<s> try : <EOL> from itertools import izip <EOL> except ImportError : <EOL> izip = zip <EOL> import numpy as np <EOL> from . accuracy_cython import compute_rank_violations <EOL> def read_analogy_file ( filename ) : <EOL> """<STR_LIT>""" <EOL> section = None <EOL> with open ( filename , '<STR_LIT:r>' ) as questions_file : <EOL> for line in questions_file : <EOL> if line . startswith ( '<STR_LIT::>' ) : <EOL> section = line [ <NUM_LIT:2> : ] . replace ( '<STR_LIT:\n>' , '<STR_LIT>' ) <EOL> continue <EOL> else : <EOL> words = line . replace ( '<STR_LIT:\n>' , '<STR_LIT>' ) . split ( '<STR_LIT:U+0020>' ) <EOL> yield section , words <EOL> def construct_analogy_test_set ( test_examples , dictionary , ignore_missing = False ) : <EOL> """<STR_LIT>""" <EOL> test = [ ] <EOL> for example in test_examples : <EOL> try : <EOL> test . append ( [ dictionary [ word ] for word in example ] ) <EOL> except KeyError : <EOL> if ignore_missing : <EOL> pass <EOL> else : <EOL> raise <EOL> try : <EOL> test = np . array ( test , dtype = np . int32 ) <EOL> except ValueError as e : <EOL> raise ValueError ( '<STR_LIT>' <EOL> '<STR_LIT>' , e ) <EOL> return test <EOL> def analogy_rank_score ( analogies , word_vectors , no_threads = <NUM_LIT:1> ) : <EOL> """<STR_LIT>""" <EOL> input_vectors = ( word_vectors [ analogies [ : , <NUM_LIT:1> ] ] <EOL> + word_vectors [ analogies [ : , <NUM_LIT:2> ] ] <EOL> - word_vectors [ analogies [ : , <NUM_LIT:0> ] ] ) <EOL> word_vector_norms = np . linalg . norm ( word_vectors , <EOL> axis = <NUM_LIT:1> ) <EOL> rank_violations = np . zeros ( input_vectors . shape [ <NUM_LIT:0> ] , dtype = np . int32 ) <EOL> compute_rank_violations ( word_vectors , <EOL> word_vector_norms , <EOL> input_vectors , <EOL> analogies [ : , <NUM_LIT:3> ] , <EOL> analogies , <EOL> rank_violations , <EOL> no_threads ) <EOL> return rank_violations / float ( word_vectors . shape [ <NUM_LIT:0> ] ) </s>
