{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1eff5689",
   "metadata": {},
   "source": [
    "## Solution Of  Internal Paper Of IBA CICT 2023\n",
    "## Program :  NAVTTC  \n",
    "## Course : Big Data Analytics (BDA) \n",
    "## Batch : 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "c4ac7dda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# fits column widths\n",
    "from IPython.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))"
   ]
  },
  {
   "attachments": {
    "paper.jpeg": {
     "image/jpeg": 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EuC+qW++++6qCCKG6C++++yCiCKe+qCGe+8t5ow4xBBdx99t9999sdpAA88YS+K2uC+++++yCCC2yi+6++iCCC++yCC2+8999AAAA991919xltd5d9NoAAuoC+OCuiySy2yGCCe+++++6+qCCS+yiCGe889pBM84cxxBBBhBBB995994AAC+M+uS6OCCCyCyGe++6u2++++yiGmCCOe+884BBwijBBJf9t9BpBR1M9995xA+IS2KS+uCGGOOS++++++++uieieuKC++++4AABMOP/AO+9+bdTXRQQXbfffcAFPIksgmvjltovvvvkvvvtvtvrnupggvurvqEEAccc8xywwws/fbSQ0wtfbAAQPJCvignvvvuvsiogsgsmsunvvvvgktvvviGYQTWQz3/vviwwwvfyw0cY9iAFPOglvqgosvvggighggggggnvnvogigsvvrAQQdff8+wghs97zg8/7yyggggnPvogvrggggggglijvriiggkspugggglvvviRfSggjh3vvrg00jik8/rjggvvtiglvqggggggjnvvvvvqgggoqrggggtvvvvDff/EAAL/2gAMAwEAAgADAAAAEF4PhAAollQQ/XRYZQWktq1+3S17Tyny8UXKggmskg0dAT/lYxQP8R7xes8e3V9vlkPjvtMiSWdu74SxgTcimiAIIDV64yWu5+ua1lq8x5GcQFP/AM//ADrGtQhrGUKMTcdP05BTnKmuiO6yKS97XqAXzh0u+6ubx9NNNt5xBNV919px9hxVxM19keeosJBRlB999tZNNNNdhFd1F9wgEMMA4wx9hBlRBBNd999pFpx9x9N5By5jO8wBhhs9xdpBBxxx1xBFN9hlRl988w088tl1Z9h1NdxFJV9NBZNptVnlRPrxtVYu75BNNxJFJRJBBFV9xlN9pV5xFIBRwhNV1ZJJJ95xJttOGVFVJhp5ZUvCVN4VF1x11Bd91/n9PP8A6QVfcYYSXfQecNPaRTXfbYQQbUcWccQdccecdWUkQ02SUcSZURccccYTQf8AOEH32kF0XnHkEHXzyD2FHHEEVW0U13k0lHG0002n7ZsuFU10H0X2EGU0kEUsM1Hm0lXlGkSxwBSzwyRGUE1VXEV2EFHHGV0n2H30Vpkf30EX2VEV3nH/AP8AfbTfQbSfYVQGIMMLPHGFFNSTXRcBPQTXTfTQUccZWVUZUsdcVaQfYWcYRzwwQQcQRcfTffEPJLXZOAICLGQQEaTfQRcccccVTTTVcXV+DkQaUUfYTQffe9XfffTAFPAAMOHNIAADCHNGEMNPPPLTQWRTSQTQQdcbSRYTohWYXQefcTfeQUcYUdcBsNPLMPDBHCPJIOOKKMKEHFIKTfddfbfNLXSEffbYpsYVQXQaRfYTQTTQAJPALKKJFIENGJNNIMOOMPLMMECQdfSQ2QcHDHTPMEYWRTddXSVRXYQVffPbTHTCOSYdbFCOMPLCEAMMEIOIFDAX+wQVfTQRWcddSdeYR/cfYecXCDGMcXcfffffeQGMMDPLDPPNPONPPPMDCHdPQXfeUXbXSTQQfcbRW8UeXKBOFOAABLAAQQHDDHCAMICGJDDLDFLLCENPPPYQ1YQYQQQcdfTSTYRSVLWQeQFMMIAEPCUQQAEIMIOLCGILAANOENPPLAEPPMRX7QRTffXQQQefefVfQeJGIHKHKGOFEAHLLJlZHTaLABPCAHNLHHHPPCAAABVfbBXffeMbXSQQcQfZWQXMGJDJFNPPOCMMIw0MMAHIPPACHOMMMMMNGMMIHLLHHCPFcTTeceeYTRQfY/MHPPCPOELGPGKPNbPIOHFAMKLDOKPCFDCOCABNNODGDBEBEDIKETbXTfd718HMAODDBFNEBJEPBMCOHPKALJABHDPJHDJNABKMNKGOIDDJDKINBPNPbHaw0zOAPAPHPAIJOPGFEJIKAIENDPKHKBHDDDLPLPGJDLMIPDHAAIBPDHAQUeZZb/AHIAHEHPKFJHUEOLELBEIPHMNJMPMEMJBGNOKBNNLDDCKQQYAAPOMCARQYewHOADGECCEPCINELBLJDEKBFFMKIEPHMDLHIGMJPOEHEMICQQcQEOPCAQSfe/KFMBEOCNLPCFCBCCACDCPDGLDFGNDEnuoghHGJOCIPPKBHbUQSFPUKAPffQdPOAMCHHFOBENDGNBLNAMJCPMJLGJHPKgpnlHJLKLGJPIBcLTQQXPIMBUbXSUAOPAHJIGBFHELJCGKCAFAEJCEBDMFCAJAPJMJDMMMBLKJGPBLQQTOPMVcfRSMBPMEABGOIAFBDEMMBFFLBEMGBBBCONIMFBPIFHIGPBMCHEPKAAOMIEUefWcBOINIFIFPJMPDNFHOHKOGLMJPOKKoKDAFlEFCIAOOKNCJLOPLPBOEPANffTRPNCBPKBGLGFCDPDDPDEGIMDJOFIDuAIILHBFGIIPLPPIUNPDCBLDDOAEXfUeBGNNKAPPOKCHHCHjuDOACEFLPFCCthtNFIJFKPEMBEMBADNELAAFOAAEDRYTKJOADHKKBIEAGFKGsFiAKJECGNANtsplhgFIBBNCEHGGDHLCPCADCEMNLda8GMIPsIEFLANCHKJBAAKEHDGNJLLHMLvogvJMFKMDDNOKAGPPOHDPKENPPLf+MAnhjCNMLAPNFqFPCEAAOMEMPBEOIguqmjFLLKMBPPGCLHFGInnMPKOJOPaZOqjjoiutikvvnjnisrphmvvopntghnjvpslggtmvukihittimkloCAEJPOafIsspjqgjrimhugnvsoouqnujkmhvnikvnpksmknvvktlLgpukkgLNKHBOPcUlguqjvnmpgrrojgnhmtskmuPHHnmmhvrlvspqhuvsojDHOPMMINAEOANMMSQDigtnkoglgglvtjplgmnuvjskknlgrjlsooluosnlsBqlELAPFLAAPPJPPQQvughjrhhkhjjvnvusrksMjvugvvvgspigsnvjIkgjiikMILDnMBPNLLHPPQQHuthijstrltsstsshgggANtrjssluljjjttvtAPvtkjvMsphqvGEELELDPVegrjissvrkmnmrnssuvgNrjjgnushvvvvrghqlvPvrgshHNBjuMMPAHHPPAV0tvvgshjjjnqnurpjkinpgjvqnnjjhugvvjjgkvsrglgEHPgkqHNOAEPPCAVQjjnusmmmsktvsohjhghmsonqtsvtvogkvrhijIEhgjtMGOMhoMNPKCPCIASTCgggmsntrjogilsgkmkvoggnvvshgggksuPLHMMIriPPCAAhsAEMLOEDDObREskrjrnvsgnrqqkgulihgspnpJnshjoiktPHKFMAHIMoggusgEMPDPAPKBUTphjhhjhmsvuokuNPmvujnvqiikvugjljrjAsJHOMNBAPlPPuvPLBPPPJSXQxvustnihsgjpiuoHOOnrvIHipkqFBhjgqnholgDOMFMOMALMMuHvGAIKHQaX8kqktikssmokiBOKIADAPAGLssPKAPMErotmotoBCMEBLLJGMMAIHPMLfU604okphrloiiDJCBPCGLDDOPKAHOMHmoHDAggutPPLPPPAEIAAAFDCAEPOYQ8x8POPLKEDAABAEPAJPLPHMLEOOENOsMAEttrjiDMAAMMAAADONOPPPAAQVQR/wAwwrDyhCAxgAAADQxDwgADwxyxSoJL77oJ4RrTCAQwSzjTygwAACBTxjEkU/8AgEGI484sq00QMwk8EsocYQ08wM+Wer6eeiRKO+UEQoko0kcMsEgYokx5lBD7MCe0ISeaOmYwkAAsgAwgcckIYmGO+CSCCyC2e2uMMwsssMswgE8MlNx19BfzMOCCOCeuGGMwo0cAAA888AE8gWeuCCiyyuCCSQwgoAQAAMMMMAw8JBY885V/UwkIKS6Ke+Mc0EkIw88MM4ge6aGO2+KSKmSGiQ4wcg0w8kYsMc0osY44tt1FMowkIyCGe6Mw2+YgEw2aCCqymqmuu2Oem223yyWS4C2GOEMmKaYUAsw1ltBBkIAcksEIEMck8w06OMc4+W+eG+euuG+D6iCyyiy++OCCecGOwe84E4gA9pRLQgcsMIw8C0wwA4wgwAwAOe+ym2yGK6KqyCOCGKGO2wsCc+EUIGWcUw8N1NxJcA0MMUo4kUu+g2MkMQk2mO2OqyeqCiWqaO+++qquuCgGCw08++e26+wwMVJZIwAUYc8EYC8YIMU8s846K2O6mO6iOaKuOO++uqmeu+AOqIie+ySWq2yUIwpZ04kMo04cSmKMMkgAYwWCG+qGuiOKO+i+uCmOCeOqS+Ca6AO2yW6y+6yMEI91wwokwCyku8w8uc6OC+Ci2u6+G2C+uaCOG+6a+2K6yii+2aiSSCC6qCW60YgMwddE0s0IWkO2WquegU+uy2GKyCm+yWiW+KK6uOaW2yy+CaWa262Ke22iWskQRBJAow0E4QoAUc48oUQy2qCOym6qS6+K+6iCKy+u6y+aCGCy+y++G+y6q2JcBwh90UI4McAwEksYsw0sUaOqg+ee6OyK66SG++6yOieuauyuqWO2kWGOSyceAAF5gE4QIwQcIgMEEEIUcei+ai6+iGOC+KS2G6u2SyqSiOCe2+qC6WCy6gcsRAFF5tcwcYccMZZAgcIw4mSCe+iKS6CiGey++OKWGuSy+ee6iuKumOKQEAAEU85pJV9lB99BJhBAQwgQ8EcqWGC6CaieSeq++W+6CyCS+yy2+6SiW6GegAw9885RxR9Fpd9hBBFA04ARsQosWWKmW6yeSWiOu+88OCOuC+GOaiiG2iO6Gas8kMc1R9JBNxBtBBBQ08IwwM8IyKCGWqCCSyqe+26C+CCaCOce+mieqGaiW8t5ksUNtxNx1xxBBRFQhV8A8g0CCimSq++ue6yW++KueGKCCe88+CeyCeCCU999wwwA9t5xJBN5RhVhBhU8A6UqO6q+O6Sy2yGa+iCCCC2OCW+uuOyiOamM89tJA40QNN519Vpl9BBFBBE80SKw+OS66GOO+ySyiS2OSyuCCCOe6uCeyiGM88FBMaXxhJ/9t9h51tJwBBBFNI+Ue22yuS+K6ySuC+eOGeqCSeiemuaeCCS+4QgBcOPzXXrVxlNdhN9hxF1BM8UoOSmKaKyCq+CC++S+2O2umCaiCmCeCCSSoQQBd9PPv7jzyHBRtJ/v+JBQ81AoIKqWCe+OW++yKiK2CyayqCEOO+CCKCCGIZBFNZzrXySyLT3+x/L/ALTXytJFOBrhqlgosvvghnvuvjrgkgnAHvogjtjolrAQQefczx8spj273sz17+2shrgnDgjgjkvjigjjnitsgkttvqkshugvolqlttiRfessvh0tsLo4/hipx0pjggugililqlukkshvsoqgggglvvhoqrglqninvvvDYf/EAC8RAAAFAQcCBQMFAAAAAAAAAAABAgMRFBATICFQUmEEURIiMDFBQGBwQoGQkbD/2gAIAQIBAT8APUSTIul/CTFy6f6DFO9sFw9sMXLuwwaVF7pP0j9SMcCMUCDHgV2MXa9pi7c2GLl3YYp3dopXewLpHeBRr3EKM94o07zFG33UKVrsYpmdouGthC6b2J/oeFPYhGKA8yS05QRl6BAmHVeyQnpF/KiIUhfKzFI33UKRvuYpGuRSN91Ckb7qFI3yKVrkUrXIpWuRStcila5FK1yKZrsYpmdopmtopmdop2douGtguWthC5b2ELpvYQum9hC7RsIeBO0hBCPqFphai7Hj6ZqfOf7ar1JQ8rnEy1eK4+QRQUFqvWF5knxhQk1KIiDbZISRFq3VlKCPseCDM4IMtE2nk9XfTLSi4wdO1HmP3+NYMpKAeRmVjDPiPxH7a0+mHVWEREUFrXVF5knxrnVF5CPseuPlLStcUUpMuNddTDii51zqUwue5a51JSkj51x0pbVrh/4ZeQy/EsfTwIECPx5FsfbECMUCMECLIxQIEWQIsgQIsgR9r5W5DK3IZW5DIZWZDIZWZW5DLDliywF9tSJE2zZPryJ/jY//xAAqEQABAwIFBAIBBQAAAAAAAAABAAIDEVITFFBRYQQSICIQMUEhMECBsP/aAAgBAwEBPwDUSaLEbcFix3BY0Vyxorlix3BBzT+RotQu4brvbuFiMuCxY7gsaO5Y8e6zEfKzLNis0LVmjaFmX7BZiTdY8tyxpLisR9xXcd1Xzil7HcfsFGWMfbkepb+AVmTasy/YLMv2CzMnCzL+FmX7BZmTYLMScLMScLMScLMScLMScLMScLMSbhY8m6x5LljyXLGluWNJcsWS4rEkuKxH3FYj7iu99xXc7cqp/ksNWA8ec8lPUf3qsBrEPKWTsbyiamuq9KfVw8XODQSU95e6urdMaPI3Hh9CpUsneeNXiNJGnwnkqe0fWsAofqAfiaXt9R961Caxt+CSSTrXTH1I51zpj7Eca5CaSN1xpoQddjNWNPGudOaspsdc6c0cRrkRo9uuD/aJ/8QARxAAAQMCAwQGCAQFAgUEAgMAAQACEQMSEyExIkFRUgQQFDJhcSAjMDNCYoGRJFNyoUNQYLHBQGM0gILR4URwc/CQ8YOSov/aAAgBAQABPwL/ANkzP9DQVY7lQoP3Sm0Okb2odFq8F2R67GeK7H8y7H8y7J8y7H8y7IeK7I9dnqcEaVQblB/pqFaeCsdwWDU5V2erwXZaq7I/iF2M8y7H8y7I3mXZafiuy0l2elyrCp8oVjOUKBw9uWtOoVZttQ/0LChQVaVhu4LCfwWDU5VgVOVYFTguz1OC7NUXZXrsjuK7J8y7IOZdlZxXZqa7PS4LBpcqw6fKFDeCy/1zmhzT5f6W1/BCjU5Suz1eVdmq8F2Wouy1PBdlqeC7LU8F2WquzVeC7NV4LstVdlqLslTwXZH8QuyP8F2V/guyPXZai7LUXZai7LUXZHrsr12R67I9dkdxXZDxXZDxXZPFdk+Zdk+Zdk8V2T5l2T5l2Qcy7K3iuys4rsrOK7NTXZqa7PTXZ6a7PTXZ6a7PTWBT4LBp8Fh0+VWM5QobwWX8xeIe4ePt8yh0aoUOiN3lCjSHwqBw/qXpIiqfb9HpQLj/AFT0sZsPtqFO507kSAEekN3LFedGr1xRu0JTWudvUGU3vj+mclIUjipHH0ulD1c8D7WmwvdCa0NEBVu4UGgUT4qn3XJozGyjm8ouZpmnEObO8Kj3v6Ic60Eq93IVc/kV1TkU1eUL1vAL1vgvW8QqtaqyF2qrxXaavFY9Y71i1jvKbUqmRJTnVW6kr1juKAqIMqSfBWOdMbkxp0lZhU/dt8vRrCaTva0KdjfHqrnICN69aREZK13OFDfzFDZ7yhh3qGH4lTiTB/oir7p/kqjnNp3BCbdVTL3tm5UXl7ZPFVSYhp2iqbrmApxjQKp6wZfRVGW6LvOHmukEMtY1MeWuBC6O71w810k+ucq+xRYGq9Gpr4ro3fd4hN/eVP8A981R92PS3+z6PS+I/TrrVHAiFLuKayQYO0gzZz5lZBPBGEFQ+I/0RUzpu8lUz6N9Ewy1vkqA94PmVORUczcENqo7Pu5L3dTwd/dVRsrMDPdmqj5tzyWYIPD/AAnEV2jcVYcpITIxWHxXSSx75BQrNNOx/wBCrWcykGPAKk7DdJRguJH/ANlZFdH0cPH0qoiq/wA/ZUaVzvAehUMvKCYMpgT5p5fIkZo3E7TQvi+qOkKl3T5/0QdCmW4TWu4IFoECUBTG4qW8pQgaMK1+BbfKnU3ubELsbuK7I7mXY/nXYhzIdEbzFdkp+K7LSXZ6XBYFLgsGlwWFT4LCp8qa1rdPS6UIqeY9jSpXlAACB1la/VZLZaPFSJpmVcHDa14oZBDeqXd/qPpY7p9PcmNLzATGBggegWkgodH+ZdmHMuzjmWAOKwBxWD4rC8U1trY/qPpAmkfTAJMKlTsHj/WDhLHDw9Po9KBcf6yqCKjh4+jQpXG46f1n0oRV8x6FGnefBafyYPadCiQFcPTLxdHpkwhUadFiNmJ9B1QN1TXXeg99qabmg9dR9m5NNzQePsXVHCrbPBVpFMkFUTLPqf5F0wZMPoMaGNgfyY6Lo3dP0VR1tWUKtN+Sya1YuV0ZK8W3LF2boyRq7FwVJxMmEXtxILc1UqhifULACRknvhlwTapc2QFSqXjqd3Sujuzd5BVNuplwRyYqbi6ZHV0rRqoe6HU6rthqNYtqBpXSfdqnfgghUat88VIXSu4FTvwARuCoVb5G8JrnPe4aKlUcahaVUeRUg6Kn3nZyITX3vMnLgqd12eiY4vrkHTNdIFtSU7Nh8l0b3f1/kXSRNE+H8qOi6L3T9FsuLmncqtAASEZNBUgDTiVUaMIgKgQacKpGGYXRu6VU98F0gbQKr50wERHR48FR90V0YZFYb+ZQQzNdG1cq+ohNMU5cqdUPnq6Tnb5qgYpBPftABVCbwP3VQbbSPBVxNJUsqWe5UaXePFYDeJVcRSACpG2jn4rozCLnFBxdUz0TBFeY4p0FxBCpMIeeCtcx2SaXE6QFhltS4KpTdUOm5fAfJdH0d5/yJwljh4fyp3dKoCAsNszvVnEqAsJqgLCYoEQgxoVjeCIBVrUQCrQg0DTqgKxqtbwR0TGQSeqBwVreChvBQOCgcOqBw9CBw9kU1gbMfyOoIe4eP9OESP8AWdJEVT4/1x0sZtP9OF7QYn/WdJHqvr/I5CuH+kvF9vVKc8BwHH0HutEqm+8T1tcHTHpveGNk+hIUq4dRqNG9OM03EHcmuno5M6Kk4YIJKxmwHbuKqVgzcn1rTortuIWNNxAyCfWtY0xqq4OwT4f6yqJpO/kVZ9jCVS7spwCxJcQNybUuBQrONMujRYxw7oTqkUr1iuwr4T63q2uG9PqltniukPLbfEp1SxoTXm8A7wsV+MWQnvcxuY3pjp8k4wE+s5oYeO5dIqOY1pCdUc19P5lUqEVWMG9Oy6S0dW12qJ3LpB9dSTaju0WFYhdWczcFSLrdrVVvduXRpNL6qmXubV2tFRc51EyV0b3bj4lU76gdnnK6RdgjPNMZ3XFx0VO51WoJOQXRnuwqk7iqYe9hz2p1XSwcNhTdFXys2t+iZI6T4Qnt/EtzVdltIhu8prZbTdMQOrL1tq6P/wAM4eapiOjPHmmNu6NanD8O1m9PpTSt4BYc0iTqqbYbnqUxhpk7MqpTL2eKqNe+Mv8AWHQo/wAhe25pCph7BBC2uCaxzXvO4plMtB4lNpOFJ7eKwnYRb4qo04FqDHGiGwnUjhWhOpOcGeCrUzUA8FUpF7B4JgflIQpuFYvTrjGWW9U6dpcf2TwSMk6gSwBVaZe0BPpXFh4J9K54fvCNIl4dPVhesvT6Vzmu4LC9bfKNHbvBzQBG9ObcITKdogIUQA7PVNphoITaYbvWE0aI02kAICBCFJoJKZTayYWCAciU5jXNhAQE6m10SsNsysNt129EAoU2Dd1Wt4KBwWX8lqiKjv5QRK7oWI3j1T6E+lKc4COqU5waCUHAgFEpjr23K4K8cVOUrFyaeJV7YmUHAo1GjesRvFF7RvRqNG9Ym03gVe0mJTnBuqv22jcViNmJWI3isRsSsURKxBmnVLQ7LRYvhulMdcJ/kvShtg+H8pcVJNADenOeMp0aFPrGfpQc65uveQc+Tv1hNLiyZ3aLPDpwVd6v6KmXXf8AShdhEznmqZy1Trrn+LV8VLyWdo/X+yN23xkQqlxvjwT5OJ4syRB9VwjNaObwtVHKkAVG755lPbIq+JEIvBZHgvgpjgVbs1BxKY4Cck/vHLKU4TifNCLYmN7QE8aRyQVvpncAmbJ8k83FrhuXxMPBWm5juCAPDcrTDhnuREtaIOUIMOeWZKscbpGqwzw3QsN2Xn/JeljYB4fym0FYbVY1WNVjVY1YbVY1WNVjVY1WNVjeCw2cFYzgrW8Fa3grW8Fa3gobwUDgoHBZfzmqLqbh/XLxDiP646UIqf1x0wd0/wBcdJE0j/XDxLHDw/lMgdVwQIP9OVcmqpkwfRD4Y+qxRcRCxAnvlkjihUGyCgfWkSsRswsQZ+CxG5ehUfw4oui0dWOImChVF4bGqdVictE6pAaeKe6abstypnYYPBGptlsIl1wyVVrYPFOa6y1U9SLYKo/xP1/05W7o8wqjSQAENE1pxCYVpDyfBYbrI8VaXFngrCXP8QqY4t0KIPrMlabWIiVYOJQGSfSdswckS4Obw6sN2GWxvVhvaY0CdTeS79kWOsYOCe0lkLDcLSEWE6/dQ64Z5IscTMq12W0ozlUO679X9OEA6/8AI1r6Ze0T4emSACUNFIkDqc8Nt8T1T6BcBKkKQrm8Ve3ijUYN4WI26FiMM59WI0AngjUaJQqAkfVCrlJG9MeHJ9QNnLql1oiS6VfF0jRS4uI8Ex5hmWqxDbdGSxHbWWiByWZNNxVzpGaBNmu9MOv+snaOaujVXt49WJ3TxV7YlAgomE2oLQSrxMLEarwsUfv1Cq0x4oVAUKgMeKxRH1hCoCqZm7zRDpyPBPda/am3cVfBa3iNUyrcNEKkNb4uKxNmY+KEaj7XEDRd8OG6E1sF3iryXuaNwV7jcBEgJtRzrY3tlNqOc6n4g/shVde0cSf2QeQ3Qe8hOebasgGEXPuIEZNlYpIZulsqnJYCdUXvD3N491Pe5s56QgXmq8TkITXuhu6XlOfUF+fdIz80XPvqAHcIVEkgzxVV7pfB0hGcWpn8GSZMdHAccxn9k+6a7Z+DJDVgDtWmUHH8Pn+pDKmM/j2lGz3/AIlS7gTQ6a2ZkEwgMjtHuHJHMU/0LV9F3y/uqcyJcbt4Xw09brxKqiabh4IQbJ7tv7qlNufHLyQb6yprO77JjdO9MZqzJ7QPh1T23DJvwlRtMdbuIKFPuyze5PY4l0DgrDdV2dQg1+Rj4IKDSJO61MJIkhOpyfA6rD2Txn+yLSSw8FhnPzkJoI1T6dx13QhkE1ts5p4uc0Roc0W5zKwxAE6LDH0Vgz8UBCcxsEwuikue4Ob9Va3goA3f6xrc3SNVa68niE1haRwhFBr9jLRYb8tO8f3QEK195O4hYb4A+VWPkfphYb5nLuwsIwYO/JGmSBpMyihTOxn3UKRlpkZBCmRZn3VhHjndKLDkZzCY22c9/VYc9rIosaQ3wQYAXHinUu6M4CNM2RnqgHAcfNNaGtA6jTaXTvWG2Z8FY2fpCFJgt8NFhMy8CsNv7ysNufjqrGzPhCNISOAGSaLQoGqsYZyVrRuVrI0VoiIVjOCAAUN4IBvALY4BEtbmevJNcHCR1hwJI4ddwuI3+mXi4N9KVKkK4IuAElXt4q/aMov22DcVe2YlB7SYBTnhuqxWZeKxGwPFUyTdPFYhl2WixPlKxchlqsTLRRa3IauzV1uQCuddEf62epzoEqc1KlSpCkIPylAg6K8TEq9vFPfaD5KckKjYWKzijVaJ8EajUXEvt0yWK39kx1yLjcW+Cp1MmgzmNUKgtGuZQMiVUfLcuMSjVh0RvhXu28tCqb7rvApzjiNHgVi90xskxKqPLGzCNWLuATqpbdIzAlGpDoj4SVTcXtBjUKq+WVYHdTqpZuyACudfU8AsQm8EfBKpucBTEZFuSZVcXQR8MoVjaXeCY51xBH1T+47yTX2SPCWpssx+I3/RPcTTrDgEKhte7gO6qZfIk5EJ3/EszytKplzadMz8cR9VdUJJn4tFUcQGxvMKbXV8+XNPuwqoJ0KqOeJh3dbP/wC1maxgxsI1HlozztJjyT3OyIOVu5ONQudDohOPq5mEXPirtbhCue3fOxK+KibpVadjP4kS4Xi7Rw+y0aduRdmnd3ZJiRKgRF2/6KAQ36+SLZb3fgyVodVbs/Cizat3HP7KqLqZCcCZ2dWprTLSW/CrCMPwKDCIFuh1QabhlkngkhNpuGH4BCm4fdNDpMotMnxCsNrROiw/HfKszOeqw8olFnirRP8AqymgFrY1lHR36kRFxbpkjFpjejFzv0qM2RwVIDI5zGafNzcst6iCNnJAObGRiSodA2T3k0QNE5r5Oz8QRDi2plqnNf6wR3uoNfDBGjk9j3X+IyRY71niFhu2dxA1RYS5/i2EGOtjZ0TQQ1o8FYb3GdWwhTIw8+6FhG20wRmmiGgSsExbdlMo0Z+L4pRpSHi7UpjLS4zqi2XtdwWFkBOzKectJlYQw7D91ZM3HdCwswbt0JrbWhvBGkDdmdrVGi03ZnMf2WGM/EQUKTRvPdhCmMvAZLCblmchCw25zvELDEHMqMoVjdnw0WGzPx1WGzNWtmYQY1ugUN4KxnBWtmYUA6hWM5Va3PJWM5VYzgrW8FYzlRa06gdVreAUDgrW8OqBw9MNAJ8f5aIECURPVI9AEH2EoO0UqQiQFcOPUandI3lXNIkFAg6K8TCuCxWxMq4LEbn4IGf6Zf3St7M9yk7MlCbVM4ZlAmRnqp2W56qmZYuJBM3KDc4SqhgI5ZgmJCPxQcskYl/kozEciAylszChpbNu5b2ZfCg3ZGXx/wCVkddLtfqqolmSzuOzkQmNtYAg11tMRoVYczHxSmjwQYbuHFNaQACNN6Yz1VpWH6uDrl+yLHFhyErP+moHBQ3h1QOCgcFA4dY8+uY65VwU9TQ3P0MQZePU110+BU9R09FrpnzRcBCyQdN3gYWSkKRMIkBSOKvbxTqgERvKvA7xCL2AxIWIzmCa5rtCrxfbvhU6gIbOpWI26FVfYwlXW5Ek/RF8vpQcjKY/J5cdHwsUbWuSxW3NHMMliAlmeu5Cswx5p1VgnwRIAkrE9YOFpKFUHjpKFWWtMHNOf7ojQ/8AZYojQ6xCxRH1hGqABkmOuErE3xlKNSA8x3UakbtFiG60NVwa05fFCxDHdTCSP5aUx23HFHNx8kHGArnZZJ7i0SribYIzKvdFw0Uuk6ZFAmGRGavO/miUy7OU7u1fBXlpM6Wym3TnoiwH7JwdMsOYGiLzax445hAuuLc+IPgi91tT9SNwFQg7skBJOZiFTk5H4SoCe7baDoZTSIjjUKBypz+YUSL5+dV/dFGC+p+hMPqm/pVP3jD8qedts93P7oaDL4ygMmSNKh+yd3pjSonNltbLOdlVQTflnkiPWTG9BuYkGQ5VwLW/rCdT79o5cvJOZLXww5wnASyG6ORafXC2btExhFXMTsASgw4YFv8AEn900HEeY1hQ7FmMi2E1rgyjs93X7JrCIFoy3qs0vZA4hWuFQvG8IUnDD8J/dYRh367gg03lx5YWCY1zHd8kWbdMjRqFN1gEaOlHV53XTrwTheyOKseXB2XdhMpvDp+WCgx1rBlksM2s02SsM7WerpQpkXaZlYZyzzBP7poIGZT2WsdnluRZN2feWGdzs96s25ndCs185VnzFCnG/fP8tIRbJB4K3MmdVhjLM5K3OZRE71hjLzVg/wDCt1z1QYBGZyRp5iJ1TRG9WNz8Va39kGhunVY2ZhQIjqLAeCwhB0Cw44A+AQEf6IgHX/RwOH/vmSAJ/nzTI6y4zEJrrhKLgApCnirm8VIQIOiuzICY8EDPOEHNJiU58OA4rEbOqNVgnNHRU3XTtfROeGrEbl4iUarQsUTodYlB8kiE99tuWphYnfEZtRfbineES7Fb+g5JjrmynucWO/XH7rFgvBGgCa+XEQpOMY5FfdgmNVedw+KFJa6tA0hGqfhbuB+6NQyMt29MuxKnAQqtQsnwEovIe2dCsR2yI70/ZX1fV5AEynVHtnTKE97hfG4ZeKc6pMDUBZ2eMK+pY05bUKatv1+sIm7DN3xoudOvxwnOfbXz0OSF5qxdlaCmOdNPPVA1Ia4n4tFSHrKufxLbNUichCDje3PUlGWsrGd6M4gF25XE258Vtx9dPBMcC0fzpphnW4XP36Law4tMjXxRGySAdyDQajtncFnboe/mrLmGJCc1xZMZ5SmDUxCIdNTLcrD6vLQKm2LZboE5pvYR4oMdZYfuoLhVHE/4RkNyQBuuPBPa8uHCFTY5uHpkIVjwTEQSjSeTu70rD2w7LzT23tLVh7TXTuz8UaU4mfeCsN4dO6Expa2Fg5EXfFP+UaUucZ1A/ZNa4aulWbd07oQpEBgu7qAfmd8ncsPv7XeWFmCHkZR9lhbrjCs2y6TmnUrido5iCiwFoaTKcwOjMiFhDZzOSNFpuzOaLHXO73gsOYuOfFRlCw2227lht8dVhsiI3ysJnBYbDuQY0GYWGzLJWNiFa267erRddvWGzgrG55a6q1synU9IA/8A2hTG9Wtyy09OQeuRMehImP5WSAgQRl13tVwy8eouA16pEx6AcI9DQ6ap1QCPEx1F2o3wmuuAPU59rm5apxyyUjii+HxuhXNiZVzRnKvbdCLmjUrEZAM71e3PPRYtPPaGSc/uEEQSr2WzOSxGRNw1hNcHCQcliMkCddFc5znWmI8E6qxpgndKxWTrvhYjboTawLZ8YCx2RPzW/VOqsbfPw6rFHArGZDDntaJ1fYJAPehYm1bad0/VVnllMuAVzhW7p7mixZa0hpzEo1j6q1veT3WNlYubm2w4CVc7CY/OXEb0aracjPxWLt2hp3fuqj7Iy3p1YC7wj91j7LjbosU3OBbo2UKrj8O6UKjsNhgZrFNrCG95XHFzbnZKbVJdGWibUeQwkCHKtOE+OCGRa1sSRJWI7Ib7oWI4S3fln5poIrmTq1PJua0ZIvfpI70KoXw9s7pWYLM9Vc6y+fotol+1onF0TOUD+UGN6YI623XPiNUScSJ+FAn1Zu1U3BjrtSq0Wo5vdmcmq5zrRdGxKcSKc6mE0tIBDyckP4MnWVmHuZxzCe25pCudsPjwPmshUaPlKbGHR/VmqXfqjcCFkH1vLJDWhHLn9lSiWHavGqq51KPmiNipl/EEKofWVOBA3IRity2cNNkClLXQLkWwG2hw1jf9024PZLfgVQEvpbOhVroqbB94CE9r3CtsHNoAUetus+CE1rhTo7HdOaNM5kN+MGE5hjJkbYP2R0QpuLKTCO6R+yYHA1MtXSi12M10ZBpCFJwJ2GnOZKw34lwyzzz1QpVQ23KLidUKLwHjL3lwTqdV2LptNhOa82aZahNouaGDLZcSjSccTTNwI+idSc47vPentL2FqDH3h0juwU2k4WbQ2Vguhm13Sf3T2XtjxlBjry8kTbCwnYbGSNlFjrpDonVBhFQunUIgEQVhertn6+Kex1jtqZEJrTMbjrlCFMiNs5IUYDds7OiwdNo6yjTBfdO6EKIFu0clhbIFxy0REiJWGIGZy3rDbELDbteOqFNoM5yiAU5mzA4oNH3VjBGWisZMwrW55KxnBQJn+TuY12qsbw6w1oVrZmFYzLLRYdOZtCIB1CtZwCtblsjLqtbwC2dICa2NTJ9kHAzG5ODRLpIVwkN9GUDJPh6GJnEHx+vpXbZb4T1YhLiANDB63PgtHEwnODRJUjirm8QrhEzkgQdFe2YuEovaDBcFc3ir2zEhXtmLhKD2kwCi4N1KbUJptdIzcnVNu0Hcm1Jk3CAVi04JlYrIBlY1PLPVGq22RxhbkHg6cFiENZvneg7N8nRCq3NB07v5hU01KGg6jomgOaCd6JLRxUy9h8Fc4wYyKFQkMMaru3xxRqOjxuhGo+TDZhPJtlZzS0mP8LEdAEZ5/sml1u0IKxHXgcShUdtN+KclfUN1o0KDnkvzGSZVcXR8spr3uLYOuo4Jr3m140Ke4y0cxVxZifrAlEvDKs8MlLsVonKxMc87BO0HZnwTXVHbVwi7RUw97XbZ1IVMl1s/D3vNVfeUfNEujpO1pEKPWEXmLJQebKMuyIzPiqXd712eqzHaC3UaLK6la47QM5qhGG110mM1UILnhz44KqR6zPaAEf8AhEsNR15yLRatl1SD+WFQM0WTwXw9IjW/9lEu9VyGf8JlvqbRmO99t6yAZltCpmq4mk7JPjZqsb4RpqnNY11Dwn+yLMiQDbiTCpAC6GkTxVUE37B1G5b6k0ibtE1oxKuz5GEGnDYy3aDhmmj1ggHUzI0VKQ7IGI3jRPye11pORUOwotPfn90JxiYMWgIMfYRb8UotLmv9XEpzTsOt03K12xsRtSix8vMfECFFzYKZiZTu/dBjgwDeCrCS6d4H7K18aN0TWPbd+wQnf/LyHzqIUHLPLrFNzcg/LyWEZ76FKC3a0EJtO34zCFKI2zlojS12jrKwRntHMysLam5yLQRCFMCNo5BYLY1OsoNAEZrBaN51lWNuu3rBZM5+Kw25656rBbGUzGWaZTIjUfWUKVMGQE5jXDNYVOCI11WGyCI1VjZlQJJ3rDZM25q2GmyAmtjzOqtadQrW8oVreUK1sRaOq1o3BWtG4KBwUD0JA9KwX3ZosBLTw9IGRPoSE03CfaMdcJT3Q2VOfhCkKRxVzeKubx6sQbUESFc0akLEZltBF7Bqeona13LFZ1F5LZ0goPHksQHJB4DRqhmNI/1ZdHWdE0kiVdrmFiN49Rfr4JrwYzzhXCYnqxWH4liNhGqMvOFiNmFiDPwWKz+37oVGkrGZl5wsXvyO6g6ZyT3WjTeryKrsj3RksUQInMSr82QNRPUypAdMnbiU6qB94WJtPB3CUa3y5xMIGQCqlQtnIaIGQDxCc/atAzhMqRTYBqZTnXMaS2DeB+6uOJWhmYA+qFWQw8WyU2q9xGxkQhUrGneGjRNcXO8LQnTaY4IOOHQPEhYtT1umwVe4OddyXJj6pLCRkR1Me9xZtZkmRGiuqxVdPcJy+i9aJMiLd/FMc8vLbjnTlNc/CoAHvDVHGhgLxN0GE0EASZWfaDtGLdFTLhToG7WBCmpdN2V8eCOLFY4nddkFt4eUXQmXYzC6ZsTbgymbvjg/dS/M3xDup5NztrR4TpY4kZ35DzThDg0vgW5KGksl5zB8E6JeQdHfVPtN+Yk6GU8NnN2zbkqfcCqxewu7sH7rItjcHrZw6kStnEb4gqzaDPh1RaJM3EzkmsZiO2UG7dvDP79WjnC3VDSnsmfJFuzU2d+SLd9pMpuTRknTc0wi10Oy3oItdDwN6cwkjyhNa8cIWG6Pr/rHNqTqNVOcdTjkg4hrRaZhRN8tOZW3vE7XUb/WbJzGStOzluTA7ZlkQEdNFY/CYLcwi0ke718c1bVhu+HfsrKkzHxcUW1PWADvJrXh5MfCB9k1lWWkgSJ3rDfZHzz/AJVj/WZCHFUmloPnkJlPaXN+oP2Vr73OyzaAhSfDQYybCDHjD0yEdWE+xzcs3SjRcS7MZkFPp3FhO7XxTqbr7muiRB6jTkna1EICGgTojTN1wfBiFgkBu3mNE6mTG3vlNZD3unWP2TKbWXeJTadoi4xuQGFTAAJVNtreoUQA0XHLRYTdvM7WqsF0ydITaTW6So8SmsfAG0DxnJBjROuaFKmJyTaTBCwqdtsZLDZllp1FjSQSsGnAEZeawqfBWMzy11QyEItadQsNnKFa2ZtE9VrOULJQOChvALLgi0zIKAAEexawN/mYMj0JzV2nj/Vj7hEHejfNt25Fzt+kahbW3t6IF7t8ZBZn4tAm5vOfwhZ2MdPmneepTN+crW6XEQt7/IIfwYP/ANhNzh12c6Id4b5mCgZ0/qktBRY0mSFY3PJNp5vkalFjCZIRYwmYVrZmFAiNyIBEEIADRWiZhQOCtbyhWiZhAAaD2YUgb/YSJjf6DSHCR6BICaQRI9HfHpa+k2d4jqyVRzmiQFOWakRM5IVCb+7lor2gCXBXNG8IFrtCi9rdSrmouGzDle2YlXgXS7eg9h0KD2nf/KDomGc7vp1uOYz3p9QAHXJYjQBPDNYrfFYm00Aa5ov2XESgYdG0g6RMIvuaDBG0P7rEG1lEJtQOMb0+pb8J0RqwYtJylYwlYu0BGphVHWNmJV+1b4SrpezZztKJc6nLh8f+U1xJcC2IVzsW3daqbyGs2ci7+5WNmIblMKvGGU55mo0gZNlNflTa0AS2U5xcKRIHvYCxnDEB1BA//si+sGv2dNE5zi0EPHfAT5DDnuTCQKVOdWTKuecpzFQBVHvZcZ7oCH/Ev/8Ajb/lVHVA+mARtSn1KjLs5tjQIXYz8/hH+VfUw6BBG0YKvqjGEzbGfgUDULqlrpaG7M8VScSSCTMDZKcHYrM9zv8ACJfZUfd3ScvJC91Z20QLWmFWuhkOjbCN95p4mjZmeKqX2g3SLcy3+6yxXm74AQqc3szMOZxQPq+j7WdwBTBnXl7tlxj7Kn3okw6nOqZk3o7rjJMHNNaMIi6Ded/iqJyPgVliXTO3x0QG1Jq7Qf8A5VKmwl8yYed6pgyKZHcOv9ls4db/AOT/ACvVipkYmmqeETT7uQVYjDKfYalIxOq45ZCpojBdWgas4LdTy+GNENKMtORM5JnfqZb0Za9xtJBAW01zTb8O5Q60bJyf/lZg5A6pwPrctVBJZluTWnZ9XmN6Bnd/JzIGQlZzdG5DTqINzdlFtWHi3VWPuOwCCrXbeWoyQa8FmWjYVr7CI3p+05ue0D1BlSI2cnSnMeS/TOP2TcT4o+ifTe4nSITWvBbMd2EG1AdRbKwnzMjvSjmFgbLBdoix2I12WQhYT7QLh3p/yg1we4yM1Y6+67dCwnWsF2hlCm8fxMpmE9heIuRpkucbtWxonsjDaXGA3WJWGXBsu7rpGULBBvlx2v8ACw8u+6eKwRBzMkzPkrZESsEQ3bds6FYQiLjrMo0Qbto5jNCnDrrjpCdTuc03HJGi03STnqsMSDJ0QpMhok7JVSlk6JkkTnwQpk63BsZgmUGAGc5Vgmc/usNmeSsbcXbyixp1CdTpuiWyjSpn4VYyZtQpUx8AWHT5AgxgnZGawqXI1YdPkCsZnshAACAFa2ZgKBrCgcOtwnZ4jVYZ0LsuCy/mwcD1lwCDgUTA6y6CFA165TTIn2BMCfSLjNrYmE0mM8ipHFSBvQeLi2RKDmmYcFLcs9Vc3mCD2HRwVzZi4JtZjmkzkgQRIKDhtkvED9kHtdIB0TnNbqVi04Bu10WJTtDrsjon1RDHNfleAU17X6FOqMbrwlXNvGfwkwm1mlocd5gK4XFvBGp60Mg6KjWFouJzeRP1WMy6M+9bPim1C6o9tpyTnhpAgkncFUreqls55eSM4jWw+HZxKFVjYGcTF3ihVBfba7WFWcRYADm4Jrw1xYGO3fSVjtuiNTCxxOmUxKcbRKHvHudlshMrBxAjVDKiJGj/APKv27TllKxXbOzmRKxXbOxqYzV7g6HgDKU0kiT/ADB+ZAlNJzHDrZ3np58USbH6rvFwuiEHG4ifhQJOF45oF1zM9SVJDBB1fH7qmHgukr4qpnRC4GlnqEy5wpvv1VWZpi6JcnFzLwHZZfSU+Wtqes3Iw17WlxgowLG4mzJ1/srT6sYki/8AwnD1dXgHhVLduCMgpBIkh2x+67uC1zhBaZnPNUgAyA6VkaLp97d9ZnJCztDpibB91XDbqUn4kWU7nMLobbknQMw6dloLTvTyA/pEtJloTSMYeNKNMkLbeiiO6c0AzCqmyc3QnDarnW6llktkVaEcpTYw2sNzS15zjQqkdjMb08S3pIg7RG5fx6Zg9yFU77XWuIggwotw7aZAk+aY17G0jY7Yc+R5p8m31cetDtP7pnvqpgwQP2RuZUebC4PCE4rNnRpHgqbPU4bxHiqM2SdTmUQ7GY8D4YKDKmBbZnfP7ynsqFx2JioCPJND8ZxtyICIIqXgTlCsdY7ZzL7kbr2Ot0QpuEtDWxPeVNrg6pI1dKqtcbLRo6U1r8VzoEEINqDZytnXegyo3ZEW/unNuH1VrydqNIKa14gTkFhusLZGs/vKey8CU5kwQYIWGdnazBlVYdDN+SgyM8uH8wcwOhWD9+s0mkznKwmLCZ4o0mEzCNJhMwsJmXghSp5ZLCZmI1QY0CAFYw/CrGZbOiFNgMhoTqcluQyVjIi0LDpxFghFrSILQrWRFohWty2QrW57IVrOUI0tuRbGWoQY0NiB1QOCgcPYFwGp9q5rXRI6i4BYjcvOOpzgLfE+yvhhcWx4IOfdFmXHqJtBPBNcTuy6y7Maapzg0SVc0/EFc3igQdCg5p0KOozCvZzDqD2HIOQewmA4K9kxcJTag+JwmT1B7TvWJTO9XtzzQcD/ACA3+CbMZ9bbiDtb0KgjNGqIkI1GhYjZhYrctVe2065LEAgZnJYjYB4prg4SE6obHnSEHjQ8E2q0mEXgGFjN2PmWK3a8FjsgngYWJ8pWKIZHxaLGFsxvhMqh8+CxHS6GHJYpytYTLZCxGtNUxoQsRwuvbCY8lxBbuTnuutDdxKdVcDoO8B906rUGNDRsLFNwAHwXZoViWsyzcJVNznNktgou2qxdmGjPyRe9uHIG1kqb6rp7sSR9k99XEDG25tJ+yxKpktbMGPtqsR+LbIGeXimOfFQ3DvwjUqWVs+6ARkjfiNE6tP7Jr6ppB+IM/DxRqVBT6RtZsiJ8kcQVbb8nMcfKE0vwKTpJnN0aqmZY03T4q+pgGtJkE7P1iEB652Z7oKaXNp1DOeKQnY7WVJdulucraaKW2TL8/qEQ8vr+sdlEfZXFxp3TBpzlx+ioB2G26Z3yi4gghx97BP8AhVQSwwYKPccAXNcHt+kp91MuDSfdk8UBEua8ZtMBMFOabg7X91b+FfOolQ0VKMeKFkS47Yf9fJPALCDwQizo2lu/7J38UN7st/8AKMXjCiS0zCmlbSgiQQq2dJydGVRu7+yqNApNnmkpwm7C0tzhUywvkSTvVWAWHxWXrghtUvomlkgQ65XjZyOR0jRB0C0sMzkt1Yeabm1NJlpg/ZNBLCN8/wCUM5imZjehN4MO0TTI0j/XunIKc4jqKZc1vcOpRY4QbZzzCgxlTjMZKHy6acymh1z9lQ+1mz8WacHnE2NdEA68G34VZUhpsGUyE3Id0Kypa4QO9KcxznHLVkJmJlLQE9ry4aEcFhvwAzKQnNfaIiQZTm1HN0GoTmvLxpEK13qmbMsHGFD3NFoDSx3GU3E+KEL76sRnCaxzXDMQGQjRccWSNoz9lZUc0h7hpuTRV+JwKtfiB0jSEaLzdtjNwdosJ3rZeNvw+ieNptzxstjNuqse4NN0OBO7cmgjfnvWGZfLsnaiFhnZl026ZJjCwHa3ysP1gfdoIWBm71jhOoCNKTm4xdICwRntHMz9VhDOXOMiCsLNpvdksFtlkmJ/8o0GG/N20IKsFzXSZCFBrYguy0zTWhoACwWeOswsMXXSZ81gshwzg65rBpwRnn4o0mFrRnA0zWEySc89c06jDhDJbbGqpsImeOk6LBpZ7KLGkQRkn0hYQ0akJrGj4YQp026NCDGAyGhWMiLQrGcoUNmYEqAdygcAsghA3dbmExtQOCqMvbErT2E+gSBv/kMjj1yr2cwQIPVImOoEGfaOfaE4tkAtn6JrmnIZeGnVkE190+B6y7aaOPokm5rY16pAEyr9tg4g/t1GqIfBEtCa4GOMKRMTmqji0T4gfcwrhDocMlcA0FzgqlTIFjh3h+6DmGYcEHtOhCdXphrjOgQzCFWm4wHLFp2F05BGrTbqUatIGLs8v3QrUyQAddE6vSbqd8aJ1VjdZ8ctEXCJQ6RSIyndu4o122PdB2ciFeMRmbhO5dop/NrGidVa0uyJgSfBYoyhpzEoGQCm1g4tyO0JC7QImx0TBVV+zUDRo1NMtB8E6o51FziIhyxdohzYylNrguAjXRVssMx8SxCRUa5mg0lYmVOG95VKjnMds91yxSCbmxlKbWcSNjXgg97tLVRLiwSr3h9SYgK9+ySBBTHVLHHI5q8ubUaeCZ3Qmvqkuybkm1HXWyNE0uw2k55q599sjRXuIbu4lBzyHeapmd/+t+M8DGfW/unyTboaCMoVzrf+pGo5pdOcBCcXX4U+b2CVJAeZ3omo4utOieXBhM7kS8Wi7vI4oHHPdrC7xp7Z7x/siXXjaPfjwR/i7RyTb3QLz3ArjeNo9+ESbapvOyU3Osf0NVX+H+sL+OB8hRPrmDhMqlIfDpm3jIKqD19LyKPuqzpOTyqzvfmdI36eSbHaX/pCqe8pCeP9lIAqNu/ixqmjEFdlw72UIOe+m541DIH6t6pYZe1zak7Og/yqhbi0pOWa7oP5eI37b08NmtbFuFu4qaZdQ0iCqBb60Ajvn7IloPSvEZfZCwHopEaZ/ZU7NgOuva79+K6RBbrO23+6dZjVeBpcEw2s6Ic5DYOSc0YVrSScQE5KrTc51e2dqmB9ioY6Thv7hB/7JzHllZolww8iRn5IGWgwUGPmiTTfskzw0jJGl63TYcbj5hWQ580S9rswmBza7iWZWtE+SsqSw4btmpP0PBWn1gw3luJOSLdt7sK9rwEJDYt3bk0PHR2ttMhYborCyA4cURUc+g6zSZ+qsqYdVturpH3Tg9z3w3VsOzRF7W+q0y1zEJlwa0HWEKVWWOgSCfrKw6mHUbltE71ZUudEbQzVIOawB0I0qltRuUOOSNNxcwmO7BTWVRAvFo+6qtc4CI1lWOvJkQWwnhzWUwXNyOv0QBcwsBb5hGm4uaSRpmm03g9/Z4IU3XNLnDLwTGFmU5bkacvmcozCwjkL9kLC7wuyKwzdN+5MaWiJlBkFxnVYPd2zksIQRcYVmYMnROZAEF2qDScpdHirBnmc/wDW4YG8xwQETn1ObcIlAZarCEanWVhNMzOaFIAzJRpgkTOSwmQRnmjSZM5/dFoIgo0mOEELCZwWFT4LBp55I0aZ1ahTYDpuhYNLl3ysJmeWuqw2SDGadTY7UI0qZM25oU2AEBuqFNjdAixp1CwqeewM9VhUuRqsZM2hWMOrQrWZ7I+3VACy4ezc2SDJBCAjqBB09Nrw6Y3LBpz3fTLGO1aOudU03AH+akwFc6RO/rc6EcUbx9le2YlA96ToVis4q4TG9MfsNJOqNQbMb0ajQnusbKxDeyd7dFe2JQc0iUarAjUaEazARrmFjMLoQqNJj7Jj4bnJ2yAn1dgkAzp9VcMQajI5LGbLcjB0O5Gu0XbLtkwU/uO8lTrCKQg5jInyWM24DiYCxiGOeW5T/wCFi+sayNRK7SLWmMyJiV2lhawjeJzyQ6SCKcMO2mVbg7LMOhCtLiAzQj90OkNJZGjimVS/Ru8jyhUqrzRY6Ju38PNdo2Zt/ihh+6dWc11UW91gchUqlgdYM4jPSd5XaX4N9oyfaU+rUaK4gS2ncE26BosavbVdY2GOM/RX1TVc0BsC3PwKFVwY7ZF2Lai6qwOmDmA0+avrgVNjdslUnXA7Ydn5Ks+o28gjJsgf91dVdVDQQAad2iZUqOFIZXOLpP6VQm+uPnVV1QF9rvhyEf3V776Lp2Hj91iVNgZy8k+QTn12sbJAdfH0KfiNgYkm06DNXkijLou1QdVw+9MvgeSZeC64+Sdca1t5EtlEu715MO+mqY31lbaKl9lHaPegqXNHSGgnZGX2TAcTK623fxVPJwDiZj6H+ZGIzTW5znAQNwnqqTLSATBWLOjXfZBzpGw7vI3Wuhh72ieS5riGH7ZqSXk2GLUC6KQsdpmhfbT2Dk7NRm4GjOeRVYE0iAFtGq11hi1BrwGnCnaOXmmZDuR4JuK0vbhzJkFQ9pqiwm45JlNzXs2cgyJQa6Kot7xVNhFs0ACN6a2o1jRae8Z4qyphuFn8S7VOa91SbTFhCse5jGFsREnyRpvw64s77jCcCWkRuVjzhAsEN/wFTZUZDbWwPi8ExjrXMc0W5/uj0d9jNL27/DRPbVxA9gb3bYKsrB7Xi0mIKLKpfScbdmZ+qptqNvkDadOqY2oH1HbO1H7Kmyq2G3C0acU2m7Ea82yNSN6FCoGMbc2GHLx81gOioLhm+8eeqNGoTUJc3aZbojSeWUxcNkjdwXZ32ubiDN92idRLnOJcM2W6cU0Pa2C4H6Jrb8cX5F/7Qgwio513e3QsDZcC/Uz9VhS0hzyZ3rCMe8dPHgm04c510kp1G4ul7sxBCbSgtN5kNhYDbYudrIKZTDC4yTOqNIFxMnPXxWC3Cw84hPY14E7kaDS2C52sp1MOcDJTqVtkB0AnQ5oMkODpjxKaxrZ/yrBfdvWCzPXPxWEyZhYNOAI0M6p1MbRAzKbTNwNscdqUKbBoE1rWiAP5rI9GfZAyJHohwJIGo163ODRmpzI4dZeBdkchKa65odx6p1TTImI9B7gxjnHcJTS7OWwqlSy3LV0dQfNV7I0AP3Tc7S7IxpPVIiZVzeYKRMSr23WzmmuyNxbruV7OYK5sTOSvZE3CECHCQUysNq4gbcBOexupRe1upRIAncsXKk7QHVB7CCbhAQcDonPLazQTslqdUbYHB8CUXtGqfU2qZDtneg9hBM6K9ufgnVQGuyOQQzV48U2qC248YWI21xzy1QqNJAzz0TqncImLtUaoE5GBqUaoDotcqr9l0A5b+pzzLCAYlOrNBPgg+XRG6VIcWGDvRqZ6b4Vzi8iMoTXAUxA8FiRMt0EoPMjZif5Foz6rJrmgdRg1W+SJyV8WjTL6IE3nPcnE3tCucMR3ii9+1YNEXZaIVXSf0ysR8N02gr6omeOSFSpD8piFSeXDWc/JYjw9wPCQmVHuDfCbkxzw2hwKDqrgHDig+p6wzk0phrSw/CQq100hOr1tz0iHREZ/RX1XkNGWwD903EsExO9El1Om+e84ZKal1cXaRH1CeXYVaS4EN7pTw/GawVHAFjv7rbD64uJimEwOA6OQ47UAj6KTgAznix//AKTe90nw0+ybmOjgnIt+5T7rK4BOy4QgLa8CYLJT867GnuWn6lOA7P0kbm3W/ZaDJE08Kk6RdiC/z3p4a59UPqWuvy4xuhAt7VUk/wAJv+Uxt3RKZEXMz+x0TpdRdU0LiPO0FEUi2uWvLpZnwncsJjqQLAJycD4qiQW4nPBRNvSQdxZH1lPjCqCNKv7KWdpfPJwTTFPozzMNbDvDJergRe2XEg71RJs2uPlPiv4XShac3EjJVJcHix21TG7U+Kc64zD25cNUJNPMQS1AnDoix2w4buCcHF9cAHMCPomQX3CmRlqU/wB/SyO+VnZWFju/IyTnG+QHZs4LdSta7ZKcxznVhbwI+iGcnAjLfvVjy17RNpZGaYSRmIQD7gQ0tzz4KKoY9obvkfdWP9ZsZObxUP8AU7Pd1VlUMstmCIMqoyq+7ZGYyz0UPxGOt3QnMf6wAAhybNu0iypZYIy0KteCS0NM6p7CWjjxT2m1obuTmVCTp5qKlzTlpmsJ1pGWshWPdN0d2FZUhukgoXSZiN38gOis2LSVZ458VuRZtXXQrMjtFYfzZIU4dM7tEWSQZiFhC0i45lYQum53inMBbbuWCJm52kI0mllplYLY7zvPehSAJIc7PxTWhs+KsBcDwVjdr5tVhNhgk7OiwWXTn5TkmsDbtc0yixmkpzGuidxlYLNvXa1zRosIbrl4qBEBYFLgdZ1RpMN2ueuawmQ7LXVYTJaY00zWGySYzOuabTpt0asKlnsBYdPlCsZEWiFYyItEK1kzaJRa06tCsZEWhQ3gFa3lCy4KBwHoPZfG0Rxjf/oXMBMyR5IAN0/q3P8A5Wo/9lM8/wD8CDHuc0nJCo8gmAmuuE9bnkOA49VN9znCNPRJAEoOrH4PTrPLWgjiE07LSTuWSyUjiqj62Za3ZCZUmkXndqg7pTtCz/sqj3trMAdk7+VESh/MH90qnlRVJrnU+9Eqq22mAOKILGB9x00TtljXfFKdtVmDwTMqzgNFTeWtqu/+6prauw77mVF1d/AJk4DifosQtYzZJle+b8TUGvpvbtZFWetuu3aKA6u5D3TiZyOX3WfZxLoyX8dkNtkJwnpUeA/yqrG06UDmTIdUhze6BCqAtqOc4S0/snU5I9U12QzJWEfyKf3VYyMMHX9graRpWTsjJOomm4OY46qr/wARS/put7tyaLqQAKYywRKey+M1aLYKFLSXEgI0pfdcQU2mBOeZ3oUgGkTqmUrfiJQpQXG45rBFttxQEABPbdvhNZGrifNCmA8vkoUgHF1xzWA2224wjRaWhsnJCi0ODpOSwxffJlPYH6ko0WF12crCGe07PXr7PTJkzPmsCnZZuTabWnf9Uc67cjl/5/54ZExOfs8RkkZz5I1WW3eMK8X2ZzEpjw9shF0OaOPW54aHHggZa13ED9+u/Mw0mDB6sUWPdHddCaZaDxHWSRGU+gSBE7z1XbZbGgT3W25auj0mvlzxHd9BjrmNdxHWCZdlogQQCFJuAty4qZnqeS1pMIZgH0wchcIQdtub1TnG9NJMzx673XloaE10+CyRqdwjQ/6MbZPBQGSdyxM4IKFUGMjmg+d2XFBzRcY3oH1jieCFZswmPu+Eqo4iIGqmKjtncjUAA8U1wcJRdGW9MdAOWr06obCQM0XkfDuzRfpAzRqwB5TmsQust0PV6u5zX68VLsQDwWJ6sujQkJzjmGiY1TXhlKnpJG9Y0hpA+KE6o+ypkAQFnvT3WjSTuCE9oecpw/8AKxqlgcWjMCPMq94fYQMxkhWqWseQ0NMfusV0dI02FL3Po56sJ08k91oEakwEXVGB+UxEK5xpOc14MaFAyWQd0nq28eoWtmG8VUc4NYRlLhP1X/qv/wCP/K6N7r/qd/dOLhWpicjK9ZFXbOy7/AKaZAPgv4XSjJyL028P6NtGHNgjdorq723t5jq7cPDqucynXdvDoH7Iyx1LayJgr+B0vwc+EDLqDN2HP2XrCOkU5MszafMaIu9bTdOzv4b069raOZzqCfqoe6p0kYjoER9Qr3OZ0Yu7rpv+yoX+suJO2bZ4KuNuj+rNVbw2qQ4yMx4QiC7pJFxAwxp5qallrzJZWaJ4p+K+pUDToMtqI8Uy60XRO+FULhebjIcPoEQT0gC90FmiBfa1pefelpO/JU221Ko8lUDi3LiidiQ52VQa7vBf+oOerE1rm0mvDzIOm6JVria+27w+yEjBde4yc/qgJq1GmYgFUABTCqe8pGd6pMAfU81V0Ge/TiqYPrWf/cwhm2iCciE8FoqNuMW3DwUWvpkE7WqInc6+7PqsaL2c2YVOHWje0QrWmi2RoQixpqAbrVSyBHAlVGtxKeSwwXVP2XftmM270zSLpTpxRBiQjS2SJz4pm2ZIGkFQML6qLXEN3tWVjHDwVgLKngUNB7cFzCdgkJ15E279FtHOw6LP1ewck266QwjituAbM7tFD3X7ESg58ThQmdwSFUu2YbOa2/WbHkttthw5yghCYzCN4fcGTkvW29z4s81a+xws+KU/FcTNPKMvBPucB6o+GYyXrWmbbtkAo4l1PKdZ6iKj6dpp58ZUPD2wJ2YUVbXMs+LWV60OfDBDvFWVWikQ0XNbBzRxDZIHenXRFr3YmQzA38ELt6qteQLdQZVlTEc825shOpONFrcgWxH0Vri+90ZAwB4qmx76NAGLYafsnUqnrQ0th6w6l1I3DZbBTqb3tILs7paeCtqRNwuTG23ExnwTadrHBuRzjqDHCoX367oVRheBtRnKsdiX3fDGipssETOaLZc106Kw7W2do5pohoHBGiDftGHahYI9XtO2NFgMuJl2erZy6msAnMmdUKYFuZy0CwWxUEnb1WC2GDPZ0O9NaGz46rDbY5m4z+6ewPiScjKFIB7nyZdqnU202sbt2tkyNUyZdm6PFPYHga6yuzs2tp2YzzWC3ZIc6QNUaTbbZOsp9IOg3OmNQgIEI0GEuzdta5rCALTc7IQsFsOEnMz9UKYDpuccuKcJESVhthwMm7VCi0ODpdI8VhN8Y4blYLiZKwmwBLstEKYD7pMprA2YnNOYHRrksNt929OYHiCsJszn91hMtt3LDbBGefisJuWuWmatzOy+Z3JshokogGPBWiSeKw2QRxWG3LXLxTWBuic1r9Vht8fusNkRCADRARY0mSE4kDISmTGeqw2Z7KsbllosNkzarGZ5IADT+Vmmw6hBjW6Dr1QAAgD+lw8FXhPcIIVwaPp/Wj82lSXNyC7wAAROzFpmUYky2ZQ0/wDwpl5E7KL3RNu70HGB6ZfthsKdbsuqR13HEDfDrbNonX0mPuL8tDHoMNzGuO8JrnFzwd0QiqbrmMJ1IlSOPUXG61uu9C8Oh0RxUg70C06EFXNmLhKubMXBEgaq5sAzror2XW3CUD6yoCcg1p/umHYBLwfFNfNci7ZslCpTOjvFYgdTfDrdc0SGxJWIyJuEIPaTAPVTqAM2z8bx9j1F17iA6IQqNyF+en1TS7tD2zlYD+5VWpkLXfGAeo1aYmXjJYtOQLxJ0RexupRqtFQM8FRre8FR+YfCc5rdSrm23XCOKZUurVBOQaOptRjjAcsWlzhOc1uroVEkszO8/wB1UqBgCxIq5v2S2Vc226ck1zXaFEgCSmva+YKpu9U0uKFSmTF2fBYtOYuRqUxq4IPDcQ3zH7I1SRScDvzQqUyCbtNVjUucJr2P7pRgZlY1LmVzZhY1LLa6nVGt1WJTgG7VNex8wVojWbB1keCxGwDnmsVkTOSbUY4wCnuBtIJ1RqNmE6qxuqqPFp1W72tTuqp3Edl2XKU1ubTI/wC/VrTu3lVPiP8A9CHvDPKEzvt+vV8WY395EC2o7gV/Fb+hZFgn8zqLQaoy+Eq0vBdcBta+SgVMS7cY8lAfUzzhibtYIne5DZFfwP8AhNzcxh0DBlxXwO/+X/KeYqPI3UymtzY6R/36oipmMi7JyMYNZ3BzoXerWu3MH7oaU+GMQh7yv4AJkR0dp0s/dUu/W81oFaBR6O4d42KA8VbngbZ/v1MMdIqg78wnObm3wVsdEa8DaMT5Eqp/xFC3g6fJM2DTDoLfgdv0Tb2lrcnZGx3/AHTMZ1wqhkRuVC51rD/CyPnuQczYOgximkY9T9Df8pr4o9Hnu4hu/wAK5naquc+q3JjhidFNwiw5cET+F6QCc/WIu/EUnE7FhjzT7fxOluIz/wAqW41OCINN3+Oqg6wy4gtucJ4GSjj3SHstn9kxwx620Ph/stl3QgydsAZb7l/6g554P7ynOp9mpi7uuE/RSm2dp6RMZtCbZ2Xo2mTmI2X1mPqEXZ+YUtbX6Od1hGaFpZ06eYqm71tJxOTqWR8V3WvI7org/RBzO0yHDapp0WmeCa9l1A3iMxHBQ3A6SMu8mPGIHOOTqYhUCIeAdHldJ91PAgqWHpNMg/AVDQ10HJtWVTFPELmuJkZlVYw3SJyTHtxZvG00LZ7O/PQn+6Za+rfc2bYyKNp6NYe8IyQtxxMTZmsseuOLEXMwaefdd/ZSwdIzIzYtjAZpsu/yhA6QfFqPdPkqYDujOjWCjUZNIzvQsw6onemGWgom2tLtCFs2+F6Dm42uoCdFplN4B1wjXeEHixn9+CkYdRvjKcRfT8Qi8YdsZhPzuH/0oOF9M8QibcRpnPRU3XNHtSxrtUWNOqsbMptNjO6OrBp8EaNM6hYbJmEKNMRlp1YbBmmUhmSD3lhtuLs5WCy22MlCNNpIKwKd10Zo0aZdcQhSYC45yfFCjTEa5aZrBp56565o0qZiRpoqTPVkOG9ClTBmEylTYZA6hSYDP+VhMDS2MijTYY8EWMLbYyWDSz2dVhsLQLcgmsY2bRE9TadNpkNRpUy64tE9TqbHatBQp0wCA0IMYBFohCnTGjQhTpjRoQYxujR1QM8tdVYzPZGasZyhWMiLQrW8ArWiMhkrW8ArWxECFDYiAobw6obwHVa3gFAmYUDgrW8AoCtbwCtbyhWt4BQMstFa3gFa2IgQsohBrRoB1WM5QrGcoVrYiAgANAjnqoHBQOCAA0HVa3gE5kjKAUGOkSGiOChszCgTMKAoHBQOCgLLry/1mSkcVIUjipHHqnPVBzXTBWXFSOP9XHRWNtbxRA8NUA2XOQ7zfqVaLT+rJARUMcqaBDDcvh83ZpwAuznJYcNbGv8AdMi3L+rX90wmsaPhzVjeCgcFYzlCsZEWq1szCDGjQKxvALDZEWiEWNOoWn/s7l1yOKkKRxUjipHFZKRxUjisuKkcQpHFZKRxUjipHFSEerLry68urLisllxUt4hZcVI4q5vEKRxUjipbxClvEKW8Qrm8Qrm8Qrm8wVzeYK5vMFczmCubzBXs5gr2cwV7OYLEp8wWJT5wsSnzhYtPnCxafOFi0ucLFp84WLT5gsWlzhYtPmCDmu0Pso8UW3VIkxCwG8XfdYDeLvuuzt4u+6wG8zlgDmd91gDmd91TpXCS46rAHM77rAHO5YHzu+6wBzuWB87lgfO77rA+dy7P87/uuz/7jl2f/ceuz/7j12f/AHHLA/3Hrs/+49dn/wBx67P/ALj1gf7j1gf7jlgf7jl2f/ccsD/ccqdG5jHF7pIXZhzuXZxHfcuzjncuzDncuzDncuzt5nLs453LszeZ33XZmczvuuzN5nfdVKNrRDjqP7rs1PLN33XZafF33XZ2cXfddmZxd912an833Q6NTHH7rs1Px+6PRaXj912el4/ddnp+P3XZaXA/ddmpcD912ajwP3VShTDqXzPz+xXZ6fj912el4/ddlo8D912alwP3XZaXA/ddlo8D912al4/ddmpeP3XZKPA/ddmpeP3XZKXj912Wl4/dHo1PPX7qjRY9sme8d/iuzUvH7rs1Px+67JS8fuuy0fH7rs1Lx+67LS8fuuy0vH7rstHgfuuy0eB+67LR4H7rstLx+67LQ4H7qr0amKTyJBjiuzUSBl+67LQ5V2ajwXZaPD912Wjy/uuzUOC7NR5V2ajyLs1DlXZqPKuz0eVdmo8q7NQ5FUoUmhsN+ILs9DkXZ6HIF2ehyBdno8gXZ6P5YXZ6P5YWBQHwNWDQ5GrBpcgWDS5AsKlyBYNLkasOnyBUxFSoPZj3rvJGYTYcPm3rEEkZ5IvAjx3JrrkdCqXcCcYCpnYCYQA4nig8TEGVity4HesVsxnqjUDWuInVE+sbrosRsArEb4/ZAyFcWPPKv4mu5Co0n+yxW+OqDwTCxG/+fQOhVL3VP9I6nP8AWDgMj5lEgaoVG7W63VYozEGYlYrYac4KxGzG+YQqtJHjoU6q1s65anqq90fqHX8FYl2hMZoVhDLtXLGFoNp0lYghpGd2ie+m6nJnX90+qGlwgmBJRtxm6zCNUDODE6o1ReGwc0x4cOqr3qP/AMn+D6ENxjPD/sqJ7/LOz5QsUSMjB0KdVAkwYGpT6wZdkTaJKf76ifP+yZ72t/0/29Do/cd+s9XSPdE7wrad7bDmj71nkep1W2dkmNU6pG4nKVithpGc6LFbDjBy1CxRnkd37plUOJbEEbup+bHDwKpH1bPIdVYujZObRKFr2+C6P7tCGGtlvCp0wWCdSqbS0QqwF1Mnjmme92O7CHrKr50aiLHtjQ5R1VvdnqcJBC6MBhpzojKShV70iCNyxTLQW6quJpOTQABCLjMASsaWg+O/cjUIGYjOE0k6jq/jHxb7Nmr/ADTjAWy5wIBnyU5VcitHB2cRGiZvPEp/dKZ3GrvvOZEJjrXPbmgRhZz3uCyddnnEaQpD2NaP/wBKmR6z9SkYX/X/AJUg1Z+VNMin+uVc26ofAKn3GoBrsQeKpgtLwdwyTHC+mc9OCJGHU81lit8k0MyBbteg/uO8kzuN8gnODQSrPVZu8fqi6adN3AglPIfTeWj/AMoPDzkPMoOGBTEGQW/3VMiav6ld7swcnacMkHWXMc3eT9+qt3R+oddENN8t+I7k/wB9R/6k6GVn3skO8JXcLH2ZWxHBVjdRm06qtbLiLg4DI8UffUyptpGmWmfLWU3ZfRGeywg5eSZrU8Xf4HVV1pf/ACD0J9fm0wWxomSz1TgbfhKp5BrTT2mxn5b0HFhe2wmSSOGaqSb2kH3eXnmpPqTBycZ+xTff1dcw39vQofxB8/V0j3T/ACQtcQ+FUdFSmc9/7qpSLzOI4Zbk6LviDgBnxVzmPa5zTtNzjcUbpZUt+ngnbWKQMiyFUBqUpaMxuTLS6W0449dD3TPLqYL3OcZH7ZKm4sqOZBicimk0iQ5piZBGaDb7zucmvNMWuactCrTUzMjgqgLWsAkwUQ5jr2AkHUKIfiAGDqEZqFsCADOfVV92/wAkzNrfLqpEsuGG7VHEMPGoOngu84uiMozTNm25r8k/Njh4IPeG+7Mrba4PtmRmFado2Tccwg1waRZLZ7pVJpbdlDdw6ne9pnwI9nT0Pn6VTuFN7o63NmM9EB4/6Gp7t/kUNB7Ot3R+oe2q/wAP/wCRvsWuu3ejR1q/q/x7ah3Pqfau7pVH3TfL0DmIWCOZ0cJ9hWysPzey3Kn3B6Vbu/6at7mp+k+lcLrd6BmfA+jW7rf1D21XRn/yN/v7al7ysPEdV0R1DT2VH+J+s+lUO0xs6p1HS3Iz6dDuRwJ9rX93PCPZP7jvJMGw3y6wZ3ddXVnn/pq/uX+XpVJBa4a6fdNba0D0a/db+r21buj9bf7+2pe/rDwH+fbU+9VHzelVDtl7RNu5YzdwM8PT6P8AGPm9rVE03+SYZY0+HsM1Vuw3ZrDrfm/srKv5v7Kyt+b+ytq/mfsrK35n7K2v+YPsiKt7Rf8Asra/5g+yt6R+YPsrekfmD7K2v+YPso6Rzj7KOkc7fsrekc4+yjpPO37KOk87VHSeZq/EczVHSeZq/FczV+K4tX4ri1fiflX4r5F+K+RfivlX4n5F+L+RVT0mwyGwvxfyL8Z8i/F/IvxfyL8X8i/FcGr8X8i/F/IvxfyL8X8i/F/In9o2Jt7wX4v5F+L+RfivkX4v5FHS+Zi/F8WqOl8zVHS+dqjpfM1R0vnaiOl57TUR0vmao6XzNVTtAZtEat/urelc7UB0ne5qjpXM1R0vmaiOl8WqOmczV+L4tX4zixfjOLF+M+RfjfkX4z5F+M+RfiMZ0W3W5r8Z8i/GfIvxvyL8Z8i/GfIh2z5F+M+Rfi/kX4z5F+L+RfjPkX4vixfi/kQ7RiP7s5So6XxYvxfyKOl8zFHSuZqjpfM1R0vmao6VzNUdK5mqOlczVHSudqt6TztVvSudqt6V+Y37Jgr3vAcAd6t6T+YPsrOk/mj7KzpP5o+ys6R+aPssPpH537LD6R+d+yw+kfnfssOv+d+yw63537LDrfnfssOt+b+ywqv5ywqn5xVD3TfY1dB5jrJyTCS0Hr/jDyTpjJMLi0E71PUTlkhoJVwmELpM/T21buf9Q/v7Sr8H6+qfaV/dHzH9/bf+pP6PbD/iHfoHtm5dIf8Ap9tR0eODz7F/eZ59bu6U3ujrHvj5J/dKGywTwUS58oaU5zRZFN5jing5aGBomhpeyNLETDKh8Va0OHtaujf1t/v7Sr/C/X7bpPuH/T+/tv8A1A/Sf8e2/jj9Htj/AMQ39Ptme9qjyPsT7xvkesgHVadbPePTmh2qw28EWNJTxtZtMRuQZIMzHBGm08VY2QUKbQD4prGt09rU1p/qHtKutL9ftukn1D/L2zv+JZ5H2zvfUvI+2f7+l7b+OfFnsf4h8vTo6vPinuLYyQdnB19MkyMva1O/S8/aVdaX6/bdK9w/y9s//iKXtSqnvaPn7at7ykfH2z8q1Pxkexb3n+nR7qqd5ip5kuPeQDnAO8U74p+isMsEnTNQ4kjh4o3bN31RkW6xbqviZmoc5pdOe5SXOZnq2VT+LwPsqnvaPn7SrrR/X7bpXuH+Xtqvv6J8f+/tq2tI/P7bpPdaeB9tV1pH5vYSEKrWl+uvBY7PH7LHp+Kx6fiu0UvFdppeK7RSKp1qbWDNYtIum9YlK67EhCpRBnFy4LEZmcWFi07gTU+iL6ZMirHFYlLQVYEI1KemLlELEp3A4iup6YuSxKQdOINITatJs+sGqxaXOFjUucLFpc4WLS5wsWnzhYlPnCxafOFiU+YLEp8wT3NxaZuGSxGcwV7OYLEp84WJT5wr6fMFiU+cK9nMFezmCxGcwV7OYLEp8wVRzSaW0O//AIWJT5gsSnzhYlPmCxKfOFi0+cLFp84WNS5wsalzhY1LnCxqXOFjUucLGpc4WNS5wq1Sm6k8Bw0WLTA7wWNS5wsWlzhY1LnCxqXOFjUucLFpc4WLS5wsalzhY1LnCxqXOFi0ucLFpc4VVzC6kbhk5YtLnCxqXOFjUucLHo84WNS5wsalzhY9HnCx6POFj0ecLHo84WPR5wsejzhdoo84VWrTLRDhk4LtFHnC7RR5wu0UedY9HnC7TQ5wu00Oddoo867TQ512mhzrtNDnXaaHOu00OddqocyrV6NSk4By7TRjvLtVDmXaqHOu10OZdqocy7XQ5l2uhzLtdHiV2qiu1UfFdpp+K7TT4O+y7Szg77KrVaWZTkQfY0+79T13NmJ66ncd5JjQGAK5gMSslA4KBwUN4IWlWt4K1vBWN5Qi2lvDUG0joGrDZyhYbOULDp8oWHT5QsKnyBYVPkCwqfIFhU+QLBpcgWDS5AnUmYzNkQsGlyBYNLkCwaXIFg0uQLBpcgWDS5AsGlyBYNLkCwaXIFg0uQLBpcgT6VMGlsjv/wCFg0uQLBpcgWDS5AsGlyBYVPkCwaXIFg0uQLCpcgWDS5AsGlyBYVLkCwaXIFg0uQKtSZhPho0QpstGyNFhUuQLCpcgWFS5AsKnyBYNLkCwqXIFhUuQLCpcgWDS5AsGj+W1YNHkCwKPIFVp0xhw0d4f3WDS5AsGlyNWDS5AsKnyBYVLkCwqXIFh0+QLDp8gWFT5AsKnyBYVPkCw6fKFh0+QKvTZhHZCsZyhYbOULDZyhYdPlCw6fKFYzlCsZyhWM5QrGcoVjOUKxnKFYzlCtbyhVGNsdkqVppMMblDeCgcAoHBQOCgcPYVhNJ/km5tHl7Cn3G+XWQJaI66ncKGgRcG1HEjcmy1hMfRBzpgxog9xDTbqi47UDRNMNYOKvydlmFiOkbOoTHEjMb1U71Pz/wAIFubuCD3ZXNiUKrie5vzWLtDTPxQcSdMkwvLnT6R9+3y9pU1pfr/x7ar7tyZ3GfpHtekaN/UPbVvc1PJDQe1d3T5Lo/uW+1IkFUDNJnl6b+6fJNENHl1OmMgm4nAeJ663dHn1BpJfc3Vesstj6qDM2fCswxmwckbwHi2ZQB2DanB0ONupWd4y3Jm/Lend9uRyT2y1Zvt2dM00Sx44kps5Cz6oZuaQ0jimauy3+l/H/wCn2lTvUv1/49tU7hVL3VP9I9nv6uld1v6vbVfdu8lTzps8h7XcV0fuH9R9tQ7pHBxWfVms1n1VZsKsf+YVh1PzSsOr+aVZW/MWHW/NVlb8xOFWWi7Uqyt+Yra/5g+ytr84+ytr84UVuYKOkc4+yivzBfiOIX4ni1fiOLV+I8F+K+VT0n5VPSflV3SeDVPSeDVd0jgFd0jlCu6Vwar+k8gV/SOQK/pHIEH1cQ7AmP8AssTpMe7CxOkflhX1/wAsLEr8gWJX/LCxekflBYnSMtgLFr/lhYtfkCxa35YWLX/LCNSpNOWCZy+yxK8+7CxK/wCWFiV/ywsTpH5YWJ0j8sLF6R+WFf0nkCxOk/lhX9J5Ar+kcgQf0rkar+k8jVf0rkanvr2G5oVJ/SMNkMbFoV/SeRqxOlcjUH9I5GrE6V+W1X9K5GrE6T+WFidK5AsXpX5YWJ0r8sLF6X+UEKnS/wAtqxOlflBV31rNqnARf0n8sK/pf5Tfur+lflt+6v6V+U37q7pXI1X9K/Lb91f0v8tqxOlflNV/Svywr+l/lt+6v6X+W1X9M/LarumcjFf0qM6bVSd0rDZDWRCnpnKxT03lYrumcrPup6ZysU9M4MU9M4MQPS+Vi/GcGL8ZwYvxfyL8V8i/GfIh2r5FRx9oNtyOa/F/IvxfFijpfFijpnMxR0rmao6VPfao6RztVvSedqt6R+YFZ0n80fZWV/zR9lZW/N/ZBlb839lRkOqgmcx6dTQeY63SRkYTLoMmc+t/vaaJgFC8gG/6J1+I3ayKdN7QCmuN5CqvLRlqhMf6Bvvn+XtKoF9H9X+PbVfduVD3NP8ASPa9J9yVuHtXd0+S6N7lv1/v7al72t7bSu4cWg+m/vU/PrJboSFTGvCcuv8Ai/8ASnGGyiLXAtOu5VRl5JkkXcV8LncHT9lU7pPH/Q0/f1fp7Sr36P6v8e2q+7cqHuKfl7XpHuXJvdb5e13Lo/u/+o+2afxTx4e2flXpHiHD0fp1VCbmwJKxK35SxK35KvqHWisWp+UVjVfySsap+S5YrrnerdMaI1nfkOQqQZwD9ljn8pyxt2E5YrRpRP2RrNOtJ2Xgu0Dkd9l2kcjvsu0jkcu0s5Su1M5XfZdrZyuXaqfArtVPgV2qn4rtVHiu10l2qjxXaqPFdro8V2qjxXaqPMqdem2pUJOq7TR5l2qjzLtNHmXaaHOu1UOZdpoc67TR5l2ijzLtNDmXaqHMu00eZPr0i6kbtHLtNDnXaqHMu00OZdqocy7TR5l2qhzLtVDmXaqHFdqocy7VQ5l2uhzLtdDmXa6HMn9KoljgDuVLpFNtNoJ3LtVHiu1UeK7VR4rtVHiu1UeK7VR4rtdHiu10OK7XQ5l2yjxXaqPFdqo8VVr0nUiA5M6VRsZnuC7XQ5l2uiu1UeK7ZQ4rtVHiu10eKHS6PFdso+K7XR4rtdFdso8Su10p3rtVLxVDpDGNfM95dro+K7ZR8fsu10fFDpdI8V2uj4rtlHxXa6Pih0yj4rtdLxXa6Xiu1U+BXa6fArtdLxWNTxw/PRHpdPg77LtdPg5drp8rvsu0t5HfZdrZyO+y7SORy7SORy7R8jl2n/bcj0j/AG3LtH+05Y/+25doM+6cn1JdSNhEP/vl6f8AE/6esuAEoGQD1s79REwJWKNbTHH0MRsOPBD0C9oMIFp06oCgKAtm4BQFA4KBwUBWt4Kg1t1Uxv8A8q1vBWt4K1vBWt4K1vBWt4K1vAKxvKFa3gFa3grW8AqrRjUMt6tbwVjOCsZwCtbwVreCtbwVreCtbwUN4K1vAK1vBWt4K1vBVWtwqmXwqg0YLFa3goHBQOCgcFA4KBwUDgoHBWt4K1vBWM4KxnBVmMwnZKi1uDTy+EKxnKFa3gFa3grW8Fa3goHBQOCgcFAUDgoHBQOCyXRhBrD5lkslA4LJZexqZdIpH6e26R7ongQf39Me8f5Dre4EO2hpkPFDQddP4/1Kpm6mPFVDA0yRL7gBGic94mTEfurnEho4SpIpPPiU55mAd3CViu2MsygXw8SJCoTht8kTFbT4UyL6j9FiPtv3cEXOLiG7li7Ld0/snl9gmNR/dSbwDE2rEqQ4wMir5MN1iUxxdPnHXQ/ifq9pV99R8/bVfdP/AElUPdN+v9/a1fdP8lQ9yzy9tSyq1R5e26QM6TuDh7aqJpP/AEn02d5/n1vZLSPQp936lPZdHEaJwqOgQFBxJjcix8P0zUVA64AaQrX4RbGqIeHXAa6oipewx5qHTUy10VMEMAI3LaxCbN0KwuL7hEiFDyzDt+qza92UymgtaAW+J81Y4U2iPiGXgs8WbT3Vnh1dk5komHAWnJu5UyIyHXQ0f+r2lT3tHz/x7Z/cd5Kh7seZ/v7Wp7t/6Suj+5b9fbN/4p/6fbdK919fbblms+KzWa2uKzWEc/WFYLvzHLCf+aVhVPzSsKr+aVhVfzVh1vzVhVt1VYdf81YfSPzf2VnSI96Psrek/mD7K3pX5g+yjpPO37L8TzN+y/FczV+K5mr8XxavxXFq/E/Kp6V8qnpPyq7pPBqv6TwarukcAruk8rV+IuLhGYQPSBOy1XdJ5QrukcoTcdmjAruk8gV/SOQK/pPIFf0nkCv6TyBX9I5AsTpH5YV/SOQK/pPIFf0nkCxOkcgTjXLmmwZLE6RyBX9I5AsTpHIFf0nlCxOkcgV/SuUK7pHIFd0ngEXdJ5QrulcGonpPAKek/Kp6TwC/FEHu6JuO0QAFPSfBT0n5Vd0nwV/SOAQd0nwV3SMsgp6V4K/pM90K7pXAK/pPKFd0rLZCDuk8oV3Sd7Qm9paIDQrulcAi/pXIFd0rlCu6VyhXdK5QrulcoU9K4NV3SuVqu6VyhT0rgED0rgED0vg1T0vg1W9Jvvhswp6XwavxfBqnpfBq/F/IvxfBi/F/IvxfyL8Z8i/F/IvxfyL8V8i/F8WL8XxYn0+kvBBcyFb0rmYo6VzMUdK5mKOlc7Fb0rnarekz7wK3pEd8KzpP5gVvSfzB9lZ0j80fZWdJ/NH2VnSPzR9lh9I/N/ZWV/zP+aLf/wDj0MxkhMCf+aqF9f8AkHP/ALtiYz/5F3XBptEn/lvAj/3A3/0f/8QALRAAAgIBAwIEBgMBAQEAAAAAAREAITFBUWEQcSCBkfEwobHB0fBQYOFAcID/2gAIAQEAAT8h67RQ46jrfW+msK6n+ka/82nQ4i6a/CVRR9D8aioGr/oo2DCTVLKjwnKPRIa5EGqPiCKQYIhHGQOEGQfhLpfwq+Lj+VXRtpyoD64C64DSOCDXkNjAGvywa5TnjhMAYA5AGPQidEqOOOPq/A445jSLAFafBXgHXToutfxCiiiiMUURjR5xR+kBdUG5nMnI6/8AFBxwbLpDVgbyDnggANEAIK0zsEcccccf/QMSL8YS+j6DEXTNTv01gzETpAYUZ8oX0t+4wcPrOeOeOeO1ONOJOATt+s5OhOSOeOUTsTtTtTtTlE7c5ROQThTjzix9s7HgkTqF5k5U5jO5O/O/O/OEzhPXPiQBgrTFsHRxxxxxx/xAnFBdACzfgfQ9dIAtZfQAiAzMyAIJlM00e8AcB0cccccccccccccccccccccccccf9K7yAPwNOjj26mb1HHir+x+UCPgPEEXQxw7mEIicCB4Ex9SGtUICSK6AIlLCqX9b+oKKKKLr5yt4905RONON4nD4gJi5rNM9C9olAAIB6UTvVCAspngRJCnJMQRizmKgUA2gKPmS7cf0dwJUGuhc/wBZ+gz3CP8A0zvkkPxzMwWNtowGjYiyHtmm+TogmAkL64/SAjolvCDknzhnC3gMdBmLP0lif7rLl8JB4+nicuPaKLpkiWpFs9CrM4r40AtDhzejK+meww0OzEEbz/f6Q/mY/goQObvDGgsjESSwQ9J2+ECY7HvA6hZgirhDzJwCZHU8molXZX7QCOgmfKF4rUTh3h6mKEcIR8COZbuq+kaTOp+kRX6iZDZ9FzWD3gn3j9fCQwRuIQiHh8ouYOtdHOEwXGqgMSyKG8EInQDrAkcCUX1hVkodYqhyB9YFPkfOMTwAen9IBHnLXbHLcIEvJo1FQWIKA93nezNN3ZgJ1LiZo03ypQAZrFahSkah90JgIDn6xRRXnvEClC/zUtTpQAZXyIuw47bSoSCPS4OwNL1uYZs/VGTn9ELsqei+3hEUP0/CDBBCociXRlgIdGIT04hgjFSmBmgsYAAKiAethXpfiH6H0MFdx/R3EIHpGMNBHaA1DzhAkXZzAIFXcQn/ACEJ1GYWxBsoNa7Rtq4FEELguwk3ZDULW47kA/8AXX0CxNzSNFT8Iiw+ItS3FcIvTWDQKHWk+a3pBYAd/WAhFgrjQR5DJvzgBAlkIyO49JY7GfmJ9X+ov/hEr748IThZUFyGwBeoYIHkRfLtAAfhF6or0/Kc2EDFRWz5RQ2P7H23fh5U7wICA52T/cOaC8IAWdIJRFnH9xE79PBahfcHjP8AaxLjY8F/ozAAAAx/DayTKGc0BYfiDab8YxZmdOcg8GsoMGAV4FWQYMDr1pMkYMDgH8CpoZfzGUmECHeS6PQ/wXn0jwBH8NZIvkQYB4Aqcy2MYLNARaiO+a5U0hmBVCZfAsy9FoqeTgS0M+U1AEITagHqMQh5MEGwor3QyYgNCCKCPQlAn5v1hhQOM6wHbBORzDI80KkUPWBUaDM5oRcN/tHJB9iHeEDyoMQ5Yp/KFJCB2hEkxSljgOAhvDZIniGdpQdkIoDj5BwUYzDl87/gvJo/xWWAu1FcZQgPBv5Ync8CIJj42QKzKEKUIh+8Z/MLN6YhYDo1/wAhgPtLzIJAmbuUfsIIOKdVCj2IaABEaRyhYUDufrCt8mLirvZMuEDKNLdiIJlZ+szVDorKLSDRogrSYUy2No+8IWgQWNWDDOJUEHp3lu7jWEKNi/mY+FLS7N0wf3Q/guYC/ivkIzHaEx35RDkMoSqXu5WlUQaE0yoWYEJSzAREOYqmQEAWhmEmHQkzE4EALhCTDgV6eBxEOm4EAjhCXIQl0RDacLrW0YcOlbSvGDCc5s/ghOHi/iq/knAagCAH/W1bAf7x5TX9cHiQn/r1jgO38GItYCa/BPwyICz0QEDeFTnDwMUoRgiAKjHSyMFRiMRiMQXGISGqCx0YMsTgDeAmD0JIjB42IgiNkmRuYjALPaDNHxCBlcEIE7XzgIliAZMGuQA3mDC2xEYSY+5/9esQePp/BeknrBB1iSfrCkVYjivKPQFjoLi0OBuHQGkKwj2cIAVQGNCVcGkGGfFlARMgmAiAiaoOmwpDGbBSiIcpAcoja41Eio/EgxO+EMMkDoOjLbUhViAkRjSLSgaamE0oI/lQyWdUehbY3xgkOCbhYg9k/piJKdkqFPaDSONUCSk2L0hrblTdTWAAIENioMtRjUWCw2mKJO/SXZGb0gwQoY6WTAhknfiAi/2ZeUHJrZ+sqA2L5QAyzR6QGwG67AKMe4gLqJz2AEHKABoSvqn9IGr8Y/4zAYNxAR/gRndZYYHkQEjoECwOJhP6FxRbZecxWzAThePUwTOEKDMIOkJXdEnBbgpEAFWsWGj+INADoGJygYLwSMowwW5TioR4KxRFQIUGFLhJQIahXgeM71/k0qgRbGZxUAclNwWDDcHg0TMaSbUBliIZGBFjYgkEstzKCOYChAcCDFCVzJh8shKN3CVkAERUMsdABYCAYQBRbB0qPq4/+5c5/iACjAARYlAOqOI1HHHABHRiMRxiJAralRiJDk0DmiQwIEGEMGWJ3CE4QgCLEUhCkdpYQhrHKMPohCDITKBMsGHMMYTfaBABxM2YahIzGjmOICPZAY9FfOJyZGm8r4FLnECUSwY7wmHfPyCBD+q/hV7n6P4hwoBg1BHHnKCUDEpJv54SZ5AZQjgRfYzKm75CPWQFjeEksv14jZko/PM11QQ1mwPWVF6Eu0nd5CcwgCuwx5G28rBJZgh/kAmRgRZoQCK2yBAcGG/IiEu70kqCfzCWTlIARVrJ7AyxxV4gMihOdZe2Tf5RpNPkUyJ5XiINxQG3mRAQnBAGNSPeazHqHEFCYGTVtoow/IVOASiGgWFcLe30JZk0C+xcIOQo9DA0H1UAK4BHO5/hW719f4hQgIzu+s7/AKzv+s7/AKzv+s7vrO/6zv8ArOP5zj+c4/n0VgMcGcececGcecWcacKLYJW3hcfRxxxxxx9H/Edlv7zw8f7uI1O4f94p8v8AvHZBf945AL+Fx4DmGEgBwFwRAFF/0wf8B+qPrFK1hm8tCCJlUBEge0AE5w+sBtMgecPogECG7EI7d0utnox0SgWgOMk1hxLNYFGWAowYLOOqACiDXQzB7wqFkwUAWAB79oEMODkw7fYi8LNuKCsifWfT+mD/AIP2W8Bxt8pgrSAH0IhCoYMKQGS59YSpIBc1SGAGFQBmS5bNYK9BGARol+hgAU95gAjMeAhb0uCNMtYcTewtBw0RmpGDqTX6KIXiPKggI+s0c3XBwuxULEoDqoVJYN8wIR5SgGzUj8v64PQTH9Fv++r4zAIDv+gKC4a8YIwPhqBGWE4swEEAyoCDK6VDowAz5QgQO8IGLOJUMgXiEKAZgAh9KcYgIiaGZU3LMyhpCEgKzCCLu8svYDgqAoMwFhwnI0SMthwn5xCkoiiyo4zBgIBJG8yIhkwWILxQkQmrA9YS2EL5gDqIG+J+ymG0iO4xuIyBkn5ziBKPeAM7oYcoTYP/AGAyFQoQ5NVMW4MQlBzRYKOQdYAYgwzGNAYlHcHAXXR+UBwTCgrIALvCUHCGewqEldhjmUkFYVKRxoHeAaBbSh7+MOI/oNwpKCSMA8xjF4dyERkWZBHaUEYgZ5MBqQB6vKgA6X3zCwBsgPJjY9HyChCcMRvmaMlnc6SlAG24iFQBJ+SVOEL2hkAn9XMV6D5gyh5MAhO7c7QhKiFiEZodYeUL/PvEFAB43iHRCkraAR2PcIUVRG5lpmEvIgOlygEZ8IpqBIZEIWGcyPkmYYAfJFuNY4YIItWLhZARsQ6B4c1zyc3rCijWDViArIwHlzCI7Nlrg/mAMOMA3aGBsposw47OEas0M+qCxiQ0GHaPLCuSFZrizQBWMPmBAC2AFa8bRr/aO0NtA6tCam+SYWqhOTAa7wQmf5gQmimBOsBUDtAX8TciElVSfVKoZPzhJkIHhIdhDmOo4EoJhtQyT6wjymFGCCFKADyzE02bNTn7oAABAhLAMd434BfCZaXBiAP+wgUKCAKwAdlNtSQCRBg4b5kIkRHUQhgCEQQYA7EQU4UnnAwC+9AomQgTvFiRQgbAUxYAfRAJBEDAp7FAbAQHlwQKU+ylW0QlbwvW21RLIyPr0xcjBEGG8LygIVrhkNnGlmGhYLKmonhscJ9oBOB0ZroqKqEuQGlFVAICKSO0oAOeW8AMDYReHCtX39YS3felizOppKQMAGQohBMcQljEJjDYuME7LmIiblxKOYBOsAICZiRhCI4IAyDBBBUBqYFoJUJByihHUFjeUYA6A7NBcMfhA1h6OOOMRIkO5OUQzJUwVuVGQAAC84ZBW/KafctoMRNCDLBiWD2CXRiEPNRgCLDEaCLKEwWtojaK0QRlLi+k/ONAAw/+xiDJxiN81G7FEgA4MIDMqbhU3UBck4AZMQhZaEeRgytQRmEnaFAWmUOgNiTgzUA10flDkCUYlazIL1YyIEWAdM8wjCWUMRjMGgwAtnAOKUI7y7dYm+IhKhvgEDL1hdhKJWo68wMXBJ6TGJChYDMuiMHmTpEHCd0QIYNz9LDhQAIh7wKG9YMw8xL2i8JAyBACGrDCKHIPUBwBEta3GkcyKChkE6GFpYpbp8xgs0jzz0h5ocC2GYL/AESKWZyXLVW8pUWB34gE2PyhBgoX9xQIEAEJbfmCQkRttG9ZIRmNXpRuWOJ0UEZlBacMVKZvR3pLIoxoUeeIcQAieFzLQYhaeYCNmCYEhxnJ1A7wawRBb7RlTGBXIg0JK1sQhoAkGGgOjg2GUmw2lMCIuH8kxdKgNlDZAKbkRtCQmjPuCFA1AOeCghcrxijl/aAM9RvcGFsj4BmeOBqgqks/8iYxrCGGIyypgiB3gRUvaEGCSDP0AYFA26UZvyoj6hcAbBgqyIBAQ6C/68IgGs4mCXgi9gILLpJpMVSt36TAhBGqKKxc0D0jLlnWxhy1hjR4hbYDJHBgqUZahpAWTuBBhnh6TU0BR8lLQCgZmuzkXFwCkWULJrGBcrSlAE/WN3FyWwMEY1hmZACFZCj0TEWDvSgVI4wI3h78hmXQ0auXGCdga2mkB2Nf0Th502qXgkI7gwCCWBgPnEI4UQjhJt5hrN8M/KYzBkg8NDFcaBCYaDBNpEDBKXJgEH+BgIFlI4aQArgHaMzGx2lBlCbuECVklAAAvtQmuHzZmoDYRuL1CUNMIhMQTYYlACoF+c0y94R0AiZ6XmbbYuE+jCnBxCdMaCERohK15RA0RPbphpWIAGh9IhtMlJW3Vx9D4BeXw8/wJh+ioJHv0IiAdej6DStCo/A444QEYwwRmJvLk4NZNQhAJCMJylQhMCgEQYymqXL05Swb/KER8oRByqOt4MWP6zvNIA+Zj0S3e6iLFneXag3xUMO6aCi7KEAyzETxBgCyRRB23EI0bj6whdCZeBxHbmneruIBaXXvAlp5RnMOlwEAJ5viAK8gTqI1NsaQTgHJTaCkAOxXYxA0iCvLSGK6CDM9fyMLxaKbgRTNHGRRYnKjz3gYFKhID0uOWuaBKkgMQXFBL5/1lCDTCUJF0404E4HRDKgoauepAGcdVacItYAIYPRtHRx3vo+gOc7LoPCRRCAT1jhkMA+I+gIMMXIhJJZDkoRsnHgNfZONk5YnNQDmQMBwSlQFBKreKBAlGYAKJ7xgO2cw6mLjBRWVD5yxqgmA9t4HlNyNO8AkwJrIDmflVlE5wfYoQgiGFkK1AS22UgRyCkhMqGUdpg5lqdkStdoVEQAZlryDUIWFDZADYFpvBWFiFM6LcLOUBWs0FvMa6O1zCASZddoFaGpAzQ55iH1jxAYhcKLFAviA2bJOWpeJQsdrjUV5f8gsf9JIS0RwfpBIFV9UXckh+UByCAkHPSI8Igj1hdQhx2gPovsTDj9mEQRD0GHCIMCdKGbDQELyhDLeiU2akMFk2hgQilYlqIhBA+aqFF5KAAR4QdkIdNBSd5jiWL1iQayM7zDWIAFEL1bRiR7ivOZ40Ani4uZIW8r8Q8edIL66Iesz2UcqAEDejnmKOBKNT4OAFE1WwUBFPVpthUAlBgh0LX4gwCZMzTgYlZNM02lYjUtVgixyDBqfpB88vtDCkY+rCXWDoJtcES7q6kR5qYUODFSF+BiN3rIIjQv8i30gGMD5YQGLgNsjBA7KlcJbw2v9uLvbPQuIRhBHaGTq5n8ZWMP67WHCxs+cXXTFtBV4QR6wFI9VKoA41Lg1ZIPzGoiLLeBZrkebg5tNLyhAEPA9FDaRiIcAJQMFw1SokoHsWJVInioQMBUkNYcUAAC64UIbWWzMChKVCTnyDHzdXygGRBiXlp8I/wAG1XBMEYA2EVZ2JgEC6gpSsO05QTesWTZRLOiABmjyaJtAxNrSECyPeE9xyuOLIeHlMc6Euo3mgVtKbmOAWzTcpExNCoBsOQiKfU9K28Ljjjjjjjjjjg0DQQfSOPo4/jEpaP8Aph/kz/WF/wA6i6qHRGh0X85bLVdQRAC+YOkrRHaMjCjxmChKC95jrZqZA8QCyBhE5YQOEKiRFpaAVQQodS85YMCjxKEY5qDKJQwAiSmhsJmAE0EIUwVTOzhAtXaOCGFRRMZaljZy5zQVu5UwUhs1jSDKBO65ERqs12KheNAACzSQgonN26j5Wm9IQjB0KdZi3N98VHI0f5x6YALPEYIIUZCAgJAgUb0hEMkMADycZAAvNQCoso8jSNVZgrQZiOIF8ByyM7gbHJ4mEnUPBxguwa1PnATZL6kDOWpWjDiyBymF6G8QE+B00MAYOgLZEgLvAlX9LCwmiXNwvNDsqsOpfjQU0hA0j/gQoKgLE1JAB2raIo2Dz6x7IAmftAE5AG6ywVMNlk9htShiZyrz/MnEcFHJ6lTS9jePUBQDB6d47vOF0doQCSIhWxhGKpg4cIoiGw8sQUscw4BagqDZZzMg2ChKbA0E9wofAkQflpDQTAt5iNR6nybxOjKH5JgLIFAwpBFgoVArGDvLZlle8AWV5eQ4wkmgA6oHEYmIQcMkbGDLajMCZgJDi6u1KB5EkGVbwScGz8y4SOPKa5h0Y413Az0D0oz69Sg3ZqqUDMgB16XCR4qNcKVIBSQyILA6JRtKARyoNIMhFNxCgkIPpDhsYES0rjfckJmYDuzescXbQRsIomRQkKicClFSujlY2M2W0oTOpuaz5p5OYWnnnyiIsl5CAZTE1eJpldzAIkwU0TBOfMPMJ7xaRaTekYawOjycEAQPbQTarMeMYB66he3gqNe3RfxIRkqMRMdbiHjMByDwrophqA28n4CgOHv4GBgcxjCmOiCCCwZQG6BxhpwwOBqEupveEBsIlNZHCBgLeEQEKOscAnIf76xakPEBABRQHmENhGrhz5iXEmpZ+TgMkeUrUD6m0tu3QGAt6naAftQA+DLmfv5ErDuNHtARLbIwUxpH4CGYFlQFsOpWNhiQ1AaaGNFFJKAWdZVGYhBtBBgADB0Jh3wNioYoP5hWNJArpcuedsQG8Pegz8hiDYDsAAakwEwVCek2tE7mXKVJI2BXA3jubIsdFCR2BAE7OM6pXc6IBaKoPBexitRUguHSBtjpHzRySgI/OCs4MAAAX1NtI+xZgsVpADBFm8OATGuMICURbR4AADN8gK4TzIuA0QgAkBwo3FrJ+0FQMDStw3ATHOYBViPJww+TnN8n7ZROEBHpCgdYr5uAj+HNXogAOjLXVxjwC5SKBlFyGVx5OZQpr7TUE5A9alWBJscmBhYQ2WYXjQ3eMCFw/nxCBc1GvzgFxSEeBrFIUdIM1ur0fWJnwy9YauqjyOGACcAPKEnkGp7lADKEl/pBIw2FS7uJQYd+koQSYg0qBQmHbFZwoBlBECDUA8UgQBY2MsJgNRy0CMRRjQoFwhgiGkrhQ1lgbgL8SpLTGQ42QlCsQEknU8jD9Uu1QC9YW2cw2S2ssQGoiOLxP2QxFal8AQjPg8zBcsVZAy4gA5doO28QgRpBIJflAkzD8cEsBVltBNSGqzUxSjOxf5g/7kk/EdiRNIaD8ysAa+VwA33BA40NpV695oFlAqFDJAB5EtAU7Qa8gL7RsHwHeJgEACO0MwUYPrWrlLKRaDAMcZiL+VL8YBQ/MSR2DhQIAqCowSzTgw4V9R22gED2X9EfsD2hQ2Yapv2W9XvAEAQTrGAtwBMmLXpiYDak3zBwasL1gEXghJqW5YWRzKgFwpol7/w6NccwDAAwL6KESgnOYJObDs4iMk3iB0AjmC5XVCe2wrHQBBAE81FXAwIQPMF0QiG3jOiWSMbjid1AEDJDHhIBRJRHgEAYERFNPEGIwDd+gcGGjgIODARvNavTU4RkoQHKAOe/TRnKBWQIhC/gOAwAnRy5K2vOAqHbONXwHcJgSRlGCggPeFEMo+aqWxAgNht+0O6C5Wk2rGZVGBJSGVCAH2pSBOgtYDkdpq62FRxANTTiAD3ApYqF6gg72l2w7/yFGR2m+dZ6EiMOkaPOIPACgySooJ2R+UAgNoXECXWYG0BjrCDQCAXmYIDAPOsAMKKdxGW1zgGysgVYg5ogakijGPPeWdLoUQcQnEI1kb76zBQY+dxgBvQV8Q4vAYtso46wVj8wUOmB7U5jSyXHIEfkEWtc3GFXIgpz7oPzlNABAkdBW2Y1xkDfaH7AQItG/okDfEqxWy8QPdQ5Q+nJZ8kapqKCbIrXxAbUGqtMxxJEFiZyV+8bjzhwS7tl/q599w2VzE41iJsWcywGaGAYreayatRAmugx/pwSLgMuz8kF0dw0XnMTrYK7GAigjvBQfODUh1Gsxo/AgEUka7xlCk9xMIq1wWS1JhobmDTjB2jlQkjyCqJsxhFBGy4cUtwbA2DzBACfadkIpgAVo1GZKocXmrYxyGZtsMQTkRdMIa2UYahjl3SpASoaBKGAZNjlVCRaGIFIgALPZEWFgQ6WeogPV8NTzDBBALIw5QNWv/cv+ErZMK4gpRkdCCRmDPJSy7Q2AWFvHG20haMDA2hU0G6CAIDJ60Jb0mjIhBhExaOYZmSiFChtoGJQGFBdsxaHzG4FlSi8OaBgnCU9bB0e8A/rUINERimGqTaj5QjVLfnEwHNZRrElxeLyvMoJYxcAxRYAE9omtyhSATTZxAuyMuYcBP8Akz6mamroLEvUNlAAAgKgKYEe0DSFvUAAgCnAJW3UoMplDq+pOJlhgOoZpLNjwtQYxwQx4CIp2moEAY+JgSlEDsfMx6oCxuUNiWJHtCHT6yhon0J05hiKBKp3RiGUFwEGBAg7ilws910KABRfrLTBQO9oC8gxUTIN1zDICS4H/rqc9WZZgmWsAC6B8u8IfMvPoCoyEHglBIgOi0JAzBhAacBSLxmrg9AS9IzVNQMamEIO99QiKvBYgAAdtFUVMi0bFrzFDkAylUwI3i42YD1KiiShvBky1Avk4TIjEE8nQpgAB8F1C5YKA+Y7RACWZuIkLRn3ad4IY7GspVDWU+04+D6wqPWF0FiI46G1GPohmIt75SuAuxgS4TRBRrZw7UsU7owcSLjWphAXIEo8ADrdHDb03nTiYiGD6QSG+eDxv0rh2DHFECsFkBhAXVwWleTSHwgAkgAt6R0zs7BjEIMgJaiKfMATWp3i00E7Mx0aKgElCoJm1ihKQ1hoy2ofOEk2IWzgPAFcHcG5fPQaIpCRoOMPTZdGAFkl7kUBtHjIALWoEk26/XOYqkpN2WsWoEFuy07QSPqEiqEY5AC05m5JCydZRDDsYQFM2CQBo6iF0hzQfELFWEflGCFD9eIMIbFBk95YR0IrcIwQDRX9HQpsIB4rEe9BPyQhCC1UhmSEAUIJAICsCCQzJvzhQtbCOg4uQyIPeYMzK94QAxa6mACMMOIMX/1gBYCOh3gckLAzp0M6BMx0zQqFQogsZSmglQbSJG8fBg0MyISlTABjtNYym68oZZRSL4o6qaZtYHqOXJDNRTPKNdcARoUrhSi8cQwqnK5QAoEY6mFU0MPd5hJvgGzwAoHNOARWCYA8zgCtvjUP8yykU3T3leNouxX4lwmc1vzcPhrAqwtO0b6/RbTIfgG4AgA4c186vpL/ANE4aPGBhQKRgpJLfIMD6wEiRqIU660UIIwYrZ6RA0GJ0lQycDkxOEnZGxMXMoImDhSncQHDSVLnqCEgSrgEsCF5DaRvUdpqkzLLc5QBGd9oXMAsBNnEAvqUpDAmL16AwsYMyUhYDSwnWX5z9qcAAAUMQuCEkYlIFALHeFag1XTNqcRUCFYhLkDCY36UWxCjReacWg6uOOOPo4RJJ1Pgcf8AGuDcH5+DMLoRMbGof1EEf9Z0CwEaYWDPGYGAS8zAPMJMqlVXDhAiweoZYQVIMbmWdkf1cKtig+QMIhaF5wFAIXWrVRgyIHjt+ZkBJQJ9ZVcguW0gTtthQ0UtiJrzgAZMfzB0/kUbdHeD1ieaZGkA7Wc6KLRcACFiaQaTgGgdkQARtAqAAQ4Q95npeYtaGKxE0XvMMjygAFCvhIbEKDAOhFF4rDBAyOh6BJ2DgxRdErZ4FmAWpFFFFGOROKKKLoCMD1UXQjB1m76PcINgGwLO5UQA4BVzTHLSExBwtojCSCPnMKzE+YMYiOIaQwYCFA2nCiYQCfWcugAISBeWsOkQLIW/iCRGG2nCx1wuaRRlgyBLgJKUDhsTIA0N4bgIC3EQ+Wc6VBHzENGZ0hfZAIMwqM7GHqkAHp9o2bEx7ShbSUIQCpgZH0hRirfMaYmZVw2j2gtjBmFzhYBHsj3hdXmOJBk+ampxBuDFieU8pzN8L6S0EiHkYuGvBBsFpGxSeQT+IoinIGzFgyQBJZ3qF9gRiBdnBlLQjJbQMrYjAAH3iTgCkgZdwYpYSzu9o36mYFGMGHgQQZEgNbmXAR34gpSIaNxCDcGqXqHylRIEsCbomDsRYHHIWREOrxcGCQDBR0L85dBgNNdIpiwT2JgWioCQsjtlS2kC8RB4awC2gAw99YRBu5ti9+IZpLUGa1h20zZoQd0hQuS3nvM1wmEixFCyKytHUAQoglBBLXYwgHJKAixGkRtAGmsBWcF2jfIIBLEwIO5fow0Hh84gtAI5B3z3hXAlXJNKZvt8i4/g7EoAHJxppGwiH5pm3ZEchivOAcw4xUqNkXFcCGSCpV4ll2yLIg4gCK4npB87407w1HxXooThxcHhwIieRNDtDM0sj0/hzY7CAMrNFqYRIEhFYnlDzCgLNzK9yixgxGPmThRdcQJxCAByLhJkS+YART6jMVICoCKYK9G5hwAQuwbQc71FlOW9DvC1SGIwuAeI4sO4S6Co6kbQGAq5lSvnhJQgUoRO/tAOjDT5g06ArtDRhrBcuASvjZtw6UT4G9m46gAYONplLlGJoy1WkH07acQ3oq/oj6rRViEoSonTOENmeEYBAs2DFJQkMmkNxjWEnpgHaBylO4CAQpuFLIVAB7TVOEzlbxIpYLwY0zi+4ChUgDDFicJgZEyWVGiVhi0eS1Zso94AIbhZifQ5MpUmIgY0F5bQmAgYCHaIlRipYTlLxKBuOZi0uJg0cVCfdlmsxOAGwm4W6uW0PeAWAEqIbQAFMgTSOTIkYLBYj3COPq/G/hX/AN7mB8AOVp5QZicQFgHfoEAg2VFEoGcnqRD1KaidE/gAIRoeLnQXEC0WJwIUGAeIUaoP0S2BZvE2nZeYDlD1IAJIAzcvWAGnFRgCovIjcQIsoPdDQMnJQK1TB60LcxdqN4YMN61cFEuRRlSeGIEob1CoBnEBsVcaQAUiO6EGSMAT5withklcgOL5JBECmyDn0EK4RRgLBhBmMiGsYec7yJS7zc8F5HOkts6JQfBQZFUEHH6lK9VClpba/wCAgQYkDWWsQpXfMH0mFPAA3JjgZTWdX+IRSrVv1i2UIzg1jgwgKi9IQKgKS6A7CV4iZKYEAxgPJ4zBFF47dHa/jmBo/tDGLs6mDvAgeSihSErvEMmmGnfaWFJIxzGQyE+e8GOf0c1YAzdLtO4gEwABnCDa9YuEDWGlLWDrDhIANYv0m2JBhAzvkuxSjNkAHVwbIM2dRgRgdlttNUAi0xgkVZQQAzSMniGXnocF6Qj4AigxXmhANoAqCIEoRsowg6QQr0fQR2tn5oas33oo74gVAIWo9ZUCX0DLmWaGAGtFyiGlEmWBDIwuCaoiBrCdTQxtgE4LEAMgAAEobqLxlHcGGsAElineVzEZiFu0ogofAq7hEJDaAQyLrtBVB8NgD+YYveh2zU1EBoBsw1SsSMlnKEAxoqXaAOgKEDUqE0QB5ctiAo+P0FBHENxWDAxbp2MQJO4ICiqAUrcvUOCmqY4zUNc9ZSCMAtFF2NZfisKMeW8I6Ap6KM4CcwrSAHI2t1D6LZ5jUMNto6BKhogCPIuBySkQDh/mMAUVue8JMougMcsG/oRDHpYKdQlYvZLhRlDYsaO4XQUBo/kLJkFgjSUgXqznopYIbgVCQJHLbtygjUWbMZlt3GRoWYAYmtWYFwFizCUEqTIlSAhOJIMwCwbISAjuoLFCdwAIEHIUR5aUbgGxEJgLgKpWFAxWI+1mazPSFjSEYBkAWBbQYeHaohtL2j3U4EQ26uPozMGjv0fw8okWOh1WSmgHUBijuxap9CoF4gh8JisnmhDkTWx0GVwBPpLsgEYLlQEHBBixgk0O+CYyGo+cBwAIdnODlZ1gYkBEcrPaGQNAOhzCMouazr0IoE8RuAzykecDCqD0MrMx8AwgDQZgOCosupj/AJ1/3gy6iA3NxgEgX00j5pIY2jxwCCjMmG15zLv0NQhsLrTedkJTR7QmLTVVwBX18Zh9CBOWBHpCUjodxNdAgSzrAfWQxzBBCSn6QHYArA8witqXczUxsK8zRQbzVCPILIMMaODOQagdxBSA2R1lQVXUawm7FIQMPSPJVTSkACCC86d4nogL07QMAiSIzsQPvApqpu+UKUIuybpwkBg7u5Qw5oAA6EDS2IiCAUAMNQmEEhTQnEMkQkzLjQYYl0