PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding

Raise Spectre only one counts, the first one you add.

Abierto
#9,246 0 comentarios 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

enhancement spectre
Lenguaje dominante
Lua
Estrellas
5.4k
Forks
2.4k
Merge medio
1 d 12 h
PR fusionados (30 d)
26

Descripción

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 behaviour 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 behaviour in-game?

In my build, I'm using four Raise Spectre:
Perfect Forest Tiger (Haste)
Perfect Guardian Turtle (Determination)
Perfect Primal Thunderbird (Grace)
Perfect Warlord (Vitality)
In-game, I have all four Raise Spectre auras.
I use Umbral Army, Increasing the number of Rise Spectre increases my defense

What is the behaviour in Path of Building?

With the latest Path of Building update (2.58.1), only the first Raise Spectre added counts; the others don't.

It's not just that they don't provide the auras, but they don't count at all because Umbral Army doesn't increase defenses as Raise Spectre are added.

How to reproduce the issue

No response

PoB for PoE1 build code
eNrtPdly28ayz-FXoFSV-xJZwizYcu1zSwu1OJIta7GT85IaAAMRMQgoAChZPnX-_XbPACRAESQkKnacxA8yMZjumenpfRa8_L9P48S4lXkRZ-mrDbJlbhgyDbIwTq9fbVxdHrxwN_7vX4OXZ6IcvY12J3GCb_41-O6l-m0k8lYmrzY8vmGUIr-W5fsaFfsVUN2ItBzJLD0Vv2X5YRa-2niTpbJRHqet8mAkchGUMj9BvDuTMjvNQvlqIxJJAa_HIk4vsuCjLA_zbHLzasPeMG5jeacrHZ-evT2_3DBEEcg03EtEUbwRY3hxIfyslJMc8DcKRyLM7jYMX6RhXFYdgIF99_LiRgZlLo0YunUqSxGKUmyfZmkB_Sq2T6S4nsidz2OZx9tYNRbJXpbfFLLYvoyvZX4UX482ttfFNMnLRD4LqiOR38qi3I3z8FnwvRUfG3jOEnEv84tSlEYBf15t7AAziWvoeglzI5IJkNo2uel6W5bneDZfAbc7yYtyX4zh5-PgoZcynILQLct0bI8y_bcL6CyXwygCSsS3ci-Py72RSINZw2SLd7b3hOqnk6SMb5JY5g0Qqwvi6CF-0-yqfJmVItk_u5jVtQh3HdPdYo7nELYcLpvNVWcLH-JytJsAjZ_QCsIeX6dxKZ8IfJbFRZauMb4maOcQj8c3Iml1kZm27brOFqW2w73l43