\;jJddlmZddlmZmZmZddlZGddZdedefdZ ddeeefd e d e d e d e deeje ff d Z ddedejde d e deedee f dZy))Path)OptionalTupleUnionNc ,eZdZdZdededededef dZy) AudioInfoz0Audio info, return type of backend info function sample_rate num_samples num_channelsbits_per_sampleencodingcJ||_||_||_||_||_y)N)r r r r r )selfr r r r r s fG:\00. PROJECTS\API\Inventory\templateJSON\kerjaOCR\Lib\site-packages\paddle/audio/backends/backend.py__init__zAudioInfo.__init__s+'&(.  N)__name__ __module__ __qualname____doc__intstrrrrrrs:: ! ! ! !  !  !rrfilepathreturnctd)a Get 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, 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) please set audio backendNotImplementedError)rs rinfor 's8 8 99r frame_offset num_frames normalizechannels_firstctd)aLoad 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, 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$s rloadr&FsR 8 99rsrcr r r ctd)a Save audio tensor to file. Args: filepath: saved path src: the audio tensor sample_rate: the number of samples of audio per second. channels_first: src channel information if True, means input tensor is (channels, time) if False, means input tensor is (time, channels) encoding:encoding format, wave_backend only support PCM16 now. bits_per_sample: bits per sample, wave_backend only support 16 bits now. Returns: None Examples: .. code-block:: python >>> import paddle >>> sample_rate = 16000 >>> wav_duration = 0.5 >>> num_channels = 1 >>> num_frames = sample_rate * wav_duration >>> wav_data = paddle.linspace(-1.0, 1.0, num_frames) * 0.1 >>> waveform = wav_data.tile([num_channels, 1]) >>> filepath = "./test.wav" >>> paddle.audio.save(filepath, waveform, sample_rate) rr)rr'r r$r r s rsaver)rsP 8 99r)rTT)TN)pathlibrtypingrrrpaddlerrr rboolTensorr&r)rrrr1s)) !!$:3:9:B ):CI):):): ):  ):  6==#  ):` "%' (:(: (:(: (: sm (: c] (:r