wH3i6Y0ELws5d2gIx4O8CPqMyfIOB680KNh4hJ6FmtSH5imoLXDGvKLAkEQB21wmbYAmIY9YugtAKG6gBlo0Jw+kIiEBDsWD5M3ZRJwyA5VzasrOmIQYqHcMECK1IQd2gKCXhfvJgF1ocDXGcNWUg4gIeJWnx5wzakQ3aB6RmUGwWBGsIeEIZZAzZgxAwRDbZuKQWIpPJhNAQQ/eXEiDy4ROqaFYHybwcADKEhA0GiXJ0Bhij6xSg+32MDyb9JWmcStdUPI6fNswZijcZv8QKKqm0HMI2Nj66gCKDbxHSMlYccowjgCBGeKpcFLKMJZtiE4h2VxCGLIxHtjR0CAOCA1BbpQo8l2md2BJEKIk+B/wC9iBk3GRiWehVgxoLiTTWAwAd/wQrmwyjzAJaJggsVWsGKSwAPKVD02G7gZCxFhA8BXSjEBEJMkWDAOAZwNIdfiC9G4eUAIz1MDQoZGsI4CJZHXeBwGiIOosQrls1OsVC9ydUXD4ATgQTrvD35L0SzBiNTAa/2ZSTk4GAIO0WZxRiZROdawaFLAjQovpC/uUCpcwfbqQXmZo3BIty4MCrdLFxoGh8lQABAOqBhYjPSgIpbaBbcsuY4wDT6SDRYnyYDgwuyw1MJFqyAFoSCfpDgAcQfeWRQUgqE+OlQvN8pdrSNf1wCGsiQLGvtO55pvFgqrcqo5mAQMYJcFCM54HpDllD73LDd2NTzicO1AHqCjW4ALplbTSEzg5NJuJublyxAACkQG42wYfVCSw2X5zy/DhNhJN5ReYDYEiEfxDBIxOohcCJ1AlikTYUYnXiofWYrhCRA95WqtlAAIAAQMACIbDoZwOQ1Vwiac5mHRx+EgAyUIOqRoyh/AkZRDqQAZjlqYjRHGelRrPSlHGfiCYY/ctMprwGodAGkA4KsHBfRhrVOIR1/IPrr0ztDEnZdCQIENYaEUY4zYMFbHCHtcA2DASO80/wdwTBb7ggldSG9A8wXkdQaPaBBxpOtFGohZRjZoAM3gQTxNyhgBGIOjEkFcrbebz6JRhxLw+HvCkwQgvkmt1MiitjChahYxD2jZqAGyh3gNlJ7xoIqIWvQoIAwqFgwoyUBS0VHIgJccAWrgg0E6DNeSkKa84LRSHAQthTqoGqpyqtRh4SRkUiohLbCEk7I7FQAyKtrA7TC+Nm/XaHmjQesNkLCGQMYKngzQpwhFFtF4gCxItFsR2UCrV3YhwgGWGWDzDeuP1wYlQPMAxRUVoTMlAMB1rCjlUI1qEycTdyjWyqhDLGBApwYwCQWMaQlMABDiB6TPuYUJQLSUNBEy2R2R8/+3gu8wadTR+UBQ5G9YbwI0Y5UAJBAilkqAhtb6iZIRddokVX0ykLDTKdxBWuFrjDhamNQS4wIQBolByUR+QjwFJs7IR0wAeUAyK84yY0oRm07KcdsuLgsklszu4aPYQlvYJ84MiCwItgpyknsdjaALWi21i44TysitYgBvVgygjvGcXuf8iPICcTG3gAHICidoMu3sgdx5wRVoatBF5ShBooUBOQN8T7HcPkcICwyei9ecKOcztYgtSBguAgKJ1K9lecIzBZx9fnATb+tyssQxe0ruiENQVq2hNABYoCjgZiCgTMZLgnCgUQz/pHbdkScbHHcRFD/AFQBi/Q0YywQRwANEFcAvU9jzhMMkizFJGEEMoFP3TL4lK6sw+sJDYLHpe+8fcA7aQgCOkWHlBzEnZp6cx7UEQ2sQyyDlYUih86VGC0YDSICL59ZUKNoFJUZkSAM8wQq3C7CCZJyBscIigYzTgpRtwgKocGbzdZleEFyvaOfQE6DSBZBA24hPmgCbuAAVUF0QdArMoEkBZgAMWEv1jQW8IT3gg2tRYhtTIjMAgdiMBXWLhI7xpamATSJKGoAlVM7dsCEuD22mtQfS3AIuQSY4HJWZinuQFyrMyL2/wC0cyPZGCYv5dAlIgDtEo0xvPtYTjIkRgu2UmS4bLMLUslCZuF1skbB94fsRgC8BizEgIqLyW4SADSWLOYT8peTmGyWMI2YGEWGocRz36hzCUC3cNzbsECziIblizGG25mAgAZczSOl5RGkosOUhlOmYbtYLGkAAAZAQK0hQbWGIeZ5pcAAJIAgAQCsn1gANAHmIbCVtFx08vC5TECARsUT9JviTqTky40ZokHuPGSEm6PeWjqN2UfLxnGZAFQ6EB2BrWUoQ9Dn+VAQ7CIGi+TrQWSUICC7DEAiLYiWo+xMuzNGHO4OZZHYMwDIW2mSOoB4e8GQwStpqZEJTWVXyUN3Foa5rEcslDJVCP2ysoNQWWsCBxAkktrBqB9gwyWYFxEOoHMSrBptymRd2kygCpNjAx0NFiLkVrhpIV6AkNMa1hizGjoQyKAMICtOLhChZcApqVhusoo1ZZaWNIC5BRjNiFJpVN6XcH4NAEad+8xMmLsmyOVERZNmryCXXjsFoxLS1trLf0hYCF7QBnsRhA7KVlVDxCccXU3Y8aVCOqIDLI2S28kSJ9yalYIGGdTFnqRTNbHESC6ZCe4TMfOwBhWCJh6QYb3OwRQ8GsRcaUKI0NUOZZi0F+UHVwYbdy+kuWuiqR+kKQUFgEOBesqoHQdhwtYHQxGvYQ1s5RusQACWPKH6MEQwc2flBUDYS0MBJCknjReUJr9K8MQGzxIm9xwIsIm7gi3lD9UZ8O9pVj+SuaNYLyA/tBhQh79D1FADaDD54gvWEFO4CoZhWQb0yIHirWyBcOFiA1rQFgxBTeJAbsRM6J7w28lUIAQCAx5wtKXmsahBZVzh95qUOhveagUIJbXBIx82GWFBKjwlBCFh1vtMV01hQkwDYMIGoMVHsIs0USZe2JAhLZ3UNbMiw1Ag2CyrPaAYQSTeSgTJd93+pb8ZuznCLWPlV9IEZshFTYhOtkE0ES67RtyyxyCqtI9s4f8AiFV2BOhQDf8AosBoYGAUIYb7wX7SCoNPmlsrSrAH8I9qfRc88wQ3mvVBJ9YS3vFNRjA0eaDJINaTHzzCyQYPM0Zw4FiWLL3ARBbQma3YAWtS2HUVGhdRkEmylQgCEB0rA955Gq2IBBjHQYJLPrHly24pxVdEANJvGvJVMm4NGswRRCgGZVjskQ+xkAiiqMqTTmgJHMzx0g4/KHSDJOSTMaF0CF6Qlx1DbO8p5ksmADhIWzDsVosnEBCrOo2YfBtAQs1KUg/iXF/DMHXogpiOAggEGuoAsA4z8ElBmAARg+Bwt3VMG5QCdej8+pQDRkVvBDsA+mhkgNQg2Noc+DAEYvKFEKWC2DN7K7Xr0PSr7dyPtCIWu2KMNOA1BbuWL5kByQxkQjEwo/mB83DMyoDafmZTjKN4JhAJi2DKNwUC4KMA6iGKcBC7IQshgp+UcLCD7CNMwTIBBefZ5gS6gdofIKxkYzcGEYPm4SB6lPyhlFozTQmosT8kCShXxN+iDIIRuGQMYkoSA35wHSCHBWYohH5lMR2SsU5QBuBOO0JGwuZtEWgJdoU6EKeedAUGIcGK26IMAhFFZYg9yQdxHKHAXUQrrNAQcTXdwukVAPlDpQ6jIhQyYMiTt8Vf8bhSgKQCn9RgG0i8oxEghojBhpWRO7WW0PFoClvDgigc1tFwJDWOIcWTh553hXLgrWKhvggbnAQG+YRQECjFNeUpp2AwjcKT5gMODD2IWUdYeYKUQhFIXcQeoVSGEgUYwcdOrIAcKNIysa7QjrkArs4UK1pmajMk7e7sYZspBCWGIeB+QByoWC/ckOEGrsWjeoMYwFpkBv3jIQCw97hXMAzpHIQPx4hfapuyCQy7oZsOk3s1MJQJ2w8jygTEYECSbBAdxstURcpZQbQSAKYwSB3h6ZdHOUZL4UYFBTFbwe7QJKVb1oXYJChw0d0NiggcBcICPlhGpRqHQJAQJF06Do0JUSCUBwiCBSo4c+cMIPxBglqUouIIsgTmtjMEDa16DRxEhttK9l6QhYBwtN6FBolHfIvgiJhmQbEiGPJ1HUpepGlE6IbwmBb6CGWgwCEsMQhNYG4sY9ICNcNMdVVQpJVZBFjmOIt3QnRHAFBOj4CABBIAKwfxAUnPYx4ZvgmJlqcjFtqgCQagKEilcKjdlqGyiAAA7YAxAJsqAOQAAMr3mS420iRKwAA8FwNAwlixDpwkTgwLOvuhYkMtTxNJpSawoO0e/wBI0lEyDy4wSbKC24S3fSoFxwP4ACSAKinYMwEGS6qkAKAlneFIgZJYhMsMTrCRCJsAF2gEzwHkg38tk0mM0hNTEjA5hPgQVTfLM9ILGQYOoUJABIWDfRGyJB9kpBJJMkwlPOEAqsbE+cO8oAEKss6jdQ8QNrIJhB4MAlgdpmagFuIjKtfKgIqqBBAraAQUAbTNgNDJwoR0cmkCRiqYkkjZmAIBMUTd4BukImsRLUghZoRxI2EE9xrLCbiEa0leswFU5/NLWfOArgZEDYiEoUxgKAQQEO0tJtOaEIIgoxrPZpQwJW0cNh4P4ECAAAQGkcZjjj6OOPo/A5biSZKDF+UfR/BB/wCJ/wBJL0HiyGEv+BFkvy/sDBJDsZ/qFv8A4L+Dq/EGg8/8Nvxvj+RX8kWVkX0S/wDEgcg1rt/6cEf40/xwL0X/AGgABAL/AID4A1YR9fhlAM/0u3/wMs18dfzy6Gg4rIbSssIJaKKCeBChdYIooooZFgCHA1Dz59FFF0rDEJ2MW+SoEiAJEnzhRMiU1E4XrBarVOTnEWDA+iG8R7gnKXbCwhVgfA3+EuT/ANAARjK8/wAgSJxKp4huAAZUziCOjhfnGFyO1GalsnzDLZZHzhFupc1IOvMocRjkmbmSJ4CtP9gEZJsI/KelOuWUHL6+sAdiL99ILJoFS0MjuILNUcoR3CQQBKdjWL9Gh2gaZqvgQxryU+dwQt8MXgPQ1CFAShA1B/vYBCBCy1ALuIRa0eZf8CCDoz/sB/tz9of4owEHH8eS7EqBeVMwkcyuJgA6QkyglMHGAKlZqEuIxsc0PiI3TYzQGZAH21gFi2DppcuxoRMWQuo0CRGNktIHTSXleyXbog6aQlkEwdYGzQWc94JwHgKbCOQ1AUdoTgCjA8vqTDrZbvCUVNnm44WIwzTjnhGRRWP4wAv4+pQ/h87/AMSYCwGF/S7Y/vit/wBoCIYPh09RrX4QhA6jIBGBgxR0i3L6IPDZfmXbTIviAQlv8utlDVgcwa5OLqJIQKNCQD9+mc0Q/IqUXgPr0UMKbFVpcUXSxFQO8UAnNMcy5FXa4uiiilkwwD3YfUsBgOVQkFRdCAFQVHcKGQoioRuSQ8sAIGhR6DOyBMPnBF0Ut9C0VlQrmCUoUmAUAR59CIDUBI8pWQBBDqWgIPOYESwwKIPEJDJEOgQxHcOZlf8ADlsaW5jLcMfiAGBFMcxhWMCY1RliPJBDF46kwWOQwii0wGLmzOTAoMJKB2xK4h51BgEqCIRwAGWkEW+ACYMBRvEeu4a1DzhKAJBpqoJwAGwElGDAdzNGugYIjJRbXiFZATn5iftgBUeGouSlxBi8CyoQXRb7xcBY5qLzAAGEtwwVuGJICR7QKO87nSmRRhigVkTK+e7Fbl/uryDuYlAQ/pvDgAM5w07hjKWEss36Q52kAZAFg8wtzC8oIr59CRGTCmmYTShBQF5Pr/xDqUvyIOVNx2Eb9lVC1ByMB9YGSyEbOwqZLbIKGoCigtMDCEUmYoGdfagBHgEQhHVgliMjnP1QjIgzJFMptCq99ZsaUs6K9CvoUw0Kd6FiA2hwpwWQGogMB1BfiCqQsi04hTkVbaGV3F4NCGDu4IhIx1QWUCtpgh+sETAgXERDwFwye9EYinKlRQIqI1i6B5QqwV94cWOUgxliFFw70X2lRujAKY1j9bAUIboGBMglaNyozdrUJQgVAtTg2gOSFMaKbRhiRAnETLxfcVGDhEgRpiZsb68wQRkhWnyS5NDAJagQN3zBgRpZN8JvdgxbpzCoAwdjWxAEAIdm5J1/yAQja+ZfaEhYQD63DgFsRWDO10PWMBGyf35ROIsF2wxEwnwWsroBNzzsECXBZtvAZQCBawgXC++FMoMXMAEciwJnICLjWXJ8cHsCwQvvF1BAEaqhJSoiAFMkwro+zaAF4jaj25lX6EcMGZE0UyPtCCsDSmYwpCrEsMyXHEb2WBoi7ywKi9RsNIb4EoQwFAAEErMgAZETwIARhuBbhawtAaMVgwog8uwVjW4DSoKKThJ2nnToIcxgStJOOYVQSLYWCXExFj0FKAglCwRg5yAH9AbzGJYeZHBiAdhalKwmcB1rFBJ1jF2VkONkW9YJiQ4FbmhAh6lnYLZCMVZyVZBIx6QRoCQQ8kylsIqgGyPOHKwMEgEMARvwSzZkkejgYAZZ3l9ABQEAoDB4ufK7DPVDhZuXtBdecqHUCQ2A+0stoA+0LVQ0YZyYS/TXzriEleJ5F8TzmqobamZ9jOLApTT62e+0yx9fSCEJJJkckpfaE94WvqlbCQW4gLLNVbQIMSIwJEvmaebLg4JBABGahJoVBgaTgEQBS2Ry+8KqRYdSW3CZAAjExzAACEU0KCneBj5UZGD7S0FGssbhBpxS4wwtsZqXdqBzHSMBMX5ud+6ahDmaXidsKEGORuH3WamXI2MIqWLtm6nvXEA0F0sojPZi7Haa8aiScbc98lG3lnRuCIcQLMLERZVAEIXlABArK4BN2LQkS15ZcCAC4AknVm0J31g4BAQSsDBhKXNoAMABZUJSwXmWkjwM0Q5cWvPMHoEP+Rx/EfwipJGeTDBNh6kAERUXkBsP6Tr8Ykr/ADA0C7wdIsCRyNIRgLOqMGx/xsXx/U9figQBtAoKCtRCjYFmsKFBdoDPMBY9CpwEAQFY8Ltf30kAP/lb/h7fH9aVks4x/Pj+gEnQPHiv4DDUrwZ/hcf09Oj8JfxbvgOcwA0K2YMdSGKgwHGGnfgURrwJfaAwDAADV9CAgOziLpgARIvtFCwCg40gpLHReA7iBbqWik4fRAfWCMC8w3GRUMtJp3hCUQZ06HpijI4EIRghhVwUgB8498sLgOvgO4CoIdnALJCEZArJu5Q7BD/KAH/iB1sPEZhxQGh8oxQUPRCmpBONp/KDqbocwFG8KBeu0NgSRlce8IYIa5jTlE837QRiqKW9G/WAvA/MCM50w7wEMwPMD0qxZG8GNrjTeHEMV6d4Zh3H7RCJkX2ET1QbeXaop3IjglvoiIlPymLXKFwdrJk8QN9oNhNkhesPHqdaysl9YFJEUb4hERAZMQLx5Z7zjtZiXD0D6QIqZKHJh8gIgo+cZCysKFPQQGkX3gQAvQgOQMgYjxJWYQCRASg1oM9oRCZshjymw2V0zfR4f0hEgWBmcSzCQBJwICcUGmgduAK5TzisQysDQhQtg3dGBsJoolU4TRHDxFAFgixAClxrPxD+aaXYQW8wxeV7ZpDQhT4s9JprSs/RABLoJ5z1gIHU9+hCdwIoPpGwTarwgJpagoAyPd5wAAICOMPYmFEVgyPVAcZKhwGogUkQDnneCji0DoHFSxSPVABnZcn+QP0w7QTMCvnF5HsLJbvoLQjTMvYwaJn5pAsjU5OqYtoN2sQg7lekZmwFbgBUSgYEfeFFWggHi4Ad2pdFSWAwASs8dDK4pyhKWSyTJHHMRIhA9cmUOqxtqmhjKaADV5Rnkx0a0agFGOjkyp68yP4RIBAaib1ZMzMf6w+aZws284DpAM+yEisBA7gEJSxbjzMEA9gE6HtlGs7bqCOsAPVFGBZwIEZ9BbWH5wdNLS90RQwhPkhOLJ2BUZUrp5P9SoAK4mwc33hDeK/zGLhVTk+7uOGskukgQmklhTlvBHEL+nF0MjSwYlYhRYZPycPMghI5RhAkwzG8HXAHlFD5QHDOW+6ggyGY4rP1iqiEOxufs2oRQFg+cGo5ANAY+JyDFb8wMcaO0uxqXNmoCQwLOztAcAFz7wjl0GyDGBYa+RZgBgqr1hAkpfEE5RELOZTbI9LQroVeagsPKAgAQBCAxpD5iYE1wY4sKAcAIg9oUEnAyDwYEQTG5gEkwsQ7UMeHkGdh0Vg2q6K3hhgcofeXkgcMI6QwVwYBAA+aHsZRKTyk0xcGUiO/ReN34FCErmKUa5iyQshZj6lxS173mESWuVsgChUhbCz0BtTViyflDRZCKJrO0fkATZmGKzyYiWkJQFjmAPcMnMDGT3MADcloUUd0qOxtdlwb6yMYfhmb5uLe6ThRb+nboowW3ZG4M4BmzmWAYIFlwIIUwJtNEYTiGgNpSnUXQIABGOO0Zy3dEdRvAgQOazEnwO8xKpY0mBdLGkuBOw6AdADPkZ89qzLSc/Eu0DxAEICpY0gGACGFYmTW4nyCKpUpDRTFWsSjRntUQSUDHdupph7qXtHvMh+VtGFqWO7dT2yEidWKxCewbOIAtXZqErDbFAAoC2iBJYQiB0gDjO8Sg6mahIBKGAsRkgM6QABAMHSXgq4AEoLgdAHbohDFioMo8orzjQSJhITMF7zTD3ljQe8z0vMfonAItg6AAYEWwRDaYmc9K26VK+LfS/C9whGUj2cIMkSxI9pwow0w4AYJ21lYKgJYCUNFAQQwX/2WeB/UckQtYIwyxQj3MPOGD9IIJKXmecL9BnyIDYghWZ2AveAh8AEbYQGZ+khxFEb2CUCCZP8A2l6f8gC8ZAOf5UCRBZEQFAkOfe4BtAHPaJpBDSBhD3hMkIJlJGbNTnw1FYBWIAAAAQH9tUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUXRRdF4FVmVKlbyt49wlbyt5wJYnpmEOj1nC9ZwPWPcJwvWcL1j2J79OBHuEB9HrOBOFOQTArMqPcJW8rePcJUrcR7hGNxHsR7hHsT3qPanD9Z7tOF6zj+sV+ae9T3qe7T3ae6T3Se+T3qe+RH5p7/AD3+e5z3Ge6z3We6z3nqjO6HYiPj84jvFyZ3ocNNa57s6kZ7x0QYxrsZHp677sIzE35YBH54sxu/nxJC35YAH5In+k/WY/8AtMPvQuX8yavrTFfMmv6s/SYaL5sNT9eVoATc93lgZ+f3ee5wB/LCd6vM9aeZ77KwOmkAxAMdXncJ+wfuOgM/1HP5hiLxdOXH4gJfWhO9/KEkki3Ln8zi9SfqKe6P3SAP5EJvyIFwCiCxxI7PqfusJi16kDAbO790gFj1HH4npm6e/P3WZwrHd+6zWXrQA/ImkFXL90n7ynD60Qt60LTmU5aFAI8eU/eU/Sc4vWn7Sn6yicD1J7gnvCe4Juj1J70iNQZBbSA4fG6foJnP9TOX6p+oo7/c/cTOF6mWY+s/WTCO/rM4c4EMIBQexjtM3IDR6rL7LNleUBrBvKezz2ee1z2ae2wQoIMFdx4MeIS5eAhsWVMITbVCkAjkhA1SThqgAY3sGGjcSs8Zk0IzcFHuIR7XCngRowFOTEEowhPNTEcexvQqLfqV/kzwolSo12s4ABGJdybgFnBKhDA4B81BIB223U+iGv3eEoP8y4ZRK2PwF6Up+hXReV30CCWULu9xpAU0Cg6iYKyge5UvvhTv7xCAoloE/ohxgQwMDp+/36ZCOsBuoPlQmAWkEhDaAgZWCbDmPeIYDaICgVagNIwkrNBf4miW1spoAp9EAYkYIwcfmMYBCKIOQc+IqgwY+cVWKAx4IDZZA0C4BYYjRZhykCcaAv8AEHuiP1So+S9fA/c79KB6C9RG4PdFhBMGCjM39noIhoWiqAqDMA2j3N6DiXQB7wTsynPCEIWUXQeW+lGHk44GYRDDNEoAXdkHyqEWGCPMCE4WFknMY5aJR4lalSEBZFbZxBBdAGkZTvbTjI6DZsQfQwYEAcGRAOTLlcGDiATobPDiI4jLgqGLgCClGoxAMsrMAAAAaEEmgWRlvV6waaCD0BQ9g+nwykMUgM7QpVA2SQqAGBj2O0BcDklQD5wO0+TnykBx0KFK4IhXIJB84Uycx5toxnn1lPOEBiDTrRHD3I40AUYZAORxAM2Q1iCycsNJk1Ixs58tDBtfsjIChtxcYuqMkCVUa9zXpCaGn1xYgQNjz8GuKtAX61QrNJrHOtcnGuziOwhkCCLWQ0hviRBAvITUMOsUlGF3xwIA30aFA1CDZCUEG2JgdOGAc/qejU5nQe4mGAYgoCyaagGC3wRQgAphiGKGBLjbRSArPMIh9FAdBQh4Bpg1uDL0xayDID1iRMmYMGoi0MLpL+pg+BCbFxg3DOSKJLpAIxMOylYZQg8BNuUE9iwYYQTP2g4IekiVcuusFBjX2DphAEkkkHeYIkTAI2glBKyBMAoA0UCOYIAgkDzKTAQpoimSBIIC217zNmxahwDIa2GVpFlCwRCPl03E9EnpHAMk0MwJJ9lbwowRANRaMARgQABa1rHCdAGCIbhshnzgSFhgD708RnMHmHMMURgIK+gMXOE1uEOI3EWCgp51GLOGAPkcIsrAASkINBlIKgrDcSgkkBZEW35CwEC1AGoQBtSOOgrefcfDdvPxwEHgdcUjMRJZY/AHwtfLD4f7/fxsNQhq9fFiX6P4DpxLQdQfAJhcPo+No7D+fR/D+QhPon0AELBgHqblPgF2Y/OoCw0fgnKesv18X1Zp/wApqBp4Rr9HA1vB4TXiJj4eW3w6cg9YYQQWzMAkwmBSY+FgHiyEFLvygrEQAc58WkybF8/i5dwvQ/CNE5RUCiliwRiimJKiiiiiii6KKKKKLoouii6AYui6b0g9cTWIgWdzF4A9B4kooooouin63b8BRRdF0bvn59C6LqvAuile++oHiecCJ3EERlE8RHhUUBA2h/PoovCui6oXOcwAfFcuLeIGIsIQdGwSONHD6KCFASfRD07S/wASVbDoe0Q0fSif7MLfsxQqdNPunHPQZi+2NceqHb9UsFYCjdmNjXz9F7PV/k1Q6V6jLG8rz24hh+9w4KDAYwQ0ntbww13B7Wd4QWodEU+GNX2Ybl6cN/0e8wHDUZJHGFPZ4sZGlus3dDTtEf0YmGFUUK78u/XWL9P4hDUiAArP3tO0/P8Ayfo/8j2+r/Jr+6AksCOCtfWO1es/iPb6z+IToHr/AMjXHrP4mm/35Tc+v8Tt9Zgrd/OYb/Od4wU3RX2J3QZDC2cuflBqS7oH+B1VaIn/AAYf8+e3xX4Z7NPaoJTAzDTPTVsQqkvk4c8KOD1VAmDu45HpBrkHaF5IXpXwTr3+t1ICIhUZPU3wwYmUfMMSGDhAZKhIGYRyhqoRDoauEINZmgk4cfRxxxxxxxxxzF+tITHHHHHHH0cc+i+nQ2ARuBq44/gn+ro8AoKPwPo4+g9T6F0fhccfhpy/VPjfiBnmQfX41f0C/goQfqoehInEFdia9LcMmj8QhswQAaGEA45wix94I9Y04EeQBsKZDMN+UMGOq9qgXCisfGwPw8+z9D8b9jhD8QTHN8aGi7l8j8YgOQvjGv3hHwbj5OoFBUAAADA638uBkDEtB0cxsIgskKiFYQLBG4QZ+YwkQxiAhVky4xSzk/Fxv0Bh+H8n+h+Hr1R8ZEpx8L+Aa7D8IBDPgNdoj4wr9hH4IviH5+K3xPMpoDMqHrgJv4wQh2bO0UXxFPw/k/0PwXjw/Pvp8ap+4+RmvxAJwVKE5D1HxRAU8/Fsdn3vg5fYeI4nzTAJAMueUpbAQGKJbJw4Q5xj+8zUWdQ7QiewAWGYvMQjTd1EGJaTfeEEXjXrUDJiyOgoLuAKS8oRQPRHkPhFRy+h+J8l+h+E/AD776TQeF/AA3K/D4ymwD518amxZ5fFHtPrC8TEfPQHRBk6W0lP5p+gTn9E5PRCEp+iKUT6QNm0IB9Y2hpjbI0MNWNe2B2YJKzAQEoQS2uiFAAoKEhE+khrBCgIsEABlqJRpUOJbCMjCLoYDdCLVD3yAv5ID49ae5QukkXfBnu8H+9PdZ7jPe57zPfp7/Nn1575PeomKGPZp7lPfZ7lPfJerJ7r0QEhh1OqIDnoYX2L1FjxTPodIzwF/Qx35J5rB1B8BPyz3+DuTJcIvyz3eEP5+hgv5YvPTZHTPB4PoZvJn59Gwy4XWCBNEB9E4E4E404kVBBplwLSAYMaENm2Z4tX0Sp/TKZ/QJb9ich9JyNsoC4+TqBDUAGwGx+Dq7/U6g6AcqIRPORCsCF4BwAwwBONONNZIAmACJx/SceeyQA0O6mQHpPZJ7JPa57VPYZ7LPZZ7LPYZ7DNkgsLgz2Ge2z2Ge2z2+e0z22Y/oz2me2z2+LoDtWbQ/5s9vnt89thP+GewiN/HPa57HPYZ7TPY57eICrHYIaU42k9hntM9rnss9nisejCb8MV+Oezz2ie1wA/HD5AcGaT2eezCezz2We0z2me2z2mNz6MJc+jAH8Md+Oe2wEoAQjjme2T2aezT2Kexz2+e3z2CexT2CewRn4J7ZMH2NoKVx0nF9IP86cacCcKVtENohtK28CnzhM7gfGTRlaujIUSlhfU4fLQkCdXLJhqDUqHgICa7wxALI/aJkWEK+QZQbgXCZAISrhgM/bTZYYRpQMLfrCAYBScDhwKtUrQWIbuoQACazheJPN/EP8AZu+Nj8S37FeB/BP9zUQ/FFg5wmbj4tu+mBsx6H4RNjqhbiegnpXjJd9FPYIoQncdoNQRM5HFFAo3GKo+Vc4hNjGGyIlC2ADlSwoxWkAJMLDzgO0CI1iGJgQ1Uy3QV94BAAkLH5x88GJ9I9A3B9JQ5BgT40hSQI+sqHoREOQj0RgNtb8h0XgQ9T7dV4F4f2uXwV4aRt+nXgXjuiroHpuq6r4AeuhNb/S6qKLoui8BDBxMLb6nVeBeOm3nz6L8CuF5NT9gS37A6Yfayz8IPbwMoSaKxULa+SAfcgakHssN69KVasAOr5Rf44R/i6Amei44IKcR+l/kD7RBZOv7vQkD7s9ygCdPvN4E7pRS+pPR95X9yHR9ae8T3Caz14QJ+pOb84K36kb+aZ7p56xco85WCLdHKS/Ul3SHQ1oLvrz3GY/Pue/xq/Wnp28DB9SYZwiSDyJsUC+BEa2NZZ9YzV6Gpg9wmL6pgqcAiYYNb9+8v+/Pe4VZ9aH/AHYXWAdC9DNH68Liuo5jP9aDWkKvuT3ye+wuqT3WDU9We4QtuAC0cy/5SZtT3qe95ghvfTBq+uZ7uYWvrQFr9WP/AGx1rncdaw3gp+Zm6PWZnwItvUW/54ocHnTA/mwakQo09oFj6UFfnVBW/R7dBCmAVuQ+QMC2gEJ7jx4u/wBbqCndRQDJQnbrbgZjBsIoW3QLtEDbarSEZKMkrYRnlh18p+igIoGWVZ/4P0O3xCD6ivq8D+CblmcT9dt8Fxxx9CC+x1cccfgfRz5tC9bwD6vxCVFyD9er+GD7JhXjZH7rqJQdzDAczqTHj6jBmLSXUMoaJGSBjguY4EJz88GcCJryh/4CfZ+I+b/V8b5afK/i/SfWXNuMHxCGQ4mQbfV+Mrd/T7w/DXT9MtHq+DHxGd0BO0DpxlT95E5nqIbGHtD7NP1hKNSKMDI+qH5IIEADJgko+nMcBbSwOTCXhGUC9vlPd09vMFn0Z7klq+RPbZ7TOP0TJaHdPQYpBDl04viibh6mGTLALpnEgJPEl4EkenrTx4KoJxPkZxIQeDT7CNMyePZBIbqzsh7jFqhHN62zHPP9Jz/SDc+kpy9JyfSUfhLcu8x/bBfeXqil6iWzSecwRls+kB9fQg+r0nO9IXq9Jy+iDdekx2fSeyTC+iAn+JbA2FbgQaxDuICSwX6IUAAudu0FG7ifoEq/CEbfKA5AzPEyVzqe2z22fvEo9CYSv9qAGYf4UIoqzo9AiJ/ThfR62iX9OFNfOkRubLv+I1r0Y9/T7/iYQ9OGIItnu8aj2/UepkU5kD6OZPIHygCFgQgHoSaddSo7qEwCsjrUbDfaZ1ENpwTgnCISKNkE+k4JxpxpxicCGLNPoUOwnBhPpnH9Jx5x57dPZIT/AIpwZ7dMMp/oZwYAaehcecGcGcCcCcX0nt04s4M4EEUOUugGD9ZZjONON4NtxpxpkrOPOLODMb6fWF0eoHcWcGcGcacKcCcAnAnCnCi2QPAPpFsEWwTgRbBFsiG0raVtK2lSpUqLuf5dK28Go8L6/uUm8edsDrpyENSFqOnXU3L8RSODf0mXfA+cfYGRWUoDRJKT5GGjJuKcA5THy5gIQBJ3IE66WMQkhxkDzgWzkCIDIN8d5dKLBz3+UIWgX7lED4snmXIExEnCTeoIrsgVVgk+c013eQjhEKb7GBSQABeYV1+t+IXrvofjAw/op890Bj4Yvv8A4wCJ3Z8z8b9grEPxVPxgMvAfKKKAEAXFtF019/rRZCiMoHIOwSXsXKSECGd1DQqwl/aEcSJcHhTfEjruXLm0AB7Qkoa0HEDXH7ERIQD0mvlVYgLUFA9LhFkQZvSnLpwXGijZ4IKeULAFHGoBNaivm3FrhUdxCgHjerX8QlSBGweT1Et5+FeBdfn/ANXwl4Afdz9Tui8CiiiiMXRQGD9FG/Rr4lA4vFUO4/Xquq6LooutG2b0mQIui6roooupDIcTvEUu+d8UO+E5JL2UCVI6cdUS2JFOfpH6/SAASBekA/8AMOiMDfEVddbhAgSAf5Iv8kJ0ehP0CE6ItxIqf1TB9yfqGfomfsGELDg+T/M3RE3fSVj78IRBV7/u099iBfrz3WU/fgr+vPe4dGFf34Dafn00813m5sC/L7z3ee89Us6OtMinXHL5csqJ0JW1M2oQVa8JAKxfODr8PzP+zjnijg/fvCTH6e82EvwoNqaVH+wFBrjcQuhL0oCgix94rXfmCHRXqw/7c0OiLdODXlh+pBq494D6cpM8KT6Qjhgz2/EABZfONxh7zB9eOtQ/9EbY9UO365krdLhH73Ff7sXv4wod4AADS26IIh/zIKPpx4NPaD67XaBgfp9utsGWKYCTTqoOmPp3+I/huOPo+j6vwv8A434SASKxiPxvxvq/hvwuPo/G/C/7Crfxkd/4Ia/wh+Bb4/rq/wCoZeAf9J8T/qpH/sRa8B/gHa/iL6D/AJDj/wAmH8S/+d/1K5qVTmCv+XD/AIpjT+uH/pyP6U/4C3x4Dj/oYad/8Bx/GAsP/iIGAFn5PC7X/rJarP8ADade5f0peM0P4Vfxoe/8xQZnU+K34SU/4M/2IPX+YIf9PMhQUPCQxr/8UP8AoTBvy2/p91/zn+nv4aLF0sf0/wD/xAArEAEBAAIBAwMDBAMBAQEAAAABEQAhMRBBUSBhcTCBkUChwdFQsfHw4WD/2gAIAQEAAT8QvOA8zA+1x01cdmPOBR3e+TSXOweMQXp204QFxoQeXNiGWJjCCbDJnsTGRzc5yh4y9snaYjkjmqZvFyTO5hN9GY9N45MOsxnW52ydeekzv6OMuOM4zjEJh7dQ6HOauIembesjnf0d8nl6JkybzRvL0r8MswcBwlyaxQ5c5HcphJPGBnbnA33ywccQZ0eMMTKXJsxY5xjd26ucm8BMmTTXTZJnZnONnYx4FMqRxqZHUycM3hwYQ+TAKbcJi9sZreLxlupmrvPGQMmB5zlMM752zlubE198MqLh74mDrDHWS5x0MOc3hl+nx6+3S6z5wy16TrOnOHU69sMcnHWueOvIXqFma6XFcl1iOE+2Ayo+zi35MQ/fFNKPfEckPnE8HNWLI74i4JmFSGUzRcDq8PsPRHx6yX7ZMnZyds4OhgB37YcYKHnN7zlr8YiPGGTjgw98njIDMHtM4ecK4ONUcZeO+d+Zk3iTlytOmycZ4j0uXjNrjO9M4yK24C5Oked5L0uHGTr3nUM30749L1ub679ExMMMvSJnbN4GHonopyLwOcMWCcfgzg3PjJs/Dndp8pi+Q/fEcDO7/Blf+nBZTh3U++APL8udrPy5w/4M4EfAw4AfbPgYdCui5ei5cuVldAcV9s01SPsMLNmETodJ2yUuIoYrC6ybI4kLgbiRzYPvnHIM3nZgNN4j4xBxkuAPQcdmGbymKMyzzhu3OM2zWccZz0m30GOJ0uOJ17485vJk6b8dN5HKcrKcrx0KXjL8Z7WCcmey4edgznnAN9sXx+PBOPw9MG78GwT4n3xHKfviuRwXcfjO6PxgeXwHK8D3vy53SzjfxYcYftkHH4sjqK6Ky5cuX9GYdFSjhTn8ZIuc9K53zlxrAu+2Iw3S4RDILL98F5Zoaj8YOjvjyA1zhQYhdOEAObaZUAn4M503hZw/3CYR5/kwTUHyM7syP/sYW/lx/wDsZ/4uIOk++f8AWwbs/fBOcjul98b4M8o8YGP7/wCeMP7Zo4/PPc/PP+jiXf8APO5H75/08O9idzHy5neynV/FnLh+MPbyZw/Ge0/GHe/Zh3n+M8vTULEPv+ef+rntfnntfngf9mf9bAe/84H24Hnwn4MON+HAf6sodjqV01ldFy5cvS/onpfrVTGnYrhEarT2zvly74yO+C5w8Z34zdhdYF2ZnZD4y0+MY1hhpS4KE3svOKXzgGcJ+QweH+DBhrLyvSFdFZXpCuisrKyuiupXRcrly5cuXLly5cuX1XpfoU/wdPW9BjlD2yGdNdagU32xSb03AcfBHBM/fIE7PfPOCmhzlDlzXPiPYxc3kyZDzl8jKeT/ABZ9U+hf0a4ceueh6Dh+5R9sMuPTtkhrs8ZpLbrFSCbzk3Xxgoto5xojgapjseMNHvvy4/cDCF/ZM8cOe+VRfmGWcPdj7HDuusTOlrfPCOGYdGx9v8Y/RP1Uysr0AMmQLcXxZ7XEJl/1s/6GCJRp0ehka5H8Oby4PSqcYvIN4yipxFGc1WT2wEEi5Q753C+fbDsgMgT4flkm6IM3FmapV4hpcLQLmmYxsqV4NOOa4B1rjlzkIFDKVdmX4cfQl/U3c+t39IfoD0rk4xAGswUp+UyknuUZXifk5bLQITO6d48NPnlw7nb2WBsMyuAARBUPauIAN+HnIK7rg8nLod7QZPwuk9sEwQY+BXGWulD98blCFKYLcrlHdYBWGHG6l37QxVoYCvP/AE4b1RZT23hqnKMek6auvP8AK4dRudsLYVmUqdjtiTZXBs174aczEXdypCrdYBC5/Z7Zcukg1nYsqXWxy0I1qL7e2DVpTwuX2O5ryzSa1vn21lIMYx7MiTBUkmH9QdH9Ufo0F8JnCIFExYHaXTHSRkiacTiEc4alwmoB98Nrmrp2PgacP02/AweUPktlfA5s9C0IPZYEkEB+UOGxdR5cVajm7krldjcfcYOx3n9zEOTlXlTG4DBavdYx7zUvCSZCvX+z/wDcU3QV9lVhTzGj7rl6dh+1THpehP8AcMRjso4vQtztrBSzATkS4oq8LyZzzl55LxXGE5w1DUHRxxHCi8rr3xnJpWsHhycTCSEEcOU2yhSRv2eMSIsUH2MDTJUfswICD+UT9fP1R0v1fdMf2zbDVcwLvI/Jho6WGahm39y8U4yOokMHIwQr56u3J/OdzqE71cTRUENcqid8hAoQJDw5OaV784mAMAvIgsRpukN92MXifsYGQMSI9xhl6wGHJwMXKw+6HjLLRI7sYO3NB+TOIi0ebR/BhptQp99McvoD8P7MJ0ekXDk9yfG2ds7Zu5ZldRmJjrVxFSMyyQR7ZEICvNyYT3Hy5oAgEDLj3cQzgaeJyOEESKjm3OosQuILAA0dmaYHbi4Eg0CTmHg5L2LMpD/1zj/lBw6nU9J1eqPOBZyZj4AjYMHQCQJoYCM7INvnDQhyk3HI12zlhrYeUMgBQLKmsM1jd445QRmp2Hs98Y8w4PJMoqu3sZs+pHQds1trXfxmmI+O+ca/ywDn97nNc8GmAgUJv4yrGAP26vRbwPDj+NY9s4elwQI5NFj2cUmn3CYCu7NTOxh55D8EDpMaFPDkal3L2eWXGYTlrtcPScFX5ck6gftUxx2zwtyPthGXj82mAcmhDfeyKTv/ABP8bfWmHrOr9CHT7dDlcuXLlyuVlcuXLly5XpXL6notNwo/PoOJgEPfZlqYnZuR8C3eGpF5fGEV8vdcvSu2CgjAcV1O1pgkXYlwUNN3g8TDjP7MAvtJx5yRxK9vJM4n4Xwzmt9ALNn69/zBk6d8ZgbZ+GHGXIaOhKIM5yigOHjDX5YAZG6fUFy5cuXLl+segx/xB/h3ovgB+TLCPOW/bFMWjhNrsccZTx8TDKDiPbH0+f8AFv6M/UG8WfQPpPXqriXw7wZcuOe9sbMDaT28s9j1C95/jz/HX0PDjwZx6no95d8h+NdEpnnHJiblg1gCB6j9esFzjT4ZNgZvjD74BDY9J0mEdXA0CydZ12QDzMs0jmGClAXA69DZIvGsB3HCnUwjSHuYLCBpcmGbdHAma3gD4epjrDNGG8UaXC7rwuTJqLRHzrB1zY+Ux/Qu/XX03HoZqBwn758dTk0G3y/Vf1Kj+2Ow7f6sIJSz201wBaG10OsIQ5T8Y30ziYz9jbjaFGXAEol+PnC9Z6+O2BOiTtHXOSeyQM4fLY1rGE5FfjLeXIxhqTkz3MMzsvWGCgfkmTvMjwq5cIvDvDFjgHS1ndP3MsPf/dihc9xjfBg2Qg7GK0OP4ONmx0u0GGChEezk3hiOwP8A2xthcPK40pyvhHEAfH78VxVA0PmpkCKADay19sPlyvw7pirEO0teWfGHGTvsKh+cQG0Xh/2ZcvFl97AucKxvtG/Z/LH9OdOOt9BlHKofs4MMVxy/XfVf0Mo+zk64EFsCPhLc45gqYGpZPdKYCbIYSurW8G1NQ/m4AcC8EuWYnOy/uY+fVJ+d5qIVYxa1GvnbhHGp/wBM/wDBHONG9rM0V6sas6qZtSsF8sr1RXuw4ykY7WRcsYGYNDE5/k4sTTvsec1POim68YA9TK2scgDZDIzQS9hYo1BhnFfzYKJhEvOWOU0fdwKNIfbGU8sKVwlmjGuy6yDbSfuZU7SXswJMX3BNDhvCjEN93sM0+4p7E4kAEAXi6rjASOz8ZIDgH+r9Zevfr7FL8mHMz3yrJ+pPrc3w8JNbB+FywCmwztMdAbxi47CTASE/D5bnxdJhUU4752jrJ0k9oDec0XPfAFbzi7mASh4wMROWaMWTWO876wZYvs4rAvl3hEgnGMUrQO2lvQvtDu9OEIScMxSo+2QKk41ioCEOCYsqpfbOCGXEcocaij8ZcANi5ysL5ymXLly5cRtA6c5c3rfW/TpZ9V6OLs4hp2WcOTXV+i/XPqzwMvrvoel/TX6yAuu5m7Fhy/qrvNVa/YJjnt9Kd/W5x056bvt6r13/AIC/r39PY5pXddDJ/iN5vLizB/VHoX6FJcImukydQwDytD8z60w6b+leGeeCfzrDnL9V/Sc5haB5mTJk9MyJvCIJ6TrrpXK+OiqpVAyn4k93otKeSZEmhT3TPcykuXFB2+5iDziEr0PcxGN0uShDFBxQ5wVBxKguJHTWJwXDH4ic74zTVUHgxkVQrwzOVQ1+y4lAViEHNvZwThxRiiJJO7Dzo6dbx9hvENTYffEyMBtc73lW1VONH+Gdj1iX6A36XbEmCaOG/wC367n0ILboPhUw++432x3VFEwMRRU8Zq4dEXwp/GFYEKl8XJrxinv2mEBMpLlYJpfBcovQI9sELFDvhwggvu/C4/khJ5TFoAOxPhywDsbO1wlmynYluNuuPfXziLUCwyGuN3DeTZZw+5cI1sHw1kPBY+AcsIu32rk3hWc5U8mB5m9/xgL1NpO1y+HmxXBuKifJ5xx3bpjqopriyeFePrPtpHCt0cXWjDyc42HNAynBQj/OGqmLx2OMJPsm+UZjBnu+YBxN7+aAEGTGu8SWgkcf1SWrXeIlowLymiYZtNu3gJjJAfE8XNa6h2oVhRMs7jw4QyQ0NzbXAzw7/Ztl35K/Lgysa+8twKdEPNpcUpd880jEyBdc2EPnnFoPK+/EP2xTbYAsgGKrqc4iIYAICdpywZqxH6S+kPpLMGA7wg4inhn0b+ks9HBuOfDjNoJEvOK/uXlyNEUTs24JGxU+V/LEzrUunB27Dz7j/GVoJPvhgVKim6ljkmuT5bcm+tZeWTDOdCfiYi45G/GAAZCO8xDDhl2aGOCmfKJqZGM5KuVqmUP76LirRY/cJixBkGKNxc8aziKF8C4+GTnWG+4GMYkH3RuCFDbRO2mC7OW+95zlEcuVlK5zbl9jhxlRo0xizcnyTLxuvgqTGDd5mXKOMyHOAD4MmiIXy3Di+xOdyCgcnc4z7TCA+4XKFVojgZdPvk2LVG4hMo2ORftp3j0dQ15ZiMhckyZAj4whwBkDYXouXorLj1v036aZMDF97p8O8vj9A/UQSPpuXLly5c3xSj+MGqhWfO8KIAoLoXIxAUV4yLL0IC3CiIjlwTv0gPDnvYh3x0qGfl4xJlxBBcQrTL4MIrApcQo7w5E4LiJnXa4kEIznGQgKuNhr9Y4E84q0TComMfZxoMiD8uNwGhfYeFxaCZUvBjYGXRe3nEstQPdi5DbXwxwNCbT3hcZvqdvnj8YEwSo8/GXoIFvaDHACseH2Y1RMDba4TClGm+6mDKhhXscMI5gIpsB/nOAlUnuo/wCFftn72OT6J+uQZOpwtw0Ch92hliw9eInO+9w/CEDhcOstt3L3M3YoJw60HZMaBp0WzdklvReaG57mWgG3ih2xsoZ23kDhYHPzm5lYNbCcCDkDMo8+TFjlvm727yElSi8mCoKcR2uk/nAbaKeU59hl4Ah8pswTVFvZSWZahWJF8z8mCQ3fu0x3YzN50KlNjtbiaN/KSYoCts5Rc01o+P3y0I2KlDlzkjKTvMEwa5wl9jhgWsIdJ5yFMBSbfPxg2lEvJdZH1E96x8TCoabB2JMbOACA+Hj85xqZIKbDX5y8UUDZ7jggq8oV2xLAqGd2P8ZtDW6EqQxaeDbIFNZbuGtHCRyPUUGl3N9Cz9ScdG9V6r8i/GB19F/Wz3yby5uinzgH/wBsCePzYtNfkzdx+TAlgL7sA4PyYEBIPdnsfkw2bflnu/yz3f5Zrn+zi/InHUOjiR/hwBv7Of8AJzw/jyH9Zh/8LJ4vxlPBl9jKeMU8HUp46h6QXouXL9M/RHqnRhObT5N57eP8dfRf0Z6mhr9Efo76+RMZzun+HfTf0z+hP8I954WIep9T1fpXL9M9XfJ6T0uHHruP6c+rr9IZT5j/AFU+i9D1HUx9B9I9D1f0C/4B3m+oO8X+FH0T0n6Y/wAU+nuxB+gUMUzTkyZxkw6T06ydZkyYoK5yZMmOED5yxMJzlmqXv4x0nDGN/wDzYx0Rmv8AIxcG7nymILWg2nGMipGhSODpil02YbdreyaCOMpE5RiwblKxxFzWiTSjIOJlI1we0/vCLUaDGUx10KS5JIFHywbtSA/gzROHsQIeZiGip2SGOx9jzEYpx+4uFCaE9+yZxkxa7DzhgFQLGmfhkBztuOMXkUk+bwGImtyuo1mady72RmQjCEPwP0x/kb6yfSfQ2R3/AGA5QCC3Ychyg9EBMWIBB+MV7G12TGmByvHLHI+SeSYs4n2yDIO2BcRbcWlU+vND+MdoaNfIfzjNKXuMcC/mxtU91rijSts2A3CaNJXI5aoYTEL5GXKAE08Ob0UOU4wWnK78YQaDP2pljS7dJt/Lm17+HJsmOlGnkcegmDSyz99ZwV7BqsFDXu4A5wj/ANkH1e/RtP1Pf6Gvp3c+s/oxdBbhoFcuXLlwcuXLl9MLZvLly5cuXLly9Ljmggf4A6XBy9HLly5fDB1+mP0rv1vqv+CuLhwdL6L6DLly5cuXpfQY9Z03kc3kysmTrN+iYbyZMmLgBcGRv6ZnoPS+pKRzeHTebzebzeRyOb9Ecjk1hso5MdYR4yZMmTogacgKsMlMmTJkMmHKCCmvJkydADXbKWXcsxEIkxQyjpdDh84SmdmDKIlmLGAPGWpcSrb+AXOF4KXFgIqO7Oc5S4dSQkd3EtoBVwIHSUwjlELhWXA7g1eDIhAHJxFllxKkItvYxSjCFK3EZwQiOXBA6Ffv/WWKix2B74RDhKY8HYI6c4V2FGDxxDBETFPDGyynLUDCQSIR5ExylES4Lnlymb1igU0xxBESTffxMGtGJsLc47oNjdtn2wYIFb3QWXOIIOSqZoZeWBOqSBJFmCrC1w0ezzhlfMDzIfOH1lnpvV9J9eY5Ls84eCoOBcHZCXDdMPxpcQmhJsbEXAGgY4bcs+jm+Aco4XZmrC8vtMdQ4vcSjlMpRJORHeHQKhht4ZfY6wlCSrIGFwyQK0OBzMGUbX3auC7qVwGSphFFW0tC4Uk6QHtDZjyAkHxX7Mq8E+YLpmujreCs3E7xscd7gr28SB7j9s4JAdl57OMK5uMWhymI4EJ8Gc0Kj2AxvhK8VWjKChlEx2cMQ06adKDKa5GuXhSKhli93fjDy50CxsOD9jluBxkoFWu1kn2yRFdNkzG20XBLiLiimgqyPxjWwKgaRx9j4DCSTHcl3Lu6C4KWB5c2BcMNso+5jdNNgi0S5Q99BDQMZpywe6AABdjeVwzHXlOd6MoAamUSjKS24fMbgcBopCCCcbxkK6Rc68PfITAZUlA+BxI8o2KdpsMb3iO1aRz3MRuIKuxMk7oQoQ7Sscn2gdgEN659uEytSVTtY5cBIo7X7wDsmNSJLdRaOuxguNP7jAhtgFBTVwHlhXl7FxEKFdYoOPly9K4yi65V73jFSpciu0HlcJoFB6uAHu848IQbltin2xrejBqXVhpMNcButfggYqVD4cBpg4EgFNWfw3D5GgR07D4yrqvKzHatF8QhjwjV7qgS/Yw/btU+EZjoRB6LF5uL2LIMDJKhASy9zDlCd5M3yQhJKuc7DXQgUDzvKibCdwwxwzFStJt0o3F267dzgKCbwDa4awjxlUN9peMoobS/bN1qJo9MP0T0cMcUbgnfjBSFjcUn+8IwFdXdcYhymGuokPtLgSbGW14HuYwh3iGF6lljZ57NwS4LYyLAAGdzijCPdGAiofHGskFK22OPhxiusRprA5Kmanofu8mP9maO0bxdKQ45w00IcqNIiOEkRDeQSJMQr4Jk6O/VS0S8g4qyDPiJM3okOnEJh6/Oqi6UflxZoyBJBxxHeT2EKCE26ZwDsOkxHaUrlGZEhQdKHAzCXVEHR4GAzL5FDkfDmn9wbblMXrnzPfc1stIrcJnFdgaxzCTZKbyZVRi7VeXy5Ug0rxcYFJHvDzgBgUC8hlN89HO+b84LtlQ7r5cGF7LrmNMXDBa+7jepjVDjOC4RAaMv+NAKZEzFTxgOwLgHgObgtIaV+2FlSoJwxmLhhplAJ2vnGgwDCQ49sAoiT4HjNOxhRcvQcH3y+mamtQxZy5HnI85D3z3MYW4xKm8FKMYLqOW4GQBkyx5G8hmrV53/AKwLEEvdRcFgviORU2ce2nExFRQBWHfWMltggtMELVRiqy8Y4EagpNQcm9fRDtMbQ6BoNBbvtlNXgE58YILksSUWr4x3vQNrWBTtlK3bFW8pk6IhK7no3+lelmD6EudmgMG85rtMIQgWZJCdy3vgvCZTgzAagMSEJ5wWvXDcakFQb2GYbIncaZCgoJ7vGLoGINeLhyREHxmnii4s0FoSop/GQK6SrHRZXxi0LqUwfjEeT4xYu7MOvKGpROe2buYI7aO5kaZEIlBdYLqKplLwmLOLYGjeG5XSwqVn7ZykDjRMfSdZJy/ZcJ9Nkd1KIeMgUQlV2fzg2A1JjYBH74H5Q750P5xnswVsbBTw4ythzkPOEz9ERrw4zR6sPc0fOFKBjd2dfvl4qG23ISisw62nxc1de6aNVHtkggSuWi5FtG3RG6+0xawcNuCTKgL02JH3pcjndbCck4mgRShXJHuYgeDFj8YPFI9lBPvcBS6LTAv2zcTWtEN2YwqoCUCOflje/wAwvfAdphSlUGudx982VTASEuXo+zALPmucOYyPYYq/tDB0QjqV2b0cuNgIihVkI+cmRDERnKvfsGcrN6NhTA29QRFNjg8BggRN0u34YJA2VEgaIrcnYGB0UGhwODc3wBmUYxpEl4JjKqXdy3Z2yyLRdKJmxZhNRl3zziQyLR5wxskbUUXSHnnnBuEuGmNe+MBSa7uh2j/pwsjpVVRDwffGzLWh1kCidQOyjX3cuGgQ+G4vLGEAQXTeBiQtiQQHDnarw0EmMyKqaheZ5mKilzIheMT2MobFvv4xKSLV5JiU83Wk88k3sYlkJj6SAfbKPKxbxBN45Ykn2YwMUKewkzlDls726xSjRBXHW4M7T6j9dg7iagNTsXf2zXNCdJwMLiMf3HR2h8ZLllUh+MSskQcctwqKTIEt4P3ysCUBFnfW8Wj8DuNKYISMsC04Zj2soh3qkwVEBLFRifGTT2Ua1zQ4CkiBX5w/usDNkFyMXqNNdpuN+Iy7C6Y5Ff3yaCHsD74iCfOgJ/OLsO7cw2HuY9ADEOzneaR5BypLxrINVEfBMeekhtFLf3yM0MueWALxSG6onhMXDZCuXIEeGbR4beLiL7LTuPZzxiWAL2hD7jhItpIREYEGyRLo6/bHihz7IwL4HDrtGF5HnBNbEjm1MMlW9CBy5QAfY7P9YamiR5hgx5mUiyXIxlDp8MdFz4NgJ/OAKGHZs5VuolNE/dMfYb7zT7Yn2oIyob2mTpuX1Hs47WiW9xy1D3lrpMFv8hcMWpYqpp74SHATXYajiRQk12LYYLx5T2y3FzOx5Y+S9074xUORLgQeGHuDN9cF7jOU5XDkcpO0j7LUy/X2jg8YcYdTjk5jhpUJKHjEaNHkSmQNSQHTgzey5inB4MoAttBzxivJcBoo865wCQAeMUCTKaJhisriDqVLe6/zlyuVy5cvS5cuC9kOl9F9ab9L9cCI4ENMduUMFokD+G5cRiKhlMhOceLig7RfJ0XLrKZE5wHnI84cq6MCbbvYSmHHGJFEfFwyYwaAPdZjq3Utw4IZqyCy5vtMo0uQcTBdHafc7Z72invOZgoKaECm3CQVNGzQOJCQQUIaDi+sGcTtfXdfpj9Qf4RI4iJplwI2X5mABFpqUtH4yBMLp3zmRbjtCcvMKy8koztmgCm75g6vbjEreJcIjCISOgaY7VXlo4/YzcTjU7CBcI2CrRwO374RsPeJBRDgvaObc3hl+brVYsJz3xXImQkIO975V2SQlfY8vvmpkDslgFwVjDDem/8AEwaHDs2du8TL4QseAdZqU7oIKajtbjnbSHMFofbEpAXhIjcSoNK5xdTI5Xulr98kuqEJVgOyxxNlTmcQ7OSftA55bcBg6B5jdMVJV25jduaJCd3s8Oj6DJ6Jk+lOk9PeTrMm+k9fOTJj+oX6D9RQaDg5HCcYzOZoQlyECawBpe2wwDgPtisO5TWAHAGJ0AXlm83u1OpKgAq4IlOidBZZgdRJcLAR4TLkHz9SwYxcjLhR3A08nZxZg0UDvkx+koD5WGRZcVJRwOXJm8tLiCCUxBy5yNfneAzUEl7i4cQr2wgNdxzp/LEghXgxAsV4M1tr2u8gSKwvlwZIcm8TBLGg0SuHyKSAJyvxhIcupojw7yIYyoXebjsaaNpnKRSljh2bs4/jB6uIGBDuXQxeQPFMOL4aqVxZlYDEJKAoPfIMUbkSImDo0PXhAAwuAFeF3njIC3FwkvOS7Fji7rgo2MWRF0s51iNkCZIPZp3wD1QexlDXH0FQ5GGEJCtgLi3gUUvFX4zevbRSKGSRI8QM0R9sIGtatz2wKFyODvHlmBBQqI8iMTJnryyLYp7GNXtILzAwa9YIg8WHlxLBKKApi4Q1ZE1VkG6ArvRc2Yo7vVUTyP6NYLMaDEpw/pnqLr2wZ2uS8OszZKcDZtkNRc6ZGB9UIuExACyViw86wZIE5AgYUe1CrWozC4BIqtTbHz7zNwo0YLFaY4cC3HVgYxKQbinroDslmIgAtScBMZQmtOLft2xNgYh1HPMCBts3iNd8Zwqfs7x3hqU0tP7mE+nttOw/OL02E8RvHcElW480QlW0+3yRuQU7Kl8+c3/wPAiRODuoxVoGq7mDYgvPAUDhiKJfSDjxldt0GGPOFMg2jFqWYdaZB3obPnIU1wQlGk8udp8xDhoMKVJKkDFO/tjWyruxcDxUxA/FqIwW9vZm4OeLUhwKa5l1tKdgxTiN/oQ9tlZ5FCJc9isrhp4vjil46jZTQ+MACuU8m6PY5cBMoOMErhZ1KwIkh7ImGWAczS6uWlmtDfO/LHeic+4RxuyXRsi2/ONstMfIk+VxZ5FuuO8w3IrYZJYkC2ZiL19t4Br1lhtx8MHcCturtMC2UgtpSrj3m9vipH3RwIlH2aEJ+MFOszglX+cHsyPwBondMU8jb7PYmINaXtavjKF7RaqL/s4yliI0hiXXnthZaJ2Yg/H3x4BWoyDd7zNyXWoAmcjGNibH4GQCNViC9jIQSB5Sy4HGUWtooxJkkW4iAz2DGt2UE27tuCUZNCNLilWiB1D4e9wVuSBDQIPDM7fQ8YkOP079RHvAaktymqKSdyYLjAE+M40SgyxJHB9VIZG53jjbGTWKNZCojcJk98GziiNqvGnjWGEgZucSY4iTLLVjHYF2GKfcxFrqTQMJijYa1WrsmFRwgbV0fPRGzYCFFDszGOes8Jk4BZL7Ycb4iynzi4FERijdmWtdgT8vOBO1Wp3ZLmnnIiITKeDKXgymXofQCsrqPQohAIzap1LmmfPK5cHLly5d5cuXLly4BTjuhcuXLlhDL0uXLlyrly5cv+MvS9Lly9Li5cuGXo5cUFy9Lly5eg5cuL6HodLly5b0cMvo5MHWPS5enf0d/V3xy4dHbpM7YfU3f8IelPWGPrnpnR9HPVmaK5HJnHTnJkzfSZOkyOJ0mRxhkyZMro1UvGTNkwIQgP3YZvomJkyPSZMmRyP+APS/UdC4DBEW3trN5Mk0CjpxzliTEjsqOJHJy3AhDEO/nG1gIErWCD0wV5fGJqGgU9nJ/nkbioEzbxW6/bKKIr7lxaJJZ5PJ5x1pU8CwBVwNJd8Z3S8XC1Iux253iABYXW3EqDU222ucTCiAV0V+1ywVvUaE/vAl2hDnEHv3wI6Rq5e3nEIDjkELgWiOHC4LgRkitHHSYYTqCneIwGUWjRSLhFukV2UXHxgniYTwUffFJvmdDR99Y7EgjZV5KhsxteuUBrCDm6OtC5DnFt60rFbt8XIaMIyHJDnHIE9upaBB3rABQcUro9yYvt8ptn75vJnZ2zsB+7jAFLZQBxpFu6oaVPKOKXK3bFw67OXIYVzQ5fc6HGjGoVV2MWew0q8RsQnOVMVqcgDjWFbBBHNEtS3tiFqWtkx4qbGUhAmlXRROTFkGACdgO0XF6G+hpRmIRq+LRQPvMqFcQCarvhJvOaW0EFjv5uIWkczdl+JjNbmbLXZ95nLDuhOyHdqbwWEzQfFccxyMlfAoifyyJQBnYRnOLa3PYURsPG3LolWiUcj7n+Cn6PXRwx7YTOhUDfNy0uXFFzMJIkm8WcQxQhs1zGHs80IItqM2/hCBUcPSqhEXvnnL3qNW1Rjm00I6okMAyTVq08jmlNKyRg4PnEw04ghfBtsjg5byeSTQY2zO9NpunNyBsvEhowRFARBnlwiQg1aKNX7YxrlcmyR1zJi+0TyrRHj2x3JxRv5TzlRxbvIfCZtEVam0Ad9OOxOLwTY5ykWiSuazHigFobjApmKoGhpv2xYEEoJyLNXguTGV3zXPBHBSB+XG1XQK0e7OVzSgQezQrbcKLLefSb375JZaukaGwFJvNo2GPCcG8UBFcJxOeHAYRrkJE2Luswl8Xh2CXE+JwSK+TBYVRlavbFBR6og8mBFqC0dowZokkEgC4kHDowB5O9x3O/qpbuYEAoI53hfIAC4TjeBnKlTdwvxhZiHzVfdcBVOZnRDbLjjFkBWMQwWoBuvsGPkG278Mo77jO4eMEm+jXjL/AH0PGLiceCiLePzl/eE2diTAjffsWu2CtD2ybBNPjEDxgVR5lyQAj4lkuTJmrMmTAyxNjuNyZM2IyV7gyZMmIwLFPYZMI9W79d/QHogkPKzBBU4Rp186qCOsAXce8l6bUgsNXeI5MxRbOidsvRYXGVbIAjRmXpTOAJKPAhy4CS2A7Oac2QpPlMI2pxgiAubBqTZMHE8EYOY79sDSLrbMGOLfcNlspREwqEqJIwuBEqtDrt/vCJb4FlmJhzRo1JjPGu7PBcRSggTGh4wU5Y9lUP2x02WQ6uJtKA3zmIYWdONacCzROUjmuHIJApEWKNTnNOl4isMusTbzOp28VxcWWi01CtSXBm7eFST86zitCChZmCiC71ZwOBlghYwbFmplxxsF2FR99YGUZEZpT74BBdgadu7ybGgeyoLiyCdiKxVswfICCDzCy5Tp0igtFxXZPNCYBcaTAGGrVHJxUtw2iHa8YiiSBZYcjYxStUEjuZW2Gjq0rgrN3h9kwg66jfZYaZDQhOwcb1j5RVtfaqG83mAXdRS65fGRHVYjodce2FOVpbtJwc0qzYVFvdMFSARIV/wwqhy+ZO2LjphUgCGWEgqoKmatmE4SCniUyibRNkZxXJ/gsddcDNE6oUdKLk/sATY0OMrSShb5D4wY0dNSA9urc5qgIHfuyB9hZ0cw8OaRSzj693Op+lJBeXFyPgnQ4MbiwccWBW3BgHAzUeZheUJADvjVEOzwLPuMXCLqd6wfBKK7O6PjBw7oqmhftkIG9DkGX9nLuY17M0tLCztFcMi7gnskcRUhuKRNmPJkFvKtfBgMbVHg+U964giBN7itHO9qKsu+NUF79QUwuqYvsh92B6AEOzNibPGQVC2tOYXANVMVNkoHw4wrXEN7UBwd6CqWnOuYYmS3AqmrxNZCIvGyLJq4ynJZZ4Z+DGZT4wFf7OeJCQ3Wz3wyCCjsp7vfAjt0I2FZjsNGuyVPPOLuFXda2x0neC0Uo7kNOauShQ4U5xJ+9IiGX5ZDkBY4/q4cRSqWk/gmBpHa7oJ3S6wpLWio0HweFVRmydFDywdBBVlEa/GCGusbNvb3wQ1ijDg5DgcC9QpSj/LDzqmqsAR13w3sd9CIp7McTwDzNB+5jEbBROFo/OL1YQUrsi8MCPb27auXW0J4WjMMghAGAaucIwUu50TAjrcvaFHHYyEbBG733BWIRHDl7wYbCOW69AJEFZ3cYaBqOFBV3jGjhgDhLHOMelNRoexkoaOQ17YTpgRJ3MoIHswmaTA2QU1SGLyARYs7m8SAtFjTicZuzS3fPrbzjUGKasIZxtAS6zTPKoYjJhTtlnZgVr3mU/UFqn2rhhy7u6ZLlSDD2U4ZnipirsxXQgA9jgySJsj3T6Mx/WrNF4bH+sgoBO3k79IcaDXLbvLpG6d08YDJs3+rBgDyPLzjDw0KYAhAqHIdsPCPKH7OhqTiAX5xa4VxGvgy+10sGvBM3h4DNli5rwZ9ulctwylF+JZcdPnplPBiaRJ72ecrm875cgFCsL3c3zkCpBvjLGdLjVUqFO1ch0cod8s5coxkSuRJ/HTjY/AjBWPYu84McUoDDOBC9zZV+2TvB+XwYPbjgRcEkaqEG0K4Va4rZMAeSBphYBTcDvOKASAuJl9t0ulnzjdo8gUwVQLJGx7ZxK/ApjBfQqVyuBO2Jce7HFPbSiaa8GBXQFIIUEfK42BHBIkXsmCpAli9yAWGbKAuothcMLMwVOWznBnUbN1DBZHYrKNBBza0wUXZ0eVMY0CRRKNHnFi6tx3MHJuHmhPWOPW/4QwFID38+8xK7Sfl09qDFLUiCAJwTBwUd0D33vIyGpvbBy33kEopmqFcdnLT8Ytrnkg2Cq/fIw9jKIRTjs5Qs4+j4EHtkXw1dnd4xF9nTVDufvjaHbodyVM1MCiHed8YVqMWgKeFTjGUiPgA2wHETIaR2ROcmEZk5ii3AnEubA7EuzAaIsOxU/Ot4OxsHCLRHmHN7/uPRV+2Bu1XSTVmEhZHCRtGBo7YjfOEGobuW1yauGnDgaxs4ifmYhR3c4mzL4caT8Zq7vVuyfJC4gsji0TY/cx0K1+wa/FztJT72pp7GQ+LXbiCRJjEKATKc/eYElA5Hm7hGiRqgs9rcIfnohMh5w+IKohShxpawLQRgPzgBkaxSbP3QZXVZMyHYd455R9eVNbwd8nYGMX9nFWDRIlpy9mFoODEWl92FLYkMqhruI5LkjUKwFy51SQrtr2hMcqVdbbrDneHF6SKSgsODXW3YrHgw5CA9TZP4phSQN8OJTwTFNtq6CFKffLM3U4V8qmbHWIRKPujgvEHM4avfA6ls1TQz7ZZB8Q3/wDHko7RmqfyZYWMyPEU4twiS1EKhV3xDHZASoQh+KJgalMnIz23t3gY6IA0iNccZspyQbMKH6gioiexcsWGF0g/1j1Aao2IuHESSRqXGnGVJ/NACXghg4TQ04vpQ9E9Ees6TJ9Mj0Lv6qqE4U38rgVIBIc+N4mRCJgwoHVgeFTNDO6oLe6LxioukHggYYHlWE9l5QwILUDQRJ++bGQXBgk+2sEKmhyIxNe2JSIBCRwusqKVfCTLnDX7H4MeUahAOTgyhAeWiXuuaqRx4rlPzmzR752txnSzBkfA5xma7C46mWKvKj4H2x0xk0xaQV5MuxFyZXLOLmhdaNRH2TjAfCh9wVwIvlV+Tht+cVcYLU8oCplEi2s7qS4yQa1+Rw74iQl4H4AMICEiUu+GfJV0b+c3AuQZoSTO6G1hFwYIHAGsoBNUA7xi+ewF+cjB8AAykurjWRPDicZDWjXGQvBmqkFNVexlcrlZcLjrQnZUpZ53hOqBElSZX0ICrCXFlpkko5vqSZ2Dkw1Zla6suuGY5fTrzjDlxSG8G4obUMGmFSL4ZlYpg7kALkbgD3V2TBYSst78YmXR5bxREU5IzV30DdLxM5w2cGVEwb8bxeXK2zBEFOKm8FkKM8XRcAEaZFqXpbp23BQErCktkuCS4YmAtNNXFovNiad8QSydlQ7kyQqoXdHnHCD8h9Rwb656L0MJmVQBj0ZRhGrxkzSKBiD+Y7EuJWjrruLs4NKYejmJiyvKe5ksGKGCKtGX9VSeLMOr2gUV4nObfwRCNL25jnel2KhCC9neLc3Aapc2g3QGs4ZftQsoFY/bBDkmrAHZdsK6uKeAf51hKjSgnOKOtD9ywDZCkqgvGu2LlVQBwTlsyqJ7o0nn3cDEVU6JU8njeD143RR7HkMbuyokTvjkHDNiHDhvAhAsAifJnEgTe+ccq4Q5CD4i4AjZahXcDtcNtOuUC1UFwjqyIk1aWUQwGpc5sNB7MxhrCF1P71jSaIoa2qd/bER5BS2aH2MqGm2LXQ3Ju2K2UM0VfoVW9MkMABI0o/nkvvjLSKNPOFDWNCwIbMY3tlQMban5r2mKSdVmUFutuPp2aCBSGMsOMVMoOz74VQrVCbQKucDo00cgqmFCCRQFeYYMD2TqVGUwJSG3Pe6w0JescLJSd3NpFDQoTWnGA3aarux1OFE1QfGALXtu4esVfrJMCw+4yvbD6NjMgB4rHK5FNIoQX8d8cpIZ5cNA0xr7/VUIAdWZuVNShsjwTDucDYMwL23aYQ4ABatVvOEABIBiOzkZpDSlMKfFzeHbQW170mcd3RHkwwyQl4RzuLgOFTf3J9jjfapxopw1hypdjhwDndfo9okH23hh5MmKrRynDla0WbfnLt6eBeDWUD7tGnZKY4xAWoe1cW2CUTRGBRGnp873kO9yuASzNqzExAfhTEaAOBgFHdEyZQNL9F9VOlcLN+kOspigeQMBR37ZcJBYivhy4S7RgCuEGAGkHvXGhgIzQKfDkmx6JU0jyOLh3u2VHJwkoJMJ1zOtkAzUKQt+hNLiQVYwygARWIVZR74z2gkAAoK5HPPSoCEK4pimNW9EUZPPu46rAVkUjg8AMQMafzilhu0IImjeb96XhnFiDBoH2UqHcHEfR0ij4Fw5PaHShDPjKwCJeqvHFwLfeJOg4zeKOu/XYQ+7cL2TOwO1Oh0cY6OrjdFS3VGQx2kUEOXtdxxLCILIDR5NmKK9d3a4tCBOVA8ni3eOSkQg7ExtApUo2yYQlORI6DuOF/ckatICQyxUSIhUyda9XA5D2tcnIFBU8b3ZkYCYBf6i4ZtU8zwD2OMttSJEwouULHZ7ZqDtj3P2ZRbm2yeBJjsRXOnwZpLQ94cJg0JNO6FZTS4uh5paaN32JmvNJCkDmDtcokcpmu23g7Y/C2oKUZNPbHi+GEeVfLk93FKt9iYCAeyCyU3nCtF7eDbn38OzsNyOoAHgMuf2ncrcB2IBNCbcS1OCFOiyl0AqGhmrVcE47azQ/PA5SIdbR2y9uw3rnBMFiE8ANL8YPFBX7rVxcvUq9S4DZFVrjg5fQDivS9Ll/QP0xbMr0ph130uOQBAewj1uAvBBs1tTGklsNgaWvtrK5crly9LlyvW5d5cvQxcuXL0VxUwXLlb0cL1vW9XD6j9FL9A+ogo09N/TKTGAnnFNdSBVa5HRgQxbwL7h7YgoFwHf+jBYU6WMKvDrBrybr3K77azdXsAwXch4ZjcKEbAOPsZMVBtfazB0INFquy5FxoBkFbO+BENzJJtPHxjSgBSNGLKFiBbHDm++EtBCSxBAfGDyJwnS9HNzDLl6HLhb6ToLerh075XoYZd466GTO/U9G/T29U9HL0nn6h+jPUevWa2ERv7ZWqSWpp7ax9o7xrU4xi/gFxgbB9sAtEg+1uKeFB9huK/v0TJKkTwmLkElGsL+OgxJev2bwutwinJhqQ9t+GCpF8wXK78EDDYAqw98mHOJibzthvO+KBVmMBVgYhoIvJjRYRRlXsYrBYjkZ0mBg5WBRsHhwMGsALkdLuHLHE1hkEeAUnLDKNSuRHTGjnLo4YNY8fORFeB7Y7YYcGJlpJBSnkyZOhxDzi8aGBGnnILg6gyMY4CPuENkOzreCTbG2vfnCvXc2fuzmtFFvuLkKcooD4XLyYpQU857pqVMONhYu4suKSoEHh74qq+kqZwYIBVpAZTaXG39oEiQe7MBqoVwOZRTSU8l54/RL6H0uHo3l9L01wsLi6CjnVQ4XrM5RQR053QgoB7XAsAVJFOWYPVUKuhRxm7SB44jVdQZYNR7ZMdCkSCCmA5AqAzcZkZ5DT23GsaaVTpukSfGCoplVR+TkRKjEAHy84yLtHcKHn3x2OmuwVnddPOClqpoP2czFtQaBkMmIKqdIgn75c2x9ApRzn4hU1zmKyu8AmeA4nXkRXGK6HvdFQ1lo3vCES0JBPOMwijs7Kmn5wT0mhF4aecsQsGpovud4PKlCuzLs4cQ63cAAlHKMEnLwOVabcWK0MgSK6R5MoBUbo7nWFI+LPT3VYtUqYDIY8c7MJTEtcr2PwzxMXMiD5KqFG42uNoRbXxe2LBPOgm0fs4rlWLNnB9sI3BZgbA5cK7ioAGoDRpyT+ahfdACYpSXxNHfzmtu0Fpw6umMgSVwbV6wuGR0Lt4oHIlXMx2DWSV+IYvHSMQ20a02McJohhlvyyaTvpvBg562O0hwuld7wNx5Ttha6GQqcuyOQwDhl0Apx7OJ0JAkSONBDAPOSa5ncMNQMkJHZEZaBkFc4c9o9srPMiBe1x1c5Xyh+4VzeTSPBEGFPH27otPO2OSxEooQs2EcsO6hpgPEgrR4LhCtzaWsQ7g7zYj60CB8nvk4yU88TTthqOCCmKxsREqg4mZr4nJtVEzYyMXFAGWMpGvM34mAKZZ5GNUvbnBK5sByoWc5l87Pf8YzTSK0A525cGonc7il/XvruLEo7EF/OKI6Kp5NzKSQLyjleNseTegPE4XIGCrtwG8YQWhKsTuNMEwykAaJ51zk8GEgjrZLk5B0IkXJbWAtQEDPbFALBMLrFGy93rTh8My6QRScVzjBESm+7QyYK8ltroTeWrLsWqN49scO2FbtBgFOkwWlbewXWCCQIjmyG37V3fjMKCTb8MV+xg4rMqvOFuOFBYHW/wDLkE1pjaaJvDPM7vY0c4fGsRoqB4LipgZz5D58mSGKZ2Ft5w1qCEpQoR3MoGAQNcS4ciU9QR5BO5gaHW0YCMCTtvJuTmHVQSdsSqi01WkuE6Ml4EdqTWXcAGDnNCUmPjyyEYg8YWD3qjsy68txxIGolfke2sZYmsAzB+cgQSWcVT3RbgdVv30YRkRVCBxxGZcQoNKa2yc3LxQUZNwuNTDi4OL37zeKI6xO5CUWODJyB0odsKCIhDuDR04YPPVpqZt1BJsIbodseRtk4XbNDtrHBSMw5wUKecGJvCe43+cBAEBDXV5w1ft3XxgFNKp2OFz24+AYDH4t+7FD7HBcTW1zAMgbC4eD+Ms6D0ORMhSYANcw5IEhZeisrlei5cuXK5ei5foL2H1A+i/SQFcsXZ3jMvSDbewCv4MmG2KIovzlk4KwuSywCdNWxBDVWYBhAENsw30nii48oYBaFaedM6zJkyZMniBV9jpJy4wNuGUsu87TNV6LQ48uLcUDWx7mJgoDoV5x4PaUhfjHsBLGRflyTK8ftB+7JftV+GJkEtAdiuc32QUPnPKCIUObMLKjS9qg/eYSQ+Epi+ZGmfB5KjkKy4VOVh5XwBiAVdqlPMDLETWG68AbXOwXSd9DdiTOMUiIj7jiqmoEB7oYZVkkdtQUzioqk1hfgxIa1RoKm/tk/YU7WAexWuI4AYUHYYggMAhpfnjlgYoG0tfntilCFHkKoBhHaGpAlOJtkp8nBpNEdomplXB0tEUj37czLrzNuchyBMosKDXI5mGQrDQA83BKgTWqBsGgvGB7QJTe9w2M04bpKgwUQN5uzJhCmpgWQrPhs0I4z/ZghJwP++V/gSTBlskVQE2NblVN5BYo+OGYc3ERdmH4uAhyMXlxz3nSK7j6J9Y+rfpcmkq+TeZznIKIR4107ZXXvzsg5TkoU2t8Hv4y+agDQ8LhX+dmtre8Ztak0KeH4w9u0vgHA7NC5AqB2Sc4a4Uo6FnLcNLRC394GOKCqul9y/iGI76r1HYMcDh3JavHjDGWhGal/jNqe3latvsXC+XN6dRaqzNrmis1xew3jHqkyiFNNhxlogNkF914mavBWpS+X3ydQGi4Oni8r3wIz8Z4VaNuGWlEnDap2uEUDbIRbDyGFgxgwMA+GAANcIdGk9813uNjmuFA40pKWRjWDX5BqI2u0ucnKHplscYlKqvkzNHG+XLxJh7TIvyzFCx4m5gWLgWGnB8pMbCqwBAi/I5uOSKQGzSJHH9izIuParNK8c7O5Ne2IHYol4D+ME4grhQNKb4SuRpdtlbL5xrJ0kUVvymEWVICghRquX0crAgRgChGAaMK8LFCiH4Wz2CYdNWCHNj4eblPkdCRkH4MWnzcEJHBWgY44m25RqphENAvK7cRZSz6OgO+PNXYxlbSha5OhyKECVvtcPndWwnj8mI14RRJao3TgDNMteG34xoDK1II/nCdAbsEgEyxSI9oXI/a4iNTVWo4CRbjCbDSlkzkUczTsYFdGJooAfDBoFztq4COG8dxH4COb3nNApFE+2D7Oa0WoC6N5MXW3Q3be4Y96gJEXzekyfTjk6n0T6Fn0FnpsLOEyvbNATA02Q3fTbu4X0aN5PDhl8PZocN5zj8H5Iwi5IDQodmcmNl1oCBPCGJMNhOofvlEOtRovy4FlsCpfOJBpzt3jgoRe6YggXT2/GIwrUbbzZEVC8aJgwXaEfnBgAmso4MC0QCUxSscMRPbFG9hxNJrEQT5xy8/jCw7zt+Xb4y5tqyb/liWArJ2dsGwzg0zT1/EKZNEHd4Mo1C45XKysvQkbt1UuVysrm83lcrlc3iZvBEo0wEAZD5ifzm3DzG7MtpcHbhC0rT+OgNt2Qxi78GsjkzebzeBibyONxbeKtjo5cexg0Jo/OKWXOe0nvFwW+kN89nRHBRRJn7fjccuOfo/+DNaxD7qY9YFAFmcvZS04dvnAwzlEQmcCPmhwfMEeRpdYMBUCK+GAOORbkVxSE3Q+MSZK0HPwyDaIcUUNZYU6C3EktC7E1532xwZX2gy+ANgoPMcfRtJoK3vhx11H1bw9T9VZlOyZ28yoU45RFEJrI93GVjPzOpeXfGcUe4VYT5wrLsERPBwqskq2+6cY5oDUTKhkxdiaVui/OVX5RgHhjjKrJd0TvO+R9ZpwNO2M1oIHkVEcDQtVqibse+Vw1JYJtweM21NPs6cNCagnHLbDDbHRoQdnL4M36cAwwcRLGFVBI8OcKcuAheXKYrp7CtcVdRNBebfgnOI5mIaeyJiz9DdWrf4xEtHuoPZriyN2KrAAdrcU8HxKpOwxpD1KqvOwbMSmkRLvPZw2idBXYTOAXvzmoCK0F5bo6IvIiE+7iVYhmW7hHhwmTSRLO5ezkkNre0QxduOlU67PJqOA0x6L0pyS4cujTs+6EwklpgFKCL8ayzI4WkTf3esA5TnCB81DgxkFvj6kKw5U5AQEe2GOiDyiqRa8AmSGiNSUjCTwRChP2TBT1okIOlOzzklAY6e5OziQE06W/sWw5y1wTETs4E12CgNSjEO+NESzTXUVNVznDuYH7ApTBeA0IPsOKcZ312SrfIcSYvv3hUXBl8RSFXi+WEXQHyKOxx2ZZHB7jQqtXJjWKi6WTfnF0itbyNzZ3wrV9tIU28kxQojVU24Rp5R1EMG6PCS9p5BGTA0pydtc4FgdjRXAYwRbREieIVMb4YAaDWnDRmtHhuu9uHIWEfdcYvPBadP2TB2gBO+cMbRaTsxo7VrEgR8IJpEPgw7ATXebMWLdl7jtPxjqdsXW0mam9QRHOwk1lGgCrAjsm3eFJarJTS+3LlN6Vbt0Ovvgm6QUJg77riF5A9jHWhlKCG/cMnbarbRs2d7xctFMbuUqHyH059C5X6F62oSCOxy5Am47YTtji3GxW/zQG185H1XbJslTi5EZKCINqjMFFqnIhK8TCaBVpE8C5xN114X54J0DwAErv3xxMJ56HbnA+OPchHZTFotpMDsxBX7Y1CHJuMYKYCRqpUbk1ohgnQUIpJEbMiCC6gRTJzIA8WJU81wWA4OoLZnLMsdkYiSRGzCFPnQRgLuNMuxaFKdqhW4BEBNrJ4pVzug2EmhoDePrYNpXawMkp6k4fnChVAgVuitaGNV0AGK98FhC0vUFRvMMKAhOVJC3ZrFfWlSfyt6xwyiz6pC+wOAsxr0oi+yBkTWVTmA0djWBIJR2BEb4ycjuGEIpDuDnPNh14bN5J5PCZgBSXsgk2lGKa4YjRojEQHmExbVOoAKPbzcLJARRqCbhh6q7eKLdbwEdKDsIneDzm0LhNkbcc4qjn7ESHXeTLUMLaBIpJgsaLtFVUrgTEhAxl27Od4u9lsqTxOJhdGqdBRX51hOhhaqKlXQYYaRANEQaOAy69dlou8FqDVaXuvEyTQ4mUCVzUuMpDdt91PDm3CiUAjSTCG2lVj2XthUvQNoe7xnMU4IvfCfdEgpgYNshi+XExQdw6xZTDiUffFA55AJgLIPkCOe2WAAypuGsJc2rue8xyDuJIFKN4hJaJGkw0imu/HTTCzK5XK5cZiDlcVyubx0lyju5ekx9D9S4dHpX0vQyMJ8Lj0oiBy4OBRTbnFDZc9jhcSbpKHsYsxwWXPY5UyubxHOJvG4mbhherKm9Gl39svOynw4KmhN1A8QQxsxWin2AVd40S2b3IxmRzRvZA9hB/3myrQHsUwDkc1pcOWOGJAsTh/vJd3WF2ErWoZrQ7x2RUmCAAjwjcJ2U2LFGAOu67IuCofCv2Zp/rvZc+1xUYG0sGtODDMUnAZ92UI2x05mnWABfOCGrvE9mOD5Pj3xKqrNvCnwM5xc6u8T/eMBMkYeV8R3mCj3CwiTUl75L1DwKdighcNuQQsclcqhsPmQikzkkgfkYOcNcDoQ4DrrEbvmA0S0mDLYgtxjTbjeI1QqcnjeSSWeUCqvkyZFzXXoWVbjYiUS19u2UKPFBFliMFlA78glw7kAhrPa0574hhOSAfd3jXX3AazCDsAcWlyfR+5SohMNQ6iV5nZxlSpAvW4TDrQJSZgP2wArzrHt6JhDkY4Idl2S8ux5wMxV0zm6N5WFYoOgsgze4l0EyCZ2q6Iqod6752mEi6JCfjA64FK8UbyZUObRxYr7BhaNdEgGhjiMcpcLQRMWgrFeDdoAxNu8E5LuBd+effIMrVa7UnOKKGUaAYF84NYsHf5CsVxdn8DAez0hO/S9Y3n1O+r9JiKkLviXqQ44T9sZJ3cNETDzq/bZhpPLhI+NYYbTfA5wTMSJ03Fzhs46GwW4QApi6LZV1gCJFQUGXJPIIwEDBfOQ5BYXmigXKc1NNFMcLtaKQBlnu++c0xxvOKzEFsmCYIuzKCXpIM7+8TnGpDYUHtOFPaOpXevGP7z865VBZPyC43jhvKwv3dY5cpbcL8seMO33SikHGANF9QT2c25RpGi7iwHPNcDXiPuUFMWVUehl4L1CvBE2ccsj0eVIBAqzuwGo+wBB/pDCW7xoUG7rROXHAt2YVoF95mx0TodK4vbOJXIAN/BNaZSyzFKQ190wyAYRBQh4wMw2jZG2D9UMvBZww6esQCgPundtxTLXDWinHtiQPLnE8CHhyWytEgNKO0jhxmLlDskoShgsJqUrJfcjFUVDK3V2KrhLcXn+GsRk0jsnReT3xAlWgjxXjjeB+17hfjI5xCg6JsanE5zzWa0Yz2/hkDmmAFCFJw3DLkyHdGChiMTXAqhQEo9k3jBmwAaBqnjsYvQglkdrsI4cNIF4gOHbVmIATPE5WIG94P8A8hmaifHF1ibYDjIYEih4kXbWB4mLcgK4xHU7Uls1A4yV7baVvjAT0A4htIbJiaBquQIc5VXlrCDvGaQlWg74Yctc0BcCcfsNKZcGMtGtXs4ZxxyogXJqaZwdmi7XFST35898XdPSjTgfAxfZi4CkVdYxjZwELdvfEZAPeoL3++SgHp+4GuDACYdEa5G48RAUA+M1JABk0Ey9IOsADxliXUkDQmPJ0BrBYN4HZzvErg0VA10d95xbY8BcSHGc44Au04BMAAPp8foJSOOM2t0af3mLtlsXUEhkfOGniOlTIVoELLio1COmqvji5I25qRDjgwIisp0cTahUJbI8YpWSl84rYMIQDjR3hLIkSppxrs+1icNtwEC5YWiVRrjq1dgGtLRtcbS+fDO6gOnNWtBoQ4oOIHIT+LzihoaLyGqb1ick6A6944AXR8QHBm+VrUh86cX3JLpOZzlNESa2JvJUZJ26HY9tZx36CxLv987agDuDa4lSyLU8ODI+iwiVYZzAFhZ8XF7P5/cbwIJZUAWZIIaB5VX7rnKoWAK++Ak1fGQTTAHADPsZDkGVyuVwplYRawMGoNjzgLiAC7CpX2uXFEIVHZIn2yvSuVzeFyltw6QdsUj1kQRI2o45vN9bl4WJU7OAAADgMjhvJbxuN/7mAKY0GD5MRyPS5c3ecHL2y5et6XLly5vLl6Vy+uetPQdH6Lv4RfthszYAb7jeJ0YkUXyOCHux6RdxubJKeDKdrxcEHEG9AQ5Qd7kbC6GTj3ygEaemTC5dpsfgGEICYIvv9/bG0ciEUXAXa3AOnIxI0Q8qgHRtwUyRAjQZJlTikYUOiI5R9o6fkTH7Ea2B95iDU2SsW5aHFkqS7po3hDWdCAnMcShFookBg3kbhZUNvfFTZWVCRCs75qKV8bH33NOKHx5YBvxvFZe0BSQtpid84OUCu8Qeog4B7Wg4Bzfd40/aVxkSvLmipjWAQNnZXu9jBRNOBhqive6MbXxNSBqrlp+e/Gk7Ji/tbJCfwhxlgNvK+CZowxVHwPBq1gkLKKS9T4cBg286VoG2MYgw0TQeeMOQxKJFDwsNBKVdm6+cfsQaGUjQ2JjuTlRZRQba5XvHYcP7W4GLrAKVA9pioAtKXf8A2cTnZJsCavJvOWAZyw7tLKHGAOAEVAhq4cK5tY+dr4IYhW4VCB74uyidg1U74gDZCJRLXAGzknRquHhnGcBEXZrLWAsCtsYDwoR3lOp36s1GF1gEAtpDQJ3miJukKLAtlcXKFP3MRnMcub7yKRGtsGDY2gOJjyd7hvgXEKmYlUcuVZEnnNmx+cVA60rHd+M5Bc+Gzl8Ze6SujTNd3GSCoNtlGzlHhH9TW/W19IMwLH7MIQMkLVvsexhiF2CJ8mUMJGOi290wEILzJHeowvBHx7xfdeVx7hA2icNL8ZbnAkIow9sOoqHFW8TH6QQtGJN8D5xUTYO3hiYrt5iSkXdTE1XiTjczdQiRi2HPtiIwzcWps5MWcuqF+YxCEbAGvj4TCEC1DgRTrGcttJLDj3LK5yNc+1wrBQuYhZ7udkWEU4RvxcjjLMYQq+DKpMEaFs3gu5V1TR2twL8otMBveDGIKGlRnGWH7rqe/NwB1hKLCJqYG0ICcUrQalmRKYAao/3F+cFpWsEWEMrlt7rkgck4j1Lsh7MIUIVGUDuMHwTOwKeGPhTUKkJ2sC/lggQ4YyQlbgH7lrFWhuHUQl4uIPfCIDkYgcVRJvNlzVaraoq/lltZ2nmRreFGCGoAQ0OJOU/tDuzRgl6geLhhtxTrI1hdq4MHJSAIJNES4CtgDkHYA54ctIRm0YAGQoGkAWdqYMpg2kjHevJhIpZg7khxWxwXXeoig0Abct/nHdi4TTAGjXhFxQzF2jwcIeAmXiKpwZ3AA2IKPzMYXkO2JrwxzzWINDkeGa0bFZFQr2Lipt5KgpSfbH6IUCFNQWC5AjDv7RoXynZwB668PO84GZuwhUE9tGFokVoJoHy5B4qiQyhXXGcxWZV25MmTJkyYmTrxkXth9dq5cOfqJh6rMpLcKIGc9GwJ8LjJVw0iiicJlcri4KqAeMrlzebyuVyvQWSAVzt8A5vK5XEHKGV+wiOrsxubwIzECFq4CLB+HOT8Y6KuRyTiQUJXHuTCFQZHmORxFChIcxs/MxJOFnB85HI4ZcTVG2CsxOwBp0fjZkCvizNK1+M7hS+MZPe3Y/YsztVADSn5TNiFCpdmJg55AQ784mFVYEW4AW4hKfJguSaFCaB88GJW9zo8BVxq1BtMRAcPvK1IkuvOsTdxAotkMMFdEprE+HpFP5DkXUWeFds4NY+Wqz3ZXE0QKsushvoBxZRYktTdCGby2mFBRANPs4FFKTeoMmlgeV5ns43bQkKhgs4NYIM3+cyyfnNt0FiKsiO8NZYSgACad7uJsXE4Gxb21gxBewjl+hYWji6+xiYaIa5dYYggtvCMJ0QKlEeFy0hSuBhNYy9JEKfdLnbMzfTRT4uGL6JoIqnNZM2DiJ4aiI7g4qFASIqGhay7w2GGx08hlGS8Vp5O9lM7H4bQ2g0O5vAvU0igh+8xJHY0tui4hLKRCeQcHOUBfkH0dejRv0THDHpetMpkZdjgHVYL2J5CgjU7g744SJ5F2iY5E4uxywhiEnRfhi60Y+4P6xwyFG3ng+e2I2ATkmD3KxDckNEI4MAFcAvzkHkEum60PJkrpgnDCtuUEpO2GOk18ZPJmXm20HsGsAbJHiRQ84YWlhK0QTjbkklKodp9znKTue1LftgzTSoV8m11mxKNboRfvijtRUAymu8IDMY5Bd/uY38JQUe7cZeZIA2HegYwaFGnvUyGlKgm9HmmCDIswD+YmNVbk2VA4HPqsUkVoe2JWPruxbCczFbvSt4h2kzRTbDZzvOsJvsoMQXh65VYQYT35cQ33S2Js7lZtPkK89HccbuVimC0H4CmbypysjAXxUxWe1ELt+7iiNfRMQbwC5EZmXVN342HfHkG+Q4cOI+AvttHlsMDmshVUATlG4QTGEwCA2cEa4xKNr88OVcgHmmwjag1L0EPZyi8AtqtSdouX9EtTYqBnZkZN3bk1czIuBTyRShkpjzoJFxW7N0ce/RMrnybwrzYtayOfZyAdCy2jP7fhwmqFzkhMUAKXQlCYwUOlB9b98WwY4LslFvHOBhsBpwFcaEIiiEMLp3BtvYmJi7Ly04VYejCqQ52b3XOAoBDccD7cuJwheiQBLjhM1QX50uBZej5CQqjhrjcZjSPOSJG2QNNOLZsh4Ra74w7g4omJ2ciUCJq40Du3vmssu3kJ/rDhFOrSJJvBoEIkE+YYkT1TUiUjkegFINtRmzBTvgcWKaTyY4CNCBBE75EDaoqoYE4Zg56gq7Num8EjRSKK9iGTEsSh5GhMOopRrGIdsLeUeTjd9J+gnpm/RrpfGeGWZuImkafn5zbKSgQ+MIpABiVwYUcASLXnAHWOgQ8BiptKwSCUvC42FPYpwy7FO42PI3FE7xeQ261i0hQQCe7rT8Ymx8CIe2B0V1Q3+HbFOjCwdpEDBhEqsPCMwcJRbbVwjiRarA7AcGWfb/G5sV1Ut2SmQJFDq1CO2J/oYhXawj9zoL7YNvKv1+Dxm9bcqJgGJAAU0CJ9sYHkcCNJyayjBoGFW7BShcoDDAqa+AvZ37YFIa/bQkWGBwt2EFo53UwntUF9hrxvHFbQo6GFdGsVBt2WpT5Ys+ZbuBJi61aqEJ4HFQpODnumBTOJr0PfNvmGBKcOKJuZKHbRhow4AAc/wBuePxW5nnFgtJBS71m+tHvF4mBwBu6JvNIAIa9uiUsiFEJKcBmAACAGgMIzi25eNUcIy7vRWObgvOLly4LO8li0nvkrMqqqle6vRfQuXLlbguXEeyby5cuXLly5cuK9Hk6Honw4fUmPomTJkyel/SXpfTcuzrevbpfod+jANmmrNXbl2+hLPZzsuVfN1J+gAY0QmkJ6z6jx6j0H0A/SXrfRT9IvqMEQR6nQMAwjxfqmXABX03036Uy+i7/AEh0el6XqekvRZlerojruZel6To7w0db6TTfovS49IcBZLjvB9HIRjaEL9A4voH0mxUnbD0XooB+7139Bv8ATTrMcHSfRhkzVlL4yeiZMnUHJkwOkydJkx46T0TJkyZMfTINANGWNj7dAcAK3p26A+3P0GehpwX0HWfWddXRfoH0kvSe7+jvWFs3l+o+k6cTpfrMSZIAfRPSei+jfpaxB2+/u+i9EvWwwxL6oel6nWb+o/SuXq+u9D1lm/SfUACB0MfRL69evt6TYek9M9Xb9DfoTJkydXJ0nonWemdbvpMnWZOk6TJ6E49PJ0QUadk+jPRehj6gC++H0OOj6J9DQXL4PWbjX0302fpr6kDVsket+jfpLnbLlx6ljA4Ahj0vqfWBN+R5nGK6+erZSo0GPzDqek6pCABVexnMTodL9O/VPRfrvWZOofQMD1hm70mSHic97k6TE9E9R0NgA1G89D49T60Ij6O/o36TOzn211v0n1XqdD6txjTrOs66d+jr4GNTkg27lrhc7zVL8YUCXk6i2QH50mOi4kwDF+Gddw4R2IX4MOiYX2R7+MmR56hGxHLfI8XER62kQlgurahsXEgEvFZcXkL5c/47I38iekpD2GYLOWAOZrMYIGKBRdXXJrGDJVdDWGXYuJjkx9Aq6JPooJlWaJ6UvShOv3+t7gBHwnDmgKjSyV6vIefQZPpGPXj0TfofouX2w6rmuu3uHlrO6XFtEU9oWbyjJPyrhcBCKbJrImh61w8J4mNpQY80f/MdvnhVBg5BV0+NAZayzlBjUmDUMOE4HuY09YZaXnrN0WFUsFu8QGAPIDD7M+wV5WDs+Fg2XAeyUvPvipbcmWJ2+MJoUi4WuPvkGLReaSTWbnYyDSOTCtJsKj85jisQ1VWn8YdsKmdkK+TZgFA5YDQeCnBRU6xCRAeLi4ocfgPbFJfCAUivzwZTnWO5Bwc83FZx4i18eeeeYyf7fUL1vU9Ubb24+jUFl1xnJ0vqFsT79Ljl6pDQYAKEeEy9binpT0b6HqTpvDqY+kvR9b6BVe/IcgNQ6XGnL4AU/GTUUQG045wX70eMGKLTdhNoVwnkA0Qx5lLAfgMZfPNMRSb2UPmc4I/PGaQGte2IKl5ir2YRrBAssPjDLcIfI+cA+6KPZSBvC8hoqRQP4wPNzCx3Jx2uTFdG6sTt7Y4muo5X2nfOWYpvs3XxgU3cNpAL2nvggAsQColw2EKoadMvs66ZKNywDBxqGBVbThCTw3hktw4W8JdysHRiU5wQqK7TF6AhzfrnoACBrx9B+gZv0iUOLxxMDp36mjL0Pr39BPTOiIiXA4AMfqqGFT6e8L3TO2PoPUnFj24ue31n1Us+p36vpTGFfGMiibOZ6D9TcvquX030vovQC36LUQZl630X0rBqdDoa+m2MK9hZ+mG76XO3U4631PS9b1P1l+jPoOFQUjOMnDfpp6bjYp0JLrft9MPVvsZPV2+ia1j130mQ6Tq/Sn0D0T6kyeg6J0DJidJ0mTEyZMmaspcnSYgAR4TZkyZMN4V3bl6HlMmTJkydJkyYGbx1IKq0I0g03lWLDNSokfjNdRFvIhq83AoiyRHaY930UKE1uTJjNKu6GmXAAPJIszRN89DF1lFoMeSZmdjKHdk3IVBB8RZk6DSNp7CCv5uVlZM11g99bmVhvRR7EZx+cNwlIQrivRMOo3KVEkQfyyZNZdSvAhnuZAsp0RO2KaI8TBuVKGV7OFOgISLxMaRX7xLgOURZlnBcEA4n89EehITJhDAaQ8ueczC7cL6Hg2lf1ky2SEPHA/nJbUM4hxie+Bl9CNUR44xmRFA04EUULzlbZ67+wwnBM2UExQ7nWdTL0uD0uXLlDBa2scTgb7ZWEecsb2ZAFomIDxO+BaogA2lwCvACS8qYXxYPKAITAg2ZFuq7zuMSkRzPZwuA4pwMZjaoNslx3Ymisj5YYNg0wSS7XOFN0mmP2w18qgYQOV7GE+6F5rDeGFiC2FxTzkYlTaFZBG3AO8fmI/fEpRIZa03vvKjqpYootMBOiUyyPaYG8AYV7qtlQG699Ysi8ZeXJ4OSBW4g1mJc6BEBay4xmpZyaU1smRM+COFnY3TJTYLx4yAkMzL8F7HlyslZBRlTtckcmx2GLwZuxScopSq6Jmr0Sqij4FTGJOO48pO3iYOo0lQ929uwYwhBdyhp2JhBghKhtwvHNYdAqSg7JuP59kmkfkOgsyxC6M4e5hjGrVziezcs7yP3/rxRFEE+CwR3Afe43FuOUiAxGfC/j1xBerVEt8pwYprKuaDOL1/Ou3CCG7iFG4nZxpstVETIu3jeBf6bSE8TTAwG/wB8D98n/ZoiEL4XCr8q9CCHM4w0l1RSG37rbLEAzJ7dXxAw7oRj5EdjJpxoFeCm5U4ZqwAqkwmjUzROBPewphWvQCz1NpW4t+qYUKbRzwebCrnukuEmp7g1EhsxCaSN3jMy9zSZ5zkrGS2+kBphbkhEAgqfBcABwuVHRXbgoNt3N9ByAYsUrRauzNP+4XkFDB9RNB2NYeoDNR8x3N8YCADgBU00RyyLWGzbPxknijZXuOfjJ0dH7dmsWQ0G0gKhMFnbOX85gCPzbMGC7lwtjdBQMCKY3RSXStrua74BiRfiIMe+scllLEsaaJO2FvIE23HYECgb0g/DIxn3Z3Fvxg5FGbYgGLd1LI8TPnBsGXDYcDFps6p3lH7YVykQRQ7PviHgAgiHBkSO8C6qb+n2wkKFJBdI9/jH43GF1w6Uddjm89t420V2G9d2cEpjxGsGFG2lFiOKtK7bdGJi+EMfQet6PGFK1DQvZEYD6SdFVutmP+/N9gRTG0Nyl1kHfDlESq+ILgTTqW00KNlMKxASxUOHDEZJK19nIlDPAo/bFqQmgLCPOSR2yFVkTkygmu4COEVxhQE3VPZe+MxjIhDbtx3PZ4O5dEuAtKkaHgYI67Ot+V8uTjkQlnlclt5Awe67HBNACwHxl5AwXHbznO9IIp286YHIGhXYde/HGXQrMPA87Yh4daWKeNkMf8xMKXDOdZWLgEAHwbY1YeRtpb13uK99t0DxWXG1FHaCmow4RcIQhLARPKHnA2aW0Jg8GGttWKXkEOxDAILorNiRv1bxbCPfAS5R4JaLzM8LmISSju7biySgKZfkMEcUTlwEZp7qYjKMpogZ4witADEr5mKYUGoACRvtgTi9zKwdzAmzaHEDG2+THVQa0QuuM28mQEQxtwHcA+Ik14jNsSKoKCHGbZ4FGggUdtwwxgGNsh7msTAv5xEbircCGJglpC8HExzgeEkgmuQwCi10c3XTXOcIigQGtUIjMFBi3QC37DN9TcsS1jxzhYOss8bktBBioAZOQM7o2esIw4ixwhTwcYnHcM4mInWjAu5xHjr8i94YrXU7UVkES4iTBAkoKUdiZV87ToPAw8YH5+X3cIqAJjTiPOXBMqHVRpu4LVQlFBLARyQdq2oK7CXnCNaILAq5bUEr2QAdTiZNVYk6wDlVtdL2fOaiIwjpIH8Y8V/3KEI4AEQpQhYT742SIoiFbA7G8aZHyEwEsgAqk1Z5xoClojE8j2cfBuzze/POAEMDZobFcmBKZIwRJLiQqqrcZW/zkoLTlmTuYeXBftD8MmKUABC9sNTNQpxsmxFSGI5vtFPneTphptPbtgQKEXJ++bAL0K6+HthhwQMpc7wiZAwmqlxY86eFxkau33zs+J3gz3x2zv5zgCmf3ZA/wHo49R6d5ely9S5cuXL0uXFUQZ74KAZei9LlcuXLly4xxyPxe/tkpQRauhXv85cuPBKlH2wEB8BDL1vqvqvUy+q4OX0XrfTcuXpfVetmV9N9d6XL6F4dK2YmvS4dblAVcnEUUUgDmYnVVEIn2cszEG0TwUxBUAwWE5cACUeHL1vS5eusuXL1vUZB3R6XrcuL0v0m9sbr9SfSHq/VPXfRfrOcpwjCpdAKcGJGc7MBi90LaoFu2F/G9Wo5xdRpwen9hfqn1myh9F/zV9B6T6F6XLj019B0rPYX/WT1Hpn0QVHhjmr+uvWtOJ3xWmvR7hpxO/oCfph6PoRtv+B3edfRUMt9Y0NT1PHOdsEasg8Cd8vS/oqfQUJX039YlJldF8fXcn0b+rbT6RS1USzSxft0PQbN41PUdPkOZiiqhO76BBTrN+m/WE9F+g9Xk4eo/TT9E42Mya6ovpn0zJkyeht6piAgIkRwMnonVHIOs9UyZv6E9c6hkwifUMie+w/AmImCL/rxmwXmb6TBOGFizCrRULnZ1Cz2Op0IdyiuMRipW1OznviHBWPML0TE28x1dw/nosqA0eXELWKXA9zIdD0O3nxhKDCXmKLiTJxvHsYHfg+cmYKqaILhtW8Ozk/bINNDV4xbQm4cB/nAZfAkF+D7ZMsZG5xpqHKjl64IXB2RXHK6WAWWZx5OYRiRAMSGueMdGNoC6U/jGJQQV0bYYCnPZrsTJ7BYXu+PnBhYiw21cHIAgIu5hq2BJCvLHN2VPDueTHiYa4lH88RwS2cr2DAvE94XHyyn/oVml/EYwjSICUfJcXNqJFXRCeBmwOG3sNwrmiccMav22MIUHi+2VWHsoSOOmtc7iCD5JibwZzPuk7OAkoEGwlJjJIU8sRbHHGHqqtbT+Q7wJA0aWDo+XNQaFDlQ5YZCCcRUfOaJ8nFBwwFWAVXF3Bv58i8mR3+5ByCBhjynv3y4pr5CBgopwbsgePZwNYQp0YMHK4CXpuFHYRyvCOzCAiqMDAnol0o7GDG5JI3dswxtsq8N5Rxck2ggHYXS4PsQLw8DEnKo0ycaxShwijDR7Ms7YJptxbg3t4wSXDd9wHJ8jguAVXsYMos4Vi1WZJS8I7OUcHQOyc82b8ZMSijsBQeXaGLrfeJmd0fNET84xUCuGa9lBnZacY0gPc6hdGRfCAqNnZxZ0rQp5Lh2aDwCsZ2ecbaJIoXZcUnIOR1jTagCAW7c1BcHOUtIefUWb6NlnUwCXuCZozqn5WYT9JYVVElxtjCscm1a3GI4FKWR77yYolGyrD2e9uRKrj7nn9sBUNNvHefYXXQOdslRsH7ds5yw3Shm2ooPd7GKVDBzdAwcAAgGNbIrTmMYKbXqAqAMQ1jv0SuoLs4W4tgvVFsbw2zHSFcwMgbyvENsdQYgrL1phG+TAThBH20w6BEneon+sJhzkvcjdLzcMAC5W0cT2iYp/JF4SLl6ImvCActuhTW6hHxh+w9qNlxIEC9kgvi2YkaB8oxSfnNBALDg0YL/AM3UKPgC5dCVYuCeThlu5nKIMvaKfCYwhkTZLvwHIw8AIpFwD4Pi5B3E0OfaJYe55Yl2gXKhEwWYYKVe9DKSh1LdEf5Llv8ALiG23jbi6QXtNhiCKaJxD/BpjknCENvYT2cIb4iQu/KmANFXc245rAX+3bfdGApa331lDPAUjmb7hsVYBkzUea1/A4ncKgp8C4y+IbylMApi+DC45tzQjOd8on8sga82ENDzDlKRneDzU4/vYRTrV4QM1CVEj5BnOBWPNVNL5UMgDrumGpghVuJQV8jmp4xdmqexOCDgoGn/AIctFpDkTYYCBVEh5DzhRYXKNbDKhhNEwi+bh+iQG7YcGj8t4u5E7/8Au/hwBUIntJUny4gds5pEMFadS27djjDDYgpEaHwOSCHTgql9sEMbDVubw4msfEGugqRLgC+2dVa/2xm60zuBH/Zku4GmcuTfKITwH7ZpFLuIocT7GQMGIJtkknSH5MWPBnNG4sHZ/CmvmmCLUbL7k/1h/kOzFBTL0CuH84ogFrho0zkxxjyLhU91HKYbBOIQgCe+DVOY53STDpbSqKKmTTpoOIyjBU8Toj4ZhfuvJ2K6ckw8qK0SIkuajhkUHZThrhMiAQJs6acfj18BHjnqg5NEKhRv7YCWCEKwspYVOvG3GGD5OIebiySboqXzLlZrdqzFu0Ftkxr4lWSXu4dDrQSC9xMuWJA2acLUcUDk3ZeAuNRHEObmiuRJEBCOLmLTYMCpoTaEEqWLj8BbuSjaljglQTtP5xcNE8tzN4kviDSvzhGqCcjiS2uKSD5ouvZnby7KrO7eXIlGQVWHcrjE93AyJQgC7gsuFZ6epavdze2wAA8UbkbiganxM09qeVDtjRqXtaTWMusspUxBESjle9UeWmO2GCGIjuYxwjbGosziaXAHyyDzfjry198qlukH2fGXNq3CbcmMUMlAZzlx9vVA7Eri+z1de3vneAIs10n85wk2IAr5yeNxgPhjRwpAC4pj7+V024u2ytly9s74KkIPkMt7XxNRuvxiAgIkRwMQhzIzQhDgmBmVWBcBQN8wuf6Pi4upZRWN9mKCKyZs7jmFcUIxtkc4ta13HDxiVurYbSUzSUTERmGzhoxB5oZECmaamV8VICHjFQoU4wUARCEi8uaXXETuYuk4oIjxndQjEr5wKgIoomBgEcMKYmAeSHOTj/Ah0BABwRr4wnUcMq9h3MRWiObkbeCOCGTwguaH2MXAZl7W8KrnXQ2+cYheE4MBofixZHccM6NqBeZne714757LAOABiAgEwhqYkcOgBoGGkhlDtlPGUvGUy5cfQdApqTt0diBO/pGQLPBcAsXxIXEoJ0Re7g7KDmi52u/OTBUGHJdmB7dHb7l9scoDlpvQ09t4OqA5RxFKAq0hhQAe406XodKWXeXLly5cuVuX0X6Nx1ibBd1foTL6t9b9e/Uv1jqeq+qenthjjvhwfEWg5uMEVR53T7BgflGPsBuFYOsc00q97xiS62oeHGaXG8d1rtxpbgYFLFvmYIRB4DFkn2mKFrYhMdWd8sTCh3Iby7EInvW5etzviFvV/SaNBfdnrv1QEOKvrgwMaeyfVf0l39Ac36L0nS6zt0tsQBZzkJ0ygXKUG7EIrnuwEOciAQPZlRs1I1ZMEUmRjczmWQhvOy7xN994RaTgaXy4CyODxh1gQDQYY5er1eh9NPps/WFhefpLBfRM0/pEw+hMmTJldSuisHl5eX01l5eLy5l5eVl5WXlZXUF9FonUmEkyZMYdzBsku7NGQdzPkZY4Z8GQp+9lPZ+ctcMF4/KYWwkJRG9srU4VoyVuvnT3/rEf6Xxn/SzYG17RgnH42T+C8mRv+hm2Px0xsH7xkIHpqDP+qZ/0zENPxXElhBq4oMSQbPBcvgy+L84djV74+4y//Zn/AHs/62dv9wz/ALWJ8j9zN0aeIz7TzszeHw6YJw/wMT/rYjKPyMecX2YAT9hm+ftMQ5L7M/4TByn4WHb/AAsnz+HkisfjgopE50xio1hrheftcp/Rw/8Ahc/5nEi6fM5tTg5xw/6mQ/qYPIt43ggT83mf3gCn5fj+8r9rv5wRRTlOp0OiK8s9zl5U5znIQRy6yV5Hvk2oXwsnr9/n/V414fuyKuk4wwj2NSGAPtTC1ZdEBnjADdzcja5rZ/rA745gUgt11cNdbWC7H4Pv7e+OG9t44wIEJx8Txld4+I9/b3wAJ7mu+Pb2xDDCTj4njBFWt481fHvghXN7fb29sStSSceJPGRw3q8Pf298GQ1Hs9vb2w1aaTh4njFVVdu9d1/nBBcOkrH+MgEFCX2kyAtiq/P2xZF5Lw9vb2zgOMPtnt7YFfnP3+3vihPtnkV8e+KN/qyf1i8oBNctB/GLjUpOXufzlKtfPuX+c02/q2AX9jFhGgO7wBg3C4iSu4n85qPI1f8A078Wrutt/OBIbgnamn+mRrSTfiD+MCrgnzCfzldGvvfL340XY99nK+ffNwzVv3h8+xgfAcdziTl9mcb2NMNT39sFR2c4+b/bk8/LixHvfdV84r9rfv3zgNASPjkOfZkvRJN/Hy9mREdsZ8Gz593392aNTT3N8b92LtUtvHiQgPb22+e0M0CaBrtT39mA83xrxTAmnBlXbUd7uH+8Gw1sLAaEwQkKp2m3N/P26uP6wHv/AMv9ZxZfOJDz/wB/fFmouee/98AJhvwEzAR3EzA44pmvK55ysBxcf98iHLE2Hkc5mwfl++SbeZILA0rZPsHjAjFTvgcIv3uNS5l8DaWnerJcHDbAR74Vj+84F/e534pDtIjiSP7uMzTNFxfKmAU/bz/iYDxiUV+UMDgHuBMD/r4dj8fOP/Tzgn4uBcfj4b4TAgGD1oFfWLT4/wBrAObSfOCs50LG2P2wcY0YSIXSlauLKiI0ETPahYflVxNRWA93GMt39vkxf8lVV5gGCuJg7eaUyI8wobNsBDBu2f3lalVDURxzMFDER3VghBc7JGdNqyYku4LzB5mKntxhdcpU4LmswGlfAhbIualhSGjyTELqANcHTXCJUAikPh54xMO253pJ+3SuVwh3sssH/uMMWb7HMf2XFchQ91WAe7htEFJiHdyRuJIaJSvtiV8DQ5A3fe4jRhMd4/bBDb9eK0MBkQkGt5cuXo50/jl0YgwUEcEokVE18MzPqtPh3mU1OgBZC1gdeBq6WuciC+ACVMJppObSOXvlKuiLzVw5qAzJVPwFjgpepwgO57ZRN4PICH84Oc97HBXLg40sGUWG5MZk+6e6KL2w5QYcrw1aXK6qkybP2TBrUIIKHfOJnXZ+4sZ7XCmFwceH4xsO5+7WVyrUpRyc2RJHNfRoHuTLjFUrBJ4wRdOA4dTxLsW44hV4033tPGJRpGgrVtk4wtgYxyMPs471Apydo2wPDDAqINE5N5c9jl+ce5rft0PhiSbQ4D8ZEe12Uo5sBQ+8tu2CO4g1A2JfJUtJ5xQkVTVTS++TxXa7nv8AnEEo7LTa6925xpBPdUVMVzPBRpPB0JccX9hxVPbKXKkcAIb2d+cR64ip932xoMJLVHddxwiI8KxIuKCWAfZHJGAIZF+w6Zw7OLTOnXgXEqkbd3vpxnCTiDR9xhToH/3Op/OPWeoxnX2F+xi+wNAtyORmA9wqFxQKlNVkawWoiARR7S7y5yEhI6BsxSDu8go+X5wIKKCanaKY2iPBStdpiTePYG7jXJkMuZwF4MDDqQsA91TLjSAqKCsYHFJVT2TNP6LQjbgFN2VkFRaYULBao2qDXvkcSeKRxkrziTUmsGUTNaip9sUgy6BrAJADF3u/I10CfjFivsuoZmz2OyGjfguPSZPCNj4yD8f6mNGsWBVxm7EgIga6vJikWhVRo5LCO62vyDKqtqPYYUlI29hpjbNrdFJY5aiykhgZaHWDj/7GaNFm5xcRhhxd9c7GRyx3dbzRIkpjzQaEEQWYYRhYuNz84Rqb54sKHec4gAjd0iNBxgDaqYq78VwxToSJAQb+TBkigiUiNMmIi6cRv7Y4hgsUQu+kK86vuWOGGRqRaWk/1gbUTy7Q5bX7CQ/cxTs4KDsWPyswWwGuK2vNKG795ijICNcWLvoYLpNTF54o+RbolOXFEg8MPcLqLilEfjEcaWqgAdfGbgaGI7G5rWvnAa1nOK6wP8VdsPJTjC8j9xh23GqF8bnvkhSma+9ezj0SvYOn4bxxKJ3ExUPB/oxgVGBh8Fvto1rXlxl5tGC1RfGPMraI2hwmCCsIg44L70p2WFO4ZLFjsSNX9mNGLErBOXJICnpFgE5o0MhGuowTNqAjgDoDHf8A0Z76j8mRSizeucpdSUDp++PEmDIVJS/a4ER9BEbOGuwQK8ODeKQlYB743RASL++J3MDzKiZoSTpOIx2y4qsiODays5kwxVDZMae7pzvn/bin8PRek9HbKN7/ALLMty9Ho0A5YflwJHHS1ito6BHcmxxaYqFAC/GCGaymU6anGXFzqdNZrNX0sHe3+rBB8f6sQ8dNSTWakmGjIeMIOaM1znfBRXnJ2MMJ0XLmh3Ip9sZMRKQm9cPSnUwfC/ejHl9VxlAurMbkkp1E6Giibpg9XLnPJly5csOo5p5mfs8Oi5cvSHS5cvSIpS8v7wD8ay9FwdaET2clCM2x6Lly5cuXFmFSwLQODOC9kj650cTwZyvD+T0bwxaHk6w0DwGXodbrrcvRy5cel63BQ/8Agzg/Bl6XopwQtjSEsfvjxGw1NKAs6uGWcze3S9RLEYx9ul9TRP8Ayky1SJOiCrx9IcG8v+iT+MTGc4lUYIFxUZxWGbbQMeTpfQ2azxvoZYjt+431PUNEO5LPhxZz5pAJROl9EFDwmSEaDfA/pXrryv2Uc5OkyeiYGexiYwpwMroZGCFe/uZWCwKLlGKysrBZeVldEeisFiugwjlZWBnLKw8vDH5wPRHKwJgIaCHZBOIqwP3B+7jjSpdmTJlCTmfzHEyZMmTAiHQ6OcupOgbvD5JkyZMmTJ6BOgMYYag++UxxMrJkysjkydEysD4YfksjkyZMDN9LgZEIYUjHcy+6kzsOTJk6DTE5Qj8BydSZHJk6J0I4GP5c/wBsA51+cPS2az7c+Zh3fxYQBGBIVhkgp44NT43mjyvP/WB5Ke5/vP8A3/7z3f5/+83v4f8AvKhMR00R840gPvy/3jdn/v8AOEXBd48f/j854/uv+8bZDffZmFniMM9YRarDdWNzA7FYkQi+WfjJw4Fpf3ifxkqEOxE7/GBe5Q8869s5ORPfX7YsoPd5x2tJztvfxjFKTmvb2xrU9c3+mENjInYHYx5KLrYh+MHSv5P9YRb+Vi9g8zb7ztjaPf8A9BrIVaBBcJ/Q4p08fLz+MWeEzm/0xEh79vv7Zd4l7V8/GaNvft3x7YezddJPJpxm1jMJz/WOsIxm3mPtj50ImV5nbIutpm3Y/GFxebiOMgv7x9vbCV+/r49sDRt83jWDZNtYqDZY9lPZ7mbLf2Fa51jwQKgt86zcRo90XeBsfeJBF/JgCVbv2G3b2cjiUnbnu/nL7H5g+3tmwbvMSa+MTBXyt7+3vmw66zT8O3uZO7965POFd6e+/wBsETAcV2kwokgneXj+GHmczh+2NAD15smjArgbxsz9sOOfxbrRrs4aIk2D5nFR1v8AZiE2DneO8PGN/qwHN2rt9sRTd9/Zi/8Aqf6zhbF3dP2yuYfK/wBMjOZvRX+Mpsn5KHPthfgqnNH8YB4/e/rGnGWVAkBgIlBwxySG/W95GD722bvZ1pzYUTuxwCLs5iYp181YngvjAt1fc5NtCu860wkUe/vdy+MPbDRldylEE/GMQ7fOCJY/uyKsTJxd884R7YJtv7ZVER3yZor3jx8/f3xiR/8Ar74FXzUP+8mFnw2M8P8A7/ORyQid5r39sZLuz+X6l6GIi7L8ViwD2yuEhUO+ASAVDLvBz70P5uKKBsRTEWAQEAchx+TMAqhlBpttpxRHGrCzcxRHbC9jGk8EOZDnI3HovoAvWAqXkcNmXj6gL0GEskrH5rFyPzAcYyKF7oTqXLlyuXLlcHJN4f8AGS7cuXCAOAh0XK5XouV0DhBe6H5f2y5WXLly76C7z0VfbLlwXEi7O/AYuXLlcuXKy4o4aJlwcraJHNRJb+F/fS5cuDrLhOly5cuGfCyfd/tj0noLhhQl3fws5dPap4p0jibOGWrUDNncPGxQu+xhP0INoRWYdz2Z2qxH7GGuLuFTgwKzFFwkpcgLkY27hciCdPdALjOySHuHd/PqMfQZ3wU/P+h9OY5Bi4j6L9AyhJxX4TOT1eM7epx6HuP6bh9Hfp39RhO4F/H/AHj9O4azgYS/Mjj9Ge/UzwBS/B/GPoOplCOhn5DHo5sXJh1wIHQxW+IwFMNlTC9pVKkp7OUXrzFL8znOGUCNju8TwTCUDqiNvKPfEO4wYVDzHNRCZCgB2hgDbSUqt75cpWoquTpMmQ9ZjPct+DonWdJky9DnDcafpU0u5ZlzvhOS4foX0p4Kf5L/AB6gN+sMZB3V+zj9AzVU/LXqc5ZQ3+QP9Y+pQnUOpgJ7qf2v5+jufG/J/rF9I0oaabu4Fu0gfZcekBco1YYrlUJQ5Ho5MmRxiQ5KA6k+iZL7v8b/AB9A5J1ST75T6r0QPu0dFSQ6i+x/vY/UML2d/JmlDnD6u+PoCDE2g87xtxx+luc9BeCj+P5+kL0mGI8un4P4YnqcM38R/EX+cehk6aP4wFp3X87yVMNLwIWuCvEbxBjE+cLs2R1CJOOMcpPa1qQ2Tu43MFbt7vhxTk+FMarQy1wiT0MU8WY+B2bcpEGAIYdrqE198bqjEgUho5XJ+dZeGJ+cSxItmsDrXN30Vy5SXv3J6X0OcvS5c2yJwy5cus7489QPTvg4IHt/v4P4DHLly4UpHWXLl6Xoc4PwxPeX848+g+iDu4/sHD03h9Ez5eP3H+MVuvoJ0OhgHj5+bCvo1ngcRGQ5KC4koPNwBgqZpglzPy8NWi8b4ko/l4gX5uLJekLGMXg3rI85YhHOP0YAJo80cEgoQZWsMKgoAQ4tPbN5VCJHneK90miMTGIwOB15r3w6MjEHQd3LwJoT5LcNYuhLGaF4HJOB/DUcHHYJ7uLI1PfNA92c4NSfziDv8ubWzZFxpMSEOG/s/vFEXDeCF/bYULUo1Tz/AIzEqH4Wf8hn/N55vxMFUKFunbBf6XbDW6rOGU0hoSc0Dre8e395tnbuGqImHgbHEBUZ7MSG6OdM8/42efEi2IWl8Mzbg/7Px/eBCbzz8f3n2mm/M/vBHWd/78gDNPbOLziiHEPOnGZ+nf5/rGwKVftf6yFutRL4v9Yn4dsfF/rEoNfO8R5/PgbWYNXdHfF8fn+P7wST8mCyby8/H94MJunhzP76Qj6tRwHDq/vMOfBQHRhF+Tv4v9YtUkphcAPvjYOX3xdH82FXte+X8rjeIMcRQebJswaWYI1ga/hxgPYHBBEXCwZjlyYXRkBMxqZ8UeueLPxZ7Y4bFGvZyl2sEOzRJveEhkKYCwPdDEBI08TGiuvdibeh7sTTv7RuIir/ACzgCS1vtf6zQvbX7L/WcxqXlrL/AFhajViZRU7k5ZEH8iMHgqXA9ZM0GO6eR+V01ids9hxPDFeQwiZzkUhMJXfDAzo7Ez/gZ/wMSKGexgd04QyzW/mM3Xb8GKtaPsyGQl0GsoEDkBZ3P22bLv8AMZ/yuaJ+zyP9HP8AmcDWfg4pL+DgJD8XKpdfGuS4dICM5PzjOft82X9ri8v4+aj/AFcYpyk44rf9Xvna/a5v7LjXNo8XtzWGo9mH/wAngMYBAINDiFX8XOfu8647/wDTzuftc0SkV48uMW5zMvDOOB8fh46ez7c/4fNAcfGuGmfh5BHG2+bEBxPCvs+M737Pvijv8fA73edcXVfwcUt/DwZp/BzQLnxwcJ+Hkld77c/5nAOPx84j8fNJHkAQjju7/OuASZVmv4eByfj5S3fzrhs/183X9jmn+DiCKLeOHxPyc4L8XHne1rlufwcZOJICQ4c37fHu/h4Ckqe3FP62aP4uE5o8TgcgT24f/DZrDSe3ACH42Kc/jYzV/szj/wBDASjwxl8N3oXjFiVPEZ4Z9mAt3+YYDZ+DP+SZCcfxnss9lhTdEc11+SD8FwReAPuei4ZfbJNHjKGoYX77yvjHZtvEwabmoDv85XxlfGGXNMPyzNA9mNswFC8/8y3NQw1i6NYNqaFcJyOKWIHN3ATK5BRu7LGbT2TwAWuLYGFDpHDR6qejSc+OcZWUxRQLOMW6g1hViZCokSkUO6Oa8nwSFkNDC/OncCCuEia6a4rU7cY2XHyAkdfJnMRqLQaAnvvLl6XByxbpmuXLl6X0XFAuRPyDB6XL0vpvQc28ifzrHV5/0Oly5q5uZepe/Ucgvc/Yb6K9L0M2x3/wXPcAuVy+q8Gb63ChCugxzyP5w+hekAnPfpMJUopPkyrkh6KdJjiNMt/GzF8GPwZWInh6mDZKO4cV0UldXXs3IOFhhmXXUJCk048TMAVp78MzaeQB1UY++Ti6K6T85QVC0I3RxXQuJEXRlnRpwGnOB3fLTT2ftluJWzusu4xQBNwS/OSmW/3scWkSUd4Yx9CvZNaM5ADFhAFCeVDKkpUpAe/vvDBwquh8GJnLJiYG8ECclfzhMnRMjk6JkxMBzhuOLzkxMmsmTI5OiORxMDJUlIa++JR5/wBHI5HJvNnAybyZMmTDd2Ajkyq2TJ6gwOiZMjkyOTJio90vyZuO1X5xHJ6BHojiqN1kyZM1JyjL0uHPmsj1TI5OiZMmTAcDP+CfY/3l7Ay+Jl20ZY7ZY4MsnFwsw3+4zFx1vaEGL1rvGGztccGRALl2lx3uN/8Aec0fz/H3xkOBPYTecaoB7/P3y9+QnX5wrtgHC/vFBCHm7x85Kq9wX7++PC+6TOQm95XXvgbtwkbbxlWtD5VyE2i+zrAHN/fz8ZZfgpv29s13kDVefxhtKI8XTH2x7AHy++JPNdl4/Gchxk2869sKi7CVEYc6xieN7v8AWOsZ55+/tnOv5X8GKFQMnLERUyVs7GYooa83Bp4O5yTu3xm1ZxZezeJ11nMfv/WIa+TAQpq2K6xaCLzTxLhUKKWL2zUIs48p/eRUDiXyyYM2eCkF+LiYJIzZvjjHnAINU7i6yaK8fljqEPKvv/WO9NF1Xtf6y7ovdXgX+s2zpxqW0vHOOHM58G+uHz2nP5jmg2Aj59/9OPD2Xfzq4vUnDt7Wa9nAOM0jsjCfObiefdnc1icupSP2uCgC0WnMLnHqXh7F7Yr7HfDXEVitTde8/vFOm9tvef3kwz7qkoc/GDY0sg+U/wBXBSbF01qz+8AheBdzsMoZaKNF1YbbjxnhB7XCE8HbG9xF/sTITZZ2wAN3uDyJtNdnlk1+2RCk1fhzPmYgaT3zVtfGZW+1HhdvQLR3maJi9SBI4GxTXN4vIUd76YHX3q1hpuNPK/ORAvZ4/qwZIeRY5KYO5WEJD3rLIl7H7e2RIeb1Fde2KVP/AE9sczcD9i9sB0Dhbw4a8GR1Xjd9nth+O8+3tjwR+729sGgASoLx7ZpnY1j7e3znD9dx1NYayMLfj/TkNtx+ze3s5ZxEvnNv9OEy8hZ8LPw4MCnFYPGGIGBdfa/6chEib+z+nNL1BlRr+2HqF7Mz+7HLihze0FPi5YmUECweMu8HLOOh/qM1CtGYlqlEoPI1cYw2bOiF7mWkpOGw8j5y5dVM0xQnzhmBW29jlwU+SkK5XK5cuXLly5cuXLi5cHIN3IX24YuXL0uXL00ZrNYwSpPuT+MXKZcjLly5cGZcuXAA55HTOMILglfkx/8As4xcuay5crMuD6QZsP8A0csvIyuX0hcuXKoe2XofDzo/GJHwP4WXLl6By9FyuUelx5znn90MuXouXLly5cuXK4OGKH7o38s49EvRo3Cl+BOJgOV1iWAMyRKrc8GvxiZMWif+j+MBagxYsFXbVqfFxjTCfA7xq/YPskMRAvy3GftgQYY3sbOiZMmTpH0T0TDKC0Mn0zq9DFrve/Gb1npnoMm7YB/COfiF036gS995M3kyZO7z+8GLntn8mNiLYy4wFXI+iPWZvJnvEjLPB35b1mTrPTMMO5G880PQ3kydJ0mToZywwFXsn/nx1WMyZ7ukaW+cHorl7Yiu87G7t75rOWf+944IXyp78bwhSfz/AGzy8Pn2e+G/xPbCAiY7FhcAj3tLhwuam/5DBqAm98sQEIC5A44wGZEdWDz7ZVMrkJ+2a6Gmv/nmq+D/AMTCVcqbTi6v3xIvlmG8vycNXKzV4Mwzl4jOdsSFoLucy4O4jd/4y7C37cYEPFtNFmCA1t1rNlwO+cEDXOZiEWdf/f6zWuzI03ZydhjkEDddvOaBw47riiOaXJy7JxEHtY+YzwhPLCymMxOJck5/ZT+MdurPbHZpg4BjQo1iQN/jBL/HEGV+M5/D2xHu58Yd1H2zUeEulcGUmXAjnOq/GDOndZiUW3wZuBDoAtncmE6zbsTtK+KzXNMbGDivbPZi4gjGmD73QnhMITDZTiDPKFZxw6xcDOF9jP7zieA7eUP5wrK/GWZqBb5Ifzm+d2Y4PMOhkSkzJPDe+BcAqsp+XGcX46vvP7wIZKwkn9nEjVJRbuf3kmBVDlqz+8ml3J395/eX0AC+X/1iN01N/HBFP/bMNi/+jEImyV+OBegGX3mDo3nl1xg6ThG33mdnh58c3EMdUW6/KbncxAW9x4nRSyZiG7xWF3YKlYgVj8sC2opzwYOQafv/AFkhcQvPgv8AWdh2CLcv9YB3pK14PhgZohY3vnj5mMmJFm+58MUvuYqPM7d5kj0Q2Jo/LT0XoYId7bX/AI8ZejMwP3fGaak48XLhjf8A5cHFxAFV7BjFzl0SeZbMEQnCXqLJQO5QvGBr0GPJch4wDejC+I4lKPYbTWyfOHqSnJInfY57bAeDh4OPchjAMxrtF/3j4+Lc/gzv/sY07U4mH/w8cNF7HbCjn8WBk0/BnIL9sD4/Gz/gmLQ/bM/5TAd/sMjX8TP+aZZL+JhTNMT4bHn/AGcEhzrx3c0T9oz/AIOb3/SYXf8ATmift4ubf7YOXQmA1Szbpkf6c339nFTf48ZA3s5BKQXXux3tvwZ/zs7/AO1mzYzn0zl03n/Oz/mYu1tI6xS38OX5/H5p/OWt33t5v94/w6oYpC+wdjGitPgxYTk9jDl/ZMjx+EzZf2cnf9eBf0Z/zM/52Lk/Yyh/Bh2vwYX4/jIdJafaYs/xZq/iz/iYv/VntPmZ7bJPDJ4s9gz4GfAz4YewwvibfkYcljFwU5jly485ly5cuCnGXLh93+FsD6TN7P7Zehi8LaJotcgAIAo01roYX/y4GJfto7MTHBdJoFngZTBMZ2HLihqAPAfYO2MSSP4FkMZtIKnNJ+8wSZaNwMAPjG3kJBgGHOCqBDVCHBcGxIInFK175d28ArsYhRJXiSVYFbasQlQavLrJ4UItGWBPExZ9noKdj7uMeEJTbCPjzgFKOk4BDwOUBZm7wCzGtAx4mgNYwrEDyquhiEjk/wBq49L6FwepiT85T1WdFe2NmvVc9ysD1eB/C6VF5m/Vv0Dkr7/4Lise0fhnW/TAM86fkcfTZ6jDDIN7ngesOh6D0XNF2h+3onUA/wD5B1BBXuna7yQgAxxMIodz+/Hd58EcI8htvBATF1wk8tlxPbD2khO0kPbgAEaIFIjiiz2Hz0uch3EE7H98WhKVoTCFzfwBaTbBhOGQDdAMJKskhYquFOFJTDt97l8AFiDWu6zCcowx4d2c3ON7YMQhgzFVBVGP4yg+IUYtGTDdEiugf2xOC2R2CPtdMSXYgjU2/LkcDDM74JgZMnRHJkwm7WtyZMBbv+1imTJkyORxMmTomRyYovI/tg716YmRwOisrKw7mVnjKz3a/wBjOZ8/7cjkyYGG8rKWk3lZMmTJgZFjkT4/+sTI9EydE6I9SYGKs8X+zLQdzonRMmGJ0KysmTDa4UZK7Xxm00/GJOj+MmuuNOE+MC9nNlFVIc/bAbIndF7+3vlboWgx/jAU5HhDHiHrlBe2RppO+Ai6E4cr+YADyq5AlTzzz+Sa8e+FQv2f33nE2eb/ALwsvwlYXWvtX94Iit3txi2fnedj7+bHQUniYNr3mF5P7Ph93Nziyab344fj2xKFNlZ7MeAZpud0zWeM2+U9vfBx0bJ8jIsAU2eD8Y5MKGkvM/GN9Tj3csbX5Zc4W7bcFi+7gMqQ3OfGHNrA7sLOXX+txm3/AIGcP+5l4AobXi4bXZ0Vi6PzljsnLrbw4IhcY3lWwXKO2L2fkYvYXMqx0k1Hu6d5s7b7uucskMjb7zFSHzG4trTff5y2p7fhzMV9l384qorZ7czNRzdK8Dfb4x7B8b+fb3MrB4W/n29zG6EUvejx7mBZYpXuj49mFwf/AHfb3Mezza57/bGh3OP29vZkYufI+2+MJ2wUnPf7drg4XIV33+3viip8a+ft74ppifj8O1y4q7HzP7yAB+77/wBXBUSFiXjjf74vET3vGaG0j8R/eIabUrsXf5zTv2n4/v8AbEsay3GpAIdmLoBe+84tdXvx+3v+2LoVBu8YxILLvjBES5ri51YxWt3G7OME7dBjJxXAgHW2/GFuTzub17YM37J3Dt2wIqnMi8e2TesF/C9snH379vbCgeLbeEntjxUjzWz8Y8Sc8v6xyJr5wwNJHewMO57eBff2x12+Kvv7ZXYHnavz7Yzj278vbGbPmDTn2wnwUQKjfbCAAQbOBO3PhP4yPZvw/wBZUyXzyCuTbeXA4KHxuFhd1/5fDh2Tov8A69nAgK6Le7WES6zC7P2GKAHqX78OYL2I5sv5MhGvfOvh/v1HS5cuXouXLly5cuXLlyupdr0LnKTLl6Fy5cvRcuXLly5cuUy5c1ly5ely9Fy5cXElCqrwydFy5cuUy4YuXFVNyZcuXouXouIKKZcuVyuXKZcvRcrly5XRei5crlyuXouXLgvRcuXLly5cuXF9N+jfTr0HoSkx9R9Li5P0O/S9vT29dy79Zsp2BO3XXrPSS95f0Tm/W+pwRVd9sQf0h6IW9/W+iowrnHq74beNCebizpMT9IfSnQRKfQnqr0vrmI639e7k9T1fo8h8enf1n0HXb4TpvDQYqDEvQAr56jVOh6D6ymdvTVRGHfrOlwehoK336TDpf0N+g/4Ab9W9NlOTOQuvQ6zv15/Q36/f6Bnf6T6L6C+jcwurz9M/Q9+u87eh9VL6tdJ9Q9E9R016HH1PS42M5zuD9Q/STLtJ6W9Wfp0FAXHAAh02E46THpN30z61PoMYHHQ6TD9P3w9D6lD5yuFDmt+hdz0J6J6AqBSnJyZ2PoHpeMPXOhZvo+mfQnUM7JhxrA693BEEfVOqD0Or6H6hat11P0B612etvR/Vu9WenXR9OrOr6XDoe/St/L1PpGd/Qj59L6bk+o7BHfTjDoPpnpvpZ1QIb36HJ9ZZ2vpArqfVnqmN1J9A63Al6nU9Dh9KehyHnGEmEYj39J6+/SfUvS+m+lKT0X0i7p1px6UjZH0v0H6L69dH6FMeghVd+ifoH0n0jOOk9ff696uzD1A130DIfS39EKcp1b0ACdVgr2w2Dmx410cBheejxrJ0T1iEljnPQJ9AnQ9N9U9U9UPSerf0O/Rer7ZcvVQTeXoeoCUv0Z6nqTs/Qec31E3i5fBp970egVAo+T0b9D9I68de1NLPbD6J6qUClJfGHBW+/wCqcsMvovTXpADL0UK9jADyOhN9D0r07esDubHTOG9sGikeFNemFdwD17zqEDr3zv6gyX1meOhh9c10fSln076z0X6JRel9R0pMEQcETDolJh1nHpM7Yeg9Th6n1PSekwuTD0md/oS/SV1rq/Sp0HOcmT9IAegddN3ntx0uMlcMWJg9dzTTV4uHQzd9vQY/rNYEgwRnnJnCFHQ5ehe6W4dD6U69/VPQsvUyXodTJ6bgjfbD1q6hl+jcub9V56gFQ2+juZeiUQX2P08w6PRoMK/R0VnXvhd079e/QO859D6Ys9GvVPRfUesgjTX0H0T9FfRz6O/rmx+i8acJM46CC/HqDwSa9BVcgTdF/Rnqnr560bl6a/UXF8uHov6C3DrehwXn6J9Ht63oDuv0EphoOgc5OkxLzj7ZoNLNzHpOh1mH0T0zqeg+jerh9A9BgGPS5fpzD0pSfrrsPQ+lMPrXrx0IyNOwXBULzPReKNmxjhZs/RH16fSvRy9D1n6VzfSdKfWnqepy31319/WYeq+k+hfXrH1L6gn07671MOhiCJgAQ9HbrNjv6k9B6zr3fpHrG7HEydQlq8/XPU4dL9B4w+h36Ho10Qc+inrGg+g+P156X6ffo9DhUeOz4eqfSOs/Tv0blwNrXOfQvHW+g6HW4db0OrtCS76AF93q+it9DJ6bnPQ6KCxZnjN83o/oe/S/TPXPoXpfVcvRYXDg9V6XrfTekWXf0waNAO0Tv69dLr6D1462PD9CdOPS6w63rZ9A+idDC31nr//Z"
    }
   },
   "cell_type": "markdown",
   "id": "107bb208",
   "metadata": {},
   "source": [
    "# Question paper\n",
    "![paper.jpeg](attachment:paper.jpeg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "abc75e11",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import re\n",
    "import os\n",
    "import pymysql\n",
    "import sqlalchemy\n",
    "\n",
    "pd.set_option('display.max_rows', None)\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_colwidth', None)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "355f438c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv('swiggy.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7326e8b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Area</th>\n",
       "      <th>City</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Price</th>\n",
       "      <th>Avg ratings</th>\n",
       "      <th>Total ratings</th>\n",
       "      <th>Food type</th>\n",
       "      <th>Address</th>\n",
       "      <th>Delivery time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>211</td>\n",
       "      <td>Koramangala</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Tandoor Hut</td>\n",
       "      <td>300.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>100</td>\n",
       "      <td>Biryani,Chinese,North Indian,South Indian</td>\n",
       "      <td>5Th Block</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>221</td>\n",
       "      <td>Koramangala</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Tunday Kababi</td>\n",
       "      <td>300.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>100</td>\n",
       "      <td>Mughlai,Lucknowi</td>\n",
       "      <td>5Th Block</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ID         Area       City     Restaurant  Price  Avg ratings  \\\n",
       "0  211  Koramangala  Bangalore    Tandoor Hut  300.0          4.4   \n",
       "1  221  Koramangala  Bangalore  Tunday Kababi  300.0          4.1   \n",
       "\n",
       "   Total ratings                                  Food type    Address  \\\n",
       "0            100  Biryani,Chinese,North Indian,South Indian  5Th Block   \n",
       "1            100                           Mughlai,Lucknowi  5Th Block   \n",
       "\n",
       "   Delivery time  \n",
       "0             59  \n",
       "1             56  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "bfef7ecd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Area</th>\n",
       "      <th>City</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Price</th>\n",
       "      <th>Avg_ratings</th>\n",
       "      <th>Total_ratings</th>\n",
       "      <th>Food_type</th>\n",
       "      <th>Address</th>\n",
       "      <th>Delivery_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>211</td>\n",
       "      <td>Koramangala</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Tandoor Hut</td>\n",
       "      <td>300.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>100</td>\n",
       "      <td>Biryani,Chinese,North Indian,South Indian</td>\n",
       "      <td>5Th Block</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ID         Area       City   Restaurant  Price  Avg_ratings  \\\n",
       "0  211  Koramangala  Bangalore  Tandoor Hut  300.0          4.4   \n",
       "\n",
       "   Total_ratings                                  Food_type    Address  \\\n",
       "0            100  Biryani,Chinese,North Indian,South Indian  5Th Block   \n",
       "\n",
       "   Delivery_time  \n",
       "0             59  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replace spaces in between column names with underscores to avoid SQL error this change reflects in original dataframe\n",
    "df.columns=[column.replace(\" \", \"_\") for column in df.columns.to_list()]\n",
    "\n",
    "# Get column names and data types\n",
    "column_names = df.columns.tolist()\n",
    "data_types = df.dtypes.tolist()\n",
    "\n",
    "# columns changed\n",
    "df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "08e7e655",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(['ID',\n",
       "  'Area',\n",
       "  'City',\n",
       "  'Restaurant',\n",
       "  'Price',\n",
       "  'Avg_ratings',\n",
       "  'Total_ratings',\n",
       "  'Food_type',\n",
       "  'Address',\n",
       "  'Delivery_time'],\n",
       " [dtype('int64'),\n",
       "  dtype('O'),\n",
       "  dtype('O'),\n",
       "  dtype('O'),\n",
       "  dtype('float64'),\n",
       "  dtype('float64'),\n",
       "  dtype('int64'),\n",
       "  dtype('O'),\n",
       "  dtype('O'),\n",
       "  dtype('int64')])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "column_names,data_types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d6154132",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8680, 10)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "624867c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "INT---------INT\n",
      "ID,int64 Range is 211 - 466928\n",
      "\n",
      "OBJECT#########OBJECT\n",
      "Area,object value width is 2 - 48\n",
      "\n",
      "OBJECT#########OBJECT\n",
      "City,object value width is 4 - 9\n",
      "\n",
      "OBJECT#########OBJECT\n",
      "Restaurant,object value width is 2 - 74\n",
      "\n",
      "FL+++++++++FL\n",
      "Price,float64 Range is 0.0 - 2500.0\n",
      "\n",
      "FL+++++++++FL\n",
      "Avg_ratings,float64 Range is 2.0 - 5.0\n",
      "\n",
      "INT---------INT\n",
      "Total_ratings,int64 Range is 20 - 10000\n",
      "\n",
      "OBJECT#########OBJECT\n",
      "Food_type,object value width is 4 - 202\n",
      "\n",
      "OBJECT#########OBJECT\n",
      "Address,object value width is 3 - 90\n",
      "\n",
      "INT---------INT\n",
      "Delivery_time,int64 Range is 20 - 109\n"
     ]
    }
   ],
   "source": [
    "# FOR ASSESSING LIMIT OF DATA TYPE OF COLUMNS \n",
    "for column, dtype in zip(column_names, data_types):\n",
    "    if dtype == 'int64':\n",
    "        print(f'\\nINT---------INT\\n{column},{dtype} Range is {df[column].min()} - {df[column].max()}')\n",
    "    elif dtype == 'object':\n",
    "        print(f'\\nOBJECT#########OBJECT\\n{column},{dtype} value width is {df[column].str.len().min()} - {df[column].str.len().max()}')\n",
    "    else:\n",
    "        print(f'\\nFL+++++++++FL\\n{column},{dtype} Range is {df[column].min()} - {df[column].max()}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3a693ea4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CREATE TABLE swiggytable (\n",
      "    ID INT(10),\n",
      "    Area VARCHAR(300),\n",
      "    City VARCHAR(300),\n",
      "    Restaurant VARCHAR(300),\n",
      "    Price FLOAT(10,5),\n",
      "    Avg_ratings FLOAT(10,5),\n",
      "    Total_ratings INT(10),\n",
      "    Food_type VARCHAR(300),\n",
      "    Address VARCHAR(300),\n",
      "    Delivery_time INT(10)\n",
      ");\n"
     ]
    }
   ],
   "source": [
    "# Generate the SQL command\n",
    "table_name = 'swiggytable'  # Replace with your desired table name\n",
    "sql_command = f\"CREATE TABLE {table_name} (\\n\"\n",
    "\n",
    "for column, dtype in zip(column_names, data_types):\n",
    "    if dtype == 'int64':\n",
    "        sql_command += f\"    {column} INT(10),\\n\"\n",
    "    elif dtype == 'object':\n",
    "        sql_command += f\"    {column} VARCHAR(300),\\n\"\n",
    "    # Add more data type conditions if needed\n",
    "    else:\n",
    "        sql_command += f\"    {column} FLOAT(10,5),\\n\"\n",
    "    \n",
    "\n",
    "sql_command = sql_command.rstrip(\",\\n\") + \"\\n);\"\n",
    "\n",
    "print(sql_command)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "0be72eea",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create connection\n",
    "import pymysql.cursors\n",
    "\n",
    "conn = pymysql.connect(\n",
    "        host='',\n",
    "        user='', \n",
    "        password = \"\", #replace with your values\n",
    "        db='swiggy', #this should be the database you want to operate on\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6f2888f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "cursor = conn.cursor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d7f6f269",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Connection is made\n"
     ]
    }
   ],
   "source": [
    "# Checking connection\n",
    "cursor.execute(\"SELECT 1\")  # A simple query to test the connection\n",
    "result = cursor.fetchone()\n",
    "\n",
    "if result:\n",
    "    print('Connection is made')\n",
    "else:\n",
    "    print('Connection is not made')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d5f3ff1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Also one way to test connection\n",
    "conn.open"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "cf988a44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cursor.execute(sql_command)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "f5a84a49",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sqlalchemy import create_engine\n",
    "\n",
    "engine = create_engine('mysql+pymysql://root:@localhost/swiggy')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d72c5a5f",
   "metadata": {},
   "source": [
    "#### <span style=\"color:red\"> if_exists = 'replace' </span> can be used to create a table from scratch which is easier but will cause performance issues because it will assume datatypes of columns\n",
    "\n",
    "#### we will insert data by using <span style=\"color:red\"> if_exists = 'append' </span> to only insert values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6c4c13ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_sql(name='swiggytable', con=engine, if_exists='append', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d7d6833f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The count of records is ((8680,),)\n"
     ]
    }
   ],
   "source": [
    "query = \"SELECT COUNT(*) FROM swiggytable\"\n",
    "cursor.execute(query)\n",
    "\n",
    "# Fetch the first 5 records\n",
    "print(f'The count of records is {cursor.fetchall()}')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35bcc867",
   "metadata": {},
   "source": [
    "###  Running Queries (1 to 10 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "82166ed5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Formatting for better view\n",
    "from tabulate import tabulate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "5a912402",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+---------------+\n",
      "| Area         |   Avg_ratings |\n",
      "|--------------+---------------|\n",
      "| Andheri East |             5 |\n",
      "| Annanagar    |             5 |\n",
      "| Bandra East  |             5 |\n",
      "| Basavanagudi |             5 |\n",
      "| Bkc          |             5 |\n",
      "+--------------+---------------+\n"
     ]
    }
   ],
   "source": [
    "# 1. Retrieve the top 5 areas with the highest average restaurant ratings. \n",
    "\n",
    "query1=\"SELECT DISTINCT Area, Avg_ratings FROM swiggytable ORDER BY Avg_ratings DESC LIMIT 5;\"\n",
    "cursor.execute(query1)\n",
    "\n",
    "# Fetch the records\n",
    "records = cursor.fetchall()\n",
    "\n",
    "# Define the headers for the columns\n",
    "headers =  [desc[0] for desc in cursor.description]\n",
    "\n",
    "# Print the records using tabulate\n",
    "print(tabulate(records, headers=headers, tablefmt=\"psql\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a49ad353",
   "metadata": {},
   "source": [
    "### Q2 \n",
    "### Extracting all food_types to see the unique ones then check veg options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "7fa90a4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Biryani,Chinese,North Indian,South Indian Mughlai,Lucknowi Chinese North Indian,Punjabi,Tandoor,Chinese Rajasthani,Gujarati,North Indian,Snacks,Desserts,Beverages,Thalis,Chaat Mughlai,North Indian Mexican,Beverages,Salads Desserts,British,Bakery,Pizzas,Snacks American,Italian,Beverages,Continental,Chinese,Pastas,Pizzas,Fast Food Bengali Chinese,Thai,Nepalese North Indian,Chinese Mughlai,North Indian,Biryani American,Continental Fast Food,Beverages,Bengali,Biryani,Indian,North Indian,Snacks,Street Food Mughlai,North Indian Kerala,Seafood Bengali,Fast Food,Chinese Seafood,Andhra,Biryani,South Indian,Combo,Desserts,Beverages Mughlai,North Indian,Chinese,Thai,Asian Mughlai,Bengali North Indian,Chinese,South Indian Arabian,Biryani,North Indian,Chinese Biryani,Tandoor,Chinese,Indian,Desserts,Kebabs,Mughlai Desserts,Fast Food,Bakery Chinese  Thai  Asian Mughlai,North Indian,Chinese,Seafood,Italian Chinese,Seafood Steakhouse,American Chinese,Asian,Pan-Asian,Thai,Oriental Chinese,Asian,Thai British,Italian,Indian,Chinese,South Indian,North Indian,Desserts Thalis,North Indian,Punjabi,Beverages Biryani,Mughlai,North Indian,Chinese Continental,Desserts Mughlai,North Indian,Chinese,Biryani North Indian North Indian  South Indian Biryani  North Indian  Chinese  Tandoor Mughlai,North Indian,Seafood,Biryani North Indian  Chinese  Desserts  Continental  South Indian Ice Cream,Beverages,Desserts,Chaat,Italian Chinese South Indian,North Indian,Chinese Biryani,North Indian,Chinese,Tandoor Ice Cream,Desserts,Beverages Tandoor,Mughlai,North Indian,Kebabs Biryani,Tandoor,Kebabs,Barbecue,Fast Food Chinese Desserts,Ice Cream,Bakery,Fast Food Chinese,Continental,Fast Food North Indian,Indian Punjabi,North Indian Andhra Fast Food Mughlai,North Indian,Chinese,Seafood North Indian,Chinese,Tandoor,Biryani,Beverages,Desserts North Indian,Biryani,Chinese Bengali Continental,American,Cafe Biryani,Mughlai,North Indian,Indian,Kebabs,Tandoor North Indian,Chinese,Bengali North Indian  Fast Food  Tandoor  Biryani  Kebabs  Snacks  Chinese Mughlai,North Indian,Biryani,Kebabs,Desserts North Indian,Indian,Tandoor,Kebabs,Punjabi,Home Food,Chinese North Indian,South Indian Fast Food Fast Food,Beverages,Pizzas,Street Food,Snacks Chinese,Desserts Andhra,Seafood North Indian,Chinese,South Indian North Indian,Chinese,South Indian,Fast Food North Indian,South Indian,Fast Food Mughlai,North Indian,Chinese,Arabian North Indian,Chinese,Biryani,Seafood American,Desserts,Continental,Italian Italian,Chinese,Thai North Indian,Mughlai Lebanese,North Indian,Afghani,Mughlai,Combo,Biryani,Kebabs,Mediterranean,Arabian,Middle Eastern,Desserts Sweets,Bakery,Desserts,Fast Food,Street Food,Chaat Chinese,Seafood North Indian,Chinese,Continental,Asian,Desserts,Beverages Desserts,Continental,Fast Food Chinese,Thai,Malaysian North Indian,Chinese,Biryani Ice Cream  Desserts Chinese,Fast Food Lebanese,Fast Food,Snacks,Arabian Salads,Healthy Food Biryani,Mughlai,North Indian,Chinese Biryani,Tandoor,Chinese,Indian,Kebabs,Desserts Chinese  Italian  Desserts  Bakery  Fast Food Biryani,Chinese,South Indian,North Indian,Tandoor Biryani,Chinese,South Indian,North Indian,Tandoor Biryani,Chinese,North Indian,South Indian Biryani,Tandoor,Chinese,Indian,Kebabs,Desserts American,Fast Food Pastas  Beverages  Fast Food Biryani,Mughlai,North Indian,Indian,Kebabs,Tandoor North Indian,Biryani,Continental,Italian North Indian,Chinese,South Indian,Fast Food Mughlai,North Indian North Indian,Chinese North Indian,Punjabi,Biryani Combo,Chinese,Continental,Italian,Fast Food,Mexican Biryani,North Indian,Chinese Biryani,Tandoor,Chinese,Indian,Desserts,Kebabs,Mughlai American,Steakhouse,Italian,Mexican,Continental,Mediterranean,Desserts,Grill,Salads,Pastas,Pizzas,Lebanese Italian,Pizzas,Fast Food,Beverages,Desserts Mughlai,North Indian,Chinese,Seafood Chinese Ice Cream,Pizzas,Fast Food,Beverages,Desserts Biryani,Chinese,South Indian,North Indian,Tandoor Italian,Pizzas,Fast Food Biryani Chinese  Thai  Fast Food Biryani,Mughlai,Tandoor,Chinese,Desserts,Ice Cream,Beverages Italian,European North Indian,Chinese,Seafood,Continental American,Fast Food Fast Food Chinese,Oriental,Thai,Pan-Asian,Seafood,Asian,Desserts Desserts,Bakery,Beverages Street Food,Fast Food Mughlai,North Indian,Chinese,Fast Food Ice Cream,Desserts North Indian,Chinese Chinese,Oriental,Thai,Pan-Asian,Seafood,Asian,Desserts Biryani,Hyderabadi,Indian,Street Food Italian,Continental,European,Desserts North Indian,Fast Food,Biryani,Cafe,Snacks,Beverages,Bakery North Indian,Chinese,Biryani,Mughlai,Parsi,Fast Food Fast Food,Bakery,Beverages,Snacks,Desserts Chinese North Indian,Chinese,Biryani North Indian Chinese,Oriental,Thai,Pan-Asian,Seafood,Asian,Desserts North Indian,Chinese,Continental,Mughlai Desserts,Pastas Fast Food,Healthy Food,Salads,Snacks,Desserts,Beverages European,Italian,American,Pastas,Salads,Juices,Desserts,Combo Mughlai,North Indian,Chinese,Biryani North Indian,Chinese,Continental North Indian,Chinese Healthy Food,Salads,Fast Food,Continental,North Indian,Chinese Bengali Desserts,Fast Food Steakhouse,American,Continental Goan,Mangalorean,Kerala,South Indian,Seafood,Coastal,Continental Desserts  Bakery Chinese,Nepalese,Tibetan American,Healthy Food,Fast Food,Continental,Salads,Beverages,Desserts Mughlai,North Indian,Chinese,Seafood Mughlai,North Indian,Chinese,Seafood Mughlai,North Indian,Chinese Indian,Chinese,Andhra,Tandoor Italian,American North Indian,Chinese,Seafood,South Indian Fast Food North Indian,Biryani,Chinese Bakery,Pizzas Mughlai,North Indian,Chinese Chinese,Thai,Pan-Asian,Seafood Snacks Mughlai,Chinese,Fast Food North Indian,South Indian,Fast Food Sweets,Fast Food Pizzas  Fast Food Chinese,Continental,Italian,Mediterranean,Thai,Lebanese,American,Asian,Beverages,Bakery,Biryani,Desserts,Mexican,North Indian,Salads,Pizzas Indian,Chinese,Tandoor North Indian,Chinese,Continental Continental,Fast Food,Italian,Beverages Italian,Indian,Continental Japanese,Asian Biryani  North Indian  Chinese Tandoor,North Indian,Biryani,Beverages,Desserts North Indian Ice Cream Cakes  Desserts  Bakery  Sweets  Beverages Chinese,Asian,Fast Food,Snacks,Tibetan Street Food Asian,Chinese,Oriental Thai Chettinad North Indian,Chinese,Thai,Continental Indian,Chinese,Bengali North Indian  Chinese  Seafood Mughlai,North Indian,Chinese,Seafood,Tandoor North Indian,Chinese,Kebabs,Biryani,Mughlai Tribal,Seafood,Chinese North Indian,Biryani,Kerala Continental,Italian,Italian-American Chinese,Mughlai,Indian,Snacks,Popular Brand Store,Fast Food North Indian,Chinese,Continental Italian,American French,Street Food Continental,Asian Chinese North Indian,Chinese,Continental,Fast Food North Indian,Chinese Punjabi,North Indian,Chinese North Indian,Biryani,Mughlai Chinese,Mexican,Continental Lebanese North Indian,Chinese Chinese Italian,Chinese Chinese Italian,Pizzas,Pastas,Desserts,Continental,Salads Bakery Fast Food  Healthy Food  Salads  Snacks  Desserts  Beverages Thai,Pan-Asian Italian  Bakery Chinese,Thai,Pan-Asian,Oriental,Beverages,Snacks,Seafood,Mughlai,Tibetan,Combo,European,Turkish,Asian,British,Salads,German Fast Food,Salads,Snacks,Desserts,Beverages Desserts,Continental Mexican,Continental Fast Food Italian Chinese,Asian,Pan-Asian,Thai,Oriental Italian,Pizzas North Indian,Indian,Combo,Chinese,Healthy Food Desserts,Bakery,Salads,Continental,Fast Food,Snacks,Pastas Bengali,North Indian,Biryani,Street Food Mughlai,Chinese,Tandoor South Indian,Biryani,Rayalaseema Mughlai,North Indian,Chinese Fast Food Punjabi,North Indian,Chinese Fast Food,American,Italian,Beverages Mughlai,Indian,Chinese,Biryani Desserts,Asian,Beverages,Bakery,Italian,Continental,Pizzas,Italian-American North Indian,Continental Italian,Pizzas,Fast Food Indian,Continental,Tandoor North Indian,Mexican,Continental,Italian North Indian,Mughlai,Tandoor,Kebabs,Indian,Beverages,Biryani,Punjabi,Seafood,Afghani,Thalis,Combo,Snacks,Barbecue,Home Food,Lucknowi Ice Cream,Beverages,Fast Food,Italian,Desserts Indian Bengali Italian,Desserts,Continental North Indian,Chinese,Fast Food Chinese Seafood Pizzas,Fast Food Chettinad,North Indian,Chinese,South Indian,Biryani Italian,Salads,Healthy Food,French Indian North Indian,Chinese,Mexican,Italian,Thai,Lebanese Chinese South Indian,North Indian,Chinese,Beverages Biryani,Andhra,Rayalaseema,South Indian,North Indian,Chinese Bakery  Continental Chinese,Thai Bakery,Cafe Bakery,Desserts Chinese,Fast Food,Asian American,Fast Food Mangalorean,Biryani,Seafood,Chinese,North Indian,Desserts,South Indian,Combo European,Italian,American,Pastas,Salads,Juices,Desserts,Combo Chinese Chinese Chinese,Fast Food,North Indian North Indian,Beverages Fast Food,Salads,Snacks,Desserts,Beverages North Indian,Chinese North Indian,Chinese Biryani,Mughlai,North Indian,Indian,Kebabs,Tandoor Fast Food  Pizzas Biryani,Indian Indian Ice Cream,Desserts Mughlai,North Indian,Chinese Fast Food Continental Chinese,Seafood,Thai,Japanese Tandoor,North Indian,Chinese,South Indian Street Food,Desserts,Sweets Pizzas,Fast Food Bengali Chinese,Biryani,North Indian Biryani  Mughlai  North Indian  Indian  Kebabs  Tandoor  Awadhi North Indian,Chinese North Indian  Chinese  Seafood Continental,European,Salads,Italian Maharashtrian,Punjabi,Seafood North Indian,Indian,Biryani,Chinese,Punjabi Continental,European Street Food,North Indian,Chinese,South Indian,Fast Food North Indian  Chinese Ice Cream,Desserts,Bakery North Indian,Chinese,Biryani Bakery,Pizzas,Snacks,Chinese,Italian,American,Sweets,Desserts,Beverages Pizzas North Indian,Chinese,Fast Food Chinese,Oriental,Thai,Pan-Asian,Seafood,Asian,Desserts Kerala Lebanese  Middle Eastern Biryani,North Indian,Chinese Street Food,Chinese Mediterranean,Seafood,Thai Chinese,Mughlai,Indian Italian,Continental Desserts  Fast Food  Bakery Chinese,Seafood North Indian,Chinese,Biryani,Punjabi,Desserts,Pan-Asian,Tandoor,Combo,Beverages,Indian,Grill Italian Fast Food,Salads,Snacks,Desserts,Beverages Mughlai,Street Food Chettinad,North Indian,Mangalorean,Seafood American,European Desserts,Sweets North Indian,Chinese Continental Continental Chinese,South Indian Ice Cream,Desserts Mughlai,North Indian Desserts,Mughlai,Indian,Tandoor Indian  Chinese  South Indian  Continental Italian,Continental North Indian,Chinese Chinese,Thai,Asian,Beverages,Desserts,Oriental,Seafood,Pan-Asian Biryani,Andhra,Rayalaseema,South Indian,North Indian,Chinese Continental North Indian,Chinese,Kerala Biryani,North Indian,Chinese Healthy Food,Fast Food,Beverages Chinese Chinese North Indian,Biryani,Chinese Mughlai,North Indian,Chinese Indian,Chinese,Continental Pizzas,Salads,Combo,Italian,Mexican,Desserts,Beverages Chinese,Asian,Thai,Seafood Pizzas Biryani Ice Cream,Desserts Continental Japanese North Indian,Chinese Chinese,Asian,Thai Beverages  Snacks  Desserts Mexican,Continental Sweets  Desserts  Bakery  Beverages Italian,Italian-American,American Fast Food 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Chaat,Indian Beverages,Desserts Indian,North Indian,Snacks Gujarati,Fast Food Bakery Indian Chinese,Tandoor Chinese,Thalis South Indian,Beverages Bakery Juices  Salads Indian Ice Cream,Beverages North Indian,Continental,Beverages Beverages  Desserts Ice Cream,Desserts Ice Cream,Desserts Indian,North Indian,Fast Food Sweets Indian,Chinese,Fast Food,Punjabi Fast Food,Snacks Chinese Desserts,Bakery Punjabi,North Indian,Thalis,Desserts,Beverages Sweets Pizzas,Italian,Beverages,Juices Ice Cream,Desserts Pizzas,Pastas,Fast Food,Beverages North Indian Chaat,Sweets Indian,Chinese Indian Indian,South Indian,Chinese,Juices,Beverages,Tandoor,Maharashtrian Ice Cream  Beverages SVANidhi Street Food Vendor,Fast Food,Indian South Indian  Snacks  Beverages Pizzas,Bakery Salads,Healthy Food,Beverages Chaat,Fast Food Beverages,Fast Food Indian,Fast Food Ice Cream,Desserts Chaat,Combo,North Indian Fast Food,Snacks,Chaat Fast Food,Beverages Punjabi,Snacks,Chinese South Indian Bakery  Desserts Fast Food,Snacks,Sweets Chaat South Indian Fast Food,Beverages Indian Bakery,Beverages Snacks Pizzas,Pastas,Beverages South Indian Fast Food,Chaat Desserts Snacks Indian,Pastas,Snacks North Indian,Chinese,Snacks,Thalis Sweets,Snacks,Bakery Sweets North Indian,Thalis North Indian Snacks,Fast Food Indian Snacks Continental,Pizzas,Pastas Healthy Food  Salads  Chaat Italian,Chinese,Fast Food,Beverages Chaat,Snacks Ice Cream Bakery Indian,Chinese Indian Snacks Pastas,Indian,Desserts,Beverages Ice Cream,Beverages Beverages,Juices Indian  Snacks South Indian Bakery,Tandoor,Fast Food,Chinese,Continental Indian Ice Cream,Desserts Indian Beverages,Snacks,Fast Food Snacks  Indian  Chinese Snacks South Indian  Biryani Tibetan,Chinese,Indian Tandoor,Chinese,Beverages Chinese,Snacks Beverages,Italian,Snacks,Fast Food Salads Paan Bakery  Sweets  Desserts Continental  Italian  Chinese  Beverages Fast Food,Continental Indian Continental,Beverages,Desserts Continental,Italian,Beverages Italian,Continental,Beverages Beverages,Juices,Fast Food North Indian Biryani South Indian,Chinese,Beverages,Indian Pizzas Ice Cream,Desserts Chinese,Continental,Fast Food,Pizzas,Mexican Fast Food,Thalis South Indian,Snacks Ice Cream,Desserts Chinese,Fast Food,Indian Sweets,Bakery,Snacks Fast Food Chinese,Asian,Combo,Thalis,Beverages,Pan-Asian,Jain Thalis,Punjabi,North Indian,Biryani,Indian,Gujarati,Chinese,Offer Valid only for New Customers,Tandoor,Bowl Company, Keventers & more,Combo,Salads,Desserts,Sweets,Healthy Food,Jain,Fast Food Indian,Snacks,Fast Food,Continental,Beverages Italian,Mexican,Beverages,Desserts Beverages,Fast Food South Indian,Beverages,Snacks Chinese,Indian Indian,Thalis Italian,Beverages,Continental Beverages,Fast Food,Desserts South Indian North Indian,Biryani,Salads Beverages,Fast Food Beverages Desserts,Fast Food Indian,Thalis Snacks  Sweets Beverages Bakery,Desserts Italian Snacks,Sweets,Beverages Indian,Afghani,Fast Food,Thalis North Indian  Sweets Fast Food,Pizzas,Pastas Bakery Desserts Sweets,Chaat,Juices Indian,Thalis,Punjabi,North Indian,Biryani,Gujarati,Chinese,Combo,Salads,Desserts,Sweets,Healthy Food,Jain,Fast Food Indian,Chinese,Combo Fast Food,Chaat Pizzas,Chaat,Snacks Bakery  Snacks  Desserts Italian,Fast Food,Beverages North Indian,Indian Street Food,Chaat Indian Fast Food,Pizzas,Beverages Fast Food,Pizzas Bakery South Indian,Snacks,Fast Food,Chaat Desserts,Ice Cream Indian Beverages,Snacks Chinese Beverages,Fast Food North Indian,Fast Food Chinese,Beverages,Juices Fast Food,Combo,Beverages,Street Food Indian,Chinese,Oriental,Beverages Desserts American Chinese,North Indian,Tandoor Bakery,Desserts South Indian  Beverages Bakery Beverages Pizzas,Fast Food Indian,Chinese,Beverages Indian,Chinese Ice Cream,Desserts Pizzas Sweets Snacks,Beverages North Indian Fast Food Pizzas Beverages,Snacks,Bakery Beverages Indian North Indian,Fast Food,Tandoor,Chinese,Beverages Beverages,Desserts Fast Food,Snacks Fast Food,Chinese,Indian Chinese,Fast Food,Continental,Tandoor,Italian,Indian Beverages,Combo Indian,Fast Food,Bakery,Pizzas Indian,Tandoor,Beverages,North Indian,Chinese,Combo,Salads,Fast Food Beverages Chinese Punjabi  North Indian Chinese,Pizzas,Fast Food Juices  Healthy Food Beverages Snacks,Fast Food Bakery,Beverages Beverages Beverages Juices Fast Food  Continental  Chinese Pizzas South Indian Fast Food,Mexican Indian,South Indian,Biryani,Chinese,Combo,Fast Food Gujarati Fast Food,Pizzas Snacks,South Indian,Chinese Fast Food,Pizzas,Pastas Chinese,North Indian,Biryani Arabian,Chinese,Beverages Chinese,Combo,Snacks Italian,Continental,Fast Food,Beverages North Indian,Chinese,Thai,Indian,Desserts,Beverages Chinese,Fast Food,Thalis Italian,Desserts,Beverages Chinese,Italian,Beverages Chinese,Fast Food,Beverages Street Food,Fast Food,Combo,Snacks,Beverages,Desserts Chinese  South Indian Fast Food,Chinese,Snacks Desserts Beverages,Ice Cream Fast Food  Combo Chinese,Indian,Thalis South Indian Snacks Fast Food,Continental,Italian,Beverages Beverages  Ice Cream  Salads Street Food,Snacks,Indian Juices,Beverages Beverages,Snacks Ice Cream Chinese South Indian Bakery Healthy Food,Salads,Desserts,Beverages Indian  South Indian  Beverages Fast Food  Italian  Mexican  Beverages Indian Fast Food,Salads,Beverages Chinese,Indian,North Indian,Fast Food Chinese Indian Gujarati Paan Beverages,Ice Cream Pizzas,Fast Food,Pastas Indian,Chinese,Thalis South Indian Indian,Snacks Beverages,Ice Cream,Sweets,Fast Food South Indian Indian,Chinese,Sweets Ice Cream Fast Food,Pizzas South Indian South Indian Ice Cream,Beverages,Fast Food Chaat,Indian,Beverages Ice Cream,Beverages Street Food,Chinese,South Indian Street Food Gujarati,Indian,Fast Food,Pizzas,Beverages Fast Food,Pizzas,Snacks,Beverages Beverages,Ice Cream,North Indian,Snacks South Indian Desserts,Ice Cream Indian,Punjabi,Fast Food Bakery Sweets Fast Food Pizzas,Fast Food Snacks South Indian,Chinese,Biryani Bakery,Desserts Snacks Indian,Chinese,Snacks Indian Fast Food,Chinese Beverages Biryani,Indian Chinese Fast Food,Snacks South Indian South Indian,Desserts,Beverages South Indian,Snacks Continental,Chinese,Indian,Desserts Indian,North Indian,Beverages Beverages,Fast Food,Snacks,Pizzas,Chinese Fast Food,Street Food,Beverages South Indian,Indian,Chinese,Beverages South Indian,Chinese Chaat  Fast Food Snacks,Juices South Indian South Indian Pizzas  Fast Food  Snacks North Indian,Chinese,South Indian Indian,Beverages Chinese,Punjabi,Indian,Beverages South Indian,Street Food Beverages Chinese Chinese,North Indian,Biryani South Indian,Snacks Indian,Chinese,Ice Cream,Beverages Snacks,Chaat,Indian Indian Beverages,Pizzas Chinese Indian,Chinese Sweets South Indian Fast Food,Pizzas,Snacks Indian,Gujarati North Indian Punjabi,North Indian Beverages,Waffle,Desserts South Indian,Street Food South Indian,Beverages,Street Food,Desserts Sweets,Snacks American,Snacks Bakery,Desserts South Indian,North Indian Chinese South Indian Bakery,Desserts Punjabi,North Indian,Chinese Ice Cream,Beverages,Desserts Maharashtrian,Punjabi,Chinese,South Indian Pizzas,Street Food,Continental,Pastas,Snacks Juices,Beverages,American,Chinese,Italian,Snacks,Desserts North Indian Chaat Pizzas Snacks,American,Pizzas,Pastas,Beverages South Indian,Chinese,Snacks Desserts North Indian,Chaat,Snacks Pizzas South Indian Chinese,Snacks,Tandoor North Indian,Indian,Snacks Chaat,Snacks,Chinese'"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_elements = ' '.join(df.Food_type.to_list())\n",
    "all_elements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ac953f26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Biryani,Chinese,North,Indian,South,Indian,Mughlai,Lucknowi,Chinese,North,Indian,Punjabi,Tandoor,Chinese,Rajasthani,Gujarati,North,Indian,Snacks,Desserts,Beverages,Thalis,Chaat,Mughlai,North,Indian,Mexican,Beverages,Salads,Desserts,British,Bakery,Pizzas,Snacks,American,Italian,Beverages,Continental,Chinese,Pastas,Pizzas,Fast,Food,Bengali,Chinese,Thai,Nepalese,North,Indian,Chinese,Mughlai,North,Indian,Biryani,American,Continental,Fast,Food,Beverages,Bengali,Biryani,Indian,North,Indian,Snacks,Street,Food,Mughlai,North,Indian,Kerala,Seafood,Bengali,Fast,Food,Chinese,Seafood,Andhra,Biryani,South,Indian,Combo,Desserts,Beverages,Mughlai,North,Indian,Chinese,Thai,Asian,Mughlai,Bengali,North,Indian,Chinese,South,Indian,Arabian,Biryani,North,Indian,Chinese,Biryani,Tandoor,Chinese,Indian,Desserts,Kebabs,Mughlai,Desserts,Fast,Food,Bakery,Chinese,,Thai,,Asian,Mughlai,North,Indian,Chinese,Seafood,Italian,Chinese,Seafood,Steakhouse,American,Chinese,Asian,Pan-Asian,Thai,Oriental,Chinese,Asian,Thai,British,Italian,Indian,Chinese,South,Indian,North,Indian,Desserts,Thalis,North,Indian,Punjabi,Beverages,Biryani,Mughlai,North,Indian,Chinese,Continental,Desserts,Mughlai,North,Indian,Chinese,Biryani,North,Indian,North,Indian,,South,Indian,Biryani,,North,Indian,,Chinese,,Tandoor,Mughlai,North,Indian,Seafood,Biryani,North,Indian,,Chinese,,Desserts,,Continental,,South,Indian,Ice,Cream,Beverages,Desserts,Chaat,Italian,Chinese,South,Indian,North,Indian,Chinese,Biryani,North,Indian,Chinese,Tandoor,Ice,Cream,Desserts,Beverages,Tandoor,Mughlai,North,Indian,Kebabs,Biryani,Tandoor,Kebabs,Barbecue,Fast,Food,Chinese,Desserts,Ice,Cream,Bakery,Fast,Food,Chinese,Continental,Fast,Food,North,Indian,Indian,Punjabi,North,Indian,Andhra,Fast,Food,Mughlai,North,Indian,Chinese,Seafood,North,Indian,Chinese,Tandoor,Biryani,Beverages,Desserts,North,Indian,Biryani,Chinese,Bengali,Continental,American,Cafe,Biryani,Mughlai,North,Indian,Indian,Kebabs,Tandoor,North,Indian,Chinese,Bengali,North,Indian,,Fast,Food,,Tandoor,,Biryani,,Kebabs,,Snacks,,Chinese,Mughlai,North,Indian,Biryani,Kebabs,Desserts,North,Indian,Indian,Tandoor,Kebabs,Punjabi,Home,Food,Chinese,North,Indian,South,Indian,Fast,Food,Fast,Food,Beverages,Pizzas,Street,Food,Snacks,Chinese,Desserts,Andhra,Seafood,North,Indian,Chinese,South,Indian,North,Indian,Chinese,South,Indian,Fast,Food,North,Indian,South,Indian,Fast,Food,Mughlai,North,Indian,Chinese,Arabian,North,Indian,Chinese,Biryani,Seafood,American,Desserts,Continental,Italian,Italian,Chinese,Thai,North,Indian,Mughlai,Lebanese,North,Indian,Afghani,Mughlai,Combo,Biryani,Kebabs,Mediterranean,Arabian,Middle,Eastern,Desserts,Sweets,Bakery,Desserts,Fast,Food,Street,Food,Chaat,Chinese,Seafood,North,Indian,Chinese,Continental,Asian,Desserts,Beverages,Desserts,Continental,Fast,Food,Chinese,Thai,Malaysian,North,Indian,Chinese,Biryani,Ice,Cream,,Desserts,Chinese,Fast,Food,Lebanese,Fast,Food,Snacks,Arabian,Salads,Healthy,Food,Biryani,Mughlai,North,Indian,Chinese,Biryani,Tandoor,Chinese,Indian,Kebabs,Desserts,Chinese,,Italian,,Desserts,,Bakery,,Fast,Food,Biryani,Chinese,South,Indian,North,Indian,Tandoor,Biryani,Chinese,South,Indian,North,Indian,Tandoor,Biryani,Chinese,North,Indian,South,Indian,Biryani,Tandoor,Chinese,Indian,Kebabs,Desserts,American,Fast,Food,Pastas,,Beverages,,Fast,Food,Biryani,Mughlai,North,Indian,Indian,Kebabs,Tandoor,North,Indian,Biryani,Continental,Italian,North,Indian,Chinese,South,Indian,Fast,Food,Mughlai,North,Indian,North,Indian,Chinese,North,Indian,Punjabi,Biryani,Combo,Chinese,Continental,Italian,Fast,Food,Mexican,Biryani,North,Indian,Chinese,Biryani,Tandoor,Chinese,Indian,Desserts,Kebabs,Mughlai,American,Steakhouse,Italian,Mexican,Continental,Mediterranean,Desserts,Grill,Salads,Pastas,Pizzas,Lebanese,Italian,Pizzas,Fast,Food,Beverages,Desserts,Mughlai,North,Indian,Chinese,Seafood,Chinese,Ice,Cream,Pizzas,Fast,Food,Beverages,Desserts,Biryani,Chinese,South,Indian,North,Indian,Tandoor,Italian,Pizzas,Fast,Food,Biryani,Chinese,,Thai,,Fast,Food,Biryani,Mughlai,Tandoor,Chinese,Desserts,Ice,Cream,Beverages,Italian,European,North,Indian,Chinese,Seafood,Continental,American,Fast,Food,Fast,Food,Chinese,Oriental,Thai,Pan-Asian,Seafood,Asian,Desserts,Desserts,Bakery,Beverages,Street,Food,Fast,Food,Mughlai,North,Indian,Chinese,Fast,Food,Ice,Cream,Desserts,North,Indian,Chinese,Chinese,Oriental,Thai,Pan-Asian,Seafood,Asian,Desserts,Biryani,Hyderabadi,Indian,Street,Food,Italian,Continental,European,Desserts,North,Indian,Fast,Food,Biryani,Cafe,Snacks,Beverages,Bakery,North,Indian,Chinese,Biryani,Mughlai,Parsi,Fast,Food,Fast,Food,Bakery,Beverages,Snacks,Desserts,Chinese,North,Indian,Chinese,Biryani,North,Indian,Chinese,Oriental,Thai,Pan-Asian,Seafood,Asian,Desserts,North,Indian,Chinese,Continental,Mughlai,Desserts,Pastas,Fast,Food,Healthy,Food,Salads,Snacks,Desserts,Beverages,European,Italian,American,Pastas,Salads,Juices,Desserts,Combo,Mughlai,North,Indian,Chinese,Biryani,North,Indian,Chinese,Continental,North,Indian,Chinese,Healthy,Food,Salads,Fast,Food,Continental,North,Indian,Chinese,Bengali,Desserts,Fast,Food,Steakhouse,American,Continental,Goan,Mangalorean,Kerala,South,Indian,Seafood,Coastal,Continental,Desserts,,Bakery,Chinese,Nepalese,Tibetan,American,Healthy,Food,Fast,Food,Continental,Salads,Beverages,Desserts,Mughlai,North,Indian,Chinese,Seafood,Mughlai,North,Indian,Chinese,Seafood,Mughlai,North,Indian,Chinese,Indian,Chinese,Andhra,Tandoor,Italian,American,North,Indian,Chinese,Seafood,South,Indian,Fast,Food,North,Indian,Biryani,Chinese,Bakery,Pizzas,Mughlai,North,Indian,Chinese,Chinese,Thai,Pan-Asian,Seafood,Snacks,Mughlai,Chinese,Fast,Food,North,Indian,South,Indian,Fast,Food,Sweets,Fast,Food,Pizzas,,Fast,Food,Chinese,Continental,Italian,Mediterranean,Thai,Lebanese,American,Asian,Beverages,Bakery,Biryani,Desserts,Mexican,North,Indian,Salads,Pizzas,Indian,Chinese,Tandoor,North,Indian,Chinese,Continental,Continental,Fast,Food,Italian,Beverages,Italian,Indian,Continental,Japanese,Asian,Biryani,,North,Indian,,Chinese,Tandoor,North,Indian,Biryani,Beverages,Desserts,North,Indian,Ice,Cream,Cakes,,Desserts,,Bakery,,Sweets,,Beverages,Chinese,Asian,Fast,Food,Snacks,Tibetan,Street,Food,Asian,Chinese,Oriental,Thai,Chettinad,North,Indian,Chinese,Thai,Continental,Indian,Chinese,Bengali,North,Indian,,Chinese,,Seafood,Mughlai,North,Indian,Chinese,Seafood,Tandoor,North,Indian,Chinese,Kebabs,Biryani,Mughlai,Tribal,Seafood,Chinese,North,Indian,Biryani,Kerala,Continental,Italian,Italian-American,Chinese,Mughlai,Indian,Snacks,Popular,Brand,Store,Fast,Food,North,Indian,Chinese,Continental,Italian,American,French,Street,Food,Continental,Asian,Chinese,North,Indian,Chinese,Continental,Fast,Food,North,Indian,Chinese,Punjabi,North,Indian,Chinese,North,Indian,Biryani,Mughlai,Chinese,Mexican,Continental,Lebanese,North,Indian,Chinese,Chinese,Italian,Chinese,Chinese,Italian,Pizzas,Pastas,Desserts,Continental,Salads,Bakery,Fast,Food,,Healthy,Food,,Salads,,Snacks,,Desserts,,Beverages,Thai,Pan-Asian,Italian,,Bakery,Chinese,Thai,Pan-Asian,Oriental,Beverages,Snacks,Seafood,Mughlai,Tibetan,Combo,European,Turkish,Asian,British,Salads,German,Fast,Food,Salads,Snacks,Desserts,Beverages,Desserts,Continental,Mexican,Continental,Fast,Food,Italian,Chinese,Asian,Pan-Asian,Thai,Oriental,Italian,Pizzas,North,Indian,Indian,Combo,Chinese,Healthy,Food,Desserts,Bakery,Salads,Continental,Fast,Food,Snacks,Pastas,Bengali,North,Indian,Biryani,Street,Food,Mughlai,Chinese,Tandoor,South,Indian,Biryani,Rayalaseema,Mughlai,North,Indian,Chinese,Fast,Food,Punjabi,North,Indian,Chinese,Fast,Food,American,Italian,Beverages,Mughlai,Indian,Chinese,Biryani,Desserts,Asian,Beverages,Bakery,Italian,Continental,Pizzas,Italian-American,North,Indian,Continental,Italian,Pizzas,Fast,Food,Indian,Continental,Tandoor,North,Indian,Mexican,Continental,Italian,North,Indian,Mughlai,Tandoor,Kebabs,Indian,Beverages,Biryani,Punjabi,Seafood,Afghani,Thalis,Combo,Snacks,Barbecue,Home,Food,Lucknowi,Ice,Cream,Beverages,Fast,Food,Italian,Desserts,Indian,Bengali,Italian,Desserts,Continental,North,Indian,Chinese,Fast,Food,Chinese,Seafood,Pizzas,Fast,Food,Chettinad,North,Indian,Chinese,South,Indian,Biryani,Italian,Salads,Healthy,Food,French,Indian,North,Indian,Chinese,Mexican,Italian,Thai,Lebanese,Chinese,South,Indian,North,Indian,Chinese,Beverages,Biryani,Andhra,Rayalaseema,South,Indian,North,Indian,Chinese,Bakery,,Continental,Chinese,Thai,Bakery,Cafe,Bakery,Desserts,Chinese,Fast,Food,Asian,American,Fast,Food,Mangalorean,Biryani,Seafood,Chinese,North,Indian,Desserts,South,Indian,Combo,European,Italian,American,Pastas,Salads,Juices,Desserts,Combo,Chinese,Chinese,Chinese,Fast,Food,North,Indian,North,Indian,Beverages,Fast,Food,Salads,Snacks,Desserts,Beverages,North,Indian,Chinese,North,Indian,Chinese,Biryani,Mughlai,North,Indian,Indian,Kebabs,Tandoor,Fast,Food,,Pizzas,Biryani,Indian,Indian,Ice,Cream,Desserts,Mughlai,North,Indian,Chinese,Fast,Food,Continental,Chinese,Seafood,Thai,Japanese,Tandoor,North,Indian,Chinese,South,Indian,Street,Food,Desserts,Sweets,Pizzas,Fast,Food,Bengali,Chinese,Biryani,North,Indian,Biryani,,Mughlai,,North,Indian,,Indian,,Kebabs,,Tandoor,,Awadhi,North,Indian,Chinese,North,Indian,,Chinese,,Seafood,Continental,European,Salads,Italian,Maharashtrian,Punjabi,Seafood,North,Indian,Indian,Biryani,Chinese,Punjabi,Continental,European,Street,Food,North,Indian,Chinese,South,Indian,Fast,Food,North,Indian,,Chinese,Ice,Cream,Desserts,Bakery,North,Indian,Chinese,Biryani,Bakery,Pizzas,Snacks,Chinese,Italian,American,Sweets,Desserts,Beverages,Pizzas,North,Indian,Chinese,Fast,Food,Chinese,Oriental,Thai,Pan-Asian,Seafood,Asian,Desserts,Kerala,Lebanese,,Middle,Eastern,Biryani,North,Indian,Chinese,Street,Food,Chinese,Mediterranean,Seafood,Thai,Chinese,Mughlai,Indian,Italian,Continental,Desserts,,Fast,Food,,Bakery,Chinese,Seafood,North,Indian,Chinese,Biryani,Punjabi,Desserts,Pan-Asian,Tandoor,Combo,Beverages,Indian,Grill,Italian,Fast,Food,Salads,Snacks,Desserts,Beverages,Mughlai,Street,Food,Chettinad,North,Indian,Mangalorean,Seafood,American,European,Desserts,Sweets,North,Indian,Chinese,Continental,Continental,Chinese,South,Indian,Ice,Cream,Desserts,Mughlai,North,Indian,Desserts,Mughlai,Indian,Tandoor,Indian,,Chinese,,South,Indian,,Continental,Italian,Continental,North,Indian,Chinese,Chinese,Thai,Asian,Beverages,Desserts,Oriental,Seafood,Pan-Asian,Biryani,Andhra,Rayalaseema,South,Indian,North,Indian,Chinese,Continental,North,Indian,Chinese,Kerala,Biryani,North,Indian,Chinese,Healthy,Food,Fast,Food,Beverages,Chinese,Chinese,North,Indian,Biryani,Chinese,Mughlai,North,Indian,Chinese,Indian,Chinese,Continental,Pizzas,Salads,Combo,Italian,Mexican,Desserts,Beverages,Chinese,Asian,Thai,Seafood,Pizzas,Biryani,Ice,Cream,Desserts,Continental,Japanese,North,Indian,Chinese,Chinese,Asian,Thai,Beverages,,Snacks,,Desserts,Mexican,Continental,Sweets,,Desserts,,Bakery,,Beverages,Italian,Italian-American,American,Fast,Food,Punjabi,North,Indian,Tandoor,Biryani,Combo,American,Mexican,American,Italian,Fast,Food,North,Indian,Fast,Food,Italian,Pizzas,Fast,Food,Chinese,Chinese,Thai,Bakery,Continental,Fast,Food,Desserts,Continental,,Italian,,Fast,Food,,Beverages,,Desserts,North,Indian,Tandoor,Mughlai,Biryani,Snacks,Desserts,Beverages,Combo,Chinese,,North,Indian,,Continental,,Pan-Asian,,Italian,,American,,Tandoor,,Fast,Food,,Desserts,North,Indian,Chinese,South,Indian,Chinese,Indian,,Chinese,,Fast,Food,North,Indian,Chinese,Chettinad,South,Indian,Seafood,Biryani,South,Indian,Tandoor,North,Indian,Chinese,Mediterranean,Continental,Biryani,Mughlai,Lucknowi,Hyderabadi,Kebabs,North,Indian,Persian,Desserts,Indian,Chinese,Continental,Mughlai,,North,Indian,,Chinese,,Seafood,Pizzas,Pastas,Italian,European,Salads,Continental,Desserts,Beverages,Combo,Snacks,Beverages,Desserts,Indian,Italian,Chinese,Continental,Indian,Maharashtrian,Andhra,South,Indian,Chinese,Biryani,Bengali,Bengali,Mughlai,North,Indian,Chinese,Fast,Food,Biryani,North,Indian,Fast,Food,Indian,Chinese,Tandoor,Biryani,Hyderabadi,North,Indian,Chinese,Beverages,North,Indian,Chinese,Chinese,Continental,Spanish,Indian,Bengali,Continental,Chinese,Asian,Oriental,Pan-Asian,Thai,Seafood,Chinese,Asian,Oriental,Pan-Asian,Thai,Seafood,North,Indian,Chinese,Indian,Chinese,North,Indian,Punjabi,Tandoor,Kebabs,Biryani,Seafood,Oriental,Desserts,Sweets,Beverages,Combo,North,Indian,Chinese,Chinese,Italian,American,Chinese,Indian,Chinese,Chinese,Thai,Malaysian,European,Italian,Continental,Healthy,Food,Salads,Pizzas,Beverages,Fast,Food,Biryani,Chinese,North,Indian,North,Indian,South,Indian,Sweets,Indian,Chinese,South,Indian,American,Kebabs,Mughlai,Biryani,Combo,Biryani,Mughlai,Lucknowi,Hyderabadi,Kebabs,North,Indian,Persian,Desserts,American,Salads,Mexican,Italian,Steakhouse,Chinese,North,Indian,Chinese,Biryani,Continental,Mughlai,Pizzas,North,Indian,Chettinad,Chinese,South,Indian,Biryani,Tandoor,American,Mexican,Indian,Chinese,South,Indian,American,Fast,Food,Kebabs,Mughlai,Biryani,Combo,Chinese,Chinese,North,Indian,Indian,Chinese,Tandoor,North,Indian,Chinese,Ice,Cream,Desserts,Bakery,American,Fast,Food,Snacks,Biryani,Chinese,Andhra,North,Indian,South,Indian,Tandoor,Biryani,Chinese,Andhra,North,Indian,South,Indian,Tandoor,Desserts,Bakery,Maharashtrian,Malwani,Mangalorean,Goan,Konkan,Continental,North,Indian,Mughlai,Kebabs,Mediterranean,Greek,Turkish,Lebanese,Fast,Food,Portuguese,African,Grill,Salads,Combo,Snacks,Beverages,Desserts,Indian,Indian,North,Indian,Chinese,Italian,Pizzas,Thai,Chinese,Beverages,Desserts,Continental,Chinese,Tibetan,Street,Food,Fast,Food,Beverages,Chinese,Thai,Indian,Chinese,Continental,Chinese,Arabian,Biryani,Chinese,Grill,Hyderabadi,Indian,North,Indian,Tandoor,Beverages,Snacks,Desserts,Beverages,,Snacks,,Desserts,Chinese,Maharashtrian,North,Indian,Italian,Pizzas,Chinese,Mughlai,North,Indian,Continental,Bengali,Indian,Chinese,Tandoor,Biryani,Fast,Food,North,Indian,Snacks,North,Indian,,Chinese,,Seafood,Bakery,Desserts,American,Italian,Beverages,Indian,Chinese,Desserts,North,Indian,South,Indian,Chinese,Fast,Food,Juices,Tandoor,Tibetan,Healthy,Food,Asian,Chinese,Snacks,Continental,Desserts,Beverages,Continental,Italian,Japanese,Sushi,Thai,North,Indian,Chinese,Mexican,Continental,Mughlai,Thai,North,Indian,Chinese,Seafood,Biryani,South,Indian,,Continental,,Beverages,,Ice,Cream,Combo,Snacks,Beverages,Desserts,Indian,Snacks,Fast,Food,Street,Food,Beverages,Desserts,Bakery,Biryani,South,Indian,Indian,Indian,Chinese,Chinese,Bengali,North,Indian,Chinese,Chinese,North,Indian,Chinese,Fast,Food,South,Indian,Japanese,Pan-Asian,Chinese,Mughlai,North,Indian,Chinese,North,Indian,Chinese,Biryani,Biryani,Andhra,South,Indian,North,Indian,Italian,Continental,Arabian,Bakery,Asian,Chinese,Chinese,North,Indian,South,Indian,Indian,Chinese,North,Indian,Chinese,Snacks,North,Indian,Chinese,Fast,Food,Indian,Kebabs,Italian,Snacks,Desserts,Continental,Beverages,Combo,Fast,Food,Mughlai,Chinese,Chinese,Continental,Fast,Food,Snacks,Indian,Biryani,Chinese,Tandoor,Italian,Steakhouse,Continental,Beverages,,Snacks,,Desserts,Mughlai,North,Indian,Chinese,Seafood,North,Indian,Chinese,American,Fast,Food,North,Indian,Chinese,Malwani,Maharashtrian,Mughlai,North,Indian,Chinese,South,Indian,Asian,Japanese,Korean,North,Indian,Chinese,Continental,Continental,Mughlai,Chinese,Tandoor,Biryani,Fast,Food,North,Indian,Desserts,Bakery,Beverages,Fast,Food,Combo,Biryani,North,Indian,Indian,Maharashtrian,North,Indian,Seafood,Malwani,Mughlai,North,Indian,North,Indian,Chinese,North,Indian,Biryani,Maharashtrian,Street,Food,North,Indian,Chinese,Beverages,South,Indian,North,Indian,Chinese,Punjabi,Biryani,Tandoor,Mughlai,North,Indian,Chinese,Fast,Food,Mughlai,North,Indian,Chinese,Biryani,Indian,Chinese,Tandoor,Indian,Chinese,Tandoor,Lebanese,Continental,Indian,Pizzas,Italian,Pastas,North,Indian,Chinese,Thai,North,Indian,,Malwani,,Continental,,South,Indian,,Chinese,,Asian,,Mughlai,Pizzas,Italian,Continental,Chettinad,South,Indian,North,Indian,Chinese,Fast,Food,Maharashtrian,Seafood,North,Indian,South,Indian,Malaysian,Indian,Indian,Chinese,North,Indian,Tandoor,Pizzas,Italian,Pizzas,Fast,Food,Fast,Food,Continental,European,Mughlai,Chinese,Seafood,Mughlai,North,Indian,Chinese,Asian,Thai,Tibetan,Mongolian,Combo,Vietnamese,Burmese,Pan-Asian,North,Indian,Chinese,Seafood,Biryani,Asian,South,Indian,Biryani,Kebabs,Biryani,Hyderabadi,North,Indian,Indian,Tandoor,Punjabi,Beverages,Desserts,Biryani,Hyderabadi,North,Indian,Indian,Tandoor,Punjabi,Continental,Chinese,North,Indian,European,Continental,American,Fast,Food,Asian,Desserts,North,Indian,Chinese,Lebanese,Biryani,Chinese,Mughlai,Street,Food,North,Indian,Chinese,South,Indian,Bakery,Indian,Chinese,Andhra,Tandoor,Continental,South,Indian,Street,Food,Maharashtrian,Snacks,Mughlai,North,Indian,Thalis,Desserts,Beverages,Sweets,North,Indian,Chinese,North,Indian,Chinese,Seafood,Indian,Chinese,Tandoor,Indian,Chinese,Biryani,Snacks,Desserts,North,Indian,Chinese,Fast,Food,Naga,Chinese,Continental,North,Indian,Chinese,Fast,Food,Bakery,Ice,Cream,Beverages,Desserts,Tandoor,Maharashtrian,Indian,Chinese,Continental,Mexican,Asian,North,Indian,Continental,Home,Food,Indian,Arabian,Lebanese,Pastas,American,Biryani,North,Indian,Snacks,Chinese,Beverages,Fast,Food,Portuguese,African,Grill,Salads,Mughlai,,North,Indian,,Chinese,Desserts,Bakery,Beverages,Fast,Food,Combo,Mexican,Italian,American,French,Bakery,Desserts,Sweets,Continental,,Fast,Food,,North,Indian,,Street,Food,Chinese,Biryani,Indian,Oriental,Italian,Snacks,Chinese,Desserts,Ice,Cream,Indian,Combo,Beverages,Kebabs,Healthy,Food,Continental,North,Indian,Chinese,Bengali,Biryani,Indian,Tandoor,Indian,Chinese,South,Indian,Biryani,Japanese,Asian,Thai,Italian,Beverages,Fast,Food,North,Indian,Biryani,Afghani,Fast,Food,Combo,Salads,Pizzas,Italian,Continental,European,Mediterranean,Desserts,Fast,Food,Combo,Salads,Pizzas,Italian,Continental,European,Mediterranean,Desserts,Biryani,Maharashtrian,North,Indian,Seafood,North,Indian,Mexican,Continental,Italian,Mediterranean,European,Bakery,Fast,Food,Desserts,North,Indian,Chinese,Pizzas,Italian,Pastas,Chinese,Mediterranean,Chinese,European,Continental,Lebanese,Italian,Indian,Asian,Oriental,Tandoor,Biryani,Desserts,Kerala,North,Indian,,Chinese,Chinese,Bakery,Desserts,Pizzas,Beverages,North,Indian,Chinese,Biryani,North,Indian,Kebabs,Chinese,Italian,Pizzas,Mughlai,North,Indian,Chinese,Seafood,American,Fast,Food,American,Fast,Food,Chinese,Pizzas,North,Indian,Chinese,Seafood,Combo,Pizzas,Desserts,Cafe,Chinese,Japanese,Thai,Burmese,Tibetan,Thalis,Indian,Chinese,Seafood,Desserts,,Bakery,,Sweets,Italian,Chinese,Desserts,Continental,Indian,Fast,Food,Beverages,Mughlai,Biryani,Continental,Pizzas,Bakery,Ice,Cream,Desserts,Chinese,,Thai,Pizzas,North,Indian,Biryani,Kebabs,Indian,Grill,Juices,Seafood,Tandoor,Maharashtrian,Street,Food,Chinese,Beverages,Desserts,Fast,Food,Coastal,Tandoor,Chinese,Chinese,Mughlai,North,Indian,Chinese,Seafood,Chinese,Mangalorean,Biryani,Chinese,Seafood,South,Indian,Indian,Biryani,Mughlai,Biryani,Tandoor,,Arabian,,Grill,,Lucknowi,,Chinese,,Indian,,Beverages,,Mughlai,,Awadhi,,Lebanese,Indian,,Chinese,,Seafood,Chinese,Asian,North,Indian,Chinese,South,Indian,Tandoor,Biryani,Chinese,North,Indian,Kebabs,Desserts,American,Continental,Italian,Bakery,Beverages,American,Bakery,Chinese,Biryani,North,Indian,Maharashtrian,Chinese,Mughlai,,North,Indian,,Chinese,,Seafood,Beverages,Snacks,Desserts,Beverages,Snacks,Desserts,Cafe,Beverages,Snacks,North,Indian,Chinese,South,Indian,Biryani,Arabian,,Biryani,,Mughlai,North,Indian,Chinese,South,Indian,Seafood,Seafood,Ice,Cream,Desserts,Bakery,Chinese,North,Indian,Continental,Indian,Tandoor,Oriental,Chinese,Pastas,Pizzas,North,Indian,Chinese,Mughlai,,North,Indian,,Chinese,,South,Indian,Italian,Desserts,American,Continental,Pan-Asian,Italian,North,Indian,Beverages,Chinese,Burmese,Thai,Mughlai,,Indian,,Chinese,,Tandoor,American,,Fast,Food,,Italian,,Mexican,,Beverages,South,Indian,Biryani,Biryani,Chinese,Desserts,Grill,Juices,Kebabs,North,Indian,Seafood,Tandoor,American,Snacks,Desserts,North,Indian,Chinese,North,Indian,Persian,North,Indian,Chinese,North,Indian,Biryani,Thalis,Kebabs,Maharashtrian,Malwani,Bengali,American,Pan-Asian,Chinese,Italian,Italian,Indian,Indian,Chinese,Continental,Indian,Bakery,North,Indian,Chinese,Desserts,Fast,Food,Bakery,Pizzas,Snacks,Desserts,Arabian,Beverages,Desserts,American,Chinese,Biryani,Mughlai,North,Indian,Haleem,Bakery,Fast,Food,Thalis,North,Indian,Punjabi,Combo,Desserts,Bakery,Fast,Food,Salads,Desserts,Italian,Juices,Beverages,Grill,Maharashtrian,Indian,Beverages,American,Salads,Beverages,Mexican,Desserts,Chinese,Combo,North,Indian,Biryani,Chinese,,Lebanese,,Kebabs,,Mughlai,,Indian,Continental,Pizzas,American,Italian,North,Indian,Chinese,Continental,Chinese,Bengali,Indian,Chinese,Mughlai,Indian,Tandoor,Biryani,Arabian,Ice,Cream,Beverages,Desserts,Indian,Chinese,Tandoor,Biryani,Combo,Snacks,Chinese,Asian,Tibetan,Desserts,Snacks,Fast,Food,Bihari,North,Eastern,Thalis,Desserts,Beverages,European,Italian,Continental,Desserts,Mughlai,,North,Indian,,Chinese,North,Indian,Chinese,Seafood,Biryani,Pizzas,Italian,Pizzas,Fast,Food,Chinese,Thai,Italian,,Pizzas,,Desserts,,Beverages,,Combo,Italian,Pizzas,Desserts,Beverages,Combo,Desserts,Bakery,North,Indian,Desserts,South,Indian,Street,Food,Sweets,Beverages,Snacks,Indian,Indian,Biryani,Arabian,Grill,South,Indian,Pan-Asian,Chinese,Vietnamese,Malaysian,Desserts,Singaporean,Sushi,North,Indian,Chinese,South,Indian,Continental,Fast,Food,North,Indian,Chinese,Seafood,Andhra,Biryani,Desserts,Jain,Mughlai,South,Indian,Coastal,Beverages,Desserts,South,Indian,Chinese,Fast,Food,Asian,Chinese,Tibetan,North,Indian,,Chinese,,Continental,,Mughlai,,Seafood,North,Indian,Chinese,Seafood,Chinese,Snacks,Chinese,Thai,North,Indian,Biryani,Street,Food,Fast,Food,Combo,Beverages,Mangalorean,Chinese,North,Indian,Seafood,North,Indian,Biryani,Indian,Chinese,Chinese,Snacks,Chinese,Asian,Thai,Desserts,Bakery,Sweets,Ice,Cream,Beverages,Juices,Bengali,Parsi,Biryani,Beverages,Indian,Desserts,Street,Food,Bakery,Italian,Mexican,Pastas,Biryani,Mexican,American,Salads,Continental,Keto,Healthy,Food,Chinese,Fast,Food,Beverages,North,Indian,Chinese,Continental,North,Indian,,Chinese,,Mughlai,,Seafood,Arabian,Biryani,Desserts,Mughlai,North,Indian,North,Indian,Biryani,Kebabs,Chinese,Punjabi,Combo,Thalis,Desserts,Sweets,Beverages,Chinese,Thai,Japanese,Tibetan,American,Asian,Chinese,Continental,North,Indian,Pan-Asian,Continental,Italian,Indian,Chinese,Biryani,South,Indian,Chinese,Fast,Food,North,Indian,Mughlai,Biryani,Indian,Fast,Food,Tandoor,North,Indian,Mughlai,Chinese,Tandoor,Fast,Food,,Pizzas,,Beverages,,Desserts,North,Indian,South,Indian,Chinese,American,Pizzas,Continental,Italian,Fast,Food,Desserts,Pastas,Continental,Italian,European,Mexican,North,Indian,,Mughlai,,Chinese,,Seafood,Bakery,Chinese,North,Indian,Indian,Biryani,Punjabi,Fast,Food,Kebabs,Mughlai,Desserts,Bakery,,Continental,North,Indian,Seafood,Chinese,Continental,Biryani,Beverages,Chinese,Continental,Desserts,Ice,Cream,Italian,Jain,North,Indian,Bengali,Chinese,Bakery,Desserts,Fast,Food,,Salads,,Snacks,,Desserts,,Beverages,Juices,Continental,North,Indian,Italian,European,Biryani,Indian,Chinese,Fast,Food,Street,Food,Maharashtrian,Seafood,Arabian,Indian,Chinese,Andhra,Asian,Bengali,Biryani,Chettinad,Coastal,Continental,Desserts,Fast,Food,Italian,Mughlai,North,Indian,Pan-Asian,Seafood,South,Indian,South,Indian,Kerala,Chinese,Thai,North,Indian,South,Indian,American,,Fast,Food,Chinese,Fast,Food,American,Mughlai,Chinese,Biryani,,Desserts,,North,Indian,,Chinese,,Ice,Cream,,Mughlai,,Fast,Food,Italian,Pizzas,Pastas,Continental,Salads,Desserts,Beverages,Combo,Biryani,Chinese,Mughlai,Arabian,North,Indian,Chinese,Continental,Seafood,Beverages,Ice,Cream,Indian,Chinese,Tandoor,Chinese,North,Indian,Biryani,Fast,Food,American,Fast,Food,Chinese,North,Indian,Chinese,South,Indian,Biryani,Pizzas,Fast,Food,Fast,Food,North,Indian,,Chinese,,Biryani,,Kebabs,,Punjabi,,Desserts,,Indian,,Asian,,Pizzas,,Thai,,Jain,Chinese,Fast,Food,Asian,North,Indian,Continental,,Lebanese,Kerala,South,Indian,Seafood,Biryani,Indian,Mughlai,Biryani,Kebabs,South,Indian,Fast,Food,Chinese,Italian,Desserts,Italian-American,Indian,Chinese,Biryani,North,Indian,Combo,Beverages,Desserts,Italian,Continental,Hyderabadi,Mughlai,Biryani,American,Pizzas,Japanese,Chinese,Thai,Singaporean,Burmese,American,Fast,Food,Snacks,Desserts,Fast,Food,Desserts,Bakery,Beverages,Desserts,Tandoor,Indian,Mughlai,Indian,Tandoor,Chinese,Biryani,North,Indian,Chinese,South,Indian,Arabian,Chinese,Indian,Chinese,Continental,Maharashtrian,Healthy,Food,Beverages,Juices,North,Indian,Bengali,Indian,Chinese,Continental,Italian,European,Street,Food,Fast,Food,Italian,Mexican,Pastas,Italian,Mexican,Pastas,North,Indian,Chinese,Mughlai,Biryani,Tandoor,Combo,Sweets,,Desserts,North,Indian,Mughlai,Biryani,Desserts,North,Indian,Italian,Bakery,Biryani,Chinese,Grill,Indian,North,Indian,South,Indian,Tandoor,Continental,Fast,Food,Street,Food,Chinese,Indian,Continental,Desserts,Bakery,Biryani,,North,Indian,,Chinese,,Mughlai,,Tandoor,Chinese,Asian,Desserts,Beverages,Pizzas,Italian,Chinese,North,Indian,Chinese,Fast,Food,Snacks,Chaat,Street,Food,Beverages,Combo,North,Indian,Indian,Maharashtrian,Rajasthani,Indian,,Chinese,Fast,Food,Combo,Chinese,Chinese,Ice,Cream,Bakery,Desserts,Beverages,Pizzas,Pastas,Italian,Indian,American,Chinese,Fast,Food,Mexican,Beverages,Desserts,Healthy,Food,Snacks,Salads,Combo,Fast,Food,Mughlai,Snacks,Indian,Ice,Cream,Bakery,Desserts,Beverages,Bakery,Desserts,Beverages,Chinese,Thai,Indian,Indian,Chinese,Continental,South,Indian,Continental,Tandoor,North,Indian,Chinese,Beverages,Fast,Food,Mexican,Italian,Indian,North,Indian,Mughlai,Chinese,Fast,Food,Indian,Mughlai,Snacks,Continental,Asian,Italian,North,Indian,Continental,Pizzas,Cafe,Pastas,Desserts,Chinese,,Continental,,Italian,,Mediterranean,,Thai,,Lebanese,,American,,Asian,,Beverages,,Bakery,,Biryani,,Desserts,,Mexican,,North,Indian,,Salads,,Pizzas,Street,Food,Chinese,Mughlai,North,Indian,Italian,Mexican,Continental,Fast,Food,Chinese,Mughlai,Hyderabadi,North,Indian,Biryani,Mughlai,Fast,Food,North,Indian,Gujarati,Sweets,American,Asian,Chinese,Continental,Desserts,Italian,Jain,Mexican,Pizzas,Mughlai,North,Indian,Chinese,Biryani,Chinese,North,Indian,North,Indian,Biryani,Combo,Fast,Food,Salads,Snacks,Desserts,Beverages,Italian,Indian,Tandoor,Chinese,Oriental,Thai,Pan-Asian,Seafood,Asian,Desserts,Fast,Food,Continental,Pizzas,Snacks,Italian,Beverages,North,Indian,Chinese,Mughlai,Fast,Food,Indian,Chinese,North,Indian,Biryani,Punjabi,Pan-Asian,Mughlai,Thalis,Asian,Combo,Bengali,Chinese,Seafood,Chinese,Desserts,Beverages,Pizzas,Snacks,Fast,Food,Fast,Food,Biryani,Mughlai,Lucknowi,Hyderabadi,Kebabs,North,Indian,Persian,Desserts,American,Fast,Food,Desserts,Italian,Chinese,Beverages,Desserts,Beverages,Ice,Cream,Bakery,Desserts,Beverages,Indian,Chinese,Italian,American,North,Indian,Biryani,Thalis,Desserts,Cafe,Desserts,Bakery,Asian,,Chinese,,Pan-Asian,,Thai,,Oriental,,Indonesian,,Seafood,,Desserts,,Combo,Combo,Snacks,Beverages,Desserts,Indian,American,Fast,Food,Chinese,Tibetan,North,Indian,Chinese,Continental,Thai,Mexican,Seafood,Asian,Bakery,Continental,Arabian,Asian,Chinese,Bengali,Italian,North,Indian,Mughlai,Snacks,Biryani,Chettinad,Bakery,Indian,Bengali,Biryani,Mughlai,North,Indian,Chinese,Continental,Italian,Desserts,Chaat,Juices,American,Continental,Desserts,Pizzas,Pastas,Bakery,Indian,Arabian,,Street,Food,Fast,Food,Beverages,Snacks,Desserts,North,Indian,Biryani,Chinese,Italian,Healthy,Food,Kebabs,Beverages,Desserts,Indian,Chinese,Tandoor,,Indian,Continental,Asian,Andhra,Chinese,Chinese,Thai,Naga,Continental,Seafood,Chinese,,Pan-Asian,,Asian,,Beverages,,Desserts,Pizzas,Italian,Italian,Mexican,Pastas,Biryani,Arabian,Fast,Food,Continental,American,Italian,Chinese,Mughlai,Tandoor,Biryani,Bakery,Desserts,Indian,Chinese,Indian,Continental,Chinese,Italian,North,Indian,North,Indian,Chinese,Biryani,South,Indian,Hyderabadi,Biryani,North,Indian,Chinese,Fast,Food,Grill,North,Indian,Pizzas,Fast,Food,Fast,Food,Continental,Italian,Combo,Beverages,Indian,Tandoor,Mughlai,Snacks,Chinese,North,Indian,Continental,American,Indian,Chinese,Continental,North,Indian,,Chinese,,Biryani,,South,Indian,,Fast,Food,North,Indian,Bengali,Biryani,Street,Food,Italian,Bakery,Indian,,South,Indian,,Chinese,Indian,Chinese,Mughlai,Seafood,Fast,Food,North,Indian,North,Indian,Chinese,Chinese,North,Indian,Biryani,South,Indian,North,Indian,Chinese,Maharashtrian,Thalis,North,Indian,Indian,Chinese,Chinese,Fast,Food,Healthy,Food,Salads,Snacks,Desserts,Beverages,Arabian,Fast,Food,Fast,Food,Bengali,North,Indian,Mughlai,Indian,Chinese,Andhra,South,Indian,Biryani,Combo,Beverages,Desserts,Snacks,Desserts,Beverages,Fast,Food,Pizzas,North,Indian,Chinese,Chinese,Tandoor,Indian,Biryani,Kebabs,Beverages,Ice,Cream,Juices,Desserts,Snacks,Tibetan,Healthy,Food,Asian,Chinese,Snacks,Continental,Desserts,Beverages,Gujarati,Rajasthani,North,Indian,Chinese,Indian,Bengali,Thalis,Indian,Chinese,Beverages,Biryani,Chettinad,North,Indian,Chinese,American,European,Fast,Food,Chinese,,Fast,Food,Lebanese,Desserts,Beverages,Bakery,Sweets,Tibetan,Chinese,Fast,Food,Indian,Mughlai,Chinese,Indian,Chinese,Maharashtrian,Biryani,Seafood,Desserts,Bakery,Chaat,Fast,Food,South,Indian,Italian,Continental,Italian,Chinese,Fast,Food,Indian,Chinese,Pan-Asian,Pizzas,Desserts,Fast,Food,American,Fast,Food,Seafood,,Malwani,,Indian,North,Indian,Chinese,Biryani,Indian,Indian,Fast,Food,Fast,Food,North,Indian,Chinese,North,Indian,Salads,Continental,Juices,Healthy,Food,Arabian,Bakery,Desserts,American,Italian,Italian,Pizzas,North,Indian,Chinese,Biryani,Hyderabadi,Snacks,Biryani,Chinese,South,Indian,North,Indian,Tandoor,American,Fast,Food,Indian,Chinese,North,Indian,Chinese,Biryani,South,Indian,Arabian,Tandoor,Mughlai,Biryani,North,Indian,South,Indian,Indian,Chinese,Chettinad,Chinese,South,Indian,Seafood,Biryani,North,Indian,Chinese,Fast,Food,Chinese,Indian,Indian,Chinese,Indian,Chinese,Fast,Food,Arabian,Asian,Biryani,Continental,Italian,Kebabs,North,Indian,Seafood,North,Indian,Biryani,Asian,Indian,Tandoor,Tibetan,Chinese,Desserts,Ice,Cream,Snacks,Indian,Jain,American,Bakery,Beverages,Continental,Desserts,Fast,Food,Pastas,Pizzas,Thai,American,Snacks,Fast,Food,Pizzas,Italian,American,Continental,Salads,Desserts,Chinese,Pan-Asian,Chinese,Fast,Food,Thai,Snacks,Beverages,Cafe,Indian,Chinese,Desserts,Bakery,Snacks,Fast,Food,Bengali,Thalis,North,Indian,Snacks,Combo,Healthy,Food,Indian,Chinese,Indian,Continental,South,Indian,North,Indian,Chinese,Fast,Food,North,Indian,Chinese,American,Beverages,Fast,Food,North,Indian,Mughlai,Indian,Chinese,Continental,Biryani,Fast,Food,Kebabs,Punjabi,Chinese,Maharashtrian,Desserts,Snacks,Chaat,Ice,Cream,North,Indian,American,European,Asian,Kerala,Fast,Food,Biryani,North,Indian,Chinese,Bakery,Combo,Beverages,Maharashtrian,Snacks,Street,Food,South,Indian,Punjabi,Fast,Food,Kerala,South,Indian,Chinese,North,Indian,Biryani,Chettinad,South,Indian,Chinese,Afghani,Arabian,Indian,Tandoor,Mughlai,Chinese,Combo,Fast,Food,North,Indian,South,Indian,Punjabi,Pizzas,Italian,Snacks,Chinese,Chinese,Desserts,Andhra,Chinese,Mughlai,North,Indian,Seafood,North,Indian,South,Indian,Chinese,Biryani,Indian,North,Indian,Indian,Chinese,Continental,Fast,Food,Pizzas,Indian,North,Indian,Chinese,Punjabi,Beverages,Continental,,Italian,Indian,Chinese,Continental,Tandoor,Bengali,Indian,Bengali,Chinese,Fast,Food,Indian,Chinese,Mughlai,North,Indian,Chinese,Biryani,Chinese,Tibetan,North,Indian,Chinese,Mughlai,Beverages,Biryani,Chinese,North,Indian,Desserts,Continental,Cafe,Fast,Food,Chinese,Indian,Tandoor,Biryani,Fast,Food,Snacks,Pizzas,Italian,Salads,Desserts,Sweets,Snacks,Indian,Desserts,Chinese,North,Indian,Arabian,Chinese,Desserts,Mughlai,North,Indian,Seafood,South,Indian,Pizzas,Chinese,Juices,Italian,,Continental,Indian,Chinese,Indian,Chinese,Continental,Italian,Thai,South,Indian,Desserts,Combo,Thalis,Desserts,Bakery,North,Indian,Fast,Food,American,Indian,Steakhouse,Pastas,American,Pizzas,Italian,Desserts,Chinese,Tibetan,Chinese,Biryani,South,Indian,Biryani,North,Indian,Chinese,Indian,,Chinese,,Mangalorean,Chinese,North,Indian,Continental,Indian,Chinese,American,Juices,Street,Food,Pizzas,North,Indian,Chinese,Biryani,North,Indian,Chinese,Biryani,Snacks,Japanese,Chinese,Pan-Asian,Sushi,Cafe,,Desserts,,Beverages,Bakery,Biryani,Chinese,Biryani,Chinese,Chinese,Indian,Mughlai,Fast,Food,Beverages,Desserts,Biryani,Maharashtrian,Indian,Biryani,Beverages,Chinese,Italian,Desserts,Bakery,Fast,Food,North,Indian,Mughlai,Indian,Punjabi,Tandoor,Biryani,Thai,Asian,Salads,Seafood,Pan-Asian,Bakery,Desserts,Indian,Chinese,Continental,Bakery,North,Indian,Chinese,Healthy,Food,Beverages,Juices,Andhra,South,Indian,Biryani,Indian,Tandoor,Seafood,Chinese,Indian,Mughlai,Indian,Chinese,Continental,Chinese,Indian,Biryani,Pizzas,Italian,Chinese,North,Indian,Chaat,Beverages,Biryani,North,Indian,Chinese,Indian,Chinese,Continental,North,Indian,Chinese,Biryani,Chinese,Arabian,Fast,Food,Italian,Chinese,Snacks,Chinese,North,Indian,South,Indian,Chinese,North,Indian,Chinese,Fast,Food,American,Biryani,Lebanese,Indian,Chinese,Thai,Indian,Chinese,Coastal,Malwani,Kerala,South,Indian,Arabian,Chinese,Chettinad,South,Indian,North,Indian,Chinese,Bakery,Desserts,Fast,Food,North,Indian,Chettinad,Chinese,Seafood,North,Indian,North,Indian,South,Indian,Chettinad,North,Indian,Chinese,Fast,Food,Arabian,Lebanese,Middle,Eastern,Mediterranean,Fast,Food,Burmese,Indian,Chinese,Arabian,North,Indian,Chinese,Biryani,Indian,Chinese,North,Indian,South,Indian,Grill,Barbecue,Tandoor,Biryani,North,Indian,Pizzas,Fast,Food,Italian,Desserts,Desserts,Bakery,American,Fast,Food,Keto,Beverages,Snacks,Fast,Food,Indian,Chinese,Chinese,Tibetan,Nepalese,Pan-Asian,Seafood,Biryani,Barbecue,South,Indian,Chinese,North,Indian,North,Indian,Chinese,Continental,Pizzas,Fast,Food,Chinese,North,Indian,Chinese,South,Indian,American,Fast,Food,Snacks,Biryani,North,Indian,Tandoor,Hyderabadi,Kebabs,Chinese,Biryani,North,Indian,Tandoor,Chinese,South,Indian,Indian,Mediterranean,Lebanese,Mughlai,North,Indian,Chinese,Salads,Pizzas,Italian,Desserts,Beverages,Indian,Italian,Chinese,Continental,Italian,Biryani,Fast,Food,Street,Food,Fast,Food,Pizzas,Italian,Desserts,Ice,Cream,Desserts,Indian,Chinese,Continental,Pizzas,Chinese,North,Indian,Desserts,Punjabi,Indian,Healthy,Food,Pastas,Beverages,Continental,Italian,Continental,Maharashtrian,North,Indian,Salads,Raw,meats,American,Indian,Chinese,Fast,Food,Biryani,Chinese,Beverages,Juices,Biryani,South,Indian,Combo,American,Biryani,Chinese,North,Indian,Indian,Continental,Fast,Food,Biryani,Indian,Chinese,Pizzas,,Pastas,,Italian,,Snacks,,Continental,,Desserts,,American,,Salads,Biryani,Fast,Food,Snacks,Desserts,Beverages,Fast,Food,Indian,Biryani,North,Indian,Mughlai,South,Indian,North,Indian,Italian,Continental,French,Japanese,Korean,Thai,South,American,Fast,Food,Andhra,Chettinad,Chinese,Desserts,North,Indian,Seafood,American,,Continental,,Italian,,Pastas,,Snacks,,Desserts,,Beverages,Arabian,Bakery,Desserts,American,Salads,Mexican,Italian,Steakhouse,North,Indian,Biryani,Chinese,Indian,North,Indian,Punjabi,Indian,Continental,South,Indian,North,Indian,Chinese,Desserts,,Beverages,Indian,Seafood,Indian,Chinese,Beverages,Snacks,Bakery,Continental,Chinese,Indian,Italian,European,American,Cafe,Fast,Food,Beverages,Italian,Mexican,Biryani,Chinese,Kebabs,North,Indian,Fast,Food,Continental,Burmese,Indian,Chinese,Arabian,American,Italian,Continental,Indian,Healthy,Food,American,Lebanese,Mediterranean,European,Juices,Middle,Eastern,Italian,Chinese,Indian,Desserts,Beverages,Desserts,South,Indian,Pizzas,Fast,Food,South,Indian,Haleem,Arabian,Biryani,Tandoor,Chinese,Indian,Desserts,Kebabs,Mughlai,South,Indian,North,Indian,Fast,Food,,Middle,Eastern,,Cafe,North,Indian,Chinese,Bakery,,Desserts,European,Mediterranean,Continental,Desserts,Chinese,Maharashtrian,North,Indian,Desserts,South,Indian,Healthy,Food,North,Indian,Beverages,Desserts,Indian,Chinese,Beverages,Chinese,Biryani,North,Indian,Fast,Food,South,Indian,Pizzas,Juices,Beverages,Indian,Chinese,Indian,Chinese,North,Indian,Tandoor,Biryani,Kebabs,Punjabi,Arabian,Turkish,Tibetan,Fast,Food,Healthy,Food,Asian,Chinese,Snacks,Continental,Desserts,Beverages,Ice,Cream,Desserts,Sweets,Snacks,Sweets,Snacks,Indian,Continental,Indian,,Chinese,,Pizzas,,Pastas,,Snacks,,Biryani,,Continental,,Beverages,,Desserts,Oriental,Indian,Chinese,Tandoor,Mughlai,Indian,Chinese,Arabian,Biryani,Beverages,Desserts,Afghani,Biryani,Bakery,Pizzas,Fast,Food,Chinese,Italian,American,Sweets,Desserts,Beverages,Chinese,Indian,Chinese,Continental,Snacks,Beverages,Italian,Desserts,North,Indian,Chinese,Biryani,Chinese,North,Indian,Indian,Chinese,Continental,North,Indian,Biryani,Punjabi,Thalis,Tandoor,Combo,Pastas,Snacks,Beverages,Street,Food,North,Indian,South,Indian,Chinese,Indian,Mongolian,Continental,Chinese,Pan-Asian,Beverages,Italian,Continental,Indian,,Chinese,North,Indian,South,Indian,Chinese,Bakery,Desserts,Beverages,Snacks,Juices,Pizzas,Chinese,Indian,Indian,Chinese,Mughlai,North,Indian,Indian,Biryani,Punjabi,Kebabs,Grill,Mughlai,Desserts,Indian,Thalis,Biryani,Lebanese,Kebabs,Bakery,Desserts,Beverages,Pizzas,Pastas,Snacks,Fast,Food,American,Mughlai,Chinese,Continental,Indian,Italian,Bakery,Combo,Beverages,Maharashtrian,Snacks,Street,Food,South,Indian,Punjabi,Fast,Food,Desserts,Chinese,South,Indian,North,Indian,Chinese,Italian,Fast,Food,Desserts,Beverages,Indian,North,Indian,Punjabi,Chinese,Biryani,North,Indian,Chinese,Continental,Mexican,Chinese,North,Indian,Indian,Fast,Food,North,Indian,Biryani,Fast,Food,Bakery,Indian,Desserts,,Bakery,American,Mexican,Biryani,Continental,Indian,Chinese,South,Indian,Kerala,Seafood,American,Pizzas,Fast,Food,Biryani,Snacks,Combo,North,Indian,Punjabi,Combo,Biryani,Healthy,Food,Jain,Thalis,Indian,Mughlai,Desserts,North,Indian,Punjabi,Combo,Biryani,Healthy,Food,Jain,Thalis,Indian,Mughlai,Desserts,North,Indian,Punjabi,Combo,Biryani,Healthy,Food,Jain,Thalis,Indian,Mughlai,Desserts,North,Indian,Punjabi,Combo,Biryani,Healthy,Food,Jain,Thalis,Indian,Mughlai,Desserts,European,Continental,Biryani,North,Indian,Kebabs,Mughlai,Grill,Fast,Food,Beverages,Combo,Sweets,Desserts,North,Indian,Fast,Food,Indian,Chinese,Chinese,Oriental,Asian,Pan-Asian,Thai,Seafood,Fast,Food,North,Indian,Biryani,Seafood,South,Indian,Ice,Cream,,Beverages,,Fast,Food,Biryani,Mughlai,Indian,Beverages,Indian,Chinese,Pizzas,Italian,North,Indian,Chinese,South,Indian,Indian,Chinese,Indian,Chinese,Indian,Chinese,Snacks,North,Indian,,Chinese,Seafood,Indian,Chinese,Italian,Indian,Continental,Indian,Mughlai,Chinese,Biryani,Indian,Punjabi,Chinese,Mughlai,Biryani,Tandoor,Pizzas,Thalis,Desserts,Bakery,Beverages,Fast,Food,Healthy,Food,Salads,Snacks,Desserts,Beverages,Indian,Indian,Chinese,Continental,Desserts,Beverages,North,Indian,Home,Food,North,Indian,South,Indian,Beverages,Chettinad,Combo,Desserts,Hyderabadi,Indian,Lucknowi,Maharashtrian,Mangalorean,Punjabi,Rajasthani,Snacks,Sweets,Thalis,Indian,Fast,Food,Chinese,Tandoor,Snacks,Biryani,Chinese,Tibetan,Indian,Chinese,Continental,Bengali,Indian,Bangladeshi,Indian,Chinese,Tandoor,Chinese,Seafood,Pan-Asian,Vietnamese,Malaysian,Singaporean,Thai,American,,Continental,North,Indian,Continental,Fast,Food,Lebanese,North,Indian,Chinese,Arabian,Lebanese,Mediterranean,Biryani,Desserts,Ice,Cream,Biryani,Indian,Chinese,Continental,Lebanese,Turkish,Arabian,Fast,Food,Healthy,Food,Beverages,Indian,Mughlai,North,Indian,Combo,Asian,Chinese,North,Indian,North,Indian,Kebabs,Biryani,Chinese,Continental,Fast,Food,Mughlai,Chinese,Continental,Italian,Mediterranean,Thai,Lebanese,American,Asian,Beverages,Bakery,Biryani,Desserts,Mexican,North,Indian,Salads,Pizzas,Indian,Chinese,Fast,Food,,Beverages,,Thalis,Indian,Chinese,Thai,North,Indian,Desserts,Fast,Food,Jain,North,Indian,Continental,Fast,Food,Italian,Beverages,Thai,North,Indian,Indian,Biryani,Punjabi,Kebabs,Mughlai,Desserts,Indian,Chinese,Coastal,Seafood,Fast,Food,Bakery,Fast,Food,Italian,Beverages,Sindhi,,North,Indian,,Snacks,Italian,Continental,North,Indian,Mughlai,Pizzas,Bakery,Biryani,Sweets,Indian,Fast,Food,Biryani,Tandoor,Sweets,Beverages,Street,Food,Arabian,Indian,Chinese,Fast,Food,Chinese,Thai,North,Indian,Cafe,Desserts,Ice,Cream,Beverages,Pastas,Salads,Continental,Chinese,Indian,Desserts,,Snacks,,Bakery,Goan,Portuguese,Italian-American,,European,,Continental,Fast,Food,Indian,,Chinese,,Continental,North,Indian,Mughlai,Punjabi,North,Indian,Mughlai,Seafood,Chinese,Tandoor,Fast,Food,Pan-Asian,Continental,Indian,,Chinese,Bakery,Combo,Beverages,Maharashtrian,Snacks,Street,Food,South,Indian,Punjabi,Fast,Food,Seafood,Kerala,Biryani,Juices,Desserts,Beverages,Indian,Chinese,Continental,Fast,Food,Salads,Snacks,Desserts,Beverages,North,Indian,Chinese,Fast,Food,Chinese,Indian,Desserts,Punjabi,Asian,Fast,Food,Chinese,Indian,Desserts,Punjabi,Asian,Sweets,Desserts,North,Indian,,Chinese,,Biryani,South,Indian,North,Indian,Chinese,Chinese,Street,Food,Fast,Food,North,Indian,Chinese,Oriental,Continental,Desserts,Indian,Chinese,Indian,Chinese,South,Indian,North,Indian,Indian,Chinese,Continental,Chinese,Combo,Beverages,North,Indian,Italian,Chinese,Fast,Food,Chinese,Fast,Food,Fast,Food,North,Indian,Biryani,Mughlai,Chinese,Punjabi,Fast,Food,Punjabi,North,Indian,Chinese,South,Indian,Fast,Food,South,Indian,Chettinad,Indian,Mughlai,Chinese,Fast,Food,,Beverages,Beverages,,Fast,Food,Biryani,Hyderabadi,Asian,Continental,North,Indian,Chinese,Mughlai,North,Indian,Chinese,Cafe,Italian,Bakery,Desserts,Indian,Chinese,Bakery,Pizzas,Fast,Food,Salads,Continental,Oriental,Beverages,Healthy,Food,Beverages,Juices,Continental,Healthy,Food,Thai,Juices,Mexican,Mediterranean,Lebanese,Greek,Bakery,Desserts,Gujarati,Snacks,Snacks,Desserts,North,Indian,Chinese,Biryani,Tandoor,North,Indian,Chinese,Continental,Chinese,Italian,Mexican,Tandoor,Chinese,Biryani,Indian,Biryani,Hyderabadi,Lucknowi,Kebabs,Desserts,Beverages,North,Indian,South,Indian,Chinese,Seafood,Biryani,Bengali,North,Indian,Bakery,Ice,Cream,Beverages,Chinese,South,Indian,,Chinese,Bengali,North,Indian,Chinese,Home,Food,Thalis,Beverages,Pizzas,Italian,Fast,Food,Beverages,Desserts,Continental,Italian,Oriental,Tandoor,Indian,Chinese,Tandoor,Mughlai,Biryani,Desserts,Chinese,North,Indian,Desserts,Andhra,Beverages,Seafood,Punjabi,Hyderabadi,American,Fast,Food,Hyderabadi,Mughlai,Biryani,Indian,Chinese,Indian,Chinese,Fast,Food,Pizzas,Desserts,Bakery,Chinese,Beverages,Snacks,Ice,Cream,Combo,Thalis,Chinese,Cafe,Chinese,Continental,North,Indian,Chinese,Indian,Chinese,Indian,Indian,Fast,Food,Chinese,Chinese,Asian,Fast,Food,Chinese,Oriental,Italian-American,Indian,Asian,Mughlai,Indian,Biryani,Mughlai,Kebabs,North,Indian,Bakery,Desserts,Italian,Pizzas,Pastas,Desserts,Beverages,Continental,North,Indian,Chinese,Street,Food,Arabian,American,North,Indian,Chinese,Mughlai,Tandoor,Seafood,Ice,Cream,Beverages,Fast,Food,North,Indian,Biryani,Chinese,Tandoor,Seafood,Snacks,Kebabs,Desserts,Ice,Cream,North,Indian,European,Continental,Fast,Food,Mangalorean,Biryani,Tandoor,Chinese,Indian,Chinese,Arabian,Chinese,South,Indian,North,Indian,Chinese,Pan-Asian,Combo,Indian,,Chinese,Fast,Food,Keto,Continental,Salads,Mexican,European,Italian,Mediterranean,Combo,Thai,Desserts,Indian,Biryani,Healthy,Food,Fast,Food,,Italian,,Beverages,Mexican,Indian,Biryani,Tandoor,Desserts,Beverages,Indian,Indian,Chinese,Continental,Asian,Home,Food,South,Indian,North,Indian,Thalis,Chinese,South,Indian,Fast,Food,Hyderabadi,Biryani,Mughlai,Kebabs,Desserts,South,Indian,Kerala,Chinese,,Thai,,Indonesian,,Combo,Desserts,Fast,Food,Beverages,Hyderabadi,South,Indian,Lebanese,Fast,Food,Tibetan,Pizzas,Pastas,Pizzas,Chinese,North,Indian,Biryani,Seafood,Chinese,Tandoor,Beverages,Biryani,Tandoor,Indian,Chinese,Tandoor,Tandoor,North,Indian,North,Indian,American,Fast,Food,Pan-Asian,Singaporean,Malaysian,Japanese,Asian,Chinese,Indonesian,Oriya,Seafood,Thai,American,Fast,Food,Beverages,Italian,Mexican,Beverages,Indian,Sweets,Snacks,Seafood,Biryani,Tandoor,North,Indian,Chinese,Kebabs,Mughlai,North,Indian,Mughlai,Seafood,Biryani,Desserts,Kebabs,Hyderabadi,North,Indian,Tandoor,Chinese,North,Indian,Chinese,Indian,Beverages,Snacks,Arabian,South,Indian,Hyderabadi,Chinese,North,Indian,Andhra,North,Indian,Arabian,Chinese,Beverages,Mughlai,,Biryani,,Indian,,Tandoor,,North,Indian,Desserts,Beverages,Ice,Cream,Bakery,Sweets,Juices,Fast,Food,North,Indian,Punjabi,Biryani,Maharashtrian,North,Indian,Mughlai,Hyderabadi,Indian,Desserts,Continental,European,Asian,American,Pastas,Fast,Food,Snacks,Desserts,Beverages,Asian,Italian,Tibetan,North,Indian,Indian,Punjabi,Chinese,Fast,Food,Lebanese,Desserts,,Continental,,Italian,Beverages,South,Indian,Chinese,North,Indian,Biryani,Mughlai,Healthy,Food,,Salads,,Continental,Indian,Chinese,Combo,Biryani,North,Indian,Indian,Sweets,Desserts,Snacks,Chaat,Indian,Chinese,Fast,Food,Snacks,Combo,Italian,Beverages,Continental,Desserts,Biryani,Tandoor,North,Indian,Chinese,Punjabi,Indian,Bengali,Fast,Food,Snacks,Home,Food,Pastas,Fast,Food,American,Continental,Desserts,Bakery,Chinese,Fast,Food,Beverages,Desserts,Beverages,Fast,Food,Chinese,Fast,Food,Indian,Punjabi,Indian,Chinese,Pan-Asian,Singaporean,Malaysian,Japanese,Asian,Thai,Chinese,Indonesian,Chinese,Thai,Seafood,Asian,North,Indian,American,,Fast,Food,North,Indian,Punjabi,Street,Food,South,Indian,Chinese,North,Indian,Italian,Thalis,Combo,South,Indian,Biryani,Chinese,Indian,Chinese,Mughlai,North,Indian,Desserts,Fast,Food,Coastal,Arabian,Tribal,Italian,Chinese,Burmese,Pan-Asian,Thai,Malaysian,Oriental,Italian-American,Pastas,Biryani,,Chinese,Chinese,North,Indian,Biryani,North,Indian,Chinese,Kebabs,Continental,Fast,Food,North,Indian,Continental,American,Desserts,Fast,Food,Italian,Beverages,Seafood,Biryani,Chinese,Indian,Chinese,South,Indian,American,Fast,Food,Kebabs,Mughlai,Biryani,Combo,Fast,Food,Italian,South,Indian,Chinese,Chinese,Biryani,Kebabs,Haleem,Fast,Food,North,Indian,Mughlai,Seafood,Biryani,Desserts,Kebabs,Indian,Mughlai,Fast,Food,Fast,Food,Continental,Beverages,Snacks,Desserts,Chinese,Bakery,Desserts,Fast,Food,Beverages,Beverages,Bakery,North,Indian,Mughlai,Seafood,Biryani,Desserts,Kebabs,Chinese,North,Indian,Indian,,Chinese,,Desserts,,Juices,Chinese,North,Indian,Biryani,Tibetan,Italian,Mughlai,Chinese,Kerala,Desserts,Fast,Food,American,Beverages,Combo,American,Biryani,Pastas,Combo,Continental,Tibetan,Fast,Food,Beverages,Salads,Japanese,Chinese,Thai,Malaysian,Indonesian,Burmese,Singaporean,Indian,Chinese,Tandoor,Arabian,Continental,American,Desserts,Fast,Food,Bakery,Persian,Arabian,Indian,Middle,Eastern,Biryani,Chinese,Biryani,Mughlai,North,Indian,Desserts,,Bakery,,Snacks,Italian,Continental,Salads,Fast,Food,Desserts,Continental,Beverages,American,Fast,Food,Fast,Food,Fast,Food,Ice,Cream,,Desserts,,Beverages,Biryani,Chettinad,Andhra,Beverages,Seafood,Juices,Beverages,Biryani,Tandoor,Chinese,North,Indian,Cafe,Desserts,Ice,Cream,Beverages,Biryani,Biryani,Mughlai,North,Indian,Indian,Chinese,Tandoor,Hyderabadi,Asian,,Fast,Food,,Chinese,,Combo,Fast,Food,Mangalorean,Chinese,North,Indian,Mughlai,Punjabi,Awadhi,South,Indian,South,Indian,Chinese,Bengali,North,Indian,Biryani,Tandoor,Punjabi,North,Indian,Thalis,Desserts,Beverages,Continental,American,Fast,Food,Italian,Mexican,Beverages,Biryani,Fast,Food,Indian,Chinese,Mughlai,Chinese,,Beverages,Chinese,,North,Indian,Indian,Chinese,Bakery,Fast,Food,Italian-American,Fast,Food,Continental,North,Indian,Chinese,Tandoor,Biryani,North,Indian,Chinese,Tandoor,Pizzas,Fast,Food,Street,Food,Indian,Mughlai,Indian,Chinese,Indian,Chinese,South,Indian,North,Indian,Seafood,Chinese,North,Indian,North,Indian,Chinese,North,Indian,Desserts,Fast,Food,Beverages,Seafood,Bengali,Healthy,Food,Salads,Desserts,Beverages,North,Indian,Continental,Indian,Indian,Beverages,Biryani,Fast,Food,Goan,,Seafood,Italian,,Continental,,Indian,,Mexican,North,Indian,Continental,American,Fast,Food,Chinese,Pizzas,Desserts,North,Indian,Chinese,Tandoor,Combo,Biryani,South,Indian,North,Indian,Chinese,North,Indian,Fast,Food,Fast,Food,Continental,Chinese,Special,Discount,from,(The,Scoop),Indian,Indian,North,Indian,Beverages,Ice,Cream,Fast,Food,Chinese,Fast,Food,Bakery,Desserts,Australian,Snacks,Cafe,Arabian,Snacks,Fast,Food,Chinese,Tibetan,Snacks,American,Fast,Food,Kerala,North,Indian,Italian,Chinese,Continental,North,Indian,South,Indian,Tandoor,Biryani,Pizzas,Italian,Continental,American,Chinese,Snacks,Desserts,Beverages,Indian,Biryani,North,Indian,Chinese,Tandoor,Asian,Chinese,Thai,Burmese,Italian,Fast,Food,Healthy,Food,Continental,Salads,American,Italian,Seafood,Indian,Snacks,Keto,Juices,Pizzas,Italian,Pastas,Desserts,Beverages,Continental,North,Indian,Pizzas,American,Mexican,Italian,Beverages,Continental,American,Italian,Mexican,Arabian,North,Indian,Mughlai,Bengali,North,Indian,Biryani,Mughlai,Indian,Desserts,Seafood,Snacks,Beverages,Tandoor,Kebabs,Afghani,Thalis,Combo,Barbecue,North,Indian,Middle,Eastern,Chinese,Mughlai,Chinese,Biryani,Fast,Food,Konkan,Seafood,American,Fast,Food,Beverages,Chinese,North,Indian,Continental,Indian,Bakery,Fast,Food,Chinese,Chinese,North,Indian,North,Indian,Mughlai,Seafood,Biryani,Desserts,Kebabs,North,Indian,Mughlai,Seafood,Biryani,Desserts,Kebabs,South,Indian,Juices,Beverages,Healthy,Food,Indian,Chinese,North,Indian,Biryani,Continental,Thai,Pizzas,Pastas,Fast,Food,North,Indian,Chinese,Gujarati,Healthy,Food,Salads,Continental,Juices,Seafood,Beverages,North,Indian,Chinese,North,Indian,Chinese,South,Indian,,North,Indian,,Mughlai,Chinese,North,Indian,North,Indian,South,Indian,Snacks,Fast,Food,Beverages,Biryani,,Indian,,Mughlai,Indian,Chinese,North,Indian,Chinese,Biryani,Chinese,North,Indian,Punjabi,Snacks,Fast,Food,Maharashtrian,Thalis,Indian,Beverages,Bakery,Desserts,Bakery,North,Indian,Continental,Burmese,Pizzas,North,Indian,Fast,Food,Chinese,Italian,Beverages,Italian,North,Indian,Chinese,Fast,Food,Beverages,Desserts,,Bakery,,Fast,Food,Chinese,,Continental,,Thai,Italian,Chinese,Chinese,Indian,Tandoor,Chinese,Indian,Lebanese,Arabian,Fast,Food,Indian,Chinese,Italian,Pizzas,Salads,Pastas,Desserts,Tandoor,Fast,Food,Beverages,North,Indian,,Chinese,,Italian,Continental,Italian,North,Indian,Chinese,North,Indian,,Chinese,,Indian,Indian,Asian,Italian,European,Chinese,Indian,Fast,Food,Fast,Food,Beverages,Snacks,Combo,Bakery,Bakery,Chinese,North,Indian,Beverages,Seafood,Snacks,Fast,Food,Beverages,Desserts,Chinese,Chinese,Asian,Thai,North,Indian,Home,Food,South,Indian,Continental,American,Biryani,Arabian,Indian,South,Indian,Fast,Food,Chinese,Fast,Food,Beverages,Snacks,Desserts,Chinese,Pizzas,Combo,North,Indian,Indian,Biryani,,Mughlai,Chinese,North,Indian,Biryani,Biryani,Mughlai,North,Indian,Awadhi,Kebabs,Lucknowi,Fast,Food,Beverages,Biryani,North,Indian,Beverages,Desserts,Biryani,Indian,Assamese,Biryani,North,Indian,Chinese,Indian,Snacks,Chinese,Desserts,Beverages,Pizzas,Pastas,Biryani,Biryani,Chinese,,North,Indian,Indian,Chinese,Fast,Food,Chinese,Mughlai,North,Indian,Continental,South,Indian,North,Indian,Chinese,Indian,Fast,Food,Chinese,Pizzas,Beverages,Chinese,Fast,Food,Biryani,Biryani,Mughlai,Chinese,North,Indian,Continental,Pan-Asian,Thai,Fast,Food,Biryani,Maharashtrian,North,Indian,North,Indian,Fast,Food,North,Indian,South,Indian,Indian,North,Indian,Chinese,North,Indian,Biryani,Kebabs,Tandoor,Combo,Mughlai,Afghani,Seafood,Seafood,,North,Indian,,Chinese,,Tandoor,,Thai,Desserts,Ice,Cream,Tibetan,Chinese,North,Indian,Fast,Food,Fast,Food,Lebanese,Middle,Eastern,Mediterranean,Arabian,Mughlai,North,Indian,Chinese,Pan-Asian,Asian,Burmese,Thai,North,Indian,South,Indian,Chinese,North,Indian,Combo,Chinese,Tandoor,North,Indian,Biryani,Mughlai,Indian,Bakery,Desserts,Snacks,Ice,Cream,Beverages,Biryani,Indian,Fast,Food,Chinese,South,Indian,Italian,Mexican,Continental,Arabian,Chinese,Biryani,North,Indian,Street,Food,Fast,Food,Healthy,Food,Juices,Beverages,Desserts,North,Indian,Chinese,Cafe,Biryani,Fast,Food,Sweets,,Desserts,Desserts,Ice,Cream,Beverages,Biryani,Chinese,Hyderabadi,Andhra,Fast,Food,Fast,Food,Beverages,,Ice,Cream,Beverages,Fast,Food,North,Indian,Indian,Continental,Italian,Fast,Food,Indian,North,Indian,Chinese,Biryani,Continental,Punjabi,Italian,Fast,Food,European,Mexican,Thai,Thalis,Indian,North,Indian,Biryani,Chinese,Combo,Thalis,Snacks,Desserts,Mughlai,North,Indian,Indian,Chinese,Tandoor,Hyderabadi,North,Indian,,Chinese,,Mughlai,,Fast,Food,,Desserts,,Juices,North,Indian,Biryani,Mughlai,Fast,Food,Italian,Beverages,Desserts,Continental,Pastas,Mughlai,Pizzas,Italian,Arabian,North,Indian,,Chinese,North,Indian,Mughlai,North,Indian,Punjabi,Barbecue,Combo,North,Indian,Indian,Punjabi,Tandoor,Chinese,Biryani,Kerala,Snacks,Beverages,Indian,North,Indian,Chinese,Biryani,Indian,Chinese,Desserts,Beverages,Continental,Italian,Combo,Desserts,Snacks,Chinese,North,Indian,Biryani,Thai,South,Indian,Chinese,Fast,Food,Indian,Chinese,Pizzas,North,Indian,Biryani,Kebabs,Biryani,Chinese,North,Indian,Kebabs,Biryani,Snacks,Combo,Punjabi,Desserts,Tandoor,Indian,Chinese,Indian,Thalis,North,Indian,Pan-Asian,Oriental,Kebabs,Tandoor,Fast,Food,Desserts,Asian,Combo,Grill,Hyderabadi,Lucknowi,Mughlai,Bowl,Company,,Keventers,&,more,South,Indian,Arabian,North,Indian,Grill,Biryani,Snacks,Desserts,Bakery,Juices,Grill,Arabian,Italian,Beverages,Ice,Cream,Pizzas,Snacks,Desserts,Pastas,Greek,Salads,Continental,Beverages,Biryani,,Indian,,Hyderabadi,,Fast,Food,,Haleem,American,Italian,Continental,Indian,North,Indian,,Mughlai,,Biryani,,Beverages,,Afghani,,Desserts,North,Indian,Chinese,Biryani,Kebabs,Mughlai,Asian,Oriental,Continental,Healthy,Food,Snacks,North,Indian,South,Indian,Indian,Fast,Food,Biryani,Chinese,Italian,Beverages,Asian,South,Indian,North,Indian,Chinese,Fast,Food,Fast,Food,Beverages,Kerala,Chettinad,Andhra,Continental,Chinese,Italian,American,Kerala,Chinese,Biryani,Seafood,South,Indian,Biryani,North,Indian,Chinese,Bengali,Snacks,Beverages,Combo,Thalis,Ice,Cream,Desserts,Beverages,Tibetan,Lebanese,Fast,Food,Tandoor,South,Indian,Indian,Biryani,Lebanese,Fast,Food,South,Indian,Chinese,Maharashtrian,Indian,Indian,Tandoor,,indian,North,Indian,,Seafood,Mughlai,Indian,Chinese,Indian,South,Indian,Fast,Food,Biryani,Chinese,Grill,Arabian,Biryani,Barbecue,Snacks,Beverages,Lebanese,Fast,Food,North,Indian,South,Indian,Indian,Fast,Food,Street,Food,Kebabs,Mughlai,Fast,Food,Snacks,North,Indian,Chinese,Biryani,Bengali,North,Indian,Italian,Beverages,Juices,Ice,Cream,Pizzas,Desserts,Pastas,Cafe,Arabian,Biryani,Indian,Thai,Chinese,Fast,Food,American,Indian,Snacks,Desserts,Beverages,South,Indian,North,Indian,Fast,Food,Desserts,Indian,Chinese,Biryani,Tandoor,North,Indian,Kebabs,Middle,Eastern,Bakery,,Pizzas,,Haleem,Ice,Cream,Chinese,Fast,Food,Italian,North,Indian,Mughlai,Italian,American,Beverages,Lebanese,Arabian,Biryani,North,Indian,Chinese,Fast,Food,Haleem,Desserts,Ice,Cream,Snacks,Pizzas,Pastas,North,Indian,,Chinese,,Biryani,,Desserts,Mughlai,Desserts,North,Indian,Indian,Beverages,Juices,Ice,Cream,Pizzas,Desserts,South,Indian,Pizzas,Italian,European,Salads,Chinese,North,Indian,Biryani,Mughlai,Combo,North,Indian,Mughlai,Chinese,Healthy,Food,Fast,Food,Fast,Food,Italian,Continental,Pastas,Fast,Food,,Beverages,Indian,North,Indian,Beverages,Ice,Cream,Italian,Beverages,Juices,Pizzas,Chinese,Chinese,Arabian,Chinese,Pizzas,Beverages,Italian,Continental,Biryani,Desserts,Combo,North,Indian,Juices,North,Indian,Chinese,Biryani,Chinese,Tandoor,Mughlai,North,Indian,South,Indian,,Chinese,,Fast,Food,,Continental,,North,Indian,,Biryani,,Mughlai,,Snacks,Chinese,Snacks,Fast,Food,Bakery,,Desserts,North,Indian,South,Indian,Indian,Grill,Arabian,Kebabs,Tandoor,Chinese,Snacks,Seafood,Indian,Chinese,Tandoor,South,Indian,Mughlai,Indian,North,Indian,South,Indian,Chinese,North,Indian,Indian,Grill,Street,Food,Kebabs,Tandoor,Chaat,Biryani,Indian,Biryani,Chinese,Mexican,Chinese,North,Indian,Indian,Biryani,Chinese,Indian,Italian,Chinese,Chinese,Pizzas,Beverages,Indian,North,Indian,Snacks,Desserts,Fast,Food,Chinese,Thalis,North,Indian,South,Indian,Beverages,Pizzas,Pastas,Chinese,Italian,American,Fast,Food,Indian,Desserts,Beverages,North,Indian,Chinese,Seafood,Fast,Food,North,Indian,Chinese,Mughlai,North,Indian,Biryani,Chinese,Beverages,Snacks,Combo,Chinese,Continental,Italian,Pastas,Fast,Food,Continental,Healthy,Food,Beverages,Ice,Cream,Chinese,Bengali,Continental,North,Indian,Chinese,North,Indian,Chinese,Combo,,Snacks,,Beverages,,Desserts,,Indian,Fast,Food,Biryani,North,Indian,Chinese,North,Indian,Bakery,Chinese,North,Indian,Chinese,Indian,Mughlai,Seafood,Healthy,Food,North,Indian,Chinese,Bengali,Chinese,Mughlai,Snacks,North,Indian,Fast,Food,American,Beverages,Desserts,North,Indian,Chinese,North,Indian,Chinese,Biryani,Fast,Food,Pizzas,Continental,Beverages,Desserts,Mughlai,Chinese,Punjabi,North,Indian,Desserts,Thalis,Combo,Fast,Food,Fast,Food,Pizzas,Beverages,Desserts,Ice,Cream,Italian,Pastas,Biryani,South,Indian,Indian,Biryani,North,Indian,North,Indian,Snacks,Beverages,Juices,Pizzas,American,Biryani,Chinese,Snacks,Desserts,Beverages,North,Indian,Fast,Food,Bakery,Desserts,Fast,Food,Chinese,Snacks,North,Indian,Punjabi,Biryani,Combo,Chinese,Beverages,Desserts,Jain,Indian,Hyderabadi,Mughlai,Fast,Food,North,Indian,,Punjabi,,Street,Food,,Mughlai,,Biryani,,Tandoor,,Arabian,North,Indian,,Punjabi,,Street,Food,,Mughlai,,Biryani,,Tandoor,,Arabian,North,Indian,Beverages,North,Indian,Punjabi,Biryani,Combo,Chinese,Beverages,Desserts,Jain,Indian,Hyderabadi,Mughlai,North,Indian,Punjabi,Biryani,Combo,Chinese,Beverages,Desserts,Jain,Indian,Hyderabadi,Mughlai,Biryani,Mughlai,North,Indian,Chinese,Beverages,Thalis,Indian,North,Indian,Punjabi,Biryani,Combo,Chinese,Beverages,Desserts,Jain,Indian,Hyderabadi,Mughlai,North,Indian,Chinese,Punjabi,Chinese,South,Indian,Combo,Hyderabadi,Indian,Tandoor,Indian,South,Indian,Chinese,Continental,Desserts,Biryani,Indian,Chinese,Bowl,Company,,Keventers,&,more,North,Indian,North,Indian,Biryani,Desserts,Seafood,North,Indian,Chinese,Turkish,Arabian,North,Indian,Chinese,Mughlai,North,Indian,Beverages,Snacks,Chinese,Arabian,Tandoor,South,Indian,Fast,Food,North,Indian,,Biryani,Burmese,North,Indian,Snacks,Maharashtrian,North,Indian,Chinese,Fast,Food,Chinese,American,Beverages,Mughlai,Fast,Food,Mughlai,South,Indian,Cafe,Asian,North,Indian,,Fast,Food,,Chinese,,Tandoor,Indian,Chinese,North,Indian,Chinese,Maharashtrian,Seafood,North,Indian,Fast,Food,Punjabi,Fast,Food,Barbecue,Indian,Bengali,Chinese,Combo,Oriental,Continental,Pizzas,Snacks,Beverages,North,Indian,Healthy,Food,Bakery,Biryani,Italian,Continental,Beverages,Fast,Food,Combo,Asian,Sweets,North,Indian,Bakery,Sweets,Snacks,Bakery,Indian,Chinese,American,Fast,Food,Snacks,Fast,Food,Biryani,American,Lebanese,Beverages,Chinese,Chinese,North,Indian,Biryani,Salads,Fast,Food,Fast,Food,Pizzas,Biryani,Biryani,Indian,Chinese,Tandoor,Tandoor,Kebabs,Combo,Mughlai,North,Indian,Thalis,North,Indian,Biryani,Fast,Food,Pizzas,Italian,Chinese,Seafood,Snacks,Beverages,Chinese,Fast,Food,Fast,Food,Biryani,Biryani,Indian,Mughlai,Chinese,Indian,Chinese,South,Indian,Fast,Food,Chinese,North,Indian,Chinese,North,Indian,Fast,Food,Sweets,Kebabs,Combo,Biryani,Mughlai,North,Indian,Chinese,Chinese,Chinese,Indian,Desserts,Fast,Food,Chinese,Beverages,Combo,Street,Food,Pan-Asian,Tibetan,North,Indian,Biryani,Punjabi,Chinese,Continental,Italian,Seafood,South,Indian,Fast,Food,Biryani,Chinese,North,Indian,South,Indian,Snacks,American,Indian,Chinese,Indian,Biryani,Snacks,Fast,Food,Indian,American,Beverages,Desserts,Mughlai,North,Indian,Biryani,Tibetan,Chinese,Continental,Indian,Mughlai,Ice,Cream,Fast,Food,Biryani,Chinese,Combo,Snacks,Indian,Chinese,Biryani,Andhra,North,Indian,Andhra,Biryani,Chettinad,South,Indian,Desserts,Beverages,Fast,Food,Indian,Fast,Food,South,Indian,Ice,Cream,Chinese,North,Indian,Desserts,Sweets,Paan,Desserts,Tandoor,North,Indian,Chinese,Snacks,Beverages,Desserts,Biryani,South,Indian,Desserts,Beverages,North,Indian,Fast,Food,Bakery,Tibetan,Fast,Food,Chinese,Asian,Snacks,Continental,Desserts,Beverages,American,Fast,Food,Snacks,Biryani,Indian,Tandoor,Chinese,Indian,Indian,Arabian,Chinese,Continental,Italian,North,Indian,Italian-American,Continental,Juices,Beverages,South,Indian,Punjabi,Desserts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ages,Home,Food,Indian,North,Indian,Lebanese,Fast,Food,Continental,North,Indian,Pan-Asian,Desserts,American,Asian,Beverages,Biryani,Chinese,Combo,European,Grill,Hyderabadi,Indian,Italian,Kebabs,Lucknowi,Mediterranean,Mexican,Mughlai,Oriental,Pastas,Punjab,Home,Food,North,Indian,South,Indian,Beverages,Chettinad,Combo,Desserts,Hyderabadi,Indian,Lucknowi,Maharashtrian,Mangalorean,Punjabi,Rajasthani,Snacks,Sweets,Thalis,Snacks,Fast,Food,American,Home,Food,Indian,Healthy,Food,North,Indian,Snacks,Maharashtrian,Sweets,South,Indian,Combo,Desserts,Beverages,Kebabs,Home,Food,Indian,Healthy,Food,North,Indian,Snacks,Maharashtrian,Sweets,South,Indian,Combo,Desserts,Beverages,Kebabs,Continental,Indian,Chinese,North,Indian,Indian,Continental,Biryani,Beverages,Combo,Chinese,Indian,Italian,Mexican,Andhra,South,Indian,Biryani,Kerala,Seafood,Biryani,Kebabs,Mughlai,Bakery,Bakery,Asian,Chinese,American,Continental,,Indian,,Chinese,,Snacks,,Beverages,Chinese,,Asian,,Oriental,,Tibetan,,Desserts,Mangalorean,,North,Indian,,South,Indian,,Malwani,Seafood,Malwani,North,Indian,South,Indian,Mangalorean,Seafood,Malwani,Biryani,Bengali,Bengali,Biryani,Indian,Asian,Italian,Bakery,Chinese,Chinese,,North,Indian,Kerala,American,Continental,Beverages,Desserts,Fast,Food,Chinese,Indian,Chinese,Fast,Food,Indian,Healthy,Food,European,Salads,Italian,Desserts,Beverages,Chinese,,Tandoor,,Biryani,Fast,Food,North,Indian,Indian,North,Indian,Fast,Food,,Snacks,,North,Indian,,Mexican,,Beverages,Mughlai,North,Indian,Chinese,Biryani,Punjabi,North,Indian,Home,Food,Combo,Desserts,Indian,Punjabi,Chinese,Indian,Chinese,,Indian,Chinese,Indian,Indian,Kebabs,Biryani,North,Indian,Chinese,Biryani,North,Indian,Fast,Food,Juices,Beverages,Asian,Japanese,Chinese,Fast,Food,North,Indian,Seafood,Ice,Cream,Desserts,Biryani,Snacks,Pizzas,Fast,Food,Desserts,Indian,Ice,Cream,Fast,Food,North,Indian,Snacks,Ice,Cream,Chinese,Kebabs,Tibetan,Lebanese,Beverages,Bakery,Chaat,Desserts,Fast,Food,Home,Food,Maharashtrian,Snacks,Street,Food,Sweets,Indian,Combo,Parsi,Fast,Food,Italian,Arabian,Juices,Indian,Chinese,North,Indian,Tandoor,,indian,Chinese,Konkan,North,Indian,Seafood,Snacks,,South,Indian,Bakery,Chinese,Fast,Food,Desserts,Italian,North,Indian,Salads,Fast,Food,Snacks,Street,Food,Biryani,Fast,Food,Bengali,Chinese,Indian,Japanese,Chinese,Indian,North,Indian,Punjabi,Tandoor,Beverages,Ice,Cream,Desserts,Bakery,Desserts,Ice,Cream,American,British,Combo