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Support bare text nodes #117
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It interferes with building tests against the native text element node types.
Per #62 we throw when trying to pass a non HTMLElement as the node to be converted. This required removing the jQuery library from the test suite as it morphs the inner texts. Add test case for issue #62 (includes adjusting the unit test framework) Add code to handle wrapping the base text node in a SPAN Add handling of sizing when there's no valid size Emit reasonable SVGs with the implicit size of 300x150 if not set Cleanup a bit to move the SVG generation into the toSvg method Fix a control image now that we're doing the sizing correctly Make timeouts less likely in the unit tests
Also extended timeouts. Reenabled the shadow DOM test. Emits failed image tests as an easily pastable HTML test file.
@@ -50,6 +49,6 @@ module.exports = function (config) { | |||
}, | |||
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singleRun: false, | |||
browserNoActivityTimeout: 300000, | |||
browserNoActivityTimeout: 60000, |
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Overall much faster tests now!
this.timeout(30000); | ||
loadTestPage('bare-text-nodes/dom-node.html', 'bare-text-nodes/style.css') | ||
// NOTE: Using first child node of domNode()! | ||
.then((node) => renderChildToPng(node)) //, { width: 200, height: 200 })) |
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The interesting bit here is that we're using a different helper because we have to get the domNode()
first child to get a bare text node.
Also note that without intrinsic sizing fix, we could pass a specific width and height using the support that was always there in options
console.log(` image: ${image.src}`); | ||
console.log(` imageBase64: ${imageUrl}`); | ||
console.log(`controlBase64: ${controlUrl}`); | ||
console.debug(` |
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Lets emit DEBUG log messages that make it easier to see what's different... so some nice HTML
@@ -587,17 +598,17 @@ | |||
function assertTextRendered(lines) { | |||
return function () { | |||
return new Promise(function (resolve, reject) { | |||
Tesseract.recognize(canvas()).then(function (result) { | |||
Tesseract.recognize(canvas(), 'eng').then((data) => { |
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Tesseract 4.x has much better language support, and all our tests are in English, so might as well be explicit
lines.forEach(function (line) { | ||
try { | ||
assert.include(result.text, line); | ||
assert.include(data.text, line); |
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Tesseract 4.x examples use data
instead of result
, so might as well ;)
@@ -1001,6 +1015,12 @@ | |||
return domtoimage.toPng(domNode(), Object.assign({}, debugOptions, options)); | |||
} | |||
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function renderChildToPng(_node, options) { | |||
/* jshint unused:false */ | |||
const firstChild = domNode().childNodes[0]; |
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The helper for bare text node testing...
color: black; | ||
background-color: white; | ||
font-family: monospace; | ||
font-size: 20px; |
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All of these settings are really to make it easier for Tesseract to OCR the text.
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The fixes to the sizing logic made this control image being incorrect visible...we we're clipping the right side off.
@@ -1 +1 @@ | |||
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AQHKVTUeQl7Y444gidfvrpcmDl5j2Pjj76aO27775hyTsHSHXq1An7KFWrVi38zJVEzz//fHi/l6Vz8xJ1jRs31qBBg4plwsEIIIAAAgggUL4FCIrK9/jQOwQQQAABBBBAAAEEEEAAAQQQ+P8CGREUubsff/yxhg4dGvb/2XvvvUMQ8/XXX+viiy9Wly5dVKFCBXn5t759+4b9hAYOHKirrrpKBx54YAiEHNLMnTtXDRo0CH/36/7TokULde3aNQRI99xzj/bcc89wjnnz5smVSA6Y/L477rjjV8+Nl6J74YUXwv5Gq1atCudYvHixatWqpYYNG+ree+/V2rVr1b1793BuVxXtsssuGjNmTPhfGgIIIIAAAghkrwBBUfaOLXeGAAIIIIAAAggggAACCCCAQLYJZExQtD3hL7nkEvXu3VvHHnts6IaDp/POO081a9bUxIkTt2fXuDYCCCCAAAIIlEMBgqJyOCh0CQEEEEAAAQQQQAABBBBAAAEEUgoQFBXyYHjvocsuu0xe/i6xuVLIVUyjR4/m0UIAAQQQQAABBH4lQFDEA4EAAggggAACCCCAAAIIIIAAApkiQFBUyEi9++67OuOMM7R69eqw/5DbBx98EJas895HzZs3z5Sxpp8IIIAAAgggUEYCBEVlBM1lEEAAAQQQQAABBBBAAAEEEECg2AIERWkQeq+iZ555RjVq1Aj7Iv3000/q37+/zjrrrDSO5i0IIIAAAgggkGsCBEW5NuLcLwIIIIAAAggggAACCCCAAAKZK0BQlLljR88RQAABBBBAoJwKEBSV04GhWwgggAACCCCAAAIIIIAAAgggsJUAQREPBQIIIIAAAgggUMICBEUlDMrpEEAAAQQQQAABBBBAAAEEEECg1AQIivKhnT17tgYPHqxNmzZp0aJFpTYAnBgBBBBAAAEEsk+AoCj7xpQ7QgABBBBAAAEEEEAAAQQQQCBbBcp9UPTKK6/kjR49WlOmTFHDhg1VtWpVbdiwQSeffLKGDh3SgO/5AAAgAElEQVSqmjVrltrY3HLLLZo5cyZBUakJc2IEEEAAAQSyU4CgKDvHlbtCAAEEEEAAAQQQQAABBBBAIBsFyn1QlJeXl7d48WI1btxY06ZNU5s2bbR+/XqdccYZqlSpUghxKlQondsgKMrGR557QgABBBBAoPQFCIpK35grIIAAAggggAACCCCAAAIIIIBAyQiUTsJSMn0LZ0kVFPnnY8eOVffu3bVixQrVr1+/BK/4/0/loOjPf/6zFi5cWCrn56QIIIAAAgggkJ0CBEXZOa7cFQIIIIAAAggggAACCCCAAALZKJCxQdGzzz6rdu3aad68eWrWrJk+/PBD9erVSzvuuKPWrl2rzp076+qrrw5jdvfdd2vWrFmqVauWli1bFvYeatu2bXjts88+03XXXafvvvtOO+ywQwieBg0apPbt28tBka9z7rnn6umnn9YXX3yhAQMG6Pe//3049ttvv1WfPn20bt268PdDDz1U999/fziPA6Z77rlHe++9t1auXKnbb79drVq1ysZniHtCAAEEEEAAgSQBgiIeCQQQQAABBBBAAAEEEEAAAQQQyBSBsgiKjpA0RlJzSXMldZe0NF2g/CqK7rrrLg0cODCENDVq1FCjRo3UrVs39ezZU5988okOPvhgvfHGGzruuOPCXkb9+/dX5cqVNWrUKI0YMUKrVq0KXWjatGk4dty4ceHfb731lt5880317t07BEXPPPOMXn/9de25557hOJ/nP//5j6pVq6Zrr702BE3eP2nz5s3hPJdffrmuv/768H6HWN5X6f3335eXz7v44ovTvW3ehwACCCCAAAIZLEBQlMGDR9cRQAABBBBAAAEEEEAAAQQQyDGBsgiKXo9CopjWYVGLdJ1TBUXvvvuuzjnnnFDp4yXo3n77bTVp0iQERPvtt1849SGHHKJOnTqF6qHE5lDHP//+++/D/kbHHntsCHEc8rg58Pnggw90+OGHh6Bo5syZ4X1u/rmrhpYvXx7Ov9tuu2nMmDG65JJLwutXXnllCKB8jIOkxx9/PFyLhgACCCCAAAK5JUBQlFvjzd0igAACCCCAAAIIIIAAAgggkMkCZREU5aUASvu6iUFR48aNVbVqVVWsWFHnn39+qB5yldDUqVPDUnJeiq5SpUrhcl7urUOHDurbt6+mT58elo7ba6+9tHr1as2ePVs//PCDnnjiiRDkuELIoU9ySw6KfM7/+q//0j//+U/VrFkzLCt30kknhSXt3Fzd5L8/9dRTodrowQcfDK97LyWqiTL5Y0LfEUAAAQQQKJoAQVHRvHg3AggggAACCCCAAAIIIIAAAghsP4G0A5tidLHEK4qS+xIHRRs2bNAee+zxq5ddDeQ9jFwFVLdu3bBM3KWXXhqCIv/9wgsv1L///W/tvvvu2xQUTZs2TW3atEnJ46XnHnvsMf3xj39Uv379whJ4NAQQQAABBBDIfgGCouwfY+4QAQQQQAABBBBAAAEEEEAAgWwRKIugqFT2KEocgIULF4a9iObPnx/2HEpsXppuyJAhWrNmTfhxYlD0zjvv6Oijjw57EDVv7i2Uft0Kqihq0KCBdtlll7C03Y033virAzdt2qSvvvpK++yzT/i591N65JFHwtJ1NAQQQAABBBDIfgGCouwfY+4QAQQQQAABBBBAAAEEEEAAgWwRKIugqFhWqfYoSj5hXl5e2FOoTp06coWP9wfyzxzYzJgxQx07dtSKFStUu3ZtDRs2LARHrihyO+GEE/TLL7+EpekOOOCA8DO/ttNOO221R1Hi0nMOiq666irNmjVLc+bMUb169bYcu3HjxnDsqFGjws8eeOCBsPydl7yjIYAAAggggED2CxAUZf8Yc4cIIIAAAggggAACCCCAAAIIZItAuQ+KFi1alDdixAhNmjRJLVu2VIsWLTRw4MCt/FetWqWuXbtq8eLFYZ+ghg0b6t5771WNGjXC/kVz586Vwx3/3cf7z+23367169eHvY4c+Hj/IwdO11xzTdiLqEePHqEKaPjw4WF5OVcPjRw5Ur1799bdd98dAqVevXqFEMhL3tWvX18DBgzQscceq9/85jchbPL1vbSdj/P1aQgggAACCCCQ/QIERdk/xtwhAggggAACCCCAAAIIIIAAAtkiUO6DIlcUZQs294EAAggggAACuSFAUJQb48xdIoAAAggggAACCCCAAAIIIJANAgRF2TCK3AMCCCCAAAIIlCsBgqJyNRx0BgEEEEAAAQQQQAABBBBAAAEEChAgKOLxQAABBBBAAAEESliAoKiEQTkdAggggAACCCCAAAIIIIAAAgiUmgBBUanRcmIEEEAAAQQQyFUBgqJcHXnuGwEEEEAAAQQQQAABBBBAAIHMEyAoyrwxo8cIIIAAAgggUM4FCIrK+QDRPQQQQAABBBBAAAEEEEAAAQQQ2CJAUMTDgAACCCCAAAIIlLAAQVEJg3I6BBBAAAEEEEAAAQQQQAABBBAoNQGCom2gnTx5sgYPHqzmzZtrwoQJ23AGDkEAAQQQQACBbBYgKMrm0eXeEEAAAQQQQAABBBBAAAEEEMgugYwIin766ScNGzZMr732mnbeeWetX79e/tl9992nFi1abJcRadeunXbZZZdSD4r69u2r+fPn64033tgu98lFEUAAAQQQQKDoAgRFRTfjCAQQQAABBBBAAAEEEEAAAQQQ2D4CGREUXX/99Vq5cqWmTp2qypUrB6l77rlH++yzjy699NLw77Vr1+qTTz7RcccdVyaSDop23XVXjR8/vlSvN2bMGC1dulQPPvhgqV6HkyOAAAIIIIBAyQkQFJWcJWdCAAEEEEAAAQQQQAABBBBAAIHSFciIoKh+/fq68sor1b9//y0a//rXv/T5559vCYZ69Oihww47TNdee23pikVnd1C0xx576JFHHimT63ERBBBAAAEEEMgcAYKizBkreooAAggggAACCCCAAAIIIIBArgtkRFDUrFkzffXVV3rppZd04IEHbjVmrrpxiFS3bl0dfPDBcgVSv379VK1aNXXp0iVUH11xxRXq2bOn2rdvr++//z4sYffhhx9q4sSJIfDp06ePnnrqKfXu3Tscu99++4UqJS8vt9tuu+n111/X7bffHv7+wAMPhEBqzZo14dj3339fu+++u4YOHapzzz039O/bb78N51y3bl34+6GHHqr7779f33zzjbp3764pU6aEc952223hHEceeaQGDRqkJ554QnPmzNHs2bNDBdXAgQO1bNmyUC0VtxEjRuiFF15Q1apVtWnTJo0bN077779/uC/f7w8//BCuWaFCBb344ou5/oxz/wgggAACCJS5AEFRmZNzQQQQQAABBBBAAAEEEEAAAQQQ2EaBsgiKjpA0RlJzSXMldZe0NN3+5uXl5U2fPl1t27ZVpUqV1KZNG1122WU6++yzQxASt4MOOigEPHFF0S233KKHH344VPw47PnHP/6hXr16