本文实例讲述了PHP实现将base64编码字符串转换成图片。分享给大家供大家参考,具体如下:

步骤:

1. 获取base64文件:

$image="data:image/jpg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wgARCAInAVoDASIAAhEBAxEB/8QAGgAAAgMBAQAAAAAAAAAAAAAAAwQAAQIFBv/EABgBAAMBAQAAAAAAAAAAAAAAAAABAgME/9oADAMBAAIQAxAAAAHhKOpzp0e3xu5NKKuqB5yXGm6EYStaIC iGEsYkGu6m8n2CVcWjz9cCloMmmUk01m7iJnUDNyMu8xM1i2r6HqPF92K7u5uTE1Y6m4LzfNeR1jqd3h92KWUbAzzGmbc88rFiT3gg8byUL0MoZbEVPu8/oebmuSKb1yzd2FXdjxojCYCOGDjCeWaDe4LNEtVbS9qvXveM9fFFvG5LurDyyTie2fT73B70UstviNJ1caooyguTGhUYJQsgbG/pZxV0fHeg8wFao1xiXsLOXqq03nTpoX0bRxV/QCDyyXruW54RYIG12orU9T5jtE j2Iuda1Ww8vz2ldc p3eF3prmpOcwa8VlQzpU4AlbDBIcF4zYRwJk0eJ0EKWy0Jq3VO8qN1bZVDJvQYskQLDGVSyHXCn5Pm u4dRznFjphbXdH6coWJU1IjyCzK2ufV7vC7irmcjrc1PmySohwmBYgyCooihmS0OHXMVx07up2O7Y76vk gmilyQe5q6Q5ukYrVKqkvPTPB9Gin4rDnPuGury wHXPgqm61hPyCxB6Z9bucLuq Sk5zUA0ndR0V0jiEQewp5HAdUIaQ6A6I WUWrm2ANqvVv bbT9ATmvAxoW6NZlCzKqal5uNLVOGL83w/Q d1yd7XE76fZ3W1NCJkXjlzguet3OH3JvjoP84OeYJajdgyBdrbE1aegaFdgzxu1xhr0YVI3o V6OaGEmh89rpaaI0owg cgb2BJBHb1525v0k4PTilPMeq8pcM m8v6wOlqtKcVMM8cFlap6vd4XcnTj87oIC55NlqFctZEvolgHRSBnZYMnH7XFToHQVo7Oe1qb8ur6hCo5vrfPdpN8wGUZVYSHql/O1PqCeR6c36KqYz04/jfX WvM3s/Ie0Bm6onAyBa8oDeGur3OH3JviIuoCSOBmpBm8hqXkVkGcNFXZTZ5XY55TA3yldYgzqgg6VOOYw1TQzCKhYR8quf5v2ILnzvQ6Dmegnd3F UwMlC3r N23lrGsOcD1hryGdZZ1e5wu5NcNB7ntKuJMOSg2uIsHkGjokCNBYG6h0 fNuGDE y1z3m2JiVOhUACnXYTxgoorWSXpGC51nrYtozXJyVtzfRUbvGD1hoZBtB4SiCZ1e3wu7NcPnvqtInxhywmcAtVdCYzMj00o6n1Uekir1neE33 awx/IIzdwQNbQyHRAqWLb0DWkFsOs9K5x UTT4mXDu825wPYWF1Wg8NKtnT7nC7kVw e g0tZJU2B5YVXrAMQVAwwg n2VnBzpzd52hkgxM6OZdLWuL1SyUrlU3FVieroOnJc5QmmeZ00FDjynQpaq8NZHqNG3i1XiR1Yuj2 H3JrhKN85odVdScBwC3nUDemrADODj7WavPTnwgwKhvDOs3zOhSSH0kTYwwYmxdC2TPNSiFM4KDCBWSWzCK1oehtZIFhrQiAm/Ga1ly/2 J25rgcjtcqpy2lqp6KxIFkHmpZxVVO83kXQPznstrXe1N8oqPLa9K94tpz7iI9BsdGpXQsKZ6HyIqSjYT1C/QUcETeNNQehNaYCYBh1U143eN3L/AG H25vi83oc9yN4JaiqkqIyQuFcyMp6Ses1tG3UTTfRX3zM9eVVyoqXGE9F5h9V6FnzDUaekLw pnqNwdyg5eE5CStXG7qhUPWKTGpgA3mTXjyjJUudvidtVxUnRtYFqtMqYo YbWNclB53VQ0QtjL3ZD1WR9jlO8nPRWajMyWgnYUaL4V6y51rGkG9J5Z6NPbaEXHYY2MkiwQWmedDNUlEQKebkH5HQTOWu3xO0q5AjJ3GLl6ZOWu5y2Mqx8TaTqzEiCJ25ZmhWEAUyoOylDm308KuPsQk71mw1edI0YDyv1zImOffOdCAnA6/hbjren4Ho6kYjBFJUDxxhFctdTl5GEaDemZpUuJ0 Uzi962ty28EowQqx9cFqtazogyJ63VpnFrA MBgCclwLktPXoOH7KNHChJlrkRFQ4nC11N8PRG5oc7fNz2bk1FEn5HYTtG5b/KaklVD5eYzUsXnJPVRbS4tH6zpPnDIPqg2CY0RWwGHrOsTV4sYbV6qrOHC0jNnwq6PpuX1MtS2JWad5OVdMhNDl52bNgZhRiaeqtFeLeyyxbld2qng57YGuVGlkmSos1HTUOty29oSqA2u/wBCk1LRShKBqscWCLSpcBRGsYKWapoWprpY5w5pjGZee8Ewy94IBNY1LKwmzNNazkrgg5d65dTfOtrqa4pk kpca5se56OkuIebKGXTnV5nUZUkc7MAwbVLzk4YBHJth00yZXUaaKM0sIyCpEIHQiTAwLkREynosVpgBmz1MD8Xn0CuuXInRiOdXVXbSu6FdSIkkC7qx66PMcEaTTVkEaWov0OdIJhO7GyoFacKq5LNcDN4rY3O7FEZmzS9sCPhZtYNFLnwbqhLPKQo9DNS0LIxtaStUmquIqXAq5AkkHp1N4WoIrR9TOF55XQ5jWZJqpdQGHOZaO4Lm6VPl5cT6ocDyZDgakIYJ86KTBIq9VOiecB7FupF98okQTlQV0iSROSUK5VhLoobacWhruBy03kdY2uowPeAVIySQJdQL3ix6lWmYoGc2wUUypplY dHILcMuNC6pDVwpBbO nlIi7zRDkk3JIEkgVJAhgxHbPwuthUXag01GENZ0ZfdrFyBUuBUuBVyBqZ0mRxIs0ZgTeNbNi82XQN6pqVeiBJIvjkzrq5K5ryCrMuKquRFSUEkgS7eTw/LwcXHz6KqTaYYRQzhtRkkiJJAklBd1AJ0Oc1FtHSrJu0ge02YBmMbEQrOqkVy6udXJSD B863ty0a6Ig5tGsoJGLRbvLDJ0kBQJV1RJLCXUBoNmYpJESrgSrgSSBt1HrTSRGrzYTCkvoHQZzpvOsaFVUb5s3OrkzV2ElxOZ3SYs1AAq7hidHiYIwBOpIFXIEkgEOscS9EyPMuBUkCSQN9TmdGaqtrw mHL 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 wqFJfjKnNWrpUpX TVlhquipF3Vi3Thvr8y7afZie3/8AALnXG8ZK2uRGbupq3sZogVFbKp9i2h4xNbSSk5ddi3VcRhKpHqoafR8y7afZiO2X/XEe6XNPKPIhV2Td3DeT3reK83TjUm5yztnYjE9MlG3UinLS6NTVFdOF7PMuIduI7W9P O9dnrI1QZ7NBHgUXJehMcJFFflp71pcY2rd9NhRFTZCA47VEWzsWEajDVnCpF3XRhe3zLth24jir/1ma7BdouxNoVSZSqSc6C/LUZWd59CQoEKRGkememSojoInRaHG2SY1s0LnBT1QFnhe3zLth243ter0c/8AWLtP0yo84bvrzsPdiQyKIQuQpEYGk0ljSOA4FakSjbKDupIt7sHLTUXRh5Jw8viHbjRpywfoTP49Q9CoelNU9Mi3tsz9cqfbhucZLYRLZIpxuUqZGJYsWLFiw0VYFWkOJDZ8pmFf5Y9GF48viPGMKj/4pcuxyfpamanpVSR6s0vXmevI1OVGh2Yt3qERu7jzQpEYFi3VYlAnR2qUrNxsRezMJF64dGFPL4jxjSp9GcvqP1Hxkv68PbQrvceVCnqlShZJCRYt1uKZiKVnUViBbfCIhxnh00eXxHjGc1v6 c wfBLP/VP24Vu7iPdmEp7RyXxYhbV0R5RhiK2zw82zy FxjO6pLTQ9SIpxZZlbkeUZDlaHqMnxipWpC2iilHVOikor5Km6xK2jyjC8row638sXGM7q/wBJ muRJ3RLkl3L6yr3V5fmfOVJ6XHEStHFWIYmEhSuX GXGJXtXKMGs3lhefLFxjO v9RFJx00SXpl4F4atVM1wJtNLmpvVqb1mrMirlLDxt/FiPB3Hh5wcJzgQncTybHNDrRR/IiKvFimmSKyupK04mD7MnlhefLEYzvxHYLszfdk Id/Nee2InyjDwvJNRTxFiGJi3qUjSmJWFlJlS7JUps9KYoTQtSIz1Kp2zfvgYT6ujDd3liMZ34jg/15Ll92UikvyU961fbEuP44K7w0Nq1SoinTdWUklVo15RnTleIhjLF0j1IiszShwRiPbR5cTDK1LooRkpeWIxv2Vaba9KZ6f41TiOMD2XvC uIqhOrJSp1JOdD7q/8AZa/49CN5UadoVKKkKikVMFcpYXROncREnlUm7PE1JFOtVc6de8qUtUTHO1FQd0rzoq1IY8qE25 WIxv2V21l/qyj3eRcz76Pdh/txC/5WjVSwNP3RRYdM0M9NijlEqCW2hxKmEqKWGouD/jqq6FJ01YxrvUSXp4eN5LjJ5Ybv8sRi/sxPcP6co92UU7y7qPGF78V/ahtSox0SiLKxbOPEsnEszQyELCHxVeupV qjT0zzeWH zyIxX24j7DTqpKkhqCcdN1NIUxVMqX14Uxf9lfRCREXQ83lY0mnOrK0XC8ow11KG8h5M0mH zy TF/biPsNSjGNW83zHLS2o0Z30EUlSwvbjF eP9cpvZZXHIuL4LlSWpzdhLTToR00xjFuyh9j5eWL 2v9mljpScY0dLYsk2o6m8o/VhvqxnMfo/aDIsuah8CLlxv3rolInLTHD  dTcWbIclLRrfLyxX21ajjN1JPKHIuD9Mv9WHX4cWrxp/VDuEy bTLtDqEaot2mXLlyUt8TO0cPG0Ie6ebF2lD7POWJ 6v9mUcl2qEjSrew1ol209qVeN40uyP2MQiUlBKpFrXE2LItlcuXJz0rxWXtXtpQjpiMfRR 18 TE/dW3q nI0EfTtdGp6b9EuV2T7EfuQn74k46oUl6TdKEj0qiNNYbqQVPEOrJZXstWqY/fXgtTyYyPPm5SUfUfIjEfdVnJTu3lHtP1GKLNCH9vh8W3y/3QeVWG8KkoCxCJ4klqqypU9Cyqv3Q5bsqKvKKsuiPHgo/a RGJ 6q71Mo9p tiKZJXFBCtrTumSNUbeoR5i7EXdNXJU7FjQ2QpaS2XBe7pcVpbUoaKa6fD4uUftfIjFfYJkYpkuxQZZIujwmXNW8KsjVJlhwyTRriUprKxpNJYlKxcn2i2jbVUzYyO78yyp6FN8i4r/dNe4SZFaVvmmLl5RdmhZYiqr6mXZTryg6GIjVSyuTqaS7kJkotwUdykvd0Mh0U/slyIr/AHVPsQtujQi1mcjWUJXSZiKmil0QnKnKjjdUf5aZCTkSgpKCSWm049ukfEVZLpXa Mqf2S58Lit90  ER5wXtJo8rOk9zFy6qUL0vUVF/wD0JkP8jG0MRTkpWYmJDhvm8lz5lnD7Jc5VvukvycF8owulwSRLlZMjs1usX3dFOGuVSOiL5EIVScXhK2sWTj0Mhyh5w yXOVX7rbsSIrfgWT4mI4zoyK89dSxbPC8qeon3iPL5oycKkXdZ2zjx4zjL3T7sqn2yecO2RF5PiaFmyDs5U7PTZuncdPf0np1umRq 3Pyxd1N xdGPxGgwmIqSmPoj3T7jxV7286b3YuTxMebEPfJcWJFTu6fNGOqpBbDyqTVOnUqOrV/x1Lew10Lun3LiUtMHU1ZLJEdyZFi4kSFvmhc2EcjKvd0rnBUxZPL/ACNYirulFU6bqKJ6uoTumslzPu8YqpsnYjK5bJlKdia2iyPEiWwnlcTF0NlTu6YK8qUdMVkypNU4Sbq1MLT01HVbE9R4TPBZXn3OWmE5apZU53HlT5lx5gSJkcmQQl0S4hTTKmHtHowcLyWbZifyRhTjBp3Su8k7lyOS5l3T2h0Kpk1v4nzS4kVCA8lsLKwzkirKtP8AHpy0Gl3w1P04o1Eq6PWuXuPi5wcC9riRyjylvWTcdEjS10U5jIdk aXbIm94K7ZHJZMbIM9R5SiKCukQSupJDrolNyF7hnEuCPOSSFYjlFdDWzpInS053uqb/HU5g7QnWL3KXbMjkspEpboQkWZGIyJO98uBFt V4vmhcDmkeozWxTLrOdK41YTKb9k3u5u2VPtmIQuCpLZcnAmXuLKJNnmAi9x9vi4hbiWS7S7NQqg5mtkax6wqhLTpNe3RT7ZnhPJvabuR4LiyQtyKKhfb9ctYmJNkYmhi2Sz0tdd/gpvZ85IlduWy1EZXyTLkRGqw fKdhuxqN7QjYQh7JESeJ0T/AJVM0odJSP45/GPQROmi3w0uMrZ1ecrkXtEjnyraRbml6rIQhCPFhGJ zKxdGpDmVJfFFWiIWTJ89EZWIzQndeEdyXtG9xC6P1/WcFI9GOTHSHFE9viR4IlspvbquRlYlNsc2KbRr1RERLiyQyQ icrFyUr/ABQjc4PMc57j OIiKGyIhZeZdEpWOSWy GEHJxgoxkt0jWKVycrRTuT4 KJEb0pCEIvYRLPVpL3ZUe/wwnpKdTUWuOI4GkqSu07F7x KPKelJ3aELnUXuRJZvcR4lz8UJOLhNtZVp5r40bsjEUS1hu2XAh9CJcP46dPOpU0pu cSS JH6xE0iU1LNMTH0z4 FK5CkWOCdYbv0RZJXXwo1CkiUriuRTIrJdco2LFhQJRt0KJFKJdE6yRKo5dceJKz BGnVBbZ3ExbiXXa5awkWJQunFmhihYukOY5N/DEl2/AiHa7X9OLHFxEJiZHjqtnfKwxtj OI 34ER4qEJi9ynCwiLIv4rEtlm0aDQOBa3wJjXwR5Q NJTZypw0uJD4bZS4iiSt1Sjcat13E7rSaGaDSWzhyNkWkvMRq60WI9DGIt0SIcNXHDqcbko260JkXfKyHG445RVkLdq5yL2tP5ZEe3J9c4/BTY jRuMgIQxcD OYuMqiN0LNZNElZ9SFuskN5Mh0L5ZC4yZJXWk0vpmvgpvrpizQ/kfK46rI0lms5QLdUWJ3XRYgs18rOfjcS2TQ4jj0030wWaXzSPOb B7pprokuiHPRDJfPI85v4WrjiWZYsOJbKjG7nHojkvnbyTzfzOI0KminHSmrpwNDFESEvnlxkn7sn89hR/8AM9zQaGS9s1UJVEh1UamQnf4pS0pVd08ln5/8tbuuXzTsKbI1L5N2Xqo9ViqNEJ3yk7shO S/8P8A/8QAIREAAgMBAQADAAMBAAAAAAAAAAEQESACMBIxQBMhQVH/2gAIAQMBAT8BEPShsb9EPSzRXk9IcpTQ0IoWEPSHCwihoWUPxWELaH4LKFD 8ofgtJw8oe6KGhY5h5Q9rLKOeZeEPyqH9RzHT0/OhwhsvTys/wBf6Uv jW1CHlZ5fLVM/i5O6 kUPKhDmyyzllnyPlCbKH4IcpHSjl45OWj5CHzhShjFDhFyos5cNDWunCl5uUKO2LnLhOX4cwxu2fKi7lw1hwtIs66leawhD6L03F6YsKHis1tYU0UJFYZe0PwUMosbF SxfisUrSL8EWXClFl q8a9VqhIXJ19FeqFiio69l4dCiivJeHXqheD8KKiihIW3i/xP8n/xAAgEQACAgMBAQADAQAAAAAAAAAAAQIRECAwIQMSMUBB/9oACAECAQE/AcLhFcGtlsxC0vVrVbra8oeq3XC9mLs92LZcHhasXZ4WrFxQ8WJEsLVi6Isk92LgtF 8PC1YuC0Sw92LgurF1visUUUUNFFFYY2LgxCxP6HzneJLVlDE92IR9J0M bpi9Hu0MTFqxY q9wiD84vEIje/1jaz8uEsIXg42JZWEyX6EsfPhIojHVaf4V6V6LRYeKK2Wv4 iWFz/JdGxSy82OY5F i5zZDSiihjx8/0XwUhlCVLaWGVZFUuMlQpC3kMqyMaHwbok7Iw4MoSSw Eo2KKXFjePSMr/iY0PzEMWWOQu84lkcWXiPdjj6LWH8D2h/Muf5 lljfBSXKVlM9XF4h uct//8QAMRAAAQMCAwYFBAIDAQAAAAAAAQACEBEgITFxAxIwMkBBIlBRcoEzQmGRYqETI3CA/9oACAEBAAY/AtrpDNEEFtviTQtXKsRa2Boh0WOXA22kM0QQW21EBGo7p27XJZmOULlI VzEfCABrhFIqvz0O6b9pQY7sN0QQW09wgIp2kfEFYgKqC Zqeo23thuiCCef5rJv6X02r6f9p26DDtINFylcpTUNY3R0eOV229sN0QQR99jodBWa5lieyEHpCK5W7X2wzRBBfxrYdYMfMu9sE9KRbtKNp4YZogmprRTmXb9rL 1ylcpzWRuenKk06Gt209sM0hqb7pzQWaGK5ihjGTf0jX1TumrbtPbDNIam62MgQNJGqJQ9elda/2w3SGrZ62M0hsDSWKqrZXoTa8E/bDNIatnVtV9NqP tq k1DCmEDSPt Vk39LIfpN0TG2DjngP9sM0gaLZQVzIaQNIK Yp EPwLsVnxDJtf7YZpA0Wy0g7xWbv0vuXKVi1fT/tfTCbQUk2ZRzcDNZ2HgP9sM0gaLZe2DrYZbom6r5TtbeyzHCyVYKN7/bDNIGi2ftj5sMjRBBP1W9FVQBeMlHsFSuHEdItdUfbDNI