Standardises all files from CRLF to LF

This commit is contained in:
AffectedArc07
2020-01-12 14:28:01 +00:00
parent ca848e547f
commit 16a37e2769
942 changed files with 189318 additions and 189318 deletions
+72 -72
View File
@@ -1,72 +1,72 @@
// 'basic' language; spoken by default.
/datum/language/common
name = "Galactic Common"
desc = "The common galactic tongue."
speech_verb = "says"
whisper_verb = "whispers"
key = "0"
flags = TONGUELESS_SPEECH | LANGUAGE_HIDE_ICON_IF_UNDERSTOOD
default_priority = 100
icon_state = "galcom"
//Syllable Lists
/*
This list really long, mainly because I can't make up my mind about which mandarin syllables should be removed,
and the english syllables had to be duplicated so that there is roughly a 50-50 weighting.
Sources:
http://www.sttmedia.com/syllablefrequency-english
http://www.chinahighlights.com/travelguide/learning-chinese/pinyin-syllables.htm
*/
/datum/language/common/syllables = list(
"a", "ai", "an", "ang", "ao", "ba", "bai", "ban", "bang", "bao", "bei", "ben", "beng", "bi", "bian", "biao",
"bie", "bin", "bing", "bo", "bu", "ca", "cai", "can", "cang", "cao", "ce", "cei", "cen", "ceng", "cha", "chai",
"chan", "chang", "chao", "che", "chen", "cheng", "chi", "chong", "chou", "chu", "chua", "chuai", "chuan", "chuang", "chui", "chun",
"chuo", "ci", "cong", "cou", "cu", "cuan", "cui", "cun", "cuo", "da", "dai", "dan", "dang", "dao", "de", "dei",
"den", "deng", "di", "dian", "diao", "die", "ding", "diu", "dong", "dou", "du", "duan", "dui", "dun", "duo", "e",
"ei", "en", "er", "fa", "fan", "fang", "fei", "fen", "feng", "fo", "fou", "fu", "ga", "gai", "gan", "gang",
"gao", "ge", "gei", "gen", "geng", "gong", "gou", "gu", "gua", "guai", "guan", "guang", "gui", "gun", "guo", "ha",
"hai", "han", "hang", "hao", "he", "hei", "hen", "heng", "hm", "hng", "hong", "hou", "hu", "hua", "huai", "huan",
"huang", "hui", "hun", "huo", "ji", "jia", "jian", "jiang", "jiao", "jie", "jin", "jing", "jiong", "jiu", "ju", "juan",
"jue", "jun", "ka", "kai", "kan", "kang", "kao", "ke", "kei", "ken", "keng", "kong", "kou", "ku", "kua", "kuai",
"kuan", "kuang", "kui", "kun", "kuo", "la", "lai", "lan", "lang", "lao", "le", "lei", "leng", "li", "lia", "lian",
"liang", "liao", "lie", "lin", "ling", "liu", "long", "lou", "lu", "luan", "lun", "luo", "ma", "mai", "man", "mang",
"mao", "me", "mei", "men", "meng", "mi", "mian", "miao", "mie", "min", "ming", "miu", "mo", "mou", "mu", "na",
"nai", "nan", "nang", "nao", "ne", "nei", "nen", "neng", "ng", "ni", "nian", "niang", "niao", "nie", "nin", "ning",
"niu", "nong", "nou", "nu", "nuan", "nuo", "o", "ou", "pa", "pai", "pan", "pang", "pao", "pei", "pen", "peng",
"pi", "pian", "piao", "pie", "pin", "ping", "po", "pou", "pu", "qi", "qia", "qian", "qiang", "qiao", "qie", "qin",
"qing", "qiong", "qiu", "qu", "quan", "que", "qun", "ran", "rang", "rao", "re", "ren", "reng", "ri", "rong", "rou",
"ru", "rua", "ruan", "rui", "run", "ruo", "sa", "sai", "san", "sang", "sao", "se", "sei", "sen", "seng", "sha",
"shai", "shan", "shang", "shao", "she", "shei", "shen", "sheng", "shi", "shou", "shu", "shua", "shuai", "shuan", "shuang", "shui",
"shun", "shuo", "si", "song", "sou", "su", "suan", "sui", "sun", "suo", "ta", "tai", "tan", "tang", "tao", "te",
"teng", "ti", "tian", "tiao", "tie", "ting", "tong", "tou", "tu", "tuan", "tui", "tun", "tuo", "wa", "wai", "wan",
"wang", "wei", "wen", "weng", "wo", "wu", "xi", "xia", "xian", "xiang", "xiao", "xie", "xin", "xing", "xiong", "xiu",
"xu", "xuan", "xue", "xun", "ya", "yan", "yang", "yao", "ye", "yi", "yin", "ying", "yong", "you", "yu", "yuan",
"yue", "yun", "za", "zai", "zan", "zang", "zao", "ze", "zei", "zen", "zeng", "zha", "zhai", "zhan", "zhang", "zhao",
"zhe", "zhei", "zhen", "zheng", "zhi", "zhong", "zhou", "zhu", "zhua", "zhuai", "zhuan", "zhuang", "zhui", "zhun", "zhuo", "zi",
"zong", "zou", "zuan", "zui", "zun", "zuo", "zu",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi")
// 'basic' language; spoken by default.
