repo_id stringclasses 400
values | commit_sha stringclasses 400
values | commit_index int32 0 951 | in_repo_split stringclasses 1
value | cross_repo_split stringclasses 1
value | test_file stringlengths 7 121 | test_function stringlengths 1 108 | assertion_type stringclasses 32
values | difficulty stringclasses 8
values | context_lines int32 3 600 | prefix large_stringlengths 44 113k | target large_stringlengths 1 498 | anchor_sha stringclasses 400
values | anchor_index int32 0 951 | qna_source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/stft_test.py | test_stft_def | assert_* | func_call | 32 | import pytest
import torch
from torch import testing
import numpy as np
from scipy.signal import get_window
import random
from asteroid.filterbanks import Encoder, Decoder, STFTFB
from asteroid.filterbanks import make_enc_dec, griffin_lim, misi
from asteroid.filterbanks.stft_fb import perfect_synthesis_window
from ast... | dec2.filterbank.filters()) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/stft_test.py | test_stft_def_error | assert | string_literal | 28 | import pytest
import torch
from torch import testing
import numpy as np
from scipy.signal import get_window
import random
from asteroid.filterbanks import Encoder, Decoder, STFTFB
from asteroid.filterbanks import make_enc_dec, griffin_lim, misi
from asteroid.filterbanks.stft_fb import perfect_synthesis_window
from ast... | f"n_filters must be even, got {n_filters}" | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/stft_test.py | test_filter_shape | assert | collection | 29 | import pytest
import torch
from torch import testing
import numpy as np
from scipy.signal import get_window
import random
from asteroid.filterbanks import Encoder, Decoder, STFTFB
from asteroid.filterbanks import make_enc_dec, griffin_lim, misi
from asteroid.filterbanks.stft_fb import perfect_synthesis_window
from ast... | (fb_config["n_filters"] + 2, 1, fb_config["kernel_size"]) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_torchaudio_format | assert | numeric_literal | 46 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | 2 | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_mag_mask | assert_* | variable | 41 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | tf_rep) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_return_ticket_np_torch | assert_* | variable | 50 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | np_back) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_torchaudio_format | assert_* | variable | 45 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | tensor_back) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_center_freq_correction | assert | complex_expr | 41 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | new_spec.shape | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_to_numpy | assert_* | variable | 55 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | np_from_torch) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_from_numpy | assert_* | variable | 55 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | torch_from_np) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_magphase | assert | func_call | 42 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | list(mag.shape) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_check_complex_error | pytest.raises | variable | 39 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | AssertionError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_magphase | assert | func_call | 43 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | list(phase.shape) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_delta | assert | complex_expr | 39 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | delta_phase.shape | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_center_freq_correction_raises | pytest.raises | variable | 36 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | NotImplementedError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_concat_deltas | assert | func_call | 43 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | list(cat_deltas.shape) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_mag | assert | collection | 40 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | (batch, freq // 2, time) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_center_freq_correction | assert_* | func_call | 42 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | transforms.mag(new_spec)) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/filterbanks/transforms_test.py | test_reim | assert_* | func_call | 39 | import random
import pytest
import torch
from torch.testing import assert_allclose
import numpy as np
from asteroid import filterbanks as fb
from asteroid.filterbanks import transforms
COMPLEX_FBS = [fb.STFTFB, fb.ParamSincFB, fb.AnalyticFreeFB]
def fb_config_list():
keys = ["n_filters", "kernel_size", "stride"]... | transforms.take_reim(tf_rep)) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/jit/jit_filterbanks_test.py | test_jit_filterbanks | assert_* | variable | 33 | import torch