EzdH2rJZjNY7QLmXdcq5AuVv6VFnD9YKEkgqrrvCjjRUCx8LpKENtdUnlhmkfCYK/bA1kWFHSDrDq vDPeqNBgi52arTFYmAETRA3H2wzSW 2G63BFP0RgJ356ElM2YzdmgPS46QzQT8Q3JfUCzJWRXKF2C pD0UNE3oqrf/AEi646QzSfiG1FUBu2YLJYkI490U1N6LcGZWgQu IZpPwFkmqu IMYLOPmGodCSt9yDPW/CsMnCizsNrYahw63bogu9MBwWQbDpBWSFXLuVg0JmiEU9LalVqs F SYAvEMgxksXBHElcsiW6QYEFsEKnaq8JxnFUDZqqxu ir6cAY1hkFEArOHW5LF1lJcZqvWMAs7A2KpzvXgiGQUaS6 s1igVb/wA2F0UF4kQyHRisBVHL44eEZrNU4YHCFK1hkFGceJRucg1WBxtrAkm6tjYZJ6OrTiscIyinHbrDJNuN9IaLnkZ5Lw4lcoXiCqCgRxm6wyTxm20W4y3BxW67PijWGSeLS4lFyNoPFAoimdEJCIVLxb/jafEhsz4rhrDIPVi0uPZF57o7Q6C4QxVWfV79o2QOqAQaLgimLdvPSgWFxRd6red2WC/KqEJzhpVZx6KpCc62tu7XBYRXuq91VD0tytoZHFpFBwTFQqqvaMMrsFlbQwOLXgUCKB7oGMUQqKhWPBw4GHBpwaqsUjHgUszk2041LqKiP4VeNjbTpKKirFfKK3VnCaFZrKM1nGHCPQ07qhy81xWU59dXj18goOnp0lPK6qtmHUUHlFTP56ATgs kxmg8qw6MeWBYhYeV1jFV8qqP AY/ eDFPNMbKdH/AP/EACcQAAICAgEEAgMBAQEBAAAAAAABESEQMUEgUWFxgaEwkbHB8PHh/9oACAEBAAE/Ifqh7EAn6hCQTNl7Gk1fcaFy9MfWoSuEQLHyY2XspB6zSG5ciXxsa7bfUmT0JiZLZsglsEzJikUIIIIPrR4T9AQtAMT9yGpcvdJpw/Igf w5eH7RUN4nX8AKG/eCGiC2FuBJ BCxLwSkzCJ92kNJb6IzbCBE4WC1JRKOPCy7retl7Hhf0cwjEn3iTVyJC/62M3ewhol2RChxLwQXghIfnBsyDiBjJIggQZApkhLAaIIIxOCxFKaY2F1K/wCtiQzEw2d13saH kb0v9Q2zlHUy8bgQt9sYu/8Bty5yY7dLeFhZMfA5wQu08Js6GIxB849xVMSpW2haWuels0f1sf6ce8/eWPqCKfCaRl8iGmI/IpMmZ2s0qfJ8gFiDeF7PEQY66Jdo7Y0iGNeZLqRYHMZMSMIjBvAfrDNRl 39M9C/wCvjH8YhbZUf2Gx9keOqkNIxHfHlxgkRB4yFaFmtBTPGeAYwnDEBSLUxXdEWELCBQy3XI8N kaKRtIdy3jPB MGcb3g/wD5RJPT2LsMVL7zV3hI2CJV5wssb2stDBChBZDDxZExiuMbQDQ7hyViYS6Tbr9Y/wB2JZLueZ xS97fJ5X7HtmxHQSLn3PKn8YAnJFxpFWjPQIpeBSYFSZGhFGCCCCMJSZiSNxEwWmhirQ1wIWNMqdPo29R6PPo/sw/vYjVyp5HG9gTI7LENCgQ5ZDVkEGIIxBBAlJAsDXgjYuzEcYWO04kMfXmg oJd5ZXSG/gxA6V7YynD3Ntiy57DClcDYBKFgsQR0IQhi9jjYWu9kWHBJJm0mhYfUmo1fAhJE53iO0BC4f1EoGkNFjjwojh2F1I57MaeQ QLGWfJ3ES8iWlihCy hE4EIPg3CUIeJvYw19JqHN9BjJiF3RfsMZe4Y gES QnG8NPYiJRthNJC0PkSsgMJXRTFaMQTJG8TlvFJ6CuOeQhGuPtMNfSasV99ieRKVpCVtwZ4hdh/6pA0j RREp93tjiSvZGv2XB33swOYsTkiNbHKqwlIY9SbcDEUkxOBDnCELkBvTNMYkBxbMWNsN 6SNPQaYrSw kw jLGLKvARFF2iSz4MvDPFeyEP4hazHmTOHSQ0ka GcgFeoOje7xp4hrQtBY5JPucNfQaLCNjrb1/mGWQ 9hCw08BksOnil9AObPifdMmYHnFFCFDF Rs4I4WLwNLw5zWBtcCYtHZFh4LaVjA0PRxh6NSltDH8xoNQSetbQd6PtoTqLS 9kGv6sRe79ISjhvZA8s3Pc7HzMhVIEMNKuxBm0QzV6FrMbJjKHAr1RBMWPuzHtaMdCzGhUlRAjEKkuRF4TCs0AiUoTmS wiBYfsthohnLNI2VS7ke8Cw0wrGrbYx/EaYEOMqaY23yRHsYeE9veNQ8gtvZxbesOUxd2S9oIEIT2hrLCMgSjbCpJSbFiDOoFsvsQ9AdxGWMY8ICLqUj2oLC4ex8fbDH8WF39FE GPsMM1CxrT32PsG72KSwSH9IWQ WxfYPJoIJDRkRrIksSJhq0JjI14UZnuQRrck gvsQWO414 5GHsGh/Iei7LhPBaK9sbcOXsh4XuQMtJI5EFfMS7/QImJP0N2yjPSFtxFN4H9whRI8rBZY5FSEIyJRIWDT 8x7m1pPAn6oQ1DpYKh9iM09AWinwLfFjtIP ikCKRxs/QjRm7I51S7k1p/JA8pCXFh4GJOK8lIcTyWzzeiYYniSShILgY3I/RJh7BeTCQok3e2Hf1C0bPQv/AE7Ca6Z/BU0QuS6yw6TNjX0ETtmpY9hn8kn2lPsJcfVEYMKLEmFEDpDKRlxDEkkkSob2NSTdYypXK/QkKMcjiWeINpw94NvVCGuRjgVwbZyW9sb6v D2fTEcPedfKyBCYGr4LOJw89OWcHGYt07QzlDS9/QGhJ4oe1lvYpPs8cAhnGFfcg0 mMPfohYm30s7t5DEbj8DHL5KhS yn/gQr7Q8yBfhEWNRt0KubDliQEJC6itMk4DlyeogiYFiQ0u2TAqTYaCW3SxIhjQ2x8LFfkwfwQtYiNiSmkJ909kFoerEWGn2ganSfJM3F8Entj16YRoeAsIvAs gWHIqYO0JkO0MLccoTPskOoNur9M8X2TJVqTTl3YmGrm0hv23BFEUcFlka tBaxsMLJV4EYGb0bh79EaDhEQSjQ9xnj6uP9iEtLwN8oFJR8CSi8wcTcQT/oRETwSKgT4gdOThIDT0xmv3D3GjshGlS8SNfE5FkzfYh3MsKSLHLGyrsVCc6e/RGhAEuNKz9NYSp7JkThfBHSluBRqT9wJDQXhwN2xUEl 7OBCQx7Vomtok0hSS8DG0kskyE2GCR5INUIboesaQPGQ7z/CNMCYYqeCLL5DIxL4hh3oXlC7BNhmCiInB3A3Y9X hCfsXWgux/YxsKxyPU9BQQhCzGO1AtA 39sapIQsGEhwe4xsZI3HHqsCglKRA5Skl T4LPwNGhDQ3cSiJKjZCDFxpQLNqbZ5DzGvhHbotDTiAscJgeB ocEjIrYsPY1iUwqUjcvH2jYceqNCzez7IksRXhH9IeyBwLyMyrgTZR3hkxmJzIduh256EiIhpMlsWk59Fy2RAWUmOYhFQcdWhdOXmCODjFEQ8HnKb/YvpWDZ7PtnIxiSW4RpJZCjAm0wySs5mCe7LfcId4djFiMPcNkgl6RI2JQOonz3wAzGiNQRqyZmRAhDUMsmD8dEb/YteqFo2eyT3mg8FTSUhmWKYfJ w0LKrF/UPoebhZxLgkmTFoYZpxJEEk/I2LKL9mhBIRGHsYSzO4eWQRit/s/yhaN3saTeRiVkuor4I/sJbJMhJOxv4OSVeBLtaVITNjhlY7Yiu5o4Hc4yUQWBwRLJw1I4D2MSPc0HmnIrPtC16oWhb zYTYpReSErBs/qbjaBOFoYyRJNPYxHnEJLtENXcFG RsH0iZbwsGloeh jwdInEak22uCkE XtC0kP0fTG/2LXqsGsJGJGiHxElFICeR4aZOj4kXuLQzh6ErLsKlqzQ3CFhC2cCOxJAiEPhq8JJNwjCmgyBqM/cN/s iLYzEajkeZG7GhjQUFWmiTFzEH5GlREilhsVZO0C1IlhLqtrLwivRtqnYasVtwLEiBRbG1lo3BBj72MvrNK/LGNImuEMoIaHomCBxmtyKBOrEiJNFRKSLFqCiC7dKIteRKjSGJw1AJDaS2xOL8Bc1RjLzTYp7gmTL5N4JCDcIZcIe5sJwxCQ1lGO1BDdjS3o0Xo02a4QoktiVFkxokk5BXYIIcR0ITOWsUSJSOypXBvJtdy6TtcEQZjWOQxF3ig2WxpGNHsSXN1yobynA9wHaCBGiZ5qwtOF1BteCtlRcaG0 DQd/IqBDfcxw4IJmtDljIXtlUNEIVI2ilqBxeTXU Sij8ic62NpalM0thKWuBsI2vslkLaNmw B0f4Aw13gqGHAmdFx2xTkQ9YaFiXD5Ym5KII14fcim2kKOSWzypDJOAWaF7GkmBNvHLRBOKnoWpqiJ7HBzA iJckjnpQhKMUhNITHmkljmGmhOHJQJvQYXAq0LBAkGghIE0NRNAI1hyEymR0yxoHlyM2w1VrQ4pV7E5UjaWh2rsX3CKaPTElWTLErFgbCjZBHJegoGk5b5JbIe8MirI73YwhIUQWsEkaIICy7ETgxBkPd4RQyeWmJvgescaRDCpomxXsOTpkuCW5 oWCTzCbudworZdMjJCR4Xn7nImUQ3OUjThI7xMaZFIa8jQExyWOhqEEWyDcCF20JqhezdoThPxHBQSqXI8oncMgVWM4RNDdQSN60xrpklJL6kIZacKgoh2lFChIQkMkiLi4djZyBtafKETjk2kdnJF0UKVNs2fdiNVyOxyZuKcij/uiTYcag3wIRIOD/AAvghQIQNIbFOCXc7ob7NtcEQqJFZI3bvPJJ 8bfCEDdF0l2NhZ/voZJQiE3oTrgWEzcXhhqbH3hOkSV FbxE0M28WPCGnorC2JgTQ5obEpvQogmxFfknZicsXtsXT SZpCR4HSSNjWMJISRjctxQktE/h2FoN3AgoIZEW5fUoDWTTNAxhKzkCCOXI2KJ7LUL/BaEEmEaYRiSEOEhm/4ntMUOglISENjHlAkdaE8IeEyxM/JbxITTzIigw8cYjWxdH FDSIAxkJSbUI9hDmbgm34FnYQ2W3jqdh2EuAxs87rG5LRJH8THoQvkapYrWCpTTSGaDnfkESSybeFBnopkZXEhLHhgo6Ys345Ai1omcf62bUc/i3GnRwhpXIlRS4K0Ch8ipI h8QJYVc3/EiUEoVYVEthjS8rTIHP4zVo3c2owSYnuJ8lUMi2MJYh4VuY/wALWFK0FAbSWR8vkY0voicGo/GVEngcNDGUpG2JQevSxqVBKZITsZz0KB7HGhQTMFPZm7ddScDz Oi45ElDFEi0KbROQkmRLxh9LRIYlpHQyScQLtCthg7BsG/wvZdvxNIZYIYlJaDaDZ5g i2LQhCyks9EEOaJTf42ss34dh6kogNHUA02hsFQ94jDdYTENSIoCbbHREiz3PcpobNfWiehyZBHVoNEOG2CURDK9DYveWoIsggSYjGLZjTAxKscCLc/gSgUTJ4tR2Gy3lZCokZfFIqnFF1QuKCwqjkbJEwZ9hSEiMaiGARqjRJxmF BNDwwhNDg0KEKIxkxgxcNkPwNRMoGpFSJ6IXYrp1NWHoRJ2UQLCI7kDla60yF4TWELYOBxbI BH4IppyNITG6kulqNeXNURsQ2xa6FP4AeGOEYZEzGxDfQtcigUdsJG8LMYZGGx7NWb4CZBeLQrLOYjqRbGIkajDG5JTkkJks6JyxsY/QmPHgkH2lgT7jsZtEl1QPExhUMVyDCFJgbkXXJOKo2FSyx9Cw6WzyGIJdDF0IogeicNHIQJYtE410LMyJY1Fm9YMQsLK0FgyZGhokcpZVDh0rxBBphRV1LobkROHsWmWculdEAbwWRBONE0tFcocMvBeFhKEhMc5eJJ6JxpEjEcOH0ODuLHC65FQm00OMTSigH/iEN4ZBvDy8YM1DgeHIhZ7nPXIkexa0LWaK6N5fVOEsIGkDCiKi8Ix/B5hrdxN4WHicokZLZQiRShYJ0LDnobF1LKy30avRNDZ5Y0oT5F1asTEzPg8TwvHLk1xI9t4UlIFhIn0t/gjH/9oADAMBAAIAAwAAABDDGry2pvlku9ziNvXywKdxZyP6mf7JR1Xkaooax1q0Qp4S cPKM1Aga4VCwxzmrBU/Yjs4VxBzBXARyCwJQjsLLv5428DOtVtzZTeYgo148etEboi3z2uKdMz74cB2mHpx/r9 O4uQwoGDTbxxcj468/XMbWiRQmm gZyD2zsXxIl/02Wn2 EyO8/gA75kevW erJjSA2gjvHJSLe4LyLNGpvN1Foh3DJd/b71WXevXpz83MPZ9TsP5tIMvTddfq/ADFekH0gZvOINdPUr/VVUMnO03oVXYv8AFRmxwzlSGbRZQdYI0UqXFAIvnlc2gW10IroTDcmM3 ixqd5C/wCLJRG0NMaqJ3BLrKsJZcM0c5MVjOLA3jd3JDwZx2qB72TPvyzf8W  dsp7JAHt0lW IKjLXgFys8hfzeqeI7Es/pa1KfJcCtv/AHRD/Ol09a2KqCJzZF8EbvFvv5sR2V9SAI0Q1G6s6W/IfMzZWE580/vONZU09fy7dvIxOd2eCDByAcsHauRZ3 /TnQARv3zqPo8v2/djfqPHPNtTbs/2vHLSuf8AsrwtylDAHFOu3nNrdcbPwGfhW6C4qSSXaJ9uNa1VaKPdNGKiWD6KKWCmmE0O6ie3fmkGKO226ODOaltuYEpInQGTFk7uoLuZG9STIdKITIMj3VxGIBwhV0cBIb8m9r/nvOf8cRImAMESiCcJzHDsYNlFroCX7pgPiGABd94OcwA0ExK0ayY/2dtuAq5wwcdLCADfe8chiii9i/8APoAHf3w//8QAHREBAQADAQEBAQEAAAAAAAAAAQAQESEgMUEwUf/aAAgBAwEBPxDwbPIjLZgMjbh/gp3Bj6l0T1tQRg1ag3DqO5ItvBj6nEG7h5HMhNwfIe3bgeTth/y2tZGF8et8l3GBLDLBOXxnIYcGN5J X7C3bkgyflxH5btx4HJhOwnUGNRgHZalvmQyatZCS o4m/IctWuS6kNqO2eFvBLJbcRgWpey7ghotV2wFrdrV928Ho3FrkW5Ih9hDAdXCXsxEYOSL8jG47HUuQS0YHIwYNrwPkTEAg5si/kW9Es H56dyIz8wJH7u0EmRyL8hiS6wVC3bTBnUMiP9w5OGYPATyXBow27cxgB7IS6v3JPT4nK6iOyeM9McW4tAn7ClIeRpyQwZMCz5h Q7EOrbuHdsW4j2 JbjqRN3zmd6JT5pFqMkYZa7gDVqftGE2r/AAj7Hk1gbcR0WpbfluHAw9tTJ2MJJgTMeQ02kluCCCJLbbS32IwMmPAGAiaiS1M1ajLCSS1gSQozD9tsSuvWtx0eBDbhiEQ7Aw2Q86gh5P3wYIi3qesYdR5JJfQxBhi7HubbiZvB5WGzHgtYk3bht/yBBqIM6tQtYG3/ADDqO Fkjf7wDi6JNRDHrcQ5NZQwMPkfJLUfwLeY n4GJ/KR6fYjwl88J4D0s9sMeUMHSI3JWAe1ySOQx7BFobR/D5w5GJYZiIj3/8QAHhEBAQEBAAMBAQEBAAAAAAAAAQARECAhMUEwUWH/2gAIAQIBAT8QZvjhbxmeIWeD4mz7m PMNYYc23jbbZ99Dj1vgx5sttvAzLG PB8m8 OPMskhyPSeJ/IIt4RZJyMfOJZN8eRvrj0Znj9vjuT5iREsa29 wkvmeBP8AhlkBL3bMSFuz9TET5rEsWWWS98LEMQcfADrH2XreOZHggiZ8xt9z4F9ZezbeAgiCZ81v2ZeG  Jw6z5OMjfvCGdlY/7IeZw4zPRCAsMY8FLkA4L3HTr0F SDhfK89EEcYr8t3pf6xwnwCFgwlrxFjYepPcHM2ySNhjYSGJ79RgstWXq21bLCfBvuD1aOwDl95sGsGRe4II 3x1fFSR2GLVtgZJZD9t4DVezJMb0ONsWdWsNsPvgwgs4PxOHDYcMieDiljbGIlll5i9cy XslgPnFMETPDqhOkTZ3bfAsi2cht6GSWB6mfcfpPSwmPfntq4Q/Y4kx/xL33wpldWQZL4LCuS09St849J5EsL1vMnxTSVaTkd9vmNvW0ofa OviYlrfWDInxM7fcJaXx4ZZZzF/PAEuy6kFvhsWWP8wpeyXb9WRqQX M9eb/HOJJaey0X  CJXD7/kcbJhZQ4R4fXhvmPWYe/Ieusee8ZZfII4T5HVwnFCyP4Ah7eLd9/xP4lHhr/D54vN 8bC o8v/8QAKBABAAICAgIBBQEBAQEBAQAAAQARITFBURBhcYGRobHwIMHRMOHx/9oACAEBAAE/EBf924Z 959nz7jKH9j8w5nK5B Zf8FjF/MKJS8mxMJHZKhcZgWr7gohhKj6X5gb JY65/EroYiwzllC5bS7lvBL FtxVf8AGZhpjBlm8eKIwBZlOTiOorCwNaHmYh4jOEkfGYJ0n7iulQfQUP2cD6jEteqby7 LMtZbcHMaiJbOJLSm