o ðp iyã@szddlmZddlmZmZerddlmZddlmZGdd„dƒZ d%d d „Z d&d'dd„Z  d(d)d#d$„Z dS)*é)Ú annotations)Ú TYPE_CHECKINGÚBinaryIO)ÚPath)ÚTensorc@sDeZdZUdZded<ded<ded<ded<ded<dd d „Zd S)Ú AudioInfoz0Audio info, return type of backend info functionÚintÚ sample_rateÚ num_samplesÚ num_channelsÚbits_per_sampleÚstrÚencodingÚreturnÚNonecCs"||_||_||_||_||_dS)N)r r r r r)Úselfr r r r r©rúd/home/app/PaddleOCR-VL/.venv_paddleocr/lib/python3.10/site-packages/paddle/audio/backends/backend.pyÚ__init__"s  zAudioInfo.__init__N) r rr rr rr rrr rr)Ú__name__Ú __module__Ú __qualname__Ú__doc__Ú__annotations__rrrrrrs rÚfilepathústr | BinaryIOrcCótdƒ‚)aGet signal information of input audio file. Args: filepath: audio path or file object. Returns: AudioInfo: info of the given audio. Example: .. code-block:: python >>> import os >>> import paddle >>> sample_rate = 16000 >>> wav_duration = 0.5 >>> num_channels = 1 >>> num_frames = sample_rate * wav_duration >>> wav_data = paddle.linspace(-1.0, 1.0, int(num_frames)) * 0.1 >>> waveform = wav_data.tile([num_channels, 1]) >>> base_dir = os.getcwd() >>> filepath = os.path.join(base_dir, "test.wav") >>> paddle.audio.save(filepath, waveform, sample_rate) >>> wav_info = paddle.audio.info(filepath) úplease set audio backend©ÚNotImplementedError)rrrrÚinfo1sr éÿÿÿÿTú str | PathÚ frame_offsetrÚ num_framesÚ normalizeÚboolÚchannels_firstútuple[Tensor, int]cCr)a§Load audio data from file.Load the audio content start form frame_offset, and get num_frames. Args: frame_offset: from 0 to total frames, num_frames: from -1 (means total frames) or number frames which want to read, normalize: if True: return audio which norm to (-1, 1), dtype=float32 if False: return audio with raw data, dtype=int16 channels_first: if True: return audio with shape (channels, time) Return: Tuple[paddle.Tensor, int]: (audio_content, sample rate) Examples: .. code-block:: python >>> import os >>> import paddle >>> sample_rate = 16000 >>> wav_duration = 0.5 >>> num_channels = 1 >>> num_frames = sample_rate * wav_duration >>> wav_data = paddle.linspace(-1.0, 1.0, int(num_frames)) * 0.1 >>> waveform = wav_data.tile([num_channels, 1]) >>> base_dir = os.getcwd() >>> filepath = os.path.join(base_dir, "test.wav") >>> paddle.audio.save(filepath, waveform, sample_rate) >>> wav_data_read, sr = paddle.audio.load(filepath) rr)rr#r$r%r'rrrÚloadPs)r)Nér Úsrcrr rú str | Noner ú int | NonercCr)aé Save audio tensor to file. Args: filepath: saved path src: the audio tensor sample_rate: the number of samples of audio per second. channels_first: src channel information if True, means input tensor is (channels, time) if False, means input tensor is (time, channels) encoding:encoding format, wave_backend only support PCM16 now. bits_per_sample: bits per sample, wave_backend only support 16 bits now. Returns: None Examples: .. code-block:: python >>> import paddle >>> sample_rate = 16000 >>> wav_duration = 0.5 >>> num_channels = 1 >>> num_frames = sample_rate * wav_duration >>> wav_data = paddle.linspace(-1.0, 1.0, int(num_frames)) * 0.1 >>> waveform = wav_data.tile([num_channels, 1]) >>> filepath = "./test.wav" >>> paddle.audio.save(filepath, waveform, sample_rate) rr)rr+r r'rr rrrÚsave|s(r.)rrrr)rr!TT) rr"r#rr$rr%r&r'r&rr()TNr*)rr r+rr rr'r&rr,r r-rr) Ú __future__rÚtypingrrÚpathlibrZpaddlerrr r)r.rrrrÚs    ! û0ú