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魔兽世界《暗影国度》9.05火法必备WA推荐(有字符串)

HI,我是来自五区无尽之海部落《比奇堡》公会的一位小火法“章鱼哥的邻居”。

你看你也行的女兽人一枚

章鱼哥在经历了9.0~9.05的洗礼,一直坚持在火法的道路上,也积累了一些好用的火法必备WA,今天推荐给大家。想要整合包的小伙伴可以关注章鱼哥,留言索要WA整合包。

1、火法整体技能监控WA整合

不进入战斗状态半透明显示

进入战斗状态激活显示

此WA将火法的常用技能,包括:闪现、镜像、操控时间、法术反制、冰箱、烈焰护体、烈焰风暴(公cd计时)、变换异能、能量符文、燃烧、龙息技能进行了整合监控。

燃烧状态下,熔岩瀑流层数+燃烧、能量符文持续时间监控显示

同时,在开启燃烧后,能很方便地监控燃烧期间,熔岩瀑流层数,燃烧倒数时间,法阵倒数时间等关键buff。

WA字符串如下:

!WA:2!TR1E4Tv559Cq4gqLNsSjXyc3ucGFSdGXsoXKqjKk5ih7eFvwjXMLvRZr6yFoXYhD4CoYX2BqbtaCknKodKqPzLvvU1oyaMlJcLbZ9zSYZknV1TJP19xlf7GxP7I3wVSU2U33VVZr6izzOjJ)yBDkpX6OVZ35972VF)EVijSNkmJ0qDbQlqfdxrIksm5LoRKy8HsyKsVPujtzStpE80LN6RBtNukLrczJq23uFvHsQo(4Igj8fnvQKwQ6ZkM2sjLrN6wQP0m9kX7Vsg(7HtmOSE59ClPfnK91C6Kj9Txfvl5mgYdIDp6y6Yrg0ivAD7U3J64YLLXkv8rKnmXouLq)p408BXNwcccEIygxmPShJX6CGbmLTemeJZg7gJyAjAy5nKQMQLxPbW3mv8oHLH6GdIMBTvByF5DNjHSu6bgGgEJwc3wxnV72czrZfX0gIbMWuxozYwty69KMPLKhrwZQhS3QJoD)nfSNO93t0GrIM7wDziJ3kspDfUT2cLghzj9KIJjBeHDxPwKftAPertCyztVtLwZEk4DArT442wxPuXo1u4oIgoYm8fkFvDUgJAV8MsutDyrAf2iuEZqvH0sPjpJSOPCpwgYAdAPSYztGZBQh9tRcdt54P0syob1hAncBi0WIQA4ZcBaU6vcxdCTqD4LxqXTSE1esZ)8p4CV8KHsMsmXEKSWnAnRkJmCA8O2RX44iJ7lNvK4jfnnReAWBiCVko)c8OJUy6bmW1ko1eTe9SiFv2m1entK6PPiHd3XI4Iw2qtm5E4hZ9zFg3QgUG9mLPCYbyBmzc1z0OD2EBHBoAgC)ocd0GymC5nG6GEZqltvoUBAvTbszW3NQCAgMIV)flqA1etVt9wAV92BAZJSPwQi(pyY(KsBkB0)yczurB0tQ0gXLVKvWBCubOgHPtOAsNJrLh1sVIt94V6CFJBh3zw4HEX37ZDNZ9fFb48B7JbxfuTUpxDSF(mOF9(Tuhw2(tctBslE82PnKJfIgVySrT)4oenploKSSEqAR0kcTcuGTcvpHKOnO3dc6riRPOfDmlRmHrkl2cvi0aP0S0xvZgQJ7R70IjOnDFrJoJPUOXq81FFcG)JAWpid4fcuTKPQ2GjLVa8Sc2u1WEd1EWDegAOsO3yzWnG(5Dn2u01SZ5yWgpl2DINAyjrRyqJ05mC90Fx0IVW2RHOE7PsiRV6MAly7DfTZqTfSPDfC7BV1OTUNWzyeZG0WkmRPIyIuhOx(SZJ(QqlhmX(tBAjNqor7QAkW5gIS6us48ibz0iHAlChBFkZKIAw0NLATJEAD7HnSh7jCKKcnEQudlecfKsfdops7iIysDfrpWNYBgKKkNyVQjSuo45PVksSJajAj4ZJYWRTsQQH0VDhTTw7iS7TWEfIWpRAzBN4rOxF5w2279ZOx)8w22p(wzV8yVU6J)ixYk0xD(tSq5gnLzJJYMy)065aQ6YX0xvCCLNAycFSB9eyFH1nJtxiXtf32P5uOUj3oWQVSQH1m5fod7Gr00IOxXmSLUK87VX697FchDH17pWSdkJRo149OK6aDQDst2BnzpsWLcx2uSNTdeSkavcxi78hzXXhkgu1u8J(KPguVCQ9cSvmJ0AmXUieSpbCXZARtU7MAkCp9mRbkb2tEBVUmnXmMV2sn40KXSNZXMWzzeIUy2C3IEmfyTEpjRfgxD3OoBm4YbFtqTrQUXYK)oGp4k8cxPxCdAauH7Iwe7u4rrVe9yps0tolYnJRiBYxdZY3pAx1KyhZq(byJTAcZ1Y3m3iTPGgvVCYDZiYr5c5eE8PwH(fxsza(fWeWNSpOwM6nQ1ssUokWx3KviXGwr8W2VzE2u4nf0d)9D4bQss3qgrv0ZiX6ZODD2(RZ)M4Fym(hG9lqgUIXeQa1WU6vof7MmFS6PtAkdpueeJoKSet(qwGB(qE49R50AX1NFa8VeGPgDJudIJP514JXD71(9(W3PE3R979vRxF4RKPWp4tKi4(2QVCpSVn4la(FCpqPoD1A9DT(QX(AFxNVa8h1qgX2A2JIVR2xn1W7dEoudZG1In6V2RlqTOLQHp4OH8xBTotPFZEO(4pKxutXl55RWtc9RE51Xtmg69wnE)wk4AsbjmJbHqFqy0q9Jhd1x3g9pnN77oefs9qb2Mxjfz1bvS6odRLCXw5jYbiPOUpjR5qokDbqfZIvefhvzcsMNInQ7zz9pIJ(pxLY25IEnTsUvhqmU8(AczqiqoKOX(2DRxB(pDT9qpW0ShRf1ejK1I0r49eoYjjrtY7zCMezOG4hLgw1WiLHYI5fl5ZFwGHf9NjWvatG)GvYxQm7SgOmVtXC2zQI64rADhTe1EWzBlBDXbYjPLFVr)kw(ddKiexLIzWdSkKrHhLEHkSpngJFAOxEbBs0(AOG7oANg0wQ6aJfIINqV88JSZ(xJ53)cMibgvX(2RS4qbjTG91vQdiBWUSD5eQI7J3k93gWOMM99UZxBH75iN6PE85p694FIdGrZqEeNyV2xaB(cGTa3GE553kThu4BQVAh9EQPTRAkIo(sOyOQrbbJkFBF627UT2e7OM9koS(0PmurPw2ktVIw6msR3CNDenyB93Ah4XypHHG3q1rqDT4dTN1NsF9BDRsSpyUHQJmIyY0YctmIOHkneHijVMH14bayC4eR3)MOh4g3kSMYaqIIpg1YpHGrCfKrjJHpdNi2eiZgdW0AmO7QH3UrwxHzHt4b(ERTs47706LScaMqvJ70aTbExVt4SkvWRgM0ZmvMSpOzbyhy3BHc6cAf2PtGvWUeG2IbThd6GHjGovG)c4nHUyrdbDRareGEGOWUP4BG9qr2a7nxqnqV8iAG(Ib3mfad87uqClW(GFx4tla97bIHbCaIGeehsaYWaWGGIaOAhbbSFk6byOdEEqYYGHbniLaO)bgjaCl4cYqbWaN(ZGxhsRaJKZDnCGyWOs(3s9n4FlW4OBz43d(9jVVKlj4wfGph(wvWNH5S5IH7eU3yWDGoqwhCxWHuG7bMeU7yOVq4ZgdoOaC7XGBlwHo7GdhJ9W3hCe4ZVw4pGz4R0lm1tTc4(D7kQOKbqxrWFe8LzF(r8ahZd8fHJZUZd4bE48EyoQhBhmFjb0epe(V)qYmFb7E8GklnTciZyW7Oqit4TTrLW3zdvtada(UoqqB0hbeZHRiKdH7YdTwEah8xBJ0G)k4Bdpgj(cpE3i7z)wXRxz40b24UIqKq4RcFn4pwbEQUHxLdTSG1vmhoafbo8ckWFc8mWlDWkHzGVj8NUg4LHVo8kBfEnUsd8n8a)L4n4krvWeJkZl8gWFo8ILuLeEw45GNGpQOKWt2n80cW0WZdVLc8TuGhL58a(k2wpKx4V50LJqt7)3fhb39zBbfrsI4pq9BmaHWjgccXjqnsqq8oXpyChIzqKeIwqmK7MrkoKInbXHwrCkKhvihHUroocp0ULYrwA4AmoIdyNZtiwqD29Yfr5bvYfjgJkreLVeXFic1scaH4i45TZrVnsGqFCymPKGWLLGDrudHPq4ocwtZ1ixgSNn8fXSigfbXU8FMdqtOzc(IW9IPen4c4s0ie5seJ3I5GQwRE3r4RFZBQ9EySVpeQEXEBoZP6OSYVfqrOd)str2417MIqaEck74ebPle9GG6UCIGuKC(qiMdJkH0QLqrotDJG4B0nWrlWjcrBCroEKs7fHSId56)r4gjpbC7t314j2ZERV5AhApXlYpcsfkHpKns8rKvISTI8GGuqhchYdl2dInZMOH2moIHVmKAUxeI1Jkbix8XwgVixbJFOZT35)uRKroqOfofrYXQ)0eQAnry57dQSmTfLmtzirrpJ4RmuWIbtEaXXmZHYq8svryzjZahiGz8k8JanvyD6xKtLf81LtUG1WY(UwenjfWFGg3udWbNAHJ91M7Uo08h)zGdXqKig(IHlXoSMBTkp30tdxzLi6(hItV3eHdVlZ8ma)pKnOhCM5F4Jn3R9CV7x)Ex4ypjzfAMrZJ1bZXnYzF0x22iur92plb3rKdiQngdmJazBnbumyBByYk1RGQRu)fuMkb9lI1OLResmDsVFdtL7ER)Qm1xLRhpFgHNK3QtLnHxx)cyTuyExWZViFiYvSQ7ywEjuTRRKWmS7BNjduDgEU8uMdH6OZocdvzyMwYIv1sU9zpT9Y4gxrgwJ5R84u2RinRfBh)JPSHHOLVAK1QTGTbNrFwwBoP3aVjF2mcMqgMqrm7LURkBpnVaUS8(kyczBWgMn34tP3E5ZwW0vi)DzLXwBYQGFKa8Jx)vPd)JCq()eQm(pJkJ)l3bSOa8VINI)BW)U(vUKdl9(tG5noSyY8jqscp)e4NXze)C4)a(LXGFHGETL4zlDzaeG)t4nZItcn4xbvxceItbGK6i9WsYg6RB5mD(KAZkiC5zfolb9lTe9LL3iRe)HIlRMeE8GKpRavwS3kmbRrK1e1SQe2Bz2oQY79c74kX(TYy8shA31yO3R2jTc3krB2dtOZLFmuJBX5F5V679yV(Cp7dGS3tDFpl5xd9U9KbHVvmuLm6nhj6Orhpu7d2g8wXiXVA235ab3)suyrxnVnx0MsX0atX0wt)evup89qr(tugQmVd8Df8DtuMwVceBxxG6Cd64MfnY0mLODZYEMzFYcESTaP8BYFpRaUczdmnC3enC(biRW5Z9rWEcPKQAdH5GNZxrMu5lvk50yNfz7UxYyKBXrwghc7bZ2Dd8oXwg3NF4Fjn2s50U6YPJd)9Okjjc6itYIDMjNsAOKaoPJIc4OR95zsLOY7bHtzldFYyUKHrD9pmn4tDhV4cp9eZDKhAUxldzcu09v)mUvHzXxZmcSa8puADxIA)(4kfP3MFG0BgV9NEJRWn39xWiJef(xb)AgN0HjLvyfn8BOUrwHZUyrbo9(xGwPmxJq1zf(yzfwzwHZXt(H5CZk4DzPKzf(4vs8ULLmMv484uqezy7LMtQkK8nd91Z9Oh3M5T9P7yNjUf9eB563zKOoS1sN5YsAzPzGG8yoHf5XFG8voKUEB6AjPQCgqJ2DV8tlcPdLXfHmRqf5jJzfUGZasOl2UdjmNAhlhi38QV956Ix5opPv)jicwLmc2j5uaKnX)AmWiKgmEIy5InczkelIrXq6fYyi2asNoO0cp4XN7opInB7oSjRexIIy5CYwNdzjpr5m(u9)RXUgXM9W5y5jqeDQGu24unBkfQnwsNzzfQczr1Q2N1UIhzx9AvBExzC6Gnxezfb3qjPeoyCoMmxAge4cf3CavBhbvV)hF5avAlbuHyHScxilg4J5NqpeA62zIXm809Ybte(cLFVZjp1bF25)Sp67(A3FryksQVa9xCKMNnqUeYjlXfYN7zMAU72LLONJMoOPythg88AYK3w)KcSL7yVDwbhInPjJGXQ)vEokCFU5ZfK)XELF7X3Wza6fbsi6D)C0lIlDHELS3k)uSq14ol2(0kJS5o6C0D15ghP1FtrWxd2Y67mc8DUb3Wz3YT41RSuW8CbYC6lnvuoPT8gjF9F9BSIviuuinFcEin3hIpimItLazrZqWBQyf2bSqyWdZXZi6kF8mSaDKAiG)gASbga9241)BjQS5HCvD6b5YJk0VSLlkF7FpiCeZyfK8aIzGjSHmxfbzqS07m7GjtDGMnKVL0YAXzF3wb2uiQnfkY9DK0o9YytqTX(AE7ctBmzg6JTX(HbTMPPRDsEBQbDEKD2Y2(74VAzBl83sV(b4KNL6i1h2t1R7NQh2V4k2ekQIA8H0We6lJDN2uXRlNnMHy)gEIbpEFUkLw5UJeYBH1rlp63LwnREjLuREM39LV)5F(NCHN(bWGGqCUL1yJRny33SF5gzQ29vqUlK8TcvnqkAMnKlsa476uGOLwui3L)HhltgEch0QJ4HlnKDj63yvRANgXT7a3F)sHZFjgA(ZV2q(34M2cR2BRdwpb5rq8H5yCNIA7QK1UJq4JIVvhj(Vjf4HWU6(R2jwjQjx3oFpl(hGoz56A45BJlje4cL0kknZNS7IpSN7XES5p(Zm)x4vM)UEc8WULg9FGeDVZ6JS5u50cvSpKPCmfGGSQbxKp3csqAPbYTMIcKZDSB21IkxnTSJDJIahNyZDKdp3KVKT(cDEWClB7t7fURpIdGBTt6d1JkzrbeLKmKhrL(DHX8IXQEWfxIoIXMY(HcPWDqTunTswFI8MV)HfhT8c8iEoE0x7YmquGW5Cz(tlZwFSKAJS5LIOMMCsfhxQm)25DPQ7BzEof1eY9pUSrkLswZhj1b7xJv7f720lpyU1dVOmMCN0L9rIt6nxAN0h6(N)OpD(YKWCspWWn1R6TOSrLDPwKt6By5dQSKUVRoxlSVqKyUOaO5kmQtx(t)ab(2F)y2XgYG2iW)(p8833tm)XEPfo2l4kmthsclyUY28Clh0)0VshoqFUJXBO8C47ScBzzrXm45Iyx2ScZ78pcV8twcSywHBuHxYphWMlVXBfn)nLvyBF0aoWZKsuvTcrjZI7UN6vEr(UB9iaztb6B3(hQZXgqV284gEojukQ2aM)BIwkijfhptLi5x(eVej)EfE5PPCop3TXqm2PPqyIdhZjlfB8dp5I5EUJSWdF8pS0u()rpLo()IZEnC(y)zvF1)o2YwAvRTgAP3Myif0h4zIMYYLulxDPIr((9(Fb