/datum/language/common
name = "Galactic Common"
desc = "The common galactic tongue."
speech_verb = "says"
whisper_verb = "whispers"
key = "0"
flags = TONGUELESS_SPEECH | LANGUAGE_HIDE_ICON_IF_UNDERSTOOD
default_priority = 100
icon_state = "galcom"
//Syllable Lists
/*
This list really long, mainly because I can't make up my mind about which mandarin syllables should be removed,
and the english syllables had to be duplicated so that there is roughly a 50-50 weighting.
Sources:
http://www.sttmedia.com/syllablefrequency-english
http://www.chinahighlights.com/travelguide/learning-chinese/pinyin-syllables.htm
*/
/datum/language/common/syllables = list(
"a", "ai", "an", "ang", "ao", "ba", "bai", "ban", "bang", "bao", "bei", "ben", "beng", "bi", "bian", "biao",
"bie", "bin", "bing", "bo", "bu", "ca", "cai", "can", "cang", "cao", "ce", "cei", "cen", "ceng", "cha", "chai",
"chan", "chang", "chao", "che", "chen", "cheng", "chi", "chong", "chou", "chu", "chua", "chuai", "chuan", "chuang", "chui", "chun",
"chuo", "ci", "cong", "cou", "cu", "cuan", "cui", "cun", "cuo", "da", "dai", "dan", "dang", "dao", "de", "dei",
"den", "deng", "di", "dian", "diao", "die", "ding", "diu", "dong", "dou", "du", "duan", "dui", "dun", "duo", "e",
"ei", "en", "er", "fa", "fan", "fang", "fei", "fen", "feng", "fo", "fou", "fu", "ga", "gai", "gan", "gang",
"gao", "ge", "gei", "gen", "geng", "gong", "gou", "gu", "gua", "guai", "guan", "guang", "gui", "gun", "guo", "ha",
"hai", "han", "hang", "hao", "he", "hei", "hen", "heng", "hm", "hng", "hong", "hou", "hu", "hua", "huai", "huan",
"huang", "hui", "hun", "huo", "ji", "jia", "jian", "jiang", "jiao", "jie", "jin", "jing", "jiong", "jiu", "ju", "juan",
"jue", "jun", "ka", "kai", "kan", "kang", "kao", "ke", "kei", "ken", "keng", "kong", "kou", "ku", "kua", "kuai",
"kuan", "kuang", "kui", "kun", "kuo", "la", "lai", "lan", "lang", "lao", "le", "lei", "leng", "li", "lia", "lian",
"liang", "liao", "lie", "lin", "ling", "liu", "long", "lou", "lu", "luan", "lun", "luo", "ma", "mai", "man", "mang",
"mao", "me", "mei", "men", "meng", "mi", "mian", "miao", "mie", "min", "ming", "miu", "mo", "mou", "mu", "na",
"nai", "nan", "nang", "nao", "ne", "nei", "nen", "neng", "ng", "ni", "nian", "niang", "niao", "nie", "nin", "ning",
"niu", "nong", "nou", "nu", "nuan", "nuo", "o", "ou", "pa", "pai", "pan", "pang", "pao", "pei", "pen", "peng",
"pi", "pian", "piao", "pie", "pin", "ping", "po", "pou", "pu", "qi", "qia", "qian", "qiang", "qiao", "qie", "qin",
"qing", "qiong", "qiu", "qu", "quan", "que", "qun", "ran", "rang", "rao", "re", "ren", "reng", "ri", "rong", "rou",
"ru", "rua", "ruan", "rui", "run", "ruo", "sa", "sai", "san", "sang", "sao", "se", "sei", "sen", "seng", "sha",
"shai", "shan", "shang", "shao", "she", "shei", "shen", "sheng", "shi", "shou", "shu", "shua", "shuai", "shuan", "shuang", "shui",
"shun", "shuo", "si", "song", "sou", "su", "suan", "sui", "sun", "suo", "ta", "tai", "tan", "tang", "tao", "te",
"teng", "ti", "tian", "tiao", "tie", "ting", "tong", "tou", "tu", "tuan", "tui", "tun", "tuo", "wa", "wai", "wan",
"wang", "wei", "wen", "weng", "wo", "wu", "xi", "xia", "xian", "xiang", "xiao", "xie", "xin", "xing", "xiong", "xiu",
"xu", "xuan", "xue", "xun", "ya", "yan", "yang", "yao", "ye", "yi", "yin", "ying", "yong", "you", "yu", "yuan",
"yue", "yun", "za", "zai", "zan", "zang", "zao", "ze", "zei", "zen", "zeng", "zha", "zhai", "zhan", "zhang", "zhao",
"zhe", "zhei", "zhen", "zheng", "zhi", "zhong", "zhou", "zhu", "zhua", "zhuai", "zhuan", "zhuang", "zhui", "zhun", "zhuo", "zi",
"zong", "zou", "zuan", "zui", "zun", "zuo", "zu",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi",
"al", "an", "ar", "as", "at", "ea", "ed", "en", "er", "es", "ha", "he", "hi", "in", "is", "it",
"le", "me", "nd", "ne", "ng", "nt", "on", "or", "ou", "re", "se", "st", "te", "th", "ti", "to",
