O/a+b3f5X0HdojprIfBYTQdYU1rHNwbvLg7t079+/fy1onZ/EDG9OLebUjWz4Y+0NefrE1/HavCaIS/8CTD/fpFynuWlecUbdtrx6WmMwlD27NPN5ub9quBau3bkwWVFutRzqUUWq7sp16ln07WekS8efEXx6f/HgoeNXdK155d6qnsLRmUmNb13uHvPvZquIeAeml0bWHdQqTFilWi+4+dmjX/KXb1+2dB6bQrPZxIoS36dSjZ+c6ftf5G0KocuEP8nk4UFkUmGnqHERJdhRtGDFm50MTF6+cMSYxwDQ5AAhWq2iAzolkFQXTMHUOIgEuUarWHPrejO3bd+5bO+ffHauXXdksfe6tMyYebP/QqNcepjN//DMf3CseeiPny3Xbln/zSiOryw1Rj4wk37wze9eugzW6NQVQGQAIwFT/Lvd9uGnLlm3bN35/V7MyL4gU8OIhuuVhDescBExNVVWdA+FM9zo9mhRas3berPdeXiG4TpaFAeGa26PqHOCCJV0eOe6Oh6KeHft//1peS/KLuO3uYb3rBXiNy/ViUUHRjm0b/e2iXveNbRURF/PgsCffH7ks9rG69Q59MXy4lHdM9WsLHEKSBtARz6+654Pv4gmA4S1zunhguztaT3vp6wefWl3DYWt49/21mObVDRzWhW55VXICv4sjVDTz0w7lef3jGkZRV9aBHcWRHZsKaWtXbs/Qg+Ia1fSPaBBTuGm/GdsgPlwqOHToxNkliyLaNKtpKdy0eFVKvgsswY3bdGgSYdXNS36NhmGs37CpT/sG6w6eqN+4bZgNQCvdsWerLbZD+PG1ybtOWELjG8aG1oyLtRPvgQ2riiI7to2yAZSkrDzk17pVpM3M2rFmXUqOCXJEm87NeH6uGVKnXph0I78whG44DKzzUFESKdM1E4ggKYLh1UBSFEkAZpqMGZpBFRkMzTA4lS5YUjWJqFhkkRDgTNdUzbzcwAbDwBlHEbpq2CQ8DzN0rfwVN7XyTihd9Zwz+pypKgAA+fuShHBT83i000v+4zAsnKoBoauFne6VgxASFxdX2aVAyMdgDatyCIKQkJDg8XgquyAI+RIMrErjcrmqbF8hQtcGA6tyMMaWLVsmSVd3WU+WZUEQsF6GqiwMrMrBGJNledCgQVe11u7du4uLi3v16nWdSoXQTQ473SvN6adDX4Xhw4d37twZG5KoysLAumGoZJGFq86o81itVlHESjGqujCwbgwKbNcng0cuP0nPm0+BM80oWjblzwMn8nXDNAznujlLdx7K1AzTMNw7/lq9cUuq1zBNQz24Y/OWDam6TPEfDFVlVfLnmhPRIhPGBEmi3NRUVWcgylZFJMBZ+VvZYpUocFNXVZ0qVlkgnBm6wQkwwzBBECWRGKrGiKSI3KszSZZlUQAAXXVrBhEVSaBUIEz16ESSFUnmmjcnJT1aPzuglIgyHN/2/vSp+zc4muz9ijR7Nbxk1uzVIUmhY2e0HtXO+9uEtWFdlRUz2r06kPw5ZkP13rA1J2WTIFkq8ZtDqHJVwcAiguQ5sn4XD5UPrN9RGlKrU6eOkXaWvnHGqlS3GBzTrkO72sH80PJp6zI9fjUbdOyUqG+cvTS1yFo9NiHGn1iCY6Ij9YL0jIPeqLYN/dWcTSmkTZPQ7L2rVm07olNLq373NQ52Ht2VcrIwJy0/oOuQ1uTQ+mUbDlkbWERRpuc0CbmhQ3izx9ukv71hUrb/Gx/cl2TsV/ev+XCP8vTH97VxnLCmrH9zo3DnB3ckxQgxQ7eMXCx084pFBNZV3leHUCWrgoElSPaipR++MoM37NqApuz/fXem9c1n2nkKs46fLD20aNmRXNuIvgVv/LCwfq1wG4Ql5Wx458d5IUGhfqpfvLb5k72B44YPc6/66t/fim9N+7Jt2k/jVrabrGz6etSUnJpNarg2LNxAP57UY9uPY77eJbToeV/DjKVz3pyYWqN5nYyszZra9ryOdgKgF/D4t76aVbZxhxMMTa/2+OhpNC3Fo+vEq/Qa/t19riy3V1UFs+Fdnw0K8/Rf8E3uP0+9jNAtqwoGFgAnouIfmzDwjfcHnpg79pPlfx4u6dwouubeaRtPpKV5a+eWlBVlHikZMHLy4639jJQfj+7Lrv/uR6/3iYCcBV8u2pmVW+A9nB6Q0Obwjm3GhvS23e5KWbU029b342+ejy5OGfXI/X8d7R0iW+O73vf+6P4pv47KDBky4dunAtN+TP319/Mv8DEAW9MOLQEABnUHAGjaHAAgvjoAQGzjcACAmgAAEJTUCQAgpH4Myzhw474ohG4yVbMPl3Nmq5sQawHQQeMGIbmL//3c5ttHj37h/j6x/m5W9+GFU0Z5fu7TYdgbWx1D58z8Onbt420GPrbMTLrDcXhNypL1BYOe7hBvSft16vHGPesHmaqgOAIEAI0Eh9cwDY1z7ggNtKpej2qKturhVgBSLSJc+F9nW2fGFU0KiNCtqmoGFqVC7ppFycsW//7HgqO2mH5xSvYemy4cz0xNOXKsCIgz78BJZ3yLfo2qGQUnsw7n5gU3HpBUEzKLbd36BC8dO/l4x4G9Wvid3Lb2WFTLWiEhUU1CeHryb7NWL5s5flnGw10bGx6X1+vVDcESEenvXDVx0m+rF/3486KCYvOfJ3FACF1SlWwSAuMQW896ZPLkLcF12jz9YAe/oLrv9Fz//eTZETFtB3WtZ8nd+uO3/y3T/BMHPduh2pG3Rn2fVUzqtX2kdyNqr3bH4G6hLdoGisFNajcZ/ESLmhIX4zs9/kTed5Omj18t1nlq4pPxWlle+048JJxoLKrJvQ8/WTh5xvhjvfq+9pAz1sYYjvpE6FpVwQn8RIt/1qQBbxQOG/3WPQ2JoXvcLp1TxeawiMCYqWuaZlKH3UKAG5rHrRGH3UoJmIbX7VI5lW12SXe7NUYtNgvRVa9ucKCyxWqVRQDT63SpJpGtFoHpqqYzoIrFZpEFpmmmSA2XW+cA1zqBX+/evZcvX65p2jWMkkfoFlA1a1jAOTc1T6nLRQ0DgBDgmrtMO2eBstKz75xlpzOdEOC626kDAAGmut1nP/W6de+ZpbjuLZ/1jxDgmteleeHvruFXgXN+S/+WIPQPqmBgGWpZ2NBvv2CylVbqnJ9Wq/VqV5k1a5au61i9QlVWFWwSAgAQSqCyKysOh+NqS0ApBQDGruSR0uja3ar//0uSZBjGTXV05ffGXvl04VWwhgUAwG+Cru+ysrLKLgK6CEqpLMu3WDWWcy4IwurVq5s3by7LcmUX56z09HSPxxMfH3+FX3gVDaybwS12StwaOOeiKBJCnE7nrfQPJAhCVlbWvHnzWrZs6Xa7b4ZKFqXU6/UmJyfHx8fHx8e7XK4rWQsDC6ELaZqm67osyzfDiV0hKKXHjx9njHHOPR6PxWK5GQ5NVdW8vLwGDRpomsYYu5JfCAwshC5ECBEEQRTFm+GsrhDlh1OeCJTSm+HQyoshCAKc/sLpFUyeVDVHuiOEfBIGFkLIZ2BgIXTDEEEU6dV05RMqCMJVrXEDXPVRVCAMLIRuDFG0pH01+JlfU91XFkFEshr7501495VpOdQm3iyhJRDY+UHv55KPE7EywgM73RG6LA5UVqyKRAA0T5nOZYtVEQhw3ev0GqIiC5RKgkAIaF63anACRLLYFJFw0/B6PQZINptFINzUTZNoxbknLdo5vd1UstkUCsB01aNqnEiKTRY4N3VN1RghoLmKC/NFEwhQyWZVKHBd9aqaIVocFokAN70eL0hWano0g3Ei2RSqqToTJJtFJsA0j0cz/+fOdSJabBaRADcNr1djXC06lucyQJQtCuUej1qRgxo5kawKMTRNZ1SSJZFrXlOyyaBzSZHA1DCwELoc0WYpSVk9deHmAi4lDXmuibBnXvKyjFIhKOn2x9uFpm3dUlJcuDU9zWk6Ova/p2WYCBaSOn9SckqJo2b9nr0H1LEfnvXl3DSPXK9Vvz63SYJAyTmz+ktq2rSv52cZNCqxZ/+kJsR5YO2sPVlMD2nUtmPTmgR0QiilBIgoqnumfpWcwwJbdO/doVn4gcVfJO/2SmH1+vVrb2z73Vl3UJMIxeLOnLv8WKO2Lap7dkyZsaaIRPa4u3fDGnZu/C+3RogWcmLh5Nn7CtXA2Gb9+/apLgAVRMVG83ct/W273m9Ql3CHYFZMaFFRdqUsWeOOSmhaNzD/4Na0HGtC5xpHfttBaytblm6jDdtjkxChS6KSWHxg0YSvJu05YVBmMs4BQBAVRc6Y+erEXap+ZOGEp/7v+/RCT86S718bv8plF/bNGvPRrO2abhoGiNaTiz/4+q9MI8A8uX7d8u3HzHMe9EYFMfv311+YtceQzax5n46fvjbLXbrl8+ff+DPVLVFyzsxplIpZc96csLnEEuQ5vGjV+rQiLgqiI5Ad+HPmr3N2F6bMf2N+isViL9wxbfrStSdLD854+8eDPCioYPN/V+4t1cj/0N9EJWvJyvGvfbc4G3jZ5pnfTPzv5jKqiJLoylo37ZuJ+4otFdowpLKtZPWEb+ZuPEZsJHPjvCnf/lUo5f06YvhLX65W4di8zz7HGhZCl0IlKNs1f3k63Db2s6dimOnxqkqp5Xj6zuStqdmHAtOcECQ66rTpNuKNf8F6x/AR6zIK436fcKDhO+Ne61GHGZyULP/wjz9X2iOP2LxHWVzj/nXEM+c3FUn+7jnJQQ9vfX1ImLh63F3TUnZ2j7QExbS688V/9QlxlXhMLp5aUijYN/P3P/fHpx+mBalWT5++fVvb+YK5SwvSclwJ9z7xzOPRQ5YdHlEnZa/St+ttdfWdL89YoLU/luLN3H405vm+iQH2a00sKkruwwtme7t9/uKLHaMO/D7q843J2c4BvOzYlPHvdb390y/ubcE8ZUbFtQk5J7LNqkgUOAiyxWqVKQeLf3TXOx95eVB8knIPBhZCl0TA1HWQZLsEYJpc4Semf/bDQcvt30yP+OnBjykwk1kiqwUyU9cUWzA1DV3TdFu4QzSYwU0imIYOTZ8c9/bQetUItfkHHRyrmo4zWzdNRh2KZACIFpssA3BOLbK/RTA8mgnnDPvmhkGs7V+a+EGfYAtRHLYTsx9+4ejLS37WJ3++ini4X4+hg2Z8+d6ccKa3bNRIdm30j7n9+Z/faSUAyIpNAcb5tU/OzUwTbIrMOYBosVgUD3AO7MjxgnbHVU0GwwsEoAI7sSgQHQTJShRiqB4AAkAEa0R0GIDH6VQxsBC6FKaTwKa9msz/aNbE8bRxhJLQoqnX4jp28vD2ZSlbDpY2AjBVj9urMU64obpdLq+jye3D+JhPvwkY2MQeEtW2Y/0eScWTJs6JGlKPW8ITO1DT49XL6yPM5GENujT7dNqHs/SmuYuWVG/zclOHssZd5tbP9DgRMHXV6/KwsAadm2ZM+3