ó
    ¤ó�jU  ã                   ó>   • S SK r S SKrS SKrS SKrS SKrS SKJr  S rg)é    N)Úmetadatac                  ó€  • [         R                  " [        5      n [         R                  " 5       n[         R                  " SSS9nUR                  U5        U R                  U5        [        R                  " SS S9nUR                  SSS	[        R                  S
9  [        R                  " S5      R                  nSnSnSnSnSn	UR                  S5      n
U
R                  SSSSU 3US9  U
R                  SSSUS9  U
R                  SSSUS9  U
R                  SSSUS9  U
R                  SS U	S!9  U
R                  S"S#S$9  U
R                  S%[        S&S'9  U
R                  S(S)S*/S)S+S,9  S-nS.nS/nS0nS1nS2nS3nUR                  S45      nUR                  S5S6S7US!9  UR                  S8S9S:US;9  UR                  S<S=US!9  UR                  S>S:US!9  UR                  S?S:US!9  UR                  S@SAUS!9  UR                  SBSUS9  SCnSDnSEnSFnSGnSHnSInSJnSKnSLnSMnSNnSOnSPn SQn!SRn"UR                  SS5      n#U#R                  STSUS9  U#R                  SU[         SVUSW9  U#R                  SX[         SYUSW9  U#R                  SZS:US!9  U#R                  S[[        S\USW9  U#R                  S]SUS9  U#R#                  5       n$U$R                  S^SUS9  U$R                  S_SUS9  U#R                  S`SUS9  U#R                  SaSUS9  U#R                  Sb[         S:USW9  U#R                  ScS:/ SdQUSe9  U#R                  SfS9[         S:USg9  U#R                  ShS:U S!9  U#R                  SiSU!S9  U#R                  Sj[$        R&                  S:U"SW9  Skn%Sln&Smn'Snn(Son)UR                  Sp5      n*U*R                  Sq[        SrU%SW9  U*R                  Ss[         StU&SW9  U*R                  Su[        SvU'SW9  U*R                  Sw[        SxU(SW9  U*R                  SySU)S9  Szn+S{n,S|n-S}n.S~n/Sn0S€n1UR                  S�5      n2U2R                  S‚[        SvU+SW9  U2R                  Sƒ[        S„U,SW9  U2R                  S…[        S†U-SW9  U2R                  S‡SU.S9  U2R                  SˆSU/S9  U2R                  S‰SU0S9  U2R                  SŠ[         S‹U1SW9  SŒn3S�n4SŽn5S�n6UR                  S�5      n7U7R                  S‘[(        S’U3SW9  U7R                  S“[        S”U4SW9  U7R                  S•[         StU5SW9  U7R                  S–[*        S—U6SW9  S˜n8S™n9Sšn:S›n;Sœn<UR                  S�5      n=U=R                  Sž[        SrU8SW9  U=R                  SŸSU9S9  U=R                  S [        S:U:SW9  U=R                  S¡[        S:U;SW9  U=R                  S¢[        S£U<SW9  UR-                  5       n>U>R.                  (       a  [         R0                  n?O([3        [         U>R4                  R7                  5       5      n?U R9                  U?5        U>R:                  (       a#  S£S¤KJn@  U@" 5       nA[@        RB                  " S£5        U>RD                  (       Ga9  S£S¤KJn@  U@" S—S¥9nAU>RF                  S*:X  a0  WARI                  5       nB[K        [$        RL                  " UBS”S¦95        GO×WARO                  U>RP                  S§9nCU>RR                  (       a?  