old_contents: '''
  This module is used to initialize a global Java VM instance, to run the python
  wrapper for the stallone library
  Created on 15.10.2013
  
  @author: marscher
  '''
  from log import log as _log
  import numpy as _np
  
  """is the stallone python binding available?"""
  stallone_available = None
  
  try:
      _log.debug('try to initialize stallone module')
      from pystallone import *
      from pystallone.ArrayWrapper import ArrayWrapper as ArrayWrapper
      jenv = initVM(initialheap='32m', maxheap='512m')
      stallone_available = True
      _log.info('stallone initialized successfully.')
  except ImportError:
      _log.error('stallone could not be found.')
      stallone_available = False
  except ValueError as ve:
      stallone_available = False
      _log.error('java vm initialization for stallone went wrong: ', ve)
  except:
      _log.error('unknown exception occured.')
  
  
  def ndarray_to_stallone_array(ndarray):
      if not stallone_available:
          raise RuntimeError('stallone not available')
      
      shape = ndarray.shape
      dtype = ndarray.dtype
      factory = None
      cast_func = None
      
      if dtype == _np.float32 or dtype == _np.float64:
          factory = API.doublesNew
          cast_func = float
      elif dtype == _np.int32 or dtype == _np.int64:
          factory = API.intsNew
          cast_func = int
      else:
          raise TypeError('unsupported datatype: ', dtype)
      
      if len(shape) == 1:
          n = shape[0]
          v = factory.array(n)
          for i in xrange(n):
              v.set(i, cast_func(ndarray[i]))
          return v
      elif len(shape) == 2:
          n = shape[0]
          m = shape[1]
          try:
              A = factory.matrix(n, m)
          except AttributeError:
              A = factory.table(n, m)
          
          for i in xrange(n):
              for j in xrange(m):
                  val = ndarray[i, j]
                  A.set(i, j, cast_func(val))
          return A
      else:
          raise ValueError('unsupported shape: ', shape)
new_contents: '''
  This module is used to initialize a global Java VM instance, to run the python
  wrapper for the stallone library
  Created on 15.10.2013
  
  @author: marscher
  '''
  from log import log as _log
  import numpy as _np
  
  """is the stallone python binding available?"""
  stallone_available = None
  
  try:
      _log.debug('try to initialize stallone module')
      from pystallone import *
      from pystallone.ArrayWrapper import ArrayWrapper as ArrayWrapper
      jenv = initVM(initialheap='32m', maxheap='512m')
      stallone_available = True
      _log.info('stallone initialized successfully.')
  except ImportError:
      _log.error('stallone could not be found.')
      stallone_available = False
  except ValueError as ve:
      stallone_available = False
      _log.error('java vm initialization for stallone went wrong: %s' % ve)
  except:
      _log.error('unknown exception occured.')
  
  
  def ndarray_to_stallone_array(ndarray):
      if not stallone_available:
          raise RuntimeError('stallone not available')
      
      shape = ndarray.shape
      dtype = ndarray.dtype
      factory = None
      cast_func = None
      
      if dtype == _np.float32 or dtype == _np.float64:
          factory = API.doublesNew
          cast_func = float
      elif dtype == _np.int32 or dtype == _np.int64:
          factory = API.intsNew
          cast_func = int
      else:
          raise TypeError('unsupported datatype: ', dtype)
      
      if len(shape) == 1:
          n = shape[0]
          v = factory.array(n)
          for i in xrange(n):
              v.set(i, cast_func(ndarray[i]))
          return v
      elif len(shape) == 2:
          n = shape[0]
          m = shape[1]
          try:
              A = factory.matrix(n, m)
          except AttributeError:
              A = factory.table(n, m)
          
          for i in xrange(n):
              for j in xrange(m):
                  val = ndarray[i, j]
                  A.set(i, j, cast_func(val))
          return A
      else:
          raise ValueError('unsupported shape: ', shape)
subject: fix string format