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Change print_output argument in search_for_keff to more general run_args
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1 changed files with 15 additions and 10 deletions
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@ -12,7 +12,7 @@ _SCALAR_BRACKETED_METHODS = ['brentq', 'brenth', 'ridder', 'bisect']
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def _search_keff(guess, target, model_builder, model_args, print_iterations,
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print_output, guesses, results):
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run_args, guesses, results):
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"""Function which will actually create our model, run the calculation, and
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obtain the result. This function will be passed to the root finding
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algorithm
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@ -31,8 +31,8 @@ def _search_keff(guess, target, model_builder, model_args, print_iterations,
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print_iterations : bool
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Whether or not to print the guess and the resultant keff during the
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iteration process.
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print_output : bool
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Whether or not to print the OpenMC output during the iterations.
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run_args : dict
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Keyword arguments to pass to :meth:`openmc.Model.run`.
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guesses : Iterable of Real
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Running list of guesses thus far, to be updated during the execution of
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this function.
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@ -51,7 +51,7 @@ def _search_keff(guess, target, model_builder, model_args, print_iterations,
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model = model_builder(guess, **model_args)
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# Run the model and obtain keff
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sp_filepath = model.run(output=print_output)
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sp_filepath = model.run(**run_args)
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with openmc.StatePoint(sp_filepath) as sp:
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keff = sp.keff
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@ -70,7 +70,7 @@ def _search_keff(guess, target, model_builder, model_args, print_iterations,
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def search_for_keff(model_builder, initial_guess=None, target=1.0,
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bracket=None, model_args=None, tol=None,
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bracketed_method='bisect', print_iterations=False,
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print_output=False, **kwargs):
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run_args=None, **kwargs):
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"""Function to perform a keff search by modifying a model parametrized by a
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single independent variable.
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@ -102,9 +102,11 @@ def search_for_keff(model_builder, initial_guess=None, target=1.0,
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print_iterations : bool
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Whether or not to print the guess and the result during the iteration
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process. Defaults to False.
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print_output : bool
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Whether or not to print the OpenMC output during the iterations.
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Defaults to False.
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run_args : dict, optional
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Keyword arguments to pass to :meth:`openmc.Model.run`. Defaults to no
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arguments.
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.. versionadded:: 0.13.1
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**kwargs
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All remaining keyword arguments are passed to the root-finding
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method.
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@ -137,7 +139,10 @@ def search_for_keff(model_builder, initial_guess=None, target=1.0,
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cv.check_value('bracketed_method', bracketed_method,
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_SCALAR_BRACKETED_METHODS)
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cv.check_type('print_iterations', print_iterations, bool)
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cv.check_type('print_output', print_output, bool)
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if run_args is None:
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run_args = {}
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else:
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cv.check_type('run_args', run_args, dict)
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cv.check_type('model_builder', model_builder, Callable)
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# Run the model builder function once to make sure it provides the correct
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@ -188,7 +193,7 @@ def search_for_keff(model_builder, initial_guess=None, target=1.0,
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# Add information to be passed to the searching function
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args['args'] = (target, model_builder, model_args, print_iterations,
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print_output, guesses, results)
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run_args, guesses, results)
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# Create a new dictionary with the arguments from args and kwargs
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args.update(kwargs)
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