# cython: embedsignature=True from __future__ import unicode_literals from os import path import re from cython.operator cimport dereference as deref from cython.operator cimport preincrement as preinc from cymem.cymem cimport Pool from preshed.maps cimport PreshMap from .structs cimport UniStr from .strings cimport slice_unicode from .morphology cimport set_morph_from_dict from . import util from .util import read_lang_data from .tokens import Tokens cdef class Tokenizer: def __init__(self, Vocab vocab, rules, prefix_re, suffix_re, infix_re, pos_tags, tag_names): self.mem = Pool() self._cache = PreshMap() self._specials = PreshMap() self._prefix_re = prefix_re self._suffix_re = suffix_re self._infix_re = infix_re self.vocab = vocab self._load_special_tokenization(rules, pos_tags, tag_names) @classmethod def from_dir(cls, Vocab vocab, object data_dir, object pos_tags, object tag_names): if not path.exists(data_dir): raise IOError("Directory %s not found -- cannot load Tokenizer." % data_dir) if not path.isdir(data_dir): raise IOError("Path %s is a file, not a dir -- cannot load Tokenizer." % data_dir) assert path.exists(data_dir) and path.isdir(data_dir) rules, prefix_re, suffix_re, infix_re = util.read_lang_data(data_dir) return cls(vocab, rules, re.compile(prefix_re), re.compile(suffix_re), re.compile(infix_re), pos_tags, tag_names) cpdef Tokens tokens_from_list(self, list strings): cdef int length = sum([len(s) for s in strings]) cdef Tokens tokens = Tokens(self.vocab, length) if length == 0: return tokens cdef UniStr string_struct cdef unicode py_string cdef int idx = 0 for i, py_string in enumerate(strings): slice_unicode(&string_struct, py_string, 0, len(py_string)) tokens.push_back(idx, self.vocab.get(tokens.mem, &string_struct)) idx += len(py_string) + 1 return tokens cpdef Tokens tokenize(self, unicode string): """Tokenize a string. The tokenization rules are defined in three places: * The data//tokenization table, which handles special cases like contractions; * The data//prefix file, used to build a regex to split off prefixes; * The data//suffix file, used to build a regex to split off suffixes. The string is first split on whitespace. To tokenize a whitespace-delimited chunk, we first try to look it up in the special-cases. If it's not found, we split off a prefix, and then try again. If it's still not found, we split off a suffix, and repeat. Args: string (unicode): The string to be tokenized. Returns: tokens (Tokens): A Tokens object, giving access to a sequence of Lexemes. """ cdef int length = len(string) cdef Tokens tokens = Tokens(self.vocab, length) if length == 0: return tokens cdef int i = 0 cdef int start = 0 cdef bint cache_hit cdef Py_UNICODE* chars = string cdef bint in_ws = Py_UNICODE_ISSPACE(chars[0]) cdef UniStr span for i in range(1, length): if Py_UNICODE_ISSPACE(chars[i]) != in_ws: if start < i: slice_unicode(&span, chars, start, i) cache_hit = self._try_cache(start, span.key, tokens) if not cache_hit: self._tokenize(tokens, &span, start, i) in_ws = not in_ws start = i if chars[i] == ' ': start += 1 i += 1 if start < i: slice_unicode(&span, chars, start, i) cache_hit = self._try_cache(start, span.key, tokens) if not cache_hit: self._tokenize(tokens, &span, start, i) return tokens cdef int _try_cache(self, int idx, hash_t key, Tokens tokens) except -1: #cached = self._specials.get(key) cached = <_Cached*>self._cache.get(key) if cached == NULL: return False cdef int i if cached.is_lex: for i in range(cached.length): idx = tokens.push_back(idx, cached.data.lexemes[i]) else: for i in range(cached.length): idx = tokens.push_back(idx, &cached.data.tokens[i]) return True cdef int _tokenize(self, Tokens tokens, UniStr* span, int start, int end) except -1: cdef vector[Lexeme*] prefixes cdef vector[Lexeme*] suffixes cdef hash_t orig_key cdef int orig_size orig_key = span.key orig_size = tokens.length self._split_affixes(span, &prefixes, &suffixes) self._attach_tokens(tokens, start, span, &prefixes, &suffixes) self._save_cached(&tokens.data[orig_size], orig_key, tokens.length - orig_size) cdef UniStr* _split_affixes(self, UniStr* string, vector[const Lexeme*] *prefixes, vector[const Lexeme*] *suffixes) except NULL: cdef size_t i cdef UniStr prefix cdef UniStr suffix cdef UniStr minus_pre cdef UniStr minus_suf cdef size_t last_size = 0 while string.n != 0 and string.n != last_size: last_size = string.n pre_len = self._find_prefix(string.chars, string.n) if pre_len != 0: slice_unicode(&prefix, string.chars, 