U>RR                  S£:”  a/  [U        [W        WCRY                  5       5      S:U>RR                   5      nC[[        []        S¨5      [[        S© WCR_                  5        5       5      5      nD[[        []        Sª5      [[        S« UCRa                  5        5       5      5      nE[[        []        S¬5      [[        S­ UCRa                  5        5       5      5      nF[[        []        S®5      [[        S¯ UCRa                  5        5       5      5      nGUDUE-   UF-   UG-   S°-   nH[K        S±UH-  5        [K        S¨S²UD 3 S³SªS²UE 3 S³S¬S²UF 3 S³S® 35        [K        S±UH-  5        UCRY                  5        HB  u  nInJS´Rc                  UJSµ   5      nK[K        UIS²WD 3 S³UJS¶   S²WE 3 S³UKS²WF 3 S³UJS·    35        MD     [@        RB                  " S£5        U>Rd                  (       GaÈ  S£S¤KJn@  U@" S—S¥9nAUARg                  5       nLUL(       d!  [K        S¸5        [@        RB                  " S£5        [[        []        S¹5      [[        Sº WLR_                  5        5       5      5      nM[[        []        S»5      [[        S¼ ULRa                  5        5       5      5      nN[]        S½5      nO[[        []        S¾5      [[        S¿ ULRa                  5        5       5      5      nPUMUN-   UO-   UP-   SÀ-   nH[K        S±UH-  5        [K        S¹S²UM 3 S³S»S²UN 3 S³S½S²UO 3 S³S¾ 35        [K        S±UH-  5        ULRY                  5        Hj  u  nQnRURRi                  SÁSÂ5      S:SÃ nS[]        URRi                  SÄ/ 5      5      nTURRi                  SÅSÂ5      nU[K        UQS²WM 3 S³USS²WN 3 S³UTS²WO 3 S³UU 35        Ml     [@        RB                  " S£5        U>Rj                  (       a³  S£S¤KJn@  U>Rl                  /U>Rn                  =(       d    / -   nVW@" UU?U>Rp                  SÆ9nAUV H8  nWU Rs                  SÇU SÈUW SÉU>Rp                   35        WARu                  UW5        M:     U Rs                  SÊS´Rc                  WV5       SË35        [@        RB                  " S£5        [W        [3        U>S/ 5      5      nXUX(       d&  URw                  5         [@        RB                  " Sv5        U Rs                  SÇU SÌS´Rc                  WX5       35        S£S¤KJn@  U@" Sð0 SÍU_SÎU?_SÏU>Rp                  _SÐU>Rx                  _SÑU>Rz                  _SÒU>R|                  _SÓU>R~                  _SÔU>R€                  _SÕU>R‚                  _SÖU>R„                  _S×U>R†                  _SØU>Rˆ                  _SÙU>RŠ                  _SÚU>RŒ                  _SÛU>RŽ                  _SÜU>R�                  _SÝU>R’                  _SÞU>R”                  _SßU>R–                  _SàU>R˜                  _SáU>Rš                  U>Rœ                  U>Rž                  U>R                   U>R¢                  Sâ._SãU>R¤                  U>R¦                  U>R¨                  U>Rª                  U>R¬                  U>R®                  U>R°                  Sä._SåU>R²                  U>R´                  U>R¶                  U>R¸                  Sæ._SçU>Rº                  U>R¼                  U>R¾                  U>RÀ                  U>RÂ                  Sè._6nAU>R˜                  (       a2  U>Rl                  S7:X  a"  U>Rn                  (       d  WARÅ                  5         OFU>Rl                  /U>Rn                  =(       d    / -   nY[]        UY5      Sv:X  a  WYS£   nYWARÅ                  WYSé9   WARÇ                  WXU>RÈ                  Sê9nZWZ(       d'  U RÍ                  Sí5        [@        RB                  " Sv5        U Rs                  SîSïRc                  WZ5       35        g:! [Ê         a3  n[U RÍ                  SëU[ 3S—Sì9  [@        RB                  " Sv5         S:n[A[NŠS:n[A[ff = f)ñzMain entry point for the CLI.zB%(asctime)s.