relax SVN archive

Created the _print_model_title_global() specific analysis API method.

This is to be paired with the _model_loop_single_global() API method and it simply prints out the
prefix as the title.

Reverted r24323 as relax dependency of numpy is now 1.6 where "einsum" function is available.

The command used was:
svn merge -r24323:r24322 .

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r24323 | tlinnet | 2014-06-25 19:31:40 +0200 (Wed, 25 Jun 2014) | 3 lines

Implemented a dependency check for numpy einsum, so relax can still start.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.
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Reverted r24337 as relax dependency of numpy is now 1.6 where the "out" argument is available.

The command used was:
svn merge -r24337:r24336 .

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r24337 | tlinnet | 2014-06-27 12:58:24 +0200 (Fri, 27 Jun 2014) | 8 lines

Added a numpy "out" argument check to dep_check.py.

This is for checking the out argument of:
numpy.multiply
numpy.add
numpy.subtract

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.
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Reverted r24336 as relax dependency of numpy is now 1.6 where the "einsum" function is available.

The command used was:
svn merge -r24336:r24335 .

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r24336 | tlinnet | 2014-06-27 12:58:22 +0200 (Fri, 27 Jun 2014) | 3 lines

Added to target function that experiment_type_setup() should not be initiated, if numpy.einsum is missing.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.
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Reverted r24339 as relax dependency of numpy is now 1.6 where the "out" argument is available.

The command used was:
svn merge -r24339:r24338 .

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r24339 | tlinnet | 2014-06-27 12:58:29 +0200 (Fri, 27 Jun 2014) | 3 lines

Added a list of systemtests to skip, if numpy "out" argument is not available.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.
.....

Removed some excess empty lines in specific_analyses.api.

Import fix for the N-state model parameter object in the specific API return_parameter_object() function.

Updated the NOE analysis to handle the changes for the minimise.calculate user function.

This now requires the model_loop() and get_param_names() API methods to be implemented. The first
is provided by the API common _model_loop_spin() method and the second simply returns a list of the
single 'noe' parameter.

Fixes for the relaxation curve-fitting grid search.

The parameters which are not set are no longer defaulting to 0.0. This means that the parameter
vector will sometimes contain NaN values, but this is important for the correct operation of the new
minimise.grid_search user function backend.

The minimise.grid_search user function can now properly handle preset values of NaN.

This occurs when the parameter vector contains values of None due to the parameter not being set and
then the Python list being converted to a numpy array. The value of NaN is now caught and the
parameter is no longer identified as being preset.