explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-11-04 01:48:04 +03:00
Code Issues Packages Projects Releases Wiki Activity

Fix error messages if model is required (resolves #1051)

Browse Source 
Rename about.__docs__ to about.__docs_models__.
This commit is contained in:
ines 2017-05-13 13:14:02 +02:00
parent 24e973b17f
commit 9003fd25e5
4 changed files with 19 additions and 20 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
spacy/lexeme.pyx
View File

@ -24,6 +24,7 @@ from .attrs cimport IS_QUOTE
from .attrs cimport IS_LEFT_PUNCT from .attrs cimport IS_LEFT_PUNCT
from .attrs cimport IS_RIGHT_PUNCT from .attrs cimport IS_RIGHT_PUNCT
from .attrs cimport IS_OOV from .attrs cimport IS_OOV
from . import about
memset(&EMPTY_LEXEME, 0, sizeof(LexemeC)) memset(&EMPTY_LEXEME, 0, sizeof(LexemeC))
@ -137,11 +138,10 @@ cdef class Lexeme:
cdef int length = self.vocab.vectors_length cdef int length = self.vocab.vectors_length
if length == 0: if length == 0:
raise ValueError( raise ValueError(
"Word vectors set to length 0. This may be because the " "Word vectors set to length 0. This may be because you "
"data is not installed. If you haven't already, run" "don't have a model installed or loaded, or because your "
"\npython -m spacy download %s\n" "model doesn't include word vectors. For more info, see "
"to install the data." % self.vocab.lang "the documentation: \n%s\n" % about.__docs_models__)
)
vector_view = <float[:length,]>self.c.vector vector_view = <float[:length,]>self.c.vector
return numpy.asarray(vector_view) return numpy.asarray(vector_view)

13
spacy/tokens/doc.pyx
View File

@ -29,6 +29,7 @@ from ..serialize.bits cimport BitArray
from ..util import normalize_slice from ..util import normalize_slice
from ..syntax.iterators import CHUNKERS from ..syntax.iterators import CHUNKERS
from ..compat import is_config from ..compat import is_config
from .. import about
DEF PADDING = 5 DEF PADDING = 5
@ -403,9 +404,8 @@ cdef class Doc:
if not self.is_parsed: if not self.is_parsed:
raise ValueError( raise ValueError(
"noun_chunks requires the dependency parse, which " "noun_chunks requires the dependency parse, which "
"requires data to be installed. If you haven't done so, run: " "requires data to be installed. For more info, see the "
"\npython -m spacy download %s\n" "documentation: \n%s\n" % about.__docs_models__)
"to install the data" % self.vocab.lang)
# Accumulate the result before beginning to iterate over it. This prevents # Accumulate the result before beginning to iterate over it. This prevents
# the tokenisation from being changed out from under us during the iteration. # the tokenisation from being changed out from under us during the iteration.
# The tricky thing here is that Span accepts its tokenisation changing, # The tricky thing here is that Span accepts its tokenisation changing,
@ -435,10 +435,9 @@ cdef class Doc:
if not self.is_parsed: if not self.is_parsed:
raise ValueError( raise ValueError(
"sentence boundary detection requires the dependency parse, which " "Sentence boundary detection requires the dependency parse, which "
"requires data to be installed. If you haven't done so, run: " "requires data to be installed. For more info, see the "
"\npython -m spacy download %s\n" "documentation: \n%s\n" % about.__docs_models__)
"to install the data" % self.vocab.lang)
cdef int i cdef int i
start = 0 start = 0
for i in range(1, self.length): for i in range(1, self.length):

6
spacy/tokens/span.pyx
View File

@ -16,6 +16,7 @@ from ..util import normalize_slice
from ..attrs cimport IS_PUNCT, IS_SPACE from ..attrs cimport IS_PUNCT, IS_SPACE
from ..lexeme cimport Lexeme from ..lexeme cimport Lexeme
from ..compat import is_config from ..compat import is_config
from .. import about
cdef class Span: cdef class Span:
@ -221,9 +222,8 @@ cdef class Span:
if not self.doc.is_parsed: if not self.doc.is_parsed:
raise ValueError( raise ValueError(
"noun_chunks requires the dependency parse, which " "noun_chunks requires the dependency parse, which "
"requires data to be installed. If you haven't done so, run: " "requires data to be installed. For more info, see the "
"\npython -m spacy download %s\n" "documentation: \n%s\n" % about.__docs_models__)
"to install the data" % self.vocab.lang)
# Accumulate the result before beginning to iterate over it. This prevents # Accumulate the result before beginning to iterate over it. This prevents
# the tokenisation from being changed out from under us during the iteration. # the tokenisation from being changed out from under us during the iteration.
# The tricky thing here is that Span accepts its tokenisation changing, # The tricky thing here is that Span accepts its tokenisation changing,

10
spacy/tokens/token.pyx
View File

@ -26,6 +26,7 @@ from ..attrs cimport IS_TITLE, IS_UPPER, LIKE_URL, LIKE_NUM, LIKE_EMAIL, IS_STOP
from ..attrs cimport IS_OOV from ..attrs cimport IS_OOV
from ..lexeme cimport Lexeme from ..lexeme cimport Lexeme
from ..compat import is_config from ..compat import is_config
from .. import about
cdef class Token: cdef class Token:
@ -237,11 +238,10 @@ cdef class Token:
cdef int length = self.vocab.vectors_length cdef int length = self.vocab.vectors_length
if length == 0: if length == 0:
raise ValueError( raise ValueError(
"Word vectors set to length 0. This may be because the " "Word vectors set to length 0. This may be because you "
"data is not installed. If you haven't already, run" "don't have a model installed or loaded, or because your "
"\npython -m spacy download %s\n" "model doesn't include word vectors. For more info, see "
"to install the data." % self.vocab.lang "the documentation: \n%s\n" % about.__docs_models__)
)
vector_view = <float[:length,]>self.c.lex.vector vector_view = <float[:length,]>self.c.lex.vector
return numpy.asarray(vector_view) return numpy.asarray(vector_view)