i9 dZddlZddlZddlZddlZddlmZmZmZm Z m Z m Z m Z  ddlm Z e dZddddZe d Ze d ge fZee efZGd d ej*j,ZGd d Zy#e$r ddlm Z YVwxYw)z ######### Protocols ######### N)UnionDictIteratorCallableAnyTextOptional)Literal)train developmenttesttrndevtst)filedatabaseglobal ProtocolFilecneZdZdZddeedfdefdZdZdZdZ d Z d Z d Z d Z d ZdedfdZy)raProtocol file with lazy preprocessors This is a dict-like data structure where some values may depend on other values, and are only computed if/when requested. Once computed, they are cached and never recomputed again. Parameters ---------- precomputed : dict Regular dictionary with precomputed values lazy : dict, optional Dictionary describing how lazy value needs to be computed. Values are callable expecting a dictionary as input and returning the computed value. N precomputedlazyc| t}t|trvt||_t |j t |zD]}|||j|<t|j }|j|||_n t||_t||_tj|_ tj|_ yN)dict isinstancerabs_storesetrupdate threadingRLocklock_ collectionsCounter evaluating_)selfrrkey compound_lazys x/Volumes/fast/ai/experiments/voice-extract-mac/.venv/lib/python3.12/site-packages/pyannote/database/protocol/protocol.py__init__zProtocolFile.__init__Is <6D k< 0!$K 0DK ;++,s4y8#.s#3 C 9!!1!12M   &+DI {+DKT DI__& '..0c6t|j}|d=|S)Nr")r__dict__r&ds r) __getstate__zProtocolFile.__getstate__os   gJr+cl|jj|tj|_yr)r-rr r!r"r.s r) __setstate__zProtocolFile.__setstate__us" Q__& r+cp|j5t|jcdddS#1swYyxYwr)r"rrr&s r)__abs__zProtocolFile.__abs__ys ZZ $ZZs,5c|j5||jvr|j|dk(r|jj|g|j||}|j|=||jvr9||j|k7r'd}t j |j|||j|<|jj|g|j|cdddS#1swYyxYw)NrzEExisting precomputed key "{key}" has been modified by a preprocessor.)r') r"rr%rrwarningswarnformatsubtract)r&r'valuemsgs r) __getitem__zProtocolFile.__getitem__}s ZZdiiD$4$4S$9Q$>  ''.' #t,IIcN$++%%4;;s3C*CaCMM#***"56$) C   ))3%0;;s#/ZZs CC66C?c|j5||jvr |j|=||j|<dddy#1swYyxYwrr"rr)r&r'r;s r) __setitem__zProtocolFile.__setitem__s8 ZZdiiIIcN$DKK  ZZs +AA c|j5||jvr |j|=|j|=dddy#1swYyxYwrr?)r&r's r) __delitem__zProtocolFile.__delitem__s6 ZZdiiIIcN C ZZs )?Ac#K|j5t|j}|D]}|t|j}|D]}||jvr| dddy#1swYyxYwwr)r"listrr)r& store_keysr' lazy_keyss r)__iter__zProtocolFile.__iter__s` ZZdkk*J! "TYYI $++% !ZZs A5AA) A5)A2.A5c|j5tt|jt|jzcdddS#1swYyxYwr)r"lenrrrr4s r)__len__zProtocolFile.__len__s1 ZZs4;;'#dii.89ZZs 4A  Areturnc #&K|d}t|ts|yt|}d|i}t|j D]g\}}|dk(r t|tst j |||<5t||k7r d|d|dt|d}t||||<it|j}t|jD]/}tt||} t| |j1yw)a>Iterate over all files When `current_file` refers to only one file, yield it and return. When `current_file` refers to a list of file (i.e. 'uri' is a list), yield each file separately. Examples -------- >>> current_file = ProtocolFile({ ... 'uri': 'my_uri', ... 'database': 'my_database'}) >>> for file in current_file.files(): ... print(file['uri'], file['database']) my_uri my_database >>> current_file = { ... 'uri': ['my_uri1', 'my_uri2', 'my_uri3'], ... 'database': 'my_database'} >>> for file in current_file.files(): ... print(file['uri'], file['database']) my_uri1 my_database my_uri2 my_database my_uri3 my_database uriNz#Mismatch between number of "uris" (z) and number of "z" (z).)rrDrIritems itertoolsrepeat ValueErrorkeyszipvaluesrrr) r&urisn_urisrr'r;r<rRrTprecomputed_ones r)fileszProtocolFile.filess8E{$%J Tdm d)//+JCe|eT*#,#3#3E#: C u:'=fXF**-c#e*RA%S/)#( C ,"K$$&';--/0F"3tV#45O : :1sDDr)__name__ __module__ __qualname____doc__rrr*r0r2r5r=r@rBrGrJrrXr+r)rr7s^"#1E$*>$?#1t#1L '%$4%! ::;x/:;r+ceZdZdZddeeffd Zdeee fde fdZ dZ de eee ffdZ de eee ffd Zde eee ffd Zd ede e fd Zde e fd Zde e fdZde e fdZde e fdZxZS)Protocola Experimental protocol An experimental protocol usually defines three subsets: a training subset, a development subset, and a test subset. An experimental protocol can be defined programmatically by creating a class that inherits from Protocol and implements at least one of `train_iter`, `development_iter` and `test_iter` methods: >>> class MyProtocol(Protocol): ... def train_iter(self) -> Iterator[Dict]: ... yield {"uri": "filename1", "any_other_key": "..."