PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding
inaccurate uptime% of warcries with exerted attacks.
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Description
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 behaviour is supposed to be supported. If it isn't please open a feature request instead (Red text is a feature request).
What is the behaviour in-game?
For this scenario I have 3 warcries:
- Seismic cry (exert 7 attacks)
- Intimidating cry (exert 5 attacks)
- Rallying cry (exert 8 attacks)
all have a cooldown of 4.71s, and a cast time of 0.32s
I have an attack rate 1.73.
The average uptime should be (if using all 3 of those warcries): # of exerted attacks / attacks per second / (warcry cooldown - casttime of every warcry being used).
After all, I need to spend time for each warcry I am using instead of hitting and expending exert charges. (warcry cooldown also starts the moment you start casting it, see https://www.youtube.com/watch?v=OmSXKF8tgMI)
Technically, this should also cut into the attack rate of the character, it is after all casting warcries instead of attacking, of which how to effectively calculate I do not know.
What is the behaviour in Path of Building?
The above image shows that it currently adds the warcry casttime, instead of subtracting it. This causes the uptime to be a lot lower than it should be. Additionally, it should subtract all active warcries.
How to reproduce the issue
- add a warcry skill + slam skill
- go to calculation tab
- see the uptime calculation in 'Exerting Warcries' box be incorrect.
Character build code
