Translate make-dt.pl from df-structures into lua to avoid lisp dependency.
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-- Exports an ini file for Dwarf Therapist.
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local utils = require 'utils'
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local ms = require 'memscan'
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-- Utility functions
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local globals = df.global
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local global_addr = dfhack.internal.getAddress
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local os_type = dfhack.getOSType()
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local vbias = 0
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if os_type == 'windows' then vbias = -4 end
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local lines = {}
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local complete = true
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local function header(name)
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table.insert(lines, '')
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table.insert(lines, '['..name..']')
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end
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local function value(name,addr)
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local line
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if not addr then
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complete = false
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line = name..'=0x0'
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elseif addr < 0x10000 then
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line = string.format('%s=0x%04x',name,addr)
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else
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line = string.format('%s=0x%08x',name,addr)
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end
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table.insert(lines, line)
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end
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local function address(name,bias,base,field,...)
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local addr
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if base == globals then
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addr = global_addr(field)
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if addr and select('#',...) > 0 then
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_,addr = df.sizeof(ms.field_ref(base,field,...))
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end
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elseif base._kind == 'class-type' then
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-- field_offset crashes with classes due to vtable problems,
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-- so we have to create a real temporary object here.
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local obj = df.new(base)
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if obj then
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local _,a1 = df.sizeof(obj)
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local _,a2 = df.sizeof(ms.field_ref(obj,field,...))
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addr = a2-a1
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obj:delete()
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end
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else
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addr = ms.field_offset(base,field,...)
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end
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if addr then
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addr = addr + bias
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end
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value(name, addr)
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end
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local function offset(name,base,...)
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address(name,0,base,...)
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end
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local function vector(name,base,...)
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address(name,vbias,base,...)
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end
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-- List of actual values
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header('addresses')
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vector('translation_vector',globals,'world','raws','language','translations')
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vector('language_vector',globals,'world','raws','language','words')
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vector('creature_vector',globals,'world','units','all')
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vector('active_creature_vector',globals,'world','units','active')
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offset('dwarf_race_index',globals,'ui','race_id')
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vector('squad_vector',globals,'world','squads','all')
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offset('current_year',globals,'cur_year')
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offset('cur_year_tick',globals,'cur_year_tick')
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offset('dwarf_civ_index',globals,'ui','civ_id')
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vector('races_vector',globals,'world','raws','creatures','all')
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vector('reactions_vector',globals,'world','raws','reactions')
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vector('historical_figures',globals,'world','history','figures')
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vector('fake_identities',globals,'world','assumed_identities','all')
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vector('historical_figures_vector',globals,'world','history','figures')
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vector('fake_identities_vector',globals,'world','assumed_identities','all')
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vector('fortress_entity',globals,'ui','main','fortress_entity')
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vector('historical_entities_vector',globals,'world','entities','all')
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vector('weapons_vector',globals,'world','raws','itemdefs','weapons')
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vector('trap_vector',globals,'world','raws','itemdefs','trapcomps')
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vector('toy_vector',globals,'world','raws','itemdefs','toys')
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vector('tool_vector',globals,'world','raws','itemdefs','tools')
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vector('instrument_vector',globals,'world','raws','itemdefs','instruments')
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vector('armor_vector',globals,'world','raws','itemdefs','armor')
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vector('ammo_vector',globals,'world','raws','itemdefs','ammo')
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vector('siegeammo_vector',globals,'world','raws','itemdefs','siege_ammo')
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vector('glove_vector',globals,'world','raws','itemdefs','gloves')
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vector('shoe_vector',globals,'world','raws','itemdefs','shoes')
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vector('shield_vector',globals,'world','raws','itemdefs','shields')
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vector('helm_vector',globals,'world','raws','itemdefs','helms')
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vector('pant_vector',globals,'world','raws','itemdefs','pants')
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vector('food_vector',globals,'world','raws','itemdefs','food')
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vector('colors_vector',globals,'world','raws','language','colors')
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vector('shapes_vector',globals,'world','raws','language','shapes')
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offset('base_materials',globals,'world','raws','mat_table','builtin')
