relax SVN archive

Changed the interpreter from '/usr/bin/python' to '/usr/bin/env python'.

This changes the first line of the 'relax' file. The change was suggested by Douglas Kojetin
(douglas dot kojetin at gmail dot com) in the post located at
https://mail.gna.org/public/relax-devel/2006-11/msg00098.html (Message-id:
<0E180DBB-896A-45F6-B19D-D6A02FD2BA4A@...>).

The change allows relax to run on Mac OS X by just typing 'relax'. This is because the python
binary is located at '/sw/bin/python'.

Ported r2745, r2746, and r2778 from the 1.2 line.

The commands used were:
svn merge -r2744:2746 svn+ssh://bugman@.../svn/relax/1.2
svn merge -r2777:2778 svn+ssh://bugman@.../svn/relax/1.2

This includes editing of the release checklist file, a spell check of the CHANGES file, and the fix
to bug #7677 (https://gna.org/bugs/index.php?7677).

Fix for bug #7677 (https://gna.org/bugs/index.php?7677).

The fix was simply to add the dummy keyword argument "status=0" to the end of the argument list of
the 'print_stats()' statistics sorting and printing function.

Added tests for isZero & isPositive & id based dicts and subset removal

Preliminary implimentation of auto-scaling for viewing tensors.

As discussed at:
https://mail.gna.org/public/relax-devel/2006-10/msg00204.html

This revision provides a simple scaling based on molecular mass.
This option is selected with the scale='mass' option to the
pdb.create_tensor_pdb() command

Restoring revision 2656. This removes usage of apply() from minimisation
code.

svn merge -r 2656:2657 svn+ssh://macraild@.../svn/relax/1.3

This introduces the changes made and tested in the apply branch.

initial checkin of a unit test runner

note this version only runs one test test_float.py!

Added hybrid run support for the 'pdb.create_tensor_pdb()' user function.

The function 'self.create_tensor_pdb()' in the file 'generic_fns/pdb.py' has been modified to loop
over an array of runs. This array is normally the single standard run. However when a hybrid run
is encountered, the runs of the hybrid are looped over.

The chain ID letter is now taken from the 'string.ascii_uppercase' string. The letter is extracted
using the run index.

All atom IDs have had the chain ID appended to the end to make then unique when multiple chains
exist.

The data structure 'self.atomic_data' of 'generic_fns/pdb.py' has been modified to include the
record name (ATOM, HETATM, or TER) at position 1. Hence all other elements have been shifted by
one. This is to allow multiple TER records one at the end of each chain, each having their own atom
number.

The 'het_data' array in 'self.write_pdb_file()' is no longer sorted as it already is sorted because
of the sorting of atomic data arrays. This allows the HET records to be sorted first by chain ID
then by residue number.

The HETNAM and FORMUL records are now only created if the residue has not been previously
encountered. This avoids duplicated records.

All the atomic coordinate records (ATOM, HETATM, or TER) are now created sequentially by looping
over the atomic data sorted by atom number.

Due to the failure of 'state.save()', i.e. can't pickle, 'data.py' has been split up and redesigned.

A new directory 'data' has been created to all the modules for constructing 'self.relax.data'. The
file 'data.py' has been moved into the directory as 'data/main.py' and duplicated into three more
files.

All the 'self._auto_object*()' methods for automatically creating the diffusion tensor data
structures have been shifted into the module 'data.diff_tensor_auto_objects'. These have been
converted into functions and all references to 'self' have been eliminated. The local namespace of
'self.relax.data.diff[run]' is now passed into these functions as the first argument to allow its
objects to be accessed. This change fixes the pickling problem and restores the state saving and
loading functions.

In the module 'data.diff_tensor', all that remains of the original 'data.py' file is the data
containers 'DiffTensorData' and 'DiffTensorElement' as well as the 'DiffAutoNumericObject' and
'DiffAutoSimArrayObject' automatically generated objects. The first two classes assign the
'auto_object*()' functions to specific instances of the last two classes which then call the
functions to obtain the data.

The data containers 'Element', 'SpecificData', 'Residue', and 'ResidueList' are located in the
module 'data.data_classes'.

All that remains in the original 'data.py' file ('data/main.py') is the basal data container 'Data'.

The files 'relax', 'prompt/init_data.py', and 'thread_classes.py' have been modified to import the
correct modules.

corrected Test_GetFloatClass so it works