2、灼烧斩杀提醒WA

在对战目标生命低于30%时触发

火法斩杀天赋描述

此WA会在对战目标进入30%斩杀线时,自动在目标姓名版左侧展示灼烧图标,并播放提醒声音,方便选取斩杀灼烧必爆目标,偷取小括号的操作。

WA字符串如下:

!WA:2!1EXsVTXX5UHTqOegfsmTgo1xwOGii1ktlrzRgyuLwUslLucFLLuwYOQGA2DhYDSwU72zMvpCHpy20wLw0hqbT)a4LCObOa6CpPFbdek6pGCjx6jd079BMLKsuKY2bODbe1mFZ37571Ovit7mUzCpzHUeNWGAHXuhSg9OknBYW8)9sDDIz8W21XhXps7lAgh4WjHbZoxAD4J0uhftrnWbhKLXrCSokW9AGYwfXyBfq46CpCGIm5NFOdYxNIBbCtFLlPjbY1qlYxY7v0xTrzuBCv5USRJ5d2uiKkLWS3GKNBa7afoHxdPlYVe5(Ov9XiAEF)QHKaoB25gho1WC1XZoDrZc1NE(ewoVE)Td0cWF2K0k7rHnBok0JbOJN9EHhEfbJ9z4XH2gex8vrlWnD))l)lDA6Xj3HANHcC8cPkD2EvZY1nTUWjm03n8WGAhsIW7fn5L3YBf5cwJf(aCa)8(Oz62c7zidq2RdNsA1ctzLNH2B5jt21fBh3Sz9JJW0nmlwTWwfn4Wg7e((LSyBfdRbiro6SgRMVw9g1QN3QonoqDIbkMhEwc6nKKEM6omwPnDCbNNmUlZII0NVQhIRxcZyOw4bCUkfdC2QwvZIfnIHlDB4w5ymn5uw0hPxoFjZgvlMVUzJTkVz9g5xBnZ1gbQLzPkpgGVALsg5R3OyL1By(yWNbNwyZIGRdoRdlc77VPllTiZrFR)ZGKcKVVsPzZRRK68s9yE9SzZoN8QPFkJ6m9vwrF6XQstpCWjqq8izpxMA0kM4czgYW813AZ1MvI7C6J(neP37EruzaCaKanCm4at4Njz8ph48Vm91zLJhkOfwkvongp)iNZGay4WMiiYD0thuoyfLDnkcT8VjYF(ynORg5)M5M7Dh))ah9q4jRgEn33i8Am(4Sd7pFTOFfh40bHb4PhII(EHB0ZO(PzivNamyX5FWc6UHxRCBSI1qSHQW20zZsUXOjWML6I5reguUmEUrTyad9zL4Sbg5Z9aCU)L7kHocamN(pwFHSlTGQ7XqOQ)bGooEVy)y445EfES4Xhb)MefFLizfc3qQ04cRhpZ6fxpEP98H56if9))HzLKH9MBxjrBJt3VoXdfeEDt51AgFTQV8ku)xJQ)8XudzaFgkLHI5X0GlZoLnyTC8Wo7BN0FYsMSWsFrlCaMsCKDWReCot9V8qVHdW97S5bDTT4K2y3tJd61(m9zUe2tvnroaNdCprtHuRRNCEPqx8x8nEjeSJPbi)hd9EHUnp5L7JXr5HwroClzZrVtrbK2Q2KlBbEykVGykdPHFr)2NQgRugg6J7YohJy4ACkoOf3BIoYDY(3ICgTrKaGwroXsIhiE4eILf5SBscimVRdgA8ZqCj7XErtb2Hd4SWnOHCLa1OhKOTF7UqJAl1KlShDYBhLHdJA0G5HGPl2P3CkNQGj)z63ZjAYRGXQH(H0puttl1xMaf73unoJr(TQxj6TvaLdqinFNTjUCpJ8W2xQoaMla7Qa(Ilsgf6j9K45QZFkC1qAESyIUk1glNcYOCLYMIPOGwlXPRcrhLAKc(su1MHb8Ojlqjpt)JJrUGtaPxV(q2wFjDHc2HHu3TPOOoB3BrIcCaHrS9bhyInFLX1IMAZYLnTAyuPE9kLS2C9nQFXarxJ8m870ZI2zi5ipvnlwLTQxCZYMNCxXkAIpW49YLnksFGBgWJcESga0gYyYE71e)eLVw8tf5fgIvfR9cHPMOGyIO3DeAxQpTruSdrEvNk6UJvcjlfZngfyPRRatj2CmYk3OYs8HQ7dXhjkg9dVz(6EmKHsCAW9OyiT039yrjTXqqUxbbLfvev3t8XIjeBjE8ymYLUIrkQ9oI6AI1fB8VUqw4Vaf)lIXbohx9BUq2CpmjYsEWzYF6F71rUrEXDHDmNhgubYEGPy7kbxuLN(9u43pQ6u5MvhevEEmdVEFiEgYd3tj96EeN9dGjMtPOOg0KhNSSibapLsagqmjM6z7HjT84y7KKH9m8drUhCkW6go(qf19ulLdTd4YbgfWVTv7yFojn9zqXgyS43YsH5m2msqlFSrP8RBk4PnK1QUTAbe5kx0zqDIo9FPHNDBcLcQF0Kjr2fOqTv1pr6BJr7Nhk2WEu5(tNORYt0ZRWTBYBJuLXULSQQ8naBcv7UZBL5ZofsXcCLftTmkAwETlGcganvIKka7h8xftzhe32gtPGbUgM54LRn6Op5wgmoosETTWdTouwfjvU2Kandzn)o7CVKRIC7Jp2q(qpWh2ebEdnGFIFT434j(TFYTeNKqV4ttj(DAI)GH8XFIFFNN0JAXFsJIuVHGTSyXzezMoD6tDdBK00aE4f0flbQ4Z8eVFA7K3qoJ4pRj(JAIB7rLXHXuC0pAtzxIMih8U5DDb(T7aF2UvdpetvllHDjODtGk)9Hl9YR4SLUp7ARAzAwo672)ErwuCncdborxpBgUnC)BTywySTU8qNEv5VJwJ)Y0ex7V6f)JV6x95N1uYnOdduxmLfYpYdLs8PyJNfg2wlhml7zuJ8pz74c7C4tNfMLtYeSxUyQF0D948i2JU)9pe1kmlj8(88l((ULdC26(pW6YYWDLnYik)23FgX7US47KQZbikrQLgY2VwhG8JXPOjJuir6VTCxwyCGRQvOrvi(WsTp6rFn8C1KuW21bXZLnSvRls4OuibyF7siiIH2jIgcvG5hl(7NrcsQlak6TJUdPvqif3lUZu(kftzepKznOVMyImmRLYMlBUmh8p35)(d

3、操控时间通报WA

操控时间开始及结束状态队伍通报

此WA可以方便各位法师,在开启操控时间的同时,将当前生命值以及在操控时间结束后回复的生命值通报在队伍中,方便与治疗职业的沟通。

WA字符串如下:

!WA:2!TRvFWrX55DeximEBTdCgW4pI96RvyDyXH0Xh1rdFeDcjqy0hzVdWypU3T7TV3TRz1UR3DVtsmz6G1eJLDcySad2XKY0R4ysITHi7y3ydoPkZ0P)5ZOMPtsBtDRk3ju)NodZ0mt)l3N3339(sshqt8F14BgP7929zF(695JF7(SnDGGUsBks0irdouq1GQJ)qZOy5OsCIjN(WQow22RiMH(roISJQyclldpD7PLZ5Pz5mGTNULPRGZOdKjJlXBp)C1NDf78Z(SpBszZ045h0s30tPRU7pr3stY5zxwgwo7TPMAkq0Cogl1ronJfBvY1t2XtiMUPUNGsg8lxnHX8C0ZML44EFRZXF5XkOsuYLjtIrTjo7P79nyp7FFX8WFijNZro6yU2edJEvDfMXnNcjpX0losT(itMSRoJNiz8eDkLiwouik2gYJsCQq2GoeKmP4d29(2Ne7ik7HiB4PjzkpeXvyICM(QGWnqRI4ykBCau1qT)qtiBQpKm1q2k8h1demMPLjzkISljUNdXmRN2YNwfvpkfjPkRJljTLPQ7yuAOMc8WXgsw3eVw4HHqlh(tG)uOzC5Do)JetL4M2(PlDQJx6eVvPZ(bZD23V4p7hn7Z)wx)V6OZ9cV8SVXRC936yZD0VBPx6nF0zh7Nw8f(4IV8zk9bJlu8eN)Ax9Cx)OpFhpbXqx4A)S3T0P)PDCyzhdv5Hn)6fFHlv8YN(6N8ILoZLkG(ejsw2wBmdlz1dO4jBGEK1inuoC7xW5iO9Ho5LkL2q21DnqRcXqhFA(c9JqOlMwXp8HVLhiqGbd0wKTi5Mg5vafE4Gwb(3DRMLyVY4pBozhIyp5mmepOMUhPGdtnOEiPSow5S9jpokJLnfFnp07ok4zLopF)yTnL8vdPRAhSwVuPx99lEYXNmJdUBI7kYEYbUbpkTh6HOIqjExsD3D)rZPRoz08es2EEs58UQ(rU9AIIjGcUVLrpRGZiLd5L)fJUe8tb6gQopFysDZmwo8icHjCjgzyzcWYdME9JhUGosACRCoPjbGV0lDaNCUK(rvifeurJitt88iJG5nmj5yA1hXjlrtAyDvpTa5HGsPPE0OhMmQDqlBVK2wUOGZtOo6CoWJyVTR)TFt02N9J(jCBF2p(uL(EN)Ax57w8n(llEHJp7PpFXx5Qfp6v(VUY3P44VEPx7tM9cF01V0BoxHZD9xCs0wZiJBZ7TPa7zNxyv0pTfGQJ7cJ8sfJMnmjNYwk9o)1HH(OQe0pmaxzmjzLV9uMsh)8fVWp(MRmG0EdG1kG4PGeLL61F)Z7lvfpRSzniWattLC6Co8mwuO7S0RDPIN87Z5wXN)dV2vpfpbbLcQpfF(3BUZ(oO4k(Y)qFjYtFE9pP44hR0LoniLIjtmgAbSWx242kjThmGtAnzttIbextjVSroI7ENU4BuyUx787O4LFz8lf(xtx8cVvXZ8s7y2x)QfFNZQW)cKwoKykE(6CfEL5EUtb9nyG2JSLVpUnRBANZJQg8dHM1JWPS0zEHsN7TBP4lE8Wp6iJ08Jw)rp5jcddmt6CUEwdrdKmiz8aj72k(Htw8khT4jVuTPfO)GVHWTTIx(y(HjJFz06x5cKNIbRE2QNGvjWq3KOnbgBSp2r1qTgi1QXqguYRM60V0hwAYpE2ZC2sV3fl9TWTHNdoSgmWnQQMyXvnp4zw9cfl1Gm0ogA)P4BRfp3fR1g4gaDn7YqPn3rFXsF7FWmh9CvIUW1ud7CxCEex8QNcnRkKH6)tddOqmvDi2GuaizhrrbgfL7evjIgzmfNrCUGHef4wsc0sgjqlzYzYAS1sybr8JEgrtlpXdsKpCNyFa3i7M41zAAAsc)oCTqBFLKyMpIUA4NQ9Nw0tJyk6q8Y5ykIQdJnS)zyHfqftlUDXkxIFnPAoll5Rpl1APcL5EiJWZlBjDKfw5iCTCiNd25YRvrplS2pYM9J9m5PxTeI36mu4wR5O9jps1tuvBrlVIc4AkB7Qz5FbIBF7IM6gmdLrk9tdPTScXOSo)XnrcYMQn8CBRmhRxbUD9C1xMl8IQwCkRuwQEb5V16IX9MzJWBx0sOVz6MDBP52I0wMMBoSyZUFtNqTwvNAvSLgyoBKTnfE9T3wBTwvVLvuCY3FUHuQlaR(RmC4kQe3imCj3gkPVo(7G(v1xH)blRj4ldlF60iUsvRHnJpSUnjL9kQMmTFBvzpeYh7l4oSVxnppB3o24ghwoRveDRn68NTHnTHVXw38Mabe91V1((r0AUYzjj5QBs1KoOkmusAJljtezNZmLPGlf72IJAsxAYE9XpElHQTFvLYMOLgAueDzOWtvMbuSCXoeIy0UT5j12JuxQrsvsAeIOrsBhCbfKsa77zbkkFb8WfuTs6FsTfXEOBRK86O)qZU55D2UMNClZshKLznSgwtHB0JSSpLNOZGvf3dzggX3gUZSHni2whU6yFvrX27WgrLpQOy0oCK1vfWG6ED71ucx3s4QXZ1XJOc0qiFk3n9mnK02PHaccCfr3ery5HqYiTIR5ROOYq6OCQ8jXkQ(vO4TDXthAqPE7priQ2vl7rvPQCRTkbVCzKkmavK5veOkRL6S3DfQsIXnNlrBixgeVRJdfQ2uSBoN2ud5eny72vF2CJ1hUdRsIiNv178A)3FNh3S)dsVxBFo49Qrm)(49yS5ZdV3)NuOBF3hTeaTBz1RLVpXAFtHnvTYqvEUq(vtPeSFvfCdZR3vZQn3CiXwByFQgaOXVZvf2Vq0xrQhWDKivuIirAmPmqVlW893YyqazwRnAdETGCmSqL(ZZVPfE2w9zsyQZW(HUjnosoK8iRCbnpAVbnpSxZcyf7wqtnb2vHBmPC8jzPWF86GXhjWABmuoe1NGWIcsbpzfKZS7LQo4ZSJCRag7YECp04IqLVw(1TdrCl0)t9XM8ZVD)V3yn0vHKQCnwDjaZJ13w8DryAFHeNxcATm(wZ1fHLpEOfIjDXHZHq5IMPzxeEdJLT6ZKWI8uQnSbAGQpip0jNvpTq5nPgbrUgqX0qB(LwNvW3SCAvmBRIku49mAWB8PmCYNkA1LB6PRIifP1rCB06M0YdoI7GwRLV0YrSQNilsy2QeMTkHzRNqQ0vQsOsvcvQNWf371tpn3w0rk)h6eDwF0TSf0U4FPq)QEiVhpfCNhaoH9QNhkt(nuI5oF50Fb0SVaA2xan7lGM9)NGMTi6e)XSj(xuNRUwmwHQBohLlrgQr7D(8BHEQBByHl2t56wGjSsR3fQXC1T159mg7iunGdRRj9Tcg48GcUGhxZnfsyDBQccWrNiEFy2lTkk8T0ODLURtSo4R8pcbH7(g5CjDpICAV48XPLcwbSs4(HhaUhyTW9c33uuxpBwB6QURxP92B7R12xtztBoA0nVvyvcWxvyckf8rNb7rdwnSMPrM2Bwtlh20o0GhuysvD3NHbLipbg3oO)t9H)ir3hfPHDNvWd6XnHBoSYA6t7HGjy4GxPCTpP1(SujV9sGh6q34WeIDN0Xw5jrNuJg0dSC4rSBzrgt2JVyJjZXFCt3neUJm(djkjD6xbM2)hwSre1K)GQ4yMzZ(0FaRjZR7QRyqsv(QjQOg2U4G6JqmGGt4MZFmzJFp2pmffws2)8bHBN0tFisnprPjQqsOMTTxb7xUAYQwdxDQRZWpA5rsfRZ9Nya77MDq5COZh9ePpiDqtX6e)5n4Ydvhv2bFUP5Jm7qd4BzSZ)m42MEMrHLxWXIwKL(y7I1)a93ne0bnbknfyeMU8Ka9v1mwMEf6Ee0cCDhwEu7hSr2i)xnzhSgBQSoyhUrxL6Oy8NE6KEAOa0SmuhDAgvdJ(0d6iBp2b9xmDfTHnw5b2FI91B)D77bRzu2t0B)93TuYedmi3WlV9vNE9e(6vvMsNwzyFpx5ZAFVlIwZxirvE1Xxf83Uyu5w5UYGlgQ50WpGTTc)q4hbVn8oW7(CWLAcUmgj)JHjXu53dEFMdh(jWha)nnbFe8XWvGRcFYuCBj2ajsmqFWuFv4x0e8ZtPOrO3r6tbR)VJowNKgK8edn4rPd0Dg2psAHEizplNq7y7WgwkJk2uGtndDjRMWHnTg2udISofxSiRbjwFDU7UroiX4qOT8yWgPm0Ev0RGqRZu71vO661UShRi0gLwyRXOJnfe5tyV(PKVUB9CZHUxJ9A1zvF8FRf6MoJ)UDCSCCtbD10uLFe00rrRb9Z9A7CsslhY7XFwIv)BEefxYqyoVu7rAlYJbBh2rSJyzneDQ2Bkgn5jf0r5rpVIABdKV9iTdBlGKSHTMCaOV98139o)VtTKLSe7vvwO0uMDP7kJrtyX2y5HSGgCa(SpFsnWCPWF(YGND5WG1pvwDtAniuDNovbvIRSh9Lma)5Uw)6KsRrsF4EGVsGqw2H222hlVSJoL)ZqgXwN)UiKad0Ky30xWTWgJzwI79ToyM9IY4)8FI(530uGXSDOB5EJAVcmzos0ivtLxh8Pvfa8Vb)7Wmb3e8FuMfV9dq)Sl0eUguCSYMAQXFey3nbFjbiFiSneFaaWiPGrXgm)sn2tXxaUtb6ZraBknU9)dV7Tsopp8oo3Uyxoe0iztTVLqXyhnuRSk)H8iUE(RR0NG)ke0QqO4K05CiDY6MWVSeKHWM5EKqHfe4SVJ4eVonmyz7U49ZuZr9qed4przsFQ)TtNgqAkWhdQKc1asPVPjuk9Xmi2aYyr8u6QnSjuy4UUlSJ8VfdLVhwYLSbwLeBQNJKI2qL2mESYVxjbBhU)cDv5DqG2KEm61q1Guo5mzVslWVM3CMZnfxlhfA)WuWP0GtFFWRYAZ)GcW5yDiHVhVN4)Qgewa(7XIchGxjaZ7HiSfS84YzOW0ywg8pKcBI(a(nrx0gNWDSumHdZTKKK67jchn(34jDH)5MG)LuWVUMCi)xFd(7VsPVZlo3PFxAshMjvtkeg5dXeGFJg8RyjI(fiWeFA(FnfiM3rUZfCKDjaLs5N3hm)V8j(Fp

4、灌注提醒WA

此WA可在牧师给予灌注时,以声音的形式予以提醒,并显示灌注倒数时间。提醒声音可以进行替换,章鱼哥现在用的是守望先锋天使的语音:你被强化了,快上!同时小队中会大喊:“我被强化了,快送!”

WA字符串如下:

!WA:2!1v13RXrrC8CEwuUcInQLQweBITu9HGgP51y24LEPC5UJ920KabUB2DNB3PDVzgNz2l5ciyoHAuci9a9jb19bPqfFi(IuAr4(hWLdX)akn10hKc5j9n)o7UxSATZdlF)(D(oF)5NVF3ClmE7XDh3DNjIiomADwOWbF6XgIcv(mrvUIWOYcIUvB1sIvLEVRCA(yWzpe1bUVgJqv2ZxSIvrZHomwGlBdA9niCCZbJyl66H9n0gVzpLG45HfYN7CImYVZq1LJnrHc003vgAJ7GPQ6HTAr2CVgZpxDRg1TMZ0YmrUDjmkq5BesjkBEaQlw0tYXbbl6klC0RRjWWRnRxRy5Y91gMIAJLVYGd(478Gp5Z)9T39()4nmtKvqekXvaQMrUyBWPwqSikvSCTfwUC)qAwmwGFcKJI0bBLYVeZf)9JDiK6ybffCziHGQ0AhEvmMphepokteu387JOK2Ak6mMsfsOwyagjX1vcm1t5)mXh3GYO4HUqmQ1QHUuiKyOu5k7PvvhpXtA0grOlepb8G4jJFJ4ZgFU4jTBrOeP))vmKisKsBqSFeurmXE6o4BTZP4JRWBQAi9rqxz10(zo(lNim5tlMaI2gYmI4j7F0DtCwo)5FKNpplGjUuUC5YF3uP4GwjybJ5w2Qk)fsecqiMo9DwH4cnT5a2dtDeztSBIWThMIJwllCgKC)vcLksRUXhlsWuqIybcnQuTsX4JlGusRtuIIojHrPz)LVwF(2sZEWFQp)vPz)Jpm5KVFwMrvMDrufH)Apw(YBOiTXzC5(xvPrHf)nFsVYTlaKionu(cS0ha85gMO1gmH7kceV3kzePzwhIKyhGBMvmFKHi(jwSsLIMnmQAzvDjZfVyjR)NEdpJWu7Cx(zEsHfxGDiAqz(HhvaQt2c)oz17rT))52eKF1LTkVyLI)2qVa2gliWFqiM60T2t)2tn9fsR96l2t)zKf6Pz0pEODOsXOv7GfWGzKwC5ey(lLO)OszFntk8jpCgadGxCKeFd9L(jE3YN4CvkwkZN8I6oOaCkzzci(ejoWakUyHVTpM45R22iGHCVSTcuLQoPz7WafPGylyed2p8uMobiP8KXRxWqpJMsa1enrKizmjzC7zf6HDyMzM4ZCnHlRraJXBkG1fsKhM)Q3FNRFq0n3)23A)D)Y7DRR9WBV7()8nFWhT9dV92rG2z61ShqlzHu3MdYeLmEBSgSvYm5cXR7aaDw7OeUgCKYNFHf1lvAHCWRRr9RV)p8P7FJVA97DNV5X959(Ppd85umpVHPwWXhrP4a7LqsWiXN)KXEWIxyxzH9i0uacKxfm3iz0J)IJ2qR907tKiaz66BIc4(O8rkMtN0fBNkxJVycIRD6MtXMzDY9AjGnNWYmKcL)WuC1cAr6QOD95nlwSInSkRfXRW0He39QFj8MMbNFMAQvfeQ24yFtNJGcgBXyTZfPx(rs)RtVrbOF)JwWeFSXLMV7utp10J35xx9Vp