import pytest
from torch.testing import assert_allclose
from asteroid.filterbanks import make_enc_dec
from asteroid.models.base_models import BaseEncoderMaskerDecoder
@pytest.mark.parametrize(
"filter_bank_name",
("free", "stft", "analytic_free", "param_sinc"),
)
@pytest.mark.parametrize(
"inf... | out) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/jit/jit_masknn_test.py | test_lns | assert_* | func_call | 16 | import pytest
import torch
from torch.testing import assert_allclose
from asteroid.masknn import norms
@pytest.mark.parametrize("cls", (norms.GlobLN, norms.FeatsGlobLN, norms.ChanLN))
def test_lns(cls):
chan_size = 10
model = cls(channel_size=chan_size)
x = torch.randn(1, chan_size, 12)
traced = torch... | model(y)) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/jit/jit_models_test.py | assert_consistency | assert_* | variable | 23 | from typing import Tuple
import torch
import pytest
from torch.testing import assert_allclose
from asteroid.models import (
DCCRNet,
DCUNet,
DeMask,
ConvTasNet,
DPRNNTasNet,
DPTNet,
LSTMTasNet,
SuDORMRFNet,
SuDORMRFImprovedNet,
)
@torch.no_grad()
def assert_consistency(model, trace... | out) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/loss_functions_test.py | test_dc | assert | numeric_literal | 52 | import pytest
import torch
from torch.testing import assert_allclose
import warnings
from asteroid.filterbanks import STFTFB, Encoder, transforms
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr, mse
from asteroid.losses import deep_clustering_loss, SingleSrcPMSQE
from asteroid.losses import ... | 10 | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/loss_functions_test.py | test_multi_scale_spectral_shape | assert | variable | 60 | import pytest
import torch
from torch.testing import assert_allclose
import warnings
from asteroid.filterbanks import STFTFB, Encoder, transforms
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr, mse
from asteroid.losses import deep_clustering_loss, SingleSrcPMSQE
from asteroid.losses import ... | batch_size | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/loss_functions_test.py | assert_loss_checks_shape | pytest.raises | variable | 34 | import pytest
import torch
from torch.testing import assert_allclose
import warnings
from asteroid.filterbanks import STFTFB, Encoder, transforms
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr, mse
from asteroid.losses import deep_clustering_loss, SingleSrcPMSQE
from asteroid.losses import ... | TypeError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/loss_functions_test.py | test_pmsqe | assert | complex_expr | 61 | import pytest
import torch
from torch.testing import assert_allclose
import warnings
from asteroid.filterbanks import STFTFB, Encoder, transforms
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr, mse
from asteroid.losses import deep_clustering_loss, SingleSrcPMSQE
from asteroid.losses import ... | ref.shape[0] | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/loss_functions_test.py | test_sisdr_and_mse_shape_checks | assert_* | variable | 55 | import pytest
import torch
from torch.testing import assert_allclose
import warnings
from asteroid.filterbanks import STFTFB, Encoder, transforms
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr, mse
from asteroid.losses import deep_clustering_loss, SingleSrcPMSQE
from asteroid.losses import ... | no_batch_ok) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/loss_functions_test.py | test_pmsqe | assert_* | variable | 64 | import pytest
import torch
from torch.testing import assert_allclose
import warnings
from asteroid.filterbanks import STFTFB, Encoder, transforms
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr, mse
from asteroid.losses import deep_clustering_loss, SingleSrcPMSQE
from asteroid.losses import ... | tr_loss_value) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/loss_functions_test.py | test_sisdr_and_mse_shape_checks | assert_* | variable | 50 | import pytest
import torch
from torch.testing import assert_allclose
import warnings
from asteroid.filterbanks import STFTFB, Encoder, transforms
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr, mse
from asteroid.losses import deep_clustering_loss, SingleSrcPMSQE
from asteroid.losses import ... | arbitrary_last_dim) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/loss_functions_test.py | test_sisdr_and_mse | assert_* | func_call | 62 | import pytest
import torch
from torch.testing import assert_allclose
import warnings
from asteroid.filterbanks import STFTFB, Encoder, transforms
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr, mse
from asteroid.losses import deep_clustering_loss, SingleSrcPMSQE
from asteroid.losses import ... | w_src_wrapper(est_targets, targets)) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/loss_functions_test.py | test_sisdr_and_mse | assert_* | func_call | 61 | import pytest
import torch
from torch.testing import assert_allclose
import warnings