"ve", "wa", "all", "and", "are", "but", "ent", "era", "ere", "eve", "for", "had", "hat", "hen", "her", "hin",
"his", "ing", "ion", "ith", "not", "ome", "oul", "our", "sho", "ted", "ter", "tha", "the", "thi")
+120 -120
View File
@@ -1,120 +1,120 @@
#define SCRAMBLE_CACHE_LEN 50 //maximum of 50 specific scrambled lines per language
/*
Datum based languages. Easily editable and modular.
*/
/datum/language
var/name = "an unknown language" // Fluff name of language if any.
var/desc = "A language." // Short description for 'Check Languages'.
var/speech_verb = "says" // 'says', 'hisses', 'farts'.
var/ask_verb = "asks" // Used when sentence ends in a ?
var/exclaim_verb = "exclaims" // Used when sentence ends in a !
var/whisper_verb = "whispers" // Optional. When not specified speech_verb + quietly/softly is used instead.
var/list/signlang_verb = list("signs", "gestures") // list of emotes that might be displayed if this language has NONVERBAL or SIGNLANG flags
var/key // Character used to speak in language
// If key is null, then the language isn't real or learnable.
var/flags // Various language flags.
var/list/syllables // Used when scrambling text for a non-speaker.
var/sentence_chance = 5 // Likelihood of making a new sentence after each syllable.
var/space_chance = 55 // Likelihood of getting a space in the random scramble string
var/list/spans = list()
var/list/scramble_cache = list()
var/default_priority = 0 // the language that an atom knows with the highest "default_priority" is selected by default.
// if you are seeing someone speak popcorn language, then something is wrong.
var/icon = 'icons/misc/language.dmi'
var/icon_state = "popcorn"
/datum/language/proc/display_icon(atom/movable/hearer)
var/understands = hearer.has_language(src.type)
if(flags & LANGUAGE_HIDE_ICON_IF_UNDERSTOOD && understands)
return FALSE
if(flags & LANGUAGE_HIDE_ICON_IF_NOT_UNDERSTOOD && !understands)
return FALSE
return TRUE
/datum/language/proc/get_icon()
var/datum/asset/spritesheet/sheet = get_asset_datum(/datum/asset/spritesheet/goonchat)
return sheet.icon_tag("language-[icon_state]")
/datum/language/proc/get_random_name(gender, name_count=2, syllable_count=4, syllable_divisor=2)
if(!syllables || !syllables.len)
if(gender==FEMALE)
return capitalize(pick(GLOB.first_names_female)) + " " + capitalize(pick(GLOB.last_names))
else
return capitalize(pick(GLOB.first_names_male)) + " " + capitalize(pick(GLOB.last_names))
var/full_name = ""
var/new_name = ""
for(var/i in 0 to name_count)
new_name = ""
var/Y = rand(FLOOR(syllable_count/syllable_divisor, 1), syllable_count)
for(var/x in Y to 0)
new_name += pick(syllables)
full_name += " [capitalize(lowertext(new_name))]"
return "[trim(full_name)]"
/datum/language/proc/check_cache(input)
var/lookup = scramble_cache[input]
if(lookup)
scramble_cache -= input
scramble_cache[input] = lookup
. = lookup
/datum/language/proc/add_to_cache(input, scrambled_text)
// Add it to cache, cutting old entries if the list is too long
scramble_cache[input] = scrambled_text
if(scramble_cache.len > SCRAMBLE_CACHE_LEN)
scramble_cache.Cut(1, scramble_cache.len-SCRAMBLE_CACHE_LEN-1)
/datum/language/proc/scramble(input)
if(!syllables || !syllables.len)
return stars(input)
// If the input is cached already, move it to the end of the cache and return it
var/lookup = check_cache(input)
if(lookup)
return lookup
var/input_size = length(input)
var/scrambled_text = ""
var/capitalize = TRUE
while(length(scrambled_text) < input_size)
var/next = pick(syllables)
if(capitalize)
next = capitalize(next)
capitalize = FALSE
scrambled_text += next
var/chance = rand(100)
if(chance <= sentence_chance)
scrambled_text += ". "
capitalize = TRUE
else if(chance > sentence_chance && chance <= space_chance)
scrambled_text += " "
scrambled_text = trim(scrambled_text)
var/ending = copytext(scrambled_text, length(scrambled_text))
if(ending == ".")
