# cython: profile=True from __future__ import unicode_literals from ext.murmurhash cimport MurmurHash64A from ext.murmurhash cimport MurmurHash64B from spacy.lexeme cimport init_lexeme from spacy.lexeme cimport BLANK_WORD from spacy.string_tools cimport is_whitespace from . import util from os import path cimport cython cdef load_tokenization(Vocab* vocab, dict bacov, token_rules): cdef Lexeme* word cdef StringHash hashed for chunk, lex, tokens in token_rules: hashed = hash_string(chunk, len(chunk)) assert vocab[0][hashed] == 0, chunk word = _add(vocab, bacov, NULL, hashed, lex, len(lex), len(lex)) for i, lex in enumerate(tokens): token_string = '%s:@:%d:@:%s' % (chunk, i, lex) length = len(token_string) hashed = hash_string(token_string, length) word.tail = _add(vocab, bacov, NULL, hashed, lex, 0, len(lex)) word = word.tail cdef load_browns(Vocab* vocab, dict bacov, Splitter find_split): cdef Lexeme* w data_dir = path.join(path.dirname(__file__), '..', 'data', 'en') case_stats = util.load_case_stats(data_dir) brown_loc = path.join(data_dir, 'clusters') cdef size_t start cdef int end with util.utf8open(brown_loc) as browns_file: for i, line in enumerate(browns_file): cluster_str, token_string, freq_str = line.split() # Decode as a little-endian string, so that we can do & 15 to get # the first 4 bits. See redshift._parse_features.pyx cluster = int(cluster_str[::-1], 2) upper_pc, title_pc = case_stats.get(token_string.lower(), (0.0, 0.0)) start = 0 end = -1 hashed = hash_string(token_string, len(token_string)) word = _add(vocab, bacov, find_split, hashed, token_string, len(token_string), len(token_string)) cdef vector[Lexeme_addr] tokenize(Vocab* vocab, dict bacov, Splitter splitter, unicode string) except *: cdef size_t length = len(string) cdef Py_UNICODE* characters = string cdef size_t i cdef Py_UNICODE c cdef vector[Lexeme_addr] tokens = vector[Lexeme_addr]() cdef Py_UNICODE[1000] current for i in range(1000): current[i] = 0 cdef size_t word_len = 0 cdef Lexeme* token for i in range(length): c = characters[i] if _is_whitespace(c): if word_len != 0: token = lookup(vocab, bacov, splitter, -1, current, word_len) while token != NULL: tokens.push_back(token) token = token.tail for j in range(word_len+1): current[j] = 0 word_len = 0 else: current[word_len] = c word_len += 1 if word_len != 0: token = lookup(vocab, bacov, splitter, -1, current, word_len) while token != NULL: tokens.push_back(token) token = token.tail return tokens cdef inline bint _is_whitespace(Py_UNICODE c) nogil: if c == ' ': return True elif c == '\n': return True elif c == '\t': return True else: return False cdef Lexeme_addr lookup(Vocab* vocab, dict bacov, Splitter find_split, int start, Py_UNICODE* string, size_t length) except 0: '''Fetch a Lexeme representing a word string. If the word has not been seen, construct one, splitting off any attached punctuation or clitics. A reference to BLANK_WORD is returned for the empty string. To specify the boundaries of the word if it has not been seen, use lookup_chunk. ''' if length == 0: return &BLANK_WORD cdef StringHash hashed = hash_string(string, length) cdef Lexeme* word_ptr = vocab[0][hashed] if word_ptr == NULL: start = find_split(string, length) if start == -1 else start word_ptr = _add(vocab, bacov, find_split, hashed, string, start, length) return word_ptr cpdef vector[size_t] expand_chunk(size_t addr) except *: cdef vector[size_t] tokens = vector[size_t]() word = addr while word is not NULL: tokens.push_back(word) word = word.tail return tokens cdef StringHash hash_string(Py_UNICODE* s, size_t length) nogil: '''Hash unicode with MurmurHash64A''' return MurmurHash64A(s, length * sizeof(Py_UNICODE), 0) cdef unicode unhash(dict bacov, StringHash hash_value): '''Fetch a string from the reverse index, given its hash value.''' return bacov[hash_value] @cython.nonecheck(False) cdef Lexeme* _add(Vocab* vocab, dict bacov, Splitter find_split, StringHash hashed, unicode string, int split, size_t length): word = init_lexeme(vocab, bacov, find_split, string, hashed, split, length) vocab[0][hashed] = word bacov[hashed] = string return word