from asteroid.filterbanks import STFTFB, Encoder, transforms
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr, mse
from asteroid.losses import deep_clustering_loss, SingleSrcPMSQE
from asteroid.losses import ... | wo_src_wrapper(est_targets, targets)) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/loss_functions_test.py | test_sisdr_and_mse | assert_* | func_call | 69 | import pytest
import torch
from torch.testing import assert_allclose
import warnings
from asteroid.filterbanks import STFTFB, Encoder, transforms
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr, mse
from asteroid.losses import deep_clustering_loss, SingleSrcPMSQE
from asteroid.losses import ... | w_src_wrapper(est_targets, targets, return_est=True)[1]) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/loss_functions_test.py | test_sisdr_and_mse | assert_* | func_call | 65 | import pytest
import torch
from torch.testing import assert_allclose
import warnings
from asteroid.filterbanks import STFTFB, Encoder, transforms
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr, mse
from asteroid.losses import deep_clustering_loss, SingleSrcPMSQE
from asteroid.losses import ... | wo_src_wrapper(est_targets, targets, return_est=True)[1]) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/mixit_wrapper_test.py | test_mixit_wrapper | assert | complex_expr | 24 | import pytest
import torch
from asteroid.losses import MixITLossWrapper
def good_batch_loss_func(y_pred, y_true):
batch, *_ = y_true.shape
return torch.randn(batch)
@pytest.mark.parametrize("batch_size", [1, 2, 4])
@pytest.mark.parametrize("factor", [1, 2, 3])
@pytest.mark.parametrize("n_mix", [2, 3])
@pytes... | mixtures.shape | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/mixit_wrapper_test.py | test_mixitwrapper_as_pit_wrapper | assert | complex_expr | 22 | import pytest
import torch
from asteroid.losses import MixITLossWrapper
def good_batch_loss_func(y_pred, y_true):
batch, *_ = y_true.shape
return torch.randn(batch)
@pytest.mark.parametrize("batch_size", [1, 2, 8])
@pytest.mark.parametrize("n_src", [2, 3, 4])
@pytest.mark.parametrize("time", [16000])
def tes... | est_targets.shape | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/pit_wrapper_test.py | test_permutation | assert | numeric_literal | 40 | import pytest
import itertools
import torch
from torch.testing import assert_allclose
from asteroid.losses import PITLossWrapper, pairwise_mse
def bad_loss_func_ndim0(y_pred, y_true):
return torch.randn(1).mean()
def bad_loss_func_ndim1(y_pred, y_true):
return torch.randn(1)
def good_batch_loss_func(y_pred,... | 0 | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/pit_wrapper_test.py | test_permreduce | assert_* | variable | 44 | import pytest
import itertools
import torch
from torch.testing import assert_allclose
from asteroid.losses import PITLossWrapper, pairwise_mse
def bad_loss_func_ndim0(y_pred, y_true):
return torch.randn(1).mean()
def bad_loss_func_ndim1(y_pred, y_true):
return torch.randn(1)
def good_batch_loss_func(y_pred,... | w_mean) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/pit_wrapper_test.py | test_permutation | assert_* | variable | 41 | import pytest
import itertools
import torch
from torch.testing import assert_allclose
from asteroid.losses import PITLossWrapper, pairwise_mse
def bad_loss_func_ndim0(y_pred, y_true):
return torch.randn(1).mean()
def bad_loss_func_ndim1(y_pred, y_true):
return torch.randn(1)
def good_batch_loss_func(y_pred,... | reordered) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/pit_wrapper_test.py | test_raises_wrong_pit_from | pytest.raises | variable | 24 | import pytest
import itertools
import torch
from torch.testing import assert_allclose
from asteroid.losses import PITLossWrapper, pairwise_mse
def bad_loss_func_ndim0(y_pred, y_true):
return torch.randn(1).mean()
def bad_loss_func_ndim1(y_pred, y_true):
return torch.randn(1)
def good_batch_loss_func(y_pred,... | ValueError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/pit_wrapper_test.py | test_best_perm_match | assert_* | variable | 31 | import pytest
import itertools
import torch
from torch.testing import assert_allclose
from asteroid.losses import PITLossWrapper, pairwise_mse
def bad_loss_func_ndim0(y_pred, y_true):
return torch.randn(1).mean()
def bad_loss_func_ndim1(y_pred, y_true):
return torch.randn(1)
def good_batch_loss_func(y_pred,... | min_idx_hun) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/pit_wrapper_test.py | test_best_perm_match | assert_* | variable | 30 | import pytest
import itertools
import torch
from torch.testing import assert_allclose
from asteroid.losses import PITLossWrapper, pairwise_mse
def bad_loss_func_ndim0(y_pred, y_true):
return torch.randn(1).mean()
def bad_loss_func_ndim1(y_pred, y_true):
return torch.randn(1)
def good_batch_loss_func(y_pred,... | min_loss_hun) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/pit_wrapper_test.py | test_permreduce | assert_* | complex_expr | 45 | import pytest
import itertools
import torch
from torch.testing import assert_allclose
from asteroid.losses import PITLossWrapper, pairwise_mse
def bad_loss_func_ndim0(y_pred, y_true):
return torch.randn(1).mean()
def bad_loss_func_ndim1(y_pred, y_true):
return torch.randn(1)
def good_batch_loss_func(y_pred,... | w_sum / n_src) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/pit_wrapper_test.py | test_wrapper | pytest.raises | variable | 31 | import pytest
import itertools
import torch
from torch.testing import assert_allclose
from asteroid.losses import PITLossWrapper, pairwise_mse
def bad_loss_func_ndim0(y_pred, y_true):
return torch.randn(1).mean()
def bad_loss_func_ndim1(y_pred, y_true):
return torch.randn(1)
def good_batch_loss_func(y_pred,... | AssertionError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/pit_wrapper_test.py | test_wrapper | assert | complex_expr | 37 | import pytest
import itertools
import torch
from torch.testing import assert_allclose
from asteroid.losses import PITLossWrapper, pairwise_mse
def bad_loss_func_ndim0(y_pred, y_true):
return torch.randn(1).mean()
def bad_loss_func_ndim1(y_pred, y_true):
return torch.randn(1)
def good_batch_loss_func(y_pred,... | est_targets.shape | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/sinkpit_wrapper_test.py | on_batch_end | assert | variable | 43 | import pytest
import itertools
import torch
from torch import nn, optim
from torch.utils import data
from torch.testing import assert_allclose
import pytorch_lightning as pl
from pytorch_lightning import Trainer
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr
from asteroid.losses import sin... | step | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/sinkpit_wrapper_test.py | on_epoch_end | assert | complex_expr | 48 | import pytest
import itertools
import torch
from torch import nn, optim
from torch.utils import data
from torch.testing import assert_allclose
import pytorch_lightning as pl
from pytorch_lightning import Trainer
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr
from asteroid.losses import sin... | self.epoch | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/sinkpit_wrapper_test.py | on_epoch_end | assert | func_call | 49 | import pytest
import itertools
import torch
from torch import nn, optim
from torch.utils import data
from torch.testing import assert_allclose
import pytorch_lightning as pl
from pytorch_lightning import Trainer
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr
from asteroid.losses import sin... | self.f(epoch) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/sinkpit_wrapper_test.py | test_wrapper | pytest.raises | variable | 43 | import pytest
import itertools
import torch
from torch import nn, optim
from torch.utils import data
from torch.testing import assert_allclose
import pytorch_lightning as pl
from pytorch_lightning import Trainer
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr
from asteroid.losses import sin... | AssertionError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/sinkpit_wrapper_test.py | test_wrapper | assert | complex_expr | 49 | import pytest
import itertools
import torch
from torch import nn, optim
from torch.utils import data
from torch.testing import assert_allclose
import pytorch_lightning as pl
from pytorch_lightning import Trainer
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr
from asteroid.losses import sin... | est_targets.shape | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/sinkpit_wrapper_test.py | test_proximity_sinkhorn_hungarian | assert_* | variable | 71 | import pytest
import itertools
import torch
from torch import nn, optim
from torch.utils import data
from torch.testing import assert_allclose
import pytorch_lightning as pl
from pytorch_lightning import Trainer
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr
from asteroid.losses import sin... | mean_loss_hungarian) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/losses/sinkpit_wrapper_test.py | on_batch_end | assert | collection | 44 | import pytest
import itertools
import torch
from torch import nn, optim
from torch.utils import data
from torch.testing import assert_allclose
import pytorch_lightning as pl
from pytorch_lightning import Trainer
from asteroid.losses import PITLossWrapper
from asteroid.losses import sdr
from asteroid.losses import sin... | (self.epoch + 1) * self.n_batch | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/activations_test.py | test_get_none | assert | none_literal | 21 | import pytest
import torch
from torch.testing import assert_allclose
from asteroid.masknn import activations
from torch import nn
def activation_mapping():
mapping_list = [
(nn.Identity, "linear"),
(nn.ReLU, "relu"),
(nn.PReLU, "prelu"),
(nn.LeakyReLU, "leaky_relu"),
(nn.Si... | None | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/activations_test.py | test_register | assert | variable | 27 | import pytest
import torch
from torch.testing import assert_allclose
from asteroid.masknn import activations
from torch import nn
def activation_mapping():
mapping_list = [
(nn.Identity, "linear"),
(nn.ReLU, "relu"),
(nn.PReLU, "prelu"),
(nn.LeakyReLU, "leaky_relu"),
(nn.Si... | Custom | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/activations_test.py | test_register | pytest.raises | variable | 29 | import pytest
import torch
from torch.testing import assert_allclose
from asteroid.masknn import activations
from torch import nn
def activation_mapping():
mapping_list = [
(nn.Identity, "linear"),
(nn.ReLU, "relu"),
(nn.PReLU, "prelu"),
(nn.LeakyReLU, "leaky_relu"),
(nn.Si... | ValueError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/activations_test.py | test_activations | assert_* | func_call | 27 | import pytest
import torch
from torch.testing import assert_allclose
from asteroid.masknn import activations
from torch import nn
def activation_mapping():
mapping_list = [
(nn.Identity, "linear"),
(nn.ReLU, "relu"),
(nn.PReLU, "prelu"),
(nn.LeakyReLU, "leaky_relu"),
(nn.Si... | asteroid_act(inp)) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/activations_test.py | test_softmax | assert_* | func_call | 24 | import pytest
import torch
from torch.testing import assert_allclose
from asteroid.masknn import activations
from torch import nn
def activation_mapping():
mapping_list = [
(nn.Identity, "linear"),
(nn.ReLU, "relu"),
(nn.PReLU, "prelu"),
(nn.LeakyReLU, "leaky_relu"),
(nn.Si... | asteroid_softmax(inp)) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/activations_test.py | test_softmax | assert | func_call | 25 | import pytest
import torch
from torch.testing import assert_allclose
from asteroid.masknn import activations
from torch import nn
def activation_mapping():
mapping_list = [
(nn.Identity, "linear"),
(nn.ReLU, "relu"),
(nn.PReLU, "prelu"),
(nn.LeakyReLU, "leaky_relu"),
(nn.Si... | activations.get(torch_softmax) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/convolutional_test.py | test_tdconvnet | assert | collection | 27 | import pytest
import torch
from asteroid.masknn import TDConvNet, TDConvNetpp
@pytest.mark.parametrize("mask_act", ["relu", "softmax"])
@pytest.mark.parametrize("out_chan", [None, 10])
@pytest.mark.parametrize("skip_chan", [0, 12])
def test_tdconvnet(mask_act, out_chan, skip_chan):
in_chan, n_src = 20, 2
model... | (batch, n_src, out_chan, n_frames) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/norms_test.py | test_get_none | assert | none_literal | 9 | import pytest
import torch
from torch import nn
from asteroid.masknn import norms
def test_get_none():
assert norms.get(None) is | None | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/norms_test.py | test_register | assert | variable | 15 | import pytest
import torch
from torch import nn
from asteroid.masknn import norms
def test_register():
class Custom(nn.Module):
def __init__(self):
super().__init__()
norms.register_norm(Custom)
cls = norms.get("Custom")
assert cls == | Custom | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/norms_test.py | test_norms | assert | variable | 14 | import pytest
import torch
from torch import nn
from asteroid.masknn import norms
@pytest.mark.parametrize("norm_str", ["gLN", "cLN", "cgLN", "bN", "fgLN"])
@pytest.mark.parametrize("channel_size", [8, 128, 4])
def test_norms(norm_str, channel_size):
norm_layer = norms.get(norm_str)
# Use get on the class
... | norm_layer | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/norms_test.py | test_register | pytest.raises | variable | 17 | import pytest
import torch
from torch import nn
from asteroid.masknn import norms
def test_register():
class Custom(nn.Module):
def __init__(self):
super().__init__()
norms.register_norm(Custom)
cls = norms.get("Custom")
assert cls == Custom
with pytest.raises( | ValueError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/recurrent_test.py | test_res_rnn | assert | collection | 16 | import pytest
import torch
from asteroid.masknn import recurrent as rec
@pytest.mark.parametrize("rnn_type", ["LSTM", "GRU", "RNN"])
@pytest.mark.parametrize("dropout", [0.0, 0.2])
def test_res_rnn(rnn_type, dropout):
n_units, n_layers = 20, 3
model = rec.StackedResidualRNN(
rnn_type, n_units, n_layers... | (batch, n_frames, n_units) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/recurrent_test.py | test_res_birnn | assert | collection | 16 | import pytest
import torch
from asteroid.masknn import recurrent as rec
@pytest.mark.parametrize("rnn_type", ["LSTM", "GRU", "RNN"])
@pytest.mark.parametrize("dropout", [0.0, 0.2])
def test_res_birnn(rnn_type, dropout):
n_units, n_layers = 20, 3
model = rec.StackedResidualBiRNN(
rnn_type, n_units, n_la... | (batch, n_frames, 2 * n_units) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/masknn/recurrent_test.py | test_dprnn | assert | collection | 27 | import pytest
import torch
from asteroid.masknn import recurrent as rec
@pytest.mark.parametrize("mask_act", ["relu", "softmax"])
@pytest.mark.parametrize("out_chan", [None, 10])
@pytest.mark.parametrize("hop_size", [None, 5])
def test_dprnn(mask_act, out_chan, hop_size):