5、能量符文距离监控

正常状态下能量符文buff显示

当远离能量符文法阵范围时予以提示

众所周知,能量符文(俗称法阵)并不只在动画展示区域才有效果,而是以能量符文为中心的一个8码的圆形区域(什么,你竟然不知道?那还不快拿小本本记下来,知识点,要考!)各位法神如何在走位的同时,围绕这8码的区域,不丢失DPS,这个WA就异常强大了。当远离法阵范围时,WA会显示“离开法阵范围”的提醒。

WA字符串如下:

!WA:2!LR5AWXrv2DC3mRwBgZc2YGwJn7YeTlgjVoE18qVOItknYJSminJDpJKLGqMP7z6z62EupnD3JELxyby0gYg8QnSll4fiAznMfZRzbdMexSL(sEuvsDIcvcvETjQIKSZh9hsvjv(qo3hZtnJKSjcm76QSM(19rFp)o)pN792cdwVLO397z)EQFK6tuFIP3)msMX7trpLT6J3WcYzmtOy6xk(jsyMXWyB(tRn5KsMjCfjtM02AgZlL1wnJzidBTm6wonNiuYKwk29(ZsElJTj8F5K0JJ3)iz00TL7oqWibeZXQZUZKoJ59lii4ykZmJf2qkUIdtP406PnrlBjtBN(101SDkNe)Xs15u2MAPsPyATR9yYp8uZMqroBYKrMWqXS3a9DKEgOp)24jIsznL8mLLHs60hoHLZfSYkRmQIUDy8P1gpx0U7kCKOHJ0LyerDPruSC6pl2wYgPLMqXuK(OY9QiL2wTqrpIPcwuXWhjqF9ntwDExWzU4zsNDeD2BGSPucTSwp(TmJLs6K0xBylIsP1sPdBXeFRifrywSkfvsrhY8NoJuIbLTLsJnrdIJKfhwDAozgDfSFFtIXtlzz1a0Kt)47sC2bAtQqoyEzUzHnu6WHJJ4OL93QPKU2is2kQIwXXk1XmSZXgRn4w6b2HFDSUNtrYsjSTj1oV55tGJwKNikzSZ0sjEg9ewtrEgYil42)isA6yzb3GNndEbFqR4H3ALxrMzAvNL9BGePum2E4hjRKPIREYMoTRJPQzRmRj9vNuZZLycC0xlEkZmzn4Lkm(6vNFRmM2ZizfxrpHMEQRIJJkM6sPhe7DyzhwmT2iA2BD2KyT2TMz80kXMkLPwcsL2O4bxaFbWbBD7EqIkJPSyxh8WdeMtEhwhjuhZXoHXR3SmwGKAPCoRDM4JYAJDke9zAulHF)d0tp5sAIqcoEjzl5ygsdDmTe2QB9Qm8UhYDjnTC4Ufdei4uzTu6J0bJ5jRwICdLQ54hvxujqw3(X30XMT3qIh(bdfmsx9jArWM6mhpVFZnVWpJ43mlXcOXCQYPPNmJjZe6eDwSPhjuF8x6oM(RnRg(KHZK1mUYDTj4lkaBg2Y8XrNZezgtp8yAgkXMl)Pe7HkSvedCc3Qt4l5eUTBDpW2olAfV95iomu3fTew7s2R326WRhy3WDbFf4Rc3Ht4oHDbnaFzyNoVk(2fyCCGnmZ7kgSDOE4UDASDI77Okryog9NjHY53e8Bm8vpHIIrxe81wK01vHgHTGoUws2eSd7s3Z9LCEM5iAg64Ga3ufLW65nvrJxqYGRlfDunln50kQ5FCf8ne6e2XmOdg7stVlJ6Tvg3oQLQeogmeBCwW4oPxK(h2GBul(bG7zkCVgVhuZRKIxu0Ab2vZ7K7VRbIeYyh0lIsIziwR4ugXFx4PxL1qAJRWaNtopdCgM3DMJE)JN1Ywl5e4Gd1iRebVO)GHcgW4RVIERr0ekXr)60rnmXdiaRaSdt89M8u83zwJWFNDml9AXZlw4ygE9PBF1(X)yPyIwdxnPO3CzfN3h3DzJJL3X5MHyZtpBmCG)yMsgtDm(bZxOHO60HgisFhgFP2wjncDqCMdhmyaXOrcDKQyEm4hihm7iYkMg)kv5jS1grP44HJITlrtP55lB4qW4RuLAa1H0tqvb9hxrl90nwL2XQY2buHhh0A8ESQIDYQA2PJtriJDvLNov8eK)hdYCsWeSGXOMk43wa(DHFp43hEu4u3n8KvRZBvsNxmz6mzmnCvJgqvlHs0jvmrxXhtK8YKaobKggb0bdb4rGTGkczHrfGXHjGj)n3KXURrffxYYw1O5Azk4Q7rTvnvSurrOjm(Q16zzNjaNCogf4puKiH6VQJOYAPIQtPa(1m2ExYYMkJQHonm8WQkneVlRkPRRKwfsja)oXGNWHSQIwkv7da7j5mOYwuAe3yW9scXcnFtWE3JSfgckTI)(76qbGMAaE(yW3GE39r)795NOblw0XAQ8cUQWzI5FYmzgraQZPXTN)Ye)6dQzjHUmju9tKlIb9Yd3m3YN6pEXCV6Yp63zP39KqOCjFGof9NmsFnpuRW9VvOpOFXXikihaoKttnDsSkmsVuAdvjhqebyG7BpIXvvIFcuy)U20uJkzQrANP00JNzezjBtY7FkfRD5CpWR0dSnhW5wqzCdnw8)iOLOXmgn(RDaXrLsNvP(wHFYU2dC(73bjpndmxdftKV2gkZGPmwupbRR2iThCo4vHZlWkejBepWRdNfg0j0cg1zqyhYOxa68rtFGK0aM7WBchfAB6DitRirhY0Swg)iFb373DRSl63b73d5yg6njQiIgztBPmv(exUjA6h07obROy9(UWzfKzsPc1pHq9JlWQNUCqYBHASPLqLNcdR27jRECJLsI)LuXnHV0PW(S1(CrZjDi(VdJ)sE6H4)oCZoDH)lDg8exseCX1bCvOWU2Rlp4)rkuD)gAn76x1vt8JD9nD5HvutfmCOoVvC9nC1utSNbHVMOvyZ4fD3830tZyn1eRXXkYDZnNVlT(k0WSc5eZSctdaTj4ivEZXBkBPIu1jWbKP)6WqfYOagog8Gvj1HP35CuxgugGyuIzYt4wSdFT72hCHgD3Y8Pu0vm1IhwnZyH0xWI(t3CpbsIsrjjEtZHGArWCSIFIyZqROGyAvcgBNC5YQLyyeEgoNotkOH55zZpq3DhiCyZS6001HtVa1ctZnIutQtLVF6NCaS7z7MwhU6ltQC0hLNpZ8MyI)Hl0bMVW9O1cMmujv8a0o)oDsstA2IxctwIKW0D7e(TO5abrvZ7cu6WnI(i6H0p8Nc)zWBZj3CoGFQd4Dq(9cuUg(av49437ScyjyWmLWjjGFrhW7lqRW3YrLwuQd2LGyysw7njENKGKaeNg)bsOcKSLKDm9UjQHQyrWOyg8WtfcjGrI4rfibKMC3aQstJp4iF0jsyIzeibPqf18XPojmf8yyGXNWbCQMXqwW0W3cEwuMDu4heJiSsvyNIp4gh1u3d8CBMiOUx8a45lrGfodjLrugjxcnlYu0omk4UZB(hma8dzDG6CIsLEcKT3asnPApWaWlPc)jffvNFX3CMfp1BT4B8dx(PFjVWlFa4SoisPef1d5e(XQWlkGs1Wapivu88cenWdCa4CYKjxQKqMQOAH9luB7C(jmmt6eUaC(gD3ktYKP6fdv8IHvdEi5b(hWR2qHlLxI8NuI8l8AW5RVSQGQ2IL5nwdz1xqfv8N(Rr9t5deL5UIVr3ME(e8PjVtYNhz17GIRWdTlr3E81UhkQ(W5tJhlW3ZJPYi17fFaz3D2Ix3DsFcYTF4y5WBfcddiHZRc7XMO9J5wGTHmEIOYiQSAzqAZYRxAB1IppC3cIH84uj2rv8iPpX61nbbC0NG5GqqFIBd3dHP3x074ImxO8ovCpK8(rF26Mq8pi(jO7snDtssCtkjleMpXkZ(aDoy6YFjQ0mgRL4RGoaOtbI1L4giV80NAXN(7GUkhlyGMTtp4Xe7T)8UcV8b4UcOpbjpI9Ya09HWxJHe545hFF4LQJFcNCXRS5vCL1KRlZxajzogx7WnbXs8Fb)RQWpxLWLED7R9o9IWmoFA9q6PNigfUVtzmsykmbdcFJOhs6ei8FH0hioa)tivVDZE7sS)EgOpI88)oSWQYEftqzfShYCKNIWDLOo)(8unkaEeiezr(QKqa2kd6IGhExo7j7GIFLZEsctFxW3vOWenGNsy1XpKtNPA4hILvtL(0fXVVnh)oftLgZLfdMkPB3a8C1XXrg(vgrszrwUa8NpgLmRJyBjcripYLOkNjNFP)GND5F05(pU4tDLN5mEiiiYJilsqYq5oY9Nu3Th3rAUd3vGMTrGlcKvaWAa1ExbyX8gQgCrehlS6heuHIpO4urXXoAXBReeJsomXXRLW5KlvKwq6H8CVDzzNwuTcHjoOGcviM9lK6u1rniLQwHWaArlpA9Cl99VWv((VZsFRxFPNphHiyZ7HqfHYf4(pyx91wFXJmEccrGWchRWj(SHeHDDHpKaLT1U7wRXkMvm4Aj8drLMBhrBi62xUzeTTF6Mw21GDenzVq5YZVizgUvyhLV8h(8x5h9IOrl7qMwDmI8jSgkqjgtw4M1PfKB9oFzZiDDyblo1ZAkQxZ0UFVY9vlOSFXc6)RLO(Agv7wxr6zLib9W0jwqd21IBFEVXhH4XmGR0ajt(7DLHjyG0)zSsyjUXNfLOAy0ClFY39kV(ul(0p7IxAweMcoz3D3(rZ20yh)G1k3LFjfKUqETipUBPdp(GLIvQCetg6oHL5HZU8n2SuzZse(7ytp0r1t8y9bsgBBXx(vw6N(ml((tJPBC5x5STqM0yqVTD4mzd7nv7vtA6xIPP)EcnrwsMW2s4KFJvqHIjnjBrVCJEBHdxeHlIwfoDrVDUa7UfMO4V(bUUuV(mkPxQawD1waBF5LXwxC3vx8jENf)Xp1L)WlT8F4F0LF0NaPUXBZBNUdQoMV2pCTOU9U6e0Nt5lwwFf5l4)LGgLswKuPAT9285d(F4SfbSyIx)3QRkf9PXuNwrgXRcfvq6QCeApe2cVXvyh0qDXwrkYRYeMMz5t(AlF6hBPZ8MvozPELA39j6yIXhTjXvmzPRxo6fUoxpg2JTktXjp9TQZZHZr4yYQJsfscNk(0EL5rTkjH)z4l3ArTFQojURhHp2sYYv94SAfrC3EfsFUwXm8Bt3x2an7pOP44RZe4U(NlhzlnewduA6Trqfco9HYE95XJV2jCZdTxz3UBPZw6KDT2O7SbIz)1umJWy)n01A6VLeL8Va(lrvH55Ry6AGBLOjx9Tai)hBdsIvYCVvbb53NQoxdCB9T(s3yVMbBijHfPa2EOvmPJL(UF7L)G3LTseLVHbHYnuxTF0Kzth(4hT9I7DWhTZBBlBk)cgSsql)6fm92rWYT72AXTBce5HqBemzhWFofBi8eHR(RuPKubSIpFW5zjzrRaF1mq4neBZdrszw6o6r)02ITaDJ1JkPNGUFpoH7f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6、危险血量警示WA

