コード例 #1
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ファイル: regimes.py プロジェクト: INCF/old_nineml_repo
    def __init__(self, name, dimension=None):
        """StateVariable Constructor

        :param name:  The name of the state variable.
        """
        self._name = name.strip()
        self._dimension = dimension if dimension is not None else dimensionless
        ensure_valid_identifier(self._name)
コード例 #2
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    def __init__(self, name):
        """ Port Constructor.

        `name` -- The name of the port, as a `string`
        """
        name = name.strip()
        ensure_valid_identifier(name)
        self._name = name
コード例 #3
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    def __init__(self, port_name):
        """OutputEvent Constructor

        :param port: The name of the output EventPort that should
            transmit an event. An `EventPort` with a mode of 'send' must exist
            with a corresponding name in the componentclass, otherwise a
            ``NineMLRuntimeException`` will be raised.

        """
        self._port_name = port_name.strip()
        ensure_valid_identifier(self._port_name)
コード例 #4
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ファイル: transitions.py プロジェクト: apdavison/nineml
    def __init__(self, port_name):
        """OutputEvent Constructor

        :param port: The name of the output EventPort that should
            transmit an event. An `EventPort` with a mode of 'send' must exist
            with a corresponding name in the componentclass, otherwise a
            ``NineMLRuntimeException`` will be raised.

        """
        self._port_name = port_name.strip()
        ensure_valid_identifier(self._port_name)
コード例 #5
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ファイル: base.py プロジェクト: apdavison/nineml
    def __init__(self, name, dimension=None):
        """Parameter Constructor

        `name` -- The name of the parameter.
        """
        name = name.strip()
        ensure_valid_identifier(name)

        self._name = name
        self._dimension = dimension if dimension is not None else dimensionless
        assert isinstance(self._dimension, Dimension), (
            "dimension must be None or a nineml.Dimension instance")
コード例 #6
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ファイル: base.py プロジェクト: INCF/old_nineml_repo
    def __init__(self, name, dimension=None):
        """Parameter Constructor

        `name` -- The name of the parameter.
        """
        name = name.strip()
        ensure_valid_identifier(name)

        self._name = name
        self._dimension = dimension if dimension is not None else dimensionless
        assert isinstance(self._dimension, Dimension), (
            "dimension must be None or a nineml.Dimension instance")
コード例 #7
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ファイル: base.py プロジェクト: apdavison/nineml
 def __init__(self, name, parameters, main_block):
     ensure_valid_identifier(name)
     BaseALObject.__init__(self)
     self._name = name
     self._main_block = main_block
     # Turn any strings in the parameter list into Parameters:
     if parameters is None:
         parameters = []
     else:
         param_types = (basestring, Parameter)
         param_td = filter_discrete_types(parameters, param_types)
         params_from_strings = [Parameter(s) for s in param_td[basestring]]
         parameters = param_td[Parameter] + params_from_strings
     self._parameters = dict((p.name, p) for p in parameters)
コード例 #8
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ファイル: base.py プロジェクト: INCF/old_nineml_repo
 def __init__(self, name, parameters, main_block):
     ensure_valid_identifier(name)
     BaseALObject.__init__(self)
     self._name = name
     self._main_block = main_block
     # Turn any strings in the parameter list into Parameters:
     if parameters is None:
         parameters = []
     else:
         param_types = (basestring, Parameter)
         param_td = filter_discrete_types(parameters, param_types)
         params_from_strings = [Parameter(s) for s in param_td[basestring]]
         parameters = param_td[Parameter] + params_from_strings
     self._parameters = dict((p.name, p) for p in parameters)
コード例 #9
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ファイル: transitions.py プロジェクト: apdavison/nineml
    def __init__(self, src_port_name, state_assignments=None, event_outputs=None, target_regime_name=None):
        """Constructor for ``OnEvent``

            :param src_port_name: The name of the |EventPort| that triggers
            this transition

            See ``Transition.__init__`` for the definitions of the remaining
            parameters.
        """
        Transition.__init__(
            self,
            state_assignments=state_assignments,
            event_outputs=event_outputs,
            target_regime_name=target_regime_name,
        )
        self._src_port_name = src_port_name.strip()
        ensure_valid_identifier(self._src_port_name)
コード例 #10
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    def __init__(self,
                 src_port_name,
                 state_assignments=None,
                 event_outputs=None,
                 target_regime_name=None):
        """Constructor for ``OnEvent``

            :param src_port_name: The name of the |EventPort| that triggers
            this transition

            See ``Transition.__init__`` for the definitions of the remaining
            parameters.
        """
        Transition.__init__(self,
                            state_assignments=state_assignments,
                            event_outputs=event_outputs,
                            target_regime_name=target_regime_name)
        self._src_port_name = src_port_name.strip()
        ensure_valid_identifier(self._src_port_name)
コード例 #11
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ファイル: regimes.py プロジェクト: INCF/old_nineml_repo
    def __init__(self, *args, **kwargs):
        """Regime constructor

            :param name: The name of the constructor. If none, then a name will
                be automatically generated.
            :param time_derivatives: A list of time derivatives, as
                either ``string``s (e.g 'dg/dt = g/gtau') or as
                |TimeDerivative| objects.
            :param transitions: A list containing either |OnEvent| or
                |OnCondition| objects, which will automatically be sorted into
                the appropriate classes automatically.
            :param *args: Any non-keyword arguments will be treated as
                time_derivatives.


        """
        valid_kwargs = ('name', 'transitions', 'time_derivatives')
        for arg in kwargs:
            if arg not in valid_kwargs:
                err = 'Unexpected Arg: %s' % arg
                raise NineMLRuntimeError(err)

        transitions = kwargs.get('transitions', None)
        name = kwargs.get('name', None)
        kw_tds = normalise_parameter_as_list(kwargs.get('time_derivatives',
                                                        None))
        time_derivatives = list(args) + kw_tds

        self._name = name
        if self.name is not None:
            self._name = self._name.strip()
            ensure_valid_identifier(self._name)

        # Un-named arguments are time_derivatives:
        time_derivatives = normalise_parameter_as_list(time_derivatives)
        # time_derivatives.extend( args )

        td_types = (basestring, TimeDerivative)
        td_type_dict = filter_discrete_types(time_derivatives, td_types)
        td_from_str = [TimeDerivative.from_str(o)
                       for o in td_type_dict[basestring]]
        time_derivatives = td_type_dict[TimeDerivative] + td_from_str

        # Check for double definitions:
        td_dep_vars = [td.dependent_variable for td in time_derivatives]
        assert_no_duplicates(td_dep_vars)

        # Store as a dictionary
        self._time_derivatives = dict((td.dependent_variable, td)
                                      for td in time_derivatives)

        # We support passing in 'transitions', which is a list of both OnEvents
        # and OnConditions. So, lets filter this by type and add them
        # appropriately:
        transitions = normalise_parameter_as_list(transitions)
        f_dict = filter_discrete_types(transitions, (OnEvent, OnCondition))
        self._on_events = []
        self._on_conditions = []

        # Add all the OnEvents and OnConditions:
        for event in f_dict[OnEvent]:
            self.add_on_event(event)
        for condition in f_dict[OnCondition]:
            self.add_on_condition(condition)

        # Sort for equality checking
        self._on_events = sorted(self._on_events,
                                 key=lambda x: x.src_port_name)
        self._on_conditions = sorted(self._on_conditions,
                                     key=lambda x: x.trigger)