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Import utilities: Utilities related to imports and our lazy inits.
é    N)ÚOrderedDict)Úchain)Ú
ModuleType)ÚAnyÚUnion)Úis_jinja_available)Úversion)ÚVersionÚparseé   )Úlogging)é   é   >   Ú1ÚONÚYESÚTRUEÚAUTOÚUSE_TFÚ	USE_TORCHÚUSE_FLAXÚUSE_SAFETENSORSÚDIFFUSERS_SLOW_IMPORTÚFALSE)ú>z>=z==z!=z<=ú<zN/AÚtorchzPyTorch version z available.Fz*Disabling PyTorch because USE_TORCH is setÚ	torch_xlazPyTorch XLA version Ú	torch_npuztorch_npu version ÚjaxÚflaxzJAX version z, Flax version ÚsafetensorszSafetensors version z+Disabling Safetensors because USE_TF is setÚtransformersz+Successfully imported transformers version Úinflectz&Successfully imported inflect version Ú	unidecodez(Successfully imported unidecode version Úonnxruntime)r%   zonnxruntime-gpuÚort_nightly_gpuzonnxruntime-directmlzonnxruntime-openvinoÚort_nightly_directmlzonnxruntime-rocmzonnxruntime-trainingz*Successfully imported onnxruntime version )zopencv-pythonzopencv-contrib-pythonzopencv-python-headlesszopencv-contrib-python-headlessz"Successfully imported cv2 version Úscipyz$Successfully imported scipy version Úlibrosaz&Successfully imported librosa version Ú
acceleratez)Successfully imported accelerate version Úxformersz1.12zFxformers is installed in your environment and requires PyTorch >= 1.12z'Successfully imported xformers version Úk_diffusionz*Successfully imported k-diffusion version Únote_seqz'Successfully imported note-seq version Úwandbz$Successfully imported wandb version Útensorboardz*Successfully imported tensorboard version Úcompelz%Successfully imported compel version Úftfyz#Successfully imported ftfy version Úbs4Úbeautifulsoup4Útorchsdez'Successfully imported torchsde version Úimwatermarkzinvisible-watermarkz2Successfully imported invisible-watermark version Úpeftz#Successfully imported peft version Útorchvisionz*Successfully imported torchvision version Úsentencepiecez,Successfully imported sentencepiece version Ú
matplotlibz)Successfully imported matplotlib version ÚtimmzTimm version c                   C   ó   t S ©N)Ú_timm_available© r>   r>   úZ/home/ubuntu/SoloSpeech/.venv/lib/python3.10/site-packages/diffusers/utils/import_utils.pyÚis_timm_available@  ó   r@   Úbitsandbytesz+Successfully imported bitsandbytes version zgoogle.colabc                 c   s    | ]}|  d ¡V  qdS )ÚCOLAB_N)Ú
startswith)Ú.0Úkr>   r>   r?   Ú	<genexpr>K  s   € rG   c                   C   r;   r<   )Ú_torch_availabler>   r>   r>   r?   Úis_torch_availableN  rA   rI   c                   C   r;   r<   )Ú_torch_xla_availabler>   r>   r>   r?   Úis_torch_xla_availableR  rA   rK   c                   C   r;   r<   )Ú_torch_npu_availabler>   r>   r>   r?   Úis_torch_npu_availableV  rA   rM   c                   C   r;   r<   )Ú_flax_availabler>   r>   r>   r?   Úis_flax_availableZ  rA   rO   c                   C   r;   r<   )Ú_transformers_availabler>   r>   r>   r?   Úis_transformers_available^  rA   rQ   c                   C   r;   r<   )Ú_inflect_availabler>   r>   r>   r?   Úis_inflect_availableb  rA   rS   c                   C   r;   r<   )Ú_unidecode_availabler>   r>   r>   r?   Úis_unidecode_availablef  rA   rU   c                   C   r;   r<   )Ú_onnx_availabler>   r>   r>   r?   Úis_onnx_availablej  rA   rW   c                   C   r;   r<   )Ú_opencv_availabler>   r>   r>   r?   Úis_opencv_availablen  rA   rY   c                   C   r;   r<   )Ú_scipy_availabler>   r>   r>   r?   Úis_scipy_availabler  rA   r[   c                   C   r;   r<   )Ú_librosa_availabler>   r>   r>   r?   Úis_librosa_availablev  rA   r]   c                   C   r;   r<   )Ú_xformers_availabler>   r>   r>   r?   Úis_xformers_availablez  rA   r_   c                   C   r;   r<   )Ú_accelerate_availabler>   r>   r>   r?   Úis_accelerate_available~  rA   ra   c                   C   r;   r<   )Ú_k_diffusion_availabler>   r>   r>   r?   Úis_k_diffusion_available‚  rA   rc   c                   C   r;   r<   )Ú_note_seq_availabler>   r>   r>   r?   