o Si| @sdZddlZddlZddlZddlZddlZddlZddlm Z ddl m Z m Z m Z ddlmZmZejejdZ dd ed ejd ejed efd dZdd ejedejejeffddZdd ed ejd edefddZddedejejeffddZddZedkredSdS)z0API to compress/decompress audio to bytestreams.N)binary)ArithmeticCoderArithmeticDecoderbuild_stable_quantized_cdf) EncodecModel EncodedFrame) encodec_24khz encodec_48khzTmodelwavfouse_lmc Cs|dks Jd|jtvrtd|jd|r|}t||d}Wdn1s4wY|j|jd|ddjd|d }t |||D]\}}|durh| t d ||j\} } } |rt|} d} d}tjd| dtj|jd }nt |j|}t| D]b}|rt||| |\}} }Wdn1swYd|dddd||df}t|ddd|fD]"\}}|rt|ddd|df| jd d }| ||q||qq|r| qS|qSdS)aCompress a waveform to a file-object using the given model. Args: model (EncodecModel): a pre-trained EncodecModel to use to compress the audio. wav (torch.Tensor): waveform to compress, should have a shape `[C, T]`, with `C` matching `model.channels`, and the proper sample rate (e.g. `model.sample_rate`). Use `utils.convert_audio` if this is not the case. fo (IO[bytes]): file-object to which the compressed bits will be written. See `compress` if you want obtain a `bytes` object instead. use_lm (bool): if True, use a pre-trained language model to further compress the stream using Entropy Coding. This will slow down compression quite a bit, expect between 20 to 30% of size reduction. z$Only single waveform can be encoded.zThe provided model z is not supported.Nrr)malnclm!fdtypedeviceFcheck)dimnameMODELS ValueError get_lm_modeltorchno_gradencodeshaperwrite_ecdc_headerwritestructpackcpuitemrzeroslongr BitPackerbits_per_codebookrange enumeratetolistrtotal_range_bitspushflush)r r r rrframesmetadataframescale_KTcoderstatesoffsetinput_packertprobaskvalueq_cdfrED/home/ubuntu/.local/lib/python3.10/site-packages/encodec/compress.pycompress_to_filesT       ""   rGr(returnc Cst|}|d}|d}|d}|d}t|tsJt|ts#J|tvr/td|dt||}|r=|}g} |jpC|} |j pH|} t d|| D]} t || | } tt | |j|j}|jrtdt|td\}tj||d d }nd }|rt|}d }d} tjd |d tj|d }nt|j|}tjd ||tj|d }t |D]y}|rt|||| \}}} Wd n1swYg}t |D]+}|rt|dd d |df|jd d}| |}n| }|d urt!d|"|qtj|tj|d }||dd d |f<|r(d |d d d d ||d f}q| "||fqOt |#| }Wd n 1sFwY|dd d d |f|jfS)aDecompress from a file-object. Returns a tuple `(wav, sample_rate)`. Args: fo (IO[bytes]): file-object from which to read. If you want to decompress from `bytes` instead, see `decompress`. device: device to use to perform the computations. rrrrz3The audio was compressed with an unsupported model .rrrrNrFrz&The stream ended sooner than expected.)$rread_ecdc_header isinstanceintrrtorsegment_lengthsegment_strider.minmathceil sample_rate frame_rate normalizer&unpack _read_exactlycalcsizer tensorviewrr*r+ BitUnpackerr-r!rr1pullEOFErrorappenddecode)r rr5 model_name audio_length num_codebooksrr rr4rOrPr=this_segment_length frame_lengthscale_fr7decoderr<r>unpackerr6r@rA code_listrBrDcodecodesr rErErFdecompress_from_file\sn        "  rlFcCs t}t||||d|S)aCompress a waveform using the given model. Returns the compressed bytes. Args: model (EncodecModel): a pre-trained EncodecModel to use to compress the audio. wav (torch.Tensor): waveform to compress, should have a shape `[C, T]`, with `C` matching `model.channels`, and the proper sample rate (e.g. `model.sample_rate`). Use `utils.convert_audio` if this is not the case. use_lm (bool): if True, use a pre-trained language model to further compress the stream using Entropy Coding. This will slow down compression quite a bit, expect between 20 to 30% of size reduction. r)ioBytesIOrGgetvalue)r r rr rErErFcompresss rq compressedcCst|}t||dS)zDecompress from a file-object. Returns a tuple `(wav, sample_rate)`. Args: compressed (bytes): compressed bytes. device: device to use to perform the computations. rJ)rnrorl)rrrr rErErF decompresss  rsc Cs ddl}tdtD]}t|}|jd}|d|d\}}|ddd|jdf}|ddD]T}td |d |t }t |||d }t |} t |\} }t || } d t |d|j d |j} td| dd| dd| dd| j |j ksJq8q dS)Nrritest_zk.wav )FTzDoing z , use_lm=rmrzkbps: z.1fz , time comp: z sec. time decomp:rI) torchaudior set_num_threadsrkeysrTloadset_target_bandwidthprinttimerqrslenr#) rxrr srxr8rbeginrest_compx_dect_decompkbpsrErErFtests,         r__main__)T)r()F) __doc__rnrRr&r~typingtpr rquantization.acrrrr rrencodec_model_24khzencodec_model_48khzrTensorIObytesboolrGTuplerMrlrqrsr__name__rErErErFs0  &@C