csc.update.RegularData

class csc.update.RegularData

RegularData class represents a node of a data.

Variables:
  • value – overridden method by frame, get data value (requires frame if Animation data)

  • set_value – overridden method by frame, set data value (requires frame if Animation data)

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)

actuality(self)

output attribute, that provides actuality status

attribute(self, d)

get attribute by direction

attributes(self, d)

array of all input and output attributes

data_id(self)

equal_to(self, arg0)

full_name(self)

name with all the parent nodes

get_apply_euler_filter(self)

get apply euler filter

get_explicit_linear(self)

get explicit linear

get_lerp_mode(self)

get lerp mode

has_input(self, name)

check if there is an input with such a name

has_output(self, name)

check if there is an output with such a name

id(self)

get uniqui id

input(self)

input attribute

inputs(self)

array of all the inputes attributes

is_active(self)

check whether it is active for current actualities states (see Additional functionality in csc.update.UpdateEditor)

is_actual(self)

check if this data is set to actual (see Additional functionality in csc.update.UpdateEditor)

is_fictive(self)

whether it is a fictive node (constants, inputs, outputs of a group or external properties)

mode(self)

Check if data is Animation or Static

name(self)

get name

output(self)

output attribute

outputs(self)

array of all the outputs attributes

parent_group(self)

return parent group (where this group node is located)

parent_object(self)

return object of the node.

remove_period(self)

in interpolation, remove period

set_actual(self, act)

set this data as actual (see Additional functionality in csc.update.UpdateEditor)

set_apply_euler_filter(self, apply_euler_filter)

set apply euler filter

set_description_value(self, name)

setDescriptionValue

set_explicit_linear(self, explicit_linear)

set explicit linear

set_lerp_mode(self, mode)

can be slerp for Vector3 datas.

set_name(self, name)

rename node

set_period(self, period)

in interpolation, if perion is provided, the data will be "fixed" to provide smoothness

set_value(*args, **kwargs)

Overloaded function.

value(*args, **kwargs)

Overloaded function.

__annotations__ = {}
__init__(*args, **kwargs)
__module__ = 'csc.update'
actuality(self: csc.update.RegularData) csc.update.ActualityAttribute

output attribute, that provides actuality status

attribute(self: csc.update.RegularData, d: csc.Direction) csc.update.RegularDataAttribute

get attribute by direction

data_id(self: csc.update.RegularData) csc.model.DataId
get_apply_euler_filter(self: csc.update.RegularData) bool

get apply euler filter

get_explicit_linear(self: csc.update.RegularData) bool

get explicit linear

get_lerp_mode(self: csc.update.RegularData) csc.model.LerpMode

get lerp mode

input(self: csc.update.RegularData) csc.update.RegularDataAttribute

input attribute

is_actual(self: csc.update.RegularData) bool

check if this data is set to actual (see Additional functionality in csc.update.UpdateEditor)

mode(self: csc.update.RegularData) csc.model.DataMode

Check if data is Animation or Static

output(self: csc.update.RegularData) csc.update.RegularDataAttribute

output attribute

remove_period(self: csc.update.RegularData) None

in interpolation, remove period

set_actual(self: csc.update.RegularData, act: bool) None

set this data as actual (see Additional functionality in csc.update.UpdateEditor)

set_apply_euler_filter(self: csc.update.RegularData, apply_euler_filter: bool) None

set apply euler filter

set_description_value(self: csc.update.RegularData, name: str) None

setDescriptionValue

set_explicit_linear(self: csc.update.RegularData, explicit_linear: bool) None

set explicit linear

set_lerp_mode(self: csc.update.RegularData, mode: csc.model.LerpMode) None

can be slerp for Vector3 datas. Used in interpolation

set_period(self: csc.update.RegularData, period: float) None

in interpolation, if perion is provided, the data will be “fixed” to provide smoothness

set_value(*args, **kwargs)

Overloaded function.

  1. set_value(self: csc.update.RegularData, v: Union[bool, int, float, numpy.ndarray[numpy.float32[3, 1]], numpy.ndarray[numpy.float32[4, 1]], csc.math.Rotation, numpy.ndarray[numpy.float32[3, 3]], numpy.ndarray[numpy.float32[4, 4]], csc.math.Quaternion, str, numpy.ndarray[bool[3, 1]]]) -> None

  2. set_value(self: csc.update.RegularData, v: Union[bool, int, float, numpy.ndarray[numpy.float32[3, 1]], numpy.ndarray[numpy.float32[4, 1]], csc.math.Rotation, numpy.ndarray[numpy.float32[3, 3]], numpy.ndarray[numpy.float32[4, 4]], csc.math.Quaternion, str, numpy.ndarray[bool[3, 1]]], frame: int) -> None

value(*args, **kwargs)

Overloaded function.

  1. value(self: csc.update.RegularData) -> Union[bool, int, float, numpy.ndarray[numpy.float32[3, 1]], numpy.ndarray[numpy.float32[4, 1]], csc.math.Rotation, numpy.ndarray[numpy.float32[3, 3]], numpy.ndarray[numpy.float32[4, 4]], csc.math.Quaternion, str, numpy.ndarray[bool[3, 1]]]

  2. value(self: csc.update.RegularData, frame: int) -> Union[bool, int, float, numpy.ndarray[numpy.float32[3, 1]], numpy.ndarray[numpy.float32[4, 1]], csc.math.Rotation, numpy.ndarray[numpy.float32[3, 3]], numpy.ndarray[numpy.float32[4, 4]], csc.math.Quaternion, str, numpy.ndarray[bool[3, 1]]]