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ook ook language
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LetterJay
@@ -1,27 +1,25 @@
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#define SCRAMBLE_CACHE_LEN 50 //maximum of 50 specific scrambled lines per language
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/*
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Datum based languages. Easily editable and modular.
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*/
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/datum/language
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var/name = "an unknown language" // Fluff name of language if any.
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var/desc = "A language." // Short description for 'Check Languages'.
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var/speech_verb = "says" // 'says', 'hisses', 'farts'.
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var/ask_verb = "asks" // Used when sentence ends in a ?
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var/exclaim_verb = "exclaims" // Used when sentence ends in a !
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var/whisper_verb = "whispers" // Optional. When not specified speech_verb + quietly/softly is used instead.
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var/list/signlang_verb = list("signs", "gestures") // list of emotes that might be displayed if this language has NONVERBAL or SIGNLANG flags
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/*
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Datum based languages. Easily editable and modular.
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*/
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/datum/language
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var/name = "an unknown language" // Fluff name of language if any.
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var/desc = "A language." // Short description for 'Check Languages'.
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var/speech_verb = "says" // 'says', 'hisses', 'farts'.
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var/ask_verb = "asks" // Used when sentence ends in a ?
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var/exclaim_verb = "exclaims" // Used when sentence ends in a !
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var/whisper_verb = "whispers" // Optional. When not specified speech_verb + quietly/softly is used instead.
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var/list/signlang_verb = list("signs", "gestures") // list of emotes that might be displayed if this language has NONVERBAL or SIGNLANG flags
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var/key // Character used to speak in language
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// If key is null, then the language isn't real or learnable.
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var/flags // Various language flags.
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var/list/syllables // Used when scrambling text for a non-speaker.
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var/list/sentence_chance = 5 // Likelihood of making a new sentence after each syllable.
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var/list/space_chance = 55 // Likelihood of getting a space in the random scramble string
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var/list/spans = list()
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var/static/list/scramble_cache = list()
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var/default_priority = 0 // the language that an atom knows with the highest "default_priority" is selected by default.
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var/flags // Various language flags.
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var/list/syllables // Used when scrambling text for a non-speaker.
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var/list/spans = list()
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var/static/list/scramble_cache = list()
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var/default_priority = 0 // the language that an atom knows with the highest "default_priority" is selected by default.
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// if you are seeing someone speak popcorn language, then something is wrong.
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var/icon = 'icons/misc/language.dmi'
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var/icon_state = "popcorn"
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@@ -37,75 +35,75 @@
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/datum/language/proc/get_icon()
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return "<img class=icon src=\ref[icon] iconstate='[icon_state]'>"
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/datum/language/proc/get_random_name(gender, name_count=2, syllable_count=4, syllable_divisor=2)
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if(!syllables || !syllables.len)
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if(gender==FEMALE)
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return capitalize(pick(GLOB.first_names_female)) + " " + capitalize(pick(GLOB.last_names))
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else
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return capitalize(pick(GLOB.first_names_male)) + " " + capitalize(pick(GLOB.last_names))
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var/full_name = ""
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var/new_name = ""
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for(var/i in 0 to name_count)
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new_name = ""
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var/Y = rand(Floor(syllable_count/syllable_divisor), syllable_count)
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for(var/x in Y to 0)
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new_name += pick(syllables)
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full_name += " [capitalize(lowertext(new_name))]"
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return "[trim(full_name)]"
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/datum/language/proc/scramble(input)
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if(!syllables || !syllables.len)
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return stars(input)
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// If the input is cached already, move it to the end of the cache and return it
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var/lookup = scramble_cache[input]
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if(lookup)
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scramble_cache -= input
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scramble_cache[input] = lookup
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return lookup
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var/input_size = length(input)
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var/scrambled_text = ""
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var/capitalize = TRUE
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while(length(scrambled_text) < input_size)
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var/next = pick(syllables)
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if(capitalize)
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next = capitalize(next)
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capitalize = FALSE
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scrambled_text += next
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var/chance = rand(100)
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if(chance <= sentence_chance)
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scrambled_text += ". "
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capitalize = TRUE
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else if(chance > sentence_chance && chance <= space_chance)
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scrambled_text += " "
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scrambled_text = trim(scrambled_text)
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var/ending = copytext(scrambled_text, length(scrambled_text))
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if(ending == ".")
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scrambled_text = copytext(scrambled_text,1,length(scrambled_text)-1)
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var/input_ending = copytext(input, input_size)
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if(input_ending in list("!","?","."))
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scrambled_text += input_ending
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// Add it to cache, cutting old entries if the list is too long
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scramble_cache[input] = scrambled_text
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if(scramble_cache.len > SCRAMBLE_CACHE_LEN)
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scramble_cache.Cut(1, scramble_cache.len-SCRAMBLE_CACHE_LEN-1)
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return scrambled_text
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/datum/language/proc/get_spoken_verb(msg_end)
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switch(msg_end)
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if("!")
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return exclaim_verb
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if("?")
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return ask_verb
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return speech_verb
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#undef SCRAMBLE_CACHE_LEN
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/datum/language/proc/get_random_name(gender, name_count=2, syllable_count=4, syllable_divisor=2)
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if(!syllables || !syllables.len)
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if(gender==FEMALE)
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return capitalize(pick(GLOB.first_names_female)) + " " + capitalize(pick(GLOB.last_names))
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else
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return capitalize(pick(GLOB.first_names_male)) + " " + capitalize(pick(GLOB.last_names))
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var/full_name = ""
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var/new_name = ""
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for(var/i in 0 to name_count)
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new_name = ""
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var/Y = rand(Floor(syllable_count/syllable_divisor), syllable_count)
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for(var/x in Y to 0)
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new_name += pick(syllables)
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full_name += " [capitalize(lowertext(new_name))]"
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return "[trim(full_name)]"
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/datum/language/proc/scramble(input)
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if(!syllables || !syllables.len)
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return stars(input)
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// If the input is cached already, move it to the end of the cache and return it
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var/lookup = scramble_cache[input]
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if(lookup)
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scramble_cache -= input
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scramble_cache[input] = lookup
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return lookup
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var/input_size = length(input)
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var/scrambled_text = ""
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var/capitalize = TRUE
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while(length(scrambled_text) < input_size)
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var/next = pick(syllables)
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if(capitalize)
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next = capitalize(next)
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capitalize = FALSE
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scrambled_text += next
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var/chance = rand(100)
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if(chance <= sentence_chance)
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scrambled_text += ". "
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capitalize = TRUE
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else if(chance > sentence_chance && chance <= space_chance)
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scrambled_text += " "
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scrambled_text = trim(scrambled_text)
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var/ending = copytext(scrambled_text, length(scrambled_text))
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if(ending == ".")
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scrambled_text = copytext(scrambled_text,1,length(scrambled_text)-1)
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var/input_ending = copytext(input, input_size)
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if(input_ending in list("!","?","."))
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scrambled_text += input_ending
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// Add it to cache, cutting old entries if the list is too long
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scramble_cache[input] = scrambled_text
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if(scramble_cache.len > SCRAMBLE_CACHE_LEN)
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scramble_cache.Cut(1, scramble_cache.len-SCRAMBLE_CACHE_LEN-1)
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return scrambled_text
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/datum/language/proc/get_spoken_verb(msg_end)
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switch(msg_end)
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if("!")
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return exclaim_verb
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if("?")
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return ask_verb
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return speech_verb
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#undef SCRAMBLE_CACHE_LEN
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