,Snacks,Bakery,Desserts,Ice,Cream,American,Fast,Food,Beverages,Healthy,Food,Chinese,Indian,North,Indian,Healthy,Food,Continental,Keto,Indian,Salads,Snacks,Fast,Food,American,Chinese,Haleem,Arabian,Biryani,Tandoor,Chinese,Indian,Desserts,Kebabs,Mughlai,North,Indian,Tandoor,Biryani,Punjabi,Kebabs,Beverages,South,Indian,Desserts,Mughlai,North,Indian,Beverages,Fast,Food,Chinese,Fast,Food,Pizzas,Biryani,South,Indian,Chinese,Continental,South,Indian,Italian,North,Indian,Maharashtrian,Cafe,Snacks,American,,Pastas,,Snacks,,Desserts,,Beverages,,North,Indian,,Asian,Fast,Food,Fast,Food,Italian,Indian,North,Indian,Chinese,Combo,Snacks,Sweets,Beverages,South,Indian,Continental,Healthy,Food,Chinese,North,Indian,Biryani,Biryani,North,Indian,Chinese,Indian,North,Indian,Punjabi,Thalis,Biryani,Combo,Desserts,Maharashtrian,North,Indian,Chinese,Tandoor,Chinese,Bakery,Fast,Food,North,Indian,Asian,North,Indian,Continental,Healthy,Food,Punjabi,Home,Food,Oriental,Desserts,Beverages,Pan-Asian,Bengali,Mangalorean,Kashmiri,Lucknowi,Chinese,Sweets,Kebabs,Combo,Rajasthani,Awadhi,Asian,North,Indian,Continental,Healthy,Food,Punjabi,Home,Food,Oriental,Desserts,Beverages,Pan-Asian,Bengali,Mangalorean,Kashmiri,Lucknowi,Chinese,Sweets,Kebabs,Combo,Rajasthani,Awadhi,Indian,North,Indian,Sindhi,North,Indian,Snacks,Beverages,Biryani,Fast,Food,Healthy,Food,Street,Food,Home,Food,Juices,Snacks,Chinese,Continental,North,Indian,South,Indian,American,Beverages,British,Cafe,Combo,European,Desserts,Desserts,Bakery,Indian,Continental,Italian,Continental,American,Fast,Food,Beverages,Chinese,Italian,Mexican,Continental,Fast,Food,Pizzas,Juices,Beverages,Ice,Cream,Biryani,Indian,Beverages,Desserts,Chinese,Asian,Thai,American,Cafe,Italian,Mexican,Fast,Food,Chinese,Mughlai,North,Indian,Continental,Home,Food,Chettinad,South,Indian,Healthy,Food,Salads,French,Beverages,Combo,Continental,Fast,Food,Mexican,,Beverages,Healthy,Food,Keto,North,Indian,Continental,Continental,Pastas,Pizzas,Snacks,Beverages,Healthy,Food,,Keto,,North,Indian,,Continental,Fast,Food,Street,Food,North,Indian,Combo,Snacks,Beverages,Desserts,Indian,Biryani,Mughlai,Lucknowi,Hyderabadi,Kebabs,North,Indian,Persian,Desserts,Pizzas,Italian,Mexican,Pastas,Ice,Cream,Bakery,Desserts,Beverages,North,Indian,Punjabi,Biryani,Combo,Chinese,Beverages,Desserts,Jain,Indian,Hyderabadi,Mughlai,Biryani,Hyderabadi,Lucknowi,North,Indian,Mughlai,Combo,Desserts,Chinese,North,Indian,Chinese,North,Indian,Fast,Food,Tandoor,Biryani,South,Indian,Hyderabadi,Andhra,Biryani,Desserts,Snacks,Pizzas,Mughlai,Chinese,Tibetan,Fast,Food,Snacks,Beverages,Bakery,Desserts,Beverages,Biryani,Desserts,Bakery,Chinese,Biryani,North,Indian,South,Indian,Chinese,American,Snacks,Fast,Food,Ice,Cream,Desserts,American,Fast,Food,Healthy,Food,Indian,Mexican,Bakery,,Combo,,Beverages,,Maharashtrian,,Snacks,,Street,Food,,South,Indian,,Punjabi,,Fast,Food,Tibetan,Fast,Food,Chinese,Asian,Snacks,Continental,Desserts,Beverages,North,Indian,,Desserts,Bakery,,Desserts,Chinese,Indian,Punjabi,North,Indian,Thalis,Kebabs,Tandoor,Bakery,Desserts,Desserts,Bakery,Thai,Bakery,Bakery,,Fast,Food,,Snacks,,Beverages,South,Indian,Telangana,Home,Food,Biryani,Chinese,North,Indian,Mughlai,Fast,Food,Beverages,Chinese,Indian,Home,Food,North,Indian,Chinese,Indian,Malwani,Biryani,Mughlai,Lucknowi,Hyderabadi,Kebabs,North,Indian,Persian,Desserts,Pizzas,Chinese,Asian,Thai,Beverages,Desserts,Desserts,Fast,Food,Tandoor,Indian,Bakery,Indian,Asian,Continental,Indian,Biryani,Hyderabadi,Indian,Kebabs,North,Indian,South,Indian,Andhra,Afghani,Combo,Desserts,Beverages,Punjabi,Kerala,Sweets,Arabian,Lucknowi,Parsi,Tandoor,Asian,,North,Indian,,Continental,,Healthy,Food,,Punjabi,,Home,Food,,Oriental,,Desserts,,Beverages,,Pan-Asian,,Bengali,,Mangalorean,,Kashmiri,,Lucknowi,,Chinese,,Sweets,,Kebabs,,Combo,,Rajasthani,,Awadhi,Healthy,Food,Cafe,Desserts,European,Bakery,Italian,Pizzas,Continental,Desserts,Healthy,Food,Continental,Desserts,Italian,Healthy,Food,Continental,Desserts,Italian,Healthy,Food,Pizzas,Beverages,Continental,Indian,Thalis,Oriental,Bengali,Snacks,North,Indian,American,Bakery,Italian,North,Indian,Chinese,Fast,Food,American,Beverages,Desserts,Combo,Snacks,Beverages,Desserts,Biryani,Mughlai,Lucknowi,Hyderabadi,Kebabs,North,Indian,Persian,Desserts,Pizzas,Italian,Mexican,Pastas,Ice,Cream,Bakery,Desserts,Beverages,North,Indian,,Punjabi,,Biryani,,Combo,,Chinese,,Beverages,,Desserts,,Jain,,Indian,,Hyderabadi,,Mughlai,Biryani,North,Indian,Chinese,North,Indian,Punjabi,Combo,Biryani,Healthy,Food,Jain,Thalis,Indian,Mughlai,Desserts,Continental,Juices,Beverages,Chinese,Indian,American,,European,,Continental,Mughlai,North,Indian,Chinese,Bakery,South,Indian,Kebabs,Biryani,Barbecue,Indian,North,Indian,Indian,Combo,Desserts,Beverages,Home,Food,Healthy,Food,Thalis,Maharashtrian,Chinese,,Fast,Food,Indian,Indian,Biryani,Mughlai,Indian,Indian,American,Continental,Fast,Food,Combo,Biryani,North,Indian,Chinese,South,Indian,Continental,Chinese,Bakery,Desserts,Sweets,Beverages,Bakery,Indian,North,Indian,Indian,Indian,Beverages,Fast,Food,Juices,Chinese,Combo,Chinese,,Thai,,Asian,,Oriental,American,Fast,Food,Mughlai,Biryani,Indian,Chinese,Tandoor,Beverages,Desserts,Pastas,Pizzas,Continental,American,Snacks,Chinese,Pan-Asian,Indian,Thai,North,Indian,Punjabi,Desserts,Desserts,Bakery,Sweets,Desserts,Bakery,Sweets,Chinese,,North,Indian,,Biryani,,Desserts,Biryani,Mughlai,Biryani,Mughlai,Chinese,Indian,Maharashtrian,Punjabi,Mexican,Healthy,Food,North,Indian,Combo,Indian,North,Indian,Indian,Chinese,Lebanese,Continental,Pizzas,Snacks,Chinese,,Continental,Indian,Healthy,Food,Indian,Keto,Desserts,Arabian,North,Indian,Chinese,Italian,Biryani,Healthy,Food,Kebabs,Beverages,Desserts,Awadhi,Biryani,Kebabs,Chinese,Tibetan,Nepalese,Tandoor,Pizzas,Snacks,Beverages,Ice,Cream,Snacks,Beverages,Pizzas,Pastas,Italian,North,Indian,Chinese,Afghani,Biryani,Fast,Food,Biryani,North,Indian,Chinese,Indian,Thalis,Salads,Healthy,Food,Snacks,Ice,Cream,Desserts,Indian,Fast,Food,Mexican,Arabian,Tandoor,North,Indian,Chinese,Desserts,American,Fast,Food,Biryani,Tandoor,North,Indian,Chinese,Kebabs,Mughlai,Continental,Italian,North,Indian,Indian,Kerala,South,Indian,Chinese,Pan-Asian,Nepalese,Fast,Food,Combo,Tibetan,North,Indian,Punjabi,Chinese,Biryani,Seafood,Combo,Desserts,Beverages,Healthy,Food,Bengali,Chinese,Continental,Chinese,Indian,Continental,Indian,Chinese,Asian,Combo,Tibetan,Indian,South,Indian,Indian,Mughlai,Chinese,Fast,Food,Bengali,Mughlai,Chinese,Asian,Biryani,Kebabs,Desserts,Ice,Cream,Mexican,Salads,Chaat,Chinese,Desserts,Fast,Food,Ice,Cream,Italian,Snacks,Indian,Indian,American,Continental,Fast,Food,Combo,Indian,Beverages,,Snacks,Chinese,,Indian,American,Fast,Food,Snacks,Chinese,Asian,Pan-Asian,Snacks,Continental,American,Italian,Pizzas,Salads,Indian,Lebanese,Arabian,Beverages,Indian,American,Pizzas,Fast,Food,Juices,Salads,Pastas,Snacks,Beverages,Street,Food,Beverages,Chinese,Desserts,Indian,Indian,Biryani,North,Indian,Beverages,Desserts,Chinese,Combo,Tibetan,Healthy,Food,Pan-Asian,Indian,Chinese,Snacks,Asian,Fast,Food,Chinese,Indian,Mughlai,Desserts,Ice,Cream,Indian,Indian,Biryani,Chinese,Indian,Mughlai,Chinese,Continental,Indian,Seafood,North,Indian,Indian,Combo,Desserts,Beverages,Home,Food,Healthy,Food,Thalis,Maharashtrian,Bakery,South,Indian,Chinese,Bakery,,Desserts,American,Beverages,Desserts,Snacks,Chinese,Asian,Chinese,Continental,,Bakery,,Pan-Asian,Fast,Food,,Snacks,,Beverages,North,Indian,French,American,Italian,Desserts,Biryani,,Kebabs,Desserts,Juices,Maharashtrian,Maharashtrian,Mughlai,North,Indian,Indian,Biryani,Asian,Chinese,Sushi,Thai,Japanese,Chinese,Asian,Indian,Biryani,Chettinad,Chinese,South,Indian,Tibetan,Chinese,Beverages,Desserts,Chinese,Asian,Thai,Seafood,Singaporean,Indian,Indian,North,Indian,Biryani,Hyderabadi,Indian,Kebabs,North,Indian,South,Indian,Andhra,Afghani,Combo,Desserts,Beverages,Punjabi,Kerala,Sweets,Arabian,Lucknowi,Parsi,Tandoor,Maharashtrian,Mughlai,Cafe,Bakery,Chinese,North,Indian,Indian,Indian,British,Italian,French,Bengali,Thalis,Combo,Snacks,Chinese,Indian,North,Indian,Biryani,Kebabs,Snacks,Indian,Desserts,Indian,American,Fast,Food,Beverages,Fast,Food,Tibetan,Chinese,Bakery,Desserts,Beverages,Indian,Indian,Biryani,Beverages,Desserts,Italian,Snacks,Indian,Chinese,Fast,Food,Pan-Asian,Chinese,Seafood,Thai,Asian,Desserts,North,Indian,Punjabi,Tandoor,Mughlai,Indian,Lucknowi,Combo,Bakery,,Desserts,,Australian,,Snacks,Desserts,Healthy,Food,,Continental,,Keto,,Indian,,Salads,Indian,North,Indian,Punjabi,Gujarati,Thalis,Combo,Fast,Food,Continental,Beverages,Snacks,Healthy,Food,Combo,Beverages,Ice,Cream,Fast,Food,Chettinad,Thalis,Biryani,Chinese,Tandoor,South,Indian,North,Indian,Naga,Chinese,Indian,Chinese,Biryani,Snacks,Thalis,Combo,Pizzas,Juices,North,Indian,Fast,Food,Indian,North,Indian,Biryani,Chinese,Desserts,North,Indian,Tandoor,Pizzas,Chinese,,Asian,,Thai,Chinese,Indian,Chinese,Kebabs,Chinese,Indian,South,Indian,Indian,Healthy,Food,Juices,Beverages,Seafood,Biryani,Lebanese,Pizzas,Pastas,Snacks,Salads,North,Indian,American,Chinese,Thai,Seafood,Asian,Combo,Malaysian,Chinese,Thai,Seafood,Asian,Combo,Healthy,Food,Beverages,Chinese,Thai,Seafood,Asian,Combo,Healthy,Food,Beverages,Chinese,Chinese,Pan-Asian,Desserts,Beverages,American,Continental,Italian,Snacks,Pastas,Combo,Biryani,Mughlai,Kebabs,North,Indian,Hyderabadi,Lucknowi,Andhra,South,Indian,Bengali,North,Indian,Punjabi,Home,Food,Indian,Snacks,Combo,Desserts,Beverages,South,Indian,Continental,Chettinad,Healthy,Food,Chinese,Sweets,North,Indian,Punjabi,Home,Food,Indian,Snacks,Combo,Desserts,Beverages,South,Indian,Continental,Chettinad,Healthy,Food,Chinese,Sweets,North,Indian,Punjabi,Home,Food,Indian,Snacks,Combo,Desserts,Beverages,South,Indian,Continental,Chettinad,Healthy,Food,Chinese,Sweets,Beverages,,Chaat,,Desserts,,Fast,Food,,Juices,Indian,Bakery,Bengali,Bangladeshi,Combo,Thalis,Indian,Italian,Chinese,Tibetan,Bakery,,Continental,,Salads,,Pastas,,European,,Desserts,Beverages,,Fast,Food,,North,Indian,,South,Indian,Biryani,Fast,Food,Indian,Tandoor,North,Indian,,Sweets,Chinese,Indian,Indian,Indian,Desserts,Sweets,Asian,Continental,Fast,Food,Snacks,Combo,Desserts,Chinese,Indian,North,Indian,South,Indian,North,Indian,Snacks,Combo,Beverages,Healthy,Food,Desserts,Ice,Cream,Indian,Chinese,Asian,Healthy,Food,Arabian,Continental,Salads,Chinese,Combo,Bakery,,Desserts,,Fast,Food,,Snacks,Biryani,Chinese,Indian,Indian,Fast,Food,Beverages,Bengali,Biryani,Indian,North,Indian,Snacks,Street,Food,Chinese,Gujarati,Indian,Desserts,Beverages,Ice,Cream,Juices,Indian,Desserts,Spanish,Bengali,,Fast,Food,Pizzas,American,Fast,Food,Desserts,Beverages,Indian,Snacks,Fast,Food,Indian,North,Indian,Chinese,Continental,Pizzas,Salads,Chinese,Asian,Indian,Fast,Food,North,Indian,Pan-Asian,,Chinese,,Asian,,Thai,,Malaysian,,Tibetan,Indian,Indian,North,Indian,Biryani,Arabian,Chinese,Snacks,Beverages,Desserts,Beverages,Indian,Indian,Pizzas,Chinese,Snacks,North,Indian,Chinese,Pizzas,Continental,Pastas,Fast,Food,Beverages,North,Indian,Indian,,Tandoor,,Chinese,,Mughlai,North,Indian,,Punjabi,,Street,Food,,Mughlai,,Biryani,,Tandoor,,Arabian,Biryani,Tandoor,North,Indian,Chinese,Kebabs,Mughlai,Fast,Food,North,Indian,Continental,American,,Beverages,,Fast,Food,Biryani,Mughlai,North,Indian,Punjabi,Biryani,Mughlai,Desserts,Indian,Indian,Bengali,Indian,Desserts,Healthy,Food,Beverages,Fast,Food,Combo,Snacks,Thalis,Pastas,North,Indian,Punjabi,Chinese,Continental,Mangalorean,North,Indian,Home,Food,Bengali,Indian,Thalis,Snacks,Mughlai,Biryani,Tandoor,Chinese,Indian,Biryani,Mughlai,,Seafood,,Beverages,South,Indian,Biryani,Fast,Food,Indian,,Chinese,,Snacks,Tibetan,Chinese,Asian,Snacks,Continental,Desserts,Beverages,Continental,,Healthy,Food,,Indian,Biryani,Kebabs,Indian,Chinese,Mughlai,Fast,Food,Ice,Cream,Desserts,Beverages,Snacks,Biryani,Bakery,Continental,Healthy,Food,Beverages,Chinese,Pizzas,Snacks,Tandoor,Chinese,Continental,American,Continental,Indian,Beverages,Desserts,Indian,Oriental,Continental,North,Indian,Snacks,Chinese,Fast,Food,Continental,Asian,Italian,Indian,South,Indian,Chettinad,Chinese,Biryani,Combo,Home,Food,Chinese,Beverages,Chinese,North,Indian,Snacks,Chaat,Sweets,Fast,Food,Biryani,Indian,North,Indian,Fast,Food,Continental,Desserts,Bakery,Beverages,Snacks,Pastas,Snacks,Fast,Food,Bakery,Desserts,Arabian,Mughlai,Indian,Cafe,South,Indian,Desserts,Indian,Bakery,Desserts,Bengali,Fast,Food,Snacks,Sweets,Pizzas,Fast,Food,Snacks,Italian,Indian,North,Indian,South,Indian,North,Indian,Chinese,Continental,Chinese,American,Continental,Italian,Asian,Indian,North,Indian,Chinese,Biryani,Lucknowi,Pan-Asian,European,Mughlai,Bakery,Awadhi,Japanese,Sweets,Sushi,Fast,Food,American,Attractive,Combos,Available,Beverages,Combo,Desserts,Snacks,Indian,Bengali,Thalis,North,Indian,Indian,Tandoor,Mughlai,Lucknowi,Combo,North,Indian,Desserts,Snacks,Indian,Indian,Chinese,Indian,Italian,Chinese,Indian,Juices,Beverages,Desserts,Ice,Cream,Biryani,North,Indian,Punjabi,Oriental,Sweets,Desserts,Thai,Chinese,Mughlai,Asian,Chinese,Oriental,Snacks,Fast,Food,Asian,Chinese,Oriental,Indian,Fast,Food,Asian,,European,,Italian,Bakery,Fast,Food,North,Indian,Chinese,Tandoor,Indian,Continental,Indian,Continental,Asian,Chinese,Combo,Barbecue,North,Indian,Fast,Food,Biryani,Kebabs,Combo,Beverages,Desserts,Thalis,Combo,North,Indian,Ice,Cream,Fast,Food,Juices,Ice,Cream,Home,Food,North,Indian,Healthy,Food,Thalis,Desserts,Indian,Punjabi,Desserts,Beverages,Tandoor,Indian,American,Continental,French,Beverages,Biryani,Combo,Pizzas,Home,Food,Indian,Continental,Chinese,Asian,Indian,Thalis,Chinese,Bakery,Desserts,Biryani,Coastal,Mangalorean,Seafood,Chinese,South,Indian,Indian,Chinese,Continental,Indian,Continental,Indian,Continental,North,Indian,Biryani,Desserts,North,Indian,Indian,Fast,Food,South,Indian,Bengali,Kerala,Beverages,Fast,Food,Chinese,Desserts,Combo,Bengali,Thalis,Indian,North,Indian,,Beverages,,Fast,Food,,Snacks,,Indian,Desserts,Home,Food,,North,Indian,,Healthy,Food,,Thalis,,Desserts,,Indian,,Punjabi,Indian,Continental,Oriental,Asian,Chinese,Indian,Bakery,Desserts,Bengali,Chinese,Chinese,Chinese,Continental,Pizzas,North,Indian,Chinese,Asian,South,Indian,Snacks,,Indian,,Chinese,Fast,Food,Combo,North,Indian,Chinese,Biryani,Indian,Chinese,South,Indian,Punjabi,Fast,Food,North,Indian,Sweets,Beverages,,Ice,Cream,Indian,Home,Food,North,Indian,Andhra,Healthy,Food,Thalis,Desserts,Indian,Punjabi,North,Indian,South,Indian,Pan-Asian,Continental,Biryani,Pizzas,Chinese,Combo,Tibetan,North,Indian,South,Indian,Oriental,Chinese,Thai,Continental,American,Italian,Desserts,Indian,Biryani,Tandoor,Bengali,Fast,Food,Chinese,Bakery,,Fast,Food,,Snacks,Desserts,Bengali,,Chinese,North,Indian,Continental,Asian,European,Desserts,Fast,Food,Snacks,Italian,Fast,Food,Snacks,American,Fast,Food,North,Indian,Indian,Keto,Indian,Italian,Continental,Snacks,Beverages,Ice,Cream,Snacks,Continental,,Italian,,Indian,,Chinese,Andhra,South,Indian,North,Indian,Biryani,Healthy,Food,,Juices,,Continental,Chinese,Indian,Kebabs,Snacks,North,Indian,Bakery,Desserts,Ice,Cream,Beverages,North,Indian,Biryani,Combo,Snacks,North,Indian,Biryani,Combo,Snacks,Desserts,Chinese,Bengali,,Indian,,Combo,European,Italian,American,Pastas,Salads,Juices,Desserts,Combo,South,Indian,Chinese,South,Indian,Indian,North,Indian,Chinese,Biryani,Tandoor,Chinese,Asian,Vietnamese,Pan-Asian,Seafood,Desserts,Asian,South,Indian,North,Indian,Beverages,Indian,Bakery,Desserts,Indian,Chinese,Asian,Fast,Food,Combo,Tibetan,Chinese,,Asian,,Korean,,Pan-Asian,,Seafood,,Thai,,Japanese,,Sushi,,Burmese,,Tibetan,Indian,,Gujarati,,Punjabi,,Thalis,Arabian,Indian,Chinese,Beverages,Street,Food,Pizzas,Beverages,Fast,Food,Fast,Food,Chinese,Biryani,Combo,Snacks,Indian,Italian,Fast,Food,Chinese,Chinese,Asian,Oriental,Seafood,Desserts,North,Indian,Chinese,Pizzas,Continental,Desserts,Pastas,Fast,Food,American,Italian,Salads,Combo,Biryani,Chinese,Combo,Beverages,Indian,,Chinese,Indian,Biryani,Indian,Chinese,Beverages,Italian,Chinese,Indian,Chinese,Indian,Biryani,Indian,Kebabs,Healthy,Food,Salads,Cafe,Fast,Food,Beverages,Continental,European,Italian,Pastas,Bakery,Desserts,Indian,South,Indian,Biryani,Biryani,South,Indian,North,Indian,North,Indian,Bengali,Thalis,Indian,Combo,North,Indian,,Chinese,Asian,Continental,North,Indian,Tandoor,Chinese,Thai,Pizzas,Beverages,Snacks,South,Indian,Kerala,Pizzas,Pastas,Asian,Desserts,Snacks,Beverages,Indian,Indian,Continental,Indian,Punjabi,Indian,Japanese,,Mughlai,,Chinese,,North,Indian,,Biryani,,Pan-Asian,,Sushi,,Seafood,,Kebabs,,Desserts,Asian,Pan-Asian,Korean,Italian,Pizzas,Continental,Pastas,North,Indian,Mughlai,Biryani,Grill,Seafood,Kebabs,Desserts,North,Indian,Mughlai,Biryani,Grill,Seafood,Kebabs,Desserts,North,Indian,Indian,North,Indian,Fast,Food,Indian,Mughlai,Pizzas,Juices,North,Indian,Chinese,Biryani,Snacks,Chaat,Beverages,Indian,Indian,Continental,Beverages,Snacks,American,,Chinese,,Continental,,Desserts,Bengali,,Italian,,Chinese,,Combo,,Snacks,,Kebabs,,Indian,Chinese,Chinese,Fast,Food,Indian,Continental,Bengali,Chinese,Biryani,North,Indian,North,Indian,Chinese,Biryani,Fast,Food,Indian,Italian,Chinese,American,Biryani,Indian,Chinese,Tibetan,Indian,North,Indian,Indian,Chinese,Ice,Cream,North,Indian,Tandoor,Chinese,Beverages,Desserts,Beverages,,Desserts,Indian,,Chinese,,Tandoor,Indian,Indian,Mediterranean,Lebanese,Arabian,Turkish,Arabian,Pizzas,Chinese,Pizzas,Beverages,Combo,Snacks,Desserts,Ice,Cream,Beverages,Chinese,Beverages,North,Indian,Indian,Punjabi,Desserts,Beverages,Combo,Biryani,Chinese,Indian,Biryani,Fast,Food,Chinese,South,Indian,Healthy,Food,Beverages,Juices,Indian,Chinese,Asian,Seafood,Ice,Cream,Desserts,Biryani,Kerala,South,Indian,Thalis,Indian,,Chinese,,Tandoor,,Punjabi,Beverages,Desserts,Snacks,North,Indian,Punjabi,Mughlai,Home,Food,North,Indian,Continental,Chinese,Indian,Arabian,South,Indian,Ice,Cream,Chinese,Indian,Fast,Food,Chinese,Indian,North,Indian,Indian,Salads,Biryani,Chinese,Juices,Desserts,North,Indian,Indian,Salads,Biryani,Chinese,Juices,Desserts,Punjabi,Chinese,Seafood,Indian,Fast,Food,North,Indian,Chinese,Biryani,North,Indian,Mughlai,Seafood,Biryani,Desserts,Kebabs,North,Indian,Mughlai,Seafood,Biryani,Desserts,Kebabs,Chinese,South,Indian,Chinese,Snacks,Bengali,Chinese,Thalis,Pizzas,Indian,Snacks,Ice,Cream,Beverages,Fast,Food,Biryani,North,Indian,Kebabs,Chinese,Indian,Snacks,Fast,Food,American,Continental,Beverages,Asian,Tibetan,Chinese,Fast,Food,Snacks,Desserts,South,Indian,Chinese,Bakery,American,Beverages,Pastas,Desserts,Chinese,Pan-Asian,Thai,Oriental,Biryani,Indian,Thalis,Combo,South,Indian,Bakery,Indian,Italian,Continental,Chinese,Biryani,Arabian,Chinese,North,Indian,Mughlai,Seafood,Biryani,Desserts,Kebabs,North,Indian,Mughlai,Seafood,Biryani,Desserts,Kebabs,Fast,Food,,Combo,,Desserts,,Beverages,Indian,Biryani,Chinese,Fast,Food,South,Indian,Bakery,Desserts,Indian,Indian,Chinese,South,Indian,Indian,Fast,Food,Chinese,North,Indian,Kashmiri,Ice,Cream,Beverages,Snacks,Indian,Bakery,Indian,Chinese,Tandoor,South,Indian,Indian,Chinese,Seafood,Kebabs,Snacks,Combo,Biryani,Chinese,Indian,Italian,,American,,Mexican,,Pastas,,Pizzas,,Desserts,,Salads,,Snacks,European,North,Indian,,Chinese,,Biryani,,Fast,Food,Beverages,,Snacks,,Desserts,Beverages,Snacks,Desserts,Thai,Oriental,Seafood,Pan-Asian,Asian,Chinese,Indian,Chinese,Indian,Indian,Chinese,Bakery,Bakery,Desserts,Sweets,Japanese,Pan-Asian,Bakery,,Desserts,,Sweets,Bakery,Desserts,Sweets,Indian,North,Indian,Mughlai,Biryani,Punjabi,American,Italian,South,Indian,Indian,Mughlai,Chinese,Biryani,Fast,Food,Punjabi,Biryani,Kebabs,Hyderabadi,Tandoor,Chinese,Pan-Asian,Seafood,Oriental,American,Fast,Food,Indian,Pastas,Chinese,Kebabs,Biryani,Desserts,Fast,Food,Punjabi,South,Indian,Ice,Cream,Snacks,Fast,Food,American,Indian,Indian,North,Indian,Indian,Biryani,Punjabi,Kebabs,Grill,Mughlai,Desserts,Fast,Food,,Indian,,Chaat,,North,Indian,,Jain,,Mughlai,,Snacks,,Desserts,Bengali,Bengali,Mughlai,Biryani,Indian,Seafood,Bengali,North,Indian,Biryani,Bengali,Biryani,Tandoor,Asian,Chinese,Oriental,North,Indian,Mughlai,Seafood,Biryani,Desserts,Kebabs,Pizzas,Italian,Fast,Food,Desserts,Continental,Mediterranean,American,Mexican,Indian,Combo,Beverages,Bakery,French,Sweets,European,Lebanese,Snacks,Biryani,Chinese,Fast,Food,Biryani,Italian,Desserts,Ice,Cream,North,Indian,South,Indian,North,Indian,South,Indian,Chinese,Bengali,Kebabs,North,Indian,Chinese,Mughlai,Beverages,Combo,South,Indian,Cafe,Indian,Indian,North,Indian,Mughlai,Kebabs,Biryani,Tandoor,Indian,Chinese,Mughlai,Biryani,Punjabi,South,Indian,,North,Indian,,Chinese,Indian,Continental,Chinese,Ice,Cream,Beverages,Indian,Sweets,Desserts,,Ice,Cream,Chinese,Pan-Asian,Cafe,Snacks,Continental,Pizzas,Fast,Food,North,Indian,Bakery,Salads,Chinese,Juices,Desserts,Beverages,North,Indian,Mughlai,Seafood,Biryani,Desserts,Kebabs,Mexican,Salads,Asian,Asian,Pizzas,Indian,Bakery,Indian,Chinese,Biryani,Bengali,Continental,Snacks,Indian,Indian,Bakery,Continental,,Fast,Food,,North,Indian,Tibetan,Chinese,Asian,Street,Food,Indian,Biryani,Chinese,Tandoor,Kebabs,Chinese,Indian,Indian,Italian,Biryani,Biryani,Chinese,Fast,Food,North,Indian,Biryani,Combo,South,Indian,Chettinad,North,Indian,Kebabs,Tandoor,Biryani,Combo,Bakery,Salads,Biryani,Combo,Chinese,Indian,Mughlai,Tandoor,Indian,Indian,South,Indian,Chinese,North,Indian,Combo,Indian,Chinese,Pizzas,Combo,American,Desserts,Beverages,Snacks,Combo,Punjabi,Biryani,Thalis,North,Indian,Barbecue,Street,Food,Tandoor,Kebabs,Beverages,Indian,Combo,Chinese,Indian,North,Indian,Biryani,Beverages,Desserts,Beverages,North,Indian,Chinese,Chinese,Snacks,Indian,Andhra,Biryani,Hyderabadi,Chinese,Tandoor,Biryani,Indian,Chinese,South,Indian,Ice,Cream,Juices,Desserts,Beverages,Indian,Pizzas,Salads,Kebabs,American,Mediterranean,Desserts,Snacks,Bakery,Continental,Biryani,Kebabs,Fast,Food,Asian,Chinese,Chinese,Indian,Indian,Fast,Food,Snacks,Combo,North,Indian,Beverages,Combo,Thalis,Desserts,Indian,Biryani,Fast,Food,North,Indian,South,Indian,Chinese,Snacks,Pizzas,Italian,Thai,Asian,Lebanese,Burmese,Japanese,Malaysian,Indian,Salads,Beverages,North,Indian,Biryani,Mughlai,Snacks,Beverages,Snacks,Chinese,Nepalese,Beverages,Fast,Food,North,Indian,Snacks,Street,Food,Beverages,Chaat,Desserts,,Bakery,,Ice,Cream,Indian,Tandoor,Thalis,North,Indian,Chinese,Biryani,Indian,North,Indian,Chinese,Biryani,Tandoor,North,Indian,Biryani,Kebabs,Beverages,Desserts,Italian,Pizzas,Desserts,Salads,North,Indian,Chinese,Punjabi,Combo,Fast,Food,Beverages,Desserts,Chinese,Asian,Chinese,Biryani,Fast,Food,Beverages,Indian,Indian,Fast,Food,Desserts,Punjabi,Chinese,Indian,Bakery,Desserts,Ice,Cream,Beverages,North,Indian,Chinese,Biryani,Pizzas,Italian,Snacks,Pizzas,Italian,Biryani,North,Indian,Mughlai,Mexican,Fast,Food,Salads,Bakery,Desserts,Ice,Cream,Andhra,Biryani,Chinese,Fast,Food,Beverages,South,Indian,Desserts,Bakery,Snacks,Desserts,Italian,Pizzas,Pastas,Continental,Salads,Desserts,Beverages,Combo,Healthy,Food,Fast,Food,Snacks,North,Indian,Desserts,Beverages,Street,Food,Combo,North,Indian,Chinese,South,Indian,Beverages,North,Indian,Bengali,Pizzas,Fast,Food,Indian,Chinese,Tandoor,Biryani,Combo,Biryani,Asian,Chinese,Oriental,Beverages,South,Indian,Biryani,Chinese,Indian,North,Indian,Kebabs,Grill,Biryani,South,Indian,Chinese,Snacks,,Fast,Food,,Beverages,North,Indian,Chinese,Beverages,Pizzas,Fast,Food,Beverages,Biryani,Chinese,Combo,Desserts,Mughlai,Indian,Indian,Bakery,Desserts,Sweets,Biryani,Indian,Fast,Food,Biryani,Chinese,Desserts,Chinese,Bakery,Fast,Food,Middle,Eastern,Lebanese,Pizzas,Italian,Pastas,Desserts,Beverages,Continental,Indian,Mediterranean,Indian,Chinese,South,Indian,Continental,Tandoor,Snacks,Fast,Food,South,Indian,Biryani,Kerala,South,Indian,North,Indian,Beverages,Desserts,Biryani,Andhra,Hyderabadi,South,Indian,North,Indian,Tandoor,Beverages,Desserts,Chinese,Fast,Food,Pan-Asian,Combo,Biryani,Andhra,Hyderabadi,South,Indian,North,Indian,Tandoor,Beverages,Desserts,Indian,Cafe,North,Indian,Indian,Beverages,Sweets,,Desserts,,Chaat,Italian,Pizzas,Pastas,Continental,Salads,Desserts,Beverages,Combo,Pizzas,Fast,Food,Beverages,Salads,Pastas,Desserts,Biryani,North,Indian,Mughlai,Desserts,South,Indian,Indian,Ice,Cream,Indian,North,Indian,Indian,Biryani,Punjabi,Kebabs,Mughlai,Desserts,Combo,Chinese,Indian,Desserts,Chinese,Combo,Asian,North,Indian,Biryani,Desserts,Combo,Thalis,Desserts,Indian,Chinese,Cafe,Bakery,Indian,North,Indian,Chinese,Combo,Biryani,Pizzas,Ice,Cream,Continental,Desserts,Snacks,,Pizzas,Juices,Beverages,Snacks,Ice,Cream,Beverages,Ice,Cream,Snacks,Desserts,Pizzas,Street,Food,Juices,Chinese,Indian,Indian,Beverages,Juices,Healthy,Food,Pan-Asian,Burmese,Chinese,Sushi,North,Indian,Chinese,Combo,Snacks,Indian,North,Indian,Indian,Chinese,Snacks,Snacks,Pizzas,Beverages,Chinese,Tandoor,Indian,Chinese,Asian,Biryani,Andhra,Hyderabadi,South,Indian,North,Indian,Tandoor,Beverages,Desserts,North,Indian,Tandoor,Punjabi,Chinese,Pizzas,Fast,Food,Salads,Desserts,Indian,Chinese,Biryani,Fast,Food,Indian,Indian,North,Indian,Kebabs,Punjabi,Tandoor,Biryani,Indian,Chinese,Snacks,Beverages,Pizzas,Indian,Chinese,Italian,North,Indian,,Combo,,Street,Food,,Fast,Food,,Beverages,Chinese,Ice,Cream,North,Indian,,Chinese,,Biryani,,Fast,Food,,Desserts,,Beverages,Chinese,Pizzas,Italian,Pizzas,,Fast,Food,Indian,Indian,Chinese,North,Indian,Biryani,Desserts,Pan-Asian,Burmese,Chinese,Sushi,Indian,Cafe,Healthy,Food,Combo,Chinese,Indian,Desserts,Bengali,Indian,Snacks,Fast,Food,Home,Food,Desserts,Beverages,Combo,Chinese,Beverages,North,Indian,South,Indian,Chinese,Bakery,,Desserts,Chinese,Fast,Food,Fast,Food,Fast,Food,Chinese,Combo,Asian,Biryani,Chinese,Indian,North,Indian,Punjabi,Tandoor,Biryani,Kebabs,Desserts,Combo,Thalis,Desserts,Indian,Chinese,North,Indian,Biryani,Desserts,Chinese,Combo,Asian,Desserts,North,Indian,Punjabi,Fast,Food,Pizzas,Indian,Chinese,South,Indian,American,Fast,Food,Kebabs,Mughlai,Biryani,Combo,Beverages,Snacks,Cafe,Indian,Chinese,Tandoor,Kebabs,Pizzas,Fast,Food,Snacks,Beverages,Bengali,Thalis,Juices,Healthy,Food,Fast,Food,Fast,Food,Healthy,Food,Italian,Desserts,Continental,Desserts,Indian,Chinese,Continental,Seafood,Desserts,Bakery,Continental,Pizzas,North,Indian,Healthy,Food,Biryani,Beverages,Chinese,Indian,North,Indian,Biryani,Tandoor,Barbecue,Chinese,Beverages,Chinese,Asian,Fast,Food,North,Indian,Chinese,Bakery,Desserts,Sweets,North,Indian,Biryani,Fast,Food,Biryani,Hyderabadi,Indian,Kebabs,North,Indian,South,Indian,Andhra,Afghani,Combo,Desserts,Beverages,Punjabi,Kerala,Sweets,Arabian,Lucknowi,Parsi,Tandoor,Biryani,Hyderabadi,Indian,Kebabs,North,Indian,South,Indian,Andhra,Afghani,Combo,Desserts,Beverages,Punjabi,Kerala,Sweets,Arabian,Lucknowi,Parsi,Tandoor,Street,Food,Beverages,Beverages,Chinese,Beverages,Desserts,Chinese,Grill,Turkish,Mediterranean,Middle,Eastern,Lebanese,Arabian,Chinese,Oriental,Pan-Asian,Indian,Tandoor,Chinese,Mughlai,Pizzas,Indian,Chinese,Pizzas,Fast,Food,Asian,Chinese,Fast,Food,Beverages,Snacks,Fast,Food,North,Indian,Indian,Snacks,Beverages,Fast,Food,Combo,Snacks,Beverages,Desserts,Indian,Biryani,,Mughlai,,Lucknowi,,Hyderabadi,,Kebabs,,North,Indian,,Persian,,Desserts,Pizzas,Italian,Mexican,Pastas,North,Indian,,Punjabi,,Combo,,Biryani,,Healthy,Food,,Jain,,Thalis,,Indian,,Mughlai,,Desserts,Bakery,,Desserts,,Beverages,North,Indian,,Punjabi,,Biryani,,Combo,,Chinese,,Beverages,,Desserts,,Jain,,Indian,,Hyderabadi,,Mughlai,Biryani,,Hyderabadi,,Lucknowi,,North,Indian,,Mughlai,,Combo,,Desserts,Fast,Food,Chaat,Beverages,Bengali,Beverages,Snacks,Sweets,Combo,Thalis,Bangladeshi,Seafood,Desserts,Beverages,Ice,Cream,Cafe,Snacks,Fast,Food,Indian,Chinese,Tandoor,Italian,Fast,Food,Indian,Home,Food,North,Indian,Punjabi,Snacks,Combo,Desserts,Punjabi,Italian,,Continental,,Snacks,Desserts,Ice,Cream,South,Indian,Kerala,Biryani,North,Indian,Pizzas,Italian,European,Mediterranean,Pastas,Continental,Seafood,Middle,Eastern,Grill,Greek,Salads,Oriental,Biryani,Kebabs,North,Indian,Tandoor,Combo,Biryani,Andhra,Hyderabadi,South,Indian,North,Indian,Tandoor,Beverages,Desserts,Indian,Italian,Chinese,Pastas,Fast,Food,Chinese,Fast,Food,Italian,Asian,Thai,Pizzas,Street,Food,Indian,Indian,Chinese,Desserts,Indian,Bakery,Desserts,Pizzas,Fast,Food,North,Indian,North,Indian,Chinese,Punjabi,Italian,Continental,South,Indian,North,Indian,Bengali,Chinese,North,Indian,Chinese,North,Indian,South,Indian,Chinese,Biryani,North,Indian,Indian,Pizzas,North,Indian,Chinese,Biryani,Telangana,Ice,Cream,Chinese,Chinese,North,Indian,Biryani,North,Indian,Mughlai,Kebabs,Lucknowi,Awadhi,Indian,Chinese,Snacks,Fast,Food,Ice,Cream,Beverages,Pizzas,Juices,Biryani,Fast,Food,Snacks,Combo,Beverages,Fast,Food,Combo,Snacks,North,Indian,Street,Food,Beverages,Desserts,Desserts,Beverages,Healthy,Food,Salads,Combo,Lebanese,Mediterranean,Mexican,Pizzas,Juices,Beverages,North,Indian,Biryani,Chinese,Indian,Tandoor,Desserts,Biryani,North,Indian,Mughlai,Afghani,Hyderabadi,Kebabs,Chinese,Fast,Food,Chinese,Fast,Food,Biryani,Mughlai,North,Indian,Tandoor,Kerala,Chinese,Seafood,Combo,Beverages,Desserts,North,Indian,Chinese,Tandoor,North,Indian,Punjabi,Mughlai,Combo,Beverages,Desserts,Street,Food,Burmese,Fast,Food,Bakery,Fast,Food,Snacks,Pizzas,Italian-American,Biryani,Continental,Italian,Pizzas,Chinese,Fast,Food,Snacks,Sweets,Pizzas,Chinese,Indian,Snacks,Indian,Street,Food,Chaat,Snacks,Fast,Food,Street,Food,Snacks,Indian,Beverages,Continental,Desserts,Indian,Indian,Indian,Biryani,,Indian,South,Indian,Beverages,Italian,Salads,Fast,Food,Chinese,Barbecue,Biryani,Indian,Thalis,Kerala,Combo,Indian,Beverages,South,Indian,Fast,Food,North,Indian,Snacks,Salads,Beverages,Indian,Pastas,Beverages,Desserts,North,Indian,Asian,Chinese,Japanese,Pan-Asian,Thai,Sushi,Oriental,Desserts,Italian,Pizzas,Pastas,Snacks,Beverages,Chaat,Fast,Food,Beverages,Snacks,South,Indian,Fast,Food,Pizzas,Italian,Continental,Desserts,Beverages,Indian,Fast,Food,Indian,Biryani,Indian,Chinese,Street,Food,Mexican,Chinese,Beverages,Beverages,French,Indian,Indian,Biryani,,Indian,,North,Indian,Asian,,Chinese,Indian,,Biryani,,Tandoor,Fast,Food,Snacks,Chinese,Pan-Asian,Biryani,Indian,Chinese,Tandoor,Combo,Indian,Indian,Chinese,Biryani,American,Snacks,Continental,Chinese,Indian,Chinese,Biryani,Beverages,European,Continental,Chinese,Biryani,North,Indian,Arabian,Lebanese,Chinese,Thai,Seafood,Asian,Snacks,Chinese,Pizzas,European,Asian,Tandoor,Desserts,Biryani,Kebabs,Desserts,Indian,Desserts,,Bakery,North,Indian,Indian,Punjabi,Chinese,Biryani,Thalis,Combo,Mughlai,Beverages,Desserts,Snacks,Sweets,Indian,Indian,Fast,Food,Snacks,Continental,Snacks,Fast,Food,Indian,Arabian,Fast,Food,North,Indian,Snacks,Fast,Food,Desserts,Beverages,Indian,Fast,Food,Beverages,Mughlai,North,Indian,Hyderabadi,Tandoor,Kebabs,Grill,Biryani,Continental,,Indian,Indian,Biryani,Indian,Fast,Food,Chinese,,Thai,,Korean,,Seafood,Chinese,North,Indian,Continental,Salads,Beverages,,South,Indian,Indian,Indian,Chinese,Tandoor,Continental,Indian,North,Indian,Chinese,Healthy,Food,Chinese,Indian,Tandoor,Italian,Continental,Pizzas,Snacks,North,Indian,Beverages,Fast,Food,South,Indian,Snacks,North,Indian,American,,Chinese,,Indian,Indian,,Seafood,,Chinese,,Ice,Cream,Chinese,Biryani,Chinese,North,Indian,Biryani,North,Indian,Desserts,Biryani,,North,Indian,,Desserts,Biryani,North,Indian,Desserts,Chinese,Seafood,Mughlai,Italian,,Pizzas,,Pastas,,Desserts,,Beverages,Continental,North,Indian,Biryani,Chinese,Fast,Food,Snacks,Combo,Asian,North,Indian,Chinese,Beverages,Desserts,Combo,Indian,Chinese,,Indian,,Snacks,Indian,Biryani,Chinese,Fast,Food,Pastas,Kebabs,Bakery,Desserts,Beverages,Juices,Fast,Food,Snacks,Snacks,Fast,Food,Pizzas,Arabian,Beverages,Chinese,Chinese,Thai,Seafood,Asian,Combo,Healthy,Food,Beverages,Chinese,Continental,Pizzas,Pastas,Snacks,Fast,Food,Italian,Continental,Pizzas,Indian,Chinese,Continental,Beverages,Desserts,Beverages,Continental,Desserts,Waffle,Snacks,Beverages,Continental,Juices,Snacks,Beverages,American,Snacks,Beverages,Arabian,Kebabs,Snacks,South,Indian,Indian,Healthy,Food,Salads,Fast,Food,Mexican,Healthy,Food,Desserts,Beverages,Fast,Food,Combo,North,Indian,Chinese,Punjabi,Kebabs,Fast,Food,Tandoor,Bakery,Chinese,Chinese,Bakery,Chinese,Biryani,Snacks,Continental,Indian,Thalis,Combo,Punjabi,Snacks,Tandoor,Chinese,Pizzas,Beverages,Indian,Chinese,Tandoor,Oriental,North,Indian,Indian,Tandoor,Biryani,Fast,Food,North,Indian,Chinese,Thai,Biryani,Chinese,South,Indian,North,Indian,Tandoor,South,Indian,Fast,Food,Indian,Beverages,Pizzas,Italian,Continental,American,Desserts,North,Indian,Chinese,Combo,Salads,European,Italian,Juices,Bakery,Desserts,Combo,Indian,Fast,Food,Pastas,Desserts,Indian,North,Indian,Mughlai,Kebabs,Chinese,Continental,Chinese,Thai,Korean,Seafood,Italian,Continental,Japanese,Desserts,Pan-Asian,Bakery,Snacks,Indian,Chinese,Biryani,Middle,Eastern,Mughlai,Seafood,Combo,Bengali,Indian,Chinese,Snacks,Indian,Pan-Asian,Japanese,Korean,Thai,Sushi,Beverages,Asian,Chinese,South,Indian,Snacks,Fast,Food,Snacks,,Salads,,Desserts,South,Indian,Biryani,Desserts,Biryani,Chinese,South,Indian,,Indian,,Chinese,,Combo,,Punjabi,,Biryani,Italian,Pizzas,Fast,Food,Desserts,Bakery,Biryani,Indian,Ice,Cream,Indian,Pizzas,Chinese,Snacks,Fast,Food,Beverages,Snacks,Beverages,Maharashtrian,North,Indian,,Mughlai,Chinese,Italian,Mexican,Desserts,Combo,Thalis,Desserts,Indian,Biryani,Chinese,Combo,Asian,Chinese,Tibetan,Indian,Italian,Pizzas,Pastas,Indian,Desserts,American,South,Indian,Kerala,Healthy,Food,,Snacks,,Desserts,Indian,Bakery,North,Indian,Lebanese,Mughlai,Kebabs,Tandoor,Continental,Bakery,Indian,Fast,Food,Chinese,Arabian,Desserts,Ice,Cream,Indian,,North,Indian,,Chinese,,Biryani,North,Indian,Biryani,Hyderabadi,Lucknowi,Kebabs,South,Indian,Chinese,Pizzas,Andhra,Hyderabadi,Maharashtrian,Fast,Food,Salads,Beverages,North,Indian,Indian,Indian,Indian,Chinese,Italian,Bakery,Italian,Desserts,Chinese,Indian,Arabian,Desserts,Fast,Food,Kebabs,Beverages,Snacks,Fast,Food,Chinese,Indian,Indian,Chinese,South,Indian,North,Indian,Chinese,Punjabi,Snacks,Combo,North,Indian,Chinese,Biryani,Chinese,Indian,Bakery,,Desserts,,Sweets,Indian,Desserts,Sweets,Bakery,Fast,Food,Snacks,Beverages,Arabian,Mediterranean,Chinese,Biryani,Snacks,Chinese,Fast,Food,Pizzas,Pastas,Indian,Beverages,Pastas,Desserts,Healthy,Food,Continental,Indian,Chinese,Biryani,Arabian,Seafood,Indian,Indian,Indian,Mughlai,Beverages,,Italian,Indian,Chinese,Bengali,North,Indian,Fast,Food,Snacks,Desserts,Bakery,Beverages,Fast,Food,Chinese,Beverages,Bakery,Beverages,Snacks,South,Indian,North,Indian,Continental,Beverages,Snacks,Pizzas,Snacks,Beverages,Indian,Chinese,Biryani,Combo,Beverages,Italian,Desserts,Pizzas,American,Snacks,North,Indian,Punjabi,Indian,Thalis,Kebabs,Indian,Desserts,,Beverages,North,Indian,Chinese,Biryani,Tandoor,Kebabs,Snacks,Desserts,Beverages,South,Indian,Chinese,Juices,Indian,Combo,Fast,Food,Healthy,Food,Juices,Beverages,Snacks,Desserts,South,Indian,Beverages,Chinese,Indian,Chinese,Chinese,Indian,Beverages,Desserts,South,Indian,Italian,Fast,Food,Beverages,Desserts,Bakery,Thalis,Indian,Bakery,,Desserts,Asian,Continental,North,Indian,Thai,Italian,Fast,Food,Snacks,Beverages,Mexican,Beverages,Chinese,,Continental,,Fast,Food,,Desserts,Chinese,Indian,South,Indian,Chinese,Italian,Pizzas,Pastas,Desserts,Fast,Food,Indian,Chinese,Biryani,Snacks,Snacks,Fast,Food,Waffle,Desserts,Ice,Cream,Pastas,Combo,Beverages,Indian,Chinese,Tandoor,Fast,Food,Beverages,Chinese,North,Indian,Chinese,Tandoor,Grill,Barbecue,Indian,Seafood,Chinese,North,Indian,Bengali,Fast,Food,Biryani,Kebabs,Lucknowi,North,Indian,Desserts,Beverages,Chinese,Fast,Food,Snacks,Chinese,North,Indian,Bengali,Tandoor,Beverages,Desserts,Chinese,Asian,Oriental,Healthy,Food,Tibetan,Thai,Seafood,Bengali,Mughlai,Indian,Indian,Tandoor,Kebabs,Chaat,Snacks,Street,Food,North,Indian,South,Indian,Indian,Biryani,Biryani,Indian,Continental,Fast,Food,Indian,Desserts,Pastas,Indian,Chinese,Combo,Sweets,Indian,Italian,Snacks,Desserts,Bakery,Indian,Chinese,Beverages,Pizzas,North,Indian,Chinese,Chinese,Indian,Italian,Fast,Food,Snacks,Beverages,Ice,Cream,Desserts,Fast,Food,Ice,Cream,North,Indian,Bengali,Biryani,Ice,Cream,Italian,Pizzas,Pastas,Continental,Salads,Desserts,Beverages,Combo,Indian,Snacks,Beverages,Beverages,Bakery,North,Indian,Indian,Punjabi,Biryani,Chaat,Kebabs,Tandoor,Mughlai,Combo,Desserts,North,Indian,,Indian,,Continental,Asian,,Chinese,,Seafood,Continental,,Chinese,Chinese,North,Indian,Thalis,Punjabi,Bakery,Ice,Cream,Chinese,Indian,North,Indian,Fast,Food,North,Indian,Chinese,Fast,Food,Pizzas,Snacks,Fast,Food,,Snacks,North,Indian,Lebanese,Biryani,Indian,Indian,Chinese,Combo,Biryani,Combo,Indian,Fast,Food,Fast,Food,Indian,Fast,Food,Indian,American,Fast,Food,Snacks,Beverages,Italian-American,Seafood,Biryani,Indian,Indian,Indian,,Continental,,Snacks,,Sweets,Biryani,Fast,Food,Tandoor,Mughlai,North,Indian,,Tandoor,,Punjabi,,Seafood,Fast,Food,Cafe,Italian,American,Fast,Food,American,Snacks,Desserts,Bakery,Bakery,Chinese,Continental,Mughlai,North,Indian,Chinese,Biryani,Punjabi,Combo,Desserts,Indian,Combo,North,Indian,Kebabs,Biryani,Snacks,Combo,Punjabi,Desserts,Tandoor,Indian,Chinese,Thai,Pan-Asian,Oriental,Indian,Indian,Chinese,,Thai,,Asian,,Oriental,Pizzas,Tandoor,Fast,Food,Indian,Biryani,Hyderabadi,Desserts,South,Indian,Indian,North,Indian,Indian,Chinese,Biryani,American,Fast,Food,Beverages,Chinese,Beverages,Fast,Food,Tibetan,Asian,Chinese,Fast,Food,Desserts,Snacks,Beverages,Desserts,Italian,Indian,Asian,Pizzas,Pastas,Salads,Desserts,Fast,Food,Italian,Chinese,Biryani,Chinese,Fast,Food,Snacks,Indian,,Fast,Food,Pizzas,Fast,Food,Italian-American,Italian,Fast,Food,Beverages,Biryani,North,Indian,Chinese,Snacks,Fast,Food,Desserts,Bakery,Sweets,Ice,Cream,Beverages,Juices,Bengali,Chinese,Indian,North,Indian,Chinese,Fast,Food,Desserts,Fast,Food,North,Indian,Chinese,Biryani,Fast,Food,Indian,Pizzas,,Pastas,,Beverages,,Snacks,North,Indian,Chinese,Fast,Food,Desserts,Bakery,Continental,Pizzas,Desserts,Ice,Cream,Beverages,Indian,Chinese,Indian,Continental,American,Fast,Food,Pizzas,Desserts,Ice,Cream,Snacks,Punjabi,Chinese,North,Indian,Beverages,Tandoor,Kebabs,Indian,Fast,Food,Indian,Seafood,Chinese,Snacks,Indian,,Fast,Food,,Beverages,,Combo,,Chinese,South,Indian,Chinese,Indian,Tandoor,Chinese,Thai,North,Indian,Paan,Indian,Chinese,Bakery,Desserts,Continental,Chinese,Indian,Thalis,North,Indian,Indian,Pizzas,North,Indian,Indian,Punjabi,Biryani,Biryani,Beverages,Indian,Biryani,Indian,South,Indian,Chinese,Indian,South,Indian,Indian,Chinese,Healthy,Food,Salads,North,Indian,Snacks,Beverages,Thalis,Biryani,North,Indian,Mughlai,Tandoor,Kebabs,North,Indian,Chinese,Biryani,Italian,Chinese,Indian,Biryani,Snacks,Home,Food,North,Indian,Thalis,Beverages,Chinese,Healthy,Food,Indian,Combo,Punjabi,Ice,Cream,Pizzas,Beverages,Fast,Food,Chinese,,Indian,,Thalis,,Beverages,Beverages,Bakery,Bakery,,Indian,,Combo,,Desserts,Desserts,Pizzas,Pastas,Continental,Bakery,Desserts,Chinese,Indian,Fast,Food,Bakery,Desserts,Chettinad,South,Indian,Seafood,Continental,Beverages,Chinese,Continental,Beverages,Indian,,Punjabi,,North,Indian,,Mughlai,,Seafood,Beverages,Fast,Food,Snacks,Indian,Kebabs,Fast,Food,Beverages,North,Indian,Combo,Snacks,,Indian,Indian,American,Mexican,Pastas,Chinese,Fast,Food,Indian,Indian,North,Indian,,South,Indian,,Biryani,,Tandoor,North,Indian,North,Indian,North,Indian,Indian,Indian,Indian,Chinese,Arabian,Continental,Haleem,Chinese,Indian,Mughlai,Chinese,Combo,Thalis,Biryani,Italian,American,Mongolian,Mughlai,Chinese,Tandoor,Sweets,,Desserts,Indian,Chinese,Biryani,Combo,Continental,American,Mexican,Beverages,Desserts,Ice,Cream,Bengali,Snacks,Sweets,Bakery,Fast,Food,Pizzas,Sweets,Indian,Continental,Continental,Beverages,Desserts,Beverages,Snacks,Beverages,Desserts,Indian,American,Beverages,Biryani,,North,Indian,,Chinese,Indian,American,Continental,Bengali,North,Indian,Biryani,Combo,Snacks,North,Indian,Biryani,Combo,Snacks,North,Indian,Biryani,Combo,Snacks,Pizzas,Italian,Punjabi,North,Indian,Thalis,Combo,South,Indian,Bengali,Kebabs,Mughlai,Biryani,North,Indian,Fast,Food,Beverages,Indian,Biryani,Mediterranean,Combo,Fast,Food,Indian,Juices,Beverages,Beverages,Snacks,Juices,Bakery,Desserts,South,Indian,Thalis,Beverages,Pizzas,Continental,Desserts,Arabian,Beverages,Asian,Chinese,Indian,Continental,Italian,American,Japanese,Indian,Chinese,Seafood,Tandoor,Punjabi,Biryani,Healthy,Food,American,Lebanese,Mediterranean,European,Juices,Middle,Eastern,American,Pastas,Fast,Food,Snacks,Desserts,Beverages,North,Indian,Italian,North,Indian,Biryani,Indian,Punjabi,Kebabs,Mughlai,Fast,Food,Hyderabadi,Desserts,Seafood,Home,Food,North,Indian,Healthy,Food,Thalis,Desserts,Indian,Punjabi,Biryani,Indian,Chinese,Snacks,Fast,Food,Beverages,North,Indian,Chinese,Tandoor,Jain,Biryani,Desserts,Beverages,Desserts,Ice,Cream,Snacks,Chaat,Pizzas,,Italian,Ice,Cream,Beverages,Desserts,Biryani,Chinese,Fast,Food,Pan-Asian,North,Indian,Indian,Italian,Continental,Mughlai,North,Indian,Chinese,Cafe,,Italian,,Pizzas,,Fast,Food,,Combo,,Beverages,,Desserts,Continental,Indian,Fast,Food,Pizzas,Chinese,Combo,Indian,Biryani,Seafood,Chinese,Kebabs,Biryani,Indian,Chinese,Pizzas,Italian,Italian-American,Pastas,Beverages,Indian,Beverages,Chinese,Fast,Food,Beverages,Fast,Food,Home,Food,Indian,Healthy,Food,North,Indian,Snacks,Maharashtrian,Sweets,South,Indian,Combo,Desserts,Beverages,Kebabs,Asian,North,Indian,Continental,Healthy,Food,Punjabi,Home,Food,Oriental,Desserts,Beverages,Pan-Asian,Bengali,Mangalorean,Kashmiri,Lucknowi,Chinese,Sweets,Kebabs,Combo,Rajasthani,Awadhi,North,Indian,,Punjabi,,Home,Food,,Indian,,Snacks,,Combo,,Desserts,,Beverages,,South,Indian,,Continental,,Chettinad,,Healthy,Food,,Chinese,,Sweets,Biryani,Hyderabadi,Indian,Kebabs,North,Indian,South,Indian,Andhra,Afghani,Combo,Desserts,Beverages,Punjabi,Kerala,Sweets,Arabian,Lucknowi,Parsi,Tandoor,Pizzas,,Italian,,Fast,Food,,Desserts,,Continental,,Mediterranean,,American,,Mexican,,Indian,,Combo,,Beverages,,Bakery,,French,,Sweets,,European,,Lebanese,,Snacks,Chinese,Continental,Ice,Cream,Indian,Pastas,Pizzas,Continental,Beverages,Salads,Italian,Mexican,Desserts,Beverages,Chaat,Fast,Food,Tibetan,Beverages,Italian,Beverages,North,Indian,Chinese,Tandoor,Biryani,Biryani,North,Indian,Indian,Chinese,Continental,Indian,Biryani,Chinese,Combo,Indian,American,Fast,Food,Italian,Italian,American,Chinese,South,Indian,North,Indian,Chinese,Continental,Tandoor,Indian,,Fast,Food,,Bakery,South,Indian,Italian,Fast,Food,Beverages,South,Indian,North,Indian,Snacks,Combo,American,Snacks,Chinese,Indian,Fast,Food,Fast,Food,Continental,Snacks,Beverages,Pizzas,Ice,Cream,Chinese,Burmese,Thai,Beverages,Thalis,Indian,North,Indian,Indian,Biryani,Chinese,Continental,Desserts,Desserts,Desserts,Bakery,Sweets,Ice,Cream,Beverages,Juices,Bengali,Indian,Asian,Continental,Indian,North,Indian,Desserts,North,Indian,Indian,Biryani,Chinese,Biryani,Indian,Chinese,Indian,Biryani,Chinese,North,Indian,North,Indian,Continental,Indian,Italian,Mexican,Asian,Sweets,North,Indian,Pizzas,Chinese,Indian,Tandoor,Fast,Food,South,Indian,North,Indian,Indian,Biryani,Seafood,Tandoor,Barbecue,Pizzas,Fast,Food,Snacks,Pastas,Beverages,Chinese,Thai,Snacks,Chinese,Pan-Asian,Fast,Food,Beverages,Arabian,Grill,Pizzas,Seafood,Fast,Food,Tandoor,Biryani,Mughlai,Tandoor,North,Indian,Chinese,Tandoor,Snacks,Arabian,Tandoor,Chinese,American,Chinese,South,Indian,Pizzas,Beverages,Ice,Cream,Combo,Italian,Seafood,Desserts,Continental,Salads,Pizzas,Pastas,Beverages,Chinese,Biryani,Desserts,North,Indian,Mughlai,Maharashtrian,Biryani,Kebabs,Tandoor,Beverages,South,Indian,Fast,Food,Beverages,Pizzas,Chinese,Combo,Indian,Beverages,Tandoor,Chinese,Juices,Ice,Cream,Bakery,Desserts,Snacks,Indian,South,Indian,American,North,Indian,Fast,Food,Punjabi,Chinese,Snacks,,Beverages,Chinese,Indian,Desserts,,Bakery,Beverages,Snacks,Fast,Food,Desserts,Chinese,Fast,Food,Malaysian,Asian,Indian,Beverages,Snacks,Desserts,Combo,Chinese,Asian,Combo,Tibetan,Oriental,Thai,Pan-Asian,Biryani,North,Indian,Chinese,,Asian,Tandoor,Indian,Biryani,Mughlai,North,Indian,Tandoor,Chinese,Continental,Fast,Food,Continental,Pizzas,Chinese,Bakery,Fast,Food,Italian,Chinese,Snacks,Indian,Chinese,Tandoor,Fast,Food,Biryani,North,Indian,Tandoor,Biryani,Mughlai,Chinese,Fast,Food,Thai,Andhra,Indian,Tandoor,Beverages,Chinese,Biryani,Hyderabadi,Fast,Food,Mexican,Beverages,Desserts,North,Indian,South,Indian,Ice,Cream,,Desserts,Bengali,Chinese,Chinese,Continental,Indian,Chinese,South,Indian,Chinese,Arabian,Fast,Food,Chinese,Fast,Food,Fast,Food,Indian,Chinese,Biryani,Mughlai,Tandoor,North,Indian,Combo,Chinese,Fast,Food,Indian,Fast,Food,Chinese,Indian,North,Indian,Biryani,Mughlai,Tandoor,Indian,North,Indian,,Desserts,,Biryani,Biryani,Chinese,Indian,Italian,Chaat,Maharashtrian,Seafood,Malwani,Chinese,North,Indian,Continental,Salads,North,Indian,Fast,Food,Snacks,Desserts,Beverages,Street,Food,Combo,Indian,Chinese,Italian,Pastas,Pizzas,Desserts,South,Indian,Snacks,South,Indian,Beverages,Arabian,Barbecue,Afghani,Combo,Greek,Grill,Fast,Food,Chinese,Beverages,Chinese,South,Indian,Biryani,Chinese,South,Indian,Desserts,Continental,Italian,Indian,Beverages,Desserts,Fast,Food,Indian,Indian,,South,Indian,,Chinese,North,Indian,Snacks,Pastas,Fast,Food,North,Indian,,Tandoor,,Biryani,Fast,Food,Combo,Desserts,Bakery,Paan,Beverages,Desserts,South,Indian,North,Indian,Tandoor,Mediterranean,Continental,Mongolian,Indian,Asian,Chinese,Desserts,Beverages,Biryani,Indian,Fast,Food,Continental,Asian,Italian,Fast,Food,Fast,Food,Pizzas,Bakery,Snacks,Pastas,Fast,Food,Combo,Indian,,Tandoor,,Biryani,Biryani,Beverages,Juices,Pastas,Pizzas,Ice,Cream,Chinese,Indian,Chinese,North,Indian,Indian,Continental,Pastas,Pizzas,Beverages,Desserts,Italian,American,Fast,Food,Street,Food,Snacks,Beverages,Indian,Fast,Food,Beverages,Snacks,Street,Food,Indian,South,Indian,Snacks,Asian,Chinese,Thai,Desserts,,Haleem,,Home,Food,,Healthy,Food,,Fast,Food,,Sweets,,Beverages,Chaat,Snacks,Beverages,Chinese,Continental,Chinese,Desserts,Desserts,Ice,Cream,Healthy,Food,South,Indian,Indian,Chinese,Snacks,Indian,Thalis,Combo,Beverages,Biryani,Chinese,Indian,Bakery,Desserts,North,Indian,Indian,Chinese,Biryani,Chaat,Beverages,South,Indian,Chinese,Desserts,Chinese,Combo,Indian,Thalis,Beverages,North,Indian,Punjabi,North,Indian,Punjabi,Snacks,Continental,Italian,Pizzas,South,Indian,Beverages,Snacks,Indian,,North,Indian,,Tandoor,,Mughlai,,Desserts,Sweets,,Desserts,,Chaat,,Snacks,,Bakery,Arabian,Lebanese,Street,Food,Indian,Arabian,Biryani,Chinese,Combo,Pizzas,Pastas,Fast,Food,Street,Food,Snacks,Chinese,Snacks,,South,Indian,,Chaat,,Chinese,,Indian,,Tandoor,Fast,Food,South,Indian,North,Indian,Chinese,Beverages,Chaat,North,Indian,American,European,Asian,Bakery,Desserts,Snacks,Beverages,Ice,Cream,Desserts,Pizzas,Italian,Continental,American,Desserts,Italian,Pizzas,Pastas,Desserts,Beverages,Desserts,Bakery,Juices,Chaat,,Snacks,,Beverages,Biryani,Tandoor,Chinese,North,Indian,Desserts,Kebabs,Mughlai,North,Indian,Chinese,Combo,South,Indian,Indian,Chinese,Thalis,Biryani,Bengali,Snacks,Fast,Food,Asian,Chinese,Thai,Pan-Asian,Kebabs,Chinese,Tandoor,Grill,Pizzas,Chinese,Biryani,Kebabs,South,Indian,Beverages,North,Indian,Thalis,Punjabi,Combo,Street,Food,,South,Indian,Indian,Chinese,Tandoor,Chinese,Thai,Seafood,Asian,Combo,Healthy,Food,Beverages,Snacks,Chinese,Continental,Tandoor,Fast,Food,,Snacks,,Indian,,Beverages,Beverages,Continental,Italian,Desserts,Indian,Tandoor,Kebabs,Biryani,Chinese,Salads,Beverages,Chinese,Paan,,Sweets,,Fast,Food,Chinese,Beverages,Chinese,Mughlai,Fast,Food,Beverages,Desserts,Ice,Cream,Indian,Tandoor,Pastas,Asian,Desserts,Desserts,Bakery,Desserts,North,Indian,Biryani,Tandoor,Chinese,North,Indian,Mughlai,Biryani,Kebabs,Desserts,Indian,North,Indian,Awadhi,Mughlai,Kebabs,Biryani,Indian,Bengali,Kebabs,Snacks,Combo,Chinese,Italian,Snacks,Fast,Food,Indian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Combo,North,Indian,Indian,Snacks,Desserts,Fast,Food,Italian,Desserts,Chinese,Tandoor,Mediterranean,Kebabs,Oriental,Thai,Snacks,Chinese,Tandoor,Indian,Biryani,Pizzas,Fast,Food,Beverages,Fast,Food,Italian,Desserts,Italian,Fast,Food,Beverages,North,Indian,Biryani,Chinese,Tandoor,Indian,Fast,Food,Italian,Desserts,North,Indian,North,Indian,Mughlai,Chinese,Biryani,Grill,Barbecue,Seafood,Burmese,Indian,Indian,,Chinese,Biryani,Sweets,Snacks,Indian,Rajasthani,Continental,Chinese,Fast,Food,North,Indian,Healthy,Food,Healthy,Food,Mexican,Healthy,Food,Healthy,Food,Healthy,Food,South,Indian,Punjabi,Indian,Biryani,Indian,Oriental,Continental,North,Indian,Snacks,Chaat,Snacks,Continental,Thai,Italian,Asian,Indian,American,Fast,Food,,Combo,,Indian,Chinese,Biryani,North,Indian,Combo,North,Indian,Street,Food,Chinese,Tibetan,North,Eastern,Fast,Food,Pizzas,Fast,Food,Chinese,Asian,Biryani,Mughlai,North,Indian,Desserts,Beverages,Pan-Asian,Asian,Chinese,Japanese,Sushi,Thai,Seafood,Desserts,Chinese,Indian,Mughlai,Chinese,Snacks,Biryani,Mughlai,North,Indian,Desserts,Beverages,Biryani,North,Indian,Fast,Food,Beverages,Chinese,Indian,Snacks,Pizzas,Indian,Beverages,Indian,Hyderabadi,Combo,South,Indian,Biryani,Pizzas,Pastas,Healthy,Food,Continental,Indian,Fast,Food,Pizzas,North,Indian,Biryani,Hyderabadi,Lucknowi,Kebabs,Mughlai,North,Indian,Desserts,Beverages,North,Indian,South,Indian,Indian,Biryani,South,Indian,Fast,Food,Chinese,Biryani,Desserts,Grill,North,Indian,South,Indian,Continental,,Italian,,Chinese,Indian,Biryani,Mughlai,American,Italian,Indian,Bakery,Desserts,Snacks,Bakery,Desserts,Snacks,Indian,Indian,Gujarati,Thalis,Snacks,Arabian,Biryani,Chinese,Arabian,Indian,Italian,Continental,Pizzas,Salads,Pastas,Desserts,Bakery,,Desserts,,Fast,Food,Pan-Asian,Thai,Chinese,Mughlai,Snacks,Ice,Cream,Desserts,North,Indian,Chinese,,Indian,,Biryani,Continental,Biryani,Chinese,South,Indian,North,Indian,South,Indian,Indian,North,Indian,Fast,Food,Snacks,Italian,Chinese,Beverages,Cafe,Indian,Desserts,Chinese,Snacks,Chinese,Biryani,Combo,Kebabs,Tandoor,Indian,Mughlai,North,Indian,Chinese,Chinese,Continental,Pizzas,Pastas,Beverages,North,Indian,Punjabi,Gujarati,Fast,Food,Beverages,Biryani,Chinese,North,Indian,Fast,Food,Pizzas,Pizzas,Beverages,Thalis,Combo,North,Indian,Indian,Kebabs,Combo,Beverages,Beverages,Fast,Food,Salads,Snacks,Arabian,Biryani,,Indian,,Tandoor,,Punjabi,Snacks,Sweets,Chinese,North,Indian,Snacks,Biryani,Combo,Tandoor,Sweets,Snacks,Combo,Bakery,Desserts,Snacks,Fast,Food,Beverages,Pizzas,North,Indian,Chinese,Biryani,North,Indian,Tandoor,Biryani,Kebabs,Indian,North,Indian,Biryani,Combo,Snacks,Chinese,Indian,North,Indian,Italian,North,Indian,Biryani,Combo,Snacks,Chinese,Indian,Beverages,Chinese,,North,Indian,,Seafood,Biryani,Chinese,Indian,Chinese,Punjabi,Rajasthani,Punjabi,North,Indian,Indian,North,Indian,Chinese,Mughlai,Seafood,Indian,Indian,Thalis,Tandoor,Seafood,Chinese,Biryani,Desserts,,Bakery,North,Indian,Mughlai,Chinese,Barbecue,Grill,Seafood,Biryani,Chinese,Desserts,Fast,Food,Arabian,North,Indian,Biryani,Combo,Snacks,North,Indian,Biryani,Combo,Snacks,Indian,Snacks,Biryani,Pizzas,Pastas,Biryani,Indian,Biryani,Tandoor,North,Indian,Chinese,North,Indian,Fast,Food,Snacks,South,Indian,Beverages,North,Indian,Biryani,Chinese,Mughlai,Indian,Snacks,Combo,North,Indian,Home,Food,Indian,Beverages,Thalis,Combo,Arabian,Lebanese,North,Eastern,Kebabs,Mughlai,Fast,Food,Biryani,Desserts,Beverages,Indian,Combo,Ice,Cream,Desserts,Beverages,Arabian,Chinese,Tandoor,Grill,Combo,Beverages,Chinese,Fast,Food,Seafood,Fast,Food,Kebabs,Grill,Tandoor,American,Biryani,Tandoor,Mughlai,North,Indian,Combo,Indian,Indian,Chinese,Biryani,Tandoor,American,,Mexican,,Indian,,Fast,Food,,Snacks,,Combo,Juices,Salads,Chinese,Fast,Food,,Chinese,,Asian,,Thai,,Oriental,,Pan-Asian,,Seafood,,Combo,Fast,Food,Chaat,Snacks,Indian,Tandoor,Indian,Continental,Pizzas,North,Indian,Chinese,Mexican,Italian,Tandoor,Ice,Cream,Indian,Biryani,Chinese,Indian,Chinese,North,Indian,Fast,Food,Thalis,Ice,Cream,Mangalorean,North,Indian,Bengali,Oriya,Indian,North,Indian,Chinese,Biryani,Fast,Food,North,Indian,Tandoor,Chinese,South,Indian,Indian,Pizzas