%(msecs)03d - %(levelname)s - %(module)s - %(message)sz%Y-%m-%d %H:%M:%S)ÚfmtÚdatefmtz)Separate audio file into different stems.c                 ó,   • [         R                  " U SS9$ )Né<   )Úmax_help_position)ÚargparseÚRawTextHelpFormatter)Úprogs    Ú§C:\Users\johnn\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\LocalCache\local-packages\Python313\site-packages\audio_separator/utils/cli.pyÚ<lambda>Úmain.<locals>.<lambda>   s,   € ô  |D÷  |Yò  |Yð  Z^ð  rtò  |uó    )ÚdescriptionÚformatter_classÚaudio_filesÚ*zDThe audio file paths or directory to separate, in any common format.)ÚnargsÚhelpÚdefaultzaudio-separatorz+Show the program's version number and exit.z6Enable debug logging, equivalent to --log_level=debug.z'Print environment information and exit.zzList all supported models and exit. Use --list_filter to filter/sort the list and --list_limit to show only top N results.z<Log level, e.g. info, debug, warning (default: %(default)s).zInfo and Debuggingz-vz	--versionÚversionz	%(prog)s )Úactionr   r   z-dz--debugÚ
store_true)r   r   z-ez
--env_infoz-lz--list_modelsz--log_levelÚinfo)r   r   z--list_filterzbFilter and sort the model list by 'name', 'filename', or any stem e.g. vocals, instrumental, drums)r   z--list_limitz Limit the number of models shown)Útyper   z--list_formatÚprettyÚjsonzRFormat for listing models: 'pretty' for formatted output, 'json' for raw JSON dump)Úchoicesr   r   zKModel to use for separation (default: %(default)s). Example: -m model1.ckptztAdditional models for ensembling. Requires -m for the primary model. Example: --extra_models model2.onnx model3.ckptziOutput format for separated files, any common format (default: %(default)s). Example: --output_format=MP3zxOutput bitrate for separated files, any ffmpeg-compatible bitrate (default: %(default)s). Example: --output_bitrate=320kz^Directory to write output files (default: <current dir>). Example: --output_dir=/app/separatedzModel files directory (default: %(default)s or AUDIO_SEPARATOR_MODEL_DIR env var if set). Example: --model_file_dir=/app/modelszADownload a single model file only, without performing separation.zSeparation I/O Paramsz-mz--model_filenamez)model_bs_roformer_ep_317_sdr_12.9755.ckptz--extra_modelsÚ+N)r   r   r   z--output_formatÚFLACz--output_bitratez--output_dirz--model_file_dirz/tmp/audio-separator-models/z--download_model_onlyzWInvert secondary stem using spectrogram (default: %(default)s). Example: --invert_spectznMax peak amplitude to normalize input and output audio to (default: %(default)s). Example: --normalization=0.7zlMin peak amplitude to amplify input and output audio to (default: %(default)s). Example: --amplification=0.4zzOutput only single stem, e.g. Instrumental, Vocals, Drums, Bass, Guitar, Piano, Other. Example: --single_stem=Instrumentalz_Modify the sample rate of the output audio (default: %(default)s). Example: --sample_rate=44100zTUse soundfile to write audio output (default: %(default)s). Example: --use_soundfilezSUse PyTorch autocast when supported (default: %(default)s). Example: --use_autocastz”Use native float16 for verified model/device combinations (default: %(default)s). Mutually exclusive with --use_autocast. Example: --use_native_fp16zÒCompile verified repeated model blocks when supported (default: %(default)s). Best for long inputs or repeated same-shape runs; a fresh compiler cache can make the first run slower. Example: --use_torch_compilez‹Use DirectML for hardware-accelerated inference on Windows AMD/Intel GPUs (experimental; requires the 'dml' extra). Example: --use_directmla'  Split audio into chunks of this duration in seconds (default: %(default)s = no chunking). Useful for processing very long audio files on systems with limited memory. Recommended: 600 (10 minutes) for files >1 hour. Chunks are concatenated without overlap/crossfade. Example: --chunk_duration=600zôAlgorithm to use for ensembling multiple models (default: avg_wave). Choices: avg_wave, median_wave, min_wave, max_wave, avg_fft, median_fft, min_fft, max_fft, uvr_max_spec, uvr_min_spec, ensemble_wav. Example: --ensemble_algorithm=uvr_max_specz‹Weights for ensembling multiple models (default: equal). Number of weights must match number of models. Example: --ensemble_weights 1.0 0.5z§Use a named ensemble preset (e.g. vocal_balanced, karaoke). Presets define models + algorithm. Use --list_presets to see all. Example: --ensemble_preset=vocal_balancedz-List all available ensemble presets and exit.zžCustom names for all output files in JSON format (default: %(default)s). Example: --custom_output_names='{"Vocals": "vocals_output", "Drums": "drums_output"}'zCommon Separation Parametersz--invert_spectz--normalizationgÍÌÌÌÌÌì?)r   r   r   z--amplificationg        z--single_stemz--sample_rateiD¬  z--use_soundfilez--use_autocastz--use_native_fp16z--use_torch_compilez--use_directmlz--chunk_durationz--ensemble_algorithm)Úavg_waveÚmedian_waveÚmin_waveÚmax_waveÚavg_fftÚ
median_fftÚmin_fftÚmax_fftÚuvr_max_specÚuvr_min_specÚensemble_wav)r   r   r   z--ensemble_weights)r   r   r   r   z--ensemble_presetz--list_presetsz--custom_output_nameszsLarger consumes more resources, but may give better results (default: %(default)s). Example: --mdx_segment_size=256zŠAmount of overlap between prediction windows, 0.001-0.999. Higher is better but slower (default: %(default)s). Example: --mdx_overlap=0.25zlLarger consumes more RAM but may process slightly faster (default: %(default)s). Example: --mdx_batch_size=4zŠUsually called stride in neural networks, only change if you know what you're doing (default: %(default)s). Example: --mdx_hop_length=1024zXEnable denoising during separation (default: %(default)s). Example: --mdx_enable_denoisezMDX Architecture Parametersz--mdx_segment_sizeé   z--mdx_overlapg      Ð?z--mdx_batch_sizeé   z--mdx_hop_lengthi   z--mdx_enable_denoisez‰Number of batches to process at a time. Higher = more RAM, slightly faster processing (default: %(default)s). Example: --vr_batch_size=16zˆBalance quality and speed. 1024 = fast but lower, 320 = slower but better quality. (default: %(default)s). Example: --vr_window_size=320zŒIntensity of primary stem extraction, -100 - 100. Typically, 5 for vocals & instrumentals (default: %(default)s). Example: --vr_aggression=2ziEnable Test-Time-Augmentation; slow but improves quality (default: %(default)s). Example: --vr_enable_ttazgMirror the missing frequency range of the output (default: %(default)s). Example: --vr_high_end_processz�Identify leftover artifacts within vocal output; may improve separation for some songs (default: %(default)s). Example: --vr_enable_post_processzlThreshold for post_process feature: 0.1-0.3 (default: %(default)s). Example: --vr_post_process_threshold=0.1zVR Architecture Parametersz--vr_batch_sizez--vr_window_sizei   z--vr_aggressioné   z--vr_enable_ttaz--vr_high_end_processz--vr_enable_post_processz--vr_post_process_thresholdgš™™™™™É?z”Size of segments into which the audio is split, 1-100. Higher = slower but better quality (default: %(default)s). Example: --demucs_segment_size=256zNumber of predictions with random shifts, higher = slower but better quality (default: %(default)s). Example: --demucs_shifts=4zŠOverlap between prediction windows, 0.001-0.999. Higher = slower but better quality (default: %(default)s). Example: --demucs_overlap=0.25z_Enable segment-wise processing (default: %(default)s). Example: --demucs_segments_enabled=FalsezDemucs Architecture Parametersz--demucs_segment_sizeÚDefaultz--demucs_shiftsé   z--demucs_overlapz--demucs_segments_enabledTztLarger consumes more resources, but may give better results (default: %(default)s). Example: --mdxc_segment_size=256zyOverride model default segment size instead of using the model default value. Example: --mdxc_override_model_segment_sizez‘Number of overlapping prediction windows, 2-50. Higher is better but slower (default: model config, falling back to 8). Example: --mdxc_overlap=8z�Larger consumes more RAM but may process slightly faster (default: model config, falling back to 1). Example: --mdxc_batch_size=4z›Shift audio pitch by a number of semitones while processing. May improve output for deep/high vocals. (default: %(default)s). Example: --mdxc_pitch_shift=2zMDXC Architecture Parametersz--mdxc_segment_sizez"--mdxc_override_model_segment_sizez--mdxc_overlapz--mdxc_batch_sizez--mdxc_pitch_shiftr   )Ú	Separator)Ú	info_only)Úindent)Úfilter_sort_byzModel Filenamec              3   ó8   #   • U  H  n[        U5      v •  M     g 7f©N©Úlen)Ú.0Úfilenames     r   Ú	<genexpr>Úmain.<locals>.<genexpr>½   s   é € Ð;hÒZgÈh¼CÀ¿M¸MÒZgùó   ‚ÚArchc              3   ó>   #   • U  H  n[        US    5      v •  M     g7f)ÚTypeNr8   ©r:   r   s     r   r<   r=   ¾   s   é € Ð-\ÊOÀD¬c°$°v±,×.?Ð.?ÊOùó   ‚zOutput Stems (SDR)c              3   ó\   #   • U  H"  n[        S R                  US   5      5      v •  M$     g7f)ú, ÚStemsN)r9   ÚjoinrB   s     r   r<   r=   ¿   s)   é € Ð<wÒgvÐ_c¼SÀÇÁÈ4ÐPWÉ=ÓAY×=ZÐ=ZÒgvùs   ‚*,zFriendly Namec              3   ó>   #   • U  H  n[        US    5      v •  M     g7f)ÚNameNr8   rB   s     r   r<   r=   À   s   é € Ð6eÒUdÈT´s¸4À¹<×7HÐ7HÒUdùrC   é   Ú-Ú<z  rE   rF   rA   rI   zNo ensemble presets available.z	Preset IDc              3   ó8   #   • U  H  n[        U5      v •  M     g 7fr7   r8   )r:   Úks     r   r<   r=   Ú   s   é € Ð,Lº^¸¬S°¯V¨Vº^ùr>   ÚDescriptionc              3   ó^   #   • U  H#  n[        UR                  S S5      SS 5      v •  M%     g7f)r   Ú Nr   ©r9   Úget©r:   Úps     r   r<   r=   Û   s-   é € Ð0nÒ]mÐXY´°Q·U±U¸=È"Ó5MÈcÈrÐ5R×1SÐ1SÒ]mùs   ‚+-ÚModelsÚ	Algorithmc              3   óX   #   • U  H   n[        UR                  S S5      5      v •  M"     g7f)Ú	algorithmrQ   NrR   rT   s     r   r<   r=   Ý   s%   é € Ð.eÒTdÈq¬s°1·5±5¸ÀbÓ3I×/JÐ/JÒTdùs   ‚(*é   r   rQ   r   ÚmodelsrY   )Úlog_formatterÚ	log_levelÚmodel_file_dirzSeparator version z downloading model z to directory zModel z downloaded successfully.z beginning with input path(s): r\   r]   r^   Ú