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vector('inorganics_vector',globals,'world','raws','inorganics')
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vector('plants_vector',globals,'world','raws','plants','all')
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header('offsets')
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offset('word_table',df.language_translation,'words')
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value('string_buffer_offset', 0x0000)
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header('word_offsets')
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offset('base',df.language_word,'word')
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offset('noun_singular',df.language_word,'forms','Noun')
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offset('noun_plural',df.language_word,'forms','NounPlural')
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offset('adjective',df.language_word,'forms','Adjective')
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offset('verb',df.language_word,'forms','Verb')
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offset('present_simple_verb',df.language_word,'forms','Verb3rdPerson')
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offset('past_simple_verb',df.language_word,'forms','VerbPast')
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offset('past_participle_verb',df.language_word,'forms','VerbPassive')
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offset('present_participle_verb',df.language_word,'forms','VerbGerund')
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offset('words',df.language_name,'words')
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offset('word_type',df.language_name,'parts_of_speech')
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offset('language_id',df.language_name,'language')
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header('race_offsets')
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offset('name_singular',df.creature_raw,'name',0)
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offset('name_plural',df.creature_raw,'name',1)
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offset('adjective',df.creature_raw,'name',2)
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offset('baby_name_singular',df.creature_raw,'general_baby_name',0)
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offset('baby_name_plural',df.creature_raw,'general_baby_name',1)
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offset('child_name_singular',df.creature_raw,'general_child_name',0)
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offset('child_name_plural',df.creature_raw,'general_child_name',1)
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vector('pref_string_vector',df.creature_raw,'prefstring')
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vector('castes_vector',df.creature_raw,'caste')
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vector('pop_ratio_vector',df.creature_raw,'pop_ratio')
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vector('materials_vector',df.creature_raw,'material')
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header('caste_offsets')
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offset('caste_name',df.caste_raw,'caste_name')
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offset('caste_descr',df.caste_raw,'description')
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offset('caste_phys_att_ranges',df.caste_raw,'attributes','phys_att_range')
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offset('caste_ment_att_ranges',df.caste_raw,'attributes','ment_att_range')
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offset('adult_size',df.caste_raw,'misc','adult_size')
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header('hist_entity_offsets')
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vector('squads',df.historical_entity,'squads')
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vector('positions',df.historical_entity,'positions','own')
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vector('assignments',df.historical_entity,'positions','assignments')
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offset('assign_hist_id',df.entity_position_assignment,'histfig')
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offset('assign_position_id',df.entity_position_assignment,'position_id')
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offset('position_id',df.entity_position,'id')
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offset('position_name',df.entity_position,'name')
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offset('position_female_name',df.entity_position,'name_female')
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offset('position_male_name',df.entity_position,'name_male')
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header('hist_figure_offsets')
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offset('hist_race',df.historical_figure,'race')
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offset('hist_name',df.historical_figure,'name')
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offset('id',df.historical_figure,'id')
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offset('hist_fig_info',df.historical_figure,'info')
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offset('reputation',df.historical_figure_info,'reputation')
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offset('current_ident',df.historical_figure_info.T_reputation,'cur_identity')
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offset('fake_name',df.assumed_identity,'name')
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offset('fake_birth_year',df.assumed_identity,'birth_year')
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offset('fake_birth_time',df.assumed_identity,'birth_second')
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header('weapon_offsets')
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offset('name_plural',df.itemdef_weaponst,'name_plural')
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offset('single_size',df.itemdef_weaponst,'two_handed')
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offset('multi_size',df.itemdef_weaponst,'minimum_size')
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header('material_offsets')
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offset('solid_name',df.material_common,'state_name','Solid')
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offset('liquid_name',df.material_common,'state_name','Liquid')
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offset('gas_name',df.material_common,'state_name','Gas')
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offset('powder_name',df.material_common,'state_name','Powder')
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offset('paste_name',df.material_common,'state_name','Paste')
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offset('pressed_name',df.material_common,'state_name','Pressed')
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offset('inorganic_materials_vector',df.inorganic_raw,'material')
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header('plant_offsets')
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offset('name',df.plant_raw,'name')
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offset('name_plural',df.plant_raw,'name_plural')
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offset('name_leaf_plural',df.plant_raw,'leaves_plural')
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offset('name_seed_plural',df.plant_raw,'seed_plural')
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vector('materials_vector',df.plant_raw,'material')
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header('item_offsets')
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offset('name_plural',df.itemdef_armorst,'name_plural')
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offset('adjective',df.itemdef_armorst,'name_preplural')
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offset('mat_name',df.itemdef_armorst,'material_placeholder')
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header('descriptor_offsets')
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offset('color_name',df.descriptor_color,'name')
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offset('shape_name_plural',df.descriptor_shape,'name_plural')
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header('dwarf_offsets')
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offset('first_name',df.unit,'name','first_name')
