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"smart_sources:20-我的收藏夹/21-浏览器收藏/开发网站/加解密/tracelesstlf-encryption 一个简单的流加密算法-TLF，可以用在对加密要求不高的地方，有一些场景是可以使用的。R4C的方案固然是更好的，但是实际使用起来会比较复杂一些。这个加密对实时流解.md": {"path":"20-我的收藏夹/21-浏览器收藏/开发网站/加解密/tracelesstlf-encryption 一个简单的流加密算法-TLF，可以用在对加密要求不高的地方，有一些场景是可以使用的。R4C的方案固然是更好的，但是实际使用起来会比较复杂一些。这个加密对实时流解.md","last_embed":{"hash":null},"embeddings":{},"last_read":{"hash":"nu7rjt","at":1756625978726},"class_name":"SmartSource","last_import":{"mtime":1756520248130,"size":893,"at":1756625978740,"hash":"nu7rjt"},"blocks":{"#---frontmatter---":[1,4],"#Metadata":[6,10],"#Metadata#{1}":[7,10],"#traceless/tlf-encryption: 一个简单的流加密算法-TLF，可以用在对加密要求不高的地方，有一些场景是可以使用的。R4C的方案固然是更好的，但是实际使用起来会比较复杂一些。这个加密对实时流解密比较方便一些。":[11,16],"#traceless/tlf-encryption: 一个简单的流加密算法-TLF，可以用在对加密要求不高的地方，有一些场景是可以使用的。R4C的方案固然是更好的，但是实际使用起来会比较复杂一些。这个加密对实时流解密比较方便一些。#{1}":[13,14],"#traceless/tlf-encryption: 一个简单的流加密算法-TLF，可以用在对加密要求不高的地方，有一些场景是可以使用的。R4C的方案固然是更好的，但是实际使用起来会比较复杂一些。这个加密对实时流解密比较方便一些。#Highlights":[15,16]},"outlinks":[],"metadata":{"raindrop_id":670472471},"task_lines":[]},
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"smart_sources:20-我的收藏夹/21-浏览器收藏/开发网站/加解密/tracelesstlf-encryption 一个简单的流加密算法-TLF，可以用在对加密要求不高的地方，有一些场景是可以使用的。R4C的方案固然是更好的，但是实际使用起来会比较复杂一些。这个加密对实时流解.md": {"path":"20-我的收藏夹/21-浏览器收藏/开发网站/加解密/tracelesstlf-encryption 一个简单的流加密算法-TLF，可以用在对加密要求不高的地方，有一些场景是可以使用的。R4C的方案固然是更好的，但是实际使用起来会比较复杂一些。这个加密对实时流解.md","embeddings":{"TaylorAI/bge-micro-v2":{"vec":[-0.06935138,-0.01603658,-0.02110938,-0.04062914,0.00550692,-0.02654494,-0.0176421,0.02527037,0.03632124,-0.00708679,0.03509593,-0.08957571,0.05279526,0.00376822,0.02135234,0.05927506,0.06418287,-0.03108404,-0.08056092,-0.03519995,0.0846082,-0.07212666,-0.00841729,-0.04555064,0.05976678,0.05850911,-0.02620085,-0.03920186,-0.02214391,-0.1705437,0.00436114,-0.01678642,-0.04204833,0.04986114,0.01061183,-0.03884384,-0.02863445,-0.0119455,-0.03163254,-0.03359128,-0.00717263,0.03624034,-0.01872904,-0.00023376,-0.0082115,-0.09217964,-0.00472882,-0.03939893,-0.01808343,0.01630535,-0.05458821,0.04491817,-0.0026321,0.06387547,-0.07108784,-0.02016211,0.06155594,0.0420917,0.0459963,-0.04095724,0.08631001,0.03887489,-0.16283032,0.04645693,0.0514203,0.03528249,-0.02893351,-0.00082754,0.06596452,0.01843356,-0.04275844,0.04923207,0.00613891,0.03455909,0.00420507,-0.02827646,-0.03609129,-0.01495859,-0.05296252,-0.04492085,0.00465895,0.0241914,0.02720516,0.04502929,-0.07711124,-0.02462551,-0.03294143,-0.0307508,0.0055352,-0.02854288,0.03549208,-0.06752332,0.01183984,0.04028186,-0.05676096,-0.01959392,0.04251827,0.01019347,-0.08077018,0.12705353,-0.08283179,0.00081244,-0.035759,0.02416973,0.02958922,-0.02376168,-0.02851739,-0.08376005,-0.01811318,0.01516515,-0.00068692,-0.05201078,0.04313855,-0.04625025,-0.00457935,0.03528921,0.03098477,0.01636343,-0.05382409,0.03139392,0.01187212,0.00882283,0.05630462,-0.04804783,-0.00701