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Yogstation/code/modules/language/language.dm
Nich d957ab7e26 Use spritesheets to reduce time spent sending PNG assets by 90+% (#37399)
The total number of assets to be sent has been reduced from 1532 to 76, with time between first asset and last going from about 112s to about 7s (a 93% reduction) by my measure. The following assets have been coalesced:

    705 pipe images (used by RPD) -> 1 spritesheet + css
    595 research design icons (used by R&D console) -> 3 spritesheets + css
    116 OOC emoji + 15 language icons -> 1 spritesheet + css
    27 PDA icons -> 1 spritesheet + css
    11 paperwork stamps -> 1 spritesheet + css
2018-05-11 22:39:09 +02:00

121 lines
4.3 KiB
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#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