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6ce9f0469f
spaCy/spacy/symbols.pyx
adrianeboyd a5cd203284
Reduce stored lexemes data, move feats to lookups (#5238) 
* Reduce stored lexemes data, move feats to lookups

* Move non-derivable lexemes features (`norm / cluster / prob`) to
`spacy-lookups-data` as lookups
  * Get/set `norm` in both lookups and `LexemeC`, serialize in lookups
  * Remove `cluster` and `prob` from `LexemesC`, get/set/serialize in
    lookups only
* Remove serialization of lexemes data as `vocab/lexemes.bin`
  * Remove `SerializedLexemeC`
  * Remove `Lexeme.to_bytes/from_bytes`
* Modify normalization exception loading:
  * Always create `Vocab.lookups` table `lexeme_norm` for
    normalization exceptions
  * Load base exceptions from `lang.norm_exceptions`, but load
    language-specific exceptions from lookups
  * Set `lex_attr_getter[NORM]` including new lookups table in
    `BaseDefaults.create_vocab()` and when deserializing `Vocab`
* Remove all cached lexemes when deserializing vocab to override
  existing normalizations with the new normalizations (as a replacement
  for the previous step that replaced all lexemes data with the
  deserialized data)

* Skip English normalization test

Skip English normalization test because the data is now in
`spacy-lookups-data`.

* Remove norm exceptions

Moved to spacy-lookups-data.

* Move norm exceptions test to spacy-lookups-data

* Load extra lookups from spacy-lookups-data lazily

Load extra lookups (currently for cluster and prob) lazily from the
entry point `lg_extra` as `Vocab.lookups_extra`.

* Skip creating lexeme cache on load

To improve model loading times, do not create the full lexeme cache when
loading. The lexemes will be created on demand when processing.

* Identify numeric values in Lexeme.set_attrs()

With the removal of a special case for `PROB`, also identify `float` to
avoid trying to convert it with the `StringStore`.

* Skip lexeme cache init in from_bytes

* Unskip and update lookups tests for python3.6+

* Update vocab pickle to include lookups_extra

* Update vocab serialization tests

Check strings rather than lexemes since lexemes aren't initialized
automatically, account for addition of "_SP".

* Re-skip lookups test because of python3.5

* Skip PROB/float values in Lexeme.set_attrs

* Convert is_oov from lexeme flag to lex in vectors

Instead of storing `is_oov` as a lexeme flag, `is_oov` reports whether
the lexeme has a vector.

