mirror of
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138 lines
4.2 KiB
Cython
138 lines
4.2 KiB
Cython
from __future__ import unicode_literals
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from collections import defaultdict
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from ..structs cimport TokenC, LexemeC
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from ..typedefs cimport flags_t, attr_t
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from ..attrs cimport attr_id_t
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from ..parts_of_speech cimport univ_pos_t
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cdef class Span:
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"""A slice from a Doc object."""
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def __cinit__(self, Doc tokens, int start, int end, int label=0):
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if start < 0:
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start = tokens.length - start
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if end < 0:
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end = tokens.length - end
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self._seq = tokens
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self.start = start
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self.end = end
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self.label = label
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def __richcmp__(self, Span other, int op):
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# Eq
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if op == 0:
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return self.start < other.start
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elif op == 1:
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return self.start <= other.start
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elif op == 2:
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return self.start == other.start and self.end == other.end
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elif op == 3:
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return self.start != other.start or self.end != other.end
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elif op == 4:
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return self.start > other.start
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elif op == 5:
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return self.start >= other.start
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def __len__(self):
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if self.end < self.start:
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return 0
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return self.end - self.start
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def __getitem__(self, int i):
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if i < 0:
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return self._seq[self.end + i]
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else:
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return self._seq[self.start + i]
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def __iter__(self):
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for i in range(self.start, self.end):
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yield self._seq[i]
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def merge(self, unicode tag, unicode lemma, unicode ent_type):
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self._seq.merge(self[0].idx, self[-1].idx + len(self[-1]), tag, lemma, ent_type)
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property root:
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"""The first ancestor of the first word of the span that has its head
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outside the span.
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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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The head of 'new' is 'York', and the head of 'York' is 'like'
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>>> toks[new].head.orth_
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'York'
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>>> toks[york].head.orth_
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'like'
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Create a span for "New York". Its root is "York".
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>>> new_york = toks[new:york+1]
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>>> new_york.root.orth_
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'York'
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When there are multiple words with external dependencies, we take the first:
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>>> toks[autumn].head.orth_, toks[dot].head.orth_
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('in', like')
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>>> autumn_dot = toks[autumn:]
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>>> autumn_dot.root.orth_
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'Autumn'
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"""
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def __get__(self):
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# This should probably be called 'head', and the other one called
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# 'gov'. But we went with 'head' elsehwhere, and now we're stuck =/
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cdef const TokenC* start = &self._seq.data[self.start]
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cdef const TokenC* end = &self._seq.data[self.end]
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head = start
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while start <= (head + head.head) < end and head.head != 0:
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head += head.head
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return self._seq[head - self._seq.data]
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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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def __get__(self):
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for token in reversed(self): # Reverse, so we get the tokens in order
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for left in token.lefts:
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if left.i < self.start:
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yield left
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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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def __get__(self):
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for token in self:
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for right in token.rights:
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if right.i >= self.end:
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yield right
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property subtree:
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def __get__(self):
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for word in self.lefts:
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yield from word.subtree
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yield from self
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for word in self.rights:
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yield from word.subtree
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property orth_:
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def __get__(self):
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return ''.join([t.string for t in self]).strip()
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property lemma_:
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def __get__(self):
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return ' '.join([t.lemma_ for t in self]).strip()
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property string:
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def __get__(self):
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return ''.join([t.string for t in self])
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property label_:
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def __get__(self):
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return self._seq.vocab.strings[self.label]
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