U 9%eX@sddlZddlZddlmZddlmZmZmZmZm Z ddl m Z e ZdZdZdeZd Zd Zd d ZGd ddZdeedddZdeedddZdS)N)cysoxr)QQLQMQHQVHQ)versionizConverting input to {}. Change ResampleStream/input dtype to avoid implicit conversion. This implicit conversion is deprecated and will be removed in next major update.z2Channel num({}) out of limit. Should be in [1, %d]zAData type must be one of [float32, float64, int16, int32], not {}z,Quality must be one of [QQ, LQ, MQ, HQ, VHQ]cCsz|tttttfkr|St|tkr*tt| }|dkr>tS|dkrJtS|dkrVtS|dkrbtS|dkrntSttdS)N)ZvhqZsoxr_vhq)ZhqZsoxr_hq)ZmqZsoxr_mq)ZlqZsoxr_lq)ZqqZsoxr_qq) rrrrrtypeint ValueError_QUALITY_ERR_STRlower)qrL/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/soxr/__init__.py_quality_to_enums  rc@s.eZdZdZd eeedddZd dd Zd S) ResampleStreama? Streaming resampler Use `ResampleStream` for real-time processing or very long signal. Parameters ---------- in_rate : float Input sample-rate. out_rate : float Output sample-rate. num_channels : int Number of channels. dtype : type or str, optional Internal data type processed with. Should be one of float32, float64, int16, int32. quality : int or str, optional Quality setting. One of `QQ`, `LQ`, `MQ`, `HQ`, `VHQ`. float32r)in_rateout_rate num_channelscCs|dks|dkrtd|dks(t|kr6tt|t||_|jtjtjtj tj fkrltt |jt |}t ||||jj||_dS)NrSample rate should be over 0r)r _CH_LIMIT_CH_EXEED_ERR_STRformatnpdtype_typerfloat64int16int32_DTYPE_ERR_STRrrZCySoxrr _cysoxr)selfrrrrqualityrrrr__init__Fs zResampleStream.__init__FcCst|tjks|j|jkrBtjt|jt ddtj ||jd}t |}|j dkr|j |ddtjf|}tj|ddS|j dkr|j ||StddS)a Resample chunk with streaming resampler Parameters ---------- x : array_like Input array. Input can be 1D(mono) or 2D(frames, channels). If input is not `np.ndarray` or not dtype in constructor, it will be converted to `np.ndarray` with dtype setting. last : bool, optional Set True at end of input sequence. Returns ------- np.ndarray Resampled data. Output is np.ndarray with same ndim with input. ) stacklevelrrNZaxisInput must be 1-D or 2-D array)r rndarrayrrwarningswarn_CONVERT_WARN_STRrDeprecationWarningasarrayascontiguousarrayndimr#processnewaxissqueezer )r$xlastyrrrresample_chunkWs   zResampleStream.resample_chunkN)rr)F)__name__ __module__ __qualname____doc__floatr r&r:rrrrr1s rr)rrcCs|dks|dkrtdt|tjkr6tj|tjd}|jjtjtjtjtj fkrdtt |jjt |}t |}|jdkrt|||ddtjf|}tj|ddS|jdkr|jd}|dkst|krtt |t||||StddS) ay Resample signal Parameters ---------- x : array_like Input array. Input can be 1D(mono) or 2D(frames, channels). If input is not `np.ndarray`, it will be converted to `np.ndarray(dtype='float32')`. Its dtype should be one of float32, float64, int16, int32. in_rate : float Input sample-rate. out_rate : float Output sample-rate. quality : int or str, optional Quality setting. One of `QQ`, `LQ`, `MQ`, `HQ`, `VHQ`. Returns ------- np.ndarray Resampled data. Output is `np.ndarray` with same ndim and dtype with input. rrr)rNr*r'r+)r r rr,r1rrrr r!r"rrr2r3rZcysoxr_divide_procr5r6shaperr)r7rrr%rr9rrrrresamplezs"    rAcCst|||t|S)z Resample using libsoxr's `soxr_oneshot()`. Use `resample()` for general use. `soxr_oneshot()` becomes slow with long input. This function exists for test purpose. )rZcysoxr_oneshotr)r7rrr%rrr_resample_oneshotsrB)r)r)r-numpyrrrrrrr_versionr __version__Zlibsoxr_versionZ__libsoxr_version__rr/rr"r rrr?rArBrrrrs  I1