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# Change Log
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+ ## 1.3.1 - 2018-06-04
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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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+
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## 1.3.0 - 2017-12-12
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- Add new summary statistics for new version of CAS
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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
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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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+
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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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+
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+
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v1.3.0 (December 12, 2017)
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==========================
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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' ,
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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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