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Kevin D Smith
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Prepare for v1.3.1 release
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CHANGELOG.md

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# Change Log
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## 1.3.1 - 2018-06-04
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- Increase compatibility with older and newer versions of pandas
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- Automatically convert columns with SAS date/time formats to Python date/time objects
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- Improve `CASTable.merge` algorithm
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- Fix autocompletion on `CAS` and `CASTable` objects
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## 1.3.0 - 2017-12-12
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- Add new summary statistics for new version of CAS

doc/source/install.rst

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The SWAT package is installed using the ``pip`` command. The requirements
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for using the binary protocol of CAS (recommended) are as follows.
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* **64-bit** Python 2.7 or 3.4-3.6 on Linux or Windows
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* **64-bit** Python 2.7 or 3.4-3.6 on Linux
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For Linux, see additional shared library notes below.
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See additional shared library notes below.
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The binary protocol requires pre-compiled components found in the ``pip``
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installer only. These pieces are not available as source code and

doc/source/whatsnew.rst

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This document outlines features and improvements from each release.
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v1.3.1 (June 4, 2018)
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=====================
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- Increase compatibility with older and newer versions of pandas
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- Automatically convert columns with SAS date/time formats to Python date/time objects
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- Improve `CASTable.merge` algorithm
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- Fix autocompletion on `CAS` and `CASTable` objects
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v1.3.0 (December 12, 2017)
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==========================
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setup.py

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setup(
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zip_safe=False,
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name='swat',
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version='1.3.1-dev',
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version='1.3.1',
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description='SAS Scripting Wrapper for Analytics Transfer (SWAT)',
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long_description=README,
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author='SAS',

swat/__init__.py

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# SAS Formatter
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from .formatter import SASFormatter # noqa: E402
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__version__ = '1.3.1-dev'
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__version__ = '1.3.1'

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