output_dirÚoutput_formatÚoutput_bitrateÚnormalization_thresholdÚamplification_thresholdÚoutput_single_stemÚinvert_using_specÚsample_rateÚuse_soundfileÚuse_autocastÚuse_native_fp16Úuse_torch_compileÚuse_directmlÚchunk_durationÚensemble_algorithmÚensemble_weightsÚensemble_presetÚ
mdx_params)Ú
hop_lengthÚsegment_sizeÚoverlapÚ
batch_sizeÚenable_denoiseÚ	vr_params)rt   Úwindow_sizeÚ
aggressionÚ
enable_ttaÚenable_post_processÚpost_process_thresholdÚhigh_end_processÚdemucs_params)rr   Úshiftsrs   Úsegments_enabledÚmdxc_params)rr   rt   rs   Úoverride_model_segment_sizeÚpitch_shift)Úmodel_filename)Úcustom_output_nameszSeparation failed: )Úexc_infou9   Separation produced no output files â€” see errors above.z%Separation complete! Output file(s): Ú © )gÚloggingÚ	getLoggerÚ__name__ÚStreamHandlerÚ	FormatterÚsetFormatterÚ
addHandlerr
   ÚArgumentParserÚadd_argumentÚSUPPRESSr   Údistributionr   Úadd_argument_groupÚintÚfloatÚadd_mutually_exclusive_groupr   ÚloadsÚstrÚboolÚ
parse_argsÚdebugÚDEBUGÚgetattrr]   ÚupperÚsetLevelÚenv_infoÚaudio_separator.separatorr2   ÚsysÚexitÚlist_modelsÚlist_formatÚlist_supported_model_filesÚprintÚdumpsÚget_simplified_model_listÚlist_filterÚ
list_limitÚdictÚlistÚitemsÚmaxr9   ÚkeysÚvaluesrG   Úlist_presetsÚlist_ensemble_presetsrS   Údownload_model_onlyrƒ   Úextra_modelsr^   r   Údownload_model_and_dataÚ
print_helpr_   r`   ra   ÚnormalizationÚamplificationÚsingle_stemÚinvert_spectrf   rg   rh   ri   rj   rk   rl   rm   rn   ro   Úmdx_hop_lengthÚmdx_segment_sizeÚmdx_overlapÚmdx_batch_sizeÚmdx_enable_denoiseÚvr_batch_sizeÚvr_window_sizeÚvr_aggressionÚvr_enable_ttaÚvr_enable_post_processÚvr_post_process_thresholdÚvr_high_end_processÚdemucs_segment_sizeÚdemucs_shiftsÚdemucs_overlapÚdemucs_segments_enabledÚmdxc_segment_sizeÚmdxc_batch_sizeÚmdxc_overlapÚ mdxc_override_model_segment_sizeÚmdxc_pitch_shiftÚ
load_modelÚseparater„   Ú	ExceptionÚerror)\ÚloggerÚlog_handlerr\   ÚparserÚpackage_versionÚversion_helpÚ
debug_helpÚenv_info_helpÚlist_models_helpÚlog_level_helpÚinfo_paramsÚmodel_filename_helpÚextra_models_helpÚoutput_format_helpÚoutput_bitrate_helpÚoutput_dir_helpÚmodel_file_dir_helpÚdownload_model_only_helpÚ	io_paramsÚinvert_spect_helpÚnormalization_helpÚamplification_helpÚsingle_stem_helpÚsample_rate_helpÚuse_soundfile_helpÚuse_autocast_helpÚuse_native_fp16_helpÚuse_torch_compile_helpÚuse_directml_helpÚchunk_duration_helpÚensemble_algorithm_helpÚensemble_weights_helpÚensemble_preset_helpÚlist_presets_helpÚcustom_output_names_helpÚcommon_paramsÚprecision_paramsÚmdx_segment_size_helpÚmdx_overlap_helpÚmdx_batch_size_helpÚmdx_hop_length_helpÚmdx_enable_denoise_helprp   Úvr_batch_size_helpÚvr_window_size_helpÚvr_aggression_helpÚvr_enable_tta_helpÚvr_high_end_process_helpÚvr_enable_post_process_helpÚvr_post_process_threshold_helprv   Údemucs_segment_size_helpÚdemucs_shifts_helpÚdemucs_overlap_helpÚdemucs_segments_enabled_helpr}   Úmdxc_segment_size_helpÚ%mdxc_override_model_segment_size_helpÚmdxc_overlap_helpÚmdxc_batch_size_helpÚmdxc_pitch_shift_helpr€   Úargsr]   r2   Ú	separatorÚ
model_listr[   Úfilename_widthÚ
arch_widthÚstems_widthÚ
name_widthÚtotal_widthr;   r   ÚstemsÚpresetsÚid_widthÚ
desc_widthÚmodels_widthÚ
algo_widthÚ	preset_idÚpresetÚdescÚ
num_modelsÚalgoÚmodels_to_downloadÚmodelr   Úmodel_filenamesÚoutput_filesÚes\                                                                                               r   Úmainr&  
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