From 0859d986867ace4b22dad53f1bf0fe7c99d3fdfa Mon Sep 17 00:00:00 2001 From: Prakhar Pratyush Date: Wed, 28 Jun 2017 14:57:46 +0530 Subject: [PATCH] Loading fastText models using only bin file + travis hotfix (#1341) * french wiki issue resolved * bin and vec mismatch handled * added test from bin only loading * [WIP] loading bin only * word vec from its ngrams * [WIP] word vec from ngrams * [WIP] getting syn0 from all n-grams * [TDD] test comparing word vector from bin_only and default loading * cleaned up test code * added docstring for bin_only * resolved wiki.fr issue * pep8 fixes * default bin file loading only * logging info modified plus changes a/c review * removed unused code in fasttext.py * removed unused codes and vec files from test * added lee_fasttext vec files again * re-added removed files and unused codes * added file name in logging info * removing unused load_word2vec_format code * updated logging info and comments * input file name with or without .bin both accepted * resolved typo mistake * test for file name * minor change to input filename handling in ft wrapper * changes to logging and assert messages, pep8 fixes * removes redundant .vec files * fixes utf8 bug in flake8_diff.sh script --- continuous_integration/travis/flake8_diff.sh | 5 +- gensim/models/wrappers/fasttext.py | 75 +- gensim/test/test_data/cp852_fasttext.vec | 172 -- gensim/test/test_data/lee_fasttext_new.vec | 1764 ------------------ gensim/test/test_data/non_ascii_fasttext.vec | 172 -- gensim/test/test_fasttext_wrapper.py | 10 +- 6 files changed, 66 insertions(+), 2132 deletions(-) delete mode 100644 gensim/test/test_data/cp852_fasttext.vec delete mode 100644 gensim/test/test_data/lee_fasttext_new.vec delete mode 100644 gensim/test/test_data/non_ascii_fasttext.vec diff --git a/continuous_integration/travis/flake8_diff.sh b/continuous_integration/travis/flake8_diff.sh index 14b4432915..514ec3cd84 100755 --- a/continuous_integration/travis/flake8_diff.sh +++ b/continuous_integration/travis/flake8_diff.sh @@ -115,9 +115,10 @@ echo -e '\nRunning flake8 on the diff in the range' "$COMMIT_RANGE" \ echo '--------------------------------------------------------------------------------' # We ignore files from sklearn/externals. +# Excluding vec files since they contain non-utf8 content and flake8 raises exception for non-utf8 input # We need the following command to exit with 0 hence the echo in case # there is no match -MODIFIED_FILES="$(git diff --name-only $COMMIT_RANGE || echo "no_match")" +MODIFIED_FILES="$(git diff --name-only $COMMIT_RANGE -- . ':(exclude)*.vec' || echo "no_match")" check_files() { files="$1" @@ -133,6 +134,6 @@ check_files() { if [[ "$MODIFIED_FILES" == "no_match" ]]; then echo "No file has been modified" else - check_files "$(echo "$MODIFIED_FILES" )" "--ignore=E501,E731,E12,W503 --exclude=*.sh,*.md,*.yml,*.rst,*.ipynb,*.txt,*.csv,*.vec,Dockerfile*" + check_files "$(echo "$MODIFIED_FILES" )" "--ignore=E501,E731,E12,W503 --exclude=*.sh,*.md,*.yml,*.rst,*.ipynb,*.txt,*.csv,Dockerfile*" fi echo -e "No problem detected by flake8\n" diff --git a/gensim/models/wrappers/fasttext.py b/gensim/models/wrappers/fasttext.py index 637d6c7662..9f68d67ca0 100644 --- a/gensim/models/wrappers/fasttext.py +++ b/gensim/models/wrappers/fasttext.py @@ -35,7 +35,7 @@ import numpy as np from numpy import float32 as REAL, sqrt, newaxis from gensim import utils -from gensim.models.keyedvectors import KeyedVectors +from gensim.models.keyedvectors import KeyedVectors, Vocab from gensim.models.word2vec import Word2Vec from six import string_types @@ -222,10 +222,6 @@ def save(self, *args, **kwargs): kwargs['ignore'] = kwargs.get('ignore', ['syn0norm', 'syn0_all_norm']) super(FastText, self).save(*args, **kwargs) - @classmethod - def load_word2vec_format(cls, *args, **kwargs): - return FastTextKeyedVectors.load_word2vec_format(*args, **kwargs) - @classmethod def load_fasttext_format(cls, model_file, encoding='utf8'): """ @@ -235,13 +231,17 @@ def load_fasttext_format(cls, model_file, encoding='utf8'): with a model loaded this way, though you can query for word similarity etc. `model_file` is the path to the FastText output files. - FastText outputs two training files - `/path/to/train.vec` and `/path/to/train.bin` - Expected value for this example: `/path/to/train` + FastText outputs two model files - `/path/to/model.vec` and `/path/to/model.bin` + + Expected value for this example: `/path/to/model` or `/path/to/model.bin`, + as gensim requires only `.bin` file to load entire fastText model. """ model = cls() - model.wv = cls.load_word2vec_format('%s.vec' % model_file, encoding=encoding) - model.load_binary_data('%s.bin' % model_file, encoding=encoding) + if not model_file.endswith('.bin'): + model_file += '.bin' + model.file_name = model_file + model.load_binary_data(encoding=encoding) return model @classmethod @@ -254,9 +254,9 @@ def delete_training_files(cls, model_file): logger.debug('Training files %s not found when attempting to delete', model_file) pass - def load_binary_data(self, model_binary_file, encoding='utf8'): + def load_binary_data(self, encoding='utf8'): """Loads data from the output binary file created by FastText training""" - with utils.smart_open(model_binary_file, 'rb') as f: + with utils.smart_open(self.file_name, 'rb') as f: self.load_model_params(f) self.load_dict(f, encoding=encoding) self.load_vectors(f) @@ -287,12 +287,12 @@ def load_model_params(self, file_handle): def load_dict(self, file_handle, encoding='utf8'): vocab_size, nwords, _ = self.struct_unpack(file_handle, '@3i') # Vocab stored by [Dictionary::save](https://github.com/facebookresearch/fastText/blob/master/src/dictionary.cc) - assert len(self.wv.vocab) == nwords, 'mismatch between vocab sizes' - assert len(self.wv.vocab) == vocab_size, 'mismatch between vocab sizes' + logger.info("loading %s words for fastText model from %s", vocab_size, self.file_name) + self.struct_unpack(file_handle, '@1q') # number of tokens if self.new_format: pruneidx_size, = self.struct_unpack(file_handle, '@q') - for i in range(nwords): + for i in range(vocab_size): word_bytes = b'' char_byte = file_handle.read(1) # Read vocab word @@ -301,8 +301,26 @@ def load_dict(self, file_handle, encoding='utf8'): char_byte = file_handle.read(1) word = word_bytes.decode(encoding) count, _ = self.struct_unpack(file_handle, '@qb') - assert self.wv.vocab[word].index == i, 'mismatch between gensim word index and fastText word index' - self.wv.vocab[word].count = count + + if i == nwords and i < vocab_size: + # To handle the error in pretrained vector wiki.fr (French). + # For more info : https://github.com/facebookresearch/fastText/issues/218 + + assert word == "__label__", ( + 'mismatched vocab_size ({}) and nwords ({}), extra word "{}"'.format(vocab_size, nwords, word)) + continue # don't add word to vocab + + self.wv.vocab[word] = Vocab(index=i, count=count) + self.wv.index2word.append(word) + + assert len(self.wv.vocab) == nwords, ( + 'mismatch between final vocab size ({} words), ' + 'and expected number of words ({} words)'.format(len(self.wv.vocab), nwords)) + if len(self.wv.vocab) != vocab_size: + # expecting to log this warning only for pretrained french vector, wiki.fr + logger.warning( + "mismatch between final vocab size (%s words), and expected vocab size (%s words)", + len(self.wv.vocab), vocab_size) if self.new_format: for j in range(pruneidx_size): @@ -313,7 +331,8 @@ def load_vectors(self, file_handle): self.struct_unpack(file_handle, '@?') # bool quant_input in fasttext.cc num_vectors, dim = self.struct_unpack(file_handle, '@2q') # Vectors stored by [Matrix::save](https://github.com/facebookresearch/fastText/blob/master/src/matrix.cc) - assert self.vector_size == dim, 'mismatch between model sizes' + assert self.vector_size == dim, ( + 'mismatch between vector size in model params ({}) and model vectors ({})'.format(self.vector_size, dim)) float_size = struct.calcsize('@f') if float_size == 4: dtype = np.dtype(np.float32) @@ -324,7 +343,9 @@ def load_vectors(self, file_handle): self.wv.syn0_all = np.fromfile(file_handle, dtype=dtype, count=num_vectors * dim) self.wv.syn0_all = self.wv.syn0_all.reshape((num_vectors, dim)) assert self.wv.syn0_all.shape == (self.bucket + len(self.wv.vocab), self.vector_size), \ - 'mismatch between weight matrix shape and vocab/model size' + 'mismatch between actual weight matrix shape {} and expected shape {}'.format( + self.wv.syn0_all.shape, (self.bucket + len(self.wv.vocab), self.vector_size)) + self.init_ngrams() def struct_unpack(self, file_handle, fmt): @@ -340,8 +361,12 @@ def init_ngrams(self): """ self.wv.ngrams = {} all_ngrams = [] - for w, v in self.wv.vocab.items(): + self.wv.syn0 = np.zeros((len(self.wv.vocab), self.vector_size), dtype=REAL) + + for w, vocab in self.wv.vocab.items(): all_ngrams += self.compute_ngrams(w, self.wv.min_n, self.wv.max_n) + self.wv.syn0[vocab.index] += np.array(self.wv.syn0_all[vocab.index]) + all_ngrams = set(all_ngrams) self.num_ngram_vectors = len(all_ngrams) ngram_indices = [] @@ -351,6 +376,18 @@ def init_ngrams(self): self.wv.ngrams[ngram] = i self.wv.syn0_all = self.wv.syn0_all.take(ngram_indices, axis=0) + ngram_weights = self.wv.syn0_all + + logger.info("loading weights for %s words for fastText model from %s", len(self.wv.vocab), self.file_name) + + for w, vocab in self.wv.vocab.items(): + word_ngrams = self.compute_ngrams(w, self.wv.min_n, self.wv.max_n) + for word_ngram in word_ngrams: + self.wv.syn0[vocab.index] += np.array(ngram_weights[self.wv.ngrams[word_ngram]]) + + self.wv.syn0[vocab.index] /= (len(word_ngrams) + 1) + logger.info("loaded %s weight matrix for fastText model from %s", self.wv.syn0.shape, self.file_name) + @staticmethod def compute_ngrams(word, min_n, max_n): ngram_indices = [] diff --git a/gensim/test/test_data/cp852_fasttext.vec b/gensim/test/test_data/cp852_fasttext.vec deleted file mode 100644 index 9d1969b0f6..0000000000 --- a/gensim/test/test_data/cp852_fasttext.vec +++ /dev/null @@ -1,172 +0,0 @@ -171 2 -ji -0.79132 1.9605 -kter -0.90811 1.6411 -jen -0.91547 2.0157 -podle -0.64689 1.6221 -zde -0.79732 2.4019 -u -0.69159 1.7167 -bt -0.455 1.3266 -vce -0.75901 1.688 -bude -0.71114 2.0771 -ji -0.73027 1.267 -ne -0.97888 1.8332 -vs -0.72803 1.6653 -by -0.75761 1.9683 -kter -0.68791 1.6069 -co -1.0059 1.6869 -nebo -0.94393 1.9611 -ten -0.71975 2.124 -tak -0.80566 2.0783 -m -0.83065 1.3732 -pi -0.62158 1.8313 -od -0.44113 1.7755 -po -0.7059 2.2615 -tipy -0.60682 1.7247 -jet 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0.083715 -0.19048 0.058815 -rights -0.20597 -0.081837 0.23318 -0.95121 0.41999 -1.0853 0.54029 0.19495 -0.12341 -0.20142 -Pacific -0.36132 -0.22185 0.15185 -0.91572 0.11814 -0.98048 0.49792 0.085878 -0.12503 0.16658 -Simon -0.11685 -0.038896 0.079094 -0.84486 -0.31179 -0.8822 0.37843 0.17594 -0.24671 0.21485 -fellow -0.45967 -0.043865 0.13649 -0.96167 0.12351 -0.86724 0.40706 -0.046775 -0.1364 -0.08718 -force, -0.34743 -0.29381 0.050942 -0.95045 0.59266 -1.2173 0.36728 0.035491 -0.18104 -0.20573 -freeze -0.49273 -0.15795 0.18215 -0.92833 0.079104 -0.90847 0.41997 0.11126 -0.19785 -0.084013 -damaged 0.0012511 -0.030074 0.25001 -0.92128 -0.0029533 -0.96183 0.34022 0.3789 -0.33441 0.096431 -mean -0.4804 -0.16951 0.048943 -0.8598 -0.24383 -0.88889 0.42948 -0.0015202 -0.15628 0.17191 -tennis -0.24646 -0.071839 0.15165 -0.98835 0.22813 -0.84679 0.51183 0.010715 -0.28158 0.15038 -him. -0.27782 -0.08642 0.096749 -0.80777 -0.36018 -0.76288 0.38563 0.046946 -0.23796 0.26555 -threat -0.26372 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0.20151 -0.98647 0.45259 0.17178 -0.35125 -0.016036 -control. -0.068946 -0.18804 0.15451 -0.96441 0.13366 -0.85439 0.44594 0.25796 -0.29269 0.21424 -began -0.50454 -0.24755 0.12876 -0.91359 0.13738 -0.95903 0.47035 -0.066543 -0.18543 0.0047818 -hour 0.045793 0.092578 0.14008 -0.95575 -0.041559 -0.93366 0.37378 0.18275 -0.45589 -0.011432 -airport -0.092699 -0.1598 0.17511 -0.98575 0.21607 -0.82413 0.43506 0.063688 -0.17872 0.20286 -management -0.30659 -0.33859 0.14841 -0.85527 0.066927 -0.95052 0.4215 0.204 -0.13698 0.074181 -areas. -0.051095 -0.24853 0.46468 -1.0684 0.18378 -0.69016 0.43616 0.13457 -0.18965 0.33674 -confirm -0.43539 -0.32098 0.1932 -1.0501 0.14579 -0.792 0.37887 -0.013652 -0.033518 0.20015 -direct -0.082884 -0.18384 0.26525 -0.93763 0.065223 -0.92336 0.21136 0.23335 -0.21433 -0.011837 -crackdown -0.33707 -0.15978 0.19845 -0.96674 0.18365 -0.92571 0.43693 0.018279 -0.18878 0.032471 -everything -0.28963 -0.19187 0.12756 -0.86967 -0.39614 -0.72188 0.42214 