spaCy/spacy/attrs.pyx

155 lines
4.4 KiB
Cython

# coding: utf8
from __future__ import unicode_literals
IDS = {
"": NULL_ATTR,
"IS_ALPHA": IS_ALPHA,
"IS_ASCII": IS_ASCII,
"IS_DIGIT": IS_DIGIT,
"IS_LOWER": IS_LOWER,
"IS_PUNCT": IS_PUNCT,
"IS_SPACE": IS_SPACE,
"IS_TITLE": IS_TITLE,
"IS_UPPER": IS_UPPER,
"LIKE_URL": LIKE_URL,
"LIKE_NUM": LIKE_NUM,
"LIKE_EMAIL": LIKE_EMAIL,
"IS_STOP": IS_STOP,
"IS_OOV": IS_OOV,
"IS_BRACKET": IS_BRACKET,
"IS_QUOTE": IS_QUOTE,
"IS_LEFT_PUNCT": IS_LEFT_PUNCT,
"IS_RIGHT_PUNCT": IS_RIGHT_PUNCT,
"IS_CURRENCY": IS_CURRENCY,
"FLAG19": FLAG19,
"FLAG20": FLAG20,
"FLAG21": FLAG21,
"FLAG22": FLAG22,
"FLAG23": FLAG23,
"FLAG24": FLAG24,
"FLAG25": FLAG25,
"FLAG26": FLAG26,
"FLAG27": FLAG27,
"FLAG28": FLAG28,
"FLAG29": FLAG29,
"FLAG30": FLAG30,
"FLAG31": FLAG31,
"FLAG32": FLAG32,
"FLAG33": FLAG33,
"FLAG34": FLAG34,
"FLAG35": FLAG35,
"FLAG36": FLAG36,
"FLAG37": FLAG37,
"FLAG38": FLAG38,
"FLAG39": FLAG39,
"FLAG40": FLAG40,
"FLAG41": FLAG41,
"FLAG42": FLAG42,
"FLAG43": FLAG43,
"FLAG44": FLAG44,
"FLAG45": FLAG45,
"FLAG46": FLAG46,
"FLAG47": FLAG47,
"FLAG48": FLAG48,
"FLAG49": FLAG49,
"FLAG50": FLAG50,
"FLAG51": FLAG51,
"FLAG52": FLAG52,
"FLAG53": FLAG53,
"FLAG54": FLAG54,
"FLAG55": FLAG55,
"FLAG56": FLAG56,
"FLAG57": FLAG57,
"FLAG58": FLAG58,
"FLAG59": FLAG59,
"FLAG60": FLAG60,
"FLAG61": FLAG61,
"FLAG62": FLAG62,
"FLAG63": FLAG63,
"ID": ID,
"ORTH": ORTH,
"LOWER": LOWER,
"NORM": NORM,
"SHAPE": SHAPE,
"PREFIX": PREFIX,
"SUFFIX": SUFFIX,
"LENGTH": LENGTH,
"CLUSTER": CLUSTER,
"LEMMA": LEMMA,
"POS": POS,
"TAG": TAG,
"DEP": DEP,
"ENT_IOB": ENT_IOB,
"ENT_TYPE": ENT_TYPE,
"HEAD": HEAD,
"SENT_START": SENT_START,
"SPACY": SPACY,
"PROB": PROB,
"LANG": LANG,
}
# ATTR IDs, in order of the symbol
NAMES = [key for key, value in sorted(IDS.items(), key=lambda item: item[1])]
locals().update(IDS)
def intify_attrs(stringy_attrs, strings_map=None, _do_deprecated=False):
"""
Normalize a dictionary of attributes, converting them to ints.
stringy_attrs (dict): Dictionary keyed by attribute string names. Values
can be ints or strings.
strings_map (StringStore): Defaults to None. If provided, encodes string
values into ints.
RETURNS (dict): Attributes dictionary with keys and optionally values
converted to ints.
"""
inty_attrs = {}
if _do_deprecated:
if 'F' in stringy_attrs:
stringy_attrs["ORTH"] = stringy_attrs.pop("F")
if 'L' in stringy_attrs:
stringy_attrs["LEMMA"] = stringy_attrs.pop("L")
if 'pos' in stringy_attrs:
stringy_attrs["TAG"] = stringy_attrs.pop("pos")
if 'morph' in stringy_attrs:
morphs = stringy_attrs.pop('morph')
if 'number' in stringy_attrs:
stringy_attrs.pop('number')
if 'tenspect' in stringy_attrs:
stringy_attrs.pop('tenspect')
morph_keys = [
'PunctType', 'PunctSide', 'Other', 'Degree', 'AdvType', 'Number',
'VerbForm', 'PronType', 'Aspect', 'Tense', 'PartType', 'Poss',
'Hyph', 'ConjType', 'NumType', 'Foreign', 'VerbType', 'NounType',
'Gender', 'Mood', 'Negative', 'Tense', 'Voice', 'Abbr',
'Derivation', 'Echo', 'Foreign', 'NameType', 'NounType', 'NumForm',
'NumValue', 'PartType', 'Polite', 'StyleVariant',
'PronType', 'AdjType', 'Person', 'Variant', 'AdpType',
'Reflex', 'Negative', 'Mood', 'Aspect', 'Case',
'Polarity', 'PrepCase', 'Animacy' # U20
]
for key in morph_keys:
if key in stringy_attrs:
stringy_attrs.pop(key)
elif key.lower() in stringy_attrs:
stringy_attrs.pop(key.lower())
elif key.upper() in stringy_attrs:
stringy_attrs.pop(key.upper())
for name, value in stringy_attrs.items():
if isinstance(name, int):
int_key = name
else:
int_key = IDS[name.upper()]
if strings_map is not None and isinstance(value, basestring):
if hasattr(strings_map, 'add'):
value = strings_map.add(value)
else:
value = strings_map[value]
inty_attrs[int_key] = value
return inty_attrs