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Source code for tvb.adapters.simulator.form_with_ranges

# -*- coding: utf-8 -*-
#
#
# TheVirtualBrain-Framework Package. This package holds all Data Management, and
# Web-UI helpful to run brain-simulations. To use it, you also need do download
# TheVirtualBrain-Scientific Package (for simulators). See content of the
# documentation-folder for more details. See also http://www.thevirtualbrain.org
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# (c) 2012-2022, Baycrest Centre for Geriatric Care ("Baycrest") and others
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# This program is free software: you can redistribute it and/or modify it under the
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#   CITATION:
# When using The Virtual Brain for scientific publications, please cite it as follows:
#
#   Paula Sanz Leon, Stuart A. Knock, M. Marmaduke Woodman, Lia Domide,
#   Jochen Mersmann, Anthony R. McIntosh, Viktor Jirsa (2013)
#       The Virtual Brain: a simulator of primate brain network dynamics.
#   Frontiers in Neuroinformatics (7:10. doi: 10.3389/fninf.2013.00010)
#
#
from abc import abstractmethod
from tvb.basic.neotraits.api import NArray
from tvb.core.entities.transient.range_parameter import RangeParameter
from tvb.core.neotraits.forms import Form


[docs]class FormWithRanges(Form): @staticmethod @abstractmethod
[docs] def get_params_configurable_in_phase_plane(): """Return a list with all parameter names that can be configured in Phase Plane viewer for the current model"""
def _get_parameters_for_pse(self): pass def _gather_parameters_with_range_defined(self): parameters_with_range = [] for trait_field in self.trait_fields: if isinstance(trait_field.trait_attribute, NArray) and trait_field.trait_attribute.domain: parameters_with_range.append(trait_field.trait_attribute) return parameters_with_range
[docs] def get_range_parameters(self): parameters_for_pse = self._gather_parameters_with_range_defined() result = [] for range_param in parameters_for_pse: range_obj = RangeParameter(range_param.field_name, float, range_param.domain, isinstance(range_param, NArray)) result.append(range_obj) return result