当人物血量降到50%以下时予以警示

此WA在人物血量下降到50%以下时,会在人物头顶显示一个红色的“危”字,提醒各位法神开启各种自保技能,或是赶紧语音治疗再爱自己一次。

WA字符串如下:

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7、人物属性监视WA

人物的装等、主属性以及各绿字属性监控

此WA方便各位法神监控自己的主属性以及各绿字属性的浮动情况,特别可以在不同急速下选择不同的爆发手法。

WA字符串如下:

!WA:2!TRvZVTXXv8OyyeaM2chDiiTPbzbdCIyRefjLOODquBfLPTvR(YKu2XW1GA5UZsU2l3DXSZQpCrauKBQD(WjUQjfUXojnkUXgT2nXQTiU2jgf5qpti0ESxCejLpfa)hqDFZm7sUlLSdDRkYfraTAM3oV38M3hZ8BEKTT72l1UC7YNSdSHnrtvhHhBISdp0OPww0Mu0apMjr1q36783XwgkKru1hFlrchnjzwtuASOEbeoVAHmeKjJESsIZS1KwUDtpTQmP4wJvYHTyhfnl2GjXOC5bdhBBH2fYsQysDXsOpVYj)KQ)6p(wl(lR96NalJueT1iBzrjBlIrPSOziZ8WFHITUevgDesiGa8rZqsutixNcQAtPj0VWEqKbMcHflGgIGknmAkKwhbn1eNfHdgYdhsyvcm8GvF7)CLtC9Nviy4WweSQEHWkg4sIKocU9WXuc2jvGdcJDWII6sOocfkC4GBpOhbvuewYmjn3V7wZ9E3BjTx6GxhHuIshplvm1w6g3AU3(ElMr4dpLIcsISoIdmawIevnvctKvEPlU6X)SVI1OrP8IK0ax6fsAOBB1XGPZT)uPZmq2HgEOShm3UgyKb2tQC7ASrtfs47tzz)nMLVsoyQy3Bekq2b(jPg9(td4SSgRKKn2YeHK7uaBR70srBwNwwtRwI1KhunHUkjdT76gnvYykK7Gdw7cx)UfiidR1oCNTUt89IgjsOqcHdl4xZu1jinn1ciiKJfA9BUwLx5SGePdLPjeQ4CuKof61RUaZjsVaPiZZ)kN9wN4nU7mg1lJIfQhXu9TEJQN6tU78fZ)ekcj5Iu(wDUtFpv0E8YNkyLPP9DkidBbGvz7najYs0N5fLoAbyFjDQ7XqdgKjwTKiEwQe5UeWDiPkQPEmrkJdPRy0XAO2riWNkQzHQ)Vgkdt)qZ0WH6v5WiInwpdZ)rxzEDp(1eNx1vxGxcsZQCL3T6CxO6zUrTZFTkVX8Ro3XpurcX06z7U7Pflyew1O7ENnz89Oljps3rJCy)U9H2fiXFwFX6uOVEG)6f(lo4MIeJ(aAflEF0hjOp2b8GoYy0HfJoUy9rFBF03MiYl431YLC0i9qLeLH49qFWAXe8oPSgH(ik9b9T9XMc4fXtaYm(oI(c(JZC0wystamMa4lbOpjycMkP4ujfpMxUC3)wa8YervDRoiI5PU3Pe142F6hiHrqT)OD(uSxkiBu)n0pQkcm6hs9Wc93pLtbsrKUGVbr)WDIceSnY37q6YbwV2oJNfPeW7lHzSU(Y8sqyQCi(S6pAWBpihWBMmxIGO9knMNPvLMtgADbDVhD9ncCxfUw1D41Gckd9OZXnS6VFvbrDzbRIgtZonLPqnLi4RlmjoBT9m0nYFg(PWHyY852rlXFWFQEqQc6Zpa87SwAsTg3ZkSvKUxlYgGs5StxtkvgN9)Afj7Ux5gGYqrW0KMqbQ0sYKH(zdqhyGFAsjyyCAjPYHoTbOgoWNAsrCqj1ss2fa2gGYWaF1KQ4bOsljBVa4(VuLe8f4sXB0Ko1aZslzGQp6)N0N6nC2Q1lhbOgs4ZYwffLnM(GJPOyHiF3hyja5nCBKXnGntZpyQrZMkT52ACPGjmLfjO0asFDYnHlUya7hPkDa6Tpsoa0flYoWXQV0qYhMeiPkCU)tNNlGzEW)vxD59i7V8tFTvUX7u9sVp)IbFXCVihxp0GJmhAWXttPWq6bnw5QxNleOnhduG65J9Zp)PrQHhcJuh3FDs73h296K9IWSoXX9T9FDYzQdiJFsw9n0DgJ7kE13)1w5ZovTp7pgW5eayard0yNxOBSan2Zd62taNDDG29gWn7h6epqJCqOBFbCZcGojc4g(bD2bm7vpZhv50FyLt)r1EZlU6fwy1xEPkN6TQ9Qx6wVexzuCbCpkGoSb6r2Iju)9h8GJnr6b37aPhDGrsfKfiYcPypwRzPXP5RNTXLEtEcxY(8yUe96wDPToUT66udBwuwFp2Tymc(SD9Wi5X(1lFsAydJZi4Zp1hFmE9vjO5tliBKJhPpzEfiW3QyG5HKTcWD3Tg9PXonp5tqViEorLJwCEAdBW2p58Y2ygg62JUmGFbHvLYal0X0VPf7FdAyObPPqx78SKVXXif1zsNz8udpS5JqLJp2MCb2COPofAY0uC)wbCUAp1npZ2oYg1v7PdNuYKDFKp4LQD5xEDUkMp8kBwwGnllWMLfyZYcSzzb(ARSaMydcSPLhoBOqrCMYMMOIirnNXhVt)wb6sVPL6M1D4RV6o00dN4e)aPG8e2rU8mekfks8REkE)gwMgm7fAgWn7y2wNB)496Ql(5RTo)RfVhGQMDGARlJMX0dAb7mIwxcR9caD1v97I06IPjqXD1fFd7wxadGlbzo19fVY5R9MlD)4l0ftJGy1gwYZ(UR(RENVkj0eMphi2G2Zq9T2DMDGC7Xe1eYpha4(JfRCUlw7sxkkCzjqlQE8)0QF4lc9Jb9D3n)3dKQ(M)1QN80XAgbOdcE)XNCjgZRe5SduRCIFlqVYhFfofOlmMv)lVAL5(0vU(VR65MRYPF9vU6C1EV)q1l)bRC1Rv5e)I1cy05AcWcfy5YNV2vUE1x)Ic8q8MXd6C)b3OxVUMg34iHBO5ApF35ADUXmnLR))Jso6IVFZQmUzvg3SkJBwLX7)Qmw(jn)NnQ2aBKI2yXCi9PcRjsaqt0d1JeoINT7anjRAje)og0womckQUbXl)webyxp)eEU683vJ3aGXuulCOGo)QicE4g1YQjvYID8oxc(ai6fPjTCpGXttJwpL2QxwMm2kkQZGDU17IYO8aHSZAIW7n1WJV7jgEjEvyYvuvgLMaZGC5Tw(jxKwTgkgBsXjHRMYevsA5vtsRouE(LJUnFa5maPjsmWb)b9x(BV4Gg6YQSAU6kA6pzK8WUseBRLXalzQRMltNM6A9K55cS9O3KvSO8wg48JyiJMmTurK0rZBZk2lV6sWCkbkfNJISQlrWW9dNCEM8gs2kWc26oL4kWsYQwhH5ZNcftutZ8rezTZYFpDsU0dCBkUzSUOgnvcwahCbrD1sSRm2x5Ny3L3AsDdD0NJeTqzCq5(ql7wNm2QeBHa3QS180XqTYL3xYsaIBG3Y7RC6hQCMYzlpb0myZussVURzi6TcHlfMpVvy9cIs6HLK6gmzYHnlA(djQY9hTNE2zIer7nPcGL3CB7gREmH9zlkdkHOq2S4P4Q(ddMs1cfjFzsndr5tUTK0Rl)OPlzRrudGjIAGPl2JwoxaMHJ6FXfZZjZOAoLzJEPLGyqlAlSinAcXBFmWyaM5hCrzvGQei6zP0tcEbeBaCj0dRTcVo8SbaoijAJBYKBoyZICUKO5OWf8n5Jt9ymbnpDTMb68uMpo4hPbF0s)NJxbLC6onkVpNV7GNN)DhSLfXOcWCs9djjadlyH0uyFrcjho1UZINHpU9(3M5FFUha(SiDTjZ(Ud(5Fd8SUVv6BTm9T5TqLaZu6OHJeU35N2alFaSO58hWPb(iqWUQYSLTxKyi54gES2Y9wbvL)8Xz5lzyPaXSvLxY4i5JVt5EJSRidSKcgI9HakWd(q3M)TDSBkjQENpZGPtLA0Yb27ps5YN5o35oxmpFFJhT83ClPLm0mW)4TaFwYJDj421xIBigK9(2ARTTSOu9SYalPQZnyu)H5JPwq3aJC(1ELIMONcJnWwtgZgRz(4nxNIes7)OPh2gTZUJ3Uv6EchlCS2N6F88)N)

8、随时随地查看宏伟宝库奖励WA

在史诗地下城界面左上角添加“宏伟宝库奖励”按钮

点击后显示宏伟宝库奖励界面,不用再回奥利波斯,随时随地查看

此WA方便各位玩家随时随地查看本周宏伟宝库奖励情况,不用再跑到宏伟宝库面前啦。

WA字符串如下:

!WA:2!fI16UTXXv4QOFKe2IaBHe3GMIMf0aUKjs0IYxaSlCTjPOOydfP6skzlhBqUC3HCNOL7SyMzff1VsvBQTBCDAuDClcIBAvrqlckCteAtCCsqaYtaHqFcCfLS)RFc6zMz5fjfNsiSxM5CoZ58DUUAOPgPXiwJyD1yRJnjUfj(ut0p87SPHp3Mql4XXexwO1n9zCsJsOL5HdfI2QqTAme)Mp1ggUMazZsWU8vlvyw9SzMU0MMeIJfPPBXMypufVd0N558Sm4iD0six(x3LS0w1r2udt5rDsDg3GYNNArkx3H00UQIB4y3q8EzfDjz2KMRb0O21ED5E1OgnqEF)ZJmwmHp1GD6sgoWjXUuwoQbRAnSlMzFK2pJ3sgW2LrUlfJIQdI70fr8IMuShps4cUPD5iA4r1CXord9TszoKXsOhhLPDnQ6GMH4ZqrQz4WqrBFWkjbDGdQWYp1nDiMgoAD5s7m9EmKAhLyG17zpbsM9Q9okS1LdwmGPYzagkNjuOXgttCuydh8kiTQ(CoilMNHj2TESaIzWf4vGJ4DxrraSYX0EPU7hS35XwCByNaZldIlxjs0(ucpD8yXpEadtJW1T57Id1s7HL4XMiGJLNedUFxtKWQLh3l3tLGFDPsf(b0CIt(sDfZlRfPp3c5pUgabexNwA1iungqJtFCaX99ybIRvpXn(lTBlUk3vIMdI3XIfoj3n8LdiHdr1movHzz0tNOu55tmxUsL1tF(e6twmGmxiWeiiCN78wB9fVFN7C7o37335dUvNFZhhoGcletgwPC5H3z1pRZv(8oV9x05k37uXgFRV8gB9v3E7B9r78ox)H3E9Umb66Ia1q4xOb0hIkRviMcZvkx28PdlJhsrrq2Ng3gP1Wa7gagHW1ugQuoIDDdmCf9tjsQIeoPKyiwF)yXObo4r1cpx2znCrokIlHA45asiCunKRviqOYShiEmI05oAqes0UBjRJejmuijx6PkbYD25tlpEqY9xmW9pAxhxp2LKwKtn4grcpnukkCWwqTIir3leWXCiGqGx9921iU84kxUGriGnVW4JcgAnwCWPRWQaYgaWcjcphqacUdGpyLIYaKiFtIeSmPMc3ZaRxcQjYXEYcTrdbOMmSpuxjpaifagWoaRY6UWBJDQ4Xor3G4rhB8yhlAGXjypVejld)P0qLibnsOJqojGp2ihpMwtmK5j5dVIHmIuqQgMX8rSDPmso7l74t07Whmsm6U4ryCr6N30Z9LNqBy4i21NIKea3vUnzr0clHOJQjl5crHa0uWnLd2CrTP8DLnfGdM3sl4xVWT9vwVwa5GfpaKlOTqtxenIigMcTnaCnr(utxqVCQ50lwqhCiDfoegit9e((Elk(ThboDlpevqzeXL(8JGUbpw(syznjXhADKd7II4kbwiqdq398xuTVnzi5EGQkbcP)fo1hfvGu90kij9B0qu5pW2r3pQ2Tf4JbvNgBbb7AsE3pZs)3Uzg82GYdv9rM4AyZEBPCUnfjBMcUevCfPXbv0JWTXmicfOxe2OzA4zufl4PpQpO7ZLWH(QOfDAPJAAqTyYIhQK5DVr5CedR5Ygj6pzxa0(zUloTVJBwhJwWGvUwrkwyU8t(kzlfltXY5kKjB(YPMor(mPHUfjYnt5cVcCiaa8AWqnAE(CMMHgtWi0kFpMoyYdy9IoCniGzxdHSQAyUOYzbIknWmPw)eO)pjoWekRczL1RJOSBCeAWJx95UpWEzdNMgTyIWMkRAbDbeSos8nRJGSgSPW6l4EFM8wQGz7s6dZGuf6c0crx3cv1VwTsICIPtNB2PMlNUi6MfkjhwR9pAnWP74iQKme13voKysyouY9z(vLVveyhV8gLtLOyPYflLqV0gQ5)kleWgqZFoYxoIz7NE9uexlSS8ZQs5M1IfAtOKStXENYMcRQ3HwrDiSNW7GI13Lzvr30gzUy7NUNUmlfb6IEXztNl3Ac6H(oMlw5rkfAEdkwm9hd68UMVBaogAdlm71KG(sOjmCB5nsWSXQ9ZrQJn9EXEzdCvWefMwHc(7xn(Lf(vVdAifqatZqSqd)iSO4g4iNhCCaRl8OfriVeISiUUWrvzndxCdPl7KT)EZ3(WjDjUOvrgmKWH0(SFT4rOrfYTo3(j3SR)vISugc(2alwvpkcA4wLzdfUxmPyiIR(CvnjoeQ(Wvfv(rlp8AgoE2gsH(mQ9smS6EMG9eHDaUSzaQ5YedjyVMked23U9HBF22NBnHgvWNN1DZEujy1BHEaKhLuhuj2OAYVA4cb3xyuyCkhUXfcUVGchhem3n9cyne8tzdTgwxQhdnsRHgz5HANSDQ(AqGHrjIGTHAN4jB)cJexzFjhU9ZoLyfH6dm1(CTple0Zm4cWe(gNLuoNV76qqKUAu(qvTLZafpPduM5Qhijdgp6q6n8HQNHeThPeFVd1(YHKWJde65uPkx(znIvPQhNq889L7wMa(ldoHg(NEgjpIejQDskXbjOADlmKezcYVL41KquRC918wYBa5wt9DwsserrIh0Lhq4toUUPJbJjPBfikcYSEIj8PoEVGnN7Xo9rpAtJ6KyyYrlLjD9vQFIw)8JEIv7(5E2RB2lZmK3buFbPSaQ8YQDN5BD1qLc8oP4tt1Ly8pB4HhEOQL5IKRrSObZco0e(yRnYg9IwtDXcJ7g9ITpsfinPVOvD0RO3um3z8nQ1FsXHtUcH0yOQmudaN0JhB8yhFDoXmWx98dv(DcJT8EXh(UV12)Hpz73)d259EZbNIFSTV(1E4A3X7z7AFIbyGperOGw2Tlo8JgqnegZgftNlDQstPNyM0jf9NxEOFGs4W1oV3hPM5FWJiIA6)OQz))VV(QB9v3z7B(zp4kFO25SOgam5InoC8tD84A78U)QTU7RV1D)Wh(l)7B95FcqBN7CTh8xFJo)UB8G)5N(WR8BFWx(LWIHk4bnt(g6)b1K4y19M2qLfOfmYsRgL0aAfzsA4bUBysqOJYEo5Fmm1iHUymOz3kqoMiywBUSAg1GYsq3linZXr(LNJn2yPYRT1DVwNRFpTT)ZFXoV9FQZF7x35t)xBFT)O2o)I)XoV5FPZBCtX(36FdVczwU1W1fPccpcYUnVYAmKtn5yWBKSqPsfMro(RO2QOrtwGdVZKvupecIrxkBQc5lEPs6jMmD5e6q)20fGwVlaDEtxSuHPkLn)czYLOyXe5ZotICfJLm3SBGHPvPQQLhY75X1DHERb)Vqslk(NMsjuwL7Z4qB0wtguR0EeM(XInrSjgzP)Zf(F

