PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding
Pact of Beidat not applying extra chains to skill calculations
Dieses Issue hat noch niemand übernommen.
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Beschreibung
Check version
- I'm running the latest version of Path of Building and I've verified this by checking the changelog
Check for duplicates
- I've checked for duplicate open and closed issues by using the search function of the issue tracker
Check for support
- I've checked that the calculation is supposed to be supported. If it isn't please open a feature request instead (Red text is a feature request).
What platform are you running Path of Building on?
Windows
What is the value from the calculation in-game?
Pact of beidat is adding 6 extra chains when up in game. However, this is not applying in the calculations section of path of building
What is the value from the calculation in Path of Building?
https://i.imgur.com/4Fm3Ytr.png
The calculation is not adding an additional 6 chains, undercutting the dps of arc
How to reproduce the issue
See pob here: https://pobb.in/wBKXz-Xx0DTO
Go to calcs, select arc socket group, hover over max chain count and you should see https://i.imgur.com/4Fm3Ytr.png
PoB for PoE1 build code
eNrtfWtz3DaW6Of0r2CparbulmWZeBGg154tPS1NJFuRZDvJFxdIgmrG7GabZFtWUvnv9wAg2WSL_ZI6szOT2BWHTeIcAAfnjder__02Sp2vKi-SbPx6B-25O44ah1mUjG9f77y_OXkudv7374NXl7IcvosPpkmqv_x98N0r8-yMZDK-zsLPqnyTZ9PJ6x2645Qyv1Xlhxon-QQ4J3JcDlU2vpC_ZPmbLHq98zYbq9b7ZNx5H8hxlJT1r6-JurvIIvV65-zi8t3VzY4TDmUuw1Ll5-qrSvenZWa_xzItAEAWoRpHh6ksirdyBO-PUzVS41KmSVEC9OzDx6QMhztOqtG83vHpDvTtu1eXqbxX-XUpS-erTKdQjgshPLxHMPcIZjtOAd9e7-wD5eStOk3KnRePATyY5kV5JEfwuBAB3sPe7A-vMVxPlIoWAiG8x3Fd9DJXx3GswjL5qg7zpDwcynGo1oNdp3y77MU0LZNJmqh8cXnXrSFOVyMH-rmC7_kUe4Q0vb_JYCyPLq8Xwrndklm5aQ3AGMODFGi8rBYmfI9wvudRD4bXr2HPbsdJqZYBIu4JH5E97FMX-w21gR_GIF9alsZLKwZwSj22Bw0gPvfajV6n8oU9vsySIhsvr9lj2HcB2OU-QfNkXmtMDqdpCt1cq-yVKlT-VZbJ8mb5lEFXxJ4QBHrV9OkwGwXJePkgUrGHZpJ5IcfyMCvK1S3TJS9VDpqmXAqAXH_PFaT-Mwd-rcIMVNWmNW4IeZ7Eav2S6_RqHmDT1jyuH8fX65bbGPHjGnQFqnu9ktfZNF3OJ37DhNflEvVJ8Uw2viwtiRvxPFLfFhdDLWH7sqwkwbRRceMlHfHaLVxW0p2172umRXxx1Yz7aE-4IKlcIL-jdo5PLxfCeVg0bb4c3hdJKNML-S0ZTUdgfG7kZ7W4TuyCbp3x7O2w1Mp5bWjkkoYOJ0mu1gZkAs3sb5ZG6wIm47gBG8qsWBcOteVyDUaeqPClLno2DtfD-X6cGy2-zGFpl78CAdQOUpCqdbyIbhWVHK-nha7UrRpX1d0vBtnDbaBzpcLhG_B8r2S5uIGCiLbeXlyuQ1dddCld3Q7WdSiLwShygQWIJfZRP_QqoqEZR2rANcnWBlmPaITTRuKOxyq_vb8eJiqNNgaoG3coJ4thuyzdBl82BNT392h_nRtRpQ26HnUa0I8yj9azTeu1CYF6bZr1VRbLNPEc0WzpZfSaeTwK_GkAiNQKp5_MIpfsFx23pGuBIUxp07r9fJRNF9tGyjrdsKWX9YLzeTNi47YrFU3DpaaLN1U1UdhBCjHzit70gEFT03Qd2BkVylKGn4-y6FatC2Iq2Qii277r6WQCakVzxaoeem3zCI5-ssQ7mon5rPA7YOplAi5Q24yuqACxh4VXVcDpA_dgRS3uAoBVNbGOZV-3klbhVRWgPYwfDOgFqA2dNzHJhossWhJ-cSYY3aPII-5Ml5xAoPeIYNKAtWPJCs_15yRNF8fe-uulzAEB_ABxDpVWA2ETXKuidGx07CxH_TBA7kM90zThUlzzkf46zawSAY7NBKxoLsZA_T1GMJh5n_HFVchxonHnchw1pE7lSDnX0_x2DUG_zO6AiYY6v1esobxbpcEVXY3-JFfjX-_Xxt8pvqwCMrO40TTXKmntOuYhZtXcJCMwZ0VxJEsJNNYp0JMkLVV-BDTWEKZjURXXfJB5IsclMo7u3EtsvV8l83B4DsBm0JpfJzJNA9Dh8FZX_OqFSbzqp5tcKUfWijfUWEzL9A-nhI-tFCz2ddZzWkD7TmUxPMnykZylaIErR1J_u7eSX7ze-Q0h5rJdxogrft_9DXiXo11MkXDhF-bE5bsEMebBL0J9DL88goguyZHPd7HwiIbzCBV4l7m-T37fccZZpAotuQC4C56sT3aJLyiCfzkiu5xSusvgH77ruZTjXcSQB7gIVL6LXeyhXSEIwHDf93eZx5G3CxVgtusxIQT8y6i7SyjFZBczn7u7Hmbwj8c8qj96UAQ-etByUDYaFGpiPmGmiKuLEGgXQQCJXUHwrm0-vOdil_u6CGWCmBe6uPChoOfCMwi32BU-Feat2KWYQ2kiBNUNBcHfpQIhAW9AH-xi6IrYtVT0EEW6jI-hvwjwA0bkQ8dc5iJNB-gSYp5uL_Y0ZblLAI_LNWWglWIXURfKMKgS8Ahf127GACHKYAQxIGMcqoSeMQZFCAL6ECKAKIj4QFTQwNBMDLSGRum-6WGH3lPoMTQHxgbvEuzDGx3Tkl0KbEDhjUaPPWjQbsUsoIphLAlBuskwuMw1Pbe8Qzymn4kHDWEuVI4xA9ITRD3gEAE6fBf5ps8UqoFqEQwylNaN4tz1dxHoORg7ijQ26CDV_YSeGPZjPjADQj6GhhGoiHDo_i4SHGkSMBfaDiMHgK4vNNGBPwAhB1JCMziHPgGDaYZDQFZoEjQAWApKQtXQVd0iBOOoq4PGgyQIbgjE0C4lnsYoXLoLtRHdNpNzMFkkmd_vzyYjziKjFWT3Da5mJPQzMTL83av3V-fm4bthWU6Kly9e3N3d7U1kOcxi9Q384b0wG72YABBI_3Oj759rkX-xD38Obi8Ow