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* Rename Doc.data to Doc.c

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This commit is contained in:
Matthew Honnibal 2015-11-04 00:15:14 +11:00
parent 3ddea19b2b
commit 68f479e821
8 changed files with 60 additions and 60 deletions
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6
spacy/matcher.pyx
View File

@ -215,7 +215,7 @@ cdef class Matcher:
cdef Pattern* state
matches = []
for token_i in range(doc.length):
token = &doc.data[token_i]
token = &doc.c[token_i]
q = 0
# Go over the open matches, extending or finalizing if able. Otherwise,
# we over-write them (q doesn't advance)
@ -286,7 +286,7 @@ cdef class PhraseMatcher:
for i in range(self.max_length):
self._phrase_key[i] = 0
for i, tag in enumerate(tags):
lexeme = self.vocab[tokens.data[i].lex.orth]
lexeme = self.vocab[tokens.c[i].lex.orth]
lexeme.set_flag(tag, True)
self._phrase_key[i] = lexeme.orth
cdef hash_t key = hash64(self._phrase_key, self.max_length * sizeof(attr_t), 0)
@ -309,7 +309,7 @@ cdef class PhraseMatcher:
for i in range(self.max_length):
self._phrase_key[i] = 0
for i, j in enumerate(range(start, end)):
self._phrase_key[i] = doc.data[j].lex.orth
self._phrase_key[i] = doc.c[j].lex.orth
cdef hash_t key = hash64(self._phrase_key, self.max_length * sizeof(attr_t), 0)
if self.phrase_ids.get(key):
return True

6
spacy/syntax/parser.pyx
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@ -84,7 +84,7 @@ cdef class Parser:
return cls(strings, moves, model)
def __call__(self, Doc tokens):
cdef StateClass stcls = StateClass.init(tokens.data, tokens.length)
cdef StateClass stcls = StateClass.init(tokens.c, tokens.length)
self.moves.initialize_state(stcls)
cdef Example eg = Example(self.model.n_classes, CONTEXT_SIZE,
@ -112,7 +112,7 @@ cdef class Parser:
def train(self, Doc tokens, GoldParse gold):
self.moves.preprocess_gold(gold)
cdef StateClass stcls = StateClass.init(tokens.data, tokens.length)
cdef StateClass stcls = StateClass.init(tokens.c, tokens.length)
self.moves.initialize_state(stcls)
cdef Example eg = Example(self.model.n_classes, CONTEXT_SIZE,
self.model.n_feats, self.model.n_feats)
@ -143,7 +143,7 @@ cdef class StepwiseState:
def __init__(self, Parser parser, Doc doc):
self.parser = parser
self.doc = doc
self.stcls = StateClass.init(doc.data, doc.length)
self.stcls = StateClass.init(doc.c, doc.length)
self.parser.moves.initialize_state(self.stcls)
self.eg = Example(self.parser.model.n_classes, CONTEXT_SIZE,
self.parser.model.n_feats, self.parser.model.n_feats)

14
spacy/tagger.pyx
View File

@ -141,9 +141,9 @@ cdef class Tagger:
cdef int i
cdef const weight_t* scores
for i in range(tokens.length):
if tokens.data[i].pos == 0:
guess = self.predict(i, tokens.data)
self.vocab.morphology.assign_tag(&tokens.data[i], guess)
if tokens.c[i].pos == 0:
guess = self.predict(i, tokens.c)
self.vocab.morphology.assign_tag(&tokens.c[i], guess)
tokens.is_tagged = True
tokens._py_tokens = [None] * tokens.length
@ -154,7 +154,7 @@ cdef class Tagger:
def tag_from_strings(self, Doc tokens, object tag_strs):
cdef int i
for i in range(tokens.length):
self.vocab.morphology.assign_tag(&tokens.data[i], tag_strs[i])
self.vocab.morphology.assign_tag(&tokens.c[i], tag_strs[i])
tokens.is_tagged = True
tokens._py_tokens = [None] * tokens.length
@ -170,13 +170,13 @@ cdef class Tagger:
[g for g in gold_tag_strs if g is not None and g not in self.tag_names])
correct = 0
for i in range(tokens.length):
guess = self.update(i, tokens.data, golds[i])
guess = self.update(i, tokens.c, golds[i])
loss = golds[i] != -1 and guess != golds[i]
self.vocab.morphology.assign_tag(&tokens.data[i], guess)
self.vocab.morphology.assign_tag(&tokens.c[i], guess)
correct += loss == 0
self.freqs[TAG][tokens.data[i].tag] += 1
self.freqs[TAG][tokens.c[i].tag] += 1
return correct
cdef int predict(self, int i, const TokenC* tokens) except -1:

