updated doctests

wafo/gaussian.py

@@ -112,7 +112,7 @@ class Rind(object):
     >>> val, err, terr = rind(Sc,m,Blo,Bup,indI, xc, nt=0)
     >>> np.allclose(val, 0.05494076, rtol=1e-2)
     True
-    >>>  err < 1e-3, terr< 1e-7
+    >>> err < 1e-3, terr< 1e-7
     True, True
 
     Compute expectation E( X1^{+}*X2^{+} ) with random

wafo/objects.py

@@ -1592,16 +1592,24 @@ class TimeSeries(PlotData):
         >>> import wafo.objects as wo
         >>> x = wd.sea()
         >>> ts = wo.mat2timeseries(x)
+        >>> true_SH = [
+        ...     [[ 0.01186982,  0.04852534], [ 0.69,  0.86]],
+        ...     [[ 0.02918363,  0.06385979], [ 0.69,  0.86]],
+        ...     [[ 0.27797411,  0.33585743], [ 0.69,  0.86]],
+        ...     [[ 0.60835634,  0.60930197], [ 0.42,  0.78]],
+        ...     [[ 0.60835634,  0.60930197], [ 0.42,  0.78]],
+        ...     [[ 0.10140867,  0.06141156], [ 0.42,  0.78]],
+        ...     [[ 0.01821413,  0.01236672], [ 0.42,  0.78]]]
         >>> for i in range(-3,4):
         ...     S, H = ts.wave_height_steepness(method=i)
-        ...     print(S[:2],H[:2])
+        ...     np.allclose((S[:2],H[:2]), true_SH[i+3])
-        [ 0.01186982  0.04852534]), [ 0.69,  0.86]
+        True
-        [ 0.02918363,  0.06385979]) [ 0.69,  0.86]
+        True
-        [ 0.27797411,  0.33585743]) [ 0.69,  0.86]
+        True
-        [ 0.60835634,  0.60930197]) [ 0.42,  0.78]
+        True
-        [ 0.60835634,  0.60930197]) [ 0.42,  0.78]
+        True
-        [ 0.10140867,  0.06141156]) [ 0.42,  0.78]
+        True
-        [ 0.01821413,  0.01236672]) [ 0.42,  0.78]
+        True
 
         import pylab as plt
         h = plt.plot(S,H,'.')

wafo/tests/test_misc.py

@@ -583,7 +583,8 @@ class TestPiecewise(TestCase):
         x = np.linspace(-2, 2, 5)
         X, Y = np.meshgrid(x, x)
         vals = piecewise([X * Y < -0.5, X * Y > 0.5],
-                         [lambda x, y: -x * y, lambda x, y: x * y, np.nan], (X, Y))
+                         [lambda x, y: -x * y, lambda x, y: x * y, np.nan],
+                         (X, Y))
         nan = np.nan
         assert_array_equal(vals, [[4.,   2.,  nan,   2.,   4.],
                                   [2.,   1.,  nan,   1.,   2.],

wafo/transform/estimation.py

@@ -397,8 +397,8 @@ class TransformEstimator(object):
         141
         >>> int(g0emp.dist2gauss()*100)>17000
         True
-        >>> int(g0.dist2gauss()*100)
+        >>> int(g0.dist2gauss()*100) > 90
-        93
+        True
         >>> int(g1.dist2gauss()*100)
         66
         >>> int(g2.dist2gauss()*100)