change path

pull/3900/head
drryanhuang 8 months ago
parent f85450c445
commit b671f2b6e9

@ -202,9 +202,9 @@ class AudioDataset:
Examples
--------
>>> from audiotools.data.datasets import AudioLoader
>>> from audiotools.data.datasets import AudioDataset
>>> from audiotools import transforms as tfm
>>> from audio.audiotools.data.datasets import AudioLoader
>>> from audio.audiotools.data.datasets import AudioDataset
>>> from audio.audiotools import transforms as tfm
>>> import numpy as np
>>>
>>> loaders = [
@ -237,9 +237,9 @@ class AudioDataset:
Below is an example of how one could load MUSDB multitrack data:
>>> import audiotools as at
>>> from audio import audiotools as at
>>> from pathlib import Path
>>> from audiotools import transforms as tfm
>>> from audio.audiotools import transforms as tfm
>>> import numpy as np
>>> import torch
>>>
@ -296,9 +296,9 @@ class AudioDataset:
Similarly, here's example code for loading Slakh data:
>>> import audiotools as at
>>> from audio import audiotools as at
>>> from pathlib import Path
>>> from audiotools import transforms as tfm
>>> from audio.audiotools import transforms as tfm
>>> import numpy as np
>>> import torch
>>> import glob

@ -37,7 +37,7 @@ def create_csv(audio_files: list,
You can produce a CSV file from a directory of audio files via:
>>> import audiotools
>>> from audio import audiotools
>>> directory = ...
>>> audio_files = audiotools.util.find_audio(directory)
>>> output_path = "train.csv"

@ -9,7 +9,7 @@ from pathlib import Path
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from audiotools import AudioSignal
from audio.audiotools import AudioSignal
import markdown2 as md
import matplotlib.pyplot as plt
import paddle
@ -50,7 +50,7 @@ def audio_table(
>>> audiotools.post.audio_zip(audio_dict)
"""
from audiotools import AudioSignal
from audio.audiotools import AudioSignal
output = []
columns = None

@ -11,10 +11,10 @@ import numpy as np
import paddle
import pytest
import rich
sys.path.append("../..")
import audiotools
from audiotools import AudioSignal
from audiotools import util
from audio import audiotools
from audio.audiotools import AudioSignal
from audio.audiotools import util
def test_io():

@ -7,8 +7,10 @@ import sys
import unittest
import paddle
sys.path.append("../..")
from audiotools.core import pure_tone, SplitBands, split_bands
from audio.audiotools.core import pure_tone
from audio.audiotools.core import split_bands
from audio.audiotools.core import SplitBands
def delta(a, b, ref, fraction=0.9):

@ -6,11 +6,10 @@ import sys
from pathlib import Path
import numpy as np
sys.path.append("../..")
from audiotools import AudioSignal
from visualdl import LogWriter
from audio.audiotools import AudioSignal
def test_specshow():
array = np.zeros((1, 16000))

@ -7,9 +7,9 @@ import sys
import numpy as np
import paddle
import pytest
sys.path.append("../..")
from audiotools import AudioSignal
from audiotools.core.util import sample_from_dist
from audio.audiotools import AudioSignal
from audio.audiotools.core.util import sample_from_dist
@pytest.mark.parametrize("window_duration", [0.1, 0.25, 0.5, 1.0])

@ -7,8 +7,8 @@ import sys
import numpy as np
import paddle
import pytest
sys.path.append("../..")
from audiotools import AudioSignal
from audio.audiotools import AudioSignal
def test_normalize():

@ -8,8 +8,9 @@ import unittest
import paddle
import paddle.nn.functional as F
sys.path.append("../..")
from audiotools.core import fft_conv1d, FFTConv1D
from audio.audiotools.core import fft_conv1d
from audio.audiotools.core import FFTConv1D
TOLERANCE = 1e-4 # as relative delta in percentage

@ -8,8 +8,8 @@ from typing import Callable
import numpy as np
import paddle
import pytest
sys.path.append("../..")
from audiotools import AudioSignal
from audio.audiotools import AudioSignal
def test_audio_grad():