Úis_note_seq_available†  rA   re   c                   C   r;   r<   )Ú_wandb_availabler>   r>   r>   r?   Úis_wandb_availableŠ  rA   rg   c                   C   r;   r<   )Ú_tensorboard_availabler>   r>   r>   r?   Úis_tensorboard_availableŽ  rA   ri   c                   C   r;   r<   )Ú_compel_availabler>   r>   r>   r?   Úis_compel_available’  rA   rk   c                   C   r;   r<   )Ú_ftfy_availabler>   r>   r>   r?   Úis_ftfy_available–  rA   rm   c                   C   r;   r<   )Ú_bs4_availabler>   r>   r>   r?   Úis_bs4_availableš  rA   ro   c                   C   r;   r<   )Ú_torchsde_availabler>   r>   r>   r?   Úis_torchsde_availablež  rA   rq   c                   C   r;   r<   )Ú_invisible_watermark_availabler>   r>   r>   r?   Ú is_invisible_watermark_available¢  rA   rs   c                   C   r;   r<   )Ú_peft_availabler>   r>   r>   r?   Úis_peft_available¦  rA   ru   c                   C   r;   r<   )Ú_torchvision_availabler>   r>   r>   r?   Úis_torchvision_availableª  rA   rw   c                   C   r;   r<   )Ú_matplotlib_availabler>   r>   r>   r?   Úis_matplotlib_available®  rA   ry   c                   C   r;   r<   )Ú_safetensors_availabler>   r>   r>   r?   Úis_safetensors_available²  rA   r{   c                   C   r;   r<   )Ú_bitsandbytes_availabler>   r>   r>   r?   Úis_bitsandbytes_available¶  rA   r}   c                   C   r;   r<   )Ú_is_google_colabr>   r>   r>   r?   Úis_google_colabº  rA   r   c                   C   r;   r<   )Ú_sentencepiece_availabler>   r>   r>   r?   Úis_sentencepiece_available¾  rA   r   zÍ
{0} requires the FLAX library but it was not found in your environment. Checkout the instructions on the
installation page: https://github.com/google/flax and follow the ones that match your environment.
z
{0} requires the inflect library but it was not found in your environment. You can install it with pip: `pip install
inflect`
zÚ
{0} requires the PyTorch library but it was not found in your environment. Checkout the instructions on the
installation page: https://pytorch.org/get-started/locally/ and follow the ones that match your environment.
z‡
{0} requires the onnxruntime library but it was not found in your environment. You can install it with pip: `pip
install onnxruntime`
z„
{0} requires the OpenCV library but it was not found in your environment. You can install it with pip: `pip
install opencv-python`
z{
{0} requires the scipy library but it was not found in your environment. You can install it with pip: `pip install
scipy`
zÞ
{0} requires the librosa library but it was not found in your environment.  Checkout the instructions on the
installation page: https://librosa.org/doc/latest/install.html and follow the ones that match your environment.
z‰
{0} requires the transformers library but it was not found in your environment. You can install it with pip: `pip
install transformers`
zƒ
{0} requires the unidecode library but it was not found in your environment. You can install it with pip: `pip install
Unidecode`
z‡
{0} requires the k-diffusion library but it was not found in your environment. You can install it with pip: `pip
install k-diffusion`
z
{0} requires the note-seq library but it was not found in your environment. You can install it with pip: `pip
install note-seq`
z{
{0} requires the wandb library but it was not found in your environment. You can install it with pip: `pip
install wandb`
z‡
{0} requires the tensorboard library but it was not found in your environment. You can install it with pip: `pip
install tensorboard`
z}
{0} requires the compel library but it was not found in your environment. You can install it with pip: `pip install compel`
zØ
{0} requires the Beautiful Soup library but it was not found in your environment. You can install it with pip:
`pip install beautifulsoup4`. Please note that you may need to restart your runtime after installation.
