How to use the traits.api.Any function in traits

desc="basename of data file")
    
    #: Calibration data, instance of :class:`~acoular.calib.Calib` class, optional .
    calib = Trait( Calib, 
        desc="Calibration data")
    
    #: Number of channels, is set automatically / read from file.
    numchannels = CLong(0, 
        desc="number of input channels")

    #: Number of time data samples, is set automatically / read from file.
    numsamples = CLong(0, 
        desc="number of samples")

    #: The time data as array of floats with dimension (numsamples, numchannels).
    data = Any( transient = True, 
        desc="the actual time data array")

    #: HDF5 file object
    h5f = Instance(tables.File, transient = True)
    
    # Checksum over first data entries of all channels
    _datachecksum = Property()
    
    # internal identifier
    digest = Property( depends_on = ['basename', 'calib.digest', '_datachecksum'])

    traits_view = View(
        ['name{File name}', 
            ['sample_freq~{Sampling frequency}', 
            'numchannels~{Number of channels}', 
            'numsamples~{Number of samples}',

# The renderer or Plot to attach this scrollbar to.  By default, this
    # is just self.component.
    plot = Property

    # The mapper for associated with the scrollbar. By default, this is the
    # mapper on **plot** that corresponds to **axis**.
    mapper = Property

    #------------------------------------------------------------------------
    # Private traits
    #------------------------------------------------------------------------

    # The value of the override plot to use, if any.  If None, then uses
    # self.component.
    _plot = Trait(None, Any)

    # The value of the override mapper to use, if any.  If None, then uses the
    # mapper on self.component.
    _mapper = Trait(None, Any)

    # Stores the index (0 or 1) corresponding to self.axis
    _axis_index = Trait(None, None, Int)


    #----------------------------------------------------------------------
    # Public methods
    #----------------------------------------------------------------------

    def force_data_update(self):
        """ This forces the scrollbar to recompute its range bounds.  This
        should be used if datasources are changed out on the range, or if

# The most recently right_clicked item and its index:
    right_clicked = Event
    right_clicked_index = Event

    # Is the list editor scrollable? This value overrides the default.
    scrollable = True

    # Should the selected item be edited after rebuilding the editor list:
    edit = Bool(False)

    # The adapter from list items to editor values:
    adapter = Instance(ListStrAdapter)

    # Dictionary mapping image names to QIcons
    images = Any({})

    # Dictionary mapping ImageResource objects to QIcons
    image_resources = Any({})

    # The current number of item currently in the list:
    item_count = Property

    # The current search string:
    search = Str

    #-------------------------------------------------------------------------
    #  Editor interface:
    #-------------------------------------------------------------------------

    def init(self, parent):
        """ Finishes initializing the editor by creating the underlying toolkit

############################################################################
# Automatically generated filters from registry.
############################################################################
class _AutomaticFilterFactory(PipeFactory):
    """The base class for any auto-generated factory classes.

    NOTE: This class requires that the `_metadata` trait be set to
    the metadata object for the object for which this is a factory.
    """

    # The target.
    _target = Property

    # The saved target that is created once and then always returned.
    _saved_target = Any(None)

    def _get__target(self):
        """Getter for the _target trait."""
        if self._saved_target is None:
            self._saved_target = self._metadata.get_callable()()

        return self._saved_target


def _make_functions(namespace):
    """Make the functions for adding filters and add them to the
    namespace automatically.
    """
    for fil in registry.filters:
        func_name = camel2enthought(fil.id)
        class_name = fil.id

config = Property(Dict, depends_on=['specs'])

    # Username used to connect to the DB
    username = Property(Str, depends_on=['config'])

    # Password used to connect to the DB
    password = Property(Str, depends_on=['config'])

    # hostname of the DB
    hostname = Property(Str, depends_on=['config'])

    # name of the database
    db_name = Property(Str, depends_on=['config'])

    # Chunksize
    chunksize = Property(Any, depends_on=['specs'])

    # Query
    query = Property(Str, depends_on=['specs'])

    # SQlAlchemy connection object to be used by the parser
    connection = Property(Any, depends_on=['username', 'password', 'hostname',
                                           'db_name'])