bSu662F6gT7YWMJytLd2vmJH3GPvCgCUCrgsDlqXYxUKmdAmAjWD1FWZwWRApfmX4C4KtSoELIsXEsTDyeY6FxlXqmOvQ0rDUcSqwCAgEo6hqHZtuXh/NQ0HrPzmGlOS/cGY4gvH9y0uS/3LtzU/CbQ2vSfiAjEOWVx 5gxABqD4ntQn5nyL/6mo IhDyMcy1ceojCdMTFbBC8ThF0JsUlqZZrApMZSsApxEENdwCjw1xBRh4HjR/m/H8vPxf6n5rFOWCUs0xsx/IMzqyNlKi kuWeKiuRzGY9B/mazjBHNcyu6S iyOLpALvMpALNnRB3rv Yq qVCHQ7gWwUS4O5lwQTxGMJ CBXf4qNgD8RLUW/EHm4vVRIahWoaH0QyumU4YJkAL4iWi9WYifiASXmGoeMF2/8AsSpzX3n4P9TEPbAFyW/qZVUPGHUn 2JMX7B YcT6wj9z8NUaU/WMq qw4J0ZChKg/pLfd5fuHELZiWwyol0Z0RKMIwtCAvRL6iWWmVkBct2wj4FMCowg5JYDXfhYjNRjVGh4PCwvw0mYv9zBI 9n4P8AUIdsxNmmRL4GO/JruR 0Zg3aP3FPvh oQioeT8pBboNcV5DFSwHbcEubwO5ZjAYKlqYiHZ8w6P8AiGX/ABAvUB1K1qZ2JwENEbfSCilPpGBUWSA7lqKoWMrUMMFtRiZYaPNuubRv5eXfwEb7gyxEVpXhI8Qzuk2Ih6GIYu Kl8A5iuKglsIraSkLPmCP UCFHL/UqFdz2/8AIYCzwQ2GVbCUkOtuDbFZRBoScUTH4awM9MJgo4gVCaQDuOLiKJ1cAE2ZhqmskZxd4mC4FEzeHQ9uMfif QUfpK/Ywjnf/aLcsA0vvAH/AKpZN7ntxOr76WJdvVuqIlgfWU 1tdBhzfOMsM/JSC8qBgvEo/t/8jM4ofiCEFuo10qBzGuG2AeJilRCviSyylJXcStVn2RL5i5cUqpiXdRWStLFbeoi6agho8L6qiR N/5PwU0Pb9xHhieTcwDnP8ypreyYTD5T7vgmJ7H2xPYOUFhuh bNgjmIYrVgzBBTEKjEBh1A4PNUYIyikQzEPQ/EdBKuUekQiF69TUdsGYFLwDEqlKJpn8zufhE/Pygxv/rAZUDcwLpfvxgHpfzCUv1hUwjB f2TlgpR2zeiXCvayYzVq5cB3CIHJepWCHEOfCow0lRI FdMsQFxxa1EwiszWv8A4Q6jUCMUg9g0Oo6QYv4uACOiOvYv5gepML4zH0f1gS1FGW1am5t6t/7HbCFlglzX1GDAUAYFiuvcXJSomipYcPxjhQGjQUZuVG8FTHljt8qiasWLzlCc4JScfFQ15O2LFiqNSGwcwKhsmTFkZmPolBgmkdxKXEHSLd/NRfaJse/7lgnlq sUG2ixH6sVsq/LGlvKZeIqDr9EyQ9w4SgUjoKbbn4heoA//gKCJLxA6uZt2sbdSHWICtcPUICVXUZ4Hzco17CDCCQO4MrAqKRgbg4nBHlEo7IzB3cyCZD0QQYm2BjyZ/d9T8CP7r9x4vd WbheDy2N5g3AcA/7Fk0ABQRy8HENaUANaKg9F/KJSueVioILwbgsex 5QYcgfaUjy/lFBxDcbvIkFbxUXuyxoYrUp0VDrYDxO8oDHpOSKNzSCbmxpH6YycIhQSUAViFkD4Uo3uWNT7ImkDEyB5MaQ/sX5mv4I8XX/UddG33WGo/7 GGvAPzD9zytR1b7rPbH7IKq5hgPD/cvSmbmLmEeE0ECGnI9uCvh1GhJvO4DaDBFExjUmJIwyykFZlZBZlVzVF4ZMkpY9Q EGodkAblmk4i22OTmavf/ABiY3MP6sze9E5UEh6ftmiHOfwoa8cB2kV/KlYgxKi41ReMC66h oWYZ2/mINdv1lSdZi4C1/FxjpBCsofMIGrm81GRTAXWZaluO2ZEqV4yjlidIm3Nv0nPnqViiPqZNEYe6MIqXKwY3c VA LpS94uWO8h3RxFjP4fc1SiHBbitBuJaPgv wstcHqBVh0GK8H7WEFCnRHNTMtTcoMRNWMej78jIUDR6hJ6wnGpmnvMc5VfeLuQ1AYtX5QGCkE/FhGNWZuKjsttxL5ScDuFKxwQgWSwmBli6gKrTDibxx2LqplAexuoBN0MRU8iWSi sO8y6LLRQHoREdhvxeKmPgGJ0o Hf OZq Ir BhBRqQi2Uvtil4z qC1uN7hv5IrX2hBYdoSyndSzio/EyFXSjntD Y NymYFfeLJAEDiWcQLhmXBxD/ CHSyJIVpnQgXoL7lHNCibuLBsfBvUEupVUuQNxKZXq8XKjU61F1Htst/BMdXvXcqNVgxDUzJ1MjL8Fxnf OZqfELBChxHmUPdA1NpvdW/hicwiKXKW2iv5EH9TMsHgnEMpj5hIMKfuxyG6KKx4sE2kwagBEz4L1lBEKx9jRuYAIzB6lWOC4yp0CDxdQNk887H0s0nEu7eRh/PibfHNESovh 415uj JeYPClLXzD114FgUAOlIguWZXqBS32Ljq6dhYcSr2mDAZc17Y yfAggjdn3YLetv7MRQ20SsrrxZXh1BtCDeE1YaXArG5KrCMEJgy3TbiHKbyHEfNL0uD/AOuZdBm6Z6mkoUUVbLC pj/DiYKPwW/BR0v91DcqNZqLqDF6Sy8FMyJi/T8LMUwwS92i7QRdeT02fxKA2A0VVRTj3Kv48z5ml/cGnRkt CDRKSNZUMV3CqS6JmoGmAkGoeBAVjGJWOmswQKwDCXKElI/KDiPITFUQDuVMdR/18eD z3NXxM/WI2H9Ulae9KWyGo3qswBVCFxcMycwfxdzIjEr STCFRvmZRftQ8fNOfrHY9f 5lUyLcwSAm4IbnERoTcxMlwDiDZk8IADq5j8KXDCXOzKk2t9hApYwLNfExK2eHTcIQUGJxFt pYy5OgitsxN7m01FK/j5mp8TA9BEphMwrrtgaU hr9RzEflgXayP8AlNzMW9P34Xh7cIDcqp3DJ bY4RpblLHJmBdleIqIKvGDdIhtpjpUMrfiXEQiqYpQQDma7hdgBsBkeD6wXWEfQ8RmDcFUE/8A2PBUMukxWwVdqDqKy9X4h19zM/7uLH0jKPREf1alwmNLX/lBmGAVeB7nCX2SqoduNoHr/omEE9q41ADk0VuVGLPwP2jjTsQemgzC0vJijDcSwn1WIypo sS4DF4aNB9vMGO5cziylBHNMtX9ZWeBq1loj0eB6kM/PhURVBhPcGR0EAqL6L9Isn3F/l5ij8IiiloC IBpdsIJ/PFFbIbMESfEssvQmAwqc5fljav5mDMLZn0wnxcigDJYgEHCQ 9KlIV UCfEvgb2URCd nVuZUQ tTKkTqwL7SPsRJWGxNSw454iIGXMMESGtkdLXA6hlXfEq5tXyMTqEe3uYwYIrp4ss6MzMY1WE1Za0NTD5p/V7ix Izd6I5ElNOJ UhuXNj1/cdwo X/M5REXWHWe44IQgVTGUqTQRHBQDZ1BPMOYaVlYb9QCY1MONIXCA9w1GJtK8S8PqNkDiFGZQNByxbbsrUfWaGbqKlhMoDFwuB9F3jmCtpGW6twvRAEODwWiLaS6Gw5lEbjkx/l/UefzP4vcWPxEEvkuBMWqT48E/udxG2Ih7QswSgaOqvaJVTLMTNhiZbq8BI4jz JRSZl266rmNaGTSxWNq2Ylag3EqRZEqYVRQx79woF8s BzELUR0/qj4m2O2IFFOX54h7tlDRPXhUoqhbYFD1NJ4flv6Zoe47/tmafiWwy6DcScuRMxqwDkAiVYujk3zLgK7MNq8JxQfEXgdQfP3i6249SoQbGKAEOM1HqDNq/MfqfcWL0HTiKhFN5J/wDg0xorvcBAiIXT7Qq4p9IGSJsi9QzFhmbi5SA5Z7pU5kt9iYKYwTUjjtCdUpXFwyuiX0cTMZSxgtBMfmjs/u5o ISOxq4TFAxxid3wGHtMkLlNdIYXBtzFBcArWl6iC0QoNn1KxNfxMGYdL1MZaRXtXbPfg8TsHkgNDA8pBGItRAcwas26gBuTuoi1DbkFsmIuoFu/aNsV0RYevAaIr MyJUrjBM1S98fiZh80N39XNPxEfDE4kVpXMGM6qI6XcdxJbpQzF4tLjMcRWEDWZlaBlMahwRLM2 pZep7YhqYFc3GoltfJHDs33CTtS8S8CftKMi6GEjMZuGqkg6rOIjAahpe4pFDSk10QGqHN C1C5PcW2HuFtmG7xLi5j8D9z8lFm/q5gD1Px/7hv5kCzil2uIViYiV0NHDFtNQiyuIaLi4oU/SKFCp1csFlTrEotY0lhsi/SX86mkGJXh6lfRWDjLCmrkvM/dk0kEQYgaodMqgbKiIC11DxrWUCfENFQ0ReA6KgTdsw0NBLq6TmXPxn7n56Ki/i5rgv4v7jgCMUnEzYzHVwonfJDsWQySymt4Ygo5zE2HcUcOkWLBWqj0FUxhPJKvk/uCcQMziADdWXKUArWy9wWRY5uaJRiZaH1jxUCmjAbS5axkIiBkbi3khHYJulyNBNGLFjZnygpfT9z89DX8s PL4H7hHmXaZKmZlLimsymMC8RWWRU5hEsAYoAojbkTxLMgRbsy3tpMltZKEEXFMyqYFsBExT8TsFR8EQ8KNRtBowKJaLDPaQMpLgbkcNTBXL3Cv5hbYsvi5h1pMGdw/cT 13FOR9P3APkxt8osX5ixAumOWmPMGjMj3DQ0NqgIBb7hLLPoQDr1F1MqNVNZQuw4thFlkChHpCOlN9 p7gBzMSQKvmNl3HFHiPgJLeiMp2IF3BAm7gioVsqnH1i1K8fuOSCkGQqYqi TTfxc/JR/3cwatAOZcw0sYjGJVvhIKB1HesTFMuvMLTEI7llTQRS2guGN8ohhuKHjaE1ZjTiGHa5g 2Gm7WCD/A3DkUc/EEAACAJig5l5xkxNbsfBM00yfuJc4uXGdxFL8Yp6/vx2x6/uFDAIg0L0QxZlhKFaiKzKteHUBCEriDhXMcTN/MJVoCX1MCFoRdQDyXBBYbnQcRGXcyOrlQCgEuYld3fgCoEDEILJMq1t9ExBBxHLzGbAFY/YYxZEAg4aM13LEF9XMO0GkgkbOmJ8PCpvT9ze9xtZ/LmCwbIUksJthguJU3Gq6xCLtgD5hYGsleJK3XcNjXMIMbpFtaiZhwQCxiY2NQQo7qYY6aI13uB4IeGN9ggBAHHgMIriiZTAEwE3NGIo  479Oi45ZuAMeQotJCLUOnTHn2eLns2YIvvx5s6vrFeyvhLhzEZDhAtTiK2m5klVaufMDUse 5azcArkDKitzC18xIrczDLbxFZKiPZA/WFMylkxEB8XMJ52D1c5gSqgiK8Mr5jxFGpLgpGZds yRmVjCoikLrpVRPRQaThlKEgYHMAmhaELIAp9R3m0RMst7KTHO4CsMoWaxLFl EUMyQxcbtDDGcVnMLh23Yqx7lg 5ldYw/uYDbe4jFfEQEvT7h WNVLiDxcFjpv3FUJpu0PGMBC2XH8ZlzYDF1C7ggZe8XUKJuKMQQl1L4BLbqMpyuguZPB 8N1Wjb7mSNH3QHCYihQo1zFL17eoE29DxEAbdSuh6jlZWZdCGqNssrotQ5jcNe8TdMIjc5hLBbMY9y/nc2fmy5/Mafd 56VY6rWUXqbocz3m4U7hrMa3KnqmrlYlk0eWWGt3uCzGuII6xAFQoblrM9sMcMFR83WmpdS Q/MLiS6UIcjb8wXRTwmQDJD2nTEtgVyDmWav ZmcMxQm9xQSHdYgGLe5gQKinePLxCuXLXqUULsvEUyRzHELr1KC xLz1cK44uXFq93Fqqq8za7gA9wJO9TtYu5UhinzZmE4cRW53Lrxs1cEEG2Coag0o1FSTgOpQJYVMekAXAvEKPbzLBb09wH0DV8ymTSU1K2Ve4LJgl2E40obLYCINYxC5yMG6iinmDgC2ZBstdxcluGeJYqq17jsKjO2oZT2wb5umUu1O2HML4cuRlEjNzlsyw1Ca2WNwMVNQCqs9zgIALZPUJYMqtVHcRw3LBd1BDRglB9JfUu26Z3LdWl7qXznqxVDRXNzEYCHFWe4rDQNkbKBSADe5fbV Gbe/mDd43C4OeEUjghwpa9wdxsqCFO3EaCXtfLECxqXcr3ESrb4CZpnZ1KDDFUpYbruE4mcOooTFE5ZTmBYbllrohWXNbiqp/MRVuWMhxxCQsiuJQVXViMGrijC0bq42y0Gr0dsdQd0v/kqlVcEpBS85NRtcav3BLVdWQBTK5l TuUAaPGtG kU2QxLmZmCNQ0mLbf8ABAiqOS8BM1xBxL07hEzDwg6ljbmAgXHaZlRoZaW8QN/UyI mMFxVRqqFzA3e4AqVv6ERKoXPEQtN1VsL5NrRFqdlXMwu9dTFgeR4lQLFn0Sv4W5lltqB5fWFORybgxsfVFSk8ZiwTniiJVX4yhv8YEy3B8qruYqxlf5IQcxD4yBbbFBWIkCGYS8SynFeFWGZLtNJyh/OkV1BCGdpa1dwUNVw9RnZ0dpqGXHNSwI205l4Ba4eohQ2ufQe2Ikss0T7mKhaG77gBoWXKF0YSHqFt7nyYWsote4MLVMKWY9MdeWOQustRnPmvB4N0gADvMTaVA1BoYswUWX/APhUwKWai8LOmY/rhKcsIxBWPSW1aPxMWqplTcdjPvxNlYKNPqMNlhhb ZgVUMq8yq6NhBURyVGtRd1KvZIG0rKOEozUQNRSbm6JgcsFlUsU7bj4r/JuDCGg9eOdqBJVcFrZcNSv8DEGFiYCt5iTaHzB6xRTmPWL7xBHoOmWu4zeL9ErM0BtfXXxC rjutw6uBeDkxO2aleZgT1Ml8TUpzAQvMblR/LHB/8AAhuAlgmoRr4dkCPDLw9yulf7SQKl48N43Ba7j4D5dEIsFFMt/V3KqBjDqBpxxuP21cYdx1MllQTkS 5 hGVmI7Uyf8ceTXgsMWW oAAxzHtWoiVYiylqGY5a6MRDniEVNrMrp/sYoZhEYTQ0vo5iUk7n1DgXdyyEtL1GiWCtrFwzwzA7azEaXdaivwVKBO2e4sXJcrLoHBj/AFXm5f8ATqVtfjGlJWQ4iaDcU7Wqi1bfmilqCNKa/wDgMGEWLCH0I6RGsyUJq6IEIbKiDhVbud6O1PEoU2lxFWw8Kwuo1Xv/AFx/nK 4LaGo2ZhWXqCru5DNsqJXtEpH/wACD4STHilQHEEFrmSAcxyFh5htWksVLO5eJxfidy0EvuEIri8RW/B5Zf8AgRSDRsh1CiBG6cAdRClrl8EdSpiWn/4jHme4pTLbNIen4ZlhU9kBgsrtmWotNjMRVhxLJZllQs1KSNAtBkjtYEqV4f8AFAC5uE7BgCqlgYHuG2lG7Reqr35IgWwuYbPBv5if/AmxGCMGoPLmuI9CoIm8RCXzxLNhlSnEsgZC7iXNS4tMFsJVpI6Kxc9E0xH3CG4ngTETGJcW0bdQbvEfXO41E34wf4PCKyU4uWMjWHUf9kWZcZoDUsTyMdtRlMGJck1CyQlMAlQVPojti48JKxplLdR0Ewi1 oJxUyFqIgbmQlxBbAVi2H1ZjgjvWYBR1f8AoPKG 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 SKcykGLNkva4tuIBMlxCkVeCIGD6ily2z33ABrL3bOC/QRJMpWJLCYqIN3OYalxZYWy DxUcEbAgr4fDBlbiCkK7m5qIs4hmobd3EgK5viOw7f9Ec4JvMVUCtys2T6BEYn1h0Vfoh9H4hFWq 2WFUI6KmBLJdQXmYgXAE4llxiELXisp1F9rzioat3Cqo3a8xG67jYWqgN0YgZBIEbjRq7lq7sUb/0qZVaysXKLM4LLuOm4mkHJNMzFTNMHhWbgvLCXKBGkysAqKjwLEC9zLy5s3qEwitRxKgoq kSYLLHgkpbUYua47hK/wA0T1CuOosYijCBuAWriOlyvghqBmHMwRFBeIYxFlxYFzUaEU6lLMx9QDKwAB4XwWYOJwsOeyLjolCZ5JWmbdEEKBIKalLIQLUInklI/wCIbsw5sIXMtbma0BsAe5ggOyYGJlKYfdLhllHfhZo3HVsbMQA8LX1K0 YNBLjyiq4ooMh9Ya WaQxcKEZjWJYBzR4A3cLdR2xuvLtDR7xMgGohmAjIqvMCWwUoi2wCGfiG7izCXFghmWMagrwGX0lLumDZ46RQt3DTLyvqGj4ucfvDR7YuFj oRjxB8GOwV3FaqjmFUNwSI0RgZlQpgqIUaY2RXDLU35Yysi48KuY0RUQZpfiXzLvBMB4FsWyXMwbhiLmGpvNZcP8AsM/VL/4mz8QxXxODti3ftncefUeS4zioWJmWgJyd9XABRggIpaaMSp1K9kUKCUbIYiw1DBNFsu0qo CaS31JgIobgS3g5iwMWrYRkzHEuMiLIQ19Zw/MXaaB0Toho bnruPPzXi4Qc0G2LxiD1DJOaidCB0gQixbS4NxYqDTLuYuVLCZRtlJNEMIxOFjCGC8y9voiMnEzd3cEQ0 m4uVfdwwj6IC2oYqaE4 WbMXL8SlQS76Jdh94kT6dwKfcQCSx5hvEoJXEwIqgw7QhrxbggonqLUXMKuOsTaYhBbDEGUebmD1lgJWYzlWX4sDTqI7J0xm4Un6IxLAuL2QDW6TiWQB46l5uvvuVpzENSXi4S8LDqPFzaGAS6G7ht8DOCViCz3FzLhDLUw58f/Z";