,Beverages,Desserts,Snacks,Pizzas,Beverages,Desserts,Snacks,Healthy,Food,Pizzas,North,Indian,Thalis,Biryani,Biryani,Mughlai,Kebabs,North,Indian,Desserts,Beverages,Combo,North,Indian,Indian,Fast,Food,Snacks,Chinese,North,Indian,Thalis,Combo,Indian,Chinese,Continental,Indian,Fast,Food,Bakery,Pizzas,Desserts,Ice,Cream,Healthy,Food,Keto,Desserts,Snacks,Beverages,Bakery,Biryani,Chinese,Indian,Combo,North,Indian,Desserts,Desserts,Desserts,Desserts,Desserts,Indian,Combo,Continental,Ice,Cream,Bakery,Beverages,North,Indian,Chinese,Italian,Combo,Bakery,Tandoor,Indian,Chinese,Biryani,Beverages,Chinese,Thalis,Snacks,Chinese,Pan-Asian,Tibetan,Chinese,Combo,Thalis,Indian,Combo,South,Indian,Biryani,Seafood,Fast,Food,Punjabi,Pizzas,Continental,Desserts,Snacks,Beverages,South,Indian,Beverages,Snacks,Combo,Healthy,Food,North,Indian,Chinese,Continental,Desserts,Beverages,Mughlai,Indian,Biryani,Chinese,Biryani,Chinese,Indian,Indian,Chinese,Chinese,Asian,Pan-Asian,Oriental,Thai,Tibetan,Burmese,Seafood,Desserts,Beverages,Chinese,,Tibetan,,Nepalese,,Pizzas,,Snacks,,Beverages,,Combo,Indian,Biryani,Chinese,Tandoor,North,Indian,Pizzas,Pastas,Chinese,Indian,Salads,Healthy,Food,Desserts,Beverages,Biryani,,North,Indian,Desserts,Bakery,Beverages,Juices,Continental,Japanese,Korean,Barbecue,Fast,Food,Chaat,Juices,Beverages,American,Continental,Fast,Food,Desserts,Beverages,American,Continental,Fast,Food,Desserts,Beverages,American,Continental,Fast,Food,Desserts,Beverages,American,Continental,Fast,Food,Desserts,Beverages,American,Continental,Fast,Food,Desserts,Beverages,American,Continental,Fast,Food,Desserts,Beverages,North,Indian,Tandoor,Chinese,Biryani,Kebabs,Mughlai,North,Indian,Fast,Food,American,Fast,Food,Snacks,North,Indian,Lucknowi,Biryani,Chinese,Indian,Biryani,Continental,Indian,Seafood,Asian,Chaat,Desserts,Chinese,Italian,Beverages,Pizzas,Snacks,North,Indian,Punjabi,Fast,Food,Indian,Beverages,Snacks,Healthy,Food,Chaat,Fast,Food,Maharashtrian,Beverages,North,Indian,Biryani,Chinese,,Indian,,Beverages,Chinese,Biryani,Tibetan,Punjabi,American,Desserts,Fast,Food,Mexican,Seafood,Indian,Chinese,Fast,Food,Indian,Snacks,Biryani,South,Indian,Continental,Chinese,Beverages,Indian,American,European,Healthy,Food,Italian,Indian,Biryani,Combo,Snacks,Beverages,Desserts,Indian,Biryani,Mughlai,Lucknowi,Hyderabadi,Kebabs,North,Indian,Persian,Desserts,Pizzas,Italian,Mexican,Pastas,Ice,Cream,Bakery,Desserts,Beverages,North,Indian,Chinese,Desserts,Biryani,North,Indian,Biryani,Chinese,Asian,Pastas,Desserts,Biryani,Hyderabadi,Lucknowi,North,Indian,Mughlai,Combo,Desserts,Beverages,Desserts,Tibetan,Fast,Food,Chinese,Asian,Snacks,Continental,Desserts,Beverages,Indian,Indian,Fast,Food,Japanese,Asian,Healthy,Food,Japanese,Asian,Healthy,Food,Healthy,Food,Salads,Keto,Chinese,,Continental,,Indian,,Beverages,Indian,Chinese,Combo,Beverages,Chinese,Chinese,North,Indian,Continental,Fast,Food,Beverages,Snacks,Biryani,Hyderabadi,Indian,North,Indian,Andhra,Biryani,Chinese,Biryani,Tandoor,Indian,Biryani,Asian,Tandoor,Grill,Barbecue,Chinese,Fast,Food,Fast,Food,Beverages,Indian,Desserts,Bakery,Fast,Food,,Snacks,Indian,Chinese,Mughlai,North,Indian,Desserts,,Beverages,Kebabs,Tandoor,Fast,Food,Hyderabadi,Biryani,Indian,Tandoor,Chinese,Indian,Chinese,North,Indian,Chinese,Tandoor,Jain,Snacks,North,Indian,Biryani,Fast,Food,Indian,American,Continental,Beverages,Desserts,South,Indian,Biryani,North,Indian,Chettinad,Biryani,Indian,Desserts,Desserts,Chinese,Arabian,Indian,Tandoor,Chinese,Tibetan,Bengali,Fast,Food,Combo,Thalis,Snacks,Desserts,Beverages,Ice,Cream,North,Indian,South,Indian,Chaat,Beverages,Biryani,Indian,Fast,Food,South,Indian,Indian,Fast,Food,Snacks,Kebabs,Bakery,Sweets,Desserts,Chinese,,Kerala,Pizzas,,Italian-American,Indian,Chinese,Pizzas,Indian,Chinese,Tandoor,Continental,Italian,American,Indian,Tandoor,Snacks,Sweets,North,Indian,South,Indian,,North,Indian,,Chinese,Indian,Snacks,Fast,Food,Chinese,Continental,Chinese,Indian,North,Indian,Salads,Beverages,Desserts,Indian,Pizzas,Italian,Desserts,Pastas,American,Continental,Beverages,Desserts,Indian,,Chinese,Ice,Cream,Desserts,Beverages,South,Indian,Biryani,Chinese,Indian,Pizzas,,Kebabs,,North,Indian,,Fast,Food,,Desserts,Fast,Food,Street,Food,Indian,,Chinese,,Kebabs,,Fast,Food,,Combo,Snacks,Fast,Food,Chinese,Pizzas,Chinese,,Asian,Bakery,,Desserts,,Ice,Cream,North,Indian,Maharashtrian,Beverages,Ice,Cream,Desserts,Chinese,Desserts,,Ice,Cream,Indian,Chinese,Chinese,South,Indian,Snacks,Combo,Beverages,Desserts,Chinese,Indian,Snacks,Street,Food,Fast,Food,Fast,Food,North,Indian,Mughlai,Indian,Biryani,Combo,Andhra,Beverages,Kebabs,Sweets,Hyderabadi,Tandoor,Chinese,Bakery,Fast,Food,Bengali,Indian,Chinese,Biryani,Chaat,Desserts,Beverages,Chinese,Indian,Biryani,Indian,Biryani,Indian,Chinese,Italian,Desserts,Pizzas,American,Snacks,Chinese,,North,Indian,,Fast,Food,,Snacks,,Beverages,Tibetan,Biryani,Desserts,Combo,Bakery,Fast,Food,,Snacks,,Beverages,,Combo,Chinese,Tandoor,Indian,Biryani,South,Indian,Punjabi,Gujarati,Thalis,North,Indian,Snacks,Fast,Food,Chinese,Biryani,Combo,Indian,Chinese,Barbecue,American,Pizzas,Fast,Food,Chinese,Healthy,Food,Continental,Italian,Mexican,Chinese,Indian,Indian,Chinese,South,Indian,Bakery,Desserts,Kerala,Biryani,Seafood,Beverages,Juices,Ice,Cream,Snacks,American,Arabian,Grill,Fast,Food,Snacks,Beverages,Bengali,Biryani,Hyderabadi,North,Indian,Indian,Biryani,Snacks,Fast,Food,Beverages,South,Indian,Indian,,Chinese,,Fast,Food,,American,,Biryani,,Combo,Desserts,Ice,Cream,Healthy,Food,Bakery,Desserts,Ice,Cream,Beverages,Ice,Cream,Desserts,Fast,Food,Bakery,Desserts,Ice,Cream,Beverages,Fast,Food,Pizzas,Beverages,Continental,American,Bakery,Beverages,Fast,Food,Ice,Cream,Desserts,Pizzas,Italian,Mexican,Desserts,Fast,Food,Snacks,Fast,Food,Indian,Chinese,North,Indian,Biryani,Combo,Snacks,North,Indian,Biryani,Combo,Snacks,North,Indian,Biryani,Combo,Snacks,Pizzas,Italian,Healthy,Food,North,Indian,Biryani,Combo,Snacks,North,Indian,Biryani,Combo,Snacks,Indian,North,Indian,Sweets,Sweets,Snacks,North,Indian,Fast,Food,Chinese,Mughlai,Bakery,Desserts,Ice,Cream,Beverages,Indian,Fast,Food,Snacks,Beverages,American,Continental,Beverages,Desserts,Fast,Food,North,Indian,Fast,Food,Chinese,Mughlai,North,Indian,Fast,Food,Chinese,Mughlai,North,Indian,South,Indian,Chinese,Beverages,Desserts,Chinese,Japanese,Sushi,Asian,Thai,Chinese,South,Indian,Punjabi,North,Indian,Chinese,Indian,Chinese,Tandoor,Chinese,North,Indian,Snacks,Pastas,Combo,Beverages,Asian,Continental,Italian,Pan-Asian,Indian,North,Indian,Fast,Food,Snacks,Snacks,Desserts,Juices,Beverages,Indian,Biryani,Sweets,Beverages,Tandoor,Fast,Food,Beverages,Ice,Cream,Chinese,,Snacks,Fast,Food,Pizzas,Beverages,Chinese,Arabian,Indian,Pizzas,Chinese,Beverages,Pizzas,Italian,Fast,Food,Desserts,Continental,Mediterranean,American,Mexican,Indian,Combo,Beverages,Bakery,French,Sweets,European,Lebanese,Snacks,North,Indian,Indian,Fast,Food,Indian,Beverages,Salads,Desserts,Indian,Tandoor,Biryani,North,Indian,Fast,Food,Mughlai,Snacks,Kebabs,Chinese,Seafood,Chinese,Indian,Biryani,Chinese,Indian,Chinese,Biryani,Indian,Indian,Fast,Food,Snacks,Fast,Food,Chinese,Chinese,,Tandoor,,Fast,Food,,Indian,Indian,Fast,Food,Beverages,American,,Fast,Food,,Beverages,North,Indian,Biryani,Combo,Snacks,North,Indian,Biryani,Combo,Snacks,Italian,Pizzas,Chinese,Combo,Snacks,Beverages,Indian,,Mughlai,,Chinese,,Biryani,,Punjabi,Italian,Snacks,Chinese,Fast,Food,Pastas,Chinese,Waffle,South,Indian,North,Indian,Chaat,Sweets,Ice,Cream,Snacks,Beverages,Ice,Cream,Indian,Punjabi,North,Indian,Combo,Thalis,Punjabi,North,Indian,Combo,Thalis,Punjabi,North,Indian,Combo,Thalis,Chinese,Indian,Chinese,Continental,Continental,Indian,Chinese,South,Indian,Chinese,Indian,North,Indian,Indian,Beverages,Snacks,South,Indian,Continental,North,Indian,Biryani,Punjabi,Chinese,Fast,Food,Chinese,Asian,Tibetan,Desserts,Mexican,Biryani,Thalis,Indian,Desserts,Beverages,Snacks,Pizzas,Pastas,Fast,Food,Pan-Asian,Chinese,Pizzas,Pastas,North,Indian,Continental,Pan-Asian,Oriental,Desserts,Bakery,Pizzas,Italian,Snacks,Desserts,Beverages,Indian,Biryani,Hyderabadi,Mughlai,Indian,,Fast,Food,,Beverages,Beverages,Fast,Food,Fast,Food,Healthy,Food,Healthy,Food,Bakery,,Desserts,North,Indian,Fast,Food,Biryani,Rayalaseema,Andhra,South,Indian,Chinese,Indian,North,Indian,Chinese,Indian,North,Indian,Chinese,Snacks,Beverages,Sweets,Chaat,Juices,Bakery,Beverages,Desserts,Indian,Thalis,Indian,Chinese,Mughlai,North,Indian,Chinese,Snacks,Seafood,Snacks,Grill,Pizzas,Street,Food,North,Indian,Desserts,Continental,Italian,Burmese,Indian,Biryani,North,Indian,Chinese,Salads,Indian,Chinese,Biryani,Indian,Combo,Beverages,Fast,Food,Snacks,Indian,Arabian,Beverages,Pizzas,Chinese,North,Indian,Chinese,Combo,Mughlai,Fast,Food,Lebanese,North,Indian,Continental,Pastas,North,Indian,Indian,Tandoor,Desserts,Indian,Punjabi,Fast,Food,North,Indian,Fast,Food,Chinese,Mughlai,North,Indian,Chinese,South,Indian,American,,Fast,Food,Chinese,Pan-Asian,Combo,Oriental,Middle,Eastern,Lebanese,Indian,Snacks,Indian,Bakery,Beverages,Pizzas,Indian,Snacks,Pastas,Fast,Food,Beverages,Indian,Chaat,Indian,Tandoor,Italian,Pizzas,Indian,Chinese,North,Indian,Mughlai,Arabian,Beverages,Chinese,Beverages,Ice,Cream,Italian,Pizzas,Pizzas,Chinese,Combo,Italian,Indian,Chinese,South,Indian,North,Indian,Fast,Food,American,Beverages,Italian,Pizzas,Continental,Beverages,Snacks,Snacks,Beverages,Chinese,Snacks,Chinese,Continental,Bakery,Desserts,American,Fast,Food,Beverages,Indian,Thalis,North,Indian,Bakery,Desserts,Arabian,North,Indian,Snacks,Salads,Italian-American,Beverages,Indian,Biryani,Combo,Fast,Food,Pizzas,Healthy,Food,Continental,Beverages,Snacks,Fast,Food,Indian,,South,Indian,,Chinese,,Arabian,Indian,Beverages,Healthy,Food,Juices,North,Indian,Fast,Food,Chinese,Chinese,Thai,Pizzas,North,Indian,Biryani,Mughlai,Chinese,Continental,Indian,Tandoor,Combo,Chinese,,Indian,,Pastas,Chinese,Indian,Chinese,Chinese,Punjabi,Tandoor,Pizzas,Lebanese,Chinese,Chinese,Chinese,Fast,Food,Indian,South,Indian,Chettinad,Beverages,American,Italian-American,Desserts,Bakery,Desserts,Indian,Tandoor,Indian,Chinese,Continental,Chinese,Indian,Biryani,Arabian,Biryani,Indian,Chinese,Fast,Food,Beverages,Chinese,European,Italian,North,Indian,Salads,Mughlai,North,Indian,Maharashtrian,Biryani,Kebabs,Tandoor,Beverages,Chinese,Combo,Chinese,Continental,North,Indian,Pan-Asian,Desserts,American,Asian,Beverages,Biryani,Chinese,Combo,European,Grill,Hyderabadi,Indian,Italian,Kebabs,Lucknowi,Mediterranean,Mexican,Mughlai,Oriental,Pastas,Punjab,Chinese,Tibetan,Fast,Food,Chinese,Asian,Snacks,Continental,Desserts,Beverages,Tibetan,Fast,Food,Healthy,Food,Asian,Chinese,Snacks,Continental,Desserts,Beverages,Tibetan,Fast,Food,Chinese,Asian,Snacks,Continental,Desserts,Beverages,Chinese,Biryani,Tandoor,Indian,Bengali,Indian,Chinese,Tandoor,Chinese,Beverages,North,Indian,Chinese,Mughlai,Desserts,Tandoor,Arabian,Beverages,Fast,Food,Pizzas,Chinese,Asian,Seafood,Chinese,Indian,Chinese,South,Indian,Arabian,Italian-American,Chinese,,Biryani,,Tandoor,Continental,Italian,Beverages,Pizzas,Pastas,Desserts,Mexican,Fast,Food,Indian,Chinese,Biryani,Fast,Food,Desserts,Ice,Cream,Desserts,Beverages,Chinese,Snacks,Indian,Pizzas,Beverages,Pizzas,Italian,Continental,American,Desserts,North,Indian,Biryani,Chinese,North,Indian,Indian,,Snacks,,Thalis,,Desserts,North,Indian,Beverages,Juices,Snacks,Beverages,Chinese,North,Indian,Chinese,Biryani,Indian,Kebabs,Continental,,Italian,,Desserts,North,Indian,North,Indian,Chinese,Indian,Chinese,Indian,Snacks,Chinese,Indian,Chinese,Indian,Biryani,Chinese,Continental,Pizzas,Indian,North,Indian,Snacks,Mexican,Desserts,Beverages,Snacks,Bengali,Fast,Food,Snacks,Beverages,Fast,Food,Italian,Pizzas,Pastas,Continental,Salads,Desserts,Beverages,Combo,Healthy,Food,Fast,Food,Snacks,Kebabs,Fast,Food,Indian,North,Indian,Sweets,Indian,Snacks,Desserts,North,Indian,Chinese,Indian,South,Indian,Snacks,Beverages,Home,Food,Indian,Healthy,Food,North,Indian,Snacks,Maharashtrian,Sweets,South,Indian,Combo,Desserts,Beverages,Kebabs,Biryani,Hyderabadi,Indian,Kebabs,North,Indian,South,Indian,Andhra,Afghani,Combo,Desserts,Beverages,Punjabi,Kerala,Sweets,Arabian,Lucknowi,Parsi,Tandoor,North,Indian,Punjabi,Home,Food,Indian,Snacks,Combo,Desserts,Beverages,South,Indian,Continental,Chettinad,Healthy,Food,Chinese,Sweets,Asian,North,Indian,Continental,Healthy,Food,Punjabi,Home,Food,Oriental,Desserts,Beverages,Pan-Asian,Bengali,Mangalorean,Kashmiri,Lucknowi,Chinese,Sweets,Kebabs,Combo,Rajasthani,Awadhi,Pizzas,Italian,Fast,Food,Desserts,Continental,Mediterranean,American,Mexican,Indian,Combo,Beverages,Bakery,French,Sweets,European,Lebanese,Snacks,Indian,Chaat,Sweets,North,Indian,Beverages,Desserts,Healthy,Food,Ice,Cream,Snacks,Fast,Food,Tibetan,North,Indian,Snacks,,Beverages,South,Indian,Chinese,Beverages,Beverages,Snacks,Fast,Food,Mexican,Salads,Combo,Snacks,Healthy,Food,Mexican,Salads,Combo,Snacks,Healthy,Food,Chinese,Asian,European,Indian,Chinese,South,Indian,Biryani,Juices,Beverages,Ice,Cream,Chinese,South,Indian,Indian,Beverages,Ice,Cream,Chinese,Continental,South,Indian,North,Indian,Healthy,Food,Snacks,North,Indian,,South,Indian,,Fast,Food,,Snacks,,Thalis,,Combo,Ice,Cream,Desserts,Bakery,Continental,Italian,Fast,Food,,Bakery,,Desserts,,Beverages,Bakery,Chinese,Indian,Combo,Arabian,Snacks,American,Continental,Beverages,Desserts,Chinese,Tibetan,Bakery,Desserts,Chinese,Combo,Tandoor,North,Indian,Snacks,Punjabi,Healthy,Food,,Indian,,Keto,,Snacks,,Bakery,,North,Indian,Desserts,,Beverages,Bakery,Bakery,Desserts,North,Indian,Biryani,Chinese,Mughlai,Seafood,Snacks,Beverages,Ice,Cream,Desserts,Continental,Italian,Fast,Food,Chinese,North,Indian,Mexican,Pizzas,Pastas,Fast,Food,Beverages,Turkish,Bakery,Desserts,Ice,Cream,American,Desserts,Pizzas,Salads,Combo,Italian,Mexican,Desserts,Beverages,Pastas,Thalis,Combo,Beverages,Pizzas,Indian,Andhra,Healthy,Food,Indian,Bakery,Snacks,North,Indian,Keto,Beverages,Desserts,Fast,Food,Snacks,Ice,Cream,Juices,Fast,Food,Indian,Asian,Snacks,,Desserts,,Beverages,,Pastas,Indian,Bakery,Snacks,Indian,Italian,Indian,Oriental,Fast,Food,Fast,Food,Italian,Chinese,Beverages,Beverages,Snacks,Fast,Food,Indian,Chinese,Italian,Thalis,Snacks,Indian,Combo,Pan-Asian,Oriental,Chinese,Indian,Persian,Chinese,Tandoor,Indian,Desserts,Snacks,Beverages,Healthy,Food,Asian,Chinese,Indian,Chinese,Tandoor,South,Indian,Asian,Chinese,Fast,Food,Combo,Chinese,Indian,Fast,Food,Continental,Oriental,North,Indian,Coastal,,Indian,,Seafood,North,Indian,Thalis,Indian,Pizzas,Juices,Fast,Food,Beverages,Fast,Food,Pizzas,Pizzas,Fast,Food,Chaat,Snacks,Biryani,Indian,Indian,Mughlai,Biryani,Tandoor,Kebabs,Bakery,,Desserts,Indian,Chinese,Mughlai,Seafood,Chinese,,North,Indian,,Seafood,,Pan-Asian,Healthy,Food,Mexican,Lebanese,Desserts,Grill,Chinese,South,Indian,Chinese,Seafood,Indian,Fast,Food,Arabian,Ice,Cream,Beverages,Desserts,Indian,Chinese,Fast,Food,Lebanese,Continental,Healthy,Food,Continental,Pizzas,Beverages,Fast,Food,Indian,European,Snacks,Fast,Food,North,Indian,Fast,Food,Snacks,Snacks,Beverages,Fast,Food,Pizzas,American,Indian,Pan-Asian,Chinese,Kebabs,Fast,Food,Snacks,Chaat,Juices,Beverages,Chinese,,Indian,Bakery,,Desserts,,Snacks,Healthy,Food,Salads,Juices,Continental,Indian,Pizzas,Pastas,American,Fast,Food,Pan-Asian,Chinese,North,Indian,Chinese,Beverages,Desserts,Beverages,Desserts,Pizzas,Pastas,Snacks,Kebabs,North,Indian,Biryani,Fast,Food,Beverages,Asian,Thai,Chinese,Bengali,Indian,Indian,North,Indian,Chinese,Desserts,Beverages,Fast,Food,Seafood,Indian,Desserts,Bakery,Snacks,Continental,American,Desserts,Fast,Food,Mexican,Beverages,Punjabi,Arabian,Pizzas,Fast,Food,Pizzas,Pastas,Desserts,Italian,Biryani,Indian,Snacks,Beverages,South,Indian,Indian,Biryani,Fast,Food,Ice,Cream,Desserts,Indian,Fast,Food,Snacks,Beverages,Indian,Chinese,Snacks,South,Indian,Fast,Food,Bakery,,Beverages,Biryani,Biryani,Chinese,Thai,Asian,Fast,Food,Indian,Pizzas,Indian,Desserts,Snacks,North,Indian,Chinese,Tandoor,Biryani,Fast,Food,Desserts,Combo,Beverages,Beverages,Desserts,Indian,Indian,Chinese,Chinese,Thai,Chinese,Asian,Beverages,Chinese,Asian,Beverages,Afghani,Mughlai,Fast,Food,Juices,Chaat,Desserts,Beverages,Indian,Biryani,Fast,Food,Biryani,North,Indian,American,,Snacks,Indian,Chinese,Combo,Mangalorean,Ice,Cream,Snacks,Continental,,Indian,,Desserts,Continental,Beverages,Continental,Italian,Chinese,Indian,Desserts,Chaat,Snacks,Indian,American,North,Indian,Chinese,Indian,Chinese,Biryani,Continental,Indian,Street,Food,Kebabs,Lebanese,Fast,Food,Pizzas,Indian,Italian,Ice,Cream,Desserts,Indian,Sweets,Street,Food,Chinese,Seafood,Pizzas,Pizzas,Fast,Food,Snacks,Beverages,Fast,Food,Salads,Snacks,Desserts,North,Indian,Pizzas,Italian,Mexican,South,Indian,Biryani,Bakery,Fast,Food,Beverages,Fast,Food,Continental,Beverages,Ice,Cream,Indian,Snacks,Lebanese,,Middle,Eastern,,Healthy,Food,,Mediterranean,,Arabian,Chinese,,Fast,Food,Chinese,,Fast,Food,American,Beverages,Pastas,Pizzas,Snacks,,Indian,South,Indian,Fast,Food,Beverages,Fast,Food,Snacks,Beverages,North,Indian,Chinese,Italian,,Pizzas,North,Indian,Mughlai,Chinese,Biryani,Beverages,Snacks,Rajasthani,Biryani,Continental,Fast,Food,Snacks,Mangalorean,Seafood,Chinese,Coastal,North,Indian,Desserts,Fast,Food,Indian,Kebabs,South,Indian,North,Indian,Fast,Food,Chinese,Indian,Chinese,North,Indian,Beverages,Chinese,North,Indian,Maharashtrian,Beverages,Indian,Healthy,Food,Keto,Desserts,Ice,Cream,Snacks,Beverages,Bakery,Desserts,Bakery,Pizzas,Pastas,Fast,Food,Beverages,Lebanese,North,Indian,Indian,Bakery,Pizzas,Pastas,Snacks,Indian,Chinese,Fast,Food,Juices,North,Indian,Mughlai,Biryani,Desserts,Indian,Kebabs,Combo,Fast,Food,Asian,Snacks,Chinese,Asian,Japanese,Korean,Malaysian,Thai,Vietnamese,Chinese,North,Indian,Desserts,Beverages,Healthy,Food,,South,Indian,Beverages,Fast,Food,Desserts,Chinese,Arabian,Continental,Snacks,Chinese,Indian,Biryani,Seafood,Fast,Food,Chaat,North,Indian,,Chinese,,Bengali,Biryani,South,Indian,Pizzas,Chinese,,North,Indian,Beverages,Biryani,Chinese,Mughlai,Chinese,Asian,Thai,Biryani,Andhra,Chinese,Ice,Cream,Snacks,Fast,Food,Beverages,South,Indian,Fast,Food,Beverages,Continental,Italian,Indian,Chinese,Indian,Mughlai,Tandoor,Chinese,Chinese,Indian,Tandoor,Indian,,Continental,,Beverages,,Fast,Food,South,Indian,Biryani,Sweets,Snacks,Indian,Pizzas,Seafood,Chinese,Biryani,Chinese,Indian,Beverages,Snacks,Desserts,Pizzas,Continental,Italian,Chinese,North,Indian,Beverages,Bakery,Seafood,Indian,Seafood,Oriental,Chinese,Thai,Asian,Chinese,Seafood,Continental,North,Indian,Biryani,Chinese,Indian,Tandoor,Indian,Continental,Chinese,Italian,Chinese,Biryani,Italian,Continental,Desserts,Pizzas,American,Mexican,Chinese,Snacks,Chinese,Biryani,Combo,Chinese,Continental,Beverages,Snacks,North,Indian,Chinese,Fast,Food,Desserts,Desserts,Bakery,Italian,Pizzas,Pastas,Chinese,Pizzas,Italian,Arabian,Fast,Food,Beverages,Chinese,,North,Indian,,Biryani,,Sweets,North,Indian,Chinese,Snacks,North,Indian,Indian,Biryani,Punjabi,Kebabs,Mughlai,Desserts,Biryani,Andhra,Chettinad,South,Indian,Hyderabadi,Kebabs,Combo,Continental,Snacks,South,Indian,Ice,Cream,Ice,Cream,Desserts,Fast,Food,Continental,Biryani,North,Indian,Chinese,Beverages,Chinese,Italian,Pizzas,Pastas,Indian,Desserts,,Ice,Cream,Chinese,Fast,Food,Pizzas,Pastas,Snacks,North,Indian,Chinese,American,Continental,Italian,Fast,Food,Hyderabadi,Andhra,Continental,Chinese,Desserts,Chinese,North,Indian,Beverages,North,Indian,Desserts,Healthy,Food,,Keto,,Desserts,,Ice,Cream,,Beverages,,Snacks,,Bakery,Indian,Punjabi,Tandoor,Italian,Pizzas,Pastas,Mexican,American,Desserts,Bakery,Beverages,Chinese,Beverages,Snacks,Chinese,,Indian,Chinese,Snacks,Fast,Food,Pizzas,Snacks,Bengali,Indian,South,Indian,,Indian,,Chinese,,Combo,Indian,Chinese,Continental,Indian,Indian,Asian,,Chinese,Desserts,,Bakery,Biryani,Fast,Food,Barbecue,Continental,Italian,Bakery,Pan-Asian,Oriental,Indian,Seafood,Italian,Pizzas,Pastas,Indian,Indian,Fast,Food,Street,Food,Mexican,Fast,Food,Indian,Snacks,Fast,Food,Beverages,Juices,Salads,Desserts,North,Indian,Chinese,Biryani,Desserts,Punjabi,Mangalorean,Seafood,Mughlai,Thai,Indian,Chinese,,North,Indian,,Tandoor,,Biryani,,Beverages,,Desserts,Beverages,Fast,Food,Juices,Pizzas,Indian,Chinese,Combo,Fast,Food,Ice,Cream,Ice,Cream,Desserts,Bakery,South,Indian,Biryani,Beverages,Fast,Food,Indian,,Chinese,South,Indian,Biryani,Combo,Thalis,Tandoor,Ice,Cream,Juices,Beverages,Ice,Cream,Lebanese,Kebabs,Fast,Food,Beverages,Pizzas,Desserts,,Snacks,South,Indian,Indian,Pizzas,Italian,Fast,Food,Desserts,Continental,Mediterranean,American,Mexican,Indian,Combo,Beverages,Bakery,French,Sweets,European,Lebanese,Snacks,North,Indian,,Chinese,,Italian,,Continental,Indian,Sweets,Snacks,Indian,Bakery,Desserts,South,Indian,Chinese,Fast,Food,Tandoor,Thai,African,Barbecue,North,Indian,Tandoor,Biryani,Chinese,Desserts,Beverages,Italian,Chinese,Tandoor,North,Indian,Biryani,Hyderabadi,Andhra,North,Indian,South,Indian,Tandoor,Chinese,Seafood,North,Indian,Chinese,Biryani,Indian,,Chinese,Biryani,Indian,Biryani,North,Indian,Chinese,Thalis,Fast,Food,,Beverages,American,Continental,Beverages,Desserts,Fast,Food,Bakery,Ice,Cream,Desserts,Beverages,American,Fast,Food,Arabian,Snacks,Indian,Biryani,Combo,Chinese,Indian,Chinese,Indian,Chinese,Italian,,Beverages,Hyderabadi,South,Indian,North,Indian,Biryani,Andhra,Mughlai,Indian,Chinese,Kebabs,North,Indian,Indian,,Biryani,Chinese,Fast,Food,Fast,Food,Pizzas,Combo,Beverages,Pizzas,Pizzas,Beverages,Fast,Food,Pizzas,South,Indian,North,Indian,Desserts,Chinese,North,Indian,Home,Food,Indian,Beverages,Thalis,Combo,Fast,Food,Italian,Beverages,Juices,North,Indian,Chinese,Chaat,Sweets,Fast,Food,Snacks,Desserts,Beverages,Bakery,Beverages,Biryani,North,Indian,Beverages,Combo,Desserts,Indian,North,Indian,North,Indian,South,Indian,Indian,Indian,Chinese,Combo,Chinese,Asian,Thai,Paan,,Indian,Pizzas,Fast,Food,Biryani,Hyderabadi,Mughlai,Italian,Beverages,Pizzas,Snacks,Pizzas,Fast,Food,Chinese,North,Indian,,Biryani,,Chinese,,Desserts,Biryani,North,Indian,Beverages,Desserts,Chinese,Bengali,Indian,Continental,Italian,Oriental,Desserts,Ice,Cream,Beverages,Indian,Biryani,Chinese,Chinese,Tandoor,Grill,Indian,Pizzas,Fast,Food,Indian,Asian,Italian,Fast,Food,Seafood,Chinese,Chinese,Indian,Combo,Thalis,Desserts,Bakery,Bakery,Desserts,Continental,Italian,Chinese,Beverages,Snacks,Desserts,Bakery,Desserts,Pizzas,Fast,Food,Fast,Food,Snacks,Thalis,Beverages,Indian,Healthy,Food,Keto,Beverages,Snacks,Ice,Cream,Pizzas,Italian,Thalis,North,Indian,Biryani,Punjabi,Healthy,Food,Beverages,Fast,Food,Fast,Food,Chinese,Fast,Food,Snacks,Desserts,Beverages,Asian,Tibetan,Indian,Pizzas,,Bakery,North,Indian,Biryani,Tandoor,Beverages,Biryani,Home,Food,North,Indian,Beverages,Indian,Combo,Chinese,Thalis,North,Indian,Snacks,Chinese,Bakery,Arabian,Healthy,Food,Keto,Desserts,Ice,Cream,Snacks,Beverages,Bakery,Hyderabadi,South,Indian,North,Indian,Biryani,Andhra,Mughlai,Arabian,Chinese,Fast,Food,Beverages,Mughlai,American,Snacks,Hyderabadi,South,Indian,North,Indian,Biryani,Andhra,Mughlai,Thalis,Combo,North,Indian,Pizzas,Beverages,Andhra,Biryani,South,Indian,North,Indian,,Chinese,,Tandoor,Biryani,Andhra,Tandoor,Grill,Chinese,Fast,Food,North,Indian,Punjabi,Indian,Home,Food,Combo,Beverages,North,Indian,,Punjabi,,Indian,,Home,Food,,Combo,,Beverages,Indian,Oriental,Indian,Snacks,Fast,Food,Combo,Chinese,Seafood,Coastal,Desserts,Indian,,Chinese,,Ice,Cream,Chaat,Ice,Cream,Snacks,Beverages,American,Snacks,South,Indian,North,Indian,Pizzas,,Italian,,Pastas,,Salads,Indian,Chinese,Continental,Indian,Chinese,Seafood,Pizzas,Bengali,North,Indian,Snacks,,Indian,Healthy,Food,Keto,Beverages,Ice,Cream,Desserts,Bakery,Chinese,Thai,Asian,North,Indian,Chinese,Tandoor,Punjabi,North,Indian,Tandoor,Punjabi,Beverages,Desserts,Mughlai,Italian,Pizzas,Bakery,North,Indian,,Seafood,,Chinese,Italian,,Pizzas,,Pastas,,Desserts,,Beverages,Chinese,Snacks,Continental,Snacks,Chaat,South,Indian,Fast,Food,North,Indian,Beverages,South,Indian,Biryani,North,Indian,Indian,Chinese,Indian,Indian,Chinese,Italian,Beverages,Fast,Food,Chinese,Biryani,Combo,Indian,Chinese,Biryani,Combo,Chinese,Fast,Food,Thalis,Biryani,Indian,Seafood,North,Indian,Indian,Indian,Chinese,Tandoor,South,Indian,North,Indian,Biryani,Pizzas,Indian,Snacks,Chinese,,Fast,Food,,Pizzas,,Snacks,Indian,Desserts,Ice,Cream,Biryani,Indian,Snacks,North,Indian,Kebabs,Tandoor,South,Indian,South,Indian,South,Indian,Pizzas,Italian,Desserts,Snacks,Sweets,Chinese,North,Indian,Indian,Tandoor,South,Indian,Chinese,Indian,Continental,Beverages,Fast,Food,Snacks,Chinese,,Indian,,Asian,,Biryani,,Snacks,,Beverages,,Desserts,Asian,Continental,Italian,Desserts,Pizzas,,Pastas,,Beverages,North,Indian,Chinese,Biryani,Snacks,Fast,Food,Indian,Seafood,Biryani,,Beverages,Bakery,Beverages,Chaat,Desserts,Fast,Food,Home,Food,Italian,Maharashtrian,Snacks,Street,Food,Sweets,Italian,Pizzas,Fast,Food,Arabian,Lebanese,Biryani,Beverages,Combo,Snacks,Chinese,Bengali,Indian,Indian,Kebabs,Biryani,Beverages,Fast,Food,Pizzas,Beverages,Beverages,,Ice,Cream,,Fast,Food,Ice,Cream,Chinese,North,Indian,Punjabi,North,Indian,,Chinese,,Indian,Fast,Food,Pizzas,Snacks,Mughlai,Chinese,Tandoor,Beverages,,Ice,Cream,,Desserts,Pastas,Snacks,Salads,Juices,Sweets,Bakery,Beverages,Continental,Italian,Chinese,Indian,Biryani,Snacks,Beverages,Fast,Food,Combo,Juices,Seafood,Biryani,Combo,Indian,Desserts,North,Indian,Thalis,Tandoor,Desserts,Indian,Chinese,Biryani,Beverages,Pizzas,,Salads,,Pastas,,Italian,,Healthy,Food,Pizzas,Pastas,Chinese,Snacks,Desserts,Beverages,Bakery,,Pizzas,,Fast,Food,,Beverages,South,Indian,Beverages,Indian,Bakery,Snacks,Desserts,Beverages,Snacks,Beverages,South,Indian,Chinese,Indian,Seafood,Biryani,Beverages,Desserts,Snacks,Fast,Food,Bakery,Indian,Tandoor,Mughlai,Seafood,North,Indian,Biryani,North,Indian,Indian,Chinese,Tandoor,North,Indian,Indian,Chinese,Tandoor,Fast,Food,Salads,Desserts,Indian,Chinese,Fast,Food,Italian,Indian,Chinese,Salads,Punjabi,,Tandoor,,Chinese,,Thai,,Mughlai,Chinese,,Thai,Indian,,Chinese,,Tandoor,,Seafood,Chinese,,Fast,Food,,North,Indian,Tandoor,,Mughlai,,Indian,,Biryani,,North,Indian,Biryani,Chinese,Seafood,Biryani,North,Indian,Fast,Food,Snacks,Chinese,Snacks,Chinese,Snacks,Bakery,Pizzas,Fast,Food,,Desserts,Snacks,Fast,Food,Chinese,Continental,Indian,Biryani,Italian,Desserts,Chinese,Indian,Lebanese,Snacks,Beverages,Desserts,Indian,Chinese,Arabian,Beverages,Beverages,Indian,Lebanese,Fast,Food,Pizzas,North,Indian,,South,Indian,,Healthy,Food,,Juices,Fast,Food,Kebabs,North,Indian,Chinese,Fast,Food,Asian,Chinese,Japanese,Chinese,Thai,Asian,Indian,North,Indian,Fast,Food,Fast,Food,Beverages,Beverages,Pizzas,Fast,Food,Pastas,Snacks,Italian,Desserts,North,Indian,Indian,Chinese,Fast,Food,Pizzas,Beverages,Pastas,Arabian,Continental,Ice,Cream,Chinese,Indian,Fast,Food,Salads,Beverages,Chinese,Biryani,Chinese,Desserts,Chinese,Indian,Ice,Cream,Desserts,Keto,Indian,Beverages,Desserts,Snacks,Beverages,Chinese,Pastas,Biryani,North,Indian,Chinese,Indian,Arabian,Healthy,Food,,Continental,,Indian,,Chinese,Fast,Food,Seafood,Indian,Combo,Arabian,Snacks,Fast,Food,Indian,Seafood,Biryani,Biryani,,Beverages,Street,Food,Fast,Food,Chinese,Desserts,Snacks,Indian,Biryani,Kebabs,Combo,North,Indian,Biryani,Juices,Chinese,Biryani,Kebabs,Lucknowi,Hyderabadi,Biryani,Desserts,Biryani,Mughlai,South,Indian,Fast,Food,,Snacks,,Beverages,Chinese,Tibetan,Indian,Seafood,Beverages,Pan-Asian,Thai,Chinese,Indian,Biryani,Kebabs,Indian,Biryani,Chinese,Indian,Snacks,Arabian,Combo,Chinese,Arabian,Kebabs,Biryani,Chinese,South,Indian,North,Indian,Beverages,Sweets,Chinese,Beverages,Ice,Cream,Italian,Desserts,Chinese,Indian,Continental,Biryani,Pizzas,Biryani,Chinese,Indian,Chinese,Beverages,Fast,Food,North,Indian,Fast,Food,Pizzas,American,Pizzas,Fast,Food,North,Indian,Indian,Beverages,Salads,Chinese,,Fast,Food,Chinese,Indian,Ice,Cream,Beverages,Biryani,Arabian,North,Indian,Chinese,Seafood,Ice,Cream,South,Indian,Kebabs,Combo,Pizzas,Fast,Food,Beverages,North,Indian,Punjabi,Biryani,Chinese,Desserts,Continental,Snacks,Indian,Tandoor,Biryani,Biryani,Indian,Indian,Chinese,Beverages,Snacks,Desserts,South,Indian,Indian,Seafood,Chinese,Biryani,South,Indian,Kebabs,Combo,Beverages,Desserts,Biryani,Indian,Chinese,Beverages,North,Indian,Tandoor,Punjabi,Beverages,Desserts,Mughlai,Indian,,Chinese,Healthy,Food,Pizzas,North,Indian,Thalis,Biryani,Italian,Bakery,Italian,,Beverages,North,Indian,Tandoor,Biryani,Paan,Bakery,Desserts,Chettinad,South,Indian,Indian,North,Indian,Biryani,North,Indian,,Chinese,,Tandoor,,Sweets,,Beverages,North,Indian,Punjabi,Chinese,Seafood,Continental,Chinese,Chinese,North,Indian,Tandoor,Combo,Biryani,Beverages,Fast,Food,Chinese,Beverages,Bakery,,Snacks,Chinese,Indian,Mughlai,American,Italian,Bakery,Indian,Biryani,Kebabs,Chinese,Chinese,Combo,Fast,Food,North,Indian,Tandoor,Biryani,Chinese,Chinese,Fast,Food,Italian,Ice,Cream,Street,Food,Beverages,Fast,Food,Thai,Biryani,Combo,Beverages,Chinese,Indian,Chinese,Beverages,Fast,Food,North,Indian,Snacks,Beverages,Indian,Fast,Food,Fast,Food,Chinese,South,Indian,Beverages,Indian,Bakery,Desserts,Bakery,Indian,Desserts,Fast,Food,Snacks,Beverages,Desserts,Desserts,Desserts,,Ice,Cream,,Beverages,Desserts,,Bakery,Beverages,Thai,Chinese,Arabian,Continental,Italian,Grill,Thai,Biryani,Indian,Mughlai,Chinese,South,Indian,Biryani,Street,Food,Italian,Ice,Cream,Fast,Food,Continental,Desserts,Indian,North,Indian,Chinese,Seafood,Biryani,Tandoor,Ice,Cream,Italian,Healthy,Food,Salads,Pizzas,Pizzas,Italian,Fast,Food,Beverages,Desserts,Ice,Cream,Healthy,Food,Chinese,Fast,Food,Italian,Pizzas,Snacks,Beverages,Continental,Salads,Pizzas,Pastas,Italian-American,American,Continental,Fast,Food,Combo,North,Indian,Tandoor,Punjabi,Beverages,Desserts,Mughlai,Street,Food,Fast,Food,Continental,Desserts,Chinese,Chinese,Asian,Beverages,Indian,Desserts,Biryani,Snacks,Beverages,North,Indian,Chinese,Tandoor,Indian,Bakery,Desserts,Bakery,Desserts,Indian,,Chinese,Fast,Food,Indian,Bakery,,Desserts,,Snacks,Bakery,North,Indian,Indian,Street,Food,Biryani,Kebabs,North,Indian,North,Indian,Arabian,Snacks,Biryani,Italian,Italian,Ice,Cream,Beverages,Fast,Food,Continental,Indian,Chinese,Tandoor,Seafood,Ice,Cream,Desserts,Beverages,Chinese,Bakery,Beverages,Indian,South,Indian,North,Indian,Biryani,North,Indian,Fast,Food,Chinese,Bakery,Continental,Pizzas,Juices,Beverages,Indian,Chinese,Pizzas,Pastas,Chinese,Indian,Chinese,Healthy,Food,Pizzas,North,Indian,Thalis,Biryani,Healthy,Food,,Pizzas,,North,Indian,,Thalis,,Biryani,North,Indian,Chinese,Kebabs,Street,Food,Chaat,Chinese,Indian,Lebanese,Biryani,Chinese,Kebabs,Chinese,Beverages,Hyderabadi,Biryani,Chinese,Indian,Chinese,South,Indian,Fast,Food,Arabian,Fast,Food,Indian,Chinese,Kebabs,Tandoor,Biryani,Snacks,Beverages,Desserts,Arabian,Fast,Food,Biryani,Mughlai,Fast,Food,Desserts,Beverages,Pizzas,Beverages,Chinese,Snacks,Ice,Cream,,Desserts,,Bakery,North,Indian,Punjabi,Biryani,Indian,Chinese,Bengali,Oriental,Seafood,Beverages,Combo,Desserts,Bakery,Ice,Cream,Coastal,Goan,Indian,Ind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ast,Food,Lebanese,Salads,Raw,meats,Lebanese,Biryani,Beverages,Ice,Cream,Sweets,Fast,Food,Beverages,Snacks,Chinese,Ice,Cream,Combo,Chinese,Chinese,Juices,Chinese,Pizzas,Fast,Food,Beverages,Gujarati,Chinese,North,Indian,Healthy,Food,Indian,Bakery,Desserts,Rajasthani,Gujarati,Indian,Punjabi,Snacks,Beverages,Chinese,Thai,Asian,Chinese,Indian,Biryani,Indian,Combo,Desserts,North,Indian,Biryani,Pizzas,Italian,Beverages,Bakery,,Snacks,Arabian,Tandoor,Grill,Pan-Asian,Beverages,Chinese,Beverages,Chinese,South,Indian,Indian,Desserts,Indian,Biryani,Bakery,Snacks,Chinese,Indian,Biryani,Indian,Chinese,Beverages,North,Indian,Chinese,Beverages,Fast,Food,Italian,Chinese,South,Indian,Tandoor,Indian,Arabian,Biryani,Chinese,South,Indian,Fast,Food,Beverages,,Fast,Food,,Mexican,,Indian,,Snacks,Lebanese,Kebabs,Salads,Healthy,Food,North,Indian,Biryani,Tandoor,Kebabs,Indian,Combo,Beverages,North,Indian,Indian,,Chinese,,Combo,North,Indian,Indian,Desserts,Ice,Cream,South,Indian,Snacks,Biryani,Chinese,Hyderabadi,Pizzas,Fast,Food,Beverages,Chinese,Indian,Chinese,Snacks,Biryani,Pizzas,,North,Indian,,Fast,Food,Chinese,Indian,Fast,Food,Beverages,Bakery,,Fast,Food,,Snacks,Bakery,,Fast,Food,North,Indian,Indian,Chinese,Combo,North,Indian,Chinese,Desserts,Ice,Cream,Beverages,Chinese,Chinese,North,Indian,Chinese,Fast,Food,Chinese,Combo,Indian,Beverages,Continental,Mexican,Chinese,Indian,Biryani,Chinese,Indian,Punjabi,Beverages,Snacks,Punjabi,Indian,Indian,Chinese,Combo,Beverages,Bakery,Chinese,,North,Indian,,Fast,Food,,Beverages,Street,Food,Indian,Beverages,Fast,Food,Ice,Cream,Pizzas,Desserts,Chinese,Continental,Fast,Food,Bakery,,Fast,Food,,Snacks,Indian,Chinese,Desserts,Snacks,,Mexican,,Pizzas,,Italian,Indian,Chinese,Arabian,Fast,Food,North,Indian,Combo,Kebabs,Biryani,Punjabi,Thalis,Indian,Tandoor,Fast,Food,Snacks,Fast,Food,Chinese,Indian,Arabian,Chinese,Snacks,Indian,Chinese,Chinese,North,Indian,Tandoor,Biryani,Chinese,Beverages,Biryani,Chinese,Beverages,Biryani,Chinese,Beverages,Biryani,Chinese,Beverages,Biryani,Chinese,Beverages,Snacks,Beverages,Fast,Food,,Beverages,Chinese,Beverages,Pizzas,Fast,Food,Chinese,Pastas,Biryani,Beverages,Desserts,Bakery,Street,Food,Fast,Food,Snacks,Beverages,Street,Food,Pizzas,South,Indian,Seafood,Biryani,Beverages,Indian,Biryani,Pizzas,Fast,Food,Beverages,North,Indian,Chinese,Thalis,Chinese,Grill,Tandoor,North,Indian,Fast,Food,Biryani,North,Indian,Chinese,Seafood,Snacks,Pizzas,Beverages,Sweets,Beverages,Chaat,Chinese,Indian,Biryani,Arabian,Desserts,Chinese,Chinese,Chinese,North,Indian,Fast,Food,Snacks,Beverages,Pastas,Goan,,Seafood,Beverages,Snacks,Indian,Fast,Food,Indian,,Snacks,,Fast,Food,,South,Indian,,Sweets,,Beverages,Indian,Chinese,Biryani,Snacks,Fast,Food,Indian,Chinese,Desserts,Healthy,Food,Mexican,Pastas,Pizzas,Beverages,Chinese,North,Indian,Pastas,Snacks,Mughlai,Turkish,Biryani,Indian,Chinese,Combo,Indian,Fast,Food,Beverages,Chinese,North,Indian,Fast,Food,Biryani,Chinese,Beverages,North,Indian,Biryani,Snacks,Chinese,Indian,Maharashtrian,Seafood,Street,Food,Indian,Chinese,Beverages,Juices,Fast,Food,Chinese,Snacks,Chinese,Arabian,Mughlai,Desserts,Ice,Cream,Healthy,Food,Chinese,Beverages,Chinese,Bakery,North,Indian,Chinese,Pizzas,Desserts,Indian,North,Indian,Chinese,Fast,Food,Tandoor,Ice,Cream,Beverages,Juices,Pizzas,American,Snacks,North,Indian,Beverages,Juices,Snacks,Fast,Food,Chinese,Indian,North,Indian,Biryani,Seafood,Indian,Bakery,Desserts,North,Indian,Chinese,Biryani,Chinese,Indian,North,Indian,Seafood,Biryani,Chinese,North,Indian,Biryani,Chinese,Snacks,Indian,Pizzas,Ice,Cream,Desserts,Bakery,Desserts,Indian,,Chinese,Chinese,Indian,Biryani,Pizzas,,Chinese,,Pastas,,Beverages,North,Indian,Malwani,Desserts,Chinese,Indian,Chinese,Chinese,Combo,Snacks,North,Indian,Chinese,Thalis,Biryani,Tandoor,Indian,Biryani,North,Indian,North,Indian,Thalis,Combo,Street,Food,Continental,Combo,Indian,Mexican,Desserts,Beverages,Bakery,South,Indian,,North,Indian,Snacks,Pastas,Desserts,Lebanese,Pizzas,Desserts,Biryani,Mughlai,,North,Indian,Beverages,Snacks,Sweets,Chinese,Punjabi,North,Indian,North,Indian,Chinese,North,Indian,North,Indian,Chinese,Pizzas,Chinese,Snacks,Beverages,American,Indian,Chinese,Pizzas,Chinese,Snacks,Beverages,Chinese,Snacks,Thalis,Biryani,Fast,Food,Indian,North,Indian,Fast,Food,American,Snacks,Gujarati,Chinese,North,Indian,Chinese,Sweets,Beverages,Indian,Combo,Beverages,Chinese,,Indian,Indian,Combo,Chinese,North,Indian,Seafood,Biryani,Chinese,North,Indian,Lebanese,South,Indian,Tibetan,,Chinese,,Asian,,Snacks,,Continental,,Desserts,,Beverages,North,Indian,Mughlai,North,Indian,Chinese,Biryani,Gujarati,North,Indian,Chinese,Biryani,Tandoor,Pizzas,Snacks,Beverages,Bakery,Snacks,Fast,Food,Pizzas,Pastas,Italian,American,Italian,Pizzas,Snacks,Healthy,Food,Juices,Beverages,Snacks,Pizzas,Beverages,Indian,,Desserts,,Fast,Food,Snacks,Healthy,Food,Ice,Cream,Beverages,Pizzas,Italian,Snacks,Beverages,Chinese,Biryani,Mughlai,Chinese,,Indian,Indian,Biryani,Beverages,Chinese,Chinese,Beverages,Snacks,Indian,Pizzas,Chinese,,Snacks,,Italian,North,Indian,Tandoor,Chinese,Snacks,Chinese,British,American,Chinese,Beverages,North,Indian,Bengali,Lebanese,Chinese,Bakery,Beverages,Chaat,Desserts,Home,Food,Italian,Maharashtrian,Snacks,Street,Food,Sweets,Sweets,,Desserts,,Snacks,North,Indian,,Chinese,Chinese,North,Indian,Pizzas,British,American,Snacks,Bakery,Desserts,Punjabi,North,Indian,Tandoor,Chinese,North,Indian,Kebabs,Desserts,North,Indian,South,Indian,Chinese,Beverages,Snacks,Beverages,Indian,,South,Indian,,Snacks,Italian,Chinese,Snacks,Snacks,,Mughlai,Italian,Pizzas,Arabian,North,Indian,Chinese,American,Beverages,Indian,Snacks,Chinese,North,Indian,South,Indian,North,Indian,Indian,Chinese,Beverages,Desserts,North,Indian,Biryani,Indian,Salads,Italian,North,Indian,Mexican,Beverages,Biryani,Indian,Seafood,Pizzas,American,Snacks,Biryani,Chinese,South,Indian,North,Indian,Chinese,Seafood,Beverages,Biryani,Maharashtrian,American,,Snacks,Ice,Cream,Desserts,Beverages,South,Indian,Indian,Snacks,South,Indian,Chinese,Beverages,North,Indian,Indian,Chinese,Snacks,Pizzas,Snacks,American,,Snacks,,Beverages,Chinese,Indian,Snacks,Indian,British,Italian,Beverages,Chinese,Biryani,Chinese,Snacks,Indian,North,Indian,Pizzas,,North,Indian,American,Snacks,North,Indian,Biryani,Snacks,North,Indian,Chinese,Seafood,Chinese,American,Pizzas,Snacks,Kebabs,American,Lebanese,Combo,Snacks,,Combo,Chinese,Mughlai,North,Indian,Indian,Chinese,Biryani,Pan-Asian,Singaporean,Malaysian,Japanese,Asian,Chinese,Indonesian,North,Indian,Biryani,Thalis,Biryani,Chinese,Chinese,Snacks,North,Indian,Pizzas,Pizzas,British,Snacks,Beverages,North,Indian,Chinese,Seafood,Beverages,Ice,Cream,Snacks,Beverages,North,Indian,North,Indian,,Chinese,,Tandoor,Snacks,,Indian,Indian,,Biryani,,Chinese,,Beverages,,Seafood,,Tandoor,Mughlai,,Arabian,,Tandoor,,Chinese,,Seafood,Bakery,,Desserts,North,Indian,,Salads,Indian,,Chinese,,North,Indian,Fast,Food,Healthy,Food,North,Indian,Beverages,Indian,Mediterranean,Italian,Salads,South,Indian,South,Indian,Pizzas,Salads,Combo,Italian,Mexican,Desserts,Beverages,North,Indian,Italian,North,Indian,Chinese,South,Indian,North,Indian,South,Indian,Chinese,Ice,Cream,Desserts,Beverages,Ice,Cream,Cakes,Maharashtrian,North,Indian,Fast,Food,Street,Food,Sweets,Street,Food,Snacks,Chaat,Bakery,North,Indian,Chinese,Thai,Continental,South,Indian,Chinese,Chaat,North,Indian,Fast,Food,Snacks,South,Indian,Sweets,Desserts,Chaat,Snacks,Beverages,Chaat,Snacks,Fast,Food,North,Indian,Chinese,South,Indian,Fast,Food,Gujarati,Rajasthani,Fast,Food,Italian,Continental,Healthy,Food,North,Indian,Biryani,Combo,North,Indian,,Chinese,,South,Indian,North,Indian,North,Indian,Chinese,South,Indian,Chaat,Thalis,Combo,Street,Food,Fast,Food,Snacks,Pizzas,Pastas,Mexican,Indian,Italian,Continental,Biryani,Kebabs,North,Indian,Punjabi,Thalis,Chinese,Combo,Snacks,Desserts,,Fast,Food,,Bakery,Fast,Food,Chaat,Italian,Juices,Snacks,Fast,Food,Chaat,Fast,Food,Beverages,South,Indian,North,Indian,Indian,,Chinese,,Tandoor,,South,Indian,North,Indian,Chinese,South,Indian,Desserts,Sweets,Bakery,North,Indian,Fast,Food,North,Indian,,South,Indian,North,Indian,Chinese,South,Indian,Fast,Food,Street,Food,North,Indian,Beverages,South,Indian,Fast,Food,Italian,Chinese,North,Indian,Biryani,Kebabs,Healthy,Food,Beverages,Desserts,South,Indian,,Juices,,Indian,North,Indian,Chinese,South,Indian,Mexican,Juices,Fast,Food,South,Indian,Street,Food,North,Indian,South,Indian,Street,Food,Chaat,North,Indian,Chinese,Maharashtrian,Fast,Food,South,Indian,South,Indian,Chinese,Beverages,North,Eastern,Continental,Juices,Desserts,North,Indian,Chinese,Pizzas,Desserts,Beverages,Fast,Food,Juices,,Fast,Food,North,Indian,Punjabi,Chinese,Thalis,Combo,Beverages,Desserts,North,Indian,Chinese,Beverages,South,Indian,Fast,Food,Rajasthani,Thalis,Indian,North,Indian,Chinese,Continental,Desserts,North,Indian,Chinese,South,Indian,Continental,Desserts,Sweets,Bakery,Punjabi,North,Indian,South,Indian,Fast,Food,Italian,Mexican,North,Indian,Chinese,Continental,Chaat,Chinese,Juices,North,Indian,Biryani,Chinese,Italian,Mexican,Desserts,Sweets,Desserts,Snacks,North,Indian,Chinese,South,Indian,Continental,North,Indian,Chinese,Street,Food,Desserts,Fast,Food,North,Indian,Chinese,South,Indian,Fast,Food,Beverages,Snacks,Snacks,,Street,Food,,Fast,Food,,Sweets,Ice,Cream,Beverages,Italian,Juices,Fast,Food,Street,Food,,North,Indian,,Chinese,,South,Indian,North,Indian,Chinese,South,Indian,Fast,Food,Tandoor,Street,Food,North,Indian,Chinese,South,Indian,Fast,Food,Beverages,,Juices,,Fast,Food,Indian,,Chinese,,Pizzas,,Italian,Indian,Street,Food,,North,Indian,,Chinese,,South,Indian,Desserts,Beverages,Chaat,South,Indian,South,Indian,Chaat,Street,Food,South,Indian,Chaat,Italian,Gujarati,South,Indian,North,Indian,Chinese,Pizzas,,Fast,Food,Sweets,Punjabi,North,Indian,Chinese,Sweets,Chaat,Desserts,Fast,Food,Sweets,,North,Indian,,Chinese,,South,Indian,South,Indian,Fast,Food,South,Indian,Pastas,Pizzas,Beverages,Snacks,Chinese,South,Indian,North,Indian,,Chinese,,Continental,Ice,Cream,Desserts,Beverages,North,Indian,Chinese,South,Indian,Fast,Food,North,Indian,Chinese,Fast,Food,South,Indian,Italian,Desserts,Italian,Pizzas,Mughlai,North,Indian,Chinese,Rajasthani,Ice,Cream,,Desserts,Italian,Italian,Chinese,Fast,Food,North,Indian,Chinese,Andhra,Biryani,Desserts,Ice,Cream,South,Indian,Beverages,North,Indian,Sweets,Desserts,Italian,Maharashtrian,South,Indian,Punjabi,Snacks,Thalis,Fast,Food,Street,Food,North,Indian,South,Indian,Sweets,Pizzas,Desserts,North,Indian,North,Indian,Chinese,South,Indian,Tandoor,Maharashtrian,North,Indian,North,Indian,Chinese,South,Indian,Fast,Food,Ice,Cream,Street,Food,North,Indian,Chinese,Gujarati,South,Indian,Beverages,Snacks,Indian,Chinese,South,Indian,Vietnamese,North,Indian,Chinese,Fast,Food,South,Indian,Sweets,South,Indian,North,Indian,Sweets,Chinese,Maharashtrian,Street,Food,Fast,Food,North,Indian,South,Indian,North,Indian,Chinese,Mexican,Juices,Beverages,North,Indian,Chinese,South,Indian,Fast,Food,North,Indian,,South,Indian,,Fast,Food,Maharashtrian,Gujarati,Rajasthani,North,Indian,South,Indian,South,Indian,Street,Food,Fast,Food,Snacks,Beverages,Healthy,Food,Indian,Fast,Food,South,Indian,South,Indian,South,Indian,North,Indian,Chinese,South,Indian,Maharashtrian,Ice,Cream,Desserts,Ice,Cream,Desserts,Beverages,Ice,Cream,Desserts,Healthy,Food,North,Indian,Chinese,Desserts,Beverages,North,Indian,Chinese,South,Indian,Fast,Food,Ice,Cream,Desserts,North,Indian,South,Indian,Mexican,Continental,North,Indian,South,Indian,Chaat,North,Indian,Chinese,Continental,Italian,Beverages,Desserts,Snacks,,Chinese,North,Indian,South,Indian,South,Indian,Andhra,Beverages,Desserts,Chinese,,South,Indian,,Fast,Food,North,Indian,Italian,,Thai,,Continental,South,Indian,North,Indian,Chinese,South,Indian,Biryani,Tandoor,Sweets,Chaat,Snacks,Desserts,North,Indian,North,Indian,South,Indian,Chinese,Fast,Food,South,Indian,South,Indian,Chinese,South,Indian,Continental,Tandoor,South,Indian,North,Indian,Sweets,Chinese,South,Indian,North,Indian,Chinese,Desserts,Fast,Food,Thalis,North,Indian,South,Indian,South,Indian,Fast,Food,Chaat,Sweets,Sweets,Snacks,Desserts,Beverages,South,Indian,Sweets,North,Indian,Chinese,Snacks,North,Indian,Chinese,Fast,Food,North,Indian,Fast,Food,,Desserts,,Beverages,North,Indian,Chinese,South,Indian,Fast,Food,North,Indian,Chinese,South,Indian,Indian,Tandoor,Beverages,North,Indian,Street,Food,Chinese,North,Indian,Fast,Food,,Pastas,,Pizzas,Desserts,Desserts,Sweets,Ice,Cream,Desserts,North,Indian,Italian,Mexican,North,Indian,Chinese,Continental,Ice,Cream,,Ice,Cream,Cakes,,Desserts,Beverages,Fast,Food,Pizzas,Continental,Beverages,Italian,American,Beverages,Continental,Desserts,Italian,Street,Food,Snacks,Tibetan,Cafe,Beverages,Desserts,North,Indian,Chinese,South,Indian,Mexican,Italian,North,Indian,,Chinese,,South,Indian,Street,Food,Indian,Beverages,Chaat,Combo,Pastas,Snacks,Beverages,Desserts,Fast,Food,South,Indian,Italian,Desserts,Bakery,Ice,Cream,Desserts,Beverages,Bakery,Beverages,Juices,Fast,Food,Fast,Food,South,Indian,Chinese,North,Indian,Beverages,Fast,Food,North,Indian,South,Indian,South,Indian,North,Indian,Chinese,South,Indian,Italian,,Lebanese,,Chinese,,Indian,,Mexican,,Biryani,,Pan-Asian,,Asian,,Salads,,American,North,Indian,South,Indian,Chinese,Fast,Food,Juices,Biryani,Punjabi,Italian,Chinese,Mexican,Mediterranean,Thai,North,Indian,Chinese,North,Indian,Chinese,Continental,Fast,Food,Mughlai,North,Indian,Chinese,Fast,Food,Italian,Continental,North,Indian,Chinese,Fast,Food,Maharashtrian,Chaat,North,Indian,Bakery,Fast,Food,Italian,North,Indian,Chinese,Indian,Ice,Cream,South,Indian,Juices,Street,Food,Desserts,Desserts,North,Indian,Chinese,Beverages,,Desserts,Sweets,South,Indian,Beverages,Fast,Food,South,Indian,Bakery,Combo,Cafe,Snacks,Beverages,,Desserts,,American,,Fast,Food,North,Indian,Fast,Food,Fast,Food,Chinese,South,Indian,Continental,Indian,Desserts,Bakery,North,Indian,Chinese,Street,Food,,North,Indian,Street,Food,Fast,Food,Maharashtrian,Indian,Snacks,Street,Food,South,Indian,Sweets,Bakery,Beverages,South,Indian,Indian,Chinese,North,Indian,Chinese,South,Indian,Fast,Food,North,Indian,Chinese,South,Indian,Fast,Food,North,Indian,Jain,Chaat,Indian,South,Indian,Tandoor,South,Indian,Chinese,Thai,North,Indian,Chinese,Tandoor,South,Indian,South,Indian,Street,Food,North,Indian,South,Indian,North,Indian,Chinese,South,Indian,Continental,Indian,Continental,Fast,Food,Mexican,North,Indian,Indian,South,Indian,Beverages,North,Indian,Snacks,Fast,Food,Chinese,Snacks,Pizzas,Beverages,Street,Food,Andhra,Indian,North,Indian,Healthy,Food,Fast,Food,Snacks,Street,Food,,Juices,,South,Indian,Ice,Cream,,Ice,Cream,Cakes,,Desserts,North,Indian,Chinese,Desserts,Biryani,Street,Food,Snacks,Ice,Cream,Desserts,Desserts,,Pizzas,Sweets,Desserts,Snacks,,Desserts,,Sweets,,Chaat,Fast,Food,Chinese,Beverages,Juices,Maharashtrian,Ice,Cream,Desserts,Chaat,Indian,Sweets,Fast,Food,North,Indian,Italian,Beverages,Desserts,Desserts,,Bakery,Maharashtrian,Fast,Food,North,Indian,Chinese,Rajasthani,North,Indian,Chinese,Contine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ndian,Rajasthani,Indian,Chinese,Indian,Chinese,South,Indian,Fast,Food,North,Indian,Tandoor,Punjabi,Chinese,Indian,Italian,Beverages,Fast,Food,Snacks,Fast,Food,Pizzas,Beverages,North,Indian,Chinese,Indian,Chinese,Oriental,Italian,Continental,North,Indian,Fast,Food,Italian,Snacks,North,Indian,Chinese,Indian,Chinese,Fast,Food,Pizzas,South,Indian,Fast,Food,Chinese,North,Indian,Pizzas,Pastas,Snacks,Beverages,Indian,Chinese,Combo,Thalis,Beverages,North,Indian,Punjabi,North,Indian,Combo,Punjabi,Chinese,Thalis,Beverages,Fast,Food,North,Indian,Fast,Food,Beverages,Gujarati,North,Indian,Thalis,Juices,Beverages,Fast,Food,North,Indian,Thalis,Beverages,Desserts,Fast,Food,Chaat,Snacks,Pizzas,North,Indian,Indian,Desserts,Ice,Cream,Snacks,North,Indian,Tandoor,Indian,Mexican,Street,Food,Pizzas,Ice,Cream,South,Indian,Bakery,South,Indian,Andhra,Italian,Fast,Food,Chinese,Desserts,Pizzas,Pizzas,Snacks,Desserts,,Ice,Cream,,Chaat,Sweets,Snacks,Fast,Food,Fast,Food,Snacks,Beverages,North,Indian,Desserts,Fast,Food,North,Indian,South,Indian,Beverages,Ice,Cream,Desserts,Healthy,Food,Sweets,,Snacks,,Fast,Food,,Indian,North,Indian,Punjabi,South,Indian,Desserts,Fast,Food,North,Indian,Fast,Food,Cafe,Fast,Food,Beverages,South,Indian,North,Indian,South,Indian,Sweets,Ice,Cream,Indian,Chinese,Continental,Ice,Cream,Desserts,North,Indian,,South,Indian,Desserts,Ice,Cream,Ice,Cream,Cakes,Desserts,North,Indian,Tandoor,Chinese,Snacks,Ice,Cream,Desserts,Snacks,North,Indian,Chinese,North,Indian,Gujarati,Indian,Desserts,South,Indian,Italian,Jain,Fast,Food,Street,Food,Sweets,Beverages,Ice,Cream,Desserts,Healthy,Food,South,Indian,North,Indian,Fast,Food,Beverages,Jain,Snacks,Street,Food,Fast,Food,Snacks,North,Indian,Beverages,South,Indian,Beverages,Fast,Food,Continental,North,Indian,Chinese,Indian,Chinese,Continental,South,Indian,Chinese,North,Indian,Fast,Food,Maharashtrian,Fast,Food,Cafe,South,Indian,Chinese,South,Indian,South,Indian,North,Indian,South,Indian,South,Indian,North,Indian,Chinese,Tandoor,South,Indian,North,Indian,Desserts,Beverages,Thalis,Indian,Chinese,Continental,North,Indian,Continental,Italian,Mexican,Lebanese,Chinese,North,Indian,Ice,Cream,Desserts,Beverages,Italian,North,Indian,Desserts,Desserts,South,Indian,Sweets,Indian,Punjabi,South,Indian,North,Indian,Chinese,South,Indian,Pizzas,Continental,Italian,Punjabi,Italian,Mexican,Chinese,Indian,Chinese,North,Indian,Ice,Cream,Beverages,Desserts,Chinese,Coastal,Desserts,Fast,Food,Jain,North,Indian,South,Indian,South,Indian,North,Indian,Chinese,South,Indian,Desserts,,Biryani,,Chaat,,Fast,Food,Indian,Chinese,South,Indian,,Beverages,Indian,Chinese,Continental,Mexican,American,Snacks,Desserts,Bakery,Sweets,Desserts,Beverages,Desserts,Bakery,Beverages,Beverages,Beverages,North,Indian,South,Indian,Indian,Juices,Beverages,Desserts,Healthy,Food,Indian,Chinese,Continental,Thai,Mexican,Indian,Desserts,,Ice,Cream,South,Indian,North,Indian,Chinese,Beverages,Biryani,Continental,Desserts,Fast,Food,Snacks,Italian,Indian,Thalis,Indian,Chinese,Continental,South,Indian,Snacks,Beverages,Maharashtrian,South,Indian,Indian,Juices,,Fast,Food,Fast,Food,Fast,Food,Italian,North,Indian,Tandoor,Indian,Punjabi,Indian,Chinese,North,Indian,Beverages,Desserts,Fast,Food,Sweets,Desserts,Sweets,,Desserts,Chinese,Thai,Pan-Asian,Asian,Oriental,Snacks,North,Indian,South,Indian,Chinese,Indian,Indian,,North,Indian,,Rajasthani,,Thalis,,Combo,South,Indian,North,Indian,South,Indian,Italian,Chinese,Chaat,Beverages,Desserts,North,Indian,South,Indian,Chinese,Fast,Food,North,Indian,Chinese,Fast,Food,Beverages,Ice,Cream,Desserts,Healthy,Food,Maharashtrian,North,Indian,Fast,Food,Street,Food,South,Indian,North,Indian,Sweets,Snacks,Street,Food,Fast,Food,Healthy,Food,Thalis,Beverages,Pizzas,Chinese,Pizzas,Street,Food,Snacks,South,Indian,South,Indian,Fast,Food,North,Indian,South,Indian,Chinese,Pastas,Ice,Cream,Desserts,Fast,Food,Beverages,South,Indian,Sweets,Snacks,South,Indian,North,Indian,Indian,Chinese,Beverages,Desserts,South,Indian,North,Indian,Indian,Chinese,Beverages,Desserts,Chinese,South,Indian,North,Indian,Desserts,Beverages,Bakery,Cafe,Fast,Food,Street,Food,Desserts,Beverages,Indian,Chinese,Desserts,Fast,Food,Street,Food,Desserts,Ice,Cream,Beverages,Indian,Desserts,Beverages,Sweets,Snacks,Fast,Food,South,Indian,South,Indian,Fast,Food,Pizzas,North,Indian,Indian,Tandoor,Punjabi,Biryani,North,Indian,Continental,Indian,Chinese,Continental,South,Indian,,Continental,,Snacks,Fast,Food,Desserts,Beverages,Snacks,Juices,South,Indian,North,Indian,South,Indian,South,Indian,Snacks,Fast,Food,Indian,North,Indian,Italian,Continental,Chaat,Fast,Food,Desserts,South,Indian,North,Indian,South,Indian,South,Indian,Chinese,South,Indian,North,Indian,Desserts,Fast,Food,Indian,Chinese,Maharashtrian,North,Indian,Chinese,Continental,Mexican,South,Indian,Chinese,,Italian,South,Indian,North,Indian,Chinese,Fast,Food,Punjabi,Indian,Indian,Chinese,Punjabi,Jain,Ice,Cream,Desserts,South,Indian,Ice,Cream,Desserts,Desserts,South,Indian,Fast,Food,Snacks,Italian,Mexican,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,Punjabi,Thalis,Home,Food,Desserts,Sweets,Snacks,Indian,Indian,Thalis,North,Indian,Punjabi,Chinese,Continental,Snacks,Pizzas,Indian,Sweets,Snacks,Punjabi,Chinese,South,Indian,North,Indian,Indian,Chinese,Indian,Thalis,Punjabi,South,Indian,Indian,Chinese,Continental,Italian,Mexican,Fast,Food,Beverages,Pizzas,Fast,Food,Punjabi,Ice,Cream,Desserts,Chaat,Pizzas,Fast,Food,Street,Food,Mexican,Italian,Chinese,Snacks,Desserts,Pizzas,Italian-American,South,Indian,North,Indian,Chinese,Punjabi,Snacks,Chinese,South,Indian,North,Indian,Chinese,Snacks,Snacks,Continental,Italian,Fast,Food,Chinese,Italian,Beverages,Desserts,Chinese,Indian,Indian,Fast,Food,Punjabi,Rajasthani,Gujarati,Thalis,Chinese,Home,Food,Desserts,Sweets,Snacks,Indian,North,Indian,Beverages,Punjabi,Chinese,Fast,Food,Rajasthani,Gujarati,Juices,Home,Food,Sweets,Snacks,Indian,North,Indian,Beverages,South,Indian,Chinese,Beverages,Desserts,Beverages,Ice,Cream,Punjabi,Chinese,Beverages,Desserts,Sweets,Snacks,Ice,Cream,Desserts,Chaat,Ice,Cream,Fast,Food,Beverages,Desserts,Beverages,Desserts,Ice,Cream,Beverages,Juices,Fast,Food,Desserts,South,Indian,,Chinese,,Biryani,Desserts,Fast,Food,Pizzas,Fast,Food,Beverages,Italian,Indian,Fast,Food,Cafe,Beverages,Desserts,Fast,Food,Juices,Ice,Cream,Indian,North,Indian,Chinese,Punjabi,Pizzas,Fast,Food,Chaat,Indian,North,Indian,South,Indian,Fast,Food,Desserts,Beverages,Fast,Food,Healthy,Food,South,Indian,Chinese,Punjabi,Desserts,Beverages,North,Indian,Mughlai,Punjabi,Gujarati,Punjabi,Indian,South,Indian,Chinese,South,Indian,North,Indian,Desserts,Fast,Food,Beverages,Mughlai,Pizzas,Combo,Juices,,Desserts,,Beverages,Pizzas,Fast,Food,Fast,Food,American,Italian,Indian,Snacks,Italian-American,Beverages,North,Indian,Thai,Italian,Barbecue,Mexican,North,Indian,Punjabi,Chinese,North,Indian,Fast,Food,Italian,Beverages,Chinese,South,Indian,South,Indian,Fast,Food,Pizzas,American,Juices,Beverages,Fast,Food,North,Indian,North,Indian,Punjabi,Street,Food,South,Indian,Indian,South,Indian,Desserts,Ice,Cream,Snacks,Fast,Food,Fast,Food,Chinese,Fast,Food,Ice,Cream,Desserts,Fast,Food,Bakery,Fast,Food,Sweets,Snacks,Fast,Food,Beverages,North,Indian,Fast,Food,South,Indian,Sweets,Chaat,Sweets,Snacks,North,Indian,Gujarati,Punjabi,Thalis,Indian,Beverages,Sweets,Jain,Salads,Home,Food,Fast,Food,North,Indian,Snacks,Fast,Food,Sweets,Indian,Snacks,Desserts,Fast,Food,Chaat,South,Indian,North,Indian,Desserts,Beverages,Desserts,Fast,Food,North,Indian,Chinese,Biryani,Desserts,South,Indian,North,Indian,Desserts,,Bakery,,Fast,Food,South,Indian,South,Indian,Chinese,Continental,Indian,North,Indian,North,Indian,Chinese,Tandoor,Snacks,Pastas,North,Indian,Chinese,Punjabi,Desserts,Beverages,North,Indian,North,Indian,Fast,Food,Punjabi,Beverages,Desserts,Fast,Food,Chinese,North,Indian,Fast,Food,North,Indian,Beverages,Street,Food,Desserts,Fast,Food,Italian,Punjabi,Rajasthani,Gujarati,Thalis,Chinese,Home,Food,Desserts,Sweets,Snacks,Indian,North,Indian,Beverages,Maharashtrian,North,Indian,Chinese,Chinese,Combo,Singaporean,Asian,Sweets,,Indian,Fast,Food,Fast,Food,Fast,Food,South,Indian,Indian,Bakery,Desserts,Sweets,North,Indian,Snacks,Beverages,Fast,Food,North,Indian,Chinese,Continental,Beverages,Pizzas,Italian,North,Indian,Pastas,Desserts,Tibetan,Healthy,Food,Fast,Food,North,Indian,Fast,Food,Chinese,Continental,Desserts,Fast,Food,Italian,Mexican,Pan-Asian,South,Indian,North,Indian,North,Indian,Chaat,Chinese,Pizzas,Desserts,Beverages,Desserts,North,Indian,North,Indian,Indian,Ice,Cream,Desserts,Punjabi,Chinese,Thalis,Indian,Ice,Cream,Desserts,Bakery,Desserts,Beverages,Ice,Cream,Beverages,Ice,Cream,,Beverages,Desserts,,Bakery,North,Indian,South,Indian,Chinese,Sweets,,Desserts,,Beverages,Snacks,,Fast,Food,North,Indian,Chinese,Italian,Biryani,Healthy,Food,Kebabs,Beverages,Desserts,Desserts,Fast,Food,Beverages,Beverages,Desserts,Desserts,Ice,Cream,Desserts,North,Indian,South,Indian,Chinese,Biryani,Fast,Food,South,Indian,North,Indian,Chinese,Tandoor,American,North,Indian,Chinese,Sweets,North,Indian,Fast,Food,Chinese,Beverages,Juices,Cafe,Fast,Food,Thalis,Chinese,North,Indian,Punjabi,Combo,Sweets,Snacks,Desserts,Ice,Cream,Indian,Continental,Fast,Food,Italian,Punjabi,Chinese,North,Indian,Chinese,Beverages,South,Indian,Chinese,North,Indian,Chinese,North,Indian,Continental,Pizzas,Italian,Snacks,Desserts,Beverages,Snacks,North,Indian,Desserts,Bakery,American,Italian,Sweets,South,Indian,North,Indian,Fast,Food,Juices,Ice,Cream,Snacks,,Sweets,North,Indian,Italian,Lebanese,American,Mexican,Fast,Food,Pizzas,Chinese,Snacks,Chinese,South,Indian,Fast,Food,Fast,Food,Sweets,,Desserts,North,Indian,Punjabi,Chinese,Combo,Thalis,North,Indian,Gujarati,Punjabi,Pizzas,Beverages,Desserts,Indian,Sweets,Desserts,North,Indian,North,Indian,Fast,Food,Chinese,Street,Food,Desserts,Ice,Cream,Beverages,South,Indian,Indian,Beverages,Indian,North,Indian,Gujarati,North,Indian,Chinese,Street,Food,Snacks,Punjabi,Chinese,South,Indian,Fast,Food,Mexican,Mediterranean,Fast,Food,Chinese,Thai,Fast,Food,Beverages,North,Indian,Chinese,Chaat,Indian,Juices,,Healthy,Food,North,Indian,Chaat,Street,Food,South,Indian,Juices,Ice,Cream,North,Indian,Chaat,Pizzas,Beverages,South,Indian,Snacks,South,Indian,Indian,Fast,Food,North,Indian,Chinese,Biryani,Chaat,Indian,Tandoor,Desserts,,Bakery,Ice,Cream,,Desserts,North,Indian,Punjabi,Chinese,Indian,North,Indian,Beverages,Juices,Fast,Food,Ice,Cream,Desserts,Beverages,Punjabi,Chinese,Fast,Food,Sweets,North,Indian,Combo,North,Indian,Chinese,Continental,Desserts,Beverages,North,Indian,Gujarati,Punjabi,Thalis,Indian,Ice,Cream,Desserts,Fast,Food,Chinese,South,Indian,Desserts,South,Indian,Chinese,Fast,Food,Beverages,Beverages,Juices,North,Indian,Italian,Mexican,Beverages,Chaat,North,Indian,Snacks,Rajasthani,Sweets,Desserts,Beverages,North,Indian,Barbecue,Snacks,Sweets,Desserts,North,Indian,Combo,Snacks,Chinese,Sweets,Beverages,Italian,Pizzas,Fast,Food,Snacks,Combo,American,Pizzas,Beverages,Fast,Food,Ice,Cream,Beverages,South,Indian,Chinese,North,Indian,South,Indian,Thai,Continental,Desserts,Sweets,Bakery,South,Indian,Beverages,Chaat,Fast,Food,Street,Food,Beverages,Gujarati,Chinese,Italian,Continental,Beverages,Fast,Food,Pizzas,Fast,Food,Desserts,Beverages,Maharashtrian,South,Indian,North,Indian,Chinese,Tibetan,Mexican,Italian-American,Indian,Desserts,Fast,Food,South,Indian,Desserts,Desserts,Bakery,Fast,Food,Desserts,Paan,North,Indian,Beverages,Desserts,South,Indian,Beverages,South,Indian,Beverages,North,Indian,Desserts,Bakery,Beverages,North,Indian,Chinese,Ice,Cream,Bakery,,Pizzas,Fast,Food,North,Indian,Beverages,Snacks,Indian,Ice,Cream,Desserts,Beverages,North,Indian,Chinese,South,Indian,,Chinese,,Indian,Chinese,South,Indian,North,Indian,Continental,Desserts,Italian,Gujarati,North,Indian,Gujarati,Pizzas,Desserts,North,Indian,Punjabi,Indian,Combo,Desserts,Pan-Asian,Fast,Food,Cafe,North,Indian,Jain,Chinese,Tandoor,Snacks,Street,Food,Chaat,Sweets,Desserts,North,Indian,Snacks,North,Indian,Indian,Italian,Pastas,Continental,Fast,Food,Beverages,Sweets,Snacks,Indian,Fast,Food,Sweets,North,Indian,Chinese,South,Indian,Fast,Food,Punjabi,Rajasthani,Gujarati,Thalis,Chinese,Home,Food,Desserts,Sweets,Snacks,Indian,North,Indian,Beverages,Italian,American,Pastas,Pizzas,Fast,Food,Beverages,Italian,Pizzas,Desserts,Snacks,Beverages,Ice,Cream,Desserts,Indian,Sweets,Chaat,South,Indian,Chinese,North,Indian,South,Indian,South,Indian,Fast,Food,South,Indian,Home,Food,Fast,Food,North,Indian,Desserts,Desserts,Ice,Cream,Desserts,,Beverages,Desserts,Bakery,North,Indian,,South,Indian,,Chinese,,Fast,Food,Desserts,Beverages,Juices,Ice,Cream,Healthy,Food,Pizzas,Fast,Food,Chinese,Continental,Fast,Food,Cafe,Bakery,Ice,Cream,,Desserts,,Beverages,,Ice,Cream,Cakes,North,Indian,Chinese,South,Indian,Bakery,Desserts,Chinese,Combo,Italian,Pastas,Snacks,Indian,South,Indian,Andhra,North,Indian,Gujarati,Punjabi,Chinese,Snacks,North,Indian,Fast,Food,North,Indian,Chinese,Snacks,Fast,Food,Pizzas,Beverages,North,Indian,Chinese,Punjabi,North,Indian,Gujarati,North,Indian,South,Indian,Desserts,Ice,Cream,North,Indian,Gujarati,Juices,Desserts,North,Indian,South,Indian,Sweets,Snacks,North,Indian,Ice,Cream,Beverages,South,Indian,Desserts,Beverages,Ice,Cream,Bakery,Fast,Food,South,Indian,North,Indian,Chinese,Indian,,Rajasthani,Desserts,Beverages,Fast,Food,Sweets,Fast,Food,South,Indian,South,Indian,South,Indian,Street,Food,Chinese,Fast,Food,Chinese,Fast,Food,Indian,Ice,Cream,Pizzas,Desserts,Street,Food,Fast,Food,Chaat,Beverages,Beverages,North,Indian,Fast,Food,Desserts,Ice,Cream,Beverages,Indian,North,Indian,Thalis,Gujarati,Indian,Punjabi,Fast,Food,Pizzas,Pastas,American,Italian,Healthy,Food,Fast,Food,Biryani,Continental,Salads,Desserts,Bakery,Desserts,Ice,Cream,North,Indian,Beverages,Sweets,North,Indian,Chinese,Continental,Fast,Food,Rajasthani,Sweets,Desserts,Indian,North,Indian,Ice,Cream,Desserts,Beverages,Chinese,Fast,Food,Punjabi,Fast,Food,Chinese,Pizzas,Biryani,Continental,Pastas,North,Indian,Pan-Asian,Street,Food,Salads,Combo,Healthy,Food,Thalis,Mexican,Italian,Sweets,Ice,Cream,Sweets,,Fast,Food,North,Indian,Fast,Food,Beverages,South,Indian,South,Indian,,Beverages,Bakery,Desserts,Indian,Chinese,Thai,Pan-Asian,Combo,Fast,Food,Snacks,North,Indian,South,Indian,Desserts,North,Indian,Ice,Cream,Desserts,Beverages,North,Indian,,Rajasthani,,Sweets,,Chaat,,Indian,,Snacks,,Street,Food,,Home,Food,Snacks,Indian,Chinese,Continental,Mexican,Italian,Snacks,Indian,Fast,Food,Chinese,Punjabi,South,Indian,Snacks,Italian,Fast,Food,Pizzas,Burmese,Mexican,Thalis,Combo,Chinese,Fast,Food,Street,Food,Pan-Asian,Asian,Indian,Punjabi,South,Indian,Chinese,Indian,Chinese,Continental,Italian,Tandoor,North,Indian,Cafe,Desserts,Beverages,Continental,Pizzas,Italian-American,Pastas,Mexican,Snacks,Snacks,Healthy,Food,Juices,Beverages,Desserts,Bakery,Desserts,Punjabi,Chinese,South,Indian,Fast,Food,Bakery,,Desserts,,Beverages,,Snacks,Bakery,Desserts,Desserts,Beverages,Fast,Food,Arabian,Mediterranean,Lebanese,Fast,Food,Middle,Eastern,Fast,Food,South,Indian,Beverages,Desserts,Fast,Food,South,Indian,Chinese,Fast,Food,Sweets,Fast,Food,Snacks,Fast,Food,Snacks,North,Indian,Chinese,Tandoor,Beverages,Desserts,South,Indian,North,Indian,Chinese,South,Indian,,North,Indian,Gujarati,Fast,Food,Fast,Food,Chinese,Street,Food,Cafe,Snacks,Ice,Cream,Italian,South,Indian,Snacks,South,Indian,Sweets,North,Indian,Juices,Snacks,Italian,Beverages,Fast,Food,South,Indian,Snacks,Chaat,Beverages,Fast,Food,Pizzas,Indian,Thalis,Combo,Ice,Cream,Desserts,North,Indian,Punjabi,Indian,Snacks,North,Indian,Continental,Indian,Beverages,Desserts,Biryani,South,Indian,Chinese,South,Indian,Pizzas,American,Fast,Food,Snacks,Beverages,Combo,Middle,Eastern,Desserts,Beverages,Fast,Food,Snacks,Desserts,Indian,South,Indian,North,Indian,Home,Food,Indian,North,Indian,Beverages,Fast,Food,Beverages,North,Indian,South,Indian,Biryani,Chinese,Juices,Pizzas,Desserts,Sweets,Home,Food,Indian,North,Indian,Desserts,Ice,Cream,Juices,,Salads,,Ice,Cream,,Snacks,Beverages,Fast,Food,Italian,Snacks,Bakery,Beverages,Ice,Cream,Bakery,Fast,Food,Italian,Pizzas,Jain,Snacks,Chaat,Beverages,South,Indian,North,Indian,Punjabi,Sindhi,Chaat,Juices,North,Indian,Biryani,Chinese,Hyderabadi,North,Indian,Indian,South,Indian,Maharashtrian,Punjabi,Beverages,Combo,Continental,North,Indian,Thalis,Punjabi,Gujarati,Combo,Chinese,North,Indian,Mughlai,Biryani,South,Indian,North,Indian,Chinese,Desserts,Bakery,Fast,Food,Desserts,North,Indian,Fast,Food,Chinese,Chaat,North,Indian,Chinese,Continental,Fast,Food,Indian,Indian,Fast,Food,Desserts,Ice,Cream,Beverages,Juices,Fast,Food,Beverages,Chaat,Fast,Food,Juices,North,Indian,Sweets,North,Indian,Indian,Fast,Food,Desserts,Healthy,Food,Ice,Cream,Bakery,Desserts,Bakery,North,Indian,Indian,South,Indian,Pizzas,Pastas,Beverages,Desserts,Ice,Cream,Indian,Beverages,Biryani,Chinese,Desserts,Ice,Cream,Juices,Tandoor,North,Indian,Street,Food,Chaat,South,Indian,Pizzas,Combo,Chaat,Snacks,Bakery,Sweets,Beverages,Fast,Food,Italian,Fast,Food,Snacks,Chinese,North,Indian,Punjabi,Ice,Cream,Chinese,South,Indian,Punjabi,North,Indian,Thalis,Combo,Beverages,Desserts,Ice,Cream,North,Indian,Mughlai,Street,Food,Biryani,Home,Food,Kebabs,Punjabi,Sindhi,Sweets,Snacks,Street,Food,Sweets,Beverages,Desserts,Pastas,Healthy,Food,Jain,North,Indian,South,Indian,Indian,Thalis,Punjabi,North,Indian,Biryani,Sweets,Paan,Chinese,Pastas,Pizzas,Ice,Cream,Fast,Food,North,Indian,Chinese,South,Indian,Snacks,Pizzas,Chinese,North,Indian,South,Indian,Fast,Food,Pizzas,Ice,Cream,South,Indian,,Fast,Food,,Chinese,,Snacks,,Juices,Fast,Food,,North,Indian,Desserts,Fast,Food,Beverages,Juices,Fast,Food,Snacks,Desserts,Thalis,Punjabi,Gujarati,North,Indian,Chinese,Combo,Desserts,Chinese,Bakery,Chinese,Snacks,Desserts,Beverages,Fast,Food,Fast,Food,Indian,Thalis,Home,Food,,North,Indian,Healthy,Food,Salads,Ice,Cream,Beverages,Juices,Navratri,Special,North,Indian,Snacks,South,Indian,,Snacks,,Combo,Bakery,Desserts,,Sweets,Desserts,Bakery,North,Indian,,Sindhi,,Punjabi,,Thalis,Fast,Food,Chinese,North,Indian,Chinese,North,Indian,North,Indian,Thalis,Hyderabadi,Indian,Desserts,Sweets,North,Indian,North,Indian,North,Indian,North,Indian,Street,Food,North,Indian,Chinese,South,Indian,Fast,Food,South,Indian,North,Indian,Biryani,Chinese,Tandoor,Snacks,Beverages,Combo,Fast,Food,North,Indian,South,Indian,Fast,Food,Pizzas,Italian,Fast,Food,North,Indian,Punjabi,Thalis,Salads,Beverages,Chinese,Combo,Tandoor,Chinese,Thai,Japanese,Burmese,North,Indian,Bakery,Desserts,Ice,Cream,Desserts,Beverages,Chaat,,Street,Food,,Beverages,,Home,Food,,Salads,,Snacks,Fast,Food,Indian,Rajasthani,Punjabi,Thalis,Desserts,Beverages,Punjabi,North,Indian,Indian,Italian,Pizzas,Pastas,Fast,Food,Desserts,Beverages,North,Indian,Healthy,Food,Salads,Chinese,Thalis,Fast,Food,Street,Food,Beverages,Biryani,Continental,Punjabi,Italian,Gujarati,Beverages,Chinese,Indian,Italian,Pizzas,Healthy,Food,Home,Food,Desserts,Asian,Pan-Asian,Chinese,Beverages,Desserts,Maharashtrian,Italian,Mexican,Pizzas,Pastas,Indian,Desserts,Ice,Cream,Indian,Snacks,Ice,Cream,,Desserts,Snacks,Sweets,North,Indian,South,Indian,Desserts,Ice,Cream,Desserts,Snacks,Sweets,Bakery,Desserts,Beverages,North,Indian,Punjabi,Thalis,Combo,Gujarati,Indian,Snacks,Punjabi,Street,Food,Desserts,Beverages,Chinese,Fast,Food,Pastas,Pizzas,Continental,Chinese,Thai,Indian,South,Indian,North,Indian,Indian,Indian,Snacks,,South,Indian,,Telangana,Fast,Food,Snacks,Italian,Chinese,Pizzas,Combo,Ice,Cream,Juices,North,Indian,Salads,Ice,Cream,Desserts,South,Indian,Chinese,North,Indian,North,Indian,South,Indian,Chinese,Fast,Food,Fast,Food,South,Indian,Pizzas,Italian,Snacks,Desserts,Beverages,Fast,Food,Snacks,Chaat,Street,Food,Beverages,Combo,North,Indian,Indian,Maharashtrian,Rajasthani,Indian,Home,Food,Healthy,Food,Snacks,Bakery,Desserts,Ice,Cream,Beverages,Indian,,Home,Food,,Healthy,Food,,Snacks,Indian,Home,Food,Healthy,Food,Snacks,North,Indian,Home,Food,North,Indian,Punjabi,Maharashtrian,Gujarati,Indian,Sweets,,Desserts,,Snacks,,Home,Food,,Indian,Fast,Food,Fast,Food,Hyderabadi,Desserts,Fast,Food,Desserts,Ice,Cream,Ice,Cream,Desserts,Healthy,Food,Desserts,Ice,Cream,Fast,Food,Desserts,Beverages,Barbecue,North,Indian,Desserts,Biryani,North,Indian,Desserts,Biryani,North,Indian,Desserts,Biryani,North,Indian,Desserts,Biryani,North,Indian,Desserts,Biryani,North,Indian,,Desserts,,Biryani,Ice,Cream,Desserts,Ice,Cream,,Desserts,,Beverages,Chaat,Desserts,Ice,Cream,Juices,North,Indian,Beverages,Italian,Fast,Food,Beverages,North,Indian,Chinese,Mexican,Ice,Cream,North,Indian,Beverages,Fast,Food,Sweets,Desserts,Combo,Snacks,Indian,Snacks,Beverages,Indian,Desserts,Beverages,North,Indian,Chaat,Beverages,Fast,Food,Indian,Chinese,Fast,Food,South,Indian,Ice,Cream,Desserts,Beverages,North,Indian,North,Indian,Fast,Food,Snacks,Sweets,Bakery,Sweets,Snacks,Fast,Food,Continental,Ice,Cream,Beverages,Desserts,South,Indian,Sweets,,Indian,,Snacks,,Desserts,South,Indian,,Chinese,,Fast,Food,,Desserts,,Beverages,Cafe,Fast,Food,Beverages,Fast,Food,Indian,Ice,Cream,North,Indian,Mughlai,Beverages,Italian,Mongolian,Jain,Pizzas,Fast,Food,Continental,Italian,Chinese,Indian,North,Indian,Indian,Indian,Chinese,Mexican,Pizzas,Fast,Food,Indian,Chinese,Bakery,,Desserts,,Snacks,,Beverages,,Waffle,North,Indian,Punjabi,Snacks,Indian,Ice,Cream,North,Indian,Indian,Bakery,South,Indian,Healthy,Food,Chinese,Beverages,Indian,South,Indian,North,Indian,South,Indian,Fast,Food,Snacks,Bakery,Indian,Beverages,Snacks,North,Indian,Chinese,Gujarati,Thalis,Navratri,Special,Biryani,Indian,Beverages,Healthy,Food,Combo,Indian,Sweets,South,Indian,Mughlai,North,Indian,Chinese,Juices,Desserts,,Bakery,,Ice,Cream,Desserts,,Ice,Cream,South,Indian,North,Indian,Indian,Chinese,Fast,Food,Combo,Chaat,Ice,Cream,Desserts,Beverages,North,Indian,Chinese,Indian,Jain,Biryani,Desserts,Beverages,Italian,Pastas,Continental,Thai,Mediterranean,Pan-Asian,Bakery,Desserts,Ice,Cream,Chaat,Snacks,Fast,Food,Beverages,Desserts,Paan,Rajasthani,,Indian,,Bengali,Ice,Cream,Desserts,Beverages,Snacks,Fast,Food,Indian,Beverages,Desserts,South,Indian,South,Indian,North,Indian,Chinese,Desserts,,Beverages,North,Indian,Bakery,Indian,South,Indian,North,Indian,Indian,Fast,Food,Snacks,Italian,Pizzas,Fast,Food,Snacks,Ice,Cream,Chinese,Tandoor,Continental,Indian,Chinese,Snacks,North,Indian,South,Indian,Chinese,Fast,Food,Desserts,Ice,Cream,Ice,Cream,Ice,Cream,Cakes,Desserts,Beverages,Punjabi,Chinese,Fast,Food,Rajasthani,Gujarati,Juices,Home,Food,Sweets,Snacks,Indian,North,Indian,Beverages,Ice,Cream,Bakery,Desserts,Ice,Cream,Desserts,Beverages,Indian,Fast,Food,Snacks,Beverages,Snacks,,Sweets,Ice,Cream,Desserts,South,Indian,Chinese,South,Indian,Beverages,North,Indian,South,Indian,Fast,Food,Snacks,Beverages,Snacks,South,Indian,Pizzas,Italian-American,Indian,Snacks,Combo,Fast,Food,Indian,Rajasthani,Punjabi,Thalis,Desserts,Beverages,Ice,Cream,Desserts,,Beverages,,Pizzas,Indian,Desserts,Bakery,Ice,Cream,Healthy,Food,American,Desserts,Beverages,Keto,South,Indian,North,Indian,Thalis,Combo,Fast,Food,Fast,Food,Continental,Ice,Cream,Desserts,Beverages,Punjabi,Rajasthani,Gujarati,Thalis,Chinese,Home,Food,Desserts,Sweets,Snacks,Indian,North,Indian,Beverages,Gujarati,Rajasthani,Jain,Indian,Snacks,Chaat,Fast,Food,Cafe,Beverages,Pastas,Indian,Healthy,Food,Desserts,Ice,Cream,South,Indian,Ice,Cream,,Desserts,Pizzas,American,Italian,Fast,Food,Snacks,Home,Food,North,Indian,Biryani,Thalis,Beverages,Chinese,Healthy,Food,Indian,Combo,Ice,Cream,Desserts,Fast,Food,Street,Food,Fast,Food,Indian,South,Indian,Maharashtrian,South,Indian,Fast,Food,Chaat,Snacks,Juices,Indian,Chinese,South,Indian,Indian,Pizzas,Indian,Chinese,Oriental,Snacks,Chinese,Continental,Bakery,Fast,Food,Snacks,North,Indian,Beverages,Ice,Cream,Desserts,Ice,Cream,Desserts,Snacks,Indian,Indian,,Fast,Food,Punjabi,North,Indian,Combo,Thalis,Paan,Indian,Desserts,Snacks,Continental,Tandoor,Chinese,Biryani,North,Indian,South,Indian,Jain,Desserts,Beverages,Asian,Burmese,Indian,North,Indian,Juices,Combo,North,Indian,Chaat,Thalis,Tandoor,Indian,Desserts,Beverages,Pizzas,North,Indian,American,Thalis,Beverages,Combo,Punjabi,Indian,Bakery,Desserts,Beverages,Snacks,Chinese,Thai,Pizzas,American,Italian,North,Indian,Beverages,Bakery,Beverages,Desserts,South,Indian,Snacks,Desserts,,Beverages,Bakery,Desserts,Combo,Indian,Bakery,Desserts,Combo,Indian,Bakery,Desserts,Combo,Indian,Bakery,Desserts,Combo,Indian,South,Indian,Desserts,Bakery,Combo,Indian,Bakery,Desserts,Combo,Indian,Bakery,Desserts,Combo,Indian,Pizzas,Italian,Desserts,Beverages,Fast,Food,Snacks,Bakery,Desserts,Combo,Indian,Sweets,Bakery,Indian,Snacks,Sweets,,Chaat,,Fast,Food,,Snacks,Chinese,Combo,Continental,Fast,Food,Snacks,Pastas,North,Indian,Indian,North,Indian,Bakery,Desserts,Bakery,Desserts,Combo,Indian,Beverages,Snacks,Continental,South,Indian,North,Indian,Oriental,Snacks,Pizzas,Italian,Snacks,Desserts,Beverages,Pizzas,Fast,Food,Continental,Snacks,American,Beverages,Desserts,Indian,North,Indian,Chinese,North,Indian,Tandoor,Fast,Food,Combo,Chinese,North,Indian,Punjabi,South,Indian,Ice,Cream,Desserts,Fast,Food,North,Indian,Street,Food,Indian,Pizzas,Beverages,Chinese,Pizzas,Continental,Indian,Street,Food,Thalis,North,Indian,Rajasthani,Chaat,Fast,Food,Continental,Beverages,Italian,Fast,Food,Ice,Cream,,Desserts,Ice,Cream,Desserts,Bakery,Desserts,Indian,Combo,Sweets,Bakery,Indian,Desserts,Combo,Sweets,Indian,Bakery,Desserts,Combo,Sweets,Indian,Bakery,Desserts,Combo,Sweets,Ice,Cream,Desserts,Street,Food,Indian,Beverages,Ice,Cream,Desserts,Ice,Cream,,Desserts,Bakery,Desserts,Indian,Combo,Sweets,Bakery,Indian,Desserts,Combo,Sweets,Indian,Desserts,Ice,Cream,Street,Food,Chinese,Pizzas,Beverages,Fast,Food,North,Indian,Street,Food,Snacks,North,Indian,Gujarati,Punjabi,Jain,Ice,Cream,Desserts,Snacks,,Desserts,,Beverages,Rajasthani,Indian,Beverages,South,Indian,Chinese,North,Indian,Chinese,Fast,Food,Pastas,Bakery,Desserts,South,Indian,Sweets,Indian,Beverages,Ice,Cream,Desserts,Indian,Biryani,Fast,Food,Snacks,Beverages,Sweets,Street,Food,Indian,Snacks,North,Indian,Fast,Food,Chaat,Fast,Food,Street,Food,Snacks,Chinese,Chinese,,Indian,Sweets,Combo,Desserts,Bengali,Bakery,Beverages,Desserts,Ice,Cream,Healthy,Food,Street,Food,Indian,South,Indian,North,Indian,Beverages,Desserts,,Ice,Cream,,Bakery,Bakery,Desserts,Ice,Cream,Bakery,Desserts,Ice,Cream,Bakery,Desserts,Ice,Cream,Desserts,Ice,Cream,Bakery,Bakery,Desserts,Desserts,Ice,Cream,Bakery,Indian,Ice,Cream,Desserts,Ice,Cream,Desserts,Indian,Pizzas,Biryani,Beverages,South,Indian,Beverages,Paan,Indian,,Chinese,,Italian,Juices,Beverages,Desserts,Ice,Cream,,Beverages,Indian,Snacks,Beverages,Snacks,Fast,Food,Indian,Chinese,Jain,Fast,Food,North,Indian,Street,Food,Indian,Fast,Food,Fast,Food,Snacks,Beverages,Ice,Cream,Snacks,Beverages,North,Indian,Street,Food,Chaat,South,Indian,Thalis,Desserts,Beverages,Snacks,Ice,Cream,Chinese,Italian,Street,Food,Snacks,Ice,Cream,Desserts,Street,Food,Maharashtrian,Chinese,Fast,Food,Indian,Chinese,Snacks,Desserts,,Ice,Cream,Desserts,Bakery,Desserts,Desserts,Ice,Cream,Chinese,Fast,Food,Snacks,,Beverages,,Indian,Beverages,Maharashtrian,North,Indian,Fast,Food,Street,Food,Desserts,Indian,Chinese,Healthy,Food,,Juices,,Beverages,,Snacks,,Fast,Food,Snacks,Fast,Food,South,Indian,Chinese,Indian,Chinese,South,Indian,Desserts,Ice,Cream,Bakery,South,Indian,Chaat,Snacks,South,Indian,Beverages,Desserts,Ice,Cream,Bakery,Desserts,Ice,Cream,Indian,Chinese,Ice,Cream,Bakery,Desserts,Indian,Beverages,Indian,Snacks,North,Indian,Fast,Food,Maharashtrian,Indian,Indian,Indian,Ice,Cream,Continental,Snacks,Snacks,Fast,Food,Desserts,Bakery,Sweets,Snacks,Fast,Food,Indian,Sweets,Snacks,Indian,Chinese,Snacks,Snacks,Desserts,Bakery,Desserts,Fast,Food,Pizzas,Pastas,Beverages,Indian,,Chinese,Beverages,Pastas,Ice,Cream,,Desserts,Biryani,Rajasthani,Snacks,Beverages,,Fast,Food,Bakery,Juices,,Beverages,,Ice,Cream,Desserts,Indian,Juices,Beverages,Chaat,Snacks,Fast,Food,Beverages,Desserts,Bakery,Fast,Food,Snacks,North,Indian,Snacks,Beverages,Indian,South,Indian,Chinese,Fast,Food,Chaat,Snacks,Indian,Chinese,Pastas,Fast,Food,Snacks,Ice,Cream,South,Indian,Snacks,Indian,Indian,Chinese,Fast,Food,Continental,Street,Food,Sweets,Juices,Beverages,North,Indian,Indian,European,American,Chinese,South,Indian,Beverages,Pizzas,South,Indian,North,Indian,Chaat,Chinese,Juices,Beverages,Indian,Beverages,Gujarati,Thalis,North,Indian,Rajasthani,Desserts,Punjabi,North,Indian,Biryani,Indian,Beverages,Ice,Cream,Beverages,Juices,South,Indian,Ice,Cream,Desserts,Ice,Cream,Desserts,North,Indian,Beverages,Desserts,Fast,Food,Ice,Cream,Indian,Chinese,Chinese,Beverages,Indian,Indian,Chinese,Fast,Food,Thai,Chaat,North,Indian,Desserts,Biryani,Chinese,Desserts,Continental,Tibetan,Ice,Cream,Desserts,Paan,Beverages,Waffle,Chinese,Indian,Continental,Pastas,Punjabi,Chinese,Continental,North,Indian,Chinese,Snacks,Beverages,Punjabi,Bakery,Desserts,Bakery,Cafe,North,Indian,Chinese,Tandoor,Chinese,Indian,Jain,Beverages,Chinese,Chaat,Snacks,South,Indian,Chinese,North,Indian,South,Indian,Beverages,Ice,Cream,Chinese,Snacks,Ice,Cream,Desserts,Beverages,Indian,Street,Food,European,South,Indian,Bakery,Desserts,Snacks,Paan,Beverages,Indian,Chinese,,North,Indian,,Continental,,Fast,Food,,Snacks,Ice,Cream,Indian,Chaat,,Beverages,,Juices,Snacks,Italian,Continental,Sweets,Desserts,Ice,Cream,Bakery,Indian,Fast,Food,Mexican,Continental,Beverages,Ice,Cream,Desserts,Ice,Cream,Desserts,Indian,,Fast,Food,Chinese,Beverages,North,Indian,Rajasthani,Pizzas,Beverages,Beverages,Pizzas,Pastas,Fast,Food,Italian,Pizzas,Pastas,Indian,Tandoor,North,Indian,Fast,Food,Street,Food,Snacks,Chaat,Chinese,Biryani,Combo,Bakery,Snacks,Italian,Pizzas,Beverages,Desserts,Fast,Food,Indian,Fast,Food,Italian,Chinese,Beverages,Fast,Food,Fast,Food,Indian,Beverages,Italian,Chaat,Snacks,Indian,Indian,Salads,Continental,Italian,Pizzas,Snacks,Pizzas,Italian,Snacks,Desserts,Beverages,Italian,Pizzas,Snacks,Italian,Pizzas,Snacks,Chinese,Chinese,Fast,Food,Beverages,Combo,Snacks,South,Indian,,Chaat,,Sweets,South,Indian,Sweets,Italian,Fast,Food,Desserts,Bakery,Indian,Chinese,Pastas,Snacks,Desserts,Fast,Food,Sweets,South,Indian,Sweets,Chinese,Fast,Food,Indian,Chaat,Indian,Beverages,Desserts,Indian,North,Indian,Snacks,Gujarati,Fast,Food,Bakery,Indian,Chinese,Tandoor,Chinese,Thalis,South,Indian,Beverages,Bakery,Juices,,Salads,Indian,Ice,Cream,Beverages,North,Indian,Continental,Beverages,Beverages,,Desserts,Ice,Cream,Desserts,Ice,Cream,Desserts,Indian,North,Indian,Fast,Food,Sweets,Indian,Chinese,Fast,Food,Punjabi,Fast,Food,Snacks,Chinese,Desserts,Bakery,Punjabi,North,Indian,Thalis,Desserts,Beverages,Sweets,Pizzas,Italian,Beverages,Juices,Ice,Cream,Desserts,Pizzas,Pastas,Fast,Food,Beverages,North,Indian,Chaat,Sweets,Indian,Chinese,Indian,Indian,South,Indian,Chinese,Juices,Beverages,Tandoor,Maharashtrian,Ice,Cream,,Beverages,SVANidhi,Street,Food,Vendor,Fast,Food,Indian,South,Indian,,Snacks,,Beverages,Pizzas,Bakery,Salads,Healthy,Food,Beverages,Chaat,Fast,Food,Beverages,Fast,Food,Indian,Fast,Food,Ice,Cream,Desserts,Chaat,Combo,North,Indian,Fast,Food,Snacks,Chaat,Fast,Food,Beverages,Punjabi,Snacks,Chinese,South,Indian,Bakery,,Desserts,Fast,Food,Snacks,Sweets,Chaat,South,Indian,Fast,Food,Beverages,Indian,Bakery,Beverages,Snacks,Pizzas,Pastas,Beverages,South,Indian,Fast,Food,Chaat,Desserts,Snacks,Indian,Pastas,Snacks,North,Indian,Chinese,Snacks,Thalis,Sweets,Snacks,Bakery,Sweets,North,Indian,Thalis,North,Indian,Snacks,Fast,Food,Indian,Snacks,Continental,Pizzas,Pastas,Healthy,Food,,Salads,,Chaat,Italian,Chinese,Fast,Food,Beverages,Chaat,Snacks,Ice,Cream,Bakery,Indian,Chinese,Indian,Snacks,Pastas,Indian,Desserts,Beverages,Ice,Cream,Beverages,Beverages,Juices,Indian,,Snacks,South,Indian,Bakery,Tandoor,Fast,Food,Chinese,Continental,Indian,Ice,Cream,Desserts,Indian,Beverages,Snacks,Fast,Food,Snacks,,Indian,,Chinese,Snacks,South,Indian,,Biryani,Tibetan,Chinese,Indian,Tandoor,Chinese,Beverages,Chinese,Snacks,Beverages,Italian,Snacks,Fast,Food,Salads,Paan,Bakery,,Sweets,,Desserts,Continental,,Italian,,Chinese,,Beverages,Fast,Food,Continental,Indian,Continental,Beverages,Desserts,Continental,Italian,Beverages,Italian,Continental,Beverages,Beverages,Juices,Fast,Food,North,Indian,Biryani,South,Indian,Chinese,Beverages,Indian,Pizzas,Ice,Cream,Desserts,Chinese,Continental,Fast,Food,Pizzas,Mexican,Fast,Food,Thalis,South,Indian,Snacks,Ice,Cream,Desserts,Chinese,Fast,Food,Indian,Sweets,Bakery,Snacks,Fast,Food,Chinese,Asian,Combo,Thalis,Beverages,Pan-Asian,Jain,Thalis,Punjabi,North,Indian,Biryani,Indian,Gujarati,Chinese,Offer,Valid,only,for,New,Customers,Tandoor,Bowl,Company,,Keventers,&,more,Combo,Salads,Desserts,Sweets,Healthy,Food,Jain,Fast,Food,Indian,Snacks,Fast,Food,Continental,Beverages,Italian,Mexican,Beverages,Desserts,Beverages,Fast,Food,South,Indian,Beverages,Snacks,Chinese,Indian,Indian,Thalis,Italian,Beverages,Continental,Beverages,Fast,Food,Desserts,South,Indian,North,Indian,Biryani,Salads,Beverages,Fast,Food,Beverages,Desserts,Fast,Food,Indian,Thalis,Snacks,,Sweets,Beverages,Bakery,Desserts,Italian,Snacks,Sweets,Beverages,Indian,Afghani,Fast,Food,Thalis,North,Indian,,Sweets,Fast,Food,Pizzas,Pastas,Bakery,Desserts,Sweets,Chaat,Juices,Indian,Thalis,Punjabi,North,Indian,Biryani,Gujarati,Chinese,Combo,Salads,Desserts,Sweets,Healthy,Food,Jain,Fast,Food,Indian,Chinese,Combo,Fast,Food,Chaat,Pizzas,Chaat,Snacks,Bakery,,Snacks,,Desserts,Italian,Fast,Food,Beverages,North,Indian,Indian,Street,Food,Chaat,Indian,Fast,Food,Pizzas,Beverages,Fast,Food,Pizzas,Bakery,South,Indian,Snacks,Fast,Food,Chaat,Desserts,Ice,Cream,Indian,Beverages,Snacks,Chinese,Beverages,Fast,Food,North,Indian,Fast,Food,Chinese,Beverages,Juices,Fast,Food,Combo,Beverages,Street,Food,Indian,Chinese,Oriental,Beverages,Desserts,American,Chinese,North,Indian,Tandoor,Bakery,Desserts,South,Indian,,Beverages,Bakery,Beverages,Pizzas,Fast,Food,Indian,Chinese,Beverages,Indian,Chinese,Ice,Cream,Desserts,Pizzas,Sweets,Snacks,Beverages,North,Indian,Fast,Food,Pizzas,Beverages,Snacks,Bakery,Beverages,Indian,North,Indian,Fast,Food,Tandoor,Chinese,Beverages,Beverages,Desserts,Fast,Food,Snacks,Fast,Food,Chinese,Indian,Chinese,Fast,Food,Continental,Tandoor,Italian,Indian,Beverages,Combo,Indian,Fast,Food,Bakery,Pizzas,Indian,Tandoor,Beverages,North,Indian,Chinese,Combo,Salads,Fast,Food,Beverages,Chinese,Punjabi,,North,Indian,Chinese,Pizzas,Fast,Food,Juices,,Healthy,Food,Beverages,Snacks,Fast,Food,Bakery,Beverages,Beverages,Beverages,Juices,Fast,Food,,Continental,,Chinese,Pizzas,South,Indian,Fast,Food,Mexican,Indian,South,Indian,Biryani,Chinese,Combo,Fast,Food,Gujarati,Fast,Food,Pizzas,Snacks,South,Indian,Chinese,Fast,Food,Pizzas,Pastas,Chinese,North,Indian,Biryani,Arabian,Chinese,Beverages,Chinese,Combo,Snacks,Italian,Continental,Fast,Food,Beverages,North,Indian,Chinese,Thai,Indian,Desserts,Beverages,Chinese,Fast,Food,Thalis,Italian,Desserts,Beverages,Chinese,Italian,Beverages,Chinese,Fast,Food,Beverages,Street,Food,Fast,Food,Combo,Snacks,Beverages,Desserts,Chinese,,South,Indian,Fast,Food,Chinese,Snacks,Desserts,Beverages,Ice,Cream,Fast,Food,,Combo,Chinese,Indian,Thalis,South,Indian,Snacks,Fast,Food,Continental,Italian,Beverages,Beverages,,Ice,Cream,,Salads,Street,Food,Snacks,Indian,Juices,Beverages,Beverages,Snacks,Ice,Cream,Chinese,South,Indian,Bakery,Healthy,Food,Salads,Desserts,Beverages,Indian,,South,Indian,,Beverages,Fast,Food,,Italian,,Mexican,,Beverages,Indian,Fast,Food,Salads,Beverages,Chinese,Indian,North,Indian,Fast,Food,Chinese,Indian,Gujarati,Paan,Beverages,Ice,Cream,Pizzas,Fast,Food,Pastas,Indian,Chinese,Thalis,South,Indian,Indian,Snacks,Beverages,Ice,Cream,Sweets,Fast,Food,South,Indian,Indian,Chinese,Sweets,Ice,Cream,Fast,Food,Pizzas,South,Indian,South,Indian,Ice,Cream,Beverages,Fast,Food,Chaat,Indian,Beverages,Ice,Cream,Beverages,Street,Food,Chinese,South,Indian,Street,Food,Gujarati,Indian,Fast,Food,Pizzas,Beverages,Fast,Food,Pizzas,Snacks,Beverages,Beverages,Ice,Cream,North,Indian,Snacks,South,Indian,Desserts,Ice,Cream,Indian,Punjabi,Fast,Food,Bakery,Sweets,Fast,Food,Pizzas,Fast,Food,Snacks,South,Indian,Chinese,Biryani,Bakery,Desserts,Snacks,Indian,Chinese,Snacks,Indian,Fast,Food,Chinese,Beverages,Biryani,Indian,Chinese,Fast,Food,Snacks,South,Indian,South,Indian,Desserts,Beverages,South,Indian,Snacks,Continental,Chinese,Indian,Desserts,Indian,North,Indian,Beverages,Beverages,Fast,Food,Snacks,Pizzas,Chinese,Fast,Food,Street,Food,Beverages,South,Indian,Indian,Chinese,Beverages,South,Indian,Chinese,Chaat,,Fast,Food,Snacks,Juices,South,Indian,South,Indian,Pizzas,,Fast,Food,,Snacks,North,Indian,Chinese,South,Indian,Indian,Beverages,Chinese,Punjabi,Indian,Beverages,South,Indian,Street,Food,Beverages,Chinese,Chinese,North,Indian,Biryani,South,Indian,Snacks,Indian,Chinese,Ice,Cream,Beverages,Snacks,Chaat,Indian,Indian,Beverages,Pizzas,Chinese,Indian,Chinese,Sweets,South,Indian,Fast,Food,Pizzas,Snacks,Indian,Gujarati,North,Indian,Punjabi,North,Indian,Beverages,Waffle,Desserts,South,Indian,Street,Food,South,Indian,Beverages,Street,Food,Desserts,Sweets,Snacks,American,Snacks,Bakery,Desserts,South,Indian,North,Indian,Chinese,South,Indian,Bakery,Desserts,Punjabi,North,Indian,Chinese,Ice,Cream,Beverages,Desserts,Maharashtrian,Punjabi,Chinese,South,Indian,Pizzas,Street,Food,Continental,Pastas,Snacks,Juices,Beverages,American,Chinese,Italian,Snacks,Desserts,North,Indian,Chaat,Pizzas,Snacks,American,Pizzas,Pastas,Beverages,South,Indian,Chinese,Snacks,Desserts,North,Indian,Chaat,Snacks,Pizzas,South,Indian,Chinese,Snacks,Tandoor,North,Indian,Indian,Snacks,Chaat,Snacks,Chinese'"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_elements = all_elements.replace(' ', ',')\n",
    "all_elements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a4dcb718",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Chinese',\n",
       " 'North',\n",
       " 'Indian',\n",
       " 'South',\n",
       " 'Indian',\n",
       " 'Mughlai',\n",
       " 'Lucknowi',\n",
       " 'Chinese',\n",
       " 'North',\n",
       " 'Indian',\n",
       " 'Punjabi',\n",
       " 'Tandoor',\n",
       " 'Chinese',\n",
       " 'Rajasthani',\n",
       " 'Gujarati',\n",
       " 'North',\n",
       " 'Indian',\n",
       " 'Snacks',\n",
       " 'Desserts',\n",
       " 'Beverages',\n",
       " 'Thalis',\n",
       " 'Chaat',\n",
       " 'Mughlai',\n",
       " 'North',\n",
       " 'Indian',\n",
       " 'Mexican',\n",
       " 'Beverages',\n",
       " 'Salads',\n",
       " 'Desserts',\n",
       " 'British',\n",
       " 'Bakery',\n",
       " 'Pizzas',\n",
       " 'Snacks',\n",
       " 'American',\n",
       " 'Italian',\n",
       " 'Beverages',\n",
       " 'Continental',\n",
       " 'Chinese',\n",
       " 'Pastas',\n",
       " 'Pizzas',\n",
       " 'Fast',\n",
       " 'Food',\n",
       " 'Bengali',\n",
       " 'Chinese',\n",
       " 'Thai',\n",
       " 'Nepalese',\n",
       " 'North',\n",
       " 'Indian',\n",
       " 'Chinese']"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cuisine_list = all_elements.split(',')\n",
    "cuisine_list[1:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "f33acd38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'',\n",
       " '&',\n",
       " '(The',\n",
       " 'Afghani',\n",
       " 'African',\n",
       " 'American',\n",
       " 'Andhra',\n",
       " 'Arabian',\n",
       " 'Asian',\n",
       " 'Assamese',\n",
       " 'Attractive',\n",
       " 'Australian',\n",
       " 'Available',\n",
       " 'Awadhi',\n",
       " 'Bakery',\n",
       " 'Bangladeshi',\n",
       " 'Barbecue',\n",
       " 'Bengali',\n",
       " 'Beverages',\n",
       " 'Bihari',\n",
       " 'Biryani',\n",
       " 'Bowl',\n",
       " 'Brand',\n",
       " 'British',\n",
       " 'Burmese',\n",
       " 'Cafe',\n",
       " 'Cakes',\n",
       " 'Chaat',\n",
       " 'Chettinad',\n",
       " 'Chinese',\n",
       " 'Coastal',\n",
       " 'Combo',\n",
       " 'Combos',\n",
       " 'Company',\n",
       " 'Continental',\n",
       " 'Cream',\n",
       " 'Customers',\n",
       " 'Desserts',\n",
       " 'Discount',\n",
       " 'Eastern',\n",
       " 'European',\n",
       " 'Fast',\n",
       " 'Food',\n",
       " 'French',\n",
       " 'German',\n",
       " 'Goan',\n",
       " 'Greek',\n",
       " 'Grill',\n",
       " 'Gujarati',\n",
       " 'Haleem',\n",
       " 'Healthy',\n",
       " 'Home',\n",
       " 'Hyderabadi',\n",
       " 'Ice',\n",
       " 'Indian',\n",
       " 'Indonesian',\n",
       " 'Italian',\n",
       " 'Italian-American',\n",
       " 'Jain',\n",
       " 'Japanese',\n",
       " 'Juices',\n",
       " 'Kashmiri',\n",
       " 'Kebabs',\n",
       " 'Kerala',\n",
       " 'Keto',\n",
       " 'Keventers',\n",
       " 'Konkan',\n",
       " 'Korean',\n",
       " 'Lebanese',\n",
       " 'Lucknowi',\n",
       " 'Maharashtrian',\n",
       " 'Malaysian',\n",
       " 'Malwani',\n",
       " 'Mangalorean',\n",
       " 'Mediterranean',\n",
       " 'Mexican',\n",
       " 'Middle',\n",
       " 'Mongolian',\n",
       " 'Mughlai',\n",
       " 'Naga',\n",
       " 'Navratri',\n",
       " 'Nepalese',\n",
       " 'New',\n",
       " 'North',\n",
       " 'Offer',\n",
       " 'Oriental',\n",
       " 'Oriya',\n",
       " 'Paan',\n",
       " 'Pan-Asian',\n",
       " 'Parsi',\n",
       " 'Pastas',\n",
       " 'Persian',\n",
       " 'Pizzas',\n",
       " 'Popular',\n",
       " 'Portuguese',\n",
       " 'Punjab',\n",
       " 'Punjabi',\n",
       " 'Rajasthani',\n",
       " 'Raw',\n",
       " 'Rayalaseema',\n",
       " 'SVANidhi',\n",
       " 'Salads',\n",
       " 'Scoop)',\n",
       " 'Seafood',\n",
       " 'Sindhi',\n",
       " 'Singaporean',\n",
       " 'Snacks',\n",
       " 'South',\n",
       " 'Spanish',\n",
       " 'Special',\n",
       " 'Steakhouse',\n",
       " 'Store',\n",
       " 'Street',\n",
       " 'Sushi',\n",
       " 'Sweets',\n",
       " 'Tandoor',\n",
       " 'Telangana',\n",
       " 'Tex-Mex',\n",
       " 'Thai',\n",
       " 'Thalis',\n",
       " 'Tibetan',\n",
       " 'Tribal',\n",
       " 'Turkish',\n",
       " 'Use',\n",
       " 'Valid',\n",
       " 'Vendor',\n",
       " 'Vietnamese',\n",
       " 'Waffle',\n",
       " 'XPRESS121',\n",
       " 'avail.',\n",
       " 'code',\n",
       " 'for',\n",
       " 'from',\n",
       " 'indian',\n",
       " 'meats',\n",
       " 'more',\n",
       " 'only',\n",
       " 'to'}"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set auto picks unique elements\n",
    "unique_cuisines = set(cuisine_list)\n",
    "unique_cuisines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "cb9ad5ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "138"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(unique_cuisines)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60a55397",
   "metadata": {},
   "source": [
    "After removing the irrelevant terms from the list, the total length of the remaining food options is:\n",
    "\n",
    "Total length: 129\n",
    "\n",
    "Cuisines overview \n",
    "\n",
    "\n",
    "# Food Types\n",
    "\n",
    "| Food Type | Description | Notes |\n",
    "|---|---|---|\n",
    "| Afghani | Non-veg dishes from Afghanistan, like kebabs and rice | Often includes rice and grilled meats. |\n",
    "| African | Diverse cuisine with both veg and non-veg options | Can be very spicy. |\n",
    "| American | Broad cuisine with a mix of veg and non-veg dishes | Includes dishes from all over the United States. |\n",
    "| Andhra | South Indian cuisine, both veg and non-veg, known for spiciness | Often includes rice, lentils, and spices. |\n",
    "| Arabian | Middle Eastern cuisine, offers both veg and non-veg dishes | Can be very flavorful and aromatic. |\n",
    "| Asian | Diverse cuisine with veg and non-veg options | Can be very spicy or mild. |\n",
    "| Australian | Cuisine with various dishes including veg and non-veg | Often includes seafood and lamb. |\n",
    "| Awadhi | Indian cuisine with rich non-veg dishes | Often includes ghee and cream. |\n",
    "| Bakery | Offers veg and non-veg baked goods | Can include cakes, pastries, and breads. |\n",
    "| Bangladeshi | Cuisine from Bangladesh, includes both veg and non-veg | Often includes rice, lentils, and spices. |\n",
    "| Barbecue | Often includes veg and non-veg grilled dishes | Can be very smoky. |\n",
    "| Bengali | Cuisine from West Bengal, offers veg and non-veg dishes | Often includes rice, fish, and sweets. |\n",
    "| Beverages | Drinks, typically veg | Can include juices, sodas, and coffee. |\n",
    "| Bihari | Cuisine from Bihar, includes both veg and non-veg | Often includes rice, lentils, and spices. |\n",
    "| Biryani | Rice dish, can be veg or non-veg | Often includes meat or vegetables, rice, and spices. |\n",
    "| Bowl | General term, may refer to various veg and non-veg dishes | Can be a salad, soup, or stir-fry. |\n",
    "| British | Cuisine from the UK, includes both veg and non-veg | Often includes fish and chips, pies, and puddings. |\n",
    "| Burmese | Cuisine from Myanmar, has both veg and non-veg options | Often includes rice, noodles, and curries. |\n",
    "| Cafe | Offers various foods including veg and non-veg options | Can include sandwiches, salads, and pastries. |\n",
    "| Cakes | Sweets, often veg | Can be made with a variety of flavors and ingredients. |\n",
    "| Chaat | Indian savory snacks, usually veg | Often includes chickpeas, potatoes, and spices. |\n",
    "| Chettinad | South Indian cuisine with both veg and non-veg dishes | Known for its use of spices. |\n",
    "| Chinese | Offers both veg and non-veg dishes | Can be very flavorful and aromatic. |\n",
    "| Coastal | Often includes seafood but can have veg options | Can be very fresh and flavorful. |\n",
    "| Combos | Mixed meal options, veg and non-veg | Can be a good way to try a variety of dishes. |\n",
    "| Continental | European cuisine, includes both veg and non-veg | Often includes pasta, risotto, and grilled meats. |\n",
    "| Cream | Can refer to various dishes, often veg | Can be used to add richness and flavor to dishes. |\n",
    "| Desserts | Sweets, usually veg | Can include cakes, pastries, and ice cream. |\n",
    "| Eastern | Broad term, includes both veg and non-veg dishes | Can be very flavorful and aromatic. |\n",
    "| European | Cuisine from Europe, offers both veg and non-veg | Often includes pasta, risotto, and grilled meats. |\n",
    "| Fast Food | Various quick meals, includes veg and non-veg | Can be a convenient option for a quick bite to eat. |\n",
    "| French | Cuisine from France, includes both veg and non-veg | Often includes pastries, cheese, and wine. |\n",
    "| German | Cuisine from Germany, includes both veg and non-veg | Often includes sausages, beer, and pretzels. |\n",
    "| Goan | Cuisine from Goa, includes both veg and non-veg | Often includes seafood and coconut. |\n",
    "| Greek | Cuisine from Greece, offers both veg and non-veg | Often includes grilled meats, seafood, and yogurt. |\n",
    "| Grill | Often includes both veg and non-veg grilled items | Can be a healthy option for a meal. |\n",
    "| Haleem | Dish with meat, often non-veg | Made with lentils, meat, and spices. |\n",
    "| Healthy | Various health-focused dishes, can include veg and non-veg | Can be a good\n",
    "|Keventers | A popular milkshake and dessert brand known for its milkshakes and dairy-based treats|\n",
    "| North Eastern | Cuisine from the northeastern regions of India, including states like Assam, Manipur, and Nagaland |\n",
    "|Bowl Company| A place offering meals served in bowls, often with a variety of ingredients like grains, veggies, and proteins |\n",
    "|Oriya | Cuisine from the Odisha state in India, known for its unique flavors and vegetarian and non-vegetarian dishes |\n",
    "|Rayalaseema | Cuisine from the Rayalaseema region in Andhra Pradesh,India, with a mix of vegetarian and non-vegetarian dishes|\n",
    "\n",
    "\n",
    "# Veg Options \n",
    "\n",
    "| Food Type | Veg | Notes |\n",
    "|---|---|---|\n",
    "| Ice cream | Usually | Can be made with dairy products. |\n",
    "| Paan | Often | Betel leaf preparations. |\n",
    "| Rajasthani | Many options | Cuisine from the Indian state of Rajasthan. |\n",
    "| Salads | Typically | Many different types available. |\n",
    "| Sweets | Typically | Many different types available from all over the world. |\n",
    "| Waffle | Can be made with either | There are many popular veg waffle recipes available. |\n",
    "| Chaat | Usually | Indian savory snacks. |\n",
    "| South Indian | Relatively high proportion | Cuisine from the southern part of India. |\n",
    "| Telangana | Relatively high proportion | Cuisine from the Indian state of Telangana. |\n",
    "| Gujarati | Many options | Cuisine from the Indian state of Gujarat. |\n",
    "| Jain | Many options | Cuisine that follows the Jain dietary restrictions. |\n",
    "| Maharashtrian | Many options | Cuisine from the Indian state of Maharashtra. |\n",
    "| Kerala | Many options | Cuisine from the Indian state of Kerala. |\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "2d8eb5cb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---------+-------------------------------------------+\n",
      "| city    |   num_restaurants_with_vegetarian_options |\n",
      "|---------+-------------------------------------------|\n",
      "| Chennai |                                       374 |\n",
      "+---------+-------------------------------------------+\n"
     ]
    }
   ],
   "source": [
    "# 2. Find the city with the highest number of restaurants that offer vegetarian food options.\n",
    "\n",
    "query2=\"\"\"\n",
    "SELECT\n",
    "    city,\n",
    "    COUNT(ID) AS num_restaurants_with_vegetarian_options\n",
    "FROM\n",
    "    swiggytable\n",
    "WHERE\n",
    "    city IS NOT NULL\n",
    "    AND (\n",
    "        Food_type LIKE '%Ice cream%' OR\n",
    "        Food_type LIKE '%Paan%' OR\n",
    "        Food_type LIKE '%Rajasthani%' OR\n",
    "        Food_type LIKE '%Salads%' OR\n",
    "        Food_type LIKE '%Sweets%' OR\n",
    "        Food_type LIKE '%Waffle%' OR\n",
    "        Food_type LIKE '%Chaat%' OR\n",
    "        Food_type LIKE '%South Indian%' OR\n",
    "        Food_type LIKE '%Telangana%' OR\n",
    "        Food_type LIKE '%Gujarati%' OR\n",
    "        Food_type LIKE '%Jain%' OR\n",
    "        Food_type LIKE '%Maharashtrian%' OR\n",
    "        Food_type LIKE '%Kerala%'\n",
    "    )\n",
    "GROUP BY\n",
    "    city\n",
    "ORDER BY\n",
    "    num_restaurants_with_vegetarian_options DESC\n",
    "LIMIT 1;\n",
    "\"\"\"\n",
    "cursor.execute(query2)\n",
    "\n",
    "# Fetch the records\n",
    "records = cursor.fetchall()\n",
    "\n",
    "# Define the headers for the columns\n",
    "headers =  [desc[0] for desc in cursor.description]\n",
    "\n",
    "# Print the records using tabulate\n",
    "print(tabulate(records, headers=headers, tablefmt=\"psql\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "16e3e329",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+-------------------------+\n",
      "| City      |   Average_Delivery_Time |\n",
      "|-----------+-------------------------|\n",
      "| Ahmedabad |                 44.7099 |\n",
      "| Bangalore |                 50.5296 |\n",
      "| Chennai   |                 58.9684 |\n",
      "| Delhi     |                 50.7349 |\n",
      "| Hyderabad |                 49.933  |\n",
      "| Kolkata   |                 67.8098 |\n",
      "| Mumbai    |                 48.3187 |\n",
      "| Pune      |                 55.8541 |\n",
      "| Surat     |                 48.4844 |\n",
      "+-----------+-------------------------+\n"
     ]
    }
   ],
   "source": [
    "# 3. Calculate the average delivery time for each food type across different cities. \n",
    "\n",
    "query3=\"Select City, avg(Delivery_time) as Average_Delivery_Time from swiggytable group by City order by City;\"\n",
    "cursor.execute(query3)\n",
    "\n",
    "# Fetch the records\n",
    "records = cursor.fetchall()\n",
    "\n",
    "# Define the headers for the columns\n",
    "headers =  [desc[0] for desc in cursor.description]\n",
    "\n",
    "# Print the records using tabulate\n",
    "print(tabulate(records, headers=headers, tablefmt=\"psql\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "f88cec85",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------------------------+-----------+-----------------+----------------+\n",
      "| Restaurant                     | City      |   Delivery_time |   City_average |\n",
      "|--------------------------------+-----------+-----------------+----------------|\n",
      "| Cake Corner                    | Ahmedabad |              79 |           78.5 |\n",
      "| Fire On Wheels                 | Ahmedabad |              47 |           42.5 |\n",
      "| The Blue Oven                  | Ahmedabad |              50 |           42.5 |\n",
      "| Vadilal Ice Creams             | Ahmedabad |              52 |           48   |\n",
      "| Chung Wah                      | Bangalore |              49 |           43.5 |\n",
      "| Hari Super Sandwich            | Bangalore |              42 |           36   |\n",
      "| Karnataka Bhel House           | Bangalore |              54 |           45.5 |\n",
      "| Punjabi Bowl                   | Bangalore |              53 |           49   |\n",
      "| Raffaele'S Ristorante Pizzeria | Bangalore |              61 |           60.5 |\n",
      "| Voosh Thalis & Bowls           | Bangalore |              55 |           53.5 |\n",
      "+--------------------------------+-----------+-----------------+----------------+\n"
     ]
    }
   ],
   "source": [
    "# 4. List the restaurants that have a delivery time greater than the average delivery time in their respective cities.\n",
    "\n",
    "query4=\"\"\" \n",
    "select Restaurant,City,Delivery_time,avg(Delivery_time) as City_average\n",
    "from swiggytable\n",
    "group by Restaurant,City\n",
    "having Delivery_time>City_average\n",
    "order by City,Restaurant\n",
    "limit 10;\n",
    "\"\"\"\n",
    "cursor.execute(query4)\n",
    "\n",
    "# Fetch the records\n",
    "records = cursor.fetchall()\n",
    "\n",
    "# Define the headers for the columns\n",
    "headers =  [desc[0] for desc in cursor.description]\n",
    "\n",
    "# Print the records using tabulate\n",
    "print(tabulate(records, headers=headers, tablefmt=\"psql\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "2d677b65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---------+-----------------+\n",
      "| Area    |   Total_ratings |\n",
      "|---------+-----------------|\n",
      "| Chintal |           10000 |\n",
      "+---------+-----------------+\n"
     ]
    }
   ],
   "source": [
    "# 5. Identify the area with the highest total ratings for restaurants serving Indian cuisine.\n",
    "\n",
    "query5=\"\"\" \n",
    "SELECT Area, Total_ratings\n",
    "FROM\n",
    "    swiggytable\n",
    "WHERE\n",
    "    Food_type LIKE '%India%'\n",
    "GROUP BY\n",
    "    Area\n",
    "ORDER BY\n",
    "    Total_ratings DESC\n",
    "LIMIT 1;\n",
    "\n",
    "\n",
    "\n",
    "\"\"\"\n",
    "cursor.execute(query5)\n",
    "\n",
    "# Fetch the records\n",
    "records = cursor.fetchall()\n",
    "\n",
    "# Define the headers for the columns\n",
    "headers =  [desc[0] for desc in cursor.description]\n",
    "\n",
    "# Print the records using tabulate\n",
    "print(tabulate(records, headers=headers, tablefmt=\"psql\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "2c3dc31c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+-----------------------------+---------------------------------------------+\n",
      "| City      |   Restaurants_offering_free | Percentage_of_rest_offering_free_delivery   |\n",
      "|-----------+-----------------------------+---------------------------------------------|\n",
      "| Ahmedabad |                           3 | 0.418%                                      |\n",
      "| Chennai   |                           1 | 0.090%                                      |\n",
      "| Surat     |                           1 | 0.195%                                      |\n",
      "+-----------+-----------------------------+---------------------------------------------+\n"
     ]
    }
   ],
   "source": [
    "# 6. Calculate the percentage of restaurants in each city that offer free delivery.\n",
    "\n",
    "query6= \"\"\"\n",
    "    SELECT \n",
    "        City,Count(*) as Restaurants_offering_free ,\n",
    "    Concat(Round(COUNT(*)*100/(SELECT COUNT(*) FROM swiggytable WHERE City = t.City),3),'%') \n",
    "    as Percentage_of_rest_offering_free_delivery \n",
    "    FROM swiggytable t \n",
    "    where Food_type \n",
    "    LIKE \"%Free%\" \n",
    "    OR Price = 0 \n",
    "    GROUP BY City;\n",
    "    \n",
    "    \"\"\"\n",
    "\n",
    "\n",
    "\n",
    "cursor.execute(query6)\n",
    "\n",
    "# Fetch the records\n",
    "records = cursor.fetchall()\n",
    "\n",
    "# Define the headers for the columns\n",
    "headers =  [desc[0] for desc in cursor.description]\n",
    "\n",
    "# Print the records using tabulate\n",
    "print(tabulate(records, headers=headers, tablefmt=\"psql\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "bfeb3de3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---------------------------------+-----------------------------------------------+-----------------+\n",