hWDmD3/4QzjMVUEOeB599FFt2LAhLGXn4Mhhkpuv5ZDqxhtvDP/2Mnd33HFHCGV8bJUqVfTkk0+G1xzeOKxyaFSvXr3Qj88++ywEQps3b1ajRo10+eWXhz6++uqrOvXUU8N1TzrppLDXksMn34+Pu/rqq8P53PexY8eGgCoOinw+71v03nvvhSDsqquu0qeffqqZM2dq+PDheuutt/TMM8+EPtnAf2gIIIAAAgggULYCBEVl683VEEAAAQQQQAABBBBAAAEEEEBg2wXKIih6PQqJ4l46LGqRbpcdFPm9b7/9tu688045NPrpp5904okn6rnnnlP16tXDqVIFRQ5PFi1aFF53lc1OO+30q8s6lFm1apVmzZoVfu5qIFcaOWj597//rdq1a4dKIIdMrtw577zzQiWPm4MiB1ATJkwI//7555+17777hoqkm266KVQeudLpkksuCa976Txf669//euWoMjVRT5H3DcHRTNmzAj9iH+WHBS1bt06XMchmJuDqs6dO+vHH38M1/W9uFLJ+yfREEAAAQQQQGD7CBAUbR93rooAAggggAACCCCAAAIIIIAAAkUXKIugKAQ9SS3t68ZBUXz8l19+qXvvvVfDhg0LlUWPPfZYeKmwoMjvcZgzcuRILV68WHvttZf+9re/hdAlXp7N1USu5vniiy80efJkrVy5MlQQuUrIy8y98847oZrHLTko8s+aNGmiY445JvRt7733DtVCtWrVCu/3EnT+u5e3iyuK4qAovrfEoCj+WXJQdNRRR4XQyhVKbl9//bU+/vhjLVy4UB999FG4prM1Vz+5r3Xq1Cn6U8ERCCCAAAIIIFAsAYKiYvFxMAIIIIAAAggggAACCCCAAAIIlKFA2oFNMfpU7IqiVNVAXbt2DZUzy5cvD11LJyjyXkVezs1B0Y477hiWeXMYFAdFDl28/Jz3CXJQNGnSJB1++OGhYmf9+vUheIn3SEoVFHmfoTPPPDPsNeSgaNq0aWH5uuRW3KDotNNOC4FXquZKKFcZjRo1Sp9//rmWLl26JawqxhhyKAIIIIAAAggUQYCgqAhYvBUBBBBAAAEEEEAAAQQQQAABBLarQFkERcXeo8ihkAOexDZkyJCwTNv8+fPDj9MJii6++GLtsMMOYR8it+SgyD+74IILwrJz9evX17hx48Jybg58GjZsuGXvH78vOSjyPkReBs/L43nfIC8pN3jw4C37GyX2vThBUatWrfTLL79sWS4v8byueooriL777rsQann/o44dO27Xh4yLI4AAAgggkGsCBEW5NuLcLwIIIIAAAggggAACCCCAAAKZK1AWQVGxdLz0nKt6/vSnP8kVO26u/DnhhBN0zTXXhD9ufo+rd4YOHRr+fcsttyhxjyL/rGfPnnrttde0YMGCsM9Rhw4d5IAnrijye3wdB0ovv/yyzjjjDL333nshJHIA1L9//y33khwUeQk8v7569eqwP5DDIu8XNGfOHNWrVy8cF1dGFScocqWTK5wcXjk0Sjzv9ddfrxtuuCFUEPn+HBR5v6XmzZsXaww4GAEEEEAAAQSKJkBQVDQv3o0AAggggAACCCCAAAIIIIAAAttPICOCIlfmvPDCC9pjjz3CH1f8OKjxfkLe18fNS7H5fd67p3v37nrooYfCsnReLq53796qUqWKPvjgg1Ax5P2CHDQ5SJkyZYpGjBgRQiM3V+I4kPJ7K1WqFH529NFHa+rUqapbt+6WkXJVkvcb8nu++uqr8L/eT+iwww4L79m4caN69eql6dOnhz67QmnAgAHhXO7T+PHjNXDgwBAouR/uf58+fXTRRReFQMvhju/ZP583b14IoXwfDqGGDx8e+lyxYsVwrCuGevToEe7ZVVD+ma9/8sknh4ooGgIIIIAAAgiUrQBBUdl6czUEEEAAAQQQQAABBBBAAAEEENh2gYwIirb99jgSAQQQQAABBBAoewGCorI354oIIIAAAggggAACCCCAAAIIILBtAgRF2+bGUQgggAACCCCAQL4CBEU8HAgggAACCCCAAAIIIIAAAgggkCkCBEWZMlL0EwEEEEAAAQQyRoCgKGOGio4igAACCCCAAAIIIIAAAgggkPMCBEU5/wgAgAACCCCAAAIlLUBQVNKinA8BBBBAAAEEEEAAAQQQQAABBEpLgKCotGQ5LwIIIIAAAgjkrABBUc4OPTeOAAIIIIAAAggggAACCCCAQMYJEBRl3JDRYQQQQAABBBAo7wIEReV9hOgfAggggAACCCCAAAIIIIAAAgjEAlkVFI0ePVojR47UCSecoAkTJhRrlCdPnqzBgwerefPmxT5XsTrCwQgggAACCCCQcQIERRk3ZHQYAQQQQAABBBBAAAEEEEAAgZwVKPdB0SuvvJLnAGjKlClq2LChqlevro0bN2r9+vVq2rSp7rzzTh100EFbBrBdu3baZZddSiTcKclzFfSE9e3bV/Pnz9cbb7yRsw8iN44AAggggEA2CRAUZdNoci8IIIAAAggggAACCCCAAAIIZLdAuQ+K8vLy8hYvXqzGjRtr2rRpatOmTRiRtWvXhsqhXXfdVUuWLCm1oMjnHz9+fKk+BWPGjNHSpUv14IMPlup1ODkCCCCAAAIIlI0AQVHZOHMVBBBAAAEEEEAAAQQQQAABBBAovkDGBkW+9euuu073339/qDCqVq1a0CjJKiCfa4899tAjjzxSfGnOgAACCCCAAAI5I0BQlDNDzY0igAACCCCAAAIIIIAAAgggkPECGR0Ude3aVVOnTtWXX36pChX+71YSg6InnnhCvXr10u9//3v169dPc+bM0c0336zvvvtOixYtCu//8MMPw3t23HHHUKXUuXNnXX311VvOtWbNmhAWvf/++9p99901dOhQnXvuueH1b7/9Vn369NG6devC3w899NAQXLk66KqrrgrhVZcuXXTPPffoiiuu0Ndff61BgwbJ/XJfZs+eHfo/cOBALVu2TJ988smWB2rEiBF64YUXVLVqVW3atEnjxo3T/vvvrw8++EDXXntt6JPff9ZZZ+mWW27J+AeRG0AAAQQQQCCbBAiKsmk0uRcEEEAAAQQQQAABBBBAAAEEslugLIKiIySNkdRc0lxJ3SUtTZc1v6XnvKdPy5YtNXz48BDGxC25oqhBgwZyoOSgyO3222/Xc889F4KivLw8NWrUSN26dVPPnj1D8HLwwQeHvYKOO+64EDpVqVJFTz75ZDjW4U3//v1DaFSvXr0Q2Hz22Wdh/6TNmzeHc11++eXhWg5vHn744VCN5D2T/vGPf4RAyoGWj3MY5fP59bFjx4Z+xUGRz+d9i957770QNjl0+vTTTzVz5swQUvm+e/TooZ9//jkEV4MHD06Xk/chgAACCCCAQBkIEBSVATKXQAABBBBAAAEEEEAAAQQQQACBEhEoi6Do9SgkijvssKhFur1PDIq8T1HNmjVDBY9DlLZt24YKnSOOcBb1f60oQdHbb7+tJk2ahIBmv/32C8cfcsgh6tSpUwhfks/lYGbfffdV7969ddNNN2m33XaT9xe65JJLwrFXXnmlVq1apb/+9a8hKHKwE1cu/fDDD9ppp51CUDRjxowQ+MQ/Sw6KWrduHa7joMnNQZUrnX788UedeOKJ4X5dYRRXUaVryfsQQAABBBBAoGwECIrKxpmrIIAAAggggAACCCCAAAIIIIBA8QXKIijKS9HNtK+bX0WRQxYHLK7emTRpktq3bx8uU5SgyMu+OWzyMZUqVQrHr1y5Uh06dAgVPan2O3KwdMwxx2jYsGHae++9ddJJJ6lWrVrhWAdY/vtTTz21VVAUGyQGRfHPkoOio446Kiw35wolNy9Z9/HHH2vhwoWhGup3v/ud6tatGyqpXJ3k5eloCCCAAAIIIFB+BAiKys9Y0BMEEEAAAQQQQAABBBBAAAEEEChYIO3AphiQJVZRNG3aNLVp0+ZXXTn66KNVuXLlLZU72xIUbdiwIez5k9xSBUVHHnmkzjzzzFDJ5KAoVZ98nuSKovjc6QZFp512mkaOHJmS3fsqTZgwQaNHjw4VUPPmzSvG8HAoAggggAACCJS0AEFRSYtyPgQQQAABBBBAAAEEEEAAAQQQKC2BsgiKSmWPohjE1T077LCDvGeRW3K4c/jhh+uyyy4Lewu5Je5R5Aod70XkY5s2bbqVcfK5vA9R9erVdeedd4Z9g7z3kJeou/HGG7c6tjhBUatWrfTLL79o1qxZW513zZo1qlOnTvj5ggULQr+9f1Ht2rVL6xnhvAgggAACCCBQRAGCoiKC8XYEEEAAAQQQQAABBBBAAAEEENhuAmURFBXr5vJbes4n9dJxDnMc3Nxwww3hOsnhzumnnx6WZnv22WflPYYcGL355puhAikvL08Okhy8uDKoWrVq4Wde9q1KlSpbneuxxx4Lx69evVq77rprCIsc5syZM0f16tUL14/3HSpOUDR58uSwJ5H75NAo8bzeP2n8+PGhimrJkiVq1qyZ1q9fH/Y/oiGAAAIIIIBA+RAgKCof40AvEEAAAQQQQAABBBBAAAEEEECgcIFyHxS99NJLeaNGjdLzzz+vhg0bhooeV9t89dVXIczxPj3XXHONvKTbgw8+GJZr88979+6tbt266ZVXXpHDlR9//FGnnnpqCFRmzpypO+64IwQ9q1atUteuXbV48eKwv5Cvce+994bwaOLEiWG/Ie9f5Ov5f72f0GGHHRZkN27cqF69emn69Olh6br69etrwIABoY89evTQ8uXLw15H7ov75L716dNHF110kXr27KnmzZvrhRdeCD/38nEOofxeh1DDhw/XiBEjVLFiRR144IHq2LFjOKfvyQHRAQccEAIin69169aFjzTvQAABBBBAAIEyEyAoKjNqLoQAAggggAACCCCAAAIIIIAAAsUUKPdBkSuKinmPHI4AAggggAACCJSpAEFRmXJzMQQQQAABBBBAAAEEEEAAAQQQKIYAQVEx8DgUAQQQQAABBBBIJUBQxHOBAAIIIIAAAggggAACCCCAAAKZIkBQlCkjRT8RQAABBBBAIGMECIoyZqjoKAIIIIAAAggggAACCCCAAAI5L0BQlPOPAAAIIIAAAgggUNICBEUlLcr5EEAAAQQQQAABBBBAAAEEEECgtATKfVBUWjfOeRFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBXBcgKMr1J4D7RwABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgZwVICjK2aHnxhFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCDXBQiKcv0J4P4RQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgZwUIinJ26LlxBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQyHUBgqJcfwK4fwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhZAYKinB16bhwBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRyXYCgKNefAO4fAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEclaAoChnh54bRwABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgVwXICjK9SeA+0cAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIGcFSAoytmh58YRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAg1wUIinL9CeD+EUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIGcFCIpydui5cQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEMh1AYKiXH8CuH8EEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIWQGCopwdem4cAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEcl2AoCjXnwDuHwEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBHJWgKAoZ4eeG0cAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFcFyAoyvUngPtHAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBnBUgKMrZod/uN76zpN9LGiSptaSZJdijMyV1krS/pPMkfVOC5y7Pp9pTUg9JN0nqLmmCpJaS+kg6RNJB5bnzGdq3IyRdK+kqSQdL+kjSNZJ6S5on6bIMva90u53q/tM9lvchgAACCCCAAAIIIIAAAggggAACCCCAQDkQSBUUnSrpL5Iejiady0E36UIWC+SVcFBUS9I/olDkSklPSPpqG/zOlzRWUiNJn23D8dvzkPWS+kVBkfvhIMP/JigqnVFxWLIkISjyVaZI2liGQdEiSS9F4Wvp3GX+Z011/2XdB66HAAIIIIAAAggggAACCCCAAAIIIIAAAtsokCooul/S19FvyNeWtGkbz81hZSNwgqSVkv63bC5X4lcp6aDIFRzXSzqqmD1tJukPktpHnwefLlOsCYqKOfhFPLw8BEUO9udLerSIfS+JtxMUlYQi50AAAQQQQAABBBBAAAEEEEAAAQQQQGA7CSQHRTtIekjSLdESSl62a8Z26huXLVzA4/eupA6Slhb+9nL5DgdF50r6cwn1bmAU7hxdQueLT5NJ1mURFB0q6QxJD5awcyaerjwERdvTjaBoe+pzbQQQQAABBBBAAAEEEEAAAQQQQAABBIopkBwUtZLkfU68XJf311gTTboXdJmmkm6Pqi52lFRX0m+jKpfTJQ2W9B9JVaMlwfzvHyXdKemGaImm4yTVkeTlk26VdGG0t0qVaH+VxyX5Pf6t+WqSlkvyub+VdK+kf0v6XVRF4nOck7AvTUF9GCZpgKSno/O7D+9ES6GtTcPW++z4N/h3ivrl0ONsSTdHYZtDtiGS3pK0i6Q9JH0SLQHWX9LxUeXWwug+3e/vJDmw87Jpfq+b95hJfu1LSXdFy4q9Iumf0d8L6/a+ku6LxsPVYv8Vjd8HUUhoU99TX0nToqXXfhP13/frn98WjfHrkp6S5Nd9zAXR+6ZHz4093DpLulzSF5KqS/K4nhi95vf4Phzs+GeujvLzY/9HomM9Pq7uWRXtv+N9eLwHz7NJN+vruJrIS6zNkfSepL9LekCSnyHbdomeSZt+GoVU9aK9klyNtKsk36efQ1/DPn5fUa1dfeQQJb9reFkyf97s6bGsH/XBwd/IyNTPTLK593LyZ9TLQ34oaS9JP0Te30ceBQVF3kdnYmTt59/Pp8fE4fB/R0uleem+5Obn0Z9Lj+GRkvaT1Dxalm+MpHaSWkTj5M/jxVGQ5H2o/O+akhzi+Zlxc8iU6rWOklzV6M+h79PX+jzac8pjmqr5nvxMV5a0Ofp+6SVpXdSv5PH38+Xzx83Lbf4xOt7Ptu/npOg597KF3SLjEZK8tGH8HeRr+DOUTlDkcbxH0uHRUoi7Rc+yvxsuiu7Ztv4u/VPUsQaS3o8+L36ue0Z7Hz2ThODPncfS3yOXRuPo+/HnzJ+nkyX9HD3T7kOq5u+c/5HUJBqvAyW9Fj2fBfXd520YaBUAACAASURBVEp1/wV973oPLd+n+2p7Pwssi1jYNzevI4AAAggggAACCCCAAAIIIIAAAgggUEoCyUGRJ/s9ge6l5zwp6TDHwYL/nap50tQBhTdvfzJ6w43RJLYn+j2R7WqRV6NJy79Fk49+j5sndT1RPj6arPbrnjj1pKgnaB0COXg5IHr/oCg48CSkJ9d9rCf0PdnoQMDv8/Hu+2PR5HRhfXBQ0TUKEmpEYdW46LyFsXvfFwdlnkB382S7/7g5sPLErcMGN29u70ClZfRvTz47uJgUTWbHk8gOalzV5Yl423kCPr/XPLm6OppMT7eiyD6eJPfEv5v772XWHE647+6XPRxkNI6WtHNg49Aibh63NpIcWpwShTKuMFkRTbB7vP1zj6cDLgc6nkx20OM2OaqC8t8T/R0MuH+eKHeo4ADO+wM5BHD45uZA6eroT6rx8TNis8SKIvfH1/E5HUb9NTp+/8jY53Ho4RDDQZHv3ZP0frYdFHmyfVusvcdRftfw2G+IlrNbFl3PfXbw5pClIHM/p75HBxoVIyN/FhwAuRVWUeTxdhB8WjR28fNpa18/ufn9DiMdHniJw9ZRwOt7c7gRPwMO4RwuXCfpjsjNz1dc9eagxaGcA1ObpnrNz7/Hy8+K91b6JQosHVb4c56qLZD0QsJnz58Xj6fP75Zq/BcnncjPhp8dB1rug9vUqA/+LhsVfRfa3YGUP0P+3hqeZlDkoPEYSWdG92RDf2c6WLehz+Pg8LCE59z9dn9+ip5DB+vx5zbZwePmz6XDFzd/lv29ZAcHdQ5nHNL7c5xqOVH376zoefSz6Xv0/XWKQtKC+p4cFLnP6Xzv2tSfEf83x985NAQQQAABBBBAAAEEEEAAAQQQQAABBBDYDgKJQZEnYj05fUnUj32iaggHB54wTNUclLgixxODntB18+SxJxpdneEJQFfpxM2VIEMl7R79wBObnnh9Lvq3AwRP6LuqwM1L37mqxZPhbskhgMMJ/8a9/9cVMW6uhvAxrgxw4FRYH5L3yPGxnsC/Io3x8G/xO/hxJcU3Se+3jf94nyfbvBn9tr6DN4dcDk9cZeMQzpVHnqS3tZvv3xUwrtBydU5+rzkYK0pQ5GoBh1cOJOKKCk8IHxJV33hy2eGU3+fmoMaBUDpBURyw+Dj7OSxwVYPDJE9Mn5/g4/2DHB64JfvHgWP8DPja9vUYu/n5mZVQmZI8TPkFRQ7uPB6VJPm59yT19gyKXOHhQMJVUHHAE99LYUFR8j07JPQ5HOy6FRYU+T0O9Rz+XBUd4wolj5E/u8nNIYMDiDjE8DPsah0HN3Eo6Gqf+Bnwc+PPugM9B21u/hy4usqVOq4OzO81h3U+ZzxePtbPkv84VEluroJ6O6rIioPIhtFSjA43HCAnni8ef3/3JDZ/T/0r+v7z95DvxeGLwxs3f04d+jrYdXOY7NDLoXU6FUWuqvT3UbyHkJ9BV0o5UHMgHn82fS4Hhx5LP6+uFvJ3gEMif2Y8TqlaqqAo8bPcSJLDMYd9HyedwCYO5l2151A2bvHntLC+J99/Ub93/by4Ko6GAAIIIIAAAggggAACCCCAAAIIIIAAAttBIDEo8m+f+zfOE5dcOzaaXPRkaKrmSXxP1PpPcvOyWz7ek8Jx82/RPy/JFRGezE4OirzknYMLT5S7eaLTIUrcz+QQwMt1ecLbE9gOjNw8wexwwqFHOn1IDiqmRBUlDroKa76uKyjcP/fdlQxers/NIc5H0WS6l5BzxYfDD1dTebLZ4VtcieQJYC/9FIc3XpbKx9vPFTb5veYwryhBkSf7HSg4qEtVJZYcFPk+Cgst4mqSxKAoMahw5YjH3JPHqVqyf/Iz4GDBlUnxpL+rgbxUVbysXfI5CwuK4vcXVO1TFhVFvobDKgcqfoZcHRRX8xRmvne0bJsrsDyOHldXpDh0cEsnKHIo4PDFoY+fIy9B59AqVfN7vbSjP2/xs+1QxeGGQ5pUz4CXj3Po/HJ0jMMIf15cfehwOL/XbJEcFLmyyKFJquXJ/Bny0oReDi4Oufws2sWv+fOcfL78PtcOzjwuXprOpg5qHex4eT+Hu+6bAzI3V1P67x6rwoIif9+5Esuhkyuf4mY7B8i+Pzd/Vvz5dMjt8NzXd+jqPcj8GWqbTzWQjy0sKCpoHyEHpv7ecjDv6yS2dPqefO5t+d7Nb0z4OQIIIIAAAggggAACCCCAAAIIIIAAAgiUskBiUOTJVv+Wv3+zPG6eSPZvuzu0cDVAcvNEt5fy8hJlqV7z0k8OO+LmiUhPgHpPFE+8lnZQ5P4V1ofiBEW+Ly+j5QDIk72ecPekaTyZ7OW9PBnsyoGXIl9Pdnsi1RPbrrhxc1DkSWovT5fcCnqtqMuheYLe+5u4z64SSG6lERS52sVhgSu7UrXCgiI/o17Gyv12pYcn5uOlC1OdL5OCIvffexm5es1BjMMe79tTWFDk8NTBg5d6c7OxA7aiBEWuznEFjsOLuDLPlVqpmj9DfpYd1rkqxUs7+nn3/kFeFi2/oMghX+ISgPG5HSLl95rfU5SgKH6mvaRavGScg1Avt+bXXLmXblDkCj8HiA7PvPyjl3nzeeKgyBVXcfVjolNhQZG/77y8nIPvPycc6OrHuZGnf+xqOYfprlzyc+FKwtHRd4qruuKKw1RjVJygKO6fqwddvZTY0ul78v1vy/duPo8eP0YAAQQQQAABBBBAAAEEEEAAAQQQQACB0haIgyJPrHpfGO8HlNjiIKK/pLtTdMZBkn/73b9dn7xklUMPVwH4t9Xj5glmv9+VEG6lHRSl04fiBEVeriquIKoaLV1lk3j5NG9271DDy195Atj7k7wY/XFFhSeh3Tx57OX14v2LEqkLeq2oQVG8/JSXcvMEdXJLFRRdJGmCJN9f3FLtUZRfRZGX8vNrrgJK1QoLinyMN753kGJX/4mXrUt1vnSDIk/A2897KLmVxh5FBV3jxyiAcIjo5s+Y92nxMoCFmTtAcHAQL2O2LUGRr+lnwBVprmBztUrycmyJvq6A8/PuazuQcajhqiK3VEGRl0rzWLgixWFSYivoNb+vKEGRgygHLvFeUj7eAZafkXiJxXSDIj+nHg/bOuCOlz/0OV1p9D8Jy/sl3k9hQZHf68og37erMN383euwz892vNybl3pzVaGDVYdCDu39HlfUOVxLrEZKfvaLExTF/XNFpPuT3Arre/L9b8v3borL8iMEEEAAAQQQQAABBBBAAAEEEEAAAQQQKAuBOCjyMmv+rXlXDyW3JdEeOw4ZkpuXwPLyaq708NJinkx185JJnnT1JLSXcfL+JVWifWVcOeON491KOyjyb8MX1oeCgiJPOHupM0+Kj0xx//ZygOYKIt+fJ8693FUcwjhA87Jz3svIk+Zefsv/9sR2HFD4tF5aynsSuWIhrjiI9+0o6DXvDeWJ7d9EFUtets/j5T1OXE2RqrkyxKGUw4h4r5L4WqmCIodKXnLLFQ7zo7DAFT6uPvASf4UtPXdWFIx54tsVVN6vyP20u/fpSScocniyXNKCqEKsoM9GukGRl1n0/jwOEzwRbg+HUHHg1UDSPxMCiGRr98GT/idHS7ClqtAq6Bo2t3e87JhDVFfcOVArzNxj/EZUoeZqP//dVWpFqShy/10xMyIKnBxq5tdc4XRXFPw69PGYOTDyflfefyvVM+B+uWLJe+146Tq/z98LDsgKes19KEpQ5Pd7+TZX7N0c3YDv6XhJzaJ/pxsU+e1+Bvyd5e9EL1sXN1cYOcj1vkzxXkjx5yadoMhj48osL+NpC4+1q8AcVrq6Mm5+5vxvB5durqRzwOznLzlwSxyv4gZF/o5zUOnvIH9HeIzj+yus78n3vy3fuw7nvCyhw7JEj4I+67yGAAIIIIAAAggggAACCCCAAAIIIIAAAiUg4KDIv+XuJee814+XXUpcWsmTww4+PJnpSU1PRjssSGyeaPdSQ15+zsvTeaLTQdB7kk6LJsM9ie5QyQGJ9+rxxuWemHb44slYVxk5DPBv7DvE8MSyqyQ88ds+6qOXxfL1D4/e7wlUL9Pl8/j6nuj05Outkj6IlnPyMlkF9cETkz6nJ1ld+eMJT08ye0LWk+i+H4c+npiPN7VPvHcHDX6fAyIvfeXf/PdeL4nNk9QOA3w/bq4ecNXAYwlv8ji4+srLs3kS2efzhLX7VtBrPoWXDPREsifLXQExNZqQ9tJ2qZoncR+IJr1dBeZxcuWLx9/X8zJkrizw2NjB4+FqM9+/XX09j68nk+OKKS/Z5TH0+PlZcnj2l2j/HRt6DP36ftE+LB4X28dBRezvcMb+vqaDpcSqJ+/V5GfToVt+zSGLX/deOq62sbGXWPP+Pw7zbO/9odxqR0GXnzsHUPbz8+T32sH35v75M2EvOyVaO8BzOOpn1ftwOTRJbgVdwxVENvJnwcuSeTlAV2J4r62CzL3cnPcGcj8dtNnEe/846PXz45DJ9+FA1pYOMN1P99GhjQ3iQNfXdODj8MP3n1+zkYOYA5Pe4Oo4P3N+XvwM2N6BSlxp5ADTz5GfOVfeeQw97g4h8nvNwaIDOO+V5u8Kh3g+v4NKP1txtV5iV/z95DHyXl4OIb+PPv8Osb3cW6rxz+9eHQb5efQykh6buPnz7aoef8e4EtD7CTlA8dj5WfHz6u8h//Fz6LH058f3/3AUujhY9nfMN9E+YX52PE6JzeGh95jyedwc3PiPK+rya97nyn3wd4f76GB+XPSd6u8VL1Xo7yW/z59Nf9cl7/FlN3/f+vlyQOTn0N+5/kz73/n13feTfP8OdQv63rWNn01/njxu/pw74PWz4XCeoKiAweYlBBBAAAEEEEAAAQQQQAABBBBAAAEESlogcY+ikj53tpzPIYcDDAdQmdA8we2Jbk/+Z1PzZL+DDk/+l6fm8MPBgCf/M7E5DEi15GHivXhvIgcODsfi5ufLIYdDubjCJhPvP7nPrgJ0qOJ9o2gIIIAAAggggAACCCCAAAIIIIAAAggggEDWCxAUFTzEDgA6RRVBmRAEeNLeFQmurnIFTLY0V8V4n6TEPWO29725YsuBgitxXHGVic3VgK64SbUvTeL9uHLI/g4g4+ZA0tVI/l/vo5MtzdUui/LZwytb7pH7QAABBBBAAAEEEEAAAQQQQAABBBBAAAEEtggQFBX8MHjZMu9xlLxMU3l9hLzU2VdJS2aV176m0y9P2nvpLgcyrl7xflHlpTko8nJk3iMqk5qXj/tvSS9Ee4t5ybTClvrycoaunHJFl5v32vJycK60OzuTbj6fvrpq0Ptwefk1L4mW3/5eWXCr3AICCCCAAAIIIIAAAggggAACCCCAAAIIIPBrAYIinojyLBDv1/N4ir2fynO/y3PfHBQti5aLGxDtQ1NYfw+IArs4MPWeQ95vbHAGL7mXeM+XRHsCeR8x7wXkcJiGAAIIIIAAAggggAACCCCAAAIIIIAAAgjkhABBUU4MMzeJAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCGwtQFDEU4EAAggggAACCCCAAAIIIIAAAggggAACCCCAAAII5KhASQVFZ0rqJGl/SeeVwHJULSX1kXSIpINydGy47dIXSH7O9pTUQ9JNkrpLmlD6XdhuV+gpqVm0n9UV260XZX/hIyRdK+kqSQdL+kjSNZK8H9Y8SZeVfZfCFct6PM6Q9D+SdpDUZDvdc2lclv92lIYq50QAAQQQQAABBBBAAAEEEEAAAQQQyGqBVEHRqZL+IunhaNK8MIBa0X4lDnSulPSEpK8KOOgeScdLOrGQE3sytx9BUWH8vF5MgVTP2fro2cvWoOgCSd0keVL9lujPtjCeL2mspEaSPtuWE2ynYxwWLUkIityNKZI2bqegqKTGo6icHvtzyzgoqibpE0lrJTUsaofTfD//7UgTirchgAACCCCAAAIIIIAAAggggAACCCBggVRB0f2Svo5+4762pE2FUPk38K+XdFSapK7U8EStKzcKakz2pQlaTt/mZ6u1pOfLaf/ibuViUOQAzJ/xXsUcG1ck/UFS++h8Pl0bSc8V87ylfXh5C4pSjccJklZK+t8SxEg+5/YIijpIqi/pNkn/Hf2SQQneYjgV/+0oaVHOhwACCCCAAAIIIIAAAggggAACCCCQ1QLJQZGXIXooqjDwkkxeRm5GIQIDo4nio0tYism+EgYt49NdGD0X7cr4ukW9XFkERZUldZE0R9IHRe1gKbzfFYP/jJZbK8nTe+nJ+dESlCV53pI+V3kLipLHw9/L70pyqLK0hG4+1TkdFLWSdGwJXSOd04yPKk/fjwLFvukcVMT38N+OIoLxdgQQQAABBBBAAAEEEEAAAQQQQACB3BZIDoo8aeh9Wrx8nPfrWBNN9uen1DmqJvKyc54Ef0/S7yXdEC1rtS5aXsh7YTwb/Qb5sOhnnlTeS9IYSQ4TWkTVCf+WdHHSb4V7Obw/SvKEu38T3cecFP3dy9x5Ga0vkzrp0MvX9f4bPueBkl6TFE9Mek8QX+fzqB/+rX7/2VvS49EE6iNR33aSNE3SM9GE/8nRb/q73/+QdGd0z16+6jhJdSQtknSrJAcmXuKrSrTvks/ttrMkL8N3eLRU327R3jhvRU6+Xx/jqgJf7+fofD4mneax9L3axb/BPyjq8yhJh0q6I+p3nqQGkjxx63appMGSno7+t64kV5n9KMkVZu6/lxtz8zJSIyR5+UH/fXlUpXJKdIzvaaGk4ZLmFtDpSpJulzQgmrS23eVRYGlzL0For0cleSx8Lff77Ki/7t/Q6Dp+VuxeNWFJrfyeR3epsKDoakk2+3tk+JIkP/eeZJ8YPbPJt+bxf0DSt5L2jcb4z5K6Rs+TX7Pjd9Hz9NtonFNZxhV93rPrnOgYP9te5vEbSU9J+k1k4yXMdpE0Pfrc2ii5+fPn0MrHevk1j7P36rG/x95+3r+mo6QHJX0aLU9WL7p/VxDuGo2HnV0h+F/RRXxfp0maJenFhOckv6H39QobO3+f+HmypZ9j74fmZ7KgvnkJOd+Hn4lVUf9ejvrvvhQWFG3L902qz5vH3C2/7xq/ljwersY6JnouX4kCPT+j+X3WfC8O9+3jz4c/849Fz1/s7s/OXSnO6We4raSZki6SVCP6XrCbW36GrgTalu8n/7dlSLQnlK/hZ8n/Hfgl4QHxz/xMLJa0Y7T0qMNVV6A6PCvs9VSf6fzs/NnyPnj+fPu/Ee6LP992oSGAAAIIIIAAAggggAACCCCAAAIIIJAzAslBkScaPSHtZak8uekAxBPd/nd+zQGEA5PEiiJP7npicnM0OelzeqLZzRPvPsaTcm6eBHbI5MlrBznXRddOnsB35ZKPqxlNivrYqdH5vd9FcvP1z5Lk5ZY8Ie+Qyb/N3imacPdEvUOaL6K+LIuCI09yN5f0ehRaOPzyfkr+rX/fl43c/G//tv/von/7Xj1J62tUl/Q3SQ59vCyfw6x7o2DjgOj97p8nhD3x7YlSL9P2ZDQJ7j55stIhk/viScybouDGQUBhywFWlLQhunffl4Mgj49DBe9J4uXg9pPkIM8u/l//3P31M+EJak8S++/vRPtVOQTwmK2OPBZEE6x+Pjz+Po/f6/t3MOTQzX1Nt6LI53E/XN3goMhtdjRh7KDIf5pGJn4tcW8dh1wO9XxdNz8nXgLNIaFbQc9jYUFRPNYOqBzYufleX43GJsWjF54NPzd+7m1oKz9PfhbcfKxDHD/Tfrb+GoVI+VnaMA4VHQg4GPD4ecziz4/DvxVRgOrz++d+BlM1u/rZ7Z3wovvjCXOHgO63Qy3/3WPu67jFnwsHRQ5j/Fy5MslBkQNNT+J7DPz8p9sKGjuPnysaHbz58+XvCE/kO8AurG/+PHkvHAe5cTDkz56PLSwoct+L8n1T0OfN4V5B3zW+VvJ4OHj35+zIhIoij01+z4c/Cw7LPWYel8ZR2JI4BqnOGX/HOKT394XH3d9Lu0ffsQUZbsv3k/tnf38+fG8Ofvwd7RAvsTkk8rg7sHYo6u8tP2Px8qaFvZ78mS7IziGZv/MdPDqw9neFf8GAhgACCCCAAAIIIIAAAggggAACCCCAQM4IJAZF/q1zT7ZfEt39PlE1gScgPfmfX0sVFCW+15Pcrrzw+d3yC4riyWdPyP+QotLDk8X/ivo3Oapq8ASif5M/uXnCz+GM90+5L+FFTzR6ctJByX+i0Ch+2ZUr/g12V3fEE+L+DXiHNG4OMW6WNC76t6s/GkUVFP6RJ7J9r/H+LO6jJ99dmeHmZfxcleRJZTdf38FBHDx5LFzd5Eofh0rJ+4f4Wp4gdWXUx4U8obZ2oODKF9snNk+8+jqehPXkqCeyPSnr3+L3RLGDGlemeKLcQZZDG4cFrixx82/3+5yeTHWA6IqSSdFrtnEgeHopBEWuvHBllie1XQ2T2AoLihLfm/w8phMUufLFFRR+Bu3gyW2HVqkmlD2+DiZt/6fowg41HKo4vHFzkGNXh19+Vj32fl7zs/T4fBaFAT7ez5TDBz+vrqxz0Bp/fvy6J/0duLrPqVp+QZGDAU+cx5/BwsKY0g6KXCnlz4xDzuQl+wrrW+J9O7hy+Hp8FIamExQV5fumoM9bYd817mc6QVFBn7Xk74p4/BIN8guKHALGgaqra1wV6NAx2TvZcFu+n1y95v++xEG3Q2x/DvxZSWz+nnN1pqvc3PxZ85KG8Z5Ghb2e/JkuyO7NKIxzhV6qCrx8PkL8GAEEEEAAAQQQQAABBBBAAAEEEEAAgewRSAyKXL3i8CCxOsehgSflPPGfX0sVFDkU8VJGnvz2slZeysqTl26FBUXxdVJN4LvSxb8x7zDHk/eeKI+DlsT+Odjwb667H56oTW6eoPSyUP0TXnDFhiemPYmcKihydYInLuNl11w54QnWePI/OSjy8n2uPPHydm6ekPWEv829xJM3qXfI9UJCH96W5IlL33vyRGyqye2CnkT/Fr2Xa3KVlpfqc6gWN5t5+S5XDXmZKo+T++mKCy/t58l598WBkZcM9KStl75z8/JfDsEcHnpZO5/fIZqbl6Dz332ukq4oOiy6lv1s6/HyGLsVFhQV9DymExR5GTuHaw4KHeI9HAV6XtYsuTko8jJ9XjrP/XSzscfcQYxbYlDkf3sJxoIsHW464HPFlpuX9PNY+fPpSfTkoGh9FEJ5DFK1woKi+JjCwpjSDoocwPj5csDrZ3JkFBi4f4X1zce4Ysqhs8fkKknNouPTCYp8jXS/b/ze/D5vhX3X+NjCgqLCno/k74pUY55OUOTPtqvS/FnzZ6ogw6J+P7kayhWLrkCLm0Nl/9y/lOBwNW7JQZCXA/Uz7WXyXEVa2OuJn+nC7LwPlAPVD6P/lngcE/uSz0eIHyOAAAIIIIAAAggggAACCCCAAAIIIJA9AolBkX/b2yGOQ4O4uSrBE+OelI4rSpLvPjkocnjisMO/le7JN1dweMK8JIIiT757gtiTi15+y78FHlf8JPYr/u13Lz/m/VqSm5fd8nJD3rsmbq4QcqDlJZFKOyiK++fwKN7HxP3wMlney8fL/hV1IjbVU+ll966IlsdzsOVlldxcEeOAyhO1XmrKgZmXunLo5eXzHKy4xUFRYmVVfJ14Avb8hCqqxD6UdFDkc+8RVdN4ItiTy57wdzBV2PJlBT2P6QRFvrYreDyBblM/U6kq2eL7t+330bPv5fe8F5BDpnh/qvyCovwsHRQ5tEhcKi6+Vrz0XGJFUbYERb5HB2QO2Bz0+PPpz4w/uwUFRQ5tHSK6Ys/Vb/HnrahBUbrfN/FYpPq8FfZd42PTDYryez5KIyj6qBDDon4/9ZLkcyYG93GVpCvkHD7HLTkIisfPvyDgsL2w11MFRfnZ+ZoOzb1s4jVRJZXHkYYAAggggAACCCCAAAIIIIAAAggggEDOCMRBkfek8DJZZyfdefxb6A4S7s5HJTkoctjk/XS8dJNbSQZFngx3ZYfP72qKeFm3VF3z8luuOomXL0p8j5eHc2WSq5Li5soZVx54QrG0gyJf0/1zUOXl/tw8Fq4ycn+9XF5RJ2IT78+T6w5ybOXm8fP+IF5ays3LnTlgcYWKf5vek+lvREu6+Wc3Ru+zsffXiZfsSna2oZdf815Wya2oQZH3nnJ/XSHja7ol7lHk5ymuIHKFj5chdJDpfZ28H5Cv59DLLXGPosKex3SDIocU3kvF77efl+rLr9nZE+Lul6uLfJyriuKWHBT55wVZOkz0s+ml95JbaQZFoyX5O8DLE7qVxh5FBY2dw0AH1/FSZQ7gXNnngLigvrmi0JUrrpBx1de2BkXpft8U9Hkr7Lsmfs4T94xKVf1T0PNRGkGR+1WQYVG/n7wPl0M+B6iJzeGRq64Sg9fkIMi/fLAwodKpsNeTP9MF2SV+rxwXVT15/69U+94V8JHnJQQQQAABBBBAAAEEEEAAAQQQQAABBDJXIA6K/NvUDhZcPZTcXA3xS7QfT6o7TQ6KvDyQJ++9+bgn27zXjYOdkqgo8vV9bv9mufvsJdHya0OjcMTBz7xo/4l47w4HYg5HDo/2LvFkoScrvfyeN1ovi6DIexE5FPGyfvZ1FY8rrzxJ7GXICpuIdcB0crT8nfc7SmyeGPfxnjB1c4WSz++wI25ejs6GDmi854+XqfOyS4lBjZ8PT+Q7oLGj9z3yzzwx/lNU1eXwwkvYxcuwxcaeyPfeMvFv57tSy5PFHhcvIZbcHL54ySdX3jh4chWTK0dej5ZR87PpsNIBV5UoKPJ4uQLL5/WxfvZ8HgdGrh7xBHNhz2O6QZGDGu8N5fDAQVAcwiXfh3086e8+uQrIzcufeXLb+wy5pQqKXCGXn6WXx3I1kscgrkCLnUszKPJSlK7k8Tg62PRykv78xdVLyUvP+XUHj15mz8+Ul17094c/Ww6MU7WCxi4+Jv6cO8x11Z3D1IL6ZhuHrg6SveSin0+PRVEritzfsHV0HwAAIABJREFUdL5vCvq8FfZd42skVxTFoamXwnwpQivo+UgnKEp1zuTjEpeec1VaQYaFfT8ljrW/0xx+x5WKia89EFWy1o6+i/1achDk6jF/5k6LDizs9eTPdEF2/u+AK8dchebvKFcfejwdRvvZ9ffYkHyeXX6MAAIIIIAAAggggAACCCCAAAIIIIBAVgh4UttVLa668N4UnpDzb8DHzRPunoz3RJ9DjAcT9gjxexw8DIt+c9/73rhqwsvNeULXYYuXBPPf/R7/cWDj5bMcHvjcrgLxhKMn6vy6J/RcKeIKBi8b5d/wdmjgSUb/VribJ9M9+etqA0/A59c8Se3QoUsUUrkvDh5cAePm8MQT8N7k3kvZecLQQYmrq1yJ5OPcJ4cTrsb5QxRK+H8dqvk83pPH5/HSfA4/PKHtPX48qenXHS74/Q4O3Jf2kbeXgfNktsMPL5/mSXVf1+/1hLYn4MdF5+kXLbfkyUqHOe6PK37s5vfbyL9tn9i83JkDL/v4/rxkm91tEDcHDJ5QjSfjPbnvDeO9HF1i878dSjkscEjjSX+PjcMjX8eVNZ4A9hKAK6O9e7xnjsff+8o4ULGNJ7wd6njyNb9l23yvvicHZf+vvfuAtqWpqr4/hwHFgArmDBhBRRAVxYygohJERUQwIC+Kii9GMCEYMANiQgwYEBUVA+aAqCAIRswJs5hQxBzf8eOr4mvbnU6859w71xh3PPee3bu76l+r6jxjzV5rEUTeYnBREkopQ5kk/MNzn7wI4AogWz89qzzbvGUvPGAILLv8celnxBi+qESfdVCOUBB/Gl/EQQB/l/Ebz16aTAp+bexEOiz59WPHRbtY2qfY3H+IihgQMIwXf2Pmd3zOXuYj1p+/rEtGfuRgTPh5/PB15QnNVflJgXvrxATvnzj8UJaXIDo2xu8sUE7Mmjg3fM9a6ynEl50j9gYhiPj40luA7Vo7goBnEZxlFTkDjN9/d42Nv8z9grNgP4HSmlpDAum9x363551j9gfxk6/qQTXtkPNm337bdtZ4xqb1+PuxFrcdzJ1TeoRt2msEHWthfzi3jN88Npn1nfecmYDOKr5lvfwMB/fwe+HBw4fWDLF1hs3vKge3Pp/+ewzA2eD+ziB7dGb9+dgZ6w8Bj3jqd4jfM9bdejuvZIc5W5zBzgW26/NNvzt8Z9s5Za0JRERgApF9YD76Ik2haFNW6p4joB+XQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUwOUhsOxRdFlGTZwRlBTcvtZNc3hBbkLTZTBCGRFMAPoymoC9bCpZM7uM+CPYPgU8oqC+RjI07nEZJ36CMRN0Z1bPCW5zxb7a8+b80ROC9CzaVNLSaPZ9fv4j7hNLoARKoARKoARKoARKoARKoARKoARKoARK4BITuIxCkTfen7nIerjE+I89dNkZxDIZHnpLXQYjaBFJZDFdFmFrzZVAJGNHmbttpp+TTDmC2NJkxsiykO1yrZhSZjLfZPMoYXgZrefN+a/aurTcegT7Pj//EfeJJVACJVACJVACJVACJVACJVACJVACJVACJXCJCVwWoUgmipJWyskpDbSt38klXoojDZ1QpNzVtj45R7rZOV18oyTPHmLJOT3yVB4zS3HdLsmtRwnBXTd+s1Gu7oajp5NrlejSa0m/pFnW7VQGd8Fvojzcc/eUiLyIU+h5c2VXZZ8QtO/zKzv6Pr0ESqAESqAESqAESqAESqAESqAESqAESqAELhmByyIU3X30E9Hr555DcLhkqDvcS0pA3yz9jgiVegHt6os1pyjrSG8v/aGul+Q6ozeLPk21i0+g582VWyM9r5Sc04dLbym92pa27/MrN/I+uQRKoARKoARKoARKoARKoARKoARKoARKoAQuKYHLIhRdUrwddgmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAlcXAIVii7u2nRkJVACJVACJVACJVACJVACJVACJVACJVACJVACJVACJVACJXCmBE4qFN03iR4uT03yIWc60qvj5h85eP1ikg844ymt1+ZNknx0kvsk0T/nD874+fP2L5XkwUlef/Tu+bJzeu5ZP+Zdk3xWkhdPcsszethps3uFJB+V5FOT8MXHnNG4T+u2pzVe/v4pSV43yTeOXlPnvQ9Oi0nvUwIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAKnSmCTUPTOSX44yaNHUHnfA78jyT9UKNqH6YWff3OSFzsHocgD12tDLHrWOQtFX5rkT5M8PMn9k3zewaT+54XPTKLHj4D/edidk3xVkpslec6WB37m6F90VkLRUdkdyuivk3zCJRCKJvaTjveXk+ht859JXnWIpOe9D87DZ/uMEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBEjgygU1CkeD034/Mk1dP8u977lqh6GjYrzWhSObSxyX5rqNh+l9XEy6fluRrxyd8972TfO8J77vt62+T5DOS3HXsB9e9bZLfTfKX40tnLRQdld2a0ba5nVR4OSPkL7itM+c1k/zc4iEnGa8somcnuUGS5457XgnB9CyZ9d4lUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlcGwCa6FIGa1HJREAF6S+Y5Lv23P3sxaKZN/cK8mTkvz2sWd6cb6o9NV1rqGMon8dYst3n/ISvN+47/ue8n233c5e+ZUkd0vyq+Mi++Q9k7zlGY3hrNidRHjZNNXT3KNfnuQ3kixLFJ5kvAQ/pTGVsfu7CkVn5Km9bQmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUwKUlsBaKBL0FVGW9CK7+8QjG75rgWijSD+QRo7zafyQR7L5fkj9P8oFJZCwpBeU5b5rkL5LcYwhBnvNaSR6Z5B9HmaibJPn+JB9+IGWlpTxffxfZUHrjfPaYiyC0MmjvleTGST5tlMx72XEdkcxzZa18fJKfGNe+UpIHjXG9cpJPHiLaB40sFyXVbp/kn0bPGmWu/mSM9zZJPmcEqZ83+tk84wChSPD9a5J8cJJvH9ktvzf6y+gzo8fMdybRK0c5NkFwY3tgkp8ezz6k9JzxfXoSY8NM/yT/tj4PG+NUNu6LBjsZH0oNyjp7+8HQ3z9mVaLtNcZYPyKJ+Vr/Lx59kog7vitjx3N/P8kDhuCifNqHDrHy8aNE2vskeei4D+a3HX50vfEzY/uZHf7BJ44yFwLQZMx/+MwXjLHzCUKGfk+uu0uSJyZ5/yT8RGm9z90yFmUdfWYd3fdHB7/15ZvYYWU/KguJ1/WT/MvYn/+cZM3o5kP0Xfrz1w0fXgov1oco8wtjLMr78Tlz+6axRuvx7dujNxrrY+/zl28YZfz27X8+jbP5yQLS94xfr4Wibfdfj/PWY2/Ymz8wzgOcnCnr0nPfluS6SbB0f2fSb4558G1Cp31BJLzT6E/15OEHu848vu48w8D5QPS+wzgDDzzSelkJlEAJlEAJlEAJlEAJlEAJlEAJlEAJlEAJlEAJnB2BtVBEICF6zMD/5w+xxr+32VqMUDJKUFagmREH3i7JW49//+QIlAu0/1eSJ4wArSA6Ewj/9TEO43M/wofyZYfY00cQlljDPFdWAbFDzxllrQhFzLjcm1BE/DDmew9Ryr8F281dgJ2wJHjNXCMriPAkEGyOgs+C8sQmgX7PINzIzBJ4J3qwo5See8khvhC+CFXszZMI7vvjOUqhmePMdiGIGKux7BOKjE9Q3litizkJfv/UEMOIRVPIE0hnAuY/m4RvzPkQeaYwtl4jYiFGM6PonYYoKGDuOR87hDRCkswcQhH7sSS/NIQi//7WJO5FKGKPSfIy497rZ27691Hn8kZDECLoYDxLmBE3lxlFMpuIXn87fJbQ8XKD/3ocSuXhRIyb5c9eewhAm8a8ZkeIwvIrk7zI8A2CJkFnE6NN/kyoXQsv9hxfe8dxHyIlf7A/NtmuPWrPEoKVwSOQ2G/2DdHGXt63/+0Xwt+2jKJ991+Pd+7xfRlFhLiHjC/bNwRMPup5hD37goDJsLcHzMkaHXLm/fcQcX3nx4dvH+K3vaYESqAESqAESqAESqAESqAESqAESqAESqAESqAEzpTAUijyNr0MlruPJ77KyKQginz9jlEsxYhbJPn5JK83gqu+dtMRWH+LkbUgUEwM+IRxT0KBP97iF4D11j1hZQoTxB1BewLDPrvlyDAhpghWM0HvNxji0yFCEdHEfZjgOUYySr5ikf1BxBCwl+2gNN9zhnjkO7ImZA+8xBC3zPPVkggUs6MIRa63JoSINxzfl5Hyg0PgIhIQjIgZTPaGsb7D+HyfUER8IwzKEJkmk8YziB1MtowsC4LIyyf5syS/NUQ0pQq/Z2RTbVubbULRFOcwdt+zFoqOOpdDhaKlv/AzbKzVvjKJr5jkr5LcKglxc5Ot2a2vIVgRiaZotxbT1j2UsJaFtBaKiG9KIvID/nO7IT5+1oZB7duj9rn9TSByL4aFcbrfrv3v2n1C0b77r4d8qFC0/B6Ritj6HuOHMggJSfYx4Rgf55FMvqOeeS86zhRrWyuBEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBK05gKRQRApRWIgRMk+Ehq0N5sm22FCPcQ5m0lx6Cj+8QBARXfebadaBYZhExRcaGILRyVd7cJ6gw2TwyKWRj7DMBbwFpIsemLKijCkXzebJ0lBaT/SGALECsLBaTyUMwmcKUcmiuw04m0JsNMWDe66hCEdFHNsMU2mQjKDdHeJIdQthTwowJQr9xkvuObJ19QpGMKON8qwVYnL93MCcoKMGFmzXQn4cIKIOIkEJYuNnIqNq2NvuEIt9TGu48hKKjzOU4QhE2vzPWQNmytfGF/zvEGr5+n5Ht9rQt8NbsbjB8T3YM/+bvsm+Uu2P7hKL5mLVQpOSgzDFZa18ysoHcUybN2vbtUaXdlETke/85vozL44af7Nr/Lt8nFO27/3q8hwhF9o11ITA/d2RWEX/ffdyM78sEc41sLnsYK3yOc+btO8f6eQmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmcG4GlUETgkZ0iUDpNpo/AMeFjZgesB7cUI2TZKLGmJJjSZ4xoI/PGZwLI+wLFytbJYHG9++glIigrS2efzefLUFE6am3HFYpkiAj833GIPsY4e+IQivStEURem/JoskzedvHBUYUia6Q8HK6C7R8wysK5JaGIkCTAvcn2CUUyJ5StIxZNM0dl4mS8/E0SwhcRgShBKCJMKQ1oPVyj7N4f7liYiyQUHWUupy0UyebRY0gWFzFzZhQpi3ioUCR77S9HSTTIZRTxp5MKRe5lPYmMfFWWmH5l22zXHp1CzrLU2/I++/b/oULRtvuvx3yIUCQzTw80+4hQbV8Qt6ZQ5J7fMsRRJTIxn8L1cc68fedYPy+BEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBcyMwhSJijlJvy8CoQcy+LJ+U5Au3jGopRgi06r8y+7r4ip4uxJRZDm5foJiwIqOFGCFoK1tGVtEhJrtFBpRSbVPIWX5P+Thz0tyebepRtCwltvwuMUjZLtlDt1188P0jE2qWqVp+R6ktAWi9hPRjYkcVinzns5PccwSrBazxZJ84yuHJePi3DYD2CUXELdlcyoRN+5jRq0Ugftp3jfJwevXo/fQ5Se6c5NdGRsWutTlEKNIriRhFtNLvhZ12j6KjzuW0haJ5v1mW8ThCkSyXT02ilxg7TaFIlpq9JsNPhg0Rcpvt2qNER2u4raTevv2/Tyjad//1mA8RimRi/fvInvP9TULRzOzTe0lW3yyNeZwzb9d+6WclUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlcK4EplCkjNr1R/bQegAyeogcRJhNthYjNHn/kZEF5Hpl2wSNZU6wXYFi4xH8FoglzDDiDPFHkFy/IeMhUHiTf5M9dQg3SsX90bhg9mZRWk+5L8Hdvx3l5Agvs1/OuqfL8v6zxJTsA1lW02TZyMYgnBCN2HzeTcZ8ZGY9coyL6GJOMoOIaOaqJ9DDd6z87H0jAE9MmSbTS/krPWr0ULFOeiMR2Ng+oYhY8ewkd0jypCTXGb2NsH/g4jl3HWXNCGQEHPOyBnq3fMGOcfvoEKGIMKE3lcwxcyFSzT5Ms5fVuqwa0c86zmytQ1keOpe1UDTFrHcb/m1ua3/ZVXoOa9lAeliZi8wUnI+SUcT3nzIy/6y9vysfeBoZRUrK2S/2An8j3G2yfXvU50Re2VP2hMxCPyOwEjP3CUW+K6NNecdpy1J5++6/HvMhQpG9SQhSgtEekLnnrFkL584mvdsIv0th9qhnHrFPeUilCGXt1UqgBEqgBEqgBEqgBEqgBEqgBEqgBEqgBEqgBErgihEQdJWVouSc3ipKswnSTiMCEEhk4ciEEZRelsn6qFFyTdCU0OFte9cKvAoMC7YqIydLRaaAIPvXjD5IBBdijdJlgv3GQLR56OiBs4TiHrKA9OohrBBL9EHaZALyni/Dh/gg8ExUINC8epInjkA40UWAV0Ba3xF/zE+ZOWMyn2Uw2HwwumUSgetpGBIz7j+EGmXYzMO9GCGJACIAP4UrvX2wk30l84kAsKvUl/s8fawNPkvD1FjNW3DedYLQ/sgYmmtjrvdLcu+RMSFr4reSvMsQPJTq0wPHmKwNMWuaHjbGSECYfWeId8qMKYu3yYhlDx7+Zc2esOhToweVeTxqUbYOQ2KXwDnBTU8mmW7mcdMxdkKYTBdrRQBwT4KG+RMnD2F5yFzm82RP2RP8iR8pz0gsw1K2GFELE2O3b/wMc+Oxr4hkS5OJZd31Y+KTBEJiEaHWXpi2iZ3r7zTmbg08T6k4Au+9huBkfScjLNb+bM/IGOLznkvEJfxNMx/iG5/aZbv2KCFIHy/73L3Mlaio5B6Bcd/+xw9HPb/4D5F5Pd5t9+f/SyPcEdHuMrISCaeuWe8D/b6cD6+WhNBsDxOi7Wmi0TTsbjTmsnzOrjNPhiJ/xUHPsseOLEB+TdysULTH2fpxCZRACZRACZRACZRACZRACZRACZRACZRACZTA2RJY9ig62ycdfneBVIH2Z4yvCJrrmSIb4x7jjf6ZkXH4XS/ulTJcZK8Iiu8ywWaBfIJbbTOBQ1mW32YCRE2C6DfuAbRvj5ZvCZRACZRACZRACZRACZRACZRACZRACZRACZRACZTAJSFw0YQi2QOPGcLJEiGRxFv/Sr4p9yUTQ4bHZTd9YYhfMhWev2MyymHhomxZbTOBQ1mW33YCBCKZfTLxttm+PSpTplYCJVACJVACJVACJVACJVACJVACJVACJVACJVACJXBJCFw0oUjPDqWwbjh6m8CotNdPj/JRypw9d1UW7ZKg3jhMZaz0CCKCbbJZxkzJMqXClHCrbSawj2W57fax2yW59aK32DZe+/aokne1EiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBS0LgoglFsMlo0Bfpr5JcbzSX1ytJD5przX4zyYsk+YYkxKJaCZw2AX2i9NH5qSR6Ry17U217Vvfoaa9C71cCJVACJVACJVACJVACJVACJVACJVACJVACJVACV4jARRSKrhCKPrYESqAESqAESqAESqAESqAESqAESqAESqAESqAESqAESqAEri0CFYqurfXubEugBEqgBEqgBEqgBEqgBEqgBEqgBEqgBEqgBEqgBEqgBErghQQqFJ2uM9w3ib5CT03yIad76yt6t/dIcv/RL+p1k7xCko9K8qlJPjLJY67o6M7m4bca5f5unMScL7N9RpJPGWUdz2qtXj/Jg5PcLcnLJvmHSwTstknukeQ1k9wxyfMv0dg71BIogRIogRIogRIogRIogRIogRIogRIogRIogRI4EYGlUPR6SR6Q5EZJ/jbJiyZ5mSTfnuTRSf77RE86vy9/cRJB/luf3yP/x5O+YwTJryahyAQ/OsknrESTvx4/Oyvx4Qot4Qsfu2nOV3pMx33+eazVOyV50iUTil4tyS8Ov/4/Sb45yXOPC/mSfe/OSb4qyc2SPOecx36lz+lznm4fVwIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIXl8AUigQKNbP/rCRftBjuqyb5gSS/meQDL+40/sfIZLi8ych4uRJDrlB0Jagf75mvPrJIfm7L1wlFH5/khse7/Qu+dack332C75/WVwlF5vINp3XDDfe5jEIRQffjkrzZYj7OxfdO8r1nyOqsbv22SX43yV8e8IC3SSLb7K5J/v6A60/zkit9Tp/mXHqvEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBErjUBKZQ9JQk/5Xk7TfM5q2SPH0EvL/nnGb7YknuNbITfvucnnlaj6lQdFokz/4+X57kN5J82ZZHEYqUEpRtdxxTyuxpQ4w6zvdP8zuEInORMXNWNoUimYj/eFYPOeX7PnAIJW++uO/7jZ+97yk/66xv5zz/lVH+71fP+mG9fwmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUwNVBQGBRMPuPkwiYft6WaQky//joR/OVSQRQiUreRv+7JB+Q5BOT6GXz50luOrKTvnNkIn1pkl8evW3eNMlfjJ4gylSx10ryyBFclsV0kyTfn+TDx+fK4bnHvyaRBSIrQsmktd0iyUPH883r5ZJ8a5J3S/K1Sd5nlNMjeHmLfls5vQ9O8qFJ/irJKya5zqKU3W2SfHqS5yV5qVG2yr+Nja2FItkoj0hC/PqPcd39Bicczdt8/mmIY3cYrDYthXKAnz1KBL5lkmeOcX5mksePMnDXHXN9ySQvPeb47kk+aDD83JE19s6jp4w53HI8bNsa+nhf6bmPGILLLyT5tCQ/kgRHY/um4SvrOembQ1wgKhBj9Ip5hzFO7M3128aX3mhktlkLGSAfM4QP837X0YOHL77y8OWfHt/b9pmMhi9I8vtJnj16Svn+0sxZHyb3kqWG6deMffIaSR4+fIswgruMnYcksYay8KztuyT5wSQ/tMVn33rMU0bHS4zSj74vK+Qke2rN2h7WO0t/KawJZHpqGSc7dI+59j3HXP9m3Mt6269TKPrYsfZvPPzgLkn+czz7hwfz6yf5l7EPsdt0rsiKsc4ye/SJcjY8Ocm9x/475BTetV/5J19yb2fRr4//Omuul+QZY6/8zOjRdfuxT188iTJ1fzLOGyU7legkqjvLnHUykv5sywB3rfmu8Trbtj1LuVD+zGd/Yqyvv9vn9vzvJdFH6kfH/nylsf/tAz/nb7vuby7bzpb1NGVpYfhLw6fxJfjra0bIWp/TfOG7kjjT+IffEfY5UZNvOaffYJwv9qiz3fnibKmVQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmckAChiIgiiC24t60sleAeoYOAM4PBMn6UqxMUFswV9BeoJIYIUN4/yY3H+H5yBCr9XObSE0bQURCTCQ4K0vqOMSkFJjgviOvfAq/6JAm8CxIK7OtBtKlkGMFCcNF1bI73DZP8zhAijMfPBZ3XJhhM4CIMCK6yx4239IkQhIX3SuIegpnugcMnj2vXQpExKt83g5p6c7xdEsFi5j4CoYQ6cyLICbBuM8FyYtwUilz3Y+M7egj5496yIpjnzmcTBQgds7wgTkqjTaFo1xruE4rmOhJT3nE8m8+Yn/muzTO/bwTW+Qx/EvwlWhofMYLQwGR7uA/+/zYC20QUwXqCjSC3Oc9siocN33v5HZ8Rp/5gPGtXRpF1fZ3ht57BLwmY3zgEUjwJRdPMBdMnjj1lLsTGTaY/zhRsvmVc4Hn2Ax84yZ5aP49Q5H5fnYTQwaeVW8PYnjx0j73I6GGmxNmvJSHgWR+C7Hqv8dGfTWJPmRNxgjhKFHIffXGIa4TETecKAZYAQuyzL14lCdHGeeXM2WeH7Fd7wJiWGUV6blnTmVHkv/at84/fPGr4nXOA2b98wvlpjgRcnB+8YYC71pwYs+982fUsgoyzkdAyM4oIVgQtfZicac9K8tpjn1k7/jeFon1z2XW2rKfKf+1va8jf+IfnzBJ/63PannF2EreJ7vaatfYSgvPYfiK4ygIkmPNlpVJrJVACJVACJVACJVACJVACJVACJVACJVACJVACJyRAhBEElZWhsfm2XirEEBkH3pZf9yEhDMgMWJp7Cv56A50J8gueCjQy4pI/7ilgLJvG2/0ze0S2kCCmZ73F+C7h50/H972d7v6bAoXbhKKXTfIP4/uCz54v2L82Acl/HzzmZ4KbRAjCFTELh2nekvfGvuwlthSKvDn/8yPrYopOsq0Ecc1L9s2SjQCoNSE2bLN9QpGsAJldMr6ev7rJPqFo1xoeIhTJWsIUH2t1uxHw3bROBEqCoQD9urwgEUk2h8A2MeLzh+/ICJMNRiSyHsQHQoM1F4RmMs48W2aSDI9tnxF8DhGK+KwA/DSZD3xJ9pMg9kmEIveWIULQINYwfm4/PHe1dkfZU5t8h1DkeUQQxqeJQ0Q8+9f+PGSP2dPEEvvVHlzaph5FxA9CJeFkbfaBe1jfTeeKs8Ve5ctEA0ZIIxLM/bZprvNnh+zXQ4QiggdRSyYT06+NKCQDzLoRbwgyzg7Gr437wzYMbteaE+v3nS+7nrVJKFoOgWApU+9Wo5zoNqFo21x2nS3rqRKKnIWyAhnhRxlGZyLRaptQRFyeRhgiDN9xCI78hTi8LRN0ly/0sxIogRIogRIogRIogRIogRIogRIogRIogRIogS0EiBKC+QLuSq3NIPL6cm+hu1bgflvDesG89x8BbuXWZAEI9LK1ULQUHQhF3iD3/Nk/5evGm/kClsQBb5QLOipfxZTOkhHhLf+1HSIUrYPmy3vITlHqSpB5bd5mlyVBgJg2m97LJHDfpVAkq0dJKm/JC/4zIoMyYz5z7ZrNPmfdJxTJEJHhZL3wxEiWDtsnFO3km+BCAAAgAElEQVRaw0OEImXslBV8UJIvGVlgyhlOkWw5N4KDcRIsBNaVcRNInmYdiAhKuREwBeUF3+821kc5M4KeEld3HyW1fJfYhoGyasSVbZ959nGEIhlC1lyG2kmFIiKTwLk/m+y4e2rTvdY+L2OGkEj0sP+OssdkYBFIMZQdJFuEbTobZLMQC4i/Nxgij/J39gBhEU8+sum7MsLWQpF1t2/cay2mHWe/HiIUESVlxRDWmLJ0snKcBf+8QSja1ads15ofcr6shaLlszYJRfaX3lTEQGftfZK8zdhrhwhFy/vvOlvW7NdCkfXig9aP2HqIUCSDVHaiOdj3RGgZV8qI8sF5pu47M/t5CZRACZRACZRACZRACZRACZRACZRACZRACZTADgLEBKWQvPWv39CmzA+Bd2+hK/ckqLwpoCsDRIkpwXOBPAF6IsUhQpHhKc0m4Op7AtiEKWKDt/anUCS4vO4hs2lqJxWKvLWuj4c3+9cmOOnNeAHiaYL5hAxv6+vZsgyszmwtc5KFwWRCmIfPBOdPWyjyDAF2a0XcUa6LwKdc3S6haN8aHiIUebY1E1BWmkz2jxJy20zwnegieE1YVMpLFgGTpeUzPVTcS0bHV4y56Bs0szsIRbKHlqXD5vN2feaa4whFgtdKBBJ3TioU8Sf3uvkGQPvWY5f4uon3WiiagXv+K4uDLx66x9zfmsiYuecQe2a/Kb1+ltl7S6FIZo6+Q8oMMnvNOXEUoWjuKWLNOmPuOPv1UKFI3x+CyybbJd5sGtO2NT/kfDmKUOT8JRITvYmuM6PouELRrrNlPc+1UDSfrf8WPzhEKMLDWGVfMhmosq6IwLIQ+WCtBEqgBEqgBEqgBEqgBEqgBEqgBEqgBEqgBErghAQIRUwQVEaM3hZre/cRvBfEXzasXwaDBf0E72dJtqMKRRqVy+LRp0h2A6FGVhEjyujzM8sl7ZvySYUi2S3mRrhYm0Cx0lGz/5HP9UqR9SLIzpZCEfFCmaVlDxCMZSj4TIbCUYUiZcpk7RCsZo+mZY8iazAziGT4/OEos6cHDr6yxvSSYsseRfvW8FChCDfr53oiI7FmkxGwZITICmLEQqKC0lJslkZzL6KQa4kMyiC6p+uZMnTmwX+VqVrars9cdxyhyB6QDSPDQQYdnjhPO0qPIuUP+Q6xdp0dsW89TioUzX1F1OPvh+4x4t71hw+a8yeN/jz28L6MImKfc0JGCDuOUDT7cMms22eH7NdDhCJrLhtHScdNdhShaNeaHzLeowhFM2NIBqasvpMKRbvOljWXtVA0y0nyN4L1IUKRUn7KhRJkl8+W0fn00SfKSw61EiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBExCYQpGA4lOSfOF4u3/eUjBWWTqChswBtikYrJwQIYIgInD3wBEQPiSjyBgEjDWrJ1gxZZIEGgWWfU7gIH7ooyQzx88ErNfCgO+eVChSik/2FHFCqSNChowLAVpikGbx3oqXOXGdJHrdGLc5s3XZKZlWPzIypHz+sCF6eVOerQP+hCQsZNQox7Y24gtRQcaV3i7GJAvHOATRlXyzjjKIjI9QpMydHi/u67vWy30IRsYhiLtvDQ8VigTU/2iID8QDotYmIyZOXv4ro4WoNnua+NlvjCwtfXSYXlp6AxHL5torASYIjoWsOD1jlKkjOO76zP34lWww2TCbbD1nQW59pW6T5Kmjd47yazIblM0TzJZRd6fRr4aQxIeIWJuyX2T1EKuUUZT1MXtoGT9h9rh7atNc1hlFMr/sb72ijrLHiA16DmHDCKWykgiE+4QimYLOGXvU2vi7cmuHZhQ5T3BWuozAtm+vGOu+/bpJKJK5RsidGStEQbycP0QjtuzNdhShaNeaE+z2jXfXs6aIbE2dOeZPXJVdqDzgO4+z6rgZRbvOlrXPrYUipQedB+8yLtwnFClfqj+ZFxXsMRlRypMSYq27c9X8iLT8ypp9zpZ93B+XQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAnsIDCFIpcI3AqYe/tcCTVCjPJOAowyAKZQoueNgJ3G5o8aQoSgqUC/gL63xf3d5/4QMPTlICB9/Og54h6CsIKFguGue8BqnErR3X4IKTce9xC8JYAIIAqsz8yZ+VXXeyvfvYkgjx7BQ+MVWFZazzMJKQQwfVb+dAOfu47rXyOJXjmCnsodEVkEOgXKnzf6pBA3zIu45X6eT8Qg8ni+viHKleFJcDIvwXUCATFAjxdzekSSx451IOoIfm4r20YQIopYJ4FrpZmUtDNG5f9k5RCIlLyTgTMDqMYu4EqIIHQZszFgLxC+bQ2JInh7k58g41pM+QuRjPglq2maa6yVgPU2kxFl7vyCGEckUWZuiiW+hzOBQwkqJlDvzxQt5709B2+BYz4h2wALPrvrM2vFJwihmC57JLm3+RIS9MayF2TSGJOSeowo9m1jnZTC0o+KYIiX8mrWWpDb2hCkpriyZIKT+Sk/xxeJY+5BcDrJnlpztx9uMn4og8k+xYgfs0P3GJ+yd/iOkpTKHOJIEJxnw9xrHz72GgaeZY7WHE88CG+YKvNoTdfnyuxRxMcJbUqP8VtZSe7hzNq3V3btV+KWs8eZ54yTxUg8dI7JLDQnfuUz/mGchEh7y7lF5DIv/3VOfvIojWg/OAPsQ4LG2ratuWfvGu8hz+KDxFTPJXDJ+HIuOWOIKQRoe5Y4p4ybMRJxnFGEvl1zkeW37WxZz9GZaV/zMxmYym3yB2fW+pzG2LyJ7EoR8jFCkf5VRFTmLCUQEaHtc4yVsCO8TaFoKTLvOHr6UQmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUwJLAUii6kmQIJIKFzxiDIDwJxnsb/h5XcmBX6NmEKlleD75Czz/pYwWoCWOyaWolcFwCUyjaVXbysu+V47K56N8jFBF5iMaHmCw811/3kIt7TQmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUwOkRuAhCkSCwPi+EkaXJPJAR4i36a8lkORDHZJ9sKld2GVgQiGRurfvuXIaxd4wXh8AUit5+ZA6tR3Y17JWLQ/t0R7IuPbfv7oQiGUWyLmslUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlUALnSOAiCEXKGSlbptSQ/kNMLwsl6/TNUVrqWjLltfQpIZJdJlN+TFaYHk+3XvRkukxz6FgvFoF9QtFl3SsXi/LZjKZC0dlw7V1LoARKoARKoARKoARKoARKoARKoARKoARK4NQJXAShyKRkn7zf6HmiF8x1Ro8hDdlrl4OAflX6HelHo9eMHja1EjgJAT119K3So+hLRm+dk9yv3z0fAvoYKTmnl5M1/Oo9j9XDSB8ovZWcI76rh1utBEqgBEqgBEqgBEqgBEqgBEqgBEqgBEqgBErgHAhcFKHoHKbaR5RACZRACZRACZRACZRACZRACZRACZRACZRACZRACZRACZRACSwJVCiqP5RACZRACZRACZRACZRACZRACZRACZRACZRACZRACZRACZTANUqgQtFhC69/0qcked0kn5nkKYd97cJdpSTUg5I8LsknHDC6zxjzVhrwMQdc30u2E3jXJJ+V5MWT3PICgnqjJPdPwkfeOMlvrsa4/vzFknx0kvuM/mIXqVSYcnV6Zv1ikg+4gKyvliG9VJIHJ3n9JE8dJUM/dZQLPO55cdH3ydWydp1HCZRACZRACZRACZRACZRACZRACZRACZRACbyQwCah6J2T/HCSRyf5qLJ6AYFfHgH0/0zyqkmeeEwuz0yi7xLR6Szszkm+KsnNkjxnywN+MolxHCIUucVfj2u3BX6/OMmtktz6LCZ0Be95CMujDo/IqI/TlRKK9vnf6yX5nS1CkbmuP3+TJM+6gEKRsX5zEmLW1SIUvU2S70vifMb8ENu33ofcY9c1X5rkT5M8fIiMn3fAeXHIM6/0PjlkjL2mBEqgBEqgBEqgBEqgBEqgBEqgBEqgBEqgBK4aApuEIsG/vx+ZAq+e5N+vmtkebyKyiJ6d5AZJnnu8W7zwW8S3p43G7X6I/3sn+d4T3nd+XTBZFtBdxxr6+dsm+d0kfzkuOo5Q9PFJvmHLGGVvEAzOQlRcj/2UMB10m00sD/ri4qL1+K90AHztf+v5VCg66gof//qj+vYbJPnyJB+W5I8PfOy+9T7wNlsvk0X2cUm+a3HFPmH5kGde6X1yyBh7TQmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAlcNQTWQpGyWI8a5dUEAe843mK/7BOWWXCvJE9K8ttHnAzBQFmlV0jyd0f87r7L32+IOu+778Jjfm59fyXJ3ZL86rgHoegZST7xwHsK/CrjJUPjuPaGSZSUEug+1DaN/dDvXoTrNo1fAPw9k7zlRRjghjHcKMnv7cgoWn9+kTOKvnGUQruIGUWX3ben6/zrOL++e+FLpyUUXeR9ckG3b4dVAiVQAiVQAiVQAiVQAiVQAiVQAiVQAiVQAscjsBaKBOcIIkQB4og312WnTHu5JN+a5N1GVsz7JHmZJN8zrvvvLcP4mFEC6i+SXH/0u1HKzN+/Mgmh5O1HNgwxRnCXkPEeSf48yU1Hf5fvTPKBSWQ9KQdnrG+axH3vMYQgQ3itJI9M8o+jVNxNknx/kg8f4xPwdg+BTllTsmWUbFubcmrKxN0+yQ+M7Cr3IHgsx/y8JL+f5AFDBFDy6UOH4Pb4UboNq4cOkeaDktx2jOF642dflORnFgNQ4u5hg4XSTj5X5sl4/2FkDGH2aePvRAhZPTJ89Axx7ReMPjI/keQ3xt8JRbKL/mXwlTFmrMoNbjKB3ymUyThxn/uOHja3GHOyPq+5+LI+N0Swvxrr8xpJ3i7Jr294gEyJLxsinHsozff5W8Z+3SRK3VlP2V3Y6Yny9CTGMsUBGVTvmESpQD1UfIe99GD6auPvv5Xkfhuy5l5pfG+ydD9rZ32/PclbDR/jgzLC/mw1L+PcxN4a3WWULnz/JJ6jXNfnHnF8ni9bxHzM4TbD179kcLxnkjcbJQb57vOTrP3PI43TdwhXhGFC8R0WQtG+zzcJRQRBe8Y+fuUkD0zy0wceT982xvTPSexRe1qvpEPYY/A547n2o/J+BNFNQpF5fW2SlxwMnVvvPvp3WSMl3tyLXznfXj7Jn4weZZ80Si3qzeT++jph/E+DH993LdvEwtmwyTd2IfJ8HD1b6Tk8P/uI5437W199srCxPq+T5KeGP9o7BPWHjDP5Hcbf7bN7J/mbxQDtZ/tO7zIMnNEyGYnSa6Fo11nr941sRfd2tjjLnNP79smB7tTLSqAESqAESqAESqAESqAESqAESqAESqAESqAEDiGwFooETwU+lZ4j7gjYEyz8e9o7DUFGloh+JgKKxAc/f/KGhwqiEmIE9wkHxIBfGwHcHxzfk+kj40fQ8mPHswWbBVT/YwgcxnXjcX/Pk/nw0Un+K8kTRoBZEJURPYgSvmOOPzeCq8ok+bcAv0A7Mcl4lJYjCrlubQQOgdllRtFksByzwLKAqaC7YDD7sSS/tOgHRGQzH0IRI5YJRG/LKPLMKYIJojNv7//sWBv/JuoRMASn32gIOYQi4sYsm0dMW2YUTXaElMcN8Unm1CYT+LUWXz0Cza4nQrzxEGIEiwV4p1DkPoQpQWiCFCHlO8bn1n9t+j3xA+Lbi45nCWZvGjt/eIshsll39/6WISq4twAzgcqaCYQLZn/6YEwQI0jxZ7wFxfnB1w8Rbj2uNUufExQIhfyZyGOdcSFGrW3T+Of4CHx/O/zTnAiwRM2jjA/zDx4ikUC7gLtx2AO/kOS1h9BhH3/dGNza/4iPfBkvwuG69Ny+z9dCEQGB3731IpON2Gnfmt8+IzYQKhifIfjYY/vYE6QIXXgQZue+2NajSH8uY+QrzLr4w6wp8YNIyGTTEcaJ1oxoQhR67PCjKVyan2xMDPSh2sWC7zhzlvtyHxvnBMHP+jr/+PFRzxu+drtRjtIc8OH/BDlCFJ/Ccq6VknLO2LUQOsfqLLOXtmUU7TprcbYHlODz+8B+e/PxIsK+fbKPVT8vgRIogRIogRIogRIogRIogRIogRIogRIogRI4AoGlUOQt+69Jcvfx/VcZWSkCo4KJ06ZI8rIjs8XPBfwIPN5KX5v+OwK+gpHTBHNfYmQvrO/nLX9B66UJRn7TEIP8fN1nx7P98fb6i4xArqDxFFdkCwlEehahQZCSsCHrhilH5/4EirXtEoomA2P21v9RA7f7hCJjIaTIsBDU9gxBW1kkNx/CjWwuYhw7VCgyf8FyJgNCYFam0iZbZwgQiQgsuDxlZBUshSLiDCGMkMRmQHsGuNfPIHoRsYxjmZG2SWjhR8Q+gibjv4Q0WTkyY9a9TW42hDqi1R8NwZMAIMjPiDxEDNkoa9smFBGnrAkjUPJ9fWPWtk0oIiLI6GCyqawl0ZUPEmQPHR/m9oXgOnMP2TfzXn72i2OMU3xZCkXY4Ulk/Ipxj6VQZFy7PvestVBErCIcEioZn7LHiMmHZhVNjkQzazMFGr6xjT1f9kem2PQhAuo2oUiGkvsS7IgvS5v3MnZiJP+0XvyYICerUQaetZJ59JwhHrmHbEciorONSL2NhUzN8xaKiLCyg4hxj1hM2H6WCSQL8w/H+U8MdrbxF1k/22yfULTrrCVCEqSc087epa338Xqf7BhSPyqBEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBEjgqgaVQRIiQfbF8e1x2jIyYZSB9k1C0qy+Ft8WVE1I2aZq38L2lL9C86X6u0x9JeS7BzRuOMk4EGbYWirz1LsArOE8oUlJOMHf21ZFR4S1+gWYluAR7ZSzIqGEC5IKjs0TZkuMhQpHrj/OG/yFCEYGN0GX8eg0Zq+A+IUNwlxgyx30coUiGjDJWxr/J1ms7MxsExTFbZxQJRCt9ZpxMZosAtGD7z294gDkRGJXuIwARCGQ7rIUW85ehJHCtDOA09xTM5wPrAPNSyBDYF+iXtUbQY4QFf99UnuwQoYgPKQP4IRvmdYhQtBRmzO0o41sLRetsIEMiCBK1ZrbMUiiaIg7B5IcW+0CWIJEPLyLPts83CUXKORKaf3TcjzjhXkoV4r7LXCt7h/BlzysdSIRREo6thaIle4IfweNWiwfsEoqMyXicf66zf4g3019lJxE2ZekRv/j6Jw+BkWg+M5EILMq5EU6ZUoj83bkpG3MbC6LleQtFhHFzdK4S7zeZTED+rPwgsZfgNUXZTdfvE4r2nbX2unKZ1kIJUv7J1vt4k2/vcad+XAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlcCiBpVCk94qgvyDtNFk6MjUEP2f2zVGFItkiSovpOTRNOSr9O5Re2nQ/ooLgv+wIAoLMCQHdQ4QizyAkyMLxPcLGs0b/EW/7z+DlspTcLl5XWigSfJY1I3BLVBF8VlbPXF5xBLkJMew8hKIbjD4kM+C8FoqU9NLTSDYBkVHpMyKOtf63LaBlghFbCAoya5SjWgst5qq8nIwcwuM0WTN6O3nOIULRnVelsrat/ZUSig4d30mFosmXYKsvFFsG5GX1ETO2fb5NKJI9NLOcDj2HXEeQIVr6LqGXiGA8hwhFBFdZJ/xm2i6hyDWy8whAfFP2JFFxCoj8lwBp32HDx/FSHlFfqJk5SSgirhC41kY028Zik4i4j9VJS8/N/XOn0VNu0/OI60RporEyerL8lHDcZocKRbvOWmsmI4+4LMtImcsKRfu8oZ+XQAmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUwCkSmEKRHinKtM2g7HzEDGjKBvrC8cOjCkX6V3hLffblcRsZPTJ/BMU33U9gVgkzGTPsqEKRoLG35gkqgs4yHGafFm/760Uk+0Cz+n12qFCkt4fAMqFk9jo6aY+iOTa9QgS29X8RvNUPCTvZWjO7wbXnIRRNfrIyiAVrocg4ZF1YOxkhykt97sgq2sTadTOb463Gmujvcp0NWRfKvBEclUhk/Fcmjowo5bR2CUWyRPih8oKyPfbZeQtFWB5lfCcVivCVuUVgk83BlkIRgXbX55uEImtjXLK/tomC27jLJtFHapaoPIpQZE2JTPxGuTi2Syha+txLDd8kiut3xe43Moj0epKFeNuRdSXzilA7xROCpXNslsdbzm0Xi9MQio5z3tg/sqfsl02m3JwzzNlrnxPSdtk+oWjXWSsT6/rjeZ7hd4w1dHZXKNp3OvXzEiiBEiiBEiiBEiiBEiiBEiiBEiiBEiiBEjhFAlMoks0haCd7aG2ycQRflThjRxWKiE96UNxkZIQI0k6B44e33O8uI2ir14lSeBqtC14eklFkTrKYfny87W/MsiNktxAufE5AIk4QWwgZfiZwuSm4fahQpHSWwPqDhhDhLXqZVHqzzH5Ay9JfxqU3jAyKZSbEpuW96yjLJGBNfMISQ+WwNKifthY3ZjB5mRWyLtt31NJzMplkHLgnWwtFyrgZkznjqWQY7s9YBPGXc+QbMhkEnWUdySST/TAzqZZj14uIEKcUIp+U1UQQEHhXtm2fUCRLQlBfWbHfG4PY1BPLRycVijax3xcAP8r4TioUmSNxGHM8CAS3GJk0UwTc9/m6R5HMQ1wJcUoQWiPly4i1nmNPEg0fvsHJHzkycIiFRCxlDfUYOiSjyH6w54k97kO8Ia7a95vKCjrnCN8yiDxLRh7BVWYaU5JQ2Tm9jHC2t/1b9trsB+Y6GX72g3NkZrlNf9rFYpNvED+V25NNqTfU2tYZRcc5b7C3341X1pS9ufZ/YpnSc34nKO+3y/YJRbvOWvvbfpDRxQiW9rNM0337xO8C2YfKDdr3tRIogRIogRIogRIogRIogRIogRIogRIogRIogRMQEMjz5rtgv94kyg7JAJom4C+AKhAvIC8rxxv/AvsPGdkZvivoSvTRb2KWqFsOSxBQUFXpMCIDcUDGADHFG+7uJygrUC5oK3gp64hII3PB333uD+FFUJWApFzVfEue2GIsAp2u08dnaUrRCfISSm487kGkESwmunzcIrNlfk+GBXGCcGXuAqdP2zJm3yGOCJALXgocK78mW0tQ86YjU0HwXFkqWRzm94QRpBc8n5ky6yWV9UCw87b97KtE+FJGT+YHm/eXcWQdBcwJYkoKEpgIMILayjtNdtYDf0LBRy5Kai2fzwcE4pkAuvUwH8FsPJXdwt515mB9let6ndUkZGNsyrx49BAR9G0hEClL+H3ju8ux8x+CgyA/geL5gy3eyn8RdvSqwcg6uIfMKz7JP4lqyoZhLyAtK0SGlvV90mqsm1gSSJUeI/a5lzEYKzEMc3zXthz/zGSa47PP/Aw/3OxDfn/o+IzFutiHjx8lu2TC2FcEAXN88CjlZ//deoP/4c1XCBQys/TawZmfywCUYbLtc3vMfrv3eKbn/tYQEM3HvYmxsvb4C4GYEMOP9ZlaGy7EHT5GxHAOyCS8/zgn9rE3biKtMfMl5pnW/3tWD7vPWDPPIMA8efjK8jLnBBGDAMVkrOEzMxP9zPnJ14zRvnY/54+xMiLnJhYEmrVvO3/4MqGMqLq2tVDk86OeN4Q3jO41fM1eJmbzw2n2KB9Xjo/Qtsn4Kd/is8Q/ZxhhDy+l4+xHe4Oove2sdW77neEZziEZk/YCwR6/XfvE2c6niI8VirYsUn9cAiVQAiVQAiVQAiVQAiVQAiVQAiVQAiVQAocSWPYoOvQ7l+G6x44A7Qy4CmwKFguGz9JWl2Eel3GMxDEBbIH7aYQowWPC28zkuYxz65hPRkBmHEGPyFD73wSIajJqiKBrm0IRUe+nzhAeoY7Aqm9QrQRKoARKoARKoARKoARKoARKoARKoARKoARK4BogcDUKRXoPaW4vIL00GTze5Pcmeu3sCMgcwl9WwjTZCcrP+S+xrnbtESCAEGllnWwSQq49Iv//jGW6EWdkpSn3t8lukOSvR7k1WVlnZbJ6nrkow3dWz+l9S6AESqAESqAESqAESqAESqAESqAESqAESqAELgiBq1Eo0rdCyaMbjv5DUCtjpGSdEnKzD8kFWYKrbhjKh8mM0KeG6aWivB3hbvabueom3QntJXCjJM8eYu3ei6+xCwhFMob0iVqb8pj6PDmrlRh0rukNdJom00uWktJ0SsYp+VcrgRIogRIogRIogRIogRIogRIogRIogRIogRK4RghcjUKRpdM7RW8lvS80TdewXg8dvXNqZ0vgtUfZP9lbTK+aX0zy6c0kOVvwvftVSeDmoz+cTDx9oc7iDLv76DOlH9M9h6B3VcLspEqgBEqgBEqgBEqgBEqgBEqgBEqgBEqgBEqgBP43gatVKOpal0AJlEAJlEAJlEAJlEAJlEAJlEAJlEAJlEAJlEAJlEAJlEAJ7CFQoaguUgIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlUALXKIErLRS9W5KPHw3aX3XHGujL8SlJXjfJZyZ5yiVdr/+T5EFJHpfkE854Dm+S5KOT3Gf0NfmDJPdNoln9U5N8yBk//zxuf6j/nMdYls+47vDXT0vy3kmeeN4DOMPnnSbz10/y4CR3S/KySf7hDMd9td36pQY7DPVk+6+rbG+v1+sjx/yUsfyAq20xjzCfd03yWUlePMktj/C9XloCJVACJVACJVACJVACJVACJVACJVACJVACWwlsEoreOckPJ3l0ko86B3YfnuSzk+wSin45CZHlP8d1xw28P3P0+CA6nYXdOclXJblZkudsecBPJjGOsxaKPJ5Y9KyFUORn3zEC8leDUGQ+h/jPWaz1IffUp+myCUWvleQXhpD4/VsmeZrM3ynJkyoUHeJO/+OaL03yp6Mf2P2TfN5VuLfXUL45yYtd40IRJl6WeK8KRUfeM/1CCZRACZRACZRACZRACZRACZRACZRACZTAFgKbhCIByL8fmSivnuTfz/ATx/MAABQrSURBVJjevqCzLKJnJ7lBkueecCzEr6cl+dpxH/MXyP/eE953fv1tknxGkrsOhn7+tkl+N4lm9KxC0SnBHrfZ5z+n+7Ttd9vkSxdJKFr74baZXH9kvH3qEDQ3XXeazCsU/W/Czt3XTPJzO5xXhuDHJfmuxTVXmwi8nv5FFoo27f9D99xRz6gKRUcl1utLoARKoARKoARKoARKoARKoARKoARKoAR2ElgLRcrZPGq8sSwQecck33fGDD8syefuyCgiviiV9gpJ/u6Ux/J+Q9R531O+77wdvr8ySmv96vghoegZST7xjJ65vO21kFG0z3/OAfMLHrHJlwhF3vzflplzXmPb5IcnefZpMp9C0csk+ceTDOoq+u6XJ/mNJF+2Y07/Os6u715cc7ULRd+Y5DoXNKNovf9Pe88tXYFQ9J5J3vIq8vlOpQRKoARKoARKoARKoARKoARKoARKoARK4AoSWAtFgk8EGW9uE2f+eAQjtw1R1oGycR+URMk6/RNkAN0oicwkwUxvx3/DKMnmPvoNCYDqSaI8mzfnXb+p9NytR6+X2yf5gZHdJJtBIJW48/Yjg+d5SX4/yQNG8Exptw8dgtfjR5m390ny0CHSGO9txxivN372RUl+ZjFR43nYCEo+PInPlXoyH71UZF15vj40/i54p1SfXhr6hrj2C0afoJ8YgV89gwhFsov+Jcl7jDkZq3J/a/uIwUopMM/5kSQfPJ71TWPuu1gfIhRZj0eMkk7/Mdbsfkn+fPRTMi9i4eckeXoSAf2XT/InY60/KcmtRgYaAWxpevXI3nrJJC+dhHDy7uMCvqIEIPHvlZM8MMlPj89O4j/uSXwgOrzeWOdNZQCN7YuT3GRkqvED/myOt0gyg9Kywd5xlD3UT8d31rbNl8yXD7x5Er7sXndI8kcHMFg/4zZJPj0JX9efRq8W/7Zm9uA233fNJj+01/UH+5vBiX8RtKynNecDXzMGsW/P7lov/VTuMcogbupBNIWijx2+/cbDz+8ymDuP7A37W7aTfSNj75+TvMHYH3zIOWJ/GPsm+7Yk1tz3jNeYfnPLtZt86B3GefFXg7f7sTca9yFgyPD5mNFLx7mzy8e3feb8sF7mK5NSicilQP4aw0+dDfabfSqLkSC9FoqcyUT43xtn0o+Oc+Tuo7Tob497WfebD3YYeebf7tgfrvVCgT1mf/Ojr0vyyBXPXWvnLOaz357krZIoeajEqAzPPxv34fPOHfPn93rymPO2HkWHrrHfTdZJJqnfV876Jye593jOUX+vrfc/Dndanf1eFPB7b9dZvnbHbWcZH7c/lGB9/ySvNEoPWmu2bd3tHxloBCZ76k2H8Ob3vf3vvGJKGfqd+0+jF5Kyr877WgmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUwFVKYC0UCfoJEhE+BNI+fwTR/HubCS4JgOnN47uCbQJ+yrwJmAngCngKlCulJNDnv7P/0b4yVm83BIRlRtEMLt8ryU8lEWQWUBQ0FQQjFDFN3n9p0Q/oW0dgnVDEHjOEj20ZRZ75FyOoPAPD3uD/2cHGPQTZBDwF0gSNZQIQiogCs2yegNwyo0jglmik59Ljhvgkc2qTCegRWogVTI8OYhMu1m8X60OEImtBhJsBdkKIe7/1eB6W1kwAm/3fJO82RC7/tt4Cio/dMHh9mNzH2/bMM/wR7MbHZzPjiih343Gv4/qPQDJRS9CZgMI/iAcEz7UJxr/FEJL+awSov2WICMQA4zRuLASqBY+JLoSyTeUYN/mSvcG/CaV8iQjFj4hiuxisM2sIaYQD2UnWnighsM33P3ns0V2+v/bDFxlCgNJYvzb8lphlfzDCmsDxFIp27dl9Pmhf2m988fkb1mHu5TdM8jtj/9pfAtV8XxDc/vzKJMZtbIQJQqlA+Q8O4fhFh/BImNpkxJSHjA8IKoQH/rG2XT5ELCawEbMYZtbD+vzb2PcyBQXWd60voXWb/1t72ZyetSujiH/jsiujiOjiXCIqzrPgtcd+4K+EbmLqFAjsYQKOs+qQ/WHv828CIPGIALO0XWvnuuX+cK2z5quTEGQxxYEwTnRj+0rPHbrG+BPCiHU/nuRVxksCPzR+782xHeX32nr/bzr7d53lR/HDeTZZP/Pwe9d6vdwQ73atOwGL/xPuvcjhDPaCBPHtO4dPTQGdLxIE+bKzp1YCJVACJVACJVACJVACJVACJVACJVACJXCVElgKRd4kFxj2tjkTPJMVIxj49Tvmv+zDQtC46Qj4EYh8n3lzXWBXUFfQ2TW/Pj47iVAkK0mQ0nMF/05bKDJEwWhZCEQDz/C2+2+NwKhSfd8zgtquPVQoEhAlojBBZYE/mUqbTJBddgvxA8/bjeCegDihw702sfb5PqFI5szPj2Ax8YpZG4Fi9/b2u3H6Y3wEFUF8wXRv4ctGEVyUEbVJTBR0ljUloLkUCQT6ZUQQ1Jh7m5usDaLTtjnt8x8C1hNGAJ/P7TJCgQyQZb8qouDnJfmSDQ3jbzZEx9dZZAQt779NKBK05UOMEMU+cIgd2xjMzKp5f+MUDOYD0witMggEh63FUYQie10QWBDevlzbUiiaWRzb9uw+H9yzDC/I/nrSyDCcGUf2mD1BNFgb3zRmIjZf9G97aIod+57ncwIAUZJvrm2XD00W9hWBzRjsDdmKzgEiEeGTILDLx2XQ7Fr70xKKlnN7xSQEUNl/BEsCgX5tsmEI6jLq7B1ZPOyo+8MZLNtrly3XznXrHl6eT/hQ2nCeO6+2WNt9QtHy2bvWeApFzqWZRUpwlcFjP63Htu/3mrP2EKFo11l+FD9c9yiSWed3ErF1fe6t130KRV44mOZcJXTOUrP2v9/7zFlF6H6Jcf4fsr96TQmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUwCUjsBSKCCEyJmbZH1ORnSMjZwYPN01vHewTNCUeeGtZxgzz1rrMGcFsb60LVM+g4mkIRZ6xL1jumqNmFPmOElWypbzxfrcxFxlERCGBewLCLEd2HKFo3/yVGSNgPGgIGDK1iBmEnV2sjWmfUGTNlX7ydjmBhhHfiD4+s4YyEASulTOSnSAALngosGotiYgzY2jtHzIvZL3wM0FeY5LdI/OAIKkUFpMN4tr7JhHYPK7/8CvPe7MR9FYyUDB8bdZS+T/ZIbKpphHNiA+yvdbB2E0sl/c9RChaBrp3MTCHpSm1aC8SGKYRoJTOMhdB36MIRe4hkE5s8izZOjObyGdLocha79qz+3xwA/7/8aNNQhE/U07PvrvBCODLyOKXgu2ybewB+5GIKtuK4GdO04+XD+FfMuFkAD13ZOeZ4yyDuLx2nw/JBCJUyU6SzSOATtwwFuuhJJiMs13rKxNom/9bj9MSiuwD83bWysa6TxKZi3NPEIJlcSnlR2wzbvv5OPtj0zrvWjvXr393LEvnEQmNn7A1bZdQdJQ13iQUWTfPN2Y+cpTfa861Q4SiXWf5mt8uP1yfTX6/WkdnqHKKu9Z9k1Ak81fGqu8ROr0AIauTERD9DnD+eGGiVgIlUAIlUAIlUAIlUAIlUAIlUAIlUAIlcBUSWApFBANvuQuSTVPSTXaFQNHMDlpj2BZQW5aKm9/R+0IgUnDVG8xsn1Cyq/TczChyn7MSigTKCDUC1ILBAryyobxlTdQQJPzDMZezEIrc2rMEAZUKk7lA4GAzSL+Jtc/3CUUC1so6Kac2y515o16pNZ8RbJh+VUQUHJRy4ydKKxEwiEyC9dtMUJbYQHyRpWZMSq/JHhK4X9uuOR3iP4KcRBRBcaWllEzyxvzS5lv2PtOfZZoSXTIMlF08D6FoG4M1EwKIDJBl83pv/xMqzMWcjyoUeQZ/kr1xzyG+yKhgS6FoH/N9PrjDNV7w0T6hSClBot4sEycrhWBAKGL6DRkjkVE2hTmtjbjpnOFvym3hKbi+SSjy3V0+JIuLfynF6FlYfcXwa+UJZyYGoWjb+u76zPNPQyiSBUOUlY1G2Jo+vxSKiENEAqXFMCWWOAeOsz82rfO+tdslFBFeZMos13OXUHSUNd4kFM2z0Hkv+/Eov9fM/RChyHXbzvJN/Lb54S6hiO/sWvdNQpH9wC9kBxKK9NQjMNZKoARKoARKoARKoARKoARKoARKoARKoASuEQJTKCIO6J2yDpzOPgsa3H/hFibrgJpgtr43s8TR8msyk5Q5usno5eOz0xKK9LQgZAioez47aY+iOXYNwGdfEcFVfVfuPMpPLbNpzkooInjIviG2eHN+9gLZxdrY9wlFAufEkdlTyXf0UxIs9Nl8q/x+I4NIBoIguXJV+nn4QzgjLG0yGVezP5C36QlqxEeBaT1wZC5MwXB+/yT+Q4gidM4eQrKFZKdYs7XJAlEqbPbhsRcIEjJZHnEOQpFnb2OwHqugrVJcSgxOI2bJaiES7vP9db8UAWiN7e0XZn/bhwLzbCkU7duz+3xwi2u88Mf7hCJjIcDMEoFLoWjpX7KtlFTjW8usSA+SLcUnZAeyXULRPh+SdWFf2I9EIf7Gb/SMsi9nhtqu9d239qchFM2ziCAm+3CTUETkxcrZL/tz9iHD6Kj7Y9M671o71+8SipRz45PWU8lLtksoOsoabxKKZqk7LxxsGts+Pz9UKNp2lq/57fLDXUKR++iTt23dNwlFSmMq+6hPEeFc9tmmsoz79nI/L4ESKIESKIESKIESKIESKIESKIESKIESuKQEplDkjXyBY9lDa3vWCNQpsbbJ1sE+95RxQyAgpnhD3c8Ep12rTNRTRtBW8NYb7wLVM0C3fsahGUUEFGWnlGjTO0QAXSaJfi+zH9C69JxMAILIpiyE5TiUZvLd2c+D0KVHifJrmohPWwtFM4Cv74lMHPaTowfPHNM+ocx3BO7+aJSFE8yfAf5drAkw+4Qi91ZqzdhwYw8bIp83zKfpE0Jw0XOIuIG1fxOZbr/D9/kTgVG2y3WGUERYMxfBa+ukAb1AsCwz2R4n8R9ZAUwJKSYjyhiJP2uTkUJUJIR4vgwdgWiiit5LR80o2uRL672xDHTL0tvGYD1WQf5nJ7nD6OeDJb/25r/srH2+v/ZD9zM/wiMjOpm/IDZbCkX27a49u88HzVmmgv4+M2ttOb99QpHzx3khiw0zf5fJZv1kyuiP9R9D4OTL5rbulSNrRnYPMQk7ZTCV69uUUXSIDwnE8xFnE5OV52zAeQqfu9Z339o7P2WLzQyvTVvMnI3VddOWpdtwIGDJ5nN2KR3JX5YZRb6HpWys2ZNs3uuo+2PTGHetnet3CUXOWKIgYdn6OQMJ9taWoLG2o6zxWiiSfaUcn/sTXzeNbZ+fr/f/prPffbed5ev57PLDXULRX+9Z97VQdMPxu8xeUPZQ1qysJ7+7Z7bl7D/Fh/SRkkXIl2olUAIlUAIlUAIlUAIlUAIlUAIlUAIlUAJXCQHBL2+3C8LqcaAnyDLwSAQR2Bc8F/AVVFz2fJHpQFhQtk6gbjYG1yhepgYRhkhAVCEIEY/8TE8UbzwrZ0dwEGQV/CJELM01ApZKIn3dEAA8X7k3AWLXP2pR+o34QngQxBXkEvyULSUQetMkMmOIAt78NwaBXoEvwot+NjO7ZL28smEEPYk0s++S3k0CZoLobN5f9gqOeAj4YmN+gtgCcPqreItfqSTN5c1FAM7b/LtKuBFVsCM6LW0ba/M2X1kPMij8IQRYM8Fs89XvyNoaK0FA8FwfCsKBrIalEbgIC4K3TNaNzArrss2Uf8NDJpHydrIuZGMx8zAGAW1+IRvEOgkeH9d/BC+tK75ESG/J4+q/axP8JGQR05SawovvuAfBT48U682nlNAybj19CF8EQuNc2tqXzNfeEKR3vXv6t0CxNbFXdjFYj/ddxh553uijQgDjQ1MU2eX71m7ph8RJ4obv8kGBc35BIBKYN15BY+sja2zfnt21Xvaonl4yceyhpRFz514WoJ9ZJBh7Pn+4+VhT+87ZpAQjUVspOmsrA47wyI/wtVZrs45EAIKnMor8USD+/kM0Wl5PPNznQ84qAXl7igmq+6OE39J2re+uz6wFFvaXdV2eufz2wePc/vFxfhEp+OZ6b0+fdQa7Rtk8/u3FABlDjP87d26xGvuu/YG53wVvONaPn6wzA92OKIHlprWTceoec38Yh/VzH2eG85JoQcBWYtQaM1lk5qoE59KOssZTKPI7wt5XvvBJI3PNWI/ze23T75LlnjMXe5dtO8sP8UPCDm7zbLIn+IoxWwe/z/kHRpvWXS8igqLf584o9/M7iXjK/D8Bn7M3/K60V75lPNMZZB9VKFo5X/9ZAiVQAiVQAiVQAiVQAiVQAiVQAiVQApedwLJH0WWfy9U+foFGYs4uMelqZ9D5XU4CSkHKHJLxVyuBK01gCkWbyqOex9iu5FlOvCMKXfc8JtpnlEAJlEAJlEAJlEAJlEAJlEAJlEAJlEAJXA4CFYouxzoZJYFI5leD7Zdnza71kcoEkVGkV9gyU/Fa59L5X1kCm3oUneeIruRZvqlH0XnOvc8qgRIogRIogRIogRIogRIogRIogRIogRK4gAQqFF3ARVkMaZYTul2SWy/6CF3sUXd0JfD/Ebje6D2lvF2tBC4KgSshFF2Us7xC0UXxwo6jBEqgBEqgBEqgBEqgBEqgBEqgBEqgBC4QgQpFF2gxNgxF/6X3Gv1a9GSa/Wgu9qg7uhIogRK4uAT0a9LfSo8ifcr0bTpruwhn+Wsm+drRM8949Epa96I7aw69fwmUQAmUQAmUQAmUQAmUQAmUQAmUQAmUwAUkUKHoAi5Kh1QCJVACJVACJVACJVACJVACJVACJVACJVACJVACJVACJVAC50GgQtF5UO4zSqAESqAESqAESqAESqAESqAESqAESqAESqAESqAESqAESuACEvh/lPziGccWbPQAAAAASUVORK5CYII= |
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The fixes to the sizing logic made this control image being incorrect visible...we we're clipping the bottom off.
@@ -5,6 +5,7 @@ | |||
const inliner = newInliner(); | |||
const fontFaces = newFontFaces(); | |||
const images = newImages(); | |||
const ELEMENT_NODE = Node.ELEMENT_NODE || 1; |
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hoist this up higher for use elsewhere.
@@ -74,22 +75,46 @@ | |||
const ownerWindow = domtoimage.impl.util.getWindow(node); | |||
options = options || {}; | |||
copyOptions(options); | |||
let restorations = []; |