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-19 15:59:14 +02:00

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# coding: utf8
#cython: optimize.unpack_method_calls=False
from __future__ import unicode_literals
IDS = {
"": NIL,
"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_DEPRECATED": IS_OOV_DEPRECATED,
"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,
"ENT_ID": ENT_ID,
"ENT_KB_ID": ENT_KB_ID,
"HEAD": HEAD,
"SENT_START": SENT_START,
"SPACY": SPACY,
"PROB": PROB,
"LANG": LANG,
"IDX": IDX,
"ADJ": ADJ,
"ADP": ADP,
"ADV": ADV,
"AUX": AUX,
"CONJ": CONJ,
"CCONJ": CCONJ, # U20
"DET": DET,
"INTJ": INTJ,
"NOUN": NOUN,
"NUM": NUM,
"PART": PART,
"PRON": PRON,
"PROPN": PROPN,
"PUNCT": PUNCT,
"SCONJ": SCONJ,
"SYM": SYM,
"VERB": VERB,
"X": X,
"EOL": EOL,
"SPACE": SPACE,
"Animacy_anim": Animacy_anim,
"Animacy_inam": Animacy_inan,
"Animacy_hum": Animacy_hum, # U20
"Animacy_nhum": Animacy_nhum,
"Aspect_freq": Aspect_freq,
"Aspect_imp": Aspect_imp,
"Aspect_mod": Aspect_mod,
"Aspect_none": Aspect_none,
"Aspect_perf": Aspect_perf,
"Aspect_iter": Aspect_iter, # U20
"Aspect_hab": Aspect_hab, # U20
"Case_abe": Case_abe,
"Case_abl": Case_abl,
"Case_abs": Case_abs,
"Case_acc": Case_acc,
"Case_ade": Case_ade,
"Case_all": Case_all,
"Case_cau": Case_cau,
"Case_com": Case_com,
"Case_cmp": Case_cmp, # U20
"Case_dat": Case_dat,
"Case_del": Case_del,
"Case_dis": Case_dis,
"Case_ela": Case_ela,
"Case_equ": Case_equ, # U20
"Case_ess": Case_ess,
"Case_gen": Case_gen,
"Case_ill": Case_ill,
"Case_ine": Case_ine,
"Case_ins": Case_ins,
"Case_loc": Case_loc,
"Case_lat": Case_lat,
"Case_nom": Case_nom,
"Case_par": Case_par,
"Case_sub": Case_sub,
"Case_sup": Case_sup,
"Case_tem": Case_tem,
"Case_ter": Case_ter,
"Case_tra": Case_tra,
"Case_voc": Case_voc,
"Definite_two": Definite_two,
"Definite_def": Definite_def,
"Definite_red": Definite_red,
"Definite_cons": Definite_cons, # U20
"Definite_ind": Definite_ind,
"Definite_spec": Definite_spec, # U20
"Degree_cmp": Degree_cmp,
"Degree_comp": Degree_comp,
"Degree_none": Degree_none,
"Degree_pos": Degree_pos,
"Degree_sup": Degree_sup,
"Degree_abs": Degree_abs,
"Degree_com": Degree_com,
"Degree_dim": Degree_dim, # du
"Degree_equ": Degree_equ, # U20
"Evident_nfh": Evident_nfh, # U20
"Gender_com": Gender_com,
"Gender_fem": Gender_fem,
"Gender_masc": Gender_masc,
"Gender_neut": Gender_neut,
"Mood_cnd": Mood_cnd,
"Mood_imp": Mood_imp,
"Mood_ind": Mood_ind,
"Mood_n": Mood_n,
"Mood_pot": Mood_pot,
"Mood_sub": Mood_sub,
"Mood_opt": Mood_opt,
"Mood_prp": Mood_prp, # U20
"Mood_adm": Mood_adm, # U20
"Negative_neg": Negative_neg,
"Negative_pos": Negative_pos,
"Negative_yes": Negative_yes,
"Polarity_neg": Polarity_neg, # U20
"Polarity_pos": Polarity_pos, # U20
"Number_com": Number_com,
"Number_dual": Number_dual,
"Number_none": Number_none,
"Number_plur": Number_plur,
"Number_sing": Number_sing,
"Number_ptan": Number_ptan, # bg
"Number_count": Number_count, # bg, U20
