@@ -201,7 +201,7 @@ address('hist_name',df.historical_figure,'name')
201201address (' id' ,df .historical_figure ,' id' )
202202address (' hist_fig_info' ,df .historical_figure ,' info' )
203203address (' reputation' ,df .historical_figure_info ,' reputation' )
204- address (' current_ident' ,df .historical_figure_info . T_reputation ,' cur_identity' )
204+ address (' current_ident' ,df .reputation_profilest ,' cur_identity' )
205205address (' fake_name' ,df .identity ,' name' )
206206address (' fake_birth_year' ,df .identity ,' birth_year' )
207207address (' fake_birth_time' ,df .identity ,' birth_second' )
@@ -356,16 +356,16 @@ address('trans_race_vec',df.creature_interaction_effect_body_transformationst,'r
356356
357357header (' unit_wound_offsets' )
358358address (' parts' ,df .unit_wound ,' parts' )
359- address (' id' ,df .unit_wound . T_parts ,' body_part_id' )
360- address (' layer' ,df .unit_wound . T_parts ,' layer_idx' )
359+ address (' id' ,df .unit_wound_layerst ,' body_part_id' )
360+ address (' layer' ,df .unit_wound_layerst ,' layer_idx' )
361361address (' general_flags' ,df .unit_wound ,' flags' )
362- address (' flags1' ,df .unit_wound . T_parts ,' flags1' )
363- address (' flags2' ,df .unit_wound . T_parts ,' flags2' )
364- address (' effects_vector' ,df .unit_wound . T_parts ,' effect_type' )
365- address (' bleeding' ,df .unit_wound . T_parts ,' bleeding' )
366- address (' pain' ,df .unit_wound . T_parts ,' pain' )
367- address (' cur_pen' ,df .unit_wound . T_parts ,' cur_penetration_perc' )
368- address (' max_pen' ,df .unit_wound . T_parts ,' max_penetration_perc' )
362+ address (' flags1' ,df .unit_wound_layerst ,' flags1' )
363+ address (' flags2' ,df .unit_wound_layerst ,' flags2' )
364+ address (' effects_vector' ,df .unit_wound_layerst ,' effect_type' )
365+ address (' bleeding' ,df .unit_wound_layerst ,' bleeding' )
366+ address (' pain' ,df .unit_wound_layerst ,' pain' )
367+ address (' cur_pen' ,df .unit_wound_layerst ,' cur_penetration_perc' )
368+ address (' max_pen' ,df .unit_wound_layerst ,' max_penetration_perc' )
369369
370370header (' soul_details' )
371371address (' name' ,df .unit_soul ,' name' )
@@ -377,7 +377,7 @@ address('personality',df.unit_soul,'personality')
377377address (' beliefs' ,df .unit_personality ,' values' )
378378address (' emotions' ,df .unit_personality ,' emotions' )
379379address (' goals' ,df .unit_personality ,' dreams' )
380- address (' goal_realized' ,df .unit_personality . T_dreams ,' flags' )
380+ address (' goal_realized' ,df .personality_goalst ,' flags' )
381381address (' traits' ,df .unit_personality ,' traits' )
382382address (' stress_level' ,df .unit_personality ,' stress' )
383383address (' needs' ,df .unit_personality ,' needs' )
@@ -387,10 +387,10 @@ address('combat_hardened',df.unit_personality,'combat_hardened')
387387address (' likes_outdoors' ,df .unit_personality ,' likes_outdoors' )
388388
389389header (' need_offsets' )
390- address (' id' ,df .unit_personality . T_needs ,' id' )
391- address (' deity_id' ,df .unit_personality . T_needs ,' deity_id' )
392- address (' focus_level' ,df .unit_personality . T_needs ,' focus_level' )
393- address (' need_level' ,df .unit_personality . T_needs ,' need_level' )
390+ address (' id' ,df .personality_needst ,' id' )
391+ address (' deity_id' ,df .personality_needst ,' deity_id' )
392+ address (' focus_level' ,df .personality_needst ,' focus_level' )
393+ address (' need_level' ,df .personality_needst ,' need_level' )
394394
395395header (' emotion_offsets' )
396396address (' emotion_type' ,df .personality_moodst ,' type' )
@@ -456,7 +456,7 @@ address('knowledge_category',df.activity_event_ponder_topicst,'topic','research'
456456address (' knowledge_flag' ,df .activity_event_ponder_topicst ,' topic' ,' research' ,' flag_data' )
457457address (' perf_type' ,df .activity_event_performancest ,' type' )
458458address (' perf_participants' ,df .activity_event_performancest ,' participant_actions' )
459- address (' perf_histfig' ,df .activity_event_performancest . T_participant_actions ,' histfig_id' )
459+ address (' perf_histfig' ,df .performance_rolest ,' histfig_id' )
460460
461461header (' art_offsets' )
462462address (' name' ,df .poetic_form ,' name' )
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