fix: pass parameters by name

modopt/opt/linear/wavelet.py

@@ -94,9 +94,9 @@ def __init__(self,
         **kwargs):
 
         if compute_backend == "cupy" and ptwt_available:
-            self.operator = CupyWaveletTransform(wavelet_name, shape, level, mode)
+            self.operator = CupyWaveletTransform(wavelet=wavelet_name, shape=shape, level=level, mode=mode)
         elif compute_backend == "numpy" and pywt_available:
-            self.operator = CPUWaveletTransform(wavelet_name = wavelet_name,shape= shape,nb_scales=level, **kwargs)
+            self.operator = CPUWaveletTransform(wavelet_name=wavelet_name, shape=shape, nb_scales=level, **kwargs)
         else:
             raise ValueError(f"Compute Backend {compute_backend} not available")
 
@@ -417,7 +417,7 @@ def __init__(
         self.shape = shape
         self.mode = mode
 
-        self.operator = TorchWaveletTransform(shape, wavelet, level, mode)
+        self.operator = TorchWaveletTransform(shape=shape, wavelet=wavelet, level=level,mode=mode)
 
     def op(self, data: cp.array) -> cp.ndarray:
         """Define the wavelet operator.