Made doctests more robust.

wafo/containers.py

@@ -187,8 +187,9 @@ class PlotData(object):
         >>> y = np.sin(x)
         >>> ci = PlotData(np.vstack((y*.9, y*1.1)).T, x)
         >>> d = PlotData(y, x, children=[ci])
-        >>> d.integrate(0, np.pi/2, return_ci=True)
-        array([ 0.99940055,  0.89946049,  1.0993406 ])
+        >>> np.allclose(d.integrate(0, np.pi/2, return_ci=True),
+        ...             [ 0.99940055,  0.89946049,  1.0993406 ])
+        True
         >>> np.allclose(d.integrate(0, 5, return_ci=True),
         ...    d.integrate(return_ci=True))
         True
@@ -209,7 +210,7 @@ class PlotData(object):
         return res
 
     def _plot_children(self, axis, plotflag, kwds):
-        axis.hold('on')
+        # axis.hold('on')
         tmp = []
         child_args = kwds.pop('plot_args_children',
                               tuple(self.plot_args_children))
@@ -413,7 +414,7 @@ def plot1d(axis, args, data, dataCI, plotflag, *varargin, **kwds):
         plotfun = getattr(axis, fun)
         h.extend(plotfun(args, data, *varargin, **kwds))
         if np.any(dataCI) and plottype < 3:
-            axis.hold(True)
+            # axis.hold(True)
             h.extend(plotfun(args, dataCI, 'r--'))
     elif plottype == 4:
         h = axis.errorbar(args, data,

wafo/dctpack.py

@@ -95,10 +95,10 @@ def dct(x, type=2, n=None, axis=-1, norm='ortho'):  # @ReservedAssignment
     --------
     >>> import numpy as np
     >>> x = np.arange(5)
-    >>> np.abs(x-idct(dct(x)))<1e-14
-    array([ True,  True,  True,  True,  True], dtype=bool)
-    >>> np.abs(x-dct(idct(x)))<1e-14
-    array([ True,  True,  True,  True,  True], dtype=bool)
+    >>> np.allclose(x, idct(dct(x)))
+    True
+    >>> np.allclose(x, dct(idct(x)))
+    True
 
     References
     ----------

wafo/gaussian.py

@@ -705,8 +705,8 @@ def prbnormnd(correl, a, b, abseps=1e-4, releps=1e-3, maxpts=None, method=0):
     ...    [0.0019456719705212067, 1.0059406844578488e-05, 0])
     True
 
-    >>> np.abs(val-Et)< err0+terr0
-    array([ True], dtype=bool)
+    >>> np.allclose(np.abs(val-Et) < err0+terr0, True)
+    True
     >>> 'val = %2.5f' % val
     'val = 0.00195'
 

wafo/integrate.py

@@ -453,8 +453,8 @@ def la_roots(n, alpha=0, method='newton'):
     -------
     >>> import numpy as np
     >>> [x,w] = h_roots(10)
-    >>> np.sum(x*w)
-    1.3352627380516791e-17
+    >>> np.allclose(np.sum(x*w) < 1e-16, True)
+    True
 
     See also
     --------

wafo/misc.py

@@ -273,18 +273,18 @@ def lazyselect(condlist, choicelist, arrays, default=0):
     Examples
     --------
     >>> x = np.arange(6)
-    >>> np.select([x <3, x > 3], [x**2, x**3], default=0)
-    array([  0,   1,   4,   0,  64, 125])
-
-    >>> lazyselect([x < 3, x > 3], [lambda x: x**2, lambda x: x**3], (x,))
-    array([   0.,    1.,    4.,    0.,   64.,  125.])
-
+    >>> np.allclose(np.select([x <3, x > 3], [x**2, x**3], default=0),
+    ...             [  0,   1,   4,   0,  64, 125])
+    True
+    >>> np.allclose(lazyselect([x < 3, x > 3], [lambda x: x**2, lambda x: x**3], (x,)),
+    ...             [   0.,    1.,    4.,    0.,   64.,  125.])
+    True
     >>> a = -np.ones_like(x)
-    >>> lazyselect([x < 3, x > 3],
-    ...             [lambda x, a: x**2, lambda x, a: a * x**3],
-    ...             (x, a))
-    array([   0.,    1.,    4.,    0.,  -64., -125.])
-
+    >>> np.allclose(lazyselect([x < 3, x > 3],
+    ...                        [lambda x, a: x**2, lambda x, a: a * x**3],
+    ...                        (x, a)),
+    ...             [   0.,    1.,    4.,    0.,  -64., -125.])
+    True
     """
     arrays = np.broadcast_arrays(*arrays)
     tcode = np.mintypecode([a.dtype.char for a in arrays])
@@ -1185,6 +1185,8 @@ def findrfc(tp, h=0.0, method='clib'):
         ind, ix = clib.findrfc(y, h)
         ix = int(ix)
     else:
+        if isinstance(method, str):
+            method = 2
         ind = numba_misc.findrfc(y, h, method)
         ix = len(ind)
 
@@ -1909,8 +1911,8 @@ def betaloge(z, w):
     Example
     -------
     >>> import wafo.misc as wm
-    >>> np.abs(wm.betaloge(3,2)+2.48490665)<1e-7
-    array([ True], dtype=bool)
+    >>> np.allclose(wm.betaloge(3,2), -2.48490665)
+    True
 
     See also
     --------

wafo/spectrum/core.py

@@ -1248,8 +1248,8 @@ class SpecData1D(PlotData):
 
         if paramt is None:
             # (2.5 * mean distance between extremes)
-            distanceBetweenExtremes = 5 * pi * sqrt(m[1] / m[2])
-            paramt = [0, distanceBetweenExtremes, 43]
+            distance_between_extremes = 5 * pi * sqrt(m[1] / m[2])
+            paramt = [0, distance_between_extremes, 43]
 
         if paramu is None:
             paramu = [-5 * sqrt(m[0]), 5 * sqrt(m[0]), 41]