scrambled_text = copytext(scrambled_text,1,length(scrambled_text)-1)
var/input_ending = copytext(input, input_size)
if(input_ending in list("!","?","."))
scrambled_text += input_ending
add_to_cache(input, scrambled_text)
return scrambled_text
/datum/language/proc/get_spoken_verb(msg_end)
switch(msg_end)
if("!")
return exclaim_verb
if("?")
return ask_verb
return speech_verb
#undef SCRAMBLE_CACHE_LEN
#define SCRAMBLE_CACHE_LEN 50 //maximum of 50 specific scrambled lines per language
/*
Datum based languages. Easily editable and modular.
*/
/datum/language
var/name = "an unknown language" // Fluff name of language if any.
var/desc = "A language." // Short description for 'Check Languages'.
var/speech_verb = "says" // 'says', 'hisses', 'farts'.
var/ask_verb = "asks" // Used when sentence ends in a ?
var/exclaim_verb = "exclaims" // Used when sentence ends in a !
var/whisper_verb = "whispers" // Optional. When not specified speech_verb + quietly/softly is used instead.
var/list/signlang_verb = list("signs", "gestures") // list of emotes that might be displayed if this language has NONVERBAL or SIGNLANG flags
var/key // Character used to speak in language
// If key is null, then the language isn't real or learnable.
var/flags // Various language flags.
var/list/syllables // Used when scrambling text for a non-speaker.
var/sentence_chance = 5 // Likelihood of making a new sentence after each syllable.
var/space_chance = 55 // Likelihood of getting a space in the random scramble string
var/list/spans = list()
var/list/scramble_cache = list()
var/default_priority = 0 // the language that an atom knows with the highest "default_priority" is selected by default.
// if you are seeing someone speak popcorn language, then something is wrong.
var/icon = 'icons/misc/language.dmi'
var/icon_state = "popcorn"
/datum/language/proc/display_icon(atom/movable/hearer)
var/understands = hearer.has_language(src.type)
if(flags & LANGUAGE_HIDE_ICON_IF_UNDERSTOOD && understands)
return FALSE
if(flags & LANGUAGE_HIDE_ICON_IF_NOT_UNDERSTOOD && !understands)
return FALSE
return TRUE
/datum/language/proc/get_icon()
var/datum/asset/spritesheet/sheet = get_asset_datum(/datum/asset/spritesheet/goonchat)
return sheet.icon_tag("language-[icon_state]")
/datum/language/proc/get_random_name(gender, name_count=2, syllable_count=4, syllable_divisor=2)
if(!syllables || !syllables.len)
if(gender==FEMALE)
return capitalize(pick(GLOB.first_names_female)) + " " + capitalize(pick(GLOB.last_names))
else
return capitalize(pick(GLOB.first_names_male)) + " " + capitalize(pick(GLOB.last_names))
var/full_name = ""
var/new_name = ""
for(var/i in 0 to name_count)
new_name = ""
var/Y = rand(FLOOR(syllable_count/syllable_divisor, 1), syllable_count)
for(var/x in Y to 0)
new_name += pick(syllables)
full_name += " [capitalize(lowertext(new_name))]"
return "[trim(full_name)]"
/datum/language/proc/check_cache(input)
var/lookup = scramble_cache[input]
if(lookup)
scramble_cache -= input
scramble_cache[input] = lookup
. = lookup
/datum/language/proc/add_to_cache(input, scrambled_text)
// Add it to cache, cutting old entries if the list is too long
scramble_cache[input] = scrambled_text
if(scramble_cache.len > SCRAMBLE_CACHE_LEN)
scramble_cache.Cut(1, scramble_cache.len-SCRAMBLE_CACHE_LEN-1)
/datum/language/proc/scramble(input)
if(!syllables || !syllables.len)
return stars(input)
// If the input is cached already, move it to the end of the cache and return it
var/lookup = check_cache(input)
if(lookup)
return lookup
var/input_size = length(input)
var/scrambled_text = ""
var/capitalize = TRUE
while(length(scrambled_text) < input_size)
var/next = pick(syllables)
if(capitalize)
next = capitalize(next)
capitalize = FALSE
scrambled_text += next
var/chance = rand(100)
if(chance <= sentence_chance)
scrambled_text += ". "
capitalize = TRUE
else if(chance > sentence_chance && chance <= space_chance)
scrambled_text += " "
scrambled_text = trim(scrambled_text)
var/ending = copytext(scrambled_text, length(scrambled_text))
if(ending == ".")