2. 设置生成的图片名字

$imageName = "25220_".date("His",time())."_".rand(1111,9999).'.png';

3. 判断是否有逗号 如果有就截取后半部分

if (strstr($image,",")){
 $image = explode(',',$image);
 $image = $image[1];
}

4. 设置图片保存路径

$path = "./".date("Ymd",time());

5. 判断目录是否存在 不存在就创建 并赋予777权限

if (!is_dir($path)){ //判断目录是否存在 不存在就创建
 mkdir($path,0777,true);
}

6. 拼接路径和图片名称

$imageSrc= $path."/". $imageName;

7. 生成图片 返回的是字节数

$r = file_put_contents($imageSrc, base64_decode($image));

8. 判断图片是否生成成功

if (!$r) {
 $tmparr1=array('data'=>null,"code"=>1,"msg"=>"图片生成失败");
 echo json_encode($tmparr);
}else{
 $tmparr2=array('data'=>1,"code"=>0,"msg"=>"图片生成成功");
 echo json_encode($tmparr2);
}

完整代码如下:

$image="data:image/jpg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wgARCAInAVoDASIAAhEBAxEB/8QAGgAAAgMBAQAAAAAAAAAAAAAAAwQAAQIFBv/EABgBAAMBAQAAAAAAAAAAAAAAAAABAgME/9oADAMBAAIQAxAAAAHhKOpzp0e3xu5NKKuqB5yXGm6EYStaIC iGEsYkGu6m8n2CVcWjz9cCloMmmUk01m7iJnUDNyMu8xM1i2r6HqPF92K7u5uTE1Y6m4LzfNeR1jqd3h92KWUbAzzGmbc88rFiT3gg8byUL0MoZbEVPu8/oebmuSKb1yzd2FXdjxojCYCOGDjCeWaDe4LNEtVbS9qvXveM9fFFvG5LurDyyTie2fT73B70UstviNJ1caooyguTGhUYJQsgbG/pZxV0fHeg8wFao1xiXsLOXqq03nTpoX0bRxV/QCDyyXruW54RYIG12orU9T5jtE j2Iuda1Ww8vz2ldc p3eF3prmpOcwa8VlQzpU4AlbDBIcF4zYRwJk0eJ0EKWy0Jq3VO8qN1bZVDJvQYskQLDGVSyHXCn5Pm u4dRznFjphbXdH6coWJU1IjyCzK2ufV7vC7irmcjrc1PmySohwmBYgyCooihmS0OHXMVx07up2O7Y76vk gmilyQe5q6Q5ukYrVKqkvPTPB9Gin4rDnPuGury wHXPgqm61hPyCxB6Z9bucLuq Sk5zUA0ndR0V0jiEQewp5HAdUIaQ6A6I WUWrm2ANqvVv bbT9ATmvAxoW6NZlCzKqal5uNLVOGL83w/Q d1yd7XE76fZ3W1NCJkXjlzguet3OH3JvjoP84OeYJajdgyBdrbE1aegaFdgzxu1xhr0YVI3o V6OaGEmh89rpaaI0owg cgb2BJBHb1525v0k4PTilPMeq8pcM m8v6wOlqtKcVMM8cFlap6vd4XcnTj87oIC55NlqFctZEvolgHRSBnZYMnH7XFToHQVo7Oe1qb8ur6hCo5vrfPdpN8wGUZVYSHql/O1PqCeR6c36KqYz04/jfX WvM3s/Ie0Bm6onAyBa8oDeGur3OH3JviIuoCSOBmpBm8hqXkVkGcNFXZTZ5XY55TA3yldYgzqgg6VOOYw1TQzCKhYR8quf5v2ILnzvQ6Dmegnd3F UwMlC3r N23lrGsOcD1hryGdZZ1e5wu5NcNB7ntKuJMOSg2uIsHkGjokCNBYG6h0 fNuGDE y1z3m2JiVOhUACnXYTxgoorWSXpGC51nrYtozXJyVtzfRUbvGD1hoZBtB4SiCZ1e3wu7NcPnvqtInxhywmcAtVdCYzMj00o6n1Uekir1neE33 awx/IIzdwQNbQyHRAqWLb0DWkFsOs9K5x UTT4mXDu825wPYWF1Wg8NKtnT7nC7kVw e g0tZJU2B5YVXrAMQVAwwg n2VnBzpzd52hkgxM6OZdLWuL1SyUrlU3FVieroOnJc5QmmeZ00FDjynQpaq8NZHqNG3i1XiR1Yuj2 H3JrhKN85odVdScBwC3nUDemrADODj7WavPTnwgwKhvDOs3zOhSSH0kTYwwYmxdC2TPNSiFM4KDCBWSWzCK1oehtZIFhrQiAm/Ga1ly/2 J25rgcjtcqpy2lqp6KxIFkHmpZxVVO83kXQPznstrXe1N8oqPLa9K94tpz7iI9BsdGpXQsKZ6HyIqSjYT1C/QUcETeNNQehNaYCYBh1U143eN3L/AG H25vi83oc9yN4JaiqkqIyQuFcyMp6Ses1tG3UTTfRX3zM9eVVyoqXGE9F5h9V6FnzDUaekLw pnqNwdyg5eE5CStXG7qhUPWKTGpgA3mTXjyjJUudvidtVxUnRtYFqtMqYo YbWNclB53VQ0QtjL3ZD1WR9jlO8nPRWajMyWgnYUaL4V6y51rGkG9J5Z6NPbaEXHYY2MkiwQWmedDNUlEQKebkH5HQTOWu3xO0q5AjJ3GLl6ZOWu5y2Mqx8TaTqzEiCJ25ZmhWEAUyoOylDm308KuPsQk71mw1edI0YDyv1zImOffOdCAnA6/hbjren4Ho6kYjBFJUDxxhFctdTl5GEaDemZpUuJ0 Uzi962ty28EowQqx9cFqtazogyJ63VpnFrA MBgCclwLktPXoOH7KNHChJlrkRFQ4nC11N8PRG5oc7fNz2bk1FEn5HYTtG5b/KaklVD5eYzUsXnJPVRbS4tH6zpPnDIPqg2CY0RWwGHrOsTV4sYbV6qrOHC0jNnwq6PpuX1MtS2JWad5OVdMhNDl52bNgZhRiaeqtFeLeyyxbld2qng57YGuVGlkmSos1HTUOty29oSqA2u/wBCk1LRShKBqscWCLSpcBRGsYKWapoWprpY5w5pjGZee8Ewy94IBNY1LKwmzNNazkrgg5d65dTfOtrqa4pk kpca5se56OkuIebKGXTnV5nUZUkc7MAwbVLzk4YBHJth00yZXUaaKM0sIyCpEIHQiTAwLkREynosVpgBmz1MD8Xn0CuuXInRiOdXVXbSu6FdSIkkC7qx66PMcEaTTVkEaWov0OdIJhO7GyoFacKq5LNcDN4rY3O7FEZmzS9sCPhZtYNFLnwbqhLPKQo9DNS0LIxtaStUmquIqXAq5AkkHp1N4WoIrR9TOF55XQ5jWZJqpdQGHOZaO4Lm6VPl5cT6ocDyZDgakIYJ86KTBIq9VOiecB7FupF98okQTlQV0iSROSUK5VhLoobacWhruBy03kdY2uowPeAVIySQJdQL3ix6lWmYoGc2wUUypplY dHILcMuNC6pDVwpBbO nlIi7zRDkk3JIEkgVJAhgxHbPwuthUXag01GENZ0ZfdrFyBUuBUuBVyBqZ0mRxIs0ZgTeNbNi82XQN6pqVeiBJIvjkzrq5K5ryCrMuKquRFSUEkgS7eTw/LwcXHz6KqTaYYRQzhtRkkiJJAklBd1AJ0Oc1FtHSrJu0ge02YBmMbEQrOqkVy6udXJSD B863ty0a6Ig5tGsoJGLRbvLDJ0kBQJV1RJLCXUBoNmYpJESrgSrgSSBt1HrTSRGrzYTCkvoHQZzpvOsaFVUb5s3OrkzV2ElxOZ3SYs1AAq7hidHiYIwBOpIFXIEkgEOscS9EyPMuBUkCSQN9TmdGaqtrw mHL 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 wqFJfjKnNWrpUpX TVlhquipF3Vi3Thvr8y7afZie3/8AALnXG8ZK2uRGbupq3sZogVFbKp9i2h4xNbSSk5ddi3VcRhKpHqoafR8y7afZiO2X/XEe6XNPKPIhV2Td3DeT3reK83TjUm5yztnYjE9MlG3UinLS6NTVFdOF7PMuIduI7W9P O9dnrI1QZ7NBHgUXJehMcJFFflp71pcY2rd9NhRFTZCA47VEWzsWEajDVnCpF3XRhe3zLth24jir/1ma7BdouxNoVSZSqSc6C/LUZWd59CQoEKRGkememSojoInRaHG2SY1s0LnBT1QFnhe3zLth243ter0c/8AWLtP0yo84bvrzsPdiQyKIQuQpEYGk0ljSOA4FakSjbKDupIt7sHLTUXRh5Jw8viHbjRpywfoTP49Q9CoelNU9Mi3tsz9cqfbhucZLYRLZIpxuUqZGJYsWLFiw0VYFWkOJDZ8pmFf5Y9GF48viPGMKj/4pcuxyfpamanpVSR6s0vXmevI1OVGh2Yt3qERu7jzQpEYFi3VYlAnR2qUrNxsRezMJF64dGFPL4jxjSp9GcvqP1Hxkv68PbQrvceVCnqlShZJCRYt1uKZiKVnUViBbfCIhxnh00eXxHjGc1v6 c wfBLP/VP24Vu7iPdmEp7RyXxYhbV0R5RhiK2zw82zy FxjO6pLTQ9SIpxZZlbkeUZDlaHqMnxipWpC2iilHVOikor5Km6xK2jyjC8row638sXGM7q/wBJ muRJ3RLkl3L6yr3V5fmfOVJ6XHEStHFWIYmEhSuX GXGJXtXKMGs3lhefLFxjO v9RFJx00SXpl4F4atVM1wJtNLmpvVqb1mrMirlLDxt/FiPB3Hh5wcJzgQncTybHNDrRR/IiKvFimmSKyupK04mD7MnlhefLEYzvxHYLszfdk Id/Nee2InyjDwvJNRTxFiGJi3qUjSmJWFlJlS7JUps9KYoTQtSIz1Kp2zfvgYT6ujDd3liMZ34jg/15Ll92UikvyU961fbEuP44K7w0Nq1SoinTdWUklVo15RnTleIhjLF0j1IiszShwRiPbR5cTDK1LooRkpeWIxv2Vaba9KZ6f41TiOMD2XvC uIqhOrJSp1JOdD7q/8AZa/49CN5UadoVKKkKikVMFcpYXROncREnlUm7PE1JFOtVc6de8qUtUTHO1FQd0rzoq1IY8qE25 WIxv2V21l/qyj3eRcz76Pdh/txC/5WjVSwNP3RRYdM0M9NijlEqCW2hxKmEqKWGouD/jqq6FJ01YxrvUSXp4eN5LjJ5Ybv8sRi/sxPcP6co92UU7y7qPGF78V/ahtSox0SiLKxbOPEsnEszQyELCHxVeupV qjT0zzeWH zyIxX24j7DTqpKkhqCcdN1NIUxVMqX14Uxf9lfRCREXQ83lY0mnOrK0XC8ow11KG8h5M0mH zy TF/biPsNSjGNW83zHLS2o0Z30EUlSwvbjF eP9cpvZZXHIuL4LlSWpzdhLTToR00xjFuyh9j5eWL 2v9mljpScY0dLYsk2o6m8o/VhvqxnMfo/aDIsuah8CLlxv3rolInLTHD  dTcWbIclLRrfLyxX21ajjN1JPKHIuD9Mv9WHX4cWrxp/VDuEy bTLtDqEaot2mXLlyUt8TO0cPG0Ie6ebF2lD7POWJ 6v9mUcl2qEjSrew1ol209qVeN40uyP2MQiUlBKpFrXE2LItlcuXJz0rxWXtXtpQjpiMfRR 18 TE/dW3q nI0EfTtdGp6b9EuV2T7EfuQn74k46oUl6TdKEj0qiNNYbqQVPEOrJZXstWqY/fXgtTyYyPPm5SUfUfIjEfdVnJTu3lHtP1GKLNCH9vh8W3y/3QeVWG8KkoCxCJ4klqqypU9Cyqv3Q5bsqKvKKsuiPHgo/a RGJ 6q71Mo9p tiKZJXFBCtrTumSNUbeoR5i7EXdNXJU7FjQ2QpaS2XBe7pcVpbUoaKa6fD4uUftfIjFfYJkYpkuxQZZIujwmXNW8KsjVJlhwyTRriUprKxpNJYlKxcn2i2jbVUzYyO78yyp6FN8i4r/dNe4SZFaVvmmLl5RdmhZYiqr6mXZTryg6GIjVSyuTqaS7kJkotwUdykvd0Mh0U/slyIr/AHVPsQtujQi1mcjWUJXSZiKmil0QnKnKjjdUf5aZCTkSgpKCSWm049ukfEVZLpXa Mqf2S58Lit90  ER5wXtJo8rOk9zFy6qUL0vUVF/wD0JkP8jG0MRTkpWYmJDhvm8lz5lnD7Jc5VvukvycF8owulwSRLlZMjs1usX3dFOGuVSOiL5EIVScXhK2sWTj0Mhyh5w yXOVX7rbsSIrfgWT4mI4zoyK89dSxbPC8qeon3iPL5oycKkXdZ2zjx4zjL3T7sqn2yecO2RF5PiaFmyDs5U7PTZuncdPf0np1umRq 3Pyxd1N xdGPxGgwmIqSmPoj3T7jxV7286b3YuTxMebEPfJcWJFTu6fNGOqpBbDyqTVOnUqOrV/x1Lew10Lun3LiUtMHU1ZLJEdyZFi4kSFvmhc2EcjKvd0rnBUxZPL/ACNYirulFU6bqKJ6uoTumslzPu8YqpsnYjK5bJlKdia2iyPEiWwnlcTF0NlTu6YK8qUdMVkypNU4Sbq1MLT01HVbE9R4TPBZXn3OWmE5apZU53HlT5lx5gSJkcmQQl0S4hTTKmHtHowcLyWbZifyRhTjBp3Su8k7lyOS5l3T2h0Kpk1v4nzS4kVCA8lsLKwzkirKtP8AHpy0Gl3w1P04o1Eq6PWuXuPi5wcC9riRyjylvWTcdEjS10U5jIdk