请教其它可批量将pdf的文件名作为其属性标题的办法
请教一下各位书友你们有没有其它办法可以批量将pdf的文件名作为其属性的标题,同时不删除已有的书签?
我用python确实可以实现,但是,之前录入的书签全没了。
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sCnkM+GCcviH127KoRv3QWIp2OZ1tmD5Dd6sgH49W74l+ZpA1RdyQYplXGvcgHLi07Yy1zI/VbQPaXgpw5q228FcPQ5XVaLk2nf1Deeuh1wL7GuZQHLJT6z9bIXOwePfHD5HWRKQ+eNaj1TEdK83Fs75sXfV/jRw7Q9Sc8vpl9Tc1bBmmp7rOkHMGUIIeYewicP8D7iOnlKje6W5rVhtzzbDOEd5dio6/of+eZJ+W/zzz0e9uHfu/jn3vw5s3HX3z+9neeefLF52+/+Pztw0U/yD4hzDbjpcwZRkHgFAjYHUGSP7TQncLsSz4SEbAokTmorJfof/qB6z3//c4nPtr3t3cOchONQQAEFk8Aoj/IEugl+i+88MKNRx/p8+/mzcfv3LkziGcwAgIgAAKSAERf0rjwdS/Rv7B1dAQBEAABEJgUAYj+pMIBZ0AABEDgcglA9C+XL6yDAAiAwKQIQPQnFQ44AwIgAAKXSwCif7l8YR0EQAAEJkUAoj+pcMAZEAABELhcAhD9y+UL6yAAAiAwKQIQ/UmFA86AAAiAwOUSgOhfLl9YBwEQAIFJEVgZJBAAARAAgcUQgOgvJtSYKAiAAAgYA9HHKgABEACBBRGA6C8o2JgqCIAACED0sQZAAARAYEEEIPoLCjamCgIgAAIQfawBEAABEFgQAYj+goKNqYIACIAARB9rAARAAAQWRACiv6BgY6ogAAIgANEfeQ3cWnAaGT2GB4FFEoDojxz2W7du7RaZbt26NTJ6DA8CiyQA0R857BD9kQOA4UFgYQT2i/6CHz8caeq7RaYjwT2FYRamOZjuyAR6if7IPh44/Gk9N8BJ/8Dwzq35aS3XudFf5Hwg+iOHHaI/cgDGHh6iP3YEFjc+RH/kkEP0Rw7A2MND9MeOwOLGh+iPHHKI/sgBGHt4iP7YEVjc+BD9kUN+wqJ/ft/Zar3dXTBB7OzKA4eRd+DyhofojxzzfqK/vbq6KuT1/L67tdxu16u77zvfibRdr2wTuigmpdeJgSQr7NLQnUmZFR3TS4id4QQOlgN+Ho0ARP9oqMsD9RL98/Mtaa3U0+16dWZlnmVYVu12O3FXEPotL/VdJFrb2USneGfflYSK5H4jqw85+0PsDCdwsBzw82gEIPrmy9fuWt1z/WjEk4F6if6OkhXy7pO2Pe6f33e3vdiuV1euXAlvAqqizxV8X6kf4t07ie7xV/rOxH5XfkDsDCdwsBzw82gEhhD96/esVmuvmtevrq76a9bTu659Wc7m+j0rX0Jqm6dm/T18F7EjPce1TvdsLCdeue4v+rtCyk7o9uYQJP/u+86l0seHQPJ5kXhbUBgiKepsPPRJXywWY9OXr93ll48r4Re16rik1lCuVWshH8SYcBKongiu26dmlYWQ+yO9VdeHL1fVHRkQOJTAEKJvjCHdt5sxLHfeFfkGFVss31B5yaHzMcbs20Vuu+a3G10SbmPCBVb8u65dW/vZiroLXvYRff8YPX/eUhB98Qyfn/nsFX3uYB8Pib4ahjvmu/cbui7JJQ+adrVUC5NSawKu1pCqFcg5MiFknCvpsVh9rjM1LbT0xf6VV7icaRhLOBEvwy6IRbWrGodae5SDQCOBNtHnzSW3QuWa9m3a9q5r1/1+C1sxbLGWWe3bRWG0jkFKm5ZubEGB6M6h1KjDWGdVH9HfUQr63vGAJQru+X1r98FuVchtY2ct9uTB6j8u/aSfyDotCQFa1nJAKisuKb7nerb+rNX8BGAH8yvRv5LoCzeMSNSkXyoa2LdcxUi4BIEhCLSLfuGYpB3T20Xk8g0VSrSFw3L7dpHwwL2Pz496qegrwXfu8GYv7uND/D1c9HcihTuBKOPjuJd8