a8  
{0} requires the ftfy library but it was not found in your environment. Checkout the instructions on the
installation section: https://github.com/rspeer/python-ftfy/tree/master#installing and follow the ones
that match your environment. Please note that you may need to restart your runtime after installation.
z
{0} requires the torchsde library but it was not found in your environment. You can install it with pip: `pip install torchsde`
zž
{0} requires the invisible-watermark library but it was not found in your environment. You can install it with pip: `pip install invisible-watermark>=0.2.0`
zy
{0} requires the peft library but it was not found in your environment. You can install it with pip: `pip install peft`
z‡
{0} requires the safetensors library but it was not found in your environment. You can install it with pip: `pip install safetensors`
z‹
{0} requires the sentencepiece library but it was not found in your environment. You can install it with pip: `pip install sentencepiece`
z‰
{0} requires the bitsandbytes library but it was not found in your environment. You can install it with pip: `pip install bitsandbytes`
ÚonnxÚopencvÚinvisible_watermarkc                    sª   t |ttfƒs
|g}t| dƒr| jn| jj‰ dd„ |D ƒ}‡ fdd„|D ƒ}|r/td |¡ƒ‚ˆ dv r@tdd	ƒr@td
ˆ › dƒ‚ˆ dv rQtddƒrStdˆ › dƒ‚d S d S )NÚ__name__c                 s   s    | ]}t | V  qd S r<   )ÚBACKENDS_MAPPING)rE   Úbackendr>   r>   r?   rG   c  s   € z$requires_backends.<locals>.<genexpr>c                    s    g | ]\}}|ƒ s|  ˆ ¡‘qS r>   )Úformat)rE   Ú	availableÚmsg©Únamer>   r?   Ú
<listcomp>d  s     z%requires_backends.<locals>.<listcomp>Ú )Ú%VersatileDiffusionTextToImagePipelineÚVersatileDiffusionPipelineÚ$VersatileDiffusionDualGuidedPipelineÚ%StableDiffusionImageVariationPipelineÚUnCLIPPipeliner   z4.25.0z9You need to install `transformers>=4.25` in order to use z/: 
```
 pip install --upgrade transformers 
```)Ú StableDiffusionDepth2ImgPipelineÚ"StableDiffusionPix2PixZeroPipelinez4.26.0z9You need to install `transformers>=4.26` in order to use )	Ú
isinstanceÚlistÚtupleÚhasattrr…   Ú	__class__ÚImportErrorÚjoinÚis_transformers_version)ÚobjÚbackendsÚchecksÚfailedr>   r‹   r?   Úrequires_backends^  s(   ú
ÿ
ÿ
ÿýr¢   c                       s    e Zd ZdZ‡ fdd„Z‡  ZS )ÚDummyObjectzÂ
    Metaclass for the dummy objects. Any class inheriting from it will return the ImportError generated by
    `requires_backend` each time a user tries to access any method of that class.
    c                    s0   |  d¡r|dvrtƒ  | |¡S t| | jƒ d S )NÚ_)Ú_load_connected_pipesÚ_is_onnx)rD   ÚsuperÚ__getattr__r¢   Ú	_backends)ÚclsÚkey©rš   r>   r?   r¨   ƒ  s   zDummyObject.__getattr__)r…   Ú
__module__Ú__qualname__Ú__doc__r¨   Ú__classcell__r>   r>   r¬   r?   r£   }  s    r£   Úlibrary_or_versionÚ	operationÚrequirement_versionc                 C   sV   |t  ¡ vrtdtt  ¡ ƒ› d|› ƒ‚t | }t| tƒr$tt | ¡ƒ} || t|ƒƒS )aœ  
    Args:
    Compares a library version to some requirement using a given operation.
        library_or_version (`str` or `packaging.version.Version`):
            A library name or a version to check.
        operation (`str`):
            A string representation of an operator, such as `">"` or `"<="`.
        requirement_version (`str`):
            The version to compare the library version against
    z`operation` must be one of z, received )	ÚSTR_OPERATION_TO_FUNCÚkeysÚ
ValueErrorr—   r–   Ústrr
   Úimportlib_metadatar   )r±   r²   r³   r>   r>   r?   Úcompare_versionsŠ  s   
r¹   r   c                 C   s   t ttƒ| |ƒS )a  
    Args:
    Compares the current PyTorch version to a given reference with an operation.
