filters: remove unused kwargs arguments

Droxef · Mar 11, 2018 · 1d9c1ca · 1d9c1ca
1 parent 818e344
commit 1d9c1ca
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Showing 12 changed files with 24 additions and 25 deletions.
diff --git a/pygsp/filters/abspline.py b/pygsp/filters/abspline.py
@@ -40,7 +40,7 @@ class Abspline(Filter):
 
     """
 
-    def __init__(self, G, Nf=6, lpfactor=20, scales=None, **kwargs):
+    def __init__(self, G, Nf=6, lpfactor=20, scales=None):
 
         def kernel_abspline3(x, alpha, beta, t1, t2):
             M = np.array([[1, t1, t1**2, t1**3],
@@ -98,4 +98,4 @@ def kernel_abspline3(x, alpha, beta, t1, t2):
         lminfac = .6 * G.lmin
         g[0] = lambda x: gamma_l * gl(x / lminfac)
 
-        super(Abspline, self).__init__(G, g, **kwargs)
+        super(Abspline, self).__init__(G, g)
diff --git a/pygsp/filters/expwin.py b/pygsp/filters/expwin.py
@@ -33,7 +33,7 @@ class Expwin(Filter):
 
     """
 
-    def __init__(self, G, bmax=0.2, a=1., **kwargs):
+    def __init__(self, G, bmax=0.2, a=1.):
 
         def fx(x, a):
             y = np.exp(-float(a)/x)
@@ -53,4 +53,4 @@ def ffin(x, a):
 
         g = [lambda x: ffin(np.float64(x)/bmax/G.lmax, a)]
 
-        super(Expwin, self).__init__(G, g, **kwargs)
+        super(Expwin, self).__init__(G, g)
diff --git a/pygsp/filters/halfcosine.py b/pygsp/filters/halfcosine.py
@@ -31,7 +31,7 @@ class HalfCosine(Filter):
 
     """
 
-    def __init__(self, G, Nf=6, **kwargs):
+    def __init__(self, G, Nf=6):
 
         if Nf <= 2:
             raise ValueError('The number of filters must be higher than 2.')
@@ -45,4 +45,4 @@ def __init__(self, G, Nf=6, **kwargs):
         for i in range(Nf):
             g.append(lambda x, ind=i: main_window(x - dila_fact/3. * (ind - 2)))
 
-        super(HalfCosine, self).__init__(G, g, **kwargs)
+        super(HalfCosine, self).__init__(G, g)
diff --git a/pygsp/filters/heat.py b/pygsp/filters/heat.py
@@ -61,7 +61,7 @@ class Heat(Filter):
 
     """
 
-    def __init__(self, G, tau=10, normalize=False, **kwargs):
+    def __init__(self, G, tau=10, normalize=False):
 
         try:
             iter(tau)
@@ -76,4 +76,4 @@ def kernel(x, t):
             norm = np.linalg.norm(kernel(G.e, t)) if normalize else 1
             g.append(lambda x, t=t, norm=norm: kernel(x, t) / norm)
 
-        super(Heat, self).__init__(G, g, **kwargs)
+        super(Heat, self).__init__(G, g)
diff --git a/pygsp/filters/held.py b/pygsp/filters/held.py
@@ -45,7 +45,7 @@ class Held(Filter):
 
     """
 
-    def __init__(self, G, a=2./3, **kwargs):
+    def __init__(self, G, a=2./3):
 
         g = [lambda x: held(x * (2./G.lmax), a)]
         g.append(lambda x: np.real(np.sqrt(1 - (held(x * (2./G.lmax), a))
@@ -67,4 +67,4 @@ def held(val, a):
 
             return y
 
-        super(Held, self).__init__(G, g, **kwargs)
+        super(Held, self).__init__(G, g)
diff --git a/pygsp/filters/itersine.py b/pygsp/filters/itersine.py
@@ -35,7 +35,7 @@ class Itersine(Filter):
     >>> G.plot_signal(s, ax=axes[1])
 
     """
-    def __init__(self, G, Nf=6, overlap=2., **kwargs):
+    def __init__(self, G, Nf=6, overlap=2.):
 
         def k(x):
             return np.sin(0.5*np.pi*np.power(np.cos(x*np.pi), 2)) * ((x >= -0.5)*(x <= 0.5))
@@ -46,4 +46,4 @@ def k(x):
         for i in range(1, Nf + 1):
             g.append(lambda x, ind=i: k(x/scale - (ind - overlap/2.)/overlap) / np.sqrt(overlap)*np.sqrt(2))
 