0.060443 -0.25329 0.29818 -Laden, -0.92949 -0.26304 0.38363 -1.1598 0.41546 -0.88893 0.15614 -0.41996 0.010165 -0.21182 -March -0.38713 0.086237 0.15301 -0.86982 -0.33435 -0.78235 0.48544 0.094351 -0.31309 0.13725 -Attorney-General -0.25057 -0.19638 0.18944 -0.93629 -0.090629 -0.86499 0.42347 0.20342 -0.21998 0.22308 -Endeavour -0.22169 -0.092432 0.035077 -0.8808 0.029427 -0.86335 0.45579 0.044855 -0.27194 0.15782 -Pakistan's -0.92088 -0.49816 0.079493 -1.014 0.8061 -1.2665 0.45884 -0.23544 0.10661 -0.39567 -Ian -0.3708 -0.067236 0.096163 -0.93513 0.45945 -1.062 0.56056 -0.14612 -0.066785 -0.0086675 -Bank, -0.26307 -0.19509 0.17071 -1.0483 0.64624 -1.0057 0.50766 -0.13061 -0.14266 -0.067282 -space -0.24785 0.031023 -0.20854 -0.93185 0.16903 -0.94983 0.57514 0.011342 -0.29523 0.03631 -remains -0.27094 0.020081 0.089926 -0.99737 0.34499 -0.91512 0.50734 0.072577 -0.15759 -0.05245 -explosives -0.36031 -0.15429 0.078313 -0.92549 0.08738 -0.9409 0.45157 0.0516 -0.18237 0.033363 -east -0.19675 0.12544 0.10072 -1.019 0.81313 -1.0884 0.62149 0.11888 -0.29042 -0.42242 -25 0.11895 -0.056397 0.090409 -1.0446 0.10077 -0.95928 0.33355 0.070212 -0.30139 0.21796 -battle -0.27846 -0.070352 0.15079 -0.98463 -0.38279 -0.72243 0.37669 -0.068275 -0.2686 0.37715 -Jason -0.187 -0.015456 0.11623 -0.84792 0.19114 -1.0272 0.57475 0.18859 -0.29507 -0.12471 -Lockett -0.46609 -0.11666 0.14205 -0.89711 -0.25063 -0.81773 0.36452 0.064722 -0.31159 0.10607 -capital -0.22541 -0.12107 0.028604 -0.9452 0.57696 -1.1292 0.53787 -0.050462 -0.10325 -0.17973 -ahead -0.24124 -0.16768 0.13893 -0.91959 0.26864 -0.91944 0.44784 0.040978 -0.18457 0.11707 -Party -0.23333 -0.12322 0.061631 -0.94488 0.12722 -0.97368 0.53133 0.095747 -0.20035 0.10882 -didn't -0.37202 -0.12961 0.099155 -0.96571 0.32674 -1.1425 0.39862 -0.089292 -0.15754 -0.16824 -storms -0.13308 -0.07898 0.3656 -1.0861 -0.076813 -0.763 0.3458 0.080008 -0.2326 0.2837 -signed -0.2608 -0.26592 0.21975 -1.0783 0.43314 -0.98418 0.34998 -0.14913 -0.069144 -0.058183 -January -0.57483 -0.064061 -0.0063107 -0.88573 0.20769 -1.0344 0.50173 -0.12499 -0.15397 -0.094807 -hopes -0.073326 0.014969 0.3224 -1.0171 -0.37621 -0.62876 0.36393 0.094118 -0.30377 0.4029 -private -0.38831 -0.14378 0.084549 -0.86793 -0.35893 -0.8119 0.42237 0.17419 -0.30477 0.311 -suspended -0.39136 -0.18597 0.041544 -1.016 0.60437 -1.0746 0.45986 -0.19855 -0.054115 -0.17317 -Shaun -0.32093 0.16317 -0.096377 -0.8842 -0.11604 -0.91614 0.56229 -0.06852 -0.32679 0.12307 -payment -0.25827 -0.31973 0.22182 -0.92272 -0.039587 -0.92623 0.39454 0.29695 -0.13683 0.10222 -remaining -0.26889 -0.12486 0.17687 -0.96169 0.25128 -0.94744 0.46965 0.082772 -0.19431 -0.088614 -Harrison's -0.34397 -0.081245 0.11922 -1.0049 0.15445 -0.9469 0.45309 -0.040188 -0.12697 -0.017896 -wanted -0.32708 -0.23356 0.15721 -0.94677 0.11878 -1.0302 0.33616 0.0061313 -0.05673 -0.076851 -gas -0.21353 -0.17003 0.30298 -0.98714 -0.040188 -0.75639 0.33372 -0.027209 -0.23979 0.20234 -wind -0.038783 0.23472 0.17419 -0.94069 -0.49704 -0.72763 0.40959 0.13712 -0.47081 0.33106 -land -0.028609 -0.018359 0.18715 -0.90246 0.045488 -0.98513 0.44541 0.24472 -0.21424 0.13154 -Americans -0.14396 -0.053435 0.091117 -0.97989 0.13175 -0.92375 0.50287 0.10374 -0.3305 0.049118 -market -0.25229 0.091016 0.12493 -0.82617 -0.36877 -0.84742 0.43253 0.21714 -0.35559 0.13219 -wounded -0.3291 -0.25446 0.083525 -1.0483 0.48991 -1.0708 0.47048 -0.087657 -0.073512 -0.02871 -provisional -0.28291 -0.14185 0.011425 -0.79579 0.055761 -0.99861 0.54567 0.1421 -0.211 0.1105 -measures -0.19868 -0.14164 0.28929 -0.90265 0.025215 -0.83739 0.41811 0.21035 -0.22273 0.10311 -added. -0.42632 -0.17106 0.12843 -0.92895 0.14204 -0.93931 0.47269 -0.059101 -0.11808 0.034853 -mission -0.61278 -0.16954 0.00067001 -0.76193 0.061803 -1.0087 0.46712 0.021911 -0.038718 0.030982 -wake -0.093672 0.055472 -0.019713 -0.92111 -0.11022 -0.97104 0.41747 0.10263 -0.27675 0.12806 -airline's -0.22412 -0.12503 0.25227 -0.95896 -0.059966 -0.86024 0.36567 0.09931 -0.19185 0.11832 -secret -0.458 -0.081446 0.11812 -0.8207 -0.17783 -0.88348 0.52513 -0.024678 -0.096435 0.16607 -Ruddock -0.34777 -0.029505 0.024112 -0.80824 0.11575 -0.93498 0.55054 0.086513 -0.1592 0.066195 -happened -0.31539 -0.17737 0.071333 -0.97106 0.22044 -0.94565 0.44359 -0.12155 -0.070321 0.088699 -rise -0.22078 0.016361 0.085381 -0.98863 -0.15084 -0.74209 0.47434 -0.081044 -0.16355 0.23253 -Sharon's -0.61083 0.081367 -0.020081 -0.89849 0.25259 -1.1607 0.51477 -0.4268 0.058208 -0.059512 -strategic -0.31828 -0.19848 0.17038 -0.9227 0.442 -0.9679 0.50203 -0.0076138 -0.17986 0.068369 -keep -0.10788 0.1237 -0.035003 -0.9761 0.023099 -0.89026 0.50539 0.036025 -0.34625 0.13666 -minister -0.81028 -0.045458 -0.015941 -0.78384 0.2495 -1.1529 0.58248 -0.26326 0.068149 0.055324 -sea -0.46396 -0.26388 0.2936 -0.98634 0.18721 -0.75769 0.46366 -0.25523 0.073609 0.27053 -Ray -0.074281 0.020983 0.096088 -1.0812 0.33056 -0.99169 0.58882 0.044375 -0.27237 -0.017101 -visit 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0.29625 -1.0378 0.44472 0.10656 -0.27961 -0.19525 -seeking -0.31141 -0.2143 0.011891 -0.88491 -0.19062 -0.82044 0.4387 -0.062761 -0.24948 0.24342 -research -0.32235 -0.12943 0.19902 -0.92469 -0.032494 -0.85794 0.36539 0.10344 -0.26879 0.15296 -expects -0.17921 -0.14698 0.018943 -0.98205 -0.01159 -0.88842 0.38572 0.051161 -0.20906 0.17928 -it," -0.096694 -0.12084 0.1939 -1.0227 0.013426 -0.71415 0.44316 0.05587 -0.36245 0.27634 -anyone -0.14831 -0.28917 0.18073 -0.96224 0.08969 -1.0285 0.30375 0.036478 -0.11385 -0.0055106 -central -0.26683 -0.14607 0.26665 -0.72907 0.043762 -0.99392 0.51015 0.39524 -0.17656 0.024895 -Ansett -0.40758 0.071663 -0.021865 -0.97622 0.14376 -1.0178 0.55423 0.025754 -0.23671 -0.11201 -resume -0.2187 -0.054911 0.15343 -0.9123 -0.1972 -0.87511 0.37848 0.14455 -0.24542 0.20312 -helped -0.51121 -0.19425 0.082131 -1.0081 0.43923 -1.1074 0.32046 -0.10208 -0.030773 -0.17206 -supporters -0.38632 -0.10143 0.1101 -1.0007 0.31006 -0.84494 0.48594 -0.042092 -0.17304 0.014432 -women 0.062876 -0.046723 0.040559 -1.0124 0.23266 -1.0332 0.48577 0.17471 -0.25969 0.121 -Nauru -0.30785 -0.11305 0.076707 -0.97418 0.019464 -0.79503 0.38329 -0.092909 -0.2986 0.085795 -nothing -0.10046 -0.26032 0.2425 -0.96312 -0.45507 -0.6761 0.31895 