        operation (`str`):
            A string representation of an operator, such as `">"` or `"<="`
        version (`str`):
            A string version of PyTorch
    )r¹   r
   Ú_torch_version©r²   r   r>   r>   r?   Úis_torch_versionž  s   	r¼   c                 C   ó   t sdS tttƒ| |ƒS )a  
    Args:
    Compares the current Transformers version to a given reference with an operation.
        operation (`str`):
            A string representation of an operator, such as `">"` or `"<="`
        version (`str`):
            A version string
    F)rP   r¹   r
   Ú_transformers_versionr»   r>   r>   r?   r   ª  ó   	r   c                 C   r½   )a   
    Args:
    Compares the current Accelerate version to a given reference with an operation.
        operation (`str`):
            A string representation of an operator, such as `">"` or `"<="`
        version (`str`):
            A version string
    F)r`   r¹   r
   Ú_accelerate_versionr»   r>   r>   r?   Úis_accelerate_version¸  r¿   rÁ   c                 C   s   t sdS ttt ƒ| |ƒS )zú
    Args:
    Compares the current PEFT version to a given reference with an operation.
        operation (`str`):
            A string representation of an operator, such as `">"` or `"<="`
        version (`str`):
            A version string
    F)Ú_peft_versionr¹   r
   r»   r>   r>   r?   Úis_peft_versionÆ  r¿   rÃ   c                 C   r½   )a  
    Args:
    Compares the current k-diffusion version to a given reference with an operation.
        operation (`str`):
            A string representation of an operator, such as `">"` or `"<="`
        version (`str`):
            A version string
    F)rb   r¹   r
   Ú_k_diffusion_versionr»   r>   r>   r?   Úis_k_diffusion_versionÔ  r¿   rÅ   c                 C   s0   i }t | ƒD ]}| d¡rqt| |ƒ||< q|S )a  
    Args:
    Returns a dict of object names and values in a module, while skipping private/internal objects
        module (ModuleType):
            Module to extract the objects from.

    Returns:
        dict: Dictionary of object names and corresponding values
    r¤   )ÚdirrD   Úgetattr)ÚmoduleÚobjectsrŒ   r>   r>   r?   Úget_objects_from_moduleâ  s   
rÊ   c                   @   s   e Zd ZdZdS )ÚOptionalDependencyNotAvailablez^An error indicating that an optional dependency of Diffusers was not found in the environment.N)r…   r­   r®   r¯   r>   r>   r>   r?   rË   ö  s    rË   c                       sV   e Zd ZdZd‡ fdd„	Z‡ fdd„Zdedefd	d
„Zdefdd„Z	dd„ Z
‡  ZS )Ú_LazyModulezu
    Module class that surfaces all objects but only performs associated imports when the objects are requested.
    Nc           	         s¢   t ƒ  |¡ t| ¡ ƒ| _i | _| ¡ D ]\}}|D ]}|| j|< qqt| ¡ ƒtt| 	¡ Ž ƒ | _
|| _|| _tj |¡g| _|d u rFi n|| _|| _|| _d S r<   )r§   Ú__init__Úsetrµ   Ú_modulesÚ_class_to_moduleÚitemsr—   r   ÚvaluesÚ__all__Ú__file__Ú__spec__ÚosÚpathÚdirnameÚ__path__Ú_objectsÚ_nameÚ_import_structure)	ÚselfrŒ   Úmodule_fileÚimport_structureÚmodule_specÚextra_objectsr«   rÒ   Úvaluer¬   r>   r?   rÍ     s   ÿ
