Amazing Slow Downer 3.5.7 Password

Amazing Slow Downer 3.5.7 Password

Amazing Slow Downer Cd
Amazing Slow Downer 3.5.7 Password Reset
{'cells': [{'cell_type': 'markdown','metadata': {},'source': [
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]

},{
'cell_type': 'markdown','metadata': {},'source': [
'Text can be added to Jupyter Notebooks using Markdown cells. You can change the cell type to Markdown by using the Cell menu, the toolbar, or the key shortcut m. Received unexpected end of file from sftp server. Markdown is a popular markup language that is a superset of HTML. Its specification can be found here:n','n',''
]
},{

},{
'cell_type': 'markdown','metadata': {},'source': [
'Text can be added to Jupyter Notebooks using Markdown cells. You can change the cell type to Markdown by using the Cell menu, the toolbar, or the key shortcut m. Received unexpected end of file from sftp server. Markdown is a popular markup language that is a superset of HTML. Its specification can be found here:n','n',''
]
},{
'cell_type': 'markdown','metadata': {},'source': [
]
},{
'cell_type': 'markdown','metadata': {},'source': [
'You can make text italic or bold by surrounding a block of text with a single or double * respectively'
]
},{
'cell_type': 'markdown','metadata': {},'source': [
'You can build nested itemized or enumerated lists:n','n','* Onen',' - Sublistn',' - Thisn',' - Sublistn',' - Thatn',' - The other thingn','* Twon',' - Sublistn','* Threen',' - Sublistn','n','Now another list:n','n','1. Here we gon',' 1. Sublistn',' 2. Sublistn','2. There we gon','3. Now this'
]
},{
'cell_type': 'markdown','metadata': {},'source': [
]
},{
'cell_type': 'markdown','metadata': {},'source': [
'Here is a blockquote:n','n','> Beautiful is better than ugly.n','> Explicit is better than implicit.n','> Simple is better than complex.n','> Complex is better than complicated.n','> Flat is better than nested.n','> Sparse is better than dense.n','> Readability counts.n','> Special cases aren't special enough to break the rules.n','> Although practicality beats purity.n','> Errors should never pass silently.n','> Unless explicitly silenced.n','> In the face of ambiguity, refuse the temptation to guess.n','> There should be one– and preferably only one –obvious way to do it.n','> Although that way may not be obvious at first unless you're Dutch.n','> Now is better than never.n','> Although never is often better than right now.n','> If the implementation is hard to explain, it's a bad idea.n','> If the implementation is easy to explain, it may be a good idea.n','> Namespaces are one honking great idea – let's do more of those!'
]
},{
'cell_type': 'markdown','metadata': {},'source': [
'And shorthand for links:n','n','[Jupyter's website](https://jupyter.org)'
]
},{ Cyberfoot 2015 serial key.
'cell_type': 'markdown','metadata': {},'source': [
'You can use backslash  to generate literal characters which would otherwise have special meaning in the Markdown syntax.n','n','`n','*literalasterisks*n','*literalasterisks*n','`n','n','Use double backslash   to generate the literal $ symbol.'
]
},{
'cell_type': 'markdown','metadata': {},'source': [
]
},{
'cell_type': 'markdown','metadata': {},'source': [
'You can add headings by starting a line with one (or multiple) # followed by a space, as in the following example:n','n','`n','#Heading1n','#Heading2n','##Heading2.1n','##Heading2.2n','`'
]
},{
'cell_type': 'markdown','metadata': {},'source': [
]
},{
'cell_type': 'markdown','metadata': {},'source': [
'You can embed code meant for illustration instead of execution in Python:n','n',' def f(x):n',' ''a docstring''n',' return x**2n','n','or other languages:n','n',' for (i=0; i
]
},{
'cell_type': 'markdown','metadata': {},'source': [
]
},{
'cell_type': 'markdown','metadata': {},'source': [
'Courtesy of MathJax, you can include mathematical expressions both inline: n','$e^{ipi} + 1 = 0$ and displayed:n','n','begin{equation}n','e^x=sum_{i=0}^infty frac{1}{i!}x^in','end{equation}n','n','Inline expressions can be added by surrounding the latex code with $:n','n','`n','$e^{ipi}+1=0$n','`n','n','Expressions on their own line are surrounded by begin{equation} and end{equation}:n','n','`latexn','begin{equation}n','e^x=sum_{i=0}^inftyfrac{1}{i!}x^in','end{equation}n','`'
]
},{
'cell_type': 'markdown','metadata': {},'source': [
]
},{
'cell_type': 'markdown','metadata': {},'source': [
'The Notebook webapp supports Github flavored markdown meaning that you can use triple backticks for code blocks:n','n',' `pythonn','print'HelloWorld'n','`n','n',' `javascriptn','console.log('HelloWorld')n','`n','n','Gives:n','n','`pythonn','print'HelloWorld'n','`n','n','`javascriptn','console.log('HelloWorld')n','`n','n','And a table like this: n','n',' | This | is |n',' |------|——|n',' | a | table| n','n','A nice HTML Table:n','n','| This | is |n','|——|------|n','| a | table| n'
]
},{
'cell_type': 'markdown','metadata': {},'source': [
]
},{
'cell_type': 'markdown','metadata': {},'source': [
'Because Markdown is a superset of HTML you can even add things like HTML tables:n','n','n','n','n','n','n','n','n','n','n','n','n','n','n','
Header 1Header 2
row 1, cell 1row 1, cell 2
row 2, cell 1row 2, cell 2
'
]
},{
'cell_type': 'markdown','metadata': {},'source': [
]
},{
'cell_type': 'markdown','metadata': {},'source': [
'If you have local files in your Notebook directory, you can refer to these files in Markdown cells directly:n','n',' [subdirectory/]n','n','For example, in the images folder, we have the Python logo:n','n',' n','n','n','n','and a video with the HTML5 video tag:n','n',' animationn','n','animationn','n','These do not embed the data into the notebook file, and require that the files exist when you are viewing the notebook.'
]
},{
Amazing Slow Downer Cd'cell_type': 'markdown','metadata': {},'source': [
]
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'cell_type': 'markdown','metadata': {},'source': [
'Note that this means that the Jupyter notebook server also acts as a generic file servern','for files inside the same tree as your notebooks. Access is not granted outside then','notebook folder so you have strict control over what files are visible, but for thisn','reason it is highly recommended that you do not run the notebook server with a notebookn','directory at a high level in your filesystem (e.g. your home directory).n','n','When you run the notebook in a password-protected manner, local file access is restrictedn','to authenticated users unless read-only views are active.'
