waveform_editor.tendencies.import_tendency.ImportTendency¶

class waveform_editor.tendencies.import_tendency.ImportTendency(**kwargs)¶

Bases: BaseTendency

A waveform segment whose values are imported from an external entry.

Instead of an analytic shape, the values are read from a named entry in globals.imports. By default the same DD path the segment sits at is read (default_path, set by the parent waveform); path overrides it and time_offset shifts the sampling time. interp selects the resampling mode (closest/linear/previous) used when sampling onto the export time base.

For a 0D (scalar) quantity an import may be one segment among analytic ones, each filling its [start, end] window, so this is a real tendency. Non-0D quantities and wildcard paths instead use an ImportWaveform.

Values come from an ImportResolver bound by the parent waveform: get_value(time) returns values resampled onto time (export); get_value() returns the raw source samples (editing/plotting), clipped to this segment's window only when one was given.

__init__(**kwargs)¶

Methods

__init__(**kwargs)
get_derivative(time)	Get the values of the derivatives at the provided time array.
get_value([time])	Get the tendency values at the provided time array.
set_next_tendency(next_tendency)	Sets the next tendency as a param.
set_previous_tendency(prev_tendency)	Sets the previous tendency as a param.

Attributes

allow_zero_duration
annotations
default_path
duration
end
end_derivative
end_value
is_first_repeated
line_number
name
next_tendency
param
prev_tendency
resolver
start
start_derivative
start_value
start_value_set
times_changed
user_duration
user_end
user_interp
user_path
user_ref
user_start
user_time_offset
values_changed

get_derivative(time: ndarray) → ndarray¶

Get the values of the derivatives at the provided time array.

get_value(time: ndarray | None = None)¶

Get the tendency values at the provided time array.

set_next_tendency(next_tendency)¶

Sets the next tendency as a param.

Parameters:

next_tendency¶

The tendency follows the current tendency.

set_previous_tendency(prev_tendency)¶

Sets the previous tendency as a param.

Parameters:

prev_tendency¶

The tendency precedes the current tendency.