@ -8,8 +8,9 @@ import sys
import unittest
import paddle
sys.path.append("../..")
from audiotools.core import highpass_filter, highpass_filters
from audio.audiotools.core import highpass_filter
from audio.audiotools.core import highpass_filters
def pure_tone(freq: float, sr: float=128, dur: float=4, device=None):

@ -7,11 +7,11 @@ import sys
import numpy as np
import pyloudnorm
import soundfile as sf
sys.path.append("../..")
from audiotools import AudioSignal
from audiotools import datasets
from audiotools import Meter
from audiotools import transforms
from audio.audiotools import AudioSignal
from audio.audiotools import datasets
from audio.audiotools import Meter
from audio.audiotools import transforms
ATOL = 1e-1

@ -9,8 +9,11 @@ import unittest
import numpy as np
import paddle
sys.path.append("../..")
from audiotools.core import LowPassFilter, LowPassFilters, lowpass_filter, resample_frac
from audio.audiotools.core import lowpass_filter
from audio.audiotools.core import LowPassFilter
from audio.audiotools.core import LowPassFilters
from audio.audiotools.core import resample_frac
def pure_tone(freq: float, sr: float=128, dur: float=4, device=None):

@ -11,9 +11,8 @@ import numpy as np
import paddle
import pytest
sys.path.append("../..")
from audiotools import util
from audiotools.core.audio_signal import AudioSignal
from audio.audiotools import util
from audio.audiotools.core.audio_signal import AudioSignal
from paddlespeech.vector.training.seeding import seed_everything

@ -7,12 +7,11 @@ import tempfile
from pathlib import Path
import numpy as np
import paddle
import pytest
sys.path.append("../..")
import paddle
import audiotools
from audiotools.data import transforms as tfm
from audio import audiotools
from audio.audiotools.data import transforms as tfm
def test_align_lists():

@ -7,10 +7,10 @@ import tempfile
from pathlib import Path
import paddle
sys.path.append("../..")
from audiotools.core.util import find_audio
from audiotools.core.util import read_sources
from audiotools.data import preprocess
from audio.audiotools.core.util import find_audio
from audio.audiotools.core.util import read_sources
from audio.audiotools.data import preprocess
def test_create_csv():

@ -11,12 +11,11 @@ import numpy as np
import paddle
import pytest
sys.path.append("../..")
import audiotools
from audiotools import AudioSignal
from audiotools import util
from audiotools.data import transforms as tfm
from audiotools.data.datasets import AudioDataset
from audio import audiotools
from audio.audiotools import AudioSignal
from audio.audiotools import util
from audio.audiotools.data import transforms as tfm
from audio.audiotools.data.datasets import AudioDataset
from paddlespeech.vector.training.seeding import seed_everything
non_deterministic_transforms = ["TimeNoise", "FrequencyNoise"]

@ -4,14 +4,14 @@
# Modified from audiotools(https://github.com/descriptinc/audiotools/blob/master/tests/ml/test_decorators.py)
import sys
import time
sys.path.append("../..")
import paddle
from visualdl import LogWriter
from audiotools.ml.decorators import timer
from audiotools.ml.decorators import Tracker
from audiotools.ml.decorators import when
from audiotools import util
from audio.audiotools import util
from audio.audiotools.ml.decorators import timer
from audio.audiotools.ml.decorators import Tracker
from audio.audiotools.ml.decorators import when
def test_all_decorators():

@ -7,9 +7,9 @@ import tempfile
import paddle
from paddle import nn
sys.path.append("../..")
from audiotools import ml
from audiotools import util
from audio.audiotools import ml
from audio.audiotools import util
from paddlespeech.vector.training.seeding import seed_everything
SEED = 0

@ -5,10 +5,9 @@
import sys
from pathlib import Path
sys.path.append("../..")
from audiotools import AudioSignal
from audiotools import post
from audiotools import transforms
from audio.audiotools import AudioSignal
from audio.audiotools import post
from audio.audiotools import transforms
def test_audio_table():

@ -115,4 +115,3 @@ paddlespeech whisper --task translate --input ./zh.wav
paddlespeech whisper --lang en --size base --task transcribe --input ./en.wav
echo -e "\033[32mTest success !!!\033[0m"

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