aXbIm94K7ZHJZMbIM9R5SiKCukQSupJDrolNyF7hnEuCPOSSFYjlFdDWzpInS053uqb/HU5g7QnWL3KXbMjkspEpboQkWZGIyJO98uBFt V4vmhcDmkeozWxTLrOdK41YTKb9k3u5u2VPtmIQuCpLZcnAmXuLKJNnmAi9x9vi4hbiWS7S7NQqg5mtkax6wqhLTpNe3RT7ZnhPJvabuR4LiyQtyKKhfb9ctYmJNkYmhi2Sz0tdd/gpvZ85IlduWy1EZXyTLkRGqw fKdhuxqN7QjYQh7JESeJ0T/AJVM0odJSP45/GPQROmi3w0uMrZ1ecrkXtEjnyraRbml6rIQhCPFhGJ zKxdGpDmVJfFFWiIWTJ89EZWIzQndeEdyXtG9xC6P1/WcFI9GOTHSHFE9viR4IlspvbquRlYlNsc2KbRr1RERLiyQyQ icrFyUr/ABQjc4PMc57j OIiKGyIhZeZdEpWOSWy GEHJxgoxkt0jWKVycrRTuT4 KJEb0pCEIvYRLPVpL3ZUe/wwnpKdTUWuOI4GkqSu07F7x KPKelJ3aELnUXuRJZvcR4lz8UJOLhNtZVp5r40bsjEUS1hu2XAh9CJcP46dPOpU0pu cSS JH6xE0iU1LNMTH0z4 FK5CkWOCdYbv0RZJXXwo1CkiUriuRTIrJdco2LFhQJRt0KJFKJdE6yRKo5dceJKz BGnVBbZ3ExbiXXa5awkWJQunFmhihYukOY5N/DEl2/AiHa7X9OLHFxEJiZHjqtnfKwxtj OI 34ER4qEJi9ynCwiLIv4rEtlm0aDQOBa3wJjXwR5Q NJTZypw0uJD4bZS4iiSt1Sjcat13E7rSaGaDSWzhyNkWkvMRq60WI9DGIt0SIcNXHDqcbko260JkXfKyHG445RVkLdq5yL2tP5ZEe3J9c4/BTY jRuMgIQxcD OYuMqiN0LNZNElZ9SFuskN5Mh0L5ZC4yZJXWk0vpmvgpvrpizQ/kfK46rI0lms5QLdUWJ3XRYgs18rOfjcS2TQ4jj0030wWaXzSPOb B7pprokuiHPRDJfPI85v4WrjiWZYsOJbKjG7nHojkvnbyTzfzOI0KminHSmrpwNDFESEvnlxkn7sn89hR/8AM9zQaGS9s1UJVEh1UamQnf4pS0pVd08ln5/8tbuuXzTsKbI1L5N2Xqo9ViqNEJ3yk7shO S/8P8A/8QAIREAAgMBAQADAAMBAAAAAAAAAAEQESACMBIxQBMhQVH/2gAIAQMBAT8BEPShsb9EPSzRXk9IcpTQ0IoWEPSHCwihoWUPxWELaH4LKFD 8ofgtJw8oe6KGhY5h5Q9rLKOeZeEPyqH9RzHT0/OhwhsvTys/wBf6Uv jW1CHlZ5fLVM/i5O6 kUPKhDmyyzllnyPlCbKH4IcpHSjl45OWj5CHzhShjFDhFyos5cNDWunCl5uUKO2LnLhOX4cwxu2fKi7lw1hwtIs66leawhD6L03F6YsKHis1tYU0UJFYZe0PwUMosbF SxfisUrSL8EWXClFl q8a9VqhIXJ19FeqFiio69l4dCiivJeHXqheD8KKiihIW3i/xP8n/xAAgEQACAgMBAQADAQAAAAAAAAAAAQIRECAwIQMSMUBB/9oACAECAQE/AcLhFcGtlsxC0vVrVbra8oeq3XC9mLs92LZcHhasXZ4WrFxQ8WJEsLVi6Isk92LgtF 8PC1YuC0Sw92LgurF1visUUUUNFFFYY2LgxCxP6HzneJLVlDE92IR9J0M bpi9Hu0MTFqxY q9wiD84vEIje/1jaz8uEsIXg42JZWEyX6EsfPhIojHVaf4V6V6LRYeKK2Wv4 iWFz/JdGxSy82OY5F i5zZDSiihjx8/0XwUhlCVLaWGVZFUuMlQpC3kMqyMaHwbok7Iw4MoSSw Eo2KKXFjePSMr/iY0PzEMWWOQu84lkcWXiPdjj6LWH8D2h/Muf5 lljfBSXKVlM9XF4h uct//8QAMRAAAQMCAwYFBAIDAQAAAAAAAQACEBEgITFxAxIwMkBBIlBRcoEzQmGRYqETI3CA/9oACAEBAAY/AtrpDNEEFtviTQtXKsRa2Boh0WOXA22kM0QQW21EBGo7p27XJZmOULlI VzEfCABrhFIqvz0O6b9pQY7sN0QQW09wgIp2kfEFYgKqC Zqeo23thuiCCef5rJv6X02r6f9p26DDtINFylcpTUNY3R0eOV229sN0QQR99jodBWa5lieyEHpCK5W7X2wzRBBfxrYdYMfMu9sE9KRbtKNp4YZogmprRTmXb9rL 1ylcpzWRuenKk06Gt209sM0hqb7pzQWaGK5ihjGTf0jX1TumrbtPbDNIam62MgQNJGqJQ9elda/2w3SGrZ62M0hsDSWKqrZXoTa8E/bDNIatnVtV9NqP tq k1DCmEDSPt Vk39LIfpN0TG2DjngP9sM0gaLZQVzIaQNIK Yp EPwLsVnxDJtf7YZpA0Wy0g7xWbv0vuXKVi1fT/tfTCbQUk2ZRzcDNZ2HgP9sM0gaLZe2DrYZbom6r5TtbeyzHCyVYKN7/bDNIGi2ftj5sMjRBBP1W9FVQBeMlHsFSuHEdItdUfbDNI EzdH2rJZjNY7QLmXdcq5AuVv6VFnD9YKEkgqrrvCjjRUCx8LpKENtdUnlhmkfCYK/bA1kWFHSDrDq vDPeqNBgi52arTFYmAETRA3H2wzSW 2G63BFP0RgJ356ElM2YzdmgPS46QzQT8Q3JfUCzJWRXKF2C pD0UNE3oqrf/AEi646QzSfiG1FUBu2YLJYkI490U1N6LcGZWgQu IZpPwFkmqu IMYLOPmGodCSt9yDPW/CsMnCizsNrYahw63bogu9MBwWQbDpBWSFXLuVg0JmiEU9LalVqs F SYAvEMgxksXBHElcsiW6QYEFsEKnaq8JxnFUDZqqxu ir6cAY1hkFEArOHW5LF1lJcZqvWMAs7A2KpzvXgiGQUaS6 s1igVb/wA2F0UF4kQyHRisBVHL44eEZrNU4YHCFK1hkFGceJRucg1WBxtrAkm6tjYZJ6OrTiscIyinHbrDJNuN9IaLnkZ5Lw4lcoXiCqCgRxm6wyTxm20W4y3BxW67PijWGSeLS4lFyNoPFAoimdEJCIVLxb/jafEhsz4rhrDIPVi0uPZF57o7Q6C4QxVWfV79o2QOqAQaLgimLdvPSgWFxRd6red2WC/KqEJzhpVZx6KpCc62tu7XBYRXuq91VD0tytoZHFpFBwTFQqqvaMMrsFlbQwOLXgUCKB7oGMUQqKhWPBw4GHBpwaqsUjHgUszk2041LqKiP4VeNjbTpKKirFfKK3VnCaFZrKM1nGHCPQ07qhy81xWU59dXj18goOnp0lPK6qtmHUUHlFTP56ATgs kxmg8qw6MeWBYhYeV1jFV8qqP AY/ eDFPNMbKdH/AP/EACcQAAICAgEEAgMBAQEBAAAAAAABESEQMUEgUWFxgaEwkbHB8PHh/9oACAEBAAE/Ifqh7EAn6hCQTNl7Gk1fcaFy9MfWoSuEQLHyY2XspB6zSG5ciXxsa7bfUmT0JiZLZsglsEzJikUIIIIPrR4T9AQtAMT9yGpcvdJpw/Igf w5eH7RUN4nX8AKG/eCGiC2FuBJ BCxLwSkzCJ92kNJb6IzbCBE4WC1JRKOPCy7retl7Hhf0cwjEn3iTVyJC/62M3ewhol2RChxLwQXghIfnBsyDiBjJIggQZApkhLAaIIIxOCxFKaY2F1K/wCtiQzEw2d13saH kb0v9Q2zlHUy8bgQt9sYu/8Bty5yY7dLeFhZMfA5wQu08Js6GIxB849xVMSpW2haWuels0f1sf6ce8/eWPqCKfCaRl8iGmI/IpMmZ2s0qfJ8gFiDeF7PEQY66Jdo7Y0iGNeZLqRYHMZMSMIjBvAfrDNRl 39M9C/wCvjH8YhbZUf2Gx9keOqkNIxHfHlxgkRB4yFaFmtBTPGeAYwnDEBSLUxXdEWELCBQy3XI8N kaKRtIdy3jPB MGcb3g/wD5RJPT2LsMVL7zV3hI2CJV5wssb2stDBChBZDDxZExiuMbQDQ7hyViYS6Tbr9Y/wB2JZLueZ xS97fJ5X7HtmxHQSLn3PKn8YAnJFxpFWjPQIpeBSYFSZGhFGCCCCMJSZiSNxEwWmhirQ1wIWNMqdPo29R6PPo/sw/vYjVyp5HG9gTI7LENCgQ5ZDVkEGIIxBBAlJAsDXgjYuzEcYWO04kMfXmg oJd5ZXSG/gxA6V7YynD3Ntiy57DClcDYBKFgsQR0IQhi9jjYWu9kWHBJJm0mhYfUmo1fAhJE53iO0BC4f1EoGkNFjjwojh2F1I57MaeQ QLGWfJ3ES8iWlihCy hE4EIPg3CUIeJvYw19JqHN9BjJiF3RfsMZe4Y gES QnG8NPYiJRthNJC0PkSsgMJXRTFaMQTJG8TlvFJ6CuOeQhGuPtMNfSasV99ieRKVpCVtwZ4hdh/6pA0j RREp93tjiSvZGv2XB33swOYsTkiNbHKqwlIY9SbcDEUkxOBDnCELkBvTNMYkBxbMWNsN 6SNPQaYrSw kw jLGLKvARFF2iSz4MvDPFeyEP4hazHmTOHSQ0ka GcgFeoOje7xp4hrQtBY5JPucNfQaLCNjrb1/mGWQ 9hCw08BksOnil9AObPifdMmYHnFFCFDF Rs4I4WLwNLw5zWBtcCYtHZFh4LaVjA0PRxh6NSltDH8xoNQSetbQd6PtoTqLS 9kGv6sRe79ISjhvZA8s3Pc7HzMhVIEMNKuxBm0QzV6FrMbJjKHAr1RBMWPuzHtaMdCzGhUlRAjEKkuRF4TCs0AiUoTmS wiBYfsthohnLNI2VS7ke8Cw0wrGrbYx/EaYEOMqaY23yRHsYeE9veNQ8gtvZxbesOUxd2S9oIEIT2hrLCMgSjbCpJSbFiDOoFsvsQ9AdxGWMY8ICLqUj2oLC4ex8fbDH8WF39FE GPsMM1CxrT32PsG72KSwSH9IWQ WxfYPJoIJDRkRrIksSJhq0JjI14UZnuQRrck gvsQWO414 5GHsGh/Iei7LhPBaK9sbcOXsh4XuQMtJI5EFfMS7/QImJP0N2yjPSFtxFN4H9whRI8rBZY5FSEIyJRIWDT 8x7m1pPAn6oQ1DpYKh9iM09AWinwLfFjtIP ikCKRxs/QjRm7I51S7k1p/JA8pCXFh4GJOK8lIcTyWzzeiYYniSShILgY3I/RJh7BeTCQok3e2Hf1C0bPQv/AE7Ca6Z/BU0QuS6yw6TNjX0ETtmpY9hn8kn2lPsJcfVEYMKLEmFEDpDKRlxDEkkkSob2NSTdYypXK/QkKMcjiWeINpw94NvVCGuRjgVwbZyW9sb6v D2fTEcPedfKyBCYGr4LOJw89OWcHGYt07QzlDS9/QGhJ4oe1lvYpPs8cAhnGFfcg0 mMPfohYm30s7t5DEbj8DHL5KhS yn/gQr7Q8yBfhEWNRt0KubDliQEJC6itMk4DlyeogiYFiQ0u2TAqTYaCW3SxIhjQ2x8LFfkwfwQtYiNiSmkJ909kFoerEWGn2ganSfJM3F8Entj16YRoeAsIvAs gWHIqYO0JkO0MLccoTPskOoNur9M8X2TJVqTTl3YmGrm0hv23BFEUcFlka tBaxsMLJV4EYGb0bh79EaDhEQSjQ9xnj6uP9iEtLwN8oFJR8CSi8wcTcQT/oRETwSKgT4gdOThIDT0xmv3D3GjshGlS8SNfE5FkzfYh3MsKSLHLGyrsVCc6e/RGhAEuNKz9NYSp7JkThfBHSluBRqT9wJDQXhwN2xUEl 7OBCQx7Vomtok0hSS8DG0kskyE2GCR5INUIboesaQPGQ7z/CNMCYYqeCLL5DIxL4hh3oXlC7BNhmCiInB3A3Y9X hCfsXWgux/YxsKxyPU9BQQhCzGO1AtA 39sapIQsGEhwe4xsZI3HHqsCglKRA5Skl T4LPwNGhDQ3cSiJKjZCDFxpQLNqbZ5DzGvhHbotDTiAscJgeB ocEjIrYsPY1iUwqUjcvH2jYceqNCzez7IksRXhH9IeyBwLyMyrgTZR3hkxmJzIduh256EiIhpMlsWk59Fy2RAWUmOYhFQcdWhdOXmCODjFEQ8HnKb/YvpWDZ7PtnIxiSW4RpJZCjAm0wySs5mCe7LfcId4djFiMPcNkgl6RI2JQOonz3wAzGiNQRqyZmRAhDUMsmD8dEb/YteqFo2eyT3mg8FTSUhmWKYfJ w0LKrF/UPoebhZxLgkmTFoYZpxJEEk/I2LKL9mhBIRGHsYSzO4eWQRit/s/yhaN3saTeRiVkuor4I/sJbJMhJOxv4OSVeBLtaVITNjhlY7Yiu5o4Hc4yUQWBwRLJw1I4D2MSPc0HmnIrPtC16oWhb zYTYpReSErBs/qbjaBOFoYyRJNPYxHnEJLtENXcFG RsH0iZbwsGloeh jwdInEak22uCkE XtC0kP0fTG/2LXqsGsJGJGiHxElFICeR4aZOj4kXuLQzh6ErLsKlqzQ3CFhC2cCOxJAiEPhq8JJNwjCmgyBqM/cN/s