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A different plan for the top-level word_frequency function.
When, before, I was importing wordfreq.query at the top level, this created a dependency loop when installing wordfreq. The new top-level __init__.py provides just a `word_frequency` function, which imports the real function as needed and calls it. This should avoid the dependency loop, at the cost of making `wordfreq.word_frequency` slightly less efficient than `wordfreq.query.word_frequency`.
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from __future__ import unicode_literals
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from __future__ import unicode_literals
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from nose.tools import eq_, assert_almost_equal, assert_greater
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from nose.tools import eq_, assert_almost_equal, assert_greater
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from wordfreq.query import (word_frequency, average_frequency, wordlist_size,
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from wordfreq import word_frequency
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from wordfreq.query import (average_frequency, wordlist_size,
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wordlist_info)
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wordlist_info)
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# Import some methods from wordfreq.query at the top level.
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# Make wordfreq.query available at the top level when needed.
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from wordfreq.query import word_frequency, iter_wordlist, random_words
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def word_frequency(word, lang, wordlist='multi', offset=0.):
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"""
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Get the frequency of `word` in the language with code `lang`, from the
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specified `wordlist`.
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The offset gets added to all values, to monotonically account for the
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fact that we have not observed all possible words.
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This is a wrapper for the real word_frequency function, so that it can
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be imported at the top level instead of from `wordfreq.query`.
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"""
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from wordfreq.query import word_frequency as _real_word_frequency
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return _real_word_frequency(word, lang, wordlist=wordlist, offset=offset)
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