Example #1
0
def transfer_optimization_problem(class_name,
                                  file_name=[],
                                  compiler_options={},
                                  compiler_log_level='warning',
                                  accept_model=False):
    """ 
    Compiles and transfers an optimization problem to the ModelicaCasADi interface. 
    
    A  model class name must be passed, all other arguments have default values. 
    The different scenarios are:
    
    * Only class_name is passed: 
        - Class is assumed to be in MODELICAPATH.
    
    * class_name and file_name is passed:
        - file_name can be a single path as a string or a list of paths 
          (strings). The paths can be file or library paths.
    
        
    Parameters::
    
        class_name -- 
            The name of the model class.
            
        file_name -- 
            A path (string) or paths (list of strings) to model files and/or 
            libraries.
            Default: Empty list.

        compiler_options --
            Options for the compiler.
            Note that MODELICAPATH is set to the standard for this
            installation if not given as an option.
            Default: Empty dict.
            
        compiler_log_level --
            Set the logging for the compiler. Valid options are:
            'warning'/'w', 'error'/'e', 'info'/'i' or 'debug'/'d'. 
            Default: 'warning'

        accept_model --
            If true, allows to transfer a model. Only the model parts of the
            OptimizationProblem will be initialized.


    Returns::
    
        An OptimizationProblem representing the class given by class_name.

    """
    op = OptimizationProblem()
    _transfer_optimization_problem(op,
                                   class_name=class_name,
                                   file_name=file_name,
                                   compiler_options=compiler_options,
                                   compiler_log_level=compiler_log_level,
                                   accept_model=accept_model)
    return op
Example #2
0
def transfer_optimization_problem(class_name, file_name=[],
                                  compiler_options={}, compiler_log_level='warning'):
    """ 
    Compiles and transfers an optimization problem to the ModelicaCasADi interface. 
    
    A  model class name must be passed, all other arguments have default values. 
    The different scenarios are:
    
    * Only class_name is passed: 
        - Class is assumed to be in MODELICAPATH.
    
    * class_name and file_name is passed:
        - file_name can be a single path as a string or a list of paths 
          (strings). The paths can be file or library paths.
    
    Library directories can be added to MODELICAPATH by listing them in a 
    special compiler option 'extra_lib_dirs', for example:
    
        compiler_options = 
            {'extra_lib_dirs':['c:\MyLibs1','c:\MyLibs2']}
        
    Other options for the compiler should also be listed in the compiler_options 
    dict.
    
        
    Parameters::
    
        class_name -- 
            The name of the model class.
            
        file_name -- 
            A path (string) or paths (list of strings) to model files and/or 
            libraries.
            Default: Empty list.

        compiler_options --
            Options for the compiler.
            Note that MODELICAPATH is set to the standard for this
            installation if not given as an option.
            Default: Empty dict.
            
        compiler_log_level --
            Set the logging for the compiler. Valid options are:
            'warning'/'w', 'error'/'e', 'info'/'i' or 'debug'/'d'. 
            Default: 'warning'

    Returns::
    
        An OptimizationProblem representing the class given by class_name.

    """
    model = OptimizationProblem()
    _transfer_optimization_problem(model, class_name=class_name, file_name=file_name,
                                   compiler_options=compiler_options,
                                   compiler_log_level=compiler_log_level)
    return model
 def transfer_optimization_problem(*args, **kwargs):
     model = OptimizationProblem()
     _transfer_optimization_problem(model, *args, **kwargs)
     return model