PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding

Incorrect formula for bleed stacking calculations with repeating effects

Offen
#6,470 0 Kommentare 0 Reaktionen 0 zugewiesene Personen Auf GitHub ansehen

Dieses Issue hat noch niemand übernommen.

bug: calculation
Vorherrschende Sprache
Lua
Sterne
5.4k
Forks
2.4k
Ø Merge
1 T. 12 Std.
Gemergte PRs (30 T.)
26

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 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 is the value from the calculation in-game?

Currently, when supported by gems like Multistrike or Ruthless, a bleeding attack calculates the average damage approximately as follows:

$M_a * \frac{ A + B * N}{N + 1}$

Where the base damage range is between A and B, with N potential stacks of bleed, and an average multiplier of $M_a$.

What is the value from the calculation in Path of Building?

Because the the damage dealt is always the maximum of the stacks, and we know which hits have the highest multipliers, a more accurate calculation would be better approximated as:

$M_x * \frac{ A + B * \frac{N}{R}}{\frac{N}{R} + 1}$

Where R is the repeat factor, and $M_x$ is the maximum damage multiplier.

This is because, of N consecutive hits, only a fraction of them will be from ones with the maximum multiplier.

How to reproduce the issue

Suppose an attack has a damage range of [100, 200], can stack bleed up to 10 times, and is linked with Multitstrike, which provides an average damage multiplier of 1.22, with a maximum of 1.44. The current calculation would result in:

$1.22 * \frac{ 100 + 200 * 10}{10 + 1} \approx 232.9$

The more accurate version would divide the number of stacks by the repeat factor, which in the case of Multistrike support is 3:

$1.44 * \frac{ 100 + 200 * \frac{10}{3}}{\frac{10}{3} + 1} \approx 254.77$

In this instance, the damage difference is roughly 9%. This issue is further compounded when considering more extreme examples, such as combining Ruthless support with Awakened Multistrike support, which only has its highest damage multiplier every 12th hit.

