waveform_editor.tendencies.repeat.RepeatTendency¶

class waveform_editor.tendencies.repeat.RepeatTendency(**kwargs)¶

Bases: BaseTendency

Tendency class for a repeated signal.

__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
duration
end
end_derivative
end_value
is_first_repeated
line_number
name
next_tendency
param
prev_tendency
start
start_derivative
start_value
start_value_set
times_changed
user_duration
user_end
user_frequency
user_period
user_start
values_changed

get_derivative(time: ndarray) → ndarray¶

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

Parameters:

time: ndarray¶

The time array on which to generate points.

Returns:

numpy array containing the derivatives

get_value(time: ndarray | None = None) → tuple[numpy.ndarray, numpy.ndarray]¶

Get the tendency values at the provided time array. If no time array is provided, the individual tendencies are responsible for creating a time array, and these are appended.

Parameters:

time: ndarray | None = None¶

The time array on which to generate points.

Returns:

Tuple containing the time and its tendency values.

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.