]
},{
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jUnJzgZGhsTAzNEBCUGKCksF0orLRJFPC4fAVY2SToPH/2gAIAQEABj8C/wDgeaedwka7yayphZ3TytQrl8K9xuIO8ff2Dw45jFmbrtb+9JA2FikzIM7FdZPbUowufxpu2Y3+8+WxLb+ao3tV8P3PjydZJq2I7n28yT9q2MHiC3WQKj7zgVIAwzi1wB1mjAJozKBcpm16WwDQqkdysbX1m2h4Z5z3ty3JlOAFYFuguPhRxEZswwmZT+WpJsK+JlKa2YSGpMBjGMjKuZGbf2HwDPiZBHGOJrkuXZL7i62H3bDLiGkHJarKd4pVZocNENw3UIZXhkvq8ZHq99TT4bDJFNEucZBa9SwjnRy6/XQOu0rj+YaVxcfOSTPUc8fMkUMKxnn/ALV3NxJN3V8j9tv9qv8A+GPhWIb/AL37CsZl3Zpbfq8DCYBDwzW6ybVFPC78rmCtc86sPNiG1LGdf4RU2JwkmJYA3KoLhRXeONA5S10car9RozTyLHGN7Gs+HmSVelTf7iuaKnE8ow/yxerGSSPzkoSwSLIh3FTfRyMheWUb1ThRjhzJKBfI9Ru7Hk3jGXq6aOLwuIklaMZmvuYVyMpzNF4s36OFYrucx1Ndf0nVWCxyb7e9T/vSSrzXUMKkboQmu6bga4eTf41yBO3h2y+rhRwshsspAuPNqXuZKNSzZj1MLir/APjVN6c/AVjD0cp/V4EabxHIv8uusHhh0s5+A/euR3NySxes765U75nLftU2IiHiwzvq6Kw3c6PWzHOw9wpcRhpUEttySWYVEO6JviPtVyJx0Gfoz/XyzGwGsmj3P7nEphRvPSOk0OXQ4mTiW3eysvegj60NqE0LtNgnbX0HqPXUeJgN0cXqXD907k5nuL72rD4nDKRAdpR8RUeMi2uTIcH8J/4K73nJfECIxZLb+ArGyfZLIPZf+9QYzcjlXPwNLLxilB9tYRuKpk9lYpuiFz7qxGGwSs/fCZZFVM2qu9pLqJhkIPTWGbpaOuXA2MQub18aY9ERH81Tq8qKUkLNc7hbfWKlGsGNjf8AMPAxOM4DO/tNYbC7wMiH23NYTAprJ8YR7h+9f9NeWWEOvzd+mi830mbn/hHRQxOJf/DpNYHs3UHikV1PFTcVyMb5ZcQcot0caPdN8RlfJynJ5fs1NDISywuAhPR0UBiMTDETwZ7UHjZXU7iDf65Ll3yEJUcgG3PtsfhokwOOwvIIHyrJf3mpMLLzZBv6OusX3Im3qSw7RqNQd1IBqc5vzDfQxcOvIOWTs41N3OlO1GDGew7qnwGNLo6ocuXygal7mYzVHI1r9fA1BiwNcb5T2Gi29+9/ev8A+U+FxUchGbMhT4V3QwuHw8qOMO5W/GsTOUsWkC3twFQ4/udFmJsSehhWEx8OTkUKZ7ndY0I4iomRsyE0e5Mkq8oynaG4a7189hv1H+1SsziSZhd27OFYifGyO8VxyZbp130OgNiykX6KxEc+Fzk7LLexFqbum8dkUlj0DoFKm9IXH8tYLsj/AKqxE4Nny5V7TRxU87xAm0YUe+p1OJ5blSPs2talwwN4Yzk/KN9S9zVxMb3GUorWPqqVo75E2tZ1s1T42XECPa5zC9z0U/cxnvHtBlvqDDiKDYiaOIE2BdrfW5Cu+Ng9QqDtQ7DDRHMwHKrJZT+1YNpOdyQrFPHzQXv8KmUC7x+MX1VJgJNbQ8DxU02DJ8VI2T1Hm1Hi90chDnsOo0MVh0viYuj7a0cJjVaKe2VTIOjcTXemKZXNzqG6xosYnfqZ6PeuGjivvyjw7HWKCIoVRuAGm+JwsUpHFl11ycESRoOCi1YjHiZ5HlvYEc25rASfgX+s1hsCNx8Y3wH71hsIs6RzKuUo2q5qacGz2yp2mpe6Mg2pNlOzjX+DBXDRSGQdgqHuPhtqxGYDix3CgkZHKBcqnpc8ak7qTc59mO/RxNZITmhj2I+vrqE4i7lFWMAb2NqixcasqyC9j9ZaNwGVhYg8afF9zwZcI28b9XQf71dsDLynQGFvbSSzoYcEh9QHV0mssdhJlyQpUndGcHlZ+bfydEmKwMbci18pC3Wx4Go+6WLRwiuHLkWvbcBUffcZbk91jarD6lhcam5Lo3V0VHL3QaAsF1q3OU9VR4rA4uRIW1+VcUphBbkXzMOq1f8ATEgAbLkEobh2ViO6mIS0kguoPRwFTd2MVrsTlPSxqPuZh22Izk9f2jUfcvCHK7plHUlYaKRbZHzMDwtrpcPEx71i4/h4mliiUKiCwH1vlDg8OX8rkxehNHFnZmyJ0Cm7p905M8StbL5R6OygqiwG4fKXJtW1iIR2uK+lQ/rFfSof1itnEQnscVcG/hNBOgeNhYg1m5bEBPIuKTDwLljQWA0ct3jh8+++QVJHAMzqQ2UcbU+ASBc2vK99a+qp+7eNuLjZv5PT66n7rY0f4bD7Z9W5axM68/EBgx6L765SRbYibabqHAfXZcI/2xqPQeFT9xsUMr5iV7eI+QzSyKg6zWp2kP4RXicMo62N6+dyeaK28TKfzVcm/g3BtWxiZR+avnc/nCvHYZT1qbVrdoz+IVmikVx1Hw+WkwkDyeUUF6gw2AjzxlvGge6pMMh22GVj0sd9d8Sr/h4NZ624D6/B3S7lgctfb1219Na/AzMQAOJq0ZMzfh3VsEQr+Gs0js7dJPhX5J7ebXMb2VdcNMR1Ia2oZB2r4WaN2RukGtsiZfxVaQmFvxbqzKQQeI8LvZpjFZswYC9JhYdYXe3lH7iLuwVRxNFMIvKN5R3V4+UsOjhpsK1QMo6W1U8s067IvZRXE1G5w0ZYjeVvWwir2CpfN0RdmjbRW7RUmwvONOXzqQfsmvEYhT1MLVrgZh0rr8DxEpUdHCgmLXk28obqDowZTxH3MUj8bL0DcKvNJccF4DSXjiYoN7cK2z7KjdIlDEa2tr0S+boi7NEvm6IuzTJ5xqTztMmZRzjTPDLlZTuavHREDyuGm8MlhxXgaCSeKl6DuP3GZZnCqKMeHvFF7zp8Smz5R3UGm8c/XuqUAWGXRF2aJfN0RdmiXzdEXZpk841J52mTzjUnnVYi4otD4l+rdRVxuNr6RHiLyxe8UJYXDKfuC77Tnmp01nmbsXgNFlBJq8nsqG3Rol83RF2aJfN0RdmiXzdEXZpk841J52mTzjUnnaZL+UaeXDmzqeaeNGOVCrDgdGeFu1eBq6bLjnJ0fXsiWac7h0UZJWLMeOjYGWPi5qZYl15NbHedEXZol83RF2aJfN0RdmiXzdEXZpk841J52mTzjUnnaZPONSedWWVdfBhvFbYzR8HGgSRMVYcayPZZxvHT9c5KIgzn+Wi7sWY7ydAmnusHvahHGoVRuAqXzdEXZol1jm1vFRK2IiBtuLivpMP66lUYiMnL01zhUSviFBAr6StSKuIUkrXOqNHnAYCvpK19JWnIcWLGnEkyqS3GvpMXtr6TD+unsy848aku6ja6a1EHRJ5xqTztBjkUMp3g0ZoLtB710B0Yqw3EVyUpAnH831baZV7TWvExfqr6QD2VqZz+WmGHjflOBbdRkkfMzbzW+g1g1uBqwZFHUtfP+6ir4hyDXONW5V7dGatbE+v6rqYj11zjXi5nXsNfSXr5/wB1WLIw61otYLfgK30JI3ysu40oxEb8pxK7q1s4/LX0gDtrViYv1Vssrdh+R25o17WrXiFPZWrO3YteLwzHta1bEMY7ddc9V7FrXiX9Vbc8jdrfeOxPIvY1asS/rrnq3atbcMZ7NVeMwzDsa9a869q1qxCjtrYmjbsapI/JYj61qBr5tvZWqJ/018xL+k18xL+k1qw8v6DWvDy/oNfMS/pNfMS/pNa4n/TXzbeytYP1qOPymAqYdd/kteqt9clAuZt9a+TH5q2poh7a2sV7ErankPqrnyn11zXP5q+Z99fRlr6NH7K+jQ/oFaoYx+WtSKPVWofK6xWtFPqrXDGfy19Gh/QK+jR+yvoy18z765rj81c+UeutmeQeqtnFe1K2Zoj7a1cmfzVyU65WrfWrX8lCOu9X8pAa2I3bsFasM/r1Vycy5WtfQ0UsjI29bca18o3a1MAvGnZoY2OfeVppQqg7lFuNF3N2Y3JqwraHjX1v/b7n2R41Naf2qxoOhsym4NLKVUncwtxrMsMYa+8LXNoW5RexqWKKRnbe1+Gjk4EzNa9a8M/q11txuvaKv5KE1mZFJ6SNOdB42PWOvQk0fOU3pJk3MKbtp/P/AGrklPi4tXr0d9ONiPm9Z8Dxkip2m1Wjljc/ha+i5NgKzIwZTxFXNZkYMOkHR4yRE7TatWnIJo83Rm0nIytbfY6DlYG2+x3eDeR1TtNqupBHSNOWTERIehnAq4NxUiRSo7RmzgHm6Lo6sOo1mkdUXpY2r6Zh/wD2CvpmH/8AYKuNY099INiTndR0ckx8XLq9dHtGgzvzVW9PNJzmN9Gdx42TWerq05lRQekDwSVHi5NpdDYNzv2kpu2p3Bs5fKvbbQsSC7MbCkgTco9vgYl5WLHlGA6helkeKaG/NYqVp8HinLzRjMrH7QqXkyRlYFusViMA7arcon7/ALUmHVrNO/8AKP8AgrESMx5NpLKPjSQ4Y2nm4+SKeRY58Q29iAWpdtmgvtxGldTdWFxUmAgkKQR7LZftGhiDh5RF5eU2odzsVIZFYeLZt4PRWMdGysIzrqBs9o5GyP66xboSrCFrH1VlzGzRm/X4EuK3sNSDrou3K4mY9AvQZGcJm8ZEeNLIhuri4pMFhWKSyDMzjgKaWLDzTAc5lUmjyD3T/LfdXfMuufFHlXJ91SYTDOUwqnLq+3ToGOVojcVhFvqMh+FGbCw5kBtctangmXK6GzCsLC3OWIX0vA/2h7KaJxZlNjoDk3cEK3bohwaHcoZ9ALDxce03yL2G2m0uhJk3qb1nHHXQi+yuv16GxbjUupe3wUBFx35/qrFq4vaMsO0VD+JWHuqbDNukQrUPKbNpOTf4UYgdmBQvrrDREWbJmbtNQD/sf6jUJVQCxJPXUj4fByOk1iCi3F6w0MnPSJVbttWIVtYOKYH9VTxlBk5Ii3qrB+f+1Y30eiTEk3ZsKc3bbXQ9G3gPDhxmkBDAdNYiXFw8m8hAUHfYViMvVf2Vggf8lfhQ9EKwmUWulzWMCWtylQejX4VjMRPMZpVQlLagKPojUS4dlEkbXs3GhDM6lrl3I3CkJ3T4jMey/gri0GptTduh4PsyW9tEmmkbedCAjbfab5KRALKdpdDX+zV6AGsmo4eIGvt8FP4z/VWMLmw5Iioj5KsTomI1CTxgqCKUl+Uku5PEcdEH8OP6jWH9fx0z/wAW39dT+jb4Vg/P/asb6PR3UwTHXHGzr2EUPRt4JdjZVFyaYpvxM2rqBNLGvNUWFD0QqDFP9iHUOk080vPc5jUHo1+FY30Ro+iOjFyX15Mo9eqjLbVFGT+3gyQ8SNXbVjqIq9Lb7WiNCLqNpvk0xIG1GbHs8BSRsx7XhYkg2Imb40mHeafE+Sm+mxGIH+JlG7yR0aMLiwNasYz8amxBGqKP3n/h0Qfw4/qNYf1/HTP/ABbf11P6NvhWD8/9qxvo6nw7KCxgbJ1NwqbJbxkZicHoND0beDyCnxuI2fVxpsa42IBq846B6IV3J7iQteJU5TE2+FYtVFgGsB6qg9GvwrG+iNH0R0Q4a+uWS/qH/BWIxJ3yPl9Q/wD3wnI5sm0PAfEHnSGw7Pk5IT9tbUVOojfpacjXI3uHhcjILo+Ls36qtDEkY/CttK+mH71jj1p++iD+HH9RrD+v40sGJxKpIeFXBuDU/wDFt/XU/o2+FYPz/wBqxvo6PojWIQCyuc6+uh6NvBkKHMieLjqGAi0nOk7ToHohTY5h4yc2HUtYzz/2qD0a/Csb6I0fRHQsN9UMdvWawqcSmc+vX4Szga429x0hRrJ3VHCPsLb5SUcG2tMUPkrr8JP4z/V4A9KKx3nJ++jDSfZMNh6j/vS4bFS8k8d9431NiYr5DqW9YWN9TLCgPsrFMw1riWa35r1I8cpaR0IEVtd6wluDX91Y30dH0RrDY5Ru8W/7fvQ9G3gYmdTZgmz21hpsV80j3NAd/wAWvtq4Nwa1HdEtRYfEy8lJELWtvqfExqbSvsio0O9VArG+iNH0R0SBTflp8i9l7UFXUALDwpYfKXVpiHBdr5WCfpBU6IE/HfwxiTk73E/K578L38Aw4e3KBgwHTU/fQCvKw2egDRyEpysNaP5JoqiRyr5QalxPdJkOQ3WJdft0d94VxHiPtA7mrLyCjrzi1GWVhJiWFiRuUdAqfChspkSwNSYrF5F2cqgG96mwoIDMLqT00cVi8iAKVABvfwJsLG2V2Gzerd63/MKt3rbtYVDA5ztFHY241iu6GP5SDETP4q45o7KyqkUg8oPS4vHsrOmtI13A9OjEYZTZpEKg0+JxaqihCoF73plU5WI1HopJ8WirHFrvmvc/ITp+O+iefoAUfKiKUsADfZr56f2j+1CdHkZh5Vvu8zu8isfJtXz0/tH9qMURYgm+1/8AAP8A/8QAKxABAAECBAUEAgMBAQAAAAAAAREAITFBUWEQcYGh8CCRscEw0UDh8VCg/9oACAEBAAE/If8AwPCvWaTcJc6PSrYE4Muif95O03SQHyq1vwzGu5ijssEyUwd3/pyqZL9tikkBc79yKlT0Yv2D7oE4VgF7y0URLN6Xl2qN8YCJrHGX2mXJq5xwZqvCJVhqS/8Alj9aOqcDJwNYiWyB5zjWWXgWGH0GK5nU0KLBihVeuVCJJc/5jH/IBNMNBjeGQdDOk4jg/OFMqQloLonKgoBjvBZ7J0pCo9og+eMu0ATrMw0zU8gUmoBETLsq7NLbX83VjabXsSo5WMY5furKw2GEegvJC1zjPjvSl8qmJjLGWFNwlFbkdip6dpLTBFSQ2w8DENaxRamArb0r/wCEQiAF1cqzakPm4VjDONrtWTB9HBgQrMepbFJ1bihTaMauJCHCDH7daN8SGbkjDvWJquuj9LdKt6i9m3HtPvU6YrXnD4UpM8gEmsb8o2KWYYJ0uXtNBeUgbr/b2plGZgTY+9DVIs4kWOc9qsl094oI6YxV8xD0NCo9n2qNLEPlHyUi5z9IH7UMVDR2LPhoIQbyXQPWadIQW9n3n2q/5BdtJwajK4yzibTGdRZ5RYx54UIgjI/zi6HkYBWc7Pg+L0K1DE4lsKTSyWcirF4jD4TdVvqycTZ3oBFtZROFKXUm5Fp/MaV4BnmN/GlHL6p5GR0iKa7ZPMN+FPMeO1cDmINgj9VciZDsrE/LOegT9whE5HN96QCrPhDck1xOtWFyvtWEOAdtvo9az80IMbVDZeyzSSmU2/EbVOHkgegdmhnjJt+xVwSUWNJGOiCVtH9VbEgPYfvR1ATcAtXKSawq3FTqUHVdBcOL4OtABLQ7Oqcc6y04gI+Ed6w86CT70AE5hj1/mTPScmjj2o3vOTo9uDLHHYCYA0cZqIRimKWQ5Vgco6ND1s9KiGi+CeZHeg5mKZ2We3xUiOSMiZ/PtRyXZMIDzi9RYlPKZfZoLkZtn9h70sxNJ1zqBGzKHHFS1ZYdRjEOGd6FZGHiDLq0b5E0AzF2iKkUIKFv8M5Kyyih0Sh9hkJRowFmcaEKRnIIyNqU2hJjkNsOEQ+HUTGmJjHTisjDa9CbNMxYiTWtLweRl714TXTYv16RT75kLxippTE0YIllLdnsU1in0NsV9WaAfWNEd0RlR8ubNKwfBQjBV7sxkFS7pMl+hKhKuAF0vQiSXP5Qir0QY/NFhd7EYduALpM8iM/akjVSLnFjtUdGK8Z1ZXe7OLtNIqIt4K8+5UrBCznc+laj+5f6LVqKYG+hzMqbGJIFlYY0KZXboyKlQzIiCihFoV15uPrQAIQjnR49iGA2OIS2IJ3UTwyHFMWFjZhvnSYkgW+1B0sk3/DsoUw05ZsazV+9+HfugvQTORxdX4pzaGHB7dFj3qR1K/yYPmu/WbT5PSmLrMngS26NS4rhGzz6mmacmsofVRYisU/kpDJhgcSk6xgINDtS3tHOr3dqtSkROsJYmtFHfF5QRPIrAaF4sy9X44CVLqyul9VECc3/AECl2g1cqHEdrUAAgLH8IkmVJqhXzXvdwaEL1ZZmIQ2Gyd6gv+W6zE9KgJ6gEPHBjvNZJYoUfMtZlHHPPQ+az7HZH0Y7VZYNDfCV3f3TkDDsbr2qW4kBgB99/VH8SfIP5d5OTLvooGIgYPDd2tTnIqsi/IJoYAoAsH5D4Q1Wlo5KPukL1yFq5aOaj7o+ENR9WtJU1IhlJwXvE8ebSXnud21ph4DiHEFQFploVxnM1c9WePM8y8vTDSY24F3QCX+6XAM4Icw+KjLMyl/5sQyGLdd71E8pPTbsSfg3TvFU0aS+9qUCfGCKXsRslEQNpMKZlLVfSzKWo0RA2k0pe5Gy1CBPjDNRRpL7yt07zevPDEt7qSynIDCPbj2oKEMvOvMqe/VJC3kP88xkGCIDD6tShZOcehldspAVKgWVnup5MuAv703YMZT6QVgJaFRUYsq/1lBWLBUPau4ilIjCQ+kuQYQmngz4C/vUKhZXe6iV2wkj6jiMcciS5acaf5uGIcx/4WIDxICvZAo/upbLJMI6cQgCrgFRK48c0NHmpPVrHDmNXmMIs29CQBpBXd+Hj78BIA0kpARGURnVioo7G9Sz5rSVMpjxxSIwkJxlsslxrpXugU/1WADxJH/jWXlaS5u1KsGBbocTuDKEDrQLz7U1P/Avrw7vw8ffh3fh4+/HyWteHtxmEZ3WlDoGKzbXKmuXV/dxlWTEv0Ksva0lzZ/4ecgZpjLGfOOOpVe2etG9Dren7okwMALHDx9+Hd+Hj78O78PH34+S1rw9uPkta8PamZksiWaN6HX9P1WJ8oMOLGWM+c1nIGP+BPyFYb/oVchDC7PDZPQUWaaEEAP34d34ePvw7vw8ffh3fh4+/HyWteHtx8lrXh7cSBAj81HRgcqzJrFAcHCxCON3an5CuN/2P5yZxtne0o17rhH4BtrH7axs64Y8ffh3fh4+/Du/Dx9+Hd+Hj78fJa14e3HyWteHtx8lrXh7VgpysR+Qbaz+ngo17CgzjbO8/mKgPY0atJKGUXeBJYoMOTtRa3gFiu78PH34DNBnaa/3qPF7wEvSLD7SlrlAGPgl7Nwva9f47S36AQ3rZVeaaEda/wAdr/Haa8QHrU0/ALahmKorB7SmFQwRuo236dK7Gjw8lrXh7cC1vALNElikx5u3BLwyi5QoD3NGp/G+JwrC70tfFItdvGl7CLQh3qQhUpnUdVXqxOKNMIYIAbVnQ5GgAlCa1/q0ATD1IrvPfxXaep/oUIg6yi1hfXZrOjzNEpYIQb1erE4IVHVUhCpDKrWEWhLvXfxp8UiVjd6SvmcPw9mmK++ZWOfMzoU9Dv2r5Z1MA5IrAx7K76S03Zf+eWZK76SViY91YhyRXyzqKjod+lY58zKvrmV2aZqw0dkf5QEqNihyReukIS7LjFEpCeVCkB58SKJCAu6pMlHroCRG5/KsNPdGtJnvfhBWAlq/F7RrZVg0EsgK+SNHdkl9U31/20DsgKNjzR/VY9zCrXvN19wzWDVsGqOxMaAjkxoCADb8oEAm9ARzY13JjWLVGLVvqGa07ydYdyCp2HJH9Ujugab6/wC2jd0h9V8EaYFBJmJWyq/F7QpEYSH8Okx2qwz/AIH1Xep2sMvJ9qk3wDak6NAWxBG3PGvDp0qxAEFBSMAClisPeVCclIdmBm0EAVbAUJgYxpp0f8cVzNNdeqgoCJZGkOxAyax95UoGNIIq2A0rRUkJ4TSFsQRtywoOjU3gSG1Y5eT6V3qcrDP+B90AD7AFKLEHCYk4biMzg6EQlZh+jTau9/Nd7+FSkuU75nhKX3i8beiDuWEcq28QHA7MCVWAobhIWRpCIAYrQ5NwlHBUFHCOVIAoRzOMkCcRE+3HECIuIeDJfcXEtH0gAZwToPa8EkeO+NQd6JmS4jI1cKm8rRptToSYWan5hiQe7Xif3Xif3QBBCRM+MJd+DxvwhYcL2yNCU04Wm8WuhToTKcIiDDLiMuBuQ0gT7IBfTasl0BzOCWM9xmV3v5q6MXNCm9R+iCtdkOrN9Fx6acBAFPt900cmp34Gvgo7lvekwQOav+VNgwCuGXz7qVehEHG492kCglthC7rJ7VeW6NLi8/7rFBNr1aiqy2WjODJqFsDajSGluoc6XTKKUpcH3tOW/MkWrMilbQIYlTcEDNksvyaa+aGIypQLH5yX9AngORguxWNZMMw2DAoXAuiBzE1qOYr6iSVnuxphgbt/am9ZNwd2gqXEZGesZNX+5myP9p604lSwscVdNqNKYnswkUMCGUmzH9qMjbYu600B1mTU8ULPWL8cHSw6smp/RBRau0YieCWU5gixwvSckXI/DCpu3Yntww/vzbUtYDhSZt9huifg4fPZ+Z819IMkvGoexOMgkacA2RpaZlGkmNZ4wblN3er2AU3Xfmr1AC6n3Sb60aV8Cpmmpm1EpC8xhehggc2EaMiDGpOkqcC2inc/lXcaFGSzWJgHtR3em3K+qJwpXOvRH29qwWbWsKxsfrV4PehkuqlWhsF62sE96s8CynROJtflrwe1J93MgCQ3rV7GA/opBMwDrJ7en4/PyPmnCQ2m0DZocFBNInd9uFnLn18D2/EMpPoPAMwqyLFZaJtRAGdHb8nzWPpYTsVllYc5qQFA4k2lb++DkbGPfHuNMhwVlxJPKi3Aj5e7j5rVXkNVdz+Vdx4YJHG4nud/VY1TCMgqcggz2D2KK2BlsEV4PeoA4n9gPelNV6ua3ryGjgPwe3CBIJ8z+ypEl1S2fL6Tt+b5DCmZqIRypgGIyUGYcI9kmH4w75Af3wECDjjwuMDPph39TJkImJfSa9OIzeWdEaIT4069OBXYB2SHw+9XUIY6LbscRHy93HzWqvIaq7n8q7jSBE57EqFCEo8zr6rC8eUhln/XWlw5z1/UT24eD3qxxSLIfHUoPh4MAjXkNHAfg9uEdYkNn9tI1WYdn9r1QIgfex78FIC4YcAN9gP7/HnHA2cqNGVA0eJ5cZ8N/VfUAtRvKFlhEB8OIFtPhoFndPtxkfL3USZRkLA66UTMCRMGvNaq8hqrufyruNeD2rtkDX/M+qynFwGYOXNmr8wfNe2HTh4Pesb0HQ/b8Fdj+FeQ0cB+D24RvZYdR+qkIjxFz9R58Z8NuJoyoGrWWsLdz/JARCx68AVAJWtRjObPv+I/l9GvMacKhMVbqvwqZ78QhWbRR/BzMIETRGQb0QzXvggFipKJSExg5VDmZnylXca8HtWMInlY+GvptNOYWisfNGyxLcxGD7xQQm1Q+qJmBIjZKjIKB2xp7CblccyRRu0lMYwKxXy9DgPwe3BXwlOgfagmhg0D1ajOc2XekRRIThIRKz6flhMYi5XPl4SMSQXIv6+flRcBGvonGPZizLvT0xgGYDj78JBmwiX7DasiFBk9GojAIQXVfXC01I8eNTSbXUiSuLwGdG6SZgOVR0g5+k48rVpyEQNyrowzTc+XoPYErBIzDTGGGZF80ainnCKXcWt8gypXFaUtYSsdOlIsmRA+9ID7ENQc+B92wwFLUXxDFNS9srVKbE1EY0t20AWVo/BAxBIcm/CVxiLnd+D8sSVNhM9eEg2cIChfkf8APNnAIoW5nCRMlTYTPT/wD//aAAwDAQACAAMAAAAQ8888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888YU88888888888888888888888888s8skcw84Mw488888888888888888cYMIcc8g4c8ss44IU088888888888888oQYYQocMMc8MAoYQ4Qc888888888888M8I88888462088E88csU8888888888888s088zGfI4zEvKz88s088888888888888883/y2EWUV6np2/788888888888888888E4E0VUVUVpVpGI5I888888888888888E+XVcQeSZbiYjVpU+J8888888xw05KAxASQTCCCCCCCCCCwjiAxAG14wxDCCCGEMLJDEHP+sMMc+PLIDFHMIKCCCDL7eVPd/48004088808888w8w0vlbJu3H88/Q8N84s08wI4Ak08gkEMYM08t6sv8APPPK7LnfLGKPKPPAOFPOHAPAPPPLHnF/PPPPvovPLHKHJNOCEFPKGGEAONPPEvvvPPPPMPPPPPPHDHPHDPPPPHPHDPPPPMPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP/EACkRAQABAgMHBQEBAQAAAAAAAAEAETEhQaFRYXGBkcHRIECx4fAwgBD/2gAIAQMBAT8Q/wBHoXHWCWHX3Vpg9au79SWIOOMuD5YfEuqsEq7wGXQOUuqksD54/MsQ8MJg9aO/9SX9p9QHWJ5WwtGuscA5+KwNR0aYbt74g7EOeOW/CGwAKxTOajtNa+WBYihcHbtlGQVywy3RqNRRhY8y3RnFrDEieVsbT6gOvsXz0CVPD1MsbF1Y4vYxmOiErlhsJrO01r5ZqO01r5ZqO01r5ZpTvNb2JpTvNT2IEBphRLczxSCFbMsyh4+oh56j/Z+uBKxcBY/Zyg4Op+oAtAe01r5ZSCMc3dLY3Zm2D4McwZcYhi8zNvGEI8cwZcY9EKybeMppKhcG3fFJCuSbCVAFjM3xsQ49iaU7whai9iVHF1H1KzMVc/Zw++D67FnFJdjyx+JbKvLzSHvPGh5jLJxa9iMsHJ8x0yJiVrFr9ZgZQ6zzMSS/zvEcGY9dRlk6zMStY65kJdOT5hLLwadmPvHCj4l8qcvFZZjzw+ZYt4JNxamvprZQCqJwlo1B3ibg5kRdHN8QzdbxDNHSDz/HOGd+ucM19Pubz0+5vPT7jkvp9xyv1zi8vxzjkjpHJ1vEBZ6nxB2DzJeNQ94BVA4RLL07y0NYadAq0p9xYhHCFKoziIwxSodu2UrlWhQDLtD4uwDZPZoLLH6uRsJaBqD+rBzniA2bI0ojKDEC4Qw6hVpT7/7VKWxErqxo6Y/HiHUcSnMvrK5cs4fftadcu4fUMSwA1whqrnTD58ymVtifTVRfF5iTEqjqYdGjCFWKhhYPamlhjCrFQJgUB0MerVlFV8Xj0gisxGcmkrayav59vSxk+PxEJzaQAFj1FAUY9Ll9udLhhQFD/An/xAApEQEAAQMBBwQDAQEAAAAAAAABABExQSFAUWGBkaGxIOHw8RAw0YBx/9oACAECAQE/EP8AR4mIhja9cpQ4wd9Za4LAlkDnBrMbgl7hd9JrlKnDZdR0EszXfDc241Y0VxvgyKFMaRuVdCdhOyPEJbF7NIBmr/usyWO6HWvvvLM13zUdRsNNFWZFZWDrgywA6BnYTsjxOwnZHidhOyPE838TzfxdUFTryYUyYzMCspoo/uNXJoK++DnviMyq0nZHiUQK6S6ljxKuLpuYLW2MMrYNNzCkuxhlYB5MIFnJiqCziVAJ5sV1Rh475mor746ueu4jLE4q9DnMAmV2wd1ltzhQPHpFNaehArH67gVmGjpF8ek4UtuLsswu2YBBWo85cnLiHKcSA9NSKUAgfvEcvSJ2H5zjhUcbifv7Sv7+0+Vnys+VnysH9/aB+/tDO4ZVDdvznBcvSC/eKUBlT08CCU9qpxgYADGIqMDFRfKSrdTMULEQXHYwFwggZlfaFKkXqG1NVhEVWJgCEq7RXj+bvc0lGrNeukarulf5NNWPOy66s+ZXpcGI0aFOst9306Q2Zx4D/e1YDYERKzsqIGIBYM48F/nak0gsekVVJRxmUHe2eo7kq6xFVV9RG6Qm2Gzs2xjG6/4E/8QAKxABAAEDAwMEAgMBAQEBAAAAAREAITFBUWEQcYGRobHwIMEwQFDR4fGg/9oACAEBAAE/EP8A8D0mu+WNg3XAGaixhshqjfSU8VJDDJq+y4cOn+8bXeMAD4ljkp1MhdQRRkWISKzBrEC1WIDvXu/6cEZTFBZGTFpWxJOaG3gxE7xMIcOHzmkl9RfCmJSgmcdCCRzFXsplCLIXugIdihiAWH6pyHjqL+Pw0xFtYmDFs9JBFAyoHaRJFe9fAILn1/7q9XoohodmEqCVYEyUBBbGxem8nmrEs3ciLchmbR1ib4LysBlXYqU02Ccq3lFAEEJEbJ/mEBJhlpJhS+pDHiJQrGKM6i3iWru5rJtjEO9qgyhMBhFkguKCnsBcNagJeIq5CDks6klMlZEacwnrT22U5hCeb3qLwDIO6UyBLvLAK8geTWJsmfQtS4M9rEufrSmMhKM0geIfwkchJa+JuFnfvRILNJKCFxcRp61I6Jcosj29ApJD1DCciYExLDS7DoA5wNkokYiNaixTk0wHddKGa/BB2YbPD/hHhdQgBlWsIaKmdo/tRV+wHHesooPsSOvEmvHQrBFcmWGCcTN8UgPCGJlaQHDPFZUB4zwB3hUuAaiyJMTAZzZ60zxjKleUuJNFrTGUTj5HUVMPPANp0Y9Cp3QHcw9kpD7rkhutvSk8FGJs90+mrgIsbk7dsfKklYsp7ABaNiObh50QBPZFNe7KcbSfFR2By3I/1TiIBbmSfv8AC6ISxwAr2VcFvJiCI+sVA1g8QoFtXIUkL2wna55aa6HDIra1xfNMqjvKg2HKccKirYunMoHIClXXIBG4irGES1n5+oDYyg+aJsCRGRN/7yS6owIlV0Ap5XpMMYULye7tOCIKC83IQHCrzVrznKMXT1KLzoVgbNwyYJeO5T9ibKXUtAyPakre5Shkl4iUjYqQdDCSAlmyZxGrxZRQYhw3Uj35iF8LYyHNqs2G9vYD0KJ4QNsLfgF9KCabIXCLtKvFSLfDOFpPQKB5Ag5We3Nqmt7XHkgKRFNGkwMbspcCQO6hOIlaG8VTHuhBZHvUkgWWWNn7olszkkaHyOKcxAZEYLyz1QFUAurpUjbIwtvqelE6y6YH8BUKi5bpxQZlbeCj60TlPZkpLIizNOEjGuBcHcVVq9irothL2Oy8qIo09uBEpEwUgKkoxmgW6ZKK5N4YwtFw5pO1DLJqOFKl0gZWbgpjmo3oFD3BZO39wi51p2+Qnmi0p4tiUk2BY5d+jQqgSEgEYoGAdc0fiEhLJzFCdqW1FliLHAg7t6IRIZYWBWy907KSdDZluvJk340ITMIrB7ICpjfQBMknQlGsUm7hLEsh02HubVMqGRvCe0LupV3X5Rz5KvWpXEiUBACGSRwyzEXHhdTZ4QmLFrzOaiZEOvMJySzGvajly+1fO5CSThrVdWxru0Ea5ih+TZRWlpMCPqFMLA9HgJhQQHGtdrTHjfVS1BrDJSW4LquW8WCht+TCRWwkSdtDD0SeeeoB4LNT2CmCMCKlpcRm1O6AcrmdF4fC2oYA1RJYXpR80BFuUECIQmEuRyTPilPEDOBORMgEYWahzzhDAPcFnQ0oZzUtEReBPakQBIAfuBqLVOL3iYlCASpgsFDvIZjkwkhITNrAN4Wfe2sdiVC6mcUKojBehRLQBBCRGyf2lcow3oXgTQfKZhIlaaCiOz0gKv8AB8m1LWaJRrDUSgSPgVmTfa1gWKvbLMJRKDlY80rRLfEu0ahA8blJAVNWWI7oonl3pxynKRcenHoUqPb5mQ88nka0st8FaWCExCxOtK5Wx3JQnVba0QLkLPYCJO80vEIIGYFuOF/Nn4hpA5E1KHZQwdgCwcHU7eSgDbXHE0t1plDqwZeaMokIb7S5sNrTmZoAiIcFYz4SozRdFoKPhElAkaJnGTbTKkM3rMF7riR2v4VdT/XXPohP708OxsgFj2LiFCgjBeyThJ78KiCiQwlg4fAKVQuUkpddYJbblSMnlyUD3QAdgoch34MoXhK1CgF4X0Rizcbn9kkJzSEiGyKVKvZeFmFcyD3EpT2CZN3AAedXzthCG4wBFsHGKnxUQmAI7cM7wa0kmk25cnW/Ow3pBIblPoOdkJEWJFhjBKbGq9TELEkgtYBpX1TrBKMqFqGAIAwBp/ScD3OnhrhndKGeDUsImFTSzaps8AEhhpNkls2oA1I0BW9ul4mn7y2yLLgqckxa7kzA4NF65OeybVJlaruj4aO4jDUu54F5spvCHlvUQBLGxLGrJOsrSgEAmATUHEImaclQ+zIOWAaHdIWA0B/bQMMiyd5SmlfsUkGIdBYETi1S+fBEQhC0ZIZmN2gA7JAiAAwB/JxN9B70WWOnylDBLSbJ8NOCWE3D5abLDT4SnE30nt+SOJASD9Oo6UzYLCJfE7XvzRUrolQzKt1VWek2DfB4IieYoTN2ShINWJQMxShQLSrgWmYuQ5msc+8pFlN2AG8UDqVnoRTZ9AXo+nTS3mbQpPYtBH/sbM4YGU3b4P7qgykaYL+GE8TQlSTYh3Wog7DufwbKIOXgnNEBrCEfQKc0bKTzBD1aaOnCE9RpEhZkngQpai5Uvv8AiNBcKH2oEBYgnhUoo68JT0CnNWykcwS9SiE1lAHqFbqIOThjH5kZtJVJhUSvLT1VU0helM1vJRlmwvMAtyBDgUD76VbkjLiN/wC/EiJgaZsiSGwZlrjCbE6x+ALchIN1bFAzlBlOXaOw03xasTl3ntFZuwA3l/EkpLAErR8wkVA3WK+7fqib3PZISDX3OLcpkoLIkJ+ObsAF5KL4tGZwbz3mgYyhynBtHcKBbkJBuJZ/ITgoCFBLBC1LxQVEQCOUMTtoAf4Rojk8HK0APhv8kM+w71gkgsrg289VgtAJV2Cuzmy9LvamTqS8xowR6NZw/pilLIqBZXyri8SPtX2u3T375dOLxI+9R1gAMBLEUj9t9gg4CUkK6ORxcH0K7ObL0u9qZuRCJCPXJJBZXLt5oAfDf5KZ9x2o0RyeDhP8bNJ/QNbbF+1SjRPoVhPLfqs80ERm6y8FEDX2j1pkF0A3Blfp9rt09++XT7Xbp798uv0++vYfj1mgdFfPWoJnLE4OF14fFI7jgGfwt4eso0T6lYTyXrFJ/UNb7N+/+Hms4+XQDV4KVhkoMHupg7Hl6x1YwnM+TwS1aC7tptjX6uxQ6/nARgDHT375dPtdunv3y6fa7dPfvl1+n317D8ev0++vYfjR6/hyGyOavBdy82zp9HZoNDIXWjFnxr1VgkBMnuLgbPhrFZx8Oomjw/4D86jfrd+T0mpxlNyE6D956WaQt0wZe1BCmkcHd1oYqYAQF3T7Xbp798un2u3T375dPtdunv3y6/T769h+PX6ffXsPx6jcRRJG+pM8toYPA8NnilOLEcn/AJz0nGUXKRoP3mj5xG/W58nrH97c+CAfuGvapo5Gy9jY46ClRTPOHwHmKvRGQG3q6HBbp798un2u3T375dPtdunv3y6fa7dPfvl1+n317D8ev0++vYfj1+n317D8atpOIB23U4bUqVFM8Y/A+J6TRyNh7O5xWx8EAfdNO39zcZiBPe2PNL0ZNE3XoTsPsBs5em9WSECBX2u3T375dEbiFAWk8h3FNoVkAZFmn0kbL+6Ml45VGCKS/wC1PEqPJUswV91/VD8ccidMUnqeGm/5LWZcc191/Vfdf1VyIgLikaLpGESQvRwTO5KPSTuP7pf6SBElcpNKhAi27tNQ5EwLbp9Pvr2H49LpCBApnYfYDdy9d+h4GRRDUa2OYoD3tz+sfJmZL5U+jhkFHgWnEXH1IrPHz/uKlJQSzurCWMxFS/RMlTRr+hTKt4Mrk1OKjEgFgMBtSS+Cf1V8opgDaxS+fW0JVgELxMVIXbMjP9WAs2JCKvLdWVnmou1Ahd0mjAtSLHyKSHyT+qnEglgcjvRKv4Mrg0OKdP0Kh+iZCioSUFs5qSEnMRWePn/U04A5+pFPg44FT4Uo+TMyXw/hm5gyJ+i1LSxpP4lSAscHyKi2yPtgUmAPkx7nxQCFP1LNLMDsj4lSl40C9FpKIqsq6/56QREZE0qEtGgXoNLEDsj5lAAUfUkVEAfJn3fiotuj7YlIAWeT5NQ0s6T+ZUXMOBP0GtOCzhD9f2uRHKlRpW4h8Vwm5L8V9K/VfSv1TpaEwr9UaWpMC/VfSv1X0r9Vwm4L8VGlboHxXIjlD+1rwWcAfuouIh/Aflf4QSEwBK1c2nNhPFIZokyJyMBqrYyVBwn5o9BoEeLm/CkAibyPd/WkLNP/ANuaF9PPxTPfbC+IpYZR3/7qDh01S/dQWEzefzU5l7t8lRNuIIMHpToQsoD9VxIIQfy8SCElGhAyCP1UzfiGTJ6VGYexfBUllM2j8VJya6ofulllPb/up6fvlfM0L6+fmiFmn/5cUAUXaB7n60CvFzflU3CPin1CpaGN6S1EslCYosbzi4vikSAyJCfwzcTL+C/IVGWjvELQ0Drg+BKdIZ1/5lFF8BQisIlnD6Vo271gAVIGEiyWcXJ2qL9kfAowsMKsA07UAJJ4FLZagVeLByyDQiXgprBFLoytLhcAlVwFDLQ6zkbS9V/xz00NU5G0PUKXC6BCJkaKwRS4MjUCrxYGsh0Zk4agm7s8u4Vpw7KUkRlbl04NYAFSJhIut3FiN61ZdqWo4CABqrYyU6wxr/3KaR0yfIlTl47RKUG+OEhMwKSUAAACANOhRnGN+zyEnJz0jY/ssZHhLPenatymV6rkZK+v3dAKSggjb/vEeOeiyXAAtlnsL90/AhnWvxCUmlJxdTHgXo2/g4BlVwUatJNNwlmhgMqIANWscbAbyW6FLmQ4OJSaGokiSJ1lsVw57XTPXZ6dcZjDx0gKZwXAYeH8XYlAQvEtHeWSAbiWev8A8inCho9fwYG4maA8sCiMCYbPo7UgKoBdXSoOgAkdpHNQ9eATO6B1kSCfiWkDhHU6rD0CC268C/ceiSAgrb/rKeeKYKLp9Y6PBIoGFxY5WDzU7H9knAcBY7dAjHLH6NAy8vHQCAIkI60b44SEzChL+KYBqIkW+yzGydLBiXXA+chOzvX1+6mmU0MJcTkJfFJSqq3V1rkwKyselAdIiGHVO7L+AlnMCBGcABamfIMbULBPcofwpVNkNUbspwpcx4pBBHiVeKVgpGMYDvJHCq3V0pDd4geaRdbZI4TSzrEF7hlthnUoHZaUWH2fZ1IU80CuAjb8Jse5EpDQsizwIR8iUlf8yHiV4PBZmmr+Rp7JGPM0tABETMldJROENGpWVViSBR0YWryeGj0HRcGXF6fKJ8CiR0TegX7vosBd0f3+AGe5k7u4N3goI517XgmDYIKAJIEIwjYjMMSPpQnid0ZPIlK/Y5E9R0Qu0OVk1CGgrsAy67001Iw2RGVh2iYvNT83sGIfC7nUvAoSFAWWzGEZoa34U8gmJJYeXehcxO4CFNYl6tMuEiSQUJXiSncmEKWS1OPBbIjR4VPHUKgcRzDcOzFcGBWRj0pKEUS4mlKm08sqC7ykPnpcARjlD0yV7m3TEXZiZF/ukxsP8JmpGEvIsd5e3RirIJgBlcJJ5pgZd2FmsAVzCAT4D136cvDmQ9gg/wDH4x9AAkb8lRQ9dKwTZkpKgIbin5CkIFfcQPBh8Vdc0RF9J7Q9KRNkUsXPvYeClt6QXLseSB4pSlBwmwsj7HpRdk8hlkrqwB4qQNiwQTCFBWY3ovBKMgITrcamFbDkJPSoMl8cS4AwBBG0U0pP6vcoAiDIjcaaGG7nqQF8193sfhcdD4OcFtMLFC8SgiSVhsIW/wCKIgNrKJvp5pQVnXIsseyV9DvUxpZiJQrzUxtYGCSeUmeaIMAAgNKGfZYPcKSqaywe9fQ71GGMVDxAYSB9aMO1lkBYXIBL3pKMyzDfpKfiu1P6J7hb/wBdHEmcrEl6Cnk2pqocqScz84YDwAdIUSXSAi52h7/xWErYQF+DgZPHQucgobjj3pP5cnLRtSGXSwBQ7IReF0/VfT8UIBbK86a/MKJYHKpS111sGHuDohqfLL5j7GmMftMZkuqEnmgAAALAadEPuPyUiQT+r3OgzgonJwO0z2193sfih8DIDSrwA0DizKYCXhntXFgCgA9Cvod6zZjsYvJ50FBz6yFMmNr24jpI+g2r6HfpR2f4w7LmFSX2f0HPJc8fiuyUXhdP1D1p1IBIUMI0n8GTkoucAKbBn36TJ3Gkjfh4WDz/AB5YDwzv9oer0bQBgbkz0vWBbtMD3j0/JSETwggiYaISM/bkMo1Zi9DyIdGNkluYewadIOwK1uns1tDxponUkPuPyUiQT+r3KZMHaU9xbstIPDhgiwSAgk6mK+72Pxm/1JcQ8EJRNYmosCAPKe+7p9DvWOiQ3hUNMITPO1RY6VgQgGgB0kfQbV9Dv0hHTZmZjakBSPo1GPoj8rUoWrTI9p9ejaEMDYmemSq9MbfdPofxw4wkdQu8MNLfTZkGE9esPCIhfEHqr0/IoqTWJw8hJR1CAwBFrDY9OrmJUnFqgguo7gp8vVD7ilsddMIsEDzQiILyDcRMn4SJBP6vcr6HeuClYIMmPIV93sfjcKHlEhRyrm1AK2M4kPZHQ+h3qEdY4uuIOyr+jqTkfQbV9Dv0pOUCNhFu8J8VYN8Ii6/QflLwiAXxJ6i9eq3wyZRgPWoK0SGgXeWX+SxyPLGX3nozZEAZWjjQibjPuP5fR5/n9gIZHxbJJ4PXpL9lqECg3vEcU1c5EBgjSYmKbCoGRI9RpOFlJiReoJ60ykKELBIgC3ZeJqXe1ugnfevq9yvod65AlAyr/hB4V93sfhvPve5jkZeKeobS5uQ1CTxRAyABAXdYHmj3cPKCREyNNSCI5XQ+EpjVjjJBQzI43qDJ5r4E4aoFt2oUmHdxH4r6Davod+mLkEux2EJow4QYBAeh+RxozNxn2CmbIhHI9LnI8MZPeP5fcnCR9XToUi4uisp9PzlqJENxGvkG3P4FsKGF4ZNhhR2omuZ2AFFpV24N+jNAS8JExaTWRPFqBili0cwo8VYigsbJhwOiZ1dGnCeRUEIGS5lphG0xmo5Mw2xvIz7VOM4QZCyXZi6hdgoXldqkuY0kJ4qHB2DQmZYBquzpFOVcyg3dhSJ0miPLPRkwsAO7a34Z8OATDYGInmr+giXXaiqEoiuRvRLSAVIIW7exvaghfMY4iIbaGJGamgqAw3iKeSjvpdimReQ3AIm8uOnNAzUjiYmrWuRQA0AydyuYyXqDwb1dH34ARF4lmWIj+AIFxdJYRxfp7k4Sfq6/ymC+8CBNCRC9KSHttjCFss+f88D22ThA3WfPSk4L7yaA0BEB/wDgH//ZICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICA='
}
},'cell_type': 'markdown','metadata': {},'source': [
'### Markdown attachmentsn','n','Since Jupyter notebook version 5.0, in addition to referencing external file you can attach a file to a markdown cell. n','To do so drag the file from in a markdown cell while editing it:n','n','![pycon-logo.jpg](attachment:pycon-logo.jpg)n','n','Files are stored in cell metadata and will be automatically scrubbed at save-time if not referenced. You can recognized attached images from other files by their url that starts with attachment:. For the image above:n','n',' ![pycon-logo.jpg](attachment:pycon-logo.jpg)n',' n','Keep in mind that attached files will increase the size of your notebook. n','n','You can manually edit the attachment by using the View > Cell Toolbar > Attachment menu, but you should not need to. '
]
}
],'metadata': {
'anaconda-cloud': {},'kernelspec': {
Amazing Slow Downer 3.5.7 Password Reset'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': '3.7.2'
}
},'nbformat': 4,'nbformat_minor': 1
}