      "| Area                            | Food_type                                     |   Average_Price |\n",
      "|---------------------------------+-----------------------------------------------+-----------------|\n",
      "| A Unit Of M/S Cohort  Ruby Area | Asian,Indian,Tandoor,Tibetan,Chinese          |             300 |\n",
      "| Adajan                          | Chinese,Combo,Singaporean,Asian               |             200 |\n",
      "| Adajan                          | Chinese,Fast Food,Street Food,Pan-Asian,Asian |             200 |\n",
      "| Adajan                          | Chinese,Thai,Asian                            |             400 |\n",
      "| Adajan                          | Chinese,Thai,Pan-Asian,Asian,Oriental         |             400 |\n",
      "+---------------------------------+-----------------------------------------------+-----------------+\n"
     ]
    }
   ],
   "source": [
    "# 7. Determine the average price range for restaurants offering a specific food type in each area.\n",
    "# assuming ASIAN to be that specific foodtype\n",
    "\n",
    "query7 = \"\"\"\n",
    "SELECT\n",
    "    Area,\n",
    "    Food_type,\n",
    "    AVG(Price) AS Average_Price\n",
    "FROM\n",
    "    swiggytable\n",
    "WHERE\n",
    "    Food_type LIKE \"%asian%\"\n",
    "GROUP BY\n",
    "    Area, Food_type\n",
    "LIMIT 5;\n",
    "    \"\"\"\n",
    "\n",
    "cursor.execute(query7)\n",
    "\n",
    "# Fetch the records\n",
    "records = cursor.fetchall()\n",
    "\n",
    "# Define the headers for the columns\n",
    "headers =  [desc[0] for desc in cursor.description]\n",
    "\n",
    "# Print the records using tabulate\n",
    "print(tabulate(records, headers=headers, tablefmt=\"psql\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "be9121c5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------+-----------+-------------------------+---------------+-----------------+-------------------+\n",
      "|     ID | City      | Restaurant              |   Avg_ratings |   Total_ratings | Area              |\n",
      "|--------+-----------+-------------------------+---------------+-----------------+-------------------|\n",
      "| 431996 | Mumbai    | Cafe Kokomo             |             5 |              50 | Scruz Bandra East |\n",
      "|  13188 | Pune      | Shree Krishna Juice Bar |             5 |              20 | Shivajinagar      |\n",
      "|  50343 | Mumbai    | Snaxx                   |             5 |              20 | Bkc               |\n",
      "| 321807 | Bangalore | Creams & Bites          |             5 |              20 | Basavanagudi      |\n",
      "| 357553 | Mumbai    | Diamond Market Pizza Jp |             5 |              20 | Bandra East       |\n",
      "| 427280 | Mumbai    | Get In My Belly         |             5 |              20 | Chembur           |\n",
      "| 427282 | Mumbai    | The Asian Pavilion      |             5 |              20 | Chembur           |\n",
      "| 432094 | Kolkata   | Keventers Ice Creamery  |             5 |              20 | Esplanade         |\n",
      "| 438198 | Pune      | Papacream               |             5 |              20 | Kothrud           |\n",
      "| 441870 | Hyderabad | Wallonia Waffle Co.     |             5 |              20 | Himayath Nagar    |\n",
      "+--------+-----------+-------------------------+---------------+-----------------+-------------------+\n"
     ]
    }
   ],
   "source": [
    "# 8. Find the restaurant IDs that have both the highest average ratings and the highest total ratings. \n",
    "\n",
    "query8 = \"\"\"\n",
    "\n",
    "SELECT DISTINCT ID,City,Restaurant, Avg_ratings, Total_ratings,Area\n",
    "FROM swiggytable\n",
    "ORDER BY Avg_ratings DESC,Total_ratings DESC\n",
    "  LIMIT 10;\n",
    "\"\"\"\n",
    "\n",
    "cursor.execute(query8)\n",
    "\n",
    "# Fetch the records\n",
    "records = cursor.fetchall()\n",
    "\n",
    "headers =  [desc[0] for desc in cursor.description]\n",
    "# Print the records using tabulate\n",
    "print(tabulate(records, headers=headers, tablefmt=\"psql\"))\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "e69f8ff3",
   "metadata": {},
   "source": [
    "# Correlation\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "1a71b406",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correlation by Python is : 0.11363038630435687\n",
      "+----------------------+\n",
      "|   Correlation_By_SQL |\n",
      "|----------------------|\n",
      "|              0.11363 |\n",
      "+----------------------+\n",
      "The accuracy difference is clear\n"
     ]
    }
   ],
   "source": [
    "# 9. Calculate the correlation between restaurant prices and average ratings.\n",
    "print(f\"Correlation by Python is : {df['Price'].corr(df['Avg_ratings'])}\")\n",
    "\n",
    "\n",
    "query9 = \"\"\"\n",
    "\n",
    "SELECT\n",
    "    (N * Product - SUM_Price * SUM_Avg_ratings) /\n",
    "    SQRT((N * Price_Square - POW((SUM_Price),2)) * (N * Avg_ratings_Square -POW((SUM_Avg_ratings),2)) )\n",
    "    AS Correlation_By_SQL\n",
    "FROM (\n",
    "    SELECT\n",
    "        COUNT(*) AS N,\n",
    "        SUM(Price * Avg_ratings) AS Product,\n",
    "        SUM(Price) AS SUM_Price,\n",
    "        SUM(Avg_ratings) AS SUM_Avg_ratings,\n",
    "        SUM(Price * Price) AS Price_Square,\n",
    "        SUM(Avg_ratings * Avg_ratings) AS Avg_ratings_Square\n",
    "    FROM swiggytable\n",
    ") AS calculated_values;\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "cursor.execute(query9)\n",
    "\n",
    "# Fetch the records\n",
    "records = cursor.fetchall()\n",
    "\n",
    "headers =  [desc[0] for desc in cursor.description]\n",
    "# Print the records using tabulate\n",
    "print(tabulate(records, headers=headers, tablefmt=\"psql\"))\n",
    "print('The accuracy difference is clear')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb076ac7",
   "metadata": {},
   "source": [
    "# Standard Deviation\n",
    "\n",
    "\n",
    "## Difference between Population Standard Deviation and Sample Standard Deviation\n",
    "\n",
    "The population standard deviation and sample standard deviation are both measures of how spread out a set of data is. However, there is a key difference between the two: the population standard deviation is calculated using all of the data points in the population, while the sample standard deviation is calculated using a subset of the data points, called the sample.\n",
    "\n",
    "**Formulas**\n",
    "\n",
    "The formula for population standard deviation is:\n",
    "\n",
    "\n",
    "**<span style=\"color:blue\">σ = √∑(x - μ)^2/N</span>** \n",
    "\n",
    "\n",
    "where:\n",
    "\n",
    "* σ is the population standard deviation\n",
    "* x is a data point\n",
    "* μ is the population mean\n",
    "* N is the number of data points in the population\n",
    "\n",
    "The formula for sample standard deviation is:\n",
    "\n",
    "**<span style=\"color:blue\">s = √∑(x - x̄)^2/(n - 1)</span>** \n",
    "\n",
    "where:\n",
    "\n",
    "* s is the sample standard deviation\n",
    "* x is a data point\n",
    "* x̄ is the sample mean\n",
    "* n is the number of data points in the sample\n",
    "\n",
    "\n",
    "### Accuracy\n",
    "\n",
    "The <span style=\"color:blue\">population standard deviation</span> is more accurate than the <span style=\"color:blue\">sample standard deviation</span> because it is calculated using all of the data points in the population. However, the population standard deviation is not always available, as it may not be possible to collect data on all the members of a population. In these cases, the <span style=\"color:blue\">sample standard deviation</span> can be used as an estimate of the population standard deviation.\n",
    "\n",
    "### ddof \n",
    "\n",
    "\n",
    "|Parameter\t|ddof=0\t|ddof=1 |\n",
    "|---|---|---|\n",
    "|Description\t|Calculates the population standard deviation\t|Calculates the sample standard deviation|\n",
    "|Accuracy\t|More accurate\t|Less accurate|\n",
    "|Assumption\t|The population mean is known\t|The population mean is unknown|\n",
    "|Usefulness\t|Not often used\t|More often used|\n",
    "\n",
    "### MySQL vs Python\n",
    "\n",
    "* In MySQL the default degrees of freedom (ddof) is 0 meaning it calculates population standard deviation by default\n",
    "* In pandas the default degrees of freedom (ddof) is 1 meaning it calculates sample standard deviation by default\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "8cd2dbed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             Delivery_time\n",
      "Area                      \n",
      "Yousufguda             1.0\n",
      "Zamistanpur            2.0\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Delivery_time</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Area</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Yousufguda</th>\n",
       "      <td>1.414214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zamistanpur</th>\n",
       "      <td>2.828427</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Delivery_time\n",
       "Area                      \n",
       "Yousufguda        1.414214\n",
       "Zamistanpur       2.828427"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 10. List the areas where the distribution of delivery times has the highest standard deviation\n",
    "\n",
    "# First by Python\n",
    "\n",
    "# Group the data by 'Area'\n",
    "grouped= df.groupby('Area')['Delivery_time']\n",
    "\n",
    "# Calculate the standard deviation for each group\n",
    "pop_std_deviation = grouped.std(ddof=0)  # Use ddof=0 for population standard deviation \n",
    "sample_std_deviation = grouped.std(ddof=1)  # Use ddof=0 for population standard deviation \n",
    "\n",
    "print(pop_std_deviation.to_frame().tail(2))\n",
    "sample_std_deviation.to_frame().tail(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "bab2cce3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sort\n",
    "pop_sorted_std = pop_std_deviation.sort_values(ascending=False)\n",
    "sample_sorted_std = sample_std_deviation.sort_values(ascending=False)\n",
    "\n",
    "\n",
    "# Get the area with the highest standard deviation\n",
    "highest_std_area_pop = pop_sorted_std.index[0]\n",
    "highest_std_area_sample = sample_sorted_std.index[0]\n",
    "\n",
    "# Get value at index 0\n",
    "value_pop=pop_sorted_std.iloc[0]\n",
    "value_sample=sample_sorted_std.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "400b126e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The area with the highest population standard deviation of delivery times is: Kidderpore with standard deviation 20.0\n",
      "The area with the highest sample standard deviation of delivery times is: Kidderpore with standard deviation 28.284271247461902\n",
      "\n",
      "The sample population is 8.284271247461902 greater and less accurate than population stdeviation\n"
     ]
    }
   ],
   "source": [
    "# Print or display the result\n",
    "print(f\"The area with the highest population standard deviation of delivery times is: {highest_std_area_pop} with standard deviation {value_pop}\")\n",
    "print(f\"The area with the highest sample standard deviation of delivery times is: {highest_std_area_sample} with standard deviation {value_sample}\\n\")\n",
    "\n",
    "print(f'The sample population is {value_sample-value_pop} greater and less accurate than population stdeviation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "6d723b46",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------------+----------------------------------------+\n",
      "| Area       |   Sample_Standard_Deviation_By_Default |\n",
      "|------------+----------------------------------------|\n",
      "| Kidderpore |                                     20 |\n",
      "+------------+----------------------------------------+\n"
     ]
    }
   ],
   "source": [
    "# Now by SQL\n",
    "\n",
    "query10 = \"\"\"\n",
    "\n",
    "SELECT Area, STDDEV(Delivery_time) \n",
    "AS Sample_Standard_Deviation_By_Default \n",
    "FROM swiggytable\n",
    "GROUP BY Area\n",
    "ORDER BY Sample_Standard_Deviation_By_Default DESC\n",
    "LIMIT 1;\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "cursor.execute(query10)\n",
    "\n",
    "# Fetch the records\n",
    "records = cursor.fetchall()\n",
    "\n",
    "headers =  [desc[0] for desc in cursor.description]\n",
    "# Print the records using tabulate\n",
    "print(tabulate(records, headers=headers, tablefmt=\"psql\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "af54f0dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Close the cursor\n",
    "cursor.close()\n",
    "\n",
    "# Close the connection\n",
    "conn.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1aa58853",
   "metadata": {},
   "source": [
    "# New Dataset \n",
    "\n",
    "Loading new dataset and filling up below dataframe\n",
    "\n",
    "| Algorithm | Accuracy | Precision | Recall | F1 Score | AUC-ROC | LogLoss|\n",
    "|---|---|---|---|---|---|---|\n",
    "| Logistic Regression | \n",
    "| Random Forest |\n",
    "| SVM | \n",
    "| Gradient Boosting | \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "e6c0e29a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Marital status</th>\n",
       "      <th>Application mode</th>\n",
       "      <th>Application order</th>\n",
       "      <th>Course</th>\n",
       "      <th>Daytime/evening attendance\\t</th>\n",
       "      <th>Previous qualification</th>\n",
       "      <th>Previous qualification (grade)</th>\n",
       "      <th>Nacionality</th>\n",
       "      <th>Mother's qualification</th>\n",
       "      <th>Father's qualification</th>\n",
       "      <th>Mother's occupation</th>\n",
       "      <th>Father's occupation</th>\n",
       "      <th>Admission grade</th>\n",
       "      <th>Displaced</th>\n",
       "      <th>Educational special needs</th>\n",
       "      <th>Debtor</th>\n",
       "      <th>Tuition fees up to date</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Scholarship holder</th>\n",
       "      <th>Age at enrollment</th>\n",
       "      <th>International</th>\n",
       "      <th>Curricular units 1st sem (credited)</th>\n",
       "      <th>Curricular units 1st sem (enrolled)</th>\n",
       "      <th>Curricular units 1st sem (evaluations)</th>\n",
       "      <th>Curricular units 1st sem (approved)</th>\n",
       "      <th>Curricular units 1st sem (grade)</th>\n",
       "      <th>Curricular units 1st sem (without evaluations)</th>\n",
       "      <th>Curricular units 2nd sem (credited)</th>\n",
       "      <th>Curricular units 2nd sem (enrolled)</th>\n",
       "      <th>Curricular units 2nd sem (evaluations)</th>\n",
       "      <th>Curricular units 2nd sem (approved)</th>\n",
       "      <th>Curricular units 2nd sem (grade)</th>\n",
       "      <th>Curricular units 2nd sem (without evaluations)</th>\n",
       "      <th>Unemployment rate</th>\n",
       "      <th>Inflation rate</th>\n",
       "      <th>GDP</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>5</td>\n",
       "      <td>171</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>122.0</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>127.3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>10.8</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.74</td>\n",
       "      <td>Dropout</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>9254</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>160.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>142.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>13.666667</td>\n",
       "      <td>0</td>\n",
       "      <td>13.9</td>\n",
       "      <td>-0.3</td>\n",
       "      <td>0.79</td>\n",
       "      <td>Graduate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>9070</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>122.0</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>124.8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>10.8</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.74</td>\n",
       "      <td>Dropout</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>9773</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>122.0</td>\n",
       "      <td>1</td>\n",
       "      <td>38</td>\n",
       "      <td>37</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>119.6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>13.428571</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>12.400000</td>\n",
       "      <td>0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>-0.8</td>\n",
       "      <td>-3.12</td>\n",
       "      <td>Graduate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>8014</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>38</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>141.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>12.333333</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>13.9</td>\n",
       "      <td>-0.3</td>\n",
       "      <td>0.79</td>\n",
       "      <td>Graduate</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Marital status  Application mode  Application order  Course  \\\n",
       "0               1                17                  5     171   \n",
       "1               1                15                  1    9254   \n",
       "2               1                 1                  5    9070   \n",
       "3               1                17                  2    9773   \n",
       "4               2                39                  1    8014   \n",
       "\n",
       "   Daytime/evening attendance\\t  Previous qualification  \\\n",
       "0                             1                       1   \n",
       "1                             1                       1   \n",
       "2                             1                       1   \n",
       "3                             1                       1   \n",
       "4                             0                       1   \n",
       "\n",
       "   Previous qualification (grade)  Nacionality  Mother's qualification  \\\n",
       "0                           122.0            1                      19   \n",
       "1                           160.0            1                       1   \n",
       "2                           122.0            1                      37   \n",
       "3                           122.0            1                      38   \n",
       "4                           100.0            1                      37   \n",
       "\n",
       "   Father's qualification  Mother's occupation  Father's occupation  \\\n",
       "0                      12                    5                    9   \n",
       "1                       3                    3                    3   \n",
       "2                      37                    9                    9   \n",
       "3                      37                    5                    3   \n",
       "4                      38                    9                    9   \n",
       "\n",
       "   Admission grade  Displaced  Educational special needs  Debtor  \\\n",
       "0            127.3          1                          0       0   \n",
       "1            142.5          1                          0       0   \n",
       "2            124.8          1                          0       0   \n",
       "3            119.6          1                          0       0   \n",
       "4            141.5          0                          0       0   \n",
       "\n",
       "   Tuition fees up to date  Gender  Scholarship holder  Age at enrollment  \\\n",
       "0                        1       1                   0                 20   \n",
       "1                        0       1                   0                 19   \n",
       "2                        0       1                   0                 19   \n",
       "3                        1       0                   0                 20   \n",
       "4                        1       0                   0                 45   \n",
       "\n",
       "   International  Curricular units 1st sem (credited)  \\\n",
       "0              0                                    0   \n",
       "1              0                                    0   \n",
       "2              0                                    0   \n",
       "3              0                                    0   \n",
       "4              0                                    0   \n",
       "\n",
       "   Curricular units 1st sem (enrolled)  \\\n",
       "0                                    0   \n",
       "1                                    6   \n",
       "2                                    6   \n",
       "3                                    6   \n",
       "4                                    6   \n",
       "\n",
       "   Curricular units 1st sem (evaluations)  \\\n",
       "0                                       0   \n",
       "1                                       6   \n",
       "2                                       0   \n",
       "3                                       8   \n",
       "4                                       9   \n",
       "\n",
       "   Curricular units 1st sem (approved)  Curricular units 1st sem (grade)  \\\n",
       "0                                    0                          0.000000   \n",
       "1                                    6                         14.000000   \n",
       "2                                    0                          0.000000   \n",
       "3                                    6                         13.428571   \n",
       "4                                    5                         12.333333   \n",
       "\n",
       "   Curricular units 1st sem (without evaluations)  \\\n",
       "0                                               0   \n",
       "1                                               0   \n",
       "2                                               0   \n",
       "3                                               0   \n",
       "4                                               0   \n",
       "\n",
       "   Curricular units 2nd sem (credited)  Curricular units 2nd sem (enrolled)  \\\n",
       "0                                    0                                    0   \n",
       "1                                    0                                    6   \n",
       "2                                    0                                    6   \n",
       "3                                    0                                    6   \n",
       "4                                    0                                    6   \n",
       "\n",
       "   Curricular units 2nd sem (evaluations)  \\\n",
       "0                                       0   \n",
       "1                                       6   \n",
       "2                                       0   \n",
       "3                                      10   \n",
       "4                                       6   \n",
       "\n",
       "   Curricular units 2nd sem (approved)  Curricular units 2nd sem (grade)  \\\n",
       "0                                    0                          0.000000   \n",
       "1                                    6                         13.666667   \n",
       "2                                    0                          0.000000   \n",
       "3                                    5                         12.400000   \n",
       "4                                    6                         13.000000   \n",
       "\n",
       "   Curricular units 2nd sem (without evaluations)  Unemployment rate  \\\n",
       "0                                               0               10.8   \n",
       "1                                               0               13.9   \n",
       "2                                               0               10.8   \n",
       "3                                               0                9.4   \n",
       "4                                               0               13.9   \n",
       "\n",
       "   Inflation rate   GDP    Target  \n",
       "0             1.4  1.74   Dropout  \n",
       "1            -0.3  0.79  Graduate  \n",
       "2             1.4  1.74   Dropout  \n",
       "3            -0.8 -3.12  Graduate  \n",
       "4            -0.3  0.79  Graduate  "
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF=pd.read_csv('Student_dropout.csv',sep=';')\n",
    "DF.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "8a8c703a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4424, 37)"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "023132d6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4424 entries, 0 to 4423\n",
      "Data columns (total 37 columns):\n",
      " #   Column                                          Non-Null Count  Dtype  \n",
      "---  ------                                          --------------  -----  \n",
      " 0   Marital status                                  4424 non-null   int64  \n",
      " 1   Application mode                                4424 non-null   int64  \n",
      " 2   Application order                               4424 non-null   int64  \n",
      " 3   Course                                          4424 non-null   int64  \n",
      " 4   Daytime/evening attendance\t                     4424 non-null   int64  \n",
      " 5   Previous qualification                          4424 non-null   int64  \n",
      " 6   Previous qualification (grade)                  4424 non-null   float64\n",
      " 7   Nacionality                                     4424 non-null   int64  \n",
      " 8   Mother's qualification                          4424 non-null   int64  \n",
      " 9   Father's qualification                          4424 non-null   int64  \n",
      " 10  Mother's occupation                             4424 non-null   int64  \n",
      " 11  Father's occupation                             4424 non-null   int64  \n",
      " 12  Admission grade                                 4424 non-null   float64\n",
      " 13  Displaced                                       4424 non-null   int64  \n",
      " 14  Educational special needs                       4424 non-null   int64  \n",
      " 15  Debtor                                          4424 non-null   int64  \n",
      " 16  Tuition fees up to date                         4424 non-null   int64  \n",
      " 17  Gender                                          4424 non-null   int64  \n",
      " 18  Scholarship holder                              4424 non-null   int64  \n",
      " 19  Age at enrollment                               4424 non-null   int64  \n",
      " 20  International                                   4424 non-null   int64  \n",
      " 21  Curricular units 1st sem (credited)             4424 non-null   int64  \n",
      " 22  Curricular units 1st sem (enrolled)             4424 non-null   int64  \n",
      " 23  Curricular units 1st sem (evaluations)          4424 non-null   int64  \n",
      " 24  Curricular units 1st sem (approved)             4424 non-null   int64  \n",
      " 25  Curricular units 1st sem (grade)                4424 non-null   float64\n",
      " 26  Curricular units 1st sem (without evaluations)  4424 non-null   int64  \n",
      " 27  Curricular units 2nd sem (credited)             4424 non-null   int64  \n",
      " 28  Curricular units 2nd sem (enrolled)             4424 non-null   int64  \n",
      " 29  Curricular units 2nd sem (evaluations)          4424 non-null   int64  \n",
      " 30  Curricular units 2nd sem (approved)             4424 non-null   int64  \n",
      " 31  Curricular units 2nd sem (grade)                4424 non-null   float64\n",
      " 32  Curricular units 2nd sem (without evaluations)  4424 non-null   int64  \n",
      " 33  Unemployment rate                               4424 non-null   float64\n",
      " 34  Inflation rate                                  4424 non-null   float64\n",
      " 35  GDP                                             4424 non-null   float64\n",
      " 36  Target                                          4424 non-null   object \n",
      "dtypes: float64(7), int64(29), object(1)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "DF.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "3626fbee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "int64      29\n",
      "float64     7\n",
      "object      1\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "DF_dtype_counts = DF.dtypes.value_counts()\n",
    "\n",
    "print(DF_dtype_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "738603a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Marital status                                    0\n",
       "Application mode                                  0\n",
       "Application order                                 0\n",
       "Course                                            0\n",
       "Daytime/evening attendance\\t                      0\n",
       "Previous qualification                            0\n",
       "Previous qualification (grade)                    0\n",
       "Nacionality                                       0\n",
       "Mother's qualification                            0\n",
       "Father's qualification                            0\n",
       "Mother's occupation                               0\n",
       "Father's occupation                               0\n",
       "Admission grade                                   0\n",
       "Displaced                                         0\n",
       "Educational special needs                         0\n",
       "Debtor                                            0\n",
       "Tuition fees up to date                           0\n",
       "Gender                                            0\n",
       "Scholarship holder                                0\n",
       "Age at enrollment                                 0\n",
       "International                                     0\n",
       "Curricular units 1st sem (credited)               0\n",
       "Curricular units 1st sem (enrolled)               0\n",
       "Curricular units 1st sem (evaluations)            0\n",
       "Curricular units 1st sem (approved)               0\n",
       "Curricular units 1st sem (grade)                  0\n",
       "Curricular units 1st sem (without evaluations)    0\n",
       "Curricular units 2nd sem (credited)               0\n",
       "Curricular units 2nd sem (enrolled)               0\n",
       "Curricular units 2nd sem (evaluations)            0\n",
       "Curricular units 2nd sem (approved)               0\n",
       "Curricular units 2nd sem (grade)                  0\n",
       "Curricular units 2nd sem (without evaluations)    0\n",
       "Unemployment rate                                 0\n",
       "Inflation rate                                    0\n",
       "GDP                                               0\n",
       "Target                                            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "f4d10145",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import cross_val_predict, cross_val_score\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score, log_loss\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.multiclass import OneVsRestClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "af4b7a7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split the DFset into features and target\n",
    "X = DF.drop('Target', axis=1)\n",
    "y = DF['Target']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "e1978fe9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Dropout', 'Graduate', 'Enrolled'], dtype=object)"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7cf2779d",
   "metadata": {},
   "source": [
    "\n",
    "### <span style=\"color:green\">Precision</span>  \n",
    "is about how accurate your model is. It measures how many of the positive predictions your model made were actually correct. For example, if your model predicts that 100 emails are spam, and 90 of those emails are actually spam, then your precision is 0.9.\n",
    "\n",
    "### <span style=\"color:green\">Recall</span> \n",
    "is about how complete your model is. It measures how many of the actual positive instances your model predicted as positive. For example, if there are 100 actual spam emails, and your model predicts that 90 of them are spam, then your recall is 0.9.\n",
    "\n",
    "### <span style=\"color:green\">F1 score</span>  \n",
    "is a measure of the overall accuracy of your model. It is a combination of precision and recall. A high F1 score indicates that your model is both accurate and complete.\n",
    "\n",
    "In general, a higher value of precision indicates that the classifier is good at avoiding false positives, while a higher value of recall indicates that the classifier is good at avoiding false negatives. The F1 score is a trade-off between precision and recall.\n",
    "\n",
    "### Some examples\n",
    "\n",
    "\n",
    "| Application              | Metric       | Why?                                                                                                      |\n",
    "|-------------------------|--------------|-----------------------------------------------------------------------------------------------------------|\n",
    "| Fraud detection         | Precision    | False positives in fraud detection can lead to innocent people being penalized.                         |\n",
    "| Medical diagnosis       | Recall       | False negatives in medical diagnosis can lead to patients not receiving the treatment they need.         |\n",
    "| Image classification   | Both precision and recall | Both precision and recall are important in image classification, as it's crucial to identify objects correctly and avoid false positives and false negatives.  |\n",
    "| Natural language processing | Both precision and recall | Both precision and recall are crucial in natural language processing to accurately understand text and minimize both false positives and false negatives. |\n",
    "| Speech recognition     | Both precision and recall | Both precision and recall are vital in speech recognition to transcribe speech accurately and minimize false positives and false negatives. |\n",
    "| Machine translation    | Both precision and recall | Both precision and recall are essential in machine translation to accurately translate text and minimize false positives and false negatives. |\n",
    "| Recommendation systems | Precision    | Precision is often preferred in recommendation systems to avoid suggesting irrelevant products or services. |\n",
    "| Targeted advertising   | Precision    | Precision is often favored in targeted advertising to avoid displaying ads to disinterested individuals. |\n",
    "| Search engines         | Both precision and recall | Both precision and recall are important in search engines to provide relevant results and minimize false positives and false negatives. |\n",
    "| Social media filtering | Precision    | Precision is often favored in social media filtering to avoid removing content that might not be harmful. |\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "id": "1adb0c1a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.7656\n",
      "Precision: 0.7065\n",
      "Recall: 0.6694\n",
      "F1-Score: 0.6773\n",
      "AUC-ROC: 0.8822\n",
      "Log Loss: 0.5747\n"
     ]
    }
   ],
   "source": [
    "# Initialize the Logistic Regression model\n",
    "model = make_pipeline(StandardScaler(), LogisticRegression())\n",
    "\n",
    "# Perform k-fold cross-validation\n",
    "scores = cross_val_score(model, X, y, cv=5, scoring='accuracy')\n",
    "y_pred = cross_val_predict(model, X, y, cv=5)\n",
    "\n",
    "# Calculate evaluation metrics\n",
    "\n",
    "# In this code, we use the 'macro' averaging method for precision, recall, and F1-score, as well as 'ovo' (one-vs-one) strategy for the multiclass AUC-ROC calculation.\n",
    "# This way, we can handle multiclass classification while obtaining meaningful evaluation metrics.\n",
    "\n",
    "accuracy = np.mean(scores)\n",
    "precision = precision_score(y, y_pred, average='macro')\n",
    "recall = recall_score(y, y_pred, average='macro')\n",
    "f1 = f1_score(y, y_pred, average='macro')\n",
    "\n",
    "#  Calculate ROC-AUC using One-vs-Rest strategy\n",
    "y_probabilities = cross_val_predict(model, X, y, cv=5, method='predict_proba')\n",
    "# 'macro' means that the ROC-AUC scores for each class are calculated independently,  and then their unweighted mean is taken. Each class contributes equally to the final score, \n",
    "# regardless of the class's frequency or imbalance.\n",
    "roc_auc = roc_auc_score(y, y_probabilities, average='macro', multi_class='ovr')\n",
    "\n",
    "# Calculate log loss\n",
    "logloss = -np.mean(cross_val_score(model, X, y, cv=5, scoring='neg_log_loss'))\n",
    "\n",
    "print(f\"Accuracy: {accuracy:.4f}\")\n",
    "print(f\"Precision: {precision:.4f}\")\n",
    "print(f\"Recall: {recall:.4f}\")\n",
    "print(f\"F1-Score: {f1:.4f}\")\n",
    "print(f\"AUC-ROC: {roc_auc:.4f}\")\n",
    "print(f\"Log Loss: {logloss:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "id": "22bea7dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "score for each fold is [0.77514124 0.76158192 0.77966102 0.76271186 0.74886878] (total 5 folds)\n",
      "\n",
      " Predictions = ['Dropout' 'Dropout' 'Dropout' ... 'Dropout' 'Graduate' 'Graduate'] ,\t Total predictions =4424\n",
      "\n",
      "Probabilities of predictions [[4.83521158e-01 2.11227116e-01 3.05251726e-01]\n",
      " [4.70027256e-01 1.01149165e-01 4.28823579e-01]\n",
      " [9.96872081e-01 3.11424106e-03 1.36776560e-05]\n",
      " ...\n",
      " [8.64869482e-01 9.69744027e-02 3.81561151e-02]\n",
      " [2.14318878e-02 3.53454191e-02 9.43222693e-01]\n",
      " [9.52261763e-03 2.68235967e-02 9.63653786e-01]]\n",
      "\n",
      " Total Prob of preds = 4424\t  & thier Range = 3.7568390601827354e-07 to 0.9993285821828174\n",
      "\n",
      " accuracy = 0.7655929646956567 \n",
      " precision = 0.7065259969304899\n",
      " recall = 0.6694465067647061\n",
      " f1 =0.6773452215277068\n",
      "\n",
      " roc score = 0.8821689545311527 \t logloss = 0.5747266403967904\n"
     ]
    }
   ],
   "source": [
    "print(f\"score for each fold is {scores} (total 5 folds)\\\n",
    "\\n\\n Predictions = {y_pred} ,\\t Total predictions ={len(y_pred)}\\\n",
    "\\n\\nProbabilities of predictions {y_probabilities}\\\n",
    "\\n\\n Total Prob of preds = {len(y_probabilities)}\\t  & thier Range = {np.amin(y_probabilities)} to {np.amax(y_probabilities)}\\\n",
    "\\n\\n accuracy = {accuracy} \\n precision = {precision}\\n recall = {recall}\\n f1 ={f1}\\\n",
    "\\n\\n roc score = {roc_auc} \\t logloss = {logloss}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "97db0f28",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SVM Classifier Metrics:\n",
      "Accuracy: 0.7656\n",
      "Precision: 0.7168\n",
      "Recall: 0.6683\n",
      "F1-Score: 0.6798\n",
      "AUC-ROC: 0.8765\n",
      "Log Loss: 0.5873\n"
     ]
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "\n",
    "# Initialize the SVM model with probability=True\n",
    "svm_model = make_pipeline(StandardScaler(), SVC(probability=True))\n",
    "\n",
    "# Perform k-fold cross-validation\n",
    "svm_scores = cross_val_score(svm_model, X, y, cv=5, scoring='accuracy')\n",
    "svm_y_pred = cross_val_predict(svm_model, X, y, cv=5)\n",
    "\n",
    "# Calculate evaluation metrics\n",
    "svm_accuracy = np.mean(svm_scores)\n",
    "svm_precision = precision_score(y, svm_y_pred, average='macro')\n",
    "svm_recall = recall_score(y, svm_y_pred, average='macro')\n",
    "svm_f1 = f1_score(y, svm_y_pred, average='macro')\n",
    "\n",
    "# Calculate ROC-AUC using One-vs-Rest strategy and predicted probabilities\n",
    "svm_y_probabilities = cross_val_predict(svm_model, X, y, cv=5, method='predict_proba')\n",
    "svm_roc_auc = roc_auc_score(y, svm_y_probabilities, average='macro', multi_class='ovr')\n",
    "\n",
    "# Calculate log loss\n",
    "svm_logloss = -np.mean(cross_val_score(svm_model, X, y, cv=5, scoring='neg_log_loss'))\n",
    "\n",
    "print(\"SVM Classifier Metrics:\")\n",
    "print(f\"Accuracy: {svm_accuracy:.4f}\")\n",
    "print(f\"Precision: {svm_precision:.4f}\")\n",
    "print(f\"Recall: {svm_recall:.4f}\")\n",
    "print(f\"F1-Score: {svm_f1:.4f}\")\n",
    "print(f\"AUC-ROC: {svm_roc_auc:.4f}\")\n",
    "print(f\"Log Loss: {svm_logloss:.4f}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "a6e2596d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gradient Boosting Classifier Metrics:\n",
      "Accuracy: 0.7780\n",
      "Precision: 0.7297\n",
      "Recall: 0.6943\n",
      "F1-Score: 0.7050\n",
      "AUC-ROC: 0.8950\n",
      "Log Loss: 0.5476\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "\n",
    "# Initialize the Gradient Boosting model\n",
    "gb_model = GradientBoostingClassifier()\n",
    "\n",
    "# Perform k-fold cross-validation\n",
    "gb_scores = cross_val_score(gb_model, X, y, cv=5, scoring='accuracy')\n",
    "gb_y_pred = cross_val_predict(gb_model, X, y, cv=5)\n",
    "\n",
    "# Calculate evaluation metrics\n",
    "gb_accuracy = np.mean(gb_scores)\n",
    "gb_precision = precision_score(y, gb_y_pred, average='macro')\n",
    "gb_recall = recall_score(y, gb_y_pred, average='macro')\n",
    "gb_f1 = f1_score(y, gb_y_pred, average='macro')\n",
    "\n",
    "# Calculate ROC-AUC using One-vs-Rest strategy\n",
    "gb_y_probabilities = cross_val_predict(gb_model, X, y, cv=5, method='predict_proba')\n",
    "gb_roc_auc = roc_auc_score(y, gb_y_probabilities, average='macro', multi_class='ovr')\n",
    "\n",
    "# Calculate log loss\n",
    "gb_logloss = -np.mean(cross_val_score(gb_model, X, y, cv=5, scoring='neg_log_loss'))\n",
    "\n",
    "print(\"Gradient Boosting Classifier Metrics:\")\n",
    "print(f\"Accuracy: {gb_accuracy:.4f}\")\n",
    "print(f\"Precision: {gb_precision:.4f}\")\n",
    "print(f\"Recall: {gb_recall:.4f}\")\n",
    "print(f\"F1-Score: {gb_f1:.4f}\")\n",
    "print(f\"AUC-ROC: {gb_roc_auc:.4f}\")\n",
    "print(f\"Log Loss: {gb_logloss:.4f}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "22ee5548",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random Forest Classifier Metrics:\n",
      "Accuracy: 0.7749\n",
      "Precision: 0.7254\n",
      "Recall: 0.6821\n",
      "F1-Score: 0.6928\n",
      "AUC-ROC: 0.8840\n",
      "Log Loss: 0.6050\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "# Initialize the Random Forest model\n",
    "rf_model = RandomForestClassifier()\n",
    "\n",
    "# Perform k-fold cross-validation\n",
    "rf_scores = cross_val_score(rf_model, X, y, cv=5, scoring='accuracy')\n",
    "rf_y_pred = cross_val_predict(rf_model, X, y, cv=5)\n",
    "\n",
    "# Calculate evaluation metrics\n",
    "rf_accuracy = np.mean(rf_scores)\n",
    "rf_precision = precision_score(y, rf_y_pred, average='macro')\n",
    "rf_recall = recall_score(y, rf_y_pred, average='macro')\n",
    "rf_f1 = f1_score(y, rf_y_pred, average='macro')\n",
    "\n",
    "# Calculate ROC-AUC using One-vs-Rest strategy\n",
    "rf_y_probabilities = cross_val_predict(rf_model, X, y, cv=5, method='predict_proba')\n",
    "rf_roc_auc = roc_auc_score(y, rf_y_probabilities, average='macro', multi_class='ovr')\n",
    "\n",
    "# Calculate log loss\n",
    "rf_logloss = -np.mean(cross_val_score(rf_model, X, y, cv=5, scoring='neg_log_loss'))\n",
    "\n",
    "print(\"Random Forest Classifier Metrics:\")\n",
    "print(f\"Accuracy: {rf_accuracy:.4f}\")\n",
    "print(f\"Precision: {rf_precision:.4f}\")\n",
    "print(f\"Recall: {rf_recall:.4f}\")\n",
    "print(f\"F1-Score: {rf_f1:.4f}\")\n",
    "print(f\"AUC-ROC: {rf_roc_auc:.4f}\")\n",
    "print(f\"Log Loss: {rf_logloss:.4f}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd9c97b2",
   "metadata": {},
   "source": [
    "## Learnings\n",
    "\n",
    "---\n",
    "### ROC-AUC Averaging Strategies\n",
    "\n",
    "- <span style=\"color:blue\">**average='macro':**</span>\n",
    "  The ROC-AUC scores for each class are calculated independently, and then their unweighted mean (ex=> 1+2+3/3) is taken. Each class contributes equally to the final score, regardless of the class's frequency or imbalance.\n",
    "- <span style=\"color:blue\">**average='micro':**</span> \n",
    "    If you use 'micro' averaging, the ROC-AUC scores are calculated globally by considering all the true positives, false positives, true negatives, and false negatives together.\n",
    "- <span style=\"color:blue\">**average='weighted':**</span>\n",
    "    If you use 'weighted' averaging, the ROC-AUC scores are weighted by the number of samples in each class.\n",
    "\n",
    "\n",
    "### Choose what? \n",
    "\n",
    "  - Choose <span style=\"color:#3fba02\">macro</span> if you want to give equal importance to every class's performance and provide a balanced evaluation across all classes.\n",
    "  - Choose <span style=\"color:#3fba02\">micro</span> when overall performance across all classes is critical, especially in the presence of class imbalances.\n",
    "  - Choose <span style=\"color:#3fba02\">weighted</span> when you want to consider class distribution and give more weight to larger or more important classes.\n",
    "\n",
    "### Multiclass Strategy Options\n",
    "\n",
    "-<span style=\"color:blue\">**multi_class parameter:OVR**</span>\n",
    "\n",
    "  - In the OvR strategy, you build a binary classifier for each class against all the other classes combined.\n",
    "  - For example, if you have 5 classes (A, B, C, D, E), you would train classifiers for:\n",
    "    - Classifier for Class A vs. Classes (B, C, D, E)\n",
    "    - Classifier for Class B vs. Classes (A, C, D, E)\n",
    "    - Classifier for Class C vs. Classes (A, B, D, E)\n",
    "    - Classifier for Class D vs. Classes (A, B, C, E)\n",
    "    - Classifier for Class E vs. Classes (A, B, C, D)\n",
    "  - The class with the highest \"confidence\" or probability is predicted by each classifier, and then the class with the most \"votes\" across all classifiers is chosen as the final prediction.\n",
    "\n",
    "-<span style=\"color:blue\">**multi_class parameter:OVO**</span>\n",
    "  \n",
    "  - In the OvO strategy, you build a binary classifier for every pair of classes.\n",
    "  - For example, if you have 5 classes (A, B, C, D, E), you would train classifiers for AB, AC, AD, AE, BC, BD, BE, CD, CE, and DE.\n",
    "  - Each binary classifier decides between two classes, and the class with the most \"votes\" across all classifiers is chosen as the final prediction.\n",
    "\n",
    "### Choose what?\n",
    "\n",
    " - Choose <span style=\"color:#3fba02\">OVR</span> when you have a large number of classes and computational efficiency matters. It simplifies the problem but might result in imbalanced binary classification problems. This is a common and practical strategy.\n",
    "  \n",
    "\n",
    "- Choose <span style=\"color:#3fba02\">OVO</span> when you have a moderate number of classes and you want to evaluate each class's pairwise performance. It provides a more fine-grained evaluation but requires more models to be trained.\n",
    "  \n",
    "### Log Loss (Logarithmic Loss):\n",
    "\n",
    "- Log loss, also known as logarithmic loss or cross-entropy loss, is a widely used evaluation metric for classification problems. It quantifies how well a classifier's predicted probabilities match the actual class labels. In simple terms, it measures how confident and accurate the model's predictions are.\n",
    "\n",
    "- In machine learning, the goal is to minimize log loss. A model with low log loss is making confident and accurate predictions, while a model with high log loss is less reliable.\n",
    "\n",
    "- Remember that log loss is commonly used for evaluation and not something you directly optimize when training a model. It's a way to assess how well your classifier's probabilities align with the real-world classes it's trying to predict.\n",
    "\n",
    "---\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "id": "7fb6fe4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Algorithm</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Precision</th>\n",
       "      <th>Recall</th>\n",
       "      <th>F1 Score</th>\n",
       "      <th>AUC-ROC</th>\n",
       "      <th>Log Loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Logistic Regression</td>\n",
       "      <td>76.56%</td>\n",
       "      <td>70.65%</td>\n",
       "      <td>66.94%</td>\n",
       "      <td>67.73%</td>\n",
       "      <td>88.22%</td>\n",
       "      <td>0.575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Random Forest</td>\n",
       "      <td>77.49%</td>\n",
       "      <td>72.54%</td>\n",
       "      <td>68.21%</td>\n",
       "      <td>69.28%</td>\n",
       "      <td>88.40%</td>\n",
       "      <td>0.605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SVM</td>\n",
       "      <td>76.56%</td>\n",
       "      <td>71.68%</td>\n",
       "      <td>66.83%</td>\n",
       "      <td>67.98%</td>\n",
       "      <td>87.65%</td>\n",
       "      <td>0.587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gradient Boosting</td>\n",
       "      <td>77.80%</td>\n",
       "      <td>72.97%</td>\n",
       "      <td>69.43%</td>\n",
       "      <td>70.50%</td>\n",
       "      <td>89.50%</td>\n",
       "      <td>0.548</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Algorithm Accuracy Precision  Recall F1 Score AUC-ROC Log Loss\n",
       "0  Logistic Regression   76.56%    70.65%  66.94%   67.73%  88.22%    0.575\n",
       "1        Random Forest   77.49%    72.54%  68.21%   69.28%  88.40%    0.605\n",
       "2                  SVM   76.56%    71.68%  66.83%   67.98%  87.65%    0.587\n",
       "3    Gradient Boosting   77.80%    72.97%  69.43%   70.50%  89.50%    0.548"
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = {\n",
    "    'Algorithm': ['Logistic Regression', 'Random Forest', 'SVM', 'Gradient Boosting'],\n",
    "    'Accuracy': [f'{accuracy:.2%}', f'{rf_accuracy:.2%}', f'{svm_accuracy:.2%}', f'{gb_accuracy:.2%}'],\n",
    "    'Precision': [f'{precision:.2%}', f'{rf_precision:.2%}', f'{svm_precision:.2%}', f'{gb_precision:.2%}'],\n",
    "    'Recall': [f'{recall:.2%}', f'{rf_recall:.2%}', f'{svm_recall:.2%}', f'{gb_recall:.2%}'],\n",
    "    'F1 Score': [f'{f1:.2%}', f'{rf_f1:.2%}', f'{svm_f1:.2%}', f'{gb_f1:.2%}'],\n",
    "    'AUC-ROC': [f'{roc_auc:.2%}', f'{rf_roc_auc:.2%}', f'{svm_roc_auc:.2%}', f'{gb_roc_auc:.2%}'],\n",
    "    'Log Loss': [f'{logloss:.3f}', f'{rf_logloss:.3f}', f'{svm_logloss:.3f}', f'{gb_logloss:.3f}']\n",
    "}\n",
    "\n",
    "\n",
    "df = pd.DataFrame(data)\n",
    "df.head(10)"
   ]
  }
 ],
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