Source code for ccpnmodel.ccpncore.memops.baseDataTypes.Any

"""Module Documentation here

"""
#=========================================================================================
# Licence, Reference and Credits
#=========================================================================================
__copyright__ = "Copyright (C) CCPN project (http://www.ccpn.ac.uk) 2014 - 2017"
__credits__ = ("Wayne Boucher, Ed Brooksbank, Rasmus H Fogh, Luca Mureddu, Timothy J Ragan & Geerten W Vuister")
__licence__ = ("CCPN licence. See http://www.ccpn.ac.uk/v3-software/downloads/license",
               "or ccpnmodel.ccpncore.memops.Credits.CcpnLicense for licence text")
__reference__ = ("For publications, please use reference from http://www.ccpn.ac.uk/v3-software/downloads/license",
               "or ccpnmodel.ccpncore.memops.Credits.CcpNmrReference")

#=========================================================================================
# Last code modification
#=========================================================================================
__modifiedBy__ = "$modifiedBy: CCPN $"
__dateModified__ = "$dateModified: 2017-07-07 16:33:16 +0100 (Fri, July 07, 2017) $"
__version__ = "$Revision: 3.0.0 $"
#=========================================================================================
# Created
#=========================================================================================

__author__ = "$Author: CCPN $"
__date__ = "$Date: 2017-04-07 10:28:48 +0000 (Fri, April 07, 2017) $"
#=========================================================================================
# Start of code
#=========================================================================================
"""Basic data type Float (4-byte float)

Correct procedure is that values of type in compatibleTypes must be 
accepted as input, and coerced to PythonType. isValid should be applied only
after coercion. Note that the coercion may well cause an error
(e.g. out-of-range)


======================COPYRIGHT/LICENSE START==========================

Float.py: Basic data type implementation for CCPN Python data model API

Copyright (C) 2005 Rasmus Fogh (CCPN Project)

=======================================================================

This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
 
A copy of this license can be found in ../../../../license/LGPL.license
 
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
 
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA


======================COPYRIGHT/LICENSE END============================

for further information, please contact :

- CCPN website (http://www.ccpn.ac.uk/)

- email: ccpn@bioc.cam.ac.uk

=======================================================================

If you are using this software for academic purposes, we suggest
quoting the following references:

===========================REFERENCE START=============================
Rasmus H. Fogh, Wayne Boucher, Wim F. Vranken, Anne
Pajon, Tim J. Stevens, T.N. Bhat, John Westbrook, John M.C. Ionides and
Ernest D. Laue (2005). A framework for scientific data modeling and automated
software development. Bioinformatics 21, 1678-1684.

===========================REFERENCE END===============================
"""

# corresponding python type
PythonType = object

# Python types acceptable as input instead of main type
compatibleTypes = ()

# Special isValid function
# None

# conversion to String
toString  = repr

# conversion from string - NB will not work in all cases. 
#Type 'Any' is not serialisable
fromString = eval

# casting/creation function.    
def create(value):
  return value