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This is the stack of text nodes we have to restore... there are likely to be ZERO of them, and most likely no more than one, but it's just easier to do a stack.
return Promise.resolve(node) | ||
.then(ensureElement) |
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Make sure non-elements are wrapped in an Element
.then(function (clonee) { | ||
return cloneNode(clonee, options, null, ownerWindow); | ||
}) | ||
.then(embedFonts) | ||
.then(inlineImages) | ||
.then(applyOptions) | ||
.then(function (clone) { |
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This was kind of ugly before, not the normal then()
pattern. ALSO fixed the clipping bug where, because previously we were sizing things by the original node
's dimensions, when we should have been using the clone
's dimensions.
const originalParent = node.parentNode; | ||
const wrappingSpan = document.createElement('span'); | ||
originalParent.replaceChild(wrappingSpan, originalChild); | ||
wrappingSpan.append(node); |
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Put the node in the span
while (restorations.length > 0) { | ||
const restoration = restorations.pop(); | ||
//console.log(`parent: ${restoration.parent}\nchild: ${restoration.child}\nwrapper: ${restoration.wrapper}`); | ||
restoration.parent.replaceChild(restoration.child, restoration.wrapper); |
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Rip out our wrapping span
. I wonder if we need to remove the wrapper or something else? But seems fine. Will need to know if this change breaks anything for real consumers, hope #62 can test and report back.
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@meche_gh this is the biggest questionable area... is there anything I need to do the swap-back better?
@@ -122,6 +147,34 @@ | |||
return clone; | |||
}); | |||
} | |||
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function makeSvgDataUri(node) { |
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Moved this function up to here for variable sharing.
}) | ||
.then(util.escapeXhtml) | ||
.then(function (xhtml) { | ||
const foreignObjectSizing = |
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It was getting ugly having two then()
clauses just to format up a nested string. Now we compute everything and build the string up once.
.then(function (xhtml) { | ||
const foreignObjectSizing = | ||
(util.isDimensionMissing(width) | ||
? ' width="100%"' |
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Restored the 100%
when we have no dimensions at all so the foreignObject
takes up the entire svg
's space... handles when either or both height
and/or width
are not set in any way.
? ' height="100%"' | ||
: ` height="${height}"`); | ||
const svgSizing = | ||
(util.isDimensionMissing(width) ? '' : ` width="${width}"`) + |
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The svg
object is now given a size because if we're wrapping a span
or other inline component without a intrinsic size we need to use the size it would have been rendered at using the intrinsic sizes for inline elements that a browser would have used.
return `<svg xmlns="http://www.w3.org/2000/svg"${svgSizing}><foreignObject${foreignObjectSizing}>${xhtml}</foreignObject></svg>`; | ||
}) | ||
.then(function (svg) { | ||
return `data:image/svg+xml;charset=utf-8,${svg}`; |
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Probably should have pushed this up to 172 as well, but I'm tired.
@@ -238,9 +291,22 @@ | |||
}); | |||
|
|||
function newCanvas(node, scale) { | |||
let width = options.width || util.width(node); |
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So here's the big fix for various unsized elements... we get the sizes from options
(like before), or calculated from the node
(like before)... but NOW we also handle NaN
or 0
values as missing settings and apply the official specification for inline elements (e.g. 300x150 default). This makes svg
's of a span
(or a text node wrapping in one) have some width and height so they will convert to an image correctly instead of throwing.
// per https://www.w3.org/TR/CSS2/visudet.html#inline-replaced-width the default width should be 300px if height | ||
// not set, otherwise should be 2:1 aspect ratio for whatever height is specified | ||
if (util.isDimensionMissing(width)) { | ||
width = util.isDimensionMissing(height) ? 300 : height * 2.0; |
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According to the spec, if there's no width
, but there is a height
, set the width = 2 * height
. If there's no height
either, then fallback to the standards-defined intrinsic width
of 300px.
Next, we handle missing height
by just calculating it at the standards-defined 2:1 aspect ratio so divide width
by 2.
@@ -269,10 +335,10 @@ | |||
return Promise.resolve(node) | |||
.then(makeNodeCopy) | |||
.then(function (clone) { | |||
return cloneChildren(getParentOfChildren(node), clone); | |||
return cloneChildren(clone, getParentOfChildren(node)); |
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Swap the order of the arguments to follow normal .then()
construction (i.e. optional/additional arguments on the right)
}) | ||
.then(function (clone) { | ||
return processClone(node, clone); | ||
return processClone(clone, node); |
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... same swap as line 338
@@ -289,7 +355,7 @@ | |||
return original; | |||
} | |||
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function cloneChildren(original, clone) { | |||
function cloneChildren(clone, original) { |
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... swapped to match line 338
@@ -333,7 +399,7 @@ | |||
} | |||
} | |||
|
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function processClone(original, clone) { | |||
function processClone(clone, original) { |
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... swapped to match line 341
@@ -493,25 +559,6 @@ | |||
return node; | |||
}); | |||
} | |||
|
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Moved up inside the toSvg
handling
@@ -625,6 +673,10 @@ | |||
return url.search(/^(data:)/) !== -1; | |||
} | |||
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function isDimensionMissing(value) { |
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A new helper to determine if a width
or height
is not specified in px
(or not specified at all)
@@ -807,34 +859,35 @@ | |||
} | |||
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function width(node) { | |||
var width = px(node, 'width'); | |||
const width = px(node, 'width'); |
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A little cleaner construction
} | ||
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||
function height(node) { | ||
var height = px(node, 'height'); | ||
const height = px(node, 'height'); |
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A little cleaner construction
let value = getComputedStyle(node).getPropertyValue(styleProperty); | ||
if (value.slice(-2) !== 'px') { | ||
return NaN; | ||
if (node.nodeType === ELEMENT_NODE) { |
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Only ask DOM Elements what their size is ... we can't ask a text node, comment node, etc...
@@ -1171,7 +1224,6 @@ | |||
return defaultStyle; | |||
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function computeTagHierarchy(sourceNode) { | |||
const ELEMENT_NODE = Node.ELEMENT_NODE || 1; |
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Hoisted above.
Fixes #62 to allow creating a image of a bare text node (not sure why you would ever want to do that, honestly).
This works be wrapping the text node in a
span
, replacing the text-node with that span, doing the clone, and then restoring the DOM as it was.This fix ALSO caused a lot of cleanup to support unspecified dimensions of the node (since text nodes have no intrinsic height/width).
To fix testing stability issues while dealing with this, upgraded to Tesseract 4.0.2 and killed off use of jQuery in the unit tests (as it was wrapping the text-node and making it act like an
Element
).