z_LazyModule.__init__c                    s,   t ƒ  ¡ }| jD ]}||vr| |¡ q|S r<   )r§   Ú__dir__rÓ   Úappend)rÝ   ÚresultÚattrr¬   r>   r?   rã     s   


€z_LazyModule.__dir__rŒ   Úreturnc                 C   sz   || j v r
| j | S || jv r|  |¡}n || j ¡ v r*|  | j| ¡}t||ƒ}ntd| j› d|› ƒ‚t| ||ƒ |S )Nzmodule z has no attribute )	rÚ   rÏ   Ú_get_modulerÐ   rµ   rÇ   ÚAttributeErrorr…   Úsetattr)rÝ   rŒ   râ   rÈ   r>   r>   r?   r¨     s   


z_LazyModule.__getattr__Úmodule_namec              
   C   sL   z
t  d| | j¡W S  ty% } ztd| j› d|› d|› ƒ|‚d }~ww )NÚ.zFailed to import z@ because of the following error (look up to see its traceback):
)Ú	importlibÚimport_moduler…   Ú	ExceptionÚRuntimeError)rÝ   rë   Úer>   r>   r?   rè   )  s   ÿÿý€ÿz_LazyModule._get_modulec                 C   s   | j | j| j| jffS r<   )rš   rÛ   rÔ   rÜ   )rÝ   r>   r>   r?   Ú
__reduce__2  s   z_LazyModule.__reduce__)NN)r…   r­   r®   r¯   rÍ   rã   r·   r   r¨   rè   rò   r°   r>   r>   r¬   r?   rÌ   ú  s    		rÌ   )¼r¯   Úimportlib.utilrí   ÚoperatorÚoprÖ   ÚsysÚcollectionsr   Ú	itertoolsr   Útypesr   Útypingr   r   Úhuggingface_hub.utilsr   Ú	packagingr   Úpackaging.versionr	   r
   rŽ   r   Úversion_infor¸   Úimportlib.metadataÚmetadataÚ
get_loggerr…   ÚloggerÚENV_VARS_TRUE_VALUESÚunionÚENV_VARS_TRUE_AND_AUTO_VALUESÚenvironÚgetÚupperr   r   ÚUSE_JAXr   r   ÚgtÚgeÚeqÚneÚleÚltr´   rº   ÚutilÚ	find_specrH   ÚinfoÚPackageNotFoundErrorrJ   Ú_torch_xla_versionr›   rL   Ú_torch_npu_versionÚ_jax_versionÚ_flax_versionrN   rz   Ú_safetensors_versionrP   r¾   ÚdebugrR   Ú_inflect_versionrT   Ú_unidecode_versionÚ_onnxruntime_versionrV   Ú
candidatesÚpkgÚ_opencv_versionrX   rZ   Ú_scipy_versionr\   Ú_librosa_versionr`   rÀ   r^   Ú_xformers_versionr¶   rb   rÄ   rd   Ú_note_seq_versionrf   Ú_wandb_versionrh   Ú_tensorboard_versionrj   Ú_compel_versionrl   Ú_ftfy_versionrn   Ú_bs4_versionrp   Ú_torchsde_versionrr   Ú_invisible_watermark_versionrt   rÂ   rv   Ú_torchvision_versionr€   Ú_sentencepiece_versionrx   Ú_matplotlib_versionr=   Ú_timm_versionr@   r|   Ú_bitsandbytes_versionÚmodulesÚanyr~   rI   rK   rM   rO   rQ   rS   rU   rW   rY   r[   r]   r_   ra   rc   re   rg   ri   rk   rm   ro   rq   rs   ru   rw   ry   r{   r}   r   r   ÚFLAX_IMPORT_ERRORÚINFLECT_IMPORT_ERRORÚPYTORCH_IMPORT_ERRORÚONNX_IMPORT_ERRORÚOPENCV_IMPORT_ERRORÚSCIPY_IMPORT_ERRORÚLIBROSA_IMPORT_ERRORÚTRANSFORMERS_IMPORT_ERRORÚUNIDECODE_IMPORT_ERRORÚK_DIFFUSION_IMPORT_ERRORÚNOTE_SEQ_IMPORT_ERRORÚWANDB_IMPORT_ERRORÚTENSORBOARD_IMPORT_ERRORÚCOMPEL_IMPORT_ERRORÚBS4_IMPORT_ERRORÚFTFY_IMPORT_ERRORÚTORCHSDE_IMPORT_ERRORÚ INVISIBLE_WATERMARK_IMPORT_ERRORÚPEFT_IMPORT_ERRORÚSAFETENSORS_IMPORT_ERRORÚSENTENCEPIECE_IMPORT_ERRORÚBITSANDBYTES_IMPORT_ERRORr†   r¢   Útyper£   r·   r¹   r¼   r   rÁ   rÃ   rÅ   rÊ   ÚBaseExceptionrË   rÌ   r>   r>   r>   r?   Ú<module>   sÒ  



ÿü

ÿ
ÿ
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ÿû

ÿü

ÿ
ÿ
ÿ

ÿ
ÿ€ÿ
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
ÿ
ÿ
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ÿ
ÿ 
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