version bump to release 1.0.0a11

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 1.0.0a7
+current_version = 1.0.0a11
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)((?P<release>.*))(?P<release_version>\d+)
 serialize = 
 	{major}.{minor}.{patch}{release}{release_version}

README.rst

@@ -13,12 +13,12 @@
 .. image:: https://img.shields.io/pypi/pyversions/mssql-scripter.svg
     :target: https://travis-ci.org/Microsoft/sql-xplat-cli
 
-mssql-scripter 1.0.0a7
+mssql-scripter 1.0.0a11
 ============================
 We’re excited to introduce mssql-scripter, a multi-platform command line
 experience for scripting SQL Server databases.
 
-mssql-scripter is the multiplatform command line equivalent of the widely used Generate Scripts Wizard experience in SSMS. You can use mssql-scripter on Linux, macOS, and Windows to generate data definition language (DDL) and data manipulation language (DML) T-SQL scripts for database objects in SQL Server running anywhere, Azure SQL Database, and Azure SQL Data Warehouse. You can save the generated T-SQL script to a .sql file or pipe it to standard *nix utilities (for example, sed, awk, grep) for further transformations. You can edit the generated script or check it into source control and subsequently execute the script in your existing SQL database deployment processes and DevOps pipelines with standard multiplatform SQL command line tools such as sqlcmd.
+mssql-scripter is the multiplatform command line equivalent of the widely used Generate Scripts Wizard experience in SSMS. You can use mssql-scripter on Linux, macOS, and Windows to generate data definition language (DDL) and data manipulation language (DML) T-SQL scripts for database objects in SQL Server running anywhere, Azure SQL Database, and Azure SQL Data Warehouse. You can save the generated T-SQL script to a .sql file or pipe it to standard nix utilities (for example, sed, awk, grep) for further transformations. You can edit the generated script or check it into source control and subsequently execute the script in your existing SQL database deployment processes and DevOps pipelines with standard multiplatform SQL command line tools such as sqlcmd.
  
 mssql-scripter is built using Python and incorporates the usability principles of the new Azure CLI 2.0 tools. 
 

mssqlscripter/__init__.py

@@ -3,4 +3,4 @@
 # Licensed under the MIT License. See License.txt in the project root for license information.
 # --------------------------------------------------------------------------------------------
 
-__version__ = '1.0.0a7'
+__version__ = '1.0.0a11'

mssqltoolsservice/README.rst

@@ -1,4 +1,4 @@
-mssqltoolsservice 1.0.0a7
+mssqltoolsservice 1.0.0a11
 ===============================
 
 The platform specific mssqltoolsservice package provides external

mssqltoolsservice/mssqltoolsservice/__init__.py

@@ -9,7 +9,7 @@
 import os
 import platform
 
-__version__ = '1.0.0a7'
+__version__ = '1.0.0a11'
 
 
 def get_executable_path():

mssqltoolsservice/setup.py

@@ -12,7 +12,7 @@ import sys
 
 # This version number is in place in two places and must be in sync with
 # mssqlscripter's version in setup.py.
-MSSQLTOOLSSERVICE_VERSION = '1.0.0a7'
+MSSQLTOOLSSERVICE_VERSION = '1.0.0a11'
 
 # If we have source, validate version numbers match to prevent
 # uploading releases with mismatched versions.

setup.py

@@ -14,7 +14,7 @@ from setuptools import setup
 
 # This version number is in place in two places and must be in sync with
 # mssqltoolsservice's version in setup.py.
-MSSQLSCRIPTER_VERSION = '1.0.0a7'
+MSSQLSCRIPTER_VERSION = '1.0.0a11'
 
 # If we have the source, validate our setup version matches source version.
 # This will prevent uploading releases with mismatched versions. This will
@@ -248,6 +248,7 @@ setup(
     author_email='sqlxplatclieng@microsoft.com',
     url='https://github.com/Microsoft/sql-xplat-cli/',
     zip_safe=True,
+    long_description=open('README.rst').read(),
     classifiers=CLASSIFIERS,
     include_package_data=True,
     scripts=[