o
    pi                     @   s   d dl Zd dlmZ d dlmZ d dlmZ d dlmZ ddlmZ ddlm	Z	 dd	l
mZ dd
lmZ ddlmZ ddlmZ 		ddedeeef dee	ef deee  dedefddZdddZdS )    N)Union)List)Text)Optional   )Segment)SlidingWindow)Timeline)
Annotation)SlidingWindowFeature   )string_generatorcenter
annotationsupportwindowlabelsmodereturnc                 C   s  t |tst|dr|j}nd}t|t |tr!|}t|g}n| }t|j|j	|j
d}|j|j
|d}|du r?|  n|}dd t|D }tj|t|ftjd }	|j||d	d
D ]\}
}tdt||
}
tdt||}d|	|
|ddf< q_|  D ]Q}z|| }W n ty } zd| d}t|  t|d}~ww |j| ||d	d
D ] \}
}tdt||
}
tdt||}|	|
||f  d7  < qqtj|	d|	d}	t|	||dS )a  Convert annotation to one-hot-encoded numpy array

    Parameters
    ----------
    annotation : `pyannote.core.Annotation`
    support : `pyannote.core.Timeline` or `pyannote.core.Segment`
    window : `SlidingWindow`
        Use this `window`.
    labels : list, optional
        Predefined list of labels. Defaults to using labels in `annotation`.

    Returns
    -------
    y : SlidingWindowFeature
        (N, K) array where y[t, k] > 0 when labels[k] is active at timestep t.
        y[t, k] = -1 means we have no idea.

    See also
    --------
    See `one_hot_decoding` to convert `y` back to a `pyannote.core.Annotation`
    instance
    sliding_window]`window` must be an instance of `SlidingWindow` or have an attribute called 'sliding_window'.)startstepduration)r   Nc                 S   s   i | ]\}}||qS  r   ).0ilabelr   r   M/home/ubuntu/.local/lib/python3.10/site-packages/pyannote/core/utils/numpy.py
<dictcomp>`   s    z$one_hot_encoding.<locals>.<dictcomp>dtypeT)r   return_rangesr   z)List of `labels` does not contain label "z".r   )outr   )
isinstancer   hasattrr   	TypeErrorr   r	   extentr   r   r   samplesr   	enumeratenponeslenint8cropmaxminKeyErrorprintkeys
ValueErrorlabel_timelineminimumr   )r   r   r   r   r   msgr(   	n_samplesindicesyr   jr   ker   r   r   one_hot_encoding*   sN   


r?   c                    st  t |tst|dr|j}nd}t|t| jdk rN| j\} dur(t }nt| }tj	||ftj
d}t| D ]\}}|dkrKd|||d f< q;|} | j\}} du ret   fdd	t|D  t }	tj	d|ftj
d}
t|
| |
f} tj| dd
}t D ]2\}}t|dd|f dkd D ]}|||f dkr|| j}qt||| j}||	||f< qq|	S )a  Convert one-hot-encoded numpy array to annotation

    Parameters
    ----------
    y : (N, K) or (N, ) `numpy.ndarray`
        When y has shape (N, K), y[t, k] > 0 means kth label is active at
        timestep t. When y has shape (N, ), y[t] = 0 means no label is active
        at timestep t, y[t] = k means (k-1)th label is active.
    window : `SlidingWindow`
        Use this `window`.
    labels : list, optional
        Predefined list of labels.  Defaults to labels generated by
        `pyannote.core.utils.generators.string_generator`.

    Returns
    -------
    annotation : `pyannote.core.Annotation`

    See also
    --------
    `one_hot_encoding`
    r   r   r   Nr    r   r   c                    s   g | ]}t  qS r   )next)r   _r$   r   r   
<listcomp>   s    z$one_hot_decoding.<locals>.<listcomp>)axis)r%   r   r&   r   r'   r-   shaper+   r0   zerosint64r*   r   ranger
   vstackdiffwheremiddler   )r;   r   r   r8   NKy_tr=   r   y_offrI   r   onset_tsegmentr   r$   r   one_hot_decoding~   sB   




"rS   )Nr   )N)numpyr+   typingr   r   r   r   rR   r   r   timeliner	   r   r
   featurer   
generatorsr   r?   rS   r   r   r   r   <module>   s6   



T