-        super(Itersine, self).__init__(G, g, **kwargs)
+        super(Itersine, self).__init__(G, g)
diff --git a/pygsp/filters/mexicanhat.py b/pygsp/filters/mexicanhat.py
@@ -55,8 +55,7 @@ class MexicanHat(Filter):
 
     """
 
-    def __init__(self, G, Nf=6, lpfactor=20, scales=None, normalize=False,
-                 **kwargs):
+    def __init__(self, G, Nf=6, lpfactor=20, scales=None, normalize=False):
 
         lmin = G.lmax / lpfactor
 
@@ -82,4 +81,4 @@ def kernel(x, i=i):
 
             kernels.append(kernel)
 
-        super(MexicanHat, self).__init__(G, kernels, **kwargs)
+        super(MexicanHat, self).__init__(G, kernels)
diff --git a/pygsp/filters/meyer.py b/pygsp/filters/meyer.py
@@ -42,7 +42,7 @@ class Meyer(Filter):
 
     """
 
-    def __init__(self, G, Nf=6, scales=None, **kwargs):
+    def __init__(self, G, Nf=6, scales=None):
 
         if scales is None:
             scales = (4./(3 * G.lmax)) * np.power(2., np.arange(Nf-2, -1, -1))
@@ -90,4 +90,4 @@ def v(x):
 
             return r
 
-        super(Meyer, self).__init__(G, g, **kwargs)
+        super(Meyer, self).__init__(G, g)
diff --git a/pygsp/filters/papadakis.py b/pygsp/filters/papadakis.py
@@ -40,7 +40,7 @@ class Papadakis(Filter):
     >>> G.plot_signal(s, ax=axes[1])
 
     """
-    def __init__(self, G, a=0.75, **kwargs):
+    def __init__(self, G, a=0.75):
 
         g = [lambda x: papadakis(x * (2./G.lmax), a)]
         g.append(lambda x: np.real(np.sqrt(1 - (papadakis(x*(2./G.lmax), a)) **
@@ -61,4 +61,4 @@ def papadakis(val, a):
 
             return y
 
-        super(Papadakis, self).__init__(G, g, **kwargs)
+        super(Papadakis, self).__init__(G, g)
diff --git a/pygsp/filters/regular.py b/pygsp/filters/regular.py
@@ -48,7 +48,7 @@ class Regular(Filter):
     >>> G.plot_signal(s, ax=axes[1])
 
     """
-    def __init__(self, G, d=3, **kwargs):
+    def __init__(self, G, d=3):
 
         g = [lambda x: regular(x * (2./G.lmax), d)]
         g.append(lambda x: np.real(np.sqrt(1 - (regular(x * (2./G.lmax), d))
@@ -65,4 +65,4 @@ def regular(val, d):
 
                 return np.sin(np.pi / 4.*(1 + output))
 
-        super(Regular, self).__init__(G, g, **kwargs)
+        super(Regular, self).__init__(G, g)
diff --git a/pygsp/filters/simoncelli.py b/pygsp/filters/simoncelli.py
@@ -41,7 +41,7 @@ class Simoncelli(Filter):
 
     """
 
-    def __init__(self, G, a=2./3, **kwargs):
+    def __init__(self, G, a=2./3):
 
         g = [lambda x: simoncelli(x * (2./G.lmax), a)]
         g.append(lambda x: np.real(np.sqrt(1 -
@@ -63,4 +63,4 @@ def simoncelli(val, a):
 
             return y
 
-        super(Simoncelli, self).__init__(G, g, **kwargs)
+        super(Simoncelli, self).__init__(G, g)
diff --git a/pygsp/filters/simpletight.py b/pygsp/filters/simpletight.py
@@ -42,7 +42,7 @@ class SimpleTight(Filter):
 
     """
 
-    def __init__(self, G, Nf=6, scales=None, **kwargs):
+    def __init__(self, G, Nf=6, scales=None):
 
         def kernel(x, kerneltype):
             r"""
@@ -98,4 +98,4 @@ def h(x):
         for i in range(Nf - 1):
             g.append(lambda x, i=i: kernel(scales[i] * x, 'wavelet'))
 
-        super(SimpleTight, self).__init__(G, g, **kwargs)
+        super(SimpleTight, self).__init__(G, g)