0.033381 -0.3226 0.35858 -school -0.34002 -0.14079 0.17584 -0.94491 -0.032758 -0.86983 0.4427 0.1536 -0.13169 0.20775 -started -0.10147 -0.15964 0.25274 -0.98902 -0.00099649 -0.82592 0.40647 0.064374 -0.25575 0.18136 -Force -0.5079 -0.25116 0.06707 -0.91445 0.017578 -0.89055 0.43581 0.033313 -0.10564 0.07492 -negotiating -0.22875 -0.10236 0.016135 -0.93902 0.1019 -0.97418 0.47083 0.13294 -0.3142 -0.034064 -terrorism -0.3095 -0.16914 0.23158 -0.8955 0.14668 -0.97299 0.43941 0.13505 -0.27607 -0.068449 -include -0.3025 -0.13224 0.062704 -0.87496 0.17456 -0.96419 0.46202 0.036182 -0.23544 -0.11814 -issued -0.16907 0.062066 0.13286 -0.93521 -0.03815 -0.85031 0.36243 0.24582 -0.17024 0.062843 -finished -0.35034 -0.14011 0.069695 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-0.16856 -0.29836 0.23797 -0.90876 -0.11726 -0.84583 0.42414 0.1564 -0.25516 0.15827 -recovery -0.20675 -0.18212 0.19319 -0.89779 -0.064241 -0.85309 0.38424 0.17494 -0.21933 0.17171 -Switzerland -0.079992 -0.13598 0.18184 -0.92639 0.054323 -0.93894 0.37569 0.18704 -0.28502 0.12325 -enter -0.45322 -0.01919 0.18559 -0.79178 0.14156 -1.0558 0.60923 0.11858 -0.19179 -0.02854 -doubt -0.32574 0.053422 0.0062525 -0.9487 -0.018581 -0.97107 0.45578 -0.15671 -0.24103 -0.0065333 -cause -0.50551 -0.12227 0.088099 -1.0827 0.016891 -0.88276 0.37197 -0.12661 -0.062636 0.15792 -crowd -0.40782 -0.23396 0.12535 -1.0146 0.051628 -0.88484 0.3862 -0.14947 -0.070023 0.21455 -students -0.19614 -0.093446 0.18796 -1.0112 0.32153 -0.915 0.4746 0.072986 -0.18092 0.036884 -yachts -0.10043 -0.13598 0.28857 -0.93148 0.16356 -0.94541 0.56432 0.17456 -0.27281 0.16088 -mountain -0.5485 -0.088163 0.27787 -1.0609 0.43525 -0.9536 0.4235 -0.0033296 -0.087574 -0.17432 -oil -0.49401 0.027284 0.086111 -0.77788 -0.26105 -0.89366 0.44204 0.070293 -0.21487 -0.035968 -names -0.12431 -0.10413 0.14273 -0.95384 0.0011781 -0.79293 0.37917 -0.00022532 -0.25695 0.13455 -Eve 0.026754 0.033638 0.13392 -0.94275 -0.146 -0.70248 0.46788 0.14457 -0.42444 0.19181 -boats -0.0297 -0.14933 0.3111 -1.04 0.14434 -0.76292 0.42072 0.15491 -0.32255 0.20952 -Philip -0.19464 -0.10752 0.22174 -0.94747 0.077592 -0.9701 0.41533 0.13309 -0.25159 -0.020048 -While -0.32228 -0.12627 0.1897 -0.89911 0.094805 -0.92193 0.48529 0.14728 -0.31592 0.074455 -property -0.24023 -0.26967 0.17315 -0.96327 -0.46607 -0.69738 0.31227 0.11607 -0.24229 0.4851 -River. -0.2681 -0.16975 0.18522 -0.90112 -0.08442 -0.99434 0.40489 0.13814 -0.1938 0.15909 -acting -0.53013 -0.14158 -0.054806 -0.86516 -0.18841 -0.89288 0.42395 0.0077935 -0.24085 -0.023856 -attacks, -0.26184 -0.064943 0.076111 -1.135 1.1445 -1.2878 0.43577 -0.25375 -0.021592 -0.66229 -80 0.19687 -0.0052728 0.11849 -0.99997 -0.26229 -0.74572 0.24241 0.16065 -0.50429 0.38195 -them," -0.12137 -0.21374 0.13169 -1.0482 -0.045658 -0.7064 0.35385 -0.059479 -0.23442 0.25225 -verdict -0.37523 -0.14589 0.21297 -0.90034 0.0082628 -0.88882 0.44354 -0.023509 -0.11883 0.14185 -together -0.41599 -0.11771 0.11297 -0.89298 -0.35122 -0.78593 0.44979 -0.018914 -0.2029 0.32439 -apparently -0.28669 -0.14803 0.16608 -0.90586 -0.11703 -0.78704 0.45045 0.14256 -0.27331 0.16938 -aboard -0.22315 -0.15286 0.22083 -0.9105 0.11552 -0.92815 0.47306 0.053682 -0.17567 0.17077 -area, 0.060098 -0.28676 0.48758 -1.1426 -0.19647 -0.58428 0.30434 0.084059 -0.22395 0.62962 -affected -0.31576 -0.14433 0.15533 -0.90465 0.35061 -1.0104 0.42994 0.02733 -0.076688 -0.10059 -reveal -0.29761 -0.14128 0.13282 -0.90104 -0.13577 -0.93424 0.41919 0.13418 -0.17131 0.14438 -Firefighters -0.14621 -0.1608 0.39446 -1.0887 0.32588 -0.87854 0.47296 0.21558 -0.23373 0.026986 -squad -0.11952 0.19318 0.11819 -1.0138 0.35206 -0.94827 0.57597 0.016621 -0.25446 -0.094914 -swept -0.254 -0.38474 0.3558 -0.89072 -0.2463 -0.79614 0.21236 0.2282 -0.14143 0.40372 -played -0.12248 -0.10612 0.044413 -0.99036 0.062518 -0.93714 0.40971 0.03221 -0.22713 0.076656 -agreed -0.47498 -0.17392 0.11952 -0.93832 0.12854 -1.0205 0.44601 0.026194 -0.083695 -0.075291 -hope -0.20079 -0.22468 0.37713 -1.0259 -0.34884 -0.56551 0.30759 0.068423 -0.3139 0.42521 -Hicks, -0.49856 -0.19744 0.00187 -0.99613 0.52396 -1.0283 0.50948 -0.19591 0.031717 -0.14309 -ready -0.30419 -0.20335 0.17166 -0.85772 -0.46007 -0.75412 0.38355 0.1726 -0.12917 0.40266 -department -0.29198 -0.26417 0.19732 -0.83206 0.12443 -1.0298 0.50087 0.37477 -0.10588 -0.0049605 -doubles -0.18303 0.085722 0.041611 -0.91097 -0.12315 -0.87427 0.58882 0.046346 -0.31335 0.081859 -Gillespie -0.21623 0.065488 0.036796 -0.91373 0.032026 -0.98446 0.523 0.035139 -0.25906 0.014605 -scored -0.17742 0.027689 0.062962 -0.92025 0.35127 -1.0697 0.48265 0.086444 -0.25782 -0.10568 -conflict -0.10585 -0.21113 0.17809 -0.99384 0.22581 -0.88548 0.41597 0.18941 -0.15521 0.13629 -dropped -0.32043 -0.087391 0.11451 -0.94564 0.29418 -1.0107 0.48245 0.031455 -0.16764 -0.093651 -years, -0.0011375 -0.20937 0.11103 -0.99005 0.27352 -0.91087 0.54879 0.21073 -0.28111 0.15536 -Fatah -0.42844 -0.21625 0.049941 -0.90511 0.30765 -1.0389 0.42033 -0.096833 -0.06178 -0.086817 -Friedli -0.31514 -0.2202 0.13265 -0.9082 0.12679 -0.93712 0.36831 0.074354 -0.084924 0.047795 -old -0.69719 -0.18566 0.070685 -1.0067 0.10258 -0.97605 0.44238 -0.1796 -0.052982 0.089902 -Transport -0.15508 -0.11403 0.15107 -0.92124 0.092459 -0.8699 0.4467 0.1271 -0.29248 0.15401 -agency -0.30065 -0.21441 0.035038 -0.91231 0.56437 -1.0848 0.57941 0.034436 -0.11448 -0.15499 -follows -0.017571 0.10862 0.0052477 -0.90609 0.073521 -1.0277 0.5345 0.17643 -0.28208 0.019561 -streets -0.16264 -0.015076 0.17619 -0.93528 0.30503 -0.97626 0.52447 0.13421 -0.26039 0.029433 -debt -0.29361 0.01649 0.11836 -0.9269 -0.1014 -0.8797 0.37439 -0.051927 -0.20218 0.14944 -factions -0.66215 -0.3437 0.0784 -0.91268 0.086813 -0.84447 0.43038 0.10023 -0.11111 0.12388 -dozens -0.020118 -0.041503 -0.0025768 -0.944 0.048652 -0.88489 0.45687 0.10902 -0.31275 0.12495 -Hundreds -0.18794 -0.071425 0.086088 -1.0112 0.47302 -1.0115 0.48967 0.04175 -0.17609 -0.1515 -capital, -0.12553 -0.055046 0.031502 -1.019 0.64319 -1.1797 0.51824 0.0011017 -0.14031 -0.23638 -fierce -0.32886 -0.061441 -0.0085193 -0.97711 0.18292 -0.86985 0.49664 -0.058466 -0.14711 0.11091 -Sunday -0.2073 -0.0074925 0.04898 -0.92262 0.16386 -1.0042 0.49381 -0.054376 -0.23898 -0.070552 -2001 -0.34211 -0.11376 