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req.py
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req.py
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import requests, os
from bs4 import BeautifulSoup
os.system("clear")
def check_site(ministry=27, day=22, month=9, year=2023):
url = "https://pib.gov.in/Allrel.aspx"
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:109.0) Gecko/20100101 Firefox/117.0",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
"Accept-Language": "en-US,en;q=0.5",
"Upgrade-Insecure-Requests": "1",
"Sec-Fetch-Dest": "document",
"Sec-Fetch-Mode": "navigate",
"Sec-Fetch-Site": "same-origin",
"Sec-Fetch-User": "?1",
"Content-Type": "application/x-www-form-urlencoded",
"Pragma": "no-cache",
"Cache-Control": "no-cache",
}
data = {
"script_HiddenField": "",
"__EVENTTARGET": "ctl00$ContentPlaceHolder1$ddlday",
"__EVENTARGUMENT": "",
"__LASTFOCUS": "",
"__VIEWSTATE": "7/lyhik2K9oDp/TktcLY8yEAik8VKv0EJe3K7zNDTrhGDfBa35UwpTPno8w9u6VGt1EzIW27v06DsvoXSQfgFXLqf9TKzIohq9pRkuxn8xrTwbfK6jmXqOl3YvWimRR0YPTx+vP9ERUKvR0Sjicq6XQPd2Ku+qOX4wJnRtrWeCUoSBA8SB1ocxRixAP1budDfBv42C5eDGV3DgIFNMLhE+0+8+HzcvFPiMD1gJiI0v0qm/6W4Dxn6b93Sd1kxU4lUJoL6UOU5qahGgdQ7LNeoCFUGaRrOlrrcoR14d+dl5lML8+YLjpaYt8K/ZqJ3L/J1lC9IuIE4Vrb+Ac96qtHHdXDyLYy8xgG/8B3z44OU/kDpIdmKybynlbTcri2e5iKvVFoY9awN3w+QgmzxXadper4GesfRrmRU5/OuBgXvkuYXSQ8msWid9TfjA8WAczWBgunBgR7D5aDSyMc6UDm2Md+LrdnmVaUkFAUPHCVx9ecjT12ssDD0/wtnNGfq+qLjSuTakRsub+LD1+nMfmgR7fAL0AKodMiHOYu+Q7vnOW79V2M5luINm+bbIEHsmiMPnnRy9cjtgjDjg0YcQKbjDlkl50scqtEgL7BsOQQnoS0Z3t6M4uMNYWYR15hYLSoxiGYZhhsyFq99Iuoqbp2RFr58ImcxQ/p5Cd9LXTBeaYfszernANDgZy7t0Eh9BIAy1CGrs0zGKdLB6H2tSDxdkoopKV1hzd5NC1xyPeVmDbr9wlIlV99092Zc+lK6J8ESVVbKB22tLTJoXopwkbYzosvL1EYbMv+6OwIctrBI83Qb589Pj3ftYSXp/s8QJLjsWdIdBsA3YLSsNSeGFfRpMxnBG0EW6KdDumqDFMa+EPCpz7MI4mLU4+YHtos5N9HDbsEbqd5EIPUZgnlJHcyaTUYDMWYmI2rPi0Oy/TsMF+JDcVbCcwcB9l1jUz3jvR6BjgZAg2ffPcaSiaAQoyd9CcjpYL9q0KKS2hlggYiOtq9fvpyg60rw2x0GPdGEwDfmSNOKdeksAbUwdFBxoCEpArbZYFg19sUFxEZGh5l4IT8OKg6dOG1k5dqdZHjKCl2z0wzVoWyIX2OYngbsbh7hfIePDn0w5+AucT3aVHzJ7SZHzYnI26z2UsiuD2A97jfIefp/HpV8LtJw/ioaHT9ax45D+7jyD+2nFdqM0NKWswECl3U3N7kGomILjNhFCwB+46bbK8MoNoqJYlIZvKW9xbM38+6tG/SsRujQ6xzx5Yx6DMj+japqMwZW8hIqtQ2VTfajw/YMzLy763FdZJfMCT5Kju8VAr3losFwI4Vs4jDaMogMcTB08hdaaUGzbPGf7RiWf4oD3aI+lCE3h3x6E4VwubGecwQnE0uutePvXeOngMU1D0zjJZXf2KhCduZ22K23c2Ct17HUmSkirEV2U6/DQTCFX4fZ0iSXfMjWLfLNKKvskC2xByMji72vpJhfDDD8t/sqr6cJjjrV047rDdAgGwFUqb53YaD0wWIOl1ftJJGBpwcew4FQgj4ZFsXiV7W9DBYOCVmuTBrEliBO7+W8LR8WcTXR3oXJcIsfQlIKK3Q9H+RrWSbvrcPP6lQeL6I9Av7TbyQpsQMw4KsAEpk4amB0jjJLiCTY7buk9naAncUQePbs34NjUn6wYi7ExvA5NTcdFdHwPMb49KCWsTcqz+UgfAGBR/rb/S6vzay4MrDHVKQe8EnT8A4nKN7lCgdQyiqUiyaxrO5VPVGcOdg3qshLNDCFHCMa8wbZYnzRlC9pVkmnSd6sem0fcYx9MuanjEJfaq9oQy6FcHxjsjdQ2pwz+1Bg256qLxfvtJtDAIMr0DCzFybPMne9xmgIYLIb4alXdhyenUVo5TLREX7azDPKAuS3YwM0ukbFcl3a3/uBThNxslmcG8UtP8MHP51WwBPVHyonqS1QPnt/xKaQh15VqoPlXEDOFSXD58UKHdmq3EC3DP71OmxR4qy6k0wpf8z7fn/Gduddv34NxgKlcIHYfyxd0iUQzAA6FbapTtxLTqGs6wFTB4YAygAHIYyoFbqKmyO9cgt8/9pp9ErRmlwyhksFkRqqUoJTdwFAQkkhzDsIXIylaniUPM8MGJKP1hYRGwUuv8ANvGJx1sI7tQBj2N2LnTD5nH+GgI0zT0cixhCl54a29766IJ4ZphH9hUwpxXh03QzEQgnSQ0u9NOLNG8DSRoDoQak3llvWyqchEGVJCGV2fVN+VKNg6NlbgOlksSpiDaxQ8lPmffIPtw+RhgTyUGeHb/pcp8/h+MU/ygVJE1e8N0yv2gWUkJJBxmjMjQEJDkB6Yl5QzczYyn6k9fzhrT8yyLP91iL+IyDM2VQCLtc78KMO2fqhOTkE6fztTgjic/G7sN4d8qicMYrmCUkZNwnhDHXiWBmSANWT8MUcZ9MZMoqOvpIFo/iAaEPvWWpFxrTI0tiehUq3z0DufByfqjICMKkDsjZkHNE+ZV98uCyi4A2HN/hsLM64jfKYtv2hOPPjRLUh0zl4PPsm/WUr3pVzZxnPMl9KydEKm0h4JhDnIZKVPVrovghDxAAFZIiFzUxPx3NcXaHR95R8advgw0JLAl5hlIm78bIfJ7inVEoVvegQ8A97smt/G4VSughGopaYSYun9XXt0lMorhzBN7ja2JGeYDCw/JQz2K1f3RgSGObXJ2ljKkS99PccxkBFAXQMlHRR5FyGXBo5O959UcUK547tuo0/CWhyEiUU5lzyr5iUATJmmSb0Ojl/InmzDAPTSaVsm9RFAi02Tt6C5r9MhdwtKvyB4/mq6Q0sWtDlWcW18ZBLQOH4DWEKwHoRQUjiDe7eLSJ5o0vxmQkPTgPkC5QIAXGx1xXa1Mqpcfv0riqkkosldg8NkUSW3/ljWpHyX9/7BPEiWjWwBXWofcDsLzipdOkj4wr1OtV9JQ4ZjO0U2wb6rp5RMUrMphZ/dDQMIq7LkXk4aFlOFQjohp4PtD+ElzwgumZdNKnishglsK/S8/XwQL2qlsdfyE0Y4n6aLNeaNz7N2fiqzdR2hiZLyT5PIeYcLaOfPqq+OzRlrlO2zTQtkMY+PCA6zazBAyXjQ70s0PpT7Pw1blxIRuIyHdJsQ10aZTqIQGMRnZVLirtGvNA0UpkpXRS+vCmaPZ5/YBUS9rsH5SrgRRdEGQiXTMAXjhEjF0R0srjeSEFUwnSh4iKrXofph2sOkp+v8oamQLNrAqYwSeLQjKvIPYo6LrKpl3x2uJ5fe+XkkmpmxXvnIwAmXUmo/mFqQ0VmsYRcksQmTPSogznuNCSdMmaHCdDopEYm4wpaEMo17uXFYSjYb36CpZXnHZEnZAplV1g+TN9NBWIZhFQo4Bhfav25iVQ0MvlLlGAM04LLDh/4gz8UG6+xg2WI7U/nMzOQeKkPiXMNYaxZ6fGyU+8sIuLXjRyC5tSecQsCmAlkkSmIXRvMC9TPRqhPwsuh8yW29fMpgHGCIEWKrtPy4Lww/NyfKbhpfes6h75tytSCu062k3SAUHvJHnGNu0cKdmE6S78Jgko0pwKMesEcCWSMe9zWhbP/afx7H8gG3qJKSC0Gm7MhXK8m6ewk8QYFzvgGLiwkpHYPuRgo39LG08F5F28cDKzZEpvgMeIj28K64zlc5FkxtKbsuLEWp38XO4EYa2gQK9sb8TVZmYiHxEXzZjxuzMe8Le1Vv0Osz61KrT6pcXxAux6ZFoCiP9MuG1vgTNLaj+UgVtjiAI1o/tt/Y87SXoYtaCr+/urbyJgzQnloQxzeZ+kZ9HKRUra6MhB/PXDV2aVNzQM/kMTPxWwnIRYINHxBSta3BKGliSOHuBOUqvhNR3AehnYTMwAemD+u9oQA8ZYdFa3ySc7LMp4Zlj81j9x4iPbXmF+s6GSVCtskO8+j6gp0m9R2r5uo42sdtuld3jwkkP1gWsRJGw3Fr/RUdR9vNEKMDutjPhtpvH1GvelAsfbvq+71zgm+9r/plg4Fqvat3wFU0ORpB3yfjkgX8cDL/3Df7OInfBnrC8SEu9dWpEXqGJ3MU7Zr+3eb7Upfw9TSk11k2kxdQGHcr5HfB6nrNKew4jN9k+GKbN1huCKkdmt4bdv6RpTZpoTlWfqp4II/9cANoKH8ng+LW6XOMluE83YxKdGrnMCm5VsGyEgGVosVzVouAn0Eq9jL1E1sGhBmw5YwV1zs9lXMFTWVozP951kKPLq9kFbucj19v1S8H+TkD4pkoznpICVtvivTsoYjNOYgnf5MfZ8ye+2pOgz7z+4JhSumh1IfmmUgjmn2Sl5fYcHu+olZ/LfSXqnyl1azklA+sfkUefvId+7Vo8dBOLvc565HdAcsFwANuhU5aqOhoJ0on4o3/p6zucCL4kL7rTU3q1q++GE/FcqtoGo3pObqvLgPCW2qjXi0HS17Hb4gqylJuDhIR6Kt0OlIKZ5TbRgpUl0tXetOYJ4B13c90kRLXI+lPRguwXsFejm3Xqwk6b+nkD5GXBqHtj67s7+ADxStqXddhXW04bX2VDDtAaP7ThoDf2KIGrvkDq2ZQzAGaVL2sP3u0XJV5wQrqfRK+QC6Qe3NjZUQJGiGVu+M/Bs3n4SosbtYkFE7m+N7Px3AOZzX/T2TqVVvf9R/iWmqLDP28AUCUNt+HNxBmPg5HaOv3KKlpZzCrI7e1k2ukwcreD650x0z2fIj5jXRx3IuiWroM7VrA+5EzoG3E6Vm0lJOk0pdnZtc8Bu9OTB/Ph0OMytTONOfcZarVZG6mWh+ktWn6XPijjsqFiEZwUojUn33GE6F0mS45lVifAR+rehar4EVGp8lvtGdAGOUf1elIGZe6iQ2WUywadYyH3enWGADTlSQdyvMad6+h7iVaO/zCOGWZeauq6UTddBVvxX7eTFcXuuBMfLibm+kt0q5Qvn9MfjVULmsKvxLIVHqU8zpf287MauhCdbXdhvFuzNtFzizv4zPvmiMhWo5SJ4Lm/3PyM5KsaK+C67KLMKM5O/684hOWtOBNNUnpUL3z/CxO8zInc6r4a1akKXTYLy50py9wFhJfcL+HcT0XvPdAg1tsxZoATztbF09pAu9q4iZzWJolfwarPnIvJ7vau14XH5j5OoV1OhXl7KF/c7glwRk1B97FkADAZh55Ix4Jjkxq/YKP/d8y2zrlrx6xYr6JrWUbOVLzVQ01I0GXCS5WQXfrbFJGtscV1E65zEOyBKTtF9JHOjMH5PuLTvvI56on5dlS4dAi35hyyXySM7tJSbBNJ/hwc6otfiX6RgAh86Ef5VOTLwjODSKDHX6hMZ6TDysJrN4vss9rXZHPxe/e7jW3+KYn0VGYoMa3q1Df9MnxSJDHa7Jk5hXlSAwMnnZ3DdnhIXbnQfcHS64tIeKbKjMyLUnGjsB2UTqgn5/FvkXv0T0O32SVh1fT8LbeKBStwu4V3VdjHR4lWxyc/EE4dk6F7dfeVYSXvsyyCIN8RQc6Q8ZzQlo6VSnVwOr2jTxOKCWgK+jUmsT+UAo5yL5wToJPwg1hX1c3vHCYxdBIYpqTAg25iqktd/57/P9aU6mM+4vivar7dYN2gwXQOxWI/1MoByrScL3zUbLaY3UiGXJmIYMFnY2aNwyxnY/P6eGg4gozhPKKgEcsNZ+Gy18YShAtHyk1RbpJzPFP8do6T3X54Wg37Ndej44BhOihWZ0cU5LtKmrjJiHtkA3CRtUdehuC/+SmoQ7d9pXn2SIY5eJo+1AoeKcBWt0YDR6QN+Mnlaf20RogPHo5Y8F+BattaTQ/1sbM/khP9+1oxffBaFj3ZP3A8iACs7oeaGZVWK9ndDnRkgLHfNSYmPCj9ydxidsnD/cwyy9t3XMX3z2Je7/Qxtf+wSZCPpsrcU3RqvI8FiG+G3OxYbGKqrUWjd5wCPJI47oPZkLJmPTgnFYSOElYMqOnEaM0jiJX/Ai445/sWuf7MaFHTRRxM1/KTWF3i8it84yGqV5dYwtS91ipfM1xrW4zGSa6W60urYxiGRlBlBam1Kd8357ZIM4df7idNUbP+DuiTqpFnnXs2jOvmmTaXfZ5ePQYXfU3HsM2LYEKgLsNz0evZaVXay59yosajIYOfuDketBjnm4KZ6jbiLxmJ6B84DB4gaHACsI0+iissBAZnLlq4TMVjKRCUuGn9OZFOW7CLJqjx69tEu0B8OCLKWTv+CFFhJt0DuEInT7rYB9M8OOySlpjX3CayQWA9DrzXsP1g4SEszAOggd4IfslKVpEAprXR1sypmMj/KQPq13rU1a+czLGfXlHrh8N8CRVYSJ5z09Qvhwfgq6K48xg9M6qQrIG1YYaktLYUInRG52anMaoxxxPfl1BQpWcD7TRwLWEIKGywrkKbAjePbTgD1uAXzjPmRJZkLaNZ1KduLDg583CJOZZ/LUxoZIDQp7kQjYN6AzYXr0FKAdX0ypp8bUHEAihla6/v38lboi9Ojni6bE9A33Mmqm237K1G7OuH2qLM9tekG0iSzXPvcipS60zEiw8DwRVIUf6AZBABN2nTQZCudeiKMj8bs/NtKAl/79MelKYv+/SiJsnqMsMxMtSI1Zy0R7VHuLIaDdunzasLVySpK4vNC0LlwcWhpPUrFt1XK7sj7wG55T2vuN/jZu4Ow+Sf2zpx1jj8uTFn05Gk89uC/yg6MNG//9iKGYO8YCV21LemEFkXxZFE47N4OBR2ws7GxAMmDmRk7Rzwa1CAlva6CwQsQbqRnY+UP19MPb9YA9WRBKqdL9ANi2ujCACMhgV20igoyV6oSuNSftdmVSER8ugNLpM5VhNnt28KA6aTl2RcTU2+8B6Rv9E0S/ssgefjyYVj9KM3ao4IiwXma7v3Xd1336bbY5yY4PTzF+v7+YOd6qfVXWYpzvAJ8sc5FNoKIPZROK5GjQENfaeu0bBBAmOSjv1wWIoac4qdxJDckhKJ6DJ33A1gVvIdko3sGQv5EtwB/uHIqQ5JfP4XGyy8yaSOiBFnOda3gV/zhnWr8baHWqhiNqtmv1BuImb+bht+08pcKYRUwVjGFXSirvbSjMrGNS54X9WvRf5fRFR9z50xn0VnoSB8AJAfAE6EGshuDzfTWBU5HlImkl9Cryt5dDegnRekYF9KObRKI2YyZs5Ozr0dHtPTXxYASHvLvhtx54xdYuJqIIOXeCTkSQAWIbH3up3pm/mxHAojP4tIVPMn3jVSmWCEh5TbTpY97A9PEmd6hx6n4/AeRMIoy3CMIIl6r2fYwgh7T/pXyAs+MzggmOexdlo9Y0q3xsk9gEzyZ4Se2mIctQfnO6hEmhQDwMG/CdZR3bWdhM5zI2JZoQod18LMwZ2gUWXjyJ5MkD3biEGpyAFtUJavYs/YthmVnAZ+rbEohEKGv563NqwwOeTc808KPYqobNhVo9F587mz3mC+RPf8yyBiJf6Wv4DekYdOu0CXC+vF0R9V2q9XY4Am3QnawKGRNsJsXbn1t+F/AraTN2/4qyoplZCkxWSn2Td1JM4OocmIAWiv/T0oxZyWWunvqJ4Nzi4Rz1jgWE+drC7GirDGgvpe+wKzOLmUqMf3ZD128NqUfVubSjTLF5MKXVgAQ5+lMyZ0edIBJC4kELnftcS3K0E81/bosbiGJPvbSKJD5cP03rMvkXnVu4fhRuZVZIaxgeL1ldmm/s3BeTZ//Pg1h3a4/GMFz6tkkJZsmOa8aMy/Btbe5QaPr3hXdmhQukAkhQ7Me6FHSCtuoxzbViDaD0Zt8JBJ+rNS5rfvdBWUP1zOrzezswPEtC+aUC6W2JyOncIg7BkvS8s/Nx5xrC0eQkEotJw+/8rektztA4qKx7w+7WLMtFxmtvhuDJcYrjmkD02BDs9vrikdijXbEvI+QSbPgvCm/pImNSbURpDf6FsVzQZ1ubpq3dTjvSds/C3exbEPsOBN0QXEtK0BpwQVsqCW1hvhiK99vmQ/X6N2F+0l4272+eX25SLKMxzgE0qKOlRnAwJNob/3b5YVATYKycDbVF6EJqHg0518zNr2vZsK6udmk+jjzHZBJwPGjTyL4GW+QL5pj8g5Q503BgE485Kn7WfBXdtuiihMjhCL6dTZivx/X98XdVz6GAVNTtxCWXVLEbzSJLjxm3QhBrLRd3KbaQfTyZV1axx2EZ1sKdpjEAPnOIH/Oas5SSfbmY+yZ0wGR38Trv7BL4vHYYb2N6T2Iu4ZtvoC4yHVEe1VwA4JcuxBWiHJCZmnVzTGlQb6ISDvirZbQ6MnsSXftAQLFdYOp/GOuNgEr4mCJ1ywj3p5pF5v152JO0iJBMK+v8mp5VpQ5x/R9X5aeQGo/WZ9oplhXNgDeFS5KJUuQ5ZhzqqRvH8BN0cnwwV9cOLtBnymlhricjhcfTHlWbn+J4SScwt6ePO74MKQhIE9HISawMuY/3fTJQPX5CzwKnUaya0hYB7sia2Odq6VawFW4M7P7CN4yQrw+XFwhazgA0Hjbw7S76gwIP/qIg0GL+L+BjTdfVYmTDt+d9uMT7amiD8zsZKS6BjiY+20Xhs/EXIq2bBSfl/sZKAdbIhFFM7OW017mzLDOdHCWCe2fHzkgwO2LzjoI9tgBUP9BoFcYwLCAAV74oMD1B8mEBCUgs9+wicWK4XfYEEnRIrCvEyZ/3MInRO/rTmhIhKyhrfihKSXXXi3RTfeuIEB6JAw171ta0ReClZB1OSwVHHIFslV1O4p481ds7hUTrk4oAERzzrNCcMVOMsOUEqWlQFHUgO7AvLw2EYXV5OzYukj2awA1vMJ62BFtWJQRK52bTg5hidIImWfiZ4GP8vY23SK0urWVDj661ixo7FXATY6FDwUgLqMkjq1f+4h8Es28OmTxvvLV/L+Y+uLA1R/VY6iGhgS66wDSuB3iLI0B+1GbjA/YYd9MlkTjeq7G1aqcEWJ67LsdiLi/gK8roZ964dw2FT7thkeTe4pgBcsFTns1yodHrFXxgwDdYjMTs/cvmXLgIOvWQ7pCN0VZol1e81xvIRw8u7QFLyDENIblbNzJeDA5vzfp8Xx1zm09iCtjW6BODCX1eXjK+2oj/KsNzL/mZXrIZQiH4IrAPwCMFlShhUT2bh81g0CXVD4mlr6Jnl8nA/KzIsuFw0EyzY+uwg/7Vz9KPkJekJupdMaHDAk/v/dhFDRDkj5VzPbUsJSKAb+/hEabauz9sVBJYIBQ3ODyUj9aTmHELhYDyVBqBbFx/Rf81w6fVFGlOI5EUckDygGqCiqiASX89WhxpgDrQeBUgnagkNJr7Tb20VdVB2gh05KBJuMUqN6VE2KhctKgeDHkPHb4ciahXOGG6QJWHMkP6xoS1qHA2KeZ0uy4B8T+8X7AS2Rm38rqMMEIY458+H5ChC37vXTgzf6O/Ovauy2R23k2bxq08aYV/EU+X907pq1heNc9rj8YeTox6WAdD12mIwmd856G/6u/Qgj+paV8LUr5KAlLeKAEWjle5mF8lNVejTJRQxcEeK6zmXcXhY8M+ekwXRNR6WFA2zIOMpNgfvzdMBfbb/1BDSX8BV7CE3h2/9yJV9dC3sV5uxjB0yOhz7pIqNtbBl+AX/JOFPsYUS67UypweG366cTpf3VVhLckD6We/URAMpbK1O2KAOamzlYHoE/JEmeHCBA2fTTc3KFu+N3o7YuJFKj7PbeSlEHd8/f2676DGT6FO797SKTyswjVej6AXTcW6Wq/WfxNFUII1LZk4tdIPl7q5UMWDUiva3gOhdTPSkLydf8swY/UWWvS/kLmAvmpPAZgfD0E/kmzEyasXo/+8fxXMWsA90hH+IoG117u8TNKU+yrgoUBx4ob5/nxNjPYCfnNhlvV5a2pNt/5Efn32dk76SZy7TPNr9gzcpzysWYK/OVdO7pWkRGnzTTtq0quU4rDO4wlFzfCn5t+/dX3h5bCMCD7GcHTrVtWjwvc0DLVgL3TUTx5yUGSrjSrddFdYVKg/SwXZyzGqJZ7eHzQAaUgIsoXitLVak8vCCyET6tsF35xIIm6KZgj0DaCenxeKDmrs3gQdU3yJBXHL7L3EcJwxKIWWOLSKDVBAeJ7lKaRYMjZAjj3ZQBuymQnR7/mQJK2Pa0LOxMa4ujahaklZoHiHDBvtw4q/JBssGA+2YHWnzu+rhh+K4GZ84N/JbgHXAqppKBUZsYttc4KezDbHCNXCjvzT0MeK+Bj0lzn2/JNS48J9fTiBAPWb4ilLku/nLgWXbc2ikxgen2QgVA+ATOX1XalTsdiovoc1NlH/DwsXhtDWowdKX/c9k8o50SIx095Wt3tC1kcplSCz0AEuAqf4w5U38IjSuS+2rD/DRNXoswucRz8oog19SvkFZDAMov0hwaQEBtIrKnbw0g+4YFPFc4ROZhUe/R3NO+4aVQ9pWGFkcE6aDfLS2rTNfE/On4MZJj9mjJBCp0itzu4qZX7iUIcv+bVe4B6VigT0XLsggOtKu0W2OpGTxBh0hI5+wsBgcRFmt656VfGFyzjiiQoxehqPTdnJvTessYeUSMWWIMGbYb33oItWbTBnv16tl09+0ZWy01zhhu/K47f7X6ijR/F0jOwzP0DrkUL4ssDp4u36ARZlKTtWwG7/+IRsvzqcn0IzFP+4onk8I1bQJnxH9CMK5MCIEUf3/U0VNwcHx+Zq0wumPxQhnYXg/dbUrIslU0gxcllcG4VveHuroZXP2fsCIaKhaYw/w0Ehfm1lplFcpoNHiHa9ZZLZGm7c9j/xNmZSdGdzWPvbSGJMcWLAwwnMu41iQDV9xD8HUpuPRqBp2SprAb06/jJOOq3xSs00AYNkP+01tNVqnjfyvRMFrZ5rjbzIxJCQTXX1aNvLN/Db7waNMAbIOLjjL7ZzMGV3/LuIVVwobFyKBa9IeZuTgnPgYrCdYBkIjapobRhLg+BsiurbJjUrdooFJAQZRiA3N0KYv1Q9w6TA08Rwdoj9VwK4cDkUYknauOssF1xxqHLAf/fuWZeWERFBKhjctuOnT3WstSLaCRnPVJcDP7bWbSO8PnL78CdR5YUD8nNLtSvSZbByOVcJFVKvPL+d9k9tF5OZmIQwgDEGY+UKuALZb67NMcLV+NTe4KUFsKU0ZAxRvi+MsKf7GBvlpn1KXH8r+HuMHaQs04p9eNg0ag0aS04WWVHjv5+UTUrvKlVGfvQmXCCH8TZSDjVWRcMKw8kZ4UT00DXS16T6HBx+AJN1o0PxK7KxFLXHs5mLtUBmGNGsNbLGqNDnMazAOCHTSuw+6zTZ+9mL2JK3YOAeL+oqNznBM/Ag1DLAOimHeMgqiYU53YjzC6RAAhVhAcsUJwnmKETjTvIrvcCYABES9948Pwz1X3b0tRxoBHECBuxJKpWTFCmjc56J6ym+BdDydDG3QU4FbajxnR52sAPYPdxb3VNGtufnXb1WdTTu3jjpzRzco40Nmcdg62Gk2Od8PPGn3VslgY8c/HUJq8d2zMgHNCtVDbNB2XcEtlL0svu7Re4SQuzQZYgiqrnBjwY14KY7YrWDPmNKIF3UFTDVZ9RV1SWDL4IF/jBLCYcboJjrbpuTIv2oo0SzkJnxJFFuc/Py7wP+nxaFWjKXxlFtGgvR1gFuxmXoezJyq/lBeX37lv7a8dCb7ntXas8X6SEm4AsdViEbcp1S/ipNfR6OqFAI8qSTDz29BfyIoOcKSWsahqjQCXanrlGnQKpcfk6CpmZNBzZJuiqWJAi57zrpczH1DCPWVl42Pf9Qj5QqeODn0deBob+HNLufoMUv5f8OTwoZsrq8o+O7mCX9h1oYRF8zNva3l728fR4fZ0uNAQSNHLpuMmdHNJ+pvgA6GMyDRc3Ljqvn9RdUmiuuPZuatC4sCpqYnIz6WjmioxVjDuTKeDfxYXZrSprQnMnEaVagAptJGjz+mdTTHsA//YgY7tLfhizy2txW+tIBO+QGuPea0GuyjFYUS+O37RXtoRPTGpGQy4QXN9fHq2ySNCxUt3knlukgEeyFEaX/T5mwYf2tCjzmuHSp63hzxP373Iskr5xy4PjXEz7NI09RNqWJrr0GphobMxf6f1MWwVLV4QnUU5680YSF93GYJLHwelnDYv5FoQCZpJAn6VcK5VT3W4W/i9o873I9w7+uOTd5HaKomNOW57yy6bunWqz0pImMqcIkUuGBTsOgOUReILsg7rdtMfKCRnu4zkX44EBaRJe3HpzOWw83DfUoAF/FhmUkXbKn8pa44SKCxpfxJ3mYYGubWm0kI2s3Wc+P9JtSiz1URKY5xEE5p6wgG/J45xYolZmInfTZ9BZ1O8K5BtCLt+SkXohB+/8K1JBXsPV3Ay/c9CyGAi4N5YQdW52D4Gj1LcK6x7XlBfaqCZ3jSPooaYDNGpR458hEm4K+QTcYFfGxBJI5Oh/kb2Ms/aJoyw0w+uxWo4kmXTPtck/ttd5xp2iY7JGdd130xISMOZedSg0SZFufL8M8mHMgep79MtsQ27poacvszf9keDL3kQP8dJ4UmwS6698giRV2U7xAxedQwR/T97Nro5Lp443QA+MKxER4jnuP13dUNTbFZ75D8bEUdbk1lFjETrvHUuOx1zbGRxRRS/89gevx92kboeqZkG03YMrLBBaBkYapMj4B0BwOhnIMC2FRIaAd34FxPXppyVR6KkcM6ENounwDbqtP4Nwm/MKXkiNQECwA+avgBdPFZ0oNt5YpImSM8+13Wg0+CLh4jRxtwsekPPq2dQ7Dv0OLfhqggG2v1xAOpHqFILvyiXMXqWQK6rlIU7OxzvpgSNQS8UXepmRh5GE7Fav5xHl8YhanknBDLQJVxdSRaqizP9lTLTwzBiBqBkVBsNHP6Nv6UxvZY6W+hZMW0MClskP0Bl4QD3B2pSbifpq55PhuBklowcDHW8TT9jpmwyRX/eU2aXTDbyeH/JokA3dwZU0z9sLofILoUbWsMtMXgRHAdHj+Lod/JpDW5ScK7pLfiZhpq8+sWqSzoesi5DNZH57Bct4QpsvXfj6rtXbQndcBPDk/WQqfijFMKe+oH2oH6VULlqsoKmsQ2EBxWJn6f7Qvkd6v4v0MN99eseIGjtIKrGiNfdwMdoAdpLbBhZRNGpSXd9sMMLvA2fL8ONTmJhLb1/jggZXE/h3VgSlJzkQ8BOtkBUhs11wTGCCHM1rdakH6aO5qh0flN2c43NEC/OJiCpLxsT+9IQXn8P8qxk+nNums+nherWrHeIi87amjQxwH2dePJzbuNGkQhmXsmDFFJRZTcYsB12Hdw4NIcz5P/5FtHct521hcnVoycDH3eZ88wuuQkMg/piVXBP1bz7sy5gUab7R3nPxWwDKJEdT5tajvicQ4xEIh64vXzcmfmG8PdZFWfU3Ydl0+7v/ZhXi6l1SDsy30z7Nzj352pR6p0QhZPIas4VVwBey88b7uQ03XU5cvofkYAaQP1UZNHTEIsAHH0oxZ/Urrb3Jn4vb/cmGeIXGeGHyE0mcGvcR6cGv9MFeSjIA0l/UipvC/8e41GR9pJx2SPSNcWny38YotEZ9J6k4fwkEgGcDB1Og+0BneVQJPdqMRhEUHn7yOEXm+jLBtE9re8/nHsxyhsh9+6wn0obPLSM0rJt5riQPsPkYvQMD+BcN0WgUd5V2ZwDLPzXln2tSz0vnmbihDfnHjce1eoQ+ev5JD57r/sABnHgMW7Q4f8KzWvmY8EbShDBaUY1GfJlGBsM/HsBpFTMBQQFn3tsbZVJewhB/TDw1san+wb6YXXOUB4FLf2VPmY0c6Bv3ntYIXSV80n9AaK9zI7y0411yTOy+wXmAcOvvZnzAaJOemCXpx6vnsk8m4znsrpXRG6bGhYIWq2rVhpYQtYjEkp2PNDO2BOdL6ew4ct4AvgIL+BUrhPkJm/zXygxs9NBPMizaS2VMfL8np2e3tfp9hze45yBsJlOHKn1ZVIz3PZdHczMcwbX5ceAcih0LZkUpOLvvmuTevXIuHRl6Ke721QHN0C5enFsYmEn1od+cQMeqh/6OyauOv6ZtyBh3SnJPuhBL2kdeUMH0mLwYwRzseaX7bsgz4Zsdv7Nb8w8eDEPi94uU9axE7x4Hf/mvOyjIwmSJdugIBTwtr6X4JZNYEaNCWgCwYwAlF0ClzWvGd6pslaM9EmwGZMuDwt8lASlqECdNnb/hWbQykt0baEBAn1stP5v45C7uuvMT06TPcBEqQ3nwwn0nxcPTMNB7LO5LjNMKaN8R18+koJmubZUvN15dbBrEzpFTZqQ8R1/NIqgpaP7vKzmOZmgADkWAMwqJHij82f7fGOszHaBaia87aSWEdbWl9XSl7GRltsW7nZY5w6FFoDyQAHOYs8FdanaFYFsyLHgUcam3Fk2ten3uEXJkPHGn6uQKD4rEjHs23S7m+uCNsKq9rWM7siGUr78nyCC2DlV6RTFzepoHhySsgStkMrUi9L5L85Cijr0ktpymOjgPOdNZ2+ucTfE9uCLhfaU9vztjXcRktRR/Z8x6ca2ndcopsp+opxdDYI3DjW3U47uIX+GYN/Pu4C6aegmmVaiAkYa98XYmosvbhZJ0JqIW0fh4q8uomw4jPCHdjCLnHcbS0fTDXEti/CgnHGtCXOTtwbu/wtGWOdZ7+6BmQbXQlGOULqHaK4FKDeX4fXoD+rUwW567Ve/gOG9KmSYceKLSjT+b/dLIRz7+KsqtjfzXhHR5FnzxDzK+2Lvs4xurH6TId/LVpNuYCYLZ2nBGguMOPHronW1/6DPjo8d7yZcWaVsuxCokPWeuBh5JGrdAB/8kMNmykGY1C8+Aw92BazP7jRTOa9+C5aJJCtp1xVilROUWjB0wltMaomFLuon3grgjUnCGpEv4BlFTd7hHhyH1QLu0NDHk2uQ3x3nv8YVh9Sw5iesOp7M0M3TXXJqGvzts3bxs0TShYlcMpecpy8OunTJkX/S5RxXQ+6vB11ovVrE7HXk119+4kbgixc3fsxrLTDonwjMe7uBqWoHyPpWdYhuIxgXDqyezO4XVLqoYjf8UGDGiC+bNTnfvOJ/Neq/WJk46lyArTEL0iJ4TS+aqFhxBpgaYhea51u+oSBblqaZCbPGqfA2sxlctZGGjrBAWOK0DYpDfDARSZoF1Oa3cAUS4Q6PIBs+BmKJWrXpsQJsd0wvNdB11MIDeak6dVGakw5uiThQRT4e8oZhtcwb9KZ6II6oiWU7nMEMDiD96Gk16N6uEEnQCSjByOhLN8dTjUYjziqc7PNwhAocHstD8Fa2IcS8aYvSYROqgEOdx0SdcwzX5U4sCL3WOOih/Lo/g/3z/FM6kt7zIAD3SGp6yWe4mj/ERpEYgT+QZTFy2lR4xz2IndXOGAjhtfy9sP8Bhd20f3ja0eiVgwoDzkMTi463bAYywv2GbnZMBBQtHnEid6kRs8yOnlf2ouQaajdHOwkoOAZs4n5lWMubF5N+mLlL5AZv9PrftU09XuL/WoZb1lrjNGoo4JjXzmTpv0TLM8QwrT8nTA2e8OpFSy9adrNGMP10gLHc3vVWkxkj4YPBE+/AKmyOMmD2Oav9eWb0qqJiMwBiu6Em2OyjUioC8GX0GD5Qh0stDvEC4iquPESaJc5tqlKdgFXVjBKDgJRMf+rPIxXwhnKTZPr2aZnBlmtcEYh51I5q2Il43e4a2pmY6vDsFiZL73hx9pmeL/KPl92OOv0s17MU5jWoo+2Tpl9vaKCwwK3X9BoD1cCe2iXjBj5arf9tF4cU2Q7ZFfBn/gm0wKhVm2b6pCG3LWYA98tE9EaQLa0pScUlyO/YK183YxRE3xlLM4i1R6UQtzGt20eMn7bd6RCgDA8ugFCXX44pt0//RW1db9yYO4N4yLaj0xPSJxmxFTMM/O7FWo5UCTwjRh8Mck/eCjcT2wIjfJvM08KoGvkTJByBnkArhMIh2ZJ3gjmdfvbmYix9rBbPyWbC+B27enmoLHw6bJ7whWmpTQnA/ZHg28S9VdJl5aY92IbG9vps7XH4Pd/U+Xkn+sdtjkgh/pfGQLarSFswMJ9ocYo5mmi4Hy60H2iZgDkoMNz+dStSN1BgezIwiut1FX4rItjD6HtIXzG835f5Z3spFUtWzQ1sYpRqFQBqUjW0gxmnOK2tdO4mR+xdtdK9oBDl+6dloRsErsohh1KpzsKt1FHLG5AD+YuPuUREswXBMtmkDbsbP/+u4m9JqylezvMhc36g2Y9VIq+gCzlSHx5rYOIa8wS2mF8oxXMU6fPIUBN74MEob8XagDBhJ83DcfdVsW58oLBSqg3gZ+jxvhHgf4S0TNlsEpvBbkSFVCrma+HZ1zPp0AliIV7a0V5lHTORR/mA4bc6FrSvWpeX4jBqmr25hhMj1gNN0q75Vq5gQxs7oEKH/6mdwCnycIo7cfF0Ar8aoV1nq3DSWf9T/HwKElkzyuni/oXlses6sf7puTOMEx+8xo+yx+i/kU5FVy+SrIZwkid3ojAp2xa55r9zQRZqdUokZHAMEeyh/wd0OJ+Dp4Y0yXhPuft3C92PA8qi0LZKXT8Xx3bNg1ALLceSeg7t7ZQjTRaFp/pS9mCd7PgSQUOq3grkELRalZC+aqIOv+aGWTiQWgSx4NN8HtUDJeJEwoqkwKcMg4S2osQkPNF+pOxWHwHPWsCCudY0OyOBffbtFtT39A/BwyX9RhVdwKlJq9ZvB4rrzHGsinCXYrYUtDedMU68KM1QcQdHIsRV7SBDgNvlGKjsDoJWvfun9N+CCCFCeI1pWbyujFH5ee+u8zDgQc+a93bGTli3LEeg1vzsVAcRU641+v94QiRo5CgYjUjRRCxTzyIpEJ6mTt07n5AqKJAUBMMHCllCLoPNNIU1r/lp8DwGtw1K4v/eo7hVfJZtLjY17A39HlJ0AB8hERQqGkFA5Uh6CJbUa0cG6rKudDfz5xdoXU1m/SYY2ycvDkHk4CfQPE66RfzfpuIB1xsBJQmkOT0iYwv2VMV8kTQKgnae6V78VGLG+6mwolz7qqDL32HTlr7txEYYGfcZHIMXSSYs1tlXhHT2aQ42Teih5G+QAqr234Y6FelHW8+yVqBsRFM5EoS4PTjTi9k2Ib5YYagb6rU6edW206CmGSLK3N+Wg39LfVAJhSUgoQdTOvAgjOtU9XPYd7dzxHCnmtPPjQq4tmZjCaxrnAZuYZqTLJdKOgzlbeTW0OSAVFJWdRdyHzHGNAKHgVzdpjr/ok55MPisu/7xXxKhoTI7StQ8lLkYFxzlhxqT5Kym8BKrSl0vwChcFlJ1Av7JBi23OS7tUrcEmCYKSh/9PuvZbKBuvZ/tq1uk8I2gvEzCMPc+3DkROgkEfi+unsO5yfdus/Zl2Duba+BYRDhTNjo1wy/t/cfVRoRJPTEWdb6AqMGdwy0QvVzo+qNomlgVZkVlKcQRhVqamS/YsJLxZI9Z6eGV0mqgcVYbFXhV8bx+dlj1WEaLNizo99Me0JuNsMM8jU6G7A+zpuP2u9FfMg5H9mDZkuVxfsMtxFs16scIlr3tgoBU+MAHAAZvB4z2ttOLGUVwZfgxbHqkzCc8As2COR1yk0if4+bXXC9MOw2/pcAY4yoINWZdn8/8FfLha54IAelk7JbqcP8VOECHJFVdNY5DBzKuHp0kmRhjxa+Z4ng7SkOoFE7utDMQdNcfjoxJ8XzwR5dNZj9jMjzc2cbjcXCw3P2wbnJSJ9oCHM8Lgi3g/8iQrr6luhnOSH5BP6SbWxQ0IYR76NWk+pK3thNoG3COIGW7dMD/f+R/V69pSfHKE9hWmPotcs8bTaXZcwnm+QvoRkSuA5oKgljnval4EAzEXnJTAi8gpCfsLZM13ObibOyS7VvIqQYxN4ALys8uYGaTCFM5uyl+UrxKFu7DQy7Tog/ZymJZt4JkaK03S7zbmuD5I8y/iyLlJXQtokVtCrrSrJMqJuS54LXPOVsHtBCY1i71wgz0kGE+xcoLJcJJIo0JpF/hR4NVGhXPJcMG3xAYwAEzBYUdZNsRz779bkICVbh0QDgEXQeCi0bQNNpL8RA36sfvLe8GpVz+i+2lfw+7bCgBOA780WWQt1gU46o+syltkNSMqT0vMIdqJbtGfidJYs08ep4IksHVaKZ9AKygcw/cPDpTeUIaohFJY/1wfcZnE+Tgqdy2tzFNxsUcl2VRvQHhFD+RweFyZLk4N4usGOKhKYFlx9IoAmAQ+4yumKm4ewyOAxrrGibLjkz1HNR3XAEmL4sHHYXl9w43Tmw0+iOWbLbLwoUHV/H5l2eV8Bo0nBPpiod+VmSnl4cMvzPFB1UNYK21DS7mohu09D6tzu+dzg2xeZWwLsXOeZ9Hr4N36BxIASR1LyGu3iQXoGpKZzTu/VkBcjiXe7QU2fxETHvke5t0WDu8UhjifFnWgKPRT+UDE3n9wzqyFsDWWOarpeQUoBIKqKI1BIzN6xuAgsSVJbWGxL9/XVkHblae8sSZolzAdnGo4JdhrwHnnJuUdP1h6TUBcA/HQd6vtoBZ0HCyaHmVoK8Haxeo53RO68rcR158oAmYy3k2dWRMe8Bx+21WfH6fu1Fbkvgp5KYndMRvjZR7lIoLAORaK67nSTV0He81LsZzfZe8Dyw1DMvz4S2ckv5YREw6hSEOx2nFD+/OJT8do5bcyXjnkUcCdXSs+Kqsi2EJyF/