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Nxug_jZzPbrvc80YLh7Ve_IgJtQ6jitg_2lavef70Q9W6gMCIdokXiRem8FiKm25W8RuFJ5crFVic-tRH8NkusPz0QXYEyoOZZKM2oq8KNNckQkcXfJHkqBTkBI-OmEP6JE-xNIOCZLW2B6pTRpDqsVhhGnZaQ97Xq5isapQfMJBiUJbXgCmFKP-uDjh94uNhAg5Mu2jA5fOGvH-TEsynEvJrs6V7ElCvrXFxtjtQuwTRiCgn-hOIIeMVuZ0PZXWZhuoSCkZKaPTJl3bhDadQna6VEtcRYeWCLQdOkWUGGbb0Sh2SxU6ZMuefK_sE1RISKZ1tMGxJY4ebr64cIad6gpwu2JgnkLrcTGsn8AsrO-K444VDMaZD9z1-mNC96htwhkn-rNEfB0LwglIy90DqbgJfXdGPcEVmUxdHPwyG240AC5Wk7uzAK_Niwu6OFUlkTVpCsdbksn4r30SFdeBirsmnGFafPrrrgq1MH1_11Wh1lY_W4fZwJLQynq4-ipQ64EJFm02uwS08mCfturTeuA_26pP64E9r4w8r4xsfmWkWfx-ypWR5mH9-JURTf6xKyMtLMcPWhlpObK_28pIbRH_eWnkeWlk00sjivLfWRt5Xhr5WZdGmn3C33FppHnU_9SlkWbOPC-NbGpppNaR_bRrI80S9A9aG2lmxvPayMprIz90aaR9wWzTSyP_yJURAbufV0b-hisj8T_YUR8mBAzixJvOIkbp3fbECQfXN7PRiN76S-9JCdjNxr3Dw97-1clvvfjSjjwKY8K1N5vc0BCC_ze73qNP2H1KUji7CflfYboc8sA6AhEldtyQDsh18TTMDZGu1cQ9dwGvhhqDOnbSC4LFtDKAakq9RxLQeg71P4FDKvuVfm_oFG-Q3ldGLzmpokZv3q0mxC3nPpjRSzBqlZxi9xxXU6H3DlcOh36swT2ZTLFb2XL8tYETET3DBWLqjJwBvRymfsrpiS8OVcOXwQC0bDCvme_9XHFHSINd_VNFgH-sRr7wnZAmUWLs-GsNV289p3o-46_V6AdkgCvHzj9WI6d3-fkeu8pPTCWFqqH03veYkIPSdB2X3j1VObM9l6Qg1QTPozEJ4kPsVZTOwEYlILWKEzg3s6hajXMQNbxit49WcIh-q0bl92lWjIF-q7FEhRslKxiah6kmxe9hrDRkdaj8HrJK_sWXmtVMQRyyVLCff61hQnJ7YcX44881SsK98b3vDPm1dhXqUgKrMxg-jYGfSoZd0fd0MuXL-55O8dDF4V3lfMdfq9E_8uNlAio8XGpFhCrV0yhQ3XoahctyIJHhXtaHEMx-QbhHaDJbZ8BSmJr5jWbeATi5qGZuW5Ji3RIrQja0lWhxUy4c6coUuYDGV0LXyTAHaSAEvui4JtppRym9U_GYYDcaX_i--zSCS1dfP2mcfhRib8hut33iQOmFurMpEEt6di4KV7MpLVN9-zpJJNgdbTS0jy_d60cBzWi_-_7k87vtHVNWdi3NNnXTNGUb8Q_x-X8jPvMPMd-BA5wPmMQkzVLA3-kFCeaubam6oSNDjm8bfcsSqPg6Avr35DaCWUj4jfl85wH7OXdRAAXNXxJwiWkt94102b3sbb2HIVCArRN2N6V06AcDIl0E_hTf4sgPtvYDPIrI8I1E-7d1EZCR8_hGoo-ypP_4I8DeLXkj76qGuTj1ITXsDoe0dJXPE68e_GPgvL2MZSs6xzrxBgHBYRkzvhW76w2TOPiSrURrW33I3QqkkGGVSPGUgqUMVgrPel_4R7yq-kZCAMXvlgAG7aT_t8Um75J8eyOZMuWV6wwcCqNsJQmSxDIqCUk4rcMmpaAtTf0_tB7Cu1TeYLQF3Aol1ZYiXzKNpa_IyONyihIb0NYrW6dICVskzpetPyJ8G74pX5MY_yf5uYMZpcUfAz7Bi5SJprV4ocjyjoLsl3Xdprn3GV2YAzSJIb_blnf17VjW4uy8EgI1QqiNEFojhF4NYVocJLmflhUoihqD6jTmlF