"Number_tri": Number_tri, # U20
"NumType_card": NumType_card,
"NumType_dist": NumType_dist,
"NumType_frac": NumType_frac,
"NumType_gen": NumType_gen,
"NumType_mult": NumType_mult,
"NumType_none": NumType_none,
"NumType_ord": NumType_ord,
"NumType_sets": NumType_sets,
"Person_one": Person_one,
"Person_two": Person_two,
"Person_three": Person_three,
"Person_none": Person_none,
"Poss_yes": Poss_yes,
"PronType_advPart": PronType_advPart,
"PronType_art": PronType_art,
"PronType_default": PronType_default,
"PronType_dem": PronType_dem,
"PronType_ind": PronType_ind,
"PronType_int": PronType_int,
"PronType_neg": PronType_neg,
"PronType_prs": PronType_prs,
"PronType_rcp": PronType_rcp,
"PronType_rel": PronType_rel,
"PronType_tot": PronType_tot,
"PronType_clit": PronType_clit,
"PronType_exc": PronType_exc, # es, ca, it, fa, U20
"PronType_emp": PronType_emp, # U20
"Reflex_yes": Reflex_yes,
"Tense_fut": Tense_fut,
"Tense_imp": Tense_imp,
"Tense_past": Tense_past,
"Tense_pres": Tense_pres,
"VerbForm_fin": VerbForm_fin,
"VerbForm_ger": VerbForm_ger,
"VerbForm_inf": VerbForm_inf,
"VerbForm_none": VerbForm_none,
"VerbForm_part": VerbForm_part,
"VerbForm_partFut": VerbForm_partFut,
"VerbForm_partPast": VerbForm_partPast,
"VerbForm_partPres": VerbForm_partPres,
"VerbForm_sup": VerbForm_sup,
"VerbForm_trans": VerbForm_trans,
"VerbForm_conv": VerbForm_conv, # U20
"VerbForm_gdv": VerbForm_gdv, # la,
"VerbForm_vnoun": VerbForm_vnoun, # U20
"Voice_act": Voice_act,
"Voice_cau": Voice_cau,
"Voice_pass": Voice_pass,
"Voice_mid": Voice_mid, # gkc, U20
"Voice_int": Voice_int, # hb,
"Voice_antip": Voice_antip, # U20
"Voice_dir": Voice_dir, # U20
"Voice_inv": Voice_inv, # U20
"Abbr_yes": Abbr_yes, # cz, fi, sl, U,
"AdpType_prep": AdpType_prep, # cz, U,
"AdpType_post": AdpType_post, # U,
"AdpType_voc": AdpType_voc, # cz,
"AdpType_comprep": AdpType_comprep, # cz,
"AdpType_circ": AdpType_circ, # U,
"AdvType_man": AdvType_man,
"AdvType_loc": AdvType_loc,
"AdvType_tim": AdvType_tim,
"AdvType_deg": AdvType_deg,
"AdvType_cau": AdvType_cau,
"AdvType_mod": AdvType_mod,
"AdvType_sta": AdvType_sta,
"AdvType_ex": AdvType_ex,
"AdvType_adadj": AdvType_adadj,
"ConjType_oper": ConjType_oper, # cz, U,
"ConjType_comp": ConjType_comp, # cz, U,
"Connegative_yes": Connegative_yes, # fi,
"Derivation_minen": Derivation_minen, # fi,
"Derivation_sti": Derivation_sti, # fi,
"Derivation_inen": Derivation_inen, # fi,
"Derivation_lainen": Derivation_lainen, # fi,
"Derivation_ja": Derivation_ja, # fi,
"Derivation_ton": Derivation_ton, # fi,
"Derivation_vs": Derivation_vs, # fi,
"Derivation_ttain": Derivation_ttain, # fi,
"Derivation_ttaa": Derivation_ttaa, # fi,
"Echo_rdp": Echo_rdp, # U,
"Echo_ech": Echo_ech, # U,
"Foreign_foreign": Foreign_foreign, # cz, fi, U,
"Foreign_fscript": Foreign_fscript, # cz, fi, U,
"Foreign_tscript": Foreign_tscript, # cz, U,
"Foreign_yes": Foreign_yes, # sl,
"Gender_dat_masc": Gender_dat_masc, # bq, U,
