Outdated Documentation for resample functional Function

[romanziske]

Describe the bug The documentation for the resample function is outdated and does not accurately reflect the current function signature and behavior.

To Reproduce The current function signature is:

def resample(
    tensor: np.ndarray,
    resamp_rate: float,
    num_iq_samples: int,
    keep_samples: bool,
) -> np.ndarray:

However, the docstring describes different parameters and includes parameters that are not in the actual function signature.

   """Resample a tensor by rational value

    Args:
        samples (:class:`numpy.ndarray`):
            samples to be resampled.

        up_rate (:class:`int`):
            rate at which to up-sample the tensor

        down_rate (:class:`int`):
            rate at which to down-sample the tensor

        num_iq_samples (:class:`int`):
            number of IQ samples to have after resampling

        keep_samples (:class:`bool`):
            boolean to specify if the resampled data should be returned as is

        anti_alias_lpf (:class:`bool`)):
            boolean to specify if an additional anti aliasing filter should be
            applied

    Returns:
        Tensor:
            Resampled tensor
    """

[MattCarrickPL]

Thanks for reporting this. I have fixed this internally and will be part of our next release.