0, pre_len) slice_unicode(&minus_pre, string.chars, pre_len, string.n) # Check whether we've hit a special-case if minus_pre.n >= 1 and self._specials.get(minus_pre.key) != NULL: string[0] = minus_pre prefixes.push_back(self.vocab.get(self.vocab.mem, &prefix)) break suf_len = self._find_suffix(string.chars, string.n) if suf_len != 0: slice_unicode(&suffix, string.chars, string.n - suf_len, string.n) slice_unicode(&minus_suf, string.chars, 0, string.n - suf_len) # Check whether we've hit a special-case if minus_suf.n >= 1 and self._specials.get(minus_suf.key) != NULL: string[0] = minus_suf suffixes.push_back(self.vocab.get(self.vocab.mem, &suffix)) break if pre_len and suf_len and (pre_len + suf_len) <= string.n: slice_unicode(string, string.chars, pre_len, string.n - suf_len) prefixes.push_back(self.vocab.get(self.vocab.mem, &prefix)) suffixes.push_back(self.vocab.get(self.vocab.mem, &suffix)) elif pre_len: string[0] = minus_pre prefixes.push_back(self.vocab.get(self.vocab.mem, &prefix)) elif suf_len: string[0] = minus_suf suffixes.push_back(self.vocab.get(self.vocab.mem, &suffix)) if self._specials.get(string.key): break return string cdef int _attach_tokens(self, Tokens tokens, int idx, UniStr* string, vector[const Lexeme*] *prefixes, vector[const Lexeme*] *suffixes) except -1: cdef bint cache_hit cdef int split cdef const Lexeme* const* lexemes cdef Lexeme* lexeme cdef UniStr span cdef int i if prefixes.size(): for i in range(prefixes.size()): idx = tokens.push_back(idx, prefixes[0][i]) if string.n != 0: cache_hit = self._try_cache(idx, string.key, tokens) if cache_hit: idx = tokens.data[tokens.length - 1].idx + 1 else: split = self._find_infix(string.chars, string.n) if split == 0 or split == -1: idx = tokens.push_back(idx, self.vocab.get(tokens.mem, string)) else: slice_unicode(&span, string.chars, 0, split) idx = tokens.push_back(idx, self.vocab.get(tokens.mem, &span)) slice_unicode(&span, string.chars, split, split+1) idx = tokens.push_back(idx, self.vocab.get(tokens.mem, &span)) slice_unicode(&span, string.chars, split + 1, string.n) idx = tokens.push_back(idx, self.vocab.get(tokens.mem, &span)) cdef vector[const Lexeme*].reverse_iterator it = suffixes.rbegin() while it != suffixes.rend(): idx = tokens.push_back(idx, deref(it)) preinc(it) cdef int _save_cached(self, const TokenC* tokens, hash_t key, int n) except -1: cdef int i for i in range(n): if tokens[i].lex.id == 1: return 0 cached = <_Cached*>self.mem.alloc(1, sizeof(_Cached)) cached.length = n cached.is_lex = True lexemes = self.mem.alloc(n, sizeof(Lexeme**)) for i in range(n): lexemes[i] = tokens[i].lex cached.data.lexemes = lexemes self._cache.set(key, cached) cdef int _find_infix(self, Py_UNICODE* chars, size_t length) except -1: cdef unicode string = chars[:length] match = self._infix_re.search(string) return match.start() if match is not None else 0 cdef int _find_prefix(self, Py_UNICODE* chars, size_t length) except -1: cdef unicode string = chars[:length] match = self._prefix_re.search(string) return (match.end() - match.start()) if match is not None else 0 cdef int _find_suffix(self, Py_UNICODE* chars, size_t length) except -1: cdef unicode string = chars[:length] match = self._suffix_re.search(string) return (match.end() - match.start()) if match is not None else 0 def _load_special_tokenization(self, object rules, object tag_map, object tag_names): '''Add a special-case tokenization rule. ''' cdef int i cdef unicode chunk cdef list substrings cdef unicode form cdef unicode lemma cdef dict props cdef Lexeme** lexemes cdef hash_t hashed cdef UniStr string for chunk, substrings in sorted(rules.items()): tokens = self.mem.alloc(len(substrings) + 1, sizeof(TokenC)) for i, props in enumerate(substrings): form = props['F'] lemma = props.get("L", None) slice_unicode(&string, form, 0, len(form)) tokens[i].lex = self.vocab.get(self.vocab.mem, &string) if lemma: tokens[i].lemma = self.vocab.strings[lemma] if 'pos' in props: # TODO: Clean up this mess... tokens[i].fine_pos = tag_names.index(props['pos']) tokens[i].pos = tag_map[props['pos']][0] # These are defaults, which can be over-ridden by the # token-specific props. set_morph_from_dict(&tokens[i].morph, tag_map[props['pos']][1]) set_morph_from_dict(&tokens[i].morph, props) cached = <_Cached*>self.mem.alloc(1, sizeof(_Cached)) cached.length = len(substrings) cached.is_lex = False cached.data.tokens = tokens slice_unicode(&string, chunk, 0, len(chunk)) self._specials.set(string.key, cached) self._cache.set(string.key, cached)