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爆肝万字用Python实现一个上课点名系统(附源码)

前言

今天给大家分享一个比较有意思的Python应用,使用Tkinter开发了一款上课点名程序,此程序可以用于点名、抽奖…代码不到200行,程序简单又实用,分享给到大家~

开发工具

Python版本: 3.8

相关模块:

Tkinter模块

PIL模块

环境搭建

安装Python并添加到环境变量,pip安装需要的相关模块即可。

界面预览

1.启动

启动

双击打开后,进入软件主界面,所有功能一目了然。程序会自动识别软件目录下的names.txt,将里面的名字导入。

2.开始点名-顺序点名

顺序点名

选择顺序点名后,点击开始,屏幕上就开始滚动出现人名,人名出现的概率是相同的,点击停止,人名就停止滚动,点名结束。

3.开始点名-随机点名

随机点名

点击随机点名,程序就会进行随机点名,人名出现的概率是随机的。

4.手动加载人名单

手动加载人名单

可以自己手动选择人名单,前提是人名单格式为txt,且每个名字占一行。

5.开始点名-顺序点名-Pyqt5版本

顺序点名-Pyqt5版本

用Pyqt5也写了一个版本,实现逻辑与TK版本相同,界面可能更好看了一些,但是文件大了许多,大家可以在后面总结部分自取。

三.思路分析

1.整体实现思路

整体实现思路

2.点名实现思路

点名实现思路

四.代码实现

point_names-GUI.py(主程序GUI)

import randomimport reimport timeimport threadingfrom tkinter import *from tkinter import ttkfrom base64 import b64decodefrom PIL import Image,ImageTkfrom tkinter import messageboxfrom tkinter.filedialog import askopenfilename""""2021-11-10点名/抽奖程序主要亮点:1.两种模式:①顺序点名②随机点名2.自动识别人名单3.支持手动导入人名单4.人名单导入校验5.人名显示位置自动矫正6.最多显示五个大字"""imgs=['./point_name.png']class APP: def __init__(self): self.root = Tk() self.running_flag=False #开始标志 self.time_span=0.05 #名字显示间隔 self.root.title('Point_name-V1.0') width = 680 height = 350 left = (self.root.winfo_screenwidth() - width) / 2 top = (self.root.winfo_screenheight() - height) / 2 self.root.geometry("%dx%d+%d+%d" % (width, height, left, top)) self.root.resizable(0,0) self.create_widget() self.set_widget() self.place_widget() self.root.mainloop() def create_widget(self): self.label_show_name_var=StringVar() self.label_show_name=ttk.Label(self.root,textvariable=self.label_show_name_var,font=('Arial', 100,"bold"),foreground = '#1E90FF') self.btn_start=ttk.Button(self.root,text="开始",) self.btn_load_names=ttk.Button(self.root,text="手动加载人名单",) self.lf1=ttk.LabelFrame(self.root,text="点名方式") self.radioBtn_var=IntVar() self.radioBtn_var.set(1) self.radioBtn_sequence=ttk.Radiobutton(self.lf1,text="顺序点名",variable=self.radioBtn_var, value=1) self.radioBtn_random=ttk.Radiobutton(self.lf1,text="随机点名",variable=self.radioBtn_var, value=2) self.label_show_name_num=ttk.Label(self.root,font=('Arial', 20),foreground = '#FF7F50') paned = PanedWindow(self.root) self.img = imgs img_=b'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' the_img = b64decode(img_) #将图片硬编码到GUI paned.image = ImageTk.PhotoImage(data=the_img) self._img = Label(self.root, image=paned.image,background='black') def set_widget(self): default_name_="会是谁?" self.label_show_name_var.set(default_name_) self.label_show_name_adjust(default_name_) self.btn_start.config(command=lambda :self.thread_it(self.start_point_name)) self.btn_load_names.config(command=self.load_names) init_names=self.load_names_txt("./names.txt") self.root.protocol('WM_DELETE_WINDOW',self.quit_window) self.root.bind('<Escape>',self.quit_window) if init_names: self.default_names=init_names #1.文件存在但是无内容。2.文件不存在 self.label_show_name_num.config(text=f"一共加载了{len(self.default_names)}个姓名") else: self.btn_start.config(state=DISABLED) self.label_show_name_num.config(text=f"请先手动导入人名单!") def place_widget(self): self.lf1.place(x=300,y=160,width=250,height=50) self.radioBtn_sequence.place(x=20,y=0) self.radioBtn_random.place(x=150,y=0) self.btn_start.place(x=300,y=220,width=100,height=30) self.btn_load_names.place(x=450,y=220,width=100,height=30) self._img.place(x=90, y=165, height=120, width=180) self.label_show_name_num.place(x=300,y=260) def label_show_name_adjust(self,the_name): if len (the_name)==1: self.label_show_name.place(x=280, y=10) elif len(the_name) == 2: self.label_show_name.place(x=180, y=10) elif len(the_name) == 3: self.label_show_name.place(x=120, y=10) elif len(the_name) == 4: self.label_show_name.place(x=80, y=10) else: self.label_show_name.place(x=0, y=10) def start_point_name(self): """ 启动之前进行判断,获取点名模式 :return: """ if len(self.default_names)==1: messagebox.showinfo("提示",'人名单就一个人,不用选了!') self.label_show_name_var.set(self.default_names[0]) self.label_show_name_adjust(self.default_names[0]) return if self.btn_start["text"]=="开始": self.btn_load_names.config(state=DISABLED) self.running_flag=True if isinstance(self.default_names,list): self.btn_start.config(text="就你了") if self.radioBtn_var.get()==1: mode="sequence" elif self.radioBtn_var.get()==2: mode="random" else: pass self.thread_it(self.point_name_begin(mode)) else: messagebox.showwarning("警告","请先导入人名单!") else: self.running_flag=False self.btn_load_names.config(state=NORMAL) self.btn_start.config(text="开始") def point_name_begin(self,mode): """ 开始点名,点名主函数 :param mode: :return: """ if mode == "sequence": if self.running_flag: self.always_ergodic() elif mode=="random": while True: if self.running_flag: random_choice_name=random.choice(self.default_names) self.label_show_name_var.set(random_choice_name) self.label_show_name_adjust(random_choice_name) time.sleep(self.time_span) else: break def always_ergodic(self): """ 一直遍历此列表,使用死循环会造成线程阻塞 :return: """ for i in self.default_names: if self.running_flag: self.label_show_name_var.set(i) self.label_show_name_adjust(i) time.sleep(self.time_span) if i==self.default_names[-1]: self.always_ergodic() else: break def load_names(self): """ 手动加载txt格式人名单 :return: """ filename = askopenfilename( filetypes = [('文本文件', '.TXT'), ], title = "选择一个文本文件", initialdir="./" ) if filename: names=self.load_names_txt(filename) if names: self.default_names=names no_Chinese_name_num=len([n for n in names if not self.load_name_check(n)]) if no_Chinese_name_num==0: pass else: messagebox.showwarning("请注意",f'导入名单有{no_Chinese_name_num}个不是中文名字') self.label_show_name_num.config(text=f"一共加载了{len(self.default_names)}个姓名") default_name_ = "会是谁?" self.label_show_name_var.set(default_name_) self.label_show_name_adjust(default_name_) self.btn_start.config(state=NORMAL) else: messagebox.showwarning("警告","导入失败,请检查!") def load_names_txt(self,txt_file): """ 读取txt格式的人名单 :param txt_file: :return: """ try: with open(txt_file,'r',encoding="utf-8")as f: names=[name.strip() for name in f.readlines()] if len(names)==0: return False else: return names except: return False def load_name_check(self,name): """ 对txt文本中的人名进行校验 中文汉字->True 非中文汉字->False :param name: :return: """ regex = r'[\u4e00-\u9fa5]+' if re.match(regex,name): return True else: return False def thread_it(self,func,*args): t=threading.Thread(target=func,args=args) t.setDaemon(True) t.start() def quit_window(self,*args): """ 程序退出触发此函数 :param args: :return: """ ret=messagebox.askyesno('退出','确定要退出?') if ret: self.root.destroy()if __name__ == '__main__': a=APP()最后

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真·富可敌国!看全国GDP十强省实力“碰”出来

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“十四五”实现良好开局越来越多省份“富可敌国”点击下图看看全国GDP十强省与哪些国家能够GDP“对对碰”
第十名 上海·
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第九名 湖南

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第八名 福建

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第七名 湖北

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第六名 四川

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第五名 河南

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x-_p-_o-[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]-o_q-_-x

第四名 浙江

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x-_p-_o-[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]-o_q-_-x

第三名 山东

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x-_p-_o-[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]-o_q-_-x

第二名 江苏

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第一名 广东

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李克强5日在政府工作报告中提出今年发展主要预期目标是:国内生产总值增长5.5%左右
高基数上的中高速增长需要付出艰苦努力才能实现
为虎年添一把“虎劲”为中国骄傲转发!
数据来源:1. 中国大陆各省份GDP数据来源自国家统计局2.折合美元数据按2021全年人民币与美元平均汇率6.4515计算3.“最接近GDP的国家”部分对比数据为该国2021年名义国内生产总值

来源:福建新闻联播

未经允许不得转载: 汽车日报 » 比亚迪muv价格

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