iLYzEajkeZG7GhjQUFWmiTFzEH5GlREilhsVZO0C1IlhLqtrLwivRtqnYasVtwLEiBRbG1lo3BBj72MvrNK/LGNImuEMoIaHomCBxmtyKBOrEiJNFRKSLFqCiC7dKIteRKjSGJw1AJDaS2xOL8Bc1RjLzTYp7gmTL5N4JCDcIZcIe5sJwxCQ1lGO1BDdjS3o0Xo02a4QoktiVFkxokk5BXYIIcR0ITOWsUSJSOypXBvJtdy6TtcEQZjWOQxF3ig2WxpGNHsSXN1yobynA9wHaCBGiZ5qwtOF1BteCtlRcaG0 DQd/IqBDfcxw4IJmtDljIXtlUNEIVI2ilqBxeTXU Sij8ic62NpalM0thKWuBsI2vslkLaNmw B0f4Aw13gqGHAmdFx2xTkQ9YaFiXD5Ym5KII14fcim2kKOSWzypDJOAWaF7GkmBNvHLRBOKnoWpqiJ7HBzA iJckjnpQhKMUhNITHmkljmGmhOHJQJvQYXAq0LBAkGghIE0NRNAI1hyEymR0yxoHlyM2w1VrQ4pV7E5UjaWh2rsX3CKaPTElWTLErFgbCjZBHJegoGk5b5JbIe8MirI73YwhIUQWsEkaIICy7ETgxBkPd4RQyeWmJvgescaRDCpomxXsOTpkuCW5 oWCTzCbudworZdMjJCR4Xn7nImUQ3OUjThI7xMaZFIa8jQExyWOhqEEWyDcCF20JqhezdoThPxHBQSqXI8oncMgVWM4RNDdQSN60xrpklJL6kIZacKgoh2lFChIQkMkiLi4djZyBtafKETjk2kdnJF0UKVNs2fdiNVyOxyZuKcij/uiTYcag3wIRIOD/AAvghQIQNIbFOCXc7ob7NtcEQqJFZI3bvPJJ 8bfCEDdF0l2NhZ/voZJQiE3oTrgWEzcXhhqbH3hOkSV FbxE0M28WPCGnorC2JgTQ5obEpvQogmxFfknZicsXtsXT SZpCR4HSSNjWMJISRjctxQktE/h2FoN3AgoIZEW5fUoDWTTNAxhKzkCCOXI2KJ7LUL/BaEEmEaYRiSEOEhm/4ntMUOglISENjHlAkdaE8IeEyxM/JbxITTzIigw8cYjWxdH FDSIAxkJSbUI9hDmbgm34FnYQ2W3jqdh2EuAxs87rG5LRJH8THoQvkapYrWCpTTSGaDnfkESSybeFBnopkZXEhLHhgo6Ys345Ai1omcf62bUc/i3GnRwhpXIlRS4K0Ch8ipI h8QJYVc3/EiUEoVYVEthjS8rTIHP4zVo3c2owSYnuJ8lUMi2MJYh4VuY/wALWFK0FAbSWR8vkY0voicGo/GVEngcNDGUpG2JQevSxqVBKZITsZz0KB7HGhQTMFPZm7ddScDz Oi45ElDFEi0KbROQkmRLxh9LRIYlpHQyScQLtCthg7BsG/wvZdvxNIZYIYlJaDaDZ5g i2LQhCyks9EEOaJTf42ss34dh6kogNHUA02hsFQ94jDdYTENSIoCbbHREiz3PcpobNfWiehyZBHVoNEOG2CURDK9DYveWoIsggSYjGLZjTAxKscCLc/gSgUTJ4tR2Gy3lZCokZfFIqnFF1QuKCwqjkbJEwZ9hSEiMaiGARqjRJxmF BNDwwhNDg0KEKIxkxgxcNkPwNRMoGpFSJ6IXYrp1NWHoRJ2UQLCI7kDla60yF4TWELYOBxbI 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 cPKM1Aga4VCwxzmrBU/Yjs4VxBzBXARyCwJQjsLLv5428DOtVtzZTeYgo148etEboi3z2uKdMz74cB2mHpx/r9 O4uQwoGDTbxxcj468/XMbWiRQmm gZyD2zsXxIl/02Wn2 EyO8/gA75kevW erJjSA2gjvHJSLe4LyLNGpvN1Foh3DJd/b71WXevXpz83MPZ9TsP5tIMvTddfq/ADFekH0gZvOINdPUr/VVUMnO03oVXYv8AFRmxwzlSGbRZQdYI0UqXFAIvnlc2gW10IroTDcmM3 ixqd5C/wCLJRG0NMaqJ3BLrKsJZcM0c5MVjOLA3jd3JDwZx2qB72TPvyzf8W  dsp7JAHt0lW IKjLXgFys8hfzeqeI7Es/pa1KfJcCtv/AHRD/Ol09a2KqCJzZF8EbvFvv5sR2V9SAI0Q1G6s6W/IfMzZWE580/vONZU09fy7dvIxOd2eCDByAcsHauRZ3 /TnQARv3zqPo8v2/djfqPHPNtTbs/2vHLSuf8AsrwtylDAHFOu3nNrdcbPwGfhW6C4qSSXaJ9uNa1VaKPdNGKiWD6KKWCmmE0O6ie3fmkGKO226ODOaltuYEpInQGTFk7uoLuZG9STIdKITIMj3VxGIBwhV0cBIb8m9r/nvOf8cRImAMESiCcJzHDsYNlFroCX7pgPiGABd94OcwA0ExK0ayY/2dtuAq5wwcdLCADfe8chiii9i/8APoAHf3w//8QAHREBAQADAQEBAQEAAAAAAAAAAQAQESEgMUEwUf/aAAgBAwEBPxDwbPIjLZgMjbh/gp3Bj6l0T1tQRg1ag3DqO5ItvBj6nEG7h5HMhNwfIe3bgeTth/y2tZGF8et8l3GBLDLBOXxnIYcGN5J X7C3bkgyflxH5btx4HJhOwnUGNRgHZalvmQyatZCS o4m/IctWuS6kNqO2eFvBLJbcRgWpey7ghotV2wFrdrV928Ho3FrkW5Ih9hDAdXCXsxEYOSL8jG47HUuQS0YHIwYNrwPkTEAg5si/kW9Es H56dyIz8wJH7u0EmRyL8hiS6wVC3bTBnUMiP9w5OGYPATyXBow27cxgB7IS6v3JPT4nK6iOyeM9McW4tAn7ClIeRpyQwZMCz5h Q7EOrbuHdsW4j2 JbjqRN3zmd6JT5pFqMkYZa7gDVqftGE2r/AAj7Hk1gbcR0WpbfluHAw9tTJ2MJJgTMeQ02kluCCCJLbbS32IwMmPAGAiaiS1M1ajLCSS1gSQozD9tsSuvWtx0eBDbhiEQ7Aw2Q86gh5P3wYIi3qesYdR5JJfQxBhi7HubbiZvB5WGzHgtYk3bht/yBBqIM6tQtYG3/ADDqO Fkjf7wDi6JNRDHrcQ5NZQwMPkfJLUfwLeY n4GJ/KR6fYjwl88J4D0s9sMeUMHSI3JWAe1ySOQx7BFobR/D5w5GJYZiIj3/8QAHhEBAQEBAAMBAQEBAAAAAAAAAQARECAhMUEwUWH/2gAIAQIBAT8QZvjhbxmeIWeD4mz7m PMNYYc23jbbZ99Dj1vgx5sttvAzLG PB8m8 OPMskhyPSeJ/IIt4RZJyMfOJZN8eRvrj0Znj9vjuT5iREsa29 wkvmeBP8AhlkBL3bMSFuz9TET5rEsWWWS98LEMQcfADrH2XreOZHggiZ8xt9z4F9ZezbeAgiCZ81v2ZeG  Jw6z5OMjfvCGdlY/7IeZw4zPRCAsMY8FLkA4L3HTr0F SDhfK89EEcYr8t3pf6xwnwCFgwlrxFjYepPcHM2ySNhjYSGJ79RgstWXq21bLCfBvuD1aOwDl95sGsGRe4II 3x1fFSR2GLVtgZJZD9t4DVezJMb0ONsWdWsNsPvgwgs4PxOHDYcMieDiljbGIlll5i9cy XslgPnFMETPDqhOkTZ3bfAsi2cht6GSWB6mfcfpPSwmPfntq4Q/Y4kx/xL33wpldWQZL4LCuS09St849J5EsL1vMnxTSVaTkd9vmNvW0ofa OviYlrfWDInxM7fcJaXx4ZZZzF/PAEuy6kFvhsWWP8wpeyXb9WRqQX M9eb/HOJJaey0X  CJXD7/kcbJhZQ4R4fXhvmPWYe/Ieusee8ZZfII4T5HVwnFCyP4Ah7eLd9/xP4lHhr/D54vN 8bC o8v/8QAKBABAAICAgIBBQEBAQEBAQAAAQARITFBURBhcYGRobHwIMHRMOHx/9oACAEBAAE/EBf924Z 959nz7jKH9j8w5nK5B Zf8FjF/MKJS8mxMJHZKhcZgWr7gohhKj6X5gb JY65/EroYiwzllC5bS7lvBL FtxVf8AGZhpjBlm8eKIwBZlOTiOorCwNaHmYh4jOEkfGYJ0n7iulQfQUP2cD6jEteqby7 LMtZbcHMaiJbOJLSm bSu662F6gT7YWMJytLd2vmJH3GPvCgCUCrgsDlqXYxUKmdAmAjWD1FWZwWRApfmX4C4KtSoELIsXEsTDyeY6FxlXqmOvQ0rDUcSqwCAgEo6hqHZtuXh/NQ0HrPzmGlOS/cGY4gvH9y0uS/3LtzU/CbQ2vSfiAjEOWVx 5gxABqD4ntQn5nyL/6mo IhDyMcy1ceojCdMTFbBC8ThF0JsUlqZZrApMZSsApxEENdwCjw1xBRh4HjR/m/H8vPxf6n5rFOWCUs0xsx/IMzqyNlKi kuWeKiuRzGY9B/mazjBHNcyu6S iyOLpALvMpALNnRB3rv Yq qVCHQ7gWwUS4O5lwQTxGMJ CBXf4qNgD8RLUW/EHm4vVRIahWoaH0QyumU4YJkAL4iWi9WYifiASXmGoeMF2/8AsSpzX3n4P9TEPbAFyW/qZVUPGHUn 2JMX7B YcT6wj9z8NUaU/WMq qw4J0ZChKg/pLfd5fuHELZiWwyol0Z0RKMIwtCAvRL6iWWmVkBct2wj4FMCowg5JYDXfhYjNRjVGh4PCwvw0mYv9zBI 9n4P8AUIdsxNmmRL4GO/JruR 0Zg3aP3FPvh oQioeT8pBboNcV5DFSwHbcEubwO5ZjAYKlqYiHZ8w6P8AiGX/ABAvUB1K1qZ2JwENEbfSCilPpGBUWSA7lqKoWMrUMMFtRiZYaPNuubRv5eXfwEb7gyxEVpXhI8Qzuk2Ih6GIYu Kl8A5iuKglsIraSkLPmCP UCFHL/UqFdz2/8AIYCzwQ2GVbCUkOtuDbFZRBoScUTH4awM9MJgo4gVCaQDuOLiKJ1cAE2ZhqmskZxd4mC4FEzeHQ9uMfif QUfpK/Ywjnf/aLcsA0vvAH/AKpZN7ntxOr76WJdvVuqIlgfWU 1tdBhzfOMsM/JSC8qBgvEo/t/8jM4ofiCEFuo10qBzGuG2AeJilRCviSyylJXcStVn2RL5i5cUqpiXdRWStLFbeoi6agho8L6qiR N/5PwU0Pb9xHhieTcwDnP8ypreyYTD5T7vgmJ7H2xPYOUFhuh bNgjmIYrVgzBBTEKjEBh1A4PNUYIyikQzEPQ/EdBKuUekQiF69TUdsGYFLwDEqlKJpn8zufhE/Pygxv/rAZUDcwLpfvxgHpfzCUv1hUwjB f2TlgpR2zeiXCvayYzVq5cB3CIHJepWCHEOfCow0lRI FdMsQFxxa1EwiszWv8A4Q6jUCMUg9g0Oo6QYv4uACOiOvYv5gepML4zH0f1gS1FGW1am5t6t/7HbCFlglzX1GDAUAYFiuvcXJSomipYcPxjhQGjQUZuVG8FTHljt8qiasWLzlCc4JScfFQ15O2LFiqNSGwcwKhsmTFkZmPolBgmkdxKXEHSLd/NRfaJse/7lgnlq sUG2ixH6sVsq/LGlvKZeIqDr9EyQ9w4SgUjoKbbn4heoA//gKCJLxA6uZt2sbdSHWICtcPUICVXUZ4Hzco17CDCCQO4MrAqKRgbg4nBHlEo7IzB3cyCZD0QQYm2BjyZ/d9T8CP7r9x4vd WbheDy2N5g3AcA/7Fk0ABQRy8HENaUANaKg9F/KJSueVioILwbgsex 5QYcgfaUjy/lFBxDcbvIkFbxUXuyxoYrUp0VDrYDxO8oDHpOSKNzSCbmxpH6YycIhQSUAViFkD4Uo3uWNT7ImkDEyB5MaQ/sX5mv4I8XX/UddG33WGo/7 GGvAPzD9zytR1b7rPbH7IKq5hgPD/cvSmbmLmEeE0ECGnI9uCvh1GhJvO4DaDBFExjUmJIwyykFZlZBZlVzVF4ZMkpY9Q EGodkAblmk4i22OTmavf/ABiY3MP6sze9E5UEh6ftmiHOfwoa8cB2kV/KlYgxKi41ReMC66h oWYZ2/mINdv1lSdZi4C1/FxjpBCsofMIGrm81GRTAXWZaluO2ZEqV4yjlidIm3Nv0nPnqViiPqZNEYe6MIqXKwY3c VA LpS94uWO8h3RxFjP4fc1SiHBbitBuJaPgv wstcHqBVh0GK8H7WEFCnRHNTMtTcoMRNWMej78jIUDR6hJ6wnGpmnvMc5VfeLuQ1AYtX5QGCkE/FhGNWZuKjsttxL5ScDuFKxwQgWSwmBli6gKrTDibxx2LqplAexuoBN0MRU8iWSi sO8y6LLRQHoREdhvxeKmPgGJ0o Hf OZq Ir BhBRqQi2Uvtil4z qC1uN7hv5IrX2hBYdoSyndSzio/EyFXSjntD Y NymYFfeLJAEDiWcQLhmXBxD/ CHSyJIVpnQgXoL7lHNCibuLBsfBvUEupVUuQNxKZXq8XKjU61F1Htst/BMdXvXcqNVgxDUzJ1MjL8Fxnf OZqfELBChxHmUPdA1NpvdW/hicwiKXKW2iv5EH9TMsHgnEMpj5hIMKfuxyG6KKx4sE2kwagBEz4L1lBEKx9jRuYAIzB6lWOC4yp0CDxdQNk887H0s0nEu7eRh/PibfHNESovh 415uj JeYPClLXzD114FgUAOlIguWZXqBS32Ljq6dhYcSr2mDAZc17Y yfAggjdn3YLetv7MRQ20SsrrxZXh1BtCDeE1YaXArG5KrCMEJgy3TbiHKbyHEfNL0uD/AOuZdBm6Z6mkoUUVbLC