old_contents: # coding=utf-8
  # Licensed Materials - Property of IBM
  # Copyright IBM Corp. 2017
  """
  Python APIs for use with IBM® Streaming Analytics service on
  IBM Bluemix® cloud platform and on-premises IBM Streams.
  
  Python Application API for Streams
  ----------------------------------
  Module that allows the definition and execution of streaming
  applications implemented in Python.
  Applications use Python code to process tuples and tuples are Python objects.
  
  See :py:mod:`streamsx.topology`
  
  Python functions as SPL operators
  ---------------------------------
  A Python function or class can be simply turned into an SPL primitive operator
  to allow tuple processing using Python in an SPL application.
  
  SPL (Streams Processing Language) is a domain specific language for streaming
  analytics supported by Streams.
  
  See :py:mod:`streamsx.spl.spl`
  
  Streams Python REST API
  -----------------------
  Module that allows interaction with an running Streams instance or
  service through HTTPS REST APIs.
  
  See :py:mod:`streamsx.rest`
  
  Streams Python Setup
  --------------------
  
  Streaming Analytics service
  +++++++++++++++++++++++++++
  
  The service instance has Anaconda 4.1 installed with Python 3.5 as the
  runtime environment and has **PYTHONHOME** application environment variable
  pre-configured.
  
  Any streaming applications using Python must use Python 3.5 when
  submitted to the service instance.
  
  IBM Streams on-premises
  +++++++++++++++++++++++
  
  For a distributed cluster running Streams Python 2.7 or Python 3.5 may
  be used.
  
  Anaconda may be used as the Python runtime, Anaconda has the advantage of
  being pre-built and including a number of standard packages. Ananconda
  installs may be downloaded at: https://www.continuum.io/downloads .
  
  .. note::
      An Anaconda distribution for Python 2.7 or 3.5 must be used.
  
  If building Python from source then it must be built to support embedding
  of the runtime with shared libraries (``--enabled-shared`` option to `configure`).
  
  The Streams application environment variable **PYTHONHOME** must be set
  to the Python install path.
  
  This is set using `streamtool` as::
  
      streamtool setproperty --application-ev PYTHONHOME=path_to_python_install
  
  The application environment variable may also be set using the Streams
  console. The `Instance Management` view has an
  `Application Environment Variables` section. Expanding the details
  for that section allows modification of the set of environment
  variables available to Streams applications.
  
  The Python install path must be accessible on every application host
  that will execute Python code within a Streams application.
  
  """
  
  from pkgutil import extend_path
  __path__ = extend_path(__path__, __name__)
  
new_contents: # coding=utf-8
  # Licensed Materials - Property of IBM
  # Copyright IBM Corp. 2017
  """
  Python APIs for use with IBM® Streaming Analytics service on
  IBM Bluemix® cloud platform and on-premises IBM Streams.
  
  Python Application API for Streams
  ----------------------------------
  Module that allows the definition and execution of streaming
  applications implemented in Python.
  Applications use Python code to process tuples and tuples are Python objects.
  
  SPL operators may also be invoked from Python applications to allow
  use of existing IBM Streams toolkits.
  
  See :py:mod:`streamsx.topology`
  
  Python functions as SPL operators
  ---------------------------------
  A Python function or class can be simply turned into an SPL primitive operator
  to allow tuple processing using Python in an SPL application.
  
  SPL (Streams Processing Language) is a domain specific language for streaming
  analytics supported by Streams.
  
  See :py:mod:`streamsx.spl.spl`
  
  Streams Python REST API
  -----------------------
  Module that allows interaction with an running Streams instance or
  service through HTTPS REST APIs.
  
  See :py:mod:`streamsx.rest`
  
  Streams Python Setup
  --------------------
  
  Streaming Analytics service
  +++++++++++++++++++++++++++
  
  The service instance has Anaconda 4.1 installed with Python 3.5 as the
  runtime environment and has **PYTHONHOME** application environment variable
  pre-configured.
  
  Any streaming applications using Python must use Python 3.5 when
  submitted to the service instance.
  
  IBM Streams on-premises
  +++++++++++++++++++++++
  
  For a distributed cluster running Streams Python 2.7 or Python 3.5 may
  be used.
  
  Anaconda may be used as the Python runtime, Anaconda has the advantage of
  being pre-built and including a number of standard packages. Ananconda
  installs may be downloaded at: https://www.continuum.io/downloads .
  
  .. note::
      An Anaconda distribution for Python 2.7 or 3.5 must be used.
  
  If building Python from source then it must be built to support embedding
  of the runtime with shared libraries (``--enabled-shared`` option to `configure`).
  
  The Streams application environment variable **PYTHONHOME** must be set
  to the Python install path.
  
  This is set using `streamtool` as::
  
      streamtool setproperty --application-ev PYTHONHOME=path_to_python_install
  
  The application environment variable may also be set using the Streams
  console. The `Instance Management` view has an
  `Application Environment Variables` section. Expanding the details
  for that section allows modification of the set of environment
  variables available to Streams applications.
  
  The Python install path must be accessible on every application host
  that will execute Python code within a Streams application.
  
  """
  
  from pkgutil import extend_path
  __path__ = extend_path(__path__, __name__)
  
subject: Fix #992 - Add info about invoking SPL operators