0.19554 -0.89605 0.34288 -0.93222 0.43281 0.0060886 -0.18179 -0.055397 -attempting -0.20869 -0.03348 -0.12391 -0.94975 0.37949 -1.0764 0.48798 -0.10882 -0.1925 -0.18612 -races -0.012184 0.16111 0.060192 -0.99748 0.41683 -1.0134 0.55748 0.12327 -0.26316 -0.13532 -prior -0.39419 -0.24487 0.17659 -0.9468 0.046177 -0.91649 0.39508 -0.010464 -0.17617 0.29622 -Japanese -0.24729 -0.2236 0.2223 -0.88269 0.19642 -0.9013 0.48408 0.14182 -0.19541 -0.016586 -domestic -0.090836 -0.11496 0.22062 -0.94755 -0.021954 -0.86699 0.48926 0.26807 -0.34971 0.16311 -Internet -0.44494 -0.081498 0.22393 -0.86936 0.25624 -1.0817 0.53033 0.019088 -0.15582 -0.081715 -spread -0.34286 0.0085029 0.12235 -0.96069 -0.014924 -0.85794 0.43675 -0.0030413 -0.14867 0.16879 -create -0.16881 0.0015007 0.25886 -0.89012 -0.22962 -0.83982 0.39156 0.25736 -0.3609 0.21564 -playing -0.30897 -0.044987 -0.018034 -0.89053 -0.18541 -0.96471 0.48865 -0.052599 -0.31886 -0.044458 -growing 0.019896 -0.049953 0.18254 -0.98348 -0.16335 -0.84057 0.47503 0.18023 -0.3839 0.12714 -scheduled -0.3439 -0.11101 0.15367 -0.98378 0.19435 -1.0042 0.41828 0.024073 -0.067868 -0.007766 -factory -0.45105 -0.087521 0.030059 -0.97854 -0.027822 -1.0114 0.44714 -0.057401 -0.21847 0.092436 -knowledge -0.3498 -0.13386 0.19503 -0.9762 0.07868 -0.96534 0.3975 -0.048246 -0.17176 0.031962 -save -0.38017 -0.23925 0.33928 -0.94021 -0.35619 -0.73018 0.26854 -0.049871 -0.066799 0.41109 -holiday -0.17117 0.021268 0.12256 -0.95257 0.54454 -0.99889 0.51952 0.066868 -0.25515 -0.20265 -Timor -0.086932 -0.14251 0.27041 -0.80165 0.1293 -0.96345 0.48208 0.44571 -0.29487 0.001174 -Thursday -0.16804 0.032178 0.17198 -0.89441 0.064809 -0.94998 0.5231 0.14831 -0.32066 -0.046057 -recent -0.14141 -0.21349 0.34583 -0.80142 0.047077 -0.96236 0.44747 0.59265 -0.15062 0.12291 -revealed -0.311 -0.1451 0.11148 -0.9362 0.070507 -1.0092 0.43316 0.023024 -0.12374 0.015503 -rain -0.71506 0.070684 0.009715 -0.93109 0.32285 -0.98704 0.52257 -0.17777 -0.1588 -0.21132 -Professor -0.34146 -0.047432 0.047709 -0.85468 -0.34078 -0.80689 0.38297 0.011803 -0.29741 0.29715 -"But -0.23533 -0.072159 0.11926 -0.96619 -0.25722 -0.77987 0.46747 -0.052188 -0.22124 0.32704 -statement. -0.25781 -0.23333 0.21852 -1.0081 0.55942 -1.0465 0.4925 -0.026883 -0.06044 -0.095841 -Solomon -0.1112 -0.17747 0.30167 -0.94309 0.1185 -0.95132 0.39373 0.2722 -0.16205 0.048385 -organisations -0.31664 -0.15481 0.086478 -0.91277 0.24868 -0.91472 0.51023 0.1276 -0.26093 0.067923 -runs -0.081029 0.15482 0.10812 -0.95525 0.16914 -0.87168 0.50043 0.24514 -0.40289 -0.089365 -respond -0.12951 -0.13325 0.25617 -0.99682 -0.036371 -0.84081 0.34943 0.22771 -0.22782 0.15075 -Michael -0.27256 -0.1403 0.14789 -0.84897 0.11625 -0.89961 0.44581 -0.021928 -0.093597 0.08034 -When -0.3826 -0.067863 0.1181 -0.95835 -0.24689 -0.80123 0.4205 -0.12366 -0.28273 0.26885 -40 -0.080944 -0.030479 0.48167 -1.0393 -0.23531 -0.65996 0.23723 0.1509 -0.12914 0.17171 -Hayden -0.26217 0.13508 0.056591 -1.0181 0.060048 -0.92058 0.46848 -0.06749 -0.26086 -0.062866 -attack. -0.2187 -0.054543 0.15759 -1.1832 0.91744 -1.218 0.35545 -0.205 -0.083368 -0.48719 -Earlier -0.35822 0.034622 0.045342 -0.84545 0.2501 -1.0562 0.53407 -0.14539 -0.2124 -0.041862 -Indonesia -0.13118 0.068667 0.079238 -0.90011 -0.074519 -0.92243 0.52518 0.13945 -0.25327 0.099072 -Sarah -0.29148 -0.083626 0.10898 -0.96221 0.095324 -0.90043 0.48371 0.16895 -0.13041 0.13251 -detain -0.35919 -0.070197 0.25744 -0.8393 0.011666 -0.98708 0.45426 0.19846 -0.17789 0.032611 -Neil -0.4231 0.11533 0.060575 -0.94699 -0.31259 -0.88055 0.5079 0.012363 -0.18818 0.047914 -states 0.035746 -0.23303 0.46542 -1.061 0.50206 -0.87712 0.40336 0.011969 -0.23725 0.047316 -4,000 -0.062591 0.016686 -0.018896 -0.91001 -0.16483 -0.83083 0.41536 0.25611 -0.34508 0.053079 -things -0.051032 -0.15411 0.11416 -0.91539 -0.13999 -0.74606 0.36922 0.042876 -0.36282 0.21292 -toll -0.051031 -0.074063 -0.050378 -0.81443 -0.16458 -0.86624 0.50923 0.13427 -0.31809 0.16723 -you're -0.059447 -0.12139 0.1556 -1.0472 -0.35454 -0.73766 0.27145 0.065707 -0.33578 0.33058 -felt -0.43935 -0.029357 0.056699 -1.0074 -0.012995 -0.77477 0.40277 -0.15507 -0.20878 0.065392 -deployed 0.053162 -0.1647 0.22864 -0.97735 0.35141 -0.99622 0.42883 0.28513 -0.2113 0.045679 -Hamas, -0.33651 -0.27008 0.13846 -0.95793 0.30384 -0.96349 0.42221 0.066626 -0.14882 0.029652 -gun -0.19859 -0.12881 -0.085064 -0.77327 -0.15347 -1.0126 0.51969 -0.022194 -0.37624 -0.040505 -Senior -0.22561 -0.12378 0.17376 -0.97379 0.44761 -0.99742 0.52638 -0.025954 -0.082844 -0.089523 -plan -0.40868 -0.099606 0.13781 -0.87832 0.010708 -0.91702 0.48558 -0.034796 -0.17617 0.13689 -elected -0.13135 0.04798 0.14718 -0.88991 0.044746 -0.96795 0.40639 0.12036 -0.23581 -0.0068139 -government, -0.27946 -0.2585 0.1293 -0.85924 0.25008 -1.0282 0.60002 0.2802 -0.16703 0.092715 -north. 0.11999 0.082092 0.12268 -1.0197 0.096272 -0.83958 0.56722 0.2645 -0.31074 0.18826 -tailenders -0.37816 -0.044353 -0.0033328 -0.92389 0.26644 -1.0267 0.46643 -0.02207 -0.17795 -0.20222 -B-52 -0.33645 -0.14164 -0.034415 -1.0395 0.44756 -0.93329 0.52896 -0.1543 -0.19566 -0.048659 -advice -0.019011 -0.080755 0.13782 -1.0027 -0.14265 -0.75955 0.37166 0.25948 -0.27782 0.3537 -continues -0.31877 -0.08533 0.23952 -1.0301 0.1736 -0.92963 0.4279 0.22104 -0.16045 0.032999 -Lording -0.44379 -0.31877 -0.02095 -0.89717 0.27762 -1.0258 0.49945 -0.15816 -0.072751 -0.17291 -body -0.27807 -0.043922 -0.064788 -0.85849 0.4291 -1.0043 0.5301 -0.15222 -0.14431 -0.10526 -died. -0.28004 -0.15246 -0.050408 -0.89943 0.25872 -1.1047 0.51751 0.027965 -0.16932 0.011267 -Melbourne, -0.16467 -0.0016058 0.15283 -0.917 -0.25817 -0.83193 0.39381 0.033862 -0.38796 0.1885 -activity -0.4133 -0.23608 0.042298 -0.90558 0.024862 -0.93733 0.37843 0.10265 -0.13713 0.092931 -Krishna -0.37526 -0.19429 0.26769 -0.98535 0.13161 -0.93223 0.42722 -0.041666 -0.18585 0.028535 -crossed -0.070605 -0.052971 0.25836 -1.0456 0.26535 -1.0064 0.47807 0.18456 -0.31118 -0.08613 -described -0.21603 -0.1074 0.13553 -0.93613 0.040677 -0.93754 0.39861 0.10401 -0.22784 0.060417 -suffered -0.24294 -0.18708 0.019853 -0.95508 0.11403 -0.92028 0.46586 -0.0031084 -0.14647 0.12232 -500 -0.10623 0.18396 -0.090181 -1.01 0.1596 -0.86083 0.49228 0.10059 -0.22581 -0.014477 -militants. -0.45571 -0.19868 0.017953 -0.93778 0.71889 -1.1236 0.51809 -0.12618 -0.058003 -0.21578 -rescue -0.26812 -0.02935 0.10839 -0.92493 -0.17213 -0.96675 0.37002 0.15285 -0.25694 0.13041 -walk -0.22773 0.038052 -0.11351 -0.80286 0.32745 -1.1318 0.54419 0.0089137 -0.22752 -0.081451 -That -0.1364 -0.029955 0.15664 -0.88105 -0.49632 -0.69868 0.40827 0.12486 -0.43356 0.32152 -diplomatic -0.25385 -0.12728 0.056069 -0.94035 0.0083836 -0.90342 0.41262 -0.015823 -0.21035 0.12273 -directors -0.077749 -0.14422 0.21524 -0.95906 -0.036602 -0.91827 0.31253 0.2058 -0.25 0.12023 -concern -0.30573 -0.29248 0.31705 -0.99877 0.075426 -0.84557 0.39936 0.22679 -0.052918 0.24857 -Ricky -0.53879 -0.0035531 0.062384 -1.0496 0.017301 -0.8555 0.45923 -0.17582 -0.26331 -0.021441 -attacking -0.19124 -0.011663 0.046328 -1.0701 0.61407 -1.1884 0.46141 -0.13146 -0.16939 -0.36588 -handed -0.32916 -0.28368 0.13324 -1.0037 0.43082 -1.022 0.45323 -0.087054 -0.061207 -0.075076 -edge -0.030324 0.011877 0.20697 -0.91813 0.29694 -1.065 0.38935 0.097339 -0.26136 -0.037787 -weekend. -0.24846 -0.18026 0.12221 -0.98336 0.063706 -0.77877 0.3955 -0.036036 -0.26551 0.25798 -why -0.54003 -0.17741 0.15215 -0.98643 0.38637 -1.0131 0.40792 -0.3226 -0.1438 0.0090477 -country. -0.33879 -0.12475 0.19287 -0.88116 0.034972 -0.88351 0.47031 0.21101 -0.26327 0.064972 -promised -0.33058 -0.19621 0.14678 -0.87526 0.24515 -1.0454 0.45322 0.11116 -0.14254 -0.030859 -Radio -0.40828 -0.053057 0.12387 -0.9347 0.2561 -0.9069 0.5037 -0.12057 -0.10187 -0.042171 -According -0.40444 -0.16357 0.086887 -0.89811 0.32539 -1.0539 0.52773 -0.041895 -0.20015 -0.28409 -investigating -0.17936 -0.11615 0.037612 -0.88204 0.20279 -1.0224 0.50793 0.16582 -0.24511 -0.019877 -Sydney's 0.26561 0.12441 0.31024 -1.0951 0.18804 -0.78061 0.58081 0.22754 -0.37633 0.18482 -civil -0.27172 -0.091949 0.087172 -1.0009 0.018191 -0.81623 0.45942 0.026575 -0.21189 0.17785 -Ministry -0.67236 -0.23749 0.14073 -0.8914 0.29613 -1.0714 0.49386 -0.16486 0.15936 0.069926 -Pakistan. -0.862 -0.55687 0.208 -1.0142 0.66765 -1.1684 0.38819 -0.14924 0.07302 -0.32486 -blaze -0.45721 -0.094917 0.039373 -1.0435 0.53644 -1.008 0.48946 -0.11726 -0.058373 -0.1909 -form -0.34916 -0.017953 -0.015494 -0.90177 0.14814 -1.154 0.44586 0.098764 -0.18015 -0.20346 -showed -0.29118 -0.22855 0.27023 -1.0458 0.11953 -0.83314 0.3252 -0.025419 -0.054188 0.13709 -field -0.18158 -0.17807 0.31801 -0.99627 -0.10492 -0.7835 0.45081 0.068907 -0.17304 0.29566 -period -0.24461 -0.075453 -0.0059673 -0.87738 0.42241 -1.0123 0.52005 0.092256 -0.21545 -0.044755 -action. -0.65352 -0.39539 0.19935 -0.9616 -0.052078 -0.81066 0.31832 0.10863 -0.05101 0.15773 -threatened -0.28797 -0.095794 0.1904 -0.98768 0.20751 -0.9698 0.3816 -0.079589 -0.1922 0.073733 -game -0.19809 -0.0086769 -0.066625 -0.93597 -0.36786 -0.73464 0.42883 0.018447 -0.48203 0.24025 -open -0.30496 0.025563 -0.024002 -0.92346 0.24914 -1.0943 0.49335 -0.27707 -0.17528 -0.25764 -shows -0.24444 0.016777 0.12173 -0.95246 0.04824 -0.87266 0.541 0.10345 -0.3015 -0.0094383 -hospital. -0.0014781 -0.058618 0.13286 -0.97958 0.23553 -0.93121 0.53765 0.15109 -0.27042 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0.47767 0.159 -0.11915 0.041442 -Whiting -0.25833 -0.023759 -0.047414 -0.88992 0.080393 -0.95249 0.46532 0.0084415 -0.28506 -0.07071 -convicted -0.087382 -0.14507 0.21741 -0.97476 0.12423 -0.92747 0.37899 0.18639 -0.23692 0.10655 -positions -0.45257 -0.27477 0.085941 -0.85921 0.18458 -0.953 0.46735 0.14453 -0.21068 0.086495 -ethnic -0.3314 -0.013393 0.139 -0.9376 0.002369 -0.81834 0.44175 -0.056331 -0.19796 0.11059 -About -0.1777 -0.16339 0.3381 -0.82766 0.019878 -0.88386 0.32885 0.3276 -0.32283 0.036568 -success -0.27618 -0.13046 0.098235 -0.9085 0.16715 -0.91378 0.51658 0.01549 -0.19144 0.0049447 -Matthew -0.40921 -0.082844 -0.0025165 -0.93614 0.19289 -0.94652 0.47355 -0.17839 -0.17524 -0.056866 -adding -0.23709 -0.1576 0.04681 -0.92208 0.30419 -1.0458 0.53208 0.030716 -0.21109 -0.13296 -afternoon, -0.54182 -0.15146 0.05249 -0.9633 0.31184 -0.9892 0.51719 -0.082694 -0.16372 -0.015537 -Several -0.13199 -0.30305 0.35307 -0.90982 -0.12317 -0.80691 0.29891 0.17346 -0.16832 0.24398 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-1.0165 -0.20907 -0.78149 0.34416 -0.081891 -0.18986 0.18107 -Adam -0.44946 -0.048925 0.12921 -0.91341 -0.258 -0.85795 0.404 0.10336 -0.19082 0.18 -crashed -0.28983 -0.19277 0.28008 -1.0251 0.36846 -1.0111 0.34961 0.023464 -0.10933 -0.062239 -natural -0.07196 -0.27232 0.38912 -0.98727 -0.1257 -0.81443 0.29644 0.32534 -0.29026 0.20611 -begin -0.67268 -0.064473 -0.036203 -1.0396 0.39318 -1.0634 0.52304 -0.39897 -0.10272 -0.20808 -Up -0.12987 -0.31596 0.37794 -0.92846 0.34058 -0.87118 0.55491 0.18954 -0.065122 0.20761 -celebrations -0.35697 -0.24729 0.14783 -0.91635 0.17408 -0.84252 0.47401 0.19342 -0.26351 0.14232 -reject -0.36215 -0.083687 0.019168 -0.88026 -0.34821 -0.80624 0.35637 0.060272 -0.22834 0.17106 -options -0.43006 -0.32979 0.099825 -0.8432 0.28397 -0.94099 0.45111 0.18693 -0.12492 0.077929 -single -0.36768 -0.0077289 0.12405 -0.89668 -0.13589 -0.91868 0.43771 0.023178 -0.19012 0.020062 -handling -0.19383 -0.086433 0.073078 -0.84088 -0.022429 -0.96951 0.52248 0.18913 -0.26988 -0.062818 -match. -0.10931 0.18295 -0.0038214 -0.83137 -0.24983 -0.95995 0.53487 0.20493 -0.49541 -0.1036 -summit -0.31419 0.0098797 0.035068 -0.96421 0.14451 -1.0258 0.50231 -0.018111 -0.23626 -0.029974 -talks. -0.35229 -0.15515 0.07993 -0.99309 0.11575 -0.89788 0.43005 0.018662 -0.17911 0.030351 -All -0.82992 -0.12558 0.23378 -0.8514 -0.078518 -0.93991 0.46519 -0.30953 0.013705 0.18509 -settlement -0.34912 -0.2379 0.10761 -0.96062 0.31773 -1.0578 0.52877 0.033297 -0.049265 -0.010945 -searching -0.24236 -0.17512 0.17781 -0.95078 -0.16358 -0.74868 0.38088 0.085915 -0.27398 0.19703 -dollars -0.35512 -0.096205 0.13233 -1.0636 0.25495 -0.91864 0.53955 -0.11415 -0.17314 -0.015355 -guess -0.27593 -0.11835 0.12093 -0.93565 -0.078513 -0.84341 0.43357 0.059761 -0.35287 0.10868 -Kieren -0.28648 -0.052006 0.019997 -0.93716 0.048119 -1.0201 0.5268 -0.082165 -0.20706 0.12905 -23 -0.21086 -0.057727 -0.088208 -0.96071 0.56566 -1.1161 0.58002 -0.23208 -0.13051 -0.046464 -Bonn -0.63015 -0.090793 -0.010465 -0.89356 0.37004 -1.1065 0.49491 -0.13038 -0.12322 -0.18684 -... -0.43566 -0.18061 0.06388 -0.86017 0.013587 -0.82546 0.47717 -0.017943 -0.095205 0.12177 -prepare -0.27096 -0.23845 0.17099 -0.88899 -0.17308 -0.79854 0.33358 0.18857 -0.27852 0.22166 -champion -0.37096 -0.075525 0.033513 -0.87721 0.032021 -1.0175 0.42515 0.086005 -0.22466 0.0095515 -Pollock -0.17072 0.075854 0.034762 -0.99117 0.025959 -0.84027 0.51192 0.054958 -0.34076 0.13271 -television. -0.44044 -0.21914 0.064641 -0.95829 0.15258 -0.9742 0.43971 -0.15748 -0.021531 0.11953 -begun -0.44643 -0.063631 0.062254 -0.89464 -0.26594 -0.77289 0.43425 -0.022602 -0.29919 0.059812 -coast -0.096154 -0.098287 0.25499 -0.86603 0.41534 -0.9861 0.60581 0.24712 -0.30546 -0.11746 -leave -0.48798 -0.14912 0.15468 -1.0082 0.28873 -0.94628 0.46997 -0.14209 0.015677 0.16177 -St -0.15052 -0.038151 0.074615 -0.94029 0.62285 -0.93937 0.64598 0.084345 -0.21029 -0.10022 -Sydney. 