spaCy/spacy/vocab.pxd

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from cymem.cymem cimport Pool
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from libcpp.vector cimport vector
from murmurhash.mrmr cimport hash64
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from preshed.maps cimport PreshMap
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from .morphology cimport Morphology
from .strings cimport StringStore
from .structs cimport LexemeC, TokenC
from .typedefs cimport attr_t, hash_t
cdef LexemeC EMPTY_LEXEME
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cdef union LexemesOrTokens:
const LexemeC* const* lexemes
const TokenC* tokens
cdef struct _Cached:
LexemesOrTokens data
bint is_lex
int length
cdef class Vocab:
cdef Pool mem
cdef readonly StringStore strings
cdef public Morphology morphology
Add support for floret vectors (#8909) * Add support for fasttext-bloom hash-only vectors Overview: * Extend `Vectors` to have two modes: `default` and `ngram` * `default` is the default mode and equivalent to the current `Vectors` * `ngram` supports the hash-only ngram tables from `fasttext-bloom` * Extend `spacy.StaticVectors.v2` to handle both modes with no changes for `default` vectors * Extend `spacy init vectors` to support ngram tables The `ngram` mode **only** supports vector tables produced by this fork of fastText, which adds an option to represent all vectors using only the ngram buckets table and which uses the exact same ngram generation algorithm and hash function (`MurmurHash3_x64_128`). `fasttext-bloom` produces an additional `.hashvec` table, which can be loaded by `spacy init vectors --fasttext-bloom-vectors`. https://github.com/adrianeboyd/fastText/tree/feature/bloom Implementation details: * `Vectors` now includes the `StringStore` as `Vectors.strings` so that the API can stay consistent for both `default` (which can look up from `str` or `int`) and `ngram` (which requires `str` to calculate the ngrams). * In ngram mode `Vectors` uses a default `Vectors` object as a cache since the ngram vectors lookups are relatively expensive. * The default cache size is the same size as the provided ngram vector table. * Once the cache is full, no more entries are added. The user is responsible for managing the cache in cases where the initial documents are not representative of the texts. * The cache can be resized by setting `Vectors.ngram_cache_size` or cleared with `vectors._ngram_cache.clear()`. * The API ends up a bit split between methods for `default` and for `ngram`, so functions that only make sense for `default` or `ngram` include warnings with custom messages suggesting alternatives where possible. * `Vocab.vectors` becomes a property so that the string stores can be synced when assigning vectors to a vocab. * `Vectors` serializes its own config settings as `vectors.cfg`. * The `Vectors` serialization methods have added support for `exclude` so that the `Vocab` can exclude the `Vectors` strings while serializing. Removed: * The `minn` and `maxn` options and related code from `Vocab.get_vector`, which does not work in a meaningful way for default vector tables. * The unused `GlobalRegistry` in `Vectors`. * Refactor to use reduce_mean Refactor to use reduce_mean and remove the ngram vectors cache. * Rename to floret * Rename to floret in error messages * Use --vectors-mode in CLI, vector init * Fix vectors mode in init * Remove unused var * Minor API and docstrings adjustments * Rename `--vectors-mode` to `--mode` in `init vectors` CLI * Rename `Vectors.get_floret_vectors` to `Vectors.get_batch` and support both modes. * Minor updates to Vectors docstrings. * Update API docs for Vectors and init vectors CLI * Update types for StaticVectors
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cdef public object _vectors
cdef public object _lookups
cdef public object writing_system
cdef public object get_noun_chunks
cdef readonly int length
cdef public object lex_attr_getters
cdef public object cfg
cdef const LexemeC* get(self, str string) except NULL
cdef const LexemeC* get_by_orth(self, attr_t orth) except NULL
cdef const TokenC* make_fused_token(self, substrings) except NULL
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cdef const LexemeC* _new_lexeme(self, str string) except NULL
cdef int _add_lex_to_vocab(self, hash_t key, const LexemeC* lex) except -1
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cdef PreshMap _by_orth