"Gender_dat_fem": Gender_dat_fem, # bq, U,
"Gender_erg_masc": Gender_erg_masc, # bq,
"Gender_erg_fem": Gender_erg_fem, # bq,
"Gender_psor_masc": Gender_psor_masc, # cz, sl, U,
"Gender_psor_fem": Gender_psor_fem, # cz, sl, U,
"Gender_psor_neut": Gender_psor_neut, # sl,
"Hyph_yes": Hyph_yes, # cz, U,
"InfForm_one": InfForm_one, # fi,
"InfForm_two": InfForm_two, # fi,
"InfForm_three": InfForm_three, # fi,
"NameType_geo": NameType_geo, # U, cz,
"NameType_prs": NameType_prs, # U, cz,
"NameType_giv": NameType_giv, # U, cz,
"NameType_sur": NameType_sur, # U, cz,
"NameType_nat": NameType_nat, # U, cz,
"NameType_com": NameType_com, # U, cz,
"NameType_pro": NameType_pro, # U, cz,
"NameType_oth": NameType_oth, # U, cz,
"NounType_com": NounType_com, # U,
"NounType_prop": NounType_prop, # U,
"NounType_class": NounType_class, # U,
"Number_abs_sing": Number_abs_sing, # bq, U,
"Number_abs_plur": Number_abs_plur, # bq, U,
"Number_dat_sing": Number_dat_sing, # bq, U,
"Number_dat_plur": Number_dat_plur, # bq, U,
"Number_erg_sing": Number_erg_sing, # bq, U,
"Number_erg_plur": Number_erg_plur, # bq, U,
"Number_psee_sing": Number_psee_sing, # U,
"Number_psee_plur": Number_psee_plur, # U,
"Number_psor_sing": Number_psor_sing, # cz, fi, sl, U,
"Number_psor_plur": Number_psor_plur, # cz, fi, sl, U,
"Number_pauc": Number_pauc, # U20
"Number_grpa": Number_grpa, # U20
"Number_grpl": Number_grpl, # U20
"Number_inv": Number_inv, # U20
"NumForm_digit": NumForm_digit, # cz, sl, U,
"NumForm_roman": NumForm_roman, # cz, sl, U,
"NumForm_word": NumForm_word, # cz, sl, U,
"NumValue_one": NumValue_one, # cz, U,
"NumValue_two": NumValue_two, # cz, U,
"NumValue_three": NumValue_three, # cz, U,
"PartForm_pres": PartForm_pres, # fi,
"PartForm_past": PartForm_past, # fi,
"PartForm_agt": PartForm_agt, # fi,
"PartForm_neg": PartForm_neg, # fi,
"PartType_mod": PartType_mod, # U,
"PartType_emp": PartType_emp, # U,
"PartType_res": PartType_res, # U,
"PartType_inf": PartType_inf, # U,
"PartType_vbp": PartType_vbp, # U,
"Person_abs_one": Person_abs_one, # bq, U,
"Person_abs_two": Person_abs_two, # bq, U,
"Person_abs_three": Person_abs_three, # bq, U,
"Person_dat_one": Person_dat_one, # bq, U,
"Person_dat_two": Person_dat_two, # bq, U,
"Person_dat_three": Person_dat_three, # bq, U,
"Person_erg_one": Person_erg_one, # bq, U,
"Person_erg_two": Person_erg_two, # bq, U,
"Person_erg_three": Person_erg_three, # bq, U,
"Person_psor_one": Person_psor_one, # fi, U,
"Person_psor_two": Person_psor_two, # fi, U,
"Person_psor_three": Person_psor_three, # fi, U,
"Person_zero": Person_zero, # U20
"Person_four": Person_four, # U20
"Polite_inf": Polite_inf, # bq, U,
"Polite_pol": Polite_pol, # bq, U,
"Polite_abs_inf": Polite_abs_inf, # bq, U,
"Polite_abs_pol": Polite_abs_pol, # bq, U,
"Polite_erg_inf": Polite_erg_inf, # bq, U,
"Polite_erg_pol": Polite_erg_pol, # bq, U,
"Polite_dat_inf": Polite_dat_inf, # bq, U,
"Polite_dat_pol": Polite_dat_pol, # bq, U,
