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fix comments
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@ -682,23 +682,23 @@ def minibatch_by_words(examples, size, count_words=len, tolerance=0.2, discard_o
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if not discard_oversize:
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yield [example]
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# add the example to the current batch if it still fits and there's no overflow yet
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# add the example to the current batch if there's no overflow yet and it still fits
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elif overflow_size == 0 and (current_size + n_words) < target_size:
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batch.append(example)
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current_size += n_words
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# add the example to the overflow buffer if it fits in the tolerance margins
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# add the example to the overflow buffer if it fits in the tolerance margin
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elif (current_size + overflow_size + n_words) < (target_size + tol_size):
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overflow.append(example)
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overflow_size += n_words
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# yield the previous batch and start a new one
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# yield the previous batch and start a new one. The new one gets the overflow examples.
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else:
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yield batch
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target_size = next(size_)
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tol_size = target_size * tolerance
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# In theory it may happen that the current example now exceeds the new target_size,
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# but that seems like an unimportant edge case if batch sizes are variable anyway?
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# In theory it may happen that the current example + overflow examples now exceed the new
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# target_size, but that seems like an unimportant edge case if batch sizes are variable?
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batch = overflow
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batch.append(example)
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current_size = overflow_size + n_words
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