} ... yield {"uri": "filename2", "any_other_key": "..."} `{subset}_iter` should return an iterator of dictionnaries with - "uri" key (mandatory) that provides a unique file identifier (usually the filename), - any other key that the protocol may provide. It can then be used in Python like this: >>> protocol = MyProtocol() >>> for file in protocol.train(): ... print(file["uri"]) filename1 filename2 An experimental protocol can also be defined using `pyannote.database` configuration file, whose (configurable) path defaults to "~/database.yml". ~~~ Content of ~/database.yml ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Protocols: MyDatabase: Protocol: MyProtocol: train: uri: /path/to/collection.lst any_other_key: ... # see custom loader documentation ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ where "/path/to/collection.lst" contains the list of identifiers of the files in the collection: ~~~ Content of "/path/to/collection.lst ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ filename1 filename2 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ It can then be used in Python like this: >>> from pyannote.database import registry >>> protocol = registry.get_protocol('MyDatabase.Protocol.MyProtocol') >>> for file in protocol.train(): ... print(file["uri"]) filename1 filename2 This class is usually inherited from, but can be used directly. Parameters ---------- preprocessors : dict Preprocess protocol files so that `file[key] = preprocessors[key](file)` for each key in `preprocessors`. In case `preprocessors[key]` is not callable, it should be a string containing placeholders for `file` keys (e.g. {'audio': '/path/to/{uri}.wav'}) preprocessorsc@t|| t}t|_|j D]`\}}t |r||j|<!t |tr t|fd}||j|<Qd|d}t|y)Nc(jdi|S)Nr])r9) current_filepreprocessor_copys r)funczProtocol.__init__..funcKs3,33ClCCr+"z2" preprocessor is neither a callable nor a string.) superr*rr`rNcallablerstrrQ)r&r`r' preprocessorrer<rd __class__s @r)r*zProtocol.__init__:s    FM!V!.!4!4!6 C %*6""3'L#.$' $5!D+/""3'#PQ o%#"7r+rcrKc0t||jS)N)r)rr`)r&rcs r) preprocesszProtocol.preprocessTsLt/A/ABBr+c|jSr)r\r4s r)__str__zProtocol.__str__Ws ||r+ct)z)Iterate over files in the training subsetNotImplementedErrorr4s r) train_iterzProtocol.train_iterZ !##r+ct)z,Iterate over files in the development subsetrqr4s r)development_iterzProtocol.development_iter^rtr+ct)z%Iterate over files in the test subsetrqr4s r) test_iterzProtocol.test_iterbrtr+subsetc#K t||d}|D]}|j |y#ttf$r@t|} t||d}n#t$rd|d}t|wxYwYiwxYww)N_iterzProtocol does not implement a z subset.)getattrAttributeErrorrrLEGACY_SUBSET_MAPPINGrm)r&ryrX subset_legacyr<rs r) subset_helperzProtocol.subset_helperfs /3GDVHE"235ED//$' ' 34 / 2&9M />u&=>@! /6vhhG)#.. / /s=B3BB A! B!A<<B?BBBc$|jdS)Nr rr4s r)r zProtocol.trainys!!'**r+c$|jdS)Nr rr4s r)r zProtocol.development|s!!-00r+c$|jdS)Nr rr4s r)r z Protocol.tests!!&))r+c#Kddlm}t}dD]]tsfd}|D]>}d|vr|j D]$}||}||vr||j |&@_yw)z$Iterate over all files in `protocol`r)get_unique_identifier) r development_enrolmentdevelopment_trialr test_enrolment test_trialr train_enrolment train_trialc3nK tD]}|y#ttf$rYywxYwwr)r|r}rr)rmethodr&s r)iteratezProtocol.files..iterates> 5f 5 7" !8&(;<s5 52525rMN)pyannote.database.utilrrhasattrrXadd)r&r yielded_urisrrc current_file_rMrs` @r)rXzProtocol.filess Au   F4( !(  ,%1%7%7%9M0 >Cl* '' $$S)&:!*-  sA4A8r)rYrZr[r\r Preprocessorsr*rrrrmrorrsrvrxSubsetrr r r rX __classcell__)rks@r)r_r_sBH&h}&=&4CuT<-?'@C\C$HU4+=%>?$$(5|1C+D"E$$8E$ *<$=>$(F(x /E(&+x -+1Xl31*h|,*0*x -0*r+r_)r\r7r#r rOtypingrrrrrrr r ImportErrortyping_extensionsrr~Scope PreprocessorrabcMutableMappingrr_r]r+r)rs:GGG* / 0"'uM,-(#-. T<'( {;;??11{;|}*}*S*)*sA55 BB