Fix imports in tests

tests/_mackey_glass.py

@@ -1,4 +1,5 @@
 """Generate artificial time-series data for debugging purposes."""
+
 from typing import Optional, Union
 
 import torch

tests/test_convolution_fwt.py

@@ -6,14 +6,14 @@
 import torch
 from scipy import datasets
 
-from src.ptwt._util import _outer
-from src.ptwt.conv_transform import (
+from ptwt._util import _outer
+from ptwt.conv_transform import (
     _flatten_2d_coeff_lst,
     _translate_boundary_strings,
     wavedec,
     waverec,
 )
-from src.ptwt.conv_transform_2 import wavedec2, waverec2
+from ptwt.conv_transform_2 import wavedec2, waverec2
 from src.ptwt.wavelets_learnable import SoftOrthogonalWavelet
 from tests._mackey_glass import MackeyGenerator
 

tests/test_convolution_fwt_3.py

@@ -7,7 +7,7 @@
 import pywt
 import torch
 
-import src.ptwt as ptwt
+import ptwt
 
 
 def _expand_dims(batch_list: List) -> List:

tests/test_cwt.py

@@ -1,4 +1,5 @@
 """Test the continuous transformation code."""
+
 from typing import Union
 
 import numpy as np
@@ -7,7 +8,7 @@
 import torch
 from scipy import signal
 
-from src.ptwt.continuous_transform import _ShannonWavelet, cwt
+from ptwt.continuous_transform import _ShannonWavelet, cwt
 
 continuous_wavelets = [
     "cgau1",

tests/test_jit.py

@@ -7,8 +7,8 @@
 import torch
 from scipy import signal
 
-import src.ptwt as ptwt
-from src.ptwt.continuous_transform import _ShannonWavelet
+import ptwt
+from ptwt.continuous_transform import _ShannonWavelet
 from tests._mackey_glass import MackeyGenerator
 
 
@@ -31,7 +31,7 @@ def _set_up_wavelet_tuple(wavelet, dtype):
 
 
 def _to_jit_wavedec_fun(data, wavelet, level):
-    return ptwt.wavedec(data, wavelet, "reflect", level)
+    return ptwt.wavedec(data, wavelet, mode="reflect", level=level)
 
 
 @pytest.mark.slow
@@ -117,7 +117,7 @@ def _to_jit_wavedec_3(data, wavelet):
     means we have to stack the lists in the output.
     """
     assert data.shape == (10, 20, 20, 20), "Changing the chape requires re-tracing."
-    coeff = ptwt.wavedec3(data, wavelet, "reflect", 2)
+    coeff = ptwt.wavedec3(data, wavelet, mode="reflect", level=2)
     coeff2 = []
     keys = ("aad", "ada", "add", "daa", "dad", "dda", "ddd")
     for c in coeff:

tests/test_matrix_fwt.py

@@ -1,13 +1,14 @@
 """Test the fwt and ifwt matrices."""
 # Written by moritz ( @ wolter.tech ) in 2021
+
 from typing import List
 
 import numpy as np
 import pytest
 import pywt
 import torch
 
-from src.ptwt.matmul_transform import (
+from ptwt.matmul_transform import (
     MatrixWavedec,
     MatrixWaverec,
     _construct_a,

tests/test_matrix_fwt_2.py

@@ -1,14 +1,15 @@
 """Test code for the 2d boundary wavelets."""
 # Created by moritz ( wolter@cs.uni-bonn.de ), 08.09.21
+
 import numpy as np
 import pytest
 import pywt
 import scipy.signal
 import torch
 
-from src.ptwt.conv_transform import _flatten_2d_coeff_lst
-from src.ptwt.matmul_transform import MatrixWavedec, MatrixWaverec
-from src.ptwt.matmul_transform_2 import (
+from ptwt.conv_transform import _flatten_2d_coeff_lst
+from ptwt.matmul_transform import MatrixWavedec, MatrixWaverec
+from ptwt.matmul_transform_2 import (
     MatrixWavedec2,
     MatrixWaverec2,
     construct_boundary_a2,

tests/test_matrix_fwt_3.py

@@ -1,14 +1,15 @@
 """Test the 3d matrix-fwt code."""
+
 from typing import List
 
 import numpy as np
 import pytest
 import pywt
 import torch
 
-from src.ptwt.matmul_transform import construct_boundary_a
-from src.ptwt.matmul_transform_3 import MatrixWavedec3, MatrixWaverec3
-from src.ptwt.sparse_math import _batch_dim_mm
+from ptwt.matmul_transform import construct_boundary_a
+from ptwt.matmul_transform_3 import MatrixWavedec3, MatrixWaverec3
+from ptwt.sparse_math import _batch_dim_mm
 
 
 @pytest.mark.parametrize("axis", [1, 2, 3])

tests/test_packets.py

@@ -1,5 +1,6 @@
 """Test the wavelet packet code."""
 # Created on Fri Apr 6 2021 by moritz (wolter@cs.uni-bonn.de)
+
 from itertools import product
 
 import numpy as np
@@ -8,7 +9,7 @@
 import torch
 from scipy import datasets
 
-from src.ptwt.packets import WaveletPacket, WaveletPacket2D, get_freq_order
+from ptwt.packets import WaveletPacket, WaveletPacket2D, get_freq_order
 
 
 def _compare_trees1(

tests/test_separable_conv_fwt.py

@@ -5,9 +5,9 @@
 import pywt
 import torch
 
-from src.ptwt.matmul_transform_2 import MatrixWavedec2
-from src.ptwt.matmul_transform_3 import MatrixWavedec3
-from src.ptwt.separable_conv_transform import (
+from ptwt.matmul_transform_2 import MatrixWavedec2
+from ptwt.matmul_transform_3 import MatrixWavedec3
+from ptwt.separable_conv_transform import (
     _separable_conv_wavedecn,
     _separable_conv_waverecn,
     fswavedec2,

tests/test_sparse_math.py

@@ -1,12 +1,13 @@
 """Test the sparse math code from ptwt.sparse_math."""
 # Written by moritz ( @ wolter.tech ) in 2021
+
 import numpy as np
 import pytest
 import scipy.signal
 import torch
 from scipy import datasets
 
-from src.ptwt.sparse_math import (
+from ptwt.sparse_math import (
     batch_mm,
     construct_conv2d_matrix,
     construct_conv_matrix,

tests/test_swt.py

@@ -5,7 +5,7 @@
 import pywt
 import torch
 
-from src.ptwt._stationary_transform import _swt
+from ptwt._stationary_transform import _swt
 
 
 @pytest.mark.slow

tests/test_util.py

@@ -1,12 +1,13 @@
 """Test the util methods."""
+
 from typing import Tuple
 
 import numpy as np
 import pytest
 import pywt
 import torch
 
-from src.ptwt._util import (
+from ptwt._util import (
     _as_wavelet,
     _fold_axes,
     _pad_symmetric,

tests/test_wavelet.py

@@ -1,9 +1,10 @@
 """Test the adaptive wavelet cost functions."""
+
 import pytest
 import pywt
 import torch
 
-from src.ptwt.wavelets_learnable import SoftOrthogonalWavelet
+from ptwt.wavelets_learnable import SoftOrthogonalWavelet
 
 
 @pytest.mark.parametrize(