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Remove whitespace
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@ -87,7 +87,7 @@ cdef class Lexeme:
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value (bool): The new value of the flag.
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"""
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Lexeme.c_set_flag(self.c, flag_id, value)
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def check_flag(self, attr_id_t flag_id):
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"""Check the value of a boolean flag.
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@ -137,7 +137,7 @@ cdef class Lexeme:
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"\npython -m spacy.%s.download all\n"
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"to install the data." % self.vocab.lang
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)
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vector_view = <float[:length,]>self.c.vector
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return numpy.asarray(vector_view)
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@ -163,7 +163,7 @@ cdef class Lexeme:
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return self.c.sentiment
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def __set__(self, float sentiment):
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self.c.sentiment = sentiment
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property orth_:
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def __get__(self):
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return self.vocab.strings[self.c.orth]
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@ -171,7 +171,7 @@ cdef class Lexeme:
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property lower:
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def __get__(self): return self.c.lower
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def __set__(self, int x): self.c.lower = x
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property norm:
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def __get__(self): return self.c.norm
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def __set__(self, int x): self.c.norm = x
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@ -187,11 +187,11 @@ cdef class Lexeme:
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property suffix:
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def __get__(self): return self.c.suffix
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def __set__(self, int x): self.c.suffix = x
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property cluster:
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def __get__(self): return self.c.cluster
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def __set__(self, int x): self.c.cluster = x
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property lang:
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def __get__(self): return self.c.lang
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def __set__(self, int x): self.c.lang = x
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@ -203,11 +203,11 @@ cdef class Lexeme:
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property lower_:
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def __get__(self): return self.vocab.strings[self.c.lower]
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def __set__(self, unicode x): self.c.lower = self.vocab.strings[x]
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property norm_:
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def __get__(self): return self.vocab.strings[self.c.norm]
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def __set__(self, unicode x): self.c.norm = self.vocab.strings[x]
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property shape_:
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def __get__(self): return self.vocab.strings[self.c.shape]
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def __set__(self, unicode x): self.c.shape = self.vocab.strings[x]
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@ -239,7 +239,7 @@ cdef class Lexeme:
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property is_alpha:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_ALPHA)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_ALPHA, x)
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property is_ascii:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_ASCII)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_ASCII, x)
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@ -260,23 +260,23 @@ cdef class Lexeme:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_PUNCT)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_PUNCT, x)
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property is_space:
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property is_space:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_SPACE)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_SPACE, x)
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property is_bracket:
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property is_bracket:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_BRACKET)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_BRACKET, x)
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property is_quote:
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property is_quote:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_QUOTE)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_QUOTE, x)
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property is_left_punct:
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property is_left_punct:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_LEFT_PUNCT)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_LEFT_PUNCT, x)
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property is_right_punct:
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property is_right_punct:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_RIGHT_PUNCT)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_RIGHT_PUNCT, x)
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@ -284,7 +284,7 @@ cdef class Lexeme:
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property like_url:
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def __get__(self): return Lexeme.c_check_flag(self.c, LIKE_URL)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, LIKE_URL, x)
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property like_num:
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def __get__(self): return Lexeme.c_check_flag(self.c, LIKE_NUM)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, LIKE_NUM, x)
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@ -128,13 +128,13 @@ cdef class Span:
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end = token_by_end(self.doc.c, self.doc.length, self.end_char)
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if end == -1:
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raise IndexError("Error calculating span: Can't find end")
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self.start = start
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self.end = end + 1
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property sent:
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'''The sentence span that this span is a part of.
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Returns:
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Span The sentence this is part of.
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'''
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@ -157,7 +157,7 @@ cdef class Span:
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if 'has_vector' in self.doc.user_span_hooks:
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return self.doc.user_span_hooks['has_vector'](self)
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return any(token.has_vector for token in self)
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property vector:
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def __get__(self):
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if 'vector' in self.doc.user_span_hooks:
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@ -200,9 +200,9 @@ cdef class Span:
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property noun_chunks:
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'''
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Yields base noun-phrase #[code Span] objects, if the document
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has been syntactically parsed. A base noun phrase, or
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'NP chunk', is a noun phrase that does not permit other NPs to
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be nested within it – so no NP-level coordination, no prepositional
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has been syntactically parsed. A base noun phrase, or
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'NP chunk', is a noun phrase that does not permit other NPs to
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be nested within it – so no NP-level coordination, no prepositional
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phrases, and no relative clauses. For example:
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'''
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def __get__(self):
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@ -227,19 +227,19 @@ cdef class Span:
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Returns:
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Token: The root token.
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i.e. has the
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shortest path to the root of the sentence (or is the root itself).
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If multiple words are equally high in the tree, the first word is taken.
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For example:
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>>> toks = nlp(u'I like New York in Autumn.')
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Let's name the indices --- easier than writing "toks[4]" etc.
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>>> i, like, new, york, in_, autumn, dot = range(len(toks))
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>>> i, like, new, york, in_, autumn, dot = range(len(toks))
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The head of 'new' is 'York', and the head of 'York' is 'like'
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@ -301,10 +301,10 @@ cdef class Span:
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return self.doc[self.start]
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else:
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return self.doc[root]
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property lefts:
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"""Tokens that are to the left of the span, whose head is within the Span.
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Yields: Token A left-child of a token of the span.
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"""
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def __get__(self):
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@ -315,7 +315,7 @@ cdef class Span:
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property rights:
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"""Tokens that are to the right of the Span, whose head is within the Span.
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Yields: Token A right-child of a token of the span.
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"""
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def __get__(self):
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