shift_vertical

selfeeg.augmentation.functional.shift_vertical(x: ArrayLike, value: float) → ArrayLike[source]

adds a scalar value to the ArrayLike object.

Parameters:

x (ArrayLike) – the input Tensor or Array.
value (float) – The scalar to add.

Returns:

x (ArrayLike) – the augmented version of the input Tensor or Array.

Example

>>> import torch
>>> import selfeeg.augmentation as aug
>>> x = torch.zeros(16,32,1024) + torch.sin(torch.linspace(0, 8*torch.pi,1024))
>>> xaug = aug.shift_vertical(x, 4)
>>> print(torch.equal(x+4,xaug)) # should return True