| body |
{"product": {"rating": 5.0, "rating_count": 2, "brand": "Now", "name": "Now St. John's Wort (300mg) 100 vcaps", "description": "St. John's Wort (300mg) Description from Now\nMood imbalances, even in the most modest sense, can keep us from functioning at our best. St. John's Wort, a perennial extract that blooms from June to September has been shown to help balance mood, encourage feelings of calmness, and even support healthy sleeping patterns. Hypercin, one of the active pigments in St. John's Wort has the ability to naturally support our brain's serotonin production. As a result, it may be beneficial in providing the balance needed to maintain a positive mood naturally without side effects.", "data": {"dataFacets": []}, "categories": ["John's Wort"], "gender": "Unisex", "product_images": [], "market_id": 116, "remote_code": "now-st_johns_wort_300mg", "is_lost": 0, "variants": [{"remote_code": "14315", "name": "Now St. John's Wort (300mg) 100 vcaps", "upc": "733739047601", "additional_image_base64": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAZABkAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCADDB4ADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmySJDG0kjKiKCzMxwAB1JNOrgP2gNM0jWvgd490/X7nULPRLvRLuC9uNJiaW6ihaJldokUEuwBJCgHPTBzQBe8K/GX4f+OtXl0rw3458N+IdUiBMljpWr29zOgHUlEcsMd+K7GvzI/Yw8a6b4a/aH8C/D/wAGL4L+K3h2LS7mKXxnpHgqXRNY0OOOBtgupWUBvNKqjZJZmbLHON3EH9pfxbpHwP8ADfgzUPHXi2D4oWfxejtNVjmvb0XUWnGRwIZZif8AUtlQIy2GwcKQpwAfrdRX5SfGb40ajpPxW/aotdW+LXxA8O6jotzZr4I0vRtQu/skl80LkQAIrKAzBB5WVVlZ2wxXK9B44+MGvw/tC+CrD4wfEfxt8OdFufhDZapr0Hhu8ubZINUaVg8jxwqwhffxuCg7gke7DbSAfoV4v+LvhLwH4w8IeFtd1b7Dr3i2aa30W0+zTSfapIlVpBvRCqYDqcuVBzxmuxr8t/h/4t8d+N9Z/YV1f4iPeXGvzax4hEd3qKFLm6tQkQgllB5LFAPmPLAK2TuyeQ8K/Hf43XHxLRtc8dXPhv4kweL/ACbnw5rOuXi2stn5gT7JHo8dk0ZjZSNtwshP8WR1AB+u9Ffk38avHfxI0/T/ANqzx1pvxW8a6XceAPGdhDoelWuruLGNZrpYnR4mzuj2sMR5CZHKnNejN42+L/wv+J/x18HeEvGXibx7qsPw6tvE2mRa3KL6aHUHaJZXto9u1RtkkZYVXbkKNpwBQB+j1FfmV+xh8XvH3iL4teHLb/hYk2t6XfeH7g+I9F1bxFe6xdpdpbtItwiSWcS2LCQBTF5m3BwCxAJ5D4I+PviNovws/ZX+Itx8U/Gmt6n4v+II8N6np+raxJc2UtjJeSQsjRvnewCEh3JYbsAgKoAB+peh+M/D/ie/1ax0fXdN1a90if7LqNtY3cc0llNz+7mVSTG3B+VsHis3x18WfA/wvNkPGXjPw/4SN9v+yjXdUgsvtGzbv8vzXXdt3rnGcbhnqK+FP2MvDHh3wD+2l8ZPDuseNPFVn4sj8QzXGkaHqGr3Jj1q1a3lLXFzGfluWVG3K7nIOCK2v+CjHg28+IX7Sv7Lnh3T9QstKvNQvNaiivNR0uLU4IjstDl7aUhJRx91jjv2oA+4fB/jjw58QtGGr+FfEGl+JdJaRohf6Pex3cBdfvL5kbFcjIyM8Vt18H/tDyXn7MXwi+G/g7V9Y1O/vNW1y4WTXvBkyeBNMQlcqLx7WObyxhxgKMuYySflwfDvDn7Qvxlvv2T/ABclr4l8SSW+hfE7+wtW8RWskmoavpegFN0rLM0SyOyNtHmtGr/Nyq9FAP1I8U+M/D/gewhvvEeu6b4fspp0tY7nVLuO2jeZ87I1ZyAWbBwo5OOK2a/Lv9rLSPBfjL9kqw8ReBfij48+InhzQfG1q1/qeq6td3P2VHjiEpLPGrMI/wB2yN83lvNIAQSVFr9pL4k2/gyLwRqfgz456zr/AIDh8Mz3dto1z4v1PTdV1iZry4P2iPUEgkFy/wAjQrDKRtEacYYUAfp1RXEfA7XpvFHwa8D6tc2mrWNxeaLaSyQa9J5l+rGJc+e+1d0h6s21ck52rnA7egAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACivhL9qD47/ABa+Hvx412z1LxZrfwn+E9nZW0mleJ9J8Dp4gtLuRkBnN3KcmHY5ZQqgEqoPHBbr/iX+37onwrufAfhfT30bx54h1vw3Dr0uuX+uW/h7SpYCpUSrNMGAeV0crCBkDGSMHAB9fUV8bT/8FGbbXPDXwZ1TwR8O77xXd/Em61DT4tMfU47SaxurUxq0bMyMjqWkzv3KAg3YJ+Ub+tftw3Hw41vx5ovxK8CJ4N1fw54Pj8XWkEWtreJqiE+W9ujiFArLOViBG7dndhcYoA+qqK+ONK/aH1DVf2jfBEus+H/EGgarqfwul8Uy6DH4oZ9Ltx5srCKW0+zqHuMAAz5BX7u07cmH4U/8FDNS8ev8I7/W/hRc+GPDHxIv59K03V112K7KXUcjRgGERIxjZlxvO05DfKQAWAPs2ivhzx1/wUt1Hw74I8aePND+D95r/wAPvD+unw7Dr0uvw2pu7pXVXYweU7xx/MNrjdklQQuTt+rvjTrHizw/8JvFupeBNMj1nxja6bNLpVjKMrNcBTtGMjce4XIyQB3oA7Wivhr9k/8AaC8UeKvHUfh/x/8AFrWLrxZNos1zc+AfEvgVNAu4plQM7W1wgHmLHtkGDliBuwNpqt8Mf2udc8A/sR+EfijpnhO78T6BnUm1O68b+Pd9/bGO7eOJPtL2ha6aQ7wqBFKhUUbs5oA+7qK+NPE3/BQ6fwX4X+G48R/DqLwx448a2s+ox6D4g8SwafaadZozCOW4vZolCNIqgrH5e7JKnBwD23w+/bEvvjL8E9L8d/Dr4d3firUG8QDQNW0JNUijOnFeZp1nCuk0aq0bAqBuEg6cigD6VorK8V6fquq+G9Ss9D1ZdB1eeB47TU3tVuRayEfLJ5TEB8HnaSAa+cP2Ffij47+Icfxh0vx54obxbeeEvG974es9Qewt7MtBBtUEpAirknLc5POM8UAfUlFePfFX9oRfhJ8Yvhr4S1fQ1Xw741kubNPEzX2xLK8ij3xwSRGPBEvAVt45zxxmvF9L/wCCh8/iTw14QutB+GN5q+veOte1HTPCGkpq6RLqVlZsqyX00zxAW6klvkw/3G+Y0AfZNFfO/wASv2lvGHwt8BeGdZ8QeAvDmga1qcl1Head4i8fWWnW1mYmAj2XTxkTmRSGAVAVHDYNeeH/AIKO2mofBDwJ4+0PwBc6xe+JPGCeDJtDTV4la2uiGO6KcIUmBATb9wHeMsuKAPsuivD/AIF/tJ3PxS+I3j34e+JfCEngnxv4PNtJdWA1FL+Ce3nTfFLHMqJngrlSvG5eTzj3CgAooooAKKKKACiiigAooooAKKKKACiiigAooooA82+HHwG8P/C/4j/EbxrpV5qVxqvjq6trvUobyWNoIXgR0QQhUVlBDnO5m7YxQPgNoA/aEPxi+2al/wAJMfD3/CNfZPNj+xfZvP8AP37Nm/zN3Gd+Mfw55r0migAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDwT4u/sf6P8Ydf17UL34h/EXQbHXolg1TQtC8QeRpt1GIVhZWgeNwodFAbbjdznqareK/2Hvh3r7eD7jR7jXfBOqeFdJXQtO1Pw7eok5sFyRBL50cqSLuLNllLbmJzXlnx5/bS8a+A/wBo3WPhtpd38PPAWnadZWtzbax8SXvYodZaVAzfZ5YcJGsZJRi5PzKcZ5A9d8Z/tbaF8Nrrwj4b1LSdU8ZePta0VNZk0TwJbC/CQbfnuFd3RTAXDhCW3NgYBJoAsxfsi+FRq/wt1S417xNqGofDy7vr7Tri9vo5nu5brHm/aWMWWA2gKE2BRx0AAb+0V+xz4A/af17wlq3jA6nFceHZGMaabPHEl7E0kcht7kNGxeLdEpwCpGWwRmuc13/goD8MtL8N/DPW9Os/Enii0+IMl3b6PFoWmiecXFuUWSCWJnV1kLyBAFDDOSSFwx1rH9tPwct743sdf0HxN4N1Lwl4bj8VXtj4gs4YZprJkJPkqkz7nVsRsrbfnYAFutAHVeKf2cPDPi34zxfEy7vdVi12Pw1N4WW2gliW1+yyu7s+0xlvMBkODu24A+U1yGhfsQ+BfD/hL4Q+HbfVvEL2Xww1V9X0aSW5gMlxM8rSlbkiEBk3ORhAhxjnvXPaL+1Nb+KPjn4OWHUvFOj6HrXw8k8XJ4RvdEsQjw+bIVnkuRM0qTFFGIVymNpLAkgTfDP/AIKF/D34nal4CgtvDnjLRLHxtcTWWjavrOlRxWU1zExVoPMSZ8tkYBUMuTgsCGAAPnH42fsL+NPiHrfinwb4O8Ha/wCEfCWv+KTq1ze3njK2l8PxL5mXvIdPjUT+dIgA8t8qucDopX9EfHPhC18feEtU8PXt3f2FtqEJhe60u5a2uYuQQ0cq8owIBBFfNXjf/gpT8M/BNj4p1Q+HPG+t+HfD2qf2LP4h0rR0k06e9DAPBFM8qAsuckttUj7pbcue18Qftk+GdJ+Let/DvS/CfjHxbrehvbx6pNoGnRTw2jTIHQENMkj4U5JjRgOaAG/D/wDYx8L+CviNbeOdT8X+N/HviWysZtP0678YayL06fFKpWTyQI0wWVmBLbuprjb/AP4Jv+Abv4bfDvwRD4y8c6fo/ga7utQ0xrW/tN8lxNN53mzBrVkd42LBCEG0M3XOa9e/ai+KerfBP9n/AMbeOdDt7O71bRLH7VbQ6gjvA7b1XDqjKxGGPRhXy18Bv2/vGPir4t/D/wALeLrr4c+I9K8W6HLrFxeeBbm4M3h3y7Zp2S/WSSRUKhSrLkFTnPQAgHuvir9i3wz41sPCkuseMfGl54s8Mm4Ww8ZtqMH9reVMxLwyN5HkyJzgBojgDryc69x+ytpFx8ONN8Hnxv43SKz1uPXW1aPVkW+uZUGPKkcRbfJIxmNUUcDGK5zwF+3n8OviD4m8Naba6d4n0vS/FN3LY+H/ABJqul+RpurTxsVMcMm8uCSCF8xEyRgc8VpfBz9sjw38c/Gt94d8MeD/ABoyafql3pF/rNzpca6dZz26Fj5k6ysPnxhQAWyy7goYEgHtHirQn8T+GtT0iPVNQ0R763e3GpaVKsd3bFgR5kTMrBXGcglSM9jXinwD/Y40b9nnxdrOvaJ8QPHetHWbme+1LTtd1G2mtLu7lwXuZFjt42MvH3t3c8Vm/tGftKeLfBnxf8DfB/4ZaBpOsfEHxVbzX4u/EM0kenafaRh8ySCP53J8uThSPu9ywFaGq/tAeI/2f/h6uqfHaDRZtdvtXj0rRLL4ew3Ny+rSSKDHHHBNhll3Bxgtt4X5ssBQB2X7Rf7O3hf9pz4eDwh4rm1Czs47yHULe+0mVIru2njJ2vG7o6glWdTlTwxxg4I5jxZ+xj8P/FPgP4e+Gopda8PTeAY0j8O69od8LbUrLCKrsJNpVjJsUvlCCecCsOf9vf4fWPw6+IXinUNG8U6TfeAntU17wtqGnRwatbC4kSOFhG0ojZWLg5EnQZ7rmC3/AG7PDevJ4p03SfB/jG28U6Z4YPirT9K1bSUhk1SyJCrNApmBZAzAkMUbAbGdpwAa3ib9ivwx4vfwJfap4y8a3niTwe12bHxHcalDPfzrcsTKkxkgaNlwdq7UUqAACMCvFfjL+wK+g/DL4beBPhrDrmvaNb/E628U63Pf6tDFd2lqyMlxJHN+6Y7Rt27d0mTkEnp3X7Nv7a3iH4qfAHT/ABt4h+FXi681hysbf8IvpCPZ6izTzIDZh7lmKxrEBI0pUBjwSCKT4j/tqaDr/wCz78V9f0S88W/DfxH4Hns7XVoLnQrS51bTHmuI1jZbaaU28qyAuMmTgbmHIXIB618Ef2Z/DXwM1zxVr9hqmveJvE/ieWKTVNe8TXou7yZYlKxR7giAIoOAAM4xknaMet180+LP24/Cvw98Vv4NufDXjXxX4hsvC8Pie5k0TSYJg9oVBeQgTLsIzlgQFGQAxJAOlqv7cPw8t/Dvw/1HRrTX/F2o+OrWS90XQdBsBNfyQxg+a7q7okYQqync/VWxkAkAH0JRXzPrP/BQT4Y6V8P/AAf4uhtPEmq2XiXW28OxWOn6aHvrO/X70E8BcMHBIG1N5O5doORXe+G/2ibfX/Fvgzw5ceAvG2hX/iezu7yN9W0tIotPWBpFKXbLK3lu/l7kA3ZDpyM8AHrdFeefHnXfHHhf4aarrPgBPD761p8b3co8SCdrf7PHG7vtWEhmfKqACyjk5NfPsn7ces+Hf2BtB+OetaFp994r1cC2t9JsPMgtHunupIU+87uECoXI3EnBAIzkAH2LRXxaf22vGvwd8UfErwl8ZNA8PT+IfDHhIeL7G48ISTx2t7FvWL7OwnLMr+bIq7+mAx28DNr4N/tcfEy6+K3wq8MfE/QPC9rp3xS0KTWvD9z4ae4EtkVh+0eRdCVmDsYyvzJgBiBgjmgD7IooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPm79oT9l7x38cbnxHp9v8Yf7F8Fa7CsE/hu+8KWepLbDyVikNvO7LJEzbS2eSrMSuDjHEfEP/gmt4W8TnwDc6JrkFnqPhPw/F4aU+JNEh1u0vbWMsyNJA7R7ZQzud6sODjGBivsiigD5b0T9h230TVfgnfQ+J7KA/DjUtT1KWCw8PQ2cOpvd7RtWOKRVgCBAM4kLYGTnJM/7Wf7D+nftS+LPDGuN4qufCj2MB03WY7W0846zppnin+ys3mJ5YDxsQ2G5cnacV9O0UAeE+Lv2XIfEv7QNn8S7fX0023tfBc/g+PRI9P3KqyPIwmEgkGAokx5ez+H7wrhPDH7B3/COeAvgF4a/4Tj7R/wqrXJdZ+1f2Rt/tTfO83l7fPPk4343ZfpnHavrGigD8n/jh+zZ431Gx8Z/Bv4a2vxCm8Oa94yOpppGq+FY7bSLNzKDJc/2szkS2+1AyRqFbhc5IIb6q/aI/YNm/aI8d3es6l400vSbGe4tpo5bPwjbDW7VItmI4dTWRZACUJBdHK7iBwMV9bUUAeeftAfCT/hefwX8VeAP7WOif27Z/ZP7RNv9oMHzK27y96bvu9Nw69ap/DT9nvwl8OfhTYeC4tJ0yQjQotD1PUrPT47OXUlWARSSSbMtl8FiCzEE9T1r0+igD4s+EH/BNbSvhB4w8O6hZ+JNF1PSNB1FdQtFvPBtmdWbZJ5iJJqG4klTj51jVuBgjjHuX7Mv7Pf/AAzn4a8WaT/b3/CQf294mvfEfnfY/s3kfaBGPJx5j7tvl/fyM5+6MV7DRQB4R+0F+yynxj8Z+EvHvhzxfffD34j+FhJFp3iCytY7tDDICHhmgkIWRPmbjI++2c545vxt+yD4n+KXgbSLXxp8Xb/WPHWg+IYPEmheKbbQ7a1j06eFQEjFopKvHkFiGbJbHOBg/TdFAHx9r3/BPubxh4D+MNr4j+JE+sePfiZ/Z6al4obRo4oLeKzlieKOKzSUDG2IKSZOynsd3ob/ALKEFz8eNO+Itz4kaS2tvAX/AAg0ukJY7WlQyM5uRN5h2kh8bNh6Z3dq9+ooA+K4f+CefiBv2fbP4RXvxge88NaPqtvqWix/8I6saRoklxJLbXiLcf6XFI06nBMe0xDrnAq6d/wTPg0z4dfG7wpbeOrSyh+Jf9kkGw8NpbW+kmymaUiOBJwHVyxAGVKjqXOSft6igD53t/2R/I+L3iPxz/wle7+2PAS+B/sH9nf6nGz/AErzPN+b7n+r2jr96vLdU/4JkaNqHw7+FujnxZbXHiLwJZ3Onx6lqnh6K9sNQgmmklKzWUkvBVpDtZZcg5Ppj7aooA+TdP8A2Crew0X4ZWUXinTrJ/B3jSPxjN/ZfhmGxgvnURr5CwxSKIuI1HmEyN65wK941zwT4o1H4t+G/E1l44n03wpp1nPBf+E1sVePUZXDCOZpy4KFCQcBTnb1Fd1RQBwXxu8C+JviT8Pr/wAO+FvFsPgu9vgYLjUZ9JXUQ1uyMkkYiaSPBYMPm3ZGOnNfP3hn9gS7/wCGYdT+B/jT4jt4n8NqIW0G7sNDTT7jSJUmkmMmfOk87c7jhtuFDAH5sj6+ooA+WNB/YWi1rVfH2ufFXx1d/EjxL4t8PDwvJqMWmxaYlnYfK2IokZx5m9EfeTjK/dwSC74N/sTX3gL4jeCfFnjH4k3fj5vAekPonhSyfSYrBNPgaMxFpGR2M8nlHZuO3oCQSK+paKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA86+MfxF1L4ey+Al06C1mGveKbPRLr7UjNsglSUsybWGHHljBOR14NYGj/tP6HrGoon/CNeJLPR28S3HhL+3rqC3WzGoxXUlqI8CcylHlj2rIIymXUMVbcq9b8T/hr/AMLIk8Hv/aP9nf8ACPeIbXXseR5v2jyVkXyvvLtz5n3ucY6HNclH+zv5fge18O/8JBnyPHTeNPtP2L72dZbU/s23zP8Aa8rzM9t23+GgCHWP2qdA0m93Dwz4nvtBPiKHwrH4jtLWBrCTUXu1tGjGZxLsjmZlaUxhMxuqszbVa0f2mtAjfxrcz6Fr9toHg+8uLDV9elggFrHPEit5caiYzTM/mIqiONss4BweK8V8Z/D/AMRHxJp/w68K3uu3HhtPH9n4kk0+48I3MENnGNTTUrsnVnYW8tvv81o40Xzd7IpYqpFe16h+zjpev/Dz4k+D9Z1KS80/xpq1zqryRW6o1o0vllFAYushR4lbLDDdCuM5AHH9pbQdJs/EEnirQtf8E3WjaYNZew1q3hee6tC/lq8At5ZVdjJtTy9wkDOgKjcM+deKv2jdbi8WeP4r+y8T+AdK0H4cXniOSyurCwmvoZUkfbdwESSwyMEVtsbybdy4kVa3NM/ZIsj4Z8S6PqQ8G6c2q2K2cOo+DPBkWi3ULJKkscsj+dN5pWSKN9mFQleV9J/FX7NXiP4gXHjm88TeO7O5vvE3gi68FqNO0I21vZrMXP2kI1zIztmQ5UuAcLgrg5AOo8VftB6Z4U1C+0+28P8AiPxXNo+nQ6nrU+i20DrpkEisyNL5ksZdyqO/lQiSTAB24Zc5uuftVeHdMvPEi2Hh7xH4i03w5plrrWp6vpUFu1rDYzwtMk6mSdHkAjRmKRqz4HCnIzjePP2StO8T+O7zxXYr4Rub/UrK1s9Qi8YeEY9cjJgQoksBM0TwsUIVgWdDsU7QQSehP7PUS6X8TLGDV4LSHxloNtoaRW2nLFFpyxWclqGSNXAZcSbgg2BQu0HuABPC/wAbdb8Q/HzxT4Ki8J3d34a07TtKvbXXrV7URqLpblmkl3XIdo28lVQJEWBWTcNpRj7FXlXhj4Oat4L+IsfiPSPEdmLC70XTdH1fT7zS2lkuBZC4EUsEyzoICftDbgySghRjHJr1WgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAo67rdl4a0TUNX1O4S003T7eS7uriT7sUUalnY+wUE/hXgP7Pv7TWueOvCvjO9+IGgQeH9X0Wyh8SW2naerb5tEurcz2jkSPzMPLmikGQoeP+EGvT/jh8LT8afhxqHgyXVpNH0zVZYI9TkhiLyXFkJVae3Uh12GVFaMvztDk7Sa4C9/ZH0qz8V/274d8Ta5p81zoF/wCG9Rj1rUbzWRdWk6fuVU3Nwxi8mUeYNvBDOpA3bgATaT+1pputz6Fa2nw+8btfeItNOreH7R7O0R9XtlEZleNmuQkXliWMsLhoj867d24Z2U/aW0DUdE8I3eg6Hr/iXVfE8NzPY6Bp9vCl6iWzBLppvPljiiEUjLG26Tl2AXdmtDQ/gv8A2N4j+Geq/wBsed/whfhy78P+T9l2/bPPFkPOzvPl7fsX3cNnzOo288po/wCzVqng638L3/hfxhb6f4p0I6zCt/f6Qbq0urTUb37XJBLbrPG2UdYdrrKOYySCGKgA6/wP8fvDPxB1nw5pmkxah9p1vTdS1KP7TbiL7KbG6gtbq3nUtuSZJrgLtAI/dv8ANwu7EX9p/RL1fCUek+GfEmt3/iebVoNPsbKG2Em7Tp/JuDI0k6RxgkFlLPggYOGIU5+hfs2X/gmXwtqnhnxbHB4o0pdYW/1LV9L+1xamdTuo7u8doY5ojG32iFGTa5CrlSGzmrHwz/Zvl+Hs/wAPZp/FL6zN4UTXFeWSxETXzajcrOWOHIQoVxwCGzn5OlAGVq/7UF/d+IfhqnhXwXq2v6b4kn1a01C0AtIr61uLHeklv++u441kSaOQPkspCnaxyM/QAOQOMe1eFx/s4arog0a/8PeLbOz8QaT4l13X7e51LR2urVk1Se4lkt3hS5iYlBOoEgkXJjyVw20e6DOBnk0ALRRRQAUUUUAcB8bPHeo/DvwZDqenGxtnl1G0sptT1SNpLPTYZZlR7mdVdCUQH++gyQSwAJrz/wAEftLN4jPhSHVbvQdC8wSSa3qN/Kbe2kBkliso7QSSA+bdCMXKqS5SEDIJkjY++ShzG4jZVkIO1mXcAexIyM/mK8G8Tfssya3oFtDb+KIoteuLHVrHW9WvtLF0NS/tJYVu5hF5q+VIPs8SxEs6xxqI9rrigDtv2iviJqnwm+CPi/xfokVnPq2k2RuLaO/jeSAvuUDeqMjEc9Aw+tcvd/ET4g/C3xz4K0rx3N4b8R6D4r1I6LBq3h/TrjTZbK9MEs0SyQS3FwJI3EMi7ldSrbcgg8db8XvhMPih8Ftd+H9vqraSNR09bCPUZoTdGLG3Dsm9N5+Xn5hn1rAtvgx4n8T+NvDPiL4ieM7HxEnhm5e/0vSNC0RtLs1u2ieEXEwkubh5GRJZAoDqoLk4JxgA2NO+NcMvjrS/DGr+EfEnhiXWJbiHSdQ1WK2+y6hJDG0rohhnkeNvLjkkAmSMlUbHIxXmvh3466rd6/8AD64s73WfEWhX/hnxVqt3ZS2FpHf389jeWUcKqqYRWAlnRAHVW3KX55Efgb9jSPwf498DeJpNc0a7vPC1/dXh1CLw2sWr6uJrW5tyL6+M7vK4+0B9wVVJQ5TlSnW+Av2f1+Gt/wCCNWfX31FPCOla7ZNFFp7B7oX93b3RcBXYgx/Ztu0Bi+/I24wQDqtD+NnhzxPrHgnT9H+1am/i3RpNfsprdFMcFkiwnzZiWBUM1xEigBiWJ7KSK8nxI1HSPj0PBOrw2kWi6toR1TQ71FZJHnt5dl7BIxYqxCTW0iYCnBkznbmvOv2SfhZL4ZvvG/iy4t9TtLDVNRlsfDNhrFm9pcWGix3E08cXkyBZIlae5uSquA3lrACBtAHaftG/Ah/jz4QstNsfElx4O1uxuXmtNds7cTTQRywyW9zGFLLxJBNKmc/KxVsEqBQBlfD/AOO/iLxV4Bi8XJ4H1TxNp+talevodv4bS3SUaVHJst7i4a6uYkLTKplAQ8rIoC5Uktj+OB8V+PfhNc+Hr2dPCniTS9avLyzntVSZpLYW4VHDDdG8btKpUEDOQc4FWfiV+zfY+NT4LhsH0WLRvDFjNp0Hh7xFov8Aa2lPE6wrG/2fzoh5sSwBUclgqySDb82RS+F37MEPw1tfhxbL4gXUIPB0GtW4RdOW3F2uoTiXhUfbEIwNuFBDdgg4oA6vQfjx4f8AEOk/C7Ube11GK3+IlqLvSvOjjBgQ2LXv+kYchT5aEfIX+bjOOax/D37TOheJp9FeDQ9a07RfEPnL4e8R6pFFDpurOkMkwEbLI80YeKKSRWliQOqEru4BwvB/7MuseHb34X21/wCNbfVPDPw9hns9M0tNF8ma5tnspLONbiYzsGdI3X50RA2GyuWBWt8If2RdN+EGu6E1hD4LutG0MMtjOfBkMeu7NjJGJNRWbDMoYAuIVdwPmYliSAL4L/ai1XxM/jU3Pgy6sF0GZRBBdLPDNeqUtMpbr5TGdi07leI2O+2BRfMLr2v7PXxdv/jN4CtNd1HRZNBu3hhaS1uEeKUsyBi/lMDtjJzsId9w6kEED0qC0gtnneGGOJ538yVkQKZH2hdzY6nCqMnsAO1FpaQWFtFbW0MdvbxKEjhiQKiKOgAHAHtQBNRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUVS1jWtP8O6bNqGq39tpmnwgGW6vJliijyQBudiAMkgcnqRV2gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDyH9pX4dz/Evwx4e0y31LR4nt9aivG0TxC7Lp+uqkUwNlPsO4r8wlACuN0C5RhmvnfWZLDV9B0nwhoWi2/wl1Hwz8UdIs9UtvBs1rd6abiaKNkmt3lttoIVo/kMSbX4ZWzz9meLfBPh3x9pR0vxPoOmeI9MLiT7Fq1nHdQ7gCA2yRSM4J5x3NUIvhV4Jh8HSeEo/B+gR+FZDl9CXTIBYschuYNuw8gHp1AoA19Glitok0l9XOralY28QuZbhohcvkELLKkaqqlyjH5UVSQ20ADA+Wvix4+1T4ZfF/45+IdFe3t9Rh8LeELdLu7j8yGzWfUtRge5dcjKwpK0pBIGIznjNfT2g+C/D/hWRpNF0LTNHdrW3sS1hZxwE28AYQQ5QD93GHcIvRQzYAya5Hwf8I5dK8ceO/FPiLVbbxFe+KYrawNsmni3trfT7cz+TblGkkMjf6TKXckByeEUDFAHzp8e/E3ijT/CHxh+H114sbxxb2PhzSdZttYv7W3jnsrie+eP7POLVIo2VhCsqDar7S2SwKmuh+LHxI+Ifwe074v6TF41n8QX+meB4vE+karqGnWkctjdNNcQvGEiiWN4v3UbKHVmHzAs2Rj6H0j4UeCPD/h270DS/B2gaboV2/m3Gl2elwRWsz5B3PEqhWOVByR2HpWjq/gvw94hkvX1TQtM1J760Gn3TXlnHKbi2DFhBIWB3R7mY7DkZYnHNAHies6Fr/ifxh4y+DPiXxhfa/ovivwLcStfT2drDPYSSu9pMIfJjQGMrMrKsm9gU5dgaq+PfG3i/wABfFZ7zXdc1zTvhxDqOl6fYy+HYtLuLRGlMMbQ6kkyNeK8k0mA1ucBHQnBya+gjounnWRq5sLY6qLc2ovvJXzxCWDGPzMbtm4A7c4yM1hXfwo8EX/jCPxbc+DtAuPFUZVk1yXS4GvlKgKpE5XeCAABzwBQB55+1mP7C8CeH/HacSeBvEen67I44ItPM+zXvPYfZbm4Pp8tfLfiDW7/AE/QvE13bXMsd7+0XaPb6WwYnaz6oLOB0PZv7L1C3fPpaMR0r9BdX0iw8QaVeaXqllb6lpt7C9vdWd5EssM8Tgq6OjAhlYEggggg81nS+A/DUyaCknh3SpE0Aq2kK1lERppVNim3+X91hPlGzGBx0oA+ZfiH8TfFfhPS/jNqmheLYfCtl8KltrXSPCJsraSHVI1sLe4T7Qzo02Lh5Wt4vJePBj/jORWt4rvvGnxD1T4/WM3jLU9E0Dw/p0UNho2n2VkW3TaQk0qyySwSMw3vkBSpBLckYA9+1n4beEfEfiKw1/VvC2i6pr2n4+x6pe6fDNdW2DkeXKylkwSTwRzWra6Hp1je6heW2n2tveaiyveXEUKrJcsqBFMjAZchFVQWzgADoKAPPv2aNIutJ+Bfgn7T4gv/ABELnRrG4imv0tlMEbWsWIY/IijBRcZBcM/Jyx4x89fstfDCDUbybxHJ8HPh5qbJ411+UeNL27Qa2hTWLsCRYzYsd8ZUKn+kDhVOV6D638I+BPDXw/sLix8L+HtK8N2VxO11NbaRZRWsckxABkZY1ALEKoLHnCj0rm4P2ePhVbeJl8Rw/DPwdF4hW7+3rq6aBaC7Fzv3+cJRHv8AM3fNvznPOc0AeN+F/jD4v1j9pKf4azeLIm8NWGpXtxD4kSyjEuqyJEjnRATF5IktvOZ5HT52jiReHWdhxfw9n8Z+AP2cdHuNA8f6mNQ1b4iPoX/EwsbCaKzSXxLPb3DKi26MXdWZmDsQGPyBBgD67h8BeGbfT7Cwi8O6TFY6fd/2hZ2qWMQitrncz+fGu3CSbndt4wcsxzkmqcPwo8E2+r32qxeDtAj1S+uYr27vk0uAT3FxE/mRTSPt3O6P8ysSSrcgg0AfP3x3+Ivir4e2viS08M+NPGms6x4O8P8A9r6jKmn6CLJC7XEkT373CwFkZYimy02MFjycs2T0GleP/E/xf+Ilzo9v4zuPhxp1h4V0rX4odOtrOW41BrwTNJIzXUUq+RF5SphFVtzHLj5RXsviX4Y+DvGepQ6j4g8J6HruoQxGCK71LTYbiWOPJOxXdSQuSTgHHJqLxJ8JvA/jK10228QeDfD+uW2mKEsYdS0uC4S0AAAEQdCEAAA+XHQelAHk3wd8O6gn7S3xsv28WatLbRalprvpRisxbTh9Mh2FiIPNATou2Rc7Pm3nJP0JWDN4B8MXHiy28Uy+HNJk8TWsJt4NaexiN7DEQQUSbbvVcMwwDjBPrW9QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGR4t07R9Y8OX1h4gjs5tHukEFxFqGPIkDEAK4JAIJIGO+cd6+GNc0vUvgrof7Ruh6LqukWOpReEtP1EWvw90ttM03TLdpLmOefyPPmMV4YxI5YMMpHEw5HH3frmg6Z4n0m50rWdOtNW0y6XZPZX0CzQzLnOHRgVYZA4IrN8JfDrwp4B0ubTPDHhjRvDmmzktLZ6Tp8VrDISMEskagE445FAHyf4y0+z+EPif4l2HwVt7fS7T/AIVLe6y1noTZhXUUcjT7kKpIM8iG4O/70nlKSWwDSWVp4d+Evi3wrdfCWS2s4tS+GWs6xq8lgyyLdmFLNrG/uAciSYySTgSuCzhpASQOPrHwf8PPCvw8trm28K+GdH8M291J508Wj2EVokr/AN9xGoDN7nmoPD/ws8F+E4dWi0PwhoOjRavn+0U0/TIYFvcgg+cEUeZkM33s9T60AfPHhTVvipqviL4U6Ne/FO9aPx14Tudc1C5h0bT1l06e3WxOLLMBUK5vcN56zYCfLt3cHgL4s+OPihdfD/w1eeMm8Iz3Ok63eX2u2Fla+fqk+n6itkEjW4jkijUrmaQKmfmUKUAJr6cg8L6Na3OmXEOkWMVxpds9nYSpbIr2kD7N8URAyiN5UWVXAPlpkfKMcB8UPgnB4z8PaZo2i2Hgqw06zuZbo2PiHwlHq9oJZGLmWKITQiOXezsXycl2JBJzQBV/ZR8eaz8TPgToPiPxBq8GvapdXWoxvqVrCkMNwkV/cRRsiJwF8uNMdSQASSck+uVyXwo+HVn8Jvh9o/hWyuZb6KwRy93Oqq9xNJI0sspCgBS0ju2AMDOB0rraACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAyfFGjXmv6JPY2Ou6h4aupCpXU9Ljt3uIsMCQouIpY+QCp3IeCcYOCPG/2ItBvtH/AGb/AATNd+I9T1yO70yGSG3v47VUslAPyRGGGNip/wCmhduOte9Vj+EfCWk+BPDOm+H9CtBYaPp0IgtbYSM/loOg3OSx/EmgDYooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiivI/HPx/Xwnpfxf1Gz0P8AtWz+HOjG/upDd+T9qvBavdtZr8jbcQ/Z2MnOPPA2naaAPXKK47SvjF4G1ix1K6tvGXh6ZNKaOPU/K1WBxYSOdqpOQ37ti3ygNgk8Vr63428O+GZZotY17TNKkhs31CVL68jhKWqMqvOwZhiNWdAXPygsATyKANqisDw34/8AC/jL7d/YHiTSNc+wMEu/7Nvorj7O3PEmxjsPB4OOhqjpHxc8C+INJ1jVdL8aeHtS0vRkaTU7201WCWGxVVLM07q5WMAKxJYjABPagDraK4m0+K+h694i0jT/AA9rXh7Xre6ubmzupbXW4Wmt5oYhIY0iXcZXAI3LlSikMcip7f4w+ArvUdZ0+Dxv4cmv9FgkudUtY9Wt2lsIY/8AWSTqHzEq/wATNgDvQB19FY+oeMtA0gqL7XNNsi1lNqai4u4482kOzzrgZI/dJ5ke5/urvXJGRXPN8d/holnql23xD8KLa6U6RX851u22WbvkIsrb8RlsHAbGccUAdzRUFle2+p2UF5Z3EV1aXEaywzwOHjkRhlWVhwQQQQR1rnPDvxX8E+MNUGm6D4x0DW9RMX2gWenapBcTGPj59iMTt5HOMcj1oA6qiuc0/wCJHhLVvFV34YsfFOi3niW0UtcaNb6hDJeQgdS8IbeoGR1HevO/it+1j8O/hv4RutTtfFvhjW9UW4tbO30xdftoi8s9wkCmRwWMcaly7vtbakcjYO3FAHs9FcLpXxh8L+R4atdc8U+FNN8Q67bRXNnptpr0Vwt2JB8rWruI3uEb+FxGN3pWpffE/wAHaZ4h/sG88WaHaa7v8v8AsyfUoUud3liTb5RbdnYyvjH3SD0OaAOmorgW+PPw+n8JeI/EemeMdC17S/D1s9zqMmkapb3PkKqltrFX2qx2kAMRk1P8PvjV4J+J+gaJq3h/xLpV7Hq4C21tHfwSTed5Ine3Ko7fvkjYM6AkqOTxzQB29Fcvq3xS8GaBbS3Gp+LtC063iuJbSSW71KGJEniQvLESzAB0QFmXqoBJAFQ6f8XvAmr6ho9hY+NfDt7fazCbjTLa31WCSW+iBILwKHJkUbW5XI+U+lAHXUVx/hL4hr4k8aeMvC9xY/2fqnhye3O0TeYtzaXEW+C4X5RtDMk8ZU5w0DckYNQ6h8TYrX4mS+ELewa6Njoba5qd2Jdv2SNpTHbRhMfO0piuT1UKID13CgDtqK8zT4/eHpPhX4G8fiz1P+xvGE2jwWEBij+0RNqUsUUBlXzNoCtOm/azYAON3APU3XxI8JWPi238K3PinRbfxPcLvh0SXUIVvZFxnKwlt5GOeBQB0dFeVfFn9o3wj8M/CPirULbWdF17xBoVlcXR8OQ6vDHdStCuZIyo3MpHc7DjuK6e0+JWi+KtG8QTeB9W0Xxnq2kxyI1hp+qxMBchWKQSyJv8ksy4yVJHJwcYoA66iud+HnjjTviZ4F0HxXpO/wDs7WLKK9hWUbZEDqDscdmUkqR2IIrnPCfxv0DXfCdz4o1a80/wz4ek1W707TL7U9QjiW/SBpEMw37Qu4wTsq5YmNA+RkhQD0WiuMsfjT8PdTfREs/Hfhm7bXGZNKWDWLdzqDBtpEGH/ekNwQmeeKevxK0vT73xMuu6loei2GkalBpyXUusREs8tvBKizqQv2eVmm2rESxZfLccSAAA7Cisbwr4z8P+OtNbUfDeu6b4h09ZGhN3pV5HcxBxjKF0JG4ZGRnPIql8R/iFpPwt8H3viPWjObK2aKJYbSIyz3E0sixQwxIPvSSSOiKOOWGSBk0AdNRXC/Db4tWPxGv9d0ptG1bwz4h0N4RqGia3HCtzCkyloZQ0MksTo4V8Mjtyjg4KkVmfFT45RfCKO/1DV/BviW78M6bbfa9R8R2CWj2dnEBl2ZXuFnfaOSI4nPpmgD02ivNr3486DZePIfDQsdTuEa6tbCXWYY4jZQXVzCZoIHJkEm50CnKxsg8xAWBNdR4L8bWPjywvb/S4rj+zoL2azhvJVUR3nlHa8sOGJaPeHQMQNxQlQVKswB0NFcsvxF01vig/gPyLr+100ZdbM+xfs/kGcwhd27dv3KTjbjHfPFUvBXxg8OeOLzULO2ufsF9a6xf6IlpqEkcc13NZsBO0CByXQZBz1AOSBQB21FcvqvxS8F6Cs7an4v0HTlgunsZTd6nDEI7hIxK8LbmGJFjIcqeQpDEY5qaX4jeE4PCI8VSeKNGj8Lld41ttQiFlt3bc+fu2Y3cZz14oA6KiuWn+Kvgq18O2HiCfxhoEOg6gzJZ6pJqcC2tyyo7sI5S21yEikYgE4EbHopxBefGPwDp8+iwXXjjw3bTa3HHLpUc2rW6Nfo/3GgBfMobPBXOe1AHYUVxEXxX0LTrfVbjxJrXh7w/bWurT6XBNLrcLLK0cXmlXLbRHMEWR2h5KqhYnGcVPGPxo0Xw74DsvGul3Fj4m8LPf21td6npt8kkVvbyziBrhWQMsgjd1LqCMKHOcrtIB6FRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc3438K6n4rsbeDS/GOt+DJYpN73OiQ2MkkwwRsYXdtOoHf5VByOuOK8J8Y/DPxLceEP2o/BWm6Vc3934ysbnVdDuGAjiu5brSUsjbec2I1kWa0JIZhhJoz05H01RQB4L4h+AcPiL4i2FnNoUFt4Guvh3qHhXUTbGKMI0k9oYYQgO75Y1uSrAFVOeQWGfn28sPEnjf9kP45/EDxk8F7rtz4dl8JWN1G++K4s9OEkMlyp9Lm7N1Lx1TyuTgGvu/WdG0/xFpN3perWNtqemXkTQXNleQrNDPGwwyOjAhlI4IIwaqyeENBm8Mf8ACNyaJpz+Hfs4tP7Ia0jNp5AGBF5ONmzHG3GMdqAPmjx/8HfHXxsl8VNB4bHwyRvAN34St47i9tpFvriaaGRNv2dpNtrGsLxqzhXxdP8Auhgg4+t/BHxh4v8AA/xGL6B4zj8T3Xw81Twrptvr134djsp2mjXyoIf7PSMkB0AR5/LVAz/Ku84+xqKAPF/Hfwr1bVPFXwpXQbUaZpWg2ep2k9zavGg04S6eYICibgTh8ABAcY5wOa5Pwb8PvFF3+zne/B2+8AN4WvrfwbdeHk8Qrd2cum3Nw1v5HmQ+XKbjErEysZIkPXO49fpSigD5L8Z+BPiR8SbhXbwBd6FFafC7xB4aAvdTsXabU7oWIjjQRzsPLb7O+2RivQ7wny7u68N/BF9J+MPwy1k+GbKDSPD/AIDvNFlmUQ4tbtprDyo1UHJ/dpeAMoKgM4yN/PvVFAHmf7Nvg7Vvh98EvC/h3XLMafqWnRSwtaiRJBEnnSGNQUJXAQpgA8DA7V85fsz+FfFPjD4UfAGwtvBn9gaV4a1F/EE/igXdsYLiForpPLgjV/P82Y3AEm+NEA8zDP8ALn7Zqlo2i6f4d0u203SbC20zTrZPLgs7OFYYYl/uqigBR7AUAfJfwY/Z/wDF3hK88BeHvFEHjG+XwjqsuoQ61bXOgrpEspEytPlYl1AmZZW3owyTI252A3Ho9H+CHiXSv2WvC/g+DQY7fxBbeLNN1e8so54RiOPxDFezSlw+xiIVZ8BiTjaAWwK+nqKAPlH4r/B/xnqY+OPhzT/BkfiMfEqSF9O8UveW0cWkAWMFqouVkdZh9nkhe4i8lJMmT+A5Nd9oHw38T+G/F3x11+w0yxl1rxBDZpod7qTI0V88GlpEgmCkssYn3gggcFiODmvcKKAPkXwx8I/ib4h+JEura7a63DaXnw+1Tw9cXPiB9GjEV7NLaNDHHHpy7vJAWcq0jSFcMPkz+86XSvDfjdPDXwT1aXwDq0Op+AZjY6joj32nm4uom0t7Vri2cXJiZBK6/LI8blQ52ghQ30rRQB8peDfgx4x1Lxx4T1zxH4Sjsra2+I2ueJp7ae7t7j7Laz6fNHaSttchn8xoxhdxVueg3VYHwB1zT/A3iG20/wAM21tq9z8WLXxVb+VJArGyXWbad7gNuwD9mWY7MhiCy7ctg/UtFAHlHgTw/qF78fviV4wubK4sdPax0vw3Ym4iaP7ULX7TcSzqCBuTffeWrdCYXxkYJpTeFtU0b9oHxjfxWFxdaZ4w8J2tvFdxxlo7e7sZbkGKR+ieYl8jJuIyYpfSvZKKAPjXQ/2SNZ0T4EfBS1iTxNL4x0DUfCt1q+kXfi66uLG1FrdWsl5tt3uTbFY1jkKrGpHyjyx92rNz+z/4uj8VeK9G1WDxjquha54wPiWHUdAudBjs4wblJ4DM1zEL1JINiIPLMnyxLtKg7R9g0UAfLniz4F+Jr/4C/tG6DYaDEfEXjTVdUutNi8+FTfJLDEkLM+/C52EYcqRjtXQ+G9I8QWnxTm+IV/4AuvBmi+HPBs+inSrR7e8uNUk86KZBbxWrOWiiWB0iDBJGNywEa85+gqKAPNv2cfBOpfDv4IeEdC1lFh1iG0M99AjblhuJnaaWIHuEeRlB7ha8e8MfB3Xbv4YfCXwdd+H5Lr/hAvHX+nm8RUils7dbz7PeR+YQJVZZrV/k3EOzDGUbH1VRQB8teJvgDrlx4P8AjzHp3hm2Gs+JfGFnq+jukkCvcQRRaawkDFhs2zxXbAMVO7cwHzgmx42+CPibxJr3jxn0KO907V/iZ4a1+FJZ4Sk+n2tvpSXMpUv0VrWcbGG5tnCkMM/TtFAHjul6F4o8FfFX4n+JLLwzJq9jrs+hizigvIITNtTyLqc73GPKQqxDYLiMBdxwK0/2ifAms+PPh/ap4eihu9d0XW9L8QWdlcSiKO7eyvIrgwFzwpdY2UMeAxUnABNen0UAeDeEdO8bW3jX4mfFS68C3lrqOoaTp2laP4Rm1GzF7craG5kLSSpK9vG0kl2yr+9OFjySN2Bl/tSeCdR+K2nal4fg+C8fi3V4bV08O+Lr+504WmmXMiKRO3myfaE8uRUYqkThxGAcg4r6NooA8T+JvwRPi+70GaGxb/hIr54YdZ8S2t29ulrFHC6yXCW4kCtcsrvDFLsLQiUsGGwK2d8FfA3jrwf8QXt7+3vrDwtaW+qWzrLqMcun3CG9jOkrY2yyMbZYLNZI3BSLLFc+aRvHvtFAHg/jb4FXPj/9pRPEmotrlh4ah8JJpyX+heILjS5GuvtjyGNvs00cjDYwb5gVz715drfw11b4E/Ajxd4pltp49W8F+Or/AMZaGdQ1I3Vxf2hlKNE07O7s9zbSzxAOS5eRMgkYr7JrI1/whoXixtObW9F07WW065W9sjqFpHObW4XIWaLeDscZOGXBGTzQB8m634I1r4bJ+zat3oC+K/GEnibUtf1qwjlijkuNRuNNvri5MTSsse6N5G8veyjESDcvBFjV/gT8QtUgt/F0On3+jXI8f3fi0eE9MudOe9treWwFohRrlZbM3IkVrgqTtzPJtkDgMfrS80XT9RvrC9u7C2urzT5Gls7iaFXktnZGjZo2IyhKMykjGQxHQmrtAHyzoXwI1ea78A38mha86R/EeXxbrEPiu40pri3H9j3Nus4SxxAoNwYDsj3NvZpD1YjstG8PeJfh58YPiFft4FufGWm+MtTs7231yxurNWsYUtILc21ylxLG/lxvDJKvlLJnzm+UNnPulFAHzFF8EfE1z410S7vdCjm061+LV74qkaWeFgli2k3MMFxt35z9oeIBQN4OG2gAkQ+O/hb4muPhp8avCiaNOG8f+MVg0xrcCVI7K5t7GO4vH2E+UqGO7kO/aSyjgl13fUdFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfAH/AA7i+N//AEeh8QP++L7/AOWVH/DuL43/APR6HxA/74vv/llX2P8AFb4Yt8UNJsbIeINU8P8A2W8huvN0uby2l8uaOTa3qPk49Gwe2CzwL8Lm8FeLPFGtnxFquqjW7o3P2K9mLQWvyRriNf8AtnjP93aP4ckA+O/+HcXxv/6PQ+IH/fF9/wDLKj/h3F8b/wDo9D4gf98X3/yyruvCnw5+IHw/8I3vi/w54dsfDmqHz7Ge206ORr/UIptYR5L24iNq372G3WXygI7gkTMQH4Ru40fWvjBf6ZeXEV7eXN5ZeHdQvNPtn0zyI9QvlnkFpDcNcWlu4bYEVgiQhvvDAOSAeG/8O4vjf/0eh8QP++L7/wCWVH/DuL43/wDR6HxA/wC+L7/5ZV7L418X/Ee10zRB4S1nxRf2M0N61zq+t+HJLe6jvVW3+zwvbRaU7m3IadiViXcVK+epAVpPGrfFXWPD3iW3jvNZlbVrjWtJhsLbToo4rWAabNJbTRSeSJMmeNI1d2KnzcY3bSADxb/h3F8b/wDo9D4gf98X3/yyo/4dxfG//o9D4gf98X3/AMsq+iPijYL4j/Z+8PR3tjrfiy0Gs6HPfW+o6FJJezQR6pbvP5tklurEKiuSPK5VckHqeD1C98W+DdG8Ut8OdB8R+HdAv9SkuNCtLXSWgjh8uxiEg+yPZXEkEcs4fbH5UIZkkYunmLvAPM/+HcXxv/6PQ+IH/fF9/wDLKj/h3F8b/wDo9D4gf98X3/yyr2OPTvH3ivxbPqNtpsvhzWZbu6msr9tJEcUE0nh7Tgjykp+9UXPmxFpCzfuzGGHlgL3nw+uLz9ob4Oa/e+JIbjT9F8YRzxWOmSKizWNi0QgB3qPmZ2WSdWySBKgGNooA+YP+HcXxv/6PQ+IH/fF9/wDLKj/h3F8b/wDo9D4gf98X3/yyr1zQdT+IN34e1jxnrGja7pXi+aSw8LRiytMPFFaqzXN2Ea1uSIJrqS4AdIH3Rpbtwp3Kvg3xD8RI9ZsvFusaPq9tdXGk+HLXWmj0iR5Jo47zWEnAiEQYsPMtpHEaKyrIG2qpoA8i/wCHcXxv/wCj0PiB/wB8X3/yyo/4dxfG/wD6PQ+IH/fF9/8ALKvXW8e/GO+1TRnjh1DTNPnMksD3ekTDzn/tS6TybqOKwneNBaJabSWtyfNZt74JXt/jLd+LNO8T3l14c8+wK6LCE1K20Z7uQv8AbkMkKyR2tw6lotw/1cirneUOM0AfNf8Aw7i+N/8A0eh8QP8Avi+/+WVH/DuL43/9HofED/vi+/8AllX0L8QLrxB4i+EPw81OS18SWOpprGn3V80WnLd6laoNwklaFIAMgHPMAxkZjB+Sua1D4ifFe1g8Km2sPEdxcC7iM7TaUEj1CxfVpIVeaJLF2in+xKk0imW1CGRSFOGRQDx//h3F8b/+j0PiB/3xff8Ayyo/4dxfG/8A6PQ+IH/fF9/8sq9fu/HXxZgsvEcFouuai0Oq22dWOlPbpDZPLcbxawPphlLrtgVvkvFCOGDg5NUfFV/8SfEejaRZa1NrdwPO0Oe3g0rQJXgvyNZJuHu3e0jkheK3it3PFuuS7BWUhVAPLv8Ah3F8b/8Ao9D4gf8AfF9/8sqP+HcXxv8A+j0PiB/3xff/ACyr6W+NXiTx3o/iRYvDZ1eOJdNSXS4dM0kXlvqOoefhre9lMT/Z4QnlfPui4kkO/wCTAn+HupePj41tG1y61O70m/u/EcclrdadFDDZRW+peXpxV0iV/ntskF2bzBhh60AfMX/DuL43/wDR6HxA/wC+L7/5ZUf8O4vjf/0eh8QP++L7/wCWVfSOi+M/HNx8fjprWOtDwfK97bSrf2f7iAxojQzRyLZooVyG25uZsh+VRhhcrxPplr4g/aKQ6L4ZvPDuuaTDLNL4rHh65VdYuZLCSKK2N6sPlNbRI6u2+TBljhVRuRqAPA/+HcXxv/6PQ+IH/fF9/wDLKj/h3F8b/wDo9D4gf98X3/yyrtfDfge7h0azK+DtYtvB0Nv4aTxNo0+kT+Zf3sLXn26Q2+zddkM9i0sqLIJhHwz7DSS+BPEH9mW6XfhrV57yWxRPA7f2fLIdCk/tq7lj8xgp+xlbN9NBMhT5Ld052laAOL/4dxfG/wD6PQ+IH/fF9/8ALKj/AIdxfG//AKPQ+IH/AHxff/LKvrP4gaxr1n8QvD9ot9rukeGZbaR3utA0kX7T3YljCwznyJjDFsLHdhM/N867QD5BrviH4i+Ltd1nSLnR/ENx4emu7a7givtPJa0kt9btAERks4V2mFpJP9ZcfJFu8zhiQDyv/h3F8b/+j0PiB/3xff8Ayyo/4dxfG/8A6PQ+IH/fF9/8sq9kl8W/Fu6mvILWfX47uV2jvxLoEawaVJ/bFrDCtk7QAXMbWb3bu5abAiRi0ecGLxjqfxS8Maxq9noa38Gmy6vd+ZrkWkA3E7rY6eLZ5Ft9PuPNR2N3ukEI5gVPNQAIQDyD/h3F8b/+j0PiB/3xff8Ayyo/4dxfG/8A6PQ+IH/fF9/8sq+r/iFrHiq203waYbrUdLguWY6zfeHdLN9PE4t2ZEWGSGRliaXgsY9wwoJXcSPDPCFx8T/Bfwz8IWumaJqGkBdL8PWmp3EWklL2CNNIfzFAFncu7LcrDGwMMpjDEYQEuoBwf/DuL43/APR6HxA/74vv/llR/wAO4vjf/wBHofED/vi+/wDllX0H8JtQ8T6P421rUvGN7r95NqOlaTItvaaLO2nPKyJDJIh+yrJG4kO5o3KlVd2ZAq5XZ+O3w5l8Wa/4QlsRfxR6pe/2F4hawQlbnR2jlneKcgHahkiSMScFRcSqpBlJoA+Y/wDh3F8b/wDo9D4gf98X3/yyo/4dxfG//o9D4gf98X3/AMsq9r1nxX8VLS78TQ6OmtG8tYda2aZ/YaLY2kMMuNNezmMIE8ssQQmPzJeZHG1NgWuh0zxN468Z/EiWC1uNf0Pwl/b06RTS6Ituz2aaVZOi5uINyo1290N5G4kMoPyjaAfOf/DuL43/APR6HxA/74vv/llR/wAO4vjf/wBHofED/vi+/wDllXvvx+fxbqniUaVa/wBuf2Mtx4fnsrPStI+1W9641UNeG4mETGLyoo4nHzxgAk/vOVXn73xh8Sdb8Tazp76JrV3oMtxDPBDq2kLP9leLWbVNq/6DEmDA8sgPmXBCxB1kBUsQDyL/AIdxfG//AKPQ+IH/AHxff/LKj/h3F8b/APo9D4gf98X3/wAsq9l8P6v478H6h4a8LWS3VnD4q1fU1iaa0QHSxBrFzc3ExDrki4s5CELAqGjjI/1nzeg/EnW/HemfEPRNH8Px3k2k+Ilt4RfwWSyw6M9vceZdySuUIHn2rske/KiSFQBl8EA+Wf8Ah3F8b/8Ao9D4gf8AfF9/8sqP+HcXxv8A+j0PiB/3xff/ACyr1SbxD8RfGeq3enaho/iGbQ21fQNRt49R08iWzaHX7YypuSzgXasKmRsNOAsZYSkZJ09V+IvxZbRIrbTNN1iTWrPSphqclxozwx/aBqdrE0kMn2dlkdbQ3UiCNJFfCkJIfloA8Y/4dxfG/wD6PQ+IH/fF9/8ALKj/AIdxfG//AKPQ+IH/AHxff/LKvadP8Z/E63vPB0l5d6zqdrNqDQ3NnYaLPFPLA1zGEe4lm0pIwEQyBhi0yg3K7Niut+NV98RLfWtRk8Iahqdla6foBv7e3s9Liuor29FwAIXLxMxBjBykbK2DkEYzQB80/wDDuL43/wDR6HxA/wC+L7/5ZUf8O4vjf/0eh8QP++L7/wCWVeyfErxf8VvCeieI9N0ZvE+sanpt5enS9WXS4mF9GllaTxRzLDp8ofdNcTRKY0hVhburSq4ye18MeMPGmp/GmXwnePJFpdjbjxFPc/Z4xutLiLybaxY7chhcpevkYbbaxAk72yAfM3/DuL43/wDR6HxA/wC+L7/5ZUf8O4vjf/0eh8QP++L7/wCWVey/b/iD4b+J3jdfDFprNzcXviG5nj0u90jy9Jnthosfl3H2wxD5zdxRRYE3I3Dy+DIO9/Z71zxrrdhqj+L7m6uFVLYwDULGa2uI5Srecp32NojJkJtCLIQS+XIK0AfLv/DuL43/APR6HxA/74vv/llR/wAO4vjf/wBHofED/vi+/wDllXqvw10v4geGvh58P/D99Bqmq2cOk+D5zb6losR/s2UXSpeQqBCCvlRIjEybpIiu/eDgjGbXviH4/vtG8PajqfiL+1FTQNV1S1m0GKA6Te/2qguPsxNuPMhjWOQLI3mphNxeTmgDg/8Ah3F8b/8Ao9D4gf8AfF9/8sqP+HcXxv8A+j0PiB/3xff/ACyr1/WfF/xntJdNtIXvoooZNSt4tSn0uR/t0sOpzwwG7jt7CcrG9tHbyboxbhxM7K4GNvqPhG48cr4E8Z6tdXF1qfiQ32tJo+lajbRW0MaQ3t0liq7URikkS253uzbl2sCMkkA+T/8Ah3F8b/8Ao9D4gf8AfF9/8sqP+HcXxv8A+j0PiB/3xff/ACyr3Hw9rnxL1/V9B0631rxSmg3OrW0d5repeHobO+RDpl/LcRGOS1VEhW4isQspj5aVkDtXQ/GseKdN8d6brPhqzv2eHQp7Wa+sbI3L20Ump6b57RptZXmW2W4kSMqxYxcI/KkA+bf+HcXxv/6PQ+IH/fF9/wDLKj/h3F8b/wDo9D4gf98X3/yyr1nxD4z+NcOl2Efh6PWNQS+fU1tNRv8ARI4p1S0lW4t2uYjCvlG6iSe2GUTrEyqrtmrNr41+Mt54g8LSzx3mmadqVvZ6isNxpcpVftF7M81ndrFYzNE0FsbaIFpbfDZZmk+faAeO/wDDuL43/wDR6HxA/wC+L7/5ZUf8O4vjf/0eh8QP++L7/wCWVfUWh3nxBtfgRrmsy3N9qvjmSyvJ7KyvrGGIwzKZPJjSJI0LcBOHJLHHIBrydtS+Iug3/ie60CXxPd6ZqPiaLz9dv9Ea21CS3XSLcKywrp0uU89WQutpxsAJGS9AHmv/AA7i+N//AEeh8QP++L7/AOWVH/DuL43/APR6HxA/74vv/llXsvhj4jfEi/8AGL6dNe6hqOr2t7o9vPptrojR6SY5dOt5b55Lh7cSQkNJJIiSOj52JtOSoreBPE/xn1+w06LWL3UtMu7q80yPURHpDGawZjKbxY2l0+KEwjCKGDXBXbkysGBIB5H/AMO4vjf/ANHofED/AL4vv/llR/w7i+N//R6HxA/74vv/AJZV6h491H4k+IvC11pWqjxH5aRxwWkVjoAm/taWPWLiKV7orAfJH2WG0mUoYVbznZd6gKuxJf8AxO07T/Es+lLqelx6ZFr+p2mnWWhwLHqNyutXZt42BgLN5sAQnYQ8gk8zcWbcQDxf/h3F8b/+j0PiB/3xff8Ayyo/4dxfG/8A6PQ+IH/fF9/8sq+gvDXjvxg/xv0zRNW1HV4oru81vz9IuNISKxS0gkAsZLe58kNIWiaJ3xLJh5Cp2YCVn+OvGPxSsfEXiiPRRrklzA2pLb6dHoayWEVmmlySWlzDceSfNuGvBAnleY3+skHlYXcADw3/AIdxfG//AKPQ+IH/AHxff/LKj/h3F8b/APo9D4gf98X3/wAsq+ufAa+LGvPFWj6zquo3MccNq+n6zdWUMUivLB+9CbYljcRyLkAqxBbDEjAryvRviN8SPFGh22q39xq+iaXFrA8P6pN4e0dL+5iezt7hLu7gi8mZmSXUAIP9W4VIFYKu9nAB41/w7i+N/wD0eh8QP++L7/5ZUf8ADuL43/8AR6HxA/74vv8A5ZV7vonxA+J8dpo1prmm6tFrV/ceHpGFrorSW8MEjRjURJIsbJERiXcrPuTcNpAwa6fQr74hWf7Or6xPdahqvj640pbv7PeWEMUttMUBZEgSNMsvzEI+SzDB4OAAfMP/AA7i+N//AEeh8QP++L7/AOWVH/DuL43/APR6HxA/74vv/llXtvxN8e+OtC8NaXN4Jm8a+IruG3ubwz6loXkG8dJI9ttLAumbwSN23H2bKliJGIyuXq2pfEbwhZa5DoNtrunvJe+Ib7S4bHRftaajqB1BmtYLpmhfybeRGB8wGIFXY+au0UAeTf8ADuL43/8AR6HxA/74vv8A5ZUf8O4vjf8A9HofED/vi+/+WVe+6rJ8SGOn6tFFda3qcfi3WksdN1DS4FgtLaKx1VLNxIIg8ayOLZPPLjcsoUNiRg/S/s965411uw1R/F9zdXCqlsYBqFjNbXEcpVvOU77G0RkyE2hFkIJfLkFaAPl3/h3F8b/+j0PiB/3xff8Ayyo/4dxfG/8A6PQ+IH/fF9/8sq9Xj8VfGvTPBHh+SWXWtSvdQ0TQ7/VrqfSY4bjTp5RP9tjhjis5PmDLbho2glZAzHA6i5b+MPjK3iLwvb3E0kdjJBZt9qTS7ow3jG9mWdbpf7MLxuLZbfk/ZFDyM43JwgB45/w7i+N//R6HxA/74vv/AJZUf8O4vjf/ANHofED/AL4vv/llXpmr3/xHufGcWtG98RWus2mi6zBKz+GpJLTTnfV9MEdvavFaSGXzbeKTbIVuNoUylSFZa9++Ffim98QeFtMTV7LWbTWPsiz3H9rWpRmBkkRSXEEKFj5e7ZsR1VkLxoWxQB8a/wDDuL43/wDR6HxA/wC+L7/5ZUf8O4vjf/0eh8QP++L7/wCWVff9FAHwB/w7i+N//R6HxA/74vv/AJZUf8O4vjf/ANHofED/AL4vv/llX3/RQB8Af8O4vjf/ANHofED/AL4vv/llR/w7i+N//R6HxA/74vv/AJZV9/0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBwHxi+IerfDrR9Hu9I8PXWvyXmr2NhKsDQARpNcxRN/rZ4vnYSEIRkBsFsCqvjrxR4tHxE8K+FvDN1o+knU9I1PVLifWdOlvSptpbGNI1WK4hC5+1uSct9wYrsvEvhiz8V2drbX3meVbXttfp5TbT5sEyTR59tyLkdxmsvxl8MNA8ealp2oaqmopf6fBPbW1zpmrXenyLFMYmlQtbyxllYwRHDZ+4MUAef6H+07pH9m+C/wC37BtO1DxDJFZE297atFHdvdNZ7UjeZbiRDOoAdIWG11LEANtXwn+0CNQ8Ri21KHdo81rpQhvobTyDFcXl5qVsPOUzOFjL2VvGu0sd8wzw3ydZN8CfA8s2muuitappyafHb21ne3FvbhbGfz7MNDHIqP5UvzLvU++RxWV4y/Z88P8AiDwXrfh3So49Fi1qzg0u+uHE1w/2OOeaYLFmVfLlV7mdkl5KswJDBVAALGr/ABdY+CfCPjXSrXHhnU9TtYrxr6PEosblzBDcx7XwoMsltLls/uS+Qp+7zb/tM2HhvwxB4k8TWyRaHqmo3i6ZcWlxbRFbCGYRJcOk1wsk3mDMw8hHPluo27sbvVtb8H6N4i8I3vhe/sI5dBvLNtPmskJjUwMmwopUgr8vAKkEcEEEVzWtfAnwRr+jWGk3WkSpptlpf9iQ21pf3Nsn2LCgQP5Ui70ARcB84wcdTkA52z/aDtNN0vxXc69ZTs+hRa9qLDTogQ9lp100RA3yczMu044UnPK8CtPRf2hfCuvfEubwTaPK+pJdXFis/m27I9xAheWPy1lM67Qkg3vEqEoQGOV3XfEXwG8D+KbG6s9R0iZ7e7W/juEt9RurczpeuJLpHMcilkkcAlDlRjgCtzTfh7ouj+I7rW7GO9tby6keaaGLUblbR5GGGc23meTuOMltmSec5OaAON8RfHHwvHf67ofiDRb9dEt7m60e91C9t4JLCeSPTjfTRFPMaRlNsJCSY9pKMuc4ByY/j2lhq/hDw1pPgPV7Ce7v4bCTR5xZwyWlm+n3dxbyxhbgx7T9iddu7KiKQFQQgb0K8+F/hfULmSe60mO5eTUZNVcSyOyPcyWbWTuyltpBt3aMoRt5zjdzWVZfArwZp8ECQWF8Jbe6ivIbx9XvHuo5I4nhjC3BmMoRY5ZUEe7ZiRxt+Y5AKPxP/aF8K/CbXrbSdaeVrqS1+3TeVLbp9nt9+wSFZZUaTJV/khWR/kb5emcLWf2lYPK1BdB8Nahql5p3iG00K5tXubJJsy3n2ZnERuRJHnBKecse4MhHykkejeIPh7ovibWLXVbuO9g1K3j8lbrTtRubKR4927ZIYJE8xQ3IV8gEnA5Oce++CHhHU7jUbi8tdRu7q+aFnuZ9avXmi8qcTxiCQzbrcLKAwERQcAYwAKAOL+If7TuneF4vGel2VkyeKND0a81aC3uZ7W5jm+ziPerR29w0qHMqfLIsZYE7c4NR+Kv2jZdLv9Qto9LuNEk0rTdUuNTtdUtY7i5t5beGzmhKLDciORGju92BKM8DchVhXW337PPgLUxfrd6PcXUV9BfW08M2qXbRbLxw92FQy7UMrqGYqAScnOSanPwH8EPbXsM2kz3ZvYrqG6nu9Sup551uEhjmDyvKXbKW8CAlsqsahdooA5XxR+0fDb2mux6Do1zc6lomvadpFxb3MlsZJhPqsNlJsgW4EyFlkdonmWNG+R8sh5Z4h/a28G+FbG2m1W11GxuWF693YXElpHPZLaTmCcuGuAspDg7UgMruBlVNdvcfBvwpe61Pq15Z3l/fyzxXAlvdUu5xC0d1HdoIVeUrCgnhhfZGFU+WqkFQBS3Xwc8K3Vytylpe2N2J7m4+06bqt3ZzM1xKJZgzwyqzI0gDbCSoI4AoA5+z+Nj678StD0DS9Hul0W7utUs5NYuo08q4lsiY5Vg2ylxtmV0JkjUNsJTI5r1WuHk+C/hKTWZtVFjeQ3sovMNb6pdxJCbof6S8SLKFieQ5YvGFbcS2dxJrto0EUaoucKABuJJ/M8mgB1FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAUW0LTW1tdZOn2h1dLc2i6gYF+0CEsGMQkxu2FgG25xkA1eoooAKKKKACiiigAqjYaFpul3t/eWWn2lpd6hIst5cQQKkly6qFVpGAy5CgAE54AFXqKACiiigArG0DwZ4f8KTX02iaFpujy3ziW7k0+zjga4cZIaQoBuPzNyc9T61s0UAFFFFABRRRQAUUUUAFFFFAFa2020srm7uLe1gguLxxLcyxRhXncIqBnIGWIVVUE9lA6AVZoooAKKKKAMaw8GeH9K1+81yy0LTbPW71dl1qUFnGlzOuQcPIBuYZVepPQelbNFFADZI1ljZHUOjAqysMgg9QRVXR9G0/wAPaZb6bpVjbaZp1suyC0s4ViiiX0VFACj2Aq5RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//2Q==", "remote_url": "https://www.allstarhealth.com/de_p/14315/now-st_johns_wort_300mg.htm", "size": "Now St. John's Wort () 100 vcaps", "origin_color": "300mg", "price": 8.49, "price_full": 16.99, "variant_images": ["https://dnm8jy24zqiqb.cloudfront.net/prodpics/300x300/160511-P14315.JPG"], "stock_count": 1, "data": ["transfer"], "image_url": "https://dnm8jy24zqiqb.cloudfront.net/prodpics/300x300/160511-P14315.JPG", "description": "Color: 300mg; Size: Now St. John's Wort () 100 vcaps", "colors": ["300mg"], "combo_key": "Now St. John's Wort () 100 vcaps300mg"}]}, "remote_url": "https://www.allstarhealth.com/f/now-st_johns_wort_300mg.htm", "parsing_type": "full", "finalize": false, "parsing_code": 200, "parsing_text": "[200] Success: Item: 'now-st_johns_wort_300mg' - parsed successfully. additional_error_text=''"} |
| error_text |
File "/opt/working_folder/middlewares/catch_errors_middleware/catch_500_errors.py", line 15, in dispatch
response = await call_next(request)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/starlette/middleware/base.py", line 84, in call_next
raise app_exc
File "/usr/local/lib/python3.11/site-packages/starlette/middleware/base.py", line 70, in coro
await self.app(scope, receive_or_disconnect, send_no_error)
File "/usr/local/lib/python3.11/site-packages/starlette/middleware/cors.py", line 83, in __call__
await self.app(scope, receive, send)
File "/usr/local/lib/python3.11/site-packages/starlette/middleware/exceptions.py", line 79, in __call__
raise exc
File "/usr/local/lib/python3.11/site-packages/starlette/middleware/exceptions.py", line 68, in __call__
await self.app(scope, receive, sender)
