old_contents: """
  Test-Driven Data Analysis (Python TDDA library)
  ===============================================
  
  The tdda package provides Python support for test-driven data analysis.
  
  The tdda.referencetest library is used to support the creation of
  reference tests, based on either unittest or pytest.
  
  For usage details:
  
      >>> from tdda import referencetest
      >>> help(referencetest)
  
  
  The tdda.constraints library is used to 'discover' constraints
  from a (Pandas) DataFrame, write them out as JSON, and to verify that
  datasets meet the constraints in the constraints file.
  
  For usage details:
  
      >>> from tdda import constraints
      >>> help(constraints)
  
  
  The tdda package also includes rexpy, a tool for automatically
  inferring regular expressions from a single field of data examples.
  
  For usage details:
  
      >>> from tdda import rexpy
      >>> help(rexpy)
  
  """
  __version__ = '0.5.03'
  
new_contents: """
  Test-Driven Data Analysis (Python TDDA library)
  ===============================================
  
  The tdda package provides Python support for test-driven data analysis.
  
  The tdda.referencetest library is used to support the creation of
  reference tests, based on either unittest or pytest.
  
  For usage details:
  
      >>> from tdda import referencetest
      >>> help(referencetest)
  
  
  The tdda.constraints library is used to 'discover' constraints
  from a (Pandas) DataFrame, write them out as JSON, and to verify that
  datasets meet the constraints in the constraints file.
  
  For usage details:
  
      >>> from tdda import constraints
      >>> help(constraints)
  
  
  The tdda package also includes rexpy, a tool for automatically
  inferring regular expressions from a single field of data examples.
  
  For usage details:
  
      >>> from tdda import rexpy
      >>> help(rexpy)
  
  """
  __version__ = '0.5.04'
  
subject: Bump version number.