    # Parser args to be used by the pandas parser
    parser_args = Property(Dict, depends_on=['connection', 'specs'])

    @cached_property
    def _get_chunksize(self):
        return self.specs.get("chunksize")

    @cached_property

while True:
                    line = queue.get()
                    if line == 'EOF':
                        break
                    yield line

        or a simple line-by-line filter::

            def filter(line):
                return processed(line)
    """

    _simple = CBool
    _stop = CBool
    _queue = Any(transient=True)
    _process = Any(transient=True)

    def cmd_loop(self):
        p = self._process = subprocess.Popen(self.cmd, shell=True, executable='bash', stdout=subprocess.PIPE)
        while True:
            line = p.stdout.readline().decode('utf-8')
            self._queue.put(line)
            if not line:
                self.logger.debug('Process exiting (cmd_loop)')
                break

    def status_loop(self):
        args = (self,) if self.caller else ()

        def default_filter(queue, *args):
            while True:
                line = queue.get()

segment_number = Int(0)
    
    ### View traits
    
    antic_font = Any
    
    playfield_colors = Any
    
    disassembler = Any
    
    segment = Any(None)
    
    highlight_color = Any((100, 200, 230))
    
    background_color = Any((255, 255, 255))
    
    text_color = Any((0, 0, 0))
    
    empty_color = Any(None)
    
    text_font_size = Int(8)
    
    text_font_face = Str("")
    
    text_font = Any(None)

    #### Events ####

    changed = Event

    key_pressed = Event(KeyPressedEvent)

keep = util.PositiveFloat(0.9, allow_zero = False)
    bins = util.PositiveInt(100, allow_zero = False)
    min_quantile = util.PositiveFloat(0.001, allow_zero = True)
    max_quantile = util.PositiveFloat(1.0, allow_zero = False)
    sigma = util.PositiveFloat(1.0, allow_zero = False)
    by = List(Str)
        
    _xscale = Instance(util.IScale, transient = True)
    _yscale = Instance(util.IScale, transient = True)
    
    _xbins = Array(transient = True)
    _ybins = Array(transient = True)

    _keep_xbins = Dict(Any, Array, transient = True)
    _keep_ybins = Dict(Any, Array, transient = True)
    _histogram = Dict(Any, Array, transient = True)
    
    def estimate(self, experiment, subset = None):
        """
        Split the data set into bins and determine which ones to keep.
        
        Parameters
        ----------
        experiment : Experiment
            The :class:`.Experiment` to use to estimate the gate parameters.
            
        subset : Str (default = None)
            If set, determine the gate parameters on only a subset of the
            ``experiment`` parameter.
        """
        
        if experiment is None:

class ActionItem(ActionManagerItem):
    """ An action manager item that represents an actual action. """

    # 'ActionManagerItem' interface ----------------------------------------

    #: The item's unique identifier ('unique' in this case means unique within
    #: its group).
    id = Property(Str)

    # 'ActionItem' interface -----------------------------------------------

    #: The action!
    action = Instance(Action)

    #: The toolkit specific control created for this item.
    control = Any()

    #: The toolkit specific Id of the control created for this item.
    #
    #: We have to keep the Id as well as the control because wx tool bar tools
    #: are created as 'wxObjectPtr's which do not have Ids, and the Id is
    #: required to manipulate the state of a tool via the tool bar 8^(
    # FIXME v3: Why is this part of the public interface?
    control_id = Any()

    # Private interface ----------------------------------------------------

    #: All of the internal instances that wrap this item.
    _wrappers = List(Any)

    # ------------------------------------------------------------------------
    # 'ActionManagerItem' interface.

grid_range_selected = Bool
    
    segment_parser = Any
    
    segment_number = Int(0)
    
    ### View traits
    
    antic_font = Any
    
    playfield_colors = Any
    
    disassembler = Any
    
    segment = Any(None)
    
    highlight_color = Any((100, 200, 230))
    
    background_color = Any((255, 255, 255))
    
    text_color = Any((0, 0, 0))
    
    empty_color = Any(None)
    
    text_font_size = Int(8)
    
    text_font_face = Str("")
    
    text_font = Any(None)

    #### Events ####