4MKu27M1b1-4Ve1FmhLSlr9UV3NALRoeLxnl9peTgjYHPJIS2-t0KgNsv1g-Gy9AuAwaLfz4_ZpqeiwBe6LbFM9I2EU_TrCR6Qa9DX6zCCX2MZKmG994cwflqeeSNZmQrJOWUxCsqibqXSxmTeki74VUS8A2H2GUnMhJS-SzggSY-5khYIAnx_gl23jHULDIIu9ulIEpWUhuDrJAXlBZzLtfTgRGOJelUJxi8ledxWcwNnwDPJD6T-gEwj6OnaTSmi0UtOKFFhkUBaJC4ulXBs2qV43iuhUkn62TVZb1RktU6Rz8jQmU2erMlXToQ9Z9B_ABscXrdDoTclA_jVGOQiqtdo1i0mfvFEhkdU7HouuwYbg76FaDUdB23CzZqtiTVb1-o0W6vU7EppxAXNXkWxFbngIeG_Oc9ahQvxkZ8QeAXuGfwohUrZKV2mFyDXKGQ85xKf9Bq4eKKleKb__hqn_Qkad0rwcG_ee8QgiOS6ncpBuEZvtodA3v2z9e2BRopztuIQ38Jdo3b6Omqn_5lqx-LdNCSN3RySl93cj1dDKgjS3lyKRaEaMJ59iU3_318J9Tol5PPxVB28CJxwAnnHYB8HeEqjxnq0CrWilTD2q_pkrSyRaekKaX22Rh1Rm_gWldQRVapjC6emF50a619bRdIaFKktHZaTxtUciU5RtWalciAlgvBT6ZdIe4yNao-ykhKsqEPH-J6kNQ9ez9uMHqG1yGSrTexbi2yTiRh7TqJGCdUKn2jVKaH6BCXU8jo4yetBWw1CrEDjslJQzJKNucO2dBR5SY1rUMcgShIqWJ9YoP7-_tKs03gW60tHGETRpaUHbpNpSIbiv-8Bt-JqpeMSWhzsE8zCfghMgsGY0-lhKt3-SPrkBy4IKPuxwfFayFyk-k1n0FyGMXSrto6avvfFy4RxR_ViTXdJ2zVdWWSPTpnLAKpqLbJXr5YAADt75imnwEheKrTm_apdLLLykmZcwkwql4QycpGzS8KI9AUydpD1UhCWmiIX-8o0qbYUlP2VxlWRDjOngenvlD-F32kUTH-nI89_-PtrkFXUoI_vTz587G31BmOfhFTm92n6CzK4denPYXL2ZsEtiF2UKpOt69XKNMZT0BymL23lSM_LUQIKs82q9vOCzXulwETCTPoPnvQxJFs5wXph0XK4_FIgLzmoVy90eceUXy7Jz6cx8aS5P4sFsyNF-I5ILxR9h9EEtlAwCYflGrs08gOJYLAccX-TXVusCMipbcVj4FVGEOmJD1LaAn-ypSXQw79MRf9Jwme3MN8we_ckM96qqv1w441Uu2i8LQGMri2SJ-1-I64PAjvXGkyzoik5y6sLAAx7UXrLTwBlqWvaaKuoW68stGw5VUVsOePf094VPiq22HwWo5KEXfFi2M-cbdzzd8nYai7rriw0o5fz0MXRGP9fPPXDf4dgrhx3qx_NWDC3R9xoax9DkDgPIerr3gSYhnXpT_lZjd9BewNZG5HUXX0399P-LAiAq1t8LyoQTr-g3OSj0ipo3lgieUct2kq6u0NKtndI8P89j0wcUEPu19kjdy4J5tc4iZIXBbsKFDVuV_vxA3ExJg8F0kXNxR8xJyHsoD6YXgEg0Y3RVCBT2xqvocZRQAMhlPVERfbihcq6shHSvI_MACfB-ZP7aBpW1se1ScerAvlJYLmUQqcg9ltLvoomOvF6NydKszlhJ-mUUo8qC3xlDpXux5R0mTvHh8SHMlnCXITm_1WtB3nYxDK0UVyHrqFiNkJYjRB2tftUFKHVOcAPHt0bPyTBFjt8sORD5WofKrI-bf0LKvqX_AaFavlR5RofARjLeS315nvgFEMqXkF8NAviJvaOZ1wKAPGDAUn8LMoWhx4F_iT-ZQnpFFwaxAk0_NKkkG3OCbcSTVRYcxwfBFlIQsKRhKXImZCG3QsblPFKr6TFTSGhfJyCTU880qWPgy1aAnIiIrGth0Vfg3bR7pL7kZd_Ulq6JK0gTDn3ZJZkJ7O5eU9Ft7mYRVcVv_cq0UxjBlnAr55PU8k9ajJjrwXQbN7oQmNqlgAWJowPmSaWA7Yhn4rnANNvCS4NhugtQ-AEKXlmVlkb9BVXVqdhlxClKSy_XSCuwOSGoaauQ3RpUYJHSngFI0z9hKq_XIeOuig5fLQeHS2jYxnG4oUJSr0KoScK_gaT4R9lti32AFKD4a7d3nDk-oHjzyC5hOCRpFZbsWX5h6c-mqYVUx9FWQZiacrKhSuzITsyIaPKpTWCxEe1tXJ6ZFakR2kBzKj1XrUZEopjm-xl5cUfhPF38UpJS72JM8sXeuMYDeJnQdGrcFOBNMah9AJBgGYWixWAmxgRWxWVvRRFE9S9ZHF9K657ibM3VJG9paNnr5R3Zt49AWkbXk_8YYe9Iz3BHhbsRwQDo-8UC3iCiHGjdOmu-r9Zse6_GFbWbgXpTkgE2h5Jl3TraoM5Ua2qKnhhQ3KbcolA0xUVqEeQiTq3dE-2JYAAkCWLIV6TEhawB1QnOnkDkE-JFHMHqS_FyvNKY-qZ79_WK1MVqCyqKFWjapWt06BK5QEm79BThx7tENDLl1J3wJEbLDaHYJYeVwYiYEXCf8IaklK76eI3aquBYWCq2wi8ZuitJD43L5TX7Dgj-MnJHMKsoSJawz0gj-A3oIe66Kto_7xSsWU-L_aWLBL7VLJ4RSBZGALza1ab9VcqW7ZM-7lVsw_eXPZdYCxYZV1c9pAYh4AOuEtm7HlHSbLO2hmAy-tgviF3Sfyh65qyo9NINaCxSSGV3B_THRE-ywqEQqT8JMKu1Ip6mhyq8XAMYXLYnblJbvhxGjghlflzb_4odSczl0QgOvh2BiHnAXEhsU7zuqTM9wbS4ltWd1j6UIh7RADskgDhB3aZEZ0raiVFEL85_NLb7Fsqhm8kSG8HRPjlmF4AUvEFaA-Fn7LenOTJ5i09ZMAuY2vV5wMnHDigdl4lgTPsknvfZX6jAiTrSLzdIGyGTN1JFeinAEfjqo9fCHb9KMgNq-fdzwVpvpr3rHrVbg_XhSQighz7U0AGd9Qn7dHNJ401ZoX6XnlH4R4LFzdr1GCnyXgHddSO1tGXitaqsGhdS8zomB2rY1eRysxhm47JHUXpKKijqB1F6yh6RzGqCBcii4yCuWAbeugWS5gASdHZFHFnv9SFIT3-GDZxJl33XF5LbaInYI6AWnxYungcqq6XDWwSNJG4Gn4uXeIH01tNiVmK-XgtvUru8g6zdolZwHK6LT5xT3HRfCixU90SPQh5Dz3cWuLse0j8b-ZptYoXP4vrbqzGldTJRA2XaLCIsFVneIwM0l1aJxHNDz81c4sdD3IHUYt6odS7H1OluujcEYnfl9FCNswGSeC35EjJyd98iY65LpaRez4Nt0lwz51Vrhy3nL1XwaoL5tBqYbRF0bfVAuuLxM3VghkL5vBqYcwFc321MNaCO8FaIHtRcIe1sIq8iN1iPZiyyNxjPSRa5NxkPai6WHaX9Rj5ucmysFoUfcHcZz2QsUjcaD2cuWCWWwCzXk6m_IPLHHX8kptBmkN_pZmtSjPXlGamKM1cUZrZojTzBTXzBbVIiZr5gprlDTWzDjVLHGrmLmrmLmrmLmrmrtrMXbWZu2oLZW5aK1RSiRCuFZJoDN6Se7L_p5iGhv4tGf-