msticpy/analysis/anomalous_sequence/utils/cmds_only.py [198:244]:
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    window_len: int,
    use_start_end_tokens: bool,
    start_token: str = None,
    end_token: str = None,
    use_geo_mean: bool = False,
) -> List[float]:
    """
    Compute the likelihoods of a sliding window of length `window_len` in the session.

    Parameters
    ----------
    session: List[str]
        list of commands (strings)
        an example session:
            ['Set-User', 'Set-Mailbox']
    prior_probs: Union[StateMatrix, dict]
        computed probabilities of individual commands
    trans_probs: Union[StateMatrix, dict]
        computed probabilities of sequences of commands (length 2)
    window_len: int
        length of sliding window for likelihood calculations
    use_start_end_tokens: bool
        if True, then `start_token` and `end_token` will be prepended and appended to the
        session respectively before the calculations are done
    start_token: str
        dummy command to signify the start of the session (e.g. "##START##")
    end_token: str
        dummy command to signify the end of the session (e.g. "##END##")
    use_geo_mean: bool
        if True, then each of the likelihoods of the sliding windows will be
        raised to the power of (1/`window_len`)

    Returns
    -------
    list of likelihoods

    """
    if use_start_end_tokens:
        if start_token is None or end_token is None:
            raise MsticpyException(
                "start_token and end_token should not be set to None when "
                "use_start_end_tokens is set to True"
            )

    likelihoods = []
    sess = session.copy()
    if use_start_end_tokens and end_token:
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msticpy/analysis/anomalous_sequence/utils/cmds_params_only.py [321:372]:
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    window_len: int,
    use_start_end_tokens: bool,
    start_token: str = None,
    end_token: str = None,
    use_geo_mean: bool = False,
) -> List[float]:
    """
    Compute the likelihoods of a sliding window in the session.

    Parameters
    ----------
    session: List[Cmd]
        list of Cmd datatype
        an example session:
            [Cmd(name='Set-User', params={'Identity', 'Force'}),
            Cmd(name='Set-Mailbox', params={'Identity', 'AuditEnabled'})]
    prior_probs: Union[StateMatrix, dict]
        computed probabilities of individual commands
    trans_probs: Union[StateMatrix, dict]
         computed probabilities of sequences of commands (length 2)
    param_cond_cmd_probs: Union[StateMatrix, dict]
        computed probabilities of the params conditional on the command
    window_len: int
        length of sliding window for likelihood calculations
    use_start_end_tokens: bool
        if True, then `start_token` and `end_token` will be prepended
        and appended to the session respectively before the calculations
        are done
    start_token: str
        dummy command to signify the start of the session (e.g. "##START##")
    end_token: str
        dummy command to signify the end of the session (e.g. "##END##")
    use_geo_mean: bool
        if True, then each of the likelihoods of the sliding windows will
        be raised to the power of (1/`window_len`)

    Returns
    -------
    List[float]
        list of likelihoods

    """
    if use_start_end_tokens:
        if start_token is None or end_token is None:
            raise MsticpyException(
                "start_token and end_token should not be set to None when "
                "use_start_end_tokens is set to True"
            )

    likelihoods = []
    sess = session.copy()
    if use_start_end_tokens and end_token:
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