mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-14 13:47:13 +03:00
90 lines
3.0 KiB
Cython
90 lines
3.0 KiB
Cython
from cython.operator cimport dereference as deref
|
|
from cython.operator cimport preincrement as inc
|
|
|
|
|
|
from spacy.lexeme cimport Lexeme
|
|
from spacy.lexeme cimport attr_of, norm_of, shape_of
|
|
from spacy.spacy cimport StringHash
|
|
|
|
|
|
cdef class Tokens:
|
|
def __cinit__(self, Language lang):
|
|
self.lang = lang
|
|
self.vctr = new vector[Lexeme_addr]()
|
|
self.length = 0
|
|
|
|
def __dealloc__(self):
|
|
del self.vctr
|
|
|
|
def __iter__(self):
|
|
cdef vector[Lexeme_addr].iterator it = self.vctr[0].begin()
|
|
while it != self.vctr[0].end():
|
|
yield deref(it)
|
|
inc(it)
|
|
|
|
def __getitem__(self, size_t idx):
|
|
return self.vctr[0].at(idx)
|
|
|
|
def __len__(self):
|
|
return self.length
|
|
|
|
cpdef int append(self, Lexeme_addr token):
|
|
self.vctr[0].push_back(token)
|
|
self.length += 1
|
|
|
|
cpdef int extend(self, Tokens other) except -1:
|
|
cdef Lexeme_addr el
|
|
for el in other:
|
|
self.append(el)
|
|
|
|
cpdef object group_by(self, StringAttr attr):
|
|
'''Group tokens that share the property attr into Tokens instances, and
|
|
return a list of them. Returns a tuple of three lists:
|
|
|
|
(string names, hashes, tokens)
|
|
|
|
The lists are aligned, so the ith entry in string names is the string
|
|
that the ith entry in hashes unhashes to, which the Tokens instance
|
|
is grouped by.
|
|
|
|
You can then use count_by or group_by on the Tokens
|
|
for further processing. Calling group_by and then asking the length
|
|
of the Tokens objects is equivalent to count_by, but somewhat slower.
|
|
'''
|
|
# Implementation here is working around some of the constraints in
|
|
# Cython about what type of thing can go in what type of container.
|
|
# Long story short, it's pretty hard to get a Python object like
|
|
# Tokens into a vector or array. If we really need this to run faster,
|
|
# we can be tricky and get the Python list access out of the loop. What
|
|
# we'd do is store pointers to the underlying vectors.
|
|
# So far, speed isn't mattering here.
|
|
cdef dict indices = {}
|
|
cdef list groups = []
|
|
cdef list names = []
|
|
cdef list hashes = []
|
|
|
|
cdef StringHash key
|
|
cdef Lexeme_addr t
|
|
for t in self.vctr[0]:
|
|
key = attr_of(t, attr)
|
|
if key in indices:
|
|
groups[indices[key]].append(t)
|
|
else:
|
|
indices[key] = len(groups)
|
|
groups.append(Tokens(self.lang))
|
|
names.append(self.lang.unhash(key))
|
|
hashes.append(key)
|
|
groups[-1].append(t)
|
|
return names, hashes, groups
|
|
|
|
cpdef dict count_by(self, StringAttr attr):
|
|
counts = {}
|
|
cdef Lexeme_addr t
|
|
cdef StringHash key
|
|
for t in self.vctr[0]:
|
|
key = attr_of(t, attr)
|
|
if key not in counts:
|
|
counts[key] = 0
|
|
counts[key] += 1
|
|
return counts
|