xuQK8I3T8uyebKCy7KWLXiwMb9eY0SqWip16HZlvun9vi/VxLrK0JewyZhv0yZmGy0cHiD693WIl655rhipuEX27l9wYxvf6uW7rcrOSOo48Mx1ZwqTXzpnReL57z36qR/P31XqxCbWEGzCZi6HtasHU1eO/dXedfWxRsO0yGUUGakL5k5IzylcN7GcOzDQuiSTI2FJd45/MF+zr0rFi1fkarW6DfkjnbCoSX7/Ia+fHcdRYrp0LNHl7qKodlCm/R5qHuozls/PfaJOtrqv5Zv2LH3ZGnk0I8/vicqb9nSZcvX7zhWFNTlybubV5c5BwDTNGo/NuHjhsV/zV+envDo0EGJUVZL3d6P94mS9PIre6ZGazTu2GtQM4ce/djXn/RQUhcuWbZ84+7i+MHv3x60eflee9uB9/SpIxtmYK2uTzzfs0Xr5gFer+hoN2LiG7ULNy1YvGz5rgyNAVz7Xdym5gkdPPqjntXSFy/dLLfp89D9La3u0C5PDGjeKHHYfQ9Lx3ZnlVXgBG3cUIXEu15Kqpa/Yu1Wqd39Iwc2t3FVoLVr2dKTVxyqPfT2KjofFkIXxTmXZZkx5vF4FEXhnAMnosVqVUQCoLpKNaLYbIrADJ2B7vGArIhgqKoOVLZYBc3lMUC0+tlkQripu91uA2SHwyoQAGZ43CqxKuA9Z6gBlR0OCwUwVI9H1YDKFpuoudxm+dMnOQiyIolc86iMKuVLAtNdblWw2E/N6K1qmq5zKtmsFqa6PDonBKhosdtkAgCGWuZROQdJkjZv3jx//vxRo0Y5nU6bzXYV5zgRbQ6bSIAZqtvtZSBaHIrhcjPRYlOo6vbo11S9opSWlpZ+9913HTp0aN26tWEYlFIAzqnsZ7dSAtw0NAbc3PB683EN/5j1eEPF1LzYJETosgg3VHeZeua96io9+wZUrwEAQIDpHpcOQAiY3rKys9Nlg+4qO1snAJf7vI0zzXl2Mm4CTPc4dThzgZCAqavmqRm5z10SzPNm9CbADLfLCafrUszwlpVebFrua8MNd1np2X2B6XW6AQB0r1O/9FrXiBCmn52UHERRpqIsMtXpKlMNhgNHEUI3L8PQEl5Z/h2RpPLBZBhYCKGbGREVGU43YDGwELpQ+VRNN8OkURVFkqQzs03dJIdGKRVOPwu9/MWVzId13QPrVppnFlUFoijm5ubu2rXrppr7/H9ECCkrKxMEwTCMjRs3lj/6odJxzstj6+DBgzk5OWfy6zKu71VCwzCu/HkYCFU6URQzMjJ++eUX0zRvpd/a8odQGIbhcDjcbvc/r3BDEELOXJa9wufXXcfAEkVx9erVqqpKkvS/bw2hG4ZzXn4uVXZBKhgh5AqnTr9hrvZ7vr41Q8ZYr169ruGJoQgh9HfXfaQ7NgkRQhUFb81BCPmMmy6wTE/RiZMnVbOyy4EQuvncgMC6uh4+emLL73/Oz3Ge/cSVcfJKnuluFDiLnNo/L3cxZUdOXNFjZxFCleo6D8cghDJ1z/xvFxXUe/D+fuaGCd+ucXa676Vu/ik/TpvrH9Vgz7ZtKgS26z+0f9tIyvR9iyZO21QW1apX8Klueufuhb+NeW2Kt2W9RqGBftGN73lgaLzf33djHts+/92RP6U7rAkNatn8Qwc8+mJiGIB5dMbHv+wq9hBrraEPD0uItgGAVpAza/KEPSVciqmbWLPNgAFRW2ZPH/vWVN6xaf0AR1DtxHvvuyPadn2/FYTQtbnONSwOIEh2QUvbvmhfIciBNf3yVs3YUQSy3S9/9SvPfVcQHR9vyVuQ/MeekxwIsYdExsDh2