vln4c7o89NsPcknC716v/Wez1RtE/Ay545Zjla/v7aMWJinrDFIVqAxX9/2h15ZdBBRWtX7D2vCt/WuH6GcO8MIQB4SsgSqocVCNkAGB4QgMIvr5cSmcfO669uWwkdhrkcs3VChpmeAhu4g8V7s+H9ieJyuN7P6uVOa2CiWXIPpSutdbqfTZM/3t+uy+887D+y5JnY2HeKbfLeti+RDMwmFf34bjiopXruNdd90lPouiQrZn+9vAimV8jd7nZanwkIc9vHZ1dfVa+eMHO1D8echyjb1wBQIXJtAm+m7Y9FzsvUl2KBeLsrANQ1ko8RYu8tq9iwoykW1lV3DXNd7p6+udfexjqtp7/70TOFT0paIXHLef3MrfoekU/R2lqOPVY7x/r8Dt44/wa0KxqPdVLUydop8ukLByjE0+H9qFi/DRrG7o+vkX3z9p7W8H1+4RR4TQ1ncWn//aHdE5Fd+rxsHX4xUEBiYwjOjX/v+PfO6dKef6mnumX9uYF5xq311EDqUnNSrbc26v3eEu7u2uVyo+ySkWanMHin5B3nMLsSTeMOyo23V8EqT9SHO1MHUqZSq0tXxYUuGi8kw/1htKwV5S7mrCp1BW3/WbCh7BFYVFEgyy+dKPGodSW5SBwAAEBhF96UdY7rIwXsvN5K/jMxZfEttf4KrfLoqDxiFo+GQjx0p/tWeCvlnf1wNP+snZuir6/g3B2X33iWc64lL856wo3In1nU1B4sPTm1BCDbZre6NwhTRyn+f6tTB1iX4modlJwh0zwkIKF8nZXViileCirlv7N1J8MrAdYgNhgEPNnoQzhFgk1KXrIFHjwFbxAwSGJ9As+oVt5zeLf5U6apvbEreDnAUqi3uqYaa9dtH161evsn/Rudru5HI/l9Jr2OoXcfoQ0efB1VG8IPpW7qPsevnPPA9Neoo+NXODB/XfxRTFvnzriC3tVS1MSvSVtBYCpOrFST0spHCRrC3d0Z8A8tahxHVw+VBsKFFOv2sUou/r40LjPuFHjUNogAsQGJbAEKKvlrNe7uINM/ttdxdvEteLr++9t/oLcYdP97BdZDesVUQ1kdrA6QRr7XqW9xX9qKk7kQqiL2r5Up3KQ2X5P2eRrheTutPUfls//28EYbjCRS1MTvTdUSDeUKmAP3uVUXKtpM9cTVHlx3TholP0jUuxdXobEDX2E93EMfofiNSmlNgjMlg88Nc4eJ/wCgIDEziq6NOu8Fv2On8mxpt2fT0+S+W7xJ6n6nsQHLiLeDe6veqd6xphJNHfXV7qedIf2IFamLyOy1hYOWWd5ctQpw/s6RFDfLIa/4+tjW3a0ZaGdxk0irxphHyQ9ij6tqv+ecAiqXHQBpEDgcEIXJro231KYup3KJX4a/aft7ctiXtQbK8LTrLvLvIeCp9skSgouHDAfi70zor6nvR3c0vlMHEE1E3f3gRkkWgT140Fm+bF+d6HO5zF8zBTEy4NF66/N+vPKHx3iSs7C6o5YJGUOeQmUQICAxFoFv3Uj+py9xvHdeA9GI9L/nwnbhKp5b75fbvIH+3zTe9GoAauMlOKIBnJhRSlvo5yO4h+HZelHxdJbGnfJ4qTfQiUj6qPcnimQi1ilOJqFCsvhN2bd+8Prl5d3XOdR4gG6AOE2hMbA9GPocLV5AgMLvrjz3Cf6I/vofQAoi9pLPD6tJbrAgM0vylD9EeOKUR/5ACMPTxEf+wILG58iP7IIYfojxyAsYeH6I8dgcWND9EfOeQQ/ZEDMPbwEP2xI7C48SH6I4ccoj9yAMYeHqI/dgQWN35V9G8hHYvAbpHpWHQxDgiAgCLQJfqL1CJMGgRAAATmTACiP+foYm4gAAIgkBCA6CdAkAUBEACBOROA6M85upgbCIAACCQEIPoJEGRBAARAYM4EIPpzji7mBgIgAAIJAYh+AgRZEAABEJgzAYj+nKOLuYEACIBAQgCinwBBFgRAAATmTACiP+foYm4gAAIgkBCA6CdAkAUBEACBOROA6M85upgbCIAACCQEIPoJEGRBAARAYM4EIPpzji7mBgIgAAIJAYh+AgRZEAABEJgzAYj+nKOLuYEACIBAQgCinwBBFgRAAATmTACiP+foYm4gAAIgkBCA6CdAkAUBEACBOROA6M85upgbCIAACCQELlH03/aODf6BAAiAAAhMh8But7tc0U/uMMiCAAiAAAiMReBt79hA9MeCP59xX3jhhflMBjMBgUsjMMhOMQ1pt9tB9C8tvEsyPMhSXhIwzHWhBAbZKaYhQfQXuvIGn/YgS3lwr2AQBKZGYJCdYhoSRH9qS+JU/RlkKZ/q5OE3CPQmMMhOMQ0Jot87VmjYSWCQpdw5AipBYA4EBtkppiFB9OewjKYwh0GW8hQmAh9A4FIJDLJTTEOC6F9qfBdkfJClvCBemOpSCQyyU0xDGl30t+vV3nS2OXcLZLtexYxfNMVCX4nXIxHoXMrnm7PVeis8QcwEDFwuikDnTulLwtTTlStX6pVUM77oX11dlWqwS5OShzTDSqIK0+7IH4lA11Jmzd9szjpu7/m9/Eh+YxgQOC6Brp3S2xNTSVd8qtRT8fiif+hJf7Vyh/2g9eFihzQegY6lfL45SzUdMRsvUhh5XAIdO6W/Y6aUvOC711ITKhtf9Ped9Hcu8Wnx6lVS/O16ta6fG1N98QbweqkE6ku5JPClskt1D8ZBYCIE6jvlAAdNloLiG2PkddZwIqK/58E+PQ0mzT/bbPwzferhHxJDQA5YLJfWtLqUY6gohsWE+/SlhQWGJ0egulMO8dTolKt8XhJ6TPGkTwf57DG/VXan73zqD00g+oeslstqW1nK9n5u46nD5h1B+DwJvC6CQGWnHDZ3o5OVeF3mzvtJ4YQe71QPgf4J/o5TUSCKhbY9fh6NQHEpU1jvvdc/wasGGSf9o4UJA41OoLhTDvXK6FT7jZ1i+dgnfX/48680d3nSTwQ9ZKv6UfiVzkN5ov1FCBSX8na93u62UvRr7+EuMiT6gMAJEijulEPnYRrSBESfj3l1EVcqHkRfMioWyga4PgKB+lJWoo9n+keIBYaYMoH6TjnAa9OQRhZ9ecAPM5Yn/VBoL4r6XixMOiJ72QTqS1mJPk76lx0I2J84gfpOOcBx05DGFX2v+Xt+eyd+rlvU92LhAfzQdAgC9aWsRB8n/SFgw8YJE6jvlAMmZRrSqKIffplPy7Y76bv/0uNvDAxEN3SMioWuDi/HIlBfykr0cdI/VkAwzkQJ1HfKAQ6bhjSm6MfHOE62qwf+oBT7GvI5Er8LcsDiGaxpfSmz6Hd8aGMP/4jaYKGAoUkTqO+UA9w2DWlM0T9gimg6eQKDLOXJzxIOgkArgUF2imlIEP3WEKK/JTDIUgZMEJg9gUF2imlIEP3Zr7EjTXCQpXwkXzEMCIxHYJCdYhoSRH+84M9r5EGW8ryQYDYgUCAwyE4xDQmiX4gKii5AYJClfIFx0QUETovAIDvFNCSI/mktmOl6O8hSnu704BkIDERgkJ1iGhJEf6BIwgwIgAAIHIuAaUgQ/WNFCeOAAAiAwEAETEOC6A8UBJgBARAAgWMRMA0Jon+sKGEcEAABEBiIgGlIEP2BggAzIAACIHAsAqYhQfSPFSWMAwIgAAIDETANCaI/UBBgBgRAAASORcA0JIj+saKEcUAABEBgIAKmIY0v+uL78mtfv2u/WTmrXW+L38WM7+gdaF3BDAiAwEQJmIY0KdHv5ivuDrudylAOUt9Nb/xaHbLEH3tHD383QdbmVepeXwi8rE9MdlTRmPlY7MmeXtJbXIPAMQiYhjSm6MutRH9II9mfKTq7IcWf2wvtqSZk0m7Ij08ghK4SJV9fqM6r1B9K4zUkdZ8LCnZ2u11HlUWUj9Wn1/h44cHyCJiGNKbo20jRVixv0iSStCVDQ5fx27R0K0i6IzsOAQoRq3I10NxivT4rrIOOKj8bMhtUvzqGlfywfHxn+Vocq8Og7ItrEDguAdOQRhd92lVWy2nT1RLt1qx+vU2e8ux24c+xHjcCGK0HgYp+stZuzjm6iSh3VMXxyKwXffUmIDahq44qblgea18vPQZyIHAsAqYhjSz6vNWt0vuNy9SoPFGAIk3fzm9OiH4R0yQKi6IfJJtXggp5R1WcD3fzS8nWZpgAAByJSURBVMeOwEXpmuqoImOVsfb0im7gCgSOS8A0pHFF/3xztt6wvjv1trssfE7rs/7RavpGwHWO5ziI/nGX3iGjiWC6blLo5bX/RNXdA5KqOCZXhGO+le547LdvDd0NgQavVNl2xbG6ekU3cAUCRydgGtKYok97dr21Py20oAu+MBQIqP5UT0WiHe9aiL4ANbHLNJaU92d09/DOn/Q7qvykKPJSxv2NIlr0JWSUW5erOsbq6OXdwCsIjELANKQxRX+79vvRbfYo517Mebf6zbpd8yOf2MqLftycEP1RVmCvQbXoc8zSd26c57dvxRr/xM/19beIMLoeQYo+P79R7dmGPXLUx+owGAbFBQiMQMA0pDFF36Ki3cfbkS68vodCofq+jHaiTdyaiumjYC72/UeIAobcQyBTUNWew6hkOVQnVRzoYktqqFZALIhXzmxWYMup2N9b7JmiYjB4hwsQGIGAaUjTEX2lCbT3/L72J3ve7Fbd3Ub0JYG57BYKcTENAirAmUtabVW1ruo0wytCLBwh4B1VYjQ9lvuYoGxQ9MIlCByZgGlIUxF92mziTEVZv9Xcb9tZ7eetK1semTWGuzCBTrW2T91DyNUgSog549/qhddk6fjyxJ7sm1T5AdVYtrBHL98bryBwJAKmIU1F9D0qK+q0aZNduV3HjR0b+d2tXpOe3jReQQAEQGAeBExDGl/05xEDzAIEQAAEjkbANCSI/tHChIFAAARAYBgCpiFB9IeJAayAAAiAwNEImIYE0T9amDAQCIAACAxDwDQkiP4wMYAVEAABEDgaAdOQIPpHCxMGAgEQAIFhCJiGBNEfJgawAgIgAAJHI2AaEkT/aGHCQCAAAiAwDAHTkCD6w8QAVkAABEDgaARMQ4LoHy1MGAgEQAAEhiFgGhJEf5gYwAoIgAAIHI2AaUgQ/aOFCQOBAAiAwDAETEOaluj7b1EucpHfdshfsOa+Q1992Vryx5SKhlAIAiAAAidNwDSkaYl+/GO3hYCQ6Icv0FQZ+l7e+B2cha4oAgEQAIEZETANaWqi36HfhZO+C6K+A8wospgKCIAACBQImIY0rujv+WJ8/+DGnu+VtLtMdiPIvoe/wAtFIAACIHDSBExDGlf0c+wdf14pE/j1lv/eUnjks9vt8IfRc6QoAQEQmBsB05BOSPRLYfOnf/8JMES/RAllIAAC8yJgGtLJiH7xSdB64z7chejPa0ljNiAAAl0ETEMaWfSzRzb+Mb54TX8vxws8IREnfX7Kg5N+10JBHQiAwDwImIY0suhnAeh4pr/brvlXNnPR51sH3xsg+hlRFIAACMyOgGlIJyT64lTv3gewzts3C+4/aqXvCmYXa0wIBEAABHamIZ2Q6Nun+qzuTtt9SVgD/r4QCnABAiAAAvMjYBrS6Yi+fapjdR4H+vmtYswIBECgNwHTkMYUfSvg4iPb+iWd76PS7+kof3G/N0Q0BAEQAIFTIWAa0piifyp84ScIgAAITIqAaUgQ/UmFEs6AAAiAwH4CpiFB9PfzRQsQAAEQmBQB05Ag+pMKJZwBARAAgf0ETEOC6O/nixYgAAIgMCkCpiFB9CcVSjgDAiAAAvsJmIYE0d/PFy1AAARAYFIETEOC6E8qlHAGBEAABPYTMA0Jor+fL1qAAAiAwKQImIYE0Z9UKOEMCIAACOwnYBoSRH8/X7QAARAAgUkRMA0Joj+pUMIZEAABENhPwDSkSYi++LMo9F1q/b4wTXTajwgtQAAEQGA+BExDmoLoC/kWl/vikzfFt+nvY4Z6EACBWRAwDWkCoh/V2/4RrNIXLKu/mlJqcO+96xW9R7h169YsYopJgAAIgECVgGlIo4s+Cb2V9HAV7wLVKe929Bdz5a0gftt+VyfUgQAIgMDpEzANaWzR57+HQoIdJF/KuYhN/