in_chan, n_src = 20, 2
model = rec.DPR... | (batch, n_src, out_chan, n_frames) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/metrics_test.py | test_ignore_errors | assert | none_literal | 27 | from unittest import mock
import numpy as np
import pytest
from asteroid.metrics import get_metrics
@pytest.mark.parametrize("average", [True, False])
@pytest.mark.parametrize("filename", [None, "example.wav"])
def test_ignore_errors(filename, average):
mix = np.random.randn(1, 4000)
clean = np.random.randn(1,... | None | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/metrics_test.py | test_get_metrics | assert | complex_expr | 17 | from unittest import mock
import numpy as np
import pytest
from asteroid.metrics import get_metrics
@pytest.mark.parametrize("fs", [8000, 16000])
def test_get_metrics(fs):
mix = np.random.randn(1, 16000)
clean = np.random.randn(2, 16000)
est = np.random.randn(2, 16000)
metrics_dict = get_metrics(mix, c... | metrics_dict["si_sdr"] | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/metrics_test.py | test_get_metrics | assert | complex_expr | 18 | from unittest import mock
import numpy as np
import pytest
from asteroid.metrics import get_metrics
@pytest.mark.parametrize("fs", [8000, 16000])
def test_get_metrics(fs):
mix = np.random.randn(1, 16000)
clean = np.random.randn(2, 16000)
est = np.random.randn(2, 16000)
metrics_dict = get_metrics(mix, c... | metrics_dict["input_si_sdr"] | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/metrics_test.py | test_error_msg | pytest.raises | complex_expr | 15 | from unittest import mock
import numpy as np
import pytest
from asteroid.metrics import get_metrics
@pytest.mark.parametrize("filename", [None, "example.wav"])
def test_error_msg(filename):
mix = np.random.randn(1, 4000)
clean = np.random.randn(1, 4000)
est = np.random.randn(1, 4000)
expected_msg = f".... | RuntimeError, match=expected_msg) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/models/demask_test.py | test_sample_rate | assert | numeric_literal | 14 | from glob import glob
import os.path as osp
import re
import pytest
import torch
from torch.testing import assert_allclose
from asteroid.models import DeMask
def test_sample_rate():
demask = DeMask(hidden_dims=(16,), kernel_size=8, n_filters=8, stride=4, sample_rate=9704)
assert demask.sample_rate == | 9704 | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/models/demask_test.py | test_get_model_args | assert | variable | 28 | from glob import glob
import os.path as osp
import re
import pytest
import torch
from torch.testing import assert_allclose
from asteroid.models import DeMask
def test_get_model_args():
demask = DeMask()
expected = {
"activation": "relu",
"dropout": 0,
"fb_name": "STFTFB",
"hid... | expected | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/models/models_test.py | test_get | assert | variable | 45 | import torch
import pytest
from torch.testing import assert_allclose
import numpy as np
import soundfile as sf
import asteroid
from asteroid import models
from asteroid.filterbanks import make_enc_dec
from asteroid.dsp import LambdaOverlapAdd
from asteroid.separate import separate
from asteroid.models import (
Conv... | model | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/models/models_test.py | test_register | assert | variable | 47 | import torch
import pytest
from torch.testing import assert_allclose
import numpy as np
import soundfile as sf
import asteroid
from asteroid import models
from asteroid.filterbanks import make_enc_dec
from asteroid.dsp import LambdaOverlapAdd
from asteroid.separate import separate
from asteroid.models import (
Conv... | Custom | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/models/models_test.py | test_dcunet | pytest.raises | variable | 35 | import torch
import pytest
from torch.testing import assert_allclose
import numpy as np
import soundfile as sf
import asteroid
from asteroid import models
from asteroid.filterbanks import make_enc_dec
from asteroid.dsp import LambdaOverlapAdd
from asteroid.separate import separate
from asteroid.models import (
Conv... | TypeError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/models/models_test.py | test_register | pytest.raises | variable | 49 | import torch
import pytest
from torch.testing import assert_allclose
import numpy as np
import soundfile as sf
import asteroid
from asteroid import models
from asteroid.filterbanks import make_enc_dec
from asteroid.dsp import LambdaOverlapAdd
from asteroid.separate import separate
from asteroid.models import (
Conv... | ValueError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/models/models_test.py | _default_test_model | pytest.raises | variable | 36 | import torch
import pytest
from torch.testing import assert_allclose
import numpy as np
import soundfile as sf
import asteroid
from asteroid import models
from asteroid.filterbanks import make_enc_dec
from asteroid.dsp import LambdaOverlapAdd
from asteroid.separate import separate
from asteroid.models import (