MFG9XxMo+D2Rzl/pkZXdK/Jtr9WQ2sN3hj7h6t0AbCIUuFNnwwa7RxtjlVXzMP6FD1EVdF2SdY7DVxYyL3nyGYmuLTEwi3ybsgG5UcS7NU/b5CwrCCwjldEfsjN0qDxr4t+C5zBG5LxQ3fD6yRR35SejgxoKc8O9yX1a6LnVEp1k3gmA1Q0HKSiQq9FUKDgEHTMM3YJdouz6279NHN0nGgAFiMx6//khacDWthsT4qENUvnU/9dD3NfXSduVWgBoSrnpUbiB8IPQRlODf6mCF3Dy7S8KQh7e3qw5EJ5qlb2StfiYWKpwcGWSmTfDf5fkWlSfKgQHwmqoZfDjDdQPUyvZPbV7GsMXg6SsAl3M+6ig43jRpCvP8lDp83FeCwRaxzIMQrAG6y1tLe7J/atpu82w9ulbCD8FqQ+K4jeSLH5PmjF5S+ju6PGnJmF4lh5QJemKPSpbi69wz9RfoXNdqDizX05fjT/JVQKaOabGAF0T+0Wa4EEsQQgIHzEQ5tvQFZPAlVieyfyw+ozAYJw+TiQ0WjTiA34aww2ml5A0s9p1cc3E9MKs8nNsDynKDW0q1k9gIp2klQcfvKo1qL+tQ1EKMol5zwK0IaVma8hLC+EgwVGU9P7eKLz1tepMNwtQ4Qcg67IlHiHs1aN6T1ZsrBA2jNDRGYJGoJKH6Fu1HysXJW6o6rqImRVijR2kNiDQnTFJ2gPR0Uw62iDfJHdbRhyr5tl8j/d0vdaaMyBrHmeL4070pxLEtCJTuIF1syG0gYpdk5zob64onbERo8bOr97Sp21Gf64iFs/P8bF9iAHPzcpg4w17u+T+jmrY2Pt9H464xqfC8so557RaNJHU7uPhQf3TgU+fo+cxCTAeCYkRCW9fFUd+LI72ltw33wnsiPppOJbLW0+zldNSwzRxfhVkY8dgR+DmnXFlkQcHLb+FqOZsE3PXmUeBpUXGxjsjdC9TOOLngRzyGGGSIWWlNW4zLii/t7x/xv/ChSMDRnFkmBYPCn6bOdtke2owziJKJepHAW1MTPu4mL+yj78/PiYpY+AA8554Uzj0r+8h+RZUaVFo4dqeRxpYZgRUGiS/jpqiHoTpfSaamPD+j5fsdM4Icci5eJSTp34c8vhlQv4C6F1GCGGnN8dW111eJYGyoxlJWGz6/xAE3qOE/xK/JdKnhCqVPt4d0iCraYiP3K/je0BYRIzbsjSbwvF38occosxBUNUrPTd8iC4BanYKQNg/NjXR6gT7BsX3oJxcBaOA9KSpzc05/aNyHDg6H3MbmxkkKjKd0lpwfucwjKsb6fkGk3kanunQPU8Au5GnQIoNmlAxQuqF2YY3qmC+j+2oi5CVrdxZd25CMBCK6ZUDqUMJg0FXZ/7sb6Ax159p6I4cvgYdztCxx5WPu6IxcQ9SMOLgtH9ziKR1IfxZGRQuZhoFYq8O/nsAP2X/9qZH2XCCGQPMmI68KyccdpOmogaAwM6faCeGZVEc8WU6KmqzYh3iJQquI6O1j21XArkyzoM4ZfoFTmxXi0cr/eCUi6XGUd9UBsUlZ++M4L56+2MNFrZ2lvIlPogPddzDsO3+dppRdaR3p8FicFrY30UzSjUJkJzqRbzP9/G0jYCgCybrI3VWQxjXXyi0Xlv+iFn6ePMdccZ+YAMHFWbulGZzMf6CwHXy9M4kFfMBGKS3Yi75taUNM6OHv3CFEPwqih03RITjaDh1TYTDT1GkEP83LFi8QB3Se6FvxBDm5VkD9LAR2CMVnt/uRHOCWApAuYYSDZCE0cssEMPnjTp5FPl4SOh3eBeF5dC0w/1gDnV7OJCKPriOk79dJY3iQoh+mP88nYdRcKRuQFrbMEf47gOnXtcQa5HWChMHBmy1/ovwo4rU80gXFVXHRJiRSPE/flGz73tkD4cxqGMpJaJ8GvHWHCKHcQV855s2KIBiYrAgBwNxYdJAacoDuGW10+KUu5sYQdw1XMpUe7wCDW7EzI2AQ2EFkeBlJDFLva1DW0Pc8Df77RVB/uJlK8AAIB+h1KjggipPTlDj3ymFa60HGIZ2Lx8UWYK3csesIzki/giofXQ4RU4FrjxED5dV7g42qsyJuNEc9d7IPXr1TU1Y6WStTy3woZbwXfXxV6T7310RjSnMPlwZFbR0rGAICqqK4Ogd61baTQ5TusdXoFaN9BAcSuSFEX7UNzYiAEvAYZ0rryeSCy1FgyHvOGpp7xQ/PLMOqU2cFUZWC+LAVha7aP5tbX/rE3DbhyVZrcfI8IUUnTXOEQ2jyNBaiO+Q0fhpGnWkEtB3YpunreZBx/4+laTxzAhdQJa70w4ZTCK+VrqaOWO8Sm6dgasYQLLhF9C6aj9HGGakQHv2ZdyBvgcThyRJLTLNmd3WA4ExKiCSxWHZtVNRzlFbU/JsIWUZooaY6XcTr2tLpi6LHyTQYqEw7pxQicD3s7rTDD4i2Kbi50rt7q5pmbCknvA19d1hdEpv5i+teUeC8qk3I46tVTy/0co5Eu3ZCcH1Te7DZoV2YP+3Zratl07PH5kR2QLPl0KNxjR8rZfXkIKdhAPJOYYbkV704GCY0rN/7j8WFhBPooXa/aMagN8KOiUhuWDPIeruKTQ/HPgAFJKaA72RLLM25zQK2gc7Qzzu+ALI1rQ4jXCMEa/ozN2uUvSxvqsGbmEhjQoImpUkayYMKXn9d9tvvS9BcE3oEkn3WdmSx8yZRL2RNl7GT2hgtj0JYyQMjw8BTkHDa0O0DP8VsEzVoLiQptRWLGuAGF7mStUJqcAymy2G0CF9bg58Vk+S/yJY2ftMx+DcPL4dzdLuwlhRjamSxGKaDMCnVa1wYIfqwQbfyWp8/P1OMrB+CFK/1XZnw6Z6furGq8fLlDwffVwS7OE+9dB6JYdIilX15Jf7DPpw59MMKhI1yPjGrE4oJyoxbGXx4F09stFAqtiVcOaSOK75eGF48isHbCXM3BIvAqJ1ECEML4uL9SbrNiskyczY+0Z+w2e/JUkrYc72glnzepfea6P77JNzX5o0COc6gMBNdKzVNImVVCng9NFTbEiX9VRou8a7VIAYvlEom/0imKcDrzeh+iD8oS1EV1xmwmdoqhGe1P2F4IK/1AtxpSbyvM6emj+NgegrEgiPctxf7VI+owdLxl16R2mL37mXQxoSUDwG5C4wRNtyOOMTv94bLqHAJQfeUKNP8tNjCH2ZBazTVPvr2eK+M6e51zc8zgx94w02N2ank6A0xUrRPfXxPP6Ml/ERcpPMaXn5ytTo9WOv46Zvhc6RN0oMjMC6pxUKF0CONHr3nCm6yhBfqCtZJTY3VmbzxIHiB740cS+Rk7eNEI+WSRkVuadD4BDG2PUVBFUiocsUpI/TM0vu26qKHKmZqBRNLGlBDlkCnqYyjESq5q+QSXgwE8NZDqC8pndm+WIb++G1Qm56Ho6nsSU2zi+RVz23Ay9drpZZMdo4PvCi5BlkBPdMLA8I1rwGJux0hG36M+E1LtGlvgHYkEYtGxCf06gNMrz2E6s1qcaahdVtmUlH+LTV2n3ubJ9HHTf8X6ca1ls4FBaQYW1861LeEKobvwt6FJIiyFmampPLqWxhW/TTl5OME2R8U4KjT5WmVXNe7SPObgIS/Dg9QvOwTiH8wrY7Vkpcm8Z0oPMCvo/iiErYREYaJWqi4miESGQ9UzhS6eI9KnPEg9TL9+fqWgrbsMGmG6PUClv5auBVNWPwp916CCZ+P/vJF7RZevE9nhCyJAq464l6P3V7ouc2XQf4Btx8VzNyChFNEWFsvLkWL0B9WrOdp90vFVyqk3fADOcxNEK+F2tbKhuSsAV87wDkGYoO10BDwiTVYataxv9ivafB9bdo9oRWFwnVW2GNPg+6zzFBNnwzvh+A9w4NIwRIChc60n7xmagPr9BJxFUTuQiP