o 8wiF)@sddlZddlmZddlZddlZddlmZmZm Z ddl m Z ddl m Z ddl mZddl mZdd l mZe Ze Zd d Zd d ZddZd#ddZddZddZddZd$dede fddZddZdd ZGd!d"d"eZdS)%N)Path)SegmentTimeline Annotation) ProtocolFile)Text)Union)Dict)ListcCsZd}|dd}|dur||d7}||d7}|dd}|dur+|d|d7}|S) aReturn unique item identifier The complete format is {database}/{uri}_{channel}: * prefixed by "{database}/" only when `item` has a 'database' key. * suffixed by "_{channel}" only when `item` has a 'channel' key. Parameters ---------- item : dict Item as yielded by pyannote.database protocols Returns ------- identifier : str Unique item identifier databaseN/urichannel_d)get)item IDENTIFIERr rrS/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/pyannote/database/util.pyget_unique_identifier-s   rcCsd|vr |d}|Sd|vr/z|d}Wn tyYnwttd|g}d}t||S|d}t|g}d}t||S)aGet part of the file that is annotated. Parameters ---------- current_file : `dict` File generated by a `pyannote.database` protocol. Returns ------- annotated : `pyannote.core.Timeline` Part of the file that is annotated. Defaults to `current_file["annotated"]`. When it does not exist, try to use the full audio extent. When that fails, use "annotation" extent. annotateddurationrz4"annotated" was approximated by [0, audio duration]. annotationz"annotated" was approximated by "annotation" extent. Please provide "annotated" directly, or at the very least, use a "duration" preprocessor.) ImportErrorrrwarningswarn get_timelineextent) current_filerrmsgr rrr get_annotatedNs&     r#cCs|d}|d|S)zReturn unique label identifier Parameters ---------- label : str Database-internal label current_file Yielded by pyannote.database protocols Returns ------- unique_label : str Global label r |r)labelr!r rrrget_label_identifier~s r&SPEAKERc Csgd}ttttd}tj|||ddd}t}|dD]-\}}t|d}|D]\} } | j|kr4q*t | j | j | j } | j || | f<q*|||<q|S)a^Load RTTM file Parameter --------- file_rttm : `str` Path to RTTM file. keep_type : str, optional Only keep lines with this type (field #1 in RTTM specs). Defaults to "SPEAKER". Returns ------- annotations : `dict` Speaker diarization as a {uri: pyannote.core.Annotation} dictionary. ) typerNA2startrNA3NA4speakerNA5NA6rr*rr-\s+Tnamesdtypesepkeep_default_narr) strfloatpdread_csvdictgroupbyriterrowsr(rr*rr-) file_rttm keep_typer3r4data annotationsrturnsriturnsegmentrrr load_rttms&    rGc Csttttd}tj|dgd|t|d}t}|dD]$\}}t|d}|D]\}}t |j |j } |j || |f<q*|||<q|S)zLoad STM file (speaker-info only) Parameter --------- file_stm : str Path to STM file Returns ------- annotations : `dict` Speaker diarization as a {uri: pyannote.core.Annotation} dictionary. )rr-r*endr1)r)r5usecolsr4r3rr7) r8r9r:r;listr<r=rr>rr*rHr-) file_stmr4rArBrrCrrDrErFrrrload_stms   rOc Csgd}ttttd}tj|||ddd}t}|dD]'\}}t|d}|D]\}} t| j | j | j } | j || |f<q*|||<q|S)zLoad MDTM file Parameter --------- file_mdtm : `str` Path to MDTM file. Returns ------- annotations : `dict` Speaker diarization as a {uri: pyannote.core.Annotation} dictionary. )rNA1r*rr)r+r,r-r0r1Fr2rr7) r8r9r:r;r<r=rr>rr*rr-) file_mdtmr3r4rArBrrCrrDrErFrrr load_mdtms"  rRcCsfgd}tttd}tj|||dd}t}|dD]\}}dd|D}t||d||<q|S) zLoad UEM file Parameter --------- file_uem : `str` Path to UEM file. Returns ------- timelines : `dict` Evaluation map as a {uri: pyannote.core.Timeline} dictionary. )rrPr*rH)rr*rHr1r3r4r5rcSsg|] \}}t|j|jqSr)rr*rH).0rDpartrrr szload_uem..)segmentsr)r8r9r:r;r<r=r>r)file_uemr3r4rA timelinesrpartsrWrrrload_uem s r[rreturnc Csbgd}tttd}tj|||dd}t|d}|D]\}}t|j|j}|j |||f<q|S)zLoad LAB file Parameter --------- file_lab : `str` Path to LAB file Returns ------- data : `pyannote.core.Annotation` )r*rHr%r1rSr7) r9r8r:r;rr>rr*rHr%) pathrr3r4rArrDrErFrrrload_lab&s  r^cCsBt|dd }|}Wdn1swYdd|DS)zLoad LST file LST files provide a list of URIs (one line per URI) Parameter --------- file_lst : `str` Path to LST file. Returns ------- uris : `list` List or uris rmodeNcSsg|]}|qSr)strip)rTlinerrrrVQszload_lst..)open readlines)file_lstfplinesrrrload_lst?s ricCsbt|dd }|}Wdn1swYt}|D]}|^}}}|||<q|S)zLoad mapping file Parameter --------- mapping_txt : `str` Path to mapping file Returns ------- mapping : `dict` {1st field: 2nd field} dictionary r_r`N)rdrer<rbsplit) mapping_txtrgrhmappingrckeyvalueleftrrr load_mappingTs  rpc@s"eZdZdZdddZddZdS) LabelMapperaLabel mapper for use as pyannote.database preprocessor Parameters ---------- mapping : `dict` Mapping dictionary as used in `Annotation.rename_labels()`. keep_missing : `bool`, optional In case a label has no mapping, a `ValueError` will be raised. Set "keep_missing" to True to keep those labels unchanged instead. Usage ----- >>> mapping = {'Hadrien': 'MAL', 'Marvin': 'MAL', ... 'Wassim': 'CHI', 'Herve': 'GOD'} >>> preprocessors = {'annotation': LabelMapper(mapping=mapping)} >>> protocol = registry.get_protocol('AMI.SpeakerDiarization.MixHeadset', preprocessors=preprocessors) FcCs||_||_dSN)rl keep_missing)selfrlrsrrr__init__s zLabelMapper.__init__cCsX|js#t|dt|j}|r#|js#|}d|d}t||dj|jdS)NrzNo mapping found for label "z=". Set "keep_missing" to True to keep labels with no mapping.)rl)rssetlabelsrlpop ValueError rename_labels)rtr!missingr%r"rrr__call__s  zLabelMapper.__call__N)F)__name__ __module__ __qualname____doc__rur|rrrrrqms  rq)r'rr) yamlpathlibrrpandasr: pyannote.corerrrprotocol.protocolrtypingrr r r DatabaseName PathTemplaterr#r&rGrOrRr[r8r^rirpobjectrqrrrrs.      !0 3"#