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offset('nick_name',df.unit,'name','nickname')
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offset('last_name',df.unit,'name','words')
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offset('custom_profession',df.unit,'custom_profession')
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offset('profession',df.unit,'profession')
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offset('race',df.unit,'race')
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offset('flags1',df.unit,'flags1')
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offset('flags2',df.unit,'flags2')
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offset('flags3',df.unit,'flags3')
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offset('caste',df.unit,'caste')
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offset('sex',df.unit,'sex')
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offset('id',df.unit,'id')
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offset('animal_type',df.unit,'training_level')
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offset('civ',df.unit,'civ_id')
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vector('specific_refs',df.unit,'specific_refs')
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offset('squad_id',df.unit,'military','squad_id')
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offset('squad_position',df.unit,'military','squad_position')
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offset('recheck_equipment',df.unit,'military','pickup_flags')
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offset('mood',df.unit,'mood')
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offset('birth_year',df.unit,'relations','birth_year')
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offset('birth_time',df.unit,'relations','birth_time')
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offset('current_job',df.unit,'job','current_job')
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offset('physical_attrs',df.unit,'body','physical_attrs')
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vector('body_size',df.unit,'appearance','body_modifiers')
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offset('curse',df.unit,'curse','name')
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offset('turn_count',df.unit,'curse','time_on_site')
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vector('souls',df.unit,'status','souls')
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vector('states',df.unit,'status','misc_traits')
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offset('labors',df.unit,'status','labors')
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offset('happiness',df.unit,'status','happiness')
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offset('squad_ref_id',df.unit,'hist_figure_id')
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offset('hist_id',df.unit,'hist_figure_id')
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header('soul_details')
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offset('name',df.unit_soul,'name')
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offset('mental_attrs',df.unit_soul,'mental_attrs')
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vector('skills',df.unit_soul,'skills')
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offset('traits',df.unit_soul,'traits')
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header('job_details')
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offset('id',df.job,'job_type')
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value('on_break_flag',df.misc_trait_type.OnBreak)
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offset('sub_job_id',df.job,'reaction_name')
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offset('reaction',df.reaction,'name')
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offset('reaction_skill',df.reaction,'skill')
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header('squad_offsets')
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offset('id',df.squad,'id')
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offset('name',df.squad,'name')
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offset('name_old',df.squad,'name','words')
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offset('alias',df.squad,'alias')
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vector('members',df.squad,'positions')
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-- Final creation of the file
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local out = io.open('therapist.ini', 'w')
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out:write('[info]\n')
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-- TODO: add an api function to retrieve the checksum
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out:write('checksum=<<fillme>>\n')
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out:write('version_name='..dfhack.getDFVersion()..'\n')
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out:write('complete='..(complete and 'true' or 'false')..'\n')
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for i,v in ipairs(lines) do
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out:write(v..'\n')
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end
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out:write[[
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[valid_flags_1]
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size=1
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1\name=Not from around these parts
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1\value=0x80000000
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[valid_flags_2]
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size=0
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[invalid_flags_1]
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size=9
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1\name=a zombie
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1\value=0x00001000
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2\name=a skeleton
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2\value=0x00002000
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3\name=a merchant or diplomat
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3\value=0x00000040
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4\name=outpost liason
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4\value=0x00000800
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5\name=an invader or hostile
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5\value=0x00020000
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6\name=an invader or hostile
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6\value=0x00080000
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7\name=an invader or hostile
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7\value=0x000C0000
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8\name=a merchant escort
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8\value=0x00000080
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9\name="Dead, Jim."
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9\value=0x00000002
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[invalid_flags_2]
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size=5
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1\name="killed, Jim."
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1\value=0x00000080
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2\name=from the Underworld. SPOOKY!
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2\value=0x00040000
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3\name=resident
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3\value=0x00080000
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4\name=visitor_uninvited
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4\value=0x00400000
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5\name=visitor
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5\value=0x00800000
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[invalid_flags_3]
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size=1
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1\name=a ghost
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1\value=0x00001000
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]]
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out:close()
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