pj/DiYKPwW/BR0v91DcqNZqLqDF6Sy8FMyJi/T8LMUwwS92i7QRdeT02fxKA2A0VVRTj3Kv48z5ml/cGnRkt CDRKSNZUMV3CqS6JmoGmAkGoeBAVjGJWOmswQKwDCXKElI/KDiPITFUQDuVMdR/18eD z3NXxM/WI2H9Ulae9KWyGo3qswBVCFxcMycwfxdzIjEr STCFRvmZRftQ8fNOfrHY9f 5lUyLcwSAm4IbnERoTcxMlwDiDZk8IADq5j8KXDCXOzKk2t9hApYwLNfExK2eHTcIQUGJxFt pYy5OgitsxN7m01FK/j5mp8TA9BEphMwrrtgaU hr9RzEflgXayP8AlNzMW9P34Xh7cIDcqp3DJ bY4RpblLHJmBdleIqIKvGDdIhtpjpUMrfiXEQiqYpQQDma7hdgBsBkeD6wXWEfQ8RmDcFUE/8A2PBUMukxWwVdqDqKy9X4h19zM/7uLH0jKPREf1alwmNLX/lBmGAVeB7nCX2SqoduNoHr/omEE9q41ADk0VuVGLPwP2jjTsQemgzC0vJijDcSwn1WIypo sS4DF4aNB9vMGO5cziylBHNMtX9ZWeBq1loj0eB6kM/PhURVBhPcGR0EAqL6L9Isn3F/l5ij8IiiloC IBpdsIJ/PFFbIbMESfEssvQmAwqc5fljav5mDMLZn0wnxcigDJYgEHCQ 9KlIV UCfEvgb2URCd nVuZUQ tTKkTqwL7SPsRJWGxNSw454iIGXMMESGtkdLXA6hlXfEq5tXyMTqEe3uYwYIrp4ss6MzMY1WE1Za0NTD5p/V7ix Izd6I5ElNOJ UhuXNj1/cdwo X/M5REXWHWe44IQgVTGUqTQRHBQDZ1BPMOYaVlYb9QCY1MONIXCA9w1GJtK8S8PqNkDiFGZQNByxbbsrUfWaGbqKlhMoDFwuB9F3jmCtpGW6twvRAEODwWiLaS6Gw5lEbjkx/l/UefzP4vcWPxEEvkuBMWqT48E/udxG2Ih7QswSgaOqvaJVTLMTNhiZbq8BI4jz JRSZl266rmNaGTSxWNq2Ylag3EqRZEqYVRQx79woF8s BzELUR0/qj4m2O2IFFOX54h7tlDRPXhUoqhbYFD1NJ4flv6Zoe47/tmafiWwy6DcScuRMxqwDkAiVYujk3zLgK7MNq8JxQfEXgdQfP3i6249SoQbGKAEOM1HqDNq/MfqfcWL0HTiKhFN5J/wDg0xorvcBAiIXT7Qq4p9IGSJsi9QzFhmbi5SA5Z7pU5kt9iYKYwTUjjtCdUpXFwyuiX0cTMZSxgtBMfmjs/u5o ISOxq4TFAxxid3wGHtMkLlNdIYXBtzFBcArWl6iC0QoNn1KxNfxMGYdL1MZaRXtXbPfg8TsHkgNDA8pBGItRAcwas26gBuTuoi1DbkFsmIuoFu/aNsV0RYevAaIr MyJUrjBM1S98fiZh80N39XNPxEfDE4kVpXMGM6qI6XcdxJbpQzF4tLjMcRWEDWZlaBlMahwRLM2 pZep7YhqYFc3GoltfJHDs33CTtS8S8CftKMi6GEjMZuGqkg6rOIjAahpe4pFDSk10QGqHN C1C5PcW2HuFtmG7xLi5j8D9z8lFm/q5gD1Px/7hv5kCzil2uIViYiV0NHDFtNQiyuIaLi4oU/SKFCp1csFlTrEotY0lhsi/SX86mkGJXh6lfRWDjLCmrkvM/dk0kEQYgaodMqgbKiIC11DxrWUCfENFQ0ReA6KgTdsw0NBLq6TmXPxn7n56Ki/i5rgv4v7jgCMUnEzYzHVwonfJDsWQySymt4Ygo5zE2HcUcOkWLBWqj0FUxhPJKvk/uCcQMziADdWXKUArWy9wWRY5uaJRiZaH1jxUCmjAbS5axkIiBkbi3khHYJulyNBNGLFjZnygpfT9z89DX8s PL4H7hHmXaZKmZlLimsymMC8RWWRU5hEsAYoAojbkTxLMgRbsy3tpMltZKEEXFMyqYFsBExT8TsFR8EQ8KNRtBowKJaLDPaQMpLgbkcNTBXL3Cv5hbYsvi5h1pMGdw/cT 13FOR9P3APkxt8osX5ixAumOWmPMGjMj3DQ0NqgIBb7hLLPoQDr1F1MqNVNZQuw4thFlkChHpCOlN9 p7gBzMSQKvmNl3HFHiPgJLeiMp2IF3BAm7gioVsqnH1i1K8fuOSCkGQqYqi TTfxc/JR/3cwatAOZcw0sYjGJVvhIKB1HesTFMuvMLTEI7llTQRS2guGN8ohhuKHjaE1ZjTiGHa5g 2Gm7WCD/A3DkUc/EEAACAJig5l5xkxNbsfBM00yfuJc4uXGdxFL8Yp6/vx2x6/uFDAIg0L0QxZlhKFaiKzKteHUBCEriDhXMcTN/MJVoCX1MCFoRdQDyXBBYbnQcRGXcyOrlQCgEuYld3fgCoEDEILJMq1t9ExBBxHLzGbAFY/YYxZEAg4aM13LEF9XMO0GkgkbOmJ8PCpvT9ze9xtZ/LmCwbIUksJthguJU3Gq6xCLtgD5hYGsleJK3XcNjXMIMbpFtaiZhwQCxiY2NQQo7qYY6aI13uB4IeGN9ggBAHHgMIriiZTAEwE3NGIo  479Oi45ZuAMeQotJCLUOnTHn2eLns2YIvvx5s6vrFeyvhLhzEZDhAtTiK2m5klVaufMDUse 5azcArkDKitzC18xIrczDLbxFZKiPZA/WFMylkxEB8XMJ52D1c5gSqgiK8Mr5jxFGpLgpGZds yRmVjCoikLrpVRPRQaThlKEgYHMAmhaELIAp9R3m0RMst7KTHO4CsMoWaxLFl EUMyQxcbtDDGcVnMLh23Yqx7lg 5ldYw/uYDbe4jFfEQEvT7h WNVLiDxcFjpv3FUJpu0PGMBC2XH8ZlzYDF1C7ggZe8XUKJuKMQQl1L4BLbqMpyuguZPB 8N1Wjb7mSNH3QHCYihQo1zFL17eoE29DxEAbdSuh6jlZWZdCGqNssrotQ5jcNe8TdMIjc5hLBbMY9y/nc2fmy5/Mafd 56VY6rWUXqbocz3m4U7hrMa3KnqmrlYlk0eWWGt3uCzGuII6xAFQoblrM9sMcMFR83WmpdS Q/MLiS6UIcjb8wXRTwmQDJD2nTEtgVyDmWav ZmcMxQm9xQSHdYgGLe5gQKinePLxCuXLXqUULsvEUyRzHELr1KC xLz1cK44uXFq93Fqqq8za7gA9wJO9TtYu5UhinzZmE4cRW53Lrxs1cEEG2Coag0o1FSTgOpQJYVMekAXAvEKPbzLBb09wH0DV8ymTSU1K2Ve4LJgl2E40obLYCINYxC5yMG6iinmDgC2ZBstdxcluGeJYqq17jsKjO2oZT2wb5umUu1O2HML4cuRlEjNzlsyw1Ca2WNwMVNQCqs9zgIALZPUJYMqtVHcRw3LBd1BDRglB9JfUu26Z3LdWl7qXznqxVDRXNzEYCHFWe4rDQNkbKBSADe5fbV Gbe/mDd43C4OeEUjghwpa9wdxsqCFO3EaCXtfLECxqXcr3ESrb4CZpnZ1KDDFUpYbruE4mcOooTFE5ZTmBYbllrohWXNbiqp/MRVuWMhxxCQsiuJQVXViMGrijC0bq42y0Gr0dsdQd0v/kqlVcEpBS85NRtcav3BLVdWQBTK5l TuUAaPGtG kU2QxLmZmCNQ0mLbf8ABAiqOS8BM1xBxL07hEzDwg6ljbmAgXHaZlRoZaW8QN/UyI mMFxVRqqFzA3e4AqVv6ERKoXPEQtN1VsL5NrRFqdlXMwu9dTFgeR4lQLFn0Sv4W5lltqB5fWFORybgxsfVFSk8ZiwTniiJVX4yhv8YEy3B8qruYqxlf5IQcxD4yBbbFBWIkCGYS8SynFeFWGZLtNJyh/OkV1BCGdpa1dwUNVw9RnZ0dpqGXHNSwI205l4Ba4eohQ2ufQe2Ikss0T7mKhaG77gBoWXKF0YSHqFt7nyYWsote4MLVMKWY9MdeWOQustRnPmvB4N0gADvMTaVA1BoYswUWX/APhUwKWai8LOmY/rhKcsIxBWPSW1aPxMWqplTcdjPvxNlYKNPqMNlhhb ZgVUMq8yq6NhBURyVGtRd1KvZIG0rKOEozUQNRSbm6JgcsFlUsU7bj4r/JuDCGg9eOdqBJVcFrZcNSv8DEGFiYCt5iTaHzB6xRTmPWL7xBHoOmWu4zeL9ErM0BtfXXxC rjutw6uBeDkxO2aleZgT1Ml8TUpzAQvMblR/LHB/8AAhuAlgmoRr4dkCPDLw9yulf7SQKl48N43Ba7j4D5dEIsFFMt/V3KqBjDqBpxxuP21cYdx1MllQTkS 5 hGVmI7Uyf8ceTXgsMWW oAAxzHtWoiVYiylqGY5a6MRDniEVNrMrp/sYoZhEYTQ0vo5iUk7n1DgXdyyEtL1GiWCtrFwzwzA7azEaXdaivwVKBO2e4sXJcrLoHBj/AFXm5f8ATqVtfjGlJWQ4iaDcU7Wqi1bfmilqCNKa/wDgMGEWLCH0I6RGsyUJq6IEIbKiDhVbud6O1PEoU2lxFWw8Kwuo1Xv/AFx/nK 4LaGo2ZhWXqCru5DNsqJXtEpH/wACD4STHilQHEEFrmSAcxyFh5htWksVLO5eJxfidy0EvuEIri8RW/B5Zf8AgRSDRsh1CiBG6cAdRClrl8EdSpiWn/4jHme4pTLbNIen4ZlhU9kBgsrtmWotNjMRVhxLJZllQs1KSNAtBkjtYEqV4f8AFAC5uE7BgCqlgYHuG2lG7Reqr35IgWwuYbPBv5if/AmxGCMGoPLmuI9CoIm8RCXzxLNhlSnEsgZC7iXNS4tMFsJVpI6Kxc9E0xH3CG4ngTETGJcW0bdQbvEfXO41E34wf4PCKyU4uWMjWHUf9kWZcZoDUsTyMdtRlMGJck1CyQlMAlQVPojti48JKxplLdR0Ewi1 oJxUyFqIgbmQlxBbAVi2H1ZjgjvWYBR1f8AoPKG 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 SKcykGLNkva4tuIBMlxCkVeCIGD6ily2z33ABrL3bOC/QRJMpWJLCYqIN3OYalxZYWy DxUcEbAgr4fDBlbiCkK7m5qIs4hmobd3EgK5viOw7f9Ec4JvMVUCtys2T6BEYn1h0Vfoh9H4hFWq 2WFUI6KmBLJdQXmYgXAE4llxiELXisp1F9rzioat3Cqo3a8xG67jYWqgN0YgZBIEbjRq7lq7sUb/0qZVaysXKLM4LLuOm4mkHJNMzFTNMHhWbgvLCXKBGkysAqKjwLEC9zLy5s3qEwitRxKgoq kSYLLHgkpbUYua47hK/wA0T1CuOosYijCBuAWriOlyvghqBmHMwRFBeIYxFlxYFzUaEU6lLMx9QDKwAB4XwWYOJwsOeyLjolCZ5JWmbdEEKBIKalLIQLUInklI/wCIbsw5sIXMtbma0BsAe5ggOyYGJlKYfdLhllHfhZo3HVsbMQA8LX1K0 YNBLjyiq4ooMh9Ya WaQxcKEZjWJYBzR4A3cLdR2xuvLtDR7xMgGohmAjIqvMCWwUoi2wCGfiG7izCXFghmWMagrwGX0lLumDZ46RQt3DTLyvqGj4ucfvDR7YuFj oRjxB8GOwV3FaqjmFUNwSI0RgZlQpgqIUaY2RXDLU35Yysi48KuY0RUQZpfiXzLvBMB4FsWyXMwbhiLmGpvNZcP8AsM/VL/4mz8QxXxODti3ftncefUeS4zioWJmWgJyd9XABRggIpaaMSp1K9kUKCUbIYiw1DBNFsu0qo CaS31JgIobgS3g5iwMWrYRkzHEuMiLIQ19Zw/MXaaB0Toho bnruPPzXi4Qc0G2LxiD1DJOaidCB0gQixbS4NxYqDTLuYuVLCZRtlJNEMIxOFjCGC8y9voiMnEzd3cEQ0 m4uVfdwwj6IC2oYqaE4 WbMXL8SlQS76Jdh94kT6dwKfcQCSx5hvEoJXEwIqgw7QhrxbggonqLUXMKuOsTaYhBbDEGUebmD1lgJWYzlWX4sDTqI7J0xm4Un6IxLAuL2QDW6TiWQB46l5uvvuVpzENSXi4S8LDqPFzaGAS6G7ht8DOCViCz3FzLhDLUw58f/Z";
$imageName = "25220_".date("His",time())."_".rand(1111,9999).'.png';
if (strstr($image,",")){
  $image = explode(',',$image);
$image = $image[1];
}
$path = "./".date("Ymd",time());
if (!is_dir($path)){ //判断目录是否存在 不存在就创建
  mkdir($path,0777,true);
}
$imageSrc= $path."/". $imageName; //图片名字
$r = file_put_contents($imageSrc, base64_decode($image));//返回的是字节数
if (!$r) {
 $tmparr1=array('data'=>null,"code"=>1,"msg"=>"图片生成失败");
 echo json_encode($tmparr);
}else{
 $tmparr2=array('data'=>1,"code"=>0,"msg"=>"图片生成成功");
 echo json_encode($tmparr2);
}

