text: from __future__ import division, absolute_import, print_function
  
  from numpy.testing import TestCase, run_module_suite, assert_,\
          assert_array_equal
  from numpy import random
  from numpy.compat import long
  import numpy as np
  
  
  class TestRegression(TestCase):
  
      def test_VonMises_range(self):
          """Make sure generated random variables are in [-pi, pi].
  
          Regression test for ticket #986.
          """
          for mu in np.linspace(-7., 7., 5):
              r = random.mtrand.vonmises(mu,1,50)
              assert_(np.all(r > -np.pi) and np.all(r <= np.pi))
  
      def test_hypergeometric_range(self) :
          """Test for ticket #921"""
          assert_(np.all(np.random.hypergeometric(3, 18, 11, size=10) < 4))
          assert_(np.all(np.random.hypergeometric(18, 3, 11, size=10) > 0))
  
      def test_logseries_convergence(self) :
          """Test for ticket #923"""
          N = 1000
          np.random.seed(0)
          rvsn = np.random.logseries(0.8, size=N)
          # these two frequency counts should be close to theoretical
          # numbers with this large sample
          # theoretical large N result is 0.49706795
          freq = np.sum(rvsn == 1) / float(N)
          msg = "Frequency was %f, should be > 0.45" % freq
          assert_(freq > 0.45, msg)
          # theoretical large N result is 0.19882718
          freq = np.sum(rvsn == 2) / float(N)
          msg = "Frequency was %f, should be < 0.23" % freq
          assert_(freq < 0.23, msg)
  
      def test_permutation_longs(self):
          np.random.seed(1234)
          a = np.random.permutation(12)
          np.random.seed(1234)
          b = np.random.permutation(long(12))
          assert_array_equal(a, b)
  
      def test_hypergeometric_range(self) :
          """Test for ticket #1690"""
          lmax = np.iinfo('l').max
          lmin = np.iinfo('l').min
          try:
              random.randint(lmin, lmax)
          except:
              raise AssertionError
  
      def test_shuffle_mixed_dimension(self):
          """Test for trac ticket #2074"""
          for t in [[1, 2, 3, None],
                    [(1, 1), (2, 2), (3, 3), None],
                    [1, (2, 2), (3, 3), None],
                    [(1, 1), 2, 3, None]]:
              np.random.seed(12345)
              shuffled = list(t)
              random.shuffle(shuffled)
              assert_array_equal(shuffled, [t[0], t[3], t[1], t[2]])
  
      def test_call_within_randomstate(self):
          # Check that custom RandomState does not call into global state
          m = np.random.RandomState()
          res = np.array([0, 8, 7, 2, 1, 9, 4, 7, 0, 3])
          for i in range(3):
              np.random.seed(i)
              m.seed(4321)
              # If m.state is not honored, the result will change
              assert_array_equal(m.choice(10, size=10, p=np.ones(10.)/10), res)
  
  if __name__ == "__main__":
      run_module_suite()
  