Conv... | RuntimeError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/models/models_test.py | _default_test_model | assert_* | func_call | 32 | import torch
import pytest
from torch.testing import assert_allclose
import numpy as np
import soundfile as sf
import asteroid
from asteroid import models
from asteroid.filterbanks import make_enc_dec
from asteroid.dsp import LambdaOverlapAdd
from asteroid.separate import separate
from asteroid.models import (
Conv... | reconstructed_model(test_input)) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/models/publish_test.py | test_upload | assert | string_literal | 50 | import os
import json
import shutil
import pytest
from asteroid.models import save_publishable, upload_publishable, ConvTasNet
from asteroid.data.wham_dataset import WhamDataset
def populate_wham_dir(path):
wham_files = ["s1", "s2", "noise", "mix_single", "mix_clean", "mix_both"]
os.makedirs(path, exist_ok=Tr... | "INRIA" | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/models/publish_test.py | test_upload | assert | string_literal | 49 | import os
import json
import shutil
import pytest
from asteroid.models import save_publishable, upload_publishable, ConvTasNet
from asteroid.data.wham_dataset import WhamDataset
def populate_wham_dir(path):
wham_files = ["s1", "s2", "noise", "mix_single", "mix_clean", "mix_both"]
os.makedirs(path, exist_ok=Tr... | "Manuel Pariente" | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/models/publish_test.py | test_upload | assert | collection | 51 | import os
import json
import shutil
import pytest
from asteroid.models import save_publishable, upload_publishable, ConvTasNet
from asteroid.data.wham_dataset import WhamDataset
def populate_wham_dir(path):
wham_files = ["s1", "s2", "noise", "mix_single", "mix_clean", "mix_both"]
os.makedirs(path, exist_ok=Tr... | [d["identifier"] for d in meta["communities"]] | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/deprecation_utils_test.py | test_deprecated | assert | numeric_literal | 29 | import pytest
import warnings
from asteroid.utils import deprecation_utils as dp
def test_deprecated():
class Foo:
def new_func(self):
pass
@dp.mark_deprecated("Please use `new_func`", "0.5.0")
def old_func(self):
pass
@dp.mark_deprecated("Please use `new_f... | 1 | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/deprecation_utils_test.py | test_is_overidden | pytest.raises | variable | 38 | import pytest
import warnings
from asteroid.utils import deprecation_utils as dp
def test_is_overidden():
class Foo:
def some_func(self):
return None
class Bar(Foo):
def some_func(self):
something_changed = None
return None
class Ho(Bar):
pass
... | RuntimeError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/deprecation_utils_test.py | test_deprecated | assert | complex_expr | 31 | import pytest
import warnings
from asteroid.utils import deprecation_utils as dp
def test_deprecated():
class Foo:
def new_func(self):
pass
@dp.mark_deprecated("Please use `new_func`", "0.5.0")
def old_func(self):
pass
@dp.mark_deprecated("Please use `new_f... | record[0].message.args[0] | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/hub_utils_test.py | test_http_user_agent | assert | variable | 11 | import os
from asteroid.utils import hub_utils
HF_EXAMPLE_MODEL_IDENTIFER = "julien-c/DPRNNTasNet-ks16_WHAM_sepclean"
REVISION_ID_ONE_SPECIFIC_COMMIT = "8ab5ef18ef2eda141dd11a5d037a8bede7804ce4"
def test_http_user_agent():
ua1 = hub_utils.http_user_agent("foobar/1")
assert "foobar/1" in | ua1 | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/hub_utils_test.py | test_http_user_agent | assert | variable | 13 | import os
from asteroid.utils import hub_utils
HF_EXAMPLE_MODEL_IDENTIFER = "julien-c/DPRNNTasNet-ks16_WHAM_sepclean"
REVISION_ID_ONE_SPECIFIC_COMMIT = "8ab5ef18ef2eda141dd11a5d037a8bede7804ce4"
def test_http_user_agent():
ua1 = hub_utils.http_user_agent("foobar/1")
assert "foobar/1" in ua1
ua2 = hub_uti... | ua2 | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/hub_utils_test.py | test_download | assert | variable | 15 | import os
from asteroid.utils import hub_utils
HF_EXAMPLE_MODEL_IDENTIFER = "julien-c/DPRNNTasNet-ks16_WHAM_sepclean"
REVISION_ID_ONE_SPECIFIC_COMMIT = "8ab5ef18ef2eda141dd11a5d037a8bede7804ce4"
def test_download():
# We download
path1 = hub_utils.cached_download("mpariente/ConvTasNet_WHAM!_sepclean")
as... | path2 | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/hub_utils_test.py | test_hf_download | assert | variable | 21 | import os
from asteroid.utils import hub_utils
HF_EXAMPLE_MODEL_IDENTIFER = "julien-c/DPRNNTasNet-ks16_WHAM_sepclean"
REVISION_ID_ONE_SPECIFIC_COMMIT = "8ab5ef18ef2eda141dd11a5d037a8bede7804ce4"
def test_hf_download():
# We download
path1 = hub_utils.cached_download(HF_EXAMPLE_MODEL_IDENTIFER)
assert os.... | path1 | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/torch_utils_test.py | test_get_device | assert | string_literal | 20 | import torch
import pytest
from torch import nn
from asteroid import torch_utils
def test_get_device():