WDmbEdcLo_2_R2xjY1gq-oz5JD0_JbSHL-xX7E-lFElezFVx6SezLDOIS3zk4wtILegseoX4HAoRPOMiBdO_8OQBAKOB4N-DO7wh8XU4-lOK2l0s8dGaQebDj31unzsSh0JFPAavWHPf9yQQCHoBzCR6SIBw7U4kGPRJjgfSAg8Dxg1CaAVDARpcPElZEj4eeDx1WpMA4s5Vs6afrnQEbNTuAve9732YJR-k-xF9xMHO2jh26eu0M_iYbseTt5B9dF_5tKKkZy_2Oli7ViOX8E44GYxIkpY_enJbqkgMyXLRT-WLVtEwoadD4hkdvSa2K7n9hBSsx2AXxSBSU6iAxwIk3YLFvEveezdxICJRrcOk7raHF5366YalokgcBybjnO7Cv_BJYHKm9ScbELlWRDukWCFYc3iMjuubLcpkGpCN2ETTtCavcLUMzgml3e33pRbypAO3KL1vAV4EkiQpNLEkrogUMAVD8nQOfe_FpKrr5WAQ73M0K6Unzlrj1EjCImJTU6otlqFz28Ubq5m4u4Rl5C0iWxFUCMrmIpy9dx62EZt3uPYIwJzhMQtiNjvVIl2QU2-1ci5UoHz3M6rWEnRot3KSfw0mzhsJ42U1kS6POwYLAXcCcQoJa-b2NJNWh1EDdEk_8Nb6duB_hIJLOR5QgS-EzaJbnFcbKs2Sqzb17PFwG3QPSwzTtZtvcC8OOwfbTvTDJDW6ci-ESJLVEpT1bZZDi3PW8ESE3bq5rLBNt1WYCmWz6T1l86Ae5XvBTY2WsA3LDdoH1HqfUcnLuLkGxLYznXujiGWR8VMV_pYUzIdgFpGaFSmr8sThgGs74AZ8bxyv0i2bXb2JDxpbsy1qQA0lnOOcb4prIEjijJXQyCQTzMnUtLrsHCp7B5fLu1NrT60kkGg8ypyU2eM14FbDMp3ap8LbTxnbIFfDFGWSXrRYmugaY361aAfqZ7VeMb40Bicx2SZXFEcY0cEJm-_bBDfgROFyuvXkNy0Hli3xUbKmcCAHp1Bd3FDdAlbS6BFSOVSqmowErDwiZRmoNqGIf-DOwF4LO5gFBQPllv0sA_Oe8Ch0XnFMCBr0SeqL0e_ykFuNuwWjGZaLzrLD0Znk_QC10ySP2RMMVoNHwKo71wpJ-NoIXo71GcMG6kQinZOthHJ8gTfPAmIvwaB_oBE1mHp9BdrFwNWSrAXDQkgbP-C0SR4EP-VJbLFApSMLKUUaGczIo9P4wIOQ7qQQsdP5kUA1Y7ARbnaZl68quC5AgCAujmwpeplOZ7zx7h7ABur1A5JBKo_E9FlLeV7C0EpH1T8CGpCL-Zjn3qrBENRgiIBCCiIOwUK2RKAPl4UE5piwBZdELDZn5ta_NwDUurw5FBBXvy8yNLoNidexlW12OOHJgWYm8bLpioDIAdcYltldBssSoMKnFqGIJTxj8xFDF5Fggx3m4QggkgE1K-dRNh0sRcO6r74VkAIRTGU52oPCTByGPYaFjIxr0nxJ8z2-fImzbeluS9IhNIfkWIi5NqNSN1-WSzIAGEEvkG2iFKdfp3ZouKeyIFaAyJekGAwwWqD-jYcshO33Br0aNsxOImPgRZNKyQ8mZjTip48To5OU-cEliaiE4NCdvQRwvdSGUSX9je71S0MInQymDS1cPfg0K_6zUFiJzC5jajtFmIbsFBl92bgHI91eJTyAoO8quzo9AFype2e6s-PAXPX2TGvCbebwtSHweISaSEx-2vYO2U9oW2UxYK66-qzLf9kW3aJZWlGncSXNtkJJGqsX9EJq8YxQXlfO8aCRW2KvAtIAtU8dsLZ-fwGFcYFmpjeIqONL5-UIB-czAJZtQ2zZhFZow-EEQaCE5Xchqf6O0YHiTFQwFtJP9UrmFZdEyfpl8JSGJXx2d3zCYW4Ze5j_aUSxO_yynBRnzz0Rq12YcirLcWsarTTeGFvXnegVl0TZk1dIhLK6bTyarCclmB7GSaivdi8KY5S2d3-IF2DaNFVR4h7amizY804bindFtqBrtd1hXttimndIuJENmpyn5viJe-hWQKe64zIhZpR1K7FBFVn_ju3yK22_bE7cFBzZyN2yX7U9aY27fBCooMI0Q-PUciVlOt_jm69KjpC6dcwHhCm0qZQ9Q2E1crGYXDllX2KmqdtAil_jclGrdK9BR28wxL41XT3G2SzUjrC3bs3hTYtFc0fOYPB6FJKgtcb3BfhWbaLI4wiaMBlu2gSYKysoSKxKwtA1ipx2UxE_L7IqD1ZatWOWjoczFj_iqQchWDZZaSdYQ2rZhi6QoM9BskSGxFGyD3zJdvvs6C_zkcreZIg1ykplfogB6A3bjNrP5zdSV0m5NVPYpxcWFatkvE0ZNLrCwCNKCoFpS9GRhpAWqVj8rbYfId79nZHXhzOS2ZC6tuzCloJ65uPZCffOwRYPGIlmU4acvJMLXZtJwLxbmZkomcwO3xcWbwmF-2sSv4lihTMxixJjXjpd4WiDZpeksLfs0U9Dkpds7XuhWsnf4hWWBw9de5ldthDTZsYWMaFkfdkEhdi1xQhR7hxZUUcvsrXQOtQ1ptSHTWnH82lp50IqNlM4RqMaOpnEWxzT8wgpXZdKZP_ORUS-dAFCsHYQ2R71pu3Sq60Gs6_zmM2_YmJ2I2yt6LRBq9EObK6tlspbXloAulwjw9b3W6MqSptDG0yVAavQcj12ryu-Di6c01aBKCyhuDi3i1cKbdLVQgJsuxuUwVR7L4eJCYpptsc7hJZPRjrbWoNNNqYaIpt7gj_OLly1JGpspHYlIm6JTPJshLVSoLBjgUpVfQo3pzphj42fuMmr2AhXuQolXT5NwzPd4NE-fQUluPKkhZ8gLTqAo6S4tlRfeXcrFjmJCSoMIlc15HS20YOvwrM3csm4yxmLYwAnR3tOtlGKCarXglJaBRXO6fIovo6y1zDqz-4Yb0s7a1nSRKAl8JculGft4Mzhs8Ji1rRrrt1pfr6xt1Vy_1aXlqRWbtsqRfzp5yWL5qhTtRbySGyWL6LUU2NJ5ViqWKwq5G5yAUotK2SsX1udXoVQul-TX7Feho-Y4yBfya7FP8l7X1NZnYFu9KTaol0Zd3CSwAiGjzL5k48AKNMwc69gyfS1utoaaUbDW599Kuihquxwg5ncorErMKgeLxV0LK5NTqpbe4rG6jatu6bn4jGixkCHvgunbRU8nq1bWvGipml4GymjVlrkEZKurjSm5uiKjgGLRyelL98kV906Msr0Z7cgbDRVMwW6OVnTNhnh3XbpW5bxl4payOlxh5orrACa__bH5hK-AOL-SIFsZlBtiwRY2oUyyUtOWaLHHi1L9aEpKy-2gNduJl76ayLddVRddKtSCvLbewvUa86GvVbZZo6Gm1YBsV4-AWHodRkbPXPBtPfzu_OUdOjSRGPD9LNX08reRovQ20qyRgs6u3Qi75jKUSHbPJV9Gs7j_XXp9IWvfXrqTs3zXfoVu49I2I1-0zagVo6HRAhPKC3up1Kfj4Wshk7n4bZaWjSqL5V1L5XwxrpgMqnYttWwKLUo348abAiK2elyxSpUz0sxz8Z1ONQ0-35n3kx4mVzdy3lx_PpK-7pH05_PmtefN60CaBVNtZp3azDq1mS9aM1-0Zr5oLW4ubmEIm_miNUud1sw6rZl1WrPUac3c1Zu5q7d4