mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-24 17:06:29 +03:00
commit
673c864a06
|
@ -5,7 +5,6 @@ import logging
|
||||||
from pathlib import Path
|
from pathlib import Path
|
||||||
from collections import defaultdict
|
from collections import defaultdict
|
||||||
from gensim.models import Word2Vec
|
from gensim.models import Word2Vec
|
||||||
from preshed.counter import PreshCounter
|
|
||||||
import plac
|
import plac
|
||||||
import spacy
|
import spacy
|
||||||
|
|
||||||
|
|
31
spacy/tests/regression/test_issue3869.py
Normal file
31
spacy/tests/regression/test_issue3869.py
Normal file
|
@ -0,0 +1,31 @@
|
||||||
|
# coding: utf8
|
||||||
|
from __future__ import unicode_literals
|
||||||
|
|
||||||
|
import pytest
|
||||||
|
|
||||||
|
from spacy.attrs import IS_ALPHA
|
||||||
|
from spacy.lang.en import English
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.parametrize(
|
||||||
|
"sentence",
|
||||||
|
[
|
||||||
|
'The story was to the effect that a young American student recently called on Professor Christlieb with a letter of introduction.',
|
||||||
|
'The next month Barry Siddall joined Stoke City on a free transfer, after Chris Pearce had established himself as the Vale\'s #1.',
|
||||||
|
'The next month Barry Siddall joined Stoke City on a free transfer, after Chris Pearce had established himself as the Vale\'s number one',
|
||||||
|
'Indeed, making the one who remains do all the work has installed him into a position of such insolent tyranny, it will take a month at least to reduce him to his proper proportions.',
|
||||||
|
"It was a missed assignment, but it shouldn't have resulted in a turnover ..."
|
||||||
|
],
|
||||||
|
)
|
||||||
|
def test_issue3869(sentence):
|
||||||
|
"""Test that the Doc's count_by function works consistently"""
|
||||||
|
nlp = English()
|
||||||
|
doc = nlp(sentence)
|
||||||
|
|
||||||
|
count = 0
|
||||||
|
for token in doc:
|
||||||
|
count += token.is_alpha
|
||||||
|
|
||||||
|
assert count == doc.count_by(IS_ALPHA).get(1, 0)
|
||||||
|
|
||||||
|
|
|
@ -1,6 +1,5 @@
|
||||||
from cymem.cymem cimport Pool
|
from cymem.cymem cimport Pool
|
||||||
cimport numpy as np
|
cimport numpy as np
|
||||||
from preshed.counter cimport PreshCounter
|
|
||||||
|
|
||||||
from ..vocab cimport Vocab
|
from ..vocab cimport Vocab
|
||||||
from ..structs cimport TokenC, LexemeC
|
from ..structs cimport TokenC, LexemeC
|
||||||
|
|
|
@ -9,6 +9,7 @@ cimport cython
|
||||||
cimport numpy as np
|
cimport numpy as np
|
||||||
from libc.string cimport memcpy, memset
|
from libc.string cimport memcpy, memset
|
||||||
from libc.math cimport sqrt
|
from libc.math cimport sqrt
|
||||||
|
from collections import Counter
|
||||||
|
|
||||||
import numpy
|
import numpy
|
||||||
import numpy.linalg
|
import numpy.linalg
|
||||||
|
@ -697,7 +698,7 @@ cdef class Doc:
|
||||||
# Handle 1d case
|
# Handle 1d case
|
||||||
return output if len(attr_ids) >= 2 else output.reshape((self.length,))
|
return output if len(attr_ids) >= 2 else output.reshape((self.length,))
|
||||||
|
|
||||||
def count_by(self, attr_id_t attr_id, exclude=None, PreshCounter counts=None):
|
def count_by(self, attr_id_t attr_id, exclude=None, object counts=None):
|
||||||
"""Count the frequencies of a given attribute. Produces a dict of
|
"""Count the frequencies of a given attribute. Produces a dict of
|
||||||
`{attribute (int): count (ints)}` frequencies, keyed by the values of
|
`{attribute (int): count (ints)}` frequencies, keyed by the values of
|
||||||
the given attribute ID.
|
the given attribute ID.
|
||||||
|
@ -712,19 +713,18 @@ cdef class Doc:
|
||||||
cdef size_t count
|
cdef size_t count
|
||||||
|
|
||||||
if counts is None:
|
if counts is None:
|
||||||
counts = PreshCounter()
|
counts = Counter()
|
||||||
output_dict = True
|
output_dict = True
|
||||||
else:
|
else:
|
||||||
output_dict = False
|
output_dict = False
|
||||||
# Take this check out of the loop, for a bit of extra speed
|
# Take this check out of the loop, for a bit of extra speed
|
||||||
if exclude is None:
|
if exclude is None:
|
||||||
for i in range(self.length):
|
for i in range(self.length):
|
||||||
counts.inc(get_token_attr(&self.c[i], attr_id), 1)
|
counts[get_token_attr(&self.c[i], attr_id)] += 1
|
||||||
else:
|
else:
|
||||||
for i in range(self.length):
|
for i in range(self.length):
|
||||||
if not exclude(self[i]):
|
if not exclude(self[i]):
|
||||||
attr = get_token_attr(&self.c[i], attr_id)
|
counts[get_token_attr(&self.c[i], attr_id)] += 1
|
||||||
counts.inc(attr, 1)
|
|
||||||
if output_dict:
|
if output_dict:
|
||||||
return dict(counts)
|
return dict(counts)
|
||||||
|
|
||||||
|
|
Loading…
Reference in New Issue
Block a user