# We have only CPU in CI so can't test with real devices.
class FakeTensor:
device = "dev1"
class FakeModule:
def parameters(self):
yield FakeTensor()
class UnknownObje... | "dev1" | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/torch_utils_test.py | test_pad | assert | complex_expr | 11 | import torch
import pytest
from torch import nn
from asteroid import torch_utils
def test_pad():
x = torch.randn(10, 1, 16000)
y = torch.randn(10, 1, 16234)
padded_x = torch_utils.pad_x_to_y(x, y)
assert padded_x.shape == | y.shape | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/torch_utils_test.py | test_get_device | pytest.raises | variable | 22 | import torch
import pytest
from torch import nn
from asteroid import torch_utils
def test_get_device():
# We have only CPU in CI so can't test with real devices.
class FakeTensor:
device = "dev1"
class FakeModule:
def parameters(self):
yield FakeTensor()
class UnknownObje... | TypeError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/torch_utils_test.py | test_loader_submodule | pytest.raises | variable | 21 | import torch
import pytest
from torch import nn
from asteroid import torch_utils
def test_loader_submodule():
class SuperModule(nn.Module):
""" nn.Module subclass that holds a model under self.whoever """
def __init__(self, sub_model):
super().__init__()
self.whoever = sub_... | RuntimeError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/torch_utils_test.py | test_pad_fail | pytest.raises | variable | 10 | import torch
import pytest
from torch import nn
from asteroid import torch_utils
def test_pad_fail():
x = torch.randn(10, 16000, 1)
y = torch.randn(10, 16234, 1)
with pytest.raises( | NotImplementedError) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/utils_test.py | test_boolean | assert | bool_literal | 26 | import itertools
import argparse
from collections.abc import MutableMapping
import torch
from torch.testing import assert_allclose
import pytest
import numpy as np
from asteroid import utils
from asteroid.utils import prepare_parser_from_dict, parse_args_as_dict
def parser():
# Create dictionary as from .yml file... | True | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/utils_test.py | test_boolean | assert | bool_literal | 30 | import itertools
import argparse
from collections.abc import MutableMapping
import torch
from torch.testing import assert_allclose
import pytest
import numpy as np
from asteroid import utils
from asteroid.utils import prepare_parser_from_dict, parse_args_as_dict
def parser():
# Create dictionary as from .yml file... | False | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/utils_test.py | test_transfer | assert_* | variable | 39 | import itertools
import argparse
from collections.abc import MutableMapping
import torch
from torch.testing import assert_allclose
import pytest
import numpy as np
from asteroid import utils
from asteroid.utils import prepare_parser_from_dict, parse_args_as_dict
def parser():
# Create dictionary as from .yml file... | tensors) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/utils_test.py | test_none_default | assert | func_call | 29 | import itertools
import argparse
from collections.abc import MutableMapping
import torch
from torch.testing import assert_allclose
import pytest
import numpy as np
from asteroid import utils
from asteroid.utils import prepare_parser_from_dict, parse_args_as_dict
def parser():
# Create dictionary as from .yml file... | type(inp) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/utils_test.py | test_average_array_in_dic | assert | variable | 28 | import itertools
import argparse
from collections.abc import MutableMapping
import torch
from torch.testing import assert_allclose
import pytest
import numpy as np
from asteroid import utils
from asteroid.utils import prepare_parser_from_dict, parse_args_as_dict
def parser():
# Create dictionary as from .yml file... | d_should_be | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/utils_test.py | test_transfer | assert | func_call | 41 | import itertools
import argparse
from collections.abc import MutableMapping
import torch
from torch.testing import assert_allclose
import pytest
import numpy as np
from asteroid import utils
from asteroid.utils import prepare_parser_from_dict, parse_args_as_dict
def parser():
# Create dictionary as from .yml file... | list(tensors) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/utils_test.py | test_transfer | assert | func_call | 43 | import itertools
import argparse
from collections.abc import MutableMapping
import torch
from torch.testing import assert_allclose
import pytest
import numpy as np
from asteroid import utils
from asteroid.utils import prepare_parser_from_dict, parse_args_as_dict
def parser():
# Create dictionary as from .yml file... | dict(tensors) | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
asteroid-team/asteroid | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | train | train | tests/utils/utils_test.py | test_namespace_dic | assert | complex_expr | 27 | import itertools
import argparse
from collections.abc import MutableMapping
import torch
from torch.testing import assert_allclose
import pytest
import numpy as np
from asteroid import utils
from asteroid.utils import prepare_parser_from_dict, parse_args_as_dict
def parser():
# Create dictionary as from .yml file... | plain_args.key3 | b13741e36256deebbbdc3e6f42a8564b5259a3fb | 93 | v2_extractor_at_anchor |
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