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

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enhancement spectre
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描述

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  • I'm running the latest version of Path of Building and I've verified this by checking the changelog
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  • 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
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K2UtpdJ4a9Sv-_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

贡献指南

打开贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

调研方向

导入提供的 PoE1 build code,并比较存在一个与四个 Raise Spectre 条目时的计算结果。跟踪 Raise Spectre 和 Umbral Army 如何被计数,包括 spectres 的光环及其对防御的贡献。完成的标准是四个 spectres 都会影响 planner 计算出的光环和防御。

由索引模型根据 Issue 内容生成。

评估

技术栈
lua
领域
game-dev
Issue 类型
缺陷
难度
4/5
预计耗时
3-5 天
活跃度
停滞
描述清晰度
基本清楚
新手友好度
38/100

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