运行后得到如下图片(看到个美女~):

PS:这里再为大家提供几款比较实用的base64在线编码解码工具供大家使用:

BASE64编码解码工具:
http://tools.jb51.net/transcoding/base64

在线图片转换BASE64工具:
http://tools.jb51.net/transcoding/img2base64

Base64在线编码解码 UTF-8版:
http://tools.jb51.net/tools/base64_decode-utf8.php

Base64在线编码解码 gb2312版:
http://tools.jb51.net/tools/base64_decode-gb2312.php

更多关于PHP相关内容感兴趣的读者可查看本站专题:《PHP图形与图片操作技巧汇总》、《php文件操作总结》、《PHP编码与转码操作技巧汇总》、《PHP中json格式数据操作技巧汇总》、《PHP数组(Array)操作技巧大全》、《PHP运算与运算符用法总结》及《php字符串(string)用法总结》

希望本文所述对大家PHP程序设计有所帮助。

PHP实现将base64编码字符串转换成图片示例的更多相关文章

  1. 基于JavaScript编写一个图片转PDF转换器

    本文为大家介绍了一个简单的 JavaScript 项目,可以将图片转换为 PDF 文件。你可以从本地选择任何一张图片,只需点击一下即可将其转换为 PDF 文件,感兴趣的可以动手尝试一下

  2. 从iOS应用程序发送帖子到PHP脚本不工作…简单的解决方案就像

    我之前已经做了好几次了但是由于某些原因我无法通过这个帖子…我尝试了设置为_POST且没有的变量的PHP脚本……当它们未设置为发布时它工作精细.这是我的iOS代码:这里是PHP的一大块,POST变量不在正确的位置?我想这对于更有经验的开发人员来说是一个相当简单的答案,感谢您的帮助!解决方法$_POST是一个数组,而不是一个函数.您需要使用方括号来访问数组索引:

  3. swift学习2 元组 tuples

    swift中出现了一种新的数据结构,非常牛掰的元组tuples如果懂PHP的猿,会发现这个元组和PHP的数组非常类似,同样是可以默认不指定key,也可以指定key目前的学习疑问是,如何进行元组的遍历?

  4. 尝试使用swift mailer,gmail smtp,php发送邮件

    这里是我的代码:在运行时出现此错误…

  5. PHP使用JpGraph绘制折线图操作示例【附源码下载】

    这篇文章主要介绍了PHP使用JpGraph绘制折线图操作,结合实例形式分析了php使用JpGraph的相关操作技巧与注意事项,并附带源码供读者下载参考,需要的朋友可以参考下

  6. 微信小程序如何获取图片宽度与高度

    这篇文章主要给大家介绍了关于微信小程序如何获取图片宽度与高度的相关资料,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一起学习学习吧

  7. jQuery的Cookie封装,与PHP交互的简单实现

    下面小编就为大家带来一篇jQuery的Cookie封装,与PHP交互的简单实现。小编觉得挺不错的,现在就分享给大家,也给大家做个参考。一起跟随小编过来看看吧

  8. PHP+jquery+CSS制作头像登录窗(仿QQ登陆)

    本篇文章介绍了PHP结合jQ和CSS制作头像登录窗(仿QQ登陆),实现了类似QQ的登陆界面,很有参考价值,有需要的朋友可以了解一下。

  9. 如何在PHP环境中使用ProtoBuf数据格式

    这篇文章主要介绍了如何在PHP环境中使用ProtoBuf数据格式,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下

  10. PHP rsa加密解密算法原理解析

    这篇文章主要介绍了PHP rsa加密解密算法原理解析,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下

随机推荐

  1. PHP个人网站架设连环讲(一)

    先下一个OmnihttpdProffesinalV2.06,装上就有PHP4beta3可以用了。PHP4给我们带来一个简单的方法,就是使用SESSION(会话)级变量。但是如果不是PHP4又该怎么办?我们可以假设某人在15分钟以内对你的网页的请求都不属于一个新的人次,这样你可以做个计数的过程存在INC里,在每一个页面引用,访客第一次进入时将访问时间送到cookie里。以后每个页面被访问时都检查cookie上次访问时间值。

  2. PHP函数学习之PHP函数点评

    PHP函数使用说明,应用举例,精简点评,希望对您学习php有所帮助

  3. ecshop2.7.3 在php5.4下的各种错误问题处理

    将方法内的函数,分拆为2个部分。这个和gd库没有一点关系,是ecshop程序的问题。会出现这种问题,不外乎就是当前会员的session或者程序对cookie的处理存在漏洞。进过本地测试,includes\modules\integrates\ecshop.php这个整合自身会员的类中没有重写integrate.php中的check_cookie()方法导致,验证cookie时返回的username为空,丢失了登录状态,在ecshop.php中重写了此方法就可以了。把他加到ecshop.php的最后面去就可

  4. NT IIS下用ODBC连接数据库

    $connection=intodbc_connect建立数据库连接,$query_string="查询记录的条件"如:$query_string="select*fromtable"用$cur=intodbc_exec检索数据库,将记录集放入$cur变量中。再用while{$var1=odbc_result;$var2=odbc_result;...}读取odbc_exec()返回的数据集$cur。最后是odbc_close关闭数据库的连接。odbc_result()函数是取当前记录的指定字段值。

  5. PHP使用JpGraph绘制折线图操作示例【附源码下载】

    这篇文章主要介绍了PHP使用JpGraph绘制折线图操作,结合实例形式分析了php使用JpGraph的相关操作技巧与注意事项,并附带源码供读者下载参考,需要的朋友可以参考下

  6. zen_cart实现支付前生成订单的方法

    这篇文章主要介绍了zen_cart实现支付前生成订单的方法,结合实例形式详细分析了zen_cart支付前生成订单的具体步骤与相关实现技巧,需要的朋友可以参考下

  7. Thinkphp5框架实现获取数据库数据到视图的方法

    这篇文章主要介绍了Thinkphp5框架实现获取数据库数据到视图的方法,涉及thinkPHP5数据库配置、读取、模型操作及视图调用相关操作技巧,需要的朋友可以参考下

  8. PHP+jquery+CSS制作头像登录窗(仿QQ登陆)

    本篇文章介绍了PHP结合jQ和CSS制作头像登录窗(仿QQ登陆),实现了类似QQ的登陆界面,很有参考价值,有需要的朋友可以了解一下。

  9. 基于win2003虚拟机中apache服务器的访问

    下面小编就为大家带来一篇基于win2003虚拟机中apache服务器的访问。小编觉得挺不错的,现在就分享给大家,也给大家做个参考。一起跟随小编过来看看吧

  10. Yii2中组件的注册与创建方法

    这篇文章主要介绍了Yii2之组件的注册与创建的实现方法,非常不错,具有参考借鉴价值,需要的朋友可以参考下

返回
顶部