/
verbs.py
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/
verbs.py
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import re
from characters import accent, strip_length
from characters import strip_accents, remove_redundant_macron
from accentuation import recessive, persistent, on_penult, make_oxytone
# from syllabify import add_necessary_breathing
import yaml
from utils import remove_duplicates
with open("stemming.yaml") as f:
stemming_rules = yaml.load(f)
def debreath(word):
word = word.replace("εἷ", "hεῖ")
word = word.replace("εἵ", "hεί")
word = word.replace("εἱ", "hει")
word = word.replace("ἕ", "hέ")
word = word.replace("ἑ", "hε")
return word
def rebreath(word):
word = word.replace("hεῖ", "εἷ")
word = word.replace("hεί", "εἵ")
word = word.replace("hει", "εἱ")
word = word.replace("hέ", "ἕ")
word = word.replace("hε", "ἑ")
# word = add_necessary_breathing(word)
word = remove_redundant_macron(word)
return word
class Base:
def regex_list(self, lemma, parse, context):
result = None
if "stems" not in self.lexicon[lemma]:
raise KeyError(lemma)
for k, v in self.lexicon[lemma]["stems"].items():
if "/" in k:
k, context_to_match = k.split("/")
if not (context and re.match(context_to_match, context)):
continue
regex = {
"1-": "P",
"1+": "I",
"2-": "F[AM]",
"3-": "A[AM][NP]",
"3+": "A[AM][I]",
"4-": "XA",
"4-S": "XAI..S",
"4-P": "XAI..P",
"4-NP": "XA[NP]",
"4+": "YA",
"5-": "X[MP]",
"5+": "Y[MP]",
"6-": "AP[NP]",
"6+": "AP[I]",
"7-": "FP",
}[k]
if re.match(regex, parse):
result = v
for k, v in self.lexicon[lemma].get("stem_overrides", []):
if re.match(k, parse):
result = v
return result
class Lexicon(Base):
def __init__(self, lexicon):
with open(lexicon) as f:
self.lexicon = yaml.load(f)
def generate(self, lemma, parse, allow_form_override=True, context=None):
answers = []
stems = None
accent_override = None
is_enclitic = False
ending_override = None
if lemma in self.lexicon:
if allow_form_override:
answer = self.lexicon[lemma].get("forms", {}).get(parse)
if answer:
return answer
stems = self.regex_list(lemma, parse, context)
if "." in parse:
accents = self.lexicon[lemma].get("accents", {}).get(parse.split(".")[0])
if accents == "enclitic":
is_enclitic = True
else:
accent_override = accents
ending_override = self.lexicon[lemma].get("endings", {}).get(parse)
if stems is None:
return
else:
stems = stems.split("/")
if parse not in stemming_rules:
return
for stem in stems:
stem = debreath(stem)
pairs = stemming_rules[parse]
while isinstance(pairs, dict) and "ref" in pairs:
if pairs["ref"] in stemming_rules:
pairs = stemming_rules[pairs["ref"]]
else:
# @@@ raise error?
return
base_endings = []
default = []
for rule in pairs:
s1, s234, s5 = rule.split("|")
s2, s34 = s234.split(">")
s3, s4 = s34.split("<")
if stem.endswith(strip_accents(s1 + s2)):
if s2:
base = stem[:-len(s2)]
else:
base = stem
else:
continue
if ending_override:
ending_list = ending_override.split("/")
else:
ending_list = [s3 + s5]
if s1 + s2:
base_endings.append((base, ending_list))
else:
default.append((base, ending_list))
# only use default if there are no other options
if len(base_endings) == 0 and len(default) > 0:
base_endings = default
for base, ending_list in base_endings:
for ending in ending_list:
if accent(ending):
answers.append((base + ending).replace("|", ""))
elif is_enclitic:
answers.append(make_oxytone(base + ending).replace("|", ""))
else:
if parse[2] == "P":
if accent_override:
answers.append(persistent(base + ending, accent_override))
elif parse == "AAP.NSM" and ending == "ων":
answers.append(make_oxytone(base + ending).replace("|", ""))
elif parse == "AAP.NSM" and ending == "_3+ς":
answers.append(make_oxytone(base + ending).replace("|", ""))
elif parse == "PAP.NSM" and ending == "_3+ς":
answers.append(make_oxytone(base + ending).replace("|", ""))
elif parse[0:3] == "AAP" and parse != "AAP.NSM":
# calculate NSM
nsms = self.generate(lemma, "AAP.NSM", context=context)
nsms = nsms.split("/")
for nsm in nsms:
if nsm.endswith(("ών", "ούς")):
answers.append(persistent(base + ending, nsm))
else:
answers.append(persistent(base + ending, lemma))
elif parse[0:3] == "PAP" and parse != "PAP.NSM":
# calculate NSM
nsms = self.generate(lemma, "PAP.NSM").split("/")
for nsm in nsms:
nsm = strip_length(nsm)
answers.append(persistent(base + ending, nsm))
else:
answers.append(recessive(base + ending, default_short=True))
elif parse[0:3] in ["AAN", "XAN", "XMN", "XPN"]:
answers.append(on_penult(base + ending, default_short=True))
elif parse[0:3] == "PAN" and stem.endswith("!"):
answers.append(on_penult(base + ending, default_short=True))
else:
answers.append(recessive(base + ending, default_short=True))
return "/".join(remove_duplicates(rebreath(w) for w in answers))