6
spacy/tokenizer.pyx
View File

@ -113,7 +113,7 @@ cdef class Tokenizer:
self._tokenize(tokens, span, key)
in_ws = not in_ws
if uc == ' ':
tokens.data[tokens.length - 1].spacy = True
tokens.c[tokens.length - 1].spacy = True
start = i + 1
else:
start = i
@ -125,7 +125,7 @@ cdef class Tokenizer:
cache_hit = self._try_cache(key, tokens)
if not cache_hit:
self._tokenize(tokens, span, key)
tokens.data[tokens.length - 1].spacy = string[-1] == ' '
tokens.c[tokens.length - 1].spacy = string[-1] == ' '
return tokens
cdef int _try_cache(self, hash_t key, Doc tokens) except -1:
@ -148,7 +148,7 @@ cdef class Tokenizer:
orig_size = tokens.length
span = self._split_affixes(span, &prefixes, &suffixes)
self._attach_tokens(tokens, span, &prefixes, &suffixes)
self._save_cached(&tokens.data[orig_size], orig_key, tokens.length - orig_size)
self._save_cached(&tokens.c[orig_size], orig_key, tokens.length - orig_size)
cdef unicode _split_affixes(self, unicode string, vector[const LexemeC*] *prefixes,
vector[const LexemeC*] *suffixes):

2
spacy/tokens/doc.pxd
View File

@ -26,7 +26,7 @@ cdef class Doc:
cdef public object _vector
cdef public object _vector_norm
cdef TokenC* data
cdef TokenC* c
cdef public bint is_tagged
cdef public bint is_parsed