V1AdvDv95mAsI1LEAABEDglAqYhjSv655uzszM+6W/X8fPb/A9jlWTc3gVKNacUO/gKAiAAAgcTMA1pTNEn2ZZ/59xPPD648SXiNb8jxJM+HvEIULgEARCYLQHTkMYU/e2azum5xOcl9hE+qzu9Myge74u9ZhtzTAwEQGDBBExDGlP0bchysc5LRHC7nu3jpC9A4RIEQGC2BExDmqjox0c29ni/OffRs8+EfE68dt4qRDtcggAIgMCJEzANaaKiXz+zQ/RPfLXCfRAAgWYCpiGdpOgn7wNCtn6raGYMAyAAAiAwGQKmIZ2k6OOD3MmsPTgCAiAwAgHTkMYX/RGAYUgQAAEQOGUCpiFB9E858vAdBEBgkQRMQ4LoL3LJYNIgAAKnTMA0JIj+KUcevoMACCySgGlIEP1FLhlMGgRA4JQJmIYE0T/lyMN3EACBRRIwDQmiv8glg0mDAAicMgHTkCD6pxx5+A4CILBIAqYhQfQXuWQwaRAAgVMmYBoSRP+UIw/fQQAEFknANCSI/iKXDCYNAiBwygRMQ4Lon3Lk4TsIgMAiCZiGNL7oi+9Krv2BFPsFa/QHdf336tf/aGJossilgEmDAAgsgYBpSJMS/X3B4ptC8Ss2XU/8IZV9CFEPAiAwAwKmIY0p+ulxvUvOfZi6Zb271tvAKwiAAAicNAHTkMYUfQudpL+P3PcJEUS/DyW0AQEQOHECpiGNLvp83GfRrz3Rpz+Mtd5sztwfyOq6QUD0T3wpw30QAIE+BExDGln0hdCrT2CpvKDuolj0DH8ukS6UmT700AYEQAAEToyAaUjjiv755ozP8Outk3P/rCfJ+oAkop/dFnDS96TwCgIgMGMCpiGNKfpWwoWQ77zm73xhKLDh88W7XWgx47hiaiAAAiBQJGAa0piiv13TUV0IeTyoh0K6iE9sQrHqVoSCQhAAARCYKwHTkMYUfRuPIORS30Mh3xOC6sdiea9QcY03DlWMDAiAAAjMhoBpSNMRffUkR6g7PfPxqu+KzzfrzXbvR72ziS8mAgIgAAKKgGlIUxF9knMv7ekT+6j6dGNwv6GTdHBA5M1CMUIGBEAABGZDwDSkqYi+D4aTdfrV/K0vC69a0mNT+Tub4s4R+uECBEAABOZEwDSk8UV/TpHAXEAABEDgCARMQ4LoHyFAGAIEQAAEhiRgGhJEf8hIwBYIgAAIHIGAaUgQ/SMECEOAAAiAwJAETEOC6A8ZCdgCARAAgSMQMA0Jon+EAGEIEAABEBiSgGlIEP0hIwFbIAACIHAEAqYhQfSPECAMAQIgAAJDEjANCaI/ZCRgCwRAAASOQMA0JIj+EQKEIUAABEBgSAKmIUH0h4wEbIEACIDAEQiYhgTRP0KAMAQIgAAIDEnANKQZiz59PVvpa9uGRA9bIDAfArxjBvw70/SViJf2BYgXM069Cl/leHoxNA1pZNH3y8x/T+aQSwSiP4ml3BHitCpTiKxBfcPq71ytrCPVKOz9bJRKb4GTuoT+ojy57NnM/h04pUaZT8XR0lb7HU8clNmLqai0kFyzd00uJQZV9mLuUq8iSmX7BDKmIU1A9OOyGHaVsLVZBPgE1mDdRQpDJcS6qiZ9e0PIgRZj7PhvLauCgu3ddu3cShYKZ6PH6czsaOXv/hZtezbjHr6tmCkV1X3w4+hWbGZ/J985edW2ksoJZi9B9PM7Ql4yFRKmIU1K9N3WFGu/BTHvgYFstfix8L6pmIiwpFVESu1l0bZKsdKG7MQznbKamsosVFsHh6lFfWn1bOb84NbrtX4W2T2An0EYSJjq8Mt3K75WJ11sPX7hxfzt5JpX5iXjT9x6YBrSxESf97zdTTao9FcR5VNGWuYxpfuO+vi03ohn+tbYeYhYmrdnQ9tVnpXkcKK87FuwjgtBIBUmEeKsiroxchdYeS1Myssskr5S9C2O49vpEbm0ajP0oRbp4guV8aJHM+eb8Da4sH+AbGJxQDuHntuHGsfkFzr75Ip9WXDOlgsXo41QaH2Iu04aVPzc7EV9sOFXhPMjlqfGI/WuK+q13uYDiRIa6Wxznpd02T16nWlIExN9Iu3Wl1tEMcruXXss4LDE1cgdQq3uTrnYMjlPctNYe77Z2D/apTqpwbTxowf8pAYUIWW/RV5ciimJUrrsFlfRWJjQA+2zktRzcMM6Sq3aPLXZ04Qa7m1GDXjlJT5w1umcfMeSeEPN4sK1ty+X51loJ7koes1jxN7BlTjDUCmbqnbbzYY1vVjI0w82ukZ30/VtVVP6g9juviHd0MYTLvUsmw7MOOdHLYWLGkRidbPHrzENaVKir4KtMgSVCmKAGDOvAhuUvFZUZn1Fa9mMjbofVK7iTQVu/Mw32RHXioDA5oIYsOoq34tKXRO+jNrni33L8qLwtcFOeRjfzJ304ygq6LGVuqIF0KNdd7PgoD/Nli1aCMU6PTO1KlWGfKeC+vZJ6smwGjGMxN6oqrr3Ykhx6UEKS3wpnBNVvrV9JTNu8IJF3baYS3rpgYR11zkvKVododA0pAmIftxualEm4VFv+wPk0EhHj+tlUWjnesa8bBXM+nUsXHOXdsXF7rILrksEGHAEKbY2h1TmbXfq4EprwYnjiMaxMLHT0YZbylEosl5WUoMiT81S5RPV/rKrmV5D0gffO77qtrGce5XZpl2KA8hG8jqx60fgGfs6FbhiobjP7Bk9rU7y5FpM3aLvPaH2ykVLjUyJwOmBkkp3pxTNI/nRr0xDmoDoF0JDSOUipLyOD5XIRoVaWZQai3nZyhnll1q5Hlb2wHWRAIGshLhYJcHL66LxfJmEZqJvjHaolReipVtSUhdky3BNFnuIQb0ZjxmFTFyVzFLrEsNaudwZzmc9SVcowcjrYuMweb8ZU13lXrIwmiwarFeL5tQosqacAxR7S8f2XQsD1FQM5Jhp/EnzfdaPWG8a0umIfnYX0DHL1wCV+BWig6ukIu9oQ1crp9quOtsbPz0BQl8SLBe+tEqhTcPmbcpX6uDDLMqVnUob1zwdpbs1d6ImWh7E0PGyZzO9kmP3cFWz08GWuii2WUEieapeZYIb6QW1yjCIQmFFXHorAru45NqY1/1i+UX3INkTgZMGrUlRWbwNeO/HfjUN6YRE396WRcgogDHLubjMORurVVtb59ty4KOd3XZtA5+Wn2/O/IogA7772NGf+viEscIqrbJx8ZD3SqGfeRoou3v1oLaN9ON8c+ayXCdGtQtNtvUjhVfyVPbgY4AuobY9m+UzDf+HwFeVvUkBBv9KmphiYtpxEpSNo6SNw+IXn6vGs0+xUPuQGlSjc2V0RRzAZTNrwlPW/oqZd15Sr+JAPlwRQaFEelO77hx+uErTkE5J9IkYo/ZvhnWAdKX7vawYYLdk7JtFMiN7S7Oxi7vNuOFE+7T7cLGcnyXiLtDJCYqQWMYCPbfjBmmhtBCuE1PFPrpN9Kkwim1atMJD0gJQtQUbJdEvN/PKLi1aD8pY1KzjPEIxXZSXqFznSVSyDtID2VbYiGNXC2MTvT+lRSHydg4SU3TjbHNOwzhKmb9q+rWMMEBN5ECU99OIXqsS2bx2XRt54HLTkEYW/YFJwBwIgAAILICAaUgQ/QUsEEwRBEBgXgRMQ4Loz2stYDYgAAILIGAaEkR/AQsEUwQBEJgXAdOQIPrzWguYDQiAwAIImIYE0V/AAsEUQQAE5kXANCSI/rzWAmYDAiCwAAKmIUH0F7BAMEUQAIF5ETANCaI/r7WA2YAACCyAgGlIEP0FLBBMEQRAYF4ETEOC6M9rLWA2IAACCyBgGhJEfwELBFMEARCYFwHTkCD681oLmA0IgMACCJiGBNFfwAI5mSnKby68FKcv9tWMl+IKjIJAAwHTkCYi+v4LTPmrZOU3zDZgQddJEGAhd99OTS/xW2tz9w4SfbVmpNX6iFwjm+YuoAQEToGAaUjji77dolLo5V+QGII/qYO0P4RN2OhLgOIbdbZbdrm2X6i2a2GV9T8McsiIfWeBdiAwKQKmIY0t+rRdw269JKoQ/UsC28usluD871ZIIweIvuyW/M2QQ0ZMzCALAqdBwDSkcUU/3Z4Jb3tH2G7O1GMBVgb3vEDdL2SFOy7KIvVoQVfIw2V50MQzZHsTINIqTPoeTDmf1hsKdRqMEGpeCLJW+GCjds4lHSPKZtxWDK+cFKZxCQLTI2Aa0qiiz8pb2cWE2e1I2ULtWu7v96r4O52q3JqRNqzdWKKbFwadXshPyCOi62NEbss8sw6BSMhzWOItIKlVBHQE5QjJiGQkOMMWQ253vtlslVVkQGCyBExDGl3046bL+fKuDJrgBEPmlYLI/tQzNFQZew9IRmXRcO2zQaVdXB9MQEuwpEvXOhBpHOq1wg3uJA3VR5R/OVaOJazhEgROgYBpSJMXfbnv7fb2DwPCq1L3UFoT/eJmF/ojLk8h+JP3MQlajGchEKJIXPop1oqKt464DuKI8oZfMObHwSsITJ6AaUijir48eJUop/rbtVGpbTzdU07dC0KG3xzEOjesGElclnxC2YEEKGhSd0P3QjRFkbj0PZIizoow+2bVt3/q897EWOiMCxA4BQKmIY0r+unT9YR2pr9ZQeiga/SOproo+qU7jWyvLYUBcHFBAsS2KPqFQBB7H6o8DrK2a+XUR5RD5vYvOEF0A4HjEzANaWTRd7/Bp1ThfHPmRCLfl6zOXhbsQ34r51IQbKPYKjWTGpF95ROA40dyjiPukWAReo5DEH0r6/F2oWspJ27kCtyeEb3JfBnUDCrryIDABAiYhjS66BM/u/38U1i/KSv6qxrHtsLI2eY80QQnGLnA2DGFlcqgE4jyqbrQIcHxF7Q4Dustx1ZIr4+bfXInatUi8AvHh7djRDIoo60HOFXE8Ht5BExDmoToLy9kmPEFCAjRv0BvdAGBGREwDQmiP6OFMO+pQPPnHV/M7hACpiFB9A8hjbZHJBA/26FB+UGMfDJzRE8wFAhMjcD9F03GGIj+1KIJfyIB+ci9+rltbI4rEFgKgYtq/v0Q/aUsEcwTBEBgTgQg+nOKJuYCAiAAAnsIQPT3AEI1CIAACMyJAER/TtHEXEAABEBgDwGI/h5AqAYBEACBORGA6M8pmpgLCIAACOwhANHfAwjVIAACIDAnAhD9OUUTcwEBEACBPQQg+nsAoRoEQAAE5kQAoj+JaKbf4Oi/CdJ96edwXyGQDjSJ2cMJEACB4xE4YdH3wui/HVcoY1qlvhKX4GYNKv9RX/5ffmF/6PiwO9G+VOakqnHkYa01OnNAd/JbfG2y7MlT8mtAvFaay664BoElEjhx0Y9CqeSMMrHKa7yQAW4t8qXQp222a2my1GOgstT7FrN0/9gzzxbzR+jLYSAx7z2N05/zEbBiiOUSmI3oO2W3ylCSTXl8tif9bhVR7Y+6QIYc+bQFMMTxgGmEPkeNGQYDgZMhMCPR52/QrYu+Eno+Pu4X/drp0skyW3FPFBJjsip9g0C9XfJVzqD7FmBfy+9WQpVfU4Xu/r2M7ehckS6s/B99Sq3pRmISXOH+HpUy69046iu5LZyrj01ue6j1VqgBgQUTmJHoi/0uLkVsRSld7lMRJ64lrXFVQV3YXLSnlJXrQkvuGXK7881mSx6qHiqTVwlR893PN+vNuZ2pHk7cCG21ss3OxPmprnZKYaykqaB6lEsaPjpaH7Jvu7oF1IDA3AnMRvSVKpFiRWX1MWQds9LhJC0cqSuKEptpxVGDsfnEtmpOddYb0co7ZV/JYHBYZaToV7srY9Q9jK8y+u6ihynNIrqkHp6p0Y6TSadRHjWCLtejFARAYLc7cdGPqi0Fip/kBA0NYRaa0E8+XU9SHErRYkEvQxGbFn65S5Lh+qihNw2pMiJX7+7/OlQYtofoF63FodPqNB+oHuWC/Apzqo3Yq1GtM8pBYCkETlz0ow6rgJFCZVVStuS16lnNcA8vPFEbQ/tQ1GG6XhV6kz2VEblqd+oQRZFyQSBVRtkuWotDp9VpPkz8KBfpNAqDjutgwSEUgcA0CSxH9KOe+d/TD8rYLzRCeOgyCit1F9bFZWq4WqUqVKaHZd1eix/