Source code for tvb.core.entities.transient.range_parameter

# -*- coding: utf-8 -*-
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# TheVirtualBrain-Framework Package. This package holds all Data Management, and
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# This program is free software: you can redistribute it and/or modify it under the
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import json

import numpy
from tvb.basic.neotraits.api import HasTraits, Range




class RangeParameter(object):
    KEY_FLOAT_LO = 'lo'
    KEY_FLOAT_STEP = 'step'
    KEY_FLOAT_HI = 'hi'

    def __init__(self, name, type, range_definition=None, is_array=False, range_values=None):
        self.name = name
        self.type = type
        self.is_array = is_array
        # range_definition is a Range object when type=float and a FilterChain otherwise
        self.range_definition = range_definition
        self.range_values = range_values



    def to_json(self):
        if self.type is float:
            return json.dumps([self.name, {self.KEY_FLOAT_LO: self.range_definition.lo,
                                           self.KEY_FLOAT_STEP: self.range_definition.step,
                                           self.KEY_FLOAT_HI: self.range_definition.hi}])

        return json.dumps([self.name, self.range_definition])




    @staticmethod
    def from_json(range_json):
        range_list = json.loads(range_json)
        if isinstance(range_list[1], dict):
            return RangeParameter(range_list[0], float,
                                  Range(range_list[1][RangeParameter.KEY_FLOAT_LO],
                                        range_list[1][RangeParameter.KEY_FLOAT_HI],
                                        range_list[1][RangeParameter.KEY_FLOAT_STEP]))

        return RangeParameter(range_list[0], HasTraits, range_list[1])




    def get_range_values(self):
        if self.type is float:
            self.range_values = self.range_definition.to_array()
            if self.is_array:
                self.range_values = [numpy.array([value]) for value in self.range_values]
        return self.range_values




    def fill_from_default(self, range_param):
        # type: (RangeParameter) -> None
        self.type = range_param.type
        self.is_array = range_param.is_array


    def __str__(self):
        return self.name