File "/usr/local/lib/python3.11/site-packages/fastapi/middleware/asyncexitstack.py", line 20, in __call__
raise e
File "/usr/local/lib/python3.11/site-packages/fastapi/middleware/asyncexitstack.py", line 17, in __call__
await self.app(scope, receive, send)
File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 718, in __call__
await route.handle(scope, receive, send)
File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 276, in handle
await self.app(scope, receive, send)
File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 66, in app
response = await func(request)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/fastapi/routing.py", line 274, in app
raw_response = await run_endpoint_function(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/fastapi/routing.py", line 193, in run_endpoint_function
return await run_in_threadpool(dependant.call, **values)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/starlette/concurrency.py", line 41, in run_in_threadpool
return await anyio.to_thread.run_sync(func, *args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/anyio/to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, *args)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/working_folder/api/logging_router/api/product_logging.py", line 495, in log_product_upload
add_product_history(db, market_id, remote_code, json_data)
File "/opt/working_folder/api/logging_router/api/product_logging.py", line 319, in add_product_history
.first()
^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/query.py", line 2728, in first
return self.limit(1)._iter().first() # type: ignore
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/query.py", line 2827, in _iter
result: Union[ScalarResult[_T], Result[_T]] = self.session.execute(
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/session.py", line 2362, in execute
return self._execute_internal(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/session.py", line 2237, in _execute_internal
conn = self._connection_for_bind(bind)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/session.py", line 2106, in _connection_for_bind
return trans._connection_for_bind(engine, execution_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<string>", line 2, in _connection_for_bind
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/state_changes.py", line 139, in _go
ret_value = fn(self, *arg, **kw)
^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/orm/session.py", line 1189, in _connection_for_bind
conn = bind.connect()
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 3278, in connect
return self._connection_cls(self)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 148, in __init__
Connection._handle_dbapi_exception_noconnection(
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 2442, in _handle_dbapi_exception_noconnection
raise sqlalchemy_exception.with_traceback(exc_info[2]) from e
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 146, in __init__
self._dbapi_connection = engine.raw_connection()
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 3302, in raw_connection
return self.pool.connect()
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/pool/base.py", line 449, in connect
return _ConnectionFairy._checkout(self)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/pool/base.py", line 1263, in _checkout
fairy = _ConnectionRecord.checkout(pool)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/pool/base.py", line 712, in checkout
rec = pool._do_get()
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/pool/impl.py", line 308, in _do_get
return self._create_connection()
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/pool/base.py", line 390, in _create_connection
return _ConnectionRecord(self)
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/pool/base.py", line 674, in __init__
self.__connect()
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/pool/base.py", line 900, in __connect
with util.safe_reraise():
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py", line 146, in __exit__
raise exc_value.with_traceback(exc_tb)
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/pool/base.py", line 896, in __connect
self.dbapi_connection = connection = pool._invoke_creator(self)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/engine/create.py", line 643, in connect
return dialect.connect(*cargs, **cparams)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/sqlalchemy/engine/default.py", line 621, in connect
return self.loaded_dbapi.connect(*cargs, **cparams)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/psycopg2/__init__.py", line 122, in connect
conn = _connect(dsn, connection_factory=connection_factory, **kwasync)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|