-m1-D7DQfZzMTy9uineHRWfPsZvL_9x_f1B-uZT9MtlfDAcR2k4HH557k3E9FP848m9-DVMT279T1n85vLb6c_RT5_vDs_dyV3y412UR9NP8sPZyVDKL1-_ej6T5z-i0Yd33z7wg1v_6NPNRP7M6Dn6-ext-cv7g-c_4-mJW3z9dn1HaAZUf340PL7FyY8n7MP3bPw1uv18F35wj88OP79PRsXolJ_-PKGFiO7f3g7pm3fh23L83g8lw9N35fCnA5KP2E_lxXmcX4e3zy-vRnf-uS9PFPrx4_FodBZ8C8PzyQ9vT9mRd3319e3J6Gb8Pv769frX08OPR2-KL78Ub9_7V3fo2-Q-jr5_cz86zu7ii6ujTyfFm08nH-h-dvDT_v7xwf4P-2fwn_7z_e1-sv_x7EDeBqcXcewp9-rLF_xJTU_IT0eHv377cXwd3VDyc_JGvDaD9qIetVd2TqywQ1j9csDxGOkx9qwmNI9an1iL8rAcmZXT-mVRMTwrZmR1UTnUKmdYdEE5Niundd7CalvdMDpzUUHeqlertkXlaIssWilW5V69aBPzlfZj8wTsiDXDL7S1M3ZRm0P9YFyjwimG2d25upXh_Rs1KpqZwUjFcpqW8O7cTvmNtSmsU4I7tT3VOK5VaS1zluvyxcE9OF4nOlrvzit0C7zeKfMpVKTr16GQ_XZzP9GWb__8vN2EH6YyTcp7rROs5a6qdZKotubVSyeVgW6tnp3VabGorkZPwO7P2nwo07CwrU4z7UxmWVnsOMkYjD-Qdly5jw055sCbWr97Bc1zQnA-LQ2-WldFj831dDSCgD9Ub7JUjeoGvUmzQKao6b3GdpGMjXthIVTUD4Obxsx1rZqTxW4H3Vw3x-C-Wu_H1uJAJU5VyzyUAfgyo7lzaxnvQpUyAjfuxRlwYvFCD-ULAwBP8701OHvI8GI9spmAbGPCLYLaMulMNdsnXrv1c-RrfVqTgNclEGRjAi6C2jIBTTXbJ-AV6L9--rX6tSb9mrTDxjRcBrllOjZVbZ-W872YI-jc58YC6VJbUMdAra-qVx_3gq-jjk00XxmaBcO56UjNxmM-Z7AhyWvwOuNQ07rT5pWMq1MUIxkkuuat97CLfMP-dYGb7nVer-xeszTpo5Kfx6oott7HpgZnVsWGPe1pZNPdh9_WGlJlk05rdbb9cvV41vmsxwyn-jhMJnNjqVrpsS0qAyDXBJQd3q57dgke7Lv4QCXQy20TV-N2stipsTf0xesRuNu2hsad16vtmJkws_m4rYuKRe7U2Dc1MZ2mzUxL-_UadtroxROTkLPzN9tXCRa706Bft6NNQNNuXseK9jR-24JzkEX3TjW_t01TapLwTyc0mrOgm8uJnQ2oadrML6zBNWfjYpLkZrXc1nmmg3vtLjUcYyZKVWTWQjxgmDbudfuqY_BpsaWu6iVFs662UW_eUzvteZPZuaaHnW1hX7-vaVRmeubzD-grKLwycyzyR_QW4G-qpj3safNt3Z6-yZUszbxRso1xJe2uVridCnnTVz31u1Zfu42b723n67r9PR5N9DzZFrpKOz5fjXbWyXUHdD-KEs2cMjUpsof9rHH_QQ4R2q5DdJJnRRmkyfjz9q1oC_WmvmYLdOZszl7-e9D2DGLmHDx_qC19lLNZVV1Tt2NuKtyORb4hfbstayjceb228gVv5uNQje2CH7uWcsud1VU4d1CHYytxqlo29ss0onfdlj5Qyj3d2Ta7nap0pMrtMtuFBMplqdJLirYtyR3cG7KapaOel9BrAvanedu_aSNeyW9HSRHqzTPj7Vv5NupN-9cCbfrVevnvwDs3ajRRRVktJt0291TYnRr9hgSea1xD4-77fwcyHynwf0bJWP4hXvkc9k3ZuAs94-TO-z_K7jrXd3KyXWJ_kDLdTsjaJbPG63Tj1vUo3DSooW395gFVq8drVZq5Wztnqx8NWjt5WsryKIljlWvlWdRNthO0ulg9PzstlN2xY2ltXtvumpp0UTOhiu3mzu-ugITl_Uvnav_qeHANYWdSOnotxmRwXd7fAnWdD0mhBu_HyZepcs6OXjpewJhkQkQ8Dnwv8inzlfJwwFUYyiAmAXZpGAsZBZgrIjARSNGQuhFFlMSIDUwbjDf90hFsUE1ov3T2B2cjUKJhon-gwaksgFP2g_uigCGwpQbPCNPh2XUJdLgth_Db079HdsbasavIK9UzeOa3v-nNCoNn2PtbHd85di2oDk8HzP-b3kYLj_rr_tcsiZxA6UmX66GuORr8FuYyLlX0OwIMwLkQ3hQqqjwUM6AXWXQlx-Cu5PpfvVECIik7eV0N-cISeGUJsrIEXVmCrSzhrSzBqxV_huXnWIr1sNQH8LHUNz1lkkSDf8hIOfujaQoj2eKo2MfU8zzXlR7HPvM87HHp4oAEnh8FXsQliokbKcy5rxAK4CkkepGaUIEKYWw6HEUH5ulKfQFe5W2ewrNB3E_TLIT4tHD2i-GuY2INR44jPWuZj4BNDJsdqW-gDqEzwGd87gVzlzAe5YbLTDahxWXPMDHvZ1N6rY8zBiNtBuuv4S9-MztWHvLbW3Xn6BKDCxUlQLZDu87T-Ye6U-ng0JL4paPV5-AyV3Hy7aXzm6n0JdT5-34cA7do4_c2K7V10J5soVXAWqVt5k5F75pV_4PraWzA9Ob97o9DsBzpfVFWC1-AP91Bp7mOsQQvHdlU80mZJamfsvjTOBs_j7TyATb6JJNUzzoVc_BvM5C3Q20uXzodsXDbYkFaYhFFhUOdS7uUztZftDjTgQLAk53vTlI4sm6w1dJtfFD8egQB5hxS5xbICM1CbpvZ7YpbPasCFHp-VHXP2a-799vEDMLihtQD4LRGYCXQbIz_ncSqVyTQMpEA52MYKbO4Jc_uxgM7awAMwGn1fACjUO1-S1KlrXBH7bx0uDdo79R6WP56KCfAf6a-4zSqH1cIHvbx7-egkNOzmhVse_bHUbs6Mg-Jfje7bMy4NkrVmuT3gcpxU_6h9NU_ZuLM-e9N9YdD4A3LjVWiQEUaI3kI5_kzsGqngm3BHGCfuLefGz_o4Ln525JXzrpm7Dk2VkR_17JiIbWg2Rod7YiCsVlQyLC9KfJbYTrze_NNv3Vkrpym7U5wX-HAbrMRo3J6NgU_vZ9k5VDHF7IRSqNxjA_HecsuVokf7erpAZ5JvrasM31hucQY7q59rJtGaLv4gvYjv18HGfM90z2lvC1eGm9-V9Wz_J-MCla71f-a97sQIfz-WwjKOBvN0SdS4M4SUHujDCg1W47wJ_Ukl5QQK0v4i1UhmvMO3r89--E9hDgw_tPUvBtcphDmjsFJuA7VBCKKtk8a-DTwWSDA-0RcSRaHEVJIcE-GksZSIoyUz13su4JShLBHZCDcgEdSKYh_yHyU00h6S9A_Poe_bbOMuxEQ6drGeU4xoiO0jCDfXyY7iLXxmOyq2cMGlkHmIKAgOqNEWck9TcagtFW069wl5dDBAJrbuUqn3v9WASPXfRgIWahT6IARylp4HHkLIT3UW6Ov6xwg0Uai50MdfS6ElkKgAwS79_9hEtHLqz1W-12QJl_BfXGO79XgXK-WmPNlW8yKlaKKCZ-LgEnP53FMlBcqn_pEuYFEkjOJUOgiFQsRUMJ8F1hVMiJIRGMUr3Q7Q9CElapb4mKKLtOTFmszuszjFAs9Ttzns1lObXucxUYuJ-6Ig1bylUQt9BCPsvxejpP_kpOs-J8CelgU4FguLH4tI4jqlnwfZ3eFCTT_83kb9_D2ocxzzdof9X7OgR2rhcztixBxFnqgbD0GeliSkGAWgtMaB9jnLPIF9eIgUoqhIBQiUn4kmCf9IHBdEqmVzC2NE7GEr3GHrz1_