scrambled_text = copytext(scrambled_text,1,length(scrambled_text)-1)
var/input_ending = copytext(input, input_size)
if(input_ending in list("!","?","."))
scrambled_text += input_ending
add_to_cache(input, scrambled_text)
return scrambled_text
/datum/language/proc/get_spoken_verb(msg_end)
switch(msg_end)
if("!")
return exclaim_verb
if("?")
return ask_verb
return speech_verb
#undef SCRAMBLE_CACHE_LEN
+19 -19
View File
@@ -1,19 +1,19 @@
/datum/language/machine
name = "Encoded Audio Language"
desc = "An efficient language of encoded tones developed by synthetics and cyborgs."
speech_verb = "whistles"
ask_verb = "chirps"
exclaim_verb = "whistles loudly"
spans = list(SPAN_ROBOT)
key = "6"
flags = NO_STUTTER
syllables = list("beep","beep","beep","beep","beep","boop","boop","boop","bop","bop","dee","dee","doo","doo","hiss","hss","buzz","buzz","bzz","ksssh","keey","wurr","wahh","tzzz")
space_chance = 10
default_priority = 90
icon_state = "eal"
/datum/language/machine/get_random_name()
if(prob(70))
return "[pick(GLOB.posibrain_names)]-[rand(100, 999)]"
return pick(GLOB.ai_names)
/datum/language/machine
name = "Encoded Audio Language"
desc = "An efficient language of encoded tones developed by synthetics and cyborgs."
speech_verb = "whistles"
ask_verb = "chirps"
exclaim_verb = "whistles loudly"
spans = list(SPAN_ROBOT)
key = "6"
flags = NO_STUTTER
syllables = list("beep","beep","beep","beep","beep","boop","boop","boop","bop","bop","dee","dee","doo","doo","hiss","hss","buzz","buzz","bzz","ksssh","keey","wurr","wahh","tzzz")
space_chance = 10
default_priority = 90
icon_state = "eal"
/datum/language/machine/get_random_name()
if(prob(70))
return "[pick(GLOB.posibrain_names)]-[rand(100, 999)]"
return pick(GLOB.ai_names)
+12 -12
View File
@@ -1,12 +1,12 @@
/datum/language/monkey
name = "Chimpanzee"
desc = "Ook ook ook."
speech_verb = "chimpers"
ask_verb = "chimpers"
exclaim_verb = "screeches"
key = "1"
space_chance = 100
syllables = list("oop", "aak", "chee", "eek")
default_priority = 80
icon_state = "animal"
/datum/language/monkey
name = "Chimpanzee"
desc = "Ook ook ook."
speech_verb = "chimpers"
ask_verb = "chimpers"
exclaim_verb = "screeches"
key = "1"
space_chance = 100
syllables = list("oop", "aak", "chee", "eek")
default_priority = 80
icon_state = "animal"
+11 -11
View File
@@ -1,11 +1,11 @@
/datum/language/xenocommon
name = "Xenomorph"
desc = "The common tongue of the xenomorphs."
speech_verb = "hisses"
ask_verb = "hisses"
exclaim_verb = "hisses"
key = "4"
syllables = list("sss","sSs","SSS")
default_priority = 50
icon_state = "xeno"
/datum/language/xenocommon
name = "Xenomorph"
desc = "The common tongue of the xenomorphs."
speech_verb = "hisses"
ask_verb = "hisses"
exclaim_verb = "hisses"
key = "4"
syllables = list("sss","sSs","SSS")
default_priority = 50
icon_state = "xeno"