YqZ50HrzoPXmQevNg9abB200D9poFimjWaSMZtYZLVxnM-uMZtYZzawzmllnNg_abO6u1TwBVjPrrGZttJq5a7XobovQpJm7VjN37Wa-2M2CaTfPkd3MXbuZu3Yzd-1m7trN3LVbBCdyi8BObhHZyS1CO7lFbCdr1RfaIqXuQltIlSZ0Bbvl-8HxIaHCnbYcVXiV7YDkLqDlcILbatlLATytZDDXtRfe5m865CSFV9nKpdet7ML1i2wPQeHOREUppFfs8YLkocHqlWS68kmHCclrIPUHZBoFJCxedVs4cPHXSbCEolJ6IeSse3Syv3WGQ38whtQ4uQ5lD4fYjeKtAZBI80tk7uBrswAxpMOZ6yZ7D8-9YyfSBFNOn0Ji0PS1lf1ZEBJeS6l6M0RHoruLR5TC4oq--hlKXvGewfgND5bDo_TlkDRlpyu8tI58M8_eK9JN4Z3BtHfptrXimx8_cLbUVrOV3tBemK8-vU4ocFvcYb3KnFmmms0ZW-5omLOSlq40FZZoKviS0-ozsfYrO_GFZG1m4sPMGdyFjks3aBUm48CnD71tbhroPffpNOQs8Cda-TkmmE67el0xJ-U3N1eZk9Kr53lT-afNhS6ai0-Yvp4Jtp9uL2ELGOkEdF0Xz9vrQer6kirbuXfqP1CSquD1XZRMBN1otu8HwWxKL7Vlt52xdVLoo3rN_tdyOhTFiB_YSct8zii_xRZkHzrE3U18-W_SEt9QHW95o4VKRU0rlUUi6SUXAgrxMMiQX9pWT6i4mFpA3JAzFAqB6O13MP7uXPoaBzr_pbCn8LZF9UX8Jbv4l4tAhEyvfX47Ub6lJ4N1pfrJ4PVfZm18UCT_KpC2_DF7aUT7EU9iVzy3Gr-9s_T6R_Imz8_3ULVQUKxK7bzxh_PKF6-MGkkRvXjVpNZIKUqPLX7AY_W3rZpe_kUKysuQ1uptq4oHgjMp1td_20reMhTRq1K2Xvkk8JIsqqjuUSn087-oLhRlu1KUx3gyIQHlMobQ9NAHyZAuAn-Kb3HkBxXCKX4VxkYml0J2T0VRAq8e_GOI5Y0GkdN0pSTIORdltnFPyGqSKbP0egx7tJwmWuzZ8uIW3-SpWXayBZlUOHS5vJ6_hbTKR2N4eld68bYT_yf5ucMfxhU8gGRayVK1Xbdz-L8qoMkboTWmVJVr30yfBd9mvhOS5LmWpueKTLvquaLU94neJxI89GUuBLJqiOUsk3MFiR42qg6TNLnxMZFL4oJFpncSZ28lC94PMXaQ9rKhRAQmrviGBxNeJruKVveesviBI22VB47-Tpe8CwW5tkp5SjDkyUH8SHqDEFvG6kFhwz_Ewqe2fiwrPuehJ8-gFz2qtSwdPy5KV0RReo95LBpAbYE_2elHMGj2wJn0gvr516lTf7n-E39Z9KNrIuOgNYTrpXBIa7AlpqlTK5A9yaKKZ1HVRbNYeknMTdqufvwP0QeIssiIGg9RKBTSpzoF78UwU8KiLbvekqiVWUPN24AtH0bje2CV0r0J7Z9G-9u8BNgnES1i8K3Jnwie-h789G57hN2QJEPklPuuH0kO4FzcfLw8fbe9LXl4Ai1AEnNPwm326SS_46gKgTcjKRmK0oSy5_tRKHVv5mFIN7ux6EzSMwJyIwGwp2V81Aofs1fP321TK5BQ4yU1NcPPNs40DVrqP-BpuSfaCiNJCT2BGzENtAEa4gEZGxiQsYEBrUVDNCBFRIh9OhkCFcnzh4R-1DUFmQlFVhCT4p_yLa4j7eoGWIo2xY5VBPaYgA2OWjF0BeU1ntwDtDKFDMFar0l1U_zXNyAMygb0S9lAP7QVJSHnNp5mpFYRAKFKahvg4Cqd4G4nN_fZZsy1GKA-lQHoiUq8WgeG8-TKrydIIY9WnkJBrNr6kykYm3K-yqasDGrp9JBmK0Wfx39p5fKq46t8gIhq27c0Uy91gP-0gtMVT4r2ZNHSNyPjq6gar4HluGesa5vVDVg49YlGQnsivrKZCVjbdz8xy8gNP3sObhUCOcnJjgA09fyJPNef6lk2NGnapkzhxhIJdV0rvwIeq2flplDR1zNdre2_YaKy_eU_rZT0VM7ixjzjJnJkbT3JzM2G2mr-8t5PW2_-NhRe6U_2gU_3osaqBiXHvfWqS8st8tJZn0Rtq2eRE7lAnq2SJsXAH15Lyw5FPRfTnotpz8W052LaczHtuZjWXExTledi2nMx7bmY9lxMey6m1RXTVPm5mPZcTHsupv1ji2nmczHtr1NMQ9bKxTTzuZi2fjHN_gG1NP73kP5t3_dGzi2vr3nTWRQTpXe1zYubKKG92eSGBPQqm-SSgmWcdKdgGUkXI9E6Htu4z055ssPUZLgt3fi-S7AXO4RltEl6eflloRW1smPxkYb5FKDDiO5HfbfNjuI3diq-87a5U7OQ9LzhLKC7I-Mzrc1I9FmSQz-InBGwmra5yuC78RHIvTk7EDGnh3IPZkFMJ2V9FU9Owj0_DDN-XDiehweukCWzMPInZ_4wB7714iE5hvFKCseY3gk3ZnHoSwGFKfaiMfG9M_zVD478YUbnakz24G_kV_hXVVfpzteWIsXg6Tm3lvAZO9-zQ_xdlxaPU2GvxeBs_8jP7NLDADlMVIt5QEYOFZSc7FaOnR5tKg9G0ev1ifaJ9-7Eu8BhZMWvnTaLV0n6g1k4biP9gpYznjQhn-Ep36KtZGLBzTk03dTFM-xMVuohw8ou5G-Bmgqv45WE9wgHs7sx9gRITDvmoDN5k9P9vYVAXfgPJMjPdYxz4eIBGYMqgKblBIQdW8rAzVQyKuBzBwQFprMCqdKyI5RcXFbZXuBE_GLOZaNUgZIdks3rb0MzAhvR3DmRpWjGYrv8M4TkDqe6rq06nJThF8RbthJNSCszT2RkrOTeozrmrdI9yoeV4EFyyp1qEtQkYk0nUzN1VI9SFek0y0F8Vtd3XXYIIK-E9Yi9exwWvLQiK1o1N0Ln1nHPR8ww9CPMQosUk2G9fZ3Ecm9fX-BofD7amzkuvWnhP1v_C5g2TvI=
Screenshots
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Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start in the calculation path behind the calculation tab's “Exerting Warcries” box and reproduce the reported three-warcry scenario with a warcry and slam skill. Verify the uptime calculation against the reported cooldown, cast-time, exerted-attack, and attack-rate inputs, including multiple active warcries; done means the displayed uptime matches the intended in-game timing.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- lua
- Domain
- game-dev
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100