423,-0.00410132,0.03698248,0.06107493,0.05599206,0.07982881,0.02366023,-0.02647647,0.01026095,0.00125689,0.02369526,-0.02581649,-0.04640644,-0.0013667,-0.02919988,-0.07385912,-0.00908108,-0.07282925,0.02199008,-0.07564987,-0.02059499,0.1073394,-0.04959052,-0.01930853,-0.03407846,-0.06650737,0.05362625,0.04227694,0.01828749,-0.03140351,0.03812625,-0.00130399,0.1063898,0.10399999,-0.03061266,-0.01770205,0.02339916,-0.03050418,-0.01040701,0.12119928,0.00101932,-0.08227636,0.00598267,0.05019616,-0.01104224,-0.05204169,-0.01113687,-0.04776129,-0.02246002,-0.01875225,0.01557808,-0.01418142,-0.03281567,-0.05856443,-0.04511607,0.0500267,-0.00393103,-0.02522552,-0.05142223,0.03160625,-0.03898517,-0.02444922,0.01718625,-0.02340414,0.01445025,-0.02484225,-0.11075132,0.05478537,0.02889147,-0.0073704,-0.04398388,-0.00625901,0.02226953,-0.04357672,0.027492,-0.01725459,0.12604727,0.00370785,-0.03383794,0.01628269,-0.03928913,-0.00444549,0.04870046,-0.06448421,0.00023225,0.09246818,0.04491771,0.04276739,-0.02845546,0.00703795,0.01157107,0.02366376,0.003774,0.0295857,-0.04223985,-0.01254832,0.02828587,-0.04709869,-0.10293103,-0.21912953,-0.02732955,-0.00331015,-0.04617622,0.04412109,-0.10436517,0.01328426,0.02902319,0.03895252,0.08789791,0.14452781,0.06177051,-0.05262593,0.01137511,-0.02856594,0.04322095,0.07315397,0.00661366,-0.00442181,0.01459008,-0.01993065,0.03815486,-0.02849686,0.01218141,0.03856218,-0.03841837,0.10334553,-0.03247324,0.04202637,0.00342361,0.0470633,0.04991325,0.05375663,-0.11144558,0.05941356,0.00858164,-0.08213826,0.01306659,0.01701677,-0.03425976,0.0313117,0.02860206,0.00710592,-0.07204447,-0.0370579,-0.0599829,-0.08004823,-0.03416248,-0.05580078,0.01432454,0.00651613,0.03833275,0.02419024,0.02754604,0.13517898,-0.04781728,-0.01772326,-0.03173038,0.02714014,0.00728576,0.01611411,0.01446978,0.011497,0.00034112,0.03895826,-0.01890513,-0.02446451,0.00982509,0.04693806,-0.00355224,-0.05931758,0.1446476,0.0198487,0.04884404,0.0081
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"smart_blocks:20-我的收藏夹/21-浏览器收藏/开发网站/加解密/tracelesstlf-encryption 一个简单的流加密算法-TLF，可以用在对加密要求不高的地方，有一些场景是可以使用的。R4C的方案固然是更好的，但是实际使用起来会比较复杂一些。这个加密对实时流解.md#traceless/tlf-encryption: 一个简单的流加密算法-TLF，可以用在对加密要求不高的地方，有一些场景是可以使用的。R4C的方案固然是更好的，但是实际使用起来会比较复杂一些。这个加密对实时流解密比较方便一些。#{1}": {"path":null,"embeddings":{"TaylorAI/bge-micro-v2":{"vec":[-0.0598424,-0.00600122,-0.02847711,-0.04552413,0.00944773,-0.0301855,-0.01892428,0.02120523,0.03468288,-0.01652693,0.04510342,-0.08776449,0.04774731,0.008195,0.04256866,0.04528159,0.06538083,-0.01608999,-0.0559712,-0.04458329,0.09734232,-0.07133272,0.01320048,-0.05140983,0.08457876,0.04885564,-0.04002436,-0.04613823,-0.01578096,-0.17345929,0.00503837,-0.04310405,-0.03544995,0.06860656,0.01116623,-0.04037294,-0.03815978,-0.02460151,-0.05484254,-0.01947138,-0.01721742,0.04703487,0.00430982,0.00777412,-0.02458047,-0.0855002,-0.00668831,-0.04928742,-0.01661245,