Character build code
eNrlXFlv28iyfo5_BSHgXMzByDKbO33tc6DFsp14i2Q7y0vQJlsSHYpUuNhRgvz3W8UmJUoWJdJSkAvMzMAjNqu-WrqqeiN59N_vY1d4YkHo-N5xjTTEmsA8y7cdb3hcu7vt7hu1__5n7-iGRqPrQSt2XLzzn703R8lvgYYW8-y2S8Pwio7Zce1tPByywKNxVBOeHPZ86dvQen55c927rQkRDYYsus_EyV9AnMuemHtcM9SaMKFeNGK-d0kf_eDUt49rV77Hcu2Ot9BuzeVe0oDGNgugcQQ_rYgFFwjcjCOf6zCgbgg8Y-p4fd_6yqLTwI8nYHNNeKCe7UQpKhj35ujGpVMW9CMaCSH8Oa41wUd0yDp0DH_BNOrGgClJoiY3JFmUdJ2ocu1gLXMrDsLodQj9CWP2nKkhm5JaRHsTsJPBgFmR88TagRO1R9Sz5hLFIr6qtJexGzkT10Gnb6I_ewFNxELiWz-ibuemP6NVJd3QGvBHkQ3RMNbz-dFmdVouuDMvQZIN1ZTFhi7rkkKUIr4PTjR6yQta6URviETVdFNdx3s-9JyIvcI0ZL7xndD3tvDLKww-H0-oyxatlfSGTAxJ1QkhaxV-yayqEpEbqqlppioVxlbsulBk8nyFHdljIQueaOQsOqY4bv3xg-Mt959CiKI0ZFk2ZU0rTOKA0esBz6wetZ04nCHIhXl7ST3a9sN5SMrmOtIbFkA9jRY4xA0MfWb5UIIXhJAGEYsLRE7Sav5CkRfOgJWnrGRNylBVm9fZcdIvS1cZ-HUK9WBMKEfZ92O3JGU0L8yyIhWn0Lc8JVEL46bDvs_IFGUNXp4QikRhcfHmVpB1eHlCzShW78nHQrDZM0lBPDm7mVsja6QhKbqp6IqqFEq4GU1Dx6LuJf3ujOMxDGq39CubC1SIoRcH63AUeVDXipglxSisDV0nYIV8mi4XlzvXfo08GKv9sJBRJNK6lMxppmprJjTWIVKfe9aMwdTW4d55QVLt8xOhNRKQpQcpiHOvB5eV5pmLSVO5zJSFCxsyL5U4nWeeITbUdWwXjFmjU5iV9mjEylX93HhK1joYifMOXou6wr-k2FWLHMuukgyYI0hENXXR1MjaMW-128zGWskVnXbisWA47Y8c5trVqDPF2nRSouKiz_PcpXy_KG6VM0qxVnTJBxrY5calclRVNX-iYb5Wk_WVIiUvF8sMZujAYLOyq5mbwH_E9ZJbja0ZjP04N8bK623g5HkTiKRsGmr4crHH7NhaGNuUNWsbWN2WNQEUc91KHM0ootbXjm8PWSUh1Tn68WQC9QX7vSwfjpOwJHBy06N9YzPxNcRsqQTH8XQZvzhy59SlBcxmCeWlLLGUtwXH-GUxslSCvLSI2TbEJVSFMYwPyTbGpZ8bYBrFE78urAMX1mmqLuqq0VA1Q9NFbS1bmcVuit__6rhuljssjIRkgS8k_CEkrAUA_WfGwN4QSW9oAJTVsS-oBTMRLM0Z6gJgy49GQujScMTmC0vDMBSpoZgGkQxiSsXgmYKrkDdsF6xAwyaBr94X_bAaV5GJaTZEmDhrkmkWzoBv_GeImxFuAYYlanKOGmai8ypb2O8B835MS-MvkJcScOLZcYB1aFmGXpYjLyZjunXGMF6FYYdGVLDTJcw9DRzqRVKyOxkyGlijC0i8pANmV13qug9Qi5PWZEez67gRCzpwD4Wi8cuIBBFR8NFBsoGLv24DxgSa5CmOU0iRaIYXwpiGADnlmRwe136qskr0uqJqqvyr_lNSJEmpEyIqJlzBMkokdVlJLnBnU8cLSYQrVYLrumqKBK80WSdiXTZ0Uf5VEzzfZgANay-J1CVFNOQ60Q1ZrnM8DWJVr6vE1OuaLBkSNCi6VCemaAKgrml1Iks6UCOVDlWiLmkw66xLoKpah9jUQCdRltW6pqhAo-hEV0GOSUBzSdfMOvxU5boq66YMXBqIkBWiE0AzoZ0QWVPquMsnAxoA1WVYO4l1TZIV5JWJUdcIMQ2UIkp1Q0XVDUNCGEUUQYgigicI6A3kCnDqCgETdQ3UA4tAJUUDN8Ii3QBBuBdcV0TQvi7rBrZAWmG7CVZrOkhTNdkAm3RZ0kAy3K7jokYBH6lSHTJQA_EIy3sHtQV3wVzeAPEakECWohWipJK6Diqi4mAQmAliRBEkSKaqgC9MGeyXML1BOZUgD5hY5zEAnShBi5xoJEJxBpNE6GTg1UELE_wtGdBFULlAuo58pikBrUyAg2i6CtqjowHDNEA3g2CPJoFCoCNBWVVHP8mglQQgYAd4TBE17CxNR2zVUMFs04AuViV0uwRa1XnoEU0Fe8Cn0AUQEaCraijYY7IGTtUkFTQk4Gf0FrpDFs3EQYqKfSCDotArQA4BDD0JIw8yiaAuAUVBFNxADTRwN_QtGMajWhJhVQZBALIhKmQMTuhIE_QFH4oyJHTu0OTcTlI8ghTMnYpIUnq2wW9jNr45uutdJD_ejKJoEh4eHDw_PzcmNBr5A_Ydpq4Nyx8fTIAJ8ng_KdP7CHvQhH9aw5PWIPhqfhxddb_RSU-3rbvbgTXVO8Mzm7nSpfm1pZr7k8-D1mNb_vHZ9r4Yfanbv2RnzaZ9Pvrcfddl-29HF6e9wY38VR3EnR-PVnusP6vSR6d7_xTQ00-dlszk97e3rcn9cMjiu_OP4YfBNbtXb4zPwWd70vL35Y7U-xGb15-N93fn7Qfl6a3J_DPdubjttMyz28h2QvvkjIadx-_Xl96VZ31zqac89Ow7vdcZPAZD_aHrfH1rtBXRa393et0gjMTY__RDVluwBlVHl31dt56MlnPb8p8fTtvvotH5Z_1Ktj_Si9i7756djh_vP_14_67tXZ5-8NTu6bfJTb9zFQ_7yqfuu2dGPn-J7t3g3be-ePO21QtY9Gi7BlN-KLLbOjv_0PyovL-Lxk_aif7cPO18HH-764eTj9_a03v75Er1Ly6-nH8W7x-vP158eWRJxx1kPXfEz53CA36F06jAgdLHB4IDrLdJZcaCjD-SITmE2h5Ep2wctqYwFh_XoiDGOcTIf2660fuYuk40xduzE660lCNzn0VJfNlsQGMXUVIG3MXhIDjL5gJupxMsw82LizzDBT-e8_xgPNv4qi3q1MXl5-LeOh9AUhUEJxfGfJ7BPNyTsTNr8FCuOVc70XmprU1dK0xuOJ7lxjY799KZSwbi0gfUlMt5cwTqLYv5xo3HrOpwA2dt3CGc_tT1H6grZVweHacDY34aiCDpdXqCiQBDNsYblyyiNgzoB-cROOkAPXWQWAG_Uqa8KJKJsvzYi7Ih-jcZ0QriKKHOG8KDIHerpE2z4Mmx_jHLOoza7lRoOi6uNcKX9nGC-f2qRi7z_zFLky0OIdsjELIz5WV7E7LFnYTqRq8E-WOW3_sujZzV4Zu_V9XKPO-f61Y8UQ-jwPm6qjPzNyt3Yp65jH1HvF79vpqdDla_v2jfx66HRwDLQbPUXq2IX7HnJf4_FjQ3OIfI2bWYqk1YgFY1LkX8Z4XJBxoILep5-DTLzJct1_dtWE3jtCa7Wc2XAJsx_rP82XVZOBKoZwv9KHlYa9GpfbiT7Z9X82gC3PTsFPaf5dXEd9yr8GeVU_sR3ypPnaqV8mnCjT5NQP9fuLTsnD63ISlt79_cJm3m2Y4fA0cfd2arhuoc7dWjQ848sr15vZXTxN6r5oW9PzsR5NvTL43J2quak_H9MYO6yU6rwM_XVixe-H1-u7p5i9wVMzz9CUv5ZH-C70vgz0RUuuGAv7P9hjhk_OmnD4xOfC9p5jUygUPS_KZAjwbgpUOh1-yd7MHUSkCCvX7s2SxwvKHQ_M722gEdRMw-FFDZvZuADZzvh8LPgHpDdkh-Xfgw5Tn3rIDRkNmLc6D04QSob03LgvmQNe3BXN8bGgUwTdtehrh99s-gNpqvEmyAKYN1XLxbksOxFbS8mzgi7hnhicH82VtppH6Bf16y8edUEy55L932ORQkcS_dhQJ378_-3Uu2eXrs26GgaXuQC65jOUhD9n5GdBgeTlLDvtgJYv0B0evpRXazThND6pSvkH_9LYn_EiI_XZ8K-GiAgNoLc_WFgR_wEzfokD1JNf6FYwF3y_ICd-9vRd2EtwedFwqKjmSG8gJB0vP43O9C4vg9UFZErixGBB4ke2lCCiP6xAQZDLKSw2gktSgE-lx7VcyDp0o-O9FoToJ5denbPewjIemp4xo-H5RmQ5p5hRTSRgp5I4WykULdSKFtpNA3UmTnj0m9mpeFJ35QlYzm3OSFEnF3df7-7mSvNw1hvT6i_wPlJfzfUGj7jrvXj2LMXKHF3GivDaXQnYbRodB8CChuis-a8smQnosdCpDYgtxQG7mmdhwEEMZ7feYyC2qPMLsjLcqaJw8gLiZPlo1_SeK-LP47HyAA4QkdiDU8nxPgvxOPjR0Wphn3yJ6Z67Jg-gWyKnAe4oj9SuHAh7_-RkRF_DfGYT8CPYfRKOVMszDLyl8_U5-CGpiQeNooXDoe7uTOEyTNhTRPNgBJeU3-khNFdgLMNRz70BnpXvNONXw1cFr28qBJoSHo_r-Iui9BTywVm6SY8OKRgrrOgBWo-PdfhrhPRN6f41RDfDwwz4pPdwmqmLQLzyPmCVM_5nFEefhMV-Yc-QfXlzUU5soKhAcWxfOXxbMM14-SGdxx7YzBkBdBrZmGIUQAH2MFFASQNw93vQs8pscLnKuJmW4bEbQKCC3fngp8Ub2NItxmCO3-M50sA5Hd6CO9Rp8lDLk6hrTSpipAXVgHfn2N-qtFK7txp7x1nClbI0i7CrEqQDA3fmLhNkG62pgqDsUpwO-I7505VNuBMtXy3o_CHWQr2SZI16bdzvJXrVw6to9NsnV-7Gw0ULeNCmnLPNveF6_Osm1NV7YF0F4TxLsYQ7fog6LM1irnkbJl5OyiHqm7KiPa1mG8o4kEqdwPr_FjAQsp2XXV5yqv6KfX-bNyP1YtAhXoe7h1SqoybD_70nY1usjbVkh1B9VN3U1iKTtQZWcTQqVylqtbVlttS35166isEkzNcey-qmj8pqqsvXac2TaByA58ULXrC8ilqmPqBt35rk92pJUcZOGvtu8NnCHfDPImcSYJ94Ic3KdNNtmy7fya8OD7LqNeeoR2sIHv0n8qxRWH7OXLJtVEtYM4HOGbvJvYxrOjE34CGl5zgJrgxeMHFsy269bZRZ1xkawbl1ps5Ls2C1JexvWbfxFmWVABS_oqpO-6yXbenE8X1zNmQ3NGT3Qp_xWBVSzp93bmEjaIWH4-ciZKMpX1nLMXYTMWQzaMzb5bFiSL6Ws9swA-Sp6ueNFzybHyF86W03NVZDih9eUhHgzw-0k1AZ8exI9CnXS7J-3b8_uTlKXPkjdTBQs6hk5CPBDPbZWmB8d4gAIQ8UPIqY9r9w57Tm52WEQdNyyFdjY3PI-V4MzvlUH6QAMrcDCv8kAn31mAh36zu2Wgki8OvVCH6-Kn57XlfMWDLg_Fzw_aNIySt7rLoGB0LIJgSzlTZg9V5LjTttKdja8R4Dtw4QqnRPiKwYRZzsCxOE3JXs9KxYJv0oPaUhhJyV7k501lmPmXlxa507ZSXk2--rTkVd5WKr6YRaeL3LypDPPsqwCLALNm3wPvlkI6cVnuyfoc1pXvJcEOeTMjKAN4CfUlfa9wEfA6GrEgu1MGqZkdkIYvsidrL-Wr5OMlC27CllK2JF_lyLMmLaX8uvBtioVqlL9TsqgtQSQtZVizF8HzzLytZBekY-yC-3lbKSdko-CC_WljqSThTzs_-Y79slIs39waMPliwg70wm8ibA-z_LWEUojJum4pX9K2Qnb-nFgR9x1_f2I7EMy47RAw8coj9F5MJnplpxBYvzpswKA_VhWw2a3tsPB0P3tIpIxBG7QqkQTlsXi1r2Ro-jgd_6DUyxzlN7YHgrHorOykpxBp9vmKM0Zd_P6i724HuPxFre3shPU69ewOfnenVKgXIuFXe-IJYGWKXednrbCkSBcSR_gc8lTo46un9hMG0S24JPfi6WTCvLn2NgthLk3TscDlvjuC6aQfRAL7jv9LADOG5PaVD6M12oKCs4vkEwW4YBB--P74I36JS28QXRcVWdUMWa8l7embqmr2jYR-FOC6H299Oq7tq4Q0TF1TFYkQ3dDTt19hEtpxoJ-DJITnK9ejg-VP3v4fe0idiw==
Screenshots

No response

Beitragsleitfaden

Beitragsleitfaden öffnen

Erste Schritte

  1. Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
  2. Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
  3. Forke das Repository und arbeite in einem Branch.
  4. Öffne einen Pull Request, der die Issue-Nummer nennt.

Rechercherichtung

Es wird keine Quelldatei oder kein Test genannt. Beginne damit, die Berechnung des Bleed-Stackings und die Behandlung des Repeat-Multiplikators zu finden, und reproduziere dann das Multistrike-Beispiel aus dem Issue. Als erledigt gilt, wenn die Berechnung den maximalen Multiplikator und den Wiederholungsfaktor widerspiegelt, einschließlich der genannten Beispiele.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Bewertung

Tech-Stack
lua
Bereich
game-dev
Issue-Typ
Bug
Schwierigkeit
4/5
Geschätzter Aufwand
3-5 Tage
Aktivitätsstatus
Veraltet
Klarheit
Größtenteils klar
Anfängerfreundlichkeit
35/100

Neue Issues direkt in Ihr Postfach

Eine kurze Übersicht über anfängerfreundliche GitHub-Issues.