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language.py
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language.py
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archer_phrasing_phrases = [
"begging for it", "gaping hole", "just the tip", "my box"
]
are_you_phrases = [
"are you", "r you", "are u", "r u",
"re you", "re u", "ru"
]
better_adjectives = [
"better", "good", "well"
]
byte_nouns = [
"byte", "bytes"
]
convert_verbs = [
"convert", "converted"
]
define_verbs = [
"define", "defined", "defines", "defining"
]
do_verbs = [
"do", "done"
]
eat_verbs = [
"ate", "eat", "eaten", "eating", "eats"
]
message_nouns = [
"message", "messages"
]
names = [
"percy", "persephone", "seph"
]
object_nouns = [
"object", "objects"
]
philosophers = [
"alan watts"
]
possible_actions = [
"paper", "rock", "scissors"
]
questions = [
"can", "do", "does", "how",
"what", "when", "where", "who",
"why", "will"
]
quote_nouns = [
"quote",
"quotes"
]
thank_you_variants = [
"thank u", "thank you", "thanks", "thanx",
"thnx"
]
tooth_nouns = [
"teeth", "tooth"
]
try_verbs = [
"tried", "tries", "try", "trying"
]
what_is_phrases = [
"wat is", "wats", "what is", "what's"
]
you_variations = [
"you", "u"
]
yourself_pronouns = [
"yourself", "yourselves"
]