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Fix vectors for reserved words. Closes #2871

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This commit is contained in:
Matthew Honnibal 2018-12-10 16:09:49 +01:00
parent 16fd8dce1d
commit 90aec6d2f6
1 changed files with 5 additions and 7 deletions
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12
spacy/vectors.pyx
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@ -10,7 +10,8 @@ cimport numpy as np
from thinc.neural.util import get_array_module
from thinc.neural._classes.model import Model
from .strings cimport StringStore, hash_string
from .strings cimport StringStore
from .strings import get_string_id
from .compat import basestring_, path2str
from .errors import Errors
from . import util
@ -218,12 +219,10 @@ cdef class Vectors:
raise ValueError(Errors.E059.format(kwargs=bad_kwargs))
xp = get_array_module(self.data)
if key is not None:
if isinstance(key, basestring_):
key = hash_string(key)
key = get_string_id(key)
return self.key2row.get(key, -1)
elif keys is not None:
keys = [hash_string(key) if isinstance(key, basestring_) else key
for key in keys]
keys = [get_string_id(key) for key in keys]
rows = [self.key2row.get(key, -1.) for key in keys]
return xp.asarray(rows, dtype='i')
else:
@ -248,8 +247,7 @@ cdef class Vectors:
row (int / None): The row number of a vector to map the key to.
RETURNS (int): The row the vector was added to.
"""
if isinstance(key, basestring):
key = hash_string(key)
key = get_string_id(key)
if row is None and key in self.key2row:
row = self.key2row[key]
elif row is None: