Python-crfsuite

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* fix packaging issues with 0.8 release.

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* :class:`~ItemSequence` wrapper is added;
* tox tests are fixed.

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* More data formats for ``xseq``: ``{"prefix": {feature_dict}}`` and
``{"key": set(["key1",...])}`` feature dicts are now accepted by
:class:`pycrfsuite.Trainer` and :class:`pycrfsuite.Tagger`;
* feature separator changed from "=" to ":" (it looks better in case of
multi-level features);
* small doc and README fixes.

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* Switch to setuptools;
* wheels are uploaded to pypi for faster installation.

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* More data formats for ``xseq``: ``{"key": "value"}`` and
``{"key": bool_value}`` feature dicts are now accepted by
:class:`pycrfsuite.Trainer` and :class:`pycrfsuite.Tagger`.

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* Exceptions in logging message handlers are now propagated and raised. This
allows, for example, to stop training earlier by pressing Ctrl-C.

* It is now possible to customize :class:`pycrfsuite.Trainer` logging
more easily by overriding the following methods:
:meth:`pycrfsuite.Trainer.on_start`,
:meth:`pycrfsuite.Trainer.on_featgen_progress`,
:meth:`pycrfsuite.Trainer.on_featgen_end`,
:meth:`pycrfsuite.Trainer.on_prepared`,
:meth:`pycrfsuite.Trainer.on_prepare_error`,
:meth:`pycrfsuite.Trainer.on_iteration`,
:meth:`pycrfsuite.Trainer.on_optimization_end`
:meth:`pycrfsuite.Trainer.on_end`. The feature is implemented by parsing
CRFsuite log. There is :class:`pycrfsuite.BaseTrainer` that is not
doing this.