sATFxKLMuztmzT5jbt5IxJkoBO7dXDc1nI_FaUcZsYnfX3srEfp3Nz1q9bO7kUbyMtHecijCcFqIlcFlM8fMvrgj0VqdjLihlXEeYsq3smc1DZZQvEXAFwIYMMtPxjQLCNR0KexJHsX_NR46gAHtubp41jeNG33mLEjLMty2Iutwn8tZaCP6F756Du-9W8yCZJz5plQ81y1i1Sv7drdkrEvvzUUD_uEoStmtzu1DdpQ0KsJUL_e6tmN8J9eZuhblhNHKUXh0dnM4PpUtvaMl1mEwL6odNgju6LOBDJqfgUjydjsFGX4qOcNejYjHZz7_WoTEHVdQFT5ridOuUgzuWTAPeyJHwa4EhkRTek3W0PUE5nNT3HWeK0BD9i7eM0aLg7y_BepbkyAk1nZ0kLCHIOkojelZ80fAmbOVvM6tdSJdR9HBHd3rVMq0bvp0CWt0WWQZ1IGYwOwcM_F6Xsp9NnbOfZS0mMlZskdpdhXUBh0o2_DTFPKcq3bMoIGFzHcd2lBnMx1Yi3xZdBPZJqw1Tm1_cXo1gms9HZ1OlTv-7bnrjpA6oI34RvTkA357VbXESSXoNbTBeXgI6bBQad_pzIw35G67E9vBVFUz8zk3nL6acBmqTrlggJ7jkAhHIubmBmd_yT_YbRT_JIuJ18nE0aRtP1-NJh6Pq9RlFbGB0DnstwErRMGu20L9NIbjfJgo9zY6HmSjDoaZIsgu3U8ztlKYKP-1l4PU86cwk5kuRREO3-XUxubkDZIFPMIfDMLbbUekLwEDccJ8daXfktsHVT3J1lRrY3_lnlefx8pe_Qu5E5iPmWCFlq9vuPZVZ7vonVM3oKamMM5kLlLk6zhr3Zcjr7dwDxYq_gT1XsGfqeZXfQ-RGm8IrH1QYHabWgHOQy_XzfG3-req8Ghmk4yVEcercxD7Gomct4DDq1KPZFKYxCijwYncBEv9rYaDwdiCTxQQ1gaVg54O9FHou0JDCTDwopFiL-l9sqh4q_LnMpDVFLeYA1plk6YywwKXevuaZ4tfEfixHX3bS561j_3fyPxTlhmxwKHXiiBGKdTea5NoMn5nFibxLiUHzixIQn6lHC8clzqbkJkbml4BziAZxtugSfTNuxAItJTHiCgIDCE3Ep_W8rvXocIq2MNAsl9Mth0CtomZNN3Qvbck0X_xJnU7et27Rtl1EsZwRatBnf5IxhzwgAb1LLtNxNCwJN-Av1bawJf5lNXWcT4guLbBKXM1vhsTYpdThSA-KXTU4d29xkgA1aYZw78NuxgDqOCW9tD4u5y-mmHhL3bBMQuCaB7nBmwW89cEDDsDvQBQ4jAvQUHDhoyibwm9iA0gbT7UJ9i0PX4KcHnbKhO7bjYUXPgUaA0tAg4cSD8VNEyR2uBm5C254DAzRhTBy6aqpivum50A40bCIRcXh6epkFJnaTucQDSJsDWZll4lvq2fDHhq4TFzyaTQ__UA7D2LQgUqSbgNrDdmyEJDC9mwRdUSAJEHQTeAh7AXRA8puMbeIsIwGw544Ho4KhQRehc1CPwjCAXha0TLgHUwCdgylzPYYkcjiHeTOBgByhFBfCMDg2ZDMCAyDAbCZwILdgnmH8ZFPzMpCRQpcsilRzVCPwFybC4SbbdGFIwCfQUc2l3LPwHXFM7K7jKNpRaNulKAgmDIsDa8CwqAW_gejQW-iJlgaYPBgJsCZ0xyLImpQwnG2GNAfegUkwXRgaAxpykxBoH6aHOTboZL2CgHxvow7ADIfI73faIuFsGCUIdGMpBLxklOfvXl6dn6gf343K8qb4cXv77u5u60aUoyySn8AN2wqy8fYN4AFN8KL4GCfJC0S1vQP_dq9_iYJPn4OxfXCR2Dv87ub-7PD3j-Z7uTviZSlt_6c3t78Glxc757-ws-L1zV28d3Qb_XztjRk9z1_8epXd_hwcHfgfPju_kP396Nfy_affb6-8o4NfPtzuv7dfWO_eZZcHhxn59-2w-Ml5MRmd3I1_v_ucXTLnavj65v3pyfv3J-SYnr65uZqUV_Ex_XRx91l4r68ufrn5-frs9W52df_p-qdrefXenbz76UU8-e3DVfzx6Cj99fAw895M_NO3n08-3Yafb37JX1_H9u3VL_Ru8nH33xPy831O6ceLOLizzPfBr8Or_b07Onw3FJ_kxeHdm-Q389-_vw3ANnjh66uR-HX4bz8Nd_d-3vU__PvF7vgnGt05--Li_dXn9_7r0fBs3y5Gd69P0713w3c75x8PhjvDdOfi-GB4NxzvXGS7xztjvyQ__RyM7Ou3-x-8u5tP7mXshePD1-_unOEBOWaecH8d_nZ28PvbC3Yyjq5fqUncrmfxpV6MKvSUVk9GXMpxQzOqn6jltFF5WM-d1VMasKseb-BDrdZVz57VU3qyq57VwIcKr6sebbbr1UHsw3rEnFVUSq-rotMYMCrvToSzekp9dtXzGu2Ciq-qvdxuzs5L9M7yGAxVhaN-NkKQ0EtRlllmZJFRjqSxk2ejLL2exAYEgmP4hQs22jprI3yMoQlGQeU23ce_V8eqqNg-Tg_FGMQV_IqizEVyCSY_2T7TAo1WXrdUbE_bgBq-rCrsHm7dpNcbRhyg2pihv0BFcAyFRa0biu0AnOhQxUgapqYAWgStbL77zvoeV1ShL0aZGSA48rPUg9-uR7-aGOfQxkeAhtiyjDJcKXpmSugGnkqGlgst0rAKmCtMbdIoD6KmDf3eiNMgl6KQoVFjMRSavzON0FD-Q6KlJFJuxR9Bo_ciQRpdBNnk-emjkT-VPnPR9BsgRZso6HbVNCHm90aOiRsgie4_jvBiBOrYyFLjPps8mjRHcSo_Zrkw9iU4S3ciDzEX_8wkqht5KpH2Jnkhx3EZX6sV2iCZYOC2gFbo79fEshfRSmEq_iEWEgtDuj-QWN-0sVeR7nNa-29ZBamQ8Q_UQd-0esZMxx9Im29aioA4FvnHZ-5wdmzT_iOcnW9c7zoue06O-UuZbJUa_QNN9resiFVmdT1FPHtUuYyXaoOuWk_AceCPvSyN4uuKMvrhQpbTVYVpidr9W2m-l8fpzaQ0UrU5GvOaMc7xSXanN7P4WZZIAeMv84msMyyLQXDlHSjQ3mqwEP4sEYEcgYzJvMIiUzm-by4mppOxL3PQQ-YKoAcrhH0ggYXyYHSBq7jFDIKs6l9zhbAGYqs6WG1Qrus75iqA5g7j6WB6wNS7p_v0bDzdkox7WCUwoyLGXjYB8yCTqEGUVU23F-5ngJRy0nfungCLzPIEMFzjfkprOPXzcG69O2j1AM9QrU8nZgljog54LF_imPo2oADqbRx1fZvM0rudQ8GTGY2x8xX1p1tepqMwp7sxO4GqzR9ZkpyLtElqx-zBDo-iQXNnRB-VUcTXcfI2UkvgMEFqrXlugl5uTzWsUsv6CX8qk1EYxSi7w40cWV4eyvHl_Q0un-6cnGyoNztJ-W4ikri8h5fF9PBLKCMB0gplJ_rQTZrl4-lOzNoOqhYqZW8UuoFi937_7OIAFfHclvBWhUo3NxqquoGr6Ho5ukLeshuq0CiSDDdOSXEDhosYF3e4ESIRPnZUH9zZmfUP-h4neNAItySGdbtzlfZEEhRqGDG6GmA-02rrgwav_AToZn0KiXgbxu-6y2hq9_U4pmU4jPk29eNhkvkiIYsKadVXtRaHWM9FXMjq9ExVfBqnuB1H9_epJ4YUe-nFf9WEsaiNOcJc6_WPaZPHJczlNk6odk7gV7u7Aer1akS3ejvCgzFtLyZsoxdrDPILT8-fi6YvNYYvIjaq5p9KcHbSeCxKeTiB4AaI1Jyc6pUxe9djFiqg2oZ1TMN8q__MxKuN3USE8j2ofjymMJsFVWzU5T1moIWng_7NOtt_CpXdqRO-ouTTr8Bq1FxBevoctD_DOLVJ9KqgB7Grmh1U1m-3nzCu5xjWQSKL0U4K0ZI6tzwbnnphiDQ0qlc9BjqHrGPA7Vpfa-DvBUR4cRFg0NgeOb4xmq96jHweW8fQ56r1lKm_tA7_-jrt7-1B_OM_LZS93Sy8N2qU3ZJH_hCDRhbPgqLgmch1TPy85k25N_CnKCFq__mhN6VeYVL3Kk0ygXdn9PesFGzVlso07OkpImS5tzXrznZ_Ij0vWarkxh7UTMr7JlmmRcuoME2NTGt3jHeunQXjtb7gcHfu8IioDHfzSanQt2S0emk03vaiwbT-WTIpVlHiYRf-JDTZy9IyzxJAuY8LMPWhrgX0mdU0WlX7McyiZh5DuMX9fIq3RdkzUjEPRCovJvl1y9jrYqMq70WgFqYVJGlU_eqaJEvxXG0OpijUK2UtpdJ4a9Sv-_LLA7wrdM1DiBU28UgmY1l-jQiP_JnSdvMpt4YX8A3m8pYTuvKawtoT-jr0e5THuBYV53zJBi6sXC9HPN3B_jK5ikrCT6Uo62XrGcWw1KiLe-mWJp7lOqVR86sPXs2aXvNvDF6VGrq43-AbeFYMflZzZXCRlcWfMVP2HPR_N4mDj0oGmoS_KKVMoE6_kK5Ru4PmjVYWcJr9JZLPuUjxKgmRJK1wCYuNuryP4lZVFVi3c9ds7GtlzPAWw7F44O42Svso2Eb1LjU6q7JoqF9Ch4BvdJsFD8baKu4x2Eb9N_Kuc8BNtCs0B_T3Vv4pVQchzyVTlTp9EB_ERWmoCv0YrQKpIJbJVd3gooTYozIxf7E1rS-iVSriqztBhsEoaxkNLDR0aT9jjbvAApVtWm6rZ8195XGfZrncn-QPVA2WG7MXvUZ_XG9pnsGt8FiajfdcUP6rui1nsszjKJbhbpJlLddl-saoXvVZ8pvD1rX21672lXnxQN3PsQd_VXq3sRaoXhjTN724cYZtFRu22_16K6Ew3n1RjNqroPDT0KW9FkCnODoXP-saD-St-llvttNb7PDn8RipZKhseKDwHgGCVxu-Te3ActSNKZHpRZbpUmYHLLIdyrgIGA2lRYMABv4JMaDBup9uw0N0e_U11RqhE0rfowF1AMyVNgk5kTLglkNMGXq-jLgvPd8iGvhcimQMPLynL4FR5NA7AktR7sdRJHOJu9Rr6ut9fc04elJIfbmmVi6quFYBCl9zf945ELG8_9E43zkfDs7FTTkBDXmWx8V4sJfH4wKU02t5J5PBVRr_PpHG8f6PhkUd13eFKx3qmDaxw8iyXRiHKah0CHdDl_qhdPHqXeEy1zZdHtqBT00eCBqZbKA6obYp_mi48Di-SeIgLosfDTLYy_J8clPWesEAfyPNSsOXoNgiqIZvqs3vP7Dvjb3p0Qp1NZehjZveIGrcjeIE9b1IjA8YPoMgDKi7-sSB3TzIArxVfKyr1np9wNjKvfnTkSiOPM1CtVm1Ir6R4wPI2NZ043SrBl1Zg62swVfWsB7WeKkksM0rtM0rV2-O310NBx9EGYxk_j_AZMX_FsbwXg4U4wCBgodMQyNOKfFMk0jiOUy4IO4BtUzqccey8P6cwDUFj7wgcqOQQbHvm8A3kRuaDtRpM401OInHMfJCmSHXNFjIbE_