o piG @srddlmZmZddlZddlmZmZmZm Z ddl m Z m Z  d de dedeee fdeed e f d d ZdS) )OptionalUnionN) AnnotationSegment SlidingWindowSlidingWindowFeature)Audio AudioFilefilewindowframes num_speakersreturnc Csd|vr tdd|}n|d}|d}t|ts!td||d}|}t|}|dur/|}||krB||}|dd t|D7}td|j|jd }g} |t d|D],} |j | |||jd } ||kr{t t j | d d  d|} | dd| f} | | qTtt t | |S)aOracle speaker segmentation Simulates inference based on an (imaginary) oracle segmentation model: >>> oracle = Model.from_pretrained("oracle") >>> assert frames == oracle.receptive_field >>> inference = Inference(oracle, duration=window.duration, step=window.step, skip_aggregation=True) >>> oracle_segmentation = inference(file) Parameters ---------- file : AudioFile Audio file with "annotation". window : SlidingWindow Sliding window used for inference (see above) frames : SlidingWindow or float Output resolution of the oracle model (see above) num_speakers : int, optional Override the number of speakers returned by the oracle segmentation model Defaults to the actual number of speakers in the whole file Returns ------- oracle_segmentation : (num_chunks, num_frames, num_speakers) SlidingWindowFeature Oracle segmentation. durationdownmix)mono annotationg)startsteprNcSsg|]}d|dqS))FakeSpeakerForOracleSegmentationInferenced).0irrY/home/ubuntu/.local/lib/python3.10/site-packages/pyannote/audio/pipelines/utils/oracle.py Ps z'oracle_segmentation..)rrr) resolutionlabelsrr)axis)r get_duration isinstancerrlenrangerrr discretizenpargsortsumappendrfloat32stack) r r r r r referenceractual_num_speakers num_missing segmentationschunkchunk_segmentationmost_talkative_indexrrroracle_segmentations>!  r1)N)typingrrnumpyr$ pyannote.corerrrrpyannote.audio.core.iorr floatintr1rrrrs