VyXmKtuLS+yn6ikuuTfO+y3Fe02nko47rX+4PSkBgqgSWIfqkGUr8ekjEdq3eLKge1l5UU84HbeWmsZKe6vi6tGq7tjVkILw1URkp+vb5kLBsu8vR7QCxibalbk4FawKSmu8Fb5PDLXqahmfIVuWcqSB1d7ihYQkEZkZgvqIfnm8nes8B7KcRrCzeTtDkcK7f0q8AuaQUSf8GZVRzu3akVd+NysIAKqNEnwyUujupt587UANvV7S35rVtbS16UFDRfsQua3ckc8pFPp3XZTkCuyBw8gROWPRHZA+JGRE+hgYBEGghANG/CD2I/kWooQ8IgMAECED0LxIEiP5FqKEPCIDABAhA9C8SBIj+RaihDwiAwAQIQPQnEAS4AAIgAALHIgDRPxZpjAMCIAACEyAA0Z9AEOACCIAACByLAET/WKQxDgiAAAhMgABEfwJBgAsgAAIgcCwCEP1jkcY4IAACIDABAhD9CQQBLoAACIDAsQhA9I9FGuOAAAiAwAQIQPQnEAS4AAIgAALHInCqoh+/V9J/z2Xt9WxznjU+22zcX8OSvcLXXAb4ha9XFt9fyc0y29JivE67hSFwAQIgAALHJHCqol9glCj0gS22a/d9xPQVCz0TKTmJvlT0NO++pVg2KXiGom4CBariW6MpXBJwdiOWld0DoRYEZk9gNqJPGz0/qqv46buCzp1vzgq9dZtM4Mm6laNMZsJtY70tdlOOIdNBIKBNlJtvzq7MtgkNKFuIZscgqAKB5RA4adEPehAkNrkIMkABTRQ8HO2pjiyljVW+uiLSnmm+ZLxqDBWaAMFk9SaF1/FIvvOOWoYWeWttFjkQWDKBkxd9LQUilIn6JlmSeXEYVHcA0ulzfujPLVhPkrtJ0Bd/uyg2cn8NKx1aOInLfgRyGSeoIoAqm7fuNwpagcASCMxJ9PVRXkst6UBIdKNQjdUdINwAXKk2ZE/uUW7S2jSPk/4Q26gk44I0XeqQhFjH8/8QfsAGCJw+gWWIvpX8cG53oi+EwV/SE3hxyOf4CnGx8Va3CK7diL+W6025VzzTH2KTlERf3cfFnxhW41F4oPsKCTJLJzAr0b+6uroNARVavV2vrly5Ys+Cojg0tRdSWKSuZz3CWwHql9bKfO2tQjIwsnsJyNhwY8IsxDzJKnvUN74NUFXIgMACCcxI9NUDm0yNfa0UZR3vVFi2aysVvgfV2yQlxNd6WzLvxpRFvhleDyKQxoaQxs9VyFRe4gegGhkxX45XEFgmgdmIPm960mS/v6lAfMqrRL/wOGa99S3sQojnw8SQXyfuvJ/W2ry/QbADaRNvAa+9CbSIftq396BoCAKzJHDSoh8iQrLq1N7JrZf+0MRLelWBqSL0kkJR7uFL/asfKM0XngD5pnjtTUDGw3aikhAue873Wf8WjRpSOES73gOiIQjMlsCpiz5v6nxb58XuZsDPZ8QbgBhYoSvisqbZNACLjBvJPfipvhSHjIPjqpuAjohrq9ArwLJGVXSPgloQWAKBUxV9r+H+dFeMFe99t+lrJ31vSDwY2qoPhN1pMZdza5jG2KMrPZoU3UchCIAACAxO4FRFf3AQMAgCIAACSyAA0V9ClDFHEAABEHAEIPpYCiAAAiCwIAIQ/QUFG1MFARAAAYg+1gAIgAAILIgARH9BwcZUQQAEQACijzUAAiAAAgsiANFfULAxVRAAARCA6GMNgAAIgMCCCED0FxRsTBUEQAAEIPpYAyAAAiCwIAIQ/QUFG1MFARAAgUFE//8DnLkFmO75d/EAAAAASUVORK5CYII=
试试calibre的批量元数据编程功能。 用PdfToy的“文件属性”功能可以批量搞定 strnghrs 发表于 2024-10-1 13:35
用PdfToy的“文件属性”功能可以批量搞定
感谢马老师的指导,已经完成修改啦
meibf 发表于 2024-10-1 12:36
试试calibre的批量元数据编程功能。
感谢你的建议,我会试试看的
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