6k8VFKr5pFpxDRuNF9vBqUl6/Qy5B0aND05LI0k++LAwQX3VvzGb/tEDXeDVUEN7/uwfi8E1p++zLHHgB76VyLFEcckNB2UjQU4Ktp8LwiaAvoFwO6TT/+nB/rUivdUrveYw8azpuK/7IwxHbnR9Lyjve/sgfJlLT3kiPKhaocCToOJtxflVQz/Dmw2KG0bJCY5T+YavpnReEjadW04CBc71h1JNlz6ozwHq95pV/cRQgqwz/p+dyk0aEm3aL/FIAmRCUt082nvBKErmPYiTFosGiwtCkqq/Cu6aqiXIxOzAnLHHwCZbYRhAV66nhxoLt/ZI88fjakApqLE2yfmppGZjAFaHqYFPLsCWFN7soyTot/MV0uJAiG8G3DB6TEjqRgw2uXm6AZrzwDmoXoWIXYXvN2RrKBrebEDS/yCpDeENsNjJvKnE5cYsVglD4Q1/2lMLVYV2hf8O7IxG/8wPyTKWOfMpNdk/Iyd1O1HpjZ0ofycXMyrdCpcWKmgxI7tlCEXatcGQVLJdfoSGK6vLwbSlJHPxM0X1iJGqeQWNknUdLRLxRDJabjdbv2lwaTByGRcF7/CmSL4IFGNnloD5THu/hmtMEH3CLsZ78icTArkmlre9QkbghSKYMvjfqOs8cYRCIQBz3frpchN63ybJ6yodr7WK2ry5A6YVk1SAbnbU+EB40LNuglgi+o4Di2OJhXlXy3c/eCx4lL9/AwoZa3jOtn0V/AhzRSazArXhO22tcxtN/8gM54rZjp9nXMKBs62IrM0yYoX5Cf3gLMaSfK7ptmX80koqqdTIjTofCHXFZ60j0BaRWYqvFuqGIEQoA/VBa0qSdCwwWSk+mmJKu6cSf2StbjfgC3RSBVHyCUpOuGp7ZjE/irfS8jjaC3Lph/CEg3bweHDJK8Q8/avVvnwbvRmRDcdY2S0P47n8sDvMGS204HQOMWmLIXDS/GCke90xzjRxzNg15JILbD7VEp4mh8JWz8kpXVvraLNBdDbVUC2YXhFGBvSmDitSlZck6phU8FO2fq12HE+ltuGmLQRKqpenSTyP95vwoH3htmuPNGZIIUl55KqZOdJ59QMDrjBN7FOgkK/TdqGshy02dGa6flBKYqumeO6XQpkfFNW73tsk+ZE0rXPmz3QuGiEUSNu8rWgTabr9lCztlhRpsVwjkAOqS4T2NPc4rB28DBcUal6LBCJX9VZo9Ys+ar5uNjoMjOsCpr9/0QEnwGXQUs+rCfi9ipEK0hFQFz0KOLXzNevvPOAbzXyR/SSDmk6mUmPFP9v95PWqq55WYqJgz/Ro5SpvQxN+hsfbzVIHBvENHbJfu7666bQl1ZHSs8K0YUtmpNm++FriBkj6f2aLbHQkIHmfEpZ3jnBcN4lNcm/bANTez8FgEr+LbFooIXxwN2OLAs5XUztp0EVfQSiXTcpjyEe7f1PlR1FW+SiEd3BtsY9BZykPQ7wAiJhn9gkIEpE2DAYxdHvsGsfpnMuIuH9FCGRZs4cBeYtv3VetzDxcA3QOPX7EttKmFn6wblfh4fAeX4MftrozIQQgJP6eiZrj1AnizHHqk+zC3Xf+h5a0Ji6Pn14AgCZwmTkXP7y4gH5pssKDYV64h/QMRjk4HlwudCRYBb2RtF9d8XPVt9tgS5JCfOgH2FT69AlszEP6N54Q65mF8Qumd8WLXfsOGtr6rmb0o3TlW3KBfrzHYZf6IwUGbnNz40A8V+Gca9Rp+qEjxDHw6UYiRxFFv+7NbBz4sBGjmIH7L9VEsy6LplFmp6I1mFOyI4cxv8cZrqxnm1AMkhi7wmvraXs4n8SjQ0qqsyskQTjWnD26zqZt4JrqANv27cL+8twrKMZeg1LgmENcW1ij7tWaHJVH5VwGSedWuBS3LJPZz6qBT5E1p0S5FceFXiD47BtajozrUoZJ5G3sngrzgiYO7v09VlEsMj5hqBQkcU4NkzQqYHh4pHNK39dzg3/21zAlMYOwihKdAgGnxLjzJ/XdvRRr0L68R4bK4ZlgwbuMXFUrxlm2fROontnC+eca54PGYeCdwcMZIN3hyheNm/Ym1p4N8Dp46wBNbTwZHDCAPYnXqYzMFYEOZ5Al4rUVcX/ODE0tSfKjf7ld2ELOXwB8hAeyUn8kjk+V8bIMxzIKx5KPHtqayJ7D35lQro9wlO2vvwJ4QH8yU036/uRmiBcHOdSKKcFKpXmagT4j+cM4KOZVZk8Ze9JS3nneelenyY3UHKxjejrXLY6Q9Vdss9VHjrHJFFKHtOsJuY78UOjx2685SBOwwpRKDuMSURPOZ4UA6s1JEma5O//mocmX7Jt5F/tp7M7JtXBUbJDc/B+vUybc7HZHtCVWuUw6nOVXZNI4vEqrEdtRwrt6ZsqVT9xrr3NBcPmY5yCv8351V0C3+eyYtLJ78c/h8dU+q9j4lF5sPXud7nI8GXvNIv/h52HSZye4dw82w5sHUrxjwCniIwQAVCZiicBTzPLntroffEq2Y67lmF/chKeDKaABWPvZXB6R778OXE2SS4/UtSsXQy4dovx7advRx7rokg9er8HmCb9btYfJB1vo2zpixBxoFA5VRnLFIRrtO3RzcpvdLe5a7DbSkVwowTPsM+CJMWuw4DWqzzk5zaY+Wx3VnW6rNPNRQUD3TlvxSf2nDEOGTh5+6wArR3r2jK5ifQDoJz5mgGyAlXHt9RU8l84YmAci3EXNooJHxIXHljjGCzVx2+HgOs2VN/Dm233arvj8e6XY6evC0hDzXXSkP8iexvkmm9AIQhUUtGpEKPx1+12epHQGJ36E7/nvkeIhlu8WtGPTSL4JoR63ihTaoUvUCG4P11y9Z2Rj7xTC5fZeb9Nc5DeNO0TtCZrxdyEGWWj9zEPPC5BaGSP4y1PXk7NffHygtwNR9wcUgyVIPlZtLgowcypKfRNs4ESadjHgYn5bfUrAoQWoypRo/V+12L038z7vArv6zBxb0Lf6fTT/w8uhM3oavfN0FPMzoNUM6DeFQehZDdYTizoeab3/WLUPlHbbxH8dgz+ShtqkDtm+KeLDmhoCiUKch13TSlI9EhVBKxpQXJPlAKRJy2eBfR5MB1Io1jtJjmtmdH+m2XgDMbmVBC2NGm+ZdviQMKRL0onK5mGkH9I1Swa+uM3xFdDssrqsePGE5egqTzly/TbVRWVs2fMsKbNSbt3cImBpKs5Unccl9Omli6NsNO5PXosaO4OdTYD5EPYpUW57NGApZQli1F3zlzN7lf/u1ITSEx7N0CssLbM1Nz5if1xeZ8mDsZFOYhyRnNjKoIVeT7047UPXhE13jw2BzC8PaEf4aXtuwtQU9wmT+5w1V5/VE1X0qcP4NFjLURVHCHMnE7YYLI9Z+IqhJuLpa1Vr/h2mTg+dvpRgd1NsYdVj6gUKs+6MAb/Wyw6k//wM08E9Xuz81sRltNC85xAfpcuyywqULpzx3rkhCjH4XqirQpou6uQiGMory9U4RFYUlsvcJLvv+KVjCS2c8hkWYpDJVOU7HHgXsxlw0BGQgYNM1B2p/5hFjbfqkCh2orjN2LTDY3QKJ/ELTUjobd/Hm+DVtXKVK/5edPHUAq3/mKd+kiuJ0fFyKCAwpb7v1ICRZGkQhk1nLGdHzyVDlC146P1imKGy6K7YTT4Nos1KrIjlUF4SltT6q/aKIzFvvwuFX5YADtsKS+Jas8UKMOAvziBi8dxsDPkD/vtT8Nw94iUYKYmRv2j8HhGzTclEgvHhojPYEVHv1E/zbJ/3rYb0vUv4ymzWWcOO4783LX7vHgyBAWT9YhBVLzvIrbbZZpRhIFYmd7haEJA+VuLHyFhcJC3Yrq78pCM4LMqZBdv+IAM6OKd+7FIEEBVzuB8cG/IJoJbQvc+cJQme1oTewc7DXGaxlsKZO+T/aOIizVXRpvRi2QIgOx4z1LsF4JYDK0FMncNMsMy7VJJraAA1wG5en18pHmrunFHUSNGf8nrRgwPUjup/z6o9IWJXf76gjHS9E3Re39ss6oASORKlQw7LOhqd2+mSjAxxlWTeh8XTxjCiyyrxcxqcpsBRxavV4tJWLrXZgMbcVRa+2yvXy44B3jShqYGj5icbPdocT9fNcAzRxZigsDql+PgPd3uo4l6Ow6ieiLr0D6Q57zVWYpUT9XSTddW0aKO+9xz2AodRaHWdSeYLYkBBtuNSH7OKLSc2ddN5yqcOJ3b5FwTtO2mTbCVz5BcTm26hfAQ8sUtWt+c0Ku2LB9ocBTyqm++NaaOACE2JGTLzNvdnwrtnCaNtLXYLzhc7kEgiR7+hAvU0TV/JNTRy2NiCWOfDsOoWnz7bNxMkKxsypxEaMTMt9tlagf389gRlZ/rQ/epKz2Huo8WBflKxTK0tlPJ+h8BT76eVJED3d6JHv8VqHttirKziu3rO8OJXSXwan3dVSmKAt6GUrxpvC5/9wA/IAEOzyTWZJQKCcc271wSbsRNTJQM/jrC+JqBDHtlS1R3h1v0bqG1IsMBhoW10ids4vxZIOfJuVXrHzD0D1A4r94LRWrdjql+EuSKc+FmsgPZ3ogiagq1k9B4gpX9zrZMNsIj2io4oOMO00qfChQPyKlg6AfE4VXZ0ynczxuuSXeMB/PHVZfj9hRAljwcmUj/YCoh35r7TWTBWIuJ3UvoDuPTURznsi/sG4sLk8ikA1V7c5XDG5XO5sSUgZ3o2cVc6EKJXx1A0aqM9+MwG/93DZe4v+G2m3d2stUwzPovWR3ViVzNMi8KC7IH4um9tMxath2FIB+UO2YXlhZOz+9y3e9I4OZYAwmI1hBsbcILL9HeUheDNxNrbNy6ZeR/nN8UT93aJs0O8TItlcsjkc2JegSmjF61giuMNEEKRFBzh861jwWbr72EO0RaIEWw/JuugvA9sBYNY2jiO4m2KA5HcQp19HLoaFIRPI5FcRRlZsixoVgUep+04WSzDgnb+UncqIpoadFhQ7rFzl6lBUOb11zGnL3fjG2fdh7lhdSnQVL/M1Nuamo1Yuqh76bBjDHEd9YkyEuStLQjbXgpBiiqNPiJC0JMgZqEQliDc/fzHfOLziairI9n8LnkBSMSgoTW4JDjmSoS6jv3n5z2xjFabDgYsdEfEq4t5mexvATQ9vy4K75fYWce3S9p1gayUNG2b0uxQMEzuuFLn3x7FtqvtqMi/ESPxCU0QUDcfDLgfWyhpjGzmTLYRinqxR1ajFPcFY7l1nOt0rTyuPf5jQOosYGelPrPmYM9C2OnSdTaAEq1sc5LZNX/rhgliPEkR8f+gVwxgFyC+pcn2VyEWOpMhJZr9QMWERgBw+3+thbR4hKvAdaAqDhvrUKR4utDBsxoQSamwO3BrdNpbnAdajtO2Jv4Wq8Bk1wklnTds7GbVT+Lg==",
"__VIEWSTATEGENERATOR": "CBED066B",
"__VIEWSTATEENCRYPTED": "",
"__EVENTVALIDATION": "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",
"ctl00$Bar1$ddlregion": "3",
"ctl00$Bar1$ddlLang": "1",
"ctl00$ContentPlaceHolder1$hydregionid": "3",
"ctl00$ContentPlaceHolder1$hydLangid": "1",
"ctl00$ContentPlaceHolder1$ddlMinistry": str(ministry),
"ctl00$ContentPlaceHolder1$ddlday": str(day),
"ctl00$ContentPlaceHolder1$ddlMonth": str(month),
"ctl00$ContentPlaceHolder1$ddlYear": str(year)
}
response = requests.post(url, headers=headers, data=data, cookies={"ASP.NET_SessionId": "YOUR_SESSION_ID_HERE"})
if response.status_code == 200:
soup = BeautifulSoup(response.text, 'html.parser')
# Step 3: Extract data from the parsed HTML
# For example, let's extract and print the title of the page
# title = soup.title.string
# print(f"Title of the page: {title}")
# Find the div with class "content-area"
content_div = soup.find('div', class_='content-area')
# Initialize a list to store the ministry data
ministry_data = []
# Find all the ul elements within the content_div
ul_elements = content_div.find_all('ul', recursive=False)
# Loop through each ul element
for ul in ul_elements:
# Find the h3 element (Ministry name)
#print(ul)
ministry_name = ul.find('h3').text
# Find the ul element with class "num"
num_ul = ul.find('ul', class_='num')
# Find all li elements within num_ul and extract the link text and href
info_list = [{"link_text": str(li.a.text).replace("\u200b", "").strip(), "href": "https://pib.gov.in" + li.a['href']} for li in num_ul.find_all('li')]
# Create a dictionary for the ministry and its info
ministry_info = {
"ministry": ministry_name,
"infos": info_list
}
# Append the ministry_info to the ministry_data list
ministry_data.append(ministry_info)
# Convert the ministry_data list to JSON format
import json
ministry_json = json.dumps(ministry_data, indent=4)
# Print the JSON representation
return { "msg" : ministry_json }
else:
return {
"msg" : "website not working",
"status_code": response.status_code
}
print(check_site(0, 24, 9, 2023))
from deta import Deta
deta = Deta("c0uJEdiLS8zv_tATyVLnLAD5TL2QTqcNkPhWCXRZQbZwY")
# This how to connect to or create a database.
# db = deta.Base("pib_db")
db = deta.Base("pib_db")
data = {}
for b in range(4, 10):
for a in range(1, 32):
aaa = check_site(0, a, b, 2023)
print(aaa)
if aaa != None:
db.put(aaa, "D"+str(a)+"-M" + str(b) +"-Y2023")
print("inserted")