0.26468 0.080405 0.32812 -1.0438 0.026161 -0.72776 0.57149 0.22449 -0.45732 0.20119 -losing -0.30082 -0.14351 0.13768 -0.94164 -0.073193 -0.87297 0.40935 -0.035951 -0.20497 0.083264 -work. -0.33936 -0.20084 0.24815 -1.0307 0.14337 -0.84725 0.4851 0.038437 -0.18419 0.15475 -counts -0.18804 -0.080086 0.15436 -0.93251 0.17173 -0.92948 0.56095 0.42776 -0.34996 0.025217 -26-year-old -0.23247 -0.16833 0.10058 -0.95923 0.12781 -0.89816 0.45605 0.021855 -0.15746 0.094273 -suggested -0.22162 -0.0057453 0.067216 -1.0141 0.46976 -1.0677 0.51246 -0.14477 -0.10022 -0.052623 -projects -0.38763 -0.26072 0.012426 -1.01 0.17994 -0.91495 0.52402 -0.090687 -0.25331 0.078616 -understood -0.39868 -0.13931 0.061138 -0.91247 0.04974 -0.9366 0.44174 -0.038707 -0.21788 0.022325 -various -0.42015 -0.30838 0.073304 -0.85863 0.37029 -1.0839 0.46362 0.028696 -0.00035373 -0.010771 -debate -0.12791 -0.10166 0.26514 -0.92209 0.13826 -0.92997 0.45138 0.26024 -0.26033 0.064546 -Bill -0.39838 -0.033529 0.094462 -0.87625 -0.2477 -0.78666 0.481 0.13671 -0.29902 0.21293 -happens -0.21991 -0.11012 -0.0028922 -0.9438 0.12635 -0.90128 0.55503 0.0095414 -0.22928 0.17408 -Commissioner -0.49284 -0.16213 0.12342 -0.90232 0.031972 -0.97126 0.46812 -0.01738 -0.030934 0.15521 -Deputy -0.36846 -0.16084 0.078157 -0.82351 -0.050522 -0.92733 0.5193 0.07008 -0.23301 0.11732 -civilians -0.26415 -0.15822 0.068405 -0.98221 0.50329 -1.0065 0.52038 -0.038207 -0.18997 -0.052481 -threatening -0.25182 -0.045476 0.10861 -0.89748 0.2866 -1.0112 0.42588 -0.062959 -0.30542 -0.11057 -women's -0.19161 -0.071387 0.19565 -1.0621 0.22142 -1.0313 0.47957 0.15791 -0.22421 0.099062 -containment -0.24544 -0.31776 0.35774 -1.0603 0.27667 -0.94787 0.45011 0.25615 -0.13414 0.083895 -stand -0.32437 -0.29159 0.29872 -0.96611 0.10026 -0.85177 0.31083 0.053036 -0.15696 0.15546 -MacGill -0.31908 0.030595 0.093019 -0.94111 -0.093146 -0.86372 0.49992 0.057094 -0.24437 0.11818 -putting -0.38698 -0.14535 0.03712 -0.90819 0.081707 -0.9084 0.42326 -0.057029 -0.26089 -0.021234 -determine -0.4176 -0.097098 0.14469 -0.93155 0.11262 -1.0324 0.43527 0.012073 -0.099626 0.040556 -Israel. -0.47031 -0.063841 -0.37841 -0.97351 1.1357 -1.3919 0.65755 -0.52246 0.1681 -0.27245 -forecast -0.19474 -0.079622 0.15075 -1.103 0.64718 -1.1086 0.38859 0.13428 -0.16916 -0.21521 -During -0.34549 -0.037444 0.073162 -0.8123 -0.10379 -0.97766 0.4863 0.040554 -0.3512 -0.056979 -bureau -0.18654 -0.084556 0.22349 -0.94008 0.17144 -0.88225 0.50717 0.042983 -0.26211 0.16669 -findings -0.15385 0.024256 0.097106 -0.90701 -0.0062973 -0.87097 0.45966 0.092639 -0.31016 0.048742 -fear -0.13347 -0.033548 0.051886 -1.0621 0.69087 -1.067 0.49215 -0.082951 -0.19496 -0.24658 -data -0.34699 -0.17287 -0.01897 -0.93141 0.24327 -0.91246 0.46874 -0.18289 -0.18046 0.081533 -gone -0.26956 -0.29501 0.25143 -1.0867 0.19435 -0.93538 0.33428 0.0059832 -0.084104 0.060041 -record -0.3523 0.061825 0.089374 -0.8624 0.10975 -0.93357 0.47165 0.088856 -0.19873 -0.037258 -hoping -0.18615 -0.052057 0.080318 -0.91618 0.10148 -0.88347 0.48114 -0.0095034 -0.35875 -0.1065 -Israelis. -0.23908 -0.12511 -0.23259 -1.0042 0.8512 -1.1663 0.54631 -0.34526 -0.007403 -0.12883 -Hamid -0.30894 -0.25919 0.073896 -0.86696 -0.060983 -0.83277 0.46301 0.015398 -0.12849 0.15373 -present -0.28584 -0.21305 0.1917 -0.82763 -0.2293 -0.86695 0.41269 0.28361 -0.18485 0.14715 -live -0.36521 -0.27784 0.21715 -1.0707 0.52157 -1.1198 0.27499 -0.065779 0.10911 -0.14034 -ahead. -0.18178 -0.16656 0.22029 -0.91903 0.26257 -0.96658 0.42367 0.15003 -0.19482 0.13553 -warning -0.057134 -0.10892 0.21894 -0.93471 0.075207 -0.93845 0.32891 0.098712 -0.29838 -0.10296 -trapped -0.39018 -0.17152 0.16364 -0.90232 0.39176 -1.0995 0.41738 -0.031247 -0.14006 -0.14978 -markets -0.22304 0.049703 0.023357 -0.89652 0.028235 -0.93915 0.54958 0.10373 -0.31918 -0.015176 -Sergeant -0.22138 -0.073868 0.18847 -0.89862 -0.12118 -0.88672 0.44595 0.059898 -0.20127 0.20083 -Seven -0.15834 0.012167 0.075471 -0.9344 -0.0060505 -0.87636 0.57467 -0.091161 -0.18515 0.16282 -firm -0.20924 0.13692 0.229 -1.0004 0.087825 -0.74557 0.46068 0.063433 -0.19736 -0.013484 -welcomed -0.33084 -0.13075 -0.031394 -0.933 0.12591 -0.93544 0.43404 -0.0071708 -0.19188 0.02752 -responding -0.27598 -0.17165 0.25794 -0.96352 -0.021708 -0.90139 0.36233 0.13162 -0.20719 0.013575 -law -0.23204 0.098585 0.084543 -0.87951 0.045764 -1.0408 0.39644 0.083872 -0.19391 0.06397 -deputy -0.35117 -0.094578 0.069262 -0.8022 0.21323 -1.0385 0.49627 0.14174 -0.18405 -0.036922 -unidentified -0.21788 -0.19765 0.16739 -0.96515 0.26464 -1.0681 0.45954 0.19657 -0.10865 -0.040348 -clashes -0.18525 -0.090192 0.13899 -0.92914 0.19958 -0.99479 0.48018 0.0076089 -0.22087 0.057853 -ago, -0.12196 -0.25092 0.21986 -0.78537 -0.43743 -0.83485 0.35358 0.5775 -0.36967 0.27372 -replied: -0.53654 -0.30794 0.0668 -0.95327 -0.32244 -0.86974 0.32233 0.0035099 -0.12836 0.27396 -path -0.29637 -0.0050163 -0.09227 -0.91761 0.61522 -1.2084 0.51978 -0.070516 -0.022066 -0.26732 -search -0.33437 -0.14509 0.16727 -0.8863 0.019863 -0.77068 0.47079 0.019677 -0.24613 0.18844 -hundred -0.025627 -0.11448 0.18116 -0.96779 0.2532 -0.93224 0.3929 0.12679 -0.19685 -0.13179 -state. -0.18528 -0.23642 0.26504 -1.0479 0.57506 -1.0035 0.41344 -0.17807 -0.09178 -0.023322 -efforts -0.2879 -0.13298 0.14961 -0.93882 0.13162 -0.93926 0.49649 0.17908 -0.18039 0.022261 -tree -0.13421 0.049938 0.039293 -0.85099 -0.054489 -0.95255 0.48989 0.20728 -0.25372 