fWG-ANfR5gypFM-CLqmCSYTEwXqU4wOsCDWa2MRk3oMKHuFPYOIrLiuOEYgiA9-8bWx40AuqpdlbCvY_1Cs03zzxsgaK5uInhCYQV6AJ6slvVOA6LSMhC02Khxy3JfOFZocMIk9QzI5eDqrFMFjEWiTAKHAeenYAAv9CAhTRocw1vqxpqLVQFI3TPKhkmVpMdarUSlyMD1DHEjAOrk5EYX4mdkb-REuEL-OAwub8ZKc1xKsMYKLenD409ZATiOpbjmjb3AkcwaTtByCXzbMvmgcMCMCvCApPqU-qJMGCMySD0KLEcKAf7bc7bHPXrXP4O1qzFFWzwnyAXERD8vzthWBjcqI55GdpzmL0mBlSAiWu9N-LCELr3hr5fpoUPql-MBVRrIzWugYAlDLJ1glLnvDTPDZYAg-OR1Rh-oGgKj0GokiS-Rkdh0NlPjf8kuxcJqJnOaudyLPKP6OJ9Uyw4V8Pux6TWAiZ9H9_GoXGYxOMxqKoTvA6wm0-pL6XnETOQ0gcPKAyZAA-I-2EYCZ97QOGAMxY6lu9JwUC7WYRGwvIEYY7vuqLFp7bbm0_dTj6liyYWuAb8vCafFo9iVLPJqE2fqzejMmTUHai0U0K05k9KUKadPFitZB_JPEPPtLPesCiQ543zSTHqrnWG3nmMSndPxUh_Mb6eq-H043x7oY93kOV-DFRMDbW_FMwRBHnlAjsdcteS3OWC2ZRzWwgWOXjDoBmaAQ98y4vQUgO3SwqK3PeExVzqWi6YcyLFnHq257w74P9JnIN_ru7QM_S3edo-H3ASJntl_XYaP8QR2lFjBNZanQ4eo9cKgYAxzkJMEuRoaZvDhEjykVZ3ETmdleRU7XT5PQGVnITUC0GdMGq7nAoSCmY6lgwjl4VMOmjnIslsN3RCYXsehWoBIeAx2YQt95a_KD0126xLT3chPTGGB-EG2wSiH4gbCco6j3GZ-CFJbS-iPGQB4xBsy8ghFoQhti8ij0KoH0Bc7jkBaGwi3SAMwHUQHuNS4ideLCu0vDZJnYH-6smPWtUtC0fmtCDEABoUfb1q5fQ4LUrhx-jvY8CL0W49AeEA3c1sgiEwkhkC-1QHCaA_YSZydZmkagTV7_qU9tqUPt05PN4bvMlK9ACMRW5afe5-L7-HUbStoccgzpOU08CzfN8nbgA-ujBJYIXMjCAWZIFlChbYNIKo0Am4bTsCXDqL-Db1_BbNHfrX9dq-x9nEWsNE3ZohEkOfOsXsRvGXc84W8V1978GciANBroFIxtHEz-NiUN-5vEBlWk7kSB4wGxguDL0Ak1FgZ4Dzgsg2Ofc4xIzgnEWmBwU6cvR8ZlqhtKPAng8Va_lWDl9bovey8ThWl6zDnLgWtU0QyzgtcBIDeCfHGW4AA_cijPOsVgBK9HMt-uh97WUp9D3X4T4K0BBEKoWZH44hPJaDI5j-LI-DLzazC2eFLM79xGATRiJOwIRNcCMz2I-W3Pt-ELiBZ8vIZzwIwAsA-RfSjCLLCcHmmz53iPBtx4bI3bY8sHSRwJcMgvxgPlqrThoj7Stv9Udj98WucW4c4t_27FDmNQXSz9IJ5vauBZ5rNqI8GxtDsH83N_D0bgITkz9ZV5LFmTE8ZW4c56DYz4AtysHwcza-LzHjfX0NrTWZ1rXtgEcumPNQRoz5IVAs5JGgkU2ZExHpcCc0XZtEYJokECkQPjgBzGWEMkbbhDIXEur8xfmL3YbqtGk7DWJ3O_PaS1egqOWVGqvucagqak2E6frBvoTSNGuosArLl89hLJwrtnCuTkUCYnxfZzFPJV7Wg0HGW5BFmLOKQ5pzxkLbtSNh2jBRnnCoy8BRC0IXnV7OBHgWghHf9KyQOG5ArcCWmNx0POqG1Izm56zB0TBVjYniVnuijkSBR0-1gcIHOo3dLvMYWQusmC5BQ5TdVbNzN5IqmWToD1Lo_JXACpv1b1LdVg1KCXg3u0sHLRmqAPVVTj9YHnJFK9nVuuRoN4kBEyY3Y51TVxlObEjjKf4GiQQyn-4anoAbNfwESkddgzPNmqfh4AKkBXRTYrwWamqrOzHA4-Fu_bAL81B9PShOJMj3FrUGrUw0cIhFB81rdRbAMMparBz5Lnhj3AE9bKKz5ksP3F1OIJKzuRmBS4ZusAVsTT3HF54H-pqZ1PWpadp-2PbPrG718wL0dEsJoT_d5G2duJpqmikX72RDrV0IbampiizqKGU7te92ZmR3ZitD6GRXd3Hp_3RiVs7YFsQL3e7rkRGCXkPP2wHMY7WBQKu1N1LkYLmnAPkUyTeatX0ip1sL9aoOxGo2fy_BVTjLhQSPBgIFVDB6NzBqOaf6_ZBfHRccsXku59YKLndtz2pxOXE9EklgahaaxIawjjMfGDmILA4uoHBkIHAlE69ht0GpMxviFXAKpRcyz4n8-chvsTdyPsfhttuPw6sQUDF5Vx0tAVZr1UrTbIEA_EC8FeFEJQTQQs28oKFxm4CyEhBWXKXJJPh4Xy1LTeN9YZyK6zgwzrFq7UMNfoHXyPxH8tNNngHSZoqgBYL-L151pDa_DPCLecpf-FTizXa6T8o9w2uqtI9R5vFHdJyXYExkVCH8BqTu2dJ1xF6QqdYZmsNMgE0BlfXRUFuiZ_bEtli3PXHAP2lKjWm5ELATQQPhCR9i9MBjgSfBHY04dyPTh3AL830gRcTywGBYhPmUsoCazCMBA7MGfUNG-YTfwjGw64OhwLQB8MiHLE8gUFeFc7m_qXjRlhXZRSvSlK-WBaED0lq5rf0Yo_76moFfesOWL3OB4lUlBqwld1Z67iKLA3hwH8EP3FVShhdENYQLyrkqVzFAs5xZuhyvCGu-YMu6ME1D_GA_dLr-bmnruRpuT0lxFkgKhNj3QHFwTUF_DsBsj2UuClA50jgUk7RM0KmuLRSzSaeFsj1nJl9YsVO-sGZTvIjvRxFIFIQTDoR-kXACEXggT-D1WUJ4kjERRDSMbDPyLQa-GfEtGRLfs0TAzfXFy2taL_TPmrGH47alCwxEofUvrmvPfP34OkWXSO9kmMaGlTKffp5PraPPgEDjx3jvajGaixIGP3jOAzbvljRdPr09ry1u5mJxm0qUY3ZZUz2D_6wKqS_ELMoGHygrro7j7se3ELroLS16pxRw305RTMBGg5ZsMLxLzcD1LcwFR6YIqSRC-m5gh5FHXPC-IvjLHdeE6CMgoR_43OSeT3kozcghUszn52Zmwm5aBT6XDGrs8dgZ4y6_2iKAdlVp91nJvY6U8SQTxM6K9w4xQQtyNB5PUkzOq-gWFDNyWwSuLHGqwFn5KBPkJO0z1bUWYZjf4rYUUXNP0BzgUzj0Sfy3kDO8NVNfNLR93woiUHFOaEsZcYcR340cKzTNkEtiRQHxHSuQrueHvhcQy4mkDczhmaGY5wfW7ZX_k_qi5iIp3huB6i3KOkRDRo3LhhRjSvoMsGfgSrbWeokEPy9inDlR6PCAU_jPsokvTD-MTMfEVC4XEfy1QIQjYoWMuo4UrhNx15edEwf-XmOq5pJfU719pWUDBLX6NCPItwADGE2SZECdmbjXr3GnHQjUYGH4FE60EVVS9geKCyWLpgCDZJDxM4lXhEIQpGIa3CWGY215C54QIQ9DbhNqhSElth04zHS90PE9afuObznctCz8kiFjFrWhbhg61AugtmRR9_YnPmfoTzCcUjTBmAp8GnP1ftlzFdTNATU85w6wH4hpPbD2s30rVq-rwf8kJnrhnNNFu4kkACpH6A0un5yJiZ725myLUDg2w7ScBGPohdJxLeqZvrDDAIItFlmCcpNJ6jLL9iwL6rqOLyAwCyLhk-DB6n-HecSkRGsG1D7X_0S4P2YCtP-v-n61VGtZ-H322c5VbatwBh-GJT8Qa0X-oTMWmk7-myx9gVu7U9zHBmxVLZoqB_SFchEvM8SKHQazWJTgk1Sd1k7vXz_vRtnCvWo4O5cjkLxwcCTF7b2xK5OWKsHlUD-SuCoPsbrPOQkF2FeGIQgJqOPYrgmKBjQHoZRLsMIhd4UATQ4Gm9vmYKiuO34YWjjLkl-M46RdlDmwfzlSenqmIPTZkfnwYfCDxRR3alUN_r63OLK26LI4YBWrQSt_-8h6IX_xHk7DRZyA49z2GaCKLMWovT2MgdfvE0JoAJ4A9W3fM23f9ELKoigMidr-j_4C2CuLi9CkoWeFoPCYlKYVzSu0DpfBfZLLYHe7DIR152a-nOuwaFPqGxnkGR60eJ_dDY7UB0GwM1eT5Hred3AFBbqaUoA8m4SCX-25pu8HJg8C04YnKxJQRJgfsdAU3A4YAR8PgjUZMIu5ncR32p4D0EqEenXroTA3cgFXaMDVGTQ8TXEpU1QnQ_R_QCwpaSYKAD-mZOaSBG7Lu5jVjnDZcScNYpyjD9nYv46jshhUtkPFVGqnRaycXXBzlDmh7uq84UocrdyjDgzmTwx9zWCN2j1k-TWehW5J8rEvP7X8Es-S8I9z4Ap0UJgtfQjiQxJENvgmEVgPN3JtEYWWGTHHpH5ogjnhtidxp4fbHcL_wZ4_6U7kfjkxdhbNwW4u72ZnqNT9G8WcTgUJEUGcTYpUFkVzOnzX4lHoOx4XlgS77fgc1Cy4gR54gYJL17fBWQSpsmTghFJIy6GOT3wQapOBoe85HfxJ02EtmQ7aPLe3c5vFYbW58aKcpOmXVK3uMtV6muE3Twa7oixl3qVdLcJAa4ZMRhyUKg-jyJTc8hzfjWTkmcI3Iy5DZnmhz4kd4hfkhcUlzAdxCUTSndp1Li5rfQxIZVuRWMrVK_ALFHNq9VyCM5wiffcn4B1TulqtOs5zqtX2ssaj1SouuhsQ5T48fvV1FenirNe5xJkSxn4urrM0AkS1RB8k6JUO3qb3n4yd8SSRLeZhIgIXxzN56OFJEce0AuYHNmWmz4RN8OyskIHArYrEpBQ_Y--6zBXEDEgQcNkd6Fl2m31m-1mnG7tB9YhyhBpm6jnj2nEdujXOZSzIhTXvL9VL18RctYm1ZbbhjcxvlWlEOY-RvYJ7teqtV-b0yWdMyCN-zVSNs7vT7hnVbnZs8S--s2j2bZWlh7y_e3mRZPWHt6afLNjx74tC1BucDRhT_YF0U_8886_OT15t1H3rgYM_Aw7rGXDYj8ehr_-eR0SeCxF9LkTsuRDx50JkPReiJ83ac0zYc8zVc0zTc8zQc0zOGvOiLy9dZ1YWY6BrY2BrY-BrY7DWxvCYuWhcrr7OhCxBQ58HDXseNPx50FjPg-YxM6Xvm1tnkhZjoGtjYGtj4GtjsNbG8DipycpiPXlZgICui4Cti4Cvi8BaF8GjZkEma1mRRfB0TXi2JjxfE95aE341_VW94xAKKzT6CKTtkTmA2beb8dUKcOJyZnfA63crEFDiubwDgX63CgF1uNuFQL1bgYBRx2YdCPS7VQiYY3UiUO9WIsBvrXYhaHyHtROBbbMuIup3KxBwQjtpoN-tYiPCSdcQ9LuHfKyTng3JJ-4q1tcgDWGndj-QhnxTsx9IQ6Sp0w-kIcWU9xHjRn3WOyDW37KaEo08KjBrAK5sUWfnGhNErX4gzQly-46r0TNvFYzOrjVa8foSodEK7edwNCCcR83ROjZObQ56Utpm3QyFark5gXStptljm26yG1mr6Ud7RY2Zttdq-YlhRqN9vlb7j4_qG01bT83MkWfI7q3gVJ0jre_3VFlj_KWu5cS71O52wltMQF9mWdL8XDbei6rSz6A68FJ5cXMj07CuoC7fVNfq6uxrejOp-zmOi-BXfxJFpxl-gLIocW3o1cbw4GC4d3n8flh1qwmirkP9VX8H_OH3wFs1ocP6RNiG4UOPpUibXQKCSbWKbgRZkoibQk57rDLD1V2nifpSTTHxC1371cb7WN6pl_uyFHFS9MJ2FJf1x-ybuBSe2bs-mD6IPMhjVJxNRMNPMsc12OnbPqj2s3JBd3RfcGkJb4joRyvcxdFGpc8n461QuDzVCwueVWsjwZJ-Q9HrcG3oqqz3ZOPn4fFq2GIBUUr8dDx-tSeKA12n56zr1dk52gTBJBfBfS8cavt7G14X9QE-y-IC-b8JXZX1ouo17mOeo6ou68VfMhD3bWhd1Af4RMpghPd8thFMi7MUqNsL0zCRO3GiFrXauN5kqWJ2kJtphT4IT0Ft6QX1OYRvcZW7ftMH02xl8IH01OW9aKW-_tIi0_QrL6vGIlLRBlUlvejaODo8p42ab3oqtTkUH6ZfTlkBqtdF28C6rOcU1J9SapJfl_Uigt4CMzf-qrCXkCh1q7ZuPNQU8y_XRqiudn6GfmXh9TP0Rp3-wEvWc1n0JpgKBufkpSrrBNcXfHdBX5XqvrD1kKDErYcBBW89DJdxqnZu90Jw_sAbOV_qg8wgq11Ic7a6Knwq_DANwSguZfIVGA5ymX6-fzL4WXYn8976f19G6vL4BQZg-mo9XLgpqf3xi-WDWtGrHkqkPy5tLR81UK0I8KaCdJGO0y_WRwS2_Kiv09iJSZvw-FYeSZGUozOIHtZDeKq3xEPPVoxzNgWduHDf1-RGpGGN7e1jXPVu6kGIDkh3J3ES7uNhlWKtXqqNdQ08L7frEPDlZS4lBlFGIfG89UWZYz7zc5aNT6YfNcKnn19tvCAW28Jr4fDOOZVExRe_YHppi1AbT_YQm2JQ3f1dB9X6mwx8KRwO9qR6eLl9JsrR20gNGfjmX4P_B7AsCvw=
Screenshots
Image

Guía de contribución

Abrir la guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Importa el PoE1 build code proporcionado y compara el cálculo cuando hay una frente a cuatro entradas de Raise Spectre. Rastrea cómo se cuentan Raise Spectre y Umbral Army, incluidas las auras de los spectres y su contribución a las defensas. Se considera terminado cuando los cuatro spectres afectan a las auras y defensas calculadas por el planner.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
lua
Área
game-dev
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
38/100

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.