o pil@sxddlZddlmZddlmZddlZddlZddl Z ddl m Z m Z ddlmZddlmZmZGdddeZdS) N)Path)Optional) AssetFileNamedownload_from_hf_hub)IsotonicRegression)NotFittedErrorcheck_is_fittedcseZdZdZfddZ ddejdedejfdd Zd e fd d Z e d e ddfddZ e d e ddfddZe    ddee Bde dBde dBde eBdBdee BdBdedf ddZZS) CalibrationzLogit/distance calibrationcstjddddddS)Ng?autoclip)y_miny_max increasing out_of_bounds)super__init__)self __class__S/home/ubuntu/.local/lib/python3.10/site-packages/pyannote/audio/core/calibration.pyr(szCalibration.__init__@values nan_valuereturncCs*tj|d|d}||}||jS)aApply calibration handling NaN values and any shape gracefully Parameters ---------- values : np.ndarray Values to calibrate nan_value : float, optional Value to use in place of NaN values during calibration. Default is 2.0. Returns ------- calibrated_values : np.ndarray Calibrated values )nan)np nan_to_numreshape transformshape)rrr transformedrrrsafe_transform+s  zCalibration.safe_transformpathcCsPzt|Wn tytdw|j|j|j|j|jd}tj ||dS)a Save fitted calibration to disk Parameters ---------- path : str Path to the file where the calibration should be saved Raises ------ NotFittedError If the calibration is not fitted yet zCannot save an unfitted model.)X_min_X_max_ X_thresholds_ y_thresholds_ increasing_N) rrr&r'r(r)r* safetensorsnumpy save_file)rr% tensor_dictrrrsaveGs  zCalibration.saver.cCs|}|D] \}}t|||qtjjtt|jdg|jt |jdggtd|j g|j d|j ggddd|_ |S)aLoad calibration from a dictionary of tensors Parameters ---------- tensor_dict : dict Dictionary containing the calibration tensors Returns ------- calibration : Calibration Fitted calibration r linearF)kind bounds_error) itemssetattrscipy interpolateinterp1drhstackminr(maxr*r)f_)clsr. calibrationkeyvaluerrrfrom_tensor_dictds(  zCalibration.from_tensor_dictcCstj|}||S)zLoad calibration from disk Parameters ---------- path : str Path to the file where the calibration is saved Returns ------- calibration : Calibration Fitted calibration )r+r, load_filer@)r<r%r.rrr from_files  zCalibration.from_fileN checkpoint subfolderrevisiontoken cache_dircKstj|r$|durtd|rt||tjj}n7t|tjj}n.tj|r5|dur2td|}nt |}d|vrAtdt |tj||||d}|durRdS| |S)aLoad calibration from disk or Huggingface Hub Parameters ---------- checkpoint : Path or str Path to checkpoint or a model identifier from the hf.co model hub. subfolder : str, optional Folder inside the hf.co model repo. revision : str, optional Revision when loading from the huggingface.co model hub. token : str, optional When loading a private hf.co model, set `token` to True or to a string containing your hugginface.co authentication token that can be obtained by running `huggingface-cli login` cache_dir: Path or str, optional Path to model cache directory. Nz0Revisions cannot be used with local checkpoints.@z:Revisions must be passed with `revision` keyword argument.)rDrErGrF) osr%isdir ValueErrorrrr r?isfilestrrrB)r<rCrDrErFrGkwargspath_to_calibration_checkpointrrrfrom_pretraineds8    zCalibration.from_pretrained)r)NNNN)__name__ __module__ __qualname____doc__rrndarrayfloatr$rMr/ classmethoddictr@rBrboolrrP __classcell__rrrrr %sD  '  r )rIpathlibrtypingrr,rsafetensors.numpyr+scipy.interpolater5pyannote.audio.utils.hf_hubrrsklearn.isotonicrsklearn.utils.validationrrr rrrrs