78
spacy/tokens/doc.pyx
View File

@ -73,7 +73,7 @@ cdef class Doc:
data_start[i].lex = &EMPTY_LEXEME
data_start[i].l_edge = i
data_start[i].r_edge = i
self.data = data_start + PADDING
self.c = data_start + PADDING
self.max_length = size
self.length = 0
self.is_tagged = False
@ -97,7 +97,7 @@ cdef class Doc:
if self._py_tokens[i] is not None:
return self._py_tokens[i]
else:
return Token.cinit(self.vocab, &self.data[i], i, self)
return Token.cinit(self.vocab, &self.c[i], i, self)
def __iter__(self):
"""Iterate over the tokens.
@ -110,7 +110,7 @@ cdef class Doc:
if self._py_tokens[i] is not None:
yield self._py_tokens[i]
else:
yield Token.cinit(self.vocab, &self.data[i], i, self)
yield Token.cinit(self.vocab, &self.c[i], i, self)
def __len__(self):
return self.length
@ -187,7 +187,7 @@ cdef class Doc:
cdef int label = 0
output = []
for i in range(self.length):
token = &self.data[i]
token = &self.c[i]
if token.ent_iob == 1:
assert start != -1
elif token.ent_iob == 2 or token.ent_iob == 0:
@ -212,23 +212,23 @@ cdef class Doc:
# 4. Test more nuanced date and currency regex
cdef int i
for i in range(self.length):
self.data[i].ent_type = 0
self.data[i].ent_iob = 0
self.c[i].ent_type = 0
self.c[i].ent_iob = 0
cdef attr_t ent_type
cdef int start, end
for ent_type, start, end in ents:
if ent_type is None or ent_type < 0:
# Mark as O
for i in range(start, end):
self.data[i].ent_type = 0
self.data[i].ent_iob = 2
self.c[i].ent_type = 0
self.c[i].ent_iob = 2
else:
# Mark (inside) as I
for i in range(start, end):
self.data[i].ent_type = ent_type
self.data[i].ent_iob = 1
self.c[i].ent_type = ent_type
self.c[i].ent_iob = 1
# Set start as B
self.data[start].ent_iob = 3
self.c[start].ent_iob = 3
@property
def noun_chunks(self):
@ -245,7 +245,7 @@ cdef class Doc:
np_deps = [self.vocab.strings[label] for label in labels]
np_label = self.vocab.strings['NP']
for i in range(self.length):
word = &self.data[i]
word = &self.c[i]
if word.pos == NOUN and word.dep in np_deps:
yield Span(self, word.l_edge, i+1, label=np_label)
@ -263,7 +263,7 @@ cdef class Doc:
cdef int i
start = 0
for i in range(1, self.length):
if self.data[i].sent_start:
if self.c[i].sent_start:
yield Span(self, start, i)
start = i
yield Span(self, start, self.length)
@ -271,7 +271,7 @@ cdef class Doc:
cdef int push_back(self, LexemeOrToken lex_or_tok, bint has_space) except -1:
if self.length == self.max_length:
self._realloc(self.length * 2)
cdef TokenC* t = &self.data[self.length]
cdef TokenC* t = &self.c[self.length]
if LexemeOrToken is const_TokenC_ptr:
t[0] = lex_or_tok[0]
else:
@ -310,7 +310,7 @@ cdef class Doc:
output = numpy.ndarray(shape=(self.length, len(attr_ids)), dtype=numpy.int32)
for i in range(self.length):
for j, feature in enumerate(attr_ids):
output[i, j] = get_token_attr(&self.data[i], feature)
output[i, j] = get_token_attr(&self.c[i], feature)
return output
def count_by(self, attr_id_t attr_id, exclude=None, PreshCounter counts=None):
@ -340,11 +340,11 @@ cdef class Doc:
# Take this check out of the loop, for a bit of extra speed
if exclude is None:
for i in range(self.length):
counts.inc(get_token_attr(&self.data[i], attr_id), 1)
counts.inc(get_token_attr(&self.c[i], attr_id), 1)
else:
for i in range(self.length):
if not exclude(self[i]):
attr = get_token_attr(&self.data[i], attr_id)
attr = get_token_attr(&self.c[i], attr_id)
counts.inc(attr, 1)
if output_dict:
return dict(counts)
@ -357,12 +357,12 @@ cdef class Doc:
# words out-of-bounds, and get out-of-bounds markers.
# Now that we want to realloc, we need the address of the true start,
# so we jump the pointer back PADDING places.
cdef TokenC* data_start = self.data - PADDING
cdef TokenC* data_start = self.c - PADDING
data_start = <TokenC*>self.mem.realloc(data_start, n * sizeof(TokenC))
self.data = data_start + PADDING
self.c = data_start + PADDING
cdef int i
for i in range(self.length, self.max_length + PADDING):
self.data[i].lex = &EMPTY_LEXEME
self.c[i].lex = &EMPTY_LEXEME
cdef int set_parse(self, const TokenC* parsed) except -1:
# TODO: This method is fairly misleading atm. It's used by Parser
@ -371,14 +371,14 @@ cdef class Doc:
# Probably we should use from_array?
self.is_parsed = True
for i in range(self.length):
self.data[i] = parsed[i]
assert self.data[i].l_edge <= i
assert self.data[i].r_edge >= i
self.c[i] = parsed[i]
assert self.c[i].l_edge <= i
assert self.c[i].r_edge >= i
def from_array(self, attrs, array):
cdef int i, col
cdef attr_id_t attr_id
cdef TokenC* tokens = self.data
cdef TokenC* tokens = self.c
cdef int length = len(array)
cdef attr_t[:] values
for col, attr_id in enumerate(attrs):
@ -412,7 +412,7 @@ cdef class Doc:
tokens[i].ent_type = values[i]
else:
raise ValueError("Unknown attribute ID: %d" % attr_id)
set_children_from_heads(self.data, self.length)
set_children_from_heads(self.c, self.length)
return self
def to_bytes(self):
@ -447,9 +447,9 @@ cdef class Doc:
cdef int start = -1
cdef int end = -1
for i in range(self.length):
if self.data[i].idx == start_idx:
if self.c[i].idx == start_idx:
start = i
if (self.data[i].idx + self.data[i].lex.length) == end_idx:
if (self.c[i].idx + self.c[i].lex.length) == end_idx:
if start == -1:
return None
end = i + 1
@ -464,10 +464,10 @@ cdef class Doc:
new_orth = new_orth[:-len(span[-1].whitespace_)]
cdef const LexemeC* lex = self.vocab.get(self.mem, new_orth)
# House the new merged token where it starts
cdef TokenC* token = &self.data[start]
cdef TokenC* token = &self.c[start]
# Update fields
token.lex = lex
token.spacy = self.data[end-1].spacy
token.spacy = self.c[end-1].spacy
if tag in self.vocab.morphology.tag_map:
self.vocab.morphology.assign_tag(token, tag)
else:
@ -486,31 +486,31 @@ cdef class Doc:
span_root = span.root.i
token.dep = span.root.dep
for i in range(self.length):
self.data[i].head += i
self.c[i].head += i
# Set the head of the merged token, and its dep relation, from the Span
token.head = self.data[span_root].head
token.head = self.c[span_root].head
# Adjust deps before shrinking tokens
# Tokens which point into the merged token should now point to it
# Subtract the offset from all tokens which point to >= end
offset = (end - start) - 1
for i in range(self.length):
head_idx = self.data[i].head
head_idx = self.c[i].head
if start <= head_idx < end:
self.data[i].head = start
self.c[i].head = start
elif head_idx >= end:
self.data[i].head -= offset
self.c[i].head -= offset
# Now compress the token array
for i in range(end, self.length):
self.data[i - offset] = self.data[i]
self.c[i - offset] = self.c[i]
for i in range(self.length - offset, self.length):
memset(&self.data[i], 0, sizeof(TokenC))
self.data[i].lex = &EMPTY_LEXEME
memset(&self.c[i], 0, sizeof(TokenC))
self.c[i].lex = &EMPTY_LEXEME
self.length -= offset
for i in range(self.length):
# ...And, set heads back to a relative position
self.data[i].head -= i
self.c[i].head -= i
# Set the left/right children, left/right edges
set_children_from_heads(self.data, self.length)
set_children_from_heads(self.c, self.length)
# Clear the cached Python objects
self._py_tokens = [None] * self.length
# Return the merged Python object

6
spacy/tokens/span.pyx
View File

@ -139,12 +139,12 @@ cdef class Span:
def __get__(self):
# This should probably be called 'head', and the other one called
# 'gov'. But we went with 'head' elsehwhere, and now we're stuck =/
cdef const TokenC* start = &self.doc.data[self.start]
cdef const TokenC* end = &self.doc.data[self.end]
cdef const TokenC* start = &self.doc.c[self.start]
cdef const TokenC* end = &self.doc.c[self.end]
head = start
while start <= (head + head.head) < end and head.head != 0:
head += head.head
return self.doc[head - self.doc.data]
return self.doc[head - self.doc.c]
property lefts:
"""Tokens that are to the left of the Span, whose head is within the Span."""

2
spacy/tokens/token.pyx
View File

@ -31,7 +31,7 @@ cdef class Token:
def __cinit__(self, Vocab vocab, Doc doc, int offset):
self.vocab = vocab
self.doc = doc
self.c = &self.doc.data[offset]
self.c = &self.doc.c[offset]
self.i = offset
self.array_len = doc.length