"Polite_infm": Polite_infm, # U20
"Polite_form": Polite_form, # U20
"Polite_form_elev": Polite_form_elev, # U20
"Polite_form_humb": Polite_form_humb, # U20
"Prefix_yes": Prefix_yes, # U,
"PrepCase_npr": PrepCase_npr, # cz,
"PrepCase_pre": PrepCase_pre, # U,
"PunctSide_ini": PunctSide_ini, # U,
"PunctSide_fin": PunctSide_fin, # U,
"PunctType_peri": PunctType_peri, # U,
"PunctType_qest": PunctType_qest, # U,
"PunctType_excl": PunctType_excl, # U,
"PunctType_quot": PunctType_quot, # U,
"PunctType_brck": PunctType_brck, # U,
"PunctType_comm": PunctType_comm, # U,
"PunctType_colo": PunctType_colo, # U,
"PunctType_semi": PunctType_semi, # U,
"PunctType_dash": PunctType_dash, # U,
"Style_arch": Style_arch, # cz, fi, U,
"Style_rare": Style_rare, # cz, fi, U,
"Style_poet": Style_poet, # cz, U,
"Style_norm": Style_norm, # cz, U,
"Style_coll": Style_coll, # cz, U,
"Style_vrnc": Style_vrnc, # cz, U,
"Style_sing": Style_sing, # cz, U,
"Style_expr": Style_expr, # cz, U,
"Style_derg": Style_derg, # cz, U,
"Style_vulg": Style_vulg, # cz, U,
"Style_yes": Style_yes, # fi, U,
"StyleVariant_styleShort": StyleVariant_styleShort, # cz,
"StyleVariant_styleBound": StyleVariant_styleBound, # cz, sl,
"VerbType_aux": VerbType_aux, # U,
"VerbType_cop": VerbType_cop, # U,
"VerbType_mod": VerbType_mod, # U,
"VerbType_light": VerbType_light, # U,
"PERSON": PERSON,
"NORP": NORP,
"FACILITY": FACILITY,
"ORG": ORG,
"GPE": GPE,
"LOC": LOC,
"PRODUCT": PRODUCT,
"EVENT": EVENT,
"WORK_OF_ART": WORK_OF_ART,
"LANGUAGE": LANGUAGE,
"DATE": DATE,
"TIME": TIME,
"PERCENT": PERCENT,
"MONEY": MONEY,
"QUANTITY": QUANTITY,
"ORDINAL": ORDINAL,
"CARDINAL": CARDINAL,
"acomp": acomp,
"advcl": advcl,
"advmod": advmod,
"agent": agent,
"amod": amod,
"appos": appos,
"attr": attr,
"aux": aux,
"auxpass": auxpass,
"cc": cc,
"ccomp": ccomp,
"complm": complm,
"conj": conj,
"cop": cop, # U20
"csubj": csubj,
"csubjpass": csubjpass,
"dep": dep,
"det": det,
"dobj": dobj,
"expl": expl,
"hmod": hmod,
"hyph": hyph,
"infmod": infmod,
"intj": intj,
"iobj": iobj,
"mark": mark,
"meta": meta,
"neg": neg,
"nmod": nmod,
"nn": nn,
"npadvmod": npadvmod,
"nsubj": nsubj,
"nsubjpass": nsubjpass,
"num": num,
"number": number,
"oprd": oprd,
"obj": obj, # U20
"obl": obl, # U20
"parataxis": parataxis,
"partmod": partmod,
"pcomp": pcomp,
"pobj": pobj,
"poss": poss,
"possessive": possessive,
"preconj": preconj,
"prep": prep,
"prt": prt,
"punct": punct,
"quantmod": quantmod,
"rcmod": rcmod,
"relcl": relcl,
"root": root,
"xcomp": xcomp,
"acl": acl,
"LAW": LAW,
}
def sort_nums(x):
return x[1]
PRON_LEMMA = "-PRON-"
NAMES = [it[0] for it in sorted(IDS.items(), key=sort_nums)]
# Unfortunate hack here, to work around problem with long cpdef enum
# (which is generating an enormous amount of C++ in Cython 0.24+)
# We keep the enum cdef, and just make sure the names are available to Python
locals().update(IDS)
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