o
    pip1                     @   s   d dl mZmZ d dlZd dlmZmZ d dlm	Z	 ddl
mZ ddlmZ ddlmZmZmZmZ er:d d	lmZ d
ZdZdZdZdZdZG dd deZdS )    )OptionalTYPE_CHECKINGN)
AnnotationTimeline)linear_sum_assignment   )UEMSupportMixin)LabelMatcher)MATCH_CORRECTMATCH_CONFUSIONMATCH_MISSED_DETECTIONMATCH_FALSE_ALARM	DataArray	reference
hypothesis
regressionimprovementboth_correctboth_incorrectc                       s   e Zd ZdZddedef fddZ		dd	ed
edee	 defddZ
dd Z		dd	edededee	 def
ddZ	dd	ed
edee	 ddfddZ  ZS )IdentificationErrorAnalysisaA  

    Parameters
    ----------
    collar : float, optional
        Duration (in seconds) of collars removed from evaluation around
        boundaries of reference segments.
    skip_overlap : bool, optional
        Set to True to not evaluate overlap regions.
        Defaults to False (i.e. keep overlap regions).
            Fcollarskip_overlapc                    s"   t    t | _|| _|| _d S N)super__init__r	   matcherr   r   )selfr   r   	__class__ Z/home/ubuntu/.local/lib/python3.10/site-packages/pyannote/metrics/errors/identification.pyr   A   s   

z$IdentificationErrorAnalysis.__init__Nr   r   uemuemifiedc                 C   s8  | j |||| j| jdd\}}}t|j|jd}|D ]x}	|j|	dd}
|j|	dd}| |
|\}}|t D ]\}}|j	|	td}t||f||	|f< q6|t
 D ]\}}|j	|	t
d}t
||f||	|f< qO|t D ]}|j	|	td}t|df||	|f< qh|t D ]}|j	|	td}td|f||	|f< qq|r|||fS |S )a=  Get error analysis as `Annotation`

        Labels are (status, reference_label, hypothesis_label) tuples.
        `status` is either 'correct', 'confusion', 'missed detection' or
        'false alarm'.
        `reference_label` is None in case of 'false alarm'.
        `hypothesis_label` is None in case of 'missed detection'.

        Parameters
        ----------
        uemified : bool, optional
            Returns "uemified" version of reference and hypothesis.
            Defaults to False.

        Returns
        -------
        errors : `Annotation`

        T)r#   r   r   returns_timelineurimodalityFunique)prefixN)uemifyr   r   r   r'   r(   
get_labelsr   r
   	new_trackr   r   r   )r   r   r   r#   r$   RHcommon_timelineerrorssegmentrlabelshlabels_detailsrhtrackr!   r!   r"   
differenceH   s8   
z&IdentificationErrorAnalysis.differencec           	      C   s0   |\}}}|\}}}||kd||k ||k  S )N   r!   )	r   beforeafterb_typeb_refb_hypa_typea_refa_hypr!   r!   r"   _match_errors   s   

z)IdentificationErrorAnalysis._match_errorsr=   r>   c                 C   sr  | j |||dd\}}}| j |||dd\}}}t|j|jd}	| | }
|
 }
| ||
}| ||
}|
D ]}|j|dd}|j|dd}t	|}t	|}t
||}tj||ftd}t|D ]\}}t|D ]\}}| |||||f< qmqett|  D ]\}}||kr|	j|ttd}td || f|	||f< q||kr|	j|ttd}t|| d f|	||f< q|| d tkr|| d tkr|	j|ttd}t|| || f|	||f< q|	j|ttd}t|| || f|	||f< q|| d tkr|	j|ttd}t|| || f|	||f< q|	j|ttd}t|| || f|	||f< qq;|	 }	|r7||||	fS |	S )	NTr#   r$   r&   Fr)   )dtype)	candidater+   r   )r;   r   r'   r(   get_timelineunionsegmentation_taggerr-   lenmaxnpzerosint	enumeraterE   zipr   r.   
REGRESSIONIMPROVEMENTr
   BOTH_CORRECTBOTH_INCORRECTsupport)r   r   r=   r>   r#   r$   r6   errors_beforeerrors_after	behaviorsr1   BAr3   
old_errors
new_errorsn1n2nmatchi1e1i2e2r:   r!   r!   r"   r      s   


0z&IdentificationErrorAnalysis.regressionreturnr   c                 C   s  | j |||dd\}}}| }t| t|  }t| t| B }t| }|j}	t||	d}t||	d}t||	d}|dd |D  }tttt	t
tg| }zddlm}
 W n tyk   d}t|w |
tt|t|fd	|fd
|fgd}|D ]\\}}}}|tkr|j||f  |7  < |j|tf  |7  < |t	kr|j||f  |7  < |j|t	f  |7  < ||v r|jt
|f|f  |7  < |jt
|ft	f  |7  < n|j||f  |7  < |j|t	f  |7  < |t
kr||v r|jt
|ft
f  |7  < n|j|t
f  |7  < |tkr&|j|tf  |7  < q|D ]2}t|trB|d t
krBd}||d }n
||}||}||j|tf< ||j|tf< q)|S )NTrF   )cmpc                 S   s   g | ]}t |fqS r!   )r   ).0hLabelr!   r!   r"   
<listcomp>	  s    z6IdentificationErrorAnalysis.matrix.<locals>.<listcomp>r   r   zLPlease install xarray dependency to use class 'IdentificationErrorAnalysis'.r   r   )coordsr   r<   )r;   chartsetlabels_cmp_labelssortedREFERENCE_TOTALHYPOTHESIS_TOTALr
   r   r   r   xarrayr   ImportErrorrO   rP   rM   loc
isinstancetuplelabel_duration)r   r   r   r#   r2   rn   falseAlarmLabelshLabelsrLabelscmp_funcr   msgmatrixstatusrLabelrk   durationr8   r9   r!   r!   r"   r      sv   




z"IdentificationErrorAnalysis.matrix)r   F)NFr   )__name__
__module____qualname____doc__floatboolr   r   r   r   r;   rE   r   r   __classcell__r!   r!   r   r"   r   4   sL    

A

br   )typingr   r   numpyrO   pyannote.corer   r   scipy.optimizer   identificationr   r   r	   r
   r   r   r   ru   r   rs   rt   rT   rU   rV   rW   r   r!   r!   r!   r"   <module>   s    