0.081726 -telephone -0.31696 -0.22565 0.13317 -1.0219 0.2304 -1.0449 0.39416 -0.015374 -0.058222 0.064146 -problem -0.23808 -0.055263 0.21232 -0.94406 -0.52183 -0.69284 0.40925 0.16283 -0.35028 0.39899 -approached -0.3755 -0.24085 0.045111 -0.96186 0.31842 -0.96877 0.4262 -0.091481 -0.06434 0.076188 -chairman -0.24927 -0.10477 0.17401 -0.90386 0.013637 -0.93125 0.41858 0.049651 -0.20749 0.15118 -Afroz -0.3492 -0.11356 0.046444 -0.96179 0.49956 -1.1739 0.50381 -0.029897 -0.15488 -0.24651 -Monday, -0.18335 0.075194 0.19071 -0.85914 -0.074304 -0.8325 0.45894 0.23434 -0.32902 0.11567 -advance -0.35487 -0.13718 0.083065 -1.0344 0.076132 -0.86051 0.39686 0.031053 -0.1538 0.12614 diff --git a/gensim/test/test_data/non_ascii_fasttext.vec b/gensim/test/test_data/non_ascii_fasttext.vec deleted file mode 100644 index ea179a2ff5..0000000000 --- a/gensim/test/test_data/non_ascii_fasttext.vec +++ /dev/null @@ -1,172 +0,0 @@ -171 2 -ji -1.5308 2.0551 -který -0.99211 1.4997 -jen -1.1228 1.3667 -podle -1.1469 1.4473 -zde -1.0191 1.4011 -už -0.91921 1.3531 -být -1.0086 1.4582 -více -1.1058 1.3376 -bude -1.2032 1.7383 -již -1.3136 1.4792 -než -1.0664 1.6635 -vás -1.1113 1.5703 -by -1.1698 1.966 -které -1.1295 1.6275 -co -0.93518 1.1776 -nebo -1.0791 1.5071 -ten -1.1881 1.415 -tak -1.4548 1.8457 -má -1.0658 1.5255 -při -1.3464 1.6107 -od -0.79486 1.5585 -po -1.2758 1.9186 -tipy -0.69335 1.0799 -ještě -0.87116 1.1618 -až -1.2688 1.6518 -bez -0.99627 1.423 -také -1.141 1.4808 -pouze -0.94181 1.4076 -první -1.1166 1.5035 -vaše -0.9672 1.4975 -která -1.1102 1.5806 -nás -1.1328 1.5253 -nový -0.85553 1.1462 -jsou -1.0792 1.8008 -pokud -1.0427 1.3178 -může -1.1269 1.419 -strana -0.84973 1.1957 -jeho -1.1644 1.5879 -své -1.0546 1.6185 -jiné -0.95046 1.2816 -zprávy -0.88762 1.3374 -nové -1.0588 1.619 -není -1.0321 1.5566 -tomu -1.0753 1.5211 -ona -1.21 1.6992 -ono -1.0733 1.6574 -oni -1.1153 1.643 -ony -1.0926 1.5244 -my -0.92689 1.6378 -vy -1.3708 1.8 -jí -1.205 1.6606 -mě -0.96436 1.4713 -mne -1.0956 1.6333 -jemu -1.1181 1.4661 -on -1.0062 1.4124 -těm -0.90732 1.2586 -těmu -0.90621 1.4096 -němu -1.0823 1.4396 -němuž -1.0786 1.3892 -jehož -1.1649 1.4418 -jíž -1.0574 1.6338 -jelikož -1.0449 1.3625 -jež -1.2657 1.7032 -jakož -1.3373 1.6112 -načež -1.0127 1.3696 -ze -1.1784 1.7095 -jak -1.2097 1.5224 -další -0.7288 0.96256 -ale -1.1029 1.4153 -si -1.1097 1.5884 -se -1.2981 1.7707 -ve -1.256 1.7985 -to -1.6894 2.2424 -jako -1.2333 1.5942 -za -1.0376 1.6162 -zpět -0.83657 1.354 -jejich -0.97548 1.4219 -do -0.93685 1.4001 -pro -1.4367 1.9498 -je -1.9446 2.5147 -na -1.5543 2.2901 -atd -0.98175 1.3697 -atp -0.83266 1.1085 -jakmile -1.0954 1.2764 -přičemž -1.0533 1.4279 -já -1.1496 1.4432 -nám -1.0246 1.6043 -jej -1.203 1.6252 -zda -0.93651 1.2363 -proč -0.90395 1.3144 -máte -0.99962 1.4802 -tato -1.3248 1.5575 -kam -0.63468 1.246 -tohoto -0.9737 1.3422 -kdo -0.88982 1.4152 -kteří -0.92973 1.4696 -mi -1.343 1.7217 -tyto -0.99375 1.3067 -tom -1.1636 1.608 -tomuto -1.0103 1.3488 -mít -1.1538 1.6326 -nic -0.76497 1.0685 -proto -1.1781 1.6367 -kterou -1.0561 1.563 -byla -0.9338 1.7033 -toho -1.1263 1.5702 -protože -1.1777 1.4984 -asi -1.0555 1.4401 -budeš -0.98208 1.5432 -s -1.3733 1.6447 -k -1.0223 1.6019 -o -1.4531 1.879 -i -1.0985 1.2956 -u -0.91038 1.6173 -v -1.2536 1.5998 -z -0.96962 1.7437 -dnes -0.92891 1.2478 -cz -0.84461 1.0881 -tímto -0.98475 1.3061 -ho -0.74774 1.4925 -budem -1.0178 1.4333 -byli -0.90776 1.4799 -jseš -1.0297 1.4975 -můj -0.891 1.2674 -svým -1.0586 1.5377 -ta -1.4932 2.0156 -tomto -1.1626 1.5135 -tohle -1.2215 1.6529 -tuto -1.0516 1.3583 -neg -0.94527 1.5529 -pod -1.0601 1.578 -téma -0.93273 1.3456 -mezi -0.96807 1.3465 -přes -1.1927 1.5099 -ty -1.3733 1.7374 -pak -1.0392 1.5592 -vám -0.89801 1.3586 -ani -1.2113 1.5634 -když -1.0124 1.5112 -však -0.75634 1.1299 -či -0.79489 1.2817 -jsem -1.0435 1.4903 -tento -1.0861 1.5053 -článku -0.93302 1.3758 -články -0.98897 1.4387 -aby -1.0874 1.6114 -jsme -1.0547 1.6846 -před -1.0538 1.5186 -pta -1.062 1.6063 -a -1.3116 2.0391 -aj -1.1578 1.5193 -naši -1.2075 1.3714 -napište -1.0436 1.4646 -re -1.3115 1.5453 -což -1.1731 1.3545 -tím -1.0296 1.5885 -takže -1.1014 1.3574 -svých -0.82606 1.1187 -její -1.1029 1.3696 -svými -1.1052 1.4953 -jste -1.1003 1.7465 -byl -0.89449 1.4131 -tu -1.1255 1.5505 -tedy -1.1693 1.6446 -teto -1.2134 1.546 -bylo -0.86091 1.3805 -kde -1.3468 1.7507 -ke -1.0699 1.6688 -pravé -0.9391 1.5172 -nad -1.3404 1.7661 -nejsou -0.85023 1.5033 diff --git a/gensim/test/test_fasttext_wrapper.py b/gensim/test/test_fasttext_wrapper.py index b21d3d5a1a..bf6ac7db98 100644 --- a/gensim/test/test_fasttext_wrapper.py +++ b/gensim/test/test_fasttext_wrapper.py @@ -64,7 +64,6 @@ def testTraining(self): self.model_sanity(trained_model) # Tests temporary training files deleted - self.assertFalse(os.path.exists('%s.vec' % testfile())) self.assertFalse(os.path.exists('%s.bin' % testfile())) def testMinCount(self): @@ -115,7 +114,7 @@ def testNormalizedVectorsNotSaved(self): self.assertTrue(loaded_kv.syn0_all_norm is None) def testLoadFastTextFormat(self): - """Test model successfully loaded from fastText .vec and .bin files""" + """Test model successfully loaded from fastText .bin file""" try: model = fasttext.FastText.load_fasttext_format(self.test_model_file) except Exception as exc: @@ -166,7 +165,7 @@ def testLoadFastTextFormat(self): self.model_sanity(model) def testLoadFastTextNewFormat(self): - """ Test model successfully loaded from fastText (new format) .vec and .bin files """ + """ Test model successfully loaded from fastText (new format) .bin file """ try: new_model = fasttext.FastText.load_fasttext_format(self.test_new_model_file) except Exception as exc: @@ -216,6 +215,11 @@ def testLoadFastTextNewFormat(self): self.assertEquals(new_model.wv.min_n, 3) self.model_sanity(new_model) + def testLoadFileName(self): + """ Test model accepts input as both `/path/to/model` or `/path/to/model.bin` """ + self.assertTrue(fasttext.FastText.load_fasttext_format(datapath('lee_fasttext_new'))) + self.assertTrue(fasttext.FastText.load_fasttext_format(datapath('lee_fasttext_new.bin'))) + def testLoadModelWithNonAsciiVocab(self): """Test loading model with non-ascii words in vocab""" model = fasttext.FastText.load_fasttext_format(datapath('non_ascii_fasttext'))