old_contents: """
  >>> import numpy.core as nx
  >>> import numpy.lib.ufunclike as U
  
  Test fix:
  >>> a = nx.array([[1.0, 1.1, 1.5, 1.8], [-1.0, -1.1, -1.5, -1.8]])
  >>> U.fix(a)
  array([[ 1.,  1.,  1.,  1.],
         [ 0., -1., -1., -1.]])
  >>> y = nx.zeros(a.shape, float)
  >>> U.fix(a, y)
  array([[ 1.,  1.,  1.,  1.],
         [ 0., -1., -1., -1.]])
  >>> y
  array([[ 1.,  1.,  1.,  1.],
         [ 0., -1., -1., -1.]])
  
  Test isposinf, isneginf, sign
  >>> a = nx.array([nx.Inf, -nx.Inf, nx.NaN, 0.0, 3.0, -3.0])
  >>> U.isposinf(a)
  array([True, False, False, False, False, False], dtype=bool)
  >>> U.isneginf(a)
  array([False, True, False, False, False, False], dtype=bool)
  >>> olderr = nx.seterr(invalid='ignore')
  >>> nx.sign(a)
  array([ 1., -1.,  0.,  0.,  1., -1.])
  >>> olderr = nx.seterr(**olderr)
  
  Same thing with an output array:
  >>> y = nx.zeros(a.shape, bool)
  >>> U.isposinf(a, y)
  array([True, False, False, False, False, False], dtype=bool)
  >>> y
  array([True, False, False, False, False, False], dtype=bool)
  >>> U.isneginf(a, y)
  array([False, True, False, False, False, False], dtype=bool)
  >>> y
  array([False, True, False, False, False, False], dtype=bool)
  >>> olderr = nx.seterr(invalid='ignore')
  >>> nx.sign(a, y)
  array([True, True, False, False, True, True], dtype=bool)
  >>> olderr = nx.seterr(**olderr)
  >>> y
  array([True, True, False, False, True, True], dtype=bool)
  
  Now log2:
  >>> a = nx.array([4.5, 2.3, 6.5])
  >>> U.log2(a)
  array([ 2.169925  ,  1.20163386,  2.70043972])
  >>> 2**_
  array([ 4.5,  2.3,  6.5])
  >>> y = nx.zeros(a.shape, float)
  >>> U.log2(a, y)
  array([ 2.169925  ,  1.20163386,  2.70043972])
  >>> y
  array([ 2.169925  ,  1.20163386,  2.70043972])
  
  """
  
  from numpy.testing import *
  
  class test_docs(NumpyTestCase):
      def check_doctests(self): return self.rundocs()
  
  if __name__ == "__main__":
      NumpyTest().run()
  
new_contents: """
  >>> import numpy.core as nx
  >>> import numpy.lib.ufunclike as U
  
  Test fix:
  >>> a = nx.array([[1.0, 1.1, 1.5, 1.8], [-1.0, -1.1, -1.5, -1.8]])
  >>> U.fix(a)
  array([[ 1.,  1.,  1.,  1.],
         [ 0., -1., -1., -1.]])
  >>> y = nx.zeros(a.shape, float)
  >>> U.fix(a, y)
  array([[ 1.,  1.,  1.,  1.],
         [ 0., -1., -1., -1.]])
  >>> y
  array([[ 1.,  1.,  1.,  1.],
         [ 0., -1., -1., -1.]])
  
  Test isposinf, isneginf, sign
  >>> a = nx.array([nx.Inf, -nx.Inf, nx.NaN, 0.0, 3.0, -3.0])
  >>> U.isposinf(a)
  array([ True, False, False, False, False, False], dtype=bool)
  >>> U.isneginf(a)
  array([False,  True, False, False, False, False], dtype=bool)
  >>> olderr = nx.seterr(invalid='ignore')
  >>> nx.sign(a)
  array([ 1., -1.,  0.,  0.,  1., -1.])
  >>> olderr = nx.seterr(**olderr)
  
  Same thing with an output array:
  >>> y = nx.zeros(a.shape, bool)
  >>> U.isposinf(a, y)
  array([ True, False, False, False, False, False], dtype=bool)
  >>> y
  array([ True, False, False, False, False, False], dtype=bool)
  >>> U.isneginf(a, y)
  array([False,  True, False, False, False, False], dtype=bool)
  >>> y
  array([False,  True, False, False, False, False], dtype=bool)
  >>> olderr = nx.seterr(invalid='ignore')
  >>> nx.sign(a, y)
  array([ True,  True, False, False,  True,  True], dtype=bool)
  >>> olderr = nx.seterr(**olderr)
  >>> y
  array([ True,  True, False, False,  True,  True], dtype=bool)
  
  Now log2:
  >>> a = nx.array([4.5, 2.3, 6.5])
  >>> U.log2(a)
  array([ 2.169925  ,  1.20163386,  2.70043972])
  >>> 2**_
  array([ 4.5,  2.3,  6.5])
  >>> y = nx.zeros(a.shape, float)
  >>> U.log2(a, y)
  array([ 2.169925  ,  1.20163386,  2.70043972])
  >>> y
  array([ 2.169925  ,  1.20163386,  2.70043972])
  
  """
  
  from numpy.testing import *
  
  class test_docs(NumpyTestCase):
      def check_doctests(self): return self.rundocs()
  
  if __name__ == "__main__":
      NumpyTest().run()
  
subject: Fix tests for Boolean.