QuTjxSVry84QiIia0RExtSKj4+vVTPMevGAJYpfaM2IyIjI6Lj4+LiYaH8ZAGDr5F+2aUGNGjVqYM/55KPP9ma4wChe+cdXG7W4Ro0aOVeOenXiCgDRP7RmzeoRkbVi4+PjoyNCLdc+1xlC6Pq63gNeOadKXNuB3XNmmQZUazL48cF7Xi/SwT+ud+c2q8J6jXuyg7V0S9HUTSfLGISKtdrc8WQ14dDMtNMjM6xxrXv1a5mtPjigb0z1S++FhtRpP6i7c3+NkHt6tTr1mbZv1vTZc4ql9Q4JvIX7D1dLfODRhJjQyEjroa++3+agztxWIxbeDWCt16Ff32YZ0mPDeoRcpPKGELp53IAR+hxUj1M1QxUAcO9PzZWirQDAGa9eO8YKACax2vys8umKDQEiylb72fVdnlJD5QDgPpF5zAiIqxlw0Wqh213m9voDAJQdSzku1aljj2rc96dHnm3fMuLMMkw3ajR/evbOtywE3CtGJY1b8vD3DwCA01NqUQEASnMy8oXg2Bp+N9HQOoTQadc/sDgHu596Im3q598e8tv/20+LPH3b76uTeGDVhpXH5d6NXgpNXbUkeXOef5vmIfb1UxceytywfmsB5Ur9mgn970+qBhAVVzj+u8n58Y59S/c5bn/6rftbKBfbT2i0e9vCGaUn9jjXrjtQb+hXr/ca2E9+/Ycv9m6PpwAAoe0G94zjRe8OGQT3/quhBbT9Jxrddkf5urXiT37x1cTcaLJ9cVrUQ8+PHNwIx+YjdBO67lcJOTPBP7ZP3ztrk8xMZ4O3v/2iXy3N6XJqUbd1jQKP1/RASGJCo+qyx2Tek5mZOaRW76REpSwzO6eo/Jpf82H3tgtjmVklTR944d1LpBUAxN3WvUer6PzMTLntE5Ne7+UPENXn7Zc7h2VllDteqpmW4ODeDw72P5GRkZFxIrjXp/c2Ll838dEHWwW4MrPVjk+9/DqmFUI3q+t7L+HKlSs7derk54d9QwihCnDTDRxFCKFLwcBCCPkMDCyEkM/AwEII+QwMLISQz8DAQgj5DAwshJDPwMBCCPkMDCyEkM/AwEII+QwMLISQz8DAQgj5DAwshJDPwMBCCPkMDCyEkM/AwEII+QwMLISQz8DAQgj5DAwshJDPwMBCCPkMDCyEkM/AwEII+QwMLISQz8DAQgj5DAwshJDPwMBCCPkMDCyEkM/AwEII+QwMLISQz7hMYAmK3SqS0++IaLFbzr4tx4lksSgSph5C6Ea4VNYQ4Dl//TDvkIsIBAAI044u/yE53SsIZzOLiop738JF6/bmmVS4IaVFCFVplwosCiztt7e/3VFKBQJAqKmmzHjnh72u8wJLtjo3/fjTgvVZJhXIJTaEEEIVRbz0nwSLw26RRFEkjAtcUqwOq0iAUsJ0TTcYFQQAIlmtiiwAcM4556amM1FRJMIZv3HHgBCqIi4dWIQwoywjZc/ufFPnguFOL+FARcHIXfnBiE+W5xSHRN7zwfS7JQJUoKWZCz578L9GUrVtS1fI3cdMf2dgoMhu4FEghKqESwYWIUR3HZj2wavLZc6AcLPgmFnvYSVv1tuT9lgSn3o2/ujGhT8tTWqjCABAwX3gQEaz//tw43vPjOz7/LR93Yc3t93Ao0AIVQmXDCzOmCWwzdu/zhoSwRinunPJi61/5s6yIje4Pdk7drqEgMRucXKJyQHAMMX4Bp0G9qhvymXtmp9cn2cSAtgoRAhVrMv0YQFjusfp9JSZGhd0p1szGXM4gixmcOTADz66yw8A4OhEzeQAlGjHT+5NPap2rLVt6aqGiU9KnHPAfniEUIW67Dgsm+Wci3+CYhV1rcZdrz8eumVcYsOEhNZ9Ry/NDA6wyyIFag3UnL+O6tuk3cOld784INpuYBcWQqiiEV3Xz7wxTTM7Ozs0NJRzDsCZyYlAT0fWqbcCpaauagYDIIIkCcCJKBQd/m3Mo5vunP9pG8UDsiJwzgFEUVy5cmWnTp38/Pwq5+AQQreWyzQJyfmDq069ZYwRQVKEcz4nhDPd7VRBslgVU2Uce68QQtfD5fqwrhBn3B6aOPTVqDhRNTCrEELXTUUEFueWwAa3PZCguz0mx552hND1UgGBBQCc6V63DnhdECF0PeFECwghn4GBhRDyGRhYCCGfgYGFEPIZGFgIIZ+BgYUQ8hkYWAghn4GBhRDyGRhYCCGfgYGFEPIZGFgIIZ+BgYUQ8hkYWAghn4GBhRDyGRhYCCGfgYGFEPIZGFgIIZ+BgYUQ8hkYWAghn4GBhRDyGRhYCCGfgYGFEPIZGFgIIZ+BgYUQ8hkYWAghn4GBhRDyGRhYCCGfgYGFEPIZGFgIIZ+BgYUQ8hkYWAghn4GBhRDyGRhYCCGfgYGFEPIZGFgIIZ+BgYUQ8hkYWAghn3F9A8swDM75dd0FQqjqEP/+EaW0olImLi7OarVWyKYQQojoun7mDWPsyJEjFoulQjbNObfZbIwxrGQhhCrEeYEFAF6vtwLzBaMKIVSBLgwsQkhlFQUhhC7vwj4srBMhhG5aOKwBIeQzREoxsxBCvkHctm1bZZcBIYSuyP8DlW6QkBJ6hGEAAAAASUVORK5CYII=", "text/plain": ["<IPython.core.display.Image object>"]}, "execution_count": 6, "metadata": {"image/png": {"width": 400}}, "output_type": "execute_result"}], "source": ["NbImage(\"nbimage.png\", \"nbimage.png\", width=400)"]}, {"cell_type": "markdown", "id": "ceb67356", "metadata": {}, "source": ["## Multiple remote images"]}, {"cell_type": "code", "execution_count": 6, "id": "b45ccbf6", "metadata": {}, "outputs": [{"data": {"image/png": 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", "text/plain": ["<IPython.core.display.Image object>"]}, "execution_count": 7, "metadata": {"image/png": {"width": 400}}, "output_type": "execute_result"}], "source": ["NbImage(\"nbimage.png\",\n", "        'https://github.com/sdpython/pyquickhelper/raw/master/_doc/sphinxdoc/source/_static/project_ico.png',\n", "       width=400)"]}, {"cell_type": "code", "execution_count": 7, "id": "75dcfe22", "metadata": {}, "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": "3.9.5"}}, "nbformat": 4, "nbformat_minor": 5}