IV_jOb7GC_l6DS5lDx2dwRIwmRZZDfuMmCwWFNovyzwJpiVo2jVhSU92a91qWW9ubaEYmP2k2mIdZiMQrGmu_gTyQHrk4SRTzmWeFKNVssCUz5jkVPoIKBop4Xk4ppQzcD98gqQfUR8JFFEWCU8yRFgoFfdDQkTMUeStlIV8dsCYzjVUJvhToZu1toR0Nb_4oyTEe-A5tI5HazkQJvqx2NdkZPwEGcCLM3xroujr162C8MZ2TB-KssS0qDR-fpiNyzxL_wTSRHud_HNVDsFPvtRb4wb13vSH0hS7IXYRJwGPvYCzgHpK4MDzQJhiFwWey8C-xIwFoad4xCMRyDAGVz8KXPCoGJvPO1-B2Z8Ckxtvrc317gA03AgcYhixVMlIp5uSiaOPoQE973LPuTMWMS-cqfaPnf3P2b0cVINbADsATTRu4_jA6EIPchtcQzztfC_zaTI4TbRLkYT_tFHvG4--KYCDVAuDcwSCkK90ZT3pgTkPg5hJjAJJJNF7ojmKaSAxI4SEHEseR8wNOYJxCOI4jJXiXOBQcez_5cpuaLK70xqLPeCkAObSeT4dYSbFJJX3fznA25nI8PozFZo-xTDPptHgQwKqTE_GPpAXgbFEHsUCQXSHfBpirHgYB75irhezMHaDmMQRQYwrFrvKB5UWMaZCGvmBL-b43O1qrWcILbZm0NMkTkCVmZmuZXOnjpxM0nv9UXPjLI_RpNYOszyfToDlt8QOfUTmvUQ-045nkQSpco6LUE7UElJLwkTohpRKpuIgQDwCDRVh8MeIi7BQPoIQRHAiFfZCIHHk8SjwQN2DxVBEzpGaN-bCCOngPBklOkdYZjr10xmGOflNtA9grAE4NldZok-PdepVNyG0PFBOPb8ZDXRCJpuW1YiE2XisQluPc69zp_qgBFODUYj_hIHAXp-NUEM1ysqhY7YYDQ7zZAQRdo_J5jRkEAAGggaBH1MRBfAjiALfZRIRMA0Ix2DSmfQl4uAQ67EJA0VpGJAHU8Wk65raPZVVhpb2-IANeZyDNMsiTexxpkkLRY2BgS_QaqDrAPUkxwbPxCxAqvJlxgfQLoozOyx6gOjCDEXHOdRnTOvD1_R6iOSzqqXQ5OBu7jLn1Loc5qg5xy4I2b6w_Su7h6KH1Y6ybOTcAAWjwUeZ6_PjHHMwwPxUF8bL57rcPV9wr82cYeBiGbmSeEwEgYcV9hkV2EMI-SiMYqoVNShfnxGdpwNWJr4vQ1cpHMQAObhW0sTDx9_0gUfVJJpZpA-S_jHLU3AwzMs5TdI7jWSyy538sphLVtgtGYXm15qBLe9XvMn_5sRm79KAklXLY57hZQtxKO3NDHQT3HP5ZSbWXpLDO0mLuZmgWJ-NPwV3-fe6Gb3m7KQuZin81zTM_DRMn3z5ffI1LT6D9kn0Cof8vtCG_kClnQU_buQGgRvLyHdD5YNTIvQJUwRz7inGPTcIUeRTX0J85oUx56DKQUZiQRD2QbXL3rnUhYuAuN-dVnnmkyWsykh3gRll1PCfTcDVLDS_sqczgwg2DEig15s59WGjQFSI2glaNqFj9bbdJ_ggenhGlvDuX060PpS318HTexu09tRx8kFupp-HYLoHYB6f2xMqroCYHRcDc-IJxamvT1DFEIxGyuPgW8soxEEgVMjcAIEiDzDTutv1qAc8yYXvRhgj0TDnS-dmmgfTFMZ4NcOyFsNid45hEZkxnZ5W62MCPeFvlqSdjUuVQsitHmrY-TnCASFr5JooKGKg4IMJxsNsDKxd-ZJtJ-Un7VcWZu7RGUpwXM1U4UyXG_3dTAme5NmvatxMCP4JZvt6p0SsV6aJfgqkbFwTe0jGQ98Er_BNPEZoJ3hBQhIRKYFi8JljFQYBxyry40gpJLnnK04iHiEF_okURIVIBeCVCH2oG9fBy-N8E_po36TyR4zLcPzNTg9o5_o0KXdtQKlb87yKUOc9iz7Xpphop0-XNmqgmfbWahdiKrSHnZECvQ-SxOZXe2J_ickgPeuMqdtrJ2YuC1rPZSGit39_eSuP8FYQ6TURV0rznXSOcnmbjWPAV8_znpjM5eDd-P5bz7JlhpSMqeSR9KSHvMAVVKIwRlJQ4UsvJkT6oVCukIp7EfdJLJUiQnDsKhrrpcmLPBbmPXLZMsJ1lqU18WdnA5uFYOZrHlaLxOxy-G5epm1UOrOQK-dX7IYF3SCz1MkofzFbQdI0CjB9mQJL2_TPn0Dl989T7KvbBIZymmc5-LRDOZpoyn6vz2SuVEG9RBNhz1uwRtPdE5zzBxaCsRUWQmCO2-ysECEohhCWh5xjiZAKPdeTsScQxLJeFEU0wFEkMIpJpEIfu4GiMghjSoI4ZHI-tbJY8S9c8uSCQ0LXWt_3DLkrGLeajK618oOl-MD4s6SlOUZ-UDnr3aocpTf-6ELYuEFVk8z2VG1dLCja2LP_EzD93GTQxf6bs8MB-A8jiA3zWsdeT9PJEAhqgyatSvQUw5xPTji4IhzCRkqUkhQFmPuMKxH44Kp4EY38EGOXRcj3uR-D6wNBZRAofWInFwSrhbzptniRogVa970eUzPg1cHXoNAk-EDxVE-Km3MOCu0NFyrUYV5UH1QOsgygcz740dT61gPM10jlVQsk7JrUf_HF56h_HuNsHOo0pD7lt3ROwYssB9fg-ZfpvT16YiSTdKbnIOxaqOc44nhez1EIuJbrOY6x38nSqZgIHwciVhEwRwBurhJgp8NQ-YQFknOf6j1tLookDSJ4UJFE-m1EvUjxhbyE_JmeuzJruK_mtB13uxz2DPUv0Tammc7s5sO1nXqf-gB38wmLlaWgDxxU0P-e1WdWK1WIzdUresamsMX0LSwwKKbkA60GhY6_lbmszsqsoj-9ZLSvdJxnI7sy1LReQ3fh-INQtZrnGLR_6OnDwBTJxnOaWoeT2sM3wWqs_mMz3f-Hi6r5kxZVe4LT0BVMRTGXYeSiwAcfWQU8DLSUidDTCzIYBKKxdHkILnREXQnOchzGPhVxR_S437uo-sBZvqh6Tua0AzETL7Ngur1DwszpGwjkkaVrrOm_8BprtnKN9Z9pUgiJXiY-vleaIS6ApUJl8oYZaJsL8EoG1b1OWt2T-kfPdBAWD8zTzGIt2jDVEg_u-n7oYck4j0IZgL2JsaJ-LARjRIQkjHwGQgGCooIQ4dCLSOhGPg9ClzHwjbqWCfdbpoPnHx342_Z7WFdCenYKObcK4kzHB240nPNfEKr8TyccbM1e0i6_VfTqs0sY9yY3nmG_N3miBWWWRazTOqbUXIZoQdG-ZNK8gJqYlXXEzoDp5s81qPgTW5hewfL7HH5g94kqdQx1lMhRNo5mrr5Oyl8C_ixNxh0XDeJMGkZh6HOl79QQXAYsdnV6RXLkMTAiRAZSMvDQiA-WIgy82OMB5RLzgIVrufue12X79dx92p2ANwWaWZ4BIz0O2f-ND9-79MLtHSA9Q5FA7yBukeZCqGaAjtQkVSZaaQdjIRbU8zn3JIlRwIiSXozAfQ495UZhDL5zoGgURV4QcBG4Ig55EAiOXArRWeguVFPt0cH8MaMDGkXL-0Ud9NsS4Oxan9Sa94eubteN_BcaL9Q3Xvvm0ANz9EkdRP8wTcLPRZLq7EUrkDbHLhdyfgCjCHkqEB5nOs3DAh-FVJ-oEAjk88j1REjBMfModwUSRK94AjvEPRzBQPphFK8lXt113-sOIGn5QrNIuWNP7Bb4Ae8IosnCVJnQ6Xg27frvFD9jvKUZTBa4TNBAuDGMKsglgVGOKPjRYUAIFjH3kNCbwUIXu75CAvNYhAxH4GOAIGO83gwm8hbPYNK5wTd3x5v1Z4tXTD1D_MH0JfaXT1_SdaYvvX_m9OWfyZHGi-ZTgulnVbOsPvVoYE5ROkhl1N1jCxadhb5ONFPPDfwoFFKEkUKu1lA0DF2dlgHTwhW4wFT5ggglBQuE9Fz4u0QPLU4407lwEGo26zvCENRNeK95RouT3Zdu8iYIeU59zWl37639jFF7RZ_9xHwLSecXZVfRJAZD9YCdzWdupABRdy470vFI61SyCRL_cj2hE_2Jif3y1yRvtm1e5tlIH2a1P1IljGdpTWVnYRKhUSCZ6wbYZy7FwGseIlzFHot9cC49EYgwoER5AQpCUKnYRZSExDBkEM8tL_UWOJ6PsowmE-dtkIirbV9lL-3sRafAXLJvzli2Kpzj_rXq-xe3tX0rQy-kSotSpymvMpkPrrJ7nY-v0liL9vPPzW61PaC51fSYLt3OX0fDyxYGd44vW7qC2H0Ywba1DDX7PgTrYJpls7p2t5XNwqInH9W04M-uivRtZYsP4OteZGZ45ix6f3U-dxGduQLuMoAP-oBFfRLh6x27Qah9Ud2r6xT8KPvVLF-eOynPIXOI6ovl3B4E9eUb5lzGeUTeYxFtAGdjFroAArF1O71JW-2Rn08hm17WuhWyb70X6MkYvG2xz-qm9EiCvfJwsSR0rkRcMSJsYz7ECyDwks6j3s6zJ48D3QI_bYMn2eY4-kmCnyhgm7B2r454VE82lo4-pjbXmy5h6tb1p-sMydOF_DGkWKSjeQ-MXTO3CIIsbOciCLGEOotg-g1m-86cXjCvB6y5sK4XAi9iwAUAfZ3RmZyFJMZ4EcTCzqNFEBuZuRm1nsKCS7UC2oKKwhsr-kVUaNmWPjfN3Cu8xE1r3Tu8UhvR7QwE2YJSe6rrs0lXrCg9Sbf3tAA_1TZsjZ-9LfAzfSI1HmWk7KXUS5i7dWn1agODt8PddFvOKHsqg2ypQ1vzruljxtheUL54jNsXmK_ZIfxk2d9avIq3oArRk7uzqZu7oHhfkPNGpwsfp6qeHBotgsBoUw25kbUwPcaP4XWfumIJq5vP6xNsG7xFt2VjyJOZ9OkWez0OstdU1JdWtPlpoa_Llw2qXte9ZFDN543U16Oj20XNJ5tqracP5gqbYlOV9o6R717d5DJSektfOPyo9DxUUdVSytK5M290NhlsxZ4LpK7ue9H3tDhHl9c7TgHl7G_9s6qgF6mt1zzd5Ep9SNSd82uWjc7tbSvQ6iX3m-iCP0EhIfaIIExnfQjF9v2Pr3eeI-TveRR7HvF8RDQuU_t1mQMFdKtemStobIJ2PJkCBaejQOXN_YCvd8yBzp_s66ojtmRR6umM1zvHJyfHhzdnH45riFFShJ-CaRxfADtWINfKnC7lhFmayknRuuCsmAaF_fh6R3feLKo7UqVM0sKmhKvLX1IotRE2A3ealDYLb3HNfm6C6fibyvWs50cgXp6oql3Nr41Q2esQVWRnEiwmfadxsXnfbE-y6i4xi-oo24xIdqZUz2DoxQAVwfVUxkZY9O6Mqi_6cSPYs9FEplXN1fPGlCjvJ6qYqDCJk1CLSptzbuCbfbcRXar57oZt7IaTjXCYVR0WgX3cBPgySwp99ZThD_u8EVWr62QNVe3zJuBHKpRV3-3jJsBm3lRPj2ZjIJzF0rzbCNPbbFxfclEv47bojlPVvNgE4Tu9PMhO4FaYLkBb1S82FJxqA6nF0_q9Ea2SuBol87QJqL0c2fRBP22khVpLriuCtt9sggq0YNTow81A7Urhin72x2ZDUGcoo-Z5IyLYhddV_6sfGwmJ0b_m5B2jG6y4zL3cTGFk-oL0p6I5yqLbLbTGWCh9U0V1UczTMRqfthrv6nkhuHVw2tDvy0QvKXgaEi1lT8Oghe1pGG6SsTmc4NEIrhp_5mqpK_MQslo4U5nq6scG8OZI6hmzPwLDCXiwv94_GvzSXlS9FvQi_X-kYuNFzwxA82Yjbs7AKQSHo7oj8km49Krcej3vJqgeEsj0cE4nPQ2XtbNbIlrnsuGZPmldLLwJIvALThvP87GYrPWHAPxUybQcXmZZ-jSE1fJ6aNmm_ewRdRVm04kcRzW2d113_7HUy8oCkB5MkzQ60kuCiye1Uq_uvV-G59WLOtB89TYDH0mj1m_rH68uZV7eO5EqyupyVTDp-jLuawh-96OvmpdvYGCKpjdyMlHjpnOmDn1YaV5CMF5ob12fAKPyU1kMX-8wJeNYEhx5lAbMFUEc49BjbhhjHEQY-5L6VIZkxwBfAR-MQNUc2p_nSt5OlWlPrE_ftG8hQNBHIVv8wkPK9SmiggUqligUfgB_hBTY9b2A-dT1w4j4O476pttoettp-2E2jpPbKhNkf1RXlppRaN44ZVKmSnvlsZymZXfRlA3MA6CTkuNuOkmvuEo0Xc1QVScE1rmTteH0arh6f9gmwOa6MBUZHMDRSu9u3wS-au-m8NNCNQarYy026HLV9E3gbLz1-N6-G7cOS7BnJXTB6yQNa1IuzcrGA6V00PWYak17q7bXcJepDNUwMxfV1bWih7We6t2gd6CNzfG01zqlUFypUfZVRQf3IDf3y_CxVks0k0McX-YyvUluVW6OG1_amB4afEy03VKRaYfBoE_9X9oEt8aiNBGaleftoKQfEmOKOrB6PXs7xdQPRpsKJ3n2i1ajqTqqtk0ugxN68rFdm15gvLq6FpX0Wbfr1DRHEi35q6nB3S5UK5O0JvnmbilcXlkH0gJcgZkyS1LX4mCjVyy7rsWhluZ5Nxu0Zs_qReKrOyZolyQ6E7ysPHEf8sTqsSIPxvdSjdcHaAZqBVRDhCK5TdJ3sXHggeQtXdwH5iFf-J0K2xH-WiyrJfERAqwpsXqMyIOq1qXDTE8ZhdtVnZsMc97NZS-oVm_A6MB1Mh2r5CPMzHRBW0AOzaWN9en2dmPhvFPS3Bw_u1r9u--eP3-uE916w8SBgvCkhBcD-O__RUmhiztJ7Fy-O3Cmk8icGFRmTgzls1yf6G4h_luDDKpz3kN9Oo7zzIPaR_r-pjw0pzMXjt4kaS6PjGZXRr7oabadlWlcK-umml9_H7x6cSnL4bvYeMgwOn8f_H-SBeHA
Screenshots
Beitragsleitfaden
Erste Schritte
- Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
- Forke das Repository und arbeite in einem Branch.
- Öffne einen Pull Request, der die Issue-Nummer nennt.
Rechercherichtung
Lade zunächst das bereitgestellte PoB und reproduziere das Problem in Calcs, wobei die Arc-Socket-Gruppe ausgewählt ist. Verfolge, wie Max Chain Count die sechs zusätzlichen Ketten von Pact of Beidat verarbeitet. Als abgeschlossen gilt die Aufgabe, wenn die Berechnung diese sechs Ketten berücksichtigt und Arc's angezeigte DPS nicht mehr zu niedrig ist.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- lua
- Bereich
- game-dev
- Issue-Typ
- Bug
- Schwierigkeit
- 3/5
- Geschätzter Aufwand
- 1-2 Tage
- Aktivitätsstatus
- Ruhig
- Klarheit
- Größtenteils klar
- Anfängerfreundlichkeit
- 65/100