0.02289761,-0.05733602,0.03871162,-0.00979862,0.05876897,-0.06740843,-0.0242029,0.06777386,0.04043595,0.06217787,-0.04349266,0.11627208,0.03866249,-0.16130976,0.04744326,0.06010714,0.04246034,-0.02184375,0.0097303,0.06254182,0.05307076,-0.03658647,0.05207989,-0.02290296,0.03382296,0.01696403,-0.02092597,-0.02878322,-0.00252853,-0.05193169,-0.04628105,-0.01126304,0.00212592,0.03961089,0.05025154,-0.07695366,-0.0351264,-0.06051277,-0.02706806,0.0017687,-0.01717485,0.02277588,-0.0583173,0.01096399,0.02903693,-0.03475663,-0.04899212,0.02465192,0.01619265,-0.06352969,0.12093332,-0.05102405,0.00722821,-0.04858434,0.02498918,0.02532197,-0.00905512,-0.01974791,-0.06938376,-0.01179516,0.02018194,0.00020911,-0.0387638,0.04667298,-0.04930419,-0.00923838,0.046602,0.03465863,0.02169423,-0.05633863,0.04531069,-0.00824062,-0.00343047,0.04662887,-0.06548263,-0.0004968,-0.00936257,0.02504012,0.06488951,0.05966592,0.07857183,-0.00296732,-0.02922568,-0.00081099,0.02079106,0.01112693,-0.00781365,-0.04912826,-0.00273794,-0.01899121,-0.07104222,-0.02493029,-0.06858119,0.02020639,-0.07496618,-0.02631671,0.08864956,-0.04948308,-0.02756027,-0.05839206,-0.05437458,0.06191509,0.04221119,0.02068071,-0.03944866,0.01509268,-0.01470336,0.08717247,0.09034528,-0.02712722,-0.01467416,0.00849956,-0.0208198,-0.01498293,0.11248887,0.01655551,-0.06335975,0.01105276,0.04316089,-0.00884542,-0.0473117,0.00873449,-0.06645669,-0.02638553,-0.04109544,0.01511852,0.00650533,-0.01605552,-0.06533678,-0.04206266,0.05923554,-0.00070922,-0.0129985,-0.06832961,0.0324044,-0.03380318,-0.00016393,0.01841266,-0.02995451,0.01513174,-0.02542362,-0.09832314,0.05759445,0.0133967,-0.0025947,-0.01415341,-0.00681122,0.01445348,-0.05098018,0.02083718,0.00202615,0.12167983,-0.00363666,-0.0405836,0.03953666,-0.03420493,-0.00449544,0.05795794,-0.06352779,0.00574346,0.10872386,0.03767566,0.05149314,-0.01772347,0.00679975,0.00829635,0.02135166,0.00570708,0.02517576,-0.04227017,0.00744287,0.01083097,-0.02490315,-0.10560565,-0.23391598,-0.02776978,0.01212287,-0.0280396,0.04801069,-0.11650811,0.02027611,0.05541641,0.02471208,0.07726778,0.13957322,0.08363937,-0.05803399,0.01188264,-0.04623501,0.03344441,0.07027431,0.01652877,-0.02334889,0.0084535,-0.01432967,0.02851512,-0.0178467,0.01669517,0.04186669,-0.01306531,0.10177321,-0.03745355,0.03974357,-0.00858133,0.0567727,0.03810213,0.03592807,-0.11394059,0.05477032,0.00441735,-0.05807447,0.0220217,0.02608879,-0.03840764,0.02220601,0.03063866,-0.01244148,-0.07075422,-0.04954797,-0.04343604,-0.08046762,-0.0315284,-0.06024366,0.01601171,0.00101577,0.00988832,0.02240753,0.01938111,0.11413429,-0.05671227,-0.02017351,-0.05124766,0.02561312,0.00944749,0.0087113,0.01798188,0.0049086,0.00643482,0.03955527,-0.0259924,-0.01775217,0.01916262,0.04781622,0.01322018,-0.06021864,0.15849574,0.02833748,0.04283062,-0.00793293,0.02501249,-0.02667162,-0.0
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