
    mi                     j    d dl mZ d dlZd dlZd dlZd dlZd dlZd dlm	Z	 d dlm
Z
 d dlmZ d dlZd Zy)    )PathN)utils)predict)datac            
      0   t        j                  ddt         j                        } | j                  dt        dd       | j                  dd	t        d
       | j                  ddt        d       | j                  dt        d       | j                  dt        dd       | j                  dt
        dd       | j                  dt
        d       | j                  dddd       | j                  d t        d!       | j                  d"t        d#d$       | j                  d%t        d&d'       | j                  d(t        d d)       | j                  d*t        d d+       | j                  d,t        d-d.       | j                  d/ddd0       | j                         }|j                  d1k7  r+|j                  t        j                  |j                         |j                   xr t        j                  j                         }t        j                  |rd2nd3      }|j                   rt#        d4|       |j$                  d nt'        j(                  |j$                        }t+        j,                  |j.                  |j0                  |j2                  |j4                  |j6                  |d|j8                  5      }|j;                          |j=                  |       |j                  d1k(  r	 d6d l}tE        jD                  |jF                        D ]  }|j                  d1k(  r[jI                  ||jJ                  |jL                  |jN                  tP        jR                  8      \  }}	t        jT                  |      }n/tW        jX                  ||jJ                  |jL                  9      \  }}	t[        j\                  ||	|||:      }
|j^                  sta        |j.                        }|jc                         s/ta        ta        |      jd                  d;z   |j.                  z         }nZta        ta        |      jd                  d;z   |jd                  z         }n+ta        |j^                        ta        |      jd                  z  }|jg                  dd<       |j                  d1k(  rt	        |ta        d=      ji                  |jj                        z        }i }|
jm                         D ]Q  \  }}t        jn                  |      jq                         js                         ju                         jv                  ||<   S jy                  |||jN                  |j{                  d|	>      ?       [|
jm                         D ]y  \  }}t	        |ta        |      ji                  |jj                        z        }t        j|                  |t        jn                  |      j=                  d3      |jN                  @       {  y # t@        $ r tC        d7      w xY w)ANzUMX InferenceT)descriptionadd_helpformatter_classinput+z List of paths to wav/flac files.)typenargshelpz--modelumxlzCpath to mode base directory of pretrained models, defaults to UMX-L)defaultr   r   z	--targetsz^provide targets to be processed.               If none, all available targets will be computed)r   r   r   z--outdirz6Results path where audio evaluation results are stored)r   r   z--extz.wavz,Output extension which sets the audio format)r   r   r   z--startg        zAudio chunk start in secondsz
--durationz@Audio chunk duration in seconds, negative values load full trackz	--no-cuda
store_trueFzdisables CUDA inference)actionr   r   z--audio-backendzSets audio backend. Default to torchaudio's default backend: See https://pytorch.org/audio/stable/backend.html(`sox_io`, `sox`, `soundfile` or `stempeg`)z--niter   z*number of iterations for refining results.z--wiener-win-leni,  z:Number of frames on which to apply filtering independentlyz
--residualzSif provided, build a source with given name for the mix minus all estimated targetsz--aggregatezif provided, must be a string containing a valid expression for a dictionary, with keys as output target names, and values a list of targets that are used to build it. For instance: '{"vocals":["vocals"], "accompaniment":["drums","bass","other"]}'z--filterbanktorchzfilterbank implementation method. Supported: `['torch', 'asteroid']`. `torch` is ~30%% faster compared to `asteroid` on large FFT sizes such as 4096. However asteroids stft can be exported to onnx, which makes is practical for deployment.z	--verbosezEnable log messagesstempegcudacpuzUsing )model_str_or_pathtargetsniterresidualwiener_win_lendevice
pretrained
filterbankr   z$Please install pip package `stempeg`)startdurationsample_ratedtype)r!   dur)audiorateaggregate_dict	separatorr   _)exist_okparentstarget)multiprocessoutput_sample_rate)r#   writer)r#   )?argparseArgumentParserRawDescriptionHelpFormatteradd_argumentstrfloatint
parse_argsaudio_backend
torchaudioset_audio_backendno_cudar   r   is_availabler   verboseprint	aggregatejsonloadsr   load_separatormodelr   r   r   r   r    freezetor   ImportErrorRuntimeErrortqdmr   
read_stemsr!   r"   r#   npfloat32tensorr   
load_audior   separateoutdirr   existsstemmkdirwith_suffixextitemssqueezedetachr   numpyTwrite_stemsFilesWritersave)parserargsuse_cudar   r(   r)   r   
input_filer&   r'   	estimates
model_pathrP   target_pathestimates_numpyr-   estimates                    G/var/www/stems/demucs_env/lib/python3.12/site-packages/openunmix/cli.pyrO   rO      s   $$# <<F c;]^
R	   ?	   E   ;	   	sA_`
O   L%Ngh
6   9	   I	   e	   	  	 	  	 "	   DY&4+=+=+I$$T%7%78<<=EJJ$;$;$=H\\H&%8F||h!^^3TDNN9SN $$**jj**??	I LLY&	G
 ii

+ 2
*!,,jj%11jj - KE4 LL'E//*DJJDMMZKE4$$)
	 {{djj)J$$&d:.33c9DJJFGd:.33c9JOOKL$++&j)9)>)>>FdD1 *ftH~'A'A$(('KKLK O$-OO$5 [ */--*A*H*H*J*N*N*P*V*V*X*Z*Z'[ %11**QU*V	    %.OO$5  !&4<+C+CDHH+M"MNMM(+..u5 ) 5 5Y2	  	GEFF	Gs   2X   X)pathlibr   r   r:   rA   rY   rK   rI   	openunmixr   r   r   r1   rO        rg   <module>rl      s)             {rk   