python-tablib-0.11.5-bp150.1.3

- update to 0.11.5:
  - Use ``yaml.safe_load`` for importing yaml.
  - Use built-in `json` package if available
  - Support Python 3.5+ in classifiers
  - Fixed textual representation for Dataset with no headers
  - Handle decimal types
  - Release fix.
  - Fix export only formats.
  - Fix for xlsx output.
  - Fixed packaging error on Python 3.
  - Added LaTeX table export format (``Dataset.latex``).
  - Support for dBase (DBF) files (``Dataset.dbf``).
  - New import/export interface (``Dataset.export()``, ``Dataset.load()``).
  - CSV custom delimiter support (``Dataset.export('csv', delimiter='$')``).
  - Adding ability to remove duplicates to all rows in a dataset (``Dataset.remove_duplicates()``).
  - Added a mechanism to avoid ``datetime.datetime`` issues when serializing data.
  - New ``detect_format()`` function (mostly for internal use).
  - Update the vendored unicodecsv to fix ``None`` handling.
  - Only freeze the headers row, not the headers columns (xls).
  - ``detect()`` function removed.
  - Fix XLSX import.
  - Bugfix for ``Dataset.transpose().transpose()``.
- convert to singlespec

- fix RHEL build by ignoring bytecompile-errors

- update to version 0.10.0:
  * Unicode Column Headers
  * ALL the bugfixes!
- add fdupes as BuildRequires and call it after install
- remove shebang in every python files
- remove useless CFLAGS declaration
- run the tests during build with test_tablib.py

- Require python-setuptools instead of distribute (upstreams merged)

- Initial version