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			131 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			Cython
		
	
	
	
	
	
			
		
		
	
	
			131 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			Cython
		
	
	
	
	
	
| from __future__ import unicode_literals
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| from collections import defaultdict
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| 
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| from ..structs cimport Morphology, TokenC, LexemeC
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| from ..typedefs cimport flags_t, attr_id_t, attr_t
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| from ..parts_of_speech cimport univ_pos_t
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| 
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| 
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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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| 
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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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| 
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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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| 
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|     def __getitem__(self, int i):
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|         return self._seq[self.start + i]
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| 
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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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| 
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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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|         
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|         For example:
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|         
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|         >>> toks = nlp(u'I like New York in Autumn.')
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| 
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|         Let's name the indices --- easier than writing "toks[4]" etc.
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| 
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|         >>> i, like, new, york, in_, autumn, dot = range(len(toks)) 
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| 
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|         The head of 'new' is 'York', and the head of 'York' is 'like'
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| 
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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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| 
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|         Create a span for "New York". Its root is "York".
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| 
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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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| 
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|         When there are multiple words with external dependencies, we take the first:
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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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